'''Trains DCGAN on MNIST using Keras
DCGAN is a Generative Adversarial Network (GAN) using CNN.
The generator tries to fool the discriminator by generating fake images.
The discriminator learns to discriminate real from fake images.
The generator + discriminator form an adversarial network.
DCGAN trains the discriminator and adversarial networks alternately.
During training, not only the discriminator learns to distinguish real from
fake images, it also coaches the generator part of the adversarial on how
to improve its ability to generate fake images.
[1] Radford, Alec, Luke Metz, and Soumith Chintala.
"Unsupervised representation learning with deep convolutional
generative adversarial networks." arXiv preprint arXiv:1511.06434 (2015).
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras.layers import Activation, Dense, Input
from keras.layers import Conv2D, Flatten
from keras.layers import Reshape, Conv2DTranspose
from keras.layers import LeakyReLU
from keras.layers import BatchNormalization
from keras.optimizers import RMSprop
from keras.models import Model
from keras.datasets import mnist
from keras.models import load_model
import numpy as np
import math
import matplotlib.pyplot as plt
import os
import argparse
In [4]:
def build_generator(inputs, image_size):
"""Build a Generator Model
Summay : z-vectors(n-dim) --> fake images(28x28 pixels)
Stack of BN-ReLU-Conv2DTranpose to generate fake images
Output activation is sigmoid instead of tanh in [1].
Sigmoid converges easily.
# Arguments
inputs (Layer): Input layer of the generator (the z-vector)
image_size: Target size of one side (assuming square image)
# Returns
Model: Generator Model
"""
image_resize = image_size // 4 # '7' , for mnist
# network parameters
kernel_size = 5
layer_filters = [128, 64, 32, 1]
# -> 7 * 7 * 128 , inputs - latent vector dim(100 or ...)
x = Dense(image_resize * image_resize * layer_filters[0])(inputs)
# Reshape(7,7,128)
x = Reshape((image_resize, image_resize, layer_filters[0]))(x)
for filters in layer_filters:
# first two convolution layers use strides = 2
# the last two use strides = 1
if filters > layer_filters[-2]:
strides = 2
else:
strides = 1
x = BatchNormalization()(x)
x = Activation('relu')(x)
x = Conv2DTranspose(filters=filters,
kernel_size=kernel_size,
strides=strides,
padding='same')(x)
x = Activation('sigmoid')(x)
generator = Model(inputs, x, name='generator')
return generator
In [5]:
def build_discriminator(inputs):
"""Build a Discriminator Model
Try to return '1' for the real image from dataset
Try to return '0' for the fake image from generator network
Stack of LeakyReLU-Conv2D to discriminate real from fake.
The network does not converge with BN so it is not used here
unlike in [1] or original paper.
# Arguments
inputs (Layer): Input layer of the discriminator (the image)
# Returns
Model: Discriminator Model
"""
kernel_size = 5
layer_filters = [32, 64, 128, 256]
x = inputs
for filters in layer_filters:
# first 3 convolution layers use strides = 2
# last one uses strides = 1
if filters == layer_filters[-1]:
strides = 1
else:
strides = 2
x = LeakyReLU(alpha=0.2)(x)
x = Conv2D(filters=filters,
kernel_size=kernel_size,
strides=strides,
padding='same')(x)
x = Flatten()(x)
x = Dense(1)(x)
x = Activation('sigmoid')(x)
discriminator = Model(inputs, x, name='discriminator')
return discriminator
In [6]:
def train(models, x_train, params):
"""Train the Discriminator and Adversarial Networks
Alternately train Discriminator and Adversarial networks by batch.
Discriminator is trained first with properly real and fake images.
Adversarial is trained next with fake images pretending to be real
Generate sample images per save_interval.
# Arguments
models (list): Generator, Discriminator, Adversarial models
x_train (tensor): Train images
params (list) : Networks parameters
"""
# the GAN models
generator, discriminator, adversarial = models
# network parameters
batch_size, latent_size, train_steps, model_name = params
# the generator image is saved every 500 steps
save_interval = 500
# noise vector to see how the generator output evolves during training
noise_input = np.random.uniform(-1.0, 1.0, size=[16, latent_size])
# number of elements in train dataset
train_size = x_train.shape[0]
for i in range(train_steps):
# train the discriminator for 1 batch
# 1 batch of real (label=1.0) and fake images (label=0.0)
# randomly pick real images from dataset
rand_indexes = np.random.randint(0, train_size, size=batch_size)
real_images = x_train[rand_indexes]
# generate fake images from noise using generator
# generate noise using uniform distribution
noise = np.random.uniform(-1.0, 1.0, size=[batch_size, latent_size])
# generate fake images
fake_images = generator.predict(noise)
# real + fake images = 1 batch of train data
x = np.concatenate((real_images, fake_images))
# label real and fake images
# real images label is 1.0
y = np.ones([2 * batch_size, 1])
# fake images label is 0.0
y[batch_size:, :] = 0.0
# train discriminator network, log the loss and accuracy
loss, acc = discriminator.train_on_batch(x, y)
log = "%d: [discriminator loss: %f, acc: %f]" % (i, loss, acc)
# train the adversarial network for 1 batch of fake images with label=1.0
# since the discriminator weights are frozen in adversarial network, only the generator is trained
# generate noise using uniform distribution
noise = np.random.uniform(-1.0, 1.0, size=[batch_size, latent_size])
# label fake images as real or 1.0
y = np.ones([batch_size, 1])
# train the adversarial network
# note that unlike in discriminator training,
# we do not save the fake images in a variable
# the fake images go to the discriminator input of the adversarial
# for classification
# log the loss and accuracy
loss, acc = adversarial.train_on_batch(noise, y)
log = "%s [adversarial loss: %f, acc: %f]" % (log, loss, acc)
print(log)
if (i + 1) % save_interval == 0:
if (i + 1) == train_steps:
show = True
else:
show = False
# plot generator images on a periodic basis
plot_images(generator,
noise_input=noise_input,
show=show,
step=(i + 1),
model_name=model_name)
# save the model after training the generator
# the trained generator can be reloaded for future MNIST digit generation
generator.save(model_name + ".h5")
In [7]:
def plot_images(generator,
noise_input,
show=False,
step=0,
model_name="gan"):
"""Generate fake images and plot them
For visualization purposes, generate fake images
then plot them in a square grid
# Arguments
generator (Model): The Generator Model for fake images generation
noise_input (ndarray): Array of z-vectors
show (bool): Whether to show plot or not
step (int): Appended to filename of the save images
model_name (string): Model name
"""
os.makedirs(model_name, exist_ok=True)
filename = os.path.join(model_name, "%05d.png" % step)
images = generator.predict(noise_input)
plt.figure(figsize=(2.2, 2.2))
num_images = images.shape[0]
image_size = images.shape[1]
rows = int(math.sqrt(noise_input.shape[0]))
for i in range(num_images):
plt.subplot(rows, rows, i + 1)
image = np.reshape(images[i], [image_size, image_size])
plt.imshow(image, cmap='gray')
plt.axis('off')
plt.savefig(filename)
if show:
plt.show()
else:
plt.close('all')
In [8]:
# load MNIST dataset
(x_train, _), (_, _) = mnist.load_data()
# reshape data for CNN as (28, 28, 1) and normalize
image_size = x_train.shape[1]
x_train = np.reshape(x_train, [-1, image_size, image_size, 1])
x_train = x_train.astype('float32') / 255
In [9]:
model_name = "dcgan_mnist-practice"
# network parameters
# the latent or z vector is 100-dim
latent_size = 100
batch_size = 64
train_steps = 40000
lr = 2e-4
decay = 6e-8
input_shape = (image_size, image_size, 1)
In [10]:
# build discriminator model
inputs = Input(shape=input_shape, name='discriminator_input')
discriminator = build_discriminator(inputs)
# [1] or original paper uses Adam,
# but discriminator converges easily with RMSprop
optimizer = RMSprop(lr=lr, decay=decay)
discriminator.compile(loss='binary_crossentropy',
optimizer=optimizer,
metrics=['accuracy'])
discriminator.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= discriminator_input (InputLa (None, 28, 28, 1) 0 _________________________________________________________________ leaky_re_lu_1 (LeakyReLU) (None, 28, 28, 1) 0 _________________________________________________________________ conv2d_1 (Conv2D) (None, 14, 14, 32) 832 _________________________________________________________________ leaky_re_lu_2 (LeakyReLU) (None, 14, 14, 32) 0 _________________________________________________________________ conv2d_2 (Conv2D) (None, 7, 7, 64) 51264 _________________________________________________________________ leaky_re_lu_3 (LeakyReLU) (None, 7, 7, 64) 0 _________________________________________________________________ conv2d_3 (Conv2D) (None, 4, 4, 128) 204928 _________________________________________________________________ leaky_re_lu_4 (LeakyReLU) (None, 4, 4, 128) 0 _________________________________________________________________ conv2d_4 (Conv2D) (None, 4, 4, 256) 819456 _________________________________________________________________ flatten_1 (Flatten) (None, 4096) 0 _________________________________________________________________ dense_1 (Dense) (None, 1) 4097 _________________________________________________________________ activation_1 (Activation) (None, 1) 0 ================================================================= Total params: 1,080,577 Trainable params: 1,080,577 Non-trainable params: 0 _________________________________________________________________
In [11]:
# Display discriminator Model
from IPython.display import SVG
from keras.utils.vis_utils import model_to_dot
def plot_keras_model(model,show_shapes=True,show_layer_names=True):
return SVG(model_to_dot(model,show_shapes=show_shapes,show_layer_names=show_layer_names).create(prog='dot',format='svg'))
plot_keras_model(discriminator, show_shapes=True, show_layer_names=False)
Out[11]:
In [13]:
# build generator model
input_shape = (latent_size, )
inputs = Input(shape=input_shape, name='z_input')
generator = build_generator(inputs, image_size)
generator.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= z_input (InputLayer) (None, 100) 0 _________________________________________________________________ dense_2 (Dense) (None, 6272) 633472 _________________________________________________________________ reshape_1 (Reshape) (None, 7, 7, 128) 0 _________________________________________________________________ batch_normalization_1 (Batch (None, 7, 7, 128) 512 _________________________________________________________________ activation_2 (Activation) (None, 7, 7, 128) 0 _________________________________________________________________ conv2d_transpose_1 (Conv2DTr (None, 14, 14, 128) 409728 _________________________________________________________________ batch_normalization_2 (Batch (None, 14, 14, 128) 512 _________________________________________________________________ activation_3 (Activation) (None, 14, 14, 128) 0 _________________________________________________________________ conv2d_transpose_2 (Conv2DTr (None, 28, 28, 64) 204864 _________________________________________________________________ batch_normalization_3 (Batch (None, 28, 28, 64) 256 _________________________________________________________________ activation_4 (Activation) (None, 28, 28, 64) 0 _________________________________________________________________ conv2d_transpose_3 (Conv2DTr (None, 28, 28, 32) 51232 _________________________________________________________________ batch_normalization_4 (Batch (None, 28, 28, 32) 128 _________________________________________________________________ activation_5 (Activation) (None, 28, 28, 32) 0 _________________________________________________________________ conv2d_transpose_4 (Conv2DTr (None, 28, 28, 1) 801 _________________________________________________________________ activation_6 (Activation) (None, 28, 28, 1) 0 ================================================================= Total params: 1,301,505 Trainable params: 1,300,801 Non-trainable params: 704 _________________________________________________________________
In [14]:
# Display generator Model
plot_keras_model(generator, show_shapes=True, show_layer_names=False)
Out[14]:
In [15]:
# build adversarial model
# freeze the weights of discriminator during adversarial training
discriminator.trainable = False
# adversarial = generator + discriminator
# inputs : latent vectors
adversarial = Model(inputs,
discriminator(generator(inputs)),
name=model_name)
adversarial.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= z_input (InputLayer) (None, 100) 0 _________________________________________________________________ generator (Model) (None, 28, 28, 1) 1301505 _________________________________________________________________ discriminator (Model) (None, 1) 1080577 ================================================================= Total params: 2,382,082 Trainable params: 1,300,801 Non-trainable params: 1,081,281 _________________________________________________________________
In [16]:
# Display Model in Jupyter notebook
plot_keras_model(adversarial, show_shapes=True, show_layer_names=True)
Out[16]:
In [14]:
optimizer = RMSprop(lr=lr * 0.5, decay=decay * 0.5)
adversarial.compile(loss='binary_crossentropy',
optimizer=optimizer,
metrics=['accuracy'])
In [16]:
# train discriminator and adversarial networks
models = (generator, discriminator, adversarial)
params = (batch_size, latent_size, train_steps, model_name)
train(models, x_train, params)
/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:479: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ? 'Discrepancy between trainable weights and collected trainable'
0: [discriminator loss: 0.694353, acc: 0.500000] [adversarial loss: 1.131313, acc: 0.000000] 1: [discriminator loss: 0.604461, acc: 0.507812] [adversarial loss: 1.409549, acc: 0.000000] 2: [discriminator loss: 0.483460, acc: 0.976562] [adversarial loss: 2.049055, acc: 0.000000] 3: [discriminator loss: 0.342702, acc: 0.968750] [adversarial loss: 1.404867, acc: 0.000000] 4: [discriminator loss: 0.262580, acc: 1.000000] [adversarial loss: 4.566052, acc: 0.000000] 5: [discriminator loss: 0.320121, acc: 0.835938] [adversarial loss: 1.795847, acc: 0.000000] 6: [discriminator loss: 0.128152, acc: 1.000000] [adversarial loss: 2.486201, acc: 0.000000] 7: [discriminator loss: 0.082105, acc: 1.000000] [adversarial loss: 1.931941, acc: 0.000000] 8: [discriminator loss: 0.053001, acc: 0.992188] [adversarial loss: 1.847832, acc: 0.000000] 9: [discriminator loss: 0.051198, acc: 0.992188] [adversarial loss: 1.173604, acc: 0.015625] 10: [discriminator loss: 0.033647, acc: 1.000000] [adversarial loss: 1.014156, acc: 0.015625] 11: [discriminator loss: 0.038642, acc: 1.000000] [adversarial loss: 0.458595, acc: 0.984375] 12: [discriminator loss: 0.025923, acc: 1.000000] [adversarial loss: 0.598428, acc: 0.812500] 13: [discriminator loss: 0.027558, acc: 0.992188] [adversarial loss: 0.294361, acc: 1.000000] 14: [discriminator loss: 0.020531, acc: 1.000000] [adversarial loss: 0.299450, acc: 1.000000] 15: [discriminator loss: 0.011504, acc: 1.000000] [adversarial loss: 0.387873, acc: 1.000000] 16: [discriminator loss: 0.012693, acc: 1.000000] [adversarial loss: 0.173423, acc: 1.000000] 17: [discriminator loss: 0.012767, acc: 1.000000] [adversarial loss: 0.263740, acc: 1.000000] 18: [discriminator loss: 0.037627, acc: 0.992188] [adversarial loss: 0.012322, acc: 1.000000] 19: [discriminator loss: 0.199748, acc: 0.976562] [adversarial loss: 6.656594, acc: 0.000000] 20: [discriminator loss: 0.229046, acc: 0.906250] [adversarial loss: 2.458721, acc: 0.000000] 21: [discriminator loss: 0.077741, acc: 0.960938] [adversarial loss: 1.032811, acc: 0.125000] 22: [discriminator loss: 0.044526, acc: 0.992188] [adversarial loss: 0.506245, acc: 0.859375] 23: [discriminator loss: 0.030506, acc: 0.992188] [adversarial loss: 0.268974, acc: 1.000000] 24: [discriminator loss: 0.038575, acc: 0.992188] [adversarial loss: 0.259561, acc: 1.000000] 25: [discriminator loss: 0.030651, acc: 1.000000] [adversarial loss: 0.204461, acc: 0.984375] 26: [discriminator loss: 0.032286, acc: 1.000000] [adversarial loss: 0.383326, acc: 0.968750] 27: [discriminator loss: 0.038983, acc: 0.992188] [adversarial loss: 0.336381, acc: 0.968750] 28: [discriminator loss: 0.036618, acc: 0.992188] [adversarial loss: 0.414660, acc: 0.937500] 29: [discriminator loss: 0.054300, acc: 0.992188] [adversarial loss: 0.403979, acc: 0.937500] 30: [discriminator loss: 0.055933, acc: 1.000000] [adversarial loss: 3.330119, acc: 0.000000] 31: [discriminator loss: 0.128191, acc: 0.953125] [adversarial loss: 0.181882, acc: 1.000000] 32: [discriminator loss: 0.551011, acc: 0.609375] [adversarial loss: 10.933226, acc: 0.000000] 33: [discriminator loss: 1.342378, acc: 0.593750] [adversarial loss: 3.332301, acc: 0.000000] 34: [discriminator loss: 0.329426, acc: 0.937500] [adversarial loss: 4.635064, acc: 0.000000] 35: [discriminator loss: 0.481054, acc: 0.843750] [adversarial loss: 3.819143, acc: 0.000000] 36: [discriminator loss: 0.419218, acc: 0.906250] [adversarial loss: 5.257792, acc: 0.000000] 37: [discriminator loss: 0.610330, acc: 0.804688] [adversarial loss: 3.396737, acc: 0.000000] 38: [discriminator loss: 0.517678, acc: 0.601562] [adversarial loss: 5.436646, acc: 0.000000] 39: [discriminator loss: 0.601953, acc: 0.726562] [adversarial loss: 3.273737, acc: 0.000000] 40: [discriminator loss: 0.607816, acc: 0.453125] [adversarial loss: 4.440269, acc: 0.000000] 41: [discriminator loss: 0.505063, acc: 0.867188] [adversarial loss: 3.267433, acc: 0.000000] 42: [discriminator loss: 0.413637, acc: 0.937500] [adversarial loss: 4.551505, acc: 0.000000] 43: [discriminator loss: 0.494202, acc: 0.835938] [adversarial loss: 2.810968, acc: 0.000000] 44: [discriminator loss: 0.375644, acc: 0.921875] [adversarial loss: 4.526055, acc: 0.000000] 45: [discriminator loss: 0.473504, acc: 0.828125] [adversarial loss: 2.381544, acc: 0.000000] 46: [discriminator loss: 0.378251, acc: 0.789062] [adversarial loss: 4.834954, acc: 0.000000] 47: [discriminator loss: 0.497210, acc: 0.796875] [adversarial loss: 2.250176, acc: 0.000000] 48: [discriminator loss: 0.445223, acc: 0.562500] [adversarial loss: 4.633033, acc: 0.000000] 49: [discriminator loss: 0.582421, acc: 0.765625] [adversarial loss: 2.063641, acc: 0.000000] 50: [discriminator loss: 0.462710, acc: 0.531250] [adversarial loss: 3.998939, acc: 0.000000] 51: [discriminator loss: 0.414758, acc: 0.898438] [adversarial loss: 2.563703, acc: 0.000000] 52: [discriminator loss: 0.329239, acc: 0.992188] [adversarial loss: 3.221201, acc: 0.000000] 53: [discriminator loss: 0.332350, acc: 0.953125] [adversarial loss: 2.406249, acc: 0.000000] 54: [discriminator loss: 0.291377, acc: 1.000000] [adversarial loss: 3.551624, acc: 0.000000] 55: [discriminator loss: 0.350526, acc: 0.960938] [adversarial loss: 2.150144, acc: 0.000000] 56: [discriminator loss: 0.486473, acc: 0.531250] [adversarial loss: 4.475140, acc: 0.000000] 57: [discriminator loss: 0.654938, acc: 0.679688] [adversarial loss: 1.235243, acc: 0.000000] 58: [discriminator loss: 0.674939, acc: 0.500000] [adversarial loss: 4.197357, acc: 0.000000] 59: [discriminator loss: 0.658426, acc: 0.656250] [adversarial loss: 1.408431, acc: 0.000000] 60: [discriminator loss: 0.461873, acc: 0.507812] [adversarial loss: 3.073743, acc: 0.000000] 61: [discriminator loss: 0.322648, acc: 0.937500] [adversarial loss: 2.120370, acc: 0.000000] 62: [discriminator loss: 0.256707, acc: 1.000000] [adversarial loss: 2.656079, acc: 0.000000] 63: [discriminator loss: 0.236053, acc: 0.992188] [adversarial loss: 2.488392, acc: 0.000000] 64: [discriminator loss: 0.313273, acc: 0.984375] [adversarial loss: 2.703058, acc: 0.000000] 65: [discriminator loss: 0.382670, acc: 0.968750] [adversarial loss: 2.574789, acc: 0.000000] 66: [discriminator loss: 0.396556, acc: 0.968750] [adversarial loss: 2.627122, acc: 0.000000] 67: [discriminator loss: 0.429243, acc: 0.945312] [adversarial loss: 2.192708, acc: 0.000000] 68: [discriminator loss: 0.428579, acc: 0.671875] [adversarial loss: 3.390063, acc: 0.000000] 69: [discriminator loss: 0.559431, acc: 0.820312] [adversarial loss: 0.725817, acc: 0.359375] 70: [discriminator loss: 0.985896, acc: 0.500000] [adversarial loss: 3.332267, acc: 0.000000] 71: [discriminator loss: 0.480453, acc: 0.796875] [adversarial loss: 1.405473, acc: 0.000000] 72: [discriminator loss: 0.356954, acc: 0.781250] [adversarial loss: 2.257371, acc: 0.000000] 73: [discriminator loss: 0.243499, acc: 1.000000] [adversarial loss: 2.098012, acc: 0.000000] 74: [discriminator loss: 0.234902, acc: 1.000000] [adversarial loss: 2.169282, acc: 0.000000] 75: [discriminator loss: 0.231826, acc: 0.984375] [adversarial loss: 2.047925, acc: 0.000000] 76: [discriminator loss: 0.231532, acc: 1.000000] [adversarial loss: 2.494895, acc: 0.000000] 77: [discriminator loss: 0.283415, acc: 0.984375] [adversarial loss: 1.817934, acc: 0.000000] 78: [discriminator loss: 0.327553, acc: 0.976562] [adversarial loss: 3.350922, acc: 0.000000] 79: [discriminator loss: 0.416026, acc: 0.828125] [adversarial loss: 0.948741, acc: 0.015625] 80: [discriminator loss: 0.567175, acc: 0.500000] [adversarial loss: 3.616099, acc: 0.000000] 81: [discriminator loss: 0.553282, acc: 0.781250] [adversarial loss: 1.137476, acc: 0.000000] 82: [discriminator loss: 0.446575, acc: 0.515625] [adversarial loss: 2.390731, acc: 0.000000] 83: [discriminator loss: 0.253431, acc: 0.960938] [adversarial loss: 1.841054, acc: 0.000000] 84: [discriminator loss: 0.293341, acc: 0.992188] [adversarial loss: 2.429414, acc: 0.000000] 85: [discriminator loss: 0.320824, acc: 0.929688] [adversarial loss: 1.550399, acc: 0.000000] 86: [discriminator loss: 0.330340, acc: 0.937500] [adversarial loss: 3.048189, acc: 0.000000] 87: [discriminator loss: 0.372307, acc: 0.875000] [adversarial loss: 1.230729, acc: 0.015625] 88: [discriminator loss: 0.450780, acc: 0.515625] [adversarial loss: 3.326976, acc: 0.000000] 89: [discriminator loss: 0.615623, acc: 0.750000] [adversarial loss: 0.802327, acc: 0.234375] 90: [discriminator loss: 0.570204, acc: 0.507812] [adversarial loss: 2.195454, acc: 0.000000] 91: [discriminator loss: 0.286086, acc: 0.945312] [adversarial loss: 1.607085, acc: 0.000000] 92: [discriminator loss: 0.264280, acc: 0.953125] [adversarial loss: 1.973060, acc: 0.000000] 93: [discriminator loss: 0.279334, acc: 0.968750] [adversarial loss: 1.704944, acc: 0.000000] 94: [discriminator loss: 0.308635, acc: 0.960938] [adversarial loss: 2.001107, acc: 0.000000] 95: [discriminator loss: 0.311436, acc: 0.976562] [adversarial loss: 1.615703, acc: 0.000000] 96: [discriminator loss: 0.315896, acc: 0.898438] [adversarial loss: 2.361559, acc: 0.000000] 97: [discriminator loss: 0.280537, acc: 0.976562] [adversarial loss: 1.388992, acc: 0.000000] 98: [discriminator loss: 0.371069, acc: 0.820312] [adversarial loss: 2.920920, acc: 0.000000] 99: [discriminator loss: 0.453019, acc: 0.812500] [adversarial loss: 0.428960, acc: 0.937500] 100: [discriminator loss: 0.659328, acc: 0.515625] [adversarial loss: 2.104692, acc: 0.000000] 101: [discriminator loss: 0.267819, acc: 0.984375] [adversarial loss: 1.417187, acc: 0.031250] 102: [discriminator loss: 0.298905, acc: 0.906250] [adversarial loss: 2.166832, acc: 0.000000] 103: [discriminator loss: 0.289777, acc: 0.968750] [adversarial loss: 0.824627, acc: 0.406250] 104: [discriminator loss: 0.412874, acc: 0.734375] [adversarial loss: 2.583477, acc: 0.000000] 105: [discriminator loss: 0.395216, acc: 0.875000] [adversarial loss: 0.379927, acc: 0.937500] 106: [discriminator loss: 0.535657, acc: 0.578125] [adversarial loss: 1.969282, acc: 0.000000] 107: [discriminator loss: 0.315395, acc: 0.937500] [adversarial loss: 0.905386, acc: 0.328125] 108: [discriminator loss: 0.396045, acc: 0.773438] [adversarial loss: 2.340115, acc: 0.000000] 109: [discriminator loss: 0.398737, acc: 0.843750] [adversarial loss: 0.282646, acc: 0.984375] 110: [discriminator loss: 0.590049, acc: 0.609375] [adversarial loss: 1.715783, acc: 0.015625] 111: [discriminator loss: 0.324735, acc: 0.953125] [adversarial loss: 0.708796, acc: 0.484375] 112: [discriminator loss: 0.396810, acc: 0.750000] [adversarial loss: 2.060785, acc: 0.000000] 113: [discriminator loss: 0.379024, acc: 0.882812] [adversarial loss: 0.305367, acc: 0.953125] 114: [discriminator loss: 0.476823, acc: 0.687500] [adversarial loss: 1.476672, acc: 0.062500] 115: [discriminator loss: 0.308144, acc: 0.968750] [adversarial loss: 0.761584, acc: 0.484375] 116: [discriminator loss: 0.376044, acc: 0.843750] [adversarial loss: 1.811442, acc: 0.000000] 117: [discriminator loss: 0.378098, acc: 0.906250] [adversarial loss: 0.185979, acc: 1.000000] 118: [discriminator loss: 0.612494, acc: 0.601562] [adversarial loss: 2.064156, acc: 0.000000] 119: [discriminator loss: 0.423548, acc: 0.796875] [adversarial loss: 0.215207, acc: 0.984375] 120: [discriminator loss: 0.616415, acc: 0.570312] [adversarial loss: 1.593067, acc: 0.015625] 121: [discriminator loss: 0.386059, acc: 0.882812] [adversarial loss: 0.656079, acc: 0.546875] 122: [discriminator loss: 0.409022, acc: 0.796875] [adversarial loss: 1.945279, acc: 0.000000] 123: [discriminator loss: 0.445849, acc: 0.820312] [adversarial loss: 0.231199, acc: 0.984375] 124: [discriminator loss: 0.623049, acc: 0.625000] [adversarial loss: 2.008186, acc: 0.000000] 125: [discriminator loss: 0.461313, acc: 0.781250] [adversarial loss: 0.334860, acc: 0.953125] 126: [discriminator loss: 0.526859, acc: 0.671875] [adversarial loss: 1.646116, acc: 0.000000] 127: [discriminator loss: 0.396904, acc: 0.875000] [adversarial loss: 0.564883, acc: 0.750000] 128: [discriminator loss: 0.475931, acc: 0.773438] [adversarial loss: 1.974819, acc: 0.000000] 129: [discriminator loss: 0.459805, acc: 0.781250] [adversarial loss: 0.374187, acc: 0.921875] 130: [discriminator loss: 0.604305, acc: 0.593750] [adversarial loss: 2.145380, acc: 0.000000] 131: [discriminator loss: 0.504031, acc: 0.703125] [adversarial loss: 0.347105, acc: 0.953125] 132: [discriminator loss: 0.519141, acc: 0.710938] [adversarial loss: 1.338925, acc: 0.031250] 133: [discriminator loss: 0.394958, acc: 0.929688] [adversarial loss: 0.786805, acc: 0.406250] 134: [discriminator loss: 0.403749, acc: 0.851562] [adversarial loss: 1.392505, acc: 0.015625] 135: [discriminator loss: 0.401144, acc: 0.906250] [adversarial loss: 1.049742, acc: 0.109375] 136: [discriminator loss: 0.383282, acc: 0.906250] [adversarial loss: 1.408381, acc: 0.062500] 137: [discriminator loss: 0.369752, acc: 0.929688] [adversarial loss: 0.608570, acc: 0.656250] 138: [discriminator loss: 0.511964, acc: 0.671875] [adversarial loss: 2.985632, acc: 0.000000] 139: [discriminator loss: 0.665928, acc: 0.554688] [adversarial loss: 0.133783, acc: 1.000000] 140: [discriminator loss: 0.503394, acc: 0.656250] [adversarial loss: 0.592590, acc: 0.687500] 141: [discriminator loss: 0.395179, acc: 0.812500] [adversarial loss: 1.190503, acc: 0.031250] 142: [discriminator loss: 0.397739, acc: 0.929688] [adversarial loss: 0.734268, acc: 0.453125] 143: [discriminator loss: 0.436702, acc: 0.812500] [adversarial loss: 1.933683, acc: 0.000000] 144: [discriminator loss: 0.430707, acc: 0.796875] [adversarial loss: 0.378025, acc: 0.953125] 145: [discriminator loss: 0.606431, acc: 0.625000] [adversarial loss: 2.482534, acc: 0.000000] 146: [discriminator loss: 0.627620, acc: 0.570312] [adversarial loss: 0.310954, acc: 1.000000] 147: [discriminator loss: 0.479101, acc: 0.718750] [adversarial loss: 1.146797, acc: 0.187500] 148: [discriminator loss: 0.374449, acc: 0.945312] [adversarial loss: 0.981501, acc: 0.218750] 149: [discriminator loss: 0.402841, acc: 0.859375] [adversarial loss: 1.316980, acc: 0.078125] 150: [discriminator loss: 0.357619, acc: 0.906250] [adversarial loss: 0.841773, acc: 0.375000] 151: [discriminator loss: 0.402560, acc: 0.875000] [adversarial loss: 1.477350, acc: 0.031250] 152: [discriminator loss: 0.368128, acc: 0.906250] [adversarial loss: 0.649128, acc: 0.593750] 153: [discriminator loss: 0.493393, acc: 0.734375] [adversarial loss: 2.814347, acc: 0.000000] 154: [discriminator loss: 0.669003, acc: 0.546875] [adversarial loss: 0.148698, acc: 1.000000] 155: [discriminator loss: 0.561049, acc: 0.648438] [adversarial loss: 0.924219, acc: 0.250000] 156: [discriminator loss: 0.368285, acc: 0.921875] [adversarial loss: 0.998044, acc: 0.140625] 157: [discriminator loss: 0.425484, acc: 0.875000] [adversarial loss: 1.445789, acc: 0.000000] 158: [discriminator loss: 0.399210, acc: 0.859375] [adversarial loss: 0.589244, acc: 0.718750] 159: [discriminator loss: 0.485168, acc: 0.757812] [adversarial loss: 2.830920, acc: 0.000000] 160: [discriminator loss: 0.594042, acc: 0.554688] [adversarial loss: 0.215108, acc: 0.984375] 161: [discriminator loss: 0.600366, acc: 0.578125] [adversarial loss: 1.426255, acc: 0.000000] 162: [discriminator loss: 0.399849, acc: 0.859375] [adversarial loss: 0.621744, acc: 0.687500] 163: [discriminator loss: 0.477620, acc: 0.750000] [adversarial loss: 1.766963, acc: 0.000000] 164: [discriminator loss: 0.427369, acc: 0.757812] [adversarial loss: 0.461717, acc: 0.890625] 165: [discriminator loss: 0.597907, acc: 0.585938] [adversarial loss: 2.585986, acc: 0.000000] 166: [discriminator loss: 0.635673, acc: 0.585938] [adversarial loss: 0.436142, acc: 0.859375] 167: [discriminator loss: 0.504956, acc: 0.664062] [adversarial loss: 1.336075, acc: 0.000000] 168: [discriminator loss: 0.462269, acc: 0.796875] [adversarial loss: 0.796142, acc: 0.453125] 169: [discriminator loss: 0.533696, acc: 0.710938] [adversarial loss: 1.700985, acc: 0.000000] 170: [discriminator loss: 0.442943, acc: 0.835938] [adversarial loss: 0.546906, acc: 0.718750] 171: [discriminator loss: 0.497453, acc: 0.703125] [adversarial loss: 2.105686, acc: 0.000000] 172: [discriminator loss: 0.558795, acc: 0.640625] [adversarial loss: 0.313398, acc: 1.000000] 173: [discriminator loss: 0.606531, acc: 0.632812] [adversarial loss: 1.856756, acc: 0.000000] 174: [discriminator loss: 0.533653, acc: 0.679688] [adversarial loss: 0.530273, acc: 0.765625] 175: [discriminator loss: 0.537663, acc: 0.664062] [adversarial loss: 1.833683, acc: 0.000000] 176: [discriminator loss: 0.518636, acc: 0.679688] [adversarial loss: 0.529690, acc: 0.781250] 177: [discriminator loss: 0.499377, acc: 0.703125] [adversarial loss: 1.443484, acc: 0.000000] 178: [discriminator loss: 0.490901, acc: 0.742188] [adversarial loss: 0.519435, acc: 0.765625] 179: [discriminator loss: 0.551075, acc: 0.648438] [adversarial loss: 1.780230, acc: 0.000000] 180: [discriminator loss: 0.515832, acc: 0.703125] [adversarial loss: 0.529076, acc: 0.781250] 181: [discriminator loss: 0.550141, acc: 0.671875] [adversarial loss: 1.762439, acc: 0.000000] 182: [discriminator loss: 0.511748, acc: 0.695312] [adversarial loss: 0.457662, acc: 0.875000] 183: [discriminator loss: 0.561080, acc: 0.671875] [adversarial loss: 1.686288, acc: 0.000000] 184: [discriminator loss: 0.536673, acc: 0.695312] [adversarial loss: 0.522819, acc: 0.781250] 185: [discriminator loss: 0.558305, acc: 0.648438] [adversarial loss: 1.480999, acc: 0.000000] 186: [discriminator loss: 0.508638, acc: 0.734375] [adversarial loss: 0.566600, acc: 0.765625] 187: [discriminator loss: 0.587503, acc: 0.625000] [adversarial loss: 1.824335, acc: 0.000000] 188: [discriminator loss: 0.585939, acc: 0.617188] [adversarial loss: 0.448288, acc: 0.937500] 189: [discriminator loss: 0.560632, acc: 0.671875] [adversarial loss: 1.309792, acc: 0.015625] 190: [discriminator loss: 0.520976, acc: 0.789062] [adversarial loss: 0.707376, acc: 0.500000] 191: [discriminator loss: 0.546372, acc: 0.710938] [adversarial loss: 1.424027, acc: 0.000000] 192: [discriminator loss: 0.503000, acc: 0.757812] [adversarial loss: 0.697972, acc: 0.578125] 193: [discriminator loss: 0.482758, acc: 0.804688] [adversarial loss: 1.326356, acc: 0.015625] 194: [discriminator loss: 0.447896, acc: 0.812500] [adversarial loss: 0.398915, acc: 0.968750] 195: [discriminator loss: 0.564725, acc: 0.664062] [adversarial loss: 1.618397, acc: 0.000000] 196: [discriminator loss: 0.492850, acc: 0.726562] [adversarial loss: 0.388251, acc: 0.953125] 197: [discriminator loss: 0.488650, acc: 0.765625] [adversarial loss: 1.183716, acc: 0.015625] 198: [discriminator loss: 0.452436, acc: 0.851562] [adversarial loss: 0.526471, acc: 0.812500] 199: [discriminator loss: 0.584877, acc: 0.632812] [adversarial loss: 1.831814, acc: 0.000000] 200: [discriminator loss: 0.562852, acc: 0.664062] [adversarial loss: 0.258760, acc: 0.984375] 201: [discriminator loss: 0.630813, acc: 0.554688] [adversarial loss: 1.300557, acc: 0.000000] 202: [discriminator loss: 0.543285, acc: 0.742188] [adversarial loss: 0.860880, acc: 0.281250] 203: [discriminator loss: 0.600095, acc: 0.679688] [adversarial loss: 1.781952, acc: 0.000000] 204: [discriminator loss: 0.520666, acc: 0.695312] [adversarial loss: 0.587874, acc: 0.687500] 205: [discriminator loss: 0.560165, acc: 0.671875] [adversarial loss: 1.960953, acc: 0.000000] 206: [discriminator loss: 0.555024, acc: 0.640625] [adversarial loss: 0.421963, acc: 0.937500] 207: [discriminator loss: 0.584551, acc: 0.656250] [adversarial loss: 1.605362, acc: 0.000000] 208: [discriminator loss: 0.541250, acc: 0.695312] [adversarial loss: 0.720959, acc: 0.500000] 209: [discriminator loss: 0.573637, acc: 0.656250] [adversarial loss: 1.626301, acc: 0.000000] 210: [discriminator loss: 0.560571, acc: 0.664062] [adversarial loss: 0.782839, acc: 0.375000] 211: [discriminator loss: 0.541359, acc: 0.726562] [adversarial loss: 1.437177, acc: 0.000000] 212: [discriminator loss: 0.491222, acc: 0.812500] [adversarial loss: 0.696375, acc: 0.515625] 213: [discriminator loss: 0.503583, acc: 0.742188] [adversarial loss: 1.605698, acc: 0.015625] 214: [discriminator loss: 0.522822, acc: 0.757812] [adversarial loss: 0.646548, acc: 0.625000] 215: [discriminator loss: 0.539818, acc: 0.656250] [adversarial loss: 1.957703, acc: 0.000000] 216: [discriminator loss: 0.594082, acc: 0.593750] [adversarial loss: 0.607490, acc: 0.687500] 217: [discriminator loss: 0.633622, acc: 0.648438] [adversarial loss: 1.589247, acc: 0.000000] 218: [discriminator loss: 0.574912, acc: 0.687500] [adversarial loss: 0.699343, acc: 0.515625] 219: [discriminator loss: 0.577645, acc: 0.601562] [adversarial loss: 1.595739, acc: 0.015625] 220: [discriminator loss: 0.572442, acc: 0.687500] [adversarial loss: 0.671626, acc: 0.562500] 221: [discriminator loss: 0.556317, acc: 0.671875] [adversarial loss: 1.482400, acc: 0.000000] 222: [discriminator loss: 0.511618, acc: 0.765625] [adversarial loss: 0.703069, acc: 0.500000] 223: [discriminator loss: 0.571217, acc: 0.695312] [adversarial loss: 1.641237, acc: 0.015625] 224: [discriminator loss: 0.580728, acc: 0.679688] [adversarial loss: 0.685424, acc: 0.578125] 225: [discriminator loss: 0.549351, acc: 0.664062] [adversarial loss: 1.568851, acc: 0.000000] 226: [discriminator loss: 0.583057, acc: 0.656250] [adversarial loss: 0.551167, acc: 0.796875] 227: [discriminator loss: 0.601827, acc: 0.593750] [adversarial loss: 1.483221, acc: 0.015625] 228: [discriminator loss: 0.617239, acc: 0.664062] [adversarial loss: 0.700424, acc: 0.515625] 229: [discriminator loss: 0.608773, acc: 0.640625] [adversarial loss: 1.379181, acc: 0.015625] 230: [discriminator loss: 0.567461, acc: 0.695312] [adversarial loss: 0.773528, acc: 0.453125] 231: [discriminator loss: 0.584282, acc: 0.695312] [adversarial loss: 1.474230, acc: 0.000000] 232: [discriminator loss: 0.615604, acc: 0.664062] [adversarial loss: 0.745226, acc: 0.390625] 233: [discriminator loss: 0.582431, acc: 0.679688] [adversarial loss: 1.543606, acc: 0.000000] 234: [discriminator loss: 0.634387, acc: 0.593750] [adversarial loss: 0.621163, acc: 0.734375] 235: [discriminator loss: 0.665890, acc: 0.554688] [adversarial loss: 1.585954, acc: 0.000000] 236: [discriminator loss: 0.639429, acc: 0.578125] [adversarial loss: 0.649524, acc: 0.640625] 237: [discriminator loss: 0.605017, acc: 0.617188] [adversarial loss: 1.485739, acc: 0.015625] 238: [discriminator loss: 0.609452, acc: 0.664062] [adversarial loss: 0.777421, acc: 0.375000] 239: [discriminator loss: 0.541182, acc: 0.718750] [adversarial loss: 1.238129, acc: 0.000000] 240: [discriminator loss: 0.548220, acc: 0.773438] [adversarial loss: 0.873205, acc: 0.250000] 241: [discriminator loss: 0.582580, acc: 0.718750] [adversarial loss: 1.374809, acc: 0.000000] 242: [discriminator loss: 0.615922, acc: 0.703125] [adversarial loss: 0.649548, acc: 0.593750] 243: [discriminator loss: 0.661702, acc: 0.578125] [adversarial loss: 1.436573, acc: 0.015625] 244: [discriminator loss: 0.644506, acc: 0.601562] [adversarial loss: 0.680169, acc: 0.546875] 245: [discriminator loss: 0.583087, acc: 0.664062] [adversarial loss: 1.360693, acc: 0.000000] 246: [discriminator loss: 0.563083, acc: 0.710938] [adversarial loss: 0.664983, acc: 0.578125] 247: [discriminator loss: 0.610730, acc: 0.648438] [adversarial loss: 1.490746, acc: 0.015625] 248: [discriminator loss: 0.619003, acc: 0.617188] [adversarial loss: 0.586985, acc: 0.718750] 249: [discriminator loss: 0.614342, acc: 0.570312] [adversarial loss: 1.446818, acc: 0.000000] 250: [discriminator loss: 0.613133, acc: 0.671875] [adversarial loss: 0.664566, acc: 0.640625] 251: [discriminator loss: 0.606163, acc: 0.648438] [adversarial loss: 1.331876, acc: 0.031250] 252: [discriminator loss: 0.597092, acc: 0.710938] [adversarial loss: 0.768234, acc: 0.359375] 253: [discriminator loss: 0.513317, acc: 0.796875] [adversarial loss: 1.186326, acc: 0.031250] 254: [discriminator loss: 0.557327, acc: 0.726562] [adversarial loss: 0.777267, acc: 0.437500] 255: [discriminator loss: 0.577501, acc: 0.617188] [adversarial loss: 1.576242, acc: 0.000000] 256: [discriminator loss: 0.665203, acc: 0.570312] [adversarial loss: 0.501986, acc: 0.828125] 257: [discriminator loss: 0.675560, acc: 0.546875] [adversarial loss: 1.530920, acc: 0.000000] 258: [discriminator loss: 0.677832, acc: 0.554688] [adversarial loss: 0.765804, acc: 0.359375] 259: [discriminator loss: 0.598230, acc: 0.617188] [adversarial loss: 1.178070, acc: 0.031250] 260: [discriminator loss: 0.578870, acc: 0.710938] [adversarial loss: 0.874374, acc: 0.250000] 261: [discriminator loss: 0.531304, acc: 0.796875] [adversarial loss: 0.995247, acc: 0.078125] 262: [discriminator loss: 0.572389, acc: 0.734375] [adversarial loss: 1.042720, acc: 0.140625] 263: [discriminator loss: 0.527764, acc: 0.789062] [adversarial loss: 1.039603, acc: 0.062500] 264: [discriminator loss: 0.565435, acc: 0.742188] [adversarial loss: 0.920094, acc: 0.187500] 265: [discriminator loss: 0.586424, acc: 0.710938] [adversarial loss: 0.955203, acc: 0.187500] 266: [discriminator loss: 0.610101, acc: 0.664062] [adversarial loss: 0.974269, acc: 0.109375] 267: [discriminator loss: 0.539199, acc: 0.796875] [adversarial loss: 0.828223, acc: 0.296875] 268: [discriminator loss: 0.535204, acc: 0.742188] [adversarial loss: 1.575963, acc: 0.000000] 269: [discriminator loss: 0.569483, acc: 0.695312] [adversarial loss: 0.338486, acc: 1.000000] 270: [discriminator loss: 0.811745, acc: 0.507812] [adversarial loss: 2.146143, acc: 0.000000] 271: [discriminator loss: 0.818118, acc: 0.539062] [adversarial loss: 0.789731, acc: 0.359375] 272: [discriminator loss: 0.584410, acc: 0.703125] [adversarial loss: 1.017028, acc: 0.125000] 273: [discriminator loss: 0.582298, acc: 0.718750] [adversarial loss: 0.859026, acc: 0.359375] 274: [discriminator loss: 0.539978, acc: 0.765625] [adversarial loss: 1.033065, acc: 0.140625] 275: [discriminator loss: 0.544662, acc: 0.781250] [adversarial loss: 0.872786, acc: 0.187500] 276: [discriminator loss: 0.568899, acc: 0.710938] [adversarial loss: 1.135645, acc: 0.031250] 277: [discriminator loss: 0.575437, acc: 0.742188] [adversarial loss: 0.717321, acc: 0.500000] 278: [discriminator loss: 0.574765, acc: 0.695312] [adversarial loss: 1.111957, acc: 0.062500] 279: [discriminator loss: 0.602055, acc: 0.687500] [adversarial loss: 0.577739, acc: 0.718750] 280: [discriminator loss: 0.601718, acc: 0.601562] [adversarial loss: 1.509823, acc: 0.000000] 281: [discriminator loss: 0.655819, acc: 0.593750] [adversarial loss: 0.626712, acc: 0.671875] 282: [discriminator loss: 0.652853, acc: 0.554688] [adversarial loss: 1.359373, acc: 0.000000] 283: [discriminator loss: 0.615181, acc: 0.640625] [adversarial loss: 0.684246, acc: 0.546875] 284: [discriminator loss: 0.569129, acc: 0.703125] [adversarial loss: 1.258140, acc: 0.000000] 285: [discriminator loss: 0.584925, acc: 0.679688] [adversarial loss: 0.748832, acc: 0.468750] 286: [discriminator loss: 0.579369, acc: 0.687500] [adversarial loss: 1.542727, acc: 0.000000] 287: [discriminator loss: 0.660070, acc: 0.578125] [adversarial loss: 0.613862, acc: 0.734375] 288: [discriminator loss: 0.650921, acc: 0.570312] [adversarial loss: 1.343754, acc: 0.000000] 289: [discriminator loss: 0.597547, acc: 0.625000] [adversarial loss: 0.657567, acc: 0.593750] 290: [discriminator loss: 0.598597, acc: 0.656250] [adversarial loss: 1.170773, acc: 0.046875] 291: [discriminator loss: 0.608388, acc: 0.648438] [adversarial loss: 0.722842, acc: 0.437500] 292: [discriminator loss: 0.594219, acc: 0.656250] [adversarial loss: 1.294178, acc: 0.000000] 293: [discriminator loss: 0.614568, acc: 0.625000] [adversarial loss: 0.703715, acc: 0.515625] 294: [discriminator loss: 0.597456, acc: 0.656250] [adversarial loss: 1.342285, acc: 0.000000] 295: [discriminator loss: 0.585966, acc: 0.687500] [adversarial loss: 0.732818, acc: 0.500000] 296: [discriminator loss: 0.539510, acc: 0.726562] [adversarial loss: 1.178782, acc: 0.062500] 297: [discriminator loss: 0.576124, acc: 0.664062] [adversarial loss: 0.728652, acc: 0.453125] 298: [discriminator loss: 0.593583, acc: 0.656250] [adversarial loss: 1.490904, acc: 0.000000] 299: [discriminator loss: 0.602931, acc: 0.648438] [adversarial loss: 0.576408, acc: 0.718750] 300: [discriminator loss: 0.643685, acc: 0.625000] [adversarial loss: 1.416091, acc: 0.015625] 301: [discriminator loss: 0.632542, acc: 0.625000] [adversarial loss: 0.624463, acc: 0.625000] 302: [discriminator loss: 0.615376, acc: 0.601562] [adversarial loss: 1.291331, acc: 0.000000] 303: [discriminator loss: 0.619026, acc: 0.554688] [adversarial loss: 0.617948, acc: 0.625000] 304: [discriminator loss: 0.639928, acc: 0.546875] [adversarial loss: 1.344301, acc: 0.015625] 305: [discriminator loss: 0.604117, acc: 0.625000] [adversarial loss: 0.661229, acc: 0.656250] 306: [discriminator loss: 0.596399, acc: 0.656250] [adversarial loss: 1.393785, acc: 0.000000] 307: [discriminator loss: 0.608817, acc: 0.625000] [adversarial loss: 0.678747, acc: 0.546875] 308: [discriminator loss: 0.576532, acc: 0.640625] [adversarial loss: 1.021837, acc: 0.078125] 309: [discriminator loss: 0.527949, acc: 0.773438] [adversarial loss: 0.659331, acc: 0.562500] 310: [discriminator loss: 0.562720, acc: 0.703125] [adversarial loss: 1.094881, acc: 0.031250] 311: [discriminator loss: 0.543912, acc: 0.796875] [adversarial loss: 0.748045, acc: 0.468750] 312: [discriminator loss: 0.578148, acc: 0.718750] [adversarial loss: 1.161457, acc: 0.015625] 313: [discriminator loss: 0.613091, acc: 0.617188] [adversarial loss: 0.655950, acc: 0.593750] 314: [discriminator loss: 0.588070, acc: 0.648438] [adversarial loss: 1.358568, acc: 0.000000] 315: [discriminator loss: 0.590952, acc: 0.617188] [adversarial loss: 0.522958, acc: 0.828125] 316: [discriminator loss: 0.657726, acc: 0.578125] [adversarial loss: 1.667215, acc: 0.000000] 317: [discriminator loss: 0.667246, acc: 0.546875] [adversarial loss: 0.587290, acc: 0.765625] 318: [discriminator loss: 0.577472, acc: 0.664062] [adversarial loss: 1.104926, acc: 0.125000] 319: [discriminator loss: 0.585728, acc: 0.656250] [adversarial loss: 0.682553, acc: 0.546875] 320: [discriminator loss: 0.584021, acc: 0.664062] [adversarial loss: 1.299050, acc: 0.000000] 321: [discriminator loss: 0.578532, acc: 0.726562] [adversarial loss: 0.692490, acc: 0.500000] 322: [discriminator loss: 0.562112, acc: 0.671875] [adversarial loss: 1.192984, acc: 0.000000] 323: [discriminator loss: 0.543524, acc: 0.718750] [adversarial loss: 0.621247, acc: 0.703125] 324: [discriminator loss: 0.578248, acc: 0.687500] [adversarial loss: 1.210173, acc: 0.000000] 325: [discriminator loss: 0.586846, acc: 0.648438] [adversarial loss: 0.542960, acc: 0.765625] 326: [discriminator loss: 0.593760, acc: 0.617188] [adversarial loss: 1.404832, acc: 0.000000] 327: [discriminator loss: 0.610123, acc: 0.593750] [adversarial loss: 0.537269, acc: 0.781250] 328: [discriminator loss: 0.616890, acc: 0.609375] [adversarial loss: 1.387240, acc: 0.000000] 329: [discriminator loss: 0.599423, acc: 0.632812] [adversarial loss: 0.626158, acc: 0.656250] 330: [discriminator loss: 0.627773, acc: 0.570312] [adversarial loss: 1.175693, acc: 0.031250] 331: [discriminator loss: 0.567599, acc: 0.710938] [adversarial loss: 0.719059, acc: 0.437500] 332: [discriminator loss: 0.559659, acc: 0.671875] [adversarial loss: 1.191236, acc: 0.046875] 333: [discriminator loss: 0.607517, acc: 0.640625] [adversarial loss: 0.650743, acc: 0.578125] 334: [discriminator loss: 0.675221, acc: 0.570312] [adversarial loss: 1.361331, acc: 0.015625] 335: [discriminator loss: 0.596976, acc: 0.687500] [adversarial loss: 0.651460, acc: 0.609375] 336: [discriminator loss: 0.570941, acc: 0.671875] [adversarial loss: 1.135856, acc: 0.031250] 337: [discriminator loss: 0.608055, acc: 0.664062] [adversarial loss: 0.655152, acc: 0.578125] 338: [discriminator loss: 0.555168, acc: 0.640625] [adversarial loss: 1.259775, acc: 0.000000] 339: [discriminator loss: 0.577090, acc: 0.679688] [adversarial loss: 0.598272, acc: 0.687500] 340: [discriminator loss: 0.571745, acc: 0.664062] [adversarial loss: 1.363086, acc: 0.000000] 341: [discriminator loss: 0.592560, acc: 0.664062] [adversarial loss: 0.585206, acc: 0.765625] 342: [discriminator loss: 0.618496, acc: 0.601562] [adversarial loss: 1.168293, acc: 0.015625] 343: [discriminator loss: 0.595636, acc: 0.679688] [adversarial loss: 0.779745, acc: 0.359375] 344: [discriminator loss: 0.547473, acc: 0.703125] [adversarial loss: 1.182271, acc: 0.015625] 345: [discriminator loss: 0.591564, acc: 0.710938] [adversarial loss: 0.623948, acc: 0.687500] 346: [discriminator loss: 0.620130, acc: 0.625000] [adversarial loss: 1.658918, acc: 0.000000] 347: [discriminator loss: 0.683877, acc: 0.570312] [adversarial loss: 0.519510, acc: 0.828125] 348: [discriminator loss: 0.569607, acc: 0.656250] [adversarial loss: 0.891796, acc: 0.187500] 349: [discriminator loss: 0.508746, acc: 0.820312] [adversarial loss: 0.693390, acc: 0.500000] 350: [discriminator loss: 0.537341, acc: 0.734375] [adversarial loss: 0.915557, acc: 0.250000] 351: [discriminator loss: 0.541389, acc: 0.765625] [adversarial loss: 0.780360, acc: 0.312500] 352: [discriminator loss: 0.555147, acc: 0.718750] [adversarial loss: 1.081836, acc: 0.046875] 353: [discriminator loss: 0.561318, acc: 0.718750] [adversarial loss: 0.696529, acc: 0.546875] 354: [discriminator loss: 0.584804, acc: 0.640625] [adversarial loss: 1.422730, acc: 0.000000] 355: [discriminator loss: 0.631457, acc: 0.593750] [adversarial loss: 0.444912, acc: 0.921875] 356: [discriminator loss: 0.682518, acc: 0.507812] [adversarial loss: 1.617189, acc: 0.000000] 357: [discriminator loss: 0.695210, acc: 0.578125] [adversarial loss: 0.672683, acc: 0.562500] 358: [discriminator loss: 0.572528, acc: 0.687500] [adversarial loss: 1.053521, acc: 0.046875] 359: [discriminator loss: 0.547272, acc: 0.734375] [adversarial loss: 0.824624, acc: 0.312500] 360: [discriminator loss: 0.568412, acc: 0.718750] [adversarial loss: 1.109489, acc: 0.093750] 361: [discriminator loss: 0.578473, acc: 0.703125] [adversarial loss: 0.740249, acc: 0.468750] 362: [discriminator loss: 0.563162, acc: 0.695312] [adversarial loss: 1.251156, acc: 0.062500] 363: [discriminator loss: 0.554390, acc: 0.726562] [adversarial loss: 0.687731, acc: 0.515625] 364: [discriminator loss: 0.537495, acc: 0.750000] [adversarial loss: 0.990628, acc: 0.156250] 365: [discriminator loss: 0.593073, acc: 0.679688] [adversarial loss: 0.570478, acc: 0.734375] 366: [discriminator loss: 0.624444, acc: 0.640625] [adversarial loss: 1.552738, acc: 0.000000] 367: [discriminator loss: 0.661562, acc: 0.578125] [adversarial loss: 0.526761, acc: 0.843750] 368: [discriminator loss: 0.650746, acc: 0.570312] [adversarial loss: 1.376453, acc: 0.015625] 369: [discriminator loss: 0.618142, acc: 0.640625] [adversarial loss: 0.685598, acc: 0.578125] 370: [discriminator loss: 0.547480, acc: 0.671875] [adversarial loss: 1.173597, acc: 0.031250] 371: [discriminator loss: 0.571345, acc: 0.750000] [adversarial loss: 0.592296, acc: 0.687500] 372: [discriminator loss: 0.593193, acc: 0.632812] [adversarial loss: 1.076048, acc: 0.031250] 373: [discriminator loss: 0.591283, acc: 0.695312] [adversarial loss: 0.662810, acc: 0.640625] 374: [discriminator loss: 0.632956, acc: 0.640625] [adversarial loss: 1.283200, acc: 0.015625] 375: [discriminator loss: 0.572776, acc: 0.695312] [adversarial loss: 0.816601, acc: 0.390625] 376: [discriminator loss: 0.572646, acc: 0.742188] [adversarial loss: 1.137323, acc: 0.078125] 377: [discriminator loss: 0.552815, acc: 0.773438] [adversarial loss: 0.769338, acc: 0.375000] 378: [discriminator loss: 0.528161, acc: 0.781250] [adversarial loss: 1.141150, acc: 0.078125] 379: [discriminator loss: 0.551300, acc: 0.765625] [adversarial loss: 0.753694, acc: 0.453125] 380: [discriminator loss: 0.595539, acc: 0.687500] [adversarial loss: 1.369805, acc: 0.000000] 381: [discriminator loss: 0.572082, acc: 0.710938] [adversarial loss: 0.472939, acc: 0.859375] 382: [discriminator loss: 0.599838, acc: 0.593750] [adversarial loss: 1.685582, acc: 0.000000] 383: [discriminator loss: 0.647721, acc: 0.585938] [adversarial loss: 0.475619, acc: 0.843750] 384: [discriminator loss: 0.678740, acc: 0.593750] [adversarial loss: 1.372103, acc: 0.015625] 385: [discriminator loss: 0.624895, acc: 0.578125] [adversarial loss: 0.602427, acc: 0.718750] 386: [discriminator loss: 0.625904, acc: 0.593750] [adversarial loss: 1.181257, acc: 0.031250] 387: [discriminator loss: 0.565093, acc: 0.710938] [adversarial loss: 0.788200, acc: 0.390625] 388: [discriminator loss: 0.601940, acc: 0.664062] [adversarial loss: 1.132713, acc: 0.046875] 389: [discriminator loss: 0.531106, acc: 0.804688] [adversarial loss: 0.964088, acc: 0.156250] 390: [discriminator loss: 0.523410, acc: 0.796875] [adversarial loss: 1.031653, acc: 0.125000] 391: [discriminator loss: 0.524699, acc: 0.757812] [adversarial loss: 0.838424, acc: 0.281250] 392: [discriminator loss: 0.531518, acc: 0.757812] [adversarial loss: 0.877999, acc: 0.296875] 393: [discriminator loss: 0.551531, acc: 0.742188] [adversarial loss: 1.004472, acc: 0.218750] 394: [discriminator loss: 0.590060, acc: 0.703125] [adversarial loss: 0.634357, acc: 0.625000] 395: [discriminator loss: 0.559286, acc: 0.671875] [adversarial loss: 1.782383, acc: 0.000000] 396: [discriminator loss: 0.690885, acc: 0.554688] [adversarial loss: 0.423304, acc: 0.953125] 397: [discriminator loss: 0.714207, acc: 0.531250] [adversarial loss: 1.882327, acc: 0.000000] 398: [discriminator loss: 0.691921, acc: 0.578125] [adversarial loss: 0.827906, acc: 0.296875] 399: [discriminator loss: 0.540129, acc: 0.781250] [adversarial loss: 0.867944, acc: 0.343750] 400: [discriminator loss: 0.539065, acc: 0.781250] [adversarial loss: 0.783266, acc: 0.281250] 401: [discriminator loss: 0.553854, acc: 0.789062] [adversarial loss: 1.078105, acc: 0.062500] 402: [discriminator loss: 0.542806, acc: 0.789062] [adversarial loss: 0.869530, acc: 0.234375] 403: [discriminator loss: 0.544772, acc: 0.773438] [adversarial loss: 1.123800, acc: 0.062500] 404: [discriminator loss: 0.562882, acc: 0.734375] [adversarial loss: 0.740636, acc: 0.390625] 405: [discriminator loss: 0.571878, acc: 0.695312] [adversarial loss: 1.239695, acc: 0.031250] 406: [discriminator loss: 0.519132, acc: 0.789062] [adversarial loss: 0.651548, acc: 0.656250] 407: [discriminator loss: 0.562289, acc: 0.679688] [adversarial loss: 1.380511, acc: 0.046875] 408: [discriminator loss: 0.544902, acc: 0.695312] [adversarial loss: 0.654419, acc: 0.625000] 409: [discriminator loss: 0.622012, acc: 0.601562] [adversarial loss: 1.917447, acc: 0.000000] 410: [discriminator loss: 0.715451, acc: 0.562500] [adversarial loss: 0.570431, acc: 0.781250] 411: [discriminator loss: 0.535210, acc: 0.726562] [adversarial loss: 1.160107, acc: 0.015625] 412: [discriminator loss: 0.504896, acc: 0.781250] [adversarial loss: 0.770140, acc: 0.406250] 413: [discriminator loss: 0.547441, acc: 0.781250] [adversarial loss: 0.908682, acc: 0.265625] 414: [discriminator loss: 0.514189, acc: 0.765625] [adversarial loss: 0.834486, acc: 0.203125] 415: [discriminator loss: 0.508600, acc: 0.804688] [adversarial loss: 1.332155, acc: 0.093750] 416: [discriminator loss: 0.537708, acc: 0.726562] [adversarial loss: 0.773565, acc: 0.421875] 417: [discriminator loss: 0.530986, acc: 0.750000] [adversarial loss: 1.333806, acc: 0.031250] 418: [discriminator loss: 0.579642, acc: 0.687500] [adversarial loss: 0.529059, acc: 0.843750] 419: [discriminator loss: 0.609488, acc: 0.609375] [adversarial loss: 1.819950, acc: 0.015625] 420: [discriminator loss: 0.720897, acc: 0.570312] [adversarial loss: 0.488475, acc: 0.890625] 421: [discriminator loss: 0.708718, acc: 0.507812] [adversarial loss: 1.431692, acc: 0.000000] 422: [discriminator loss: 0.583790, acc: 0.664062] [adversarial loss: 0.863766, acc: 0.203125] 423: [discriminator loss: 0.564780, acc: 0.734375] [adversarial loss: 1.211865, acc: 0.046875] 424: [discriminator loss: 0.525234, acc: 0.726562] [adversarial loss: 0.842311, acc: 0.312500] 425: [discriminator loss: 0.546320, acc: 0.742188] [adversarial loss: 1.052795, acc: 0.078125] 426: [discriminator loss: 0.518291, acc: 0.804688] [adversarial loss: 0.905846, acc: 0.296875] 427: [discriminator loss: 0.538241, acc: 0.750000] [adversarial loss: 0.852698, acc: 0.281250] 428: [discriminator loss: 0.535189, acc: 0.757812] [adversarial loss: 0.878308, acc: 0.234375] 429: [discriminator loss: 0.567029, acc: 0.742188] [adversarial loss: 0.882908, acc: 0.265625] 430: [discriminator loss: 0.524856, acc: 0.804688] [adversarial loss: 1.174978, acc: 0.093750] 431: [discriminator loss: 0.543411, acc: 0.757812] [adversarial loss: 0.859647, acc: 0.343750] 432: [discriminator loss: 0.589372, acc: 0.648438] [adversarial loss: 1.641082, acc: 0.000000] 433: [discriminator loss: 0.575165, acc: 0.625000] [adversarial loss: 0.416881, acc: 0.937500] 434: [discriminator loss: 0.672344, acc: 0.554688] [adversarial loss: 1.921747, acc: 0.000000] 435: [discriminator loss: 0.689057, acc: 0.601562] [adversarial loss: 0.582418, acc: 0.734375] 436: [discriminator loss: 0.579361, acc: 0.625000] [adversarial loss: 1.377661, acc: 0.000000] 437: [discriminator loss: 0.574100, acc: 0.640625] [adversarial loss: 0.711950, acc: 0.515625] 438: [discriminator loss: 0.549404, acc: 0.726562] [adversarial loss: 1.334131, acc: 0.000000] 439: [discriminator loss: 0.556602, acc: 0.687500] [adversarial loss: 0.843288, acc: 0.312500] 440: [discriminator loss: 0.519310, acc: 0.781250] [adversarial loss: 1.175817, acc: 0.000000] 441: [discriminator loss: 0.533143, acc: 0.773438] [adversarial loss: 0.684376, acc: 0.500000] 442: [discriminator loss: 0.562303, acc: 0.687500] [adversarial loss: 1.236175, acc: 0.031250] 443: [discriminator loss: 0.550180, acc: 0.703125] [adversarial loss: 0.660623, acc: 0.687500] 444: [discriminator loss: 0.601176, acc: 0.656250] [adversarial loss: 1.507122, acc: 0.000000] 445: [discriminator loss: 0.621034, acc: 0.648438] [adversarial loss: 0.589067, acc: 0.718750] 446: [discriminator loss: 0.575760, acc: 0.625000] [adversarial loss: 1.623821, acc: 0.000000] 447: [discriminator loss: 0.644211, acc: 0.609375] [adversarial loss: 0.630177, acc: 0.625000] 448: [discriminator loss: 0.599038, acc: 0.625000] [adversarial loss: 1.398424, acc: 0.015625] 449: [discriminator loss: 0.558911, acc: 0.679688] [adversarial loss: 0.577384, acc: 0.671875] 450: [discriminator loss: 0.561662, acc: 0.710938] [adversarial loss: 1.090781, acc: 0.015625] 451: [discriminator loss: 0.520354, acc: 0.789062] [adversarial loss: 0.879995, acc: 0.234375] 452: [discriminator loss: 0.520754, acc: 0.773438] [adversarial loss: 1.029325, acc: 0.078125] 453: [discriminator loss: 0.540517, acc: 0.726562] [adversarial loss: 0.770758, acc: 0.406250] 454: [discriminator loss: 0.543176, acc: 0.734375] [adversarial loss: 1.421878, acc: 0.000000] 455: [discriminator loss: 0.550899, acc: 0.703125] [adversarial loss: 0.635672, acc: 0.640625] 456: [discriminator loss: 0.564798, acc: 0.687500] [adversarial loss: 1.791160, acc: 0.000000] 457: [discriminator loss: 0.648570, acc: 0.632812] [adversarial loss: 0.570724, acc: 0.703125] 458: [discriminator loss: 0.592471, acc: 0.656250] [adversarial loss: 1.400881, acc: 0.015625] 459: [discriminator loss: 0.574250, acc: 0.656250] [adversarial loss: 0.724880, acc: 0.562500] 460: [discriminator loss: 0.573835, acc: 0.687500] [adversarial loss: 1.547079, acc: 0.015625] 461: [discriminator loss: 0.597773, acc: 0.664062] [adversarial loss: 0.687720, acc: 0.484375] 462: [discriminator loss: 0.554059, acc: 0.710938] [adversarial loss: 1.316507, acc: 0.046875] 463: [discriminator loss: 0.548182, acc: 0.687500] [adversarial loss: 0.640840, acc: 0.609375] 464: [discriminator loss: 0.563217, acc: 0.695312] [adversarial loss: 1.044629, acc: 0.156250] 465: [discriminator loss: 0.575640, acc: 0.765625] [adversarial loss: 0.929942, acc: 0.265625] 466: [discriminator loss: 0.520952, acc: 0.804688] [adversarial loss: 1.061437, acc: 0.109375] 467: [discriminator loss: 0.511656, acc: 0.796875] [adversarial loss: 0.903064, acc: 0.250000] 468: [discriminator loss: 0.491774, acc: 0.820312] [adversarial loss: 1.211609, acc: 0.078125] 469: [discriminator loss: 0.573461, acc: 0.664062] [adversarial loss: 0.614727, acc: 0.609375] 470: [discriminator loss: 0.544861, acc: 0.671875] [adversarial loss: 1.312269, acc: 0.031250] 471: [discriminator loss: 0.545696, acc: 0.726562] [adversarial loss: 0.578657, acc: 0.687500] 472: [discriminator loss: 0.573256, acc: 0.640625] [adversarial loss: 1.813981, acc: 0.000000] 473: [discriminator loss: 0.666916, acc: 0.585938] [adversarial loss: 0.458172, acc: 0.859375] 474: [discriminator loss: 0.704507, acc: 0.507812] [adversarial loss: 1.791153, acc: 0.000000] 475: [discriminator loss: 0.702259, acc: 0.593750] [adversarial loss: 0.729402, acc: 0.515625] 476: [discriminator loss: 0.553216, acc: 0.718750] [adversarial loss: 0.995542, acc: 0.156250] 477: [discriminator loss: 0.546069, acc: 0.789062] [adversarial loss: 0.921128, acc: 0.203125] 478: [discriminator loss: 0.542655, acc: 0.757812] [adversarial loss: 1.039721, acc: 0.140625] 479: [discriminator loss: 0.490441, acc: 0.820312] [adversarial loss: 0.928625, acc: 0.203125] 480: [discriminator loss: 0.541876, acc: 0.757812] [adversarial loss: 1.114103, acc: 0.078125] 481: [discriminator loss: 0.537752, acc: 0.750000] [adversarial loss: 0.989960, acc: 0.250000] 482: [discriminator loss: 0.525057, acc: 0.781250] [adversarial loss: 0.895018, acc: 0.328125] 483: [discriminator loss: 0.487824, acc: 0.757812] [adversarial loss: 1.234233, acc: 0.031250] 484: [discriminator loss: 0.516996, acc: 0.773438] [adversarial loss: 0.544916, acc: 0.734375] 485: [discriminator loss: 0.576043, acc: 0.632812] [adversarial loss: 2.026714, acc: 0.000000] 486: [discriminator loss: 0.649837, acc: 0.609375] [adversarial loss: 0.602404, acc: 0.656250] 487: [discriminator loss: 0.559567, acc: 0.679688] [adversarial loss: 1.396996, acc: 0.062500] 488: [discriminator loss: 0.573471, acc: 0.687500] [adversarial loss: 0.763921, acc: 0.406250] 489: [discriminator loss: 0.551852, acc: 0.703125] [adversarial loss: 1.473672, acc: 0.000000] 490: [discriminator loss: 0.574480, acc: 0.695312] [adversarial loss: 0.764363, acc: 0.468750] 491: [discriminator loss: 0.518262, acc: 0.695312] [adversarial loss: 1.416810, acc: 0.046875] 492: [discriminator loss: 0.533689, acc: 0.710938] [adversarial loss: 0.713637, acc: 0.500000] 493: [discriminator loss: 0.511019, acc: 0.757812] [adversarial loss: 1.366503, acc: 0.046875] 494: [discriminator loss: 0.529547, acc: 0.710938] [adversarial loss: 0.836114, acc: 0.375000] 495: [discriminator loss: 0.561108, acc: 0.664062] [adversarial loss: 1.144596, acc: 0.109375] 496: [discriminator loss: 0.511392, acc: 0.796875] [adversarial loss: 0.680748, acc: 0.578125] 497: [discriminator loss: 0.582420, acc: 0.687500] [adversarial loss: 1.387519, acc: 0.031250] 498: [discriminator loss: 0.581140, acc: 0.671875] [adversarial loss: 0.756370, acc: 0.515625] 499: [discriminator loss: 0.519464, acc: 0.757812] [adversarial loss: 1.460004, acc: 0.046875] 500: [discriminator loss: 0.570149, acc: 0.742188] [adversarial loss: 0.625361, acc: 0.609375] 501: [discriminator loss: 0.570188, acc: 0.718750] [adversarial loss: 1.457245, acc: 0.031250] 502: [discriminator loss: 0.547030, acc: 0.671875] [adversarial loss: 0.687615, acc: 0.562500] 503: [discriminator loss: 0.559551, acc: 0.664062] [adversarial loss: 1.568628, acc: 0.046875] 504: [discriminator loss: 0.563826, acc: 0.710938] [adversarial loss: 0.663545, acc: 0.609375] 505: [discriminator loss: 0.552599, acc: 0.734375] [adversarial loss: 1.803432, acc: 0.000000] 506: [discriminator loss: 0.537616, acc: 0.726562] [adversarial loss: 0.743420, acc: 0.515625] 507: [discriminator loss: 0.505994, acc: 0.765625] [adversarial loss: 1.062386, acc: 0.171875] 508: [discriminator loss: 0.475349, acc: 0.781250] [adversarial loss: 0.896574, acc: 0.250000] 509: [discriminator loss: 0.537155, acc: 0.757812] [adversarial loss: 0.843904, acc: 0.375000] 510: [discriminator loss: 0.506181, acc: 0.773438] [adversarial loss: 1.188455, acc: 0.062500] 511: [discriminator loss: 0.483609, acc: 0.765625] [adversarial loss: 0.985378, acc: 0.218750] 512: [discriminator loss: 0.496475, acc: 0.789062] [adversarial loss: 1.341400, acc: 0.062500] 513: [discriminator loss: 0.473286, acc: 0.828125] [adversarial loss: 0.673443, acc: 0.640625] 514: [discriminator loss: 0.593089, acc: 0.601562] [adversarial loss: 2.227706, acc: 0.000000] 515: [discriminator loss: 0.811105, acc: 0.578125] [adversarial loss: 0.499063, acc: 0.781250] 516: [discriminator loss: 0.595494, acc: 0.640625] [adversarial loss: 1.368285, acc: 0.046875] 517: [discriminator loss: 0.562101, acc: 0.679688] [adversarial loss: 0.795786, acc: 0.421875] 518: [discriminator loss: 0.553959, acc: 0.687500] [adversarial loss: 1.326756, acc: 0.046875] 519: [discriminator loss: 0.538181, acc: 0.726562] [adversarial loss: 0.898944, acc: 0.265625] 520: [discriminator loss: 0.532300, acc: 0.765625] [adversarial loss: 1.320080, acc: 0.062500] 521: [discriminator loss: 0.475347, acc: 0.796875] [adversarial loss: 0.789039, acc: 0.375000] 522: [discriminator loss: 0.508743, acc: 0.773438] [adversarial loss: 1.377307, acc: 0.046875] 523: [discriminator loss: 0.518574, acc: 0.742188] [adversarial loss: 0.742290, acc: 0.468750] 524: [discriminator loss: 0.541281, acc: 0.781250] [adversarial loss: 1.348942, acc: 0.046875] 525: [discriminator loss: 0.526996, acc: 0.773438] [adversarial loss: 0.682870, acc: 0.593750] 526: [discriminator loss: 0.523692, acc: 0.718750] [adversarial loss: 1.422426, acc: 0.031250] 527: [discriminator loss: 0.507010, acc: 0.710938] [adversarial loss: 0.700020, acc: 0.578125] 528: [discriminator loss: 0.551798, acc: 0.687500] [adversarial loss: 1.904138, acc: 0.000000] 529: [discriminator loss: 0.597179, acc: 0.671875] [adversarial loss: 0.656224, acc: 0.546875] 530: [discriminator loss: 0.551639, acc: 0.656250] [adversarial loss: 1.372171, acc: 0.078125] 531: [discriminator loss: 0.493777, acc: 0.726562] [adversarial loss: 0.754741, acc: 0.453125] 532: [discriminator loss: 0.483895, acc: 0.765625] [adversarial loss: 1.285345, acc: 0.093750] 533: [discriminator loss: 0.490578, acc: 0.734375] [adversarial loss: 0.807029, acc: 0.421875] 534: [discriminator loss: 0.540812, acc: 0.695312] [adversarial loss: 1.533026, acc: 0.046875] 535: [discriminator loss: 0.512121, acc: 0.726562] [adversarial loss: 0.789635, acc: 0.468750] 536: [discriminator loss: 0.484989, acc: 0.812500] [adversarial loss: 1.212644, acc: 0.140625] 537: [discriminator loss: 0.437366, acc: 0.859375] [adversarial loss: 0.798758, acc: 0.515625] 538: [discriminator loss: 0.487124, acc: 0.789062] [adversarial loss: 1.685732, acc: 0.046875] 539: [discriminator loss: 0.517527, acc: 0.726562] [adversarial loss: 0.766163, acc: 0.531250] 540: [discriminator loss: 0.523930, acc: 0.710938] [adversarial loss: 1.477161, acc: 0.015625] 541: [discriminator loss: 0.569796, acc: 0.617188] [adversarial loss: 0.552039, acc: 0.671875] 542: [discriminator loss: 0.615150, acc: 0.625000] [adversarial loss: 2.060744, acc: 0.015625] 543: [discriminator loss: 0.606865, acc: 0.640625] [adversarial loss: 0.791241, acc: 0.375000] 544: [discriminator loss: 0.524280, acc: 0.710938] [adversarial loss: 1.230008, acc: 0.062500] 545: [discriminator loss: 0.540095, acc: 0.710938] [adversarial loss: 0.805444, acc: 0.390625] 546: [discriminator loss: 0.508276, acc: 0.757812] [adversarial loss: 1.328685, acc: 0.125000] 547: [discriminator loss: 0.523762, acc: 0.726562] [adversarial loss: 0.966305, acc: 0.234375] 548: [discriminator loss: 0.497366, acc: 0.781250] [adversarial loss: 1.268527, acc: 0.046875] 549: [discriminator loss: 0.510849, acc: 0.750000] [adversarial loss: 0.939602, acc: 0.296875] 550: [discriminator loss: 0.537274, acc: 0.742188] [adversarial loss: 1.506095, acc: 0.078125] 551: [discriminator loss: 0.559823, acc: 0.734375] [adversarial loss: 0.687974, acc: 0.531250] 552: [discriminator loss: 0.537288, acc: 0.718750] [adversarial loss: 2.148023, acc: 0.015625] 553: [discriminator loss: 0.612823, acc: 0.609375] [adversarial loss: 0.585082, acc: 0.687500] 554: [discriminator loss: 0.572192, acc: 0.648438] [adversarial loss: 1.600588, acc: 0.000000] 555: [discriminator loss: 0.568475, acc: 0.671875] [adversarial loss: 0.739239, acc: 0.515625] 556: [discriminator loss: 0.533906, acc: 0.726562] [adversarial loss: 1.391422, acc: 0.062500] 557: [discriminator loss: 0.581758, acc: 0.703125] [adversarial loss: 0.804657, acc: 0.437500] 558: [discriminator loss: 0.542681, acc: 0.703125] [adversarial loss: 1.405127, acc: 0.046875] 559: [discriminator loss: 0.567023, acc: 0.664062] [adversarial loss: 0.697363, acc: 0.562500] 560: [discriminator loss: 0.545029, acc: 0.718750] [adversarial loss: 1.576457, acc: 0.015625] 561: [discriminator loss: 0.570533, acc: 0.671875] [adversarial loss: 0.797085, acc: 0.515625] 562: [discriminator loss: 0.506570, acc: 0.726562] [adversarial loss: 1.630509, acc: 0.046875] 563: [discriminator loss: 0.532304, acc: 0.695312] [adversarial loss: 0.795045, acc: 0.390625] 564: [discriminator loss: 0.491085, acc: 0.789062] [adversarial loss: 1.547466, acc: 0.000000] 565: [discriminator loss: 0.562548, acc: 0.695312] [adversarial loss: 0.868952, acc: 0.359375] 566: [discriminator loss: 0.517999, acc: 0.757812] [adversarial loss: 1.300603, acc: 0.078125] 567: [discriminator loss: 0.499619, acc: 0.757812] [adversarial loss: 0.867753, acc: 0.343750] 568: [discriminator loss: 0.562860, acc: 0.671875] [adversarial loss: 1.860068, acc: 0.015625] 569: [discriminator loss: 0.578533, acc: 0.679688] [adversarial loss: 0.683109, acc: 0.593750] 570: [discriminator loss: 0.546873, acc: 0.687500] [adversarial loss: 1.550844, acc: 0.046875] 571: [discriminator loss: 0.570172, acc: 0.687500] [adversarial loss: 0.839795, acc: 0.375000] 572: [discriminator loss: 0.533466, acc: 0.726562] [adversarial loss: 1.439293, acc: 0.000000] 573: [discriminator loss: 0.593581, acc: 0.695312] [adversarial loss: 0.700674, acc: 0.562500] 574: [discriminator loss: 0.579933, acc: 0.734375] [adversarial loss: 1.603324, acc: 0.031250] 575: [discriminator loss: 0.526644, acc: 0.734375] [adversarial loss: 0.890200, acc: 0.328125] 576: [discriminator loss: 0.529738, acc: 0.804688] [adversarial loss: 1.263677, acc: 0.062500] 577: [discriminator loss: 0.480692, acc: 0.789062] [adversarial loss: 0.942099, acc: 0.312500] 578: [discriminator loss: 0.494001, acc: 0.835938] [adversarial loss: 1.009731, acc: 0.203125] 579: [discriminator loss: 0.463298, acc: 0.789062] [adversarial loss: 1.512270, acc: 0.046875] 580: [discriminator loss: 0.515436, acc: 0.757812] [adversarial loss: 0.698931, acc: 0.578125] 581: [discriminator loss: 0.524533, acc: 0.679688] [adversarial loss: 1.541302, acc: 0.031250] 582: [discriminator loss: 0.501465, acc: 0.734375] [adversarial loss: 0.815312, acc: 0.437500] 583: [discriminator loss: 0.518055, acc: 0.710938] [adversarial loss: 1.833148, acc: 0.000000] 584: [discriminator loss: 0.576669, acc: 0.632812] [adversarial loss: 0.796938, acc: 0.421875] 585: [discriminator loss: 0.564368, acc: 0.664062] [adversarial loss: 1.962368, acc: 0.031250] 586: [discriminator loss: 0.708369, acc: 0.570312] [adversarial loss: 0.645280, acc: 0.578125] 587: [discriminator loss: 0.597558, acc: 0.640625] [adversarial loss: 1.436461, acc: 0.031250] 588: [discriminator loss: 0.507253, acc: 0.718750] [adversarial loss: 0.916101, acc: 0.234375] 589: [discriminator loss: 0.468439, acc: 0.796875] [adversarial loss: 1.187085, acc: 0.140625] 590: [discriminator loss: 0.512826, acc: 0.742188] [adversarial loss: 1.030664, acc: 0.203125] 591: [discriminator loss: 0.521136, acc: 0.773438] [adversarial loss: 1.194713, acc: 0.109375] 592: [discriminator loss: 0.469856, acc: 0.773438] [adversarial loss: 0.877784, acc: 0.359375] 593: [discriminator loss: 0.520525, acc: 0.757812] [adversarial loss: 1.779053, acc: 0.015625] 594: [discriminator loss: 0.637452, acc: 0.632812] [adversarial loss: 0.586394, acc: 0.671875] 595: [discriminator loss: 0.537555, acc: 0.664062] [adversarial loss: 1.422489, acc: 0.078125] 596: [discriminator loss: 0.531317, acc: 0.726562] [adversarial loss: 0.884971, acc: 0.375000] 597: [discriminator loss: 0.597278, acc: 0.695312] [adversarial loss: 1.549762, acc: 0.031250] 598: [discriminator loss: 0.548639, acc: 0.687500] [adversarial loss: 0.842281, acc: 0.375000] 599: [discriminator loss: 0.570467, acc: 0.625000] [adversarial loss: 1.511851, acc: 0.046875] 600: [discriminator loss: 0.547459, acc: 0.679688] [adversarial loss: 0.770596, acc: 0.484375] 601: [discriminator loss: 0.539266, acc: 0.695312] [adversarial loss: 1.411982, acc: 0.000000] 602: [discriminator loss: 0.524080, acc: 0.734375] [adversarial loss: 0.826418, acc: 0.406250] 603: [discriminator loss: 0.470996, acc: 0.796875] [adversarial loss: 1.250587, acc: 0.125000] 604: [discriminator loss: 0.458838, acc: 0.812500] [adversarial loss: 0.840365, acc: 0.421875] 605: [discriminator loss: 0.517753, acc: 0.750000] [adversarial loss: 1.333812, acc: 0.062500] 606: [discriminator loss: 0.540164, acc: 0.726562] [adversarial loss: 0.897345, acc: 0.312500] 607: [discriminator loss: 0.476333, acc: 0.757812] [adversarial loss: 1.645187, acc: 0.062500] 608: [discriminator loss: 0.498456, acc: 0.757812] [adversarial loss: 0.778992, acc: 0.437500] 609: [discriminator loss: 0.533551, acc: 0.750000] [adversarial loss: 1.769758, acc: 0.000000] 610: [discriminator loss: 0.559902, acc: 0.671875] [adversarial loss: 0.787168, acc: 0.453125] 611: [discriminator loss: 0.520362, acc: 0.679688] [adversarial loss: 1.638895, acc: 0.015625] 612: [discriminator loss: 0.541624, acc: 0.710938] [adversarial loss: 0.760110, acc: 0.515625] 613: [discriminator loss: 0.563580, acc: 0.664062] [adversarial loss: 1.568359, acc: 0.046875] 614: [discriminator loss: 0.507322, acc: 0.734375] [adversarial loss: 1.043281, acc: 0.171875] 615: [discriminator loss: 0.464688, acc: 0.835938] [adversarial loss: 1.241893, acc: 0.125000] 616: [discriminator loss: 0.491722, acc: 0.789062] [adversarial loss: 0.922898, acc: 0.312500] 617: [discriminator loss: 0.473063, acc: 0.812500] [adversarial loss: 1.793905, acc: 0.000000] 618: [discriminator loss: 0.486460, acc: 0.750000] [adversarial loss: 0.690892, acc: 0.546875] 619: [discriminator loss: 0.508835, acc: 0.757812] [adversarial loss: 1.455785, acc: 0.046875] 620: [discriminator loss: 0.534523, acc: 0.710938] [adversarial loss: 0.736795, acc: 0.453125] 621: [discriminator loss: 0.518321, acc: 0.687500] [adversarial loss: 1.642943, acc: 0.046875] 622: [discriminator loss: 0.516689, acc: 0.750000] [adversarial loss: 0.804292, acc: 0.421875] 623: [discriminator loss: 0.570958, acc: 0.726562] [adversarial loss: 1.621177, acc: 0.031250] 624: [discriminator loss: 0.593546, acc: 0.695312] [adversarial loss: 0.707043, acc: 0.531250] 625: [discriminator loss: 0.554931, acc: 0.726562] [adversarial loss: 1.485729, acc: 0.031250] 626: [discriminator loss: 0.555274, acc: 0.726562] [adversarial loss: 0.878365, acc: 0.343750] 627: [discriminator loss: 0.489123, acc: 0.765625] [adversarial loss: 1.306355, acc: 0.062500] 628: [discriminator loss: 0.514411, acc: 0.773438] [adversarial loss: 0.915723, acc: 0.328125] 629: [discriminator loss: 0.532675, acc: 0.734375] [adversarial loss: 1.280018, acc: 0.078125] 630: [discriminator loss: 0.497889, acc: 0.781250] [adversarial loss: 0.707459, acc: 0.562500] 631: [discriminator loss: 0.547190, acc: 0.664062] [adversarial loss: 1.885786, acc: 0.015625] 632: [discriminator loss: 0.670109, acc: 0.625000] [adversarial loss: 0.688150, acc: 0.562500] 633: [discriminator loss: 0.545318, acc: 0.695312] [adversarial loss: 1.560704, acc: 0.000000] 634: [discriminator loss: 0.532307, acc: 0.718750] [adversarial loss: 0.903601, acc: 0.328125] 635: [discriminator loss: 0.459304, acc: 0.804688] [adversarial loss: 1.406108, acc: 0.078125] 636: [discriminator loss: 0.461613, acc: 0.796875] [adversarial loss: 1.006552, acc: 0.218750] 637: [discriminator loss: 0.468088, acc: 0.812500] [adversarial loss: 1.561183, acc: 0.000000] 638: [discriminator loss: 0.436117, acc: 0.812500] [adversarial loss: 1.018335, acc: 0.328125] 639: [discriminator loss: 0.541644, acc: 0.710938] [adversarial loss: 1.235989, acc: 0.156250] 640: [discriminator loss: 0.474209, acc: 0.781250] [adversarial loss: 0.857340, acc: 0.375000] 641: [discriminator loss: 0.446874, acc: 0.796875] [adversarial loss: 1.907547, acc: 0.031250] 642: [discriminator loss: 0.588578, acc: 0.679688] [adversarial loss: 0.589502, acc: 0.718750] 643: [discriminator loss: 0.536269, acc: 0.679688] [adversarial loss: 1.535516, acc: 0.015625] 644: [discriminator loss: 0.529444, acc: 0.695312] [adversarial loss: 0.738876, acc: 0.515625] 645: [discriminator loss: 0.515848, acc: 0.710938] [adversarial loss: 1.555098, acc: 0.031250] 646: [discriminator loss: 0.540731, acc: 0.726562] [adversarial loss: 0.882405, acc: 0.359375] 647: [discriminator loss: 0.513202, acc: 0.750000] [adversarial loss: 1.767099, acc: 0.000000] 648: [discriminator loss: 0.566566, acc: 0.687500] [adversarial loss: 0.629142, acc: 0.609375] 649: [discriminator loss: 0.502936, acc: 0.750000] [adversarial loss: 1.475458, acc: 0.093750] 650: [discriminator loss: 0.570506, acc: 0.703125] [adversarial loss: 0.671930, acc: 0.625000] 651: [discriminator loss: 0.582404, acc: 0.656250] [adversarial loss: 1.605923, acc: 0.031250] 652: [discriminator loss: 0.626945, acc: 0.632812] [adversarial loss: 0.774498, acc: 0.468750] 653: [discriminator loss: 0.596197, acc: 0.625000] [adversarial loss: 1.618847, acc: 0.062500] 654: [discriminator loss: 0.457415, acc: 0.789062] [adversarial loss: 0.976874, acc: 0.312500] 655: [discriminator loss: 0.516672, acc: 0.765625] [adversarial loss: 1.232310, acc: 0.093750] 656: [discriminator loss: 0.469729, acc: 0.820312] [adversarial loss: 0.941521, acc: 0.281250] 657: [discriminator loss: 0.437619, acc: 0.812500] [adversarial loss: 1.294324, acc: 0.125000] 658: [discriminator loss: 0.522828, acc: 0.734375] [adversarial loss: 0.714249, acc: 0.609375] 659: [discriminator loss: 0.507668, acc: 0.742188] [adversarial loss: 1.693875, acc: 0.000000] 660: [discriminator loss: 0.618282, acc: 0.640625] [adversarial loss: 0.746879, acc: 0.437500] 661: [discriminator loss: 0.544564, acc: 0.671875] [adversarial loss: 1.812208, acc: 0.031250] 662: [discriminator loss: 0.554773, acc: 0.687500] [adversarial loss: 0.703264, acc: 0.562500] 663: [discriminator loss: 0.566252, acc: 0.664062] [adversarial loss: 1.534846, acc: 0.031250] 664: [discriminator loss: 0.488731, acc: 0.765625] [adversarial loss: 0.933599, acc: 0.234375] 665: [discriminator loss: 0.492830, acc: 0.789062] [adversarial loss: 1.600370, acc: 0.046875] 666: [discriminator loss: 0.506552, acc: 0.742188] [adversarial loss: 0.818451, acc: 0.390625] 667: [discriminator loss: 0.458992, acc: 0.804688] [adversarial loss: 1.476952, acc: 0.093750] 668: [discriminator loss: 0.551371, acc: 0.710938] [adversarial loss: 0.696083, acc: 0.546875] 669: [discriminator loss: 0.543027, acc: 0.703125] [adversarial loss: 1.535643, acc: 0.062500] 670: [discriminator loss: 0.503860, acc: 0.718750] [adversarial loss: 0.779204, acc: 0.437500] 671: [discriminator loss: 0.569181, acc: 0.710938] [adversarial loss: 1.544569, acc: 0.078125] 672: [discriminator loss: 0.518057, acc: 0.781250] [adversarial loss: 0.966565, acc: 0.281250] 673: [discriminator loss: 0.459835, acc: 0.843750] [adversarial loss: 1.219246, acc: 0.187500] 674: [discriminator loss: 0.511959, acc: 0.750000] [adversarial loss: 0.917074, acc: 0.312500] 675: [discriminator loss: 0.492278, acc: 0.789062] [adversarial loss: 1.263696, acc: 0.093750] 676: [discriminator loss: 0.509481, acc: 0.757812] [adversarial loss: 1.374199, acc: 0.031250] 677: [discriminator loss: 0.511667, acc: 0.726562] [adversarial loss: 1.035478, acc: 0.234375] 678: [discriminator loss: 0.495232, acc: 0.796875] [adversarial loss: 1.417686, acc: 0.093750] 679: [discriminator loss: 0.485530, acc: 0.773438] [adversarial loss: 0.862166, acc: 0.390625] 680: [discriminator loss: 0.498970, acc: 0.750000] [adversarial loss: 1.821999, acc: 0.031250] 681: [discriminator loss: 0.575012, acc: 0.718750] [adversarial loss: 0.525029, acc: 0.781250] 682: [discriminator loss: 0.649821, acc: 0.625000] [adversarial loss: 1.781746, acc: 0.015625] 683: [discriminator loss: 0.630843, acc: 0.640625] [adversarial loss: 0.808665, acc: 0.359375] 684: [discriminator loss: 0.534822, acc: 0.695312] [adversarial loss: 1.432633, acc: 0.109375] 685: [discriminator loss: 0.516727, acc: 0.718750] [adversarial loss: 0.956648, acc: 0.359375] 686: [discriminator loss: 0.533894, acc: 0.765625] [adversarial loss: 1.600378, acc: 0.015625] 687: [discriminator loss: 0.486337, acc: 0.773438] [adversarial loss: 0.951155, acc: 0.328125] 688: [discriminator loss: 0.539465, acc: 0.703125] [adversarial loss: 1.451883, acc: 0.109375] 689: [discriminator loss: 0.497680, acc: 0.781250] [adversarial loss: 1.103911, acc: 0.156250] 690: [discriminator loss: 0.523188, acc: 0.703125] [adversarial loss: 1.388846, acc: 0.093750] 691: [discriminator loss: 0.543384, acc: 0.726562] [adversarial loss: 0.581536, acc: 0.656250] 692: [discriminator loss: 0.604489, acc: 0.664062] [adversarial loss: 1.652962, acc: 0.031250] 693: [discriminator loss: 0.635919, acc: 0.640625] [adversarial loss: 0.654684, acc: 0.531250] 694: [discriminator loss: 0.591324, acc: 0.687500] [adversarial loss: 1.491114, acc: 0.062500] 695: [discriminator loss: 0.550207, acc: 0.695312] [adversarial loss: 0.781456, acc: 0.500000] 696: [discriminator loss: 0.485277, acc: 0.789062] [adversarial loss: 1.323249, acc: 0.078125] 697: [discriminator loss: 0.433442, acc: 0.851562] [adversarial loss: 0.970988, acc: 0.218750] 698: [discriminator loss: 0.477122, acc: 0.789062] [adversarial loss: 0.997335, acc: 0.250000] 699: [discriminator loss: 0.503335, acc: 0.781250] [adversarial loss: 1.110544, acc: 0.187500] 700: [discriminator loss: 0.479855, acc: 0.796875] [adversarial loss: 1.013264, acc: 0.234375] 701: [discriminator loss: 0.513114, acc: 0.726562] [adversarial loss: 1.190660, acc: 0.156250] 702: [discriminator loss: 0.444378, acc: 0.835938] [adversarial loss: 0.937696, acc: 0.250000] 703: [discriminator loss: 0.496113, acc: 0.812500] [adversarial loss: 1.227593, acc: 0.187500] 704: [discriminator loss: 0.460159, acc: 0.796875] [adversarial loss: 0.842692, acc: 0.312500] 705: [discriminator loss: 0.462842, acc: 0.773438] [adversarial loss: 1.645336, acc: 0.015625] 706: [discriminator loss: 0.591049, acc: 0.648438] [adversarial loss: 0.643538, acc: 0.656250] 707: [discriminator loss: 0.725680, acc: 0.562500] [adversarial loss: 2.178204, acc: 0.031250] 708: [discriminator loss: 0.725476, acc: 0.593750] [adversarial loss: 0.630670, acc: 0.656250] 709: [discriminator loss: 0.541182, acc: 0.671875] [adversarial loss: 1.637524, acc: 0.078125] 710: [discriminator loss: 0.624087, acc: 0.648438] [adversarial loss: 0.740245, acc: 0.468750] 711: [discriminator loss: 0.566194, acc: 0.750000] [adversarial loss: 1.324904, acc: 0.171875] 712: [discriminator loss: 0.533594, acc: 0.742188] [adversarial loss: 0.855214, acc: 0.375000] 713: [discriminator loss: 0.492031, acc: 0.750000] [adversarial loss: 1.178853, acc: 0.171875] 714: [discriminator loss: 0.538570, acc: 0.718750] [adversarial loss: 0.986575, acc: 0.265625] 715: [discriminator loss: 0.520994, acc: 0.742188] [adversarial loss: 1.362644, acc: 0.093750] 716: [discriminator loss: 0.489154, acc: 0.750000] [adversarial loss: 0.617768, acc: 0.578125] 717: [discriminator loss: 0.549263, acc: 0.703125] [adversarial loss: 1.621265, acc: 0.000000] 718: [discriminator loss: 0.619734, acc: 0.679688] [adversarial loss: 0.795021, acc: 0.406250] 719: [discriminator loss: 0.536674, acc: 0.718750] [adversarial loss: 1.546584, acc: 0.031250] 720: [discriminator loss: 0.472621, acc: 0.796875] [adversarial loss: 0.938430, acc: 0.390625] 721: [discriminator loss: 0.482192, acc: 0.812500] [adversarial loss: 1.475884, acc: 0.031250] 722: [discriminator loss: 0.532275, acc: 0.726562] [adversarial loss: 0.877697, acc: 0.375000] 723: [discriminator loss: 0.500865, acc: 0.703125] [adversarial loss: 1.308948, acc: 0.109375] 724: [discriminator loss: 0.514238, acc: 0.750000] [adversarial loss: 0.827039, acc: 0.359375] 725: [discriminator loss: 0.580761, acc: 0.687500] [adversarial loss: 1.815075, acc: 0.015625] 726: [discriminator loss: 0.560849, acc: 0.687500] [adversarial loss: 0.628442, acc: 0.609375] 727: [discriminator loss: 0.556786, acc: 0.687500] [adversarial loss: 1.496221, acc: 0.093750] 728: [discriminator loss: 0.612477, acc: 0.687500] [adversarial loss: 0.690558, acc: 0.453125] 729: [discriminator loss: 0.629209, acc: 0.617188] [adversarial loss: 1.453936, acc: 0.125000] 730: [discriminator loss: 0.574539, acc: 0.656250] [adversarial loss: 0.966972, acc: 0.265625] 731: [discriminator loss: 0.526659, acc: 0.750000] [adversarial loss: 1.326222, acc: 0.078125] 732: [discriminator loss: 0.503528, acc: 0.750000] [adversarial loss: 0.988288, acc: 0.281250] 733: [discriminator loss: 0.535228, acc: 0.710938] [adversarial loss: 1.262384, acc: 0.078125] 734: [discriminator loss: 0.501843, acc: 0.750000] [adversarial loss: 0.797543, acc: 0.468750] 735: [discriminator loss: 0.533008, acc: 0.750000] [adversarial loss: 1.577135, acc: 0.093750] 736: [discriminator loss: 0.589701, acc: 0.687500] [adversarial loss: 0.821016, acc: 0.500000] 737: [discriminator loss: 0.608045, acc: 0.648438] [adversarial loss: 1.773002, acc: 0.031250] 738: [discriminator loss: 0.609290, acc: 0.671875] [adversarial loss: 0.695258, acc: 0.562500] 739: [discriminator loss: 0.557027, acc: 0.718750] [adversarial loss: 1.556560, acc: 0.031250] 740: [discriminator loss: 0.544825, acc: 0.718750] [adversarial loss: 0.828217, acc: 0.406250] 741: [discriminator loss: 0.540382, acc: 0.710938] [adversarial loss: 1.266338, acc: 0.109375] 742: [discriminator loss: 0.498580, acc: 0.765625] [adversarial loss: 0.998906, acc: 0.281250] 743: [discriminator loss: 0.515046, acc: 0.781250] [adversarial loss: 1.297090, acc: 0.093750] 744: [discriminator loss: 0.555351, acc: 0.671875] [adversarial loss: 0.744218, acc: 0.515625] 745: [discriminator loss: 0.521735, acc: 0.734375] [adversarial loss: 1.741942, acc: 0.046875] 746: [discriminator loss: 0.586250, acc: 0.679688] [adversarial loss: 0.719309, acc: 0.562500] 747: [discriminator loss: 0.521951, acc: 0.750000] [adversarial loss: 1.479664, acc: 0.140625] 748: [discriminator loss: 0.533374, acc: 0.710938] [adversarial loss: 0.703402, acc: 0.531250] 749: [discriminator loss: 0.597225, acc: 0.687500] [adversarial loss: 1.673413, acc: 0.062500] 750: [discriminator loss: 0.532670, acc: 0.703125] [adversarial loss: 0.838620, acc: 0.328125] 751: [discriminator loss: 0.489531, acc: 0.765625] [adversarial loss: 1.496741, acc: 0.015625] 752: [discriminator loss: 0.527358, acc: 0.742188] [adversarial loss: 0.752516, acc: 0.515625] 753: [discriminator loss: 0.553354, acc: 0.679688] [adversarial loss: 1.267785, acc: 0.078125] 754: [discriminator loss: 0.569461, acc: 0.710938] [adversarial loss: 0.819354, acc: 0.343750] 755: [discriminator loss: 0.507250, acc: 0.742188] [adversarial loss: 1.429141, acc: 0.078125] 756: [discriminator loss: 0.518205, acc: 0.734375] [adversarial loss: 0.865932, acc: 0.312500] 757: [discriminator loss: 0.520901, acc: 0.773438] [adversarial loss: 1.586680, acc: 0.031250] 758: [discriminator loss: 0.535528, acc: 0.773438] [adversarial loss: 1.048254, acc: 0.281250] 759: [discriminator loss: 0.482058, acc: 0.765625] [adversarial loss: 1.480384, acc: 0.093750] 760: [discriminator loss: 0.549575, acc: 0.703125] [adversarial loss: 0.572269, acc: 0.734375] 761: [discriminator loss: 0.534687, acc: 0.710938] [adversarial loss: 1.655519, acc: 0.015625] 762: [discriminator loss: 0.584465, acc: 0.695312] [adversarial loss: 0.712066, acc: 0.484375] 763: [discriminator loss: 0.590044, acc: 0.609375] [adversarial loss: 1.810904, acc: 0.062500] 764: [discriminator loss: 0.616133, acc: 0.679688] [adversarial loss: 0.834823, acc: 0.390625] 765: [discriminator loss: 0.542438, acc: 0.695312] [adversarial loss: 1.575406, acc: 0.031250] 766: [discriminator loss: 0.560762, acc: 0.703125] [adversarial loss: 0.844135, acc: 0.421875] 767: [discriminator loss: 0.612300, acc: 0.664062] [adversarial loss: 1.345173, acc: 0.093750] 768: [discriminator loss: 0.553604, acc: 0.726562] [adversarial loss: 0.734231, acc: 0.515625] 769: [discriminator loss: 0.550331, acc: 0.718750] [adversarial loss: 1.325438, acc: 0.125000] 770: [discriminator loss: 0.495184, acc: 0.781250] [adversarial loss: 0.968448, acc: 0.312500] 771: [discriminator loss: 0.539395, acc: 0.750000] [adversarial loss: 1.292703, acc: 0.093750] 772: [discriminator loss: 0.536600, acc: 0.734375] [adversarial loss: 0.782684, acc: 0.484375] 773: [discriminator loss: 0.507372, acc: 0.765625] [adversarial loss: 1.263525, acc: 0.062500] 774: [discriminator loss: 0.575914, acc: 0.695312] [adversarial loss: 0.962738, acc: 0.312500] 775: [discriminator loss: 0.486281, acc: 0.773438] [adversarial loss: 1.185808, acc: 0.187500] 776: [discriminator loss: 0.500707, acc: 0.742188] [adversarial loss: 0.924822, acc: 0.312500] 777: [discriminator loss: 0.515158, acc: 0.750000] [adversarial loss: 1.345798, acc: 0.125000] 778: [discriminator loss: 0.478820, acc: 0.765625] [adversarial loss: 0.836799, acc: 0.406250] 779: [discriminator loss: 0.573671, acc: 0.710938] [adversarial loss: 1.693360, acc: 0.046875] 780: [discriminator loss: 0.679851, acc: 0.656250] [adversarial loss: 0.521802, acc: 0.687500] 781: [discriminator loss: 0.734230, acc: 0.554688] [adversarial loss: 1.877220, acc: 0.062500] 782: [discriminator loss: 0.677477, acc: 0.601562] [adversarial loss: 0.792941, acc: 0.484375] 783: [discriminator loss: 0.553428, acc: 0.664062] [adversarial loss: 1.597290, acc: 0.062500] 784: [discriminator loss: 0.579025, acc: 0.695312] [adversarial loss: 0.906101, acc: 0.312500] 785: [discriminator loss: 0.525911, acc: 0.726562] [adversarial loss: 1.035761, acc: 0.156250] 786: [discriminator loss: 0.548592, acc: 0.765625] [adversarial loss: 0.826672, acc: 0.328125] 787: [discriminator loss: 0.515865, acc: 0.718750] [adversarial loss: 1.328003, acc: 0.093750] 788: [discriminator loss: 0.512402, acc: 0.750000] [adversarial loss: 0.771177, acc: 0.500000] 789: [discriminator loss: 0.543169, acc: 0.726562] [adversarial loss: 1.551978, acc: 0.046875] 790: [discriminator loss: 0.517616, acc: 0.757812] [adversarial loss: 0.789075, acc: 0.437500] 791: [discriminator loss: 0.562356, acc: 0.710938] [adversarial loss: 1.444274, acc: 0.031250] 792: [discriminator loss: 0.516332, acc: 0.718750] [adversarial loss: 0.926750, acc: 0.375000] 793: [discriminator loss: 0.530423, acc: 0.765625] [adversarial loss: 1.201087, acc: 0.125000] 794: [discriminator loss: 0.542894, acc: 0.710938] [adversarial loss: 0.984007, acc: 0.296875] 795: [discriminator loss: 0.472824, acc: 0.796875] [adversarial loss: 1.172752, acc: 0.125000] 796: [discriminator loss: 0.540057, acc: 0.750000] [adversarial loss: 0.891804, acc: 0.375000] 797: [discriminator loss: 0.599964, acc: 0.664062] [adversarial loss: 1.524426, acc: 0.125000] 798: [discriminator loss: 0.580903, acc: 0.687500] [adversarial loss: 0.892831, acc: 0.312500] 799: [discriminator loss: 0.525112, acc: 0.742188] [adversarial loss: 1.704124, acc: 0.062500] 800: [discriminator loss: 0.614204, acc: 0.664062] [adversarial loss: 0.560728, acc: 0.718750] 801: [discriminator loss: 0.561808, acc: 0.648438] [adversarial loss: 1.549377, acc: 0.046875] 802: [discriminator loss: 0.503650, acc: 0.765625] [adversarial loss: 0.741951, acc: 0.484375] 803: [discriminator loss: 0.566881, acc: 0.687500] [adversarial loss: 1.606965, acc: 0.046875] 804: [discriminator loss: 0.515443, acc: 0.757812] [adversarial loss: 0.792003, acc: 0.531250] 805: [discriminator loss: 0.502504, acc: 0.710938] [adversarial loss: 1.261423, acc: 0.125000] 806: [discriminator loss: 0.443209, acc: 0.804688] [adversarial loss: 0.852659, acc: 0.375000] 807: [discriminator loss: 0.504644, acc: 0.765625] [adversarial loss: 1.092464, acc: 0.234375] 808: [discriminator loss: 0.509385, acc: 0.710938] [adversarial loss: 1.255849, acc: 0.218750] 809: [discriminator loss: 0.499745, acc: 0.750000] [adversarial loss: 1.144482, acc: 0.218750] 810: [discriminator loss: 0.524324, acc: 0.695312] [adversarial loss: 1.593377, acc: 0.031250] 811: [discriminator loss: 0.548141, acc: 0.742188] [adversarial loss: 0.707762, acc: 0.546875] 812: [discriminator loss: 0.597147, acc: 0.671875] [adversarial loss: 1.782164, acc: 0.031250] 813: [discriminator loss: 0.617990, acc: 0.679688] [adversarial loss: 0.751539, acc: 0.546875] 814: [discriminator loss: 0.609849, acc: 0.617188] [adversarial loss: 1.644037, acc: 0.093750] 815: [discriminator loss: 0.593450, acc: 0.687500] [adversarial loss: 0.853484, acc: 0.421875] 816: [discriminator loss: 0.516653, acc: 0.757812] [adversarial loss: 1.536197, acc: 0.046875] 817: [discriminator loss: 0.566687, acc: 0.679688] [adversarial loss: 0.739186, acc: 0.453125] 818: [discriminator loss: 0.634255, acc: 0.625000] [adversarial loss: 1.422025, acc: 0.046875] 819: [discriminator loss: 0.568272, acc: 0.710938] [adversarial loss: 0.974463, acc: 0.343750] 820: [discriminator loss: 0.505774, acc: 0.750000] [adversarial loss: 1.661206, acc: 0.062500] 821: [discriminator loss: 0.590726, acc: 0.695312] [adversarial loss: 0.795377, acc: 0.437500] 822: [discriminator loss: 0.566894, acc: 0.703125] [adversarial loss: 1.390599, acc: 0.062500] 823: [discriminator loss: 0.464668, acc: 0.750000] [adversarial loss: 0.949506, acc: 0.312500] 824: [discriminator loss: 0.528328, acc: 0.679688] [adversarial loss: 1.224976, acc: 0.187500] 825: [discriminator loss: 0.526187, acc: 0.734375] [adversarial loss: 0.908296, acc: 0.359375] 826: [discriminator loss: 0.570025, acc: 0.664062] [adversarial loss: 1.565865, acc: 0.093750] 827: [discriminator loss: 0.497185, acc: 0.742188] [adversarial loss: 0.901760, acc: 0.390625] 828: [discriminator loss: 0.489856, acc: 0.773438] [adversarial loss: 1.200837, acc: 0.125000] 829: [discriminator loss: 0.557918, acc: 0.695312] [adversarial loss: 0.764405, acc: 0.421875] 830: [discriminator loss: 0.590785, acc: 0.671875] [adversarial loss: 1.816616, acc: 0.015625] 831: [discriminator loss: 0.596966, acc: 0.640625] [adversarial loss: 0.741650, acc: 0.484375] 832: [discriminator loss: 0.488951, acc: 0.718750] [adversarial loss: 1.447485, acc: 0.109375] 833: [discriminator loss: 0.623223, acc: 0.640625] [adversarial loss: 0.709120, acc: 0.656250] 834: [discriminator loss: 0.625203, acc: 0.656250] [adversarial loss: 1.478840, acc: 0.078125] 835: [discriminator loss: 0.538468, acc: 0.718750] [adversarial loss: 0.882743, acc: 0.453125] 836: [discriminator loss: 0.532919, acc: 0.781250] [adversarial loss: 1.214972, acc: 0.171875] 837: [discriminator loss: 0.466595, acc: 0.835938] [adversarial loss: 1.121244, acc: 0.343750] 838: [discriminator loss: 0.485148, acc: 0.773438] [adversarial loss: 1.056976, acc: 0.281250] 839: [discriminator loss: 0.534453, acc: 0.734375] [adversarial loss: 1.413282, acc: 0.156250] 840: [discriminator loss: 0.521799, acc: 0.742188] [adversarial loss: 0.901380, acc: 0.328125] 841: [discriminator loss: 0.538686, acc: 0.718750] [adversarial loss: 1.148636, acc: 0.187500] 842: [discriminator loss: 0.490822, acc: 0.773438] [adversarial loss: 1.049101, acc: 0.265625] 843: [discriminator loss: 0.516857, acc: 0.742188] [adversarial loss: 1.317840, acc: 0.140625] 844: [discriminator loss: 0.493974, acc: 0.765625] [adversarial loss: 0.714069, acc: 0.515625] 845: [discriminator loss: 0.584829, acc: 0.687500] [adversarial loss: 1.712230, acc: 0.125000] 846: [discriminator loss: 0.646487, acc: 0.648438] [adversarial loss: 0.686909, acc: 0.656250] 847: [discriminator loss: 0.600893, acc: 0.648438] [adversarial loss: 1.757142, acc: 0.015625] 848: [discriminator loss: 0.528350, acc: 0.718750] [adversarial loss: 0.807534, acc: 0.406250] 849: [discriminator loss: 0.505469, acc: 0.765625] [adversarial loss: 1.317724, acc: 0.093750] 850: [discriminator loss: 0.504272, acc: 0.742188] [adversarial loss: 1.050060, acc: 0.250000] 851: [discriminator loss: 0.484302, acc: 0.796875] [adversarial loss: 0.920428, acc: 0.312500] 852: [discriminator loss: 0.507992, acc: 0.773438] [adversarial loss: 1.278981, acc: 0.109375] 853: [discriminator loss: 0.522570, acc: 0.750000] [adversarial loss: 0.860807, acc: 0.437500] 854: [discriminator loss: 0.556338, acc: 0.710938] [adversarial loss: 1.673629, acc: 0.062500] 855: [discriminator loss: 0.579556, acc: 0.718750] [adversarial loss: 0.652845, acc: 0.578125] 856: [discriminator loss: 0.621376, acc: 0.617188] [adversarial loss: 1.798996, acc: 0.046875] 857: [discriminator loss: 0.589096, acc: 0.664062] [adversarial loss: 0.653591, acc: 0.593750] 858: [discriminator loss: 0.559118, acc: 0.718750] [adversarial loss: 1.783339, acc: 0.015625] 859: [discriminator loss: 0.615841, acc: 0.625000] [adversarial loss: 0.831435, acc: 0.421875] 860: [discriminator loss: 0.489014, acc: 0.773438] [adversarial loss: 1.433156, acc: 0.046875] 861: [discriminator loss: 0.582961, acc: 0.648438] [adversarial loss: 0.726635, acc: 0.484375] 862: [discriminator loss: 0.565529, acc: 0.695312] [adversarial loss: 1.355982, acc: 0.140625] 863: [discriminator loss: 0.541733, acc: 0.726562] [adversarial loss: 0.931274, acc: 0.328125] 864: [discriminator loss: 0.544078, acc: 0.718750] [adversarial loss: 1.151735, acc: 0.187500] 865: [discriminator loss: 0.554022, acc: 0.695312] [adversarial loss: 1.053930, acc: 0.203125] 866: [discriminator loss: 0.519907, acc: 0.765625] [adversarial loss: 1.400943, acc: 0.109375] 867: [discriminator loss: 0.530317, acc: 0.710938] [adversarial loss: 0.881467, acc: 0.343750] 868: [discriminator loss: 0.516905, acc: 0.734375] [adversarial loss: 1.714228, acc: 0.078125] 869: [discriminator loss: 0.618115, acc: 0.656250] [adversarial loss: 0.726876, acc: 0.515625] 870: [discriminator loss: 0.612395, acc: 0.679688] [adversarial loss: 1.555761, acc: 0.015625] 871: [discriminator loss: 0.572037, acc: 0.648438] [adversarial loss: 0.830708, acc: 0.437500] 872: [discriminator loss: 0.509151, acc: 0.742188] [adversarial loss: 1.304658, acc: 0.093750] 873: [discriminator loss: 0.504683, acc: 0.773438] [adversarial loss: 0.958964, acc: 0.281250] 874: [discriminator loss: 0.520534, acc: 0.757812] [adversarial loss: 1.107897, acc: 0.140625] 875: [discriminator loss: 0.489935, acc: 0.789062] [adversarial loss: 1.080062, acc: 0.343750] 876: [discriminator loss: 0.556660, acc: 0.664062] [adversarial loss: 1.048678, acc: 0.218750] 877: [discriminator loss: 0.562170, acc: 0.703125] [adversarial loss: 1.055849, acc: 0.203125] 878: [discriminator loss: 0.522410, acc: 0.742188] [adversarial loss: 1.201899, acc: 0.109375] 879: [discriminator loss: 0.493603, acc: 0.789062] [adversarial loss: 1.007131, acc: 0.281250] 880: [discriminator loss: 0.463521, acc: 0.789062] [adversarial loss: 1.647762, acc: 0.093750] 881: [discriminator loss: 0.557371, acc: 0.687500] [adversarial loss: 0.686641, acc: 0.625000] 882: [discriminator loss: 0.594339, acc: 0.656250] [adversarial loss: 1.736877, acc: 0.015625] 883: [discriminator loss: 0.650831, acc: 0.664062] [adversarial loss: 0.675630, acc: 0.562500] 884: [discriminator loss: 0.581272, acc: 0.656250] [adversarial loss: 1.215534, acc: 0.171875] 885: [discriminator loss: 0.566589, acc: 0.695312] [adversarial loss: 1.015614, acc: 0.234375] 886: [discriminator loss: 0.555328, acc: 0.687500] [adversarial loss: 1.415833, acc: 0.109375] 887: [discriminator loss: 0.472163, acc: 0.804688] [adversarial loss: 1.027950, acc: 0.265625] 888: [discriminator loss: 0.478255, acc: 0.796875] [adversarial loss: 1.268461, acc: 0.125000] 889: [discriminator loss: 0.512003, acc: 0.789062] [adversarial loss: 1.002079, acc: 0.234375] 890: [discriminator loss: 0.495171, acc: 0.750000] [adversarial loss: 1.451113, acc: 0.125000] 891: [discriminator loss: 0.550440, acc: 0.687500] [adversarial loss: 0.722233, acc: 0.546875] 892: [discriminator loss: 0.581193, acc: 0.687500] [adversarial loss: 1.674741, acc: 0.031250] 893: [discriminator loss: 0.538021, acc: 0.726562] [adversarial loss: 0.865719, acc: 0.343750] 894: [discriminator loss: 0.522426, acc: 0.750000] [adversarial loss: 1.580579, acc: 0.015625] 895: [discriminator loss: 0.521406, acc: 0.703125] [adversarial loss: 0.857221, acc: 0.406250] 896: [discriminator loss: 0.534193, acc: 0.726562] [adversarial loss: 1.392475, acc: 0.125000] 897: [discriminator loss: 0.509085, acc: 0.726562] [adversarial loss: 0.849498, acc: 0.468750] 898: [discriminator loss: 0.568372, acc: 0.679688] [adversarial loss: 1.718049, acc: 0.015625] 899: [discriminator loss: 0.548165, acc: 0.710938] [adversarial loss: 0.558610, acc: 0.671875] 900: [discriminator loss: 0.579226, acc: 0.656250] [adversarial loss: 1.807571, acc: 0.015625] 901: [discriminator loss: 0.565407, acc: 0.703125] [adversarial loss: 0.842412, acc: 0.437500] 902: [discriminator loss: 0.542176, acc: 0.734375] [adversarial loss: 1.537409, acc: 0.031250] 903: [discriminator loss: 0.593248, acc: 0.679688] [adversarial loss: 0.785717, acc: 0.406250] 904: [discriminator loss: 0.591168, acc: 0.671875] [adversarial loss: 1.324359, acc: 0.109375] 905: [discriminator loss: 0.530384, acc: 0.765625] [adversarial loss: 0.882378, acc: 0.359375] 906: [discriminator loss: 0.496163, acc: 0.789062] [adversarial loss: 1.435669, acc: 0.078125] 907: [discriminator loss: 0.564109, acc: 0.718750] [adversarial loss: 0.811022, acc: 0.375000] 908: [discriminator loss: 0.545652, acc: 0.726562] [adversarial loss: 1.535858, acc: 0.031250] 909: [discriminator loss: 0.565811, acc: 0.726562] [adversarial loss: 0.777406, acc: 0.500000] 910: [discriminator loss: 0.547442, acc: 0.671875] [adversarial loss: 1.667143, acc: 0.046875] 911: [discriminator loss: 0.563199, acc: 0.664062] [adversarial loss: 0.787020, acc: 0.468750] 912: [discriminator loss: 0.624273, acc: 0.656250] [adversarial loss: 1.556957, acc: 0.062500] 913: [discriminator loss: 0.531254, acc: 0.750000] [adversarial loss: 1.011104, acc: 0.218750] 914: [discriminator loss: 0.505146, acc: 0.757812] [adversarial loss: 1.092836, acc: 0.218750] 915: [discriminator loss: 0.497642, acc: 0.828125] [adversarial loss: 1.262369, acc: 0.125000] 916: [discriminator loss: 0.514432, acc: 0.742188] [adversarial loss: 1.069049, acc: 0.234375] 917: [discriminator loss: 0.500086, acc: 0.781250] [adversarial loss: 1.239617, acc: 0.187500] 918: [discriminator loss: 0.463244, acc: 0.804688] [adversarial loss: 0.977915, acc: 0.296875] 919: [discriminator loss: 0.511314, acc: 0.796875] [adversarial loss: 1.185108, acc: 0.187500] 920: [discriminator loss: 0.498068, acc: 0.796875] [adversarial loss: 0.999917, acc: 0.359375] 921: [discriminator loss: 0.552568, acc: 0.710938] [adversarial loss: 1.293390, acc: 0.156250] 922: [discriminator loss: 0.475439, acc: 0.804688] [adversarial loss: 0.974191, acc: 0.359375] 923: [discriminator loss: 0.529776, acc: 0.742188] [adversarial loss: 1.356738, acc: 0.156250] 924: [discriminator loss: 0.542040, acc: 0.750000] [adversarial loss: 0.585433, acc: 0.640625] 925: [discriminator loss: 0.623011, acc: 0.648438] [adversarial loss: 2.099850, acc: 0.015625] 926: [discriminator loss: 0.580382, acc: 0.656250] [adversarial loss: 0.826020, acc: 0.468750] 927: [discriminator loss: 0.628973, acc: 0.656250] [adversarial loss: 1.400217, acc: 0.093750] 928: [discriminator loss: 0.539779, acc: 0.703125] [adversarial loss: 0.858015, acc: 0.390625] 929: [discriminator loss: 0.538747, acc: 0.742188] [adversarial loss: 1.499132, acc: 0.078125] 930: [discriminator loss: 0.503155, acc: 0.765625] [adversarial loss: 1.068352, acc: 0.218750] 931: [discriminator loss: 0.497030, acc: 0.789062] [adversarial loss: 1.456330, acc: 0.125000] 932: [discriminator loss: 0.536886, acc: 0.718750] [adversarial loss: 0.697627, acc: 0.609375] 933: [discriminator loss: 0.496483, acc: 0.703125] [adversarial loss: 1.771835, acc: 0.015625] 934: [discriminator loss: 0.550322, acc: 0.710938] [adversarial loss: 0.889866, acc: 0.468750] 935: [discriminator loss: 0.485092, acc: 0.781250] [adversarial loss: 1.306417, acc: 0.140625] 936: [discriminator loss: 0.526432, acc: 0.718750] [adversarial loss: 0.970464, acc: 0.312500] 937: [discriminator loss: 0.515748, acc: 0.726562] [adversarial loss: 1.427822, acc: 0.046875] 938: [discriminator loss: 0.522373, acc: 0.726562] [adversarial loss: 0.896716, acc: 0.390625] 939: [discriminator loss: 0.521049, acc: 0.718750] [adversarial loss: 1.385995, acc: 0.109375] 940: [discriminator loss: 0.462193, acc: 0.812500] [adversarial loss: 1.029074, acc: 0.312500] 941: [discriminator loss: 0.475651, acc: 0.812500] [adversarial loss: 1.274545, acc: 0.109375] 942: [discriminator loss: 0.532251, acc: 0.750000] [adversarial loss: 1.035857, acc: 0.281250] 943: [discriminator loss: 0.529937, acc: 0.726562] [adversarial loss: 1.287002, acc: 0.140625] 944: [discriminator loss: 0.520602, acc: 0.765625] [adversarial loss: 0.799124, acc: 0.453125] 945: [discriminator loss: 0.527175, acc: 0.687500] [adversarial loss: 1.634802, acc: 0.078125] 946: [discriminator loss: 0.552778, acc: 0.718750] [adversarial loss: 0.673854, acc: 0.593750] 947: [discriminator loss: 0.557311, acc: 0.656250] [adversarial loss: 1.996724, acc: 0.046875] 948: [discriminator loss: 0.616382, acc: 0.687500] [adversarial loss: 0.599037, acc: 0.671875] 949: [discriminator loss: 0.558057, acc: 0.679688] [adversarial loss: 1.563329, acc: 0.156250] 950: [discriminator loss: 0.581961, acc: 0.726562] [adversarial loss: 0.944704, acc: 0.359375] 951: [discriminator loss: 0.551359, acc: 0.679688] [adversarial loss: 1.154826, acc: 0.156250] 952: [discriminator loss: 0.501995, acc: 0.734375] [adversarial loss: 1.203289, acc: 0.187500] 953: [discriminator loss: 0.497723, acc: 0.773438] [adversarial loss: 1.025847, acc: 0.218750] 954: [discriminator loss: 0.512735, acc: 0.742188] [adversarial loss: 1.233386, acc: 0.250000] 955: [discriminator loss: 0.515926, acc: 0.726562] [adversarial loss: 0.909405, acc: 0.296875] 956: [discriminator loss: 0.520536, acc: 0.750000] [adversarial loss: 1.702879, acc: 0.062500] 957: [discriminator loss: 0.656480, acc: 0.664062] [adversarial loss: 0.735082, acc: 0.500000] 958: [discriminator loss: 0.596728, acc: 0.695312] [adversarial loss: 1.697699, acc: 0.046875] 959: [discriminator loss: 0.603493, acc: 0.648438] [adversarial loss: 0.774921, acc: 0.609375] 960: [discriminator loss: 0.591256, acc: 0.640625] [adversarial loss: 1.732993, acc: 0.000000] 961: [discriminator loss: 0.574610, acc: 0.710938] [adversarial loss: 0.746904, acc: 0.500000] 962: [discriminator loss: 0.558549, acc: 0.695312] [adversarial loss: 1.201587, acc: 0.203125] 963: [discriminator loss: 0.502353, acc: 0.789062] [adversarial loss: 1.002667, acc: 0.250000] 964: [discriminator loss: 0.538984, acc: 0.710938] [adversarial loss: 1.121556, acc: 0.140625] 965: [discriminator loss: 0.514752, acc: 0.757812] [adversarial loss: 1.354941, acc: 0.109375] 966: [discriminator loss: 0.479975, acc: 0.804688] [adversarial loss: 1.244667, acc: 0.171875] 967: [discriminator loss: 0.564601, acc: 0.695312] [adversarial loss: 0.863539, acc: 0.437500] 968: [discriminator loss: 0.575233, acc: 0.679688] [adversarial loss: 1.608830, acc: 0.078125] 969: [discriminator loss: 0.543212, acc: 0.742188] [adversarial loss: 0.848778, acc: 0.390625] 970: [discriminator loss: 0.526542, acc: 0.757812] [adversarial loss: 1.599859, acc: 0.093750] 971: [discriminator loss: 0.552340, acc: 0.710938] [adversarial loss: 0.955886, acc: 0.375000] 972: [discriminator loss: 0.557746, acc: 0.718750] [adversarial loss: 1.377094, acc: 0.109375] 973: [discriminator loss: 0.571603, acc: 0.687500] [adversarial loss: 0.852175, acc: 0.375000] 974: [discriminator loss: 0.461920, acc: 0.828125] [adversarial loss: 1.294211, acc: 0.171875] 975: [discriminator loss: 0.517499, acc: 0.773438] [adversarial loss: 1.018448, acc: 0.250000] 976: [discriminator loss: 0.524347, acc: 0.718750] [adversarial loss: 1.532487, acc: 0.093750] 977: [discriminator loss: 0.551088, acc: 0.710938] [adversarial loss: 0.826661, acc: 0.515625] 978: [discriminator loss: 0.548828, acc: 0.703125] [adversarial loss: 1.626349, acc: 0.093750] 979: [discriminator loss: 0.624475, acc: 0.632812] [adversarial loss: 0.631461, acc: 0.703125] 980: [discriminator loss: 0.539219, acc: 0.703125] [adversarial loss: 1.688770, acc: 0.062500] 981: [discriminator loss: 0.541348, acc: 0.710938] [adversarial loss: 0.955111, acc: 0.343750] 982: [discriminator loss: 0.490612, acc: 0.804688] [adversarial loss: 1.189078, acc: 0.203125] 983: [discriminator loss: 0.543300, acc: 0.742188] [adversarial loss: 1.104642, acc: 0.171875] 984: [discriminator loss: 0.457602, acc: 0.812500] [adversarial loss: 1.243515, acc: 0.171875] 985: [discriminator loss: 0.502226, acc: 0.757812] [adversarial loss: 0.911541, acc: 0.390625] 986: [discriminator loss: 0.524609, acc: 0.773438] [adversarial loss: 1.319171, acc: 0.125000] 987: [discriminator loss: 0.481310, acc: 0.765625] [adversarial loss: 0.856598, acc: 0.484375] 988: [discriminator loss: 0.543525, acc: 0.718750] [adversarial loss: 1.486275, acc: 0.093750] 989: [discriminator loss: 0.554526, acc: 0.734375] [adversarial loss: 1.067509, acc: 0.265625] 990: [discriminator loss: 0.596726, acc: 0.695312] [adversarial loss: 1.142483, acc: 0.218750] 991: [discriminator loss: 0.521201, acc: 0.773438] [adversarial loss: 0.767552, acc: 0.562500] 992: [discriminator loss: 0.605586, acc: 0.718750] [adversarial loss: 1.902050, acc: 0.015625] 993: [discriminator loss: 0.621889, acc: 0.656250] [adversarial loss: 0.669386, acc: 0.593750] 994: [discriminator loss: 0.623243, acc: 0.625000] [adversarial loss: 2.033099, acc: 0.031250] 995: [discriminator loss: 0.648333, acc: 0.625000] [adversarial loss: 0.884998, acc: 0.343750] 996: [discriminator loss: 0.630109, acc: 0.695312] [adversarial loss: 1.450241, acc: 0.140625] 997: [discriminator loss: 0.564964, acc: 0.695312] [adversarial loss: 0.942150, acc: 0.265625] 998: [discriminator loss: 0.515131, acc: 0.734375] [adversarial loss: 1.381571, acc: 0.078125] 999: [discriminator loss: 0.417761, acc: 0.835938] [adversarial loss: 1.179856, acc: 0.203125] 1000: [discriminator loss: 0.534201, acc: 0.757812] [adversarial loss: 1.231152, acc: 0.203125] 1001: [discriminator loss: 0.492720, acc: 0.773438] [adversarial loss: 0.988106, acc: 0.312500] 1002: [discriminator loss: 0.546402, acc: 0.687500] [adversarial loss: 1.413083, acc: 0.140625] 1003: [discriminator loss: 0.532633, acc: 0.734375] [adversarial loss: 0.747407, acc: 0.500000] 1004: [discriminator loss: 0.559652, acc: 0.695312] [adversarial loss: 1.610295, acc: 0.046875] 1005: [discriminator loss: 0.536305, acc: 0.734375] [adversarial loss: 0.891669, acc: 0.359375] 1006: [discriminator loss: 0.571337, acc: 0.703125] [adversarial loss: 1.483630, acc: 0.062500] 1007: [discriminator loss: 0.641769, acc: 0.679688] [adversarial loss: 0.874471, acc: 0.375000] 1008: [discriminator loss: 0.574279, acc: 0.710938] [adversarial loss: 1.668157, acc: 0.046875] 1009: [discriminator loss: 0.496074, acc: 0.757812] [adversarial loss: 0.856019, acc: 0.359375] 1010: [discriminator loss: 0.470578, acc: 0.804688] [adversarial loss: 1.458399, acc: 0.078125] 1011: [discriminator loss: 0.556616, acc: 0.726562] [adversarial loss: 0.884515, acc: 0.390625] 1012: [discriminator loss: 0.529959, acc: 0.734375] [adversarial loss: 1.404060, acc: 0.140625] 1013: [discriminator loss: 0.481469, acc: 0.796875] [adversarial loss: 1.193289, acc: 0.171875] 1014: [discriminator loss: 0.450735, acc: 0.796875] [adversarial loss: 0.994781, acc: 0.234375] 1015: [discriminator loss: 0.567002, acc: 0.695312] [adversarial loss: 1.661239, acc: 0.109375] 1016: [discriminator loss: 0.543333, acc: 0.671875] [adversarial loss: 0.835468, acc: 0.359375] 1017: [discriminator loss: 0.553937, acc: 0.695312] [adversarial loss: 1.432564, acc: 0.140625] 1018: [discriminator loss: 0.599818, acc: 0.671875] [adversarial loss: 0.693681, acc: 0.609375] 1019: [discriminator loss: 0.537459, acc: 0.710938] [adversarial loss: 1.591670, acc: 0.046875] 1020: [discriminator loss: 0.548683, acc: 0.718750] [adversarial loss: 0.848870, acc: 0.312500] 1021: [discriminator loss: 0.637091, acc: 0.617188] [adversarial loss: 1.542385, acc: 0.046875] 1022: [discriminator loss: 0.627829, acc: 0.679688] [adversarial loss: 0.831139, acc: 0.421875] 1023: [discriminator loss: 0.548283, acc: 0.742188] [adversarial loss: 1.259609, acc: 0.187500] 1024: [discriminator loss: 0.526377, acc: 0.750000] [adversarial loss: 1.214435, acc: 0.156250] 1025: [discriminator loss: 0.563085, acc: 0.710938] [adversarial loss: 1.002349, acc: 0.250000] 1026: [discriminator loss: 0.573194, acc: 0.679688] [adversarial loss: 1.139276, acc: 0.250000] 1027: [discriminator loss: 0.495834, acc: 0.781250] [adversarial loss: 0.925243, acc: 0.343750] 1028: [discriminator loss: 0.454867, acc: 0.789062] [adversarial loss: 1.308219, acc: 0.203125] 1029: [discriminator loss: 0.494366, acc: 0.750000] [adversarial loss: 0.814810, acc: 0.500000] 1030: [discriminator loss: 0.553550, acc: 0.718750] [adversarial loss: 1.632033, acc: 0.031250] 1031: [discriminator loss: 0.572080, acc: 0.671875] [adversarial loss: 0.794537, acc: 0.500000] 1032: [discriminator loss: 0.586634, acc: 0.671875] [adversarial loss: 1.676820, acc: 0.015625] 1033: [discriminator loss: 0.590470, acc: 0.679688] [adversarial loss: 0.676158, acc: 0.609375] 1034: [discriminator loss: 0.661786, acc: 0.625000] [adversarial loss: 1.889877, acc: 0.031250] 1035: [discriminator loss: 0.561659, acc: 0.656250] [adversarial loss: 0.845853, acc: 0.375000] 1036: [discriminator loss: 0.514359, acc: 0.734375] [adversarial loss: 1.289355, acc: 0.109375] 1037: [discriminator loss: 0.479576, acc: 0.781250] [adversarial loss: 0.971861, acc: 0.359375] 1038: [discriminator loss: 0.553479, acc: 0.726562] [adversarial loss: 1.105067, acc: 0.265625] 1039: [discriminator loss: 0.529775, acc: 0.703125] [adversarial loss: 1.016877, acc: 0.234375] 1040: [discriminator loss: 0.536458, acc: 0.726562] [adversarial loss: 1.073738, acc: 0.234375] 1041: [discriminator loss: 0.495758, acc: 0.757812] [adversarial loss: 1.118382, acc: 0.250000] 1042: [discriminator loss: 0.538615, acc: 0.679688] [adversarial loss: 1.243581, acc: 0.156250] 1043: [discriminator loss: 0.465927, acc: 0.781250] [adversarial loss: 1.024026, acc: 0.296875] 1044: [discriminator loss: 0.489171, acc: 0.773438] [adversarial loss: 1.132186, acc: 0.203125] 1045: [discriminator loss: 0.497125, acc: 0.757812] [adversarial loss: 1.018821, acc: 0.296875] 1046: [discriminator loss: 0.526626, acc: 0.710938] [adversarial loss: 1.412222, acc: 0.078125] 1047: [discriminator loss: 0.552927, acc: 0.726562] [adversarial loss: 0.801297, acc: 0.453125] 1048: [discriminator loss: 0.515725, acc: 0.750000] [adversarial loss: 1.612807, acc: 0.062500] 1049: [discriminator loss: 0.557761, acc: 0.734375] [adversarial loss: 0.830821, acc: 0.468750] 1050: [discriminator loss: 0.552143, acc: 0.679688] [adversarial loss: 1.967084, acc: 0.000000] 1051: [discriminator loss: 0.673055, acc: 0.625000] [adversarial loss: 0.594509, acc: 0.687500] 1052: [discriminator loss: 0.655233, acc: 0.625000] [adversarial loss: 1.781240, acc: 0.000000] 1053: [discriminator loss: 0.589967, acc: 0.687500] [adversarial loss: 0.842718, acc: 0.390625] 1054: [discriminator loss: 0.551551, acc: 0.726562] [adversarial loss: 1.384283, acc: 0.078125] 1055: [discriminator loss: 0.571027, acc: 0.695312] [adversarial loss: 0.968459, acc: 0.296875] 1056: [discriminator loss: 0.513245, acc: 0.757812] [adversarial loss: 1.595539, acc: 0.078125] 1057: [discriminator loss: 0.533010, acc: 0.742188] [adversarial loss: 0.955852, acc: 0.281250] 1058: [discriminator loss: 0.508894, acc: 0.734375] [adversarial loss: 1.401133, acc: 0.109375] 1059: [discriminator loss: 0.492034, acc: 0.750000] [adversarial loss: 1.351076, acc: 0.078125] 1060: [discriminator loss: 0.471628, acc: 0.812500] [adversarial loss: 1.064976, acc: 0.265625] 1061: [discriminator loss: 0.551606, acc: 0.687500] [adversarial loss: 1.297480, acc: 0.171875] 1062: [discriminator loss: 0.479517, acc: 0.773438] [adversarial loss: 0.889106, acc: 0.296875] 1063: [discriminator loss: 0.513321, acc: 0.773438] [adversarial loss: 1.197739, acc: 0.125000] 1064: [discriminator loss: 0.480310, acc: 0.804688] [adversarial loss: 0.992150, acc: 0.343750] 1065: [discriminator loss: 0.518897, acc: 0.750000] [adversarial loss: 1.425485, acc: 0.156250] 1066: [discriminator loss: 0.520752, acc: 0.750000] [adversarial loss: 0.892831, acc: 0.343750] 1067: [discriminator loss: 0.527366, acc: 0.750000] [adversarial loss: 1.657677, acc: 0.031250] 1068: [discriminator loss: 0.545881, acc: 0.734375] [adversarial loss: 0.849917, acc: 0.453125] 1069: [discriminator loss: 0.631227, acc: 0.703125] [adversarial loss: 1.747574, acc: 0.031250] 1070: [discriminator loss: 0.536127, acc: 0.664062] [adversarial loss: 0.803354, acc: 0.484375] 1071: [discriminator loss: 0.516424, acc: 0.734375] [adversarial loss: 1.602935, acc: 0.109375] 1072: [discriminator loss: 0.506450, acc: 0.757812] [adversarial loss: 0.951292, acc: 0.390625] 1073: [discriminator loss: 0.512611, acc: 0.781250] [adversarial loss: 1.260476, acc: 0.234375] 1074: [discriminator loss: 0.564667, acc: 0.757812] [adversarial loss: 0.981933, acc: 0.250000] 1075: [discriminator loss: 0.524418, acc: 0.750000] [adversarial loss: 1.490922, acc: 0.062500] 1076: [discriminator loss: 0.498713, acc: 0.765625] [adversarial loss: 0.887422, acc: 0.375000] 1077: [discriminator loss: 0.569096, acc: 0.750000] [adversarial loss: 1.424434, acc: 0.187500] 1078: [discriminator loss: 0.563653, acc: 0.687500] [adversarial loss: 0.842241, acc: 0.468750] 1079: [discriminator loss: 0.562788, acc: 0.718750] [adversarial loss: 1.918514, acc: 0.031250] 1080: [discriminator loss: 0.593198, acc: 0.640625] [adversarial loss: 0.714413, acc: 0.625000] 1081: [discriminator loss: 0.627149, acc: 0.679688] [adversarial loss: 1.629329, acc: 0.062500] 1082: [discriminator loss: 0.516017, acc: 0.726562] [adversarial loss: 0.801161, acc: 0.437500] 1083: [discriminator loss: 0.542791, acc: 0.703125] [adversarial loss: 1.513324, acc: 0.156250] 1084: [discriminator loss: 0.497365, acc: 0.765625] [adversarial loss: 0.905469, acc: 0.390625] 1085: [discriminator loss: 0.569833, acc: 0.734375] [adversarial loss: 1.593607, acc: 0.093750] 1086: [discriminator loss: 0.547055, acc: 0.718750] [adversarial loss: 1.266236, acc: 0.218750] 1087: [discriminator loss: 0.500150, acc: 0.757812] [adversarial loss: 1.186795, acc: 0.203125] 1088: [discriminator loss: 0.617335, acc: 0.671875] [adversarial loss: 0.917959, acc: 0.343750] 1089: [discriminator loss: 0.489474, acc: 0.789062] [adversarial loss: 1.116597, acc: 0.203125] 1090: [discriminator loss: 0.495066, acc: 0.750000] [adversarial loss: 0.959120, acc: 0.328125] 1091: [discriminator loss: 0.469930, acc: 0.781250] [adversarial loss: 1.707933, acc: 0.078125] 1092: [discriminator loss: 0.621374, acc: 0.632812] [adversarial loss: 0.818206, acc: 0.437500] 1093: [discriminator loss: 0.595274, acc: 0.664062] [adversarial loss: 1.610977, acc: 0.078125] 1094: [discriminator loss: 0.615089, acc: 0.632812] [adversarial loss: 0.830777, acc: 0.390625] 1095: [discriminator loss: 0.544668, acc: 0.695312] [adversarial loss: 1.388351, acc: 0.109375] 1096: [discriminator loss: 0.520806, acc: 0.734375] [adversarial loss: 0.905645, acc: 0.375000] 1097: [discriminator loss: 0.504652, acc: 0.734375] [adversarial loss: 1.515866, acc: 0.125000] 1098: [discriminator loss: 0.516601, acc: 0.703125] [adversarial loss: 1.056817, acc: 0.281250] 1099: [discriminator loss: 0.480172, acc: 0.812500] [adversarial loss: 1.218891, acc: 0.125000] 1100: [discriminator loss: 0.516252, acc: 0.742188] [adversarial loss: 1.315169, acc: 0.109375] 1101: [discriminator loss: 0.533793, acc: 0.773438] [adversarial loss: 0.963794, acc: 0.421875] 1102: [discriminator loss: 0.602573, acc: 0.601562] [adversarial loss: 1.544152, acc: 0.062500] 1103: [discriminator loss: 0.558869, acc: 0.750000] [adversarial loss: 0.974248, acc: 0.296875] 1104: [discriminator loss: 0.530819, acc: 0.750000] [adversarial loss: 1.135650, acc: 0.203125] 1105: [discriminator loss: 0.463647, acc: 0.773438] [adversarial loss: 1.080069, acc: 0.250000] 1106: [discriminator loss: 0.538963, acc: 0.718750] [adversarial loss: 1.263295, acc: 0.171875] 1107: [discriminator loss: 0.422097, acc: 0.796875] [adversarial loss: 0.887095, acc: 0.421875] 1108: [discriminator loss: 0.548991, acc: 0.710938] [adversarial loss: 1.813377, acc: 0.015625] 1109: [discriminator loss: 0.543298, acc: 0.703125] [adversarial loss: 0.652244, acc: 0.625000] 1110: [discriminator loss: 0.562000, acc: 0.679688] [adversarial loss: 1.581333, acc: 0.078125] 1111: [discriminator loss: 0.528457, acc: 0.742188] [adversarial loss: 0.788022, acc: 0.500000] 1112: [discriminator loss: 0.599499, acc: 0.664062] [adversarial loss: 1.459519, acc: 0.125000] 1113: [discriminator loss: 0.563803, acc: 0.718750] [adversarial loss: 0.820298, acc: 0.437500] 1114: [discriminator loss: 0.560556, acc: 0.671875] [adversarial loss: 1.458404, acc: 0.125000] 1115: [discriminator loss: 0.521298, acc: 0.750000] [adversarial loss: 0.831089, acc: 0.500000] 1116: [discriminator loss: 0.600901, acc: 0.632812] [adversarial loss: 1.362796, acc: 0.125000] 1117: [discriminator loss: 0.538836, acc: 0.703125] [adversarial loss: 1.035721, acc: 0.328125] 1118: [discriminator loss: 0.602419, acc: 0.679688] [adversarial loss: 1.021707, acc: 0.343750] 1119: [discriminator loss: 0.474392, acc: 0.835938] [adversarial loss: 1.453713, acc: 0.093750] 1120: [discriminator loss: 0.514054, acc: 0.710938] [adversarial loss: 0.801614, acc: 0.453125] 1121: [discriminator loss: 0.585068, acc: 0.703125] [adversarial loss: 1.816485, acc: 0.046875] 1122: [discriminator loss: 0.504552, acc: 0.734375] [adversarial loss: 0.815222, acc: 0.390625] 1123: [discriminator loss: 0.557877, acc: 0.695312] [adversarial loss: 1.551295, acc: 0.093750] 1124: [discriminator loss: 0.585585, acc: 0.718750] [adversarial loss: 0.809944, acc: 0.515625] 1125: [discriminator loss: 0.489104, acc: 0.781250] [adversarial loss: 1.350858, acc: 0.125000] 1126: [discriminator loss: 0.506878, acc: 0.734375] [adversarial loss: 0.769530, acc: 0.484375] 1127: [discriminator loss: 0.580213, acc: 0.648438] [adversarial loss: 1.686862, acc: 0.046875] 1128: [discriminator loss: 0.578720, acc: 0.687500] [adversarial loss: 0.759849, acc: 0.546875] 1129: [discriminator loss: 0.525386, acc: 0.718750] [adversarial loss: 1.769947, acc: 0.062500] 1130: [discriminator loss: 0.535232, acc: 0.718750] [adversarial loss: 0.997912, acc: 0.375000] 1131: [discriminator loss: 0.578541, acc: 0.734375] [adversarial loss: 1.620290, acc: 0.062500] 1132: [discriminator loss: 0.541406, acc: 0.718750] [adversarial loss: 0.926987, acc: 0.375000] 1133: [discriminator loss: 0.548897, acc: 0.718750] [adversarial loss: 1.360087, acc: 0.218750] 1134: [discriminator loss: 0.495759, acc: 0.757812] [adversarial loss: 1.026182, acc: 0.312500] 1135: [discriminator loss: 0.497353, acc: 0.742188] [adversarial loss: 1.156078, acc: 0.203125] 1136: [discriminator loss: 0.570032, acc: 0.710938] [adversarial loss: 1.298592, acc: 0.187500] 1137: [discriminator loss: 0.544514, acc: 0.734375] [adversarial loss: 0.824240, acc: 0.437500] 1138: [discriminator loss: 0.498463, acc: 0.765625] [adversarial loss: 1.414918, acc: 0.093750] 1139: [discriminator loss: 0.521977, acc: 0.734375] [adversarial loss: 0.845906, acc: 0.406250] 1140: [discriminator loss: 0.474163, acc: 0.789062] [adversarial loss: 1.388336, acc: 0.187500] 1141: [discriminator loss: 0.593610, acc: 0.710938] [adversarial loss: 0.827239, acc: 0.406250] 1142: [discriminator loss: 0.540930, acc: 0.726562] [adversarial loss: 1.578713, acc: 0.078125] 1143: [discriminator loss: 0.563585, acc: 0.718750] [adversarial loss: 0.733076, acc: 0.468750] 1144: [discriminator loss: 0.594346, acc: 0.703125] [adversarial loss: 1.385410, acc: 0.078125] 1145: [discriminator loss: 0.583421, acc: 0.695312] [adversarial loss: 1.029358, acc: 0.359375] 1146: [discriminator loss: 0.489351, acc: 0.742188] [adversarial loss: 1.217135, acc: 0.125000] 1147: [discriminator loss: 0.550674, acc: 0.718750] [adversarial loss: 0.981660, acc: 0.390625] 1148: [discriminator loss: 0.536964, acc: 0.757812] [adversarial loss: 1.807117, acc: 0.046875] 1149: [discriminator loss: 0.543213, acc: 0.703125] [adversarial loss: 0.785153, acc: 0.500000] 1150: [discriminator loss: 0.612338, acc: 0.625000] [adversarial loss: 1.617611, acc: 0.093750] 1151: [discriminator loss: 0.520173, acc: 0.742188] [adversarial loss: 0.790696, acc: 0.453125] 1152: [discriminator loss: 0.491776, acc: 0.750000] [adversarial loss: 1.471132, acc: 0.156250] 1153: [discriminator loss: 0.511851, acc: 0.742188] [adversarial loss: 0.918414, acc: 0.375000] 1154: [discriminator loss: 0.572890, acc: 0.687500] [adversarial loss: 1.816115, acc: 0.046875] 1155: [discriminator loss: 0.575729, acc: 0.648438] [adversarial loss: 0.756321, acc: 0.515625] 1156: [discriminator loss: 0.531345, acc: 0.734375] [adversarial loss: 1.345586, acc: 0.125000] 1157: [discriminator loss: 0.515659, acc: 0.765625] [adversarial loss: 1.159175, acc: 0.250000] 1158: [discriminator loss: 0.498368, acc: 0.757812] [adversarial loss: 1.100257, acc: 0.250000] 1159: [discriminator loss: 0.525581, acc: 0.742188] [adversarial loss: 1.086120, acc: 0.281250] 1160: [discriminator loss: 0.463720, acc: 0.812500] [adversarial loss: 1.101345, acc: 0.281250] 1161: [discriminator loss: 0.512309, acc: 0.734375] [adversarial loss: 1.254804, acc: 0.156250] 1162: [discriminator loss: 0.492616, acc: 0.750000] [adversarial loss: 1.213619, acc: 0.203125] 1163: [discriminator loss: 0.509857, acc: 0.765625] [adversarial loss: 0.910471, acc: 0.359375] 1164: [discriminator loss: 0.531941, acc: 0.695312] [adversarial loss: 1.541733, acc: 0.171875] 1165: [discriminator loss: 0.563459, acc: 0.718750] [adversarial loss: 0.794587, acc: 0.453125] 1166: [discriminator loss: 0.589150, acc: 0.718750] [adversarial loss: 1.678854, acc: 0.062500] 1167: [discriminator loss: 0.501907, acc: 0.765625] [adversarial loss: 1.005019, acc: 0.328125] 1168: [discriminator loss: 0.567613, acc: 0.734375] [adversarial loss: 1.293727, acc: 0.140625] 1169: [discriminator loss: 0.515320, acc: 0.773438] [adversarial loss: 1.080456, acc: 0.250000] 1170: [discriminator loss: 0.520380, acc: 0.765625] [adversarial loss: 1.596809, acc: 0.109375] 1171: [discriminator loss: 0.461091, acc: 0.812500] [adversarial loss: 0.797332, acc: 0.484375] 1172: [discriminator loss: 0.541159, acc: 0.703125] [adversarial loss: 1.776335, acc: 0.015625] 1173: [discriminator loss: 0.545199, acc: 0.687500] [adversarial loss: 0.684197, acc: 0.625000] 1174: [discriminator loss: 0.600584, acc: 0.664062] [adversarial loss: 1.648314, acc: 0.031250] 1175: [discriminator loss: 0.503187, acc: 0.718750] [adversarial loss: 0.828058, acc: 0.468750] 1176: [discriminator loss: 0.533043, acc: 0.750000] [adversarial loss: 1.744887, acc: 0.078125] 1177: [discriminator loss: 0.474631, acc: 0.742188] [adversarial loss: 1.157097, acc: 0.203125] 1178: [discriminator loss: 0.504089, acc: 0.789062] [adversarial loss: 1.222199, acc: 0.140625] 1179: [discriminator loss: 0.489615, acc: 0.765625] [adversarial loss: 1.051661, acc: 0.312500] 1180: [discriminator loss: 0.514886, acc: 0.789062] [adversarial loss: 1.200013, acc: 0.234375] 1181: [discriminator loss: 0.465811, acc: 0.804688] [adversarial loss: 1.220115, acc: 0.187500] 1182: [discriminator loss: 0.571888, acc: 0.679688] [adversarial loss: 1.110138, acc: 0.234375] 1183: [discriminator loss: 0.540668, acc: 0.765625] [adversarial loss: 1.450928, acc: 0.062500] 1184: [discriminator loss: 0.463922, acc: 0.812500] [adversarial loss: 1.043596, acc: 0.343750] 1185: [discriminator loss: 0.511840, acc: 0.750000] [adversarial loss: 1.278968, acc: 0.265625] 1186: [discriminator loss: 0.553019, acc: 0.718750] [adversarial loss: 1.135669, acc: 0.250000] 1187: [discriminator loss: 0.508672, acc: 0.742188] [adversarial loss: 1.040261, acc: 0.312500] 1188: [discriminator loss: 0.526814, acc: 0.742188] [adversarial loss: 1.337926, acc: 0.156250] 1189: [discriminator loss: 0.474810, acc: 0.789062] [adversarial loss: 0.879744, acc: 0.406250] 1190: [discriminator loss: 0.534969, acc: 0.703125] [adversarial loss: 1.847544, acc: 0.031250] 1191: [discriminator loss: 0.603694, acc: 0.703125] [adversarial loss: 0.543852, acc: 0.734375] 1192: [discriminator loss: 0.582009, acc: 0.671875] [adversarial loss: 1.937250, acc: 0.062500] 1193: [discriminator loss: 0.587141, acc: 0.671875] [adversarial loss: 0.793372, acc: 0.484375] 1194: [discriminator loss: 0.559785, acc: 0.695312] [adversarial loss: 1.705606, acc: 0.031250] 1195: [discriminator loss: 0.561988, acc: 0.718750] [adversarial loss: 0.813040, acc: 0.484375] 1196: [discriminator loss: 0.587389, acc: 0.750000] [adversarial loss: 1.277959, acc: 0.140625] 1197: [discriminator loss: 0.562194, acc: 0.742188] [adversarial loss: 0.826493, acc: 0.500000] 1198: [discriminator loss: 0.495561, acc: 0.750000] [adversarial loss: 1.432669, acc: 0.093750] 1199: [discriminator loss: 0.557723, acc: 0.710938] [adversarial loss: 0.765699, acc: 0.500000] 1200: [discriminator loss: 0.541663, acc: 0.726562] [adversarial loss: 1.451454, acc: 0.078125] 1201: [discriminator loss: 0.506294, acc: 0.781250] [adversarial loss: 1.102338, acc: 0.281250] 1202: [discriminator loss: 0.549344, acc: 0.734375] [adversarial loss: 1.445476, acc: 0.156250] 1203: [discriminator loss: 0.538406, acc: 0.750000] [adversarial loss: 0.998105, acc: 0.343750] 1204: [discriminator loss: 0.524419, acc: 0.765625] [adversarial loss: 1.447283, acc: 0.187500] 1205: [discriminator loss: 0.487791, acc: 0.789062] [adversarial loss: 0.830235, acc: 0.421875] 1206: [discriminator loss: 0.466984, acc: 0.820312] [adversarial loss: 1.357468, acc: 0.125000] 1207: [discriminator loss: 0.484644, acc: 0.781250] [adversarial loss: 0.939335, acc: 0.359375] 1208: [discriminator loss: 0.534358, acc: 0.750000] [adversarial loss: 1.857645, acc: 0.031250] 1209: [discriminator loss: 0.598173, acc: 0.687500] [adversarial loss: 0.687606, acc: 0.593750] 1210: [discriminator loss: 0.534717, acc: 0.726562] [adversarial loss: 1.820372, acc: 0.062500] 1211: [discriminator loss: 0.501885, acc: 0.781250] [adversarial loss: 0.848074, acc: 0.437500] 1212: [discriminator loss: 0.500485, acc: 0.804688] [adversarial loss: 1.230671, acc: 0.156250] 1213: [discriminator loss: 0.523385, acc: 0.750000] [adversarial loss: 0.986151, acc: 0.281250] 1214: [discriminator loss: 0.528263, acc: 0.765625] [adversarial loss: 1.266984, acc: 0.140625] 1215: [discriminator loss: 0.479879, acc: 0.828125] [adversarial loss: 1.097112, acc: 0.265625] 1216: [discriminator loss: 0.564797, acc: 0.726562] [adversarial loss: 1.200825, acc: 0.187500] 1217: [discriminator loss: 0.569587, acc: 0.679688] [adversarial loss: 1.042369, acc: 0.281250] 1218: [discriminator loss: 0.597128, acc: 0.656250] [adversarial loss: 1.894102, acc: 0.031250] 1219: [discriminator loss: 0.685051, acc: 0.656250] [adversarial loss: 0.561782, acc: 0.718750] 1220: [discriminator loss: 0.606505, acc: 0.671875] [adversarial loss: 1.416169, acc: 0.125000] 1221: [discriminator loss: 0.499049, acc: 0.765625] [adversarial loss: 1.005719, acc: 0.265625] 1222: [discriminator loss: 0.526361, acc: 0.750000] [adversarial loss: 1.216048, acc: 0.187500] 1223: [discriminator loss: 0.445600, acc: 0.812500] [adversarial loss: 1.201918, acc: 0.234375] 1224: [discriminator loss: 0.511988, acc: 0.757812] [adversarial loss: 1.101510, acc: 0.312500] 1225: [discriminator loss: 0.516407, acc: 0.750000] [adversarial loss: 1.093724, acc: 0.203125] 1226: [discriminator loss: 0.531361, acc: 0.765625] [adversarial loss: 1.442930, acc: 0.109375] 1227: [discriminator loss: 0.605220, acc: 0.671875] [adversarial loss: 0.869396, acc: 0.359375] 1228: [discriminator loss: 0.547612, acc: 0.687500] [adversarial loss: 1.475871, acc: 0.125000] 1229: [discriminator loss: 0.546161, acc: 0.710938] [adversarial loss: 0.983983, acc: 0.296875] 1230: [discriminator loss: 0.512083, acc: 0.718750] [adversarial loss: 1.637505, acc: 0.031250] 1231: [discriminator loss: 0.562396, acc: 0.703125] [adversarial loss: 0.789456, acc: 0.578125] 1232: [discriminator loss: 0.522218, acc: 0.710938] [adversarial loss: 1.498335, acc: 0.078125] 1233: [discriminator loss: 0.527439, acc: 0.750000] [adversarial loss: 0.817573, acc: 0.375000] 1234: [discriminator loss: 0.508563, acc: 0.781250] [adversarial loss: 1.281341, acc: 0.187500] 1235: [discriminator loss: 0.439035, acc: 0.835938] [adversarial loss: 1.019864, acc: 0.281250] 1236: [discriminator loss: 0.512923, acc: 0.750000] [adversarial loss: 1.690096, acc: 0.109375] 1237: [discriminator loss: 0.528892, acc: 0.726562] [adversarial loss: 1.029096, acc: 0.281250] 1238: [discriminator loss: 0.592501, acc: 0.687500] [adversarial loss: 1.561617, acc: 0.093750] 1239: [discriminator loss: 0.562729, acc: 0.734375] [adversarial loss: 0.699486, acc: 0.593750] 1240: [discriminator loss: 0.655156, acc: 0.640625] [adversarial loss: 1.801437, acc: 0.031250] 1241: [discriminator loss: 0.532610, acc: 0.703125] [adversarial loss: 0.845662, acc: 0.390625] 1242: [discriminator loss: 0.496419, acc: 0.750000] [adversarial loss: 1.558387, acc: 0.078125] 1243: [discriminator loss: 0.520854, acc: 0.773438] [adversarial loss: 0.918897, acc: 0.375000] 1244: [discriminator loss: 0.505675, acc: 0.765625] [adversarial loss: 1.185353, acc: 0.203125] 1245: [discriminator loss: 0.556317, acc: 0.687500] [adversarial loss: 1.126817, acc: 0.203125] 1246: [discriminator loss: 0.524593, acc: 0.789062] [adversarial loss: 1.356669, acc: 0.109375] 1247: [discriminator loss: 0.539023, acc: 0.757812] [adversarial loss: 1.053544, acc: 0.265625] 1248: [discriminator loss: 0.469182, acc: 0.796875] [adversarial loss: 1.344175, acc: 0.140625] 1249: [discriminator loss: 0.497535, acc: 0.773438] [adversarial loss: 0.882421, acc: 0.359375] 1250: [discriminator loss: 0.472168, acc: 0.789062] [adversarial loss: 1.587543, acc: 0.078125] 1251: [discriminator loss: 0.547941, acc: 0.695312] [adversarial loss: 0.810637, acc: 0.453125] 1252: [discriminator loss: 0.615705, acc: 0.617188] [adversarial loss: 1.863431, acc: 0.031250] 1253: [discriminator loss: 0.671190, acc: 0.664062] [adversarial loss: 0.867601, acc: 0.406250] 1254: [discriminator loss: 0.502883, acc: 0.718750] [adversarial loss: 1.382360, acc: 0.140625] 1255: [discriminator loss: 0.476189, acc: 0.789062] [adversarial loss: 1.109730, acc: 0.250000] 1256: [discriminator loss: 0.475745, acc: 0.757812] [adversarial loss: 1.253059, acc: 0.234375] 1257: [discriminator loss: 0.576007, acc: 0.695312] [adversarial loss: 1.198606, acc: 0.234375] 1258: [discriminator loss: 0.459232, acc: 0.820312] [adversarial loss: 1.256033, acc: 0.203125] 1259: [discriminator loss: 0.480886, acc: 0.765625] [adversarial loss: 1.006530, acc: 0.343750] 1260: [discriminator loss: 0.495760, acc: 0.765625] [adversarial loss: 1.283438, acc: 0.203125] 1261: [discriminator loss: 0.480559, acc: 0.750000] [adversarial loss: 1.180897, acc: 0.156250] 1262: [discriminator loss: 0.425343, acc: 0.828125] [adversarial loss: 1.364998, acc: 0.125000] 1263: [discriminator loss: 0.466419, acc: 0.781250] [adversarial loss: 1.180101, acc: 0.265625] 1264: [discriminator loss: 0.511854, acc: 0.757812] [adversarial loss: 1.596344, acc: 0.062500] 1265: [discriminator loss: 0.477913, acc: 0.750000] [adversarial loss: 0.807179, acc: 0.468750] 1266: [discriminator loss: 0.556971, acc: 0.687500] [adversarial loss: 1.716588, acc: 0.046875] 1267: [discriminator loss: 0.523298, acc: 0.742188] [adversarial loss: 0.640119, acc: 0.625000] 1268: [discriminator loss: 0.595011, acc: 0.695312] [adversarial loss: 1.715762, acc: 0.140625] 1269: [discriminator loss: 0.550095, acc: 0.695312] [adversarial loss: 1.053571, acc: 0.281250] 1270: [discriminator loss: 0.583262, acc: 0.703125] [adversarial loss: 1.406614, acc: 0.140625] 1271: [discriminator loss: 0.512828, acc: 0.750000] [adversarial loss: 1.153194, acc: 0.203125] 1272: [discriminator loss: 0.478084, acc: 0.796875] [adversarial loss: 1.428664, acc: 0.171875] 1273: [discriminator loss: 0.561462, acc: 0.687500] [adversarial loss: 1.227426, acc: 0.218750] 1274: [discriminator loss: 0.503562, acc: 0.742188] [adversarial loss: 1.543167, acc: 0.031250] 1275: [discriminator loss: 0.491273, acc: 0.781250] [adversarial loss: 0.996052, acc: 0.312500] 1276: [discriminator loss: 0.541432, acc: 0.710938] [adversarial loss: 1.489384, acc: 0.062500] 1277: [discriminator loss: 0.541685, acc: 0.773438] [adversarial loss: 1.027462, acc: 0.250000] 1278: [discriminator loss: 0.536951, acc: 0.742188] [adversarial loss: 1.642149, acc: 0.140625] 1279: [discriminator loss: 0.586308, acc: 0.656250] [adversarial loss: 0.961146, acc: 0.296875] 1280: [discriminator loss: 0.486713, acc: 0.742188] [adversarial loss: 1.512754, acc: 0.140625] 1281: [discriminator loss: 0.510244, acc: 0.734375] [adversarial loss: 0.757169, acc: 0.531250] 1282: [discriminator loss: 0.594512, acc: 0.679688] [adversarial loss: 1.868810, acc: 0.046875] 1283: [discriminator loss: 0.606300, acc: 0.648438] [adversarial loss: 0.965583, acc: 0.343750] 1284: [discriminator loss: 0.535329, acc: 0.734375] [adversarial loss: 1.577991, acc: 0.093750] 1285: [discriminator loss: 0.480616, acc: 0.773438] [adversarial loss: 0.913765, acc: 0.359375] 1286: [discriminator loss: 0.590199, acc: 0.695312] [adversarial loss: 1.694582, acc: 0.078125] 1287: [discriminator loss: 0.489771, acc: 0.750000] [adversarial loss: 1.031747, acc: 0.343750] 1288: [discriminator loss: 0.529142, acc: 0.718750] [adversarial loss: 1.479882, acc: 0.093750] 1289: [discriminator loss: 0.491489, acc: 0.742188] [adversarial loss: 1.076420, acc: 0.187500] 1290: [discriminator loss: 0.519503, acc: 0.718750] [adversarial loss: 1.270566, acc: 0.234375] 1291: [discriminator loss: 0.483252, acc: 0.781250] [adversarial loss: 1.146487, acc: 0.234375] 1292: [discriminator loss: 0.545856, acc: 0.703125] [adversarial loss: 1.287511, acc: 0.171875] 1293: [discriminator loss: 0.444048, acc: 0.804688] [adversarial loss: 1.281369, acc: 0.140625] 1294: [discriminator loss: 0.568821, acc: 0.703125] [adversarial loss: 1.075304, acc: 0.312500] 1295: [discriminator loss: 0.490802, acc: 0.781250] [adversarial loss: 1.262352, acc: 0.171875] 1296: [discriminator loss: 0.490328, acc: 0.734375] [adversarial loss: 1.018510, acc: 0.296875] 1297: [discriminator loss: 0.565199, acc: 0.750000] [adversarial loss: 1.393659, acc: 0.156250] 1298: [discriminator loss: 0.488411, acc: 0.765625] [adversarial loss: 1.090968, acc: 0.265625] 1299: [discriminator loss: 0.467793, acc: 0.750000] [adversarial loss: 1.233885, acc: 0.156250] 1300: [discriminator loss: 0.523756, acc: 0.726562] [adversarial loss: 0.866051, acc: 0.500000] 1301: [discriminator loss: 0.589852, acc: 0.695312] [adversarial loss: 1.469517, acc: 0.078125] 1302: [discriminator loss: 0.533698, acc: 0.734375] [adversarial loss: 0.705017, acc: 0.562500] 1303: [discriminator loss: 0.600651, acc: 0.687500] [adversarial loss: 2.009340, acc: 0.031250] 1304: [discriminator loss: 0.629768, acc: 0.664062] [adversarial loss: 0.774946, acc: 0.500000] 1305: [discriminator loss: 0.726308, acc: 0.593750] [adversarial loss: 1.924549, acc: 0.000000] 1306: [discriminator loss: 0.624625, acc: 0.687500] [adversarial loss: 0.972297, acc: 0.265625] 1307: [discriminator loss: 0.523724, acc: 0.710938] [adversarial loss: 1.556834, acc: 0.062500] 1308: [discriminator loss: 0.553462, acc: 0.726562] [adversarial loss: 0.977808, acc: 0.296875] 1309: [discriminator loss: 0.474714, acc: 0.789062] [adversarial loss: 1.278394, acc: 0.109375] 1310: [discriminator loss: 0.442168, acc: 0.859375] [adversarial loss: 1.225748, acc: 0.109375] 1311: [discriminator loss: 0.510988, acc: 0.742188] [adversarial loss: 1.000887, acc: 0.328125] 1312: [discriminator loss: 0.471282, acc: 0.781250] [adversarial loss: 1.238848, acc: 0.187500] 1313: [discriminator loss: 0.455008, acc: 0.843750] [adversarial loss: 1.211045, acc: 0.187500] 1314: [discriminator loss: 0.522181, acc: 0.750000] [adversarial loss: 1.318869, acc: 0.171875] 1315: [discriminator loss: 0.558306, acc: 0.750000] [adversarial loss: 1.176805, acc: 0.187500] 1316: [discriminator loss: 0.526478, acc: 0.750000] [adversarial loss: 1.264294, acc: 0.265625] 1317: [discriminator loss: 0.507342, acc: 0.781250] [adversarial loss: 1.200967, acc: 0.187500] 1318: [discriminator loss: 0.488642, acc: 0.750000] [adversarial loss: 1.188588, acc: 0.218750] 1319: [discriminator loss: 0.525641, acc: 0.726562] [adversarial loss: 1.379192, acc: 0.125000] 1320: [discriminator loss: 0.539909, acc: 0.757812] [adversarial loss: 0.931458, acc: 0.359375] 1321: [discriminator loss: 0.457469, acc: 0.812500] [adversarial loss: 1.226782, acc: 0.171875] 1322: [discriminator loss: 0.485610, acc: 0.781250] [adversarial loss: 0.981679, acc: 0.328125] 1323: [discriminator loss: 0.528555, acc: 0.734375] [adversarial loss: 1.839634, acc: 0.046875] 1324: [discriminator loss: 0.478426, acc: 0.765625] [adversarial loss: 0.794869, acc: 0.468750] 1325: [discriminator loss: 0.541245, acc: 0.734375] [adversarial loss: 1.798832, acc: 0.062500] 1326: [discriminator loss: 0.549158, acc: 0.734375] [adversarial loss: 0.812788, acc: 0.453125] 1327: [discriminator loss: 0.563617, acc: 0.703125] [adversarial loss: 1.661720, acc: 0.046875] 1328: [discriminator loss: 0.613871, acc: 0.679688] [adversarial loss: 0.867687, acc: 0.375000] 1329: [discriminator loss: 0.507762, acc: 0.734375] [adversarial loss: 1.383029, acc: 0.171875] 1330: [discriminator loss: 0.496560, acc: 0.757812] [adversarial loss: 0.982699, acc: 0.312500] 1331: [discriminator loss: 0.548371, acc: 0.671875] [adversarial loss: 1.206489, acc: 0.218750] 1332: [discriminator loss: 0.489671, acc: 0.773438] [adversarial loss: 0.989505, acc: 0.281250] 1333: [discriminator loss: 0.568448, acc: 0.726562] [adversarial loss: 1.749685, acc: 0.015625] 1334: [discriminator loss: 0.610635, acc: 0.726562] [adversarial loss: 0.703023, acc: 0.546875] 1335: [discriminator loss: 0.595092, acc: 0.648438] [adversarial loss: 2.003361, acc: 0.015625] 1336: [discriminator loss: 0.594312, acc: 0.687500] [adversarial loss: 0.845751, acc: 0.453125] 1337: [discriminator loss: 0.545014, acc: 0.703125] [adversarial loss: 1.499419, acc: 0.078125] 1338: [discriminator loss: 0.495740, acc: 0.750000] [adversarial loss: 0.899821, acc: 0.406250] 1339: [discriminator loss: 0.563170, acc: 0.710938] [adversarial loss: 1.330196, acc: 0.156250] 1340: [discriminator loss: 0.513536, acc: 0.750000] [adversarial loss: 1.031746, acc: 0.234375] 1341: [discriminator loss: 0.478730, acc: 0.734375] [adversarial loss: 1.371268, acc: 0.078125] 1342: [discriminator loss: 0.546153, acc: 0.710938] [adversarial loss: 1.057936, acc: 0.281250] 1343: [discriminator loss: 0.559218, acc: 0.750000] [adversarial loss: 1.251362, acc: 0.187500] 1344: [discriminator loss: 0.477120, acc: 0.796875] [adversarial loss: 1.125757, acc: 0.218750] 1345: [discriminator loss: 0.514684, acc: 0.789062] [adversarial loss: 1.473920, acc: 0.078125] 1346: [discriminator loss: 0.499222, acc: 0.742188] [adversarial loss: 0.804565, acc: 0.375000] 1347: [discriminator loss: 0.559068, acc: 0.742188] [adversarial loss: 1.732799, acc: 0.078125] 1348: [discriminator loss: 0.602849, acc: 0.703125] [adversarial loss: 0.841046, acc: 0.453125] 1349: [discriminator loss: 0.650470, acc: 0.593750] [adversarial loss: 1.675644, acc: 0.062500] 1350: [discriminator loss: 0.612544, acc: 0.671875] [adversarial loss: 1.089931, acc: 0.265625] 1351: [discriminator loss: 0.496741, acc: 0.757812] [adversarial loss: 1.353290, acc: 0.140625] 1352: [discriminator loss: 0.530237, acc: 0.726562] [adversarial loss: 0.997010, acc: 0.250000] 1353: [discriminator loss: 0.541226, acc: 0.750000] [adversarial loss: 1.129537, acc: 0.234375] 1354: [discriminator loss: 0.489610, acc: 0.750000] [adversarial loss: 1.176248, acc: 0.140625] 1355: [discriminator loss: 0.437250, acc: 0.804688] [adversarial loss: 1.321951, acc: 0.109375] 1356: [discriminator loss: 0.536076, acc: 0.765625] [adversarial loss: 1.248337, acc: 0.140625] 1357: [discriminator loss: 0.522310, acc: 0.734375] [adversarial loss: 1.141887, acc: 0.265625] 1358: [discriminator loss: 0.541461, acc: 0.750000] [adversarial loss: 1.369279, acc: 0.234375] 1359: [discriminator loss: 0.464885, acc: 0.804688] [adversarial loss: 1.159023, acc: 0.187500] 1360: [discriminator loss: 0.631267, acc: 0.640625] [adversarial loss: 1.676435, acc: 0.109375] 1361: [discriminator loss: 0.559851, acc: 0.710938] [adversarial loss: 0.672395, acc: 0.578125] 1362: [discriminator loss: 0.538197, acc: 0.695312] [adversarial loss: 1.909699, acc: 0.078125] 1363: [discriminator loss: 0.594210, acc: 0.726562] [adversarial loss: 0.985734, acc: 0.296875] 1364: [discriminator loss: 0.557732, acc: 0.757812] [adversarial loss: 1.361240, acc: 0.171875] 1365: [discriminator loss: 0.537554, acc: 0.734375] [adversarial loss: 0.959298, acc: 0.390625] 1366: [discriminator loss: 0.506779, acc: 0.773438] [adversarial loss: 1.372828, acc: 0.140625] 1367: [discriminator loss: 0.503094, acc: 0.757812] [adversarial loss: 1.152312, acc: 0.187500] 1368: [discriminator loss: 0.506761, acc: 0.742188] [adversarial loss: 1.422303, acc: 0.093750] 1369: [discriminator loss: 0.468894, acc: 0.750000] [adversarial loss: 0.934397, acc: 0.390625] 1370: [discriminator loss: 0.527569, acc: 0.750000] [adversarial loss: 1.667276, acc: 0.140625] 1371: [discriminator loss: 0.586787, acc: 0.648438] [adversarial loss: 0.807695, acc: 0.484375] 1372: [discriminator loss: 0.494571, acc: 0.765625] [adversarial loss: 1.534139, acc: 0.125000] 1373: [discriminator loss: 0.535115, acc: 0.710938] [adversarial loss: 0.941971, acc: 0.359375] 1374: [discriminator loss: 0.601291, acc: 0.656250] [adversarial loss: 1.712169, acc: 0.109375] 1375: [discriminator loss: 0.567664, acc: 0.742188] [adversarial loss: 1.168100, acc: 0.296875] 1376: [discriminator loss: 0.496239, acc: 0.765625] [adversarial loss: 1.622959, acc: 0.093750] 1377: [discriminator loss: 0.553560, acc: 0.718750] [adversarial loss: 0.910729, acc: 0.375000] 1378: [discriminator loss: 0.480438, acc: 0.789062] [adversarial loss: 1.463939, acc: 0.078125] 1379: [discriminator loss: 0.540672, acc: 0.726562] [adversarial loss: 0.896220, acc: 0.390625] 1380: [discriminator loss: 0.538845, acc: 0.734375] [adversarial loss: 1.622484, acc: 0.125000] 1381: [discriminator loss: 0.589925, acc: 0.726562] [adversarial loss: 0.914446, acc: 0.359375] 1382: [discriminator loss: 0.510161, acc: 0.734375] [adversarial loss: 1.612961, acc: 0.109375] 1383: [discriminator loss: 0.488215, acc: 0.773438] [adversarial loss: 1.161865, acc: 0.203125] 1384: [discriminator loss: 0.462917, acc: 0.812500] [adversarial loss: 1.243234, acc: 0.156250] 1385: [discriminator loss: 0.503389, acc: 0.804688] [adversarial loss: 0.942634, acc: 0.343750] 1386: [discriminator loss: 0.508975, acc: 0.742188] [adversarial loss: 1.413856, acc: 0.171875] 1387: [discriminator loss: 0.548223, acc: 0.718750] [adversarial loss: 0.775229, acc: 0.406250] 1388: [discriminator loss: 0.494087, acc: 0.750000] [adversarial loss: 1.579229, acc: 0.125000] 1389: [discriminator loss: 0.496481, acc: 0.742188] [adversarial loss: 0.695251, acc: 0.593750] 1390: [discriminator loss: 0.545837, acc: 0.703125] [adversarial loss: 1.741772, acc: 0.062500] 1391: [discriminator loss: 0.598413, acc: 0.695312] [adversarial loss: 0.881435, acc: 0.406250] 1392: [discriminator loss: 0.525360, acc: 0.773438] [adversarial loss: 1.596705, acc: 0.046875] 1393: [discriminator loss: 0.487351, acc: 0.804688] [adversarial loss: 0.892695, acc: 0.390625] 1394: [discriminator loss: 0.574106, acc: 0.664062] [adversarial loss: 1.793290, acc: 0.046875] 1395: [discriminator loss: 0.619426, acc: 0.679688] [adversarial loss: 0.878139, acc: 0.437500] 1396: [discriminator loss: 0.566796, acc: 0.679688] [adversarial loss: 1.481563, acc: 0.125000] 1397: [discriminator loss: 0.498777, acc: 0.789062] [adversarial loss: 1.083329, acc: 0.265625] 1398: [discriminator loss: 0.491964, acc: 0.773438] [adversarial loss: 1.508331, acc: 0.078125] 1399: [discriminator loss: 0.550445, acc: 0.703125] [adversarial loss: 1.032998, acc: 0.312500] 1400: [discriminator loss: 0.539520, acc: 0.765625] [adversarial loss: 1.252840, acc: 0.250000] 1401: [discriminator loss: 0.573980, acc: 0.671875] [adversarial loss: 0.894172, acc: 0.390625] 1402: [discriminator loss: 0.541446, acc: 0.695312] [adversarial loss: 1.475914, acc: 0.156250] 1403: [discriminator loss: 0.529660, acc: 0.703125] [adversarial loss: 0.954970, acc: 0.375000] 1404: [discriminator loss: 0.562786, acc: 0.710938] [adversarial loss: 1.375872, acc: 0.140625] 1405: [discriminator loss: 0.517001, acc: 0.757812] [adversarial loss: 0.905776, acc: 0.375000] 1406: [discriminator loss: 0.512591, acc: 0.718750] [adversarial loss: 1.157083, acc: 0.203125] 1407: [discriminator loss: 0.463742, acc: 0.835938] [adversarial loss: 1.158278, acc: 0.234375] 1408: [discriminator loss: 0.520453, acc: 0.750000] [adversarial loss: 0.979451, acc: 0.328125] 1409: [discriminator loss: 0.540609, acc: 0.710938] [adversarial loss: 1.510756, acc: 0.109375] 1410: [discriminator loss: 0.488581, acc: 0.750000] [adversarial loss: 0.979535, acc: 0.375000] 1411: [discriminator loss: 0.551907, acc: 0.695312] [adversarial loss: 1.526520, acc: 0.109375] 1412: [discriminator loss: 0.509926, acc: 0.765625] [adversarial loss: 1.045760, acc: 0.250000] 1413: [discriminator loss: 0.524782, acc: 0.742188] [adversarial loss: 1.804504, acc: 0.078125] 1414: [discriminator loss: 0.546188, acc: 0.710938] [adversarial loss: 0.917161, acc: 0.421875] 1415: [discriminator loss: 0.513047, acc: 0.734375] [adversarial loss: 1.530282, acc: 0.062500] 1416: [discriminator loss: 0.501859, acc: 0.757812] [adversarial loss: 1.087239, acc: 0.234375] 1417: [discriminator loss: 0.530168, acc: 0.742188] [adversarial loss: 1.342269, acc: 0.093750] 1418: [discriminator loss: 0.539033, acc: 0.710938] [adversarial loss: 0.853541, acc: 0.468750] 1419: [discriminator loss: 0.557465, acc: 0.710938] [adversarial loss: 1.617916, acc: 0.093750] 1420: [discriminator loss: 0.498407, acc: 0.757812] [adversarial loss: 0.886631, acc: 0.453125] 1421: [discriminator loss: 0.570169, acc: 0.679688] [adversarial loss: 1.558227, acc: 0.078125] 1422: [discriminator loss: 0.544986, acc: 0.718750] [adversarial loss: 0.814994, acc: 0.437500] 1423: [discriminator loss: 0.588175, acc: 0.726562] [adversarial loss: 1.826450, acc: 0.031250] 1424: [discriminator loss: 0.550891, acc: 0.742188] [adversarial loss: 0.869259, acc: 0.453125] 1425: [discriminator loss: 0.529458, acc: 0.757812] [adversarial loss: 1.458222, acc: 0.140625] 1426: [discriminator loss: 0.523484, acc: 0.710938] [adversarial loss: 0.957844, acc: 0.375000] 1427: [discriminator loss: 0.517056, acc: 0.734375] [adversarial loss: 1.459628, acc: 0.187500] 1428: [discriminator loss: 0.527280, acc: 0.750000] [adversarial loss: 1.135788, acc: 0.250000] 1429: [discriminator loss: 0.494107, acc: 0.781250] [adversarial loss: 1.588444, acc: 0.078125] 1430: [discriminator loss: 0.562195, acc: 0.710938] [adversarial loss: 0.931912, acc: 0.343750] 1431: [discriminator loss: 0.568462, acc: 0.718750] [adversarial loss: 1.688407, acc: 0.031250] 1432: [discriminator loss: 0.497229, acc: 0.742188] [adversarial loss: 0.920523, acc: 0.406250] 1433: [discriminator loss: 0.471634, acc: 0.804688] [adversarial loss: 1.367891, acc: 0.156250] 1434: [discriminator loss: 0.500166, acc: 0.703125] [adversarial loss: 0.989903, acc: 0.281250] 1435: [discriminator loss: 0.457051, acc: 0.804688] [adversarial loss: 1.485914, acc: 0.093750] 1436: [discriminator loss: 0.507442, acc: 0.734375] [adversarial loss: 0.887543, acc: 0.437500] 1437: [discriminator loss: 0.514799, acc: 0.734375] [adversarial loss: 1.724221, acc: 0.046875] 1438: [discriminator loss: 0.578092, acc: 0.664062] [adversarial loss: 0.737279, acc: 0.515625] 1439: [discriminator loss: 0.531054, acc: 0.710938] [adversarial loss: 1.866300, acc: 0.000000] 1440: [discriminator loss: 0.581375, acc: 0.656250] [adversarial loss: 0.887422, acc: 0.375000] 1441: [discriminator loss: 0.596456, acc: 0.609375] [adversarial loss: 1.651313, acc: 0.046875] 1442: [discriminator loss: 0.555716, acc: 0.710938] [adversarial loss: 0.931586, acc: 0.343750] 1443: [discriminator loss: 0.510669, acc: 0.765625] [adversarial loss: 1.322250, acc: 0.109375] 1444: [discriminator loss: 0.441933, acc: 0.812500] [adversarial loss: 1.175915, acc: 0.187500] 1445: [discriminator loss: 0.508041, acc: 0.757812] [adversarial loss: 1.168531, acc: 0.265625] 1446: [discriminator loss: 0.424121, acc: 0.820312] [adversarial loss: 1.107823, acc: 0.359375] 1447: [discriminator loss: 0.565486, acc: 0.703125] [adversarial loss: 1.097843, acc: 0.390625] 1448: [discriminator loss: 0.488062, acc: 0.703125] [adversarial loss: 1.591614, acc: 0.046875] 1449: [discriminator loss: 0.595225, acc: 0.718750] [adversarial loss: 0.897444, acc: 0.437500] 1450: [discriminator loss: 0.577648, acc: 0.687500] [adversarial loss: 1.663622, acc: 0.046875] 1451: [discriminator loss: 0.615632, acc: 0.679688] [adversarial loss: 0.772553, acc: 0.500000] 1452: [discriminator loss: 0.577237, acc: 0.664062] [adversarial loss: 1.207703, acc: 0.140625] 1453: [discriminator loss: 0.478597, acc: 0.765625] [adversarial loss: 1.271147, acc: 0.187500] 1454: [discriminator loss: 0.507971, acc: 0.710938] [adversarial loss: 1.234583, acc: 0.203125] 1455: [discriminator loss: 0.486325, acc: 0.757812] [adversarial loss: 1.333955, acc: 0.171875] 1456: [discriminator loss: 0.469287, acc: 0.773438] [adversarial loss: 0.891464, acc: 0.375000] 1457: [discriminator loss: 0.531939, acc: 0.703125] [adversarial loss: 1.618690, acc: 0.140625] 1458: [discriminator loss: 0.569828, acc: 0.703125] [adversarial loss: 0.800921, acc: 0.484375] 1459: [discriminator loss: 0.574810, acc: 0.632812] [adversarial loss: 1.715358, acc: 0.093750] 1460: [discriminator loss: 0.594385, acc: 0.687500] [adversarial loss: 1.017203, acc: 0.312500] 1461: [discriminator loss: 0.531286, acc: 0.781250] [adversarial loss: 1.273252, acc: 0.203125] 1462: [discriminator loss: 0.503150, acc: 0.765625] [adversarial loss: 0.971680, acc: 0.281250] 1463: [discriminator loss: 0.513464, acc: 0.734375] [adversarial loss: 1.604784, acc: 0.109375] 1464: [discriminator loss: 0.526628, acc: 0.734375] [adversarial loss: 0.808736, acc: 0.421875] 1465: [discriminator loss: 0.626647, acc: 0.640625] [adversarial loss: 1.774537, acc: 0.046875] 1466: [discriminator loss: 0.501473, acc: 0.789062] [adversarial loss: 0.913692, acc: 0.390625] 1467: [discriminator loss: 0.489607, acc: 0.757812] [adversarial loss: 1.389684, acc: 0.125000] 1468: [discriminator loss: 0.584848, acc: 0.703125] [adversarial loss: 1.090618, acc: 0.250000] 1469: [discriminator loss: 0.510149, acc: 0.750000] [adversarial loss: 1.401314, acc: 0.140625] 1470: [discriminator loss: 0.517847, acc: 0.750000] [adversarial loss: 1.115200, acc: 0.250000] 1471: [discriminator loss: 0.511223, acc: 0.765625] [adversarial loss: 1.258571, acc: 0.140625] 1472: [discriminator loss: 0.583355, acc: 0.710938] [adversarial loss: 1.237433, acc: 0.140625] 1473: [discriminator loss: 0.500496, acc: 0.773438] [adversarial loss: 1.250778, acc: 0.234375] 1474: [discriminator loss: 0.519359, acc: 0.750000] [adversarial loss: 1.225510, acc: 0.187500] 1475: [discriminator loss: 0.538006, acc: 0.718750] [adversarial loss: 1.512448, acc: 0.093750] 1476: [discriminator loss: 0.539456, acc: 0.703125] [adversarial loss: 0.797877, acc: 0.500000] 1477: [discriminator loss: 0.511923, acc: 0.718750] [adversarial loss: 1.609861, acc: 0.125000] 1478: [discriminator loss: 0.589051, acc: 0.687500] [adversarial loss: 0.833502, acc: 0.453125] 1479: [discriminator loss: 0.590132, acc: 0.695312] [adversarial loss: 1.594007, acc: 0.062500] 1480: [discriminator loss: 0.537800, acc: 0.710938] [adversarial loss: 0.877364, acc: 0.406250] 1481: [discriminator loss: 0.506453, acc: 0.734375] [adversarial loss: 1.809879, acc: 0.031250] 1482: [discriminator loss: 0.525701, acc: 0.742188] [adversarial loss: 0.944096, acc: 0.312500] 1483: [discriminator loss: 0.440926, acc: 0.820312] [adversarial loss: 1.374190, acc: 0.125000] 1484: [discriminator loss: 0.449055, acc: 0.781250] [adversarial loss: 1.147710, acc: 0.218750] 1485: [discriminator loss: 0.539313, acc: 0.742188] [adversarial loss: 0.978388, acc: 0.375000] 1486: [discriminator loss: 0.472904, acc: 0.750000] [adversarial loss: 1.333613, acc: 0.156250] 1487: [discriminator loss: 0.572521, acc: 0.695312] [adversarial loss: 1.166681, acc: 0.265625] 1488: [discriminator loss: 0.568978, acc: 0.710938] [adversarial loss: 1.565880, acc: 0.109375] 1489: [discriminator loss: 0.501492, acc: 0.765625] [adversarial loss: 0.925007, acc: 0.328125] 1490: [discriminator loss: 0.564094, acc: 0.687500] [adversarial loss: 1.855754, acc: 0.046875] 1491: [discriminator loss: 0.534807, acc: 0.765625] [adversarial loss: 0.876723, acc: 0.343750] 1492: [discriminator loss: 0.532884, acc: 0.710938] [adversarial loss: 1.847054, acc: 0.109375] 1493: [discriminator loss: 0.521470, acc: 0.718750] [adversarial loss: 0.897576, acc: 0.406250] 1494: [discriminator loss: 0.565131, acc: 0.734375] [adversarial loss: 1.488826, acc: 0.109375] 1495: [discriminator loss: 0.549109, acc: 0.718750] [adversarial loss: 1.116054, acc: 0.187500] 1496: [discriminator loss: 0.461824, acc: 0.796875] [adversarial loss: 1.411064, acc: 0.062500] 1497: [discriminator loss: 0.556008, acc: 0.710938] [adversarial loss: 1.022813, acc: 0.375000] 1498: [discriminator loss: 0.487621, acc: 0.781250] [adversarial loss: 1.285740, acc: 0.234375] 1499: [discriminator loss: 0.472123, acc: 0.804688] [adversarial loss: 1.062053, acc: 0.281250] 1500: [discriminator loss: 0.546077, acc: 0.742188] [adversarial loss: 1.632262, acc: 0.125000] 1501: [discriminator loss: 0.448474, acc: 0.773438] [adversarial loss: 0.921371, acc: 0.359375] 1502: [discriminator loss: 0.509513, acc: 0.734375] [adversarial loss: 1.728674, acc: 0.078125] 1503: [discriminator loss: 0.515826, acc: 0.726562] [adversarial loss: 0.844352, acc: 0.531250] 1504: [discriminator loss: 0.560235, acc: 0.718750] [adversarial loss: 1.514679, acc: 0.031250] 1505: [discriminator loss: 0.541330, acc: 0.718750] [adversarial loss: 0.894950, acc: 0.359375] 1506: [discriminator loss: 0.540006, acc: 0.757812] [adversarial loss: 1.266108, acc: 0.171875] 1507: [discriminator loss: 0.539952, acc: 0.765625] [adversarial loss: 1.508978, acc: 0.093750] 1508: [discriminator loss: 0.491534, acc: 0.812500] [adversarial loss: 1.078218, acc: 0.328125] 1509: [discriminator loss: 0.529917, acc: 0.742188] [adversarial loss: 1.400408, acc: 0.156250] 1510: [discriminator loss: 0.514820, acc: 0.750000] [adversarial loss: 1.008768, acc: 0.296875] 1511: [discriminator loss: 0.492473, acc: 0.742188] [adversarial loss: 1.423208, acc: 0.187500] 1512: [discriminator loss: 0.502616, acc: 0.757812] [adversarial loss: 1.132078, acc: 0.140625] 1513: [discriminator loss: 0.497075, acc: 0.734375] [adversarial loss: 1.547605, acc: 0.062500] 1514: [discriminator loss: 0.434442, acc: 0.828125] [adversarial loss: 0.710687, acc: 0.515625] 1515: [discriminator loss: 0.593111, acc: 0.640625] [adversarial loss: 1.778444, acc: 0.046875] 1516: [discriminator loss: 0.495867, acc: 0.765625] [adversarial loss: 0.991965, acc: 0.328125] 1517: [discriminator loss: 0.478335, acc: 0.773438] [adversarial loss: 1.602931, acc: 0.062500] 1518: [discriminator loss: 0.513760, acc: 0.750000] [adversarial loss: 1.173323, acc: 0.250000] 1519: [discriminator loss: 0.515231, acc: 0.726562] [adversarial loss: 1.083620, acc: 0.218750] 1520: [discriminator loss: 0.452021, acc: 0.812500] [adversarial loss: 1.550209, acc: 0.125000] 1521: [discriminator loss: 0.499318, acc: 0.710938] [adversarial loss: 1.129778, acc: 0.312500] 1522: [discriminator loss: 0.568389, acc: 0.664062] [adversarial loss: 1.443243, acc: 0.187500] 1523: [discriminator loss: 0.512995, acc: 0.750000] [adversarial loss: 1.070841, acc: 0.187500] 1524: [discriminator loss: 0.505759, acc: 0.773438] [adversarial loss: 1.174247, acc: 0.218750] 1525: [discriminator loss: 0.455847, acc: 0.781250] [adversarial loss: 1.210882, acc: 0.265625] 1526: [discriminator loss: 0.591856, acc: 0.617188] [adversarial loss: 1.658497, acc: 0.125000] 1527: [discriminator loss: 0.581869, acc: 0.664062] [adversarial loss: 1.130063, acc: 0.250000] 1528: [discriminator loss: 0.469886, acc: 0.757812] [adversarial loss: 1.310218, acc: 0.218750] 1529: [discriminator loss: 0.463765, acc: 0.789062] [adversarial loss: 1.474474, acc: 0.187500] 1530: [discriminator loss: 0.584083, acc: 0.726562] [adversarial loss: 1.188191, acc: 0.234375] 1531: [discriminator loss: 0.541404, acc: 0.750000] [adversarial loss: 1.168873, acc: 0.218750] 1532: [discriminator loss: 0.500337, acc: 0.781250] [adversarial loss: 1.076138, acc: 0.234375] 1533: [discriminator loss: 0.528049, acc: 0.703125] [adversarial loss: 1.713191, acc: 0.078125] 1534: [discriminator loss: 0.576737, acc: 0.695312] [adversarial loss: 0.986397, acc: 0.359375] 1535: [discriminator loss: 0.520194, acc: 0.734375] [adversarial loss: 2.017386, acc: 0.046875] 1536: [discriminator loss: 0.592423, acc: 0.710938] [adversarial loss: 0.798597, acc: 0.468750] 1537: [discriminator loss: 0.600234, acc: 0.695312] [adversarial loss: 1.635648, acc: 0.078125] 1538: [discriminator loss: 0.527038, acc: 0.710938] [adversarial loss: 0.822650, acc: 0.437500] 1539: [discriminator loss: 0.519546, acc: 0.742188] [adversarial loss: 1.520349, acc: 0.109375] 1540: [discriminator loss: 0.471345, acc: 0.781250] [adversarial loss: 1.044960, acc: 0.328125] 1541: [discriminator loss: 0.472324, acc: 0.843750] [adversarial loss: 1.412382, acc: 0.156250] 1542: [discriminator loss: 0.410837, acc: 0.835938] [adversarial loss: 1.384475, acc: 0.140625] 1543: [discriminator loss: 0.480164, acc: 0.796875] [adversarial loss: 1.474563, acc: 0.109375] 1544: [discriminator loss: 0.548955, acc: 0.703125] [adversarial loss: 0.919504, acc: 0.328125] 1545: [discriminator loss: 0.495487, acc: 0.765625] [adversarial loss: 1.795856, acc: 0.031250] 1546: [discriminator loss: 0.488281, acc: 0.750000] [adversarial loss: 0.944203, acc: 0.375000] 1547: [discriminator loss: 0.544264, acc: 0.765625] [adversarial loss: 1.441503, acc: 0.140625] 1548: [discriminator loss: 0.591437, acc: 0.710938] [adversarial loss: 0.988239, acc: 0.390625] 1549: [discriminator loss: 0.578001, acc: 0.671875] [adversarial loss: 1.474219, acc: 0.109375] 1550: [discriminator loss: 0.510705, acc: 0.750000] [adversarial loss: 1.266409, acc: 0.281250] 1551: [discriminator loss: 0.534943, acc: 0.718750] [adversarial loss: 1.719405, acc: 0.062500] 1552: [discriminator loss: 0.470932, acc: 0.812500] [adversarial loss: 1.005101, acc: 0.296875] 1553: [discriminator loss: 0.536117, acc: 0.726562] [adversarial loss: 1.258624, acc: 0.250000] 1554: [discriminator loss: 0.543739, acc: 0.781250] [adversarial loss: 1.183208, acc: 0.281250] 1555: [discriminator loss: 0.481090, acc: 0.781250] [adversarial loss: 1.387589, acc: 0.156250] 1556: [discriminator loss: 0.485538, acc: 0.796875] [adversarial loss: 1.316418, acc: 0.218750] 1557: [discriminator loss: 0.544275, acc: 0.695312] [adversarial loss: 1.065592, acc: 0.328125] 1558: [discriminator loss: 0.548038, acc: 0.703125] [adversarial loss: 1.708467, acc: 0.046875] 1559: [discriminator loss: 0.517053, acc: 0.750000] [adversarial loss: 0.831506, acc: 0.421875] 1560: [discriminator loss: 0.526673, acc: 0.750000] [adversarial loss: 1.741177, acc: 0.078125] 1561: [discriminator loss: 0.542206, acc: 0.710938] [adversarial loss: 0.860586, acc: 0.390625] 1562: [discriminator loss: 0.565330, acc: 0.718750] [adversarial loss: 1.728847, acc: 0.140625] 1563: [discriminator loss: 0.591507, acc: 0.679688] [adversarial loss: 0.695746, acc: 0.484375] 1564: [discriminator loss: 0.535397, acc: 0.703125] [adversarial loss: 1.501109, acc: 0.140625] 1565: [discriminator loss: 0.582183, acc: 0.695312] [adversarial loss: 1.089554, acc: 0.265625] 1566: [discriminator loss: 0.519925, acc: 0.757812] [adversarial loss: 1.402340, acc: 0.234375] 1567: [discriminator loss: 0.576329, acc: 0.687500] [adversarial loss: 1.107450, acc: 0.203125] 1568: [discriminator loss: 0.504252, acc: 0.773438] [adversarial loss: 1.596110, acc: 0.046875] 1569: [discriminator loss: 0.558732, acc: 0.710938] [adversarial loss: 1.059062, acc: 0.250000] 1570: [discriminator loss: 0.481886, acc: 0.773438] [adversarial loss: 1.232027, acc: 0.171875] 1571: [discriminator loss: 0.463745, acc: 0.804688] [adversarial loss: 1.243941, acc: 0.203125] 1572: [discriminator loss: 0.405478, acc: 0.867188] [adversarial loss: 1.412570, acc: 0.140625] 1573: [discriminator loss: 0.520367, acc: 0.695312] [adversarial loss: 0.992717, acc: 0.328125] 1574: [discriminator loss: 0.475105, acc: 0.773438] [adversarial loss: 1.537118, acc: 0.093750] 1575: [discriminator loss: 0.548988, acc: 0.718750] [adversarial loss: 1.154362, acc: 0.203125] 1576: [discriminator loss: 0.481125, acc: 0.757812] [adversarial loss: 1.498144, acc: 0.156250] 1577: [discriminator loss: 0.587795, acc: 0.648438] [adversarial loss: 0.670255, acc: 0.593750] 1578: [discriminator loss: 0.588641, acc: 0.656250] [adversarial loss: 1.770589, acc: 0.031250] 1579: [discriminator loss: 0.559827, acc: 0.742188] [adversarial loss: 0.895958, acc: 0.390625] 1580: [discriminator loss: 0.500190, acc: 0.750000] [adversarial loss: 1.859237, acc: 0.031250] 1581: [discriminator loss: 0.611988, acc: 0.679688] [adversarial loss: 0.771502, acc: 0.453125] 1582: [discriminator loss: 0.486376, acc: 0.757812] [adversarial loss: 1.372302, acc: 0.203125] 1583: [discriminator loss: 0.479714, acc: 0.765625] [adversarial loss: 1.044231, acc: 0.281250] 1584: [discriminator loss: 0.460991, acc: 0.820312] [adversarial loss: 1.327263, acc: 0.203125] 1585: [discriminator loss: 0.457039, acc: 0.804688] [adversarial loss: 1.358627, acc: 0.203125] 1586: [discriminator loss: 0.525915, acc: 0.765625] [adversarial loss: 0.904723, acc: 0.453125] 1587: [discriminator loss: 0.549208, acc: 0.679688] [adversarial loss: 1.667441, acc: 0.125000] 1588: [discriminator loss: 0.531814, acc: 0.726562] [adversarial loss: 1.010534, acc: 0.312500] 1589: [discriminator loss: 0.502709, acc: 0.773438] [adversarial loss: 1.527470, acc: 0.156250] 1590: [discriminator loss: 0.492360, acc: 0.734375] [adversarial loss: 0.925878, acc: 0.406250] 1591: [discriminator loss: 0.511615, acc: 0.726562] [adversarial loss: 1.481730, acc: 0.125000] 1592: [discriminator loss: 0.582423, acc: 0.710938] [adversarial loss: 1.215054, acc: 0.265625] 1593: [discriminator loss: 0.501118, acc: 0.757812] [adversarial loss: 1.391240, acc: 0.140625] 1594: [discriminator loss: 0.511639, acc: 0.757812] [adversarial loss: 2.027578, acc: 0.046875] 1595: [discriminator loss: 0.482838, acc: 0.765625] [adversarial loss: 0.916907, acc: 0.390625] 1596: [discriminator loss: 0.524100, acc: 0.781250] [adversarial loss: 1.778729, acc: 0.093750] 1597: [discriminator loss: 0.561987, acc: 0.718750] [adversarial loss: 0.805079, acc: 0.453125] 1598: [discriminator loss: 0.601858, acc: 0.718750] [adversarial loss: 1.657218, acc: 0.093750] 1599: [discriminator loss: 0.551402, acc: 0.726562] [adversarial loss: 0.817265, acc: 0.437500] 1600: [discriminator loss: 0.531354, acc: 0.750000] [adversarial loss: 1.378489, acc: 0.093750] 1601: [discriminator loss: 0.432559, acc: 0.812500] [adversarial loss: 0.955669, acc: 0.328125] 1602: [discriminator loss: 0.533096, acc: 0.726562] [adversarial loss: 1.338208, acc: 0.187500] 1603: [discriminator loss: 0.492251, acc: 0.750000] [adversarial loss: 1.220119, acc: 0.234375] 1604: [discriminator loss: 0.538325, acc: 0.710938] [adversarial loss: 1.097758, acc: 0.281250] 1605: [discriminator loss: 0.482122, acc: 0.773438] [adversarial loss: 0.997940, acc: 0.359375] 1606: [discriminator loss: 0.461055, acc: 0.796875] [adversarial loss: 1.427662, acc: 0.171875] 1607: [discriminator loss: 0.476032, acc: 0.789062] [adversarial loss: 1.290383, acc: 0.218750] 1608: [discriminator loss: 0.415331, acc: 0.796875] [adversarial loss: 1.558598, acc: 0.171875] 1609: [discriminator loss: 0.525792, acc: 0.757812] [adversarial loss: 0.950227, acc: 0.296875] 1610: [discriminator loss: 0.473340, acc: 0.804688] [adversarial loss: 1.635050, acc: 0.062500] 1611: [discriminator loss: 0.507123, acc: 0.750000] [adversarial loss: 0.815427, acc: 0.531250] 1612: [discriminator loss: 0.603565, acc: 0.671875] [adversarial loss: 1.943858, acc: 0.015625] 1613: [discriminator loss: 0.622682, acc: 0.648438] [adversarial loss: 0.662081, acc: 0.562500] 1614: [discriminator loss: 0.593234, acc: 0.648438] [adversarial loss: 2.032779, acc: 0.031250] 1615: [discriminator loss: 0.531788, acc: 0.718750] [adversarial loss: 0.950117, acc: 0.328125] 1616: [discriminator loss: 0.524404, acc: 0.703125] [adversarial loss: 1.231064, acc: 0.234375] 1617: [discriminator loss: 0.487114, acc: 0.757812] [adversarial loss: 1.041638, acc: 0.296875] 1618: [discriminator loss: 0.455697, acc: 0.789062] [adversarial loss: 1.161915, acc: 0.281250] 1619: [discriminator loss: 0.533082, acc: 0.773438] [adversarial loss: 1.266122, acc: 0.171875] 1620: [discriminator loss: 0.465998, acc: 0.750000] [adversarial loss: 1.058544, acc: 0.343750] 1621: [discriminator loss: 0.521910, acc: 0.710938] [adversarial loss: 1.384894, acc: 0.171875] 1622: [discriminator loss: 0.428184, acc: 0.843750] [adversarial loss: 1.203650, acc: 0.171875] 1623: [discriminator loss: 0.452238, acc: 0.796875] [adversarial loss: 1.285691, acc: 0.203125] 1624: [discriminator loss: 0.439295, acc: 0.828125] [adversarial loss: 1.213531, acc: 0.203125] 1625: [discriminator loss: 0.513487, acc: 0.781250] [adversarial loss: 1.225093, acc: 0.203125] 1626: [discriminator loss: 0.543223, acc: 0.703125] [adversarial loss: 1.341350, acc: 0.109375] 1627: [discriminator loss: 0.431734, acc: 0.773438] [adversarial loss: 1.276653, acc: 0.218750] 1628: [discriminator loss: 0.527194, acc: 0.679688] [adversarial loss: 1.477868, acc: 0.156250] 1629: [discriminator loss: 0.464663, acc: 0.773438] [adversarial loss: 0.891782, acc: 0.406250] 1630: [discriminator loss: 0.482247, acc: 0.812500] [adversarial loss: 1.526461, acc: 0.125000] 1631: [discriminator loss: 0.527483, acc: 0.750000] [adversarial loss: 0.936103, acc: 0.312500] 1632: [discriminator loss: 0.525580, acc: 0.734375] [adversarial loss: 1.635169, acc: 0.125000] 1633: [discriminator loss: 0.495543, acc: 0.757812] [adversarial loss: 1.304794, acc: 0.171875] 1634: [discriminator loss: 0.512590, acc: 0.773438] [adversarial loss: 1.040675, acc: 0.328125] 1635: [discriminator loss: 0.484874, acc: 0.757812] [adversarial loss: 1.561480, acc: 0.140625] 1636: [discriminator loss: 0.462909, acc: 0.742188] [adversarial loss: 0.889886, acc: 0.375000] 1637: [discriminator loss: 0.501001, acc: 0.726562] [adversarial loss: 1.954763, acc: 0.093750] 1638: [discriminator loss: 0.536674, acc: 0.734375] [adversarial loss: 0.608353, acc: 0.640625] 1639: [discriminator loss: 0.703750, acc: 0.648438] [adversarial loss: 1.901884, acc: 0.109375] 1640: [discriminator loss: 0.600860, acc: 0.710938] [adversarial loss: 0.907504, acc: 0.343750] 1641: [discriminator loss: 0.551029, acc: 0.734375] [adversarial loss: 1.434067, acc: 0.156250] 1642: [discriminator loss: 0.468933, acc: 0.804688] [adversarial loss: 1.145125, acc: 0.265625] 1643: [discriminator loss: 0.535128, acc: 0.710938] [adversarial loss: 1.458258, acc: 0.187500] 1644: [discriminator loss: 0.553803, acc: 0.710938] [adversarial loss: 0.922396, acc: 0.421875] 1645: [discriminator loss: 0.519865, acc: 0.750000] [adversarial loss: 1.528960, acc: 0.140625] 1646: [discriminator loss: 0.506375, acc: 0.726562] [adversarial loss: 0.925234, acc: 0.375000] 1647: [discriminator loss: 0.522999, acc: 0.734375] [adversarial loss: 1.601582, acc: 0.062500] 1648: [discriminator loss: 0.574093, acc: 0.695312] [adversarial loss: 1.068642, acc: 0.281250] 1649: [discriminator loss: 0.497506, acc: 0.781250] [adversarial loss: 1.445181, acc: 0.140625] 1650: [discriminator loss: 0.462826, acc: 0.765625] [adversarial loss: 1.280570, acc: 0.250000] 1651: [discriminator loss: 0.429398, acc: 0.789062] [adversarial loss: 1.319600, acc: 0.203125] 1652: [discriminator loss: 0.452858, acc: 0.820312] [adversarial loss: 1.344776, acc: 0.156250] 1653: [discriminator loss: 0.477305, acc: 0.765625] [adversarial loss: 1.248395, acc: 0.250000] 1654: [discriminator loss: 0.450497, acc: 0.765625] [adversarial loss: 1.729178, acc: 0.093750] 1655: [discriminator loss: 0.492826, acc: 0.781250] [adversarial loss: 0.998865, acc: 0.375000] 1656: [discriminator loss: 0.496544, acc: 0.773438] [adversarial loss: 1.828682, acc: 0.109375] 1657: [discriminator loss: 0.574986, acc: 0.679688] [adversarial loss: 0.638509, acc: 0.578125] 1658: [discriminator loss: 0.569868, acc: 0.671875] [adversarial loss: 1.583938, acc: 0.125000] 1659: [discriminator loss: 0.483940, acc: 0.757812] [adversarial loss: 1.156588, acc: 0.234375] 1660: [discriminator loss: 0.481681, acc: 0.765625] [adversarial loss: 1.571719, acc: 0.078125] 1661: [discriminator loss: 0.545208, acc: 0.734375] [adversarial loss: 0.883970, acc: 0.484375] 1662: [discriminator loss: 0.654255, acc: 0.640625] [adversarial loss: 1.885345, acc: 0.062500] 1663: [discriminator loss: 0.544317, acc: 0.679688] [adversarial loss: 0.841585, acc: 0.468750] 1664: [discriminator loss: 0.580517, acc: 0.679688] [adversarial loss: 1.650610, acc: 0.046875] 1665: [discriminator loss: 0.549199, acc: 0.742188] [adversarial loss: 1.160496, acc: 0.328125] 1666: [discriminator loss: 0.513580, acc: 0.726562] [adversarial loss: 1.729426, acc: 0.109375] 1667: [discriminator loss: 0.508768, acc: 0.757812] [adversarial loss: 1.070624, acc: 0.328125] 1668: [discriminator loss: 0.518768, acc: 0.757812] [adversarial loss: 1.699610, acc: 0.093750] 1669: [discriminator loss: 0.536167, acc: 0.757812] [adversarial loss: 0.921392, acc: 0.390625] 1670: [discriminator loss: 0.578009, acc: 0.679688] [adversarial loss: 1.815355, acc: 0.015625] 1671: [discriminator loss: 0.521916, acc: 0.750000] [adversarial loss: 1.024177, acc: 0.250000] 1672: [discriminator loss: 0.530300, acc: 0.757812] [adversarial loss: 1.313088, acc: 0.187500] 1673: [discriminator loss: 0.495853, acc: 0.781250] [adversarial loss: 1.304058, acc: 0.250000] 1674: [discriminator loss: 0.476391, acc: 0.796875] [adversarial loss: 1.155916, acc: 0.218750] 1675: [discriminator loss: 0.431048, acc: 0.851562] [adversarial loss: 1.483421, acc: 0.093750] 1676: [discriminator loss: 0.452842, acc: 0.789062] [adversarial loss: 1.214238, acc: 0.218750] 1677: [discriminator loss: 0.476059, acc: 0.789062] [adversarial loss: 1.722003, acc: 0.062500] 1678: [discriminator loss: 0.525102, acc: 0.718750] [adversarial loss: 0.844218, acc: 0.468750] 1679: [discriminator loss: 0.532900, acc: 0.773438] [adversarial loss: 1.542470, acc: 0.109375] 1680: [discriminator loss: 0.493714, acc: 0.742188] [adversarial loss: 0.915148, acc: 0.437500] 1681: [discriminator loss: 0.510782, acc: 0.757812] [adversarial loss: 1.663238, acc: 0.109375] 1682: [discriminator loss: 0.508868, acc: 0.734375] [adversarial loss: 1.061297, acc: 0.359375] 1683: [discriminator loss: 0.571767, acc: 0.710938] [adversarial loss: 1.711128, acc: 0.046875] 1684: [discriminator loss: 0.627231, acc: 0.671875] [adversarial loss: 1.246144, acc: 0.203125] 1685: [discriminator loss: 0.537088, acc: 0.695312] [adversarial loss: 1.236121, acc: 0.281250] 1686: [discriminator loss: 0.489415, acc: 0.750000] [adversarial loss: 1.043027, acc: 0.328125] 1687: [discriminator loss: 0.528736, acc: 0.734375] [adversarial loss: 1.532479, acc: 0.125000] 1688: [discriminator loss: 0.488147, acc: 0.742188] [adversarial loss: 0.976562, acc: 0.328125] 1689: [discriminator loss: 0.552732, acc: 0.757812] [adversarial loss: 1.583950, acc: 0.093750] 1690: [discriminator loss: 0.516490, acc: 0.679688] [adversarial loss: 0.730019, acc: 0.562500] 1691: [discriminator loss: 0.557441, acc: 0.695312] [adversarial loss: 1.770059, acc: 0.062500] 1692: [discriminator loss: 0.506250, acc: 0.726562] [adversarial loss: 0.981257, acc: 0.312500] 1693: [discriminator loss: 0.538931, acc: 0.734375] [adversarial loss: 1.121639, acc: 0.234375] 1694: [discriminator loss: 0.479383, acc: 0.781250] [adversarial loss: 1.069416, acc: 0.328125] 1695: [discriminator loss: 0.529856, acc: 0.773438] [adversarial loss: 1.374458, acc: 0.125000] 1696: [discriminator loss: 0.492045, acc: 0.765625] [adversarial loss: 1.097754, acc: 0.234375] 1697: [discriminator loss: 0.500756, acc: 0.781250] [adversarial loss: 1.527936, acc: 0.046875] 1698: [discriminator loss: 0.464474, acc: 0.789062] [adversarial loss: 1.035041, acc: 0.375000] 1699: [discriminator loss: 0.531677, acc: 0.742188] [adversarial loss: 1.708326, acc: 0.093750] 1700: [discriminator loss: 0.505435, acc: 0.781250] [adversarial loss: 0.767567, acc: 0.546875] 1701: [discriminator loss: 0.572050, acc: 0.726562] [adversarial loss: 2.133729, acc: 0.015625] 1702: [discriminator loss: 0.496524, acc: 0.757812] [adversarial loss: 1.264160, acc: 0.203125] 1703: [discriminator loss: 0.517383, acc: 0.750000] [adversarial loss: 1.341717, acc: 0.156250] 1704: [discriminator loss: 0.462075, acc: 0.796875] [adversarial loss: 1.214903, acc: 0.156250] 1705: [discriminator loss: 0.546763, acc: 0.734375] [adversarial loss: 1.172482, acc: 0.234375] 1706: [discriminator loss: 0.525910, acc: 0.757812] [adversarial loss: 1.562788, acc: 0.109375] 1707: [discriminator loss: 0.484270, acc: 0.773438] [adversarial loss: 1.225088, acc: 0.218750] 1708: [discriminator loss: 0.500979, acc: 0.734375] [adversarial loss: 1.560204, acc: 0.046875] 1709: [discriminator loss: 0.544922, acc: 0.726562] [adversarial loss: 1.249652, acc: 0.218750] 1710: [discriminator loss: 0.568176, acc: 0.718750] [adversarial loss: 1.373927, acc: 0.171875] 1711: [discriminator loss: 0.466938, acc: 0.804688] [adversarial loss: 1.493702, acc: 0.125000] 1712: [discriminator loss: 0.543555, acc: 0.710938] [adversarial loss: 0.913813, acc: 0.359375] 1713: [discriminator loss: 0.559901, acc: 0.710938] [adversarial loss: 1.908916, acc: 0.046875] 1714: [discriminator loss: 0.523779, acc: 0.757812] [adversarial loss: 0.913852, acc: 0.375000] 1715: [discriminator loss: 0.508076, acc: 0.757812] [adversarial loss: 1.729933, acc: 0.046875] 1716: [discriminator loss: 0.527674, acc: 0.765625] [adversarial loss: 1.099126, acc: 0.234375] 1717: [discriminator loss: 0.502707, acc: 0.742188] [adversarial loss: 1.494209, acc: 0.109375] 1718: [discriminator loss: 0.521503, acc: 0.742188] [adversarial loss: 1.099087, acc: 0.203125] 1719: [discriminator loss: 0.590578, acc: 0.695312] [adversarial loss: 1.479737, acc: 0.140625] 1720: [discriminator loss: 0.585022, acc: 0.679688] [adversarial loss: 1.108433, acc: 0.281250] 1721: [discriminator loss: 0.452715, acc: 0.789062] [adversarial loss: 1.177720, acc: 0.265625] 1722: [discriminator loss: 0.502574, acc: 0.789062] [adversarial loss: 1.109965, acc: 0.234375] 1723: [discriminator loss: 0.456185, acc: 0.804688] [adversarial loss: 1.478137, acc: 0.109375] 1724: [discriminator loss: 0.507924, acc: 0.750000] [adversarial loss: 1.101897, acc: 0.312500] 1725: [discriminator loss: 0.591658, acc: 0.679688] [adversarial loss: 1.368748, acc: 0.171875] 1726: [discriminator loss: 0.526384, acc: 0.734375] [adversarial loss: 1.009068, acc: 0.343750] 1727: [discriminator loss: 0.487143, acc: 0.742188] [adversarial loss: 1.750407, acc: 0.062500] 1728: [discriminator loss: 0.574462, acc: 0.742188] [adversarial loss: 0.802749, acc: 0.453125] 1729: [discriminator loss: 0.471385, acc: 0.750000] [adversarial loss: 1.679670, acc: 0.046875] 1730: [discriminator loss: 0.469588, acc: 0.757812] [adversarial loss: 1.314901, acc: 0.171875] 1731: [discriminator loss: 0.484746, acc: 0.781250] [adversarial loss: 1.322805, acc: 0.234375] 1732: [discriminator loss: 0.538948, acc: 0.695312] [adversarial loss: 1.223217, acc: 0.250000] 1733: [discriminator loss: 0.497181, acc: 0.750000] [adversarial loss: 1.700985, acc: 0.109375] 1734: [discriminator loss: 0.503990, acc: 0.757812] [adversarial loss: 1.142334, acc: 0.203125] 1735: [discriminator loss: 0.484264, acc: 0.781250] [adversarial loss: 1.790110, acc: 0.062500] 1736: [discriminator loss: 0.515658, acc: 0.757812] [adversarial loss: 0.998378, acc: 0.375000] 1737: [discriminator loss: 0.558294, acc: 0.703125] [adversarial loss: 1.397905, acc: 0.156250] 1738: [discriminator loss: 0.445282, acc: 0.804688] [adversarial loss: 0.944130, acc: 0.312500] 1739: [discriminator loss: 0.519115, acc: 0.750000] [adversarial loss: 1.594253, acc: 0.125000] 1740: [discriminator loss: 0.455089, acc: 0.789062] [adversarial loss: 1.091347, acc: 0.218750] 1741: [discriminator loss: 0.552650, acc: 0.726562] [adversarial loss: 1.885145, acc: 0.078125] 1742: [discriminator loss: 0.534477, acc: 0.750000] [adversarial loss: 0.711807, acc: 0.593750] 1743: [discriminator loss: 0.529345, acc: 0.742188] [adversarial loss: 2.125031, acc: 0.031250] 1744: [discriminator loss: 0.567374, acc: 0.726562] [adversarial loss: 0.974979, acc: 0.359375] 1745: [discriminator loss: 0.516477, acc: 0.718750] [adversarial loss: 1.503441, acc: 0.171875] 1746: [discriminator loss: 0.425696, acc: 0.781250] [adversarial loss: 1.309490, acc: 0.234375] 1747: [discriminator loss: 0.518612, acc: 0.734375] [adversarial loss: 1.416292, acc: 0.171875] 1748: [discriminator loss: 0.479415, acc: 0.781250] [adversarial loss: 1.559634, acc: 0.125000] 1749: [discriminator loss: 0.458939, acc: 0.765625] [adversarial loss: 1.251584, acc: 0.156250] 1750: [discriminator loss: 0.560669, acc: 0.695312] [adversarial loss: 1.583106, acc: 0.078125] 1751: [discriminator loss: 0.455838, acc: 0.804688] [adversarial loss: 1.073482, acc: 0.343750] 1752: [discriminator loss: 0.541034, acc: 0.710938] [adversarial loss: 1.769687, acc: 0.109375] 1753: [discriminator loss: 0.584420, acc: 0.703125] [adversarial loss: 1.033604, acc: 0.250000] 1754: [discriminator loss: 0.467461, acc: 0.804688] [adversarial loss: 1.546244, acc: 0.062500] 1755: [discriminator loss: 0.480861, acc: 0.781250] [adversarial loss: 0.952108, acc: 0.375000] 1756: [discriminator loss: 0.513117, acc: 0.734375] [adversarial loss: 1.460047, acc: 0.250000] 1757: [discriminator loss: 0.548598, acc: 0.710938] [adversarial loss: 1.244691, acc: 0.171875] 1758: [discriminator loss: 0.468912, acc: 0.796875] [adversarial loss: 1.531304, acc: 0.109375] 1759: [discriminator loss: 0.531597, acc: 0.734375] [adversarial loss: 1.349406, acc: 0.250000] 1760: [discriminator loss: 0.565875, acc: 0.656250] [adversarial loss: 1.166436, acc: 0.250000] 1761: [discriminator loss: 0.467373, acc: 0.781250] [adversarial loss: 1.066781, acc: 0.281250] 1762: [discriminator loss: 0.451648, acc: 0.804688] [adversarial loss: 1.985528, acc: 0.000000] 1763: [discriminator loss: 0.519592, acc: 0.718750] [adversarial loss: 0.815723, acc: 0.343750] 1764: [discriminator loss: 0.568769, acc: 0.703125] [adversarial loss: 1.653584, acc: 0.093750] 1765: [discriminator loss: 0.481806, acc: 0.773438] [adversarial loss: 0.891522, acc: 0.390625] 1766: [discriminator loss: 0.603329, acc: 0.687500] [adversarial loss: 1.753628, acc: 0.046875] 1767: [discriminator loss: 0.507694, acc: 0.773438] [adversarial loss: 0.781686, acc: 0.515625] 1768: [discriminator loss: 0.498059, acc: 0.734375] [adversarial loss: 1.434028, acc: 0.203125] 1769: [discriminator loss: 0.501860, acc: 0.757812] [adversarial loss: 1.149524, acc: 0.296875] 1770: [discriminator loss: 0.503866, acc: 0.742188] [adversarial loss: 1.555781, acc: 0.093750] 1771: [discriminator loss: 0.455154, acc: 0.804688] [adversarial loss: 0.875904, acc: 0.484375] 1772: [discriminator loss: 0.533536, acc: 0.757812] [adversarial loss: 1.692271, acc: 0.109375] 1773: [discriminator loss: 0.554177, acc: 0.703125] [adversarial loss: 0.924856, acc: 0.312500] 1774: [discriminator loss: 0.535725, acc: 0.710938] [adversarial loss: 1.391401, acc: 0.156250] 1775: [discriminator loss: 0.482386, acc: 0.789062] [adversarial loss: 1.049088, acc: 0.265625] 1776: [discriminator loss: 0.510897, acc: 0.773438] [adversarial loss: 1.445004, acc: 0.140625] 1777: [discriminator loss: 0.498787, acc: 0.773438] [adversarial loss: 0.982054, acc: 0.390625] 1778: [discriminator loss: 0.479385, acc: 0.789062] [adversarial loss: 1.539081, acc: 0.093750] 1779: [discriminator loss: 0.532827, acc: 0.734375] [adversarial loss: 0.876703, acc: 0.421875] 1780: [discriminator loss: 0.532508, acc: 0.703125] [adversarial loss: 1.557693, acc: 0.078125] 1781: [discriminator loss: 0.490755, acc: 0.750000] [adversarial loss: 1.178871, acc: 0.203125] 1782: [discriminator loss: 0.471754, acc: 0.742188] [adversarial loss: 1.593995, acc: 0.156250] 1783: [discriminator loss: 0.555136, acc: 0.765625] [adversarial loss: 1.135838, acc: 0.296875] 1784: [discriminator loss: 0.549451, acc: 0.679688] [adversarial loss: 1.868534, acc: 0.062500] 1785: [discriminator loss: 0.466221, acc: 0.789062] [adversarial loss: 1.198327, acc: 0.203125] 1786: [discriminator loss: 0.537998, acc: 0.734375] [adversarial loss: 1.497028, acc: 0.093750] 1787: [discriminator loss: 0.536676, acc: 0.765625] [adversarial loss: 0.872330, acc: 0.468750] 1788: [discriminator loss: 0.496181, acc: 0.765625] [adversarial loss: 1.767884, acc: 0.062500] 1789: [discriminator loss: 0.548618, acc: 0.703125] [adversarial loss: 1.135758, acc: 0.250000] 1790: [discriminator loss: 0.456825, acc: 0.757812] [adversarial loss: 1.575454, acc: 0.109375] 1791: [discriminator loss: 0.502456, acc: 0.742188] [adversarial loss: 1.077417, acc: 0.281250] 1792: [discriminator loss: 0.458926, acc: 0.757812] [adversarial loss: 1.247191, acc: 0.203125] 1793: [discriminator loss: 0.404851, acc: 0.812500] [adversarial loss: 1.288097, acc: 0.218750] 1794: [discriminator loss: 0.567622, acc: 0.726562] [adversarial loss: 1.264007, acc: 0.234375] 1795: [discriminator loss: 0.502307, acc: 0.710938] [adversarial loss: 1.264726, acc: 0.203125] 1796: [discriminator loss: 0.448345, acc: 0.804688] [adversarial loss: 1.693754, acc: 0.062500] 1797: [discriminator loss: 0.519514, acc: 0.757812] [adversarial loss: 1.266408, acc: 0.156250] 1798: [discriminator loss: 0.461105, acc: 0.804688] [adversarial loss: 1.140490, acc: 0.281250] 1799: [discriminator loss: 0.521524, acc: 0.742188] [adversarial loss: 1.089369, acc: 0.375000] 1800: [discriminator loss: 0.464174, acc: 0.796875] [adversarial loss: 1.207223, acc: 0.203125] 1801: [discriminator loss: 0.497161, acc: 0.757812] [adversarial loss: 1.538281, acc: 0.109375] 1802: [discriminator loss: 0.568393, acc: 0.726562] [adversarial loss: 0.833623, acc: 0.484375] 1803: [discriminator loss: 0.570994, acc: 0.703125] [adversarial loss: 1.916708, acc: 0.015625] 1804: [discriminator loss: 0.592691, acc: 0.703125] [adversarial loss: 0.634095, acc: 0.656250] 1805: [discriminator loss: 0.589124, acc: 0.695312] [adversarial loss: 1.826129, acc: 0.031250] 1806: [discriminator loss: 0.557367, acc: 0.679688] [adversarial loss: 0.944439, acc: 0.390625] 1807: [discriminator loss: 0.510778, acc: 0.781250] [adversarial loss: 1.371054, acc: 0.125000] 1808: [discriminator loss: 0.465896, acc: 0.796875] [adversarial loss: 1.257413, acc: 0.218750] 1809: [discriminator loss: 0.465294, acc: 0.804688] [adversarial loss: 1.082317, acc: 0.328125] 1810: [discriminator loss: 0.554605, acc: 0.710938] [adversarial loss: 1.406951, acc: 0.156250] 1811: [discriminator loss: 0.482089, acc: 0.757812] [adversarial loss: 1.053259, acc: 0.312500] 1812: [discriminator loss: 0.530410, acc: 0.718750] [adversarial loss: 1.632759, acc: 0.093750] 1813: [discriminator loss: 0.533890, acc: 0.742188] [adversarial loss: 0.771352, acc: 0.500000] 1814: [discriminator loss: 0.546870, acc: 0.710938] [adversarial loss: 1.844643, acc: 0.031250] 1815: [discriminator loss: 0.586654, acc: 0.710938] [adversarial loss: 0.980841, acc: 0.375000] 1816: [discriminator loss: 0.587542, acc: 0.687500] [adversarial loss: 1.574839, acc: 0.109375] 1817: [discriminator loss: 0.556765, acc: 0.703125] [adversarial loss: 1.060723, acc: 0.296875] 1818: [discriminator loss: 0.520531, acc: 0.710938] [adversarial loss: 1.250879, acc: 0.171875] 1819: [discriminator loss: 0.484741, acc: 0.804688] [adversarial loss: 1.394375, acc: 0.140625] 1820: [discriminator loss: 0.522658, acc: 0.742188] [adversarial loss: 1.187520, acc: 0.250000] 1821: [discriminator loss: 0.524164, acc: 0.695312] [adversarial loss: 1.266502, acc: 0.140625] 1822: [discriminator loss: 0.459534, acc: 0.796875] [adversarial loss: 0.976399, acc: 0.390625] 1823: [discriminator loss: 0.465853, acc: 0.773438] [adversarial loss: 1.797172, acc: 0.046875] 1824: [discriminator loss: 0.472373, acc: 0.757812] [adversarial loss: 1.083282, acc: 0.296875] 1825: [discriminator loss: 0.421040, acc: 0.820312] [adversarial loss: 1.401061, acc: 0.171875] 1826: [discriminator loss: 0.433037, acc: 0.828125] [adversarial loss: 1.305822, acc: 0.171875] 1827: [discriminator loss: 0.469644, acc: 0.742188] [adversarial loss: 1.627847, acc: 0.140625] 1828: [discriminator loss: 0.519504, acc: 0.734375] [adversarial loss: 1.224161, acc: 0.234375] 1829: [discriminator loss: 0.524280, acc: 0.710938] [adversarial loss: 1.680532, acc: 0.031250] 1830: [discriminator loss: 0.562077, acc: 0.695312] [adversarial loss: 1.208521, acc: 0.296875] 1831: [discriminator loss: 0.561089, acc: 0.664062] [adversarial loss: 1.871614, acc: 0.093750] 1832: [discriminator loss: 0.561018, acc: 0.703125] [adversarial loss: 0.830645, acc: 0.484375] 1833: [discriminator loss: 0.629284, acc: 0.617188] [adversarial loss: 1.749158, acc: 0.031250] 1834: [discriminator loss: 0.560185, acc: 0.664062] [adversarial loss: 0.894254, acc: 0.437500] 1835: [discriminator loss: 0.548822, acc: 0.734375] [adversarial loss: 1.444499, acc: 0.140625] 1836: [discriminator loss: 0.462954, acc: 0.781250] [adversarial loss: 0.929993, acc: 0.390625] 1837: [discriminator loss: 0.455249, acc: 0.734375] [adversarial loss: 1.520109, acc: 0.156250] 1838: [discriminator loss: 0.512383, acc: 0.781250] [adversarial loss: 1.299713, acc: 0.140625] 1839: [discriminator loss: 0.468947, acc: 0.804688] [adversarial loss: 1.248776, acc: 0.171875] 1840: [discriminator loss: 0.505288, acc: 0.734375] [adversarial loss: 1.486936, acc: 0.093750] 1841: [discriminator loss: 0.495712, acc: 0.765625] [adversarial loss: 1.065918, acc: 0.265625] 1842: [discriminator loss: 0.522568, acc: 0.742188] [adversarial loss: 1.537785, acc: 0.125000] 1843: [discriminator loss: 0.464416, acc: 0.812500] [adversarial loss: 0.814620, acc: 0.453125] 1844: [discriminator loss: 0.607442, acc: 0.632812] [adversarial loss: 1.689008, acc: 0.093750] 1845: [discriminator loss: 0.596821, acc: 0.695312] [adversarial loss: 1.029550, acc: 0.390625] 1846: [discriminator loss: 0.519099, acc: 0.718750] [adversarial loss: 1.442018, acc: 0.140625] 1847: [discriminator loss: 0.561893, acc: 0.718750] [adversarial loss: 1.167202, acc: 0.281250] 1848: [discriminator loss: 0.507401, acc: 0.804688] [adversarial loss: 1.415166, acc: 0.187500] 1849: [discriminator loss: 0.459527, acc: 0.812500] [adversarial loss: 1.142960, acc: 0.234375] 1850: [discriminator loss: 0.596810, acc: 0.671875] [adversarial loss: 1.596594, acc: 0.171875] 1851: [discriminator loss: 0.523246, acc: 0.734375] [adversarial loss: 1.039614, acc: 0.421875] 1852: [discriminator loss: 0.558012, acc: 0.726562] [adversarial loss: 1.581014, acc: 0.125000] 1853: [discriminator loss: 0.512892, acc: 0.742188] [adversarial loss: 1.080522, acc: 0.343750] 1854: [discriminator loss: 0.565143, acc: 0.679688] [adversarial loss: 1.661000, acc: 0.156250] 1855: [discriminator loss: 0.500187, acc: 0.781250] [adversarial loss: 0.929955, acc: 0.390625] 1856: [discriminator loss: 0.523586, acc: 0.734375] [adversarial loss: 1.767105, acc: 0.109375] 1857: [discriminator loss: 0.540056, acc: 0.726562] [adversarial loss: 0.926303, acc: 0.390625] 1858: [discriminator loss: 0.481919, acc: 0.765625] [adversarial loss: 1.351460, acc: 0.203125] 1859: [discriminator loss: 0.418314, acc: 0.828125] [adversarial loss: 1.446580, acc: 0.140625] 1860: [discriminator loss: 0.482630, acc: 0.773438] [adversarial loss: 1.170262, acc: 0.218750] 1861: [discriminator loss: 0.557235, acc: 0.710938] [adversarial loss: 1.152495, acc: 0.218750] 1862: [discriminator loss: 0.501618, acc: 0.750000] [adversarial loss: 1.412119, acc: 0.218750] 1863: [discriminator loss: 0.477158, acc: 0.796875] [adversarial loss: 1.199403, acc: 0.265625] 1864: [discriminator loss: 0.500075, acc: 0.789062] [adversarial loss: 1.698921, acc: 0.093750] 1865: [discriminator loss: 0.531083, acc: 0.765625] [adversarial loss: 1.105018, acc: 0.234375] 1866: [discriminator loss: 0.477892, acc: 0.718750] [adversarial loss: 1.650906, acc: 0.109375] 1867: [discriminator loss: 0.480969, acc: 0.757812] [adversarial loss: 1.467803, acc: 0.109375] 1868: [discriminator loss: 0.450289, acc: 0.789062] [adversarial loss: 1.297104, acc: 0.265625] 1869: [discriminator loss: 0.451947, acc: 0.804688] [adversarial loss: 1.130507, acc: 0.218750] 1870: [discriminator loss: 0.521428, acc: 0.742188] [adversarial loss: 1.623776, acc: 0.187500] 1871: [discriminator loss: 0.590419, acc: 0.679688] [adversarial loss: 1.260726, acc: 0.250000] 1872: [discriminator loss: 0.500512, acc: 0.750000] [adversarial loss: 1.397424, acc: 0.218750] 1873: [discriminator loss: 0.483615, acc: 0.765625] [adversarial loss: 1.446217, acc: 0.171875] 1874: [discriminator loss: 0.485761, acc: 0.765625] [adversarial loss: 1.381646, acc: 0.140625] 1875: [discriminator loss: 0.529845, acc: 0.734375] [adversarial loss: 1.058021, acc: 0.328125] 1876: [discriminator loss: 0.588917, acc: 0.671875] [adversarial loss: 1.498857, acc: 0.140625] 1877: [discriminator loss: 0.480476, acc: 0.757812] [adversarial loss: 0.974930, acc: 0.328125] 1878: [discriminator loss: 0.545974, acc: 0.750000] [adversarial loss: 1.632155, acc: 0.125000] 1879: [discriminator loss: 0.564708, acc: 0.710938] [adversarial loss: 0.633735, acc: 0.625000] 1880: [discriminator loss: 0.620864, acc: 0.648438] [adversarial loss: 2.107969, acc: 0.015625] 1881: [discriminator loss: 0.687274, acc: 0.656250] [adversarial loss: 0.807574, acc: 0.500000] 1882: [discriminator loss: 0.503205, acc: 0.789062] [adversarial loss: 1.641560, acc: 0.078125] 1883: [discriminator loss: 0.493772, acc: 0.750000] [adversarial loss: 1.371551, acc: 0.156250] 1884: [discriminator loss: 0.494901, acc: 0.742188] [adversarial loss: 1.467582, acc: 0.140625] 1885: [discriminator loss: 0.500901, acc: 0.750000] [adversarial loss: 1.001761, acc: 0.296875] 1886: [discriminator loss: 0.537117, acc: 0.757812] [adversarial loss: 1.493316, acc: 0.171875] 1887: [discriminator loss: 0.504935, acc: 0.765625] [adversarial loss: 1.039966, acc: 0.343750] 1888: [discriminator loss: 0.488149, acc: 0.789062] [adversarial loss: 1.405515, acc: 0.171875] 1889: [discriminator loss: 0.465753, acc: 0.812500] [adversarial loss: 1.210360, acc: 0.265625] 1890: [discriminator loss: 0.457950, acc: 0.781250] [adversarial loss: 1.495763, acc: 0.171875] 1891: [discriminator loss: 0.449411, acc: 0.851562] [adversarial loss: 1.596824, acc: 0.093750] 1892: [discriminator loss: 0.454518, acc: 0.796875] [adversarial loss: 0.924920, acc: 0.406250] 1893: [discriminator loss: 0.488253, acc: 0.781250] [adversarial loss: 1.680132, acc: 0.140625] 1894: [discriminator loss: 0.480419, acc: 0.773438] [adversarial loss: 0.922931, acc: 0.453125] 1895: [discriminator loss: 0.536648, acc: 0.718750] [adversarial loss: 1.672452, acc: 0.078125] 1896: [discriminator loss: 0.561928, acc: 0.734375] [adversarial loss: 1.084478, acc: 0.328125] 1897: [discriminator loss: 0.573978, acc: 0.679688] [adversarial loss: 1.687111, acc: 0.093750] 1898: [discriminator loss: 0.510299, acc: 0.710938] [adversarial loss: 0.932162, acc: 0.406250] 1899: [discriminator loss: 0.577196, acc: 0.671875] [adversarial loss: 1.410055, acc: 0.156250] 1900: [discriminator loss: 0.511902, acc: 0.742188] [adversarial loss: 1.237168, acc: 0.218750] 1901: [discriminator loss: 0.451406, acc: 0.820312] [adversarial loss: 1.467640, acc: 0.109375] 1902: [discriminator loss: 0.439106, acc: 0.812500] [adversarial loss: 1.276708, acc: 0.234375] 1903: [discriminator loss: 0.504071, acc: 0.734375] [adversarial loss: 1.172544, acc: 0.250000] 1904: [discriminator loss: 0.533560, acc: 0.671875] [adversarial loss: 1.399736, acc: 0.125000] 1905: [discriminator loss: 0.460316, acc: 0.789062] [adversarial loss: 1.171579, acc: 0.312500] 1906: [discriminator loss: 0.532847, acc: 0.718750] [adversarial loss: 1.399797, acc: 0.203125] 1907: [discriminator loss: 0.588776, acc: 0.671875] [adversarial loss: 1.130257, acc: 0.250000] 1908: [discriminator loss: 0.510142, acc: 0.757812] [adversarial loss: 1.392326, acc: 0.234375] 1909: [discriminator loss: 0.498452, acc: 0.710938] [adversarial loss: 1.240183, acc: 0.203125] 1910: [discriminator loss: 0.567151, acc: 0.687500] [adversarial loss: 1.663191, acc: 0.093750] 1911: [discriminator loss: 0.540921, acc: 0.726562] [adversarial loss: 0.820712, acc: 0.500000] 1912: [discriminator loss: 0.592245, acc: 0.664062] [adversarial loss: 2.010419, acc: 0.062500] 1913: [discriminator loss: 0.602228, acc: 0.703125] [adversarial loss: 0.902294, acc: 0.375000] 1914: [discriminator loss: 0.525834, acc: 0.734375] [adversarial loss: 1.416817, acc: 0.109375] 1915: [discriminator loss: 0.492927, acc: 0.773438] [adversarial loss: 1.091194, acc: 0.250000] 1916: [discriminator loss: 0.494884, acc: 0.773438] [adversarial loss: 1.636819, acc: 0.125000] 1917: [discriminator loss: 0.514029, acc: 0.718750] [adversarial loss: 0.980693, acc: 0.390625] 1918: [discriminator loss: 0.502737, acc: 0.750000] [adversarial loss: 1.296918, acc: 0.171875] 1919: [discriminator loss: 0.457069, acc: 0.804688] [adversarial loss: 1.187756, acc: 0.171875] 1920: [discriminator loss: 0.483602, acc: 0.804688] [adversarial loss: 1.620337, acc: 0.093750] 1921: [discriminator loss: 0.534830, acc: 0.765625] [adversarial loss: 0.902297, acc: 0.359375] 1922: [discriminator loss: 0.519020, acc: 0.726562] [adversarial loss: 1.804307, acc: 0.109375] 1923: [discriminator loss: 0.567640, acc: 0.718750] [adversarial loss: 1.094957, acc: 0.343750] 1924: [discriminator loss: 0.627876, acc: 0.679688] [adversarial loss: 1.471498, acc: 0.187500] 1925: [discriminator loss: 0.510218, acc: 0.773438] [adversarial loss: 0.923703, acc: 0.375000] 1926: [discriminator loss: 0.439004, acc: 0.796875] [adversarial loss: 1.640216, acc: 0.125000] 1927: [discriminator loss: 0.555776, acc: 0.726562] [adversarial loss: 1.314246, acc: 0.218750] 1928: [discriminator loss: 0.539194, acc: 0.757812] [adversarial loss: 1.583556, acc: 0.093750] 1929: [discriminator loss: 0.447986, acc: 0.820312] [adversarial loss: 0.895749, acc: 0.390625] 1930: [discriminator loss: 0.562437, acc: 0.742188] [adversarial loss: 1.605681, acc: 0.171875] 1931: [discriminator loss: 0.542619, acc: 0.687500] [adversarial loss: 0.778631, acc: 0.531250] 1932: [discriminator loss: 0.621165, acc: 0.671875] [adversarial loss: 2.079237, acc: 0.062500] 1933: [discriminator loss: 0.539583, acc: 0.726562] [adversarial loss: 0.896137, acc: 0.359375] 1934: [discriminator loss: 0.516971, acc: 0.695312] [adversarial loss: 1.519401, acc: 0.140625] 1935: [discriminator loss: 0.533500, acc: 0.750000] [adversarial loss: 1.016056, acc: 0.312500] 1936: [discriminator loss: 0.505088, acc: 0.781250] [adversarial loss: 1.328640, acc: 0.187500] 1937: [discriminator loss: 0.539531, acc: 0.742188] [adversarial loss: 1.540221, acc: 0.140625] 1938: [discriminator loss: 0.577428, acc: 0.687500] [adversarial loss: 1.299504, acc: 0.234375] 1939: [discriminator loss: 0.461697, acc: 0.773438] [adversarial loss: 1.180753, acc: 0.234375] 1940: [discriminator loss: 0.533182, acc: 0.742188] [adversarial loss: 1.320598, acc: 0.156250] 1941: [discriminator loss: 0.479671, acc: 0.757812] [adversarial loss: 1.175293, acc: 0.187500] 1942: [discriminator loss: 0.462634, acc: 0.781250] [adversarial loss: 1.232088, acc: 0.218750] 1943: [discriminator loss: 0.450671, acc: 0.789062] [adversarial loss: 1.614012, acc: 0.031250] 1944: [discriminator loss: 0.495178, acc: 0.734375] [adversarial loss: 1.079028, acc: 0.250000] 1945: [discriminator loss: 0.550721, acc: 0.742188] [adversarial loss: 1.360641, acc: 0.109375] 1946: [discriminator loss: 0.439327, acc: 0.796875] [adversarial loss: 0.844502, acc: 0.421875] 1947: [discriminator loss: 0.540218, acc: 0.734375] [adversarial loss: 1.605267, acc: 0.156250] 1948: [discriminator loss: 0.490865, acc: 0.765625] [adversarial loss: 0.868283, acc: 0.468750] 1949: [discriminator loss: 0.517246, acc: 0.734375] [adversarial loss: 1.906643, acc: 0.078125] 1950: [discriminator loss: 0.558304, acc: 0.687500] [adversarial loss: 0.796643, acc: 0.468750] 1951: [discriminator loss: 0.610536, acc: 0.671875] [adversarial loss: 1.576996, acc: 0.078125] 1952: [discriminator loss: 0.523516, acc: 0.703125] [adversarial loss: 0.945836, acc: 0.421875] 1953: [discriminator loss: 0.551973, acc: 0.726562] [adversarial loss: 1.770133, acc: 0.062500] 1954: [discriminator loss: 0.494557, acc: 0.789062] [adversarial loss: 0.956592, acc: 0.375000] 1955: [discriminator loss: 0.466966, acc: 0.781250] [adversarial loss: 1.600280, acc: 0.078125] 1956: [discriminator loss: 0.553028, acc: 0.726562] [adversarial loss: 1.069772, acc: 0.234375] 1957: [discriminator loss: 0.547964, acc: 0.726562] [adversarial loss: 1.453260, acc: 0.156250] 1958: [discriminator loss: 0.536185, acc: 0.718750] [adversarial loss: 1.112315, acc: 0.312500] 1959: [discriminator loss: 0.492270, acc: 0.757812] [adversarial loss: 1.833516, acc: 0.062500] 1960: [discriminator loss: 0.517906, acc: 0.757812] [adversarial loss: 0.977515, acc: 0.437500] 1961: [discriminator loss: 0.520806, acc: 0.773438] [adversarial loss: 1.463321, acc: 0.171875] 1962: [discriminator loss: 0.566709, acc: 0.671875] [adversarial loss: 0.969060, acc: 0.421875] 1963: [discriminator loss: 0.562909, acc: 0.726562] [adversarial loss: 1.857386, acc: 0.062500] 1964: [discriminator loss: 0.558873, acc: 0.718750] [adversarial loss: 0.924047, acc: 0.390625] 1965: [discriminator loss: 0.561236, acc: 0.687500] [adversarial loss: 1.686921, acc: 0.062500] 1966: [discriminator loss: 0.507893, acc: 0.734375] [adversarial loss: 1.284359, acc: 0.265625] 1967: [discriminator loss: 0.498108, acc: 0.796875] [adversarial loss: 1.438246, acc: 0.171875] 1968: [discriminator loss: 0.505645, acc: 0.734375] [adversarial loss: 1.134205, acc: 0.250000] 1969: [discriminator loss: 0.481111, acc: 0.765625] [adversarial loss: 1.667711, acc: 0.046875] 1970: [discriminator loss: 0.545369, acc: 0.718750] [adversarial loss: 1.150174, acc: 0.187500] 1971: [discriminator loss: 0.490419, acc: 0.796875] [adversarial loss: 1.782159, acc: 0.125000] 1972: [discriminator loss: 0.621071, acc: 0.679688] [adversarial loss: 0.898905, acc: 0.375000] 1973: [discriminator loss: 0.503752, acc: 0.757812] [adversarial loss: 1.639824, acc: 0.187500] 1974: [discriminator loss: 0.482864, acc: 0.757812] [adversarial loss: 1.147116, acc: 0.296875] 1975: [discriminator loss: 0.550550, acc: 0.710938] [adversarial loss: 1.381073, acc: 0.140625] 1976: [discriminator loss: 0.604160, acc: 0.703125] [adversarial loss: 1.035599, acc: 0.359375] 1977: [discriminator loss: 0.490709, acc: 0.781250] [adversarial loss: 1.562604, acc: 0.125000] 1978: [discriminator loss: 0.554946, acc: 0.718750] [adversarial loss: 0.904902, acc: 0.421875] 1979: [discriminator loss: 0.512573, acc: 0.750000] [adversarial loss: 1.550781, acc: 0.093750] 1980: [discriminator loss: 0.481158, acc: 0.773438] [adversarial loss: 0.981217, acc: 0.328125] 1981: [discriminator loss: 0.583232, acc: 0.679688] [adversarial loss: 1.564352, acc: 0.062500] 1982: [discriminator loss: 0.557816, acc: 0.734375] [adversarial loss: 0.951590, acc: 0.375000] 1983: [discriminator loss: 0.447595, acc: 0.835938] [adversarial loss: 1.257904, acc: 0.125000] 1984: [discriminator loss: 0.482171, acc: 0.742188] [adversarial loss: 1.047111, acc: 0.296875] 1985: [discriminator loss: 0.513522, acc: 0.765625] [adversarial loss: 1.527978, acc: 0.046875] 1986: [discriminator loss: 0.483780, acc: 0.703125] [adversarial loss: 0.951841, acc: 0.453125] 1987: [discriminator loss: 0.500016, acc: 0.742188] [adversarial loss: 1.625463, acc: 0.093750] 1988: [discriminator loss: 0.545895, acc: 0.710938] [adversarial loss: 0.868320, acc: 0.375000] 1989: [discriminator loss: 0.545827, acc: 0.687500] [adversarial loss: 1.706886, acc: 0.031250] 1990: [discriminator loss: 0.574872, acc: 0.695312] [adversarial loss: 0.716156, acc: 0.609375] 1991: [discriminator loss: 0.608163, acc: 0.679688] [adversarial loss: 1.868484, acc: 0.093750] 1992: [discriminator loss: 0.546576, acc: 0.710938] [adversarial loss: 1.012617, acc: 0.359375] 1993: [discriminator loss: 0.535659, acc: 0.710938] [adversarial loss: 1.902084, acc: 0.062500] 1994: [discriminator loss: 0.473965, acc: 0.773438] [adversarial loss: 1.181398, acc: 0.234375] 1995: [discriminator loss: 0.466191, acc: 0.773438] [adversarial loss: 1.759309, acc: 0.031250] 1996: [discriminator loss: 0.525534, acc: 0.742188] [adversarial loss: 1.123009, acc: 0.171875] 1997: [discriminator loss: 0.494624, acc: 0.750000] [adversarial loss: 1.518824, acc: 0.078125] 1998: [discriminator loss: 0.533724, acc: 0.726562] [adversarial loss: 1.090928, acc: 0.296875] 1999: [discriminator loss: 0.545296, acc: 0.734375] [adversarial loss: 1.413797, acc: 0.140625] 2000: [discriminator loss: 0.491143, acc: 0.789062] [adversarial loss: 1.018421, acc: 0.265625] 2001: [discriminator loss: 0.580885, acc: 0.726562] [adversarial loss: 1.556525, acc: 0.125000] 2002: [discriminator loss: 0.530203, acc: 0.742188] [adversarial loss: 0.976827, acc: 0.265625] 2003: [discriminator loss: 0.494859, acc: 0.757812] [adversarial loss: 1.373646, acc: 0.203125] 2004: [discriminator loss: 0.524518, acc: 0.742188] [adversarial loss: 1.002522, acc: 0.343750] 2005: [discriminator loss: 0.448715, acc: 0.828125] [adversarial loss: 1.512068, acc: 0.046875] 2006: [discriminator loss: 0.456386, acc: 0.789062] [adversarial loss: 0.987013, acc: 0.265625] 2007: [discriminator loss: 0.486156, acc: 0.773438] [adversarial loss: 1.708798, acc: 0.078125] 2008: [discriminator loss: 0.477568, acc: 0.781250] [adversarial loss: 0.753099, acc: 0.578125] 2009: [discriminator loss: 0.572826, acc: 0.718750] [adversarial loss: 1.685494, acc: 0.093750] 2010: [discriminator loss: 0.503544, acc: 0.765625] [adversarial loss: 1.136460, acc: 0.250000] 2011: [discriminator loss: 0.587668, acc: 0.656250] [adversarial loss: 1.320811, acc: 0.171875] 2012: [discriminator loss: 0.510442, acc: 0.773438] [adversarial loss: 1.286155, acc: 0.218750] 2013: [discriminator loss: 0.486574, acc: 0.757812] [adversarial loss: 1.461965, acc: 0.093750] 2014: [discriminator loss: 0.478124, acc: 0.750000] [adversarial loss: 1.523940, acc: 0.046875] 2015: [discriminator loss: 0.495171, acc: 0.750000] [adversarial loss: 0.878382, acc: 0.468750] 2016: [discriminator loss: 0.529274, acc: 0.742188] [adversarial loss: 1.449415, acc: 0.218750] 2017: [discriminator loss: 0.508984, acc: 0.773438] [adversarial loss: 1.338484, acc: 0.109375] 2018: [discriminator loss: 0.552681, acc: 0.703125] [adversarial loss: 1.575173, acc: 0.218750] 2019: [discriminator loss: 0.625467, acc: 0.648438] [adversarial loss: 0.673381, acc: 0.593750] 2020: [discriminator loss: 0.480039, acc: 0.750000] [adversarial loss: 1.946658, acc: 0.046875] 2021: [discriminator loss: 0.563733, acc: 0.734375] [adversarial loss: 1.018849, acc: 0.343750] 2022: [discriminator loss: 0.499655, acc: 0.765625] [adversarial loss: 1.584412, acc: 0.125000] 2023: [discriminator loss: 0.556192, acc: 0.679688] [adversarial loss: 0.896773, acc: 0.421875] 2024: [discriminator loss: 0.592598, acc: 0.718750] [adversarial loss: 1.246279, acc: 0.234375] 2025: [discriminator loss: 0.490713, acc: 0.773438] [adversarial loss: 1.338308, acc: 0.187500] 2026: [discriminator loss: 0.557981, acc: 0.703125] [adversarial loss: 1.282182, acc: 0.203125] 2027: [discriminator loss: 0.558362, acc: 0.710938] [adversarial loss: 1.418020, acc: 0.109375] 2028: [discriminator loss: 0.473413, acc: 0.734375] [adversarial loss: 1.093661, acc: 0.234375] 2029: [discriminator loss: 0.513814, acc: 0.765625] [adversarial loss: 1.213163, acc: 0.296875] 2030: [discriminator loss: 0.495552, acc: 0.734375] [adversarial loss: 1.727365, acc: 0.093750] 2031: [discriminator loss: 0.507249, acc: 0.757812] [adversarial loss: 1.491670, acc: 0.140625] 2032: [discriminator loss: 0.460359, acc: 0.773438] [adversarial loss: 1.115329, acc: 0.296875] 2033: [discriminator loss: 0.505641, acc: 0.773438] [adversarial loss: 1.149029, acc: 0.265625] 2034: [discriminator loss: 0.432900, acc: 0.804688] [adversarial loss: 1.598868, acc: 0.125000] 2035: [discriminator loss: 0.492057, acc: 0.718750] [adversarial loss: 0.969279, acc: 0.406250] 2036: [discriminator loss: 0.577261, acc: 0.671875] [adversarial loss: 1.723994, acc: 0.078125] 2037: [discriminator loss: 0.442484, acc: 0.804688] [adversarial loss: 1.080338, acc: 0.359375] 2038: [discriminator loss: 0.491888, acc: 0.765625] [adversarial loss: 1.863922, acc: 0.031250] 2039: [discriminator loss: 0.495701, acc: 0.734375] [adversarial loss: 1.051931, acc: 0.375000] 2040: [discriminator loss: 0.528931, acc: 0.726562] [adversarial loss: 1.397531, acc: 0.171875] 2041: [discriminator loss: 0.473415, acc: 0.843750] [adversarial loss: 1.279357, acc: 0.156250] 2042: [discriminator loss: 0.453014, acc: 0.781250] [adversarial loss: 1.270585, acc: 0.203125] 2043: [discriminator loss: 0.461479, acc: 0.781250] [adversarial loss: 1.348401, acc: 0.187500] 2044: [discriminator loss: 0.533144, acc: 0.734375] [adversarial loss: 0.861476, acc: 0.453125] 2045: [discriminator loss: 0.554626, acc: 0.695312] [adversarial loss: 1.999574, acc: 0.046875] 2046: [discriminator loss: 0.637360, acc: 0.695312] [adversarial loss: 0.823646, acc: 0.531250] 2047: [discriminator loss: 0.585564, acc: 0.687500] [adversarial loss: 1.750926, acc: 0.078125] 2048: [discriminator loss: 0.459393, acc: 0.781250] [adversarial loss: 1.005575, acc: 0.343750] 2049: [discriminator loss: 0.497649, acc: 0.710938] [adversarial loss: 1.394542, acc: 0.234375] 2050: [discriminator loss: 0.502023, acc: 0.726562] [adversarial loss: 1.145187, acc: 0.250000] 2051: [discriminator loss: 0.478062, acc: 0.781250] [adversarial loss: 0.964671, acc: 0.375000] 2052: [discriminator loss: 0.518847, acc: 0.726562] [adversarial loss: 1.042493, acc: 0.312500] 2053: [discriminator loss: 0.490431, acc: 0.796875] [adversarial loss: 1.401685, acc: 0.218750] 2054: [discriminator loss: 0.454146, acc: 0.773438] [adversarial loss: 1.104492, acc: 0.265625] 2055: [discriminator loss: 0.572810, acc: 0.687500] [adversarial loss: 1.348774, acc: 0.171875] 2056: [discriminator loss: 0.461602, acc: 0.750000] [adversarial loss: 0.919500, acc: 0.328125] 2057: [discriminator loss: 0.571470, acc: 0.718750] [adversarial loss: 1.808167, acc: 0.125000] 2058: [discriminator loss: 0.635754, acc: 0.718750] [adversarial loss: 0.780455, acc: 0.578125] 2059: [discriminator loss: 0.502626, acc: 0.703125] [adversarial loss: 1.878392, acc: 0.078125] 2060: [discriminator loss: 0.589249, acc: 0.726562] [adversarial loss: 0.914924, acc: 0.437500] 2061: [discriminator loss: 0.535271, acc: 0.679688] [adversarial loss: 1.670960, acc: 0.093750] 2062: [discriminator loss: 0.581164, acc: 0.687500] [adversarial loss: 0.965188, acc: 0.375000] 2063: [discriminator loss: 0.497561, acc: 0.773438] [adversarial loss: 1.602488, acc: 0.125000] 2064: [discriminator loss: 0.478007, acc: 0.773438] [adversarial loss: 1.109135, acc: 0.250000] 2065: [discriminator loss: 0.582067, acc: 0.671875] [adversarial loss: 1.429273, acc: 0.140625] 2066: [discriminator loss: 0.414907, acc: 0.835938] [adversarial loss: 1.252003, acc: 0.265625] 2067: [discriminator loss: 0.559703, acc: 0.757812] [adversarial loss: 1.668120, acc: 0.203125] 2068: [discriminator loss: 0.518766, acc: 0.757812] [adversarial loss: 0.975584, acc: 0.312500] 2069: [discriminator loss: 0.519400, acc: 0.750000] [adversarial loss: 1.682924, acc: 0.078125] 2070: [discriminator loss: 0.546508, acc: 0.718750] [adversarial loss: 0.982435, acc: 0.359375] 2071: [discriminator loss: 0.599662, acc: 0.640625] [adversarial loss: 1.694729, acc: 0.078125] 2072: [discriminator loss: 0.509708, acc: 0.789062] [adversarial loss: 1.062185, acc: 0.296875] 2073: [discriminator loss: 0.523190, acc: 0.734375] [adversarial loss: 1.355327, acc: 0.156250] 2074: [discriminator loss: 0.487271, acc: 0.812500] [adversarial loss: 1.100669, acc: 0.359375] 2075: [discriminator loss: 0.528212, acc: 0.718750] [adversarial loss: 1.585852, acc: 0.156250] 2076: [discriminator loss: 0.541737, acc: 0.726562] [adversarial loss: 1.135313, acc: 0.296875] 2077: [discriminator loss: 0.452516, acc: 0.828125] [adversarial loss: 1.391982, acc: 0.187500] 2078: [discriminator loss: 0.448962, acc: 0.789062] [adversarial loss: 1.393607, acc: 0.109375] 2079: [discriminator loss: 0.544267, acc: 0.710938] [adversarial loss: 1.449298, acc: 0.109375] 2080: [discriminator loss: 0.509956, acc: 0.718750] [adversarial loss: 1.453037, acc: 0.156250] 2081: [discriminator loss: 0.558467, acc: 0.734375] [adversarial loss: 1.363742, acc: 0.218750] 2082: [discriminator loss: 0.513497, acc: 0.710938] [adversarial loss: 0.922065, acc: 0.375000] 2083: [discriminator loss: 0.544051, acc: 0.664062] [adversarial loss: 1.848388, acc: 0.062500] 2084: [discriminator loss: 0.519658, acc: 0.750000] [adversarial loss: 0.997980, acc: 0.359375] 2085: [discriminator loss: 0.554727, acc: 0.703125] [adversarial loss: 1.748684, acc: 0.078125] 2086: [discriminator loss: 0.528950, acc: 0.734375] [adversarial loss: 1.124489, acc: 0.281250] 2087: [discriminator loss: 0.577448, acc: 0.687500] [adversarial loss: 2.029711, acc: 0.046875] 2088: [discriminator loss: 0.594597, acc: 0.734375] [adversarial loss: 0.990929, acc: 0.375000] 2089: [discriminator loss: 0.479390, acc: 0.773438] [adversarial loss: 1.355342, acc: 0.218750] 2090: [discriminator loss: 0.456289, acc: 0.804688] [adversarial loss: 1.155883, acc: 0.296875] 2091: [discriminator loss: 0.541024, acc: 0.726562] [adversarial loss: 1.529293, acc: 0.140625] 2092: [discriminator loss: 0.517613, acc: 0.757812] [adversarial loss: 1.127693, acc: 0.218750] 2093: [discriminator loss: 0.523890, acc: 0.734375] [adversarial loss: 1.135231, acc: 0.250000] 2094: [discriminator loss: 0.505693, acc: 0.734375] [adversarial loss: 1.506346, acc: 0.109375] 2095: [discriminator loss: 0.482703, acc: 0.773438] [adversarial loss: 1.368026, acc: 0.140625] 2096: [discriminator loss: 0.624476, acc: 0.648438] [adversarial loss: 1.007966, acc: 0.359375] 2097: [discriminator loss: 0.501422, acc: 0.765625] [adversarial loss: 1.668663, acc: 0.046875] 2098: [discriminator loss: 0.508692, acc: 0.726562] [adversarial loss: 0.928069, acc: 0.390625] 2099: [discriminator loss: 0.544248, acc: 0.726562] [adversarial loss: 1.888106, acc: 0.062500] 2100: [discriminator loss: 0.578351, acc: 0.671875] [adversarial loss: 0.796025, acc: 0.468750] 2101: [discriminator loss: 0.493333, acc: 0.757812] [adversarial loss: 1.664588, acc: 0.109375] 2102: [discriminator loss: 0.505158, acc: 0.742188] [adversarial loss: 1.191508, acc: 0.156250] 2103: [discriminator loss: 0.462762, acc: 0.796875] [adversarial loss: 1.479226, acc: 0.171875] 2104: [discriminator loss: 0.537968, acc: 0.687500] [adversarial loss: 1.266831, acc: 0.218750] 2105: [discriminator loss: 0.488466, acc: 0.742188] [adversarial loss: 1.237561, acc: 0.312500] 2106: [discriminator loss: 0.450892, acc: 0.789062] [adversarial loss: 1.584323, acc: 0.109375] 2107: [discriminator loss: 0.553431, acc: 0.718750] [adversarial loss: 1.210317, acc: 0.234375] 2108: [discriminator loss: 0.481355, acc: 0.789062] [adversarial loss: 1.256168, acc: 0.203125] 2109: [discriminator loss: 0.467416, acc: 0.757812] [adversarial loss: 1.238268, acc: 0.171875] 2110: [discriminator loss: 0.532722, acc: 0.710938] [adversarial loss: 1.642134, acc: 0.140625] 2111: [discriminator loss: 0.515181, acc: 0.757812] [adversarial loss: 0.918427, acc: 0.343750] 2112: [discriminator loss: 0.555538, acc: 0.710938] [adversarial loss: 2.177234, acc: 0.031250] 2113: [discriminator loss: 0.648753, acc: 0.656250] [adversarial loss: 0.880113, acc: 0.421875] 2114: [discriminator loss: 0.525199, acc: 0.734375] [adversarial loss: 1.805441, acc: 0.078125] 2115: [discriminator loss: 0.559208, acc: 0.671875] [adversarial loss: 1.073434, acc: 0.328125] 2116: [discriminator loss: 0.504402, acc: 0.718750] [adversarial loss: 1.767488, acc: 0.140625] 2117: [discriminator loss: 0.513605, acc: 0.750000] [adversarial loss: 1.101969, acc: 0.281250] 2118: [discriminator loss: 0.419175, acc: 0.851562] [adversarial loss: 1.222733, acc: 0.265625] 2119: [discriminator loss: 0.481380, acc: 0.765625] [adversarial loss: 1.372101, acc: 0.234375] 2120: [discriminator loss: 0.479882, acc: 0.773438] [adversarial loss: 1.197233, acc: 0.218750] 2121: [discriminator loss: 0.510570, acc: 0.742188] [adversarial loss: 1.679019, acc: 0.109375] 2122: [discriminator loss: 0.497931, acc: 0.742188] [adversarial loss: 1.473225, acc: 0.218750] 2123: [discriminator loss: 0.467386, acc: 0.734375] [adversarial loss: 1.329813, acc: 0.296875] 2124: [discriminator loss: 0.573578, acc: 0.687500] [adversarial loss: 1.410565, acc: 0.171875] 2125: [discriminator loss: 0.497261, acc: 0.734375] [adversarial loss: 1.343738, acc: 0.171875] 2126: [discriminator loss: 0.456118, acc: 0.789062] [adversarial loss: 1.068602, acc: 0.421875] 2127: [discriminator loss: 0.584257, acc: 0.703125] [adversarial loss: 1.331449, acc: 0.109375] 2128: [discriminator loss: 0.506778, acc: 0.781250] [adversarial loss: 1.340270, acc: 0.250000] 2129: [discriminator loss: 0.510018, acc: 0.726562] [adversarial loss: 1.221127, acc: 0.281250] 2130: [discriminator loss: 0.484797, acc: 0.773438] [adversarial loss: 1.312360, acc: 0.171875] 2131: [discriminator loss: 0.493677, acc: 0.812500] [adversarial loss: 1.162171, acc: 0.265625] 2132: [discriminator loss: 0.542941, acc: 0.695312] [adversarial loss: 1.902883, acc: 0.078125] 2133: [discriminator loss: 0.533672, acc: 0.734375] [adversarial loss: 0.933474, acc: 0.390625] 2134: [discriminator loss: 0.506840, acc: 0.750000] [adversarial loss: 2.048676, acc: 0.046875] 2135: [discriminator loss: 0.597712, acc: 0.671875] [adversarial loss: 0.830930, acc: 0.468750] 2136: [discriminator loss: 0.557645, acc: 0.710938] [adversarial loss: 1.580094, acc: 0.109375] 2137: [discriminator loss: 0.507475, acc: 0.765625] [adversarial loss: 1.290438, acc: 0.171875] 2138: [discriminator loss: 0.549612, acc: 0.710938] [adversarial loss: 1.566790, acc: 0.109375] 2139: [discriminator loss: 0.506835, acc: 0.726562] [adversarial loss: 1.228705, acc: 0.218750] 2140: [discriminator loss: 0.460135, acc: 0.804688] [adversarial loss: 1.292864, acc: 0.203125] 2141: [discriminator loss: 0.472845, acc: 0.781250] [adversarial loss: 1.469320, acc: 0.140625] 2142: [discriminator loss: 0.548620, acc: 0.695312] [adversarial loss: 1.081816, acc: 0.296875] 2143: [discriminator loss: 0.510420, acc: 0.773438] [adversarial loss: 1.356101, acc: 0.140625] 2144: [discriminator loss: 0.565912, acc: 0.734375] [adversarial loss: 0.983913, acc: 0.421875] 2145: [discriminator loss: 0.519482, acc: 0.757812] [adversarial loss: 1.795239, acc: 0.078125] 2146: [discriminator loss: 0.630198, acc: 0.671875] [adversarial loss: 0.954476, acc: 0.390625] 2147: [discriminator loss: 0.510171, acc: 0.726562] [adversarial loss: 1.617919, acc: 0.187500] 2148: [discriminator loss: 0.540613, acc: 0.703125] [adversarial loss: 1.143082, acc: 0.359375] 2149: [discriminator loss: 0.512134, acc: 0.710938] [adversarial loss: 1.590420, acc: 0.125000] 2150: [discriminator loss: 0.535608, acc: 0.742188] [adversarial loss: 1.079309, acc: 0.281250] 2151: [discriminator loss: 0.466373, acc: 0.742188] [adversarial loss: 1.438435, acc: 0.187500] 2152: [discriminator loss: 0.508578, acc: 0.765625] [adversarial loss: 1.339833, acc: 0.171875] 2153: [discriminator loss: 0.531747, acc: 0.742188] [adversarial loss: 1.196203, acc: 0.250000] 2154: [discriminator loss: 0.535921, acc: 0.718750] [adversarial loss: 1.822715, acc: 0.046875] 2155: [discriminator loss: 0.549646, acc: 0.718750] [adversarial loss: 0.642508, acc: 0.640625] 2156: [discriminator loss: 0.635676, acc: 0.656250] [adversarial loss: 1.616178, acc: 0.078125] 2157: [discriminator loss: 0.498295, acc: 0.789062] [adversarial loss: 1.246263, acc: 0.218750] 2158: [discriminator loss: 0.445064, acc: 0.812500] [adversarial loss: 0.950877, acc: 0.359375] 2159: [discriminator loss: 0.456064, acc: 0.750000] [adversarial loss: 1.340229, acc: 0.109375] 2160: [discriminator loss: 0.538699, acc: 0.695312] [adversarial loss: 1.522304, acc: 0.109375] 2161: [discriminator loss: 0.500062, acc: 0.773438] [adversarial loss: 0.970427, acc: 0.375000] 2162: [discriminator loss: 0.509285, acc: 0.757812] [adversarial loss: 1.653918, acc: 0.046875] 2163: [discriminator loss: 0.545331, acc: 0.703125] [adversarial loss: 0.925319, acc: 0.359375] 2164: [discriminator loss: 0.448941, acc: 0.773438] [adversarial loss: 1.464654, acc: 0.140625] 2165: [discriminator loss: 0.449235, acc: 0.765625] [adversarial loss: 1.186350, acc: 0.265625] 2166: [discriminator loss: 0.485427, acc: 0.781250] [adversarial loss: 1.487325, acc: 0.140625] 2167: [discriminator loss: 0.493266, acc: 0.796875] [adversarial loss: 1.038020, acc: 0.234375] 2168: [discriminator loss: 0.515724, acc: 0.718750] [adversarial loss: 1.308733, acc: 0.156250] 2169: [discriminator loss: 0.502640, acc: 0.781250] [adversarial loss: 1.290884, acc: 0.203125] 2170: [discriminator loss: 0.517246, acc: 0.734375] [adversarial loss: 1.322821, acc: 0.156250] 2171: [discriminator loss: 0.508095, acc: 0.757812] [adversarial loss: 0.975066, acc: 0.359375] 2172: [discriminator loss: 0.502512, acc: 0.718750] [adversarial loss: 1.549977, acc: 0.125000] 2173: [discriminator loss: 0.477427, acc: 0.796875] [adversarial loss: 1.351020, acc: 0.171875] 2174: [discriminator loss: 0.419327, acc: 0.835938] [adversarial loss: 1.095528, acc: 0.312500] 2175: [discriminator loss: 0.518633, acc: 0.742188] [adversarial loss: 1.322361, acc: 0.171875] 2176: [discriminator loss: 0.564644, acc: 0.710938] [adversarial loss: 1.072674, acc: 0.359375] 2177: [discriminator loss: 0.569254, acc: 0.726562] [adversarial loss: 1.936689, acc: 0.046875] 2178: [discriminator loss: 0.538639, acc: 0.687500] [adversarial loss: 0.819121, acc: 0.484375] 2179: [discriminator loss: 0.500627, acc: 0.703125] [adversarial loss: 1.850024, acc: 0.046875] 2180: [discriminator loss: 0.506256, acc: 0.718750] [adversarial loss: 0.958141, acc: 0.343750] 2181: [discriminator loss: 0.573805, acc: 0.687500] [adversarial loss: 1.691951, acc: 0.109375] 2182: [discriminator loss: 0.544702, acc: 0.679688] [adversarial loss: 1.052227, acc: 0.250000] 2183: [discriminator loss: 0.504838, acc: 0.718750] [adversarial loss: 1.616822, acc: 0.093750] 2184: [discriminator loss: 0.547096, acc: 0.695312] [adversarial loss: 1.163930, acc: 0.281250] 2185: [discriminator loss: 0.545204, acc: 0.734375] [adversarial loss: 1.112457, acc: 0.250000] 2186: [discriminator loss: 0.559314, acc: 0.718750] [adversarial loss: 1.200138, acc: 0.250000] 2187: [discriminator loss: 0.448509, acc: 0.804688] [adversarial loss: 1.333520, acc: 0.203125] 2188: [discriminator loss: 0.497356, acc: 0.742188] [adversarial loss: 1.133372, acc: 0.265625] 2189: [discriminator loss: 0.444598, acc: 0.812500] [adversarial loss: 1.430966, acc: 0.140625] 2190: [discriminator loss: 0.502585, acc: 0.765625] [adversarial loss: 1.179037, acc: 0.296875] 2191: [discriminator loss: 0.449512, acc: 0.796875] [adversarial loss: 1.211419, acc: 0.296875] 2192: [discriminator loss: 0.521855, acc: 0.750000] [adversarial loss: 1.237068, acc: 0.265625] 2193: [discriminator loss: 0.509277, acc: 0.742188] [adversarial loss: 1.378651, acc: 0.140625] 2194: [discriminator loss: 0.480045, acc: 0.773438] [adversarial loss: 1.282561, acc: 0.109375] 2195: [discriminator loss: 0.449275, acc: 0.796875] [adversarial loss: 1.323032, acc: 0.171875] 2196: [discriminator loss: 0.496563, acc: 0.734375] [adversarial loss: 1.044468, acc: 0.312500] 2197: [discriminator loss: 0.524979, acc: 0.718750] [adversarial loss: 1.914762, acc: 0.031250] 2198: [discriminator loss: 0.568790, acc: 0.734375] [adversarial loss: 1.270009, acc: 0.250000] 2199: [discriminator loss: 0.481656, acc: 0.804688] [adversarial loss: 1.012657, acc: 0.390625] 2200: [discriminator loss: 0.504664, acc: 0.765625] [adversarial loss: 1.168494, acc: 0.312500] 2201: [discriminator loss: 0.485289, acc: 0.765625] [adversarial loss: 1.492179, acc: 0.109375] 2202: [discriminator loss: 0.425600, acc: 0.828125] [adversarial loss: 1.030874, acc: 0.375000] 2203: [discriminator loss: 0.480759, acc: 0.750000] [adversarial loss: 1.811104, acc: 0.062500] 2204: [discriminator loss: 0.587169, acc: 0.648438] [adversarial loss: 0.860921, acc: 0.375000] 2205: [discriminator loss: 0.540127, acc: 0.726562] [adversarial loss: 1.937184, acc: 0.046875] 2206: [discriminator loss: 0.493496, acc: 0.734375] [adversarial loss: 1.093951, acc: 0.343750] 2207: [discriminator loss: 0.540779, acc: 0.703125] [adversarial loss: 1.731707, acc: 0.171875] 2208: [discriminator loss: 0.557339, acc: 0.695312] [adversarial loss: 1.571378, acc: 0.125000] 2209: [discriminator loss: 0.478462, acc: 0.757812] [adversarial loss: 1.203726, acc: 0.125000] 2210: [discriminator loss: 0.527338, acc: 0.734375] [adversarial loss: 1.521686, acc: 0.125000] 2211: [discriminator loss: 0.508326, acc: 0.734375] [adversarial loss: 1.042655, acc: 0.375000] 2212: [discriminator loss: 0.528697, acc: 0.750000] [adversarial loss: 1.495220, acc: 0.156250] 2213: [discriminator loss: 0.451076, acc: 0.789062] [adversarial loss: 1.133661, acc: 0.250000] 2214: [discriminator loss: 0.450056, acc: 0.820312] [adversarial loss: 1.533430, acc: 0.109375] 2215: [discriminator loss: 0.522188, acc: 0.750000] [adversarial loss: 0.828828, acc: 0.453125] 2216: [discriminator loss: 0.594513, acc: 0.734375] [adversarial loss: 2.251191, acc: 0.062500] 2217: [discriminator loss: 0.583152, acc: 0.679688] [adversarial loss: 0.838407, acc: 0.500000] 2218: [discriminator loss: 0.606368, acc: 0.695312] [adversarial loss: 1.411442, acc: 0.250000] 2219: [discriminator loss: 0.458629, acc: 0.781250] [adversarial loss: 1.185603, acc: 0.203125] 2220: [discriminator loss: 0.507003, acc: 0.812500] [adversarial loss: 1.610200, acc: 0.109375] 2221: [discriminator loss: 0.598090, acc: 0.648438] [adversarial loss: 1.093342, acc: 0.359375] 2222: [discriminator loss: 0.540653, acc: 0.773438] [adversarial loss: 1.237350, acc: 0.296875] 2223: [discriminator loss: 0.540354, acc: 0.742188] [adversarial loss: 1.536421, acc: 0.078125] 2224: [discriminator loss: 0.451200, acc: 0.796875] [adversarial loss: 1.263970, acc: 0.250000] 2225: [discriminator loss: 0.498745, acc: 0.781250] [adversarial loss: 1.388947, acc: 0.156250] 2226: [discriminator loss: 0.521364, acc: 0.718750] [adversarial loss: 1.079818, acc: 0.343750] 2227: [discriminator loss: 0.485294, acc: 0.781250] [adversarial loss: 1.685609, acc: 0.093750] 2228: [discriminator loss: 0.517645, acc: 0.750000] [adversarial loss: 1.108485, acc: 0.343750] 2229: [discriminator loss: 0.406317, acc: 0.851562] [adversarial loss: 1.250272, acc: 0.265625] 2230: [discriminator loss: 0.543085, acc: 0.742188] [adversarial loss: 1.574816, acc: 0.109375] 2231: [discriminator loss: 0.485067, acc: 0.757812] [adversarial loss: 0.909444, acc: 0.500000] 2232: [discriminator loss: 0.569973, acc: 0.687500] [adversarial loss: 1.329755, acc: 0.203125] 2233: [discriminator loss: 0.491024, acc: 0.750000] [adversarial loss: 1.153187, acc: 0.343750] 2234: [discriminator loss: 0.455759, acc: 0.820312] [adversarial loss: 1.395867, acc: 0.218750] 2235: [discriminator loss: 0.535559, acc: 0.781250] [adversarial loss: 1.186499, acc: 0.187500] 2236: [discriminator loss: 0.439177, acc: 0.812500] [adversarial loss: 1.478414, acc: 0.171875] 2237: [discriminator loss: 0.491081, acc: 0.757812] [adversarial loss: 1.108109, acc: 0.281250] 2238: [discriminator loss: 0.484684, acc: 0.781250] [adversarial loss: 1.519344, acc: 0.171875] 2239: [discriminator loss: 0.490986, acc: 0.757812] [adversarial loss: 0.952121, acc: 0.406250] 2240: [discriminator loss: 0.504744, acc: 0.757812] [adversarial loss: 1.363703, acc: 0.218750] 2241: [discriminator loss: 0.558646, acc: 0.695312] [adversarial loss: 1.059819, acc: 0.375000] 2242: [discriminator loss: 0.480030, acc: 0.789062] [adversarial loss: 1.264858, acc: 0.203125] 2243: [discriminator loss: 0.481707, acc: 0.781250] [adversarial loss: 0.967761, acc: 0.500000] 2244: [discriminator loss: 0.576892, acc: 0.656250] [adversarial loss: 2.217824, acc: 0.046875] 2245: [discriminator loss: 0.585258, acc: 0.710938] [adversarial loss: 1.047032, acc: 0.281250] 2246: [discriminator loss: 0.615361, acc: 0.734375] [adversarial loss: 1.968539, acc: 0.046875] 2247: [discriminator loss: 0.565023, acc: 0.734375] [adversarial loss: 0.919840, acc: 0.406250] 2248: [discriminator loss: 0.603607, acc: 0.703125] [adversarial loss: 1.649999, acc: 0.140625] 2249: [discriminator loss: 0.556117, acc: 0.718750] [adversarial loss: 0.904135, acc: 0.546875] 2250: [discriminator loss: 0.555914, acc: 0.703125] [adversarial loss: 1.503255, acc: 0.140625] 2251: [discriminator loss: 0.513035, acc: 0.757812] [adversarial loss: 1.096091, acc: 0.281250] 2252: [discriminator loss: 0.492142, acc: 0.765625] [adversarial loss: 1.544327, acc: 0.093750] 2253: [discriminator loss: 0.535212, acc: 0.734375] [adversarial loss: 1.100262, acc: 0.312500] 2254: [discriminator loss: 0.394178, acc: 0.851562] [adversarial loss: 1.306314, acc: 0.281250] 2255: [discriminator loss: 0.529564, acc: 0.695312] [adversarial loss: 1.070756, acc: 0.359375] 2256: [discriminator loss: 0.522903, acc: 0.765625] [adversarial loss: 1.563758, acc: 0.125000] 2257: [discriminator loss: 0.558026, acc: 0.726562] [adversarial loss: 0.847378, acc: 0.453125] 2258: [discriminator loss: 0.486637, acc: 0.757812] [adversarial loss: 1.885487, acc: 0.000000] 2259: [discriminator loss: 0.526983, acc: 0.757812] [adversarial loss: 0.982529, acc: 0.406250] 2260: [discriminator loss: 0.517611, acc: 0.773438] [adversarial loss: 1.466563, acc: 0.203125] 2261: [discriminator loss: 0.451131, acc: 0.789062] [adversarial loss: 1.111982, acc: 0.312500] 2262: [discriminator loss: 0.494152, acc: 0.742188] [adversarial loss: 1.424597, acc: 0.187500] 2263: [discriminator loss: 0.570661, acc: 0.742188] [adversarial loss: 1.087468, acc: 0.281250] 2264: [discriminator loss: 0.573676, acc: 0.718750] [adversarial loss: 1.426399, acc: 0.125000] 2265: [discriminator loss: 0.510465, acc: 0.734375] [adversarial loss: 1.316087, acc: 0.250000] 2266: [discriminator loss: 0.522862, acc: 0.742188] [adversarial loss: 0.889145, acc: 0.437500] 2267: [discriminator loss: 0.595111, acc: 0.726562] [adversarial loss: 1.729290, acc: 0.125000] 2268: [discriminator loss: 0.492769, acc: 0.742188] [adversarial loss: 0.631229, acc: 0.640625] 2269: [discriminator loss: 0.550584, acc: 0.718750] [adversarial loss: 1.565501, acc: 0.187500] 2270: [discriminator loss: 0.601510, acc: 0.718750] [adversarial loss: 1.108856, acc: 0.265625] 2271: [discriminator loss: 0.467467, acc: 0.796875] [adversarial loss: 1.367666, acc: 0.171875] 2272: [discriminator loss: 0.491824, acc: 0.742188] [adversarial loss: 1.143061, acc: 0.218750] 2273: [discriminator loss: 0.545034, acc: 0.710938] [adversarial loss: 1.623260, acc: 0.125000] 2274: [discriminator loss: 0.478401, acc: 0.750000] [adversarial loss: 1.125435, acc: 0.250000] 2275: [discriminator loss: 0.574632, acc: 0.664062] [adversarial loss: 1.265543, acc: 0.203125] 2276: [discriminator loss: 0.525873, acc: 0.742188] [adversarial loss: 1.136742, acc: 0.296875] 2277: [discriminator loss: 0.552373, acc: 0.703125] [adversarial loss: 1.456640, acc: 0.109375] 2278: [discriminator loss: 0.453706, acc: 0.796875] [adversarial loss: 1.114913, acc: 0.296875] 2279: [discriminator loss: 0.563684, acc: 0.726562] [adversarial loss: 1.765302, acc: 0.093750] 2280: [discriminator loss: 0.501804, acc: 0.765625] [adversarial loss: 0.930582, acc: 0.406250] 2281: [discriminator loss: 0.582716, acc: 0.656250] [adversarial loss: 2.119148, acc: 0.046875] 2282: [discriminator loss: 0.644505, acc: 0.617188] [adversarial loss: 0.686556, acc: 0.562500] 2283: [discriminator loss: 0.529487, acc: 0.750000] [adversarial loss: 1.710266, acc: 0.078125] 2284: [discriminator loss: 0.464932, acc: 0.773438] [adversarial loss: 1.198438, acc: 0.203125] 2285: [discriminator loss: 0.461841, acc: 0.742188] [adversarial loss: 1.301682, acc: 0.218750] 2286: [discriminator loss: 0.565820, acc: 0.718750] [adversarial loss: 1.420232, acc: 0.218750] 2287: [discriminator loss: 0.471812, acc: 0.765625] [adversarial loss: 1.091476, acc: 0.265625] 2288: [discriminator loss: 0.493293, acc: 0.781250] [adversarial loss: 1.536016, acc: 0.125000] 2289: [discriminator loss: 0.490531, acc: 0.750000] [adversarial loss: 1.363465, acc: 0.250000] 2290: [discriminator loss: 0.482002, acc: 0.765625] [adversarial loss: 1.524832, acc: 0.156250] 2291: [discriminator loss: 0.648687, acc: 0.648438] [adversarial loss: 0.977546, acc: 0.390625] 2292: [discriminator loss: 0.594060, acc: 0.695312] [adversarial loss: 1.948786, acc: 0.046875] 2293: [discriminator loss: 0.589751, acc: 0.679688] [adversarial loss: 0.960623, acc: 0.359375] 2294: [discriminator loss: 0.554470, acc: 0.687500] [adversarial loss: 1.435397, acc: 0.156250] 2295: [discriminator loss: 0.498435, acc: 0.773438] [adversarial loss: 1.232943, acc: 0.234375] 2296: [discriminator loss: 0.468774, acc: 0.812500] [adversarial loss: 1.331055, acc: 0.156250] 2297: [discriminator loss: 0.441216, acc: 0.828125] [adversarial loss: 1.526561, acc: 0.140625] 2298: [discriminator loss: 0.444672, acc: 0.812500] [adversarial loss: 1.119164, acc: 0.265625] 2299: [discriminator loss: 0.506489, acc: 0.757812] [adversarial loss: 1.268444, acc: 0.156250] 2300: [discriminator loss: 0.497146, acc: 0.773438] [adversarial loss: 0.903812, acc: 0.406250] 2301: [discriminator loss: 0.547293, acc: 0.718750] [adversarial loss: 1.854869, acc: 0.078125] 2302: [discriminator loss: 0.478796, acc: 0.742188] [adversarial loss: 0.929776, acc: 0.468750] 2303: [discriminator loss: 0.520808, acc: 0.757812] [adversarial loss: 1.342163, acc: 0.265625] 2304: [discriminator loss: 0.575070, acc: 0.726562] [adversarial loss: 0.859380, acc: 0.406250] 2305: [discriminator loss: 0.525029, acc: 0.710938] [adversarial loss: 1.496824, acc: 0.125000] 2306: [discriminator loss: 0.520481, acc: 0.757812] [adversarial loss: 1.136025, acc: 0.281250] 2307: [discriminator loss: 0.520114, acc: 0.742188] [adversarial loss: 1.591713, acc: 0.140625] 2308: [discriminator loss: 0.620734, acc: 0.656250] [adversarial loss: 1.453839, acc: 0.156250] 2309: [discriminator loss: 0.606622, acc: 0.648438] [adversarial loss: 1.141218, acc: 0.281250] 2310: [discriminator loss: 0.534257, acc: 0.726562] [adversarial loss: 1.130966, acc: 0.265625] 2311: [discriminator loss: 0.476743, acc: 0.796875] [adversarial loss: 1.530578, acc: 0.156250] 2312: [discriminator loss: 0.544044, acc: 0.710938] [adversarial loss: 1.279994, acc: 0.187500] 2313: [discriminator loss: 0.482614, acc: 0.750000] [adversarial loss: 1.425273, acc: 0.109375] 2314: [discriminator loss: 0.594479, acc: 0.703125] [adversarial loss: 1.029834, acc: 0.328125] 2315: [discriminator loss: 0.513793, acc: 0.742188] [adversarial loss: 1.560425, acc: 0.031250] 2316: [discriminator loss: 0.495110, acc: 0.726562] [adversarial loss: 0.981042, acc: 0.343750] 2317: [discriminator loss: 0.550300, acc: 0.703125] [adversarial loss: 2.124312, acc: 0.031250] 2318: [discriminator loss: 0.717657, acc: 0.617188] [adversarial loss: 0.805692, acc: 0.500000] 2319: [discriminator loss: 0.563024, acc: 0.703125] [adversarial loss: 1.626447, acc: 0.093750] 2320: [discriminator loss: 0.540844, acc: 0.734375] [adversarial loss: 1.065019, acc: 0.296875] 2321: [discriminator loss: 0.511768, acc: 0.750000] [adversarial loss: 1.575647, acc: 0.093750] 2322: [discriminator loss: 0.463652, acc: 0.835938] [adversarial loss: 1.252476, acc: 0.234375] 2323: [discriminator loss: 0.464893, acc: 0.789062] [adversarial loss: 1.646717, acc: 0.125000] 2324: [discriminator loss: 0.468133, acc: 0.757812] [adversarial loss: 0.819655, acc: 0.500000] 2325: [discriminator loss: 0.545413, acc: 0.750000] [adversarial loss: 1.442106, acc: 0.187500] 2326: [discriminator loss: 0.506935, acc: 0.757812] [adversarial loss: 1.116909, acc: 0.375000] 2327: [discriminator loss: 0.477173, acc: 0.710938] [adversarial loss: 1.480978, acc: 0.203125] 2328: [discriminator loss: 0.558221, acc: 0.726562] [adversarial loss: 0.965264, acc: 0.359375] 2329: [discriminator loss: 0.616838, acc: 0.656250] [adversarial loss: 1.486273, acc: 0.203125] 2330: [discriminator loss: 0.542578, acc: 0.773438] [adversarial loss: 1.133722, acc: 0.234375] 2331: [discriminator loss: 0.522668, acc: 0.750000] [adversarial loss: 1.478674, acc: 0.078125] 2332: [discriminator loss: 0.510119, acc: 0.750000] [adversarial loss: 1.274031, acc: 0.140625] 2333: [discriminator loss: 0.427702, acc: 0.804688] [adversarial loss: 1.469891, acc: 0.203125] 2334: [discriminator loss: 0.526976, acc: 0.742188] [adversarial loss: 1.011437, acc: 0.328125] 2335: [discriminator loss: 0.468708, acc: 0.773438] [adversarial loss: 1.675068, acc: 0.093750] 2336: [discriminator loss: 0.520288, acc: 0.757812] [adversarial loss: 0.846551, acc: 0.437500] 2337: [discriminator loss: 0.545986, acc: 0.695312] [adversarial loss: 1.765738, acc: 0.046875] 2338: [discriminator loss: 0.520456, acc: 0.765625] [adversarial loss: 0.804127, acc: 0.437500] 2339: [discriminator loss: 0.601718, acc: 0.710938] [adversarial loss: 1.750210, acc: 0.140625] 2340: [discriminator loss: 0.586548, acc: 0.703125] [adversarial loss: 1.211816, acc: 0.140625] 2341: [discriminator loss: 0.439432, acc: 0.789062] [adversarial loss: 1.239519, acc: 0.218750] 2342: [discriminator loss: 0.524564, acc: 0.742188] [adversarial loss: 1.032587, acc: 0.265625] 2343: [discriminator loss: 0.543385, acc: 0.664062] [adversarial loss: 1.210410, acc: 0.187500] 2344: [discriminator loss: 0.544644, acc: 0.726562] [adversarial loss: 1.214476, acc: 0.187500] 2345: [discriminator loss: 0.526174, acc: 0.726562] [adversarial loss: 1.239819, acc: 0.187500] 2346: [discriminator loss: 0.466948, acc: 0.781250] [adversarial loss: 1.239792, acc: 0.125000] 2347: [discriminator loss: 0.494770, acc: 0.781250] [adversarial loss: 1.897651, acc: 0.031250] 2348: [discriminator loss: 0.482792, acc: 0.742188] [adversarial loss: 0.965367, acc: 0.328125] 2349: [discriminator loss: 0.572029, acc: 0.671875] [adversarial loss: 1.894941, acc: 0.031250] 2350: [discriminator loss: 0.564377, acc: 0.726562] [adversarial loss: 0.716265, acc: 0.531250] 2351: [discriminator loss: 0.515372, acc: 0.757812] [adversarial loss: 1.317659, acc: 0.218750] 2352: [discriminator loss: 0.503396, acc: 0.789062] [adversarial loss: 1.382521, acc: 0.156250] 2353: [discriminator loss: 0.549419, acc: 0.742188] [adversarial loss: 1.133879, acc: 0.218750] 2354: [discriminator loss: 0.480582, acc: 0.742188] [adversarial loss: 1.401905, acc: 0.125000] 2355: [discriminator loss: 0.462806, acc: 0.781250] [adversarial loss: 1.434741, acc: 0.156250] 2356: [discriminator loss: 0.510165, acc: 0.750000] [adversarial loss: 1.191047, acc: 0.281250] 2357: [discriminator loss: 0.531157, acc: 0.734375] [adversarial loss: 1.374735, acc: 0.250000] 2358: [discriminator loss: 0.600000, acc: 0.671875] [adversarial loss: 1.282188, acc: 0.218750] 2359: [discriminator loss: 0.448780, acc: 0.804688] [adversarial loss: 1.030329, acc: 0.312500] 2360: [discriminator loss: 0.546397, acc: 0.710938] [adversarial loss: 1.842475, acc: 0.046875] 2361: [discriminator loss: 0.596737, acc: 0.671875] [adversarial loss: 0.772784, acc: 0.500000] 2362: [discriminator loss: 0.561422, acc: 0.734375] [adversarial loss: 1.644245, acc: 0.140625] 2363: [discriminator loss: 0.506101, acc: 0.796875] [adversarial loss: 1.225726, acc: 0.218750] 2364: [discriminator loss: 0.523487, acc: 0.718750] [adversarial loss: 1.159019, acc: 0.250000] 2365: [discriminator loss: 0.447087, acc: 0.851562] [adversarial loss: 1.357006, acc: 0.234375] 2366: [discriminator loss: 0.510761, acc: 0.742188] [adversarial loss: 0.900496, acc: 0.421875] 2367: [discriminator loss: 0.613044, acc: 0.617188] [adversarial loss: 1.665906, acc: 0.078125] 2368: [discriminator loss: 0.470193, acc: 0.789062] [adversarial loss: 1.042896, acc: 0.265625] 2369: [discriminator loss: 0.516278, acc: 0.781250] [adversarial loss: 1.288213, acc: 0.250000] 2370: [discriminator loss: 0.537658, acc: 0.710938] [adversarial loss: 1.381360, acc: 0.140625] 2371: [discriminator loss: 0.539980, acc: 0.742188] [adversarial loss: 1.591879, acc: 0.109375] 2372: [discriminator loss: 0.495964, acc: 0.773438] [adversarial loss: 1.041693, acc: 0.328125] 2373: [discriminator loss: 0.494808, acc: 0.789062] [adversarial loss: 1.778705, acc: 0.062500] 2374: [discriminator loss: 0.537888, acc: 0.742188] [adversarial loss: 0.938186, acc: 0.421875] 2375: [discriminator loss: 0.631996, acc: 0.648438] [adversarial loss: 2.041129, acc: 0.093750] 2376: [discriminator loss: 0.625433, acc: 0.648438] [adversarial loss: 0.691160, acc: 0.609375] 2377: [discriminator loss: 0.574611, acc: 0.703125] [adversarial loss: 1.653565, acc: 0.109375] 2378: [discriminator loss: 0.584769, acc: 0.687500] [adversarial loss: 0.980627, acc: 0.421875] 2379: [discriminator loss: 0.549415, acc: 0.710938] [adversarial loss: 1.498384, acc: 0.203125] 2380: [discriminator loss: 0.633091, acc: 0.664062] [adversarial loss: 1.086732, acc: 0.296875] 2381: [discriminator loss: 0.494401, acc: 0.757812] [adversarial loss: 1.209835, acc: 0.156250] 2382: [discriminator loss: 0.555440, acc: 0.703125] [adversarial loss: 1.366919, acc: 0.203125] 2383: [discriminator loss: 0.534694, acc: 0.664062] [adversarial loss: 1.180716, acc: 0.234375] 2384: [discriminator loss: 0.512313, acc: 0.703125] [adversarial loss: 1.577424, acc: 0.125000] 2385: [discriminator loss: 0.450791, acc: 0.781250] [adversarial loss: 0.808383, acc: 0.500000] 2386: [discriminator loss: 0.547297, acc: 0.710938] [adversarial loss: 1.560211, acc: 0.062500] 2387: [discriminator loss: 0.534163, acc: 0.718750] [adversarial loss: 0.979321, acc: 0.359375] 2388: [discriminator loss: 0.472021, acc: 0.789062] [adversarial loss: 1.411238, acc: 0.156250] 2389: [discriminator loss: 0.493570, acc: 0.781250] [adversarial loss: 1.342132, acc: 0.156250] 2390: [discriminator loss: 0.483589, acc: 0.773438] [adversarial loss: 1.352463, acc: 0.140625] 2391: [discriminator loss: 0.560098, acc: 0.710938] [adversarial loss: 1.293921, acc: 0.265625] 2392: [discriminator loss: 0.585703, acc: 0.656250] [adversarial loss: 1.202676, acc: 0.343750] 2393: [discriminator loss: 0.456457, acc: 0.796875] [adversarial loss: 1.192274, acc: 0.234375] 2394: [discriminator loss: 0.497587, acc: 0.781250] [adversarial loss: 1.515257, acc: 0.187500] 2395: [discriminator loss: 0.449172, acc: 0.820312] [adversarial loss: 1.106491, acc: 0.234375] 2396: [discriminator loss: 0.535568, acc: 0.718750] [adversarial loss: 1.366962, acc: 0.171875] 2397: [discriminator loss: 0.490069, acc: 0.781250] [adversarial loss: 0.956508, acc: 0.375000] 2398: [discriminator loss: 0.578563, acc: 0.695312] [adversarial loss: 1.545502, acc: 0.156250] 2399: [discriminator loss: 0.555854, acc: 0.679688] [adversarial loss: 1.225715, acc: 0.218750] 2400: [discriminator loss: 0.492106, acc: 0.734375] [adversarial loss: 1.420767, acc: 0.156250] 2401: [discriminator loss: 0.589672, acc: 0.671875] [adversarial loss: 1.176558, acc: 0.234375] 2402: [discriminator loss: 0.491657, acc: 0.742188] [adversarial loss: 1.969167, acc: 0.046875] 2403: [discriminator loss: 0.516217, acc: 0.734375] [adversarial loss: 0.740153, acc: 0.484375] 2404: [discriminator loss: 0.537743, acc: 0.695312] [adversarial loss: 1.808524, acc: 0.187500] 2405: [discriminator loss: 0.522927, acc: 0.742188] [adversarial loss: 1.192506, acc: 0.203125] 2406: [discriminator loss: 0.481394, acc: 0.765625] [adversarial loss: 0.993395, acc: 0.343750] 2407: [discriminator loss: 0.479274, acc: 0.812500] [adversarial loss: 1.049586, acc: 0.296875] 2408: [discriminator loss: 0.461976, acc: 0.765625] [adversarial loss: 1.433352, acc: 0.125000] 2409: [discriminator loss: 0.554612, acc: 0.679688] [adversarial loss: 1.056035, acc: 0.343750] 2410: [discriminator loss: 0.487660, acc: 0.718750] [adversarial loss: 1.908821, acc: 0.062500] 2411: [discriminator loss: 0.482078, acc: 0.773438] [adversarial loss: 0.855276, acc: 0.468750] 2412: [discriminator loss: 0.629687, acc: 0.687500] [adversarial loss: 1.824527, acc: 0.093750] 2413: [discriminator loss: 0.643634, acc: 0.632812] [adversarial loss: 0.916220, acc: 0.437500] 2414: [discriminator loss: 0.570372, acc: 0.734375] [adversarial loss: 1.470501, acc: 0.140625] 2415: [discriminator loss: 0.579990, acc: 0.671875] [adversarial loss: 1.190406, acc: 0.312500] 2416: [discriminator loss: 0.573565, acc: 0.695312] [adversarial loss: 1.404115, acc: 0.140625] 2417: [discriminator loss: 0.498438, acc: 0.773438] [adversarial loss: 1.083627, acc: 0.234375] 2418: [discriminator loss: 0.496086, acc: 0.773438] [adversarial loss: 1.400143, acc: 0.125000] 2419: [discriminator loss: 0.495746, acc: 0.773438] [adversarial loss: 1.207115, acc: 0.265625] 2420: [discriminator loss: 0.489814, acc: 0.796875] [adversarial loss: 1.716670, acc: 0.062500] 2421: [discriminator loss: 0.470555, acc: 0.765625] [adversarial loss: 0.991216, acc: 0.296875] 2422: [discriminator loss: 0.511805, acc: 0.773438] [adversarial loss: 1.451671, acc: 0.156250] 2423: [discriminator loss: 0.515516, acc: 0.750000] [adversarial loss: 1.054707, acc: 0.359375] 2424: [discriminator loss: 0.477372, acc: 0.820312] [adversarial loss: 1.517564, acc: 0.156250] 2425: [discriminator loss: 0.514151, acc: 0.781250] [adversarial loss: 1.482813, acc: 0.171875] 2426: [discriminator loss: 0.551390, acc: 0.734375] [adversarial loss: 1.301367, acc: 0.187500] 2427: [discriminator loss: 0.564453, acc: 0.695312] [adversarial loss: 1.126181, acc: 0.296875] 2428: [discriminator loss: 0.533676, acc: 0.789062] [adversarial loss: 1.502113, acc: 0.125000] 2429: [discriminator loss: 0.472543, acc: 0.781250] [adversarial loss: 0.864237, acc: 0.453125] 2430: [discriminator loss: 0.588028, acc: 0.671875] [adversarial loss: 2.041301, acc: 0.046875] 2431: [discriminator loss: 0.607613, acc: 0.671875] [adversarial loss: 1.097329, acc: 0.281250] 2432: [discriminator loss: 0.462729, acc: 0.773438] [adversarial loss: 1.455544, acc: 0.125000] 2433: [discriminator loss: 0.505538, acc: 0.718750] [adversarial loss: 1.275873, acc: 0.187500] 2434: [discriminator loss: 0.497581, acc: 0.773438] [adversarial loss: 1.123286, acc: 0.296875] 2435: [discriminator loss: 0.541246, acc: 0.765625] [adversarial loss: 1.457965, acc: 0.125000] 2436: [discriminator loss: 0.439696, acc: 0.812500] [adversarial loss: 1.119480, acc: 0.234375] 2437: [discriminator loss: 0.525338, acc: 0.750000] [adversarial loss: 1.327165, acc: 0.250000] 2438: [discriminator loss: 0.545810, acc: 0.726562] [adversarial loss: 1.119870, acc: 0.265625] 2439: [discriminator loss: 0.480406, acc: 0.796875] [adversarial loss: 1.905532, acc: 0.031250] 2440: [discriminator loss: 0.491062, acc: 0.781250] [adversarial loss: 1.053438, acc: 0.328125] 2441: [discriminator loss: 0.505274, acc: 0.742188] [adversarial loss: 1.632591, acc: 0.078125] 2442: [discriminator loss: 0.511068, acc: 0.789062] [adversarial loss: 1.022700, acc: 0.375000] 2443: [discriminator loss: 0.477489, acc: 0.796875] [adversarial loss: 1.574738, acc: 0.109375] 2444: [discriminator loss: 0.543469, acc: 0.679688] [adversarial loss: 0.993526, acc: 0.390625] 2445: [discriminator loss: 0.497133, acc: 0.757812] [adversarial loss: 1.434777, acc: 0.109375] 2446: [discriminator loss: 0.522777, acc: 0.734375] [adversarial loss: 1.246193, acc: 0.156250] 2447: [discriminator loss: 0.457111, acc: 0.765625] [adversarial loss: 1.455068, acc: 0.187500] 2448: [discriminator loss: 0.567622, acc: 0.687500] [adversarial loss: 1.516135, acc: 0.171875] 2449: [discriminator loss: 0.491521, acc: 0.781250] [adversarial loss: 1.334210, acc: 0.156250] 2450: [discriminator loss: 0.593705, acc: 0.648438] [adversarial loss: 0.921305, acc: 0.484375] 2451: [discriminator loss: 0.494945, acc: 0.765625] [adversarial loss: 1.621546, acc: 0.140625] 2452: [discriminator loss: 0.507825, acc: 0.765625] [adversarial loss: 0.901757, acc: 0.453125] 2453: [discriminator loss: 0.506705, acc: 0.757812] [adversarial loss: 1.619555, acc: 0.140625] 2454: [discriminator loss: 0.540833, acc: 0.765625] [adversarial loss: 0.948509, acc: 0.390625] 2455: [discriminator loss: 0.572641, acc: 0.726562] [adversarial loss: 1.783780, acc: 0.078125] 2456: [discriminator loss: 0.537465, acc: 0.750000] [adversarial loss: 0.912242, acc: 0.359375] 2457: [discriminator loss: 0.538061, acc: 0.718750] [adversarial loss: 1.778394, acc: 0.093750] 2458: [discriminator loss: 0.579585, acc: 0.703125] [adversarial loss: 1.009706, acc: 0.296875] 2459: [discriminator loss: 0.483154, acc: 0.773438] [adversarial loss: 1.513069, acc: 0.156250] 2460: [discriminator loss: 0.518242, acc: 0.734375] [adversarial loss: 0.964384, acc: 0.421875] 2461: [discriminator loss: 0.526361, acc: 0.710938] [adversarial loss: 1.264038, acc: 0.109375] 2462: [discriminator loss: 0.510252, acc: 0.750000] [adversarial loss: 1.143998, acc: 0.171875] 2463: [discriminator loss: 0.507398, acc: 0.742188] [adversarial loss: 1.482776, acc: 0.109375] 2464: [discriminator loss: 0.558450, acc: 0.765625] [adversarial loss: 1.239226, acc: 0.218750] 2465: [discriminator loss: 0.544259, acc: 0.757812] [adversarial loss: 1.050015, acc: 0.343750] 2466: [discriminator loss: 0.591334, acc: 0.671875] [adversarial loss: 1.562270, acc: 0.140625] 2467: [discriminator loss: 0.550616, acc: 0.671875] [adversarial loss: 0.770908, acc: 0.546875] 2468: [discriminator loss: 0.542250, acc: 0.695312] [adversarial loss: 1.841402, acc: 0.109375] 2469: [discriminator loss: 0.635427, acc: 0.664062] [adversarial loss: 0.710267, acc: 0.562500] 2470: [discriminator loss: 0.527946, acc: 0.734375] [adversarial loss: 1.704849, acc: 0.062500] 2471: [discriminator loss: 0.538919, acc: 0.734375] [adversarial loss: 1.087321, acc: 0.265625] 2472: [discriminator loss: 0.548166, acc: 0.718750] [adversarial loss: 1.242255, acc: 0.234375] 2473: [discriminator loss: 0.545410, acc: 0.695312] [adversarial loss: 1.171238, acc: 0.265625] 2474: [discriminator loss: 0.454869, acc: 0.796875] [adversarial loss: 1.164536, acc: 0.250000] 2475: [discriminator loss: 0.507058, acc: 0.734375] [adversarial loss: 1.524008, acc: 0.140625] 2476: [discriminator loss: 0.502789, acc: 0.765625] [adversarial loss: 1.063724, acc: 0.359375] 2477: [discriminator loss: 0.526411, acc: 0.726562] [adversarial loss: 1.284668, acc: 0.234375] 2478: [discriminator loss: 0.560405, acc: 0.734375] [adversarial loss: 1.449636, acc: 0.078125] 2479: [discriminator loss: 0.480228, acc: 0.789062] [adversarial loss: 1.013533, acc: 0.390625] 2480: [discriminator loss: 0.588563, acc: 0.679688] [adversarial loss: 1.554578, acc: 0.125000] 2481: [discriminator loss: 0.485469, acc: 0.718750] [adversarial loss: 1.054896, acc: 0.359375] 2482: [discriminator loss: 0.540431, acc: 0.718750] [adversarial loss: 1.853354, acc: 0.078125] 2483: [discriminator loss: 0.589077, acc: 0.679688] [adversarial loss: 0.900691, acc: 0.484375] 2484: [discriminator loss: 0.569913, acc: 0.710938] [adversarial loss: 1.678215, acc: 0.046875] 2485: [discriminator loss: 0.530743, acc: 0.726562] [adversarial loss: 1.099044, acc: 0.343750] 2486: [discriminator loss: 0.479112, acc: 0.804688] [adversarial loss: 1.386656, acc: 0.203125] 2487: [discriminator loss: 0.503607, acc: 0.789062] [adversarial loss: 1.035944, acc: 0.281250] 2488: [discriminator loss: 0.462414, acc: 0.789062] [adversarial loss: 1.477077, acc: 0.109375] 2489: [discriminator loss: 0.475619, acc: 0.796875] [adversarial loss: 1.364556, acc: 0.203125] 2490: [discriminator loss: 0.559399, acc: 0.734375] [adversarial loss: 1.283434, acc: 0.171875] 2491: [discriminator loss: 0.439911, acc: 0.796875] [adversarial loss: 1.178940, acc: 0.234375] 2492: [discriminator loss: 0.559869, acc: 0.742188] [adversarial loss: 1.385908, acc: 0.156250] 2493: [discriminator loss: 0.550731, acc: 0.687500] [adversarial loss: 0.897719, acc: 0.390625] 2494: [discriminator loss: 0.508101, acc: 0.718750] [adversarial loss: 1.814624, acc: 0.046875] 2495: [discriminator loss: 0.508105, acc: 0.742188] [adversarial loss: 0.868348, acc: 0.453125] 2496: [discriminator loss: 0.613290, acc: 0.734375] [adversarial loss: 1.554050, acc: 0.046875] 2497: [discriminator loss: 0.503857, acc: 0.734375] [adversarial loss: 0.977100, acc: 0.375000] 2498: [discriminator loss: 0.529025, acc: 0.695312] [adversarial loss: 1.538049, acc: 0.125000] 2499: [discriminator loss: 0.559569, acc: 0.703125] [adversarial loss: 1.182709, acc: 0.265625] 2500: [discriminator loss: 0.480725, acc: 0.750000] [adversarial loss: 1.096702, acc: 0.281250] 2501: [discriminator loss: 0.546880, acc: 0.734375] [adversarial loss: 1.285594, acc: 0.171875] 2502: [discriminator loss: 0.511405, acc: 0.742188] [adversarial loss: 0.945766, acc: 0.328125] 2503: [discriminator loss: 0.444320, acc: 0.820312] [adversarial loss: 1.483918, acc: 0.187500] 2504: [discriminator loss: 0.513313, acc: 0.789062] [adversarial loss: 0.973965, acc: 0.375000] 2505: [discriminator loss: 0.562268, acc: 0.664062] [adversarial loss: 1.344888, acc: 0.156250] 2506: [discriminator loss: 0.519839, acc: 0.742188] [adversarial loss: 1.109954, acc: 0.312500] 2507: [discriminator loss: 0.556211, acc: 0.718750] [adversarial loss: 1.248870, acc: 0.187500] 2508: [discriminator loss: 0.479181, acc: 0.765625] [adversarial loss: 1.252448, acc: 0.218750] 2509: [discriminator loss: 0.455091, acc: 0.812500] [adversarial loss: 1.527062, acc: 0.140625] 2510: [discriminator loss: 0.558669, acc: 0.679688] [adversarial loss: 0.997802, acc: 0.328125] 2511: [discriminator loss: 0.539466, acc: 0.726562] [adversarial loss: 1.756415, acc: 0.062500] 2512: [discriminator loss: 0.569737, acc: 0.679688] [adversarial loss: 1.162536, acc: 0.218750] 2513: [discriminator loss: 0.547336, acc: 0.742188] [adversarial loss: 1.430016, acc: 0.156250] 2514: [discriminator loss: 0.535501, acc: 0.710938] [adversarial loss: 1.197765, acc: 0.312500] 2515: [discriminator loss: 0.509783, acc: 0.734375] [adversarial loss: 1.612507, acc: 0.093750] 2516: [discriminator loss: 0.527042, acc: 0.703125] [adversarial loss: 0.874292, acc: 0.437500] 2517: [discriminator loss: 0.534544, acc: 0.695312] [adversarial loss: 1.626242, acc: 0.125000] 2518: [discriminator loss: 0.531386, acc: 0.750000] [adversarial loss: 1.246423, acc: 0.218750] 2519: [discriminator loss: 0.499210, acc: 0.710938] [adversarial loss: 1.283555, acc: 0.156250] 2520: [discriminator loss: 0.548205, acc: 0.718750] [adversarial loss: 1.310202, acc: 0.218750] 2521: [discriminator loss: 0.507986, acc: 0.734375] [adversarial loss: 1.374014, acc: 0.171875] 2522: [discriminator loss: 0.534105, acc: 0.734375] [adversarial loss: 1.474448, acc: 0.125000] 2523: [discriminator loss: 0.564550, acc: 0.679688] [adversarial loss: 1.152488, acc: 0.265625] 2524: [discriminator loss: 0.461429, acc: 0.742188] [adversarial loss: 1.681620, acc: 0.109375] 2525: [discriminator loss: 0.486651, acc: 0.750000] [adversarial loss: 1.115342, acc: 0.234375] 2526: [discriminator loss: 0.541979, acc: 0.742188] [adversarial loss: 1.412034, acc: 0.171875] 2527: [discriminator loss: 0.509463, acc: 0.773438] [adversarial loss: 1.103521, acc: 0.281250] 2528: [discriminator loss: 0.502057, acc: 0.750000] [adversarial loss: 1.581845, acc: 0.078125] 2529: [discriminator loss: 0.469038, acc: 0.757812] [adversarial loss: 1.159190, acc: 0.312500] 2530: [discriminator loss: 0.529075, acc: 0.757812] [adversarial loss: 1.338102, acc: 0.109375] 2531: [discriminator loss: 0.458497, acc: 0.789062] [adversarial loss: 1.327169, acc: 0.218750] 2532: [discriminator loss: 0.451842, acc: 0.796875] [adversarial loss: 1.513852, acc: 0.125000] 2533: [discriminator loss: 0.477342, acc: 0.765625] [adversarial loss: 1.016952, acc: 0.296875] 2534: [discriminator loss: 0.459322, acc: 0.835938] [adversarial loss: 1.454396, acc: 0.171875] 2535: [discriminator loss: 0.527957, acc: 0.734375] [adversarial loss: 1.202970, acc: 0.234375] 2536: [discriminator loss: 0.513394, acc: 0.734375] [adversarial loss: 1.163665, acc: 0.187500] 2537: [discriminator loss: 0.542985, acc: 0.718750] [adversarial loss: 1.142166, acc: 0.328125] 2538: [discriminator loss: 0.560399, acc: 0.773438] [adversarial loss: 1.638015, acc: 0.031250] 2539: [discriminator loss: 0.529076, acc: 0.726562] [adversarial loss: 0.955255, acc: 0.500000] 2540: [discriminator loss: 0.550094, acc: 0.671875] [adversarial loss: 1.772455, acc: 0.109375] 2541: [discriminator loss: 0.535517, acc: 0.773438] [adversarial loss: 0.715918, acc: 0.500000] 2542: [discriminator loss: 0.635930, acc: 0.664062] [adversarial loss: 2.057287, acc: 0.015625] 2543: [discriminator loss: 0.618766, acc: 0.664062] [adversarial loss: 0.921285, acc: 0.421875] 2544: [discriminator loss: 0.549618, acc: 0.703125] [adversarial loss: 1.597684, acc: 0.078125] 2545: [discriminator loss: 0.560478, acc: 0.734375] [adversarial loss: 0.974250, acc: 0.265625] 2546: [discriminator loss: 0.502156, acc: 0.812500] [adversarial loss: 1.498047, acc: 0.093750] 2547: [discriminator loss: 0.501173, acc: 0.781250] [adversarial loss: 1.078941, acc: 0.281250] 2548: [discriminator loss: 0.469734, acc: 0.796875] [adversarial loss: 1.402958, acc: 0.078125] 2549: [discriminator loss: 0.576215, acc: 0.679688] [adversarial loss: 1.037330, acc: 0.296875] 2550: [discriminator loss: 0.564454, acc: 0.710938] [adversarial loss: 1.416803, acc: 0.125000] 2551: [discriminator loss: 0.494706, acc: 0.750000] [adversarial loss: 1.323487, acc: 0.187500] 2552: [discriminator loss: 0.502064, acc: 0.781250] [adversarial loss: 1.143381, acc: 0.234375] 2553: [discriminator loss: 0.505163, acc: 0.757812] [adversarial loss: 1.186953, acc: 0.234375] 2554: [discriminator loss: 0.418527, acc: 0.820312] [adversarial loss: 1.747558, acc: 0.078125] 2555: [discriminator loss: 0.443520, acc: 0.820312] [adversarial loss: 1.049203, acc: 0.312500] 2556: [discriminator loss: 0.568466, acc: 0.726562] [adversarial loss: 1.637307, acc: 0.093750] 2557: [discriminator loss: 0.518795, acc: 0.742188] [adversarial loss: 0.823933, acc: 0.515625] 2558: [discriminator loss: 0.566549, acc: 0.687500] [adversarial loss: 1.842125, acc: 0.046875] 2559: [discriminator loss: 0.509054, acc: 0.742188] [adversarial loss: 1.104244, acc: 0.218750] 2560: [discriminator loss: 0.610614, acc: 0.710938] [adversarial loss: 1.286961, acc: 0.218750] 2561: [discriminator loss: 0.568768, acc: 0.750000] [adversarial loss: 0.975149, acc: 0.328125] 2562: [discriminator loss: 0.499199, acc: 0.750000] [adversarial loss: 1.364336, acc: 0.203125] 2563: [discriminator loss: 0.488986, acc: 0.734375] [adversarial loss: 1.111161, acc: 0.296875] 2564: [discriminator loss: 0.536508, acc: 0.742188] [adversarial loss: 1.325427, acc: 0.171875] 2565: [discriminator loss: 0.581084, acc: 0.710938] [adversarial loss: 1.117549, acc: 0.281250] 2566: [discriminator loss: 0.430279, acc: 0.828125] [adversarial loss: 1.270662, acc: 0.203125] 2567: [discriminator loss: 0.511689, acc: 0.734375] [adversarial loss: 1.234609, acc: 0.234375] 2568: [discriminator loss: 0.466881, acc: 0.757812] [adversarial loss: 1.162342, acc: 0.234375] 2569: [discriminator loss: 0.542107, acc: 0.703125] [adversarial loss: 1.542681, acc: 0.093750] 2570: [discriminator loss: 0.494000, acc: 0.765625] [adversarial loss: 0.963179, acc: 0.375000] 2571: [discriminator loss: 0.591552, acc: 0.656250] [adversarial loss: 1.739708, acc: 0.093750] 2572: [discriminator loss: 0.523002, acc: 0.742188] [adversarial loss: 1.039575, acc: 0.218750] 2573: [discriminator loss: 0.482445, acc: 0.773438] [adversarial loss: 1.283640, acc: 0.203125] 2574: [discriminator loss: 0.564638, acc: 0.695312] [adversarial loss: 1.229942, acc: 0.218750] 2575: [discriminator loss: 0.466906, acc: 0.804688] [adversarial loss: 1.346898, acc: 0.156250] 2576: [discriminator loss: 0.516439, acc: 0.734375] [adversarial loss: 1.065316, acc: 0.312500] 2577: [discriminator loss: 0.498749, acc: 0.765625] [adversarial loss: 1.245032, acc: 0.250000] 2578: [discriminator loss: 0.477405, acc: 0.742188] [adversarial loss: 0.982016, acc: 0.406250] 2579: [discriminator loss: 0.571262, acc: 0.671875] [adversarial loss: 1.525937, acc: 0.093750] 2580: [discriminator loss: 0.481002, acc: 0.789062] [adversarial loss: 1.022027, acc: 0.265625] 2581: [discriminator loss: 0.522404, acc: 0.757812] [adversarial loss: 1.368542, acc: 0.125000] 2582: [discriminator loss: 0.526504, acc: 0.695312] [adversarial loss: 1.073896, acc: 0.343750] 2583: [discriminator loss: 0.563286, acc: 0.679688] [adversarial loss: 1.936754, acc: 0.031250] 2584: [discriminator loss: 0.532646, acc: 0.734375] [adversarial loss: 0.734251, acc: 0.500000] 2585: [discriminator loss: 0.610334, acc: 0.617188] [adversarial loss: 1.592121, acc: 0.125000] 2586: [discriminator loss: 0.637159, acc: 0.664062] [adversarial loss: 1.091756, acc: 0.281250] 2587: [discriminator loss: 0.494987, acc: 0.734375] [adversarial loss: 1.076757, acc: 0.328125] 2588: [discriminator loss: 0.550702, acc: 0.750000] [adversarial loss: 1.242538, acc: 0.171875] 2589: [discriminator loss: 0.483603, acc: 0.773438] [adversarial loss: 1.193726, acc: 0.250000] 2590: [discriminator loss: 0.501193, acc: 0.765625] [adversarial loss: 1.269717, acc: 0.234375] 2591: [discriminator loss: 0.498405, acc: 0.773438] [adversarial loss: 1.343211, acc: 0.156250] 2592: [discriminator loss: 0.457659, acc: 0.804688] [adversarial loss: 1.022730, acc: 0.328125] 2593: [discriminator loss: 0.546664, acc: 0.726562] [adversarial loss: 1.720988, acc: 0.062500] 2594: [discriminator loss: 0.505582, acc: 0.765625] [adversarial loss: 0.914724, acc: 0.390625] 2595: [discriminator loss: 0.518375, acc: 0.765625] [adversarial loss: 1.404433, acc: 0.125000] 2596: [discriminator loss: 0.543363, acc: 0.742188] [adversarial loss: 0.944751, acc: 0.343750] 2597: [discriminator loss: 0.544838, acc: 0.664062] [adversarial loss: 1.730946, acc: 0.093750] 2598: [discriminator loss: 0.519421, acc: 0.726562] [adversarial loss: 0.889649, acc: 0.328125] 2599: [discriminator loss: 0.573749, acc: 0.664062] [adversarial loss: 1.697722, acc: 0.140625] 2600: [discriminator loss: 0.556734, acc: 0.710938] [adversarial loss: 1.049993, acc: 0.203125] 2601: [discriminator loss: 0.500347, acc: 0.789062] [adversarial loss: 1.479027, acc: 0.031250] 2602: [discriminator loss: 0.454141, acc: 0.765625] [adversarial loss: 1.223004, acc: 0.250000] 2603: [discriminator loss: 0.542579, acc: 0.695312] [adversarial loss: 1.376127, acc: 0.109375] 2604: [discriminator loss: 0.522686, acc: 0.750000] [adversarial loss: 1.008028, acc: 0.343750] 2605: [discriminator loss: 0.534090, acc: 0.750000] [adversarial loss: 1.353500, acc: 0.171875] 2606: [discriminator loss: 0.531759, acc: 0.718750] [adversarial loss: 1.345412, acc: 0.250000] 2607: [discriminator loss: 0.441769, acc: 0.828125] [adversarial loss: 1.294728, acc: 0.156250] 2608: [discriminator loss: 0.485788, acc: 0.750000] [adversarial loss: 1.342363, acc: 0.140625] 2609: [discriminator loss: 0.482925, acc: 0.757812] [adversarial loss: 1.394471, acc: 0.140625] 2610: [discriminator loss: 0.497367, acc: 0.765625] [adversarial loss: 1.204922, acc: 0.234375] 2611: [discriminator loss: 0.490730, acc: 0.796875] [adversarial loss: 1.233970, acc: 0.265625] 2612: [discriminator loss: 0.521529, acc: 0.718750] [adversarial loss: 1.237714, acc: 0.234375] 2613: [discriminator loss: 0.574849, acc: 0.703125] [adversarial loss: 1.239654, acc: 0.171875] 2614: [discriminator loss: 0.506449, acc: 0.781250] [adversarial loss: 1.403683, acc: 0.203125] 2615: [discriminator loss: 0.512259, acc: 0.750000] [adversarial loss: 0.836602, acc: 0.515625] 2616: [discriminator loss: 0.546954, acc: 0.726562] [adversarial loss: 1.831523, acc: 0.046875] 2617: [discriminator loss: 0.602093, acc: 0.656250] [adversarial loss: 0.741267, acc: 0.546875] 2618: [discriminator loss: 0.486571, acc: 0.789062] [adversarial loss: 1.466426, acc: 0.140625] 2619: [discriminator loss: 0.518807, acc: 0.703125] [adversarial loss: 1.240520, acc: 0.203125] 2620: [discriminator loss: 0.640718, acc: 0.640625] [adversarial loss: 1.229510, acc: 0.218750] 2621: [discriminator loss: 0.482135, acc: 0.789062] [adversarial loss: 1.317531, acc: 0.234375] 2622: [discriminator loss: 0.395046, acc: 0.851562] [adversarial loss: 1.087116, acc: 0.437500] 2623: [discriminator loss: 0.591051, acc: 0.656250] [adversarial loss: 1.435482, acc: 0.109375] 2624: [discriminator loss: 0.520312, acc: 0.765625] [adversarial loss: 1.099569, acc: 0.359375] 2625: [discriminator loss: 0.516466, acc: 0.757812] [adversarial loss: 1.193017, acc: 0.203125] 2626: [discriminator loss: 0.512790, acc: 0.750000] [adversarial loss: 1.806769, acc: 0.046875] 2627: [discriminator loss: 0.547261, acc: 0.726562] [adversarial loss: 0.882732, acc: 0.375000] 2628: [discriminator loss: 0.562149, acc: 0.679688] [adversarial loss: 1.948404, acc: 0.046875] 2629: [discriminator loss: 0.538850, acc: 0.750000] [adversarial loss: 0.857286, acc: 0.500000] 2630: [discriminator loss: 0.616308, acc: 0.632812] [adversarial loss: 1.642061, acc: 0.187500] 2631: [discriminator loss: 0.507714, acc: 0.765625] [adversarial loss: 1.374904, acc: 0.109375] 2632: [discriminator loss: 0.454893, acc: 0.820312] [adversarial loss: 1.341707, acc: 0.109375] 2633: [discriminator loss: 0.442724, acc: 0.789062] [adversarial loss: 1.370035, acc: 0.234375] 2634: [discriminator loss: 0.480712, acc: 0.765625] [adversarial loss: 1.286933, acc: 0.187500] 2635: [discriminator loss: 0.524635, acc: 0.710938] [adversarial loss: 1.225066, acc: 0.328125] 2636: [discriminator loss: 0.544165, acc: 0.718750] [adversarial loss: 1.468789, acc: 0.171875] 2637: [discriminator loss: 0.564844, acc: 0.703125] [adversarial loss: 1.019514, acc: 0.328125] 2638: [discriminator loss: 0.493890, acc: 0.734375] [adversarial loss: 1.579709, acc: 0.109375] 2639: [discriminator loss: 0.534788, acc: 0.742188] [adversarial loss: 0.971680, acc: 0.343750] 2640: [discriminator loss: 0.505569, acc: 0.742188] [adversarial loss: 1.235049, acc: 0.265625] 2641: [discriminator loss: 0.465944, acc: 0.789062] [adversarial loss: 1.120982, acc: 0.281250] 2642: [discriminator loss: 0.531330, acc: 0.765625] [adversarial loss: 1.268299, acc: 0.156250] 2643: [discriminator loss: 0.488440, acc: 0.765625] [adversarial loss: 1.399238, acc: 0.156250] 2644: [discriminator loss: 0.577820, acc: 0.687500] [adversarial loss: 1.247876, acc: 0.187500] 2645: [discriminator loss: 0.472726, acc: 0.765625] [adversarial loss: 1.225501, acc: 0.218750] 2646: [discriminator loss: 0.415552, acc: 0.812500] [adversarial loss: 1.560856, acc: 0.171875] 2647: [discriminator loss: 0.497305, acc: 0.750000] [adversarial loss: 0.730940, acc: 0.515625] 2648: [discriminator loss: 0.604267, acc: 0.679688] [adversarial loss: 1.839710, acc: 0.078125] 2649: [discriminator loss: 0.586546, acc: 0.687500] [adversarial loss: 0.793893, acc: 0.468750] 2650: [discriminator loss: 0.511696, acc: 0.726562] [adversarial loss: 1.703073, acc: 0.156250] 2651: [discriminator loss: 0.537053, acc: 0.718750] [adversarial loss: 0.890918, acc: 0.484375] 2652: [discriminator loss: 0.634770, acc: 0.656250] [adversarial loss: 1.842844, acc: 0.093750] 2653: [discriminator loss: 0.518953, acc: 0.734375] [adversarial loss: 1.082041, acc: 0.203125] 2654: [discriminator loss: 0.554397, acc: 0.703125] [adversarial loss: 1.477121, acc: 0.203125] 2655: [discriminator loss: 0.509066, acc: 0.726562] [adversarial loss: 1.322061, acc: 0.218750] 2656: [discriminator loss: 0.529298, acc: 0.726562] [adversarial loss: 1.053750, acc: 0.265625] 2657: [discriminator loss: 0.514918, acc: 0.734375] [adversarial loss: 1.524145, acc: 0.078125] 2658: [discriminator loss: 0.490821, acc: 0.773438] [adversarial loss: 1.141587, acc: 0.250000] 2659: [discriminator loss: 0.447106, acc: 0.796875] [adversarial loss: 1.401677, acc: 0.140625] 2660: [discriminator loss: 0.494470, acc: 0.734375] [adversarial loss: 1.208272, acc: 0.234375] 2661: [discriminator loss: 0.459147, acc: 0.789062] [adversarial loss: 1.188476, acc: 0.218750] 2662: [discriminator loss: 0.570888, acc: 0.695312] [adversarial loss: 1.221086, acc: 0.218750] 2663: [discriminator loss: 0.506064, acc: 0.765625] [adversarial loss: 1.100385, acc: 0.250000] 2664: [discriminator loss: 0.512717, acc: 0.765625] [adversarial loss: 1.823516, acc: 0.140625] 2665: [discriminator loss: 0.497106, acc: 0.734375] [adversarial loss: 1.091460, acc: 0.296875] 2666: [discriminator loss: 0.454481, acc: 0.789062] [adversarial loss: 1.552490, acc: 0.171875] 2667: [discriminator loss: 0.491464, acc: 0.750000] [adversarial loss: 1.021400, acc: 0.359375] 2668: [discriminator loss: 0.524659, acc: 0.734375] [adversarial loss: 1.273001, acc: 0.218750] 2669: [discriminator loss: 0.458044, acc: 0.757812] [adversarial loss: 1.272994, acc: 0.187500] 2670: [discriminator loss: 0.538193, acc: 0.734375] [adversarial loss: 1.956643, acc: 0.078125] 2671: [discriminator loss: 0.572441, acc: 0.710938] [adversarial loss: 1.060951, acc: 0.312500] 2672: [discriminator loss: 0.446084, acc: 0.765625] [adversarial loss: 1.563329, acc: 0.125000] 2673: [discriminator loss: 0.561700, acc: 0.773438] [adversarial loss: 1.112089, acc: 0.234375] 2674: [discriminator loss: 0.468012, acc: 0.765625] [adversarial loss: 1.731241, acc: 0.062500] 2675: [discriminator loss: 0.573732, acc: 0.710938] [adversarial loss: 0.967340, acc: 0.375000] 2676: [discriminator loss: 0.627461, acc: 0.648438] [adversarial loss: 1.701200, acc: 0.109375] 2677: [discriminator loss: 0.568433, acc: 0.734375] [adversarial loss: 0.990132, acc: 0.343750] 2678: [discriminator loss: 0.645832, acc: 0.679688] [adversarial loss: 1.746317, acc: 0.140625] 2679: [discriminator loss: 0.524354, acc: 0.750000] [adversarial loss: 0.949607, acc: 0.375000] 2680: [discriminator loss: 0.601915, acc: 0.718750] [adversarial loss: 1.379407, acc: 0.140625] 2681: [discriminator loss: 0.472918, acc: 0.773438] [adversarial loss: 1.099288, acc: 0.250000] 2682: [discriminator loss: 0.491850, acc: 0.804688] [adversarial loss: 0.987589, acc: 0.359375] 2683: [discriminator loss: 0.506812, acc: 0.734375] [adversarial loss: 1.442988, acc: 0.109375] 2684: [discriminator loss: 0.519775, acc: 0.710938] [adversarial loss: 1.111882, acc: 0.218750] 2685: [discriminator loss: 0.523055, acc: 0.750000] [adversarial loss: 1.318668, acc: 0.203125] 2686: [discriminator loss: 0.528086, acc: 0.710938] [adversarial loss: 0.890636, acc: 0.390625] 2687: [discriminator loss: 0.503687, acc: 0.718750] [adversarial loss: 1.609736, acc: 0.140625] 2688: [discriminator loss: 0.475521, acc: 0.734375] [adversarial loss: 1.102587, acc: 0.312500] 2689: [discriminator loss: 0.567324, acc: 0.718750] [adversarial loss: 1.511584, acc: 0.156250] 2690: [discriminator loss: 0.557188, acc: 0.718750] [adversarial loss: 1.271221, acc: 0.234375] 2691: [discriminator loss: 0.421239, acc: 0.796875] [adversarial loss: 1.052374, acc: 0.265625] 2692: [discriminator loss: 0.461421, acc: 0.812500] [adversarial loss: 1.583383, acc: 0.109375] 2693: [discriminator loss: 0.560074, acc: 0.679688] [adversarial loss: 1.414175, acc: 0.140625] 2694: [discriminator loss: 0.459728, acc: 0.781250] [adversarial loss: 1.187209, acc: 0.234375] 2695: [discriminator loss: 0.490848, acc: 0.757812] [adversarial loss: 1.259827, acc: 0.156250] 2696: [discriminator loss: 0.447703, acc: 0.781250] [adversarial loss: 1.876208, acc: 0.015625] 2697: [discriminator loss: 0.560116, acc: 0.687500] [adversarial loss: 0.754465, acc: 0.562500] 2698: [discriminator loss: 0.585534, acc: 0.664062] [adversarial loss: 2.091501, acc: 0.031250] 2699: [discriminator loss: 0.591491, acc: 0.679688] [adversarial loss: 0.877053, acc: 0.375000] 2700: [discriminator loss: 0.533856, acc: 0.718750] [adversarial loss: 1.670184, acc: 0.015625] 2701: [discriminator loss: 0.535246, acc: 0.734375] [adversarial loss: 1.156319, acc: 0.218750] 2702: [discriminator loss: 0.499632, acc: 0.750000] [adversarial loss: 1.405539, acc: 0.140625] 2703: [discriminator loss: 0.549543, acc: 0.695312] [adversarial loss: 1.370172, acc: 0.187500] 2704: [discriminator loss: 0.522610, acc: 0.734375] [adversarial loss: 1.124736, acc: 0.234375] 2705: [discriminator loss: 0.457193, acc: 0.765625] [adversarial loss: 1.287755, acc: 0.187500] 2706: [discriminator loss: 0.463212, acc: 0.750000] [adversarial loss: 1.396993, acc: 0.156250] 2707: [discriminator loss: 0.499426, acc: 0.773438] [adversarial loss: 1.212210, acc: 0.218750] 2708: [discriminator loss: 0.564192, acc: 0.718750] [adversarial loss: 1.166172, acc: 0.312500] 2709: [discriminator loss: 0.500689, acc: 0.726562] [adversarial loss: 1.459610, acc: 0.156250] 2710: [discriminator loss: 0.457284, acc: 0.804688] [adversarial loss: 0.927622, acc: 0.390625] 2711: [discriminator loss: 0.525961, acc: 0.742188] [adversarial loss: 1.670612, acc: 0.093750] 2712: [discriminator loss: 0.593862, acc: 0.609375] [adversarial loss: 0.918562, acc: 0.390625] 2713: [discriminator loss: 0.565134, acc: 0.695312] [adversarial loss: 1.550415, acc: 0.062500] 2714: [discriminator loss: 0.516242, acc: 0.687500] [adversarial loss: 0.933486, acc: 0.437500] 2715: [discriminator loss: 0.506941, acc: 0.718750] [adversarial loss: 1.452627, acc: 0.187500] 2716: [discriminator loss: 0.512967, acc: 0.765625] [adversarial loss: 1.337270, acc: 0.203125] 2717: [discriminator loss: 0.545878, acc: 0.710938] [adversarial loss: 1.079566, acc: 0.296875] 2718: [discriminator loss: 0.488927, acc: 0.757812] [adversarial loss: 1.294144, acc: 0.203125] 2719: [discriminator loss: 0.464548, acc: 0.734375] [adversarial loss: 1.354570, acc: 0.203125] 2720: [discriminator loss: 0.557043, acc: 0.710938] [adversarial loss: 1.593776, acc: 0.109375] 2721: [discriminator loss: 0.508032, acc: 0.750000] [adversarial loss: 1.106683, acc: 0.250000] 2722: [discriminator loss: 0.559809, acc: 0.750000] [adversarial loss: 1.522160, acc: 0.125000] 2723: [discriminator loss: 0.520182, acc: 0.734375] [adversarial loss: 1.032100, acc: 0.343750] 2724: [discriminator loss: 0.542902, acc: 0.703125] [adversarial loss: 1.565349, acc: 0.187500] 2725: [discriminator loss: 0.571025, acc: 0.679688] [adversarial loss: 0.920183, acc: 0.359375] 2726: [discriminator loss: 0.540542, acc: 0.718750] [adversarial loss: 1.477191, acc: 0.140625] 2727: [discriminator loss: 0.510316, acc: 0.757812] [adversarial loss: 1.043684, acc: 0.328125] 2728: [discriminator loss: 0.524821, acc: 0.765625] [adversarial loss: 1.613030, acc: 0.140625] 2729: [discriminator loss: 0.506367, acc: 0.742188] [adversarial loss: 1.237659, acc: 0.203125] 2730: [discriminator loss: 0.562739, acc: 0.718750] [adversarial loss: 1.661945, acc: 0.109375] 2731: [discriminator loss: 0.588952, acc: 0.703125] [adversarial loss: 1.029289, acc: 0.312500] 2732: [discriminator loss: 0.522966, acc: 0.734375] [adversarial loss: 1.791091, acc: 0.062500] 2733: [discriminator loss: 0.553010, acc: 0.703125] [adversarial loss: 0.811246, acc: 0.468750] 2734: [discriminator loss: 0.592066, acc: 0.703125] [adversarial loss: 1.395037, acc: 0.218750] 2735: [discriminator loss: 0.587004, acc: 0.695312] [adversarial loss: 1.267355, acc: 0.171875] 2736: [discriminator loss: 0.491085, acc: 0.781250] [adversarial loss: 1.604096, acc: 0.078125] 2737: [discriminator loss: 0.422297, acc: 0.812500] [adversarial loss: 1.172385, acc: 0.250000] 2738: [discriminator loss: 0.472318, acc: 0.804688] [adversarial loss: 1.162348, acc: 0.265625] 2739: [discriminator loss: 0.500627, acc: 0.742188] [adversarial loss: 1.405902, acc: 0.125000] 2740: [discriminator loss: 0.560697, acc: 0.750000] [adversarial loss: 1.597404, acc: 0.109375] 2741: [discriminator loss: 0.554300, acc: 0.734375] [adversarial loss: 0.888163, acc: 0.390625] 2742: [discriminator loss: 0.538578, acc: 0.750000] [adversarial loss: 1.834211, acc: 0.093750] 2743: [discriminator loss: 0.585305, acc: 0.687500] [adversarial loss: 0.819048, acc: 0.468750] 2744: [discriminator loss: 0.458104, acc: 0.804688] [adversarial loss: 1.767044, acc: 0.078125] 2745: [discriminator loss: 0.519488, acc: 0.765625] [adversarial loss: 0.960987, acc: 0.421875] 2746: [discriminator loss: 0.519929, acc: 0.765625] [adversarial loss: 1.145869, acc: 0.218750] 2747: [discriminator loss: 0.494792, acc: 0.765625] [adversarial loss: 1.123593, acc: 0.312500] 2748: [discriminator loss: 0.510177, acc: 0.796875] [adversarial loss: 1.149038, acc: 0.312500] 2749: [discriminator loss: 0.515996, acc: 0.734375] [adversarial loss: 1.323509, acc: 0.187500] 2750: [discriminator loss: 0.520270, acc: 0.757812] [adversarial loss: 1.379103, acc: 0.171875] 2751: [discriminator loss: 0.541116, acc: 0.734375] [adversarial loss: 1.213965, acc: 0.312500] 2752: [discriminator loss: 0.535730, acc: 0.750000] [adversarial loss: 1.287429, acc: 0.187500] 2753: [discriminator loss: 0.466209, acc: 0.773438] [adversarial loss: 1.201728, acc: 0.203125] 2754: [discriminator loss: 0.494753, acc: 0.757812] [adversarial loss: 1.477081, acc: 0.187500] 2755: [discriminator loss: 0.535313, acc: 0.734375] [adversarial loss: 1.124923, acc: 0.234375] 2756: [discriminator loss: 0.555900, acc: 0.718750] [adversarial loss: 1.535752, acc: 0.093750] 2757: [discriminator loss: 0.481799, acc: 0.773438] [adversarial loss: 1.137152, acc: 0.265625] 2758: [discriminator loss: 0.492725, acc: 0.734375] [adversarial loss: 1.988829, acc: 0.015625] 2759: [discriminator loss: 0.512105, acc: 0.750000] [adversarial loss: 1.059075, acc: 0.343750] 2760: [discriminator loss: 0.465075, acc: 0.781250] [adversarial loss: 1.192965, acc: 0.187500] 2761: [discriminator loss: 0.500237, acc: 0.757812] [adversarial loss: 1.274900, acc: 0.187500] 2762: [discriminator loss: 0.514349, acc: 0.742188] [adversarial loss: 1.161117, acc: 0.265625] 2763: [discriminator loss: 0.549264, acc: 0.726562] [adversarial loss: 1.397644, acc: 0.203125] 2764: [discriminator loss: 0.545562, acc: 0.703125] [adversarial loss: 1.010407, acc: 0.390625] 2765: [discriminator loss: 0.514612, acc: 0.718750] [adversarial loss: 1.403735, acc: 0.140625] 2766: [discriminator loss: 0.519159, acc: 0.703125] [adversarial loss: 1.031792, acc: 0.328125] 2767: [discriminator loss: 0.497424, acc: 0.750000] [adversarial loss: 1.630469, acc: 0.031250] 2768: [discriminator loss: 0.486258, acc: 0.765625] [adversarial loss: 0.914361, acc: 0.406250] 2769: [discriminator loss: 0.573143, acc: 0.687500] [adversarial loss: 1.613343, acc: 0.125000] 2770: [discriminator loss: 0.545714, acc: 0.710938] [adversarial loss: 1.011191, acc: 0.250000] 2771: [discriminator loss: 0.536651, acc: 0.742188] [adversarial loss: 1.633811, acc: 0.109375] 2772: [discriminator loss: 0.514772, acc: 0.757812] [adversarial loss: 1.239573, acc: 0.203125] 2773: [discriminator loss: 0.531308, acc: 0.718750] [adversarial loss: 1.285995, acc: 0.125000] 2774: [discriminator loss: 0.402840, acc: 0.828125] [adversarial loss: 1.167770, acc: 0.218750] 2775: [discriminator loss: 0.474988, acc: 0.820312] [adversarial loss: 1.403011, acc: 0.109375] 2776: [discriminator loss: 0.462610, acc: 0.804688] [adversarial loss: 1.620482, acc: 0.125000] 2777: [discriminator loss: 0.544728, acc: 0.726562] [adversarial loss: 0.991025, acc: 0.359375] 2778: [discriminator loss: 0.488866, acc: 0.804688] [adversarial loss: 1.333347, acc: 0.234375] 2779: [discriminator loss: 0.590093, acc: 0.679688] [adversarial loss: 1.334507, acc: 0.203125] 2780: [discriminator loss: 0.485060, acc: 0.757812] [adversarial loss: 1.493350, acc: 0.109375] 2781: [discriminator loss: 0.512804, acc: 0.718750] [adversarial loss: 0.970454, acc: 0.343750] 2782: [discriminator loss: 0.524537, acc: 0.765625] [adversarial loss: 1.836967, acc: 0.046875] 2783: [discriminator loss: 0.583664, acc: 0.710938] [adversarial loss: 0.846752, acc: 0.453125] 2784: [discriminator loss: 0.519530, acc: 0.718750] [adversarial loss: 1.932345, acc: 0.031250] 2785: [discriminator loss: 0.625092, acc: 0.687500] [adversarial loss: 0.820453, acc: 0.515625] 2786: [discriminator loss: 0.546913, acc: 0.703125] [adversarial loss: 1.613203, acc: 0.140625] 2787: [discriminator loss: 0.567329, acc: 0.718750] [adversarial loss: 0.980730, acc: 0.296875] 2788: [discriminator loss: 0.512525, acc: 0.773438] [adversarial loss: 1.461806, acc: 0.187500] 2789: [discriminator loss: 0.466502, acc: 0.773438] [adversarial loss: 1.224737, acc: 0.281250] 2790: [discriminator loss: 0.468682, acc: 0.796875] [adversarial loss: 1.475387, acc: 0.093750] 2791: [discriminator loss: 0.487953, acc: 0.726562] [adversarial loss: 1.210160, acc: 0.328125] 2792: [discriminator loss: 0.475257, acc: 0.789062] [adversarial loss: 1.561741, acc: 0.109375] 2793: [discriminator loss: 0.517476, acc: 0.734375] [adversarial loss: 1.180839, acc: 0.234375] 2794: [discriminator loss: 0.544051, acc: 0.734375] [adversarial loss: 1.580312, acc: 0.140625] 2795: [discriminator loss: 0.650265, acc: 0.640625] [adversarial loss: 1.036611, acc: 0.265625] 2796: [discriminator loss: 0.555487, acc: 0.718750] [adversarial loss: 1.669331, acc: 0.046875] 2797: [discriminator loss: 0.555705, acc: 0.687500] [adversarial loss: 0.959077, acc: 0.390625] 2798: [discriminator loss: 0.530283, acc: 0.710938] [adversarial loss: 1.624624, acc: 0.078125] 2799: [discriminator loss: 0.536224, acc: 0.734375] [adversarial loss: 0.982810, acc: 0.406250] 2800: [discriminator loss: 0.515716, acc: 0.726562] [adversarial loss: 1.340018, acc: 0.218750] 2801: [discriminator loss: 0.481883, acc: 0.765625] [adversarial loss: 1.035964, acc: 0.296875] 2802: [discriminator loss: 0.517798, acc: 0.765625] [adversarial loss: 1.636077, acc: 0.093750] 2803: [discriminator loss: 0.540620, acc: 0.695312] [adversarial loss: 1.449814, acc: 0.125000] 2804: [discriminator loss: 0.549292, acc: 0.742188] [adversarial loss: 1.485469, acc: 0.109375] 2805: [discriminator loss: 0.519633, acc: 0.734375] [adversarial loss: 1.130603, acc: 0.281250] 2806: [discriminator loss: 0.570691, acc: 0.710938] [adversarial loss: 1.589635, acc: 0.078125] 2807: [discriminator loss: 0.474802, acc: 0.773438] [adversarial loss: 1.178664, acc: 0.250000] 2808: [discriminator loss: 0.449429, acc: 0.789062] [adversarial loss: 1.583792, acc: 0.125000] 2809: [discriminator loss: 0.581492, acc: 0.718750] [adversarial loss: 0.953747, acc: 0.359375] 2810: [discriminator loss: 0.552960, acc: 0.695312] [adversarial loss: 1.586096, acc: 0.062500] 2811: [discriminator loss: 0.512167, acc: 0.750000] [adversarial loss: 0.861122, acc: 0.484375] 2812: [discriminator loss: 0.487251, acc: 0.750000] [adversarial loss: 1.558878, acc: 0.109375] 2813: [discriminator loss: 0.514800, acc: 0.750000] [adversarial loss: 1.101749, acc: 0.265625] 2814: [discriminator loss: 0.497688, acc: 0.703125] [adversarial loss: 1.065679, acc: 0.218750] 2815: [discriminator loss: 0.495945, acc: 0.773438] [adversarial loss: 1.360643, acc: 0.156250] 2816: [discriminator loss: 0.568113, acc: 0.703125] [adversarial loss: 1.258280, acc: 0.234375] 2817: [discriminator loss: 0.499910, acc: 0.757812] [adversarial loss: 1.565077, acc: 0.093750] 2818: [discriminator loss: 0.460397, acc: 0.796875] [adversarial loss: 1.228000, acc: 0.218750] 2819: [discriminator loss: 0.558918, acc: 0.695312] [adversarial loss: 1.374625, acc: 0.203125] 2820: [discriminator loss: 0.593216, acc: 0.687500] [adversarial loss: 1.166867, acc: 0.234375] 2821: [discriminator loss: 0.464046, acc: 0.820312] [adversarial loss: 1.631100, acc: 0.078125] 2822: [discriminator loss: 0.428822, acc: 0.796875] [adversarial loss: 1.003669, acc: 0.296875] 2823: [discriminator loss: 0.564910, acc: 0.687500] [adversarial loss: 1.914148, acc: 0.031250] 2824: [discriminator loss: 0.643592, acc: 0.648438] [adversarial loss: 0.794298, acc: 0.390625] 2825: [discriminator loss: 0.592549, acc: 0.687500] [adversarial loss: 1.798481, acc: 0.140625] 2826: [discriminator loss: 0.494220, acc: 0.781250] [adversarial loss: 1.127779, acc: 0.312500] 2827: [discriminator loss: 0.519567, acc: 0.726562] [adversarial loss: 1.258427, acc: 0.234375] 2828: [discriminator loss: 0.529825, acc: 0.726562] [adversarial loss: 1.347346, acc: 0.140625] 2829: [discriminator loss: 0.552367, acc: 0.718750] [adversarial loss: 1.403884, acc: 0.125000] 2830: [discriminator loss: 0.480346, acc: 0.781250] [adversarial loss: 1.360915, acc: 0.140625] 2831: [discriminator loss: 0.629022, acc: 0.656250] [adversarial loss: 1.287058, acc: 0.234375] 2832: [discriminator loss: 0.481413, acc: 0.773438] [adversarial loss: 1.490652, acc: 0.078125] 2833: [discriminator loss: 0.403236, acc: 0.828125] [adversarial loss: 1.147044, acc: 0.171875] 2834: [discriminator loss: 0.431846, acc: 0.804688] [adversarial loss: 1.618855, acc: 0.046875] 2835: [discriminator loss: 0.437497, acc: 0.828125] [adversarial loss: 0.943475, acc: 0.375000] 2836: [discriminator loss: 0.485463, acc: 0.765625] [adversarial loss: 1.439843, acc: 0.234375] 2837: [discriminator loss: 0.434168, acc: 0.804688] [adversarial loss: 1.216432, acc: 0.203125] 2838: [discriminator loss: 0.596325, acc: 0.687500] [adversarial loss: 1.201017, acc: 0.218750] 2839: [discriminator loss: 0.591699, acc: 0.703125] [adversarial loss: 1.183307, acc: 0.312500] 2840: [discriminator loss: 0.553069, acc: 0.695312] [adversarial loss: 1.667890, acc: 0.125000] 2841: [discriminator loss: 0.547995, acc: 0.750000] [adversarial loss: 0.925718, acc: 0.359375] 2842: [discriminator loss: 0.594169, acc: 0.687500] [adversarial loss: 1.700050, acc: 0.078125] 2843: [discriminator loss: 0.536826, acc: 0.726562] [adversarial loss: 0.995499, acc: 0.343750] 2844: [discriminator loss: 0.519752, acc: 0.734375] [adversarial loss: 1.445788, acc: 0.187500] 2845: [discriminator loss: 0.585645, acc: 0.687500] [adversarial loss: 0.830416, acc: 0.437500] 2846: [discriminator loss: 0.443498, acc: 0.859375] [adversarial loss: 1.550892, acc: 0.109375] 2847: [discriminator loss: 0.499051, acc: 0.742188] [adversarial loss: 1.514597, acc: 0.156250] 2848: [discriminator loss: 0.523639, acc: 0.750000] [adversarial loss: 1.141999, acc: 0.234375] 2849: [discriminator loss: 0.574664, acc: 0.695312] [adversarial loss: 1.169930, acc: 0.203125] 2850: [discriminator loss: 0.533538, acc: 0.734375] [adversarial loss: 1.407867, acc: 0.109375] 2851: [discriminator loss: 0.485817, acc: 0.773438] [adversarial loss: 1.176546, acc: 0.250000] 2852: [discriminator loss: 0.503041, acc: 0.718750] [adversarial loss: 1.446816, acc: 0.156250] 2853: [discriminator loss: 0.563834, acc: 0.726562] [adversarial loss: 1.640700, acc: 0.140625] 2854: [discriminator loss: 0.492337, acc: 0.750000] [adversarial loss: 0.930616, acc: 0.421875] 2855: [discriminator loss: 0.586218, acc: 0.742188] [adversarial loss: 1.638854, acc: 0.109375] 2856: [discriminator loss: 0.564916, acc: 0.695312] [adversarial loss: 1.043784, acc: 0.312500] 2857: [discriminator loss: 0.566674, acc: 0.703125] [adversarial loss: 1.750705, acc: 0.093750] 2858: [discriminator loss: 0.438055, acc: 0.835938] [adversarial loss: 1.014112, acc: 0.328125] 2859: [discriminator loss: 0.499927, acc: 0.734375] [adversarial loss: 1.522910, acc: 0.171875] 2860: [discriminator loss: 0.428544, acc: 0.796875] [adversarial loss: 1.417654, acc: 0.218750] 2861: [discriminator loss: 0.485694, acc: 0.726562] [adversarial loss: 1.185288, acc: 0.234375] 2862: [discriminator loss: 0.490147, acc: 0.750000] [adversarial loss: 1.504766, acc: 0.171875] 2863: [discriminator loss: 0.456600, acc: 0.773438] [adversarial loss: 0.930894, acc: 0.359375] 2864: [discriminator loss: 0.507359, acc: 0.742188] [adversarial loss: 1.497742, acc: 0.171875] 2865: [discriminator loss: 0.491280, acc: 0.750000] [adversarial loss: 1.192822, acc: 0.187500] 2866: [discriminator loss: 0.478931, acc: 0.796875] [adversarial loss: 1.589585, acc: 0.140625] 2867: [discriminator loss: 0.599055, acc: 0.687500] [adversarial loss: 0.968321, acc: 0.359375] 2868: [discriminator loss: 0.481167, acc: 0.796875] [adversarial loss: 1.666649, acc: 0.171875] 2869: [discriminator loss: 0.518333, acc: 0.726562] [adversarial loss: 1.344453, acc: 0.234375] 2870: [discriminator loss: 0.543366, acc: 0.734375] [adversarial loss: 1.126082, acc: 0.281250] 2871: [discriminator loss: 0.542823, acc: 0.718750] [adversarial loss: 1.091115, acc: 0.281250] 2872: [discriminator loss: 0.536813, acc: 0.710938] [adversarial loss: 1.836901, acc: 0.046875] 2873: [discriminator loss: 0.565349, acc: 0.695312] [adversarial loss: 0.979800, acc: 0.296875] 2874: [discriminator loss: 0.590366, acc: 0.710938] [adversarial loss: 1.774228, acc: 0.046875] 2875: [discriminator loss: 0.572547, acc: 0.710938] [adversarial loss: 0.890597, acc: 0.468750] 2876: [discriminator loss: 0.603299, acc: 0.679688] [adversarial loss: 1.824957, acc: 0.046875] 2877: [discriminator loss: 0.590871, acc: 0.687500] [adversarial loss: 0.957602, acc: 0.375000] 2878: [discriminator loss: 0.496598, acc: 0.781250] [adversarial loss: 1.279380, acc: 0.234375] 2879: [discriminator loss: 0.525793, acc: 0.726562] [adversarial loss: 1.055612, acc: 0.390625] 2880: [discriminator loss: 0.498367, acc: 0.820312] [adversarial loss: 1.561637, acc: 0.156250] 2881: [discriminator loss: 0.502274, acc: 0.742188] [adversarial loss: 1.357208, acc: 0.203125] 2882: [discriminator loss: 0.473737, acc: 0.796875] [adversarial loss: 1.291603, acc: 0.171875] 2883: [discriminator loss: 0.596536, acc: 0.687500] [adversarial loss: 0.896125, acc: 0.421875] 2884: [discriminator loss: 0.528878, acc: 0.757812] [adversarial loss: 1.296034, acc: 0.203125] 2885: [discriminator loss: 0.547476, acc: 0.734375] [adversarial loss: 1.043010, acc: 0.390625] 2886: [discriminator loss: 0.477809, acc: 0.789062] [adversarial loss: 1.734605, acc: 0.046875] 2887: [discriminator loss: 0.570691, acc: 0.742188] [adversarial loss: 0.814731, acc: 0.453125] 2888: [discriminator loss: 0.628114, acc: 0.687500] [adversarial loss: 1.598326, acc: 0.109375] 2889: [discriminator loss: 0.511138, acc: 0.742188] [adversarial loss: 0.976094, acc: 0.375000] 2890: [discriminator loss: 0.478687, acc: 0.773438] [adversarial loss: 1.439794, acc: 0.093750] 2891: [discriminator loss: 0.477869, acc: 0.765625] [adversarial loss: 0.915855, acc: 0.359375] 2892: [discriminator loss: 0.587185, acc: 0.671875] [adversarial loss: 1.447482, acc: 0.187500] 2893: [discriminator loss: 0.495138, acc: 0.718750] [adversarial loss: 1.174583, acc: 0.328125] 2894: [discriminator loss: 0.511281, acc: 0.726562] [adversarial loss: 1.136181, acc: 0.328125] 2895: [discriminator loss: 0.497922, acc: 0.796875] [adversarial loss: 1.142841, acc: 0.328125] 2896: [discriminator loss: 0.517765, acc: 0.750000] [adversarial loss: 1.434347, acc: 0.125000] 2897: [discriminator loss: 0.540457, acc: 0.742188] [adversarial loss: 1.102979, acc: 0.296875] 2898: [discriminator loss: 0.478551, acc: 0.789062] [adversarial loss: 1.024375, acc: 0.312500] 2899: [discriminator loss: 0.547432, acc: 0.718750] [adversarial loss: 1.618004, acc: 0.046875] 2900: [discriminator loss: 0.580004, acc: 0.710938] [adversarial loss: 1.055538, acc: 0.421875] 2901: [discriminator loss: 0.663444, acc: 0.648438] [adversarial loss: 1.763526, acc: 0.078125] 2902: [discriminator loss: 0.610811, acc: 0.679688] [adversarial loss: 1.098095, acc: 0.296875] 2903: [discriminator loss: 0.530850, acc: 0.742188] [adversarial loss: 1.848723, acc: 0.031250] 2904: [discriminator loss: 0.538952, acc: 0.703125] [adversarial loss: 1.042520, acc: 0.375000] 2905: [discriminator loss: 0.424045, acc: 0.835938] [adversarial loss: 1.293783, acc: 0.171875] 2906: [discriminator loss: 0.468071, acc: 0.820312] [adversarial loss: 1.153276, acc: 0.234375] 2907: [discriminator loss: 0.474708, acc: 0.773438] [adversarial loss: 1.482383, acc: 0.156250] 2908: [discriminator loss: 0.538606, acc: 0.679688] [adversarial loss: 1.153811, acc: 0.265625] 2909: [discriminator loss: 0.447519, acc: 0.796875] [adversarial loss: 1.394870, acc: 0.109375] 2910: [discriminator loss: 0.487626, acc: 0.781250] [adversarial loss: 0.967259, acc: 0.343750] 2911: [discriminator loss: 0.538999, acc: 0.718750] [adversarial loss: 1.231821, acc: 0.203125] 2912: [discriminator loss: 0.571717, acc: 0.687500] [adversarial loss: 1.166091, acc: 0.265625] 2913: [discriminator loss: 0.601611, acc: 0.687500] [adversarial loss: 1.530910, acc: 0.156250] 2914: [discriminator loss: 0.489630, acc: 0.757812] [adversarial loss: 1.098673, acc: 0.328125] 2915: [discriminator loss: 0.512739, acc: 0.757812] [adversarial loss: 1.440845, acc: 0.187500] 2916: [discriminator loss: 0.507142, acc: 0.734375] [adversarial loss: 1.115036, acc: 0.234375] 2917: [discriminator loss: 0.532601, acc: 0.718750] [adversarial loss: 1.508067, acc: 0.140625] 2918: [discriminator loss: 0.489304, acc: 0.789062] [adversarial loss: 1.086235, acc: 0.296875] 2919: [discriminator loss: 0.463181, acc: 0.773438] [adversarial loss: 1.421099, acc: 0.109375] 2920: [discriminator loss: 0.517579, acc: 0.742188] [adversarial loss: 0.947224, acc: 0.406250] 2921: [discriminator loss: 0.496748, acc: 0.734375] [adversarial loss: 1.595305, acc: 0.078125] 2922: [discriminator loss: 0.497303, acc: 0.742188] [adversarial loss: 1.227928, acc: 0.234375] 2923: [discriminator loss: 0.437944, acc: 0.796875] [adversarial loss: 1.473086, acc: 0.125000] 2924: [discriminator loss: 0.551021, acc: 0.695312] [adversarial loss: 0.874425, acc: 0.406250] 2925: [discriminator loss: 0.530080, acc: 0.734375] [adversarial loss: 1.652442, acc: 0.109375] 2926: [discriminator loss: 0.474628, acc: 0.765625] [adversarial loss: 1.057662, acc: 0.359375] 2927: [discriminator loss: 0.524621, acc: 0.750000] [adversarial loss: 1.766598, acc: 0.093750] 2928: [discriminator loss: 0.586715, acc: 0.718750] [adversarial loss: 0.844198, acc: 0.453125] 2929: [discriminator loss: 0.536176, acc: 0.750000] [adversarial loss: 1.539131, acc: 0.093750] 2930: [discriminator loss: 0.525672, acc: 0.734375] [adversarial loss: 0.912653, acc: 0.421875] 2931: [discriminator loss: 0.521688, acc: 0.671875] [adversarial loss: 1.553328, acc: 0.109375] 2932: [discriminator loss: 0.553815, acc: 0.734375] [adversarial loss: 0.979806, acc: 0.406250] 2933: [discriminator loss: 0.555227, acc: 0.734375] [adversarial loss: 1.361808, acc: 0.125000] 2934: [discriminator loss: 0.615565, acc: 0.664062] [adversarial loss: 1.114840, acc: 0.218750] 2935: [discriminator loss: 0.577170, acc: 0.695312] [adversarial loss: 1.679340, acc: 0.109375] 2936: [discriminator loss: 0.654781, acc: 0.664062] [adversarial loss: 1.236822, acc: 0.234375] 2937: [discriminator loss: 0.493680, acc: 0.804688] [adversarial loss: 1.279913, acc: 0.187500] 2938: [discriminator loss: 0.500313, acc: 0.710938] [adversarial loss: 1.638010, acc: 0.078125] 2939: [discriminator loss: 0.488773, acc: 0.773438] [adversarial loss: 1.004878, acc: 0.421875] 2940: [discriminator loss: 0.526571, acc: 0.765625] [adversarial loss: 1.478956, acc: 0.093750] 2941: [discriminator loss: 0.567265, acc: 0.710938] [adversarial loss: 0.966758, acc: 0.359375] 2942: [discriminator loss: 0.536440, acc: 0.742188] [adversarial loss: 1.184128, acc: 0.156250] 2943: [discriminator loss: 0.491628, acc: 0.773438] [adversarial loss: 1.632896, acc: 0.062500] 2944: [discriminator loss: 0.545296, acc: 0.710938] [adversarial loss: 0.957972, acc: 0.312500] 2945: [discriminator loss: 0.487937, acc: 0.734375] [adversarial loss: 1.569867, acc: 0.078125] 2946: [discriminator loss: 0.505658, acc: 0.695312] [adversarial loss: 0.955779, acc: 0.359375] 2947: [discriminator loss: 0.513242, acc: 0.718750] [adversarial loss: 1.948763, acc: 0.062500] 2948: [discriminator loss: 0.650392, acc: 0.617188] [adversarial loss: 0.832894, acc: 0.515625] 2949: [discriminator loss: 0.529791, acc: 0.671875] [adversarial loss: 1.476180, acc: 0.125000] 2950: [discriminator loss: 0.554572, acc: 0.679688] [adversarial loss: 0.907475, acc: 0.406250] 2951: [discriminator loss: 0.568407, acc: 0.742188] [adversarial loss: 1.612988, acc: 0.109375] 2952: [discriminator loss: 0.565531, acc: 0.726562] [adversarial loss: 0.961425, acc: 0.328125] 2953: [discriminator loss: 0.535670, acc: 0.718750] [adversarial loss: 1.491228, acc: 0.046875] 2954: [discriminator loss: 0.635698, acc: 0.625000] [adversarial loss: 1.070750, acc: 0.281250] 2955: [discriminator loss: 0.515410, acc: 0.750000] [adversarial loss: 1.599201, acc: 0.125000] 2956: [discriminator loss: 0.562702, acc: 0.710938] [adversarial loss: 0.935733, acc: 0.390625] 2957: [discriminator loss: 0.561944, acc: 0.703125] [adversarial loss: 1.597828, acc: 0.109375] 2958: [discriminator loss: 0.516024, acc: 0.742188] [adversarial loss: 1.038394, acc: 0.281250] 2959: [discriminator loss: 0.511489, acc: 0.718750] [adversarial loss: 1.446966, acc: 0.140625] 2960: [discriminator loss: 0.579069, acc: 0.679688] [adversarial loss: 1.068357, acc: 0.343750] 2961: [discriminator loss: 0.526103, acc: 0.750000] [adversarial loss: 1.123369, acc: 0.265625] 2962: [discriminator loss: 0.468791, acc: 0.734375] [adversarial loss: 1.352203, acc: 0.203125] 2963: [discriminator loss: 0.517713, acc: 0.796875] [adversarial loss: 1.462625, acc: 0.078125] 2964: [discriminator loss: 0.520804, acc: 0.757812] [adversarial loss: 1.131192, acc: 0.265625] 2965: [discriminator loss: 0.514611, acc: 0.718750] [adversarial loss: 1.675161, acc: 0.140625] 2966: [discriminator loss: 0.593169, acc: 0.726562] [adversarial loss: 0.791874, acc: 0.515625] 2967: [discriminator loss: 0.617060, acc: 0.648438] [adversarial loss: 1.969291, acc: 0.015625] 2968: [discriminator loss: 0.622930, acc: 0.648438] [adversarial loss: 1.095749, acc: 0.250000] 2969: [discriminator loss: 0.567189, acc: 0.695312] [adversarial loss: 1.647338, acc: 0.015625] 2970: [discriminator loss: 0.504239, acc: 0.757812] [adversarial loss: 1.294406, acc: 0.203125] 2971: [discriminator loss: 0.465353, acc: 0.812500] [adversarial loss: 1.304029, acc: 0.171875] 2972: [discriminator loss: 0.498057, acc: 0.796875] [adversarial loss: 1.166362, acc: 0.218750] 2973: [discriminator loss: 0.526473, acc: 0.734375] [adversarial loss: 1.587137, acc: 0.046875] 2974: [discriminator loss: 0.464828, acc: 0.742188] [adversarial loss: 1.136166, acc: 0.281250] 2975: [discriminator loss: 0.496345, acc: 0.765625] [adversarial loss: 1.059265, acc: 0.343750] 2976: [discriminator loss: 0.550681, acc: 0.703125] [adversarial loss: 1.198849, acc: 0.187500] 2977: [discriminator loss: 0.499613, acc: 0.734375] [adversarial loss: 1.179463, acc: 0.156250] 2978: [discriminator loss: 0.536879, acc: 0.664062] [adversarial loss: 1.250064, acc: 0.250000] 2979: [discriminator loss: 0.540317, acc: 0.750000] [adversarial loss: 1.128198, acc: 0.265625] 2980: [discriminator loss: 0.440298, acc: 0.804688] [adversarial loss: 1.306697, acc: 0.140625] 2981: [discriminator loss: 0.571539, acc: 0.726562] [adversarial loss: 1.678110, acc: 0.171875] 2982: [discriminator loss: 0.483817, acc: 0.773438] [adversarial loss: 1.026568, acc: 0.312500] 2983: [discriminator loss: 0.467277, acc: 0.765625] [adversarial loss: 1.228490, acc: 0.281250] 2984: [discriminator loss: 0.469080, acc: 0.781250] [adversarial loss: 1.577353, acc: 0.109375] 2985: [discriminator loss: 0.528809, acc: 0.765625] [adversarial loss: 0.972795, acc: 0.359375] 2986: [discriminator loss: 0.492971, acc: 0.796875] [adversarial loss: 1.497482, acc: 0.187500] 2987: [discriminator loss: 0.531792, acc: 0.734375] [adversarial loss: 0.621945, acc: 0.687500] 2988: [discriminator loss: 0.667754, acc: 0.632812] [adversarial loss: 1.852840, acc: 0.046875] 2989: [discriminator loss: 0.699351, acc: 0.640625] [adversarial loss: 0.809941, acc: 0.500000] 2990: [discriminator loss: 0.535592, acc: 0.703125] [adversarial loss: 1.565024, acc: 0.046875] 2991: [discriminator loss: 0.514196, acc: 0.710938] [adversarial loss: 1.074192, acc: 0.375000] 2992: [discriminator loss: 0.459035, acc: 0.789062] [adversarial loss: 1.421016, acc: 0.156250] 2993: [discriminator loss: 0.529688, acc: 0.726562] [adversarial loss: 1.132085, acc: 0.156250] 2994: [discriminator loss: 0.479402, acc: 0.750000] [adversarial loss: 1.092206, acc: 0.250000] 2995: [discriminator loss: 0.503959, acc: 0.734375] [adversarial loss: 1.222297, acc: 0.265625] 2996: [discriminator loss: 0.516633, acc: 0.742188] [adversarial loss: 1.423902, acc: 0.187500] 2997: [discriminator loss: 0.579584, acc: 0.734375] [adversarial loss: 1.517804, acc: 0.046875] 2998: [discriminator loss: 0.458490, acc: 0.804688] [adversarial loss: 1.082233, acc: 0.312500] 2999: [discriminator loss: 0.467925, acc: 0.789062] [adversarial loss: 1.458885, acc: 0.109375] 3000: [discriminator loss: 0.505319, acc: 0.750000] [adversarial loss: 0.925074, acc: 0.453125] 3001: [discriminator loss: 0.436765, acc: 0.859375] [adversarial loss: 1.408101, acc: 0.187500] 3002: [discriminator loss: 0.510166, acc: 0.742188] [adversarial loss: 1.087364, acc: 0.281250] 3003: [discriminator loss: 0.471689, acc: 0.781250] [adversarial loss: 1.343788, acc: 0.187500] 3004: [discriminator loss: 0.481471, acc: 0.773438] [adversarial loss: 1.118501, acc: 0.250000] 3005: [discriminator loss: 0.524671, acc: 0.734375] [adversarial loss: 1.648731, acc: 0.156250] 3006: [discriminator loss: 0.540502, acc: 0.726562] [adversarial loss: 0.854689, acc: 0.468750] 3007: [discriminator loss: 0.498187, acc: 0.726562] [adversarial loss: 1.164036, acc: 0.234375] 3008: [discriminator loss: 0.510812, acc: 0.765625] [adversarial loss: 1.146641, acc: 0.265625] 3009: [discriminator loss: 0.437619, acc: 0.789062] [adversarial loss: 1.166467, acc: 0.203125] 3010: [discriminator loss: 0.485526, acc: 0.773438] [adversarial loss: 1.535039, acc: 0.140625] 3011: [discriminator loss: 0.489710, acc: 0.757812] [adversarial loss: 1.058534, acc: 0.343750] 3012: [discriminator loss: 0.543756, acc: 0.695312] [adversarial loss: 1.410713, acc: 0.140625] 3013: [discriminator loss: 0.457328, acc: 0.765625] [adversarial loss: 1.144660, acc: 0.234375] 3014: [discriminator loss: 0.491228, acc: 0.757812] [adversarial loss: 1.314120, acc: 0.296875] 3015: [discriminator loss: 0.547721, acc: 0.765625] [adversarial loss: 1.017326, acc: 0.328125] 3016: [discriminator loss: 0.510033, acc: 0.710938] [adversarial loss: 1.854473, acc: 0.031250] 3017: [discriminator loss: 0.432816, acc: 0.789062] [adversarial loss: 1.093610, acc: 0.296875] 3018: [discriminator loss: 0.413434, acc: 0.812500] [adversarial loss: 1.479247, acc: 0.156250] 3019: [discriminator loss: 0.578621, acc: 0.703125] [adversarial loss: 0.987598, acc: 0.375000] 3020: [discriminator loss: 0.463511, acc: 0.742188] [adversarial loss: 1.735525, acc: 0.093750] 3021: [discriminator loss: 0.573341, acc: 0.703125] [adversarial loss: 0.952442, acc: 0.281250] 3022: [discriminator loss: 0.447939, acc: 0.781250] [adversarial loss: 1.970243, acc: 0.062500] 3023: [discriminator loss: 0.578165, acc: 0.695312] [adversarial loss: 1.034240, acc: 0.375000] 3024: [discriminator loss: 0.542337, acc: 0.695312] [adversarial loss: 1.731672, acc: 0.140625] 3025: [discriminator loss: 0.556527, acc: 0.695312] [adversarial loss: 1.161256, acc: 0.343750] 3026: [discriminator loss: 0.490476, acc: 0.828125] [adversarial loss: 1.269153, acc: 0.234375] 3027: [discriminator loss: 0.498423, acc: 0.765625] [adversarial loss: 1.259819, acc: 0.281250] 3028: [discriminator loss: 0.499768, acc: 0.726562] [adversarial loss: 1.037761, acc: 0.296875] 3029: [discriminator loss: 0.498773, acc: 0.750000] [adversarial loss: 1.302393, acc: 0.250000] 3030: [discriminator loss: 0.510518, acc: 0.742188] [adversarial loss: 1.198588, acc: 0.218750] 3031: [discriminator loss: 0.466400, acc: 0.757812] [adversarial loss: 1.123427, acc: 0.265625] 3032: [discriminator loss: 0.485366, acc: 0.757812] [adversarial loss: 1.130040, acc: 0.281250] 3033: [discriminator loss: 0.458685, acc: 0.835938] [adversarial loss: 1.122604, acc: 0.328125] 3034: [discriminator loss: 0.544303, acc: 0.742188] [adversarial loss: 1.143780, acc: 0.281250] 3035: [discriminator loss: 0.456408, acc: 0.820312] [adversarial loss: 1.389803, acc: 0.171875] 3036: [discriminator loss: 0.534578, acc: 0.742188] [adversarial loss: 1.228749, acc: 0.218750] 3037: [discriminator loss: 0.554244, acc: 0.687500] [adversarial loss: 1.197168, acc: 0.171875] 3038: [discriminator loss: 0.479775, acc: 0.789062] [adversarial loss: 1.328410, acc: 0.234375] 3039: [discriminator loss: 0.475167, acc: 0.750000] [adversarial loss: 0.991769, acc: 0.421875] 3040: [discriminator loss: 0.548685, acc: 0.718750] [adversarial loss: 1.853790, acc: 0.015625] 3041: [discriminator loss: 0.643122, acc: 0.671875] [adversarial loss: 0.725957, acc: 0.531250] 3042: [discriminator loss: 0.640506, acc: 0.601562] [adversarial loss: 2.004553, acc: 0.015625] 3043: [discriminator loss: 0.738495, acc: 0.601562] [adversarial loss: 0.855737, acc: 0.453125] 3044: [discriminator loss: 0.551740, acc: 0.687500] [adversarial loss: 1.449905, acc: 0.125000] 3045: [discriminator loss: 0.517296, acc: 0.742188] [adversarial loss: 1.150210, acc: 0.296875] 3046: [discriminator loss: 0.568228, acc: 0.718750] [adversarial loss: 1.520942, acc: 0.140625] 3047: [discriminator loss: 0.489109, acc: 0.796875] [adversarial loss: 1.244246, acc: 0.265625] 3048: [discriminator loss: 0.451408, acc: 0.828125] [adversarial loss: 1.012107, acc: 0.312500] 3049: [discriminator loss: 0.425896, acc: 0.843750] [adversarial loss: 1.419005, acc: 0.156250] 3050: [discriminator loss: 0.519164, acc: 0.734375] [adversarial loss: 1.353611, acc: 0.171875] 3051: [discriminator loss: 0.522846, acc: 0.757812] [adversarial loss: 1.072517, acc: 0.296875] 3052: [discriminator loss: 0.463699, acc: 0.781250] [adversarial loss: 1.580047, acc: 0.125000] 3053: [discriminator loss: 0.470004, acc: 0.765625] [adversarial loss: 0.957766, acc: 0.343750] 3054: [discriminator loss: 0.584870, acc: 0.703125] [adversarial loss: 1.312655, acc: 0.171875] 3055: [discriminator loss: 0.428577, acc: 0.820312] [adversarial loss: 1.074799, acc: 0.453125] 3056: [discriminator loss: 0.547564, acc: 0.703125] [adversarial loss: 1.652065, acc: 0.125000] 3057: [discriminator loss: 0.546966, acc: 0.718750] [adversarial loss: 1.151086, acc: 0.203125] 3058: [discriminator loss: 0.497410, acc: 0.781250] [adversarial loss: 1.279347, acc: 0.203125] 3059: [discriminator loss: 0.559408, acc: 0.703125] [adversarial loss: 1.121546, acc: 0.281250] 3060: [discriminator loss: 0.661368, acc: 0.632812] [adversarial loss: 1.861729, acc: 0.046875] 3061: [discriminator loss: 0.499891, acc: 0.757812] [adversarial loss: 1.197801, acc: 0.312500] 3062: [discriminator loss: 0.586491, acc: 0.718750] [adversarial loss: 1.703304, acc: 0.062500] 3063: [discriminator loss: 0.521478, acc: 0.742188] [adversarial loss: 0.991221, acc: 0.328125] 3064: [discriminator loss: 0.495724, acc: 0.765625] [adversarial loss: 1.322410, acc: 0.250000] 3065: [discriminator loss: 0.530300, acc: 0.742188] [adversarial loss: 0.979194, acc: 0.375000] 3066: [discriminator loss: 0.458669, acc: 0.820312] [adversarial loss: 1.259390, acc: 0.171875] 3067: [discriminator loss: 0.538454, acc: 0.679688] [adversarial loss: 1.443170, acc: 0.109375] 3068: [discriminator loss: 0.497790, acc: 0.726562] [adversarial loss: 1.326794, acc: 0.187500] 3069: [discriminator loss: 0.635787, acc: 0.703125] [adversarial loss: 1.901148, acc: 0.015625] 3070: [discriminator loss: 0.586148, acc: 0.703125] [adversarial loss: 0.902765, acc: 0.328125] 3071: [discriminator loss: 0.545362, acc: 0.742188] [adversarial loss: 1.556334, acc: 0.093750] 3072: [discriminator loss: 0.497955, acc: 0.734375] [adversarial loss: 1.227849, acc: 0.218750] 3073: [discriminator loss: 0.563281, acc: 0.734375] [adversarial loss: 1.571353, acc: 0.109375] 3074: [discriminator loss: 0.592165, acc: 0.640625] [adversarial loss: 1.194111, acc: 0.218750] 3075: [discriminator loss: 0.530337, acc: 0.710938] [adversarial loss: 1.443679, acc: 0.140625] 3076: [discriminator loss: 0.524271, acc: 0.742188] [adversarial loss: 0.919298, acc: 0.359375] 3077: [discriminator loss: 0.435984, acc: 0.835938] [adversarial loss: 1.128527, acc: 0.218750] 3078: [discriminator loss: 0.593507, acc: 0.648438] [adversarial loss: 1.201320, acc: 0.281250] 3079: [discriminator loss: 0.484820, acc: 0.750000] [adversarial loss: 1.273824, acc: 0.187500] 3080: [discriminator loss: 0.453028, acc: 0.750000] [adversarial loss: 1.057688, acc: 0.250000] 3081: [discriminator loss: 0.538959, acc: 0.726562] [adversarial loss: 1.524198, acc: 0.109375] 3082: [discriminator loss: 0.532882, acc: 0.679688] [adversarial loss: 0.930894, acc: 0.406250] 3083: [discriminator loss: 0.530778, acc: 0.750000] [adversarial loss: 1.695719, acc: 0.140625] 3084: [discriminator loss: 0.481457, acc: 0.789062] [adversarial loss: 1.145844, acc: 0.250000] 3085: [discriminator loss: 0.621623, acc: 0.664062] [adversarial loss: 1.738818, acc: 0.078125] 3086: [discriminator loss: 0.574098, acc: 0.695312] [adversarial loss: 1.363945, acc: 0.125000] 3087: [discriminator loss: 0.575523, acc: 0.726562] [adversarial loss: 1.463384, acc: 0.156250] 3088: [discriminator loss: 0.489545, acc: 0.820312] [adversarial loss: 1.278195, acc: 0.218750] 3089: [discriminator loss: 0.473848, acc: 0.750000] [adversarial loss: 1.583055, acc: 0.140625] 3090: [discriminator loss: 0.519719, acc: 0.757812] [adversarial loss: 0.954925, acc: 0.390625] 3091: [discriminator loss: 0.509146, acc: 0.710938] [adversarial loss: 1.682958, acc: 0.078125] 3092: [discriminator loss: 0.584700, acc: 0.671875] [adversarial loss: 0.767445, acc: 0.453125] 3093: [discriminator loss: 0.523701, acc: 0.687500] [adversarial loss: 1.576798, acc: 0.156250] 3094: [discriminator loss: 0.489742, acc: 0.742188] [adversarial loss: 0.761490, acc: 0.562500] 3095: [discriminator loss: 0.497984, acc: 0.687500] [adversarial loss: 1.232656, acc: 0.234375] 3096: [discriminator loss: 0.593382, acc: 0.664062] [adversarial loss: 1.495306, acc: 0.156250] 3097: [discriminator loss: 0.530329, acc: 0.695312] [adversarial loss: 1.234568, acc: 0.203125] 3098: [discriminator loss: 0.505415, acc: 0.742188] [adversarial loss: 1.228725, acc: 0.296875] 3099: [discriminator loss: 0.490670, acc: 0.750000] [adversarial loss: 1.341478, acc: 0.234375] 3100: [discriminator loss: 0.605231, acc: 0.703125] [adversarial loss: 1.098277, acc: 0.265625] 3101: [discriminator loss: 0.484189, acc: 0.804688] [adversarial loss: 1.415787, acc: 0.125000] 3102: [discriminator loss: 0.480330, acc: 0.726562] [adversarial loss: 0.895796, acc: 0.421875] 3103: [discriminator loss: 0.521719, acc: 0.710938] [adversarial loss: 1.468030, acc: 0.156250] 3104: [discriminator loss: 0.555301, acc: 0.695312] [adversarial loss: 1.157398, acc: 0.281250] 3105: [discriminator loss: 0.499664, acc: 0.789062] [adversarial loss: 1.227464, acc: 0.265625] 3106: [discriminator loss: 0.548842, acc: 0.687500] [adversarial loss: 1.554209, acc: 0.140625] 3107: [discriminator loss: 0.501161, acc: 0.757812] [adversarial loss: 1.196580, acc: 0.156250] 3108: [discriminator loss: 0.524801, acc: 0.742188] [adversarial loss: 1.354585, acc: 0.156250] 3109: [discriminator loss: 0.509879, acc: 0.718750] [adversarial loss: 1.532243, acc: 0.125000] 3110: [discriminator loss: 0.562102, acc: 0.726562] [adversarial loss: 0.807055, acc: 0.437500] 3111: [discriminator loss: 0.568504, acc: 0.687500] [adversarial loss: 2.072108, acc: 0.046875] 3112: [discriminator loss: 0.551572, acc: 0.734375] [adversarial loss: 0.881970, acc: 0.500000] 3113: [discriminator loss: 0.547373, acc: 0.718750] [adversarial loss: 1.488324, acc: 0.125000] 3114: [discriminator loss: 0.573874, acc: 0.632812] [adversarial loss: 0.952381, acc: 0.359375] 3115: [discriminator loss: 0.577350, acc: 0.703125] [adversarial loss: 1.775155, acc: 0.046875] 3116: [discriminator loss: 0.661533, acc: 0.632812] [adversarial loss: 0.803535, acc: 0.468750] 3117: [discriminator loss: 0.536488, acc: 0.734375] [adversarial loss: 1.580917, acc: 0.109375] 3118: [discriminator loss: 0.514799, acc: 0.742188] [adversarial loss: 0.950539, acc: 0.390625] 3119: [discriminator loss: 0.582701, acc: 0.687500] [adversarial loss: 1.321959, acc: 0.218750] 3120: [discriminator loss: 0.494698, acc: 0.773438] [adversarial loss: 1.061274, acc: 0.265625] 3121: [discriminator loss: 0.435363, acc: 0.812500] [adversarial loss: 1.112621, acc: 0.265625] 3122: [discriminator loss: 0.482192, acc: 0.742188] [adversarial loss: 1.282775, acc: 0.203125] 3123: [discriminator loss: 0.551597, acc: 0.718750] [adversarial loss: 1.426390, acc: 0.156250] 3124: [discriminator loss: 0.516813, acc: 0.773438] [adversarial loss: 1.331833, acc: 0.140625] 3125: [discriminator loss: 0.471435, acc: 0.789062] [adversarial loss: 1.175771, acc: 0.218750] 3126: [discriminator loss: 0.543029, acc: 0.695312] [adversarial loss: 1.273712, acc: 0.234375] 3127: [discriminator loss: 0.526158, acc: 0.742188] [adversarial loss: 0.951904, acc: 0.406250] 3128: [discriminator loss: 0.561481, acc: 0.734375] [adversarial loss: 1.982616, acc: 0.015625] 3129: [discriminator loss: 0.646807, acc: 0.664062] [adversarial loss: 0.759065, acc: 0.500000] 3130: [discriminator loss: 0.537899, acc: 0.726562] [adversarial loss: 1.533727, acc: 0.156250] 3131: [discriminator loss: 0.463362, acc: 0.812500] [adversarial loss: 1.009484, acc: 0.296875] 3132: [discriminator loss: 0.563896, acc: 0.742188] [adversarial loss: 1.451717, acc: 0.156250] 3133: [discriminator loss: 0.518508, acc: 0.710938] [adversarial loss: 0.958492, acc: 0.390625] 3134: [discriminator loss: 0.533593, acc: 0.710938] [adversarial loss: 1.679018, acc: 0.062500] 3135: [discriminator loss: 0.489891, acc: 0.750000] [adversarial loss: 1.016627, acc: 0.390625] 3136: [discriminator loss: 0.577668, acc: 0.679688] [adversarial loss: 1.394150, acc: 0.156250] 3137: [discriminator loss: 0.460132, acc: 0.773438] [adversarial loss: 1.142838, acc: 0.343750] 3138: [discriminator loss: 0.561842, acc: 0.679688] [adversarial loss: 1.039822, acc: 0.296875] 3139: [discriminator loss: 0.511811, acc: 0.726562] [adversarial loss: 1.281631, acc: 0.187500] 3140: [discriminator loss: 0.503996, acc: 0.773438] [adversarial loss: 1.220531, acc: 0.218750] 3141: [discriminator loss: 0.458765, acc: 0.812500] [adversarial loss: 1.316363, acc: 0.187500] 3142: [discriminator loss: 0.553507, acc: 0.750000] [adversarial loss: 1.085941, acc: 0.359375] 3143: [discriminator loss: 0.530082, acc: 0.757812] [adversarial loss: 1.410531, acc: 0.203125] 3144: [discriminator loss: 0.577720, acc: 0.710938] [adversarial loss: 0.986771, acc: 0.390625] 3145: [discriminator loss: 0.528452, acc: 0.750000] [adversarial loss: 1.615438, acc: 0.125000] 3146: [discriminator loss: 0.491616, acc: 0.750000] [adversarial loss: 1.047549, acc: 0.312500] 3147: [discriminator loss: 0.559428, acc: 0.734375] [adversarial loss: 1.471214, acc: 0.140625] 3148: [discriminator loss: 0.472459, acc: 0.796875] [adversarial loss: 1.029496, acc: 0.281250] 3149: [discriminator loss: 0.493318, acc: 0.765625] [adversarial loss: 1.208485, acc: 0.296875] 3150: [discriminator loss: 0.504228, acc: 0.773438] [adversarial loss: 1.190913, acc: 0.250000] 3151: [discriminator loss: 0.460097, acc: 0.765625] [adversarial loss: 1.027910, acc: 0.375000] 3152: [discriminator loss: 0.558798, acc: 0.718750] [adversarial loss: 1.696626, acc: 0.125000] 3153: [discriminator loss: 0.472898, acc: 0.742188] [adversarial loss: 1.144389, acc: 0.250000] 3154: [discriminator loss: 0.508819, acc: 0.742188] [adversarial loss: 1.193892, acc: 0.234375] 3155: [discriminator loss: 0.563534, acc: 0.734375] [adversarial loss: 1.551306, acc: 0.109375] 3156: [discriminator loss: 0.521017, acc: 0.773438] [adversarial loss: 1.198292, acc: 0.281250] 3157: [discriminator loss: 0.485937, acc: 0.781250] [adversarial loss: 1.301048, acc: 0.171875] 3158: [discriminator loss: 0.555710, acc: 0.710938] [adversarial loss: 1.189228, acc: 0.296875] 3159: [discriminator loss: 0.575319, acc: 0.640625] [adversarial loss: 1.427156, acc: 0.140625] 3160: [discriminator loss: 0.536145, acc: 0.750000] [adversarial loss: 1.151670, acc: 0.312500] 3161: [discriminator loss: 0.601851, acc: 0.695312] [adversarial loss: 1.466535, acc: 0.093750] 3162: [discriminator loss: 0.524804, acc: 0.710938] [adversarial loss: 1.182377, acc: 0.296875] 3163: [discriminator loss: 0.457636, acc: 0.781250] [adversarial loss: 1.412984, acc: 0.171875] 3164: [discriminator loss: 0.520156, acc: 0.750000] [adversarial loss: 1.120387, acc: 0.296875] 3165: [discriminator loss: 0.500033, acc: 0.734375] [adversarial loss: 1.592175, acc: 0.109375] 3166: [discriminator loss: 0.548887, acc: 0.703125] [adversarial loss: 0.959883, acc: 0.281250] 3167: [discriminator loss: 0.587438, acc: 0.718750] [adversarial loss: 1.732854, acc: 0.125000] 3168: [discriminator loss: 0.645811, acc: 0.664062] [adversarial loss: 0.740241, acc: 0.500000] 3169: [discriminator loss: 0.599298, acc: 0.679688] [adversarial loss: 2.021591, acc: 0.031250] 3170: [discriminator loss: 0.664520, acc: 0.632812] [adversarial loss: 0.861076, acc: 0.468750] 3171: [discriminator loss: 0.592462, acc: 0.679688] [adversarial loss: 1.574295, acc: 0.078125] 3172: [discriminator loss: 0.490534, acc: 0.757812] [adversarial loss: 1.149205, acc: 0.218750] 3173: [discriminator loss: 0.467880, acc: 0.796875] [adversarial loss: 1.107234, acc: 0.281250] 3174: [discriminator loss: 0.516828, acc: 0.718750] [adversarial loss: 1.549926, acc: 0.093750] 3175: [discriminator loss: 0.579111, acc: 0.726562] [adversarial loss: 1.106125, acc: 0.250000] 3176: [discriminator loss: 0.494507, acc: 0.789062] [adversarial loss: 1.491341, acc: 0.187500] 3177: [discriminator loss: 0.585736, acc: 0.687500] [adversarial loss: 0.948652, acc: 0.328125] 3178: [discriminator loss: 0.561653, acc: 0.710938] [adversarial loss: 1.200680, acc: 0.312500] 3179: [discriminator loss: 0.446409, acc: 0.796875] [adversarial loss: 1.046627, acc: 0.328125] 3180: [discriminator loss: 0.455603, acc: 0.781250] [adversarial loss: 1.273934, acc: 0.125000] 3181: [discriminator loss: 0.470415, acc: 0.757812] [adversarial loss: 1.235698, acc: 0.203125] 3182: [discriminator loss: 0.614483, acc: 0.695312] [adversarial loss: 0.990607, acc: 0.328125] 3183: [discriminator loss: 0.514789, acc: 0.781250] [adversarial loss: 1.693380, acc: 0.125000] 3184: [discriminator loss: 0.442998, acc: 0.804688] [adversarial loss: 1.301460, acc: 0.218750] 3185: [discriminator loss: 0.501901, acc: 0.734375] [adversarial loss: 1.459799, acc: 0.140625] 3186: [discriminator loss: 0.509420, acc: 0.703125] [adversarial loss: 1.360878, acc: 0.156250] 3187: [discriminator loss: 0.515804, acc: 0.765625] [adversarial loss: 1.247963, acc: 0.218750] 3188: [discriminator loss: 0.502249, acc: 0.773438] [adversarial loss: 1.350412, acc: 0.203125] 3189: [discriminator loss: 0.526206, acc: 0.742188] [adversarial loss: 1.141818, acc: 0.203125] 3190: [discriminator loss: 0.488222, acc: 0.781250] [adversarial loss: 1.610857, acc: 0.109375] 3191: [discriminator loss: 0.500854, acc: 0.789062] [adversarial loss: 1.134071, acc: 0.265625] 3192: [discriminator loss: 0.516933, acc: 0.757812] [adversarial loss: 1.652164, acc: 0.140625] 3193: [discriminator loss: 0.483770, acc: 0.734375] [adversarial loss: 0.867654, acc: 0.406250] 3194: [discriminator loss: 0.503708, acc: 0.781250] [adversarial loss: 1.894668, acc: 0.078125] 3195: [discriminator loss: 0.675951, acc: 0.632812] [adversarial loss: 0.970553, acc: 0.421875] 3196: [discriminator loss: 0.539224, acc: 0.765625] [adversarial loss: 1.302582, acc: 0.234375] 3197: [discriminator loss: 0.488030, acc: 0.789062] [adversarial loss: 1.272849, acc: 0.187500] 3198: [discriminator loss: 0.512913, acc: 0.718750] [adversarial loss: 1.229575, acc: 0.234375] 3199: [discriminator loss: 0.533850, acc: 0.695312] [adversarial loss: 1.397161, acc: 0.140625] 3200: [discriminator loss: 0.499833, acc: 0.750000] [adversarial loss: 1.106068, acc: 0.312500] 3201: [discriminator loss: 0.458332, acc: 0.757812] [adversarial loss: 1.098126, acc: 0.312500] 3202: [discriminator loss: 0.415930, acc: 0.835938] [adversarial loss: 1.398781, acc: 0.250000] 3203: [discriminator loss: 0.623305, acc: 0.671875] [adversarial loss: 1.475427, acc: 0.171875] 3204: [discriminator loss: 0.541431, acc: 0.742188] [adversarial loss: 1.056321, acc: 0.328125] 3205: [discriminator loss: 0.496257, acc: 0.781250] [adversarial loss: 1.367137, acc: 0.156250] 3206: [discriminator loss: 0.461190, acc: 0.789062] [adversarial loss: 1.159491, acc: 0.281250] 3207: [discriminator loss: 0.487195, acc: 0.750000] [adversarial loss: 1.890742, acc: 0.078125] 3208: [discriminator loss: 0.470586, acc: 0.781250] [adversarial loss: 0.972173, acc: 0.421875] 3209: [discriminator loss: 0.597603, acc: 0.718750] [adversarial loss: 1.960153, acc: 0.062500] 3210: [discriminator loss: 0.607678, acc: 0.664062] [adversarial loss: 0.811031, acc: 0.421875] 3211: [discriminator loss: 0.571161, acc: 0.718750] [adversarial loss: 1.361701, acc: 0.156250] 3212: [discriminator loss: 0.531265, acc: 0.734375] [adversarial loss: 1.011720, acc: 0.312500] 3213: [discriminator loss: 0.476537, acc: 0.757812] [adversarial loss: 1.251998, acc: 0.187500] 3214: [discriminator loss: 0.463215, acc: 0.781250] [adversarial loss: 1.233422, acc: 0.203125] 3215: [discriminator loss: 0.478742, acc: 0.765625] [adversarial loss: 1.227913, acc: 0.203125] 3216: [discriminator loss: 0.493044, acc: 0.781250] [adversarial loss: 1.464448, acc: 0.109375] 3217: [discriminator loss: 0.620866, acc: 0.695312] [adversarial loss: 1.182077, acc: 0.156250] 3218: [discriminator loss: 0.537484, acc: 0.765625] [adversarial loss: 1.907588, acc: 0.062500] 3219: [discriminator loss: 0.635079, acc: 0.679688] [adversarial loss: 0.978114, acc: 0.421875] 3220: [discriminator loss: 0.519893, acc: 0.734375] [adversarial loss: 1.459308, acc: 0.203125] 3221: [discriminator loss: 0.551727, acc: 0.710938] [adversarial loss: 1.169517, acc: 0.265625] 3222: [discriminator loss: 0.534182, acc: 0.710938] [adversarial loss: 1.872293, acc: 0.078125] 3223: [discriminator loss: 0.636531, acc: 0.648438] [adversarial loss: 0.771467, acc: 0.515625] 3224: [discriminator loss: 0.516383, acc: 0.726562] [adversarial loss: 1.485086, acc: 0.109375] 3225: [discriminator loss: 0.456606, acc: 0.820312] [adversarial loss: 1.185832, acc: 0.265625] 3226: [discriminator loss: 0.517154, acc: 0.742188] [adversarial loss: 1.593122, acc: 0.218750] 3227: [discriminator loss: 0.502328, acc: 0.773438] [adversarial loss: 1.208189, acc: 0.156250] 3228: [discriminator loss: 0.539884, acc: 0.734375] [adversarial loss: 1.576933, acc: 0.140625] 3229: [discriminator loss: 0.504745, acc: 0.796875] [adversarial loss: 1.163558, acc: 0.281250] 3230: [discriminator loss: 0.537228, acc: 0.695312] [adversarial loss: 1.284198, acc: 0.156250] 3231: [discriminator loss: 0.553314, acc: 0.726562] [adversarial loss: 0.927840, acc: 0.406250] 3232: [discriminator loss: 0.515982, acc: 0.750000] [adversarial loss: 1.453304, acc: 0.156250] 3233: [discriminator loss: 0.577245, acc: 0.734375] [adversarial loss: 1.023519, acc: 0.312500] 3234: [discriminator loss: 0.450006, acc: 0.765625] [adversarial loss: 1.167354, acc: 0.140625] 3235: [discriminator loss: 0.510494, acc: 0.710938] [adversarial loss: 1.220374, acc: 0.171875] 3236: [discriminator loss: 0.518846, acc: 0.750000] [adversarial loss: 1.464635, acc: 0.109375] 3237: [discriminator loss: 0.453140, acc: 0.804688] [adversarial loss: 1.567262, acc: 0.156250] 3238: [discriminator loss: 0.511288, acc: 0.726562] [adversarial loss: 1.002376, acc: 0.296875] 3239: [discriminator loss: 0.502989, acc: 0.757812] [adversarial loss: 1.394424, acc: 0.140625] 3240: [discriminator loss: 0.523091, acc: 0.726562] [adversarial loss: 1.495330, acc: 0.171875] 3241: [discriminator loss: 0.504320, acc: 0.726562] [adversarial loss: 1.231842, acc: 0.234375] 3242: [discriminator loss: 0.458557, acc: 0.773438] [adversarial loss: 1.527195, acc: 0.187500] 3243: [discriminator loss: 0.563386, acc: 0.718750] [adversarial loss: 1.108671, acc: 0.328125] 3244: [discriminator loss: 0.473332, acc: 0.734375] [adversarial loss: 1.344637, acc: 0.218750] 3245: [discriminator loss: 0.521407, acc: 0.750000] [adversarial loss: 1.231180, acc: 0.296875] 3246: [discriminator loss: 0.563983, acc: 0.695312] [adversarial loss: 1.242984, acc: 0.140625] 3247: [discriminator loss: 0.561541, acc: 0.726562] [adversarial loss: 1.020290, acc: 0.265625] 3248: [discriminator loss: 0.499304, acc: 0.742188] [adversarial loss: 1.540771, acc: 0.078125] 3249: [discriminator loss: 0.530207, acc: 0.734375] [adversarial loss: 0.931499, acc: 0.375000] 3250: [discriminator loss: 0.602054, acc: 0.648438] [adversarial loss: 1.798088, acc: 0.046875] 3251: [discriminator loss: 0.575230, acc: 0.687500] [adversarial loss: 0.905958, acc: 0.375000] 3252: [discriminator loss: 0.539463, acc: 0.750000] [adversarial loss: 1.692143, acc: 0.109375] 3253: [discriminator loss: 0.534395, acc: 0.750000] [adversarial loss: 0.762490, acc: 0.531250] 3254: [discriminator loss: 0.609336, acc: 0.710938] [adversarial loss: 1.670825, acc: 0.093750] 3255: [discriminator loss: 0.629291, acc: 0.671875] [adversarial loss: 0.960451, acc: 0.375000] 3256: [discriminator loss: 0.524230, acc: 0.718750] [adversarial loss: 1.185651, acc: 0.187500] 3257: [discriminator loss: 0.478240, acc: 0.765625] [adversarial loss: 1.594867, acc: 0.125000] 3258: [discriminator loss: 0.512216, acc: 0.773438] [adversarial loss: 1.241462, acc: 0.218750] 3259: [discriminator loss: 0.568650, acc: 0.726562] [adversarial loss: 0.980295, acc: 0.359375] 3260: [discriminator loss: 0.603604, acc: 0.664062] [adversarial loss: 1.279412, acc: 0.234375] 3261: [discriminator loss: 0.516609, acc: 0.734375] [adversarial loss: 1.012099, acc: 0.328125] 3262: [discriminator loss: 0.601151, acc: 0.726562] [adversarial loss: 1.694308, acc: 0.109375] 3263: [discriminator loss: 0.504890, acc: 0.726562] [adversarial loss: 0.936307, acc: 0.437500] 3264: [discriminator loss: 0.560326, acc: 0.710938] [adversarial loss: 1.352398, acc: 0.218750] 3265: [discriminator loss: 0.572976, acc: 0.703125] [adversarial loss: 0.902937, acc: 0.390625] 3266: [discriminator loss: 0.533181, acc: 0.742188] [adversarial loss: 1.566266, acc: 0.109375] 3267: [discriminator loss: 0.456561, acc: 0.796875] [adversarial loss: 1.197578, acc: 0.234375] 3268: [discriminator loss: 0.493613, acc: 0.750000] [adversarial loss: 1.385015, acc: 0.140625] 3269: [discriminator loss: 0.556646, acc: 0.695312] [adversarial loss: 1.243228, acc: 0.218750] 3270: [discriminator loss: 0.548793, acc: 0.710938] [adversarial loss: 1.251267, acc: 0.140625] 3271: [discriminator loss: 0.481066, acc: 0.796875] [adversarial loss: 1.139088, acc: 0.296875] 3272: [discriminator loss: 0.666100, acc: 0.632812] [adversarial loss: 1.346460, acc: 0.281250] 3273: [discriminator loss: 0.591137, acc: 0.640625] [adversarial loss: 1.306827, acc: 0.187500] 3274: [discriminator loss: 0.493661, acc: 0.750000] [adversarial loss: 1.097052, acc: 0.203125] 3275: [discriminator loss: 0.457831, acc: 0.796875] [adversarial loss: 1.130718, acc: 0.234375] 3276: [discriminator loss: 0.522087, acc: 0.750000] [adversarial loss: 1.520526, acc: 0.140625] 3277: [discriminator loss: 0.575661, acc: 0.679688] [adversarial loss: 0.644442, acc: 0.625000] 3278: [discriminator loss: 0.661245, acc: 0.664062] [adversarial loss: 1.985874, acc: 0.015625] 3279: [discriminator loss: 0.693185, acc: 0.656250] [adversarial loss: 0.867068, acc: 0.484375] 3280: [discriminator loss: 0.604444, acc: 0.632812] [adversarial loss: 1.506892, acc: 0.078125] 3281: [discriminator loss: 0.493195, acc: 0.773438] [adversarial loss: 1.271882, acc: 0.203125] 3282: [discriminator loss: 0.615553, acc: 0.640625] [adversarial loss: 1.004046, acc: 0.296875] 3283: [discriminator loss: 0.619270, acc: 0.687500] [adversarial loss: 1.285845, acc: 0.250000] 3284: [discriminator loss: 0.499076, acc: 0.750000] [adversarial loss: 1.132426, acc: 0.234375] 3285: [discriminator loss: 0.531486, acc: 0.773438] [adversarial loss: 0.952031, acc: 0.343750] 3286: [discriminator loss: 0.547734, acc: 0.718750] [adversarial loss: 1.353268, acc: 0.140625] 3287: [discriminator loss: 0.481540, acc: 0.765625] [adversarial loss: 1.183056, acc: 0.265625] 3288: [discriminator loss: 0.538097, acc: 0.710938] [adversarial loss: 1.105690, acc: 0.218750] 3289: [discriminator loss: 0.474251, acc: 0.773438] [adversarial loss: 1.155572, acc: 0.250000] 3290: [discriminator loss: 0.460740, acc: 0.781250] [adversarial loss: 1.270525, acc: 0.171875] 3291: [discriminator loss: 0.570338, acc: 0.718750] [adversarial loss: 1.076612, acc: 0.281250] 3292: [discriminator loss: 0.512934, acc: 0.734375] [adversarial loss: 1.457678, acc: 0.140625] 3293: [discriminator loss: 0.487415, acc: 0.742188] [adversarial loss: 0.998190, acc: 0.359375] 3294: [discriminator loss: 0.522749, acc: 0.679688] [adversarial loss: 1.793326, acc: 0.046875] 3295: [discriminator loss: 0.464914, acc: 0.781250] [adversarial loss: 0.963629, acc: 0.328125] 3296: [discriminator loss: 0.588712, acc: 0.726562] [adversarial loss: 1.370009, acc: 0.234375] 3297: [discriminator loss: 0.573279, acc: 0.718750] [adversarial loss: 1.267049, acc: 0.265625] 3298: [discriminator loss: 0.535486, acc: 0.710938] [adversarial loss: 1.238329, acc: 0.187500] 3299: [discriminator loss: 0.561805, acc: 0.734375] [adversarial loss: 1.285420, acc: 0.140625] 3300: [discriminator loss: 0.499089, acc: 0.750000] [adversarial loss: 1.187251, acc: 0.265625] 3301: [discriminator loss: 0.570745, acc: 0.703125] [adversarial loss: 1.072155, acc: 0.234375] 3302: [discriminator loss: 0.497009, acc: 0.765625] [adversarial loss: 1.228648, acc: 0.218750] 3303: [discriminator loss: 0.481753, acc: 0.750000] [adversarial loss: 1.184449, acc: 0.328125] 3304: [discriminator loss: 0.510791, acc: 0.718750] [adversarial loss: 1.632097, acc: 0.062500] 3305: [discriminator loss: 0.570872, acc: 0.695312] [adversarial loss: 0.926187, acc: 0.437500] 3306: [discriminator loss: 0.499968, acc: 0.789062] [adversarial loss: 1.445792, acc: 0.109375] 3307: [discriminator loss: 0.521373, acc: 0.750000] [adversarial loss: 0.907943, acc: 0.437500] 3308: [discriminator loss: 0.634935, acc: 0.640625] [adversarial loss: 1.758497, acc: 0.062500] 3309: [discriminator loss: 0.610880, acc: 0.679688] [adversarial loss: 1.090277, acc: 0.328125] 3310: [discriminator loss: 0.584244, acc: 0.765625] [adversarial loss: 1.654844, acc: 0.046875] 3311: [discriminator loss: 0.531588, acc: 0.734375] [adversarial loss: 0.947981, acc: 0.328125] 3312: [discriminator loss: 0.494013, acc: 0.742188] [adversarial loss: 1.305587, acc: 0.218750] 3313: [discriminator loss: 0.544948, acc: 0.703125] [adversarial loss: 1.303716, acc: 0.234375] 3314: [discriminator loss: 0.619665, acc: 0.703125] [adversarial loss: 1.113601, acc: 0.234375] 3315: [discriminator loss: 0.499087, acc: 0.757812] [adversarial loss: 0.946189, acc: 0.343750] 3316: [discriminator loss: 0.455092, acc: 0.765625] [adversarial loss: 1.566389, acc: 0.078125] 3317: [discriminator loss: 0.477324, acc: 0.757812] [adversarial loss: 1.072742, acc: 0.312500] 3318: [discriminator loss: 0.590083, acc: 0.687500] [adversarial loss: 1.863241, acc: 0.046875] 3319: [discriminator loss: 0.532878, acc: 0.742188] [adversarial loss: 0.945197, acc: 0.453125] 3320: [discriminator loss: 0.550129, acc: 0.718750] [adversarial loss: 1.839207, acc: 0.062500] 3321: [discriminator loss: 0.551138, acc: 0.757812] [adversarial loss: 1.077513, acc: 0.250000] 3322: [discriminator loss: 0.503716, acc: 0.765625] [adversarial loss: 1.305854, acc: 0.140625] 3323: [discriminator loss: 0.548363, acc: 0.710938] [adversarial loss: 1.033269, acc: 0.296875] 3324: [discriminator loss: 0.503239, acc: 0.734375] [adversarial loss: 1.255221, acc: 0.187500] 3325: [discriminator loss: 0.455942, acc: 0.796875] [adversarial loss: 1.187612, acc: 0.328125] 3326: [discriminator loss: 0.509298, acc: 0.726562] [adversarial loss: 1.104353, acc: 0.281250] 3327: [discriminator loss: 0.502321, acc: 0.734375] [adversarial loss: 1.548306, acc: 0.125000] 3328: [discriminator loss: 0.544918, acc: 0.695312] [adversarial loss: 0.847970, acc: 0.390625] 3329: [discriminator loss: 0.607514, acc: 0.664062] [adversarial loss: 1.635755, acc: 0.062500] 3330: [discriminator loss: 0.516745, acc: 0.765625] [adversarial loss: 1.062697, acc: 0.312500] 3331: [discriminator loss: 0.535811, acc: 0.765625] [adversarial loss: 1.326655, acc: 0.156250] 3332: [discriminator loss: 0.518064, acc: 0.718750] [adversarial loss: 1.079310, acc: 0.234375] 3333: [discriminator loss: 0.545925, acc: 0.734375] [adversarial loss: 1.409052, acc: 0.125000] 3334: [discriminator loss: 0.631965, acc: 0.687500] [adversarial loss: 1.233039, acc: 0.203125] 3335: [discriminator loss: 0.552860, acc: 0.695312] [adversarial loss: 1.298042, acc: 0.187500] 3336: [discriminator loss: 0.560484, acc: 0.726562] [adversarial loss: 0.889548, acc: 0.406250] 3337: [discriminator loss: 0.565422, acc: 0.718750] [adversarial loss: 1.550770, acc: 0.109375] 3338: [discriminator loss: 0.534415, acc: 0.695312] [adversarial loss: 0.976889, acc: 0.281250] 3339: [discriminator loss: 0.559137, acc: 0.695312] [adversarial loss: 1.438288, acc: 0.109375] 3340: [discriminator loss: 0.468655, acc: 0.757812] [adversarial loss: 1.057081, acc: 0.296875] 3341: [discriminator loss: 0.549360, acc: 0.726562] [adversarial loss: 1.377684, acc: 0.156250] 3342: [discriminator loss: 0.571214, acc: 0.726562] [adversarial loss: 1.008104, acc: 0.312500] 3343: [discriminator loss: 0.548613, acc: 0.710938] [adversarial loss: 1.595959, acc: 0.125000] 3344: [discriminator loss: 0.537012, acc: 0.710938] [adversarial loss: 0.869443, acc: 0.375000] 3345: [discriminator loss: 0.513443, acc: 0.734375] [adversarial loss: 1.489169, acc: 0.140625] 3346: [discriminator loss: 0.538131, acc: 0.742188] [adversarial loss: 1.114827, acc: 0.328125] 3347: [discriminator loss: 0.530740, acc: 0.718750] [adversarial loss: 1.234908, acc: 0.265625] 3348: [discriminator loss: 0.516675, acc: 0.734375] [adversarial loss: 1.183500, acc: 0.187500] 3349: [discriminator loss: 0.509073, acc: 0.773438] [adversarial loss: 1.469519, acc: 0.203125] 3350: [discriminator loss: 0.490875, acc: 0.796875] [adversarial loss: 1.239264, acc: 0.171875] 3351: [discriminator loss: 0.513987, acc: 0.750000] [adversarial loss: 1.372626, acc: 0.140625] 3352: [discriminator loss: 0.497509, acc: 0.726562] [adversarial loss: 1.108903, acc: 0.234375] 3353: [discriminator loss: 0.502127, acc: 0.726562] [adversarial loss: 1.385046, acc: 0.171875] 3354: [discriminator loss: 0.467685, acc: 0.750000] [adversarial loss: 1.066859, acc: 0.281250] 3355: [discriminator loss: 0.496986, acc: 0.781250] [adversarial loss: 1.431215, acc: 0.218750] 3356: [discriminator loss: 0.591351, acc: 0.664062] [adversarial loss: 1.009875, acc: 0.328125] 3357: [discriminator loss: 0.498702, acc: 0.781250] [adversarial loss: 1.620400, acc: 0.031250] 3358: [discriminator loss: 0.524041, acc: 0.726562] [adversarial loss: 1.038615, acc: 0.312500] 3359: [discriminator loss: 0.591576, acc: 0.648438] [adversarial loss: 1.421930, acc: 0.171875] 3360: [discriminator loss: 0.505092, acc: 0.750000] [adversarial loss: 1.459551, acc: 0.140625] 3361: [discriminator loss: 0.596936, acc: 0.664062] [adversarial loss: 1.166597, acc: 0.296875] 3362: [discriminator loss: 0.588878, acc: 0.679688] [adversarial loss: 1.109232, acc: 0.218750] 3363: [discriminator loss: 0.528693, acc: 0.695312] [adversarial loss: 1.052045, acc: 0.312500] 3364: [discriminator loss: 0.540283, acc: 0.726562] [adversarial loss: 1.326698, acc: 0.156250] 3365: [discriminator loss: 0.552832, acc: 0.718750] [adversarial loss: 0.927647, acc: 0.437500] 3366: [discriminator loss: 0.477935, acc: 0.750000] [adversarial loss: 1.345440, acc: 0.046875] 3367: [discriminator loss: 0.548212, acc: 0.710938] [adversarial loss: 0.988540, acc: 0.375000] 3368: [discriminator loss: 0.511511, acc: 0.742188] [adversarial loss: 0.994721, acc: 0.375000] 3369: [discriminator loss: 0.491732, acc: 0.773438] [adversarial loss: 1.610110, acc: 0.109375] 3370: [discriminator loss: 0.503652, acc: 0.687500] [adversarial loss: 0.891965, acc: 0.484375] 3371: [discriminator loss: 0.571824, acc: 0.695312] [adversarial loss: 1.650162, acc: 0.093750] 3372: [discriminator loss: 0.583043, acc: 0.687500] [adversarial loss: 1.150098, acc: 0.281250] 3373: [discriminator loss: 0.541408, acc: 0.726562] [adversarial loss: 1.465922, acc: 0.156250] 3374: [discriminator loss: 0.559397, acc: 0.742188] [adversarial loss: 0.879314, acc: 0.437500] 3375: [discriminator loss: 0.550745, acc: 0.703125] [adversarial loss: 1.937526, acc: 0.046875] 3376: [discriminator loss: 0.614542, acc: 0.648438] [adversarial loss: 1.191403, acc: 0.250000] 3377: [discriminator loss: 0.500696, acc: 0.750000] [adversarial loss: 1.245682, acc: 0.187500] 3378: [discriminator loss: 0.532773, acc: 0.742188] [adversarial loss: 1.055561, acc: 0.250000] 3379: [discriminator loss: 0.540224, acc: 0.703125] [adversarial loss: 1.584913, acc: 0.093750] 3380: [discriminator loss: 0.538596, acc: 0.750000] [adversarial loss: 1.272788, acc: 0.125000] 3381: [discriminator loss: 0.533273, acc: 0.742188] [adversarial loss: 1.164314, acc: 0.187500] 3382: [discriminator loss: 0.473715, acc: 0.773438] [adversarial loss: 1.308138, acc: 0.234375] 3383: [discriminator loss: 0.521843, acc: 0.718750] [adversarial loss: 0.941384, acc: 0.343750] 3384: [discriminator loss: 0.482985, acc: 0.757812] [adversarial loss: 1.598027, acc: 0.078125] 3385: [discriminator loss: 0.496585, acc: 0.773438] [adversarial loss: 0.874841, acc: 0.468750] 3386: [discriminator loss: 0.529488, acc: 0.703125] [adversarial loss: 1.478458, acc: 0.093750] 3387: [discriminator loss: 0.569286, acc: 0.687500] [adversarial loss: 0.915064, acc: 0.390625] 3388: [discriminator loss: 0.500512, acc: 0.734375] [adversarial loss: 1.432334, acc: 0.187500] 3389: [discriminator loss: 0.527553, acc: 0.734375] [adversarial loss: 1.126077, acc: 0.343750] 3390: [discriminator loss: 0.498009, acc: 0.773438] [adversarial loss: 1.421808, acc: 0.156250] 3391: [discriminator loss: 0.580820, acc: 0.695312] [adversarial loss: 1.093623, acc: 0.250000] 3392: [discriminator loss: 0.509173, acc: 0.789062] [adversarial loss: 1.157427, acc: 0.281250] 3393: [discriminator loss: 0.591143, acc: 0.671875] [adversarial loss: 1.747236, acc: 0.093750] 3394: [discriminator loss: 0.545017, acc: 0.742188] [adversarial loss: 1.134364, acc: 0.218750] 3395: [discriminator loss: 0.563081, acc: 0.734375] [adversarial loss: 1.463046, acc: 0.078125] 3396: [discriminator loss: 0.550547, acc: 0.695312] [adversarial loss: 0.913384, acc: 0.375000] 3397: [discriminator loss: 0.550727, acc: 0.726562] [adversarial loss: 1.389859, acc: 0.171875] 3398: [discriminator loss: 0.499844, acc: 0.734375] [adversarial loss: 0.807523, acc: 0.453125] 3399: [discriminator loss: 0.542624, acc: 0.742188] [adversarial loss: 1.557526, acc: 0.062500] 3400: [discriminator loss: 0.516151, acc: 0.726562] [adversarial loss: 0.996934, acc: 0.359375] 3401: [discriminator loss: 0.524227, acc: 0.718750] [adversarial loss: 1.552598, acc: 0.125000] 3402: [discriminator loss: 0.589166, acc: 0.656250] [adversarial loss: 0.947050, acc: 0.406250] 3403: [discriminator loss: 0.563692, acc: 0.710938] [adversarial loss: 1.417642, acc: 0.203125] 3404: [discriminator loss: 0.524793, acc: 0.726562] [adversarial loss: 0.843058, acc: 0.390625] 3405: [discriminator loss: 0.590772, acc: 0.703125] [adversarial loss: 1.746432, acc: 0.046875] 3406: [discriminator loss: 0.536322, acc: 0.734375] [adversarial loss: 0.995991, acc: 0.250000] 3407: [discriminator loss: 0.511091, acc: 0.718750] [adversarial loss: 1.273066, acc: 0.265625] 3408: [discriminator loss: 0.538983, acc: 0.734375] [adversarial loss: 1.140986, acc: 0.265625] 3409: [discriminator loss: 0.503418, acc: 0.750000] [adversarial loss: 1.388459, acc: 0.125000] 3410: [discriminator loss: 0.553165, acc: 0.726562] [adversarial loss: 1.000893, acc: 0.328125] 3411: [discriminator loss: 0.449620, acc: 0.750000] [adversarial loss: 1.612211, acc: 0.125000] 3412: [discriminator loss: 0.464515, acc: 0.773438] [adversarial loss: 1.048767, acc: 0.375000] 3413: [discriminator loss: 0.510823, acc: 0.726562] [adversarial loss: 1.217482, acc: 0.203125] 3414: [discriminator loss: 0.556080, acc: 0.718750] [adversarial loss: 1.293341, acc: 0.187500] 3415: [discriminator loss: 0.537171, acc: 0.781250] [adversarial loss: 1.183028, acc: 0.234375] 3416: [discriminator loss: 0.498211, acc: 0.757812] [adversarial loss: 1.299756, acc: 0.203125] 3417: [discriminator loss: 0.520278, acc: 0.718750] [adversarial loss: 1.132305, acc: 0.250000] 3418: [discriminator loss: 0.538416, acc: 0.726562] [adversarial loss: 1.540785, acc: 0.140625] 3419: [discriminator loss: 0.483751, acc: 0.796875] [adversarial loss: 1.368542, acc: 0.234375] 3420: [discriminator loss: 0.539012, acc: 0.726562] [adversarial loss: 0.898291, acc: 0.406250] 3421: [discriminator loss: 0.419665, acc: 0.812500] [adversarial loss: 1.381954, acc: 0.218750] 3422: [discriminator loss: 0.543171, acc: 0.750000] [adversarial loss: 0.958408, acc: 0.312500] 3423: [discriminator loss: 0.516136, acc: 0.742188] [adversarial loss: 1.189116, acc: 0.250000] 3424: [discriminator loss: 0.563777, acc: 0.710938] [adversarial loss: 1.195429, acc: 0.328125] 3425: [discriminator loss: 0.642599, acc: 0.648438] [adversarial loss: 1.513459, acc: 0.093750] 3426: [discriminator loss: 0.504491, acc: 0.765625] [adversarial loss: 0.802321, acc: 0.421875] 3427: [discriminator loss: 0.573080, acc: 0.718750] [adversarial loss: 1.606099, acc: 0.125000] 3428: [discriminator loss: 0.516997, acc: 0.765625] [adversarial loss: 1.013151, acc: 0.328125] 3429: [discriminator loss: 0.576519, acc: 0.710938] [adversarial loss: 1.586710, acc: 0.093750] 3430: [discriminator loss: 0.517724, acc: 0.726562] [adversarial loss: 0.921601, acc: 0.375000] 3431: [discriminator loss: 0.546144, acc: 0.710938] [adversarial loss: 1.914180, acc: 0.078125] 3432: [discriminator loss: 0.586896, acc: 0.695312] [adversarial loss: 0.851924, acc: 0.437500] 3433: [discriminator loss: 0.552719, acc: 0.703125] [adversarial loss: 1.329234, acc: 0.187500] 3434: [discriminator loss: 0.549670, acc: 0.718750] [adversarial loss: 0.941683, acc: 0.359375] 3435: [discriminator loss: 0.521810, acc: 0.734375] [adversarial loss: 1.481527, acc: 0.109375] 3436: [discriminator loss: 0.516006, acc: 0.718750] [adversarial loss: 1.173135, acc: 0.203125] 3437: [discriminator loss: 0.548278, acc: 0.703125] [adversarial loss: 1.047709, acc: 0.312500] 3438: [discriminator loss: 0.556325, acc: 0.718750] [adversarial loss: 1.328806, acc: 0.156250] 3439: [discriminator loss: 0.534319, acc: 0.773438] [adversarial loss: 1.256562, acc: 0.234375] 3440: [discriminator loss: 0.505328, acc: 0.726562] [adversarial loss: 1.433429, acc: 0.109375] 3441: [discriminator loss: 0.476766, acc: 0.796875] [adversarial loss: 1.281936, acc: 0.281250] 3442: [discriminator loss: 0.594394, acc: 0.679688] [adversarial loss: 0.998546, acc: 0.281250] 3443: [discriminator loss: 0.510636, acc: 0.742188] [adversarial loss: 1.541925, acc: 0.109375] 3444: [discriminator loss: 0.547638, acc: 0.726562] [adversarial loss: 0.993774, acc: 0.375000] 3445: [discriminator loss: 0.530730, acc: 0.765625] [adversarial loss: 1.698976, acc: 0.078125] 3446: [discriminator loss: 0.590450, acc: 0.679688] [adversarial loss: 1.002878, acc: 0.312500] 3447: [discriminator loss: 0.532797, acc: 0.734375] [adversarial loss: 1.546009, acc: 0.093750] 3448: [discriminator loss: 0.488866, acc: 0.757812] [adversarial loss: 1.041470, acc: 0.312500] 3449: [discriminator loss: 0.531201, acc: 0.742188] [adversarial loss: 0.999916, acc: 0.312500] 3450: [discriminator loss: 0.512016, acc: 0.742188] [adversarial loss: 1.176539, acc: 0.234375] 3451: [discriminator loss: 0.527731, acc: 0.726562] [adversarial loss: 1.451402, acc: 0.187500] 3452: [discriminator loss: 0.503435, acc: 0.710938] [adversarial loss: 1.126638, acc: 0.234375] 3453: [discriminator loss: 0.480966, acc: 0.781250] [adversarial loss: 1.218026, acc: 0.250000] 3454: [discriminator loss: 0.562225, acc: 0.679688] [adversarial loss: 1.347596, acc: 0.140625] 3455: [discriminator loss: 0.484594, acc: 0.757812] [adversarial loss: 1.101055, acc: 0.281250] 3456: [discriminator loss: 0.590690, acc: 0.710938] [adversarial loss: 1.433693, acc: 0.125000] 3457: [discriminator loss: 0.452771, acc: 0.796875] [adversarial loss: 1.513999, acc: 0.125000] 3458: [discriminator loss: 0.479490, acc: 0.765625] [adversarial loss: 1.004090, acc: 0.437500] 3459: [discriminator loss: 0.576494, acc: 0.734375] [adversarial loss: 1.768615, acc: 0.125000] 3460: [discriminator loss: 0.538579, acc: 0.742188] [adversarial loss: 0.960457, acc: 0.390625] 3461: [discriminator loss: 0.487670, acc: 0.750000] [adversarial loss: 1.439455, acc: 0.093750] 3462: [discriminator loss: 0.549211, acc: 0.750000] [adversarial loss: 0.902225, acc: 0.359375] 3463: [discriminator loss: 0.532878, acc: 0.703125] [adversarial loss: 1.388808, acc: 0.125000] 3464: [discriminator loss: 0.540351, acc: 0.742188] [adversarial loss: 0.909785, acc: 0.437500] 3465: [discriminator loss: 0.544630, acc: 0.718750] [adversarial loss: 1.395127, acc: 0.187500] 3466: [discriminator loss: 0.583874, acc: 0.703125] [adversarial loss: 1.134151, acc: 0.265625] 3467: [discriminator loss: 0.553587, acc: 0.757812] [adversarial loss: 1.162120, acc: 0.265625] 3468: [discriminator loss: 0.471996, acc: 0.765625] [adversarial loss: 1.144887, acc: 0.281250] 3469: [discriminator loss: 0.549938, acc: 0.703125] [adversarial loss: 1.309008, acc: 0.156250] 3470: [discriminator loss: 0.548191, acc: 0.726562] [adversarial loss: 0.820850, acc: 0.515625] 3471: [discriminator loss: 0.539861, acc: 0.718750] [adversarial loss: 1.581657, acc: 0.093750] 3472: [discriminator loss: 0.525706, acc: 0.757812] [adversarial loss: 1.026780, acc: 0.312500] 3473: [discriminator loss: 0.524462, acc: 0.773438] [adversarial loss: 1.620645, acc: 0.093750] 3474: [discriminator loss: 0.515232, acc: 0.789062] [adversarial loss: 0.889727, acc: 0.375000] 3475: [discriminator loss: 0.541680, acc: 0.726562] [adversarial loss: 1.545555, acc: 0.109375] 3476: [discriminator loss: 0.522352, acc: 0.703125] [adversarial loss: 1.128852, acc: 0.312500] 3477: [discriminator loss: 0.580195, acc: 0.726562] [adversarial loss: 1.564300, acc: 0.125000] 3478: [discriminator loss: 0.535187, acc: 0.718750] [adversarial loss: 1.089455, acc: 0.296875] 3479: [discriminator loss: 0.544501, acc: 0.781250] [adversarial loss: 1.650403, acc: 0.046875] 3480: [discriminator loss: 0.515445, acc: 0.718750] [adversarial loss: 1.088874, acc: 0.250000] 3481: [discriminator loss: 0.514738, acc: 0.757812] [adversarial loss: 1.241408, acc: 0.250000] 3482: [discriminator loss: 0.506875, acc: 0.734375] [adversarial loss: 1.200626, acc: 0.250000] 3483: [discriminator loss: 0.515461, acc: 0.757812] [adversarial loss: 1.600822, acc: 0.125000] 3484: [discriminator loss: 0.546371, acc: 0.718750] [adversarial loss: 1.190629, acc: 0.265625] 3485: [discriminator loss: 0.490826, acc: 0.781250] [adversarial loss: 1.044483, acc: 0.328125] 3486: [discriminator loss: 0.483501, acc: 0.781250] [adversarial loss: 1.353910, acc: 0.218750] 3487: [discriminator loss: 0.493670, acc: 0.750000] [adversarial loss: 1.159990, acc: 0.203125] 3488: [discriminator loss: 0.465811, acc: 0.773438] [adversarial loss: 1.300554, acc: 0.218750] 3489: [discriminator loss: 0.585027, acc: 0.679688] [adversarial loss: 1.313093, acc: 0.125000] 3490: [discriminator loss: 0.441423, acc: 0.804688] [adversarial loss: 1.282706, acc: 0.250000] 3491: [discriminator loss: 0.491906, acc: 0.718750] [adversarial loss: 1.372465, acc: 0.093750] 3492: [discriminator loss: 0.559777, acc: 0.695312] [adversarial loss: 1.106037, acc: 0.312500] 3493: [discriminator loss: 0.616677, acc: 0.648438] [adversarial loss: 1.120626, acc: 0.312500] 3494: [discriminator loss: 0.552145, acc: 0.718750] [adversarial loss: 1.100466, acc: 0.312500] 3495: [discriminator loss: 0.495483, acc: 0.734375] [adversarial loss: 1.360271, acc: 0.156250] 3496: [discriminator loss: 0.517984, acc: 0.726562] [adversarial loss: 1.083243, acc: 0.312500] 3497: [discriminator loss: 0.558596, acc: 0.742188] [adversarial loss: 1.372650, acc: 0.234375] 3498: [discriminator loss: 0.538470, acc: 0.718750] [adversarial loss: 1.030055, acc: 0.390625] 3499: [discriminator loss: 0.487221, acc: 0.773438] [adversarial loss: 1.301706, acc: 0.171875] 3500: [discriminator loss: 0.532417, acc: 0.718750] [adversarial loss: 1.159487, acc: 0.234375] 3501: [discriminator loss: 0.569407, acc: 0.687500] [adversarial loss: 1.401828, acc: 0.187500] 3502: [discriminator loss: 0.539937, acc: 0.703125] [adversarial loss: 1.115254, acc: 0.250000] 3503: [discriminator loss: 0.541809, acc: 0.742188] [adversarial loss: 1.289620, acc: 0.171875] 3504: [discriminator loss: 0.509723, acc: 0.750000] [adversarial loss: 1.238593, acc: 0.140625] 3505: [discriminator loss: 0.474460, acc: 0.757812] [adversarial loss: 1.415502, acc: 0.187500] 3506: [discriminator loss: 0.470890, acc: 0.765625] [adversarial loss: 1.177732, acc: 0.187500] 3507: [discriminator loss: 0.448944, acc: 0.796875] [adversarial loss: 1.700258, acc: 0.062500] 3508: [discriminator loss: 0.441860, acc: 0.804688] [adversarial loss: 0.918664, acc: 0.390625] 3509: [discriminator loss: 0.560148, acc: 0.718750] [adversarial loss: 1.782391, acc: 0.093750] 3510: [discriminator loss: 0.635340, acc: 0.656250] [adversarial loss: 0.735067, acc: 0.468750] 3511: [discriminator loss: 0.693187, acc: 0.593750] [adversarial loss: 2.054496, acc: 0.062500] 3512: [discriminator loss: 0.587808, acc: 0.671875] [adversarial loss: 0.884291, acc: 0.500000] 3513: [discriminator loss: 0.625419, acc: 0.687500] [adversarial loss: 1.605775, acc: 0.125000] 3514: [discriminator loss: 0.489562, acc: 0.765625] [adversarial loss: 1.140189, acc: 0.265625] 3515: [discriminator loss: 0.531135, acc: 0.726562] [adversarial loss: 1.067902, acc: 0.343750] 3516: [discriminator loss: 0.682061, acc: 0.617188] [adversarial loss: 1.116174, acc: 0.234375] 3517: [discriminator loss: 0.521567, acc: 0.750000] [adversarial loss: 1.430624, acc: 0.156250] 3518: [discriminator loss: 0.519011, acc: 0.757812] [adversarial loss: 1.257974, acc: 0.140625] 3519: [discriminator loss: 0.569980, acc: 0.703125] [adversarial loss: 1.094276, acc: 0.234375] 3520: [discriminator loss: 0.530408, acc: 0.765625] [adversarial loss: 1.335211, acc: 0.078125] 3521: [discriminator loss: 0.509009, acc: 0.710938] [adversarial loss: 1.083497, acc: 0.281250] 3522: [discriminator loss: 0.520336, acc: 0.757812] [adversarial loss: 1.346458, acc: 0.171875] 3523: [discriminator loss: 0.464952, acc: 0.796875] [adversarial loss: 1.166217, acc: 0.265625] 3524: [discriminator loss: 0.488966, acc: 0.734375] [adversarial loss: 1.280970, acc: 0.171875] 3525: [discriminator loss: 0.496433, acc: 0.765625] [adversarial loss: 1.434265, acc: 0.140625] 3526: [discriminator loss: 0.543835, acc: 0.726562] [adversarial loss: 1.019395, acc: 0.296875] 3527: [discriminator loss: 0.603968, acc: 0.695312] [adversarial loss: 1.587477, acc: 0.062500] 3528: [discriminator loss: 0.537083, acc: 0.726562] [adversarial loss: 0.824815, acc: 0.468750] 3529: [discriminator loss: 0.503681, acc: 0.789062] [adversarial loss: 1.844491, acc: 0.109375] 3530: [discriminator loss: 0.558660, acc: 0.664062] [adversarial loss: 0.801258, acc: 0.531250] 3531: [discriminator loss: 0.591883, acc: 0.671875] [adversarial loss: 1.720554, acc: 0.156250] 3532: [discriminator loss: 0.648748, acc: 0.632812] [adversarial loss: 1.006830, acc: 0.375000] 3533: [discriminator loss: 0.512465, acc: 0.687500] [adversarial loss: 1.230512, acc: 0.234375] 3534: [discriminator loss: 0.457872, acc: 0.789062] [adversarial loss: 1.137347, acc: 0.296875] 3535: [discriminator loss: 0.532342, acc: 0.734375] [adversarial loss: 1.297211, acc: 0.171875] 3536: [discriminator loss: 0.510644, acc: 0.757812] [adversarial loss: 1.408718, acc: 0.140625] 3537: [discriminator loss: 0.487003, acc: 0.773438] [adversarial loss: 1.135475, acc: 0.234375] 3538: [discriminator loss: 0.517466, acc: 0.726562] [adversarial loss: 1.545831, acc: 0.109375] 3539: [discriminator loss: 0.534778, acc: 0.726562] [adversarial loss: 1.006721, acc: 0.390625] 3540: [discriminator loss: 0.525594, acc: 0.726562] [adversarial loss: 1.437671, acc: 0.125000] 3541: [discriminator loss: 0.511577, acc: 0.765625] [adversarial loss: 0.950210, acc: 0.406250] 3542: [discriminator loss: 0.610645, acc: 0.679688] [adversarial loss: 1.497218, acc: 0.140625] 3543: [discriminator loss: 0.573098, acc: 0.671875] [adversarial loss: 1.104835, acc: 0.265625] 3544: [discriminator loss: 0.505249, acc: 0.750000] [adversarial loss: 1.719992, acc: 0.062500] 3545: [discriminator loss: 0.584735, acc: 0.687500] [adversarial loss: 0.818820, acc: 0.515625] 3546: [discriminator loss: 0.468342, acc: 0.765625] [adversarial loss: 1.635572, acc: 0.093750] 3547: [discriminator loss: 0.514833, acc: 0.765625] [adversarial loss: 1.026520, acc: 0.343750] 3548: [discriminator loss: 0.503950, acc: 0.765625] [adversarial loss: 1.408200, acc: 0.140625] 3549: [discriminator loss: 0.590316, acc: 0.656250] [adversarial loss: 1.245602, acc: 0.187500] 3550: [discriminator loss: 0.447522, acc: 0.804688] [adversarial loss: 1.506554, acc: 0.171875] 3551: [discriminator loss: 0.495862, acc: 0.765625] [adversarial loss: 1.096977, acc: 0.312500] 3552: [discriminator loss: 0.469444, acc: 0.773438] [adversarial loss: 1.447382, acc: 0.156250] 3553: [discriminator loss: 0.496717, acc: 0.703125] [adversarial loss: 0.900894, acc: 0.437500] 3554: [discriminator loss: 0.524113, acc: 0.750000] [adversarial loss: 1.442524, acc: 0.140625] 3555: [discriminator loss: 0.506984, acc: 0.742188] [adversarial loss: 1.310042, acc: 0.156250] 3556: [discriminator loss: 0.542617, acc: 0.710938] [adversarial loss: 0.967765, acc: 0.437500] 3557: [discriminator loss: 0.522208, acc: 0.718750] [adversarial loss: 1.657175, acc: 0.031250] 3558: [discriminator loss: 0.523337, acc: 0.742188] [adversarial loss: 1.023847, acc: 0.312500] 3559: [discriminator loss: 0.535850, acc: 0.773438] [adversarial loss: 1.673103, acc: 0.093750] 3560: [discriminator loss: 0.542154, acc: 0.695312] [adversarial loss: 0.845029, acc: 0.437500] 3561: [discriminator loss: 0.536064, acc: 0.734375] [adversarial loss: 1.515736, acc: 0.171875] 3562: [discriminator loss: 0.481113, acc: 0.734375] [adversarial loss: 1.021640, acc: 0.328125] 3563: [discriminator loss: 0.499922, acc: 0.773438] [adversarial loss: 1.330533, acc: 0.234375] 3564: [discriminator loss: 0.505604, acc: 0.742188] [adversarial loss: 0.929096, acc: 0.421875] 3565: [discriminator loss: 0.532674, acc: 0.765625] [adversarial loss: 1.317120, acc: 0.218750] 3566: [discriminator loss: 0.582255, acc: 0.742188] [adversarial loss: 1.160696, acc: 0.234375] 3567: [discriminator loss: 0.523459, acc: 0.703125] [adversarial loss: 1.453775, acc: 0.171875] 3568: [discriminator loss: 0.537154, acc: 0.718750] [adversarial loss: 1.121128, acc: 0.312500] 3569: [discriminator loss: 0.488839, acc: 0.781250] [adversarial loss: 1.618268, acc: 0.078125] 3570: [discriminator loss: 0.517256, acc: 0.750000] [adversarial loss: 0.793599, acc: 0.453125] 3571: [discriminator loss: 0.546604, acc: 0.734375] [adversarial loss: 1.722126, acc: 0.078125] 3572: [discriminator loss: 0.539914, acc: 0.703125] [adversarial loss: 0.900380, acc: 0.328125] 3573: [discriminator loss: 0.587294, acc: 0.703125] [adversarial loss: 1.562010, acc: 0.078125] 3574: [discriminator loss: 0.538657, acc: 0.750000] [adversarial loss: 1.032014, acc: 0.343750] 3575: [discriminator loss: 0.557407, acc: 0.695312] [adversarial loss: 1.441917, acc: 0.062500] 3576: [discriminator loss: 0.566510, acc: 0.726562] [adversarial loss: 1.452445, acc: 0.156250] 3577: [discriminator loss: 0.590329, acc: 0.679688] [adversarial loss: 0.935473, acc: 0.406250] 3578: [discriminator loss: 0.589067, acc: 0.687500] [adversarial loss: 1.651339, acc: 0.109375] 3579: [discriminator loss: 0.503867, acc: 0.750000] [adversarial loss: 0.983832, acc: 0.343750] 3580: [discriminator loss: 0.608865, acc: 0.718750] [adversarial loss: 1.730918, acc: 0.187500] 3581: [discriminator loss: 0.581402, acc: 0.718750] [adversarial loss: 1.096357, acc: 0.328125] 3582: [discriminator loss: 0.552350, acc: 0.710938] [adversarial loss: 1.441878, acc: 0.125000] 3583: [discriminator loss: 0.520690, acc: 0.757812] [adversarial loss: 0.845990, acc: 0.406250] 3584: [discriminator loss: 0.530128, acc: 0.742188] [adversarial loss: 1.509001, acc: 0.156250] 3585: [discriminator loss: 0.505439, acc: 0.773438] [adversarial loss: 1.336933, acc: 0.187500] 3586: [discriminator loss: 0.504460, acc: 0.789062] [adversarial loss: 1.298121, acc: 0.187500] 3587: [discriminator loss: 0.561207, acc: 0.703125] [adversarial loss: 1.168917, acc: 0.234375] 3588: [discriminator loss: 0.459927, acc: 0.765625] [adversarial loss: 1.057585, acc: 0.250000] 3589: [discriminator loss: 0.576569, acc: 0.726562] [adversarial loss: 1.059769, acc: 0.250000] 3590: [discriminator loss: 0.533749, acc: 0.734375] [adversarial loss: 1.429882, acc: 0.156250] 3591: [discriminator loss: 0.506738, acc: 0.734375] [adversarial loss: 1.257476, acc: 0.234375] 3592: [discriminator loss: 0.551526, acc: 0.703125] [adversarial loss: 1.333909, acc: 0.125000] 3593: [discriminator loss: 0.469585, acc: 0.781250] [adversarial loss: 1.042583, acc: 0.296875] 3594: [discriminator loss: 0.570758, acc: 0.718750] [adversarial loss: 1.234144, acc: 0.203125] 3595: [discriminator loss: 0.603275, acc: 0.664062] [adversarial loss: 1.383988, acc: 0.109375] 3596: [discriminator loss: 0.550240, acc: 0.695312] [adversarial loss: 0.806259, acc: 0.531250] 3597: [discriminator loss: 0.658875, acc: 0.679688] [adversarial loss: 1.496825, acc: 0.250000] 3598: [discriminator loss: 0.592271, acc: 0.687500] [adversarial loss: 1.079742, acc: 0.234375] 3599: [discriminator loss: 0.532281, acc: 0.726562] [adversarial loss: 1.203373, acc: 0.234375] 3600: [discriminator loss: 0.498507, acc: 0.757812] [adversarial loss: 0.966592, acc: 0.375000] 3601: [discriminator loss: 0.515542, acc: 0.757812] [adversarial loss: 1.426440, acc: 0.109375] 3602: [discriminator loss: 0.555760, acc: 0.703125] [adversarial loss: 1.095606, acc: 0.250000] 3603: [discriminator loss: 0.510144, acc: 0.757812] [adversarial loss: 1.675272, acc: 0.093750] 3604: [discriminator loss: 0.534548, acc: 0.718750] [adversarial loss: 0.941893, acc: 0.343750] 3605: [discriminator loss: 0.558927, acc: 0.734375] [adversarial loss: 1.410767, acc: 0.140625] 3606: [discriminator loss: 0.552036, acc: 0.703125] [adversarial loss: 1.039481, acc: 0.359375] 3607: [discriminator loss: 0.489886, acc: 0.750000] [adversarial loss: 1.632681, acc: 0.125000] 3608: [discriminator loss: 0.559250, acc: 0.703125] [adversarial loss: 0.952001, acc: 0.421875] 3609: [discriminator loss: 0.501359, acc: 0.750000] [adversarial loss: 1.517590, acc: 0.187500] 3610: [discriminator loss: 0.602174, acc: 0.703125] [adversarial loss: 0.801747, acc: 0.421875] 3611: [discriminator loss: 0.568695, acc: 0.671875] [adversarial loss: 1.274677, acc: 0.250000] 3612: [discriminator loss: 0.483352, acc: 0.765625] [adversarial loss: 1.411091, acc: 0.062500] 3613: [discriminator loss: 0.508292, acc: 0.742188] [adversarial loss: 1.104798, acc: 0.250000] 3614: [discriminator loss: 0.462569, acc: 0.742188] [adversarial loss: 1.289249, acc: 0.218750] 3615: [discriminator loss: 0.590971, acc: 0.710938] [adversarial loss: 1.173290, acc: 0.234375] 3616: [discriminator loss: 0.517092, acc: 0.726562] [adversarial loss: 1.258916, acc: 0.187500] 3617: [discriminator loss: 0.493701, acc: 0.765625] [adversarial loss: 1.196282, acc: 0.328125] 3618: [discriminator loss: 0.540270, acc: 0.757812] [adversarial loss: 1.233837, acc: 0.156250] 3619: [discriminator loss: 0.545157, acc: 0.679688] [adversarial loss: 1.205457, acc: 0.171875] 3620: [discriminator loss: 0.493149, acc: 0.742188] [adversarial loss: 1.045059, acc: 0.234375] 3621: [discriminator loss: 0.467063, acc: 0.773438] [adversarial loss: 1.592961, acc: 0.093750] 3622: [discriminator loss: 0.575424, acc: 0.695312] [adversarial loss: 0.818091, acc: 0.468750] 3623: [discriminator loss: 0.522716, acc: 0.773438] [adversarial loss: 1.666302, acc: 0.078125] 3624: [discriminator loss: 0.596201, acc: 0.695312] [adversarial loss: 0.945931, acc: 0.390625] 3625: [discriminator loss: 0.572245, acc: 0.726562] [adversarial loss: 1.485039, acc: 0.156250] 3626: [discriminator loss: 0.511841, acc: 0.757812] [adversarial loss: 1.361947, acc: 0.171875] 3627: [discriminator loss: 0.505574, acc: 0.781250] [adversarial loss: 1.186496, acc: 0.343750] 3628: [discriminator loss: 0.490681, acc: 0.765625] [adversarial loss: 1.585797, acc: 0.171875] 3629: [discriminator loss: 0.498455, acc: 0.750000] [adversarial loss: 1.172293, acc: 0.218750] 3630: [discriminator loss: 0.485954, acc: 0.742188] [adversarial loss: 1.365639, acc: 0.187500] 3631: [discriminator loss: 0.506281, acc: 0.781250] [adversarial loss: 0.924582, acc: 0.375000] 3632: [discriminator loss: 0.496004, acc: 0.796875] [adversarial loss: 1.589751, acc: 0.125000] 3633: [discriminator loss: 0.551291, acc: 0.671875] [adversarial loss: 0.965158, acc: 0.359375] 3634: [discriminator loss: 0.473423, acc: 0.773438] [adversarial loss: 1.493539, acc: 0.125000] 3635: [discriminator loss: 0.597161, acc: 0.695312] [adversarial loss: 0.791855, acc: 0.484375] 3636: [discriminator loss: 0.561492, acc: 0.687500] [adversarial loss: 1.737898, acc: 0.093750] 3637: [discriminator loss: 0.567151, acc: 0.679688] [adversarial loss: 1.078294, acc: 0.375000] 3638: [discriminator loss: 0.560166, acc: 0.710938] [adversarial loss: 1.445823, acc: 0.203125] 3639: [discriminator loss: 0.527397, acc: 0.742188] [adversarial loss: 1.088071, acc: 0.390625] 3640: [discriminator loss: 0.578097, acc: 0.687500] [adversarial loss: 1.269559, acc: 0.156250] 3641: [discriminator loss: 0.536671, acc: 0.710938] [adversarial loss: 1.204506, acc: 0.281250] 3642: [discriminator loss: 0.545836, acc: 0.734375] [adversarial loss: 1.269315, acc: 0.203125] 3643: [discriminator loss: 0.513292, acc: 0.718750] [adversarial loss: 1.221672, acc: 0.187500] 3644: [discriminator loss: 0.505732, acc: 0.773438] [adversarial loss: 1.161217, acc: 0.281250] 3645: [discriminator loss: 0.542809, acc: 0.750000] [adversarial loss: 1.384620, acc: 0.187500] 3646: [discriminator loss: 0.527234, acc: 0.726562] [adversarial loss: 1.013596, acc: 0.312500] 3647: [discriminator loss: 0.524775, acc: 0.742188] [adversarial loss: 1.648871, acc: 0.046875] 3648: [discriminator loss: 0.560245, acc: 0.742188] [adversarial loss: 0.656959, acc: 0.609375] 3649: [discriminator loss: 0.645522, acc: 0.640625] [adversarial loss: 1.838341, acc: 0.062500] 3650: [discriminator loss: 0.611893, acc: 0.664062] [adversarial loss: 0.752752, acc: 0.531250] 3651: [discriminator loss: 0.557948, acc: 0.742188] [adversarial loss: 1.350472, acc: 0.109375] 3652: [discriminator loss: 0.563724, acc: 0.703125] [adversarial loss: 1.028965, acc: 0.406250] 3653: [discriminator loss: 0.537911, acc: 0.687500] [adversarial loss: 1.209069, acc: 0.281250] 3654: [discriminator loss: 0.575932, acc: 0.687500] [adversarial loss: 1.165223, acc: 0.281250] 3655: [discriminator loss: 0.507471, acc: 0.804688] [adversarial loss: 0.994265, acc: 0.281250] 3656: [discriminator loss: 0.449562, acc: 0.804688] [adversarial loss: 1.376993, acc: 0.234375] 3657: [discriminator loss: 0.628727, acc: 0.671875] [adversarial loss: 1.110690, acc: 0.234375] 3658: [discriminator loss: 0.500951, acc: 0.765625] [adversarial loss: 1.358830, acc: 0.156250] 3659: [discriminator loss: 0.459178, acc: 0.773438] [adversarial loss: 1.094597, acc: 0.281250] 3660: [discriminator loss: 0.567514, acc: 0.734375] [adversarial loss: 1.502332, acc: 0.109375] 3661: [discriminator loss: 0.554628, acc: 0.695312] [adversarial loss: 1.004821, acc: 0.359375] 3662: [discriminator loss: 0.570787, acc: 0.734375] [adversarial loss: 1.458267, acc: 0.078125] 3663: [discriminator loss: 0.574017, acc: 0.703125] [adversarial loss: 1.001880, acc: 0.359375] 3664: [discriminator loss: 0.485560, acc: 0.757812] [adversarial loss: 1.609818, acc: 0.093750] 3665: [discriminator loss: 0.556813, acc: 0.718750] [adversarial loss: 1.026723, acc: 0.343750] 3666: [discriminator loss: 0.490837, acc: 0.789062] [adversarial loss: 1.441685, acc: 0.109375] 3667: [discriminator loss: 0.455109, acc: 0.789062] [adversarial loss: 1.178708, acc: 0.265625] 3668: [discriminator loss: 0.521537, acc: 0.757812] [adversarial loss: 1.239915, acc: 0.218750] 3669: [discriminator loss: 0.518388, acc: 0.734375] [adversarial loss: 1.181439, acc: 0.234375] 3670: [discriminator loss: 0.480141, acc: 0.789062] [adversarial loss: 1.487334, acc: 0.171875] 3671: [discriminator loss: 0.587068, acc: 0.671875] [adversarial loss: 1.146726, acc: 0.203125] 3672: [discriminator loss: 0.510948, acc: 0.750000] [adversarial loss: 1.138879, acc: 0.312500] 3673: [discriminator loss: 0.547556, acc: 0.695312] [adversarial loss: 1.094339, acc: 0.281250] 3674: [discriminator loss: 0.566563, acc: 0.703125] [adversarial loss: 1.079171, acc: 0.250000] 3675: [discriminator loss: 0.519262, acc: 0.734375] [adversarial loss: 1.407923, acc: 0.187500] 3676: [discriminator loss: 0.562556, acc: 0.718750] [adversarial loss: 1.189675, acc: 0.156250] 3677: [discriminator loss: 0.622718, acc: 0.679688] [adversarial loss: 1.527908, acc: 0.156250] 3678: [discriminator loss: 0.545847, acc: 0.671875] [adversarial loss: 0.927567, acc: 0.453125] 3679: [discriminator loss: 0.570616, acc: 0.703125] [adversarial loss: 1.229066, acc: 0.218750] 3680: [discriminator loss: 0.546835, acc: 0.703125] [adversarial loss: 1.314883, acc: 0.218750] 3681: [discriminator loss: 0.585307, acc: 0.656250] [adversarial loss: 1.162821, acc: 0.234375] 3682: [discriminator loss: 0.519474, acc: 0.742188] [adversarial loss: 1.534697, acc: 0.140625] 3683: [discriminator loss: 0.505949, acc: 0.742188] [adversarial loss: 0.950705, acc: 0.312500] 3684: [discriminator loss: 0.596813, acc: 0.718750] [adversarial loss: 1.278982, acc: 0.218750] 3685: [discriminator loss: 0.591548, acc: 0.656250] [adversarial loss: 1.018341, acc: 0.359375] 3686: [discriminator loss: 0.605118, acc: 0.703125] [adversarial loss: 1.610105, acc: 0.093750] 3687: [discriminator loss: 0.523121, acc: 0.757812] [adversarial loss: 0.990077, acc: 0.375000] 3688: [discriminator loss: 0.488467, acc: 0.789062] [adversarial loss: 1.459928, acc: 0.125000] 3689: [discriminator loss: 0.509650, acc: 0.710938] [adversarial loss: 1.299072, acc: 0.171875] 3690: [discriminator loss: 0.493442, acc: 0.781250] [adversarial loss: 1.113446, acc: 0.328125] 3691: [discriminator loss: 0.533100, acc: 0.742188] [adversarial loss: 1.229529, acc: 0.234375] 3692: [discriminator loss: 0.515581, acc: 0.781250] [adversarial loss: 1.274176, acc: 0.250000] 3693: [discriminator loss: 0.543984, acc: 0.726562] [adversarial loss: 0.940707, acc: 0.375000] 3694: [discriminator loss: 0.464862, acc: 0.804688] [adversarial loss: 1.481862, acc: 0.187500] 3695: [discriminator loss: 0.601978, acc: 0.710938] [adversarial loss: 1.253153, acc: 0.234375] 3696: [discriminator loss: 0.482592, acc: 0.781250] [adversarial loss: 0.960684, acc: 0.312500] 3697: [discriminator loss: 0.543277, acc: 0.703125] [adversarial loss: 1.564759, acc: 0.078125] 3698: [discriminator loss: 0.603387, acc: 0.695312] [adversarial loss: 0.870868, acc: 0.421875] 3699: [discriminator loss: 0.549961, acc: 0.718750] [adversarial loss: 1.619900, acc: 0.031250] 3700: [discriminator loss: 0.512132, acc: 0.742188] [adversarial loss: 0.955542, acc: 0.343750] 3701: [discriminator loss: 0.523358, acc: 0.773438] [adversarial loss: 1.703876, acc: 0.093750] 3702: [discriminator loss: 0.550043, acc: 0.703125] [adversarial loss: 0.975585, acc: 0.375000] 3703: [discriminator loss: 0.577134, acc: 0.718750] [adversarial loss: 1.567652, acc: 0.140625] 3704: [discriminator loss: 0.552876, acc: 0.687500] [adversarial loss: 0.935458, acc: 0.421875] 3705: [discriminator loss: 0.535098, acc: 0.726562] [adversarial loss: 1.399067, acc: 0.140625] 3706: [discriminator loss: 0.543168, acc: 0.718750] [adversarial loss: 0.926936, acc: 0.421875] 3707: [discriminator loss: 0.471485, acc: 0.757812] [adversarial loss: 1.261399, acc: 0.187500] 3708: [discriminator loss: 0.588282, acc: 0.710938] [adversarial loss: 1.337542, acc: 0.234375] 3709: [discriminator loss: 0.523495, acc: 0.765625] [adversarial loss: 0.892144, acc: 0.296875] 3710: [discriminator loss: 0.548949, acc: 0.695312] [adversarial loss: 1.328360, acc: 0.171875] 3711: [discriminator loss: 0.492748, acc: 0.765625] [adversarial loss: 1.196697, acc: 0.265625] 3712: [discriminator loss: 0.478347, acc: 0.789062] [adversarial loss: 1.102596, acc: 0.234375] 3713: [discriminator loss: 0.552860, acc: 0.734375] [adversarial loss: 1.025473, acc: 0.281250] 3714: [discriminator loss: 0.466556, acc: 0.781250] [adversarial loss: 1.825476, acc: 0.062500] 3715: [discriminator loss: 0.529176, acc: 0.773438] [adversarial loss: 0.898938, acc: 0.281250] 3716: [discriminator loss: 0.502187, acc: 0.773438] [adversarial loss: 1.776001, acc: 0.062500] 3717: [discriminator loss: 0.520395, acc: 0.742188] [adversarial loss: 0.898478, acc: 0.484375] 3718: [discriminator loss: 0.573448, acc: 0.703125] [adversarial loss: 1.127545, acc: 0.218750] 3719: [discriminator loss: 0.479488, acc: 0.796875] [adversarial loss: 1.226462, acc: 0.218750] 3720: [discriminator loss: 0.566708, acc: 0.695312] [adversarial loss: 1.561610, acc: 0.062500] 3721: [discriminator loss: 0.544068, acc: 0.750000] [adversarial loss: 1.090559, acc: 0.281250] 3722: [discriminator loss: 0.518080, acc: 0.750000] [adversarial loss: 1.220045, acc: 0.250000] 3723: [discriminator loss: 0.504331, acc: 0.750000] [adversarial loss: 1.451889, acc: 0.109375] 3724: [discriminator loss: 0.528453, acc: 0.710938] [adversarial loss: 1.062245, acc: 0.265625] 3725: [discriminator loss: 0.479748, acc: 0.757812] [adversarial loss: 1.399369, acc: 0.218750] 3726: [discriminator loss: 0.515666, acc: 0.742188] [adversarial loss: 1.152901, acc: 0.203125] 3727: [discriminator loss: 0.520306, acc: 0.718750] [adversarial loss: 1.643573, acc: 0.109375] 3728: [discriminator loss: 0.613430, acc: 0.703125] [adversarial loss: 0.787559, acc: 0.515625] 3729: [discriminator loss: 0.585028, acc: 0.687500] [adversarial loss: 1.374145, acc: 0.187500] 3730: [discriminator loss: 0.483581, acc: 0.765625] [adversarial loss: 1.030911, acc: 0.406250] 3731: [discriminator loss: 0.583312, acc: 0.703125] [adversarial loss: 1.542260, acc: 0.109375] 3732: [discriminator loss: 0.592345, acc: 0.718750] [adversarial loss: 1.106490, acc: 0.421875] 3733: [discriminator loss: 0.583253, acc: 0.679688] [adversarial loss: 1.234610, acc: 0.218750] 3734: [discriminator loss: 0.520201, acc: 0.726562] [adversarial loss: 1.474452, acc: 0.109375] 3735: [discriminator loss: 0.603881, acc: 0.679688] [adversarial loss: 1.136226, acc: 0.281250] 3736: [discriminator loss: 0.566662, acc: 0.718750] [adversarial loss: 1.287384, acc: 0.203125] 3737: [discriminator loss: 0.505377, acc: 0.750000] [adversarial loss: 1.129280, acc: 0.203125] 3738: [discriminator loss: 0.526724, acc: 0.726562] [adversarial loss: 1.268844, acc: 0.140625] 3739: [discriminator loss: 0.489554, acc: 0.781250] [adversarial loss: 1.372314, acc: 0.140625] 3740: [discriminator loss: 0.478078, acc: 0.757812] [adversarial loss: 1.190430, acc: 0.187500] 3741: [discriminator loss: 0.510239, acc: 0.765625] [adversarial loss: 1.097857, acc: 0.281250] 3742: [discriminator loss: 0.586200, acc: 0.718750] [adversarial loss: 1.613487, acc: 0.171875] 3743: [discriminator loss: 0.574978, acc: 0.734375] [adversarial loss: 0.978506, acc: 0.343750] 3744: [discriminator loss: 0.563067, acc: 0.687500] [adversarial loss: 1.311085, acc: 0.218750] 3745: [discriminator loss: 0.469674, acc: 0.781250] [adversarial loss: 1.256881, acc: 0.156250] 3746: [discriminator loss: 0.466036, acc: 0.804688] [adversarial loss: 0.923806, acc: 0.375000] 3747: [discriminator loss: 0.587712, acc: 0.664062] [adversarial loss: 1.633250, acc: 0.062500] 3748: [discriminator loss: 0.576454, acc: 0.687500] [adversarial loss: 0.797323, acc: 0.468750] 3749: [discriminator loss: 0.540199, acc: 0.734375] [adversarial loss: 1.275798, acc: 0.171875] 3750: [discriminator loss: 0.556648, acc: 0.695312] [adversarial loss: 0.898121, acc: 0.390625] 3751: [discriminator loss: 0.513599, acc: 0.750000] [adversarial loss: 1.480732, acc: 0.078125] 3752: [discriminator loss: 0.563843, acc: 0.718750] [adversarial loss: 0.897089, acc: 0.421875] 3753: [discriminator loss: 0.578874, acc: 0.726562] [adversarial loss: 1.593679, acc: 0.046875] 3754: [discriminator loss: 0.551411, acc: 0.710938] [adversarial loss: 0.908218, acc: 0.406250] 3755: [discriminator loss: 0.641467, acc: 0.625000] [adversarial loss: 1.903290, acc: 0.062500] 3756: [discriminator loss: 0.648820, acc: 0.671875] [adversarial loss: 0.938948, acc: 0.343750] 3757: [discriminator loss: 0.546701, acc: 0.664062] [adversarial loss: 1.403721, acc: 0.203125] 3758: [discriminator loss: 0.474501, acc: 0.781250] [adversarial loss: 1.117246, acc: 0.328125] 3759: [discriminator loss: 0.478577, acc: 0.765625] [adversarial loss: 1.434294, acc: 0.078125] 3760: [discriminator loss: 0.565997, acc: 0.664062] [adversarial loss: 0.968433, acc: 0.390625] 3761: [discriminator loss: 0.569276, acc: 0.695312] [adversarial loss: 1.267558, acc: 0.125000] 3762: [discriminator loss: 0.626548, acc: 0.617188] [adversarial loss: 0.890539, acc: 0.437500] 3763: [discriminator loss: 0.551629, acc: 0.718750] [adversarial loss: 1.525013, acc: 0.171875] 3764: [discriminator loss: 0.574572, acc: 0.703125] [adversarial loss: 0.995668, acc: 0.390625] 3765: [discriminator loss: 0.570253, acc: 0.734375] [adversarial loss: 1.311220, acc: 0.234375] 3766: [discriminator loss: 0.478553, acc: 0.773438] [adversarial loss: 0.937392, acc: 0.328125] 3767: [discriminator loss: 0.577337, acc: 0.695312] [adversarial loss: 1.359887, acc: 0.078125] 3768: [discriminator loss: 0.451092, acc: 0.773438] [adversarial loss: 1.198057, acc: 0.218750] 3769: [discriminator loss: 0.493117, acc: 0.796875] [adversarial loss: 1.730653, acc: 0.156250] 3770: [discriminator loss: 0.523343, acc: 0.750000] [adversarial loss: 0.966383, acc: 0.421875] 3771: [discriminator loss: 0.577404, acc: 0.695312] [adversarial loss: 1.837044, acc: 0.156250] 3772: [discriminator loss: 0.646330, acc: 0.679688] [adversarial loss: 0.854662, acc: 0.421875] 3773: [discriminator loss: 0.493629, acc: 0.781250] [adversarial loss: 1.139833, acc: 0.265625] 3774: [discriminator loss: 0.513407, acc: 0.750000] [adversarial loss: 1.523103, acc: 0.171875] 3775: [discriminator loss: 0.509620, acc: 0.742188] [adversarial loss: 1.192718, acc: 0.203125] 3776: [discriminator loss: 0.553655, acc: 0.742188] [adversarial loss: 1.087711, acc: 0.312500] 3777: [discriminator loss: 0.493138, acc: 0.773438] [adversarial loss: 1.480439, acc: 0.125000] 3778: [discriminator loss: 0.519972, acc: 0.710938] [adversarial loss: 1.135710, acc: 0.218750] 3779: [discriminator loss: 0.468121, acc: 0.781250] [adversarial loss: 1.405485, acc: 0.125000] 3780: [discriminator loss: 0.492723, acc: 0.765625] [adversarial loss: 0.901564, acc: 0.390625] 3781: [discriminator loss: 0.532749, acc: 0.726562] [adversarial loss: 1.127483, acc: 0.312500] 3782: [discriminator loss: 0.497639, acc: 0.789062] [adversarial loss: 1.014605, acc: 0.312500] 3783: [discriminator loss: 0.550532, acc: 0.687500] [adversarial loss: 1.146041, acc: 0.281250] 3784: [discriminator loss: 0.456770, acc: 0.812500] [adversarial loss: 1.192678, acc: 0.250000] 3785: [discriminator loss: 0.515247, acc: 0.734375] [adversarial loss: 1.237184, acc: 0.281250] 3786: [discriminator loss: 0.546496, acc: 0.710938] [adversarial loss: 1.173168, acc: 0.171875] 3787: [discriminator loss: 0.526386, acc: 0.757812] [adversarial loss: 1.146651, acc: 0.250000] 3788: [discriminator loss: 0.514482, acc: 0.765625] [adversarial loss: 1.239223, acc: 0.171875] 3789: [discriminator loss: 0.509674, acc: 0.742188] [adversarial loss: 1.181336, acc: 0.250000] 3790: [discriminator loss: 0.595555, acc: 0.679688] [adversarial loss: 1.424143, acc: 0.109375] 3791: [discriminator loss: 0.510047, acc: 0.765625] [adversarial loss: 0.854657, acc: 0.484375] 3792: [discriminator loss: 0.572627, acc: 0.695312] [adversarial loss: 1.796655, acc: 0.046875] 3793: [discriminator loss: 0.477619, acc: 0.734375] [adversarial loss: 0.787220, acc: 0.500000] 3794: [discriminator loss: 0.610589, acc: 0.710938] [adversarial loss: 1.583378, acc: 0.125000] 3795: [discriminator loss: 0.556723, acc: 0.757812] [adversarial loss: 0.855651, acc: 0.359375] 3796: [discriminator loss: 0.673992, acc: 0.648438] [adversarial loss: 1.819364, acc: 0.062500] 3797: [discriminator loss: 0.586501, acc: 0.695312] [adversarial loss: 0.935195, acc: 0.312500] 3798: [discriminator loss: 0.492533, acc: 0.757812] [adversarial loss: 1.368535, acc: 0.171875] 3799: [discriminator loss: 0.526909, acc: 0.742188] [adversarial loss: 1.225191, acc: 0.281250] 3800: [discriminator loss: 0.440648, acc: 0.804688] [adversarial loss: 1.526600, acc: 0.140625] 3801: [discriminator loss: 0.543815, acc: 0.718750] [adversarial loss: 1.364949, acc: 0.125000] 3802: [discriminator loss: 0.474865, acc: 0.757812] [adversarial loss: 0.986760, acc: 0.343750] 3803: [discriminator loss: 0.548141, acc: 0.726562] [adversarial loss: 1.372669, acc: 0.187500] 3804: [discriminator loss: 0.606397, acc: 0.703125] [adversarial loss: 1.067564, acc: 0.218750] 3805: [discriminator loss: 0.492734, acc: 0.757812] [adversarial loss: 1.268603, acc: 0.234375] 3806: [discriminator loss: 0.495441, acc: 0.773438] [adversarial loss: 1.261926, acc: 0.203125] 3807: [discriminator loss: 0.502421, acc: 0.750000] [adversarial loss: 1.205222, acc: 0.281250] 3808: [discriminator loss: 0.500650, acc: 0.765625] [adversarial loss: 1.035066, acc: 0.343750] 3809: [discriminator loss: 0.519905, acc: 0.796875] [adversarial loss: 1.356328, acc: 0.171875] 3810: [discriminator loss: 0.507158, acc: 0.750000] [adversarial loss: 0.931641, acc: 0.406250] 3811: [discriminator loss: 0.479849, acc: 0.773438] [adversarial loss: 1.706834, acc: 0.109375] 3812: [discriminator loss: 0.637776, acc: 0.648438] [adversarial loss: 0.761827, acc: 0.453125] 3813: [discriminator loss: 0.536340, acc: 0.718750] [adversarial loss: 1.588603, acc: 0.062500] 3814: [discriminator loss: 0.562546, acc: 0.710938] [adversarial loss: 0.968557, acc: 0.359375] 3815: [discriminator loss: 0.569571, acc: 0.750000] [adversarial loss: 1.517415, acc: 0.062500] 3816: [discriminator loss: 0.503011, acc: 0.773438] [adversarial loss: 1.081040, acc: 0.265625] 3817: [discriminator loss: 0.524024, acc: 0.750000] [adversarial loss: 1.808050, acc: 0.015625] 3818: [discriminator loss: 0.597223, acc: 0.656250] [adversarial loss: 0.843430, acc: 0.437500] 3819: [discriminator loss: 0.581604, acc: 0.718750] [adversarial loss: 1.317689, acc: 0.203125] 3820: [discriminator loss: 0.522436, acc: 0.828125] [adversarial loss: 1.312403, acc: 0.171875] 3821: [discriminator loss: 0.512075, acc: 0.750000] [adversarial loss: 1.080427, acc: 0.312500] 3822: [discriminator loss: 0.470003, acc: 0.773438] [adversarial loss: 1.483011, acc: 0.078125] 3823: [discriminator loss: 0.508869, acc: 0.726562] [adversarial loss: 0.991346, acc: 0.343750] 3824: [discriminator loss: 0.534021, acc: 0.710938] [adversarial loss: 1.415904, acc: 0.125000] 3825: [discriminator loss: 0.580968, acc: 0.703125] [adversarial loss: 1.301842, acc: 0.156250] 3826: [discriminator loss: 0.537190, acc: 0.726562] [adversarial loss: 1.020018, acc: 0.281250] 3827: [discriminator loss: 0.554129, acc: 0.734375] [adversarial loss: 1.310899, acc: 0.218750] 3828: [discriminator loss: 0.522087, acc: 0.789062] [adversarial loss: 1.154242, acc: 0.296875] 3829: [discriminator loss: 0.510073, acc: 0.742188] [adversarial loss: 1.188607, acc: 0.203125] 3830: [discriminator loss: 0.550679, acc: 0.726562] [adversarial loss: 1.384473, acc: 0.171875] 3831: [discriminator loss: 0.520484, acc: 0.757812] [adversarial loss: 0.954708, acc: 0.359375] 3832: [discriminator loss: 0.597745, acc: 0.664062] [adversarial loss: 1.780395, acc: 0.031250] 3833: [discriminator loss: 0.612563, acc: 0.687500] [adversarial loss: 0.881708, acc: 0.343750] 3834: [discriminator loss: 0.563475, acc: 0.664062] [adversarial loss: 1.394625, acc: 0.109375] 3835: [discriminator loss: 0.516600, acc: 0.757812] [adversarial loss: 1.268406, acc: 0.156250] 3836: [discriminator loss: 0.508174, acc: 0.765625] [adversarial loss: 1.165658, acc: 0.250000] 3837: [discriminator loss: 0.529475, acc: 0.726562] [adversarial loss: 0.959070, acc: 0.359375] 3838: [discriminator loss: 0.552846, acc: 0.710938] [adversarial loss: 1.176022, acc: 0.125000] 3839: [discriminator loss: 0.514213, acc: 0.750000] [adversarial loss: 1.319890, acc: 0.156250] 3840: [discriminator loss: 0.579328, acc: 0.718750] [adversarial loss: 1.161426, acc: 0.218750] 3841: [discriminator loss: 0.595880, acc: 0.726562] [adversarial loss: 1.017053, acc: 0.281250] 3842: [discriminator loss: 0.467852, acc: 0.835938] [adversarial loss: 1.158709, acc: 0.250000] 3843: [discriminator loss: 0.503687, acc: 0.734375] [adversarial loss: 1.328557, acc: 0.218750] 3844: [discriminator loss: 0.541348, acc: 0.687500] [adversarial loss: 1.217981, acc: 0.250000] 3845: [discriminator loss: 0.501422, acc: 0.734375] [adversarial loss: 1.457323, acc: 0.109375] 3846: [discriminator loss: 0.500606, acc: 0.757812] [adversarial loss: 1.223549, acc: 0.250000] 3847: [discriminator loss: 0.549408, acc: 0.773438] [adversarial loss: 1.213064, acc: 0.250000] 3848: [discriminator loss: 0.560836, acc: 0.695312] [adversarial loss: 1.272216, acc: 0.250000] 3849: [discriminator loss: 0.538333, acc: 0.734375] [adversarial loss: 1.235902, acc: 0.265625] 3850: [discriminator loss: 0.535513, acc: 0.710938] [adversarial loss: 1.540939, acc: 0.140625] 3851: [discriminator loss: 0.540876, acc: 0.726562] [adversarial loss: 1.307616, acc: 0.109375] 3852: [discriminator loss: 0.496796, acc: 0.750000] [adversarial loss: 1.172598, acc: 0.218750] 3853: [discriminator loss: 0.547185, acc: 0.703125] [adversarial loss: 1.301393, acc: 0.187500] 3854: [discriminator loss: 0.482103, acc: 0.781250] [adversarial loss: 1.034242, acc: 0.343750] 3855: [discriminator loss: 0.605140, acc: 0.687500] [adversarial loss: 1.488002, acc: 0.156250] 3856: [discriminator loss: 0.605755, acc: 0.664062] [adversarial loss: 1.189387, acc: 0.203125] 3857: [discriminator loss: 0.474804, acc: 0.796875] [adversarial loss: 1.316794, acc: 0.250000] 3858: [discriminator loss: 0.570166, acc: 0.703125] [adversarial loss: 1.013402, acc: 0.265625] 3859: [discriminator loss: 0.493045, acc: 0.742188] [adversarial loss: 1.240340, acc: 0.218750] 3860: [discriminator loss: 0.543334, acc: 0.757812] [adversarial loss: 1.174198, acc: 0.218750] 3861: [discriminator loss: 0.485986, acc: 0.789062] [adversarial loss: 1.447021, acc: 0.156250] 3862: [discriminator loss: 0.534626, acc: 0.726562] [adversarial loss: 1.220195, acc: 0.156250] 3863: [discriminator loss: 0.597064, acc: 0.687500] [adversarial loss: 1.571280, acc: 0.125000] 3864: [discriminator loss: 0.506443, acc: 0.726562] [adversarial loss: 0.935083, acc: 0.390625] 3865: [discriminator loss: 0.464550, acc: 0.820312] [adversarial loss: 1.493426, acc: 0.171875] 3866: [discriminator loss: 0.537868, acc: 0.718750] [adversarial loss: 0.849189, acc: 0.515625] 3867: [discriminator loss: 0.602778, acc: 0.687500] [adversarial loss: 1.942533, acc: 0.078125] 3868: [discriminator loss: 0.616461, acc: 0.664062] [adversarial loss: 0.895829, acc: 0.375000] 3869: [discriminator loss: 0.527427, acc: 0.726562] [adversarial loss: 1.483510, acc: 0.125000] 3870: [discriminator loss: 0.517673, acc: 0.710938] [adversarial loss: 1.189042, acc: 0.234375] 3871: [discriminator loss: 0.596450, acc: 0.710938] [adversarial loss: 1.134685, acc: 0.296875] 3872: [discriminator loss: 0.577374, acc: 0.671875] [adversarial loss: 1.146906, acc: 0.234375] 3873: [discriminator loss: 0.459158, acc: 0.781250] [adversarial loss: 1.427691, acc: 0.109375] 3874: [discriminator loss: 0.475087, acc: 0.789062] [adversarial loss: 1.361521, acc: 0.234375] 3875: [discriminator loss: 0.593893, acc: 0.695312] [adversarial loss: 1.051761, acc: 0.343750] 3876: [discriminator loss: 0.519292, acc: 0.718750] [adversarial loss: 1.299564, acc: 0.234375] 3877: [discriminator loss: 0.522804, acc: 0.703125] [adversarial loss: 1.065921, acc: 0.265625] 3878: [discriminator loss: 0.505483, acc: 0.781250] [adversarial loss: 1.377803, acc: 0.250000] 3879: [discriminator loss: 0.551082, acc: 0.726562] [adversarial loss: 1.020146, acc: 0.296875] 3880: [discriminator loss: 0.502666, acc: 0.750000] [adversarial loss: 1.619286, acc: 0.109375] 3881: [discriminator loss: 0.539458, acc: 0.718750] [adversarial loss: 0.773920, acc: 0.562500] 3882: [discriminator loss: 0.640239, acc: 0.648438] [adversarial loss: 1.661640, acc: 0.125000] 3883: [discriminator loss: 0.543075, acc: 0.757812] [adversarial loss: 0.964336, acc: 0.328125] 3884: [discriminator loss: 0.561580, acc: 0.703125] [adversarial loss: 1.438429, acc: 0.062500] 3885: [discriminator loss: 0.609034, acc: 0.664062] [adversarial loss: 0.937192, acc: 0.359375] 3886: [discriminator loss: 0.563919, acc: 0.703125] [adversarial loss: 1.190179, acc: 0.187500] 3887: [discriminator loss: 0.451056, acc: 0.828125] [adversarial loss: 1.388571, acc: 0.187500] 3888: [discriminator loss: 0.526661, acc: 0.726562] [adversarial loss: 1.205409, acc: 0.203125] 3889: [discriminator loss: 0.518436, acc: 0.718750] [adversarial loss: 1.103511, acc: 0.312500] 3890: [discriminator loss: 0.564371, acc: 0.703125] [adversarial loss: 1.325756, acc: 0.109375] 3891: [discriminator loss: 0.511559, acc: 0.757812] [adversarial loss: 0.995581, acc: 0.343750] 3892: [discriminator loss: 0.611845, acc: 0.664062] [adversarial loss: 1.180299, acc: 0.187500] 3893: [discriminator loss: 0.584228, acc: 0.695312] [adversarial loss: 1.177819, acc: 0.234375] 3894: [discriminator loss: 0.502480, acc: 0.734375] [adversarial loss: 1.140069, acc: 0.187500] 3895: [discriminator loss: 0.516608, acc: 0.710938] [adversarial loss: 1.437965, acc: 0.140625] 3896: [discriminator loss: 0.561720, acc: 0.718750] [adversarial loss: 0.958752, acc: 0.328125] 3897: [discriminator loss: 0.484958, acc: 0.773438] [adversarial loss: 1.478769, acc: 0.078125] 3898: [discriminator loss: 0.566619, acc: 0.718750] [adversarial loss: 0.925988, acc: 0.406250] 3899: [discriminator loss: 0.555801, acc: 0.695312] [adversarial loss: 1.236089, acc: 0.156250] 3900: [discriminator loss: 0.537409, acc: 0.734375] [adversarial loss: 1.084134, acc: 0.234375] 3901: [discriminator loss: 0.481350, acc: 0.765625] [adversarial loss: 1.193403, acc: 0.203125] 3902: [discriminator loss: 0.549883, acc: 0.703125] [adversarial loss: 1.033117, acc: 0.312500] 3903: [discriminator loss: 0.530509, acc: 0.757812] [adversarial loss: 1.549408, acc: 0.062500] 3904: [discriminator loss: 0.477268, acc: 0.773438] [adversarial loss: 1.029175, acc: 0.250000] 3905: [discriminator loss: 0.523709, acc: 0.742188] [adversarial loss: 1.342638, acc: 0.203125] 3906: [discriminator loss: 0.498996, acc: 0.781250] [adversarial loss: 1.131139, acc: 0.265625] 3907: [discriminator loss: 0.523882, acc: 0.718750] [adversarial loss: 1.210885, acc: 0.156250] 3908: [discriminator loss: 0.568435, acc: 0.687500] [adversarial loss: 0.969244, acc: 0.359375] 3909: [discriminator loss: 0.563885, acc: 0.679688] [adversarial loss: 1.575008, acc: 0.125000] 3910: [discriminator loss: 0.586806, acc: 0.710938] [adversarial loss: 0.717527, acc: 0.562500] 3911: [discriminator loss: 0.530826, acc: 0.726562] [adversarial loss: 1.851035, acc: 0.015625] 3912: [discriminator loss: 0.618327, acc: 0.679688] [adversarial loss: 0.893762, acc: 0.437500] 3913: [discriminator loss: 0.526384, acc: 0.710938] [adversarial loss: 1.443396, acc: 0.109375] 3914: [discriminator loss: 0.564869, acc: 0.734375] [adversarial loss: 1.068938, acc: 0.296875] 3915: [discriminator loss: 0.627949, acc: 0.710938] [adversarial loss: 1.319973, acc: 0.140625] 3916: [discriminator loss: 0.560453, acc: 0.648438] [adversarial loss: 0.968105, acc: 0.359375] 3917: [discriminator loss: 0.551771, acc: 0.726562] [adversarial loss: 1.319896, acc: 0.187500] 3918: [discriminator loss: 0.545425, acc: 0.679688] [adversarial loss: 0.995630, acc: 0.234375] 3919: [discriminator loss: 0.509497, acc: 0.757812] [adversarial loss: 1.385627, acc: 0.140625] 3920: [discriminator loss: 0.517193, acc: 0.773438] [adversarial loss: 0.831365, acc: 0.500000] 3921: [discriminator loss: 0.514276, acc: 0.742188] [adversarial loss: 1.236997, acc: 0.203125] 3922: [discriminator loss: 0.514964, acc: 0.734375] [adversarial loss: 1.215500, acc: 0.218750] 3923: [discriminator loss: 0.536572, acc: 0.656250] [adversarial loss: 1.321529, acc: 0.203125] 3924: [discriminator loss: 0.607895, acc: 0.664062] [adversarial loss: 1.063939, acc: 0.312500] 3925: [discriminator loss: 0.545894, acc: 0.726562] [adversarial loss: 1.543030, acc: 0.062500] 3926: [discriminator loss: 0.534144, acc: 0.765625] [adversarial loss: 1.402863, acc: 0.140625] 3927: [discriminator loss: 0.501978, acc: 0.742188] [adversarial loss: 1.114390, acc: 0.250000] 3928: [discriminator loss: 0.534808, acc: 0.703125] [adversarial loss: 0.969175, acc: 0.390625] 3929: [discriminator loss: 0.566632, acc: 0.695312] [adversarial loss: 1.468361, acc: 0.046875] 3930: [discriminator loss: 0.433905, acc: 0.773438] [adversarial loss: 1.103755, acc: 0.250000] 3931: [discriminator loss: 0.514066, acc: 0.742188] [adversarial loss: 1.137360, acc: 0.250000] 3932: [discriminator loss: 0.531711, acc: 0.757812] [adversarial loss: 0.978748, acc: 0.359375] 3933: [discriminator loss: 0.502523, acc: 0.726562] [adversarial loss: 1.505155, acc: 0.125000] 3934: [discriminator loss: 0.530855, acc: 0.734375] [adversarial loss: 1.084190, acc: 0.265625] 3935: [discriminator loss: 0.536484, acc: 0.765625] [adversarial loss: 1.565317, acc: 0.125000] 3936: [discriminator loss: 0.549280, acc: 0.710938] [adversarial loss: 0.976861, acc: 0.312500] 3937: [discriminator loss: 0.530759, acc: 0.757812] [adversarial loss: 1.342306, acc: 0.156250] 3938: [discriminator loss: 0.608628, acc: 0.687500] [adversarial loss: 1.213802, acc: 0.187500] 3939: [discriminator loss: 0.507108, acc: 0.742188] [adversarial loss: 1.145875, acc: 0.265625] 3940: [discriminator loss: 0.582514, acc: 0.695312] [adversarial loss: 1.289797, acc: 0.234375] 3941: [discriminator loss: 0.589032, acc: 0.679688] [adversarial loss: 1.162433, acc: 0.171875] 3942: [discriminator loss: 0.579384, acc: 0.656250] [adversarial loss: 1.262969, acc: 0.218750] 3943: [discriminator loss: 0.527199, acc: 0.703125] [adversarial loss: 1.461705, acc: 0.093750] 3944: [discriminator loss: 0.506699, acc: 0.781250] [adversarial loss: 1.010522, acc: 0.234375] 3945: [discriminator loss: 0.538118, acc: 0.734375] [adversarial loss: 1.260112, acc: 0.203125] 3946: [discriminator loss: 0.515491, acc: 0.750000] [adversarial loss: 1.377929, acc: 0.187500] 3947: [discriminator loss: 0.504433, acc: 0.765625] [adversarial loss: 1.468327, acc: 0.171875] 3948: [discriminator loss: 0.505185, acc: 0.742188] [adversarial loss: 1.003527, acc: 0.296875] 3949: [discriminator loss: 0.504068, acc: 0.765625] [adversarial loss: 1.354348, acc: 0.156250] 3950: [discriminator loss: 0.509389, acc: 0.726562] [adversarial loss: 1.099760, acc: 0.234375] 3951: [discriminator loss: 0.544989, acc: 0.687500] [adversarial loss: 1.474854, acc: 0.125000] 3952: [discriminator loss: 0.520691, acc: 0.710938] [adversarial loss: 1.069137, acc: 0.296875] 3953: [discriminator loss: 0.549151, acc: 0.718750] [adversarial loss: 1.333464, acc: 0.187500] 3954: [discriminator loss: 0.518869, acc: 0.734375] [adversarial loss: 1.306937, acc: 0.218750] 3955: [discriminator loss: 0.516442, acc: 0.750000] [adversarial loss: 0.798702, acc: 0.500000] 3956: [discriminator loss: 0.513689, acc: 0.757812] [adversarial loss: 1.670176, acc: 0.078125] 3957: [discriminator loss: 0.522227, acc: 0.765625] [adversarial loss: 0.923397, acc: 0.359375] 3958: [discriminator loss: 0.497332, acc: 0.742188] [adversarial loss: 1.458732, acc: 0.109375] 3959: [discriminator loss: 0.459925, acc: 0.804688] [adversarial loss: 1.107901, acc: 0.296875] 3960: [discriminator loss: 0.581820, acc: 0.664062] [adversarial loss: 1.178198, acc: 0.203125] 3961: [discriminator loss: 0.565838, acc: 0.695312] [adversarial loss: 1.545186, acc: 0.062500] 3962: [discriminator loss: 0.587491, acc: 0.664062] [adversarial loss: 1.026026, acc: 0.359375] 3963: [discriminator loss: 0.608193, acc: 0.609375] [adversarial loss: 1.450912, acc: 0.171875] 3964: [discriminator loss: 0.561839, acc: 0.726562] [adversarial loss: 0.977021, acc: 0.359375] 3965: [discriminator loss: 0.534080, acc: 0.710938] [adversarial loss: 1.521377, acc: 0.171875] 3966: [discriminator loss: 0.460920, acc: 0.789062] [adversarial loss: 1.360337, acc: 0.078125] 3967: [discriminator loss: 0.482358, acc: 0.781250] [adversarial loss: 0.936199, acc: 0.296875] 3968: [discriminator loss: 0.541180, acc: 0.742188] [adversarial loss: 1.431635, acc: 0.125000] 3969: [discriminator loss: 0.570813, acc: 0.695312] [adversarial loss: 1.292411, acc: 0.156250] 3970: [discriminator loss: 0.538288, acc: 0.726562] [adversarial loss: 1.306264, acc: 0.125000] 3971: [discriminator loss: 0.569201, acc: 0.679688] [adversarial loss: 1.224639, acc: 0.218750] 3972: [discriminator loss: 0.512169, acc: 0.703125] [adversarial loss: 1.215968, acc: 0.218750] 3973: [discriminator loss: 0.514210, acc: 0.773438] [adversarial loss: 1.637273, acc: 0.062500] 3974: [discriminator loss: 0.552961, acc: 0.718750] [adversarial loss: 0.665572, acc: 0.609375] 3975: [discriminator loss: 0.570375, acc: 0.679688] [adversarial loss: 1.582971, acc: 0.109375] 3976: [discriminator loss: 0.536644, acc: 0.695312] [adversarial loss: 0.830619, acc: 0.375000] 3977: [discriminator loss: 0.549785, acc: 0.734375] [adversarial loss: 1.256527, acc: 0.234375] 3978: [discriminator loss: 0.515235, acc: 0.742188] [adversarial loss: 1.316328, acc: 0.156250] 3979: [discriminator loss: 0.565489, acc: 0.679688] [adversarial loss: 1.368997, acc: 0.093750] 3980: [discriminator loss: 0.601674, acc: 0.671875] [adversarial loss: 1.007266, acc: 0.312500] 3981: [discriminator loss: 0.556383, acc: 0.734375] [adversarial loss: 1.315647, acc: 0.125000] 3982: [discriminator loss: 0.626392, acc: 0.679688] [adversarial loss: 1.246032, acc: 0.218750] 3983: [discriminator loss: 0.509523, acc: 0.773438] [adversarial loss: 1.206096, acc: 0.187500] 3984: [discriminator loss: 0.514098, acc: 0.773438] [adversarial loss: 1.103478, acc: 0.234375] 3985: [discriminator loss: 0.537562, acc: 0.703125] [adversarial loss: 1.030015, acc: 0.359375] 3986: [discriminator loss: 0.587975, acc: 0.625000] [adversarial loss: 1.321411, acc: 0.171875] 3987: [discriminator loss: 0.570409, acc: 0.664062] [adversarial loss: 0.900231, acc: 0.390625] 3988: [discriminator loss: 0.566125, acc: 0.710938] [adversarial loss: 1.236876, acc: 0.125000] 3989: [discriminator loss: 0.465146, acc: 0.781250] [adversarial loss: 0.956843, acc: 0.406250] 3990: [discriminator loss: 0.510107, acc: 0.750000] [adversarial loss: 1.545520, acc: 0.109375] 3991: [discriminator loss: 0.534237, acc: 0.718750] [adversarial loss: 0.850991, acc: 0.421875] 3992: [discriminator loss: 0.537841, acc: 0.750000] [adversarial loss: 1.521203, acc: 0.156250] 3993: [discriminator loss: 0.590699, acc: 0.671875] [adversarial loss: 0.707425, acc: 0.640625] 3994: [discriminator loss: 0.640485, acc: 0.671875] [adversarial loss: 1.859519, acc: 0.031250] 3995: [discriminator loss: 0.554128, acc: 0.687500] [adversarial loss: 1.106063, acc: 0.296875] 3996: [discriminator loss: 0.568887, acc: 0.726562] [adversarial loss: 1.323638, acc: 0.187500] 3997: [discriminator loss: 0.555348, acc: 0.750000] [adversarial loss: 1.202118, acc: 0.218750] 3998: [discriminator loss: 0.539496, acc: 0.695312] [adversarial loss: 1.219455, acc: 0.187500] 3999: [discriminator loss: 0.427821, acc: 0.781250] [adversarial loss: 1.347889, acc: 0.156250] 4000: [discriminator loss: 0.519437, acc: 0.789062] [adversarial loss: 1.036369, acc: 0.281250] 4001: [discriminator loss: 0.526651, acc: 0.726562] [adversarial loss: 1.663492, acc: 0.062500] 4002: [discriminator loss: 0.635545, acc: 0.671875] [adversarial loss: 0.853902, acc: 0.421875] 4003: [discriminator loss: 0.614764, acc: 0.632812] [adversarial loss: 1.478566, acc: 0.125000] 4004: [discriminator loss: 0.492426, acc: 0.750000] [adversarial loss: 1.139459, acc: 0.203125] 4005: [discriminator loss: 0.589748, acc: 0.664062] [adversarial loss: 1.468560, acc: 0.140625] 4006: [discriminator loss: 0.496541, acc: 0.742188] [adversarial loss: 1.122201, acc: 0.281250] 4007: [discriminator loss: 0.482681, acc: 0.726562] [adversarial loss: 1.590958, acc: 0.156250] 4008: [discriminator loss: 0.589548, acc: 0.656250] [adversarial loss: 0.830266, acc: 0.453125] 4009: [discriminator loss: 0.514951, acc: 0.734375] [adversarial loss: 1.601898, acc: 0.125000] 4010: [discriminator loss: 0.517079, acc: 0.742188] [adversarial loss: 1.003063, acc: 0.296875] 4011: [discriminator loss: 0.544221, acc: 0.710938] [adversarial loss: 1.285778, acc: 0.281250] 4012: [discriminator loss: 0.550565, acc: 0.734375] [adversarial loss: 1.197961, acc: 0.265625] 4013: [discriminator loss: 0.477229, acc: 0.796875] [adversarial loss: 1.103344, acc: 0.203125] 4014: [discriminator loss: 0.545501, acc: 0.718750] [adversarial loss: 1.305520, acc: 0.156250] 4015: [discriminator loss: 0.606645, acc: 0.640625] [adversarial loss: 0.974996, acc: 0.375000] 4016: [discriminator loss: 0.541046, acc: 0.773438] [adversarial loss: 1.218923, acc: 0.343750] 4017: [discriminator loss: 0.579641, acc: 0.695312] [adversarial loss: 1.035259, acc: 0.343750] 4018: [discriminator loss: 0.554464, acc: 0.703125] [adversarial loss: 1.473280, acc: 0.125000] 4019: [discriminator loss: 0.579645, acc: 0.679688] [adversarial loss: 0.979696, acc: 0.421875] 4020: [discriminator loss: 0.511881, acc: 0.765625] [adversarial loss: 1.519740, acc: 0.078125] 4021: [discriminator loss: 0.487678, acc: 0.789062] [adversarial loss: 0.914918, acc: 0.359375] 4022: [discriminator loss: 0.568556, acc: 0.710938] [adversarial loss: 1.278495, acc: 0.187500] 4023: [discriminator loss: 0.522416, acc: 0.789062] [adversarial loss: 1.294979, acc: 0.265625] 4024: [discriminator loss: 0.594166, acc: 0.679688] [adversarial loss: 1.624610, acc: 0.062500] 4025: [discriminator loss: 0.602951, acc: 0.640625] [adversarial loss: 0.800460, acc: 0.531250] 4026: [discriminator loss: 0.616721, acc: 0.703125] [adversarial loss: 1.550983, acc: 0.093750] 4027: [discriminator loss: 0.564681, acc: 0.718750] [adversarial loss: 1.249431, acc: 0.125000] 4028: [discriminator loss: 0.545453, acc: 0.757812] [adversarial loss: 1.257159, acc: 0.171875] 4029: [discriminator loss: 0.501932, acc: 0.710938] [adversarial loss: 1.318725, acc: 0.171875] 4030: [discriminator loss: 0.528296, acc: 0.710938] [adversarial loss: 0.931992, acc: 0.468750] 4031: [discriminator loss: 0.568730, acc: 0.726562] [adversarial loss: 1.472657, acc: 0.203125] 4032: [discriminator loss: 0.530650, acc: 0.726562] [adversarial loss: 0.821022, acc: 0.484375] 4033: [discriminator loss: 0.494734, acc: 0.812500] [adversarial loss: 1.323253, acc: 0.109375] 4034: [discriminator loss: 0.541234, acc: 0.750000] [adversarial loss: 0.948170, acc: 0.328125] 4035: [discriminator loss: 0.509909, acc: 0.757812] [adversarial loss: 1.292085, acc: 0.187500] 4036: [discriminator loss: 0.548826, acc: 0.750000] [adversarial loss: 1.045787, acc: 0.359375] 4037: [discriminator loss: 0.569633, acc: 0.656250] [adversarial loss: 1.426030, acc: 0.156250] 4038: [discriminator loss: 0.513811, acc: 0.687500] [adversarial loss: 1.130064, acc: 0.218750] 4039: [discriminator loss: 0.473142, acc: 0.804688] [adversarial loss: 1.287355, acc: 0.140625] 4040: [discriminator loss: 0.600372, acc: 0.656250] [adversarial loss: 1.024896, acc: 0.312500] 4041: [discriminator loss: 0.523300, acc: 0.742188] [adversarial loss: 1.401232, acc: 0.203125] 4042: [discriminator loss: 0.552453, acc: 0.671875] [adversarial loss: 1.104391, acc: 0.250000] 4043: [discriminator loss: 0.636945, acc: 0.648438] [adversarial loss: 1.127048, acc: 0.250000] 4044: [discriminator loss: 0.503121, acc: 0.796875] [adversarial loss: 1.217281, acc: 0.218750] 4045: [discriminator loss: 0.457740, acc: 0.812500] [adversarial loss: 0.972916, acc: 0.437500] 4046: [discriminator loss: 0.523173, acc: 0.726562] [adversarial loss: 1.673605, acc: 0.062500] 4047: [discriminator loss: 0.603485, acc: 0.695312] [adversarial loss: 1.049048, acc: 0.328125] 4048: [discriminator loss: 0.627544, acc: 0.664062] [adversarial loss: 1.641415, acc: 0.093750] 4049: [discriminator loss: 0.586086, acc: 0.734375] [adversarial loss: 1.010199, acc: 0.312500] 4050: [discriminator loss: 0.547255, acc: 0.765625] [adversarial loss: 1.258528, acc: 0.234375] 4051: [discriminator loss: 0.608007, acc: 0.671875] [adversarial loss: 1.164785, acc: 0.234375] 4052: [discriminator loss: 0.489971, acc: 0.734375] [adversarial loss: 1.016272, acc: 0.328125] 4053: [discriminator loss: 0.478392, acc: 0.742188] [adversarial loss: 1.407932, acc: 0.140625] 4054: [discriminator loss: 0.528559, acc: 0.742188] [adversarial loss: 1.166600, acc: 0.171875] 4055: [discriminator loss: 0.473726, acc: 0.804688] [adversarial loss: 1.339700, acc: 0.203125] 4056: [discriminator loss: 0.516044, acc: 0.726562] [adversarial loss: 1.235036, acc: 0.265625] 4057: [discriminator loss: 0.540310, acc: 0.703125] [adversarial loss: 0.896749, acc: 0.437500] 4058: [discriminator loss: 0.506876, acc: 0.765625] [adversarial loss: 1.542533, acc: 0.078125] 4059: [discriminator loss: 0.576760, acc: 0.718750] [adversarial loss: 0.926640, acc: 0.390625] 4060: [discriminator loss: 0.568844, acc: 0.687500] [adversarial loss: 1.697723, acc: 0.078125] 4061: [discriminator loss: 0.487602, acc: 0.796875] [adversarial loss: 1.084672, acc: 0.218750] 4062: [discriminator loss: 0.516747, acc: 0.773438] [adversarial loss: 1.540213, acc: 0.109375] 4063: [discriminator loss: 0.528797, acc: 0.695312] [adversarial loss: 0.892700, acc: 0.203125] 4064: [discriminator loss: 0.637067, acc: 0.718750] [adversarial loss: 1.711573, acc: 0.062500] 4065: [discriminator loss: 0.528657, acc: 0.742188] [adversarial loss: 1.048818, acc: 0.312500] 4066: [discriminator loss: 0.520246, acc: 0.750000] [adversarial loss: 1.369293, acc: 0.109375] 4067: [discriminator loss: 0.558986, acc: 0.710938] [adversarial loss: 0.915431, acc: 0.390625] 4068: [discriminator loss: 0.575954, acc: 0.726562] [adversarial loss: 1.501769, acc: 0.109375] 4069: [discriminator loss: 0.531489, acc: 0.687500] [adversarial loss: 1.043178, acc: 0.328125] 4070: [discriminator loss: 0.528029, acc: 0.796875] [adversarial loss: 1.201316, acc: 0.218750] 4071: [discriminator loss: 0.470948, acc: 0.773438] [adversarial loss: 1.202129, acc: 0.218750] 4072: [discriminator loss: 0.434355, acc: 0.796875] [adversarial loss: 1.284780, acc: 0.265625] 4073: [discriminator loss: 0.492781, acc: 0.742188] [adversarial loss: 1.094940, acc: 0.296875] 4074: [discriminator loss: 0.490048, acc: 0.773438] [adversarial loss: 1.624367, acc: 0.062500] 4075: [discriminator loss: 0.545009, acc: 0.734375] [adversarial loss: 1.012387, acc: 0.328125] 4076: [discriminator loss: 0.542528, acc: 0.703125] [adversarial loss: 1.485359, acc: 0.171875] 4077: [discriminator loss: 0.514076, acc: 0.742188] [adversarial loss: 1.177818, acc: 0.312500] 4078: [discriminator loss: 0.557289, acc: 0.710938] [adversarial loss: 1.383902, acc: 0.203125] 4079: [discriminator loss: 0.477806, acc: 0.789062] [adversarial loss: 0.998158, acc: 0.312500] 4080: [discriminator loss: 0.508088, acc: 0.757812] [adversarial loss: 1.512448, acc: 0.140625] 4081: [discriminator loss: 0.513308, acc: 0.703125] [adversarial loss: 0.933922, acc: 0.421875] 4082: [discriminator loss: 0.569109, acc: 0.687500] [adversarial loss: 1.500409, acc: 0.078125] 4083: [discriminator loss: 0.556777, acc: 0.726562] [adversarial loss: 1.151281, acc: 0.250000] 4084: [discriminator loss: 0.539309, acc: 0.703125] [adversarial loss: 1.581702, acc: 0.093750] 4085: [discriminator loss: 0.542082, acc: 0.703125] [adversarial loss: 0.969842, acc: 0.343750] 4086: [discriminator loss: 0.519499, acc: 0.765625] [adversarial loss: 1.253493, acc: 0.187500] 4087: [discriminator loss: 0.513888, acc: 0.710938] [adversarial loss: 0.997242, acc: 0.437500] 4088: [discriminator loss: 0.582419, acc: 0.687500] [adversarial loss: 1.670267, acc: 0.046875] 4089: [discriminator loss: 0.606343, acc: 0.695312] [adversarial loss: 0.896965, acc: 0.375000] 4090: [discriminator loss: 0.544156, acc: 0.710938] [adversarial loss: 1.328267, acc: 0.250000] 4091: [discriminator loss: 0.488365, acc: 0.757812] [adversarial loss: 1.143413, acc: 0.218750] 4092: [discriminator loss: 0.585357, acc: 0.648438] [adversarial loss: 1.227694, acc: 0.265625] 4093: [discriminator loss: 0.548300, acc: 0.687500] [adversarial loss: 1.338285, acc: 0.156250] 4094: [discriminator loss: 0.666794, acc: 0.625000] [adversarial loss: 1.674059, acc: 0.093750] 4095: [discriminator loss: 0.586803, acc: 0.710938] [adversarial loss: 0.927721, acc: 0.406250] 4096: [discriminator loss: 0.557462, acc: 0.718750] [adversarial loss: 1.359122, acc: 0.187500] 4097: [discriminator loss: 0.605769, acc: 0.664062] [adversarial loss: 0.899863, acc: 0.406250] 4098: [discriminator loss: 0.580930, acc: 0.664062] [adversarial loss: 1.574474, acc: 0.109375] 4099: [discriminator loss: 0.520226, acc: 0.757812] [adversarial loss: 1.018374, acc: 0.265625] 4100: [discriminator loss: 0.533590, acc: 0.703125] [adversarial loss: 1.227719, acc: 0.250000] 4101: [discriminator loss: 0.610374, acc: 0.695312] [adversarial loss: 0.877359, acc: 0.390625] 4102: [discriminator loss: 0.523720, acc: 0.726562] [adversarial loss: 1.469290, acc: 0.093750] 4103: [discriminator loss: 0.558712, acc: 0.671875] [adversarial loss: 0.985717, acc: 0.406250] 4104: [discriminator loss: 0.586568, acc: 0.632812] [adversarial loss: 1.425356, acc: 0.156250] 4105: [discriminator loss: 0.560665, acc: 0.679688] [adversarial loss: 1.101565, acc: 0.312500] 4106: [discriminator loss: 0.510281, acc: 0.789062] [adversarial loss: 1.105153, acc: 0.187500] 4107: [discriminator loss: 0.535799, acc: 0.703125] [adversarial loss: 1.066794, acc: 0.312500] 4108: [discriminator loss: 0.469619, acc: 0.804688] [adversarial loss: 1.185892, acc: 0.187500] 4109: [discriminator loss: 0.515545, acc: 0.812500] [adversarial loss: 1.023835, acc: 0.406250] 4110: [discriminator loss: 0.559488, acc: 0.726562] [adversarial loss: 1.357044, acc: 0.125000] 4111: [discriminator loss: 0.584212, acc: 0.718750] [adversarial loss: 0.944199, acc: 0.406250] 4112: [discriminator loss: 0.513353, acc: 0.718750] [adversarial loss: 1.322549, acc: 0.234375] 4113: [discriminator loss: 0.560095, acc: 0.710938] [adversarial loss: 0.860733, acc: 0.484375] 4114: [discriminator loss: 0.565315, acc: 0.695312] [adversarial loss: 1.605350, acc: 0.125000] 4115: [discriminator loss: 0.526932, acc: 0.710938] [adversarial loss: 0.771788, acc: 0.500000] 4116: [discriminator loss: 0.652781, acc: 0.632812] [adversarial loss: 1.618779, acc: 0.046875] 4117: [discriminator loss: 0.536952, acc: 0.742188] [adversarial loss: 1.164964, acc: 0.218750] 4118: [discriminator loss: 0.543459, acc: 0.742188] [adversarial loss: 1.236043, acc: 0.187500] 4119: [discriminator loss: 0.521290, acc: 0.773438] [adversarial loss: 1.310231, acc: 0.171875] 4120: [discriminator loss: 0.513910, acc: 0.726562] [adversarial loss: 1.049380, acc: 0.312500] 4121: [discriminator loss: 0.539203, acc: 0.734375] [adversarial loss: 1.229125, acc: 0.203125] 4122: [discriminator loss: 0.551658, acc: 0.710938] [adversarial loss: 1.133228, acc: 0.250000] 4123: [discriminator loss: 0.528273, acc: 0.734375] [adversarial loss: 1.085763, acc: 0.296875] 4124: [discriminator loss: 0.469078, acc: 0.781250] [adversarial loss: 1.638153, acc: 0.046875] 4125: [discriminator loss: 0.603643, acc: 0.671875] [adversarial loss: 1.078773, acc: 0.218750] 4126: [discriminator loss: 0.499159, acc: 0.757812] [adversarial loss: 1.250919, acc: 0.218750] 4127: [discriminator loss: 0.491381, acc: 0.773438] [adversarial loss: 1.161592, acc: 0.156250] 4128: [discriminator loss: 0.527227, acc: 0.710938] [adversarial loss: 1.158361, acc: 0.203125] 4129: [discriminator loss: 0.504862, acc: 0.781250] [adversarial loss: 1.499296, acc: 0.078125] 4130: [discriminator loss: 0.549879, acc: 0.734375] [adversarial loss: 0.963414, acc: 0.343750] 4131: [discriminator loss: 0.509251, acc: 0.750000] [adversarial loss: 1.381266, acc: 0.140625] 4132: [discriminator loss: 0.456340, acc: 0.773438] [adversarial loss: 1.360647, acc: 0.250000] 4133: [discriminator loss: 0.537379, acc: 0.695312] [adversarial loss: 1.352321, acc: 0.187500] 4134: [discriminator loss: 0.476093, acc: 0.773438] [adversarial loss: 1.181190, acc: 0.203125] 4135: [discriminator loss: 0.458255, acc: 0.812500] [adversarial loss: 1.643965, acc: 0.234375] 4136: [discriminator loss: 0.562408, acc: 0.679688] [adversarial loss: 0.799674, acc: 0.453125] 4137: [discriminator loss: 0.583073, acc: 0.742188] [adversarial loss: 1.792901, acc: 0.062500] 4138: [discriminator loss: 0.546755, acc: 0.710938] [adversarial loss: 0.824881, acc: 0.484375] 4139: [discriminator loss: 0.538952, acc: 0.718750] [adversarial loss: 1.265175, acc: 0.125000] 4140: [discriminator loss: 0.494317, acc: 0.757812] [adversarial loss: 1.010747, acc: 0.390625] 4141: [discriminator loss: 0.551977, acc: 0.757812] [adversarial loss: 1.557834, acc: 0.062500] 4142: [discriminator loss: 0.587116, acc: 0.703125] [adversarial loss: 0.728582, acc: 0.578125] 4143: [discriminator loss: 0.538601, acc: 0.757812] [adversarial loss: 1.691778, acc: 0.093750] 4144: [discriminator loss: 0.570174, acc: 0.710938] [adversarial loss: 0.945786, acc: 0.375000] 4145: [discriminator loss: 0.523808, acc: 0.703125] [adversarial loss: 1.599599, acc: 0.187500] 4146: [discriminator loss: 0.523226, acc: 0.765625] [adversarial loss: 1.103776, acc: 0.250000] 4147: [discriminator loss: 0.481107, acc: 0.734375] [adversarial loss: 1.104331, acc: 0.218750] 4148: [discriminator loss: 0.504040, acc: 0.718750] [adversarial loss: 1.144828, acc: 0.281250] 4149: [discriminator loss: 0.498070, acc: 0.789062] [adversarial loss: 1.295427, acc: 0.187500] 4150: [discriminator loss: 0.542341, acc: 0.742188] [adversarial loss: 1.044600, acc: 0.312500] 4151: [discriminator loss: 0.523077, acc: 0.703125] [adversarial loss: 1.055922, acc: 0.265625] 4152: [discriminator loss: 0.562501, acc: 0.726562] [adversarial loss: 1.353793, acc: 0.125000] 4153: [discriminator loss: 0.552692, acc: 0.710938] [adversarial loss: 1.036531, acc: 0.375000] 4154: [discriminator loss: 0.541318, acc: 0.734375] [adversarial loss: 1.317257, acc: 0.187500] 4155: [discriminator loss: 0.532325, acc: 0.726562] [adversarial loss: 1.487104, acc: 0.125000] 4156: [discriminator loss: 0.608976, acc: 0.687500] [adversarial loss: 1.306221, acc: 0.187500] 4157: [discriminator loss: 0.570253, acc: 0.679688] [adversarial loss: 1.085842, acc: 0.234375] 4158: [discriminator loss: 0.573959, acc: 0.710938] [adversarial loss: 1.137261, acc: 0.265625] 4159: [discriminator loss: 0.602002, acc: 0.609375] [adversarial loss: 1.032342, acc: 0.312500] 4160: [discriminator loss: 0.558330, acc: 0.710938] [adversarial loss: 1.556725, acc: 0.078125] 4161: [discriminator loss: 0.611406, acc: 0.687500] [adversarial loss: 1.101947, acc: 0.250000] 4162: [discriminator loss: 0.571590, acc: 0.703125] [adversarial loss: 1.129991, acc: 0.265625] 4163: [discriminator loss: 0.576181, acc: 0.726562] [adversarial loss: 1.253777, acc: 0.187500] 4164: [discriminator loss: 0.486192, acc: 0.773438] [adversarial loss: 1.289613, acc: 0.156250] 4165: [discriminator loss: 0.513756, acc: 0.750000] [adversarial loss: 1.061580, acc: 0.281250] 4166: [discriminator loss: 0.562098, acc: 0.695312] [adversarial loss: 1.295165, acc: 0.125000] 4167: [discriminator loss: 0.552881, acc: 0.679688] [adversarial loss: 0.899861, acc: 0.343750] 4168: [discriminator loss: 0.517356, acc: 0.750000] [adversarial loss: 1.764949, acc: 0.031250] 4169: [discriminator loss: 0.604551, acc: 0.687500] [adversarial loss: 0.692402, acc: 0.609375] 4170: [discriminator loss: 0.579452, acc: 0.687500] [adversarial loss: 1.742757, acc: 0.078125] 4171: [discriminator loss: 0.588138, acc: 0.671875] [adversarial loss: 0.761203, acc: 0.468750] 4172: [discriminator loss: 0.524452, acc: 0.726562] [adversarial loss: 1.438476, acc: 0.171875] 4173: [discriminator loss: 0.559155, acc: 0.687500] [adversarial loss: 0.976204, acc: 0.281250] 4174: [discriminator loss: 0.538595, acc: 0.695312] [adversarial loss: 1.348125, acc: 0.093750] 4175: [discriminator loss: 0.478872, acc: 0.757812] [adversarial loss: 1.050908, acc: 0.296875] 4176: [discriminator loss: 0.460990, acc: 0.789062] [adversarial loss: 1.362289, acc: 0.187500] 4177: [discriminator loss: 0.569148, acc: 0.687500] [adversarial loss: 0.923668, acc: 0.406250] 4178: [discriminator loss: 0.550103, acc: 0.703125] [adversarial loss: 1.382591, acc: 0.156250] 4179: [discriminator loss: 0.543715, acc: 0.671875] [adversarial loss: 1.035118, acc: 0.218750] 4180: [discriminator loss: 0.574108, acc: 0.710938] [adversarial loss: 1.489390, acc: 0.140625] 4181: [discriminator loss: 0.468996, acc: 0.773438] [adversarial loss: 1.263135, acc: 0.140625] 4182: [discriminator loss: 0.546393, acc: 0.718750] [adversarial loss: 1.146672, acc: 0.250000] 4183: [discriminator loss: 0.477627, acc: 0.781250] [adversarial loss: 1.277669, acc: 0.250000] 4184: [discriminator loss: 0.500622, acc: 0.781250] [adversarial loss: 1.159966, acc: 0.187500] 4185: [discriminator loss: 0.518785, acc: 0.710938] [adversarial loss: 1.197124, acc: 0.203125] 4186: [discriminator loss: 0.567572, acc: 0.718750] [adversarial loss: 1.046335, acc: 0.343750] 4187: [discriminator loss: 0.534212, acc: 0.718750] [adversarial loss: 1.204243, acc: 0.156250] 4188: [discriminator loss: 0.453762, acc: 0.796875] [adversarial loss: 0.957789, acc: 0.406250] 4189: [discriminator loss: 0.665142, acc: 0.656250] [adversarial loss: 1.250976, acc: 0.281250] 4190: [discriminator loss: 0.559447, acc: 0.742188] [adversarial loss: 0.994864, acc: 0.296875] 4191: [discriminator loss: 0.525788, acc: 0.710938] [adversarial loss: 1.472265, acc: 0.046875] 4192: [discriminator loss: 0.562047, acc: 0.671875] [adversarial loss: 0.744463, acc: 0.578125] 4193: [discriminator loss: 0.492854, acc: 0.812500] [adversarial loss: 1.288682, acc: 0.171875] 4194: [discriminator loss: 0.475765, acc: 0.742188] [adversarial loss: 1.144905, acc: 0.265625] 4195: [discriminator loss: 0.497305, acc: 0.750000] [adversarial loss: 1.539278, acc: 0.093750] 4196: [discriminator loss: 0.543663, acc: 0.695312] [adversarial loss: 0.940647, acc: 0.421875] 4197: [discriminator loss: 0.539127, acc: 0.765625] [adversarial loss: 1.368180, acc: 0.171875] 4198: [discriminator loss: 0.571491, acc: 0.671875] [adversarial loss: 0.777508, acc: 0.468750] 4199: [discriminator loss: 0.582989, acc: 0.687500] [adversarial loss: 1.408830, acc: 0.078125] 4200: [discriminator loss: 0.593475, acc: 0.687500] [adversarial loss: 0.844074, acc: 0.375000] 4201: [discriminator loss: 0.580678, acc: 0.726562] [adversarial loss: 1.268530, acc: 0.250000] 4202: [discriminator loss: 0.461172, acc: 0.796875] [adversarial loss: 1.282738, acc: 0.218750] 4203: [discriminator loss: 0.508935, acc: 0.718750] [adversarial loss: 1.286675, acc: 0.140625] 4204: [discriminator loss: 0.562804, acc: 0.703125] [adversarial loss: 1.200270, acc: 0.218750] 4205: [discriminator loss: 0.544583, acc: 0.710938] [adversarial loss: 1.264992, acc: 0.156250] 4206: [discriminator loss: 0.437081, acc: 0.773438] [adversarial loss: 1.281330, acc: 0.187500] 4207: [discriminator loss: 0.651988, acc: 0.640625] [adversarial loss: 1.263110, acc: 0.156250] 4208: [discriminator loss: 0.580712, acc: 0.679688] [adversarial loss: 1.013914, acc: 0.234375] 4209: [discriminator loss: 0.612416, acc: 0.656250] [adversarial loss: 1.328657, acc: 0.109375] 4210: [discriminator loss: 0.507442, acc: 0.765625] [adversarial loss: 1.194524, acc: 0.203125] 4211: [discriminator loss: 0.578057, acc: 0.734375] [adversarial loss: 1.218367, acc: 0.250000] 4212: [discriminator loss: 0.552646, acc: 0.703125] [adversarial loss: 1.243787, acc: 0.203125] 4213: [discriminator loss: 0.502865, acc: 0.773438] [adversarial loss: 0.992357, acc: 0.343750] 4214: [discriminator loss: 0.508474, acc: 0.773438] [adversarial loss: 1.222522, acc: 0.203125] 4215: [discriminator loss: 0.511165, acc: 0.765625] [adversarial loss: 1.194041, acc: 0.234375] 4216: [discriminator loss: 0.506687, acc: 0.765625] [adversarial loss: 1.292969, acc: 0.234375] 4217: [discriminator loss: 0.536090, acc: 0.742188] [adversarial loss: 1.021855, acc: 0.312500] 4218: [discriminator loss: 0.573722, acc: 0.664062] [adversarial loss: 1.251923, acc: 0.218750] 4219: [discriminator loss: 0.518675, acc: 0.718750] [adversarial loss: 1.001769, acc: 0.312500] 4220: [discriminator loss: 0.501503, acc: 0.773438] [adversarial loss: 1.335480, acc: 0.203125] 4221: [discriminator loss: 0.582745, acc: 0.710938] [adversarial loss: 0.998391, acc: 0.281250] 4222: [discriminator loss: 0.506346, acc: 0.781250] [adversarial loss: 1.415383, acc: 0.093750] 4223: [discriminator loss: 0.607393, acc: 0.648438] [adversarial loss: 0.949757, acc: 0.406250] 4224: [discriminator loss: 0.467339, acc: 0.796875] [adversarial loss: 1.374267, acc: 0.281250] 4225: [discriminator loss: 0.460047, acc: 0.765625] [adversarial loss: 1.448228, acc: 0.125000] 4226: [discriminator loss: 0.530639, acc: 0.718750] [adversarial loss: 0.892234, acc: 0.453125] 4227: [discriminator loss: 0.522525, acc: 0.695312] [adversarial loss: 1.402400, acc: 0.171875] 4228: [discriminator loss: 0.578509, acc: 0.710938] [adversarial loss: 0.997912, acc: 0.234375] 4229: [discriminator loss: 0.535991, acc: 0.710938] [adversarial loss: 1.535058, acc: 0.093750] 4230: [discriminator loss: 0.507945, acc: 0.742188] [adversarial loss: 1.121027, acc: 0.203125] 4231: [discriminator loss: 0.580164, acc: 0.679688] [adversarial loss: 1.370455, acc: 0.187500] 4232: [discriminator loss: 0.547615, acc: 0.726562] [adversarial loss: 0.789122, acc: 0.437500] 4233: [discriminator loss: 0.545114, acc: 0.718750] [adversarial loss: 1.400358, acc: 0.125000] 4234: [discriminator loss: 0.545047, acc: 0.726562] [adversarial loss: 1.075390, acc: 0.234375] 4235: [discriminator loss: 0.524656, acc: 0.742188] [adversarial loss: 1.261991, acc: 0.250000] 4236: [discriminator loss: 0.552843, acc: 0.710938] [adversarial loss: 1.308497, acc: 0.203125] 4237: [discriminator loss: 0.522087, acc: 0.750000] [adversarial loss: 1.269708, acc: 0.218750] 4238: [discriminator loss: 0.559570, acc: 0.710938] [adversarial loss: 1.061136, acc: 0.296875] 4239: [discriminator loss: 0.428580, acc: 0.812500] [adversarial loss: 1.416116, acc: 0.203125] 4240: [discriminator loss: 0.501378, acc: 0.750000] [adversarial loss: 0.792937, acc: 0.390625] 4241: [discriminator loss: 0.578040, acc: 0.710938] [adversarial loss: 1.526112, acc: 0.109375] 4242: [discriminator loss: 0.514529, acc: 0.726562] [adversarial loss: 1.142442, acc: 0.296875] 4243: [discriminator loss: 0.512656, acc: 0.718750] [adversarial loss: 1.337237, acc: 0.203125] 4244: [discriminator loss: 0.524246, acc: 0.765625] [adversarial loss: 1.035635, acc: 0.328125] 4245: [discriminator loss: 0.501624, acc: 0.804688] [adversarial loss: 1.197444, acc: 0.265625] 4246: [discriminator loss: 0.459023, acc: 0.796875] [adversarial loss: 1.067808, acc: 0.312500] 4247: [discriminator loss: 0.589945, acc: 0.718750] [adversarial loss: 1.731857, acc: 0.078125] 4248: [discriminator loss: 0.571239, acc: 0.703125] [adversarial loss: 0.819926, acc: 0.468750] 4249: [discriminator loss: 0.558233, acc: 0.679688] [adversarial loss: 1.819157, acc: 0.125000] 4250: [discriminator loss: 0.560629, acc: 0.695312] [adversarial loss: 1.159654, acc: 0.359375] 4251: [discriminator loss: 0.502354, acc: 0.703125] [adversarial loss: 1.064942, acc: 0.281250] 4252: [discriminator loss: 0.521839, acc: 0.734375] [adversarial loss: 1.354288, acc: 0.203125] 4253: [discriminator loss: 0.501751, acc: 0.742188] [adversarial loss: 1.487659, acc: 0.250000] 4254: [discriminator loss: 0.590408, acc: 0.671875] [adversarial loss: 1.154160, acc: 0.328125] 4255: [discriminator loss: 0.523815, acc: 0.765625] [adversarial loss: 1.416363, acc: 0.218750] 4256: [discriminator loss: 0.572676, acc: 0.710938] [adversarial loss: 1.187597, acc: 0.281250] 4257: [discriminator loss: 0.560247, acc: 0.695312] [adversarial loss: 1.181652, acc: 0.296875] 4258: [discriminator loss: 0.524581, acc: 0.757812] [adversarial loss: 0.970270, acc: 0.375000] 4259: [discriminator loss: 0.526119, acc: 0.734375] [adversarial loss: 1.288167, acc: 0.203125] 4260: [discriminator loss: 0.514449, acc: 0.757812] [adversarial loss: 1.097274, acc: 0.218750] 4261: [discriminator loss: 0.553189, acc: 0.710938] [adversarial loss: 1.629229, acc: 0.031250] 4262: [discriminator loss: 0.566331, acc: 0.726562] [adversarial loss: 0.937337, acc: 0.390625] 4263: [discriminator loss: 0.518289, acc: 0.750000] [adversarial loss: 1.443783, acc: 0.203125] 4264: [discriminator loss: 0.543573, acc: 0.703125] [adversarial loss: 1.310143, acc: 0.218750] 4265: [discriminator loss: 0.519207, acc: 0.773438] [adversarial loss: 1.108637, acc: 0.328125] 4266: [discriminator loss: 0.489784, acc: 0.718750] [adversarial loss: 1.143831, acc: 0.312500] 4267: [discriminator loss: 0.476238, acc: 0.773438] [adversarial loss: 1.096976, acc: 0.296875] 4268: [discriminator loss: 0.525666, acc: 0.734375] [adversarial loss: 1.222923, acc: 0.203125] 4269: [discriminator loss: 0.606937, acc: 0.687500] [adversarial loss: 1.287064, acc: 0.250000] 4270: [discriminator loss: 0.513832, acc: 0.718750] [adversarial loss: 1.235188, acc: 0.250000] 4271: [discriminator loss: 0.536435, acc: 0.726562] [adversarial loss: 1.242182, acc: 0.203125] 4272: [discriminator loss: 0.550427, acc: 0.734375] [adversarial loss: 1.383297, acc: 0.156250] 4273: [discriminator loss: 0.595086, acc: 0.710938] [adversarial loss: 1.008412, acc: 0.359375] 4274: [discriminator loss: 0.556691, acc: 0.710938] [adversarial loss: 1.667762, acc: 0.109375] 4275: [discriminator loss: 0.576131, acc: 0.703125] [adversarial loss: 0.793155, acc: 0.484375] 4276: [discriminator loss: 0.694542, acc: 0.648438] [adversarial loss: 1.723447, acc: 0.109375] 4277: [discriminator loss: 0.619973, acc: 0.687500] [adversarial loss: 0.859700, acc: 0.437500] 4278: [discriminator loss: 0.639923, acc: 0.710938] [adversarial loss: 1.584574, acc: 0.140625] 4279: [discriminator loss: 0.598319, acc: 0.671875] [adversarial loss: 0.913906, acc: 0.390625] 4280: [discriminator loss: 0.529242, acc: 0.726562] [adversarial loss: 1.136880, acc: 0.265625] 4281: [discriminator loss: 0.534494, acc: 0.757812] [adversarial loss: 1.121156, acc: 0.281250] 4282: [discriminator loss: 0.449977, acc: 0.796875] [adversarial loss: 1.247610, acc: 0.250000] 4283: [discriminator loss: 0.554305, acc: 0.710938] [adversarial loss: 1.167067, acc: 0.265625] 4284: [discriminator loss: 0.496048, acc: 0.796875] [adversarial loss: 1.210191, acc: 0.187500] 4285: [discriminator loss: 0.508950, acc: 0.750000] [adversarial loss: 1.034361, acc: 0.281250] 4286: [discriminator loss: 0.535194, acc: 0.718750] [adversarial loss: 1.292919, acc: 0.187500] 4287: [discriminator loss: 0.533369, acc: 0.750000] [adversarial loss: 1.324861, acc: 0.234375] 4288: [discriminator loss: 0.634523, acc: 0.656250] [adversarial loss: 1.064681, acc: 0.187500] 4289: [discriminator loss: 0.619414, acc: 0.695312] [adversarial loss: 1.120247, acc: 0.312500] 4290: [discriminator loss: 0.553521, acc: 0.726562] [adversarial loss: 1.210068, acc: 0.250000] 4291: [discriminator loss: 0.538286, acc: 0.703125] [adversarial loss: 1.098871, acc: 0.234375] 4292: [discriminator loss: 0.533212, acc: 0.703125] [adversarial loss: 1.217019, acc: 0.203125] 4293: [discriminator loss: 0.560953, acc: 0.695312] [adversarial loss: 1.226552, acc: 0.250000] 4294: [discriminator loss: 0.541460, acc: 0.710938] [adversarial loss: 1.006847, acc: 0.265625] 4295: [discriminator loss: 0.545797, acc: 0.703125] [adversarial loss: 1.142766, acc: 0.187500] 4296: [discriminator loss: 0.564984, acc: 0.695312] [adversarial loss: 1.214684, acc: 0.234375] 4297: [discriminator loss: 0.483725, acc: 0.773438] [adversarial loss: 0.964521, acc: 0.406250] 4298: [discriminator loss: 0.516714, acc: 0.765625] [adversarial loss: 1.019807, acc: 0.390625] 4299: [discriminator loss: 0.516587, acc: 0.750000] [adversarial loss: 1.530736, acc: 0.125000] 4300: [discriminator loss: 0.544154, acc: 0.679688] [adversarial loss: 0.593624, acc: 0.640625] 4301: [discriminator loss: 0.647439, acc: 0.640625] [adversarial loss: 1.816358, acc: 0.031250] 4302: [discriminator loss: 0.549183, acc: 0.679688] [adversarial loss: 0.797946, acc: 0.500000] 4303: [discriminator loss: 0.640955, acc: 0.585938] [adversarial loss: 1.315157, acc: 0.109375] 4304: [discriminator loss: 0.545099, acc: 0.718750] [adversarial loss: 1.094536, acc: 0.234375] 4305: [discriminator loss: 0.514575, acc: 0.757812] [adversarial loss: 1.198347, acc: 0.234375] 4306: [discriminator loss: 0.492164, acc: 0.757812] [adversarial loss: 1.039494, acc: 0.359375] 4307: [discriminator loss: 0.500171, acc: 0.765625] [adversarial loss: 1.455211, acc: 0.218750] 4308: [discriminator loss: 0.578873, acc: 0.687500] [adversarial loss: 0.846249, acc: 0.515625] 4309: [discriminator loss: 0.549221, acc: 0.703125] [adversarial loss: 1.370566, acc: 0.187500] 4310: [discriminator loss: 0.580796, acc: 0.687500] [adversarial loss: 0.858568, acc: 0.468750] 4311: [discriminator loss: 0.570313, acc: 0.710938] [adversarial loss: 1.621760, acc: 0.125000] 4312: [discriminator loss: 0.526061, acc: 0.742188] [adversarial loss: 1.166248, acc: 0.296875] 4313: [discriminator loss: 0.500069, acc: 0.789062] [adversarial loss: 1.381789, acc: 0.156250] 4314: [discriminator loss: 0.616765, acc: 0.632812] [adversarial loss: 0.945025, acc: 0.265625] 4315: [discriminator loss: 0.505617, acc: 0.757812] [adversarial loss: 1.154494, acc: 0.250000] 4316: [discriminator loss: 0.494248, acc: 0.750000] [adversarial loss: 1.335827, acc: 0.156250] 4317: [discriminator loss: 0.607663, acc: 0.656250] [adversarial loss: 1.073745, acc: 0.281250] 4318: [discriminator loss: 0.512508, acc: 0.757812] [adversarial loss: 1.368527, acc: 0.140625] 4319: [discriminator loss: 0.524357, acc: 0.734375] [adversarial loss: 1.348047, acc: 0.171875] 4320: [discriminator loss: 0.533208, acc: 0.726562] [adversarial loss: 1.361929, acc: 0.156250] 4321: [discriminator loss: 0.543381, acc: 0.742188] [adversarial loss: 1.278953, acc: 0.125000] 4322: [discriminator loss: 0.501522, acc: 0.773438] [adversarial loss: 1.063502, acc: 0.265625] 4323: [discriminator loss: 0.576635, acc: 0.664062] [adversarial loss: 1.475549, acc: 0.187500] 4324: [discriminator loss: 0.546228, acc: 0.742188] [adversarial loss: 1.010271, acc: 0.296875] 4325: [discriminator loss: 0.522662, acc: 0.726562] [adversarial loss: 1.208085, acc: 0.250000] 4326: [discriminator loss: 0.495068, acc: 0.773438] [adversarial loss: 1.243812, acc: 0.250000] 4327: [discriminator loss: 0.467927, acc: 0.773438] [adversarial loss: 0.933654, acc: 0.390625] 4328: [discriminator loss: 0.542416, acc: 0.664062] [adversarial loss: 1.613938, acc: 0.109375] 4329: [discriminator loss: 0.581423, acc: 0.664062] [adversarial loss: 0.962116, acc: 0.312500] 4330: [discriminator loss: 0.518395, acc: 0.757812] [adversarial loss: 1.558488, acc: 0.078125] 4331: [discriminator loss: 0.656656, acc: 0.625000] [adversarial loss: 0.776002, acc: 0.468750] 4332: [discriminator loss: 0.620615, acc: 0.648438] [adversarial loss: 1.579271, acc: 0.031250] 4333: [discriminator loss: 0.570017, acc: 0.710938] [adversarial loss: 0.916299, acc: 0.453125] 4334: [discriminator loss: 0.540011, acc: 0.710938] [adversarial loss: 1.509159, acc: 0.046875] 4335: [discriminator loss: 0.636220, acc: 0.648438] [adversarial loss: 1.037463, acc: 0.312500] 4336: [discriminator loss: 0.537852, acc: 0.726562] [adversarial loss: 1.294252, acc: 0.125000] 4337: [discriminator loss: 0.489096, acc: 0.765625] [adversarial loss: 0.925267, acc: 0.296875] 4338: [discriminator loss: 0.523018, acc: 0.734375] [adversarial loss: 1.159635, acc: 0.250000] 4339: [discriminator loss: 0.557760, acc: 0.734375] [adversarial loss: 1.287347, acc: 0.171875] 4340: [discriminator loss: 0.451799, acc: 0.789062] [adversarial loss: 1.261785, acc: 0.109375] 4341: [discriminator loss: 0.469113, acc: 0.789062] [adversarial loss: 1.119846, acc: 0.250000] 4342: [discriminator loss: 0.525129, acc: 0.687500] [adversarial loss: 1.427115, acc: 0.140625] 4343: [discriminator loss: 0.565839, acc: 0.695312] [adversarial loss: 1.108089, acc: 0.250000] 4344: [discriminator loss: 0.510649, acc: 0.765625] [adversarial loss: 1.079613, acc: 0.203125] 4345: [discriminator loss: 0.570438, acc: 0.671875] [adversarial loss: 1.156853, acc: 0.234375] 4346: [discriminator loss: 0.588544, acc: 0.632812] [adversarial loss: 1.364699, acc: 0.218750] 4347: [discriminator loss: 0.559370, acc: 0.718750] [adversarial loss: 1.072117, acc: 0.203125] 4348: [discriminator loss: 0.473014, acc: 0.789062] [adversarial loss: 1.163779, acc: 0.312500] 4349: [discriminator loss: 0.536328, acc: 0.742188] [adversarial loss: 1.065252, acc: 0.296875] 4350: [discriminator loss: 0.526531, acc: 0.781250] [adversarial loss: 1.384775, acc: 0.203125] 4351: [discriminator loss: 0.563237, acc: 0.734375] [adversarial loss: 0.944224, acc: 0.406250] 4352: [discriminator loss: 0.608550, acc: 0.664062] [adversarial loss: 1.207730, acc: 0.296875] 4353: [discriminator loss: 0.498796, acc: 0.734375] [adversarial loss: 0.999453, acc: 0.343750] 4354: [discriminator loss: 0.586701, acc: 0.679688] [adversarial loss: 1.871468, acc: 0.078125] 4355: [discriminator loss: 0.590950, acc: 0.632812] [adversarial loss: 0.768525, acc: 0.500000] 4356: [discriminator loss: 0.615101, acc: 0.656250] [adversarial loss: 1.445469, acc: 0.187500] 4357: [discriminator loss: 0.565350, acc: 0.687500] [adversarial loss: 1.061733, acc: 0.250000] 4358: [discriminator loss: 0.454786, acc: 0.820312] [adversarial loss: 1.250924, acc: 0.156250] 4359: [discriminator loss: 0.526251, acc: 0.734375] [adversarial loss: 1.235533, acc: 0.203125] 4360: [discriminator loss: 0.498378, acc: 0.695312] [adversarial loss: 1.265427, acc: 0.218750] 4361: [discriminator loss: 0.497815, acc: 0.781250] [adversarial loss: 1.076074, acc: 0.281250] 4362: [discriminator loss: 0.546857, acc: 0.726562] [adversarial loss: 1.372046, acc: 0.140625] 4363: [discriminator loss: 0.554632, acc: 0.750000] [adversarial loss: 1.279851, acc: 0.343750] 4364: [discriminator loss: 0.440230, acc: 0.812500] [adversarial loss: 1.327332, acc: 0.187500] 4365: [discriminator loss: 0.465410, acc: 0.750000] [adversarial loss: 1.676418, acc: 0.093750] 4366: [discriminator loss: 0.608029, acc: 0.671875] [adversarial loss: 0.820670, acc: 0.468750] 4367: [discriminator loss: 0.663760, acc: 0.632812] [adversarial loss: 1.553831, acc: 0.109375] 4368: [discriminator loss: 0.566990, acc: 0.773438] [adversarial loss: 1.106377, acc: 0.312500] 4369: [discriminator loss: 0.617403, acc: 0.726562] [adversarial loss: 0.994117, acc: 0.265625] 4370: [discriminator loss: 0.490857, acc: 0.750000] [adversarial loss: 1.431790, acc: 0.171875] 4371: [discriminator loss: 0.543149, acc: 0.726562] [adversarial loss: 0.990727, acc: 0.359375] 4372: [discriminator loss: 0.520653, acc: 0.804688] [adversarial loss: 1.309844, acc: 0.187500] 4373: [discriminator loss: 0.490053, acc: 0.781250] [adversarial loss: 1.167187, acc: 0.281250] 4374: [discriminator loss: 0.595641, acc: 0.671875] [adversarial loss: 1.285794, acc: 0.187500] 4375: [discriminator loss: 0.538213, acc: 0.718750] [adversarial loss: 1.131064, acc: 0.250000] 4376: [discriminator loss: 0.564577, acc: 0.687500] [adversarial loss: 1.364073, acc: 0.203125] 4377: [discriminator loss: 0.639091, acc: 0.625000] [adversarial loss: 1.037032, acc: 0.265625] 4378: [discriminator loss: 0.548494, acc: 0.703125] [adversarial loss: 1.316066, acc: 0.093750] 4379: [discriminator loss: 0.499364, acc: 0.750000] [adversarial loss: 1.056852, acc: 0.343750] 4380: [discriminator loss: 0.525568, acc: 0.742188] [adversarial loss: 1.458373, acc: 0.125000] 4381: [discriminator loss: 0.593730, acc: 0.679688] [adversarial loss: 0.988688, acc: 0.328125] 4382: [discriminator loss: 0.622318, acc: 0.656250] [adversarial loss: 1.657920, acc: 0.078125] 4383: [discriminator loss: 0.531768, acc: 0.726562] [adversarial loss: 0.911340, acc: 0.359375] 4384: [discriminator loss: 0.588692, acc: 0.687500] [adversarial loss: 1.640951, acc: 0.078125] 4385: [discriminator loss: 0.597538, acc: 0.710938] [adversarial loss: 1.013278, acc: 0.328125] 4386: [discriminator loss: 0.647152, acc: 0.632812] [adversarial loss: 1.181917, acc: 0.265625] 4387: [discriminator loss: 0.554554, acc: 0.703125] [adversarial loss: 1.070373, acc: 0.234375] 4388: [discriminator loss: 0.561492, acc: 0.734375] [adversarial loss: 1.256598, acc: 0.218750] 4389: [discriminator loss: 0.593209, acc: 0.734375] [adversarial loss: 1.300934, acc: 0.125000] 4390: [discriminator loss: 0.529817, acc: 0.695312] [adversarial loss: 0.822053, acc: 0.406250] 4391: [discriminator loss: 0.563618, acc: 0.742188] [adversarial loss: 1.107151, acc: 0.343750] 4392: [discriminator loss: 0.571589, acc: 0.695312] [adversarial loss: 1.418206, acc: 0.062500] 4393: [discriminator loss: 0.539313, acc: 0.757812] [adversarial loss: 1.139417, acc: 0.250000] 4394: [discriminator loss: 0.529208, acc: 0.757812] [adversarial loss: 1.102271, acc: 0.187500] 4395: [discriminator loss: 0.557124, acc: 0.703125] [adversarial loss: 1.171354, acc: 0.234375] 4396: [discriminator loss: 0.532963, acc: 0.726562] [adversarial loss: 0.955441, acc: 0.437500] 4397: [discriminator loss: 0.603691, acc: 0.656250] [adversarial loss: 1.686359, acc: 0.046875] 4398: [discriminator loss: 0.585200, acc: 0.687500] [adversarial loss: 1.034795, acc: 0.328125] 4399: [discriminator loss: 0.547819, acc: 0.718750] [adversarial loss: 1.485808, acc: 0.156250] 4400: [discriminator loss: 0.554460, acc: 0.679688] [adversarial loss: 0.868323, acc: 0.312500] 4401: [discriminator loss: 0.488354, acc: 0.773438] [adversarial loss: 1.238605, acc: 0.234375] 4402: [discriminator loss: 0.549010, acc: 0.726562] [adversarial loss: 1.078530, acc: 0.250000] 4403: [discriminator loss: 0.491800, acc: 0.781250] [adversarial loss: 1.345483, acc: 0.140625] 4404: [discriminator loss: 0.549194, acc: 0.695312] [adversarial loss: 1.084369, acc: 0.281250] 4405: [discriminator loss: 0.546145, acc: 0.742188] [adversarial loss: 1.232158, acc: 0.187500] 4406: [discriminator loss: 0.466275, acc: 0.796875] [adversarial loss: 0.941695, acc: 0.359375] 4407: [discriminator loss: 0.618628, acc: 0.671875] [adversarial loss: 1.576465, acc: 0.093750] 4408: [discriminator loss: 0.587501, acc: 0.718750] [adversarial loss: 0.901755, acc: 0.390625] 4409: [discriminator loss: 0.535538, acc: 0.750000] [adversarial loss: 1.169307, acc: 0.296875] 4410: [discriminator loss: 0.619438, acc: 0.671875] [adversarial loss: 1.016035, acc: 0.234375] 4411: [discriminator loss: 0.503879, acc: 0.742188] [adversarial loss: 1.340322, acc: 0.156250] 4412: [discriminator loss: 0.466743, acc: 0.781250] [adversarial loss: 1.093858, acc: 0.250000] 4413: [discriminator loss: 0.537603, acc: 0.710938] [adversarial loss: 1.116780, acc: 0.203125] 4414: [discriminator loss: 0.544639, acc: 0.695312] [adversarial loss: 1.560187, acc: 0.140625] 4415: [discriminator loss: 0.588311, acc: 0.648438] [adversarial loss: 1.252042, acc: 0.203125] 4416: [discriminator loss: 0.571527, acc: 0.656250] [adversarial loss: 0.949637, acc: 0.359375] 4417: [discriminator loss: 0.579217, acc: 0.687500] [adversarial loss: 1.267662, acc: 0.203125] 4418: [discriminator loss: 0.543905, acc: 0.750000] [adversarial loss: 1.253235, acc: 0.140625] 4419: [discriminator loss: 0.498660, acc: 0.742188] [adversarial loss: 1.267272, acc: 0.218750] 4420: [discriminator loss: 0.574974, acc: 0.726562] [adversarial loss: 1.325722, acc: 0.171875] 4421: [discriminator loss: 0.480609, acc: 0.789062] [adversarial loss: 1.097495, acc: 0.203125] 4422: [discriminator loss: 0.504546, acc: 0.734375] [adversarial loss: 1.048001, acc: 0.312500] 4423: [discriminator loss: 0.530549, acc: 0.726562] [adversarial loss: 1.392636, acc: 0.140625] 4424: [discriminator loss: 0.565982, acc: 0.734375] [adversarial loss: 0.940640, acc: 0.359375] 4425: [discriminator loss: 0.513868, acc: 0.750000] [adversarial loss: 1.320498, acc: 0.140625] 4426: [discriminator loss: 0.518102, acc: 0.718750] [adversarial loss: 0.956318, acc: 0.328125] 4427: [discriminator loss: 0.555816, acc: 0.718750] [adversarial loss: 1.584298, acc: 0.171875] 4428: [discriminator loss: 0.557713, acc: 0.710938] [adversarial loss: 0.725385, acc: 0.500000] 4429: [discriminator loss: 0.570431, acc: 0.695312] [adversarial loss: 1.646371, acc: 0.078125] 4430: [discriminator loss: 0.593639, acc: 0.671875] [adversarial loss: 0.920645, acc: 0.421875] 4431: [discriminator loss: 0.528670, acc: 0.789062] [adversarial loss: 1.426910, acc: 0.109375] 4432: [discriminator loss: 0.530049, acc: 0.703125] [adversarial loss: 1.097763, acc: 0.265625] 4433: [discriminator loss: 0.623349, acc: 0.640625] [adversarial loss: 1.372433, acc: 0.109375] 4434: [discriminator loss: 0.501656, acc: 0.726562] [adversarial loss: 1.305987, acc: 0.109375] 4435: [discriminator loss: 0.444033, acc: 0.796875] [adversarial loss: 1.091982, acc: 0.250000] 4436: [discriminator loss: 0.575355, acc: 0.710938] [adversarial loss: 1.516163, acc: 0.156250] 4437: [discriminator loss: 0.606508, acc: 0.640625] [adversarial loss: 0.955182, acc: 0.390625] 4438: [discriminator loss: 0.534298, acc: 0.750000] [adversarial loss: 1.470632, acc: 0.125000] 4439: [discriminator loss: 0.509779, acc: 0.773438] [adversarial loss: 0.926370, acc: 0.421875] 4440: [discriminator loss: 0.596918, acc: 0.695312] [adversarial loss: 1.236486, acc: 0.187500] 4441: [discriminator loss: 0.556972, acc: 0.703125] [adversarial loss: 1.016141, acc: 0.343750] 4442: [discriminator loss: 0.538529, acc: 0.734375] [adversarial loss: 1.533001, acc: 0.125000] 4443: [discriminator loss: 0.556383, acc: 0.695312] [adversarial loss: 1.061161, acc: 0.250000] 4444: [discriminator loss: 0.524198, acc: 0.734375] [adversarial loss: 1.395520, acc: 0.171875] 4445: [discriminator loss: 0.511002, acc: 0.765625] [adversarial loss: 1.094686, acc: 0.343750] 4446: [discriminator loss: 0.484927, acc: 0.726562] [adversarial loss: 1.344001, acc: 0.140625] 4447: [discriminator loss: 0.526658, acc: 0.710938] [adversarial loss: 1.073780, acc: 0.359375] 4448: [discriminator loss: 0.594113, acc: 0.710938] [adversarial loss: 1.348070, acc: 0.218750] 4449: [discriminator loss: 0.549322, acc: 0.718750] [adversarial loss: 0.750008, acc: 0.593750] 4450: [discriminator loss: 0.607353, acc: 0.703125] [adversarial loss: 1.371323, acc: 0.203125] 4451: [discriminator loss: 0.554144, acc: 0.703125] [adversarial loss: 0.932224, acc: 0.390625] 4452: [discriminator loss: 0.587156, acc: 0.671875] [adversarial loss: 1.449073, acc: 0.171875] 4453: [discriminator loss: 0.547998, acc: 0.687500] [adversarial loss: 0.880205, acc: 0.453125] 4454: [discriminator loss: 0.523074, acc: 0.718750] [adversarial loss: 1.286907, acc: 0.156250] 4455: [discriminator loss: 0.549711, acc: 0.718750] [adversarial loss: 1.246098, acc: 0.265625] 4456: [discriminator loss: 0.541956, acc: 0.656250] [adversarial loss: 1.066525, acc: 0.390625] 4457: [discriminator loss: 0.525504, acc: 0.734375] [adversarial loss: 1.226706, acc: 0.218750] 4458: [discriminator loss: 0.519785, acc: 0.703125] [adversarial loss: 1.137028, acc: 0.281250] 4459: [discriminator loss: 0.563072, acc: 0.695312] [adversarial loss: 1.619345, acc: 0.109375] 4460: [discriminator loss: 0.592858, acc: 0.664062] [adversarial loss: 0.902673, acc: 0.468750] 4461: [discriminator loss: 0.564197, acc: 0.703125] [adversarial loss: 1.353784, acc: 0.156250] 4462: [discriminator loss: 0.546468, acc: 0.757812] [adversarial loss: 1.190423, acc: 0.218750] 4463: [discriminator loss: 0.566073, acc: 0.703125] [adversarial loss: 1.205989, acc: 0.187500] 4464: [discriminator loss: 0.603384, acc: 0.656250] [adversarial loss: 1.205984, acc: 0.187500] 4465: [discriminator loss: 0.582937, acc: 0.710938] [adversarial loss: 1.067190, acc: 0.296875] 4466: [discriminator loss: 0.575951, acc: 0.687500] [adversarial loss: 1.372148, acc: 0.218750] 4467: [discriminator loss: 0.533646, acc: 0.734375] [adversarial loss: 0.959384, acc: 0.390625] 4468: [discriminator loss: 0.540928, acc: 0.710938] [adversarial loss: 1.415819, acc: 0.171875] 4469: [discriminator loss: 0.583077, acc: 0.695312] [adversarial loss: 0.912397, acc: 0.359375] 4470: [discriminator loss: 0.566865, acc: 0.734375] [adversarial loss: 1.402391, acc: 0.140625] 4471: [discriminator loss: 0.523565, acc: 0.703125] [adversarial loss: 1.106059, acc: 0.296875] 4472: [discriminator loss: 0.523215, acc: 0.750000] [adversarial loss: 1.155353, acc: 0.187500] 4473: [discriminator loss: 0.472727, acc: 0.718750] [adversarial loss: 1.214251, acc: 0.203125] 4474: [discriminator loss: 0.531243, acc: 0.726562] [adversarial loss: 1.294218, acc: 0.171875] 4475: [discriminator loss: 0.508630, acc: 0.765625] [adversarial loss: 1.050374, acc: 0.281250] 4476: [discriminator loss: 0.530676, acc: 0.687500] [adversarial loss: 1.263173, acc: 0.250000] 4477: [discriminator loss: 0.513310, acc: 0.757812] [adversarial loss: 1.405808, acc: 0.203125] 4478: [discriminator loss: 0.535762, acc: 0.710938] [adversarial loss: 1.442761, acc: 0.093750] 4479: [discriminator loss: 0.566281, acc: 0.679688] [adversarial loss: 1.060622, acc: 0.359375] 4480: [discriminator loss: 0.567278, acc: 0.703125] [adversarial loss: 1.194365, acc: 0.250000] 4481: [discriminator loss: 0.544009, acc: 0.726562] [adversarial loss: 1.212958, acc: 0.265625] 4482: [discriminator loss: 0.507139, acc: 0.750000] [adversarial loss: 0.978217, acc: 0.343750] 4483: [discriminator loss: 0.506280, acc: 0.757812] [adversarial loss: 1.320467, acc: 0.093750] 4484: [discriminator loss: 0.469805, acc: 0.765625] [adversarial loss: 1.086670, acc: 0.234375] 4485: [discriminator loss: 0.600593, acc: 0.671875] [adversarial loss: 1.534829, acc: 0.078125] 4486: [discriminator loss: 0.536128, acc: 0.734375] [adversarial loss: 0.895484, acc: 0.468750] 4487: [discriminator loss: 0.515388, acc: 0.718750] [adversarial loss: 1.464973, acc: 0.140625] 4488: [discriminator loss: 0.518164, acc: 0.718750] [adversarial loss: 0.831948, acc: 0.437500] 4489: [discriminator loss: 0.597443, acc: 0.664062] [adversarial loss: 1.673586, acc: 0.046875] 4490: [discriminator loss: 0.654226, acc: 0.640625] [adversarial loss: 0.781787, acc: 0.531250] 4491: [discriminator loss: 0.683853, acc: 0.617188] [adversarial loss: 1.643766, acc: 0.078125] 4492: [discriminator loss: 0.569996, acc: 0.718750] [adversarial loss: 0.994167, acc: 0.343750] 4493: [discriminator loss: 0.489968, acc: 0.750000] [adversarial loss: 1.233277, acc: 0.187500] 4494: [discriminator loss: 0.571714, acc: 0.664062] [adversarial loss: 1.021213, acc: 0.343750] 4495: [discriminator loss: 0.551341, acc: 0.718750] [adversarial loss: 1.225552, acc: 0.234375] 4496: [discriminator loss: 0.535773, acc: 0.742188] [adversarial loss: 1.142668, acc: 0.203125] 4497: [discriminator loss: 0.507947, acc: 0.765625] [adversarial loss: 1.165297, acc: 0.234375] 4498: [discriminator loss: 0.471192, acc: 0.796875] [adversarial loss: 1.037321, acc: 0.328125] 4499: [discriminator loss: 0.570872, acc: 0.671875] [adversarial loss: 1.327506, acc: 0.125000] 4500: [discriminator loss: 0.503647, acc: 0.742188] [adversarial loss: 0.991574, acc: 0.390625] 4501: [discriminator loss: 0.567542, acc: 0.648438] [adversarial loss: 1.500415, acc: 0.093750] 4502: [discriminator loss: 0.547730, acc: 0.695312] [adversarial loss: 1.090599, acc: 0.312500] 4503: [discriminator loss: 0.606691, acc: 0.726562] [adversarial loss: 1.501776, acc: 0.109375] 4504: [discriminator loss: 0.588288, acc: 0.664062] [adversarial loss: 1.092560, acc: 0.203125] 4505: [discriminator loss: 0.439803, acc: 0.835938] [adversarial loss: 1.163488, acc: 0.250000] 4506: [discriminator loss: 0.515451, acc: 0.710938] [adversarial loss: 1.125670, acc: 0.281250] 4507: [discriminator loss: 0.496751, acc: 0.757812] [adversarial loss: 1.231948, acc: 0.203125] 4508: [discriminator loss: 0.492112, acc: 0.734375] [adversarial loss: 1.277567, acc: 0.140625] 4509: [discriminator loss: 0.555049, acc: 0.710938] [adversarial loss: 0.916389, acc: 0.390625] 4510: [discriminator loss: 0.558350, acc: 0.710938] [adversarial loss: 1.600777, acc: 0.078125] 4511: [discriminator loss: 0.558456, acc: 0.718750] [adversarial loss: 0.938952, acc: 0.421875] 4512: [discriminator loss: 0.539827, acc: 0.726562] [adversarial loss: 1.475712, acc: 0.203125] 4513: [discriminator loss: 0.480497, acc: 0.765625] [adversarial loss: 1.021617, acc: 0.359375] 4514: [discriminator loss: 0.554972, acc: 0.703125] [adversarial loss: 1.387254, acc: 0.187500] 4515: [discriminator loss: 0.548232, acc: 0.703125] [adversarial loss: 1.100452, acc: 0.296875] 4516: [discriminator loss: 0.463557, acc: 0.765625] [adversarial loss: 1.141955, acc: 0.203125] 4517: [discriminator loss: 0.539558, acc: 0.765625] [adversarial loss: 1.033650, acc: 0.234375] 4518: [discriminator loss: 0.568418, acc: 0.687500] [adversarial loss: 1.016272, acc: 0.390625] 4519: [discriminator loss: 0.478815, acc: 0.742188] [adversarial loss: 1.323089, acc: 0.187500] 4520: [discriminator loss: 0.572849, acc: 0.671875] [adversarial loss: 1.216635, acc: 0.234375] 4521: [discriminator loss: 0.567331, acc: 0.710938] [adversarial loss: 1.107492, acc: 0.281250] 4522: [discriminator loss: 0.538092, acc: 0.757812] [adversarial loss: 1.175335, acc: 0.265625] 4523: [discriminator loss: 0.564705, acc: 0.703125] [adversarial loss: 1.120321, acc: 0.296875] 4524: [discriminator loss: 0.573121, acc: 0.687500] [adversarial loss: 1.253466, acc: 0.265625] 4525: [discriminator loss: 0.449310, acc: 0.773438] [adversarial loss: 1.244925, acc: 0.140625] 4526: [discriminator loss: 0.618241, acc: 0.687500] [adversarial loss: 1.470251, acc: 0.156250] 4527: [discriminator loss: 0.514582, acc: 0.742188] [adversarial loss: 0.854392, acc: 0.453125] 4528: [discriminator loss: 0.576830, acc: 0.695312] [adversarial loss: 1.702856, acc: 0.140625] 4529: [discriminator loss: 0.632865, acc: 0.695312] [adversarial loss: 0.723659, acc: 0.500000] 4530: [discriminator loss: 0.614861, acc: 0.648438] [adversarial loss: 1.794936, acc: 0.046875] 4531: [discriminator loss: 0.591251, acc: 0.671875] [adversarial loss: 0.890202, acc: 0.390625] 4532: [discriminator loss: 0.578251, acc: 0.687500] [adversarial loss: 1.305910, acc: 0.171875] 4533: [discriminator loss: 0.563871, acc: 0.726562] [adversarial loss: 0.900206, acc: 0.375000] 4534: [discriminator loss: 0.505038, acc: 0.773438] [adversarial loss: 1.263451, acc: 0.187500] 4535: [discriminator loss: 0.510476, acc: 0.734375] [adversarial loss: 1.191582, acc: 0.171875] 4536: [discriminator loss: 0.572884, acc: 0.679688] [adversarial loss: 0.949016, acc: 0.390625] 4537: [discriminator loss: 0.547524, acc: 0.750000] [adversarial loss: 1.547119, acc: 0.187500] 4538: [discriminator loss: 0.533156, acc: 0.750000] [adversarial loss: 1.119507, acc: 0.265625] 4539: [discriminator loss: 0.511449, acc: 0.742188] [adversarial loss: 1.274522, acc: 0.156250] 4540: [discriminator loss: 0.516173, acc: 0.750000] [adversarial loss: 1.251609, acc: 0.234375] 4541: [discriminator loss: 0.566148, acc: 0.679688] [adversarial loss: 1.518551, acc: 0.125000] 4542: [discriminator loss: 0.624115, acc: 0.656250] [adversarial loss: 0.918033, acc: 0.421875] 4543: [discriminator loss: 0.521302, acc: 0.726562] [adversarial loss: 1.442824, acc: 0.140625] 4544: [discriminator loss: 0.536221, acc: 0.710938] [adversarial loss: 1.086744, acc: 0.281250] 4545: [discriminator loss: 0.559477, acc: 0.710938] [adversarial loss: 1.410526, acc: 0.140625] 4546: [discriminator loss: 0.507092, acc: 0.734375] [adversarial loss: 1.289157, acc: 0.187500] 4547: [discriminator loss: 0.486461, acc: 0.781250] [adversarial loss: 1.321429, acc: 0.093750] 4548: [discriminator loss: 0.521942, acc: 0.718750] [adversarial loss: 1.278332, acc: 0.171875] 4549: [discriminator loss: 0.552948, acc: 0.679688] [adversarial loss: 1.084662, acc: 0.265625] 4550: [discriminator loss: 0.592889, acc: 0.703125] [adversarial loss: 1.152243, acc: 0.203125] 4551: [discriminator loss: 0.554286, acc: 0.703125] [adversarial loss: 1.041177, acc: 0.281250] 4552: [discriminator loss: 0.585483, acc: 0.710938] [adversarial loss: 1.399753, acc: 0.187500] 4553: [discriminator loss: 0.573576, acc: 0.671875] [adversarial loss: 1.002371, acc: 0.375000] 4554: [discriminator loss: 0.524274, acc: 0.726562] [adversarial loss: 1.211647, acc: 0.265625] 4555: [discriminator loss: 0.589156, acc: 0.687500] [adversarial loss: 0.954879, acc: 0.359375] 4556: [discriminator loss: 0.552624, acc: 0.718750] [adversarial loss: 1.463862, acc: 0.093750] 4557: [discriminator loss: 0.506732, acc: 0.734375] [adversarial loss: 1.177264, acc: 0.187500] 4558: [discriminator loss: 0.532777, acc: 0.726562] [adversarial loss: 1.284056, acc: 0.156250] 4559: [discriminator loss: 0.599026, acc: 0.718750] [adversarial loss: 1.039853, acc: 0.328125] 4560: [discriminator loss: 0.555407, acc: 0.734375] [adversarial loss: 1.145465, acc: 0.234375] 4561: [discriminator loss: 0.529212, acc: 0.742188] [adversarial loss: 1.052337, acc: 0.250000] 4562: [discriminator loss: 0.531821, acc: 0.726562] [adversarial loss: 1.371599, acc: 0.187500] 4563: [discriminator loss: 0.591036, acc: 0.664062] [adversarial loss: 1.131060, acc: 0.234375] 4564: [discriminator loss: 0.493739, acc: 0.765625] [adversarial loss: 1.391701, acc: 0.203125] 4565: [discriminator loss: 0.512246, acc: 0.734375] [adversarial loss: 1.047869, acc: 0.296875] 4566: [discriminator loss: 0.470633, acc: 0.750000] [adversarial loss: 1.584966, acc: 0.109375] 4567: [discriminator loss: 0.575440, acc: 0.695312] [adversarial loss: 0.962931, acc: 0.390625] 4568: [discriminator loss: 0.615262, acc: 0.671875] [adversarial loss: 1.490692, acc: 0.171875] 4569: [discriminator loss: 0.583786, acc: 0.679688] [adversarial loss: 0.891016, acc: 0.390625] 4570: [discriminator loss: 0.527569, acc: 0.765625] [adversarial loss: 1.596906, acc: 0.078125] 4571: [discriminator loss: 0.574312, acc: 0.679688] [adversarial loss: 0.905520, acc: 0.453125] 4572: [discriminator loss: 0.553895, acc: 0.742188] [adversarial loss: 1.549535, acc: 0.078125] 4573: [discriminator loss: 0.571150, acc: 0.687500] [adversarial loss: 0.825541, acc: 0.406250] 4574: [discriminator loss: 0.611126, acc: 0.656250] [adversarial loss: 1.421910, acc: 0.125000] 4575: [discriminator loss: 0.578380, acc: 0.703125] [adversarial loss: 0.823615, acc: 0.437500] 4576: [discriminator loss: 0.530235, acc: 0.757812] [adversarial loss: 1.398226, acc: 0.171875] 4577: [discriminator loss: 0.563929, acc: 0.695312] [adversarial loss: 1.017580, acc: 0.250000] 4578: [discriminator loss: 0.520212, acc: 0.765625] [adversarial loss: 1.347499, acc: 0.187500] 4579: [discriminator loss: 0.573934, acc: 0.718750] [adversarial loss: 1.026028, acc: 0.312500] 4580: [discriminator loss: 0.516771, acc: 0.750000] [adversarial loss: 1.306510, acc: 0.265625] 4581: [discriminator loss: 0.563992, acc: 0.703125] [adversarial loss: 1.077972, acc: 0.171875] 4582: [discriminator loss: 0.577820, acc: 0.687500] [adversarial loss: 1.131827, acc: 0.312500] 4583: [discriminator loss: 0.607018, acc: 0.671875] [adversarial loss: 1.191021, acc: 0.171875] 4584: [discriminator loss: 0.601430, acc: 0.687500] [adversarial loss: 1.391418, acc: 0.125000] 4585: [discriminator loss: 0.534912, acc: 0.742188] [adversarial loss: 0.975592, acc: 0.312500] 4586: [discriminator loss: 0.567323, acc: 0.695312] [adversarial loss: 1.221338, acc: 0.140625] 4587: [discriminator loss: 0.575207, acc: 0.679688] [adversarial loss: 1.030123, acc: 0.281250] 4588: [discriminator loss: 0.533462, acc: 0.726562] [adversarial loss: 1.451755, acc: 0.046875] 4589: [discriminator loss: 0.568431, acc: 0.679688] [adversarial loss: 0.761284, acc: 0.500000] 4590: [discriminator loss: 0.596900, acc: 0.703125] [adversarial loss: 1.199039, acc: 0.250000] 4591: [discriminator loss: 0.571094, acc: 0.703125] [adversarial loss: 1.032919, acc: 0.375000] 4592: [discriminator loss: 0.560713, acc: 0.734375] [adversarial loss: 1.256668, acc: 0.234375] 4593: [discriminator loss: 0.551866, acc: 0.718750] [adversarial loss: 1.004786, acc: 0.250000] 4594: [discriminator loss: 0.609300, acc: 0.718750] [adversarial loss: 1.453895, acc: 0.140625] 4595: [discriminator loss: 0.558501, acc: 0.687500] [adversarial loss: 0.970630, acc: 0.265625] 4596: [discriminator loss: 0.549634, acc: 0.750000] [adversarial loss: 1.411958, acc: 0.109375] 4597: [discriminator loss: 0.505808, acc: 0.765625] [adversarial loss: 1.012042, acc: 0.250000] 4598: [discriminator loss: 0.505989, acc: 0.734375] [adversarial loss: 1.321161, acc: 0.218750] 4599: [discriminator loss: 0.565054, acc: 0.664062] [adversarial loss: 1.041630, acc: 0.312500] 4600: [discriminator loss: 0.495427, acc: 0.828125] [adversarial loss: 1.344506, acc: 0.109375] 4601: [discriminator loss: 0.522349, acc: 0.781250] [adversarial loss: 1.165017, acc: 0.203125] 4602: [discriminator loss: 0.548485, acc: 0.703125] [adversarial loss: 1.114458, acc: 0.250000] 4603: [discriminator loss: 0.445980, acc: 0.812500] [adversarial loss: 1.050795, acc: 0.390625] 4604: [discriminator loss: 0.517610, acc: 0.710938] [adversarial loss: 1.223949, acc: 0.203125] 4605: [discriminator loss: 0.524691, acc: 0.765625] [adversarial loss: 1.344506, acc: 0.218750] 4606: [discriminator loss: 0.536402, acc: 0.703125] [adversarial loss: 0.945638, acc: 0.406250] 4607: [discriminator loss: 0.517803, acc: 0.718750] [adversarial loss: 1.587519, acc: 0.125000] 4608: [discriminator loss: 0.563405, acc: 0.718750] [adversarial loss: 1.073040, acc: 0.281250] 4609: [discriminator loss: 0.562273, acc: 0.656250] [adversarial loss: 1.533164, acc: 0.156250] 4610: [discriminator loss: 0.488653, acc: 0.765625] [adversarial loss: 1.173373, acc: 0.265625] 4611: [discriminator loss: 0.599163, acc: 0.664062] [adversarial loss: 1.462741, acc: 0.046875] 4612: [discriminator loss: 0.486372, acc: 0.765625] [adversarial loss: 0.968996, acc: 0.343750] 4613: [discriminator loss: 0.440943, acc: 0.765625] [adversarial loss: 1.328146, acc: 0.171875] 4614: [discriminator loss: 0.519072, acc: 0.718750] [adversarial loss: 0.962094, acc: 0.343750] 4615: [discriminator loss: 0.581235, acc: 0.718750] [adversarial loss: 1.378545, acc: 0.109375] 4616: [discriminator loss: 0.526675, acc: 0.734375] [adversarial loss: 0.854385, acc: 0.406250] 4617: [discriminator loss: 0.551329, acc: 0.718750] [adversarial loss: 1.615161, acc: 0.156250] 4618: [discriminator loss: 0.719070, acc: 0.601562] [adversarial loss: 1.002625, acc: 0.390625] 4619: [discriminator loss: 0.578054, acc: 0.648438] [adversarial loss: 1.392347, acc: 0.109375] 4620: [discriminator loss: 0.554834, acc: 0.710938] [adversarial loss: 1.128670, acc: 0.265625] 4621: [discriminator loss: 0.544441, acc: 0.703125] [adversarial loss: 1.281278, acc: 0.140625] 4622: [discriminator loss: 0.522691, acc: 0.726562] [adversarial loss: 0.898049, acc: 0.359375] 4623: [discriminator loss: 0.602329, acc: 0.726562] [adversarial loss: 1.494195, acc: 0.140625] 4624: [discriminator loss: 0.553079, acc: 0.671875] [adversarial loss: 1.098888, acc: 0.343750] 4625: [discriminator loss: 0.555793, acc: 0.726562] [adversarial loss: 1.020630, acc: 0.250000] 4626: [discriminator loss: 0.506079, acc: 0.781250] [adversarial loss: 1.360226, acc: 0.218750] 4627: [discriminator loss: 0.583188, acc: 0.609375] [adversarial loss: 0.925313, acc: 0.390625] 4628: [discriminator loss: 0.506604, acc: 0.789062] [adversarial loss: 1.151994, acc: 0.218750] 4629: [discriminator loss: 0.567214, acc: 0.718750] [adversarial loss: 1.305062, acc: 0.203125] 4630: [discriminator loss: 0.541214, acc: 0.703125] [adversarial loss: 1.300814, acc: 0.171875] 4631: [discriminator loss: 0.491228, acc: 0.773438] [adversarial loss: 0.938228, acc: 0.328125] 4632: [discriminator loss: 0.579281, acc: 0.671875] [adversarial loss: 1.234648, acc: 0.218750] 4633: [discriminator loss: 0.538751, acc: 0.757812] [adversarial loss: 1.165724, acc: 0.296875] 4634: [discriminator loss: 0.715805, acc: 0.585938] [adversarial loss: 1.038701, acc: 0.296875] 4635: [discriminator loss: 0.522460, acc: 0.742188] [adversarial loss: 1.306776, acc: 0.171875] 4636: [discriminator loss: 0.526927, acc: 0.718750] [adversarial loss: 0.935223, acc: 0.359375] 4637: [discriminator loss: 0.466200, acc: 0.773438] [adversarial loss: 1.490835, acc: 0.078125] 4638: [discriminator loss: 0.561867, acc: 0.718750] [adversarial loss: 1.104666, acc: 0.296875] 4639: [discriminator loss: 0.502701, acc: 0.726562] [adversarial loss: 1.489642, acc: 0.078125] 4640: [discriminator loss: 0.542434, acc: 0.679688] [adversarial loss: 0.972685, acc: 0.281250] 4641: [discriminator loss: 0.494192, acc: 0.742188] [adversarial loss: 0.846971, acc: 0.343750] 4642: [discriminator loss: 0.535258, acc: 0.718750] [adversarial loss: 1.552317, acc: 0.093750] 4643: [discriminator loss: 0.529661, acc: 0.726562] [adversarial loss: 1.023792, acc: 0.375000] 4644: [discriminator loss: 0.552487, acc: 0.710938] [adversarial loss: 1.428527, acc: 0.125000] 4645: [discriminator loss: 0.555738, acc: 0.687500] [adversarial loss: 1.039861, acc: 0.281250] 4646: [discriminator loss: 0.491556, acc: 0.781250] [adversarial loss: 1.461487, acc: 0.171875] 4647: [discriminator loss: 0.545733, acc: 0.664062] [adversarial loss: 0.918120, acc: 0.375000] 4648: [discriminator loss: 0.495924, acc: 0.718750] [adversarial loss: 1.717800, acc: 0.093750] 4649: [discriminator loss: 0.580826, acc: 0.695312] [adversarial loss: 1.371166, acc: 0.234375] 4650: [discriminator loss: 0.510178, acc: 0.773438] [adversarial loss: 1.311203, acc: 0.218750] 4651: [discriminator loss: 0.452006, acc: 0.820312] [adversarial loss: 1.332090, acc: 0.203125] 4652: [discriminator loss: 0.529939, acc: 0.718750] [adversarial loss: 0.899903, acc: 0.406250] 4653: [discriminator loss: 0.532727, acc: 0.734375] [adversarial loss: 1.495469, acc: 0.171875] 4654: [discriminator loss: 0.544009, acc: 0.710938] [adversarial loss: 0.757820, acc: 0.453125] 4655: [discriminator loss: 0.532164, acc: 0.710938] [adversarial loss: 1.693144, acc: 0.062500] 4656: [discriminator loss: 0.501578, acc: 0.750000] [adversarial loss: 1.038145, acc: 0.296875] 4657: [discriminator loss: 0.562674, acc: 0.710938] [adversarial loss: 1.342623, acc: 0.265625] 4658: [discriminator loss: 0.523274, acc: 0.703125] [adversarial loss: 0.866808, acc: 0.406250] 4659: [discriminator loss: 0.525719, acc: 0.757812] [adversarial loss: 1.519579, acc: 0.078125] 4660: [discriminator loss: 0.525972, acc: 0.687500] [adversarial loss: 0.951615, acc: 0.375000] 4661: [discriminator loss: 0.493257, acc: 0.765625] [adversarial loss: 1.480995, acc: 0.093750] 4662: [discriminator loss: 0.596432, acc: 0.656250] [adversarial loss: 1.073403, acc: 0.312500] 4663: [discriminator loss: 0.548030, acc: 0.710938] [adversarial loss: 1.120639, acc: 0.250000] 4664: [discriminator loss: 0.578698, acc: 0.664062] [adversarial loss: 1.095652, acc: 0.296875] 4665: [discriminator loss: 0.585454, acc: 0.671875] [adversarial loss: 1.390940, acc: 0.140625] 4666: [discriminator loss: 0.652103, acc: 0.640625] [adversarial loss: 0.953044, acc: 0.328125] 4667: [discriminator loss: 0.558633, acc: 0.718750] [adversarial loss: 1.268713, acc: 0.265625] 4668: [discriminator loss: 0.559640, acc: 0.742188] [adversarial loss: 1.015064, acc: 0.218750] 4669: [discriminator loss: 0.561069, acc: 0.679688] [adversarial loss: 1.399934, acc: 0.125000] 4670: [discriminator loss: 0.490970, acc: 0.718750] [adversarial loss: 1.206605, acc: 0.156250] 4671: [discriminator loss: 0.534311, acc: 0.710938] [adversarial loss: 1.417043, acc: 0.109375] 4672: [discriminator loss: 0.485125, acc: 0.781250] [adversarial loss: 1.178511, acc: 0.265625] 4673: [discriminator loss: 0.509488, acc: 0.742188] [adversarial loss: 1.214085, acc: 0.203125] 4674: [discriminator loss: 0.499633, acc: 0.757812] [adversarial loss: 1.377467, acc: 0.078125] 4675: [discriminator loss: 0.488656, acc: 0.750000] [adversarial loss: 1.030006, acc: 0.218750] 4676: [discriminator loss: 0.518489, acc: 0.765625] [adversarial loss: 1.404127, acc: 0.125000] 4677: [discriminator loss: 0.556157, acc: 0.734375] [adversarial loss: 1.261796, acc: 0.218750] 4678: [discriminator loss: 0.556029, acc: 0.703125] [adversarial loss: 1.062533, acc: 0.250000] 4679: [discriminator loss: 0.568512, acc: 0.679688] [adversarial loss: 1.465366, acc: 0.171875] 4680: [discriminator loss: 0.608925, acc: 0.648438] [adversarial loss: 0.960317, acc: 0.437500] 4681: [discriminator loss: 0.584501, acc: 0.695312] [adversarial loss: 1.604664, acc: 0.093750] 4682: [discriminator loss: 0.610930, acc: 0.656250] [adversarial loss: 0.822023, acc: 0.468750] 4683: [discriminator loss: 0.601893, acc: 0.703125] [adversarial loss: 1.256241, acc: 0.156250] 4684: [discriminator loss: 0.609257, acc: 0.718750] [adversarial loss: 1.024655, acc: 0.328125] 4685: [discriminator loss: 0.527207, acc: 0.734375] [adversarial loss: 1.039938, acc: 0.281250] 4686: [discriminator loss: 0.516421, acc: 0.718750] [adversarial loss: 0.975448, acc: 0.343750] 4687: [discriminator loss: 0.544917, acc: 0.718750] [adversarial loss: 1.208386, acc: 0.265625] 4688: [discriminator loss: 0.544606, acc: 0.726562] [adversarial loss: 1.098403, acc: 0.234375] 4689: [discriminator loss: 0.582608, acc: 0.695312] [adversarial loss: 1.546550, acc: 0.125000] 4690: [discriminator loss: 0.536243, acc: 0.726562] [adversarial loss: 1.141654, acc: 0.265625] 4691: [discriminator loss: 0.519688, acc: 0.757812] [adversarial loss: 1.211628, acc: 0.281250] 4692: [discriminator loss: 0.543823, acc: 0.726562] [adversarial loss: 1.054400, acc: 0.312500] 4693: [discriminator loss: 0.463764, acc: 0.789062] [adversarial loss: 1.207633, acc: 0.234375] 4694: [discriminator loss: 0.582280, acc: 0.664062] [adversarial loss: 1.207210, acc: 0.234375] 4695: [discriminator loss: 0.570853, acc: 0.671875] [adversarial loss: 1.083363, acc: 0.359375] 4696: [discriminator loss: 0.639565, acc: 0.687500] [adversarial loss: 1.457242, acc: 0.203125] 4697: [discriminator loss: 0.640643, acc: 0.632812] [adversarial loss: 1.044548, acc: 0.296875] 4698: [discriminator loss: 0.594091, acc: 0.718750] [adversarial loss: 1.287471, acc: 0.218750] 4699: [discriminator loss: 0.574144, acc: 0.671875] [adversarial loss: 1.230825, acc: 0.203125] 4700: [discriminator loss: 0.496156, acc: 0.750000] [adversarial loss: 1.239170, acc: 0.203125] 4701: [discriminator loss: 0.602077, acc: 0.656250] [adversarial loss: 1.090487, acc: 0.328125] 4702: [discriminator loss: 0.481035, acc: 0.843750] [adversarial loss: 1.090909, acc: 0.265625] 4703: [discriminator loss: 0.529765, acc: 0.703125] [adversarial loss: 1.465707, acc: 0.093750] 4704: [discriminator loss: 0.554130, acc: 0.726562] [adversarial loss: 0.839010, acc: 0.359375] 4705: [discriminator loss: 0.522069, acc: 0.718750] [adversarial loss: 1.542519, acc: 0.125000] 4706: [discriminator loss: 0.555952, acc: 0.718750] [adversarial loss: 1.147427, acc: 0.250000] 4707: [discriminator loss: 0.660630, acc: 0.625000] [adversarial loss: 1.329373, acc: 0.125000] 4708: [discriminator loss: 0.517156, acc: 0.757812] [adversarial loss: 1.105169, acc: 0.265625] 4709: [discriminator loss: 0.535233, acc: 0.710938] [adversarial loss: 1.254407, acc: 0.218750] 4710: [discriminator loss: 0.571099, acc: 0.695312] [adversarial loss: 1.021304, acc: 0.281250] 4711: [discriminator loss: 0.520645, acc: 0.773438] [adversarial loss: 1.193350, acc: 0.203125] 4712: [discriminator loss: 0.518710, acc: 0.742188] [adversarial loss: 1.221845, acc: 0.203125] 4713: [discriminator loss: 0.607409, acc: 0.687500] [adversarial loss: 1.162961, acc: 0.140625] 4714: [discriminator loss: 0.535064, acc: 0.757812] [adversarial loss: 1.227517, acc: 0.203125] 4715: [discriminator loss: 0.446888, acc: 0.804688] [adversarial loss: 1.269057, acc: 0.171875] 4716: [discriminator loss: 0.605392, acc: 0.695312] [adversarial loss: 1.050252, acc: 0.343750] 4717: [discriminator loss: 0.566909, acc: 0.687500] [adversarial loss: 1.498884, acc: 0.187500] 4718: [discriminator loss: 0.554301, acc: 0.710938] [adversarial loss: 1.003615, acc: 0.328125] 4719: [discriminator loss: 0.547052, acc: 0.742188] [adversarial loss: 1.152776, acc: 0.281250] 4720: [discriminator loss: 0.542289, acc: 0.679688] [adversarial loss: 1.150215, acc: 0.296875] 4721: [discriminator loss: 0.562144, acc: 0.703125] [adversarial loss: 1.190391, acc: 0.375000] 4722: [discriminator loss: 0.558243, acc: 0.679688] [adversarial loss: 1.326500, acc: 0.171875] 4723: [discriminator loss: 0.506319, acc: 0.773438] [adversarial loss: 1.236565, acc: 0.125000] 4724: [discriminator loss: 0.599995, acc: 0.718750] [adversarial loss: 1.245185, acc: 0.203125] 4725: [discriminator loss: 0.501232, acc: 0.742188] [adversarial loss: 0.856644, acc: 0.406250] 4726: [discriminator loss: 0.572981, acc: 0.695312] [adversarial loss: 1.334288, acc: 0.156250] 4727: [discriminator loss: 0.505339, acc: 0.765625] [adversarial loss: 1.013336, acc: 0.390625] 4728: [discriminator loss: 0.532022, acc: 0.734375] [adversarial loss: 1.116856, acc: 0.250000] 4729: [discriminator loss: 0.459595, acc: 0.804688] [adversarial loss: 1.013639, acc: 0.328125] 4730: [discriminator loss: 0.589140, acc: 0.656250] [adversarial loss: 0.950489, acc: 0.406250] 4731: [discriminator loss: 0.569191, acc: 0.695312] [adversarial loss: 1.347595, acc: 0.234375] 4732: [discriminator loss: 0.589830, acc: 0.703125] [adversarial loss: 0.886891, acc: 0.359375] 4733: [discriminator loss: 0.613470, acc: 0.671875] [adversarial loss: 1.619266, acc: 0.093750] 4734: [discriminator loss: 0.602058, acc: 0.679688] [adversarial loss: 0.787907, acc: 0.515625] 4735: [discriminator loss: 0.583129, acc: 0.656250] [adversarial loss: 1.827543, acc: 0.046875] 4736: [discriminator loss: 0.642938, acc: 0.695312] [adversarial loss: 0.930241, acc: 0.296875] 4737: [discriminator loss: 0.554779, acc: 0.726562] [adversarial loss: 1.514287, acc: 0.093750] 4738: [discriminator loss: 0.585044, acc: 0.679688] [adversarial loss: 0.987107, acc: 0.234375] 4739: [discriminator loss: 0.528639, acc: 0.726562] [adversarial loss: 1.251452, acc: 0.171875] 4740: [discriminator loss: 0.468516, acc: 0.796875] [adversarial loss: 1.437465, acc: 0.125000] 4741: [discriminator loss: 0.533791, acc: 0.710938] [adversarial loss: 1.064837, acc: 0.250000] 4742: [discriminator loss: 0.572960, acc: 0.687500] [adversarial loss: 1.295354, acc: 0.218750] 4743: [discriminator loss: 0.502181, acc: 0.765625] [adversarial loss: 0.973286, acc: 0.343750] 4744: [discriminator loss: 0.628422, acc: 0.625000] [adversarial loss: 1.502534, acc: 0.109375] 4745: [discriminator loss: 0.546701, acc: 0.703125] [adversarial loss: 1.020871, acc: 0.281250] 4746: [discriminator loss: 0.591181, acc: 0.679688] [adversarial loss: 1.186703, acc: 0.171875] 4747: [discriminator loss: 0.547720, acc: 0.695312] [adversarial loss: 1.201291, acc: 0.218750] 4748: [discriminator loss: 0.585020, acc: 0.664062] [adversarial loss: 1.381472, acc: 0.125000] 4749: [discriminator loss: 0.588834, acc: 0.695312] [adversarial loss: 0.890559, acc: 0.359375] 4750: [discriminator loss: 0.553281, acc: 0.710938] [adversarial loss: 1.426533, acc: 0.078125] 4751: [discriminator loss: 0.572014, acc: 0.718750] [adversarial loss: 1.041381, acc: 0.390625] 4752: [discriminator loss: 0.508958, acc: 0.757812] [adversarial loss: 1.344771, acc: 0.187500] 4753: [discriminator loss: 0.604212, acc: 0.695312] [adversarial loss: 1.175239, acc: 0.234375] 4754: [discriminator loss: 0.536248, acc: 0.773438] [adversarial loss: 1.030157, acc: 0.281250] 4755: [discriminator loss: 0.521465, acc: 0.695312] [adversarial loss: 1.239519, acc: 0.140625] 4756: [discriminator loss: 0.549005, acc: 0.726562] [adversarial loss: 1.011273, acc: 0.343750] 4757: [discriminator loss: 0.574510, acc: 0.671875] [adversarial loss: 1.552666, acc: 0.062500] 4758: [discriminator loss: 0.551057, acc: 0.695312] [adversarial loss: 0.841269, acc: 0.515625] 4759: [discriminator loss: 0.547734, acc: 0.695312] [adversarial loss: 1.176026, acc: 0.234375] 4760: [discriminator loss: 0.562048, acc: 0.710938] [adversarial loss: 1.080541, acc: 0.250000] 4761: [discriminator loss: 0.633311, acc: 0.648438] [adversarial loss: 1.117570, acc: 0.218750] 4762: [discriminator loss: 0.540740, acc: 0.703125] [adversarial loss: 1.435015, acc: 0.093750] 4763: [discriminator loss: 0.527243, acc: 0.718750] [adversarial loss: 1.118708, acc: 0.218750] 4764: [discriminator loss: 0.612770, acc: 0.632812] [adversarial loss: 1.334590, acc: 0.203125] 4765: [discriminator loss: 0.527192, acc: 0.750000] [adversarial loss: 0.870093, acc: 0.468750] 4766: [discriminator loss: 0.591112, acc: 0.617188] [adversarial loss: 1.545669, acc: 0.109375] 4767: [discriminator loss: 0.603265, acc: 0.710938] [adversarial loss: 0.783278, acc: 0.484375] 4768: [discriminator loss: 0.545190, acc: 0.750000] [adversarial loss: 1.230244, acc: 0.156250] 4769: [discriminator loss: 0.482812, acc: 0.726562] [adversarial loss: 1.326664, acc: 0.109375] 4770: [discriminator loss: 0.504844, acc: 0.781250] [adversarial loss: 1.174722, acc: 0.234375] 4771: [discriminator loss: 0.450646, acc: 0.828125] [adversarial loss: 1.426039, acc: 0.078125] 4772: [discriminator loss: 0.630479, acc: 0.671875] [adversarial loss: 0.944598, acc: 0.390625] 4773: [discriminator loss: 0.639161, acc: 0.640625] [adversarial loss: 1.363832, acc: 0.125000] 4774: [discriminator loss: 0.517579, acc: 0.773438] [adversarial loss: 1.007866, acc: 0.343750] 4775: [discriminator loss: 0.508689, acc: 0.750000] [adversarial loss: 1.329150, acc: 0.140625] 4776: [discriminator loss: 0.568839, acc: 0.695312] [adversarial loss: 1.106309, acc: 0.328125] 4777: [discriminator loss: 0.523990, acc: 0.757812] [adversarial loss: 1.323383, acc: 0.171875] 4778: [discriminator loss: 0.575815, acc: 0.703125] [adversarial loss: 0.956626, acc: 0.359375] 4779: [discriminator loss: 0.581705, acc: 0.703125] [adversarial loss: 1.158092, acc: 0.296875] 4780: [discriminator loss: 0.596910, acc: 0.750000] [adversarial loss: 1.271537, acc: 0.125000] 4781: [discriminator loss: 0.520813, acc: 0.710938] [adversarial loss: 0.823497, acc: 0.453125] 4782: [discriminator loss: 0.587358, acc: 0.703125] [adversarial loss: 1.145233, acc: 0.250000] 4783: [discriminator loss: 0.505905, acc: 0.750000] [adversarial loss: 0.952647, acc: 0.343750] 4784: [discriminator loss: 0.598156, acc: 0.695312] [adversarial loss: 1.395509, acc: 0.156250] 4785: [discriminator loss: 0.550089, acc: 0.734375] [adversarial loss: 1.106608, acc: 0.312500] 4786: [discriminator loss: 0.517264, acc: 0.718750] [adversarial loss: 1.192445, acc: 0.234375] 4787: [discriminator loss: 0.523329, acc: 0.742188] [adversarial loss: 1.272943, acc: 0.234375] 4788: [discriminator loss: 0.531466, acc: 0.742188] [adversarial loss: 0.977230, acc: 0.328125] 4789: [discriminator loss: 0.555543, acc: 0.695312] [adversarial loss: 1.345315, acc: 0.265625] 4790: [discriminator loss: 0.581022, acc: 0.687500] [adversarial loss: 1.141431, acc: 0.250000] 4791: [discriminator loss: 0.574951, acc: 0.757812] [adversarial loss: 1.098741, acc: 0.203125] 4792: [discriminator loss: 0.571277, acc: 0.710938] [adversarial loss: 1.162242, acc: 0.281250] 4793: [discriminator loss: 0.592343, acc: 0.703125] [adversarial loss: 0.867245, acc: 0.406250] 4794: [discriminator loss: 0.580324, acc: 0.671875] [adversarial loss: 1.798274, acc: 0.062500] 4795: [discriminator loss: 0.574147, acc: 0.695312] [adversarial loss: 0.859304, acc: 0.484375] 4796: [discriminator loss: 0.549237, acc: 0.703125] [adversarial loss: 1.150956, acc: 0.171875] 4797: [discriminator loss: 0.599241, acc: 0.687500] [adversarial loss: 1.084941, acc: 0.265625] 4798: [discriminator loss: 0.548813, acc: 0.734375] [adversarial loss: 1.187535, acc: 0.234375] 4799: [discriminator loss: 0.509470, acc: 0.742188] [adversarial loss: 1.464686, acc: 0.140625] 4800: [discriminator loss: 0.635669, acc: 0.640625] [adversarial loss: 0.887076, acc: 0.328125] 4801: [discriminator loss: 0.527726, acc: 0.726562] [adversarial loss: 1.371771, acc: 0.125000] 4802: [discriminator loss: 0.551394, acc: 0.710938] [adversarial loss: 0.912211, acc: 0.390625] 4803: [discriminator loss: 0.558831, acc: 0.726562] [adversarial loss: 1.306156, acc: 0.171875] 4804: [discriminator loss: 0.537509, acc: 0.679688] [adversarial loss: 1.051944, acc: 0.312500] 4805: [discriminator loss: 0.524595, acc: 0.734375] [adversarial loss: 1.210454, acc: 0.187500] 4806: [discriminator loss: 0.547632, acc: 0.710938] [adversarial loss: 0.994349, acc: 0.328125] 4807: [discriminator loss: 0.580625, acc: 0.664062] [adversarial loss: 1.466447, acc: 0.093750] 4808: [discriminator loss: 0.584819, acc: 0.671875] [adversarial loss: 0.761354, acc: 0.531250] 4809: [discriminator loss: 0.598453, acc: 0.640625] [adversarial loss: 1.567316, acc: 0.078125] 4810: [discriminator loss: 0.584344, acc: 0.687500] [adversarial loss: 0.947261, acc: 0.390625] 4811: [discriminator loss: 0.595061, acc: 0.671875] [adversarial loss: 1.133939, acc: 0.250000] 4812: [discriminator loss: 0.539111, acc: 0.726562] [adversarial loss: 1.187111, acc: 0.171875] 4813: [discriminator loss: 0.562606, acc: 0.718750] [adversarial loss: 1.167794, acc: 0.187500] 4814: [discriminator loss: 0.479601, acc: 0.804688] [adversarial loss: 1.040206, acc: 0.328125] 4815: [discriminator loss: 0.532180, acc: 0.734375] [adversarial loss: 1.270725, acc: 0.203125] 4816: [discriminator loss: 0.537289, acc: 0.703125] [adversarial loss: 1.016014, acc: 0.312500] 4817: [discriminator loss: 0.577639, acc: 0.664062] [adversarial loss: 0.947084, acc: 0.375000] 4818: [discriminator loss: 0.533096, acc: 0.718750] [adversarial loss: 1.438567, acc: 0.156250] 4819: [discriminator loss: 0.541696, acc: 0.703125] [adversarial loss: 0.920751, acc: 0.375000] 4820: [discriminator loss: 0.512360, acc: 0.765625] [adversarial loss: 1.557461, acc: 0.093750] 4821: [discriminator loss: 0.553710, acc: 0.703125] [adversarial loss: 0.941665, acc: 0.390625] 4822: [discriminator loss: 0.479072, acc: 0.750000] [adversarial loss: 1.296206, acc: 0.187500] 4823: [discriminator loss: 0.612612, acc: 0.632812] [adversarial loss: 0.777667, acc: 0.453125] 4824: [discriminator loss: 0.605042, acc: 0.648438] [adversarial loss: 1.544342, acc: 0.062500] 4825: [discriminator loss: 0.634551, acc: 0.625000] [adversarial loss: 0.996780, acc: 0.296875] 4826: [discriminator loss: 0.615422, acc: 0.671875] [adversarial loss: 1.150387, acc: 0.203125] 4827: [discriminator loss: 0.539503, acc: 0.718750] [adversarial loss: 1.366765, acc: 0.171875] 4828: [discriminator loss: 0.516835, acc: 0.734375] [adversarial loss: 1.088995, acc: 0.296875] 4829: [discriminator loss: 0.617198, acc: 0.664062] [adversarial loss: 1.101702, acc: 0.296875] 4830: [discriminator loss: 0.628330, acc: 0.679688] [adversarial loss: 1.064959, acc: 0.250000] 4831: [discriminator loss: 0.508973, acc: 0.765625] [adversarial loss: 1.087389, acc: 0.234375] 4832: [discriminator loss: 0.513311, acc: 0.703125] [adversarial loss: 1.207355, acc: 0.265625] 4833: [discriminator loss: 0.540753, acc: 0.726562] [adversarial loss: 1.232109, acc: 0.171875] 4834: [discriminator loss: 0.517044, acc: 0.765625] [adversarial loss: 1.130073, acc: 0.171875] 4835: [discriminator loss: 0.490393, acc: 0.765625] [adversarial loss: 1.241809, acc: 0.187500] 4836: [discriminator loss: 0.474172, acc: 0.781250] [adversarial loss: 1.392160, acc: 0.187500] 4837: [discriminator loss: 0.496414, acc: 0.750000] [adversarial loss: 1.139917, acc: 0.250000] 4838: [discriminator loss: 0.557739, acc: 0.679688] [adversarial loss: 1.144149, acc: 0.312500] 4839: [discriminator loss: 0.481603, acc: 0.781250] [adversarial loss: 0.919052, acc: 0.359375] 4840: [discriminator loss: 0.529131, acc: 0.695312] [adversarial loss: 1.476315, acc: 0.062500] 4841: [discriminator loss: 0.557486, acc: 0.718750] [adversarial loss: 0.923971, acc: 0.453125] 4842: [discriminator loss: 0.630767, acc: 0.640625] [adversarial loss: 1.323696, acc: 0.187500] 4843: [discriminator loss: 0.588408, acc: 0.750000] [adversarial loss: 1.172230, acc: 0.187500] 4844: [discriminator loss: 0.545279, acc: 0.703125] [adversarial loss: 1.110720, acc: 0.281250] 4845: [discriminator loss: 0.547165, acc: 0.718750] [adversarial loss: 1.169362, acc: 0.250000] 4846: [discriminator loss: 0.562752, acc: 0.695312] [adversarial loss: 1.239204, acc: 0.218750] 4847: [discriminator loss: 0.568801, acc: 0.679688] [adversarial loss: 0.960452, acc: 0.359375] 4848: [discriminator loss: 0.529876, acc: 0.773438] [adversarial loss: 1.463128, acc: 0.125000] 4849: [discriminator loss: 0.629815, acc: 0.632812] [adversarial loss: 0.778640, acc: 0.531250] 4850: [discriminator loss: 0.693563, acc: 0.601562] [adversarial loss: 1.678270, acc: 0.109375] 4851: [discriminator loss: 0.576342, acc: 0.695312] [adversarial loss: 0.954918, acc: 0.437500] 4852: [discriminator loss: 0.645905, acc: 0.671875] [adversarial loss: 1.336015, acc: 0.093750] 4853: [discriminator loss: 0.566817, acc: 0.703125] [adversarial loss: 1.151042, acc: 0.156250] 4854: [discriminator loss: 0.516231, acc: 0.757812] [adversarial loss: 1.290315, acc: 0.171875] 4855: [discriminator loss: 0.511380, acc: 0.734375] [adversarial loss: 1.220599, acc: 0.171875] 4856: [discriminator loss: 0.571570, acc: 0.710938] [adversarial loss: 1.060485, acc: 0.203125] 4857: [discriminator loss: 0.576982, acc: 0.695312] [adversarial loss: 1.072297, acc: 0.265625] 4858: [discriminator loss: 0.546571, acc: 0.679688] [adversarial loss: 1.264531, acc: 0.140625] 4859: [discriminator loss: 0.587589, acc: 0.679688] [adversarial loss: 1.172691, acc: 0.187500] 4860: [discriminator loss: 0.533164, acc: 0.718750] [adversarial loss: 1.109494, acc: 0.171875] 4861: [discriminator loss: 0.570159, acc: 0.695312] [adversarial loss: 1.076025, acc: 0.218750] 4862: [discriminator loss: 0.530246, acc: 0.734375] [adversarial loss: 1.216448, acc: 0.218750] 4863: [discriminator loss: 0.607257, acc: 0.679688] [adversarial loss: 0.947311, acc: 0.343750] 4864: [discriminator loss: 0.548768, acc: 0.734375] [adversarial loss: 1.238419, acc: 0.218750] 4865: [discriminator loss: 0.506421, acc: 0.765625] [adversarial loss: 1.271439, acc: 0.156250] 4866: [discriminator loss: 0.514584, acc: 0.718750] [adversarial loss: 1.050402, acc: 0.312500] 4867: [discriminator loss: 0.597228, acc: 0.703125] [adversarial loss: 1.554183, acc: 0.078125] 4868: [discriminator loss: 0.554631, acc: 0.710938] [adversarial loss: 0.823868, acc: 0.468750] 4869: [discriminator loss: 0.519088, acc: 0.742188] [adversarial loss: 1.496581, acc: 0.109375] 4870: [discriminator loss: 0.498847, acc: 0.765625] [adversarial loss: 0.885700, acc: 0.453125] 4871: [discriminator loss: 0.534849, acc: 0.695312] [adversarial loss: 1.343889, acc: 0.203125] 4872: [discriminator loss: 0.498084, acc: 0.757812] [adversarial loss: 1.077250, acc: 0.359375] 4873: [discriminator loss: 0.508184, acc: 0.750000] [adversarial loss: 1.270671, acc: 0.125000] 4874: [discriminator loss: 0.514763, acc: 0.726562] [adversarial loss: 0.852830, acc: 0.406250] 4875: [discriminator loss: 0.518636, acc: 0.750000] [adversarial loss: 1.285689, acc: 0.296875] 4876: [discriminator loss: 0.565252, acc: 0.742188] [adversarial loss: 1.088096, acc: 0.265625] 4877: [discriminator loss: 0.581984, acc: 0.710938] [adversarial loss: 1.095915, acc: 0.359375] 4878: [discriminator loss: 0.530290, acc: 0.757812] [adversarial loss: 1.271303, acc: 0.234375] 4879: [discriminator loss: 0.613518, acc: 0.671875] [adversarial loss: 1.127751, acc: 0.281250] 4880: [discriminator loss: 0.556698, acc: 0.742188] [adversarial loss: 1.207528, acc: 0.234375] 4881: [discriminator loss: 0.564415, acc: 0.718750] [adversarial loss: 1.230184, acc: 0.187500] 4882: [discriminator loss: 0.576589, acc: 0.679688] [adversarial loss: 0.813767, acc: 0.421875] 4883: [discriminator loss: 0.560102, acc: 0.703125] [adversarial loss: 1.400264, acc: 0.171875] 4884: [discriminator loss: 0.590926, acc: 0.710938] [adversarial loss: 0.931158, acc: 0.453125] 4885: [discriminator loss: 0.542789, acc: 0.718750] [adversarial loss: 1.536550, acc: 0.093750] 4886: [discriminator loss: 0.561284, acc: 0.742188] [adversarial loss: 1.011238, acc: 0.328125] 4887: [discriminator loss: 0.526585, acc: 0.718750] [adversarial loss: 1.281804, acc: 0.218750] 4888: [discriminator loss: 0.534610, acc: 0.703125] [adversarial loss: 1.368592, acc: 0.109375] 4889: [discriminator loss: 0.503954, acc: 0.710938] [adversarial loss: 0.974867, acc: 0.281250] 4890: [discriminator loss: 0.527880, acc: 0.734375] [adversarial loss: 1.229059, acc: 0.203125] 4891: [discriminator loss: 0.496984, acc: 0.750000] [adversarial loss: 1.027835, acc: 0.187500] 4892: [discriminator loss: 0.479868, acc: 0.781250] [adversarial loss: 1.493064, acc: 0.125000] 4893: [discriminator loss: 0.624058, acc: 0.664062] [adversarial loss: 1.023643, acc: 0.343750] 4894: [discriminator loss: 0.585050, acc: 0.679688] [adversarial loss: 1.127542, acc: 0.234375] 4895: [discriminator loss: 0.537767, acc: 0.656250] [adversarial loss: 1.200442, acc: 0.218750] 4896: [discriminator loss: 0.526401, acc: 0.695312] [adversarial loss: 0.999297, acc: 0.390625] 4897: [discriminator loss: 0.532557, acc: 0.710938] [adversarial loss: 1.453578, acc: 0.171875] 4898: [discriminator loss: 0.622676, acc: 0.632812] [adversarial loss: 0.882794, acc: 0.437500] 4899: [discriminator loss: 0.580998, acc: 0.718750] [adversarial loss: 1.747673, acc: 0.140625] 4900: [discriminator loss: 0.629685, acc: 0.695312] [adversarial loss: 0.795061, acc: 0.453125] 4901: [discriminator loss: 0.614059, acc: 0.671875] [adversarial loss: 1.334551, acc: 0.203125] 4902: [discriminator loss: 0.463731, acc: 0.796875] [adversarial loss: 1.182316, acc: 0.265625] 4903: [discriminator loss: 0.537533, acc: 0.695312] [adversarial loss: 1.089373, acc: 0.343750] 4904: [discriminator loss: 0.650088, acc: 0.671875] [adversarial loss: 1.268355, acc: 0.187500] 4905: [discriminator loss: 0.606062, acc: 0.695312] [adversarial loss: 1.092645, acc: 0.312500] 4906: [discriminator loss: 0.557672, acc: 0.687500] [adversarial loss: 1.317012, acc: 0.187500] 4907: [discriminator loss: 0.479447, acc: 0.804688] [adversarial loss: 1.072521, acc: 0.328125] 4908: [discriminator loss: 0.538070, acc: 0.750000] [adversarial loss: 1.092206, acc: 0.296875] 4909: [discriminator loss: 0.564673, acc: 0.742188] [adversarial loss: 1.111318, acc: 0.343750] 4910: [discriminator loss: 0.537072, acc: 0.750000] [adversarial loss: 1.424710, acc: 0.140625] 4911: [discriminator loss: 0.586782, acc: 0.695312] [adversarial loss: 0.911511, acc: 0.359375] 4912: [discriminator loss: 0.573106, acc: 0.687500] [adversarial loss: 1.410420, acc: 0.109375] 4913: [discriminator loss: 0.605113, acc: 0.679688] [adversarial loss: 1.139750, acc: 0.234375] 4914: [discriminator loss: 0.590542, acc: 0.671875] [adversarial loss: 1.451486, acc: 0.109375] 4915: [discriminator loss: 0.560851, acc: 0.718750] [adversarial loss: 0.984872, acc: 0.343750] 4916: [discriminator loss: 0.509116, acc: 0.773438] [adversarial loss: 1.317804, acc: 0.187500] 4917: [discriminator loss: 0.540353, acc: 0.734375] [adversarial loss: 1.044616, acc: 0.328125] 4918: [discriminator loss: 0.572790, acc: 0.757812] [adversarial loss: 1.232143, acc: 0.156250] 4919: [discriminator loss: 0.568613, acc: 0.664062] [adversarial loss: 1.193367, acc: 0.234375] 4920: [discriminator loss: 0.610140, acc: 0.679688] [adversarial loss: 1.515026, acc: 0.078125] 4921: [discriminator loss: 0.557290, acc: 0.703125] [adversarial loss: 0.854675, acc: 0.406250] 4922: [discriminator loss: 0.588319, acc: 0.671875] [adversarial loss: 1.375911, acc: 0.250000] 4923: [discriminator loss: 0.572003, acc: 0.726562] [adversarial loss: 1.025725, acc: 0.296875] 4924: [discriminator loss: 0.449737, acc: 0.804688] [adversarial loss: 1.096755, acc: 0.312500] 4925: [discriminator loss: 0.534673, acc: 0.710938] [adversarial loss: 1.320432, acc: 0.140625] 4926: [discriminator loss: 0.560842, acc: 0.687500] [adversarial loss: 1.289712, acc: 0.140625] 4927: [discriminator loss: 0.616897, acc: 0.664062] [adversarial loss: 1.368996, acc: 0.109375] 4928: [discriminator loss: 0.599672, acc: 0.679688] [adversarial loss: 0.844603, acc: 0.421875] 4929: [discriminator loss: 0.526946, acc: 0.750000] [adversarial loss: 1.115165, acc: 0.250000] 4930: [discriminator loss: 0.496925, acc: 0.710938] [adversarial loss: 1.166706, acc: 0.187500] 4931: [discriminator loss: 0.606713, acc: 0.656250] [adversarial loss: 1.285899, acc: 0.265625] 4932: [discriminator loss: 0.548054, acc: 0.710938] [adversarial loss: 1.195809, acc: 0.187500] 4933: [discriminator loss: 0.645390, acc: 0.656250] [adversarial loss: 0.942832, acc: 0.359375] 4934: [discriminator loss: 0.553864, acc: 0.742188] [adversarial loss: 0.967085, acc: 0.390625] 4935: [discriminator loss: 0.530409, acc: 0.773438] [adversarial loss: 1.292366, acc: 0.156250] 4936: [discriminator loss: 0.548279, acc: 0.742188] [adversarial loss: 0.896836, acc: 0.375000] 4937: [discriminator loss: 0.481076, acc: 0.765625] [adversarial loss: 1.275790, acc: 0.203125] 4938: [discriminator loss: 0.525082, acc: 0.773438] [adversarial loss: 1.235131, acc: 0.156250] 4939: [discriminator loss: 0.516884, acc: 0.765625] [adversarial loss: 1.271133, acc: 0.250000] 4940: [discriminator loss: 0.587334, acc: 0.640625] [adversarial loss: 0.933807, acc: 0.406250] 4941: [discriminator loss: 0.464408, acc: 0.804688] [adversarial loss: 1.261320, acc: 0.140625] 4942: [discriminator loss: 0.570090, acc: 0.718750] [adversarial loss: 0.993471, acc: 0.328125] 4943: [discriminator loss: 0.597509, acc: 0.703125] [adversarial loss: 1.563390, acc: 0.093750] 4944: [discriminator loss: 0.655405, acc: 0.640625] [adversarial loss: 0.936447, acc: 0.437500] 4945: [discriminator loss: 0.485676, acc: 0.773438] [adversarial loss: 1.319334, acc: 0.156250] 4946: [discriminator loss: 0.549654, acc: 0.750000] [adversarial loss: 1.289228, acc: 0.281250] 4947: [discriminator loss: 0.590894, acc: 0.742188] [adversarial loss: 0.912589, acc: 0.328125] 4948: [discriminator loss: 0.581393, acc: 0.710938] [adversarial loss: 1.103777, acc: 0.281250] 4949: [discriminator loss: 0.633922, acc: 0.656250] [adversarial loss: 1.110219, acc: 0.234375] 4950: [discriminator loss: 0.582030, acc: 0.695312] [adversarial loss: 1.112784, acc: 0.265625] 4951: [discriminator loss: 0.482434, acc: 0.796875] [adversarial loss: 1.098805, acc: 0.250000] 4952: [discriminator loss: 0.578166, acc: 0.671875] [adversarial loss: 1.237069, acc: 0.171875] 4953: [discriminator loss: 0.532360, acc: 0.750000] [adversarial loss: 1.062427, acc: 0.312500] 4954: [discriminator loss: 0.478651, acc: 0.820312] [adversarial loss: 1.331279, acc: 0.171875] 4955: [discriminator loss: 0.439407, acc: 0.804688] [adversarial loss: 1.375649, acc: 0.140625] 4956: [discriminator loss: 0.564183, acc: 0.726562] [adversarial loss: 1.689186, acc: 0.093750] 4957: [discriminator loss: 0.559355, acc: 0.765625] [adversarial loss: 0.786211, acc: 0.531250] 4958: [discriminator loss: 0.586513, acc: 0.710938] [adversarial loss: 1.623803, acc: 0.171875] 4959: [discriminator loss: 0.621085, acc: 0.664062] [adversarial loss: 0.862596, acc: 0.390625] 4960: [discriminator loss: 0.555716, acc: 0.718750] [adversarial loss: 1.380539, acc: 0.093750] 4961: [discriminator loss: 0.639121, acc: 0.679688] [adversarial loss: 0.868756, acc: 0.406250] 4962: [discriminator loss: 0.507662, acc: 0.734375] [adversarial loss: 1.277980, acc: 0.234375] 4963: [discriminator loss: 0.471630, acc: 0.804688] [adversarial loss: 1.019651, acc: 0.343750] 4964: [discriminator loss: 0.587743, acc: 0.671875] [adversarial loss: 0.963418, acc: 0.359375] 4965: [discriminator loss: 0.515791, acc: 0.710938] [adversarial loss: 1.228013, acc: 0.203125] 4966: [discriminator loss: 0.545992, acc: 0.695312] [adversarial loss: 0.864325, acc: 0.375000] 4967: [discriminator loss: 0.563182, acc: 0.710938] [adversarial loss: 1.330096, acc: 0.078125] 4968: [discriminator loss: 0.549326, acc: 0.718750] [adversarial loss: 1.179382, acc: 0.265625] 4969: [discriminator loss: 0.534074, acc: 0.710938] [adversarial loss: 1.427389, acc: 0.125000] 4970: [discriminator loss: 0.581531, acc: 0.679688] [adversarial loss: 1.189959, acc: 0.234375] 4971: [discriminator loss: 0.548076, acc: 0.726562] [adversarial loss: 1.069659, acc: 0.296875] 4972: [discriminator loss: 0.583457, acc: 0.679688] [adversarial loss: 1.277556, acc: 0.171875] 4973: [discriminator loss: 0.561184, acc: 0.726562] [adversarial loss: 0.947719, acc: 0.328125] 4974: [discriminator loss: 0.568535, acc: 0.679688] [adversarial loss: 1.557064, acc: 0.125000] 4975: [discriminator loss: 0.595983, acc: 0.687500] [adversarial loss: 0.984720, acc: 0.328125] 4976: [discriminator loss: 0.589881, acc: 0.679688] [adversarial loss: 1.294802, acc: 0.171875] 4977: [discriminator loss: 0.585221, acc: 0.726562] [adversarial loss: 1.010837, acc: 0.281250] 4978: [discriminator loss: 0.537609, acc: 0.718750] [adversarial loss: 1.454842, acc: 0.093750] 4979: [discriminator loss: 0.577297, acc: 0.687500] [adversarial loss: 0.888365, acc: 0.406250] 4980: [discriminator loss: 0.494389, acc: 0.750000] [adversarial loss: 1.345013, acc: 0.093750] 4981: [discriminator loss: 0.522758, acc: 0.726562] [adversarial loss: 0.915538, acc: 0.390625] 4982: [discriminator loss: 0.496781, acc: 0.765625] [adversarial loss: 1.262607, acc: 0.156250] 4983: [discriminator loss: 0.570405, acc: 0.656250] [adversarial loss: 1.152766, acc: 0.187500] 4984: [discriminator loss: 0.563620, acc: 0.679688] [adversarial loss: 1.083141, acc: 0.312500] 4985: [discriminator loss: 0.540688, acc: 0.695312] [adversarial loss: 1.293077, acc: 0.140625] 4986: [discriminator loss: 0.515193, acc: 0.773438] [adversarial loss: 0.985524, acc: 0.390625] 4987: [discriminator loss: 0.615122, acc: 0.664062] [adversarial loss: 1.049331, acc: 0.265625] 4988: [discriminator loss: 0.573932, acc: 0.718750] [adversarial loss: 1.030569, acc: 0.312500] 4989: [discriminator loss: 0.508572, acc: 0.789062] [adversarial loss: 1.001092, acc: 0.281250] 4990: [discriminator loss: 0.563074, acc: 0.710938] [adversarial loss: 1.293509, acc: 0.171875] 4991: [discriminator loss: 0.531447, acc: 0.742188] [adversarial loss: 1.130253, acc: 0.265625] 4992: [discriminator loss: 0.572931, acc: 0.648438] [adversarial loss: 1.384756, acc: 0.187500] 4993: [discriminator loss: 0.557692, acc: 0.671875] [adversarial loss: 1.039808, acc: 0.296875] 4994: [discriminator loss: 0.573856, acc: 0.710938] [adversarial loss: 1.478456, acc: 0.140625] 4995: [discriminator loss: 0.646924, acc: 0.625000] [adversarial loss: 0.995298, acc: 0.421875] 4996: [discriminator loss: 0.560602, acc: 0.664062] [adversarial loss: 1.378847, acc: 0.203125] 4997: [discriminator loss: 0.552763, acc: 0.710938] [adversarial loss: 1.122204, acc: 0.265625] 4998: [discriminator loss: 0.485977, acc: 0.789062] [adversarial loss: 1.021029, acc: 0.250000] 4999: [discriminator loss: 0.517521, acc: 0.726562] [adversarial loss: 1.243117, acc: 0.187500] 5000: [discriminator loss: 0.516195, acc: 0.765625] [adversarial loss: 1.011647, acc: 0.375000] 5001: [discriminator loss: 0.564769, acc: 0.695312] [adversarial loss: 1.332178, acc: 0.203125] 5002: [discriminator loss: 0.488344, acc: 0.781250] [adversarial loss: 0.942437, acc: 0.359375] 5003: [discriminator loss: 0.520164, acc: 0.734375] [adversarial loss: 1.140585, acc: 0.203125] 5004: [discriminator loss: 0.515239, acc: 0.773438] [adversarial loss: 1.266275, acc: 0.203125] 5005: [discriminator loss: 0.613232, acc: 0.695312] [adversarial loss: 0.998416, acc: 0.343750] 5006: [discriminator loss: 0.579271, acc: 0.703125] [adversarial loss: 1.446335, acc: 0.187500] 5007: [discriminator loss: 0.564037, acc: 0.695312] [adversarial loss: 0.651201, acc: 0.609375] 5008: [discriminator loss: 0.558710, acc: 0.742188] [adversarial loss: 1.554501, acc: 0.078125] 5009: [discriminator loss: 0.565793, acc: 0.726562] [adversarial loss: 1.153653, acc: 0.265625] 5010: [discriminator loss: 0.546615, acc: 0.703125] [adversarial loss: 1.393885, acc: 0.156250] 5011: [discriminator loss: 0.554578, acc: 0.718750] [adversarial loss: 0.924550, acc: 0.421875] 5012: [discriminator loss: 0.552043, acc: 0.757812] [adversarial loss: 1.302684, acc: 0.171875] 5013: [discriminator loss: 0.620457, acc: 0.679688] [adversarial loss: 0.883485, acc: 0.468750] 5014: [discriminator loss: 0.551423, acc: 0.750000] [adversarial loss: 1.389133, acc: 0.156250] 5015: [discriminator loss: 0.586644, acc: 0.726562] [adversarial loss: 1.112960, acc: 0.187500] 5016: [discriminator loss: 0.517196, acc: 0.726562] [adversarial loss: 1.433514, acc: 0.125000] 5017: [discriminator loss: 0.570788, acc: 0.718750] [adversarial loss: 1.104703, acc: 0.234375] 5018: [discriminator loss: 0.504326, acc: 0.750000] [adversarial loss: 1.362107, acc: 0.109375] 5019: [discriminator loss: 0.531218, acc: 0.703125] [adversarial loss: 0.916503, acc: 0.437500] 5020: [discriminator loss: 0.549124, acc: 0.742188] [adversarial loss: 1.427791, acc: 0.093750] 5021: [discriminator loss: 0.601025, acc: 0.656250] [adversarial loss: 0.837263, acc: 0.453125] 5022: [discriminator loss: 0.634445, acc: 0.648438] [adversarial loss: 1.312655, acc: 0.203125] 5023: [discriminator loss: 0.578531, acc: 0.679688] [adversarial loss: 0.895307, acc: 0.515625] 5024: [discriminator loss: 0.583408, acc: 0.695312] [adversarial loss: 1.576195, acc: 0.062500] 5025: [discriminator loss: 0.525680, acc: 0.742188] [adversarial loss: 0.861357, acc: 0.437500] 5026: [discriminator loss: 0.508655, acc: 0.765625] [adversarial loss: 1.536419, acc: 0.093750] 5027: [discriminator loss: 0.548042, acc: 0.718750] [adversarial loss: 1.153105, acc: 0.265625] 5028: [discriminator loss: 0.514722, acc: 0.742188] [adversarial loss: 1.078106, acc: 0.234375] 5029: [discriminator loss: 0.544397, acc: 0.718750] [adversarial loss: 1.244386, acc: 0.250000] 5030: [discriminator loss: 0.577508, acc: 0.687500] [adversarial loss: 1.182729, acc: 0.218750] 5031: [discriminator loss: 0.535206, acc: 0.710938] [adversarial loss: 1.380960, acc: 0.125000] 5032: [discriminator loss: 0.512144, acc: 0.757812] [adversarial loss: 1.194841, acc: 0.187500] 5033: [discriminator loss: 0.596757, acc: 0.679688] [adversarial loss: 1.045119, acc: 0.234375] 5034: [discriminator loss: 0.537874, acc: 0.750000] [adversarial loss: 1.025757, acc: 0.296875] 5035: [discriminator loss: 0.559124, acc: 0.757812] [adversarial loss: 1.310527, acc: 0.171875] 5036: [discriminator loss: 0.571423, acc: 0.656250] [adversarial loss: 1.004982, acc: 0.250000] 5037: [discriminator loss: 0.505927, acc: 0.781250] [adversarial loss: 1.249804, acc: 0.187500] 5038: [discriminator loss: 0.490292, acc: 0.750000] [adversarial loss: 1.188047, acc: 0.187500] 5039: [discriminator loss: 0.597280, acc: 0.664062] [adversarial loss: 1.123731, acc: 0.156250] 5040: [discriminator loss: 0.487083, acc: 0.789062] [adversarial loss: 1.261093, acc: 0.109375] 5041: [discriminator loss: 0.447908, acc: 0.789062] [adversarial loss: 1.182624, acc: 0.312500] 5042: [discriminator loss: 0.582678, acc: 0.687500] [adversarial loss: 1.489023, acc: 0.156250] 5043: [discriminator loss: 0.552924, acc: 0.695312] [adversarial loss: 1.027443, acc: 0.312500] 5044: [discriminator loss: 0.510670, acc: 0.765625] [adversarial loss: 1.207791, acc: 0.156250] 5045: [discriminator loss: 0.613972, acc: 0.656250] [adversarial loss: 0.828140, acc: 0.500000] 5046: [discriminator loss: 0.577596, acc: 0.718750] [adversarial loss: 1.156300, acc: 0.203125] 5047: [discriminator loss: 0.554128, acc: 0.750000] [adversarial loss: 1.000845, acc: 0.281250] 5048: [discriminator loss: 0.590904, acc: 0.664062] [adversarial loss: 1.523561, acc: 0.140625] 5049: [discriminator loss: 0.575431, acc: 0.703125] [adversarial loss: 0.818525, acc: 0.484375] 5050: [discriminator loss: 0.555323, acc: 0.687500] [adversarial loss: 1.661036, acc: 0.093750] 5051: [discriminator loss: 0.617704, acc: 0.648438] [adversarial loss: 0.800124, acc: 0.453125] 5052: [discriminator loss: 0.590949, acc: 0.656250] [adversarial loss: 1.516227, acc: 0.140625] 5053: [discriminator loss: 0.530945, acc: 0.742188] [adversarial loss: 0.996019, acc: 0.328125] 5054: [discriminator loss: 0.525220, acc: 0.734375] [adversarial loss: 1.405416, acc: 0.140625] 5055: [discriminator loss: 0.564522, acc: 0.687500] [adversarial loss: 0.976860, acc: 0.343750] 5056: [discriminator loss: 0.513166, acc: 0.796875] [adversarial loss: 1.284903, acc: 0.140625] 5057: [discriminator loss: 0.523454, acc: 0.718750] [adversarial loss: 1.205410, acc: 0.171875] 5058: [discriminator loss: 0.491900, acc: 0.773438] [adversarial loss: 1.374373, acc: 0.156250] 5059: [discriminator loss: 0.530995, acc: 0.703125] [adversarial loss: 1.226801, acc: 0.187500] 5060: [discriminator loss: 0.551793, acc: 0.695312] [adversarial loss: 1.224770, acc: 0.203125] 5061: [discriminator loss: 0.529922, acc: 0.750000] [adversarial loss: 0.829728, acc: 0.546875] 5062: [discriminator loss: 0.614497, acc: 0.648438] [adversarial loss: 1.473443, acc: 0.109375] 5063: [discriminator loss: 0.647909, acc: 0.625000] [adversarial loss: 1.072791, acc: 0.296875] 5064: [discriminator loss: 0.612135, acc: 0.648438] [adversarial loss: 1.388030, acc: 0.171875] 5065: [discriminator loss: 0.594218, acc: 0.632812] [adversarial loss: 1.003597, acc: 0.328125] 5066: [discriminator loss: 0.572456, acc: 0.671875] [adversarial loss: 1.338219, acc: 0.109375] 5067: [discriminator loss: 0.565025, acc: 0.750000] [adversarial loss: 0.934299, acc: 0.359375] 5068: [discriminator loss: 0.545202, acc: 0.664062] [adversarial loss: 1.525860, acc: 0.125000] 5069: [discriminator loss: 0.607997, acc: 0.640625] [adversarial loss: 0.903285, acc: 0.468750] 5070: [discriminator loss: 0.562030, acc: 0.703125] [adversarial loss: 1.191991, acc: 0.203125] 5071: [discriminator loss: 0.585480, acc: 0.656250] [adversarial loss: 1.117581, acc: 0.296875] 5072: [discriminator loss: 0.532513, acc: 0.781250] [adversarial loss: 0.909045, acc: 0.375000] 5073: [discriminator loss: 0.546208, acc: 0.710938] [adversarial loss: 1.338980, acc: 0.093750] 5074: [discriminator loss: 0.559513, acc: 0.726562] [adversarial loss: 1.083835, acc: 0.218750] 5075: [discriminator loss: 0.573381, acc: 0.703125] [adversarial loss: 1.415268, acc: 0.093750] 5076: [discriminator loss: 0.506763, acc: 0.734375] [adversarial loss: 1.211200, acc: 0.171875] 5077: [discriminator loss: 0.590808, acc: 0.695312] [adversarial loss: 1.245291, acc: 0.187500] 5078: [discriminator loss: 0.498835, acc: 0.726562] [adversarial loss: 1.191873, acc: 0.125000] 5079: [discriminator loss: 0.486533, acc: 0.812500] [adversarial loss: 1.109174, acc: 0.250000] 5080: [discriminator loss: 0.467452, acc: 0.773438] [adversarial loss: 1.195553, acc: 0.265625] 5081: [discriminator loss: 0.584311, acc: 0.671875] [adversarial loss: 1.068297, acc: 0.312500] 5082: [discriminator loss: 0.543603, acc: 0.742188] [adversarial loss: 1.435655, acc: 0.187500] 5083: [discriminator loss: 0.579669, acc: 0.648438] [adversarial loss: 1.020985, acc: 0.296875] 5084: [discriminator loss: 0.532180, acc: 0.703125] [adversarial loss: 1.045236, acc: 0.390625] 5085: [discriminator loss: 0.555418, acc: 0.703125] [adversarial loss: 1.276543, acc: 0.156250] 5086: [discriminator loss: 0.522484, acc: 0.726562] [adversarial loss: 1.033796, acc: 0.296875] 5087: [discriminator loss: 0.509782, acc: 0.757812] [adversarial loss: 1.578061, acc: 0.015625] 5088: [discriminator loss: 0.560855, acc: 0.710938] [adversarial loss: 0.977482, acc: 0.250000] 5089: [discriminator loss: 0.640780, acc: 0.632812] [adversarial loss: 1.397877, acc: 0.109375] 5090: [discriminator loss: 0.547495, acc: 0.703125] [adversarial loss: 0.856812, acc: 0.437500] 5091: [discriminator loss: 0.539525, acc: 0.695312] [adversarial loss: 1.603151, acc: 0.093750] 5092: [discriminator loss: 0.581029, acc: 0.703125] [adversarial loss: 0.758393, acc: 0.531250] 5093: [discriminator loss: 0.606965, acc: 0.687500] [adversarial loss: 1.504550, acc: 0.125000] 5094: [discriminator loss: 0.581888, acc: 0.679688] [adversarial loss: 1.074580, acc: 0.265625] 5095: [discriminator loss: 0.572517, acc: 0.695312] [adversarial loss: 1.034278, acc: 0.328125] 5096: [discriminator loss: 0.636665, acc: 0.664062] [adversarial loss: 1.207031, acc: 0.187500] 5097: [discriminator loss: 0.514886, acc: 0.757812] [adversarial loss: 1.155151, acc: 0.218750] 5098: [discriminator loss: 0.476237, acc: 0.781250] [adversarial loss: 1.134982, acc: 0.250000] 5099: [discriminator loss: 0.525820, acc: 0.757812] [adversarial loss: 1.147946, acc: 0.250000] 5100: [discriminator loss: 0.533038, acc: 0.734375] [adversarial loss: 0.930885, acc: 0.375000] 5101: [discriminator loss: 0.543886, acc: 0.726562] [adversarial loss: 1.270584, acc: 0.250000] 5102: [discriminator loss: 0.570248, acc: 0.710938] [adversarial loss: 1.098397, acc: 0.281250] 5103: [discriminator loss: 0.607687, acc: 0.640625] [adversarial loss: 1.229898, acc: 0.140625] 5104: [discriminator loss: 0.635910, acc: 0.609375] [adversarial loss: 1.201301, acc: 0.312500] 5105: [discriminator loss: 0.627264, acc: 0.710938] [adversarial loss: 1.106279, acc: 0.312500] 5106: [discriminator loss: 0.543614, acc: 0.703125] [adversarial loss: 1.073572, acc: 0.218750] 5107: [discriminator loss: 0.523982, acc: 0.718750] [adversarial loss: 1.196311, acc: 0.125000] 5108: [discriminator loss: 0.542805, acc: 0.703125] [adversarial loss: 1.026944, acc: 0.296875] 5109: [discriminator loss: 0.551516, acc: 0.726562] [adversarial loss: 1.329006, acc: 0.125000] 5110: [discriminator loss: 0.565134, acc: 0.726562] [adversarial loss: 0.955900, acc: 0.359375] 5111: [discriminator loss: 0.584607, acc: 0.664062] [adversarial loss: 1.464270, acc: 0.156250] 5112: [discriminator loss: 0.558750, acc: 0.710938] [adversarial loss: 0.984373, acc: 0.343750] 5113: [discriminator loss: 0.519656, acc: 0.742188] [adversarial loss: 1.480563, acc: 0.125000] 5114: [discriminator loss: 0.551570, acc: 0.679688] [adversarial loss: 1.033281, acc: 0.265625] 5115: [discriminator loss: 0.575598, acc: 0.710938] [adversarial loss: 1.077018, acc: 0.203125] 5116: [discriminator loss: 0.553500, acc: 0.703125] [adversarial loss: 1.282245, acc: 0.218750] 5117: [discriminator loss: 0.538784, acc: 0.718750] [adversarial loss: 1.267295, acc: 0.218750] 5118: [discriminator loss: 0.627677, acc: 0.656250] [adversarial loss: 1.151819, acc: 0.156250] 5119: [discriminator loss: 0.597044, acc: 0.695312] [adversarial loss: 1.138207, acc: 0.218750] 5120: [discriminator loss: 0.603701, acc: 0.640625] [adversarial loss: 1.134836, acc: 0.218750] 5121: [discriminator loss: 0.568558, acc: 0.710938] [adversarial loss: 1.081595, acc: 0.250000] 5122: [discriminator loss: 0.480056, acc: 0.757812] [adversarial loss: 1.162395, acc: 0.156250] 5123: [discriminator loss: 0.568108, acc: 0.710938] [adversarial loss: 1.307133, acc: 0.203125] 5124: [discriminator loss: 0.552498, acc: 0.687500] [adversarial loss: 0.815885, acc: 0.453125] 5125: [discriminator loss: 0.595540, acc: 0.671875] [adversarial loss: 1.481501, acc: 0.046875] 5126: [discriminator loss: 0.615207, acc: 0.671875] [adversarial loss: 0.963999, acc: 0.343750] 5127: [discriminator loss: 0.544443, acc: 0.703125] [adversarial loss: 1.092225, acc: 0.234375] 5128: [discriminator loss: 0.520803, acc: 0.750000] [adversarial loss: 1.154454, acc: 0.265625] 5129: [discriminator loss: 0.495055, acc: 0.742188] [adversarial loss: 1.314324, acc: 0.171875] 5130: [discriminator loss: 0.547840, acc: 0.687500] [adversarial loss: 1.301157, acc: 0.171875] 5131: [discriminator loss: 0.584364, acc: 0.734375] [adversarial loss: 1.108759, acc: 0.265625] 5132: [discriminator loss: 0.562630, acc: 0.687500] [adversarial loss: 1.120373, acc: 0.234375] 5133: [discriminator loss: 0.606150, acc: 0.625000] [adversarial loss: 1.203151, acc: 0.218750] 5134: [discriminator loss: 0.532413, acc: 0.765625] [adversarial loss: 1.150000, acc: 0.234375] 5135: [discriminator loss: 0.527660, acc: 0.703125] [adversarial loss: 1.481395, acc: 0.140625] 5136: [discriminator loss: 0.569409, acc: 0.710938] [adversarial loss: 1.016759, acc: 0.375000] 5137: [discriminator loss: 0.528408, acc: 0.757812] [adversarial loss: 0.989981, acc: 0.328125] 5138: [discriminator loss: 0.572296, acc: 0.726562] [adversarial loss: 0.887182, acc: 0.375000] 5139: [discriminator loss: 0.518900, acc: 0.742188] [adversarial loss: 1.058897, acc: 0.281250] 5140: [discriminator loss: 0.559956, acc: 0.695312] [adversarial loss: 1.000286, acc: 0.359375] 5141: [discriminator loss: 0.565817, acc: 0.687500] [adversarial loss: 1.555730, acc: 0.078125] 5142: [discriminator loss: 0.542435, acc: 0.734375] [adversarial loss: 1.007288, acc: 0.281250] 5143: [discriminator loss: 0.526643, acc: 0.750000] [adversarial loss: 1.527924, acc: 0.156250] 5144: [discriminator loss: 0.543810, acc: 0.750000] [adversarial loss: 0.780142, acc: 0.500000] 5145: [discriminator loss: 0.580157, acc: 0.679688] [adversarial loss: 1.656575, acc: 0.093750] 5146: [discriminator loss: 0.678567, acc: 0.617188] [adversarial loss: 0.819740, acc: 0.437500] 5147: [discriminator loss: 0.624514, acc: 0.656250] [adversarial loss: 1.275390, acc: 0.140625] 5148: [discriminator loss: 0.550989, acc: 0.703125] [adversarial loss: 1.251936, acc: 0.171875] 5149: [discriminator loss: 0.506321, acc: 0.765625] [adversarial loss: 1.092152, acc: 0.312500] 5150: [discriminator loss: 0.583965, acc: 0.640625] [adversarial loss: 1.183225, acc: 0.156250] 5151: [discriminator loss: 0.607411, acc: 0.617188] [adversarial loss: 0.979576, acc: 0.312500] 5152: [discriminator loss: 0.509577, acc: 0.773438] [adversarial loss: 1.183610, acc: 0.140625] 5153: [discriminator loss: 0.621195, acc: 0.632812] [adversarial loss: 1.043914, acc: 0.281250] 5154: [discriminator loss: 0.581981, acc: 0.703125] [adversarial loss: 1.282813, acc: 0.140625] 5155: [discriminator loss: 0.517889, acc: 0.742188] [adversarial loss: 0.985747, acc: 0.296875] 5156: [discriminator loss: 0.554895, acc: 0.710938] [adversarial loss: 1.188170, acc: 0.156250] 5157: [discriminator loss: 0.541461, acc: 0.687500] [adversarial loss: 1.006742, acc: 0.296875] 5158: [discriminator loss: 0.558270, acc: 0.718750] [adversarial loss: 1.356419, acc: 0.171875] 5159: [discriminator loss: 0.593307, acc: 0.640625] [adversarial loss: 1.027961, acc: 0.343750] 5160: [discriminator loss: 0.516481, acc: 0.742188] [adversarial loss: 1.047506, acc: 0.281250] 5161: [discriminator loss: 0.468127, acc: 0.750000] [adversarial loss: 1.246773, acc: 0.203125] 5162: [discriminator loss: 0.509522, acc: 0.710938] [adversarial loss: 1.301230, acc: 0.125000] 5163: [discriminator loss: 0.507165, acc: 0.804688] [adversarial loss: 1.286343, acc: 0.171875] 5164: [discriminator loss: 0.550766, acc: 0.718750] [adversarial loss: 1.210497, acc: 0.187500] 5165: [discriminator loss: 0.564594, acc: 0.671875] [adversarial loss: 1.037925, acc: 0.203125] 5166: [discriminator loss: 0.532392, acc: 0.734375] [adversarial loss: 1.112114, acc: 0.296875] 5167: [discriminator loss: 0.527157, acc: 0.710938] [adversarial loss: 1.117172, acc: 0.218750] 5168: [discriminator loss: 0.555569, acc: 0.664062] [adversarial loss: 0.989867, acc: 0.375000] 5169: [discriminator loss: 0.589006, acc: 0.695312] [adversarial loss: 1.075947, acc: 0.250000] 5170: [discriminator loss: 0.550566, acc: 0.648438] [adversarial loss: 1.438039, acc: 0.109375] 5171: [discriminator loss: 0.496020, acc: 0.757812] [adversarial loss: 0.906995, acc: 0.390625] 5172: [discriminator loss: 0.612399, acc: 0.640625] [adversarial loss: 1.247336, acc: 0.125000] 5173: [discriminator loss: 0.514222, acc: 0.750000] [adversarial loss: 0.925331, acc: 0.343750] 5174: [discriminator loss: 0.580234, acc: 0.656250] [adversarial loss: 1.559394, acc: 0.093750] 5175: [discriminator loss: 0.580427, acc: 0.671875] [adversarial loss: 0.766704, acc: 0.531250] 5176: [discriminator loss: 0.600864, acc: 0.671875] [adversarial loss: 1.500594, acc: 0.078125] 5177: [discriminator loss: 0.612335, acc: 0.679688] [adversarial loss: 0.978083, acc: 0.359375] 5178: [discriminator loss: 0.574069, acc: 0.718750] [adversarial loss: 1.249789, acc: 0.250000] 5179: [discriminator loss: 0.591246, acc: 0.679688] [adversarial loss: 1.250726, acc: 0.203125] 5180: [discriminator loss: 0.538960, acc: 0.703125] [adversarial loss: 1.261631, acc: 0.203125] 5181: [discriminator loss: 0.607273, acc: 0.679688] [adversarial loss: 0.969720, acc: 0.234375] 5182: [discriminator loss: 0.573416, acc: 0.718750] [adversarial loss: 1.172997, acc: 0.234375] 5183: [discriminator loss: 0.559817, acc: 0.687500] [adversarial loss: 1.056940, acc: 0.312500] 5184: [discriminator loss: 0.524560, acc: 0.718750] [adversarial loss: 1.011200, acc: 0.343750] 5185: [discriminator loss: 0.533140, acc: 0.765625] [adversarial loss: 1.246363, acc: 0.187500] 5186: [discriminator loss: 0.555604, acc: 0.710938] [adversarial loss: 0.833104, acc: 0.406250] 5187: [discriminator loss: 0.697704, acc: 0.625000] [adversarial loss: 1.593678, acc: 0.046875] 5188: [discriminator loss: 0.549387, acc: 0.718750] [adversarial loss: 0.940084, acc: 0.343750] 5189: [discriminator loss: 0.567137, acc: 0.695312] [adversarial loss: 1.407365, acc: 0.109375] 5190: [discriminator loss: 0.550742, acc: 0.710938] [adversarial loss: 0.879463, acc: 0.406250] 5191: [discriminator loss: 0.577425, acc: 0.703125] [adversarial loss: 1.438265, acc: 0.093750] 5192: [discriminator loss: 0.505644, acc: 0.742188] [adversarial loss: 1.116791, acc: 0.218750] 5193: [discriminator loss: 0.553291, acc: 0.710938] [adversarial loss: 1.294931, acc: 0.218750] 5194: [discriminator loss: 0.583155, acc: 0.679688] [adversarial loss: 0.940987, acc: 0.265625] 5195: [discriminator loss: 0.553847, acc: 0.703125] [adversarial loss: 1.202151, acc: 0.203125] 5196: [discriminator loss: 0.515831, acc: 0.718750] [adversarial loss: 1.025289, acc: 0.328125] 5197: [discriminator loss: 0.550235, acc: 0.710938] [adversarial loss: 1.383659, acc: 0.125000] 5198: [discriminator loss: 0.525319, acc: 0.726562] [adversarial loss: 0.901626, acc: 0.406250] 5199: [discriminator loss: 0.566245, acc: 0.726562] [adversarial loss: 1.500513, acc: 0.093750] 5200: [discriminator loss: 0.545529, acc: 0.726562] [adversarial loss: 1.041334, acc: 0.390625] 5201: [discriminator loss: 0.559682, acc: 0.695312] [adversarial loss: 1.117138, acc: 0.203125] 5202: [discriminator loss: 0.583484, acc: 0.718750] [adversarial loss: 1.092989, acc: 0.171875] 5203: [discriminator loss: 0.604467, acc: 0.671875] [adversarial loss: 1.204778, acc: 0.218750] 5204: [discriminator loss: 0.577465, acc: 0.695312] [adversarial loss: 0.936911, acc: 0.359375] 5205: [discriminator loss: 0.592669, acc: 0.671875] [adversarial loss: 1.346537, acc: 0.062500] 5206: [discriminator loss: 0.552774, acc: 0.687500] [adversarial loss: 1.000641, acc: 0.281250] 5207: [discriminator loss: 0.554687, acc: 0.718750] [adversarial loss: 1.326474, acc: 0.171875] 5208: [discriminator loss: 0.574656, acc: 0.664062] [adversarial loss: 1.032406, acc: 0.343750] 5209: [discriminator loss: 0.538711, acc: 0.718750] [adversarial loss: 1.235019, acc: 0.171875] 5210: [discriminator loss: 0.568139, acc: 0.695312] [adversarial loss: 0.835046, acc: 0.437500] 5211: [discriminator loss: 0.531876, acc: 0.718750] [adversarial loss: 1.142047, acc: 0.218750] 5212: [discriminator loss: 0.556806, acc: 0.656250] [adversarial loss: 1.267556, acc: 0.203125] 5213: [discriminator loss: 0.572823, acc: 0.687500] [adversarial loss: 1.015238, acc: 0.343750] 5214: [discriminator loss: 0.535279, acc: 0.726562] [adversarial loss: 1.441366, acc: 0.125000] 5215: [discriminator loss: 0.511470, acc: 0.742188] [adversarial loss: 1.123110, acc: 0.265625] 5216: [discriminator loss: 0.627182, acc: 0.640625] [adversarial loss: 1.212286, acc: 0.265625] 5217: [discriminator loss: 0.618823, acc: 0.640625] [adversarial loss: 1.208380, acc: 0.218750] 5218: [discriminator loss: 0.582955, acc: 0.664062] [adversarial loss: 1.042591, acc: 0.312500] 5219: [discriminator loss: 0.519321, acc: 0.765625] [adversarial loss: 1.359761, acc: 0.187500] 5220: [discriminator loss: 0.531378, acc: 0.664062] [adversarial loss: 1.186428, acc: 0.187500] 5221: [discriminator loss: 0.568055, acc: 0.734375] [adversarial loss: 0.999069, acc: 0.375000] 5222: [discriminator loss: 0.528516, acc: 0.726562] [adversarial loss: 1.711413, acc: 0.031250] 5223: [discriminator loss: 0.577166, acc: 0.687500] [adversarial loss: 0.830068, acc: 0.406250] 5224: [discriminator loss: 0.562070, acc: 0.734375] [adversarial loss: 1.346294, acc: 0.187500] 5225: [discriminator loss: 0.597667, acc: 0.679688] [adversarial loss: 0.860273, acc: 0.421875] 5226: [discriminator loss: 0.593627, acc: 0.664062] [adversarial loss: 1.477750, acc: 0.093750] 5227: [discriminator loss: 0.586798, acc: 0.648438] [adversarial loss: 0.972871, acc: 0.359375] 5228: [discriminator loss: 0.536579, acc: 0.710938] [adversarial loss: 1.292231, acc: 0.250000] 5229: [discriminator loss: 0.554926, acc: 0.671875] [adversarial loss: 1.109144, acc: 0.250000] 5230: [discriminator loss: 0.524335, acc: 0.710938] [adversarial loss: 1.090848, acc: 0.171875] 5231: [discriminator loss: 0.524646, acc: 0.742188] [adversarial loss: 1.156580, acc: 0.296875] 5232: [discriminator loss: 0.544968, acc: 0.710938] [adversarial loss: 1.067199, acc: 0.234375] 5233: [discriminator loss: 0.542243, acc: 0.734375] [adversarial loss: 1.359440, acc: 0.109375] 5234: [discriminator loss: 0.566570, acc: 0.671875] [adversarial loss: 1.039731, acc: 0.265625] 5235: [discriminator loss: 0.568557, acc: 0.695312] [adversarial loss: 1.304105, acc: 0.156250] 5236: [discriminator loss: 0.504926, acc: 0.765625] [adversarial loss: 1.041868, acc: 0.359375] 5237: [discriminator loss: 0.525458, acc: 0.750000] [adversarial loss: 1.363276, acc: 0.093750] 5238: [discriminator loss: 0.566071, acc: 0.695312] [adversarial loss: 0.977948, acc: 0.312500] 5239: [discriminator loss: 0.574472, acc: 0.710938] [adversarial loss: 1.287225, acc: 0.218750] 5240: [discriminator loss: 0.561254, acc: 0.679688] [adversarial loss: 0.954207, acc: 0.375000] 5241: [discriminator loss: 0.526085, acc: 0.765625] [adversarial loss: 1.238280, acc: 0.218750] 5242: [discriminator loss: 0.492677, acc: 0.765625] [adversarial loss: 1.093599, acc: 0.375000] 5243: [discriminator loss: 0.598908, acc: 0.671875] [adversarial loss: 1.297267, acc: 0.156250] 5244: [discriminator loss: 0.521329, acc: 0.734375] [adversarial loss: 0.872620, acc: 0.468750] 5245: [discriminator loss: 0.554667, acc: 0.710938] [adversarial loss: 1.510610, acc: 0.125000] 5246: [discriminator loss: 0.575966, acc: 0.695312] [adversarial loss: 0.701028, acc: 0.562500] 5247: [discriminator loss: 0.619642, acc: 0.640625] [adversarial loss: 1.536554, acc: 0.125000] 5248: [discriminator loss: 0.493779, acc: 0.742188] [adversarial loss: 1.034187, acc: 0.250000] 5249: [discriminator loss: 0.519284, acc: 0.750000] [adversarial loss: 1.261703, acc: 0.156250] 5250: [discriminator loss: 0.530575, acc: 0.757812] [adversarial loss: 1.121182, acc: 0.281250] 5251: [discriminator loss: 0.517983, acc: 0.773438] [adversarial loss: 1.083419, acc: 0.281250] 5252: [discriminator loss: 0.523559, acc: 0.757812] [adversarial loss: 1.294129, acc: 0.218750] 5253: [discriminator loss: 0.586694, acc: 0.679688] [adversarial loss: 1.121880, acc: 0.359375] 5254: [discriminator loss: 0.531608, acc: 0.765625] [adversarial loss: 1.404827, acc: 0.093750] 5255: [discriminator loss: 0.551444, acc: 0.734375] [adversarial loss: 1.050087, acc: 0.343750] 5256: [discriminator loss: 0.583297, acc: 0.648438] [adversarial loss: 1.232534, acc: 0.187500] 5257: [discriminator loss: 0.619427, acc: 0.656250] [adversarial loss: 1.039868, acc: 0.328125] 5258: [discriminator loss: 0.533091, acc: 0.703125] [adversarial loss: 1.216740, acc: 0.187500] 5259: [discriminator loss: 0.617798, acc: 0.656250] [adversarial loss: 0.858374, acc: 0.421875] 5260: [discriminator loss: 0.537946, acc: 0.648438] [adversarial loss: 1.299842, acc: 0.125000] 5261: [discriminator loss: 0.524463, acc: 0.703125] [adversarial loss: 1.151388, acc: 0.218750] 5262: [discriminator loss: 0.575217, acc: 0.687500] [adversarial loss: 1.171881, acc: 0.250000] 5263: [discriminator loss: 0.589043, acc: 0.687500] [adversarial loss: 1.170116, acc: 0.187500] 5264: [discriminator loss: 0.540900, acc: 0.757812] [adversarial loss: 1.050766, acc: 0.312500] 5265: [discriminator loss: 0.547294, acc: 0.703125] [adversarial loss: 1.114849, acc: 0.281250] 5266: [discriminator loss: 0.530722, acc: 0.718750] [adversarial loss: 1.238635, acc: 0.203125] 5267: [discriminator loss: 0.502432, acc: 0.734375] [adversarial loss: 1.262686, acc: 0.140625] 5268: [discriminator loss: 0.574014, acc: 0.687500] [adversarial loss: 1.208172, acc: 0.156250] 5269: [discriminator loss: 0.510975, acc: 0.734375] [adversarial loss: 1.265454, acc: 0.156250] 5270: [discriminator loss: 0.533612, acc: 0.750000] [adversarial loss: 1.187170, acc: 0.171875] 5271: [discriminator loss: 0.556062, acc: 0.757812] [adversarial loss: 1.351722, acc: 0.156250] 5272: [discriminator loss: 0.534198, acc: 0.757812] [adversarial loss: 0.919135, acc: 0.359375] 5273: [discriminator loss: 0.590580, acc: 0.671875] [adversarial loss: 1.568903, acc: 0.140625] 5274: [discriminator loss: 0.537165, acc: 0.718750] [adversarial loss: 0.787264, acc: 0.453125] 5275: [discriminator loss: 0.572200, acc: 0.695312] [adversarial loss: 1.576648, acc: 0.078125] 5276: [discriminator loss: 0.584961, acc: 0.695312] [adversarial loss: 0.991257, acc: 0.343750] 5277: [discriminator loss: 0.581359, acc: 0.695312] [adversarial loss: 1.384494, acc: 0.093750] 5278: [discriminator loss: 0.634006, acc: 0.625000] [adversarial loss: 1.191500, acc: 0.218750] 5279: [discriminator loss: 0.530952, acc: 0.726562] [adversarial loss: 1.089856, acc: 0.296875] 5280: [discriminator loss: 0.497822, acc: 0.765625] [adversarial loss: 1.211651, acc: 0.156250] 5281: [discriminator loss: 0.552088, acc: 0.718750] [adversarial loss: 1.581737, acc: 0.062500] 5282: [discriminator loss: 0.599621, acc: 0.710938] [adversarial loss: 0.906885, acc: 0.359375] 5283: [discriminator loss: 0.588371, acc: 0.695312] [adversarial loss: 1.361703, acc: 0.140625] 5284: [discriminator loss: 0.595864, acc: 0.664062] [adversarial loss: 0.936043, acc: 0.421875] 5285: [discriminator loss: 0.589327, acc: 0.750000] [adversarial loss: 1.371111, acc: 0.125000] 5286: [discriminator loss: 0.553052, acc: 0.695312] [adversarial loss: 1.119162, acc: 0.312500] 5287: [discriminator loss: 0.483211, acc: 0.757812] [adversarial loss: 1.233877, acc: 0.171875] 5288: [discriminator loss: 0.601905, acc: 0.648438] [adversarial loss: 1.020704, acc: 0.390625] 5289: [discriminator loss: 0.529913, acc: 0.687500] [adversarial loss: 1.460563, acc: 0.140625] 5290: [discriminator loss: 0.579252, acc: 0.695312] [adversarial loss: 0.848863, acc: 0.453125] 5291: [discriminator loss: 0.512603, acc: 0.781250] [adversarial loss: 1.167403, acc: 0.234375] 5292: [discriminator loss: 0.565537, acc: 0.703125] [adversarial loss: 0.695139, acc: 0.578125] 5293: [discriminator loss: 0.626581, acc: 0.679688] [adversarial loss: 1.476259, acc: 0.062500] 5294: [discriminator loss: 0.625109, acc: 0.640625] [adversarial loss: 0.982356, acc: 0.343750] 5295: [discriminator loss: 0.597589, acc: 0.687500] [adversarial loss: 1.500133, acc: 0.062500] 5296: [discriminator loss: 0.619042, acc: 0.648438] [adversarial loss: 0.919753, acc: 0.328125] 5297: [discriminator loss: 0.576180, acc: 0.671875] [adversarial loss: 1.194963, acc: 0.234375] 5298: [discriminator loss: 0.475521, acc: 0.750000] [adversarial loss: 1.166658, acc: 0.250000] 5299: [discriminator loss: 0.507495, acc: 0.757812] [adversarial loss: 1.164144, acc: 0.234375] 5300: [discriminator loss: 0.603761, acc: 0.648438] [adversarial loss: 1.123129, acc: 0.265625] 5301: [discriminator loss: 0.561445, acc: 0.750000] [adversarial loss: 1.300992, acc: 0.093750] 5302: [discriminator loss: 0.513732, acc: 0.710938] [adversarial loss: 1.200238, acc: 0.156250] 5303: [discriminator loss: 0.499838, acc: 0.757812] [adversarial loss: 1.229641, acc: 0.281250] 5304: [discriminator loss: 0.525724, acc: 0.726562] [adversarial loss: 1.119460, acc: 0.234375] 5305: [discriminator loss: 0.478591, acc: 0.773438] [adversarial loss: 1.165805, acc: 0.265625] 5306: [discriminator loss: 0.566309, acc: 0.742188] [adversarial loss: 0.948207, acc: 0.328125] 5307: [discriminator loss: 0.573048, acc: 0.695312] [adversarial loss: 1.054360, acc: 0.218750] 5308: [discriminator loss: 0.528075, acc: 0.726562] [adversarial loss: 1.334797, acc: 0.156250] 5309: [discriminator loss: 0.530760, acc: 0.734375] [adversarial loss: 1.344793, acc: 0.156250] 5310: [discriminator loss: 0.512807, acc: 0.718750] [adversarial loss: 1.066051, acc: 0.328125] 5311: [discriminator loss: 0.577150, acc: 0.703125] [adversarial loss: 1.167762, acc: 0.203125] 5312: [discriminator loss: 0.557230, acc: 0.742188] [adversarial loss: 1.116157, acc: 0.250000] 5313: [discriminator loss: 0.560175, acc: 0.695312] [adversarial loss: 1.298031, acc: 0.187500] 5314: [discriminator loss: 0.489733, acc: 0.750000] [adversarial loss: 0.807680, acc: 0.453125] 5315: [discriminator loss: 0.634371, acc: 0.640625] [adversarial loss: 1.498984, acc: 0.078125] 5316: [discriminator loss: 0.667799, acc: 0.562500] [adversarial loss: 0.669641, acc: 0.625000] 5317: [discriminator loss: 0.602166, acc: 0.664062] [adversarial loss: 1.647715, acc: 0.046875] 5318: [discriminator loss: 0.551894, acc: 0.695312] [adversarial loss: 0.933889, acc: 0.312500] 5319: [discriminator loss: 0.608921, acc: 0.664062] [adversarial loss: 1.471019, acc: 0.125000] 5320: [discriminator loss: 0.542089, acc: 0.703125] [adversarial loss: 0.945684, acc: 0.328125] 5321: [discriminator loss: 0.650353, acc: 0.640625] [adversarial loss: 1.202892, acc: 0.125000] 5322: [discriminator loss: 0.576078, acc: 0.679688] [adversarial loss: 0.967670, acc: 0.281250] 5323: [discriminator loss: 0.587946, acc: 0.640625] [adversarial loss: 1.377505, acc: 0.125000] 5324: [discriminator loss: 0.536306, acc: 0.757812] [adversarial loss: 0.808255, acc: 0.500000] 5325: [discriminator loss: 0.529212, acc: 0.710938] [adversarial loss: 1.242763, acc: 0.234375] 5326: [discriminator loss: 0.677296, acc: 0.617188] [adversarial loss: 1.001960, acc: 0.390625] 5327: [discriminator loss: 0.568151, acc: 0.671875] [adversarial loss: 0.931440, acc: 0.343750] 5328: [discriminator loss: 0.510974, acc: 0.789062] [adversarial loss: 1.079289, acc: 0.218750] 5329: [discriminator loss: 0.526806, acc: 0.742188] [adversarial loss: 1.017736, acc: 0.296875] 5330: [discriminator loss: 0.621328, acc: 0.703125] [adversarial loss: 1.426823, acc: 0.109375] 5331: [discriminator loss: 0.517782, acc: 0.734375] [adversarial loss: 0.920157, acc: 0.406250] 5332: [discriminator loss: 0.562637, acc: 0.703125] [adversarial loss: 1.078721, acc: 0.250000] 5333: [discriminator loss: 0.540056, acc: 0.726562] [adversarial loss: 1.074666, acc: 0.265625] 5334: [discriminator loss: 0.554465, acc: 0.687500] [adversarial loss: 1.342150, acc: 0.140625] 5335: [discriminator loss: 0.633849, acc: 0.656250] [adversarial loss: 1.003597, acc: 0.281250] 5336: [discriminator loss: 0.570351, acc: 0.687500] [adversarial loss: 1.315993, acc: 0.109375] 5337: [discriminator loss: 0.529811, acc: 0.718750] [adversarial loss: 0.851724, acc: 0.421875] 5338: [discriminator loss: 0.536671, acc: 0.718750] [adversarial loss: 1.512310, acc: 0.078125] 5339: [discriminator loss: 0.596803, acc: 0.671875] [adversarial loss: 0.822308, acc: 0.453125] 5340: [discriminator loss: 0.649008, acc: 0.664062] [adversarial loss: 1.238564, acc: 0.203125] 5341: [discriminator loss: 0.564398, acc: 0.695312] [adversarial loss: 1.072236, acc: 0.312500] 5342: [discriminator loss: 0.518923, acc: 0.750000] [adversarial loss: 1.193628, acc: 0.125000] 5343: [discriminator loss: 0.537530, acc: 0.734375] [adversarial loss: 1.162334, acc: 0.218750] 5344: [discriminator loss: 0.599133, acc: 0.703125] [adversarial loss: 1.375921, acc: 0.125000] 5345: [discriminator loss: 0.494433, acc: 0.765625] [adversarial loss: 1.135097, acc: 0.187500] 5346: [discriminator loss: 0.544044, acc: 0.703125] [adversarial loss: 1.302187, acc: 0.187500] 5347: [discriminator loss: 0.543817, acc: 0.679688] [adversarial loss: 0.958724, acc: 0.312500] 5348: [discriminator loss: 0.581409, acc: 0.695312] [adversarial loss: 1.170761, acc: 0.171875] 5349: [discriminator loss: 0.515281, acc: 0.757812] [adversarial loss: 1.167894, acc: 0.218750] 5350: [discriminator loss: 0.596825, acc: 0.718750] [adversarial loss: 1.079983, acc: 0.296875] 5351: [discriminator loss: 0.596864, acc: 0.687500] [adversarial loss: 1.374442, acc: 0.125000] 5352: [discriminator loss: 0.579363, acc: 0.664062] [adversarial loss: 1.017256, acc: 0.281250] 5353: [discriminator loss: 0.550609, acc: 0.718750] [adversarial loss: 1.214121, acc: 0.296875] 5354: [discriminator loss: 0.516634, acc: 0.742188] [adversarial loss: 1.433281, acc: 0.078125] 5355: [discriminator loss: 0.563044, acc: 0.703125] [adversarial loss: 1.128817, acc: 0.218750] 5356: [discriminator loss: 0.546773, acc: 0.718750] [adversarial loss: 1.120324, acc: 0.265625] 5357: [discriminator loss: 0.492155, acc: 0.781250] [adversarial loss: 1.147358, acc: 0.234375] 5358: [discriminator loss: 0.547782, acc: 0.710938] [adversarial loss: 0.979521, acc: 0.453125] 5359: [discriminator loss: 0.558630, acc: 0.703125] [adversarial loss: 0.905847, acc: 0.406250] 5360: [discriminator loss: 0.689218, acc: 0.640625] [adversarial loss: 1.665164, acc: 0.062500] 5361: [discriminator loss: 0.648687, acc: 0.632812] [adversarial loss: 0.681217, acc: 0.625000] 5362: [discriminator loss: 0.538596, acc: 0.742188] [adversarial loss: 1.511320, acc: 0.156250] 5363: [discriminator loss: 0.592584, acc: 0.703125] [adversarial loss: 0.952015, acc: 0.359375] 5364: [discriminator loss: 0.573893, acc: 0.703125] [adversarial loss: 1.255440, acc: 0.187500] 5365: [discriminator loss: 0.555490, acc: 0.734375] [adversarial loss: 1.082443, acc: 0.218750] 5366: [discriminator loss: 0.578552, acc: 0.679688] [adversarial loss: 1.359179, acc: 0.125000] 5367: [discriminator loss: 0.553621, acc: 0.695312] [adversarial loss: 0.925330, acc: 0.359375] 5368: [discriminator loss: 0.473156, acc: 0.789062] [adversarial loss: 1.087438, acc: 0.218750] 5369: [discriminator loss: 0.535773, acc: 0.734375] [adversarial loss: 1.255338, acc: 0.125000] 5370: [discriminator loss: 0.517072, acc: 0.710938] [adversarial loss: 1.183505, acc: 0.265625] 5371: [discriminator loss: 0.548484, acc: 0.734375] [adversarial loss: 1.226288, acc: 0.218750] 5372: [discriminator loss: 0.500388, acc: 0.757812] [adversarial loss: 0.892544, acc: 0.468750] 5373: [discriminator loss: 0.495288, acc: 0.820312] [adversarial loss: 1.660285, acc: 0.093750] 5374: [discriminator loss: 0.508491, acc: 0.726562] [adversarial loss: 0.993072, acc: 0.328125] 5375: [discriminator loss: 0.595988, acc: 0.750000] [adversarial loss: 1.249964, acc: 0.234375] 5376: [discriminator loss: 0.579335, acc: 0.703125] [adversarial loss: 0.900760, acc: 0.328125] 5377: [discriminator loss: 0.557115, acc: 0.710938] [adversarial loss: 1.453906, acc: 0.125000] 5378: [discriminator loss: 0.540629, acc: 0.718750] [adversarial loss: 0.855697, acc: 0.437500] 5379: [discriminator loss: 0.578947, acc: 0.718750] [adversarial loss: 1.579783, acc: 0.109375] 5380: [discriminator loss: 0.572697, acc: 0.703125] [adversarial loss: 1.009172, acc: 0.343750] 5381: [discriminator loss: 0.545510, acc: 0.757812] [adversarial loss: 1.355238, acc: 0.125000] 5382: [discriminator loss: 0.584799, acc: 0.679688] [adversarial loss: 0.814494, acc: 0.437500] 5383: [discriminator loss: 0.586732, acc: 0.664062] [adversarial loss: 1.390045, acc: 0.109375] 5384: [discriminator loss: 0.542324, acc: 0.726562] [adversarial loss: 1.114969, acc: 0.218750] 5385: [discriminator loss: 0.473732, acc: 0.773438] [adversarial loss: 1.213048, acc: 0.203125] 5386: [discriminator loss: 0.518085, acc: 0.718750] [adversarial loss: 1.113523, acc: 0.218750] 5387: [discriminator loss: 0.535229, acc: 0.757812] [adversarial loss: 0.965679, acc: 0.328125] 5388: [discriminator loss: 0.537577, acc: 0.679688] [adversarial loss: 1.302770, acc: 0.203125] 5389: [discriminator loss: 0.522297, acc: 0.710938] [adversarial loss: 0.936201, acc: 0.328125] 5390: [discriminator loss: 0.512352, acc: 0.718750] [adversarial loss: 1.063512, acc: 0.250000] 5391: [discriminator loss: 0.583487, acc: 0.710938] [adversarial loss: 1.385375, acc: 0.125000] 5392: [discriminator loss: 0.505229, acc: 0.726562] [adversarial loss: 0.850204, acc: 0.468750] 5393: [discriminator loss: 0.625286, acc: 0.687500] [adversarial loss: 1.351472, acc: 0.171875] 5394: [discriminator loss: 0.506393, acc: 0.726562] [adversarial loss: 1.029477, acc: 0.359375] 5395: [discriminator loss: 0.537261, acc: 0.742188] [adversarial loss: 1.405462, acc: 0.046875] 5396: [discriminator loss: 0.527356, acc: 0.734375] [adversarial loss: 1.057979, acc: 0.312500] 5397: [discriminator loss: 0.564245, acc: 0.710938] [adversarial loss: 1.269949, acc: 0.171875] 5398: [discriminator loss: 0.598320, acc: 0.671875] [adversarial loss: 0.951941, acc: 0.343750] 5399: [discriminator loss: 0.534211, acc: 0.734375] [adversarial loss: 1.285952, acc: 0.187500] 5400: [discriminator loss: 0.536932, acc: 0.726562] [adversarial loss: 1.269354, acc: 0.171875] 5401: [discriminator loss: 0.588645, acc: 0.664062] [adversarial loss: 1.324631, acc: 0.156250] 5402: [discriminator loss: 0.505125, acc: 0.734375] [adversarial loss: 1.094666, acc: 0.250000] 5403: [discriminator loss: 0.544721, acc: 0.703125] [adversarial loss: 1.319172, acc: 0.156250] 5404: [discriminator loss: 0.531547, acc: 0.757812] [adversarial loss: 1.020016, acc: 0.343750] 5405: [discriminator loss: 0.564844, acc: 0.718750] [adversarial loss: 1.140013, acc: 0.312500] 5406: [discriminator loss: 0.538436, acc: 0.726562] [adversarial loss: 1.467847, acc: 0.125000] 5407: [discriminator loss: 0.486202, acc: 0.726562] [adversarial loss: 1.296428, acc: 0.156250] 5408: [discriminator loss: 0.503115, acc: 0.718750] [adversarial loss: 1.292745, acc: 0.093750] 5409: [discriminator loss: 0.530881, acc: 0.750000] [adversarial loss: 1.038227, acc: 0.234375] 5410: [discriminator loss: 0.553435, acc: 0.710938] [adversarial loss: 1.011537, acc: 0.234375] 5411: [discriminator loss: 0.698424, acc: 0.617188] [adversarial loss: 1.473903, acc: 0.171875] 5412: [discriminator loss: 0.567962, acc: 0.679688] [adversarial loss: 0.748849, acc: 0.515625] 5413: [discriminator loss: 0.584491, acc: 0.679688] [adversarial loss: 1.449435, acc: 0.125000] 5414: [discriminator loss: 0.497523, acc: 0.734375] [adversarial loss: 0.948848, acc: 0.406250] 5415: [discriminator loss: 0.558463, acc: 0.750000] [adversarial loss: 1.387900, acc: 0.218750] 5416: [discriminator loss: 0.493431, acc: 0.734375] [adversarial loss: 1.172179, acc: 0.203125] 5417: [discriminator loss: 0.548955, acc: 0.710938] [adversarial loss: 1.220025, acc: 0.156250] 5418: [discriminator loss: 0.475268, acc: 0.765625] [adversarial loss: 1.291175, acc: 0.187500] 5419: [discriminator loss: 0.526388, acc: 0.726562] [adversarial loss: 1.336153, acc: 0.203125] 5420: [discriminator loss: 0.561041, acc: 0.718750] [adversarial loss: 0.932678, acc: 0.421875] 5421: [discriminator loss: 0.537541, acc: 0.687500] [adversarial loss: 1.036222, acc: 0.484375] 5422: [discriminator loss: 0.485618, acc: 0.750000] [adversarial loss: 1.446611, acc: 0.125000] 5423: [discriminator loss: 0.517393, acc: 0.726562] [adversarial loss: 0.924247, acc: 0.375000] 5424: [discriminator loss: 0.514361, acc: 0.781250] [adversarial loss: 1.323728, acc: 0.156250] 5425: [discriminator loss: 0.463913, acc: 0.726562] [adversarial loss: 1.109756, acc: 0.218750] 5426: [discriminator loss: 0.534462, acc: 0.726562] [adversarial loss: 1.403173, acc: 0.203125] 5427: [discriminator loss: 0.553653, acc: 0.726562] [adversarial loss: 1.128540, acc: 0.265625] 5428: [discriminator loss: 0.510243, acc: 0.742188] [adversarial loss: 0.911866, acc: 0.453125] 5429: [discriminator loss: 0.620856, acc: 0.632812] [adversarial loss: 1.441708, acc: 0.140625] 5430: [discriminator loss: 0.612896, acc: 0.648438] [adversarial loss: 0.792024, acc: 0.500000] 5431: [discriminator loss: 0.669963, acc: 0.664062] [adversarial loss: 1.604758, acc: 0.078125] 5432: [discriminator loss: 0.542886, acc: 0.703125] [adversarial loss: 0.864573, acc: 0.437500] 5433: [discriminator loss: 0.661274, acc: 0.625000] [adversarial loss: 1.647553, acc: 0.046875] 5434: [discriminator loss: 0.550631, acc: 0.734375] [adversarial loss: 1.009686, acc: 0.375000] 5435: [discriminator loss: 0.541226, acc: 0.742188] [adversarial loss: 1.333077, acc: 0.140625] 5436: [discriminator loss: 0.533196, acc: 0.718750] [adversarial loss: 1.096562, acc: 0.328125] 5437: [discriminator loss: 0.563931, acc: 0.664062] [adversarial loss: 0.998911, acc: 0.328125] 5438: [discriminator loss: 0.555754, acc: 0.640625] [adversarial loss: 1.465183, acc: 0.140625] 5439: [discriminator loss: 0.491024, acc: 0.710938] [adversarial loss: 1.072962, acc: 0.390625] 5440: [discriminator loss: 0.529211, acc: 0.726562] [adversarial loss: 0.994697, acc: 0.390625] 5441: [discriminator loss: 0.540436, acc: 0.695312] [adversarial loss: 1.440945, acc: 0.156250] 5442: [discriminator loss: 0.566949, acc: 0.726562] [adversarial loss: 1.168122, acc: 0.234375] 5443: [discriminator loss: 0.533894, acc: 0.703125] [adversarial loss: 1.225174, acc: 0.171875] 5444: [discriminator loss: 0.483255, acc: 0.773438] [adversarial loss: 1.055274, acc: 0.281250] 5445: [discriminator loss: 0.559703, acc: 0.718750] [adversarial loss: 1.280075, acc: 0.140625] 5446: [discriminator loss: 0.550796, acc: 0.710938] [adversarial loss: 0.811184, acc: 0.468750] 5447: [discriminator loss: 0.542295, acc: 0.726562] [adversarial loss: 1.514340, acc: 0.156250] 5448: [discriminator loss: 0.599229, acc: 0.687500] [adversarial loss: 0.831129, acc: 0.468750] 5449: [discriminator loss: 0.605938, acc: 0.625000] [adversarial loss: 1.299099, acc: 0.203125] 5450: [discriminator loss: 0.559587, acc: 0.703125] [adversarial loss: 1.166979, acc: 0.250000] 5451: [discriminator loss: 0.561247, acc: 0.679688] [adversarial loss: 0.966185, acc: 0.328125] 5452: [discriminator loss: 0.611276, acc: 0.656250] [adversarial loss: 1.205396, acc: 0.250000] 5453: [discriminator loss: 0.565153, acc: 0.679688] [adversarial loss: 1.209249, acc: 0.203125] 5454: [discriminator loss: 0.512571, acc: 0.734375] [adversarial loss: 0.983173, acc: 0.328125] 5455: [discriminator loss: 0.620430, acc: 0.656250] [adversarial loss: 1.368869, acc: 0.203125] 5456: [discriminator loss: 0.542914, acc: 0.742188] [adversarial loss: 0.983202, acc: 0.265625] 5457: [discriminator loss: 0.622802, acc: 0.671875] [adversarial loss: 1.188937, acc: 0.312500] 5458: [discriminator loss: 0.557657, acc: 0.695312] [adversarial loss: 1.146681, acc: 0.187500] 5459: [discriminator loss: 0.513098, acc: 0.765625] [adversarial loss: 0.976502, acc: 0.359375] 5460: [discriminator loss: 0.605901, acc: 0.640625] [adversarial loss: 1.409786, acc: 0.093750] 5461: [discriminator loss: 0.626894, acc: 0.664062] [adversarial loss: 0.798699, acc: 0.406250] 5462: [discriminator loss: 0.617497, acc: 0.671875] [adversarial loss: 1.689139, acc: 0.031250] 5463: [discriminator loss: 0.603896, acc: 0.679688] [adversarial loss: 1.015881, acc: 0.296875] 5464: [discriminator loss: 0.631832, acc: 0.664062] [adversarial loss: 1.324301, acc: 0.125000] 5465: [discriminator loss: 0.584379, acc: 0.664062] [adversarial loss: 0.972941, acc: 0.250000] 5466: [discriminator loss: 0.539770, acc: 0.726562] [adversarial loss: 1.007323, acc: 0.328125] 5467: [discriminator loss: 0.544998, acc: 0.703125] [adversarial loss: 1.154572, acc: 0.234375] 5468: [discriminator loss: 0.505186, acc: 0.773438] [adversarial loss: 1.410308, acc: 0.140625] 5469: [discriminator loss: 0.465380, acc: 0.796875] [adversarial loss: 1.259767, acc: 0.203125] 5470: [discriminator loss: 0.584478, acc: 0.687500] [adversarial loss: 1.124581, acc: 0.218750] 5471: [discriminator loss: 0.464916, acc: 0.765625] [adversarial loss: 1.241968, acc: 0.171875] 5472: [discriminator loss: 0.556269, acc: 0.695312] [adversarial loss: 0.990504, acc: 0.328125] 5473: [discriminator loss: 0.472190, acc: 0.835938] [adversarial loss: 1.119919, acc: 0.218750] 5474: [discriminator loss: 0.507847, acc: 0.718750] [adversarial loss: 1.256462, acc: 0.187500] 5475: [discriminator loss: 0.634270, acc: 0.640625] [adversarial loss: 1.007463, acc: 0.312500] 5476: [discriminator loss: 0.533302, acc: 0.726562] [adversarial loss: 1.138661, acc: 0.312500] 5477: [discriminator loss: 0.482129, acc: 0.765625] [adversarial loss: 1.142636, acc: 0.187500] 5478: [discriminator loss: 0.579927, acc: 0.625000] [adversarial loss: 1.469016, acc: 0.109375] 5479: [discriminator loss: 0.539210, acc: 0.773438] [adversarial loss: 0.821440, acc: 0.406250] 5480: [discriminator loss: 0.508102, acc: 0.765625] [adversarial loss: 1.759335, acc: 0.078125] 5481: [discriminator loss: 0.599646, acc: 0.679688] [adversarial loss: 0.805757, acc: 0.453125] 5482: [discriminator loss: 0.553344, acc: 0.703125] [adversarial loss: 1.237912, acc: 0.218750] 5483: [discriminator loss: 0.538825, acc: 0.742188] [adversarial loss: 1.158505, acc: 0.281250] 5484: [discriminator loss: 0.523751, acc: 0.765625] [adversarial loss: 0.998349, acc: 0.296875] 5485: [discriminator loss: 0.527109, acc: 0.734375] [adversarial loss: 1.336737, acc: 0.125000] 5486: [discriminator loss: 0.492717, acc: 0.773438] [adversarial loss: 0.822910, acc: 0.359375] 5487: [discriminator loss: 0.487418, acc: 0.757812] [adversarial loss: 1.161240, acc: 0.281250] 5488: [discriminator loss: 0.578621, acc: 0.671875] [adversarial loss: 0.974634, acc: 0.328125] 5489: [discriminator loss: 0.515154, acc: 0.789062] [adversarial loss: 1.237002, acc: 0.187500] 5490: [discriminator loss: 0.415462, acc: 0.804688] [adversarial loss: 1.153020, acc: 0.234375] 5491: [discriminator loss: 0.530230, acc: 0.679688] [adversarial loss: 1.284981, acc: 0.187500] 5492: [discriminator loss: 0.538496, acc: 0.742188] [adversarial loss: 0.997397, acc: 0.390625] 5493: [discriminator loss: 0.593266, acc: 0.726562] [adversarial loss: 1.571588, acc: 0.078125] 5494: [discriminator loss: 0.550520, acc: 0.710938] [adversarial loss: 0.914558, acc: 0.359375] 5495: [discriminator loss: 0.563022, acc: 0.718750] [adversarial loss: 1.088058, acc: 0.312500] 5496: [discriminator loss: 0.562849, acc: 0.726562] [adversarial loss: 1.241651, acc: 0.250000] 5497: [discriminator loss: 0.551233, acc: 0.734375] [adversarial loss: 1.259295, acc: 0.187500] 5498: [discriminator loss: 0.670879, acc: 0.632812] [adversarial loss: 1.139372, acc: 0.281250] 5499: [discriminator loss: 0.585771, acc: 0.679688] [adversarial loss: 1.191681, acc: 0.234375] 5500: [discriminator loss: 0.497919, acc: 0.773438] [adversarial loss: 0.958076, acc: 0.343750] 5501: [discriminator loss: 0.494656, acc: 0.734375] [adversarial loss: 1.442047, acc: 0.125000] 5502: [discriminator loss: 0.655334, acc: 0.640625] [adversarial loss: 0.902370, acc: 0.421875] 5503: [discriminator loss: 0.672578, acc: 0.632812] [adversarial loss: 1.347279, acc: 0.125000] 5504: [discriminator loss: 0.536171, acc: 0.726562] [adversarial loss: 0.999437, acc: 0.375000] 5505: [discriminator loss: 0.557698, acc: 0.734375] [adversarial loss: 1.466512, acc: 0.078125] 5506: [discriminator loss: 0.544630, acc: 0.734375] [adversarial loss: 1.138937, acc: 0.328125] 5507: [discriminator loss: 0.586174, acc: 0.671875] [adversarial loss: 1.163135, acc: 0.234375] 5508: [discriminator loss: 0.557493, acc: 0.718750] [adversarial loss: 1.215187, acc: 0.187500] 5509: [discriminator loss: 0.553446, acc: 0.750000] [adversarial loss: 0.986609, acc: 0.328125] 5510: [discriminator loss: 0.556841, acc: 0.703125] [adversarial loss: 1.361061, acc: 0.156250] 5511: [discriminator loss: 0.571929, acc: 0.703125] [adversarial loss: 0.895226, acc: 0.390625] 5512: [discriminator loss: 0.566834, acc: 0.703125] [adversarial loss: 1.452050, acc: 0.109375] 5513: [discriminator loss: 0.583818, acc: 0.687500] [adversarial loss: 0.956407, acc: 0.484375] 5514: [discriminator loss: 0.507689, acc: 0.789062] [adversarial loss: 1.232941, acc: 0.203125] 5515: [discriminator loss: 0.502105, acc: 0.726562] [adversarial loss: 1.258668, acc: 0.203125] 5516: [discriminator loss: 0.521411, acc: 0.710938] [adversarial loss: 1.304566, acc: 0.171875] 5517: [discriminator loss: 0.594100, acc: 0.625000] [adversarial loss: 0.991765, acc: 0.359375] 5518: [discriminator loss: 0.540550, acc: 0.718750] [adversarial loss: 1.233014, acc: 0.296875] 5519: [discriminator loss: 0.660841, acc: 0.632812] [adversarial loss: 1.001123, acc: 0.328125] 5520: [discriminator loss: 0.551316, acc: 0.679688] [adversarial loss: 1.562105, acc: 0.203125] 5521: [discriminator loss: 0.567807, acc: 0.695312] [adversarial loss: 0.889382, acc: 0.484375] 5522: [discriminator loss: 0.546322, acc: 0.750000] [adversarial loss: 1.534331, acc: 0.078125] 5523: [discriminator loss: 0.565087, acc: 0.703125] [adversarial loss: 0.787901, acc: 0.531250] 5524: [discriminator loss: 0.556261, acc: 0.742188] [adversarial loss: 1.469765, acc: 0.093750] 5525: [discriminator loss: 0.501512, acc: 0.734375] [adversarial loss: 0.817682, acc: 0.468750] 5526: [discriminator loss: 0.526259, acc: 0.726562] [adversarial loss: 1.267212, acc: 0.203125] 5527: [discriminator loss: 0.536631, acc: 0.726562] [adversarial loss: 1.065276, acc: 0.296875] 5528: [discriminator loss: 0.581073, acc: 0.750000] [adversarial loss: 1.515371, acc: 0.093750] 5529: [discriminator loss: 0.568041, acc: 0.648438] [adversarial loss: 0.864024, acc: 0.453125] 5530: [discriminator loss: 0.499685, acc: 0.742188] [adversarial loss: 1.161524, acc: 0.234375] 5531: [discriminator loss: 0.600784, acc: 0.656250] [adversarial loss: 0.911419, acc: 0.312500] 5532: [discriminator loss: 0.663258, acc: 0.609375] [adversarial loss: 1.189008, acc: 0.187500] 5533: [discriminator loss: 0.547290, acc: 0.726562] [adversarial loss: 1.066766, acc: 0.265625] 5534: [discriminator loss: 0.541122, acc: 0.750000] [adversarial loss: 1.228290, acc: 0.234375] 5535: [discriminator loss: 0.524046, acc: 0.757812] [adversarial loss: 1.374653, acc: 0.171875] 5536: [discriminator loss: 0.512731, acc: 0.734375] [adversarial loss: 0.819099, acc: 0.500000] 5537: [discriminator loss: 0.592833, acc: 0.687500] [adversarial loss: 1.598521, acc: 0.062500] 5538: [discriminator loss: 0.599041, acc: 0.679688] [adversarial loss: 1.024380, acc: 0.328125] 5539: [discriminator loss: 0.509272, acc: 0.757812] [adversarial loss: 1.418579, acc: 0.140625] 5540: [discriminator loss: 0.537184, acc: 0.726562] [adversarial loss: 0.973308, acc: 0.359375] 5541: [discriminator loss: 0.521999, acc: 0.726562] [adversarial loss: 1.090880, acc: 0.234375] 5542: [discriminator loss: 0.539544, acc: 0.703125] [adversarial loss: 1.280251, acc: 0.140625] 5543: [discriminator loss: 0.510417, acc: 0.718750] [adversarial loss: 0.987003, acc: 0.359375] 5544: [discriminator loss: 0.513350, acc: 0.750000] [adversarial loss: 1.358659, acc: 0.109375] 5545: [discriminator loss: 0.616504, acc: 0.687500] [adversarial loss: 1.055570, acc: 0.359375] 5546: [discriminator loss: 0.535185, acc: 0.734375] [adversarial loss: 1.259731, acc: 0.125000] 5547: [discriminator loss: 0.472577, acc: 0.796875] [adversarial loss: 1.292886, acc: 0.250000] 5548: [discriminator loss: 0.565809, acc: 0.671875] [adversarial loss: 1.141812, acc: 0.218750] 5549: [discriminator loss: 0.548866, acc: 0.703125] [adversarial loss: 1.074434, acc: 0.218750] 5550: [discriminator loss: 0.546263, acc: 0.765625] [adversarial loss: 1.499945, acc: 0.093750] 5551: [discriminator loss: 0.553611, acc: 0.671875] [adversarial loss: 0.891300, acc: 0.406250] 5552: [discriminator loss: 0.646700, acc: 0.617188] [adversarial loss: 1.431645, acc: 0.125000] 5553: [discriminator loss: 0.548308, acc: 0.718750] [adversarial loss: 0.969730, acc: 0.328125] 5554: [discriminator loss: 0.561871, acc: 0.726562] [adversarial loss: 1.405103, acc: 0.203125] 5555: [discriminator loss: 0.539838, acc: 0.710938] [adversarial loss: 1.239312, acc: 0.156250] 5556: [discriminator loss: 0.589395, acc: 0.679688] [adversarial loss: 1.302092, acc: 0.093750] 5557: [discriminator loss: 0.543652, acc: 0.718750] [adversarial loss: 1.219804, acc: 0.218750] 5558: [discriminator loss: 0.535243, acc: 0.734375] [adversarial loss: 1.094997, acc: 0.265625] 5559: [discriminator loss: 0.542202, acc: 0.734375] [adversarial loss: 1.485879, acc: 0.062500] 5560: [discriminator loss: 0.529640, acc: 0.703125] [adversarial loss: 1.132160, acc: 0.218750] 5561: [discriminator loss: 0.516615, acc: 0.757812] [adversarial loss: 1.203435, acc: 0.218750] 5562: [discriminator loss: 0.554490, acc: 0.687500] [adversarial loss: 1.156075, acc: 0.218750] 5563: [discriminator loss: 0.538053, acc: 0.734375] [adversarial loss: 1.433996, acc: 0.093750] 5564: [discriminator loss: 0.568204, acc: 0.687500] [adversarial loss: 0.829848, acc: 0.421875] 5565: [discriminator loss: 0.615038, acc: 0.664062] [adversarial loss: 1.498273, acc: 0.046875] 5566: [discriminator loss: 0.592748, acc: 0.695312] [adversarial loss: 0.918939, acc: 0.343750] 5567: [discriminator loss: 0.572765, acc: 0.703125] [adversarial loss: 1.076151, acc: 0.187500] 5568: [discriminator loss: 0.611132, acc: 0.625000] [adversarial loss: 0.960884, acc: 0.390625] 5569: [discriminator loss: 0.561043, acc: 0.710938] [adversarial loss: 1.427974, acc: 0.156250] 5570: [discriminator loss: 0.528143, acc: 0.750000] [adversarial loss: 1.102689, acc: 0.203125] 5571: [discriminator loss: 0.504003, acc: 0.734375] [adversarial loss: 1.046579, acc: 0.328125] 5572: [discriminator loss: 0.614680, acc: 0.632812] [adversarial loss: 1.494975, acc: 0.125000] 5573: [discriminator loss: 0.623354, acc: 0.656250] [adversarial loss: 0.794011, acc: 0.468750] 5574: [discriminator loss: 0.553207, acc: 0.718750] [adversarial loss: 1.276061, acc: 0.125000] 5575: [discriminator loss: 0.530391, acc: 0.695312] [adversarial loss: 1.025198, acc: 0.265625] 5576: [discriminator loss: 0.509784, acc: 0.726562] [adversarial loss: 1.226440, acc: 0.250000] 5577: [discriminator loss: 0.551442, acc: 0.703125] [adversarial loss: 0.931262, acc: 0.421875] 5578: [discriminator loss: 0.571843, acc: 0.734375] [adversarial loss: 1.196990, acc: 0.234375] 5579: [discriminator loss: 0.517367, acc: 0.726562] [adversarial loss: 1.660513, acc: 0.078125] 5580: [discriminator loss: 0.576586, acc: 0.710938] [adversarial loss: 0.900268, acc: 0.359375] 5581: [discriminator loss: 0.599538, acc: 0.687500] [adversarial loss: 1.551070, acc: 0.078125] 5582: [discriminator loss: 0.618995, acc: 0.632812] [adversarial loss: 1.034323, acc: 0.328125] 5583: [discriminator loss: 0.593119, acc: 0.671875] [adversarial loss: 1.431500, acc: 0.093750] 5584: [discriminator loss: 0.519830, acc: 0.750000] [adversarial loss: 0.979597, acc: 0.343750] 5585: [discriminator loss: 0.551677, acc: 0.703125] [adversarial loss: 1.023228, acc: 0.265625] 5586: [discriminator loss: 0.528572, acc: 0.750000] [adversarial loss: 1.209055, acc: 0.218750] 5587: [discriminator loss: 0.552787, acc: 0.679688] [adversarial loss: 1.049579, acc: 0.234375] 5588: [discriminator loss: 0.510460, acc: 0.734375] [adversarial loss: 1.327186, acc: 0.234375] 5589: [discriminator loss: 0.482483, acc: 0.796875] [adversarial loss: 1.175377, acc: 0.140625] 5590: [discriminator loss: 0.552020, acc: 0.710938] [adversarial loss: 1.030767, acc: 0.296875] 5591: [discriminator loss: 0.511996, acc: 0.742188] [adversarial loss: 1.255717, acc: 0.140625] 5592: [discriminator loss: 0.500895, acc: 0.750000] [adversarial loss: 1.144720, acc: 0.250000] 5593: [discriminator loss: 0.544209, acc: 0.734375] [adversarial loss: 1.304078, acc: 0.171875] 5594: [discriminator loss: 0.621752, acc: 0.640625] [adversarial loss: 1.014198, acc: 0.296875] 5595: [discriminator loss: 0.583379, acc: 0.710938] [adversarial loss: 1.317931, acc: 0.140625] 5596: [discriminator loss: 0.540551, acc: 0.726562] [adversarial loss: 1.145605, acc: 0.250000] 5597: [discriminator loss: 0.540046, acc: 0.742188] [adversarial loss: 1.028194, acc: 0.312500] 5598: [discriminator loss: 0.568341, acc: 0.726562] [adversarial loss: 1.562392, acc: 0.093750] 5599: [discriminator loss: 0.647080, acc: 0.625000] [adversarial loss: 0.765832, acc: 0.515625] 5600: [discriminator loss: 0.584452, acc: 0.664062] [adversarial loss: 1.607231, acc: 0.031250] 5601: [discriminator loss: 0.542167, acc: 0.734375] [adversarial loss: 0.942288, acc: 0.375000] 5602: [discriminator loss: 0.589681, acc: 0.695312] [adversarial loss: 1.380437, acc: 0.156250] 5603: [discriminator loss: 0.571986, acc: 0.718750] [adversarial loss: 1.033225, acc: 0.312500] 5604: [discriminator loss: 0.644087, acc: 0.726562] [adversarial loss: 1.463126, acc: 0.109375] 5605: [discriminator loss: 0.537509, acc: 0.687500] [adversarial loss: 1.085448, acc: 0.250000] 5606: [discriminator loss: 0.505145, acc: 0.804688] [adversarial loss: 0.970284, acc: 0.281250] 5607: [discriminator loss: 0.536234, acc: 0.710938] [adversarial loss: 1.235666, acc: 0.281250] 5608: [discriminator loss: 0.582895, acc: 0.625000] [adversarial loss: 0.738302, acc: 0.531250] 5609: [discriminator loss: 0.614859, acc: 0.632812] [adversarial loss: 1.335941, acc: 0.125000] 5610: [discriminator loss: 0.576205, acc: 0.710938] [adversarial loss: 0.928037, acc: 0.359375] 5611: [discriminator loss: 0.583677, acc: 0.718750] [adversarial loss: 1.205037, acc: 0.203125] 5612: [discriminator loss: 0.585933, acc: 0.656250] [adversarial loss: 1.123899, acc: 0.296875] 5613: [discriminator loss: 0.528395, acc: 0.750000] [adversarial loss: 0.957480, acc: 0.312500] 5614: [discriminator loss: 0.485067, acc: 0.804688] [adversarial loss: 1.166899, acc: 0.171875] 5615: [discriminator loss: 0.531870, acc: 0.734375] [adversarial loss: 1.303211, acc: 0.109375] 5616: [discriminator loss: 0.539360, acc: 0.757812] [adversarial loss: 1.215478, acc: 0.281250] 5617: [discriminator loss: 0.537753, acc: 0.695312] [adversarial loss: 1.417082, acc: 0.109375] 5618: [discriminator loss: 0.518157, acc: 0.742188] [adversarial loss: 1.244167, acc: 0.250000] 5619: [discriminator loss: 0.552321, acc: 0.695312] [adversarial loss: 0.981630, acc: 0.343750] 5620: [discriminator loss: 0.572958, acc: 0.687500] [adversarial loss: 1.210708, acc: 0.250000] 5621: [discriminator loss: 0.605685, acc: 0.609375] [adversarial loss: 1.001932, acc: 0.312500] 5622: [discriminator loss: 0.617838, acc: 0.671875] [adversarial loss: 1.148321, acc: 0.218750] 5623: [discriminator loss: 0.515732, acc: 0.734375] [adversarial loss: 1.224265, acc: 0.171875] 5624: [discriminator loss: 0.515974, acc: 0.765625] [adversarial loss: 0.997099, acc: 0.250000] 5625: [discriminator loss: 0.552274, acc: 0.757812] [adversarial loss: 1.296923, acc: 0.187500] 5626: [discriminator loss: 0.528572, acc: 0.695312] [adversarial loss: 1.054022, acc: 0.328125] 5627: [discriminator loss: 0.588898, acc: 0.671875] [adversarial loss: 1.103656, acc: 0.281250] 5628: [discriminator loss: 0.572363, acc: 0.703125] [adversarial loss: 1.337898, acc: 0.218750] 5629: [discriminator loss: 0.544976, acc: 0.710938] [adversarial loss: 0.848707, acc: 0.406250] 5630: [discriminator loss: 0.654306, acc: 0.648438] [adversarial loss: 1.822870, acc: 0.062500] 5631: [discriminator loss: 0.619295, acc: 0.648438] [adversarial loss: 0.821361, acc: 0.406250] 5632: [discriminator loss: 0.598521, acc: 0.632812] [adversarial loss: 1.493433, acc: 0.140625] 5633: [discriminator loss: 0.592162, acc: 0.679688] [adversarial loss: 0.893127, acc: 0.328125] 5634: [discriminator loss: 0.529317, acc: 0.742188] [adversarial loss: 1.294984, acc: 0.156250] 5635: [discriminator loss: 0.651220, acc: 0.640625] [adversarial loss: 1.140787, acc: 0.234375] 5636: [discriminator loss: 0.541510, acc: 0.750000] [adversarial loss: 1.109734, acc: 0.281250] 5637: [discriminator loss: 0.552733, acc: 0.726562] [adversarial loss: 0.989039, acc: 0.265625] 5638: [discriminator loss: 0.531015, acc: 0.726562] [adversarial loss: 1.354798, acc: 0.187500] 5639: [discriminator loss: 0.541554, acc: 0.695312] [adversarial loss: 1.331865, acc: 0.125000] 5640: [discriminator loss: 0.545765, acc: 0.750000] [adversarial loss: 1.100072, acc: 0.218750] 5641: [discriminator loss: 0.547214, acc: 0.710938] [adversarial loss: 1.072269, acc: 0.265625] 5642: [discriminator loss: 0.572866, acc: 0.695312] [adversarial loss: 1.192546, acc: 0.187500] 5643: [discriminator loss: 0.562175, acc: 0.679688] [adversarial loss: 0.948385, acc: 0.328125] 5644: [discriminator loss: 0.559131, acc: 0.710938] [adversarial loss: 1.136518, acc: 0.187500] 5645: [discriminator loss: 0.475218, acc: 0.757812] [adversarial loss: 1.072644, acc: 0.218750] 5646: [discriminator loss: 0.461903, acc: 0.773438] [adversarial loss: 1.072559, acc: 0.218750] 5647: [discriminator loss: 0.592706, acc: 0.679688] [adversarial loss: 1.232019, acc: 0.171875] 5648: [discriminator loss: 0.590048, acc: 0.625000] [adversarial loss: 1.489483, acc: 0.125000] 5649: [discriminator loss: 0.514033, acc: 0.750000] [adversarial loss: 0.944787, acc: 0.406250] 5650: [discriminator loss: 0.539978, acc: 0.679688] [adversarial loss: 1.591753, acc: 0.140625] 5651: [discriminator loss: 0.613525, acc: 0.664062] [adversarial loss: 0.698307, acc: 0.562500] 5652: [discriminator loss: 0.604176, acc: 0.687500] [adversarial loss: 1.866542, acc: 0.046875] 5653: [discriminator loss: 0.621723, acc: 0.679688] [adversarial loss: 1.057507, acc: 0.250000] 5654: [discriminator loss: 0.545296, acc: 0.742188] [adversarial loss: 1.124565, acc: 0.250000] 5655: [discriminator loss: 0.538187, acc: 0.742188] [adversarial loss: 1.110966, acc: 0.234375] 5656: [discriminator loss: 0.545480, acc: 0.687500] [adversarial loss: 1.119068, acc: 0.265625] 5657: [discriminator loss: 0.504182, acc: 0.781250] [adversarial loss: 1.184255, acc: 0.203125] 5658: [discriminator loss: 0.497334, acc: 0.742188] [adversarial loss: 1.213155, acc: 0.156250] 5659: [discriminator loss: 0.566406, acc: 0.703125] [adversarial loss: 1.097126, acc: 0.312500] 5660: [discriminator loss: 0.566159, acc: 0.734375] [adversarial loss: 1.006866, acc: 0.265625] 5661: [discriminator loss: 0.464818, acc: 0.773438] [adversarial loss: 1.260351, acc: 0.187500] 5662: [discriminator loss: 0.564422, acc: 0.679688] [adversarial loss: 1.076528, acc: 0.203125] 5663: [discriminator loss: 0.507022, acc: 0.757812] [adversarial loss: 1.258282, acc: 0.171875] 5664: [discriminator loss: 0.536651, acc: 0.742188] [adversarial loss: 0.860973, acc: 0.484375] 5665: [discriminator loss: 0.549125, acc: 0.687500] [adversarial loss: 1.438284, acc: 0.234375] 5666: [discriminator loss: 0.693339, acc: 0.625000] [adversarial loss: 1.095274, acc: 0.234375] 5667: [discriminator loss: 0.499835, acc: 0.789062] [adversarial loss: 1.284946, acc: 0.171875] 5668: [discriminator loss: 0.553726, acc: 0.695312] [adversarial loss: 0.833781, acc: 0.437500] 5669: [discriminator loss: 0.588771, acc: 0.726562] [adversarial loss: 1.537183, acc: 0.078125] 5670: [discriminator loss: 0.650840, acc: 0.632812] [adversarial loss: 0.835035, acc: 0.406250] 5671: [discriminator loss: 0.614927, acc: 0.687500] [adversarial loss: 1.327230, acc: 0.203125] 5672: [discriminator loss: 0.598434, acc: 0.656250] [adversarial loss: 0.857755, acc: 0.437500] 5673: [discriminator loss: 0.536977, acc: 0.726562] [adversarial loss: 1.064856, acc: 0.281250] 5674: [discriminator loss: 0.523463, acc: 0.757812] [adversarial loss: 1.102300, acc: 0.218750] 5675: [discriminator loss: 0.563840, acc: 0.640625] [adversarial loss: 1.474689, acc: 0.140625] 5676: [discriminator loss: 0.586420, acc: 0.679688] [adversarial loss: 0.798630, acc: 0.406250] 5677: [discriminator loss: 0.645940, acc: 0.648438] [adversarial loss: 1.326536, acc: 0.203125] 5678: [discriminator loss: 0.594170, acc: 0.726562] [adversarial loss: 0.980897, acc: 0.312500] 5679: [discriminator loss: 0.540589, acc: 0.734375] [adversarial loss: 1.151318, acc: 0.218750] 5680: [discriminator loss: 0.512066, acc: 0.750000] [adversarial loss: 1.059493, acc: 0.359375] 5681: [discriminator loss: 0.567081, acc: 0.726562] [adversarial loss: 1.233166, acc: 0.203125] 5682: [discriminator loss: 0.550870, acc: 0.656250] [adversarial loss: 1.089875, acc: 0.250000] 5683: [discriminator loss: 0.495651, acc: 0.773438] [adversarial loss: 1.130771, acc: 0.234375] 5684: [discriminator loss: 0.510424, acc: 0.718750] [adversarial loss: 1.123947, acc: 0.328125] 5685: [discriminator loss: 0.555555, acc: 0.718750] [adversarial loss: 1.097131, acc: 0.234375] 5686: [discriminator loss: 0.575918, acc: 0.695312] [adversarial loss: 1.155996, acc: 0.218750] 5687: [discriminator loss: 0.552386, acc: 0.656250] [adversarial loss: 0.943936, acc: 0.359375] 5688: [discriminator loss: 0.552850, acc: 0.710938] [adversarial loss: 1.473068, acc: 0.125000] 5689: [discriminator loss: 0.517997, acc: 0.750000] [adversarial loss: 1.234324, acc: 0.156250] 5690: [discriminator loss: 0.511065, acc: 0.789062] [adversarial loss: 1.500624, acc: 0.109375] 5691: [discriminator loss: 0.517478, acc: 0.726562] [adversarial loss: 1.112964, acc: 0.203125] 5692: [discriminator loss: 0.618385, acc: 0.617188] [adversarial loss: 1.167900, acc: 0.265625] 5693: [discriminator loss: 0.538925, acc: 0.765625] [adversarial loss: 1.276527, acc: 0.109375] 5694: [discriminator loss: 0.558897, acc: 0.695312] [adversarial loss: 1.040674, acc: 0.296875] 5695: [discriminator loss: 0.472002, acc: 0.757812] [adversarial loss: 1.300523, acc: 0.156250] 5696: [discriminator loss: 0.603723, acc: 0.625000] [adversarial loss: 0.816414, acc: 0.484375] 5697: [discriminator loss: 0.637317, acc: 0.625000] [adversarial loss: 1.529962, acc: 0.078125] 5698: [discriminator loss: 0.541627, acc: 0.710938] [adversarial loss: 1.082090, acc: 0.296875] 5699: [discriminator loss: 0.531340, acc: 0.734375] [adversarial loss: 1.276904, acc: 0.187500] 5700: [discriminator loss: 0.562811, acc: 0.703125] [adversarial loss: 0.726602, acc: 0.500000] 5701: [discriminator loss: 0.567519, acc: 0.726562] [adversarial loss: 1.394161, acc: 0.093750] 5702: [discriminator loss: 0.594455, acc: 0.695312] [adversarial loss: 0.821977, acc: 0.421875] 5703: [discriminator loss: 0.533451, acc: 0.757812] [adversarial loss: 1.270244, acc: 0.171875] 5704: [discriminator loss: 0.551661, acc: 0.679688] [adversarial loss: 1.022437, acc: 0.265625] 5705: [discriminator loss: 0.492447, acc: 0.750000] [adversarial loss: 1.196080, acc: 0.218750] 5706: [discriminator loss: 0.604725, acc: 0.718750] [adversarial loss: 1.257612, acc: 0.203125] 5707: [discriminator loss: 0.533446, acc: 0.710938] [adversarial loss: 0.999775, acc: 0.328125] 5708: [discriminator loss: 0.573570, acc: 0.718750] [adversarial loss: 1.362417, acc: 0.203125] 5709: [discriminator loss: 0.590838, acc: 0.671875] [adversarial loss: 0.683665, acc: 0.640625] 5710: [discriminator loss: 0.522376, acc: 0.734375] [adversarial loss: 1.579983, acc: 0.109375] 5711: [discriminator loss: 0.559055, acc: 0.718750] [adversarial loss: 0.952252, acc: 0.375000] 5712: [discriminator loss: 0.614268, acc: 0.687500] [adversarial loss: 1.086599, acc: 0.343750] 5713: [discriminator loss: 0.597279, acc: 0.671875] [adversarial loss: 1.124588, acc: 0.296875] 5714: [discriminator loss: 0.533463, acc: 0.710938] [adversarial loss: 1.228181, acc: 0.187500] 5715: [discriminator loss: 0.522542, acc: 0.726562] [adversarial loss: 1.057157, acc: 0.296875] 5716: [discriminator loss: 0.626954, acc: 0.656250] [adversarial loss: 1.493178, acc: 0.093750] 5717: [discriminator loss: 0.597499, acc: 0.664062] [adversarial loss: 0.888746, acc: 0.390625] 5718: [discriminator loss: 0.530299, acc: 0.726562] [adversarial loss: 1.053609, acc: 0.281250] 5719: [discriminator loss: 0.476541, acc: 0.804688] [adversarial loss: 1.162568, acc: 0.296875] 5720: [discriminator loss: 0.513230, acc: 0.718750] [adversarial loss: 1.204935, acc: 0.187500] 5721: [discriminator loss: 0.487849, acc: 0.750000] [adversarial loss: 1.087020, acc: 0.296875] 5722: [discriminator loss: 0.604858, acc: 0.640625] [adversarial loss: 1.269221, acc: 0.125000] 5723: [discriminator loss: 0.592763, acc: 0.648438] [adversarial loss: 0.968765, acc: 0.343750] 5724: [discriminator loss: 0.583505, acc: 0.695312] [adversarial loss: 1.398028, acc: 0.093750] 5725: [discriminator loss: 0.545722, acc: 0.695312] [adversarial loss: 1.198515, acc: 0.203125] 5726: [discriminator loss: 0.531353, acc: 0.765625] [adversarial loss: 1.338678, acc: 0.140625] 5727: [discriminator loss: 0.494431, acc: 0.742188] [adversarial loss: 0.879720, acc: 0.468750] 5728: [discriminator loss: 0.548655, acc: 0.742188] [adversarial loss: 1.344005, acc: 0.109375] 5729: [discriminator loss: 0.576450, acc: 0.718750] [adversarial loss: 0.932113, acc: 0.343750] 5730: [discriminator loss: 0.608900, acc: 0.609375] [adversarial loss: 1.141494, acc: 0.156250] 5731: [discriminator loss: 0.563564, acc: 0.726562] [adversarial loss: 1.301407, acc: 0.203125] 5732: [discriminator loss: 0.516368, acc: 0.742188] [adversarial loss: 0.916883, acc: 0.406250] 5733: [discriminator loss: 0.606737, acc: 0.679688] [adversarial loss: 1.485150, acc: 0.125000] 5734: [discriminator loss: 0.570369, acc: 0.742188] [adversarial loss: 0.918315, acc: 0.437500] 5735: [discriminator loss: 0.618308, acc: 0.671875] [adversarial loss: 1.407041, acc: 0.218750] 5736: [discriminator loss: 0.578634, acc: 0.687500] [adversarial loss: 1.008975, acc: 0.343750] 5737: [discriminator loss: 0.660065, acc: 0.648438] [adversarial loss: 1.592292, acc: 0.125000] 5738: [discriminator loss: 0.685449, acc: 0.609375] [adversarial loss: 0.946906, acc: 0.375000] 5739: [discriminator loss: 0.562665, acc: 0.679688] [adversarial loss: 1.318309, acc: 0.171875] 5740: [discriminator loss: 0.553998, acc: 0.718750] [adversarial loss: 0.899006, acc: 0.406250] 5741: [discriminator loss: 0.588221, acc: 0.664062] [adversarial loss: 1.304379, acc: 0.062500] 5742: [discriminator loss: 0.562888, acc: 0.734375] [adversarial loss: 1.132614, acc: 0.250000] 5743: [discriminator loss: 0.612253, acc: 0.656250] [adversarial loss: 0.826802, acc: 0.453125] 5744: [discriminator loss: 0.501467, acc: 0.773438] [adversarial loss: 1.414598, acc: 0.093750] 5745: [discriminator loss: 0.608552, acc: 0.671875] [adversarial loss: 0.921432, acc: 0.328125] 5746: [discriminator loss: 0.563555, acc: 0.742188] [adversarial loss: 1.441487, acc: 0.140625] 5747: [discriminator loss: 0.533347, acc: 0.734375] [adversarial loss: 1.136512, acc: 0.265625] 5748: [discriminator loss: 0.576980, acc: 0.765625] [adversarial loss: 1.167488, acc: 0.140625] 5749: [discriminator loss: 0.530520, acc: 0.710938] [adversarial loss: 1.320514, acc: 0.156250] 5750: [discriminator loss: 0.557254, acc: 0.687500] [adversarial loss: 1.119016, acc: 0.296875] 5751: [discriminator loss: 0.587931, acc: 0.687500] [adversarial loss: 1.194215, acc: 0.234375] 5752: [discriminator loss: 0.543785, acc: 0.734375] [adversarial loss: 1.119002, acc: 0.281250] 5753: [discriminator loss: 0.523512, acc: 0.773438] [adversarial loss: 1.040445, acc: 0.296875] 5754: [discriminator loss: 0.517935, acc: 0.757812] [adversarial loss: 1.210141, acc: 0.218750] 5755: [discriminator loss: 0.557444, acc: 0.718750] [adversarial loss: 0.945899, acc: 0.437500] 5756: [discriminator loss: 0.520299, acc: 0.703125] [adversarial loss: 1.383328, acc: 0.171875] 5757: [discriminator loss: 0.560539, acc: 0.648438] [adversarial loss: 0.832837, acc: 0.500000] 5758: [discriminator loss: 0.572800, acc: 0.671875] [adversarial loss: 1.207733, acc: 0.140625] 5759: [discriminator loss: 0.524266, acc: 0.750000] [adversarial loss: 0.993169, acc: 0.343750] 5760: [discriminator loss: 0.591670, acc: 0.703125] [adversarial loss: 1.201852, acc: 0.156250] 5761: [discriminator loss: 0.614658, acc: 0.687500] [adversarial loss: 1.148355, acc: 0.234375] 5762: [discriminator loss: 0.514885, acc: 0.742188] [adversarial loss: 1.049296, acc: 0.234375] 5763: [discriminator loss: 0.605914, acc: 0.648438] [adversarial loss: 1.300977, acc: 0.140625] 5764: [discriminator loss: 0.555462, acc: 0.679688] [adversarial loss: 0.727263, acc: 0.546875] 5765: [discriminator loss: 0.611154, acc: 0.664062] [adversarial loss: 1.499025, acc: 0.156250] 5766: [discriminator loss: 0.589942, acc: 0.640625] [adversarial loss: 0.766271, acc: 0.500000] 5767: [discriminator loss: 0.547113, acc: 0.734375] [adversarial loss: 1.299705, acc: 0.140625] 5768: [discriminator loss: 0.545602, acc: 0.757812] [adversarial loss: 0.974831, acc: 0.343750] 5769: [discriminator loss: 0.515597, acc: 0.742188] [adversarial loss: 1.200739, acc: 0.203125] 5770: [discriminator loss: 0.559899, acc: 0.734375] [adversarial loss: 0.852808, acc: 0.406250] 5771: [discriminator loss: 0.604292, acc: 0.625000] [adversarial loss: 1.139952, acc: 0.296875] 5772: [discriminator loss: 0.498590, acc: 0.796875] [adversarial loss: 1.039903, acc: 0.234375] 5773: [discriminator loss: 0.551875, acc: 0.710938] [adversarial loss: 1.312202, acc: 0.140625] 5774: [discriminator loss: 0.555814, acc: 0.718750] [adversarial loss: 1.152277, acc: 0.218750] 5775: [discriminator loss: 0.551055, acc: 0.726562] [adversarial loss: 1.105829, acc: 0.281250] 5776: [discriminator loss: 0.603998, acc: 0.640625] [adversarial loss: 1.082510, acc: 0.265625] 5777: [discriminator loss: 0.550574, acc: 0.742188] [adversarial loss: 1.104145, acc: 0.281250] 5778: [discriminator loss: 0.566911, acc: 0.687500] [adversarial loss: 1.149138, acc: 0.140625] 5779: [discriminator loss: 0.595044, acc: 0.664062] [adversarial loss: 0.890694, acc: 0.343750] 5780: [discriminator loss: 0.598791, acc: 0.679688] [adversarial loss: 1.090960, acc: 0.281250] 5781: [discriminator loss: 0.598431, acc: 0.695312] [adversarial loss: 0.940193, acc: 0.312500] 5782: [discriminator loss: 0.585494, acc: 0.710938] [adversarial loss: 1.147467, acc: 0.203125] 5783: [discriminator loss: 0.645546, acc: 0.593750] [adversarial loss: 1.044563, acc: 0.406250] 5784: [discriminator loss: 0.603708, acc: 0.718750] [adversarial loss: 1.237615, acc: 0.187500] 5785: [discriminator loss: 0.615303, acc: 0.640625] [adversarial loss: 1.083639, acc: 0.203125] 5786: [discriminator loss: 0.536067, acc: 0.765625] [adversarial loss: 1.267105, acc: 0.171875] 5787: [discriminator loss: 0.537622, acc: 0.710938] [adversarial loss: 0.981905, acc: 0.281250] 5788: [discriminator loss: 0.506534, acc: 0.757812] [adversarial loss: 1.290210, acc: 0.156250] 5789: [discriminator loss: 0.582621, acc: 0.687500] [adversarial loss: 0.894050, acc: 0.375000] 5790: [discriminator loss: 0.575548, acc: 0.695312] [adversarial loss: 1.420666, acc: 0.109375] 5791: [discriminator loss: 0.554021, acc: 0.718750] [adversarial loss: 0.923799, acc: 0.343750] 5792: [discriminator loss: 0.654907, acc: 0.609375] [adversarial loss: 1.466694, acc: 0.140625] 5793: [discriminator loss: 0.527234, acc: 0.742188] [adversarial loss: 0.950850, acc: 0.296875] 5794: [discriminator loss: 0.543686, acc: 0.718750] [adversarial loss: 1.299029, acc: 0.187500] 5795: [discriminator loss: 0.515669, acc: 0.750000] [adversarial loss: 1.058117, acc: 0.296875] 5796: [discriminator loss: 0.555161, acc: 0.710938] [adversarial loss: 1.067989, acc: 0.281250] 5797: [discriminator loss: 0.607606, acc: 0.695312] [adversarial loss: 1.227870, acc: 0.218750] 5798: [discriminator loss: 0.550510, acc: 0.734375] [adversarial loss: 0.990209, acc: 0.328125] 5799: [discriminator loss: 0.487067, acc: 0.789062] [adversarial loss: 1.237069, acc: 0.265625] 5800: [discriminator loss: 0.539799, acc: 0.710938] [adversarial loss: 0.996043, acc: 0.265625] 5801: [discriminator loss: 0.559174, acc: 0.703125] [adversarial loss: 1.113941, acc: 0.265625] 5802: [discriminator loss: 0.530489, acc: 0.750000] [adversarial loss: 1.220861, acc: 0.203125] 5803: [discriminator loss: 0.489653, acc: 0.757812] [adversarial loss: 1.154924, acc: 0.265625] 5804: [discriminator loss: 0.525407, acc: 0.742188] [adversarial loss: 1.364502, acc: 0.140625] 5805: [discriminator loss: 0.484057, acc: 0.781250] [adversarial loss: 1.067788, acc: 0.281250] 5806: [discriminator loss: 0.579042, acc: 0.679688] [adversarial loss: 1.408593, acc: 0.125000] 5807: [discriminator loss: 0.504217, acc: 0.773438] [adversarial loss: 1.063170, acc: 0.343750] 5808: [discriminator loss: 0.529136, acc: 0.687500] [adversarial loss: 1.450673, acc: 0.203125] 5809: [discriminator loss: 0.511795, acc: 0.703125] [adversarial loss: 1.101654, acc: 0.312500] 5810: [discriminator loss: 0.552408, acc: 0.726562] [adversarial loss: 1.350147, acc: 0.218750] 5811: [discriminator loss: 0.526764, acc: 0.687500] [adversarial loss: 0.961616, acc: 0.421875] 5812: [discriminator loss: 0.555092, acc: 0.757812] [adversarial loss: 1.548411, acc: 0.046875] 5813: [discriminator loss: 0.546977, acc: 0.742188] [adversarial loss: 1.098249, acc: 0.312500] 5814: [discriminator loss: 0.509354, acc: 0.726562] [adversarial loss: 1.099857, acc: 0.218750] 5815: [discriminator loss: 0.576399, acc: 0.664062] [adversarial loss: 1.264750, acc: 0.171875] 5816: [discriminator loss: 0.542284, acc: 0.734375] [adversarial loss: 0.726169, acc: 0.578125] 5817: [discriminator loss: 0.590661, acc: 0.671875] [adversarial loss: 1.500482, acc: 0.109375] 5818: [discriminator loss: 0.582458, acc: 0.703125] [adversarial loss: 0.885678, acc: 0.421875] 5819: [discriminator loss: 0.572482, acc: 0.718750] [adversarial loss: 1.269577, acc: 0.281250] 5820: [discriminator loss: 0.483598, acc: 0.726562] [adversarial loss: 1.192018, acc: 0.218750] 5821: [discriminator loss: 0.545759, acc: 0.726562] [adversarial loss: 1.195091, acc: 0.296875] 5822: [discriminator loss: 0.559839, acc: 0.687500] [adversarial loss: 1.075597, acc: 0.281250] 5823: [discriminator loss: 0.505607, acc: 0.750000] [adversarial loss: 1.077944, acc: 0.265625] 5824: [discriminator loss: 0.572906, acc: 0.671875] [adversarial loss: 1.294499, acc: 0.140625] 5825: [discriminator loss: 0.505530, acc: 0.750000] [adversarial loss: 1.141721, acc: 0.250000] 5826: [discriminator loss: 0.540434, acc: 0.710938] [adversarial loss: 1.169172, acc: 0.187500] 5827: [discriminator loss: 0.466832, acc: 0.796875] [adversarial loss: 1.260308, acc: 0.218750] 5828: [discriminator loss: 0.510567, acc: 0.757812] [adversarial loss: 1.322463, acc: 0.203125] 5829: [discriminator loss: 0.646385, acc: 0.648438] [adversarial loss: 0.950050, acc: 0.468750] 5830: [discriminator loss: 0.529421, acc: 0.726562] [adversarial loss: 1.364741, acc: 0.109375] 5831: [discriminator loss: 0.571809, acc: 0.679688] [adversarial loss: 1.172292, acc: 0.281250] 5832: [discriminator loss: 0.591054, acc: 0.703125] [adversarial loss: 1.503263, acc: 0.156250] 5833: [discriminator loss: 0.664113, acc: 0.640625] [adversarial loss: 0.931161, acc: 0.359375] 5834: [discriminator loss: 0.574275, acc: 0.679688] [adversarial loss: 1.384919, acc: 0.187500] 5835: [discriminator loss: 0.554309, acc: 0.718750] [adversarial loss: 0.921964, acc: 0.421875] 5836: [discriminator loss: 0.560272, acc: 0.710938] [adversarial loss: 1.234630, acc: 0.171875] 5837: [discriminator loss: 0.476250, acc: 0.773438] [adversarial loss: 1.063232, acc: 0.265625] 5838: [discriminator loss: 0.489686, acc: 0.781250] [adversarial loss: 1.145398, acc: 0.281250] 5839: [discriminator loss: 0.548202, acc: 0.726562] [adversarial loss: 1.383661, acc: 0.125000] 5840: [discriminator loss: 0.555185, acc: 0.679688] [adversarial loss: 1.229246, acc: 0.218750] 5841: [discriminator loss: 0.588601, acc: 0.671875] [adversarial loss: 1.296661, acc: 0.171875] 5842: [discriminator loss: 0.535303, acc: 0.695312] [adversarial loss: 1.171576, acc: 0.218750] 5843: [discriminator loss: 0.528987, acc: 0.734375] [adversarial loss: 1.024311, acc: 0.328125] 5844: [discriminator loss: 0.544261, acc: 0.695312] [adversarial loss: 1.277354, acc: 0.156250] 5845: [discriminator loss: 0.515753, acc: 0.773438] [adversarial loss: 1.103996, acc: 0.296875] 5846: [discriminator loss: 0.486079, acc: 0.734375] [adversarial loss: 1.513242, acc: 0.125000] 5847: [discriminator loss: 0.615534, acc: 0.726562] [adversarial loss: 1.014235, acc: 0.296875] 5848: [discriminator loss: 0.569427, acc: 0.710938] [adversarial loss: 1.315829, acc: 0.171875] 5849: [discriminator loss: 0.541430, acc: 0.710938] [adversarial loss: 0.916052, acc: 0.406250] 5850: [discriminator loss: 0.545826, acc: 0.679688] [adversarial loss: 1.218162, acc: 0.234375] 5851: [discriminator loss: 0.542430, acc: 0.781250] [adversarial loss: 1.012113, acc: 0.328125] 5852: [discriminator loss: 0.483409, acc: 0.750000] [adversarial loss: 1.027996, acc: 0.265625] 5853: [discriminator loss: 0.495419, acc: 0.781250] [adversarial loss: 1.083482, acc: 0.234375] 5854: [discriminator loss: 0.609848, acc: 0.679688] [adversarial loss: 0.941688, acc: 0.375000] 5855: [discriminator loss: 0.561890, acc: 0.679688] [adversarial loss: 1.337365, acc: 0.078125] 5856: [discriminator loss: 0.496556, acc: 0.742188] [adversarial loss: 1.204492, acc: 0.250000] 5857: [discriminator loss: 0.572506, acc: 0.679688] [adversarial loss: 0.832819, acc: 0.531250] 5858: [discriminator loss: 0.602454, acc: 0.695312] [adversarial loss: 1.372266, acc: 0.140625] 5859: [discriminator loss: 0.540038, acc: 0.726562] [adversarial loss: 1.035112, acc: 0.281250] 5860: [discriminator loss: 0.567321, acc: 0.640625] [adversarial loss: 1.478373, acc: 0.078125] 5861: [discriminator loss: 0.626494, acc: 0.671875] [adversarial loss: 0.990535, acc: 0.312500] 5862: [discriminator loss: 0.609057, acc: 0.671875] [adversarial loss: 1.493192, acc: 0.062500] 5863: [discriminator loss: 0.579511, acc: 0.687500] [adversarial loss: 0.764203, acc: 0.453125] 5864: [discriminator loss: 0.548205, acc: 0.687500] [adversarial loss: 1.278242, acc: 0.218750] 5865: [discriminator loss: 0.557090, acc: 0.703125] [adversarial loss: 0.780322, acc: 0.453125] 5866: [discriminator loss: 0.578266, acc: 0.695312] [adversarial loss: 1.383747, acc: 0.171875] 5867: [discriminator loss: 0.569892, acc: 0.710938] [adversarial loss: 1.135478, acc: 0.265625] 5868: [discriminator loss: 0.544846, acc: 0.695312] [adversarial loss: 1.103657, acc: 0.250000] 5869: [discriminator loss: 0.522298, acc: 0.710938] [adversarial loss: 1.338285, acc: 0.125000] 5870: [discriminator loss: 0.542652, acc: 0.695312] [adversarial loss: 1.097882, acc: 0.296875] 5871: [discriminator loss: 0.568246, acc: 0.671875] [adversarial loss: 1.258993, acc: 0.234375] 5872: [discriminator loss: 0.588460, acc: 0.679688] [adversarial loss: 1.084197, acc: 0.312500] 5873: [discriminator loss: 0.550168, acc: 0.734375] [adversarial loss: 1.309603, acc: 0.156250] 5874: [discriminator loss: 0.466227, acc: 0.757812] [adversarial loss: 1.097421, acc: 0.328125] 5875: [discriminator loss: 0.576157, acc: 0.656250] [adversarial loss: 1.289675, acc: 0.171875] 5876: [discriminator loss: 0.575008, acc: 0.703125] [adversarial loss: 0.837083, acc: 0.453125] 5877: [discriminator loss: 0.592066, acc: 0.640625] [adversarial loss: 1.410452, acc: 0.062500] 5878: [discriminator loss: 0.510760, acc: 0.695312] [adversarial loss: 0.863657, acc: 0.453125] 5879: [discriminator loss: 0.514656, acc: 0.726562] [adversarial loss: 1.201155, acc: 0.312500] 5880: [discriminator loss: 0.518893, acc: 0.726562] [adversarial loss: 0.926259, acc: 0.375000] 5881: [discriminator loss: 0.574159, acc: 0.742188] [adversarial loss: 1.332991, acc: 0.156250] 5882: [discriminator loss: 0.481687, acc: 0.781250] [adversarial loss: 1.005180, acc: 0.390625] 5883: [discriminator loss: 0.535397, acc: 0.773438] [adversarial loss: 0.963172, acc: 0.343750] 5884: [discriminator loss: 0.628678, acc: 0.640625] [adversarial loss: 0.926957, acc: 0.359375] 5885: [discriminator loss: 0.537000, acc: 0.742188] [adversarial loss: 1.200366, acc: 0.218750] 5886: [discriminator loss: 0.506384, acc: 0.835938] [adversarial loss: 0.854911, acc: 0.421875] 5887: [discriminator loss: 0.598001, acc: 0.703125] [adversarial loss: 1.580437, acc: 0.078125] 5888: [discriminator loss: 0.523047, acc: 0.742188] [adversarial loss: 0.798900, acc: 0.500000] 5889: [discriminator loss: 0.531470, acc: 0.710938] [adversarial loss: 1.397001, acc: 0.109375] 5890: [discriminator loss: 0.494879, acc: 0.773438] [adversarial loss: 1.014234, acc: 0.281250] 5891: [discriminator loss: 0.566767, acc: 0.687500] [adversarial loss: 1.288121, acc: 0.156250] 5892: [discriminator loss: 0.559467, acc: 0.742188] [adversarial loss: 1.399914, acc: 0.156250] 5893: [discriminator loss: 0.505391, acc: 0.773438] [adversarial loss: 1.119311, acc: 0.296875] 5894: [discriminator loss: 0.498508, acc: 0.765625] [adversarial loss: 1.136469, acc: 0.250000] 5895: [discriminator loss: 0.463267, acc: 0.781250] [adversarial loss: 1.033827, acc: 0.343750] 5896: [discriminator loss: 0.639626, acc: 0.632812] [adversarial loss: 1.633528, acc: 0.078125] 5897: [discriminator loss: 0.591628, acc: 0.664062] [adversarial loss: 0.735969, acc: 0.546875] 5898: [discriminator loss: 0.609688, acc: 0.671875] [adversarial loss: 1.491974, acc: 0.109375] 5899: [discriminator loss: 0.528915, acc: 0.726562] [adversarial loss: 0.931856, acc: 0.343750] 5900: [discriminator loss: 0.532775, acc: 0.750000] [adversarial loss: 1.190180, acc: 0.203125] 5901: [discriminator loss: 0.566665, acc: 0.695312] [adversarial loss: 1.103832, acc: 0.203125] 5902: [discriminator loss: 0.496597, acc: 0.742188] [adversarial loss: 1.560443, acc: 0.046875] 5903: [discriminator loss: 0.510247, acc: 0.726562] [adversarial loss: 1.053962, acc: 0.296875] 5904: [discriminator loss: 0.538708, acc: 0.710938] [adversarial loss: 1.161743, acc: 0.218750] 5905: [discriminator loss: 0.605073, acc: 0.648438] [adversarial loss: 1.221689, acc: 0.218750] 5906: [discriminator loss: 0.520852, acc: 0.734375] [adversarial loss: 1.225638, acc: 0.218750] 5907: [discriminator loss: 0.596132, acc: 0.703125] [adversarial loss: 1.158708, acc: 0.218750] 5908: [discriminator loss: 0.605944, acc: 0.679688] [adversarial loss: 0.961213, acc: 0.328125] 5909: [discriminator loss: 0.555677, acc: 0.679688] [adversarial loss: 1.235336, acc: 0.156250] 5910: [discriminator loss: 0.564369, acc: 0.726562] [adversarial loss: 0.940973, acc: 0.390625] 5911: [discriminator loss: 0.637098, acc: 0.648438] [adversarial loss: 1.541982, acc: 0.093750] 5912: [discriminator loss: 0.563597, acc: 0.703125] [adversarial loss: 0.971760, acc: 0.359375] 5913: [discriminator loss: 0.530352, acc: 0.773438] [adversarial loss: 1.149665, acc: 0.234375] 5914: [discriminator loss: 0.521281, acc: 0.757812] [adversarial loss: 1.086962, acc: 0.265625] 5915: [discriminator loss: 0.529894, acc: 0.750000] [adversarial loss: 1.150071, acc: 0.250000] 5916: [discriminator loss: 0.554312, acc: 0.718750] [adversarial loss: 1.152372, acc: 0.250000] 5917: [discriminator loss: 0.538944, acc: 0.734375] [adversarial loss: 0.985206, acc: 0.375000] 5918: [discriminator loss: 0.522902, acc: 0.742188] [adversarial loss: 1.085143, acc: 0.281250] 5919: [discriminator loss: 0.581013, acc: 0.703125] [adversarial loss: 1.314289, acc: 0.171875] 5920: [discriminator loss: 0.547013, acc: 0.718750] [adversarial loss: 0.883215, acc: 0.421875] 5921: [discriminator loss: 0.580468, acc: 0.710938] [adversarial loss: 1.562473, acc: 0.093750] 5922: [discriminator loss: 0.546845, acc: 0.718750] [adversarial loss: 1.070125, acc: 0.250000] 5923: [discriminator loss: 0.511037, acc: 0.703125] [adversarial loss: 1.632223, acc: 0.093750] 5924: [discriminator loss: 0.553890, acc: 0.687500] [adversarial loss: 0.887500, acc: 0.546875] 5925: [discriminator loss: 0.621359, acc: 0.617188] [adversarial loss: 1.752906, acc: 0.062500] 5926: [discriminator loss: 0.606771, acc: 0.679688] [adversarial loss: 1.002297, acc: 0.296875] 5927: [discriminator loss: 0.661571, acc: 0.648438] [adversarial loss: 1.280585, acc: 0.125000] 5928: [discriminator loss: 0.490853, acc: 0.781250] [adversarial loss: 0.903292, acc: 0.437500] 5929: [discriminator loss: 0.592603, acc: 0.687500] [adversarial loss: 1.421224, acc: 0.125000] 5930: [discriminator loss: 0.567316, acc: 0.687500] [adversarial loss: 0.873911, acc: 0.421875] 5931: [discriminator loss: 0.555911, acc: 0.703125] [adversarial loss: 1.314501, acc: 0.187500] 5932: [discriminator loss: 0.636717, acc: 0.648438] [adversarial loss: 1.005473, acc: 0.281250] 5933: [discriminator loss: 0.552551, acc: 0.718750] [adversarial loss: 1.256182, acc: 0.156250] 5934: [discriminator loss: 0.579619, acc: 0.687500] [adversarial loss: 1.279204, acc: 0.187500] 5935: [discriminator loss: 0.569224, acc: 0.679688] [adversarial loss: 1.089492, acc: 0.250000] 5936: [discriminator loss: 0.524738, acc: 0.679688] [adversarial loss: 1.167731, acc: 0.265625] 5937: [discriminator loss: 0.589294, acc: 0.687500] [adversarial loss: 1.273277, acc: 0.203125] 5938: [discriminator loss: 0.476922, acc: 0.796875] [adversarial loss: 1.193172, acc: 0.203125] 5939: [discriminator loss: 0.574126, acc: 0.703125] [adversarial loss: 1.192171, acc: 0.250000] 5940: [discriminator loss: 0.530377, acc: 0.734375] [adversarial loss: 1.354255, acc: 0.187500] 5941: [discriminator loss: 0.548888, acc: 0.679688] [adversarial loss: 1.205879, acc: 0.187500] 5942: [discriminator loss: 0.579774, acc: 0.695312] [adversarial loss: 0.916248, acc: 0.343750] 5943: [discriminator loss: 0.565076, acc: 0.734375] [adversarial loss: 1.560820, acc: 0.046875] 5944: [discriminator loss: 0.520824, acc: 0.757812] [adversarial loss: 1.016153, acc: 0.281250] 5945: [discriminator loss: 0.578660, acc: 0.703125] [adversarial loss: 1.537325, acc: 0.140625] 5946: [discriminator loss: 0.580765, acc: 0.656250] [adversarial loss: 0.987824, acc: 0.265625] 5947: [discriminator loss: 0.534677, acc: 0.757812] [adversarial loss: 1.189698, acc: 0.203125] 5948: [discriminator loss: 0.555799, acc: 0.734375] [adversarial loss: 1.199196, acc: 0.218750] 5949: [discriminator loss: 0.522909, acc: 0.710938] [adversarial loss: 1.115210, acc: 0.312500] 5950: [discriminator loss: 0.575302, acc: 0.726562] [adversarial loss: 1.238916, acc: 0.109375] 5951: [discriminator loss: 0.538443, acc: 0.703125] [adversarial loss: 1.165539, acc: 0.250000] 5952: [discriminator loss: 0.504520, acc: 0.718750] [adversarial loss: 1.183345, acc: 0.171875] 5953: [discriminator loss: 0.573585, acc: 0.710938] [adversarial loss: 1.144452, acc: 0.218750] 5954: [discriminator loss: 0.518804, acc: 0.734375] [adversarial loss: 1.175732, acc: 0.218750] 5955: [discriminator loss: 0.544526, acc: 0.718750] [adversarial loss: 1.204296, acc: 0.203125] 5956: [discriminator loss: 0.537871, acc: 0.710938] [adversarial loss: 1.092126, acc: 0.281250] 5957: [discriminator loss: 0.563090, acc: 0.750000] [adversarial loss: 1.192154, acc: 0.281250] 5958: [discriminator loss: 0.506133, acc: 0.773438] [adversarial loss: 1.137855, acc: 0.218750] 5959: [discriminator loss: 0.518520, acc: 0.703125] [adversarial loss: 1.319374, acc: 0.156250] 5960: [discriminator loss: 0.528080, acc: 0.742188] [adversarial loss: 1.020553, acc: 0.375000] 5961: [discriminator loss: 0.514929, acc: 0.750000] [adversarial loss: 1.475416, acc: 0.156250] 5962: [discriminator loss: 0.641833, acc: 0.632812] [adversarial loss: 0.747510, acc: 0.468750] 5963: [discriminator loss: 0.620270, acc: 0.664062] [adversarial loss: 1.603765, acc: 0.046875] 5964: [discriminator loss: 0.542353, acc: 0.742188] [adversarial loss: 0.952890, acc: 0.359375] 5965: [discriminator loss: 0.591037, acc: 0.632812] [adversarial loss: 1.366310, acc: 0.078125] 5966: [discriminator loss: 0.481175, acc: 0.765625] [adversarial loss: 0.965169, acc: 0.343750] 5967: [discriminator loss: 0.568919, acc: 0.726562] [adversarial loss: 1.455748, acc: 0.125000] 5968: [discriminator loss: 0.579251, acc: 0.671875] [adversarial loss: 1.009809, acc: 0.218750] 5969: [discriminator loss: 0.648114, acc: 0.664062] [adversarial loss: 1.357614, acc: 0.156250] 5970: [discriminator loss: 0.589613, acc: 0.718750] [adversarial loss: 0.899283, acc: 0.390625] 5971: [discriminator loss: 0.592340, acc: 0.687500] [adversarial loss: 1.259064, acc: 0.203125] 5972: [discriminator loss: 0.563832, acc: 0.703125] [adversarial loss: 1.204345, acc: 0.234375] 5973: [discriminator loss: 0.514425, acc: 0.742188] [adversarial loss: 1.274938, acc: 0.203125] 5974: [discriminator loss: 0.505962, acc: 0.750000] [adversarial loss: 1.308650, acc: 0.203125] 5975: [discriminator loss: 0.549278, acc: 0.710938] [adversarial loss: 1.060694, acc: 0.265625] 5976: [discriminator loss: 0.645537, acc: 0.648438] [adversarial loss: 1.090701, acc: 0.296875] 5977: [discriminator loss: 0.503976, acc: 0.781250] [adversarial loss: 1.187346, acc: 0.140625] 5978: [discriminator loss: 0.548287, acc: 0.703125] [adversarial loss: 1.120278, acc: 0.203125] 5979: [discriminator loss: 0.599789, acc: 0.625000] [adversarial loss: 1.135338, acc: 0.359375] 5980: [discriminator loss: 0.542350, acc: 0.750000] [adversarial loss: 1.129731, acc: 0.218750] 5981: [discriminator loss: 0.502149, acc: 0.750000] [adversarial loss: 1.324487, acc: 0.125000] 5982: [discriminator loss: 0.577187, acc: 0.687500] [adversarial loss: 1.156686, acc: 0.250000] 5983: [discriminator loss: 0.524682, acc: 0.734375] [adversarial loss: 1.053525, acc: 0.234375] 5984: [discriminator loss: 0.554844, acc: 0.710938] [adversarial loss: 1.021155, acc: 0.250000] 5985: [discriminator loss: 0.551209, acc: 0.734375] [adversarial loss: 1.241452, acc: 0.203125] 5986: [discriminator loss: 0.569603, acc: 0.718750] [adversarial loss: 1.125921, acc: 0.296875] 5987: [discriminator loss: 0.601377, acc: 0.687500] [adversarial loss: 1.043497, acc: 0.296875] 5988: [discriminator loss: 0.623150, acc: 0.679688] [adversarial loss: 1.220053, acc: 0.203125] 5989: [discriminator loss: 0.598263, acc: 0.671875] [adversarial loss: 1.152993, acc: 0.187500] 5990: [discriminator loss: 0.514162, acc: 0.726562] [adversarial loss: 1.321753, acc: 0.187500] 5991: [discriminator loss: 0.564522, acc: 0.687500] [adversarial loss: 0.941538, acc: 0.312500] 5992: [discriminator loss: 0.495583, acc: 0.796875] [adversarial loss: 1.587463, acc: 0.125000] 5993: [discriminator loss: 0.625448, acc: 0.664062] [adversarial loss: 0.714561, acc: 0.515625] 5994: [discriminator loss: 0.573194, acc: 0.656250] [adversarial loss: 1.694694, acc: 0.078125] 5995: [discriminator loss: 0.574693, acc: 0.695312] [adversarial loss: 0.788709, acc: 0.421875] 5996: [discriminator loss: 0.574408, acc: 0.687500] [adversarial loss: 1.347255, acc: 0.140625] 5997: [discriminator loss: 0.572546, acc: 0.703125] [adversarial loss: 0.871168, acc: 0.421875] 5998: [discriminator loss: 0.608913, acc: 0.687500] [adversarial loss: 1.526314, acc: 0.125000] 5999: [discriminator loss: 0.599955, acc: 0.648438] [adversarial loss: 0.918250, acc: 0.359375] 6000: [discriminator loss: 0.577904, acc: 0.726562] [adversarial loss: 1.258814, acc: 0.156250] 6001: [discriminator loss: 0.580436, acc: 0.648438] [adversarial loss: 0.988752, acc: 0.359375] 6002: [discriminator loss: 0.606053, acc: 0.718750] [adversarial loss: 1.099874, acc: 0.171875] 6003: [discriminator loss: 0.485773, acc: 0.796875] [adversarial loss: 1.389357, acc: 0.093750] 6004: [discriminator loss: 0.527408, acc: 0.718750] [adversarial loss: 1.198188, acc: 0.187500] 6005: [discriminator loss: 0.549710, acc: 0.710938] [adversarial loss: 1.175180, acc: 0.171875] 6006: [discriminator loss: 0.549900, acc: 0.710938] [adversarial loss: 0.954038, acc: 0.281250] 6007: [discriminator loss: 0.571404, acc: 0.679688] [adversarial loss: 1.309452, acc: 0.078125] 6008: [discriminator loss: 0.522609, acc: 0.750000] [adversarial loss: 0.854171, acc: 0.406250] 6009: [discriminator loss: 0.491173, acc: 0.734375] [adversarial loss: 1.323898, acc: 0.156250] 6010: [discriminator loss: 0.521735, acc: 0.726562] [adversarial loss: 0.782338, acc: 0.484375] 6011: [discriminator loss: 0.606813, acc: 0.687500] [adversarial loss: 1.270028, acc: 0.203125] 6012: [discriminator loss: 0.537758, acc: 0.695312] [adversarial loss: 0.915951, acc: 0.375000] 6013: [discriminator loss: 0.561812, acc: 0.687500] [adversarial loss: 1.386283, acc: 0.140625] 6014: [discriminator loss: 0.604824, acc: 0.703125] [adversarial loss: 0.987459, acc: 0.296875] 6015: [discriminator loss: 0.551582, acc: 0.726562] [adversarial loss: 1.125348, acc: 0.187500] 6016: [discriminator loss: 0.540887, acc: 0.703125] [adversarial loss: 1.158517, acc: 0.140625] 6017: [discriminator loss: 0.549213, acc: 0.710938] [adversarial loss: 1.237544, acc: 0.171875] 6018: [discriminator loss: 0.569582, acc: 0.710938] [adversarial loss: 0.894317, acc: 0.359375] 6019: [discriminator loss: 0.533061, acc: 0.710938] [adversarial loss: 1.305506, acc: 0.171875] 6020: [discriminator loss: 0.439048, acc: 0.804688] [adversarial loss: 0.863851, acc: 0.390625] 6021: [discriminator loss: 0.605665, acc: 0.671875] [adversarial loss: 1.546623, acc: 0.062500] 6022: [discriminator loss: 0.626583, acc: 0.656250] [adversarial loss: 0.909497, acc: 0.359375] 6023: [discriminator loss: 0.551192, acc: 0.742188] [adversarial loss: 1.482616, acc: 0.140625] 6024: [discriminator loss: 0.549740, acc: 0.695312] [adversarial loss: 0.878720, acc: 0.390625] 6025: [discriminator loss: 0.542096, acc: 0.750000] [adversarial loss: 1.396097, acc: 0.140625] 6026: [discriminator loss: 0.548524, acc: 0.703125] [adversarial loss: 1.038925, acc: 0.328125] 6027: [discriminator loss: 0.622543, acc: 0.679688] [adversarial loss: 1.198595, acc: 0.250000] 6028: [discriminator loss: 0.538695, acc: 0.742188] [adversarial loss: 1.278754, acc: 0.156250] 6029: [discriminator loss: 0.559652, acc: 0.687500] [adversarial loss: 1.057148, acc: 0.187500] 6030: [discriminator loss: 0.533071, acc: 0.726562] [adversarial loss: 1.197237, acc: 0.187500] 6031: [discriminator loss: 0.613186, acc: 0.632812] [adversarial loss: 1.342891, acc: 0.140625] 6032: [discriminator loss: 0.592712, acc: 0.695312] [adversarial loss: 0.908975, acc: 0.421875] 6033: [discriminator loss: 0.536998, acc: 0.718750] [adversarial loss: 1.212549, acc: 0.203125] 6034: [discriminator loss: 0.521935, acc: 0.765625] [adversarial loss: 1.079227, acc: 0.234375] 6035: [discriminator loss: 0.606962, acc: 0.671875] [adversarial loss: 1.164975, acc: 0.234375] 6036: [discriminator loss: 0.533155, acc: 0.765625] [adversarial loss: 1.133112, acc: 0.281250] 6037: [discriminator loss: 0.518065, acc: 0.789062] [adversarial loss: 1.267494, acc: 0.171875] 6038: [discriminator loss: 0.514549, acc: 0.750000] [adversarial loss: 1.264966, acc: 0.156250] 6039: [discriminator loss: 0.621362, acc: 0.640625] [adversarial loss: 0.896821, acc: 0.437500] 6040: [discriminator loss: 0.504910, acc: 0.742188] [adversarial loss: 1.224492, acc: 0.171875] 6041: [discriminator loss: 0.555708, acc: 0.734375] [adversarial loss: 0.949510, acc: 0.437500] 6042: [discriminator loss: 0.551601, acc: 0.742188] [adversarial loss: 1.576576, acc: 0.046875] 6043: [discriminator loss: 0.549330, acc: 0.703125] [adversarial loss: 1.198126, acc: 0.171875] 6044: [discriminator loss: 0.548744, acc: 0.695312] [adversarial loss: 1.307153, acc: 0.187500] 6045: [discriminator loss: 0.564781, acc: 0.703125] [adversarial loss: 1.062380, acc: 0.312500] 6046: [discriminator loss: 0.539177, acc: 0.765625] [adversarial loss: 1.430341, acc: 0.140625] 6047: [discriminator loss: 0.552058, acc: 0.757812] [adversarial loss: 0.880754, acc: 0.453125] 6048: [discriminator loss: 0.666486, acc: 0.625000] [adversarial loss: 1.474896, acc: 0.140625] 6049: [discriminator loss: 0.570727, acc: 0.671875] [adversarial loss: 1.083350, acc: 0.296875] 6050: [discriminator loss: 0.566238, acc: 0.718750] [adversarial loss: 1.275547, acc: 0.140625] 6051: [discriminator loss: 0.448404, acc: 0.796875] [adversarial loss: 1.103065, acc: 0.296875] 6052: [discriminator loss: 0.551216, acc: 0.718750] [adversarial loss: 1.470771, acc: 0.250000] 6053: [discriminator loss: 0.584553, acc: 0.664062] [adversarial loss: 0.860503, acc: 0.453125] 6054: [discriminator loss: 0.542800, acc: 0.726562] [adversarial loss: 1.244870, acc: 0.156250] 6055: [discriminator loss: 0.592318, acc: 0.632812] [adversarial loss: 1.087013, acc: 0.250000] 6056: [discriminator loss: 0.586717, acc: 0.726562] [adversarial loss: 1.405452, acc: 0.109375] 6057: [discriminator loss: 0.591186, acc: 0.687500] [adversarial loss: 0.810905, acc: 0.437500] 6058: [discriminator loss: 0.559194, acc: 0.742188] [adversarial loss: 1.532108, acc: 0.093750] 6059: [discriminator loss: 0.638733, acc: 0.625000] [adversarial loss: 0.729895, acc: 0.546875] 6060: [discriminator loss: 0.562464, acc: 0.757812] [adversarial loss: 1.394075, acc: 0.093750] 6061: [discriminator loss: 0.545207, acc: 0.726562] [adversarial loss: 1.026181, acc: 0.250000] 6062: [discriminator loss: 0.530714, acc: 0.734375] [adversarial loss: 1.087795, acc: 0.250000] 6063: [discriminator loss: 0.488957, acc: 0.765625] [adversarial loss: 1.059908, acc: 0.328125] 6064: [discriminator loss: 0.497927, acc: 0.781250] [adversarial loss: 1.270600, acc: 0.156250] 6065: [discriminator loss: 0.545144, acc: 0.726562] [adversarial loss: 0.979247, acc: 0.343750] 6066: [discriminator loss: 0.542789, acc: 0.695312] [adversarial loss: 1.023258, acc: 0.328125] 6067: [discriminator loss: 0.609888, acc: 0.656250] [adversarial loss: 1.099737, acc: 0.359375] 6068: [discriminator loss: 0.486267, acc: 0.781250] [adversarial loss: 0.991912, acc: 0.359375] 6069: [discriminator loss: 0.554930, acc: 0.703125] [adversarial loss: 1.170224, acc: 0.265625] 6070: [discriminator loss: 0.527692, acc: 0.703125] [adversarial loss: 1.287718, acc: 0.156250] 6071: [discriminator loss: 0.507486, acc: 0.742188] [adversarial loss: 1.159765, acc: 0.203125] 6072: [discriminator loss: 0.511454, acc: 0.750000] [adversarial loss: 1.414472, acc: 0.093750] 6073: [discriminator loss: 0.581294, acc: 0.656250] [adversarial loss: 0.906444, acc: 0.468750] 6074: [discriminator loss: 0.586979, acc: 0.687500] [adversarial loss: 1.564691, acc: 0.046875] 6075: [discriminator loss: 0.601193, acc: 0.664062] [adversarial loss: 0.879931, acc: 0.421875] 6076: [discriminator loss: 0.584854, acc: 0.671875] [adversarial loss: 1.348680, acc: 0.093750] 6077: [discriminator loss: 0.527781, acc: 0.726562] [adversarial loss: 0.883986, acc: 0.328125] 6078: [discriminator loss: 0.503771, acc: 0.781250] [adversarial loss: 1.215353, acc: 0.218750] 6079: [discriminator loss: 0.524685, acc: 0.742188] [adversarial loss: 1.128755, acc: 0.296875] 6080: [discriminator loss: 0.526558, acc: 0.703125] [adversarial loss: 1.314324, acc: 0.187500] 6081: [discriminator loss: 0.580953, acc: 0.671875] [adversarial loss: 0.874078, acc: 0.468750] 6082: [discriminator loss: 0.514484, acc: 0.742188] [adversarial loss: 1.560189, acc: 0.093750] 6083: [discriminator loss: 0.571782, acc: 0.648438] [adversarial loss: 0.940184, acc: 0.500000] 6084: [discriminator loss: 0.497102, acc: 0.750000] [adversarial loss: 1.453043, acc: 0.140625] 6085: [discriminator loss: 0.576134, acc: 0.718750] [adversarial loss: 1.014943, acc: 0.343750] 6086: [discriminator loss: 0.539983, acc: 0.703125] [adversarial loss: 1.489578, acc: 0.109375] 6087: [discriminator loss: 0.584095, acc: 0.703125] [adversarial loss: 1.140640, acc: 0.281250] 6088: [discriminator loss: 0.533660, acc: 0.718750] [adversarial loss: 1.215736, acc: 0.234375] 6089: [discriminator loss: 0.497544, acc: 0.765625] [adversarial loss: 1.121992, acc: 0.234375] 6090: [discriminator loss: 0.594426, acc: 0.687500] [adversarial loss: 1.117706, acc: 0.359375] 6091: [discriminator loss: 0.550277, acc: 0.726562] [adversarial loss: 0.805911, acc: 0.453125] 6092: [discriminator loss: 0.566173, acc: 0.710938] [adversarial loss: 1.403121, acc: 0.125000] 6093: [discriminator loss: 0.554658, acc: 0.703125] [adversarial loss: 0.956702, acc: 0.359375] 6094: [discriminator loss: 0.539526, acc: 0.703125] [adversarial loss: 1.464912, acc: 0.156250] 6095: [discriminator loss: 0.601750, acc: 0.687500] [adversarial loss: 0.847386, acc: 0.484375] 6096: [discriminator loss: 0.587826, acc: 0.671875] [adversarial loss: 1.416711, acc: 0.140625] 6097: [discriminator loss: 0.576625, acc: 0.656250] [adversarial loss: 0.913399, acc: 0.375000] 6098: [discriminator loss: 0.622397, acc: 0.664062] [adversarial loss: 1.312452, acc: 0.156250] 6099: [discriminator loss: 0.547178, acc: 0.687500] [adversarial loss: 0.995431, acc: 0.343750] 6100: [discriminator loss: 0.531045, acc: 0.742188] [adversarial loss: 1.206266, acc: 0.203125] 6101: [discriminator loss: 0.568454, acc: 0.664062] [adversarial loss: 0.969530, acc: 0.281250] 6102: [discriminator loss: 0.525394, acc: 0.757812] [adversarial loss: 1.421947, acc: 0.218750] 6103: [discriminator loss: 0.565637, acc: 0.710938] [adversarial loss: 0.875589, acc: 0.468750] 6104: [discriminator loss: 0.539353, acc: 0.734375] [adversarial loss: 1.372746, acc: 0.171875] 6105: [discriminator loss: 0.582952, acc: 0.726562] [adversarial loss: 1.176162, acc: 0.234375] 6106: [discriminator loss: 0.592582, acc: 0.632812] [adversarial loss: 1.212356, acc: 0.203125] 6107: [discriminator loss: 0.451906, acc: 0.781250] [adversarial loss: 1.019959, acc: 0.312500] 6108: [discriminator loss: 0.549393, acc: 0.710938] [adversarial loss: 1.099228, acc: 0.203125] 6109: [discriminator loss: 0.525906, acc: 0.765625] [adversarial loss: 1.149748, acc: 0.171875] 6110: [discriminator loss: 0.545427, acc: 0.695312] [adversarial loss: 1.236322, acc: 0.203125] 6111: [discriminator loss: 0.550526, acc: 0.710938] [adversarial loss: 1.175523, acc: 0.250000] 6112: [discriminator loss: 0.621081, acc: 0.679688] [adversarial loss: 1.201002, acc: 0.171875] 6113: [discriminator loss: 0.589286, acc: 0.695312] [adversarial loss: 0.934293, acc: 0.359375] 6114: [discriminator loss: 0.530171, acc: 0.695312] [adversarial loss: 1.348301, acc: 0.218750] 6115: [discriminator loss: 0.561816, acc: 0.687500] [adversarial loss: 0.983325, acc: 0.265625] 6116: [discriminator loss: 0.558312, acc: 0.679688] [adversarial loss: 1.144588, acc: 0.234375] 6117: [discriminator loss: 0.611912, acc: 0.671875] [adversarial loss: 1.464120, acc: 0.078125] 6118: [discriminator loss: 0.605299, acc: 0.664062] [adversarial loss: 0.688927, acc: 0.578125] 6119: [discriminator loss: 0.646171, acc: 0.609375] [adversarial loss: 1.388019, acc: 0.140625] 6120: [discriminator loss: 0.560009, acc: 0.726562] [adversarial loss: 1.002535, acc: 0.390625] 6121: [discriminator loss: 0.564469, acc: 0.718750] [adversarial loss: 1.215682, acc: 0.109375] 6122: [discriminator loss: 0.574182, acc: 0.687500] [adversarial loss: 1.111226, acc: 0.218750] 6123: [discriminator loss: 0.587343, acc: 0.664062] [adversarial loss: 1.115613, acc: 0.296875] 6124: [discriminator loss: 0.558690, acc: 0.734375] [adversarial loss: 1.106754, acc: 0.265625] 6125: [discriminator loss: 0.532393, acc: 0.718750] [adversarial loss: 1.161773, acc: 0.218750] 6126: [discriminator loss: 0.557431, acc: 0.671875] [adversarial loss: 1.239373, acc: 0.203125] 6127: [discriminator loss: 0.514365, acc: 0.734375] [adversarial loss: 1.014519, acc: 0.343750] 6128: [discriminator loss: 0.565170, acc: 0.679688] [adversarial loss: 1.183251, acc: 0.265625] 6129: [discriminator loss: 0.580218, acc: 0.679688] [adversarial loss: 0.869353, acc: 0.359375] 6130: [discriminator loss: 0.597720, acc: 0.671875] [adversarial loss: 1.304928, acc: 0.203125] 6131: [discriminator loss: 0.500410, acc: 0.773438] [adversarial loss: 1.225292, acc: 0.218750] 6132: [discriminator loss: 0.522550, acc: 0.750000] [adversarial loss: 1.097675, acc: 0.218750] 6133: [discriminator loss: 0.513253, acc: 0.742188] [adversarial loss: 1.033083, acc: 0.296875] 6134: [discriminator loss: 0.545429, acc: 0.742188] [adversarial loss: 1.343657, acc: 0.140625] 6135: [discriminator loss: 0.508578, acc: 0.703125] [adversarial loss: 0.842158, acc: 0.375000] 6136: [discriminator loss: 0.540351, acc: 0.765625] [adversarial loss: 1.439919, acc: 0.093750] 6137: [discriminator loss: 0.512315, acc: 0.718750] [adversarial loss: 0.958839, acc: 0.312500] 6138: [discriminator loss: 0.606474, acc: 0.640625] [adversarial loss: 1.194402, acc: 0.171875] 6139: [discriminator loss: 0.554247, acc: 0.734375] [adversarial loss: 1.136246, acc: 0.218750] 6140: [discriminator loss: 0.594610, acc: 0.656250] [adversarial loss: 0.931337, acc: 0.406250] 6141: [discriminator loss: 0.473057, acc: 0.765625] [adversarial loss: 1.699198, acc: 0.078125] 6142: [discriminator loss: 0.617574, acc: 0.656250] [adversarial loss: 0.880296, acc: 0.421875] 6143: [discriminator loss: 0.586241, acc: 0.687500] [adversarial loss: 1.265413, acc: 0.218750] 6144: [discriminator loss: 0.528239, acc: 0.726562] [adversarial loss: 0.993382, acc: 0.359375] 6145: [discriminator loss: 0.547771, acc: 0.710938] [adversarial loss: 1.345265, acc: 0.171875] 6146: [discriminator loss: 0.599159, acc: 0.671875] [adversarial loss: 0.991055, acc: 0.328125] 6147: [discriminator loss: 0.572816, acc: 0.664062] [adversarial loss: 1.256227, acc: 0.171875] 6148: [discriminator loss: 0.569106, acc: 0.664062] [adversarial loss: 1.081440, acc: 0.312500] 6149: [discriminator loss: 0.561524, acc: 0.742188] [adversarial loss: 1.091682, acc: 0.234375] 6150: [discriminator loss: 0.517884, acc: 0.757812] [adversarial loss: 1.054611, acc: 0.250000] 6151: [discriminator loss: 0.481311, acc: 0.742188] [adversarial loss: 1.398111, acc: 0.171875] 6152: [discriminator loss: 0.555555, acc: 0.671875] [adversarial loss: 0.988369, acc: 0.296875] 6153: [discriminator loss: 0.524991, acc: 0.750000] [adversarial loss: 1.294218, acc: 0.156250] 6154: [discriminator loss: 0.507726, acc: 0.718750] [adversarial loss: 1.087698, acc: 0.312500] 6155: [discriminator loss: 0.569428, acc: 0.648438] [adversarial loss: 1.262343, acc: 0.187500] 6156: [discriminator loss: 0.599083, acc: 0.664062] [adversarial loss: 1.081718, acc: 0.343750] 6157: [discriminator loss: 0.533777, acc: 0.742188] [adversarial loss: 1.088490, acc: 0.328125] 6158: [discriminator loss: 0.618168, acc: 0.703125] [adversarial loss: 1.432084, acc: 0.109375] 6159: [discriminator loss: 0.628326, acc: 0.617188] [adversarial loss: 0.933649, acc: 0.343750] 6160: [discriminator loss: 0.528388, acc: 0.726562] [adversarial loss: 1.436780, acc: 0.078125] 6161: [discriminator loss: 0.539944, acc: 0.718750] [adversarial loss: 0.910723, acc: 0.328125] 6162: [discriminator loss: 0.677288, acc: 0.648438] [adversarial loss: 1.349861, acc: 0.093750] 6163: [discriminator loss: 0.524557, acc: 0.718750] [adversarial loss: 0.937321, acc: 0.359375] 6164: [discriminator loss: 0.585040, acc: 0.664062] [adversarial loss: 1.194035, acc: 0.250000] 6165: [discriminator loss: 0.554397, acc: 0.679688] [adversarial loss: 1.220683, acc: 0.187500] 6166: [discriminator loss: 0.487122, acc: 0.726562] [adversarial loss: 1.328483, acc: 0.156250] 6167: [discriminator loss: 0.541239, acc: 0.742188] [adversarial loss: 1.187879, acc: 0.218750] 6168: [discriminator loss: 0.501366, acc: 0.750000] [adversarial loss: 1.176548, acc: 0.218750] 6169: [discriminator loss: 0.506120, acc: 0.765625] [adversarial loss: 1.209734, acc: 0.312500] 6170: [discriminator loss: 0.481422, acc: 0.773438] [adversarial loss: 1.146685, acc: 0.234375] 6171: [discriminator loss: 0.524278, acc: 0.742188] [adversarial loss: 0.951271, acc: 0.406250] 6172: [discriminator loss: 0.586091, acc: 0.718750] [adversarial loss: 1.661514, acc: 0.093750] 6173: [discriminator loss: 0.643153, acc: 0.640625] [adversarial loss: 0.758416, acc: 0.531250] 6174: [discriminator loss: 0.571904, acc: 0.734375] [adversarial loss: 1.419724, acc: 0.156250] 6175: [discriminator loss: 0.560485, acc: 0.734375] [adversarial loss: 0.981875, acc: 0.328125] 6176: [discriminator loss: 0.414386, acc: 0.812500] [adversarial loss: 1.451150, acc: 0.203125] 6177: [discriminator loss: 0.534847, acc: 0.710938] [adversarial loss: 1.140652, acc: 0.281250] 6178: [discriminator loss: 0.498718, acc: 0.773438] [adversarial loss: 1.056574, acc: 0.296875] 6179: [discriminator loss: 0.538661, acc: 0.750000] [adversarial loss: 1.330459, acc: 0.109375] 6180: [discriminator loss: 0.499395, acc: 0.757812] [adversarial loss: 1.022736, acc: 0.265625] 6181: [discriminator loss: 0.562300, acc: 0.687500] [adversarial loss: 1.231853, acc: 0.125000] 6182: [discriminator loss: 0.518364, acc: 0.695312] [adversarial loss: 0.974617, acc: 0.375000] 6183: [discriminator loss: 0.652218, acc: 0.625000] [adversarial loss: 1.314222, acc: 0.203125] 6184: [discriminator loss: 0.577779, acc: 0.695312] [adversarial loss: 1.265344, acc: 0.140625] 6185: [discriminator loss: 0.495836, acc: 0.750000] [adversarial loss: 1.057559, acc: 0.328125] 6186: [discriminator loss: 0.509356, acc: 0.773438] [adversarial loss: 1.672775, acc: 0.046875] 6187: [discriminator loss: 0.521976, acc: 0.726562] [adversarial loss: 0.957533, acc: 0.343750] 6188: [discriminator loss: 0.576369, acc: 0.687500] [adversarial loss: 1.452013, acc: 0.156250] 6189: [discriminator loss: 0.498518, acc: 0.726562] [adversarial loss: 1.414058, acc: 0.109375] 6190: [discriminator loss: 0.559001, acc: 0.726562] [adversarial loss: 1.085812, acc: 0.250000] 6191: [discriminator loss: 0.471194, acc: 0.804688] [adversarial loss: 1.139153, acc: 0.187500] 6192: [discriminator loss: 0.525576, acc: 0.710938] [adversarial loss: 1.142324, acc: 0.296875] 6193: [discriminator loss: 0.534154, acc: 0.718750] [adversarial loss: 1.387987, acc: 0.203125] 6194: [discriminator loss: 0.592342, acc: 0.632812] [adversarial loss: 1.227994, acc: 0.234375] 6195: [discriminator loss: 0.543798, acc: 0.742188] [adversarial loss: 0.943313, acc: 0.359375] 6196: [discriminator loss: 0.579562, acc: 0.671875] [adversarial loss: 1.281179, acc: 0.171875] 6197: [discriminator loss: 0.507039, acc: 0.734375] [adversarial loss: 1.038146, acc: 0.250000] 6198: [discriminator loss: 0.556831, acc: 0.734375] [adversarial loss: 1.138665, acc: 0.312500] 6199: [discriminator loss: 0.581357, acc: 0.734375] [adversarial loss: 1.025360, acc: 0.359375] 6200: [discriminator loss: 0.556087, acc: 0.757812] [adversarial loss: 1.306369, acc: 0.203125] 6201: [discriminator loss: 0.551644, acc: 0.750000] [adversarial loss: 0.987663, acc: 0.343750] 6202: [discriminator loss: 0.526299, acc: 0.742188] [adversarial loss: 1.408029, acc: 0.171875] 6203: [discriminator loss: 0.456959, acc: 0.781250] [adversarial loss: 1.360170, acc: 0.171875] 6204: [discriminator loss: 0.517117, acc: 0.734375] [adversarial loss: 0.896324, acc: 0.359375] 6205: [discriminator loss: 0.517165, acc: 0.710938] [adversarial loss: 1.419894, acc: 0.140625] 6206: [discriminator loss: 0.632276, acc: 0.656250] [adversarial loss: 0.876516, acc: 0.453125] 6207: [discriminator loss: 0.568550, acc: 0.710938] [adversarial loss: 1.308338, acc: 0.156250] 6208: [discriminator loss: 0.600497, acc: 0.648438] [adversarial loss: 1.086525, acc: 0.281250] 6209: [discriminator loss: 0.491665, acc: 0.742188] [adversarial loss: 1.177085, acc: 0.218750] 6210: [discriminator loss: 0.593308, acc: 0.671875] [adversarial loss: 1.412344, acc: 0.171875] 6211: [discriminator loss: 0.510363, acc: 0.757812] [adversarial loss: 0.948599, acc: 0.359375] 6212: [discriminator loss: 0.527540, acc: 0.750000] [adversarial loss: 1.443153, acc: 0.156250] 6213: [discriminator loss: 0.553295, acc: 0.679688] [adversarial loss: 1.108064, acc: 0.281250] 6214: [discriminator loss: 0.635700, acc: 0.648438] [adversarial loss: 1.074358, acc: 0.265625] 6215: [discriminator loss: 0.527387, acc: 0.718750] [adversarial loss: 1.530773, acc: 0.093750] 6216: [discriminator loss: 0.480293, acc: 0.742188] [adversarial loss: 0.828313, acc: 0.515625] 6217: [discriminator loss: 0.574873, acc: 0.679688] [adversarial loss: 1.393179, acc: 0.171875] 6218: [discriminator loss: 0.501030, acc: 0.773438] [adversarial loss: 1.041666, acc: 0.312500] 6219: [discriminator loss: 0.597901, acc: 0.671875] [adversarial loss: 1.092623, acc: 0.218750] 6220: [discriminator loss: 0.533205, acc: 0.734375] [adversarial loss: 0.936634, acc: 0.296875] 6221: [discriminator loss: 0.522465, acc: 0.742188] [adversarial loss: 1.243511, acc: 0.171875] 6222: [discriminator loss: 0.519925, acc: 0.742188] [adversarial loss: 1.071097, acc: 0.265625] 6223: [discriminator loss: 0.565259, acc: 0.710938] [adversarial loss: 1.305878, acc: 0.218750] 6224: [discriminator loss: 0.599490, acc: 0.687500] [adversarial loss: 0.967875, acc: 0.328125] 6225: [discriminator loss: 0.525197, acc: 0.718750] [adversarial loss: 1.231399, acc: 0.171875] 6226: [discriminator loss: 0.592687, acc: 0.656250] [adversarial loss: 1.122912, acc: 0.234375] 6227: [discriminator loss: 0.593451, acc: 0.734375] [adversarial loss: 1.231299, acc: 0.203125] 6228: [discriminator loss: 0.553414, acc: 0.726562] [adversarial loss: 1.153850, acc: 0.250000] 6229: [discriminator loss: 0.504866, acc: 0.718750] [adversarial loss: 1.107665, acc: 0.265625] 6230: [discriminator loss: 0.547586, acc: 0.671875] [adversarial loss: 1.168335, acc: 0.343750] 6231: [discriminator loss: 0.625195, acc: 0.679688] [adversarial loss: 1.087157, acc: 0.234375] 6232: [discriminator loss: 0.554025, acc: 0.726562] [adversarial loss: 1.141751, acc: 0.218750] 6233: [discriminator loss: 0.484764, acc: 0.718750] [adversarial loss: 1.235148, acc: 0.234375] 6234: [discriminator loss: 0.572315, acc: 0.679688] [adversarial loss: 1.257925, acc: 0.203125] 6235: [discriminator loss: 0.548176, acc: 0.750000] [adversarial loss: 1.152423, acc: 0.234375] 6236: [discriminator loss: 0.534529, acc: 0.757812] [adversarial loss: 1.193809, acc: 0.281250] 6237: [discriminator loss: 0.562862, acc: 0.671875] [adversarial loss: 1.146039, acc: 0.218750] 6238: [discriminator loss: 0.526453, acc: 0.718750] [adversarial loss: 1.000803, acc: 0.265625] 6239: [discriminator loss: 0.499451, acc: 0.781250] [adversarial loss: 1.366207, acc: 0.156250] 6240: [discriminator loss: 0.566186, acc: 0.718750] [adversarial loss: 1.153904, acc: 0.265625] 6241: [discriminator loss: 0.590179, acc: 0.664062] [adversarial loss: 1.262704, acc: 0.250000] 6242: [discriminator loss: 0.561299, acc: 0.695312] [adversarial loss: 1.001649, acc: 0.312500] 6243: [discriminator loss: 0.617628, acc: 0.640625] [adversarial loss: 1.306081, acc: 0.171875] 6244: [discriminator loss: 0.583016, acc: 0.664062] [adversarial loss: 0.794767, acc: 0.437500] 6245: [discriminator loss: 0.578798, acc: 0.718750] [adversarial loss: 1.675761, acc: 0.125000] 6246: [discriminator loss: 0.602244, acc: 0.679688] [adversarial loss: 0.796455, acc: 0.500000] 6247: [discriminator loss: 0.607319, acc: 0.687500] [adversarial loss: 1.577829, acc: 0.046875] 6248: [discriminator loss: 0.550409, acc: 0.687500] [adversarial loss: 0.988450, acc: 0.250000] 6249: [discriminator loss: 0.518282, acc: 0.765625] [adversarial loss: 1.302057, acc: 0.140625] 6250: [discriminator loss: 0.576831, acc: 0.695312] [adversarial loss: 1.061176, acc: 0.328125] 6251: [discriminator loss: 0.520218, acc: 0.726562] [adversarial loss: 1.625220, acc: 0.031250] 6252: [discriminator loss: 0.622494, acc: 0.664062] [adversarial loss: 0.869691, acc: 0.421875] 6253: [discriminator loss: 0.623727, acc: 0.609375] [adversarial loss: 1.378153, acc: 0.125000] 6254: [discriminator loss: 0.537455, acc: 0.726562] [adversarial loss: 0.916723, acc: 0.328125] 6255: [discriminator loss: 0.562787, acc: 0.734375] [adversarial loss: 1.178922, acc: 0.171875] 6256: [discriminator loss: 0.603363, acc: 0.710938] [adversarial loss: 1.154801, acc: 0.203125] 6257: [discriminator loss: 0.575554, acc: 0.664062] [adversarial loss: 1.149308, acc: 0.203125] 6258: [discriminator loss: 0.514544, acc: 0.781250] [adversarial loss: 1.091167, acc: 0.265625] 6259: [discriminator loss: 0.575469, acc: 0.671875] [adversarial loss: 1.053759, acc: 0.218750] 6260: [discriminator loss: 0.532693, acc: 0.742188] [adversarial loss: 0.996746, acc: 0.375000] 6261: [discriminator loss: 0.540025, acc: 0.703125] [adversarial loss: 1.374155, acc: 0.171875] 6262: [discriminator loss: 0.582394, acc: 0.710938] [adversarial loss: 1.018425, acc: 0.312500] 6263: [discriminator loss: 0.592262, acc: 0.679688] [adversarial loss: 1.332207, acc: 0.218750] 6264: [discriminator loss: 0.556102, acc: 0.695312] [adversarial loss: 1.165445, acc: 0.218750] 6265: [discriminator loss: 0.535443, acc: 0.695312] [adversarial loss: 1.176599, acc: 0.203125] 6266: [discriminator loss: 0.514645, acc: 0.742188] [adversarial loss: 0.945420, acc: 0.421875] 6267: [discriminator loss: 0.555949, acc: 0.703125] [adversarial loss: 1.536833, acc: 0.109375] 6268: [discriminator loss: 0.596094, acc: 0.656250] [adversarial loss: 0.899958, acc: 0.328125] 6269: [discriminator loss: 0.496159, acc: 0.765625] [adversarial loss: 1.345375, acc: 0.156250] 6270: [discriminator loss: 0.574746, acc: 0.695312] [adversarial loss: 0.819011, acc: 0.375000] 6271: [discriminator loss: 0.607927, acc: 0.679688] [adversarial loss: 1.448583, acc: 0.093750] 6272: [discriminator loss: 0.530868, acc: 0.734375] [adversarial loss: 0.917151, acc: 0.375000] 6273: [discriminator loss: 0.622195, acc: 0.656250] [adversarial loss: 1.511279, acc: 0.093750] 6274: [discriminator loss: 0.578221, acc: 0.718750] [adversarial loss: 1.062166, acc: 0.218750] 6275: [discriminator loss: 0.575712, acc: 0.703125] [adversarial loss: 1.414671, acc: 0.187500] 6276: [discriminator loss: 0.495109, acc: 0.789062] [adversarial loss: 1.002170, acc: 0.375000] 6277: [discriminator loss: 0.573579, acc: 0.648438] [adversarial loss: 1.578608, acc: 0.078125] 6278: [discriminator loss: 0.531811, acc: 0.710938] [adversarial loss: 0.972517, acc: 0.281250] 6279: [discriminator loss: 0.580326, acc: 0.726562] [adversarial loss: 1.431041, acc: 0.140625] 6280: [discriminator loss: 0.537172, acc: 0.695312] [adversarial loss: 0.857020, acc: 0.453125] 6281: [discriminator loss: 0.519400, acc: 0.781250] [adversarial loss: 1.465037, acc: 0.125000] 6282: [discriminator loss: 0.606146, acc: 0.625000] [adversarial loss: 1.009281, acc: 0.312500] 6283: [discriminator loss: 0.533973, acc: 0.742188] [adversarial loss: 1.163288, acc: 0.265625] 6284: [discriminator loss: 0.545997, acc: 0.757812] [adversarial loss: 1.111076, acc: 0.218750] 6285: [discriminator loss: 0.634728, acc: 0.687500] [adversarial loss: 1.182434, acc: 0.203125] 6286: [discriminator loss: 0.511208, acc: 0.757812] [adversarial loss: 1.060999, acc: 0.265625] 6287: [discriminator loss: 0.534265, acc: 0.750000] [adversarial loss: 1.004896, acc: 0.281250] 6288: [discriminator loss: 0.575603, acc: 0.710938] [adversarial loss: 1.350272, acc: 0.093750] 6289: [discriminator loss: 0.500406, acc: 0.757812] [adversarial loss: 1.086513, acc: 0.234375] 6290: [discriminator loss: 0.497594, acc: 0.773438] [adversarial loss: 1.348036, acc: 0.156250] 6291: [discriminator loss: 0.508734, acc: 0.726562] [adversarial loss: 1.131552, acc: 0.312500] 6292: [discriminator loss: 0.602492, acc: 0.656250] [adversarial loss: 1.074183, acc: 0.296875] 6293: [discriminator loss: 0.566690, acc: 0.679688] [adversarial loss: 1.316455, acc: 0.203125] 6294: [discriminator loss: 0.616946, acc: 0.632812] [adversarial loss: 0.974142, acc: 0.328125] 6295: [discriminator loss: 0.581249, acc: 0.671875] [adversarial loss: 1.475945, acc: 0.140625] 6296: [discriminator loss: 0.552633, acc: 0.718750] [adversarial loss: 0.980625, acc: 0.375000] 6297: [discriminator loss: 0.566475, acc: 0.703125] [adversarial loss: 1.488301, acc: 0.109375] 6298: [discriminator loss: 0.582942, acc: 0.671875] [adversarial loss: 0.863766, acc: 0.468750] 6299: [discriminator loss: 0.561551, acc: 0.742188] [adversarial loss: 1.271679, acc: 0.125000] 6300: [discriminator loss: 0.545296, acc: 0.726562] [adversarial loss: 0.867969, acc: 0.390625] 6301: [discriminator loss: 0.624306, acc: 0.648438] [adversarial loss: 1.078080, acc: 0.250000] 6302: [discriminator loss: 0.583003, acc: 0.703125] [adversarial loss: 1.455210, acc: 0.140625] 6303: [discriminator loss: 0.554780, acc: 0.687500] [adversarial loss: 0.873235, acc: 0.390625] 6304: [discriminator loss: 0.551416, acc: 0.750000] [adversarial loss: 1.166744, acc: 0.203125] 6305: [discriminator loss: 0.454467, acc: 0.804688] [adversarial loss: 1.239228, acc: 0.234375] 6306: [discriminator loss: 0.669119, acc: 0.625000] [adversarial loss: 1.104687, acc: 0.234375] 6307: [discriminator loss: 0.569066, acc: 0.687500] [adversarial loss: 1.190318, acc: 0.296875] 6308: [discriminator loss: 0.631783, acc: 0.664062] [adversarial loss: 1.087743, acc: 0.265625] 6309: [discriminator loss: 0.544181, acc: 0.710938] [adversarial loss: 1.006112, acc: 0.328125] 6310: [discriminator loss: 0.584778, acc: 0.734375] [adversarial loss: 1.519164, acc: 0.062500] 6311: [discriminator loss: 0.587779, acc: 0.625000] [adversarial loss: 0.894826, acc: 0.453125] 6312: [discriminator loss: 0.583079, acc: 0.718750] [adversarial loss: 1.575198, acc: 0.046875] 6313: [discriminator loss: 0.589761, acc: 0.671875] [adversarial loss: 0.917043, acc: 0.312500] 6314: [discriminator loss: 0.552697, acc: 0.695312] [adversarial loss: 1.135906, acc: 0.250000] 6315: [discriminator loss: 0.550198, acc: 0.734375] [adversarial loss: 1.367058, acc: 0.156250] 6316: [discriminator loss: 0.564012, acc: 0.718750] [adversarial loss: 1.147271, acc: 0.234375] 6317: [discriminator loss: 0.518383, acc: 0.765625] [adversarial loss: 1.238573, acc: 0.156250] 6318: [discriminator loss: 0.569299, acc: 0.687500] [adversarial loss: 1.428967, acc: 0.062500] 6319: [discriminator loss: 0.575793, acc: 0.671875] [adversarial loss: 0.990812, acc: 0.296875] 6320: [discriminator loss: 0.539437, acc: 0.789062] [adversarial loss: 1.186484, acc: 0.156250] 6321: [discriminator loss: 0.530466, acc: 0.750000] [adversarial loss: 0.960697, acc: 0.312500] 6322: [discriminator loss: 0.440889, acc: 0.796875] [adversarial loss: 1.356587, acc: 0.203125] 6323: [discriminator loss: 0.618674, acc: 0.679688] [adversarial loss: 0.730509, acc: 0.515625] 6324: [discriminator loss: 0.607394, acc: 0.679688] [adversarial loss: 1.501873, acc: 0.125000] 6325: [discriminator loss: 0.541767, acc: 0.710938] [adversarial loss: 0.997396, acc: 0.359375] 6326: [discriminator loss: 0.548568, acc: 0.695312] [adversarial loss: 1.227015, acc: 0.187500] 6327: [discriminator loss: 0.529498, acc: 0.726562] [adversarial loss: 1.083293, acc: 0.234375] 6328: [discriminator loss: 0.570579, acc: 0.695312] [adversarial loss: 0.971593, acc: 0.281250] 6329: [discriminator loss: 0.506112, acc: 0.742188] [adversarial loss: 1.190641, acc: 0.203125] 6330: [discriminator loss: 0.499454, acc: 0.726562] [adversarial loss: 0.989000, acc: 0.296875] 6331: [discriminator loss: 0.532715, acc: 0.710938] [adversarial loss: 1.336641, acc: 0.156250] 6332: [discriminator loss: 0.509622, acc: 0.765625] [adversarial loss: 1.124081, acc: 0.328125] 6333: [discriminator loss: 0.461269, acc: 0.773438] [adversarial loss: 1.377079, acc: 0.187500] 6334: [discriminator loss: 0.575161, acc: 0.664062] [adversarial loss: 0.845469, acc: 0.484375] 6335: [discriminator loss: 0.571502, acc: 0.687500] [adversarial loss: 1.421459, acc: 0.171875] 6336: [discriminator loss: 0.540651, acc: 0.679688] [adversarial loss: 0.925145, acc: 0.421875] 6337: [discriminator loss: 0.574089, acc: 0.671875] [adversarial loss: 1.065460, acc: 0.281250] 6338: [discriminator loss: 0.529119, acc: 0.750000] [adversarial loss: 1.204471, acc: 0.140625] 6339: [discriminator loss: 0.563062, acc: 0.656250] [adversarial loss: 1.008929, acc: 0.406250] 6340: [discriminator loss: 0.593202, acc: 0.671875] [adversarial loss: 1.410028, acc: 0.156250] 6341: [discriminator loss: 0.499152, acc: 0.726562] [adversarial loss: 0.887295, acc: 0.375000] 6342: [discriminator loss: 0.591956, acc: 0.687500] [adversarial loss: 1.529005, acc: 0.125000] 6343: [discriminator loss: 0.519690, acc: 0.710938] [adversarial loss: 0.894105, acc: 0.421875] 6344: [discriminator loss: 0.572579, acc: 0.687500] [adversarial loss: 1.799597, acc: 0.062500] 6345: [discriminator loss: 0.573573, acc: 0.687500] [adversarial loss: 1.049304, acc: 0.265625] 6346: [discriminator loss: 0.589755, acc: 0.671875] [adversarial loss: 1.217949, acc: 0.156250] 6347: [discriminator loss: 0.608949, acc: 0.632812] [adversarial loss: 0.992437, acc: 0.359375] 6348: [discriminator loss: 0.581534, acc: 0.679688] [adversarial loss: 1.016014, acc: 0.234375] 6349: [discriminator loss: 0.529920, acc: 0.734375] [adversarial loss: 1.108817, acc: 0.250000] 6350: [discriminator loss: 0.527733, acc: 0.734375] [adversarial loss: 1.092487, acc: 0.250000] 6351: [discriminator loss: 0.606349, acc: 0.687500] [adversarial loss: 1.176184, acc: 0.265625] 6352: [discriminator loss: 0.509875, acc: 0.734375] [adversarial loss: 1.144758, acc: 0.203125] 6353: [discriminator loss: 0.584299, acc: 0.679688] [adversarial loss: 1.252184, acc: 0.140625] 6354: [discriminator loss: 0.541706, acc: 0.710938] [adversarial loss: 1.057620, acc: 0.359375] 6355: [discriminator loss: 0.540632, acc: 0.750000] [adversarial loss: 1.161840, acc: 0.296875] 6356: [discriminator loss: 0.552738, acc: 0.703125] [adversarial loss: 1.293891, acc: 0.203125] 6357: [discriminator loss: 0.538979, acc: 0.757812] [adversarial loss: 1.039400, acc: 0.343750] 6358: [discriminator loss: 0.506605, acc: 0.750000] [adversarial loss: 1.373052, acc: 0.109375] 6359: [discriminator loss: 0.565564, acc: 0.742188] [adversarial loss: 1.099151, acc: 0.375000] 6360: [discriminator loss: 0.535213, acc: 0.734375] [adversarial loss: 1.196080, acc: 0.296875] 6361: [discriminator loss: 0.535889, acc: 0.726562] [adversarial loss: 1.058830, acc: 0.296875] 6362: [discriminator loss: 0.682639, acc: 0.656250] [adversarial loss: 1.166800, acc: 0.265625] 6363: [discriminator loss: 0.521978, acc: 0.710938] [adversarial loss: 1.216118, acc: 0.265625] 6364: [discriminator loss: 0.538267, acc: 0.703125] [adversarial loss: 1.255744, acc: 0.125000] 6365: [discriminator loss: 0.527688, acc: 0.726562] [adversarial loss: 0.905507, acc: 0.390625] 6366: [discriminator loss: 0.539252, acc: 0.703125] [adversarial loss: 1.533938, acc: 0.109375] 6367: [discriminator loss: 0.546448, acc: 0.718750] [adversarial loss: 0.926565, acc: 0.359375] 6368: [discriminator loss: 0.530566, acc: 0.703125] [adversarial loss: 1.749303, acc: 0.046875] 6369: [discriminator loss: 0.585051, acc: 0.695312] [adversarial loss: 1.009043, acc: 0.390625] 6370: [discriminator loss: 0.585504, acc: 0.679688] [adversarial loss: 1.435293, acc: 0.078125] 6371: [discriminator loss: 0.579630, acc: 0.664062] [adversarial loss: 1.067333, acc: 0.343750] 6372: [discriminator loss: 0.571722, acc: 0.671875] [adversarial loss: 1.471635, acc: 0.156250] 6373: [discriminator loss: 0.571023, acc: 0.687500] [adversarial loss: 0.940938, acc: 0.375000] 6374: [discriminator loss: 0.665427, acc: 0.601562] [adversarial loss: 1.137567, acc: 0.234375] 6375: [discriminator loss: 0.562300, acc: 0.710938] [adversarial loss: 1.154499, acc: 0.156250] 6376: [discriminator loss: 0.558822, acc: 0.734375] [adversarial loss: 1.830366, acc: 0.046875] 6377: [discriminator loss: 0.625685, acc: 0.632812] [adversarial loss: 0.839547, acc: 0.421875] 6378: [discriminator loss: 0.631724, acc: 0.656250] [adversarial loss: 1.390103, acc: 0.062500] 6379: [discriminator loss: 0.526859, acc: 0.718750] [adversarial loss: 1.101381, acc: 0.234375] 6380: [discriminator loss: 0.582335, acc: 0.671875] [adversarial loss: 0.971668, acc: 0.343750] 6381: [discriminator loss: 0.507138, acc: 0.765625] [adversarial loss: 1.172891, acc: 0.218750] 6382: [discriminator loss: 0.584483, acc: 0.726562] [adversarial loss: 1.158368, acc: 0.234375] 6383: [discriminator loss: 0.480578, acc: 0.765625] [adversarial loss: 0.887777, acc: 0.359375] 6384: [discriminator loss: 0.546886, acc: 0.726562] [adversarial loss: 1.333793, acc: 0.140625] 6385: [discriminator loss: 0.518301, acc: 0.742188] [adversarial loss: 1.215968, acc: 0.250000] 6386: [discriminator loss: 0.532718, acc: 0.710938] [adversarial loss: 1.032650, acc: 0.312500] 6387: [discriminator loss: 0.566870, acc: 0.687500] [adversarial loss: 1.322735, acc: 0.125000] 6388: [discriminator loss: 0.537905, acc: 0.718750] [adversarial loss: 1.137096, acc: 0.250000] 6389: [discriminator loss: 0.592459, acc: 0.656250] [adversarial loss: 0.997350, acc: 0.296875] 6390: [discriminator loss: 0.599414, acc: 0.687500] [adversarial loss: 1.289828, acc: 0.187500] 6391: [discriminator loss: 0.573037, acc: 0.664062] [adversarial loss: 1.054671, acc: 0.250000] 6392: [discriminator loss: 0.559706, acc: 0.679688] [adversarial loss: 1.305930, acc: 0.203125] 6393: [discriminator loss: 0.520181, acc: 0.726562] [adversarial loss: 0.895979, acc: 0.375000] 6394: [discriminator loss: 0.556899, acc: 0.710938] [adversarial loss: 1.291254, acc: 0.125000] 6395: [discriminator loss: 0.594456, acc: 0.671875] [adversarial loss: 1.034887, acc: 0.250000] 6396: [discriminator loss: 0.562080, acc: 0.703125] [adversarial loss: 1.132568, acc: 0.281250] 6397: [discriminator loss: 0.566300, acc: 0.742188] [adversarial loss: 1.168330, acc: 0.187500] 6398: [discriminator loss: 0.485298, acc: 0.796875] [adversarial loss: 1.158735, acc: 0.250000] 6399: [discriminator loss: 0.531628, acc: 0.734375] [adversarial loss: 1.066329, acc: 0.218750] 6400: [discriminator loss: 0.607232, acc: 0.640625] [adversarial loss: 1.084822, acc: 0.250000] 6401: [discriminator loss: 0.540133, acc: 0.734375] [adversarial loss: 0.789100, acc: 0.421875] 6402: [discriminator loss: 0.598987, acc: 0.695312] [adversarial loss: 1.625245, acc: 0.062500] 6403: [discriminator loss: 0.549496, acc: 0.671875] [adversarial loss: 0.698508, acc: 0.578125] 6404: [discriminator loss: 0.594312, acc: 0.671875] [adversarial loss: 1.401186, acc: 0.187500] 6405: [discriminator loss: 0.606890, acc: 0.664062] [adversarial loss: 0.835939, acc: 0.421875] 6406: [discriminator loss: 0.573822, acc: 0.718750] [adversarial loss: 1.363161, acc: 0.187500] 6407: [discriminator loss: 0.610565, acc: 0.656250] [adversarial loss: 0.962010, acc: 0.375000] 6408: [discriminator loss: 0.499677, acc: 0.765625] [adversarial loss: 1.328284, acc: 0.109375] 6409: [discriminator loss: 0.557365, acc: 0.687500] [adversarial loss: 0.905727, acc: 0.437500] 6410: [discriminator loss: 0.557181, acc: 0.671875] [adversarial loss: 1.001166, acc: 0.281250] 6411: [discriminator loss: 0.547244, acc: 0.718750] [adversarial loss: 1.377942, acc: 0.093750] 6412: [discriminator loss: 0.571713, acc: 0.703125] [adversarial loss: 1.202204, acc: 0.234375] 6413: [discriminator loss: 0.517939, acc: 0.773438] [adversarial loss: 1.093116, acc: 0.265625] 6414: [discriminator loss: 0.509118, acc: 0.757812] [adversarial loss: 1.141940, acc: 0.203125] 6415: [discriminator loss: 0.568690, acc: 0.679688] [adversarial loss: 1.105064, acc: 0.203125] 6416: [discriminator loss: 0.548838, acc: 0.703125] [adversarial loss: 1.218863, acc: 0.203125] 6417: [discriminator loss: 0.475552, acc: 0.750000] [adversarial loss: 1.090837, acc: 0.265625] 6418: [discriminator loss: 0.528876, acc: 0.750000] [adversarial loss: 1.061607, acc: 0.281250] 6419: [discriminator loss: 0.544159, acc: 0.726562] [adversarial loss: 1.123954, acc: 0.203125] 6420: [discriminator loss: 0.615102, acc: 0.687500] [adversarial loss: 1.311828, acc: 0.218750] 6421: [discriminator loss: 0.610813, acc: 0.664062] [adversarial loss: 0.772557, acc: 0.531250] 6422: [discriminator loss: 0.562514, acc: 0.679688] [adversarial loss: 1.552373, acc: 0.109375] 6423: [discriminator loss: 0.588612, acc: 0.695312] [adversarial loss: 0.820181, acc: 0.453125] 6424: [discriminator loss: 0.558004, acc: 0.679688] [adversarial loss: 1.369885, acc: 0.203125] 6425: [discriminator loss: 0.549360, acc: 0.695312] [adversarial loss: 0.777150, acc: 0.515625] 6426: [discriminator loss: 0.614451, acc: 0.664062] [adversarial loss: 1.352576, acc: 0.156250] 6427: [discriminator loss: 0.560124, acc: 0.703125] [adversarial loss: 0.923284, acc: 0.359375] 6428: [discriminator loss: 0.507908, acc: 0.742188] [adversarial loss: 1.277785, acc: 0.281250] 6429: [discriminator loss: 0.511707, acc: 0.765625] [adversarial loss: 1.018172, acc: 0.312500] 6430: [discriminator loss: 0.496813, acc: 0.757812] [adversarial loss: 1.326430, acc: 0.125000] 6431: [discriminator loss: 0.515314, acc: 0.773438] [adversarial loss: 1.152105, acc: 0.250000] 6432: [discriminator loss: 0.584412, acc: 0.695312] [adversarial loss: 1.286609, acc: 0.250000] 6433: [discriminator loss: 0.575961, acc: 0.695312] [adversarial loss: 1.049916, acc: 0.296875] 6434: [discriminator loss: 0.560229, acc: 0.726562] [adversarial loss: 1.408722, acc: 0.093750] 6435: [discriminator loss: 0.553964, acc: 0.750000] [adversarial loss: 1.200824, acc: 0.218750] 6436: [discriminator loss: 0.555855, acc: 0.703125] [adversarial loss: 1.138719, acc: 0.203125] 6437: [discriminator loss: 0.529334, acc: 0.765625] [adversarial loss: 0.937866, acc: 0.312500] 6438: [discriminator loss: 0.612500, acc: 0.664062] [adversarial loss: 1.248911, acc: 0.203125] 6439: [discriminator loss: 0.623429, acc: 0.671875] [adversarial loss: 0.834309, acc: 0.406250] 6440: [discriminator loss: 0.581081, acc: 0.679688] [adversarial loss: 1.339323, acc: 0.156250] 6441: [discriminator loss: 0.566069, acc: 0.718750] [adversarial loss: 0.845105, acc: 0.453125] 6442: [discriminator loss: 0.567856, acc: 0.710938] [adversarial loss: 1.561876, acc: 0.140625] 6443: [discriminator loss: 0.594040, acc: 0.703125] [adversarial loss: 0.838927, acc: 0.468750] 6444: [discriminator loss: 0.567536, acc: 0.742188] [adversarial loss: 1.161445, acc: 0.265625] 6445: [discriminator loss: 0.509651, acc: 0.742188] [adversarial loss: 0.930204, acc: 0.328125] 6446: [discriminator loss: 0.568068, acc: 0.710938] [adversarial loss: 1.290824, acc: 0.140625] 6447: [discriminator loss: 0.494049, acc: 0.757812] [adversarial loss: 1.082521, acc: 0.328125] 6448: [discriminator loss: 0.543447, acc: 0.726562] [adversarial loss: 1.389161, acc: 0.125000] 6449: [discriminator loss: 0.595181, acc: 0.664062] [adversarial loss: 0.943119, acc: 0.406250] 6450: [discriminator loss: 0.580566, acc: 0.671875] [adversarial loss: 1.267749, acc: 0.187500] 6451: [discriminator loss: 0.477165, acc: 0.804688] [adversarial loss: 1.111564, acc: 0.296875] 6452: [discriminator loss: 0.470669, acc: 0.812500] [adversarial loss: 1.212992, acc: 0.171875] 6453: [discriminator loss: 0.587537, acc: 0.710938] [adversarial loss: 1.116118, acc: 0.250000] 6454: [discriminator loss: 0.537194, acc: 0.703125] [adversarial loss: 0.986146, acc: 0.343750] 6455: [discriminator loss: 0.520986, acc: 0.718750] [adversarial loss: 1.167482, acc: 0.171875] 6456: [discriminator loss: 0.531248, acc: 0.757812] [adversarial loss: 1.365688, acc: 0.218750] 6457: [discriminator loss: 0.551584, acc: 0.695312] [adversarial loss: 1.138191, acc: 0.203125] 6458: [discriminator loss: 0.523885, acc: 0.726562] [adversarial loss: 1.140659, acc: 0.281250] 6459: [discriminator loss: 0.571836, acc: 0.687500] [adversarial loss: 1.170811, acc: 0.187500] 6460: [discriminator loss: 0.547439, acc: 0.742188] [adversarial loss: 1.256882, acc: 0.187500] 6461: [discriminator loss: 0.558574, acc: 0.687500] [adversarial loss: 0.844682, acc: 0.421875] 6462: [discriminator loss: 0.548072, acc: 0.718750] [adversarial loss: 1.394640, acc: 0.203125] 6463: [discriminator loss: 0.538964, acc: 0.742188] [adversarial loss: 0.916073, acc: 0.437500] 6464: [discriminator loss: 0.575608, acc: 0.679688] [adversarial loss: 1.450303, acc: 0.125000] 6465: [discriminator loss: 0.650282, acc: 0.640625] [adversarial loss: 0.936524, acc: 0.406250] 6466: [discriminator loss: 0.563414, acc: 0.710938] [adversarial loss: 1.129257, acc: 0.203125] 6467: [discriminator loss: 0.571923, acc: 0.703125] [adversarial loss: 0.914375, acc: 0.265625] 6468: [discriminator loss: 0.564756, acc: 0.695312] [adversarial loss: 1.245833, acc: 0.187500] 6469: [discriminator loss: 0.500405, acc: 0.726562] [adversarial loss: 1.160924, acc: 0.328125] 6470: [discriminator loss: 0.587284, acc: 0.695312] [adversarial loss: 0.904122, acc: 0.484375] 6471: [discriminator loss: 0.552481, acc: 0.679688] [adversarial loss: 1.411771, acc: 0.109375] 6472: [discriminator loss: 0.615801, acc: 0.687500] [adversarial loss: 0.864380, acc: 0.406250] 6473: [discriminator loss: 0.566006, acc: 0.710938] [adversarial loss: 1.467109, acc: 0.093750] 6474: [discriminator loss: 0.497293, acc: 0.750000] [adversarial loss: 0.990615, acc: 0.375000] 6475: [discriminator loss: 0.580618, acc: 0.640625] [adversarial loss: 1.167181, acc: 0.250000] 6476: [discriminator loss: 0.522976, acc: 0.726562] [adversarial loss: 1.319457, acc: 0.171875] 6477: [discriminator loss: 0.495149, acc: 0.757812] [adversarial loss: 1.307595, acc: 0.203125] 6478: [discriminator loss: 0.582648, acc: 0.671875] [adversarial loss: 0.875072, acc: 0.359375] 6479: [discriminator loss: 0.562329, acc: 0.703125] [adversarial loss: 1.534475, acc: 0.125000] 6480: [discriminator loss: 0.527330, acc: 0.718750] [adversarial loss: 0.857888, acc: 0.437500] 6481: [discriminator loss: 0.580655, acc: 0.710938] [adversarial loss: 1.069212, acc: 0.328125] 6482: [discriminator loss: 0.526318, acc: 0.734375] [adversarial loss: 1.064657, acc: 0.312500] 6483: [discriminator loss: 0.621982, acc: 0.703125] [adversarial loss: 1.431115, acc: 0.125000] 6484: [discriminator loss: 0.525974, acc: 0.718750] [adversarial loss: 0.889740, acc: 0.437500] 6485: [discriminator loss: 0.507446, acc: 0.765625] [adversarial loss: 1.207939, acc: 0.218750] 6486: [discriminator loss: 0.591428, acc: 0.695312] [adversarial loss: 1.037754, acc: 0.343750] 6487: [discriminator loss: 0.488049, acc: 0.796875] [adversarial loss: 1.045938, acc: 0.296875] 6488: [discriminator loss: 0.512478, acc: 0.757812] [adversarial loss: 1.029682, acc: 0.281250] 6489: [discriminator loss: 0.530835, acc: 0.734375] [adversarial loss: 1.088233, acc: 0.250000] 6490: [discriminator loss: 0.589032, acc: 0.679688] [adversarial loss: 1.035228, acc: 0.359375] 6491: [discriminator loss: 0.574226, acc: 0.671875] [adversarial loss: 1.325846, acc: 0.187500] 6492: [discriminator loss: 0.507480, acc: 0.757812] [adversarial loss: 0.930025, acc: 0.390625] 6493: [discriminator loss: 0.586445, acc: 0.703125] [adversarial loss: 1.420420, acc: 0.109375] 6494: [discriminator loss: 0.658843, acc: 0.632812] [adversarial loss: 0.976025, acc: 0.312500] 6495: [discriminator loss: 0.542475, acc: 0.710938] [adversarial loss: 1.478319, acc: 0.109375] 6496: [discriminator loss: 0.543101, acc: 0.734375] [adversarial loss: 1.084118, acc: 0.328125] 6497: [discriminator loss: 0.546267, acc: 0.718750] [adversarial loss: 1.460597, acc: 0.093750] 6498: [discriminator loss: 0.632438, acc: 0.625000] [adversarial loss: 1.013231, acc: 0.406250] 6499: [discriminator loss: 0.618472, acc: 0.632812] [adversarial loss: 1.480469, acc: 0.062500] 6500: [discriminator loss: 0.637133, acc: 0.687500] [adversarial loss: 0.682693, acc: 0.515625] 6501: [discriminator loss: 0.579336, acc: 0.710938] [adversarial loss: 1.385850, acc: 0.125000] 6502: [discriminator loss: 0.539966, acc: 0.679688] [adversarial loss: 1.052227, acc: 0.203125] 6503: [discriminator loss: 0.485656, acc: 0.757812] [adversarial loss: 1.248749, acc: 0.156250] 6504: [discriminator loss: 0.527275, acc: 0.789062] [adversarial loss: 1.399102, acc: 0.140625] 6505: [discriminator loss: 0.568554, acc: 0.695312] [adversarial loss: 0.956802, acc: 0.375000] 6506: [discriminator loss: 0.542014, acc: 0.703125] [adversarial loss: 1.099231, acc: 0.218750] 6507: [discriminator loss: 0.602019, acc: 0.656250] [adversarial loss: 1.018533, acc: 0.312500] 6508: [discriminator loss: 0.515003, acc: 0.757812] [adversarial loss: 1.167165, acc: 0.218750] 6509: [discriminator loss: 0.570570, acc: 0.742188] [adversarial loss: 1.220374, acc: 0.140625] 6510: [discriminator loss: 0.476648, acc: 0.765625] [adversarial loss: 1.309964, acc: 0.203125] 6511: [discriminator loss: 0.478897, acc: 0.789062] [adversarial loss: 1.228678, acc: 0.218750] 6512: [discriminator loss: 0.527029, acc: 0.734375] [adversarial loss: 1.141510, acc: 0.203125] 6513: [discriminator loss: 0.537574, acc: 0.679688] [adversarial loss: 1.049887, acc: 0.265625] 6514: [discriminator loss: 0.582834, acc: 0.718750] [adversarial loss: 1.528934, acc: 0.109375] 6515: [discriminator loss: 0.479645, acc: 0.796875] [adversarial loss: 1.035832, acc: 0.359375] 6516: [discriminator loss: 0.537995, acc: 0.734375] [adversarial loss: 1.173109, acc: 0.218750] 6517: [discriminator loss: 0.589952, acc: 0.664062] [adversarial loss: 1.146041, acc: 0.250000] 6518: [discriminator loss: 0.576892, acc: 0.671875] [adversarial loss: 1.198507, acc: 0.234375] 6519: [discriminator loss: 0.547349, acc: 0.726562] [adversarial loss: 1.398273, acc: 0.125000] 6520: [discriminator loss: 0.594306, acc: 0.648438] [adversarial loss: 1.155260, acc: 0.171875] 6521: [discriminator loss: 0.544455, acc: 0.757812] [adversarial loss: 1.061876, acc: 0.250000] 6522: [discriminator loss: 0.609216, acc: 0.671875] [adversarial loss: 0.731985, acc: 0.546875] 6523: [discriminator loss: 0.589551, acc: 0.687500] [adversarial loss: 1.536604, acc: 0.125000] 6524: [discriminator loss: 0.555625, acc: 0.726562] [adversarial loss: 0.887519, acc: 0.453125] 6525: [discriminator loss: 0.568691, acc: 0.695312] [adversarial loss: 1.155910, acc: 0.203125] 6526: [discriminator loss: 0.562590, acc: 0.703125] [adversarial loss: 1.086592, acc: 0.281250] 6527: [discriminator loss: 0.559627, acc: 0.710938] [adversarial loss: 0.978176, acc: 0.343750] 6528: [discriminator loss: 0.620270, acc: 0.664062] [adversarial loss: 1.495771, acc: 0.125000] 6529: [discriminator loss: 0.571617, acc: 0.648438] [adversarial loss: 1.085792, acc: 0.343750] 6530: [discriminator loss: 0.639581, acc: 0.703125] [adversarial loss: 1.230013, acc: 0.234375] 6531: [discriminator loss: 0.538838, acc: 0.781250] [adversarial loss: 1.019684, acc: 0.359375] 6532: [discriminator loss: 0.464177, acc: 0.789062] [adversarial loss: 1.088441, acc: 0.187500] 6533: [discriminator loss: 0.578879, acc: 0.664062] [adversarial loss: 1.136212, acc: 0.171875] 6534: [discriminator loss: 0.529239, acc: 0.726562] [adversarial loss: 1.193858, acc: 0.187500] 6535: [discriminator loss: 0.533543, acc: 0.710938] [adversarial loss: 1.060682, acc: 0.359375] 6536: [discriminator loss: 0.537580, acc: 0.718750] [adversarial loss: 1.329950, acc: 0.171875] 6537: [discriminator loss: 0.567578, acc: 0.656250] [adversarial loss: 0.828249, acc: 0.437500] 6538: [discriminator loss: 0.546385, acc: 0.750000] [adversarial loss: 1.258778, acc: 0.250000] 6539: [discriminator loss: 0.573843, acc: 0.656250] [adversarial loss: 1.063071, acc: 0.328125] 6540: [discriminator loss: 0.527708, acc: 0.734375] [adversarial loss: 1.357630, acc: 0.218750] 6541: [discriminator loss: 0.522245, acc: 0.750000] [adversarial loss: 1.412396, acc: 0.203125] 6542: [discriminator loss: 0.690289, acc: 0.578125] [adversarial loss: 1.089251, acc: 0.250000] 6543: [discriminator loss: 0.546838, acc: 0.718750] [adversarial loss: 1.370753, acc: 0.187500] 6544: [discriminator loss: 0.559593, acc: 0.687500] [adversarial loss: 1.323333, acc: 0.187500] 6545: [discriminator loss: 0.572499, acc: 0.710938] [adversarial loss: 1.029460, acc: 0.375000] 6546: [discriminator loss: 0.567468, acc: 0.703125] [adversarial loss: 1.455487, acc: 0.140625] 6547: [discriminator loss: 0.592271, acc: 0.656250] [adversarial loss: 0.930967, acc: 0.406250] 6548: [discriminator loss: 0.568567, acc: 0.703125] [adversarial loss: 1.296468, acc: 0.203125] 6549: [discriminator loss: 0.565278, acc: 0.687500] [adversarial loss: 1.203624, acc: 0.140625] 6550: [discriminator loss: 0.557121, acc: 0.718750] [adversarial loss: 1.075026, acc: 0.265625] 6551: [discriminator loss: 0.544830, acc: 0.710938] [adversarial loss: 1.440329, acc: 0.093750] 6552: [discriminator loss: 0.554963, acc: 0.703125] [adversarial loss: 0.848048, acc: 0.375000] 6553: [discriminator loss: 0.572839, acc: 0.671875] [adversarial loss: 1.533784, acc: 0.125000] 6554: [discriminator loss: 0.570379, acc: 0.679688] [adversarial loss: 0.942961, acc: 0.375000] 6555: [discriminator loss: 0.556813, acc: 0.718750] [adversarial loss: 1.233963, acc: 0.187500] 6556: [discriminator loss: 0.532877, acc: 0.695312] [adversarial loss: 0.887976, acc: 0.359375] 6557: [discriminator loss: 0.581979, acc: 0.718750] [adversarial loss: 1.294088, acc: 0.109375] 6558: [discriminator loss: 0.549308, acc: 0.710938] [adversarial loss: 0.940697, acc: 0.421875] 6559: [discriminator loss: 0.615246, acc: 0.671875] [adversarial loss: 1.359255, acc: 0.125000] 6560: [discriminator loss: 0.581862, acc: 0.710938] [adversarial loss: 0.872752, acc: 0.390625] 6561: [discriminator loss: 0.496107, acc: 0.773438] [adversarial loss: 1.422587, acc: 0.109375] 6562: [discriminator loss: 0.578430, acc: 0.710938] [adversarial loss: 0.771038, acc: 0.500000] 6563: [discriminator loss: 0.701680, acc: 0.570312] [adversarial loss: 1.449955, acc: 0.062500] 6564: [discriminator loss: 0.541421, acc: 0.750000] [adversarial loss: 1.101575, acc: 0.265625] 6565: [discriminator loss: 0.578627, acc: 0.687500] [adversarial loss: 1.023088, acc: 0.250000] 6566: [discriminator loss: 0.566965, acc: 0.687500] [adversarial loss: 1.356391, acc: 0.109375] 6567: [discriminator loss: 0.587361, acc: 0.664062] [adversarial loss: 0.996472, acc: 0.296875] 6568: [discriminator loss: 0.562672, acc: 0.679688] [adversarial loss: 1.228670, acc: 0.234375] 6569: [discriminator loss: 0.572425, acc: 0.703125] [adversarial loss: 0.975301, acc: 0.281250] 6570: [discriminator loss: 0.595583, acc: 0.664062] [adversarial loss: 0.979894, acc: 0.296875] 6571: [discriminator loss: 0.534545, acc: 0.726562] [adversarial loss: 1.238855, acc: 0.203125] 6572: [discriminator loss: 0.576670, acc: 0.679688] [adversarial loss: 0.871746, acc: 0.343750] 6573: [discriminator loss: 0.549866, acc: 0.734375] [adversarial loss: 1.317433, acc: 0.093750] 6574: [discriminator loss: 0.569338, acc: 0.640625] [adversarial loss: 0.922445, acc: 0.359375] 6575: [discriminator loss: 0.621270, acc: 0.648438] [adversarial loss: 1.446914, acc: 0.125000] 6576: [discriminator loss: 0.560145, acc: 0.695312] [adversarial loss: 0.977561, acc: 0.406250] 6577: [discriminator loss: 0.545010, acc: 0.726562] [adversarial loss: 1.131767, acc: 0.250000] 6578: [discriminator loss: 0.596488, acc: 0.679688] [adversarial loss: 1.004783, acc: 0.265625] 6579: [discriminator loss: 0.564645, acc: 0.726562] [adversarial loss: 1.190199, acc: 0.171875] 6580: [discriminator loss: 0.541418, acc: 0.734375] [adversarial loss: 0.887463, acc: 0.437500] 6581: [discriminator loss: 0.567598, acc: 0.679688] [adversarial loss: 1.189345, acc: 0.234375] 6582: [discriminator loss: 0.567697, acc: 0.687500] [adversarial loss: 1.031835, acc: 0.250000] 6583: [discriminator loss: 0.537277, acc: 0.703125] [adversarial loss: 1.074657, acc: 0.234375] 6584: [discriminator loss: 0.557730, acc: 0.734375] [adversarial loss: 1.389318, acc: 0.187500] 6585: [discriminator loss: 0.478137, acc: 0.734375] [adversarial loss: 1.193782, acc: 0.296875] 6586: [discriminator loss: 0.519422, acc: 0.726562] [adversarial loss: 1.022699, acc: 0.375000] 6587: [discriminator loss: 0.575269, acc: 0.648438] [adversarial loss: 1.311164, acc: 0.125000] 6588: [discriminator loss: 0.563523, acc: 0.718750] [adversarial loss: 0.832858, acc: 0.453125] 6589: [discriminator loss: 0.564200, acc: 0.687500] [adversarial loss: 1.674852, acc: 0.046875] 6590: [discriminator loss: 0.580894, acc: 0.640625] [adversarial loss: 0.913222, acc: 0.406250] 6591: [discriminator loss: 0.555610, acc: 0.695312] [adversarial loss: 1.312694, acc: 0.250000] 6592: [discriminator loss: 0.579477, acc: 0.703125] [adversarial loss: 0.972115, acc: 0.281250] 6593: [discriminator loss: 0.437728, acc: 0.812500] [adversarial loss: 1.314361, acc: 0.156250] 6594: [discriminator loss: 0.468926, acc: 0.796875] [adversarial loss: 1.059584, acc: 0.359375] 6595: [discriminator loss: 0.521861, acc: 0.757812] [adversarial loss: 0.921627, acc: 0.406250] 6596: [discriminator loss: 0.594717, acc: 0.726562] [adversarial loss: 1.099687, acc: 0.265625] 6597: [discriminator loss: 0.550878, acc: 0.687500] [adversarial loss: 1.416143, acc: 0.125000] 6598: [discriminator loss: 0.522330, acc: 0.742188] [adversarial loss: 0.934281, acc: 0.390625] 6599: [discriminator loss: 0.633271, acc: 0.585938] [adversarial loss: 1.500673, acc: 0.171875] 6600: [discriminator loss: 0.553329, acc: 0.726562] [adversarial loss: 0.956954, acc: 0.453125] 6601: [discriminator loss: 0.458704, acc: 0.765625] [adversarial loss: 1.233745, acc: 0.187500] 6602: [discriminator loss: 0.501856, acc: 0.718750] [adversarial loss: 0.910880, acc: 0.390625] 6603: [discriminator loss: 0.590069, acc: 0.679688] [adversarial loss: 1.501613, acc: 0.125000] 6604: [discriminator loss: 0.603050, acc: 0.664062] [adversarial loss: 0.828721, acc: 0.453125] 6605: [discriminator loss: 0.580886, acc: 0.679688] [adversarial loss: 1.659118, acc: 0.031250] 6606: [discriminator loss: 0.579934, acc: 0.718750] [adversarial loss: 1.102858, acc: 0.312500] 6607: [discriminator loss: 0.554338, acc: 0.687500] [adversarial loss: 1.013477, acc: 0.281250] 6608: [discriminator loss: 0.591444, acc: 0.671875] [adversarial loss: 1.429443, acc: 0.156250] 6609: [discriminator loss: 0.608092, acc: 0.656250] [adversarial loss: 1.140732, acc: 0.203125] 6610: [discriminator loss: 0.512370, acc: 0.765625] [adversarial loss: 1.217962, acc: 0.218750] 6611: [discriminator loss: 0.443783, acc: 0.812500] [adversarial loss: 1.268442, acc: 0.203125] 6612: [discriminator loss: 0.563575, acc: 0.671875] [adversarial loss: 1.035575, acc: 0.281250] 6613: [discriminator loss: 0.541714, acc: 0.718750] [adversarial loss: 1.083608, acc: 0.250000] 6614: [discriminator loss: 0.547195, acc: 0.742188] [adversarial loss: 1.161305, acc: 0.312500] 6615: [discriminator loss: 0.607775, acc: 0.687500] [adversarial loss: 1.201861, acc: 0.281250] 6616: [discriminator loss: 0.561801, acc: 0.695312] [adversarial loss: 1.028673, acc: 0.312500] 6617: [discriminator loss: 0.595367, acc: 0.656250] [adversarial loss: 1.126858, acc: 0.265625] 6618: [discriminator loss: 0.574473, acc: 0.734375] [adversarial loss: 1.294831, acc: 0.187500] 6619: [discriminator loss: 0.517123, acc: 0.757812] [adversarial loss: 0.945110, acc: 0.328125] 6620: [discriminator loss: 0.487990, acc: 0.726562] [adversarial loss: 1.187352, acc: 0.250000] 6621: [discriminator loss: 0.624557, acc: 0.648438] [adversarial loss: 1.425133, acc: 0.140625] 6622: [discriminator loss: 0.602732, acc: 0.687500] [adversarial loss: 0.834439, acc: 0.437500] 6623: [discriminator loss: 0.562524, acc: 0.703125] [adversarial loss: 1.474222, acc: 0.171875] 6624: [discriminator loss: 0.574408, acc: 0.718750] [adversarial loss: 1.069810, acc: 0.281250] 6625: [discriminator loss: 0.574441, acc: 0.656250] [adversarial loss: 1.248036, acc: 0.125000] 6626: [discriminator loss: 0.491162, acc: 0.781250] [adversarial loss: 1.197712, acc: 0.265625] 6627: [discriminator loss: 0.605003, acc: 0.710938] [adversarial loss: 0.902535, acc: 0.437500] 6628: [discriminator loss: 0.535987, acc: 0.757812] [adversarial loss: 1.058393, acc: 0.281250] 6629: [discriminator loss: 0.514422, acc: 0.742188] [adversarial loss: 1.121470, acc: 0.187500] 6630: [discriminator loss: 0.552096, acc: 0.742188] [adversarial loss: 1.340137, acc: 0.171875] 6631: [discriminator loss: 0.503842, acc: 0.718750] [adversarial loss: 0.981556, acc: 0.328125] 6632: [discriminator loss: 0.572067, acc: 0.726562] [adversarial loss: 1.358911, acc: 0.156250] 6633: [discriminator loss: 0.572489, acc: 0.679688] [adversarial loss: 0.793506, acc: 0.437500] 6634: [discriminator loss: 0.574503, acc: 0.695312] [adversarial loss: 1.332837, acc: 0.109375] 6635: [discriminator loss: 0.533664, acc: 0.726562] [adversarial loss: 0.962143, acc: 0.343750] 6636: [discriminator loss: 0.602162, acc: 0.750000] [adversarial loss: 1.104165, acc: 0.234375] 6637: [discriminator loss: 0.515611, acc: 0.710938] [adversarial loss: 1.026539, acc: 0.375000] 6638: [discriminator loss: 0.576878, acc: 0.671875] [adversarial loss: 1.420299, acc: 0.078125] 6639: [discriminator loss: 0.603734, acc: 0.671875] [adversarial loss: 1.016745, acc: 0.343750] 6640: [discriminator loss: 0.499962, acc: 0.757812] [adversarial loss: 1.119433, acc: 0.218750] 6641: [discriminator loss: 0.460563, acc: 0.796875] [adversarial loss: 1.108248, acc: 0.265625] 6642: [discriminator loss: 0.629744, acc: 0.617188] [adversarial loss: 1.258877, acc: 0.187500] 6643: [discriminator loss: 0.590373, acc: 0.664062] [adversarial loss: 1.035194, acc: 0.343750] 6644: [discriminator loss: 0.566394, acc: 0.742188] [adversarial loss: 1.262269, acc: 0.203125] 6645: [discriminator loss: 0.567092, acc: 0.718750] [adversarial loss: 0.917141, acc: 0.437500] 6646: [discriminator loss: 0.535543, acc: 0.718750] [adversarial loss: 1.414436, acc: 0.203125] 6647: [discriminator loss: 0.531051, acc: 0.750000] [adversarial loss: 0.863193, acc: 0.437500] 6648: [discriminator loss: 0.523448, acc: 0.750000] [adversarial loss: 1.502606, acc: 0.187500] 6649: [discriminator loss: 0.646097, acc: 0.625000] [adversarial loss: 0.754975, acc: 0.468750] 6650: [discriminator loss: 0.598460, acc: 0.656250] [adversarial loss: 1.307365, acc: 0.109375] 6651: [discriminator loss: 0.547130, acc: 0.687500] [adversarial loss: 1.009535, acc: 0.296875] 6652: [discriminator loss: 0.547875, acc: 0.750000] [adversarial loss: 1.166611, acc: 0.218750] 6653: [discriminator loss: 0.578768, acc: 0.710938] [adversarial loss: 0.985478, acc: 0.265625] 6654: [discriminator loss: 0.627999, acc: 0.640625] [adversarial loss: 1.408822, acc: 0.203125] 6655: [discriminator loss: 0.579021, acc: 0.710938] [adversarial loss: 0.869096, acc: 0.437500] 6656: [discriminator loss: 0.600026, acc: 0.617188] [adversarial loss: 1.473513, acc: 0.125000] 6657: [discriminator loss: 0.642863, acc: 0.640625] [adversarial loss: 0.952003, acc: 0.390625] 6658: [discriminator loss: 0.560695, acc: 0.679688] [adversarial loss: 1.273202, acc: 0.156250] 6659: [discriminator loss: 0.570876, acc: 0.710938] [adversarial loss: 0.842805, acc: 0.468750] 6660: [discriminator loss: 0.564059, acc: 0.648438] [adversarial loss: 1.366827, acc: 0.125000] 6661: [discriminator loss: 0.586187, acc: 0.695312] [adversarial loss: 1.076893, acc: 0.218750] 6662: [discriminator loss: 0.527244, acc: 0.757812] [adversarial loss: 1.233997, acc: 0.187500] 6663: [discriminator loss: 0.500426, acc: 0.742188] [adversarial loss: 1.070634, acc: 0.312500] 6664: [discriminator loss: 0.587183, acc: 0.726562] [adversarial loss: 1.034428, acc: 0.296875] 6665: [discriminator loss: 0.563927, acc: 0.734375] [adversarial loss: 1.216025, acc: 0.234375] 6666: [discriminator loss: 0.571832, acc: 0.687500] [adversarial loss: 1.288685, acc: 0.156250] 6667: [discriminator loss: 0.538825, acc: 0.734375] [adversarial loss: 1.171158, acc: 0.156250] 6668: [discriminator loss: 0.571832, acc: 0.703125] [adversarial loss: 1.120631, acc: 0.218750] 6669: [discriminator loss: 0.500810, acc: 0.734375] [adversarial loss: 1.094489, acc: 0.281250] 6670: [discriminator loss: 0.494094, acc: 0.804688] [adversarial loss: 1.323414, acc: 0.093750] 6671: [discriminator loss: 0.536595, acc: 0.742188] [adversarial loss: 1.196402, acc: 0.234375] 6672: [discriminator loss: 0.547328, acc: 0.703125] [adversarial loss: 1.379622, acc: 0.171875] 6673: [discriminator loss: 0.531791, acc: 0.687500] [adversarial loss: 0.992665, acc: 0.328125] 6674: [discriminator loss: 0.488978, acc: 0.765625] [adversarial loss: 1.278663, acc: 0.187500] 6675: [discriminator loss: 0.538072, acc: 0.750000] [adversarial loss: 0.885760, acc: 0.437500] 6676: [discriminator loss: 0.497527, acc: 0.804688] [adversarial loss: 1.412701, acc: 0.078125] 6677: [discriminator loss: 0.515123, acc: 0.750000] [adversarial loss: 0.967114, acc: 0.359375] 6678: [discriminator loss: 0.521264, acc: 0.750000] [adversarial loss: 1.388520, acc: 0.250000] 6679: [discriminator loss: 0.627851, acc: 0.664062] [adversarial loss: 1.157261, acc: 0.234375] 6680: [discriminator loss: 0.611991, acc: 0.679688] [adversarial loss: 1.108538, acc: 0.203125] 6681: [discriminator loss: 0.596137, acc: 0.687500] [adversarial loss: 1.138635, acc: 0.218750] 6682: [discriminator loss: 0.566320, acc: 0.687500] [adversarial loss: 1.051334, acc: 0.359375] 6683: [discriminator loss: 0.561300, acc: 0.718750] [adversarial loss: 1.523362, acc: 0.046875] 6684: [discriminator loss: 0.600506, acc: 0.695312] [adversarial loss: 0.998649, acc: 0.359375] 6685: [discriminator loss: 0.502482, acc: 0.796875] [adversarial loss: 1.178467, acc: 0.171875] 6686: [discriminator loss: 0.640947, acc: 0.640625] [adversarial loss: 1.015442, acc: 0.312500] 6687: [discriminator loss: 0.559097, acc: 0.726562] [adversarial loss: 1.452274, acc: 0.125000] 6688: [discriminator loss: 0.524301, acc: 0.726562] [adversarial loss: 1.120475, acc: 0.250000] 6689: [discriminator loss: 0.558687, acc: 0.734375] [adversarial loss: 1.140734, acc: 0.250000] 6690: [discriminator loss: 0.549396, acc: 0.765625] [adversarial loss: 1.300056, acc: 0.093750] 6691: [discriminator loss: 0.526935, acc: 0.742188] [adversarial loss: 1.139694, acc: 0.265625] 6692: [discriminator loss: 0.596946, acc: 0.679688] [adversarial loss: 1.538597, acc: 0.125000] 6693: [discriminator loss: 0.596244, acc: 0.687500] [adversarial loss: 0.992479, acc: 0.328125] 6694: [discriminator loss: 0.615280, acc: 0.703125] [adversarial loss: 1.199221, acc: 0.265625] 6695: [discriminator loss: 0.474722, acc: 0.796875] [adversarial loss: 1.099310, acc: 0.250000] 6696: [discriminator loss: 0.507359, acc: 0.765625] [adversarial loss: 1.227988, acc: 0.140625] 6697: [discriminator loss: 0.585300, acc: 0.687500] [adversarial loss: 1.040533, acc: 0.343750] 6698: [discriminator loss: 0.534518, acc: 0.742188] [adversarial loss: 1.412104, acc: 0.156250] 6699: [discriminator loss: 0.591865, acc: 0.679688] [adversarial loss: 0.968978, acc: 0.296875] 6700: [discriminator loss: 0.504254, acc: 0.734375] [adversarial loss: 1.071604, acc: 0.343750] 6701: [discriminator loss: 0.489744, acc: 0.765625] [adversarial loss: 1.196658, acc: 0.250000] 6702: [discriminator loss: 0.587208, acc: 0.648438] [adversarial loss: 0.911587, acc: 0.343750] 6703: [discriminator loss: 0.546056, acc: 0.757812] [adversarial loss: 1.111070, acc: 0.265625] 6704: [discriminator loss: 0.523044, acc: 0.710938] [adversarial loss: 1.004848, acc: 0.250000] 6705: [discriminator loss: 0.529621, acc: 0.710938] [adversarial loss: 1.346067, acc: 0.109375] 6706: [discriminator loss: 0.569423, acc: 0.671875] [adversarial loss: 0.697068, acc: 0.562500] 6707: [discriminator loss: 0.572273, acc: 0.687500] [adversarial loss: 1.219732, acc: 0.234375] 6708: [discriminator loss: 0.503661, acc: 0.750000] [adversarial loss: 1.100538, acc: 0.281250] 6709: [discriminator loss: 0.527581, acc: 0.695312] [adversarial loss: 1.090925, acc: 0.359375] 6710: [discriminator loss: 0.504280, acc: 0.757812] [adversarial loss: 1.046526, acc: 0.343750] 6711: [discriminator loss: 0.503897, acc: 0.726562] [adversarial loss: 1.080813, acc: 0.343750] 6712: [discriminator loss: 0.531401, acc: 0.742188] [adversarial loss: 0.950619, acc: 0.343750] 6713: [discriminator loss: 0.576736, acc: 0.734375] [adversarial loss: 1.555688, acc: 0.125000] 6714: [discriminator loss: 0.613695, acc: 0.656250] [adversarial loss: 0.783719, acc: 0.437500] 6715: [discriminator loss: 0.512772, acc: 0.742188] [adversarial loss: 1.694496, acc: 0.078125] 6716: [discriminator loss: 0.539832, acc: 0.703125] [adversarial loss: 1.054671, acc: 0.328125] 6717: [discriminator loss: 0.587922, acc: 0.679688] [adversarial loss: 1.657228, acc: 0.062500] 6718: [discriminator loss: 0.510390, acc: 0.710938] [adversarial loss: 0.854595, acc: 0.453125] 6719: [discriminator loss: 0.565394, acc: 0.734375] [adversarial loss: 1.179773, acc: 0.140625] 6720: [discriminator loss: 0.546747, acc: 0.687500] [adversarial loss: 1.142197, acc: 0.171875] 6721: [discriminator loss: 0.535597, acc: 0.726562] [adversarial loss: 1.424392, acc: 0.125000] 6722: [discriminator loss: 0.554824, acc: 0.718750] [adversarial loss: 0.963368, acc: 0.312500] 6723: [discriminator loss: 0.582864, acc: 0.687500] [adversarial loss: 1.133631, acc: 0.203125] 6724: [discriminator loss: 0.537764, acc: 0.726562] [adversarial loss: 1.024304, acc: 0.281250] 6725: [discriminator loss: 0.531526, acc: 0.734375] [adversarial loss: 1.238076, acc: 0.187500] 6726: [discriminator loss: 0.548586, acc: 0.726562] [adversarial loss: 1.150227, acc: 0.218750] 6727: [discriminator loss: 0.530080, acc: 0.750000] [adversarial loss: 1.051707, acc: 0.296875] 6728: [discriminator loss: 0.557387, acc: 0.695312] [adversarial loss: 1.206914, acc: 0.203125] 6729: [discriminator loss: 0.551158, acc: 0.718750] [adversarial loss: 1.077551, acc: 0.250000] 6730: [discriminator loss: 0.567000, acc: 0.664062] [adversarial loss: 1.073102, acc: 0.250000] 6731: [discriminator loss: 0.568140, acc: 0.664062] [adversarial loss: 1.123921, acc: 0.250000] 6732: [discriminator loss: 0.565880, acc: 0.679688] [adversarial loss: 1.222944, acc: 0.171875] 6733: [discriminator loss: 0.598859, acc: 0.656250] [adversarial loss: 0.754978, acc: 0.515625] 6734: [discriminator loss: 0.512402, acc: 0.781250] [adversarial loss: 1.281533, acc: 0.156250] 6735: [discriminator loss: 0.595078, acc: 0.703125] [adversarial loss: 0.813473, acc: 0.421875] 6736: [discriminator loss: 0.568100, acc: 0.710938] [adversarial loss: 1.368419, acc: 0.187500] 6737: [discriminator loss: 0.604211, acc: 0.617188] [adversarial loss: 0.946429, acc: 0.328125] 6738: [discriminator loss: 0.541772, acc: 0.796875] [adversarial loss: 1.289500, acc: 0.187500] 6739: [discriminator loss: 0.613084, acc: 0.640625] [adversarial loss: 0.951436, acc: 0.390625] 6740: [discriminator loss: 0.638683, acc: 0.625000] [adversarial loss: 1.324444, acc: 0.187500] 6741: [discriminator loss: 0.551045, acc: 0.695312] [adversarial loss: 1.052237, acc: 0.296875] 6742: [discriminator loss: 0.556481, acc: 0.703125] [adversarial loss: 0.940519, acc: 0.328125] 6743: [discriminator loss: 0.602261, acc: 0.664062] [adversarial loss: 1.234582, acc: 0.171875] 6744: [discriminator loss: 0.533122, acc: 0.726562] [adversarial loss: 0.923186, acc: 0.406250] 6745: [discriminator loss: 0.495118, acc: 0.765625] [adversarial loss: 1.405183, acc: 0.078125] 6746: [discriminator loss: 0.507443, acc: 0.734375] [adversarial loss: 1.070157, acc: 0.203125] 6747: [discriminator loss: 0.611091, acc: 0.656250] [adversarial loss: 1.139978, acc: 0.203125] 6748: [discriminator loss: 0.547540, acc: 0.718750] [adversarial loss: 1.161051, acc: 0.328125] 6749: [discriminator loss: 0.557419, acc: 0.710938] [adversarial loss: 1.241307, acc: 0.156250] 6750: [discriminator loss: 0.538034, acc: 0.703125] [adversarial loss: 1.236662, acc: 0.140625] 6751: [discriminator loss: 0.547021, acc: 0.687500] [adversarial loss: 0.864133, acc: 0.468750] 6752: [discriminator loss: 0.573297, acc: 0.656250] [adversarial loss: 1.478253, acc: 0.078125] 6753: [discriminator loss: 0.638045, acc: 0.671875] [adversarial loss: 1.002007, acc: 0.312500] 6754: [discriminator loss: 0.585707, acc: 0.671875] [adversarial loss: 1.638709, acc: 0.093750] 6755: [discriminator loss: 0.582411, acc: 0.640625] [adversarial loss: 0.891273, acc: 0.343750] 6756: [discriminator loss: 0.616836, acc: 0.632812] [adversarial loss: 1.117462, acc: 0.187500] 6757: [discriminator loss: 0.548165, acc: 0.703125] [adversarial loss: 1.231240, acc: 0.171875] 6758: [discriminator loss: 0.492308, acc: 0.796875] [adversarial loss: 1.182568, acc: 0.203125] 6759: [discriminator loss: 0.509689, acc: 0.742188] [adversarial loss: 1.542907, acc: 0.140625] 6760: [discriminator loss: 0.605024, acc: 0.664062] [adversarial loss: 1.097883, acc: 0.203125] 6761: [discriminator loss: 0.519921, acc: 0.734375] [adversarial loss: 1.512323, acc: 0.171875] 6762: [discriminator loss: 0.580396, acc: 0.695312] [adversarial loss: 1.253796, acc: 0.156250] 6763: [discriminator loss: 0.556230, acc: 0.695312] [adversarial loss: 1.255592, acc: 0.203125] 6764: [discriminator loss: 0.572736, acc: 0.656250] [adversarial loss: 1.084838, acc: 0.281250] 6765: [discriminator loss: 0.530128, acc: 0.726562] [adversarial loss: 1.235852, acc: 0.218750] 6766: [discriminator loss: 0.545353, acc: 0.726562] [adversarial loss: 1.017488, acc: 0.328125] 6767: [discriminator loss: 0.591637, acc: 0.656250] [adversarial loss: 1.236543, acc: 0.203125] 6768: [discriminator loss: 0.485099, acc: 0.742188] [adversarial loss: 1.172901, acc: 0.171875] 6769: [discriminator loss: 0.559092, acc: 0.695312] [adversarial loss: 1.085312, acc: 0.234375] 6770: [discriminator loss: 0.609677, acc: 0.671875] [adversarial loss: 1.171558, acc: 0.187500] 6771: [discriminator loss: 0.574596, acc: 0.703125] [adversarial loss: 1.033265, acc: 0.312500] 6772: [discriminator loss: 0.564028, acc: 0.695312] [adversarial loss: 1.227929, acc: 0.140625] 6773: [discriminator loss: 0.496550, acc: 0.726562] [adversarial loss: 0.807550, acc: 0.468750] 6774: [discriminator loss: 0.598451, acc: 0.664062] [adversarial loss: 1.204908, acc: 0.140625] 6775: [discriminator loss: 0.531596, acc: 0.710938] [adversarial loss: 1.099293, acc: 0.343750] 6776: [discriminator loss: 0.471133, acc: 0.789062] [adversarial loss: 1.171841, acc: 0.109375] 6777: [discriminator loss: 0.542696, acc: 0.734375] [adversarial loss: 1.167726, acc: 0.218750] 6778: [discriminator loss: 0.584653, acc: 0.695312] [adversarial loss: 1.337540, acc: 0.187500] 6779: [discriminator loss: 0.619604, acc: 0.648438] [adversarial loss: 1.123443, acc: 0.250000] 6780: [discriminator loss: 0.548988, acc: 0.718750] [adversarial loss: 1.098887, acc: 0.328125] 6781: [discriminator loss: 0.522473, acc: 0.742188] [adversarial loss: 1.118521, acc: 0.265625] 6782: [discriminator loss: 0.549334, acc: 0.695312] [adversarial loss: 1.548603, acc: 0.062500] 6783: [discriminator loss: 0.560239, acc: 0.695312] [adversarial loss: 0.709952, acc: 0.562500] 6784: [discriminator loss: 0.625479, acc: 0.671875] [adversarial loss: 1.521499, acc: 0.156250] 6785: [discriminator loss: 0.653241, acc: 0.625000] [adversarial loss: 0.828828, acc: 0.390625] 6786: [discriminator loss: 0.567517, acc: 0.718750] [adversarial loss: 1.433130, acc: 0.093750] 6787: [discriminator loss: 0.651111, acc: 0.671875] [adversarial loss: 0.790006, acc: 0.484375] 6788: [discriminator loss: 0.557101, acc: 0.710938] [adversarial loss: 1.347401, acc: 0.156250] 6789: [discriminator loss: 0.546518, acc: 0.750000] [adversarial loss: 0.998538, acc: 0.406250] 6790: [discriminator loss: 0.557737, acc: 0.718750] [adversarial loss: 1.220777, acc: 0.218750] 6791: [discriminator loss: 0.569753, acc: 0.742188] [adversarial loss: 1.192434, acc: 0.203125] 6792: [discriminator loss: 0.561179, acc: 0.664062] [adversarial loss: 1.051644, acc: 0.312500] 6793: [discriminator loss: 0.566115, acc: 0.734375] [adversarial loss: 1.538084, acc: 0.093750] 6794: [discriminator loss: 0.528178, acc: 0.710938] [adversarial loss: 0.890148, acc: 0.437500] 6795: [discriminator loss: 0.586337, acc: 0.734375] [adversarial loss: 1.150357, acc: 0.218750] 6796: [discriminator loss: 0.535889, acc: 0.687500] [adversarial loss: 1.043122, acc: 0.328125] 6797: [discriminator loss: 0.466970, acc: 0.828125] [adversarial loss: 1.191307, acc: 0.140625] 6798: [discriminator loss: 0.567513, acc: 0.687500] [adversarial loss: 1.248342, acc: 0.203125] 6799: [discriminator loss: 0.504883, acc: 0.789062] [adversarial loss: 1.118179, acc: 0.296875] 6800: [discriminator loss: 0.449590, acc: 0.812500] [adversarial loss: 1.270455, acc: 0.234375] 6801: [discriminator loss: 0.654245, acc: 0.609375] [adversarial loss: 1.119035, acc: 0.296875] 6802: [discriminator loss: 0.516399, acc: 0.757812] [adversarial loss: 1.253693, acc: 0.218750] 6803: [discriminator loss: 0.547620, acc: 0.726562] [adversarial loss: 1.128511, acc: 0.234375] 6804: [discriminator loss: 0.547983, acc: 0.734375] [adversarial loss: 1.172409, acc: 0.187500] 6805: [discriminator loss: 0.524804, acc: 0.703125] [adversarial loss: 1.402608, acc: 0.156250] 6806: [discriminator loss: 0.630748, acc: 0.664062] [adversarial loss: 1.123111, acc: 0.234375] 6807: [discriminator loss: 0.596637, acc: 0.656250] [adversarial loss: 1.279661, acc: 0.109375] 6808: [discriminator loss: 0.619032, acc: 0.593750] [adversarial loss: 1.102627, acc: 0.281250] 6809: [discriminator loss: 0.611897, acc: 0.695312] [adversarial loss: 1.325792, acc: 0.156250] 6810: [discriminator loss: 0.532971, acc: 0.726562] [adversarial loss: 1.062698, acc: 0.234375] 6811: [discriminator loss: 0.546008, acc: 0.742188] [adversarial loss: 1.261739, acc: 0.156250] 6812: [discriminator loss: 0.587281, acc: 0.687500] [adversarial loss: 1.007963, acc: 0.281250] 6813: [discriminator loss: 0.590451, acc: 0.695312] [adversarial loss: 1.255705, acc: 0.156250] 6814: [discriminator loss: 0.575608, acc: 0.718750] [adversarial loss: 1.096351, acc: 0.359375] 6815: [discriminator loss: 0.635442, acc: 0.671875] [adversarial loss: 1.674276, acc: 0.078125] 6816: [discriminator loss: 0.589239, acc: 0.679688] [adversarial loss: 0.887614, acc: 0.375000] 6817: [discriminator loss: 0.510958, acc: 0.765625] [adversarial loss: 1.534697, acc: 0.125000] 6818: [discriminator loss: 0.599451, acc: 0.664062] [adversarial loss: 0.970178, acc: 0.406250] 6819: [discriminator loss: 0.523509, acc: 0.765625] [adversarial loss: 1.464931, acc: 0.078125] 6820: [discriminator loss: 0.495736, acc: 0.750000] [adversarial loss: 0.976287, acc: 0.390625] 6821: [discriminator loss: 0.536732, acc: 0.726562] [adversarial loss: 1.285321, acc: 0.218750] 6822: [discriminator loss: 0.601125, acc: 0.695312] [adversarial loss: 0.896957, acc: 0.437500] 6823: [discriminator loss: 0.550162, acc: 0.718750] [adversarial loss: 1.306151, acc: 0.109375] 6824: [discriminator loss: 0.541013, acc: 0.718750] [adversarial loss: 1.064506, acc: 0.296875] 6825: [discriminator loss: 0.516762, acc: 0.804688] [adversarial loss: 1.294403, acc: 0.171875] 6826: [discriminator loss: 0.534021, acc: 0.679688] [adversarial loss: 0.983283, acc: 0.312500] 6827: [discriminator loss: 0.631519, acc: 0.656250] [adversarial loss: 1.486080, acc: 0.093750] 6828: [discriminator loss: 0.561805, acc: 0.703125] [adversarial loss: 0.921893, acc: 0.421875] 6829: [discriminator loss: 0.546860, acc: 0.742188] [adversarial loss: 1.589509, acc: 0.093750] 6830: [discriminator loss: 0.495730, acc: 0.765625] [adversarial loss: 0.911776, acc: 0.328125] 6831: [discriminator loss: 0.576167, acc: 0.671875] [adversarial loss: 1.761567, acc: 0.031250] 6832: [discriminator loss: 0.547173, acc: 0.718750] [adversarial loss: 0.923667, acc: 0.390625] 6833: [discriminator loss: 0.529317, acc: 0.703125] [adversarial loss: 1.328552, acc: 0.140625] 6834: [discriminator loss: 0.645951, acc: 0.640625] [adversarial loss: 1.002599, acc: 0.312500] 6835: [discriminator loss: 0.643455, acc: 0.679688] [adversarial loss: 1.310201, acc: 0.125000] 6836: [discriminator loss: 0.564073, acc: 0.718750] [adversarial loss: 1.070051, acc: 0.281250] 6837: [discriminator loss: 0.566586, acc: 0.679688] [adversarial loss: 1.098844, acc: 0.281250] 6838: [discriminator loss: 0.544058, acc: 0.726562] [adversarial loss: 1.073459, acc: 0.281250] 6839: [discriminator loss: 0.620364, acc: 0.664062] [adversarial loss: 1.195010, acc: 0.234375] 6840: [discriminator loss: 0.563468, acc: 0.664062] [adversarial loss: 0.845165, acc: 0.406250] 6841: [discriminator loss: 0.509117, acc: 0.757812] [adversarial loss: 1.238147, acc: 0.171875] 6842: [discriminator loss: 0.562922, acc: 0.695312] [adversarial loss: 0.962299, acc: 0.343750] 6843: [discriminator loss: 0.530251, acc: 0.750000] [adversarial loss: 1.335942, acc: 0.093750] 6844: [discriminator loss: 0.514648, acc: 0.742188] [adversarial loss: 1.099004, acc: 0.296875] 6845: [discriminator loss: 0.547968, acc: 0.664062] [adversarial loss: 1.238381, acc: 0.234375] 6846: [discriminator loss: 0.534128, acc: 0.742188] [adversarial loss: 0.920326, acc: 0.406250] 6847: [discriminator loss: 0.562713, acc: 0.718750] [adversarial loss: 1.402615, acc: 0.109375] 6848: [discriminator loss: 0.596525, acc: 0.671875] [adversarial loss: 1.048686, acc: 0.296875] 6849: [discriminator loss: 0.556676, acc: 0.718750] [adversarial loss: 1.308579, acc: 0.218750] 6850: [discriminator loss: 0.522680, acc: 0.734375] [adversarial loss: 0.894821, acc: 0.375000] 6851: [discriminator loss: 0.575292, acc: 0.656250] [adversarial loss: 1.350359, acc: 0.140625] 6852: [discriminator loss: 0.601443, acc: 0.679688] [adversarial loss: 0.918657, acc: 0.328125] 6853: [discriminator loss: 0.582919, acc: 0.695312] [adversarial loss: 1.340363, acc: 0.125000] 6854: [discriminator loss: 0.541938, acc: 0.687500] [adversarial loss: 0.964980, acc: 0.375000] 6855: [discriminator loss: 0.585948, acc: 0.679688] [adversarial loss: 1.426509, acc: 0.125000] 6856: [discriminator loss: 0.579686, acc: 0.671875] [adversarial loss: 0.828892, acc: 0.406250] 6857: [discriminator loss: 0.628176, acc: 0.632812] [adversarial loss: 1.402136, acc: 0.171875] 6858: [discriminator loss: 0.609336, acc: 0.664062] [adversarial loss: 0.937269, acc: 0.328125] 6859: [discriminator loss: 0.553798, acc: 0.703125] [adversarial loss: 1.225820, acc: 0.218750] 6860: [discriminator loss: 0.574879, acc: 0.687500] [adversarial loss: 0.885182, acc: 0.437500] 6861: [discriminator loss: 0.468985, acc: 0.796875] [adversarial loss: 1.284176, acc: 0.187500] 6862: [discriminator loss: 0.540547, acc: 0.703125] [adversarial loss: 1.050326, acc: 0.281250] 6863: [discriminator loss: 0.607901, acc: 0.664062] [adversarial loss: 1.313974, acc: 0.156250] 6864: [discriminator loss: 0.450079, acc: 0.812500] [adversarial loss: 1.142674, acc: 0.312500] 6865: [discriminator loss: 0.568181, acc: 0.703125] [adversarial loss: 1.050871, acc: 0.250000] 6866: [discriminator loss: 0.543660, acc: 0.726562] [adversarial loss: 1.211540, acc: 0.281250] 6867: [discriminator loss: 0.498354, acc: 0.742188] [adversarial loss: 1.137290, acc: 0.234375] 6868: [discriminator loss: 0.539284, acc: 0.742188] [adversarial loss: 1.096218, acc: 0.187500] 6869: [discriminator loss: 0.543989, acc: 0.703125] [adversarial loss: 1.132999, acc: 0.312500] 6870: [discriminator loss: 0.494296, acc: 0.765625] [adversarial loss: 1.311532, acc: 0.156250] 6871: [discriminator loss: 0.558588, acc: 0.757812] [adversarial loss: 1.058859, acc: 0.328125] 6872: [discriminator loss: 0.542247, acc: 0.679688] [adversarial loss: 1.384128, acc: 0.203125] 6873: [discriminator loss: 0.497541, acc: 0.750000] [adversarial loss: 0.981222, acc: 0.359375] 6874: [discriminator loss: 0.558368, acc: 0.726562] [adversarial loss: 1.400217, acc: 0.078125] 6875: [discriminator loss: 0.547429, acc: 0.695312] [adversarial loss: 0.861551, acc: 0.453125] 6876: [discriminator loss: 0.580187, acc: 0.679688] [adversarial loss: 1.351174, acc: 0.156250] 6877: [discriminator loss: 0.584638, acc: 0.679688] [adversarial loss: 0.949889, acc: 0.296875] 6878: [discriminator loss: 0.559700, acc: 0.648438] [adversarial loss: 1.408239, acc: 0.125000] 6879: [discriminator loss: 0.586765, acc: 0.703125] [adversarial loss: 0.889244, acc: 0.375000] 6880: [discriminator loss: 0.613044, acc: 0.671875] [adversarial loss: 1.191325, acc: 0.234375] 6881: [discriminator loss: 0.616700, acc: 0.671875] [adversarial loss: 1.229849, acc: 0.171875] 6882: [discriminator loss: 0.611793, acc: 0.687500] [adversarial loss: 0.934600, acc: 0.343750] 6883: [discriminator loss: 0.562107, acc: 0.718750] [adversarial loss: 1.206899, acc: 0.218750] 6884: [discriminator loss: 0.544895, acc: 0.703125] [adversarial loss: 1.095448, acc: 0.296875] 6885: [discriminator loss: 0.601584, acc: 0.671875] [adversarial loss: 1.173807, acc: 0.234375] 6886: [discriminator loss: 0.516228, acc: 0.726562] [adversarial loss: 1.101601, acc: 0.234375] 6887: [discriminator loss: 0.542272, acc: 0.734375] [adversarial loss: 1.072773, acc: 0.296875] 6888: [discriminator loss: 0.501195, acc: 0.765625] [adversarial loss: 1.161526, acc: 0.203125] 6889: [discriminator loss: 0.572067, acc: 0.695312] [adversarial loss: 1.442025, acc: 0.203125] 6890: [discriminator loss: 0.564587, acc: 0.687500] [adversarial loss: 1.019775, acc: 0.390625] 6891: [discriminator loss: 0.565789, acc: 0.695312] [adversarial loss: 1.579220, acc: 0.171875] 6892: [discriminator loss: 0.615411, acc: 0.648438] [adversarial loss: 0.832129, acc: 0.468750] 6893: [discriminator loss: 0.605056, acc: 0.656250] [adversarial loss: 1.394649, acc: 0.218750] 6894: [discriminator loss: 0.516263, acc: 0.734375] [adversarial loss: 1.180142, acc: 0.234375] 6895: [discriminator loss: 0.490854, acc: 0.773438] [adversarial loss: 1.280730, acc: 0.203125] 6896: [discriminator loss: 0.558677, acc: 0.718750] [adversarial loss: 0.867296, acc: 0.359375] 6897: [discriminator loss: 0.599825, acc: 0.718750] [adversarial loss: 1.124989, acc: 0.171875] 6898: [discriminator loss: 0.552392, acc: 0.710938] [adversarial loss: 0.932338, acc: 0.343750] 6899: [discriminator loss: 0.490293, acc: 0.757812] [adversarial loss: 1.312747, acc: 0.140625] 6900: [discriminator loss: 0.584331, acc: 0.656250] [adversarial loss: 1.067492, acc: 0.265625] 6901: [discriminator loss: 0.591189, acc: 0.742188] [adversarial loss: 1.393818, acc: 0.156250] 6902: [discriminator loss: 0.537936, acc: 0.695312] [adversarial loss: 0.898729, acc: 0.375000] 6903: [discriminator loss: 0.565665, acc: 0.726562] [adversarial loss: 1.454104, acc: 0.078125] 6904: [discriminator loss: 0.561977, acc: 0.671875] [adversarial loss: 0.920840, acc: 0.406250] 6905: [discriminator loss: 0.578903, acc: 0.710938] [adversarial loss: 1.443607, acc: 0.187500] 6906: [discriminator loss: 0.501411, acc: 0.804688] [adversarial loss: 1.011726, acc: 0.265625] 6907: [discriminator loss: 0.514616, acc: 0.750000] [adversarial loss: 1.344887, acc: 0.156250] 6908: [discriminator loss: 0.518711, acc: 0.742188] [adversarial loss: 1.145411, acc: 0.250000] 6909: [discriminator loss: 0.600092, acc: 0.656250] [adversarial loss: 1.158991, acc: 0.265625] 6910: [discriminator loss: 0.507193, acc: 0.750000] [adversarial loss: 1.072649, acc: 0.265625] 6911: [discriminator loss: 0.575418, acc: 0.710938] [adversarial loss: 1.134241, acc: 0.171875] 6912: [discriminator loss: 0.545704, acc: 0.718750] [adversarial loss: 0.821900, acc: 0.500000] 6913: [discriminator loss: 0.542170, acc: 0.773438] [adversarial loss: 1.382029, acc: 0.109375] 6914: [discriminator loss: 0.505304, acc: 0.742188] [adversarial loss: 1.001606, acc: 0.343750] 6915: [discriminator loss: 0.578128, acc: 0.695312] [adversarial loss: 1.499370, acc: 0.109375] 6916: [discriminator loss: 0.531481, acc: 0.742188] [adversarial loss: 0.995226, acc: 0.328125] 6917: [discriminator loss: 0.573316, acc: 0.710938] [adversarial loss: 1.516881, acc: 0.062500] 6918: [discriminator loss: 0.593562, acc: 0.687500] [adversarial loss: 0.952744, acc: 0.390625] 6919: [discriminator loss: 0.530607, acc: 0.734375] [adversarial loss: 1.357084, acc: 0.156250] 6920: [discriminator loss: 0.539259, acc: 0.687500] [adversarial loss: 0.989449, acc: 0.359375] 6921: [discriminator loss: 0.566695, acc: 0.718750] [adversarial loss: 1.394613, acc: 0.125000] 6922: [discriminator loss: 0.449468, acc: 0.828125] [adversarial loss: 1.406531, acc: 0.171875] 6923: [discriminator loss: 0.609927, acc: 0.648438] [adversarial loss: 1.025378, acc: 0.312500] 6924: [discriminator loss: 0.606819, acc: 0.687500] [adversarial loss: 1.410799, acc: 0.171875] 6925: [discriminator loss: 0.613625, acc: 0.664062] [adversarial loss: 0.980408, acc: 0.406250] 6926: [discriminator loss: 0.551692, acc: 0.718750] [adversarial loss: 1.278847, acc: 0.140625] 6927: [discriminator loss: 0.597222, acc: 0.679688] [adversarial loss: 0.865500, acc: 0.390625] 6928: [discriminator loss: 0.588643, acc: 0.726562] [adversarial loss: 1.087866, acc: 0.250000] 6929: [discriminator loss: 0.524602, acc: 0.765625] [adversarial loss: 0.964436, acc: 0.312500] 6930: [discriminator loss: 0.493923, acc: 0.773438] [adversarial loss: 1.070354, acc: 0.312500] 6931: [discriminator loss: 0.557518, acc: 0.695312] [adversarial loss: 1.003237, acc: 0.281250] 6932: [discriminator loss: 0.524523, acc: 0.734375] [adversarial loss: 1.452391, acc: 0.109375] 6933: [discriminator loss: 0.517963, acc: 0.726562] [adversarial loss: 0.885376, acc: 0.421875] 6934: [discriminator loss: 0.526398, acc: 0.742188] [adversarial loss: 1.247298, acc: 0.171875] 6935: [discriminator loss: 0.564949, acc: 0.687500] [adversarial loss: 1.013474, acc: 0.281250] 6936: [discriminator loss: 0.637297, acc: 0.656250] [adversarial loss: 1.210949, acc: 0.234375] 6937: [discriminator loss: 0.619497, acc: 0.664062] [adversarial loss: 1.071841, acc: 0.312500] 6938: [discriminator loss: 0.527474, acc: 0.750000] [adversarial loss: 1.328303, acc: 0.125000] 6939: [discriminator loss: 0.526123, acc: 0.734375] [adversarial loss: 0.747057, acc: 0.546875] 6940: [discriminator loss: 0.577294, acc: 0.679688] [adversarial loss: 1.464671, acc: 0.171875] 6941: [discriminator loss: 0.605546, acc: 0.664062] [adversarial loss: 0.809529, acc: 0.437500] 6942: [discriminator loss: 0.554795, acc: 0.765625] [adversarial loss: 1.328205, acc: 0.140625] 6943: [discriminator loss: 0.569946, acc: 0.695312] [adversarial loss: 0.952410, acc: 0.296875] 6944: [discriminator loss: 0.525611, acc: 0.695312] [adversarial loss: 1.445090, acc: 0.140625] 6945: [discriminator loss: 0.506511, acc: 0.750000] [adversarial loss: 1.029185, acc: 0.265625] 6946: [discriminator loss: 0.576184, acc: 0.679688] [adversarial loss: 1.080618, acc: 0.281250] 6947: [discriminator loss: 0.558588, acc: 0.664062] [adversarial loss: 0.933977, acc: 0.453125] 6948: [discriminator loss: 0.612930, acc: 0.648438] [adversarial loss: 1.168987, acc: 0.265625] 6949: [discriminator loss: 0.490836, acc: 0.781250] [adversarial loss: 1.100861, acc: 0.250000] 6950: [discriminator loss: 0.623379, acc: 0.664062] [adversarial loss: 0.912250, acc: 0.421875] 6951: [discriminator loss: 0.607075, acc: 0.687500] [adversarial loss: 1.235949, acc: 0.265625] 6952: [discriminator loss: 0.574021, acc: 0.671875] [adversarial loss: 0.925907, acc: 0.328125] 6953: [discriminator loss: 0.617833, acc: 0.640625] [adversarial loss: 1.359579, acc: 0.171875] 6954: [discriminator loss: 0.561933, acc: 0.710938] [adversarial loss: 0.784206, acc: 0.500000] 6955: [discriminator loss: 0.579730, acc: 0.718750] [adversarial loss: 1.264801, acc: 0.156250] 6956: [discriminator loss: 0.498452, acc: 0.765625] [adversarial loss: 0.951444, acc: 0.375000] 6957: [discriminator loss: 0.591864, acc: 0.671875] [adversarial loss: 1.155182, acc: 0.203125] 6958: [discriminator loss: 0.559734, acc: 0.710938] [adversarial loss: 1.265305, acc: 0.234375] 6959: [discriminator loss: 0.548250, acc: 0.695312] [adversarial loss: 1.041231, acc: 0.281250] 6960: [discriminator loss: 0.599274, acc: 0.664062] [adversarial loss: 1.531963, acc: 0.140625] 6961: [discriminator loss: 0.686901, acc: 0.601562] [adversarial loss: 0.794615, acc: 0.578125] 6962: [discriminator loss: 0.504200, acc: 0.765625] [adversarial loss: 1.377129, acc: 0.093750] 6963: [discriminator loss: 0.546185, acc: 0.710938] [adversarial loss: 1.032574, acc: 0.265625] 6964: [discriminator loss: 0.490294, acc: 0.773438] [adversarial loss: 1.334743, acc: 0.234375] 6965: [discriminator loss: 0.602677, acc: 0.671875] [adversarial loss: 0.967993, acc: 0.328125] 6966: [discriminator loss: 0.590892, acc: 0.656250] [adversarial loss: 1.187483, acc: 0.156250] 6967: [discriminator loss: 0.556421, acc: 0.703125] [adversarial loss: 0.943193, acc: 0.328125] 6968: [discriminator loss: 0.513024, acc: 0.726562] [adversarial loss: 1.342466, acc: 0.140625] 6969: [discriminator loss: 0.521975, acc: 0.695312] [adversarial loss: 1.280968, acc: 0.250000] 6970: [discriminator loss: 0.577399, acc: 0.726562] [adversarial loss: 1.087297, acc: 0.234375] 6971: [discriminator loss: 0.563143, acc: 0.703125] [adversarial loss: 1.365486, acc: 0.171875] 6972: [discriminator loss: 0.477104, acc: 0.773438] [adversarial loss: 1.232190, acc: 0.187500] 6973: [discriminator loss: 0.503147, acc: 0.703125] [adversarial loss: 1.362322, acc: 0.203125] 6974: [discriminator loss: 0.510654, acc: 0.742188] [adversarial loss: 0.984766, acc: 0.312500] 6975: [discriminator loss: 0.638303, acc: 0.679688] [adversarial loss: 1.532687, acc: 0.046875] 6976: [discriminator loss: 0.602002, acc: 0.679688] [adversarial loss: 0.859936, acc: 0.453125] 6977: [discriminator loss: 0.564450, acc: 0.742188] [adversarial loss: 1.429802, acc: 0.203125] 6978: [discriminator loss: 0.557786, acc: 0.773438] [adversarial loss: 0.936757, acc: 0.343750] 6979: [discriminator loss: 0.584460, acc: 0.718750] [adversarial loss: 1.315828, acc: 0.187500] 6980: [discriminator loss: 0.557031, acc: 0.695312] [adversarial loss: 1.047199, acc: 0.328125] 6981: [discriminator loss: 0.671502, acc: 0.601562] [adversarial loss: 1.453303, acc: 0.109375] 6982: [discriminator loss: 0.583268, acc: 0.687500] [adversarial loss: 0.974642, acc: 0.328125] 6983: [discriminator loss: 0.559166, acc: 0.664062] [adversarial loss: 1.475430, acc: 0.140625] 6984: [discriminator loss: 0.553216, acc: 0.726562] [adversarial loss: 1.063555, acc: 0.265625] 6985: [discriminator loss: 0.636905, acc: 0.656250] [adversarial loss: 1.266237, acc: 0.156250] 6986: [discriminator loss: 0.613878, acc: 0.671875] [adversarial loss: 0.974979, acc: 0.218750] 6987: [discriminator loss: 0.540423, acc: 0.679688] [adversarial loss: 1.058818, acc: 0.265625] 6988: [discriminator loss: 0.522482, acc: 0.734375] [adversarial loss: 0.983009, acc: 0.281250] 6989: [discriminator loss: 0.521082, acc: 0.812500] [adversarial loss: 1.344880, acc: 0.171875] 6990: [discriminator loss: 0.536667, acc: 0.734375] [adversarial loss: 1.083707, acc: 0.265625] 6991: [discriminator loss: 0.515595, acc: 0.687500] [adversarial loss: 1.206694, acc: 0.281250] 6992: [discriminator loss: 0.547108, acc: 0.703125] [adversarial loss: 0.961046, acc: 0.359375] 6993: [discriminator loss: 0.607320, acc: 0.656250] [adversarial loss: 1.074951, acc: 0.265625] 6994: [discriminator loss: 0.566137, acc: 0.718750] [adversarial loss: 1.144630, acc: 0.234375] 6995: [discriminator loss: 0.538565, acc: 0.726562] [adversarial loss: 1.055931, acc: 0.281250] 6996: [discriminator loss: 0.609503, acc: 0.679688] [adversarial loss: 1.241142, acc: 0.156250] 6997: [discriminator loss: 0.625791, acc: 0.648438] [adversarial loss: 0.941798, acc: 0.390625] 6998: [discriminator loss: 0.566579, acc: 0.710938] [adversarial loss: 1.407090, acc: 0.109375] 6999: [discriminator loss: 0.598227, acc: 0.640625] [adversarial loss: 1.132194, acc: 0.281250] 7000: [discriminator loss: 0.531282, acc: 0.718750] [adversarial loss: 1.379556, acc: 0.203125] 7001: [discriminator loss: 0.548208, acc: 0.687500] [adversarial loss: 1.284666, acc: 0.234375] 7002: [discriminator loss: 0.538354, acc: 0.765625] [adversarial loss: 0.869737, acc: 0.421875] 7003: [discriminator loss: 0.513945, acc: 0.710938] [adversarial loss: 1.406411, acc: 0.140625] 7004: [discriminator loss: 0.571371, acc: 0.656250] [adversarial loss: 1.081415, acc: 0.296875] 7005: [discriminator loss: 0.546948, acc: 0.695312] [adversarial loss: 1.214631, acc: 0.218750] 7006: [discriminator loss: 0.630220, acc: 0.640625] [adversarial loss: 1.381514, acc: 0.093750] 7007: [discriminator loss: 0.541849, acc: 0.710938] [adversarial loss: 0.934546, acc: 0.421875] 7008: [discriminator loss: 0.596582, acc: 0.664062] [adversarial loss: 1.633940, acc: 0.062500] 7009: [discriminator loss: 0.535586, acc: 0.726562] [adversarial loss: 0.910440, acc: 0.406250] 7010: [discriminator loss: 0.560304, acc: 0.773438] [adversarial loss: 1.370833, acc: 0.093750] 7011: [discriminator loss: 0.609534, acc: 0.648438] [adversarial loss: 0.947394, acc: 0.359375] 7012: [discriminator loss: 0.481508, acc: 0.789062] [adversarial loss: 1.184976, acc: 0.265625] 7013: [discriminator loss: 0.537907, acc: 0.750000] [adversarial loss: 1.202155, acc: 0.265625] 7014: [discriminator loss: 0.516868, acc: 0.765625] [adversarial loss: 1.074633, acc: 0.296875] 7015: [discriminator loss: 0.537981, acc: 0.687500] [adversarial loss: 1.147762, acc: 0.171875] 7016: [discriminator loss: 0.648358, acc: 0.625000] [adversarial loss: 1.379238, acc: 0.156250] 7017: [discriminator loss: 0.527953, acc: 0.734375] [adversarial loss: 1.221933, acc: 0.156250] 7018: [discriminator loss: 0.539487, acc: 0.710938] [adversarial loss: 1.011839, acc: 0.328125] 7019: [discriminator loss: 0.563817, acc: 0.703125] [adversarial loss: 1.461655, acc: 0.171875] 7020: [discriminator loss: 0.582427, acc: 0.718750] [adversarial loss: 0.945923, acc: 0.390625] 7021: [discriminator loss: 0.559861, acc: 0.679688] [adversarial loss: 1.444158, acc: 0.078125] 7022: [discriminator loss: 0.564467, acc: 0.671875] [adversarial loss: 0.875222, acc: 0.421875] 7023: [discriminator loss: 0.602300, acc: 0.710938] [adversarial loss: 1.312880, acc: 0.171875] 7024: [discriminator loss: 0.577485, acc: 0.656250] [adversarial loss: 0.930742, acc: 0.328125] 7025: [discriminator loss: 0.567047, acc: 0.703125] [adversarial loss: 1.185035, acc: 0.187500] 7026: [discriminator loss: 0.545434, acc: 0.703125] [adversarial loss: 1.033108, acc: 0.265625] 7027: [discriminator loss: 0.544837, acc: 0.718750] [adversarial loss: 1.081253, acc: 0.234375] 7028: [discriminator loss: 0.519752, acc: 0.750000] [adversarial loss: 1.140683, acc: 0.312500] 7029: [discriminator loss: 0.505356, acc: 0.765625] [adversarial loss: 0.907345, acc: 0.406250] 7030: [discriminator loss: 0.537324, acc: 0.757812] [adversarial loss: 1.220656, acc: 0.250000] 7031: [discriminator loss: 0.520911, acc: 0.726562] [adversarial loss: 1.072373, acc: 0.328125] 7032: [discriminator loss: 0.565085, acc: 0.679688] [adversarial loss: 1.254604, acc: 0.203125] 7033: [discriminator loss: 0.589400, acc: 0.695312] [adversarial loss: 1.148965, acc: 0.234375] 7034: [discriminator loss: 0.502689, acc: 0.718750] [adversarial loss: 1.208788, acc: 0.171875] 7035: [discriminator loss: 0.508436, acc: 0.757812] [adversarial loss: 0.823999, acc: 0.468750] 7036: [discriminator loss: 0.606845, acc: 0.656250] [adversarial loss: 1.526294, acc: 0.125000] 7037: [discriminator loss: 0.618098, acc: 0.648438] [adversarial loss: 0.976183, acc: 0.328125] 7038: [discriminator loss: 0.580171, acc: 0.695312] [adversarial loss: 1.343644, acc: 0.203125] 7039: [discriminator loss: 0.555708, acc: 0.679688] [adversarial loss: 0.862050, acc: 0.453125] 7040: [discriminator loss: 0.527283, acc: 0.718750] [adversarial loss: 1.487359, acc: 0.125000] 7041: [discriminator loss: 0.519221, acc: 0.734375] [adversarial loss: 1.089436, acc: 0.250000] 7042: [discriminator loss: 0.580253, acc: 0.703125] [adversarial loss: 1.548735, acc: 0.078125] 7043: [discriminator loss: 0.587773, acc: 0.734375] [adversarial loss: 0.886694, acc: 0.375000] 7044: [discriminator loss: 0.502531, acc: 0.789062] [adversarial loss: 1.487616, acc: 0.093750] 7045: [discriminator loss: 0.573794, acc: 0.671875] [adversarial loss: 1.216174, acc: 0.250000] 7046: [discriminator loss: 0.443248, acc: 0.820312] [adversarial loss: 1.178732, acc: 0.203125] 7047: [discriminator loss: 0.616819, acc: 0.640625] [adversarial loss: 0.971554, acc: 0.359375] 7048: [discriminator loss: 0.607775, acc: 0.640625] [adversarial loss: 1.380540, acc: 0.093750] 7049: [discriminator loss: 0.550418, acc: 0.718750] [adversarial loss: 0.870202, acc: 0.515625] 7050: [discriminator loss: 0.513299, acc: 0.695312] [adversarial loss: 1.225478, acc: 0.218750] 7051: [discriminator loss: 0.486445, acc: 0.757812] [adversarial loss: 0.972208, acc: 0.359375] 7052: [discriminator loss: 0.558153, acc: 0.726562] [adversarial loss: 1.293545, acc: 0.203125] 7053: [discriminator loss: 0.591824, acc: 0.687500] [adversarial loss: 0.897781, acc: 0.390625] 7054: [discriminator loss: 0.551498, acc: 0.726562] [adversarial loss: 1.398162, acc: 0.140625] 7055: [discriminator loss: 0.513456, acc: 0.757812] [adversarial loss: 1.126688, acc: 0.296875] 7056: [discriminator loss: 0.535790, acc: 0.703125] [adversarial loss: 1.367202, acc: 0.203125] 7057: [discriminator loss: 0.542054, acc: 0.687500] [adversarial loss: 0.770737, acc: 0.453125] 7058: [discriminator loss: 0.529209, acc: 0.718750] [adversarial loss: 1.323556, acc: 0.156250] 7059: [discriminator loss: 0.570438, acc: 0.671875] [adversarial loss: 1.080523, acc: 0.296875] 7060: [discriminator loss: 0.499096, acc: 0.750000] [adversarial loss: 1.160553, acc: 0.187500] 7061: [discriminator loss: 0.541592, acc: 0.718750] [adversarial loss: 1.360519, acc: 0.140625] 7062: [discriminator loss: 0.558440, acc: 0.726562] [adversarial loss: 1.108121, acc: 0.375000] 7063: [discriminator loss: 0.516326, acc: 0.750000] [adversarial loss: 1.390718, acc: 0.171875] 7064: [discriminator loss: 0.458873, acc: 0.757812] [adversarial loss: 0.987831, acc: 0.359375] 7065: [discriminator loss: 0.529750, acc: 0.773438] [adversarial loss: 1.066717, acc: 0.343750] 7066: [discriminator loss: 0.642982, acc: 0.664062] [adversarial loss: 1.156088, acc: 0.312500] 7067: [discriminator loss: 0.529721, acc: 0.726562] [adversarial loss: 1.228752, acc: 0.250000] 7068: [discriminator loss: 0.494446, acc: 0.789062] [adversarial loss: 1.233503, acc: 0.218750] 7069: [discriminator loss: 0.519105, acc: 0.742188] [adversarial loss: 1.204604, acc: 0.281250] 7070: [discriminator loss: 0.533351, acc: 0.710938] [adversarial loss: 0.945703, acc: 0.437500] 7071: [discriminator loss: 0.519189, acc: 0.742188] [adversarial loss: 1.471730, acc: 0.093750] 7072: [discriminator loss: 0.528208, acc: 0.781250] [adversarial loss: 0.990691, acc: 0.390625] 7073: [discriminator loss: 0.590826, acc: 0.632812] [adversarial loss: 1.168218, acc: 0.203125] 7074: [discriminator loss: 0.587620, acc: 0.664062] [adversarial loss: 1.231242, acc: 0.218750] 7075: [discriminator loss: 0.550484, acc: 0.695312] [adversarial loss: 0.936089, acc: 0.343750] 7076: [discriminator loss: 0.526506, acc: 0.718750] [adversarial loss: 1.559524, acc: 0.078125] 7077: [discriminator loss: 0.457030, acc: 0.781250] [adversarial loss: 1.052990, acc: 0.265625] 7078: [discriminator loss: 0.533822, acc: 0.710938] [adversarial loss: 1.134454, acc: 0.203125] 7079: [discriminator loss: 0.575729, acc: 0.718750] [adversarial loss: 1.171117, acc: 0.250000] 7080: [discriminator loss: 0.544708, acc: 0.726562] [adversarial loss: 1.140701, acc: 0.265625] 7081: [discriminator loss: 0.566204, acc: 0.679688] [adversarial loss: 1.279921, acc: 0.203125] 7082: [discriminator loss: 0.602671, acc: 0.648438] [adversarial loss: 1.079578, acc: 0.343750] 7083: [discriminator loss: 0.612583, acc: 0.695312] [adversarial loss: 1.371535, acc: 0.125000] 7084: [discriminator loss: 0.596706, acc: 0.687500] [adversarial loss: 0.851282, acc: 0.484375] 7085: [discriminator loss: 0.601989, acc: 0.687500] [adversarial loss: 1.505508, acc: 0.125000] 7086: [discriminator loss: 0.613786, acc: 0.648438] [adversarial loss: 0.873516, acc: 0.390625] 7087: [discriminator loss: 0.593766, acc: 0.718750] [adversarial loss: 1.549877, acc: 0.125000] 7088: [discriminator loss: 0.488858, acc: 0.757812] [adversarial loss: 1.097542, acc: 0.203125] 7089: [discriminator loss: 0.526727, acc: 0.726562] [adversarial loss: 1.171067, acc: 0.250000] 7090: [discriminator loss: 0.507818, acc: 0.765625] [adversarial loss: 1.121306, acc: 0.218750] 7091: [discriminator loss: 0.493528, acc: 0.750000] [adversarial loss: 1.308659, acc: 0.171875] 7092: [discriminator loss: 0.574390, acc: 0.687500] [adversarial loss: 0.986389, acc: 0.265625] 7093: [discriminator loss: 0.612952, acc: 0.648438] [adversarial loss: 1.066626, acc: 0.312500] 7094: [discriminator loss: 0.489447, acc: 0.789062] [adversarial loss: 1.393625, acc: 0.171875] 7095: [discriminator loss: 0.503669, acc: 0.765625] [adversarial loss: 0.975251, acc: 0.281250] 7096: [discriminator loss: 0.571059, acc: 0.726562] [adversarial loss: 0.970427, acc: 0.328125] 7097: [discriminator loss: 0.534979, acc: 0.679688] [adversarial loss: 1.246182, acc: 0.234375] 7098: [discriminator loss: 0.548836, acc: 0.695312] [adversarial loss: 1.223996, acc: 0.234375] 7099: [discriminator loss: 0.572511, acc: 0.710938] [adversarial loss: 1.173278, acc: 0.312500] 7100: [discriminator loss: 0.513905, acc: 0.742188] [adversarial loss: 1.372879, acc: 0.218750] 7101: [discriminator loss: 0.574951, acc: 0.703125] [adversarial loss: 1.322769, acc: 0.140625] 7102: [discriminator loss: 0.527027, acc: 0.750000] [adversarial loss: 1.163308, acc: 0.234375] 7103: [discriminator loss: 0.573331, acc: 0.687500] [adversarial loss: 1.262414, acc: 0.156250] 7104: [discriminator loss: 0.580961, acc: 0.695312] [adversarial loss: 0.845486, acc: 0.390625] 7105: [discriminator loss: 0.599244, acc: 0.671875] [adversarial loss: 1.324297, acc: 0.187500] 7106: [discriminator loss: 0.617693, acc: 0.664062] [adversarial loss: 1.086604, acc: 0.296875] 7107: [discriminator loss: 0.591712, acc: 0.695312] [adversarial loss: 1.067607, acc: 0.328125] 7108: [discriminator loss: 0.531207, acc: 0.750000] [adversarial loss: 1.228380, acc: 0.187500] 7109: [discriminator loss: 0.540902, acc: 0.703125] [adversarial loss: 1.028981, acc: 0.281250] 7110: [discriminator loss: 0.509525, acc: 0.765625] [adversarial loss: 1.438431, acc: 0.093750] 7111: [discriminator loss: 0.501720, acc: 0.765625] [adversarial loss: 0.792176, acc: 0.453125] 7112: [discriminator loss: 0.596739, acc: 0.671875] [adversarial loss: 1.891649, acc: 0.046875] 7113: [discriminator loss: 0.638975, acc: 0.687500] [adversarial loss: 1.067752, acc: 0.234375] 7114: [discriminator loss: 0.573283, acc: 0.703125] [adversarial loss: 1.233041, acc: 0.218750] 7115: [discriminator loss: 0.539053, acc: 0.718750] [adversarial loss: 1.008945, acc: 0.234375] 7116: [discriminator loss: 0.574955, acc: 0.703125] [adversarial loss: 1.287268, acc: 0.218750] 7117: [discriminator loss: 0.567335, acc: 0.718750] [adversarial loss: 0.902498, acc: 0.421875] 7118: [discriminator loss: 0.622136, acc: 0.617188] [adversarial loss: 1.425747, acc: 0.093750] 7119: [discriminator loss: 0.620803, acc: 0.664062] [adversarial loss: 1.033350, acc: 0.281250] 7120: [discriminator loss: 0.525241, acc: 0.765625] [adversarial loss: 1.292389, acc: 0.156250] 7121: [discriminator loss: 0.606149, acc: 0.703125] [adversarial loss: 0.968694, acc: 0.328125] 7122: [discriminator loss: 0.587564, acc: 0.742188] [adversarial loss: 1.385279, acc: 0.156250] 7123: [discriminator loss: 0.551954, acc: 0.671875] [adversarial loss: 1.004697, acc: 0.265625] 7124: [discriminator loss: 0.527667, acc: 0.734375] [adversarial loss: 1.118415, acc: 0.312500] 7125: [discriminator loss: 0.475544, acc: 0.742188] [adversarial loss: 1.170046, acc: 0.328125] 7126: [discriminator loss: 0.581106, acc: 0.671875] [adversarial loss: 1.153002, acc: 0.328125] 7127: [discriminator loss: 0.509870, acc: 0.750000] [adversarial loss: 1.094415, acc: 0.312500] 7128: [discriminator loss: 0.625078, acc: 0.656250] [adversarial loss: 1.247927, acc: 0.250000] 7129: [discriminator loss: 0.594417, acc: 0.718750] [adversarial loss: 1.201989, acc: 0.203125] 7130: [discriminator loss: 0.583310, acc: 0.718750] [adversarial loss: 0.938944, acc: 0.375000] 7131: [discriminator loss: 0.544877, acc: 0.648438] [adversarial loss: 1.220043, acc: 0.234375] 7132: [discriminator loss: 0.482706, acc: 0.812500] [adversarial loss: 1.127841, acc: 0.296875] 7133: [discriminator loss: 0.495255, acc: 0.804688] [adversarial loss: 1.289878, acc: 0.281250] 7134: [discriminator loss: 0.570319, acc: 0.664062] [adversarial loss: 1.138116, acc: 0.218750] 7135: [discriminator loss: 0.571510, acc: 0.648438] [adversarial loss: 1.308006, acc: 0.234375] 7136: [discriminator loss: 0.507017, acc: 0.742188] [adversarial loss: 0.951407, acc: 0.406250] 7137: [discriminator loss: 0.534496, acc: 0.750000] [adversarial loss: 1.400806, acc: 0.093750] 7138: [discriminator loss: 0.623224, acc: 0.656250] [adversarial loss: 1.095813, acc: 0.312500] 7139: [discriminator loss: 0.607964, acc: 0.679688] [adversarial loss: 1.388594, acc: 0.140625] 7140: [discriminator loss: 0.634609, acc: 0.640625] [adversarial loss: 1.112743, acc: 0.296875] 7141: [discriminator loss: 0.595354, acc: 0.648438] [adversarial loss: 1.527868, acc: 0.125000] 7142: [discriminator loss: 0.566783, acc: 0.718750] [adversarial loss: 0.853373, acc: 0.453125] 7143: [discriminator loss: 0.568549, acc: 0.679688] [adversarial loss: 1.485496, acc: 0.046875] 7144: [discriminator loss: 0.571020, acc: 0.671875] [adversarial loss: 0.802254, acc: 0.453125] 7145: [discriminator loss: 0.610174, acc: 0.679688] [adversarial loss: 1.809188, acc: 0.093750] 7146: [discriminator loss: 0.593952, acc: 0.664062] [adversarial loss: 0.939201, acc: 0.312500] 7147: [discriminator loss: 0.615079, acc: 0.703125] [adversarial loss: 1.157988, acc: 0.187500] 7148: [discriminator loss: 0.606627, acc: 0.703125] [adversarial loss: 1.046330, acc: 0.375000] 7149: [discriminator loss: 0.545567, acc: 0.750000] [adversarial loss: 1.162951, acc: 0.281250] 7150: [discriminator loss: 0.542642, acc: 0.742188] [adversarial loss: 1.081928, acc: 0.187500] 7151: [discriminator loss: 0.569759, acc: 0.671875] [adversarial loss: 1.208973, acc: 0.234375] 7152: [discriminator loss: 0.629117, acc: 0.640625] [adversarial loss: 0.908406, acc: 0.359375] 7153: [discriminator loss: 0.488891, acc: 0.773438] [adversarial loss: 1.270734, acc: 0.125000] 7154: [discriminator loss: 0.511023, acc: 0.750000] [adversarial loss: 0.909556, acc: 0.390625] 7155: [discriminator loss: 0.529706, acc: 0.703125] [adversarial loss: 1.603383, acc: 0.109375] 7156: [discriminator loss: 0.548943, acc: 0.695312] [adversarial loss: 1.058475, acc: 0.281250] 7157: [discriminator loss: 0.618098, acc: 0.687500] [adversarial loss: 1.492872, acc: 0.125000] 7158: [discriminator loss: 0.561789, acc: 0.726562] [adversarial loss: 0.834848, acc: 0.468750] 7159: [discriminator loss: 0.551999, acc: 0.757812] [adversarial loss: 1.351098, acc: 0.062500] 7160: [discriminator loss: 0.490424, acc: 0.750000] [adversarial loss: 1.168113, acc: 0.203125] 7161: [discriminator loss: 0.511796, acc: 0.765625] [adversarial loss: 1.183741, acc: 0.234375] 7162: [discriminator loss: 0.563408, acc: 0.687500] [adversarial loss: 1.042453, acc: 0.281250] 7163: [discriminator loss: 0.552146, acc: 0.726562] [adversarial loss: 1.175145, acc: 0.312500] 7164: [discriminator loss: 0.541647, acc: 0.750000] [adversarial loss: 1.438387, acc: 0.156250] 7165: [discriminator loss: 0.561116, acc: 0.710938] [adversarial loss: 0.911186, acc: 0.343750] 7166: [discriminator loss: 0.606591, acc: 0.664062] [adversarial loss: 1.540172, acc: 0.093750] 7167: [discriminator loss: 0.546651, acc: 0.750000] [adversarial loss: 1.004349, acc: 0.343750] 7168: [discriminator loss: 0.514183, acc: 0.804688] [adversarial loss: 1.422077, acc: 0.156250] 7169: [discriminator loss: 0.517966, acc: 0.750000] [adversarial loss: 0.920719, acc: 0.406250] 7170: [discriminator loss: 0.612803, acc: 0.656250] [adversarial loss: 1.529557, acc: 0.109375] 7171: [discriminator loss: 0.561278, acc: 0.703125] [adversarial loss: 0.986885, acc: 0.359375] 7172: [discriminator loss: 0.518787, acc: 0.765625] [adversarial loss: 1.143374, acc: 0.281250] 7173: [discriminator loss: 0.534653, acc: 0.750000] [adversarial loss: 0.978719, acc: 0.312500] 7174: [discriminator loss: 0.549719, acc: 0.671875] [adversarial loss: 1.380328, acc: 0.125000] 7175: [discriminator loss: 0.594929, acc: 0.695312] [adversarial loss: 0.927150, acc: 0.359375] 7176: [discriminator loss: 0.568340, acc: 0.710938] [adversarial loss: 1.476703, acc: 0.218750] 7177: [discriminator loss: 0.582416, acc: 0.671875] [adversarial loss: 1.012819, acc: 0.281250] 7178: [discriminator loss: 0.584704, acc: 0.710938] [adversarial loss: 1.222386, acc: 0.171875] 7179: [discriminator loss: 0.563479, acc: 0.687500] [adversarial loss: 1.091684, acc: 0.234375] 7180: [discriminator loss: 0.512788, acc: 0.757812] [adversarial loss: 1.123406, acc: 0.281250] 7181: [discriminator loss: 0.551487, acc: 0.750000] [adversarial loss: 1.218226, acc: 0.140625] 7182: [discriminator loss: 0.556562, acc: 0.687500] [adversarial loss: 0.984801, acc: 0.390625] 7183: [discriminator loss: 0.610381, acc: 0.671875] [adversarial loss: 1.012077, acc: 0.312500] 7184: [discriminator loss: 0.598998, acc: 0.671875] [adversarial loss: 1.151322, acc: 0.203125] 7185: [discriminator loss: 0.649151, acc: 0.632812] [adversarial loss: 1.173563, acc: 0.203125] 7186: [discriminator loss: 0.532506, acc: 0.695312] [adversarial loss: 0.989236, acc: 0.281250] 7187: [discriminator loss: 0.519783, acc: 0.703125] [adversarial loss: 1.298475, acc: 0.125000] 7188: [discriminator loss: 0.582877, acc: 0.664062] [adversarial loss: 1.112003, acc: 0.250000] 7189: [discriminator loss: 0.585372, acc: 0.718750] [adversarial loss: 1.286808, acc: 0.187500] 7190: [discriminator loss: 0.596213, acc: 0.718750] [adversarial loss: 1.315359, acc: 0.078125] 7191: [discriminator loss: 0.515028, acc: 0.726562] [adversarial loss: 1.082814, acc: 0.234375] 7192: [discriminator loss: 0.567259, acc: 0.750000] [adversarial loss: 1.196858, acc: 0.171875] 7193: [discriminator loss: 0.629343, acc: 0.632812] [adversarial loss: 0.887778, acc: 0.468750] 7194: [discriminator loss: 0.562191, acc: 0.695312] [adversarial loss: 1.209580, acc: 0.250000] 7195: [discriminator loss: 0.593502, acc: 0.640625] [adversarial loss: 0.895944, acc: 0.406250] 7196: [discriminator loss: 0.530931, acc: 0.734375] [adversarial loss: 1.482204, acc: 0.140625] 7197: [discriminator loss: 0.557508, acc: 0.718750] [adversarial loss: 0.889978, acc: 0.453125] 7198: [discriminator loss: 0.631143, acc: 0.593750] [adversarial loss: 1.245264, acc: 0.140625] 7199: [discriminator loss: 0.588870, acc: 0.679688] [adversarial loss: 0.978295, acc: 0.296875] 7200: [discriminator loss: 0.603060, acc: 0.734375] [adversarial loss: 1.250302, acc: 0.218750] 7201: [discriminator loss: 0.525802, acc: 0.710938] [adversarial loss: 0.874336, acc: 0.390625] 7202: [discriminator loss: 0.541162, acc: 0.695312] [adversarial loss: 1.552363, acc: 0.078125] 7203: [discriminator loss: 0.664263, acc: 0.625000] [adversarial loss: 0.921856, acc: 0.406250] 7204: [discriminator loss: 0.479847, acc: 0.781250] [adversarial loss: 1.425213, acc: 0.140625] 7205: [discriminator loss: 0.560201, acc: 0.703125] [adversarial loss: 0.944923, acc: 0.359375] 7206: [discriminator loss: 0.514901, acc: 0.726562] [adversarial loss: 1.146683, acc: 0.281250] 7207: [discriminator loss: 0.603090, acc: 0.734375] [adversarial loss: 1.134399, acc: 0.140625] 7208: [discriminator loss: 0.522051, acc: 0.742188] [adversarial loss: 1.023103, acc: 0.312500] 7209: [discriminator loss: 0.516241, acc: 0.718750] [adversarial loss: 1.442674, acc: 0.078125] 7210: [discriminator loss: 0.512454, acc: 0.726562] [adversarial loss: 1.052855, acc: 0.375000] 7211: [discriminator loss: 0.564442, acc: 0.679688] [adversarial loss: 1.333081, acc: 0.125000] 7212: [discriminator loss: 0.564029, acc: 0.718750] [adversarial loss: 0.893336, acc: 0.437500] 7213: [discriminator loss: 0.534666, acc: 0.726562] [adversarial loss: 1.247669, acc: 0.203125] 7214: [discriminator loss: 0.574280, acc: 0.687500] [adversarial loss: 0.898750, acc: 0.343750] 7215: [discriminator loss: 0.530961, acc: 0.734375] [adversarial loss: 1.311241, acc: 0.187500] 7216: [discriminator loss: 0.573561, acc: 0.656250] [adversarial loss: 0.891796, acc: 0.359375] 7217: [discriminator loss: 0.548962, acc: 0.679688] [adversarial loss: 1.258784, acc: 0.156250] 7218: [discriminator loss: 0.569624, acc: 0.695312] [adversarial loss: 0.911667, acc: 0.343750] 7219: [discriminator loss: 0.554363, acc: 0.726562] [adversarial loss: 1.175516, acc: 0.234375] 7220: [discriminator loss: 0.517199, acc: 0.757812] [adversarial loss: 1.008414, acc: 0.296875] 7221: [discriminator loss: 0.589928, acc: 0.703125] [adversarial loss: 1.239483, acc: 0.187500] 7222: [discriminator loss: 0.584588, acc: 0.679688] [adversarial loss: 0.960001, acc: 0.375000] 7223: [discriminator loss: 0.545654, acc: 0.726562] [adversarial loss: 1.233805, acc: 0.140625] 7224: [discriminator loss: 0.593146, acc: 0.679688] [adversarial loss: 0.946833, acc: 0.328125] 7225: [discriminator loss: 0.581140, acc: 0.687500] [adversarial loss: 1.525385, acc: 0.062500] 7226: [discriminator loss: 0.653211, acc: 0.664062] [adversarial loss: 0.768233, acc: 0.468750] 7227: [discriminator loss: 0.532266, acc: 0.789062] [adversarial loss: 1.650292, acc: 0.046875] 7228: [discriminator loss: 0.516476, acc: 0.726562] [adversarial loss: 0.907376, acc: 0.406250] 7229: [discriminator loss: 0.585082, acc: 0.703125] [adversarial loss: 1.236091, acc: 0.218750] 7230: [discriminator loss: 0.573962, acc: 0.632812] [adversarial loss: 1.096696, acc: 0.218750] 7231: [discriminator loss: 0.567014, acc: 0.687500] [adversarial loss: 1.216847, acc: 0.250000] 7232: [discriminator loss: 0.611385, acc: 0.609375] [adversarial loss: 1.137461, acc: 0.265625] 7233: [discriminator loss: 0.538144, acc: 0.750000] [adversarial loss: 1.317638, acc: 0.093750] 7234: [discriminator loss: 0.571217, acc: 0.742188] [adversarial loss: 0.881618, acc: 0.437500] 7235: [discriminator loss: 0.494005, acc: 0.765625] [adversarial loss: 1.366869, acc: 0.109375] 7236: [discriminator loss: 0.570448, acc: 0.710938] [adversarial loss: 1.074300, acc: 0.265625] 7237: [discriminator loss: 0.526240, acc: 0.742188] [adversarial loss: 1.431861, acc: 0.125000] 7238: [discriminator loss: 0.547903, acc: 0.671875] [adversarial loss: 0.974218, acc: 0.265625] 7239: [discriminator loss: 0.559571, acc: 0.710938] [adversarial loss: 1.112831, acc: 0.265625] 7240: [discriminator loss: 0.523075, acc: 0.726562] [adversarial loss: 1.155446, acc: 0.250000] 7241: [discriminator loss: 0.503119, acc: 0.718750] [adversarial loss: 1.500745, acc: 0.140625] 7242: [discriminator loss: 0.477627, acc: 0.757812] [adversarial loss: 0.979556, acc: 0.312500] 7243: [discriminator loss: 0.515540, acc: 0.750000] [adversarial loss: 1.510282, acc: 0.109375] 7244: [discriminator loss: 0.606325, acc: 0.664062] [adversarial loss: 0.849967, acc: 0.468750] 7245: [discriminator loss: 0.517392, acc: 0.703125] [adversarial loss: 1.712517, acc: 0.093750] 7246: [discriminator loss: 0.579322, acc: 0.687500] [adversarial loss: 1.046448, acc: 0.281250] 7247: [discriminator loss: 0.543326, acc: 0.718750] [adversarial loss: 1.140929, acc: 0.281250] 7248: [discriminator loss: 0.508253, acc: 0.734375] [adversarial loss: 1.207713, acc: 0.234375] 7249: [discriminator loss: 0.600361, acc: 0.664062] [adversarial loss: 1.126008, acc: 0.203125] 7250: [discriminator loss: 0.520723, acc: 0.710938] [adversarial loss: 1.080203, acc: 0.265625] 7251: [discriminator loss: 0.536402, acc: 0.734375] [adversarial loss: 1.290049, acc: 0.203125] 7252: [discriminator loss: 0.577459, acc: 0.679688] [adversarial loss: 1.023023, acc: 0.218750] 7253: [discriminator loss: 0.476447, acc: 0.773438] [adversarial loss: 1.421385, acc: 0.125000] 7254: [discriminator loss: 0.557748, acc: 0.687500] [adversarial loss: 0.986309, acc: 0.296875] 7255: [discriminator loss: 0.550236, acc: 0.726562] [adversarial loss: 1.324888, acc: 0.203125] 7256: [discriminator loss: 0.512153, acc: 0.765625] [adversarial loss: 1.227115, acc: 0.296875] 7257: [discriminator loss: 0.526977, acc: 0.773438] [adversarial loss: 1.116495, acc: 0.203125] 7258: [discriminator loss: 0.530999, acc: 0.710938] [adversarial loss: 1.174171, acc: 0.218750] 7259: [discriminator loss: 0.571706, acc: 0.710938] [adversarial loss: 1.078954, acc: 0.312500] 7260: [discriminator loss: 0.584485, acc: 0.703125] [adversarial loss: 1.164004, acc: 0.296875] 7261: [discriminator loss: 0.582170, acc: 0.695312] [adversarial loss: 0.919313, acc: 0.406250] 7262: [discriminator loss: 0.588723, acc: 0.687500] [adversarial loss: 1.215353, acc: 0.171875] 7263: [discriminator loss: 0.568902, acc: 0.687500] [adversarial loss: 1.406457, acc: 0.140625] 7264: [discriminator loss: 0.576432, acc: 0.656250] [adversarial loss: 0.747075, acc: 0.500000] 7265: [discriminator loss: 0.536859, acc: 0.726562] [adversarial loss: 1.520176, acc: 0.062500] 7266: [discriminator loss: 0.584597, acc: 0.664062] [adversarial loss: 0.873493, acc: 0.531250] 7267: [discriminator loss: 0.577675, acc: 0.726562] [adversarial loss: 1.171792, acc: 0.265625] 7268: [discriminator loss: 0.554982, acc: 0.750000] [adversarial loss: 0.944872, acc: 0.359375] 7269: [discriminator loss: 0.615570, acc: 0.664062] [adversarial loss: 1.544372, acc: 0.109375] 7270: [discriminator loss: 0.615363, acc: 0.640625] [adversarial loss: 0.785786, acc: 0.562500] 7271: [discriminator loss: 0.502907, acc: 0.742188] [adversarial loss: 1.267444, acc: 0.187500] 7272: [discriminator loss: 0.580419, acc: 0.726562] [adversarial loss: 1.017924, acc: 0.296875] 7273: [discriminator loss: 0.494607, acc: 0.734375] [adversarial loss: 1.399222, acc: 0.093750] 7274: [discriminator loss: 0.563484, acc: 0.695312] [adversarial loss: 1.042609, acc: 0.265625] 7275: [discriminator loss: 0.536286, acc: 0.718750] [adversarial loss: 1.358831, acc: 0.109375] 7276: [discriminator loss: 0.572633, acc: 0.679688] [adversarial loss: 0.962540, acc: 0.359375] 7277: [discriminator loss: 0.555575, acc: 0.726562] [adversarial loss: 1.302305, acc: 0.125000] 7278: [discriminator loss: 0.551996, acc: 0.718750] [adversarial loss: 1.220819, acc: 0.156250] 7279: [discriminator loss: 0.506409, acc: 0.796875] [adversarial loss: 1.022171, acc: 0.328125] 7280: [discriminator loss: 0.533930, acc: 0.718750] [adversarial loss: 1.308321, acc: 0.140625] 7281: [discriminator loss: 0.532593, acc: 0.726562] [adversarial loss: 1.094270, acc: 0.359375] 7282: [discriminator loss: 0.573373, acc: 0.695312] [adversarial loss: 1.034496, acc: 0.343750] 7283: [discriminator loss: 0.615107, acc: 0.617188] [adversarial loss: 1.139624, acc: 0.328125] 7284: [discriminator loss: 0.611456, acc: 0.640625] [adversarial loss: 1.378212, acc: 0.171875] 7285: [discriminator loss: 0.585402, acc: 0.671875] [adversarial loss: 1.024374, acc: 0.343750] 7286: [discriminator loss: 0.581557, acc: 0.648438] [adversarial loss: 1.207121, acc: 0.187500] 7287: [discriminator loss: 0.576818, acc: 0.671875] [adversarial loss: 1.394157, acc: 0.250000] 7288: [discriminator loss: 0.524802, acc: 0.734375] [adversarial loss: 1.128958, acc: 0.203125] 7289: [discriminator loss: 0.555227, acc: 0.718750] [adversarial loss: 1.498563, acc: 0.109375] 7290: [discriminator loss: 0.545808, acc: 0.695312] [adversarial loss: 1.045319, acc: 0.250000] 7291: [discriminator loss: 0.617746, acc: 0.726562] [adversarial loss: 1.325816, acc: 0.140625] 7292: [discriminator loss: 0.577804, acc: 0.695312] [adversarial loss: 0.832510, acc: 0.453125] 7293: [discriminator loss: 0.468221, acc: 0.773438] [adversarial loss: 1.199021, acc: 0.078125] 7294: [discriminator loss: 0.562153, acc: 0.742188] [adversarial loss: 0.932832, acc: 0.359375] 7295: [discriminator loss: 0.555609, acc: 0.750000] [adversarial loss: 1.244408, acc: 0.140625] 7296: [discriminator loss: 0.514254, acc: 0.765625] [adversarial loss: 1.349803, acc: 0.140625] 7297: [discriminator loss: 0.556455, acc: 0.703125] [adversarial loss: 1.081333, acc: 0.218750] 7298: [discriminator loss: 0.524352, acc: 0.710938] [adversarial loss: 0.958920, acc: 0.375000] 7299: [discriminator loss: 0.575961, acc: 0.710938] [adversarial loss: 1.460621, acc: 0.156250] 7300: [discriminator loss: 0.488373, acc: 0.742188] [adversarial loss: 1.080273, acc: 0.375000] 7301: [discriminator loss: 0.557594, acc: 0.687500] [adversarial loss: 1.263757, acc: 0.171875] 7302: [discriminator loss: 0.566026, acc: 0.671875] [adversarial loss: 1.033746, acc: 0.234375] 7303: [discriminator loss: 0.526374, acc: 0.695312] [adversarial loss: 1.362687, acc: 0.218750] 7304: [discriminator loss: 0.542830, acc: 0.671875] [adversarial loss: 0.880352, acc: 0.437500] 7305: [discriminator loss: 0.542883, acc: 0.726562] [adversarial loss: 1.503683, acc: 0.109375] 7306: [discriminator loss: 0.579443, acc: 0.679688] [adversarial loss: 0.713910, acc: 0.546875] 7307: [discriminator loss: 0.615212, acc: 0.687500] [adversarial loss: 1.453351, acc: 0.109375] 7308: [discriminator loss: 0.653166, acc: 0.632812] [adversarial loss: 0.820078, acc: 0.406250] 7309: [discriminator loss: 0.511111, acc: 0.773438] [adversarial loss: 1.431053, acc: 0.125000] 7310: [discriminator loss: 0.520304, acc: 0.710938] [adversarial loss: 1.053821, acc: 0.312500] 7311: [discriminator loss: 0.603573, acc: 0.703125] [adversarial loss: 1.192549, acc: 0.250000] 7312: [discriminator loss: 0.460976, acc: 0.765625] [adversarial loss: 1.049475, acc: 0.312500] 7313: [discriminator loss: 0.556794, acc: 0.742188] [adversarial loss: 1.406638, acc: 0.109375] 7314: [discriminator loss: 0.569104, acc: 0.695312] [adversarial loss: 0.842221, acc: 0.437500] 7315: [discriminator loss: 0.623004, acc: 0.656250] [adversarial loss: 1.412558, acc: 0.125000] 7316: [discriminator loss: 0.591649, acc: 0.695312] [adversarial loss: 0.870559, acc: 0.421875] 7317: [discriminator loss: 0.546330, acc: 0.710938] [adversarial loss: 1.421548, acc: 0.140625] 7318: [discriminator loss: 0.611428, acc: 0.695312] [adversarial loss: 1.142301, acc: 0.203125] 7319: [discriminator loss: 0.577918, acc: 0.734375] [adversarial loss: 1.164769, acc: 0.203125] 7320: [discriminator loss: 0.623945, acc: 0.632812] [adversarial loss: 1.061526, acc: 0.328125] 7321: [discriminator loss: 0.594516, acc: 0.695312] [adversarial loss: 1.166570, acc: 0.250000] 7322: [discriminator loss: 0.545446, acc: 0.703125] [adversarial loss: 1.326965, acc: 0.187500] 7323: [discriminator loss: 0.498869, acc: 0.742188] [adversarial loss: 0.740544, acc: 0.468750] 7324: [discriminator loss: 0.520607, acc: 0.773438] [adversarial loss: 1.610169, acc: 0.093750] 7325: [discriminator loss: 0.572701, acc: 0.687500] [adversarial loss: 0.856055, acc: 0.375000] 7326: [discriminator loss: 0.556307, acc: 0.726562] [adversarial loss: 1.299724, acc: 0.156250] 7327: [discriminator loss: 0.605025, acc: 0.703125] [adversarial loss: 1.155579, acc: 0.281250] 7328: [discriminator loss: 0.532794, acc: 0.703125] [adversarial loss: 1.256644, acc: 0.187500] 7329: [discriminator loss: 0.484483, acc: 0.750000] [adversarial loss: 1.178968, acc: 0.203125] 7330: [discriminator loss: 0.566221, acc: 0.687500] [adversarial loss: 1.057068, acc: 0.265625] 7331: [discriminator loss: 0.535657, acc: 0.757812] [adversarial loss: 1.218656, acc: 0.187500] 7332: [discriminator loss: 0.526318, acc: 0.773438] [adversarial loss: 1.300842, acc: 0.156250] 7333: [discriminator loss: 0.597074, acc: 0.671875] [adversarial loss: 1.240217, acc: 0.296875] 7334: [discriminator loss: 0.580619, acc: 0.687500] [adversarial loss: 0.717229, acc: 0.578125] 7335: [discriminator loss: 0.499076, acc: 0.726562] [adversarial loss: 1.535241, acc: 0.125000] 7336: [discriminator loss: 0.595506, acc: 0.703125] [adversarial loss: 0.713088, acc: 0.515625] 7337: [discriminator loss: 0.571179, acc: 0.671875] [adversarial loss: 1.376264, acc: 0.187500] 7338: [discriminator loss: 0.583874, acc: 0.664062] [adversarial loss: 0.985753, acc: 0.421875] 7339: [discriminator loss: 0.581097, acc: 0.703125] [adversarial loss: 1.335941, acc: 0.203125] 7340: [discriminator loss: 0.548084, acc: 0.695312] [adversarial loss: 1.025227, acc: 0.328125] 7341: [discriminator loss: 0.581828, acc: 0.664062] [adversarial loss: 1.384818, acc: 0.171875] 7342: [discriminator loss: 0.589307, acc: 0.671875] [adversarial loss: 0.985472, acc: 0.265625] 7343: [discriminator loss: 0.537332, acc: 0.726562] [adversarial loss: 1.292601, acc: 0.218750] 7344: [discriminator loss: 0.622947, acc: 0.656250] [adversarial loss: 0.869187, acc: 0.421875] 7345: [discriminator loss: 0.612984, acc: 0.695312] [adversarial loss: 1.356630, acc: 0.109375] 7346: [discriminator loss: 0.607031, acc: 0.617188] [adversarial loss: 0.744179, acc: 0.546875] 7347: [discriminator loss: 0.619933, acc: 0.648438] [adversarial loss: 1.625493, acc: 0.062500] 7348: [discriminator loss: 0.593523, acc: 0.648438] [adversarial loss: 0.833142, acc: 0.484375] 7349: [discriminator loss: 0.567422, acc: 0.687500] [adversarial loss: 1.422842, acc: 0.156250] 7350: [discriminator loss: 0.543453, acc: 0.718750] [adversarial loss: 0.966776, acc: 0.281250] 7351: [discriminator loss: 0.533310, acc: 0.742188] [adversarial loss: 1.159670, acc: 0.281250] 7352: [discriminator loss: 0.562374, acc: 0.695312] [adversarial loss: 1.041095, acc: 0.281250] 7353: [discriminator loss: 0.580951, acc: 0.679688] [adversarial loss: 1.066665, acc: 0.328125] 7354: [discriminator loss: 0.498321, acc: 0.789062] [adversarial loss: 1.040991, acc: 0.312500] 7355: [discriminator loss: 0.614935, acc: 0.625000] [adversarial loss: 1.166740, acc: 0.187500] 7356: [discriminator loss: 0.622956, acc: 0.648438] [adversarial loss: 0.946391, acc: 0.328125] 7357: [discriminator loss: 0.544730, acc: 0.734375] [adversarial loss: 1.482440, acc: 0.156250] 7358: [discriminator loss: 0.631033, acc: 0.679688] [adversarial loss: 1.179294, acc: 0.234375] 7359: [discriminator loss: 0.456740, acc: 0.835938] [adversarial loss: 1.143184, acc: 0.265625] 7360: [discriminator loss: 0.595782, acc: 0.703125] [adversarial loss: 0.886104, acc: 0.343750] 7361: [discriminator loss: 0.564233, acc: 0.703125] [adversarial loss: 1.242761, acc: 0.250000] 7362: [discriminator loss: 0.581788, acc: 0.703125] [adversarial loss: 0.989019, acc: 0.359375] 7363: [discriminator loss: 0.545995, acc: 0.695312] [adversarial loss: 1.129847, acc: 0.234375] 7364: [discriminator loss: 0.643549, acc: 0.656250] [adversarial loss: 1.072506, acc: 0.265625] 7365: [discriminator loss: 0.581115, acc: 0.687500] [adversarial loss: 1.261914, acc: 0.171875] 7366: [discriminator loss: 0.585007, acc: 0.664062] [adversarial loss: 0.947211, acc: 0.359375] 7367: [discriminator loss: 0.523183, acc: 0.726562] [adversarial loss: 1.164443, acc: 0.218750] 7368: [discriminator loss: 0.524491, acc: 0.757812] [adversarial loss: 1.234347, acc: 0.187500] 7369: [discriminator loss: 0.522856, acc: 0.757812] [adversarial loss: 1.012117, acc: 0.421875] 7370: [discriminator loss: 0.498740, acc: 0.804688] [adversarial loss: 1.230934, acc: 0.265625] 7371: [discriminator loss: 0.530080, acc: 0.757812] [adversarial loss: 1.290640, acc: 0.140625] 7372: [discriminator loss: 0.558514, acc: 0.695312] [adversarial loss: 0.973557, acc: 0.328125] 7373: [discriminator loss: 0.517012, acc: 0.742188] [adversarial loss: 1.292214, acc: 0.187500] 7374: [discriminator loss: 0.503083, acc: 0.773438] [adversarial loss: 1.088060, acc: 0.265625] 7375: [discriminator loss: 0.526826, acc: 0.695312] [adversarial loss: 1.229136, acc: 0.281250] 7376: [discriminator loss: 0.599218, acc: 0.703125] [adversarial loss: 1.491921, acc: 0.218750] 7377: [discriminator loss: 0.618931, acc: 0.625000] [adversarial loss: 0.890624, acc: 0.437500] 7378: [discriminator loss: 0.552802, acc: 0.710938] [adversarial loss: 1.509298, acc: 0.078125] 7379: [discriminator loss: 0.586817, acc: 0.703125] [adversarial loss: 0.897809, acc: 0.437500] 7380: [discriminator loss: 0.497021, acc: 0.750000] [adversarial loss: 1.407075, acc: 0.140625] 7381: [discriminator loss: 0.574101, acc: 0.648438] [adversarial loss: 0.860407, acc: 0.421875] 7382: [discriminator loss: 0.553639, acc: 0.703125] [adversarial loss: 1.561226, acc: 0.109375] 7383: [discriminator loss: 0.590702, acc: 0.687500] [adversarial loss: 0.909530, acc: 0.437500] 7384: [discriminator loss: 0.495321, acc: 0.757812] [adversarial loss: 1.442757, acc: 0.171875] 7385: [discriminator loss: 0.619217, acc: 0.703125] [adversarial loss: 1.117573, acc: 0.281250] 7386: [discriminator loss: 0.571830, acc: 0.718750] [adversarial loss: 1.297847, acc: 0.234375] 7387: [discriminator loss: 0.535504, acc: 0.695312] [adversarial loss: 1.108265, acc: 0.359375] 7388: [discriminator loss: 0.621016, acc: 0.679688] [adversarial loss: 1.233255, acc: 0.187500] 7389: [discriminator loss: 0.538815, acc: 0.695312] [adversarial loss: 1.178084, acc: 0.265625] 7390: [discriminator loss: 0.550695, acc: 0.742188] [adversarial loss: 1.049525, acc: 0.296875] 7391: [discriminator loss: 0.554612, acc: 0.734375] [adversarial loss: 1.325117, acc: 0.125000] 7392: [discriminator loss: 0.521042, acc: 0.773438] [adversarial loss: 1.060152, acc: 0.265625] 7393: [discriminator loss: 0.497608, acc: 0.726562] [adversarial loss: 1.678554, acc: 0.093750] 7394: [discriminator loss: 0.571984, acc: 0.710938] [adversarial loss: 0.987465, acc: 0.281250] 7395: [discriminator loss: 0.554710, acc: 0.679688] [adversarial loss: 1.401768, acc: 0.078125] 7396: [discriminator loss: 0.520510, acc: 0.773438] [adversarial loss: 0.923387, acc: 0.390625] 7397: [discriminator loss: 0.535717, acc: 0.726562] [adversarial loss: 1.069675, acc: 0.250000] 7398: [discriminator loss: 0.559083, acc: 0.710938] [adversarial loss: 1.202790, acc: 0.203125] 7399: [discriminator loss: 0.608522, acc: 0.687500] [adversarial loss: 1.166559, acc: 0.140625] 7400: [discriminator loss: 0.513862, acc: 0.703125] [adversarial loss: 0.874519, acc: 0.406250] 7401: [discriminator loss: 0.594876, acc: 0.695312] [adversarial loss: 1.115471, acc: 0.218750] 7402: [discriminator loss: 0.575349, acc: 0.679688] [adversarial loss: 1.210938, acc: 0.296875] 7403: [discriminator loss: 0.506145, acc: 0.742188] [adversarial loss: 1.079658, acc: 0.234375] 7404: [discriminator loss: 0.590159, acc: 0.679688] [adversarial loss: 1.328579, acc: 0.156250] 7405: [discriminator loss: 0.518335, acc: 0.750000] [adversarial loss: 0.837340, acc: 0.421875] 7406: [discriminator loss: 0.523362, acc: 0.710938] [adversarial loss: 1.198188, acc: 0.187500] 7407: [discriminator loss: 0.510772, acc: 0.742188] [adversarial loss: 1.056885, acc: 0.265625] 7408: [discriminator loss: 0.505139, acc: 0.750000] [adversarial loss: 1.146346, acc: 0.312500] 7409: [discriminator loss: 0.601583, acc: 0.695312] [adversarial loss: 1.095708, acc: 0.187500] 7410: [discriminator loss: 0.548795, acc: 0.679688] [adversarial loss: 0.933528, acc: 0.421875] 7411: [discriminator loss: 0.620653, acc: 0.664062] [adversarial loss: 1.078305, acc: 0.234375] 7412: [discriminator loss: 0.583655, acc: 0.703125] [adversarial loss: 1.180776, acc: 0.250000] 7413: [discriminator loss: 0.555157, acc: 0.703125] [adversarial loss: 1.596111, acc: 0.046875] 7414: [discriminator loss: 0.580343, acc: 0.710938] [adversarial loss: 0.828282, acc: 0.500000] 7415: [discriminator loss: 0.668748, acc: 0.632812] [adversarial loss: 1.549356, acc: 0.078125] 7416: [discriminator loss: 0.654908, acc: 0.609375] [adversarial loss: 0.748113, acc: 0.531250] 7417: [discriminator loss: 0.538420, acc: 0.703125] [adversarial loss: 1.181705, acc: 0.171875] 7418: [discriminator loss: 0.448945, acc: 0.851562] [adversarial loss: 1.221803, acc: 0.265625] 7419: [discriminator loss: 0.514990, acc: 0.773438] [adversarial loss: 0.998561, acc: 0.312500] 7420: [discriminator loss: 0.624370, acc: 0.687500] [adversarial loss: 1.222572, acc: 0.250000] 7421: [discriminator loss: 0.601410, acc: 0.679688] [adversarial loss: 1.170498, acc: 0.187500] 7422: [discriminator loss: 0.516455, acc: 0.757812] [adversarial loss: 0.998416, acc: 0.281250] 7423: [discriminator loss: 0.546076, acc: 0.687500] [adversarial loss: 1.118731, acc: 0.187500] 7424: [discriminator loss: 0.545114, acc: 0.710938] [adversarial loss: 0.851458, acc: 0.437500] 7425: [discriminator loss: 0.558778, acc: 0.687500] [adversarial loss: 1.310251, acc: 0.171875] 7426: [discriminator loss: 0.601300, acc: 0.656250] [adversarial loss: 0.803013, acc: 0.484375] 7427: [discriminator loss: 0.565188, acc: 0.750000] [adversarial loss: 1.116515, acc: 0.250000] 7428: [discriminator loss: 0.544923, acc: 0.718750] [adversarial loss: 1.138735, acc: 0.296875] 7429: [discriminator loss: 0.532166, acc: 0.750000] [adversarial loss: 1.103112, acc: 0.234375] 7430: [discriminator loss: 0.492614, acc: 0.804688] [adversarial loss: 1.084277, acc: 0.296875] 7431: [discriminator loss: 0.543456, acc: 0.703125] [adversarial loss: 0.996808, acc: 0.328125] 7432: [discriminator loss: 0.518152, acc: 0.734375] [adversarial loss: 1.295801, acc: 0.093750] 7433: [discriminator loss: 0.564926, acc: 0.664062] [adversarial loss: 1.061299, acc: 0.234375] 7434: [discriminator loss: 0.585684, acc: 0.671875] [adversarial loss: 1.602608, acc: 0.140625] 7435: [discriminator loss: 0.597665, acc: 0.656250] [adversarial loss: 0.820262, acc: 0.453125] 7436: [discriminator loss: 0.556996, acc: 0.718750] [adversarial loss: 1.393889, acc: 0.078125] 7437: [discriminator loss: 0.563239, acc: 0.703125] [adversarial loss: 0.961201, acc: 0.375000] 7438: [discriminator loss: 0.600762, acc: 0.695312] [adversarial loss: 1.405197, acc: 0.140625] 7439: [discriminator loss: 0.511292, acc: 0.710938] [adversarial loss: 1.114737, acc: 0.312500] 7440: [discriminator loss: 0.515195, acc: 0.750000] [adversarial loss: 1.375854, acc: 0.078125] 7441: [discriminator loss: 0.542882, acc: 0.718750] [adversarial loss: 1.098272, acc: 0.281250] 7442: [discriminator loss: 0.555529, acc: 0.718750] [adversarial loss: 0.999755, acc: 0.437500] 7443: [discriminator loss: 0.576963, acc: 0.726562] [adversarial loss: 1.346710, acc: 0.187500] 7444: [discriminator loss: 0.578700, acc: 0.671875] [adversarial loss: 0.926661, acc: 0.359375] 7445: [discriminator loss: 0.607805, acc: 0.679688] [adversarial loss: 1.439070, acc: 0.109375] 7446: [discriminator loss: 0.646874, acc: 0.625000] [adversarial loss: 1.001170, acc: 0.328125] 7447: [discriminator loss: 0.555799, acc: 0.726562] [adversarial loss: 1.400677, acc: 0.062500] 7448: [discriminator loss: 0.554740, acc: 0.695312] [adversarial loss: 1.221923, acc: 0.171875] 7449: [discriminator loss: 0.474054, acc: 0.781250] [adversarial loss: 1.323407, acc: 0.171875] 7450: [discriminator loss: 0.570416, acc: 0.687500] [adversarial loss: 1.276616, acc: 0.234375] 7451: [discriminator loss: 0.556840, acc: 0.703125] [adversarial loss: 1.199180, acc: 0.156250] 7452: [discriminator loss: 0.575793, acc: 0.679688] [adversarial loss: 1.411246, acc: 0.093750] 7453: [discriminator loss: 0.565424, acc: 0.718750] [adversarial loss: 0.840029, acc: 0.421875] 7454: [discriminator loss: 0.574660, acc: 0.726562] [adversarial loss: 1.323455, acc: 0.140625] 7455: [discriminator loss: 0.565577, acc: 0.718750] [adversarial loss: 1.099511, acc: 0.218750] 7456: [discriminator loss: 0.581391, acc: 0.687500] [adversarial loss: 1.182094, acc: 0.187500] 7457: [discriminator loss: 0.519731, acc: 0.757812] [adversarial loss: 1.141603, acc: 0.203125] 7458: [discriminator loss: 0.532971, acc: 0.734375] [adversarial loss: 1.354007, acc: 0.062500] 7459: [discriminator loss: 0.527749, acc: 0.726562] [adversarial loss: 1.149228, acc: 0.281250] 7460: [discriminator loss: 0.466746, acc: 0.828125] [adversarial loss: 1.180879, acc: 0.125000] 7461: [discriminator loss: 0.498608, acc: 0.773438] [adversarial loss: 0.947056, acc: 0.406250] 7462: [discriminator loss: 0.522670, acc: 0.703125] [adversarial loss: 1.205533, acc: 0.218750] 7463: [discriminator loss: 0.563924, acc: 0.718750] [adversarial loss: 1.361583, acc: 0.187500] 7464: [discriminator loss: 0.599067, acc: 0.625000] [adversarial loss: 0.718535, acc: 0.468750] 7465: [discriminator loss: 0.633083, acc: 0.640625] [adversarial loss: 1.507637, acc: 0.093750] 7466: [discriminator loss: 0.534766, acc: 0.750000] [adversarial loss: 1.096235, acc: 0.328125] 7467: [discriminator loss: 0.582263, acc: 0.726562] [adversarial loss: 1.631733, acc: 0.078125] 7468: [discriminator loss: 0.557424, acc: 0.726562] [adversarial loss: 0.991836, acc: 0.359375] 7469: [discriminator loss: 0.511775, acc: 0.757812] [adversarial loss: 1.510703, acc: 0.140625] 7470: [discriminator loss: 0.594202, acc: 0.679688] [adversarial loss: 0.932480, acc: 0.328125] 7471: [discriminator loss: 0.536667, acc: 0.796875] [adversarial loss: 1.445646, acc: 0.093750] 7472: [discriminator loss: 0.602460, acc: 0.625000] [adversarial loss: 1.008617, acc: 0.343750] 7473: [discriminator loss: 0.521653, acc: 0.718750] [adversarial loss: 1.438505, acc: 0.140625] 7474: [discriminator loss: 0.500428, acc: 0.742188] [adversarial loss: 0.853328, acc: 0.468750] 7475: [discriminator loss: 0.593662, acc: 0.656250] [adversarial loss: 1.181093, acc: 0.234375] 7476: [discriminator loss: 0.513277, acc: 0.757812] [adversarial loss: 1.195533, acc: 0.140625] 7477: [discriminator loss: 0.587578, acc: 0.710938] [adversarial loss: 0.974040, acc: 0.359375] 7478: [discriminator loss: 0.586457, acc: 0.703125] [adversarial loss: 1.231071, acc: 0.203125] 7479: [discriminator loss: 0.516157, acc: 0.726562] [adversarial loss: 1.262570, acc: 0.187500] 7480: [discriminator loss: 0.641892, acc: 0.640625] [adversarial loss: 1.172893, acc: 0.234375] 7481: [discriminator loss: 0.548549, acc: 0.734375] [adversarial loss: 1.140129, acc: 0.265625] 7482: [discriminator loss: 0.572755, acc: 0.687500] [adversarial loss: 1.327556, acc: 0.140625] 7483: [discriminator loss: 0.539778, acc: 0.695312] [adversarial loss: 1.002009, acc: 0.343750] 7484: [discriminator loss: 0.550185, acc: 0.710938] [adversarial loss: 1.117898, acc: 0.218750] 7485: [discriminator loss: 0.528005, acc: 0.695312] [adversarial loss: 1.004885, acc: 0.343750] 7486: [discriminator loss: 0.539695, acc: 0.750000] [adversarial loss: 1.305895, acc: 0.187500] 7487: [discriminator loss: 0.482579, acc: 0.773438] [adversarial loss: 1.118974, acc: 0.312500] 7488: [discriminator loss: 0.514832, acc: 0.718750] [adversarial loss: 1.367621, acc: 0.125000] 7489: [discriminator loss: 0.589297, acc: 0.656250] [adversarial loss: 1.129152, acc: 0.343750] 7490: [discriminator loss: 0.577886, acc: 0.718750] [adversarial loss: 1.322192, acc: 0.203125] 7491: [discriminator loss: 0.461208, acc: 0.789062] [adversarial loss: 1.276239, acc: 0.125000] 7492: [discriminator loss: 0.586005, acc: 0.671875] [adversarial loss: 0.925138, acc: 0.375000] 7493: [discriminator loss: 0.531979, acc: 0.671875] [adversarial loss: 1.569013, acc: 0.125000] 7494: [discriminator loss: 0.559955, acc: 0.718750] [adversarial loss: 0.863297, acc: 0.468750] 7495: [discriminator loss: 0.567316, acc: 0.710938] [adversarial loss: 1.607175, acc: 0.046875] 7496: [discriminator loss: 0.600352, acc: 0.648438] [adversarial loss: 0.774897, acc: 0.531250] 7497: [discriminator loss: 0.590743, acc: 0.695312] [adversarial loss: 1.356370, acc: 0.234375] 7498: [discriminator loss: 0.674212, acc: 0.617188] [adversarial loss: 0.841425, acc: 0.468750] 7499: [discriminator loss: 0.569072, acc: 0.710938] [adversarial loss: 1.299140, acc: 0.187500] 7500: [discriminator loss: 0.543549, acc: 0.703125] [adversarial loss: 0.907690, acc: 0.390625] 7501: [discriminator loss: 0.524462, acc: 0.718750] [adversarial loss: 1.161449, acc: 0.218750] 7502: [discriminator loss: 0.520837, acc: 0.726562] [adversarial loss: 1.194166, acc: 0.250000] 7503: [discriminator loss: 0.565984, acc: 0.679688] [adversarial loss: 1.504860, acc: 0.109375] 7504: [discriminator loss: 0.597620, acc: 0.695312] [adversarial loss: 0.790815, acc: 0.500000] 7505: [discriminator loss: 0.582939, acc: 0.671875] [adversarial loss: 1.489429, acc: 0.078125] 7506: [discriminator loss: 0.581831, acc: 0.703125] [adversarial loss: 1.019288, acc: 0.312500] 7507: [discriminator loss: 0.523988, acc: 0.742188] [adversarial loss: 1.244886, acc: 0.265625] 7508: [discriminator loss: 0.586814, acc: 0.703125] [adversarial loss: 0.976633, acc: 0.296875] 7509: [discriminator loss: 0.538238, acc: 0.757812] [adversarial loss: 1.242525, acc: 0.203125] 7510: [discriminator loss: 0.610052, acc: 0.671875] [adversarial loss: 1.071551, acc: 0.250000] 7511: [discriminator loss: 0.586472, acc: 0.679688] [adversarial loss: 1.231296, acc: 0.203125] 7512: [discriminator loss: 0.515258, acc: 0.757812] [adversarial loss: 1.048020, acc: 0.281250] 7513: [discriminator loss: 0.657782, acc: 0.664062] [adversarial loss: 1.208997, acc: 0.156250] 7514: [discriminator loss: 0.508903, acc: 0.757812] [adversarial loss: 1.194605, acc: 0.234375] 7515: [discriminator loss: 0.585515, acc: 0.703125] [adversarial loss: 0.853828, acc: 0.468750] 7516: [discriminator loss: 0.461912, acc: 0.812500] [adversarial loss: 1.204572, acc: 0.234375] 7517: [discriminator loss: 0.543086, acc: 0.734375] [adversarial loss: 0.893334, acc: 0.390625] 7518: [discriminator loss: 0.531978, acc: 0.703125] [adversarial loss: 1.616381, acc: 0.078125] 7519: [discriminator loss: 0.469963, acc: 0.812500] [adversarial loss: 1.134013, acc: 0.328125] 7520: [discriminator loss: 0.577467, acc: 0.664062] [adversarial loss: 0.988704, acc: 0.343750] 7521: [discriminator loss: 0.596773, acc: 0.671875] [adversarial loss: 1.262099, acc: 0.250000] 7522: [discriminator loss: 0.550360, acc: 0.726562] [adversarial loss: 0.984992, acc: 0.312500] 7523: [discriminator loss: 0.540777, acc: 0.718750] [adversarial loss: 1.347277, acc: 0.156250] 7524: [discriminator loss: 0.585651, acc: 0.664062] [adversarial loss: 1.241193, acc: 0.250000] 7525: [discriminator loss: 0.592626, acc: 0.703125] [adversarial loss: 0.927988, acc: 0.343750] 7526: [discriminator loss: 0.567549, acc: 0.726562] [adversarial loss: 1.190627, acc: 0.203125] 7527: [discriminator loss: 0.498249, acc: 0.789062] [adversarial loss: 1.233163, acc: 0.218750] 7528: [discriminator loss: 0.552098, acc: 0.703125] [adversarial loss: 0.969365, acc: 0.328125] 7529: [discriminator loss: 0.583762, acc: 0.656250] [adversarial loss: 1.168670, acc: 0.171875] 7530: [discriminator loss: 0.501203, acc: 0.765625] [adversarial loss: 1.099025, acc: 0.296875] 7531: [discriminator loss: 0.538894, acc: 0.710938] [adversarial loss: 1.346950, acc: 0.125000] 7532: [discriminator loss: 0.514491, acc: 0.750000] [adversarial loss: 1.017989, acc: 0.359375] 7533: [discriminator loss: 0.541140, acc: 0.710938] [adversarial loss: 1.619431, acc: 0.140625] 7534: [discriminator loss: 0.573416, acc: 0.679688] [adversarial loss: 0.763947, acc: 0.468750] 7535: [discriminator loss: 0.597270, acc: 0.703125] [adversarial loss: 1.565596, acc: 0.125000] 7536: [discriminator loss: 0.587546, acc: 0.664062] [adversarial loss: 0.831485, acc: 0.375000] 7537: [discriminator loss: 0.609768, acc: 0.671875] [adversarial loss: 1.367185, acc: 0.125000] 7538: [discriminator loss: 0.518937, acc: 0.710938] [adversarial loss: 1.044075, acc: 0.375000] 7539: [discriminator loss: 0.606981, acc: 0.664062] [adversarial loss: 1.223288, acc: 0.125000] 7540: [discriminator loss: 0.545337, acc: 0.703125] [adversarial loss: 1.113731, acc: 0.265625] 7541: [discriminator loss: 0.531701, acc: 0.734375] [adversarial loss: 1.010121, acc: 0.296875] 7542: [discriminator loss: 0.490418, acc: 0.789062] [adversarial loss: 1.276341, acc: 0.125000] 7543: [discriminator loss: 0.524358, acc: 0.726562] [adversarial loss: 1.191008, acc: 0.281250] 7544: [discriminator loss: 0.534874, acc: 0.710938] [adversarial loss: 1.099652, acc: 0.203125] 7545: [discriminator loss: 0.526266, acc: 0.734375] [adversarial loss: 1.146931, acc: 0.234375] 7546: [discriminator loss: 0.526141, acc: 0.726562] [adversarial loss: 1.128999, acc: 0.296875] 7547: [discriminator loss: 0.581502, acc: 0.679688] [adversarial loss: 1.430069, acc: 0.125000] 7548: [discriminator loss: 0.590536, acc: 0.687500] [adversarial loss: 0.970296, acc: 0.281250] 7549: [discriminator loss: 0.649270, acc: 0.640625] [adversarial loss: 1.560903, acc: 0.062500] 7550: [discriminator loss: 0.560006, acc: 0.679688] [adversarial loss: 1.066554, acc: 0.265625] 7551: [discriminator loss: 0.611077, acc: 0.664062] [adversarial loss: 1.150320, acc: 0.328125] 7552: [discriminator loss: 0.481043, acc: 0.820312] [adversarial loss: 1.160038, acc: 0.250000] 7553: [discriminator loss: 0.574891, acc: 0.710938] [adversarial loss: 1.194387, acc: 0.296875] 7554: [discriminator loss: 0.553286, acc: 0.710938] [adversarial loss: 1.225388, acc: 0.218750] 7555: [discriminator loss: 0.555839, acc: 0.750000] [adversarial loss: 0.955488, acc: 0.359375] 7556: [discriminator loss: 0.531113, acc: 0.742188] [adversarial loss: 1.251794, acc: 0.203125] 7557: [discriminator loss: 0.521276, acc: 0.750000] [adversarial loss: 1.147311, acc: 0.203125] 7558: [discriminator loss: 0.606097, acc: 0.617188] [adversarial loss: 1.482126, acc: 0.093750] 7559: [discriminator loss: 0.532202, acc: 0.695312] [adversarial loss: 0.785033, acc: 0.484375] 7560: [discriminator loss: 0.625191, acc: 0.679688] [adversarial loss: 1.696619, acc: 0.078125] 7561: [discriminator loss: 0.613963, acc: 0.656250] [adversarial loss: 0.834729, acc: 0.562500] 7562: [discriminator loss: 0.493869, acc: 0.726562] [adversarial loss: 1.208479, acc: 0.234375] 7563: [discriminator loss: 0.582859, acc: 0.726562] [adversarial loss: 1.057709, acc: 0.296875] 7564: [discriminator loss: 0.555992, acc: 0.679688] [adversarial loss: 1.216469, acc: 0.234375] 7565: [discriminator loss: 0.611564, acc: 0.703125] [adversarial loss: 1.155534, acc: 0.265625] 7566: [discriminator loss: 0.568041, acc: 0.687500] [adversarial loss: 1.039529, acc: 0.281250] 7567: [discriminator loss: 0.509037, acc: 0.734375] [adversarial loss: 1.216230, acc: 0.234375] 7568: [discriminator loss: 0.553002, acc: 0.710938] [adversarial loss: 1.157816, acc: 0.281250] 7569: [discriminator loss: 0.554069, acc: 0.679688] [adversarial loss: 1.167680, acc: 0.234375] 7570: [discriminator loss: 0.584466, acc: 0.664062] [adversarial loss: 1.270409, acc: 0.187500] 7571: [discriminator loss: 0.577813, acc: 0.664062] [adversarial loss: 0.854572, acc: 0.328125] 7572: [discriminator loss: 0.640590, acc: 0.664062] [adversarial loss: 1.826807, acc: 0.062500] 7573: [discriminator loss: 0.548243, acc: 0.703125] [adversarial loss: 1.109500, acc: 0.296875] 7574: [discriminator loss: 0.555735, acc: 0.664062] [adversarial loss: 1.171345, acc: 0.250000] 7575: [discriminator loss: 0.552625, acc: 0.726562] [adversarial loss: 0.860814, acc: 0.437500] 7576: [discriminator loss: 0.538792, acc: 0.671875] [adversarial loss: 1.389454, acc: 0.187500] 7577: [discriminator loss: 0.558213, acc: 0.695312] [adversarial loss: 0.988609, acc: 0.421875] 7578: [discriminator loss: 0.591927, acc: 0.703125] [adversarial loss: 1.271745, acc: 0.093750] 7579: [discriminator loss: 0.510014, acc: 0.742188] [adversarial loss: 1.154438, acc: 0.312500] 7580: [discriminator loss: 0.515585, acc: 0.757812] [adversarial loss: 1.262822, acc: 0.187500] 7581: [discriminator loss: 0.541879, acc: 0.726562] [adversarial loss: 1.146115, acc: 0.312500] 7582: [discriminator loss: 0.583407, acc: 0.664062] [adversarial loss: 1.269778, acc: 0.171875] 7583: [discriminator loss: 0.539738, acc: 0.757812] [adversarial loss: 1.221131, acc: 0.171875] 7584: [discriminator loss: 0.526431, acc: 0.742188] [adversarial loss: 1.115679, acc: 0.234375] 7585: [discriminator loss: 0.587553, acc: 0.687500] [adversarial loss: 1.359151, acc: 0.140625] 7586: [discriminator loss: 0.628247, acc: 0.671875] [adversarial loss: 1.364457, acc: 0.109375] 7587: [discriminator loss: 0.558053, acc: 0.726562] [adversarial loss: 0.967460, acc: 0.375000] 7588: [discriminator loss: 0.560412, acc: 0.710938] [adversarial loss: 1.182537, acc: 0.218750] 7589: [discriminator loss: 0.529260, acc: 0.718750] [adversarial loss: 1.086503, acc: 0.265625] 7590: [discriminator loss: 0.523788, acc: 0.710938] [adversarial loss: 1.390634, acc: 0.187500] 7591: [discriminator loss: 0.591407, acc: 0.656250] [adversarial loss: 0.737550, acc: 0.546875] 7592: [discriminator loss: 0.556126, acc: 0.726562] [adversarial loss: 1.536688, acc: 0.125000] 7593: [discriminator loss: 0.535823, acc: 0.734375] [adversarial loss: 0.859347, acc: 0.421875] 7594: [discriminator loss: 0.582870, acc: 0.679688] [adversarial loss: 1.350260, acc: 0.156250] 7595: [discriminator loss: 0.648282, acc: 0.625000] [adversarial loss: 1.140737, acc: 0.187500] 7596: [discriminator loss: 0.613736, acc: 0.601562] [adversarial loss: 1.019836, acc: 0.359375] 7597: [discriminator loss: 0.542668, acc: 0.750000] [adversarial loss: 1.062244, acc: 0.296875] 7598: [discriminator loss: 0.506074, acc: 0.750000] [adversarial loss: 1.004013, acc: 0.265625] 7599: [discriminator loss: 0.551024, acc: 0.710938] [adversarial loss: 1.341494, acc: 0.109375] 7600: [discriminator loss: 0.585398, acc: 0.695312] [adversarial loss: 0.825990, acc: 0.406250] 7601: [discriminator loss: 0.617508, acc: 0.656250] [adversarial loss: 1.560885, acc: 0.125000] 7602: [discriminator loss: 0.612742, acc: 0.656250] [adversarial loss: 1.058412, acc: 0.250000] 7603: [discriminator loss: 0.506985, acc: 0.734375] [adversarial loss: 1.304754, acc: 0.078125] 7604: [discriminator loss: 0.606265, acc: 0.640625] [adversarial loss: 0.844304, acc: 0.359375] 7605: [discriminator loss: 0.571296, acc: 0.703125] [adversarial loss: 1.353656, acc: 0.109375] 7606: [discriminator loss: 0.581615, acc: 0.656250] [adversarial loss: 1.007830, acc: 0.359375] 7607: [discriminator loss: 0.564453, acc: 0.687500] [adversarial loss: 1.260985, acc: 0.171875] 7608: [discriminator loss: 0.560948, acc: 0.648438] [adversarial loss: 1.120625, acc: 0.312500] 7609: [discriminator loss: 0.555015, acc: 0.718750] [adversarial loss: 1.447870, acc: 0.062500] 7610: [discriminator loss: 0.459977, acc: 0.757812] [adversarial loss: 1.263781, acc: 0.156250] 7611: [discriminator loss: 0.526379, acc: 0.757812] [adversarial loss: 1.187984, acc: 0.250000] 7612: [discriminator loss: 0.595860, acc: 0.750000] [adversarial loss: 1.436910, acc: 0.093750] 7613: [discriminator loss: 0.510764, acc: 0.742188] [adversarial loss: 0.883525, acc: 0.421875] 7614: [discriminator loss: 0.609266, acc: 0.648438] [adversarial loss: 1.290019, acc: 0.109375] 7615: [discriminator loss: 0.581087, acc: 0.695312] [adversarial loss: 0.888471, acc: 0.437500] 7616: [discriminator loss: 0.549389, acc: 0.726562] [adversarial loss: 1.471103, acc: 0.109375] 7617: [discriminator loss: 0.596640, acc: 0.695312] [adversarial loss: 0.732722, acc: 0.531250] 7618: [discriminator loss: 0.651367, acc: 0.625000] [adversarial loss: 1.383076, acc: 0.109375] 7619: [discriminator loss: 0.607388, acc: 0.640625] [adversarial loss: 0.846358, acc: 0.468750] 7620: [discriminator loss: 0.497292, acc: 0.789062] [adversarial loss: 1.349012, acc: 0.203125] 7621: [discriminator loss: 0.634744, acc: 0.648438] [adversarial loss: 1.102616, acc: 0.234375] 7622: [discriminator loss: 0.519784, acc: 0.734375] [adversarial loss: 1.069439, acc: 0.250000] 7623: [discriminator loss: 0.544915, acc: 0.789062] [adversarial loss: 1.143002, acc: 0.187500] 7624: [discriminator loss: 0.554296, acc: 0.742188] [adversarial loss: 1.040782, acc: 0.359375] 7625: [discriminator loss: 0.531960, acc: 0.750000] [adversarial loss: 1.215478, acc: 0.156250] 7626: [discriminator loss: 0.600960, acc: 0.679688] [adversarial loss: 1.058506, acc: 0.265625] 7627: [discriminator loss: 0.545571, acc: 0.687500] [adversarial loss: 1.141435, acc: 0.250000] 7628: [discriminator loss: 0.514893, acc: 0.726562] [adversarial loss: 1.176953, acc: 0.250000] 7629: [discriminator loss: 0.517832, acc: 0.695312] [adversarial loss: 1.201632, acc: 0.203125] 7630: [discriminator loss: 0.552058, acc: 0.734375] [adversarial loss: 1.094335, acc: 0.218750] 7631: [discriminator loss: 0.560378, acc: 0.734375] [adversarial loss: 1.038179, acc: 0.265625] 7632: [discriminator loss: 0.485685, acc: 0.804688] [adversarial loss: 1.380539, acc: 0.140625] 7633: [discriminator loss: 0.619915, acc: 0.679688] [adversarial loss: 0.803492, acc: 0.515625] 7634: [discriminator loss: 0.558715, acc: 0.703125] [adversarial loss: 1.437827, acc: 0.125000] 7635: [discriminator loss: 0.610795, acc: 0.648438] [adversarial loss: 0.865744, acc: 0.468750] 7636: [discriminator loss: 0.550014, acc: 0.710938] [adversarial loss: 1.372602, acc: 0.156250] 7637: [discriminator loss: 0.629496, acc: 0.648438] [adversarial loss: 1.036466, acc: 0.312500] 7638: [discriminator loss: 0.561189, acc: 0.679688] [adversarial loss: 1.388490, acc: 0.125000] 7639: [discriminator loss: 0.542459, acc: 0.757812] [adversarial loss: 1.027501, acc: 0.203125] 7640: [discriminator loss: 0.533438, acc: 0.718750] [adversarial loss: 1.095058, acc: 0.296875] 7641: [discriminator loss: 0.574201, acc: 0.703125] [adversarial loss: 1.101152, acc: 0.281250] 7642: [discriminator loss: 0.593162, acc: 0.703125] [adversarial loss: 1.224336, acc: 0.156250] 7643: [discriminator loss: 0.547539, acc: 0.703125] [adversarial loss: 1.067966, acc: 0.296875] 7644: [discriminator loss: 0.454552, acc: 0.781250] [adversarial loss: 1.366193, acc: 0.265625] 7645: [discriminator loss: 0.511651, acc: 0.742188] [adversarial loss: 1.096648, acc: 0.343750] 7646: [discriminator loss: 0.595048, acc: 0.703125] [adversarial loss: 1.364948, acc: 0.234375] 7647: [discriminator loss: 0.558860, acc: 0.718750] [adversarial loss: 1.117967, acc: 0.281250] 7648: [discriminator loss: 0.593322, acc: 0.640625] [adversarial loss: 0.868012, acc: 0.468750] 7649: [discriminator loss: 0.608423, acc: 0.656250] [adversarial loss: 1.328911, acc: 0.203125] 7650: [discriminator loss: 0.556651, acc: 0.695312] [adversarial loss: 1.023715, acc: 0.343750] 7651: [discriminator loss: 0.523487, acc: 0.742188] [adversarial loss: 1.064688, acc: 0.328125] 7652: [discriminator loss: 0.498118, acc: 0.757812] [adversarial loss: 1.397886, acc: 0.140625] 7653: [discriminator loss: 0.582894, acc: 0.679688] [adversarial loss: 1.022694, acc: 0.281250] 7654: [discriminator loss: 0.614986, acc: 0.671875] [adversarial loss: 1.360721, acc: 0.171875] 7655: [discriminator loss: 0.574521, acc: 0.695312] [adversarial loss: 0.931897, acc: 0.390625] 7656: [discriminator loss: 0.554315, acc: 0.765625] [adversarial loss: 1.350556, acc: 0.156250] 7657: [discriminator loss: 0.556992, acc: 0.695312] [adversarial loss: 1.187072, acc: 0.093750] 7658: [discriminator loss: 0.528890, acc: 0.765625] [adversarial loss: 1.239289, acc: 0.203125] 7659: [discriminator loss: 0.592023, acc: 0.687500] [adversarial loss: 1.027209, acc: 0.281250] 7660: [discriminator loss: 0.614540, acc: 0.648438] [adversarial loss: 1.324404, acc: 0.093750] 7661: [discriminator loss: 0.545737, acc: 0.734375] [adversarial loss: 0.971610, acc: 0.359375] 7662: [discriminator loss: 0.530717, acc: 0.734375] [adversarial loss: 1.323830, acc: 0.187500] 7663: [discriminator loss: 0.498219, acc: 0.781250] [adversarial loss: 0.842675, acc: 0.484375] 7664: [discriminator loss: 0.530718, acc: 0.757812] [adversarial loss: 1.464170, acc: 0.156250] 7665: [discriminator loss: 0.522277, acc: 0.671875] [adversarial loss: 0.797177, acc: 0.515625] 7666: [discriminator loss: 0.634638, acc: 0.671875] [adversarial loss: 1.640715, acc: 0.062500] 7667: [discriminator loss: 0.530928, acc: 0.703125] [adversarial loss: 1.101034, acc: 0.250000] 7668: [discriminator loss: 0.515169, acc: 0.750000] [adversarial loss: 1.098129, acc: 0.281250] 7669: [discriminator loss: 0.578971, acc: 0.742188] [adversarial loss: 0.972687, acc: 0.421875] 7670: [discriminator loss: 0.652615, acc: 0.695312] [adversarial loss: 1.534061, acc: 0.046875] 7671: [discriminator loss: 0.593318, acc: 0.695312] [adversarial loss: 0.940683, acc: 0.312500] 7672: [discriminator loss: 0.520710, acc: 0.742188] [adversarial loss: 1.417024, acc: 0.125000] 7673: [discriminator loss: 0.482769, acc: 0.773438] [adversarial loss: 1.188165, acc: 0.156250] 7674: [discriminator loss: 0.556400, acc: 0.718750] [adversarial loss: 1.278312, acc: 0.250000] 7675: [discriminator loss: 0.548666, acc: 0.656250] [adversarial loss: 1.165639, acc: 0.203125] 7676: [discriminator loss: 0.543652, acc: 0.703125] [adversarial loss: 1.111475, acc: 0.234375] 7677: [discriminator loss: 0.531813, acc: 0.718750] [adversarial loss: 0.867741, acc: 0.421875] 7678: [discriminator loss: 0.504363, acc: 0.734375] [adversarial loss: 1.308506, acc: 0.187500] 7679: [discriminator loss: 0.533103, acc: 0.726562] [adversarial loss: 1.083842, acc: 0.234375] 7680: [discriminator loss: 0.525761, acc: 0.726562] [adversarial loss: 1.668299, acc: 0.125000] 7681: [discriminator loss: 0.707808, acc: 0.617188] [adversarial loss: 0.976900, acc: 0.437500] 7682: [discriminator loss: 0.527523, acc: 0.750000] [adversarial loss: 1.176283, acc: 0.218750] 7683: [discriminator loss: 0.551507, acc: 0.718750] [adversarial loss: 1.017590, acc: 0.312500] 7684: [discriminator loss: 0.633701, acc: 0.617188] [adversarial loss: 1.372934, acc: 0.140625] 7685: [discriminator loss: 0.481787, acc: 0.796875] [adversarial loss: 0.701510, acc: 0.562500] 7686: [discriminator loss: 0.615948, acc: 0.632812] [adversarial loss: 1.586308, acc: 0.125000] 7687: [discriminator loss: 0.627402, acc: 0.679688] [adversarial loss: 1.252009, acc: 0.171875] 7688: [discriminator loss: 0.540362, acc: 0.750000] [adversarial loss: 0.975251, acc: 0.312500] 7689: [discriminator loss: 0.624835, acc: 0.609375] [adversarial loss: 1.185407, acc: 0.171875] 7690: [discriminator loss: 0.559749, acc: 0.679688] [adversarial loss: 0.995319, acc: 0.343750] 7691: [discriminator loss: 0.541495, acc: 0.703125] [adversarial loss: 0.917703, acc: 0.437500] 7692: [discriminator loss: 0.561511, acc: 0.664062] [adversarial loss: 1.105673, acc: 0.250000] 7693: [discriminator loss: 0.503827, acc: 0.734375] [adversarial loss: 0.964757, acc: 0.296875] 7694: [discriminator loss: 0.578971, acc: 0.718750] [adversarial loss: 1.164736, acc: 0.187500] 7695: [discriminator loss: 0.625172, acc: 0.656250] [adversarial loss: 0.816772, acc: 0.484375] 7696: [discriminator loss: 0.490521, acc: 0.796875] [adversarial loss: 1.501648, acc: 0.109375] 7697: [discriminator loss: 0.521626, acc: 0.750000] [adversarial loss: 1.014056, acc: 0.359375] 7698: [discriminator loss: 0.556304, acc: 0.695312] [adversarial loss: 1.106116, acc: 0.312500] 7699: [discriminator loss: 0.516049, acc: 0.726562] [adversarial loss: 1.227126, acc: 0.156250] 7700: [discriminator loss: 0.506161, acc: 0.757812] [adversarial loss: 0.948768, acc: 0.328125] 7701: [discriminator loss: 0.533049, acc: 0.765625] [adversarial loss: 1.144616, acc: 0.265625] 7702: [discriminator loss: 0.517028, acc: 0.757812] [adversarial loss: 1.163139, acc: 0.234375] 7703: [discriminator loss: 0.642209, acc: 0.609375] [adversarial loss: 1.131548, acc: 0.187500] 7704: [discriminator loss: 0.535552, acc: 0.718750] [adversarial loss: 1.143301, acc: 0.328125] 7705: [discriminator loss: 0.610000, acc: 0.632812] [adversarial loss: 1.236692, acc: 0.250000] 7706: [discriminator loss: 0.551680, acc: 0.718750] [adversarial loss: 0.889097, acc: 0.453125] 7707: [discriminator loss: 0.566548, acc: 0.687500] [adversarial loss: 1.309860, acc: 0.109375] 7708: [discriminator loss: 0.531579, acc: 0.695312] [adversarial loss: 0.851400, acc: 0.406250] 7709: [discriminator loss: 0.580926, acc: 0.695312] [adversarial loss: 1.559576, acc: 0.031250] 7710: [discriminator loss: 0.546963, acc: 0.750000] [adversarial loss: 0.852040, acc: 0.421875] 7711: [discriminator loss: 0.599501, acc: 0.695312] [adversarial loss: 1.645659, acc: 0.125000] 7712: [discriminator loss: 0.630208, acc: 0.726562] [adversarial loss: 0.893771, acc: 0.390625] 7713: [discriminator loss: 0.575608, acc: 0.695312] [adversarial loss: 1.171914, acc: 0.234375] 7714: [discriminator loss: 0.569838, acc: 0.679688] [adversarial loss: 0.800602, acc: 0.375000] 7715: [discriminator loss: 0.614015, acc: 0.656250] [adversarial loss: 1.326037, acc: 0.140625] 7716: [discriminator loss: 0.650063, acc: 0.625000] [adversarial loss: 0.939871, acc: 0.375000] 7717: [discriminator loss: 0.547963, acc: 0.734375] [adversarial loss: 1.497063, acc: 0.109375] 7718: [discriminator loss: 0.587125, acc: 0.695312] [adversarial loss: 0.940097, acc: 0.312500] 7719: [discriminator loss: 0.596802, acc: 0.679688] [adversarial loss: 0.960769, acc: 0.312500] 7720: [discriminator loss: 0.590099, acc: 0.679688] [adversarial loss: 1.083457, acc: 0.218750] 7721: [discriminator loss: 0.590158, acc: 0.687500] [adversarial loss: 1.150705, acc: 0.281250] 7722: [discriminator loss: 0.647282, acc: 0.625000] [adversarial loss: 1.249206, acc: 0.203125] 7723: [discriminator loss: 0.550097, acc: 0.726562] [adversarial loss: 1.015864, acc: 0.359375] 7724: [discriminator loss: 0.618951, acc: 0.656250] [adversarial loss: 1.285937, acc: 0.218750] 7725: [discriminator loss: 0.526571, acc: 0.695312] [adversarial loss: 1.289307, acc: 0.171875] 7726: [discriminator loss: 0.454133, acc: 0.820312] [adversarial loss: 0.960803, acc: 0.406250] 7727: [discriminator loss: 0.503142, acc: 0.718750] [adversarial loss: 1.383844, acc: 0.140625] 7728: [discriminator loss: 0.534151, acc: 0.750000] [adversarial loss: 0.964867, acc: 0.312500] 7729: [discriminator loss: 0.557375, acc: 0.718750] [adversarial loss: 1.326425, acc: 0.046875] 7730: [discriminator loss: 0.587013, acc: 0.625000] [adversarial loss: 0.937331, acc: 0.437500] 7731: [discriminator loss: 0.588168, acc: 0.679688] [adversarial loss: 1.265681, acc: 0.203125] 7732: [discriminator loss: 0.559439, acc: 0.703125] [adversarial loss: 1.092656, acc: 0.234375] 7733: [discriminator loss: 0.536786, acc: 0.734375] [adversarial loss: 1.610972, acc: 0.062500] 7734: [discriminator loss: 0.551232, acc: 0.671875] [adversarial loss: 1.086438, acc: 0.312500] 7735: [discriminator loss: 0.519621, acc: 0.742188] [adversarial loss: 1.206912, acc: 0.265625] 7736: [discriminator loss: 0.569936, acc: 0.734375] [adversarial loss: 1.150355, acc: 0.250000] 7737: [discriminator loss: 0.583219, acc: 0.679688] [adversarial loss: 1.173480, acc: 0.265625] 7738: [discriminator loss: 0.515078, acc: 0.710938] [adversarial loss: 1.201906, acc: 0.187500] 7739: [discriminator loss: 0.626270, acc: 0.671875] [adversarial loss: 0.952639, acc: 0.328125] 7740: [discriminator loss: 0.521069, acc: 0.734375] [adversarial loss: 1.515510, acc: 0.078125] 7741: [discriminator loss: 0.500134, acc: 0.757812] [adversarial loss: 0.900527, acc: 0.484375] 7742: [discriminator loss: 0.542689, acc: 0.742188] [adversarial loss: 1.345574, acc: 0.171875] 7743: [discriminator loss: 0.534321, acc: 0.742188] [adversarial loss: 0.981566, acc: 0.328125] 7744: [discriminator loss: 0.559482, acc: 0.718750] [adversarial loss: 1.272232, acc: 0.140625] 7745: [discriminator loss: 0.564638, acc: 0.687500] [adversarial loss: 1.149837, acc: 0.265625] 7746: [discriminator loss: 0.593848, acc: 0.664062] [adversarial loss: 1.043996, acc: 0.281250] 7747: [discriminator loss: 0.525705, acc: 0.757812] [adversarial loss: 1.510689, acc: 0.125000] 7748: [discriminator loss: 0.583971, acc: 0.679688] [adversarial loss: 0.683273, acc: 0.578125] 7749: [discriminator loss: 0.593825, acc: 0.664062] [adversarial loss: 1.619479, acc: 0.078125] 7750: [discriminator loss: 0.519143, acc: 0.757812] [adversarial loss: 0.986146, acc: 0.296875] 7751: [discriminator loss: 0.548786, acc: 0.718750] [adversarial loss: 1.043694, acc: 0.296875] 7752: [discriminator loss: 0.564598, acc: 0.710938] [adversarial loss: 0.909072, acc: 0.375000] 7753: [discriminator loss: 0.564191, acc: 0.710938] [adversarial loss: 1.229788, acc: 0.187500] 7754: [discriminator loss: 0.564240, acc: 0.750000] [adversarial loss: 1.059308, acc: 0.250000] 7755: [discriminator loss: 0.480602, acc: 0.765625] [adversarial loss: 1.262592, acc: 0.109375] 7756: [discriminator loss: 0.530716, acc: 0.726562] [adversarial loss: 0.775231, acc: 0.484375] 7757: [discriminator loss: 0.586145, acc: 0.718750] [adversarial loss: 1.512180, acc: 0.078125] 7758: [discriminator loss: 0.513620, acc: 0.710938] [adversarial loss: 1.018917, acc: 0.296875] 7759: [discriminator loss: 0.575819, acc: 0.750000] [adversarial loss: 1.376461, acc: 0.203125] 7760: [discriminator loss: 0.558632, acc: 0.656250] [adversarial loss: 1.159841, acc: 0.281250] 7761: [discriminator loss: 0.600243, acc: 0.671875] [adversarial loss: 1.009169, acc: 0.296875] 7762: [discriminator loss: 0.582660, acc: 0.695312] [adversarial loss: 1.247163, acc: 0.171875] 7763: [discriminator loss: 0.565622, acc: 0.703125] [adversarial loss: 0.944587, acc: 0.390625] 7764: [discriminator loss: 0.491349, acc: 0.812500] [adversarial loss: 1.298607, acc: 0.218750] 7765: [discriminator loss: 0.567113, acc: 0.687500] [adversarial loss: 1.157665, acc: 0.265625] 7766: [discriminator loss: 0.598567, acc: 0.671875] [adversarial loss: 0.871777, acc: 0.375000] 7767: [discriminator loss: 0.594563, acc: 0.679688] [adversarial loss: 1.275690, acc: 0.203125] 7768: [discriminator loss: 0.504781, acc: 0.726562] [adversarial loss: 0.964728, acc: 0.375000] 7769: [discriminator loss: 0.588470, acc: 0.648438] [adversarial loss: 1.609349, acc: 0.046875] 7770: [discriminator loss: 0.573421, acc: 0.664062] [adversarial loss: 0.768584, acc: 0.484375] 7771: [discriminator loss: 0.564807, acc: 0.710938] [adversarial loss: 1.512183, acc: 0.109375] 7772: [discriminator loss: 0.540580, acc: 0.671875] [adversarial loss: 0.972471, acc: 0.312500] 7773: [discriminator loss: 0.557433, acc: 0.703125] [adversarial loss: 1.088902, acc: 0.296875] 7774: [discriminator loss: 0.601139, acc: 0.710938] [adversarial loss: 1.068163, acc: 0.312500] 7775: [discriminator loss: 0.584315, acc: 0.718750] [adversarial loss: 0.983047, acc: 0.312500] 7776: [discriminator loss: 0.440978, acc: 0.812500] [adversarial loss: 1.459102, acc: 0.109375] 7777: [discriminator loss: 0.575372, acc: 0.679688] [adversarial loss: 1.029443, acc: 0.343750] 7778: [discriminator loss: 0.544358, acc: 0.789062] [adversarial loss: 1.165572, acc: 0.312500] 7779: [discriminator loss: 0.518268, acc: 0.734375] [adversarial loss: 1.055074, acc: 0.296875] 7780: [discriminator loss: 0.501049, acc: 0.718750] [adversarial loss: 1.469282, acc: 0.156250] 7781: [discriminator loss: 0.523784, acc: 0.750000] [adversarial loss: 1.054315, acc: 0.406250] 7782: [discriminator loss: 0.608150, acc: 0.656250] [adversarial loss: 1.288679, acc: 0.125000] 7783: [discriminator loss: 0.536582, acc: 0.734375] [adversarial loss: 1.055670, acc: 0.421875] 7784: [discriminator loss: 0.544378, acc: 0.695312] [adversarial loss: 1.271362, acc: 0.218750] 7785: [discriminator loss: 0.485791, acc: 0.820312] [adversarial loss: 1.122811, acc: 0.250000] 7786: [discriminator loss: 0.501745, acc: 0.789062] [adversarial loss: 1.366875, acc: 0.187500] 7787: [discriminator loss: 0.542274, acc: 0.695312] [adversarial loss: 1.327135, acc: 0.171875] 7788: [discriminator loss: 0.569044, acc: 0.679688] [adversarial loss: 1.261207, acc: 0.203125] 7789: [discriminator loss: 0.522593, acc: 0.734375] [adversarial loss: 1.070871, acc: 0.250000] 7790: [discriminator loss: 0.579112, acc: 0.726562] [adversarial loss: 1.111971, acc: 0.328125] 7791: [discriminator loss: 0.555652, acc: 0.703125] [adversarial loss: 1.297106, acc: 0.156250] 7792: [discriminator loss: 0.594134, acc: 0.671875] [adversarial loss: 1.150084, acc: 0.265625] 7793: [discriminator loss: 0.523677, acc: 0.773438] [adversarial loss: 1.219319, acc: 0.234375] 7794: [discriminator loss: 0.519980, acc: 0.695312] [adversarial loss: 1.241702, acc: 0.234375] 7795: [discriminator loss: 0.584915, acc: 0.687500] [adversarial loss: 1.130803, acc: 0.281250] 7796: [discriminator loss: 0.557798, acc: 0.718750] [adversarial loss: 1.057721, acc: 0.328125] 7797: [discriminator loss: 0.545829, acc: 0.703125] [adversarial loss: 0.901268, acc: 0.484375] 7798: [discriminator loss: 0.577390, acc: 0.695312] [adversarial loss: 1.682587, acc: 0.078125] 7799: [discriminator loss: 0.596771, acc: 0.687500] [adversarial loss: 1.004750, acc: 0.343750] 7800: [discriminator loss: 0.556192, acc: 0.742188] [adversarial loss: 1.471539, acc: 0.125000] 7801: [discriminator loss: 0.590341, acc: 0.664062] [adversarial loss: 0.733232, acc: 0.531250] 7802: [discriminator loss: 0.670826, acc: 0.640625] [adversarial loss: 1.931421, acc: 0.109375] 7803: [discriminator loss: 0.675777, acc: 0.656250] [adversarial loss: 0.854707, acc: 0.390625] 7804: [discriminator loss: 0.555402, acc: 0.734375] [adversarial loss: 1.208988, acc: 0.203125] 7805: [discriminator loss: 0.538301, acc: 0.710938] [adversarial loss: 0.992317, acc: 0.265625] 7806: [discriminator loss: 0.562633, acc: 0.742188] [adversarial loss: 1.091595, acc: 0.218750] 7807: [discriminator loss: 0.530625, acc: 0.703125] [adversarial loss: 1.272196, acc: 0.234375] 7808: [discriminator loss: 0.536333, acc: 0.718750] [adversarial loss: 0.980380, acc: 0.281250] 7809: [discriminator loss: 0.522893, acc: 0.812500] [adversarial loss: 1.273572, acc: 0.234375] 7810: [discriminator loss: 0.575113, acc: 0.695312] [adversarial loss: 0.925143, acc: 0.390625] 7811: [discriminator loss: 0.532607, acc: 0.781250] [adversarial loss: 1.135652, acc: 0.328125] 7812: [discriminator loss: 0.615036, acc: 0.648438] [adversarial loss: 1.084665, acc: 0.203125] 7813: [discriminator loss: 0.526845, acc: 0.750000] [adversarial loss: 0.992477, acc: 0.359375] 7814: [discriminator loss: 0.550167, acc: 0.734375] [adversarial loss: 1.464223, acc: 0.171875] 7815: [discriminator loss: 0.536545, acc: 0.742188] [adversarial loss: 0.837091, acc: 0.453125] 7816: [discriminator loss: 0.518316, acc: 0.757812] [adversarial loss: 1.393267, acc: 0.125000] 7817: [discriminator loss: 0.553465, acc: 0.687500] [adversarial loss: 0.777321, acc: 0.484375] 7818: [discriminator loss: 0.592542, acc: 0.671875] [adversarial loss: 1.300218, acc: 0.203125] 7819: [discriminator loss: 0.565520, acc: 0.703125] [adversarial loss: 0.915208, acc: 0.359375] 7820: [discriminator loss: 0.601208, acc: 0.679688] [adversarial loss: 1.138167, acc: 0.250000] 7821: [discriminator loss: 0.599555, acc: 0.640625] [adversarial loss: 0.983956, acc: 0.328125] 7822: [discriminator loss: 0.553643, acc: 0.718750] [adversarial loss: 1.173375, acc: 0.281250] 7823: [discriminator loss: 0.577221, acc: 0.679688] [adversarial loss: 1.157108, acc: 0.312500] 7824: [discriminator loss: 0.545810, acc: 0.757812] [adversarial loss: 1.298888, acc: 0.218750] 7825: [discriminator loss: 0.581532, acc: 0.656250] [adversarial loss: 0.988164, acc: 0.375000] 7826: [discriminator loss: 0.542978, acc: 0.757812] [adversarial loss: 1.005210, acc: 0.328125] 7827: [discriminator loss: 0.547717, acc: 0.679688] [adversarial loss: 1.498872, acc: 0.125000] 7828: [discriminator loss: 0.496077, acc: 0.750000] [adversarial loss: 0.841649, acc: 0.437500] 7829: [discriminator loss: 0.562410, acc: 0.726562] [adversarial loss: 1.468962, acc: 0.093750] 7830: [discriminator loss: 0.603707, acc: 0.710938] [adversarial loss: 1.244796, acc: 0.203125] 7831: [discriminator loss: 0.539006, acc: 0.765625] [adversarial loss: 1.141559, acc: 0.296875] 7832: [discriminator loss: 0.537446, acc: 0.710938] [adversarial loss: 0.999984, acc: 0.421875] 7833: [discriminator loss: 0.534846, acc: 0.734375] [adversarial loss: 1.262075, acc: 0.250000] 7834: [discriminator loss: 0.615314, acc: 0.671875] [adversarial loss: 0.942737, acc: 0.343750] 7835: [discriminator loss: 0.566496, acc: 0.710938] [adversarial loss: 1.619560, acc: 0.093750] 7836: [discriminator loss: 0.591843, acc: 0.664062] [adversarial loss: 0.835172, acc: 0.531250] 7837: [discriminator loss: 0.611334, acc: 0.664062] [adversarial loss: 1.461600, acc: 0.109375] 7838: [discriminator loss: 0.601430, acc: 0.664062] [adversarial loss: 1.041222, acc: 0.343750] 7839: [discriminator loss: 0.603643, acc: 0.648438] [adversarial loss: 1.066947, acc: 0.218750] 7840: [discriminator loss: 0.485897, acc: 0.734375] [adversarial loss: 0.973689, acc: 0.343750] 7841: [discriminator loss: 0.539540, acc: 0.718750] [adversarial loss: 1.421852, acc: 0.062500] 7842: [discriminator loss: 0.655279, acc: 0.648438] [adversarial loss: 1.020807, acc: 0.437500] 7843: [discriminator loss: 0.521174, acc: 0.742188] [adversarial loss: 1.235851, acc: 0.140625] 7844: [discriminator loss: 0.538786, acc: 0.718750] [adversarial loss: 1.034921, acc: 0.312500] 7845: [discriminator loss: 0.578216, acc: 0.640625] [adversarial loss: 1.465971, acc: 0.171875] 7846: [discriminator loss: 0.641463, acc: 0.648438] [adversarial loss: 0.727765, acc: 0.546875] 7847: [discriminator loss: 0.689844, acc: 0.632812] [adversarial loss: 1.583282, acc: 0.078125] 7848: [discriminator loss: 0.560713, acc: 0.664062] [adversarial loss: 0.881752, acc: 0.390625] 7849: [discriminator loss: 0.586198, acc: 0.687500] [adversarial loss: 1.389019, acc: 0.156250] 7850: [discriminator loss: 0.503463, acc: 0.718750] [adversarial loss: 0.942102, acc: 0.250000] 7851: [discriminator loss: 0.579006, acc: 0.687500] [adversarial loss: 0.931485, acc: 0.312500] 7852: [discriminator loss: 0.569253, acc: 0.687500] [adversarial loss: 1.118338, acc: 0.218750] 7853: [discriminator loss: 0.520636, acc: 0.742188] [adversarial loss: 1.187073, acc: 0.187500] 7854: [discriminator loss: 0.562249, acc: 0.710938] [adversarial loss: 1.133485, acc: 0.234375] 7855: [discriminator loss: 0.532680, acc: 0.718750] [adversarial loss: 0.995348, acc: 0.343750] 7856: [discriminator loss: 0.565731, acc: 0.734375] [adversarial loss: 1.265100, acc: 0.140625] 7857: [discriminator loss: 0.543017, acc: 0.703125] [adversarial loss: 1.008385, acc: 0.343750] 7858: [discriminator loss: 0.539805, acc: 0.710938] [adversarial loss: 1.283631, acc: 0.187500] 7859: [discriminator loss: 0.481015, acc: 0.726562] [adversarial loss: 1.137882, acc: 0.296875] 7860: [discriminator loss: 0.588762, acc: 0.679688] [adversarial loss: 1.287774, acc: 0.125000] 7861: [discriminator loss: 0.573370, acc: 0.687500] [adversarial loss: 0.900583, acc: 0.421875] 7862: [discriminator loss: 0.628141, acc: 0.640625] [adversarial loss: 1.416148, acc: 0.093750] 7863: [discriminator loss: 0.544097, acc: 0.734375] [adversarial loss: 0.832381, acc: 0.421875] 7864: [discriminator loss: 0.567215, acc: 0.687500] [adversarial loss: 1.624511, acc: 0.046875] 7865: [discriminator loss: 0.561110, acc: 0.695312] [adversarial loss: 1.031014, acc: 0.328125] 7866: [discriminator loss: 0.531138, acc: 0.742188] [adversarial loss: 1.166458, acc: 0.234375] 7867: [discriminator loss: 0.519427, acc: 0.742188] [adversarial loss: 1.105955, acc: 0.250000] 7868: [discriminator loss: 0.569350, acc: 0.679688] [adversarial loss: 1.134076, acc: 0.203125] 7869: [discriminator loss: 0.506921, acc: 0.750000] [adversarial loss: 1.166654, acc: 0.187500] 7870: [discriminator loss: 0.589667, acc: 0.648438] [adversarial loss: 1.155203, acc: 0.281250] 7871: [discriminator loss: 0.568933, acc: 0.656250] [adversarial loss: 1.114014, acc: 0.296875] 7872: [discriminator loss: 0.484127, acc: 0.765625] [adversarial loss: 0.912993, acc: 0.406250] 7873: [discriminator loss: 0.614344, acc: 0.632812] [adversarial loss: 1.008791, acc: 0.343750] 7874: [discriminator loss: 0.508117, acc: 0.734375] [adversarial loss: 1.123340, acc: 0.203125] 7875: [discriminator loss: 0.571689, acc: 0.734375] [adversarial loss: 1.289025, acc: 0.187500] 7876: [discriminator loss: 0.529137, acc: 0.710938] [adversarial loss: 0.983146, acc: 0.328125] 7877: [discriminator loss: 0.619065, acc: 0.664062] [adversarial loss: 1.075597, acc: 0.250000] 7878: [discriminator loss: 0.549470, acc: 0.750000] [adversarial loss: 0.917909, acc: 0.296875] 7879: [discriminator loss: 0.548180, acc: 0.742188] [adversarial loss: 1.356275, acc: 0.125000] 7880: [discriminator loss: 0.595977, acc: 0.648438] [adversarial loss: 1.045312, acc: 0.328125] 7881: [discriminator loss: 0.548878, acc: 0.679688] [adversarial loss: 1.226419, acc: 0.234375] 7882: [discriminator loss: 0.614111, acc: 0.656250] [adversarial loss: 1.296696, acc: 0.125000] 7883: [discriminator loss: 0.598294, acc: 0.648438] [adversarial loss: 0.643627, acc: 0.625000] 7884: [discriminator loss: 0.703205, acc: 0.625000] [adversarial loss: 1.336304, acc: 0.093750] 7885: [discriminator loss: 0.612581, acc: 0.671875] [adversarial loss: 0.847856, acc: 0.437500] 7886: [discriminator loss: 0.527158, acc: 0.710938] [adversarial loss: 1.290692, acc: 0.156250] 7887: [discriminator loss: 0.587394, acc: 0.687500] [adversarial loss: 1.010042, acc: 0.296875] 7888: [discriminator loss: 0.603589, acc: 0.687500] [adversarial loss: 1.285708, acc: 0.156250] 7889: [discriminator loss: 0.530023, acc: 0.726562] [adversarial loss: 0.977367, acc: 0.265625] 7890: [discriminator loss: 0.473643, acc: 0.773438] [adversarial loss: 1.157241, acc: 0.234375] 7891: [discriminator loss: 0.525528, acc: 0.757812] [adversarial loss: 1.114238, acc: 0.281250] 7892: [discriminator loss: 0.510718, acc: 0.789062] [adversarial loss: 1.147409, acc: 0.281250] 7893: [discriminator loss: 0.520755, acc: 0.734375] [adversarial loss: 1.180807, acc: 0.250000] 7894: [discriminator loss: 0.590945, acc: 0.679688] [adversarial loss: 1.125186, acc: 0.312500] 7895: [discriminator loss: 0.502677, acc: 0.796875] [adversarial loss: 1.093791, acc: 0.265625] 7896: [discriminator loss: 0.483946, acc: 0.773438] [adversarial loss: 1.131613, acc: 0.296875] 7897: [discriminator loss: 0.569212, acc: 0.687500] [adversarial loss: 1.201665, acc: 0.218750] 7898: [discriminator loss: 0.593106, acc: 0.695312] [adversarial loss: 0.875309, acc: 0.453125] 7899: [discriminator loss: 0.597846, acc: 0.679688] [adversarial loss: 1.376685, acc: 0.203125] 7900: [discriminator loss: 0.554559, acc: 0.703125] [adversarial loss: 1.048027, acc: 0.281250] 7901: [discriminator loss: 0.510793, acc: 0.789062] [adversarial loss: 1.080912, acc: 0.390625] 7902: [discriminator loss: 0.504115, acc: 0.773438] [adversarial loss: 1.019916, acc: 0.375000] 7903: [discriminator loss: 0.569354, acc: 0.687500] [adversarial loss: 1.379579, acc: 0.125000] 7904: [discriminator loss: 0.578345, acc: 0.664062] [adversarial loss: 1.170249, acc: 0.218750] 7905: [discriminator loss: 0.486286, acc: 0.765625] [adversarial loss: 1.201449, acc: 0.234375] 7906: [discriminator loss: 0.507602, acc: 0.726562] [adversarial loss: 1.016885, acc: 0.328125] 7907: [discriminator loss: 0.554821, acc: 0.718750] [adversarial loss: 1.215465, acc: 0.171875] 7908: [discriminator loss: 0.470391, acc: 0.757812] [adversarial loss: 1.357350, acc: 0.187500] 7909: [discriminator loss: 0.586997, acc: 0.679688] [adversarial loss: 1.056123, acc: 0.328125] 7910: [discriminator loss: 0.567121, acc: 0.718750] [adversarial loss: 1.263305, acc: 0.156250] 7911: [discriminator loss: 0.641931, acc: 0.664062] [adversarial loss: 0.756285, acc: 0.546875] 7912: [discriminator loss: 0.644435, acc: 0.617188] [adversarial loss: 1.522373, acc: 0.031250] 7913: [discriminator loss: 0.625064, acc: 0.671875] [adversarial loss: 0.729051, acc: 0.531250] 7914: [discriminator loss: 0.646298, acc: 0.664062] [adversarial loss: 1.600846, acc: 0.062500] 7915: [discriminator loss: 0.539531, acc: 0.703125] [adversarial loss: 1.012593, acc: 0.328125] 7916: [discriminator loss: 0.539940, acc: 0.710938] [adversarial loss: 1.152003, acc: 0.265625] 7917: [discriminator loss: 0.542624, acc: 0.703125] [adversarial loss: 1.147600, acc: 0.218750] 7918: [discriminator loss: 0.521819, acc: 0.726562] [adversarial loss: 0.939791, acc: 0.296875] 7919: [discriminator loss: 0.614847, acc: 0.726562] [adversarial loss: 1.134015, acc: 0.281250] 7920: [discriminator loss: 0.540477, acc: 0.687500] [adversarial loss: 1.167382, acc: 0.328125] 7921: [discriminator loss: 0.572470, acc: 0.671875] [adversarial loss: 1.232145, acc: 0.218750] 7922: [discriminator loss: 0.506952, acc: 0.765625] [adversarial loss: 1.198141, acc: 0.250000] 7923: [discriminator loss: 0.570455, acc: 0.679688] [adversarial loss: 1.106488, acc: 0.265625] 7924: [discriminator loss: 0.550909, acc: 0.710938] [adversarial loss: 1.092161, acc: 0.250000] 7925: [discriminator loss: 0.520291, acc: 0.734375] [adversarial loss: 1.094680, acc: 0.265625] 7926: [discriminator loss: 0.596569, acc: 0.703125] [adversarial loss: 1.146583, acc: 0.218750] 7927: [discriminator loss: 0.550821, acc: 0.710938] [adversarial loss: 1.079159, acc: 0.312500] 7928: [discriminator loss: 0.551969, acc: 0.757812] [adversarial loss: 1.187369, acc: 0.296875] 7929: [discriminator loss: 0.573367, acc: 0.687500] [adversarial loss: 1.437814, acc: 0.140625] 7930: [discriminator loss: 0.484778, acc: 0.742188] [adversarial loss: 0.997715, acc: 0.281250] 7931: [discriminator loss: 0.568871, acc: 0.710938] [adversarial loss: 1.337807, acc: 0.156250] 7932: [discriminator loss: 0.508358, acc: 0.765625] [adversarial loss: 1.097298, acc: 0.296875] 7933: [discriminator loss: 0.575627, acc: 0.726562] [adversarial loss: 1.244564, acc: 0.187500] 7934: [discriminator loss: 0.581114, acc: 0.718750] [adversarial loss: 0.999003, acc: 0.406250] 7935: [discriminator loss: 0.632165, acc: 0.656250] [adversarial loss: 1.545189, acc: 0.046875] 7936: [discriminator loss: 0.535702, acc: 0.742188] [adversarial loss: 0.892437, acc: 0.484375] 7937: [discriminator loss: 0.588526, acc: 0.703125] [adversarial loss: 1.127572, acc: 0.187500] 7938: [discriminator loss: 0.502798, acc: 0.757812] [adversarial loss: 1.163324, acc: 0.218750] 7939: [discriminator loss: 0.520038, acc: 0.726562] [adversarial loss: 1.256556, acc: 0.187500] 7940: [discriminator loss: 0.559765, acc: 0.718750] [adversarial loss: 1.175754, acc: 0.234375] 7941: [discriminator loss: 0.612502, acc: 0.625000] [adversarial loss: 1.123736, acc: 0.312500] 7942: [discriminator loss: 0.629954, acc: 0.656250] [adversarial loss: 0.990678, acc: 0.328125] 7943: [discriminator loss: 0.501419, acc: 0.820312] [adversarial loss: 1.045153, acc: 0.312500] 7944: [discriminator loss: 0.569070, acc: 0.703125] [adversarial loss: 1.559462, acc: 0.093750] 7945: [discriminator loss: 0.555331, acc: 0.695312] [adversarial loss: 0.916777, acc: 0.437500] 7946: [discriminator loss: 0.485890, acc: 0.757812] [adversarial loss: 1.133903, acc: 0.250000] 7947: [discriminator loss: 0.535303, acc: 0.726562] [adversarial loss: 1.282514, acc: 0.171875] 7948: [discriminator loss: 0.552706, acc: 0.726562] [adversarial loss: 1.168649, acc: 0.171875] 7949: [discriminator loss: 0.521712, acc: 0.726562] [adversarial loss: 0.848284, acc: 0.406250] 7950: [discriminator loss: 0.616986, acc: 0.632812] [adversarial loss: 1.369053, acc: 0.140625] 7951: [discriminator loss: 0.636537, acc: 0.617188] [adversarial loss: 0.789039, acc: 0.500000] 7952: [discriminator loss: 0.576321, acc: 0.726562] [adversarial loss: 1.256525, acc: 0.218750] 7953: [discriminator loss: 0.520800, acc: 0.757812] [adversarial loss: 1.090743, acc: 0.296875] 7954: [discriminator loss: 0.524818, acc: 0.750000] [adversarial loss: 1.157073, acc: 0.343750] 7955: [discriminator loss: 0.561514, acc: 0.695312] [adversarial loss: 0.970129, acc: 0.281250] 7956: [discriminator loss: 0.593810, acc: 0.656250] [adversarial loss: 1.372840, acc: 0.187500] 7957: [discriminator loss: 0.533864, acc: 0.718750] [adversarial loss: 1.299945, acc: 0.187500] 7958: [discriminator loss: 0.557483, acc: 0.710938] [adversarial loss: 1.444234, acc: 0.125000] 7959: [discriminator loss: 0.548904, acc: 0.765625] [adversarial loss: 1.045210, acc: 0.265625] 7960: [discriminator loss: 0.548005, acc: 0.726562] [adversarial loss: 1.210313, acc: 0.218750] 7961: [discriminator loss: 0.548364, acc: 0.726562] [adversarial loss: 1.392620, acc: 0.171875] 7962: [discriminator loss: 0.487108, acc: 0.765625] [adversarial loss: 0.971750, acc: 0.312500] 7963: [discriminator loss: 0.521061, acc: 0.695312] [adversarial loss: 1.817630, acc: 0.062500] 7964: [discriminator loss: 0.669759, acc: 0.625000] [adversarial loss: 0.778813, acc: 0.437500] 7965: [discriminator loss: 0.584743, acc: 0.695312] [adversarial loss: 1.231892, acc: 0.140625] 7966: [discriminator loss: 0.566514, acc: 0.695312] [adversarial loss: 1.229641, acc: 0.250000] 7967: [discriminator loss: 0.568474, acc: 0.703125] [adversarial loss: 1.154120, acc: 0.203125] 7968: [discriminator loss: 0.510099, acc: 0.757812] [adversarial loss: 1.399741, acc: 0.109375] 7969: [discriminator loss: 0.496067, acc: 0.765625] [adversarial loss: 0.963302, acc: 0.406250] 7970: [discriminator loss: 0.498849, acc: 0.781250] [adversarial loss: 1.231011, acc: 0.203125] 7971: [discriminator loss: 0.524645, acc: 0.687500] [adversarial loss: 0.979818, acc: 0.390625] 7972: [discriminator loss: 0.549430, acc: 0.695312] [adversarial loss: 1.306458, acc: 0.250000] 7973: [discriminator loss: 0.549680, acc: 0.718750] [adversarial loss: 0.926713, acc: 0.343750] 7974: [discriminator loss: 0.562101, acc: 0.695312] [adversarial loss: 1.430595, acc: 0.093750] 7975: [discriminator loss: 0.583848, acc: 0.656250] [adversarial loss: 0.839291, acc: 0.515625] 7976: [discriminator loss: 0.608874, acc: 0.640625] [adversarial loss: 1.525378, acc: 0.156250] 7977: [discriminator loss: 0.556099, acc: 0.695312] [adversarial loss: 1.088901, acc: 0.328125] 7978: [discriminator loss: 0.474867, acc: 0.804688] [adversarial loss: 1.263868, acc: 0.140625] 7979: [discriminator loss: 0.521389, acc: 0.671875] [adversarial loss: 0.853924, acc: 0.343750] 7980: [discriminator loss: 0.578282, acc: 0.710938] [adversarial loss: 1.367436, acc: 0.218750] 7981: [discriminator loss: 0.554751, acc: 0.695312] [adversarial loss: 1.075718, acc: 0.421875] 7982: [discriminator loss: 0.601086, acc: 0.664062] [adversarial loss: 1.348812, acc: 0.187500] 7983: [discriminator loss: 0.602861, acc: 0.625000] [adversarial loss: 0.897235, acc: 0.359375] 7984: [discriminator loss: 0.557429, acc: 0.710938] [adversarial loss: 1.378911, acc: 0.125000] 7985: [discriminator loss: 0.561928, acc: 0.710938] [adversarial loss: 0.718772, acc: 0.546875] 7986: [discriminator loss: 0.577370, acc: 0.703125] [adversarial loss: 1.367870, acc: 0.140625] 7987: [discriminator loss: 0.568252, acc: 0.710938] [adversarial loss: 0.928431, acc: 0.390625] 7988: [discriminator loss: 0.439339, acc: 0.820312] [adversarial loss: 1.321009, acc: 0.171875] 7989: [discriminator loss: 0.528805, acc: 0.734375] [adversarial loss: 0.967493, acc: 0.406250] 7990: [discriminator loss: 0.519254, acc: 0.796875] [adversarial loss: 1.195360, acc: 0.250000] 7991: [discriminator loss: 0.572706, acc: 0.703125] [adversarial loss: 0.941635, acc: 0.484375] 7992: [discriminator loss: 0.628495, acc: 0.625000] [adversarial loss: 1.295455, acc: 0.234375] 7993: [discriminator loss: 0.579942, acc: 0.679688] [adversarial loss: 0.797693, acc: 0.562500] 7994: [discriminator loss: 0.574410, acc: 0.718750] [adversarial loss: 1.485523, acc: 0.109375] 7995: [discriminator loss: 0.592754, acc: 0.703125] [adversarial loss: 0.743840, acc: 0.515625] 7996: [discriminator loss: 0.635263, acc: 0.609375] [adversarial loss: 1.617985, acc: 0.109375] 7997: [discriminator loss: 0.512324, acc: 0.703125] [adversarial loss: 0.940315, acc: 0.390625] 7998: [discriminator loss: 0.500395, acc: 0.773438] [adversarial loss: 1.191302, acc: 0.203125] 7999: [discriminator loss: 0.579954, acc: 0.742188] [adversarial loss: 1.194174, acc: 0.203125] 8000: [discriminator loss: 0.581023, acc: 0.679688] [adversarial loss: 1.038260, acc: 0.343750] 8001: [discriminator loss: 0.498623, acc: 0.757812] [adversarial loss: 1.099674, acc: 0.265625] 8002: [discriminator loss: 0.550541, acc: 0.718750] [adversarial loss: 1.210510, acc: 0.125000] 8003: [discriminator loss: 0.526718, acc: 0.726562] [adversarial loss: 0.943616, acc: 0.437500] 8004: [discriminator loss: 0.557894, acc: 0.734375] [adversarial loss: 1.187525, acc: 0.296875] 8005: [discriminator loss: 0.540316, acc: 0.718750] [adversarial loss: 1.091692, acc: 0.281250] 8006: [discriminator loss: 0.539722, acc: 0.718750] [adversarial loss: 1.031958, acc: 0.281250] 8007: [discriminator loss: 0.543821, acc: 0.695312] [adversarial loss: 1.435906, acc: 0.156250] 8008: [discriminator loss: 0.598633, acc: 0.695312] [adversarial loss: 0.941227, acc: 0.390625] 8009: [discriminator loss: 0.615761, acc: 0.664062] [adversarial loss: 1.602425, acc: 0.062500] 8010: [discriminator loss: 0.517451, acc: 0.695312] [adversarial loss: 0.876665, acc: 0.421875] 8011: [discriminator loss: 0.557656, acc: 0.679688] [adversarial loss: 1.572603, acc: 0.125000] 8012: [discriminator loss: 0.528509, acc: 0.710938] [adversarial loss: 1.078724, acc: 0.281250] 8013: [discriminator loss: 0.532945, acc: 0.726562] [adversarial loss: 1.443097, acc: 0.109375] 8014: [discriminator loss: 0.564716, acc: 0.679688] [adversarial loss: 1.118349, acc: 0.218750] 8015: [discriminator loss: 0.521132, acc: 0.687500] [adversarial loss: 1.345523, acc: 0.203125] 8016: [discriminator loss: 0.543146, acc: 0.718750] [adversarial loss: 0.812477, acc: 0.421875] 8017: [discriminator loss: 0.473881, acc: 0.804688] [adversarial loss: 0.978066, acc: 0.328125] 8018: [discriminator loss: 0.574135, acc: 0.664062] [adversarial loss: 1.228557, acc: 0.171875] 8019: [discriminator loss: 0.503539, acc: 0.734375] [adversarial loss: 0.853674, acc: 0.453125] 8020: [discriminator loss: 0.549089, acc: 0.718750] [adversarial loss: 1.602582, acc: 0.078125] 8021: [discriminator loss: 0.585637, acc: 0.703125] [adversarial loss: 0.745912, acc: 0.562500] 8022: [discriminator loss: 0.562628, acc: 0.742188] [adversarial loss: 1.437388, acc: 0.203125] 8023: [discriminator loss: 0.558181, acc: 0.695312] [adversarial loss: 0.840464, acc: 0.406250] 8024: [discriminator loss: 0.513372, acc: 0.718750] [adversarial loss: 1.015499, acc: 0.312500] 8025: [discriminator loss: 0.528422, acc: 0.679688] [adversarial loss: 0.979092, acc: 0.281250] 8026: [discriminator loss: 0.520478, acc: 0.757812] [adversarial loss: 1.463867, acc: 0.125000] 8027: [discriminator loss: 0.604661, acc: 0.625000] [adversarial loss: 1.235215, acc: 0.203125] 8028: [discriminator loss: 0.510993, acc: 0.734375] [adversarial loss: 1.054596, acc: 0.328125] 8029: [discriminator loss: 0.601168, acc: 0.664062] [adversarial loss: 1.044726, acc: 0.375000] 8030: [discriminator loss: 0.593806, acc: 0.679688] [adversarial loss: 1.140354, acc: 0.265625] 8031: [discriminator loss: 0.515444, acc: 0.773438] [adversarial loss: 1.097714, acc: 0.234375] 8032: [discriminator loss: 0.570457, acc: 0.609375] [adversarial loss: 1.003315, acc: 0.390625] 8033: [discriminator loss: 0.548792, acc: 0.750000] [adversarial loss: 1.326553, acc: 0.140625] 8034: [discriminator loss: 0.541164, acc: 0.726562] [adversarial loss: 0.891168, acc: 0.453125] 8035: [discriminator loss: 0.519628, acc: 0.718750] [adversarial loss: 1.718566, acc: 0.062500] 8036: [discriminator loss: 0.554055, acc: 0.734375] [adversarial loss: 0.869706, acc: 0.453125] 8037: [discriminator loss: 0.669301, acc: 0.648438] [adversarial loss: 1.189822, acc: 0.281250] 8038: [discriminator loss: 0.508278, acc: 0.773438] [adversarial loss: 1.032022, acc: 0.328125] 8039: [discriminator loss: 0.550587, acc: 0.679688] [adversarial loss: 1.228921, acc: 0.218750] 8040: [discriminator loss: 0.584191, acc: 0.695312] [adversarial loss: 1.551161, acc: 0.093750] 8041: [discriminator loss: 0.615246, acc: 0.664062] [adversarial loss: 0.789757, acc: 0.531250] 8042: [discriminator loss: 0.592864, acc: 0.718750] [adversarial loss: 1.368277, acc: 0.156250] 8043: [discriminator loss: 0.531216, acc: 0.703125] [adversarial loss: 1.109542, acc: 0.250000] 8044: [discriminator loss: 0.567966, acc: 0.671875] [adversarial loss: 1.203443, acc: 0.203125] 8045: [discriminator loss: 0.621313, acc: 0.648438] [adversarial loss: 1.146520, acc: 0.250000] 8046: [discriminator loss: 0.550423, acc: 0.718750] [adversarial loss: 1.108820, acc: 0.234375] 8047: [discriminator loss: 0.538665, acc: 0.703125] [adversarial loss: 1.185663, acc: 0.265625] 8048: [discriminator loss: 0.522304, acc: 0.742188] [adversarial loss: 1.066592, acc: 0.312500] 8049: [discriminator loss: 0.556800, acc: 0.695312] [adversarial loss: 1.196628, acc: 0.203125] 8050: [discriminator loss: 0.482602, acc: 0.765625] [adversarial loss: 1.009203, acc: 0.328125] 8051: [discriminator loss: 0.502320, acc: 0.757812] [adversarial loss: 1.121452, acc: 0.265625] 8052: [discriminator loss: 0.595902, acc: 0.664062] [adversarial loss: 1.167741, acc: 0.265625] 8053: [discriminator loss: 0.524443, acc: 0.703125] [adversarial loss: 1.156620, acc: 0.250000] 8054: [discriminator loss: 0.615575, acc: 0.664062] [adversarial loss: 1.356220, acc: 0.140625] 8055: [discriminator loss: 0.523244, acc: 0.757812] [adversarial loss: 0.978100, acc: 0.359375] 8056: [discriminator loss: 0.533109, acc: 0.726562] [adversarial loss: 1.125098, acc: 0.218750] 8057: [discriminator loss: 0.552483, acc: 0.671875] [adversarial loss: 1.239751, acc: 0.250000] 8058: [discriminator loss: 0.582973, acc: 0.625000] [adversarial loss: 0.912176, acc: 0.421875] 8059: [discriminator loss: 0.574859, acc: 0.710938] [adversarial loss: 1.876748, acc: 0.046875] 8060: [discriminator loss: 0.557263, acc: 0.710938] [adversarial loss: 0.988069, acc: 0.390625] 8061: [discriminator loss: 0.662156, acc: 0.625000] [adversarial loss: 1.423158, acc: 0.140625] 8062: [discriminator loss: 0.581018, acc: 0.671875] [adversarial loss: 1.001472, acc: 0.312500] 8063: [discriminator loss: 0.568024, acc: 0.695312] [adversarial loss: 1.150586, acc: 0.265625] 8064: [discriminator loss: 0.572364, acc: 0.656250] [adversarial loss: 1.106660, acc: 0.281250] 8065: [discriminator loss: 0.612169, acc: 0.656250] [adversarial loss: 1.263670, acc: 0.203125] 8066: [discriminator loss: 0.523062, acc: 0.734375] [adversarial loss: 0.981784, acc: 0.406250] 8067: [discriminator loss: 0.610777, acc: 0.679688] [adversarial loss: 1.235307, acc: 0.156250] 8068: [discriminator loss: 0.569802, acc: 0.710938] [adversarial loss: 1.346126, acc: 0.203125] 8069: [discriminator loss: 0.525045, acc: 0.750000] [adversarial loss: 0.811157, acc: 0.468750] 8070: [discriminator loss: 0.591762, acc: 0.679688] [adversarial loss: 1.679571, acc: 0.046875] 8071: [discriminator loss: 0.634321, acc: 0.593750] [adversarial loss: 0.854554, acc: 0.375000] 8072: [discriminator loss: 0.494359, acc: 0.789062] [adversarial loss: 1.228540, acc: 0.281250] 8073: [discriminator loss: 0.537855, acc: 0.703125] [adversarial loss: 1.063156, acc: 0.250000] 8074: [discriminator loss: 0.456363, acc: 0.757812] [adversarial loss: 1.200294, acc: 0.250000] 8075: [discriminator loss: 0.539210, acc: 0.734375] [adversarial loss: 0.913713, acc: 0.406250] 8076: [discriminator loss: 0.496808, acc: 0.796875] [adversarial loss: 1.406636, acc: 0.187500] 8077: [discriminator loss: 0.620586, acc: 0.625000] [adversarial loss: 0.942632, acc: 0.406250] 8078: [discriminator loss: 0.543153, acc: 0.718750] [adversarial loss: 1.301438, acc: 0.156250] 8079: [discriminator loss: 0.564175, acc: 0.726562] [adversarial loss: 0.987303, acc: 0.328125] 8080: [discriminator loss: 0.520041, acc: 0.718750] [adversarial loss: 1.358134, acc: 0.171875] 8081: [discriminator loss: 0.607904, acc: 0.671875] [adversarial loss: 0.871813, acc: 0.453125] 8082: [discriminator loss: 0.495283, acc: 0.796875] [adversarial loss: 1.221631, acc: 0.234375] 8083: [discriminator loss: 0.581050, acc: 0.710938] [adversarial loss: 0.867746, acc: 0.453125] 8084: [discriminator loss: 0.558377, acc: 0.679688] [adversarial loss: 1.285062, acc: 0.187500] 8085: [discriminator loss: 0.529690, acc: 0.718750] [adversarial loss: 0.735630, acc: 0.515625] 8086: [discriminator loss: 0.590332, acc: 0.695312] [adversarial loss: 1.524778, acc: 0.140625] 8087: [discriminator loss: 0.655599, acc: 0.656250] [adversarial loss: 0.963374, acc: 0.375000] 8088: [discriminator loss: 0.542709, acc: 0.734375] [adversarial loss: 1.465652, acc: 0.125000] 8089: [discriminator loss: 0.582395, acc: 0.695312] [adversarial loss: 1.285415, acc: 0.203125] 8090: [discriminator loss: 0.504807, acc: 0.765625] [adversarial loss: 1.160133, acc: 0.234375] 8091: [discriminator loss: 0.581235, acc: 0.648438] [adversarial loss: 1.328316, acc: 0.109375] 8092: [discriminator loss: 0.586658, acc: 0.671875] [adversarial loss: 0.851493, acc: 0.484375] 8093: [discriminator loss: 0.621984, acc: 0.671875] [adversarial loss: 1.616899, acc: 0.125000] 8094: [discriminator loss: 0.656443, acc: 0.632812] [adversarial loss: 0.961188, acc: 0.343750] 8095: [discriminator loss: 0.586680, acc: 0.640625] [adversarial loss: 1.356081, acc: 0.171875] 8096: [discriminator loss: 0.562389, acc: 0.695312] [adversarial loss: 0.940127, acc: 0.328125] 8097: [discriminator loss: 0.535874, acc: 0.710938] [adversarial loss: 1.249168, acc: 0.156250] 8098: [discriminator loss: 0.545743, acc: 0.734375] [adversarial loss: 1.002456, acc: 0.375000] 8099: [discriminator loss: 0.568191, acc: 0.671875] [adversarial loss: 0.970157, acc: 0.328125] 8100: [discriminator loss: 0.631988, acc: 0.695312] [adversarial loss: 1.267444, acc: 0.203125] 8101: [discriminator loss: 0.544459, acc: 0.710938] [adversarial loss: 0.955443, acc: 0.296875] 8102: [discriminator loss: 0.527228, acc: 0.734375] [adversarial loss: 1.220687, acc: 0.156250] 8103: [discriminator loss: 0.549192, acc: 0.703125] [adversarial loss: 1.256071, acc: 0.187500] 8104: [discriminator loss: 0.610714, acc: 0.687500] [adversarial loss: 0.942232, acc: 0.312500] 8105: [discriminator loss: 0.569347, acc: 0.703125] [adversarial loss: 1.187466, acc: 0.296875] 8106: [discriminator loss: 0.554722, acc: 0.703125] [adversarial loss: 1.047771, acc: 0.312500] 8107: [discriminator loss: 0.551983, acc: 0.757812] [adversarial loss: 1.104455, acc: 0.265625] 8108: [discriminator loss: 0.525968, acc: 0.703125] [adversarial loss: 1.164862, acc: 0.234375] 8109: [discriminator loss: 0.578243, acc: 0.671875] [adversarial loss: 1.084951, acc: 0.250000] 8110: [discriminator loss: 0.569694, acc: 0.726562] [adversarial loss: 1.316610, acc: 0.156250] 8111: [discriminator loss: 0.556203, acc: 0.703125] [adversarial loss: 1.182027, acc: 0.296875] 8112: [discriminator loss: 0.519038, acc: 0.710938] [adversarial loss: 1.308200, acc: 0.187500] 8113: [discriminator loss: 0.535383, acc: 0.703125] [adversarial loss: 1.276188, acc: 0.218750] 8114: [discriminator loss: 0.517361, acc: 0.765625] [adversarial loss: 0.945162, acc: 0.390625] 8115: [discriminator loss: 0.545165, acc: 0.710938] [adversarial loss: 1.344841, acc: 0.109375] 8116: [discriminator loss: 0.565587, acc: 0.695312] [adversarial loss: 0.889650, acc: 0.421875] 8117: [discriminator loss: 0.547559, acc: 0.671875] [adversarial loss: 1.609556, acc: 0.093750] 8118: [discriminator loss: 0.579429, acc: 0.679688] [adversarial loss: 0.824761, acc: 0.515625] 8119: [discriminator loss: 0.628255, acc: 0.648438] [adversarial loss: 1.289687, acc: 0.187500] 8120: [discriminator loss: 0.625225, acc: 0.617188] [adversarial loss: 1.098244, acc: 0.328125] 8121: [discriminator loss: 0.562958, acc: 0.687500] [adversarial loss: 1.244463, acc: 0.156250] 8122: [discriminator loss: 0.571412, acc: 0.687500] [adversarial loss: 0.952428, acc: 0.375000] 8123: [discriminator loss: 0.485486, acc: 0.742188] [adversarial loss: 1.218122, acc: 0.156250] 8124: [discriminator loss: 0.670356, acc: 0.609375] [adversarial loss: 1.235782, acc: 0.218750] 8125: [discriminator loss: 0.505663, acc: 0.734375] [adversarial loss: 1.069746, acc: 0.234375] 8126: [discriminator loss: 0.503960, acc: 0.750000] [adversarial loss: 1.268675, acc: 0.203125] 8127: [discriminator loss: 0.546412, acc: 0.703125] [adversarial loss: 1.235154, acc: 0.234375] 8128: [discriminator loss: 0.552462, acc: 0.648438] [adversarial loss: 1.072961, acc: 0.281250] 8129: [discriminator loss: 0.537608, acc: 0.695312] [adversarial loss: 1.430934, acc: 0.140625] 8130: [discriminator loss: 0.529968, acc: 0.695312] [adversarial loss: 0.882638, acc: 0.437500] 8131: [discriminator loss: 0.545190, acc: 0.734375] [adversarial loss: 1.552662, acc: 0.109375] 8132: [discriminator loss: 0.608168, acc: 0.632812] [adversarial loss: 0.817105, acc: 0.468750] 8133: [discriminator loss: 0.569146, acc: 0.695312] [adversarial loss: 1.228088, acc: 0.234375] 8134: [discriminator loss: 0.571619, acc: 0.695312] [adversarial loss: 1.112344, acc: 0.218750] 8135: [discriminator loss: 0.576902, acc: 0.710938] [adversarial loss: 1.380769, acc: 0.187500] 8136: [discriminator loss: 0.571561, acc: 0.695312] [adversarial loss: 0.947064, acc: 0.281250] 8137: [discriminator loss: 0.600177, acc: 0.710938] [adversarial loss: 1.102622, acc: 0.265625] 8138: [discriminator loss: 0.546832, acc: 0.718750] [adversarial loss: 0.942831, acc: 0.312500] 8139: [discriminator loss: 0.516413, acc: 0.726562] [adversarial loss: 1.326580, acc: 0.140625] 8140: [discriminator loss: 0.583391, acc: 0.679688] [adversarial loss: 1.001330, acc: 0.265625] 8141: [discriminator loss: 0.547512, acc: 0.695312] [adversarial loss: 1.135147, acc: 0.218750] 8142: [discriminator loss: 0.549690, acc: 0.703125] [adversarial loss: 0.838325, acc: 0.468750] 8143: [discriminator loss: 0.564268, acc: 0.687500] [adversarial loss: 1.212597, acc: 0.156250] 8144: [discriminator loss: 0.533212, acc: 0.742188] [adversarial loss: 1.238917, acc: 0.203125] 8145: [discriminator loss: 0.562290, acc: 0.664062] [adversarial loss: 1.110390, acc: 0.328125] 8146: [discriminator loss: 0.480264, acc: 0.765625] [adversarial loss: 1.092185, acc: 0.312500] 8147: [discriminator loss: 0.573723, acc: 0.703125] [adversarial loss: 1.176476, acc: 0.265625] 8148: [discriminator loss: 0.524429, acc: 0.734375] [adversarial loss: 0.963978, acc: 0.375000] 8149: [discriminator loss: 0.590129, acc: 0.703125] [adversarial loss: 1.408577, acc: 0.171875] 8150: [discriminator loss: 0.510844, acc: 0.734375] [adversarial loss: 1.040747, acc: 0.312500] 8151: [discriminator loss: 0.541024, acc: 0.734375] [adversarial loss: 1.062397, acc: 0.359375] 8152: [discriminator loss: 0.605417, acc: 0.671875] [adversarial loss: 1.029044, acc: 0.343750] 8153: [discriminator loss: 0.558136, acc: 0.703125] [adversarial loss: 1.332773, acc: 0.156250] 8154: [discriminator loss: 0.529637, acc: 0.757812] [adversarial loss: 1.289631, acc: 0.187500] 8155: [discriminator loss: 0.532618, acc: 0.710938] [adversarial loss: 0.874520, acc: 0.468750] 8156: [discriminator loss: 0.573964, acc: 0.734375] [adversarial loss: 1.502897, acc: 0.109375] 8157: [discriminator loss: 0.601014, acc: 0.710938] [adversarial loss: 0.697954, acc: 0.625000] 8158: [discriminator loss: 0.590395, acc: 0.710938] [adversarial loss: 1.587439, acc: 0.093750] 8159: [discriminator loss: 0.641592, acc: 0.640625] [adversarial loss: 0.914257, acc: 0.375000] 8160: [discriminator loss: 0.547119, acc: 0.710938] [adversarial loss: 1.125287, acc: 0.265625] 8161: [discriminator loss: 0.544639, acc: 0.750000] [adversarial loss: 1.468203, acc: 0.156250] 8162: [discriminator loss: 0.558650, acc: 0.750000] [adversarial loss: 0.837558, acc: 0.484375] 8163: [discriminator loss: 0.581987, acc: 0.703125] [adversarial loss: 1.499420, acc: 0.171875] 8164: [discriminator loss: 0.633674, acc: 0.609375] [adversarial loss: 0.975210, acc: 0.390625] 8165: [discriminator loss: 0.513747, acc: 0.734375] [adversarial loss: 1.334539, acc: 0.140625] 8166: [discriminator loss: 0.553992, acc: 0.718750] [adversarial loss: 0.895144, acc: 0.296875] 8167: [discriminator loss: 0.573434, acc: 0.679688] [adversarial loss: 1.464402, acc: 0.171875] 8168: [discriminator loss: 0.542517, acc: 0.687500] [adversarial loss: 0.784572, acc: 0.515625] 8169: [discriminator loss: 0.552832, acc: 0.765625] [adversarial loss: 1.409819, acc: 0.203125] 8170: [discriminator loss: 0.582245, acc: 0.687500] [adversarial loss: 1.087727, acc: 0.250000] 8171: [discriminator loss: 0.517456, acc: 0.781250] [adversarial loss: 1.435519, acc: 0.140625] 8172: [discriminator loss: 0.584192, acc: 0.656250] [adversarial loss: 0.691415, acc: 0.609375] 8173: [discriminator loss: 0.616840, acc: 0.703125] [adversarial loss: 1.411491, acc: 0.109375] 8174: [discriminator loss: 0.593011, acc: 0.671875] [adversarial loss: 0.919471, acc: 0.359375] 8175: [discriminator loss: 0.535480, acc: 0.734375] [adversarial loss: 1.248137, acc: 0.187500] 8176: [discriminator loss: 0.557847, acc: 0.718750] [adversarial loss: 0.979054, acc: 0.359375] 8177: [discriminator loss: 0.578184, acc: 0.687500] [adversarial loss: 1.345241, acc: 0.140625] 8178: [discriminator loss: 0.626691, acc: 0.640625] [adversarial loss: 1.019507, acc: 0.312500] 8179: [discriminator loss: 0.466512, acc: 0.757812] [adversarial loss: 1.096699, acc: 0.265625] 8180: [discriminator loss: 0.605029, acc: 0.625000] [adversarial loss: 1.136586, acc: 0.250000] 8181: [discriminator loss: 0.574907, acc: 0.695312] [adversarial loss: 1.132365, acc: 0.250000] 8182: [discriminator loss: 0.589991, acc: 0.671875] [adversarial loss: 1.319393, acc: 0.218750] 8183: [discriminator loss: 0.530253, acc: 0.726562] [adversarial loss: 1.210954, acc: 0.218750] 8184: [discriminator loss: 0.497856, acc: 0.726562] [adversarial loss: 1.286961, acc: 0.187500] 8185: [discriminator loss: 0.562260, acc: 0.687500] [adversarial loss: 1.155171, acc: 0.234375] 8186: [discriminator loss: 0.529496, acc: 0.757812] [adversarial loss: 1.241636, acc: 0.093750] 8187: [discriminator loss: 0.528519, acc: 0.734375] [adversarial loss: 1.148510, acc: 0.281250] 8188: [discriminator loss: 0.491773, acc: 0.742188] [adversarial loss: 1.269762, acc: 0.187500] 8189: [discriminator loss: 0.512747, acc: 0.773438] [adversarial loss: 1.223692, acc: 0.171875] 8190: [discriminator loss: 0.496931, acc: 0.781250] [adversarial loss: 1.286315, acc: 0.171875] 8191: [discriminator loss: 0.604286, acc: 0.687500] [adversarial loss: 1.013796, acc: 0.296875] 8192: [discriminator loss: 0.527969, acc: 0.710938] [adversarial loss: 1.155949, acc: 0.343750] 8193: [discriminator loss: 0.521923, acc: 0.742188] [adversarial loss: 1.163095, acc: 0.203125] 8194: [discriminator loss: 0.522600, acc: 0.773438] [adversarial loss: 0.995135, acc: 0.406250] 8195: [discriminator loss: 0.521531, acc: 0.726562] [adversarial loss: 1.531151, acc: 0.125000] 8196: [discriminator loss: 0.601306, acc: 0.648438] [adversarial loss: 1.027183, acc: 0.375000] 8197: [discriminator loss: 0.550398, acc: 0.726562] [adversarial loss: 1.420380, acc: 0.203125] 8198: [discriminator loss: 0.526007, acc: 0.687500] [adversarial loss: 1.036928, acc: 0.328125] 8199: [discriminator loss: 0.524261, acc: 0.742188] [adversarial loss: 0.896537, acc: 0.453125] 8200: [discriminator loss: 0.604971, acc: 0.648438] [adversarial loss: 1.461056, acc: 0.125000] 8201: [discriminator loss: 0.554141, acc: 0.710938] [adversarial loss: 1.079465, acc: 0.328125] 8202: [discriminator loss: 0.521586, acc: 0.750000] [adversarial loss: 1.349595, acc: 0.156250] 8203: [discriminator loss: 0.517527, acc: 0.757812] [adversarial loss: 1.182505, acc: 0.156250] 8204: [discriminator loss: 0.489460, acc: 0.734375] [adversarial loss: 1.213108, acc: 0.250000] 8205: [discriminator loss: 0.571690, acc: 0.671875] [adversarial loss: 1.239735, acc: 0.187500] 8206: [discriminator loss: 0.552244, acc: 0.703125] [adversarial loss: 1.044061, acc: 0.390625] 8207: [discriminator loss: 0.514191, acc: 0.742188] [adversarial loss: 1.428672, acc: 0.187500] 8208: [discriminator loss: 0.583471, acc: 0.664062] [adversarial loss: 1.066252, acc: 0.328125] 8209: [discriminator loss: 0.566337, acc: 0.687500] [adversarial loss: 1.365986, acc: 0.203125] 8210: [discriminator loss: 0.489538, acc: 0.781250] [adversarial loss: 1.171760, acc: 0.312500] 8211: [discriminator loss: 0.548741, acc: 0.695312] [adversarial loss: 1.314158, acc: 0.218750] 8212: [discriminator loss: 0.542719, acc: 0.734375] [adversarial loss: 0.791487, acc: 0.468750] 8213: [discriminator loss: 0.602098, acc: 0.648438] [adversarial loss: 1.750419, acc: 0.031250] 8214: [discriminator loss: 0.620607, acc: 0.648438] [adversarial loss: 0.846554, acc: 0.484375] 8215: [discriminator loss: 0.587285, acc: 0.687500] [adversarial loss: 1.439235, acc: 0.156250] 8216: [discriminator loss: 0.573869, acc: 0.695312] [adversarial loss: 1.040938, acc: 0.312500] 8217: [discriminator loss: 0.592174, acc: 0.703125] [adversarial loss: 1.090771, acc: 0.187500] 8218: [discriminator loss: 0.506805, acc: 0.750000] [adversarial loss: 1.330227, acc: 0.125000] 8219: [discriminator loss: 0.548223, acc: 0.703125] [adversarial loss: 1.058284, acc: 0.281250] 8220: [discriminator loss: 0.556791, acc: 0.718750] [adversarial loss: 1.142328, acc: 0.250000] 8221: [discriminator loss: 0.556803, acc: 0.718750] [adversarial loss: 0.917382, acc: 0.421875] 8222: [discriminator loss: 0.547273, acc: 0.742188] [adversarial loss: 1.344653, acc: 0.171875] 8223: [discriminator loss: 0.519436, acc: 0.750000] [adversarial loss: 0.927596, acc: 0.328125] 8224: [discriminator loss: 0.586501, acc: 0.734375] [adversarial loss: 1.285068, acc: 0.203125] 8225: [discriminator loss: 0.517616, acc: 0.742188] [adversarial loss: 0.974479, acc: 0.343750] 8226: [discriminator loss: 0.639215, acc: 0.656250] [adversarial loss: 1.423338, acc: 0.109375] 8227: [discriminator loss: 0.495207, acc: 0.742188] [adversarial loss: 0.952030, acc: 0.359375] 8228: [discriminator loss: 0.578030, acc: 0.679688] [adversarial loss: 1.604219, acc: 0.109375] 8229: [discriminator loss: 0.573999, acc: 0.703125] [adversarial loss: 0.851234, acc: 0.390625] 8230: [discriminator loss: 0.484408, acc: 0.773438] [adversarial loss: 1.061121, acc: 0.281250] 8231: [discriminator loss: 0.609710, acc: 0.679688] [adversarial loss: 1.409029, acc: 0.171875] 8232: [discriminator loss: 0.586410, acc: 0.664062] [adversarial loss: 1.067930, acc: 0.296875] 8233: [discriminator loss: 0.470942, acc: 0.796875] [adversarial loss: 1.105085, acc: 0.250000] 8234: [discriminator loss: 0.513998, acc: 0.742188] [adversarial loss: 1.085597, acc: 0.328125] 8235: [discriminator loss: 0.547465, acc: 0.687500] [adversarial loss: 1.080679, acc: 0.343750] 8236: [discriminator loss: 0.552768, acc: 0.710938] [adversarial loss: 1.618783, acc: 0.093750] 8237: [discriminator loss: 0.600551, acc: 0.710938] [adversarial loss: 0.945569, acc: 0.390625] 8238: [discriminator loss: 0.576404, acc: 0.695312] [adversarial loss: 1.250071, acc: 0.171875] 8239: [discriminator loss: 0.544694, acc: 0.726562] [adversarial loss: 1.193888, acc: 0.218750] 8240: [discriminator loss: 0.584052, acc: 0.710938] [adversarial loss: 1.299366, acc: 0.171875] 8241: [discriminator loss: 0.654138, acc: 0.625000] [adversarial loss: 0.920066, acc: 0.328125] 8242: [discriminator loss: 0.551531, acc: 0.710938] [adversarial loss: 1.332522, acc: 0.203125] 8243: [discriminator loss: 0.548370, acc: 0.734375] [adversarial loss: 0.957008, acc: 0.359375] 8244: [discriminator loss: 0.523804, acc: 0.710938] [adversarial loss: 1.238442, acc: 0.203125] 8245: [discriminator loss: 0.555781, acc: 0.734375] [adversarial loss: 1.030099, acc: 0.296875] 8246: [discriminator loss: 0.543295, acc: 0.710938] [adversarial loss: 1.398152, acc: 0.187500] 8247: [discriminator loss: 0.557630, acc: 0.687500] [adversarial loss: 1.092395, acc: 0.203125] 8248: [discriminator loss: 0.546766, acc: 0.718750] [adversarial loss: 1.027621, acc: 0.312500] 8249: [discriminator loss: 0.486653, acc: 0.820312] [adversarial loss: 1.079358, acc: 0.250000] 8250: [discriminator loss: 0.579328, acc: 0.695312] [adversarial loss: 1.531332, acc: 0.078125] 8251: [discriminator loss: 0.602987, acc: 0.656250] [adversarial loss: 0.685614, acc: 0.609375] 8252: [discriminator loss: 0.563587, acc: 0.679688] [adversarial loss: 1.776788, acc: 0.125000] 8253: [discriminator loss: 0.530713, acc: 0.710938] [adversarial loss: 1.105110, acc: 0.375000] 8254: [discriminator loss: 0.654204, acc: 0.656250] [adversarial loss: 1.356026, acc: 0.187500] 8255: [discriminator loss: 0.561930, acc: 0.718750] [adversarial loss: 0.813205, acc: 0.453125] 8256: [discriminator loss: 0.582877, acc: 0.679688] [adversarial loss: 1.433378, acc: 0.125000] 8257: [discriminator loss: 0.524160, acc: 0.718750] [adversarial loss: 0.976329, acc: 0.375000] 8258: [discriminator loss: 0.500828, acc: 0.781250] [adversarial loss: 1.048550, acc: 0.265625] 8259: [discriminator loss: 0.585163, acc: 0.648438] [adversarial loss: 1.131955, acc: 0.265625] 8260: [discriminator loss: 0.578914, acc: 0.656250] [adversarial loss: 0.918183, acc: 0.406250] 8261: [discriminator loss: 0.516509, acc: 0.742188] [adversarial loss: 1.376624, acc: 0.156250] 8262: [discriminator loss: 0.558097, acc: 0.679688] [adversarial loss: 0.846741, acc: 0.500000] 8263: [discriminator loss: 0.582430, acc: 0.695312] [adversarial loss: 1.111472, acc: 0.187500] 8264: [discriminator loss: 0.576787, acc: 0.695312] [adversarial loss: 1.325840, acc: 0.218750] 8265: [discriminator loss: 0.570597, acc: 0.703125] [adversarial loss: 1.241655, acc: 0.234375] 8266: [discriminator loss: 0.559263, acc: 0.695312] [adversarial loss: 1.054725, acc: 0.296875] 8267: [discriminator loss: 0.536831, acc: 0.734375] [adversarial loss: 1.135264, acc: 0.187500] 8268: [discriminator loss: 0.561028, acc: 0.718750] [adversarial loss: 1.417904, acc: 0.062500] 8269: [discriminator loss: 0.543706, acc: 0.726562] [adversarial loss: 1.035032, acc: 0.281250] 8270: [discriminator loss: 0.612735, acc: 0.648438] [adversarial loss: 1.458574, acc: 0.156250] 8271: [discriminator loss: 0.584378, acc: 0.656250] [adversarial loss: 0.743909, acc: 0.546875] 8272: [discriminator loss: 0.547864, acc: 0.703125] [adversarial loss: 1.191082, acc: 0.234375] 8273: [discriminator loss: 0.521281, acc: 0.781250] [adversarial loss: 1.008970, acc: 0.343750] 8274: [discriminator loss: 0.535420, acc: 0.742188] [adversarial loss: 1.060913, acc: 0.343750] 8275: [discriminator loss: 0.566187, acc: 0.671875] [adversarial loss: 1.150799, acc: 0.187500] 8276: [discriminator loss: 0.546471, acc: 0.734375] [adversarial loss: 1.178233, acc: 0.218750] 8277: [discriminator loss: 0.529513, acc: 0.742188] [adversarial loss: 0.969984, acc: 0.390625] 8278: [discriminator loss: 0.540658, acc: 0.695312] [adversarial loss: 1.213836, acc: 0.296875] 8279: [discriminator loss: 0.580659, acc: 0.710938] [adversarial loss: 1.174554, acc: 0.250000] 8280: [discriminator loss: 0.530826, acc: 0.742188] [adversarial loss: 1.115178, acc: 0.234375] 8281: [discriminator loss: 0.446221, acc: 0.789062] [adversarial loss: 1.113040, acc: 0.203125] 8282: [discriminator loss: 0.542114, acc: 0.726562] [adversarial loss: 1.016825, acc: 0.406250] 8283: [discriminator loss: 0.542642, acc: 0.742188] [adversarial loss: 1.052537, acc: 0.328125] 8284: [discriminator loss: 0.570760, acc: 0.687500] [adversarial loss: 1.741831, acc: 0.031250] 8285: [discriminator loss: 0.667687, acc: 0.648438] [adversarial loss: 0.720692, acc: 0.593750] 8286: [discriminator loss: 0.535927, acc: 0.765625] [adversarial loss: 1.574113, acc: 0.156250] 8287: [discriminator loss: 0.600507, acc: 0.664062] [adversarial loss: 0.992195, acc: 0.343750] 8288: [discriminator loss: 0.578356, acc: 0.687500] [adversarial loss: 1.341578, acc: 0.140625] 8289: [discriminator loss: 0.414023, acc: 0.820312] [adversarial loss: 1.431067, acc: 0.125000] 8290: [discriminator loss: 0.486179, acc: 0.781250] [adversarial loss: 0.947873, acc: 0.406250] 8291: [discriminator loss: 0.494564, acc: 0.734375] [adversarial loss: 1.372140, acc: 0.078125] 8292: [discriminator loss: 0.511144, acc: 0.726562] [adversarial loss: 1.280826, acc: 0.265625] 8293: [discriminator loss: 0.626083, acc: 0.664062] [adversarial loss: 1.248953, acc: 0.171875] 8294: [discriminator loss: 0.532767, acc: 0.750000] [adversarial loss: 0.911179, acc: 0.437500] 8295: [discriminator loss: 0.514108, acc: 0.765625] [adversarial loss: 1.412677, acc: 0.156250] 8296: [discriminator loss: 0.477728, acc: 0.750000] [adversarial loss: 0.949835, acc: 0.421875] 8297: [discriminator loss: 0.568393, acc: 0.687500] [adversarial loss: 1.307892, acc: 0.203125] 8298: [discriminator loss: 0.584859, acc: 0.656250] [adversarial loss: 1.116568, acc: 0.250000] 8299: [discriminator loss: 0.568124, acc: 0.742188] [adversarial loss: 1.520283, acc: 0.078125] 8300: [discriminator loss: 0.558887, acc: 0.726562] [adversarial loss: 0.877449, acc: 0.390625] 8301: [discriminator loss: 0.556522, acc: 0.718750] [adversarial loss: 1.650565, acc: 0.140625] 8302: [discriminator loss: 0.654870, acc: 0.609375] [adversarial loss: 0.790064, acc: 0.593750] 8303: [discriminator loss: 0.566631, acc: 0.671875] [adversarial loss: 1.629873, acc: 0.140625] 8304: [discriminator loss: 0.579569, acc: 0.664062] [adversarial loss: 0.881712, acc: 0.328125] 8305: [discriminator loss: 0.592291, acc: 0.703125] [adversarial loss: 1.344047, acc: 0.156250] 8306: [discriminator loss: 0.541854, acc: 0.726562] [adversarial loss: 0.940681, acc: 0.406250] 8307: [discriminator loss: 0.582042, acc: 0.695312] [adversarial loss: 1.356713, acc: 0.156250] 8308: [discriminator loss: 0.602617, acc: 0.664062] [adversarial loss: 0.952650, acc: 0.375000] 8309: [discriminator loss: 0.555702, acc: 0.726562] [adversarial loss: 1.157415, acc: 0.218750] 8310: [discriminator loss: 0.525061, acc: 0.703125] [adversarial loss: 0.936844, acc: 0.375000] 8311: [discriminator loss: 0.551225, acc: 0.718750] [adversarial loss: 1.655628, acc: 0.125000] 8312: [discriminator loss: 0.537115, acc: 0.718750] [adversarial loss: 1.000218, acc: 0.390625] 8313: [discriminator loss: 0.519233, acc: 0.734375] [adversarial loss: 1.476123, acc: 0.093750] 8314: [discriminator loss: 0.622374, acc: 0.671875] [adversarial loss: 1.003406, acc: 0.359375] 8315: [discriminator loss: 0.565523, acc: 0.687500] [adversarial loss: 1.406343, acc: 0.156250] 8316: [discriminator loss: 0.544609, acc: 0.742188] [adversarial loss: 1.043463, acc: 0.312500] 8317: [discriminator loss: 0.564683, acc: 0.671875] [adversarial loss: 1.363833, acc: 0.125000] 8318: [discriminator loss: 0.496249, acc: 0.757812] [adversarial loss: 0.972052, acc: 0.406250] 8319: [discriminator loss: 0.509021, acc: 0.773438] [adversarial loss: 1.322403, acc: 0.187500] 8320: [discriminator loss: 0.592422, acc: 0.632812] [adversarial loss: 1.265224, acc: 0.234375] 8321: [discriminator loss: 0.513241, acc: 0.773438] [adversarial loss: 1.261556, acc: 0.140625] 8322: [discriminator loss: 0.536378, acc: 0.718750] [adversarial loss: 1.023342, acc: 0.296875] 8323: [discriminator loss: 0.589466, acc: 0.671875] [adversarial loss: 1.268629, acc: 0.234375] 8324: [discriminator loss: 0.534387, acc: 0.710938] [adversarial loss: 0.970187, acc: 0.359375] 8325: [discriminator loss: 0.570180, acc: 0.710938] [adversarial loss: 1.329760, acc: 0.140625] 8326: [discriminator loss: 0.521129, acc: 0.750000] [adversarial loss: 1.298045, acc: 0.156250] 8327: [discriminator loss: 0.447087, acc: 0.812500] [adversarial loss: 0.948747, acc: 0.375000] 8328: [discriminator loss: 0.572410, acc: 0.734375] [adversarial loss: 1.673224, acc: 0.140625] 8329: [discriminator loss: 0.596222, acc: 0.695312] [adversarial loss: 0.859508, acc: 0.468750] 8330: [discriminator loss: 0.592221, acc: 0.734375] [adversarial loss: 1.317459, acc: 0.140625] 8331: [discriminator loss: 0.616726, acc: 0.703125] [adversarial loss: 0.880261, acc: 0.453125] 8332: [discriminator loss: 0.521195, acc: 0.750000] [adversarial loss: 1.314331, acc: 0.187500] 8333: [discriminator loss: 0.474600, acc: 0.742188] [adversarial loss: 1.088593, acc: 0.250000] 8334: [discriminator loss: 0.517760, acc: 0.742188] [adversarial loss: 1.125398, acc: 0.375000] 8335: [discriminator loss: 0.593265, acc: 0.695312] [adversarial loss: 1.241600, acc: 0.187500] 8336: [discriminator loss: 0.607649, acc: 0.640625] [adversarial loss: 1.268134, acc: 0.171875] 8337: [discriminator loss: 0.488408, acc: 0.781250] [adversarial loss: 1.101959, acc: 0.312500] 8338: [discriminator loss: 0.494754, acc: 0.773438] [adversarial loss: 1.096528, acc: 0.312500] 8339: [discriminator loss: 0.561733, acc: 0.687500] [adversarial loss: 1.476429, acc: 0.109375] 8340: [discriminator loss: 0.515889, acc: 0.703125] [adversarial loss: 1.065765, acc: 0.265625] 8341: [discriminator loss: 0.636456, acc: 0.625000] [adversarial loss: 1.428706, acc: 0.093750] 8342: [discriminator loss: 0.568509, acc: 0.679688] [adversarial loss: 0.698189, acc: 0.625000] 8343: [discriminator loss: 0.592997, acc: 0.695312] [adversarial loss: 1.439067, acc: 0.093750] 8344: [discriminator loss: 0.607129, acc: 0.640625] [adversarial loss: 0.803924, acc: 0.421875] 8345: [discriminator loss: 0.572368, acc: 0.695312] [adversarial loss: 1.344396, acc: 0.171875] 8346: [discriminator loss: 0.553160, acc: 0.765625] [adversarial loss: 0.955332, acc: 0.375000] 8347: [discriminator loss: 0.483064, acc: 0.765625] [adversarial loss: 1.299710, acc: 0.234375] 8348: [discriminator loss: 0.500643, acc: 0.703125] [adversarial loss: 0.922162, acc: 0.406250] 8349: [discriminator loss: 0.550228, acc: 0.726562] [adversarial loss: 1.124925, acc: 0.281250] 8350: [discriminator loss: 0.514688, acc: 0.734375] [adversarial loss: 1.187174, acc: 0.234375] 8351: [discriminator loss: 0.562155, acc: 0.742188] [adversarial loss: 0.924571, acc: 0.437500] 8352: [discriminator loss: 0.534318, acc: 0.695312] [adversarial loss: 1.412905, acc: 0.109375] 8353: [discriminator loss: 0.500501, acc: 0.757812] [adversarial loss: 0.943583, acc: 0.343750] 8354: [discriminator loss: 0.589760, acc: 0.718750] [adversarial loss: 1.327615, acc: 0.125000] 8355: [discriminator loss: 0.639900, acc: 0.687500] [adversarial loss: 0.983301, acc: 0.375000] 8356: [discriminator loss: 0.526703, acc: 0.765625] [adversarial loss: 1.425322, acc: 0.171875] 8357: [discriminator loss: 0.468938, acc: 0.789062] [adversarial loss: 1.055354, acc: 0.343750] 8358: [discriminator loss: 0.549276, acc: 0.734375] [adversarial loss: 1.217434, acc: 0.156250] 8359: [discriminator loss: 0.601513, acc: 0.671875] [adversarial loss: 1.203915, acc: 0.218750] 8360: [discriminator loss: 0.538594, acc: 0.695312] [adversarial loss: 1.132183, acc: 0.296875] 8361: [discriminator loss: 0.478030, acc: 0.773438] [adversarial loss: 1.421119, acc: 0.187500] 8362: [discriminator loss: 0.565861, acc: 0.726562] [adversarial loss: 0.872292, acc: 0.406250] 8363: [discriminator loss: 0.537891, acc: 0.695312] [adversarial loss: 1.562057, acc: 0.093750] 8364: [discriminator loss: 0.589439, acc: 0.687500] [adversarial loss: 0.896739, acc: 0.437500] 8365: [discriminator loss: 0.547401, acc: 0.726562] [adversarial loss: 1.444906, acc: 0.156250] 8366: [discriminator loss: 0.590822, acc: 0.687500] [adversarial loss: 1.001364, acc: 0.375000] 8367: [discriminator loss: 0.662397, acc: 0.640625] [adversarial loss: 1.210669, acc: 0.156250] 8368: [discriminator loss: 0.530441, acc: 0.695312] [adversarial loss: 0.895702, acc: 0.515625] 8369: [discriminator loss: 0.551679, acc: 0.750000] [adversarial loss: 1.172430, acc: 0.218750] 8370: [discriminator loss: 0.607164, acc: 0.601562] [adversarial loss: 1.005439, acc: 0.328125] 8371: [discriminator loss: 0.469592, acc: 0.773438] [adversarial loss: 1.437051, acc: 0.156250] 8372: [discriminator loss: 0.555596, acc: 0.742188] [adversarial loss: 0.760106, acc: 0.515625] 8373: [discriminator loss: 0.593063, acc: 0.664062] [adversarial loss: 1.586197, acc: 0.093750] 8374: [discriminator loss: 0.609171, acc: 0.664062] [adversarial loss: 0.957620, acc: 0.453125] 8375: [discriminator loss: 0.533793, acc: 0.750000] [adversarial loss: 1.595110, acc: 0.109375] 8376: [discriminator loss: 0.551273, acc: 0.710938] [adversarial loss: 0.981361, acc: 0.359375] 8377: [discriminator loss: 0.559751, acc: 0.734375] [adversarial loss: 1.481552, acc: 0.140625] 8378: [discriminator loss: 0.597115, acc: 0.695312] [adversarial loss: 0.774455, acc: 0.546875] 8379: [discriminator loss: 0.576265, acc: 0.695312] [adversarial loss: 1.156615, acc: 0.250000] 8380: [discriminator loss: 0.505202, acc: 0.742188] [adversarial loss: 0.975872, acc: 0.375000] 8381: [discriminator loss: 0.490528, acc: 0.765625] [adversarial loss: 1.042729, acc: 0.312500] 8382: [discriminator loss: 0.612343, acc: 0.718750] [adversarial loss: 1.419377, acc: 0.125000] 8383: [discriminator loss: 0.502708, acc: 0.734375] [adversarial loss: 1.174048, acc: 0.281250] 8384: [discriminator loss: 0.548621, acc: 0.703125] [adversarial loss: 1.314202, acc: 0.125000] 8385: [discriminator loss: 0.496675, acc: 0.726562] [adversarial loss: 1.041949, acc: 0.296875] 8386: [discriminator loss: 0.594075, acc: 0.679688] [adversarial loss: 0.975293, acc: 0.296875] 8387: [discriminator loss: 0.585013, acc: 0.718750] [adversarial loss: 1.201737, acc: 0.234375] 8388: [discriminator loss: 0.582337, acc: 0.703125] [adversarial loss: 1.102950, acc: 0.265625] 8389: [discriminator loss: 0.571357, acc: 0.671875] [adversarial loss: 1.057448, acc: 0.390625] 8390: [discriminator loss: 0.545345, acc: 0.718750] [adversarial loss: 1.220325, acc: 0.265625] 8391: [discriminator loss: 0.600792, acc: 0.625000] [adversarial loss: 1.027339, acc: 0.265625] 8392: [discriminator loss: 0.514566, acc: 0.703125] [adversarial loss: 1.598533, acc: 0.140625] 8393: [discriminator loss: 0.504677, acc: 0.742188] [adversarial loss: 0.764552, acc: 0.562500] 8394: [discriminator loss: 0.625323, acc: 0.679688] [adversarial loss: 1.583135, acc: 0.125000] 8395: [discriminator loss: 0.623806, acc: 0.687500] [adversarial loss: 0.841717, acc: 0.406250] 8396: [discriminator loss: 0.533256, acc: 0.695312] [adversarial loss: 1.582519, acc: 0.078125] 8397: [discriminator loss: 0.545023, acc: 0.687500] [adversarial loss: 0.780437, acc: 0.468750] 8398: [discriminator loss: 0.551997, acc: 0.687500] [adversarial loss: 1.247178, acc: 0.171875] 8399: [discriminator loss: 0.589360, acc: 0.726562] [adversarial loss: 1.200975, acc: 0.250000] 8400: [discriminator loss: 0.505231, acc: 0.765625] [adversarial loss: 1.289042, acc: 0.218750] 8401: [discriminator loss: 0.557597, acc: 0.703125] [adversarial loss: 0.916441, acc: 0.453125] 8402: [discriminator loss: 0.608522, acc: 0.656250] [adversarial loss: 1.401218, acc: 0.140625] 8403: [discriminator loss: 0.506944, acc: 0.750000] [adversarial loss: 0.924042, acc: 0.390625] 8404: [discriminator loss: 0.541847, acc: 0.742188] [adversarial loss: 1.361905, acc: 0.187500] 8405: [discriminator loss: 0.597073, acc: 0.671875] [adversarial loss: 0.902615, acc: 0.453125] 8406: [discriminator loss: 0.673528, acc: 0.617188] [adversarial loss: 1.771867, acc: 0.031250] 8407: [discriminator loss: 0.564057, acc: 0.648438] [adversarial loss: 0.865390, acc: 0.390625] 8408: [discriminator loss: 0.555593, acc: 0.710938] [adversarial loss: 1.654123, acc: 0.078125] 8409: [discriminator loss: 0.595200, acc: 0.679688] [adversarial loss: 1.015790, acc: 0.296875] 8410: [discriminator loss: 0.511032, acc: 0.757812] [adversarial loss: 1.236850, acc: 0.171875] 8411: [discriminator loss: 0.521943, acc: 0.773438] [adversarial loss: 1.134648, acc: 0.265625] 8412: [discriminator loss: 0.552066, acc: 0.664062] [adversarial loss: 0.953224, acc: 0.390625] 8413: [discriminator loss: 0.600515, acc: 0.679688] [adversarial loss: 1.305276, acc: 0.218750] 8414: [discriminator loss: 0.597617, acc: 0.648438] [adversarial loss: 1.078085, acc: 0.265625] 8415: [discriminator loss: 0.567542, acc: 0.695312] [adversarial loss: 1.303488, acc: 0.187500] 8416: [discriminator loss: 0.525687, acc: 0.765625] [adversarial loss: 1.146088, acc: 0.296875] 8417: [discriminator loss: 0.549657, acc: 0.687500] [adversarial loss: 1.146632, acc: 0.234375] 8418: [discriminator loss: 0.515301, acc: 0.750000] [adversarial loss: 1.181061, acc: 0.234375] 8419: [discriminator loss: 0.637434, acc: 0.648438] [adversarial loss: 1.087690, acc: 0.203125] 8420: [discriminator loss: 0.603777, acc: 0.632812] [adversarial loss: 1.078875, acc: 0.296875] 8421: [discriminator loss: 0.591741, acc: 0.703125] [adversarial loss: 1.209022, acc: 0.171875] 8422: [discriminator loss: 0.498151, acc: 0.757812] [adversarial loss: 1.004350, acc: 0.328125] 8423: [discriminator loss: 0.502083, acc: 0.796875] [adversarial loss: 1.125131, acc: 0.296875] 8424: [discriminator loss: 0.482185, acc: 0.757812] [adversarial loss: 1.193869, acc: 0.296875] 8425: [discriminator loss: 0.473763, acc: 0.765625] [adversarial loss: 1.544978, acc: 0.156250] 8426: [discriminator loss: 0.437089, acc: 0.781250] [adversarial loss: 0.922665, acc: 0.375000] 8427: [discriminator loss: 0.624940, acc: 0.656250] [adversarial loss: 1.522673, acc: 0.046875] 8428: [discriminator loss: 0.652713, acc: 0.632812] [adversarial loss: 0.879092, acc: 0.375000] 8429: [discriminator loss: 0.646310, acc: 0.679688] [adversarial loss: 1.721284, acc: 0.015625] 8430: [discriminator loss: 0.533977, acc: 0.750000] [adversarial loss: 0.948771, acc: 0.390625] 8431: [discriminator loss: 0.528209, acc: 0.703125] [adversarial loss: 1.129394, acc: 0.156250] 8432: [discriminator loss: 0.589409, acc: 0.703125] [adversarial loss: 1.093600, acc: 0.265625] 8433: [discriminator loss: 0.547340, acc: 0.710938] [adversarial loss: 1.227511, acc: 0.265625] 8434: [discriminator loss: 0.570840, acc: 0.734375] [adversarial loss: 1.003692, acc: 0.328125] 8435: [discriminator loss: 0.567488, acc: 0.695312] [adversarial loss: 1.371232, acc: 0.140625] 8436: [discriminator loss: 0.502760, acc: 0.726562] [adversarial loss: 1.257782, acc: 0.171875] 8437: [discriminator loss: 0.566460, acc: 0.664062] [adversarial loss: 1.166877, acc: 0.250000] 8438: [discriminator loss: 0.516859, acc: 0.734375] [adversarial loss: 1.150311, acc: 0.250000] 8439: [discriminator loss: 0.510913, acc: 0.726562] [adversarial loss: 1.208665, acc: 0.234375] 8440: [discriminator loss: 0.592237, acc: 0.695312] [adversarial loss: 1.196019, acc: 0.234375] 8441: [discriminator loss: 0.475787, acc: 0.804688] [adversarial loss: 1.144966, acc: 0.265625] 8442: [discriminator loss: 0.549914, acc: 0.718750] [adversarial loss: 0.978259, acc: 0.421875] 8443: [discriminator loss: 0.536942, acc: 0.710938] [adversarial loss: 1.374277, acc: 0.203125] 8444: [discriminator loss: 0.572646, acc: 0.664062] [adversarial loss: 0.740120, acc: 0.656250] 8445: [discriminator loss: 0.579683, acc: 0.718750] [adversarial loss: 1.679440, acc: 0.093750] 8446: [discriminator loss: 0.647347, acc: 0.617188] [adversarial loss: 0.893803, acc: 0.500000] 8447: [discriminator loss: 0.624488, acc: 0.609375] [adversarial loss: 1.528667, acc: 0.109375] 8448: [discriminator loss: 0.581192, acc: 0.679688] [adversarial loss: 1.051409, acc: 0.234375] 8449: [discriminator loss: 0.554138, acc: 0.726562] [adversarial loss: 1.201528, acc: 0.203125] 8450: [discriminator loss: 0.488233, acc: 0.765625] [adversarial loss: 1.023213, acc: 0.312500] 8451: [discriminator loss: 0.586486, acc: 0.695312] [adversarial loss: 1.277747, acc: 0.234375] 8452: [discriminator loss: 0.566591, acc: 0.726562] [adversarial loss: 0.979373, acc: 0.343750] 8453: [discriminator loss: 0.529896, acc: 0.710938] [adversarial loss: 1.477776, acc: 0.140625] 8454: [discriminator loss: 0.528138, acc: 0.750000] [adversarial loss: 1.071815, acc: 0.265625] 8455: [discriminator loss: 0.569203, acc: 0.679688] [adversarial loss: 1.212431, acc: 0.171875] 8456: [discriminator loss: 0.585121, acc: 0.687500] [adversarial loss: 1.163829, acc: 0.250000] 8457: [discriminator loss: 0.529878, acc: 0.726562] [adversarial loss: 1.101230, acc: 0.296875] 8458: [discriminator loss: 0.608230, acc: 0.703125] [adversarial loss: 1.014869, acc: 0.375000] 8459: [discriminator loss: 0.531254, acc: 0.734375] [adversarial loss: 1.181297, acc: 0.218750] 8460: [discriminator loss: 0.505102, acc: 0.703125] [adversarial loss: 0.969319, acc: 0.328125] 8461: [discriminator loss: 0.604355, acc: 0.679688] [adversarial loss: 1.649390, acc: 0.093750] 8462: [discriminator loss: 0.592705, acc: 0.656250] [adversarial loss: 0.794691, acc: 0.562500] 8463: [discriminator loss: 0.580268, acc: 0.726562] [adversarial loss: 1.272960, acc: 0.171875] 8464: [discriminator loss: 0.613767, acc: 0.671875] [adversarial loss: 0.794135, acc: 0.437500] 8465: [discriminator loss: 0.550642, acc: 0.726562] [adversarial loss: 1.333110, acc: 0.140625] 8466: [discriminator loss: 0.572487, acc: 0.679688] [adversarial loss: 0.855743, acc: 0.375000] 8467: [discriminator loss: 0.530533, acc: 0.750000] [adversarial loss: 1.377492, acc: 0.140625] 8468: [discriminator loss: 0.529957, acc: 0.734375] [adversarial loss: 1.017207, acc: 0.250000] 8469: [discriminator loss: 0.522826, acc: 0.710938] [adversarial loss: 1.179226, acc: 0.203125] 8470: [discriminator loss: 0.606117, acc: 0.687500] [adversarial loss: 1.022625, acc: 0.296875] 8471: [discriminator loss: 0.559641, acc: 0.695312] [adversarial loss: 1.285734, acc: 0.171875] 8472: [discriminator loss: 0.563068, acc: 0.679688] [adversarial loss: 1.119600, acc: 0.265625] 8473: [discriminator loss: 0.565351, acc: 0.734375] [adversarial loss: 1.002902, acc: 0.343750] 8474: [discriminator loss: 0.586064, acc: 0.664062] [adversarial loss: 1.220825, acc: 0.218750] 8475: [discriminator loss: 0.540365, acc: 0.726562] [adversarial loss: 1.052118, acc: 0.265625] 8476: [discriminator loss: 0.627136, acc: 0.703125] [adversarial loss: 1.232697, acc: 0.234375] 8477: [discriminator loss: 0.567640, acc: 0.687500] [adversarial loss: 0.951085, acc: 0.375000] 8478: [discriminator loss: 0.559170, acc: 0.687500] [adversarial loss: 1.161833, acc: 0.218750] 8479: [discriminator loss: 0.537548, acc: 0.726562] [adversarial loss: 0.878928, acc: 0.484375] 8480: [discriminator loss: 0.557691, acc: 0.718750] [adversarial loss: 1.379745, acc: 0.140625] 8481: [discriminator loss: 0.557503, acc: 0.718750] [adversarial loss: 0.932627, acc: 0.265625] 8482: [discriminator loss: 0.500054, acc: 0.773438] [adversarial loss: 1.303155, acc: 0.265625] 8483: [discriminator loss: 0.515425, acc: 0.750000] [adversarial loss: 1.199650, acc: 0.250000] 8484: [discriminator loss: 0.500420, acc: 0.765625] [adversarial loss: 1.035956, acc: 0.328125] 8485: [discriminator loss: 0.564702, acc: 0.718750] [adversarial loss: 1.258615, acc: 0.265625] 8486: [discriminator loss: 0.553493, acc: 0.718750] [adversarial loss: 0.779065, acc: 0.484375] 8487: [discriminator loss: 0.564115, acc: 0.687500] [adversarial loss: 1.573964, acc: 0.046875] 8488: [discriminator loss: 0.525963, acc: 0.718750] [adversarial loss: 0.918133, acc: 0.343750] 8489: [discriminator loss: 0.651013, acc: 0.617188] [adversarial loss: 1.514129, acc: 0.015625] 8490: [discriminator loss: 0.535431, acc: 0.718750] [adversarial loss: 0.857825, acc: 0.343750] 8491: [discriminator loss: 0.641121, acc: 0.679688] [adversarial loss: 1.394711, acc: 0.140625] 8492: [discriminator loss: 0.568337, acc: 0.687500] [adversarial loss: 0.819111, acc: 0.421875] 8493: [discriminator loss: 0.596793, acc: 0.656250] [adversarial loss: 1.261939, acc: 0.140625] 8494: [discriminator loss: 0.545067, acc: 0.726562] [adversarial loss: 1.088485, acc: 0.250000] 8495: [discriminator loss: 0.497375, acc: 0.765625] [adversarial loss: 1.420897, acc: 0.171875] 8496: [discriminator loss: 0.578703, acc: 0.679688] [adversarial loss: 0.960430, acc: 0.312500] 8497: [discriminator loss: 0.543267, acc: 0.703125] [adversarial loss: 1.299206, acc: 0.203125] 8498: [discriminator loss: 0.607229, acc: 0.687500] [adversarial loss: 0.833119, acc: 0.437500] 8499: [discriminator loss: 0.603596, acc: 0.640625] [adversarial loss: 1.170059, acc: 0.250000] 8500: [discriminator loss: 0.618010, acc: 0.664062] [adversarial loss: 0.836784, acc: 0.484375] 8501: [discriminator loss: 0.612534, acc: 0.617188] [adversarial loss: 1.427635, acc: 0.109375] 8502: [discriminator loss: 0.594370, acc: 0.679688] [adversarial loss: 0.840794, acc: 0.406250] 8503: [discriminator loss: 0.575199, acc: 0.695312] [adversarial loss: 1.208662, acc: 0.109375] 8504: [discriminator loss: 0.495836, acc: 0.750000] [adversarial loss: 1.069030, acc: 0.328125] 8505: [discriminator loss: 0.582972, acc: 0.687500] [adversarial loss: 1.083618, acc: 0.343750] 8506: [discriminator loss: 0.480357, acc: 0.796875] [adversarial loss: 1.065368, acc: 0.281250] 8507: [discriminator loss: 0.600935, acc: 0.632812] [adversarial loss: 1.327646, acc: 0.156250] 8508: [discriminator loss: 0.611076, acc: 0.656250] [adversarial loss: 1.147491, acc: 0.250000] 8509: [discriminator loss: 0.492055, acc: 0.789062] [adversarial loss: 1.235690, acc: 0.203125] 8510: [discriminator loss: 0.569146, acc: 0.703125] [adversarial loss: 0.936069, acc: 0.312500] 8511: [discriminator loss: 0.517706, acc: 0.718750] [adversarial loss: 1.230501, acc: 0.171875] 8512: [discriminator loss: 0.635144, acc: 0.648438] [adversarial loss: 0.924418, acc: 0.359375] 8513: [discriminator loss: 0.511307, acc: 0.742188] [adversarial loss: 1.372327, acc: 0.156250] 8514: [discriminator loss: 0.531058, acc: 0.710938] [adversarial loss: 1.022557, acc: 0.328125] 8515: [discriminator loss: 0.569580, acc: 0.671875] [adversarial loss: 1.569109, acc: 0.125000] 8516: [discriminator loss: 0.597315, acc: 0.695312] [adversarial loss: 0.982629, acc: 0.359375] 8517: [discriminator loss: 0.488961, acc: 0.796875] [adversarial loss: 1.324517, acc: 0.171875] 8518: [discriminator loss: 0.543167, acc: 0.742188] [adversarial loss: 1.019697, acc: 0.265625] 8519: [discriminator loss: 0.450492, acc: 0.828125] [adversarial loss: 1.051530, acc: 0.265625] 8520: [discriminator loss: 0.456131, acc: 0.789062] [adversarial loss: 1.072533, acc: 0.312500] 8521: [discriminator loss: 0.526031, acc: 0.710938] [adversarial loss: 1.199434, acc: 0.218750] 8522: [discriminator loss: 0.595595, acc: 0.687500] [adversarial loss: 1.006613, acc: 0.343750] 8523: [discriminator loss: 0.567001, acc: 0.718750] [adversarial loss: 1.484036, acc: 0.093750] 8524: [discriminator loss: 0.590907, acc: 0.703125] [adversarial loss: 0.938854, acc: 0.359375] 8525: [discriminator loss: 0.521058, acc: 0.710938] [adversarial loss: 1.406826, acc: 0.156250] 8526: [discriminator loss: 0.608188, acc: 0.710938] [adversarial loss: 0.684988, acc: 0.593750] 8527: [discriminator loss: 0.570004, acc: 0.726562] [adversarial loss: 1.497669, acc: 0.109375] 8528: [discriminator loss: 0.526795, acc: 0.710938] [adversarial loss: 1.035423, acc: 0.265625] 8529: [discriminator loss: 0.587987, acc: 0.710938] [adversarial loss: 1.337486, acc: 0.125000] 8530: [discriminator loss: 0.550106, acc: 0.695312] [adversarial loss: 0.822302, acc: 0.484375] 8531: [discriminator loss: 0.590266, acc: 0.718750] [adversarial loss: 1.487812, acc: 0.156250] 8532: [discriminator loss: 0.657828, acc: 0.578125] [adversarial loss: 1.092420, acc: 0.281250] 8533: [discriminator loss: 0.526577, acc: 0.742188] [adversarial loss: 1.209785, acc: 0.218750] 8534: [discriminator loss: 0.543068, acc: 0.710938] [adversarial loss: 1.360903, acc: 0.140625] 8535: [discriminator loss: 0.584174, acc: 0.671875] [adversarial loss: 0.916408, acc: 0.359375] 8536: [discriminator loss: 0.613908, acc: 0.687500] [adversarial loss: 1.099060, acc: 0.265625] 8537: [discriminator loss: 0.631175, acc: 0.687500] [adversarial loss: 1.079003, acc: 0.359375] 8538: [discriminator loss: 0.534579, acc: 0.742188] [adversarial loss: 1.191406, acc: 0.234375] 8539: [discriminator loss: 0.521794, acc: 0.734375] [adversarial loss: 0.984036, acc: 0.375000] 8540: [discriminator loss: 0.533231, acc: 0.703125] [adversarial loss: 1.128394, acc: 0.312500] 8541: [discriminator loss: 0.497557, acc: 0.765625] [adversarial loss: 1.055379, acc: 0.343750] 8542: [discriminator loss: 0.526885, acc: 0.734375] [adversarial loss: 1.442334, acc: 0.218750] 8543: [discriminator loss: 0.623480, acc: 0.640625] [adversarial loss: 1.065055, acc: 0.296875] 8544: [discriminator loss: 0.556191, acc: 0.710938] [adversarial loss: 1.286781, acc: 0.265625] 8545: [discriminator loss: 0.626904, acc: 0.640625] [adversarial loss: 0.891214, acc: 0.406250] 8546: [discriminator loss: 0.566221, acc: 0.687500] [adversarial loss: 1.578954, acc: 0.140625] 8547: [discriminator loss: 0.597843, acc: 0.664062] [adversarial loss: 0.951435, acc: 0.281250] 8548: [discriminator loss: 0.584190, acc: 0.687500] [adversarial loss: 1.455012, acc: 0.171875] 8549: [discriminator loss: 0.548133, acc: 0.710938] [adversarial loss: 0.883792, acc: 0.375000] 8550: [discriminator loss: 0.550319, acc: 0.726562] [adversarial loss: 1.373327, acc: 0.125000] 8551: [discriminator loss: 0.580817, acc: 0.648438] [adversarial loss: 1.179621, acc: 0.171875] 8552: [discriminator loss: 0.490848, acc: 0.789062] [adversarial loss: 1.218801, acc: 0.218750] 8553: [discriminator loss: 0.536888, acc: 0.710938] [adversarial loss: 0.943142, acc: 0.312500] 8554: [discriminator loss: 0.559918, acc: 0.687500] [adversarial loss: 1.292776, acc: 0.171875] 8555: [discriminator loss: 0.568671, acc: 0.710938] [adversarial loss: 1.066319, acc: 0.328125] 8556: [discriminator loss: 0.611552, acc: 0.710938] [adversarial loss: 1.310970, acc: 0.125000] 8557: [discriminator loss: 0.563182, acc: 0.664062] [adversarial loss: 0.930320, acc: 0.375000] 8558: [discriminator loss: 0.537889, acc: 0.750000] [adversarial loss: 1.204879, acc: 0.171875] 8559: [discriminator loss: 0.599940, acc: 0.687500] [adversarial loss: 0.877002, acc: 0.390625] 8560: [discriminator loss: 0.500197, acc: 0.726562] [adversarial loss: 1.301651, acc: 0.203125] 8561: [discriminator loss: 0.542014, acc: 0.671875] [adversarial loss: 0.888517, acc: 0.453125] 8562: [discriminator loss: 0.638680, acc: 0.617188] [adversarial loss: 1.450124, acc: 0.140625] 8563: [discriminator loss: 0.570196, acc: 0.750000] [adversarial loss: 1.009722, acc: 0.343750] 8564: [discriminator loss: 0.530530, acc: 0.726562] [adversarial loss: 1.506494, acc: 0.140625] 8565: [discriminator loss: 0.500216, acc: 0.750000] [adversarial loss: 1.020538, acc: 0.265625] 8566: [discriminator loss: 0.579595, acc: 0.679688] [adversarial loss: 1.420942, acc: 0.140625] 8567: [discriminator loss: 0.541599, acc: 0.718750] [adversarial loss: 1.072346, acc: 0.234375] 8568: [discriminator loss: 0.528531, acc: 0.718750] [adversarial loss: 1.158988, acc: 0.234375] 8569: [discriminator loss: 0.581186, acc: 0.687500] [adversarial loss: 1.227326, acc: 0.203125] 8570: [discriminator loss: 0.572996, acc: 0.726562] [adversarial loss: 0.832109, acc: 0.421875] 8571: [discriminator loss: 0.591340, acc: 0.726562] [adversarial loss: 1.342121, acc: 0.093750] 8572: [discriminator loss: 0.513166, acc: 0.757812] [adversarial loss: 1.150834, acc: 0.265625] 8573: [discriminator loss: 0.515968, acc: 0.781250] [adversarial loss: 1.086991, acc: 0.312500] 8574: [discriminator loss: 0.545721, acc: 0.734375] [adversarial loss: 1.112072, acc: 0.234375] 8575: [discriminator loss: 0.550678, acc: 0.679688] [adversarial loss: 1.174278, acc: 0.218750] 8576: [discriminator loss: 0.540424, acc: 0.750000] [adversarial loss: 1.031275, acc: 0.328125] 8577: [discriminator loss: 0.534666, acc: 0.757812] [adversarial loss: 1.257802, acc: 0.156250] 8578: [discriminator loss: 0.501424, acc: 0.757812] [adversarial loss: 1.082420, acc: 0.218750] 8579: [discriminator loss: 0.469546, acc: 0.781250] [adversarial loss: 1.075726, acc: 0.281250] 8580: [discriminator loss: 0.611883, acc: 0.687500] [adversarial loss: 1.375713, acc: 0.234375] 8581: [discriminator loss: 0.544631, acc: 0.710938] [adversarial loss: 0.873496, acc: 0.453125] 8582: [discriminator loss: 0.534179, acc: 0.742188] [adversarial loss: 1.361909, acc: 0.171875] 8583: [discriminator loss: 0.582150, acc: 0.695312] [adversarial loss: 0.720812, acc: 0.437500] 8584: [discriminator loss: 0.700474, acc: 0.593750] [adversarial loss: 1.633571, acc: 0.093750] 8585: [discriminator loss: 0.602687, acc: 0.625000] [adversarial loss: 1.003260, acc: 0.296875] 8586: [discriminator loss: 0.555915, acc: 0.687500] [adversarial loss: 1.282705, acc: 0.187500] 8587: [discriminator loss: 0.514562, acc: 0.726562] [adversarial loss: 1.229582, acc: 0.265625] 8588: [discriminator loss: 0.561197, acc: 0.703125] [adversarial loss: 1.160488, acc: 0.265625] 8589: [discriminator loss: 0.532004, acc: 0.765625] [adversarial loss: 1.112989, acc: 0.250000] 8590: [discriminator loss: 0.542973, acc: 0.703125] [adversarial loss: 1.161418, acc: 0.203125] 8591: [discriminator loss: 0.555738, acc: 0.750000] [adversarial loss: 1.226020, acc: 0.171875] 8592: [discriminator loss: 0.496221, acc: 0.750000] [adversarial loss: 1.083259, acc: 0.312500] 8593: [discriminator loss: 0.586329, acc: 0.703125] [adversarial loss: 1.161638, acc: 0.265625] 8594: [discriminator loss: 0.526816, acc: 0.726562] [adversarial loss: 1.193005, acc: 0.250000] 8595: [discriminator loss: 0.561756, acc: 0.687500] [adversarial loss: 1.015065, acc: 0.312500] 8596: [discriminator loss: 0.608934, acc: 0.664062] [adversarial loss: 1.256166, acc: 0.171875] 8597: [discriminator loss: 0.515655, acc: 0.742188] [adversarial loss: 1.169918, acc: 0.171875] 8598: [discriminator loss: 0.550696, acc: 0.718750] [adversarial loss: 0.780608, acc: 0.468750] 8599: [discriminator loss: 0.632799, acc: 0.617188] [adversarial loss: 1.385609, acc: 0.093750] 8600: [discriminator loss: 0.526480, acc: 0.734375] [adversarial loss: 1.063516, acc: 0.234375] 8601: [discriminator loss: 0.589236, acc: 0.695312] [adversarial loss: 1.375569, acc: 0.140625] 8602: [discriminator loss: 0.522720, acc: 0.695312] [adversarial loss: 1.116730, acc: 0.171875] 8603: [discriminator loss: 0.577934, acc: 0.703125] [adversarial loss: 1.193609, acc: 0.218750] 8604: [discriminator loss: 0.561060, acc: 0.710938] [adversarial loss: 1.021664, acc: 0.250000] 8605: [discriminator loss: 0.584779, acc: 0.671875] [adversarial loss: 1.612237, acc: 0.078125] 8606: [discriminator loss: 0.582254, acc: 0.664062] [adversarial loss: 0.740582, acc: 0.468750] 8607: [discriminator loss: 0.521581, acc: 0.796875] [adversarial loss: 1.137530, acc: 0.218750] 8608: [discriminator loss: 0.552846, acc: 0.734375] [adversarial loss: 1.010479, acc: 0.343750] 8609: [discriminator loss: 0.564619, acc: 0.750000] [adversarial loss: 1.141837, acc: 0.218750] 8610: [discriminator loss: 0.529528, acc: 0.750000] [adversarial loss: 1.124219, acc: 0.250000] 8611: [discriminator loss: 0.636497, acc: 0.648438] [adversarial loss: 0.806751, acc: 0.515625] 8612: [discriminator loss: 0.505604, acc: 0.750000] [adversarial loss: 1.712119, acc: 0.093750] 8613: [discriminator loss: 0.569989, acc: 0.664062] [adversarial loss: 0.803583, acc: 0.453125] 8614: [discriminator loss: 0.514744, acc: 0.765625] [adversarial loss: 1.441445, acc: 0.140625] 8615: [discriminator loss: 0.510269, acc: 0.750000] [adversarial loss: 0.829544, acc: 0.515625] 8616: [discriminator loss: 0.569060, acc: 0.718750] [adversarial loss: 1.218646, acc: 0.218750] 8617: [discriminator loss: 0.506325, acc: 0.765625] [adversarial loss: 1.261020, acc: 0.328125] 8618: [discriminator loss: 0.592862, acc: 0.671875] [adversarial loss: 0.997574, acc: 0.359375] 8619: [discriminator loss: 0.597130, acc: 0.664062] [adversarial loss: 1.263540, acc: 0.250000] 8620: [discriminator loss: 0.536192, acc: 0.734375] [adversarial loss: 1.139600, acc: 0.250000] 8621: [discriminator loss: 0.617872, acc: 0.656250] [adversarial loss: 1.144676, acc: 0.265625] 8622: [discriminator loss: 0.528629, acc: 0.765625] [adversarial loss: 1.140870, acc: 0.250000] 8623: [discriminator loss: 0.547414, acc: 0.695312] [adversarial loss: 0.993143, acc: 0.343750] 8624: [discriminator loss: 0.561468, acc: 0.750000] [adversarial loss: 1.231121, acc: 0.312500] 8625: [discriminator loss: 0.547783, acc: 0.734375] [adversarial loss: 1.540189, acc: 0.125000] 8626: [discriminator loss: 0.627184, acc: 0.625000] [adversarial loss: 1.016920, acc: 0.328125] 8627: [discriminator loss: 0.559990, acc: 0.695312] [adversarial loss: 1.103044, acc: 0.281250] 8628: [discriminator loss: 0.541611, acc: 0.726562] [adversarial loss: 1.197833, acc: 0.187500] 8629: [discriminator loss: 0.629416, acc: 0.656250] [adversarial loss: 1.366682, acc: 0.140625] 8630: [discriminator loss: 0.576639, acc: 0.671875] [adversarial loss: 0.771842, acc: 0.500000] 8631: [discriminator loss: 0.621455, acc: 0.640625] [adversarial loss: 1.820652, acc: 0.078125] 8632: [discriminator loss: 0.640519, acc: 0.640625] [adversarial loss: 0.939114, acc: 0.421875] 8633: [discriminator loss: 0.586922, acc: 0.671875] [adversarial loss: 1.588098, acc: 0.140625] 8634: [discriminator loss: 0.536068, acc: 0.734375] [adversarial loss: 0.920140, acc: 0.390625] 8635: [discriminator loss: 0.530141, acc: 0.734375] [adversarial loss: 1.310531, acc: 0.140625] 8636: [discriminator loss: 0.565614, acc: 0.679688] [adversarial loss: 0.986913, acc: 0.468750] 8637: [discriminator loss: 0.558607, acc: 0.687500] [adversarial loss: 1.508305, acc: 0.109375] 8638: [discriminator loss: 0.596945, acc: 0.695312] [adversarial loss: 0.872458, acc: 0.390625] 8639: [discriminator loss: 0.593137, acc: 0.718750] [adversarial loss: 1.298604, acc: 0.203125] 8640: [discriminator loss: 0.532403, acc: 0.695312] [adversarial loss: 1.175166, acc: 0.250000] 8641: [discriminator loss: 0.511531, acc: 0.742188] [adversarial loss: 1.481126, acc: 0.109375] 8642: [discriminator loss: 0.535816, acc: 0.703125] [adversarial loss: 1.204043, acc: 0.234375] 8643: [discriminator loss: 0.603961, acc: 0.679688] [adversarial loss: 1.025376, acc: 0.312500] 8644: [discriminator loss: 0.593186, acc: 0.664062] [adversarial loss: 1.001389, acc: 0.328125] 8645: [discriminator loss: 0.488526, acc: 0.765625] [adversarial loss: 1.035263, acc: 0.328125] 8646: [discriminator loss: 0.483141, acc: 0.781250] [adversarial loss: 1.339799, acc: 0.140625] 8647: [discriminator loss: 0.564661, acc: 0.695312] [adversarial loss: 1.088731, acc: 0.328125] 8648: [discriminator loss: 0.541230, acc: 0.734375] [adversarial loss: 1.166792, acc: 0.265625] 8649: [discriminator loss: 0.552103, acc: 0.687500] [adversarial loss: 0.926214, acc: 0.390625] 8650: [discriminator loss: 0.532544, acc: 0.773438] [adversarial loss: 1.168094, acc: 0.218750] 8651: [discriminator loss: 0.591201, acc: 0.703125] [adversarial loss: 1.273004, acc: 0.234375] 8652: [discriminator loss: 0.505817, acc: 0.765625] [adversarial loss: 1.284729, acc: 0.187500] 8653: [discriminator loss: 0.522992, acc: 0.742188] [adversarial loss: 1.357923, acc: 0.156250] 8654: [discriminator loss: 0.559005, acc: 0.726562] [adversarial loss: 1.039244, acc: 0.281250] 8655: [discriminator loss: 0.591523, acc: 0.632812] [adversarial loss: 0.987674, acc: 0.375000] 8656: [discriminator loss: 0.550101, acc: 0.687500] [adversarial loss: 1.053786, acc: 0.343750] 8657: [discriminator loss: 0.559583, acc: 0.726562] [adversarial loss: 1.360637, acc: 0.156250] 8658: [discriminator loss: 0.562550, acc: 0.710938] [adversarial loss: 0.992724, acc: 0.328125] 8659: [discriminator loss: 0.474427, acc: 0.750000] [adversarial loss: 1.432005, acc: 0.203125] 8660: [discriminator loss: 0.538697, acc: 0.734375] [adversarial loss: 0.889557, acc: 0.343750] 8661: [discriminator loss: 0.562326, acc: 0.679688] [adversarial loss: 1.399772, acc: 0.093750] 8662: [discriminator loss: 0.528281, acc: 0.710938] [adversarial loss: 0.891940, acc: 0.468750] 8663: [discriminator loss: 0.624945, acc: 0.679688] [adversarial loss: 1.417357, acc: 0.171875] 8664: [discriminator loss: 0.598356, acc: 0.710938] [adversarial loss: 1.144238, acc: 0.265625] 8665: [discriminator loss: 0.470883, acc: 0.812500] [adversarial loss: 1.211149, acc: 0.203125] 8666: [discriminator loss: 0.584135, acc: 0.687500] [adversarial loss: 1.245567, acc: 0.265625] 8667: [discriminator loss: 0.514388, acc: 0.710938] [adversarial loss: 1.031804, acc: 0.312500] 8668: [discriminator loss: 0.568627, acc: 0.695312] [adversarial loss: 1.266418, acc: 0.187500] 8669: [discriminator loss: 0.510317, acc: 0.789062] [adversarial loss: 0.991687, acc: 0.437500] 8670: [discriminator loss: 0.568438, acc: 0.734375] [adversarial loss: 0.983871, acc: 0.375000] 8671: [discriminator loss: 0.546881, acc: 0.757812] [adversarial loss: 0.941876, acc: 0.375000] 8672: [discriminator loss: 0.579216, acc: 0.671875] [adversarial loss: 1.412914, acc: 0.093750] 8673: [discriminator loss: 0.596745, acc: 0.687500] [adversarial loss: 0.791075, acc: 0.500000] 8674: [discriminator loss: 0.511934, acc: 0.757812] [adversarial loss: 1.371907, acc: 0.171875] 8675: [discriminator loss: 0.566987, acc: 0.703125] [adversarial loss: 0.971113, acc: 0.359375] 8676: [discriminator loss: 0.528168, acc: 0.718750] [adversarial loss: 1.332744, acc: 0.187500] 8677: [discriminator loss: 0.555983, acc: 0.703125] [adversarial loss: 0.939648, acc: 0.390625] 8678: [discriminator loss: 0.552786, acc: 0.710938] [adversarial loss: 1.241298, acc: 0.234375] 8679: [discriminator loss: 0.649396, acc: 0.687500] [adversarial loss: 0.752297, acc: 0.593750] 8680: [discriminator loss: 0.593795, acc: 0.656250] [adversarial loss: 1.336112, acc: 0.125000] 8681: [discriminator loss: 0.613846, acc: 0.695312] [adversarial loss: 1.019310, acc: 0.281250] 8682: [discriminator loss: 0.539539, acc: 0.750000] [adversarial loss: 0.985013, acc: 0.265625] 8683: [discriminator loss: 0.557402, acc: 0.703125] [adversarial loss: 1.075537, acc: 0.203125] 8684: [discriminator loss: 0.545974, acc: 0.703125] [adversarial loss: 1.224276, acc: 0.156250] 8685: [discriminator loss: 0.560794, acc: 0.734375] [adversarial loss: 0.897298, acc: 0.375000] 8686: [discriminator loss: 0.557919, acc: 0.742188] [adversarial loss: 1.232513, acc: 0.171875] 8687: [discriminator loss: 0.523881, acc: 0.750000] [adversarial loss: 1.073467, acc: 0.359375] 8688: [discriminator loss: 0.604148, acc: 0.687500] [adversarial loss: 0.888061, acc: 0.406250] 8689: [discriminator loss: 0.566711, acc: 0.703125] [adversarial loss: 1.182810, acc: 0.250000] 8690: [discriminator loss: 0.555425, acc: 0.703125] [adversarial loss: 1.123409, acc: 0.250000] 8691: [discriminator loss: 0.599462, acc: 0.687500] [adversarial loss: 0.887874, acc: 0.453125] 8692: [discriminator loss: 0.529655, acc: 0.726562] [adversarial loss: 1.225404, acc: 0.156250] 8693: [discriminator loss: 0.535040, acc: 0.710938] [adversarial loss: 0.930991, acc: 0.421875] 8694: [discriminator loss: 0.581779, acc: 0.726562] [adversarial loss: 1.735828, acc: 0.046875] 8695: [discriminator loss: 0.588663, acc: 0.703125] [adversarial loss: 0.865266, acc: 0.421875] 8696: [discriminator loss: 0.591932, acc: 0.710938] [adversarial loss: 1.548413, acc: 0.109375] 8697: [discriminator loss: 0.575567, acc: 0.710938] [adversarial loss: 1.002241, acc: 0.328125] 8698: [discriminator loss: 0.511984, acc: 0.742188] [adversarial loss: 1.102037, acc: 0.250000] 8699: [discriminator loss: 0.539923, acc: 0.750000] [adversarial loss: 1.133812, acc: 0.265625] 8700: [discriminator loss: 0.547388, acc: 0.726562] [adversarial loss: 0.921954, acc: 0.343750] 8701: [discriminator loss: 0.578304, acc: 0.656250] [adversarial loss: 1.022431, acc: 0.265625] 8702: [discriminator loss: 0.568757, acc: 0.703125] [adversarial loss: 1.045180, acc: 0.343750] 8703: [discriminator loss: 0.548739, acc: 0.718750] [adversarial loss: 1.241557, acc: 0.187500] 8704: [discriminator loss: 0.517567, acc: 0.757812] [adversarial loss: 1.243172, acc: 0.218750] 8705: [discriminator loss: 0.580664, acc: 0.687500] [adversarial loss: 1.372347, acc: 0.140625] 8706: [discriminator loss: 0.528906, acc: 0.734375] [adversarial loss: 1.053582, acc: 0.203125] 8707: [discriminator loss: 0.519737, acc: 0.765625] [adversarial loss: 1.111288, acc: 0.296875] 8708: [discriminator loss: 0.582529, acc: 0.687500] [adversarial loss: 1.101317, acc: 0.234375] 8709: [discriminator loss: 0.534590, acc: 0.695312] [adversarial loss: 1.055102, acc: 0.281250] 8710: [discriminator loss: 0.480581, acc: 0.750000] [adversarial loss: 1.391459, acc: 0.171875] 8711: [discriminator loss: 0.588721, acc: 0.679688] [adversarial loss: 1.011556, acc: 0.265625] 8712: [discriminator loss: 0.544791, acc: 0.726562] [adversarial loss: 1.267211, acc: 0.171875] 8713: [discriminator loss: 0.538758, acc: 0.695312] [adversarial loss: 0.735883, acc: 0.531250] 8714: [discriminator loss: 0.630693, acc: 0.656250] [adversarial loss: 1.374475, acc: 0.187500] 8715: [discriminator loss: 0.569861, acc: 0.679688] [adversarial loss: 1.070940, acc: 0.312500] 8716: [discriminator loss: 0.562396, acc: 0.710938] [adversarial loss: 1.135649, acc: 0.312500] 8717: [discriminator loss: 0.540057, acc: 0.734375] [adversarial loss: 1.311981, acc: 0.187500] 8718: [discriminator loss: 0.503100, acc: 0.750000] [adversarial loss: 0.946422, acc: 0.390625] 8719: [discriminator loss: 0.689523, acc: 0.617188] [adversarial loss: 1.342446, acc: 0.203125] 8720: [discriminator loss: 0.612706, acc: 0.664062] [adversarial loss: 1.169300, acc: 0.312500] 8721: [discriminator loss: 0.539072, acc: 0.718750] [adversarial loss: 0.797070, acc: 0.515625] 8722: [discriminator loss: 0.581960, acc: 0.695312] [adversarial loss: 1.693459, acc: 0.078125] 8723: [discriminator loss: 0.571433, acc: 0.695312] [adversarial loss: 0.924755, acc: 0.390625] 8724: [discriminator loss: 0.602878, acc: 0.710938] [adversarial loss: 1.319385, acc: 0.187500] 8725: [discriminator loss: 0.531099, acc: 0.734375] [adversarial loss: 0.922165, acc: 0.406250] 8726: [discriminator loss: 0.553112, acc: 0.718750] [adversarial loss: 1.524217, acc: 0.156250] 8727: [discriminator loss: 0.563794, acc: 0.734375] [adversarial loss: 1.036813, acc: 0.250000] 8728: [discriminator loss: 0.491080, acc: 0.773438] [adversarial loss: 1.204549, acc: 0.171875] 8729: [discriminator loss: 0.541320, acc: 0.734375] [adversarial loss: 0.986978, acc: 0.296875] 8730: [discriminator loss: 0.524293, acc: 0.812500] [adversarial loss: 1.322714, acc: 0.140625] 8731: [discriminator loss: 0.514759, acc: 0.750000] [adversarial loss: 0.956708, acc: 0.328125] 8732: [discriminator loss: 0.598952, acc: 0.718750] [adversarial loss: 1.465029, acc: 0.140625] 8733: [discriminator loss: 0.590124, acc: 0.632812] [adversarial loss: 1.022552, acc: 0.312500] 8734: [discriminator loss: 0.580228, acc: 0.718750] [adversarial loss: 1.326816, acc: 0.203125] 8735: [discriminator loss: 0.490159, acc: 0.773438] [adversarial loss: 0.939937, acc: 0.421875] 8736: [discriminator loss: 0.612480, acc: 0.648438] [adversarial loss: 1.158710, acc: 0.265625] 8737: [discriminator loss: 0.631094, acc: 0.648438] [adversarial loss: 1.060397, acc: 0.343750] 8738: [discriminator loss: 0.527913, acc: 0.734375] [adversarial loss: 1.389226, acc: 0.109375] 8739: [discriminator loss: 0.639946, acc: 0.648438] [adversarial loss: 0.781318, acc: 0.468750] 8740: [discriminator loss: 0.583612, acc: 0.765625] [adversarial loss: 1.559664, acc: 0.078125] 8741: [discriminator loss: 0.599214, acc: 0.679688] [adversarial loss: 1.028685, acc: 0.312500] 8742: [discriminator loss: 0.589846, acc: 0.664062] [adversarial loss: 1.157463, acc: 0.171875] 8743: [discriminator loss: 0.565478, acc: 0.718750] [adversarial loss: 0.952905, acc: 0.343750] 8744: [discriminator loss: 0.567599, acc: 0.687500] [adversarial loss: 1.394069, acc: 0.187500] 8745: [discriminator loss: 0.570743, acc: 0.687500] [adversarial loss: 0.947978, acc: 0.453125] 8746: [discriminator loss: 0.581743, acc: 0.671875] [adversarial loss: 1.398681, acc: 0.140625] 8747: [discriminator loss: 0.535079, acc: 0.710938] [adversarial loss: 1.181208, acc: 0.296875] 8748: [discriminator loss: 0.534854, acc: 0.757812] [adversarial loss: 1.314864, acc: 0.187500] 8749: [discriminator loss: 0.596676, acc: 0.640625] [adversarial loss: 0.819436, acc: 0.531250] 8750: [discriminator loss: 0.498470, acc: 0.750000] [adversarial loss: 1.395602, acc: 0.140625] 8751: [discriminator loss: 0.606079, acc: 0.648438] [adversarial loss: 0.800697, acc: 0.453125] 8752: [discriminator loss: 0.554600, acc: 0.757812] [adversarial loss: 1.424559, acc: 0.125000] 8753: [discriminator loss: 0.552703, acc: 0.710938] [adversarial loss: 0.942029, acc: 0.328125] 8754: [discriminator loss: 0.572665, acc: 0.687500] [adversarial loss: 1.017987, acc: 0.359375] 8755: [discriminator loss: 0.540117, acc: 0.734375] [adversarial loss: 1.059359, acc: 0.328125] 8756: [discriminator loss: 0.503618, acc: 0.718750] [adversarial loss: 0.984663, acc: 0.328125] 8757: [discriminator loss: 0.606914, acc: 0.679688] [adversarial loss: 1.479233, acc: 0.062500] 8758: [discriminator loss: 0.550390, acc: 0.703125] [adversarial loss: 0.855060, acc: 0.484375] 8759: [discriminator loss: 0.544300, acc: 0.703125] [adversarial loss: 1.105072, acc: 0.234375] 8760: [discriminator loss: 0.576105, acc: 0.710938] [adversarial loss: 1.269979, acc: 0.171875] 8761: [discriminator loss: 0.616582, acc: 0.671875] [adversarial loss: 1.099826, acc: 0.218750] 8762: [discriminator loss: 0.632525, acc: 0.640625] [adversarial loss: 0.821018, acc: 0.437500] 8763: [discriminator loss: 0.541184, acc: 0.710938] [adversarial loss: 1.444792, acc: 0.187500] 8764: [discriminator loss: 0.581657, acc: 0.671875] [adversarial loss: 1.254039, acc: 0.296875] 8765: [discriminator loss: 0.471127, acc: 0.781250] [adversarial loss: 1.055365, acc: 0.265625] 8766: [discriminator loss: 0.543966, acc: 0.710938] [adversarial loss: 0.868847, acc: 0.421875] 8767: [discriminator loss: 0.573049, acc: 0.695312] [adversarial loss: 1.325126, acc: 0.171875] 8768: [discriminator loss: 0.727714, acc: 0.578125] [adversarial loss: 1.029638, acc: 0.328125] 8769: [discriminator loss: 0.563806, acc: 0.726562] [adversarial loss: 1.206447, acc: 0.234375] 8770: [discriminator loss: 0.634875, acc: 0.585938] [adversarial loss: 1.072393, acc: 0.359375] 8771: [discriminator loss: 0.536776, acc: 0.726562] [adversarial loss: 1.060224, acc: 0.312500] 8772: [discriminator loss: 0.556017, acc: 0.718750] [adversarial loss: 1.249547, acc: 0.109375] 8773: [discriminator loss: 0.512244, acc: 0.773438] [adversarial loss: 1.388238, acc: 0.125000] 8774: [discriminator loss: 0.520397, acc: 0.742188] [adversarial loss: 1.209984, acc: 0.265625] 8775: [discriminator loss: 0.513758, acc: 0.710938] [adversarial loss: 1.136799, acc: 0.265625] 8776: [discriminator loss: 0.550956, acc: 0.734375] [adversarial loss: 1.257679, acc: 0.156250] 8777: [discriminator loss: 0.550058, acc: 0.726562] [adversarial loss: 1.014318, acc: 0.250000] 8778: [discriminator loss: 0.560784, acc: 0.718750] [adversarial loss: 1.360760, acc: 0.140625] 8779: [discriminator loss: 0.550395, acc: 0.703125] [adversarial loss: 0.832529, acc: 0.437500] 8780: [discriminator loss: 0.558691, acc: 0.687500] [adversarial loss: 1.819050, acc: 0.031250] 8781: [discriminator loss: 0.643644, acc: 0.679688] [adversarial loss: 0.859696, acc: 0.406250] 8782: [discriminator loss: 0.603356, acc: 0.687500] [adversarial loss: 1.295876, acc: 0.203125] 8783: [discriminator loss: 0.642955, acc: 0.632812] [adversarial loss: 1.079883, acc: 0.281250] 8784: [discriminator loss: 0.537346, acc: 0.718750] [adversarial loss: 0.886355, acc: 0.406250] 8785: [discriminator loss: 0.473561, acc: 0.773438] [adversarial loss: 1.216216, acc: 0.203125] 8786: [discriminator loss: 0.539752, acc: 0.679688] [adversarial loss: 0.945264, acc: 0.328125] 8787: [discriminator loss: 0.493674, acc: 0.789062] [adversarial loss: 1.222148, acc: 0.218750] 8788: [discriminator loss: 0.557056, acc: 0.671875] [adversarial loss: 1.258426, acc: 0.187500] 8789: [discriminator loss: 0.472030, acc: 0.789062] [adversarial loss: 0.982560, acc: 0.328125] 8790: [discriminator loss: 0.513469, acc: 0.757812] [adversarial loss: 1.347931, acc: 0.156250] 8791: [discriminator loss: 0.576719, acc: 0.710938] [adversarial loss: 0.722041, acc: 0.546875] 8792: [discriminator loss: 0.629004, acc: 0.640625] [adversarial loss: 1.742048, acc: 0.109375] 8793: [discriminator loss: 0.629790, acc: 0.671875] [adversarial loss: 0.830074, acc: 0.468750] 8794: [discriminator loss: 0.581228, acc: 0.687500] [adversarial loss: 1.498264, acc: 0.125000] 8795: [discriminator loss: 0.587953, acc: 0.671875] [adversarial loss: 1.078664, acc: 0.281250] 8796: [discriminator loss: 0.471371, acc: 0.812500] [adversarial loss: 1.118616, acc: 0.234375] 8797: [discriminator loss: 0.569060, acc: 0.734375] [adversarial loss: 1.090785, acc: 0.234375] 8798: [discriminator loss: 0.562940, acc: 0.687500] [adversarial loss: 1.228003, acc: 0.234375] 8799: [discriminator loss: 0.478159, acc: 0.781250] [adversarial loss: 1.324560, acc: 0.156250] 8800: [discriminator loss: 0.532502, acc: 0.765625] [adversarial loss: 1.319828, acc: 0.171875] 8801: [discriminator loss: 0.498196, acc: 0.773438] [adversarial loss: 0.986853, acc: 0.375000] 8802: [discriminator loss: 0.554239, acc: 0.750000] [adversarial loss: 1.292376, acc: 0.250000] 8803: [discriminator loss: 0.598428, acc: 0.656250] [adversarial loss: 0.854595, acc: 0.359375] 8804: [discriminator loss: 0.632546, acc: 0.664062] [adversarial loss: 1.199507, acc: 0.250000] 8805: [discriminator loss: 0.546452, acc: 0.703125] [adversarial loss: 1.309613, acc: 0.187500] 8806: [discriminator loss: 0.490572, acc: 0.750000] [adversarial loss: 1.066688, acc: 0.296875] 8807: [discriminator loss: 0.539267, acc: 0.710938] [adversarial loss: 1.542493, acc: 0.078125] 8808: [discriminator loss: 0.557383, acc: 0.695312] [adversarial loss: 1.260870, acc: 0.187500] 8809: [discriminator loss: 0.504211, acc: 0.726562] [adversarial loss: 1.295939, acc: 0.218750] 8810: [discriminator loss: 0.595240, acc: 0.656250] [adversarial loss: 1.267749, acc: 0.187500] 8811: [discriminator loss: 0.596971, acc: 0.687500] [adversarial loss: 0.845339, acc: 0.453125] 8812: [discriminator loss: 0.572130, acc: 0.679688] [adversarial loss: 1.195613, acc: 0.218750] 8813: [discriminator loss: 0.551606, acc: 0.726562] [adversarial loss: 1.181703, acc: 0.218750] 8814: [discriminator loss: 0.593175, acc: 0.679688] [adversarial loss: 0.943773, acc: 0.343750] 8815: [discriminator loss: 0.570889, acc: 0.703125] [adversarial loss: 1.024683, acc: 0.250000] 8816: [discriminator loss: 0.621504, acc: 0.679688] [adversarial loss: 1.409553, acc: 0.109375] 8817: [discriminator loss: 0.654309, acc: 0.609375] [adversarial loss: 0.719724, acc: 0.500000] 8818: [discriminator loss: 0.609515, acc: 0.656250] [adversarial loss: 1.503783, acc: 0.046875] 8819: [discriminator loss: 0.517166, acc: 0.750000] [adversarial loss: 1.015078, acc: 0.312500] 8820: [discriminator loss: 0.544874, acc: 0.703125] [adversarial loss: 1.326274, acc: 0.093750] 8821: [discriminator loss: 0.557584, acc: 0.726562] [adversarial loss: 1.166422, acc: 0.265625] 8822: [discriminator loss: 0.595130, acc: 0.671875] [adversarial loss: 0.895405, acc: 0.390625] 8823: [discriminator loss: 0.518716, acc: 0.718750] [adversarial loss: 1.236106, acc: 0.250000] 8824: [discriminator loss: 0.526738, acc: 0.734375] [adversarial loss: 1.224518, acc: 0.218750] 8825: [discriminator loss: 0.540352, acc: 0.695312] [adversarial loss: 1.209610, acc: 0.234375] 8826: [discriminator loss: 0.562527, acc: 0.726562] [adversarial loss: 1.243469, acc: 0.187500] 8827: [discriminator loss: 0.512439, acc: 0.734375] [adversarial loss: 0.964242, acc: 0.390625] 8828: [discriminator loss: 0.560630, acc: 0.703125] [adversarial loss: 1.233948, acc: 0.250000] 8829: [discriminator loss: 0.492950, acc: 0.750000] [adversarial loss: 0.974684, acc: 0.375000] 8830: [discriminator loss: 0.571131, acc: 0.703125] [adversarial loss: 1.507003, acc: 0.062500] 8831: [discriminator loss: 0.546361, acc: 0.687500] [adversarial loss: 1.019596, acc: 0.328125] 8832: [discriminator loss: 0.530795, acc: 0.742188] [adversarial loss: 1.427995, acc: 0.171875] 8833: [discriminator loss: 0.558809, acc: 0.671875] [adversarial loss: 0.794627, acc: 0.515625] 8834: [discriminator loss: 0.648101, acc: 0.648438] [adversarial loss: 1.432091, acc: 0.078125] 8835: [discriminator loss: 0.549333, acc: 0.679688] [adversarial loss: 0.932298, acc: 0.328125] 8836: [discriminator loss: 0.607290, acc: 0.695312] [adversarial loss: 1.222469, acc: 0.218750] 8837: [discriminator loss: 0.538899, acc: 0.742188] [adversarial loss: 0.857405, acc: 0.453125] 8838: [discriminator loss: 0.530487, acc: 0.773438] [adversarial loss: 1.237745, acc: 0.203125] 8839: [discriminator loss: 0.508669, acc: 0.773438] [adversarial loss: 1.184182, acc: 0.187500] 8840: [discriminator loss: 0.596529, acc: 0.687500] [adversarial loss: 1.053521, acc: 0.312500] 8841: [discriminator loss: 0.572136, acc: 0.695312] [adversarial loss: 1.152520, acc: 0.187500] 8842: [discriminator loss: 0.505994, acc: 0.757812] [adversarial loss: 1.204878, acc: 0.203125] 8843: [discriminator loss: 0.566838, acc: 0.718750] [adversarial loss: 1.092071, acc: 0.312500] 8844: [discriminator loss: 0.542384, acc: 0.726562] [adversarial loss: 1.532914, acc: 0.125000] 8845: [discriminator loss: 0.601334, acc: 0.710938] [adversarial loss: 0.790045, acc: 0.484375] 8846: [discriminator loss: 0.578706, acc: 0.765625] [adversarial loss: 1.458671, acc: 0.140625] 8847: [discriminator loss: 0.635895, acc: 0.617188] [adversarial loss: 1.012063, acc: 0.328125] 8848: [discriminator loss: 0.563471, acc: 0.718750] [adversarial loss: 1.052117, acc: 0.328125] 8849: [discriminator loss: 0.530576, acc: 0.718750] [adversarial loss: 1.208696, acc: 0.234375] 8850: [discriminator loss: 0.514276, acc: 0.718750] [adversarial loss: 1.327767, acc: 0.171875] 8851: [discriminator loss: 0.536147, acc: 0.718750] [adversarial loss: 0.999805, acc: 0.390625] 8852: [discriminator loss: 0.612876, acc: 0.656250] [adversarial loss: 1.229036, acc: 0.250000] 8853: [discriminator loss: 0.566309, acc: 0.664062] [adversarial loss: 1.095529, acc: 0.265625] 8854: [discriminator loss: 0.495197, acc: 0.726562] [adversarial loss: 1.174298, acc: 0.187500] 8855: [discriminator loss: 0.513169, acc: 0.726562] [adversarial loss: 0.904165, acc: 0.375000] 8856: [discriminator loss: 0.479045, acc: 0.773438] [adversarial loss: 1.340106, acc: 0.203125] 8857: [discriminator loss: 0.544505, acc: 0.726562] [adversarial loss: 0.872756, acc: 0.421875] 8858: [discriminator loss: 0.565366, acc: 0.742188] [adversarial loss: 1.747916, acc: 0.062500] 8859: [discriminator loss: 0.580973, acc: 0.679688] [adversarial loss: 0.827156, acc: 0.437500] 8860: [discriminator loss: 0.572179, acc: 0.671875] [adversarial loss: 1.369139, acc: 0.140625] 8861: [discriminator loss: 0.594388, acc: 0.664062] [adversarial loss: 1.145737, acc: 0.218750] 8862: [discriminator loss: 0.539908, acc: 0.750000] [adversarial loss: 1.283385, acc: 0.218750] 8863: [discriminator loss: 0.483056, acc: 0.765625] [adversarial loss: 1.246444, acc: 0.156250] 8864: [discriminator loss: 0.561916, acc: 0.726562] [adversarial loss: 1.057538, acc: 0.328125] 8865: [discriminator loss: 0.548952, acc: 0.742188] [adversarial loss: 1.151589, acc: 0.203125] 8866: [discriminator loss: 0.535294, acc: 0.726562] [adversarial loss: 1.412284, acc: 0.125000] 8867: [discriminator loss: 0.560992, acc: 0.679688] [adversarial loss: 0.927185, acc: 0.437500] 8868: [discriminator loss: 0.558847, acc: 0.734375] [adversarial loss: 1.563653, acc: 0.093750] 8869: [discriminator loss: 0.532728, acc: 0.734375] [adversarial loss: 0.662002, acc: 0.671875] 8870: [discriminator loss: 0.589066, acc: 0.671875] [adversarial loss: 1.390857, acc: 0.109375] 8871: [discriminator loss: 0.599695, acc: 0.679688] [adversarial loss: 0.935891, acc: 0.453125] 8872: [discriminator loss: 0.578623, acc: 0.679688] [adversarial loss: 1.305955, acc: 0.203125] 8873: [discriminator loss: 0.514956, acc: 0.757812] [adversarial loss: 1.127403, acc: 0.234375] 8874: [discriminator loss: 0.541166, acc: 0.750000] [adversarial loss: 1.266144, acc: 0.218750] 8875: [discriminator loss: 0.597551, acc: 0.648438] [adversarial loss: 1.052711, acc: 0.265625] 8876: [discriminator loss: 0.465446, acc: 0.820312] [adversarial loss: 1.012409, acc: 0.343750] 8877: [discriminator loss: 0.556564, acc: 0.789062] [adversarial loss: 1.085506, acc: 0.250000] 8878: [discriminator loss: 0.564869, acc: 0.664062] [adversarial loss: 1.300570, acc: 0.218750] 8879: [discriminator loss: 0.556486, acc: 0.703125] [adversarial loss: 1.242033, acc: 0.265625] 8880: [discriminator loss: 0.488084, acc: 0.726562] [adversarial loss: 1.221153, acc: 0.234375] 8881: [discriminator loss: 0.585239, acc: 0.757812] [adversarial loss: 0.874238, acc: 0.437500] 8882: [discriminator loss: 0.577497, acc: 0.750000] [adversarial loss: 1.359025, acc: 0.171875] 8883: [discriminator loss: 0.526550, acc: 0.726562] [adversarial loss: 0.980124, acc: 0.328125] 8884: [discriminator loss: 0.585570, acc: 0.656250] [adversarial loss: 1.555741, acc: 0.062500] 8885: [discriminator loss: 0.509149, acc: 0.726562] [adversarial loss: 0.873253, acc: 0.421875] 8886: [discriminator loss: 0.625968, acc: 0.718750] [adversarial loss: 1.297500, acc: 0.156250] 8887: [discriminator loss: 0.585903, acc: 0.671875] [adversarial loss: 0.937552, acc: 0.359375] 8888: [discriminator loss: 0.606839, acc: 0.656250] [adversarial loss: 1.512550, acc: 0.109375] 8889: [discriminator loss: 0.613853, acc: 0.664062] [adversarial loss: 1.009095, acc: 0.359375] 8890: [discriminator loss: 0.518681, acc: 0.773438] [adversarial loss: 1.483549, acc: 0.125000] 8891: [discriminator loss: 0.540648, acc: 0.695312] [adversarial loss: 0.825137, acc: 0.421875] 8892: [discriminator loss: 0.537960, acc: 0.757812] [adversarial loss: 1.421969, acc: 0.140625] 8893: [discriminator loss: 0.556565, acc: 0.734375] [adversarial loss: 0.861794, acc: 0.468750] 8894: [discriminator loss: 0.510767, acc: 0.742188] [adversarial loss: 1.448751, acc: 0.078125] 8895: [discriminator loss: 0.614577, acc: 0.679688] [adversarial loss: 0.631840, acc: 0.578125] 8896: [discriminator loss: 0.604710, acc: 0.664062] [adversarial loss: 1.412156, acc: 0.109375] 8897: [discriminator loss: 0.566342, acc: 0.734375] [adversarial loss: 1.059424, acc: 0.312500] 8898: [discriminator loss: 0.559596, acc: 0.679688] [adversarial loss: 1.176574, acc: 0.203125] 8899: [discriminator loss: 0.535630, acc: 0.742188] [adversarial loss: 1.401269, acc: 0.093750] 8900: [discriminator loss: 0.563153, acc: 0.710938] [adversarial loss: 1.102838, acc: 0.312500] 8901: [discriminator loss: 0.573095, acc: 0.687500] [adversarial loss: 1.389170, acc: 0.156250] 8902: [discriminator loss: 0.542537, acc: 0.726562] [adversarial loss: 1.104618, acc: 0.250000] 8903: [discriminator loss: 0.501454, acc: 0.773438] [adversarial loss: 1.214831, acc: 0.234375] 8904: [discriminator loss: 0.561090, acc: 0.695312] [adversarial loss: 1.175950, acc: 0.296875] 8905: [discriminator loss: 0.491587, acc: 0.773438] [adversarial loss: 1.006102, acc: 0.265625] 8906: [discriminator loss: 0.514850, acc: 0.750000] [adversarial loss: 1.313722, acc: 0.203125] 8907: [discriminator loss: 0.637262, acc: 0.664062] [adversarial loss: 1.423599, acc: 0.171875] 8908: [discriminator loss: 0.557188, acc: 0.718750] [adversarial loss: 0.990665, acc: 0.359375] 8909: [discriminator loss: 0.603807, acc: 0.656250] [adversarial loss: 1.420709, acc: 0.156250] 8910: [discriminator loss: 0.606753, acc: 0.695312] [adversarial loss: 0.780541, acc: 0.531250] 8911: [discriminator loss: 0.547876, acc: 0.710938] [adversarial loss: 1.437323, acc: 0.140625] 8912: [discriminator loss: 0.528279, acc: 0.710938] [adversarial loss: 1.307814, acc: 0.187500] 8913: [discriminator loss: 0.519838, acc: 0.796875] [adversarial loss: 1.535881, acc: 0.109375] 8914: [discriminator loss: 0.540822, acc: 0.687500] [adversarial loss: 1.086387, acc: 0.281250] 8915: [discriminator loss: 0.579916, acc: 0.695312] [adversarial loss: 1.292582, acc: 0.187500] 8916: [discriminator loss: 0.546230, acc: 0.718750] [adversarial loss: 1.109052, acc: 0.281250] 8917: [discriminator loss: 0.534692, acc: 0.757812] [adversarial loss: 1.187297, acc: 0.218750] 8918: [discriminator loss: 0.615359, acc: 0.664062] [adversarial loss: 1.160355, acc: 0.203125] 8919: [discriminator loss: 0.616348, acc: 0.687500] [adversarial loss: 1.029087, acc: 0.328125] 8920: [discriminator loss: 0.529367, acc: 0.773438] [adversarial loss: 1.416653, acc: 0.093750] 8921: [discriminator loss: 0.592347, acc: 0.679688] [adversarial loss: 0.869423, acc: 0.484375] 8922: [discriminator loss: 0.574588, acc: 0.648438] [adversarial loss: 1.317278, acc: 0.109375] 8923: [discriminator loss: 0.527446, acc: 0.734375] [adversarial loss: 1.135030, acc: 0.281250] 8924: [discriminator loss: 0.534492, acc: 0.703125] [adversarial loss: 1.495086, acc: 0.140625] 8925: [discriminator loss: 0.541291, acc: 0.718750] [adversarial loss: 0.939448, acc: 0.406250] 8926: [discriminator loss: 0.620783, acc: 0.695312] [adversarial loss: 1.690220, acc: 0.046875] 8927: [discriminator loss: 0.572407, acc: 0.687500] [adversarial loss: 0.778097, acc: 0.421875] 8928: [discriminator loss: 0.561451, acc: 0.687500] [adversarial loss: 1.412174, acc: 0.140625] 8929: [discriminator loss: 0.599502, acc: 0.648438] [adversarial loss: 1.061790, acc: 0.421875] 8930: [discriminator loss: 0.520256, acc: 0.734375] [adversarial loss: 1.252820, acc: 0.187500] 8931: [discriminator loss: 0.588163, acc: 0.664062] [adversarial loss: 1.037481, acc: 0.296875] 8932: [discriminator loss: 0.515549, acc: 0.781250] [adversarial loss: 1.051121, acc: 0.250000] 8933: [discriminator loss: 0.551933, acc: 0.726562] [adversarial loss: 1.345671, acc: 0.187500] 8934: [discriminator loss: 0.606401, acc: 0.625000] [adversarial loss: 0.874735, acc: 0.421875] 8935: [discriminator loss: 0.543680, acc: 0.695312] [adversarial loss: 1.442219, acc: 0.125000] 8936: [discriminator loss: 0.594034, acc: 0.671875] [adversarial loss: 0.961990, acc: 0.375000] 8937: [discriminator loss: 0.588144, acc: 0.679688] [adversarial loss: 1.332262, acc: 0.234375] 8938: [discriminator loss: 0.547243, acc: 0.734375] [adversarial loss: 1.103351, acc: 0.296875] 8939: [discriminator loss: 0.598142, acc: 0.632812] [adversarial loss: 1.098802, acc: 0.312500] 8940: [discriminator loss: 0.581792, acc: 0.695312] [adversarial loss: 1.047002, acc: 0.296875] 8941: [discriminator loss: 0.512019, acc: 0.718750] [adversarial loss: 1.152507, acc: 0.250000] 8942: [discriminator loss: 0.593548, acc: 0.664062] [adversarial loss: 1.035555, acc: 0.328125] 8943: [discriminator loss: 0.525580, acc: 0.718750] [adversarial loss: 1.265660, acc: 0.171875] 8944: [discriminator loss: 0.539080, acc: 0.710938] [adversarial loss: 0.989089, acc: 0.312500] 8945: [discriminator loss: 0.511419, acc: 0.742188] [adversarial loss: 1.263896, acc: 0.171875] 8946: [discriminator loss: 0.558975, acc: 0.710938] [adversarial loss: 1.006776, acc: 0.343750] 8947: [discriminator loss: 0.543956, acc: 0.718750] [adversarial loss: 1.278556, acc: 0.187500] 8948: [discriminator loss: 0.498112, acc: 0.750000] [adversarial loss: 1.121653, acc: 0.171875] 8949: [discriminator loss: 0.587430, acc: 0.742188] [adversarial loss: 1.058229, acc: 0.375000] 8950: [discriminator loss: 0.566253, acc: 0.718750] [adversarial loss: 1.276434, acc: 0.156250] 8951: [discriminator loss: 0.552092, acc: 0.695312] [adversarial loss: 1.029816, acc: 0.296875] 8952: [discriminator loss: 0.563328, acc: 0.695312] [adversarial loss: 1.132287, acc: 0.187500] 8953: [discriminator loss: 0.519931, acc: 0.757812] [adversarial loss: 1.501508, acc: 0.125000] 8954: [discriminator loss: 0.567963, acc: 0.734375] [adversarial loss: 0.998339, acc: 0.265625] 8955: [discriminator loss: 0.608175, acc: 0.671875] [adversarial loss: 1.326854, acc: 0.140625] 8956: [discriminator loss: 0.546186, acc: 0.726562] [adversarial loss: 0.882660, acc: 0.421875] 8957: [discriminator loss: 0.568030, acc: 0.718750] [adversarial loss: 1.656472, acc: 0.125000] 8958: [discriminator loss: 0.606864, acc: 0.632812] [adversarial loss: 0.633910, acc: 0.640625] 8959: [discriminator loss: 0.569443, acc: 0.679688] [adversarial loss: 1.670599, acc: 0.046875] 8960: [discriminator loss: 0.556496, acc: 0.679688] [adversarial loss: 0.884456, acc: 0.500000] 8961: [discriminator loss: 0.535536, acc: 0.726562] [adversarial loss: 1.288848, acc: 0.250000] 8962: [discriminator loss: 0.558318, acc: 0.718750] [adversarial loss: 1.230760, acc: 0.218750] 8963: [discriminator loss: 0.542376, acc: 0.734375] [adversarial loss: 1.039846, acc: 0.343750] 8964: [discriminator loss: 0.539692, acc: 0.750000] [adversarial loss: 0.814117, acc: 0.453125] 8965: [discriminator loss: 0.537148, acc: 0.726562] [adversarial loss: 1.275504, acc: 0.156250] 8966: [discriminator loss: 0.573685, acc: 0.703125] [adversarial loss: 0.982371, acc: 0.375000] 8967: [discriminator loss: 0.511762, acc: 0.742188] [adversarial loss: 1.030776, acc: 0.375000] 8968: [discriminator loss: 0.537863, acc: 0.726562] [adversarial loss: 1.011379, acc: 0.281250] 8969: [discriminator loss: 0.603035, acc: 0.710938] [adversarial loss: 1.121773, acc: 0.250000] 8970: [discriminator loss: 0.535501, acc: 0.710938] [adversarial loss: 1.269551, acc: 0.125000] 8971: [discriminator loss: 0.534286, acc: 0.718750] [adversarial loss: 1.014679, acc: 0.343750] 8972: [discriminator loss: 0.577836, acc: 0.664062] [adversarial loss: 1.170869, acc: 0.171875] 8973: [discriminator loss: 0.479110, acc: 0.781250] [adversarial loss: 0.927760, acc: 0.375000] 8974: [discriminator loss: 0.541652, acc: 0.710938] [adversarial loss: 1.397629, acc: 0.140625] 8975: [discriminator loss: 0.563607, acc: 0.664062] [adversarial loss: 0.868617, acc: 0.453125] 8976: [discriminator loss: 0.522861, acc: 0.750000] [adversarial loss: 1.609228, acc: 0.078125] 8977: [discriminator loss: 0.608075, acc: 0.648438] [adversarial loss: 0.727089, acc: 0.546875] 8978: [discriminator loss: 0.578470, acc: 0.734375] [adversarial loss: 1.820686, acc: 0.031250] 8979: [discriminator loss: 0.569374, acc: 0.695312] [adversarial loss: 0.874662, acc: 0.343750] 8980: [discriminator loss: 0.563013, acc: 0.703125] [adversarial loss: 1.285265, acc: 0.187500] 8981: [discriminator loss: 0.541875, acc: 0.687500] [adversarial loss: 1.158594, acc: 0.234375] 8982: [discriminator loss: 0.537319, acc: 0.710938] [adversarial loss: 1.300856, acc: 0.156250] 8983: [discriminator loss: 0.514738, acc: 0.695312] [adversarial loss: 1.002277, acc: 0.406250] 8984: [discriminator loss: 0.511815, acc: 0.742188] [adversarial loss: 1.316577, acc: 0.171875] 8985: [discriminator loss: 0.568857, acc: 0.687500] [adversarial loss: 0.983127, acc: 0.343750] 8986: [discriminator loss: 0.537947, acc: 0.710938] [adversarial loss: 1.548062, acc: 0.125000] 8987: [discriminator loss: 0.613883, acc: 0.679688] [adversarial loss: 1.022149, acc: 0.265625] 8988: [discriminator loss: 0.571266, acc: 0.695312] [adversarial loss: 1.020851, acc: 0.312500] 8989: [discriminator loss: 0.579505, acc: 0.703125] [adversarial loss: 1.174476, acc: 0.171875] 8990: [discriminator loss: 0.542089, acc: 0.710938] [adversarial loss: 0.988470, acc: 0.296875] 8991: [discriminator loss: 0.556817, acc: 0.679688] [adversarial loss: 1.100531, acc: 0.265625] 8992: [discriminator loss: 0.577643, acc: 0.703125] [adversarial loss: 1.363837, acc: 0.140625] 8993: [discriminator loss: 0.532905, acc: 0.710938] [adversarial loss: 1.005038, acc: 0.296875] 8994: [discriminator loss: 0.489785, acc: 0.750000] [adversarial loss: 1.069833, acc: 0.250000] 8995: [discriminator loss: 0.590741, acc: 0.664062] [adversarial loss: 1.027420, acc: 0.328125] 8996: [discriminator loss: 0.532043, acc: 0.742188] [adversarial loss: 1.461622, acc: 0.140625] 8997: [discriminator loss: 0.571974, acc: 0.679688] [adversarial loss: 0.934796, acc: 0.390625] 8998: [discriminator loss: 0.560146, acc: 0.742188] [adversarial loss: 1.236310, acc: 0.250000] 8999: [discriminator loss: 0.537305, acc: 0.726562] [adversarial loss: 1.098475, acc: 0.343750] 9000: [discriminator loss: 0.512902, acc: 0.726562] [adversarial loss: 0.879416, acc: 0.406250] 9001: [discriminator loss: 0.526197, acc: 0.750000] [adversarial loss: 1.350374, acc: 0.234375] 9002: [discriminator loss: 0.608137, acc: 0.679688] [adversarial loss: 0.816172, acc: 0.468750] 9003: [discriminator loss: 0.561376, acc: 0.703125] [adversarial loss: 1.215680, acc: 0.250000] 9004: [discriminator loss: 0.515568, acc: 0.750000] [adversarial loss: 1.175498, acc: 0.281250] 9005: [discriminator loss: 0.469574, acc: 0.804688] [adversarial loss: 1.137579, acc: 0.265625] 9006: [discriminator loss: 0.540544, acc: 0.710938] [adversarial loss: 1.069860, acc: 0.312500] 9007: [discriminator loss: 0.600806, acc: 0.679688] [adversarial loss: 1.086671, acc: 0.375000] 9008: [discriminator loss: 0.560182, acc: 0.703125] [adversarial loss: 1.141028, acc: 0.187500] 9009: [discriminator loss: 0.521943, acc: 0.726562] [adversarial loss: 0.978056, acc: 0.359375] 9010: [discriminator loss: 0.545661, acc: 0.703125] [adversarial loss: 1.369920, acc: 0.171875] 9011: [discriminator loss: 0.597169, acc: 0.656250] [adversarial loss: 0.765015, acc: 0.437500] 9012: [discriminator loss: 0.572672, acc: 0.703125] [adversarial loss: 1.443085, acc: 0.125000] 9013: [discriminator loss: 0.526988, acc: 0.710938] [adversarial loss: 1.016402, acc: 0.359375] 9014: [discriminator loss: 0.599247, acc: 0.664062] [adversarial loss: 1.663113, acc: 0.109375] 9015: [discriminator loss: 0.576307, acc: 0.656250] [adversarial loss: 1.043139, acc: 0.312500] 9016: [discriminator loss: 0.479373, acc: 0.781250] [adversarial loss: 1.288207, acc: 0.171875] 9017: [discriminator loss: 0.557397, acc: 0.710938] [adversarial loss: 1.194004, acc: 0.328125] 9018: [discriminator loss: 0.520163, acc: 0.750000] [adversarial loss: 1.125684, acc: 0.250000] 9019: [discriminator loss: 0.616737, acc: 0.664062] [adversarial loss: 1.088445, acc: 0.234375] 9020: [discriminator loss: 0.539817, acc: 0.687500] [adversarial loss: 1.225751, acc: 0.203125] 9021: [discriminator loss: 0.572845, acc: 0.695312] [adversarial loss: 0.800437, acc: 0.390625] 9022: [discriminator loss: 0.548091, acc: 0.695312] [adversarial loss: 1.080599, acc: 0.296875] 9023: [discriminator loss: 0.511964, acc: 0.781250] [adversarial loss: 1.163826, acc: 0.265625] 9024: [discriminator loss: 0.485472, acc: 0.765625] [adversarial loss: 1.052328, acc: 0.328125] 9025: [discriminator loss: 0.555057, acc: 0.757812] [adversarial loss: 1.469774, acc: 0.078125] 9026: [discriminator loss: 0.546491, acc: 0.750000] [adversarial loss: 0.887344, acc: 0.437500] 9027: [discriminator loss: 0.579546, acc: 0.679688] [adversarial loss: 1.415405, acc: 0.250000] 9028: [discriminator loss: 0.562518, acc: 0.687500] [adversarial loss: 0.904603, acc: 0.453125] 9029: [discriminator loss: 0.645458, acc: 0.671875] [adversarial loss: 1.583441, acc: 0.093750] 9030: [discriminator loss: 0.577082, acc: 0.671875] [adversarial loss: 1.167904, acc: 0.234375] 9031: [discriminator loss: 0.561537, acc: 0.687500] [adversarial loss: 1.226155, acc: 0.203125] 9032: [discriminator loss: 0.609783, acc: 0.656250] [adversarial loss: 1.440138, acc: 0.156250] 9033: [discriminator loss: 0.549471, acc: 0.750000] [adversarial loss: 0.728942, acc: 0.515625] 9034: [discriminator loss: 0.586912, acc: 0.703125] [adversarial loss: 1.566512, acc: 0.140625] 9035: [discriminator loss: 0.479356, acc: 0.765625] [adversarial loss: 0.954212, acc: 0.437500] 9036: [discriminator loss: 0.563230, acc: 0.718750] [adversarial loss: 1.306322, acc: 0.203125] 9037: [discriminator loss: 0.519469, acc: 0.718750] [adversarial loss: 1.006616, acc: 0.296875] 9038: [discriminator loss: 0.478215, acc: 0.765625] [adversarial loss: 1.164321, acc: 0.281250] 9039: [discriminator loss: 0.566818, acc: 0.703125] [adversarial loss: 1.219877, acc: 0.140625] 9040: [discriminator loss: 0.522885, acc: 0.789062] [adversarial loss: 1.202220, acc: 0.234375] 9041: [discriminator loss: 0.657127, acc: 0.632812] [adversarial loss: 1.154168, acc: 0.281250] 9042: [discriminator loss: 0.500104, acc: 0.726562] [adversarial loss: 1.162526, acc: 0.250000] 9043: [discriminator loss: 0.615261, acc: 0.640625] [adversarial loss: 1.123349, acc: 0.312500] 9044: [discriminator loss: 0.558231, acc: 0.703125] [adversarial loss: 1.215952, acc: 0.250000] 9045: [discriminator loss: 0.556957, acc: 0.710938] [adversarial loss: 1.137619, acc: 0.234375] 9046: [discriminator loss: 0.540899, acc: 0.757812] [adversarial loss: 1.193616, acc: 0.187500] 9047: [discriminator loss: 0.566708, acc: 0.695312] [adversarial loss: 0.779775, acc: 0.468750] 9048: [discriminator loss: 0.585398, acc: 0.664062] [adversarial loss: 1.747351, acc: 0.046875] 9049: [discriminator loss: 0.610925, acc: 0.687500] [adversarial loss: 0.939493, acc: 0.390625] 9050: [discriminator loss: 0.598197, acc: 0.664062] [adversarial loss: 1.265677, acc: 0.250000] 9051: [discriminator loss: 0.635287, acc: 0.617188] [adversarial loss: 0.995336, acc: 0.343750] 9052: [discriminator loss: 0.546674, acc: 0.695312] [adversarial loss: 1.374203, acc: 0.156250] 9053: [discriminator loss: 0.673338, acc: 0.640625] [adversarial loss: 0.928445, acc: 0.406250] 9054: [discriminator loss: 0.522840, acc: 0.773438] [adversarial loss: 1.212284, acc: 0.250000] 9055: [discriminator loss: 0.488114, acc: 0.789062] [adversarial loss: 0.996831, acc: 0.296875] 9056: [discriminator loss: 0.548661, acc: 0.679688] [adversarial loss: 1.146688, acc: 0.296875] 9057: [discriminator loss: 0.524708, acc: 0.765625] [adversarial loss: 0.911298, acc: 0.375000] 9058: [discriminator loss: 0.555697, acc: 0.687500] [adversarial loss: 1.212702, acc: 0.187500] 9059: [discriminator loss: 0.514969, acc: 0.742188] [adversarial loss: 1.202489, acc: 0.234375] 9060: [discriminator loss: 0.612675, acc: 0.656250] [adversarial loss: 0.862126, acc: 0.421875] 9061: [discriminator loss: 0.505079, acc: 0.765625] [adversarial loss: 1.696479, acc: 0.062500] 9062: [discriminator loss: 0.651984, acc: 0.640625] [adversarial loss: 0.807205, acc: 0.421875] 9063: [discriminator loss: 0.564581, acc: 0.703125] [adversarial loss: 1.512119, acc: 0.125000] 9064: [discriminator loss: 0.617621, acc: 0.648438] [adversarial loss: 0.875429, acc: 0.468750] 9065: [discriminator loss: 0.514948, acc: 0.773438] [adversarial loss: 1.292419, acc: 0.187500] 9066: [discriminator loss: 0.563899, acc: 0.710938] [adversarial loss: 1.150382, acc: 0.296875] 9067: [discriminator loss: 0.578393, acc: 0.710938] [adversarial loss: 1.044181, acc: 0.296875] 9068: [discriminator loss: 0.513869, acc: 0.718750] [adversarial loss: 1.374712, acc: 0.218750] 9069: [discriminator loss: 0.483767, acc: 0.773438] [adversarial loss: 1.218088, acc: 0.218750] 9070: [discriminator loss: 0.539434, acc: 0.742188] [adversarial loss: 0.961746, acc: 0.437500] 9071: [discriminator loss: 0.531103, acc: 0.679688] [adversarial loss: 1.490431, acc: 0.078125] 9072: [discriminator loss: 0.611302, acc: 0.664062] [adversarial loss: 0.913327, acc: 0.390625] 9073: [discriminator loss: 0.527217, acc: 0.773438] [adversarial loss: 1.280243, acc: 0.218750] 9074: [discriminator loss: 0.534400, acc: 0.726562] [adversarial loss: 0.916122, acc: 0.421875] 9075: [discriminator loss: 0.535352, acc: 0.726562] [adversarial loss: 1.491209, acc: 0.125000] 9076: [discriminator loss: 0.578303, acc: 0.671875] [adversarial loss: 1.017854, acc: 0.390625] 9077: [discriminator loss: 0.496950, acc: 0.742188] [adversarial loss: 1.002220, acc: 0.453125] 9078: [discriminator loss: 0.528687, acc: 0.734375] [adversarial loss: 0.797185, acc: 0.484375] 9079: [discriminator loss: 0.527283, acc: 0.710938] [adversarial loss: 1.224551, acc: 0.250000] 9080: [discriminator loss: 0.513679, acc: 0.718750] [adversarial loss: 1.443917, acc: 0.125000] 9081: [discriminator loss: 0.529418, acc: 0.703125] [adversarial loss: 1.169878, acc: 0.250000] 9082: [discriminator loss: 0.538454, acc: 0.726562] [adversarial loss: 1.265563, acc: 0.156250] 9083: [discriminator loss: 0.525387, acc: 0.710938] [adversarial loss: 1.241311, acc: 0.281250] 9084: [discriminator loss: 0.573702, acc: 0.679688] [adversarial loss: 1.154265, acc: 0.296875] 9085: [discriminator loss: 0.641484, acc: 0.648438] [adversarial loss: 1.323490, acc: 0.234375] 9086: [discriminator loss: 0.575720, acc: 0.671875] [adversarial loss: 1.021412, acc: 0.375000] 9087: [discriminator loss: 0.532385, acc: 0.742188] [adversarial loss: 1.313178, acc: 0.187500] 9088: [discriminator loss: 0.561436, acc: 0.679688] [adversarial loss: 1.053668, acc: 0.343750] 9089: [discriminator loss: 0.585056, acc: 0.718750] [adversarial loss: 1.522976, acc: 0.125000] 9090: [discriminator loss: 0.549940, acc: 0.710938] [adversarial loss: 1.029564, acc: 0.375000] 9091: [discriminator loss: 0.548066, acc: 0.742188] [adversarial loss: 1.193061, acc: 0.296875] 9092: [discriminator loss: 0.549403, acc: 0.718750] [adversarial loss: 1.092214, acc: 0.265625] 9093: [discriminator loss: 0.518224, acc: 0.757812] [adversarial loss: 1.085616, acc: 0.312500] 9094: [discriminator loss: 0.559092, acc: 0.718750] [adversarial loss: 1.357502, acc: 0.140625] 9095: [discriminator loss: 0.512749, acc: 0.773438] [adversarial loss: 0.878193, acc: 0.375000] 9096: [discriminator loss: 0.590926, acc: 0.671875] [adversarial loss: 1.441045, acc: 0.156250] 9097: [discriminator loss: 0.567005, acc: 0.710938] [adversarial loss: 0.856426, acc: 0.453125] 9098: [discriminator loss: 0.606078, acc: 0.710938] [adversarial loss: 1.670326, acc: 0.140625] 9099: [discriminator loss: 0.575088, acc: 0.656250] [adversarial loss: 0.990162, acc: 0.359375] 9100: [discriminator loss: 0.527339, acc: 0.789062] [adversarial loss: 1.358858, acc: 0.140625] 9101: [discriminator loss: 0.534147, acc: 0.718750] [adversarial loss: 1.007398, acc: 0.296875] 9102: [discriminator loss: 0.510043, acc: 0.742188] [adversarial loss: 1.566384, acc: 0.062500] 9103: [discriminator loss: 0.572850, acc: 0.703125] [adversarial loss: 0.912428, acc: 0.343750] 9104: [discriminator loss: 0.576461, acc: 0.640625] [adversarial loss: 1.216847, acc: 0.250000] 9105: [discriminator loss: 0.570071, acc: 0.703125] [adversarial loss: 1.379897, acc: 0.156250] 9106: [discriminator loss: 0.514399, acc: 0.734375] [adversarial loss: 0.926231, acc: 0.453125] 9107: [discriminator loss: 0.592289, acc: 0.648438] [adversarial loss: 1.313846, acc: 0.203125] 9108: [discriminator loss: 0.585482, acc: 0.671875] [adversarial loss: 1.119905, acc: 0.281250] 9109: [discriminator loss: 0.493859, acc: 0.796875] [adversarial loss: 1.093353, acc: 0.281250] 9110: [discriminator loss: 0.634517, acc: 0.687500] [adversarial loss: 1.326242, acc: 0.109375] 9111: [discriminator loss: 0.573870, acc: 0.664062] [adversarial loss: 0.947992, acc: 0.296875] 9112: [discriminator loss: 0.553229, acc: 0.750000] [adversarial loss: 1.303899, acc: 0.140625] 9113: [discriminator loss: 0.581785, acc: 0.695312] [adversarial loss: 0.975436, acc: 0.312500] 9114: [discriminator loss: 0.516874, acc: 0.695312] [adversarial loss: 1.594126, acc: 0.171875] 9115: [discriminator loss: 0.551776, acc: 0.703125] [adversarial loss: 0.778241, acc: 0.562500] 9116: [discriminator loss: 0.567115, acc: 0.726562] [adversarial loss: 1.334383, acc: 0.187500] 9117: [discriminator loss: 0.457612, acc: 0.804688] [adversarial loss: 1.206317, acc: 0.265625] 9118: [discriminator loss: 0.595351, acc: 0.664062] [adversarial loss: 1.111293, acc: 0.281250] 9119: [discriminator loss: 0.477956, acc: 0.781250] [adversarial loss: 1.184669, acc: 0.156250] 9120: [discriminator loss: 0.501180, acc: 0.773438] [adversarial loss: 1.057023, acc: 0.296875] 9121: [discriminator loss: 0.460092, acc: 0.781250] [adversarial loss: 1.439989, acc: 0.171875] 9122: [discriminator loss: 0.562249, acc: 0.648438] [adversarial loss: 0.966004, acc: 0.328125] 9123: [discriminator loss: 0.487386, acc: 0.757812] [adversarial loss: 1.255196, acc: 0.250000] 9124: [discriminator loss: 0.556927, acc: 0.734375] [adversarial loss: 0.977178, acc: 0.343750] 9125: [discriminator loss: 0.556019, acc: 0.726562] [adversarial loss: 1.570282, acc: 0.078125] 9126: [discriminator loss: 0.662492, acc: 0.625000] [adversarial loss: 0.724587, acc: 0.531250] 9127: [discriminator loss: 0.577324, acc: 0.718750] [adversarial loss: 1.579912, acc: 0.125000] 9128: [discriminator loss: 0.724819, acc: 0.625000] [adversarial loss: 0.787718, acc: 0.484375] 9129: [discriminator loss: 0.596977, acc: 0.687500] [adversarial loss: 1.450034, acc: 0.140625] 9130: [discriminator loss: 0.576865, acc: 0.718750] [adversarial loss: 0.962186, acc: 0.390625] 9131: [discriminator loss: 0.523924, acc: 0.757812] [adversarial loss: 1.137500, acc: 0.250000] 9132: [discriminator loss: 0.544056, acc: 0.726562] [adversarial loss: 1.273757, acc: 0.171875] 9133: [discriminator loss: 0.538755, acc: 0.695312] [adversarial loss: 1.122655, acc: 0.265625] 9134: [discriminator loss: 0.515493, acc: 0.742188] [adversarial loss: 1.124195, acc: 0.265625] 9135: [discriminator loss: 0.554813, acc: 0.742188] [adversarial loss: 0.870614, acc: 0.406250] 9136: [discriminator loss: 0.549669, acc: 0.718750] [adversarial loss: 1.112856, acc: 0.218750] 9137: [discriminator loss: 0.544203, acc: 0.695312] [adversarial loss: 0.928249, acc: 0.312500] 9138: [discriminator loss: 0.567434, acc: 0.710938] [adversarial loss: 1.322840, acc: 0.171875] 9139: [discriminator loss: 0.542729, acc: 0.718750] [adversarial loss: 0.978845, acc: 0.468750] 9140: [discriminator loss: 0.494571, acc: 0.742188] [adversarial loss: 1.446165, acc: 0.125000] 9141: [discriminator loss: 0.537944, acc: 0.750000] [adversarial loss: 0.994994, acc: 0.343750] 9142: [discriminator loss: 0.563100, acc: 0.710938] [adversarial loss: 1.566902, acc: 0.093750] 9143: [discriminator loss: 0.574022, acc: 0.695312] [adversarial loss: 1.057360, acc: 0.296875] 9144: [discriminator loss: 0.501834, acc: 0.757812] [adversarial loss: 1.440956, acc: 0.156250] 9145: [discriminator loss: 0.542917, acc: 0.718750] [adversarial loss: 1.067196, acc: 0.312500] 9146: [discriminator loss: 0.538925, acc: 0.718750] [adversarial loss: 1.024221, acc: 0.281250] 9147: [discriminator loss: 0.578661, acc: 0.679688] [adversarial loss: 1.327192, acc: 0.140625] 9148: [discriminator loss: 0.513708, acc: 0.757812] [adversarial loss: 0.923557, acc: 0.406250] 9149: [discriminator loss: 0.566723, acc: 0.679688] [adversarial loss: 1.469969, acc: 0.109375] 9150: [discriminator loss: 0.573966, acc: 0.664062] [adversarial loss: 0.800719, acc: 0.500000] 9151: [discriminator loss: 0.569603, acc: 0.695312] [adversarial loss: 1.158643, acc: 0.234375] 9152: [discriminator loss: 0.513964, acc: 0.773438] [adversarial loss: 0.863898, acc: 0.453125] 9153: [discriminator loss: 0.527433, acc: 0.765625] [adversarial loss: 1.037355, acc: 0.328125] 9154: [discriminator loss: 0.613685, acc: 0.687500] [adversarial loss: 1.144758, acc: 0.218750] 9155: [discriminator loss: 0.594371, acc: 0.671875] [adversarial loss: 1.266165, acc: 0.281250] 9156: [discriminator loss: 0.580747, acc: 0.664062] [adversarial loss: 1.259668, acc: 0.234375] 9157: [discriminator loss: 0.601448, acc: 0.625000] [adversarial loss: 1.079790, acc: 0.312500] 9158: [discriminator loss: 0.557697, acc: 0.742188] [adversarial loss: 1.276624, acc: 0.250000] 9159: [discriminator loss: 0.567904, acc: 0.664062] [adversarial loss: 0.881935, acc: 0.406250] 9160: [discriminator loss: 0.609132, acc: 0.632812] [adversarial loss: 1.251066, acc: 0.234375] 9161: [discriminator loss: 0.539593, acc: 0.710938] [adversarial loss: 1.071164, acc: 0.296875] 9162: [discriminator loss: 0.542657, acc: 0.734375] [adversarial loss: 1.132600, acc: 0.140625] 9163: [discriminator loss: 0.517971, acc: 0.718750] [adversarial loss: 1.056210, acc: 0.296875] 9164: [discriminator loss: 0.539273, acc: 0.718750] [adversarial loss: 1.423333, acc: 0.109375] 9165: [discriminator loss: 0.532221, acc: 0.734375] [adversarial loss: 0.862379, acc: 0.468750] 9166: [discriminator loss: 0.596961, acc: 0.695312] [adversarial loss: 1.458709, acc: 0.125000] 9167: [discriminator loss: 0.552628, acc: 0.710938] [adversarial loss: 0.889863, acc: 0.312500] 9168: [discriminator loss: 0.585999, acc: 0.695312] [adversarial loss: 1.182876, acc: 0.281250] 9169: [discriminator loss: 0.518450, acc: 0.820312] [adversarial loss: 1.058093, acc: 0.390625] 9170: [discriminator loss: 0.511050, acc: 0.781250] [adversarial loss: 1.161570, acc: 0.234375] 9171: [discriminator loss: 0.556840, acc: 0.703125] [adversarial loss: 1.199009, acc: 0.312500] 9172: [discriminator loss: 0.517101, acc: 0.726562] [adversarial loss: 1.123035, acc: 0.281250] 9173: [discriminator loss: 0.544552, acc: 0.742188] [adversarial loss: 1.591256, acc: 0.031250] 9174: [discriminator loss: 0.568628, acc: 0.703125] [adversarial loss: 0.943279, acc: 0.421875] 9175: [discriminator loss: 0.578130, acc: 0.718750] [adversarial loss: 1.244887, acc: 0.234375] 9176: [discriminator loss: 0.602038, acc: 0.656250] [adversarial loss: 0.987903, acc: 0.328125] 9177: [discriminator loss: 0.530963, acc: 0.750000] [adversarial loss: 1.476070, acc: 0.140625] 9178: [discriminator loss: 0.573822, acc: 0.679688] [adversarial loss: 0.999548, acc: 0.359375] 9179: [discriminator loss: 0.545175, acc: 0.734375] [adversarial loss: 1.447472, acc: 0.078125] 9180: [discriminator loss: 0.541385, acc: 0.718750] [adversarial loss: 1.365755, acc: 0.156250] 9181: [discriminator loss: 0.595024, acc: 0.679688] [adversarial loss: 1.137468, acc: 0.281250] 9182: [discriminator loss: 0.526481, acc: 0.734375] [adversarial loss: 1.220890, acc: 0.171875] 9183: [discriminator loss: 0.545413, acc: 0.726562] [adversarial loss: 0.992700, acc: 0.328125] 9184: [discriminator loss: 0.559721, acc: 0.718750] [adversarial loss: 1.097708, acc: 0.375000] 9185: [discriminator loss: 0.598973, acc: 0.687500] [adversarial loss: 1.321816, acc: 0.093750] 9186: [discriminator loss: 0.520272, acc: 0.734375] [adversarial loss: 1.220613, acc: 0.125000] 9187: [discriminator loss: 0.574935, acc: 0.703125] [adversarial loss: 0.999506, acc: 0.390625] 9188: [discriminator loss: 0.544673, acc: 0.750000] [adversarial loss: 1.065801, acc: 0.328125] 9189: [discriminator loss: 0.646670, acc: 0.648438] [adversarial loss: 1.256580, acc: 0.218750] 9190: [discriminator loss: 0.565682, acc: 0.640625] [adversarial loss: 1.061086, acc: 0.296875] 9191: [discriminator loss: 0.574302, acc: 0.695312] [adversarial loss: 1.218067, acc: 0.156250] 9192: [discriminator loss: 0.569586, acc: 0.687500] [adversarial loss: 1.071024, acc: 0.343750] 9193: [discriminator loss: 0.630824, acc: 0.640625] [adversarial loss: 1.587082, acc: 0.046875] 9194: [discriminator loss: 0.528377, acc: 0.687500] [adversarial loss: 0.856928, acc: 0.453125] 9195: [discriminator loss: 0.622288, acc: 0.703125] [adversarial loss: 1.632783, acc: 0.140625] 9196: [discriminator loss: 0.609739, acc: 0.687500] [adversarial loss: 0.723018, acc: 0.625000] 9197: [discriminator loss: 0.620618, acc: 0.664062] [adversarial loss: 1.557321, acc: 0.093750] 9198: [discriminator loss: 0.626770, acc: 0.656250] [adversarial loss: 0.939935, acc: 0.390625] 9199: [discriminator loss: 0.552925, acc: 0.718750] [adversarial loss: 1.058958, acc: 0.312500] 9200: [discriminator loss: 0.466539, acc: 0.765625] [adversarial loss: 1.296994, acc: 0.140625] 9201: [discriminator loss: 0.556629, acc: 0.718750] [adversarial loss: 0.909184, acc: 0.375000] 9202: [discriminator loss: 0.579928, acc: 0.757812] [adversarial loss: 1.239441, acc: 0.187500] 9203: [discriminator loss: 0.652443, acc: 0.625000] [adversarial loss: 1.008078, acc: 0.375000] 9204: [discriminator loss: 0.571597, acc: 0.710938] [adversarial loss: 1.374535, acc: 0.109375] 9205: [discriminator loss: 0.512640, acc: 0.750000] [adversarial loss: 0.844698, acc: 0.437500] 9206: [discriminator loss: 0.622665, acc: 0.625000] [adversarial loss: 1.313929, acc: 0.109375] 9207: [discriminator loss: 0.599476, acc: 0.640625] [adversarial loss: 0.908597, acc: 0.406250] 9208: [discriminator loss: 0.541136, acc: 0.718750] [adversarial loss: 1.258083, acc: 0.234375] 9209: [discriminator loss: 0.602844, acc: 0.703125] [adversarial loss: 1.263291, acc: 0.234375] 9210: [discriminator loss: 0.549869, acc: 0.757812] [adversarial loss: 0.991369, acc: 0.328125] 9211: [discriminator loss: 0.474114, acc: 0.781250] [adversarial loss: 1.215553, acc: 0.218750] 9212: [discriminator loss: 0.549820, acc: 0.726562] [adversarial loss: 0.995112, acc: 0.265625] 9213: [discriminator loss: 0.597369, acc: 0.640625] [adversarial loss: 1.092491, acc: 0.265625] 9214: [discriminator loss: 0.629442, acc: 0.632812] [adversarial loss: 1.354557, acc: 0.218750] 9215: [discriminator loss: 0.579448, acc: 0.726562] [adversarial loss: 0.808517, acc: 0.453125] 9216: [discriminator loss: 0.590583, acc: 0.703125] [adversarial loss: 1.607877, acc: 0.031250] 9217: [discriminator loss: 0.643083, acc: 0.648438] [adversarial loss: 0.804884, acc: 0.406250] 9218: [discriminator loss: 0.566528, acc: 0.734375] [adversarial loss: 1.296180, acc: 0.156250] 9219: [discriminator loss: 0.474680, acc: 0.781250] [adversarial loss: 1.048798, acc: 0.328125] 9220: [discriminator loss: 0.559189, acc: 0.695312] [adversarial loss: 1.352560, acc: 0.140625] 9221: [discriminator loss: 0.569685, acc: 0.695312] [adversarial loss: 0.980300, acc: 0.390625] 9222: [discriminator loss: 0.501455, acc: 0.773438] [adversarial loss: 1.183442, acc: 0.218750] 9223: [discriminator loss: 0.605939, acc: 0.625000] [adversarial loss: 1.410636, acc: 0.140625] 9224: [discriminator loss: 0.549213, acc: 0.718750] [adversarial loss: 1.020723, acc: 0.375000] 9225: [discriminator loss: 0.642563, acc: 0.640625] [adversarial loss: 1.429157, acc: 0.156250] 9226: [discriminator loss: 0.505940, acc: 0.757812] [adversarial loss: 1.105039, acc: 0.234375] 9227: [discriminator loss: 0.544679, acc: 0.695312] [adversarial loss: 1.193727, acc: 0.234375] 9228: [discriminator loss: 0.488033, acc: 0.781250] [adversarial loss: 1.063980, acc: 0.281250] 9229: [discriminator loss: 0.556571, acc: 0.718750] [adversarial loss: 1.207469, acc: 0.203125] 9230: [discriminator loss: 0.550896, acc: 0.726562] [adversarial loss: 1.123249, acc: 0.250000] 9231: [discriminator loss: 0.525867, acc: 0.742188] [adversarial loss: 1.281469, acc: 0.187500] 9232: [discriminator loss: 0.572471, acc: 0.679688] [adversarial loss: 1.135441, acc: 0.234375] 9233: [discriminator loss: 0.521501, acc: 0.734375] [adversarial loss: 1.399555, acc: 0.156250] 9234: [discriminator loss: 0.584348, acc: 0.687500] [adversarial loss: 1.117654, acc: 0.250000] 9235: [discriminator loss: 0.529446, acc: 0.750000] [adversarial loss: 1.138515, acc: 0.281250] 9236: [discriminator loss: 0.633723, acc: 0.640625] [adversarial loss: 0.989651, acc: 0.343750] 9237: [discriminator loss: 0.596012, acc: 0.695312] [adversarial loss: 1.136151, acc: 0.187500] 9238: [discriminator loss: 0.542657, acc: 0.750000] [adversarial loss: 1.194738, acc: 0.265625] 9239: [discriminator loss: 0.595646, acc: 0.664062] [adversarial loss: 1.197732, acc: 0.250000] 9240: [discriminator loss: 0.557692, acc: 0.710938] [adversarial loss: 1.529463, acc: 0.078125] 9241: [discriminator loss: 0.579539, acc: 0.656250] [adversarial loss: 0.600445, acc: 0.609375] 9242: [discriminator loss: 0.517940, acc: 0.765625] [adversarial loss: 1.295269, acc: 0.234375] 9243: [discriminator loss: 0.579077, acc: 0.710938] [adversarial loss: 0.777434, acc: 0.515625] 9244: [discriminator loss: 0.527777, acc: 0.718750] [adversarial loss: 1.296969, acc: 0.187500] 9245: [discriminator loss: 0.557582, acc: 0.742188] [adversarial loss: 1.134936, acc: 0.265625] 9246: [discriminator loss: 0.509704, acc: 0.781250] [adversarial loss: 1.133580, acc: 0.343750] 9247: [discriminator loss: 0.547859, acc: 0.718750] [adversarial loss: 1.382070, acc: 0.156250] 9248: [discriminator loss: 0.569175, acc: 0.648438] [adversarial loss: 1.089449, acc: 0.234375] 9249: [discriminator loss: 0.588060, acc: 0.679688] [adversarial loss: 1.499418, acc: 0.109375] 9250: [discriminator loss: 0.532993, acc: 0.718750] [adversarial loss: 0.901290, acc: 0.359375] 9251: [discriminator loss: 0.595497, acc: 0.671875] [adversarial loss: 1.447181, acc: 0.109375] 9252: [discriminator loss: 0.612998, acc: 0.656250] [adversarial loss: 0.872658, acc: 0.453125] 9253: [discriminator loss: 0.541535, acc: 0.734375] [adversarial loss: 1.342329, acc: 0.171875] 9254: [discriminator loss: 0.557005, acc: 0.726562] [adversarial loss: 1.210451, acc: 0.281250] 9255: [discriminator loss: 0.593291, acc: 0.671875] [adversarial loss: 1.276316, acc: 0.171875] 9256: [discriminator loss: 0.538647, acc: 0.710938] [adversarial loss: 1.118414, acc: 0.375000] 9257: [discriminator loss: 0.549624, acc: 0.687500] [adversarial loss: 1.238016, acc: 0.234375] 9258: [discriminator loss: 0.540924, acc: 0.695312] [adversarial loss: 1.050869, acc: 0.281250] 9259: [discriminator loss: 0.557871, acc: 0.710938] [adversarial loss: 1.297990, acc: 0.203125] 9260: [discriminator loss: 0.564419, acc: 0.703125] [adversarial loss: 0.948069, acc: 0.406250] 9261: [discriminator loss: 0.551575, acc: 0.679688] [adversarial loss: 1.442277, acc: 0.156250] 9262: [discriminator loss: 0.641563, acc: 0.640625] [adversarial loss: 1.085842, acc: 0.375000] 9263: [discriminator loss: 0.581111, acc: 0.664062] [adversarial loss: 1.396422, acc: 0.203125] 9264: [discriminator loss: 0.603997, acc: 0.679688] [adversarial loss: 0.914580, acc: 0.343750] 9265: [discriminator loss: 0.511973, acc: 0.726562] [adversarial loss: 1.437781, acc: 0.078125] 9266: [discriminator loss: 0.500036, acc: 0.734375] [adversarial loss: 0.854872, acc: 0.406250] 9267: [discriminator loss: 0.603092, acc: 0.671875] [adversarial loss: 1.591968, acc: 0.078125] 9268: [discriminator loss: 0.577486, acc: 0.695312] [adversarial loss: 0.997012, acc: 0.359375] 9269: [discriminator loss: 0.634949, acc: 0.671875] [adversarial loss: 1.227607, acc: 0.109375] 9270: [discriminator loss: 0.565193, acc: 0.695312] [adversarial loss: 1.017014, acc: 0.312500] 9271: [discriminator loss: 0.540300, acc: 0.742188] [adversarial loss: 1.228938, acc: 0.140625] 9272: [discriminator loss: 0.566363, acc: 0.742188] [adversarial loss: 1.102629, acc: 0.265625] 9273: [discriminator loss: 0.475881, acc: 0.765625] [adversarial loss: 1.106523, acc: 0.265625] 9274: [discriminator loss: 0.566885, acc: 0.695312] [adversarial loss: 1.075558, acc: 0.296875] 9275: [discriminator loss: 0.560936, acc: 0.734375] [adversarial loss: 1.089666, acc: 0.296875] 9276: [discriminator loss: 0.505874, acc: 0.742188] [adversarial loss: 1.092375, acc: 0.328125] 9277: [discriminator loss: 0.615582, acc: 0.648438] [adversarial loss: 0.907759, acc: 0.468750] 9278: [discriminator loss: 0.548374, acc: 0.726562] [adversarial loss: 1.170910, acc: 0.265625] 9279: [discriminator loss: 0.554047, acc: 0.687500] [adversarial loss: 1.189540, acc: 0.234375] 9280: [discriminator loss: 0.602559, acc: 0.710938] [adversarial loss: 0.988406, acc: 0.359375] 9281: [discriminator loss: 0.547121, acc: 0.750000] [adversarial loss: 0.964469, acc: 0.375000] 9282: [discriminator loss: 0.533699, acc: 0.718750] [adversarial loss: 1.564008, acc: 0.078125] 9283: [discriminator loss: 0.591518, acc: 0.695312] [adversarial loss: 0.853642, acc: 0.328125] 9284: [discriminator loss: 0.567969, acc: 0.734375] [adversarial loss: 1.445696, acc: 0.171875] 9285: [discriminator loss: 0.593484, acc: 0.656250] [adversarial loss: 0.826194, acc: 0.468750] 9286: [discriminator loss: 0.526447, acc: 0.757812] [adversarial loss: 1.529887, acc: 0.140625] 9287: [discriminator loss: 0.579611, acc: 0.679688] [adversarial loss: 0.810017, acc: 0.437500] 9288: [discriminator loss: 0.601597, acc: 0.695312] [adversarial loss: 1.320304, acc: 0.203125] 9289: [discriminator loss: 0.562684, acc: 0.679688] [adversarial loss: 1.013353, acc: 0.312500] 9290: [discriminator loss: 0.579290, acc: 0.679688] [adversarial loss: 1.249697, acc: 0.187500] 9291: [discriminator loss: 0.417257, acc: 0.820312] [adversarial loss: 1.019439, acc: 0.359375] 9292: [discriminator loss: 0.616729, acc: 0.648438] [adversarial loss: 1.522146, acc: 0.125000] 9293: [discriminator loss: 0.610057, acc: 0.679688] [adversarial loss: 0.950244, acc: 0.375000] 9294: [discriminator loss: 0.591142, acc: 0.687500] [adversarial loss: 1.348476, acc: 0.156250] 9295: [discriminator loss: 0.520204, acc: 0.679688] [adversarial loss: 1.188943, acc: 0.250000] 9296: [discriminator loss: 0.547143, acc: 0.750000] [adversarial loss: 1.257447, acc: 0.218750] 9297: [discriminator loss: 0.572703, acc: 0.664062] [adversarial loss: 1.066690, acc: 0.359375] 9298: [discriminator loss: 0.593419, acc: 0.695312] [adversarial loss: 1.312171, acc: 0.171875] 9299: [discriminator loss: 0.528506, acc: 0.765625] [adversarial loss: 0.931935, acc: 0.390625] 9300: [discriminator loss: 0.538050, acc: 0.664062] [adversarial loss: 1.347321, acc: 0.140625] 9301: [discriminator loss: 0.599528, acc: 0.609375] [adversarial loss: 0.796182, acc: 0.453125] 9302: [discriminator loss: 0.546294, acc: 0.750000] [adversarial loss: 1.379023, acc: 0.125000] 9303: [discriminator loss: 0.545418, acc: 0.750000] [adversarial loss: 0.973172, acc: 0.406250] 9304: [discriminator loss: 0.567883, acc: 0.695312] [adversarial loss: 1.428217, acc: 0.171875] 9305: [discriminator loss: 0.571800, acc: 0.703125] [adversarial loss: 1.051560, acc: 0.343750] 9306: [discriminator loss: 0.531763, acc: 0.742188] [adversarial loss: 1.360233, acc: 0.109375] 9307: [discriminator loss: 0.514189, acc: 0.750000] [adversarial loss: 1.264848, acc: 0.140625] 9308: [discriminator loss: 0.530353, acc: 0.718750] [adversarial loss: 1.060659, acc: 0.312500] 9309: [discriminator loss: 0.507897, acc: 0.789062] [adversarial loss: 1.236244, acc: 0.156250] 9310: [discriminator loss: 0.553218, acc: 0.726562] [adversarial loss: 0.853801, acc: 0.468750] 9311: [discriminator loss: 0.585149, acc: 0.710938] [adversarial loss: 1.445271, acc: 0.140625] 9312: [discriminator loss: 0.523433, acc: 0.703125] [adversarial loss: 0.859619, acc: 0.375000] 9313: [discriminator loss: 0.549268, acc: 0.710938] [adversarial loss: 1.331056, acc: 0.187500] 9314: [discriminator loss: 0.586602, acc: 0.656250] [adversarial loss: 0.838574, acc: 0.421875] 9315: [discriminator loss: 0.536854, acc: 0.703125] [adversarial loss: 1.400483, acc: 0.140625] 9316: [discriminator loss: 0.521927, acc: 0.757812] [adversarial loss: 1.037121, acc: 0.328125] 9317: [discriminator loss: 0.540781, acc: 0.703125] [adversarial loss: 1.053320, acc: 0.250000] 9318: [discriminator loss: 0.559909, acc: 0.742188] [adversarial loss: 1.107262, acc: 0.203125] 9319: [discriminator loss: 0.527463, acc: 0.757812] [adversarial loss: 1.086140, acc: 0.328125] 9320: [discriminator loss: 0.590386, acc: 0.695312] [adversarial loss: 1.100825, acc: 0.375000] 9321: [discriminator loss: 0.588439, acc: 0.671875] [adversarial loss: 1.324636, acc: 0.250000] 9322: [discriminator loss: 0.538752, acc: 0.789062] [adversarial loss: 0.913233, acc: 0.406250] 9323: [discriminator loss: 0.567671, acc: 0.703125] [adversarial loss: 1.083257, acc: 0.312500] 9324: [discriminator loss: 0.461117, acc: 0.781250] [adversarial loss: 1.033246, acc: 0.312500] 9325: [discriminator loss: 0.583569, acc: 0.687500] [adversarial loss: 1.132197, acc: 0.343750] 9326: [discriminator loss: 0.579837, acc: 0.695312] [adversarial loss: 1.127144, acc: 0.250000] 9327: [discriminator loss: 0.590861, acc: 0.640625] [adversarial loss: 1.066491, acc: 0.375000] 9328: [discriminator loss: 0.559544, acc: 0.648438] [adversarial loss: 1.229971, acc: 0.218750] 9329: [discriminator loss: 0.564239, acc: 0.671875] [adversarial loss: 1.011383, acc: 0.312500] 9330: [discriminator loss: 0.535116, acc: 0.664062] [adversarial loss: 1.362833, acc: 0.250000] 9331: [discriminator loss: 0.502737, acc: 0.773438] [adversarial loss: 1.176863, acc: 0.234375] 9332: [discriminator loss: 0.615578, acc: 0.726562] [adversarial loss: 0.915763, acc: 0.375000] 9333: [discriminator loss: 0.523449, acc: 0.765625] [adversarial loss: 1.478130, acc: 0.125000] 9334: [discriminator loss: 0.602867, acc: 0.640625] [adversarial loss: 1.147333, acc: 0.234375] 9335: [discriminator loss: 0.567108, acc: 0.703125] [adversarial loss: 0.896497, acc: 0.453125] 9336: [discriminator loss: 0.575050, acc: 0.671875] [adversarial loss: 1.652943, acc: 0.046875] 9337: [discriminator loss: 0.619239, acc: 0.656250] [adversarial loss: 0.783613, acc: 0.484375] 9338: [discriminator loss: 0.636705, acc: 0.601562] [adversarial loss: 1.776549, acc: 0.046875] 9339: [discriminator loss: 0.621297, acc: 0.664062] [adversarial loss: 0.981115, acc: 0.421875] 9340: [discriminator loss: 0.546152, acc: 0.765625] [adversarial loss: 1.111909, acc: 0.312500] 9341: [discriminator loss: 0.607015, acc: 0.671875] [adversarial loss: 1.021442, acc: 0.234375] 9342: [discriminator loss: 0.536740, acc: 0.742188] [adversarial loss: 1.106839, acc: 0.250000] 9343: [discriminator loss: 0.530320, acc: 0.757812] [adversarial loss: 1.084124, acc: 0.343750] 9344: [discriminator loss: 0.542887, acc: 0.703125] [adversarial loss: 1.134609, acc: 0.218750] 9345: [discriminator loss: 0.531248, acc: 0.726562] [adversarial loss: 0.970887, acc: 0.375000] 9346: [discriminator loss: 0.530947, acc: 0.773438] [adversarial loss: 1.321630, acc: 0.218750] 9347: [discriminator loss: 0.645418, acc: 0.601562] [adversarial loss: 0.995757, acc: 0.328125] 9348: [discriminator loss: 0.595158, acc: 0.640625] [adversarial loss: 1.477496, acc: 0.109375] 9349: [discriminator loss: 0.583335, acc: 0.695312] [adversarial loss: 1.034308, acc: 0.359375] 9350: [discriminator loss: 0.567634, acc: 0.734375] [adversarial loss: 1.249371, acc: 0.234375] 9351: [discriminator loss: 0.556472, acc: 0.703125] [adversarial loss: 1.298169, acc: 0.156250] 9352: [discriminator loss: 0.527889, acc: 0.734375] [adversarial loss: 0.881442, acc: 0.375000] 9353: [discriminator loss: 0.623247, acc: 0.648438] [adversarial loss: 1.491465, acc: 0.125000] 9354: [discriminator loss: 0.625285, acc: 0.593750] [adversarial loss: 0.958094, acc: 0.453125] 9355: [discriminator loss: 0.594970, acc: 0.664062] [adversarial loss: 1.220369, acc: 0.171875] 9356: [discriminator loss: 0.606077, acc: 0.671875] [adversarial loss: 0.824748, acc: 0.421875] 9357: [discriminator loss: 0.567415, acc: 0.664062] [adversarial loss: 1.134790, acc: 0.218750] 9358: [discriminator loss: 0.522961, acc: 0.734375] [adversarial loss: 1.003375, acc: 0.343750] 9359: [discriminator loss: 0.541581, acc: 0.734375] [adversarial loss: 0.840071, acc: 0.468750] 9360: [discriminator loss: 0.566451, acc: 0.703125] [adversarial loss: 1.193600, acc: 0.234375] 9361: [discriminator loss: 0.558334, acc: 0.726562] [adversarial loss: 0.885783, acc: 0.390625] 9362: [discriminator loss: 0.570278, acc: 0.695312] [adversarial loss: 1.085597, acc: 0.250000] 9363: [discriminator loss: 0.550456, acc: 0.742188] [adversarial loss: 1.052794, acc: 0.296875] 9364: [discriminator loss: 0.490400, acc: 0.773438] [adversarial loss: 0.968869, acc: 0.406250] 9365: [discriminator loss: 0.586801, acc: 0.656250] [adversarial loss: 1.211454, acc: 0.265625] 9366: [discriminator loss: 0.540795, acc: 0.726562] [adversarial loss: 0.993728, acc: 0.390625] 9367: [discriminator loss: 0.553922, acc: 0.703125] [adversarial loss: 1.434017, acc: 0.140625] 9368: [discriminator loss: 0.584575, acc: 0.695312] [adversarial loss: 1.044365, acc: 0.265625] 9369: [discriminator loss: 0.627132, acc: 0.625000] [adversarial loss: 1.447653, acc: 0.109375] 9370: [discriminator loss: 0.567884, acc: 0.656250] [adversarial loss: 0.736931, acc: 0.546875] 9371: [discriminator loss: 0.586079, acc: 0.703125] [adversarial loss: 1.360115, acc: 0.187500] 9372: [discriminator loss: 0.567237, acc: 0.734375] [adversarial loss: 0.861258, acc: 0.421875] 9373: [discriminator loss: 0.559638, acc: 0.679688] [adversarial loss: 1.417651, acc: 0.109375] 9374: [discriminator loss: 0.527894, acc: 0.742188] [adversarial loss: 1.058170, acc: 0.328125] 9375: [discriminator loss: 0.597572, acc: 0.703125] [adversarial loss: 1.306132, acc: 0.156250] 9376: [discriminator loss: 0.596254, acc: 0.648438] [adversarial loss: 0.844808, acc: 0.484375] 9377: [discriminator loss: 0.553060, acc: 0.687500] [adversarial loss: 1.480630, acc: 0.109375] 9378: [discriminator loss: 0.590902, acc: 0.695312] [adversarial loss: 0.800609, acc: 0.515625] 9379: [discriminator loss: 0.556980, acc: 0.710938] [adversarial loss: 1.321678, acc: 0.125000] 9380: [discriminator loss: 0.529835, acc: 0.703125] [adversarial loss: 0.959652, acc: 0.359375] 9381: [discriminator loss: 0.566298, acc: 0.718750] [adversarial loss: 1.340562, acc: 0.140625] 9382: [discriminator loss: 0.561481, acc: 0.718750] [adversarial loss: 1.067432, acc: 0.296875] 9383: [discriminator loss: 0.603202, acc: 0.632812] [adversarial loss: 1.481649, acc: 0.093750] 9384: [discriminator loss: 0.559385, acc: 0.703125] [adversarial loss: 0.957979, acc: 0.406250] 9385: [discriminator loss: 0.590326, acc: 0.695312] [adversarial loss: 1.514228, acc: 0.093750] 9386: [discriminator loss: 0.570217, acc: 0.695312] [adversarial loss: 1.041379, acc: 0.328125] 9387: [discriminator loss: 0.564779, acc: 0.703125] [adversarial loss: 1.365639, acc: 0.140625] 9388: [discriminator loss: 0.531864, acc: 0.757812] [adversarial loss: 1.151580, acc: 0.187500] 9389: [discriminator loss: 0.496234, acc: 0.757812] [adversarial loss: 1.279606, acc: 0.265625] 9390: [discriminator loss: 0.507156, acc: 0.781250] [adversarial loss: 1.171367, acc: 0.250000] 9391: [discriminator loss: 0.588454, acc: 0.703125] [adversarial loss: 1.581503, acc: 0.125000] 9392: [discriminator loss: 0.518102, acc: 0.742188] [adversarial loss: 0.930966, acc: 0.468750] 9393: [discriminator loss: 0.576639, acc: 0.664062] [adversarial loss: 1.079427, acc: 0.203125] 9394: [discriminator loss: 0.605637, acc: 0.695312] [adversarial loss: 1.195852, acc: 0.218750] 9395: [discriminator loss: 0.566931, acc: 0.695312] [adversarial loss: 0.966307, acc: 0.359375] 9396: [discriminator loss: 0.491067, acc: 0.804688] [adversarial loss: 1.296278, acc: 0.234375] 9397: [discriminator loss: 0.563642, acc: 0.687500] [adversarial loss: 0.988060, acc: 0.296875] 9398: [discriminator loss: 0.546123, acc: 0.734375] [adversarial loss: 1.406895, acc: 0.125000] 9399: [discriminator loss: 0.557134, acc: 0.703125] [adversarial loss: 0.905303, acc: 0.359375] 9400: [discriminator loss: 0.613742, acc: 0.671875] [adversarial loss: 1.563423, acc: 0.156250] 9401: [discriminator loss: 0.600539, acc: 0.671875] [adversarial loss: 0.789511, acc: 0.468750] 9402: [discriminator loss: 0.647341, acc: 0.664062] [adversarial loss: 1.442137, acc: 0.093750] 9403: [discriminator loss: 0.638467, acc: 0.609375] [adversarial loss: 0.997858, acc: 0.437500] 9404: [discriminator loss: 0.572040, acc: 0.718750] [adversarial loss: 1.437021, acc: 0.140625] 9405: [discriminator loss: 0.621024, acc: 0.640625] [adversarial loss: 1.215162, acc: 0.312500] 9406: [discriminator loss: 0.577542, acc: 0.726562] [adversarial loss: 1.100396, acc: 0.234375] 9407: [discriminator loss: 0.569737, acc: 0.695312] [adversarial loss: 1.068445, acc: 0.281250] 9408: [discriminator loss: 0.541816, acc: 0.742188] [adversarial loss: 1.091105, acc: 0.250000] 9409: [discriminator loss: 0.578023, acc: 0.742188] [adversarial loss: 1.277079, acc: 0.171875] 9410: [discriminator loss: 0.553525, acc: 0.679688] [adversarial loss: 1.000383, acc: 0.390625] 9411: [discriminator loss: 0.545158, acc: 0.757812] [adversarial loss: 1.112658, acc: 0.265625] 9412: [discriminator loss: 0.569920, acc: 0.703125] [adversarial loss: 1.080913, acc: 0.234375] 9413: [discriminator loss: 0.526258, acc: 0.765625] [adversarial loss: 0.993057, acc: 0.343750] 9414: [discriminator loss: 0.555469, acc: 0.710938] [adversarial loss: 1.349503, acc: 0.156250] 9415: [discriminator loss: 0.599956, acc: 0.664062] [adversarial loss: 0.917649, acc: 0.390625] 9416: [discriminator loss: 0.549235, acc: 0.718750] [adversarial loss: 1.511729, acc: 0.093750] 9417: [discriminator loss: 0.568360, acc: 0.664062] [adversarial loss: 0.743327, acc: 0.609375] 9418: [discriminator loss: 0.552287, acc: 0.695312] [adversarial loss: 1.761942, acc: 0.046875] 9419: [discriminator loss: 0.579991, acc: 0.695312] [adversarial loss: 1.105830, acc: 0.312500] 9420: [discriminator loss: 0.540051, acc: 0.750000] [adversarial loss: 1.214622, acc: 0.203125] 9421: [discriminator loss: 0.520540, acc: 0.742188] [adversarial loss: 1.182352, acc: 0.171875] 9422: [discriminator loss: 0.496500, acc: 0.726562] [adversarial loss: 1.058116, acc: 0.218750] 9423: [discriminator loss: 0.540794, acc: 0.726562] [adversarial loss: 1.555461, acc: 0.078125] 9424: [discriminator loss: 0.586312, acc: 0.687500] [adversarial loss: 0.927758, acc: 0.406250] 9425: [discriminator loss: 0.580208, acc: 0.695312] [adversarial loss: 1.472046, acc: 0.125000] 9426: [discriminator loss: 0.458673, acc: 0.781250] [adversarial loss: 1.000315, acc: 0.296875] 9427: [discriminator loss: 0.534275, acc: 0.726562] [adversarial loss: 1.224393, acc: 0.281250] 9428: [discriminator loss: 0.641563, acc: 0.632812] [adversarial loss: 1.170958, acc: 0.250000] 9429: [discriminator loss: 0.537100, acc: 0.687500] [adversarial loss: 1.195872, acc: 0.187500] 9430: [discriminator loss: 0.568826, acc: 0.664062] [adversarial loss: 1.114788, acc: 0.250000] 9431: [discriminator loss: 0.520661, acc: 0.734375] [adversarial loss: 1.053274, acc: 0.218750] 9432: [discriminator loss: 0.496881, acc: 0.789062] [adversarial loss: 1.181745, acc: 0.203125] 9433: [discriminator loss: 0.462699, acc: 0.765625] [adversarial loss: 1.028984, acc: 0.390625] 9434: [discriminator loss: 0.545415, acc: 0.695312] [adversarial loss: 0.996125, acc: 0.375000] 9435: [discriminator loss: 0.617333, acc: 0.671875] [adversarial loss: 1.481052, acc: 0.140625] 9436: [discriminator loss: 0.551713, acc: 0.648438] [adversarial loss: 1.081584, acc: 0.296875] 9437: [discriminator loss: 0.550458, acc: 0.679688] [adversarial loss: 1.418494, acc: 0.203125] 9438: [discriminator loss: 0.558115, acc: 0.734375] [adversarial loss: 1.027691, acc: 0.312500] 9439: [discriminator loss: 0.551595, acc: 0.703125] [adversarial loss: 1.438048, acc: 0.125000] 9440: [discriminator loss: 0.616447, acc: 0.710938] [adversarial loss: 0.763981, acc: 0.500000] 9441: [discriminator loss: 0.510704, acc: 0.765625] [adversarial loss: 1.377130, acc: 0.140625] 9442: [discriminator loss: 0.589467, acc: 0.687500] [adversarial loss: 0.958769, acc: 0.359375] 9443: [discriminator loss: 0.505066, acc: 0.757812] [adversarial loss: 1.234250, acc: 0.203125] 9444: [discriminator loss: 0.524176, acc: 0.718750] [adversarial loss: 1.275935, acc: 0.140625] 9445: [discriminator loss: 0.525369, acc: 0.718750] [adversarial loss: 1.133234, acc: 0.203125] 9446: [discriminator loss: 0.533202, acc: 0.734375] [adversarial loss: 1.272073, acc: 0.171875] 9447: [discriminator loss: 0.489178, acc: 0.773438] [adversarial loss: 1.084996, acc: 0.343750] 9448: [discriminator loss: 0.552137, acc: 0.695312] [adversarial loss: 1.462157, acc: 0.109375] 9449: [discriminator loss: 0.569078, acc: 0.679688] [adversarial loss: 0.932228, acc: 0.390625] 9450: [discriminator loss: 0.590162, acc: 0.656250] [adversarial loss: 1.921750, acc: 0.062500] 9451: [discriminator loss: 0.552965, acc: 0.648438] [adversarial loss: 0.756467, acc: 0.546875] 9452: [discriminator loss: 0.588007, acc: 0.687500] [adversarial loss: 1.534056, acc: 0.156250] 9453: [discriminator loss: 0.557869, acc: 0.757812] [adversarial loss: 0.966154, acc: 0.312500] 9454: [discriminator loss: 0.498260, acc: 0.796875] [adversarial loss: 1.214844, acc: 0.234375] 9455: [discriminator loss: 0.571426, acc: 0.671875] [adversarial loss: 0.950829, acc: 0.406250] 9456: [discriminator loss: 0.583162, acc: 0.664062] [adversarial loss: 1.306053, acc: 0.218750] 9457: [discriminator loss: 0.519655, acc: 0.695312] [adversarial loss: 0.974680, acc: 0.406250] 9458: [discriminator loss: 0.572590, acc: 0.710938] [adversarial loss: 1.350953, acc: 0.218750] 9459: [discriminator loss: 0.527098, acc: 0.718750] [adversarial loss: 0.989153, acc: 0.265625] 9460: [discriminator loss: 0.501595, acc: 0.781250] [adversarial loss: 1.242469, acc: 0.187500] 9461: [discriminator loss: 0.577433, acc: 0.656250] [adversarial loss: 1.023810, acc: 0.328125] 9462: [discriminator loss: 0.632272, acc: 0.640625] [adversarial loss: 1.351562, acc: 0.203125] 9463: [discriminator loss: 0.486006, acc: 0.789062] [adversarial loss: 0.971282, acc: 0.265625] 9464: [discriminator loss: 0.517903, acc: 0.718750] [adversarial loss: 1.356288, acc: 0.234375] 9465: [discriminator loss: 0.538978, acc: 0.710938] [adversarial loss: 0.953713, acc: 0.390625] 9466: [discriminator loss: 0.565378, acc: 0.664062] [adversarial loss: 1.522559, acc: 0.140625] 9467: [discriminator loss: 0.564139, acc: 0.710938] [adversarial loss: 0.823080, acc: 0.484375] 9468: [discriminator loss: 0.501969, acc: 0.718750] [adversarial loss: 1.358117, acc: 0.171875] 9469: [discriminator loss: 0.513986, acc: 0.734375] [adversarial loss: 0.926621, acc: 0.359375] 9470: [discriminator loss: 0.582588, acc: 0.687500] [adversarial loss: 1.264639, acc: 0.234375] 9471: [discriminator loss: 0.544451, acc: 0.710938] [adversarial loss: 1.218040, acc: 0.296875] 9472: [discriminator loss: 0.552646, acc: 0.734375] [adversarial loss: 1.290403, acc: 0.187500] 9473: [discriminator loss: 0.487747, acc: 0.773438] [adversarial loss: 1.142129, acc: 0.265625] 9474: [discriminator loss: 0.573364, acc: 0.664062] [adversarial loss: 1.300813, acc: 0.187500] 9475: [discriminator loss: 0.556301, acc: 0.695312] [adversarial loss: 0.795180, acc: 0.437500] 9476: [discriminator loss: 0.483422, acc: 0.812500] [adversarial loss: 1.384255, acc: 0.187500] 9477: [discriminator loss: 0.536171, acc: 0.750000] [adversarial loss: 0.951304, acc: 0.375000] 9478: [discriminator loss: 0.602413, acc: 0.664062] [adversarial loss: 1.536188, acc: 0.140625] 9479: [discriminator loss: 0.514088, acc: 0.726562] [adversarial loss: 0.978672, acc: 0.390625] 9480: [discriminator loss: 0.519187, acc: 0.734375] [adversarial loss: 1.396416, acc: 0.171875] 9481: [discriminator loss: 0.601451, acc: 0.703125] [adversarial loss: 0.983251, acc: 0.406250] 9482: [discriminator loss: 0.515467, acc: 0.742188] [adversarial loss: 1.223673, acc: 0.234375] 9483: [discriminator loss: 0.565545, acc: 0.664062] [adversarial loss: 0.901798, acc: 0.359375] 9484: [discriminator loss: 0.506736, acc: 0.789062] [adversarial loss: 1.331959, acc: 0.171875] 9485: [discriminator loss: 0.542036, acc: 0.679688] [adversarial loss: 0.939323, acc: 0.359375] 9486: [discriminator loss: 0.573125, acc: 0.679688] [adversarial loss: 1.510001, acc: 0.078125] 9487: [discriminator loss: 0.509892, acc: 0.750000] [adversarial loss: 1.007938, acc: 0.343750] 9488: [discriminator loss: 0.577937, acc: 0.687500] [adversarial loss: 1.370163, acc: 0.187500] 9489: [discriminator loss: 0.558553, acc: 0.718750] [adversarial loss: 0.869090, acc: 0.390625] 9490: [discriminator loss: 0.582847, acc: 0.687500] [adversarial loss: 1.711009, acc: 0.062500] 9491: [discriminator loss: 0.474069, acc: 0.765625] [adversarial loss: 1.046397, acc: 0.421875] 9492: [discriminator loss: 0.604345, acc: 0.679688] [adversarial loss: 1.102378, acc: 0.375000] 9493: [discriminator loss: 0.517907, acc: 0.765625] [adversarial loss: 1.501033, acc: 0.156250] 9494: [discriminator loss: 0.517496, acc: 0.718750] [adversarial loss: 0.910933, acc: 0.437500] 9495: [discriminator loss: 0.557235, acc: 0.703125] [adversarial loss: 1.571773, acc: 0.156250] 9496: [discriminator loss: 0.489789, acc: 0.703125] [adversarial loss: 0.943259, acc: 0.406250] 9497: [discriminator loss: 0.536266, acc: 0.718750] [adversarial loss: 1.281780, acc: 0.203125] 9498: [discriminator loss: 0.508360, acc: 0.750000] [adversarial loss: 0.897927, acc: 0.390625] 9499: [discriminator loss: 0.576297, acc: 0.703125] [adversarial loss: 1.328546, acc: 0.156250] 9500: [discriminator loss: 0.500638, acc: 0.765625] [adversarial loss: 1.173519, acc: 0.218750] 9501: [discriminator loss: 0.583729, acc: 0.687500] [adversarial loss: 1.297306, acc: 0.250000] 9502: [discriminator loss: 0.554512, acc: 0.718750] [adversarial loss: 0.836269, acc: 0.468750] 9503: [discriminator loss: 0.624070, acc: 0.656250] [adversarial loss: 1.649403, acc: 0.093750] 9504: [discriminator loss: 0.527560, acc: 0.726562] [adversarial loss: 0.831088, acc: 0.593750] 9505: [discriminator loss: 0.612326, acc: 0.648438] [adversarial loss: 1.167075, acc: 0.218750] 9506: [discriminator loss: 0.539301, acc: 0.734375] [adversarial loss: 1.383397, acc: 0.171875] 9507: [discriminator loss: 0.561615, acc: 0.703125] [adversarial loss: 0.916185, acc: 0.343750] 9508: [discriminator loss: 0.547381, acc: 0.726562] [adversarial loss: 1.268840, acc: 0.281250] 9509: [discriminator loss: 0.523760, acc: 0.757812] [adversarial loss: 0.900280, acc: 0.343750] 9510: [discriminator loss: 0.519612, acc: 0.750000] [adversarial loss: 1.221198, acc: 0.203125] 9511: [discriminator loss: 0.496948, acc: 0.710938] [adversarial loss: 1.141191, acc: 0.234375] 9512: [discriminator loss: 0.511985, acc: 0.789062] [adversarial loss: 1.045432, acc: 0.437500] 9513: [discriminator loss: 0.599564, acc: 0.664062] [adversarial loss: 1.089414, acc: 0.281250] 9514: [discriminator loss: 0.510248, acc: 0.789062] [adversarial loss: 1.421770, acc: 0.109375] 9515: [discriminator loss: 0.543667, acc: 0.718750] [adversarial loss: 1.095613, acc: 0.296875] 9516: [discriminator loss: 0.541692, acc: 0.718750] [adversarial loss: 1.143013, acc: 0.234375] 9517: [discriminator loss: 0.548981, acc: 0.679688] [adversarial loss: 1.203496, acc: 0.250000] 9518: [discriminator loss: 0.590605, acc: 0.664062] [adversarial loss: 1.394442, acc: 0.125000] 9519: [discriminator loss: 0.577430, acc: 0.679688] [adversarial loss: 1.202078, acc: 0.250000] 9520: [discriminator loss: 0.535420, acc: 0.765625] [adversarial loss: 1.201954, acc: 0.171875] 9521: [discriminator loss: 0.560230, acc: 0.664062] [adversarial loss: 1.183432, acc: 0.281250] 9522: [discriminator loss: 0.527925, acc: 0.703125] [adversarial loss: 1.086079, acc: 0.328125] 9523: [discriminator loss: 0.554813, acc: 0.742188] [adversarial loss: 1.124889, acc: 0.234375] 9524: [discriminator loss: 0.581326, acc: 0.695312] [adversarial loss: 1.345084, acc: 0.171875] 9525: [discriminator loss: 0.513065, acc: 0.804688] [adversarial loss: 0.868613, acc: 0.390625] 9526: [discriminator loss: 0.602301, acc: 0.687500] [adversarial loss: 1.484000, acc: 0.171875] 9527: [discriminator loss: 0.600264, acc: 0.648438] [adversarial loss: 0.991258, acc: 0.343750] 9528: [discriminator loss: 0.582645, acc: 0.710938] [adversarial loss: 1.171961, acc: 0.234375] 9529: [discriminator loss: 0.578496, acc: 0.664062] [adversarial loss: 1.274614, acc: 0.156250] 9530: [discriminator loss: 0.581485, acc: 0.695312] [adversarial loss: 1.094880, acc: 0.234375] 9531: [discriminator loss: 0.579775, acc: 0.687500] [adversarial loss: 1.373014, acc: 0.171875] 9532: [discriminator loss: 0.557412, acc: 0.742188] [adversarial loss: 0.940330, acc: 0.406250] 9533: [discriminator loss: 0.543544, acc: 0.734375] [adversarial loss: 1.334112, acc: 0.140625] 9534: [discriminator loss: 0.529226, acc: 0.742188] [adversarial loss: 0.907099, acc: 0.375000] 9535: [discriminator loss: 0.560034, acc: 0.671875] [adversarial loss: 1.345618, acc: 0.109375] 9536: [discriminator loss: 0.545895, acc: 0.718750] [adversarial loss: 0.969471, acc: 0.375000] 9537: [discriminator loss: 0.673729, acc: 0.640625] [adversarial loss: 1.501308, acc: 0.125000] 9538: [discriminator loss: 0.624355, acc: 0.632812] [adversarial loss: 0.921091, acc: 0.343750] 9539: [discriminator loss: 0.559312, acc: 0.734375] [adversarial loss: 1.649202, acc: 0.031250] 9540: [discriminator loss: 0.605112, acc: 0.664062] [adversarial loss: 0.882355, acc: 0.375000] 9541: [discriminator loss: 0.518304, acc: 0.734375] [adversarial loss: 1.350218, acc: 0.203125] 9542: [discriminator loss: 0.556983, acc: 0.710938] [adversarial loss: 1.163192, acc: 0.343750] 9543: [discriminator loss: 0.470431, acc: 0.796875] [adversarial loss: 1.170979, acc: 0.234375] 9544: [discriminator loss: 0.544008, acc: 0.718750] [adversarial loss: 1.006427, acc: 0.390625] 9545: [discriminator loss: 0.581468, acc: 0.601562] [adversarial loss: 1.392908, acc: 0.156250] 9546: [discriminator loss: 0.558907, acc: 0.703125] [adversarial loss: 0.963109, acc: 0.281250] 9547: [discriminator loss: 0.563379, acc: 0.718750] [adversarial loss: 1.171631, acc: 0.218750] 9548: [discriminator loss: 0.563811, acc: 0.710938] [adversarial loss: 1.126515, acc: 0.234375] 9549: [discriminator loss: 0.558409, acc: 0.742188] [adversarial loss: 0.931244, acc: 0.359375] 9550: [discriminator loss: 0.618570, acc: 0.695312] [adversarial loss: 1.407548, acc: 0.156250] 9551: [discriminator loss: 0.613676, acc: 0.695312] [adversarial loss: 0.936065, acc: 0.328125] 9552: [discriminator loss: 0.501992, acc: 0.750000] [adversarial loss: 1.338114, acc: 0.187500] 9553: [discriminator loss: 0.530215, acc: 0.710938] [adversarial loss: 1.148533, acc: 0.250000] 9554: [discriminator loss: 0.640998, acc: 0.656250] [adversarial loss: 1.196703, acc: 0.218750] 9555: [discriminator loss: 0.627877, acc: 0.664062] [adversarial loss: 0.927360, acc: 0.328125] 9556: [discriminator loss: 0.602898, acc: 0.703125] [adversarial loss: 1.197689, acc: 0.187500] 9557: [discriminator loss: 0.519324, acc: 0.742188] [adversarial loss: 0.968524, acc: 0.359375] 9558: [discriminator loss: 0.527418, acc: 0.757812] [adversarial loss: 1.135580, acc: 0.125000] 9559: [discriminator loss: 0.524241, acc: 0.757812] [adversarial loss: 0.801190, acc: 0.515625] 9560: [discriminator loss: 0.552186, acc: 0.671875] [adversarial loss: 1.424422, acc: 0.171875] 9561: [discriminator loss: 0.511992, acc: 0.718750] [adversarial loss: 0.936178, acc: 0.390625] 9562: [discriminator loss: 0.567531, acc: 0.718750] [adversarial loss: 1.270277, acc: 0.203125] 9563: [discriminator loss: 0.566818, acc: 0.726562] [adversarial loss: 1.081559, acc: 0.281250] 9564: [discriminator loss: 0.555367, acc: 0.703125] [adversarial loss: 1.278940, acc: 0.187500] 9565: [discriminator loss: 0.559792, acc: 0.710938] [adversarial loss: 0.952200, acc: 0.390625] 9566: [discriminator loss: 0.596168, acc: 0.625000] [adversarial loss: 1.490589, acc: 0.078125] 9567: [discriminator loss: 0.613829, acc: 0.671875] [adversarial loss: 0.937287, acc: 0.359375] 9568: [discriminator loss: 0.555455, acc: 0.757812] [adversarial loss: 1.336922, acc: 0.156250] 9569: [discriminator loss: 0.619794, acc: 0.664062] [adversarial loss: 1.261225, acc: 0.156250] 9570: [discriminator loss: 0.605215, acc: 0.695312] [adversarial loss: 1.179485, acc: 0.187500] 9571: [discriminator loss: 0.527307, acc: 0.750000] [adversarial loss: 1.037448, acc: 0.203125] 9572: [discriminator loss: 0.559628, acc: 0.773438] [adversarial loss: 1.050064, acc: 0.359375] 9573: [discriminator loss: 0.521731, acc: 0.726562] [adversarial loss: 1.146960, acc: 0.187500] 9574: [discriminator loss: 0.522644, acc: 0.757812] [adversarial loss: 0.912406, acc: 0.390625] 9575: [discriminator loss: 0.543882, acc: 0.718750] [adversarial loss: 1.473867, acc: 0.140625] 9576: [discriminator loss: 0.605739, acc: 0.656250] [adversarial loss: 0.820093, acc: 0.484375] 9577: [discriminator loss: 0.510456, acc: 0.710938] [adversarial loss: 1.491199, acc: 0.109375] 9578: [discriminator loss: 0.617604, acc: 0.648438] [adversarial loss: 0.828171, acc: 0.484375] 9579: [discriminator loss: 0.576285, acc: 0.671875] [adversarial loss: 1.522736, acc: 0.109375] 9580: [discriminator loss: 0.521199, acc: 0.718750] [adversarial loss: 1.002835, acc: 0.359375] 9581: [discriminator loss: 0.551399, acc: 0.742188] [adversarial loss: 1.201783, acc: 0.234375] 9582: [discriminator loss: 0.547359, acc: 0.726562] [adversarial loss: 0.941641, acc: 0.343750] 9583: [discriminator loss: 0.542157, acc: 0.773438] [adversarial loss: 1.132076, acc: 0.234375] 9584: [discriminator loss: 0.526184, acc: 0.718750] [adversarial loss: 1.258122, acc: 0.171875] 9585: [discriminator loss: 0.517024, acc: 0.718750] [adversarial loss: 1.020178, acc: 0.296875] 9586: [discriminator loss: 0.514917, acc: 0.710938] [adversarial loss: 1.454404, acc: 0.171875] 9587: [discriminator loss: 0.568048, acc: 0.703125] [adversarial loss: 0.926568, acc: 0.343750] 9588: [discriminator loss: 0.547015, acc: 0.796875] [adversarial loss: 1.551104, acc: 0.093750] 9589: [discriminator loss: 0.600787, acc: 0.664062] [adversarial loss: 0.668714, acc: 0.625000] 9590: [discriminator loss: 0.602054, acc: 0.710938] [adversarial loss: 1.830758, acc: 0.109375] 9591: [discriminator loss: 0.620439, acc: 0.648438] [adversarial loss: 0.898507, acc: 0.375000] 9592: [discriminator loss: 0.536480, acc: 0.703125] [adversarial loss: 1.014966, acc: 0.406250] 9593: [discriminator loss: 0.515671, acc: 0.757812] [adversarial loss: 1.054432, acc: 0.312500] 9594: [discriminator loss: 0.516150, acc: 0.757812] [adversarial loss: 1.031612, acc: 0.312500] 9595: [discriminator loss: 0.525611, acc: 0.742188] [adversarial loss: 1.016931, acc: 0.390625] 9596: [discriminator loss: 0.550514, acc: 0.695312] [adversarial loss: 1.165275, acc: 0.250000] 9597: [discriminator loss: 0.528721, acc: 0.742188] [adversarial loss: 1.002476, acc: 0.390625] 9598: [discriminator loss: 0.562504, acc: 0.718750] [adversarial loss: 1.339327, acc: 0.125000] 9599: [discriminator loss: 0.524952, acc: 0.750000] [adversarial loss: 1.177010, acc: 0.312500] 9600: [discriminator loss: 0.580226, acc: 0.695312] [adversarial loss: 1.151565, acc: 0.296875] 9601: [discriminator loss: 0.531935, acc: 0.726562] [adversarial loss: 1.100478, acc: 0.281250] 9602: [discriminator loss: 0.559346, acc: 0.664062] [adversarial loss: 1.105486, acc: 0.250000] 9603: [discriminator loss: 0.513681, acc: 0.710938] [adversarial loss: 1.356133, acc: 0.171875] 9604: [discriminator loss: 0.547594, acc: 0.750000] [adversarial loss: 1.374868, acc: 0.156250] 9605: [discriminator loss: 0.554319, acc: 0.710938] [adversarial loss: 1.083691, acc: 0.296875] 9606: [discriminator loss: 0.631762, acc: 0.664062] [adversarial loss: 1.285751, acc: 0.109375] 9607: [discriminator loss: 0.566376, acc: 0.726562] [adversarial loss: 1.303097, acc: 0.109375] 9608: [discriminator loss: 0.585329, acc: 0.664062] [adversarial loss: 0.769244, acc: 0.500000] 9609: [discriminator loss: 0.652748, acc: 0.640625] [adversarial loss: 1.677952, acc: 0.078125] 9610: [discriminator loss: 0.663293, acc: 0.632812] [adversarial loss: 0.744791, acc: 0.562500] 9611: [discriminator loss: 0.602523, acc: 0.695312] [adversarial loss: 1.575158, acc: 0.109375] 9612: [discriminator loss: 0.550245, acc: 0.742188] [adversarial loss: 1.124600, acc: 0.296875] 9613: [discriminator loss: 0.595982, acc: 0.679688] [adversarial loss: 1.078327, acc: 0.218750] 9614: [discriminator loss: 0.545974, acc: 0.726562] [adversarial loss: 1.218559, acc: 0.187500] 9615: [discriminator loss: 0.477938, acc: 0.773438] [adversarial loss: 1.284789, acc: 0.265625] 9616: [discriminator loss: 0.601798, acc: 0.648438] [adversarial loss: 1.178497, acc: 0.250000] 9617: [discriminator loss: 0.588176, acc: 0.703125] [adversarial loss: 1.058506, acc: 0.375000] 9618: [discriminator loss: 0.554993, acc: 0.750000] [adversarial loss: 0.974813, acc: 0.359375] 9619: [discriminator loss: 0.573999, acc: 0.695312] [adversarial loss: 1.175923, acc: 0.281250] 9620: [discriminator loss: 0.523247, acc: 0.781250] [adversarial loss: 1.304458, acc: 0.125000] 9621: [discriminator loss: 0.557397, acc: 0.710938] [adversarial loss: 0.951201, acc: 0.343750] 9622: [discriminator loss: 0.654696, acc: 0.609375] [adversarial loss: 1.430274, acc: 0.125000] 9623: [discriminator loss: 0.551547, acc: 0.710938] [adversarial loss: 0.902554, acc: 0.453125] 9624: [discriminator loss: 0.603881, acc: 0.664062] [adversarial loss: 1.495874, acc: 0.125000] 9625: [discriminator loss: 0.585670, acc: 0.656250] [adversarial loss: 0.882263, acc: 0.453125] 9626: [discriminator loss: 0.475427, acc: 0.796875] [adversarial loss: 1.232507, acc: 0.171875] 9627: [discriminator loss: 0.564401, acc: 0.703125] [adversarial loss: 0.994303, acc: 0.359375] 9628: [discriminator loss: 0.569188, acc: 0.679688] [adversarial loss: 1.208886, acc: 0.203125] 9629: [discriminator loss: 0.548193, acc: 0.750000] [adversarial loss: 1.185988, acc: 0.265625] 9630: [discriminator loss: 0.573200, acc: 0.648438] [adversarial loss: 1.057216, acc: 0.265625] 9631: [discriminator loss: 0.496182, acc: 0.789062] [adversarial loss: 1.259240, acc: 0.218750] 9632: [discriminator loss: 0.530441, acc: 0.726562] [adversarial loss: 0.957490, acc: 0.328125] 9633: [discriminator loss: 0.582448, acc: 0.703125] [adversarial loss: 1.645766, acc: 0.078125] 9634: [discriminator loss: 0.614538, acc: 0.632812] [adversarial loss: 0.777943, acc: 0.453125] 9635: [discriminator loss: 0.506620, acc: 0.781250] [adversarial loss: 1.375730, acc: 0.171875] 9636: [discriminator loss: 0.543056, acc: 0.765625] [adversarial loss: 1.280327, acc: 0.250000] 9637: [discriminator loss: 0.508833, acc: 0.757812] [adversarial loss: 1.107167, acc: 0.265625] 9638: [discriminator loss: 0.561200, acc: 0.671875] [adversarial loss: 1.379378, acc: 0.156250] 9639: [discriminator loss: 0.640731, acc: 0.640625] [adversarial loss: 0.878945, acc: 0.437500] 9640: [discriminator loss: 0.560574, acc: 0.710938] [adversarial loss: 1.207339, acc: 0.187500] 9641: [discriminator loss: 0.576068, acc: 0.640625] [adversarial loss: 0.822568, acc: 0.546875] 9642: [discriminator loss: 0.560473, acc: 0.710938] [adversarial loss: 1.411432, acc: 0.156250] 9643: [discriminator loss: 0.522642, acc: 0.742188] [adversarial loss: 1.019577, acc: 0.281250] 9644: [discriminator loss: 0.550862, acc: 0.695312] [adversarial loss: 1.213899, acc: 0.234375] 9645: [discriminator loss: 0.514903, acc: 0.781250] [adversarial loss: 1.206857, acc: 0.312500] 9646: [discriminator loss: 0.601653, acc: 0.671875] [adversarial loss: 1.198864, acc: 0.265625] 9647: [discriminator loss: 0.545083, acc: 0.757812] [adversarial loss: 1.255478, acc: 0.187500] 9648: [discriminator loss: 0.584771, acc: 0.648438] [adversarial loss: 0.873032, acc: 0.390625] 9649: [discriminator loss: 0.469687, acc: 0.835938] [adversarial loss: 1.458756, acc: 0.109375] 9650: [discriminator loss: 0.527369, acc: 0.718750] [adversarial loss: 1.121680, acc: 0.296875] 9651: [discriminator loss: 0.617699, acc: 0.695312] [adversarial loss: 1.399595, acc: 0.250000] 9652: [discriminator loss: 0.483418, acc: 0.789062] [adversarial loss: 1.171532, acc: 0.312500] 9653: [discriminator loss: 0.600886, acc: 0.656250] [adversarial loss: 1.277902, acc: 0.140625] 9654: [discriminator loss: 0.573438, acc: 0.726562] [adversarial loss: 1.062435, acc: 0.312500] 9655: [discriminator loss: 0.567270, acc: 0.726562] [adversarial loss: 1.268562, acc: 0.140625] 9656: [discriminator loss: 0.493759, acc: 0.750000] [adversarial loss: 0.784491, acc: 0.593750] 9657: [discriminator loss: 0.553085, acc: 0.671875] [adversarial loss: 1.430756, acc: 0.109375] 9658: [discriminator loss: 0.497862, acc: 0.757812] [adversarial loss: 0.885426, acc: 0.359375] 9659: [discriminator loss: 0.623864, acc: 0.664062] [adversarial loss: 1.105771, acc: 0.343750] 9660: [discriminator loss: 0.490337, acc: 0.765625] [adversarial loss: 1.131548, acc: 0.250000] 9661: [discriminator loss: 0.523182, acc: 0.710938] [adversarial loss: 1.085623, acc: 0.250000] 9662: [discriminator loss: 0.580528, acc: 0.671875] [adversarial loss: 1.254420, acc: 0.203125] 9663: [discriminator loss: 0.540187, acc: 0.703125] [adversarial loss: 0.853104, acc: 0.484375] 9664: [discriminator loss: 0.501298, acc: 0.773438] [adversarial loss: 1.270007, acc: 0.218750] 9665: [discriminator loss: 0.613864, acc: 0.656250] [adversarial loss: 1.037439, acc: 0.296875] 9666: [discriminator loss: 0.572180, acc: 0.648438] [adversarial loss: 1.412030, acc: 0.187500] 9667: [discriminator loss: 0.530654, acc: 0.695312] [adversarial loss: 0.929087, acc: 0.500000] 9668: [discriminator loss: 0.586259, acc: 0.718750] [adversarial loss: 1.366375, acc: 0.171875] 9669: [discriminator loss: 0.584472, acc: 0.679688] [adversarial loss: 0.859999, acc: 0.437500] 9670: [discriminator loss: 0.505694, acc: 0.804688] [adversarial loss: 1.093709, acc: 0.343750] 9671: [discriminator loss: 0.560358, acc: 0.726562] [adversarial loss: 1.013442, acc: 0.281250] 9672: [discriminator loss: 0.563665, acc: 0.726562] [adversarial loss: 1.492645, acc: 0.125000] 9673: [discriminator loss: 0.609852, acc: 0.687500] [adversarial loss: 0.933007, acc: 0.453125] 9674: [discriminator loss: 0.589603, acc: 0.703125] [adversarial loss: 1.432636, acc: 0.187500] 9675: [discriminator loss: 0.543436, acc: 0.687500] [adversarial loss: 1.070024, acc: 0.265625] 9676: [discriminator loss: 0.506243, acc: 0.804688] [adversarial loss: 1.340325, acc: 0.140625] 9677: [discriminator loss: 0.543118, acc: 0.687500] [adversarial loss: 1.154821, acc: 0.203125] 9678: [discriminator loss: 0.529711, acc: 0.742188] [adversarial loss: 1.210647, acc: 0.203125] 9679: [discriminator loss: 0.548827, acc: 0.734375] [adversarial loss: 0.889242, acc: 0.421875] 9680: [discriminator loss: 0.548337, acc: 0.703125] [adversarial loss: 1.487967, acc: 0.109375] 9681: [discriminator loss: 0.638688, acc: 0.640625] [adversarial loss: 0.842043, acc: 0.421875] 9682: [discriminator loss: 0.582676, acc: 0.742188] [adversarial loss: 1.535969, acc: 0.171875] 9683: [discriminator loss: 0.598558, acc: 0.679688] [adversarial loss: 0.970700, acc: 0.296875] 9684: [discriminator loss: 0.634041, acc: 0.617188] [adversarial loss: 1.465851, acc: 0.171875] 9685: [discriminator loss: 0.578324, acc: 0.695312] [adversarial loss: 0.954592, acc: 0.406250] 9686: [discriminator loss: 0.518939, acc: 0.750000] [adversarial loss: 1.119420, acc: 0.265625] 9687: [discriminator loss: 0.534819, acc: 0.726562] [adversarial loss: 0.958926, acc: 0.359375] 9688: [discriminator loss: 0.524029, acc: 0.726562] [adversarial loss: 1.304233, acc: 0.234375] 9689: [discriminator loss: 0.618539, acc: 0.632812] [adversarial loss: 1.037027, acc: 0.265625] 9690: [discriminator loss: 0.553026, acc: 0.718750] [adversarial loss: 1.308363, acc: 0.203125] 9691: [discriminator loss: 0.557881, acc: 0.726562] [adversarial loss: 0.872129, acc: 0.328125] 9692: [discriminator loss: 0.558671, acc: 0.726562] [adversarial loss: 1.493072, acc: 0.109375] 9693: [discriminator loss: 0.601600, acc: 0.679688] [adversarial loss: 0.940264, acc: 0.343750] 9694: [discriminator loss: 0.654320, acc: 0.664062] [adversarial loss: 1.494669, acc: 0.125000] 9695: [discriminator loss: 0.575950, acc: 0.687500] [adversarial loss: 0.824410, acc: 0.453125] 9696: [discriminator loss: 0.580122, acc: 0.726562] [adversarial loss: 1.442535, acc: 0.109375] 9697: [discriminator loss: 0.574835, acc: 0.695312] [adversarial loss: 0.844908, acc: 0.468750] 9698: [discriminator loss: 0.613367, acc: 0.640625] [adversarial loss: 1.102081, acc: 0.281250] 9699: [discriminator loss: 0.568769, acc: 0.695312] [adversarial loss: 0.913557, acc: 0.421875] 9700: [discriminator loss: 0.556929, acc: 0.695312] [adversarial loss: 1.365426, acc: 0.156250] 9701: [discriminator loss: 0.539417, acc: 0.726562] [adversarial loss: 0.982105, acc: 0.312500] 9702: [discriminator loss: 0.621363, acc: 0.718750] [adversarial loss: 1.052218, acc: 0.328125] 9703: [discriminator loss: 0.512923, acc: 0.718750] [adversarial loss: 1.219504, acc: 0.156250] 9704: [discriminator loss: 0.537857, acc: 0.710938] [adversarial loss: 1.139312, acc: 0.250000] 9705: [discriminator loss: 0.518108, acc: 0.757812] [adversarial loss: 1.219746, acc: 0.296875] 9706: [discriminator loss: 0.536204, acc: 0.750000] [adversarial loss: 1.155745, acc: 0.218750] 9707: [discriminator loss: 0.552680, acc: 0.742188] [adversarial loss: 1.341931, acc: 0.187500] 9708: [discriminator loss: 0.542696, acc: 0.734375] [adversarial loss: 1.001436, acc: 0.359375] 9709: [discriminator loss: 0.563345, acc: 0.734375] [adversarial loss: 1.331836, acc: 0.187500] 9710: [discriminator loss: 0.558035, acc: 0.687500] [adversarial loss: 1.100897, acc: 0.234375] 9711: [discriminator loss: 0.503665, acc: 0.757812] [adversarial loss: 1.202215, acc: 0.203125] 9712: [discriminator loss: 0.495161, acc: 0.757812] [adversarial loss: 1.018768, acc: 0.281250] 9713: [discriminator loss: 0.538739, acc: 0.695312] [adversarial loss: 1.478922, acc: 0.140625] 9714: [discriminator loss: 0.543971, acc: 0.718750] [adversarial loss: 0.785691, acc: 0.546875] 9715: [discriminator loss: 0.704247, acc: 0.640625] [adversarial loss: 1.774246, acc: 0.078125] 9716: [discriminator loss: 0.624607, acc: 0.656250] [adversarial loss: 0.768256, acc: 0.515625] 9717: [discriminator loss: 0.606149, acc: 0.625000] [adversarial loss: 1.190245, acc: 0.203125] 9718: [discriminator loss: 0.590831, acc: 0.695312] [adversarial loss: 1.023825, acc: 0.312500] 9719: [discriminator loss: 0.546971, acc: 0.703125] [adversarial loss: 1.183657, acc: 0.265625] 9720: [discriminator loss: 0.538132, acc: 0.695312] [adversarial loss: 1.069377, acc: 0.312500] 9721: [discriminator loss: 0.584491, acc: 0.679688] [adversarial loss: 1.511144, acc: 0.109375] 9722: [discriminator loss: 0.574709, acc: 0.687500] [adversarial loss: 0.931240, acc: 0.390625] 9723: [discriminator loss: 0.510549, acc: 0.750000] [adversarial loss: 1.709775, acc: 0.000000] 9724: [discriminator loss: 0.591551, acc: 0.664062] [adversarial loss: 0.790111, acc: 0.515625] 9725: [discriminator loss: 0.569166, acc: 0.718750] [adversarial loss: 1.347827, acc: 0.140625] 9726: [discriminator loss: 0.628351, acc: 0.625000] [adversarial loss: 0.992853, acc: 0.375000] 9727: [discriminator loss: 0.548062, acc: 0.703125] [adversarial loss: 1.359402, acc: 0.187500] 9728: [discriminator loss: 0.502659, acc: 0.757812] [adversarial loss: 0.799272, acc: 0.484375] 9729: [discriminator loss: 0.567339, acc: 0.710938] [adversarial loss: 1.555218, acc: 0.078125] 9730: [discriminator loss: 0.514686, acc: 0.695312] [adversarial loss: 1.059045, acc: 0.234375] 9731: [discriminator loss: 0.607720, acc: 0.648438] [adversarial loss: 1.255089, acc: 0.156250] 9732: [discriminator loss: 0.525203, acc: 0.742188] [adversarial loss: 1.147133, acc: 0.218750] 9733: [discriminator loss: 0.578726, acc: 0.742188] [adversarial loss: 1.261082, acc: 0.203125] 9734: [discriminator loss: 0.524523, acc: 0.750000] [adversarial loss: 1.091276, acc: 0.343750] 9735: [discriminator loss: 0.517758, acc: 0.765625] [adversarial loss: 0.911178, acc: 0.343750] 9736: [discriminator loss: 0.564300, acc: 0.695312] [adversarial loss: 1.348115, acc: 0.125000] 9737: [discriminator loss: 0.571918, acc: 0.679688] [adversarial loss: 1.119719, acc: 0.296875] 9738: [discriminator loss: 0.537926, acc: 0.781250] [adversarial loss: 1.190240, acc: 0.250000] 9739: [discriminator loss: 0.520390, acc: 0.757812] [adversarial loss: 0.871320, acc: 0.390625] 9740: [discriminator loss: 0.530068, acc: 0.742188] [adversarial loss: 1.076568, acc: 0.343750] 9741: [discriminator loss: 0.514181, acc: 0.734375] [adversarial loss: 1.228409, acc: 0.203125] 9742: [discriminator loss: 0.536124, acc: 0.773438] [adversarial loss: 1.084954, acc: 0.218750] 9743: [discriminator loss: 0.502429, acc: 0.765625] [adversarial loss: 1.229623, acc: 0.218750] 9744: [discriminator loss: 0.496702, acc: 0.773438] [adversarial loss: 1.087286, acc: 0.265625] 9745: [discriminator loss: 0.570746, acc: 0.703125] [adversarial loss: 1.212777, acc: 0.281250] 9746: [discriminator loss: 0.591400, acc: 0.695312] [adversarial loss: 1.272099, acc: 0.140625] 9747: [discriminator loss: 0.585318, acc: 0.703125] [adversarial loss: 1.234831, acc: 0.250000] 9748: [discriminator loss: 0.607148, acc: 0.664062] [adversarial loss: 1.285447, acc: 0.187500] 9749: [discriminator loss: 0.522181, acc: 0.742188] [adversarial loss: 0.895469, acc: 0.531250] 9750: [discriminator loss: 0.615766, acc: 0.648438] [adversarial loss: 1.580534, acc: 0.109375] 9751: [discriminator loss: 0.632525, acc: 0.632812] [adversarial loss: 0.683731, acc: 0.562500] 9752: [discriminator loss: 0.688266, acc: 0.617188] [adversarial loss: 1.584759, acc: 0.125000] 9753: [discriminator loss: 0.596424, acc: 0.679688] [adversarial loss: 0.863723, acc: 0.406250] 9754: [discriminator loss: 0.563563, acc: 0.734375] [adversarial loss: 1.445722, acc: 0.156250] 9755: [discriminator loss: 0.543680, acc: 0.734375] [adversarial loss: 1.136464, acc: 0.281250] 9756: [discriminator loss: 0.560342, acc: 0.734375] [adversarial loss: 0.995359, acc: 0.328125] 9757: [discriminator loss: 0.616867, acc: 0.656250] [adversarial loss: 1.228357, acc: 0.171875] 9758: [discriminator loss: 0.503537, acc: 0.742188] [adversarial loss: 1.099063, acc: 0.218750] 9759: [discriminator loss: 0.494342, acc: 0.812500] [adversarial loss: 1.029985, acc: 0.296875] 9760: [discriminator loss: 0.620040, acc: 0.632812] [adversarial loss: 0.959035, acc: 0.421875] 9761: [discriminator loss: 0.561277, acc: 0.687500] [adversarial loss: 1.211122, acc: 0.218750] 9762: [discriminator loss: 0.526981, acc: 0.718750] [adversarial loss: 1.233844, acc: 0.156250] 9763: [discriminator loss: 0.545332, acc: 0.687500] [adversarial loss: 0.913987, acc: 0.421875] 9764: [discriminator loss: 0.529711, acc: 0.757812] [adversarial loss: 1.309066, acc: 0.109375] 9765: [discriminator loss: 0.569432, acc: 0.695312] [adversarial loss: 0.986058, acc: 0.250000] 9766: [discriminator loss: 0.527722, acc: 0.773438] [adversarial loss: 1.313880, acc: 0.156250] 9767: [discriminator loss: 0.543392, acc: 0.703125] [adversarial loss: 1.212315, acc: 0.234375] 9768: [discriminator loss: 0.553896, acc: 0.703125] [adversarial loss: 1.220304, acc: 0.250000] 9769: [discriminator loss: 0.574177, acc: 0.726562] [adversarial loss: 1.084341, acc: 0.375000] 9770: [discriminator loss: 0.510510, acc: 0.750000] [adversarial loss: 1.196730, acc: 0.218750] 9771: [discriminator loss: 0.479352, acc: 0.726562] [adversarial loss: 1.148837, acc: 0.359375] 9772: [discriminator loss: 0.520008, acc: 0.750000] [adversarial loss: 1.441540, acc: 0.171875] 9773: [discriminator loss: 0.654879, acc: 0.664062] [adversarial loss: 1.007196, acc: 0.375000] 9774: [discriminator loss: 0.552348, acc: 0.757812] [adversarial loss: 1.450257, acc: 0.109375] 9775: [discriminator loss: 0.599882, acc: 0.679688] [adversarial loss: 0.929239, acc: 0.437500] 9776: [discriminator loss: 0.625129, acc: 0.625000] [adversarial loss: 1.321668, acc: 0.250000] 9777: [discriminator loss: 0.539571, acc: 0.718750] [adversarial loss: 0.983843, acc: 0.359375] 9778: [discriminator loss: 0.563765, acc: 0.710938] [adversarial loss: 1.309778, acc: 0.109375] 9779: [discriminator loss: 0.541824, acc: 0.695312] [adversarial loss: 0.942210, acc: 0.484375] 9780: [discriminator loss: 0.594279, acc: 0.625000] [adversarial loss: 1.339787, acc: 0.187500] 9781: [discriminator loss: 0.586350, acc: 0.687500] [adversarial loss: 0.854628, acc: 0.453125] 9782: [discriminator loss: 0.596980, acc: 0.703125] [adversarial loss: 1.438719, acc: 0.171875] 9783: [discriminator loss: 0.562117, acc: 0.687500] [adversarial loss: 0.781039, acc: 0.468750] 9784: [discriminator loss: 0.585997, acc: 0.648438] [adversarial loss: 1.406429, acc: 0.078125] 9785: [discriminator loss: 0.577579, acc: 0.695312] [adversarial loss: 1.093820, acc: 0.250000] 9786: [discriminator loss: 0.541345, acc: 0.734375] [adversarial loss: 1.372986, acc: 0.140625] 9787: [discriminator loss: 0.511212, acc: 0.734375] [adversarial loss: 0.947588, acc: 0.406250] 9788: [discriminator loss: 0.568538, acc: 0.710938] [adversarial loss: 1.452663, acc: 0.125000] 9789: [discriminator loss: 0.582920, acc: 0.710938] [adversarial loss: 0.778330, acc: 0.500000] 9790: [discriminator loss: 0.552577, acc: 0.718750] [adversarial loss: 1.368145, acc: 0.187500] 9791: [discriminator loss: 0.580976, acc: 0.679688] [adversarial loss: 0.899735, acc: 0.453125] 9792: [discriminator loss: 0.519242, acc: 0.742188] [adversarial loss: 1.272986, acc: 0.203125] 9793: [discriminator loss: 0.590588, acc: 0.664062] [adversarial loss: 1.042170, acc: 0.296875] 9794: [discriminator loss: 0.561562, acc: 0.710938] [adversarial loss: 1.083120, acc: 0.328125] 9795: [discriminator loss: 0.518981, acc: 0.726562] [adversarial loss: 1.185505, acc: 0.234375] 9796: [discriminator loss: 0.496678, acc: 0.781250] [adversarial loss: 1.088803, acc: 0.218750] 9797: [discriminator loss: 0.525392, acc: 0.710938] [adversarial loss: 1.178792, acc: 0.203125] 9798: [discriminator loss: 0.571131, acc: 0.687500] [adversarial loss: 1.210062, acc: 0.218750] 9799: [discriminator loss: 0.605063, acc: 0.710938] [adversarial loss: 1.015128, acc: 0.359375] 9800: [discriminator loss: 0.510838, acc: 0.734375] [adversarial loss: 1.417765, acc: 0.125000] 9801: [discriminator loss: 0.512512, acc: 0.773438] [adversarial loss: 1.293391, acc: 0.234375] 9802: [discriminator loss: 0.558233, acc: 0.695312] [adversarial loss: 0.838189, acc: 0.515625] 9803: [discriminator loss: 0.543366, acc: 0.710938] [adversarial loss: 1.302891, acc: 0.250000] 9804: [discriminator loss: 0.539262, acc: 0.750000] [adversarial loss: 1.001966, acc: 0.343750] 9805: [discriminator loss: 0.608682, acc: 0.656250] [adversarial loss: 1.558049, acc: 0.156250] 9806: [discriminator loss: 0.564731, acc: 0.718750] [adversarial loss: 1.068017, acc: 0.296875] 9807: [discriminator loss: 0.561961, acc: 0.671875] [adversarial loss: 1.079037, acc: 0.265625] 9808: [discriminator loss: 0.500630, acc: 0.804688] [adversarial loss: 1.252997, acc: 0.187500] 9809: [discriminator loss: 0.564743, acc: 0.656250] [adversarial loss: 1.108482, acc: 0.265625] 9810: [discriminator loss: 0.515213, acc: 0.773438] [adversarial loss: 1.234721, acc: 0.234375] 9811: [discriminator loss: 0.582977, acc: 0.703125] [adversarial loss: 1.282338, acc: 0.203125] 9812: [discriminator loss: 0.548449, acc: 0.718750] [adversarial loss: 1.084219, acc: 0.375000] 9813: [discriminator loss: 0.508532, acc: 0.734375] [adversarial loss: 0.929350, acc: 0.406250] 9814: [discriminator loss: 0.621965, acc: 0.671875] [adversarial loss: 1.781780, acc: 0.093750] 9815: [discriminator loss: 0.595971, acc: 0.695312] [adversarial loss: 0.934034, acc: 0.390625] 9816: [discriminator loss: 0.564012, acc: 0.710938] [adversarial loss: 1.672025, acc: 0.015625] 9817: [discriminator loss: 0.524755, acc: 0.710938] [adversarial loss: 0.979129, acc: 0.328125] 9818: [discriminator loss: 0.551625, acc: 0.695312] [adversarial loss: 1.427819, acc: 0.140625] 9819: [discriminator loss: 0.568009, acc: 0.734375] [adversarial loss: 0.768265, acc: 0.484375] 9820: [discriminator loss: 0.540317, acc: 0.695312] [adversarial loss: 1.281967, acc: 0.093750] 9821: [discriminator loss: 0.586576, acc: 0.648438] [adversarial loss: 0.977026, acc: 0.328125] 9822: [discriminator loss: 0.510075, acc: 0.734375] [adversarial loss: 1.236724, acc: 0.234375] 9823: [discriminator loss: 0.600175, acc: 0.656250] [adversarial loss: 1.043265, acc: 0.296875] 9824: [discriminator loss: 0.515957, acc: 0.781250] [adversarial loss: 1.615647, acc: 0.015625] 9825: [discriminator loss: 0.530367, acc: 0.742188] [adversarial loss: 0.841892, acc: 0.484375] 9826: [discriminator loss: 0.567616, acc: 0.687500] [adversarial loss: 1.463000, acc: 0.125000] 9827: [discriminator loss: 0.532551, acc: 0.726562] [adversarial loss: 0.987355, acc: 0.421875] 9828: [discriminator loss: 0.555908, acc: 0.710938] [adversarial loss: 1.202255, acc: 0.250000] 9829: [discriminator loss: 0.518676, acc: 0.773438] [adversarial loss: 1.304578, acc: 0.203125] 9830: [discriminator loss: 0.592634, acc: 0.703125] [adversarial loss: 1.165568, acc: 0.265625] 9831: [discriminator loss: 0.528455, acc: 0.757812] [adversarial loss: 0.940258, acc: 0.328125] 9832: [discriminator loss: 0.491628, acc: 0.773438] [adversarial loss: 1.179566, acc: 0.234375] 9833: [discriminator loss: 0.604184, acc: 0.648438] [adversarial loss: 1.392834, acc: 0.203125] 9834: [discriminator loss: 0.633306, acc: 0.609375] [adversarial loss: 0.903305, acc: 0.453125] 9835: [discriminator loss: 0.578597, acc: 0.695312] [adversarial loss: 1.797146, acc: 0.109375] 9836: [discriminator loss: 0.653709, acc: 0.617188] [adversarial loss: 0.869785, acc: 0.453125] 9837: [discriminator loss: 0.539993, acc: 0.718750] [adversarial loss: 1.247283, acc: 0.187500] 9838: [discriminator loss: 0.557263, acc: 0.687500] [adversarial loss: 0.975895, acc: 0.390625] 9839: [discriminator loss: 0.624626, acc: 0.679688] [adversarial loss: 1.355396, acc: 0.187500] 9840: [discriminator loss: 0.529906, acc: 0.695312] [adversarial loss: 0.901830, acc: 0.437500] 9841: [discriminator loss: 0.528412, acc: 0.781250] [adversarial loss: 1.212077, acc: 0.250000] 9842: [discriminator loss: 0.493602, acc: 0.734375] [adversarial loss: 0.967017, acc: 0.406250] 9843: [discriminator loss: 0.566292, acc: 0.640625] [adversarial loss: 1.381096, acc: 0.203125] 9844: [discriminator loss: 0.573694, acc: 0.718750] [adversarial loss: 1.067498, acc: 0.296875] 9845: [discriminator loss: 0.505590, acc: 0.765625] [adversarial loss: 1.059998, acc: 0.343750] 9846: [discriminator loss: 0.559403, acc: 0.726562] [adversarial loss: 1.022864, acc: 0.375000] 9847: [discriminator loss: 0.469303, acc: 0.750000] [adversarial loss: 1.231876, acc: 0.203125] 9848: [discriminator loss: 0.542084, acc: 0.679688] [adversarial loss: 1.147396, acc: 0.218750] 9849: [discriminator loss: 0.579865, acc: 0.664062] [adversarial loss: 1.093890, acc: 0.250000] 9850: [discriminator loss: 0.623219, acc: 0.640625] [adversarial loss: 1.398423, acc: 0.140625] 9851: [discriminator loss: 0.543808, acc: 0.750000] [adversarial loss: 0.968785, acc: 0.375000] 9852: [discriminator loss: 0.543818, acc: 0.718750] [adversarial loss: 1.322759, acc: 0.250000] 9853: [discriminator loss: 0.586253, acc: 0.640625] [adversarial loss: 1.317856, acc: 0.140625] 9854: [discriminator loss: 0.510805, acc: 0.757812] [adversarial loss: 1.053210, acc: 0.281250] 9855: [discriminator loss: 0.516236, acc: 0.734375] [adversarial loss: 1.054715, acc: 0.312500] 9856: [discriminator loss: 0.598782, acc: 0.640625] [adversarial loss: 1.402463, acc: 0.109375] 9857: [discriminator loss: 0.581323, acc: 0.695312] [adversarial loss: 0.859709, acc: 0.468750] 9858: [discriminator loss: 0.640159, acc: 0.609375] [adversarial loss: 1.637413, acc: 0.109375] 9859: [discriminator loss: 0.496660, acc: 0.781250] [adversarial loss: 0.857098, acc: 0.421875] 9860: [discriminator loss: 0.563015, acc: 0.750000] [adversarial loss: 1.276019, acc: 0.234375] 9861: [discriminator loss: 0.519788, acc: 0.718750] [adversarial loss: 1.125856, acc: 0.296875] 9862: [discriminator loss: 0.528497, acc: 0.781250] [adversarial loss: 1.198518, acc: 0.296875] 9863: [discriminator loss: 0.551908, acc: 0.695312] [adversarial loss: 0.863284, acc: 0.468750] 9864: [discriminator loss: 0.545752, acc: 0.710938] [adversarial loss: 1.372292, acc: 0.156250] 9865: [discriminator loss: 0.552523, acc: 0.710938] [adversarial loss: 1.176162, acc: 0.250000] 9866: [discriminator loss: 0.582215, acc: 0.710938] [adversarial loss: 1.053548, acc: 0.265625] 9867: [discriminator loss: 0.544073, acc: 0.687500] [adversarial loss: 1.266918, acc: 0.234375] 9868: [discriminator loss: 0.563543, acc: 0.656250] [adversarial loss: 1.050039, acc: 0.296875] 9869: [discriminator loss: 0.556038, acc: 0.726562] [adversarial loss: 1.193123, acc: 0.359375] 9870: [discriminator loss: 0.541605, acc: 0.718750] [adversarial loss: 1.037978, acc: 0.328125] 9871: [discriminator loss: 0.567400, acc: 0.679688] [adversarial loss: 1.340602, acc: 0.140625] 9872: [discriminator loss: 0.577007, acc: 0.687500] [adversarial loss: 1.120866, acc: 0.296875] 9873: [discriminator loss: 0.526850, acc: 0.742188] [adversarial loss: 1.100208, acc: 0.218750] 9874: [discriminator loss: 0.568623, acc: 0.710938] [adversarial loss: 0.926387, acc: 0.421875] 9875: [discriminator loss: 0.566842, acc: 0.679688] [adversarial loss: 1.417568, acc: 0.125000] 9876: [discriminator loss: 0.580765, acc: 0.679688] [adversarial loss: 0.741981, acc: 0.515625] 9877: [discriminator loss: 0.545365, acc: 0.695312] [adversarial loss: 1.459657, acc: 0.125000] 9878: [discriminator loss: 0.551074, acc: 0.742188] [adversarial loss: 1.171747, acc: 0.265625] 9879: [discriminator loss: 0.533490, acc: 0.726562] [adversarial loss: 1.204332, acc: 0.187500] 9880: [discriminator loss: 0.599233, acc: 0.648438] [adversarial loss: 1.152386, acc: 0.265625] 9881: [discriminator loss: 0.490062, acc: 0.789062] [adversarial loss: 1.185335, acc: 0.328125] 9882: [discriminator loss: 0.573912, acc: 0.703125] [adversarial loss: 1.356684, acc: 0.156250] 9883: [discriminator loss: 0.523357, acc: 0.757812] [adversarial loss: 0.866539, acc: 0.453125] 9884: [discriminator loss: 0.586338, acc: 0.703125] [adversarial loss: 1.803566, acc: 0.062500] 9885: [discriminator loss: 0.603218, acc: 0.671875] [adversarial loss: 0.802081, acc: 0.453125] 9886: [discriminator loss: 0.581036, acc: 0.656250] [adversarial loss: 1.413667, acc: 0.140625] 9887: [discriminator loss: 0.525337, acc: 0.734375] [adversarial loss: 1.105416, acc: 0.312500] 9888: [discriminator loss: 0.535168, acc: 0.718750] [adversarial loss: 1.074706, acc: 0.312500] 9889: [discriminator loss: 0.569791, acc: 0.695312] [adversarial loss: 0.975841, acc: 0.437500] 9890: [discriminator loss: 0.636001, acc: 0.679688] [adversarial loss: 1.317752, acc: 0.156250] 9891: [discriminator loss: 0.581992, acc: 0.679688] [adversarial loss: 0.823048, acc: 0.500000] 9892: [discriminator loss: 0.553587, acc: 0.687500] [adversarial loss: 1.701755, acc: 0.031250] 9893: [discriminator loss: 0.616524, acc: 0.640625] [adversarial loss: 0.897018, acc: 0.375000] 9894: [discriminator loss: 0.537297, acc: 0.726562] [adversarial loss: 1.467826, acc: 0.125000] 9895: [discriminator loss: 0.612747, acc: 0.625000] [adversarial loss: 0.867530, acc: 0.468750] 9896: [discriminator loss: 0.569217, acc: 0.718750] [adversarial loss: 1.444702, acc: 0.062500] 9897: [discriminator loss: 0.524881, acc: 0.734375] [adversarial loss: 0.890501, acc: 0.437500] 9898: [discriminator loss: 0.540658, acc: 0.789062] [adversarial loss: 1.195561, acc: 0.187500] 9899: [discriminator loss: 0.571942, acc: 0.679688] [adversarial loss: 1.138616, acc: 0.234375] 9900: [discriminator loss: 0.556880, acc: 0.687500] [adversarial loss: 1.352779, acc: 0.109375] 9901: [discriminator loss: 0.590868, acc: 0.656250] [adversarial loss: 1.148030, acc: 0.296875] 9902: [discriminator loss: 0.484176, acc: 0.765625] [adversarial loss: 1.191385, acc: 0.187500] 9903: [discriminator loss: 0.560447, acc: 0.656250] [adversarial loss: 0.911392, acc: 0.328125] 9904: [discriminator loss: 0.484932, acc: 0.742188] [adversarial loss: 1.620778, acc: 0.093750] 9905: [discriminator loss: 0.525864, acc: 0.710938] [adversarial loss: 0.907088, acc: 0.453125] 9906: [discriminator loss: 0.599766, acc: 0.687500] [adversarial loss: 1.528326, acc: 0.156250] 9907: [discriminator loss: 0.533204, acc: 0.742188] [adversarial loss: 0.906090, acc: 0.390625] 9908: [discriminator loss: 0.597502, acc: 0.695312] [adversarial loss: 1.459998, acc: 0.187500] 9909: [discriminator loss: 0.533489, acc: 0.734375] [adversarial loss: 0.853311, acc: 0.437500] 9910: [discriminator loss: 0.570548, acc: 0.656250] [adversarial loss: 1.221525, acc: 0.140625] 9911: [discriminator loss: 0.513656, acc: 0.757812] [adversarial loss: 1.210238, acc: 0.203125] 9912: [discriminator loss: 0.598022, acc: 0.679688] [adversarial loss: 1.380457, acc: 0.156250] 9913: [discriminator loss: 0.604988, acc: 0.671875] [adversarial loss: 1.064631, acc: 0.312500] 9914: [discriminator loss: 0.557900, acc: 0.703125] [adversarial loss: 1.155333, acc: 0.296875] 9915: [discriminator loss: 0.538113, acc: 0.734375] [adversarial loss: 1.285317, acc: 0.156250] 9916: [discriminator loss: 0.521776, acc: 0.781250] [adversarial loss: 0.857014, acc: 0.484375] 9917: [discriminator loss: 0.545462, acc: 0.718750] [adversarial loss: 1.342424, acc: 0.171875] 9918: [discriminator loss: 0.611301, acc: 0.671875] [adversarial loss: 1.115954, acc: 0.265625] 9919: [discriminator loss: 0.625239, acc: 0.664062] [adversarial loss: 1.173906, acc: 0.203125] 9920: [discriminator loss: 0.510645, acc: 0.726562] [adversarial loss: 1.323302, acc: 0.171875] 9921: [discriminator loss: 0.577216, acc: 0.679688] [adversarial loss: 1.238062, acc: 0.218750] 9922: [discriminator loss: 0.484398, acc: 0.773438] [adversarial loss: 0.969067, acc: 0.328125] 9923: [discriminator loss: 0.545625, acc: 0.718750] [adversarial loss: 1.279757, acc: 0.203125] 9924: [discriminator loss: 0.614436, acc: 0.679688] [adversarial loss: 1.096622, acc: 0.218750] 9925: [discriminator loss: 0.652223, acc: 0.632812] [adversarial loss: 1.454766, acc: 0.062500] 9926: [discriminator loss: 0.581197, acc: 0.718750] [adversarial loss: 0.818259, acc: 0.453125] 9927: [discriminator loss: 0.537265, acc: 0.757812] [adversarial loss: 1.483962, acc: 0.109375] 9928: [discriminator loss: 0.557050, acc: 0.726562] [adversarial loss: 0.906859, acc: 0.343750] 9929: [discriminator loss: 0.571828, acc: 0.710938] [adversarial loss: 1.160761, acc: 0.218750] 9930: [discriminator loss: 0.542282, acc: 0.710938] [adversarial loss: 0.993251, acc: 0.390625] 9931: [discriminator loss: 0.542516, acc: 0.750000] [adversarial loss: 1.218795, acc: 0.234375] 9932: [discriminator loss: 0.505697, acc: 0.734375] [adversarial loss: 1.021178, acc: 0.328125] 9933: [discriminator loss: 0.558081, acc: 0.679688] [adversarial loss: 1.520437, acc: 0.125000] 9934: [discriminator loss: 0.546055, acc: 0.703125] [adversarial loss: 0.815080, acc: 0.468750] 9935: [discriminator loss: 0.503730, acc: 0.781250] [adversarial loss: 1.401615, acc: 0.156250] 9936: [discriminator loss: 0.521064, acc: 0.734375] [adversarial loss: 0.891087, acc: 0.546875] 9937: [discriminator loss: 0.490087, acc: 0.750000] [adversarial loss: 1.211343, acc: 0.203125] 9938: [discriminator loss: 0.569322, acc: 0.679688] [adversarial loss: 1.203328, acc: 0.281250] 9939: [discriminator loss: 0.601472, acc: 0.726562] [adversarial loss: 0.874033, acc: 0.421875] 9940: [discriminator loss: 0.507255, acc: 0.781250] [adversarial loss: 1.525889, acc: 0.109375] 9941: [discriminator loss: 0.518995, acc: 0.757812] [adversarial loss: 0.964523, acc: 0.343750] 9942: [discriminator loss: 0.525258, acc: 0.742188] [adversarial loss: 1.127141, acc: 0.250000] 9943: [discriminator loss: 0.516429, acc: 0.710938] [adversarial loss: 0.997231, acc: 0.375000] 9944: [discriminator loss: 0.615032, acc: 0.632812] [adversarial loss: 1.288908, acc: 0.156250] 9945: [discriminator loss: 0.573270, acc: 0.664062] [adversarial loss: 0.880694, acc: 0.359375] 9946: [discriminator loss: 0.470457, acc: 0.757812] [adversarial loss: 0.990940, acc: 0.359375] 9947: [discriminator loss: 0.584996, acc: 0.687500] [adversarial loss: 1.351243, acc: 0.140625] 9948: [discriminator loss: 0.582518, acc: 0.687500] [adversarial loss: 1.049071, acc: 0.328125] 9949: [discriminator loss: 0.594896, acc: 0.726562] [adversarial loss: 1.398944, acc: 0.171875] 9950: [discriminator loss: 0.558962, acc: 0.765625] [adversarial loss: 1.132885, acc: 0.296875] 9951: [discriminator loss: 0.555496, acc: 0.757812] [adversarial loss: 1.330780, acc: 0.203125] 9952: [discriminator loss: 0.597131, acc: 0.710938] [adversarial loss: 0.938507, acc: 0.375000] 9953: [discriminator loss: 0.552065, acc: 0.695312] [adversarial loss: 1.484727, acc: 0.062500] 9954: [discriminator loss: 0.615866, acc: 0.703125] [adversarial loss: 0.920980, acc: 0.453125] 9955: [discriminator loss: 0.620723, acc: 0.687500] [adversarial loss: 1.574478, acc: 0.093750] 9956: [discriminator loss: 0.596322, acc: 0.679688] [adversarial loss: 0.834836, acc: 0.484375] 9957: [discriminator loss: 0.557894, acc: 0.734375] [adversarial loss: 1.587863, acc: 0.140625] 9958: [discriminator loss: 0.523266, acc: 0.703125] [adversarial loss: 0.878430, acc: 0.500000] 9959: [discriminator loss: 0.540878, acc: 0.726562] [adversarial loss: 1.337571, acc: 0.125000] 9960: [discriminator loss: 0.569648, acc: 0.695312] [adversarial loss: 0.887324, acc: 0.343750] 9961: [discriminator loss: 0.551650, acc: 0.726562] [adversarial loss: 1.482731, acc: 0.171875] 9962: [discriminator loss: 0.600212, acc: 0.679688] [adversarial loss: 1.134431, acc: 0.328125] 9963: [discriminator loss: 0.523573, acc: 0.812500] [adversarial loss: 1.281669, acc: 0.171875] 9964: [discriminator loss: 0.575201, acc: 0.703125] [adversarial loss: 1.247549, acc: 0.187500] 9965: [discriminator loss: 0.545641, acc: 0.750000] [adversarial loss: 1.072381, acc: 0.312500] 9966: [discriminator loss: 0.519136, acc: 0.750000] [adversarial loss: 1.141863, acc: 0.218750] 9967: [discriminator loss: 0.488826, acc: 0.781250] [adversarial loss: 1.115087, acc: 0.250000] 9968: [discriminator loss: 0.609492, acc: 0.656250] [adversarial loss: 1.144783, acc: 0.312500] 9969: [discriminator loss: 0.594623, acc: 0.671875] [adversarial loss: 1.338972, acc: 0.109375] 9970: [discriminator loss: 0.523384, acc: 0.703125] [adversarial loss: 0.934957, acc: 0.375000] 9971: [discriminator loss: 0.524465, acc: 0.757812] [adversarial loss: 1.092370, acc: 0.296875] 9972: [discriminator loss: 0.512626, acc: 0.796875] [adversarial loss: 1.116779, acc: 0.281250] 9973: [discriminator loss: 0.565444, acc: 0.664062] [adversarial loss: 0.814544, acc: 0.515625] 9974: [discriminator loss: 0.627498, acc: 0.656250] [adversarial loss: 1.442637, acc: 0.156250] 9975: [discriminator loss: 0.560146, acc: 0.703125] [adversarial loss: 0.841713, acc: 0.437500] 9976: [discriminator loss: 0.499590, acc: 0.781250] [adversarial loss: 1.259203, acc: 0.187500] 9977: [discriminator loss: 0.501286, acc: 0.757812] [adversarial loss: 0.942908, acc: 0.390625] 9978: [discriminator loss: 0.516621, acc: 0.703125] [adversarial loss: 1.080804, acc: 0.265625] 9979: [discriminator loss: 0.612545, acc: 0.679688] [adversarial loss: 1.242355, acc: 0.187500] 9980: [discriminator loss: 0.506308, acc: 0.757812] [adversarial loss: 0.985164, acc: 0.312500] 9981: [discriminator loss: 0.501374, acc: 0.773438] [adversarial loss: 1.344956, acc: 0.234375] 9982: [discriminator loss: 0.573578, acc: 0.671875] [adversarial loss: 0.932900, acc: 0.359375] 9983: [discriminator loss: 0.599835, acc: 0.710938] [adversarial loss: 1.504650, acc: 0.062500] 9984: [discriminator loss: 0.559366, acc: 0.679688] [adversarial loss: 1.323266, acc: 0.171875] 9985: [discriminator loss: 0.639447, acc: 0.648438] [adversarial loss: 1.199991, acc: 0.203125] 9986: [discriminator loss: 0.521410, acc: 0.710938] [adversarial loss: 1.316738, acc: 0.140625] 9987: [discriminator loss: 0.547495, acc: 0.710938] [adversarial loss: 1.111027, acc: 0.296875] 9988: [discriminator loss: 0.616402, acc: 0.648438] [adversarial loss: 1.002495, acc: 0.359375] 9989: [discriminator loss: 0.510900, acc: 0.742188] [adversarial loss: 1.376341, acc: 0.125000] 9990: [discriminator loss: 0.605177, acc: 0.664062] [adversarial loss: 0.953533, acc: 0.375000] 9991: [discriminator loss: 0.567232, acc: 0.664062] [adversarial loss: 1.373509, acc: 0.109375] 9992: [discriminator loss: 0.544448, acc: 0.726562] [adversarial loss: 1.007758, acc: 0.359375] 9993: [discriminator loss: 0.493776, acc: 0.757812] [adversarial loss: 1.595024, acc: 0.125000] 9994: [discriminator loss: 0.588062, acc: 0.695312] [adversarial loss: 0.994686, acc: 0.312500] 9995: [discriminator loss: 0.499181, acc: 0.773438] [adversarial loss: 1.539240, acc: 0.125000] 9996: [discriminator loss: 0.556500, acc: 0.687500] [adversarial loss: 0.859560, acc: 0.437500] 9997: [discriminator loss: 0.572078, acc: 0.703125] [adversarial loss: 1.391541, acc: 0.171875] 9998: [discriminator loss: 0.633898, acc: 0.632812] [adversarial loss: 0.812206, acc: 0.531250] 9999: [discriminator loss: 0.523211, acc: 0.710938] [adversarial loss: 1.257757, acc: 0.187500] 10000: [discriminator loss: 0.582217, acc: 0.703125] [adversarial loss: 1.297473, acc: 0.156250] 10001: [discriminator loss: 0.521965, acc: 0.773438] [adversarial loss: 1.257044, acc: 0.187500] 10002: [discriminator loss: 0.551369, acc: 0.710938] [adversarial loss: 1.030211, acc: 0.281250] 10003: [discriminator loss: 0.519012, acc: 0.742188] [adversarial loss: 1.056645, acc: 0.328125] 10004: [discriminator loss: 0.589479, acc: 0.679688] [adversarial loss: 1.207334, acc: 0.234375] 10005: [discriminator loss: 0.546430, acc: 0.718750] [adversarial loss: 0.935199, acc: 0.390625] 10006: [discriminator loss: 0.567108, acc: 0.703125] [adversarial loss: 1.281580, acc: 0.109375] 10007: [discriminator loss: 0.614231, acc: 0.648438] [adversarial loss: 0.804297, acc: 0.484375] 10008: [discriminator loss: 0.581089, acc: 0.726562] [adversarial loss: 1.587071, acc: 0.109375] 10009: [discriminator loss: 0.567283, acc: 0.710938] [adversarial loss: 0.951848, acc: 0.406250] 10010: [discriminator loss: 0.629381, acc: 0.617188] [adversarial loss: 1.255061, acc: 0.250000] 10011: [discriminator loss: 0.557120, acc: 0.695312] [adversarial loss: 0.978782, acc: 0.375000] 10012: [discriminator loss: 0.541513, acc: 0.750000] [adversarial loss: 1.277966, acc: 0.187500] 10013: [discriminator loss: 0.534572, acc: 0.726562] [adversarial loss: 1.081098, acc: 0.265625] 10014: [discriminator loss: 0.592264, acc: 0.695312] [adversarial loss: 1.419372, acc: 0.109375] 10015: [discriminator loss: 0.535734, acc: 0.718750] [adversarial loss: 1.030636, acc: 0.312500] 10016: [discriminator loss: 0.565530, acc: 0.695312] [adversarial loss: 1.271520, acc: 0.203125] 10017: [discriminator loss: 0.597573, acc: 0.664062] [adversarial loss: 0.965481, acc: 0.359375] 10018: [discriminator loss: 0.477886, acc: 0.789062] [adversarial loss: 1.511378, acc: 0.093750] 10019: [discriminator loss: 0.516895, acc: 0.703125] [adversarial loss: 0.982498, acc: 0.343750] 10020: [discriminator loss: 0.510813, acc: 0.757812] [adversarial loss: 1.439557, acc: 0.140625] 10021: [discriminator loss: 0.580914, acc: 0.687500] [adversarial loss: 1.021610, acc: 0.312500] 10022: [discriminator loss: 0.563972, acc: 0.664062] [adversarial loss: 1.636912, acc: 0.125000] 10023: [discriminator loss: 0.520189, acc: 0.703125] [adversarial loss: 0.862128, acc: 0.406250] 10024: [discriminator loss: 0.565119, acc: 0.718750] [adversarial loss: 1.260066, acc: 0.171875] 10025: [discriminator loss: 0.528195, acc: 0.718750] [adversarial loss: 1.040033, acc: 0.296875] 10026: [discriminator loss: 0.591070, acc: 0.687500] [adversarial loss: 1.015064, acc: 0.296875] 10027: [discriminator loss: 0.491529, acc: 0.781250] [adversarial loss: 0.887869, acc: 0.390625] 10028: [discriminator loss: 0.482721, acc: 0.804688] [adversarial loss: 1.338600, acc: 0.171875] 10029: [discriminator loss: 0.544620, acc: 0.734375] [adversarial loss: 0.978314, acc: 0.359375] 10030: [discriminator loss: 0.558043, acc: 0.679688] [adversarial loss: 1.534643, acc: 0.140625] 10031: [discriminator loss: 0.575742, acc: 0.679688] [adversarial loss: 0.855002, acc: 0.453125] 10032: [discriminator loss: 0.555210, acc: 0.703125] [adversarial loss: 1.434913, acc: 0.140625] 10033: [discriminator loss: 0.540477, acc: 0.695312] [adversarial loss: 0.884155, acc: 0.437500] 10034: [discriminator loss: 0.531287, acc: 0.757812] [adversarial loss: 1.414210, acc: 0.203125] 10035: [discriminator loss: 0.612122, acc: 0.648438] [adversarial loss: 0.921226, acc: 0.406250] 10036: [discriminator loss: 0.556868, acc: 0.695312] [adversarial loss: 1.252833, acc: 0.187500] 10037: [discriminator loss: 0.497330, acc: 0.773438] [adversarial loss: 1.093639, acc: 0.375000] 10038: [discriminator loss: 0.647739, acc: 0.648438] [adversarial loss: 1.348246, acc: 0.140625] 10039: [discriminator loss: 0.561262, acc: 0.710938] [adversarial loss: 1.149339, acc: 0.312500] 10040: [discriminator loss: 0.542894, acc: 0.734375] [adversarial loss: 1.536026, acc: 0.156250] 10041: [discriminator loss: 0.536409, acc: 0.718750] [adversarial loss: 0.922645, acc: 0.375000] 10042: [discriminator loss: 0.442670, acc: 0.828125] [adversarial loss: 1.407319, acc: 0.171875] 10043: [discriminator loss: 0.536110, acc: 0.695312] [adversarial loss: 1.114736, acc: 0.250000] 10044: [discriminator loss: 0.515915, acc: 0.710938] [adversarial loss: 1.224648, acc: 0.234375] 10045: [discriminator loss: 0.573200, acc: 0.710938] [adversarial loss: 1.170326, acc: 0.281250] 10046: [discriminator loss: 0.543640, acc: 0.710938] [adversarial loss: 1.167407, acc: 0.234375] 10047: [discriminator loss: 0.514933, acc: 0.726562] [adversarial loss: 1.022810, acc: 0.328125] 10048: [discriminator loss: 0.508551, acc: 0.726562] [adversarial loss: 1.260037, acc: 0.171875] 10049: [discriminator loss: 0.536988, acc: 0.726562] [adversarial loss: 0.903575, acc: 0.390625] 10050: [discriminator loss: 0.630432, acc: 0.640625] [adversarial loss: 1.665329, acc: 0.078125] 10051: [discriminator loss: 0.571120, acc: 0.671875] [adversarial loss: 0.772271, acc: 0.484375] 10052: [discriminator loss: 0.576506, acc: 0.695312] [adversarial loss: 1.351628, acc: 0.203125] 10053: [discriminator loss: 0.624634, acc: 0.625000] [adversarial loss: 0.814361, acc: 0.484375] 10054: [discriminator loss: 0.515843, acc: 0.718750] [adversarial loss: 1.454937, acc: 0.140625] 10055: [discriminator loss: 0.578257, acc: 0.671875] [adversarial loss: 0.890575, acc: 0.390625] 10056: [discriminator loss: 0.644644, acc: 0.640625] [adversarial loss: 1.513377, acc: 0.109375] 10057: [discriminator loss: 0.588738, acc: 0.710938] [adversarial loss: 1.162337, acc: 0.250000] 10058: [discriminator loss: 0.548065, acc: 0.679688] [adversarial loss: 0.979424, acc: 0.375000] 10059: [discriminator loss: 0.556970, acc: 0.710938] [adversarial loss: 1.211178, acc: 0.187500] 10060: [discriminator loss: 0.524097, acc: 0.726562] [adversarial loss: 1.126882, acc: 0.234375] 10061: [discriminator loss: 0.523321, acc: 0.757812] [adversarial loss: 1.293907, acc: 0.187500] 10062: [discriminator loss: 0.566558, acc: 0.742188] [adversarial loss: 1.202315, acc: 0.171875] 10063: [discriminator loss: 0.447232, acc: 0.812500] [adversarial loss: 1.338270, acc: 0.187500] 10064: [discriminator loss: 0.534507, acc: 0.710938] [adversarial loss: 1.079957, acc: 0.281250] 10065: [discriminator loss: 0.545082, acc: 0.703125] [adversarial loss: 0.943116, acc: 0.328125] 10066: [discriminator loss: 0.568269, acc: 0.695312] [adversarial loss: 1.437315, acc: 0.109375] 10067: [discriminator loss: 0.561155, acc: 0.726562] [adversarial loss: 1.089499, acc: 0.343750] 10068: [discriminator loss: 0.583527, acc: 0.687500] [adversarial loss: 1.279302, acc: 0.218750] 10069: [discriminator loss: 0.553018, acc: 0.734375] [adversarial loss: 1.189134, acc: 0.328125] 10070: [discriminator loss: 0.589460, acc: 0.625000] [adversarial loss: 0.965352, acc: 0.406250] 10071: [discriminator loss: 0.559406, acc: 0.710938] [adversarial loss: 1.635284, acc: 0.078125] 10072: [discriminator loss: 0.545611, acc: 0.718750] [adversarial loss: 0.870387, acc: 0.500000] 10073: [discriminator loss: 0.537094, acc: 0.742188] [adversarial loss: 1.489217, acc: 0.125000] 10074: [discriminator loss: 0.558317, acc: 0.703125] [adversarial loss: 0.853160, acc: 0.437500] 10075: [discriminator loss: 0.616436, acc: 0.710938] [adversarial loss: 1.773945, acc: 0.109375] 10076: [discriminator loss: 0.672406, acc: 0.593750] [adversarial loss: 0.670062, acc: 0.609375] 10077: [discriminator loss: 0.560785, acc: 0.718750] [adversarial loss: 1.488988, acc: 0.093750] 10078: [discriminator loss: 0.582096, acc: 0.679688] [adversarial loss: 1.051276, acc: 0.234375] 10079: [discriminator loss: 0.566348, acc: 0.734375] [adversarial loss: 1.382753, acc: 0.140625] 10080: [discriminator loss: 0.561699, acc: 0.687500] [adversarial loss: 0.982705, acc: 0.375000] 10081: [discriminator loss: 0.629975, acc: 0.632812] [adversarial loss: 1.059573, acc: 0.312500] 10082: [discriminator loss: 0.562679, acc: 0.703125] [adversarial loss: 1.201894, acc: 0.140625] 10083: [discriminator loss: 0.511132, acc: 0.726562] [adversarial loss: 1.162700, acc: 0.171875] 10084: [discriminator loss: 0.463021, acc: 0.804688] [adversarial loss: 1.222105, acc: 0.234375] 10085: [discriminator loss: 0.493276, acc: 0.757812] [adversarial loss: 1.015874, acc: 0.328125] 10086: [discriminator loss: 0.500787, acc: 0.742188] [adversarial loss: 1.179310, acc: 0.250000] 10087: [discriminator loss: 0.466853, acc: 0.812500] [adversarial loss: 1.316661, acc: 0.140625] 10088: [discriminator loss: 0.542765, acc: 0.710938] [adversarial loss: 0.991714, acc: 0.390625] 10089: [discriminator loss: 0.521416, acc: 0.750000] [adversarial loss: 1.385857, acc: 0.171875] 10090: [discriminator loss: 0.509758, acc: 0.734375] [adversarial loss: 1.002547, acc: 0.343750] 10091: [discriminator loss: 0.553403, acc: 0.718750] [adversarial loss: 1.117942, acc: 0.265625] 10092: [discriminator loss: 0.498718, acc: 0.734375] [adversarial loss: 1.107990, acc: 0.343750] 10093: [discriminator loss: 0.566704, acc: 0.710938] [adversarial loss: 0.977301, acc: 0.250000] 10094: [discriminator loss: 0.634386, acc: 0.664062] [adversarial loss: 1.198007, acc: 0.234375] 10095: [discriminator loss: 0.491421, acc: 0.804688] [adversarial loss: 1.013145, acc: 0.390625] 10096: [discriminator loss: 0.564985, acc: 0.671875] [adversarial loss: 1.310673, acc: 0.171875] 10097: [discriminator loss: 0.509743, acc: 0.718750] [adversarial loss: 1.238259, acc: 0.250000] 10098: [discriminator loss: 0.523744, acc: 0.765625] [adversarial loss: 1.167836, acc: 0.250000] 10099: [discriminator loss: 0.629398, acc: 0.671875] [adversarial loss: 1.079734, acc: 0.343750] 10100: [discriminator loss: 0.519535, acc: 0.710938] [adversarial loss: 1.216324, acc: 0.234375] 10101: [discriminator loss: 0.557559, acc: 0.687500] [adversarial loss: 1.469033, acc: 0.156250] 10102: [discriminator loss: 0.584064, acc: 0.703125] [adversarial loss: 0.930462, acc: 0.437500] 10103: [discriminator loss: 0.537589, acc: 0.726562] [adversarial loss: 1.420536, acc: 0.171875] 10104: [discriminator loss: 0.571282, acc: 0.703125] [adversarial loss: 0.750957, acc: 0.531250] 10105: [discriminator loss: 0.573657, acc: 0.726562] [adversarial loss: 1.703526, acc: 0.062500] 10106: [discriminator loss: 0.590691, acc: 0.687500] [adversarial loss: 0.934410, acc: 0.390625] 10107: [discriminator loss: 0.576109, acc: 0.703125] [adversarial loss: 1.421508, acc: 0.156250] 10108: [discriminator loss: 0.522899, acc: 0.703125] [adversarial loss: 0.884838, acc: 0.437500] 10109: [discriminator loss: 0.558374, acc: 0.742188] [adversarial loss: 1.492857, acc: 0.093750] 10110: [discriminator loss: 0.590505, acc: 0.625000] [adversarial loss: 0.912913, acc: 0.390625] 10111: [discriminator loss: 0.590626, acc: 0.632812] [adversarial loss: 1.592065, acc: 0.140625] 10112: [discriminator loss: 0.576019, acc: 0.671875] [adversarial loss: 1.039707, acc: 0.312500] 10113: [discriminator loss: 0.589295, acc: 0.718750] [adversarial loss: 1.423422, acc: 0.156250] 10114: [discriminator loss: 0.521580, acc: 0.718750] [adversarial loss: 0.733564, acc: 0.531250] 10115: [discriminator loss: 0.584194, acc: 0.640625] [adversarial loss: 1.479195, acc: 0.187500] 10116: [discriminator loss: 0.563623, acc: 0.695312] [adversarial loss: 1.013085, acc: 0.390625] 10117: [discriminator loss: 0.540755, acc: 0.718750] [adversarial loss: 0.916028, acc: 0.375000] 10118: [discriminator loss: 0.542829, acc: 0.695312] [adversarial loss: 1.209494, acc: 0.218750] 10119: [discriminator loss: 0.531457, acc: 0.726562] [adversarial loss: 1.114368, acc: 0.296875] 10120: [discriminator loss: 0.589056, acc: 0.703125] [adversarial loss: 1.084672, acc: 0.312500] 10121: [discriminator loss: 0.532138, acc: 0.695312] [adversarial loss: 1.383332, acc: 0.203125] 10122: [discriminator loss: 0.520899, acc: 0.757812] [adversarial loss: 1.065029, acc: 0.312500] 10123: [discriminator loss: 0.482974, acc: 0.757812] [adversarial loss: 1.248259, acc: 0.218750] 10124: [discriminator loss: 0.511244, acc: 0.773438] [adversarial loss: 1.018246, acc: 0.328125] 10125: [discriminator loss: 0.511452, acc: 0.726562] [adversarial loss: 1.256074, acc: 0.187500] 10126: [discriminator loss: 0.543761, acc: 0.726562] [adversarial loss: 1.253046, acc: 0.281250] 10127: [discriminator loss: 0.546378, acc: 0.726562] [adversarial loss: 1.027056, acc: 0.296875] 10128: [discriminator loss: 0.622024, acc: 0.625000] [adversarial loss: 1.408395, acc: 0.156250] 10129: [discriminator loss: 0.542438, acc: 0.718750] [adversarial loss: 1.116868, acc: 0.281250] 10130: [discriminator loss: 0.553095, acc: 0.710938] [adversarial loss: 1.113322, acc: 0.359375] 10131: [discriminator loss: 0.569654, acc: 0.710938] [adversarial loss: 1.277115, acc: 0.265625] 10132: [discriminator loss: 0.592030, acc: 0.671875] [adversarial loss: 1.062650, acc: 0.296875] 10133: [discriminator loss: 0.527783, acc: 0.750000] [adversarial loss: 1.120639, acc: 0.296875] 10134: [discriminator loss: 0.564684, acc: 0.757812] [adversarial loss: 1.192901, acc: 0.281250] 10135: [discriminator loss: 0.563592, acc: 0.750000] [adversarial loss: 1.045675, acc: 0.281250] 10136: [discriminator loss: 0.571831, acc: 0.750000] [adversarial loss: 1.324805, acc: 0.203125] 10137: [discriminator loss: 0.535926, acc: 0.687500] [adversarial loss: 1.062558, acc: 0.375000] 10138: [discriminator loss: 0.564411, acc: 0.742188] [adversarial loss: 1.598430, acc: 0.078125] 10139: [discriminator loss: 0.596659, acc: 0.648438] [adversarial loss: 0.717543, acc: 0.593750] 10140: [discriminator loss: 0.592441, acc: 0.625000] [adversarial loss: 1.418054, acc: 0.171875] 10141: [discriminator loss: 0.567848, acc: 0.695312] [adversarial loss: 0.895722, acc: 0.453125] 10142: [discriminator loss: 0.596459, acc: 0.632812] [adversarial loss: 1.490911, acc: 0.140625] 10143: [discriminator loss: 0.560844, acc: 0.726562] [adversarial loss: 0.922687, acc: 0.453125] 10144: [discriminator loss: 0.570754, acc: 0.710938] [adversarial loss: 1.250161, acc: 0.250000] 10145: [discriminator loss: 0.533875, acc: 0.687500] [adversarial loss: 1.074760, acc: 0.296875] 10146: [discriminator loss: 0.573941, acc: 0.703125] [adversarial loss: 1.527480, acc: 0.140625] 10147: [discriminator loss: 0.538463, acc: 0.718750] [adversarial loss: 1.079094, acc: 0.265625] 10148: [discriminator loss: 0.587450, acc: 0.718750] [adversarial loss: 1.580050, acc: 0.078125] 10149: [discriminator loss: 0.507856, acc: 0.757812] [adversarial loss: 1.155165, acc: 0.250000] 10150: [discriminator loss: 0.611247, acc: 0.648438] [adversarial loss: 1.038840, acc: 0.359375] 10151: [discriminator loss: 0.559377, acc: 0.773438] [adversarial loss: 1.245587, acc: 0.234375] 10152: [discriminator loss: 0.624839, acc: 0.617188] [adversarial loss: 0.914777, acc: 0.359375] 10153: [discriminator loss: 0.591851, acc: 0.648438] [adversarial loss: 1.367516, acc: 0.140625] 10154: [discriminator loss: 0.521453, acc: 0.742188] [adversarial loss: 1.158842, acc: 0.250000] 10155: [discriminator loss: 0.531003, acc: 0.726562] [adversarial loss: 0.982685, acc: 0.343750] 10156: [discriminator loss: 0.525930, acc: 0.734375] [adversarial loss: 1.183844, acc: 0.187500] 10157: [discriminator loss: 0.507295, acc: 0.710938] [adversarial loss: 1.023828, acc: 0.312500] 10158: [discriminator loss: 0.496126, acc: 0.750000] [adversarial loss: 1.376831, acc: 0.171875] 10159: [discriminator loss: 0.514302, acc: 0.718750] [adversarial loss: 1.138158, acc: 0.312500] 10160: [discriminator loss: 0.501002, acc: 0.750000] [adversarial loss: 1.201913, acc: 0.171875] 10161: [discriminator loss: 0.610830, acc: 0.687500] [adversarial loss: 0.967460, acc: 0.343750] 10162: [discriminator loss: 0.512192, acc: 0.789062] [adversarial loss: 1.369663, acc: 0.203125] 10163: [discriminator loss: 0.519602, acc: 0.757812] [adversarial loss: 1.006419, acc: 0.343750] 10164: [discriminator loss: 0.559319, acc: 0.750000] [adversarial loss: 1.546742, acc: 0.156250] 10165: [discriminator loss: 0.545482, acc: 0.734375] [adversarial loss: 0.861036, acc: 0.468750] 10166: [discriminator loss: 0.567176, acc: 0.687500] [adversarial loss: 1.492729, acc: 0.140625] 10167: [discriminator loss: 0.565043, acc: 0.679688] [adversarial loss: 1.008713, acc: 0.421875] 10168: [discriminator loss: 0.557497, acc: 0.695312] [adversarial loss: 1.167870, acc: 0.250000] 10169: [discriminator loss: 0.539563, acc: 0.726562] [adversarial loss: 0.916668, acc: 0.390625] 10170: [discriminator loss: 0.513507, acc: 0.781250] [adversarial loss: 1.519629, acc: 0.109375] 10171: [discriminator loss: 0.572159, acc: 0.687500] [adversarial loss: 0.754665, acc: 0.515625] 10172: [discriminator loss: 0.617900, acc: 0.640625] [adversarial loss: 1.590364, acc: 0.203125] 10173: [discriminator loss: 0.577926, acc: 0.687500] [adversarial loss: 0.854263, acc: 0.421875] 10174: [discriminator loss: 0.530790, acc: 0.710938] [adversarial loss: 1.257604, acc: 0.203125] 10175: [discriminator loss: 0.543837, acc: 0.695312] [adversarial loss: 0.819462, acc: 0.468750] 10176: [discriminator loss: 0.549318, acc: 0.703125] [adversarial loss: 1.190869, acc: 0.250000] 10177: [discriminator loss: 0.575076, acc: 0.710938] [adversarial loss: 1.167630, acc: 0.281250] 10178: [discriminator loss: 0.593017, acc: 0.718750] [adversarial loss: 1.503527, acc: 0.140625] 10179: [discriminator loss: 0.513356, acc: 0.703125] [adversarial loss: 1.051830, acc: 0.390625] 10180: [discriminator loss: 0.562288, acc: 0.742188] [adversarial loss: 1.302227, acc: 0.281250] 10181: [discriminator loss: 0.544977, acc: 0.734375] [adversarial loss: 0.967744, acc: 0.312500] 10182: [discriminator loss: 0.542136, acc: 0.726562] [adversarial loss: 1.368195, acc: 0.140625] 10183: [discriminator loss: 0.570301, acc: 0.710938] [adversarial loss: 1.064946, acc: 0.296875] 10184: [discriminator loss: 0.603968, acc: 0.710938] [adversarial loss: 1.460587, acc: 0.046875] 10185: [discriminator loss: 0.597915, acc: 0.703125] [adversarial loss: 1.154052, acc: 0.281250] 10186: [discriminator loss: 0.555382, acc: 0.679688] [adversarial loss: 0.876277, acc: 0.437500] 10187: [discriminator loss: 0.500600, acc: 0.703125] [adversarial loss: 1.207163, acc: 0.218750] 10188: [discriminator loss: 0.658539, acc: 0.617188] [adversarial loss: 0.892805, acc: 0.437500] 10189: [discriminator loss: 0.515813, acc: 0.734375] [adversarial loss: 1.410564, acc: 0.171875] 10190: [discriminator loss: 0.518737, acc: 0.734375] [adversarial loss: 1.002647, acc: 0.312500] 10191: [discriminator loss: 0.471708, acc: 0.742188] [adversarial loss: 1.294801, acc: 0.125000] 10192: [discriminator loss: 0.486781, acc: 0.734375] [adversarial loss: 1.048802, acc: 0.328125] 10193: [discriminator loss: 0.568494, acc: 0.710938] [adversarial loss: 1.102203, acc: 0.203125] 10194: [discriminator loss: 0.531243, acc: 0.750000] [adversarial loss: 1.324729, acc: 0.125000] 10195: [discriminator loss: 0.627055, acc: 0.609375] [adversarial loss: 0.712775, acc: 0.609375] 10196: [discriminator loss: 0.525753, acc: 0.710938] [adversarial loss: 1.417914, acc: 0.125000] 10197: [discriminator loss: 0.589151, acc: 0.687500] [adversarial loss: 1.204077, acc: 0.218750] 10198: [discriminator loss: 0.523804, acc: 0.734375] [adversarial loss: 1.056140, acc: 0.265625] 10199: [discriminator loss: 0.478190, acc: 0.773438] [adversarial loss: 1.195428, acc: 0.218750] 10200: [discriminator loss: 0.504231, acc: 0.742188] [adversarial loss: 1.009304, acc: 0.265625] 10201: [discriminator loss: 0.559872, acc: 0.703125] [adversarial loss: 1.159030, acc: 0.234375] 10202: [discriminator loss: 0.568583, acc: 0.742188] [adversarial loss: 1.155279, acc: 0.250000] 10203: [discriminator loss: 0.475879, acc: 0.789062] [adversarial loss: 1.355443, acc: 0.218750] 10204: [discriminator loss: 0.543888, acc: 0.726562] [adversarial loss: 1.095943, acc: 0.296875] 10205: [discriminator loss: 0.571133, acc: 0.687500] [adversarial loss: 1.217338, acc: 0.281250] 10206: [discriminator loss: 0.540631, acc: 0.703125] [adversarial loss: 0.934507, acc: 0.390625] 10207: [discriminator loss: 0.597085, acc: 0.664062] [adversarial loss: 1.641134, acc: 0.062500] 10208: [discriminator loss: 0.533211, acc: 0.687500] [adversarial loss: 0.909415, acc: 0.359375] 10209: [discriminator loss: 0.638812, acc: 0.664062] [adversarial loss: 1.584981, acc: 0.046875] 10210: [discriminator loss: 0.654869, acc: 0.585938] [adversarial loss: 0.802082, acc: 0.500000] 10211: [discriminator loss: 0.595897, acc: 0.648438] [adversarial loss: 1.382342, acc: 0.109375] 10212: [discriminator loss: 0.618553, acc: 0.656250] [adversarial loss: 0.720904, acc: 0.546875] 10213: [discriminator loss: 0.639893, acc: 0.671875] [adversarial loss: 1.478515, acc: 0.187500] 10214: [discriminator loss: 0.573903, acc: 0.726562] [adversarial loss: 1.027326, acc: 0.343750] 10215: [discriminator loss: 0.592366, acc: 0.640625] [adversarial loss: 1.221975, acc: 0.171875] 10216: [discriminator loss: 0.532555, acc: 0.718750] [adversarial loss: 1.077327, acc: 0.312500] 10217: [discriminator loss: 0.471431, acc: 0.789062] [adversarial loss: 1.079059, acc: 0.296875] 10218: [discriminator loss: 0.481390, acc: 0.820312] [adversarial loss: 1.076963, acc: 0.312500] 10219: [discriminator loss: 0.555419, acc: 0.750000] [adversarial loss: 1.148835, acc: 0.218750] 10220: [discriminator loss: 0.582729, acc: 0.671875] [adversarial loss: 1.036386, acc: 0.312500] 10221: [discriminator loss: 0.587511, acc: 0.710938] [adversarial loss: 1.361763, acc: 0.234375] 10222: [discriminator loss: 0.592985, acc: 0.664062] [adversarial loss: 0.829534, acc: 0.453125] 10223: [discriminator loss: 0.590368, acc: 0.671875] [adversarial loss: 1.394042, acc: 0.171875] 10224: [discriminator loss: 0.581230, acc: 0.710938] [adversarial loss: 0.978277, acc: 0.328125] 10225: [discriminator loss: 0.496738, acc: 0.789062] [adversarial loss: 1.324349, acc: 0.187500] 10226: [discriminator loss: 0.494502, acc: 0.687500] [adversarial loss: 1.039934, acc: 0.312500] 10227: [discriminator loss: 0.581282, acc: 0.695312] [adversarial loss: 1.079564, acc: 0.218750] 10228: [discriminator loss: 0.545631, acc: 0.757812] [adversarial loss: 1.170245, acc: 0.328125] 10229: [discriminator loss: 0.654980, acc: 0.617188] [adversarial loss: 0.983919, acc: 0.296875] 10230: [discriminator loss: 0.568860, acc: 0.679688] [adversarial loss: 1.376195, acc: 0.125000] 10231: [discriminator loss: 0.522205, acc: 0.718750] [adversarial loss: 0.990859, acc: 0.296875] 10232: [discriminator loss: 0.520035, acc: 0.726562] [adversarial loss: 1.203372, acc: 0.265625] 10233: [discriminator loss: 0.540027, acc: 0.742188] [adversarial loss: 1.298505, acc: 0.171875] 10234: [discriminator loss: 0.498809, acc: 0.789062] [adversarial loss: 1.281769, acc: 0.125000] 10235: [discriminator loss: 0.572324, acc: 0.640625] [adversarial loss: 0.941904, acc: 0.437500] 10236: [discriminator loss: 0.503496, acc: 0.742188] [adversarial loss: 1.125051, acc: 0.296875] 10237: [discriminator loss: 0.567932, acc: 0.718750] [adversarial loss: 1.348555, acc: 0.203125] 10238: [discriminator loss: 0.564952, acc: 0.656250] [adversarial loss: 0.960761, acc: 0.406250] 10239: [discriminator loss: 0.584944, acc: 0.656250] [adversarial loss: 1.269268, acc: 0.218750] 10240: [discriminator loss: 0.578612, acc: 0.679688] [adversarial loss: 0.990294, acc: 0.406250] 10241: [discriminator loss: 0.532767, acc: 0.757812] [adversarial loss: 1.555036, acc: 0.093750] 10242: [discriminator loss: 0.457723, acc: 0.796875] [adversarial loss: 1.502570, acc: 0.156250] 10243: [discriminator loss: 0.576518, acc: 0.664062] [adversarial loss: 0.732166, acc: 0.578125] 10244: [discriminator loss: 0.576273, acc: 0.703125] [adversarial loss: 1.398324, acc: 0.140625] 10245: [discriminator loss: 0.597104, acc: 0.656250] [adversarial loss: 0.717616, acc: 0.593750] 10246: [discriminator loss: 0.610131, acc: 0.640625] [adversarial loss: 1.649844, acc: 0.109375] 10247: [discriminator loss: 0.551374, acc: 0.703125] [adversarial loss: 0.959491, acc: 0.359375] 10248: [discriminator loss: 0.498943, acc: 0.789062] [adversarial loss: 1.636927, acc: 0.156250] 10249: [discriminator loss: 0.522854, acc: 0.726562] [adversarial loss: 1.071658, acc: 0.312500] 10250: [discriminator loss: 0.583683, acc: 0.703125] [adversarial loss: 1.208697, acc: 0.203125] 10251: [discriminator loss: 0.553847, acc: 0.710938] [adversarial loss: 0.978907, acc: 0.406250] 10252: [discriminator loss: 0.566484, acc: 0.671875] [adversarial loss: 1.411914, acc: 0.109375] 10253: [discriminator loss: 0.557395, acc: 0.695312] [adversarial loss: 1.148019, acc: 0.218750] 10254: [discriminator loss: 0.451501, acc: 0.804688] [adversarial loss: 1.444409, acc: 0.109375] 10255: [discriminator loss: 0.565624, acc: 0.695312] [adversarial loss: 0.961930, acc: 0.359375] 10256: [discriminator loss: 0.672823, acc: 0.640625] [adversarial loss: 0.933893, acc: 0.390625] 10257: [discriminator loss: 0.573425, acc: 0.710938] [adversarial loss: 1.181878, acc: 0.171875] 10258: [discriminator loss: 0.566645, acc: 0.695312] [adversarial loss: 1.296607, acc: 0.171875] 10259: [discriminator loss: 0.538240, acc: 0.718750] [adversarial loss: 0.990228, acc: 0.375000] 10260: [discriminator loss: 0.475466, acc: 0.828125] [adversarial loss: 1.148383, acc: 0.265625] 10261: [discriminator loss: 0.563345, acc: 0.664062] [adversarial loss: 1.177536, acc: 0.250000] 10262: [discriminator loss: 0.510908, acc: 0.789062] [adversarial loss: 1.296396, acc: 0.156250] 10263: [discriminator loss: 0.584952, acc: 0.656250] [adversarial loss: 1.115166, acc: 0.171875] 10264: [discriminator loss: 0.492879, acc: 0.726562] [adversarial loss: 1.137864, acc: 0.265625] 10265: [discriminator loss: 0.529970, acc: 0.757812] [adversarial loss: 1.333466, acc: 0.218750] 10266: [discriminator loss: 0.628330, acc: 0.648438] [adversarial loss: 1.053316, acc: 0.203125] 10267: [discriminator loss: 0.587072, acc: 0.648438] [adversarial loss: 1.521331, acc: 0.156250] 10268: [discriminator loss: 0.593538, acc: 0.679688] [adversarial loss: 0.842622, acc: 0.468750] 10269: [discriminator loss: 0.590884, acc: 0.695312] [adversarial loss: 1.805459, acc: 0.046875] 10270: [discriminator loss: 0.671309, acc: 0.664062] [adversarial loss: 0.800536, acc: 0.484375] 10271: [discriminator loss: 0.601111, acc: 0.687500] [adversarial loss: 1.306670, acc: 0.156250] 10272: [discriminator loss: 0.585879, acc: 0.710938] [adversarial loss: 1.131531, acc: 0.218750] 10273: [discriminator loss: 0.669255, acc: 0.593750] [adversarial loss: 1.132503, acc: 0.265625] 10274: [discriminator loss: 0.525336, acc: 0.757812] [adversarial loss: 1.356467, acc: 0.203125] 10275: [discriminator loss: 0.567634, acc: 0.703125] [adversarial loss: 1.094066, acc: 0.265625] 10276: [discriminator loss: 0.538060, acc: 0.742188] [adversarial loss: 1.130171, acc: 0.281250] 10277: [discriminator loss: 0.552701, acc: 0.703125] [adversarial loss: 1.159024, acc: 0.312500] 10278: [discriminator loss: 0.525156, acc: 0.742188] [adversarial loss: 1.294122, acc: 0.171875] 10279: [discriminator loss: 0.515276, acc: 0.734375] [adversarial loss: 1.394335, acc: 0.171875] 10280: [discriminator loss: 0.493692, acc: 0.773438] [adversarial loss: 0.901921, acc: 0.390625] 10281: [discriminator loss: 0.540469, acc: 0.695312] [adversarial loss: 1.424044, acc: 0.109375] 10282: [discriminator loss: 0.597739, acc: 0.625000] [adversarial loss: 0.777482, acc: 0.453125] 10283: [discriminator loss: 0.520154, acc: 0.726562] [adversarial loss: 1.497425, acc: 0.078125] 10284: [discriminator loss: 0.573036, acc: 0.703125] [adversarial loss: 0.966782, acc: 0.343750] 10285: [discriminator loss: 0.567767, acc: 0.703125] [adversarial loss: 1.582847, acc: 0.093750] 10286: [discriminator loss: 0.591603, acc: 0.664062] [adversarial loss: 0.889722, acc: 0.390625] 10287: [discriminator loss: 0.589946, acc: 0.640625] [adversarial loss: 1.355534, acc: 0.171875] 10288: [discriminator loss: 0.557397, acc: 0.664062] [adversarial loss: 1.206074, acc: 0.234375] 10289: [discriminator loss: 0.529161, acc: 0.710938] [adversarial loss: 1.255484, acc: 0.203125] 10290: [discriminator loss: 0.523672, acc: 0.734375] [adversarial loss: 0.772879, acc: 0.500000] 10291: [discriminator loss: 0.518660, acc: 0.750000] [adversarial loss: 1.244514, acc: 0.171875] 10292: [discriminator loss: 0.593875, acc: 0.671875] [adversarial loss: 1.022681, acc: 0.312500] 10293: [discriminator loss: 0.519136, acc: 0.726562] [adversarial loss: 1.302096, acc: 0.171875] 10294: [discriminator loss: 0.553452, acc: 0.718750] [adversarial loss: 0.986031, acc: 0.343750] 10295: [discriminator loss: 0.500033, acc: 0.773438] [adversarial loss: 1.100455, acc: 0.375000] 10296: [discriminator loss: 0.535907, acc: 0.773438] [adversarial loss: 1.113996, acc: 0.218750] 10297: [discriminator loss: 0.578954, acc: 0.632812] [adversarial loss: 1.044076, acc: 0.312500] 10298: [discriminator loss: 0.486904, acc: 0.765625] [adversarial loss: 1.504924, acc: 0.093750] 10299: [discriminator loss: 0.593874, acc: 0.648438] [adversarial loss: 1.091247, acc: 0.296875] 10300: [discriminator loss: 0.509716, acc: 0.726562] [adversarial loss: 1.156697, acc: 0.265625] 10301: [discriminator loss: 0.528464, acc: 0.726562] [adversarial loss: 1.230074, acc: 0.265625] 10302: [discriminator loss: 0.551399, acc: 0.718750] [adversarial loss: 0.989989, acc: 0.312500] 10303: [discriminator loss: 0.618905, acc: 0.679688] [adversarial loss: 1.452632, acc: 0.093750] 10304: [discriminator loss: 0.606112, acc: 0.648438] [adversarial loss: 1.009949, acc: 0.312500] 10305: [discriminator loss: 0.637235, acc: 0.656250] [adversarial loss: 1.440803, acc: 0.125000] 10306: [discriminator loss: 0.542461, acc: 0.656250] [adversarial loss: 0.990166, acc: 0.343750] 10307: [discriminator loss: 0.534657, acc: 0.718750] [adversarial loss: 1.368635, acc: 0.187500] 10308: [discriminator loss: 0.577679, acc: 0.671875] [adversarial loss: 1.060911, acc: 0.281250] 10309: [discriminator loss: 0.557404, acc: 0.742188] [adversarial loss: 1.162423, acc: 0.234375] 10310: [discriminator loss: 0.503754, acc: 0.742188] [adversarial loss: 1.160821, acc: 0.265625] 10311: [discriminator loss: 0.559308, acc: 0.671875] [adversarial loss: 1.205564, acc: 0.250000] 10312: [discriminator loss: 0.529952, acc: 0.742188] [adversarial loss: 0.906335, acc: 0.328125] 10313: [discriminator loss: 0.470539, acc: 0.820312] [adversarial loss: 1.324055, acc: 0.140625] 10314: [discriminator loss: 0.610026, acc: 0.726562] [adversarial loss: 0.992259, acc: 0.375000] 10315: [discriminator loss: 0.514893, acc: 0.765625] [adversarial loss: 1.479427, acc: 0.109375] 10316: [discriminator loss: 0.633232, acc: 0.718750] [adversarial loss: 0.799255, acc: 0.500000] 10317: [discriminator loss: 0.589869, acc: 0.679688] [adversarial loss: 1.546877, acc: 0.125000] 10318: [discriminator loss: 0.630832, acc: 0.625000] [adversarial loss: 0.913309, acc: 0.375000] 10319: [discriminator loss: 0.554193, acc: 0.679688] [adversarial loss: 1.320943, acc: 0.203125] 10320: [discriminator loss: 0.580423, acc: 0.656250] [adversarial loss: 0.906400, acc: 0.406250] 10321: [discriminator loss: 0.501354, acc: 0.765625] [adversarial loss: 1.422106, acc: 0.062500] 10322: [discriminator loss: 0.533503, acc: 0.695312] [adversarial loss: 0.917825, acc: 0.421875] 10323: [discriminator loss: 0.644265, acc: 0.664062] [adversarial loss: 1.223588, acc: 0.281250] 10324: [discriminator loss: 0.502805, acc: 0.750000] [adversarial loss: 1.160706, acc: 0.281250] 10325: [discriminator loss: 0.543412, acc: 0.742188] [adversarial loss: 1.088159, acc: 0.218750] 10326: [discriminator loss: 0.571225, acc: 0.734375] [adversarial loss: 1.172186, acc: 0.234375] 10327: [discriminator loss: 0.559341, acc: 0.718750] [adversarial loss: 0.985557, acc: 0.343750] 10328: [discriminator loss: 0.587994, acc: 0.656250] [adversarial loss: 1.135713, acc: 0.265625] 10329: [discriminator loss: 0.516216, acc: 0.757812] [adversarial loss: 1.184518, acc: 0.234375] 10330: [discriminator loss: 0.507195, acc: 0.718750] [adversarial loss: 0.926692, acc: 0.359375] 10331: [discriminator loss: 0.561639, acc: 0.695312] [adversarial loss: 1.478757, acc: 0.140625] 10332: [discriminator loss: 0.516280, acc: 0.718750] [adversarial loss: 0.845145, acc: 0.453125] 10333: [discriminator loss: 0.612457, acc: 0.703125] [adversarial loss: 1.776331, acc: 0.046875] 10334: [discriminator loss: 0.637257, acc: 0.609375] [adversarial loss: 0.802508, acc: 0.484375] 10335: [discriminator loss: 0.600250, acc: 0.648438] [adversarial loss: 1.592511, acc: 0.078125] 10336: [discriminator loss: 0.586724, acc: 0.656250] [adversarial loss: 0.808342, acc: 0.515625] 10337: [discriminator loss: 0.618739, acc: 0.648438] [adversarial loss: 1.332901, acc: 0.250000] 10338: [discriminator loss: 0.559259, acc: 0.687500] [adversarial loss: 1.144015, acc: 0.265625] 10339: [discriminator loss: 0.582099, acc: 0.703125] [adversarial loss: 1.086367, acc: 0.312500] 10340: [discriminator loss: 0.550353, acc: 0.703125] [adversarial loss: 1.094862, acc: 0.281250] 10341: [discriminator loss: 0.540373, acc: 0.726562] [adversarial loss: 1.093414, acc: 0.250000] 10342: [discriminator loss: 0.584152, acc: 0.671875] [adversarial loss: 1.219722, acc: 0.218750] 10343: [discriminator loss: 0.537229, acc: 0.734375] [adversarial loss: 1.260394, acc: 0.187500] 10344: [discriminator loss: 0.541649, acc: 0.718750] [adversarial loss: 0.895916, acc: 0.328125] 10345: [discriminator loss: 0.612083, acc: 0.687500] [adversarial loss: 1.438014, acc: 0.093750] 10346: [discriminator loss: 0.547920, acc: 0.750000] [adversarial loss: 1.014756, acc: 0.406250] 10347: [discriminator loss: 0.444210, acc: 0.742188] [adversarial loss: 1.337896, acc: 0.062500] 10348: [discriminator loss: 0.564672, acc: 0.671875] [adversarial loss: 1.093023, acc: 0.328125] 10349: [discriminator loss: 0.609343, acc: 0.656250] [adversarial loss: 1.411767, acc: 0.078125] 10350: [discriminator loss: 0.618861, acc: 0.687500] [adversarial loss: 0.879845, acc: 0.359375] 10351: [discriminator loss: 0.560784, acc: 0.703125] [adversarial loss: 1.459159, acc: 0.187500] 10352: [discriminator loss: 0.573986, acc: 0.687500] [adversarial loss: 0.846765, acc: 0.515625] 10353: [discriminator loss: 0.463100, acc: 0.804688] [adversarial loss: 1.417995, acc: 0.218750] 10354: [discriminator loss: 0.563030, acc: 0.695312] [adversarial loss: 0.878714, acc: 0.421875] 10355: [discriminator loss: 0.518326, acc: 0.695312] [adversarial loss: 1.562021, acc: 0.093750] 10356: [discriminator loss: 0.526051, acc: 0.757812] [adversarial loss: 0.890201, acc: 0.390625] 10357: [discriminator loss: 0.548516, acc: 0.710938] [adversarial loss: 1.271139, acc: 0.265625] 10358: [discriminator loss: 0.577484, acc: 0.695312] [adversarial loss: 0.945391, acc: 0.343750] 10359: [discriminator loss: 0.660870, acc: 0.601562] [adversarial loss: 1.672285, acc: 0.109375] 10360: [discriminator loss: 0.582004, acc: 0.656250] [adversarial loss: 0.903937, acc: 0.406250] 10361: [discriminator loss: 0.545186, acc: 0.757812] [adversarial loss: 1.464352, acc: 0.109375] 10362: [discriminator loss: 0.547445, acc: 0.718750] [adversarial loss: 0.876557, acc: 0.390625] 10363: [discriminator loss: 0.536435, acc: 0.757812] [adversarial loss: 1.145822, acc: 0.296875] 10364: [discriminator loss: 0.496412, acc: 0.765625] [adversarial loss: 1.203567, acc: 0.156250] 10365: [discriminator loss: 0.669122, acc: 0.640625] [adversarial loss: 1.153507, acc: 0.250000] 10366: [discriminator loss: 0.485818, acc: 0.804688] [adversarial loss: 1.006104, acc: 0.328125] 10367: [discriminator loss: 0.534202, acc: 0.718750] [adversarial loss: 1.442813, acc: 0.140625] 10368: [discriminator loss: 0.583988, acc: 0.671875] [adversarial loss: 1.102533, acc: 0.218750] 10369: [discriminator loss: 0.535419, acc: 0.742188] [adversarial loss: 0.970151, acc: 0.390625] 10370: [discriminator loss: 0.545776, acc: 0.726562] [adversarial loss: 1.282844, acc: 0.125000] 10371: [discriminator loss: 0.615658, acc: 0.648438] [adversarial loss: 1.114234, acc: 0.296875] 10372: [discriminator loss: 0.567429, acc: 0.703125] [adversarial loss: 1.335132, acc: 0.125000] 10373: [discriminator loss: 0.552026, acc: 0.765625] [adversarial loss: 0.892301, acc: 0.421875] 10374: [discriminator loss: 0.550037, acc: 0.742188] [adversarial loss: 1.439648, acc: 0.140625] 10375: [discriminator loss: 0.508566, acc: 0.765625] [adversarial loss: 1.026473, acc: 0.312500] 10376: [discriminator loss: 0.675311, acc: 0.648438] [adversarial loss: 1.629161, acc: 0.031250] 10377: [discriminator loss: 0.603562, acc: 0.679688] [adversarial loss: 0.969448, acc: 0.328125] 10378: [discriminator loss: 0.596229, acc: 0.718750] [adversarial loss: 1.287793, acc: 0.203125] 10379: [discriminator loss: 0.545400, acc: 0.734375] [adversarial loss: 1.151219, acc: 0.234375] 10380: [discriminator loss: 0.561549, acc: 0.687500] [adversarial loss: 1.239618, acc: 0.203125] 10381: [discriminator loss: 0.541833, acc: 0.679688] [adversarial loss: 0.892618, acc: 0.390625] 10382: [discriminator loss: 0.583251, acc: 0.656250] [adversarial loss: 1.367723, acc: 0.140625] 10383: [discriminator loss: 0.575426, acc: 0.671875] [adversarial loss: 0.893314, acc: 0.343750] 10384: [discriminator loss: 0.546318, acc: 0.718750] [adversarial loss: 1.374329, acc: 0.109375] 10385: [discriminator loss: 0.589446, acc: 0.703125] [adversarial loss: 0.820031, acc: 0.484375] 10386: [discriminator loss: 0.634184, acc: 0.671875] [adversarial loss: 1.202908, acc: 0.218750] 10387: [discriminator loss: 0.499857, acc: 0.765625] [adversarial loss: 0.825979, acc: 0.406250] 10388: [discriminator loss: 0.527879, acc: 0.734375] [adversarial loss: 1.250156, acc: 0.281250] 10389: [discriminator loss: 0.565712, acc: 0.718750] [adversarial loss: 1.047697, acc: 0.375000] 10390: [discriminator loss: 0.569753, acc: 0.703125] [adversarial loss: 1.283237, acc: 0.203125] 10391: [discriminator loss: 0.574274, acc: 0.664062] [adversarial loss: 0.924780, acc: 0.437500] 10392: [discriminator loss: 0.558882, acc: 0.710938] [adversarial loss: 1.524469, acc: 0.187500] 10393: [discriminator loss: 0.581867, acc: 0.671875] [adversarial loss: 0.976015, acc: 0.343750] 10394: [discriminator loss: 0.632754, acc: 0.625000] [adversarial loss: 1.300224, acc: 0.218750] 10395: [discriminator loss: 0.545899, acc: 0.765625] [adversarial loss: 0.853479, acc: 0.500000] 10396: [discriminator loss: 0.578076, acc: 0.718750] [adversarial loss: 1.339201, acc: 0.140625] 10397: [discriminator loss: 0.564833, acc: 0.710938] [adversarial loss: 1.003596, acc: 0.312500] 10398: [discriminator loss: 0.568912, acc: 0.742188] [adversarial loss: 1.357203, acc: 0.156250] 10399: [discriminator loss: 0.622183, acc: 0.640625] [adversarial loss: 1.010451, acc: 0.296875] 10400: [discriminator loss: 0.539707, acc: 0.750000] [adversarial loss: 1.026463, acc: 0.375000] 10401: [discriminator loss: 0.525926, acc: 0.734375] [adversarial loss: 1.094949, acc: 0.265625] 10402: [discriminator loss: 0.617177, acc: 0.664062] [adversarial loss: 1.270887, acc: 0.140625] 10403: [discriminator loss: 0.535322, acc: 0.710938] [adversarial loss: 0.938200, acc: 0.421875] 10404: [discriminator loss: 0.617321, acc: 0.703125] [adversarial loss: 1.359078, acc: 0.078125] 10405: [discriminator loss: 0.550978, acc: 0.679688] [adversarial loss: 0.814620, acc: 0.500000] 10406: [discriminator loss: 0.615609, acc: 0.625000] [adversarial loss: 1.446127, acc: 0.140625] 10407: [discriminator loss: 0.522600, acc: 0.718750] [adversarial loss: 0.939111, acc: 0.390625] 10408: [discriminator loss: 0.572813, acc: 0.687500] [adversarial loss: 1.399415, acc: 0.218750] 10409: [discriminator loss: 0.536266, acc: 0.773438] [adversarial loss: 1.021707, acc: 0.328125] 10410: [discriminator loss: 0.529519, acc: 0.726562] [adversarial loss: 1.285625, acc: 0.250000] 10411: [discriminator loss: 0.601566, acc: 0.687500] [adversarial loss: 1.116628, acc: 0.265625] 10412: [discriminator loss: 0.524137, acc: 0.734375] [adversarial loss: 0.930179, acc: 0.343750] 10413: [discriminator loss: 0.561965, acc: 0.687500] [adversarial loss: 1.226871, acc: 0.265625] 10414: [discriminator loss: 0.554470, acc: 0.710938] [adversarial loss: 1.014344, acc: 0.343750] 10415: [discriminator loss: 0.552488, acc: 0.695312] [adversarial loss: 1.259112, acc: 0.156250] 10416: [discriminator loss: 0.614700, acc: 0.664062] [adversarial loss: 1.003805, acc: 0.343750] 10417: [discriminator loss: 0.578205, acc: 0.703125] [adversarial loss: 1.260915, acc: 0.218750] 10418: [discriminator loss: 0.579228, acc: 0.718750] [adversarial loss: 1.177703, acc: 0.328125] 10419: [discriminator loss: 0.549601, acc: 0.742188] [adversarial loss: 1.049378, acc: 0.343750] 10420: [discriminator loss: 0.483882, acc: 0.765625] [adversarial loss: 1.169362, acc: 0.218750] 10421: [discriminator loss: 0.547608, acc: 0.710938] [adversarial loss: 1.002107, acc: 0.312500] 10422: [discriminator loss: 0.600840, acc: 0.703125] [adversarial loss: 1.187642, acc: 0.281250] 10423: [discriminator loss: 0.511548, acc: 0.726562] [adversarial loss: 0.875902, acc: 0.390625] 10424: [discriminator loss: 0.541665, acc: 0.750000] [adversarial loss: 1.365442, acc: 0.125000] 10425: [discriminator loss: 0.574706, acc: 0.648438] [adversarial loss: 0.769679, acc: 0.515625] 10426: [discriminator loss: 0.548931, acc: 0.679688] [adversarial loss: 1.717216, acc: 0.062500] 10427: [discriminator loss: 0.566017, acc: 0.671875] [adversarial loss: 0.855268, acc: 0.468750] 10428: [discriminator loss: 0.563058, acc: 0.750000] [adversarial loss: 1.264139, acc: 0.156250] 10429: [discriminator loss: 0.566529, acc: 0.710938] [adversarial loss: 0.985090, acc: 0.312500] 10430: [discriminator loss: 0.540203, acc: 0.742188] [adversarial loss: 1.341416, acc: 0.125000] 10431: [discriminator loss: 0.568942, acc: 0.664062] [adversarial loss: 0.895273, acc: 0.468750] 10432: [discriminator loss: 0.577623, acc: 0.695312] [adversarial loss: 1.247692, acc: 0.218750] 10433: [discriminator loss: 0.589351, acc: 0.648438] [adversarial loss: 0.823440, acc: 0.421875] 10434: [discriminator loss: 0.620311, acc: 0.679688] [adversarial loss: 1.445396, acc: 0.125000] 10435: [discriminator loss: 0.565199, acc: 0.687500] [adversarial loss: 0.820497, acc: 0.484375] 10436: [discriminator loss: 0.547888, acc: 0.718750] [adversarial loss: 1.512949, acc: 0.093750] 10437: [discriminator loss: 0.598292, acc: 0.664062] [adversarial loss: 0.873935, acc: 0.390625] 10438: [discriminator loss: 0.510916, acc: 0.773438] [adversarial loss: 1.360117, acc: 0.140625] 10439: [discriminator loss: 0.526452, acc: 0.687500] [adversarial loss: 1.149970, acc: 0.187500] 10440: [discriminator loss: 0.529186, acc: 0.726562] [adversarial loss: 1.282856, acc: 0.125000] 10441: [discriminator loss: 0.474451, acc: 0.789062] [adversarial loss: 1.055825, acc: 0.234375] 10442: [discriminator loss: 0.621247, acc: 0.687500] [adversarial loss: 1.536545, acc: 0.046875] 10443: [discriminator loss: 0.575227, acc: 0.726562] [adversarial loss: 0.790622, acc: 0.515625] 10444: [discriminator loss: 0.492246, acc: 0.750000] [adversarial loss: 1.387455, acc: 0.140625] 10445: [discriminator loss: 0.547576, acc: 0.734375] [adversarial loss: 0.844470, acc: 0.437500] 10446: [discriminator loss: 0.524439, acc: 0.710938] [adversarial loss: 1.424701, acc: 0.203125] 10447: [discriminator loss: 0.599906, acc: 0.625000] [adversarial loss: 0.974312, acc: 0.390625] 10448: [discriminator loss: 0.525499, acc: 0.734375] [adversarial loss: 1.143975, acc: 0.343750] 10449: [discriminator loss: 0.513186, acc: 0.726562] [adversarial loss: 0.718374, acc: 0.609375] 10450: [discriminator loss: 0.625119, acc: 0.656250] [adversarial loss: 1.615301, acc: 0.109375] 10451: [discriminator loss: 0.598731, acc: 0.710938] [adversarial loss: 1.126960, acc: 0.218750] 10452: [discriminator loss: 0.601043, acc: 0.679688] [adversarial loss: 1.283236, acc: 0.296875] 10453: [discriminator loss: 0.613275, acc: 0.640625] [adversarial loss: 1.141092, acc: 0.281250] 10454: [discriminator loss: 0.583063, acc: 0.664062] [adversarial loss: 1.074417, acc: 0.265625] 10455: [discriminator loss: 0.626588, acc: 0.656250] [adversarial loss: 1.117563, acc: 0.265625] 10456: [discriminator loss: 0.592705, acc: 0.679688] [adversarial loss: 1.048520, acc: 0.250000] 10457: [discriminator loss: 0.514484, acc: 0.742188] [adversarial loss: 1.272448, acc: 0.218750] 10458: [discriminator loss: 0.517925, acc: 0.718750] [adversarial loss: 1.221080, acc: 0.218750] 10459: [discriminator loss: 0.571559, acc: 0.679688] [adversarial loss: 1.154499, acc: 0.234375] 10460: [discriminator loss: 0.590290, acc: 0.671875] [adversarial loss: 1.301429, acc: 0.234375] 10461: [discriminator loss: 0.491279, acc: 0.781250] [adversarial loss: 1.075876, acc: 0.250000] 10462: [discriminator loss: 0.564260, acc: 0.750000] [adversarial loss: 1.222646, acc: 0.218750] 10463: [discriminator loss: 0.519843, acc: 0.695312] [adversarial loss: 1.039583, acc: 0.296875] 10464: [discriminator loss: 0.535686, acc: 0.734375] [adversarial loss: 1.073007, acc: 0.328125] 10465: [discriminator loss: 0.667464, acc: 0.625000] [adversarial loss: 1.085390, acc: 0.328125] 10466: [discriminator loss: 0.539033, acc: 0.718750] [adversarial loss: 1.063389, acc: 0.265625] 10467: [discriminator loss: 0.569436, acc: 0.734375] [adversarial loss: 1.416084, acc: 0.140625] 10468: [discriminator loss: 0.540712, acc: 0.734375] [adversarial loss: 1.064088, acc: 0.328125] 10469: [discriminator loss: 0.567728, acc: 0.703125] [adversarial loss: 1.436962, acc: 0.062500] 10470: [discriminator loss: 0.611891, acc: 0.656250] [adversarial loss: 0.737443, acc: 0.531250] 10471: [discriminator loss: 0.610577, acc: 0.695312] [adversarial loss: 1.616345, acc: 0.062500] 10472: [discriminator loss: 0.557615, acc: 0.710938] [adversarial loss: 0.858300, acc: 0.531250] 10473: [discriminator loss: 0.540594, acc: 0.695312] [adversarial loss: 1.624352, acc: 0.046875] 10474: [discriminator loss: 0.536129, acc: 0.687500] [adversarial loss: 1.017371, acc: 0.421875] 10475: [discriminator loss: 0.627264, acc: 0.640625] [adversarial loss: 1.397152, acc: 0.062500] 10476: [discriminator loss: 0.533912, acc: 0.726562] [adversarial loss: 1.057501, acc: 0.312500] 10477: [discriminator loss: 0.516167, acc: 0.734375] [adversarial loss: 1.176823, acc: 0.250000] 10478: [discriminator loss: 0.581479, acc: 0.679688] [adversarial loss: 1.200541, acc: 0.203125] 10479: [discriminator loss: 0.512918, acc: 0.781250] [adversarial loss: 1.123898, acc: 0.203125] 10480: [discriminator loss: 0.511717, acc: 0.765625] [adversarial loss: 0.987575, acc: 0.343750] 10481: [discriminator loss: 0.563617, acc: 0.718750] [adversarial loss: 1.041744, acc: 0.375000] 10482: [discriminator loss: 0.586827, acc: 0.687500] [adversarial loss: 1.075279, acc: 0.265625] 10483: [discriminator loss: 0.576070, acc: 0.710938] [adversarial loss: 1.211645, acc: 0.125000] 10484: [discriminator loss: 0.488918, acc: 0.765625] [adversarial loss: 0.949595, acc: 0.375000] 10485: [discriminator loss: 0.496492, acc: 0.765625] [adversarial loss: 1.101335, acc: 0.265625] 10486: [discriminator loss: 0.548872, acc: 0.734375] [adversarial loss: 0.995583, acc: 0.312500] 10487: [discriminator loss: 0.514441, acc: 0.750000] [adversarial loss: 1.045208, acc: 0.359375] 10488: [discriminator loss: 0.589597, acc: 0.648438] [adversarial loss: 1.199490, acc: 0.187500] 10489: [discriminator loss: 0.566559, acc: 0.703125] [adversarial loss: 1.363096, acc: 0.203125] 10490: [discriminator loss: 0.544310, acc: 0.734375] [adversarial loss: 1.228340, acc: 0.140625] 10491: [discriminator loss: 0.471144, acc: 0.789062] [adversarial loss: 1.270660, acc: 0.203125] 10492: [discriminator loss: 0.526358, acc: 0.750000] [adversarial loss: 1.214294, acc: 0.156250] 10493: [discriminator loss: 0.509200, acc: 0.718750] [adversarial loss: 1.052513, acc: 0.296875] 10494: [discriminator loss: 0.599214, acc: 0.640625] [adversarial loss: 1.138319, acc: 0.343750] 10495: [discriminator loss: 0.598904, acc: 0.710938] [adversarial loss: 1.147492, acc: 0.250000] 10496: [discriminator loss: 0.605651, acc: 0.671875] [adversarial loss: 0.948638, acc: 0.312500] 10497: [discriminator loss: 0.567982, acc: 0.656250] [adversarial loss: 1.215161, acc: 0.250000] 10498: [discriminator loss: 0.569271, acc: 0.718750] [adversarial loss: 1.128708, acc: 0.265625] 10499: [discriminator loss: 0.546977, acc: 0.742188] [adversarial loss: 1.076180, acc: 0.250000] 10500: [discriminator loss: 0.537918, acc: 0.703125] [adversarial loss: 1.153944, acc: 0.203125] 10501: [discriminator loss: 0.570702, acc: 0.710938] [adversarial loss: 1.237927, acc: 0.218750] 10502: [discriminator loss: 0.514442, acc: 0.710938] [adversarial loss: 0.977467, acc: 0.390625] 10503: [discriminator loss: 0.515917, acc: 0.726562] [adversarial loss: 1.638858, acc: 0.031250] 10504: [discriminator loss: 0.625762, acc: 0.656250] [adversarial loss: 0.678174, acc: 0.656250] 10505: [discriminator loss: 0.730700, acc: 0.601562] [adversarial loss: 1.811206, acc: 0.093750] 10506: [discriminator loss: 0.642079, acc: 0.671875] [adversarial loss: 0.767031, acc: 0.453125] 10507: [discriminator loss: 0.535193, acc: 0.695312] [adversarial loss: 1.565319, acc: 0.171875] 10508: [discriminator loss: 0.600790, acc: 0.664062] [adversarial loss: 0.972853, acc: 0.359375] 10509: [discriminator loss: 0.544736, acc: 0.718750] [adversarial loss: 1.191715, acc: 0.234375] 10510: [discriminator loss: 0.554155, acc: 0.703125] [adversarial loss: 1.051012, acc: 0.281250] 10511: [discriminator loss: 0.556552, acc: 0.726562] [adversarial loss: 1.061088, acc: 0.312500] 10512: [discriminator loss: 0.575363, acc: 0.703125] [adversarial loss: 1.304795, acc: 0.250000] 10513: [discriminator loss: 0.560669, acc: 0.687500] [adversarial loss: 1.119614, acc: 0.250000] 10514: [discriminator loss: 0.601561, acc: 0.640625] [adversarial loss: 1.289604, acc: 0.218750] 10515: [discriminator loss: 0.544936, acc: 0.734375] [adversarial loss: 1.234418, acc: 0.203125] 10516: [discriminator loss: 0.611522, acc: 0.648438] [adversarial loss: 1.172677, acc: 0.187500] 10517: [discriminator loss: 0.620609, acc: 0.640625] [adversarial loss: 1.034387, acc: 0.296875] 10518: [discriminator loss: 0.537415, acc: 0.742188] [adversarial loss: 1.226540, acc: 0.234375] 10519: [discriminator loss: 0.561638, acc: 0.726562] [adversarial loss: 1.046742, acc: 0.328125] 10520: [discriminator loss: 0.588692, acc: 0.679688] [adversarial loss: 1.457241, acc: 0.093750] 10521: [discriminator loss: 0.600858, acc: 0.687500] [adversarial loss: 0.867418, acc: 0.406250] 10522: [discriminator loss: 0.564441, acc: 0.695312] [adversarial loss: 1.300257, acc: 0.046875] 10523: [discriminator loss: 0.592588, acc: 0.671875] [adversarial loss: 0.941852, acc: 0.375000] 10524: [discriminator loss: 0.537105, acc: 0.734375] [adversarial loss: 1.570747, acc: 0.125000] 10525: [discriminator loss: 0.642084, acc: 0.648438] [adversarial loss: 0.745395, acc: 0.468750] 10526: [discriminator loss: 0.574989, acc: 0.687500] [adversarial loss: 1.541173, acc: 0.140625] 10527: [discriminator loss: 0.611712, acc: 0.687500] [adversarial loss: 1.020977, acc: 0.265625] 10528: [discriminator loss: 0.539301, acc: 0.718750] [adversarial loss: 1.272944, acc: 0.218750] 10529: [discriminator loss: 0.475265, acc: 0.773438] [adversarial loss: 0.970523, acc: 0.312500] 10530: [discriminator loss: 0.571048, acc: 0.695312] [adversarial loss: 1.188532, acc: 0.218750] 10531: [discriminator loss: 0.539895, acc: 0.687500] [adversarial loss: 1.241225, acc: 0.171875] 10532: [discriminator loss: 0.502122, acc: 0.726562] [adversarial loss: 1.051023, acc: 0.343750] 10533: [discriminator loss: 0.558498, acc: 0.718750] [adversarial loss: 1.084036, acc: 0.265625] 10534: [discriminator loss: 0.553050, acc: 0.718750] [adversarial loss: 1.089138, acc: 0.312500] 10535: [discriminator loss: 0.490964, acc: 0.773438] [adversarial loss: 1.183975, acc: 0.234375] 10536: [discriminator loss: 0.565817, acc: 0.695312] [adversarial loss: 1.077901, acc: 0.296875] 10537: [discriminator loss: 0.595071, acc: 0.656250] [adversarial loss: 1.252131, acc: 0.140625] 10538: [discriminator loss: 0.476055, acc: 0.765625] [adversarial loss: 0.772095, acc: 0.453125] 10539: [discriminator loss: 0.561075, acc: 0.718750] [adversarial loss: 1.438877, acc: 0.125000] 10540: [discriminator loss: 0.577697, acc: 0.648438] [adversarial loss: 1.025869, acc: 0.343750] 10541: [discriminator loss: 0.447669, acc: 0.789062] [adversarial loss: 1.355497, acc: 0.171875] 10542: [discriminator loss: 0.580715, acc: 0.695312] [adversarial loss: 0.879732, acc: 0.421875] 10543: [discriminator loss: 0.590400, acc: 0.656250] [adversarial loss: 1.410059, acc: 0.109375] 10544: [discriminator loss: 0.620584, acc: 0.664062] [adversarial loss: 0.760973, acc: 0.531250] 10545: [discriminator loss: 0.619522, acc: 0.656250] [adversarial loss: 1.373042, acc: 0.234375] 10546: [discriminator loss: 0.614365, acc: 0.640625] [adversarial loss: 0.835154, acc: 0.453125] 10547: [discriminator loss: 0.491728, acc: 0.773438] [adversarial loss: 1.326469, acc: 0.203125] 10548: [discriminator loss: 0.584933, acc: 0.640625] [adversarial loss: 0.936319, acc: 0.421875] 10549: [discriminator loss: 0.555748, acc: 0.726562] [adversarial loss: 1.232882, acc: 0.171875] 10550: [discriminator loss: 0.549610, acc: 0.703125] [adversarial loss: 0.856980, acc: 0.390625] 10551: [discriminator loss: 0.617807, acc: 0.632812] [adversarial loss: 1.195170, acc: 0.203125] 10552: [discriminator loss: 0.528561, acc: 0.718750] [adversarial loss: 1.005350, acc: 0.265625] 10553: [discriminator loss: 0.523444, acc: 0.765625] [adversarial loss: 1.151964, acc: 0.234375] 10554: [discriminator loss: 0.601320, acc: 0.656250] [adversarial loss: 0.930709, acc: 0.328125] 10555: [discriminator loss: 0.556249, acc: 0.679688] [adversarial loss: 1.214035, acc: 0.234375] 10556: [discriminator loss: 0.552240, acc: 0.718750] [adversarial loss: 1.178780, acc: 0.281250] 10557: [discriminator loss: 0.558675, acc: 0.718750] [adversarial loss: 1.267807, acc: 0.265625] 10558: [discriminator loss: 0.568218, acc: 0.703125] [adversarial loss: 1.156530, acc: 0.265625] 10559: [discriminator loss: 0.611825, acc: 0.687500] [adversarial loss: 1.464682, acc: 0.156250] 10560: [discriminator loss: 0.565332, acc: 0.710938] [adversarial loss: 1.005430, acc: 0.281250] 10561: [discriminator loss: 0.476112, acc: 0.734375] [adversarial loss: 1.534476, acc: 0.171875] 10562: [discriminator loss: 0.539473, acc: 0.750000] [adversarial loss: 0.836213, acc: 0.515625] 10563: [discriminator loss: 0.541744, acc: 0.687500] [adversarial loss: 1.241898, acc: 0.156250] 10564: [discriminator loss: 0.572546, acc: 0.718750] [adversarial loss: 1.054110, acc: 0.281250] 10565: [discriminator loss: 0.521133, acc: 0.734375] [adversarial loss: 1.175496, acc: 0.265625] 10566: [discriminator loss: 0.495212, acc: 0.773438] [adversarial loss: 1.386336, acc: 0.140625] 10567: [discriminator loss: 0.617728, acc: 0.640625] [adversarial loss: 1.118889, acc: 0.250000] 10568: [discriminator loss: 0.607454, acc: 0.632812] [adversarial loss: 1.009381, acc: 0.343750] 10569: [discriminator loss: 0.554191, acc: 0.718750] [adversarial loss: 1.039644, acc: 0.343750] 10570: [discriminator loss: 0.569084, acc: 0.648438] [adversarial loss: 1.255679, acc: 0.125000] 10571: [discriminator loss: 0.522626, acc: 0.750000] [adversarial loss: 1.123093, acc: 0.250000] 10572: [discriminator loss: 0.548848, acc: 0.757812] [adversarial loss: 0.976751, acc: 0.359375] 10573: [discriminator loss: 0.521396, acc: 0.726562] [adversarial loss: 1.376239, acc: 0.109375] 10574: [discriminator loss: 0.588590, acc: 0.710938] [adversarial loss: 0.760086, acc: 0.484375] 10575: [discriminator loss: 0.509880, acc: 0.773438] [adversarial loss: 1.376229, acc: 0.140625] 10576: [discriminator loss: 0.642510, acc: 0.585938] [adversarial loss: 0.875157, acc: 0.437500] 10577: [discriminator loss: 0.494502, acc: 0.750000] [adversarial loss: 1.301308, acc: 0.171875] 10578: [discriminator loss: 0.531148, acc: 0.703125] [adversarial loss: 0.830862, acc: 0.453125] 10579: [discriminator loss: 0.537806, acc: 0.750000] [adversarial loss: 1.449636, acc: 0.203125] 10580: [discriminator loss: 0.590881, acc: 0.710938] [adversarial loss: 1.036060, acc: 0.328125] 10581: [discriminator loss: 0.564743, acc: 0.710938] [adversarial loss: 1.159724, acc: 0.171875] 10582: [discriminator loss: 0.522037, acc: 0.734375] [adversarial loss: 1.346778, acc: 0.125000] 10583: [discriminator loss: 0.554073, acc: 0.703125] [adversarial loss: 0.955382, acc: 0.406250] 10584: [discriminator loss: 0.531683, acc: 0.718750] [adversarial loss: 1.518371, acc: 0.093750] 10585: [discriminator loss: 0.595390, acc: 0.632812] [adversarial loss: 0.790993, acc: 0.484375] 10586: [discriminator loss: 0.545068, acc: 0.726562] [adversarial loss: 1.313347, acc: 0.156250] 10587: [discriminator loss: 0.523097, acc: 0.726562] [adversarial loss: 0.764333, acc: 0.531250] 10588: [discriminator loss: 0.517807, acc: 0.718750] [adversarial loss: 1.241741, acc: 0.140625] 10589: [discriminator loss: 0.540501, acc: 0.718750] [adversarial loss: 1.178448, acc: 0.234375] 10590: [discriminator loss: 0.583927, acc: 0.687500] [adversarial loss: 0.962365, acc: 0.406250] 10591: [discriminator loss: 0.513487, acc: 0.781250] [adversarial loss: 1.485418, acc: 0.078125] 10592: [discriminator loss: 0.594427, acc: 0.640625] [adversarial loss: 0.721397, acc: 0.531250] 10593: [discriminator loss: 0.583404, acc: 0.671875] [adversarial loss: 1.495386, acc: 0.140625] 10594: [discriminator loss: 0.593297, acc: 0.679688] [adversarial loss: 0.936605, acc: 0.359375] 10595: [discriminator loss: 0.545877, acc: 0.695312] [adversarial loss: 1.256993, acc: 0.140625] 10596: [discriminator loss: 0.581075, acc: 0.710938] [adversarial loss: 0.991526, acc: 0.359375] 10597: [discriminator loss: 0.541420, acc: 0.742188] [adversarial loss: 1.216830, acc: 0.171875] 10598: [discriminator loss: 0.508114, acc: 0.789062] [adversarial loss: 1.264317, acc: 0.234375] 10599: [discriminator loss: 0.606032, acc: 0.664062] [adversarial loss: 1.197024, acc: 0.218750] 10600: [discriminator loss: 0.536505, acc: 0.710938] [adversarial loss: 1.154693, acc: 0.250000] 10601: [discriminator loss: 0.447617, acc: 0.796875] [adversarial loss: 1.002523, acc: 0.328125] 10602: [discriminator loss: 0.586075, acc: 0.687500] [adversarial loss: 1.189625, acc: 0.234375] 10603: [discriminator loss: 0.529768, acc: 0.742188] [adversarial loss: 0.907266, acc: 0.437500] 10604: [discriminator loss: 0.584682, acc: 0.718750] [adversarial loss: 1.424186, acc: 0.140625] 10605: [discriminator loss: 0.566234, acc: 0.710938] [adversarial loss: 0.745398, acc: 0.578125] 10606: [discriminator loss: 0.586362, acc: 0.648438] [adversarial loss: 1.523884, acc: 0.093750] 10607: [discriminator loss: 0.586603, acc: 0.648438] [adversarial loss: 1.019149, acc: 0.328125] 10608: [discriminator loss: 0.560408, acc: 0.664062] [adversarial loss: 1.628125, acc: 0.125000] 10609: [discriminator loss: 0.513713, acc: 0.765625] [adversarial loss: 1.059181, acc: 0.281250] 10610: [discriminator loss: 0.509948, acc: 0.804688] [adversarial loss: 1.311471, acc: 0.156250] 10611: [discriminator loss: 0.547866, acc: 0.703125] [adversarial loss: 1.418939, acc: 0.156250] 10612: [discriminator loss: 0.561897, acc: 0.695312] [adversarial loss: 1.079031, acc: 0.265625] 10613: [discriminator loss: 0.568567, acc: 0.734375] [adversarial loss: 1.355821, acc: 0.203125] 10614: [discriminator loss: 0.503715, acc: 0.734375] [adversarial loss: 1.254673, acc: 0.234375] 10615: [discriminator loss: 0.489395, acc: 0.773438] [adversarial loss: 0.990038, acc: 0.281250] 10616: [discriminator loss: 0.608264, acc: 0.632812] [adversarial loss: 1.255207, acc: 0.171875] 10617: [discriminator loss: 0.539466, acc: 0.726562] [adversarial loss: 1.046561, acc: 0.343750] 10618: [discriminator loss: 0.581187, acc: 0.726562] [adversarial loss: 1.336340, acc: 0.203125] 10619: [discriminator loss: 0.696802, acc: 0.648438] [adversarial loss: 0.851892, acc: 0.406250] 10620: [discriminator loss: 0.504892, acc: 0.734375] [adversarial loss: 1.250652, acc: 0.140625] 10621: [discriminator loss: 0.634515, acc: 0.664062] [adversarial loss: 1.150682, acc: 0.187500] 10622: [discriminator loss: 0.543697, acc: 0.710938] [adversarial loss: 1.211770, acc: 0.250000] 10623: [discriminator loss: 0.528979, acc: 0.734375] [adversarial loss: 1.350884, acc: 0.125000] 10624: [discriminator loss: 0.514084, acc: 0.734375] [adversarial loss: 1.137480, acc: 0.203125] 10625: [discriminator loss: 0.571202, acc: 0.718750] [adversarial loss: 1.197907, acc: 0.203125] 10626: [discriminator loss: 0.591332, acc: 0.679688] [adversarial loss: 0.885891, acc: 0.390625] 10627: [discriminator loss: 0.562851, acc: 0.687500] [adversarial loss: 1.436128, acc: 0.125000] 10628: [discriminator loss: 0.563090, acc: 0.710938] [adversarial loss: 0.864058, acc: 0.453125] 10629: [discriminator loss: 0.565795, acc: 0.710938] [adversarial loss: 1.414805, acc: 0.109375] 10630: [discriminator loss: 0.513044, acc: 0.757812] [adversarial loss: 0.889357, acc: 0.421875] 10631: [discriminator loss: 0.595686, acc: 0.664062] [adversarial loss: 1.524425, acc: 0.078125] 10632: [discriminator loss: 0.555370, acc: 0.679688] [adversarial loss: 0.889422, acc: 0.468750] 10633: [discriminator loss: 0.571954, acc: 0.648438] [adversarial loss: 1.242401, acc: 0.140625] 10634: [discriminator loss: 0.586615, acc: 0.664062] [adversarial loss: 1.104598, acc: 0.312500] 10635: [discriminator loss: 0.580424, acc: 0.656250] [adversarial loss: 1.180084, acc: 0.187500] 10636: [discriminator loss: 0.617446, acc: 0.625000] [adversarial loss: 1.082662, acc: 0.218750] 10637: [discriminator loss: 0.609007, acc: 0.664062] [adversarial loss: 1.148575, acc: 0.218750] 10638: [discriminator loss: 0.549985, acc: 0.718750] [adversarial loss: 0.898824, acc: 0.375000] 10639: [discriminator loss: 0.636104, acc: 0.656250] [adversarial loss: 1.363842, acc: 0.156250] 10640: [discriminator loss: 0.505148, acc: 0.695312] [adversarial loss: 0.917493, acc: 0.468750] 10641: [discriminator loss: 0.564260, acc: 0.718750] [adversarial loss: 1.185678, acc: 0.234375] 10642: [discriminator loss: 0.582771, acc: 0.679688] [adversarial loss: 1.122580, acc: 0.250000] 10643: [discriminator loss: 0.490956, acc: 0.773438] [adversarial loss: 0.976027, acc: 0.265625] 10644: [discriminator loss: 0.492125, acc: 0.773438] [adversarial loss: 1.127756, acc: 0.250000] 10645: [discriminator loss: 0.515545, acc: 0.773438] [adversarial loss: 1.088335, acc: 0.234375] 10646: [discriminator loss: 0.506187, acc: 0.757812] [adversarial loss: 1.274603, acc: 0.156250] 10647: [discriminator loss: 0.554388, acc: 0.710938] [adversarial loss: 1.039507, acc: 0.203125] 10648: [discriminator loss: 0.552991, acc: 0.750000] [adversarial loss: 1.026637, acc: 0.312500] 10649: [discriminator loss: 0.541643, acc: 0.703125] [adversarial loss: 1.062065, acc: 0.218750] 10650: [discriminator loss: 0.549534, acc: 0.742188] [adversarial loss: 1.039510, acc: 0.281250] 10651: [discriminator loss: 0.561819, acc: 0.671875] [adversarial loss: 1.056849, acc: 0.359375] 10652: [discriminator loss: 0.560867, acc: 0.695312] [adversarial loss: 1.065944, acc: 0.312500] 10653: [discriminator loss: 0.543513, acc: 0.726562] [adversarial loss: 1.699173, acc: 0.140625] 10654: [discriminator loss: 0.627013, acc: 0.656250] [adversarial loss: 0.710123, acc: 0.500000] 10655: [discriminator loss: 0.588998, acc: 0.656250] [adversarial loss: 1.630979, acc: 0.078125] 10656: [discriminator loss: 0.663039, acc: 0.687500] [adversarial loss: 0.999856, acc: 0.281250] 10657: [discriminator loss: 0.613314, acc: 0.656250] [adversarial loss: 1.448635, acc: 0.078125] 10658: [discriminator loss: 0.479888, acc: 0.757812] [adversarial loss: 1.052935, acc: 0.234375] 10659: [discriminator loss: 0.496408, acc: 0.781250] [adversarial loss: 0.999180, acc: 0.343750] 10660: [discriminator loss: 0.557121, acc: 0.726562] [adversarial loss: 1.099684, acc: 0.281250] 10661: [discriminator loss: 0.608922, acc: 0.710938] [adversarial loss: 1.116761, acc: 0.281250] 10662: [discriminator loss: 0.646763, acc: 0.671875] [adversarial loss: 1.359326, acc: 0.171875] 10663: [discriminator loss: 0.534077, acc: 0.742188] [adversarial loss: 1.059418, acc: 0.265625] 10664: [discriminator loss: 0.599815, acc: 0.664062] [adversarial loss: 1.326186, acc: 0.203125] 10665: [discriminator loss: 0.624810, acc: 0.687500] [adversarial loss: 0.937408, acc: 0.390625] 10666: [discriminator loss: 0.559004, acc: 0.687500] [adversarial loss: 1.170928, acc: 0.265625] 10667: [discriminator loss: 0.535410, acc: 0.750000] [adversarial loss: 1.064151, acc: 0.250000] 10668: [discriminator loss: 0.531026, acc: 0.695312] [adversarial loss: 1.285682, acc: 0.171875] 10669: [discriminator loss: 0.553996, acc: 0.671875] [adversarial loss: 1.245757, acc: 0.203125] 10670: [discriminator loss: 0.545242, acc: 0.742188] [adversarial loss: 0.995402, acc: 0.312500] 10671: [discriminator loss: 0.584068, acc: 0.742188] [adversarial loss: 1.693206, acc: 0.093750] 10672: [discriminator loss: 0.569615, acc: 0.679688] [adversarial loss: 0.799686, acc: 0.421875] 10673: [discriminator loss: 0.488733, acc: 0.765625] [adversarial loss: 1.234676, acc: 0.265625] 10674: [discriminator loss: 0.572673, acc: 0.718750] [adversarial loss: 1.025445, acc: 0.312500] 10675: [discriminator loss: 0.524915, acc: 0.765625] [adversarial loss: 1.089152, acc: 0.265625] 10676: [discriminator loss: 0.547533, acc: 0.703125] [adversarial loss: 1.084679, acc: 0.187500] 10677: [discriminator loss: 0.563014, acc: 0.703125] [adversarial loss: 1.343721, acc: 0.171875] 10678: [discriminator loss: 0.556859, acc: 0.695312] [adversarial loss: 1.256132, acc: 0.171875] 10679: [discriminator loss: 0.504182, acc: 0.765625] [adversarial loss: 1.137025, acc: 0.203125] 10680: [discriminator loss: 0.491806, acc: 0.757812] [adversarial loss: 1.035129, acc: 0.312500] 10681: [discriminator loss: 0.495356, acc: 0.812500] [adversarial loss: 1.110077, acc: 0.296875] 10682: [discriminator loss: 0.583668, acc: 0.703125] [adversarial loss: 1.230968, acc: 0.171875] 10683: [discriminator loss: 0.626962, acc: 0.656250] [adversarial loss: 0.980956, acc: 0.359375] 10684: [discriminator loss: 0.586439, acc: 0.656250] [adversarial loss: 1.428065, acc: 0.156250] 10685: [discriminator loss: 0.565527, acc: 0.679688] [adversarial loss: 0.847798, acc: 0.375000] 10686: [discriminator loss: 0.609042, acc: 0.695312] [adversarial loss: 1.263863, acc: 0.109375] 10687: [discriminator loss: 0.597230, acc: 0.687500] [adversarial loss: 1.092136, acc: 0.250000] 10688: [discriminator loss: 0.587876, acc: 0.695312] [adversarial loss: 1.145678, acc: 0.187500] 10689: [discriminator loss: 0.568472, acc: 0.695312] [adversarial loss: 0.990084, acc: 0.328125] 10690: [discriminator loss: 0.615342, acc: 0.632812] [adversarial loss: 1.302247, acc: 0.156250] 10691: [discriminator loss: 0.515676, acc: 0.710938] [adversarial loss: 0.983805, acc: 0.328125] 10692: [discriminator loss: 0.516639, acc: 0.773438] [adversarial loss: 1.311355, acc: 0.171875] 10693: [discriminator loss: 0.559812, acc: 0.726562] [adversarial loss: 1.093788, acc: 0.343750] 10694: [discriminator loss: 0.528772, acc: 0.726562] [adversarial loss: 1.313496, acc: 0.156250] 10695: [discriminator loss: 0.592512, acc: 0.687500] [adversarial loss: 1.215779, acc: 0.218750] 10696: [discriminator loss: 0.581447, acc: 0.710938] [adversarial loss: 1.324230, acc: 0.187500] 10697: [discriminator loss: 0.554906, acc: 0.726562] [adversarial loss: 0.880769, acc: 0.375000] 10698: [discriminator loss: 0.503096, acc: 0.781250] [adversarial loss: 1.356814, acc: 0.187500] 10699: [discriminator loss: 0.520527, acc: 0.781250] [adversarial loss: 0.893267, acc: 0.453125] 10700: [discriminator loss: 0.585574, acc: 0.679688] [adversarial loss: 1.107358, acc: 0.265625] 10701: [discriminator loss: 0.540333, acc: 0.710938] [adversarial loss: 0.888913, acc: 0.437500] 10702: [discriminator loss: 0.551269, acc: 0.695312] [adversarial loss: 1.509686, acc: 0.109375] 10703: [discriminator loss: 0.594604, acc: 0.687500] [adversarial loss: 0.965712, acc: 0.343750] 10704: [discriminator loss: 0.569419, acc: 0.671875] [adversarial loss: 1.805882, acc: 0.015625] 10705: [discriminator loss: 0.671756, acc: 0.617188] [adversarial loss: 0.749396, acc: 0.515625] 10706: [discriminator loss: 0.515334, acc: 0.750000] [adversarial loss: 1.032603, acc: 0.343750] 10707: [discriminator loss: 0.470719, acc: 0.726562] [adversarial loss: 1.050029, acc: 0.312500] 10708: [discriminator loss: 0.546440, acc: 0.742188] [adversarial loss: 1.327538, acc: 0.171875] 10709: [discriminator loss: 0.580175, acc: 0.703125] [adversarial loss: 0.964388, acc: 0.375000] 10710: [discriminator loss: 0.626519, acc: 0.632812] [adversarial loss: 1.654494, acc: 0.062500] 10711: [discriminator loss: 0.510194, acc: 0.718750] [adversarial loss: 0.893048, acc: 0.390625] 10712: [discriminator loss: 0.534893, acc: 0.718750] [adversarial loss: 1.573685, acc: 0.093750] 10713: [discriminator loss: 0.510572, acc: 0.734375] [adversarial loss: 1.002508, acc: 0.296875] 10714: [discriminator loss: 0.484719, acc: 0.781250] [adversarial loss: 1.288648, acc: 0.250000] 10715: [discriminator loss: 0.589334, acc: 0.679688] [adversarial loss: 1.062716, acc: 0.250000] 10716: [discriminator loss: 0.551935, acc: 0.710938] [adversarial loss: 1.225603, acc: 0.187500] 10717: [discriminator loss: 0.588221, acc: 0.679688] [adversarial loss: 1.175081, acc: 0.218750] 10718: [discriminator loss: 0.493259, acc: 0.765625] [adversarial loss: 1.357542, acc: 0.171875] 10719: [discriminator loss: 0.524111, acc: 0.742188] [adversarial loss: 1.135259, acc: 0.218750] 10720: [discriminator loss: 0.491194, acc: 0.773438] [adversarial loss: 1.062177, acc: 0.234375] 10721: [discriminator loss: 0.550017, acc: 0.734375] [adversarial loss: 1.157420, acc: 0.265625] 10722: [discriminator loss: 0.531200, acc: 0.773438] [adversarial loss: 1.216239, acc: 0.265625] 10723: [discriminator loss: 0.533289, acc: 0.726562] [adversarial loss: 1.125962, acc: 0.265625] 10724: [discriminator loss: 0.560002, acc: 0.679688] [adversarial loss: 1.502205, acc: 0.140625] 10725: [discriminator loss: 0.626639, acc: 0.632812] [adversarial loss: 0.919598, acc: 0.390625] 10726: [discriminator loss: 0.610070, acc: 0.617188] [adversarial loss: 1.415245, acc: 0.156250] 10727: [discriminator loss: 0.589462, acc: 0.679688] [adversarial loss: 0.876064, acc: 0.421875] 10728: [discriminator loss: 0.573142, acc: 0.640625] [adversarial loss: 1.535817, acc: 0.140625] 10729: [discriminator loss: 0.561007, acc: 0.695312] [adversarial loss: 0.940744, acc: 0.406250] 10730: [discriminator loss: 0.582965, acc: 0.679688] [adversarial loss: 1.424937, acc: 0.078125] 10731: [discriminator loss: 0.598742, acc: 0.656250] [adversarial loss: 0.921768, acc: 0.375000] 10732: [discriminator loss: 0.531789, acc: 0.710938] [adversarial loss: 1.325917, acc: 0.187500] 10733: [discriminator loss: 0.479158, acc: 0.765625] [adversarial loss: 0.918031, acc: 0.375000] 10734: [discriminator loss: 0.555773, acc: 0.679688] [adversarial loss: 0.968635, acc: 0.343750] 10735: [discriminator loss: 0.594190, acc: 0.710938] [adversarial loss: 1.048858, acc: 0.359375] 10736: [discriminator loss: 0.538128, acc: 0.726562] [adversarial loss: 1.334989, acc: 0.203125] 10737: [discriminator loss: 0.509275, acc: 0.742188] [adversarial loss: 0.876277, acc: 0.500000] 10738: [discriminator loss: 0.519447, acc: 0.734375] [adversarial loss: 1.183212, acc: 0.250000] 10739: [discriminator loss: 0.531255, acc: 0.679688] [adversarial loss: 1.234369, acc: 0.234375] 10740: [discriminator loss: 0.567003, acc: 0.625000] [adversarial loss: 1.107364, acc: 0.312500] 10741: [discriminator loss: 0.528852, acc: 0.726562] [adversarial loss: 1.165534, acc: 0.234375] 10742: [discriminator loss: 0.613841, acc: 0.632812] [adversarial loss: 1.241144, acc: 0.234375] 10743: [discriminator loss: 0.466901, acc: 0.781250] [adversarial loss: 1.010050, acc: 0.375000] 10744: [discriminator loss: 0.563080, acc: 0.750000] [adversarial loss: 1.354560, acc: 0.156250] 10745: [discriminator loss: 0.609590, acc: 0.664062] [adversarial loss: 0.654473, acc: 0.625000] 10746: [discriminator loss: 0.517904, acc: 0.742188] [adversarial loss: 1.460143, acc: 0.140625] 10747: [discriminator loss: 0.518515, acc: 0.765625] [adversarial loss: 0.974162, acc: 0.375000] 10748: [discriminator loss: 0.613200, acc: 0.664062] [adversarial loss: 1.405343, acc: 0.125000] 10749: [discriminator loss: 0.611442, acc: 0.695312] [adversarial loss: 0.998130, acc: 0.296875] 10750: [discriminator loss: 0.515932, acc: 0.734375] [adversarial loss: 1.602749, acc: 0.109375] 10751: [discriminator loss: 0.669519, acc: 0.601562] [adversarial loss: 0.791383, acc: 0.468750] 10752: [discriminator loss: 0.575491, acc: 0.718750] [adversarial loss: 1.381623, acc: 0.156250] 10753: [discriminator loss: 0.572125, acc: 0.671875] [adversarial loss: 0.997275, acc: 0.421875] 10754: [discriminator loss: 0.545529, acc: 0.687500] [adversarial loss: 1.374448, acc: 0.171875] 10755: [discriminator loss: 0.527698, acc: 0.750000] [adversarial loss: 1.046563, acc: 0.250000] 10756: [discriminator loss: 0.571047, acc: 0.718750] [adversarial loss: 1.035843, acc: 0.234375] 10757: [discriminator loss: 0.560981, acc: 0.664062] [adversarial loss: 1.100309, acc: 0.312500] 10758: [discriminator loss: 0.555920, acc: 0.671875] [adversarial loss: 1.168897, acc: 0.250000] 10759: [discriminator loss: 0.525427, acc: 0.734375] [adversarial loss: 0.808306, acc: 0.500000] 10760: [discriminator loss: 0.613164, acc: 0.648438] [adversarial loss: 1.383720, acc: 0.140625] 10761: [discriminator loss: 0.572402, acc: 0.687500] [adversarial loss: 0.814251, acc: 0.468750] 10762: [discriminator loss: 0.569053, acc: 0.734375] [adversarial loss: 1.666232, acc: 0.046875] 10763: [discriminator loss: 0.572918, acc: 0.695312] [adversarial loss: 1.022624, acc: 0.296875] 10764: [discriminator loss: 0.571891, acc: 0.710938] [adversarial loss: 1.312528, acc: 0.125000] 10765: [discriminator loss: 0.561730, acc: 0.726562] [adversarial loss: 1.086621, acc: 0.265625] 10766: [discriminator loss: 0.569790, acc: 0.664062] [adversarial loss: 1.275182, acc: 0.140625] 10767: [discriminator loss: 0.561721, acc: 0.687500] [adversarial loss: 1.007793, acc: 0.312500] 10768: [discriminator loss: 0.592221, acc: 0.687500] [adversarial loss: 1.072892, acc: 0.296875] 10769: [discriminator loss: 0.521409, acc: 0.773438] [adversarial loss: 1.204877, acc: 0.203125] 10770: [discriminator loss: 0.576079, acc: 0.710938] [adversarial loss: 0.996692, acc: 0.250000] 10771: [discriminator loss: 0.506549, acc: 0.734375] [adversarial loss: 1.050127, acc: 0.343750] 10772: [discriminator loss: 0.546513, acc: 0.718750] [adversarial loss: 1.277599, acc: 0.203125] 10773: [discriminator loss: 0.556827, acc: 0.695312] [adversarial loss: 1.038984, acc: 0.359375] 10774: [discriminator loss: 0.491290, acc: 0.820312] [adversarial loss: 1.239786, acc: 0.281250] 10775: [discriminator loss: 0.516905, acc: 0.734375] [adversarial loss: 1.167705, acc: 0.296875] 10776: [discriminator loss: 0.588246, acc: 0.703125] [adversarial loss: 1.167006, acc: 0.250000] 10777: [discriminator loss: 0.550581, acc: 0.671875] [adversarial loss: 1.435845, acc: 0.093750] 10778: [discriminator loss: 0.498456, acc: 0.750000] [adversarial loss: 1.212852, acc: 0.125000] 10779: [discriminator loss: 0.543758, acc: 0.765625] [adversarial loss: 0.903664, acc: 0.296875] 10780: [discriminator loss: 0.566520, acc: 0.734375] [adversarial loss: 1.358529, acc: 0.187500] 10781: [discriminator loss: 0.574575, acc: 0.695312] [adversarial loss: 0.847251, acc: 0.500000] 10782: [discriminator loss: 0.564370, acc: 0.710938] [adversarial loss: 1.574679, acc: 0.062500] 10783: [discriminator loss: 0.606743, acc: 0.640625] [adversarial loss: 0.950553, acc: 0.328125] 10784: [discriminator loss: 0.511005, acc: 0.742188] [adversarial loss: 1.288543, acc: 0.171875] 10785: [discriminator loss: 0.565465, acc: 0.726562] [adversarial loss: 1.081739, acc: 0.265625] 10786: [discriminator loss: 0.514525, acc: 0.757812] [adversarial loss: 1.185361, acc: 0.218750] 10787: [discriminator loss: 0.505312, acc: 0.734375] [adversarial loss: 1.269007, acc: 0.171875] 10788: [discriminator loss: 0.535004, acc: 0.765625] [adversarial loss: 0.979138, acc: 0.359375] 10789: [discriminator loss: 0.607278, acc: 0.679688] [adversarial loss: 1.720476, acc: 0.093750] 10790: [discriminator loss: 0.613766, acc: 0.656250] [adversarial loss: 0.663198, acc: 0.578125] 10791: [discriminator loss: 0.631881, acc: 0.679688] [adversarial loss: 1.625390, acc: 0.093750] 10792: [discriminator loss: 0.580823, acc: 0.664062] [adversarial loss: 0.971622, acc: 0.375000] 10793: [discriminator loss: 0.573386, acc: 0.726562] [adversarial loss: 1.383191, acc: 0.125000] 10794: [discriminator loss: 0.557885, acc: 0.718750] [adversarial loss: 0.887622, acc: 0.390625] 10795: [discriminator loss: 0.597974, acc: 0.695312] [adversarial loss: 1.533331, acc: 0.156250] 10796: [discriminator loss: 0.621593, acc: 0.648438] [adversarial loss: 0.810633, acc: 0.515625] 10797: [discriminator loss: 0.601106, acc: 0.687500] [adversarial loss: 1.518932, acc: 0.125000] 10798: [discriminator loss: 0.558412, acc: 0.679688] [adversarial loss: 0.825133, acc: 0.421875] 10799: [discriminator loss: 0.566201, acc: 0.703125] [adversarial loss: 1.188761, acc: 0.171875] 10800: [discriminator loss: 0.552762, acc: 0.734375] [adversarial loss: 1.012073, acc: 0.375000] 10801: [discriminator loss: 0.521290, acc: 0.718750] [adversarial loss: 0.990114, acc: 0.312500] 10802: [discriminator loss: 0.489209, acc: 0.812500] [adversarial loss: 1.010532, acc: 0.375000] 10803: [discriminator loss: 0.515247, acc: 0.710938] [adversarial loss: 1.287328, acc: 0.156250] 10804: [discriminator loss: 0.527917, acc: 0.757812] [adversarial loss: 1.274427, acc: 0.218750] 10805: [discriminator loss: 0.526862, acc: 0.726562] [adversarial loss: 1.156720, acc: 0.234375] 10806: [discriminator loss: 0.504884, acc: 0.812500] [adversarial loss: 1.330696, acc: 0.140625] 10807: [discriminator loss: 0.534518, acc: 0.765625] [adversarial loss: 1.108450, acc: 0.234375] 10808: [discriminator loss: 0.589243, acc: 0.710938] [adversarial loss: 0.849914, acc: 0.500000] 10809: [discriminator loss: 0.572397, acc: 0.789062] [adversarial loss: 1.408375, acc: 0.031250] 10810: [discriminator loss: 0.623674, acc: 0.625000] [adversarial loss: 0.678714, acc: 0.593750] 10811: [discriminator loss: 0.671678, acc: 0.625000] [adversarial loss: 1.401991, acc: 0.140625] 10812: [discriminator loss: 0.487656, acc: 0.773438] [adversarial loss: 0.784619, acc: 0.406250] 10813: [discriminator loss: 0.478696, acc: 0.781250] [adversarial loss: 1.069908, acc: 0.328125] 10814: [discriminator loss: 0.561485, acc: 0.734375] [adversarial loss: 1.110560, acc: 0.312500] 10815: [discriminator loss: 0.508935, acc: 0.757812] [adversarial loss: 1.230747, acc: 0.250000] 10816: [discriminator loss: 0.643302, acc: 0.703125] [adversarial loss: 1.130644, acc: 0.281250] 10817: [discriminator loss: 0.566585, acc: 0.687500] [adversarial loss: 1.337846, acc: 0.187500] 10818: [discriminator loss: 0.476765, acc: 0.773438] [adversarial loss: 0.975951, acc: 0.343750] 10819: [discriminator loss: 0.489700, acc: 0.765625] [adversarial loss: 1.327842, acc: 0.125000] 10820: [discriminator loss: 0.452080, acc: 0.812500] [adversarial loss: 1.143024, acc: 0.281250] 10821: [discriminator loss: 0.554306, acc: 0.726562] [adversarial loss: 1.230782, acc: 0.234375] 10822: [discriminator loss: 0.492449, acc: 0.757812] [adversarial loss: 1.284109, acc: 0.156250] 10823: [discriminator loss: 0.541448, acc: 0.703125] [adversarial loss: 1.245277, acc: 0.218750] 10824: [discriminator loss: 0.517108, acc: 0.710938] [adversarial loss: 1.211846, acc: 0.187500] 10825: [discriminator loss: 0.526170, acc: 0.742188] [adversarial loss: 0.978724, acc: 0.312500] 10826: [discriminator loss: 0.582340, acc: 0.703125] [adversarial loss: 1.141532, acc: 0.250000] 10827: [discriminator loss: 0.547563, acc: 0.703125] [adversarial loss: 1.249380, acc: 0.250000] 10828: [discriminator loss: 0.508479, acc: 0.726562] [adversarial loss: 1.112724, acc: 0.328125] 10829: [discriminator loss: 0.518475, acc: 0.726562] [adversarial loss: 1.387088, acc: 0.203125] 10830: [discriminator loss: 0.458224, acc: 0.773438] [adversarial loss: 0.983480, acc: 0.343750] 10831: [discriminator loss: 0.485696, acc: 0.789062] [adversarial loss: 1.262951, acc: 0.265625] 10832: [discriminator loss: 0.592795, acc: 0.687500] [adversarial loss: 1.038569, acc: 0.375000] 10833: [discriminator loss: 0.567984, acc: 0.726562] [adversarial loss: 1.188430, acc: 0.312500] 10834: [discriminator loss: 0.498764, acc: 0.812500] [adversarial loss: 1.595141, acc: 0.140625] 10835: [discriminator loss: 0.550922, acc: 0.734375] [adversarial loss: 0.661533, acc: 0.625000] 10836: [discriminator loss: 0.539081, acc: 0.757812] [adversarial loss: 2.007722, acc: 0.046875] 10837: [discriminator loss: 0.625180, acc: 0.625000] [adversarial loss: 0.829229, acc: 0.484375] 10838: [discriminator loss: 0.592966, acc: 0.671875] [adversarial loss: 1.343400, acc: 0.203125] 10839: [discriminator loss: 0.535423, acc: 0.726562] [adversarial loss: 0.992997, acc: 0.375000] 10840: [discriminator loss: 0.554134, acc: 0.718750] [adversarial loss: 1.399903, acc: 0.203125] 10841: [discriminator loss: 0.480382, acc: 0.757812] [adversarial loss: 0.751750, acc: 0.500000] 10842: [discriminator loss: 0.578658, acc: 0.710938] [adversarial loss: 1.344880, acc: 0.156250] 10843: [discriminator loss: 0.563811, acc: 0.695312] [adversarial loss: 1.273413, acc: 0.203125] 10844: [discriminator loss: 0.523322, acc: 0.757812] [adversarial loss: 1.118090, acc: 0.312500] 10845: [discriminator loss: 0.522514, acc: 0.750000] [adversarial loss: 1.194376, acc: 0.218750] 10846: [discriminator loss: 0.599176, acc: 0.656250] [adversarial loss: 1.350912, acc: 0.187500] 10847: [discriminator loss: 0.511702, acc: 0.734375] [adversarial loss: 1.224107, acc: 0.218750] 10848: [discriminator loss: 0.510948, acc: 0.742188] [adversarial loss: 0.886652, acc: 0.421875] 10849: [discriminator loss: 0.510359, acc: 0.750000] [adversarial loss: 1.175360, acc: 0.281250] 10850: [discriminator loss: 0.597920, acc: 0.695312] [adversarial loss: 1.446847, acc: 0.171875] 10851: [discriminator loss: 0.499059, acc: 0.773438] [adversarial loss: 1.062684, acc: 0.390625] 10852: [discriminator loss: 0.545865, acc: 0.718750] [adversarial loss: 1.609097, acc: 0.093750] 10853: [discriminator loss: 0.597009, acc: 0.726562] [adversarial loss: 1.014270, acc: 0.281250] 10854: [discriminator loss: 0.530684, acc: 0.726562] [adversarial loss: 1.078584, acc: 0.312500] 10855: [discriminator loss: 0.588015, acc: 0.679688] [adversarial loss: 1.104406, acc: 0.296875] 10856: [discriminator loss: 0.518635, acc: 0.679688] [adversarial loss: 1.229742, acc: 0.203125] 10857: [discriminator loss: 0.560097, acc: 0.734375] [adversarial loss: 1.177671, acc: 0.312500] 10858: [discriminator loss: 0.509531, acc: 0.750000] [adversarial loss: 1.366759, acc: 0.218750] 10859: [discriminator loss: 0.579868, acc: 0.703125] [adversarial loss: 1.172598, acc: 0.250000] 10860: [discriminator loss: 0.609998, acc: 0.679688] [adversarial loss: 0.966427, acc: 0.281250] 10861: [discriminator loss: 0.624161, acc: 0.640625] [adversarial loss: 1.363208, acc: 0.171875] 10862: [discriminator loss: 0.600793, acc: 0.648438] [adversarial loss: 1.054448, acc: 0.296875] 10863: [discriminator loss: 0.498572, acc: 0.765625] [adversarial loss: 1.486974, acc: 0.156250] 10864: [discriminator loss: 0.579349, acc: 0.687500] [adversarial loss: 0.734113, acc: 0.578125] 10865: [discriminator loss: 0.584024, acc: 0.695312] [adversarial loss: 1.832161, acc: 0.046875] 10866: [discriminator loss: 0.614555, acc: 0.679688] [adversarial loss: 0.858404, acc: 0.437500] 10867: [discriminator loss: 0.579099, acc: 0.703125] [adversarial loss: 1.251536, acc: 0.203125] 10868: [discriminator loss: 0.539240, acc: 0.710938] [adversarial loss: 1.030530, acc: 0.359375] 10869: [discriminator loss: 0.504201, acc: 0.734375] [adversarial loss: 1.196881, acc: 0.250000] 10870: [discriminator loss: 0.519853, acc: 0.734375] [adversarial loss: 1.033957, acc: 0.234375] 10871: [discriminator loss: 0.570768, acc: 0.695312] [adversarial loss: 1.164060, acc: 0.265625] 10872: [discriminator loss: 0.524285, acc: 0.757812] [adversarial loss: 1.231454, acc: 0.281250] 10873: [discriminator loss: 0.579125, acc: 0.695312] [adversarial loss: 1.213666, acc: 0.203125] 10874: [discriminator loss: 0.541580, acc: 0.718750] [adversarial loss: 1.168512, acc: 0.265625] 10875: [discriminator loss: 0.471942, acc: 0.781250] [adversarial loss: 1.201305, acc: 0.234375] 10876: [discriminator loss: 0.529752, acc: 0.757812] [adversarial loss: 1.448493, acc: 0.171875] 10877: [discriminator loss: 0.556389, acc: 0.710938] [adversarial loss: 1.201091, acc: 0.296875] 10878: [discriminator loss: 0.550123, acc: 0.695312] [adversarial loss: 0.874088, acc: 0.468750] 10879: [discriminator loss: 0.571809, acc: 0.703125] [adversarial loss: 1.621878, acc: 0.078125] 10880: [discriminator loss: 0.593992, acc: 0.632812] [adversarial loss: 0.793709, acc: 0.468750] 10881: [discriminator loss: 0.622062, acc: 0.640625] [adversarial loss: 1.454908, acc: 0.156250] 10882: [discriminator loss: 0.568180, acc: 0.687500] [adversarial loss: 0.960333, acc: 0.328125] 10883: [discriminator loss: 0.526347, acc: 0.750000] [adversarial loss: 1.066432, acc: 0.343750] 10884: [discriminator loss: 0.484476, acc: 0.789062] [adversarial loss: 1.242799, acc: 0.156250] 10885: [discriminator loss: 0.502378, acc: 0.726562] [adversarial loss: 1.289876, acc: 0.171875] 10886: [discriminator loss: 0.553747, acc: 0.742188] [adversarial loss: 0.899292, acc: 0.421875] 10887: [discriminator loss: 0.581041, acc: 0.695312] [adversarial loss: 1.398268, acc: 0.218750] 10888: [discriminator loss: 0.619696, acc: 0.718750] [adversarial loss: 0.922895, acc: 0.484375] 10889: [discriminator loss: 0.566827, acc: 0.734375] [adversarial loss: 1.512433, acc: 0.062500] 10890: [discriminator loss: 0.586985, acc: 0.710938] [adversarial loss: 0.836660, acc: 0.453125] 10891: [discriminator loss: 0.596127, acc: 0.703125] [adversarial loss: 1.363332, acc: 0.156250] 10892: [discriminator loss: 0.571062, acc: 0.695312] [adversarial loss: 1.007487, acc: 0.343750] 10893: [discriminator loss: 0.510902, acc: 0.765625] [adversarial loss: 1.327177, acc: 0.156250] 10894: [discriminator loss: 0.560795, acc: 0.703125] [adversarial loss: 1.016034, acc: 0.375000] 10895: [discriminator loss: 0.505885, acc: 0.726562] [adversarial loss: 1.358530, acc: 0.234375] 10896: [discriminator loss: 0.560992, acc: 0.695312] [adversarial loss: 1.100466, acc: 0.296875] 10897: [discriminator loss: 0.526177, acc: 0.742188] [adversarial loss: 1.322324, acc: 0.187500] 10898: [discriminator loss: 0.593149, acc: 0.679688] [adversarial loss: 0.673035, acc: 0.562500] 10899: [discriminator loss: 0.575767, acc: 0.695312] [adversarial loss: 1.560759, acc: 0.109375] 10900: [discriminator loss: 0.538565, acc: 0.710938] [adversarial loss: 0.914262, acc: 0.406250] 10901: [discriminator loss: 0.556523, acc: 0.710938] [adversarial loss: 1.259001, acc: 0.265625] 10902: [discriminator loss: 0.553212, acc: 0.703125] [adversarial loss: 1.053155, acc: 0.359375] 10903: [discriminator loss: 0.547509, acc: 0.726562] [adversarial loss: 1.091763, acc: 0.312500] 10904: [discriminator loss: 0.597897, acc: 0.695312] [adversarial loss: 1.473184, acc: 0.187500] 10905: [discriminator loss: 0.552074, acc: 0.687500] [adversarial loss: 1.021721, acc: 0.328125] 10906: [discriminator loss: 0.587893, acc: 0.695312] [adversarial loss: 1.285295, acc: 0.140625] 10907: [discriminator loss: 0.626583, acc: 0.695312] [adversarial loss: 0.794060, acc: 0.484375] 10908: [discriminator loss: 0.607380, acc: 0.632812] [adversarial loss: 1.150505, acc: 0.218750] 10909: [discriminator loss: 0.562376, acc: 0.679688] [adversarial loss: 0.891341, acc: 0.500000] 10910: [discriminator loss: 0.502768, acc: 0.781250] [adversarial loss: 1.347241, acc: 0.171875] 10911: [discriminator loss: 0.535558, acc: 0.742188] [adversarial loss: 1.018062, acc: 0.265625] 10912: [discriminator loss: 0.517925, acc: 0.726562] [adversarial loss: 1.232136, acc: 0.187500] 10913: [discriminator loss: 0.488145, acc: 0.789062] [adversarial loss: 1.059928, acc: 0.328125] 10914: [discriminator loss: 0.536273, acc: 0.734375] [adversarial loss: 0.995226, acc: 0.312500] 10915: [discriminator loss: 0.561107, acc: 0.664062] [adversarial loss: 1.294069, acc: 0.140625] 10916: [discriminator loss: 0.599753, acc: 0.656250] [adversarial loss: 1.010166, acc: 0.312500] 10917: [discriminator loss: 0.567755, acc: 0.710938] [adversarial loss: 1.318715, acc: 0.156250] 10918: [discriminator loss: 0.558894, acc: 0.695312] [adversarial loss: 0.745685, acc: 0.468750] 10919: [discriminator loss: 0.591522, acc: 0.734375] [adversarial loss: 1.233125, acc: 0.140625] 10920: [discriminator loss: 0.495346, acc: 0.742188] [adversarial loss: 0.986218, acc: 0.343750] 10921: [discriminator loss: 0.481418, acc: 0.765625] [adversarial loss: 1.311574, acc: 0.218750] 10922: [discriminator loss: 0.503308, acc: 0.765625] [adversarial loss: 0.894948, acc: 0.421875] 10923: [discriminator loss: 0.573527, acc: 0.703125] [adversarial loss: 1.474387, acc: 0.125000] 10924: [discriminator loss: 0.578713, acc: 0.648438] [adversarial loss: 0.719812, acc: 0.593750] 10925: [discriminator loss: 0.599943, acc: 0.726562] [adversarial loss: 1.459472, acc: 0.093750] 10926: [discriminator loss: 0.571009, acc: 0.703125] [adversarial loss: 1.070967, acc: 0.281250] 10927: [discriminator loss: 0.562157, acc: 0.703125] [adversarial loss: 0.957913, acc: 0.343750] 10928: [discriminator loss: 0.579188, acc: 0.656250] [adversarial loss: 1.243103, acc: 0.171875] 10929: [discriminator loss: 0.572454, acc: 0.687500] [adversarial loss: 1.092517, acc: 0.218750] 10930: [discriminator loss: 0.598627, acc: 0.703125] [adversarial loss: 1.159297, acc: 0.218750] 10931: [discriminator loss: 0.599696, acc: 0.679688] [adversarial loss: 1.050983, acc: 0.359375] 10932: [discriminator loss: 0.590723, acc: 0.609375] [adversarial loss: 1.293429, acc: 0.203125] 10933: [discriminator loss: 0.587664, acc: 0.679688] [adversarial loss: 0.770589, acc: 0.546875] 10934: [discriminator loss: 0.542564, acc: 0.679688] [adversarial loss: 1.541194, acc: 0.125000] 10935: [discriminator loss: 0.568106, acc: 0.679688] [adversarial loss: 0.656229, acc: 0.656250] 10936: [discriminator loss: 0.617496, acc: 0.625000] [adversarial loss: 1.489645, acc: 0.046875] 10937: [discriminator loss: 0.573936, acc: 0.703125] [adversarial loss: 0.868697, acc: 0.437500] 10938: [discriminator loss: 0.532493, acc: 0.671875] [adversarial loss: 1.401143, acc: 0.156250] 10939: [discriminator loss: 0.542583, acc: 0.703125] [adversarial loss: 1.075465, acc: 0.328125] 10940: [discriminator loss: 0.538663, acc: 0.726562] [adversarial loss: 1.284438, acc: 0.156250] 10941: [discriminator loss: 0.556807, acc: 0.687500] [adversarial loss: 1.146826, acc: 0.359375] 10942: [discriminator loss: 0.548179, acc: 0.718750] [adversarial loss: 1.316579, acc: 0.203125] 10943: [discriminator loss: 0.574562, acc: 0.640625] [adversarial loss: 1.143149, acc: 0.234375] 10944: [discriminator loss: 0.546808, acc: 0.757812] [adversarial loss: 1.169980, acc: 0.234375] 10945: [discriminator loss: 0.617782, acc: 0.648438] [adversarial loss: 1.159428, acc: 0.203125] 10946: [discriminator loss: 0.527767, acc: 0.718750] [adversarial loss: 1.153833, acc: 0.250000] 10947: [discriminator loss: 0.545038, acc: 0.703125] [adversarial loss: 0.841771, acc: 0.437500] 10948: [discriminator loss: 0.485210, acc: 0.773438] [adversarial loss: 1.673499, acc: 0.062500] 10949: [discriminator loss: 0.553227, acc: 0.718750] [adversarial loss: 0.821269, acc: 0.437500] 10950: [discriminator loss: 0.645239, acc: 0.726562] [adversarial loss: 1.422753, acc: 0.109375] 10951: [discriminator loss: 0.554607, acc: 0.710938] [adversarial loss: 0.863451, acc: 0.484375] 10952: [discriminator loss: 0.503648, acc: 0.742188] [adversarial loss: 0.992810, acc: 0.328125] 10953: [discriminator loss: 0.498134, acc: 0.742188] [adversarial loss: 1.302938, acc: 0.187500] 10954: [discriminator loss: 0.544729, acc: 0.703125] [adversarial loss: 1.393607, acc: 0.125000] 10955: [discriminator loss: 0.578419, acc: 0.679688] [adversarial loss: 0.905773, acc: 0.390625] 10956: [discriminator loss: 0.553831, acc: 0.703125] [adversarial loss: 1.397395, acc: 0.171875] 10957: [discriminator loss: 0.637135, acc: 0.671875] [adversarial loss: 1.049636, acc: 0.328125] 10958: [discriminator loss: 0.538150, acc: 0.687500] [adversarial loss: 1.217031, acc: 0.203125] 10959: [discriminator loss: 0.520479, acc: 0.781250] [adversarial loss: 1.147806, acc: 0.250000] 10960: [discriminator loss: 0.555274, acc: 0.710938] [adversarial loss: 1.279895, acc: 0.218750] 10961: [discriminator loss: 0.512229, acc: 0.750000] [adversarial loss: 0.996043, acc: 0.296875] 10962: [discriminator loss: 0.574766, acc: 0.695312] [adversarial loss: 1.268388, acc: 0.187500] 10963: [discriminator loss: 0.520110, acc: 0.726562] [adversarial loss: 0.916482, acc: 0.296875] 10964: [discriminator loss: 0.542577, acc: 0.679688] [adversarial loss: 1.709551, acc: 0.062500] 10965: [discriminator loss: 0.586951, acc: 0.679688] [adversarial loss: 0.905997, acc: 0.421875] 10966: [discriminator loss: 0.571585, acc: 0.671875] [adversarial loss: 1.607847, acc: 0.062500] 10967: [discriminator loss: 0.563078, acc: 0.710938] [adversarial loss: 0.771877, acc: 0.468750] 10968: [discriminator loss: 0.583739, acc: 0.687500] [adversarial loss: 1.224749, acc: 0.203125] 10969: [discriminator loss: 0.529168, acc: 0.734375] [adversarial loss: 0.992907, acc: 0.375000] 10970: [discriminator loss: 0.617713, acc: 0.710938] [adversarial loss: 1.233684, acc: 0.234375] 10971: [discriminator loss: 0.544381, acc: 0.664062] [adversarial loss: 1.006776, acc: 0.343750] 10972: [discriminator loss: 0.495116, acc: 0.757812] [adversarial loss: 1.374291, acc: 0.187500] 10973: [discriminator loss: 0.537026, acc: 0.695312] [adversarial loss: 1.129166, acc: 0.296875] 10974: [discriminator loss: 0.585413, acc: 0.671875] [adversarial loss: 1.171159, acc: 0.250000] 10975: [discriminator loss: 0.518855, acc: 0.710938] [adversarial loss: 1.272913, acc: 0.218750] 10976: [discriminator loss: 0.519811, acc: 0.757812] [adversarial loss: 1.129679, acc: 0.171875] 10977: [discriminator loss: 0.545686, acc: 0.703125] [adversarial loss: 1.372777, acc: 0.140625] 10978: [discriminator loss: 0.588883, acc: 0.671875] [adversarial loss: 1.042709, acc: 0.328125] 10979: [discriminator loss: 0.525460, acc: 0.750000] [adversarial loss: 1.387714, acc: 0.140625] 10980: [discriminator loss: 0.540268, acc: 0.734375] [adversarial loss: 1.248960, acc: 0.234375] 10981: [discriminator loss: 0.537226, acc: 0.695312] [adversarial loss: 1.035406, acc: 0.390625] 10982: [discriminator loss: 0.542784, acc: 0.718750] [adversarial loss: 1.636976, acc: 0.093750] 10983: [discriminator loss: 0.628094, acc: 0.664062] [adversarial loss: 1.032590, acc: 0.265625] 10984: [discriminator loss: 0.520741, acc: 0.695312] [adversarial loss: 1.366875, acc: 0.171875] 10985: [discriminator loss: 0.550675, acc: 0.742188] [adversarial loss: 0.868543, acc: 0.406250] 10986: [discriminator loss: 0.595771, acc: 0.742188] [adversarial loss: 1.520658, acc: 0.093750] 10987: [discriminator loss: 0.519288, acc: 0.726562] [adversarial loss: 0.746196, acc: 0.593750] 10988: [discriminator loss: 0.599083, acc: 0.648438] [adversarial loss: 1.527263, acc: 0.109375] 10989: [discriminator loss: 0.533231, acc: 0.742188] [adversarial loss: 0.953736, acc: 0.390625] 10990: [discriminator loss: 0.533387, acc: 0.718750] [adversarial loss: 1.627919, acc: 0.093750] 10991: [discriminator loss: 0.604497, acc: 0.640625] [adversarial loss: 0.968497, acc: 0.406250] 10992: [discriminator loss: 0.531458, acc: 0.734375] [adversarial loss: 1.469286, acc: 0.062500] 10993: [discriminator loss: 0.480862, acc: 0.726562] [adversarial loss: 0.903701, acc: 0.359375] 10994: [discriminator loss: 0.553589, acc: 0.710938] [adversarial loss: 0.868810, acc: 0.406250] 10995: [discriminator loss: 0.516568, acc: 0.742188] [adversarial loss: 1.141812, acc: 0.296875] 10996: [discriminator loss: 0.542739, acc: 0.718750] [adversarial loss: 1.273370, acc: 0.234375] 10997: [discriminator loss: 0.497442, acc: 0.757812] [adversarial loss: 1.124214, acc: 0.281250] 10998: [discriminator loss: 0.503902, acc: 0.757812] [adversarial loss: 1.183619, acc: 0.281250] 10999: [discriminator loss: 0.535817, acc: 0.710938] [adversarial loss: 1.117433, acc: 0.250000] 11000: [discriminator loss: 0.598411, acc: 0.695312] [adversarial loss: 1.115965, acc: 0.281250] 11001: [discriminator loss: 0.554418, acc: 0.710938] [adversarial loss: 1.185097, acc: 0.234375] 11002: [discriminator loss: 0.476057, acc: 0.820312] [adversarial loss: 0.889043, acc: 0.359375] 11003: [discriminator loss: 0.502942, acc: 0.742188] [adversarial loss: 1.425541, acc: 0.140625] 11004: [discriminator loss: 0.597113, acc: 0.671875] [adversarial loss: 0.916902, acc: 0.406250] 11005: [discriminator loss: 0.535067, acc: 0.757812] [adversarial loss: 1.426499, acc: 0.171875] 11006: [discriminator loss: 0.541497, acc: 0.734375] [adversarial loss: 0.820969, acc: 0.531250] 11007: [discriminator loss: 0.628951, acc: 0.664062] [adversarial loss: 1.690608, acc: 0.093750] 11008: [discriminator loss: 0.650731, acc: 0.664062] [adversarial loss: 0.911269, acc: 0.390625] 11009: [discriminator loss: 0.549349, acc: 0.734375] [adversarial loss: 1.494593, acc: 0.140625] 11010: [discriminator loss: 0.495118, acc: 0.781250] [adversarial loss: 0.887477, acc: 0.421875] 11011: [discriminator loss: 0.582249, acc: 0.734375] [adversarial loss: 1.231765, acc: 0.218750] 11012: [discriminator loss: 0.521021, acc: 0.726562] [adversarial loss: 0.932553, acc: 0.421875] 11013: [discriminator loss: 0.518749, acc: 0.703125] [adversarial loss: 1.495586, acc: 0.140625] 11014: [discriminator loss: 0.543221, acc: 0.734375] [adversarial loss: 0.835371, acc: 0.484375] 11015: [discriminator loss: 0.552522, acc: 0.710938] [adversarial loss: 1.475266, acc: 0.140625] 11016: [discriminator loss: 0.533278, acc: 0.679688] [adversarial loss: 1.077741, acc: 0.296875] 11017: [discriminator loss: 0.533864, acc: 0.765625] [adversarial loss: 1.164563, acc: 0.203125] 11018: [discriminator loss: 0.551063, acc: 0.734375] [adversarial loss: 1.152920, acc: 0.218750] 11019: [discriminator loss: 0.559384, acc: 0.695312] [adversarial loss: 1.101296, acc: 0.187500] 11020: [discriminator loss: 0.500773, acc: 0.773438] [adversarial loss: 1.116937, acc: 0.328125] 11021: [discriminator loss: 0.620957, acc: 0.656250] [adversarial loss: 0.937596, acc: 0.500000] 11022: [discriminator loss: 0.547613, acc: 0.734375] [adversarial loss: 1.277450, acc: 0.265625] 11023: [discriminator loss: 0.567690, acc: 0.726562] [adversarial loss: 0.959643, acc: 0.375000] 11024: [discriminator loss: 0.572825, acc: 0.695312] [adversarial loss: 1.477267, acc: 0.125000] 11025: [discriminator loss: 0.568391, acc: 0.664062] [adversarial loss: 0.796255, acc: 0.515625] 11026: [discriminator loss: 0.607426, acc: 0.648438] [adversarial loss: 1.503829, acc: 0.093750] 11027: [discriminator loss: 0.556752, acc: 0.687500] [adversarial loss: 1.020208, acc: 0.312500] 11028: [discriminator loss: 0.460186, acc: 0.781250] [adversarial loss: 1.230316, acc: 0.234375] 11029: [discriminator loss: 0.503106, acc: 0.695312] [adversarial loss: 1.251835, acc: 0.250000] 11030: [discriminator loss: 0.502120, acc: 0.773438] [adversarial loss: 1.295302, acc: 0.140625] 11031: [discriminator loss: 0.495852, acc: 0.757812] [adversarial loss: 0.995904, acc: 0.390625] 11032: [discriminator loss: 0.542385, acc: 0.695312] [adversarial loss: 1.566103, acc: 0.125000] 11033: [discriminator loss: 0.621650, acc: 0.695312] [adversarial loss: 0.908830, acc: 0.437500] 11034: [discriminator loss: 0.554284, acc: 0.726562] [adversarial loss: 1.422111, acc: 0.156250] 11035: [discriminator loss: 0.534914, acc: 0.718750] [adversarial loss: 1.069342, acc: 0.296875] 11036: [discriminator loss: 0.480494, acc: 0.789062] [adversarial loss: 1.055860, acc: 0.312500] 11037: [discriminator loss: 0.602154, acc: 0.656250] [adversarial loss: 1.266477, acc: 0.171875] 11038: [discriminator loss: 0.552722, acc: 0.679688] [adversarial loss: 1.042017, acc: 0.359375] 11039: [discriminator loss: 0.540401, acc: 0.750000] [adversarial loss: 1.273158, acc: 0.171875] 11040: [discriminator loss: 0.568454, acc: 0.671875] [adversarial loss: 1.100572, acc: 0.218750] 11041: [discriminator loss: 0.542502, acc: 0.710938] [adversarial loss: 1.225635, acc: 0.265625] 11042: [discriminator loss: 0.631242, acc: 0.664062] [adversarial loss: 1.386118, acc: 0.078125] 11043: [discriminator loss: 0.597877, acc: 0.679688] [adversarial loss: 1.005851, acc: 0.343750] 11044: [discriminator loss: 0.522307, acc: 0.773438] [adversarial loss: 1.498668, acc: 0.109375] 11045: [discriminator loss: 0.577731, acc: 0.679688] [adversarial loss: 0.650269, acc: 0.609375] 11046: [discriminator loss: 0.616523, acc: 0.710938] [adversarial loss: 1.503315, acc: 0.156250] 11047: [discriminator loss: 0.537807, acc: 0.703125] [adversarial loss: 0.895521, acc: 0.421875] 11048: [discriminator loss: 0.548152, acc: 0.710938] [adversarial loss: 1.332903, acc: 0.171875] 11049: [discriminator loss: 0.559529, acc: 0.648438] [adversarial loss: 1.031469, acc: 0.296875] 11050: [discriminator loss: 0.556863, acc: 0.695312] [adversarial loss: 1.191201, acc: 0.312500] 11051: [discriminator loss: 0.551792, acc: 0.703125] [adversarial loss: 1.491251, acc: 0.140625] 11052: [discriminator loss: 0.496331, acc: 0.773438] [adversarial loss: 0.936143, acc: 0.468750] 11053: [discriminator loss: 0.602301, acc: 0.726562] [adversarial loss: 1.766297, acc: 0.046875] 11054: [discriminator loss: 0.545601, acc: 0.726562] [adversarial loss: 0.857274, acc: 0.437500] 11055: [discriminator loss: 0.599701, acc: 0.671875] [adversarial loss: 1.550649, acc: 0.093750] 11056: [discriminator loss: 0.542775, acc: 0.718750] [adversarial loss: 1.040916, acc: 0.281250] 11057: [discriminator loss: 0.542364, acc: 0.703125] [adversarial loss: 1.164296, acc: 0.234375] 11058: [discriminator loss: 0.577710, acc: 0.679688] [adversarial loss: 0.896323, acc: 0.437500] 11059: [discriminator loss: 0.547871, acc: 0.734375] [adversarial loss: 1.448227, acc: 0.171875] 11060: [discriminator loss: 0.543475, acc: 0.679688] [adversarial loss: 1.033787, acc: 0.312500] 11061: [discriminator loss: 0.524407, acc: 0.734375] [adversarial loss: 1.082135, acc: 0.250000] 11062: [discriminator loss: 0.562444, acc: 0.695312] [adversarial loss: 1.308282, acc: 0.171875] 11063: [discriminator loss: 0.533904, acc: 0.757812] [adversarial loss: 1.129710, acc: 0.359375] 11064: [discriminator loss: 0.584346, acc: 0.718750] [adversarial loss: 1.272549, acc: 0.234375] 11065: [discriminator loss: 0.582702, acc: 0.718750] [adversarial loss: 1.084337, acc: 0.312500] 11066: [discriminator loss: 0.542102, acc: 0.710938] [adversarial loss: 1.196662, acc: 0.265625] 11067: [discriminator loss: 0.603970, acc: 0.695312] [adversarial loss: 0.909258, acc: 0.328125] 11068: [discriminator loss: 0.529303, acc: 0.718750] [adversarial loss: 1.373885, acc: 0.140625] 11069: [discriminator loss: 0.593489, acc: 0.648438] [adversarial loss: 0.678718, acc: 0.609375] 11070: [discriminator loss: 0.598501, acc: 0.671875] [adversarial loss: 1.723814, acc: 0.078125] 11071: [discriminator loss: 0.499919, acc: 0.765625] [adversarial loss: 0.974191, acc: 0.296875] 11072: [discriminator loss: 0.497295, acc: 0.742188] [adversarial loss: 1.363280, acc: 0.125000] 11073: [discriminator loss: 0.552106, acc: 0.703125] [adversarial loss: 1.089637, acc: 0.218750] 11074: [discriminator loss: 0.601312, acc: 0.718750] [adversarial loss: 1.216303, acc: 0.281250] 11075: [discriminator loss: 0.550939, acc: 0.726562] [adversarial loss: 1.142268, acc: 0.328125] 11076: [discriminator loss: 0.537383, acc: 0.679688] [adversarial loss: 1.397313, acc: 0.187500] 11077: [discriminator loss: 0.562527, acc: 0.679688] [adversarial loss: 1.145600, acc: 0.343750] 11078: [discriminator loss: 0.554317, acc: 0.718750] [adversarial loss: 0.985012, acc: 0.359375] 11079: [discriminator loss: 0.524727, acc: 0.718750] [adversarial loss: 1.099727, acc: 0.234375] 11080: [discriminator loss: 0.500995, acc: 0.750000] [adversarial loss: 0.823796, acc: 0.390625] 11081: [discriminator loss: 0.501920, acc: 0.734375] [adversarial loss: 1.450688, acc: 0.125000] 11082: [discriminator loss: 0.499385, acc: 0.734375] [adversarial loss: 0.956817, acc: 0.328125] 11083: [discriminator loss: 0.488025, acc: 0.757812] [adversarial loss: 1.423096, acc: 0.156250] 11084: [discriminator loss: 0.521006, acc: 0.734375] [adversarial loss: 1.006454, acc: 0.375000] 11085: [discriminator loss: 0.602561, acc: 0.656250] [adversarial loss: 1.176333, acc: 0.265625] 11086: [discriminator loss: 0.547935, acc: 0.695312] [adversarial loss: 1.087606, acc: 0.265625] 11087: [discriminator loss: 0.482151, acc: 0.796875] [adversarial loss: 1.113215, acc: 0.312500] 11088: [discriminator loss: 0.586628, acc: 0.687500] [adversarial loss: 1.718140, acc: 0.078125] 11089: [discriminator loss: 0.514760, acc: 0.750000] [adversarial loss: 0.864204, acc: 0.437500] 11090: [discriminator loss: 0.568671, acc: 0.687500] [adversarial loss: 1.896689, acc: 0.078125] 11091: [discriminator loss: 0.646345, acc: 0.703125] [adversarial loss: 0.860346, acc: 0.453125] 11092: [discriminator loss: 0.566145, acc: 0.687500] [adversarial loss: 1.335291, acc: 0.187500] 11093: [discriminator loss: 0.509482, acc: 0.734375] [adversarial loss: 0.848237, acc: 0.484375] 11094: [discriminator loss: 0.487912, acc: 0.734375] [adversarial loss: 1.013844, acc: 0.328125] 11095: [discriminator loss: 0.503419, acc: 0.726562] [adversarial loss: 1.041597, acc: 0.328125] 11096: [discriminator loss: 0.610788, acc: 0.664062] [adversarial loss: 1.269546, acc: 0.265625] 11097: [discriminator loss: 0.496708, acc: 0.757812] [adversarial loss: 0.850765, acc: 0.437500] 11098: [discriminator loss: 0.520017, acc: 0.750000] [adversarial loss: 1.205986, acc: 0.171875] 11099: [discriminator loss: 0.606475, acc: 0.609375] [adversarial loss: 1.009583, acc: 0.250000] 11100: [discriminator loss: 0.543852, acc: 0.734375] [adversarial loss: 1.465446, acc: 0.171875] 11101: [discriminator loss: 0.589200, acc: 0.679688] [adversarial loss: 1.013914, acc: 0.375000] 11102: [discriminator loss: 0.607838, acc: 0.664062] [adversarial loss: 1.337207, acc: 0.140625] 11103: [discriminator loss: 0.554744, acc: 0.726562] [adversarial loss: 0.937646, acc: 0.390625] 11104: [discriminator loss: 0.555168, acc: 0.687500] [adversarial loss: 1.222776, acc: 0.234375] 11105: [discriminator loss: 0.551781, acc: 0.742188] [adversarial loss: 0.874950, acc: 0.437500] 11106: [discriminator loss: 0.562463, acc: 0.718750] [adversarial loss: 1.583625, acc: 0.093750] 11107: [discriminator loss: 0.579467, acc: 0.679688] [adversarial loss: 0.807419, acc: 0.468750] 11108: [discriminator loss: 0.483692, acc: 0.757812] [adversarial loss: 1.574276, acc: 0.078125] 11109: [discriminator loss: 0.497464, acc: 0.695312] [adversarial loss: 0.872626, acc: 0.500000] 11110: [discriminator loss: 0.582890, acc: 0.664062] [adversarial loss: 1.400829, acc: 0.140625] 11111: [discriminator loss: 0.537973, acc: 0.718750] [adversarial loss: 0.832368, acc: 0.531250] 11112: [discriminator loss: 0.505590, acc: 0.757812] [adversarial loss: 1.728768, acc: 0.062500] 11113: [discriminator loss: 0.558947, acc: 0.710938] [adversarial loss: 1.096389, acc: 0.390625] 11114: [discriminator loss: 0.540297, acc: 0.710938] [adversarial loss: 1.150412, acc: 0.312500] 11115: [discriminator loss: 0.615592, acc: 0.632812] [adversarial loss: 1.154090, acc: 0.281250] 11116: [discriminator loss: 0.575850, acc: 0.671875] [adversarial loss: 1.258448, acc: 0.234375] 11117: [discriminator loss: 0.454262, acc: 0.804688] [adversarial loss: 0.869700, acc: 0.437500] 11118: [discriminator loss: 0.544595, acc: 0.734375] [adversarial loss: 1.542443, acc: 0.187500] 11119: [discriminator loss: 0.535660, acc: 0.757812] [adversarial loss: 1.019710, acc: 0.328125] 11120: [discriminator loss: 0.529704, acc: 0.726562] [adversarial loss: 0.975096, acc: 0.390625] 11121: [discriminator loss: 0.536572, acc: 0.750000] [adversarial loss: 1.305180, acc: 0.187500] 11122: [discriminator loss: 0.593180, acc: 0.687500] [adversarial loss: 0.998016, acc: 0.343750] 11123: [discriminator loss: 0.642040, acc: 0.648438] [adversarial loss: 1.350130, acc: 0.140625] 11124: [discriminator loss: 0.485251, acc: 0.757812] [adversarial loss: 1.095403, acc: 0.250000] 11125: [discriminator loss: 0.528623, acc: 0.773438] [adversarial loss: 1.397792, acc: 0.156250] 11126: [discriminator loss: 0.572897, acc: 0.679688] [adversarial loss: 0.903603, acc: 0.437500] 11127: [discriminator loss: 0.566483, acc: 0.710938] [adversarial loss: 1.379963, acc: 0.140625] 11128: [discriminator loss: 0.528930, acc: 0.718750] [adversarial loss: 1.095253, acc: 0.343750] 11129: [discriminator loss: 0.548499, acc: 0.750000] [adversarial loss: 1.517811, acc: 0.093750] 11130: [discriminator loss: 0.490100, acc: 0.765625] [adversarial loss: 1.029473, acc: 0.281250] 11131: [discriminator loss: 0.584915, acc: 0.664062] [adversarial loss: 1.011448, acc: 0.312500] 11132: [discriminator loss: 0.553775, acc: 0.679688] [adversarial loss: 1.416097, acc: 0.125000] 11133: [discriminator loss: 0.602836, acc: 0.671875] [adversarial loss: 0.989772, acc: 0.281250] 11134: [discriminator loss: 0.570937, acc: 0.687500] [adversarial loss: 1.258736, acc: 0.265625] 11135: [discriminator loss: 0.589987, acc: 0.671875] [adversarial loss: 1.056593, acc: 0.343750] 11136: [discriminator loss: 0.491968, acc: 0.765625] [adversarial loss: 1.259111, acc: 0.187500] 11137: [discriminator loss: 0.547043, acc: 0.679688] [adversarial loss: 0.742665, acc: 0.406250] 11138: [discriminator loss: 0.608832, acc: 0.671875] [adversarial loss: 1.367059, acc: 0.156250] 11139: [discriminator loss: 0.580562, acc: 0.664062] [adversarial loss: 0.949127, acc: 0.468750] 11140: [discriminator loss: 0.615198, acc: 0.625000] [adversarial loss: 1.322842, acc: 0.125000] 11141: [discriminator loss: 0.531344, acc: 0.734375] [adversarial loss: 1.031084, acc: 0.343750] 11142: [discriminator loss: 0.554347, acc: 0.757812] [adversarial loss: 1.034544, acc: 0.406250] 11143: [discriminator loss: 0.538506, acc: 0.726562] [adversarial loss: 1.317752, acc: 0.203125] 11144: [discriminator loss: 0.622552, acc: 0.679688] [adversarial loss: 1.092140, acc: 0.218750] 11145: [discriminator loss: 0.604431, acc: 0.671875] [adversarial loss: 1.316852, acc: 0.203125] 11146: [discriminator loss: 0.574538, acc: 0.632812] [adversarial loss: 0.826224, acc: 0.500000] 11147: [discriminator loss: 0.612132, acc: 0.617188] [adversarial loss: 1.689691, acc: 0.062500] 11148: [discriminator loss: 0.576937, acc: 0.695312] [adversarial loss: 0.967005, acc: 0.343750] 11149: [discriminator loss: 0.560699, acc: 0.710938] [adversarial loss: 1.176558, acc: 0.203125] 11150: [discriminator loss: 0.546258, acc: 0.742188] [adversarial loss: 1.164951, acc: 0.250000] 11151: [discriminator loss: 0.452564, acc: 0.828125] [adversarial loss: 1.263201, acc: 0.156250] 11152: [discriminator loss: 0.548522, acc: 0.726562] [adversarial loss: 1.277234, acc: 0.203125] 11153: [discriminator loss: 0.532531, acc: 0.710938] [adversarial loss: 0.919480, acc: 0.453125] 11154: [discriminator loss: 0.575640, acc: 0.703125] [adversarial loss: 1.281457, acc: 0.218750] 11155: [discriminator loss: 0.548790, acc: 0.734375] [adversarial loss: 1.243732, acc: 0.218750] 11156: [discriminator loss: 0.533371, acc: 0.687500] [adversarial loss: 1.309688, acc: 0.171875] 11157: [discriminator loss: 0.487113, acc: 0.734375] [adversarial loss: 1.200719, acc: 0.234375] 11158: [discriminator loss: 0.652997, acc: 0.648438] [adversarial loss: 1.546070, acc: 0.093750] 11159: [discriminator loss: 0.598362, acc: 0.625000] [adversarial loss: 0.983660, acc: 0.328125] 11160: [discriminator loss: 0.575627, acc: 0.718750] [adversarial loss: 1.383049, acc: 0.171875] 11161: [discriminator loss: 0.558185, acc: 0.703125] [adversarial loss: 0.829234, acc: 0.500000] 11162: [discriminator loss: 0.595464, acc: 0.703125] [adversarial loss: 1.244451, acc: 0.218750] 11163: [discriminator loss: 0.578892, acc: 0.687500] [adversarial loss: 1.139274, acc: 0.234375] 11164: [discriminator loss: 0.514686, acc: 0.750000] [adversarial loss: 1.357833, acc: 0.171875] 11165: [discriminator loss: 0.547045, acc: 0.757812] [adversarial loss: 1.091863, acc: 0.281250] 11166: [discriminator loss: 0.526430, acc: 0.757812] [adversarial loss: 1.444027, acc: 0.140625] 11167: [discriminator loss: 0.545827, acc: 0.742188] [adversarial loss: 0.994325, acc: 0.421875] 11168: [discriminator loss: 0.580365, acc: 0.710938] [adversarial loss: 1.315633, acc: 0.218750] 11169: [discriminator loss: 0.497515, acc: 0.781250] [adversarial loss: 1.352674, acc: 0.203125] 11170: [discriminator loss: 0.515217, acc: 0.710938] [adversarial loss: 0.956470, acc: 0.343750] 11171: [discriminator loss: 0.635546, acc: 0.640625] [adversarial loss: 1.238891, acc: 0.281250] 11172: [discriminator loss: 0.555793, acc: 0.726562] [adversarial loss: 1.185585, acc: 0.218750] 11173: [discriminator loss: 0.554125, acc: 0.750000] [adversarial loss: 1.221655, acc: 0.234375] 11174: [discriminator loss: 0.509997, acc: 0.773438] [adversarial loss: 0.937694, acc: 0.406250] 11175: [discriminator loss: 0.549452, acc: 0.703125] [adversarial loss: 1.659739, acc: 0.093750] 11176: [discriminator loss: 0.555057, acc: 0.687500] [adversarial loss: 0.686757, acc: 0.578125] 11177: [discriminator loss: 0.601777, acc: 0.679688] [adversarial loss: 1.546730, acc: 0.140625] 11178: [discriminator loss: 0.555838, acc: 0.703125] [adversarial loss: 0.813326, acc: 0.484375] 11179: [discriminator loss: 0.570803, acc: 0.703125] [adversarial loss: 1.562603, acc: 0.078125] 11180: [discriminator loss: 0.543851, acc: 0.734375] [adversarial loss: 0.924644, acc: 0.406250] 11181: [discriminator loss: 0.600003, acc: 0.679688] [adversarial loss: 1.413792, acc: 0.125000] 11182: [discriminator loss: 0.524802, acc: 0.687500] [adversarial loss: 0.784387, acc: 0.578125] 11183: [discriminator loss: 0.528897, acc: 0.703125] [adversarial loss: 1.282421, acc: 0.171875] 11184: [discriminator loss: 0.506765, acc: 0.773438] [adversarial loss: 1.159088, acc: 0.265625] 11185: [discriminator loss: 0.547502, acc: 0.726562] [adversarial loss: 1.512800, acc: 0.078125] 11186: [discriminator loss: 0.588618, acc: 0.671875] [adversarial loss: 1.221907, acc: 0.187500] 11187: [discriminator loss: 0.503004, acc: 0.789062] [adversarial loss: 1.314202, acc: 0.187500] 11188: [discriminator loss: 0.514422, acc: 0.742188] [adversarial loss: 1.020123, acc: 0.328125] 11189: [discriminator loss: 0.552946, acc: 0.750000] [adversarial loss: 1.144125, acc: 0.343750] 11190: [discriminator loss: 0.534498, acc: 0.750000] [adversarial loss: 1.081760, acc: 0.312500] 11191: [discriminator loss: 0.536954, acc: 0.765625] [adversarial loss: 1.442980, acc: 0.140625] 11192: [discriminator loss: 0.524143, acc: 0.765625] [adversarial loss: 0.989157, acc: 0.390625] 11193: [discriminator loss: 0.488874, acc: 0.796875] [adversarial loss: 1.152922, acc: 0.265625] 11194: [discriminator loss: 0.537298, acc: 0.726562] [adversarial loss: 1.017400, acc: 0.406250] 11195: [discriminator loss: 0.593570, acc: 0.640625] [adversarial loss: 1.651084, acc: 0.046875] 11196: [discriminator loss: 0.586061, acc: 0.710938] [adversarial loss: 0.824613, acc: 0.484375] 11197: [discriminator loss: 0.581465, acc: 0.703125] [adversarial loss: 1.618738, acc: 0.078125] 11198: [discriminator loss: 0.625092, acc: 0.671875] [adversarial loss: 0.807126, acc: 0.468750] 11199: [discriminator loss: 0.606689, acc: 0.664062] [adversarial loss: 1.609649, acc: 0.109375] 11200: [discriminator loss: 0.566927, acc: 0.664062] [adversarial loss: 0.969095, acc: 0.406250] 11201: [discriminator loss: 0.614809, acc: 0.656250] [adversarial loss: 1.043235, acc: 0.328125] 11202: [discriminator loss: 0.521098, acc: 0.742188] [adversarial loss: 1.019500, acc: 0.296875] 11203: [discriminator loss: 0.608653, acc: 0.687500] [adversarial loss: 1.473544, acc: 0.093750] 11204: [discriminator loss: 0.598397, acc: 0.687500] [adversarial loss: 0.816858, acc: 0.484375] 11205: [discriminator loss: 0.550731, acc: 0.703125] [adversarial loss: 1.273862, acc: 0.203125] 11206: [discriminator loss: 0.550744, acc: 0.695312] [adversarial loss: 1.094863, acc: 0.328125] 11207: [discriminator loss: 0.558503, acc: 0.710938] [adversarial loss: 1.302901, acc: 0.187500] 11208: [discriminator loss: 0.619108, acc: 0.648438] [adversarial loss: 1.049877, acc: 0.296875] 11209: [discriminator loss: 0.523732, acc: 0.742188] [adversarial loss: 1.246246, acc: 0.156250] 11210: [discriminator loss: 0.481452, acc: 0.781250] [adversarial loss: 0.959695, acc: 0.375000] 11211: [discriminator loss: 0.532253, acc: 0.695312] [adversarial loss: 1.382906, acc: 0.218750] 11212: [discriminator loss: 0.544676, acc: 0.703125] [adversarial loss: 1.092743, acc: 0.250000] 11213: [discriminator loss: 0.491203, acc: 0.750000] [adversarial loss: 1.276963, acc: 0.218750] 11214: [discriminator loss: 0.579407, acc: 0.664062] [adversarial loss: 1.222766, acc: 0.234375] 11215: [discriminator loss: 0.518441, acc: 0.757812] [adversarial loss: 0.936482, acc: 0.500000] 11216: [discriminator loss: 0.617472, acc: 0.679688] [adversarial loss: 1.206791, acc: 0.218750] 11217: [discriminator loss: 0.547539, acc: 0.710938] [adversarial loss: 0.973177, acc: 0.390625] 11218: [discriminator loss: 0.585285, acc: 0.656250] [adversarial loss: 1.505047, acc: 0.093750] 11219: [discriminator loss: 0.579002, acc: 0.679688] [adversarial loss: 0.958576, acc: 0.484375] 11220: [discriminator loss: 0.626289, acc: 0.664062] [adversarial loss: 1.608188, acc: 0.093750] 11221: [discriminator loss: 0.574519, acc: 0.671875] [adversarial loss: 0.866964, acc: 0.500000] 11222: [discriminator loss: 0.556737, acc: 0.734375] [adversarial loss: 1.504523, acc: 0.093750] 11223: [discriminator loss: 0.557164, acc: 0.703125] [adversarial loss: 0.761258, acc: 0.531250] 11224: [discriminator loss: 0.623136, acc: 0.671875] [adversarial loss: 1.784302, acc: 0.031250] 11225: [discriminator loss: 0.575893, acc: 0.664062] [adversarial loss: 0.892692, acc: 0.468750] 11226: [discriminator loss: 0.533837, acc: 0.695312] [adversarial loss: 1.428593, acc: 0.140625] 11227: [discriminator loss: 0.470681, acc: 0.750000] [adversarial loss: 1.261359, acc: 0.218750] 11228: [discriminator loss: 0.556989, acc: 0.718750] [adversarial loss: 1.126122, acc: 0.234375] 11229: [discriminator loss: 0.557978, acc: 0.710938] [adversarial loss: 1.311076, acc: 0.187500] 11230: [discriminator loss: 0.544377, acc: 0.734375] [adversarial loss: 1.265193, acc: 0.281250] 11231: [discriminator loss: 0.604116, acc: 0.695312] [adversarial loss: 0.936207, acc: 0.390625] 11232: [discriminator loss: 0.553330, acc: 0.703125] [adversarial loss: 1.425208, acc: 0.078125] 11233: [discriminator loss: 0.601043, acc: 0.656250] [adversarial loss: 1.112780, acc: 0.296875] 11234: [discriminator loss: 0.543440, acc: 0.734375] [adversarial loss: 1.296209, acc: 0.265625] 11235: [discriminator loss: 0.571350, acc: 0.726562] [adversarial loss: 0.920279, acc: 0.343750] 11236: [discriminator loss: 0.533777, acc: 0.726562] [adversarial loss: 1.345908, acc: 0.171875] 11237: [discriminator loss: 0.507017, acc: 0.742188] [adversarial loss: 0.963864, acc: 0.390625] 11238: [discriminator loss: 0.494847, acc: 0.765625] [adversarial loss: 1.390544, acc: 0.156250] 11239: [discriminator loss: 0.554593, acc: 0.679688] [adversarial loss: 1.069205, acc: 0.328125] 11240: [discriminator loss: 0.460103, acc: 0.789062] [adversarial loss: 1.396728, acc: 0.156250] 11241: [discriminator loss: 0.594350, acc: 0.679688] [adversarial loss: 0.881927, acc: 0.375000] 11242: [discriminator loss: 0.552195, acc: 0.734375] [adversarial loss: 1.298813, acc: 0.203125] 11243: [discriminator loss: 0.523572, acc: 0.695312] [adversarial loss: 0.829645, acc: 0.468750] 11244: [discriminator loss: 0.640252, acc: 0.648438] [adversarial loss: 1.478024, acc: 0.093750] 11245: [discriminator loss: 0.526391, acc: 0.703125] [adversarial loss: 0.885546, acc: 0.468750] 11246: [discriminator loss: 0.563397, acc: 0.718750] [adversarial loss: 1.312962, acc: 0.234375] 11247: [discriminator loss: 0.597834, acc: 0.703125] [adversarial loss: 1.042237, acc: 0.312500] 11248: [discriminator loss: 0.525661, acc: 0.734375] [adversarial loss: 1.406248, acc: 0.125000] 11249: [discriminator loss: 0.577455, acc: 0.687500] [adversarial loss: 1.309870, acc: 0.171875] 11250: [discriminator loss: 0.533251, acc: 0.695312] [adversarial loss: 0.980867, acc: 0.390625] 11251: [discriminator loss: 0.540042, acc: 0.695312] [adversarial loss: 1.115757, acc: 0.218750] 11252: [discriminator loss: 0.609486, acc: 0.687500] [adversarial loss: 1.245708, acc: 0.156250] 11253: [discriminator loss: 0.510898, acc: 0.734375] [adversarial loss: 1.082524, acc: 0.406250] 11254: [discriminator loss: 0.496646, acc: 0.781250] [adversarial loss: 1.229820, acc: 0.265625] 11255: [discriminator loss: 0.532137, acc: 0.718750] [adversarial loss: 0.821443, acc: 0.453125] 11256: [discriminator loss: 0.631041, acc: 0.671875] [adversarial loss: 1.300100, acc: 0.156250] 11257: [discriminator loss: 0.488469, acc: 0.734375] [adversarial loss: 1.017599, acc: 0.359375] 11258: [discriminator loss: 0.594576, acc: 0.648438] [adversarial loss: 1.169239, acc: 0.296875] 11259: [discriminator loss: 0.522486, acc: 0.742188] [adversarial loss: 1.290198, acc: 0.234375] 11260: [discriminator loss: 0.532972, acc: 0.703125] [adversarial loss: 0.963649, acc: 0.343750] 11261: [discriminator loss: 0.585902, acc: 0.703125] [adversarial loss: 1.175297, acc: 0.281250] 11262: [discriminator loss: 0.591821, acc: 0.726562] [adversarial loss: 1.059994, acc: 0.328125] 11263: [discriminator loss: 0.542120, acc: 0.710938] [adversarial loss: 1.132709, acc: 0.281250] 11264: [discriminator loss: 0.545242, acc: 0.703125] [adversarial loss: 1.017498, acc: 0.343750] 11265: [discriminator loss: 0.505331, acc: 0.718750] [adversarial loss: 1.462994, acc: 0.140625] 11266: [discriminator loss: 0.596320, acc: 0.664062] [adversarial loss: 0.641554, acc: 0.609375] 11267: [discriminator loss: 0.621046, acc: 0.695312] [adversarial loss: 1.617239, acc: 0.093750] 11268: [discriminator loss: 0.644545, acc: 0.625000] [adversarial loss: 0.954115, acc: 0.359375] 11269: [discriminator loss: 0.528923, acc: 0.781250] [adversarial loss: 1.123766, acc: 0.203125] 11270: [discriminator loss: 0.505159, acc: 0.796875] [adversarial loss: 1.023854, acc: 0.343750] 11271: [discriminator loss: 0.512290, acc: 0.757812] [adversarial loss: 1.266243, acc: 0.171875] 11272: [discriminator loss: 0.544620, acc: 0.726562] [adversarial loss: 0.776886, acc: 0.515625] 11273: [discriminator loss: 0.578508, acc: 0.664062] [adversarial loss: 1.650628, acc: 0.109375] 11274: [discriminator loss: 0.579684, acc: 0.656250] [adversarial loss: 0.902579, acc: 0.406250] 11275: [discriminator loss: 0.581764, acc: 0.671875] [adversarial loss: 1.312600, acc: 0.187500] 11276: [discriminator loss: 0.560739, acc: 0.718750] [adversarial loss: 0.997334, acc: 0.281250] 11277: [discriminator loss: 0.589402, acc: 0.679688] [adversarial loss: 1.451509, acc: 0.171875] 11278: [discriminator loss: 0.580995, acc: 0.656250] [adversarial loss: 0.951849, acc: 0.390625] 11279: [discriminator loss: 0.494074, acc: 0.781250] [adversarial loss: 1.135882, acc: 0.218750] 11280: [discriminator loss: 0.513186, acc: 0.734375] [adversarial loss: 1.060228, acc: 0.390625] 11281: [discriminator loss: 0.563713, acc: 0.718750] [adversarial loss: 1.291461, acc: 0.156250] 11282: [discriminator loss: 0.603968, acc: 0.695312] [adversarial loss: 1.023429, acc: 0.343750] 11283: [discriminator loss: 0.646915, acc: 0.617188] [adversarial loss: 1.433967, acc: 0.125000] 11284: [discriminator loss: 0.512909, acc: 0.765625] [adversarial loss: 0.952100, acc: 0.328125] 11285: [discriminator loss: 0.518075, acc: 0.718750] [adversarial loss: 1.379886, acc: 0.156250] 11286: [discriminator loss: 0.554410, acc: 0.718750] [adversarial loss: 1.222573, acc: 0.296875] 11287: [discriminator loss: 0.585697, acc: 0.656250] [adversarial loss: 1.567531, acc: 0.125000] 11288: [discriminator loss: 0.563684, acc: 0.695312] [adversarial loss: 0.874751, acc: 0.437500] 11289: [discriminator loss: 0.597781, acc: 0.671875] [adversarial loss: 1.147981, acc: 0.203125] 11290: [discriminator loss: 0.570287, acc: 0.671875] [adversarial loss: 0.936647, acc: 0.296875] 11291: [discriminator loss: 0.512490, acc: 0.742188] [adversarial loss: 1.450970, acc: 0.078125] 11292: [discriminator loss: 0.595963, acc: 0.656250] [adversarial loss: 0.823685, acc: 0.531250] 11293: [discriminator loss: 0.560786, acc: 0.695312] [adversarial loss: 1.327407, acc: 0.234375] 11294: [discriminator loss: 0.599198, acc: 0.671875] [adversarial loss: 0.891928, acc: 0.453125] 11295: [discriminator loss: 0.469166, acc: 0.789062] [adversarial loss: 1.454757, acc: 0.093750] 11296: [discriminator loss: 0.577878, acc: 0.687500] [adversarial loss: 1.031531, acc: 0.343750] 11297: [discriminator loss: 0.554927, acc: 0.710938] [adversarial loss: 1.320929, acc: 0.234375] 11298: [discriminator loss: 0.540659, acc: 0.750000] [adversarial loss: 0.902629, acc: 0.453125] 11299: [discriminator loss: 0.555424, acc: 0.726562] [adversarial loss: 1.218930, acc: 0.265625] 11300: [discriminator loss: 0.604663, acc: 0.695312] [adversarial loss: 0.963385, acc: 0.390625] 11301: [discriminator loss: 0.584516, acc: 0.703125] [adversarial loss: 1.497370, acc: 0.125000] 11302: [discriminator loss: 0.557670, acc: 0.718750] [adversarial loss: 0.835093, acc: 0.484375] 11303: [discriminator loss: 0.564254, acc: 0.718750] [adversarial loss: 1.177829, acc: 0.234375] 11304: [discriminator loss: 0.551080, acc: 0.726562] [adversarial loss: 1.043905, acc: 0.343750] 11305: [discriminator loss: 0.576380, acc: 0.710938] [adversarial loss: 1.203904, acc: 0.250000] 11306: [discriminator loss: 0.564471, acc: 0.695312] [adversarial loss: 0.931525, acc: 0.375000] 11307: [discriminator loss: 0.488746, acc: 0.796875] [adversarial loss: 1.248024, acc: 0.218750] 11308: [discriminator loss: 0.578358, acc: 0.679688] [adversarial loss: 0.959788, acc: 0.312500] 11309: [discriminator loss: 0.553246, acc: 0.710938] [adversarial loss: 1.244494, acc: 0.187500] 11310: [discriminator loss: 0.496970, acc: 0.773438] [adversarial loss: 1.095653, acc: 0.203125] 11311: [discriminator loss: 0.602077, acc: 0.671875] [adversarial loss: 1.171366, acc: 0.234375] 11312: [discriminator loss: 0.580173, acc: 0.687500] [adversarial loss: 1.463295, acc: 0.062500] 11313: [discriminator loss: 0.551842, acc: 0.734375] [adversarial loss: 0.877253, acc: 0.406250] 11314: [discriminator loss: 0.563031, acc: 0.679688] [adversarial loss: 1.414322, acc: 0.109375] 11315: [discriminator loss: 0.557679, acc: 0.710938] [adversarial loss: 0.984538, acc: 0.375000] 11316: [discriminator loss: 0.505362, acc: 0.765625] [adversarial loss: 1.443279, acc: 0.218750] 11317: [discriminator loss: 0.548382, acc: 0.695312] [adversarial loss: 0.835663, acc: 0.390625] 11318: [discriminator loss: 0.549838, acc: 0.734375] [adversarial loss: 1.330142, acc: 0.234375] 11319: [discriminator loss: 0.516622, acc: 0.718750] [adversarial loss: 0.974449, acc: 0.343750] 11320: [discriminator loss: 0.566203, acc: 0.726562] [adversarial loss: 1.262460, acc: 0.203125] 11321: [discriminator loss: 0.509950, acc: 0.781250] [adversarial loss: 0.866289, acc: 0.437500] 11322: [discriminator loss: 0.548303, acc: 0.742188] [adversarial loss: 1.396874, acc: 0.140625] 11323: [discriminator loss: 0.519213, acc: 0.726562] [adversarial loss: 1.002048, acc: 0.343750] 11324: [discriminator loss: 0.636967, acc: 0.679688] [adversarial loss: 1.452589, acc: 0.140625] 11325: [discriminator loss: 0.500404, acc: 0.742188] [adversarial loss: 0.916886, acc: 0.484375] 11326: [discriminator loss: 0.474846, acc: 0.789062] [adversarial loss: 1.304454, acc: 0.187500] 11327: [discriminator loss: 0.634247, acc: 0.648438] [adversarial loss: 0.825232, acc: 0.484375] 11328: [discriminator loss: 0.548171, acc: 0.703125] [adversarial loss: 1.630995, acc: 0.125000] 11329: [discriminator loss: 0.665927, acc: 0.625000] [adversarial loss: 0.926817, acc: 0.406250] 11330: [discriminator loss: 0.645528, acc: 0.656250] [adversarial loss: 1.379010, acc: 0.187500] 11331: [discriminator loss: 0.578496, acc: 0.703125] [adversarial loss: 1.034305, acc: 0.359375] 11332: [discriminator loss: 0.586286, acc: 0.656250] [adversarial loss: 1.499705, acc: 0.046875] 11333: [discriminator loss: 0.578976, acc: 0.695312] [adversarial loss: 1.065638, acc: 0.296875] 11334: [discriminator loss: 0.511287, acc: 0.718750] [adversarial loss: 0.993049, acc: 0.328125] 11335: [discriminator loss: 0.541623, acc: 0.765625] [adversarial loss: 1.048488, acc: 0.250000] 11336: [discriminator loss: 0.519982, acc: 0.734375] [adversarial loss: 1.149078, acc: 0.234375] 11337: [discriminator loss: 0.518353, acc: 0.750000] [adversarial loss: 1.074784, acc: 0.312500] 11338: [discriminator loss: 0.516628, acc: 0.726562] [adversarial loss: 1.253362, acc: 0.203125] 11339: [discriminator loss: 0.486668, acc: 0.804688] [adversarial loss: 1.245707, acc: 0.296875] 11340: [discriminator loss: 0.575455, acc: 0.765625] [adversarial loss: 1.167645, acc: 0.187500] 11341: [discriminator loss: 0.550801, acc: 0.726562] [adversarial loss: 1.316293, acc: 0.218750] 11342: [discriminator loss: 0.568362, acc: 0.726562] [adversarial loss: 0.936489, acc: 0.437500] 11343: [discriminator loss: 0.523489, acc: 0.742188] [adversarial loss: 1.166276, acc: 0.218750] 11344: [discriminator loss: 0.537321, acc: 0.734375] [adversarial loss: 1.409542, acc: 0.171875] 11345: [discriminator loss: 0.515678, acc: 0.757812] [adversarial loss: 0.970741, acc: 0.375000] 11346: [discriminator loss: 0.537012, acc: 0.710938] [adversarial loss: 1.148211, acc: 0.265625] 11347: [discriminator loss: 0.549390, acc: 0.734375] [adversarial loss: 1.506977, acc: 0.140625] 11348: [discriminator loss: 0.575331, acc: 0.679688] [adversarial loss: 0.939833, acc: 0.375000] 11349: [discriminator loss: 0.573165, acc: 0.750000] [adversarial loss: 1.358518, acc: 0.203125] 11350: [discriminator loss: 0.607188, acc: 0.695312] [adversarial loss: 0.947357, acc: 0.375000] 11351: [discriminator loss: 0.540732, acc: 0.718750] [adversarial loss: 1.588451, acc: 0.093750] 11352: [discriminator loss: 0.605780, acc: 0.648438] [adversarial loss: 0.839555, acc: 0.484375] 11353: [discriminator loss: 0.511722, acc: 0.734375] [adversarial loss: 1.501812, acc: 0.109375] 11354: [discriminator loss: 0.624988, acc: 0.695312] [adversarial loss: 1.103385, acc: 0.234375] 11355: [discriminator loss: 0.550299, acc: 0.718750] [adversarial loss: 1.200667, acc: 0.250000] 11356: [discriminator loss: 0.506507, acc: 0.726562] [adversarial loss: 0.951495, acc: 0.312500] 11357: [discriminator loss: 0.538107, acc: 0.750000] [adversarial loss: 1.241331, acc: 0.218750] 11358: [discriminator loss: 0.516257, acc: 0.742188] [adversarial loss: 1.132104, acc: 0.234375] 11359: [discriminator loss: 0.577178, acc: 0.671875] [adversarial loss: 0.930530, acc: 0.343750] 11360: [discriminator loss: 0.554023, acc: 0.781250] [adversarial loss: 1.463308, acc: 0.140625] 11361: [discriminator loss: 0.643377, acc: 0.671875] [adversarial loss: 0.896613, acc: 0.437500] 11362: [discriminator loss: 0.598533, acc: 0.679688] [adversarial loss: 1.272153, acc: 0.265625] 11363: [discriminator loss: 0.536402, acc: 0.734375] [adversarial loss: 0.980444, acc: 0.359375] 11364: [discriminator loss: 0.672119, acc: 0.601562] [adversarial loss: 1.370303, acc: 0.140625] 11365: [discriminator loss: 0.547454, acc: 0.703125] [adversarial loss: 0.801392, acc: 0.546875] 11366: [discriminator loss: 0.579788, acc: 0.695312] [adversarial loss: 1.549244, acc: 0.078125] 11367: [discriminator loss: 0.702665, acc: 0.625000] [adversarial loss: 0.973475, acc: 0.312500] 11368: [discriminator loss: 0.510223, acc: 0.726562] [adversarial loss: 1.104720, acc: 0.343750] 11369: [discriminator loss: 0.512084, acc: 0.726562] [adversarial loss: 1.063864, acc: 0.265625] 11370: [discriminator loss: 0.491460, acc: 0.781250] [adversarial loss: 1.195120, acc: 0.187500] 11371: [discriminator loss: 0.566656, acc: 0.695312] [adversarial loss: 0.908459, acc: 0.359375] 11372: [discriminator loss: 0.531807, acc: 0.742188] [adversarial loss: 1.198845, acc: 0.250000] 11373: [discriminator loss: 0.593720, acc: 0.687500] [adversarial loss: 1.027348, acc: 0.343750] 11374: [discriminator loss: 0.551251, acc: 0.726562] [adversarial loss: 1.431838, acc: 0.140625] 11375: [discriminator loss: 0.656009, acc: 0.632812] [adversarial loss: 0.908565, acc: 0.421875] 11376: [discriminator loss: 0.520336, acc: 0.757812] [adversarial loss: 1.363550, acc: 0.156250] 11377: [discriminator loss: 0.486718, acc: 0.765625] [adversarial loss: 1.134267, acc: 0.250000] 11378: [discriminator loss: 0.503522, acc: 0.734375] [adversarial loss: 0.916287, acc: 0.437500] 11379: [discriminator loss: 0.490525, acc: 0.789062] [adversarial loss: 1.500905, acc: 0.156250] 11380: [discriminator loss: 0.520269, acc: 0.703125] [adversarial loss: 0.974648, acc: 0.406250] 11381: [discriminator loss: 0.593407, acc: 0.703125] [adversarial loss: 1.278772, acc: 0.156250] 11382: [discriminator loss: 0.527392, acc: 0.765625] [adversarial loss: 1.369715, acc: 0.156250] 11383: [discriminator loss: 0.490505, acc: 0.750000] [adversarial loss: 0.821627, acc: 0.484375] 11384: [discriminator loss: 0.551895, acc: 0.679688] [adversarial loss: 1.511784, acc: 0.125000] 11385: [discriminator loss: 0.585025, acc: 0.726562] [adversarial loss: 1.190410, acc: 0.234375] 11386: [discriminator loss: 0.590880, acc: 0.679688] [adversarial loss: 1.164608, acc: 0.250000] 11387: [discriminator loss: 0.532755, acc: 0.734375] [adversarial loss: 1.133531, acc: 0.265625] 11388: [discriminator loss: 0.622422, acc: 0.648438] [adversarial loss: 1.159893, acc: 0.187500] 11389: [discriminator loss: 0.578761, acc: 0.703125] [adversarial loss: 0.760194, acc: 0.531250] 11390: [discriminator loss: 0.512656, acc: 0.726562] [adversarial loss: 1.637018, acc: 0.078125] 11391: [discriminator loss: 0.605333, acc: 0.687500] [adversarial loss: 1.028432, acc: 0.359375] 11392: [discriminator loss: 0.574084, acc: 0.695312] [adversarial loss: 1.507295, acc: 0.140625] 11393: [discriminator loss: 0.616146, acc: 0.601562] [adversarial loss: 0.860392, acc: 0.437500] 11394: [discriminator loss: 0.541372, acc: 0.726562] [adversarial loss: 1.361066, acc: 0.156250] 11395: [discriminator loss: 0.564587, acc: 0.687500] [adversarial loss: 0.948922, acc: 0.343750] 11396: [discriminator loss: 0.518064, acc: 0.750000] [adversarial loss: 1.535365, acc: 0.109375] 11397: [discriminator loss: 0.612417, acc: 0.625000] [adversarial loss: 0.745992, acc: 0.531250] 11398: [discriminator loss: 0.569895, acc: 0.703125] [adversarial loss: 1.647911, acc: 0.125000] 11399: [discriminator loss: 0.620618, acc: 0.640625] [adversarial loss: 1.068929, acc: 0.375000] 11400: [discriminator loss: 0.561034, acc: 0.703125] [adversarial loss: 0.980535, acc: 0.312500] 11401: [discriminator loss: 0.542280, acc: 0.718750] [adversarial loss: 1.269372, acc: 0.171875] 11402: [discriminator loss: 0.519078, acc: 0.718750] [adversarial loss: 1.025183, acc: 0.296875] 11403: [discriminator loss: 0.571796, acc: 0.656250] [adversarial loss: 1.402330, acc: 0.156250] 11404: [discriminator loss: 0.571202, acc: 0.679688] [adversarial loss: 0.972698, acc: 0.359375] 11405: [discriminator loss: 0.520467, acc: 0.757812] [adversarial loss: 1.193433, acc: 0.156250] 11406: [discriminator loss: 0.494564, acc: 0.750000] [adversarial loss: 1.087126, acc: 0.265625] 11407: [discriminator loss: 0.620294, acc: 0.648438] [adversarial loss: 1.360722, acc: 0.140625] 11408: [discriminator loss: 0.558460, acc: 0.695312] [adversarial loss: 0.979200, acc: 0.375000] 11409: [discriminator loss: 0.508367, acc: 0.765625] [adversarial loss: 1.274206, acc: 0.296875] 11410: [discriminator loss: 0.572980, acc: 0.687500] [adversarial loss: 1.051253, acc: 0.312500] 11411: [discriminator loss: 0.560551, acc: 0.773438] [adversarial loss: 1.388818, acc: 0.187500] 11412: [discriminator loss: 0.586053, acc: 0.656250] [adversarial loss: 0.929342, acc: 0.390625] 11413: [discriminator loss: 0.563127, acc: 0.695312] [adversarial loss: 1.564650, acc: 0.062500] 11414: [discriminator loss: 0.504533, acc: 0.734375] [adversarial loss: 0.839448, acc: 0.484375] 11415: [discriminator loss: 0.564380, acc: 0.710938] [adversarial loss: 1.496718, acc: 0.156250] 11416: [discriminator loss: 0.562709, acc: 0.679688] [adversarial loss: 0.835058, acc: 0.468750] 11417: [discriminator loss: 0.526179, acc: 0.734375] [adversarial loss: 1.429167, acc: 0.171875] 11418: [discriminator loss: 0.582264, acc: 0.671875] [adversarial loss: 0.796974, acc: 0.515625] 11419: [discriminator loss: 0.602583, acc: 0.671875] [adversarial loss: 1.393475, acc: 0.171875] 11420: [discriminator loss: 0.475944, acc: 0.773438] [adversarial loss: 0.996697, acc: 0.343750] 11421: [discriminator loss: 0.583865, acc: 0.695312] [adversarial loss: 1.250795, acc: 0.187500] 11422: [discriminator loss: 0.565713, acc: 0.695312] [adversarial loss: 0.853708, acc: 0.421875] 11423: [discriminator loss: 0.590953, acc: 0.695312] [adversarial loss: 1.333896, acc: 0.125000] 11424: [discriminator loss: 0.540209, acc: 0.710938] [adversarial loss: 1.082349, acc: 0.296875] 11425: [discriminator loss: 0.510652, acc: 0.773438] [adversarial loss: 1.037286, acc: 0.250000] 11426: [discriminator loss: 0.617089, acc: 0.656250] [adversarial loss: 1.162948, acc: 0.234375] 11427: [discriminator loss: 0.514596, acc: 0.750000] [adversarial loss: 1.212053, acc: 0.265625] 11428: [discriminator loss: 0.498855, acc: 0.765625] [adversarial loss: 1.074252, acc: 0.296875] 11429: [discriminator loss: 0.527806, acc: 0.726562] [adversarial loss: 1.569463, acc: 0.187500] 11430: [discriminator loss: 0.583095, acc: 0.718750] [adversarial loss: 0.952738, acc: 0.390625] 11431: [discriminator loss: 0.535150, acc: 0.757812] [adversarial loss: 1.513384, acc: 0.171875] 11432: [discriminator loss: 0.592790, acc: 0.695312] [adversarial loss: 0.926963, acc: 0.421875] 11433: [discriminator loss: 0.550316, acc: 0.710938] [adversarial loss: 1.117149, acc: 0.328125] 11434: [discriminator loss: 0.548196, acc: 0.695312] [adversarial loss: 1.140523, acc: 0.281250] 11435: [discriminator loss: 0.556042, acc: 0.703125] [adversarial loss: 0.788026, acc: 0.484375] 11436: [discriminator loss: 0.545838, acc: 0.710938] [adversarial loss: 1.167520, acc: 0.234375] 11437: [discriminator loss: 0.547911, acc: 0.750000] [adversarial loss: 1.051667, acc: 0.296875] 11438: [discriminator loss: 0.583322, acc: 0.648438] [adversarial loss: 1.107817, acc: 0.250000] 11439: [discriminator loss: 0.628203, acc: 0.632812] [adversarial loss: 1.123404, acc: 0.328125] 11440: [discriminator loss: 0.576600, acc: 0.656250] [adversarial loss: 1.154028, acc: 0.234375] 11441: [discriminator loss: 0.497612, acc: 0.765625] [adversarial loss: 1.016406, acc: 0.390625] 11442: [discriminator loss: 0.538669, acc: 0.656250] [adversarial loss: 1.562853, acc: 0.140625] 11443: [discriminator loss: 0.611466, acc: 0.671875] [adversarial loss: 0.774427, acc: 0.593750] 11444: [discriminator loss: 0.645501, acc: 0.679688] [adversarial loss: 1.857212, acc: 0.046875] 11445: [discriminator loss: 0.639477, acc: 0.609375] [adversarial loss: 0.678139, acc: 0.625000] 11446: [discriminator loss: 0.657049, acc: 0.640625] [adversarial loss: 1.375960, acc: 0.187500] 11447: [discriminator loss: 0.540537, acc: 0.718750] [adversarial loss: 1.203353, acc: 0.218750] 11448: [discriminator loss: 0.576429, acc: 0.687500] [adversarial loss: 1.063983, acc: 0.250000] 11449: [discriminator loss: 0.541979, acc: 0.695312] [adversarial loss: 1.096663, acc: 0.234375] 11450: [discriminator loss: 0.465928, acc: 0.773438] [adversarial loss: 1.542757, acc: 0.031250] 11451: [discriminator loss: 0.514116, acc: 0.750000] [adversarial loss: 1.156198, acc: 0.171875] 11452: [discriminator loss: 0.611751, acc: 0.679688] [adversarial loss: 1.243837, acc: 0.140625] 11453: [discriminator loss: 0.567852, acc: 0.734375] [adversarial loss: 1.047329, acc: 0.234375] 11454: [discriminator loss: 0.483919, acc: 0.796875] [adversarial loss: 1.082086, acc: 0.234375] 11455: [discriminator loss: 0.510682, acc: 0.750000] [adversarial loss: 1.179522, acc: 0.203125] 11456: [discriminator loss: 0.590279, acc: 0.695312] [adversarial loss: 1.149697, acc: 0.296875] 11457: [discriminator loss: 0.500915, acc: 0.757812] [adversarial loss: 1.068198, acc: 0.265625] 11458: [discriminator loss: 0.516713, acc: 0.750000] [adversarial loss: 1.186612, acc: 0.281250] 11459: [discriminator loss: 0.501911, acc: 0.765625] [adversarial loss: 1.165832, acc: 0.281250] 11460: [discriminator loss: 0.557654, acc: 0.703125] [adversarial loss: 1.097019, acc: 0.296875] 11461: [discriminator loss: 0.647837, acc: 0.593750] [adversarial loss: 1.137709, acc: 0.265625] 11462: [discriminator loss: 0.563863, acc: 0.718750] [adversarial loss: 1.139046, acc: 0.140625] 11463: [discriminator loss: 0.551767, acc: 0.726562] [adversarial loss: 0.898576, acc: 0.375000] 11464: [discriminator loss: 0.696727, acc: 0.585938] [adversarial loss: 1.567406, acc: 0.062500] 11465: [discriminator loss: 0.526572, acc: 0.710938] [adversarial loss: 0.878165, acc: 0.453125] 11466: [discriminator loss: 0.582009, acc: 0.718750] [adversarial loss: 1.347753, acc: 0.125000] 11467: [discriminator loss: 0.585501, acc: 0.625000] [adversarial loss: 0.736336, acc: 0.562500] 11468: [discriminator loss: 0.651669, acc: 0.671875] [adversarial loss: 1.460691, acc: 0.156250] 11469: [discriminator loss: 0.545220, acc: 0.679688] [adversarial loss: 1.027641, acc: 0.312500] 11470: [discriminator loss: 0.569406, acc: 0.695312] [adversarial loss: 1.210822, acc: 0.234375] 11471: [discriminator loss: 0.569034, acc: 0.718750] [adversarial loss: 1.071286, acc: 0.265625] 11472: [discriminator loss: 0.505592, acc: 0.773438] [adversarial loss: 1.254244, acc: 0.234375] 11473: [discriminator loss: 0.519273, acc: 0.742188] [adversarial loss: 1.185812, acc: 0.265625] 11474: [discriminator loss: 0.572655, acc: 0.710938] [adversarial loss: 1.004364, acc: 0.359375] 11475: [discriminator loss: 0.541048, acc: 0.742188] [adversarial loss: 1.230247, acc: 0.140625] 11476: [discriminator loss: 0.536936, acc: 0.734375] [adversarial loss: 1.125313, acc: 0.250000] 11477: [discriminator loss: 0.545319, acc: 0.734375] [adversarial loss: 1.057044, acc: 0.359375] 11478: [discriminator loss: 0.564449, acc: 0.695312] [adversarial loss: 1.225588, acc: 0.156250] 11479: [discriminator loss: 0.600184, acc: 0.718750] [adversarial loss: 1.213462, acc: 0.203125] 11480: [discriminator loss: 0.522217, acc: 0.750000] [adversarial loss: 1.307437, acc: 0.171875] 11481: [discriminator loss: 0.550898, acc: 0.664062] [adversarial loss: 1.232406, acc: 0.234375] 11482: [discriminator loss: 0.552360, acc: 0.718750] [adversarial loss: 1.494499, acc: 0.125000] 11483: [discriminator loss: 0.549706, acc: 0.726562] [adversarial loss: 1.012234, acc: 0.359375] 11484: [discriminator loss: 0.512007, acc: 0.671875] [adversarial loss: 1.413277, acc: 0.093750] 11485: [discriminator loss: 0.567132, acc: 0.640625] [adversarial loss: 1.181574, acc: 0.343750] 11486: [discriminator loss: 0.573531, acc: 0.726562] [adversarial loss: 1.612466, acc: 0.140625] 11487: [discriminator loss: 0.586561, acc: 0.687500] [adversarial loss: 0.831068, acc: 0.562500] 11488: [discriminator loss: 0.553957, acc: 0.742188] [adversarial loss: 1.238533, acc: 0.234375] 11489: [discriminator loss: 0.567870, acc: 0.664062] [adversarial loss: 1.283368, acc: 0.234375] 11490: [discriminator loss: 0.457118, acc: 0.843750] [adversarial loss: 1.156200, acc: 0.328125] 11491: [discriminator loss: 0.539789, acc: 0.703125] [adversarial loss: 1.520457, acc: 0.140625] 11492: [discriminator loss: 0.677706, acc: 0.585938] [adversarial loss: 0.679643, acc: 0.609375] 11493: [discriminator loss: 0.562659, acc: 0.718750] [adversarial loss: 1.407791, acc: 0.140625] 11494: [discriminator loss: 0.507107, acc: 0.750000] [adversarial loss: 0.780392, acc: 0.531250] 11495: [discriminator loss: 0.613714, acc: 0.648438] [adversarial loss: 1.424967, acc: 0.140625] 11496: [discriminator loss: 0.551898, acc: 0.671875] [adversarial loss: 0.905381, acc: 0.390625] 11497: [discriminator loss: 0.528009, acc: 0.734375] [adversarial loss: 1.214799, acc: 0.234375] 11498: [discriminator loss: 0.547399, acc: 0.718750] [adversarial loss: 0.997448, acc: 0.390625] 11499: [discriminator loss: 0.591736, acc: 0.718750] [adversarial loss: 1.346394, acc: 0.203125] 11500: [discriminator loss: 0.475145, acc: 0.742188] [adversarial loss: 1.006930, acc: 0.375000] 11501: [discriminator loss: 0.564442, acc: 0.710938] [adversarial loss: 1.258272, acc: 0.250000] 11502: [discriminator loss: 0.603909, acc: 0.648438] [adversarial loss: 1.039846, acc: 0.328125] 11503: [discriminator loss: 0.588605, acc: 0.648438] [adversarial loss: 1.666113, acc: 0.156250] 11504: [discriminator loss: 0.634147, acc: 0.632812] [adversarial loss: 0.871207, acc: 0.375000] 11505: [discriminator loss: 0.575061, acc: 0.718750] [adversarial loss: 1.428411, acc: 0.093750] 11506: [discriminator loss: 0.542801, acc: 0.710938] [adversarial loss: 0.908684, acc: 0.421875] 11507: [discriminator loss: 0.499764, acc: 0.781250] [adversarial loss: 1.391646, acc: 0.171875] 11508: [discriminator loss: 0.510030, acc: 0.742188] [adversarial loss: 0.916759, acc: 0.359375] 11509: [discriminator loss: 0.527244, acc: 0.695312] [adversarial loss: 1.419794, acc: 0.109375] 11510: [discriminator loss: 0.576352, acc: 0.656250] [adversarial loss: 1.016452, acc: 0.296875] 11511: [discriminator loss: 0.573745, acc: 0.671875] [adversarial loss: 1.317645, acc: 0.296875] 11512: [discriminator loss: 0.513410, acc: 0.773438] [adversarial loss: 1.241337, acc: 0.203125] 11513: [discriminator loss: 0.531009, acc: 0.703125] [adversarial loss: 1.110278, acc: 0.343750] 11514: [discriminator loss: 0.526792, acc: 0.695312] [adversarial loss: 1.262282, acc: 0.187500] 11515: [discriminator loss: 0.520396, acc: 0.781250] [adversarial loss: 1.213029, acc: 0.265625] 11516: [discriminator loss: 0.631558, acc: 0.617188] [adversarial loss: 1.303921, acc: 0.140625] 11517: [discriminator loss: 0.558607, acc: 0.679688] [adversarial loss: 1.015748, acc: 0.234375] 11518: [discriminator loss: 0.545479, acc: 0.710938] [adversarial loss: 1.328867, acc: 0.109375] 11519: [discriminator loss: 0.567855, acc: 0.710938] [adversarial loss: 1.034082, acc: 0.375000] 11520: [discriminator loss: 0.615791, acc: 0.687500] [adversarial loss: 1.363774, acc: 0.156250] 11521: [discriminator loss: 0.579821, acc: 0.656250] [adversarial loss: 0.820779, acc: 0.500000] 11522: [discriminator loss: 0.527177, acc: 0.734375] [adversarial loss: 1.187346, acc: 0.328125] 11523: [discriminator loss: 0.499959, acc: 0.734375] [adversarial loss: 1.078010, acc: 0.328125] 11524: [discriminator loss: 0.515298, acc: 0.796875] [adversarial loss: 1.324932, acc: 0.203125] 11525: [discriminator loss: 0.568221, acc: 0.687500] [adversarial loss: 1.022638, acc: 0.265625] 11526: [discriminator loss: 0.543696, acc: 0.671875] [adversarial loss: 1.242542, acc: 0.218750] 11527: [discriminator loss: 0.565909, acc: 0.687500] [adversarial loss: 1.097994, acc: 0.296875] 11528: [discriminator loss: 0.603986, acc: 0.718750] [adversarial loss: 0.989722, acc: 0.312500] 11529: [discriminator loss: 0.582203, acc: 0.679688] [adversarial loss: 1.039956, acc: 0.296875] 11530: [discriminator loss: 0.519060, acc: 0.734375] [adversarial loss: 1.270233, acc: 0.109375] 11531: [discriminator loss: 0.590047, acc: 0.671875] [adversarial loss: 1.000564, acc: 0.328125] 11532: [discriminator loss: 0.533809, acc: 0.687500] [adversarial loss: 1.066966, acc: 0.296875] 11533: [discriminator loss: 0.617928, acc: 0.656250] [adversarial loss: 1.078805, acc: 0.312500] 11534: [discriminator loss: 0.582964, acc: 0.679688] [adversarial loss: 1.113784, acc: 0.250000] 11535: [discriminator loss: 0.538845, acc: 0.695312] [adversarial loss: 1.145470, acc: 0.234375] 11536: [discriminator loss: 0.502013, acc: 0.765625] [adversarial loss: 0.925745, acc: 0.421875] 11537: [discriminator loss: 0.590496, acc: 0.742188] [adversarial loss: 1.462817, acc: 0.125000] 11538: [discriminator loss: 0.538685, acc: 0.726562] [adversarial loss: 0.765566, acc: 0.484375] 11539: [discriminator loss: 0.556532, acc: 0.710938] [adversarial loss: 1.587486, acc: 0.078125] 11540: [discriminator loss: 0.588845, acc: 0.695312] [adversarial loss: 0.669244, acc: 0.578125] 11541: [discriminator loss: 0.615717, acc: 0.671875] [adversarial loss: 1.520722, acc: 0.062500] 11542: [discriminator loss: 0.618318, acc: 0.664062] [adversarial loss: 0.991628, acc: 0.312500] 11543: [discriminator loss: 0.584816, acc: 0.695312] [adversarial loss: 1.563505, acc: 0.078125] 11544: [discriminator loss: 0.553185, acc: 0.695312] [adversarial loss: 0.852049, acc: 0.453125] 11545: [discriminator loss: 0.617068, acc: 0.664062] [adversarial loss: 1.572321, acc: 0.078125] 11546: [discriminator loss: 0.589954, acc: 0.656250] [adversarial loss: 1.162668, acc: 0.296875] 11547: [discriminator loss: 0.547178, acc: 0.726562] [adversarial loss: 1.371094, acc: 0.187500] 11548: [discriminator loss: 0.541248, acc: 0.734375] [adversarial loss: 1.005845, acc: 0.375000] 11549: [discriminator loss: 0.503369, acc: 0.765625] [adversarial loss: 1.117397, acc: 0.218750] 11550: [discriminator loss: 0.584400, acc: 0.710938] [adversarial loss: 1.233018, acc: 0.171875] 11551: [discriminator loss: 0.523938, acc: 0.742188] [adversarial loss: 1.011383, acc: 0.343750] 11552: [discriminator loss: 0.535016, acc: 0.687500] [adversarial loss: 1.212151, acc: 0.234375] 11553: [discriminator loss: 0.580160, acc: 0.687500] [adversarial loss: 1.242650, acc: 0.250000] 11554: [discriminator loss: 0.500032, acc: 0.781250] [adversarial loss: 1.239414, acc: 0.203125] 11555: [discriminator loss: 0.603121, acc: 0.695312] [adversarial loss: 0.993186, acc: 0.281250] 11556: [discriminator loss: 0.517195, acc: 0.734375] [adversarial loss: 1.453661, acc: 0.140625] 11557: [discriminator loss: 0.583895, acc: 0.679688] [adversarial loss: 0.772731, acc: 0.515625] 11558: [discriminator loss: 0.572606, acc: 0.671875] [adversarial loss: 1.442496, acc: 0.156250] 11559: [discriminator loss: 0.512307, acc: 0.750000] [adversarial loss: 1.080874, acc: 0.234375] 11560: [discriminator loss: 0.475280, acc: 0.789062] [adversarial loss: 1.452555, acc: 0.203125] 11561: [discriminator loss: 0.611064, acc: 0.656250] [adversarial loss: 0.915526, acc: 0.453125] 11562: [discriminator loss: 0.602379, acc: 0.679688] [adversarial loss: 1.358112, acc: 0.218750] 11563: [discriminator loss: 0.541894, acc: 0.742188] [adversarial loss: 1.070089, acc: 0.375000] 11564: [discriminator loss: 0.572762, acc: 0.726562] [adversarial loss: 1.215134, acc: 0.203125] 11565: [discriminator loss: 0.639994, acc: 0.671875] [adversarial loss: 1.182628, acc: 0.234375] 11566: [discriminator loss: 0.479594, acc: 0.750000] [adversarial loss: 1.215615, acc: 0.234375] 11567: [discriminator loss: 0.557519, acc: 0.710938] [adversarial loss: 1.043443, acc: 0.406250] 11568: [discriminator loss: 0.548725, acc: 0.703125] [adversarial loss: 1.162018, acc: 0.187500] 11569: [discriminator loss: 0.520586, acc: 0.726562] [adversarial loss: 1.339462, acc: 0.171875] 11570: [discriminator loss: 0.561497, acc: 0.726562] [adversarial loss: 1.039343, acc: 0.328125] 11571: [discriminator loss: 0.553607, acc: 0.687500] [adversarial loss: 1.175601, acc: 0.187500] 11572: [discriminator loss: 0.502896, acc: 0.750000] [adversarial loss: 1.165694, acc: 0.218750] 11573: [discriminator loss: 0.517972, acc: 0.750000] [adversarial loss: 1.199911, acc: 0.250000] 11574: [discriminator loss: 0.562029, acc: 0.687500] [adversarial loss: 1.253297, acc: 0.218750] 11575: [discriminator loss: 0.503694, acc: 0.742188] [adversarial loss: 0.972921, acc: 0.359375] 11576: [discriminator loss: 0.543780, acc: 0.710938] [adversarial loss: 1.498657, acc: 0.140625] 11577: [discriminator loss: 0.508448, acc: 0.742188] [adversarial loss: 0.807125, acc: 0.453125] 11578: [discriminator loss: 0.602656, acc: 0.648438] [adversarial loss: 1.566595, acc: 0.140625] 11579: [discriminator loss: 0.536438, acc: 0.703125] [adversarial loss: 0.952168, acc: 0.437500] 11580: [discriminator loss: 0.567750, acc: 0.742188] [adversarial loss: 1.575577, acc: 0.093750] 11581: [discriminator loss: 0.546355, acc: 0.734375] [adversarial loss: 0.790455, acc: 0.453125] 11582: [discriminator loss: 0.579735, acc: 0.679688] [adversarial loss: 1.338323, acc: 0.171875] 11583: [discriminator loss: 0.557586, acc: 0.718750] [adversarial loss: 0.864520, acc: 0.468750] 11584: [discriminator loss: 0.610039, acc: 0.695312] [adversarial loss: 1.314456, acc: 0.218750] 11585: [discriminator loss: 0.629888, acc: 0.625000] [adversarial loss: 0.659504, acc: 0.640625] 11586: [discriminator loss: 0.615320, acc: 0.671875] [adversarial loss: 1.563286, acc: 0.109375] 11587: [discriminator loss: 0.584246, acc: 0.671875] [adversarial loss: 1.151816, acc: 0.203125] 11588: [discriminator loss: 0.544254, acc: 0.710938] [adversarial loss: 1.085811, acc: 0.203125] 11589: [discriminator loss: 0.543526, acc: 0.742188] [adversarial loss: 1.273664, acc: 0.171875] 11590: [discriminator loss: 0.506296, acc: 0.750000] [adversarial loss: 1.129435, acc: 0.281250] 11591: [discriminator loss: 0.535687, acc: 0.734375] [adversarial loss: 1.171183, acc: 0.281250] 11592: [discriminator loss: 0.545070, acc: 0.687500] [adversarial loss: 1.178264, acc: 0.281250] 11593: [discriminator loss: 0.533276, acc: 0.687500] [adversarial loss: 0.796668, acc: 0.437500] 11594: [discriminator loss: 0.550987, acc: 0.726562] [adversarial loss: 1.388142, acc: 0.187500] 11595: [discriminator loss: 0.544913, acc: 0.679688] [adversarial loss: 0.896710, acc: 0.500000] 11596: [discriminator loss: 0.510272, acc: 0.781250] [adversarial loss: 1.312466, acc: 0.140625] 11597: [discriminator loss: 0.568184, acc: 0.703125] [adversarial loss: 0.802438, acc: 0.453125] 11598: [discriminator loss: 0.550794, acc: 0.703125] [adversarial loss: 1.769041, acc: 0.109375] 11599: [discriminator loss: 0.622828, acc: 0.601562] [adversarial loss: 0.876597, acc: 0.453125] 11600: [discriminator loss: 0.588790, acc: 0.726562] [adversarial loss: 1.432855, acc: 0.156250] 11601: [discriminator loss: 0.536702, acc: 0.695312] [adversarial loss: 1.036281, acc: 0.296875] 11602: [discriminator loss: 0.561102, acc: 0.734375] [adversarial loss: 0.907023, acc: 0.343750] 11603: [discriminator loss: 0.515001, acc: 0.781250] [adversarial loss: 1.180317, acc: 0.203125] 11604: [discriminator loss: 0.556705, acc: 0.703125] [adversarial loss: 1.087706, acc: 0.296875] 11605: [discriminator loss: 0.576156, acc: 0.671875] [adversarial loss: 1.290079, acc: 0.156250] 11606: [discriminator loss: 0.579988, acc: 0.695312] [adversarial loss: 1.163142, acc: 0.281250] 11607: [discriminator loss: 0.573189, acc: 0.703125] [adversarial loss: 1.210249, acc: 0.250000] 11608: [discriminator loss: 0.545981, acc: 0.718750] [adversarial loss: 1.320765, acc: 0.156250] 11609: [discriminator loss: 0.505496, acc: 0.750000] [adversarial loss: 0.985806, acc: 0.375000] 11610: [discriminator loss: 0.548235, acc: 0.695312] [adversarial loss: 1.341572, acc: 0.250000] 11611: [discriminator loss: 0.597432, acc: 0.679688] [adversarial loss: 1.032886, acc: 0.406250] 11612: [discriminator loss: 0.526669, acc: 0.742188] [adversarial loss: 1.303687, acc: 0.187500] 11613: [discriminator loss: 0.578450, acc: 0.679688] [adversarial loss: 1.022825, acc: 0.312500] 11614: [discriminator loss: 0.532937, acc: 0.687500] [adversarial loss: 1.559708, acc: 0.093750] 11615: [discriminator loss: 0.473518, acc: 0.765625] [adversarial loss: 0.903200, acc: 0.390625] 11616: [discriminator loss: 0.463902, acc: 0.765625] [adversarial loss: 1.352304, acc: 0.171875] 11617: [discriminator loss: 0.597251, acc: 0.648438] [adversarial loss: 0.915536, acc: 0.468750] 11618: [discriminator loss: 0.503954, acc: 0.726562] [adversarial loss: 1.176622, acc: 0.234375] 11619: [discriminator loss: 0.542244, acc: 0.742188] [adversarial loss: 0.991542, acc: 0.343750] 11620: [discriminator loss: 0.508290, acc: 0.742188] [adversarial loss: 1.340497, acc: 0.140625] 11621: [discriminator loss: 0.573270, acc: 0.687500] [adversarial loss: 0.865455, acc: 0.484375] 11622: [discriminator loss: 0.673784, acc: 0.625000] [adversarial loss: 1.458230, acc: 0.140625] 11623: [discriminator loss: 0.653466, acc: 0.648438] [adversarial loss: 0.801435, acc: 0.515625] 11624: [discriminator loss: 0.567272, acc: 0.687500] [adversarial loss: 1.366789, acc: 0.218750] 11625: [discriminator loss: 0.569260, acc: 0.703125] [adversarial loss: 1.314578, acc: 0.234375] 11626: [discriminator loss: 0.566779, acc: 0.710938] [adversarial loss: 0.845058, acc: 0.453125] 11627: [discriminator loss: 0.499496, acc: 0.750000] [adversarial loss: 1.127691, acc: 0.281250] 11628: [discriminator loss: 0.551925, acc: 0.687500] [adversarial loss: 1.083780, acc: 0.296875] 11629: [discriminator loss: 0.506804, acc: 0.789062] [adversarial loss: 1.354554, acc: 0.203125] 11630: [discriminator loss: 0.604756, acc: 0.679688] [adversarial loss: 1.066721, acc: 0.265625] 11631: [discriminator loss: 0.519409, acc: 0.781250] [adversarial loss: 1.217754, acc: 0.203125] 11632: [discriminator loss: 0.501889, acc: 0.742188] [adversarial loss: 1.000238, acc: 0.390625] 11633: [discriminator loss: 0.560350, acc: 0.726562] [adversarial loss: 1.416123, acc: 0.093750] 11634: [discriminator loss: 0.719533, acc: 0.578125] [adversarial loss: 1.068083, acc: 0.265625] 11635: [discriminator loss: 0.529849, acc: 0.757812] [adversarial loss: 1.387709, acc: 0.109375] 11636: [discriminator loss: 0.535785, acc: 0.718750] [adversarial loss: 1.155027, acc: 0.234375] 11637: [discriminator loss: 0.493845, acc: 0.765625] [adversarial loss: 1.132169, acc: 0.281250] 11638: [discriminator loss: 0.521386, acc: 0.718750] [adversarial loss: 0.777796, acc: 0.437500] 11639: [discriminator loss: 0.669400, acc: 0.656250] [adversarial loss: 1.568949, acc: 0.062500] 11640: [discriminator loss: 0.538803, acc: 0.726562] [adversarial loss: 0.839121, acc: 0.468750] 11641: [discriminator loss: 0.569918, acc: 0.710938] [adversarial loss: 1.734647, acc: 0.125000] 11642: [discriminator loss: 0.597344, acc: 0.648438] [adversarial loss: 0.870705, acc: 0.390625] 11643: [discriminator loss: 0.668179, acc: 0.585938] [adversarial loss: 1.288078, acc: 0.171875] 11644: [discriminator loss: 0.531460, acc: 0.718750] [adversarial loss: 1.241450, acc: 0.250000] 11645: [discriminator loss: 0.526882, acc: 0.718750] [adversarial loss: 1.072520, acc: 0.265625] 11646: [discriminator loss: 0.503240, acc: 0.765625] [adversarial loss: 1.348861, acc: 0.156250] 11647: [discriminator loss: 0.551354, acc: 0.679688] [adversarial loss: 0.840366, acc: 0.406250] 11648: [discriminator loss: 0.556442, acc: 0.718750] [adversarial loss: 1.227171, acc: 0.203125] 11649: [discriminator loss: 0.537890, acc: 0.742188] [adversarial loss: 1.123207, acc: 0.328125] 11650: [discriminator loss: 0.535308, acc: 0.757812] [adversarial loss: 1.285388, acc: 0.171875] 11651: [discriminator loss: 0.476160, acc: 0.757812] [adversarial loss: 1.029651, acc: 0.390625] 11652: [discriminator loss: 0.580048, acc: 0.695312] [adversarial loss: 1.346689, acc: 0.203125] 11653: [discriminator loss: 0.547820, acc: 0.687500] [adversarial loss: 0.827574, acc: 0.437500] 11654: [discriminator loss: 0.513612, acc: 0.781250] [adversarial loss: 1.285191, acc: 0.234375] 11655: [discriminator loss: 0.531140, acc: 0.703125] [adversarial loss: 1.033774, acc: 0.343750] 11656: [discriminator loss: 0.510807, acc: 0.742188] [adversarial loss: 1.398486, acc: 0.203125] 11657: [discriminator loss: 0.516531, acc: 0.734375] [adversarial loss: 0.963903, acc: 0.421875] 11658: [discriminator loss: 0.591071, acc: 0.718750] [adversarial loss: 1.514500, acc: 0.140625] 11659: [discriminator loss: 0.524288, acc: 0.742188] [adversarial loss: 1.191379, acc: 0.265625] 11660: [discriminator loss: 0.573143, acc: 0.703125] [adversarial loss: 1.177287, acc: 0.281250] 11661: [discriminator loss: 0.663350, acc: 0.625000] [adversarial loss: 1.034576, acc: 0.312500] 11662: [discriminator loss: 0.512436, acc: 0.750000] [adversarial loss: 1.489112, acc: 0.203125] 11663: [discriminator loss: 0.612077, acc: 0.679688] [adversarial loss: 0.884240, acc: 0.421875] 11664: [discriminator loss: 0.514515, acc: 0.750000] [adversarial loss: 1.159815, acc: 0.234375] 11665: [discriminator loss: 0.569686, acc: 0.671875] [adversarial loss: 1.281959, acc: 0.250000] 11666: [discriminator loss: 0.530587, acc: 0.750000] [adversarial loss: 1.081450, acc: 0.250000] 11667: [discriminator loss: 0.534029, acc: 0.750000] [adversarial loss: 1.438766, acc: 0.093750] 11668: [discriminator loss: 0.559997, acc: 0.679688] [adversarial loss: 0.714591, acc: 0.562500] 11669: [discriminator loss: 0.679061, acc: 0.632812] [adversarial loss: 1.619569, acc: 0.109375] 11670: [discriminator loss: 0.634246, acc: 0.656250] [adversarial loss: 0.738704, acc: 0.515625] 11671: [discriminator loss: 0.530252, acc: 0.718750] [adversarial loss: 1.578783, acc: 0.140625] 11672: [discriminator loss: 0.537223, acc: 0.742188] [adversarial loss: 1.116271, acc: 0.343750] 11673: [discriminator loss: 0.542171, acc: 0.726562] [adversarial loss: 1.139024, acc: 0.296875] 11674: [discriminator loss: 0.528198, acc: 0.804688] [adversarial loss: 1.057712, acc: 0.343750] 11675: [discriminator loss: 0.536856, acc: 0.742188] [adversarial loss: 1.276694, acc: 0.140625] 11676: [discriminator loss: 0.580675, acc: 0.664062] [adversarial loss: 1.049769, acc: 0.296875] 11677: [discriminator loss: 0.624240, acc: 0.703125] [adversarial loss: 1.485901, acc: 0.203125] 11678: [discriminator loss: 0.641026, acc: 0.617188] [adversarial loss: 0.826661, acc: 0.421875] 11679: [discriminator loss: 0.660712, acc: 0.617188] [adversarial loss: 1.437806, acc: 0.140625] 11680: [discriminator loss: 0.542835, acc: 0.742188] [adversarial loss: 0.946307, acc: 0.328125] 11681: [discriminator loss: 0.593911, acc: 0.703125] [adversarial loss: 1.556232, acc: 0.062500] 11682: [discriminator loss: 0.584662, acc: 0.710938] [adversarial loss: 1.056182, acc: 0.328125] 11683: [discriminator loss: 0.593011, acc: 0.671875] [adversarial loss: 1.363696, acc: 0.171875] 11684: [discriminator loss: 0.595332, acc: 0.718750] [adversarial loss: 1.027396, acc: 0.359375] 11685: [discriminator loss: 0.597036, acc: 0.671875] [adversarial loss: 1.282553, acc: 0.187500] 11686: [discriminator loss: 0.520238, acc: 0.710938] [adversarial loss: 1.227551, acc: 0.250000] 11687: [discriminator loss: 0.544091, acc: 0.703125] [adversarial loss: 1.381846, acc: 0.187500] 11688: [discriminator loss: 0.525421, acc: 0.742188] [adversarial loss: 0.901085, acc: 0.453125] 11689: [discriminator loss: 0.490234, acc: 0.695312] [adversarial loss: 1.477099, acc: 0.109375] 11690: [discriminator loss: 0.598040, acc: 0.695312] [adversarial loss: 0.856748, acc: 0.421875] 11691: [discriminator loss: 0.534968, acc: 0.703125] [adversarial loss: 1.308796, acc: 0.187500] 11692: [discriminator loss: 0.605937, acc: 0.726562] [adversarial loss: 1.099269, acc: 0.312500] 11693: [discriminator loss: 0.555704, acc: 0.742188] [adversarial loss: 1.354325, acc: 0.187500] 11694: [discriminator loss: 0.545183, acc: 0.703125] [adversarial loss: 1.132543, acc: 0.281250] 11695: [discriminator loss: 0.558281, acc: 0.718750] [adversarial loss: 1.303512, acc: 0.171875] 11696: [discriminator loss: 0.562051, acc: 0.710938] [adversarial loss: 1.032731, acc: 0.281250] 11697: [discriminator loss: 0.564971, acc: 0.718750] [adversarial loss: 1.186186, acc: 0.250000] 11698: [discriminator loss: 0.591069, acc: 0.695312] [adversarial loss: 1.105251, acc: 0.265625] 11699: [discriminator loss: 0.515118, acc: 0.773438] [adversarial loss: 1.157268, acc: 0.203125] 11700: [discriminator loss: 0.624417, acc: 0.718750] [adversarial loss: 1.391530, acc: 0.093750] 11701: [discriminator loss: 0.605418, acc: 0.625000] [adversarial loss: 1.124815, acc: 0.296875] 11702: [discriminator loss: 0.533762, acc: 0.734375] [adversarial loss: 1.238647, acc: 0.187500] 11703: [discriminator loss: 0.643600, acc: 0.593750] [adversarial loss: 1.050161, acc: 0.281250] 11704: [discriminator loss: 0.578986, acc: 0.687500] [adversarial loss: 1.201853, acc: 0.203125] 11705: [discriminator loss: 0.519494, acc: 0.718750] [adversarial loss: 1.353014, acc: 0.203125] 11706: [discriminator loss: 0.466020, acc: 0.781250] [adversarial loss: 0.946674, acc: 0.437500] 11707: [discriminator loss: 0.572166, acc: 0.710938] [adversarial loss: 1.423534, acc: 0.109375] 11708: [discriminator loss: 0.542364, acc: 0.710938] [adversarial loss: 0.787522, acc: 0.500000] 11709: [discriminator loss: 0.550799, acc: 0.734375] [adversarial loss: 1.353372, acc: 0.187500] 11710: [discriminator loss: 0.623113, acc: 0.664062] [adversarial loss: 0.905526, acc: 0.406250] 11711: [discriminator loss: 0.544763, acc: 0.742188] [adversarial loss: 1.475056, acc: 0.125000] 11712: [discriminator loss: 0.545195, acc: 0.695312] [adversarial loss: 0.936141, acc: 0.406250] 11713: [discriminator loss: 0.561298, acc: 0.742188] [adversarial loss: 1.183599, acc: 0.250000] 11714: [discriminator loss: 0.531678, acc: 0.781250] [adversarial loss: 1.282436, acc: 0.281250] 11715: [discriminator loss: 0.559841, acc: 0.726562] [adversarial loss: 1.167033, acc: 0.187500] 11716: [discriminator loss: 0.510294, acc: 0.750000] [adversarial loss: 0.827101, acc: 0.468750] 11717: [discriminator loss: 0.530426, acc: 0.742188] [adversarial loss: 1.417449, acc: 0.156250] 11718: [discriminator loss: 0.606883, acc: 0.679688] [adversarial loss: 0.854136, acc: 0.375000] 11719: [discriminator loss: 0.597801, acc: 0.710938] [adversarial loss: 1.430663, acc: 0.125000] 11720: [discriminator loss: 0.521888, acc: 0.710938] [adversarial loss: 0.859811, acc: 0.500000] 11721: [discriminator loss: 0.651050, acc: 0.656250] [adversarial loss: 1.539567, acc: 0.062500] 11722: [discriminator loss: 0.590071, acc: 0.687500] [adversarial loss: 0.836638, acc: 0.421875] 11723: [discriminator loss: 0.621989, acc: 0.656250] [adversarial loss: 1.674156, acc: 0.078125] 11724: [discriminator loss: 0.534291, acc: 0.687500] [adversarial loss: 0.783793, acc: 0.500000] 11725: [discriminator loss: 0.621272, acc: 0.664062] [adversarial loss: 1.708921, acc: 0.109375] 11726: [discriminator loss: 0.627447, acc: 0.609375] [adversarial loss: 1.077773, acc: 0.359375] 11727: [discriminator loss: 0.542261, acc: 0.750000] [adversarial loss: 1.281901, acc: 0.156250] 11728: [discriminator loss: 0.493915, acc: 0.765625] [adversarial loss: 1.200813, acc: 0.203125] 11729: [discriminator loss: 0.584997, acc: 0.679688] [adversarial loss: 1.109628, acc: 0.218750] 11730: [discriminator loss: 0.504555, acc: 0.742188] [adversarial loss: 1.298267, acc: 0.187500] 11731: [discriminator loss: 0.578793, acc: 0.632812] [adversarial loss: 1.026012, acc: 0.312500] 11732: [discriminator loss: 0.481002, acc: 0.765625] [adversarial loss: 1.172086, acc: 0.234375] 11733: [discriminator loss: 0.545878, acc: 0.679688] [adversarial loss: 0.959915, acc: 0.312500] 11734: [discriminator loss: 0.581673, acc: 0.710938] [adversarial loss: 1.165704, acc: 0.265625] 11735: [discriminator loss: 0.494796, acc: 0.726562] [adversarial loss: 1.162979, acc: 0.218750] 11736: [discriminator loss: 0.535592, acc: 0.750000] [adversarial loss: 1.250480, acc: 0.125000] 11737: [discriminator loss: 0.529989, acc: 0.757812] [adversarial loss: 0.924507, acc: 0.421875] 11738: [discriminator loss: 0.658893, acc: 0.664062] [adversarial loss: 1.581363, acc: 0.062500] 11739: [discriminator loss: 0.570850, acc: 0.679688] [adversarial loss: 1.112209, acc: 0.218750] 11740: [discriminator loss: 0.534091, acc: 0.742188] [adversarial loss: 1.459479, acc: 0.234375] 11741: [discriminator loss: 0.629894, acc: 0.632812] [adversarial loss: 0.692124, acc: 0.578125] 11742: [discriminator loss: 0.582534, acc: 0.710938] [adversarial loss: 1.850087, acc: 0.046875] 11743: [discriminator loss: 0.640474, acc: 0.609375] [adversarial loss: 0.788802, acc: 0.515625] 11744: [discriminator loss: 0.582171, acc: 0.718750] [adversarial loss: 1.285701, acc: 0.156250] 11745: [discriminator loss: 0.586678, acc: 0.703125] [adversarial loss: 1.253990, acc: 0.203125] 11746: [discriminator loss: 0.586518, acc: 0.640625] [adversarial loss: 1.172802, acc: 0.156250] 11747: [discriminator loss: 0.570012, acc: 0.757812] [adversarial loss: 1.055969, acc: 0.265625] 11748: [discriminator loss: 0.546110, acc: 0.726562] [adversarial loss: 1.592818, acc: 0.125000] 11749: [discriminator loss: 0.539488, acc: 0.710938] [adversarial loss: 0.934458, acc: 0.343750] 11750: [discriminator loss: 0.547338, acc: 0.703125] [adversarial loss: 1.203445, acc: 0.218750] 11751: [discriminator loss: 0.524590, acc: 0.718750] [adversarial loss: 1.017735, acc: 0.390625] 11752: [discriminator loss: 0.513029, acc: 0.742188] [adversarial loss: 1.314671, acc: 0.218750] 11753: [discriminator loss: 0.520475, acc: 0.695312] [adversarial loss: 0.988166, acc: 0.250000] 11754: [discriminator loss: 0.609379, acc: 0.679688] [adversarial loss: 1.795726, acc: 0.093750] 11755: [discriminator loss: 0.600827, acc: 0.640625] [adversarial loss: 0.793616, acc: 0.484375] 11756: [discriminator loss: 0.568762, acc: 0.742188] [adversarial loss: 1.393453, acc: 0.140625] 11757: [discriminator loss: 0.585925, acc: 0.648438] [adversarial loss: 0.991595, acc: 0.390625] 11758: [discriminator loss: 0.555523, acc: 0.781250] [adversarial loss: 1.315369, acc: 0.187500] 11759: [discriminator loss: 0.535306, acc: 0.695312] [adversarial loss: 1.032922, acc: 0.250000] 11760: [discriminator loss: 0.622295, acc: 0.718750] [adversarial loss: 1.381851, acc: 0.156250] 11761: [discriminator loss: 0.512498, acc: 0.757812] [adversarial loss: 0.960137, acc: 0.375000] 11762: [discriminator loss: 0.607424, acc: 0.679688] [adversarial loss: 1.034618, acc: 0.234375] 11763: [discriminator loss: 0.541854, acc: 0.718750] [adversarial loss: 1.135029, acc: 0.203125] 11764: [discriminator loss: 0.553640, acc: 0.703125] [adversarial loss: 1.273213, acc: 0.203125] 11765: [discriminator loss: 0.476686, acc: 0.773438] [adversarial loss: 1.036033, acc: 0.296875] 11766: [discriminator loss: 0.578249, acc: 0.710938] [adversarial loss: 1.021088, acc: 0.312500] 11767: [discriminator loss: 0.590759, acc: 0.640625] [adversarial loss: 1.152654, acc: 0.218750] 11768: [discriminator loss: 0.538876, acc: 0.726562] [adversarial loss: 1.224831, acc: 0.203125] 11769: [discriminator loss: 0.515552, acc: 0.742188] [adversarial loss: 1.282225, acc: 0.234375] 11770: [discriminator loss: 0.501915, acc: 0.750000] [adversarial loss: 1.134728, acc: 0.203125] 11771: [discriminator loss: 0.534184, acc: 0.726562] [adversarial loss: 1.316512, acc: 0.203125] 11772: [discriminator loss: 0.509772, acc: 0.781250] [adversarial loss: 1.255507, acc: 0.203125] 11773: [discriminator loss: 0.554720, acc: 0.734375] [adversarial loss: 0.977990, acc: 0.390625] 11774: [discriminator loss: 0.529796, acc: 0.734375] [adversarial loss: 1.387727, acc: 0.109375] 11775: [discriminator loss: 0.570027, acc: 0.656250] [adversarial loss: 1.151623, acc: 0.265625] 11776: [discriminator loss: 0.533733, acc: 0.687500] [adversarial loss: 1.278207, acc: 0.125000] 11777: [discriminator loss: 0.559379, acc: 0.703125] [adversarial loss: 1.092731, acc: 0.203125] 11778: [discriminator loss: 0.631559, acc: 0.625000] [adversarial loss: 1.255360, acc: 0.265625] 11779: [discriminator loss: 0.542130, acc: 0.703125] [adversarial loss: 1.271247, acc: 0.234375] 11780: [discriminator loss: 0.577230, acc: 0.750000] [adversarial loss: 1.348120, acc: 0.187500] 11781: [discriminator loss: 0.525885, acc: 0.742188] [adversarial loss: 1.033933, acc: 0.281250] 11782: [discriminator loss: 0.542157, acc: 0.695312] [adversarial loss: 1.791072, acc: 0.093750] 11783: [discriminator loss: 0.785523, acc: 0.554688] [adversarial loss: 0.760330, acc: 0.515625] 11784: [discriminator loss: 0.672318, acc: 0.625000] [adversarial loss: 1.490334, acc: 0.046875] 11785: [discriminator loss: 0.565387, acc: 0.742188] [adversarial loss: 0.960933, acc: 0.234375] 11786: [discriminator loss: 0.558487, acc: 0.695312] [adversarial loss: 1.256928, acc: 0.281250] 11787: [discriminator loss: 0.555380, acc: 0.695312] [adversarial loss: 1.136887, acc: 0.203125] 11788: [discriminator loss: 0.522277, acc: 0.773438] [adversarial loss: 1.237958, acc: 0.218750] 11789: [discriminator loss: 0.544664, acc: 0.773438] [adversarial loss: 1.093648, acc: 0.250000] 11790: [discriminator loss: 0.574087, acc: 0.703125] [adversarial loss: 1.328262, acc: 0.156250] 11791: [discriminator loss: 0.560730, acc: 0.718750] [adversarial loss: 1.127429, acc: 0.203125] 11792: [discriminator loss: 0.507600, acc: 0.742188] [adversarial loss: 1.019550, acc: 0.312500] 11793: [discriminator loss: 0.522980, acc: 0.742188] [adversarial loss: 1.248274, acc: 0.218750] 11794: [discriminator loss: 0.520903, acc: 0.734375] [adversarial loss: 0.971214, acc: 0.312500] 11795: [discriminator loss: 0.539374, acc: 0.734375] [adversarial loss: 1.330877, acc: 0.187500] 11796: [discriminator loss: 0.576189, acc: 0.671875] [adversarial loss: 1.062085, acc: 0.234375] 11797: [discriminator loss: 0.505763, acc: 0.750000] [adversarial loss: 1.124199, acc: 0.218750] 11798: [discriminator loss: 0.560699, acc: 0.664062] [adversarial loss: 1.282494, acc: 0.203125] 11799: [discriminator loss: 0.545912, acc: 0.734375] [adversarial loss: 0.697203, acc: 0.578125] 11800: [discriminator loss: 0.616925, acc: 0.625000] [adversarial loss: 1.671588, acc: 0.125000] 11801: [discriminator loss: 0.515034, acc: 0.781250] [adversarial loss: 0.919514, acc: 0.453125] 11802: [discriminator loss: 0.565202, acc: 0.710938] [adversarial loss: 1.678808, acc: 0.109375] 11803: [discriminator loss: 0.592964, acc: 0.710938] [adversarial loss: 0.849059, acc: 0.468750] 11804: [discriminator loss: 0.540866, acc: 0.773438] [adversarial loss: 1.444088, acc: 0.109375] 11805: [discriminator loss: 0.580826, acc: 0.695312] [adversarial loss: 0.899960, acc: 0.406250] 11806: [discriminator loss: 0.591111, acc: 0.718750] [adversarial loss: 1.347734, acc: 0.234375] 11807: [discriminator loss: 0.485963, acc: 0.765625] [adversarial loss: 0.965860, acc: 0.281250] 11808: [discriminator loss: 0.576203, acc: 0.703125] [adversarial loss: 0.989996, acc: 0.296875] 11809: [discriminator loss: 0.491758, acc: 0.781250] [adversarial loss: 1.144374, acc: 0.109375] 11810: [discriminator loss: 0.556581, acc: 0.671875] [adversarial loss: 1.152889, acc: 0.296875] 11811: [discriminator loss: 0.538052, acc: 0.734375] [adversarial loss: 1.241789, acc: 0.218750] 11812: [discriminator loss: 0.619597, acc: 0.687500] [adversarial loss: 1.101646, acc: 0.234375] 11813: [discriminator loss: 0.509177, acc: 0.789062] [adversarial loss: 0.880616, acc: 0.453125] 11814: [discriminator loss: 0.530274, acc: 0.765625] [adversarial loss: 1.093458, acc: 0.250000] 11815: [discriminator loss: 0.517745, acc: 0.695312] [adversarial loss: 1.308505, acc: 0.171875] 11816: [discriminator loss: 0.528214, acc: 0.757812] [adversarial loss: 0.911948, acc: 0.453125] 11817: [discriminator loss: 0.533448, acc: 0.742188] [adversarial loss: 1.363534, acc: 0.203125] 11818: [discriminator loss: 0.574934, acc: 0.671875] [adversarial loss: 0.591164, acc: 0.671875] 11819: [discriminator loss: 0.599340, acc: 0.640625] [adversarial loss: 1.491426, acc: 0.109375] 11820: [discriminator loss: 0.571297, acc: 0.726562] [adversarial loss: 0.801056, acc: 0.437500] 11821: [discriminator loss: 0.563729, acc: 0.679688] [adversarial loss: 1.373460, acc: 0.187500] 11822: [discriminator loss: 0.531458, acc: 0.718750] [adversarial loss: 1.153743, acc: 0.265625] 11823: [discriminator loss: 0.577697, acc: 0.671875] [adversarial loss: 0.992817, acc: 0.390625] 11824: [discriminator loss: 0.512652, acc: 0.757812] [adversarial loss: 1.423069, acc: 0.171875] 11825: [discriminator loss: 0.592337, acc: 0.632812] [adversarial loss: 0.893662, acc: 0.484375] 11826: [discriminator loss: 0.560034, acc: 0.718750] [adversarial loss: 1.391340, acc: 0.187500] 11827: [discriminator loss: 0.555809, acc: 0.679688] [adversarial loss: 1.008620, acc: 0.234375] 11828: [discriminator loss: 0.490476, acc: 0.796875] [adversarial loss: 1.277771, acc: 0.171875] 11829: [discriminator loss: 0.582133, acc: 0.703125] [adversarial loss: 0.870856, acc: 0.406250] 11830: [discriminator loss: 0.531152, acc: 0.789062] [adversarial loss: 1.372736, acc: 0.296875] 11831: [discriminator loss: 0.628864, acc: 0.671875] [adversarial loss: 0.960418, acc: 0.421875] 11832: [discriminator loss: 0.546512, acc: 0.695312] [adversarial loss: 1.364008, acc: 0.140625] 11833: [discriminator loss: 0.580586, acc: 0.695312] [adversarial loss: 1.061024, acc: 0.296875] 11834: [discriminator loss: 0.527213, acc: 0.742188] [adversarial loss: 1.189598, acc: 0.140625] 11835: [discriminator loss: 0.562439, acc: 0.687500] [adversarial loss: 1.135283, acc: 0.234375] 11836: [discriminator loss: 0.483037, acc: 0.789062] [adversarial loss: 1.030348, acc: 0.328125] 11837: [discriminator loss: 0.474156, acc: 0.773438] [adversarial loss: 1.441173, acc: 0.109375] 11838: [discriminator loss: 0.557051, acc: 0.695312] [adversarial loss: 1.193278, acc: 0.296875] 11839: [discriminator loss: 0.499743, acc: 0.757812] [adversarial loss: 1.010368, acc: 0.406250] 11840: [discriminator loss: 0.604640, acc: 0.679688] [adversarial loss: 1.269457, acc: 0.203125] 11841: [discriminator loss: 0.581541, acc: 0.679688] [adversarial loss: 0.834891, acc: 0.515625] 11842: [discriminator loss: 0.611525, acc: 0.695312] [adversarial loss: 1.595513, acc: 0.125000] 11843: [discriminator loss: 0.567657, acc: 0.648438] [adversarial loss: 0.607540, acc: 0.609375] 11844: [discriminator loss: 0.570315, acc: 0.687500] [adversarial loss: 1.637404, acc: 0.078125] 11845: [discriminator loss: 0.539800, acc: 0.687500] [adversarial loss: 0.879168, acc: 0.500000] 11846: [discriminator loss: 0.602044, acc: 0.648438] [adversarial loss: 1.328437, acc: 0.187500] 11847: [discriminator loss: 0.497418, acc: 0.765625] [adversarial loss: 0.907699, acc: 0.406250] 11848: [discriminator loss: 0.575073, acc: 0.679688] [adversarial loss: 1.607886, acc: 0.093750] 11849: [discriminator loss: 0.519608, acc: 0.703125] [adversarial loss: 0.984982, acc: 0.312500] 11850: [discriminator loss: 0.553294, acc: 0.687500] [adversarial loss: 1.429309, acc: 0.156250] 11851: [discriminator loss: 0.571035, acc: 0.703125] [adversarial loss: 0.941630, acc: 0.453125] 11852: [discriminator loss: 0.562263, acc: 0.718750] [adversarial loss: 1.470953, acc: 0.093750] 11853: [discriminator loss: 0.590557, acc: 0.625000] [adversarial loss: 0.924166, acc: 0.359375] 11854: [discriminator loss: 0.552907, acc: 0.718750] [adversarial loss: 1.240416, acc: 0.156250] 11855: [discriminator loss: 0.610927, acc: 0.632812] [adversarial loss: 1.047515, acc: 0.390625] 11856: [discriminator loss: 0.539417, acc: 0.695312] [adversarial loss: 0.967483, acc: 0.390625] 11857: [discriminator loss: 0.521975, acc: 0.710938] [adversarial loss: 1.216713, acc: 0.234375] 11858: [discriminator loss: 0.570272, acc: 0.718750] [adversarial loss: 1.297142, acc: 0.140625] 11859: [discriminator loss: 0.578743, acc: 0.656250] [adversarial loss: 1.024630, acc: 0.406250] 11860: [discriminator loss: 0.599321, acc: 0.695312] [adversarial loss: 1.705377, acc: 0.078125] 11861: [discriminator loss: 0.593136, acc: 0.710938] [adversarial loss: 0.947564, acc: 0.375000] 11862: [discriminator loss: 0.575543, acc: 0.710938] [adversarial loss: 1.386995, acc: 0.078125] 11863: [discriminator loss: 0.558175, acc: 0.695312] [adversarial loss: 0.886026, acc: 0.453125] 11864: [discriminator loss: 0.552285, acc: 0.726562] [adversarial loss: 1.588761, acc: 0.093750] 11865: [discriminator loss: 0.556830, acc: 0.710938] [adversarial loss: 0.908868, acc: 0.390625] 11866: [discriminator loss: 0.670172, acc: 0.617188] [adversarial loss: 1.606200, acc: 0.031250] 11867: [discriminator loss: 0.550592, acc: 0.726562] [adversarial loss: 0.891827, acc: 0.484375] 11868: [discriminator loss: 0.505065, acc: 0.757812] [adversarial loss: 1.406676, acc: 0.140625] 11869: [discriminator loss: 0.543661, acc: 0.695312] [adversarial loss: 1.214191, acc: 0.171875] 11870: [discriminator loss: 0.514593, acc: 0.742188] [adversarial loss: 1.258396, acc: 0.187500] 11871: [discriminator loss: 0.511730, acc: 0.750000] [adversarial loss: 0.990078, acc: 0.296875] 11872: [discriminator loss: 0.543158, acc: 0.695312] [adversarial loss: 1.490868, acc: 0.078125] 11873: [discriminator loss: 0.556214, acc: 0.726562] [adversarial loss: 1.084283, acc: 0.343750] 11874: [discriminator loss: 0.579620, acc: 0.703125] [adversarial loss: 1.401500, acc: 0.125000] 11875: [discriminator loss: 0.567243, acc: 0.710938] [adversarial loss: 0.900210, acc: 0.406250] 11876: [discriminator loss: 0.601449, acc: 0.632812] [adversarial loss: 1.370658, acc: 0.125000] 11877: [discriminator loss: 0.567367, acc: 0.664062] [adversarial loss: 1.077010, acc: 0.328125] 11878: [discriminator loss: 0.540102, acc: 0.765625] [adversarial loss: 1.448879, acc: 0.125000] 11879: [discriminator loss: 0.545182, acc: 0.726562] [adversarial loss: 0.943157, acc: 0.484375] 11880: [discriminator loss: 0.597088, acc: 0.703125] [adversarial loss: 1.296968, acc: 0.250000] 11881: [discriminator loss: 0.485712, acc: 0.757812] [adversarial loss: 0.876990, acc: 0.500000] 11882: [discriminator loss: 0.534955, acc: 0.718750] [adversarial loss: 1.374888, acc: 0.187500] 11883: [discriminator loss: 0.577254, acc: 0.671875] [adversarial loss: 1.226449, acc: 0.203125] 11884: [discriminator loss: 0.566889, acc: 0.757812] [adversarial loss: 1.329935, acc: 0.140625] 11885: [discriminator loss: 0.519786, acc: 0.710938] [adversarial loss: 1.068402, acc: 0.312500] 11886: [discriminator loss: 0.483367, acc: 0.789062] [adversarial loss: 0.956124, acc: 0.328125] 11887: [discriminator loss: 0.492679, acc: 0.757812] [adversarial loss: 1.546432, acc: 0.140625] 11888: [discriminator loss: 0.542624, acc: 0.695312] [adversarial loss: 0.995891, acc: 0.343750] 11889: [discriminator loss: 0.552210, acc: 0.750000] [adversarial loss: 1.349550, acc: 0.109375] 11890: [discriminator loss: 0.558755, acc: 0.726562] [adversarial loss: 0.881886, acc: 0.453125] 11891: [discriminator loss: 0.508578, acc: 0.734375] [adversarial loss: 1.540116, acc: 0.062500] 11892: [discriminator loss: 0.456495, acc: 0.804688] [adversarial loss: 1.079943, acc: 0.296875] 11893: [discriminator loss: 0.554053, acc: 0.718750] [adversarial loss: 1.450284, acc: 0.156250] 11894: [discriminator loss: 0.445221, acc: 0.796875] [adversarial loss: 1.045199, acc: 0.328125] 11895: [discriminator loss: 0.618004, acc: 0.710938] [adversarial loss: 1.191042, acc: 0.203125] 11896: [discriminator loss: 0.520711, acc: 0.750000] [adversarial loss: 1.034958, acc: 0.437500] 11897: [discriminator loss: 0.507374, acc: 0.742188] [adversarial loss: 1.744589, acc: 0.078125] 11898: [discriminator loss: 0.590709, acc: 0.679688] [adversarial loss: 0.954128, acc: 0.359375] 11899: [discriminator loss: 0.594435, acc: 0.703125] [adversarial loss: 1.240780, acc: 0.187500] 11900: [discriminator loss: 0.593946, acc: 0.710938] [adversarial loss: 1.042069, acc: 0.296875] 11901: [discriminator loss: 0.610289, acc: 0.703125] [adversarial loss: 1.430974, acc: 0.109375] 11902: [discriminator loss: 0.614053, acc: 0.671875] [adversarial loss: 0.960795, acc: 0.421875] 11903: [discriminator loss: 0.587343, acc: 0.679688] [adversarial loss: 1.587682, acc: 0.078125] 11904: [discriminator loss: 0.584739, acc: 0.703125] [adversarial loss: 0.860756, acc: 0.359375] 11905: [discriminator loss: 0.586012, acc: 0.687500] [adversarial loss: 1.387800, acc: 0.125000] 11906: [discriminator loss: 0.555660, acc: 0.703125] [adversarial loss: 0.789762, acc: 0.500000] 11907: [discriminator loss: 0.580855, acc: 0.687500] [adversarial loss: 1.375856, acc: 0.171875] 11908: [discriminator loss: 0.607761, acc: 0.617188] [adversarial loss: 1.193887, acc: 0.203125] 11909: [discriminator loss: 0.536362, acc: 0.726562] [adversarial loss: 1.025353, acc: 0.359375] 11910: [discriminator loss: 0.520128, acc: 0.750000] [adversarial loss: 1.244025, acc: 0.203125] 11911: [discriminator loss: 0.515592, acc: 0.742188] [adversarial loss: 1.132877, acc: 0.281250] 11912: [discriminator loss: 0.581457, acc: 0.679688] [adversarial loss: 1.207035, acc: 0.156250] 11913: [discriminator loss: 0.571319, acc: 0.718750] [adversarial loss: 1.125743, acc: 0.234375] 11914: [discriminator loss: 0.592661, acc: 0.671875] [adversarial loss: 1.043304, acc: 0.328125] 11915: [discriminator loss: 0.491926, acc: 0.742188] [adversarial loss: 1.003202, acc: 0.328125] 11916: [discriminator loss: 0.540970, acc: 0.718750] [adversarial loss: 1.337225, acc: 0.171875] 11917: [discriminator loss: 0.507908, acc: 0.750000] [adversarial loss: 1.121926, acc: 0.328125] 11918: [discriminator loss: 0.537160, acc: 0.726562] [adversarial loss: 1.314548, acc: 0.218750] 11919: [discriminator loss: 0.490082, acc: 0.765625] [adversarial loss: 1.129762, acc: 0.265625] 11920: [discriminator loss: 0.540735, acc: 0.742188] [adversarial loss: 1.455892, acc: 0.171875] 11921: [discriminator loss: 0.629350, acc: 0.656250] [adversarial loss: 0.998818, acc: 0.406250] 11922: [discriminator loss: 0.550002, acc: 0.734375] [adversarial loss: 1.507445, acc: 0.125000] 11923: [discriminator loss: 0.519030, acc: 0.718750] [adversarial loss: 0.916387, acc: 0.375000] 11924: [discriminator loss: 0.532981, acc: 0.726562] [adversarial loss: 1.156675, acc: 0.218750] 11925: [discriminator loss: 0.524320, acc: 0.757812] [adversarial loss: 0.917698, acc: 0.406250] 11926: [discriminator loss: 0.553498, acc: 0.750000] [adversarial loss: 1.128071, acc: 0.218750] 11927: [discriminator loss: 0.542334, acc: 0.718750] [adversarial loss: 0.961968, acc: 0.390625] 11928: [discriminator loss: 0.670147, acc: 0.601562] [adversarial loss: 1.373889, acc: 0.140625] 11929: [discriminator loss: 0.514699, acc: 0.703125] [adversarial loss: 0.933936, acc: 0.328125] 11930: [discriminator loss: 0.550785, acc: 0.695312] [adversarial loss: 1.186494, acc: 0.203125] 11931: [discriminator loss: 0.548210, acc: 0.734375] [adversarial loss: 0.915149, acc: 0.500000] 11932: [discriminator loss: 0.613790, acc: 0.601562] [adversarial loss: 1.800544, acc: 0.062500] 11933: [discriminator loss: 0.589910, acc: 0.710938] [adversarial loss: 0.859500, acc: 0.468750] 11934: [discriminator loss: 0.631724, acc: 0.664062] [adversarial loss: 1.392649, acc: 0.140625] 11935: [discriminator loss: 0.568972, acc: 0.710938] [adversarial loss: 0.941277, acc: 0.312500] 11936: [discriminator loss: 0.553010, acc: 0.765625] [adversarial loss: 1.210519, acc: 0.265625] 11937: [discriminator loss: 0.547719, acc: 0.765625] [adversarial loss: 0.869930, acc: 0.406250] 11938: [discriminator loss: 0.573599, acc: 0.710938] [adversarial loss: 1.160734, acc: 0.218750] 11939: [discriminator loss: 0.572328, acc: 0.664062] [adversarial loss: 1.190681, acc: 0.281250] 11940: [discriminator loss: 0.439348, acc: 0.804688] [adversarial loss: 0.864942, acc: 0.500000] 11941: [discriminator loss: 0.570325, acc: 0.656250] [adversarial loss: 1.487525, acc: 0.109375] 11942: [discriminator loss: 0.604867, acc: 0.742188] [adversarial loss: 1.107917, acc: 0.281250] 11943: [discriminator loss: 0.577264, acc: 0.687500] [adversarial loss: 1.391859, acc: 0.218750] 11944: [discriminator loss: 0.486704, acc: 0.750000] [adversarial loss: 1.115414, acc: 0.343750] 11945: [discriminator loss: 0.510656, acc: 0.703125] [adversarial loss: 0.935057, acc: 0.390625] 11946: [discriminator loss: 0.578445, acc: 0.687500] [adversarial loss: 1.301894, acc: 0.250000] 11947: [discriminator loss: 0.625798, acc: 0.625000] [adversarial loss: 0.762285, acc: 0.500000] 11948: [discriminator loss: 0.501906, acc: 0.734375] [adversarial loss: 1.597647, acc: 0.109375] 11949: [discriminator loss: 0.543208, acc: 0.726562] [adversarial loss: 0.980619, acc: 0.390625] 11950: [discriminator loss: 0.555812, acc: 0.671875] [adversarial loss: 1.616830, acc: 0.078125] 11951: [discriminator loss: 0.526271, acc: 0.710938] [adversarial loss: 0.786567, acc: 0.531250] 11952: [discriminator loss: 0.543636, acc: 0.757812] [adversarial loss: 1.479627, acc: 0.125000] 11953: [discriminator loss: 0.621570, acc: 0.640625] [adversarial loss: 1.080894, acc: 0.359375] 11954: [discriminator loss: 0.594254, acc: 0.617188] [adversarial loss: 1.254848, acc: 0.250000] 11955: [discriminator loss: 0.550871, acc: 0.664062] [adversarial loss: 0.977959, acc: 0.390625] 11956: [discriminator loss: 0.579672, acc: 0.664062] [adversarial loss: 1.522724, acc: 0.140625] 11957: [discriminator loss: 0.546990, acc: 0.695312] [adversarial loss: 0.778164, acc: 0.546875] 11958: [discriminator loss: 0.597746, acc: 0.742188] [adversarial loss: 1.551097, acc: 0.140625] 11959: [discriminator loss: 0.559062, acc: 0.671875] [adversarial loss: 0.890439, acc: 0.453125] 11960: [discriminator loss: 0.506125, acc: 0.710938] [adversarial loss: 1.472998, acc: 0.140625] 11961: [discriminator loss: 0.535992, acc: 0.734375] [adversarial loss: 0.794338, acc: 0.515625] 11962: [discriminator loss: 0.540934, acc: 0.695312] [adversarial loss: 1.519559, acc: 0.109375] 11963: [discriminator loss: 0.561060, acc: 0.671875] [adversarial loss: 0.885156, acc: 0.453125] 11964: [discriminator loss: 0.602321, acc: 0.648438] [adversarial loss: 1.536504, acc: 0.109375] 11965: [discriminator loss: 0.623567, acc: 0.679688] [adversarial loss: 1.094555, acc: 0.343750] 11966: [discriminator loss: 0.534236, acc: 0.765625] [adversarial loss: 1.252343, acc: 0.218750] 11967: [discriminator loss: 0.547927, acc: 0.695312] [adversarial loss: 1.084956, acc: 0.296875] 11968: [discriminator loss: 0.582181, acc: 0.695312] [adversarial loss: 1.360966, acc: 0.093750] 11969: [discriminator loss: 0.563628, acc: 0.679688] [adversarial loss: 0.906492, acc: 0.437500] 11970: [discriminator loss: 0.471306, acc: 0.781250] [adversarial loss: 1.621549, acc: 0.078125] 11971: [discriminator loss: 0.588320, acc: 0.648438] [adversarial loss: 1.161852, acc: 0.312500] 11972: [discriminator loss: 0.592904, acc: 0.687500] [adversarial loss: 1.212633, acc: 0.234375] 11973: [discriminator loss: 0.535033, acc: 0.742188] [adversarial loss: 1.013363, acc: 0.296875] 11974: [discriminator loss: 0.548030, acc: 0.703125] [adversarial loss: 1.378675, acc: 0.250000] 11975: [discriminator loss: 0.574443, acc: 0.695312] [adversarial loss: 0.847956, acc: 0.437500] 11976: [discriminator loss: 0.495099, acc: 0.789062] [adversarial loss: 1.215404, acc: 0.187500] 11977: [discriminator loss: 0.561946, acc: 0.648438] [adversarial loss: 0.845440, acc: 0.500000] 11978: [discriminator loss: 0.548644, acc: 0.687500] [adversarial loss: 1.486677, acc: 0.156250] 11979: [discriminator loss: 0.557094, acc: 0.726562] [adversarial loss: 0.691971, acc: 0.546875] 11980: [discriminator loss: 0.546308, acc: 0.750000] [adversarial loss: 1.648493, acc: 0.046875] 11981: [discriminator loss: 0.591998, acc: 0.664062] [adversarial loss: 0.943814, acc: 0.375000] 11982: [discriminator loss: 0.608489, acc: 0.648438] [adversarial loss: 1.123362, acc: 0.265625] 11983: [discriminator loss: 0.590471, acc: 0.656250] [adversarial loss: 0.956291, acc: 0.375000] 11984: [discriminator loss: 0.500127, acc: 0.750000] [adversarial loss: 1.348750, acc: 0.187500] 11985: [discriminator loss: 0.589805, acc: 0.640625] [adversarial loss: 1.258423, acc: 0.250000] 11986: [discriminator loss: 0.506654, acc: 0.773438] [adversarial loss: 1.316364, acc: 0.203125] 11987: [discriminator loss: 0.510442, acc: 0.742188] [adversarial loss: 1.370569, acc: 0.234375] 11988: [discriminator loss: 0.583858, acc: 0.695312] [adversarial loss: 0.928962, acc: 0.406250] 11989: [discriminator loss: 0.621165, acc: 0.640625] [adversarial loss: 1.297014, acc: 0.250000] 11990: [discriminator loss: 0.513886, acc: 0.742188] [adversarial loss: 1.150007, acc: 0.203125] 11991: [discriminator loss: 0.547138, acc: 0.750000] [adversarial loss: 1.378345, acc: 0.156250] 11992: [discriminator loss: 0.484827, acc: 0.781250] [adversarial loss: 0.788234, acc: 0.546875] 11993: [discriminator loss: 0.598993, acc: 0.687500] [adversarial loss: 1.505304, acc: 0.109375] 11994: [discriminator loss: 0.562661, acc: 0.656250] [adversarial loss: 0.798124, acc: 0.484375] 11995: [discriminator loss: 0.584392, acc: 0.750000] [adversarial loss: 1.315841, acc: 0.187500] 11996: [discriminator loss: 0.521775, acc: 0.710938] [adversarial loss: 1.082896, acc: 0.281250] 11997: [discriminator loss: 0.515599, acc: 0.789062] [adversarial loss: 1.326621, acc: 0.250000] 11998: [discriminator loss: 0.603849, acc: 0.695312] [adversarial loss: 1.201721, acc: 0.234375] 11999: [discriminator loss: 0.477384, acc: 0.765625] [adversarial loss: 1.363152, acc: 0.171875] 12000: [discriminator loss: 0.565474, acc: 0.703125] [adversarial loss: 1.049156, acc: 0.343750] 12001: [discriminator loss: 0.513283, acc: 0.757812] [adversarial loss: 1.414737, acc: 0.156250] 12002: [discriminator loss: 0.508224, acc: 0.781250] [adversarial loss: 1.131218, acc: 0.265625] 12003: [discriminator loss: 0.495975, acc: 0.773438] [adversarial loss: 1.619754, acc: 0.078125] 12004: [discriminator loss: 0.552632, acc: 0.687500] [adversarial loss: 0.887496, acc: 0.500000] 12005: [discriminator loss: 0.577971, acc: 0.734375] [adversarial loss: 1.665319, acc: 0.093750] 12006: [discriminator loss: 0.586427, acc: 0.695312] [adversarial loss: 0.760293, acc: 0.515625] 12007: [discriminator loss: 0.576051, acc: 0.718750] [adversarial loss: 1.468474, acc: 0.156250] 12008: [discriminator loss: 0.570065, acc: 0.695312] [adversarial loss: 0.952112, acc: 0.359375] 12009: [discriminator loss: 0.542122, acc: 0.742188] [adversarial loss: 1.296561, acc: 0.218750] 12010: [discriminator loss: 0.463214, acc: 0.773438] [adversarial loss: 1.016343, acc: 0.343750] 12011: [discriminator loss: 0.523208, acc: 0.726562] [adversarial loss: 1.152204, acc: 0.250000] 12012: [discriminator loss: 0.511788, acc: 0.781250] [adversarial loss: 1.364415, acc: 0.187500] 12013: [discriminator loss: 0.529801, acc: 0.726562] [adversarial loss: 0.919303, acc: 0.406250] 12014: [discriminator loss: 0.548390, acc: 0.734375] [adversarial loss: 1.358539, acc: 0.156250] 12015: [discriminator loss: 0.561315, acc: 0.679688] [adversarial loss: 0.940651, acc: 0.421875] 12016: [discriminator loss: 0.546032, acc: 0.679688] [adversarial loss: 1.724578, acc: 0.093750] 12017: [discriminator loss: 0.542781, acc: 0.734375] [adversarial loss: 0.709660, acc: 0.562500] 12018: [discriminator loss: 0.581233, acc: 0.671875] [adversarial loss: 1.484811, acc: 0.156250] 12019: [discriminator loss: 0.626539, acc: 0.648438] [adversarial loss: 0.949685, acc: 0.390625] 12020: [discriminator loss: 0.501434, acc: 0.742188] [adversarial loss: 1.374217, acc: 0.234375] 12021: [discriminator loss: 0.515260, acc: 0.765625] [adversarial loss: 1.161402, acc: 0.234375] 12022: [discriminator loss: 0.535218, acc: 0.750000] [adversarial loss: 1.012602, acc: 0.343750] 12023: [discriminator loss: 0.570215, acc: 0.703125] [adversarial loss: 1.224916, acc: 0.171875] 12024: [discriminator loss: 0.517906, acc: 0.710938] [adversarial loss: 1.170197, acc: 0.265625] 12025: [discriminator loss: 0.551092, acc: 0.703125] [adversarial loss: 1.151039, acc: 0.265625] 12026: [discriminator loss: 0.594095, acc: 0.640625] [adversarial loss: 1.308635, acc: 0.281250] 12027: [discriminator loss: 0.550936, acc: 0.726562] [adversarial loss: 1.285064, acc: 0.187500] 12028: [discriminator loss: 0.533967, acc: 0.703125] [adversarial loss: 1.151514, acc: 0.265625] 12029: [discriminator loss: 0.549133, acc: 0.734375] [adversarial loss: 1.278479, acc: 0.218750] 12030: [discriminator loss: 0.521504, acc: 0.734375] [adversarial loss: 0.881807, acc: 0.468750] 12031: [discriminator loss: 0.469278, acc: 0.796875] [adversarial loss: 1.437391, acc: 0.140625] 12032: [discriminator loss: 0.521601, acc: 0.734375] [adversarial loss: 0.846582, acc: 0.437500] 12033: [discriminator loss: 0.565475, acc: 0.664062] [adversarial loss: 1.671939, acc: 0.078125] 12034: [discriminator loss: 0.535428, acc: 0.703125] [adversarial loss: 0.815820, acc: 0.484375] 12035: [discriminator loss: 0.569413, acc: 0.710938] [adversarial loss: 1.288510, acc: 0.187500] 12036: [discriminator loss: 0.516045, acc: 0.765625] [adversarial loss: 1.036989, acc: 0.375000] 12037: [discriminator loss: 0.644471, acc: 0.664062] [adversarial loss: 1.371807, acc: 0.140625] 12038: [discriminator loss: 0.515599, acc: 0.703125] [adversarial loss: 1.316985, acc: 0.171875] 12039: [discriminator loss: 0.567868, acc: 0.695312] [adversarial loss: 1.167923, acc: 0.296875] 12040: [discriminator loss: 0.534865, acc: 0.742188] [adversarial loss: 1.435394, acc: 0.218750] 12041: [discriminator loss: 0.488175, acc: 0.796875] [adversarial loss: 1.133837, acc: 0.359375] 12042: [discriminator loss: 0.581513, acc: 0.656250] [adversarial loss: 1.630233, acc: 0.125000] 12043: [discriminator loss: 0.589406, acc: 0.671875] [adversarial loss: 0.798179, acc: 0.453125] 12044: [discriminator loss: 0.637729, acc: 0.632812] [adversarial loss: 1.596828, acc: 0.156250] 12045: [discriminator loss: 0.572045, acc: 0.656250] [adversarial loss: 0.963253, acc: 0.437500] 12046: [discriminator loss: 0.595013, acc: 0.656250] [adversarial loss: 1.447441, acc: 0.125000] 12047: [discriminator loss: 0.529687, acc: 0.695312] [adversarial loss: 1.046363, acc: 0.328125] 12048: [discriminator loss: 0.563460, acc: 0.695312] [adversarial loss: 1.198217, acc: 0.234375] 12049: [discriminator loss: 0.556502, acc: 0.703125] [adversarial loss: 0.890245, acc: 0.390625] 12050: [discriminator loss: 0.593646, acc: 0.703125] [adversarial loss: 1.441445, acc: 0.171875] 12051: [discriminator loss: 0.637242, acc: 0.648438] [adversarial loss: 1.089212, acc: 0.296875] 12052: [discriminator loss: 0.527237, acc: 0.687500] [adversarial loss: 1.268955, acc: 0.218750] 12053: [discriminator loss: 0.609850, acc: 0.632812] [adversarial loss: 0.968381, acc: 0.421875] 12054: [discriminator loss: 0.612059, acc: 0.671875] [adversarial loss: 1.256521, acc: 0.234375] 12055: [discriminator loss: 0.594496, acc: 0.664062] [adversarial loss: 0.955357, acc: 0.406250] 12056: [discriminator loss: 0.598241, acc: 0.671875] [adversarial loss: 1.303357, acc: 0.187500] 12057: [discriminator loss: 0.587897, acc: 0.664062] [adversarial loss: 0.893857, acc: 0.406250] 12058: [discriminator loss: 0.486154, acc: 0.750000] [adversarial loss: 1.585611, acc: 0.156250] 12059: [discriminator loss: 0.564843, acc: 0.703125] [adversarial loss: 0.910835, acc: 0.375000] 12060: [discriminator loss: 0.587025, acc: 0.718750] [adversarial loss: 1.283800, acc: 0.250000] 12061: [discriminator loss: 0.535125, acc: 0.671875] [adversarial loss: 1.068962, acc: 0.265625] 12062: [discriminator loss: 0.541575, acc: 0.742188] [adversarial loss: 1.136893, acc: 0.296875] 12063: [discriminator loss: 0.582229, acc: 0.695312] [adversarial loss: 1.071248, acc: 0.265625] 12064: [discriminator loss: 0.507063, acc: 0.750000] [adversarial loss: 1.506444, acc: 0.093750] 12065: [discriminator loss: 0.531140, acc: 0.757812] [adversarial loss: 0.892606, acc: 0.437500] 12066: [discriminator loss: 0.526823, acc: 0.750000] [adversarial loss: 1.311110, acc: 0.203125] 12067: [discriminator loss: 0.513997, acc: 0.742188] [adversarial loss: 1.272771, acc: 0.171875] 12068: [discriminator loss: 0.541027, acc: 0.726562] [adversarial loss: 0.963933, acc: 0.390625] 12069: [discriminator loss: 0.503905, acc: 0.789062] [adversarial loss: 1.322663, acc: 0.187500] 12070: [discriminator loss: 0.569382, acc: 0.664062] [adversarial loss: 1.186097, acc: 0.234375] 12071: [discriminator loss: 0.548563, acc: 0.695312] [adversarial loss: 1.236859, acc: 0.250000] 12072: [discriminator loss: 0.601779, acc: 0.679688] [adversarial loss: 0.943436, acc: 0.406250] 12073: [discriminator loss: 0.556918, acc: 0.703125] [adversarial loss: 1.351355, acc: 0.171875] 12074: [discriminator loss: 0.569110, acc: 0.640625] [adversarial loss: 0.979574, acc: 0.343750] 12075: [discriminator loss: 0.520260, acc: 0.742188] [adversarial loss: 1.307361, acc: 0.234375] 12076: [discriminator loss: 0.546721, acc: 0.687500] [adversarial loss: 1.050977, acc: 0.296875] 12077: [discriminator loss: 0.516952, acc: 0.750000] [adversarial loss: 1.463116, acc: 0.187500] 12078: [discriminator loss: 0.597969, acc: 0.664062] [adversarial loss: 0.886723, acc: 0.437500] 12079: [discriminator loss: 0.527444, acc: 0.757812] [adversarial loss: 1.399312, acc: 0.171875] 12080: [discriminator loss: 0.612757, acc: 0.679688] [adversarial loss: 0.917558, acc: 0.468750] 12081: [discriminator loss: 0.594589, acc: 0.671875] [adversarial loss: 1.464908, acc: 0.078125] 12082: [discriminator loss: 0.527075, acc: 0.710938] [adversarial loss: 0.850201, acc: 0.515625] 12083: [discriminator loss: 0.585343, acc: 0.648438] [adversarial loss: 1.614588, acc: 0.093750] 12084: [discriminator loss: 0.666595, acc: 0.656250] [adversarial loss: 0.861778, acc: 0.484375] 12085: [discriminator loss: 0.601040, acc: 0.679688] [adversarial loss: 1.349379, acc: 0.156250] 12086: [discriminator loss: 0.529274, acc: 0.742188] [adversarial loss: 1.010707, acc: 0.343750] 12087: [discriminator loss: 0.644301, acc: 0.648438] [adversarial loss: 1.447347, acc: 0.109375] 12088: [discriminator loss: 0.575616, acc: 0.710938] [adversarial loss: 0.788133, acc: 0.453125] 12089: [discriminator loss: 0.536793, acc: 0.726562] [adversarial loss: 1.539247, acc: 0.203125] 12090: [discriminator loss: 0.569668, acc: 0.718750] [adversarial loss: 0.885341, acc: 0.453125] 12091: [discriminator loss: 0.595245, acc: 0.656250] [adversarial loss: 1.293081, acc: 0.203125] 12092: [discriminator loss: 0.575893, acc: 0.703125] [adversarial loss: 1.260422, acc: 0.312500] 12093: [discriminator loss: 0.581294, acc: 0.640625] [adversarial loss: 1.052895, acc: 0.281250] 12094: [discriminator loss: 0.528658, acc: 0.718750] [adversarial loss: 1.156928, acc: 0.265625] 12095: [discriminator loss: 0.536292, acc: 0.742188] [adversarial loss: 1.500406, acc: 0.125000] 12096: [discriminator loss: 0.610699, acc: 0.656250] [adversarial loss: 0.963003, acc: 0.343750] 12097: [discriminator loss: 0.548493, acc: 0.679688] [adversarial loss: 1.334160, acc: 0.140625] 12098: [discriminator loss: 0.534071, acc: 0.710938] [adversarial loss: 1.245589, acc: 0.156250] 12099: [discriminator loss: 0.549513, acc: 0.710938] [adversarial loss: 0.959061, acc: 0.390625] 12100: [discriminator loss: 0.492463, acc: 0.757812] [adversarial loss: 1.672910, acc: 0.125000] 12101: [discriminator loss: 0.622237, acc: 0.640625] [adversarial loss: 0.768508, acc: 0.421875] 12102: [discriminator loss: 0.533511, acc: 0.726562] [adversarial loss: 1.353141, acc: 0.125000] 12103: [discriminator loss: 0.541500, acc: 0.671875] [adversarial loss: 0.929446, acc: 0.390625] 12104: [discriminator loss: 0.599106, acc: 0.679688] [adversarial loss: 1.283432, acc: 0.125000] 12105: [discriminator loss: 0.561775, acc: 0.750000] [adversarial loss: 1.027555, acc: 0.312500] 12106: [discriminator loss: 0.521917, acc: 0.750000] [adversarial loss: 1.410201, acc: 0.171875] 12107: [discriminator loss: 0.503697, acc: 0.742188] [adversarial loss: 1.121853, acc: 0.250000] 12108: [discriminator loss: 0.540384, acc: 0.757812] [adversarial loss: 1.378371, acc: 0.187500] 12109: [discriminator loss: 0.595396, acc: 0.695312] [adversarial loss: 0.915275, acc: 0.375000] 12110: [discriminator loss: 0.510040, acc: 0.765625] [adversarial loss: 1.316546, acc: 0.171875] 12111: [discriminator loss: 0.592846, acc: 0.656250] [adversarial loss: 0.941316, acc: 0.375000] 12112: [discriminator loss: 0.530040, acc: 0.695312] [adversarial loss: 1.521636, acc: 0.187500] 12113: [discriminator loss: 0.575250, acc: 0.664062] [adversarial loss: 1.012909, acc: 0.281250] 12114: [discriminator loss: 0.483752, acc: 0.726562] [adversarial loss: 1.060866, acc: 0.250000] 12115: [discriminator loss: 0.490778, acc: 0.796875] [adversarial loss: 1.188550, acc: 0.250000] 12116: [discriminator loss: 0.507682, acc: 0.773438] [adversarial loss: 1.402614, acc: 0.140625] 12117: [discriminator loss: 0.524906, acc: 0.718750] [adversarial loss: 0.880638, acc: 0.343750] 12118: [discriminator loss: 0.564317, acc: 0.703125] [adversarial loss: 1.594671, acc: 0.203125] 12119: [discriminator loss: 0.551724, acc: 0.718750] [adversarial loss: 0.781208, acc: 0.484375] 12120: [discriminator loss: 0.616137, acc: 0.632812] [adversarial loss: 1.186525, acc: 0.265625] 12121: [discriminator loss: 0.562841, acc: 0.687500] [adversarial loss: 1.086546, acc: 0.343750] 12122: [discriminator loss: 0.594205, acc: 0.671875] [adversarial loss: 0.970995, acc: 0.406250] 12123: [discriminator loss: 0.540370, acc: 0.726562] [adversarial loss: 1.189981, acc: 0.156250] 12124: [discriminator loss: 0.567220, acc: 0.687500] [adversarial loss: 1.022197, acc: 0.359375] 12125: [discriminator loss: 0.598350, acc: 0.656250] [adversarial loss: 1.483734, acc: 0.125000] 12126: [discriminator loss: 0.584092, acc: 0.710938] [adversarial loss: 0.997559, acc: 0.343750] 12127: [discriminator loss: 0.493276, acc: 0.765625] [adversarial loss: 1.315611, acc: 0.234375] 12128: [discriminator loss: 0.585105, acc: 0.671875] [adversarial loss: 0.942993, acc: 0.375000] 12129: [discriminator loss: 0.498803, acc: 0.765625] [adversarial loss: 1.010275, acc: 0.296875] 12130: [discriminator loss: 0.549775, acc: 0.687500] [adversarial loss: 1.182555, acc: 0.250000] 12131: [discriminator loss: 0.524730, acc: 0.726562] [adversarial loss: 1.287750, acc: 0.156250] 12132: [discriminator loss: 0.534538, acc: 0.718750] [adversarial loss: 1.274245, acc: 0.203125] 12133: [discriminator loss: 0.474513, acc: 0.789062] [adversarial loss: 1.041374, acc: 0.296875] 12134: [discriminator loss: 0.580645, acc: 0.695312] [adversarial loss: 1.343379, acc: 0.078125] 12135: [discriminator loss: 0.540749, acc: 0.734375] [adversarial loss: 0.890075, acc: 0.453125] 12136: [discriminator loss: 0.623771, acc: 0.664062] [adversarial loss: 1.662130, acc: 0.031250] 12137: [discriminator loss: 0.632806, acc: 0.648438] [adversarial loss: 0.814659, acc: 0.500000] 12138: [discriminator loss: 0.617090, acc: 0.656250] [adversarial loss: 1.760794, acc: 0.078125] 12139: [discriminator loss: 0.555210, acc: 0.734375] [adversarial loss: 0.881892, acc: 0.375000] 12140: [discriminator loss: 0.550021, acc: 0.695312] [adversarial loss: 1.638766, acc: 0.109375] 12141: [discriminator loss: 0.499960, acc: 0.781250] [adversarial loss: 0.924492, acc: 0.468750] 12142: [discriminator loss: 0.513547, acc: 0.773438] [adversarial loss: 1.316262, acc: 0.203125] 12143: [discriminator loss: 0.489988, acc: 0.789062] [adversarial loss: 1.164535, acc: 0.218750] 12144: [discriminator loss: 0.591326, acc: 0.710938] [adversarial loss: 1.145135, acc: 0.250000] 12145: [discriminator loss: 0.512928, acc: 0.765625] [adversarial loss: 1.306717, acc: 0.171875] 12146: [discriminator loss: 0.532922, acc: 0.734375] [adversarial loss: 1.019338, acc: 0.359375] 12147: [discriminator loss: 0.588906, acc: 0.679688] [adversarial loss: 1.449294, acc: 0.031250] 12148: [discriminator loss: 0.626490, acc: 0.609375] [adversarial loss: 1.022998, acc: 0.390625] 12149: [discriminator loss: 0.524981, acc: 0.695312] [adversarial loss: 0.917232, acc: 0.421875] 12150: [discriminator loss: 0.532104, acc: 0.734375] [adversarial loss: 1.399778, acc: 0.156250] 12151: [discriminator loss: 0.502100, acc: 0.742188] [adversarial loss: 0.914400, acc: 0.468750] 12152: [discriminator loss: 0.619599, acc: 0.718750] [adversarial loss: 1.396186, acc: 0.171875] 12153: [discriminator loss: 0.598295, acc: 0.656250] [adversarial loss: 0.868158, acc: 0.500000] 12154: [discriminator loss: 0.538154, acc: 0.710938] [adversarial loss: 1.433591, acc: 0.187500] 12155: [discriminator loss: 0.586285, acc: 0.664062] [adversarial loss: 0.864971, acc: 0.468750] 12156: [discriminator loss: 0.633306, acc: 0.656250] [adversarial loss: 1.389445, acc: 0.125000] 12157: [discriminator loss: 0.607105, acc: 0.687500] [adversarial loss: 1.030222, acc: 0.265625] 12158: [discriminator loss: 0.582112, acc: 0.687500] [adversarial loss: 1.387197, acc: 0.171875] 12159: [discriminator loss: 0.593343, acc: 0.671875] [adversarial loss: 1.107721, acc: 0.265625] 12160: [discriminator loss: 0.616866, acc: 0.648438] [adversarial loss: 1.229426, acc: 0.156250] 12161: [discriminator loss: 0.521500, acc: 0.742188] [adversarial loss: 1.026306, acc: 0.328125] 12162: [discriminator loss: 0.541965, acc: 0.757812] [adversarial loss: 1.025670, acc: 0.312500] 12163: [discriminator loss: 0.542980, acc: 0.710938] [adversarial loss: 1.349614, acc: 0.125000] 12164: [discriminator loss: 0.502726, acc: 0.742188] [adversarial loss: 1.226625, acc: 0.250000] 12165: [discriminator loss: 0.579296, acc: 0.726562] [adversarial loss: 1.033137, acc: 0.234375] 12166: [discriminator loss: 0.572691, acc: 0.703125] [adversarial loss: 1.008389, acc: 0.343750] 12167: [discriminator loss: 0.526067, acc: 0.750000] [adversarial loss: 1.105347, acc: 0.296875] 12168: [discriminator loss: 0.603360, acc: 0.695312] [adversarial loss: 1.097266, acc: 0.359375] 12169: [discriminator loss: 0.528242, acc: 0.726562] [adversarial loss: 1.165261, acc: 0.218750] 12170: [discriminator loss: 0.533878, acc: 0.718750] [adversarial loss: 1.230981, acc: 0.265625] 12171: [discriminator loss: 0.546719, acc: 0.726562] [adversarial loss: 1.139042, acc: 0.328125] 12172: [discriminator loss: 0.588693, acc: 0.679688] [adversarial loss: 1.287068, acc: 0.234375] 12173: [discriminator loss: 0.590369, acc: 0.679688] [adversarial loss: 0.969416, acc: 0.375000] 12174: [discriminator loss: 0.562174, acc: 0.703125] [adversarial loss: 1.611837, acc: 0.062500] 12175: [discriminator loss: 0.595326, acc: 0.664062] [adversarial loss: 0.558407, acc: 0.703125] 12176: [discriminator loss: 0.635885, acc: 0.648438] [adversarial loss: 1.609784, acc: 0.125000] 12177: [discriminator loss: 0.695794, acc: 0.632812] [adversarial loss: 0.771897, acc: 0.593750] 12178: [discriminator loss: 0.642938, acc: 0.664062] [adversarial loss: 1.336620, acc: 0.218750] 12179: [discriminator loss: 0.630175, acc: 0.601562] [adversarial loss: 1.035211, acc: 0.328125] 12180: [discriminator loss: 0.459195, acc: 0.773438] [adversarial loss: 1.115985, acc: 0.312500] 12181: [discriminator loss: 0.633883, acc: 0.671875] [adversarial loss: 1.253365, acc: 0.218750] 12182: [discriminator loss: 0.534399, acc: 0.710938] [adversarial loss: 0.934135, acc: 0.421875] 12183: [discriminator loss: 0.548659, acc: 0.703125] [adversarial loss: 1.149745, acc: 0.281250] 12184: [discriminator loss: 0.486080, acc: 0.773438] [adversarial loss: 1.008025, acc: 0.218750] 12185: [discriminator loss: 0.568403, acc: 0.726562] [adversarial loss: 1.459346, acc: 0.156250] 12186: [discriminator loss: 0.560895, acc: 0.632812] [adversarial loss: 0.858687, acc: 0.453125] 12187: [discriminator loss: 0.607127, acc: 0.695312] [adversarial loss: 1.448682, acc: 0.093750] 12188: [discriminator loss: 0.559501, acc: 0.695312] [adversarial loss: 0.896264, acc: 0.406250] 12189: [discriminator loss: 0.516983, acc: 0.703125] [adversarial loss: 1.137469, acc: 0.250000] 12190: [discriminator loss: 0.565653, acc: 0.664062] [adversarial loss: 1.085583, acc: 0.265625] 12191: [discriminator loss: 0.499619, acc: 0.757812] [adversarial loss: 1.154002, acc: 0.265625] 12192: [discriminator loss: 0.545992, acc: 0.703125] [adversarial loss: 0.954966, acc: 0.453125] 12193: [discriminator loss: 0.560478, acc: 0.687500] [adversarial loss: 1.212854, acc: 0.218750] 12194: [discriminator loss: 0.444149, acc: 0.796875] [adversarial loss: 1.021994, acc: 0.437500] 12195: [discriminator loss: 0.625639, acc: 0.609375] [adversarial loss: 1.549245, acc: 0.109375] 12196: [discriminator loss: 0.524884, acc: 0.726562] [adversarial loss: 1.021231, acc: 0.359375] 12197: [discriminator loss: 0.535196, acc: 0.734375] [adversarial loss: 1.433598, acc: 0.125000] 12198: [discriminator loss: 0.529513, acc: 0.726562] [adversarial loss: 1.044685, acc: 0.421875] 12199: [discriminator loss: 0.533724, acc: 0.710938] [adversarial loss: 1.289855, acc: 0.187500] 12200: [discriminator loss: 0.498246, acc: 0.734375] [adversarial loss: 0.856149, acc: 0.484375] 12201: [discriminator loss: 0.575881, acc: 0.710938] [adversarial loss: 1.254034, acc: 0.234375] 12202: [discriminator loss: 0.502193, acc: 0.750000] [adversarial loss: 0.829077, acc: 0.500000] 12203: [discriminator loss: 0.595634, acc: 0.671875] [adversarial loss: 1.552267, acc: 0.140625] 12204: [discriminator loss: 0.588364, acc: 0.718750] [adversarial loss: 1.084647, acc: 0.312500] 12205: [discriminator loss: 0.544658, acc: 0.734375] [adversarial loss: 1.257976, acc: 0.203125] 12206: [discriminator loss: 0.553407, acc: 0.750000] [adversarial loss: 0.884110, acc: 0.421875] 12207: [discriminator loss: 0.529266, acc: 0.734375] [adversarial loss: 1.478845, acc: 0.140625] 12208: [discriminator loss: 0.581170, acc: 0.664062] [adversarial loss: 0.948822, acc: 0.421875] 12209: [discriminator loss: 0.595989, acc: 0.718750] [adversarial loss: 1.573984, acc: 0.125000] 12210: [discriminator loss: 0.573813, acc: 0.703125] [adversarial loss: 1.016125, acc: 0.359375] 12211: [discriminator loss: 0.509938, acc: 0.757812] [adversarial loss: 1.290730, acc: 0.234375] 12212: [discriminator loss: 0.527963, acc: 0.718750] [adversarial loss: 1.110174, acc: 0.359375] 12213: [discriminator loss: 0.530701, acc: 0.781250] [adversarial loss: 1.211228, acc: 0.250000] 12214: [discriminator loss: 0.562062, acc: 0.671875] [adversarial loss: 1.282707, acc: 0.156250] 12215: [discriminator loss: 0.560925, acc: 0.671875] [adversarial loss: 1.206224, acc: 0.203125] 12216: [discriminator loss: 0.523937, acc: 0.742188] [adversarial loss: 1.326629, acc: 0.187500] 12217: [discriminator loss: 0.473770, acc: 0.750000] [adversarial loss: 1.135687, acc: 0.250000] 12218: [discriminator loss: 0.531981, acc: 0.726562] [adversarial loss: 1.306363, acc: 0.187500] 12219: [discriminator loss: 0.538720, acc: 0.718750] [adversarial loss: 1.192155, acc: 0.359375] 12220: [discriminator loss: 0.523795, acc: 0.757812] [adversarial loss: 1.475508, acc: 0.109375] 12221: [discriminator loss: 0.568187, acc: 0.710938] [adversarial loss: 0.978300, acc: 0.296875] 12222: [discriminator loss: 0.663517, acc: 0.664062] [adversarial loss: 1.143325, acc: 0.218750] 12223: [discriminator loss: 0.620449, acc: 0.695312] [adversarial loss: 1.274559, acc: 0.171875] 12224: [discriminator loss: 0.527001, acc: 0.710938] [adversarial loss: 0.936080, acc: 0.421875] 12225: [discriminator loss: 0.647711, acc: 0.640625] [adversarial loss: 1.476047, acc: 0.093750] 12226: [discriminator loss: 0.535791, acc: 0.726562] [adversarial loss: 0.787825, acc: 0.453125] 12227: [discriminator loss: 0.645036, acc: 0.625000] [adversarial loss: 1.478522, acc: 0.203125] 12228: [discriminator loss: 0.610290, acc: 0.640625] [adversarial loss: 0.680729, acc: 0.640625] 12229: [discriminator loss: 0.620135, acc: 0.632812] [adversarial loss: 1.503062, acc: 0.062500] 12230: [discriminator loss: 0.524946, acc: 0.695312] [adversarial loss: 1.076749, acc: 0.296875] 12231: [discriminator loss: 0.549125, acc: 0.750000] [adversarial loss: 0.979055, acc: 0.390625] 12232: [discriminator loss: 0.541463, acc: 0.750000] [adversarial loss: 1.354242, acc: 0.203125] 12233: [discriminator loss: 0.570744, acc: 0.679688] [adversarial loss: 1.169919, acc: 0.250000] 12234: [discriminator loss: 0.533756, acc: 0.789062] [adversarial loss: 1.222983, acc: 0.234375] 12235: [discriminator loss: 0.503852, acc: 0.796875] [adversarial loss: 1.153651, acc: 0.203125] 12236: [discriminator loss: 0.567038, acc: 0.703125] [adversarial loss: 1.218030, acc: 0.156250] 12237: [discriminator loss: 0.518114, acc: 0.734375] [adversarial loss: 1.051187, acc: 0.343750] 12238: [discriminator loss: 0.592548, acc: 0.710938] [adversarial loss: 1.145822, acc: 0.234375] 12239: [discriminator loss: 0.607661, acc: 0.679688] [adversarial loss: 1.112553, acc: 0.296875] 12240: [discriminator loss: 0.457673, acc: 0.789062] [adversarial loss: 1.238584, acc: 0.171875] 12241: [discriminator loss: 0.517405, acc: 0.695312] [adversarial loss: 1.302638, acc: 0.218750] 12242: [discriminator loss: 0.523349, acc: 0.750000] [adversarial loss: 0.882569, acc: 0.437500] 12243: [discriminator loss: 0.638190, acc: 0.679688] [adversarial loss: 1.632344, acc: 0.156250] 12244: [discriminator loss: 0.662125, acc: 0.625000] [adversarial loss: 0.776373, acc: 0.531250] 12245: [discriminator loss: 0.640417, acc: 0.648438] [adversarial loss: 1.544963, acc: 0.078125] 12246: [discriminator loss: 0.671839, acc: 0.640625] [adversarial loss: 0.787633, acc: 0.453125] 12247: [discriminator loss: 0.572725, acc: 0.687500] [adversarial loss: 1.332450, acc: 0.140625] 12248: [discriminator loss: 0.556276, acc: 0.703125] [adversarial loss: 0.959047, acc: 0.390625] 12249: [discriminator loss: 0.548853, acc: 0.695312] [adversarial loss: 1.233797, acc: 0.218750] 12250: [discriminator loss: 0.573954, acc: 0.664062] [adversarial loss: 1.250320, acc: 0.250000] 12251: [discriminator loss: 0.654065, acc: 0.632812] [adversarial loss: 1.236748, acc: 0.140625] 12252: [discriminator loss: 0.472540, acc: 0.765625] [adversarial loss: 1.317527, acc: 0.156250] 12253: [discriminator loss: 0.535347, acc: 0.718750] [adversarial loss: 0.999136, acc: 0.359375] 12254: [discriminator loss: 0.529909, acc: 0.742188] [adversarial loss: 1.329156, acc: 0.109375] 12255: [discriminator loss: 0.553136, acc: 0.695312] [adversarial loss: 0.939183, acc: 0.343750] 12256: [discriminator loss: 0.584571, acc: 0.671875] [adversarial loss: 1.562397, acc: 0.062500] 12257: [discriminator loss: 0.583144, acc: 0.679688] [adversarial loss: 0.897064, acc: 0.421875] 12258: [discriminator loss: 0.565549, acc: 0.710938] [adversarial loss: 1.331289, acc: 0.218750] 12259: [discriminator loss: 0.505467, acc: 0.742188] [adversarial loss: 1.252375, acc: 0.187500] 12260: [discriminator loss: 0.609502, acc: 0.640625] [adversarial loss: 1.051429, acc: 0.375000] 12261: [discriminator loss: 0.551347, acc: 0.742188] [adversarial loss: 1.416561, acc: 0.125000] 12262: [discriminator loss: 0.573487, acc: 0.695312] [adversarial loss: 1.016633, acc: 0.406250] 12263: [discriminator loss: 0.487323, acc: 0.781250] [adversarial loss: 0.958674, acc: 0.421875] 12264: [discriminator loss: 0.553451, acc: 0.687500] [adversarial loss: 1.333179, acc: 0.093750] 12265: [discriminator loss: 0.542416, acc: 0.710938] [adversarial loss: 0.965537, acc: 0.328125] 12266: [discriminator loss: 0.548402, acc: 0.703125] [adversarial loss: 1.490304, acc: 0.125000] 12267: [discriminator loss: 0.593290, acc: 0.656250] [adversarial loss: 0.920060, acc: 0.390625] 12268: [discriminator loss: 0.627249, acc: 0.632812] [adversarial loss: 1.289340, acc: 0.125000] 12269: [discriminator loss: 0.492236, acc: 0.796875] [adversarial loss: 1.051500, acc: 0.312500] 12270: [discriminator loss: 0.487773, acc: 0.750000] [adversarial loss: 1.141351, acc: 0.296875] 12271: [discriminator loss: 0.506840, acc: 0.750000] [adversarial loss: 1.267626, acc: 0.109375] 12272: [discriminator loss: 0.481070, acc: 0.773438] [adversarial loss: 0.812024, acc: 0.359375] 12273: [discriminator loss: 0.658021, acc: 0.679688] [adversarial loss: 1.275858, acc: 0.187500] 12274: [discriminator loss: 0.550196, acc: 0.750000] [adversarial loss: 1.042583, acc: 0.328125] 12275: [discriminator loss: 0.532511, acc: 0.726562] [adversarial loss: 1.124745, acc: 0.265625] 12276: [discriminator loss: 0.445915, acc: 0.789062] [adversarial loss: 1.184828, acc: 0.171875] 12277: [discriminator loss: 0.497605, acc: 0.781250] [adversarial loss: 0.953412, acc: 0.343750] 12278: [discriminator loss: 0.497278, acc: 0.765625] [adversarial loss: 1.264254, acc: 0.250000] 12279: [discriminator loss: 0.507754, acc: 0.765625] [adversarial loss: 1.191121, acc: 0.234375] 12280: [discriminator loss: 0.617558, acc: 0.687500] [adversarial loss: 0.983882, acc: 0.343750] 12281: [discriminator loss: 0.492744, acc: 0.781250] [adversarial loss: 1.136583, acc: 0.281250] 12282: [discriminator loss: 0.527702, acc: 0.710938] [adversarial loss: 1.473160, acc: 0.203125] 12283: [discriminator loss: 0.569146, acc: 0.718750] [adversarial loss: 0.890947, acc: 0.375000] 12284: [discriminator loss: 0.543174, acc: 0.734375] [adversarial loss: 1.750605, acc: 0.062500] 12285: [discriminator loss: 0.610106, acc: 0.656250] [adversarial loss: 0.779984, acc: 0.562500] 12286: [discriminator loss: 0.687933, acc: 0.648438] [adversarial loss: 1.512274, acc: 0.203125] 12287: [discriminator loss: 0.603317, acc: 0.648438] [adversarial loss: 0.901396, acc: 0.375000] 12288: [discriminator loss: 0.501242, acc: 0.757812] [adversarial loss: 1.317670, acc: 0.171875] 12289: [discriminator loss: 0.542376, acc: 0.710938] [adversarial loss: 1.151245, acc: 0.281250] 12290: [discriminator loss: 0.583857, acc: 0.695312] [adversarial loss: 1.004814, acc: 0.359375] 12291: [discriminator loss: 0.520878, acc: 0.718750] [adversarial loss: 1.075208, acc: 0.296875] 12292: [discriminator loss: 0.465919, acc: 0.781250] [adversarial loss: 1.250433, acc: 0.218750] 12293: [discriminator loss: 0.530220, acc: 0.710938] [adversarial loss: 1.076379, acc: 0.265625] 12294: [discriminator loss: 0.533113, acc: 0.718750] [adversarial loss: 1.158579, acc: 0.187500] 12295: [discriminator loss: 0.544906, acc: 0.718750] [adversarial loss: 0.948942, acc: 0.328125] 12296: [discriminator loss: 0.533924, acc: 0.726562] [adversarial loss: 1.407119, acc: 0.140625] 12297: [discriminator loss: 0.529586, acc: 0.718750] [adversarial loss: 0.981636, acc: 0.390625] 12298: [discriminator loss: 0.509164, acc: 0.796875] [adversarial loss: 1.218526, acc: 0.171875] 12299: [discriminator loss: 0.532112, acc: 0.695312] [adversarial loss: 1.005639, acc: 0.375000] 12300: [discriminator loss: 0.573336, acc: 0.695312] [adversarial loss: 1.456290, acc: 0.156250] 12301: [discriminator loss: 0.601276, acc: 0.679688] [adversarial loss: 0.893062, acc: 0.421875] 12302: [discriminator loss: 0.554693, acc: 0.726562] [adversarial loss: 1.516135, acc: 0.140625] 12303: [discriminator loss: 0.544402, acc: 0.687500] [adversarial loss: 0.895397, acc: 0.421875] 12304: [discriminator loss: 0.556871, acc: 0.742188] [adversarial loss: 1.602692, acc: 0.109375] 12305: [discriminator loss: 0.619994, acc: 0.648438] [adversarial loss: 0.819179, acc: 0.500000] 12306: [discriminator loss: 0.535073, acc: 0.687500] [adversarial loss: 1.448757, acc: 0.171875] 12307: [discriminator loss: 0.591402, acc: 0.664062] [adversarial loss: 0.968669, acc: 0.375000] 12308: [discriminator loss: 0.600153, acc: 0.671875] [adversarial loss: 1.636833, acc: 0.109375] 12309: [discriminator loss: 0.617991, acc: 0.664062] [adversarial loss: 0.783389, acc: 0.546875] 12310: [discriminator loss: 0.554136, acc: 0.664062] [adversarial loss: 1.421935, acc: 0.109375] 12311: [discriminator loss: 0.614391, acc: 0.679688] [adversarial loss: 0.892831, acc: 0.515625] 12312: [discriminator loss: 0.591621, acc: 0.703125] [adversarial loss: 1.449122, acc: 0.156250] 12313: [discriminator loss: 0.557245, acc: 0.687500] [adversarial loss: 0.876109, acc: 0.468750] 12314: [discriminator loss: 0.569841, acc: 0.750000] [adversarial loss: 1.337551, acc: 0.171875] 12315: [discriminator loss: 0.518876, acc: 0.742188] [adversarial loss: 1.105703, acc: 0.312500] 12316: [discriminator loss: 0.558031, acc: 0.726562] [adversarial loss: 1.362223, acc: 0.203125] 12317: [discriminator loss: 0.504867, acc: 0.773438] [adversarial loss: 0.997794, acc: 0.296875] 12318: [discriminator loss: 0.523389, acc: 0.750000] [adversarial loss: 1.321353, acc: 0.218750] 12319: [discriminator loss: 0.570690, acc: 0.710938] [adversarial loss: 1.067719, acc: 0.296875] 12320: [discriminator loss: 0.465683, acc: 0.804688] [adversarial loss: 1.071848, acc: 0.375000] 12321: [discriminator loss: 0.579925, acc: 0.687500] [adversarial loss: 1.195459, acc: 0.234375] 12322: [discriminator loss: 0.485391, acc: 0.750000] [adversarial loss: 1.168129, acc: 0.203125] 12323: [discriminator loss: 0.569522, acc: 0.695312] [adversarial loss: 1.401255, acc: 0.187500] 12324: [discriminator loss: 0.586079, acc: 0.679688] [adversarial loss: 0.958240, acc: 0.421875] 12325: [discriminator loss: 0.563736, acc: 0.710938] [adversarial loss: 1.403882, acc: 0.140625] 12326: [discriminator loss: 0.560921, acc: 0.718750] [adversarial loss: 1.012578, acc: 0.359375] 12327: [discriminator loss: 0.510667, acc: 0.773438] [adversarial loss: 1.392779, acc: 0.125000] 12328: [discriminator loss: 0.476954, acc: 0.765625] [adversarial loss: 1.032739, acc: 0.296875] 12329: [discriminator loss: 0.567461, acc: 0.718750] [adversarial loss: 1.140584, acc: 0.265625] 12330: [discriminator loss: 0.609033, acc: 0.656250] [adversarial loss: 0.934454, acc: 0.453125] 12331: [discriminator loss: 0.531883, acc: 0.703125] [adversarial loss: 1.520608, acc: 0.093750] 12332: [discriminator loss: 0.623114, acc: 0.656250] [adversarial loss: 1.053632, acc: 0.265625] 12333: [discriminator loss: 0.559593, acc: 0.734375] [adversarial loss: 1.484957, acc: 0.125000] 12334: [discriminator loss: 0.598115, acc: 0.664062] [adversarial loss: 0.950154, acc: 0.437500] 12335: [discriminator loss: 0.540453, acc: 0.734375] [adversarial loss: 1.404683, acc: 0.171875] 12336: [discriminator loss: 0.569364, acc: 0.718750] [adversarial loss: 0.943886, acc: 0.343750] 12337: [discriminator loss: 0.509121, acc: 0.750000] [adversarial loss: 1.422864, acc: 0.156250] 12338: [discriminator loss: 0.519564, acc: 0.726562] [adversarial loss: 0.776509, acc: 0.500000] 12339: [discriminator loss: 0.612212, acc: 0.671875] [adversarial loss: 1.497479, acc: 0.203125] 12340: [discriminator loss: 0.515055, acc: 0.734375] [adversarial loss: 1.187598, acc: 0.203125] 12341: [discriminator loss: 0.581358, acc: 0.687500] [adversarial loss: 1.527528, acc: 0.187500] 12342: [discriminator loss: 0.555237, acc: 0.679688] [adversarial loss: 0.885444, acc: 0.453125] 12343: [discriminator loss: 0.634059, acc: 0.664062] [adversarial loss: 1.661606, acc: 0.140625] 12344: [discriminator loss: 0.627038, acc: 0.671875] [adversarial loss: 0.763567, acc: 0.515625] 12345: [discriminator loss: 0.526685, acc: 0.726562] [adversarial loss: 1.403163, acc: 0.156250] 12346: [discriminator loss: 0.529003, acc: 0.718750] [adversarial loss: 1.072314, acc: 0.265625] 12347: [discriminator loss: 0.541979, acc: 0.718750] [adversarial loss: 1.477607, acc: 0.140625] 12348: [discriminator loss: 0.542365, acc: 0.757812] [adversarial loss: 1.152973, acc: 0.328125] 12349: [discriminator loss: 0.545884, acc: 0.750000] [adversarial loss: 1.289171, acc: 0.140625] 12350: [discriminator loss: 0.525118, acc: 0.726562] [adversarial loss: 1.108828, acc: 0.281250] 12351: [discriminator loss: 0.570659, acc: 0.656250] [adversarial loss: 0.920946, acc: 0.390625] 12352: [discriminator loss: 0.533495, acc: 0.750000] [adversarial loss: 1.582232, acc: 0.125000] 12353: [discriminator loss: 0.699769, acc: 0.656250] [adversarial loss: 0.836449, acc: 0.500000] 12354: [discriminator loss: 0.502259, acc: 0.773438] [adversarial loss: 1.436037, acc: 0.125000] 12355: [discriminator loss: 0.553976, acc: 0.703125] [adversarial loss: 0.924927, acc: 0.265625] 12356: [discriminator loss: 0.569532, acc: 0.710938] [adversarial loss: 1.102541, acc: 0.250000] 12357: [discriminator loss: 0.504940, acc: 0.757812] [adversarial loss: 1.354492, acc: 0.203125] 12358: [discriminator loss: 0.520894, acc: 0.742188] [adversarial loss: 1.090183, acc: 0.312500] 12359: [discriminator loss: 0.624586, acc: 0.640625] [adversarial loss: 1.176761, acc: 0.234375] 12360: [discriminator loss: 0.535177, acc: 0.703125] [adversarial loss: 1.063707, acc: 0.328125] 12361: [discriminator loss: 0.626620, acc: 0.648438] [adversarial loss: 1.018015, acc: 0.359375] 12362: [discriminator loss: 0.573503, acc: 0.703125] [adversarial loss: 1.127329, acc: 0.312500] 12363: [discriminator loss: 0.575033, acc: 0.718750] [adversarial loss: 1.071262, acc: 0.406250] 12364: [discriminator loss: 0.532001, acc: 0.757812] [adversarial loss: 1.335886, acc: 0.156250] 12365: [discriminator loss: 0.559637, acc: 0.718750] [adversarial loss: 0.962306, acc: 0.453125] 12366: [discriminator loss: 0.547205, acc: 0.710938] [adversarial loss: 1.409750, acc: 0.156250] 12367: [discriminator loss: 0.561611, acc: 0.726562] [adversarial loss: 0.879253, acc: 0.453125] 12368: [discriminator loss: 0.492510, acc: 0.781250] [adversarial loss: 1.291100, acc: 0.218750] 12369: [discriminator loss: 0.556311, acc: 0.679688] [adversarial loss: 1.153281, acc: 0.312500] 12370: [discriminator loss: 0.511018, acc: 0.765625] [adversarial loss: 1.136894, acc: 0.234375] 12371: [discriminator loss: 0.530184, acc: 0.765625] [adversarial loss: 1.221341, acc: 0.234375] 12372: [discriminator loss: 0.500668, acc: 0.765625] [adversarial loss: 1.498879, acc: 0.109375] 12373: [discriminator loss: 0.559905, acc: 0.726562] [adversarial loss: 0.992630, acc: 0.359375] 12374: [discriminator loss: 0.588678, acc: 0.679688] [adversarial loss: 1.738930, acc: 0.078125] 12375: [discriminator loss: 0.624411, acc: 0.656250] [adversarial loss: 0.752335, acc: 0.593750] 12376: [discriminator loss: 0.597437, acc: 0.679688] [adversarial loss: 1.619522, acc: 0.078125] 12377: [discriminator loss: 0.562074, acc: 0.671875] [adversarial loss: 0.870333, acc: 0.515625] 12378: [discriminator loss: 0.561446, acc: 0.687500] [adversarial loss: 1.273082, acc: 0.156250] 12379: [discriminator loss: 0.527029, acc: 0.750000] [adversarial loss: 1.009156, acc: 0.359375] 12380: [discriminator loss: 0.591431, acc: 0.710938] [adversarial loss: 1.044223, acc: 0.359375] 12381: [discriminator loss: 0.582093, acc: 0.695312] [adversarial loss: 1.407120, acc: 0.203125] 12382: [discriminator loss: 0.599575, acc: 0.648438] [adversarial loss: 0.969086, acc: 0.437500] 12383: [discriminator loss: 0.507682, acc: 0.750000] [adversarial loss: 1.442361, acc: 0.140625] 12384: [discriminator loss: 0.551280, acc: 0.671875] [adversarial loss: 1.038480, acc: 0.343750] 12385: [discriminator loss: 0.619429, acc: 0.671875] [adversarial loss: 1.196974, acc: 0.156250] 12386: [discriminator loss: 0.499786, acc: 0.734375] [adversarial loss: 1.087502, acc: 0.328125] 12387: [discriminator loss: 0.532178, acc: 0.765625] [adversarial loss: 1.140114, acc: 0.250000] 12388: [discriminator loss: 0.527746, acc: 0.710938] [adversarial loss: 1.100544, acc: 0.250000] 12389: [discriminator loss: 0.561688, acc: 0.695312] [adversarial loss: 1.230924, acc: 0.296875] 12390: [discriminator loss: 0.577211, acc: 0.687500] [adversarial loss: 1.325738, acc: 0.125000] 12391: [discriminator loss: 0.588995, acc: 0.687500] [adversarial loss: 0.839186, acc: 0.437500] 12392: [discriminator loss: 0.614422, acc: 0.664062] [adversarial loss: 1.815380, acc: 0.031250] 12393: [discriminator loss: 0.678058, acc: 0.601562] [adversarial loss: 0.808230, acc: 0.484375] 12394: [discriminator loss: 0.524188, acc: 0.703125] [adversarial loss: 1.264423, acc: 0.234375] 12395: [discriminator loss: 0.510991, acc: 0.742188] [adversarial loss: 0.964139, acc: 0.406250] 12396: [discriminator loss: 0.590220, acc: 0.710938] [adversarial loss: 1.362772, acc: 0.140625] 12397: [discriminator loss: 0.504221, acc: 0.710938] [adversarial loss: 1.038540, acc: 0.312500] 12398: [discriminator loss: 0.552113, acc: 0.703125] [adversarial loss: 1.353294, acc: 0.140625] 12399: [discriminator loss: 0.533997, acc: 0.695312] [adversarial loss: 0.694435, acc: 0.593750] 12400: [discriminator loss: 0.494863, acc: 0.781250] [adversarial loss: 1.433638, acc: 0.140625] 12401: [discriminator loss: 0.571692, acc: 0.750000] [adversarial loss: 0.871123, acc: 0.453125] 12402: [discriminator loss: 0.567311, acc: 0.617188] [adversarial loss: 1.557245, acc: 0.109375] 12403: [discriminator loss: 0.538130, acc: 0.710938] [adversarial loss: 1.093324, acc: 0.265625] 12404: [discriminator loss: 0.537060, acc: 0.718750] [adversarial loss: 1.112303, acc: 0.265625] 12405: [discriminator loss: 0.509594, acc: 0.726562] [adversarial loss: 1.073115, acc: 0.312500] 12406: [discriminator loss: 0.518110, acc: 0.726562] [adversarial loss: 1.229251, acc: 0.203125] 12407: [discriminator loss: 0.547500, acc: 0.726562] [adversarial loss: 1.210730, acc: 0.203125] 12408: [discriminator loss: 0.533218, acc: 0.718750] [adversarial loss: 1.248356, acc: 0.218750] 12409: [discriminator loss: 0.630391, acc: 0.687500] [adversarial loss: 1.115324, acc: 0.234375] 12410: [discriminator loss: 0.541133, acc: 0.703125] [adversarial loss: 1.046750, acc: 0.265625] 12411: [discriminator loss: 0.524532, acc: 0.765625] [adversarial loss: 1.222905, acc: 0.203125] 12412: [discriminator loss: 0.528564, acc: 0.710938] [adversarial loss: 0.802288, acc: 0.531250] 12413: [discriminator loss: 0.557815, acc: 0.695312] [adversarial loss: 1.326977, acc: 0.125000] 12414: [discriminator loss: 0.527927, acc: 0.726562] [adversarial loss: 1.251428, acc: 0.203125] 12415: [discriminator loss: 0.452276, acc: 0.742188] [adversarial loss: 1.213844, acc: 0.156250] 12416: [discriminator loss: 0.562505, acc: 0.703125] [adversarial loss: 0.723032, acc: 0.515625] 12417: [discriminator loss: 0.575788, acc: 0.679688] [adversarial loss: 1.528917, acc: 0.125000] 12418: [discriminator loss: 0.617813, acc: 0.664062] [adversarial loss: 0.692879, acc: 0.515625] 12419: [discriminator loss: 0.593660, acc: 0.726562] [adversarial loss: 1.416225, acc: 0.156250] 12420: [discriminator loss: 0.527628, acc: 0.703125] [adversarial loss: 1.011647, acc: 0.359375] 12421: [discriminator loss: 0.559144, acc: 0.757812] [adversarial loss: 1.228089, acc: 0.250000] 12422: [discriminator loss: 0.572705, acc: 0.687500] [adversarial loss: 1.068518, acc: 0.296875] 12423: [discriminator loss: 0.514730, acc: 0.757812] [adversarial loss: 1.386952, acc: 0.156250] 12424: [discriminator loss: 0.570834, acc: 0.625000] [adversarial loss: 0.789063, acc: 0.500000] 12425: [discriminator loss: 0.471019, acc: 0.773438] [adversarial loss: 1.184631, acc: 0.218750] 12426: [discriminator loss: 0.592539, acc: 0.687500] [adversarial loss: 1.114937, acc: 0.234375] 12427: [discriminator loss: 0.525531, acc: 0.718750] [adversarial loss: 1.534387, acc: 0.125000] 12428: [discriminator loss: 0.586336, acc: 0.679688] [adversarial loss: 0.837756, acc: 0.437500] 12429: [discriminator loss: 0.531022, acc: 0.757812] [adversarial loss: 1.411975, acc: 0.125000] 12430: [discriminator loss: 0.573306, acc: 0.664062] [adversarial loss: 0.818836, acc: 0.468750] 12431: [discriminator loss: 0.596398, acc: 0.679688] [adversarial loss: 1.352326, acc: 0.156250] 12432: [discriminator loss: 0.552043, acc: 0.695312] [adversarial loss: 0.925042, acc: 0.390625] 12433: [discriminator loss: 0.550653, acc: 0.734375] [adversarial loss: 1.166505, acc: 0.156250] 12434: [discriminator loss: 0.581425, acc: 0.703125] [adversarial loss: 0.876949, acc: 0.453125] 12435: [discriminator loss: 0.598210, acc: 0.664062] [adversarial loss: 1.307894, acc: 0.187500] 12436: [discriminator loss: 0.521494, acc: 0.750000] [adversarial loss: 0.936715, acc: 0.359375] 12437: [discriminator loss: 0.577588, acc: 0.687500] [adversarial loss: 1.352812, acc: 0.203125] 12438: [discriminator loss: 0.529824, acc: 0.726562] [adversarial loss: 1.183557, acc: 0.203125] 12439: [discriminator loss: 0.541802, acc: 0.734375] [adversarial loss: 1.390917, acc: 0.187500] 12440: [discriminator loss: 0.607240, acc: 0.640625] [adversarial loss: 0.960130, acc: 0.375000] 12441: [discriminator loss: 0.558821, acc: 0.679688] [adversarial loss: 1.607352, acc: 0.125000] 12442: [discriminator loss: 0.575791, acc: 0.679688] [adversarial loss: 0.885570, acc: 0.453125] 12443: [discriminator loss: 0.573054, acc: 0.718750] [adversarial loss: 1.421034, acc: 0.171875] 12444: [discriminator loss: 0.569070, acc: 0.718750] [adversarial loss: 0.886538, acc: 0.359375] 12445: [discriminator loss: 0.524393, acc: 0.796875] [adversarial loss: 1.170587, acc: 0.250000] 12446: [discriminator loss: 0.579472, acc: 0.695312] [adversarial loss: 0.904514, acc: 0.406250] 12447: [discriminator loss: 0.542709, acc: 0.726562] [adversarial loss: 0.971307, acc: 0.390625] 12448: [discriminator loss: 0.530449, acc: 0.734375] [adversarial loss: 1.178233, acc: 0.187500] 12449: [discriminator loss: 0.531788, acc: 0.695312] [adversarial loss: 1.022473, acc: 0.375000] 12450: [discriminator loss: 0.608643, acc: 0.648438] [adversarial loss: 1.143230, acc: 0.296875] 12451: [discriminator loss: 0.574627, acc: 0.671875] [adversarial loss: 1.155733, acc: 0.234375] 12452: [discriminator loss: 0.554454, acc: 0.718750] [adversarial loss: 1.065596, acc: 0.421875] 12453: [discriminator loss: 0.586279, acc: 0.726562] [adversarial loss: 0.954954, acc: 0.328125] 12454: [discriminator loss: 0.545809, acc: 0.726562] [adversarial loss: 1.562380, acc: 0.109375] 12455: [discriminator loss: 0.596326, acc: 0.687500] [adversarial loss: 0.890197, acc: 0.406250] 12456: [discriminator loss: 0.645215, acc: 0.664062] [adversarial loss: 1.699642, acc: 0.046875] 12457: [discriminator loss: 0.579240, acc: 0.687500] [adversarial loss: 0.954730, acc: 0.359375] 12458: [discriminator loss: 0.525133, acc: 0.718750] [adversarial loss: 1.373185, acc: 0.140625] 12459: [discriminator loss: 0.553779, acc: 0.718750] [adversarial loss: 0.719990, acc: 0.593750] 12460: [discriminator loss: 0.481913, acc: 0.789062] [adversarial loss: 1.344085, acc: 0.140625] 12461: [discriminator loss: 0.503087, acc: 0.765625] [adversarial loss: 0.822408, acc: 0.546875] 12462: [discriminator loss: 0.517536, acc: 0.726562] [adversarial loss: 1.017231, acc: 0.375000] 12463: [discriminator loss: 0.536270, acc: 0.710938] [adversarial loss: 1.179571, acc: 0.234375] 12464: [discriminator loss: 0.500739, acc: 0.718750] [adversarial loss: 1.162997, acc: 0.203125] 12465: [discriminator loss: 0.507983, acc: 0.789062] [adversarial loss: 1.196073, acc: 0.234375] 12466: [discriminator loss: 0.554677, acc: 0.703125] [adversarial loss: 0.931940, acc: 0.375000] 12467: [discriminator loss: 0.579650, acc: 0.703125] [adversarial loss: 1.233228, acc: 0.187500] 12468: [discriminator loss: 0.522543, acc: 0.734375] [adversarial loss: 0.946593, acc: 0.437500] 12469: [discriminator loss: 0.481650, acc: 0.789062] [adversarial loss: 1.243751, acc: 0.203125] 12470: [discriminator loss: 0.595012, acc: 0.687500] [adversarial loss: 1.068781, acc: 0.296875] 12471: [discriminator loss: 0.577990, acc: 0.710938] [adversarial loss: 1.360633, acc: 0.218750] 12472: [discriminator loss: 0.522273, acc: 0.718750] [adversarial loss: 0.993246, acc: 0.359375] 12473: [discriminator loss: 0.548804, acc: 0.734375] [adversarial loss: 1.398391, acc: 0.093750] 12474: [discriminator loss: 0.586879, acc: 0.695312] [adversarial loss: 0.865474, acc: 0.484375] 12475: [discriminator loss: 0.510872, acc: 0.804688] [adversarial loss: 1.649594, acc: 0.062500] 12476: [discriminator loss: 0.602000, acc: 0.703125] [adversarial loss: 0.829020, acc: 0.453125] 12477: [discriminator loss: 0.521105, acc: 0.718750] [adversarial loss: 1.763382, acc: 0.125000] 12478: [discriminator loss: 0.633884, acc: 0.710938] [adversarial loss: 0.879509, acc: 0.390625] 12479: [discriminator loss: 0.578038, acc: 0.695312] [adversarial loss: 1.380239, acc: 0.156250] 12480: [discriminator loss: 0.467536, acc: 0.757812] [adversarial loss: 1.092863, acc: 0.250000] 12481: [discriminator loss: 0.543902, acc: 0.703125] [adversarial loss: 1.034495, acc: 0.343750] 12482: [discriminator loss: 0.573649, acc: 0.710938] [adversarial loss: 1.058333, acc: 0.296875] 12483: [discriminator loss: 0.509533, acc: 0.750000] [adversarial loss: 1.409639, acc: 0.109375] 12484: [discriminator loss: 0.482865, acc: 0.742188] [adversarial loss: 1.398947, acc: 0.156250] 12485: [discriminator loss: 0.512597, acc: 0.773438] [adversarial loss: 1.013897, acc: 0.343750] 12486: [discriminator loss: 0.583067, acc: 0.695312] [adversarial loss: 1.762745, acc: 0.046875] 12487: [discriminator loss: 0.537519, acc: 0.726562] [adversarial loss: 0.861429, acc: 0.437500] 12488: [discriminator loss: 0.624410, acc: 0.648438] [adversarial loss: 1.187925, acc: 0.234375] 12489: [discriminator loss: 0.515975, acc: 0.679688] [adversarial loss: 1.008447, acc: 0.343750] 12490: [discriminator loss: 0.530788, acc: 0.703125] [adversarial loss: 1.009251, acc: 0.312500] 12491: [discriminator loss: 0.606533, acc: 0.656250] [adversarial loss: 1.320340, acc: 0.171875] 12492: [discriminator loss: 0.520071, acc: 0.710938] [adversarial loss: 1.173484, acc: 0.296875] 12493: [discriminator loss: 0.494087, acc: 0.781250] [adversarial loss: 1.468791, acc: 0.125000] 12494: [discriminator loss: 0.488737, acc: 0.789062] [adversarial loss: 1.192824, acc: 0.218750] 12495: [discriminator loss: 0.518169, acc: 0.742188] [adversarial loss: 0.863304, acc: 0.437500] 12496: [discriminator loss: 0.555614, acc: 0.781250] [adversarial loss: 1.291523, acc: 0.187500] 12497: [discriminator loss: 0.570621, acc: 0.687500] [adversarial loss: 1.006654, acc: 0.328125] 12498: [discriminator loss: 0.531491, acc: 0.695312] [adversarial loss: 1.365179, acc: 0.140625] 12499: [discriminator loss: 0.552103, acc: 0.750000] [adversarial loss: 1.035374, acc: 0.406250] 12500: [discriminator loss: 0.600001, acc: 0.687500] [adversarial loss: 1.587249, acc: 0.156250] 12501: [discriminator loss: 0.597875, acc: 0.664062] [adversarial loss: 0.900863, acc: 0.390625] 12502: [discriminator loss: 0.548994, acc: 0.695312] [adversarial loss: 1.325931, acc: 0.203125] 12503: [discriminator loss: 0.585248, acc: 0.671875] [adversarial loss: 0.857651, acc: 0.468750] 12504: [discriminator loss: 0.611140, acc: 0.671875] [adversarial loss: 1.644889, acc: 0.125000] 12505: [discriminator loss: 0.590389, acc: 0.679688] [adversarial loss: 0.937415, acc: 0.328125] 12506: [discriminator loss: 0.522555, acc: 0.718750] [adversarial loss: 1.261336, acc: 0.203125] 12507: [discriminator loss: 0.529781, acc: 0.718750] [adversarial loss: 0.893691, acc: 0.437500] 12508: [discriminator loss: 0.516153, acc: 0.734375] [adversarial loss: 1.696321, acc: 0.125000] 12509: [discriminator loss: 0.610952, acc: 0.640625] [adversarial loss: 0.902313, acc: 0.468750] 12510: [discriminator loss: 0.566724, acc: 0.703125] [adversarial loss: 1.509665, acc: 0.140625] 12511: [discriminator loss: 0.583048, acc: 0.726562] [adversarial loss: 1.034289, acc: 0.343750] 12512: [discriminator loss: 0.592086, acc: 0.726562] [adversarial loss: 1.398383, acc: 0.187500] 12513: [discriminator loss: 0.652294, acc: 0.679688] [adversarial loss: 0.655959, acc: 0.640625] 12514: [discriminator loss: 0.542858, acc: 0.718750] [adversarial loss: 1.554155, acc: 0.156250] 12515: [discriminator loss: 0.576399, acc: 0.710938] [adversarial loss: 0.812708, acc: 0.515625] 12516: [discriminator loss: 0.627049, acc: 0.671875] [adversarial loss: 1.497966, acc: 0.109375] 12517: [discriminator loss: 0.578320, acc: 0.687500] [adversarial loss: 0.829109, acc: 0.468750] 12518: [discriminator loss: 0.501780, acc: 0.718750] [adversarial loss: 1.137653, acc: 0.265625] 12519: [discriminator loss: 0.509792, acc: 0.726562] [adversarial loss: 1.271903, acc: 0.187500] 12520: [discriminator loss: 0.574371, acc: 0.664062] [adversarial loss: 1.016093, acc: 0.359375] 12521: [discriminator loss: 0.580258, acc: 0.687500] [adversarial loss: 1.451707, acc: 0.078125] 12522: [discriminator loss: 0.521931, acc: 0.773438] [adversarial loss: 1.030621, acc: 0.281250] 12523: [discriminator loss: 0.542714, acc: 0.750000] [adversarial loss: 1.450110, acc: 0.140625] 12524: [discriminator loss: 0.601299, acc: 0.695312] [adversarial loss: 0.906362, acc: 0.359375] 12525: [discriminator loss: 0.565951, acc: 0.687500] [adversarial loss: 1.202184, acc: 0.203125] 12526: [discriminator loss: 0.495152, acc: 0.726562] [adversarial loss: 0.997655, acc: 0.375000] 12527: [discriminator loss: 0.544586, acc: 0.679688] [adversarial loss: 1.367830, acc: 0.140625] 12528: [discriminator loss: 0.568660, acc: 0.710938] [adversarial loss: 0.969481, acc: 0.468750] 12529: [discriminator loss: 0.559970, acc: 0.703125] [adversarial loss: 1.480043, acc: 0.140625] 12530: [discriminator loss: 0.541171, acc: 0.757812] [adversarial loss: 0.869475, acc: 0.406250] 12531: [discriminator loss: 0.557065, acc: 0.671875] [adversarial loss: 1.437657, acc: 0.250000] 12532: [discriminator loss: 0.614764, acc: 0.632812] [adversarial loss: 0.825744, acc: 0.531250] 12533: [discriminator loss: 0.604141, acc: 0.656250] [adversarial loss: 1.467836, acc: 0.156250] 12534: [discriminator loss: 0.577496, acc: 0.664062] [adversarial loss: 1.121357, acc: 0.265625] 12535: [discriminator loss: 0.545771, acc: 0.726562] [adversarial loss: 1.335955, acc: 0.187500] 12536: [discriminator loss: 0.487518, acc: 0.781250] [adversarial loss: 0.946227, acc: 0.406250] 12537: [discriminator loss: 0.652800, acc: 0.632812] [adversarial loss: 1.421954, acc: 0.234375] 12538: [discriminator loss: 0.490614, acc: 0.750000] [adversarial loss: 0.931955, acc: 0.375000] 12539: [discriminator loss: 0.525031, acc: 0.679688] [adversarial loss: 1.204735, acc: 0.250000] 12540: [discriminator loss: 0.456941, acc: 0.765625] [adversarial loss: 1.228060, acc: 0.296875] 12541: [discriminator loss: 0.523949, acc: 0.757812] [adversarial loss: 1.195873, acc: 0.218750] 12542: [discriminator loss: 0.475814, acc: 0.789062] [adversarial loss: 1.092747, acc: 0.359375] 12543: [discriminator loss: 0.566656, acc: 0.742188] [adversarial loss: 1.092761, acc: 0.328125] 12544: [discriminator loss: 0.563587, acc: 0.679688] [adversarial loss: 1.271402, acc: 0.187500] 12545: [discriminator loss: 0.470056, acc: 0.812500] [adversarial loss: 1.221790, acc: 0.218750] 12546: [discriminator loss: 0.549904, acc: 0.710938] [adversarial loss: 1.292952, acc: 0.156250] 12547: [discriminator loss: 0.533911, acc: 0.726562] [adversarial loss: 0.819563, acc: 0.437500] 12548: [discriminator loss: 0.570390, acc: 0.687500] [adversarial loss: 1.351315, acc: 0.140625] 12549: [discriminator loss: 0.597093, acc: 0.679688] [adversarial loss: 1.034924, acc: 0.265625] 12550: [discriminator loss: 0.527821, acc: 0.687500] [adversarial loss: 1.098849, acc: 0.218750] 12551: [discriminator loss: 0.509516, acc: 0.804688] [adversarial loss: 1.378907, acc: 0.171875] 12552: [discriminator loss: 0.554637, acc: 0.703125] [adversarial loss: 0.676742, acc: 0.593750] 12553: [discriminator loss: 0.600158, acc: 0.671875] [adversarial loss: 1.896448, acc: 0.078125] 12554: [discriminator loss: 0.598221, acc: 0.648438] [adversarial loss: 0.777883, acc: 0.578125] 12555: [discriminator loss: 0.625455, acc: 0.656250] [adversarial loss: 1.541385, acc: 0.125000] 12556: [discriminator loss: 0.626661, acc: 0.640625] [adversarial loss: 1.127133, acc: 0.281250] 12557: [discriminator loss: 0.541728, acc: 0.703125] [adversarial loss: 1.123803, acc: 0.281250] 12558: [discriminator loss: 0.493474, acc: 0.726562] [adversarial loss: 1.233222, acc: 0.203125] 12559: [discriminator loss: 0.545931, acc: 0.687500] [adversarial loss: 1.017736, acc: 0.296875] 12560: [discriminator loss: 0.602182, acc: 0.679688] [adversarial loss: 1.089121, acc: 0.250000] 12561: [discriminator loss: 0.608804, acc: 0.632812] [adversarial loss: 1.041698, acc: 0.296875] 12562: [discriminator loss: 0.520810, acc: 0.710938] [adversarial loss: 1.485942, acc: 0.140625] 12563: [discriminator loss: 0.545864, acc: 0.695312] [adversarial loss: 0.824995, acc: 0.437500] 12564: [discriminator loss: 0.576610, acc: 0.718750] [adversarial loss: 1.423937, acc: 0.156250] 12565: [discriminator loss: 0.606555, acc: 0.640625] [adversarial loss: 0.995008, acc: 0.312500] 12566: [discriminator loss: 0.556656, acc: 0.718750] [adversarial loss: 1.248028, acc: 0.203125] 12567: [discriminator loss: 0.505558, acc: 0.750000] [adversarial loss: 1.127285, acc: 0.328125] 12568: [discriminator loss: 0.593454, acc: 0.710938] [adversarial loss: 1.194544, acc: 0.265625] 12569: [discriminator loss: 0.667631, acc: 0.617188] [adversarial loss: 1.111427, acc: 0.250000] 12570: [discriminator loss: 0.547081, acc: 0.734375] [adversarial loss: 1.453501, acc: 0.109375] 12571: [discriminator loss: 0.539807, acc: 0.726562] [adversarial loss: 1.002250, acc: 0.343750] 12572: [discriminator loss: 0.596589, acc: 0.664062] [adversarial loss: 1.647000, acc: 0.078125] 12573: [discriminator loss: 0.560571, acc: 0.664062] [adversarial loss: 0.979339, acc: 0.359375] 12574: [discriminator loss: 0.551744, acc: 0.703125] [adversarial loss: 1.326285, acc: 0.093750] 12575: [discriminator loss: 0.571173, acc: 0.703125] [adversarial loss: 1.248628, acc: 0.187500] 12576: [discriminator loss: 0.542527, acc: 0.718750] [adversarial loss: 1.267776, acc: 0.156250] 12577: [discriminator loss: 0.546951, acc: 0.726562] [adversarial loss: 0.952999, acc: 0.359375] 12578: [discriminator loss: 0.520342, acc: 0.726562] [adversarial loss: 1.292492, acc: 0.218750] 12579: [discriminator loss: 0.580002, acc: 0.656250] [adversarial loss: 1.095130, acc: 0.234375] 12580: [discriminator loss: 0.554589, acc: 0.703125] [adversarial loss: 1.483724, acc: 0.109375] 12581: [discriminator loss: 0.511481, acc: 0.710938] [adversarial loss: 1.043198, acc: 0.296875] 12582: [discriminator loss: 0.584152, acc: 0.687500] [adversarial loss: 1.425545, acc: 0.140625] 12583: [discriminator loss: 0.578176, acc: 0.656250] [adversarial loss: 0.786867, acc: 0.484375] 12584: [discriminator loss: 0.541085, acc: 0.718750] [adversarial loss: 1.554500, acc: 0.078125] 12585: [discriminator loss: 0.578230, acc: 0.703125] [adversarial loss: 1.161493, acc: 0.156250] 12586: [discriminator loss: 0.554154, acc: 0.734375] [adversarial loss: 1.288172, acc: 0.218750] 12587: [discriminator loss: 0.492960, acc: 0.812500] [adversarial loss: 1.252475, acc: 0.328125] 12588: [discriminator loss: 0.530333, acc: 0.710938] [adversarial loss: 0.914701, acc: 0.468750] 12589: [discriminator loss: 0.494299, acc: 0.718750] [adversarial loss: 1.311898, acc: 0.171875] 12590: [discriminator loss: 0.566863, acc: 0.687500] [adversarial loss: 1.110032, acc: 0.359375] 12591: [discriminator loss: 0.558408, acc: 0.726562] [adversarial loss: 1.360549, acc: 0.140625] 12592: [discriminator loss: 0.578719, acc: 0.640625] [adversarial loss: 0.774469, acc: 0.515625] 12593: [discriminator loss: 0.568486, acc: 0.695312] [adversarial loss: 1.535109, acc: 0.093750] 12594: [discriminator loss: 0.687005, acc: 0.656250] [adversarial loss: 0.786206, acc: 0.437500] 12595: [discriminator loss: 0.650226, acc: 0.632812] [adversarial loss: 1.746803, acc: 0.046875] 12596: [discriminator loss: 0.585984, acc: 0.656250] [adversarial loss: 0.854396, acc: 0.453125] 12597: [discriminator loss: 0.573483, acc: 0.718750] [adversarial loss: 1.629372, acc: 0.046875] 12598: [discriminator loss: 0.661543, acc: 0.625000] [adversarial loss: 0.644906, acc: 0.687500] 12599: [discriminator loss: 0.579295, acc: 0.656250] [adversarial loss: 1.461599, acc: 0.109375] 12600: [discriminator loss: 0.535754, acc: 0.710938] [adversarial loss: 1.117609, acc: 0.296875] 12601: [discriminator loss: 0.507146, acc: 0.773438] [adversarial loss: 1.286169, acc: 0.125000] 12602: [discriminator loss: 0.575520, acc: 0.664062] [adversarial loss: 1.052768, acc: 0.343750] 12603: [discriminator loss: 0.484122, acc: 0.757812] [adversarial loss: 1.237553, acc: 0.171875] 12604: [discriminator loss: 0.523977, acc: 0.734375] [adversarial loss: 1.196753, acc: 0.265625] 12605: [discriminator loss: 0.497435, acc: 0.726562] [adversarial loss: 1.211035, acc: 0.187500] 12606: [discriminator loss: 0.629334, acc: 0.632812] [adversarial loss: 1.107696, acc: 0.281250] 12607: [discriminator loss: 0.470866, acc: 0.789062] [adversarial loss: 1.265733, acc: 0.218750] 12608: [discriminator loss: 0.563052, acc: 0.679688] [adversarial loss: 1.097676, acc: 0.250000] 12609: [discriminator loss: 0.522187, acc: 0.757812] [adversarial loss: 1.232654, acc: 0.187500] 12610: [discriminator loss: 0.554101, acc: 0.742188] [adversarial loss: 1.052942, acc: 0.281250] 12611: [discriminator loss: 0.604197, acc: 0.640625] [adversarial loss: 1.182062, acc: 0.250000] 12612: [discriminator loss: 0.532374, acc: 0.695312] [adversarial loss: 0.967905, acc: 0.296875] 12613: [discriminator loss: 0.545964, acc: 0.718750] [adversarial loss: 1.192797, acc: 0.312500] 12614: [discriminator loss: 0.579935, acc: 0.710938] [adversarial loss: 1.109411, acc: 0.250000] 12615: [discriminator loss: 0.551828, acc: 0.726562] [adversarial loss: 1.283163, acc: 0.234375] 12616: [discriminator loss: 0.514430, acc: 0.734375] [adversarial loss: 0.995728, acc: 0.390625] 12617: [discriminator loss: 0.551061, acc: 0.718750] [adversarial loss: 1.494076, acc: 0.109375] 12618: [discriminator loss: 0.549339, acc: 0.726562] [adversarial loss: 0.895363, acc: 0.421875] 12619: [discriminator loss: 0.568986, acc: 0.726562] [adversarial loss: 1.759794, acc: 0.031250] 12620: [discriminator loss: 0.601883, acc: 0.710938] [adversarial loss: 0.911441, acc: 0.359375] 12621: [discriminator loss: 0.589700, acc: 0.695312] [adversarial loss: 1.559886, acc: 0.093750] 12622: [discriminator loss: 0.554198, acc: 0.718750] [adversarial loss: 0.910557, acc: 0.375000] 12623: [discriminator loss: 0.544817, acc: 0.718750] [adversarial loss: 1.381593, acc: 0.140625] 12624: [discriminator loss: 0.568639, acc: 0.695312] [adversarial loss: 0.907131, acc: 0.421875] 12625: [discriminator loss: 0.592738, acc: 0.726562] [adversarial loss: 1.425999, acc: 0.203125] 12626: [discriminator loss: 0.580677, acc: 0.718750] [adversarial loss: 1.042965, acc: 0.343750] 12627: [discriminator loss: 0.499490, acc: 0.757812] [adversarial loss: 1.132699, acc: 0.265625] 12628: [discriminator loss: 0.514265, acc: 0.750000] [adversarial loss: 1.205150, acc: 0.171875] 12629: [discriminator loss: 0.546305, acc: 0.742188] [adversarial loss: 0.952986, acc: 0.359375] 12630: [discriminator loss: 0.593795, acc: 0.718750] [adversarial loss: 1.628564, acc: 0.078125] 12631: [discriminator loss: 0.580049, acc: 0.695312] [adversarial loss: 0.926664, acc: 0.359375] 12632: [discriminator loss: 0.527686, acc: 0.765625] [adversarial loss: 1.434718, acc: 0.140625] 12633: [discriminator loss: 0.582330, acc: 0.671875] [adversarial loss: 0.925130, acc: 0.375000] 12634: [discriminator loss: 0.585548, acc: 0.664062] [adversarial loss: 1.322330, acc: 0.171875] 12635: [discriminator loss: 0.635848, acc: 0.593750] [adversarial loss: 0.918155, acc: 0.406250] 12636: [discriminator loss: 0.541357, acc: 0.734375] [adversarial loss: 1.381623, acc: 0.187500] 12637: [discriminator loss: 0.575170, acc: 0.687500] [adversarial loss: 1.140657, acc: 0.250000] 12638: [discriminator loss: 0.494264, acc: 0.796875] [adversarial loss: 0.934129, acc: 0.406250] 12639: [discriminator loss: 0.500254, acc: 0.781250] [adversarial loss: 1.257554, acc: 0.234375] 12640: [discriminator loss: 0.529452, acc: 0.710938] [adversarial loss: 0.989130, acc: 0.343750] 12641: [discriminator loss: 0.603242, acc: 0.710938] [adversarial loss: 1.567673, acc: 0.062500] 12642: [discriminator loss: 0.591602, acc: 0.679688] [adversarial loss: 0.890774, acc: 0.515625] 12643: [discriminator loss: 0.562277, acc: 0.703125] [adversarial loss: 1.184668, acc: 0.281250] 12644: [discriminator loss: 0.554686, acc: 0.718750] [adversarial loss: 1.122807, acc: 0.328125] 12645: [discriminator loss: 0.559799, acc: 0.765625] [adversarial loss: 1.293474, acc: 0.171875] 12646: [discriminator loss: 0.490644, acc: 0.757812] [adversarial loss: 1.133521, acc: 0.296875] 12647: [discriminator loss: 0.480485, acc: 0.750000] [adversarial loss: 1.109927, acc: 0.250000] 12648: [discriminator loss: 0.560867, acc: 0.679688] [adversarial loss: 0.914988, acc: 0.375000] 12649: [discriminator loss: 0.578134, acc: 0.710938] [adversarial loss: 1.202384, acc: 0.171875] 12650: [discriminator loss: 0.561178, acc: 0.703125] [adversarial loss: 1.147150, acc: 0.171875] 12651: [discriminator loss: 0.552284, acc: 0.734375] [adversarial loss: 1.465346, acc: 0.125000] 12652: [discriminator loss: 0.586677, acc: 0.648438] [adversarial loss: 0.774263, acc: 0.578125] 12653: [discriminator loss: 0.582931, acc: 0.710938] [adversarial loss: 1.925173, acc: 0.015625] 12654: [discriminator loss: 0.633907, acc: 0.632812] [adversarial loss: 0.717464, acc: 0.484375] 12655: [discriminator loss: 0.567441, acc: 0.703125] [adversarial loss: 1.449329, acc: 0.078125] 12656: [discriminator loss: 0.515106, acc: 0.710938] [adversarial loss: 0.943636, acc: 0.406250] 12657: [discriminator loss: 0.593562, acc: 0.671875] [adversarial loss: 1.221842, acc: 0.312500] 12658: [discriminator loss: 0.510009, acc: 0.757812] [adversarial loss: 1.265249, acc: 0.187500] 12659: [discriminator loss: 0.534648, acc: 0.773438] [adversarial loss: 0.893849, acc: 0.437500] 12660: [discriminator loss: 0.550651, acc: 0.757812] [adversarial loss: 1.235501, acc: 0.250000] 12661: [discriminator loss: 0.578757, acc: 0.664062] [adversarial loss: 1.076240, acc: 0.218750] 12662: [discriminator loss: 0.524169, acc: 0.726562] [adversarial loss: 0.965251, acc: 0.359375] 12663: [discriminator loss: 0.515309, acc: 0.789062] [adversarial loss: 1.394347, acc: 0.203125] 12664: [discriminator loss: 0.570072, acc: 0.710938] [adversarial loss: 0.861452, acc: 0.453125] 12665: [discriminator loss: 0.513558, acc: 0.750000] [adversarial loss: 1.527603, acc: 0.093750] 12666: [discriminator loss: 0.485047, acc: 0.765625] [adversarial loss: 1.158619, acc: 0.281250] 12667: [discriminator loss: 0.475934, acc: 0.796875] [adversarial loss: 1.294442, acc: 0.203125] 12668: [discriminator loss: 0.514025, acc: 0.703125] [adversarial loss: 1.268081, acc: 0.234375] 12669: [discriminator loss: 0.525441, acc: 0.718750] [adversarial loss: 1.022093, acc: 0.328125] 12670: [discriminator loss: 0.537838, acc: 0.718750] [adversarial loss: 1.361295, acc: 0.203125] 12671: [discriminator loss: 0.601994, acc: 0.656250] [adversarial loss: 1.133348, acc: 0.203125] 12672: [discriminator loss: 0.552657, acc: 0.757812] [adversarial loss: 1.296082, acc: 0.171875] 12673: [discriminator loss: 0.550357, acc: 0.757812] [adversarial loss: 1.487967, acc: 0.125000] 12674: [discriminator loss: 0.518798, acc: 0.726562] [adversarial loss: 0.861834, acc: 0.468750] 12675: [discriminator loss: 0.607659, acc: 0.656250] [adversarial loss: 1.981116, acc: 0.046875] 12676: [discriminator loss: 0.606420, acc: 0.687500] [adversarial loss: 0.850779, acc: 0.484375] 12677: [discriminator loss: 0.613396, acc: 0.679688] [adversarial loss: 1.379890, acc: 0.187500] 12678: [discriminator loss: 0.597404, acc: 0.648438] [adversarial loss: 0.984532, acc: 0.406250] 12679: [discriminator loss: 0.620793, acc: 0.609375] [adversarial loss: 1.478632, acc: 0.109375] 12680: [discriminator loss: 0.598292, acc: 0.640625] [adversarial loss: 0.995723, acc: 0.390625] 12681: [discriminator loss: 0.505268, acc: 0.773438] [adversarial loss: 1.427845, acc: 0.078125] 12682: [discriminator loss: 0.583387, acc: 0.695312] [adversarial loss: 0.884541, acc: 0.328125] 12683: [discriminator loss: 0.577575, acc: 0.695312] [adversarial loss: 1.671683, acc: 0.109375] 12684: [discriminator loss: 0.609623, acc: 0.687500] [adversarial loss: 1.093300, acc: 0.328125] 12685: [discriminator loss: 0.609393, acc: 0.687500] [adversarial loss: 1.403344, acc: 0.062500] 12686: [discriminator loss: 0.595773, acc: 0.695312] [adversarial loss: 0.829389, acc: 0.406250] 12687: [discriminator loss: 0.576634, acc: 0.679688] [adversarial loss: 1.375445, acc: 0.109375] 12688: [discriminator loss: 0.543172, acc: 0.718750] [adversarial loss: 1.114811, acc: 0.250000] 12689: [discriminator loss: 0.535792, acc: 0.773438] [adversarial loss: 1.390860, acc: 0.171875] 12690: [discriminator loss: 0.584809, acc: 0.679688] [adversarial loss: 0.933837, acc: 0.390625] 12691: [discriminator loss: 0.611007, acc: 0.664062] [adversarial loss: 1.352480, acc: 0.218750] 12692: [discriminator loss: 0.539946, acc: 0.695312] [adversarial loss: 1.040928, acc: 0.328125] 12693: [discriminator loss: 0.590757, acc: 0.695312] [adversarial loss: 1.276290, acc: 0.109375] 12694: [discriminator loss: 0.513051, acc: 0.742188] [adversarial loss: 0.878560, acc: 0.468750] 12695: [discriminator loss: 0.512064, acc: 0.757812] [adversarial loss: 1.375240, acc: 0.093750] 12696: [discriminator loss: 0.572985, acc: 0.703125] [adversarial loss: 0.915992, acc: 0.390625] 12697: [discriminator loss: 0.574831, acc: 0.687500] [adversarial loss: 1.519461, acc: 0.093750] 12698: [discriminator loss: 0.535976, acc: 0.742188] [adversarial loss: 1.042436, acc: 0.281250] 12699: [discriminator loss: 0.553667, acc: 0.671875] [adversarial loss: 1.465306, acc: 0.156250] 12700: [discriminator loss: 0.557697, acc: 0.703125] [adversarial loss: 1.261808, acc: 0.156250] 12701: [discriminator loss: 0.580303, acc: 0.695312] [adversarial loss: 1.388668, acc: 0.171875] 12702: [discriminator loss: 0.529598, acc: 0.718750] [adversarial loss: 0.916004, acc: 0.375000] 12703: [discriminator loss: 0.530009, acc: 0.710938] [adversarial loss: 1.118490, acc: 0.281250] 12704: [discriminator loss: 0.491074, acc: 0.804688] [adversarial loss: 1.036314, acc: 0.312500] 12705: [discriminator loss: 0.518609, acc: 0.765625] [adversarial loss: 1.218713, acc: 0.187500] 12706: [discriminator loss: 0.589442, acc: 0.664062] [adversarial loss: 1.047461, acc: 0.312500] 12707: [discriminator loss: 0.541324, acc: 0.742188] [adversarial loss: 1.495021, acc: 0.093750] 12708: [discriminator loss: 0.502555, acc: 0.750000] [adversarial loss: 0.976006, acc: 0.328125] 12709: [discriminator loss: 0.553958, acc: 0.695312] [adversarial loss: 1.658940, acc: 0.156250] 12710: [discriminator loss: 0.608465, acc: 0.664062] [adversarial loss: 0.767058, acc: 0.578125] 12711: [discriminator loss: 0.543455, acc: 0.710938] [adversarial loss: 1.320952, acc: 0.234375] 12712: [discriminator loss: 0.560485, acc: 0.718750] [adversarial loss: 1.019289, acc: 0.328125] 12713: [discriminator loss: 0.484586, acc: 0.789062] [adversarial loss: 1.055794, acc: 0.343750] 12714: [discriminator loss: 0.660449, acc: 0.585938] [adversarial loss: 1.206996, acc: 0.171875] 12715: [discriminator loss: 0.542325, acc: 0.703125] [adversarial loss: 1.265209, acc: 0.265625] 12716: [discriminator loss: 0.546963, acc: 0.687500] [adversarial loss: 1.300049, acc: 0.171875] 12717: [discriminator loss: 0.501772, acc: 0.718750] [adversarial loss: 0.787246, acc: 0.421875] 12718: [discriminator loss: 0.563744, acc: 0.718750] [adversarial loss: 1.209504, acc: 0.156250] 12719: [discriminator loss: 0.576756, acc: 0.695312] [adversarial loss: 1.020625, acc: 0.296875] 12720: [discriminator loss: 0.528901, acc: 0.679688] [adversarial loss: 1.198673, acc: 0.234375] 12721: [discriminator loss: 0.478292, acc: 0.742188] [adversarial loss: 0.757129, acc: 0.531250] 12722: [discriminator loss: 0.546930, acc: 0.734375] [adversarial loss: 1.263020, acc: 0.156250] 12723: [discriminator loss: 0.513695, acc: 0.789062] [adversarial loss: 0.998280, acc: 0.390625] 12724: [discriminator loss: 0.598323, acc: 0.671875] [adversarial loss: 1.262201, acc: 0.171875] 12725: [discriminator loss: 0.617737, acc: 0.632812] [adversarial loss: 0.867099, acc: 0.421875] 12726: [discriminator loss: 0.606816, acc: 0.710938] [adversarial loss: 1.784984, acc: 0.093750] 12727: [discriminator loss: 0.581113, acc: 0.656250] [adversarial loss: 0.741048, acc: 0.531250] 12728: [discriminator loss: 0.617846, acc: 0.679688] [adversarial loss: 1.508840, acc: 0.078125] 12729: [discriminator loss: 0.502892, acc: 0.742188] [adversarial loss: 1.073659, acc: 0.296875] 12730: [discriminator loss: 0.549334, acc: 0.671875] [adversarial loss: 1.368995, acc: 0.125000] 12731: [discriminator loss: 0.525129, acc: 0.742188] [adversarial loss: 0.925435, acc: 0.421875] 12732: [discriminator loss: 0.548855, acc: 0.734375] [adversarial loss: 1.265341, acc: 0.234375] 12733: [discriminator loss: 0.558801, acc: 0.734375] [adversarial loss: 0.877315, acc: 0.437500] 12734: [discriminator loss: 0.582720, acc: 0.695312] [adversarial loss: 1.355764, acc: 0.187500] 12735: [discriminator loss: 0.528494, acc: 0.671875] [adversarial loss: 0.988404, acc: 0.390625] 12736: [discriminator loss: 0.459299, acc: 0.804688] [adversarial loss: 1.269162, acc: 0.218750] 12737: [discriminator loss: 0.517725, acc: 0.742188] [adversarial loss: 0.936040, acc: 0.437500] 12738: [discriminator loss: 0.514444, acc: 0.710938] [adversarial loss: 1.395601, acc: 0.109375] 12739: [discriminator loss: 0.528120, acc: 0.734375] [adversarial loss: 0.816726, acc: 0.453125] 12740: [discriminator loss: 0.591455, acc: 0.679688] [adversarial loss: 1.446852, acc: 0.218750] 12741: [discriminator loss: 0.585847, acc: 0.664062] [adversarial loss: 1.156203, acc: 0.265625] 12742: [discriminator loss: 0.568974, acc: 0.656250] [adversarial loss: 1.473367, acc: 0.171875] 12743: [discriminator loss: 0.558686, acc: 0.695312] [adversarial loss: 0.945437, acc: 0.375000] 12744: [discriminator loss: 0.583866, acc: 0.710938] [adversarial loss: 1.427566, acc: 0.109375] 12745: [discriminator loss: 0.596077, acc: 0.695312] [adversarial loss: 0.917395, acc: 0.375000] 12746: [discriminator loss: 0.548558, acc: 0.757812] [adversarial loss: 1.317025, acc: 0.125000] 12747: [discriminator loss: 0.487924, acc: 0.781250] [adversarial loss: 1.015048, acc: 0.343750] 12748: [discriminator loss: 0.584861, acc: 0.671875] [adversarial loss: 1.361200, acc: 0.187500] 12749: [discriminator loss: 0.479423, acc: 0.773438] [adversarial loss: 1.058327, acc: 0.312500] 12750: [discriminator loss: 0.529396, acc: 0.718750] [adversarial loss: 1.131460, acc: 0.187500] 12751: [discriminator loss: 0.501540, acc: 0.742188] [adversarial loss: 1.059634, acc: 0.296875] 12752: [discriminator loss: 0.589374, acc: 0.695312] [adversarial loss: 1.354117, acc: 0.140625] 12753: [discriminator loss: 0.545627, acc: 0.695312] [adversarial loss: 0.989589, acc: 0.390625] 12754: [discriminator loss: 0.593545, acc: 0.710938] [adversarial loss: 1.294812, acc: 0.125000] 12755: [discriminator loss: 0.547986, acc: 0.742188] [adversarial loss: 0.875352, acc: 0.406250] 12756: [discriminator loss: 0.525214, acc: 0.796875] [adversarial loss: 1.289212, acc: 0.187500] 12757: [discriminator loss: 0.543323, acc: 0.734375] [adversarial loss: 0.983220, acc: 0.328125] 12758: [discriminator loss: 0.542483, acc: 0.765625] [adversarial loss: 1.284981, acc: 0.171875] 12759: [discriminator loss: 0.606384, acc: 0.671875] [adversarial loss: 0.780533, acc: 0.484375] 12760: [discriminator loss: 0.583730, acc: 0.648438] [adversarial loss: 1.399529, acc: 0.109375] 12761: [discriminator loss: 0.544551, acc: 0.703125] [adversarial loss: 0.852151, acc: 0.500000] 12762: [discriminator loss: 0.556934, acc: 0.664062] [adversarial loss: 1.384628, acc: 0.156250] 12763: [discriminator loss: 0.572741, acc: 0.656250] [adversarial loss: 1.223355, acc: 0.140625] 12764: [discriminator loss: 0.601056, acc: 0.671875] [adversarial loss: 1.010033, acc: 0.406250] 12765: [discriminator loss: 0.508526, acc: 0.718750] [adversarial loss: 1.039480, acc: 0.328125] 12766: [discriminator loss: 0.564248, acc: 0.718750] [adversarial loss: 1.291204, acc: 0.171875] 12767: [discriminator loss: 0.513322, acc: 0.750000] [adversarial loss: 1.052647, acc: 0.218750] 12768: [discriminator loss: 0.582141, acc: 0.671875] [adversarial loss: 1.242031, acc: 0.265625] 12769: [discriminator loss: 0.525921, acc: 0.742188] [adversarial loss: 1.309503, acc: 0.187500] 12770: [discriminator loss: 0.526076, acc: 0.718750] [adversarial loss: 1.000950, acc: 0.296875] 12771: [discriminator loss: 0.593979, acc: 0.664062] [adversarial loss: 1.068551, acc: 0.250000] 12772: [discriminator loss: 0.615806, acc: 0.671875] [adversarial loss: 0.950525, acc: 0.406250] 12773: [discriminator loss: 0.498150, acc: 0.734375] [adversarial loss: 1.506156, acc: 0.125000] 12774: [discriminator loss: 0.576440, acc: 0.718750] [adversarial loss: 0.797156, acc: 0.437500] 12775: [discriminator loss: 0.550943, acc: 0.710938] [adversarial loss: 1.337494, acc: 0.187500] 12776: [discriminator loss: 0.510041, acc: 0.726562] [adversarial loss: 1.251001, acc: 0.281250] 12777: [discriminator loss: 0.510672, acc: 0.765625] [adversarial loss: 1.381826, acc: 0.203125] 12778: [discriminator loss: 0.537021, acc: 0.671875] [adversarial loss: 0.823279, acc: 0.484375] 12779: [discriminator loss: 0.619761, acc: 0.718750] [adversarial loss: 1.621597, acc: 0.078125] 12780: [discriminator loss: 0.587977, acc: 0.718750] [adversarial loss: 0.770849, acc: 0.515625] 12781: [discriminator loss: 0.556754, acc: 0.742188] [adversarial loss: 1.427661, acc: 0.093750] 12782: [discriminator loss: 0.530227, acc: 0.718750] [adversarial loss: 0.962519, acc: 0.265625] 12783: [discriminator loss: 0.510877, acc: 0.812500] [adversarial loss: 1.298110, acc: 0.125000] 12784: [discriminator loss: 0.531608, acc: 0.734375] [adversarial loss: 1.134251, acc: 0.265625] 12785: [discriminator loss: 0.663428, acc: 0.640625] [adversarial loss: 1.203568, acc: 0.312500] 12786: [discriminator loss: 0.609999, acc: 0.648438] [adversarial loss: 1.073825, acc: 0.203125] 12787: [discriminator loss: 0.524166, acc: 0.718750] [adversarial loss: 1.458689, acc: 0.171875] 12788: [discriminator loss: 0.575366, acc: 0.679688] [adversarial loss: 1.164598, acc: 0.265625] 12789: [discriminator loss: 0.502131, acc: 0.718750] [adversarial loss: 1.424285, acc: 0.125000] 12790: [discriminator loss: 0.600974, acc: 0.742188] [adversarial loss: 0.942528, acc: 0.343750] 12791: [discriminator loss: 0.587414, acc: 0.695312] [adversarial loss: 1.449822, acc: 0.109375] 12792: [discriminator loss: 0.659382, acc: 0.601562] [adversarial loss: 0.722305, acc: 0.578125] 12793: [discriminator loss: 0.591064, acc: 0.671875] [adversarial loss: 1.687623, acc: 0.125000] 12794: [discriminator loss: 0.615523, acc: 0.648438] [adversarial loss: 0.884284, acc: 0.437500] 12795: [discriminator loss: 0.514453, acc: 0.765625] [adversarial loss: 1.400502, acc: 0.234375] 12796: [discriminator loss: 0.571292, acc: 0.687500] [adversarial loss: 0.934099, acc: 0.406250] 12797: [discriminator loss: 0.527402, acc: 0.765625] [adversarial loss: 1.387870, acc: 0.203125] 12798: [discriminator loss: 0.541864, acc: 0.656250] [adversarial loss: 1.127291, acc: 0.328125] 12799: [discriminator loss: 0.616573, acc: 0.632812] [adversarial loss: 1.078461, acc: 0.296875] 12800: [discriminator loss: 0.527245, acc: 0.703125] [adversarial loss: 1.369177, acc: 0.109375] 12801: [discriminator loss: 0.577899, acc: 0.726562] [adversarial loss: 1.052169, acc: 0.343750] 12802: [discriminator loss: 0.557191, acc: 0.703125] [adversarial loss: 1.056716, acc: 0.250000] 12803: [discriminator loss: 0.511427, acc: 0.671875] [adversarial loss: 1.115660, acc: 0.312500] 12804: [discriminator loss: 0.512671, acc: 0.742188] [adversarial loss: 1.303414, acc: 0.218750] 12805: [discriminator loss: 0.534968, acc: 0.750000] [adversarial loss: 1.260252, acc: 0.171875] 12806: [discriminator loss: 0.533008, acc: 0.750000] [adversarial loss: 1.334865, acc: 0.250000] 12807: [discriminator loss: 0.586757, acc: 0.695312] [adversarial loss: 1.253547, acc: 0.187500] 12808: [discriminator loss: 0.506249, acc: 0.757812] [adversarial loss: 0.959139, acc: 0.359375] 12809: [discriminator loss: 0.559452, acc: 0.710938] [adversarial loss: 1.390236, acc: 0.046875] 12810: [discriminator loss: 0.527104, acc: 0.695312] [adversarial loss: 1.028296, acc: 0.359375] 12811: [discriminator loss: 0.548056, acc: 0.726562] [adversarial loss: 1.331567, acc: 0.125000] 12812: [discriminator loss: 0.596665, acc: 0.695312] [adversarial loss: 0.788525, acc: 0.515625] 12813: [discriminator loss: 0.566024, acc: 0.679688] [adversarial loss: 1.479369, acc: 0.125000] 12814: [discriminator loss: 0.568870, acc: 0.703125] [adversarial loss: 1.050394, acc: 0.343750] 12815: [discriminator loss: 0.533322, acc: 0.734375] [adversarial loss: 1.473235, acc: 0.109375] 12816: [discriminator loss: 0.492347, acc: 0.773438] [adversarial loss: 0.891874, acc: 0.453125] 12817: [discriminator loss: 0.571670, acc: 0.742188] [adversarial loss: 1.446416, acc: 0.218750] 12818: [discriminator loss: 0.538105, acc: 0.703125] [adversarial loss: 0.741539, acc: 0.562500] 12819: [discriminator loss: 0.659943, acc: 0.679688] [adversarial loss: 1.697749, acc: 0.078125] 12820: [discriminator loss: 0.645972, acc: 0.671875] [adversarial loss: 0.897751, acc: 0.500000] 12821: [discriminator loss: 0.533091, acc: 0.718750] [adversarial loss: 1.201833, acc: 0.265625] 12822: [discriminator loss: 0.543032, acc: 0.734375] [adversarial loss: 0.890908, acc: 0.437500] 12823: [discriminator loss: 0.569043, acc: 0.742188] [adversarial loss: 1.557502, acc: 0.093750] 12824: [discriminator loss: 0.544633, acc: 0.710938] [adversarial loss: 1.008010, acc: 0.312500] 12825: [discriminator loss: 0.539673, acc: 0.726562] [adversarial loss: 1.411766, acc: 0.171875] 12826: [discriminator loss: 0.584684, acc: 0.695312] [adversarial loss: 0.960188, acc: 0.359375] 12827: [discriminator loss: 0.584380, acc: 0.679688] [adversarial loss: 1.226854, acc: 0.234375] 12828: [discriminator loss: 0.522512, acc: 0.750000] [adversarial loss: 1.022109, acc: 0.328125] 12829: [discriminator loss: 0.527162, acc: 0.742188] [adversarial loss: 1.400308, acc: 0.109375] 12830: [discriminator loss: 0.547429, acc: 0.742188] [adversarial loss: 0.894503, acc: 0.468750] 12831: [discriminator loss: 0.546905, acc: 0.703125] [adversarial loss: 1.381031, acc: 0.171875] 12832: [discriminator loss: 0.471084, acc: 0.765625] [adversarial loss: 0.937733, acc: 0.375000] 12833: [discriminator loss: 0.591183, acc: 0.703125] [adversarial loss: 1.323118, acc: 0.218750] 12834: [discriminator loss: 0.536968, acc: 0.757812] [adversarial loss: 1.334853, acc: 0.218750] 12835: [discriminator loss: 0.597782, acc: 0.703125] [adversarial loss: 1.324772, acc: 0.140625] 12836: [discriminator loss: 0.520966, acc: 0.718750] [adversarial loss: 1.035546, acc: 0.234375] 12837: [discriminator loss: 0.529203, acc: 0.726562] [adversarial loss: 1.130530, acc: 0.218750] 12838: [discriminator loss: 0.584012, acc: 0.734375] [adversarial loss: 1.374680, acc: 0.187500] 12839: [discriminator loss: 0.556435, acc: 0.703125] [adversarial loss: 1.085996, acc: 0.296875] 12840: [discriminator loss: 0.575515, acc: 0.703125] [adversarial loss: 1.326383, acc: 0.156250] 12841: [discriminator loss: 0.536788, acc: 0.765625] [adversarial loss: 1.186927, acc: 0.234375] 12842: [discriminator loss: 0.596265, acc: 0.671875] [adversarial loss: 0.933372, acc: 0.390625] 12843: [discriminator loss: 0.524027, acc: 0.773438] [adversarial loss: 1.148369, acc: 0.203125] 12844: [discriminator loss: 0.491140, acc: 0.742188] [adversarial loss: 0.937238, acc: 0.390625] 12845: [discriminator loss: 0.571257, acc: 0.718750] [adversarial loss: 1.669666, acc: 0.093750] 12846: [discriminator loss: 0.633519, acc: 0.687500] [adversarial loss: 0.725261, acc: 0.593750] 12847: [discriminator loss: 0.596862, acc: 0.671875] [adversarial loss: 1.425507, acc: 0.187500] 12848: [discriminator loss: 0.546083, acc: 0.726562] [adversarial loss: 1.087915, acc: 0.312500] 12849: [discriminator loss: 0.558557, acc: 0.703125] [adversarial loss: 1.335097, acc: 0.140625] 12850: [discriminator loss: 0.599956, acc: 0.632812] [adversarial loss: 0.956964, acc: 0.375000] 12851: [discriminator loss: 0.583867, acc: 0.703125] [adversarial loss: 1.420908, acc: 0.140625] 12852: [discriminator loss: 0.530420, acc: 0.757812] [adversarial loss: 1.012993, acc: 0.218750] 12853: [discriminator loss: 0.564738, acc: 0.640625] [adversarial loss: 1.367565, acc: 0.109375] 12854: [discriminator loss: 0.537864, acc: 0.703125] [adversarial loss: 0.943989, acc: 0.437500] 12855: [discriminator loss: 0.560352, acc: 0.671875] [adversarial loss: 1.417022, acc: 0.125000] 12856: [discriminator loss: 0.583014, acc: 0.648438] [adversarial loss: 1.109350, acc: 0.312500] 12857: [discriminator loss: 0.612207, acc: 0.679688] [adversarial loss: 1.438038, acc: 0.187500] 12858: [discriminator loss: 0.647206, acc: 0.656250] [adversarial loss: 0.845596, acc: 0.468750] 12859: [discriminator loss: 0.574247, acc: 0.726562] [adversarial loss: 1.441427, acc: 0.171875] 12860: [discriminator loss: 0.488552, acc: 0.718750] [adversarial loss: 0.929483, acc: 0.437500] 12861: [discriminator loss: 0.630625, acc: 0.593750] [adversarial loss: 1.432099, acc: 0.125000] 12862: [discriminator loss: 0.547073, acc: 0.726562] [adversarial loss: 1.014215, acc: 0.406250] 12863: [discriminator loss: 0.512573, acc: 0.750000] [adversarial loss: 1.180170, acc: 0.218750] 12864: [discriminator loss: 0.525122, acc: 0.671875] [adversarial loss: 1.002454, acc: 0.359375] 12865: [discriminator loss: 0.538882, acc: 0.765625] [adversarial loss: 1.317111, acc: 0.156250] 12866: [discriminator loss: 0.612208, acc: 0.632812] [adversarial loss: 0.884453, acc: 0.468750] 12867: [discriminator loss: 0.494476, acc: 0.734375] [adversarial loss: 1.369599, acc: 0.171875] 12868: [discriminator loss: 0.554674, acc: 0.742188] [adversarial loss: 0.934340, acc: 0.359375] 12869: [discriminator loss: 0.540572, acc: 0.718750] [adversarial loss: 1.205663, acc: 0.265625] 12870: [discriminator loss: 0.551880, acc: 0.703125] [adversarial loss: 1.064995, acc: 0.343750] 12871: [discriminator loss: 0.541160, acc: 0.718750] [adversarial loss: 1.407772, acc: 0.281250] 12872: [discriminator loss: 0.607083, acc: 0.664062] [adversarial loss: 1.244054, acc: 0.296875] 12873: [discriminator loss: 0.527334, acc: 0.750000] [adversarial loss: 1.180666, acc: 0.250000] 12874: [discriminator loss: 0.576050, acc: 0.679688] [adversarial loss: 1.235196, acc: 0.265625] 12875: [discriminator loss: 0.578476, acc: 0.664062] [adversarial loss: 1.101365, acc: 0.312500] 12876: [discriminator loss: 0.564506, acc: 0.718750] [adversarial loss: 1.100847, acc: 0.328125] 12877: [discriminator loss: 0.460041, acc: 0.812500] [adversarial loss: 1.087683, acc: 0.312500] 12878: [discriminator loss: 0.590053, acc: 0.718750] [adversarial loss: 1.063462, acc: 0.234375] 12879: [discriminator loss: 0.518981, acc: 0.703125] [adversarial loss: 1.215094, acc: 0.265625] 12880: [discriminator loss: 0.576989, acc: 0.695312] [adversarial loss: 0.844165, acc: 0.406250] 12881: [discriminator loss: 0.574158, acc: 0.703125] [adversarial loss: 1.697297, acc: 0.109375] 12882: [discriminator loss: 0.514733, acc: 0.734375] [adversarial loss: 0.706830, acc: 0.546875] 12883: [discriminator loss: 0.625414, acc: 0.656250] [adversarial loss: 1.562788, acc: 0.125000] 12884: [discriminator loss: 0.551949, acc: 0.664062] [adversarial loss: 0.998533, acc: 0.281250] 12885: [discriminator loss: 0.522458, acc: 0.734375] [adversarial loss: 1.075113, acc: 0.328125] 12886: [discriminator loss: 0.537850, acc: 0.757812] [adversarial loss: 1.170620, acc: 0.296875] 12887: [discriminator loss: 0.506747, acc: 0.757812] [adversarial loss: 1.039439, acc: 0.328125] 12888: [discriminator loss: 0.612003, acc: 0.671875] [adversarial loss: 1.191399, acc: 0.265625] 12889: [discriminator loss: 0.514216, acc: 0.765625] [adversarial loss: 1.158831, acc: 0.250000] 12890: [discriminator loss: 0.525112, acc: 0.726562] [adversarial loss: 1.088825, acc: 0.390625] 12891: [discriminator loss: 0.518460, acc: 0.757812] [adversarial loss: 1.298637, acc: 0.234375] 12892: [discriminator loss: 0.634561, acc: 0.664062] [adversarial loss: 0.935076, acc: 0.359375] 12893: [discriminator loss: 0.581861, acc: 0.726562] [adversarial loss: 1.503477, acc: 0.140625] 12894: [discriminator loss: 0.589934, acc: 0.687500] [adversarial loss: 0.867142, acc: 0.375000] 12895: [discriminator loss: 0.554430, acc: 0.703125] [adversarial loss: 1.673209, acc: 0.109375] 12896: [discriminator loss: 0.581859, acc: 0.695312] [adversarial loss: 1.085172, acc: 0.359375] 12897: [discriminator loss: 0.558780, acc: 0.687500] [adversarial loss: 1.174042, acc: 0.234375] 12898: [discriminator loss: 0.495257, acc: 0.773438] [adversarial loss: 1.112190, acc: 0.328125] 12899: [discriminator loss: 0.552068, acc: 0.734375] [adversarial loss: 1.187210, acc: 0.234375] 12900: [discriminator loss: 0.550345, acc: 0.734375] [adversarial loss: 1.038484, acc: 0.328125] 12901: [discriminator loss: 0.600677, acc: 0.671875] [adversarial loss: 1.052054, acc: 0.296875] 12902: [discriminator loss: 0.551448, acc: 0.710938] [adversarial loss: 1.239293, acc: 0.140625] 12903: [discriminator loss: 0.516201, acc: 0.781250] [adversarial loss: 1.126942, acc: 0.187500] 12904: [discriminator loss: 0.522110, acc: 0.765625] [adversarial loss: 1.310879, acc: 0.203125] 12905: [discriminator loss: 0.571921, acc: 0.718750] [adversarial loss: 0.869910, acc: 0.468750] 12906: [discriminator loss: 0.497379, acc: 0.781250] [adversarial loss: 1.662777, acc: 0.109375] 12907: [discriminator loss: 0.491872, acc: 0.726562] [adversarial loss: 1.027496, acc: 0.359375] 12908: [discriminator loss: 0.490349, acc: 0.742188] [adversarial loss: 1.437271, acc: 0.125000] 12909: [discriminator loss: 0.520929, acc: 0.726562] [adversarial loss: 0.826608, acc: 0.453125] 12910: [discriminator loss: 0.535567, acc: 0.726562] [adversarial loss: 1.773676, acc: 0.046875] 12911: [discriminator loss: 0.639881, acc: 0.648438] [adversarial loss: 0.884503, acc: 0.484375] 12912: [discriminator loss: 0.586744, acc: 0.687500] [adversarial loss: 1.699406, acc: 0.187500] 12913: [discriminator loss: 0.549510, acc: 0.718750] [adversarial loss: 0.991355, acc: 0.359375] 12914: [discriminator loss: 0.553884, acc: 0.726562] [adversarial loss: 1.312788, acc: 0.250000] 12915: [discriminator loss: 0.592319, acc: 0.703125] [adversarial loss: 1.079978, acc: 0.296875] 12916: [discriminator loss: 0.626373, acc: 0.664062] [adversarial loss: 1.314852, acc: 0.140625] 12917: [discriminator loss: 0.587995, acc: 0.695312] [adversarial loss: 0.998779, acc: 0.375000] 12918: [discriminator loss: 0.550817, acc: 0.648438] [adversarial loss: 1.167580, acc: 0.171875] 12919: [discriminator loss: 0.507447, acc: 0.734375] [adversarial loss: 1.336765, acc: 0.187500] 12920: [discriminator loss: 0.541952, acc: 0.750000] [adversarial loss: 1.175710, acc: 0.265625] 12921: [discriminator loss: 0.519416, acc: 0.750000] [adversarial loss: 1.128595, acc: 0.421875] 12922: [discriminator loss: 0.521697, acc: 0.726562] [adversarial loss: 1.430130, acc: 0.281250] 12923: [discriminator loss: 0.639011, acc: 0.656250] [adversarial loss: 1.119276, acc: 0.218750] 12924: [discriminator loss: 0.618504, acc: 0.664062] [adversarial loss: 1.087259, acc: 0.343750] 12925: [discriminator loss: 0.591126, acc: 0.664062] [adversarial loss: 0.983174, acc: 0.406250] 12926: [discriminator loss: 0.575289, acc: 0.695312] [adversarial loss: 1.527178, acc: 0.156250] 12927: [discriminator loss: 0.603929, acc: 0.687500] [adversarial loss: 0.743977, acc: 0.515625] 12928: [discriminator loss: 0.602433, acc: 0.671875] [adversarial loss: 1.757614, acc: 0.078125] 12929: [discriminator loss: 0.606947, acc: 0.671875] [adversarial loss: 0.787985, acc: 0.453125] 12930: [discriminator loss: 0.525868, acc: 0.726562] [adversarial loss: 1.578013, acc: 0.171875] 12931: [discriminator loss: 0.626173, acc: 0.671875] [adversarial loss: 0.922665, acc: 0.359375] 12932: [discriminator loss: 0.575594, acc: 0.710938] [adversarial loss: 1.215136, acc: 0.265625] 12933: [discriminator loss: 0.518499, acc: 0.742188] [adversarial loss: 1.183986, acc: 0.281250] 12934: [discriminator loss: 0.578178, acc: 0.640625] [adversarial loss: 1.164127, acc: 0.140625] 12935: [discriminator loss: 0.487331, acc: 0.750000] [adversarial loss: 0.995392, acc: 0.421875] 12936: [discriminator loss: 0.574900, acc: 0.671875] [adversarial loss: 1.170351, acc: 0.156250] 12937: [discriminator loss: 0.607792, acc: 0.625000] [adversarial loss: 1.060384, acc: 0.359375] 12938: [discriminator loss: 0.597291, acc: 0.640625] [adversarial loss: 1.116559, acc: 0.281250] 12939: [discriminator loss: 0.545219, acc: 0.726562] [adversarial loss: 1.091273, acc: 0.265625] 12940: [discriminator loss: 0.619033, acc: 0.671875] [adversarial loss: 1.285012, acc: 0.187500] 12941: [discriminator loss: 0.523850, acc: 0.750000] [adversarial loss: 1.341480, acc: 0.171875] 12942: [discriminator loss: 0.534320, acc: 0.703125] [adversarial loss: 0.989773, acc: 0.375000] 12943: [discriminator loss: 0.598203, acc: 0.710938] [adversarial loss: 1.471153, acc: 0.093750] 12944: [discriminator loss: 0.544727, acc: 0.718750] [adversarial loss: 1.013940, acc: 0.343750] 12945: [discriminator loss: 0.500426, acc: 0.750000] [adversarial loss: 1.453174, acc: 0.156250] 12946: [discriminator loss: 0.630415, acc: 0.632812] [adversarial loss: 0.669626, acc: 0.640625] 12947: [discriminator loss: 0.644006, acc: 0.679688] [adversarial loss: 1.679951, acc: 0.078125] 12948: [discriminator loss: 0.579492, acc: 0.679688] [adversarial loss: 0.905177, acc: 0.453125] 12949: [discriminator loss: 0.614160, acc: 0.695312] [adversarial loss: 1.360264, acc: 0.140625] 12950: [discriminator loss: 0.574335, acc: 0.710938] [adversarial loss: 1.096489, acc: 0.296875] 12951: [discriminator loss: 0.497096, acc: 0.757812] [adversarial loss: 1.490082, acc: 0.109375] 12952: [discriminator loss: 0.614595, acc: 0.617188] [adversarial loss: 0.908137, acc: 0.406250] 12953: [discriminator loss: 0.511352, acc: 0.742188] [adversarial loss: 1.103798, acc: 0.281250] 12954: [discriminator loss: 0.495689, acc: 0.757812] [adversarial loss: 1.064880, acc: 0.234375] 12955: [discriminator loss: 0.565344, acc: 0.703125] [adversarial loss: 1.128555, acc: 0.296875] 12956: [discriminator loss: 0.643624, acc: 0.609375] [adversarial loss: 1.154699, acc: 0.250000] 12957: [discriminator loss: 0.549437, acc: 0.687500] [adversarial loss: 1.156380, acc: 0.218750] 12958: [discriminator loss: 0.592537, acc: 0.648438] [adversarial loss: 1.239246, acc: 0.203125] 12959: [discriminator loss: 0.497081, acc: 0.789062] [adversarial loss: 1.045376, acc: 0.375000] 12960: [discriminator loss: 0.509322, acc: 0.757812] [adversarial loss: 1.082346, acc: 0.343750] 12961: [discriminator loss: 0.484489, acc: 0.742188] [adversarial loss: 1.556514, acc: 0.156250] 12962: [discriminator loss: 0.660037, acc: 0.632812] [adversarial loss: 0.887232, acc: 0.468750] 12963: [discriminator loss: 0.591457, acc: 0.695312] [adversarial loss: 1.568067, acc: 0.140625] 12964: [discriminator loss: 0.597509, acc: 0.671875] [adversarial loss: 0.979247, acc: 0.375000] 12965: [discriminator loss: 0.592300, acc: 0.687500] [adversarial loss: 1.326720, acc: 0.140625] 12966: [discriminator loss: 0.589656, acc: 0.671875] [adversarial loss: 1.137185, acc: 0.187500] 12967: [discriminator loss: 0.560269, acc: 0.726562] [adversarial loss: 1.089513, acc: 0.265625] 12968: [discriminator loss: 0.525108, acc: 0.718750] [adversarial loss: 1.154861, acc: 0.281250] 12969: [discriminator loss: 0.574179, acc: 0.687500] [adversarial loss: 1.278672, acc: 0.187500] 12970: [discriminator loss: 0.496934, acc: 0.734375] [adversarial loss: 1.212462, acc: 0.203125] 12971: [discriminator loss: 0.535187, acc: 0.742188] [adversarial loss: 1.212877, acc: 0.250000] 12972: [discriminator loss: 0.505256, acc: 0.750000] [adversarial loss: 1.120822, acc: 0.328125] 12973: [discriminator loss: 0.500887, acc: 0.726562] [adversarial loss: 1.049280, acc: 0.406250] 12974: [discriminator loss: 0.590107, acc: 0.640625] [adversarial loss: 1.666276, acc: 0.140625] 12975: [discriminator loss: 0.552857, acc: 0.703125] [adversarial loss: 1.209337, acc: 0.250000] 12976: [discriminator loss: 0.533731, acc: 0.710938] [adversarial loss: 1.374801, acc: 0.187500] 12977: [discriminator loss: 0.561797, acc: 0.710938] [adversarial loss: 0.800502, acc: 0.500000] 12978: [discriminator loss: 0.545281, acc: 0.710938] [adversarial loss: 1.412288, acc: 0.109375] 12979: [discriminator loss: 0.570570, acc: 0.703125] [adversarial loss: 1.104654, acc: 0.312500] 12980: [discriminator loss: 0.563352, acc: 0.710938] [adversarial loss: 1.263884, acc: 0.250000] 12981: [discriminator loss: 0.512513, acc: 0.750000] [adversarial loss: 1.252154, acc: 0.250000] 12982: [discriminator loss: 0.601605, acc: 0.640625] [adversarial loss: 1.163318, acc: 0.265625] 12983: [discriminator loss: 0.505684, acc: 0.757812] [adversarial loss: 1.071854, acc: 0.296875] 12984: [discriminator loss: 0.554749, acc: 0.695312] [adversarial loss: 1.153004, acc: 0.343750] 12985: [discriminator loss: 0.496139, acc: 0.773438] [adversarial loss: 1.466935, acc: 0.156250] 12986: [discriminator loss: 0.615814, acc: 0.679688] [adversarial loss: 1.199470, acc: 0.234375] 12987: [discriminator loss: 0.578016, acc: 0.679688] [adversarial loss: 1.224193, acc: 0.234375] 12988: [discriminator loss: 0.508171, acc: 0.789062] [adversarial loss: 0.938945, acc: 0.437500] 12989: [discriminator loss: 0.499243, acc: 0.789062] [adversarial loss: 1.339227, acc: 0.187500] 12990: [discriminator loss: 0.482338, acc: 0.734375] [adversarial loss: 0.822722, acc: 0.484375] 12991: [discriminator loss: 0.556171, acc: 0.671875] [adversarial loss: 1.121302, acc: 0.250000] 12992: [discriminator loss: 0.513873, acc: 0.773438] [adversarial loss: 0.879908, acc: 0.437500] 12993: [discriminator loss: 0.530347, acc: 0.695312] [adversarial loss: 1.458731, acc: 0.125000] 12994: [discriminator loss: 0.513536, acc: 0.710938] [adversarial loss: 1.171203, acc: 0.265625] 12995: [discriminator loss: 0.494195, acc: 0.796875] [adversarial loss: 1.307070, acc: 0.250000] 12996: [discriminator loss: 0.523820, acc: 0.718750] [adversarial loss: 0.987023, acc: 0.390625] 12997: [discriminator loss: 0.572843, acc: 0.695312] [adversarial loss: 1.499171, acc: 0.140625] 12998: [discriminator loss: 0.513213, acc: 0.750000] [adversarial loss: 0.947683, acc: 0.375000] 12999: [discriminator loss: 0.607870, acc: 0.640625] [adversarial loss: 1.221086, acc: 0.265625] 13000: [discriminator loss: 0.573461, acc: 0.710938] [adversarial loss: 0.950713, acc: 0.406250] 13001: [discriminator loss: 0.520719, acc: 0.734375] [adversarial loss: 1.212145, acc: 0.171875] 13002: [discriminator loss: 0.610438, acc: 0.640625] [adversarial loss: 0.826914, acc: 0.406250] 13003: [discriminator loss: 0.569672, acc: 0.671875] [adversarial loss: 1.535914, acc: 0.078125] 13004: [discriminator loss: 0.541821, acc: 0.703125] [adversarial loss: 0.874084, acc: 0.531250] 13005: [discriminator loss: 0.623474, acc: 0.664062] [adversarial loss: 1.354401, acc: 0.203125] 13006: [discriminator loss: 0.545992, acc: 0.734375] [adversarial loss: 0.777456, acc: 0.468750] 13007: [discriminator loss: 0.573424, acc: 0.718750] [adversarial loss: 1.393805, acc: 0.140625] 13008: [discriminator loss: 0.532153, acc: 0.726562] [adversarial loss: 0.786080, acc: 0.484375] 13009: [discriminator loss: 0.527488, acc: 0.726562] [adversarial loss: 1.275916, acc: 0.234375] 13010: [discriminator loss: 0.521819, acc: 0.703125] [adversarial loss: 1.057994, acc: 0.343750] 13011: [discriminator loss: 0.545563, acc: 0.726562] [adversarial loss: 1.292161, acc: 0.187500] 13012: [discriminator loss: 0.516725, acc: 0.781250] [adversarial loss: 0.874777, acc: 0.453125] 13013: [discriminator loss: 0.576933, acc: 0.695312] [adversarial loss: 1.648140, acc: 0.093750] 13014: [discriminator loss: 0.640927, acc: 0.625000] [adversarial loss: 0.801524, acc: 0.531250] 13015: [discriminator loss: 0.640097, acc: 0.664062] [adversarial loss: 1.604371, acc: 0.093750] 13016: [discriminator loss: 0.579261, acc: 0.679688] [adversarial loss: 0.998794, acc: 0.453125] 13017: [discriminator loss: 0.531730, acc: 0.726562] [adversarial loss: 1.401737, acc: 0.218750] 13018: [discriminator loss: 0.619128, acc: 0.656250] [adversarial loss: 1.060167, acc: 0.312500] 13019: [discriminator loss: 0.574023, acc: 0.703125] [adversarial loss: 1.133148, acc: 0.250000] 13020: [discriminator loss: 0.516824, acc: 0.718750] [adversarial loss: 1.168199, acc: 0.359375] 13021: [discriminator loss: 0.493659, acc: 0.710938] [adversarial loss: 1.275653, acc: 0.218750] 13022: [discriminator loss: 0.532261, acc: 0.757812] [adversarial loss: 1.037223, acc: 0.343750] 13023: [discriminator loss: 0.570895, acc: 0.679688] [adversarial loss: 1.577938, acc: 0.062500] 13024: [discriminator loss: 0.571119, acc: 0.671875] [adversarial loss: 0.747093, acc: 0.531250] 13025: [discriminator loss: 0.495637, acc: 0.796875] [adversarial loss: 1.274478, acc: 0.203125] 13026: [discriminator loss: 0.561739, acc: 0.726562] [adversarial loss: 1.013813, acc: 0.343750] 13027: [discriminator loss: 0.552737, acc: 0.687500] [adversarial loss: 1.198839, acc: 0.171875] 13028: [discriminator loss: 0.542524, acc: 0.710938] [adversarial loss: 1.347392, acc: 0.125000] 13029: [discriminator loss: 0.515176, acc: 0.765625] [adversarial loss: 1.174813, acc: 0.234375] 13030: [discriminator loss: 0.519917, acc: 0.742188] [adversarial loss: 1.234590, acc: 0.125000] 13031: [discriminator loss: 0.593177, acc: 0.703125] [adversarial loss: 1.324622, acc: 0.078125] 13032: [discriminator loss: 0.479917, acc: 0.804688] [adversarial loss: 1.229018, acc: 0.171875] 13033: [discriminator loss: 0.548343, acc: 0.695312] [adversarial loss: 1.169591, acc: 0.218750] 13034: [discriminator loss: 0.464551, acc: 0.781250] [adversarial loss: 1.354028, acc: 0.203125] 13035: [discriminator loss: 0.618526, acc: 0.632812] [adversarial loss: 1.227414, acc: 0.203125] 13036: [discriminator loss: 0.528838, acc: 0.710938] [adversarial loss: 1.384039, acc: 0.140625] 13037: [discriminator loss: 0.620951, acc: 0.632812] [adversarial loss: 0.786646, acc: 0.500000] 13038: [discriminator loss: 0.528154, acc: 0.734375] [adversarial loss: 1.488740, acc: 0.156250] 13039: [discriminator loss: 0.623054, acc: 0.617188] [adversarial loss: 0.947612, acc: 0.265625] 13040: [discriminator loss: 0.557995, acc: 0.710938] [adversarial loss: 1.318205, acc: 0.234375] 13041: [discriminator loss: 0.557892, acc: 0.726562] [adversarial loss: 1.145829, acc: 0.296875] 13042: [discriminator loss: 0.488842, acc: 0.750000] [adversarial loss: 1.056181, acc: 0.312500] 13043: [discriminator loss: 0.585446, acc: 0.656250] [adversarial loss: 1.114077, acc: 0.281250] 13044: [discriminator loss: 0.530814, acc: 0.750000] [adversarial loss: 0.850691, acc: 0.421875] 13045: [discriminator loss: 0.639507, acc: 0.648438] [adversarial loss: 1.634420, acc: 0.125000] 13046: [discriminator loss: 0.537488, acc: 0.734375] [adversarial loss: 0.923335, acc: 0.375000] 13047: [discriminator loss: 0.567662, acc: 0.703125] [adversarial loss: 1.211603, acc: 0.250000] 13048: [discriminator loss: 0.538721, acc: 0.742188] [adversarial loss: 1.064443, acc: 0.281250] 13049: [discriminator loss: 0.585823, acc: 0.703125] [adversarial loss: 1.457461, acc: 0.109375] 13050: [discriminator loss: 0.584883, acc: 0.648438] [adversarial loss: 1.019768, acc: 0.312500] 13051: [discriminator loss: 0.585663, acc: 0.609375] [adversarial loss: 1.339001, acc: 0.171875] 13052: [discriminator loss: 0.600144, acc: 0.679688] [adversarial loss: 1.195801, acc: 0.281250] 13053: [discriminator loss: 0.525441, acc: 0.750000] [adversarial loss: 1.249459, acc: 0.218750] 13054: [discriminator loss: 0.568426, acc: 0.726562] [adversarial loss: 0.926351, acc: 0.312500] 13055: [discriminator loss: 0.512861, acc: 0.789062] [adversarial loss: 1.162731, acc: 0.296875] 13056: [discriminator loss: 0.566229, acc: 0.679688] [adversarial loss: 1.070985, acc: 0.250000] 13057: [discriminator loss: 0.497694, acc: 0.789062] [adversarial loss: 1.335673, acc: 0.187500] 13058: [discriminator loss: 0.535114, acc: 0.718750] [adversarial loss: 0.998567, acc: 0.359375] 13059: [discriminator loss: 0.601419, acc: 0.640625] [adversarial loss: 1.556277, acc: 0.140625] 13060: [discriminator loss: 0.518881, acc: 0.734375] [adversarial loss: 0.789797, acc: 0.562500] 13061: [discriminator loss: 0.673861, acc: 0.632812] [adversarial loss: 1.838756, acc: 0.078125] 13062: [discriminator loss: 0.688225, acc: 0.632812] [adversarial loss: 0.993989, acc: 0.312500] 13063: [discriminator loss: 0.568042, acc: 0.664062] [adversarial loss: 1.184539, acc: 0.187500] 13064: [discriminator loss: 0.525923, acc: 0.765625] [adversarial loss: 1.009639, acc: 0.343750] 13065: [discriminator loss: 0.538469, acc: 0.734375] [adversarial loss: 1.244674, acc: 0.203125] 13066: [discriminator loss: 0.564992, acc: 0.687500] [adversarial loss: 1.037344, acc: 0.281250] 13067: [discriminator loss: 0.561147, acc: 0.656250] [adversarial loss: 1.095211, acc: 0.343750] 13068: [discriminator loss: 0.507795, acc: 0.710938] [adversarial loss: 1.318954, acc: 0.218750] 13069: [discriminator loss: 0.527112, acc: 0.726562] [adversarial loss: 1.175118, acc: 0.296875] 13070: [discriminator loss: 0.655392, acc: 0.632812] [adversarial loss: 0.850085, acc: 0.359375] 13071: [discriminator loss: 0.544945, acc: 0.726562] [adversarial loss: 1.201130, acc: 0.218750] 13072: [discriminator loss: 0.527438, acc: 0.710938] [adversarial loss: 1.173834, acc: 0.250000] 13073: [discriminator loss: 0.609668, acc: 0.679688] [adversarial loss: 1.413556, acc: 0.187500] 13074: [discriminator loss: 0.560226, acc: 0.679688] [adversarial loss: 0.853675, acc: 0.390625] 13075: [discriminator loss: 0.511538, acc: 0.773438] [adversarial loss: 1.270152, acc: 0.296875] 13076: [discriminator loss: 0.600331, acc: 0.648438] [adversarial loss: 1.223296, acc: 0.203125] 13077: [discriminator loss: 0.557173, acc: 0.742188] [adversarial loss: 1.279755, acc: 0.140625] 13078: [discriminator loss: 0.477581, acc: 0.781250] [adversarial loss: 0.846277, acc: 0.453125] 13079: [discriminator loss: 0.511831, acc: 0.750000] [adversarial loss: 1.210486, acc: 0.203125] 13080: [discriminator loss: 0.531809, acc: 0.734375] [adversarial loss: 0.941896, acc: 0.359375] 13081: [discriminator loss: 0.548257, acc: 0.734375] [adversarial loss: 1.144499, acc: 0.265625] 13082: [discriminator loss: 0.551850, acc: 0.742188] [adversarial loss: 1.107960, acc: 0.296875] 13083: [discriminator loss: 0.491721, acc: 0.734375] [adversarial loss: 1.120483, acc: 0.296875] 13084: [discriminator loss: 0.554761, acc: 0.757812] [adversarial loss: 1.229009, acc: 0.187500] 13085: [discriminator loss: 0.569505, acc: 0.703125] [adversarial loss: 1.289476, acc: 0.218750] 13086: [discriminator loss: 0.478186, acc: 0.789062] [adversarial loss: 1.049949, acc: 0.296875] 13087: [discriminator loss: 0.545792, acc: 0.703125] [adversarial loss: 1.303962, acc: 0.156250] 13088: [discriminator loss: 0.584247, acc: 0.718750] [adversarial loss: 0.809657, acc: 0.437500] 13089: [discriminator loss: 0.565625, acc: 0.742188] [adversarial loss: 1.494968, acc: 0.109375] 13090: [discriminator loss: 0.680858, acc: 0.625000] [adversarial loss: 0.691055, acc: 0.546875] 13091: [discriminator loss: 0.616284, acc: 0.687500] [adversarial loss: 1.394947, acc: 0.140625] 13092: [discriminator loss: 0.479612, acc: 0.734375] [adversarial loss: 0.941863, acc: 0.390625] 13093: [discriminator loss: 0.563114, acc: 0.742188] [adversarial loss: 1.335528, acc: 0.156250] 13094: [discriminator loss: 0.578449, acc: 0.726562] [adversarial loss: 0.752420, acc: 0.500000] 13095: [discriminator loss: 0.548742, acc: 0.679688] [adversarial loss: 1.143736, acc: 0.218750] 13096: [discriminator loss: 0.511851, acc: 0.718750] [adversarial loss: 0.943958, acc: 0.468750] 13097: [discriminator loss: 0.570898, acc: 0.687500] [adversarial loss: 1.353276, acc: 0.156250] 13098: [discriminator loss: 0.567045, acc: 0.710938] [adversarial loss: 0.814846, acc: 0.484375] 13099: [discriminator loss: 0.558079, acc: 0.734375] [adversarial loss: 1.041089, acc: 0.265625] 13100: [discriminator loss: 0.507993, acc: 0.742188] [adversarial loss: 1.205706, acc: 0.250000] 13101: [discriminator loss: 0.492177, acc: 0.804688] [adversarial loss: 1.011343, acc: 0.343750] 13102: [discriminator loss: 0.578779, acc: 0.679688] [adversarial loss: 1.317334, acc: 0.234375] 13103: [discriminator loss: 0.548740, acc: 0.726562] [adversarial loss: 0.841656, acc: 0.484375] 13104: [discriminator loss: 0.595487, acc: 0.703125] [adversarial loss: 1.858584, acc: 0.015625] 13105: [discriminator loss: 0.630628, acc: 0.648438] [adversarial loss: 0.762478, acc: 0.515625] 13106: [discriminator loss: 0.564616, acc: 0.710938] [adversarial loss: 1.491224, acc: 0.109375] 13107: [discriminator loss: 0.529185, acc: 0.703125] [adversarial loss: 0.819398, acc: 0.531250] 13108: [discriminator loss: 0.559982, acc: 0.703125] [adversarial loss: 1.444576, acc: 0.156250] 13109: [discriminator loss: 0.592020, acc: 0.679688] [adversarial loss: 1.122997, acc: 0.296875] 13110: [discriminator loss: 0.569400, acc: 0.679688] [adversarial loss: 1.001821, acc: 0.343750] 13111: [discriminator loss: 0.521218, acc: 0.718750] [adversarial loss: 1.256994, acc: 0.125000] 13112: [discriminator loss: 0.500571, acc: 0.734375] [adversarial loss: 1.047721, acc: 0.296875] 13113: [discriminator loss: 0.583093, acc: 0.648438] [adversarial loss: 1.478711, acc: 0.171875] 13114: [discriminator loss: 0.573600, acc: 0.632812] [adversarial loss: 1.099069, acc: 0.359375] 13115: [discriminator loss: 0.540456, acc: 0.734375] [adversarial loss: 1.534558, acc: 0.218750] 13116: [discriminator loss: 0.563531, acc: 0.664062] [adversarial loss: 1.058100, acc: 0.359375] 13117: [discriminator loss: 0.526336, acc: 0.718750] [adversarial loss: 1.299170, acc: 0.218750] 13118: [discriminator loss: 0.548621, acc: 0.765625] [adversarial loss: 0.935770, acc: 0.406250] 13119: [discriminator loss: 0.594660, acc: 0.671875] [adversarial loss: 1.346875, acc: 0.218750] 13120: [discriminator loss: 0.499929, acc: 0.757812] [adversarial loss: 0.877254, acc: 0.484375] 13121: [discriminator loss: 0.534337, acc: 0.703125] [adversarial loss: 1.685676, acc: 0.125000] 13122: [discriminator loss: 0.609287, acc: 0.710938] [adversarial loss: 0.918223, acc: 0.421875] 13123: [discriminator loss: 0.611459, acc: 0.695312] [adversarial loss: 1.404670, acc: 0.125000] 13124: [discriminator loss: 0.538600, acc: 0.703125] [adversarial loss: 0.907902, acc: 0.484375] 13125: [discriminator loss: 0.556112, acc: 0.718750] [adversarial loss: 1.356458, acc: 0.171875] 13126: [discriminator loss: 0.534923, acc: 0.750000] [adversarial loss: 1.321896, acc: 0.203125] 13127: [discriminator loss: 0.558473, acc: 0.734375] [adversarial loss: 1.055316, acc: 0.265625] 13128: [discriminator loss: 0.539370, acc: 0.734375] [adversarial loss: 1.164429, acc: 0.265625] 13129: [discriminator loss: 0.513507, acc: 0.750000] [adversarial loss: 1.257307, acc: 0.281250] 13130: [discriminator loss: 0.640451, acc: 0.625000] [adversarial loss: 1.124684, acc: 0.234375] 13131: [discriminator loss: 0.542071, acc: 0.695312] [adversarial loss: 1.260480, acc: 0.171875] 13132: [discriminator loss: 0.522916, acc: 0.796875] [adversarial loss: 1.085361, acc: 0.281250] 13133: [discriminator loss: 0.499355, acc: 0.750000] [adversarial loss: 1.361521, acc: 0.140625] 13134: [discriminator loss: 0.624636, acc: 0.671875] [adversarial loss: 1.119344, acc: 0.312500] 13135: [discriminator loss: 0.564341, acc: 0.679688] [adversarial loss: 1.351249, acc: 0.203125] 13136: [discriminator loss: 0.480585, acc: 0.781250] [adversarial loss: 1.067355, acc: 0.343750] 13137: [discriminator loss: 0.526633, acc: 0.703125] [adversarial loss: 1.678274, acc: 0.093750] 13138: [discriminator loss: 0.528574, acc: 0.718750] [adversarial loss: 0.813030, acc: 0.421875] 13139: [discriminator loss: 0.508266, acc: 0.703125] [adversarial loss: 1.467390, acc: 0.078125] 13140: [discriminator loss: 0.577977, acc: 0.687500] [adversarial loss: 0.949108, acc: 0.390625] 13141: [discriminator loss: 0.521104, acc: 0.726562] [adversarial loss: 1.210709, acc: 0.312500] 13142: [discriminator loss: 0.526880, acc: 0.710938] [adversarial loss: 1.338216, acc: 0.078125] 13143: [discriminator loss: 0.526181, acc: 0.718750] [adversarial loss: 1.213932, acc: 0.203125] 13144: [discriminator loss: 0.598891, acc: 0.656250] [adversarial loss: 0.969144, acc: 0.375000] 13145: [discriminator loss: 0.548903, acc: 0.742188] [adversarial loss: 1.293461, acc: 0.171875] 13146: [discriminator loss: 0.500472, acc: 0.765625] [adversarial loss: 1.056118, acc: 0.187500] 13147: [discriminator loss: 0.537704, acc: 0.750000] [adversarial loss: 1.192968, acc: 0.171875] 13148: [discriminator loss: 0.496086, acc: 0.781250] [adversarial loss: 1.164220, acc: 0.218750] 13149: [discriminator loss: 0.530340, acc: 0.757812] [adversarial loss: 1.238805, acc: 0.250000] 13150: [discriminator loss: 0.582822, acc: 0.656250] [adversarial loss: 0.751991, acc: 0.562500] 13151: [discriminator loss: 0.620301, acc: 0.687500] [adversarial loss: 1.440501, acc: 0.109375] 13152: [discriminator loss: 0.604203, acc: 0.640625] [adversarial loss: 0.864768, acc: 0.437500] 13153: [discriminator loss: 0.545159, acc: 0.742188] [adversarial loss: 1.154245, acc: 0.281250] 13154: [discriminator loss: 0.526211, acc: 0.742188] [adversarial loss: 1.000719, acc: 0.359375] 13155: [discriminator loss: 0.522163, acc: 0.687500] [adversarial loss: 1.272729, acc: 0.156250] 13156: [discriminator loss: 0.521970, acc: 0.734375] [adversarial loss: 0.948700, acc: 0.406250] 13157: [discriminator loss: 0.577877, acc: 0.664062] [adversarial loss: 1.118915, acc: 0.328125] 13158: [discriminator loss: 0.539003, acc: 0.734375] [adversarial loss: 1.319665, acc: 0.203125] 13159: [discriminator loss: 0.573769, acc: 0.703125] [adversarial loss: 0.938370, acc: 0.375000] 13160: [discriminator loss: 0.562711, acc: 0.656250] [adversarial loss: 1.586881, acc: 0.062500] 13161: [discriminator loss: 0.541362, acc: 0.742188] [adversarial loss: 0.889325, acc: 0.453125] 13162: [discriminator loss: 0.529822, acc: 0.734375] [adversarial loss: 1.416474, acc: 0.203125] 13163: [discriminator loss: 0.521853, acc: 0.757812] [adversarial loss: 0.898115, acc: 0.343750] 13164: [discriminator loss: 0.535057, acc: 0.726562] [adversarial loss: 1.524108, acc: 0.125000] 13165: [discriminator loss: 0.533227, acc: 0.734375] [adversarial loss: 0.850156, acc: 0.531250] 13166: [discriminator loss: 0.479464, acc: 0.742188] [adversarial loss: 1.345365, acc: 0.171875] 13167: [discriminator loss: 0.567270, acc: 0.687500] [adversarial loss: 0.921937, acc: 0.437500] 13168: [discriminator loss: 0.585008, acc: 0.679688] [adversarial loss: 1.326558, acc: 0.171875] 13169: [discriminator loss: 0.627678, acc: 0.664062] [adversarial loss: 0.904617, acc: 0.390625] 13170: [discriminator loss: 0.536476, acc: 0.710938] [adversarial loss: 1.192427, acc: 0.234375] 13171: [discriminator loss: 0.506309, acc: 0.734375] [adversarial loss: 1.262474, acc: 0.218750] 13172: [discriminator loss: 0.602390, acc: 0.703125] [adversarial loss: 0.976581, acc: 0.453125] 13173: [discriminator loss: 0.617466, acc: 0.648438] [adversarial loss: 1.349698, acc: 0.250000] 13174: [discriminator loss: 0.474838, acc: 0.757812] [adversarial loss: 1.032409, acc: 0.359375] 13175: [discriminator loss: 0.571261, acc: 0.718750] [adversarial loss: 1.185915, acc: 0.296875] 13176: [discriminator loss: 0.571799, acc: 0.703125] [adversarial loss: 0.784728, acc: 0.546875] 13177: [discriminator loss: 0.567116, acc: 0.687500] [adversarial loss: 1.293242, acc: 0.093750] 13178: [discriminator loss: 0.570374, acc: 0.718750] [adversarial loss: 0.822453, acc: 0.468750] 13179: [discriminator loss: 0.578883, acc: 0.695312] [adversarial loss: 1.399954, acc: 0.140625] 13180: [discriminator loss: 0.563614, acc: 0.648438] [adversarial loss: 1.054787, acc: 0.328125] 13181: [discriminator loss: 0.595029, acc: 0.703125] [adversarial loss: 1.430462, acc: 0.171875] 13182: [discriminator loss: 0.636183, acc: 0.585938] [adversarial loss: 0.821474, acc: 0.515625] 13183: [discriminator loss: 0.621413, acc: 0.695312] [adversarial loss: 1.425273, acc: 0.125000] 13184: [discriminator loss: 0.513861, acc: 0.710938] [adversarial loss: 1.083087, acc: 0.312500] 13185: [discriminator loss: 0.503815, acc: 0.773438] [adversarial loss: 1.371356, acc: 0.203125] 13186: [discriminator loss: 0.603519, acc: 0.687500] [adversarial loss: 0.943716, acc: 0.359375] 13187: [discriminator loss: 0.504953, acc: 0.773438] [adversarial loss: 1.257059, acc: 0.250000] 13188: [discriminator loss: 0.552893, acc: 0.710938] [adversarial loss: 1.442140, acc: 0.109375] 13189: [discriminator loss: 0.602852, acc: 0.679688] [adversarial loss: 1.270711, acc: 0.218750] 13190: [discriminator loss: 0.433618, acc: 0.859375] [adversarial loss: 0.902926, acc: 0.453125] 13191: [discriminator loss: 0.564402, acc: 0.671875] [adversarial loss: 1.123415, acc: 0.328125] 13192: [discriminator loss: 0.536662, acc: 0.703125] [adversarial loss: 1.056459, acc: 0.453125] 13193: [discriminator loss: 0.508978, acc: 0.757812] [adversarial loss: 1.153885, acc: 0.250000] 13194: [discriminator loss: 0.527743, acc: 0.742188] [adversarial loss: 1.082111, acc: 0.328125] 13195: [discriminator loss: 0.506404, acc: 0.742188] [adversarial loss: 1.369646, acc: 0.171875] 13196: [discriminator loss: 0.553953, acc: 0.710938] [adversarial loss: 0.845098, acc: 0.437500] 13197: [discriminator loss: 0.517981, acc: 0.742188] [adversarial loss: 1.560912, acc: 0.125000] 13198: [discriminator loss: 0.605872, acc: 0.695312] [adversarial loss: 0.928706, acc: 0.359375] 13199: [discriminator loss: 0.644329, acc: 0.625000] [adversarial loss: 1.532786, acc: 0.062500] 13200: [discriminator loss: 0.507724, acc: 0.726562] [adversarial loss: 0.991048, acc: 0.359375] 13201: [discriminator loss: 0.542762, acc: 0.687500] [adversarial loss: 1.573011, acc: 0.109375] 13202: [discriminator loss: 0.552765, acc: 0.656250] [adversarial loss: 1.021692, acc: 0.296875] 13203: [discriminator loss: 0.545108, acc: 0.664062] [adversarial loss: 1.628943, acc: 0.140625] 13204: [discriminator loss: 0.582343, acc: 0.671875] [adversarial loss: 0.929463, acc: 0.406250] 13205: [discriminator loss: 0.602168, acc: 0.703125] [adversarial loss: 1.497677, acc: 0.109375] 13206: [discriminator loss: 0.558350, acc: 0.710938] [adversarial loss: 0.864985, acc: 0.406250] 13207: [discriminator loss: 0.571192, acc: 0.695312] [adversarial loss: 1.267090, acc: 0.156250] 13208: [discriminator loss: 0.528175, acc: 0.750000] [adversarial loss: 1.156884, acc: 0.250000] 13209: [discriminator loss: 0.589413, acc: 0.703125] [adversarial loss: 0.897145, acc: 0.468750] 13210: [discriminator loss: 0.582473, acc: 0.671875] [adversarial loss: 1.325109, acc: 0.140625] 13211: [discriminator loss: 0.483928, acc: 0.750000] [adversarial loss: 1.040673, acc: 0.312500] 13212: [discriminator loss: 0.566275, acc: 0.703125] [adversarial loss: 1.145449, acc: 0.265625] 13213: [discriminator loss: 0.505044, acc: 0.773438] [adversarial loss: 1.097978, acc: 0.296875] 13214: [discriminator loss: 0.468004, acc: 0.781250] [adversarial loss: 1.094677, acc: 0.218750] 13215: [discriminator loss: 0.533150, acc: 0.687500] [adversarial loss: 1.240892, acc: 0.250000] 13216: [discriminator loss: 0.540908, acc: 0.695312] [adversarial loss: 1.197502, acc: 0.203125] 13217: [discriminator loss: 0.502179, acc: 0.726562] [adversarial loss: 1.096898, acc: 0.265625] 13218: [discriminator loss: 0.517846, acc: 0.734375] [adversarial loss: 1.041330, acc: 0.312500] 13219: [discriminator loss: 0.587014, acc: 0.671875] [adversarial loss: 1.566141, acc: 0.078125] 13220: [discriminator loss: 0.628977, acc: 0.671875] [adversarial loss: 1.081638, acc: 0.328125] 13221: [discriminator loss: 0.533597, acc: 0.710938] [adversarial loss: 1.542892, acc: 0.109375] 13222: [discriminator loss: 0.490745, acc: 0.742188] [adversarial loss: 0.973501, acc: 0.375000] 13223: [discriminator loss: 0.518971, acc: 0.781250] [adversarial loss: 1.550463, acc: 0.109375] 13224: [discriminator loss: 0.560348, acc: 0.679688] [adversarial loss: 0.992457, acc: 0.343750] 13225: [discriminator loss: 0.583579, acc: 0.695312] [adversarial loss: 0.809092, acc: 0.390625] 13226: [discriminator loss: 0.537859, acc: 0.703125] [adversarial loss: 1.569314, acc: 0.140625] 13227: [discriminator loss: 0.541041, acc: 0.726562] [adversarial loss: 0.875389, acc: 0.390625] 13228: [discriminator loss: 0.515770, acc: 0.750000] [adversarial loss: 1.178690, acc: 0.218750] 13229: [discriminator loss: 0.566228, acc: 0.718750] [adversarial loss: 1.152506, acc: 0.250000] 13230: [discriminator loss: 0.585922, acc: 0.703125] [adversarial loss: 1.190449, acc: 0.156250] 13231: [discriminator loss: 0.549646, acc: 0.734375] [adversarial loss: 1.554321, acc: 0.156250] 13232: [discriminator loss: 0.575756, acc: 0.640625] [adversarial loss: 0.857932, acc: 0.531250] 13233: [discriminator loss: 0.622134, acc: 0.703125] [adversarial loss: 1.765532, acc: 0.109375] 13234: [discriminator loss: 0.626425, acc: 0.632812] [adversarial loss: 0.940489, acc: 0.406250] 13235: [discriminator loss: 0.498164, acc: 0.742188] [adversarial loss: 1.300774, acc: 0.203125] 13236: [discriminator loss: 0.578569, acc: 0.664062] [adversarial loss: 0.779711, acc: 0.562500] 13237: [discriminator loss: 0.626077, acc: 0.625000] [adversarial loss: 1.491831, acc: 0.109375] 13238: [discriminator loss: 0.525672, acc: 0.742188] [adversarial loss: 0.990335, acc: 0.375000] 13239: [discriminator loss: 0.550400, acc: 0.765625] [adversarial loss: 1.086072, acc: 0.296875] 13240: [discriminator loss: 0.622868, acc: 0.648438] [adversarial loss: 1.055979, acc: 0.281250] 13241: [discriminator loss: 0.575743, acc: 0.710938] [adversarial loss: 1.199330, acc: 0.250000] 13242: [discriminator loss: 0.535886, acc: 0.718750] [adversarial loss: 1.268950, acc: 0.218750] 13243: [discriminator loss: 0.519226, acc: 0.742188] [adversarial loss: 1.035987, acc: 0.421875] 13244: [discriminator loss: 0.582952, acc: 0.671875] [adversarial loss: 1.138183, acc: 0.203125] 13245: [discriminator loss: 0.491524, acc: 0.812500] [adversarial loss: 1.018445, acc: 0.281250] 13246: [discriminator loss: 0.542873, acc: 0.710938] [adversarial loss: 1.003352, acc: 0.343750] 13247: [discriminator loss: 0.557419, acc: 0.718750] [adversarial loss: 1.436807, acc: 0.109375] 13248: [discriminator loss: 0.586895, acc: 0.695312] [adversarial loss: 0.999925, acc: 0.359375] 13249: [discriminator loss: 0.546732, acc: 0.687500] [adversarial loss: 1.450585, acc: 0.093750] 13250: [discriminator loss: 0.580575, acc: 0.679688] [adversarial loss: 0.968277, acc: 0.375000] 13251: [discriminator loss: 0.615401, acc: 0.648438] [adversarial loss: 1.539380, acc: 0.109375] 13252: [discriminator loss: 0.640708, acc: 0.656250] [adversarial loss: 1.064949, acc: 0.296875] 13253: [discriminator loss: 0.558452, acc: 0.671875] [adversarial loss: 1.274022, acc: 0.218750] 13254: [discriminator loss: 0.581885, acc: 0.656250] [adversarial loss: 1.029623, acc: 0.265625] 13255: [discriminator loss: 0.516598, acc: 0.703125] [adversarial loss: 1.287018, acc: 0.203125] 13256: [discriminator loss: 0.512374, acc: 0.750000] [adversarial loss: 0.866328, acc: 0.390625] 13257: [discriminator loss: 0.534022, acc: 0.750000] [adversarial loss: 1.425514, acc: 0.171875] 13258: [discriminator loss: 0.451628, acc: 0.789062] [adversarial loss: 1.391045, acc: 0.093750] 13259: [discriminator loss: 0.527999, acc: 0.726562] [adversarial loss: 1.016166, acc: 0.296875] 13260: [discriminator loss: 0.561298, acc: 0.726562] [adversarial loss: 1.002771, acc: 0.296875] 13261: [discriminator loss: 0.596603, acc: 0.703125] [adversarial loss: 1.490671, acc: 0.125000] 13262: [discriminator loss: 0.594416, acc: 0.648438] [adversarial loss: 0.845155, acc: 0.531250] 13263: [discriminator loss: 0.554553, acc: 0.757812] [adversarial loss: 1.465157, acc: 0.125000] 13264: [discriminator loss: 0.531797, acc: 0.718750] [adversarial loss: 0.942870, acc: 0.406250] 13265: [discriminator loss: 0.563011, acc: 0.710938] [adversarial loss: 1.492404, acc: 0.109375] 13266: [discriminator loss: 0.566679, acc: 0.710938] [adversarial loss: 0.848702, acc: 0.468750] 13267: [discriminator loss: 0.681110, acc: 0.632812] [adversarial loss: 1.597991, acc: 0.078125] 13268: [discriminator loss: 0.567930, acc: 0.656250] [adversarial loss: 0.920876, acc: 0.406250] 13269: [discriminator loss: 0.560595, acc: 0.687500] [adversarial loss: 1.574939, acc: 0.093750] 13270: [discriminator loss: 0.541349, acc: 0.710938] [adversarial loss: 0.922769, acc: 0.390625] 13271: [discriminator loss: 0.539405, acc: 0.726562] [adversarial loss: 1.212363, acc: 0.156250] 13272: [discriminator loss: 0.547472, acc: 0.726562] [adversarial loss: 1.129759, acc: 0.250000] 13273: [discriminator loss: 0.525326, acc: 0.734375] [adversarial loss: 1.153023, acc: 0.281250] 13274: [discriminator loss: 0.531869, acc: 0.703125] [adversarial loss: 1.302474, acc: 0.171875] 13275: [discriminator loss: 0.541403, acc: 0.718750] [adversarial loss: 1.142784, acc: 0.265625] 13276: [discriminator loss: 0.508914, acc: 0.742188] [adversarial loss: 1.382650, acc: 0.234375] 13277: [discriminator loss: 0.605478, acc: 0.687500] [adversarial loss: 0.779749, acc: 0.515625] 13278: [discriminator loss: 0.562236, acc: 0.632812] [adversarial loss: 1.783085, acc: 0.125000] 13279: [discriminator loss: 0.676435, acc: 0.554688] [adversarial loss: 0.669705, acc: 0.593750] 13280: [discriminator loss: 0.610785, acc: 0.695312] [adversarial loss: 1.442394, acc: 0.171875] 13281: [discriminator loss: 0.576154, acc: 0.671875] [adversarial loss: 1.086909, acc: 0.250000] 13282: [discriminator loss: 0.492300, acc: 0.789062] [adversarial loss: 1.201531, acc: 0.218750] 13283: [discriminator loss: 0.517446, acc: 0.765625] [adversarial loss: 1.171960, acc: 0.171875] 13284: [discriminator loss: 0.595545, acc: 0.632812] [adversarial loss: 1.151833, acc: 0.296875] 13285: [discriminator loss: 0.570760, acc: 0.695312] [adversarial loss: 1.114008, acc: 0.234375] 13286: [discriminator loss: 0.587038, acc: 0.671875] [adversarial loss: 1.262045, acc: 0.218750] 13287: [discriminator loss: 0.532516, acc: 0.695312] [adversarial loss: 1.268039, acc: 0.171875] 13288: [discriminator loss: 0.520951, acc: 0.734375] [adversarial loss: 1.108282, acc: 0.328125] 13289: [discriminator loss: 0.526129, acc: 0.726562] [adversarial loss: 1.282689, acc: 0.296875] 13290: [discriminator loss: 0.525784, acc: 0.718750] [adversarial loss: 1.151884, acc: 0.281250] 13291: [discriminator loss: 0.511277, acc: 0.750000] [adversarial loss: 1.096165, acc: 0.312500] 13292: [discriminator loss: 0.503483, acc: 0.773438] [adversarial loss: 1.135675, acc: 0.281250] 13293: [discriminator loss: 0.480815, acc: 0.757812] [adversarial loss: 1.092873, acc: 0.187500] 13294: [discriminator loss: 0.508173, acc: 0.781250] [adversarial loss: 1.290333, acc: 0.218750] 13295: [discriminator loss: 0.503995, acc: 0.750000] [adversarial loss: 1.063456, acc: 0.343750] 13296: [discriminator loss: 0.547475, acc: 0.710938] [adversarial loss: 1.286705, acc: 0.218750] 13297: [discriminator loss: 0.614616, acc: 0.625000] [adversarial loss: 0.860756, acc: 0.406250] 13298: [discriminator loss: 0.540664, acc: 0.703125] [adversarial loss: 1.501062, acc: 0.156250] 13299: [discriminator loss: 0.614812, acc: 0.625000] [adversarial loss: 0.900163, acc: 0.390625] 13300: [discriminator loss: 0.540577, acc: 0.718750] [adversarial loss: 1.459008, acc: 0.140625] 13301: [discriminator loss: 0.581409, acc: 0.679688] [adversarial loss: 0.744830, acc: 0.531250] 13302: [discriminator loss: 0.582679, acc: 0.679688] [adversarial loss: 1.301005, acc: 0.171875] 13303: [discriminator loss: 0.538565, acc: 0.703125] [adversarial loss: 1.130187, acc: 0.234375] 13304: [discriminator loss: 0.558003, acc: 0.734375] [adversarial loss: 1.102492, acc: 0.296875] 13305: [discriminator loss: 0.603610, acc: 0.703125] [adversarial loss: 0.999822, acc: 0.359375] 13306: [discriminator loss: 0.569198, acc: 0.664062] [adversarial loss: 1.452581, acc: 0.125000] 13307: [discriminator loss: 0.594809, acc: 0.703125] [adversarial loss: 0.994156, acc: 0.343750] 13308: [discriminator loss: 0.536607, acc: 0.718750] [adversarial loss: 1.556843, acc: 0.140625] 13309: [discriminator loss: 0.564705, acc: 0.695312] [adversarial loss: 0.965633, acc: 0.390625] 13310: [discriminator loss: 0.653465, acc: 0.671875] [adversarial loss: 1.352839, acc: 0.156250] 13311: [discriminator loss: 0.622415, acc: 0.617188] [adversarial loss: 0.917155, acc: 0.343750] 13312: [discriminator loss: 0.563788, acc: 0.718750] [adversarial loss: 1.394075, acc: 0.218750] 13313: [discriminator loss: 0.527465, acc: 0.734375] [adversarial loss: 1.235971, acc: 0.203125] 13314: [discriminator loss: 0.564601, acc: 0.695312] [adversarial loss: 1.135727, acc: 0.296875] 13315: [discriminator loss: 0.565118, acc: 0.703125] [adversarial loss: 1.166642, acc: 0.187500] 13316: [discriminator loss: 0.510621, acc: 0.750000] [adversarial loss: 1.362401, acc: 0.203125] 13317: [discriminator loss: 0.559207, acc: 0.695312] [adversarial loss: 0.880601, acc: 0.421875] 13318: [discriminator loss: 0.546924, acc: 0.742188] [adversarial loss: 1.496552, acc: 0.171875] 13319: [discriminator loss: 0.564865, acc: 0.710938] [adversarial loss: 0.762848, acc: 0.515625] 13320: [discriminator loss: 0.572439, acc: 0.648438] [adversarial loss: 1.492777, acc: 0.125000] 13321: [discriminator loss: 0.617884, acc: 0.640625] [adversarial loss: 0.964706, acc: 0.390625] 13322: [discriminator loss: 0.577700, acc: 0.679688] [adversarial loss: 1.452528, acc: 0.109375] 13323: [discriminator loss: 0.533767, acc: 0.695312] [adversarial loss: 0.899361, acc: 0.421875] 13324: [discriminator loss: 0.602772, acc: 0.664062] [adversarial loss: 1.576758, acc: 0.093750] 13325: [discriminator loss: 0.577244, acc: 0.664062] [adversarial loss: 0.875245, acc: 0.453125] 13326: [discriminator loss: 0.535226, acc: 0.765625] [adversarial loss: 1.452297, acc: 0.093750] 13327: [discriminator loss: 0.575073, acc: 0.664062] [adversarial loss: 0.881087, acc: 0.468750] 13328: [discriminator loss: 0.582296, acc: 0.671875] [adversarial loss: 1.550355, acc: 0.093750] 13329: [discriminator loss: 0.593225, acc: 0.679688] [adversarial loss: 0.734201, acc: 0.484375] 13330: [discriminator loss: 0.523209, acc: 0.750000] [adversarial loss: 1.284394, acc: 0.250000] 13331: [discriminator loss: 0.523508, acc: 0.718750] [adversarial loss: 1.161123, acc: 0.234375] 13332: [discriminator loss: 0.489382, acc: 0.750000] [adversarial loss: 1.290975, acc: 0.250000] 13333: [discriminator loss: 0.684268, acc: 0.640625] [adversarial loss: 1.158948, acc: 0.312500] 13334: [discriminator loss: 0.507420, acc: 0.765625] [adversarial loss: 1.144028, acc: 0.359375] 13335: [discriminator loss: 0.515946, acc: 0.773438] [adversarial loss: 1.220272, acc: 0.203125] 13336: [discriminator loss: 0.537719, acc: 0.726562] [adversarial loss: 1.040179, acc: 0.328125] 13337: [discriminator loss: 0.553781, acc: 0.742188] [adversarial loss: 1.065141, acc: 0.250000] 13338: [discriminator loss: 0.482063, acc: 0.789062] [adversarial loss: 1.122509, acc: 0.265625] 13339: [discriminator loss: 0.550103, acc: 0.750000] [adversarial loss: 1.017188, acc: 0.343750] 13340: [discriminator loss: 0.571854, acc: 0.703125] [adversarial loss: 1.543363, acc: 0.078125] 13341: [discriminator loss: 0.531510, acc: 0.742188] [adversarial loss: 0.796375, acc: 0.562500] 13342: [discriminator loss: 0.546482, acc: 0.710938] [adversarial loss: 1.971623, acc: 0.078125] 13343: [discriminator loss: 0.745713, acc: 0.648438] [adversarial loss: 0.836065, acc: 0.437500] 13344: [discriminator loss: 0.576663, acc: 0.656250] [adversarial loss: 1.342434, acc: 0.171875] 13345: [discriminator loss: 0.627500, acc: 0.601562] [adversarial loss: 0.898362, acc: 0.437500] 13346: [discriminator loss: 0.513730, acc: 0.773438] [adversarial loss: 1.354425, acc: 0.093750] 13347: [discriminator loss: 0.503660, acc: 0.757812] [adversarial loss: 0.937526, acc: 0.328125] 13348: [discriminator loss: 0.540831, acc: 0.742188] [adversarial loss: 1.412912, acc: 0.171875] 13349: [discriminator loss: 0.564478, acc: 0.726562] [adversarial loss: 0.967065, acc: 0.343750] 13350: [discriminator loss: 0.533442, acc: 0.750000] [adversarial loss: 1.148218, acc: 0.265625] 13351: [discriminator loss: 0.532149, acc: 0.750000] [adversarial loss: 1.182120, acc: 0.250000] 13352: [discriminator loss: 0.540493, acc: 0.710938] [adversarial loss: 1.040788, acc: 0.296875] 13353: [discriminator loss: 0.551232, acc: 0.703125] [adversarial loss: 1.246498, acc: 0.281250] 13354: [discriminator loss: 0.580381, acc: 0.687500] [adversarial loss: 1.149328, acc: 0.234375] 13355: [discriminator loss: 0.522433, acc: 0.757812] [adversarial loss: 1.032225, acc: 0.375000] 13356: [discriminator loss: 0.590079, acc: 0.718750] [adversarial loss: 1.492828, acc: 0.093750] 13357: [discriminator loss: 0.564227, acc: 0.710938] [adversarial loss: 1.025264, acc: 0.250000] 13358: [discriminator loss: 0.560584, acc: 0.710938] [adversarial loss: 1.624207, acc: 0.156250] 13359: [discriminator loss: 0.527288, acc: 0.718750] [adversarial loss: 0.874537, acc: 0.359375] 13360: [discriminator loss: 0.629393, acc: 0.679688] [adversarial loss: 1.430319, acc: 0.156250] 13361: [discriminator loss: 0.591564, acc: 0.671875] [adversarial loss: 0.852550, acc: 0.437500] 13362: [discriminator loss: 0.576993, acc: 0.664062] [adversarial loss: 1.694543, acc: 0.046875] 13363: [discriminator loss: 0.589213, acc: 0.671875] [adversarial loss: 0.923708, acc: 0.468750] 13364: [discriminator loss: 0.579152, acc: 0.687500] [adversarial loss: 1.335826, acc: 0.203125] 13365: [discriminator loss: 0.597928, acc: 0.664062] [adversarial loss: 1.028546, acc: 0.296875] 13366: [discriminator loss: 0.514416, acc: 0.757812] [adversarial loss: 1.205441, acc: 0.265625] 13367: [discriminator loss: 0.529433, acc: 0.734375] [adversarial loss: 1.118372, acc: 0.265625] 13368: [discriminator loss: 0.576506, acc: 0.695312] [adversarial loss: 1.258226, acc: 0.203125] 13369: [discriminator loss: 0.450881, acc: 0.781250] [adversarial loss: 1.065127, acc: 0.359375] 13370: [discriminator loss: 0.608546, acc: 0.703125] [adversarial loss: 1.080084, acc: 0.281250] 13371: [discriminator loss: 0.579084, acc: 0.710938] [adversarial loss: 0.863982, acc: 0.453125] 13372: [discriminator loss: 0.564341, acc: 0.750000] [adversarial loss: 1.458164, acc: 0.140625] 13373: [discriminator loss: 0.583955, acc: 0.632812] [adversarial loss: 1.136873, acc: 0.265625] 13374: [discriminator loss: 0.455047, acc: 0.828125] [adversarial loss: 1.429759, acc: 0.125000] 13375: [discriminator loss: 0.557860, acc: 0.710938] [adversarial loss: 0.929403, acc: 0.437500] 13376: [discriminator loss: 0.552435, acc: 0.750000] [adversarial loss: 1.250782, acc: 0.234375] 13377: [discriminator loss: 0.553500, acc: 0.687500] [adversarial loss: 0.910693, acc: 0.375000] 13378: [discriminator loss: 0.540852, acc: 0.679688] [adversarial loss: 1.496499, acc: 0.109375] 13379: [discriminator loss: 0.624579, acc: 0.640625] [adversarial loss: 0.824570, acc: 0.500000] 13380: [discriminator loss: 0.553637, acc: 0.679688] [adversarial loss: 1.713471, acc: 0.093750] 13381: [discriminator loss: 0.661370, acc: 0.617188] [adversarial loss: 0.750063, acc: 0.593750] 13382: [discriminator loss: 0.585165, acc: 0.726562] [adversarial loss: 1.388410, acc: 0.125000] 13383: [discriminator loss: 0.502219, acc: 0.742188] [adversarial loss: 1.033401, acc: 0.312500] 13384: [discriminator loss: 0.574074, acc: 0.679688] [adversarial loss: 1.376854, acc: 0.171875] 13385: [discriminator loss: 0.529263, acc: 0.710938] [adversarial loss: 0.821012, acc: 0.515625] 13386: [discriminator loss: 0.580988, acc: 0.679688] [adversarial loss: 1.849152, acc: 0.046875] 13387: [discriminator loss: 0.620601, acc: 0.640625] [adversarial loss: 0.757870, acc: 0.531250] 13388: [discriminator loss: 0.681678, acc: 0.640625] [adversarial loss: 1.486656, acc: 0.156250] 13389: [discriminator loss: 0.610779, acc: 0.640625] [adversarial loss: 0.936302, acc: 0.390625] 13390: [discriminator loss: 0.493482, acc: 0.750000] [adversarial loss: 1.371205, acc: 0.125000] 13391: [discriminator loss: 0.545126, acc: 0.671875] [adversarial loss: 1.001996, acc: 0.312500] 13392: [discriminator loss: 0.537510, acc: 0.718750] [adversarial loss: 1.154806, acc: 0.281250] 13393: [discriminator loss: 0.581599, acc: 0.703125] [adversarial loss: 1.287403, acc: 0.203125] 13394: [discriminator loss: 0.589275, acc: 0.648438] [adversarial loss: 1.169114, acc: 0.203125] 13395: [discriminator loss: 0.559304, acc: 0.687500] [adversarial loss: 1.171526, acc: 0.218750] 13396: [discriminator loss: 0.514145, acc: 0.734375] [adversarial loss: 1.067935, acc: 0.234375] 13397: [discriminator loss: 0.592202, acc: 0.664062] [adversarial loss: 1.353743, acc: 0.125000] 13398: [discriminator loss: 0.579246, acc: 0.679688] [adversarial loss: 1.033076, acc: 0.359375] 13399: [discriminator loss: 0.583966, acc: 0.671875] [adversarial loss: 1.077042, acc: 0.312500] 13400: [discriminator loss: 0.488014, acc: 0.742188] [adversarial loss: 1.318873, acc: 0.234375] 13401: [discriminator loss: 0.561548, acc: 0.718750] [adversarial loss: 1.104662, acc: 0.296875] 13402: [discriminator loss: 0.512142, acc: 0.742188] [adversarial loss: 1.192100, acc: 0.171875] 13403: [discriminator loss: 0.530369, acc: 0.710938] [adversarial loss: 0.799083, acc: 0.484375] 13404: [discriminator loss: 0.512567, acc: 0.757812] [adversarial loss: 1.458220, acc: 0.156250] 13405: [discriminator loss: 0.553048, acc: 0.703125] [adversarial loss: 0.821350, acc: 0.453125] 13406: [discriminator loss: 0.573872, acc: 0.718750] [adversarial loss: 1.476756, acc: 0.093750] 13407: [discriminator loss: 0.548855, acc: 0.710938] [adversarial loss: 0.933235, acc: 0.437500] 13408: [discriminator loss: 0.534789, acc: 0.726562] [adversarial loss: 1.364848, acc: 0.187500] 13409: [discriminator loss: 0.530872, acc: 0.703125] [adversarial loss: 0.910240, acc: 0.406250] 13410: [discriminator loss: 0.520736, acc: 0.757812] [adversarial loss: 1.269527, acc: 0.171875] 13411: [discriminator loss: 0.580372, acc: 0.664062] [adversarial loss: 1.133536, acc: 0.203125] 13412: [discriminator loss: 0.551306, acc: 0.710938] [adversarial loss: 1.375331, acc: 0.171875] 13413: [discriminator loss: 0.528719, acc: 0.718750] [adversarial loss: 0.762031, acc: 0.484375] 13414: [discriminator loss: 0.581923, acc: 0.687500] [adversarial loss: 1.363905, acc: 0.125000] 13415: [discriminator loss: 0.563657, acc: 0.695312] [adversarial loss: 1.329060, acc: 0.171875] 13416: [discriminator loss: 0.577149, acc: 0.664062] [adversarial loss: 1.012153, acc: 0.343750] 13417: [discriminator loss: 0.491364, acc: 0.742188] [adversarial loss: 1.396959, acc: 0.125000] 13418: [discriminator loss: 0.545699, acc: 0.687500] [adversarial loss: 1.112777, acc: 0.296875] 13419: [discriminator loss: 0.509732, acc: 0.757812] [adversarial loss: 1.239008, acc: 0.218750] 13420: [discriminator loss: 0.585510, acc: 0.625000] [adversarial loss: 1.084596, acc: 0.359375] 13421: [discriminator loss: 0.546366, acc: 0.734375] [adversarial loss: 1.432127, acc: 0.187500] 13422: [discriminator loss: 0.537496, acc: 0.734375] [adversarial loss: 1.229252, acc: 0.281250] 13423: [discriminator loss: 0.509047, acc: 0.734375] [adversarial loss: 1.300452, acc: 0.109375] 13424: [discriminator loss: 0.593047, acc: 0.687500] [adversarial loss: 1.016479, acc: 0.390625] 13425: [discriminator loss: 0.501505, acc: 0.726562] [adversarial loss: 1.451430, acc: 0.125000] 13426: [discriminator loss: 0.593112, acc: 0.664062] [adversarial loss: 0.965189, acc: 0.375000] 13427: [discriminator loss: 0.541355, acc: 0.679688] [adversarial loss: 1.620560, acc: 0.093750] 13428: [discriminator loss: 0.558338, acc: 0.679688] [adversarial loss: 1.133266, acc: 0.218750] 13429: [discriminator loss: 0.601043, acc: 0.671875] [adversarial loss: 1.529896, acc: 0.093750] 13430: [discriminator loss: 0.565716, acc: 0.664062] [adversarial loss: 0.818278, acc: 0.546875] 13431: [discriminator loss: 0.571621, acc: 0.742188] [adversarial loss: 1.386848, acc: 0.187500] 13432: [discriminator loss: 0.621856, acc: 0.640625] [adversarial loss: 1.183614, acc: 0.281250] 13433: [discriminator loss: 0.582760, acc: 0.679688] [adversarial loss: 1.040794, acc: 0.328125] 13434: [discriminator loss: 0.540037, acc: 0.750000] [adversarial loss: 1.310678, acc: 0.203125] 13435: [discriminator loss: 0.597529, acc: 0.664062] [adversarial loss: 1.166528, acc: 0.265625] 13436: [discriminator loss: 0.527610, acc: 0.781250] [adversarial loss: 1.085989, acc: 0.281250] 13437: [discriminator loss: 0.478203, acc: 0.789062] [adversarial loss: 1.298251, acc: 0.156250] 13438: [discriminator loss: 0.453984, acc: 0.796875] [adversarial loss: 1.109086, acc: 0.296875] 13439: [discriminator loss: 0.538846, acc: 0.703125] [adversarial loss: 1.146502, acc: 0.203125] 13440: [discriminator loss: 0.533750, acc: 0.773438] [adversarial loss: 1.340960, acc: 0.265625] 13441: [discriminator loss: 0.578717, acc: 0.703125] [adversarial loss: 1.232850, acc: 0.312500] 13442: [discriminator loss: 0.566100, acc: 0.710938] [adversarial loss: 1.016560, acc: 0.328125] 13443: [discriminator loss: 0.609844, acc: 0.648438] [adversarial loss: 1.559625, acc: 0.125000] 13444: [discriminator loss: 0.662876, acc: 0.570312] [adversarial loss: 0.712914, acc: 0.562500] 13445: [discriminator loss: 0.707236, acc: 0.664062] [adversarial loss: 2.052464, acc: 0.015625] 13446: [discriminator loss: 0.670269, acc: 0.601562] [adversarial loss: 0.762412, acc: 0.562500] 13447: [discriminator loss: 0.604537, acc: 0.664062] [adversarial loss: 1.238844, acc: 0.218750] 13448: [discriminator loss: 0.492213, acc: 0.773438] [adversarial loss: 1.231916, acc: 0.218750] 13449: [discriminator loss: 0.503092, acc: 0.765625] [adversarial loss: 0.936582, acc: 0.390625] 13450: [discriminator loss: 0.551845, acc: 0.687500] [adversarial loss: 1.170509, acc: 0.203125] 13451: [discriminator loss: 0.522651, acc: 0.734375] [adversarial loss: 0.957279, acc: 0.359375] 13452: [discriminator loss: 0.584784, acc: 0.656250] [adversarial loss: 1.177962, acc: 0.250000] 13453: [discriminator loss: 0.592321, acc: 0.632812] [adversarial loss: 1.137218, acc: 0.250000] 13454: [discriminator loss: 0.538535, acc: 0.703125] [adversarial loss: 1.079620, acc: 0.250000] 13455: [discriminator loss: 0.538563, acc: 0.734375] [adversarial loss: 0.986840, acc: 0.359375] 13456: [discriminator loss: 0.513902, acc: 0.742188] [adversarial loss: 1.170634, acc: 0.281250] 13457: [discriminator loss: 0.529779, acc: 0.757812] [adversarial loss: 1.191036, acc: 0.156250] 13458: [discriminator loss: 0.572374, acc: 0.687500] [adversarial loss: 0.835984, acc: 0.515625] 13459: [discriminator loss: 0.509845, acc: 0.750000] [adversarial loss: 1.457985, acc: 0.093750] 13460: [discriminator loss: 0.506231, acc: 0.734375] [adversarial loss: 1.029864, acc: 0.421875] 13461: [discriminator loss: 0.514880, acc: 0.781250] [adversarial loss: 1.623225, acc: 0.140625] 13462: [discriminator loss: 0.547606, acc: 0.710938] [adversarial loss: 0.862415, acc: 0.406250] 13463: [discriminator loss: 0.550498, acc: 0.687500] [adversarial loss: 1.059984, acc: 0.265625] 13464: [discriminator loss: 0.563417, acc: 0.710938] [adversarial loss: 0.955955, acc: 0.343750] 13465: [discriminator loss: 0.543487, acc: 0.742188] [adversarial loss: 1.411373, acc: 0.156250] 13466: [discriminator loss: 0.546026, acc: 0.703125] [adversarial loss: 0.852453, acc: 0.468750] 13467: [discriminator loss: 0.608591, acc: 0.679688] [adversarial loss: 1.468408, acc: 0.093750] 13468: [discriminator loss: 0.603102, acc: 0.687500] [adversarial loss: 0.857361, acc: 0.421875] 13469: [discriminator loss: 0.566941, acc: 0.695312] [adversarial loss: 1.442620, acc: 0.140625] 13470: [discriminator loss: 0.470051, acc: 0.765625] [adversarial loss: 1.075654, acc: 0.343750] 13471: [discriminator loss: 0.613785, acc: 0.664062] [adversarial loss: 1.337447, acc: 0.203125] 13472: [discriminator loss: 0.537731, acc: 0.695312] [adversarial loss: 0.899259, acc: 0.421875] 13473: [discriminator loss: 0.586373, acc: 0.710938] [adversarial loss: 1.402507, acc: 0.218750] 13474: [discriminator loss: 0.558210, acc: 0.718750] [adversarial loss: 0.923992, acc: 0.390625] 13475: [discriminator loss: 0.500955, acc: 0.718750] [adversarial loss: 1.123491, acc: 0.265625] 13476: [discriminator loss: 0.566176, acc: 0.671875] [adversarial loss: 1.111071, acc: 0.328125] 13477: [discriminator loss: 0.579807, acc: 0.703125] [adversarial loss: 1.280427, acc: 0.187500] 13478: [discriminator loss: 0.573036, acc: 0.687500] [adversarial loss: 0.727432, acc: 0.578125] 13479: [discriminator loss: 0.620904, acc: 0.695312] [adversarial loss: 1.420374, acc: 0.156250] 13480: [discriminator loss: 0.599837, acc: 0.664062] [adversarial loss: 1.051025, acc: 0.328125] 13481: [discriminator loss: 0.536533, acc: 0.703125] [adversarial loss: 1.355018, acc: 0.187500] 13482: [discriminator loss: 0.534976, acc: 0.734375] [adversarial loss: 1.055235, acc: 0.281250] 13483: [discriminator loss: 0.646803, acc: 0.609375] [adversarial loss: 1.309382, acc: 0.187500] 13484: [discriminator loss: 0.544009, acc: 0.679688] [adversarial loss: 0.889344, acc: 0.406250] 13485: [discriminator loss: 0.528802, acc: 0.742188] [adversarial loss: 1.598027, acc: 0.078125] 13486: [discriminator loss: 0.599734, acc: 0.679688] [adversarial loss: 0.894982, acc: 0.437500] 13487: [discriminator loss: 0.513892, acc: 0.781250] [adversarial loss: 1.190266, acc: 0.265625] 13488: [discriminator loss: 0.505083, acc: 0.742188] [adversarial loss: 1.220055, acc: 0.187500] 13489: [discriminator loss: 0.511559, acc: 0.765625] [adversarial loss: 0.963547, acc: 0.296875] 13490: [discriminator loss: 0.527858, acc: 0.773438] [adversarial loss: 1.123363, acc: 0.265625] 13491: [discriminator loss: 0.575932, acc: 0.687500] [adversarial loss: 1.428967, acc: 0.078125] 13492: [discriminator loss: 0.494501, acc: 0.710938] [adversarial loss: 0.914082, acc: 0.390625] 13493: [discriminator loss: 0.468729, acc: 0.781250] [adversarial loss: 1.448117, acc: 0.203125] 13494: [discriminator loss: 0.532655, acc: 0.742188] [adversarial loss: 0.947521, acc: 0.359375] 13495: [discriminator loss: 0.538087, acc: 0.687500] [adversarial loss: 1.443278, acc: 0.093750] 13496: [discriminator loss: 0.517614, acc: 0.726562] [adversarial loss: 1.031086, acc: 0.359375] 13497: [discriminator loss: 0.554244, acc: 0.726562] [adversarial loss: 1.163838, acc: 0.218750] 13498: [discriminator loss: 0.642278, acc: 0.671875] [adversarial loss: 0.943149, acc: 0.453125] 13499: [discriminator loss: 0.590057, acc: 0.664062] [adversarial loss: 1.363441, acc: 0.234375] 13500: [discriminator loss: 0.613431, acc: 0.664062] [adversarial loss: 0.921534, acc: 0.453125] 13501: [discriminator loss: 0.531936, acc: 0.750000] [adversarial loss: 1.231873, acc: 0.265625] 13502: [discriminator loss: 0.537690, acc: 0.710938] [adversarial loss: 1.085597, acc: 0.328125] 13503: [discriminator loss: 0.552401, acc: 0.671875] [adversarial loss: 1.153306, acc: 0.328125] 13504: [discriminator loss: 0.517574, acc: 0.726562] [adversarial loss: 1.259531, acc: 0.234375] 13505: [discriminator loss: 0.631147, acc: 0.640625] [adversarial loss: 1.136170, acc: 0.234375] 13506: [discriminator loss: 0.600834, acc: 0.703125] [adversarial loss: 1.084878, acc: 0.281250] 13507: [discriminator loss: 0.546369, acc: 0.710938] [adversarial loss: 1.296294, acc: 0.203125] 13508: [discriminator loss: 0.525197, acc: 0.726562] [adversarial loss: 1.110763, acc: 0.296875] 13509: [discriminator loss: 0.496695, acc: 0.750000] [adversarial loss: 1.071169, acc: 0.328125] 13510: [discriminator loss: 0.515743, acc: 0.757812] [adversarial loss: 1.066083, acc: 0.312500] 13511: [discriminator loss: 0.539160, acc: 0.687500] [adversarial loss: 1.740766, acc: 0.109375] 13512: [discriminator loss: 0.617286, acc: 0.671875] [adversarial loss: 0.753111, acc: 0.609375] 13513: [discriminator loss: 0.625330, acc: 0.664062] [adversarial loss: 1.531797, acc: 0.140625] 13514: [discriminator loss: 0.650233, acc: 0.703125] [adversarial loss: 1.042516, acc: 0.343750] 13515: [discriminator loss: 0.610664, acc: 0.726562] [adversarial loss: 1.411228, acc: 0.093750] 13516: [discriminator loss: 0.469913, acc: 0.742188] [adversarial loss: 0.902774, acc: 0.484375] 13517: [discriminator loss: 0.524403, acc: 0.710938] [adversarial loss: 1.278029, acc: 0.187500] 13518: [discriminator loss: 0.537522, acc: 0.687500] [adversarial loss: 1.166407, acc: 0.234375] 13519: [discriminator loss: 0.535387, acc: 0.679688] [adversarial loss: 1.323823, acc: 0.187500] 13520: [discriminator loss: 0.574928, acc: 0.687500] [adversarial loss: 1.092031, acc: 0.250000] 13521: [discriminator loss: 0.563759, acc: 0.695312] [adversarial loss: 1.331473, acc: 0.171875] 13522: [discriminator loss: 0.533349, acc: 0.734375] [adversarial loss: 1.294859, acc: 0.218750] 13523: [discriminator loss: 0.555347, acc: 0.710938] [adversarial loss: 1.092914, acc: 0.375000] 13524: [discriminator loss: 0.484507, acc: 0.734375] [adversarial loss: 1.213545, acc: 0.296875] 13525: [discriminator loss: 0.560485, acc: 0.695312] [adversarial loss: 0.983574, acc: 0.343750] 13526: [discriminator loss: 0.597061, acc: 0.656250] [adversarial loss: 1.573147, acc: 0.109375] 13527: [discriminator loss: 0.573002, acc: 0.671875] [adversarial loss: 0.888742, acc: 0.453125] 13528: [discriminator loss: 0.544477, acc: 0.765625] [adversarial loss: 1.524169, acc: 0.078125] 13529: [discriminator loss: 0.600268, acc: 0.671875] [adversarial loss: 0.948575, acc: 0.453125] 13530: [discriminator loss: 0.523610, acc: 0.718750] [adversarial loss: 1.413816, acc: 0.171875] 13531: [discriminator loss: 0.556227, acc: 0.664062] [adversarial loss: 0.956482, acc: 0.453125] 13532: [discriminator loss: 0.539462, acc: 0.718750] [adversarial loss: 1.252581, acc: 0.250000] 13533: [discriminator loss: 0.480545, acc: 0.765625] [adversarial loss: 1.144090, acc: 0.265625] 13534: [discriminator loss: 0.531212, acc: 0.703125] [adversarial loss: 1.048017, acc: 0.312500] 13535: [discriminator loss: 0.551858, acc: 0.703125] [adversarial loss: 1.293352, acc: 0.218750] 13536: [discriminator loss: 0.510565, acc: 0.750000] [adversarial loss: 0.927232, acc: 0.453125] 13537: [discriminator loss: 0.506084, acc: 0.781250] [adversarial loss: 1.231526, acc: 0.250000] 13538: [discriminator loss: 0.543358, acc: 0.726562] [adversarial loss: 0.957078, acc: 0.390625] 13539: [discriminator loss: 0.541839, acc: 0.710938] [adversarial loss: 1.356475, acc: 0.218750] 13540: [discriminator loss: 0.531425, acc: 0.726562] [adversarial loss: 1.115204, acc: 0.328125] 13541: [discriminator loss: 0.597587, acc: 0.710938] [adversarial loss: 1.150066, acc: 0.250000] 13542: [discriminator loss: 0.503007, acc: 0.750000] [adversarial loss: 1.087847, acc: 0.343750] 13543: [discriminator loss: 0.622232, acc: 0.625000] [adversarial loss: 1.403304, acc: 0.109375] 13544: [discriminator loss: 0.581734, acc: 0.671875] [adversarial loss: 0.981915, acc: 0.359375] 13545: [discriminator loss: 0.508795, acc: 0.726562] [adversarial loss: 1.447626, acc: 0.140625] 13546: [discriminator loss: 0.597588, acc: 0.671875] [adversarial loss: 0.800090, acc: 0.500000] 13547: [discriminator loss: 0.665874, acc: 0.640625] [adversarial loss: 1.602852, acc: 0.125000] 13548: [discriminator loss: 0.542045, acc: 0.703125] [adversarial loss: 0.808705, acc: 0.515625] 13549: [discriminator loss: 0.541091, acc: 0.742188] [adversarial loss: 1.447364, acc: 0.187500] 13550: [discriminator loss: 0.604361, acc: 0.640625] [adversarial loss: 0.863688, acc: 0.437500] 13551: [discriminator loss: 0.589728, acc: 0.671875] [adversarial loss: 1.436934, acc: 0.187500] 13552: [discriminator loss: 0.470415, acc: 0.773438] [adversarial loss: 0.960622, acc: 0.375000] 13553: [discriminator loss: 0.504857, acc: 0.773438] [adversarial loss: 1.352710, acc: 0.234375] 13554: [discriminator loss: 0.476144, acc: 0.757812] [adversarial loss: 0.961056, acc: 0.390625] 13555: [discriminator loss: 0.516445, acc: 0.765625] [adversarial loss: 1.207486, acc: 0.234375] 13556: [discriminator loss: 0.544786, acc: 0.750000] [adversarial loss: 0.953150, acc: 0.406250] 13557: [discriminator loss: 0.582677, acc: 0.695312] [adversarial loss: 1.165522, acc: 0.218750] 13558: [discriminator loss: 0.490274, acc: 0.796875] [adversarial loss: 1.021639, acc: 0.328125] 13559: [discriminator loss: 0.475592, acc: 0.820312] [adversarial loss: 1.381254, acc: 0.156250] 13560: [discriminator loss: 0.539281, acc: 0.734375] [adversarial loss: 0.869974, acc: 0.453125] 13561: [discriminator loss: 0.561220, acc: 0.656250] [adversarial loss: 1.656011, acc: 0.031250] 13562: [discriminator loss: 0.604775, acc: 0.687500] [adversarial loss: 0.996697, acc: 0.328125] 13563: [discriminator loss: 0.591978, acc: 0.640625] [adversarial loss: 1.160114, acc: 0.312500] 13564: [discriminator loss: 0.541170, acc: 0.687500] [adversarial loss: 1.225505, acc: 0.234375] 13565: [discriminator loss: 0.518353, acc: 0.742188] [adversarial loss: 0.905720, acc: 0.359375] 13566: [discriminator loss: 0.477815, acc: 0.804688] [adversarial loss: 1.362197, acc: 0.156250] 13567: [discriminator loss: 0.558137, acc: 0.703125] [adversarial loss: 1.001637, acc: 0.343750] 13568: [discriminator loss: 0.617268, acc: 0.625000] [adversarial loss: 1.171145, acc: 0.250000] 13569: [discriminator loss: 0.572186, acc: 0.664062] [adversarial loss: 1.006648, acc: 0.375000] 13570: [discriminator loss: 0.502184, acc: 0.765625] [adversarial loss: 1.542871, acc: 0.125000] 13571: [discriminator loss: 0.594991, acc: 0.679688] [adversarial loss: 0.654448, acc: 0.718750] 13572: [discriminator loss: 0.631797, acc: 0.648438] [adversarial loss: 1.715214, acc: 0.093750] 13573: [discriminator loss: 0.528863, acc: 0.703125] [adversarial loss: 0.938563, acc: 0.296875] 13574: [discriminator loss: 0.561784, acc: 0.671875] [adversarial loss: 1.392094, acc: 0.140625] 13575: [discriminator loss: 0.586327, acc: 0.687500] [adversarial loss: 0.932281, acc: 0.390625] 13576: [discriminator loss: 0.595089, acc: 0.640625] [adversarial loss: 1.213449, acc: 0.234375] 13577: [discriminator loss: 0.492387, acc: 0.710938] [adversarial loss: 1.390507, acc: 0.171875] 13578: [discriminator loss: 0.590610, acc: 0.656250] [adversarial loss: 0.912390, acc: 0.406250] 13579: [discriminator loss: 0.508335, acc: 0.796875] [adversarial loss: 1.289746, acc: 0.234375] 13580: [discriminator loss: 0.547557, acc: 0.679688] [adversarial loss: 0.737762, acc: 0.500000] 13581: [discriminator loss: 0.599345, acc: 0.664062] [adversarial loss: 1.501173, acc: 0.140625] 13582: [discriminator loss: 0.531726, acc: 0.773438] [adversarial loss: 1.074031, acc: 0.203125] 13583: [discriminator loss: 0.622914, acc: 0.632812] [adversarial loss: 1.335465, acc: 0.140625] 13584: [discriminator loss: 0.420068, acc: 0.812500] [adversarial loss: 0.931116, acc: 0.312500] 13585: [discriminator loss: 0.545683, acc: 0.734375] [adversarial loss: 1.437998, acc: 0.093750] 13586: [discriminator loss: 0.546950, acc: 0.726562] [adversarial loss: 0.983274, acc: 0.312500] 13587: [discriminator loss: 0.551242, acc: 0.773438] [adversarial loss: 1.195643, acc: 0.250000] 13588: [discriminator loss: 0.477918, acc: 0.765625] [adversarial loss: 1.245584, acc: 0.203125] 13589: [discriminator loss: 0.483240, acc: 0.773438] [adversarial loss: 1.145206, acc: 0.234375] 13590: [discriminator loss: 0.439417, acc: 0.781250] [adversarial loss: 1.169467, acc: 0.250000] 13591: [discriminator loss: 0.491802, acc: 0.734375] [adversarial loss: 1.007775, acc: 0.375000] 13592: [discriminator loss: 0.504183, acc: 0.742188] [adversarial loss: 1.262306, acc: 0.187500] 13593: [discriminator loss: 0.478695, acc: 0.765625] [adversarial loss: 0.946387, acc: 0.390625] 13594: [discriminator loss: 0.572216, acc: 0.695312] [adversarial loss: 1.462717, acc: 0.234375] 13595: [discriminator loss: 0.564613, acc: 0.734375] [adversarial loss: 1.117397, acc: 0.343750] 13596: [discriminator loss: 0.544341, acc: 0.710938] [adversarial loss: 1.167287, acc: 0.328125] 13597: [discriminator loss: 0.513099, acc: 0.695312] [adversarial loss: 1.348218, acc: 0.187500] 13598: [discriminator loss: 0.561446, acc: 0.671875] [adversarial loss: 1.171808, acc: 0.281250] 13599: [discriminator loss: 0.508543, acc: 0.757812] [adversarial loss: 0.707889, acc: 0.578125] 13600: [discriminator loss: 0.618388, acc: 0.640625] [adversarial loss: 1.674871, acc: 0.093750] 13601: [discriminator loss: 0.668725, acc: 0.625000] [adversarial loss: 0.711942, acc: 0.562500] 13602: [discriminator loss: 0.575571, acc: 0.648438] [adversarial loss: 1.443708, acc: 0.093750] 13603: [discriminator loss: 0.546950, acc: 0.710938] [adversarial loss: 1.064146, acc: 0.234375] 13604: [discriminator loss: 0.572172, acc: 0.671875] [adversarial loss: 1.363394, acc: 0.109375] 13605: [discriminator loss: 0.560769, acc: 0.687500] [adversarial loss: 0.971608, acc: 0.390625] 13606: [discriminator loss: 0.538238, acc: 0.718750] [adversarial loss: 1.654981, acc: 0.109375] 13607: [discriminator loss: 0.555815, acc: 0.687500] [adversarial loss: 0.965292, acc: 0.390625] 13608: [discriminator loss: 0.615483, acc: 0.632812] [adversarial loss: 1.481066, acc: 0.125000] 13609: [discriminator loss: 0.582409, acc: 0.695312] [adversarial loss: 1.233215, acc: 0.265625] 13610: [discriminator loss: 0.594406, acc: 0.726562] [adversarial loss: 1.233954, acc: 0.171875] 13611: [discriminator loss: 0.511344, acc: 0.765625] [adversarial loss: 0.976385, acc: 0.375000] 13612: [discriminator loss: 0.564279, acc: 0.687500] [adversarial loss: 1.157075, acc: 0.218750] 13613: [discriminator loss: 0.553721, acc: 0.726562] [adversarial loss: 1.111763, acc: 0.312500] 13614: [discriminator loss: 0.522072, acc: 0.734375] [adversarial loss: 0.982004, acc: 0.390625] 13615: [discriminator loss: 0.553865, acc: 0.734375] [adversarial loss: 1.288827, acc: 0.187500] 13616: [discriminator loss: 0.512673, acc: 0.757812] [adversarial loss: 0.932702, acc: 0.437500] 13617: [discriminator loss: 0.557727, acc: 0.734375] [adversarial loss: 1.334898, acc: 0.187500] 13618: [discriminator loss: 0.593158, acc: 0.679688] [adversarial loss: 1.014413, acc: 0.359375] 13619: [discriminator loss: 0.472937, acc: 0.789062] [adversarial loss: 1.047869, acc: 0.375000] 13620: [discriminator loss: 0.545057, acc: 0.726562] [adversarial loss: 1.238070, acc: 0.281250] 13621: [discriminator loss: 0.513931, acc: 0.773438] [adversarial loss: 1.055717, acc: 0.281250] 13622: [discriminator loss: 0.544783, acc: 0.679688] [adversarial loss: 1.197503, acc: 0.250000] 13623: [discriminator loss: 0.572288, acc: 0.710938] [adversarial loss: 1.212299, acc: 0.281250] 13624: [discriminator loss: 0.536335, acc: 0.695312] [adversarial loss: 1.337450, acc: 0.140625] 13625: [discriminator loss: 0.616207, acc: 0.687500] [adversarial loss: 1.025364, acc: 0.328125] 13626: [discriminator loss: 0.584905, acc: 0.671875] [adversarial loss: 1.039409, acc: 0.328125] 13627: [discriminator loss: 0.666461, acc: 0.640625] [adversarial loss: 1.580204, acc: 0.093750] 13628: [discriminator loss: 0.617045, acc: 0.601562] [adversarial loss: 0.876260, acc: 0.343750] 13629: [discriminator loss: 0.537627, acc: 0.718750] [adversarial loss: 1.413338, acc: 0.187500] 13630: [discriminator loss: 0.519581, acc: 0.687500] [adversarial loss: 1.050070, acc: 0.281250] 13631: [discriminator loss: 0.520454, acc: 0.718750] [adversarial loss: 0.980580, acc: 0.328125] 13632: [discriminator loss: 0.585992, acc: 0.687500] [adversarial loss: 1.645716, acc: 0.109375] 13633: [discriminator loss: 0.527178, acc: 0.679688] [adversarial loss: 1.059036, acc: 0.281250] 13634: [discriminator loss: 0.530804, acc: 0.710938] [adversarial loss: 1.326533, acc: 0.203125] 13635: [discriminator loss: 0.626287, acc: 0.679688] [adversarial loss: 1.436275, acc: 0.171875] 13636: [discriminator loss: 0.577300, acc: 0.695312] [adversarial loss: 0.855864, acc: 0.484375] 13637: [discriminator loss: 0.494761, acc: 0.734375] [adversarial loss: 1.372247, acc: 0.187500] 13638: [discriminator loss: 0.526165, acc: 0.718750] [adversarial loss: 1.632435, acc: 0.093750] 13639: [discriminator loss: 0.536119, acc: 0.710938] [adversarial loss: 0.858933, acc: 0.453125] 13640: [discriminator loss: 0.567573, acc: 0.695312] [adversarial loss: 1.448107, acc: 0.234375] 13641: [discriminator loss: 0.552315, acc: 0.726562] [adversarial loss: 0.917597, acc: 0.453125] 13642: [discriminator loss: 0.615100, acc: 0.695312] [adversarial loss: 1.754314, acc: 0.000000] 13643: [discriminator loss: 0.747102, acc: 0.531250] [adversarial loss: 0.800630, acc: 0.484375] 13644: [discriminator loss: 0.539060, acc: 0.695312] [adversarial loss: 1.559511, acc: 0.125000] 13645: [discriminator loss: 0.549212, acc: 0.656250] [adversarial loss: 1.068202, acc: 0.375000] 13646: [discriminator loss: 0.593595, acc: 0.671875] [adversarial loss: 1.059965, acc: 0.234375] 13647: [discriminator loss: 0.565559, acc: 0.703125] [adversarial loss: 1.092099, acc: 0.343750] 13648: [discriminator loss: 0.548041, acc: 0.718750] [adversarial loss: 1.159618, acc: 0.328125] 13649: [discriminator loss: 0.574235, acc: 0.656250] [adversarial loss: 1.037822, acc: 0.343750] 13650: [discriminator loss: 0.557523, acc: 0.757812] [adversarial loss: 1.481937, acc: 0.125000] 13651: [discriminator loss: 0.538336, acc: 0.718750] [adversarial loss: 0.961809, acc: 0.375000] 13652: [discriminator loss: 0.571130, acc: 0.742188] [adversarial loss: 1.483204, acc: 0.156250] 13653: [discriminator loss: 0.504242, acc: 0.742188] [adversarial loss: 1.037505, acc: 0.343750] 13654: [discriminator loss: 0.478459, acc: 0.750000] [adversarial loss: 1.168025, acc: 0.281250] 13655: [discriminator loss: 0.592510, acc: 0.687500] [adversarial loss: 1.270326, acc: 0.203125] 13656: [discriminator loss: 0.614980, acc: 0.625000] [adversarial loss: 1.381625, acc: 0.156250] 13657: [discriminator loss: 0.516999, acc: 0.742188] [adversarial loss: 1.143828, acc: 0.265625] 13658: [discriminator loss: 0.578956, acc: 0.710938] [adversarial loss: 1.102273, acc: 0.296875] 13659: [discriminator loss: 0.526050, acc: 0.710938] [adversarial loss: 1.152626, acc: 0.203125] 13660: [discriminator loss: 0.643335, acc: 0.656250] [adversarial loss: 1.122309, acc: 0.343750] 13661: [discriminator loss: 0.508386, acc: 0.757812] [adversarial loss: 1.134614, acc: 0.203125] 13662: [discriminator loss: 0.568701, acc: 0.648438] [adversarial loss: 1.095807, acc: 0.328125] 13663: [discriminator loss: 0.571328, acc: 0.703125] [adversarial loss: 1.397699, acc: 0.156250] 13664: [discriminator loss: 0.590261, acc: 0.718750] [adversarial loss: 1.073526, acc: 0.281250] 13665: [discriminator loss: 0.510732, acc: 0.773438] [adversarial loss: 1.320424, acc: 0.250000] 13666: [discriminator loss: 0.569597, acc: 0.726562] [adversarial loss: 0.971712, acc: 0.390625] 13667: [discriminator loss: 0.569158, acc: 0.718750] [adversarial loss: 1.562375, acc: 0.093750] 13668: [discriminator loss: 0.587691, acc: 0.656250] [adversarial loss: 0.933146, acc: 0.421875] 13669: [discriminator loss: 0.566130, acc: 0.726562] [adversarial loss: 1.667948, acc: 0.062500] 13670: [discriminator loss: 0.545312, acc: 0.757812] [adversarial loss: 0.959397, acc: 0.359375] 13671: [discriminator loss: 0.584738, acc: 0.687500] [adversarial loss: 1.550357, acc: 0.140625] 13672: [discriminator loss: 0.582287, acc: 0.664062] [adversarial loss: 0.802069, acc: 0.531250] 13673: [discriminator loss: 0.563273, acc: 0.726562] [adversarial loss: 1.428350, acc: 0.156250] 13674: [discriminator loss: 0.517703, acc: 0.734375] [adversarial loss: 0.928720, acc: 0.406250] 13675: [discriminator loss: 0.559229, acc: 0.703125] [adversarial loss: 1.223097, acc: 0.250000] 13676: [discriminator loss: 0.555973, acc: 0.703125] [adversarial loss: 1.046253, acc: 0.328125] 13677: [discriminator loss: 0.490150, acc: 0.781250] [adversarial loss: 1.218325, acc: 0.187500] 13678: [discriminator loss: 0.496087, acc: 0.757812] [adversarial loss: 0.956865, acc: 0.359375] 13679: [discriminator loss: 0.553030, acc: 0.718750] [adversarial loss: 1.593616, acc: 0.093750] 13680: [discriminator loss: 0.584809, acc: 0.687500] [adversarial loss: 1.115321, acc: 0.312500] 13681: [discriminator loss: 0.530295, acc: 0.718750] [adversarial loss: 1.307078, acc: 0.218750] 13682: [discriminator loss: 0.614031, acc: 0.656250] [adversarial loss: 1.356229, acc: 0.140625] 13683: [discriminator loss: 0.572958, acc: 0.695312] [adversarial loss: 1.249983, acc: 0.281250] 13684: [discriminator loss: 0.559279, acc: 0.703125] [adversarial loss: 1.256354, acc: 0.125000] 13685: [discriminator loss: 0.559230, acc: 0.687500] [adversarial loss: 0.877712, acc: 0.421875] 13686: [discriminator loss: 0.535020, acc: 0.718750] [adversarial loss: 1.215963, acc: 0.234375] 13687: [discriminator loss: 0.507928, acc: 0.726562] [adversarial loss: 1.200722, acc: 0.281250] 13688: [discriminator loss: 0.582120, acc: 0.695312] [adversarial loss: 1.063954, acc: 0.312500] 13689: [discriminator loss: 0.625449, acc: 0.640625] [adversarial loss: 1.214887, acc: 0.312500] 13690: [discriminator loss: 0.521992, acc: 0.734375] [adversarial loss: 1.273531, acc: 0.218750] 13691: [discriminator loss: 0.547448, acc: 0.726562] [adversarial loss: 1.146962, acc: 0.234375] 13692: [discriminator loss: 0.500301, acc: 0.773438] [adversarial loss: 1.081254, acc: 0.265625] 13693: [discriminator loss: 0.544897, acc: 0.718750] [adversarial loss: 1.130440, acc: 0.312500] 13694: [discriminator loss: 0.547548, acc: 0.710938] [adversarial loss: 1.481799, acc: 0.078125] 13695: [discriminator loss: 0.633878, acc: 0.593750] [adversarial loss: 0.971301, acc: 0.312500] 13696: [discriminator loss: 0.584235, acc: 0.710938] [adversarial loss: 1.376712, acc: 0.156250] 13697: [discriminator loss: 0.613657, acc: 0.648438] [adversarial loss: 0.674975, acc: 0.640625] 13698: [discriminator loss: 0.623281, acc: 0.664062] [adversarial loss: 1.433167, acc: 0.109375] 13699: [discriminator loss: 0.585135, acc: 0.671875] [adversarial loss: 0.981799, acc: 0.375000] 13700: [discriminator loss: 0.556375, acc: 0.710938] [adversarial loss: 1.097167, acc: 0.296875] 13701: [discriminator loss: 0.535102, acc: 0.710938] [adversarial loss: 1.204464, acc: 0.203125] 13702: [discriminator loss: 0.468976, acc: 0.796875] [adversarial loss: 1.094946, acc: 0.265625] 13703: [discriminator loss: 0.562844, acc: 0.656250] [adversarial loss: 1.015404, acc: 0.343750] 13704: [discriminator loss: 0.566643, acc: 0.656250] [adversarial loss: 1.115872, acc: 0.296875] 13705: [discriminator loss: 0.547267, acc: 0.726562] [adversarial loss: 1.169626, acc: 0.234375] 13706: [discriminator loss: 0.555409, acc: 0.703125] [adversarial loss: 1.114901, acc: 0.187500] 13707: [discriminator loss: 0.584147, acc: 0.703125] [adversarial loss: 1.468240, acc: 0.109375] 13708: [discriminator loss: 0.642003, acc: 0.656250] [adversarial loss: 0.874387, acc: 0.437500] 13709: [discriminator loss: 0.573998, acc: 0.734375] [adversarial loss: 1.273796, acc: 0.218750] 13710: [discriminator loss: 0.601621, acc: 0.679688] [adversarial loss: 0.984846, acc: 0.343750] 13711: [discriminator loss: 0.548152, acc: 0.734375] [adversarial loss: 1.555935, acc: 0.109375] 13712: [discriminator loss: 0.625423, acc: 0.648438] [adversarial loss: 0.893937, acc: 0.515625] 13713: [discriminator loss: 0.617759, acc: 0.671875] [adversarial loss: 1.510087, acc: 0.078125] 13714: [discriminator loss: 0.608068, acc: 0.625000] [adversarial loss: 1.197058, acc: 0.265625] 13715: [discriminator loss: 0.547019, acc: 0.695312] [adversarial loss: 1.090811, acc: 0.312500] 13716: [discriminator loss: 0.554160, acc: 0.718750] [adversarial loss: 1.019630, acc: 0.390625] 13717: [discriminator loss: 0.567709, acc: 0.718750] [adversarial loss: 1.343942, acc: 0.140625] 13718: [discriminator loss: 0.521706, acc: 0.742188] [adversarial loss: 1.156952, acc: 0.265625] 13719: [discriminator loss: 0.581057, acc: 0.687500] [adversarial loss: 1.141515, acc: 0.281250] 13720: [discriminator loss: 0.575894, acc: 0.750000] [adversarial loss: 1.249609, acc: 0.140625] 13721: [discriminator loss: 0.495020, acc: 0.757812] [adversarial loss: 1.175996, acc: 0.281250] 13722: [discriminator loss: 0.515684, acc: 0.750000] [adversarial loss: 1.008729, acc: 0.437500] 13723: [discriminator loss: 0.544274, acc: 0.703125] [adversarial loss: 0.870055, acc: 0.406250] 13724: [discriminator loss: 0.462276, acc: 0.796875] [adversarial loss: 1.150269, acc: 0.265625] 13725: [discriminator loss: 0.511873, acc: 0.757812] [adversarial loss: 0.972653, acc: 0.328125] 13726: [discriminator loss: 0.581003, acc: 0.671875] [adversarial loss: 1.674007, acc: 0.046875] 13727: [discriminator loss: 0.638192, acc: 0.679688] [adversarial loss: 0.857172, acc: 0.437500] 13728: [discriminator loss: 0.624156, acc: 0.671875] [adversarial loss: 1.557778, acc: 0.078125] 13729: [discriminator loss: 0.531933, acc: 0.703125] [adversarial loss: 1.003708, acc: 0.343750] 13730: [discriminator loss: 0.502117, acc: 0.796875] [adversarial loss: 1.393531, acc: 0.140625] 13731: [discriminator loss: 0.590826, acc: 0.703125] [adversarial loss: 0.902237, acc: 0.406250] 13732: [discriminator loss: 0.588777, acc: 0.695312] [adversarial loss: 1.390116, acc: 0.109375] 13733: [discriminator loss: 0.571288, acc: 0.687500] [adversarial loss: 0.924989, acc: 0.421875] 13734: [discriminator loss: 0.564774, acc: 0.671875] [adversarial loss: 1.367797, acc: 0.187500] 13735: [discriminator loss: 0.553433, acc: 0.703125] [adversarial loss: 0.866346, acc: 0.453125] 13736: [discriminator loss: 0.644521, acc: 0.664062] [adversarial loss: 1.330895, acc: 0.187500] 13737: [discriminator loss: 0.584425, acc: 0.695312] [adversarial loss: 0.861414, acc: 0.390625] 13738: [discriminator loss: 0.541909, acc: 0.781250] [adversarial loss: 1.323698, acc: 0.171875] 13739: [discriminator loss: 0.551178, acc: 0.726562] [adversarial loss: 0.877694, acc: 0.390625] 13740: [discriminator loss: 0.524438, acc: 0.726562] [adversarial loss: 1.605987, acc: 0.062500] 13741: [discriminator loss: 0.569970, acc: 0.656250] [adversarial loss: 0.930765, acc: 0.390625] 13742: [discriminator loss: 0.505644, acc: 0.781250] [adversarial loss: 1.448821, acc: 0.109375] 13743: [discriminator loss: 0.538754, acc: 0.695312] [adversarial loss: 1.045149, acc: 0.375000] 13744: [discriminator loss: 0.576968, acc: 0.687500] [adversarial loss: 1.404660, acc: 0.109375] 13745: [discriminator loss: 0.609869, acc: 0.679688] [adversarial loss: 0.878807, acc: 0.390625] 13746: [discriminator loss: 0.519301, acc: 0.734375] [adversarial loss: 1.414469, acc: 0.125000] 13747: [discriminator loss: 0.515419, acc: 0.757812] [adversarial loss: 0.784370, acc: 0.500000] 13748: [discriminator loss: 0.542647, acc: 0.757812] [adversarial loss: 1.013039, acc: 0.296875] 13749: [discriminator loss: 0.502148, acc: 0.726562] [adversarial loss: 1.108791, acc: 0.250000] 13750: [discriminator loss: 0.536178, acc: 0.703125] [adversarial loss: 0.846125, acc: 0.453125] 13751: [discriminator loss: 0.529380, acc: 0.703125] [adversarial loss: 1.118570, acc: 0.296875] 13752: [discriminator loss: 0.497047, acc: 0.781250] [adversarial loss: 1.099997, acc: 0.296875] 13753: [discriminator loss: 0.470215, acc: 0.796875] [adversarial loss: 1.031431, acc: 0.343750] 13754: [discriminator loss: 0.590455, acc: 0.695312] [adversarial loss: 1.240784, acc: 0.203125] 13755: [discriminator loss: 0.565678, acc: 0.718750] [adversarial loss: 0.939452, acc: 0.343750] 13756: [discriminator loss: 0.577696, acc: 0.726562] [adversarial loss: 1.434503, acc: 0.187500] 13757: [discriminator loss: 0.530231, acc: 0.726562] [adversarial loss: 0.803492, acc: 0.531250] 13758: [discriminator loss: 0.689280, acc: 0.570312] [adversarial loss: 1.554349, acc: 0.062500] 13759: [discriminator loss: 0.554736, acc: 0.710938] [adversarial loss: 0.770831, acc: 0.468750] 13760: [discriminator loss: 0.601358, acc: 0.687500] [adversarial loss: 1.351345, acc: 0.203125] 13761: [discriminator loss: 0.546212, acc: 0.687500] [adversarial loss: 1.217583, acc: 0.218750] 13762: [discriminator loss: 0.491948, acc: 0.796875] [adversarial loss: 0.890250, acc: 0.359375] 13763: [discriminator loss: 0.537517, acc: 0.703125] [adversarial loss: 1.273070, acc: 0.250000] 13764: [discriminator loss: 0.535433, acc: 0.750000] [adversarial loss: 1.151042, acc: 0.234375] 13765: [discriminator loss: 0.546515, acc: 0.710938] [adversarial loss: 0.968771, acc: 0.359375] 13766: [discriminator loss: 0.538196, acc: 0.757812] [adversarial loss: 1.165472, acc: 0.250000] 13767: [discriminator loss: 0.608333, acc: 0.687500] [adversarial loss: 0.993387, acc: 0.421875] 13768: [discriminator loss: 0.587463, acc: 0.703125] [adversarial loss: 1.378538, acc: 0.046875] 13769: [discriminator loss: 0.521093, acc: 0.757812] [adversarial loss: 1.164439, acc: 0.296875] 13770: [discriminator loss: 0.513968, acc: 0.742188] [adversarial loss: 1.415953, acc: 0.125000] 13771: [discriminator loss: 0.584064, acc: 0.718750] [adversarial loss: 0.763225, acc: 0.578125] 13772: [discriminator loss: 0.589237, acc: 0.695312] [adversarial loss: 1.644100, acc: 0.109375] 13773: [discriminator loss: 0.642575, acc: 0.617188] [adversarial loss: 0.749708, acc: 0.515625] 13774: [discriminator loss: 0.592443, acc: 0.648438] [adversarial loss: 1.536134, acc: 0.156250] 13775: [discriminator loss: 0.670525, acc: 0.593750] [adversarial loss: 0.958817, acc: 0.359375] 13776: [discriminator loss: 0.547469, acc: 0.703125] [adversarial loss: 1.219069, acc: 0.109375] 13777: [discriminator loss: 0.529601, acc: 0.718750] [adversarial loss: 1.013012, acc: 0.328125] 13778: [discriminator loss: 0.514547, acc: 0.765625] [adversarial loss: 1.257978, acc: 0.234375] 13779: [discriminator loss: 0.492921, acc: 0.781250] [adversarial loss: 1.136794, acc: 0.296875] 13780: [discriminator loss: 0.519052, acc: 0.789062] [adversarial loss: 1.133506, acc: 0.218750] 13781: [discriminator loss: 0.550497, acc: 0.703125] [adversarial loss: 1.167657, acc: 0.265625] 13782: [discriminator loss: 0.554249, acc: 0.710938] [adversarial loss: 1.273152, acc: 0.234375] 13783: [discriminator loss: 0.530401, acc: 0.742188] [adversarial loss: 1.187961, acc: 0.265625] 13784: [discriminator loss: 0.558080, acc: 0.695312] [adversarial loss: 1.325229, acc: 0.203125] 13785: [discriminator loss: 0.537174, acc: 0.718750] [adversarial loss: 1.020456, acc: 0.390625] 13786: [discriminator loss: 0.569426, acc: 0.710938] [adversarial loss: 1.619374, acc: 0.140625] 13787: [discriminator loss: 0.577532, acc: 0.656250] [adversarial loss: 1.071570, acc: 0.328125] 13788: [discriminator loss: 0.551153, acc: 0.695312] [adversarial loss: 1.281986, acc: 0.218750] 13789: [discriminator loss: 0.613771, acc: 0.664062] [adversarial loss: 0.990157, acc: 0.265625] 13790: [discriminator loss: 0.614148, acc: 0.695312] [adversarial loss: 1.551221, acc: 0.093750] 13791: [discriminator loss: 0.596055, acc: 0.726562] [adversarial loss: 0.926839, acc: 0.375000] 13792: [discriminator loss: 0.576300, acc: 0.671875] [adversarial loss: 1.235611, acc: 0.203125] 13793: [discriminator loss: 0.601821, acc: 0.656250] [adversarial loss: 0.897503, acc: 0.453125] 13794: [discriminator loss: 0.526818, acc: 0.710938] [adversarial loss: 1.564380, acc: 0.140625] 13795: [discriminator loss: 0.484083, acc: 0.765625] [adversarial loss: 0.897838, acc: 0.421875] 13796: [discriminator loss: 0.542632, acc: 0.750000] [adversarial loss: 1.417643, acc: 0.171875] 13797: [discriminator loss: 0.566729, acc: 0.687500] [adversarial loss: 0.874447, acc: 0.421875] 13798: [discriminator loss: 0.593296, acc: 0.695312] [adversarial loss: 1.452404, acc: 0.109375] 13799: [discriminator loss: 0.562216, acc: 0.710938] [adversarial loss: 1.136344, acc: 0.296875] 13800: [discriminator loss: 0.563405, acc: 0.726562] [adversarial loss: 1.229706, acc: 0.171875] 13801: [discriminator loss: 0.539448, acc: 0.703125] [adversarial loss: 1.126279, acc: 0.281250] 13802: [discriminator loss: 0.574343, acc: 0.703125] [adversarial loss: 1.379517, acc: 0.109375] 13803: [discriminator loss: 0.532228, acc: 0.750000] [adversarial loss: 0.973300, acc: 0.421875] 13804: [discriminator loss: 0.566142, acc: 0.718750] [adversarial loss: 1.304915, acc: 0.156250] 13805: [discriminator loss: 0.551857, acc: 0.656250] [adversarial loss: 0.928072, acc: 0.375000] 13806: [discriminator loss: 0.551200, acc: 0.703125] [adversarial loss: 1.570899, acc: 0.078125] 13807: [discriminator loss: 0.544491, acc: 0.671875] [adversarial loss: 0.984973, acc: 0.375000] 13808: [discriminator loss: 0.569396, acc: 0.703125] [adversarial loss: 1.538451, acc: 0.156250] 13809: [discriminator loss: 0.593211, acc: 0.640625] [adversarial loss: 1.018549, acc: 0.390625] 13810: [discriminator loss: 0.553202, acc: 0.679688] [adversarial loss: 1.524120, acc: 0.140625] 13811: [discriminator loss: 0.561180, acc: 0.671875] [adversarial loss: 0.933968, acc: 0.390625] 13812: [discriminator loss: 0.604852, acc: 0.664062] [adversarial loss: 1.369749, acc: 0.156250] 13813: [discriminator loss: 0.572418, acc: 0.695312] [adversarial loss: 1.159421, acc: 0.281250] 13814: [discriminator loss: 0.514155, acc: 0.773438] [adversarial loss: 1.152190, acc: 0.265625] 13815: [discriminator loss: 0.530905, acc: 0.734375] [adversarial loss: 1.084835, acc: 0.234375] 13816: [discriminator loss: 0.508658, acc: 0.750000] [adversarial loss: 1.014463, acc: 0.296875] 13817: [discriminator loss: 0.554912, acc: 0.710938] [adversarial loss: 1.612367, acc: 0.062500] 13818: [discriminator loss: 0.608358, acc: 0.687500] [adversarial loss: 1.064466, acc: 0.312500] 13819: [discriminator loss: 0.533946, acc: 0.726562] [adversarial loss: 1.302333, acc: 0.218750] 13820: [discriminator loss: 0.562973, acc: 0.718750] [adversarial loss: 0.829541, acc: 0.515625] 13821: [discriminator loss: 0.664997, acc: 0.617188] [adversarial loss: 1.609480, acc: 0.062500] 13822: [discriminator loss: 0.541438, acc: 0.695312] [adversarial loss: 0.929041, acc: 0.390625] 13823: [discriminator loss: 0.596057, acc: 0.679688] [adversarial loss: 1.319905, acc: 0.218750] 13824: [discriminator loss: 0.532624, acc: 0.710938] [adversarial loss: 0.803358, acc: 0.484375] 13825: [discriminator loss: 0.596309, acc: 0.695312] [adversarial loss: 1.272602, acc: 0.203125] 13826: [discriminator loss: 0.499031, acc: 0.757812] [adversarial loss: 1.004274, acc: 0.328125] 13827: [discriminator loss: 0.552993, acc: 0.695312] [adversarial loss: 1.155342, acc: 0.312500] 13828: [discriminator loss: 0.636336, acc: 0.601562] [adversarial loss: 1.006979, acc: 0.296875] 13829: [discriminator loss: 0.618210, acc: 0.687500] [adversarial loss: 1.214812, acc: 0.203125] 13830: [discriminator loss: 0.640126, acc: 0.640625] [adversarial loss: 0.899765, acc: 0.390625] 13831: [discriminator loss: 0.586457, acc: 0.632812] [adversarial loss: 1.350968, acc: 0.125000] 13832: [discriminator loss: 0.586555, acc: 0.640625] [adversarial loss: 0.758678, acc: 0.484375] 13833: [discriminator loss: 0.588783, acc: 0.718750] [adversarial loss: 1.269013, acc: 0.234375] 13834: [discriminator loss: 0.513135, acc: 0.742188] [adversarial loss: 0.998029, acc: 0.437500] 13835: [discriminator loss: 0.510215, acc: 0.781250] [adversarial loss: 1.078864, acc: 0.375000] 13836: [discriminator loss: 0.606191, acc: 0.671875] [adversarial loss: 1.102420, acc: 0.312500] 13837: [discriminator loss: 0.537077, acc: 0.703125] [adversarial loss: 1.115405, acc: 0.265625] 13838: [discriminator loss: 0.534366, acc: 0.742188] [adversarial loss: 1.290535, acc: 0.265625] 13839: [discriminator loss: 0.582457, acc: 0.648438] [adversarial loss: 1.149832, acc: 0.218750] 13840: [discriminator loss: 0.516966, acc: 0.718750] [adversarial loss: 0.993270, acc: 0.281250] 13841: [discriminator loss: 0.500275, acc: 0.710938] [adversarial loss: 1.378214, acc: 0.234375] 13842: [discriminator loss: 0.533229, acc: 0.703125] [adversarial loss: 1.108945, acc: 0.328125] 13843: [discriminator loss: 0.549286, acc: 0.750000] [adversarial loss: 1.084403, acc: 0.234375] 13844: [discriminator loss: 0.584574, acc: 0.710938] [adversarial loss: 1.363944, acc: 0.156250] 13845: [discriminator loss: 0.568173, acc: 0.671875] [adversarial loss: 0.737515, acc: 0.625000] 13846: [discriminator loss: 0.569583, acc: 0.679688] [adversarial loss: 1.829029, acc: 0.093750] 13847: [discriminator loss: 0.673211, acc: 0.570312] [adversarial loss: 0.742320, acc: 0.546875] 13848: [discriminator loss: 0.560882, acc: 0.695312] [adversarial loss: 1.157330, acc: 0.281250] 13849: [discriminator loss: 0.561075, acc: 0.703125] [adversarial loss: 1.053691, acc: 0.343750] 13850: [discriminator loss: 0.523864, acc: 0.750000] [adversarial loss: 1.071943, acc: 0.218750] 13851: [discriminator loss: 0.499506, acc: 0.742188] [adversarial loss: 0.991966, acc: 0.390625] 13852: [discriminator loss: 0.597545, acc: 0.679688] [adversarial loss: 1.217376, acc: 0.234375] 13853: [discriminator loss: 0.544941, acc: 0.703125] [adversarial loss: 1.046357, acc: 0.296875] 13854: [discriminator loss: 0.541435, acc: 0.750000] [adversarial loss: 0.946236, acc: 0.484375] 13855: [discriminator loss: 0.523638, acc: 0.734375] [adversarial loss: 1.493300, acc: 0.140625] 13856: [discriminator loss: 0.522116, acc: 0.742188] [adversarial loss: 1.098125, acc: 0.328125] 13857: [discriminator loss: 0.525528, acc: 0.734375] [adversarial loss: 1.338969, acc: 0.203125] 13858: [discriminator loss: 0.568063, acc: 0.695312] [adversarial loss: 0.944411, acc: 0.328125] 13859: [discriminator loss: 0.586460, acc: 0.671875] [adversarial loss: 1.827226, acc: 0.046875] 13860: [discriminator loss: 0.656219, acc: 0.617188] [adversarial loss: 0.739230, acc: 0.500000] 13861: [discriminator loss: 0.560662, acc: 0.656250] [adversarial loss: 1.438059, acc: 0.109375] 13862: [discriminator loss: 0.602279, acc: 0.648438] [adversarial loss: 0.914391, acc: 0.421875] 13863: [discriminator loss: 0.608869, acc: 0.648438] [adversarial loss: 1.455526, acc: 0.171875] 13864: [discriminator loss: 0.568026, acc: 0.726562] [adversarial loss: 0.757434, acc: 0.500000] 13865: [discriminator loss: 0.578275, acc: 0.648438] [adversarial loss: 1.492119, acc: 0.125000] 13866: [discriminator loss: 0.519989, acc: 0.703125] [adversarial loss: 0.830770, acc: 0.484375] 13867: [discriminator loss: 0.565723, acc: 0.671875] [adversarial loss: 1.322309, acc: 0.156250] 13868: [discriminator loss: 0.579264, acc: 0.671875] [adversarial loss: 1.080692, acc: 0.296875] 13869: [discriminator loss: 0.531877, acc: 0.703125] [adversarial loss: 1.430532, acc: 0.093750] 13870: [discriminator loss: 0.563173, acc: 0.726562] [adversarial loss: 0.891971, acc: 0.406250] 13871: [discriminator loss: 0.531831, acc: 0.742188] [adversarial loss: 1.318352, acc: 0.281250] 13872: [discriminator loss: 0.570046, acc: 0.671875] [adversarial loss: 0.993602, acc: 0.421875] 13873: [discriminator loss: 0.591788, acc: 0.679688] [adversarial loss: 1.340567, acc: 0.125000] 13874: [discriminator loss: 0.631569, acc: 0.625000] [adversarial loss: 1.104881, acc: 0.296875] 13875: [discriminator loss: 0.576576, acc: 0.703125] [adversarial loss: 1.443922, acc: 0.156250] 13876: [discriminator loss: 0.538523, acc: 0.710938] [adversarial loss: 0.773778, acc: 0.593750] 13877: [discriminator loss: 0.601152, acc: 0.671875] [adversarial loss: 1.355875, acc: 0.187500] 13878: [discriminator loss: 0.556861, acc: 0.703125] [adversarial loss: 1.052961, acc: 0.328125] 13879: [discriminator loss: 0.649690, acc: 0.648438] [adversarial loss: 1.116416, acc: 0.187500] 13880: [discriminator loss: 0.548883, acc: 0.703125] [adversarial loss: 0.932419, acc: 0.406250] 13881: [discriminator loss: 0.590754, acc: 0.726562] [adversarial loss: 1.342580, acc: 0.093750] 13882: [discriminator loss: 0.662821, acc: 0.617188] [adversarial loss: 0.726725, acc: 0.625000] 13883: [discriminator loss: 0.614216, acc: 0.687500] [adversarial loss: 1.541724, acc: 0.062500] 13884: [discriminator loss: 0.584737, acc: 0.671875] [adversarial loss: 0.786740, acc: 0.437500] 13885: [discriminator loss: 0.577076, acc: 0.679688] [adversarial loss: 1.089761, acc: 0.250000] 13886: [discriminator loss: 0.598745, acc: 0.656250] [adversarial loss: 1.048769, acc: 0.250000] 13887: [discriminator loss: 0.566336, acc: 0.718750] [adversarial loss: 0.905677, acc: 0.375000] 13888: [discriminator loss: 0.524381, acc: 0.765625] [adversarial loss: 1.328067, acc: 0.156250] 13889: [discriminator loss: 0.563840, acc: 0.742188] [adversarial loss: 1.226023, acc: 0.234375] 13890: [discriminator loss: 0.572356, acc: 0.703125] [adversarial loss: 1.203480, acc: 0.234375] 13891: [discriminator loss: 0.519210, acc: 0.750000] [adversarial loss: 1.010293, acc: 0.281250] 13892: [discriminator loss: 0.524592, acc: 0.710938] [adversarial loss: 1.190291, acc: 0.218750] 13893: [discriminator loss: 0.512313, acc: 0.718750] [adversarial loss: 1.028132, acc: 0.343750] 13894: [discriminator loss: 0.519199, acc: 0.742188] [adversarial loss: 1.222576, acc: 0.234375] 13895: [discriminator loss: 0.538149, acc: 0.648438] [adversarial loss: 1.135496, acc: 0.343750] 13896: [discriminator loss: 0.560685, acc: 0.710938] [adversarial loss: 1.271381, acc: 0.218750] 13897: [discriminator loss: 0.569109, acc: 0.710938] [adversarial loss: 0.784323, acc: 0.421875] 13898: [discriminator loss: 0.541346, acc: 0.742188] [adversarial loss: 1.562895, acc: 0.171875] 13899: [discriminator loss: 0.526645, acc: 0.718750] [adversarial loss: 1.173434, acc: 0.265625] 13900: [discriminator loss: 0.570465, acc: 0.679688] [adversarial loss: 0.926598, acc: 0.421875] 13901: [discriminator loss: 0.596616, acc: 0.695312] [adversarial loss: 1.409474, acc: 0.218750] 13902: [discriminator loss: 0.578596, acc: 0.679688] [adversarial loss: 1.018142, acc: 0.328125] 13903: [discriminator loss: 0.473165, acc: 0.804688] [adversarial loss: 1.378444, acc: 0.156250] 13904: [discriminator loss: 0.576357, acc: 0.664062] [adversarial loss: 1.207413, acc: 0.234375] 13905: [discriminator loss: 0.535373, acc: 0.750000] [adversarial loss: 1.114668, acc: 0.296875] 13906: [discriminator loss: 0.572827, acc: 0.671875] [adversarial loss: 1.092003, acc: 0.296875] 13907: [discriminator loss: 0.484231, acc: 0.765625] [adversarial loss: 1.118109, acc: 0.265625] 13908: [discriminator loss: 0.511626, acc: 0.750000] [adversarial loss: 1.105012, acc: 0.265625] 13909: [discriminator loss: 0.591029, acc: 0.687500] [adversarial loss: 1.031984, acc: 0.312500] 13910: [discriminator loss: 0.531636, acc: 0.742188] [adversarial loss: 1.177205, acc: 0.296875] 13911: [discriminator loss: 0.573666, acc: 0.679688] [adversarial loss: 0.823262, acc: 0.468750] 13912: [discriminator loss: 0.531710, acc: 0.757812] [adversarial loss: 1.429118, acc: 0.140625] 13913: [discriminator loss: 0.592920, acc: 0.648438] [adversarial loss: 0.837676, acc: 0.421875] 13914: [discriminator loss: 0.562857, acc: 0.742188] [adversarial loss: 1.357563, acc: 0.187500] 13915: [discriminator loss: 0.556818, acc: 0.695312] [adversarial loss: 0.875875, acc: 0.421875] 13916: [discriminator loss: 0.552989, acc: 0.718750] [adversarial loss: 1.666101, acc: 0.062500] 13917: [discriminator loss: 0.643422, acc: 0.617188] [adversarial loss: 0.774162, acc: 0.578125] 13918: [discriminator loss: 0.585297, acc: 0.671875] [adversarial loss: 1.559560, acc: 0.093750] 13919: [discriminator loss: 0.623950, acc: 0.664062] [adversarial loss: 0.994517, acc: 0.390625] 13920: [discriminator loss: 0.516919, acc: 0.734375] [adversarial loss: 1.215633, acc: 0.265625] 13921: [discriminator loss: 0.581155, acc: 0.734375] [adversarial loss: 1.006861, acc: 0.375000] 13922: [discriminator loss: 0.535631, acc: 0.750000] [adversarial loss: 0.931468, acc: 0.468750] 13923: [discriminator loss: 0.553695, acc: 0.726562] [adversarial loss: 1.499253, acc: 0.093750] 13924: [discriminator loss: 0.525957, acc: 0.742188] [adversarial loss: 0.788894, acc: 0.500000] 13925: [discriminator loss: 0.567889, acc: 0.687500] [adversarial loss: 1.315053, acc: 0.250000] 13926: [discriminator loss: 0.627830, acc: 0.585938] [adversarial loss: 0.748683, acc: 0.562500] 13927: [discriminator loss: 0.623806, acc: 0.632812] [adversarial loss: 1.366274, acc: 0.125000] 13928: [discriminator loss: 0.553172, acc: 0.687500] [adversarial loss: 0.971196, acc: 0.312500] 13929: [discriminator loss: 0.506014, acc: 0.773438] [adversarial loss: 1.201996, acc: 0.203125] 13930: [discriminator loss: 0.528610, acc: 0.726562] [adversarial loss: 1.066463, acc: 0.312500] 13931: [discriminator loss: 0.502948, acc: 0.757812] [adversarial loss: 1.272886, acc: 0.218750] 13932: [discriminator loss: 0.488946, acc: 0.750000] [adversarial loss: 0.703047, acc: 0.562500] 13933: [discriminator loss: 0.602322, acc: 0.656250] [adversarial loss: 1.500471, acc: 0.156250] 13934: [discriminator loss: 0.534285, acc: 0.742188] [adversarial loss: 1.020233, acc: 0.343750] 13935: [discriminator loss: 0.545465, acc: 0.710938] [adversarial loss: 1.383514, acc: 0.109375] 13936: [discriminator loss: 0.566186, acc: 0.648438] [adversarial loss: 1.073652, acc: 0.343750] 13937: [discriminator loss: 0.575500, acc: 0.671875] [adversarial loss: 0.992831, acc: 0.390625] 13938: [discriminator loss: 0.608799, acc: 0.695312] [adversarial loss: 1.398401, acc: 0.187500] 13939: [discriminator loss: 0.520429, acc: 0.703125] [adversarial loss: 1.024723, acc: 0.390625] 13940: [discriminator loss: 0.592220, acc: 0.671875] [adversarial loss: 0.951235, acc: 0.281250] 13941: [discriminator loss: 0.608443, acc: 0.710938] [adversarial loss: 1.507761, acc: 0.109375] 13942: [discriminator loss: 0.541065, acc: 0.710938] [adversarial loss: 0.891324, acc: 0.390625] 13943: [discriminator loss: 0.611616, acc: 0.656250] [adversarial loss: 1.454098, acc: 0.109375] 13944: [discriminator loss: 0.573101, acc: 0.742188] [adversarial loss: 0.941448, acc: 0.328125] 13945: [discriminator loss: 0.532350, acc: 0.726562] [adversarial loss: 1.490427, acc: 0.156250] 13946: [discriminator loss: 0.555607, acc: 0.687500] [adversarial loss: 0.894604, acc: 0.437500] 13947: [discriminator loss: 0.541140, acc: 0.757812] [adversarial loss: 1.310624, acc: 0.171875] 13948: [discriminator loss: 0.633388, acc: 0.625000] [adversarial loss: 1.208958, acc: 0.312500] 13949: [discriminator loss: 0.516644, acc: 0.757812] [adversarial loss: 1.528231, acc: 0.109375] 13950: [discriminator loss: 0.562303, acc: 0.664062] [adversarial loss: 1.125331, acc: 0.312500] 13951: [discriminator loss: 0.547755, acc: 0.773438] [adversarial loss: 1.311199, acc: 0.171875] 13952: [discriminator loss: 0.577667, acc: 0.703125] [adversarial loss: 1.164869, acc: 0.218750] 13953: [discriminator loss: 0.523712, acc: 0.726562] [adversarial loss: 1.324386, acc: 0.156250] 13954: [discriminator loss: 0.503249, acc: 0.773438] [adversarial loss: 1.126436, acc: 0.250000] 13955: [discriminator loss: 0.607147, acc: 0.648438] [adversarial loss: 1.445632, acc: 0.156250] 13956: [discriminator loss: 0.597795, acc: 0.687500] [adversarial loss: 0.871913, acc: 0.453125] 13957: [discriminator loss: 0.649919, acc: 0.640625] [adversarial loss: 1.477835, acc: 0.156250] 13958: [discriminator loss: 0.583429, acc: 0.703125] [adversarial loss: 0.774555, acc: 0.578125] 13959: [discriminator loss: 0.551127, acc: 0.734375] [adversarial loss: 1.268899, acc: 0.328125] 13960: [discriminator loss: 0.554563, acc: 0.750000] [adversarial loss: 1.043473, acc: 0.343750] 13961: [discriminator loss: 0.521726, acc: 0.765625] [adversarial loss: 1.063976, acc: 0.312500] 13962: [discriminator loss: 0.508872, acc: 0.750000] [adversarial loss: 1.440325, acc: 0.109375] 13963: [discriminator loss: 0.585490, acc: 0.679688] [adversarial loss: 1.059576, acc: 0.343750] 13964: [discriminator loss: 0.493548, acc: 0.773438] [adversarial loss: 0.931694, acc: 0.375000] 13965: [discriminator loss: 0.583026, acc: 0.695312] [adversarial loss: 1.584158, acc: 0.093750] 13966: [discriminator loss: 0.730892, acc: 0.585938] [adversarial loss: 0.806661, acc: 0.546875] 13967: [discriminator loss: 0.540165, acc: 0.742188] [adversarial loss: 1.525936, acc: 0.093750] 13968: [discriminator loss: 0.549260, acc: 0.710938] [adversarial loss: 1.138679, acc: 0.328125] 13969: [discriminator loss: 0.644297, acc: 0.648438] [adversarial loss: 1.212080, acc: 0.234375] 13970: [discriminator loss: 0.551570, acc: 0.671875] [adversarial loss: 1.066942, acc: 0.296875] 13971: [discriminator loss: 0.551421, acc: 0.687500] [adversarial loss: 1.413521, acc: 0.156250] 13972: [discriminator loss: 0.552290, acc: 0.710938] [adversarial loss: 0.875307, acc: 0.421875] 13973: [discriminator loss: 0.525711, acc: 0.734375] [adversarial loss: 1.467349, acc: 0.140625] 13974: [discriminator loss: 0.549273, acc: 0.710938] [adversarial loss: 1.059878, acc: 0.343750] 13975: [discriminator loss: 0.545071, acc: 0.742188] [adversarial loss: 1.266658, acc: 0.281250] 13976: [discriminator loss: 0.642875, acc: 0.656250] [adversarial loss: 0.934959, acc: 0.468750] 13977: [discriminator loss: 0.543539, acc: 0.718750] [adversarial loss: 1.192854, acc: 0.140625] 13978: [discriminator loss: 0.545341, acc: 0.703125] [adversarial loss: 0.892629, acc: 0.390625] 13979: [discriminator loss: 0.574115, acc: 0.687500] [adversarial loss: 1.600864, acc: 0.093750] 13980: [discriminator loss: 0.520491, acc: 0.726562] [adversarial loss: 1.048121, acc: 0.328125] 13981: [discriminator loss: 0.604197, acc: 0.671875] [adversarial loss: 1.158770, acc: 0.265625] 13982: [discriminator loss: 0.566989, acc: 0.664062] [adversarial loss: 1.225684, acc: 0.250000] 13983: [discriminator loss: 0.522895, acc: 0.742188] [adversarial loss: 1.133997, acc: 0.203125] 13984: [discriminator loss: 0.522816, acc: 0.726562] [adversarial loss: 1.391117, acc: 0.062500] 13985: [discriminator loss: 0.498086, acc: 0.757812] [adversarial loss: 0.937728, acc: 0.375000] 13986: [discriminator loss: 0.560815, acc: 0.679688] [adversarial loss: 1.203720, acc: 0.265625] 13987: [discriminator loss: 0.534023, acc: 0.726562] [adversarial loss: 0.952794, acc: 0.390625] 13988: [discriminator loss: 0.552205, acc: 0.734375] [adversarial loss: 1.051769, acc: 0.328125] 13989: [discriminator loss: 0.529056, acc: 0.710938] [adversarial loss: 0.856815, acc: 0.468750] 13990: [discriminator loss: 0.527447, acc: 0.750000] [adversarial loss: 1.415540, acc: 0.140625] 13991: [discriminator loss: 0.601421, acc: 0.632812] [adversarial loss: 0.835450, acc: 0.484375] 13992: [discriminator loss: 0.620093, acc: 0.734375] [adversarial loss: 1.499624, acc: 0.109375] 13993: [discriminator loss: 0.611284, acc: 0.671875] [adversarial loss: 0.858558, acc: 0.375000] 13994: [discriminator loss: 0.586617, acc: 0.679688] [adversarial loss: 1.610259, acc: 0.109375] 13995: [discriminator loss: 0.539181, acc: 0.726562] [adversarial loss: 0.933962, acc: 0.406250] 13996: [discriminator loss: 0.518407, acc: 0.750000] [adversarial loss: 1.204539, acc: 0.218750] 13997: [discriminator loss: 0.507735, acc: 0.773438] [adversarial loss: 1.532498, acc: 0.078125] 13998: [discriminator loss: 0.550970, acc: 0.703125] [adversarial loss: 1.264245, acc: 0.281250] 13999: [discriminator loss: 0.594458, acc: 0.687500] [adversarial loss: 1.140301, acc: 0.234375] 14000: [discriminator loss: 0.544120, acc: 0.773438] [adversarial loss: 1.137427, acc: 0.156250] 14001: [discriminator loss: 0.538349, acc: 0.757812] [adversarial loss: 1.047699, acc: 0.421875] 14002: [discriminator loss: 0.636428, acc: 0.671875] [adversarial loss: 1.188465, acc: 0.296875] 14003: [discriminator loss: 0.579246, acc: 0.656250] [adversarial loss: 1.161137, acc: 0.265625] 14004: [discriminator loss: 0.513214, acc: 0.695312] [adversarial loss: 1.323617, acc: 0.187500] 14005: [discriminator loss: 0.541492, acc: 0.695312] [adversarial loss: 1.388581, acc: 0.140625] 14006: [discriminator loss: 0.545397, acc: 0.687500] [adversarial loss: 1.081645, acc: 0.328125] 14007: [discriminator loss: 0.514198, acc: 0.773438] [adversarial loss: 1.244462, acc: 0.250000] 14008: [discriminator loss: 0.511802, acc: 0.742188] [adversarial loss: 0.952263, acc: 0.421875] 14009: [discriminator loss: 0.571178, acc: 0.703125] [adversarial loss: 1.510036, acc: 0.125000] 14010: [discriminator loss: 0.534135, acc: 0.718750] [adversarial loss: 1.053660, acc: 0.281250] 14011: [discriminator loss: 0.477553, acc: 0.765625] [adversarial loss: 1.236924, acc: 0.187500] 14012: [discriminator loss: 0.551605, acc: 0.710938] [adversarial loss: 1.009904, acc: 0.390625] 14013: [discriminator loss: 0.545299, acc: 0.695312] [adversarial loss: 1.831384, acc: 0.093750] 14014: [discriminator loss: 0.708147, acc: 0.585938] [adversarial loss: 0.797070, acc: 0.515625] 14015: [discriminator loss: 0.581890, acc: 0.695312] [adversarial loss: 1.612204, acc: 0.109375] 14016: [discriminator loss: 0.598524, acc: 0.710938] [adversarial loss: 0.860584, acc: 0.328125] 14017: [discriminator loss: 0.592744, acc: 0.671875] [adversarial loss: 1.277272, acc: 0.140625] 14018: [discriminator loss: 0.579308, acc: 0.687500] [adversarial loss: 0.860044, acc: 0.406250] 14019: [discriminator loss: 0.540589, acc: 0.695312] [adversarial loss: 1.511197, acc: 0.046875] 14020: [discriminator loss: 0.581136, acc: 0.679688] [adversarial loss: 1.018220, acc: 0.343750] 14021: [discriminator loss: 0.579454, acc: 0.679688] [adversarial loss: 1.356428, acc: 0.187500] 14022: [discriminator loss: 0.595689, acc: 0.671875] [adversarial loss: 0.970084, acc: 0.421875] 14023: [discriminator loss: 0.562391, acc: 0.734375] [adversarial loss: 1.160131, acc: 0.187500] 14024: [discriminator loss: 0.497948, acc: 0.750000] [adversarial loss: 1.342042, acc: 0.218750] 14025: [discriminator loss: 0.584085, acc: 0.671875] [adversarial loss: 1.167829, acc: 0.343750] 14026: [discriminator loss: 0.539217, acc: 0.742188] [adversarial loss: 1.026377, acc: 0.343750] 14027: [discriminator loss: 0.570584, acc: 0.742188] [adversarial loss: 1.010894, acc: 0.296875] 14028: [discriminator loss: 0.494267, acc: 0.750000] [adversarial loss: 1.132802, acc: 0.218750] 14029: [discriminator loss: 0.513406, acc: 0.718750] [adversarial loss: 0.861011, acc: 0.468750] 14030: [discriminator loss: 0.556968, acc: 0.718750] [adversarial loss: 1.418535, acc: 0.093750] 14031: [discriminator loss: 0.645708, acc: 0.625000] [adversarial loss: 0.859787, acc: 0.437500] 14032: [discriminator loss: 0.569825, acc: 0.687500] [adversarial loss: 1.228543, acc: 0.203125] 14033: [discriminator loss: 0.565343, acc: 0.679688] [adversarial loss: 0.794198, acc: 0.484375] 14034: [discriminator loss: 0.554396, acc: 0.718750] [adversarial loss: 1.328848, acc: 0.125000] 14035: [discriminator loss: 0.519767, acc: 0.750000] [adversarial loss: 1.106171, acc: 0.312500] 14036: [discriminator loss: 0.511143, acc: 0.773438] [adversarial loss: 1.077333, acc: 0.328125] 14037: [discriminator loss: 0.480289, acc: 0.773438] [adversarial loss: 1.163381, acc: 0.281250] 14038: [discriminator loss: 0.533850, acc: 0.703125] [adversarial loss: 1.408999, acc: 0.156250] 14039: [discriminator loss: 0.469637, acc: 0.804688] [adversarial loss: 0.721064, acc: 0.640625] 14040: [discriminator loss: 0.554983, acc: 0.734375] [adversarial loss: 1.382929, acc: 0.125000] 14041: [discriminator loss: 0.500277, acc: 0.781250] [adversarial loss: 1.208777, acc: 0.203125] 14042: [discriminator loss: 0.535929, acc: 0.710938] [adversarial loss: 1.330876, acc: 0.203125] 14043: [discriminator loss: 0.504994, acc: 0.742188] [adversarial loss: 1.011794, acc: 0.375000] 14044: [discriminator loss: 0.502343, acc: 0.765625] [adversarial loss: 1.019463, acc: 0.390625] 14045: [discriminator loss: 0.543925, acc: 0.742188] [adversarial loss: 1.024443, acc: 0.375000] 14046: [discriminator loss: 0.513623, acc: 0.710938] [adversarial loss: 1.355827, acc: 0.250000] 14047: [discriminator loss: 0.579379, acc: 0.671875] [adversarial loss: 1.098121, acc: 0.312500] 14048: [discriminator loss: 0.536739, acc: 0.742188] [adversarial loss: 1.555074, acc: 0.156250] 14049: [discriminator loss: 0.599229, acc: 0.687500] [adversarial loss: 0.875061, acc: 0.390625] 14050: [discriminator loss: 0.631237, acc: 0.648438] [adversarial loss: 1.528177, acc: 0.078125] 14051: [discriminator loss: 0.581139, acc: 0.695312] [adversarial loss: 0.883938, acc: 0.406250] 14052: [discriminator loss: 0.548827, acc: 0.671875] [adversarial loss: 1.666353, acc: 0.062500] 14053: [discriminator loss: 0.538318, acc: 0.718750] [adversarial loss: 0.896160, acc: 0.515625] 14054: [discriminator loss: 0.595817, acc: 0.632812] [adversarial loss: 1.220881, acc: 0.171875] 14055: [discriminator loss: 0.471061, acc: 0.820312] [adversarial loss: 1.254511, acc: 0.265625] 14056: [discriminator loss: 0.515364, acc: 0.757812] [adversarial loss: 1.294834, acc: 0.218750] 14057: [discriminator loss: 0.610437, acc: 0.625000] [adversarial loss: 1.169740, acc: 0.203125] 14058: [discriminator loss: 0.497513, acc: 0.757812] [adversarial loss: 1.422903, acc: 0.140625] 14059: [discriminator loss: 0.563930, acc: 0.671875] [adversarial loss: 0.818351, acc: 0.484375] 14060: [discriminator loss: 0.579142, acc: 0.718750] [adversarial loss: 1.446730, acc: 0.093750] 14061: [discriminator loss: 0.533597, acc: 0.679688] [adversarial loss: 0.846850, acc: 0.453125] 14062: [discriminator loss: 0.616053, acc: 0.671875] [adversarial loss: 1.497265, acc: 0.125000] 14063: [discriminator loss: 0.568994, acc: 0.726562] [adversarial loss: 1.238049, acc: 0.281250] 14064: [discriminator loss: 0.584583, acc: 0.695312] [adversarial loss: 0.894923, acc: 0.515625] 14065: [discriminator loss: 0.640665, acc: 0.671875] [adversarial loss: 1.381496, acc: 0.140625] 14066: [discriminator loss: 0.489963, acc: 0.765625] [adversarial loss: 1.045000, acc: 0.312500] 14067: [discriminator loss: 0.500720, acc: 0.750000] [adversarial loss: 1.335802, acc: 0.156250] 14068: [discriminator loss: 0.525638, acc: 0.742188] [adversarial loss: 1.038521, acc: 0.250000] 14069: [discriminator loss: 0.593997, acc: 0.703125] [adversarial loss: 1.115736, acc: 0.234375] 14070: [discriminator loss: 0.516365, acc: 0.726562] [adversarial loss: 1.020229, acc: 0.359375] 14071: [discriminator loss: 0.607398, acc: 0.671875] [adversarial loss: 1.434361, acc: 0.125000] 14072: [discriminator loss: 0.557477, acc: 0.687500] [adversarial loss: 0.877669, acc: 0.453125] 14073: [discriminator loss: 0.596442, acc: 0.703125] [adversarial loss: 1.220599, acc: 0.265625] 14074: [discriminator loss: 0.580356, acc: 0.718750] [adversarial loss: 1.041565, acc: 0.281250] 14075: [discriminator loss: 0.545656, acc: 0.726562] [adversarial loss: 1.387115, acc: 0.203125] 14076: [discriminator loss: 0.554504, acc: 0.742188] [adversarial loss: 0.696620, acc: 0.531250] 14077: [discriminator loss: 0.534948, acc: 0.734375] [adversarial loss: 1.454256, acc: 0.109375] 14078: [discriminator loss: 0.544508, acc: 0.695312] [adversarial loss: 0.899865, acc: 0.437500] 14079: [discriminator loss: 0.546901, acc: 0.750000] [adversarial loss: 1.556386, acc: 0.218750] 14080: [discriminator loss: 0.580438, acc: 0.687500] [adversarial loss: 1.147582, acc: 0.281250] 14081: [discriminator loss: 0.553106, acc: 0.734375] [adversarial loss: 1.293785, acc: 0.156250] 14082: [discriminator loss: 0.544570, acc: 0.750000] [adversarial loss: 1.412041, acc: 0.125000] 14083: [discriminator loss: 0.515772, acc: 0.742188] [adversarial loss: 1.063541, acc: 0.359375] 14084: [discriminator loss: 0.539966, acc: 0.718750] [adversarial loss: 1.246509, acc: 0.250000] 14085: [discriminator loss: 0.554415, acc: 0.679688] [adversarial loss: 0.942187, acc: 0.390625] 14086: [discriminator loss: 0.531998, acc: 0.750000] [adversarial loss: 1.487068, acc: 0.125000] 14087: [discriminator loss: 0.592061, acc: 0.671875] [adversarial loss: 1.060704, acc: 0.296875] 14088: [discriminator loss: 0.521327, acc: 0.726562] [adversarial loss: 1.625054, acc: 0.140625] 14089: [discriminator loss: 0.570865, acc: 0.664062] [adversarial loss: 0.948428, acc: 0.390625] 14090: [discriminator loss: 0.571795, acc: 0.726562] [adversarial loss: 1.254392, acc: 0.296875] 14091: [discriminator loss: 0.565205, acc: 0.679688] [adversarial loss: 0.954961, acc: 0.421875] 14092: [discriminator loss: 0.551766, acc: 0.695312] [adversarial loss: 1.563328, acc: 0.093750] 14093: [discriminator loss: 0.546396, acc: 0.773438] [adversarial loss: 0.868300, acc: 0.390625] 14094: [discriminator loss: 0.595892, acc: 0.695312] [adversarial loss: 1.327013, acc: 0.218750] 14095: [discriminator loss: 0.542848, acc: 0.695312] [adversarial loss: 0.929692, acc: 0.375000] 14096: [discriminator loss: 0.568199, acc: 0.718750] [adversarial loss: 1.434354, acc: 0.171875] 14097: [discriminator loss: 0.561874, acc: 0.734375] [adversarial loss: 1.161589, acc: 0.218750] 14098: [discriminator loss: 0.541434, acc: 0.726562] [adversarial loss: 1.068887, acc: 0.265625] 14099: [discriminator loss: 0.487915, acc: 0.796875] [adversarial loss: 1.444788, acc: 0.171875] 14100: [discriminator loss: 0.626339, acc: 0.664062] [adversarial loss: 1.089167, acc: 0.359375] 14101: [discriminator loss: 0.578514, acc: 0.710938] [adversarial loss: 1.395282, acc: 0.171875] 14102: [discriminator loss: 0.581083, acc: 0.679688] [adversarial loss: 1.030970, acc: 0.343750] 14103: [discriminator loss: 0.581675, acc: 0.664062] [adversarial loss: 1.408743, acc: 0.203125] 14104: [discriminator loss: 0.541585, acc: 0.734375] [adversarial loss: 1.012516, acc: 0.328125] 14105: [discriminator loss: 0.501744, acc: 0.734375] [adversarial loss: 1.336458, acc: 0.171875] 14106: [discriminator loss: 0.580278, acc: 0.703125] [adversarial loss: 1.082901, acc: 0.296875] 14107: [discriminator loss: 0.528299, acc: 0.757812] [adversarial loss: 1.156812, acc: 0.265625] 14108: [discriminator loss: 0.545746, acc: 0.679688] [adversarial loss: 0.966287, acc: 0.390625] 14109: [discriminator loss: 0.592432, acc: 0.718750] [adversarial loss: 1.794885, acc: 0.046875] 14110: [discriminator loss: 0.596259, acc: 0.710938] [adversarial loss: 0.683246, acc: 0.593750] 14111: [discriminator loss: 0.733868, acc: 0.546875] [adversarial loss: 1.811806, acc: 0.046875] 14112: [discriminator loss: 0.660282, acc: 0.656250] [adversarial loss: 0.908650, acc: 0.437500] 14113: [discriminator loss: 0.611570, acc: 0.695312] [adversarial loss: 1.196815, acc: 0.250000] 14114: [discriminator loss: 0.629499, acc: 0.671875] [adversarial loss: 1.262886, acc: 0.203125] 14115: [discriminator loss: 0.493061, acc: 0.757812] [adversarial loss: 1.109345, acc: 0.312500] 14116: [discriminator loss: 0.576960, acc: 0.703125] [adversarial loss: 1.171276, acc: 0.250000] 14117: [discriminator loss: 0.549865, acc: 0.726562] [adversarial loss: 1.215075, acc: 0.218750] 14118: [discriminator loss: 0.464106, acc: 0.773438] [adversarial loss: 1.151211, acc: 0.250000] 14119: [discriminator loss: 0.510945, acc: 0.765625] [adversarial loss: 0.942944, acc: 0.484375] 14120: [discriminator loss: 0.580165, acc: 0.710938] [adversarial loss: 1.546571, acc: 0.156250] 14121: [discriminator loss: 0.565257, acc: 0.671875] [adversarial loss: 1.122045, acc: 0.312500] 14122: [discriminator loss: 0.543890, acc: 0.742188] [adversarial loss: 1.095595, acc: 0.343750] 14123: [discriminator loss: 0.530470, acc: 0.765625] [adversarial loss: 0.944124, acc: 0.390625] 14124: [discriminator loss: 0.610062, acc: 0.640625] [adversarial loss: 1.449262, acc: 0.140625] 14125: [discriminator loss: 0.577958, acc: 0.679688] [adversarial loss: 0.860599, acc: 0.515625] 14126: [discriminator loss: 0.567894, acc: 0.703125] [adversarial loss: 1.633119, acc: 0.093750] 14127: [discriminator loss: 0.523093, acc: 0.726562] [adversarial loss: 1.062967, acc: 0.312500] 14128: [discriminator loss: 0.573633, acc: 0.679688] [adversarial loss: 1.140125, acc: 0.250000] 14129: [discriminator loss: 0.494239, acc: 0.726562] [adversarial loss: 1.067849, acc: 0.312500] 14130: [discriminator loss: 0.517399, acc: 0.703125] [adversarial loss: 1.207470, acc: 0.281250] 14131: [discriminator loss: 0.555162, acc: 0.703125] [adversarial loss: 0.998391, acc: 0.359375] 14132: [discriminator loss: 0.593084, acc: 0.687500] [adversarial loss: 1.361357, acc: 0.187500] 14133: [discriminator loss: 0.552260, acc: 0.695312] [adversarial loss: 0.938017, acc: 0.375000] 14134: [discriminator loss: 0.556596, acc: 0.742188] [adversarial loss: 1.370024, acc: 0.218750] 14135: [discriminator loss: 0.607613, acc: 0.625000] [adversarial loss: 0.976885, acc: 0.375000] 14136: [discriminator loss: 0.577713, acc: 0.695312] [adversarial loss: 1.221764, acc: 0.312500] 14137: [discriminator loss: 0.528548, acc: 0.750000] [adversarial loss: 1.054392, acc: 0.375000] 14138: [discriminator loss: 0.577354, acc: 0.671875] [adversarial loss: 1.422921, acc: 0.156250] 14139: [discriminator loss: 0.609509, acc: 0.648438] [adversarial loss: 0.981740, acc: 0.375000] 14140: [discriminator loss: 0.475279, acc: 0.820312] [adversarial loss: 1.246505, acc: 0.125000] 14141: [discriminator loss: 0.604337, acc: 0.664062] [adversarial loss: 0.846864, acc: 0.437500] 14142: [discriminator loss: 0.570268, acc: 0.656250] [adversarial loss: 1.407981, acc: 0.203125] 14143: [discriminator loss: 0.596721, acc: 0.695312] [adversarial loss: 1.007648, acc: 0.375000] 14144: [discriminator loss: 0.479968, acc: 0.750000] [adversarial loss: 1.618732, acc: 0.078125] 14145: [discriminator loss: 0.585068, acc: 0.718750] [adversarial loss: 0.932657, acc: 0.406250] 14146: [discriminator loss: 0.558157, acc: 0.718750] [adversarial loss: 1.641184, acc: 0.093750] 14147: [discriminator loss: 0.589581, acc: 0.648438] [adversarial loss: 0.792302, acc: 0.515625] 14148: [discriminator loss: 0.596704, acc: 0.656250] [adversarial loss: 1.439977, acc: 0.109375] 14149: [discriminator loss: 0.585517, acc: 0.695312] [adversarial loss: 1.056482, acc: 0.234375] 14150: [discriminator loss: 0.564879, acc: 0.734375] [adversarial loss: 1.285820, acc: 0.171875] 14151: [discriminator loss: 0.528992, acc: 0.750000] [adversarial loss: 1.044601, acc: 0.265625] 14152: [discriminator loss: 0.536774, acc: 0.710938] [adversarial loss: 1.178681, acc: 0.281250] 14153: [discriminator loss: 0.472506, acc: 0.734375] [adversarial loss: 0.933701, acc: 0.375000] 14154: [discriminator loss: 0.538740, acc: 0.718750] [adversarial loss: 1.276356, acc: 0.171875] 14155: [discriminator loss: 0.563877, acc: 0.664062] [adversarial loss: 0.989185, acc: 0.375000] 14156: [discriminator loss: 0.604057, acc: 0.656250] [adversarial loss: 1.449627, acc: 0.156250] 14157: [discriminator loss: 0.563508, acc: 0.726562] [adversarial loss: 1.040052, acc: 0.312500] 14158: [discriminator loss: 0.607026, acc: 0.656250] [adversarial loss: 1.391350, acc: 0.140625] 14159: [discriminator loss: 0.542423, acc: 0.718750] [adversarial loss: 1.336064, acc: 0.203125] 14160: [discriminator loss: 0.540790, acc: 0.742188] [adversarial loss: 1.280959, acc: 0.218750] 14161: [discriminator loss: 0.595625, acc: 0.656250] [adversarial loss: 1.237590, acc: 0.265625] 14162: [discriminator loss: 0.572410, acc: 0.679688] [adversarial loss: 0.998209, acc: 0.343750] 14163: [discriminator loss: 0.529613, acc: 0.765625] [adversarial loss: 1.155145, acc: 0.265625] 14164: [discriminator loss: 0.602506, acc: 0.734375] [adversarial loss: 1.144980, acc: 0.265625] 14165: [discriminator loss: 0.511211, acc: 0.757812] [adversarial loss: 0.947660, acc: 0.437500] 14166: [discriminator loss: 0.568697, acc: 0.710938] [adversarial loss: 1.387813, acc: 0.171875] 14167: [discriminator loss: 0.565361, acc: 0.687500] [adversarial loss: 0.805764, acc: 0.562500] 14168: [discriminator loss: 0.550076, acc: 0.703125] [adversarial loss: 1.511130, acc: 0.062500] 14169: [discriminator loss: 0.500083, acc: 0.750000] [adversarial loss: 0.907008, acc: 0.359375] 14170: [discriminator loss: 0.561784, acc: 0.703125] [adversarial loss: 1.515755, acc: 0.125000] 14171: [discriminator loss: 0.591785, acc: 0.664062] [adversarial loss: 0.999554, acc: 0.375000] 14172: [discriminator loss: 0.608463, acc: 0.687500] [adversarial loss: 1.301731, acc: 0.203125] 14173: [discriminator loss: 0.580382, acc: 0.734375] [adversarial loss: 1.016476, acc: 0.406250] 14174: [discriminator loss: 0.536749, acc: 0.726562] [adversarial loss: 1.206578, acc: 0.265625] 14175: [discriminator loss: 0.513239, acc: 0.789062] [adversarial loss: 1.245162, acc: 0.218750] 14176: [discriminator loss: 0.545763, acc: 0.687500] [adversarial loss: 1.119999, acc: 0.328125] 14177: [discriminator loss: 0.534194, acc: 0.718750] [adversarial loss: 1.313060, acc: 0.187500] 14178: [discriminator loss: 0.646941, acc: 0.648438] [adversarial loss: 0.980844, acc: 0.343750] 14179: [discriminator loss: 0.549410, acc: 0.703125] [adversarial loss: 1.160727, acc: 0.265625] 14180: [discriminator loss: 0.487788, acc: 0.765625] [adversarial loss: 1.340535, acc: 0.171875] 14181: [discriminator loss: 0.563404, acc: 0.687500] [adversarial loss: 0.905499, acc: 0.390625] 14182: [discriminator loss: 0.563827, acc: 0.765625] [adversarial loss: 1.419714, acc: 0.156250] 14183: [discriminator loss: 0.537080, acc: 0.679688] [adversarial loss: 0.836492, acc: 0.468750] 14184: [discriminator loss: 0.536819, acc: 0.703125] [adversarial loss: 1.425797, acc: 0.093750] 14185: [discriminator loss: 0.595700, acc: 0.648438] [adversarial loss: 0.946146, acc: 0.265625] 14186: [discriminator loss: 0.616258, acc: 0.679688] [adversarial loss: 1.708494, acc: 0.062500] 14187: [discriminator loss: 0.624509, acc: 0.617188] [adversarial loss: 0.895230, acc: 0.359375] 14188: [discriminator loss: 0.558052, acc: 0.757812] [adversarial loss: 1.221369, acc: 0.203125] 14189: [discriminator loss: 0.521275, acc: 0.734375] [adversarial loss: 1.091239, acc: 0.312500] 14190: [discriminator loss: 0.514286, acc: 0.750000] [adversarial loss: 1.402334, acc: 0.125000] 14191: [discriminator loss: 0.484501, acc: 0.765625] [adversarial loss: 1.193544, acc: 0.250000] 14192: [discriminator loss: 0.654971, acc: 0.632812] [adversarial loss: 1.222530, acc: 0.281250] 14193: [discriminator loss: 0.571941, acc: 0.718750] [adversarial loss: 1.386135, acc: 0.109375] 14194: [discriminator loss: 0.561291, acc: 0.703125] [adversarial loss: 1.004589, acc: 0.359375] 14195: [discriminator loss: 0.559440, acc: 0.726562] [adversarial loss: 1.072770, acc: 0.265625] 14196: [discriminator loss: 0.624035, acc: 0.632812] [adversarial loss: 1.072268, acc: 0.265625] 14197: [discriminator loss: 0.596305, acc: 0.687500] [adversarial loss: 0.940790, acc: 0.437500] 14198: [discriminator loss: 0.619398, acc: 0.679688] [adversarial loss: 1.438077, acc: 0.156250] 14199: [discriminator loss: 0.585520, acc: 0.648438] [adversarial loss: 1.007937, acc: 0.296875] 14200: [discriminator loss: 0.528898, acc: 0.710938] [adversarial loss: 1.609610, acc: 0.078125] 14201: [discriminator loss: 0.592646, acc: 0.671875] [adversarial loss: 0.692454, acc: 0.671875] 14202: [discriminator loss: 0.578417, acc: 0.703125] [adversarial loss: 1.345459, acc: 0.171875] 14203: [discriminator loss: 0.551619, acc: 0.718750] [adversarial loss: 1.026938, acc: 0.328125] 14204: [discriminator loss: 0.480857, acc: 0.812500] [adversarial loss: 1.172083, acc: 0.250000] 14205: [discriminator loss: 0.614339, acc: 0.632812] [adversarial loss: 1.173113, acc: 0.234375] 14206: [discriminator loss: 0.538360, acc: 0.742188] [adversarial loss: 0.994217, acc: 0.359375] 14207: [discriminator loss: 0.606606, acc: 0.664062] [adversarial loss: 1.047155, acc: 0.296875] 14208: [discriminator loss: 0.531074, acc: 0.742188] [adversarial loss: 1.103221, acc: 0.343750] 14209: [discriminator loss: 0.517276, acc: 0.734375] [adversarial loss: 1.367112, acc: 0.171875] 14210: [discriminator loss: 0.540694, acc: 0.734375] [adversarial loss: 0.886109, acc: 0.421875] 14211: [discriminator loss: 0.544632, acc: 0.718750] [adversarial loss: 1.389452, acc: 0.171875] 14212: [discriminator loss: 0.545582, acc: 0.687500] [adversarial loss: 0.687584, acc: 0.562500] 14213: [discriminator loss: 0.675390, acc: 0.617188] [adversarial loss: 1.525781, acc: 0.125000] 14214: [discriminator loss: 0.610380, acc: 0.640625] [adversarial loss: 0.839339, acc: 0.484375] 14215: [discriminator loss: 0.561126, acc: 0.671875] [adversarial loss: 1.109606, acc: 0.281250] 14216: [discriminator loss: 0.528736, acc: 0.750000] [adversarial loss: 1.298420, acc: 0.187500] 14217: [discriminator loss: 0.578341, acc: 0.648438] [adversarial loss: 1.176541, acc: 0.171875] 14218: [discriminator loss: 0.453251, acc: 0.796875] [adversarial loss: 1.079592, acc: 0.281250] 14219: [discriminator loss: 0.527872, acc: 0.750000] [adversarial loss: 1.277791, acc: 0.218750] 14220: [discriminator loss: 0.570530, acc: 0.703125] [adversarial loss: 1.147263, acc: 0.296875] 14221: [discriminator loss: 0.462867, acc: 0.789062] [adversarial loss: 1.083896, acc: 0.312500] 14222: [discriminator loss: 0.504431, acc: 0.742188] [adversarial loss: 1.023343, acc: 0.375000] 14223: [discriminator loss: 0.524244, acc: 0.703125] [adversarial loss: 1.131965, acc: 0.312500] 14224: [discriminator loss: 0.586266, acc: 0.648438] [adversarial loss: 1.106128, acc: 0.312500] 14225: [discriminator loss: 0.459375, acc: 0.796875] [adversarial loss: 1.154655, acc: 0.218750] 14226: [discriminator loss: 0.542566, acc: 0.695312] [adversarial loss: 1.252224, acc: 0.218750] 14227: [discriminator loss: 0.617498, acc: 0.648438] [adversarial loss: 0.771203, acc: 0.546875] 14228: [discriminator loss: 0.620412, acc: 0.679688] [adversarial loss: 1.526071, acc: 0.125000] 14229: [discriminator loss: 0.557315, acc: 0.703125] [adversarial loss: 0.767294, acc: 0.515625] 14230: [discriminator loss: 0.653177, acc: 0.617188] [adversarial loss: 1.480982, acc: 0.046875] 14231: [discriminator loss: 0.642608, acc: 0.593750] [adversarial loss: 0.937108, acc: 0.406250] 14232: [discriminator loss: 0.576180, acc: 0.695312] [adversarial loss: 1.402663, acc: 0.218750] 14233: [discriminator loss: 0.557374, acc: 0.679688] [adversarial loss: 1.063664, acc: 0.328125] 14234: [discriminator loss: 0.538796, acc: 0.734375] [adversarial loss: 1.372938, acc: 0.140625] 14235: [discriminator loss: 0.608730, acc: 0.679688] [adversarial loss: 0.839217, acc: 0.390625] 14236: [discriminator loss: 0.593520, acc: 0.625000] [adversarial loss: 1.416025, acc: 0.093750] 14237: [discriminator loss: 0.539290, acc: 0.703125] [adversarial loss: 1.132754, acc: 0.234375] 14238: [discriminator loss: 0.567523, acc: 0.734375] [adversarial loss: 1.214974, acc: 0.234375] 14239: [discriminator loss: 0.519089, acc: 0.726562] [adversarial loss: 1.048718, acc: 0.390625] 14240: [discriminator loss: 0.554686, acc: 0.726562] [adversarial loss: 1.466036, acc: 0.140625] 14241: [discriminator loss: 0.589873, acc: 0.640625] [adversarial loss: 1.174814, acc: 0.234375] 14242: [discriminator loss: 0.609691, acc: 0.640625] [adversarial loss: 1.323399, acc: 0.125000] 14243: [discriminator loss: 0.539370, acc: 0.750000] [adversarial loss: 0.997005, acc: 0.328125] 14244: [discriminator loss: 0.534849, acc: 0.703125] [adversarial loss: 1.308976, acc: 0.140625] 14245: [discriminator loss: 0.484243, acc: 0.757812] [adversarial loss: 1.069870, acc: 0.265625] 14246: [discriminator loss: 0.612054, acc: 0.585938] [adversarial loss: 1.407631, acc: 0.125000] 14247: [discriminator loss: 0.620530, acc: 0.656250] [adversarial loss: 0.860961, acc: 0.406250] 14248: [discriminator loss: 0.602566, acc: 0.703125] [adversarial loss: 1.286037, acc: 0.171875] 14249: [discriminator loss: 0.554806, acc: 0.703125] [adversarial loss: 0.979833, acc: 0.406250] 14250: [discriminator loss: 0.542266, acc: 0.726562] [adversarial loss: 1.301218, acc: 0.171875] 14251: [discriminator loss: 0.520009, acc: 0.757812] [adversarial loss: 0.802601, acc: 0.484375] 14252: [discriminator loss: 0.483006, acc: 0.742188] [adversarial loss: 1.696657, acc: 0.062500] 14253: [discriminator loss: 0.545126, acc: 0.695312] [adversarial loss: 1.000211, acc: 0.421875] 14254: [discriminator loss: 0.557057, acc: 0.703125] [adversarial loss: 1.327399, acc: 0.171875] 14255: [discriminator loss: 0.555975, acc: 0.710938] [adversarial loss: 0.928396, acc: 0.390625] 14256: [discriminator loss: 0.610065, acc: 0.640625] [adversarial loss: 1.506059, acc: 0.171875] 14257: [discriminator loss: 0.501943, acc: 0.757812] [adversarial loss: 0.989174, acc: 0.359375] 14258: [discriminator loss: 0.526219, acc: 0.765625] [adversarial loss: 1.314331, acc: 0.187500] 14259: [discriminator loss: 0.510842, acc: 0.757812] [adversarial loss: 1.041563, acc: 0.296875] 14260: [discriminator loss: 0.528325, acc: 0.765625] [adversarial loss: 1.318931, acc: 0.187500] 14261: [discriminator loss: 0.579696, acc: 0.671875] [adversarial loss: 1.185726, acc: 0.265625] 14262: [discriminator loss: 0.612947, acc: 0.664062] [adversarial loss: 0.952317, acc: 0.375000] 14263: [discriminator loss: 0.527554, acc: 0.710938] [adversarial loss: 1.177252, acc: 0.296875] 14264: [discriminator loss: 0.548924, acc: 0.656250] [adversarial loss: 1.435724, acc: 0.187500] 14265: [discriminator loss: 0.561324, acc: 0.679688] [adversarial loss: 0.853671, acc: 0.453125] 14266: [discriminator loss: 0.495932, acc: 0.757812] [adversarial loss: 1.429556, acc: 0.203125] 14267: [discriminator loss: 0.627738, acc: 0.617188] [adversarial loss: 0.997748, acc: 0.359375] 14268: [discriminator loss: 0.567542, acc: 0.687500] [adversarial loss: 1.432110, acc: 0.140625] 14269: [discriminator loss: 0.536316, acc: 0.718750] [adversarial loss: 0.852190, acc: 0.484375] 14270: [discriminator loss: 0.558217, acc: 0.687500] [adversarial loss: 1.296150, acc: 0.156250] 14271: [discriminator loss: 0.525598, acc: 0.734375] [adversarial loss: 0.975742, acc: 0.421875] 14272: [discriminator loss: 0.550827, acc: 0.750000] [adversarial loss: 1.457207, acc: 0.093750] 14273: [discriminator loss: 0.620184, acc: 0.640625] [adversarial loss: 0.881324, acc: 0.406250] 14274: [discriminator loss: 0.497350, acc: 0.726562] [adversarial loss: 1.183398, acc: 0.328125] 14275: [discriminator loss: 0.466228, acc: 0.765625] [adversarial loss: 1.112204, acc: 0.359375] 14276: [discriminator loss: 0.518706, acc: 0.789062] [adversarial loss: 1.664732, acc: 0.062500] 14277: [discriminator loss: 0.535259, acc: 0.757812] [adversarial loss: 0.861588, acc: 0.531250] 14278: [discriminator loss: 0.567385, acc: 0.718750] [adversarial loss: 1.413803, acc: 0.171875] 14279: [discriminator loss: 0.641424, acc: 0.640625] [adversarial loss: 0.884962, acc: 0.437500] 14280: [discriminator loss: 0.575760, acc: 0.703125] [adversarial loss: 1.220570, acc: 0.187500] 14281: [discriminator loss: 0.559102, acc: 0.703125] [adversarial loss: 1.004667, acc: 0.312500] 14282: [discriminator loss: 0.517490, acc: 0.718750] [adversarial loss: 1.546596, acc: 0.125000] 14283: [discriminator loss: 0.570047, acc: 0.664062] [adversarial loss: 0.797765, acc: 0.515625] 14284: [discriminator loss: 0.497006, acc: 0.765625] [adversarial loss: 1.322139, acc: 0.156250] 14285: [discriminator loss: 0.561692, acc: 0.757812] [adversarial loss: 1.020831, acc: 0.359375] 14286: [discriminator loss: 0.455059, acc: 0.804688] [adversarial loss: 1.177215, acc: 0.281250] 14287: [discriminator loss: 0.566320, acc: 0.703125] [adversarial loss: 1.562132, acc: 0.125000] 14288: [discriminator loss: 0.549832, acc: 0.734375] [adversarial loss: 0.799955, acc: 0.437500] 14289: [discriminator loss: 0.522134, acc: 0.750000] [adversarial loss: 1.183498, acc: 0.296875] 14290: [discriminator loss: 0.573265, acc: 0.695312] [adversarial loss: 0.942819, acc: 0.359375] 14291: [discriminator loss: 0.535588, acc: 0.726562] [adversarial loss: 1.503484, acc: 0.125000] 14292: [discriminator loss: 0.587045, acc: 0.664062] [adversarial loss: 0.908763, acc: 0.359375] 14293: [discriminator loss: 0.532480, acc: 0.757812] [adversarial loss: 1.399152, acc: 0.078125] 14294: [discriminator loss: 0.597600, acc: 0.664062] [adversarial loss: 0.806583, acc: 0.484375] 14295: [discriminator loss: 0.605806, acc: 0.695312] [adversarial loss: 1.678914, acc: 0.046875] 14296: [discriminator loss: 0.646243, acc: 0.593750] [adversarial loss: 0.897613, acc: 0.390625] 14297: [discriminator loss: 0.569341, acc: 0.734375] [adversarial loss: 1.438496, acc: 0.187500] 14298: [discriminator loss: 0.586944, acc: 0.671875] [adversarial loss: 0.999328, acc: 0.265625] 14299: [discriminator loss: 0.511112, acc: 0.734375] [adversarial loss: 1.114436, acc: 0.250000] 14300: [discriminator loss: 0.474724, acc: 0.796875] [adversarial loss: 1.248166, acc: 0.234375] 14301: [discriminator loss: 0.505479, acc: 0.742188] [adversarial loss: 1.128861, acc: 0.343750] 14302: [discriminator loss: 0.535869, acc: 0.734375] [adversarial loss: 0.998248, acc: 0.375000] 14303: [discriminator loss: 0.518367, acc: 0.750000] [adversarial loss: 1.026534, acc: 0.265625] 14304: [discriminator loss: 0.565500, acc: 0.726562] [adversarial loss: 1.215737, acc: 0.250000] 14305: [discriminator loss: 0.603416, acc: 0.601562] [adversarial loss: 1.181619, acc: 0.218750] 14306: [discriminator loss: 0.429400, acc: 0.804688] [adversarial loss: 0.936109, acc: 0.437500] 14307: [discriminator loss: 0.655362, acc: 0.585938] [adversarial loss: 1.382975, acc: 0.187500] 14308: [discriminator loss: 0.490755, acc: 0.781250] [adversarial loss: 1.225579, acc: 0.218750] 14309: [discriminator loss: 0.499562, acc: 0.726562] [adversarial loss: 1.231741, acc: 0.218750] 14310: [discriminator loss: 0.523244, acc: 0.781250] [adversarial loss: 1.105309, acc: 0.312500] 14311: [discriminator loss: 0.522568, acc: 0.757812] [adversarial loss: 1.216289, acc: 0.234375] 14312: [discriminator loss: 0.595620, acc: 0.617188] [adversarial loss: 1.162127, acc: 0.250000] 14313: [discriminator loss: 0.574817, acc: 0.679688] [adversarial loss: 1.468083, acc: 0.125000] 14314: [discriminator loss: 0.600791, acc: 0.664062] [adversarial loss: 1.025996, acc: 0.343750] 14315: [discriminator loss: 0.543944, acc: 0.734375] [adversarial loss: 0.980584, acc: 0.328125] 14316: [discriminator loss: 0.541827, acc: 0.726562] [adversarial loss: 1.041066, acc: 0.296875] 14317: [discriminator loss: 0.607987, acc: 0.640625] [adversarial loss: 1.297741, acc: 0.187500] 14318: [discriminator loss: 0.629433, acc: 0.609375] [adversarial loss: 1.035846, acc: 0.375000] 14319: [discriminator loss: 0.552629, acc: 0.687500] [adversarial loss: 1.401935, acc: 0.187500] 14320: [discriminator loss: 0.550088, acc: 0.726562] [adversarial loss: 0.847823, acc: 0.531250] 14321: [discriminator loss: 0.655161, acc: 0.648438] [adversarial loss: 1.776644, acc: 0.046875] 14322: [discriminator loss: 0.641630, acc: 0.632812] [adversarial loss: 0.669556, acc: 0.640625] 14323: [discriminator loss: 0.598505, acc: 0.640625] [adversarial loss: 1.510280, acc: 0.140625] 14324: [discriminator loss: 0.571585, acc: 0.710938] [adversarial loss: 0.762107, acc: 0.546875] 14325: [discriminator loss: 0.606806, acc: 0.632812] [adversarial loss: 1.085232, acc: 0.250000] 14326: [discriminator loss: 0.592834, acc: 0.656250] [adversarial loss: 1.133623, acc: 0.390625] 14327: [discriminator loss: 0.550141, acc: 0.726562] [adversarial loss: 1.617740, acc: 0.109375] 14328: [discriminator loss: 0.565026, acc: 0.671875] [adversarial loss: 0.906242, acc: 0.421875] 14329: [discriminator loss: 0.503384, acc: 0.820312] [adversarial loss: 1.240078, acc: 0.234375] 14330: [discriminator loss: 0.533923, acc: 0.734375] [adversarial loss: 1.149120, acc: 0.265625] 14331: [discriminator loss: 0.516257, acc: 0.796875] [adversarial loss: 1.185471, acc: 0.265625] 14332: [discriminator loss: 0.538833, acc: 0.773438] [adversarial loss: 1.022319, acc: 0.312500] 14333: [discriminator loss: 0.610737, acc: 0.648438] [adversarial loss: 1.433757, acc: 0.125000] 14334: [discriminator loss: 0.633257, acc: 0.640625] [adversarial loss: 0.752019, acc: 0.515625] 14335: [discriminator loss: 0.559546, acc: 0.710938] [adversarial loss: 1.653864, acc: 0.093750] 14336: [discriminator loss: 0.612526, acc: 0.632812] [adversarial loss: 0.958434, acc: 0.390625] 14337: [discriminator loss: 0.534842, acc: 0.734375] [adversarial loss: 1.242579, acc: 0.203125] 14338: [discriminator loss: 0.565253, acc: 0.640625] [adversarial loss: 0.958384, acc: 0.375000] 14339: [discriminator loss: 0.614581, acc: 0.679688] [adversarial loss: 1.211592, acc: 0.203125] 14340: [discriminator loss: 0.573925, acc: 0.695312] [adversarial loss: 1.041236, acc: 0.390625] 14341: [discriminator loss: 0.540221, acc: 0.734375] [adversarial loss: 1.202968, acc: 0.234375] 14342: [discriminator loss: 0.539888, acc: 0.742188] [adversarial loss: 1.150809, acc: 0.250000] 14343: [discriminator loss: 0.506566, acc: 0.742188] [adversarial loss: 1.233629, acc: 0.218750] 14344: [discriminator loss: 0.549868, acc: 0.718750] [adversarial loss: 1.188890, acc: 0.218750] 14345: [discriminator loss: 0.586531, acc: 0.679688] [adversarial loss: 1.027554, acc: 0.250000] 14346: [discriminator loss: 0.503354, acc: 0.742188] [adversarial loss: 1.510693, acc: 0.140625] 14347: [discriminator loss: 0.562310, acc: 0.710938] [adversarial loss: 0.711810, acc: 0.562500] 14348: [discriminator loss: 0.575112, acc: 0.710938] [adversarial loss: 1.381837, acc: 0.156250] 14349: [discriminator loss: 0.631253, acc: 0.679688] [adversarial loss: 1.013478, acc: 0.375000] 14350: [discriminator loss: 0.509228, acc: 0.750000] [adversarial loss: 1.340643, acc: 0.187500] 14351: [discriminator loss: 0.587033, acc: 0.679688] [adversarial loss: 0.889923, acc: 0.375000] 14352: [discriminator loss: 0.571290, acc: 0.687500] [adversarial loss: 1.519515, acc: 0.125000] 14353: [discriminator loss: 0.597150, acc: 0.679688] [adversarial loss: 0.853545, acc: 0.390625] 14354: [discriminator loss: 0.540931, acc: 0.710938] [adversarial loss: 1.406034, acc: 0.140625] 14355: [discriminator loss: 0.520723, acc: 0.726562] [adversarial loss: 1.089218, acc: 0.343750] 14356: [discriminator loss: 0.552698, acc: 0.710938] [adversarial loss: 1.155766, acc: 0.359375] 14357: [discriminator loss: 0.579878, acc: 0.671875] [adversarial loss: 1.131991, acc: 0.218750] 14358: [discriminator loss: 0.540958, acc: 0.718750] [adversarial loss: 1.220407, acc: 0.171875] 14359: [discriminator loss: 0.531936, acc: 0.765625] [adversarial loss: 0.932943, acc: 0.343750] 14360: [discriminator loss: 0.532018, acc: 0.734375] [adversarial loss: 1.174530, acc: 0.234375] 14361: [discriminator loss: 0.638705, acc: 0.625000] [adversarial loss: 0.722835, acc: 0.578125] 14362: [discriminator loss: 0.563912, acc: 0.710938] [adversarial loss: 1.630066, acc: 0.078125] 14363: [discriminator loss: 0.449787, acc: 0.750000] [adversarial loss: 0.836520, acc: 0.437500] 14364: [discriminator loss: 0.544860, acc: 0.734375] [adversarial loss: 1.439026, acc: 0.109375] 14365: [discriminator loss: 0.557956, acc: 0.695312] [adversarial loss: 1.218164, acc: 0.234375] 14366: [discriminator loss: 0.548169, acc: 0.726562] [adversarial loss: 1.417132, acc: 0.187500] 14367: [discriminator loss: 0.568340, acc: 0.703125] [adversarial loss: 0.957412, acc: 0.437500] 14368: [discriminator loss: 0.550735, acc: 0.703125] [adversarial loss: 1.597712, acc: 0.046875] 14369: [discriminator loss: 0.505120, acc: 0.750000] [adversarial loss: 1.148712, acc: 0.296875] 14370: [discriminator loss: 0.547004, acc: 0.734375] [adversarial loss: 1.242592, acc: 0.234375] 14371: [discriminator loss: 0.489985, acc: 0.765625] [adversarial loss: 0.972503, acc: 0.375000] 14372: [discriminator loss: 0.470738, acc: 0.765625] [adversarial loss: 1.153497, acc: 0.343750] 14373: [discriminator loss: 0.540738, acc: 0.718750] [adversarial loss: 1.505652, acc: 0.093750] 14374: [discriminator loss: 0.583979, acc: 0.687500] [adversarial loss: 0.724648, acc: 0.578125] 14375: [discriminator loss: 0.466941, acc: 0.820312] [adversarial loss: 1.335148, acc: 0.187500] 14376: [discriminator loss: 0.553005, acc: 0.679688] [adversarial loss: 0.862138, acc: 0.468750] 14377: [discriminator loss: 0.546365, acc: 0.710938] [adversarial loss: 1.175544, acc: 0.359375] 14378: [discriminator loss: 0.530931, acc: 0.742188] [adversarial loss: 1.095228, acc: 0.296875] 14379: [discriminator loss: 0.557529, acc: 0.710938] [adversarial loss: 0.927116, acc: 0.343750] 14380: [discriminator loss: 0.506672, acc: 0.750000] [adversarial loss: 1.217301, acc: 0.218750] 14381: [discriminator loss: 0.545837, acc: 0.742188] [adversarial loss: 1.099243, acc: 0.328125] 14382: [discriminator loss: 0.526633, acc: 0.734375] [adversarial loss: 1.311169, acc: 0.218750] 14383: [discriminator loss: 0.589928, acc: 0.640625] [adversarial loss: 1.149295, acc: 0.234375] 14384: [discriminator loss: 0.492183, acc: 0.750000] [adversarial loss: 1.510043, acc: 0.125000] 14385: [discriminator loss: 0.582668, acc: 0.726562] [adversarial loss: 1.055765, acc: 0.375000] 14386: [discriminator loss: 0.614527, acc: 0.648438] [adversarial loss: 1.113305, acc: 0.234375] 14387: [discriminator loss: 0.584628, acc: 0.671875] [adversarial loss: 1.137817, acc: 0.265625] 14388: [discriminator loss: 0.510961, acc: 0.757812] [adversarial loss: 1.031044, acc: 0.343750] 14389: [discriminator loss: 0.513100, acc: 0.734375] [adversarial loss: 1.450594, acc: 0.187500] 14390: [discriminator loss: 0.492741, acc: 0.765625] [adversarial loss: 1.117688, acc: 0.328125] 14391: [discriminator loss: 0.544840, acc: 0.687500] [adversarial loss: 1.439274, acc: 0.156250] 14392: [discriminator loss: 0.589112, acc: 0.648438] [adversarial loss: 0.945315, acc: 0.375000] 14393: [discriminator loss: 0.510942, acc: 0.742188] [adversarial loss: 1.451126, acc: 0.156250] 14394: [discriminator loss: 0.646617, acc: 0.625000] [adversarial loss: 0.864503, acc: 0.484375] 14395: [discriminator loss: 0.555930, acc: 0.710938] [adversarial loss: 1.611800, acc: 0.109375] 14396: [discriminator loss: 0.596582, acc: 0.656250] [adversarial loss: 0.892126, acc: 0.421875] 14397: [discriminator loss: 0.572984, acc: 0.648438] [adversarial loss: 1.270055, acc: 0.265625] 14398: [discriminator loss: 0.610182, acc: 0.671875] [adversarial loss: 0.967622, acc: 0.468750] 14399: [discriminator loss: 0.544792, acc: 0.734375] [adversarial loss: 1.132719, acc: 0.328125] 14400: [discriminator loss: 0.573047, acc: 0.703125] [adversarial loss: 1.035596, acc: 0.359375] 14401: [discriminator loss: 0.490675, acc: 0.757812] [adversarial loss: 1.130826, acc: 0.234375] 14402: [discriminator loss: 0.547787, acc: 0.710938] [adversarial loss: 1.160739, acc: 0.171875] 14403: [discriminator loss: 0.542035, acc: 0.710938] [adversarial loss: 1.126537, acc: 0.234375] 14404: [discriminator loss: 0.517167, acc: 0.750000] [adversarial loss: 1.023030, acc: 0.359375] 14405: [discriminator loss: 0.526807, acc: 0.765625] [adversarial loss: 1.220483, acc: 0.281250] 14406: [discriminator loss: 0.471089, acc: 0.781250] [adversarial loss: 1.064147, acc: 0.250000] 14407: [discriminator loss: 0.556290, acc: 0.734375] [adversarial loss: 1.258540, acc: 0.218750] 14408: [discriminator loss: 0.485220, acc: 0.796875] [adversarial loss: 1.178370, acc: 0.312500] 14409: [discriminator loss: 0.531484, acc: 0.695312] [adversarial loss: 1.018676, acc: 0.359375] 14410: [discriminator loss: 0.512059, acc: 0.757812] [adversarial loss: 1.455888, acc: 0.109375] 14411: [discriminator loss: 0.533105, acc: 0.718750] [adversarial loss: 0.794778, acc: 0.562500] 14412: [discriminator loss: 0.544722, acc: 0.703125] [adversarial loss: 1.625834, acc: 0.046875] 14413: [discriminator loss: 0.574352, acc: 0.648438] [adversarial loss: 0.756367, acc: 0.500000] 14414: [discriminator loss: 0.631644, acc: 0.648438] [adversarial loss: 1.427890, acc: 0.156250] 14415: [discriminator loss: 0.622735, acc: 0.648438] [adversarial loss: 0.848361, acc: 0.515625] 14416: [discriminator loss: 0.595390, acc: 0.695312] [adversarial loss: 1.657432, acc: 0.109375] 14417: [discriminator loss: 0.581021, acc: 0.695312] [adversarial loss: 0.755861, acc: 0.625000] 14418: [discriminator loss: 0.680695, acc: 0.664062] [adversarial loss: 1.387462, acc: 0.125000] 14419: [discriminator loss: 0.554109, acc: 0.671875] [adversarial loss: 0.835277, acc: 0.453125] 14420: [discriminator loss: 0.563737, acc: 0.718750] [adversarial loss: 1.306867, acc: 0.250000] 14421: [discriminator loss: 0.622694, acc: 0.632812] [adversarial loss: 0.975183, acc: 0.343750] 14422: [discriminator loss: 0.573373, acc: 0.687500] [adversarial loss: 1.359449, acc: 0.218750] 14423: [discriminator loss: 0.492342, acc: 0.757812] [adversarial loss: 1.092482, acc: 0.328125] 14424: [discriminator loss: 0.509632, acc: 0.781250] [adversarial loss: 1.062222, acc: 0.375000] 14425: [discriminator loss: 0.609433, acc: 0.679688] [adversarial loss: 1.114391, acc: 0.265625] 14426: [discriminator loss: 0.549494, acc: 0.734375] [adversarial loss: 0.962475, acc: 0.343750] 14427: [discriminator loss: 0.532518, acc: 0.734375] [adversarial loss: 1.520614, acc: 0.140625] 14428: [discriminator loss: 0.547189, acc: 0.710938] [adversarial loss: 1.150977, acc: 0.296875] 14429: [discriminator loss: 0.630665, acc: 0.648438] [adversarial loss: 0.996557, acc: 0.281250] 14430: [discriminator loss: 0.547260, acc: 0.742188] [adversarial loss: 1.377893, acc: 0.093750] 14431: [discriminator loss: 0.600856, acc: 0.648438] [adversarial loss: 1.013337, acc: 0.328125] 14432: [discriminator loss: 0.622834, acc: 0.648438] [adversarial loss: 0.892201, acc: 0.421875] 14433: [discriminator loss: 0.608504, acc: 0.671875] [adversarial loss: 1.081424, acc: 0.359375] 14434: [discriminator loss: 0.514572, acc: 0.765625] [adversarial loss: 1.269428, acc: 0.203125] 14435: [discriminator loss: 0.467503, acc: 0.796875] [adversarial loss: 1.109912, acc: 0.296875] 14436: [discriminator loss: 0.459099, acc: 0.804688] [adversarial loss: 0.966256, acc: 0.343750] 14437: [discriminator loss: 0.539008, acc: 0.718750] [adversarial loss: 1.192924, acc: 0.234375] 14438: [discriminator loss: 0.573985, acc: 0.671875] [adversarial loss: 1.242554, acc: 0.250000] 14439: [discriminator loss: 0.585074, acc: 0.687500] [adversarial loss: 1.249994, acc: 0.218750] 14440: [discriminator loss: 0.576747, acc: 0.664062] [adversarial loss: 1.156242, acc: 0.187500] 14441: [discriminator loss: 0.564928, acc: 0.703125] [adversarial loss: 1.459387, acc: 0.093750] 14442: [discriminator loss: 0.597988, acc: 0.632812] [adversarial loss: 0.843026, acc: 0.531250] 14443: [discriminator loss: 0.627810, acc: 0.703125] [adversarial loss: 1.666160, acc: 0.031250] 14444: [discriminator loss: 0.565493, acc: 0.695312] [adversarial loss: 0.796506, acc: 0.578125] 14445: [discriminator loss: 0.599160, acc: 0.695312] [adversarial loss: 1.698839, acc: 0.078125] 14446: [discriminator loss: 0.619391, acc: 0.679688] [adversarial loss: 0.680835, acc: 0.625000] 14447: [discriminator loss: 0.654795, acc: 0.671875] [adversarial loss: 1.547476, acc: 0.125000] 14448: [discriminator loss: 0.692843, acc: 0.664062] [adversarial loss: 0.965484, acc: 0.390625] 14449: [discriminator loss: 0.529388, acc: 0.703125] [adversarial loss: 1.366112, acc: 0.171875] 14450: [discriminator loss: 0.600790, acc: 0.656250] [adversarial loss: 1.212819, acc: 0.187500] 14451: [discriminator loss: 0.606147, acc: 0.648438] [adversarial loss: 1.282050, acc: 0.234375] 14452: [discriminator loss: 0.527112, acc: 0.750000] [adversarial loss: 1.202981, acc: 0.281250] 14453: [discriminator loss: 0.554973, acc: 0.726562] [adversarial loss: 0.896158, acc: 0.312500] 14454: [discriminator loss: 0.509695, acc: 0.742188] [adversarial loss: 1.138565, acc: 0.250000] 14455: [discriminator loss: 0.510918, acc: 0.734375] [adversarial loss: 1.061943, acc: 0.312500] 14456: [discriminator loss: 0.552415, acc: 0.664062] [adversarial loss: 1.487620, acc: 0.062500] 14457: [discriminator loss: 0.500455, acc: 0.757812] [adversarial loss: 0.997463, acc: 0.328125] 14458: [discriminator loss: 0.625017, acc: 0.679688] [adversarial loss: 1.266722, acc: 0.171875] 14459: [discriminator loss: 0.489901, acc: 0.804688] [adversarial loss: 1.178578, acc: 0.203125] 14460: [discriminator loss: 0.574794, acc: 0.671875] [adversarial loss: 1.318600, acc: 0.156250] 14461: [discriminator loss: 0.516053, acc: 0.765625] [adversarial loss: 1.249283, acc: 0.234375] 14462: [discriminator loss: 0.524232, acc: 0.734375] [adversarial loss: 1.279687, acc: 0.296875] 14463: [discriminator loss: 0.543194, acc: 0.718750] [adversarial loss: 1.022441, acc: 0.312500] 14464: [discriminator loss: 0.537932, acc: 0.742188] [adversarial loss: 1.349108, acc: 0.234375] 14465: [discriminator loss: 0.526116, acc: 0.742188] [adversarial loss: 1.435346, acc: 0.171875] 14466: [discriminator loss: 0.579302, acc: 0.703125] [adversarial loss: 0.782544, acc: 0.484375] 14467: [discriminator loss: 0.555552, acc: 0.703125] [adversarial loss: 1.912095, acc: 0.046875] 14468: [discriminator loss: 0.681715, acc: 0.609375] [adversarial loss: 0.776145, acc: 0.484375] 14469: [discriminator loss: 0.533950, acc: 0.726562] [adversarial loss: 1.445349, acc: 0.187500] 14470: [discriminator loss: 0.531214, acc: 0.750000] [adversarial loss: 0.939421, acc: 0.406250] 14471: [discriminator loss: 0.571239, acc: 0.687500] [adversarial loss: 1.480089, acc: 0.078125] 14472: [discriminator loss: 0.568845, acc: 0.664062] [adversarial loss: 0.904156, acc: 0.390625] 14473: [discriminator loss: 0.619838, acc: 0.656250] [adversarial loss: 1.357694, acc: 0.125000] 14474: [discriminator loss: 0.586171, acc: 0.710938] [adversarial loss: 0.715725, acc: 0.515625] 14475: [discriminator loss: 0.641539, acc: 0.679688] [adversarial loss: 1.583006, acc: 0.093750] 14476: [discriminator loss: 0.516963, acc: 0.710938] [adversarial loss: 0.884619, acc: 0.421875] 14477: [discriminator loss: 0.533249, acc: 0.765625] [adversarial loss: 1.290563, acc: 0.203125] 14478: [discriminator loss: 0.521912, acc: 0.687500] [adversarial loss: 0.966670, acc: 0.406250] 14479: [discriminator loss: 0.549637, acc: 0.710938] [adversarial loss: 1.388058, acc: 0.078125] 14480: [discriminator loss: 0.579924, acc: 0.664062] [adversarial loss: 1.127285, acc: 0.312500] 14481: [discriminator loss: 0.499335, acc: 0.750000] [adversarial loss: 1.091477, acc: 0.265625] 14482: [discriminator loss: 0.584832, acc: 0.656250] [adversarial loss: 0.981496, acc: 0.390625] 14483: [discriminator loss: 0.555506, acc: 0.687500] [adversarial loss: 1.301439, acc: 0.125000] 14484: [discriminator loss: 0.573334, acc: 0.718750] [adversarial loss: 0.899310, acc: 0.421875] 14485: [discriminator loss: 0.523874, acc: 0.750000] [adversarial loss: 1.267490, acc: 0.234375] 14486: [discriminator loss: 0.572058, acc: 0.703125] [adversarial loss: 1.212861, acc: 0.203125] 14487: [discriminator loss: 0.469062, acc: 0.781250] [adversarial loss: 1.150793, acc: 0.218750] 14488: [discriminator loss: 0.556828, acc: 0.726562] [adversarial loss: 1.379794, acc: 0.171875] 14489: [discriminator loss: 0.490434, acc: 0.750000] [adversarial loss: 1.127336, acc: 0.296875] 14490: [discriminator loss: 0.635376, acc: 0.656250] [adversarial loss: 0.989894, acc: 0.296875] 14491: [discriminator loss: 0.594275, acc: 0.625000] [adversarial loss: 1.490401, acc: 0.140625] 14492: [discriminator loss: 0.516594, acc: 0.742188] [adversarial loss: 1.063920, acc: 0.343750] 14493: [discriminator loss: 0.547869, acc: 0.734375] [adversarial loss: 1.837325, acc: 0.015625] 14494: [discriminator loss: 0.615534, acc: 0.656250] [adversarial loss: 0.635801, acc: 0.671875] 14495: [discriminator loss: 0.601246, acc: 0.687500] [adversarial loss: 1.506633, acc: 0.140625] 14496: [discriminator loss: 0.570404, acc: 0.695312] [adversarial loss: 0.897798, acc: 0.375000] 14497: [discriminator loss: 0.578185, acc: 0.671875] [adversarial loss: 1.086109, acc: 0.250000] 14498: [discriminator loss: 0.572336, acc: 0.710938] [adversarial loss: 0.996727, acc: 0.359375] 14499: [discriminator loss: 0.555780, acc: 0.726562] [adversarial loss: 1.232951, acc: 0.281250] 14500: [discriminator loss: 0.581241, acc: 0.664062] [adversarial loss: 1.030753, acc: 0.453125] 14501: [discriminator loss: 0.503192, acc: 0.773438] [adversarial loss: 1.230048, acc: 0.203125] 14502: [discriminator loss: 0.565457, acc: 0.703125] [adversarial loss: 1.023083, acc: 0.390625] 14503: [discriminator loss: 0.578941, acc: 0.664062] [adversarial loss: 1.241799, acc: 0.234375] 14504: [discriminator loss: 0.563891, acc: 0.695312] [adversarial loss: 1.122947, acc: 0.296875] 14505: [discriminator loss: 0.509400, acc: 0.750000] [adversarial loss: 1.349229, acc: 0.187500] 14506: [discriminator loss: 0.521600, acc: 0.734375] [adversarial loss: 0.769172, acc: 0.515625] 14507: [discriminator loss: 0.637558, acc: 0.664062] [adversarial loss: 1.680149, acc: 0.109375] 14508: [discriminator loss: 0.546210, acc: 0.695312] [adversarial loss: 0.761033, acc: 0.500000] 14509: [discriminator loss: 0.630459, acc: 0.617188] [adversarial loss: 1.362806, acc: 0.109375] 14510: [discriminator loss: 0.574193, acc: 0.703125] [adversarial loss: 0.827607, acc: 0.453125] 14511: [discriminator loss: 0.542440, acc: 0.734375] [adversarial loss: 1.239602, acc: 0.171875] 14512: [discriminator loss: 0.542513, acc: 0.742188] [adversarial loss: 0.960560, acc: 0.281250] 14513: [discriminator loss: 0.573273, acc: 0.671875] [adversarial loss: 1.000221, acc: 0.390625] 14514: [discriminator loss: 0.654805, acc: 0.648438] [adversarial loss: 1.357793, acc: 0.156250] 14515: [discriminator loss: 0.627267, acc: 0.593750] [adversarial loss: 0.967913, acc: 0.421875] 14516: [discriminator loss: 0.520478, acc: 0.765625] [adversarial loss: 1.367875, acc: 0.140625] 14517: [discriminator loss: 0.531116, acc: 0.765625] [adversarial loss: 1.088217, acc: 0.218750] 14518: [discriminator loss: 0.547057, acc: 0.695312] [adversarial loss: 1.237221, acc: 0.187500] 14519: [discriminator loss: 0.561604, acc: 0.734375] [adversarial loss: 0.835526, acc: 0.468750] 14520: [discriminator loss: 0.624084, acc: 0.617188] [adversarial loss: 1.360402, acc: 0.140625] 14521: [discriminator loss: 0.556170, acc: 0.671875] [adversarial loss: 0.879476, acc: 0.390625] 14522: [discriminator loss: 0.533940, acc: 0.742188] [adversarial loss: 1.309875, acc: 0.218750] 14523: [discriminator loss: 0.534137, acc: 0.703125] [adversarial loss: 1.052718, acc: 0.328125] 14524: [discriminator loss: 0.501034, acc: 0.734375] [adversarial loss: 1.447528, acc: 0.125000] 14525: [discriminator loss: 0.563191, acc: 0.718750] [adversarial loss: 1.045186, acc: 0.265625] 14526: [discriminator loss: 0.565004, acc: 0.750000] [adversarial loss: 1.212581, acc: 0.187500] 14527: [discriminator loss: 0.534726, acc: 0.726562] [adversarial loss: 1.371635, acc: 0.140625] 14528: [discriminator loss: 0.551444, acc: 0.742188] [adversarial loss: 1.178752, acc: 0.281250] 14529: [discriminator loss: 0.545229, acc: 0.734375] [adversarial loss: 1.424837, acc: 0.109375] 14530: [discriminator loss: 0.553788, acc: 0.703125] [adversarial loss: 1.169491, acc: 0.234375] 14531: [discriminator loss: 0.622222, acc: 0.664062] [adversarial loss: 1.672471, acc: 0.046875] 14532: [discriminator loss: 0.608806, acc: 0.695312] [adversarial loss: 0.747472, acc: 0.593750] 14533: [discriminator loss: 0.615828, acc: 0.625000] [adversarial loss: 1.699293, acc: 0.046875] 14534: [discriminator loss: 0.565435, acc: 0.703125] [adversarial loss: 0.978639, acc: 0.375000] 14535: [discriminator loss: 0.612978, acc: 0.640625] [adversarial loss: 1.580691, acc: 0.140625] 14536: [discriminator loss: 0.590109, acc: 0.687500] [adversarial loss: 0.971647, acc: 0.312500] 14537: [discriminator loss: 0.603879, acc: 0.671875] [adversarial loss: 1.146620, acc: 0.296875] 14538: [discriminator loss: 0.590947, acc: 0.617188] [adversarial loss: 0.915517, acc: 0.343750] 14539: [discriminator loss: 0.534873, acc: 0.718750] [adversarial loss: 1.147545, acc: 0.234375] 14540: [discriminator loss: 0.562382, acc: 0.687500] [adversarial loss: 0.954782, acc: 0.390625] 14541: [discriminator loss: 0.608037, acc: 0.679688] [adversarial loss: 1.418531, acc: 0.078125] 14542: [discriminator loss: 0.611266, acc: 0.625000] [adversarial loss: 0.764196, acc: 0.500000] 14543: [discriminator loss: 0.590911, acc: 0.664062] [adversarial loss: 1.501377, acc: 0.093750] 14544: [discriminator loss: 0.536099, acc: 0.703125] [adversarial loss: 0.985201, acc: 0.406250] 14545: [discriminator loss: 0.572847, acc: 0.687500] [adversarial loss: 0.889872, acc: 0.437500] 14546: [discriminator loss: 0.602287, acc: 0.664062] [adversarial loss: 1.146238, acc: 0.187500] 14547: [discriminator loss: 0.587515, acc: 0.734375] [adversarial loss: 1.163564, acc: 0.234375] 14548: [discriminator loss: 0.520592, acc: 0.789062] [adversarial loss: 1.303204, acc: 0.140625] 14549: [discriminator loss: 0.573356, acc: 0.664062] [adversarial loss: 1.042472, acc: 0.312500] 14550: [discriminator loss: 0.558680, acc: 0.718750] [adversarial loss: 1.391934, acc: 0.140625] 14551: [discriminator loss: 0.611578, acc: 0.671875] [adversarial loss: 1.020881, acc: 0.312500] 14552: [discriminator loss: 0.553284, acc: 0.710938] [adversarial loss: 1.215923, acc: 0.171875] 14553: [discriminator loss: 0.544866, acc: 0.750000] [adversarial loss: 1.029413, acc: 0.375000] 14554: [discriminator loss: 0.646840, acc: 0.609375] [adversarial loss: 1.249989, acc: 0.234375] 14555: [discriminator loss: 0.532643, acc: 0.750000] [adversarial loss: 1.079480, acc: 0.250000] 14556: [discriminator loss: 0.564944, acc: 0.703125] [adversarial loss: 1.006024, acc: 0.296875] 14557: [discriminator loss: 0.542215, acc: 0.726562] [adversarial loss: 1.309155, acc: 0.234375] 14558: [discriminator loss: 0.645522, acc: 0.617188] [adversarial loss: 1.170746, acc: 0.312500] 14559: [discriminator loss: 0.482231, acc: 0.796875] [adversarial loss: 1.021723, acc: 0.421875] 14560: [discriminator loss: 0.537463, acc: 0.687500] [adversarial loss: 1.526219, acc: 0.187500] 14561: [discriminator loss: 0.527029, acc: 0.734375] [adversarial loss: 0.761939, acc: 0.531250] 14562: [discriminator loss: 0.570504, acc: 0.703125] [adversarial loss: 1.524500, acc: 0.140625] 14563: [discriminator loss: 0.572205, acc: 0.703125] [adversarial loss: 0.885481, acc: 0.390625] 14564: [discriminator loss: 0.605768, acc: 0.710938] [adversarial loss: 1.389772, acc: 0.171875] 14565: [discriminator loss: 0.603389, acc: 0.640625] [adversarial loss: 1.123791, acc: 0.343750] 14566: [discriminator loss: 0.568812, acc: 0.695312] [adversarial loss: 1.331595, acc: 0.187500] 14567: [discriminator loss: 0.525822, acc: 0.726562] [adversarial loss: 1.047261, acc: 0.328125] 14568: [discriminator loss: 0.574105, acc: 0.679688] [adversarial loss: 1.208050, acc: 0.265625] 14569: [discriminator loss: 0.475972, acc: 0.789062] [adversarial loss: 1.348641, acc: 0.140625] 14570: [discriminator loss: 0.493360, acc: 0.765625] [adversarial loss: 0.929972, acc: 0.375000] 14571: [discriminator loss: 0.529766, acc: 0.695312] [adversarial loss: 1.634665, acc: 0.031250] 14572: [discriminator loss: 0.590250, acc: 0.664062] [adversarial loss: 0.907352, acc: 0.343750] 14573: [discriminator loss: 0.604741, acc: 0.679688] [adversarial loss: 1.434782, acc: 0.125000] 14574: [discriminator loss: 0.539103, acc: 0.695312] [adversarial loss: 0.912302, acc: 0.359375] 14575: [discriminator loss: 0.536250, acc: 0.718750] [adversarial loss: 1.303473, acc: 0.171875] 14576: [discriminator loss: 0.554439, acc: 0.750000] [adversarial loss: 0.985508, acc: 0.312500] 14577: [discriminator loss: 0.554363, acc: 0.726562] [adversarial loss: 1.378224, acc: 0.156250] 14578: [discriminator loss: 0.534345, acc: 0.726562] [adversarial loss: 0.673414, acc: 0.640625] 14579: [discriminator loss: 0.546554, acc: 0.710938] [adversarial loss: 1.491906, acc: 0.109375] 14580: [discriminator loss: 0.581540, acc: 0.640625] [adversarial loss: 0.831263, acc: 0.500000] 14581: [discriminator loss: 0.559263, acc: 0.750000] [adversarial loss: 1.345061, acc: 0.203125] 14582: [discriminator loss: 0.618026, acc: 0.640625] [adversarial loss: 1.261896, acc: 0.250000] 14583: [discriminator loss: 0.595996, acc: 0.671875] [adversarial loss: 1.330598, acc: 0.109375] 14584: [discriminator loss: 0.521701, acc: 0.734375] [adversarial loss: 0.978226, acc: 0.250000] 14585: [discriminator loss: 0.581085, acc: 0.703125] [adversarial loss: 1.273875, acc: 0.125000] 14586: [discriminator loss: 0.483869, acc: 0.750000] [adversarial loss: 1.339148, acc: 0.156250] 14587: [discriminator loss: 0.572509, acc: 0.656250] [adversarial loss: 1.024532, acc: 0.312500] 14588: [discriminator loss: 0.639931, acc: 0.632812] [adversarial loss: 0.953231, acc: 0.390625] 14589: [discriminator loss: 0.534513, acc: 0.734375] [adversarial loss: 1.410385, acc: 0.171875] 14590: [discriminator loss: 0.562066, acc: 0.710938] [adversarial loss: 0.783025, acc: 0.484375] 14591: [discriminator loss: 0.545919, acc: 0.734375] [adversarial loss: 1.296254, acc: 0.125000] 14592: [discriminator loss: 0.511680, acc: 0.734375] [adversarial loss: 0.980866, acc: 0.343750] 14593: [discriminator loss: 0.480021, acc: 0.765625] [adversarial loss: 1.252894, acc: 0.250000] 14594: [discriminator loss: 0.563488, acc: 0.718750] [adversarial loss: 0.931160, acc: 0.343750] 14595: [discriminator loss: 0.502091, acc: 0.765625] [adversarial loss: 1.206360, acc: 0.218750] 14596: [discriminator loss: 0.569741, acc: 0.695312] [adversarial loss: 1.039164, acc: 0.296875] 14597: [discriminator loss: 0.564784, acc: 0.695312] [adversarial loss: 1.021028, acc: 0.296875] 14598: [discriminator loss: 0.522662, acc: 0.710938] [adversarial loss: 1.311383, acc: 0.140625] 14599: [discriminator loss: 0.533018, acc: 0.718750] [adversarial loss: 0.706665, acc: 0.609375] 14600: [discriminator loss: 0.604543, acc: 0.687500] [adversarial loss: 1.800367, acc: 0.046875] 14601: [discriminator loss: 0.611855, acc: 0.664062] [adversarial loss: 0.828608, acc: 0.562500] 14602: [discriminator loss: 0.579550, acc: 0.710938] [adversarial loss: 1.216216, acc: 0.187500] 14603: [discriminator loss: 0.513845, acc: 0.765625] [adversarial loss: 1.160365, acc: 0.296875] 14604: [discriminator loss: 0.508313, acc: 0.734375] [adversarial loss: 1.336657, acc: 0.125000] 14605: [discriminator loss: 0.505686, acc: 0.734375] [adversarial loss: 1.005398, acc: 0.343750] 14606: [discriminator loss: 0.596418, acc: 0.671875] [adversarial loss: 1.333034, acc: 0.125000] 14607: [discriminator loss: 0.633362, acc: 0.656250] [adversarial loss: 0.916979, acc: 0.421875] 14608: [discriminator loss: 0.618870, acc: 0.640625] [adversarial loss: 1.365882, acc: 0.203125] 14609: [discriminator loss: 0.586260, acc: 0.703125] [adversarial loss: 0.969588, acc: 0.296875] 14610: [discriminator loss: 0.575547, acc: 0.710938] [adversarial loss: 1.349537, acc: 0.140625] 14611: [discriminator loss: 0.506165, acc: 0.718750] [adversarial loss: 1.149974, acc: 0.234375] 14612: [discriminator loss: 0.562859, acc: 0.703125] [adversarial loss: 1.063975, acc: 0.328125] 14613: [discriminator loss: 0.518717, acc: 0.710938] [adversarial loss: 1.024490, acc: 0.312500] 14614: [discriminator loss: 0.551058, acc: 0.726562] [adversarial loss: 1.202829, acc: 0.218750] 14615: [discriminator loss: 0.559823, acc: 0.695312] [adversarial loss: 1.172959, acc: 0.125000] 14616: [discriminator loss: 0.518699, acc: 0.750000] [adversarial loss: 1.157048, acc: 0.296875] 14617: [discriminator loss: 0.536736, acc: 0.726562] [adversarial loss: 1.418893, acc: 0.203125] 14618: [discriminator loss: 0.534249, acc: 0.734375] [adversarial loss: 0.878326, acc: 0.453125] 14619: [discriminator loss: 0.553413, acc: 0.703125] [adversarial loss: 1.752708, acc: 0.093750] 14620: [discriminator loss: 0.607584, acc: 0.687500] [adversarial loss: 0.851025, acc: 0.421875] 14621: [discriminator loss: 0.577506, acc: 0.734375] [adversarial loss: 1.391833, acc: 0.187500] 14622: [discriminator loss: 0.566209, acc: 0.656250] [adversarial loss: 1.015291, acc: 0.375000] 14623: [discriminator loss: 0.545512, acc: 0.687500] [adversarial loss: 1.175140, acc: 0.359375] 14624: [discriminator loss: 0.551661, acc: 0.703125] [adversarial loss: 1.167737, acc: 0.234375] 14625: [discriminator loss: 0.554876, acc: 0.656250] [adversarial loss: 1.261686, acc: 0.234375] 14626: [discriminator loss: 0.611300, acc: 0.664062] [adversarial loss: 1.080094, acc: 0.312500] 14627: [discriminator loss: 0.565020, acc: 0.695312] [adversarial loss: 1.116160, acc: 0.328125] 14628: [discriminator loss: 0.536399, acc: 0.734375] [adversarial loss: 1.360264, acc: 0.140625] 14629: [discriminator loss: 0.541567, acc: 0.710938] [adversarial loss: 0.897303, acc: 0.437500] 14630: [discriminator loss: 0.579413, acc: 0.734375] [adversarial loss: 1.337206, acc: 0.187500] 14631: [discriminator loss: 0.569273, acc: 0.679688] [adversarial loss: 0.602448, acc: 0.687500] 14632: [discriminator loss: 0.642619, acc: 0.664062] [adversarial loss: 1.448996, acc: 0.140625] 14633: [discriminator loss: 0.591772, acc: 0.656250] [adversarial loss: 1.137863, acc: 0.296875] 14634: [discriminator loss: 0.612219, acc: 0.632812] [adversarial loss: 1.069771, acc: 0.328125] 14635: [discriminator loss: 0.507226, acc: 0.703125] [adversarial loss: 1.238359, acc: 0.218750] 14636: [discriminator loss: 0.540827, acc: 0.750000] [adversarial loss: 0.991552, acc: 0.343750] 14637: [discriminator loss: 0.480439, acc: 0.781250] [adversarial loss: 1.554915, acc: 0.187500] 14638: [discriminator loss: 0.626927, acc: 0.632812] [adversarial loss: 0.681855, acc: 0.625000] 14639: [discriminator loss: 0.573869, acc: 0.671875] [adversarial loss: 1.553567, acc: 0.078125] 14640: [discriminator loss: 0.531368, acc: 0.679688] [adversarial loss: 0.860914, acc: 0.468750] 14641: [discriminator loss: 0.615515, acc: 0.671875] [adversarial loss: 1.289455, acc: 0.218750] 14642: [discriminator loss: 0.508233, acc: 0.757812] [adversarial loss: 1.157009, acc: 0.375000] 14643: [discriminator loss: 0.493752, acc: 0.742188] [adversarial loss: 1.160990, acc: 0.218750] 14644: [discriminator loss: 0.552505, acc: 0.703125] [adversarial loss: 1.041334, acc: 0.312500] 14645: [discriminator loss: 0.558883, acc: 0.695312] [adversarial loss: 1.453691, acc: 0.187500] 14646: [discriminator loss: 0.563655, acc: 0.703125] [adversarial loss: 0.757807, acc: 0.578125] 14647: [discriminator loss: 0.582402, acc: 0.703125] [adversarial loss: 1.677878, acc: 0.078125] 14648: [discriminator loss: 0.601831, acc: 0.632812] [adversarial loss: 0.934262, acc: 0.406250] 14649: [discriminator loss: 0.580108, acc: 0.726562] [adversarial loss: 1.207322, acc: 0.312500] 14650: [discriminator loss: 0.529121, acc: 0.726562] [adversarial loss: 1.060474, acc: 0.281250] 14651: [discriminator loss: 0.487257, acc: 0.750000] [adversarial loss: 1.264468, acc: 0.265625] 14652: [discriminator loss: 0.589098, acc: 0.679688] [adversarial loss: 0.920177, acc: 0.406250] 14653: [discriminator loss: 0.540594, acc: 0.726562] [adversarial loss: 1.307289, acc: 0.218750] 14654: [discriminator loss: 0.552570, acc: 0.710938] [adversarial loss: 1.084809, acc: 0.250000] 14655: [discriminator loss: 0.482199, acc: 0.757812] [adversarial loss: 0.971079, acc: 0.343750] 14656: [discriminator loss: 0.597593, acc: 0.671875] [adversarial loss: 1.251953, acc: 0.218750] 14657: [discriminator loss: 0.573912, acc: 0.734375] [adversarial loss: 1.155495, acc: 0.265625] 14658: [discriminator loss: 0.483847, acc: 0.734375] [adversarial loss: 1.160598, acc: 0.265625] 14659: [discriminator loss: 0.466352, acc: 0.773438] [adversarial loss: 1.009528, acc: 0.312500] 14660: [discriminator loss: 0.557247, acc: 0.718750] [adversarial loss: 1.587045, acc: 0.093750] 14661: [discriminator loss: 0.575588, acc: 0.703125] [adversarial loss: 0.710047, acc: 0.578125] 14662: [discriminator loss: 0.616920, acc: 0.695312] [adversarial loss: 1.454642, acc: 0.187500] 14663: [discriminator loss: 0.527263, acc: 0.757812] [adversarial loss: 0.798135, acc: 0.515625] 14664: [discriminator loss: 0.573864, acc: 0.703125] [adversarial loss: 1.029874, acc: 0.328125] 14665: [discriminator loss: 0.575855, acc: 0.695312] [adversarial loss: 1.098359, acc: 0.328125] 14666: [discriminator loss: 0.580896, acc: 0.671875] [adversarial loss: 1.245071, acc: 0.140625] 14667: [discriminator loss: 0.488764, acc: 0.757812] [adversarial loss: 1.216511, acc: 0.203125] 14668: [discriminator loss: 0.575582, acc: 0.648438] [adversarial loss: 1.114244, acc: 0.234375] 14669: [discriminator loss: 0.601705, acc: 0.664062] [adversarial loss: 1.156493, acc: 0.281250] 14670: [discriminator loss: 0.478438, acc: 0.789062] [adversarial loss: 0.971473, acc: 0.328125] 14671: [discriminator loss: 0.550900, acc: 0.671875] [adversarial loss: 1.434497, acc: 0.093750] 14672: [discriminator loss: 0.577247, acc: 0.679688] [adversarial loss: 0.970787, acc: 0.390625] 14673: [discriminator loss: 0.558656, acc: 0.718750] [adversarial loss: 1.635014, acc: 0.125000] 14674: [discriminator loss: 0.581169, acc: 0.640625] [adversarial loss: 1.103826, acc: 0.343750] 14675: [discriminator loss: 0.573161, acc: 0.664062] [adversarial loss: 1.355189, acc: 0.140625] 14676: [discriminator loss: 0.641271, acc: 0.632812] [adversarial loss: 0.907339, acc: 0.375000] 14677: [discriminator loss: 0.556637, acc: 0.703125] [adversarial loss: 1.673425, acc: 0.031250] 14678: [discriminator loss: 0.700127, acc: 0.632812] [adversarial loss: 0.937436, acc: 0.343750] 14679: [discriminator loss: 0.486048, acc: 0.781250] [adversarial loss: 1.118428, acc: 0.234375] 14680: [discriminator loss: 0.504311, acc: 0.726562] [adversarial loss: 1.200874, acc: 0.218750] 14681: [discriminator loss: 0.526139, acc: 0.703125] [adversarial loss: 1.219496, acc: 0.140625] 14682: [discriminator loss: 0.585641, acc: 0.710938] [adversarial loss: 1.079151, acc: 0.281250] 14683: [discriminator loss: 0.562943, acc: 0.679688] [adversarial loss: 1.175520, acc: 0.203125] 14684: [discriminator loss: 0.572071, acc: 0.710938] [adversarial loss: 1.365736, acc: 0.218750] 14685: [discriminator loss: 0.621583, acc: 0.640625] [adversarial loss: 1.032109, acc: 0.265625] 14686: [discriminator loss: 0.520588, acc: 0.726562] [adversarial loss: 0.980898, acc: 0.265625] 14687: [discriminator loss: 0.606198, acc: 0.656250] [adversarial loss: 1.297050, acc: 0.203125] 14688: [discriminator loss: 0.502223, acc: 0.742188] [adversarial loss: 0.895779, acc: 0.453125] 14689: [discriminator loss: 0.622526, acc: 0.617188] [adversarial loss: 1.300963, acc: 0.125000] 14690: [discriminator loss: 0.548311, acc: 0.687500] [adversarial loss: 1.006766, acc: 0.421875] 14691: [discriminator loss: 0.519834, acc: 0.703125] [adversarial loss: 1.232623, acc: 0.234375] 14692: [discriminator loss: 0.502380, acc: 0.773438] [adversarial loss: 1.034735, acc: 0.312500] 14693: [discriminator loss: 0.525881, acc: 0.750000] [adversarial loss: 1.077579, acc: 0.312500] 14694: [discriminator loss: 0.543733, acc: 0.703125] [adversarial loss: 1.387895, acc: 0.156250] 14695: [discriminator loss: 0.582304, acc: 0.648438] [adversarial loss: 0.853545, acc: 0.484375] 14696: [discriminator loss: 0.532146, acc: 0.695312] [adversarial loss: 1.374409, acc: 0.203125] 14697: [discriminator loss: 0.581442, acc: 0.648438] [adversarial loss: 0.854374, acc: 0.468750] 14698: [discriminator loss: 0.534150, acc: 0.710938] [adversarial loss: 1.355213, acc: 0.203125] 14699: [discriminator loss: 0.605605, acc: 0.648438] [adversarial loss: 0.848418, acc: 0.453125] 14700: [discriminator loss: 0.576423, acc: 0.695312] [adversarial loss: 1.221895, acc: 0.312500] 14701: [discriminator loss: 0.532844, acc: 0.718750] [adversarial loss: 1.264679, acc: 0.171875] 14702: [discriminator loss: 0.525117, acc: 0.679688] [adversarial loss: 1.105438, acc: 0.265625] 14703: [discriminator loss: 0.542139, acc: 0.687500] [adversarial loss: 1.253131, acc: 0.250000] 14704: [discriminator loss: 0.557756, acc: 0.656250] [adversarial loss: 1.043874, acc: 0.312500] 14705: [discriminator loss: 0.538577, acc: 0.718750] [adversarial loss: 1.470250, acc: 0.031250] 14706: [discriminator loss: 0.658215, acc: 0.609375] [adversarial loss: 0.912424, acc: 0.359375] 14707: [discriminator loss: 0.548095, acc: 0.742188] [adversarial loss: 1.440173, acc: 0.078125] 14708: [discriminator loss: 0.647747, acc: 0.640625] [adversarial loss: 0.969243, acc: 0.406250] 14709: [discriminator loss: 0.549857, acc: 0.742188] [adversarial loss: 1.333685, acc: 0.156250] 14710: [discriminator loss: 0.484240, acc: 0.742188] [adversarial loss: 1.090225, acc: 0.312500] 14711: [discriminator loss: 0.552522, acc: 0.710938] [adversarial loss: 1.481004, acc: 0.218750] 14712: [discriminator loss: 0.516672, acc: 0.679688] [adversarial loss: 0.965677, acc: 0.375000] 14713: [discriminator loss: 0.592573, acc: 0.664062] [adversarial loss: 1.362958, acc: 0.203125] 14714: [discriminator loss: 0.596482, acc: 0.648438] [adversarial loss: 1.016148, acc: 0.328125] 14715: [discriminator loss: 0.623453, acc: 0.687500] [adversarial loss: 1.479558, acc: 0.140625] 14716: [discriminator loss: 0.553637, acc: 0.734375] [adversarial loss: 0.988745, acc: 0.390625] 14717: [discriminator loss: 0.591367, acc: 0.664062] [adversarial loss: 1.390745, acc: 0.078125] 14718: [discriminator loss: 0.476914, acc: 0.742188] [adversarial loss: 1.097437, acc: 0.296875] 14719: [discriminator loss: 0.590613, acc: 0.695312] [adversarial loss: 1.229010, acc: 0.265625] 14720: [discriminator loss: 0.474770, acc: 0.734375] [adversarial loss: 0.968317, acc: 0.359375] 14721: [discriminator loss: 0.569978, acc: 0.695312] [adversarial loss: 1.659178, acc: 0.031250] 14722: [discriminator loss: 0.526137, acc: 0.726562] [adversarial loss: 1.239536, acc: 0.187500] 14723: [discriminator loss: 0.479907, acc: 0.773438] [adversarial loss: 1.107473, acc: 0.250000] 14724: [discriminator loss: 0.509595, acc: 0.828125] [adversarial loss: 1.189153, acc: 0.281250] 14725: [discriminator loss: 0.575511, acc: 0.726562] [adversarial loss: 1.085926, acc: 0.343750] 14726: [discriminator loss: 0.590726, acc: 0.687500] [adversarial loss: 1.201429, acc: 0.265625] 14727: [discriminator loss: 0.593656, acc: 0.664062] [adversarial loss: 0.910664, acc: 0.468750] 14728: [discriminator loss: 0.565611, acc: 0.742188] [adversarial loss: 1.191204, acc: 0.203125] 14729: [discriminator loss: 0.635323, acc: 0.632812] [adversarial loss: 1.063982, acc: 0.296875] 14730: [discriminator loss: 0.634528, acc: 0.632812] [adversarial loss: 1.123801, acc: 0.281250] 14731: [discriminator loss: 0.523699, acc: 0.695312] [adversarial loss: 1.422643, acc: 0.156250] 14732: [discriminator loss: 0.581756, acc: 0.703125] [adversarial loss: 0.840131, acc: 0.500000] 14733: [discriminator loss: 0.537065, acc: 0.710938] [adversarial loss: 1.848101, acc: 0.031250] 14734: [discriminator loss: 0.575296, acc: 0.703125] [adversarial loss: 1.053046, acc: 0.359375] 14735: [discriminator loss: 0.543442, acc: 0.734375] [adversarial loss: 1.247158, acc: 0.250000] 14736: [discriminator loss: 0.671271, acc: 0.609375] [adversarial loss: 0.873851, acc: 0.375000] 14737: [discriminator loss: 0.496850, acc: 0.765625] [adversarial loss: 1.719041, acc: 0.062500] 14738: [discriminator loss: 0.632769, acc: 0.609375] [adversarial loss: 0.947160, acc: 0.343750] 14739: [discriminator loss: 0.514879, acc: 0.734375] [adversarial loss: 1.486466, acc: 0.109375] 14740: [discriminator loss: 0.592103, acc: 0.625000] [adversarial loss: 1.091726, acc: 0.359375] 14741: [discriminator loss: 0.543813, acc: 0.710938] [adversarial loss: 1.053271, acc: 0.281250] 14742: [discriminator loss: 0.600037, acc: 0.679688] [adversarial loss: 1.258400, acc: 0.296875] 14743: [discriminator loss: 0.599692, acc: 0.656250] [adversarial loss: 1.004761, acc: 0.328125] 14744: [discriminator loss: 0.508872, acc: 0.789062] [adversarial loss: 1.221982, acc: 0.359375] 14745: [discriminator loss: 0.544054, acc: 0.679688] [adversarial loss: 0.991647, acc: 0.421875] 14746: [discriminator loss: 0.584663, acc: 0.703125] [adversarial loss: 1.159788, acc: 0.265625] 14747: [discriminator loss: 0.555256, acc: 0.718750] [adversarial loss: 1.208786, acc: 0.250000] 14748: [discriminator loss: 0.555714, acc: 0.757812] [adversarial loss: 1.213573, acc: 0.234375] 14749: [discriminator loss: 0.540641, acc: 0.750000] [adversarial loss: 1.042420, acc: 0.390625] 14750: [discriminator loss: 0.543305, acc: 0.765625] [adversarial loss: 1.270337, acc: 0.187500] 14751: [discriminator loss: 0.490311, acc: 0.765625] [adversarial loss: 0.937416, acc: 0.375000] 14752: [discriminator loss: 0.648834, acc: 0.640625] [adversarial loss: 1.337978, acc: 0.171875] 14753: [discriminator loss: 0.534387, acc: 0.718750] [adversarial loss: 0.932544, acc: 0.406250] 14754: [discriminator loss: 0.476388, acc: 0.796875] [adversarial loss: 1.125711, acc: 0.281250] 14755: [discriminator loss: 0.543122, acc: 0.679688] [adversarial loss: 1.480509, acc: 0.093750] 14756: [discriminator loss: 0.566192, acc: 0.710938] [adversarial loss: 0.989593, acc: 0.359375] 14757: [discriminator loss: 0.488850, acc: 0.757812] [adversarial loss: 1.175056, acc: 0.265625] 14758: [discriminator loss: 0.528157, acc: 0.734375] [adversarial loss: 0.951254, acc: 0.390625] 14759: [discriminator loss: 0.540227, acc: 0.757812] [adversarial loss: 1.305827, acc: 0.187500] 14760: [discriminator loss: 0.499771, acc: 0.750000] [adversarial loss: 1.275779, acc: 0.109375] 14761: [discriminator loss: 0.488794, acc: 0.804688] [adversarial loss: 0.900963, acc: 0.390625] 14762: [discriminator loss: 0.606619, acc: 0.648438] [adversarial loss: 1.327085, acc: 0.109375] 14763: [discriminator loss: 0.575746, acc: 0.687500] [adversarial loss: 1.096572, acc: 0.312500] 14764: [discriminator loss: 0.543768, acc: 0.726562] [adversarial loss: 0.643000, acc: 0.656250] 14765: [discriminator loss: 0.626912, acc: 0.640625] [adversarial loss: 1.756029, acc: 0.078125] 14766: [discriminator loss: 0.667666, acc: 0.601562] [adversarial loss: 0.541301, acc: 0.750000] 14767: [discriminator loss: 0.591704, acc: 0.648438] [adversarial loss: 1.425393, acc: 0.125000] 14768: [discriminator loss: 0.540727, acc: 0.710938] [adversarial loss: 0.990621, acc: 0.421875] 14769: [discriminator loss: 0.602138, acc: 0.656250] [adversarial loss: 1.511030, acc: 0.234375] 14770: [discriminator loss: 0.495194, acc: 0.789062] [adversarial loss: 1.050096, acc: 0.281250] 14771: [discriminator loss: 0.524122, acc: 0.710938] [adversarial loss: 1.058167, acc: 0.328125] 14772: [discriminator loss: 0.548548, acc: 0.703125] [adversarial loss: 1.053692, acc: 0.343750] 14773: [discriminator loss: 0.550316, acc: 0.671875] [adversarial loss: 1.144460, acc: 0.296875] 14774: [discriminator loss: 0.547246, acc: 0.695312] [adversarial loss: 1.037143, acc: 0.359375] 14775: [discriminator loss: 0.516704, acc: 0.726562] [adversarial loss: 1.285581, acc: 0.156250] 14776: [discriminator loss: 0.533027, acc: 0.695312] [adversarial loss: 0.843056, acc: 0.515625] 14777: [discriminator loss: 0.590523, acc: 0.671875] [adversarial loss: 1.290640, acc: 0.187500] 14778: [discriminator loss: 0.546833, acc: 0.648438] [adversarial loss: 0.943683, acc: 0.343750] 14779: [discriminator loss: 0.575284, acc: 0.750000] [adversarial loss: 1.239635, acc: 0.203125] 14780: [discriminator loss: 0.542314, acc: 0.703125] [adversarial loss: 1.064134, acc: 0.312500] 14781: [discriminator loss: 0.488739, acc: 0.796875] [adversarial loss: 1.037400, acc: 0.375000] 14782: [discriminator loss: 0.481791, acc: 0.742188] [adversarial loss: 1.195410, acc: 0.265625] 14783: [discriminator loss: 0.534570, acc: 0.679688] [adversarial loss: 0.999326, acc: 0.343750] 14784: [discriminator loss: 0.514236, acc: 0.726562] [adversarial loss: 1.590276, acc: 0.109375] 14785: [discriminator loss: 0.515278, acc: 0.757812] [adversarial loss: 0.956368, acc: 0.312500] 14786: [discriminator loss: 0.527386, acc: 0.757812] [adversarial loss: 1.643583, acc: 0.062500] 14787: [discriminator loss: 0.603963, acc: 0.609375] [adversarial loss: 0.967236, acc: 0.375000] 14788: [discriminator loss: 0.557447, acc: 0.726562] [adversarial loss: 1.117461, acc: 0.265625] 14789: [discriminator loss: 0.565339, acc: 0.734375] [adversarial loss: 1.079609, acc: 0.265625] 14790: [discriminator loss: 0.536395, acc: 0.773438] [adversarial loss: 1.022623, acc: 0.359375] 14791: [discriminator loss: 0.452947, acc: 0.796875] [adversarial loss: 1.210006, acc: 0.234375] 14792: [discriminator loss: 0.506225, acc: 0.734375] [adversarial loss: 0.991898, acc: 0.343750] 14793: [discriminator loss: 0.538145, acc: 0.726562] [adversarial loss: 1.132007, acc: 0.296875] 14794: [discriminator loss: 0.482352, acc: 0.773438] [adversarial loss: 1.315886, acc: 0.234375] 14795: [discriminator loss: 0.521425, acc: 0.687500] [adversarial loss: 0.970554, acc: 0.375000] 14796: [discriminator loss: 0.633711, acc: 0.656250] [adversarial loss: 1.546990, acc: 0.156250] 14797: [discriminator loss: 0.638889, acc: 0.640625] [adversarial loss: 0.626720, acc: 0.640625] 14798: [discriminator loss: 0.652390, acc: 0.679688] [adversarial loss: 1.775278, acc: 0.062500] 14799: [discriminator loss: 0.620785, acc: 0.664062] [adversarial loss: 0.840861, acc: 0.468750] 14800: [discriminator loss: 0.582492, acc: 0.671875] [adversarial loss: 1.351320, acc: 0.046875] 14801: [discriminator loss: 0.547053, acc: 0.687500] [adversarial loss: 1.025669, acc: 0.312500] 14802: [discriminator loss: 0.558390, acc: 0.734375] [adversarial loss: 1.542049, acc: 0.171875] 14803: [discriminator loss: 0.562068, acc: 0.695312] [adversarial loss: 0.919829, acc: 0.359375] 14804: [discriminator loss: 0.556649, acc: 0.726562] [adversarial loss: 1.369378, acc: 0.171875] 14805: [discriminator loss: 0.560029, acc: 0.664062] [adversarial loss: 1.057847, acc: 0.359375] 14806: [discriminator loss: 0.522390, acc: 0.750000] [adversarial loss: 1.297022, acc: 0.156250] 14807: [discriminator loss: 0.541317, acc: 0.757812] [adversarial loss: 1.042559, acc: 0.390625] 14808: [discriminator loss: 0.584993, acc: 0.679688] [adversarial loss: 1.122033, acc: 0.265625] 14809: [discriminator loss: 0.614954, acc: 0.640625] [adversarial loss: 0.868726, acc: 0.468750] 14810: [discriminator loss: 0.596715, acc: 0.664062] [adversarial loss: 1.595987, acc: 0.171875] 14811: [discriminator loss: 0.480383, acc: 0.757812] [adversarial loss: 1.001178, acc: 0.328125] 14812: [discriminator loss: 0.571441, acc: 0.632812] [adversarial loss: 1.273451, acc: 0.140625] 14813: [discriminator loss: 0.518607, acc: 0.734375] [adversarial loss: 0.994758, acc: 0.375000] 14814: [discriminator loss: 0.525523, acc: 0.710938] [adversarial loss: 1.229756, acc: 0.234375] 14815: [discriminator loss: 0.530261, acc: 0.703125] [adversarial loss: 0.953556, acc: 0.375000] 14816: [discriminator loss: 0.555736, acc: 0.718750] [adversarial loss: 1.317047, acc: 0.265625] 14817: [discriminator loss: 0.496624, acc: 0.765625] [adversarial loss: 1.195613, acc: 0.203125] 14818: [discriminator loss: 0.563498, acc: 0.703125] [adversarial loss: 1.026623, acc: 0.375000] 14819: [discriminator loss: 0.510601, acc: 0.726562] [adversarial loss: 1.211645, acc: 0.234375] 14820: [discriminator loss: 0.548621, acc: 0.695312] [adversarial loss: 1.124617, acc: 0.281250] 14821: [discriminator loss: 0.545748, acc: 0.726562] [adversarial loss: 1.494285, acc: 0.109375] 14822: [discriminator loss: 0.586459, acc: 0.695312] [adversarial loss: 0.964415, acc: 0.406250] 14823: [discriminator loss: 0.603181, acc: 0.679688] [adversarial loss: 1.358291, acc: 0.109375] 14824: [discriminator loss: 0.518446, acc: 0.734375] [adversarial loss: 0.972475, acc: 0.437500] 14825: [discriminator loss: 0.505640, acc: 0.773438] [adversarial loss: 1.420825, acc: 0.140625] 14826: [discriminator loss: 0.568198, acc: 0.726562] [adversarial loss: 1.151135, acc: 0.296875] 14827: [discriminator loss: 0.487599, acc: 0.757812] [adversarial loss: 1.353813, acc: 0.125000] 14828: [discriminator loss: 0.627207, acc: 0.632812] [adversarial loss: 1.054396, acc: 0.296875] 14829: [discriminator loss: 0.554181, acc: 0.750000] [adversarial loss: 1.231628, acc: 0.187500] 14830: [discriminator loss: 0.520594, acc: 0.742188] [adversarial loss: 1.333313, acc: 0.187500] 14831: [discriminator loss: 0.546703, acc: 0.695312] [adversarial loss: 0.936820, acc: 0.390625] 14832: [discriminator loss: 0.575277, acc: 0.687500] [adversarial loss: 1.602541, acc: 0.062500] 14833: [discriminator loss: 0.650179, acc: 0.593750] [adversarial loss: 0.935221, acc: 0.515625] 14834: [discriminator loss: 0.519503, acc: 0.734375] [adversarial loss: 1.241572, acc: 0.234375] 14835: [discriminator loss: 0.548160, acc: 0.703125] [adversarial loss: 1.085561, acc: 0.296875] 14836: [discriminator loss: 0.561071, acc: 0.695312] [adversarial loss: 1.177782, acc: 0.265625] 14837: [discriminator loss: 0.555910, acc: 0.687500] [adversarial loss: 1.022267, acc: 0.343750] 14838: [discriminator loss: 0.535336, acc: 0.750000] [adversarial loss: 1.118171, acc: 0.234375] 14839: [discriminator loss: 0.557934, acc: 0.671875] [adversarial loss: 1.064140, acc: 0.343750] 14840: [discriminator loss: 0.621297, acc: 0.664062] [adversarial loss: 1.301955, acc: 0.156250] 14841: [discriminator loss: 0.554870, acc: 0.679688] [adversarial loss: 1.011257, acc: 0.296875] 14842: [discriminator loss: 0.562677, acc: 0.742188] [adversarial loss: 1.303465, acc: 0.234375] 14843: [discriminator loss: 0.600881, acc: 0.671875] [adversarial loss: 1.051926, acc: 0.359375] 14844: [discriminator loss: 0.587783, acc: 0.687500] [adversarial loss: 1.147890, acc: 0.281250] 14845: [discriminator loss: 0.483013, acc: 0.804688] [adversarial loss: 1.243765, acc: 0.156250] 14846: [discriminator loss: 0.514740, acc: 0.750000] [adversarial loss: 0.924929, acc: 0.437500] 14847: [discriminator loss: 0.555993, acc: 0.734375] [adversarial loss: 1.590892, acc: 0.093750] 14848: [discriminator loss: 0.672883, acc: 0.640625] [adversarial loss: 0.985169, acc: 0.328125] 14849: [discriminator loss: 0.516350, acc: 0.773438] [adversarial loss: 1.481345, acc: 0.125000] 14850: [discriminator loss: 0.568635, acc: 0.648438] [adversarial loss: 0.960458, acc: 0.421875] 14851: [discriminator loss: 0.553454, acc: 0.734375] [adversarial loss: 1.463197, acc: 0.171875] 14852: [discriminator loss: 0.527603, acc: 0.710938] [adversarial loss: 1.037669, acc: 0.328125] 14853: [discriminator loss: 0.530934, acc: 0.671875] [adversarial loss: 1.055149, acc: 0.234375] 14854: [discriminator loss: 0.579064, acc: 0.687500] [adversarial loss: 1.136060, acc: 0.281250] 14855: [discriminator loss: 0.502240, acc: 0.773438] [adversarial loss: 1.277750, acc: 0.218750] 14856: [discriminator loss: 0.471490, acc: 0.742188] [adversarial loss: 1.003189, acc: 0.343750] 14857: [discriminator loss: 0.518485, acc: 0.742188] [adversarial loss: 1.517332, acc: 0.109375] 14858: [discriminator loss: 0.491744, acc: 0.750000] [adversarial loss: 0.804966, acc: 0.484375] 14859: [discriminator loss: 0.481321, acc: 0.765625] [adversarial loss: 1.453527, acc: 0.156250] 14860: [discriminator loss: 0.522834, acc: 0.710938] [adversarial loss: 1.252580, acc: 0.187500] 14861: [discriminator loss: 0.613953, acc: 0.687500] [adversarial loss: 1.094048, acc: 0.328125] 14862: [discriminator loss: 0.566171, acc: 0.726562] [adversarial loss: 1.110132, acc: 0.281250] 14863: [discriminator loss: 0.516712, acc: 0.726562] [adversarial loss: 1.177917, acc: 0.250000] 14864: [discriminator loss: 0.514967, acc: 0.773438] [adversarial loss: 1.219969, acc: 0.234375] 14865: [discriminator loss: 0.614955, acc: 0.695312] [adversarial loss: 1.212465, acc: 0.218750] 14866: [discriminator loss: 0.632121, acc: 0.625000] [adversarial loss: 1.010220, acc: 0.312500] 14867: [discriminator loss: 0.503007, acc: 0.765625] [adversarial loss: 1.378026, acc: 0.171875] 14868: [discriminator loss: 0.598823, acc: 0.718750] [adversarial loss: 0.780329, acc: 0.531250] 14869: [discriminator loss: 0.533964, acc: 0.703125] [adversarial loss: 1.373192, acc: 0.187500] 14870: [discriminator loss: 0.578284, acc: 0.695312] [adversarial loss: 0.853678, acc: 0.484375] 14871: [discriminator loss: 0.561197, acc: 0.664062] [adversarial loss: 1.669129, acc: 0.125000] 14872: [discriminator loss: 0.672347, acc: 0.648438] [adversarial loss: 0.767285, acc: 0.562500] 14873: [discriminator loss: 0.592627, acc: 0.679688] [adversarial loss: 1.404751, acc: 0.109375] 14874: [discriminator loss: 0.524655, acc: 0.640625] [adversarial loss: 0.888893, acc: 0.453125] 14875: [discriminator loss: 0.542544, acc: 0.757812] [adversarial loss: 1.501867, acc: 0.140625] 14876: [discriminator loss: 0.572960, acc: 0.695312] [adversarial loss: 0.894124, acc: 0.453125] 14877: [discriminator loss: 0.563531, acc: 0.695312] [adversarial loss: 1.253999, acc: 0.250000] 14878: [discriminator loss: 0.530743, acc: 0.718750] [adversarial loss: 0.994731, acc: 0.359375] 14879: [discriminator loss: 0.520420, acc: 0.726562] [adversarial loss: 1.574270, acc: 0.140625] 14880: [discriminator loss: 0.634217, acc: 0.648438] [adversarial loss: 0.953547, acc: 0.437500] 14881: [discriminator loss: 0.609923, acc: 0.648438] [adversarial loss: 1.371352, acc: 0.125000] 14882: [discriminator loss: 0.603656, acc: 0.671875] [adversarial loss: 0.863326, acc: 0.531250] 14883: [discriminator loss: 0.618652, acc: 0.664062] [adversarial loss: 1.374402, acc: 0.171875] 14884: [discriminator loss: 0.547944, acc: 0.710938] [adversarial loss: 1.039709, acc: 0.375000] 14885: [discriminator loss: 0.560996, acc: 0.687500] [adversarial loss: 1.491786, acc: 0.140625] 14886: [discriminator loss: 0.580728, acc: 0.640625] [adversarial loss: 0.836351, acc: 0.453125] 14887: [discriminator loss: 0.560758, acc: 0.726562] [adversarial loss: 1.350175, acc: 0.140625] 14888: [discriminator loss: 0.583107, acc: 0.734375] [adversarial loss: 0.879821, acc: 0.406250] 14889: [discriminator loss: 0.550594, acc: 0.710938] [adversarial loss: 1.560580, acc: 0.078125] 14890: [discriminator loss: 0.604534, acc: 0.656250] [adversarial loss: 0.963533, acc: 0.359375] 14891: [discriminator loss: 0.495729, acc: 0.757812] [adversarial loss: 1.055263, acc: 0.375000] 14892: [discriminator loss: 0.455291, acc: 0.812500] [adversarial loss: 1.048398, acc: 0.312500] 14893: [discriminator loss: 0.547471, acc: 0.726562] [adversarial loss: 1.158611, acc: 0.250000] 14894: [discriminator loss: 0.558586, acc: 0.671875] [adversarial loss: 1.108567, acc: 0.312500] 14895: [discriminator loss: 0.497973, acc: 0.765625] [adversarial loss: 1.438469, acc: 0.171875] 14896: [discriminator loss: 0.549368, acc: 0.671875] [adversarial loss: 1.024282, acc: 0.406250] 14897: [discriminator loss: 0.568587, acc: 0.640625] [adversarial loss: 1.303470, acc: 0.187500] 14898: [discriminator loss: 0.553627, acc: 0.742188] [adversarial loss: 0.909688, acc: 0.312500] 14899: [discriminator loss: 0.519542, acc: 0.687500] [adversarial loss: 1.259597, acc: 0.250000] 14900: [discriminator loss: 0.495234, acc: 0.765625] [adversarial loss: 1.057175, acc: 0.312500] 14901: [discriminator loss: 0.507596, acc: 0.750000] [adversarial loss: 0.955021, acc: 0.437500] 14902: [discriminator loss: 0.524081, acc: 0.750000] [adversarial loss: 1.057456, acc: 0.296875] 14903: [discriminator loss: 0.491637, acc: 0.773438] [adversarial loss: 1.267547, acc: 0.187500] 14904: [discriminator loss: 0.555879, acc: 0.687500] [adversarial loss: 1.002742, acc: 0.359375] 14905: [discriminator loss: 0.503500, acc: 0.757812] [adversarial loss: 1.438417, acc: 0.125000] 14906: [discriminator loss: 0.588136, acc: 0.664062] [adversarial loss: 0.791183, acc: 0.453125] 14907: [discriminator loss: 0.636333, acc: 0.679688] [adversarial loss: 1.809091, acc: 0.093750] 14908: [discriminator loss: 0.541002, acc: 0.734375] [adversarial loss: 1.045362, acc: 0.343750] 14909: [discriminator loss: 0.617427, acc: 0.671875] [adversarial loss: 1.587738, acc: 0.093750] 14910: [discriminator loss: 0.594129, acc: 0.695312] [adversarial loss: 1.165066, acc: 0.218750] 14911: [discriminator loss: 0.565960, acc: 0.710938] [adversarial loss: 1.158091, acc: 0.218750] 14912: [discriminator loss: 0.604871, acc: 0.679688] [adversarial loss: 1.221020, acc: 0.156250] 14913: [discriminator loss: 0.611419, acc: 0.648438] [adversarial loss: 1.074068, acc: 0.312500] 14914: [discriminator loss: 0.575314, acc: 0.718750] [adversarial loss: 1.110776, acc: 0.234375] 14915: [discriminator loss: 0.548741, acc: 0.703125] [adversarial loss: 1.524693, acc: 0.109375] 14916: [discriminator loss: 0.575372, acc: 0.687500] [adversarial loss: 0.909263, acc: 0.390625] 14917: [discriminator loss: 0.577711, acc: 0.671875] [adversarial loss: 1.515803, acc: 0.109375] 14918: [discriminator loss: 0.534151, acc: 0.703125] [adversarial loss: 0.975838, acc: 0.375000] 14919: [discriminator loss: 0.508206, acc: 0.750000] [adversarial loss: 1.383951, acc: 0.187500] 14920: [discriminator loss: 0.579801, acc: 0.703125] [adversarial loss: 0.821708, acc: 0.500000] 14921: [discriminator loss: 0.590541, acc: 0.625000] [adversarial loss: 1.536785, acc: 0.140625] 14922: [discriminator loss: 0.476456, acc: 0.789062] [adversarial loss: 0.955691, acc: 0.390625] 14923: [discriminator loss: 0.518275, acc: 0.726562] [adversarial loss: 1.339092, acc: 0.093750] 14924: [discriminator loss: 0.569189, acc: 0.687500] [adversarial loss: 1.101844, acc: 0.390625] 14925: [discriminator loss: 0.527925, acc: 0.750000] [adversarial loss: 1.087057, acc: 0.265625] 14926: [discriminator loss: 0.543682, acc: 0.718750] [adversarial loss: 1.155860, acc: 0.218750] 14927: [discriminator loss: 0.519122, acc: 0.718750] [adversarial loss: 1.273315, acc: 0.156250] 14928: [discriminator loss: 0.543503, acc: 0.710938] [adversarial loss: 0.987821, acc: 0.343750] 14929: [discriminator loss: 0.566077, acc: 0.703125] [adversarial loss: 1.218032, acc: 0.250000] 14930: [discriminator loss: 0.577220, acc: 0.679688] [adversarial loss: 0.951197, acc: 0.406250] 14931: [discriminator loss: 0.530594, acc: 0.757812] [adversarial loss: 1.433909, acc: 0.171875] 14932: [discriminator loss: 0.498152, acc: 0.742188] [adversarial loss: 1.057299, acc: 0.312500] 14933: [discriminator loss: 0.581025, acc: 0.679688] [adversarial loss: 1.662038, acc: 0.125000] 14934: [discriminator loss: 0.635418, acc: 0.625000] [adversarial loss: 0.907144, acc: 0.375000] 14935: [discriminator loss: 0.556009, acc: 0.687500] [adversarial loss: 1.596635, acc: 0.140625] 14936: [discriminator loss: 0.567035, acc: 0.703125] [adversarial loss: 0.914479, acc: 0.359375] 14937: [discriminator loss: 0.599625, acc: 0.679688] [adversarial loss: 1.491199, acc: 0.140625] 14938: [discriminator loss: 0.528721, acc: 0.687500] [adversarial loss: 1.092227, acc: 0.265625] 14939: [discriminator loss: 0.551458, acc: 0.695312] [adversarial loss: 1.234503, acc: 0.234375] 14940: [discriminator loss: 0.521746, acc: 0.726562] [adversarial loss: 0.972668, acc: 0.406250] 14941: [discriminator loss: 0.546416, acc: 0.703125] [adversarial loss: 1.172187, acc: 0.218750] 14942: [discriminator loss: 0.629800, acc: 0.664062] [adversarial loss: 1.418762, acc: 0.140625] 14943: [discriminator loss: 0.504125, acc: 0.718750] [adversarial loss: 0.760387, acc: 0.531250] 14944: [discriminator loss: 0.558488, acc: 0.718750] [adversarial loss: 1.205423, acc: 0.187500] 14945: [discriminator loss: 0.522324, acc: 0.726562] [adversarial loss: 0.983827, acc: 0.390625] 14946: [discriminator loss: 0.533024, acc: 0.742188] [adversarial loss: 1.305009, acc: 0.156250] 14947: [discriminator loss: 0.582933, acc: 0.671875] [adversarial loss: 1.157730, acc: 0.281250] 14948: [discriminator loss: 0.585982, acc: 0.679688] [adversarial loss: 1.374923, acc: 0.218750] 14949: [discriminator loss: 0.541749, acc: 0.710938] [adversarial loss: 0.887808, acc: 0.390625] 14950: [discriminator loss: 0.553780, acc: 0.703125] [adversarial loss: 1.505153, acc: 0.078125] 14951: [discriminator loss: 0.620757, acc: 0.671875] [adversarial loss: 0.735982, acc: 0.562500] 14952: [discriminator loss: 0.551894, acc: 0.726562] [adversarial loss: 1.467173, acc: 0.156250] 14953: [discriminator loss: 0.657377, acc: 0.617188] [adversarial loss: 1.264627, acc: 0.250000] 14954: [discriminator loss: 0.554895, acc: 0.703125] [adversarial loss: 1.293881, acc: 0.234375] 14955: [discriminator loss: 0.525458, acc: 0.695312] [adversarial loss: 1.328600, acc: 0.187500] 14956: [discriminator loss: 0.534624, acc: 0.726562] [adversarial loss: 1.076499, acc: 0.312500] 14957: [discriminator loss: 0.504867, acc: 0.750000] [adversarial loss: 1.091554, acc: 0.296875] 14958: [discriminator loss: 0.565325, acc: 0.679688] [adversarial loss: 1.090710, acc: 0.312500] 14959: [discriminator loss: 0.511482, acc: 0.710938] [adversarial loss: 0.984335, acc: 0.453125] 14960: [discriminator loss: 0.592302, acc: 0.703125] [adversarial loss: 1.235254, acc: 0.281250] 14961: [discriminator loss: 0.548636, acc: 0.687500] [adversarial loss: 1.106335, acc: 0.250000] 14962: [discriminator loss: 0.544431, acc: 0.710938] [adversarial loss: 1.213672, acc: 0.312500] 14963: [discriminator loss: 0.505066, acc: 0.765625] [adversarial loss: 1.406918, acc: 0.125000] 14964: [discriminator loss: 0.523695, acc: 0.734375] [adversarial loss: 1.092207, acc: 0.265625] 14965: [discriminator loss: 0.576250, acc: 0.679688] [adversarial loss: 1.189795, acc: 0.218750] 14966: [discriminator loss: 0.542496, acc: 0.671875] [adversarial loss: 1.324029, acc: 0.250000] 14967: [discriminator loss: 0.547840, acc: 0.687500] [adversarial loss: 0.996815, acc: 0.343750] 14968: [discriminator loss: 0.631541, acc: 0.687500] [adversarial loss: 1.530120, acc: 0.078125] 14969: [discriminator loss: 0.551153, acc: 0.742188] [adversarial loss: 0.819968, acc: 0.546875] 14970: [discriminator loss: 0.565969, acc: 0.695312] [adversarial loss: 1.698754, acc: 0.062500] 14971: [discriminator loss: 0.591112, acc: 0.703125] [adversarial loss: 0.819451, acc: 0.468750] 14972: [discriminator loss: 0.599569, acc: 0.671875] [adversarial loss: 1.410043, acc: 0.140625] 14973: [discriminator loss: 0.613871, acc: 0.656250] [adversarial loss: 0.953907, acc: 0.484375] 14974: [discriminator loss: 0.662961, acc: 0.664062] [adversarial loss: 1.671023, acc: 0.062500] 14975: [discriminator loss: 0.568627, acc: 0.656250] [adversarial loss: 0.908313, acc: 0.453125] 14976: [discriminator loss: 0.653184, acc: 0.632812] [adversarial loss: 1.281048, acc: 0.156250] 14977: [discriminator loss: 0.480784, acc: 0.742188] [adversarial loss: 1.155832, acc: 0.218750] 14978: [discriminator loss: 0.579079, acc: 0.703125] [adversarial loss: 1.253397, acc: 0.234375] 14979: [discriminator loss: 0.480507, acc: 0.742188] [adversarial loss: 0.942238, acc: 0.375000] 14980: [discriminator loss: 0.614415, acc: 0.679688] [adversarial loss: 1.166478, acc: 0.250000] 14981: [discriminator loss: 0.552421, acc: 0.734375] [adversarial loss: 1.002195, acc: 0.343750] 14982: [discriminator loss: 0.549985, acc: 0.687500] [adversarial loss: 1.256739, acc: 0.187500] 14983: [discriminator loss: 0.530223, acc: 0.773438] [adversarial loss: 1.220884, acc: 0.250000] 14984: [discriminator loss: 0.610028, acc: 0.640625] [adversarial loss: 0.969983, acc: 0.500000] 14985: [discriminator loss: 0.515362, acc: 0.710938] [adversarial loss: 1.222878, acc: 0.234375] 14986: [discriminator loss: 0.580773, acc: 0.703125] [adversarial loss: 1.213441, acc: 0.203125] 14987: [discriminator loss: 0.482864, acc: 0.781250] [adversarial loss: 1.279086, acc: 0.203125] 14988: [discriminator loss: 0.541751, acc: 0.671875] [adversarial loss: 1.266121, acc: 0.203125] 14989: [discriminator loss: 0.518982, acc: 0.734375] [adversarial loss: 0.907590, acc: 0.484375] 14990: [discriminator loss: 0.537827, acc: 0.726562] [adversarial loss: 1.233332, acc: 0.234375] 14991: [discriminator loss: 0.545282, acc: 0.726562] [adversarial loss: 1.175249, acc: 0.250000] 14992: [discriminator loss: 0.555933, acc: 0.687500] [adversarial loss: 1.283410, acc: 0.265625] 14993: [discriminator loss: 0.506618, acc: 0.734375] [adversarial loss: 1.035474, acc: 0.328125] 14994: [discriminator loss: 0.525814, acc: 0.750000] [adversarial loss: 1.323966, acc: 0.125000] 14995: [discriminator loss: 0.499948, acc: 0.757812] [adversarial loss: 0.911725, acc: 0.375000] 14996: [discriminator loss: 0.459853, acc: 0.757812] [adversarial loss: 1.282202, acc: 0.187500] 14997: [discriminator loss: 0.456323, acc: 0.789062] [adversarial loss: 0.858388, acc: 0.453125] 14998: [discriminator loss: 0.639299, acc: 0.632812] [adversarial loss: 1.791368, acc: 0.046875] 14999: [discriminator loss: 0.643527, acc: 0.617188] [adversarial loss: 0.925895, acc: 0.421875] 15000: [discriminator loss: 0.608845, acc: 0.671875] [adversarial loss: 1.609262, acc: 0.140625] 15001: [discriminator loss: 0.609942, acc: 0.656250] [adversarial loss: 1.051025, acc: 0.312500] 15002: [discriminator loss: 0.580788, acc: 0.703125] [adversarial loss: 1.455832, acc: 0.187500] 15003: [discriminator loss: 0.567692, acc: 0.703125] [adversarial loss: 0.995763, acc: 0.343750] 15004: [discriminator loss: 0.560970, acc: 0.765625] [adversarial loss: 1.346207, acc: 0.218750] 15005: [discriminator loss: 0.482098, acc: 0.773438] [adversarial loss: 0.953570, acc: 0.359375] 15006: [discriminator loss: 0.490900, acc: 0.765625] [adversarial loss: 1.231034, acc: 0.218750] 15007: [discriminator loss: 0.535487, acc: 0.710938] [adversarial loss: 0.996323, acc: 0.359375] 15008: [discriminator loss: 0.580420, acc: 0.703125] [adversarial loss: 1.403586, acc: 0.203125] 15009: [discriminator loss: 0.590906, acc: 0.687500] [adversarial loss: 0.886284, acc: 0.406250] 15010: [discriminator loss: 0.566638, acc: 0.679688] [adversarial loss: 1.526805, acc: 0.078125] 15011: [discriminator loss: 0.567019, acc: 0.718750] [adversarial loss: 0.888137, acc: 0.406250] 15012: [discriminator loss: 0.631441, acc: 0.640625] [adversarial loss: 1.271560, acc: 0.171875] 15013: [discriminator loss: 0.570537, acc: 0.718750] [adversarial loss: 0.997923, acc: 0.328125] 15014: [discriminator loss: 0.601922, acc: 0.671875] [adversarial loss: 1.203312, acc: 0.296875] 15015: [discriminator loss: 0.489873, acc: 0.789062] [adversarial loss: 1.003561, acc: 0.390625] 15016: [discriminator loss: 0.599955, acc: 0.679688] [adversarial loss: 1.420634, acc: 0.218750] 15017: [discriminator loss: 0.594001, acc: 0.664062] [adversarial loss: 0.781358, acc: 0.437500] 15018: [discriminator loss: 0.512245, acc: 0.765625] [adversarial loss: 1.283914, acc: 0.187500] 15019: [discriminator loss: 0.522992, acc: 0.781250] [adversarial loss: 1.198356, acc: 0.281250] 15020: [discriminator loss: 0.641284, acc: 0.656250] [adversarial loss: 1.054666, acc: 0.265625] 15021: [discriminator loss: 0.614229, acc: 0.656250] [adversarial loss: 1.164208, acc: 0.265625] 15022: [discriminator loss: 0.548252, acc: 0.781250] [adversarial loss: 1.034841, acc: 0.343750] 15023: [discriminator loss: 0.567374, acc: 0.710938] [adversarial loss: 1.165292, acc: 0.281250] 15024: [discriminator loss: 0.537594, acc: 0.750000] [adversarial loss: 0.996655, acc: 0.359375] 15025: [discriminator loss: 0.532155, acc: 0.656250] [adversarial loss: 1.425624, acc: 0.234375] 15026: [discriminator loss: 0.484768, acc: 0.757812] [adversarial loss: 0.857050, acc: 0.484375] 15027: [discriminator loss: 0.597894, acc: 0.695312] [adversarial loss: 1.608795, acc: 0.109375] 15028: [discriminator loss: 0.598584, acc: 0.695312] [adversarial loss: 0.989659, acc: 0.390625] 15029: [discriminator loss: 0.596325, acc: 0.703125] [adversarial loss: 1.197487, acc: 0.203125] 15030: [discriminator loss: 0.476020, acc: 0.734375] [adversarial loss: 0.842072, acc: 0.421875] 15031: [discriminator loss: 0.526704, acc: 0.765625] [adversarial loss: 1.657088, acc: 0.046875] 15032: [discriminator loss: 0.678833, acc: 0.617188] [adversarial loss: 0.735759, acc: 0.515625] 15033: [discriminator loss: 0.532004, acc: 0.765625] [adversarial loss: 1.342238, acc: 0.187500] 15034: [discriminator loss: 0.454917, acc: 0.804688] [adversarial loss: 1.490535, acc: 0.156250] 15035: [discriminator loss: 0.521612, acc: 0.726562] [adversarial loss: 0.947754, acc: 0.437500] 15036: [discriminator loss: 0.521839, acc: 0.750000] [adversarial loss: 1.297178, acc: 0.187500] 15037: [discriminator loss: 0.510718, acc: 0.742188] [adversarial loss: 1.032966, acc: 0.421875] 15038: [discriminator loss: 0.574838, acc: 0.734375] [adversarial loss: 1.235121, acc: 0.218750] 15039: [discriminator loss: 0.557337, acc: 0.695312] [adversarial loss: 1.175714, acc: 0.156250] 15040: [discriminator loss: 0.576858, acc: 0.679688] [adversarial loss: 1.290387, acc: 0.187500] 15041: [discriminator loss: 0.584894, acc: 0.679688] [adversarial loss: 1.103913, acc: 0.203125] 15042: [discriminator loss: 0.594998, acc: 0.687500] [adversarial loss: 0.875125, acc: 0.453125] 15043: [discriminator loss: 0.582043, acc: 0.726562] [adversarial loss: 1.246188, acc: 0.250000] 15044: [discriminator loss: 0.557065, acc: 0.710938] [adversarial loss: 1.025980, acc: 0.281250] 15045: [discriminator loss: 0.516601, acc: 0.750000] [adversarial loss: 0.876051, acc: 0.468750] 15046: [discriminator loss: 0.587961, acc: 0.695312] [adversarial loss: 1.515846, acc: 0.140625] 15047: [discriminator loss: 0.613374, acc: 0.656250] [adversarial loss: 0.804389, acc: 0.531250] 15048: [discriminator loss: 0.626155, acc: 0.601562] [adversarial loss: 1.593237, acc: 0.046875] 15049: [discriminator loss: 0.615623, acc: 0.679688] [adversarial loss: 0.852633, acc: 0.500000] 15050: [discriminator loss: 0.526020, acc: 0.718750] [adversarial loss: 1.259363, acc: 0.203125] 15051: [discriminator loss: 0.556183, acc: 0.734375] [adversarial loss: 0.950647, acc: 0.406250] 15052: [discriminator loss: 0.576051, acc: 0.710938] [adversarial loss: 1.318774, acc: 0.218750] 15053: [discriminator loss: 0.609001, acc: 0.625000] [adversarial loss: 1.055445, acc: 0.312500] 15054: [discriminator loss: 0.582340, acc: 0.695312] [adversarial loss: 1.309102, acc: 0.187500] 15055: [discriminator loss: 0.549578, acc: 0.710938] [adversarial loss: 0.933485, acc: 0.453125] 15056: [discriminator loss: 0.545860, acc: 0.750000] [adversarial loss: 1.474219, acc: 0.156250] 15057: [discriminator loss: 0.588675, acc: 0.687500] [adversarial loss: 0.948350, acc: 0.375000] 15058: [discriminator loss: 0.552793, acc: 0.703125] [adversarial loss: 1.316327, acc: 0.109375] 15059: [discriminator loss: 0.547299, acc: 0.710938] [adversarial loss: 0.927497, acc: 0.375000] 15060: [discriminator loss: 0.539485, acc: 0.710938] [adversarial loss: 1.359963, acc: 0.156250] 15061: [discriminator loss: 0.593368, acc: 0.625000] [adversarial loss: 0.922544, acc: 0.328125] 15062: [discriminator loss: 0.513518, acc: 0.750000] [adversarial loss: 1.267734, acc: 0.109375] 15063: [discriminator loss: 0.600291, acc: 0.625000] [adversarial loss: 1.139927, acc: 0.312500] 15064: [discriminator loss: 0.552584, acc: 0.703125] [adversarial loss: 0.868212, acc: 0.484375] 15065: [discriminator loss: 0.589586, acc: 0.687500] [adversarial loss: 1.172590, acc: 0.218750] 15066: [discriminator loss: 0.503024, acc: 0.796875] [adversarial loss: 1.068685, acc: 0.375000] 15067: [discriminator loss: 0.542481, acc: 0.703125] [adversarial loss: 1.195879, acc: 0.281250] 15068: [discriminator loss: 0.531009, acc: 0.742188] [adversarial loss: 1.139175, acc: 0.265625] 15069: [discriminator loss: 0.574752, acc: 0.718750] [adversarial loss: 1.532738, acc: 0.062500] 15070: [discriminator loss: 0.588841, acc: 0.632812] [adversarial loss: 0.825482, acc: 0.484375] 15071: [discriminator loss: 0.522187, acc: 0.789062] [adversarial loss: 1.208533, acc: 0.250000] 15072: [discriminator loss: 0.469434, acc: 0.796875] [adversarial loss: 1.078808, acc: 0.265625] 15073: [discriminator loss: 0.530995, acc: 0.726562] [adversarial loss: 1.643396, acc: 0.109375] 15074: [discriminator loss: 0.544845, acc: 0.687500] [adversarial loss: 0.591683, acc: 0.718750] 15075: [discriminator loss: 0.634931, acc: 0.664062] [adversarial loss: 1.694314, acc: 0.031250] 15076: [discriminator loss: 0.583378, acc: 0.671875] [adversarial loss: 1.062332, acc: 0.375000] 15077: [discriminator loss: 0.552191, acc: 0.687500] [adversarial loss: 1.179878, acc: 0.328125] 15078: [discriminator loss: 0.512984, acc: 0.742188] [adversarial loss: 1.237050, acc: 0.281250] 15079: [discriminator loss: 0.570787, acc: 0.718750] [adversarial loss: 1.177245, acc: 0.281250] 15080: [discriminator loss: 0.584391, acc: 0.726562] [adversarial loss: 1.123693, acc: 0.281250] 15081: [discriminator loss: 0.588949, acc: 0.679688] [adversarial loss: 1.056631, acc: 0.296875] 15082: [discriminator loss: 0.501881, acc: 0.750000] [adversarial loss: 1.393904, acc: 0.250000] 15083: [discriminator loss: 0.546805, acc: 0.726562] [adversarial loss: 0.884264, acc: 0.437500] 15084: [discriminator loss: 0.587948, acc: 0.718750] [adversarial loss: 1.462734, acc: 0.187500] 15085: [discriminator loss: 0.590883, acc: 0.648438] [adversarial loss: 0.862573, acc: 0.421875] 15086: [discriminator loss: 0.545304, acc: 0.703125] [adversarial loss: 1.213696, acc: 0.156250] 15087: [discriminator loss: 0.525879, acc: 0.742188] [adversarial loss: 0.962241, acc: 0.375000] 15088: [discriminator loss: 0.608009, acc: 0.664062] [adversarial loss: 1.293521, acc: 0.203125] 15089: [discriminator loss: 0.568684, acc: 0.703125] [adversarial loss: 0.910216, acc: 0.484375] 15090: [discriminator loss: 0.496042, acc: 0.718750] [adversarial loss: 1.213346, acc: 0.234375] 15091: [discriminator loss: 0.497554, acc: 0.757812] [adversarial loss: 0.990519, acc: 0.421875] 15092: [discriminator loss: 0.511526, acc: 0.781250] [adversarial loss: 1.323434, acc: 0.187500] 15093: [discriminator loss: 0.566862, acc: 0.703125] [adversarial loss: 1.123728, acc: 0.234375] 15094: [discriminator loss: 0.481910, acc: 0.757812] [adversarial loss: 1.397423, acc: 0.109375] 15095: [discriminator loss: 0.571285, acc: 0.687500] [adversarial loss: 1.027693, acc: 0.328125] 15096: [discriminator loss: 0.571466, acc: 0.679688] [adversarial loss: 1.144019, acc: 0.359375] 15097: [discriminator loss: 0.532393, acc: 0.765625] [adversarial loss: 1.485864, acc: 0.109375] 15098: [discriminator loss: 0.537357, acc: 0.734375] [adversarial loss: 0.768773, acc: 0.562500] 15099: [discriminator loss: 0.572407, acc: 0.695312] [adversarial loss: 1.724280, acc: 0.046875] 15100: [discriminator loss: 0.630569, acc: 0.679688] [adversarial loss: 0.868002, acc: 0.531250] 15101: [discriminator loss: 0.535151, acc: 0.718750] [adversarial loss: 1.375490, acc: 0.140625] 15102: [discriminator loss: 0.550219, acc: 0.726562] [adversarial loss: 1.134466, acc: 0.156250] 15103: [discriminator loss: 0.526540, acc: 0.734375] [adversarial loss: 1.115487, acc: 0.250000] 15104: [discriminator loss: 0.539856, acc: 0.726562] [adversarial loss: 1.183818, acc: 0.312500] 15105: [discriminator loss: 0.549758, acc: 0.671875] [adversarial loss: 1.470407, acc: 0.156250] 15106: [discriminator loss: 0.571839, acc: 0.750000] [adversarial loss: 0.982418, acc: 0.359375] 15107: [discriminator loss: 0.550859, acc: 0.710938] [adversarial loss: 0.923917, acc: 0.421875] 15108: [discriminator loss: 0.488219, acc: 0.773438] [adversarial loss: 1.330083, acc: 0.109375] 15109: [discriminator loss: 0.595183, acc: 0.664062] [adversarial loss: 1.124522, acc: 0.312500] 15110: [discriminator loss: 0.552561, acc: 0.742188] [adversarial loss: 1.324812, acc: 0.171875] 15111: [discriminator loss: 0.545847, acc: 0.679688] [adversarial loss: 0.955314, acc: 0.343750] 15112: [discriminator loss: 0.625855, acc: 0.656250] [adversarial loss: 1.385255, acc: 0.187500] 15113: [discriminator loss: 0.614954, acc: 0.640625] [adversarial loss: 0.903568, acc: 0.421875] 15114: [discriminator loss: 0.535714, acc: 0.734375] [adversarial loss: 1.710167, acc: 0.078125] 15115: [discriminator loss: 0.636582, acc: 0.632812] [adversarial loss: 0.991178, acc: 0.296875] 15116: [discriminator loss: 0.567444, acc: 0.679688] [adversarial loss: 1.444555, acc: 0.078125] 15117: [discriminator loss: 0.622028, acc: 0.664062] [adversarial loss: 1.099582, acc: 0.312500] 15118: [discriminator loss: 0.606162, acc: 0.687500] [adversarial loss: 1.407976, acc: 0.171875] 15119: [discriminator loss: 0.568017, acc: 0.695312] [adversarial loss: 0.969563, acc: 0.375000] 15120: [discriminator loss: 0.508968, acc: 0.742188] [adversarial loss: 1.237036, acc: 0.234375] 15121: [discriminator loss: 0.577575, acc: 0.695312] [adversarial loss: 1.296398, acc: 0.156250] 15122: [discriminator loss: 0.522653, acc: 0.757812] [adversarial loss: 0.961088, acc: 0.375000] 15123: [discriminator loss: 0.558299, acc: 0.679688] [adversarial loss: 1.388541, acc: 0.156250] 15124: [discriminator loss: 0.534727, acc: 0.726562] [adversarial loss: 0.725564, acc: 0.578125] 15125: [discriminator loss: 0.591219, acc: 0.695312] [adversarial loss: 1.657814, acc: 0.078125] 15126: [discriminator loss: 0.531017, acc: 0.687500] [adversarial loss: 1.024252, acc: 0.328125] 15127: [discriminator loss: 0.515121, acc: 0.757812] [adversarial loss: 1.144088, acc: 0.312500] 15128: [discriminator loss: 0.573412, acc: 0.671875] [adversarial loss: 0.912746, acc: 0.468750] 15129: [discriminator loss: 0.521301, acc: 0.726562] [adversarial loss: 1.448506, acc: 0.140625] 15130: [discriminator loss: 0.502238, acc: 0.773438] [adversarial loss: 0.986838, acc: 0.359375] 15131: [discriminator loss: 0.555665, acc: 0.695312] [adversarial loss: 1.084503, acc: 0.250000] 15132: [discriminator loss: 0.596149, acc: 0.648438] [adversarial loss: 1.162000, acc: 0.250000] 15133: [discriminator loss: 0.586756, acc: 0.648438] [adversarial loss: 1.324359, acc: 0.218750] 15134: [discriminator loss: 0.568915, acc: 0.695312] [adversarial loss: 0.882244, acc: 0.406250] 15135: [discriminator loss: 0.544798, acc: 0.773438] [adversarial loss: 1.394681, acc: 0.156250] 15136: [discriminator loss: 0.481817, acc: 0.726562] [adversarial loss: 0.807721, acc: 0.500000] 15137: [discriminator loss: 0.621249, acc: 0.679688] [adversarial loss: 1.545598, acc: 0.093750] 15138: [discriminator loss: 0.515244, acc: 0.742188] [adversarial loss: 0.984829, acc: 0.343750] 15139: [discriminator loss: 0.570374, acc: 0.726562] [adversarial loss: 1.312891, acc: 0.203125] 15140: [discriminator loss: 0.596768, acc: 0.648438] [adversarial loss: 1.021215, acc: 0.359375] 15141: [discriminator loss: 0.537032, acc: 0.695312] [adversarial loss: 1.017942, acc: 0.390625] 15142: [discriminator loss: 0.504241, acc: 0.710938] [adversarial loss: 1.452440, acc: 0.140625] 15143: [discriminator loss: 0.654794, acc: 0.656250] [adversarial loss: 1.164422, acc: 0.296875] 15144: [discriminator loss: 0.625239, acc: 0.632812] [adversarial loss: 1.501087, acc: 0.125000] 15145: [discriminator loss: 0.614801, acc: 0.703125] [adversarial loss: 0.838791, acc: 0.453125] 15146: [discriminator loss: 0.570869, acc: 0.679688] [adversarial loss: 1.535326, acc: 0.078125] 15147: [discriminator loss: 0.641817, acc: 0.617188] [adversarial loss: 0.749048, acc: 0.562500] 15148: [discriminator loss: 0.585470, acc: 0.687500] [adversarial loss: 1.366060, acc: 0.125000] 15149: [discriminator loss: 0.548987, acc: 0.671875] [adversarial loss: 0.871481, acc: 0.390625] 15150: [discriminator loss: 0.567192, acc: 0.710938] [adversarial loss: 1.106891, acc: 0.250000] 15151: [discriminator loss: 0.548143, acc: 0.726562] [adversarial loss: 1.204090, acc: 0.265625] 15152: [discriminator loss: 0.549159, acc: 0.726562] [adversarial loss: 0.904965, acc: 0.406250] 15153: [discriminator loss: 0.600453, acc: 0.703125] [adversarial loss: 1.019078, acc: 0.296875] 15154: [discriminator loss: 0.518524, acc: 0.765625] [adversarial loss: 1.339021, acc: 0.156250] 15155: [discriminator loss: 0.537678, acc: 0.734375] [adversarial loss: 1.074855, acc: 0.265625] 15156: [discriminator loss: 0.578505, acc: 0.679688] [adversarial loss: 0.902051, acc: 0.359375] 15157: [discriminator loss: 0.478977, acc: 0.773438] [adversarial loss: 1.201494, acc: 0.265625] 15158: [discriminator loss: 0.520752, acc: 0.773438] [adversarial loss: 1.134182, acc: 0.250000] 15159: [discriminator loss: 0.572748, acc: 0.664062] [adversarial loss: 1.347702, acc: 0.140625] 15160: [discriminator loss: 0.588956, acc: 0.671875] [adversarial loss: 0.843152, acc: 0.500000] 15161: [discriminator loss: 0.485299, acc: 0.742188] [adversarial loss: 1.377229, acc: 0.156250] 15162: [discriminator loss: 0.561257, acc: 0.664062] [adversarial loss: 1.172112, acc: 0.265625] 15163: [discriminator loss: 0.543712, acc: 0.695312] [adversarial loss: 1.171476, acc: 0.328125] 15164: [discriminator loss: 0.564772, acc: 0.664062] [adversarial loss: 1.453111, acc: 0.187500] 15165: [discriminator loss: 0.542107, acc: 0.757812] [adversarial loss: 0.952242, acc: 0.453125] 15166: [discriminator loss: 0.608838, acc: 0.679688] [adversarial loss: 1.328074, acc: 0.265625] 15167: [discriminator loss: 0.654080, acc: 0.679688] [adversarial loss: 1.071122, acc: 0.203125] 15168: [discriminator loss: 0.543589, acc: 0.734375] [adversarial loss: 1.242879, acc: 0.312500] 15169: [discriminator loss: 0.520730, acc: 0.765625] [adversarial loss: 1.122848, acc: 0.187500] 15170: [discriminator loss: 0.635904, acc: 0.679688] [adversarial loss: 1.492278, acc: 0.093750] 15171: [discriminator loss: 0.498857, acc: 0.718750] [adversarial loss: 0.969976, acc: 0.406250] 15172: [discriminator loss: 0.508203, acc: 0.750000] [adversarial loss: 1.748027, acc: 0.140625] 15173: [discriminator loss: 0.635261, acc: 0.648438] [adversarial loss: 0.750497, acc: 0.531250] 15174: [discriminator loss: 0.558282, acc: 0.757812] [adversarial loss: 1.405009, acc: 0.125000] 15175: [discriminator loss: 0.482587, acc: 0.796875] [adversarial loss: 1.190020, acc: 0.265625] 15176: [discriminator loss: 0.557380, acc: 0.710938] [adversarial loss: 1.302397, acc: 0.171875] 15177: [discriminator loss: 0.505223, acc: 0.734375] [adversarial loss: 1.006757, acc: 0.390625] 15178: [discriminator loss: 0.492488, acc: 0.742188] [adversarial loss: 1.260543, acc: 0.203125] 15179: [discriminator loss: 0.494033, acc: 0.742188] [adversarial loss: 1.252203, acc: 0.250000] 15180: [discriminator loss: 0.556170, acc: 0.679688] [adversarial loss: 1.126260, acc: 0.281250] 15181: [discriminator loss: 0.587593, acc: 0.726562] [adversarial loss: 1.454637, acc: 0.125000] 15182: [discriminator loss: 0.605677, acc: 0.710938] [adversarial loss: 0.950822, acc: 0.437500] 15183: [discriminator loss: 0.578158, acc: 0.718750] [adversarial loss: 1.137703, acc: 0.281250] 15184: [discriminator loss: 0.561896, acc: 0.710938] [adversarial loss: 1.438049, acc: 0.187500] 15185: [discriminator loss: 0.531451, acc: 0.718750] [adversarial loss: 0.977704, acc: 0.359375] 15186: [discriminator loss: 0.594864, acc: 0.656250] [adversarial loss: 0.934218, acc: 0.375000] 15187: [discriminator loss: 0.555400, acc: 0.734375] [adversarial loss: 1.302700, acc: 0.125000] 15188: [discriminator loss: 0.601423, acc: 0.679688] [adversarial loss: 1.038741, acc: 0.281250] 15189: [discriminator loss: 0.600734, acc: 0.679688] [adversarial loss: 1.178666, acc: 0.171875] 15190: [discriminator loss: 0.538399, acc: 0.718750] [adversarial loss: 1.231142, acc: 0.281250] 15191: [discriminator loss: 0.508292, acc: 0.757812] [adversarial loss: 1.211334, acc: 0.250000] 15192: [discriminator loss: 0.577303, acc: 0.679688] [adversarial loss: 1.010970, acc: 0.312500] 15193: [discriminator loss: 0.535897, acc: 0.718750] [adversarial loss: 1.440571, acc: 0.093750] 15194: [discriminator loss: 0.600717, acc: 0.632812] [adversarial loss: 0.703605, acc: 0.656250] 15195: [discriminator loss: 0.601454, acc: 0.664062] [adversarial loss: 1.342331, acc: 0.156250] 15196: [discriminator loss: 0.499782, acc: 0.804688] [adversarial loss: 0.999266, acc: 0.421875] 15197: [discriminator loss: 0.674422, acc: 0.640625] [adversarial loss: 1.527369, acc: 0.140625] 15198: [discriminator loss: 0.517322, acc: 0.734375] [adversarial loss: 0.688494, acc: 0.640625] 15199: [discriminator loss: 0.522627, acc: 0.742188] [adversarial loss: 1.642724, acc: 0.125000] 15200: [discriminator loss: 0.515686, acc: 0.734375] [adversarial loss: 0.862941, acc: 0.421875] 15201: [discriminator loss: 0.546473, acc: 0.734375] [adversarial loss: 1.404279, acc: 0.140625] 15202: [discriminator loss: 0.592642, acc: 0.617188] [adversarial loss: 0.928740, acc: 0.453125] 15203: [discriminator loss: 0.629778, acc: 0.664062] [adversarial loss: 1.189654, acc: 0.250000] 15204: [discriminator loss: 0.494332, acc: 0.750000] [adversarial loss: 1.204101, acc: 0.187500] 15205: [discriminator loss: 0.545339, acc: 0.679688] [adversarial loss: 0.900688, acc: 0.421875] 15206: [discriminator loss: 0.527393, acc: 0.726562] [adversarial loss: 1.194058, acc: 0.265625] 15207: [discriminator loss: 0.542544, acc: 0.679688] [adversarial loss: 0.899871, acc: 0.406250] 15208: [discriminator loss: 0.571744, acc: 0.703125] [adversarial loss: 1.138300, acc: 0.375000] 15209: [discriminator loss: 0.526740, acc: 0.734375] [adversarial loss: 1.259476, acc: 0.265625] 15210: [discriminator loss: 0.534717, acc: 0.710938] [adversarial loss: 1.229254, acc: 0.218750] 15211: [discriminator loss: 0.580574, acc: 0.695312] [adversarial loss: 1.306601, acc: 0.140625] 15212: [discriminator loss: 0.545364, acc: 0.742188] [adversarial loss: 0.987354, acc: 0.343750] 15213: [discriminator loss: 0.603508, acc: 0.656250] [adversarial loss: 1.495547, acc: 0.125000] 15214: [discriminator loss: 0.572099, acc: 0.640625] [adversarial loss: 0.730967, acc: 0.515625] 15215: [discriminator loss: 0.590703, acc: 0.695312] [adversarial loss: 1.354758, acc: 0.140625] 15216: [discriminator loss: 0.595186, acc: 0.656250] [adversarial loss: 1.140386, acc: 0.265625] 15217: [discriminator loss: 0.463316, acc: 0.765625] [adversarial loss: 1.386708, acc: 0.250000] 15218: [discriminator loss: 0.507601, acc: 0.710938] [adversarial loss: 1.214671, acc: 0.218750] 15219: [discriminator loss: 0.504713, acc: 0.765625] [adversarial loss: 1.165845, acc: 0.218750] 15220: [discriminator loss: 0.541946, acc: 0.703125] [adversarial loss: 1.077949, acc: 0.265625] 15221: [discriminator loss: 0.554982, acc: 0.734375] [adversarial loss: 1.114852, acc: 0.265625] 15222: [discriminator loss: 0.468104, acc: 0.765625] [adversarial loss: 1.235052, acc: 0.234375] 15223: [discriminator loss: 0.495759, acc: 0.773438] [adversarial loss: 0.819828, acc: 0.437500] 15224: [discriminator loss: 0.605031, acc: 0.687500] [adversarial loss: 1.631457, acc: 0.109375] 15225: [discriminator loss: 0.584722, acc: 0.671875] [adversarial loss: 0.825899, acc: 0.390625] 15226: [discriminator loss: 0.556522, acc: 0.742188] [adversarial loss: 1.245470, acc: 0.171875] 15227: [discriminator loss: 0.579277, acc: 0.687500] [adversarial loss: 0.855895, acc: 0.453125] 15228: [discriminator loss: 0.531812, acc: 0.742188] [adversarial loss: 1.304172, acc: 0.156250] 15229: [discriminator loss: 0.571834, acc: 0.726562] [adversarial loss: 0.855975, acc: 0.484375] 15230: [discriminator loss: 0.576095, acc: 0.710938] [adversarial loss: 1.534601, acc: 0.125000] 15231: [discriminator loss: 0.560441, acc: 0.710938] [adversarial loss: 0.804850, acc: 0.468750] 15232: [discriminator loss: 0.533967, acc: 0.718750] [adversarial loss: 1.564566, acc: 0.078125] 15233: [discriminator loss: 0.563516, acc: 0.695312] [adversarial loss: 0.676538, acc: 0.609375] 15234: [discriminator loss: 0.584776, acc: 0.726562] [adversarial loss: 1.371372, acc: 0.156250] 15235: [discriminator loss: 0.553370, acc: 0.679688] [adversarial loss: 0.960549, acc: 0.390625] 15236: [discriminator loss: 0.533304, acc: 0.742188] [adversarial loss: 1.250659, acc: 0.218750] 15237: [discriminator loss: 0.537038, acc: 0.742188] [adversarial loss: 0.910184, acc: 0.437500] 15238: [discriminator loss: 0.558136, acc: 0.687500] [adversarial loss: 1.125654, acc: 0.328125] 15239: [discriminator loss: 0.559752, acc: 0.687500] [adversarial loss: 1.278711, acc: 0.203125] 15240: [discriminator loss: 0.546698, acc: 0.734375] [adversarial loss: 1.136249, acc: 0.234375] 15241: [discriminator loss: 0.546453, acc: 0.734375] [adversarial loss: 1.168783, acc: 0.296875] 15242: [discriminator loss: 0.583390, acc: 0.734375] [adversarial loss: 0.853385, acc: 0.468750] 15243: [discriminator loss: 0.521256, acc: 0.742188] [adversarial loss: 1.578481, acc: 0.078125] 15244: [discriminator loss: 0.538521, acc: 0.734375] [adversarial loss: 0.846084, acc: 0.484375] 15245: [discriminator loss: 0.551683, acc: 0.710938] [adversarial loss: 1.206682, acc: 0.281250] 15246: [discriminator loss: 0.528445, acc: 0.765625] [adversarial loss: 0.913713, acc: 0.375000] 15247: [discriminator loss: 0.568237, acc: 0.757812] [adversarial loss: 1.272426, acc: 0.234375] 15248: [discriminator loss: 0.575272, acc: 0.710938] [adversarial loss: 0.707920, acc: 0.546875] 15249: [discriminator loss: 0.619076, acc: 0.656250] [adversarial loss: 1.514624, acc: 0.125000] 15250: [discriminator loss: 0.630943, acc: 0.648438] [adversarial loss: 0.873359, acc: 0.468750] 15251: [discriminator loss: 0.597306, acc: 0.679688] [adversarial loss: 1.357562, acc: 0.187500] 15252: [discriminator loss: 0.531914, acc: 0.773438] [adversarial loss: 0.995763, acc: 0.390625] 15253: [discriminator loss: 0.492915, acc: 0.765625] [adversarial loss: 1.075539, acc: 0.234375] 15254: [discriminator loss: 0.520673, acc: 0.695312] [adversarial loss: 1.425687, acc: 0.171875] 15255: [discriminator loss: 0.534691, acc: 0.718750] [adversarial loss: 1.208831, acc: 0.250000] 15256: [discriminator loss: 0.526255, acc: 0.718750] [adversarial loss: 1.180586, acc: 0.234375] 15257: [discriminator loss: 0.592952, acc: 0.664062] [adversarial loss: 0.844114, acc: 0.421875] 15258: [discriminator loss: 0.676935, acc: 0.601562] [adversarial loss: 1.524694, acc: 0.109375] 15259: [discriminator loss: 0.572759, acc: 0.718750] [adversarial loss: 0.890215, acc: 0.406250] 15260: [discriminator loss: 0.459263, acc: 0.812500] [adversarial loss: 1.436112, acc: 0.171875] 15261: [discriminator loss: 0.538986, acc: 0.718750] [adversarial loss: 0.982850, acc: 0.375000] 15262: [discriminator loss: 0.494659, acc: 0.742188] [adversarial loss: 1.254263, acc: 0.187500] 15263: [discriminator loss: 0.552022, acc: 0.687500] [adversarial loss: 1.088499, acc: 0.359375] 15264: [discriminator loss: 0.517891, acc: 0.734375] [adversarial loss: 1.204283, acc: 0.218750] 15265: [discriminator loss: 0.623461, acc: 0.671875] [adversarial loss: 0.682073, acc: 0.687500] 15266: [discriminator loss: 0.673751, acc: 0.601562] [adversarial loss: 1.510446, acc: 0.078125] 15267: [discriminator loss: 0.509777, acc: 0.750000] [adversarial loss: 0.800969, acc: 0.484375] 15268: [discriminator loss: 0.530316, acc: 0.718750] [adversarial loss: 1.407211, acc: 0.218750] 15269: [discriminator loss: 0.567114, acc: 0.687500] [adversarial loss: 0.792379, acc: 0.437500] 15270: [discriminator loss: 0.582836, acc: 0.664062] [adversarial loss: 1.465354, acc: 0.203125] 15271: [discriminator loss: 0.580339, acc: 0.687500] [adversarial loss: 0.876880, acc: 0.421875] 15272: [discriminator loss: 0.542503, acc: 0.718750] [adversarial loss: 1.218016, acc: 0.234375] 15273: [discriminator loss: 0.523537, acc: 0.718750] [adversarial loss: 1.084634, acc: 0.218750] 15274: [discriminator loss: 0.522727, acc: 0.734375] [adversarial loss: 1.112388, acc: 0.265625] 15275: [discriminator loss: 0.504124, acc: 0.757812] [adversarial loss: 0.930016, acc: 0.421875] 15276: [discriminator loss: 0.558729, acc: 0.726562] [adversarial loss: 1.280041, acc: 0.187500] 15277: [discriminator loss: 0.489615, acc: 0.789062] [adversarial loss: 1.498883, acc: 0.140625] 15278: [discriminator loss: 0.573130, acc: 0.671875] [adversarial loss: 0.712914, acc: 0.578125] 15279: [discriminator loss: 0.496229, acc: 0.703125] [adversarial loss: 1.511372, acc: 0.109375] 15280: [discriminator loss: 0.588772, acc: 0.664062] [adversarial loss: 0.659405, acc: 0.640625] 15281: [discriminator loss: 0.595069, acc: 0.640625] [adversarial loss: 1.543815, acc: 0.140625] 15282: [discriminator loss: 0.611817, acc: 0.664062] [adversarial loss: 0.988791, acc: 0.406250] 15283: [discriminator loss: 0.501642, acc: 0.757812] [adversarial loss: 1.284404, acc: 0.203125] 15284: [discriminator loss: 0.513066, acc: 0.734375] [adversarial loss: 1.059696, acc: 0.265625] 15285: [discriminator loss: 0.510567, acc: 0.757812] [adversarial loss: 1.038207, acc: 0.328125] 15286: [discriminator loss: 0.553923, acc: 0.679688] [adversarial loss: 1.482329, acc: 0.187500] 15287: [discriminator loss: 0.469279, acc: 0.789062] [adversarial loss: 1.059242, acc: 0.281250] 15288: [discriminator loss: 0.518555, acc: 0.718750] [adversarial loss: 1.168706, acc: 0.312500] 15289: [discriminator loss: 0.551344, acc: 0.687500] [adversarial loss: 1.213742, acc: 0.265625] 15290: [discriminator loss: 0.553642, acc: 0.718750] [adversarial loss: 1.035863, acc: 0.265625] 15291: [discriminator loss: 0.494102, acc: 0.796875] [adversarial loss: 0.969413, acc: 0.343750] 15292: [discriminator loss: 0.502919, acc: 0.781250] [adversarial loss: 1.475104, acc: 0.171875] 15293: [discriminator loss: 0.548557, acc: 0.687500] [adversarial loss: 1.039372, acc: 0.375000] 15294: [discriminator loss: 0.557704, acc: 0.664062] [adversarial loss: 1.157143, acc: 0.312500] 15295: [discriminator loss: 0.504851, acc: 0.804688] [adversarial loss: 1.385773, acc: 0.156250] 15296: [discriminator loss: 0.534916, acc: 0.750000] [adversarial loss: 1.330012, acc: 0.234375] 15297: [discriminator loss: 0.550135, acc: 0.726562] [adversarial loss: 1.015430, acc: 0.375000] 15298: [discriminator loss: 0.546442, acc: 0.710938] [adversarial loss: 1.386596, acc: 0.140625] 15299: [discriminator loss: 0.577248, acc: 0.742188] [adversarial loss: 1.008132, acc: 0.437500] 15300: [discriminator loss: 0.560326, acc: 0.664062] [adversarial loss: 1.738482, acc: 0.125000] 15301: [discriminator loss: 0.562875, acc: 0.703125] [adversarial loss: 0.896530, acc: 0.453125] 15302: [discriminator loss: 0.575735, acc: 0.718750] [adversarial loss: 1.808735, acc: 0.062500] 15303: [discriminator loss: 0.601494, acc: 0.671875] [adversarial loss: 0.869272, acc: 0.500000] 15304: [discriminator loss: 0.527859, acc: 0.789062] [adversarial loss: 1.644984, acc: 0.125000] 15305: [discriminator loss: 0.597048, acc: 0.679688] [adversarial loss: 0.877870, acc: 0.500000] 15306: [discriminator loss: 0.568559, acc: 0.710938] [adversarial loss: 1.506135, acc: 0.093750] 15307: [discriminator loss: 0.531798, acc: 0.671875] [adversarial loss: 1.175484, acc: 0.265625] 15308: [discriminator loss: 0.596912, acc: 0.648438] [adversarial loss: 1.220888, acc: 0.296875] 15309: [discriminator loss: 0.522578, acc: 0.710938] [adversarial loss: 1.070386, acc: 0.296875] 15310: [discriminator loss: 0.472654, acc: 0.781250] [adversarial loss: 1.002089, acc: 0.390625] 15311: [discriminator loss: 0.524710, acc: 0.718750] [adversarial loss: 1.063830, acc: 0.437500] 15312: [discriminator loss: 0.526900, acc: 0.750000] [adversarial loss: 1.358701, acc: 0.218750] 15313: [discriminator loss: 0.657187, acc: 0.609375] [adversarial loss: 1.008088, acc: 0.312500] 15314: [discriminator loss: 0.516092, acc: 0.734375] [adversarial loss: 1.190593, acc: 0.140625] 15315: [discriminator loss: 0.508963, acc: 0.726562] [adversarial loss: 1.027769, acc: 0.375000] 15316: [discriminator loss: 0.527760, acc: 0.726562] [adversarial loss: 1.133781, acc: 0.250000] 15317: [discriminator loss: 0.517572, acc: 0.726562] [adversarial loss: 0.942830, acc: 0.453125] 15318: [discriminator loss: 0.553089, acc: 0.703125] [adversarial loss: 1.367635, acc: 0.171875] 15319: [discriminator loss: 0.643383, acc: 0.656250] [adversarial loss: 0.935628, acc: 0.406250] 15320: [discriminator loss: 0.541119, acc: 0.734375] [adversarial loss: 1.578493, acc: 0.062500] 15321: [discriminator loss: 0.597408, acc: 0.664062] [adversarial loss: 1.202998, acc: 0.187500] 15322: [discriminator loss: 0.520304, acc: 0.750000] [adversarial loss: 1.494371, acc: 0.156250] 15323: [discriminator loss: 0.572878, acc: 0.664062] [adversarial loss: 0.924858, acc: 0.437500] 15324: [discriminator loss: 0.517619, acc: 0.750000] [adversarial loss: 1.122411, acc: 0.250000] 15325: [discriminator loss: 0.515490, acc: 0.726562] [adversarial loss: 1.355314, acc: 0.234375] 15326: [discriminator loss: 0.557034, acc: 0.710938] [adversarial loss: 1.454140, acc: 0.140625] 15327: [discriminator loss: 0.569099, acc: 0.695312] [adversarial loss: 0.933748, acc: 0.421875] 15328: [discriminator loss: 0.529625, acc: 0.703125] [adversarial loss: 1.348639, acc: 0.203125] 15329: [discriminator loss: 0.555325, acc: 0.703125] [adversarial loss: 0.950394, acc: 0.390625] 15330: [discriminator loss: 0.579983, acc: 0.703125] [adversarial loss: 1.296844, acc: 0.171875] 15331: [discriminator loss: 0.608195, acc: 0.679688] [adversarial loss: 1.218323, acc: 0.218750] 15332: [discriminator loss: 0.490785, acc: 0.789062] [adversarial loss: 1.102003, acc: 0.343750] 15333: [discriminator loss: 0.504556, acc: 0.757812] [adversarial loss: 1.429412, acc: 0.265625] 15334: [discriminator loss: 0.542793, acc: 0.671875] [adversarial loss: 0.938952, acc: 0.484375] 15335: [discriminator loss: 0.513751, acc: 0.718750] [adversarial loss: 1.697933, acc: 0.093750] 15336: [discriminator loss: 0.596712, acc: 0.640625] [adversarial loss: 0.805109, acc: 0.515625] 15337: [discriminator loss: 0.578920, acc: 0.679688] [adversarial loss: 1.585623, acc: 0.156250] 15338: [discriminator loss: 0.536780, acc: 0.679688] [adversarial loss: 0.894608, acc: 0.359375] 15339: [discriminator loss: 0.599461, acc: 0.679688] [adversarial loss: 1.603526, acc: 0.078125] 15340: [discriminator loss: 0.548553, acc: 0.710938] [adversarial loss: 0.834879, acc: 0.531250] 15341: [discriminator loss: 0.749752, acc: 0.625000] [adversarial loss: 1.495362, acc: 0.140625] 15342: [discriminator loss: 0.571498, acc: 0.703125] [adversarial loss: 1.079122, acc: 0.312500] 15343: [discriminator loss: 0.496208, acc: 0.789062] [adversarial loss: 1.370506, acc: 0.218750] 15344: [discriminator loss: 0.574104, acc: 0.664062] [adversarial loss: 0.994634, acc: 0.328125] 15345: [discriminator loss: 0.576653, acc: 0.695312] [adversarial loss: 1.396685, acc: 0.125000] 15346: [discriminator loss: 0.575265, acc: 0.648438] [adversarial loss: 0.591126, acc: 0.656250] 15347: [discriminator loss: 0.645707, acc: 0.671875] [adversarial loss: 1.520186, acc: 0.046875] 15348: [discriminator loss: 0.524280, acc: 0.750000] [adversarial loss: 0.961294, acc: 0.375000] 15349: [discriminator loss: 0.581432, acc: 0.664062] [adversarial loss: 1.614491, acc: 0.109375] 15350: [discriminator loss: 0.530282, acc: 0.734375] [adversarial loss: 0.992453, acc: 0.359375] 15351: [discriminator loss: 0.560930, acc: 0.632812] [adversarial loss: 1.354554, acc: 0.109375] 15352: [discriminator loss: 0.531654, acc: 0.757812] [adversarial loss: 1.198684, acc: 0.250000] 15353: [discriminator loss: 0.561027, acc: 0.679688] [adversarial loss: 1.121584, acc: 0.328125] 15354: [discriminator loss: 0.573018, acc: 0.710938] [adversarial loss: 1.159002, acc: 0.250000] 15355: [discriminator loss: 0.558373, acc: 0.679688] [adversarial loss: 1.323384, acc: 0.171875] 15356: [discriminator loss: 0.525697, acc: 0.703125] [adversarial loss: 1.178102, acc: 0.296875] 15357: [discriminator loss: 0.530025, acc: 0.687500] [adversarial loss: 1.139190, acc: 0.281250] 15358: [discriminator loss: 0.570326, acc: 0.656250] [adversarial loss: 1.056542, acc: 0.343750] 15359: [discriminator loss: 0.529489, acc: 0.726562] [adversarial loss: 1.205041, acc: 0.187500] 15360: [discriminator loss: 0.570508, acc: 0.718750] [adversarial loss: 1.087615, acc: 0.281250] 15361: [discriminator loss: 0.540511, acc: 0.671875] [adversarial loss: 1.107087, acc: 0.296875] 15362: [discriminator loss: 0.571306, acc: 0.687500] [adversarial loss: 1.104905, acc: 0.281250] 15363: [discriminator loss: 0.588420, acc: 0.679688] [adversarial loss: 1.010331, acc: 0.343750] 15364: [discriminator loss: 0.530947, acc: 0.695312] [adversarial loss: 1.311182, acc: 0.218750] 15365: [discriminator loss: 0.511999, acc: 0.789062] [adversarial loss: 0.919873, acc: 0.437500] 15366: [discriminator loss: 0.523790, acc: 0.710938] [adversarial loss: 1.280122, acc: 0.218750] 15367: [discriminator loss: 0.583096, acc: 0.695312] [adversarial loss: 0.882367, acc: 0.375000] 15368: [discriminator loss: 0.561594, acc: 0.710938] [adversarial loss: 1.336260, acc: 0.187500] 15369: [discriminator loss: 0.532392, acc: 0.765625] [adversarial loss: 0.805245, acc: 0.468750] 15370: [discriminator loss: 0.539067, acc: 0.757812] [adversarial loss: 1.461430, acc: 0.093750] 15371: [discriminator loss: 0.595367, acc: 0.687500] [adversarial loss: 0.617383, acc: 0.640625] 15372: [discriminator loss: 0.598414, acc: 0.718750] [adversarial loss: 1.441843, acc: 0.171875] 15373: [discriminator loss: 0.575245, acc: 0.695312] [adversarial loss: 0.943003, acc: 0.359375] 15374: [discriminator loss: 0.581148, acc: 0.734375] [adversarial loss: 1.536035, acc: 0.109375] 15375: [discriminator loss: 0.539165, acc: 0.742188] [adversarial loss: 0.851161, acc: 0.421875] 15376: [discriminator loss: 0.573416, acc: 0.710938] [adversarial loss: 1.256180, acc: 0.234375] 15377: [discriminator loss: 0.600577, acc: 0.593750] [adversarial loss: 0.899346, acc: 0.421875] 15378: [discriminator loss: 0.547543, acc: 0.718750] [adversarial loss: 0.926945, acc: 0.390625] 15379: [discriminator loss: 0.588555, acc: 0.679688] [adversarial loss: 1.028853, acc: 0.453125] 15380: [discriminator loss: 0.618236, acc: 0.664062] [adversarial loss: 1.015817, acc: 0.281250] 15381: [discriminator loss: 0.483209, acc: 0.820312] [adversarial loss: 1.385452, acc: 0.156250] 15382: [discriminator loss: 0.548711, acc: 0.734375] [adversarial loss: 1.045395, acc: 0.312500] 15383: [discriminator loss: 0.510104, acc: 0.796875] [adversarial loss: 1.650081, acc: 0.109375] 15384: [discriminator loss: 0.602887, acc: 0.640625] [adversarial loss: 0.972894, acc: 0.359375] 15385: [discriminator loss: 0.527563, acc: 0.750000] [adversarial loss: 1.112078, acc: 0.296875] 15386: [discriminator loss: 0.495944, acc: 0.742188] [adversarial loss: 1.129833, acc: 0.234375] 15387: [discriminator loss: 0.534316, acc: 0.718750] [adversarial loss: 1.230208, acc: 0.187500] 15388: [discriminator loss: 0.601979, acc: 0.664062] [adversarial loss: 0.808138, acc: 0.546875] 15389: [discriminator loss: 0.550292, acc: 0.656250] [adversarial loss: 1.173437, acc: 0.296875] 15390: [discriminator loss: 0.519115, acc: 0.726562] [adversarial loss: 1.297330, acc: 0.140625] 15391: [discriminator loss: 0.493807, acc: 0.710938] [adversarial loss: 1.147465, acc: 0.234375] 15392: [discriminator loss: 0.467203, acc: 0.773438] [adversarial loss: 1.265623, acc: 0.187500] 15393: [discriminator loss: 0.556565, acc: 0.695312] [adversarial loss: 0.979843, acc: 0.406250] 15394: [discriminator loss: 0.556705, acc: 0.726562] [adversarial loss: 1.822408, acc: 0.062500] 15395: [discriminator loss: 0.645993, acc: 0.640625] [adversarial loss: 0.742196, acc: 0.500000] 15396: [discriminator loss: 0.642402, acc: 0.617188] [adversarial loss: 1.695942, acc: 0.078125] 15397: [discriminator loss: 0.538871, acc: 0.742188] [adversarial loss: 0.952904, acc: 0.421875] 15398: [discriminator loss: 0.539747, acc: 0.757812] [adversarial loss: 1.344600, acc: 0.234375] 15399: [discriminator loss: 0.621500, acc: 0.679688] [adversarial loss: 0.906079, acc: 0.421875] 15400: [discriminator loss: 0.503964, acc: 0.765625] [adversarial loss: 1.354288, acc: 0.250000] 15401: [discriminator loss: 0.516141, acc: 0.710938] [adversarial loss: 0.850510, acc: 0.468750] 15402: [discriminator loss: 0.616859, acc: 0.656250] [adversarial loss: 1.653171, acc: 0.093750] 15403: [discriminator loss: 0.567960, acc: 0.695312] [adversarial loss: 0.688040, acc: 0.593750] 15404: [discriminator loss: 0.516735, acc: 0.773438] [adversarial loss: 1.459797, acc: 0.125000] 15405: [discriminator loss: 0.593021, acc: 0.695312] [adversarial loss: 1.100184, acc: 0.281250] 15406: [discriminator loss: 0.491156, acc: 0.781250] [adversarial loss: 1.259723, acc: 0.078125] 15407: [discriminator loss: 0.518444, acc: 0.742188] [adversarial loss: 1.163489, acc: 0.328125] 15408: [discriminator loss: 0.578738, acc: 0.664062] [adversarial loss: 1.193924, acc: 0.296875] 15409: [discriminator loss: 0.449750, acc: 0.804688] [adversarial loss: 1.155534, acc: 0.343750] 15410: [discriminator loss: 0.539032, acc: 0.718750] [adversarial loss: 1.007408, acc: 0.343750] 15411: [discriminator loss: 0.525389, acc: 0.750000] [adversarial loss: 1.519156, acc: 0.203125] 15412: [discriminator loss: 0.548121, acc: 0.710938] [adversarial loss: 1.035043, acc: 0.328125] 15413: [discriminator loss: 0.505950, acc: 0.734375] [adversarial loss: 1.793524, acc: 0.078125] 15414: [discriminator loss: 0.517418, acc: 0.695312] [adversarial loss: 0.862763, acc: 0.468750] 15415: [discriminator loss: 0.602804, acc: 0.695312] [adversarial loss: 1.482535, acc: 0.156250] 15416: [discriminator loss: 0.546987, acc: 0.671875] [adversarial loss: 0.786432, acc: 0.562500] 15417: [discriminator loss: 0.608069, acc: 0.617188] [adversarial loss: 1.230895, acc: 0.265625] 15418: [discriminator loss: 0.572274, acc: 0.679688] [adversarial loss: 1.141590, acc: 0.281250] 15419: [discriminator loss: 0.502696, acc: 0.750000] [adversarial loss: 1.178371, acc: 0.296875] 15420: [discriminator loss: 0.543553, acc: 0.703125] [adversarial loss: 1.007638, acc: 0.421875] 15421: [discriminator loss: 0.509659, acc: 0.750000] [adversarial loss: 1.344055, acc: 0.250000] 15422: [discriminator loss: 0.536578, acc: 0.703125] [adversarial loss: 1.039710, acc: 0.343750] 15423: [discriminator loss: 0.565199, acc: 0.710938] [adversarial loss: 1.731779, acc: 0.062500] 15424: [discriminator loss: 0.636744, acc: 0.664062] [adversarial loss: 0.988478, acc: 0.343750] 15425: [discriminator loss: 0.565424, acc: 0.703125] [adversarial loss: 1.617037, acc: 0.140625] 15426: [discriminator loss: 0.600458, acc: 0.640625] [adversarial loss: 0.882405, acc: 0.359375] 15427: [discriminator loss: 0.559942, acc: 0.656250] [adversarial loss: 1.172211, acc: 0.218750] 15428: [discriminator loss: 0.504645, acc: 0.757812] [adversarial loss: 1.028454, acc: 0.328125] 15429: [discriminator loss: 0.581459, acc: 0.750000] [adversarial loss: 1.294209, acc: 0.218750] 15430: [discriminator loss: 0.504561, acc: 0.726562] [adversarial loss: 1.249362, acc: 0.234375] 15431: [discriminator loss: 0.530924, acc: 0.789062] [adversarial loss: 1.353215, acc: 0.187500] 15432: [discriminator loss: 0.626425, acc: 0.648438] [adversarial loss: 0.965678, acc: 0.390625] 15433: [discriminator loss: 0.585564, acc: 0.687500] [adversarial loss: 1.487893, acc: 0.125000] 15434: [discriminator loss: 0.644783, acc: 0.609375] [adversarial loss: 0.768926, acc: 0.515625] 15435: [discriminator loss: 0.609325, acc: 0.679688] [adversarial loss: 1.641743, acc: 0.109375] 15436: [discriminator loss: 0.566085, acc: 0.679688] [adversarial loss: 0.939437, acc: 0.359375] 15437: [discriminator loss: 0.601665, acc: 0.734375] [adversarial loss: 1.468934, acc: 0.125000] 15438: [discriminator loss: 0.524660, acc: 0.710938] [adversarial loss: 1.006709, acc: 0.359375] 15439: [discriminator loss: 0.507821, acc: 0.742188] [adversarial loss: 1.290970, acc: 0.171875] 15440: [discriminator loss: 0.597593, acc: 0.656250] [adversarial loss: 0.949666, acc: 0.343750] 15441: [discriminator loss: 0.503457, acc: 0.726562] [adversarial loss: 1.406679, acc: 0.171875] 15442: [discriminator loss: 0.533905, acc: 0.718750] [adversarial loss: 1.150791, acc: 0.234375] 15443: [discriminator loss: 0.531293, acc: 0.726562] [adversarial loss: 1.450019, acc: 0.187500] 15444: [discriminator loss: 0.531675, acc: 0.703125] [adversarial loss: 0.986996, acc: 0.375000] 15445: [discriminator loss: 0.504654, acc: 0.781250] [adversarial loss: 1.253369, acc: 0.234375] 15446: [discriminator loss: 0.537782, acc: 0.710938] [adversarial loss: 1.207573, acc: 0.218750] 15447: [discriminator loss: 0.611087, acc: 0.648438] [adversarial loss: 1.059078, acc: 0.265625] 15448: [discriminator loss: 0.536914, acc: 0.718750] [adversarial loss: 1.107992, acc: 0.406250] 15449: [discriminator loss: 0.634160, acc: 0.601562] [adversarial loss: 1.510811, acc: 0.109375] 15450: [discriminator loss: 0.580437, acc: 0.726562] [adversarial loss: 0.949442, acc: 0.421875] 15451: [discriminator loss: 0.549579, acc: 0.742188] [adversarial loss: 1.223537, acc: 0.250000] 15452: [discriminator loss: 0.517394, acc: 0.734375] [adversarial loss: 0.998046, acc: 0.328125] 15453: [discriminator loss: 0.651904, acc: 0.632812] [adversarial loss: 1.214467, acc: 0.296875] 15454: [discriminator loss: 0.520538, acc: 0.734375] [adversarial loss: 1.527808, acc: 0.109375] 15455: [discriminator loss: 0.596346, acc: 0.640625] [adversarial loss: 0.829477, acc: 0.390625] 15456: [discriminator loss: 0.558380, acc: 0.710938] [adversarial loss: 1.857303, acc: 0.031250] 15457: [discriminator loss: 0.641340, acc: 0.632812] [adversarial loss: 1.050532, acc: 0.312500] 15458: [discriminator loss: 0.564247, acc: 0.726562] [adversarial loss: 1.391838, acc: 0.140625] 15459: [discriminator loss: 0.539056, acc: 0.742188] [adversarial loss: 0.664690, acc: 0.640625] 15460: [discriminator loss: 0.524407, acc: 0.742188] [adversarial loss: 1.170383, acc: 0.203125] 15461: [discriminator loss: 0.595134, acc: 0.703125] [adversarial loss: 0.970867, acc: 0.343750] 15462: [discriminator loss: 0.529330, acc: 0.750000] [adversarial loss: 1.300622, acc: 0.203125] 15463: [discriminator loss: 0.550148, acc: 0.703125] [adversarial loss: 1.020356, acc: 0.281250] 15464: [discriminator loss: 0.541361, acc: 0.718750] [adversarial loss: 1.790566, acc: 0.109375] 15465: [discriminator loss: 0.589464, acc: 0.640625] [adversarial loss: 0.860420, acc: 0.421875] 15466: [discriminator loss: 0.582637, acc: 0.726562] [adversarial loss: 1.681770, acc: 0.015625] 15467: [discriminator loss: 0.591207, acc: 0.648438] [adversarial loss: 0.939930, acc: 0.406250] 15468: [discriminator loss: 0.552791, acc: 0.687500] [adversarial loss: 1.513317, acc: 0.156250] 15469: [discriminator loss: 0.571489, acc: 0.703125] [adversarial loss: 1.062506, acc: 0.265625] 15470: [discriminator loss: 0.546493, acc: 0.750000] [adversarial loss: 1.271956, acc: 0.171875] 15471: [discriminator loss: 0.576069, acc: 0.718750] [adversarial loss: 1.038969, acc: 0.328125] 15472: [discriminator loss: 0.526224, acc: 0.718750] [adversarial loss: 1.474478, acc: 0.109375] 15473: [discriminator loss: 0.603576, acc: 0.632812] [adversarial loss: 0.866743, acc: 0.453125] 15474: [discriminator loss: 0.576399, acc: 0.687500] [adversarial loss: 1.619527, acc: 0.109375] 15475: [discriminator loss: 0.655338, acc: 0.632812] [adversarial loss: 0.991669, acc: 0.343750] 15476: [discriminator loss: 0.481716, acc: 0.765625] [adversarial loss: 1.150016, acc: 0.250000] 15477: [discriminator loss: 0.518544, acc: 0.757812] [adversarial loss: 1.143927, acc: 0.265625] 15478: [discriminator loss: 0.518842, acc: 0.710938] [adversarial loss: 0.903501, acc: 0.500000] 15479: [discriminator loss: 0.555441, acc: 0.703125] [adversarial loss: 1.256567, acc: 0.250000] 15480: [discriminator loss: 0.557951, acc: 0.710938] [adversarial loss: 1.281170, acc: 0.250000] 15481: [discriminator loss: 0.583829, acc: 0.687500] [adversarial loss: 1.130001, acc: 0.281250] 15482: [discriminator loss: 0.602631, acc: 0.671875] [adversarial loss: 1.245804, acc: 0.156250] 15483: [discriminator loss: 0.547362, acc: 0.726562] [adversarial loss: 1.005422, acc: 0.328125] 15484: [discriminator loss: 0.564543, acc: 0.710938] [adversarial loss: 1.448340, acc: 0.109375] 15485: [discriminator loss: 0.529315, acc: 0.726562] [adversarial loss: 1.153142, acc: 0.265625] 15486: [discriminator loss: 0.573901, acc: 0.671875] [adversarial loss: 1.396963, acc: 0.109375] 15487: [discriminator loss: 0.491188, acc: 0.718750] [adversarial loss: 0.942809, acc: 0.375000] 15488: [discriminator loss: 0.571282, acc: 0.679688] [adversarial loss: 1.308508, acc: 0.203125] 15489: [discriminator loss: 0.508717, acc: 0.742188] [adversarial loss: 1.136507, acc: 0.234375] 15490: [discriminator loss: 0.553721, acc: 0.718750] [adversarial loss: 1.140337, acc: 0.265625] 15491: [discriminator loss: 0.615519, acc: 0.671875] [adversarial loss: 1.278440, acc: 0.187500] 15492: [discriminator loss: 0.533190, acc: 0.718750] [adversarial loss: 1.070139, acc: 0.406250] 15493: [discriminator loss: 0.534660, acc: 0.734375] [adversarial loss: 1.318604, acc: 0.171875] 15494: [discriminator loss: 0.522084, acc: 0.726562] [adversarial loss: 0.855937, acc: 0.484375] 15495: [discriminator loss: 0.557374, acc: 0.695312] [adversarial loss: 1.479579, acc: 0.156250] 15496: [discriminator loss: 0.562156, acc: 0.687500] [adversarial loss: 0.802285, acc: 0.390625] 15497: [discriminator loss: 0.504035, acc: 0.726562] [adversarial loss: 1.565154, acc: 0.093750] 15498: [discriminator loss: 0.569909, acc: 0.710938] [adversarial loss: 0.825230, acc: 0.375000] 15499: [discriminator loss: 0.576089, acc: 0.664062] [adversarial loss: 1.627025, acc: 0.093750] 15500: [discriminator loss: 0.542378, acc: 0.703125] [adversarial loss: 1.044633, acc: 0.281250] 15501: [discriminator loss: 0.455359, acc: 0.796875] [adversarial loss: 1.307174, acc: 0.203125] 15502: [discriminator loss: 0.546736, acc: 0.726562] [adversarial loss: 1.164599, acc: 0.375000] 15503: [discriminator loss: 0.475216, acc: 0.789062] [adversarial loss: 1.318380, acc: 0.187500] 15504: [discriminator loss: 0.536096, acc: 0.695312] [adversarial loss: 0.902716, acc: 0.437500] 15505: [discriminator loss: 0.511372, acc: 0.703125] [adversarial loss: 1.236626, acc: 0.234375] 15506: [discriminator loss: 0.526781, acc: 0.710938] [adversarial loss: 0.992984, acc: 0.359375] 15507: [discriminator loss: 0.526150, acc: 0.742188] [adversarial loss: 1.487319, acc: 0.125000] 15508: [discriminator loss: 0.585110, acc: 0.664062] [adversarial loss: 1.075896, acc: 0.234375] 15509: [discriminator loss: 0.542168, acc: 0.710938] [adversarial loss: 1.109939, acc: 0.265625] 15510: [discriminator loss: 0.585414, acc: 0.640625] [adversarial loss: 0.917775, acc: 0.421875] 15511: [discriminator loss: 0.553416, acc: 0.710938] [adversarial loss: 1.500303, acc: 0.171875] 15512: [discriminator loss: 0.503613, acc: 0.703125] [adversarial loss: 0.812998, acc: 0.546875] 15513: [discriminator loss: 0.590892, acc: 0.734375] [adversarial loss: 1.674222, acc: 0.031250] 15514: [discriminator loss: 0.671007, acc: 0.601562] [adversarial loss: 0.736390, acc: 0.546875] 15515: [discriminator loss: 0.709704, acc: 0.578125] [adversarial loss: 1.380659, acc: 0.171875] 15516: [discriminator loss: 0.543665, acc: 0.718750] [adversarial loss: 1.009134, acc: 0.265625] 15517: [discriminator loss: 0.515400, acc: 0.781250] [adversarial loss: 1.251694, acc: 0.187500] 15518: [discriminator loss: 0.566267, acc: 0.703125] [adversarial loss: 0.739361, acc: 0.453125] 15519: [discriminator loss: 0.605090, acc: 0.656250] [adversarial loss: 1.283747, acc: 0.203125] 15520: [discriminator loss: 0.532085, acc: 0.687500] [adversarial loss: 0.938373, acc: 0.437500] 15521: [discriminator loss: 0.547046, acc: 0.664062] [adversarial loss: 1.407428, acc: 0.078125] 15522: [discriminator loss: 0.546328, acc: 0.703125] [adversarial loss: 1.057507, acc: 0.343750] 15523: [discriminator loss: 0.510283, acc: 0.773438] [adversarial loss: 1.179587, acc: 0.187500] 15524: [discriminator loss: 0.506317, acc: 0.742188] [adversarial loss: 1.220964, acc: 0.218750] 15525: [discriminator loss: 0.540461, acc: 0.726562] [adversarial loss: 1.044641, acc: 0.281250] 15526: [discriminator loss: 0.590445, acc: 0.703125] [adversarial loss: 1.133355, acc: 0.296875] 15527: [discriminator loss: 0.459768, acc: 0.789062] [adversarial loss: 1.156755, acc: 0.281250] 15528: [discriminator loss: 0.500760, acc: 0.757812] [adversarial loss: 1.299973, acc: 0.265625] 15529: [discriminator loss: 0.592020, acc: 0.679688] [adversarial loss: 1.036376, acc: 0.281250] 15530: [discriminator loss: 0.523556, acc: 0.726562] [adversarial loss: 1.409220, acc: 0.140625] 15531: [discriminator loss: 0.574250, acc: 0.695312] [adversarial loss: 0.727804, acc: 0.531250] 15532: [discriminator loss: 0.572457, acc: 0.703125] [adversarial loss: 1.779735, acc: 0.062500] 15533: [discriminator loss: 0.653326, acc: 0.617188] [adversarial loss: 0.670562, acc: 0.640625] 15534: [discriminator loss: 0.499786, acc: 0.757812] [adversarial loss: 1.345697, acc: 0.250000] 15535: [discriminator loss: 0.568852, acc: 0.687500] [adversarial loss: 1.034473, acc: 0.328125] 15536: [discriminator loss: 0.562767, acc: 0.695312] [adversarial loss: 1.214893, acc: 0.265625] 15537: [discriminator loss: 0.556094, acc: 0.679688] [adversarial loss: 1.042989, acc: 0.281250] 15538: [discriminator loss: 0.542442, acc: 0.757812] [adversarial loss: 1.353155, acc: 0.187500] 15539: [discriminator loss: 0.559672, acc: 0.742188] [adversarial loss: 1.035239, acc: 0.312500] 15540: [discriminator loss: 0.582433, acc: 0.695312] [adversarial loss: 1.179525, acc: 0.296875] 15541: [discriminator loss: 0.554331, acc: 0.695312] [adversarial loss: 1.299908, acc: 0.234375] 15542: [discriminator loss: 0.530455, acc: 0.726562] [adversarial loss: 1.354258, acc: 0.250000] 15543: [discriminator loss: 0.572038, acc: 0.718750] [adversarial loss: 0.851918, acc: 0.343750] 15544: [discriminator loss: 0.500972, acc: 0.750000] [adversarial loss: 1.069857, acc: 0.328125] 15545: [discriminator loss: 0.514010, acc: 0.734375] [adversarial loss: 1.025468, acc: 0.406250] 15546: [discriminator loss: 0.598044, acc: 0.679688] [adversarial loss: 1.302827, acc: 0.156250] 15547: [discriminator loss: 0.532938, acc: 0.734375] [adversarial loss: 1.122779, acc: 0.250000] 15548: [discriminator loss: 0.498512, acc: 0.789062] [adversarial loss: 1.148456, acc: 0.281250] 15549: [discriminator loss: 0.558413, acc: 0.679688] [adversarial loss: 0.965307, acc: 0.437500] 15550: [discriminator loss: 0.564324, acc: 0.703125] [adversarial loss: 1.283508, acc: 0.218750] 15551: [discriminator loss: 0.556640, acc: 0.695312] [adversarial loss: 0.764994, acc: 0.468750] 15552: [discriminator loss: 0.531612, acc: 0.796875] [adversarial loss: 1.509965, acc: 0.109375] 15553: [discriminator loss: 0.571667, acc: 0.679688] [adversarial loss: 0.839258, acc: 0.453125] 15554: [discriminator loss: 0.581144, acc: 0.695312] [adversarial loss: 1.574400, acc: 0.140625] 15555: [discriminator loss: 0.547333, acc: 0.718750] [adversarial loss: 0.918371, acc: 0.390625] 15556: [discriminator loss: 0.535659, acc: 0.703125] [adversarial loss: 1.551009, acc: 0.109375] 15557: [discriminator loss: 0.640264, acc: 0.609375] [adversarial loss: 0.932436, acc: 0.390625] 15558: [discriminator loss: 0.550105, acc: 0.695312] [adversarial loss: 1.348012, acc: 0.140625] 15559: [discriminator loss: 0.558022, acc: 0.726562] [adversarial loss: 0.926282, acc: 0.406250] 15560: [discriminator loss: 0.564089, acc: 0.703125] [adversarial loss: 1.495800, acc: 0.109375] 15561: [discriminator loss: 0.535354, acc: 0.703125] [adversarial loss: 1.010242, acc: 0.375000] 15562: [discriminator loss: 0.555540, acc: 0.687500] [adversarial loss: 1.173078, acc: 0.265625] 15563: [discriminator loss: 0.556978, acc: 0.640625] [adversarial loss: 1.018499, acc: 0.265625] 15564: [discriminator loss: 0.538480, acc: 0.710938] [adversarial loss: 1.318953, acc: 0.234375] 15565: [discriminator loss: 0.528015, acc: 0.703125] [adversarial loss: 1.011557, acc: 0.328125] 15566: [discriminator loss: 0.598826, acc: 0.656250] [adversarial loss: 1.689729, acc: 0.093750] 15567: [discriminator loss: 0.613427, acc: 0.648438] [adversarial loss: 0.663015, acc: 0.625000] 15568: [discriminator loss: 0.622671, acc: 0.695312] [adversarial loss: 1.248239, acc: 0.171875] 15569: [discriminator loss: 0.550559, acc: 0.703125] [adversarial loss: 1.182667, acc: 0.218750] 15570: [discriminator loss: 0.584981, acc: 0.718750] [adversarial loss: 1.095754, acc: 0.265625] 15571: [discriminator loss: 0.533369, acc: 0.742188] [adversarial loss: 1.281862, acc: 0.187500] 15572: [discriminator loss: 0.587194, acc: 0.695312] [adversarial loss: 1.194067, acc: 0.343750] 15573: [discriminator loss: 0.582174, acc: 0.687500] [adversarial loss: 1.366729, acc: 0.140625] 15574: [discriminator loss: 0.578019, acc: 0.625000] [adversarial loss: 0.987909, acc: 0.375000] 15575: [discriminator loss: 0.566611, acc: 0.718750] [adversarial loss: 1.594981, acc: 0.093750] 15576: [discriminator loss: 0.564179, acc: 0.656250] [adversarial loss: 0.893506, acc: 0.437500] 15577: [discriminator loss: 0.629692, acc: 0.679688] [adversarial loss: 1.501365, acc: 0.140625] 15578: [discriminator loss: 0.573935, acc: 0.710938] [adversarial loss: 0.875234, acc: 0.390625] 15579: [discriminator loss: 0.553161, acc: 0.703125] [adversarial loss: 1.307570, acc: 0.171875] 15580: [discriminator loss: 0.606044, acc: 0.671875] [adversarial loss: 0.870929, acc: 0.453125] 15581: [discriminator loss: 0.542577, acc: 0.687500] [adversarial loss: 1.473947, acc: 0.156250] 15582: [discriminator loss: 0.569749, acc: 0.726562] [adversarial loss: 1.036509, acc: 0.312500] 15583: [discriminator loss: 0.487111, acc: 0.789062] [adversarial loss: 1.403111, acc: 0.125000] 15584: [discriminator loss: 0.536858, acc: 0.726562] [adversarial loss: 1.185247, acc: 0.218750] 15585: [discriminator loss: 0.568961, acc: 0.703125] [adversarial loss: 1.020041, acc: 0.328125] 15586: [discriminator loss: 0.582549, acc: 0.726562] [adversarial loss: 1.235345, acc: 0.203125] 15587: [discriminator loss: 0.523480, acc: 0.671875] [adversarial loss: 1.051479, acc: 0.343750] 15588: [discriminator loss: 0.532398, acc: 0.742188] [adversarial loss: 0.978795, acc: 0.453125] 15589: [discriminator loss: 0.508732, acc: 0.750000] [adversarial loss: 1.386692, acc: 0.218750] 15590: [discriminator loss: 0.521315, acc: 0.687500] [adversarial loss: 1.015296, acc: 0.312500] 15591: [discriminator loss: 0.592812, acc: 0.695312] [adversarial loss: 1.398877, acc: 0.109375] 15592: [discriminator loss: 0.531615, acc: 0.750000] [adversarial loss: 1.269323, acc: 0.312500] 15593: [discriminator loss: 0.557767, acc: 0.710938] [adversarial loss: 0.919097, acc: 0.453125] 15594: [discriminator loss: 0.598716, acc: 0.679688] [adversarial loss: 1.732008, acc: 0.109375] 15595: [discriminator loss: 0.547172, acc: 0.703125] [adversarial loss: 0.959274, acc: 0.390625] 15596: [discriminator loss: 0.582862, acc: 0.703125] [adversarial loss: 1.549524, acc: 0.140625] 15597: [discriminator loss: 0.556290, acc: 0.703125] [adversarial loss: 0.961715, acc: 0.453125] 15598: [discriminator loss: 0.516769, acc: 0.734375] [adversarial loss: 1.233507, acc: 0.171875] 15599: [discriminator loss: 0.512971, acc: 0.750000] [adversarial loss: 0.904773, acc: 0.359375] 15600: [discriminator loss: 0.550654, acc: 0.671875] [adversarial loss: 1.411021, acc: 0.218750] 15601: [discriminator loss: 0.583350, acc: 0.679688] [adversarial loss: 0.947291, acc: 0.343750] 15602: [discriminator loss: 0.536281, acc: 0.734375] [adversarial loss: 1.498383, acc: 0.187500] 15603: [discriminator loss: 0.538873, acc: 0.695312] [adversarial loss: 0.738566, acc: 0.578125] 15604: [discriminator loss: 0.656529, acc: 0.671875] [adversarial loss: 1.646991, acc: 0.078125] 15605: [discriminator loss: 0.672921, acc: 0.617188] [adversarial loss: 0.708301, acc: 0.593750] 15606: [discriminator loss: 0.608783, acc: 0.695312] [adversarial loss: 1.251227, acc: 0.234375] 15607: [discriminator loss: 0.607734, acc: 0.656250] [adversarial loss: 0.966478, acc: 0.265625] 15608: [discriminator loss: 0.526241, acc: 0.742188] [adversarial loss: 1.367510, acc: 0.156250] 15609: [discriminator loss: 0.537848, acc: 0.718750] [adversarial loss: 1.130283, acc: 0.296875] 15610: [discriminator loss: 0.577624, acc: 0.710938] [adversarial loss: 1.095468, acc: 0.187500] 15611: [discriminator loss: 0.529282, acc: 0.773438] [adversarial loss: 1.135890, acc: 0.312500] 15612: [discriminator loss: 0.567745, acc: 0.664062] [adversarial loss: 0.899029, acc: 0.453125] 15613: [discriminator loss: 0.584076, acc: 0.671875] [adversarial loss: 1.333031, acc: 0.125000] 15614: [discriminator loss: 0.589182, acc: 0.679688] [adversarial loss: 0.827949, acc: 0.453125] 15615: [discriminator loss: 0.554337, acc: 0.695312] [adversarial loss: 1.341182, acc: 0.187500] 15616: [discriminator loss: 0.550925, acc: 0.687500] [adversarial loss: 0.914022, acc: 0.453125] 15617: [discriminator loss: 0.536086, acc: 0.726562] [adversarial loss: 1.312741, acc: 0.265625] 15618: [discriminator loss: 0.573764, acc: 0.703125] [adversarial loss: 1.092433, acc: 0.312500] 15619: [discriminator loss: 0.471887, acc: 0.757812] [adversarial loss: 1.337515, acc: 0.171875] 15620: [discriminator loss: 0.575495, acc: 0.664062] [adversarial loss: 0.910784, acc: 0.421875] 15621: [discriminator loss: 0.578383, acc: 0.695312] [adversarial loss: 1.640508, acc: 0.078125] 15622: [discriminator loss: 0.586768, acc: 0.695312] [adversarial loss: 0.890305, acc: 0.390625] 15623: [discriminator loss: 0.608346, acc: 0.664062] [adversarial loss: 1.273444, acc: 0.171875] 15624: [discriminator loss: 0.557936, acc: 0.679688] [adversarial loss: 0.968736, acc: 0.390625] 15625: [discriminator loss: 0.627902, acc: 0.617188] [adversarial loss: 1.142916, acc: 0.312500] 15626: [discriminator loss: 0.524594, acc: 0.757812] [adversarial loss: 1.236324, acc: 0.265625] 15627: [discriminator loss: 0.498756, acc: 0.781250] [adversarial loss: 1.028720, acc: 0.421875] 15628: [discriminator loss: 0.634650, acc: 0.671875] [adversarial loss: 1.466269, acc: 0.125000] 15629: [discriminator loss: 0.558777, acc: 0.679688] [adversarial loss: 0.989948, acc: 0.296875] 15630: [discriminator loss: 0.527186, acc: 0.765625] [adversarial loss: 1.344726, acc: 0.187500] 15631: [discriminator loss: 0.495183, acc: 0.734375] [adversarial loss: 1.097973, acc: 0.296875] 15632: [discriminator loss: 0.554133, acc: 0.718750] [adversarial loss: 1.452750, acc: 0.187500] 15633: [discriminator loss: 0.511582, acc: 0.726562] [adversarial loss: 1.075440, acc: 0.343750] 15634: [discriminator loss: 0.546659, acc: 0.710938] [adversarial loss: 1.555733, acc: 0.203125] 15635: [discriminator loss: 0.565403, acc: 0.687500] [adversarial loss: 0.887480, acc: 0.500000] 15636: [discriminator loss: 0.574376, acc: 0.687500] [adversarial loss: 1.295470, acc: 0.218750] 15637: [discriminator loss: 0.565022, acc: 0.664062] [adversarial loss: 1.028905, acc: 0.296875] 15638: [discriminator loss: 0.477766, acc: 0.757812] [adversarial loss: 1.330409, acc: 0.140625] 15639: [discriminator loss: 0.549539, acc: 0.687500] [adversarial loss: 1.086233, acc: 0.296875] 15640: [discriminator loss: 0.619122, acc: 0.648438] [adversarial loss: 1.456913, acc: 0.156250] 15641: [discriminator loss: 0.519636, acc: 0.765625] [adversarial loss: 0.781843, acc: 0.593750] 15642: [discriminator loss: 0.560207, acc: 0.695312] [adversarial loss: 1.910706, acc: 0.046875] 15643: [discriminator loss: 0.557899, acc: 0.695312] [adversarial loss: 0.837192, acc: 0.468750] 15644: [discriminator loss: 0.593682, acc: 0.695312] [adversarial loss: 1.279846, acc: 0.250000] 15645: [discriminator loss: 0.524298, acc: 0.718750] [adversarial loss: 0.889145, acc: 0.390625] 15646: [discriminator loss: 0.573592, acc: 0.687500] [adversarial loss: 1.348294, acc: 0.218750] 15647: [discriminator loss: 0.632397, acc: 0.640625] [adversarial loss: 0.940496, acc: 0.453125] 15648: [discriminator loss: 0.621405, acc: 0.656250] [adversarial loss: 1.483973, acc: 0.140625] 15649: [discriminator loss: 0.512555, acc: 0.742188] [adversarial loss: 0.936921, acc: 0.312500] 15650: [discriminator loss: 0.510204, acc: 0.734375] [adversarial loss: 1.265559, acc: 0.109375] 15651: [discriminator loss: 0.554349, acc: 0.695312] [adversarial loss: 1.149894, acc: 0.203125] 15652: [discriminator loss: 0.576501, acc: 0.679688] [adversarial loss: 1.313482, acc: 0.203125] 15653: [discriminator loss: 0.523124, acc: 0.710938] [adversarial loss: 1.131668, acc: 0.281250] 15654: [discriminator loss: 0.566654, acc: 0.664062] [adversarial loss: 1.477063, acc: 0.093750] 15655: [discriminator loss: 0.539664, acc: 0.710938] [adversarial loss: 0.971569, acc: 0.375000] 15656: [discriminator loss: 0.588800, acc: 0.734375] [adversarial loss: 1.159912, acc: 0.218750] 15657: [discriminator loss: 0.545111, acc: 0.703125] [adversarial loss: 1.223272, acc: 0.250000] 15658: [discriminator loss: 0.551999, acc: 0.726562] [adversarial loss: 1.067651, acc: 0.375000] 15659: [discriminator loss: 0.512804, acc: 0.734375] [adversarial loss: 1.224253, acc: 0.171875] 15660: [discriminator loss: 0.515636, acc: 0.750000] [adversarial loss: 1.194883, acc: 0.296875] 15661: [discriminator loss: 0.578919, acc: 0.687500] [adversarial loss: 0.878122, acc: 0.453125] 15662: [discriminator loss: 0.542795, acc: 0.726562] [adversarial loss: 1.531657, acc: 0.062500] 15663: [discriminator loss: 0.552464, acc: 0.679688] [adversarial loss: 0.957003, acc: 0.453125] 15664: [discriminator loss: 0.533152, acc: 0.750000] [adversarial loss: 1.539526, acc: 0.109375] 15665: [discriminator loss: 0.586257, acc: 0.726562] [adversarial loss: 0.952774, acc: 0.390625] 15666: [discriminator loss: 0.553752, acc: 0.718750] [adversarial loss: 1.325832, acc: 0.078125] 15667: [discriminator loss: 0.539980, acc: 0.671875] [adversarial loss: 1.008398, acc: 0.296875] 15668: [discriminator loss: 0.547497, acc: 0.710938] [adversarial loss: 1.232816, acc: 0.218750] 15669: [discriminator loss: 0.510110, acc: 0.718750] [adversarial loss: 1.057186, acc: 0.312500] 15670: [discriminator loss: 0.549825, acc: 0.695312] [adversarial loss: 1.211323, acc: 0.265625] 15671: [discriminator loss: 0.524013, acc: 0.734375] [adversarial loss: 0.873724, acc: 0.515625] 15672: [discriminator loss: 0.526502, acc: 0.726562] [adversarial loss: 1.474344, acc: 0.156250] 15673: [discriminator loss: 0.613645, acc: 0.640625] [adversarial loss: 1.253853, acc: 0.187500] 15674: [discriminator loss: 0.580285, acc: 0.703125] [adversarial loss: 0.847950, acc: 0.468750] 15675: [discriminator loss: 0.564902, acc: 0.687500] [adversarial loss: 1.512380, acc: 0.109375] 15676: [discriminator loss: 0.595506, acc: 0.679688] [adversarial loss: 1.065158, acc: 0.312500] 15677: [discriminator loss: 0.570115, acc: 0.710938] [adversarial loss: 1.003994, acc: 0.328125] 15678: [discriminator loss: 0.580432, acc: 0.710938] [adversarial loss: 1.448639, acc: 0.171875] 15679: [discriminator loss: 0.556620, acc: 0.703125] [adversarial loss: 0.791355, acc: 0.546875] 15680: [discriminator loss: 0.640363, acc: 0.679688] [adversarial loss: 1.740334, acc: 0.078125] 15681: [discriminator loss: 0.586157, acc: 0.664062] [adversarial loss: 0.869648, acc: 0.406250] 15682: [discriminator loss: 0.604364, acc: 0.648438] [adversarial loss: 1.500371, acc: 0.203125] 15683: [discriminator loss: 0.629223, acc: 0.687500] [adversarial loss: 1.038337, acc: 0.312500] 15684: [discriminator loss: 0.566380, acc: 0.742188] [adversarial loss: 1.438465, acc: 0.203125] 15685: [discriminator loss: 0.634613, acc: 0.601562] [adversarial loss: 1.225820, acc: 0.234375] 15686: [discriminator loss: 0.563249, acc: 0.695312] [adversarial loss: 0.989084, acc: 0.421875] 15687: [discriminator loss: 0.559958, acc: 0.679688] [adversarial loss: 0.956505, acc: 0.343750] 15688: [discriminator loss: 0.580856, acc: 0.703125] [adversarial loss: 1.314183, acc: 0.140625] 15689: [discriminator loss: 0.572711, acc: 0.648438] [adversarial loss: 1.132470, acc: 0.296875] 15690: [discriminator loss: 0.548181, acc: 0.679688] [adversarial loss: 1.328539, acc: 0.218750] 15691: [discriminator loss: 0.558171, acc: 0.710938] [adversarial loss: 0.999047, acc: 0.390625] 15692: [discriminator loss: 0.534856, acc: 0.695312] [adversarial loss: 0.991480, acc: 0.421875] 15693: [discriminator loss: 0.541102, acc: 0.679688] [adversarial loss: 1.261174, acc: 0.203125] 15694: [discriminator loss: 0.533970, acc: 0.710938] [adversarial loss: 1.054786, acc: 0.296875] 15695: [discriminator loss: 0.486769, acc: 0.757812] [adversarial loss: 1.364802, acc: 0.109375] 15696: [discriminator loss: 0.527216, acc: 0.757812] [adversarial loss: 1.088883, acc: 0.343750] 15697: [discriminator loss: 0.534009, acc: 0.742188] [adversarial loss: 1.130309, acc: 0.328125] 15698: [discriminator loss: 0.513625, acc: 0.742188] [adversarial loss: 1.166887, acc: 0.296875] 15699: [discriminator loss: 0.542539, acc: 0.695312] [adversarial loss: 1.080958, acc: 0.265625] 15700: [discriminator loss: 0.594107, acc: 0.679688] [adversarial loss: 1.386972, acc: 0.171875] 15701: [discriminator loss: 0.550163, acc: 0.718750] [adversarial loss: 0.932930, acc: 0.437500] 15702: [discriminator loss: 0.520241, acc: 0.703125] [adversarial loss: 1.574288, acc: 0.140625] 15703: [discriminator loss: 0.549922, acc: 0.703125] [adversarial loss: 0.915008, acc: 0.453125] 15704: [discriminator loss: 0.533317, acc: 0.750000] [adversarial loss: 1.289868, acc: 0.234375] 15705: [discriminator loss: 0.557887, acc: 0.703125] [adversarial loss: 1.059700, acc: 0.281250] 15706: [discriminator loss: 0.572084, acc: 0.757812] [adversarial loss: 1.283782, acc: 0.250000] 15707: [discriminator loss: 0.564551, acc: 0.679688] [adversarial loss: 1.145394, acc: 0.312500] 15708: [discriminator loss: 0.581766, acc: 0.703125] [adversarial loss: 0.953402, acc: 0.375000] 15709: [discriminator loss: 0.571696, acc: 0.695312] [adversarial loss: 1.111701, acc: 0.187500] 15710: [discriminator loss: 0.516628, acc: 0.718750] [adversarial loss: 0.884316, acc: 0.453125] 15711: [discriminator loss: 0.542134, acc: 0.726562] [adversarial loss: 1.160282, acc: 0.218750] 15712: [discriminator loss: 0.547692, acc: 0.687500] [adversarial loss: 1.081597, acc: 0.375000] 15713: [discriminator loss: 0.487150, acc: 0.750000] [adversarial loss: 1.293322, acc: 0.250000] 15714: [discriminator loss: 0.592811, acc: 0.687500] [adversarial loss: 0.827796, acc: 0.343750] 15715: [discriminator loss: 0.595121, acc: 0.671875] [adversarial loss: 1.672654, acc: 0.062500] 15716: [discriminator loss: 0.688061, acc: 0.593750] [adversarial loss: 0.804706, acc: 0.546875] 15717: [discriminator loss: 0.575879, acc: 0.718750] [adversarial loss: 1.175616, acc: 0.296875] 15718: [discriminator loss: 0.508737, acc: 0.757812] [adversarial loss: 1.272935, acc: 0.203125] 15719: [discriminator loss: 0.541607, acc: 0.726562] [adversarial loss: 0.983882, acc: 0.453125] 15720: [discriminator loss: 0.578418, acc: 0.726562] [adversarial loss: 1.423059, acc: 0.203125] 15721: [discriminator loss: 0.544038, acc: 0.687500] [adversarial loss: 1.141811, acc: 0.312500] 15722: [discriminator loss: 0.546628, acc: 0.695312] [adversarial loss: 1.473424, acc: 0.109375] 15723: [discriminator loss: 0.600512, acc: 0.640625] [adversarial loss: 0.838236, acc: 0.468750] 15724: [discriminator loss: 0.576090, acc: 0.687500] [adversarial loss: 1.495199, acc: 0.140625] 15725: [discriminator loss: 0.624778, acc: 0.632812] [adversarial loss: 0.718009, acc: 0.593750] 15726: [discriminator loss: 0.644864, acc: 0.656250] [adversarial loss: 1.801155, acc: 0.062500] 15727: [discriminator loss: 0.459376, acc: 0.734375] [adversarial loss: 1.121457, acc: 0.296875] 15728: [discriminator loss: 0.472472, acc: 0.812500] [adversarial loss: 1.346278, acc: 0.171875] 15729: [discriminator loss: 0.544134, acc: 0.726562] [adversarial loss: 1.125090, acc: 0.421875] 15730: [discriminator loss: 0.544686, acc: 0.718750] [adversarial loss: 1.445529, acc: 0.125000] 15731: [discriminator loss: 0.567205, acc: 0.671875] [adversarial loss: 1.037901, acc: 0.296875] 15732: [discriminator loss: 0.569599, acc: 0.703125] [adversarial loss: 1.562019, acc: 0.140625] 15733: [discriminator loss: 0.650372, acc: 0.632812] [adversarial loss: 1.023231, acc: 0.343750] 15734: [discriminator loss: 0.584256, acc: 0.710938] [adversarial loss: 1.368506, acc: 0.203125] 15735: [discriminator loss: 0.508207, acc: 0.718750] [adversarial loss: 1.123707, acc: 0.171875] 15736: [discriminator loss: 0.514719, acc: 0.750000] [adversarial loss: 1.279574, acc: 0.203125] 15737: [discriminator loss: 0.499362, acc: 0.765625] [adversarial loss: 0.977508, acc: 0.390625] 15738: [discriminator loss: 0.576092, acc: 0.695312] [adversarial loss: 1.318462, acc: 0.203125] 15739: [discriminator loss: 0.551150, acc: 0.726562] [adversarial loss: 0.866272, acc: 0.468750] 15740: [discriminator loss: 0.614878, acc: 0.679688] [adversarial loss: 1.411160, acc: 0.125000] 15741: [discriminator loss: 0.528496, acc: 0.757812] [adversarial loss: 1.047541, acc: 0.296875] 15742: [discriminator loss: 0.516368, acc: 0.742188] [adversarial loss: 1.313858, acc: 0.203125] 15743: [discriminator loss: 0.488245, acc: 0.726562] [adversarial loss: 0.960049, acc: 0.375000] 15744: [discriminator loss: 0.590370, acc: 0.687500] [adversarial loss: 1.093202, acc: 0.343750] 15745: [discriminator loss: 0.558672, acc: 0.703125] [adversarial loss: 1.030205, acc: 0.343750] 15746: [discriminator loss: 0.508802, acc: 0.742188] [adversarial loss: 0.995417, acc: 0.359375] 15747: [discriminator loss: 0.610171, acc: 0.632812] [adversarial loss: 1.338660, acc: 0.203125] 15748: [discriminator loss: 0.578138, acc: 0.671875] [adversarial loss: 0.959237, acc: 0.375000] 15749: [discriminator loss: 0.567551, acc: 0.671875] [adversarial loss: 1.570647, acc: 0.109375] 15750: [discriminator loss: 0.601353, acc: 0.695312] [adversarial loss: 0.803426, acc: 0.546875] 15751: [discriminator loss: 0.626504, acc: 0.664062] [adversarial loss: 1.325114, acc: 0.156250] 15752: [discriminator loss: 0.584971, acc: 0.695312] [adversarial loss: 0.773507, acc: 0.562500] 15753: [discriminator loss: 0.553756, acc: 0.710938] [adversarial loss: 1.424586, acc: 0.156250] 15754: [discriminator loss: 0.498126, acc: 0.726562] [adversarial loss: 1.109906, acc: 0.250000] 15755: [discriminator loss: 0.524894, acc: 0.710938] [adversarial loss: 1.215294, acc: 0.265625] 15756: [discriminator loss: 0.565819, acc: 0.664062] [adversarial loss: 0.898407, acc: 0.468750] 15757: [discriminator loss: 0.520391, acc: 0.718750] [adversarial loss: 1.240215, acc: 0.187500] 15758: [discriminator loss: 0.509982, acc: 0.765625] [adversarial loss: 1.116721, acc: 0.453125] 15759: [discriminator loss: 0.551350, acc: 0.710938] [adversarial loss: 1.348861, acc: 0.187500] 15760: [discriminator loss: 0.553290, acc: 0.687500] [adversarial loss: 0.950877, acc: 0.406250] 15761: [discriminator loss: 0.538931, acc: 0.679688] [adversarial loss: 1.354558, acc: 0.156250] 15762: [discriminator loss: 0.565178, acc: 0.656250] [adversarial loss: 0.966704, acc: 0.343750] 15763: [discriminator loss: 0.532650, acc: 0.687500] [adversarial loss: 1.177863, acc: 0.265625] 15764: [discriminator loss: 0.560516, acc: 0.695312] [adversarial loss: 1.246724, acc: 0.156250] 15765: [discriminator loss: 0.576613, acc: 0.679688] [adversarial loss: 0.932508, acc: 0.375000] 15766: [discriminator loss: 0.505620, acc: 0.710938] [adversarial loss: 1.512250, acc: 0.140625] 15767: [discriminator loss: 0.640123, acc: 0.617188] [adversarial loss: 0.966773, acc: 0.359375] 15768: [discriminator loss: 0.555679, acc: 0.656250] [adversarial loss: 1.426027, acc: 0.171875] 15769: [discriminator loss: 0.531069, acc: 0.765625] [adversarial loss: 1.149908, acc: 0.296875] 15770: [discriminator loss: 0.507818, acc: 0.750000] [adversarial loss: 1.293797, acc: 0.156250] 15771: [discriminator loss: 0.490541, acc: 0.742188] [adversarial loss: 0.828559, acc: 0.468750] 15772: [discriminator loss: 0.529302, acc: 0.718750] [adversarial loss: 1.235102, acc: 0.171875] 15773: [discriminator loss: 0.572984, acc: 0.687500] [adversarial loss: 0.925950, acc: 0.359375] 15774: [discriminator loss: 0.594840, acc: 0.679688] [adversarial loss: 1.498693, acc: 0.156250] 15775: [discriminator loss: 0.584632, acc: 0.679688] [adversarial loss: 0.740685, acc: 0.531250] 15776: [discriminator loss: 0.561366, acc: 0.679688] [adversarial loss: 1.572721, acc: 0.109375] 15777: [discriminator loss: 0.485394, acc: 0.765625] [adversarial loss: 0.995242, acc: 0.421875] 15778: [discriminator loss: 0.511030, acc: 0.710938] [adversarial loss: 1.291369, acc: 0.140625] 15779: [discriminator loss: 0.557392, acc: 0.710938] [adversarial loss: 0.866097, acc: 0.421875] 15780: [discriminator loss: 0.545934, acc: 0.718750] [adversarial loss: 1.367528, acc: 0.234375] 15781: [discriminator loss: 0.605589, acc: 0.695312] [adversarial loss: 1.235341, acc: 0.218750] 15782: [discriminator loss: 0.479993, acc: 0.781250] [adversarial loss: 0.788055, acc: 0.562500] 15783: [discriminator loss: 0.606511, acc: 0.625000] [adversarial loss: 1.646277, acc: 0.078125] 15784: [discriminator loss: 0.534857, acc: 0.703125] [adversarial loss: 0.889922, acc: 0.406250] 15785: [discriminator loss: 0.536036, acc: 0.695312] [adversarial loss: 1.351577, acc: 0.187500] 15786: [discriminator loss: 0.479604, acc: 0.789062] [adversarial loss: 0.927739, acc: 0.437500] 15787: [discriminator loss: 0.491083, acc: 0.757812] [adversarial loss: 1.449994, acc: 0.062500] 15788: [discriminator loss: 0.600718, acc: 0.640625] [adversarial loss: 0.567654, acc: 0.671875] 15789: [discriminator loss: 0.633431, acc: 0.656250] [adversarial loss: 1.420879, acc: 0.125000] 15790: [discriminator loss: 0.580961, acc: 0.648438] [adversarial loss: 0.736334, acc: 0.562500] 15791: [discriminator loss: 0.570617, acc: 0.703125] [adversarial loss: 1.370684, acc: 0.093750] 15792: [discriminator loss: 0.602010, acc: 0.703125] [adversarial loss: 1.058910, acc: 0.359375] 15793: [discriminator loss: 0.483178, acc: 0.773438] [adversarial loss: 1.136525, acc: 0.421875] 15794: [discriminator loss: 0.596598, acc: 0.695312] [adversarial loss: 1.198995, acc: 0.250000] 15795: [discriminator loss: 0.542630, acc: 0.695312] [adversarial loss: 0.911000, acc: 0.343750] 15796: [discriminator loss: 0.531288, acc: 0.726562] [adversarial loss: 1.421144, acc: 0.171875] 15797: [discriminator loss: 0.633384, acc: 0.656250] [adversarial loss: 1.090592, acc: 0.328125] 15798: [discriminator loss: 0.530575, acc: 0.734375] [adversarial loss: 1.151121, acc: 0.234375] 15799: [discriminator loss: 0.548619, acc: 0.710938] [adversarial loss: 1.193024, acc: 0.250000] 15800: [discriminator loss: 0.518667, acc: 0.750000] [adversarial loss: 1.176565, acc: 0.250000] 15801: [discriminator loss: 0.516821, acc: 0.750000] [adversarial loss: 1.362282, acc: 0.156250] 15802: [discriminator loss: 0.538947, acc: 0.765625] [adversarial loss: 1.231949, acc: 0.281250] 15803: [discriminator loss: 0.475870, acc: 0.734375] [adversarial loss: 1.119340, acc: 0.312500] 15804: [discriminator loss: 0.512471, acc: 0.757812] [adversarial loss: 1.535836, acc: 0.140625] 15805: [discriminator loss: 0.474886, acc: 0.734375] [adversarial loss: 0.890237, acc: 0.484375] 15806: [discriminator loss: 0.550661, acc: 0.757812] [adversarial loss: 1.649509, acc: 0.109375] 15807: [discriminator loss: 0.620403, acc: 0.679688] [adversarial loss: 0.960066, acc: 0.437500] 15808: [discriminator loss: 0.625467, acc: 0.632812] [adversarial loss: 1.715982, acc: 0.062500] 15809: [discriminator loss: 0.535694, acc: 0.703125] [adversarial loss: 1.129737, acc: 0.343750] 15810: [discriminator loss: 0.621318, acc: 0.679688] [adversarial loss: 1.463820, acc: 0.078125] 15811: [discriminator loss: 0.527896, acc: 0.734375] [adversarial loss: 1.166828, acc: 0.250000] 15812: [discriminator loss: 0.540387, acc: 0.726562] [adversarial loss: 1.027296, acc: 0.265625] 15813: [discriminator loss: 0.556292, acc: 0.734375] [adversarial loss: 1.090658, acc: 0.281250] 15814: [discriminator loss: 0.547086, acc: 0.710938] [adversarial loss: 1.024706, acc: 0.250000] 15815: [discriminator loss: 0.534249, acc: 0.718750] [adversarial loss: 0.916720, acc: 0.437500] 15816: [discriminator loss: 0.524820, acc: 0.734375] [adversarial loss: 1.341229, acc: 0.203125] 15817: [discriminator loss: 0.647705, acc: 0.664062] [adversarial loss: 0.966561, acc: 0.468750] 15818: [discriminator loss: 0.515037, acc: 0.757812] [adversarial loss: 1.375791, acc: 0.171875] 15819: [discriminator loss: 0.517867, acc: 0.718750] [adversarial loss: 0.976093, acc: 0.375000] 15820: [discriminator loss: 0.530691, acc: 0.734375] [adversarial loss: 1.176168, acc: 0.203125] 15821: [discriminator loss: 0.510356, acc: 0.734375] [adversarial loss: 0.890059, acc: 0.484375] 15822: [discriminator loss: 0.522934, acc: 0.773438] [adversarial loss: 1.248990, acc: 0.203125] 15823: [discriminator loss: 0.532324, acc: 0.757812] [adversarial loss: 1.020988, acc: 0.281250] 15824: [discriminator loss: 0.486701, acc: 0.781250] [adversarial loss: 1.303620, acc: 0.265625] 15825: [discriminator loss: 0.488688, acc: 0.781250] [adversarial loss: 0.966584, acc: 0.359375] 15826: [discriminator loss: 0.554876, acc: 0.718750] [adversarial loss: 1.596837, acc: 0.171875] 15827: [discriminator loss: 0.575821, acc: 0.703125] [adversarial loss: 0.796785, acc: 0.531250] 15828: [discriminator loss: 0.626593, acc: 0.671875] [adversarial loss: 1.695601, acc: 0.093750] 15829: [discriminator loss: 0.595079, acc: 0.640625] [adversarial loss: 1.031329, acc: 0.296875] 15830: [discriminator loss: 0.552924, acc: 0.648438] [adversarial loss: 1.383803, acc: 0.250000] 15831: [discriminator loss: 0.535941, acc: 0.703125] [adversarial loss: 1.211854, acc: 0.296875] 15832: [discriminator loss: 0.510139, acc: 0.703125] [adversarial loss: 1.052944, acc: 0.312500] 15833: [discriminator loss: 0.511219, acc: 0.718750] [adversarial loss: 1.184927, acc: 0.281250] 15834: [discriminator loss: 0.517907, acc: 0.703125] [adversarial loss: 1.069164, acc: 0.312500] 15835: [discriminator loss: 0.543279, acc: 0.765625] [adversarial loss: 1.463300, acc: 0.156250] 15836: [discriminator loss: 0.598265, acc: 0.671875] [adversarial loss: 0.872746, acc: 0.390625] 15837: [discriminator loss: 0.530072, acc: 0.671875] [adversarial loss: 1.313221, acc: 0.109375] 15838: [discriminator loss: 0.619521, acc: 0.625000] [adversarial loss: 0.708471, acc: 0.562500] 15839: [discriminator loss: 0.525114, acc: 0.734375] [adversarial loss: 1.454590, acc: 0.062500] 15840: [discriminator loss: 0.614165, acc: 0.671875] [adversarial loss: 0.748062, acc: 0.625000] 15841: [discriminator loss: 0.570654, acc: 0.687500] [adversarial loss: 1.487199, acc: 0.078125] 15842: [discriminator loss: 0.528618, acc: 0.679688] [adversarial loss: 0.794171, acc: 0.515625] 15843: [discriminator loss: 0.541744, acc: 0.742188] [adversarial loss: 1.570947, acc: 0.062500] 15844: [discriminator loss: 0.489126, acc: 0.750000] [adversarial loss: 1.111056, acc: 0.265625] 15845: [discriminator loss: 0.538732, acc: 0.718750] [adversarial loss: 1.397007, acc: 0.140625] 15846: [discriminator loss: 0.510639, acc: 0.734375] [adversarial loss: 0.995366, acc: 0.343750] 15847: [discriminator loss: 0.603454, acc: 0.687500] [adversarial loss: 1.636842, acc: 0.093750] 15848: [discriminator loss: 0.635197, acc: 0.671875] [adversarial loss: 0.856436, acc: 0.484375] 15849: [discriminator loss: 0.473067, acc: 0.773438] [adversarial loss: 1.276235, acc: 0.140625] 15850: [discriminator loss: 0.535011, acc: 0.726562] [adversarial loss: 1.093250, acc: 0.281250] 15851: [discriminator loss: 0.562491, acc: 0.710938] [adversarial loss: 1.128955, acc: 0.281250] 15852: [discriminator loss: 0.552629, acc: 0.726562] [adversarial loss: 1.130747, acc: 0.265625] 15853: [discriminator loss: 0.430601, acc: 0.765625] [adversarial loss: 1.382277, acc: 0.187500] 15854: [discriminator loss: 0.555763, acc: 0.687500] [adversarial loss: 1.424113, acc: 0.140625] 15855: [discriminator loss: 0.538298, acc: 0.703125] [adversarial loss: 1.373310, acc: 0.171875] 15856: [discriminator loss: 0.580359, acc: 0.664062] [adversarial loss: 0.990916, acc: 0.406250] 15857: [discriminator loss: 0.612514, acc: 0.664062] [adversarial loss: 1.660683, acc: 0.125000] 15858: [discriminator loss: 0.627774, acc: 0.593750] [adversarial loss: 1.120604, acc: 0.328125] 15859: [discriminator loss: 0.546702, acc: 0.750000] [adversarial loss: 1.396370, acc: 0.125000] 15860: [discriminator loss: 0.575545, acc: 0.703125] [adversarial loss: 1.288502, acc: 0.171875] 15861: [discriminator loss: 0.553320, acc: 0.703125] [adversarial loss: 0.815341, acc: 0.437500] 15862: [discriminator loss: 0.551945, acc: 0.687500] [adversarial loss: 0.980069, acc: 0.343750] 15863: [discriminator loss: 0.509801, acc: 0.718750] [adversarial loss: 1.090361, acc: 0.312500] 15864: [discriminator loss: 0.563333, acc: 0.765625] [adversarial loss: 1.239502, acc: 0.312500] 15865: [discriminator loss: 0.557894, acc: 0.703125] [adversarial loss: 0.912770, acc: 0.437500] 15866: [discriminator loss: 0.579874, acc: 0.671875] [adversarial loss: 1.440707, acc: 0.046875] 15867: [discriminator loss: 0.592235, acc: 0.648438] [adversarial loss: 0.952516, acc: 0.406250] 15868: [discriminator loss: 0.548815, acc: 0.710938] [adversarial loss: 1.060655, acc: 0.250000] 15869: [discriminator loss: 0.516246, acc: 0.710938] [adversarial loss: 1.419623, acc: 0.218750] 15870: [discriminator loss: 0.600353, acc: 0.664062] [adversarial loss: 1.124731, acc: 0.296875] 15871: [discriminator loss: 0.542706, acc: 0.726562] [adversarial loss: 1.121680, acc: 0.343750] 15872: [discriminator loss: 0.549724, acc: 0.734375] [adversarial loss: 1.482670, acc: 0.203125] 15873: [discriminator loss: 0.564312, acc: 0.718750] [adversarial loss: 1.090423, acc: 0.281250] 15874: [discriminator loss: 0.562812, acc: 0.687500] [adversarial loss: 1.169508, acc: 0.296875] 15875: [discriminator loss: 0.607315, acc: 0.664062] [adversarial loss: 1.136068, acc: 0.265625] 15876: [discriminator loss: 0.561599, acc: 0.656250] [adversarial loss: 1.319639, acc: 0.171875] 15877: [discriminator loss: 0.525668, acc: 0.742188] [adversarial loss: 0.805281, acc: 0.546875] 15878: [discriminator loss: 0.603981, acc: 0.687500] [adversarial loss: 1.671026, acc: 0.078125] 15879: [discriminator loss: 0.569087, acc: 0.679688] [adversarial loss: 0.751899, acc: 0.593750] 15880: [discriminator loss: 0.693404, acc: 0.640625] [adversarial loss: 1.590850, acc: 0.125000] 15881: [discriminator loss: 0.568392, acc: 0.726562] [adversarial loss: 0.877855, acc: 0.421875] 15882: [discriminator loss: 0.614256, acc: 0.648438] [adversarial loss: 1.333518, acc: 0.187500] 15883: [discriminator loss: 0.568875, acc: 0.687500] [adversarial loss: 1.216562, acc: 0.187500] 15884: [discriminator loss: 0.559331, acc: 0.671875] [adversarial loss: 1.184282, acc: 0.281250] 15885: [discriminator loss: 0.543411, acc: 0.703125] [adversarial loss: 1.288399, acc: 0.296875] 15886: [discriminator loss: 0.560122, acc: 0.695312] [adversarial loss: 0.958755, acc: 0.406250] 15887: [discriminator loss: 0.601684, acc: 0.671875] [adversarial loss: 1.152282, acc: 0.234375] 15888: [discriminator loss: 0.546846, acc: 0.757812] [adversarial loss: 1.157331, acc: 0.203125] 15889: [discriminator loss: 0.584011, acc: 0.687500] [adversarial loss: 0.986651, acc: 0.406250] 15890: [discriminator loss: 0.501150, acc: 0.734375] [adversarial loss: 1.097903, acc: 0.265625] 15891: [discriminator loss: 0.544654, acc: 0.726562] [adversarial loss: 1.268786, acc: 0.265625] 15892: [discriminator loss: 0.544149, acc: 0.687500] [adversarial loss: 1.233936, acc: 0.218750] 15893: [discriminator loss: 0.505483, acc: 0.781250] [adversarial loss: 1.263799, acc: 0.187500] 15894: [discriminator loss: 0.565962, acc: 0.710938] [adversarial loss: 1.072577, acc: 0.343750] 15895: [discriminator loss: 0.501723, acc: 0.781250] [adversarial loss: 1.335982, acc: 0.203125] 15896: [discriminator loss: 0.573861, acc: 0.687500] [adversarial loss: 0.740350, acc: 0.578125] 15897: [discriminator loss: 0.492818, acc: 0.703125] [adversarial loss: 1.523261, acc: 0.078125] 15898: [discriminator loss: 0.586476, acc: 0.679688] [adversarial loss: 0.737922, acc: 0.593750] 15899: [discriminator loss: 0.670385, acc: 0.609375] [adversarial loss: 1.724649, acc: 0.062500] 15900: [discriminator loss: 0.648310, acc: 0.617188] [adversarial loss: 0.718788, acc: 0.578125] 15901: [discriminator loss: 0.529353, acc: 0.718750] [adversarial loss: 1.236926, acc: 0.187500] 15902: [discriminator loss: 0.518067, acc: 0.718750] [adversarial loss: 0.996702, acc: 0.359375] 15903: [discriminator loss: 0.511877, acc: 0.781250] [adversarial loss: 1.332050, acc: 0.234375] 15904: [discriminator loss: 0.561984, acc: 0.710938] [adversarial loss: 0.938354, acc: 0.468750] 15905: [discriminator loss: 0.540753, acc: 0.695312] [adversarial loss: 1.346236, acc: 0.140625] 15906: [discriminator loss: 0.524879, acc: 0.703125] [adversarial loss: 1.135595, acc: 0.250000] 15907: [discriminator loss: 0.503258, acc: 0.750000] [adversarial loss: 0.983787, acc: 0.312500] 15908: [discriminator loss: 0.527939, acc: 0.726562] [adversarial loss: 1.428947, acc: 0.125000] 15909: [discriminator loss: 0.588984, acc: 0.703125] [adversarial loss: 1.265949, acc: 0.171875] 15910: [discriminator loss: 0.609886, acc: 0.648438] [adversarial loss: 1.336622, acc: 0.187500] 15911: [discriminator loss: 0.552125, acc: 0.664062] [adversarial loss: 1.322772, acc: 0.218750] 15912: [discriminator loss: 0.526036, acc: 0.742188] [adversarial loss: 1.245859, acc: 0.281250] 15913: [discriminator loss: 0.578548, acc: 0.710938] [adversarial loss: 1.091634, acc: 0.250000] 15914: [discriminator loss: 0.503186, acc: 0.757812] [adversarial loss: 1.055578, acc: 0.359375] 15915: [discriminator loss: 0.495102, acc: 0.765625] [adversarial loss: 1.256960, acc: 0.234375] 15916: [discriminator loss: 0.612726, acc: 0.640625] [adversarial loss: 0.933056, acc: 0.468750] 15917: [discriminator loss: 0.633621, acc: 0.726562] [adversarial loss: 1.833910, acc: 0.046875] 15918: [discriminator loss: 0.614107, acc: 0.687500] [adversarial loss: 0.897055, acc: 0.421875] 15919: [discriminator loss: 0.589026, acc: 0.640625] [adversarial loss: 1.514409, acc: 0.093750] 15920: [discriminator loss: 0.569643, acc: 0.703125] [adversarial loss: 0.820784, acc: 0.484375] 15921: [discriminator loss: 0.633861, acc: 0.617188] [adversarial loss: 1.397524, acc: 0.140625] 15922: [discriminator loss: 0.549532, acc: 0.695312] [adversarial loss: 0.995412, acc: 0.375000] 15923: [discriminator loss: 0.500971, acc: 0.757812] [adversarial loss: 1.163440, acc: 0.265625] 15924: [discriminator loss: 0.552245, acc: 0.710938] [adversarial loss: 0.967642, acc: 0.328125] 15925: [discriminator loss: 0.511905, acc: 0.765625] [adversarial loss: 1.267745, acc: 0.234375] 15926: [discriminator loss: 0.589365, acc: 0.718750] [adversarial loss: 1.174597, acc: 0.203125] 15927: [discriminator loss: 0.544636, acc: 0.695312] [adversarial loss: 0.975530, acc: 0.328125] 15928: [discriminator loss: 0.550830, acc: 0.710938] [adversarial loss: 1.358120, acc: 0.250000] 15929: [discriminator loss: 0.536245, acc: 0.703125] [adversarial loss: 1.016870, acc: 0.359375] 15930: [discriminator loss: 0.530925, acc: 0.750000] [adversarial loss: 1.318970, acc: 0.203125] 15931: [discriminator loss: 0.577547, acc: 0.710938] [adversarial loss: 0.977463, acc: 0.453125] 15932: [discriminator loss: 0.553621, acc: 0.695312] [adversarial loss: 1.271011, acc: 0.125000] 15933: [discriminator loss: 0.557505, acc: 0.734375] [adversarial loss: 1.050255, acc: 0.390625] 15934: [discriminator loss: 0.543812, acc: 0.656250] [adversarial loss: 1.315385, acc: 0.171875] 15935: [discriminator loss: 0.616738, acc: 0.656250] [adversarial loss: 1.186970, acc: 0.265625] 15936: [discriminator loss: 0.618564, acc: 0.632812] [adversarial loss: 1.027579, acc: 0.312500] 15937: [discriminator loss: 0.546784, acc: 0.703125] [adversarial loss: 1.074578, acc: 0.328125] 15938: [discriminator loss: 0.558835, acc: 0.703125] [adversarial loss: 1.056973, acc: 0.296875] 15939: [discriminator loss: 0.501478, acc: 0.742188] [adversarial loss: 1.005983, acc: 0.437500] 15940: [discriminator loss: 0.572582, acc: 0.671875] [adversarial loss: 1.331543, acc: 0.234375] 15941: [discriminator loss: 0.507286, acc: 0.734375] [adversarial loss: 1.045328, acc: 0.343750] 15942: [discriminator loss: 0.503277, acc: 0.796875] [adversarial loss: 1.403024, acc: 0.218750] 15943: [discriminator loss: 0.604018, acc: 0.664062] [adversarial loss: 1.115771, acc: 0.296875] 15944: [discriminator loss: 0.573593, acc: 0.703125] [adversarial loss: 1.504847, acc: 0.125000] 15945: [discriminator loss: 0.576639, acc: 0.703125] [adversarial loss: 0.686481, acc: 0.593750] 15946: [discriminator loss: 0.585348, acc: 0.695312] [adversarial loss: 1.579968, acc: 0.046875] 15947: [discriminator loss: 0.638789, acc: 0.664062] [adversarial loss: 1.007428, acc: 0.312500] 15948: [discriminator loss: 0.500306, acc: 0.773438] [adversarial loss: 1.187522, acc: 0.234375] 15949: [discriminator loss: 0.533916, acc: 0.695312] [adversarial loss: 0.937911, acc: 0.406250] 15950: [discriminator loss: 0.573482, acc: 0.750000] [adversarial loss: 1.262740, acc: 0.171875] 15951: [discriminator loss: 0.556305, acc: 0.718750] [adversarial loss: 0.880457, acc: 0.453125] 15952: [discriminator loss: 0.566756, acc: 0.695312] [adversarial loss: 1.383300, acc: 0.156250] 15953: [discriminator loss: 0.536285, acc: 0.703125] [adversarial loss: 0.831619, acc: 0.453125] 15954: [discriminator loss: 0.542575, acc: 0.703125] [adversarial loss: 1.483090, acc: 0.171875] 15955: [discriminator loss: 0.568756, acc: 0.718750] [adversarial loss: 0.850890, acc: 0.406250] 15956: [discriminator loss: 0.601375, acc: 0.718750] [adversarial loss: 1.543423, acc: 0.109375] 15957: [discriminator loss: 0.598768, acc: 0.679688] [adversarial loss: 1.053575, acc: 0.312500] 15958: [discriminator loss: 0.529552, acc: 0.757812] [adversarial loss: 1.487953, acc: 0.078125] 15959: [discriminator loss: 0.499692, acc: 0.734375] [adversarial loss: 0.962317, acc: 0.390625] 15960: [discriminator loss: 0.603996, acc: 0.609375] [adversarial loss: 1.217144, acc: 0.218750] 15961: [discriminator loss: 0.576198, acc: 0.687500] [adversarial loss: 0.856066, acc: 0.468750] 15962: [discriminator loss: 0.601583, acc: 0.664062] [adversarial loss: 1.063447, acc: 0.421875] 15963: [discriminator loss: 0.525805, acc: 0.750000] [adversarial loss: 1.350531, acc: 0.078125] 15964: [discriminator loss: 0.585515, acc: 0.656250] [adversarial loss: 1.173339, acc: 0.171875] 15965: [discriminator loss: 0.549787, acc: 0.742188] [adversarial loss: 1.150389, acc: 0.343750] 15966: [discriminator loss: 0.508684, acc: 0.750000] [adversarial loss: 1.147616, acc: 0.218750] 15967: [discriminator loss: 0.535234, acc: 0.718750] [adversarial loss: 1.137254, acc: 0.265625] 15968: [discriminator loss: 0.535640, acc: 0.757812] [adversarial loss: 1.021538, acc: 0.328125] 15969: [discriminator loss: 0.585255, acc: 0.718750] [adversarial loss: 1.636090, acc: 0.109375] 15970: [discriminator loss: 0.597064, acc: 0.687500] [adversarial loss: 0.701586, acc: 0.609375] 15971: [discriminator loss: 0.610918, acc: 0.687500] [adversarial loss: 1.715526, acc: 0.078125] 15972: [discriminator loss: 0.575691, acc: 0.671875] [adversarial loss: 0.889085, acc: 0.468750] 15973: [discriminator loss: 0.582612, acc: 0.710938] [adversarial loss: 1.452678, acc: 0.109375] 15974: [discriminator loss: 0.542230, acc: 0.710938] [adversarial loss: 1.093722, acc: 0.218750] 15975: [discriminator loss: 0.540755, acc: 0.718750] [adversarial loss: 1.365050, acc: 0.203125] 15976: [discriminator loss: 0.565648, acc: 0.703125] [adversarial loss: 1.025553, acc: 0.406250] 15977: [discriminator loss: 0.503302, acc: 0.750000] [adversarial loss: 1.263242, acc: 0.218750] 15978: [discriminator loss: 0.559157, acc: 0.695312] [adversarial loss: 0.795253, acc: 0.484375] 15979: [discriminator loss: 0.577611, acc: 0.718750] [adversarial loss: 1.373943, acc: 0.156250] 15980: [discriminator loss: 0.573288, acc: 0.679688] [adversarial loss: 0.782683, acc: 0.531250] 15981: [discriminator loss: 0.556322, acc: 0.718750] [adversarial loss: 1.481596, acc: 0.125000] 15982: [discriminator loss: 0.532245, acc: 0.664062] [adversarial loss: 1.165484, acc: 0.218750] 15983: [discriminator loss: 0.508078, acc: 0.718750] [adversarial loss: 1.098617, acc: 0.343750] 15984: [discriminator loss: 0.541526, acc: 0.726562] [adversarial loss: 1.206336, acc: 0.203125] 15985: [discriminator loss: 0.544060, acc: 0.718750] [adversarial loss: 0.888814, acc: 0.437500] 15986: [discriminator loss: 0.589312, acc: 0.687500] [adversarial loss: 1.500543, acc: 0.093750] 15987: [discriminator loss: 0.586806, acc: 0.687500] [adversarial loss: 0.777185, acc: 0.593750] 15988: [discriminator loss: 0.577521, acc: 0.679688] [adversarial loss: 1.318958, acc: 0.187500] 15989: [discriminator loss: 0.488672, acc: 0.773438] [adversarial loss: 1.118952, acc: 0.218750] 15990: [discriminator loss: 0.525886, acc: 0.742188] [adversarial loss: 1.002156, acc: 0.390625] 15991: [discriminator loss: 0.478343, acc: 0.773438] [adversarial loss: 1.192123, acc: 0.265625] 15992: [discriminator loss: 0.597497, acc: 0.687500] [adversarial loss: 1.519160, acc: 0.156250] 15993: [discriminator loss: 0.556403, acc: 0.703125] [adversarial loss: 0.941411, acc: 0.343750] 15994: [discriminator loss: 0.588425, acc: 0.687500] [adversarial loss: 1.258108, acc: 0.250000] 15995: [discriminator loss: 0.541844, acc: 0.695312] [adversarial loss: 1.049192, acc: 0.296875] 15996: [discriminator loss: 0.521956, acc: 0.734375] [adversarial loss: 1.392084, acc: 0.156250] 15997: [discriminator loss: 0.483605, acc: 0.757812] [adversarial loss: 1.099546, acc: 0.390625] 15998: [discriminator loss: 0.610818, acc: 0.671875] [adversarial loss: 1.232878, acc: 0.218750] 15999: [discriminator loss: 0.557001, acc: 0.703125] [adversarial loss: 1.398797, acc: 0.203125] 16000: [discriminator loss: 0.515293, acc: 0.734375] [adversarial loss: 1.490841, acc: 0.187500] 16001: [discriminator loss: 0.518356, acc: 0.734375] [adversarial loss: 0.790329, acc: 0.546875] 16002: [discriminator loss: 0.534864, acc: 0.734375] [adversarial loss: 1.445740, acc: 0.203125] 16003: [discriminator loss: 0.519821, acc: 0.726562] [adversarial loss: 1.090737, acc: 0.421875] 16004: [discriminator loss: 0.539910, acc: 0.718750] [adversarial loss: 1.236956, acc: 0.203125] 16005: [discriminator loss: 0.505452, acc: 0.757812] [adversarial loss: 1.083859, acc: 0.296875] 16006: [discriminator loss: 0.469210, acc: 0.796875] [adversarial loss: 1.310127, acc: 0.234375] 16007: [discriminator loss: 0.546159, acc: 0.687500] [adversarial loss: 1.180713, acc: 0.265625] 16008: [discriminator loss: 0.528477, acc: 0.703125] [adversarial loss: 1.285970, acc: 0.265625] 16009: [discriminator loss: 0.528278, acc: 0.710938] [adversarial loss: 0.948209, acc: 0.406250] 16010: [discriminator loss: 0.580613, acc: 0.695312] [adversarial loss: 1.558661, acc: 0.031250] 16011: [discriminator loss: 0.587301, acc: 0.664062] [adversarial loss: 0.675005, acc: 0.578125] 16012: [discriminator loss: 0.617450, acc: 0.718750] [adversarial loss: 1.429533, acc: 0.093750] 16013: [discriminator loss: 0.594335, acc: 0.671875] [adversarial loss: 0.854003, acc: 0.515625] 16014: [discriminator loss: 0.526651, acc: 0.710938] [adversarial loss: 1.328886, acc: 0.187500] 16015: [discriminator loss: 0.608499, acc: 0.664062] [adversarial loss: 0.991546, acc: 0.343750] 16016: [discriminator loss: 0.552220, acc: 0.687500] [adversarial loss: 1.568178, acc: 0.187500] 16017: [discriminator loss: 0.557434, acc: 0.726562] [adversarial loss: 0.987220, acc: 0.406250] 16018: [discriminator loss: 0.557399, acc: 0.679688] [adversarial loss: 1.257249, acc: 0.218750] 16019: [discriminator loss: 0.534469, acc: 0.726562] [adversarial loss: 1.142528, acc: 0.296875] 16020: [discriminator loss: 0.501591, acc: 0.789062] [adversarial loss: 1.235720, acc: 0.203125] 16021: [discriminator loss: 0.566669, acc: 0.726562] [adversarial loss: 1.030772, acc: 0.296875] 16022: [discriminator loss: 0.581340, acc: 0.671875] [adversarial loss: 1.147447, acc: 0.265625] 16023: [discriminator loss: 0.596628, acc: 0.687500] [adversarial loss: 0.992327, acc: 0.312500] 16024: [discriminator loss: 0.576413, acc: 0.710938] [adversarial loss: 1.607258, acc: 0.140625] 16025: [discriminator loss: 0.629248, acc: 0.625000] [adversarial loss: 1.058753, acc: 0.296875] 16026: [discriminator loss: 0.585758, acc: 0.703125] [adversarial loss: 1.531454, acc: 0.109375] 16027: [discriminator loss: 0.572315, acc: 0.671875] [adversarial loss: 0.910065, acc: 0.406250] 16028: [discriminator loss: 0.554626, acc: 0.710938] [adversarial loss: 1.584142, acc: 0.093750] 16029: [discriminator loss: 0.585790, acc: 0.679688] [adversarial loss: 0.940306, acc: 0.328125] 16030: [discriminator loss: 0.518312, acc: 0.734375] [adversarial loss: 1.463077, acc: 0.156250] 16031: [discriminator loss: 0.539124, acc: 0.718750] [adversarial loss: 0.981998, acc: 0.359375] 16032: [discriminator loss: 0.527120, acc: 0.742188] [adversarial loss: 1.378770, acc: 0.171875] 16033: [discriminator loss: 0.540828, acc: 0.734375] [adversarial loss: 0.932474, acc: 0.406250] 16034: [discriminator loss: 0.535476, acc: 0.757812] [adversarial loss: 1.326459, acc: 0.203125] 16035: [discriminator loss: 0.600752, acc: 0.648438] [adversarial loss: 0.764874, acc: 0.609375] 16036: [discriminator loss: 0.534117, acc: 0.742188] [adversarial loss: 1.420887, acc: 0.125000] 16037: [discriminator loss: 0.543867, acc: 0.750000] [adversarial loss: 0.898445, acc: 0.484375] 16038: [discriminator loss: 0.531170, acc: 0.710938] [adversarial loss: 1.314842, acc: 0.250000] 16039: [discriminator loss: 0.510547, acc: 0.726562] [adversarial loss: 0.975999, acc: 0.312500] 16040: [discriminator loss: 0.507078, acc: 0.757812] [adversarial loss: 1.349514, acc: 0.250000] 16041: [discriminator loss: 0.506536, acc: 0.757812] [adversarial loss: 1.494169, acc: 0.265625] 16042: [discriminator loss: 0.487636, acc: 0.734375] [adversarial loss: 0.968782, acc: 0.437500] 16043: [discriminator loss: 0.551680, acc: 0.750000] [adversarial loss: 1.524657, acc: 0.125000] 16044: [discriminator loss: 0.572019, acc: 0.695312] [adversarial loss: 0.914239, acc: 0.375000] 16045: [discriminator loss: 0.701604, acc: 0.609375] [adversarial loss: 1.709141, acc: 0.093750] 16046: [discriminator loss: 0.574938, acc: 0.687500] [adversarial loss: 0.840244, acc: 0.484375] 16047: [discriminator loss: 0.550259, acc: 0.750000] [adversarial loss: 1.328602, acc: 0.156250] 16048: [discriminator loss: 0.545329, acc: 0.726562] [adversarial loss: 1.089544, acc: 0.281250] 16049: [discriminator loss: 0.485095, acc: 0.796875] [adversarial loss: 1.206383, acc: 0.234375] 16050: [discriminator loss: 0.488763, acc: 0.750000] [adversarial loss: 0.874569, acc: 0.531250] 16051: [discriminator loss: 0.509667, acc: 0.757812] [adversarial loss: 1.782682, acc: 0.078125] 16052: [discriminator loss: 0.508718, acc: 0.789062] [adversarial loss: 0.849454, acc: 0.484375] 16053: [discriminator loss: 0.588207, acc: 0.687500] [adversarial loss: 1.276415, acc: 0.187500] 16054: [discriminator loss: 0.558247, acc: 0.718750] [adversarial loss: 1.015851, acc: 0.375000] 16055: [discriminator loss: 0.632472, acc: 0.640625] [adversarial loss: 1.245285, acc: 0.187500] 16056: [discriminator loss: 0.550215, acc: 0.718750] [adversarial loss: 0.810403, acc: 0.531250] 16057: [discriminator loss: 0.601946, acc: 0.687500] [adversarial loss: 1.212791, acc: 0.234375] 16058: [discriminator loss: 0.606685, acc: 0.617188] [adversarial loss: 0.830702, acc: 0.453125] 16059: [discriminator loss: 0.655420, acc: 0.640625] [adversarial loss: 1.559931, acc: 0.093750] 16060: [discriminator loss: 0.564872, acc: 0.679688] [adversarial loss: 0.888414, acc: 0.421875] 16061: [discriminator loss: 0.553395, acc: 0.703125] [adversarial loss: 1.480672, acc: 0.156250] 16062: [discriminator loss: 0.504272, acc: 0.687500] [adversarial loss: 0.856987, acc: 0.484375] 16063: [discriminator loss: 0.667539, acc: 0.640625] [adversarial loss: 1.486085, acc: 0.078125] 16064: [discriminator loss: 0.548469, acc: 0.695312] [adversarial loss: 1.026846, acc: 0.343750] 16065: [discriminator loss: 0.515217, acc: 0.750000] [adversarial loss: 1.110909, acc: 0.250000] 16066: [discriminator loss: 0.576796, acc: 0.718750] [adversarial loss: 1.113951, acc: 0.296875] 16067: [discriminator loss: 0.581896, acc: 0.710938] [adversarial loss: 1.008260, acc: 0.375000] 16068: [discriminator loss: 0.591257, acc: 0.703125] [adversarial loss: 1.258261, acc: 0.250000] 16069: [discriminator loss: 0.503637, acc: 0.734375] [adversarial loss: 1.118318, acc: 0.203125] 16070: [discriminator loss: 0.559802, acc: 0.695312] [adversarial loss: 1.412475, acc: 0.078125] 16071: [discriminator loss: 0.520743, acc: 0.750000] [adversarial loss: 0.995808, acc: 0.375000] 16072: [discriminator loss: 0.573542, acc: 0.679688] [adversarial loss: 1.726568, acc: 0.062500] 16073: [discriminator loss: 0.502557, acc: 0.773438] [adversarial loss: 1.039251, acc: 0.296875] 16074: [discriminator loss: 0.584953, acc: 0.679688] [adversarial loss: 1.219343, acc: 0.250000] 16075: [discriminator loss: 0.554815, acc: 0.710938] [adversarial loss: 1.024867, acc: 0.187500] 16076: [discriminator loss: 0.480591, acc: 0.773438] [adversarial loss: 1.257901, acc: 0.203125] 16077: [discriminator loss: 0.532541, acc: 0.773438] [adversarial loss: 0.935530, acc: 0.421875] 16078: [discriminator loss: 0.521102, acc: 0.773438] [adversarial loss: 1.277790, acc: 0.218750] 16079: [discriminator loss: 0.529088, acc: 0.687500] [adversarial loss: 0.865478, acc: 0.484375] 16080: [discriminator loss: 0.527023, acc: 0.703125] [adversarial loss: 1.536141, acc: 0.171875] 16081: [discriminator loss: 0.681882, acc: 0.632812] [adversarial loss: 0.783220, acc: 0.515625] 16082: [discriminator loss: 0.637521, acc: 0.687500] [adversarial loss: 1.331276, acc: 0.140625] 16083: [discriminator loss: 0.555077, acc: 0.718750] [adversarial loss: 1.023602, acc: 0.296875] 16084: [discriminator loss: 0.526507, acc: 0.742188] [adversarial loss: 1.223236, acc: 0.203125] 16085: [discriminator loss: 0.533099, acc: 0.671875] [adversarial loss: 0.823859, acc: 0.515625] 16086: [discriminator loss: 0.563534, acc: 0.679688] [adversarial loss: 1.614708, acc: 0.078125] 16087: [discriminator loss: 0.607859, acc: 0.648438] [adversarial loss: 0.725603, acc: 0.578125] 16088: [discriminator loss: 0.560004, acc: 0.687500] [adversarial loss: 1.443145, acc: 0.109375] 16089: [discriminator loss: 0.602023, acc: 0.648438] [adversarial loss: 0.947934, acc: 0.375000] 16090: [discriminator loss: 0.555116, acc: 0.710938] [adversarial loss: 1.260303, acc: 0.156250] 16091: [discriminator loss: 0.512754, acc: 0.750000] [adversarial loss: 1.056827, acc: 0.359375] 16092: [discriminator loss: 0.547561, acc: 0.695312] [adversarial loss: 1.163095, acc: 0.265625] 16093: [discriminator loss: 0.547555, acc: 0.695312] [adversarial loss: 1.232909, acc: 0.265625] 16094: [discriminator loss: 0.533602, acc: 0.703125] [adversarial loss: 1.044236, acc: 0.343750] 16095: [discriminator loss: 0.558038, acc: 0.718750] [adversarial loss: 0.951466, acc: 0.406250] 16096: [discriminator loss: 0.513754, acc: 0.773438] [adversarial loss: 0.908435, acc: 0.421875] 16097: [discriminator loss: 0.558076, acc: 0.679688] [adversarial loss: 1.108612, acc: 0.234375] 16098: [discriminator loss: 0.537993, acc: 0.742188] [adversarial loss: 1.066865, acc: 0.281250] 16099: [discriminator loss: 0.573718, acc: 0.703125] [adversarial loss: 1.187905, acc: 0.281250] 16100: [discriminator loss: 0.554240, acc: 0.734375] [adversarial loss: 1.501954, acc: 0.171875] 16101: [discriminator loss: 0.537951, acc: 0.710938] [adversarial loss: 0.879560, acc: 0.500000] 16102: [discriminator loss: 0.581342, acc: 0.726562] [adversarial loss: 1.586302, acc: 0.140625] 16103: [discriminator loss: 0.596658, acc: 0.703125] [adversarial loss: 0.911869, acc: 0.453125] 16104: [discriminator loss: 0.539734, acc: 0.734375] [adversarial loss: 1.781744, acc: 0.031250] 16105: [discriminator loss: 0.641423, acc: 0.679688] [adversarial loss: 0.963724, acc: 0.421875] 16106: [discriminator loss: 0.545823, acc: 0.703125] [adversarial loss: 1.358127, acc: 0.140625] 16107: [discriminator loss: 0.552152, acc: 0.671875] [adversarial loss: 0.929848, acc: 0.375000] 16108: [discriminator loss: 0.495188, acc: 0.757812] [adversarial loss: 1.019642, acc: 0.406250] 16109: [discriminator loss: 0.539509, acc: 0.750000] [adversarial loss: 0.984489, acc: 0.312500] 16110: [discriminator loss: 0.556311, acc: 0.710938] [adversarial loss: 1.166476, acc: 0.203125] 16111: [discriminator loss: 0.513863, acc: 0.703125] [adversarial loss: 1.243256, acc: 0.250000] 16112: [discriminator loss: 0.524776, acc: 0.734375] [adversarial loss: 1.240067, acc: 0.234375] 16113: [discriminator loss: 0.485028, acc: 0.742188] [adversarial loss: 1.234265, acc: 0.250000] 16114: [discriminator loss: 0.530676, acc: 0.726562] [adversarial loss: 1.605827, acc: 0.046875] 16115: [discriminator loss: 0.515000, acc: 0.710938] [adversarial loss: 0.927953, acc: 0.406250] 16116: [discriminator loss: 0.573951, acc: 0.703125] [adversarial loss: 1.358257, acc: 0.156250] 16117: [discriminator loss: 0.556114, acc: 0.695312] [adversarial loss: 1.066933, acc: 0.359375] 16118: [discriminator loss: 0.580310, acc: 0.718750] [adversarial loss: 1.209489, acc: 0.234375] 16119: [discriminator loss: 0.564930, acc: 0.679688] [adversarial loss: 1.207613, acc: 0.187500] 16120: [discriminator loss: 0.531834, acc: 0.703125] [adversarial loss: 1.373541, acc: 0.171875] 16121: [discriminator loss: 0.538060, acc: 0.687500] [adversarial loss: 0.830316, acc: 0.437500] 16122: [discriminator loss: 0.516717, acc: 0.765625] [adversarial loss: 1.395627, acc: 0.125000] 16123: [discriminator loss: 0.615027, acc: 0.648438] [adversarial loss: 1.068206, acc: 0.296875] 16124: [discriminator loss: 0.599669, acc: 0.710938] [adversarial loss: 1.232472, acc: 0.312500] 16125: [discriminator loss: 0.556592, acc: 0.710938] [adversarial loss: 0.993277, acc: 0.312500] 16126: [discriminator loss: 0.621205, acc: 0.648438] [adversarial loss: 1.325833, acc: 0.203125] 16127: [discriminator loss: 0.516561, acc: 0.742188] [adversarial loss: 0.783067, acc: 0.500000] 16128: [discriminator loss: 0.569713, acc: 0.687500] [adversarial loss: 1.515880, acc: 0.078125] 16129: [discriminator loss: 0.537067, acc: 0.671875] [adversarial loss: 0.780332, acc: 0.468750] 16130: [discriminator loss: 0.603365, acc: 0.679688] [adversarial loss: 1.755388, acc: 0.015625] 16131: [discriminator loss: 0.620902, acc: 0.687500] [adversarial loss: 0.897840, acc: 0.421875] 16132: [discriminator loss: 0.550897, acc: 0.742188] [adversarial loss: 1.284833, acc: 0.187500] 16133: [discriminator loss: 0.558503, acc: 0.679688] [adversarial loss: 0.964059, acc: 0.359375] 16134: [discriminator loss: 0.592474, acc: 0.679688] [adversarial loss: 1.217855, acc: 0.203125] 16135: [discriminator loss: 0.542546, acc: 0.718750] [adversarial loss: 1.158536, acc: 0.265625] 16136: [discriminator loss: 0.562974, acc: 0.671875] [adversarial loss: 1.070547, acc: 0.343750] 16137: [discriminator loss: 0.547191, acc: 0.695312] [adversarial loss: 1.282531, acc: 0.250000] 16138: [discriminator loss: 0.555138, acc: 0.789062] [adversarial loss: 1.175008, acc: 0.265625] 16139: [discriminator loss: 0.628458, acc: 0.687500] [adversarial loss: 1.134209, acc: 0.250000] 16140: [discriminator loss: 0.536923, acc: 0.750000] [adversarial loss: 1.178426, acc: 0.312500] 16141: [discriminator loss: 0.557391, acc: 0.710938] [adversarial loss: 1.031065, acc: 0.390625] 16142: [discriminator loss: 0.518297, acc: 0.757812] [adversarial loss: 1.174571, acc: 0.265625] 16143: [discriminator loss: 0.602541, acc: 0.687500] [adversarial loss: 1.089522, acc: 0.296875] 16144: [discriminator loss: 0.548042, acc: 0.710938] [adversarial loss: 1.283822, acc: 0.218750] 16145: [discriminator loss: 0.596173, acc: 0.656250] [adversarial loss: 1.194879, acc: 0.187500] 16146: [discriminator loss: 0.534436, acc: 0.734375] [adversarial loss: 1.228786, acc: 0.250000] 16147: [discriminator loss: 0.574389, acc: 0.687500] [adversarial loss: 0.935022, acc: 0.343750] 16148: [discriminator loss: 0.523691, acc: 0.687500] [adversarial loss: 1.017823, acc: 0.406250] 16149: [discriminator loss: 0.533615, acc: 0.718750] [adversarial loss: 1.255965, acc: 0.218750] 16150: [discriminator loss: 0.553867, acc: 0.679688] [adversarial loss: 1.692806, acc: 0.062500] 16151: [discriminator loss: 0.714940, acc: 0.601562] [adversarial loss: 0.686239, acc: 0.562500] 16152: [discriminator loss: 0.581177, acc: 0.695312] [adversarial loss: 1.514006, acc: 0.093750] 16153: [discriminator loss: 0.638235, acc: 0.625000] [adversarial loss: 0.727794, acc: 0.593750] 16154: [discriminator loss: 0.637364, acc: 0.679688] [adversarial loss: 1.342589, acc: 0.187500] 16155: [discriminator loss: 0.568455, acc: 0.679688] [adversarial loss: 0.794657, acc: 0.468750] 16156: [discriminator loss: 0.510993, acc: 0.773438] [adversarial loss: 0.972792, acc: 0.359375] 16157: [discriminator loss: 0.511691, acc: 0.710938] [adversarial loss: 1.293337, acc: 0.156250] 16158: [discriminator loss: 0.531733, acc: 0.726562] [adversarial loss: 0.992472, acc: 0.343750] 16159: [discriminator loss: 0.541531, acc: 0.703125] [adversarial loss: 1.083738, acc: 0.281250] 16160: [discriminator loss: 0.501926, acc: 0.742188] [adversarial loss: 1.098642, acc: 0.250000] 16161: [discriminator loss: 0.515433, acc: 0.718750] [adversarial loss: 1.144837, acc: 0.281250] 16162: [discriminator loss: 0.539048, acc: 0.734375] [adversarial loss: 1.019130, acc: 0.328125] 16163: [discriminator loss: 0.542327, acc: 0.750000] [adversarial loss: 0.846904, acc: 0.437500] 16164: [discriminator loss: 0.509767, acc: 0.710938] [adversarial loss: 1.463472, acc: 0.203125] 16165: [discriminator loss: 0.559774, acc: 0.718750] [adversarial loss: 1.009477, acc: 0.375000] 16166: [discriminator loss: 0.480337, acc: 0.765625] [adversarial loss: 1.273417, acc: 0.187500] 16167: [discriminator loss: 0.551979, acc: 0.703125] [adversarial loss: 0.991524, acc: 0.375000] 16168: [discriminator loss: 0.489139, acc: 0.757812] [adversarial loss: 1.163455, acc: 0.250000] 16169: [discriminator loss: 0.564879, acc: 0.671875] [adversarial loss: 0.800982, acc: 0.484375] 16170: [discriminator loss: 0.605358, acc: 0.718750] [adversarial loss: 1.227460, acc: 0.218750] 16171: [discriminator loss: 0.543798, acc: 0.710938] [adversarial loss: 0.979805, acc: 0.468750] 16172: [discriminator loss: 0.557245, acc: 0.734375] [adversarial loss: 1.143637, acc: 0.250000] 16173: [discriminator loss: 0.502984, acc: 0.773438] [adversarial loss: 0.990516, acc: 0.328125] 16174: [discriminator loss: 0.540880, acc: 0.742188] [adversarial loss: 1.749885, acc: 0.109375] 16175: [discriminator loss: 0.650778, acc: 0.617188] [adversarial loss: 0.789102, acc: 0.484375] 16176: [discriminator loss: 0.567613, acc: 0.679688] [adversarial loss: 1.281253, acc: 0.187500] 16177: [discriminator loss: 0.522050, acc: 0.765625] [adversarial loss: 0.738356, acc: 0.562500] 16178: [discriminator loss: 0.699300, acc: 0.593750] [adversarial loss: 1.551262, acc: 0.125000] 16179: [discriminator loss: 0.608153, acc: 0.640625] [adversarial loss: 0.996414, acc: 0.437500] 16180: [discriminator loss: 0.507355, acc: 0.726562] [adversarial loss: 1.320697, acc: 0.234375] 16181: [discriminator loss: 0.540519, acc: 0.734375] [adversarial loss: 1.131112, acc: 0.281250] 16182: [discriminator loss: 0.600372, acc: 0.664062] [adversarial loss: 1.158780, acc: 0.218750] 16183: [discriminator loss: 0.562028, acc: 0.687500] [adversarial loss: 1.029740, acc: 0.359375] 16184: [discriminator loss: 0.552433, acc: 0.710938] [adversarial loss: 0.980084, acc: 0.328125] 16185: [discriminator loss: 0.579885, acc: 0.703125] [adversarial loss: 1.065455, acc: 0.234375] 16186: [discriminator loss: 0.510717, acc: 0.710938] [adversarial loss: 1.032868, acc: 0.343750] 16187: [discriminator loss: 0.499873, acc: 0.750000] [adversarial loss: 1.371011, acc: 0.156250] 16188: [discriminator loss: 0.547350, acc: 0.679688] [adversarial loss: 0.778704, acc: 0.500000] 16189: [discriminator loss: 0.521836, acc: 0.718750] [adversarial loss: 1.598132, acc: 0.093750] 16190: [discriminator loss: 0.545511, acc: 0.734375] [adversarial loss: 1.153696, acc: 0.265625] 16191: [discriminator loss: 0.520779, acc: 0.718750] [adversarial loss: 1.012210, acc: 0.312500] 16192: [discriminator loss: 0.530506, acc: 0.734375] [adversarial loss: 1.166130, acc: 0.296875] 16193: [discriminator loss: 0.497317, acc: 0.734375] [adversarial loss: 1.428508, acc: 0.125000] 16194: [discriminator loss: 0.550174, acc: 0.703125] [adversarial loss: 1.143837, acc: 0.234375] 16195: [discriminator loss: 0.601220, acc: 0.679688] [adversarial loss: 1.141451, acc: 0.312500] 16196: [discriminator loss: 0.555693, acc: 0.726562] [adversarial loss: 0.989729, acc: 0.359375] 16197: [discriminator loss: 0.543669, acc: 0.687500] [adversarial loss: 1.450399, acc: 0.203125] 16198: [discriminator loss: 0.582062, acc: 0.695312] [adversarial loss: 0.942432, acc: 0.406250] 16199: [discriminator loss: 0.588121, acc: 0.648438] [adversarial loss: 1.461551, acc: 0.125000] 16200: [discriminator loss: 0.536648, acc: 0.695312] [adversarial loss: 0.896349, acc: 0.406250] 16201: [discriminator loss: 0.552548, acc: 0.710938] [adversarial loss: 1.433683, acc: 0.125000] 16202: [discriminator loss: 0.567103, acc: 0.687500] [adversarial loss: 0.842924, acc: 0.484375] 16203: [discriminator loss: 0.517468, acc: 0.773438] [adversarial loss: 1.525281, acc: 0.093750] 16204: [discriminator loss: 0.571409, acc: 0.687500] [adversarial loss: 1.051499, acc: 0.343750] 16205: [discriminator loss: 0.567345, acc: 0.671875] [adversarial loss: 1.253809, acc: 0.250000] 16206: [discriminator loss: 0.531156, acc: 0.703125] [adversarial loss: 0.878080, acc: 0.453125] 16207: [discriminator loss: 0.553777, acc: 0.718750] [adversarial loss: 1.437678, acc: 0.203125] 16208: [discriminator loss: 0.527946, acc: 0.710938] [adversarial loss: 1.229081, acc: 0.218750] 16209: [discriminator loss: 0.546293, acc: 0.742188] [adversarial loss: 1.234522, acc: 0.187500] 16210: [discriminator loss: 0.567756, acc: 0.703125] [adversarial loss: 0.782054, acc: 0.484375] 16211: [discriminator loss: 0.523999, acc: 0.734375] [adversarial loss: 1.354868, acc: 0.234375] 16212: [discriminator loss: 0.575472, acc: 0.718750] [adversarial loss: 0.987392, acc: 0.343750] 16213: [discriminator loss: 0.513709, acc: 0.750000] [adversarial loss: 1.196130, acc: 0.312500] 16214: [discriminator loss: 0.550591, acc: 0.742188] [adversarial loss: 0.870518, acc: 0.453125] 16215: [discriminator loss: 0.596957, acc: 0.687500] [adversarial loss: 1.466876, acc: 0.156250] 16216: [discriminator loss: 0.541541, acc: 0.703125] [adversarial loss: 0.841028, acc: 0.437500] 16217: [discriminator loss: 0.631484, acc: 0.593750] [adversarial loss: 1.414349, acc: 0.093750] 16218: [discriminator loss: 0.558906, acc: 0.710938] [adversarial loss: 1.147636, acc: 0.250000] 16219: [discriminator loss: 0.564595, acc: 0.765625] [adversarial loss: 1.582578, acc: 0.171875] 16220: [discriminator loss: 0.623468, acc: 0.625000] [adversarial loss: 0.721642, acc: 0.578125] 16221: [discriminator loss: 0.539901, acc: 0.695312] [adversarial loss: 1.354523, acc: 0.187500] 16222: [discriminator loss: 0.570267, acc: 0.679688] [adversarial loss: 0.940563, acc: 0.437500] 16223: [discriminator loss: 0.524328, acc: 0.765625] [adversarial loss: 1.197643, acc: 0.250000] 16224: [discriminator loss: 0.564808, acc: 0.742188] [adversarial loss: 0.961944, acc: 0.375000] 16225: [discriminator loss: 0.583538, acc: 0.726562] [adversarial loss: 1.363144, acc: 0.156250] 16226: [discriminator loss: 0.528771, acc: 0.703125] [adversarial loss: 1.136140, acc: 0.281250] 16227: [discriminator loss: 0.467928, acc: 0.789062] [adversarial loss: 1.263664, acc: 0.265625] 16228: [discriminator loss: 0.506668, acc: 0.742188] [adversarial loss: 1.194446, acc: 0.281250] 16229: [discriminator loss: 0.535411, acc: 0.664062] [adversarial loss: 1.248364, acc: 0.187500] 16230: [discriminator loss: 0.567440, acc: 0.664062] [adversarial loss: 1.131796, acc: 0.218750] 16231: [discriminator loss: 0.558238, acc: 0.726562] [adversarial loss: 1.215611, acc: 0.234375] 16232: [discriminator loss: 0.501998, acc: 0.757812] [adversarial loss: 1.141967, acc: 0.296875] 16233: [discriminator loss: 0.526779, acc: 0.734375] [adversarial loss: 1.136560, acc: 0.218750] 16234: [discriminator loss: 0.557410, acc: 0.710938] [adversarial loss: 0.929444, acc: 0.437500] 16235: [discriminator loss: 0.557479, acc: 0.726562] [adversarial loss: 1.454561, acc: 0.171875] 16236: [discriminator loss: 0.584379, acc: 0.671875] [adversarial loss: 0.684754, acc: 0.625000] 16237: [discriminator loss: 0.612776, acc: 0.679688] [adversarial loss: 1.559711, acc: 0.093750] 16238: [discriminator loss: 0.579247, acc: 0.648438] [adversarial loss: 0.832810, acc: 0.515625] 16239: [discriminator loss: 0.594984, acc: 0.695312] [adversarial loss: 1.672298, acc: 0.109375] 16240: [discriminator loss: 0.560233, acc: 0.695312] [adversarial loss: 0.962609, acc: 0.421875] 16241: [discriminator loss: 0.567690, acc: 0.679688] [adversarial loss: 1.487954, acc: 0.203125] 16242: [discriminator loss: 0.572317, acc: 0.718750] [adversarial loss: 0.911620, acc: 0.359375] 16243: [discriminator loss: 0.534558, acc: 0.742188] [adversarial loss: 1.335114, acc: 0.125000] 16244: [discriminator loss: 0.548679, acc: 0.687500] [adversarial loss: 1.042284, acc: 0.406250] 16245: [discriminator loss: 0.592291, acc: 0.703125] [adversarial loss: 1.269271, acc: 0.234375] 16246: [discriminator loss: 0.575012, acc: 0.695312] [adversarial loss: 0.984848, acc: 0.328125] 16247: [discriminator loss: 0.610169, acc: 0.656250] [adversarial loss: 1.653927, acc: 0.109375] 16248: [discriminator loss: 0.611975, acc: 0.617188] [adversarial loss: 0.827903, acc: 0.437500] 16249: [discriminator loss: 0.497824, acc: 0.742188] [adversarial loss: 1.509640, acc: 0.218750] 16250: [discriminator loss: 0.530987, acc: 0.703125] [adversarial loss: 1.122051, acc: 0.265625] 16251: [discriminator loss: 0.593037, acc: 0.664062] [adversarial loss: 1.177862, acc: 0.187500] 16252: [discriminator loss: 0.545312, acc: 0.726562] [adversarial loss: 0.863796, acc: 0.421875] 16253: [discriminator loss: 0.520175, acc: 0.750000] [adversarial loss: 1.495914, acc: 0.140625] 16254: [discriminator loss: 0.614895, acc: 0.671875] [adversarial loss: 0.720607, acc: 0.609375] 16255: [discriminator loss: 0.631095, acc: 0.656250] [adversarial loss: 1.424985, acc: 0.093750] 16256: [discriminator loss: 0.509465, acc: 0.734375] [adversarial loss: 1.021494, acc: 0.296875] 16257: [discriminator loss: 0.620759, acc: 0.679688] [adversarial loss: 1.194077, acc: 0.312500] 16258: [discriminator loss: 0.585445, acc: 0.718750] [adversarial loss: 0.742585, acc: 0.484375] 16259: [discriminator loss: 0.612509, acc: 0.656250] [adversarial loss: 1.412552, acc: 0.218750] 16260: [discriminator loss: 0.545558, acc: 0.718750] [adversarial loss: 0.892426, acc: 0.359375] 16261: [discriminator loss: 0.606779, acc: 0.664062] [adversarial loss: 1.250385, acc: 0.250000] 16262: [discriminator loss: 0.523039, acc: 0.718750] [adversarial loss: 0.918481, acc: 0.390625] 16263: [discriminator loss: 0.557841, acc: 0.695312] [adversarial loss: 1.459187, acc: 0.171875] 16264: [discriminator loss: 0.533596, acc: 0.703125] [adversarial loss: 0.918667, acc: 0.437500] 16265: [discriminator loss: 0.564770, acc: 0.710938] [adversarial loss: 1.198737, acc: 0.312500] 16266: [discriminator loss: 0.549020, acc: 0.726562] [adversarial loss: 1.163228, acc: 0.296875] 16267: [discriminator loss: 0.550802, acc: 0.710938] [adversarial loss: 1.087211, acc: 0.218750] 16268: [discriminator loss: 0.470996, acc: 0.796875] [adversarial loss: 1.181775, acc: 0.187500] 16269: [discriminator loss: 0.522740, acc: 0.703125] [adversarial loss: 1.131386, acc: 0.281250] 16270: [discriminator loss: 0.490854, acc: 0.750000] [adversarial loss: 1.161540, acc: 0.375000] 16271: [discriminator loss: 0.521321, acc: 0.718750] [adversarial loss: 1.267514, acc: 0.171875] 16272: [discriminator loss: 0.508231, acc: 0.742188] [adversarial loss: 1.423598, acc: 0.140625] 16273: [discriminator loss: 0.583093, acc: 0.679688] [adversarial loss: 0.902500, acc: 0.468750] 16274: [discriminator loss: 0.549166, acc: 0.695312] [adversarial loss: 1.396081, acc: 0.187500] 16275: [discriminator loss: 0.627152, acc: 0.664062] [adversarial loss: 0.910187, acc: 0.468750] 16276: [discriminator loss: 0.600281, acc: 0.664062] [adversarial loss: 1.522932, acc: 0.187500] 16277: [discriminator loss: 0.543256, acc: 0.671875] [adversarial loss: 0.952272, acc: 0.453125] 16278: [discriminator loss: 0.561489, acc: 0.640625] [adversarial loss: 1.487333, acc: 0.125000] 16279: [discriminator loss: 0.603180, acc: 0.625000] [adversarial loss: 0.943665, acc: 0.359375] 16280: [discriminator loss: 0.522267, acc: 0.757812] [adversarial loss: 1.278951, acc: 0.250000] 16281: [discriminator loss: 0.599343, acc: 0.664062] [adversarial loss: 1.281432, acc: 0.250000] 16282: [discriminator loss: 0.548039, acc: 0.710938] [adversarial loss: 1.504201, acc: 0.187500] 16283: [discriminator loss: 0.575286, acc: 0.664062] [adversarial loss: 0.910311, acc: 0.390625] 16284: [discriminator loss: 0.546572, acc: 0.695312] [adversarial loss: 1.416727, acc: 0.156250] 16285: [discriminator loss: 0.593073, acc: 0.671875] [adversarial loss: 0.795818, acc: 0.500000] 16286: [discriminator loss: 0.613557, acc: 0.656250] [adversarial loss: 1.505251, acc: 0.156250] 16287: [discriminator loss: 0.521111, acc: 0.703125] [adversarial loss: 1.003507, acc: 0.328125] 16288: [discriminator loss: 0.559415, acc: 0.703125] [adversarial loss: 1.265292, acc: 0.125000] 16289: [discriminator loss: 0.537035, acc: 0.703125] [adversarial loss: 1.082872, acc: 0.234375] 16290: [discriminator loss: 0.533937, acc: 0.734375] [adversarial loss: 1.318352, acc: 0.265625] 16291: [discriminator loss: 0.534555, acc: 0.742188] [adversarial loss: 1.147525, acc: 0.343750] 16292: [discriminator loss: 0.542006, acc: 0.695312] [adversarial loss: 1.193179, acc: 0.203125] 16293: [discriminator loss: 0.613066, acc: 0.625000] [adversarial loss: 1.384598, acc: 0.203125] 16294: [discriminator loss: 0.535063, acc: 0.773438] [adversarial loss: 0.852367, acc: 0.390625] 16295: [discriminator loss: 0.602141, acc: 0.648438] [adversarial loss: 1.097841, acc: 0.250000] 16296: [discriminator loss: 0.520834, acc: 0.710938] [adversarial loss: 1.040695, acc: 0.312500] 16297: [discriminator loss: 0.470114, acc: 0.773438] [adversarial loss: 1.333806, acc: 0.093750] 16298: [discriminator loss: 0.541780, acc: 0.718750] [adversarial loss: 0.771626, acc: 0.578125] 16299: [discriminator loss: 0.579599, acc: 0.695312] [adversarial loss: 1.488536, acc: 0.125000] 16300: [discriminator loss: 0.551383, acc: 0.671875] [adversarial loss: 0.640909, acc: 0.640625] 16301: [discriminator loss: 0.651599, acc: 0.679688] [adversarial loss: 1.843195, acc: 0.093750] 16302: [discriminator loss: 0.620959, acc: 0.648438] [adversarial loss: 0.837358, acc: 0.453125] 16303: [discriminator loss: 0.543825, acc: 0.710938] [adversarial loss: 1.265826, acc: 0.218750] 16304: [discriminator loss: 0.532112, acc: 0.757812] [adversarial loss: 1.093289, acc: 0.312500] 16305: [discriminator loss: 0.504042, acc: 0.742188] [adversarial loss: 1.185111, acc: 0.187500] 16306: [discriminator loss: 0.567593, acc: 0.703125] [adversarial loss: 1.038173, acc: 0.390625] 16307: [discriminator loss: 0.446726, acc: 0.843750] [adversarial loss: 1.173289, acc: 0.265625] 16308: [discriminator loss: 0.580205, acc: 0.695312] [adversarial loss: 0.880535, acc: 0.421875] 16309: [discriminator loss: 0.607448, acc: 0.679688] [adversarial loss: 1.292424, acc: 0.234375] 16310: [discriminator loss: 0.494496, acc: 0.750000] [adversarial loss: 1.119599, acc: 0.359375] 16311: [discriminator loss: 0.549318, acc: 0.765625] [adversarial loss: 1.241632, acc: 0.203125] 16312: [discriminator loss: 0.485042, acc: 0.781250] [adversarial loss: 1.154505, acc: 0.234375] 16313: [discriminator loss: 0.478081, acc: 0.773438] [adversarial loss: 1.402861, acc: 0.187500] 16314: [discriminator loss: 0.611753, acc: 0.625000] [adversarial loss: 0.990629, acc: 0.421875] 16315: [discriminator loss: 0.537102, acc: 0.750000] [adversarial loss: 1.216097, acc: 0.312500] 16316: [discriminator loss: 0.569904, acc: 0.695312] [adversarial loss: 1.253526, acc: 0.250000] 16317: [discriminator loss: 0.491158, acc: 0.773438] [adversarial loss: 1.153652, acc: 0.218750] 16318: [discriminator loss: 0.568051, acc: 0.679688] [adversarial loss: 1.334862, acc: 0.156250] 16319: [discriminator loss: 0.561900, acc: 0.710938] [adversarial loss: 0.926718, acc: 0.406250] 16320: [discriminator loss: 0.584325, acc: 0.687500] [adversarial loss: 1.226522, acc: 0.234375] 16321: [discriminator loss: 0.510298, acc: 0.757812] [adversarial loss: 0.914069, acc: 0.421875] 16322: [discriminator loss: 0.612204, acc: 0.632812] [adversarial loss: 1.606169, acc: 0.125000] 16323: [discriminator loss: 0.542308, acc: 0.695312] [adversarial loss: 0.896351, acc: 0.421875] 16324: [discriminator loss: 0.548292, acc: 0.703125] [adversarial loss: 1.431355, acc: 0.156250] 16325: [discriminator loss: 0.584686, acc: 0.617188] [adversarial loss: 0.810762, acc: 0.562500] 16326: [discriminator loss: 0.591954, acc: 0.703125] [adversarial loss: 1.479271, acc: 0.109375] 16327: [discriminator loss: 0.599492, acc: 0.671875] [adversarial loss: 0.885910, acc: 0.406250] 16328: [discriminator loss: 0.525940, acc: 0.742188] [adversarial loss: 1.318613, acc: 0.250000] 16329: [discriminator loss: 0.503407, acc: 0.765625] [adversarial loss: 1.088857, acc: 0.250000] 16330: [discriminator loss: 0.627315, acc: 0.585938] [adversarial loss: 1.383347, acc: 0.125000] 16331: [discriminator loss: 0.544240, acc: 0.742188] [adversarial loss: 0.840764, acc: 0.406250] 16332: [discriminator loss: 0.555003, acc: 0.710938] [adversarial loss: 1.482744, acc: 0.187500] 16333: [discriminator loss: 0.492816, acc: 0.718750] [adversarial loss: 0.939766, acc: 0.421875] 16334: [discriminator loss: 0.555487, acc: 0.679688] [adversarial loss: 1.588679, acc: 0.109375] 16335: [discriminator loss: 0.581736, acc: 0.632812] [adversarial loss: 0.885581, acc: 0.406250] 16336: [discriminator loss: 0.528761, acc: 0.734375] [adversarial loss: 1.467362, acc: 0.140625] 16337: [discriminator loss: 0.523329, acc: 0.734375] [adversarial loss: 1.225415, acc: 0.265625] 16338: [discriminator loss: 0.549480, acc: 0.710938] [adversarial loss: 1.454809, acc: 0.171875] 16339: [discriminator loss: 0.677540, acc: 0.593750] [adversarial loss: 1.035395, acc: 0.343750] 16340: [discriminator loss: 0.586897, acc: 0.648438] [adversarial loss: 1.271656, acc: 0.234375] 16341: [discriminator loss: 0.526658, acc: 0.734375] [adversarial loss: 1.001547, acc: 0.359375] 16342: [discriminator loss: 0.529524, acc: 0.695312] [adversarial loss: 1.240429, acc: 0.234375] 16343: [discriminator loss: 0.582981, acc: 0.687500] [adversarial loss: 0.906651, acc: 0.484375] 16344: [discriminator loss: 0.596374, acc: 0.679688] [adversarial loss: 1.529064, acc: 0.140625] 16345: [discriminator loss: 0.581916, acc: 0.695312] [adversarial loss: 0.956570, acc: 0.468750] 16346: [discriminator loss: 0.593676, acc: 0.687500] [adversarial loss: 1.487716, acc: 0.078125] 16347: [discriminator loss: 0.572186, acc: 0.687500] [adversarial loss: 0.878481, acc: 0.484375] 16348: [discriminator loss: 0.579184, acc: 0.703125] [adversarial loss: 1.361955, acc: 0.093750] 16349: [discriminator loss: 0.550176, acc: 0.726562] [adversarial loss: 0.628272, acc: 0.593750] 16350: [discriminator loss: 0.567971, acc: 0.734375] [adversarial loss: 1.489671, acc: 0.046875] 16351: [discriminator loss: 0.575604, acc: 0.640625] [adversarial loss: 0.851289, acc: 0.500000] 16352: [discriminator loss: 0.518480, acc: 0.734375] [adversarial loss: 1.278380, acc: 0.218750] 16353: [discriminator loss: 0.561174, acc: 0.687500] [adversarial loss: 1.214326, acc: 0.296875] 16354: [discriminator loss: 0.555742, acc: 0.703125] [adversarial loss: 1.352591, acc: 0.140625] 16355: [discriminator loss: 0.561087, acc: 0.687500] [adversarial loss: 0.921971, acc: 0.359375] 16356: [discriminator loss: 0.547247, acc: 0.703125] [adversarial loss: 1.478357, acc: 0.140625] 16357: [discriminator loss: 0.456775, acc: 0.773438] [adversarial loss: 0.915993, acc: 0.468750] 16358: [discriminator loss: 0.542744, acc: 0.710938] [adversarial loss: 1.334997, acc: 0.156250] 16359: [discriminator loss: 0.594535, acc: 0.664062] [adversarial loss: 1.064145, acc: 0.296875] 16360: [discriminator loss: 0.593802, acc: 0.687500] [adversarial loss: 1.296829, acc: 0.187500] 16361: [discriminator loss: 0.592466, acc: 0.632812] [adversarial loss: 0.970902, acc: 0.359375] 16362: [discriminator loss: 0.509634, acc: 0.750000] [adversarial loss: 1.173056, acc: 0.281250] 16363: [discriminator loss: 0.549447, acc: 0.687500] [adversarial loss: 1.086863, acc: 0.359375] 16364: [discriminator loss: 0.539487, acc: 0.750000] [adversarial loss: 1.513026, acc: 0.093750] 16365: [discriminator loss: 0.519269, acc: 0.710938] [adversarial loss: 1.059298, acc: 0.359375] 16366: [discriminator loss: 0.504175, acc: 0.789062] [adversarial loss: 1.512696, acc: 0.234375] 16367: [discriminator loss: 0.587733, acc: 0.703125] [adversarial loss: 1.110169, acc: 0.343750] 16368: [discriminator loss: 0.582938, acc: 0.671875] [adversarial loss: 1.671609, acc: 0.093750] 16369: [discriminator loss: 0.622205, acc: 0.609375] [adversarial loss: 0.910857, acc: 0.437500] 16370: [discriminator loss: 0.652237, acc: 0.609375] [adversarial loss: 1.411164, acc: 0.125000] 16371: [discriminator loss: 0.565560, acc: 0.703125] [adversarial loss: 0.900862, acc: 0.406250] 16372: [discriminator loss: 0.507424, acc: 0.757812] [adversarial loss: 1.256955, acc: 0.234375] 16373: [discriminator loss: 0.540044, acc: 0.710938] [adversarial loss: 0.843023, acc: 0.468750] 16374: [discriminator loss: 0.557877, acc: 0.703125] [adversarial loss: 1.151999, acc: 0.281250] 16375: [discriminator loss: 0.526446, acc: 0.687500] [adversarial loss: 1.464980, acc: 0.203125] 16376: [discriminator loss: 0.553263, acc: 0.679688] [adversarial loss: 1.011276, acc: 0.406250] 16377: [discriminator loss: 0.550259, acc: 0.710938] [adversarial loss: 1.350925, acc: 0.171875] 16378: [discriminator loss: 0.568005, acc: 0.687500] [adversarial loss: 1.153030, acc: 0.281250] 16379: [discriminator loss: 0.541685, acc: 0.726562] [adversarial loss: 1.396970, acc: 0.187500] 16380: [discriminator loss: 0.537683, acc: 0.710938] [adversarial loss: 0.844108, acc: 0.515625] 16381: [discriminator loss: 0.592280, acc: 0.671875] [adversarial loss: 1.669652, acc: 0.078125] 16382: [discriminator loss: 0.591749, acc: 0.656250] [adversarial loss: 0.887147, acc: 0.437500] 16383: [discriminator loss: 0.565779, acc: 0.671875] [adversarial loss: 1.470448, acc: 0.171875] 16384: [discriminator loss: 0.507004, acc: 0.765625] [adversarial loss: 0.936232, acc: 0.437500] 16385: [discriminator loss: 0.526616, acc: 0.765625] [adversarial loss: 1.133539, acc: 0.312500] 16386: [discriminator loss: 0.532723, acc: 0.742188] [adversarial loss: 1.189468, acc: 0.203125] 16387: [discriminator loss: 0.602404, acc: 0.664062] [adversarial loss: 0.995688, acc: 0.390625] 16388: [discriminator loss: 0.526608, acc: 0.742188] [adversarial loss: 1.144657, acc: 0.250000] 16389: [discriminator loss: 0.545233, acc: 0.734375] [adversarial loss: 1.055356, acc: 0.312500] 16390: [discriminator loss: 0.563297, acc: 0.734375] [adversarial loss: 1.282443, acc: 0.234375] 16391: [discriminator loss: 0.513433, acc: 0.750000] [adversarial loss: 1.125852, acc: 0.250000] 16392: [discriminator loss: 0.614642, acc: 0.695312] [adversarial loss: 1.054445, acc: 0.359375] 16393: [discriminator loss: 0.511474, acc: 0.710938] [adversarial loss: 0.895744, acc: 0.421875] 16394: [discriminator loss: 0.569025, acc: 0.664062] [adversarial loss: 1.367823, acc: 0.140625] 16395: [discriminator loss: 0.589177, acc: 0.695312] [adversarial loss: 0.847693, acc: 0.484375] 16396: [discriminator loss: 0.548117, acc: 0.695312] [adversarial loss: 1.808652, acc: 0.000000] 16397: [discriminator loss: 0.615387, acc: 0.664062] [adversarial loss: 0.744257, acc: 0.500000] 16398: [discriminator loss: 0.570270, acc: 0.695312] [adversarial loss: 1.422007, acc: 0.140625] 16399: [discriminator loss: 0.567041, acc: 0.687500] [adversarial loss: 0.999860, acc: 0.328125] 16400: [discriminator loss: 0.545999, acc: 0.710938] [adversarial loss: 1.339268, acc: 0.203125] 16401: [discriminator loss: 0.571689, acc: 0.695312] [adversarial loss: 1.102353, acc: 0.390625] 16402: [discriminator loss: 0.598811, acc: 0.695312] [adversarial loss: 1.123102, acc: 0.265625] 16403: [discriminator loss: 0.529648, acc: 0.718750] [adversarial loss: 1.226299, acc: 0.218750] 16404: [discriminator loss: 0.542028, acc: 0.703125] [adversarial loss: 0.813551, acc: 0.421875] 16405: [discriminator loss: 0.528824, acc: 0.742188] [adversarial loss: 1.564717, acc: 0.109375] 16406: [discriminator loss: 0.556991, acc: 0.703125] [adversarial loss: 0.939911, acc: 0.390625] 16407: [discriminator loss: 0.484172, acc: 0.781250] [adversarial loss: 1.151350, acc: 0.281250] 16408: [discriminator loss: 0.553292, acc: 0.734375] [adversarial loss: 1.172965, acc: 0.312500] 16409: [discriminator loss: 0.485460, acc: 0.789062] [adversarial loss: 1.065522, acc: 0.250000] 16410: [discriminator loss: 0.544489, acc: 0.695312] [adversarial loss: 1.076329, acc: 0.281250] 16411: [discriminator loss: 0.546821, acc: 0.757812] [adversarial loss: 1.238183, acc: 0.234375] 16412: [discriminator loss: 0.554344, acc: 0.695312] [adversarial loss: 0.723863, acc: 0.562500] 16413: [discriminator loss: 0.610299, acc: 0.703125] [adversarial loss: 1.373800, acc: 0.171875] 16414: [discriminator loss: 0.591885, acc: 0.671875] [adversarial loss: 0.925679, acc: 0.421875] 16415: [discriminator loss: 0.598692, acc: 0.734375] [adversarial loss: 1.152630, acc: 0.265625] 16416: [discriminator loss: 0.572126, acc: 0.671875] [adversarial loss: 1.216160, acc: 0.203125] 16417: [discriminator loss: 0.592006, acc: 0.679688] [adversarial loss: 1.214078, acc: 0.156250] 16418: [discriminator loss: 0.511717, acc: 0.757812] [adversarial loss: 0.933545, acc: 0.390625] 16419: [discriminator loss: 0.562577, acc: 0.679688] [adversarial loss: 1.406353, acc: 0.109375] 16420: [discriminator loss: 0.568617, acc: 0.703125] [adversarial loss: 0.968992, acc: 0.390625] 16421: [discriminator loss: 0.527083, acc: 0.742188] [adversarial loss: 1.363355, acc: 0.140625] 16422: [discriminator loss: 0.556539, acc: 0.703125] [adversarial loss: 0.664121, acc: 0.578125] 16423: [discriminator loss: 0.577956, acc: 0.664062] [adversarial loss: 1.555062, acc: 0.140625] 16424: [discriminator loss: 0.559053, acc: 0.726562] [adversarial loss: 0.841233, acc: 0.500000] 16425: [discriminator loss: 0.513656, acc: 0.718750] [adversarial loss: 1.245255, acc: 0.250000] 16426: [discriminator loss: 0.604162, acc: 0.609375] [adversarial loss: 0.987813, acc: 0.359375] 16427: [discriminator loss: 0.555305, acc: 0.679688] [adversarial loss: 1.155798, acc: 0.250000] 16428: [discriminator loss: 0.491647, acc: 0.804688] [adversarial loss: 1.321807, acc: 0.234375] 16429: [discriminator loss: 0.548533, acc: 0.687500] [adversarial loss: 1.022248, acc: 0.359375] 16430: [discriminator loss: 0.566167, acc: 0.710938] [adversarial loss: 1.092224, acc: 0.296875] 16431: [discriminator loss: 0.602902, acc: 0.656250] [adversarial loss: 1.072111, acc: 0.375000] 16432: [discriminator loss: 0.545590, acc: 0.718750] [adversarial loss: 1.392768, acc: 0.109375] 16433: [discriminator loss: 0.597258, acc: 0.671875] [adversarial loss: 0.970645, acc: 0.390625] 16434: [discriminator loss: 0.561722, acc: 0.695312] [adversarial loss: 1.430965, acc: 0.156250] 16435: [discriminator loss: 0.514632, acc: 0.718750] [adversarial loss: 0.973587, acc: 0.375000] 16436: [discriminator loss: 0.573223, acc: 0.710938] [adversarial loss: 1.418652, acc: 0.140625] 16437: [discriminator loss: 0.588323, acc: 0.632812] [adversarial loss: 1.148268, acc: 0.328125] 16438: [discriminator loss: 0.447630, acc: 0.812500] [adversarial loss: 1.010313, acc: 0.500000] 16439: [discriminator loss: 0.599976, acc: 0.679688] [adversarial loss: 1.634437, acc: 0.109375] 16440: [discriminator loss: 0.551185, acc: 0.710938] [adversarial loss: 0.708706, acc: 0.625000] 16441: [discriminator loss: 0.652955, acc: 0.625000] [adversarial loss: 1.565956, acc: 0.109375] 16442: [discriminator loss: 0.551648, acc: 0.664062] [adversarial loss: 0.864188, acc: 0.500000] 16443: [discriminator loss: 0.642617, acc: 0.632812] [adversarial loss: 1.384617, acc: 0.125000] 16444: [discriminator loss: 0.524225, acc: 0.742188] [adversarial loss: 0.886887, acc: 0.437500] 16445: [discriminator loss: 0.489644, acc: 0.820312] [adversarial loss: 1.260740, acc: 0.234375] 16446: [discriminator loss: 0.596090, acc: 0.695312] [adversarial loss: 1.575771, acc: 0.171875] 16447: [discriminator loss: 0.587162, acc: 0.695312] [adversarial loss: 1.009460, acc: 0.328125] 16448: [discriminator loss: 0.535913, acc: 0.718750] [adversarial loss: 1.346722, acc: 0.187500] 16449: [discriminator loss: 0.507834, acc: 0.726562] [adversarial loss: 0.957206, acc: 0.375000] 16450: [discriminator loss: 0.546354, acc: 0.718750] [adversarial loss: 1.228964, acc: 0.250000] 16451: [discriminator loss: 0.516596, acc: 0.773438] [adversarial loss: 1.226381, acc: 0.203125] 16452: [discriminator loss: 0.553897, acc: 0.687500] [adversarial loss: 1.162310, acc: 0.265625] 16453: [discriminator loss: 0.591735, acc: 0.664062] [adversarial loss: 1.066222, acc: 0.328125] 16454: [discriminator loss: 0.545401, acc: 0.710938] [adversarial loss: 1.437853, acc: 0.125000] 16455: [discriminator loss: 0.533441, acc: 0.710938] [adversarial loss: 1.231316, acc: 0.250000] 16456: [discriminator loss: 0.520789, acc: 0.765625] [adversarial loss: 1.109460, acc: 0.312500] 16457: [discriminator loss: 0.540735, acc: 0.679688] [adversarial loss: 1.536647, acc: 0.109375] 16458: [discriminator loss: 0.565588, acc: 0.710938] [adversarial loss: 0.790831, acc: 0.515625] 16459: [discriminator loss: 0.601828, acc: 0.648438] [adversarial loss: 1.631061, acc: 0.062500] 16460: [discriminator loss: 0.648534, acc: 0.632812] [adversarial loss: 0.823017, acc: 0.515625] 16461: [discriminator loss: 0.570517, acc: 0.679688] [adversarial loss: 1.569509, acc: 0.078125] 16462: [discriminator loss: 0.584477, acc: 0.656250] [adversarial loss: 1.003017, acc: 0.375000] 16463: [discriminator loss: 0.584040, acc: 0.687500] [adversarial loss: 1.272473, acc: 0.109375] 16464: [discriminator loss: 0.543141, acc: 0.757812] [adversarial loss: 1.031646, acc: 0.312500] 16465: [discriminator loss: 0.601627, acc: 0.648438] [adversarial loss: 1.294857, acc: 0.156250] 16466: [discriminator loss: 0.538867, acc: 0.750000] [adversarial loss: 1.136364, acc: 0.359375] 16467: [discriminator loss: 0.528590, acc: 0.742188] [adversarial loss: 1.101069, acc: 0.281250] 16468: [discriminator loss: 0.552966, acc: 0.718750] [adversarial loss: 1.276488, acc: 0.203125] 16469: [discriminator loss: 0.516233, acc: 0.718750] [adversarial loss: 1.038254, acc: 0.312500] 16470: [discriminator loss: 0.532813, acc: 0.734375] [adversarial loss: 1.248689, acc: 0.125000] 16471: [discriminator loss: 0.583341, acc: 0.671875] [adversarial loss: 1.004523, acc: 0.406250] 16472: [discriminator loss: 0.524483, acc: 0.710938] [adversarial loss: 1.596479, acc: 0.078125] 16473: [discriminator loss: 0.599029, acc: 0.648438] [adversarial loss: 1.088665, acc: 0.312500] 16474: [discriminator loss: 0.593616, acc: 0.648438] [adversarial loss: 1.450144, acc: 0.078125] 16475: [discriminator loss: 0.595214, acc: 0.648438] [adversarial loss: 1.003964, acc: 0.375000] 16476: [discriminator loss: 0.575174, acc: 0.687500] [adversarial loss: 1.540196, acc: 0.109375] 16477: [discriminator loss: 0.549618, acc: 0.710938] [adversarial loss: 0.921642, acc: 0.328125] 16478: [discriminator loss: 0.576989, acc: 0.687500] [adversarial loss: 1.424760, acc: 0.187500] 16479: [discriminator loss: 0.527384, acc: 0.726562] [adversarial loss: 0.878030, acc: 0.484375] 16480: [discriminator loss: 0.549857, acc: 0.718750] [adversarial loss: 1.057699, acc: 0.328125] 16481: [discriminator loss: 0.615195, acc: 0.656250] [adversarial loss: 1.104476, acc: 0.281250] 16482: [discriminator loss: 0.558400, acc: 0.703125] [adversarial loss: 1.202945, acc: 0.250000] 16483: [discriminator loss: 0.539830, acc: 0.734375] [adversarial loss: 1.219462, acc: 0.218750] 16484: [discriminator loss: 0.535328, acc: 0.734375] [adversarial loss: 0.867992, acc: 0.468750] 16485: [discriminator loss: 0.609387, acc: 0.671875] [adversarial loss: 1.642212, acc: 0.046875] 16486: [discriminator loss: 0.549042, acc: 0.687500] [adversarial loss: 0.733544, acc: 0.578125] 16487: [discriminator loss: 0.554908, acc: 0.742188] [adversarial loss: 1.291972, acc: 0.156250] 16488: [discriminator loss: 0.572920, acc: 0.695312] [adversarial loss: 0.971440, acc: 0.421875] 16489: [discriminator loss: 0.549796, acc: 0.679688] [adversarial loss: 0.986291, acc: 0.312500] 16490: [discriminator loss: 0.609591, acc: 0.695312] [adversarial loss: 1.181771, acc: 0.296875] 16491: [discriminator loss: 0.570699, acc: 0.664062] [adversarial loss: 1.148240, acc: 0.218750] 16492: [discriminator loss: 0.549769, acc: 0.710938] [adversarial loss: 0.740325, acc: 0.625000] 16493: [discriminator loss: 0.486566, acc: 0.765625] [adversarial loss: 1.545189, acc: 0.125000] 16494: [discriminator loss: 0.581227, acc: 0.703125] [adversarial loss: 0.777606, acc: 0.484375] 16495: [discriminator loss: 0.595011, acc: 0.671875] [adversarial loss: 1.401486, acc: 0.140625] 16496: [discriminator loss: 0.566428, acc: 0.710938] [adversarial loss: 0.918228, acc: 0.437500] 16497: [discriminator loss: 0.596724, acc: 0.718750] [adversarial loss: 1.295686, acc: 0.218750] 16498: [discriminator loss: 0.566368, acc: 0.687500] [adversarial loss: 0.712167, acc: 0.500000] 16499: [discriminator loss: 0.642809, acc: 0.625000] [adversarial loss: 1.705696, acc: 0.078125] 16500: [discriminator loss: 0.659088, acc: 0.617188] [adversarial loss: 0.981954, acc: 0.343750] 16501: [discriminator loss: 0.552024, acc: 0.695312] [adversarial loss: 1.417499, acc: 0.109375] 16502: [discriminator loss: 0.533408, acc: 0.757812] [adversarial loss: 1.071023, acc: 0.343750] 16503: [discriminator loss: 0.469448, acc: 0.765625] [adversarial loss: 1.201905, acc: 0.250000] 16504: [discriminator loss: 0.536111, acc: 0.742188] [adversarial loss: 1.073745, acc: 0.343750] 16505: [discriminator loss: 0.538916, acc: 0.757812] [adversarial loss: 1.466813, acc: 0.156250] 16506: [discriminator loss: 0.556052, acc: 0.710938] [adversarial loss: 0.941951, acc: 0.375000] 16507: [discriminator loss: 0.575376, acc: 0.750000] [adversarial loss: 1.474875, acc: 0.171875] 16508: [discriminator loss: 0.565374, acc: 0.718750] [adversarial loss: 0.898492, acc: 0.500000] 16509: [discriminator loss: 0.540848, acc: 0.757812] [adversarial loss: 1.405109, acc: 0.187500] 16510: [discriminator loss: 0.602823, acc: 0.632812] [adversarial loss: 1.066580, acc: 0.296875] 16511: [discriminator loss: 0.561056, acc: 0.726562] [adversarial loss: 1.126171, acc: 0.156250] 16512: [discriminator loss: 0.591064, acc: 0.656250] [adversarial loss: 1.250749, acc: 0.234375] 16513: [discriminator loss: 0.512492, acc: 0.757812] [adversarial loss: 1.224155, acc: 0.218750] 16514: [discriminator loss: 0.548583, acc: 0.734375] [adversarial loss: 1.115100, acc: 0.218750] 16515: [discriminator loss: 0.604841, acc: 0.640625] [adversarial loss: 0.913466, acc: 0.421875] 16516: [discriminator loss: 0.637332, acc: 0.664062] [adversarial loss: 1.501442, acc: 0.171875] 16517: [discriminator loss: 0.568388, acc: 0.695312] [adversarial loss: 0.743296, acc: 0.515625] 16518: [discriminator loss: 0.649497, acc: 0.648438] [adversarial loss: 1.797110, acc: 0.093750] 16519: [discriminator loss: 0.625569, acc: 0.632812] [adversarial loss: 0.936437, acc: 0.453125] 16520: [discriminator loss: 0.496263, acc: 0.710938] [adversarial loss: 1.114261, acc: 0.281250] 16521: [discriminator loss: 0.514746, acc: 0.765625] [adversarial loss: 1.246392, acc: 0.203125] 16522: [discriminator loss: 0.579170, acc: 0.687500] [adversarial loss: 1.151054, acc: 0.265625] 16523: [discriminator loss: 0.503276, acc: 0.742188] [adversarial loss: 1.188338, acc: 0.156250] 16524: [discriminator loss: 0.486302, acc: 0.781250] [adversarial loss: 1.104193, acc: 0.312500] 16525: [discriminator loss: 0.566377, acc: 0.679688] [adversarial loss: 1.355540, acc: 0.156250] 16526: [discriminator loss: 0.525044, acc: 0.750000] [adversarial loss: 1.318773, acc: 0.156250] 16527: [discriminator loss: 0.606123, acc: 0.671875] [adversarial loss: 1.321202, acc: 0.234375] 16528: [discriminator loss: 0.613272, acc: 0.726562] [adversarial loss: 0.840347, acc: 0.453125] 16529: [discriminator loss: 0.601084, acc: 0.687500] [adversarial loss: 1.711484, acc: 0.125000] 16530: [discriminator loss: 0.574679, acc: 0.671875] [adversarial loss: 0.684072, acc: 0.593750] 16531: [discriminator loss: 0.551496, acc: 0.703125] [adversarial loss: 1.368918, acc: 0.171875] 16532: [discriminator loss: 0.612822, acc: 0.671875] [adversarial loss: 0.964459, acc: 0.390625] 16533: [discriminator loss: 0.612173, acc: 0.710938] [adversarial loss: 1.129095, acc: 0.312500] 16534: [discriminator loss: 0.519103, acc: 0.718750] [adversarial loss: 1.101081, acc: 0.343750] 16535: [discriminator loss: 0.659057, acc: 0.671875] [adversarial loss: 1.412875, acc: 0.140625] 16536: [discriminator loss: 0.526388, acc: 0.679688] [adversarial loss: 0.970945, acc: 0.421875] 16537: [discriminator loss: 0.566075, acc: 0.710938] [adversarial loss: 1.465076, acc: 0.125000] 16538: [discriminator loss: 0.607639, acc: 0.687500] [adversarial loss: 0.967323, acc: 0.359375] 16539: [discriminator loss: 0.488040, acc: 0.781250] [adversarial loss: 1.186721, acc: 0.250000] 16540: [discriminator loss: 0.505360, acc: 0.750000] [adversarial loss: 1.409846, acc: 0.234375] 16541: [discriminator loss: 0.581597, acc: 0.679688] [adversarial loss: 1.067431, acc: 0.312500] 16542: [discriminator loss: 0.525783, acc: 0.710938] [adversarial loss: 1.160777, acc: 0.281250] 16543: [discriminator loss: 0.582645, acc: 0.648438] [adversarial loss: 1.166733, acc: 0.187500] 16544: [discriminator loss: 0.589633, acc: 0.617188] [adversarial loss: 1.508263, acc: 0.093750] 16545: [discriminator loss: 0.465057, acc: 0.789062] [adversarial loss: 1.150420, acc: 0.234375] 16546: [discriminator loss: 0.574643, acc: 0.734375] [adversarial loss: 1.297657, acc: 0.140625] 16547: [discriminator loss: 0.554607, acc: 0.671875] [adversarial loss: 1.033722, acc: 0.234375] 16548: [discriminator loss: 0.543786, acc: 0.710938] [adversarial loss: 1.491999, acc: 0.125000] 16549: [discriminator loss: 0.475162, acc: 0.789062] [adversarial loss: 1.101047, acc: 0.296875] 16550: [discriminator loss: 0.571603, acc: 0.703125] [adversarial loss: 1.110757, acc: 0.312500] 16551: [discriminator loss: 0.554524, acc: 0.726562] [adversarial loss: 0.974538, acc: 0.343750] 16552: [discriminator loss: 0.603338, acc: 0.679688] [adversarial loss: 1.273319, acc: 0.265625] 16553: [discriminator loss: 0.535443, acc: 0.757812] [adversarial loss: 0.799299, acc: 0.500000] 16554: [discriminator loss: 0.587820, acc: 0.648438] [adversarial loss: 1.618768, acc: 0.093750] 16555: [discriminator loss: 0.502998, acc: 0.742188] [adversarial loss: 1.066508, acc: 0.265625] 16556: [discriminator loss: 0.483589, acc: 0.773438] [adversarial loss: 1.081238, acc: 0.296875] 16557: [discriminator loss: 0.543145, acc: 0.695312] [adversarial loss: 0.879848, acc: 0.484375] 16558: [discriminator loss: 0.480987, acc: 0.796875] [adversarial loss: 1.091857, acc: 0.343750] 16559: [discriminator loss: 0.530774, acc: 0.750000] [adversarial loss: 0.887869, acc: 0.468750] 16560: [discriminator loss: 0.502140, acc: 0.757812] [adversarial loss: 1.359794, acc: 0.218750] 16561: [discriminator loss: 0.543884, acc: 0.695312] [adversarial loss: 1.171389, acc: 0.265625] 16562: [discriminator loss: 0.586727, acc: 0.687500] [adversarial loss: 1.075169, acc: 0.281250] 16563: [discriminator loss: 0.607291, acc: 0.656250] [adversarial loss: 1.185884, acc: 0.234375] 16564: [discriminator loss: 0.575476, acc: 0.656250] [adversarial loss: 0.904673, acc: 0.421875] 16565: [discriminator loss: 0.592317, acc: 0.695312] [adversarial loss: 1.657902, acc: 0.062500] 16566: [discriminator loss: 0.641582, acc: 0.664062] [adversarial loss: 0.860527, acc: 0.453125] 16567: [discriminator loss: 0.611843, acc: 0.671875] [adversarial loss: 1.611560, acc: 0.062500] 16568: [discriminator loss: 0.540645, acc: 0.718750] [adversarial loss: 0.931433, acc: 0.343750] 16569: [discriminator loss: 0.535168, acc: 0.718750] [adversarial loss: 1.412380, acc: 0.250000] 16570: [discriminator loss: 0.530670, acc: 0.742188] [adversarial loss: 0.964715, acc: 0.375000] 16571: [discriminator loss: 0.557905, acc: 0.718750] [adversarial loss: 1.566774, acc: 0.125000] 16572: [discriminator loss: 0.503615, acc: 0.750000] [adversarial loss: 1.078472, acc: 0.343750] 16573: [discriminator loss: 0.455895, acc: 0.835938] [adversarial loss: 1.317509, acc: 0.156250] 16574: [discriminator loss: 0.597422, acc: 0.671875] [adversarial loss: 0.993498, acc: 0.296875] 16575: [discriminator loss: 0.568427, acc: 0.695312] [adversarial loss: 1.239812, acc: 0.281250] 16576: [discriminator loss: 0.567055, acc: 0.687500] [adversarial loss: 0.989778, acc: 0.343750] 16577: [discriminator loss: 0.591269, acc: 0.687500] [adversarial loss: 0.961953, acc: 0.312500] 16578: [discriminator loss: 0.543411, acc: 0.703125] [adversarial loss: 1.392583, acc: 0.156250] 16579: [discriminator loss: 0.567337, acc: 0.718750] [adversarial loss: 1.213380, acc: 0.265625] 16580: [discriminator loss: 0.556302, acc: 0.664062] [adversarial loss: 0.938391, acc: 0.406250] 16581: [discriminator loss: 0.542789, acc: 0.695312] [adversarial loss: 1.066249, acc: 0.406250] 16582: [discriminator loss: 0.567511, acc: 0.687500] [adversarial loss: 1.049960, acc: 0.281250] 16583: [discriminator loss: 0.514220, acc: 0.750000] [adversarial loss: 1.029934, acc: 0.281250] 16584: [discriminator loss: 0.569543, acc: 0.726562] [adversarial loss: 1.080841, acc: 0.375000] 16585: [discriminator loss: 0.527099, acc: 0.687500] [adversarial loss: 0.996561, acc: 0.328125] 16586: [discriminator loss: 0.572494, acc: 0.687500] [adversarial loss: 1.694037, acc: 0.046875] 16587: [discriminator loss: 0.550067, acc: 0.703125] [adversarial loss: 0.947924, acc: 0.390625] 16588: [discriminator loss: 0.647278, acc: 0.640625] [adversarial loss: 1.540180, acc: 0.093750] 16589: [discriminator loss: 0.559093, acc: 0.679688] [adversarial loss: 0.906580, acc: 0.390625] 16590: [discriminator loss: 0.635125, acc: 0.593750] [adversarial loss: 1.475986, acc: 0.156250] 16591: [discriminator loss: 0.559734, acc: 0.710938] [adversarial loss: 1.078160, acc: 0.328125] 16592: [discriminator loss: 0.597321, acc: 0.679688] [adversarial loss: 1.302639, acc: 0.078125] 16593: [discriminator loss: 0.579567, acc: 0.679688] [adversarial loss: 0.852812, acc: 0.546875] 16594: [discriminator loss: 0.560888, acc: 0.734375] [adversarial loss: 1.363178, acc: 0.203125] 16595: [discriminator loss: 0.589678, acc: 0.710938] [adversarial loss: 0.982562, acc: 0.359375] 16596: [discriminator loss: 0.523493, acc: 0.765625] [adversarial loss: 1.329396, acc: 0.234375] 16597: [discriminator loss: 0.564053, acc: 0.671875] [adversarial loss: 1.013070, acc: 0.328125] 16598: [discriminator loss: 0.494331, acc: 0.726562] [adversarial loss: 1.359056, acc: 0.140625] 16599: [discriminator loss: 0.576874, acc: 0.664062] [adversarial loss: 0.846692, acc: 0.406250] 16600: [discriminator loss: 0.501014, acc: 0.765625] [adversarial loss: 1.380052, acc: 0.140625] 16601: [discriminator loss: 0.514594, acc: 0.718750] [adversarial loss: 1.181602, acc: 0.265625] 16602: [discriminator loss: 0.517035, acc: 0.750000] [adversarial loss: 1.189434, acc: 0.328125] 16603: [discriminator loss: 0.568711, acc: 0.718750] [adversarial loss: 1.454076, acc: 0.171875] 16604: [discriminator loss: 0.560210, acc: 0.687500] [adversarial loss: 0.822186, acc: 0.531250] 16605: [discriminator loss: 0.556168, acc: 0.710938] [adversarial loss: 1.711277, acc: 0.046875] 16606: [discriminator loss: 0.596333, acc: 0.648438] [adversarial loss: 0.921135, acc: 0.406250] 16607: [discriminator loss: 0.623214, acc: 0.671875] [adversarial loss: 1.449931, acc: 0.156250] 16608: [discriminator loss: 0.595704, acc: 0.648438] [adversarial loss: 1.110591, acc: 0.328125] 16609: [discriminator loss: 0.533643, acc: 0.734375] [adversarial loss: 1.230514, acc: 0.203125] 16610: [discriminator loss: 0.622042, acc: 0.640625] [adversarial loss: 0.864443, acc: 0.468750] 16611: [discriminator loss: 0.533247, acc: 0.734375] [adversarial loss: 1.482510, acc: 0.078125] 16612: [discriminator loss: 0.543032, acc: 0.718750] [adversarial loss: 1.041727, acc: 0.375000] 16613: [discriminator loss: 0.553662, acc: 0.726562] [adversarial loss: 1.361124, acc: 0.187500] 16614: [discriminator loss: 0.488207, acc: 0.773438] [adversarial loss: 1.088686, acc: 0.265625] 16615: [discriminator loss: 0.527952, acc: 0.710938] [adversarial loss: 1.170351, acc: 0.234375] 16616: [discriminator loss: 0.528323, acc: 0.765625] [adversarial loss: 0.990810, acc: 0.312500] 16617: [discriminator loss: 0.540331, acc: 0.726562] [adversarial loss: 1.414211, acc: 0.109375] 16618: [discriminator loss: 0.603202, acc: 0.671875] [adversarial loss: 0.812139, acc: 0.578125] 16619: [discriminator loss: 0.574178, acc: 0.687500] [adversarial loss: 1.663381, acc: 0.109375] 16620: [discriminator loss: 0.517382, acc: 0.742188] [adversarial loss: 0.855274, acc: 0.484375] 16621: [discriminator loss: 0.637775, acc: 0.640625] [adversarial loss: 1.378272, acc: 0.218750] 16622: [discriminator loss: 0.532557, acc: 0.710938] [adversarial loss: 0.788559, acc: 0.500000] 16623: [discriminator loss: 0.616880, acc: 0.687500] [adversarial loss: 1.340891, acc: 0.156250] 16624: [discriminator loss: 0.544689, acc: 0.648438] [adversarial loss: 1.096212, acc: 0.265625] 16625: [discriminator loss: 0.563055, acc: 0.734375] [adversarial loss: 0.925078, acc: 0.343750] 16626: [discriminator loss: 0.635051, acc: 0.617188] [adversarial loss: 1.442064, acc: 0.140625] 16627: [discriminator loss: 0.551544, acc: 0.695312] [adversarial loss: 1.138586, acc: 0.265625] 16628: [discriminator loss: 0.550906, acc: 0.726562] [adversarial loss: 1.021992, acc: 0.390625] 16629: [discriminator loss: 0.489188, acc: 0.781250] [adversarial loss: 1.170852, acc: 0.234375] 16630: [discriminator loss: 0.480389, acc: 0.796875] [adversarial loss: 0.969917, acc: 0.390625] 16631: [discriminator loss: 0.547809, acc: 0.757812] [adversarial loss: 1.415218, acc: 0.125000] 16632: [discriminator loss: 0.508469, acc: 0.734375] [adversarial loss: 1.142874, acc: 0.265625] 16633: [discriminator loss: 0.572437, acc: 0.703125] [adversarial loss: 1.114618, acc: 0.359375] 16634: [discriminator loss: 0.607810, acc: 0.703125] [adversarial loss: 1.229064, acc: 0.265625] 16635: [discriminator loss: 0.575824, acc: 0.703125] [adversarial loss: 0.972433, acc: 0.312500] 16636: [discriminator loss: 0.575968, acc: 0.679688] [adversarial loss: 1.225356, acc: 0.250000] 16637: [discriminator loss: 0.559648, acc: 0.703125] [adversarial loss: 0.974828, acc: 0.390625] 16638: [discriminator loss: 0.607153, acc: 0.664062] [adversarial loss: 1.308156, acc: 0.140625] 16639: [discriminator loss: 0.589756, acc: 0.679688] [adversarial loss: 1.165856, acc: 0.234375] 16640: [discriminator loss: 0.575710, acc: 0.656250] [adversarial loss: 1.329076, acc: 0.187500] 16641: [discriminator loss: 0.516037, acc: 0.757812] [adversarial loss: 0.951982, acc: 0.421875] 16642: [discriminator loss: 0.541649, acc: 0.710938] [adversarial loss: 1.367957, acc: 0.187500] 16643: [discriminator loss: 0.514683, acc: 0.687500] [adversarial loss: 1.007530, acc: 0.437500] 16644: [discriminator loss: 0.548083, acc: 0.679688] [adversarial loss: 1.401984, acc: 0.093750] 16645: [discriminator loss: 0.553537, acc: 0.703125] [adversarial loss: 0.938880, acc: 0.359375] 16646: [discriminator loss: 0.578974, acc: 0.632812] [adversarial loss: 1.525611, acc: 0.140625] 16647: [discriminator loss: 0.574291, acc: 0.695312] [adversarial loss: 0.930519, acc: 0.468750] 16648: [discriminator loss: 0.553337, acc: 0.695312] [adversarial loss: 1.561969, acc: 0.093750] 16649: [discriminator loss: 0.540983, acc: 0.742188] [adversarial loss: 1.017195, acc: 0.312500] 16650: [discriminator loss: 0.595727, acc: 0.664062] [adversarial loss: 1.220630, acc: 0.218750] 16651: [discriminator loss: 0.556667, acc: 0.703125] [adversarial loss: 1.058039, acc: 0.328125] 16652: [discriminator loss: 0.567504, acc: 0.664062] [adversarial loss: 1.426996, acc: 0.125000] 16653: [discriminator loss: 0.514145, acc: 0.757812] [adversarial loss: 1.145224, acc: 0.343750] 16654: [discriminator loss: 0.576401, acc: 0.695312] [adversarial loss: 1.313790, acc: 0.218750] 16655: [discriminator loss: 0.581521, acc: 0.710938] [adversarial loss: 0.963112, acc: 0.390625] 16656: [discriminator loss: 0.579955, acc: 0.695312] [adversarial loss: 1.418866, acc: 0.203125] 16657: [discriminator loss: 0.522964, acc: 0.750000] [adversarial loss: 1.039865, acc: 0.359375] 16658: [discriminator loss: 0.608014, acc: 0.648438] [adversarial loss: 1.339770, acc: 0.140625] 16659: [discriminator loss: 0.563564, acc: 0.648438] [adversarial loss: 0.969650, acc: 0.343750] 16660: [discriminator loss: 0.578097, acc: 0.687500] [adversarial loss: 1.593860, acc: 0.062500] 16661: [discriminator loss: 0.483196, acc: 0.742188] [adversarial loss: 0.838354, acc: 0.453125] 16662: [discriminator loss: 0.557272, acc: 0.734375] [adversarial loss: 1.235001, acc: 0.171875] 16663: [discriminator loss: 0.504593, acc: 0.781250] [adversarial loss: 1.213472, acc: 0.281250] 16664: [discriminator loss: 0.529878, acc: 0.742188] [adversarial loss: 1.129600, acc: 0.265625] 16665: [discriminator loss: 0.572047, acc: 0.703125] [adversarial loss: 1.277593, acc: 0.171875] 16666: [discriminator loss: 0.585696, acc: 0.640625] [adversarial loss: 1.037803, acc: 0.296875] 16667: [discriminator loss: 0.512124, acc: 0.765625] [adversarial loss: 1.006014, acc: 0.281250] 16668: [discriminator loss: 0.545767, acc: 0.726562] [adversarial loss: 1.134243, acc: 0.343750] 16669: [discriminator loss: 0.517659, acc: 0.726562] [adversarial loss: 1.127990, acc: 0.281250] 16670: [discriminator loss: 0.516966, acc: 0.710938] [adversarial loss: 1.128295, acc: 0.250000] 16671: [discriminator loss: 0.579728, acc: 0.679688] [adversarial loss: 1.077699, acc: 0.328125] 16672: [discriminator loss: 0.533324, acc: 0.742188] [adversarial loss: 1.104471, acc: 0.218750] 16673: [discriminator loss: 0.530928, acc: 0.726562] [adversarial loss: 1.385904, acc: 0.265625] 16674: [discriminator loss: 0.526017, acc: 0.710938] [adversarial loss: 0.847293, acc: 0.484375] 16675: [discriminator loss: 0.587593, acc: 0.695312] [adversarial loss: 1.642934, acc: 0.078125] 16676: [discriminator loss: 0.556792, acc: 0.679688] [adversarial loss: 0.798561, acc: 0.515625] 16677: [discriminator loss: 0.619122, acc: 0.664062] [adversarial loss: 1.443094, acc: 0.093750] 16678: [discriminator loss: 0.576764, acc: 0.695312] [adversarial loss: 0.848236, acc: 0.453125] 16679: [discriminator loss: 0.572621, acc: 0.710938] [adversarial loss: 1.217068, acc: 0.281250] 16680: [discriminator loss: 0.585530, acc: 0.664062] [adversarial loss: 0.992630, acc: 0.406250] 16681: [discriminator loss: 0.511140, acc: 0.750000] [adversarial loss: 1.248128, acc: 0.218750] 16682: [discriminator loss: 0.502172, acc: 0.750000] [adversarial loss: 1.239197, acc: 0.296875] 16683: [discriminator loss: 0.513015, acc: 0.742188] [adversarial loss: 1.294518, acc: 0.218750] 16684: [discriminator loss: 0.570998, acc: 0.679688] [adversarial loss: 1.135703, acc: 0.343750] 16685: [discriminator loss: 0.514542, acc: 0.757812] [adversarial loss: 1.175439, acc: 0.171875] 16686: [discriminator loss: 0.557409, acc: 0.695312] [adversarial loss: 0.768876, acc: 0.500000] 16687: [discriminator loss: 0.660047, acc: 0.703125] [adversarial loss: 1.547955, acc: 0.140625] 16688: [discriminator loss: 0.655848, acc: 0.640625] [adversarial loss: 0.916404, acc: 0.437500] 16689: [discriminator loss: 0.608041, acc: 0.679688] [adversarial loss: 1.247674, acc: 0.171875] 16690: [discriminator loss: 0.589199, acc: 0.640625] [adversarial loss: 0.861871, acc: 0.453125] 16691: [discriminator loss: 0.626874, acc: 0.679688] [adversarial loss: 1.690103, acc: 0.109375] 16692: [discriminator loss: 0.594372, acc: 0.687500] [adversarial loss: 1.024355, acc: 0.312500] 16693: [discriminator loss: 0.604153, acc: 0.640625] [adversarial loss: 1.348341, acc: 0.093750] 16694: [discriminator loss: 0.524634, acc: 0.742188] [adversarial loss: 1.025370, acc: 0.359375] 16695: [discriminator loss: 0.492943, acc: 0.789062] [adversarial loss: 1.179729, acc: 0.265625] 16696: [discriminator loss: 0.490513, acc: 0.773438] [adversarial loss: 1.079517, acc: 0.375000] 16697: [discriminator loss: 0.522929, acc: 0.718750] [adversarial loss: 1.312692, acc: 0.171875] 16698: [discriminator loss: 0.545747, acc: 0.695312] [adversarial loss: 1.044762, acc: 0.343750] 16699: [discriminator loss: 0.567701, acc: 0.703125] [adversarial loss: 1.341113, acc: 0.171875] 16700: [discriminator loss: 0.547652, acc: 0.687500] [adversarial loss: 0.855813, acc: 0.468750] 16701: [discriminator loss: 0.605132, acc: 0.703125] [adversarial loss: 1.511811, acc: 0.140625] 16702: [discriminator loss: 0.565947, acc: 0.671875] [adversarial loss: 0.905689, acc: 0.437500] 16703: [discriminator loss: 0.622507, acc: 0.617188] [adversarial loss: 1.609133, acc: 0.125000] 16704: [discriminator loss: 0.609538, acc: 0.656250] [adversarial loss: 0.793153, acc: 0.468750] 16705: [discriminator loss: 0.563056, acc: 0.726562] [adversarial loss: 1.406187, acc: 0.156250] 16706: [discriminator loss: 0.532766, acc: 0.742188] [adversarial loss: 1.032976, acc: 0.296875] 16707: [discriminator loss: 0.544608, acc: 0.679688] [adversarial loss: 1.090207, acc: 0.390625] 16708: [discriminator loss: 0.513811, acc: 0.726562] [adversarial loss: 1.207209, acc: 0.250000] 16709: [discriminator loss: 0.565696, acc: 0.695312] [adversarial loss: 1.192040, acc: 0.218750] 16710: [discriminator loss: 0.505748, acc: 0.726562] [adversarial loss: 1.062400, acc: 0.281250] 16711: [discriminator loss: 0.605884, acc: 0.656250] [adversarial loss: 1.354565, acc: 0.093750] 16712: [discriminator loss: 0.541118, acc: 0.710938] [adversarial loss: 1.134897, acc: 0.281250] 16713: [discriminator loss: 0.556612, acc: 0.718750] [adversarial loss: 1.214764, acc: 0.203125] 16714: [discriminator loss: 0.525720, acc: 0.765625] [adversarial loss: 0.829789, acc: 0.421875] 16715: [discriminator loss: 0.511119, acc: 0.773438] [adversarial loss: 1.368287, acc: 0.265625] 16716: [discriminator loss: 0.542790, acc: 0.718750] [adversarial loss: 1.042239, acc: 0.312500] 16717: [discriminator loss: 0.529008, acc: 0.695312] [adversarial loss: 1.311835, acc: 0.187500] 16718: [discriminator loss: 0.520560, acc: 0.757812] [adversarial loss: 1.120255, acc: 0.234375] 16719: [discriminator loss: 0.574544, acc: 0.710938] [adversarial loss: 1.156613, acc: 0.218750] 16720: [discriminator loss: 0.559815, acc: 0.664062] [adversarial loss: 1.251924, acc: 0.218750] 16721: [discriminator loss: 0.478551, acc: 0.804688] [adversarial loss: 0.953805, acc: 0.359375] 16722: [discriminator loss: 0.605704, acc: 0.625000] [adversarial loss: 1.430920, acc: 0.109375] 16723: [discriminator loss: 0.590379, acc: 0.687500] [adversarial loss: 1.159705, acc: 0.234375] 16724: [discriminator loss: 0.483251, acc: 0.757812] [adversarial loss: 1.336413, acc: 0.218750] 16725: [discriminator loss: 0.505600, acc: 0.757812] [adversarial loss: 1.064070, acc: 0.281250] 16726: [discriminator loss: 0.563396, acc: 0.656250] [adversarial loss: 1.089242, acc: 0.296875] 16727: [discriminator loss: 0.526689, acc: 0.796875] [adversarial loss: 1.100669, acc: 0.296875] 16728: [discriminator loss: 0.578238, acc: 0.718750] [adversarial loss: 1.171754, acc: 0.296875] 16729: [discriminator loss: 0.548043, acc: 0.695312] [adversarial loss: 0.934388, acc: 0.375000] 16730: [discriminator loss: 0.576299, acc: 0.695312] [adversarial loss: 1.342896, acc: 0.156250] 16731: [discriminator loss: 0.616222, acc: 0.687500] [adversarial loss: 1.046428, acc: 0.265625] 16732: [discriminator loss: 0.546652, acc: 0.734375] [adversarial loss: 1.215929, acc: 0.234375] 16733: [discriminator loss: 0.524801, acc: 0.726562] [adversarial loss: 1.111348, acc: 0.265625] 16734: [discriminator loss: 0.559414, acc: 0.656250] [adversarial loss: 1.202515, acc: 0.171875] 16735: [discriminator loss: 0.563559, acc: 0.718750] [adversarial loss: 1.215393, acc: 0.281250] 16736: [discriminator loss: 0.533835, acc: 0.710938] [adversarial loss: 1.605006, acc: 0.093750] 16737: [discriminator loss: 0.638082, acc: 0.671875] [adversarial loss: 0.767877, acc: 0.500000] 16738: [discriminator loss: 0.607061, acc: 0.648438] [adversarial loss: 1.483238, acc: 0.187500] 16739: [discriminator loss: 0.621434, acc: 0.648438] [adversarial loss: 0.803998, acc: 0.437500] 16740: [discriminator loss: 0.608823, acc: 0.656250] [adversarial loss: 1.249228, acc: 0.171875] 16741: [discriminator loss: 0.525732, acc: 0.679688] [adversarial loss: 0.816586, acc: 0.515625] 16742: [discriminator loss: 0.527511, acc: 0.734375] [adversarial loss: 1.375022, acc: 0.203125] 16743: [discriminator loss: 0.527026, acc: 0.671875] [adversarial loss: 0.998293, acc: 0.328125] 16744: [discriminator loss: 0.561325, acc: 0.695312] [adversarial loss: 1.198248, acc: 0.218750] 16745: [discriminator loss: 0.538349, acc: 0.734375] [adversarial loss: 1.267165, acc: 0.203125] 16746: [discriminator loss: 0.548442, acc: 0.664062] [adversarial loss: 1.179781, acc: 0.234375] 16747: [discriminator loss: 0.584810, acc: 0.656250] [adversarial loss: 1.213190, acc: 0.281250] 16748: [discriminator loss: 0.561949, acc: 0.734375] [adversarial loss: 1.360169, acc: 0.171875] 16749: [discriminator loss: 0.575460, acc: 0.656250] [adversarial loss: 1.041408, acc: 0.390625] 16750: [discriminator loss: 0.636450, acc: 0.632812] [adversarial loss: 1.177571, acc: 0.234375] 16751: [discriminator loss: 0.587265, acc: 0.664062] [adversarial loss: 1.040001, acc: 0.203125] 16752: [discriminator loss: 0.495478, acc: 0.765625] [adversarial loss: 1.217772, acc: 0.187500] 16753: [discriminator loss: 0.609882, acc: 0.617188] [adversarial loss: 0.886472, acc: 0.421875] 16754: [discriminator loss: 0.577458, acc: 0.750000] [adversarial loss: 1.396125, acc: 0.109375] 16755: [discriminator loss: 0.583918, acc: 0.703125] [adversarial loss: 0.916980, acc: 0.484375] 16756: [discriminator loss: 0.559250, acc: 0.664062] [adversarial loss: 1.289405, acc: 0.187500] 16757: [discriminator loss: 0.556278, acc: 0.671875] [adversarial loss: 1.079631, acc: 0.296875] 16758: [discriminator loss: 0.568100, acc: 0.671875] [adversarial loss: 1.416714, acc: 0.125000] 16759: [discriminator loss: 0.513245, acc: 0.734375] [adversarial loss: 0.941847, acc: 0.390625] 16760: [discriminator loss: 0.543663, acc: 0.703125] [adversarial loss: 1.315663, acc: 0.218750] 16761: [discriminator loss: 0.525704, acc: 0.742188] [adversarial loss: 1.133212, acc: 0.343750] 16762: [discriminator loss: 0.545529, acc: 0.734375] [adversarial loss: 1.144596, acc: 0.250000] 16763: [discriminator loss: 0.536275, acc: 0.726562] [adversarial loss: 1.180292, acc: 0.250000] 16764: [discriminator loss: 0.607787, acc: 0.617188] [adversarial loss: 0.839129, acc: 0.484375] 16765: [discriminator loss: 0.551342, acc: 0.679688] [adversarial loss: 1.286530, acc: 0.218750] 16766: [discriminator loss: 0.585147, acc: 0.679688] [adversarial loss: 1.040255, acc: 0.343750] 16767: [discriminator loss: 0.560775, acc: 0.710938] [adversarial loss: 1.393690, acc: 0.156250] 16768: [discriminator loss: 0.533449, acc: 0.710938] [adversarial loss: 0.837772, acc: 0.421875] 16769: [discriminator loss: 0.508414, acc: 0.710938] [adversarial loss: 1.411496, acc: 0.234375] 16770: [discriminator loss: 0.568253, acc: 0.671875] [adversarial loss: 0.809165, acc: 0.468750] 16771: [discriminator loss: 0.524163, acc: 0.718750] [adversarial loss: 1.302347, acc: 0.187500] 16772: [discriminator loss: 0.547585, acc: 0.703125] [adversarial loss: 0.888581, acc: 0.468750] 16773: [discriminator loss: 0.495072, acc: 0.773438] [adversarial loss: 1.287377, acc: 0.234375] 16774: [discriminator loss: 0.580611, acc: 0.664062] [adversarial loss: 0.707417, acc: 0.578125] 16775: [discriminator loss: 0.564896, acc: 0.703125] [adversarial loss: 1.631559, acc: 0.109375] 16776: [discriminator loss: 0.685890, acc: 0.601562] [adversarial loss: 0.797912, acc: 0.468750] 16777: [discriminator loss: 0.592206, acc: 0.664062] [adversarial loss: 1.459993, acc: 0.125000] 16778: [discriminator loss: 0.591917, acc: 0.687500] [adversarial loss: 0.917546, acc: 0.437500] 16779: [discriminator loss: 0.591274, acc: 0.656250] [adversarial loss: 1.416800, acc: 0.156250] 16780: [discriminator loss: 0.546846, acc: 0.750000] [adversarial loss: 1.050050, acc: 0.265625] 16781: [discriminator loss: 0.491165, acc: 0.734375] [adversarial loss: 1.196254, acc: 0.250000] 16782: [discriminator loss: 0.552009, acc: 0.726562] [adversarial loss: 1.096222, acc: 0.296875] 16783: [discriminator loss: 0.550129, acc: 0.710938] [adversarial loss: 1.180815, acc: 0.328125] 16784: [discriminator loss: 0.549026, acc: 0.695312] [adversarial loss: 0.955583, acc: 0.359375] 16785: [discriminator loss: 0.529877, acc: 0.734375] [adversarial loss: 1.177745, acc: 0.187500] 16786: [discriminator loss: 0.582647, acc: 0.679688] [adversarial loss: 0.896918, acc: 0.406250] 16787: [discriminator loss: 0.510466, acc: 0.734375] [adversarial loss: 1.386116, acc: 0.093750] 16788: [discriminator loss: 0.597366, acc: 0.703125] [adversarial loss: 1.144206, acc: 0.296875] 16789: [discriminator loss: 0.498964, acc: 0.757812] [adversarial loss: 1.242783, acc: 0.187500] 16790: [discriminator loss: 0.469171, acc: 0.765625] [adversarial loss: 1.182797, acc: 0.281250] 16791: [discriminator loss: 0.595401, acc: 0.664062] [adversarial loss: 1.112972, acc: 0.250000] 16792: [discriminator loss: 0.514936, acc: 0.734375] [adversarial loss: 1.371756, acc: 0.156250] 16793: [discriminator loss: 0.574200, acc: 0.695312] [adversarial loss: 0.839139, acc: 0.515625] 16794: [discriminator loss: 0.558609, acc: 0.750000] [adversarial loss: 1.392391, acc: 0.109375] 16795: [discriminator loss: 0.541841, acc: 0.726562] [adversarial loss: 0.922207, acc: 0.437500] 16796: [discriminator loss: 0.593178, acc: 0.695312] [adversarial loss: 1.380205, acc: 0.093750] 16797: [discriminator loss: 0.557187, acc: 0.718750] [adversarial loss: 0.740055, acc: 0.562500] 16798: [discriminator loss: 0.664466, acc: 0.632812] [adversarial loss: 1.713232, acc: 0.015625] 16799: [discriminator loss: 0.593307, acc: 0.687500] [adversarial loss: 0.792752, acc: 0.453125] 16800: [discriminator loss: 0.550878, acc: 0.718750] [adversarial loss: 1.367864, acc: 0.187500] 16801: [discriminator loss: 0.483781, acc: 0.757812] [adversarial loss: 0.964721, acc: 0.312500] 16802: [discriminator loss: 0.525807, acc: 0.734375] [adversarial loss: 1.340961, acc: 0.140625] 16803: [discriminator loss: 0.533476, acc: 0.703125] [adversarial loss: 1.237592, acc: 0.156250] 16804: [discriminator loss: 0.569002, acc: 0.656250] [adversarial loss: 0.939207, acc: 0.390625] 16805: [discriminator loss: 0.500336, acc: 0.796875] [adversarial loss: 1.521656, acc: 0.078125] 16806: [discriminator loss: 0.522369, acc: 0.726562] [adversarial loss: 0.925987, acc: 0.406250] 16807: [discriminator loss: 0.593961, acc: 0.695312] [adversarial loss: 1.342471, acc: 0.187500] 16808: [discriminator loss: 0.608774, acc: 0.687500] [adversarial loss: 0.898814, acc: 0.421875] 16809: [discriminator loss: 0.591223, acc: 0.695312] [adversarial loss: 1.274144, acc: 0.156250] 16810: [discriminator loss: 0.569139, acc: 0.679688] [adversarial loss: 1.004047, acc: 0.343750] 16811: [discriminator loss: 0.530087, acc: 0.757812] [adversarial loss: 1.231680, acc: 0.109375] 16812: [discriminator loss: 0.458795, acc: 0.789062] [adversarial loss: 0.991004, acc: 0.390625] 16813: [discriminator loss: 0.557720, acc: 0.695312] [adversarial loss: 1.203345, acc: 0.203125] 16814: [discriminator loss: 0.539159, acc: 0.742188] [adversarial loss: 0.909947, acc: 0.390625] 16815: [discriminator loss: 0.544995, acc: 0.734375] [adversarial loss: 1.242532, acc: 0.187500] 16816: [discriminator loss: 0.488577, acc: 0.742188] [adversarial loss: 1.011245, acc: 0.375000] 16817: [discriminator loss: 0.566497, acc: 0.695312] [adversarial loss: 1.238204, acc: 0.218750] 16818: [discriminator loss: 0.489238, acc: 0.765625] [adversarial loss: 1.112495, acc: 0.375000] 16819: [discriminator loss: 0.562560, acc: 0.703125] [adversarial loss: 1.694848, acc: 0.109375] 16820: [discriminator loss: 0.579263, acc: 0.679688] [adversarial loss: 0.799001, acc: 0.500000] 16821: [discriminator loss: 0.567270, acc: 0.695312] [adversarial loss: 1.719414, acc: 0.046875] 16822: [discriminator loss: 0.635911, acc: 0.617188] [adversarial loss: 0.725582, acc: 0.531250] 16823: [discriminator loss: 0.589602, acc: 0.742188] [adversarial loss: 1.505342, acc: 0.156250] 16824: [discriminator loss: 0.531040, acc: 0.718750] [adversarial loss: 0.999252, acc: 0.406250] 16825: [discriminator loss: 0.584058, acc: 0.726562] [adversarial loss: 1.339880, acc: 0.140625] 16826: [discriminator loss: 0.504028, acc: 0.742188] [adversarial loss: 1.076706, acc: 0.250000] 16827: [discriminator loss: 0.519414, acc: 0.742188] [adversarial loss: 0.961651, acc: 0.296875] 16828: [discriminator loss: 0.585578, acc: 0.718750] [adversarial loss: 1.138268, acc: 0.250000] 16829: [discriminator loss: 0.520597, acc: 0.703125] [adversarial loss: 1.448716, acc: 0.218750] 16830: [discriminator loss: 0.490319, acc: 0.781250] [adversarial loss: 1.370380, acc: 0.125000] 16831: [discriminator loss: 0.521841, acc: 0.757812] [adversarial loss: 0.949148, acc: 0.437500] 16832: [discriminator loss: 0.585920, acc: 0.703125] [adversarial loss: 1.384985, acc: 0.171875] 16833: [discriminator loss: 0.556654, acc: 0.687500] [adversarial loss: 0.857881, acc: 0.500000] 16834: [discriminator loss: 0.558050, acc: 0.687500] [adversarial loss: 1.436789, acc: 0.125000] 16835: [discriminator loss: 0.501651, acc: 0.773438] [adversarial loss: 0.901898, acc: 0.468750] 16836: [discriminator loss: 0.598403, acc: 0.750000] [adversarial loss: 1.152262, acc: 0.281250] 16837: [discriminator loss: 0.488568, acc: 0.820312] [adversarial loss: 1.290480, acc: 0.187500] 16838: [discriminator loss: 0.515350, acc: 0.773438] [adversarial loss: 1.281157, acc: 0.250000] 16839: [discriminator loss: 0.522349, acc: 0.750000] [adversarial loss: 1.574425, acc: 0.171875] 16840: [discriminator loss: 0.529150, acc: 0.742188] [adversarial loss: 1.067813, acc: 0.328125] 16841: [discriminator loss: 0.577506, acc: 0.687500] [adversarial loss: 1.597427, acc: 0.093750] 16842: [discriminator loss: 0.599236, acc: 0.648438] [adversarial loss: 0.841203, acc: 0.484375] 16843: [discriminator loss: 0.558759, acc: 0.656250] [adversarial loss: 1.231379, acc: 0.265625] 16844: [discriminator loss: 0.574910, acc: 0.648438] [adversarial loss: 1.116766, acc: 0.250000] 16845: [discriminator loss: 0.499924, acc: 0.765625] [adversarial loss: 1.002095, acc: 0.343750] 16846: [discriminator loss: 0.516689, acc: 0.742188] [adversarial loss: 1.271191, acc: 0.187500] 16847: [discriminator loss: 0.517486, acc: 0.734375] [adversarial loss: 0.827606, acc: 0.500000] 16848: [discriminator loss: 0.534016, acc: 0.742188] [adversarial loss: 1.315763, acc: 0.187500] 16849: [discriminator loss: 0.577486, acc: 0.703125] [adversarial loss: 0.881877, acc: 0.406250] 16850: [discriminator loss: 0.587133, acc: 0.695312] [adversarial loss: 1.446704, acc: 0.140625] 16851: [discriminator loss: 0.529588, acc: 0.703125] [adversarial loss: 1.204074, acc: 0.250000] 16852: [discriminator loss: 0.480061, acc: 0.765625] [adversarial loss: 1.235704, acc: 0.171875] 16853: [discriminator loss: 0.512457, acc: 0.757812] [adversarial loss: 1.073547, acc: 0.281250] 16854: [discriminator loss: 0.549580, acc: 0.671875] [adversarial loss: 1.240871, acc: 0.234375] 16855: [discriminator loss: 0.540872, acc: 0.695312] [adversarial loss: 1.409125, acc: 0.125000] 16856: [discriminator loss: 0.537081, acc: 0.734375] [adversarial loss: 0.966976, acc: 0.359375] 16857: [discriminator loss: 0.576427, acc: 0.757812] [adversarial loss: 1.638929, acc: 0.093750] 16858: [discriminator loss: 0.557670, acc: 0.671875] [adversarial loss: 0.838932, acc: 0.515625] 16859: [discriminator loss: 0.628693, acc: 0.648438] [adversarial loss: 1.654668, acc: 0.171875] 16860: [discriminator loss: 0.587689, acc: 0.718750] [adversarial loss: 1.044201, acc: 0.343750] 16861: [discriminator loss: 0.545218, acc: 0.687500] [adversarial loss: 1.315064, acc: 0.187500] 16862: [discriminator loss: 0.585751, acc: 0.664062] [adversarial loss: 0.863023, acc: 0.468750] 16863: [discriminator loss: 0.495955, acc: 0.750000] [adversarial loss: 1.065395, acc: 0.281250] 16864: [discriminator loss: 0.499388, acc: 0.773438] [adversarial loss: 0.870961, acc: 0.453125] 16865: [discriminator loss: 0.541020, acc: 0.726562] [adversarial loss: 1.328152, acc: 0.171875] 16866: [discriminator loss: 0.552985, acc: 0.703125] [adversarial loss: 1.049923, acc: 0.328125] 16867: [discriminator loss: 0.537766, acc: 0.742188] [adversarial loss: 1.248631, acc: 0.234375] 16868: [discriminator loss: 0.533281, acc: 0.710938] [adversarial loss: 0.765867, acc: 0.578125] 16869: [discriminator loss: 0.546749, acc: 0.742188] [adversarial loss: 1.511411, acc: 0.171875] 16870: [discriminator loss: 0.519330, acc: 0.726562] [adversarial loss: 0.936339, acc: 0.375000] 16871: [discriminator loss: 0.554852, acc: 0.765625] [adversarial loss: 1.431883, acc: 0.171875] 16872: [discriminator loss: 0.548398, acc: 0.742188] [adversarial loss: 1.169354, acc: 0.187500] 16873: [discriminator loss: 0.588957, acc: 0.640625] [adversarial loss: 1.159445, acc: 0.265625] 16874: [discriminator loss: 0.505278, acc: 0.812500] [adversarial loss: 1.045241, acc: 0.312500] 16875: [discriminator loss: 0.595898, acc: 0.695312] [adversarial loss: 1.329313, acc: 0.234375] 16876: [discriminator loss: 0.573988, acc: 0.718750] [adversarial loss: 1.041041, acc: 0.390625] 16877: [discriminator loss: 0.576903, acc: 0.710938] [adversarial loss: 1.198824, acc: 0.234375] 16878: [discriminator loss: 0.606422, acc: 0.687500] [adversarial loss: 0.787996, acc: 0.515625] 16879: [discriminator loss: 0.495589, acc: 0.734375] [adversarial loss: 1.378300, acc: 0.109375] 16880: [discriminator loss: 0.523306, acc: 0.726562] [adversarial loss: 0.876117, acc: 0.406250] 16881: [discriminator loss: 0.587381, acc: 0.656250] [adversarial loss: 1.528360, acc: 0.109375] 16882: [discriminator loss: 0.629804, acc: 0.617188] [adversarial loss: 0.979196, acc: 0.343750] 16883: [discriminator loss: 0.572524, acc: 0.742188] [adversarial loss: 1.248164, acc: 0.312500] 16884: [discriminator loss: 0.482320, acc: 0.789062] [adversarial loss: 0.928332, acc: 0.421875] 16885: [discriminator loss: 0.574027, acc: 0.687500] [adversarial loss: 1.547953, acc: 0.078125] 16886: [discriminator loss: 0.581277, acc: 0.679688] [adversarial loss: 0.837672, acc: 0.500000] 16887: [discriminator loss: 0.567380, acc: 0.750000] [adversarial loss: 1.363410, acc: 0.125000] 16888: [discriminator loss: 0.508218, acc: 0.781250] [adversarial loss: 1.150006, acc: 0.296875] 16889: [discriminator loss: 0.513317, acc: 0.750000] [adversarial loss: 1.140544, acc: 0.296875] 16890: [discriminator loss: 0.624240, acc: 0.656250] [adversarial loss: 1.248658, acc: 0.218750] 16891: [discriminator loss: 0.513845, acc: 0.726562] [adversarial loss: 1.123555, acc: 0.281250] 16892: [discriminator loss: 0.528458, acc: 0.742188] [adversarial loss: 1.117921, acc: 0.328125] 16893: [discriminator loss: 0.567252, acc: 0.679688] [adversarial loss: 1.263123, acc: 0.203125] 16894: [discriminator loss: 0.614829, acc: 0.664062] [adversarial loss: 1.001980, acc: 0.343750] 16895: [discriminator loss: 0.518968, acc: 0.750000] [adversarial loss: 0.958527, acc: 0.343750] 16896: [discriminator loss: 0.539971, acc: 0.757812] [adversarial loss: 0.985145, acc: 0.421875] 16897: [discriminator loss: 0.548904, acc: 0.742188] [adversarial loss: 1.112366, acc: 0.234375] 16898: [discriminator loss: 0.538449, acc: 0.718750] [adversarial loss: 1.188887, acc: 0.218750] 16899: [discriminator loss: 0.585952, acc: 0.687500] [adversarial loss: 1.040315, acc: 0.281250] 16900: [discriminator loss: 0.624907, acc: 0.648438] [adversarial loss: 1.542046, acc: 0.125000] 16901: [discriminator loss: 0.544207, acc: 0.703125] [adversarial loss: 0.856070, acc: 0.437500] 16902: [discriminator loss: 0.606961, acc: 0.656250] [adversarial loss: 1.234151, acc: 0.187500] 16903: [discriminator loss: 0.540374, acc: 0.664062] [adversarial loss: 0.882744, acc: 0.421875] 16904: [discriminator loss: 0.546685, acc: 0.710938] [adversarial loss: 1.327667, acc: 0.156250] 16905: [discriminator loss: 0.602540, acc: 0.687500] [adversarial loss: 0.870417, acc: 0.437500] 16906: [discriminator loss: 0.625327, acc: 0.656250] [adversarial loss: 1.474299, acc: 0.125000] 16907: [discriminator loss: 0.595776, acc: 0.664062] [adversarial loss: 0.726635, acc: 0.578125] 16908: [discriminator loss: 0.507208, acc: 0.742188] [adversarial loss: 1.734620, acc: 0.078125] 16909: [discriminator loss: 0.610311, acc: 0.632812] [adversarial loss: 0.708641, acc: 0.625000] 16910: [discriminator loss: 0.517470, acc: 0.710938] [adversarial loss: 1.500208, acc: 0.109375] 16911: [discriminator loss: 0.553662, acc: 0.710938] [adversarial loss: 0.919901, acc: 0.390625] 16912: [discriminator loss: 0.541103, acc: 0.718750] [adversarial loss: 1.382390, acc: 0.125000] 16913: [discriminator loss: 0.595059, acc: 0.687500] [adversarial loss: 0.995236, acc: 0.406250] 16914: [discriminator loss: 0.542146, acc: 0.687500] [adversarial loss: 1.075948, acc: 0.312500] 16915: [discriminator loss: 0.557031, acc: 0.695312] [adversarial loss: 1.235772, acc: 0.265625] 16916: [discriminator loss: 0.559050, acc: 0.695312] [adversarial loss: 1.213884, acc: 0.250000] 16917: [discriminator loss: 0.584903, acc: 0.687500] [adversarial loss: 1.112938, acc: 0.281250] 16918: [discriminator loss: 0.582002, acc: 0.687500] [adversarial loss: 1.103679, acc: 0.312500] 16919: [discriminator loss: 0.587517, acc: 0.648438] [adversarial loss: 1.261147, acc: 0.171875] 16920: [discriminator loss: 0.516256, acc: 0.742188] [adversarial loss: 1.131580, acc: 0.296875] 16921: [discriminator loss: 0.527139, acc: 0.710938] [adversarial loss: 1.061401, acc: 0.250000] 16922: [discriminator loss: 0.549527, acc: 0.734375] [adversarial loss: 1.058417, acc: 0.343750] 16923: [discriminator loss: 0.572124, acc: 0.734375] [adversarial loss: 1.198585, acc: 0.187500] 16924: [discriminator loss: 0.591679, acc: 0.656250] [adversarial loss: 1.013343, acc: 0.390625] 16925: [discriminator loss: 0.497970, acc: 0.773438] [adversarial loss: 1.637660, acc: 0.093750] 16926: [discriminator loss: 0.643285, acc: 0.617188] [adversarial loss: 0.900077, acc: 0.500000] 16927: [discriminator loss: 0.657299, acc: 0.648438] [adversarial loss: 1.469459, acc: 0.140625] 16928: [discriminator loss: 0.617396, acc: 0.625000] [adversarial loss: 0.764338, acc: 0.531250] 16929: [discriminator loss: 0.608134, acc: 0.648438] [adversarial loss: 1.462033, acc: 0.140625] 16930: [discriminator loss: 0.521233, acc: 0.710938] [adversarial loss: 1.132118, acc: 0.312500] 16931: [discriminator loss: 0.590558, acc: 0.703125] [adversarial loss: 0.852154, acc: 0.437500] 16932: [discriminator loss: 0.681512, acc: 0.632812] [adversarial loss: 1.331472, acc: 0.140625] 16933: [discriminator loss: 0.596394, acc: 0.671875] [adversarial loss: 1.018038, acc: 0.296875] 16934: [discriminator loss: 0.590458, acc: 0.664062] [adversarial loss: 1.366943, acc: 0.156250] 16935: [discriminator loss: 0.595071, acc: 0.648438] [adversarial loss: 1.052218, acc: 0.343750] 16936: [discriminator loss: 0.513339, acc: 0.726562] [adversarial loss: 1.346739, acc: 0.140625] 16937: [discriminator loss: 0.569465, acc: 0.648438] [adversarial loss: 0.880458, acc: 0.390625] 16938: [discriminator loss: 0.565659, acc: 0.710938] [adversarial loss: 1.377462, acc: 0.125000] 16939: [discriminator loss: 0.606683, acc: 0.632812] [adversarial loss: 0.721522, acc: 0.515625] 16940: [discriminator loss: 0.592178, acc: 0.687500] [adversarial loss: 1.285794, acc: 0.234375] 16941: [discriminator loss: 0.529743, acc: 0.718750] [adversarial loss: 0.855052, acc: 0.468750] 16942: [discriminator loss: 0.564688, acc: 0.718750] [adversarial loss: 1.236536, acc: 0.234375] 16943: [discriminator loss: 0.567436, acc: 0.695312] [adversarial loss: 1.077823, acc: 0.328125] 16944: [discriminator loss: 0.503946, acc: 0.742188] [adversarial loss: 1.324542, acc: 0.156250] 16945: [discriminator loss: 0.611870, acc: 0.625000] [adversarial loss: 0.691136, acc: 0.531250] 16946: [discriminator loss: 0.560686, acc: 0.718750] [adversarial loss: 1.440672, acc: 0.156250] 16947: [discriminator loss: 0.535698, acc: 0.687500] [adversarial loss: 0.822869, acc: 0.468750] 16948: [discriminator loss: 0.554154, acc: 0.718750] [adversarial loss: 1.239949, acc: 0.250000] 16949: [discriminator loss: 0.539695, acc: 0.710938] [adversarial loss: 1.092790, acc: 0.265625] 16950: [discriminator loss: 0.534623, acc: 0.726562] [adversarial loss: 1.113658, acc: 0.203125] 16951: [discriminator loss: 0.567048, acc: 0.726562] [adversarial loss: 0.965066, acc: 0.421875] 16952: [discriminator loss: 0.537967, acc: 0.726562] [adversarial loss: 0.952039, acc: 0.390625] 16953: [discriminator loss: 0.503410, acc: 0.757812] [adversarial loss: 1.448404, acc: 0.125000] 16954: [discriminator loss: 0.637979, acc: 0.632812] [adversarial loss: 1.045793, acc: 0.281250] 16955: [discriminator loss: 0.516036, acc: 0.742188] [adversarial loss: 0.988119, acc: 0.343750] 16956: [discriminator loss: 0.573375, acc: 0.664062] [adversarial loss: 1.665820, acc: 0.125000] 16957: [discriminator loss: 0.569332, acc: 0.664062] [adversarial loss: 0.888179, acc: 0.500000] 16958: [discriminator loss: 0.523858, acc: 0.734375] [adversarial loss: 1.542626, acc: 0.093750] 16959: [discriminator loss: 0.590909, acc: 0.671875] [adversarial loss: 1.034214, acc: 0.359375] 16960: [discriminator loss: 0.560491, acc: 0.710938] [adversarial loss: 1.336204, acc: 0.156250] 16961: [discriminator loss: 0.539963, acc: 0.765625] [adversarial loss: 1.358788, acc: 0.125000] 16962: [discriminator loss: 0.570408, acc: 0.671875] [adversarial loss: 1.078218, acc: 0.281250] 16963: [discriminator loss: 0.494560, acc: 0.773438] [adversarial loss: 1.189536, acc: 0.281250] 16964: [discriminator loss: 0.609039, acc: 0.695312] [adversarial loss: 1.378772, acc: 0.140625] 16965: [discriminator loss: 0.535360, acc: 0.750000] [adversarial loss: 0.822603, acc: 0.515625] 16966: [discriminator loss: 0.642407, acc: 0.656250] [adversarial loss: 1.617885, acc: 0.125000] 16967: [discriminator loss: 0.614665, acc: 0.648438] [adversarial loss: 0.938530, acc: 0.375000] 16968: [discriminator loss: 0.577597, acc: 0.710938] [adversarial loss: 1.216254, acc: 0.250000] 16969: [discriminator loss: 0.561674, acc: 0.710938] [adversarial loss: 0.780655, acc: 0.546875] 16970: [discriminator loss: 0.553971, acc: 0.710938] [adversarial loss: 1.479064, acc: 0.093750] 16971: [discriminator loss: 0.615572, acc: 0.679688] [adversarial loss: 0.979871, acc: 0.421875] 16972: [discriminator loss: 0.509294, acc: 0.765625] [adversarial loss: 1.449595, acc: 0.187500] 16973: [discriminator loss: 0.542731, acc: 0.718750] [adversarial loss: 0.967521, acc: 0.406250] 16974: [discriminator loss: 0.555500, acc: 0.671875] [adversarial loss: 1.344111, acc: 0.187500] 16975: [discriminator loss: 0.511161, acc: 0.742188] [adversarial loss: 1.323786, acc: 0.187500] 16976: [discriminator loss: 0.665853, acc: 0.601562] [adversarial loss: 0.902281, acc: 0.406250] 16977: [discriminator loss: 0.549029, acc: 0.703125] [adversarial loss: 1.544867, acc: 0.078125] 16978: [discriminator loss: 0.594126, acc: 0.664062] [adversarial loss: 0.904012, acc: 0.406250] 16979: [discriminator loss: 0.590663, acc: 0.695312] [adversarial loss: 1.423562, acc: 0.093750] 16980: [discriminator loss: 0.573271, acc: 0.687500] [adversarial loss: 0.913668, acc: 0.421875] 16981: [discriminator loss: 0.519472, acc: 0.765625] [adversarial loss: 1.226743, acc: 0.218750] 16982: [discriminator loss: 0.634286, acc: 0.609375] [adversarial loss: 0.946885, acc: 0.421875] 16983: [discriminator loss: 0.508574, acc: 0.757812] [adversarial loss: 1.256446, acc: 0.171875] 16984: [discriminator loss: 0.530651, acc: 0.757812] [adversarial loss: 1.056804, acc: 0.312500] 16985: [discriminator loss: 0.578897, acc: 0.664062] [adversarial loss: 1.363995, acc: 0.140625] 16986: [discriminator loss: 0.566925, acc: 0.671875] [adversarial loss: 0.824769, acc: 0.484375] 16987: [discriminator loss: 0.563770, acc: 0.656250] [adversarial loss: 1.498737, acc: 0.093750] 16988: [discriminator loss: 0.527997, acc: 0.718750] [adversarial loss: 0.920991, acc: 0.406250] 16989: [discriminator loss: 0.539244, acc: 0.742188] [adversarial loss: 1.410751, acc: 0.109375] 16990: [discriminator loss: 0.542654, acc: 0.710938] [adversarial loss: 0.806001, acc: 0.468750] 16991: [discriminator loss: 0.598773, acc: 0.679688] [adversarial loss: 1.215850, acc: 0.218750] 16992: [discriminator loss: 0.497416, acc: 0.750000] [adversarial loss: 1.048945, acc: 0.250000] 16993: [discriminator loss: 0.483941, acc: 0.765625] [adversarial loss: 1.242714, acc: 0.171875] 16994: [discriminator loss: 0.522307, acc: 0.710938] [adversarial loss: 0.929736, acc: 0.390625] 16995: [discriminator loss: 0.558556, acc: 0.671875] [adversarial loss: 1.257335, acc: 0.203125] 16996: [discriminator loss: 0.518118, acc: 0.742188] [adversarial loss: 0.799319, acc: 0.546875] 16997: [discriminator loss: 0.550633, acc: 0.726562] [adversarial loss: 1.225057, acc: 0.250000] 16998: [discriminator loss: 0.545935, acc: 0.703125] [adversarial loss: 0.812393, acc: 0.453125] 16999: [discriminator loss: 0.601069, acc: 0.664062] [adversarial loss: 1.357146, acc: 0.171875] 17000: [discriminator loss: 0.533244, acc: 0.648438] [adversarial loss: 0.916939, acc: 0.437500] 17001: [discriminator loss: 0.614852, acc: 0.687500] [adversarial loss: 1.406022, acc: 0.140625] 17002: [discriminator loss: 0.549374, acc: 0.734375] [adversarial loss: 1.222570, acc: 0.265625] 17003: [discriminator loss: 0.589020, acc: 0.625000] [adversarial loss: 1.195797, acc: 0.203125] 17004: [discriminator loss: 0.509954, acc: 0.757812] [adversarial loss: 1.290832, acc: 0.265625] 17005: [discriminator loss: 0.561142, acc: 0.710938] [adversarial loss: 1.429395, acc: 0.109375] 17006: [discriminator loss: 0.490425, acc: 0.734375] [adversarial loss: 1.003463, acc: 0.359375] 17007: [discriminator loss: 0.596248, acc: 0.656250] [adversarial loss: 1.377179, acc: 0.171875] 17008: [discriminator loss: 0.501087, acc: 0.757812] [adversarial loss: 1.089918, acc: 0.343750] 17009: [discriminator loss: 0.592406, acc: 0.703125] [adversarial loss: 1.449628, acc: 0.156250] 17010: [discriminator loss: 0.553744, acc: 0.750000] [adversarial loss: 0.892109, acc: 0.437500] 17011: [discriminator loss: 0.566747, acc: 0.742188] [adversarial loss: 1.329588, acc: 0.218750] 17012: [discriminator loss: 0.649233, acc: 0.632812] [adversarial loss: 0.964383, acc: 0.390625] 17013: [discriminator loss: 0.600084, acc: 0.726562] [adversarial loss: 1.547211, acc: 0.125000] 17014: [discriminator loss: 0.590222, acc: 0.687500] [adversarial loss: 0.894836, acc: 0.500000] 17015: [discriminator loss: 0.584851, acc: 0.710938] [adversarial loss: 1.384244, acc: 0.078125] 17016: [discriminator loss: 0.515702, acc: 0.781250] [adversarial loss: 0.936263, acc: 0.375000] 17017: [discriminator loss: 0.583250, acc: 0.703125] [adversarial loss: 1.315712, acc: 0.218750] 17018: [discriminator loss: 0.559152, acc: 0.703125] [adversarial loss: 1.278983, acc: 0.203125] 17019: [discriminator loss: 0.640075, acc: 0.609375] [adversarial loss: 0.916427, acc: 0.421875] 17020: [discriminator loss: 0.613737, acc: 0.656250] [adversarial loss: 1.534345, acc: 0.156250] 17021: [discriminator loss: 0.581670, acc: 0.671875] [adversarial loss: 0.792021, acc: 0.468750] 17022: [discriminator loss: 0.536100, acc: 0.742188] [adversarial loss: 1.146084, acc: 0.281250] 17023: [discriminator loss: 0.552513, acc: 0.718750] [adversarial loss: 1.158059, acc: 0.281250] 17024: [discriminator loss: 0.497914, acc: 0.742188] [adversarial loss: 1.460162, acc: 0.171875] 17025: [discriminator loss: 0.603118, acc: 0.648438] [adversarial loss: 0.768462, acc: 0.562500] 17026: [discriminator loss: 0.548710, acc: 0.687500] [adversarial loss: 1.259989, acc: 0.218750] 17027: [discriminator loss: 0.586643, acc: 0.664062] [adversarial loss: 1.094118, acc: 0.265625] 17028: [discriminator loss: 0.568374, acc: 0.726562] [adversarial loss: 1.348336, acc: 0.250000] 17029: [discriminator loss: 0.549999, acc: 0.679688] [adversarial loss: 0.976251, acc: 0.421875] 17030: [discriminator loss: 0.514678, acc: 0.726562] [adversarial loss: 1.279088, acc: 0.218750] 17031: [discriminator loss: 0.588368, acc: 0.703125] [adversarial loss: 0.996688, acc: 0.281250] 17032: [discriminator loss: 0.539919, acc: 0.757812] [adversarial loss: 1.506646, acc: 0.203125] 17033: [discriminator loss: 0.588358, acc: 0.695312] [adversarial loss: 0.942769, acc: 0.421875] 17034: [discriminator loss: 0.559204, acc: 0.734375] [adversarial loss: 1.420145, acc: 0.140625] 17035: [discriminator loss: 0.499370, acc: 0.765625] [adversarial loss: 1.241878, acc: 0.218750] 17036: [discriminator loss: 0.547703, acc: 0.710938] [adversarial loss: 1.373271, acc: 0.109375] 17037: [discriminator loss: 0.587284, acc: 0.671875] [adversarial loss: 0.999359, acc: 0.406250] 17038: [discriminator loss: 0.547623, acc: 0.734375] [adversarial loss: 1.169161, acc: 0.250000] 17039: [discriminator loss: 0.527564, acc: 0.742188] [adversarial loss: 1.110476, acc: 0.265625] 17040: [discriminator loss: 0.514526, acc: 0.750000] [adversarial loss: 1.172684, acc: 0.328125] 17041: [discriminator loss: 0.488696, acc: 0.765625] [adversarial loss: 0.991398, acc: 0.359375] 17042: [discriminator loss: 0.482658, acc: 0.765625] [adversarial loss: 1.113563, acc: 0.265625] 17043: [discriminator loss: 0.563587, acc: 0.703125] [adversarial loss: 0.892210, acc: 0.421875] 17044: [discriminator loss: 0.547279, acc: 0.742188] [adversarial loss: 1.585245, acc: 0.109375] 17045: [discriminator loss: 0.581183, acc: 0.718750] [adversarial loss: 0.882090, acc: 0.453125] 17046: [discriminator loss: 0.551467, acc: 0.710938] [adversarial loss: 1.353988, acc: 0.187500] 17047: [discriminator loss: 0.560913, acc: 0.695312] [adversarial loss: 0.898754, acc: 0.500000] 17048: [discriminator loss: 0.595965, acc: 0.679688] [adversarial loss: 1.732174, acc: 0.062500] 17049: [discriminator loss: 0.585927, acc: 0.695312] [adversarial loss: 0.855005, acc: 0.531250] 17050: [discriminator loss: 0.599482, acc: 0.710938] [adversarial loss: 1.450393, acc: 0.125000] 17051: [discriminator loss: 0.622757, acc: 0.648438] [adversarial loss: 1.004867, acc: 0.296875] 17052: [discriminator loss: 0.606746, acc: 0.679688] [adversarial loss: 1.269925, acc: 0.234375] 17053: [discriminator loss: 0.522851, acc: 0.742188] [adversarial loss: 0.942449, acc: 0.375000] 17054: [discriminator loss: 0.561352, acc: 0.671875] [adversarial loss: 1.469547, acc: 0.187500] 17055: [discriminator loss: 0.612197, acc: 0.648438] [adversarial loss: 0.893725, acc: 0.500000] 17056: [discriminator loss: 0.573841, acc: 0.664062] [adversarial loss: 1.196391, acc: 0.234375] 17057: [discriminator loss: 0.602217, acc: 0.679688] [adversarial loss: 1.103026, acc: 0.312500] 17058: [discriminator loss: 0.547529, acc: 0.710938] [adversarial loss: 1.120055, acc: 0.312500] 17059: [discriminator loss: 0.539293, acc: 0.703125] [adversarial loss: 1.042126, acc: 0.375000] 17060: [discriminator loss: 0.548781, acc: 0.710938] [adversarial loss: 1.251578, acc: 0.156250] 17061: [discriminator loss: 0.495873, acc: 0.765625] [adversarial loss: 0.932513, acc: 0.484375] 17062: [discriminator loss: 0.602625, acc: 0.671875] [adversarial loss: 1.500548, acc: 0.109375] 17063: [discriminator loss: 0.543727, acc: 0.726562] [adversarial loss: 0.866651, acc: 0.437500] 17064: [discriminator loss: 0.548103, acc: 0.742188] [adversarial loss: 1.257775, acc: 0.281250] 17065: [discriminator loss: 0.544056, acc: 0.742188] [adversarial loss: 1.326556, acc: 0.187500] 17066: [discriminator loss: 0.528020, acc: 0.742188] [adversarial loss: 1.155378, acc: 0.359375] 17067: [discriminator loss: 0.577171, acc: 0.703125] [adversarial loss: 1.220573, acc: 0.187500] 17068: [discriminator loss: 0.585125, acc: 0.726562] [adversarial loss: 1.360857, acc: 0.140625] 17069: [discriminator loss: 0.537279, acc: 0.687500] [adversarial loss: 1.119876, acc: 0.281250] 17070: [discriminator loss: 0.532408, acc: 0.710938] [adversarial loss: 1.066497, acc: 0.296875] 17071: [discriminator loss: 0.539077, acc: 0.757812] [adversarial loss: 1.053882, acc: 0.312500] 17072: [discriminator loss: 0.600615, acc: 0.687500] [adversarial loss: 1.368772, acc: 0.187500] 17073: [discriminator loss: 0.569771, acc: 0.648438] [adversarial loss: 0.766399, acc: 0.546875] 17074: [discriminator loss: 0.602229, acc: 0.671875] [adversarial loss: 1.385422, acc: 0.109375] 17075: [discriminator loss: 0.526187, acc: 0.703125] [adversarial loss: 0.940650, acc: 0.375000] 17076: [discriminator loss: 0.603092, acc: 0.656250] [adversarial loss: 1.369009, acc: 0.171875] 17077: [discriminator loss: 0.573566, acc: 0.671875] [adversarial loss: 1.042260, acc: 0.328125] 17078: [discriminator loss: 0.576702, acc: 0.687500] [adversarial loss: 1.234481, acc: 0.234375] 17079: [discriminator loss: 0.616949, acc: 0.648438] [adversarial loss: 1.011242, acc: 0.281250] 17080: [discriminator loss: 0.590281, acc: 0.671875] [adversarial loss: 1.433191, acc: 0.109375] 17081: [discriminator loss: 0.524328, acc: 0.726562] [adversarial loss: 0.964353, acc: 0.390625] 17082: [discriminator loss: 0.540083, acc: 0.750000] [adversarial loss: 1.332980, acc: 0.156250] 17083: [discriminator loss: 0.538372, acc: 0.718750] [adversarial loss: 1.188917, acc: 0.234375] 17084: [discriminator loss: 0.567425, acc: 0.734375] [adversarial loss: 1.384342, acc: 0.156250] 17085: [discriminator loss: 0.500645, acc: 0.742188] [adversarial loss: 0.918207, acc: 0.453125] 17086: [discriminator loss: 0.604914, acc: 0.656250] [adversarial loss: 1.491938, acc: 0.171875] 17087: [discriminator loss: 0.521440, acc: 0.726562] [adversarial loss: 0.849902, acc: 0.421875] 17088: [discriminator loss: 0.601836, acc: 0.687500] [adversarial loss: 1.427411, acc: 0.093750] 17089: [discriminator loss: 0.596350, acc: 0.687500] [adversarial loss: 0.963008, acc: 0.390625] 17090: [discriminator loss: 0.517530, acc: 0.750000] [adversarial loss: 1.317200, acc: 0.140625] 17091: [discriminator loss: 0.511859, acc: 0.757812] [adversarial loss: 0.981638, acc: 0.312500] 17092: [discriminator loss: 0.637672, acc: 0.656250] [adversarial loss: 1.760403, acc: 0.062500] 17093: [discriminator loss: 0.590997, acc: 0.640625] [adversarial loss: 1.039886, acc: 0.359375] 17094: [discriminator loss: 0.591927, acc: 0.679688] [adversarial loss: 1.309465, acc: 0.171875] 17095: [discriminator loss: 0.515356, acc: 0.734375] [adversarial loss: 0.829313, acc: 0.453125] 17096: [discriminator loss: 0.548317, acc: 0.718750] [adversarial loss: 1.147903, acc: 0.296875] 17097: [discriminator loss: 0.506120, acc: 0.687500] [adversarial loss: 1.127447, acc: 0.250000] 17098: [discriminator loss: 0.596202, acc: 0.632812] [adversarial loss: 1.293373, acc: 0.187500] 17099: [discriminator loss: 0.538968, acc: 0.710938] [adversarial loss: 1.166831, acc: 0.281250] 17100: [discriminator loss: 0.641547, acc: 0.640625] [adversarial loss: 1.183757, acc: 0.218750] 17101: [discriminator loss: 0.475638, acc: 0.742188] [adversarial loss: 1.379185, acc: 0.171875] 17102: [discriminator loss: 0.521488, acc: 0.726562] [adversarial loss: 1.167593, acc: 0.203125] 17103: [discriminator loss: 0.540997, acc: 0.750000] [adversarial loss: 1.247930, acc: 0.218750] 17104: [discriminator loss: 0.597139, acc: 0.671875] [adversarial loss: 1.037412, acc: 0.250000] 17105: [discriminator loss: 0.523525, acc: 0.726562] [adversarial loss: 1.234017, acc: 0.265625] 17106: [discriminator loss: 0.538689, acc: 0.718750] [adversarial loss: 1.062572, acc: 0.328125] 17107: [discriminator loss: 0.497350, acc: 0.757812] [adversarial loss: 1.272573, acc: 0.187500] 17108: [discriminator loss: 0.496407, acc: 0.773438] [adversarial loss: 0.887618, acc: 0.500000] 17109: [discriminator loss: 0.541251, acc: 0.695312] [adversarial loss: 1.490195, acc: 0.187500] 17110: [discriminator loss: 0.582499, acc: 0.703125] [adversarial loss: 0.909621, acc: 0.343750] 17111: [discriminator loss: 0.565546, acc: 0.656250] [adversarial loss: 1.365009, acc: 0.140625] 17112: [discriminator loss: 0.507543, acc: 0.726562] [adversarial loss: 0.841543, acc: 0.484375] 17113: [discriminator loss: 0.569695, acc: 0.718750] [adversarial loss: 1.394876, acc: 0.140625] 17114: [discriminator loss: 0.542245, acc: 0.703125] [adversarial loss: 0.837831, acc: 0.468750] 17115: [discriminator loss: 0.554970, acc: 0.695312] [adversarial loss: 1.364063, acc: 0.156250] 17116: [discriminator loss: 0.710383, acc: 0.632812] [adversarial loss: 0.862191, acc: 0.421875] 17117: [discriminator loss: 0.565334, acc: 0.671875] [adversarial loss: 1.314308, acc: 0.171875] 17118: [discriminator loss: 0.584810, acc: 0.687500] [adversarial loss: 0.976556, acc: 0.406250] 17119: [discriminator loss: 0.547745, acc: 0.671875] [adversarial loss: 1.710947, acc: 0.093750] 17120: [discriminator loss: 0.561336, acc: 0.703125] [adversarial loss: 1.025356, acc: 0.359375] 17121: [discriminator loss: 0.569844, acc: 0.703125] [adversarial loss: 1.459217, acc: 0.125000] 17122: [discriminator loss: 0.544255, acc: 0.710938] [adversarial loss: 1.202141, acc: 0.187500] 17123: [discriminator loss: 0.549600, acc: 0.695312] [adversarial loss: 1.244980, acc: 0.250000] 17124: [discriminator loss: 0.488842, acc: 0.773438] [adversarial loss: 1.400775, acc: 0.140625] 17125: [discriminator loss: 0.555416, acc: 0.726562] [adversarial loss: 1.338061, acc: 0.187500] 17126: [discriminator loss: 0.601622, acc: 0.695312] [adversarial loss: 0.783746, acc: 0.562500] 17127: [discriminator loss: 0.582544, acc: 0.679688] [adversarial loss: 1.476987, acc: 0.140625] 17128: [discriminator loss: 0.555503, acc: 0.726562] [adversarial loss: 0.748109, acc: 0.562500] 17129: [discriminator loss: 0.626727, acc: 0.640625] [adversarial loss: 1.570566, acc: 0.109375] 17130: [discriminator loss: 0.526268, acc: 0.703125] [adversarial loss: 0.861351, acc: 0.453125] 17131: [discriminator loss: 0.526346, acc: 0.734375] [adversarial loss: 1.195651, acc: 0.250000] 17132: [discriminator loss: 0.568467, acc: 0.664062] [adversarial loss: 0.963721, acc: 0.390625] 17133: [discriminator loss: 0.547346, acc: 0.687500] [adversarial loss: 1.445410, acc: 0.156250] 17134: [discriminator loss: 0.562359, acc: 0.710938] [adversarial loss: 0.984239, acc: 0.453125] 17135: [discriminator loss: 0.511913, acc: 0.781250] [adversarial loss: 1.290518, acc: 0.265625] 17136: [discriminator loss: 0.492215, acc: 0.789062] [adversarial loss: 0.964151, acc: 0.359375] 17137: [discriminator loss: 0.525915, acc: 0.718750] [adversarial loss: 1.213253, acc: 0.203125] 17138: [discriminator loss: 0.500809, acc: 0.789062] [adversarial loss: 1.091832, acc: 0.359375] 17139: [discriminator loss: 0.541725, acc: 0.734375] [adversarial loss: 1.057478, acc: 0.296875] 17140: [discriminator loss: 0.608332, acc: 0.664062] [adversarial loss: 1.311332, acc: 0.218750] 17141: [discriminator loss: 0.524711, acc: 0.757812] [adversarial loss: 0.855753, acc: 0.453125] 17142: [discriminator loss: 0.477238, acc: 0.765625] [adversarial loss: 1.343846, acc: 0.171875] 17143: [discriminator loss: 0.493525, acc: 0.734375] [adversarial loss: 1.193300, acc: 0.234375] 17144: [discriminator loss: 0.536662, acc: 0.703125] [adversarial loss: 1.372633, acc: 0.171875] 17145: [discriminator loss: 0.611817, acc: 0.671875] [adversarial loss: 0.794676, acc: 0.531250] 17146: [discriminator loss: 0.545767, acc: 0.726562] [adversarial loss: 1.326714, acc: 0.187500] 17147: [discriminator loss: 0.603179, acc: 0.617188] [adversarial loss: 1.143109, acc: 0.281250] 17148: [discriminator loss: 0.535980, acc: 0.718750] [adversarial loss: 1.391620, acc: 0.203125] 17149: [discriminator loss: 0.545123, acc: 0.695312] [adversarial loss: 0.852305, acc: 0.468750] 17150: [discriminator loss: 0.584553, acc: 0.687500] [adversarial loss: 1.751171, acc: 0.109375] 17151: [discriminator loss: 0.606003, acc: 0.609375] [adversarial loss: 0.872322, acc: 0.390625] 17152: [discriminator loss: 0.593138, acc: 0.695312] [adversarial loss: 1.365955, acc: 0.140625] 17153: [discriminator loss: 0.617991, acc: 0.632812] [adversarial loss: 1.163253, acc: 0.218750] 17154: [discriminator loss: 0.614247, acc: 0.640625] [adversarial loss: 1.208759, acc: 0.234375] 17155: [discriminator loss: 0.530306, acc: 0.710938] [adversarial loss: 0.898045, acc: 0.421875] 17156: [discriminator loss: 0.542586, acc: 0.726562] [adversarial loss: 1.373095, acc: 0.203125] 17157: [discriminator loss: 0.512839, acc: 0.718750] [adversarial loss: 0.988118, acc: 0.250000] 17158: [discriminator loss: 0.592842, acc: 0.687500] [adversarial loss: 1.322497, acc: 0.203125] 17159: [discriminator loss: 0.574835, acc: 0.679688] [adversarial loss: 0.849390, acc: 0.484375] 17160: [discriminator loss: 0.541080, acc: 0.750000] [adversarial loss: 1.416393, acc: 0.171875] 17161: [discriminator loss: 0.585029, acc: 0.664062] [adversarial loss: 0.884673, acc: 0.406250] 17162: [discriminator loss: 0.520734, acc: 0.718750] [adversarial loss: 1.619582, acc: 0.093750] 17163: [discriminator loss: 0.617249, acc: 0.679688] [adversarial loss: 0.841775, acc: 0.437500] 17164: [discriminator loss: 0.564347, acc: 0.710938] [adversarial loss: 1.449212, acc: 0.125000] 17165: [discriminator loss: 0.576108, acc: 0.687500] [adversarial loss: 0.779167, acc: 0.515625] 17166: [discriminator loss: 0.579771, acc: 0.679688] [adversarial loss: 1.426737, acc: 0.140625] 17167: [discriminator loss: 0.622862, acc: 0.640625] [adversarial loss: 0.877220, acc: 0.453125] 17168: [discriminator loss: 0.547237, acc: 0.710938] [adversarial loss: 1.525775, acc: 0.046875] 17169: [discriminator loss: 0.593412, acc: 0.656250] [adversarial loss: 0.937428, acc: 0.328125] 17170: [discriminator loss: 0.557613, acc: 0.718750] [adversarial loss: 0.999606, acc: 0.281250] 17171: [discriminator loss: 0.532859, acc: 0.726562] [adversarial loss: 1.252085, acc: 0.203125] 17172: [discriminator loss: 0.563915, acc: 0.687500] [adversarial loss: 0.952962, acc: 0.343750] 17173: [discriminator loss: 0.523601, acc: 0.781250] [adversarial loss: 1.028163, acc: 0.375000] 17174: [discriminator loss: 0.500004, acc: 0.742188] [adversarial loss: 1.262979, acc: 0.218750] 17175: [discriminator loss: 0.562778, acc: 0.726562] [adversarial loss: 1.116098, acc: 0.234375] 17176: [discriminator loss: 0.538620, acc: 0.710938] [adversarial loss: 1.450270, acc: 0.125000] 17177: [discriminator loss: 0.643710, acc: 0.632812] [adversarial loss: 1.044896, acc: 0.234375] 17178: [discriminator loss: 0.545374, acc: 0.726562] [adversarial loss: 1.177745, acc: 0.234375] 17179: [discriminator loss: 0.528904, acc: 0.695312] [adversarial loss: 0.777350, acc: 0.531250] 17180: [discriminator loss: 0.584851, acc: 0.703125] [adversarial loss: 1.343174, acc: 0.218750] 17181: [discriminator loss: 0.544009, acc: 0.726562] [adversarial loss: 1.108694, acc: 0.171875] 17182: [discriminator loss: 0.539891, acc: 0.742188] [adversarial loss: 1.030393, acc: 0.343750] 17183: [discriminator loss: 0.540338, acc: 0.726562] [adversarial loss: 1.246564, acc: 0.218750] 17184: [discriminator loss: 0.550135, acc: 0.679688] [adversarial loss: 0.932890, acc: 0.359375] 17185: [discriminator loss: 0.558635, acc: 0.718750] [adversarial loss: 1.618729, acc: 0.171875] 17186: [discriminator loss: 0.660166, acc: 0.648438] [adversarial loss: 0.748622, acc: 0.546875] 17187: [discriminator loss: 0.552653, acc: 0.726562] [adversarial loss: 1.479758, acc: 0.187500] 17188: [discriminator loss: 0.603492, acc: 0.664062] [adversarial loss: 1.034898, acc: 0.421875] 17189: [discriminator loss: 0.547121, acc: 0.710938] [adversarial loss: 1.318105, acc: 0.203125] 17190: [discriminator loss: 0.580445, acc: 0.695312] [adversarial loss: 0.760293, acc: 0.500000] 17191: [discriminator loss: 0.597253, acc: 0.679688] [adversarial loss: 1.423971, acc: 0.187500] 17192: [discriminator loss: 0.481240, acc: 0.742188] [adversarial loss: 0.987583, acc: 0.406250] 17193: [discriminator loss: 0.571311, acc: 0.710938] [adversarial loss: 1.470603, acc: 0.093750] 17194: [discriminator loss: 0.586437, acc: 0.648438] [adversarial loss: 0.944495, acc: 0.343750] 17195: [discriminator loss: 0.551360, acc: 0.710938] [adversarial loss: 1.496149, acc: 0.093750] 17196: [discriminator loss: 0.538041, acc: 0.695312] [adversarial loss: 0.897619, acc: 0.406250] 17197: [discriminator loss: 0.530585, acc: 0.703125] [adversarial loss: 1.206858, acc: 0.250000] 17198: [discriminator loss: 0.493360, acc: 0.828125] [adversarial loss: 1.214678, acc: 0.281250] 17199: [discriminator loss: 0.589444, acc: 0.710938] [adversarial loss: 1.214521, acc: 0.203125] 17200: [discriminator loss: 0.611362, acc: 0.671875] [adversarial loss: 1.278893, acc: 0.156250] 17201: [discriminator loss: 0.493910, acc: 0.765625] [adversarial loss: 1.362623, acc: 0.218750] 17202: [discriminator loss: 0.515951, acc: 0.742188] [adversarial loss: 1.263288, acc: 0.187500] 17203: [discriminator loss: 0.519662, acc: 0.812500] [adversarial loss: 0.895826, acc: 0.406250] 17204: [discriminator loss: 0.518811, acc: 0.710938] [adversarial loss: 1.165455, acc: 0.265625] 17205: [discriminator loss: 0.550983, acc: 0.679688] [adversarial loss: 1.077977, acc: 0.250000] 17206: [discriminator loss: 0.527718, acc: 0.757812] [adversarial loss: 1.284404, acc: 0.218750] 17207: [discriminator loss: 0.560374, acc: 0.679688] [adversarial loss: 1.033249, acc: 0.359375] 17208: [discriminator loss: 0.589266, acc: 0.664062] [adversarial loss: 1.473381, acc: 0.093750] 17209: [discriminator loss: 0.600916, acc: 0.695312] [adversarial loss: 0.828615, acc: 0.468750] 17210: [discriminator loss: 0.526855, acc: 0.718750] [adversarial loss: 1.569362, acc: 0.062500] 17211: [discriminator loss: 0.619228, acc: 0.640625] [adversarial loss: 0.719144, acc: 0.578125] 17212: [discriminator loss: 0.596202, acc: 0.671875] [adversarial loss: 1.337328, acc: 0.156250] 17213: [discriminator loss: 0.525940, acc: 0.734375] [adversarial loss: 0.807828, acc: 0.421875] 17214: [discriminator loss: 0.575653, acc: 0.640625] [adversarial loss: 1.311863, acc: 0.234375] 17215: [discriminator loss: 0.548884, acc: 0.695312] [adversarial loss: 1.273285, acc: 0.187500] 17216: [discriminator loss: 0.472353, acc: 0.773438] [adversarial loss: 0.968237, acc: 0.421875] 17217: [discriminator loss: 0.571678, acc: 0.703125] [adversarial loss: 1.104912, acc: 0.312500] 17218: [discriminator loss: 0.540490, acc: 0.742188] [adversarial loss: 1.621219, acc: 0.093750] 17219: [discriminator loss: 0.584730, acc: 0.664062] [adversarial loss: 0.757577, acc: 0.562500] 17220: [discriminator loss: 0.583427, acc: 0.679688] [adversarial loss: 1.568729, acc: 0.125000] 17221: [discriminator loss: 0.607900, acc: 0.656250] [adversarial loss: 1.008202, acc: 0.375000] 17222: [discriminator loss: 0.547095, acc: 0.656250] [adversarial loss: 1.481074, acc: 0.109375] 17223: [discriminator loss: 0.570967, acc: 0.718750] [adversarial loss: 0.924133, acc: 0.375000] 17224: [discriminator loss: 0.559918, acc: 0.750000] [adversarial loss: 1.543496, acc: 0.156250] 17225: [discriminator loss: 0.584283, acc: 0.671875] [adversarial loss: 0.812183, acc: 0.546875] 17226: [discriminator loss: 0.575725, acc: 0.671875] [adversarial loss: 1.380884, acc: 0.171875] 17227: [discriminator loss: 0.529922, acc: 0.656250] [adversarial loss: 0.905855, acc: 0.484375] 17228: [discriminator loss: 0.573420, acc: 0.726562] [adversarial loss: 1.438987, acc: 0.187500] 17229: [discriminator loss: 0.543599, acc: 0.757812] [adversarial loss: 0.944881, acc: 0.406250] 17230: [discriminator loss: 0.583519, acc: 0.703125] [adversarial loss: 1.250150, acc: 0.234375] 17231: [discriminator loss: 0.543464, acc: 0.726562] [adversarial loss: 1.346412, acc: 0.250000] 17232: [discriminator loss: 0.582017, acc: 0.687500] [adversarial loss: 1.017643, acc: 0.265625] 17233: [discriminator loss: 0.584637, acc: 0.656250] [adversarial loss: 1.374044, acc: 0.187500] 17234: [discriminator loss: 0.554985, acc: 0.695312] [adversarial loss: 1.003502, acc: 0.296875] 17235: [discriminator loss: 0.513234, acc: 0.734375] [adversarial loss: 1.448728, acc: 0.140625] 17236: [discriminator loss: 0.659238, acc: 0.632812] [adversarial loss: 0.944487, acc: 0.375000] 17237: [discriminator loss: 0.570910, acc: 0.710938] [adversarial loss: 1.608970, acc: 0.078125] 17238: [discriminator loss: 0.593923, acc: 0.625000] [adversarial loss: 0.810869, acc: 0.546875] 17239: [discriminator loss: 0.596283, acc: 0.695312] [adversarial loss: 1.439040, acc: 0.171875] 17240: [discriminator loss: 0.549506, acc: 0.687500] [adversarial loss: 0.937513, acc: 0.421875] 17241: [discriminator loss: 0.559776, acc: 0.695312] [adversarial loss: 0.982565, acc: 0.343750] 17242: [discriminator loss: 0.538586, acc: 0.687500] [adversarial loss: 0.986581, acc: 0.312500] 17243: [discriminator loss: 0.598697, acc: 0.718750] [adversarial loss: 1.084196, acc: 0.234375] 17244: [discriminator loss: 0.560766, acc: 0.718750] [adversarial loss: 1.108440, acc: 0.281250] 17245: [discriminator loss: 0.538867, acc: 0.710938] [adversarial loss: 1.181418, acc: 0.281250] 17246: [discriminator loss: 0.572768, acc: 0.648438] [adversarial loss: 1.023290, acc: 0.375000] 17247: [discriminator loss: 0.555662, acc: 0.710938] [adversarial loss: 1.271076, acc: 0.234375] 17248: [discriminator loss: 0.615457, acc: 0.625000] [adversarial loss: 1.258707, acc: 0.171875] 17249: [discriminator loss: 0.544461, acc: 0.726562] [adversarial loss: 0.744769, acc: 0.593750] 17250: [discriminator loss: 0.519597, acc: 0.710938] [adversarial loss: 1.370865, acc: 0.203125] 17251: [discriminator loss: 0.492573, acc: 0.765625] [adversarial loss: 0.992779, acc: 0.390625] 17252: [discriminator loss: 0.531376, acc: 0.710938] [adversarial loss: 1.323028, acc: 0.187500] 17253: [discriminator loss: 0.606276, acc: 0.640625] [adversarial loss: 0.801541, acc: 0.468750] 17254: [discriminator loss: 0.625418, acc: 0.687500] [adversarial loss: 1.765516, acc: 0.031250] 17255: [discriminator loss: 0.601817, acc: 0.625000] [adversarial loss: 0.723064, acc: 0.531250] 17256: [discriminator loss: 0.613564, acc: 0.671875] [adversarial loss: 1.531435, acc: 0.156250] 17257: [discriminator loss: 0.588661, acc: 0.687500] [adversarial loss: 0.905277, acc: 0.437500] 17258: [discriminator loss: 0.533800, acc: 0.757812] [adversarial loss: 1.307427, acc: 0.203125] 17259: [discriminator loss: 0.522637, acc: 0.703125] [adversarial loss: 1.000067, acc: 0.359375] 17260: [discriminator loss: 0.564146, acc: 0.679688] [adversarial loss: 1.227212, acc: 0.171875] 17261: [discriminator loss: 0.570293, acc: 0.687500] [adversarial loss: 0.884156, acc: 0.437500] 17262: [discriminator loss: 0.525679, acc: 0.718750] [adversarial loss: 1.366470, acc: 0.218750] 17263: [discriminator loss: 0.551450, acc: 0.679688] [adversarial loss: 0.982895, acc: 0.359375] 17264: [discriminator loss: 0.508992, acc: 0.750000] [adversarial loss: 1.311879, acc: 0.203125] 17265: [discriminator loss: 0.562961, acc: 0.695312] [adversarial loss: 1.059875, acc: 0.328125] 17266: [discriminator loss: 0.514934, acc: 0.726562] [adversarial loss: 1.068232, acc: 0.359375] 17267: [discriminator loss: 0.514617, acc: 0.695312] [adversarial loss: 1.173814, acc: 0.281250] 17268: [discriminator loss: 0.577320, acc: 0.671875] [adversarial loss: 1.194227, acc: 0.234375] 17269: [discriminator loss: 0.526627, acc: 0.750000] [adversarial loss: 1.326376, acc: 0.234375] 17270: [discriminator loss: 0.578276, acc: 0.625000] [adversarial loss: 1.087740, acc: 0.234375] 17271: [discriminator loss: 0.553706, acc: 0.625000] [adversarial loss: 1.101043, acc: 0.343750] 17272: [discriminator loss: 0.537816, acc: 0.726562] [adversarial loss: 0.933301, acc: 0.359375] 17273: [discriminator loss: 0.570583, acc: 0.703125] [adversarial loss: 0.923903, acc: 0.359375] 17274: [discriminator loss: 0.529486, acc: 0.695312] [adversarial loss: 1.293577, acc: 0.203125] 17275: [discriminator loss: 0.514878, acc: 0.750000] [adversarial loss: 0.871559, acc: 0.468750] 17276: [discriminator loss: 0.508562, acc: 0.750000] [adversarial loss: 1.306714, acc: 0.125000] 17277: [discriminator loss: 0.495222, acc: 0.750000] [adversarial loss: 1.181427, acc: 0.296875] 17278: [discriminator loss: 0.582902, acc: 0.703125] [adversarial loss: 1.526338, acc: 0.125000] 17279: [discriminator loss: 0.556960, acc: 0.679688] [adversarial loss: 0.763346, acc: 0.437500] 17280: [discriminator loss: 0.629479, acc: 0.648438] [adversarial loss: 1.559525, acc: 0.109375] 17281: [discriminator loss: 0.547934, acc: 0.687500] [adversarial loss: 0.812007, acc: 0.515625] 17282: [discriminator loss: 0.625537, acc: 0.640625] [adversarial loss: 1.322200, acc: 0.109375] 17283: [discriminator loss: 0.588456, acc: 0.671875] [adversarial loss: 0.944587, acc: 0.437500] 17284: [discriminator loss: 0.546797, acc: 0.695312] [adversarial loss: 1.156079, acc: 0.234375] 17285: [discriminator loss: 0.537397, acc: 0.718750] [adversarial loss: 1.050335, acc: 0.234375] 17286: [discriminator loss: 0.535587, acc: 0.734375] [adversarial loss: 1.126563, acc: 0.234375] 17287: [discriminator loss: 0.578578, acc: 0.679688] [adversarial loss: 1.005137, acc: 0.375000] 17288: [discriminator loss: 0.477214, acc: 0.750000] [adversarial loss: 1.329271, acc: 0.171875] 17289: [discriminator loss: 0.576765, acc: 0.703125] [adversarial loss: 0.985153, acc: 0.421875] 17290: [discriminator loss: 0.559529, acc: 0.695312] [adversarial loss: 1.215174, acc: 0.250000] 17291: [discriminator loss: 0.560563, acc: 0.710938] [adversarial loss: 1.034838, acc: 0.296875] 17292: [discriminator loss: 0.524944, acc: 0.750000] [adversarial loss: 1.180871, acc: 0.234375] 17293: [discriminator loss: 0.519738, acc: 0.734375] [adversarial loss: 1.161845, acc: 0.312500] 17294: [discriminator loss: 0.563267, acc: 0.710938] [adversarial loss: 1.374039, acc: 0.125000] 17295: [discriminator loss: 0.536042, acc: 0.695312] [adversarial loss: 0.864899, acc: 0.437500] 17296: [discriminator loss: 0.537359, acc: 0.679688] [adversarial loss: 1.725934, acc: 0.093750] 17297: [discriminator loss: 0.610273, acc: 0.648438] [adversarial loss: 0.718758, acc: 0.562500] 17298: [discriminator loss: 0.594590, acc: 0.664062] [adversarial loss: 1.361579, acc: 0.203125] 17299: [discriminator loss: 0.564636, acc: 0.710938] [adversarial loss: 1.062985, acc: 0.328125] 17300: [discriminator loss: 0.500861, acc: 0.742188] [adversarial loss: 1.012990, acc: 0.343750] 17301: [discriminator loss: 0.486323, acc: 0.789062] [adversarial loss: 1.053011, acc: 0.343750] 17302: [discriminator loss: 0.483435, acc: 0.742188] [adversarial loss: 1.314744, acc: 0.312500] 17303: [discriminator loss: 0.515128, acc: 0.742188] [adversarial loss: 1.304078, acc: 0.250000] 17304: [discriminator loss: 0.548299, acc: 0.695312] [adversarial loss: 1.029036, acc: 0.328125] 17305: [discriminator loss: 0.491642, acc: 0.742188] [adversarial loss: 1.462002, acc: 0.125000] 17306: [discriminator loss: 0.580503, acc: 0.664062] [adversarial loss: 0.844326, acc: 0.500000] 17307: [discriminator loss: 0.513077, acc: 0.757812] [adversarial loss: 1.438990, acc: 0.171875] 17308: [discriminator loss: 0.598504, acc: 0.656250] [adversarial loss: 1.030310, acc: 0.281250] 17309: [discriminator loss: 0.556956, acc: 0.703125] [adversarial loss: 1.257588, acc: 0.218750] 17310: [discriminator loss: 0.504406, acc: 0.750000] [adversarial loss: 1.128248, acc: 0.281250] 17311: [discriminator loss: 0.527318, acc: 0.750000] [adversarial loss: 1.178191, acc: 0.328125] 17312: [discriminator loss: 0.571499, acc: 0.687500] [adversarial loss: 1.507870, acc: 0.140625] 17313: [discriminator loss: 0.599040, acc: 0.656250] [adversarial loss: 0.798123, acc: 0.515625] 17314: [discriminator loss: 0.531218, acc: 0.757812] [adversarial loss: 1.381175, acc: 0.218750] 17315: [discriminator loss: 0.588545, acc: 0.687500] [adversarial loss: 0.963070, acc: 0.390625] 17316: [discriminator loss: 0.575673, acc: 0.734375] [adversarial loss: 1.589512, acc: 0.062500] 17317: [discriminator loss: 0.614279, acc: 0.687500] [adversarial loss: 0.915118, acc: 0.484375] 17318: [discriminator loss: 0.568376, acc: 0.695312] [adversarial loss: 1.602929, acc: 0.109375] 17319: [discriminator loss: 0.467415, acc: 0.765625] [adversarial loss: 1.142157, acc: 0.281250] 17320: [discriminator loss: 0.539397, acc: 0.742188] [adversarial loss: 1.189248, acc: 0.234375] 17321: [discriminator loss: 0.574510, acc: 0.679688] [adversarial loss: 1.083233, acc: 0.265625] 17322: [discriminator loss: 0.509527, acc: 0.710938] [adversarial loss: 1.314832, acc: 0.187500] 17323: [discriminator loss: 0.535701, acc: 0.671875] [adversarial loss: 1.175781, acc: 0.281250] 17324: [discriminator loss: 0.626911, acc: 0.671875] [adversarial loss: 0.970944, acc: 0.343750] 17325: [discriminator loss: 0.516062, acc: 0.695312] [adversarial loss: 0.983900, acc: 0.250000] 17326: [discriminator loss: 0.555575, acc: 0.710938] [adversarial loss: 1.377909, acc: 0.218750] 17327: [discriminator loss: 0.557569, acc: 0.679688] [adversarial loss: 0.760718, acc: 0.515625] 17328: [discriminator loss: 0.548083, acc: 0.679688] [adversarial loss: 1.415913, acc: 0.156250] 17329: [discriminator loss: 0.577728, acc: 0.632812] [adversarial loss: 0.900578, acc: 0.390625] 17330: [discriminator loss: 0.576414, acc: 0.687500] [adversarial loss: 1.473215, acc: 0.031250] 17331: [discriminator loss: 0.558685, acc: 0.710938] [adversarial loss: 0.999560, acc: 0.375000] 17332: [discriminator loss: 0.588148, acc: 0.648438] [adversarial loss: 1.211365, acc: 0.140625] 17333: [discriminator loss: 0.583434, acc: 0.687500] [adversarial loss: 0.840556, acc: 0.484375] 17334: [discriminator loss: 0.537497, acc: 0.757812] [adversarial loss: 1.348244, acc: 0.171875] 17335: [discriminator loss: 0.527194, acc: 0.765625] [adversarial loss: 0.917319, acc: 0.421875] 17336: [discriminator loss: 0.557269, acc: 0.679688] [adversarial loss: 1.145044, acc: 0.281250] 17337: [discriminator loss: 0.520356, acc: 0.718750] [adversarial loss: 1.389248, acc: 0.156250] 17338: [discriminator loss: 0.595615, acc: 0.664062] [adversarial loss: 1.087236, acc: 0.328125] 17339: [discriminator loss: 0.598611, acc: 0.640625] [adversarial loss: 1.644857, acc: 0.046875] 17340: [discriminator loss: 0.636202, acc: 0.640625] [adversarial loss: 0.766495, acc: 0.546875] 17341: [discriminator loss: 0.547528, acc: 0.726562] [adversarial loss: 1.712747, acc: 0.062500] 17342: [discriminator loss: 0.553989, acc: 0.671875] [adversarial loss: 0.818374, acc: 0.546875] 17343: [discriminator loss: 0.718311, acc: 0.601562] [adversarial loss: 1.377103, acc: 0.140625] 17344: [discriminator loss: 0.547440, acc: 0.726562] [adversarial loss: 1.034835, acc: 0.296875] 17345: [discriminator loss: 0.582718, acc: 0.679688] [adversarial loss: 1.213317, acc: 0.234375] 17346: [discriminator loss: 0.569073, acc: 0.671875] [adversarial loss: 0.893129, acc: 0.406250] 17347: [discriminator loss: 0.583099, acc: 0.710938] [adversarial loss: 1.412259, acc: 0.140625] 17348: [discriminator loss: 0.571974, acc: 0.671875] [adversarial loss: 1.085427, acc: 0.359375] 17349: [discriminator loss: 0.529927, acc: 0.703125] [adversarial loss: 1.307201, acc: 0.218750] 17350: [discriminator loss: 0.580649, acc: 0.656250] [adversarial loss: 1.104716, acc: 0.312500] 17351: [discriminator loss: 0.523452, acc: 0.710938] [adversarial loss: 1.335558, acc: 0.265625] 17352: [discriminator loss: 0.600928, acc: 0.664062] [adversarial loss: 1.052584, acc: 0.265625] 17353: [discriminator loss: 0.618286, acc: 0.671875] [adversarial loss: 1.361891, acc: 0.171875] 17354: [discriminator loss: 0.510250, acc: 0.765625] [adversarial loss: 1.276115, acc: 0.187500] 17355: [discriminator loss: 0.595794, acc: 0.687500] [adversarial loss: 0.945445, acc: 0.343750] 17356: [discriminator loss: 0.494153, acc: 0.773438] [adversarial loss: 1.529187, acc: 0.093750] 17357: [discriminator loss: 0.522114, acc: 0.718750] [adversarial loss: 0.954721, acc: 0.375000] 17358: [discriminator loss: 0.630419, acc: 0.695312] [adversarial loss: 1.382650, acc: 0.203125] 17359: [discriminator loss: 0.525246, acc: 0.757812] [adversarial loss: 0.972812, acc: 0.343750] 17360: [discriminator loss: 0.576839, acc: 0.679688] [adversarial loss: 1.371083, acc: 0.125000] 17361: [discriminator loss: 0.594813, acc: 0.695312] [adversarial loss: 0.911059, acc: 0.468750] 17362: [discriminator loss: 0.598936, acc: 0.664062] [adversarial loss: 1.489995, acc: 0.093750] 17363: [discriminator loss: 0.539492, acc: 0.718750] [adversarial loss: 0.755498, acc: 0.500000] 17364: [discriminator loss: 0.560659, acc: 0.679688] [adversarial loss: 1.711646, acc: 0.078125] 17365: [discriminator loss: 0.597199, acc: 0.664062] [adversarial loss: 0.737455, acc: 0.625000] 17366: [discriminator loss: 0.594912, acc: 0.656250] [adversarial loss: 1.444043, acc: 0.171875] 17367: [discriminator loss: 0.529974, acc: 0.703125] [adversarial loss: 1.073931, acc: 0.296875] 17368: [discriminator loss: 0.582945, acc: 0.679688] [adversarial loss: 1.104413, acc: 0.296875] 17369: [discriminator loss: 0.498661, acc: 0.757812] [adversarial loss: 1.216013, acc: 0.265625] 17370: [discriminator loss: 0.508274, acc: 0.718750] [adversarial loss: 0.932852, acc: 0.406250] 17371: [discriminator loss: 0.540438, acc: 0.695312] [adversarial loss: 1.354969, acc: 0.187500] 17372: [discriminator loss: 0.523539, acc: 0.718750] [adversarial loss: 0.851353, acc: 0.484375] 17373: [discriminator loss: 0.613197, acc: 0.640625] [adversarial loss: 1.508084, acc: 0.078125] 17374: [discriminator loss: 0.583579, acc: 0.664062] [adversarial loss: 0.895863, acc: 0.421875] 17375: [discriminator loss: 0.552064, acc: 0.710938] [adversarial loss: 1.397397, acc: 0.125000] 17376: [discriminator loss: 0.500938, acc: 0.781250] [adversarial loss: 1.203236, acc: 0.234375] 17377: [discriminator loss: 0.561345, acc: 0.726562] [adversarial loss: 1.150005, acc: 0.203125] 17378: [discriminator loss: 0.618273, acc: 0.679688] [adversarial loss: 1.282825, acc: 0.187500] 17379: [discriminator loss: 0.536956, acc: 0.734375] [adversarial loss: 1.211466, acc: 0.265625] 17380: [discriminator loss: 0.555283, acc: 0.710938] [adversarial loss: 1.139723, acc: 0.218750] 17381: [discriminator loss: 0.571408, acc: 0.695312] [adversarial loss: 1.265984, acc: 0.203125] 17382: [discriminator loss: 0.553288, acc: 0.734375] [adversarial loss: 1.042843, acc: 0.281250] 17383: [discriminator loss: 0.545387, acc: 0.734375] [adversarial loss: 1.138006, acc: 0.234375] 17384: [discriminator loss: 0.575413, acc: 0.703125] [adversarial loss: 1.209722, acc: 0.218750] 17385: [discriminator loss: 0.562935, acc: 0.710938] [adversarial loss: 1.061133, acc: 0.343750] 17386: [discriminator loss: 0.503314, acc: 0.703125] [adversarial loss: 1.517957, acc: 0.109375] 17387: [discriminator loss: 0.534250, acc: 0.687500] [adversarial loss: 1.001783, acc: 0.406250] 17388: [discriminator loss: 0.611273, acc: 0.656250] [adversarial loss: 1.390421, acc: 0.093750] 17389: [discriminator loss: 0.624461, acc: 0.648438] [adversarial loss: 1.169834, acc: 0.250000] 17390: [discriminator loss: 0.477511, acc: 0.804688] [adversarial loss: 1.139736, acc: 0.203125] 17391: [discriminator loss: 0.525723, acc: 0.742188] [adversarial loss: 1.521808, acc: 0.125000] 17392: [discriminator loss: 0.639010, acc: 0.625000] [adversarial loss: 0.944635, acc: 0.515625] 17393: [discriminator loss: 0.573307, acc: 0.695312] [adversarial loss: 1.611075, acc: 0.078125] 17394: [discriminator loss: 0.533758, acc: 0.734375] [adversarial loss: 0.804338, acc: 0.484375] 17395: [discriminator loss: 0.621633, acc: 0.648438] [adversarial loss: 1.744485, acc: 0.062500] 17396: [discriminator loss: 0.511068, acc: 0.750000] [adversarial loss: 0.804567, acc: 0.515625] 17397: [discriminator loss: 0.510865, acc: 0.742188] [adversarial loss: 1.497424, acc: 0.125000] 17398: [discriminator loss: 0.594791, acc: 0.648438] [adversarial loss: 0.850609, acc: 0.468750] 17399: [discriminator loss: 0.542564, acc: 0.734375] [adversarial loss: 1.630510, acc: 0.062500] 17400: [discriminator loss: 0.513842, acc: 0.765625] [adversarial loss: 1.001791, acc: 0.343750] 17401: [discriminator loss: 0.525089, acc: 0.734375] [adversarial loss: 1.225201, acc: 0.250000] 17402: [discriminator loss: 0.590793, acc: 0.664062] [adversarial loss: 1.024112, acc: 0.296875] 17403: [discriminator loss: 0.556425, acc: 0.710938] [adversarial loss: 1.039412, acc: 0.359375] 17404: [discriminator loss: 0.552733, acc: 0.718750] [adversarial loss: 1.135199, acc: 0.328125] 17405: [discriminator loss: 0.512949, acc: 0.773438] [adversarial loss: 1.267903, acc: 0.171875] 17406: [discriminator loss: 0.528602, acc: 0.710938] [adversarial loss: 1.129064, acc: 0.328125] 17407: [discriminator loss: 0.510814, acc: 0.710938] [adversarial loss: 1.112109, acc: 0.296875] 17408: [discriminator loss: 0.513753, acc: 0.757812] [adversarial loss: 1.303790, acc: 0.156250] 17409: [discriminator loss: 0.553505, acc: 0.734375] [adversarial loss: 1.041635, acc: 0.328125] 17410: [discriminator loss: 0.553563, acc: 0.695312] [adversarial loss: 1.431723, acc: 0.156250] 17411: [discriminator loss: 0.546043, acc: 0.726562] [adversarial loss: 0.720179, acc: 0.515625] 17412: [discriminator loss: 0.672079, acc: 0.585938] [adversarial loss: 1.649609, acc: 0.093750] 17413: [discriminator loss: 0.635925, acc: 0.640625] [adversarial loss: 0.942267, acc: 0.406250] 17414: [discriminator loss: 0.603593, acc: 0.656250] [adversarial loss: 1.345379, acc: 0.140625] 17415: [discriminator loss: 0.558740, acc: 0.695312] [adversarial loss: 1.033961, acc: 0.390625] 17416: [discriminator loss: 0.585569, acc: 0.718750] [adversarial loss: 1.525232, acc: 0.140625] 17417: [discriminator loss: 0.539339, acc: 0.695312] [adversarial loss: 1.120606, acc: 0.203125] 17418: [discriminator loss: 0.507723, acc: 0.726562] [adversarial loss: 1.306646, acc: 0.234375] 17419: [discriminator loss: 0.608887, acc: 0.687500] [adversarial loss: 0.985533, acc: 0.296875] 17420: [discriminator loss: 0.523660, acc: 0.742188] [adversarial loss: 1.050146, acc: 0.250000] 17421: [discriminator loss: 0.532542, acc: 0.773438] [adversarial loss: 1.536668, acc: 0.156250] 17422: [discriminator loss: 0.557111, acc: 0.710938] [adversarial loss: 0.904360, acc: 0.453125] 17423: [discriminator loss: 0.569783, acc: 0.648438] [adversarial loss: 1.430352, acc: 0.125000] 17424: [discriminator loss: 0.507977, acc: 0.718750] [adversarial loss: 1.156569, acc: 0.281250] 17425: [discriminator loss: 0.520546, acc: 0.734375] [adversarial loss: 1.465624, acc: 0.140625] 17426: [discriminator loss: 0.493486, acc: 0.726562] [adversarial loss: 0.994923, acc: 0.359375] 17427: [discriminator loss: 0.467296, acc: 0.757812] [adversarial loss: 1.086401, acc: 0.328125] 17428: [discriminator loss: 0.540401, acc: 0.750000] [adversarial loss: 1.048859, acc: 0.375000] 17429: [discriminator loss: 0.515725, acc: 0.757812] [adversarial loss: 1.287326, acc: 0.218750] 17430: [discriminator loss: 0.545771, acc: 0.710938] [adversarial loss: 0.988375, acc: 0.328125] 17431: [discriminator loss: 0.564770, acc: 0.703125] [adversarial loss: 1.642452, acc: 0.093750] 17432: [discriminator loss: 0.549377, acc: 0.664062] [adversarial loss: 0.766586, acc: 0.625000] 17433: [discriminator loss: 0.609690, acc: 0.656250] [adversarial loss: 1.418793, acc: 0.140625] 17434: [discriminator loss: 0.599056, acc: 0.664062] [adversarial loss: 0.940154, acc: 0.515625] 17435: [discriminator loss: 0.624426, acc: 0.648438] [adversarial loss: 1.193653, acc: 0.265625] 17436: [discriminator loss: 0.544891, acc: 0.750000] [adversarial loss: 1.289125, acc: 0.265625] 17437: [discriminator loss: 0.550878, acc: 0.695312] [adversarial loss: 1.067270, acc: 0.250000] 17438: [discriminator loss: 0.514756, acc: 0.718750] [adversarial loss: 1.154745, acc: 0.265625] 17439: [discriminator loss: 0.620859, acc: 0.679688] [adversarial loss: 1.613464, acc: 0.140625] 17440: [discriminator loss: 0.574795, acc: 0.695312] [adversarial loss: 0.903582, acc: 0.437500] 17441: [discriminator loss: 0.532148, acc: 0.742188] [adversarial loss: 1.305809, acc: 0.156250] 17442: [discriminator loss: 0.590747, acc: 0.695312] [adversarial loss: 1.161003, acc: 0.234375] 17443: [discriminator loss: 0.547823, acc: 0.773438] [adversarial loss: 1.134599, acc: 0.328125] 17444: [discriminator loss: 0.518069, acc: 0.734375] [adversarial loss: 1.045275, acc: 0.296875] 17445: [discriminator loss: 0.596378, acc: 0.679688] [adversarial loss: 1.518145, acc: 0.109375] 17446: [discriminator loss: 0.537597, acc: 0.742188] [adversarial loss: 0.863873, acc: 0.421875] 17447: [discriminator loss: 0.517188, acc: 0.742188] [adversarial loss: 1.511995, acc: 0.125000] 17448: [discriminator loss: 0.552786, acc: 0.687500] [adversarial loss: 0.972620, acc: 0.468750] 17449: [discriminator loss: 0.605655, acc: 0.648438] [adversarial loss: 1.204445, acc: 0.218750] 17450: [discriminator loss: 0.608244, acc: 0.656250] [adversarial loss: 1.357161, acc: 0.156250] 17451: [discriminator loss: 0.524098, acc: 0.781250] [adversarial loss: 1.005020, acc: 0.359375] 17452: [discriminator loss: 0.539295, acc: 0.750000] [adversarial loss: 1.274443, acc: 0.234375] 17453: [discriminator loss: 0.530696, acc: 0.710938] [adversarial loss: 1.089444, acc: 0.343750] 17454: [discriminator loss: 0.539666, acc: 0.742188] [adversarial loss: 1.316461, acc: 0.203125] 17455: [discriminator loss: 0.529697, acc: 0.710938] [adversarial loss: 1.260562, acc: 0.265625] 17456: [discriminator loss: 0.564856, acc: 0.656250] [adversarial loss: 0.851038, acc: 0.437500] 17457: [discriminator loss: 0.621175, acc: 0.640625] [adversarial loss: 1.741425, acc: 0.062500] 17458: [discriminator loss: 0.600990, acc: 0.656250] [adversarial loss: 0.936698, acc: 0.406250] 17459: [discriminator loss: 0.514502, acc: 0.718750] [adversarial loss: 1.124369, acc: 0.296875] 17460: [discriminator loss: 0.563601, acc: 0.671875] [adversarial loss: 0.900811, acc: 0.390625] 17461: [discriminator loss: 0.565044, acc: 0.703125] [adversarial loss: 1.228703, acc: 0.171875] 17462: [discriminator loss: 0.567684, acc: 0.679688] [adversarial loss: 1.124829, acc: 0.281250] 17463: [discriminator loss: 0.543665, acc: 0.710938] [adversarial loss: 1.331271, acc: 0.187500] 17464: [discriminator loss: 0.550410, acc: 0.687500] [adversarial loss: 1.034310, acc: 0.468750] 17465: [discriminator loss: 0.556979, acc: 0.726562] [adversarial loss: 1.244041, acc: 0.281250] 17466: [discriminator loss: 0.521974, acc: 0.757812] [adversarial loss: 1.058841, acc: 0.234375] 17467: [discriminator loss: 0.592696, acc: 0.710938] [adversarial loss: 1.356926, acc: 0.234375] 17468: [discriminator loss: 0.607446, acc: 0.656250] [adversarial loss: 0.856254, acc: 0.453125] 17469: [discriminator loss: 0.540346, acc: 0.718750] [adversarial loss: 1.426220, acc: 0.156250] 17470: [discriminator loss: 0.622396, acc: 0.656250] [adversarial loss: 0.938780, acc: 0.390625] 17471: [discriminator loss: 0.480307, acc: 0.742188] [adversarial loss: 1.495198, acc: 0.109375] 17472: [discriminator loss: 0.627733, acc: 0.593750] [adversarial loss: 0.802620, acc: 0.484375] 17473: [discriminator loss: 0.621695, acc: 0.679688] [adversarial loss: 1.407168, acc: 0.125000] 17474: [discriminator loss: 0.545393, acc: 0.765625] [adversarial loss: 1.028098, acc: 0.296875] 17475: [discriminator loss: 0.477880, acc: 0.734375] [adversarial loss: 1.511533, acc: 0.203125] 17476: [discriminator loss: 0.539374, acc: 0.703125] [adversarial loss: 1.007225, acc: 0.375000] 17477: [discriminator loss: 0.524489, acc: 0.750000] [adversarial loss: 1.270303, acc: 0.156250] 17478: [discriminator loss: 0.545068, acc: 0.734375] [adversarial loss: 1.192770, acc: 0.187500] 17479: [discriminator loss: 0.536936, acc: 0.703125] [adversarial loss: 1.237587, acc: 0.296875] 17480: [discriminator loss: 0.546548, acc: 0.687500] [adversarial loss: 1.189977, acc: 0.265625] 17481: [discriminator loss: 0.476771, acc: 0.789062] [adversarial loss: 1.071399, acc: 0.250000] 17482: [discriminator loss: 0.591719, acc: 0.664062] [adversarial loss: 1.288405, acc: 0.171875] 17483: [discriminator loss: 0.539884, acc: 0.710938] [adversarial loss: 1.045842, acc: 0.312500] 17484: [discriminator loss: 0.559258, acc: 0.703125] [adversarial loss: 1.305147, acc: 0.109375] 17485: [discriminator loss: 0.535890, acc: 0.773438] [adversarial loss: 0.785168, acc: 0.593750] 17486: [discriminator loss: 0.547737, acc: 0.742188] [adversarial loss: 1.452072, acc: 0.156250] 17487: [discriminator loss: 0.521916, acc: 0.703125] [adversarial loss: 1.092694, acc: 0.265625] 17488: [discriminator loss: 0.590112, acc: 0.664062] [adversarial loss: 1.208884, acc: 0.281250] 17489: [discriminator loss: 0.531722, acc: 0.734375] [adversarial loss: 1.207231, acc: 0.265625] 17490: [discriminator loss: 0.551740, acc: 0.671875] [adversarial loss: 1.548969, acc: 0.109375] 17491: [discriminator loss: 0.569064, acc: 0.710938] [adversarial loss: 1.089401, acc: 0.343750] 17492: [discriminator loss: 0.619528, acc: 0.695312] [adversarial loss: 1.207855, acc: 0.187500] 17493: [discriminator loss: 0.564915, acc: 0.718750] [adversarial loss: 0.706949, acc: 0.562500] 17494: [discriminator loss: 0.635658, acc: 0.632812] [adversarial loss: 1.805653, acc: 0.046875] 17495: [discriminator loss: 0.634700, acc: 0.664062] [adversarial loss: 0.818130, acc: 0.468750] 17496: [discriminator loss: 0.553210, acc: 0.773438] [adversarial loss: 1.538017, acc: 0.093750] 17497: [discriminator loss: 0.540397, acc: 0.671875] [adversarial loss: 1.364552, acc: 0.187500] 17498: [discriminator loss: 0.489056, acc: 0.773438] [adversarial loss: 1.159731, acc: 0.296875] 17499: [discriminator loss: 0.593614, acc: 0.710938] [adversarial loss: 1.274398, acc: 0.203125] 17500: [discriminator loss: 0.532537, acc: 0.734375] [adversarial loss: 1.013433, acc: 0.390625] 17501: [discriminator loss: 0.576393, acc: 0.734375] [adversarial loss: 1.296779, acc: 0.156250] 17502: [discriminator loss: 0.571156, acc: 0.703125] [adversarial loss: 0.997282, acc: 0.390625] 17503: [discriminator loss: 0.494797, acc: 0.812500] [adversarial loss: 1.418628, acc: 0.171875] 17504: [discriminator loss: 0.591368, acc: 0.617188] [adversarial loss: 0.745601, acc: 0.531250] 17505: [discriminator loss: 0.604314, acc: 0.601562] [adversarial loss: 1.409941, acc: 0.171875] 17506: [discriminator loss: 0.533568, acc: 0.710938] [adversarial loss: 0.978542, acc: 0.296875] 17507: [discriminator loss: 0.584728, acc: 0.664062] [adversarial loss: 1.172908, acc: 0.265625] 17508: [discriminator loss: 0.570439, acc: 0.718750] [adversarial loss: 1.019422, acc: 0.343750] 17509: [discriminator loss: 0.548936, acc: 0.710938] [adversarial loss: 1.161827, acc: 0.296875] 17510: [discriminator loss: 0.503284, acc: 0.765625] [adversarial loss: 1.322827, acc: 0.125000] 17511: [discriminator loss: 0.549195, acc: 0.687500] [adversarial loss: 1.125411, acc: 0.296875] 17512: [discriminator loss: 0.536548, acc: 0.765625] [adversarial loss: 1.272010, acc: 0.203125] 17513: [discriminator loss: 0.548044, acc: 0.703125] [adversarial loss: 0.941345, acc: 0.406250] 17514: [discriminator loss: 0.572810, acc: 0.687500] [adversarial loss: 1.419169, acc: 0.265625] 17515: [discriminator loss: 0.580723, acc: 0.718750] [adversarial loss: 1.118465, acc: 0.234375] 17516: [discriminator loss: 0.478266, acc: 0.789062] [adversarial loss: 1.141942, acc: 0.265625] 17517: [discriminator loss: 0.531493, acc: 0.710938] [adversarial loss: 1.236705, acc: 0.156250] 17518: [discriminator loss: 0.515747, acc: 0.742188] [adversarial loss: 0.982954, acc: 0.343750] 17519: [discriminator loss: 0.588054, acc: 0.726562] [adversarial loss: 1.175484, acc: 0.203125] 17520: [discriminator loss: 0.567430, acc: 0.687500] [adversarial loss: 1.298916, acc: 0.140625] 17521: [discriminator loss: 0.495136, acc: 0.718750] [adversarial loss: 1.323576, acc: 0.171875] 17522: [discriminator loss: 0.541374, acc: 0.703125] [adversarial loss: 1.111090, acc: 0.312500] 17523: [discriminator loss: 0.626604, acc: 0.664062] [adversarial loss: 1.365631, acc: 0.062500] 17524: [discriminator loss: 0.590983, acc: 0.671875] [adversarial loss: 0.896029, acc: 0.421875] 17525: [discriminator loss: 0.544870, acc: 0.726562] [adversarial loss: 1.425447, acc: 0.093750] 17526: [discriminator loss: 0.570047, acc: 0.718750] [adversarial loss: 0.713511, acc: 0.500000] 17527: [discriminator loss: 0.628240, acc: 0.640625] [adversarial loss: 1.646968, acc: 0.109375] 17528: [discriminator loss: 0.631746, acc: 0.679688] [adversarial loss: 0.791301, acc: 0.500000] 17529: [discriminator loss: 0.643902, acc: 0.656250] [adversarial loss: 1.505687, acc: 0.140625] 17530: [discriminator loss: 0.557628, acc: 0.656250] [adversarial loss: 1.058570, acc: 0.343750] 17531: [discriminator loss: 0.541392, acc: 0.710938] [adversarial loss: 1.138496, acc: 0.218750] 17532: [discriminator loss: 0.590949, acc: 0.726562] [adversarial loss: 1.422841, acc: 0.125000] 17533: [discriminator loss: 0.546445, acc: 0.703125] [adversarial loss: 0.875467, acc: 0.468750] 17534: [discriminator loss: 0.518351, acc: 0.750000] [adversarial loss: 1.314116, acc: 0.218750] 17535: [discriminator loss: 0.535356, acc: 0.664062] [adversarial loss: 1.178436, acc: 0.281250] 17536: [discriminator loss: 0.589495, acc: 0.632812] [adversarial loss: 0.983635, acc: 0.312500] 17537: [discriminator loss: 0.492715, acc: 0.789062] [adversarial loss: 1.119221, acc: 0.281250] 17538: [discriminator loss: 0.583078, acc: 0.703125] [adversarial loss: 0.837141, acc: 0.406250] 17539: [discriminator loss: 0.566893, acc: 0.656250] [adversarial loss: 1.113201, acc: 0.312500] 17540: [discriminator loss: 0.628881, acc: 0.625000] [adversarial loss: 1.098473, acc: 0.312500] 17541: [discriminator loss: 0.527955, acc: 0.765625] [adversarial loss: 0.941603, acc: 0.343750] 17542: [discriminator loss: 0.526971, acc: 0.734375] [adversarial loss: 1.205382, acc: 0.218750] 17543: [discriminator loss: 0.580394, acc: 0.718750] [adversarial loss: 1.164687, acc: 0.250000] 17544: [discriminator loss: 0.534158, acc: 0.679688] [adversarial loss: 1.089393, acc: 0.343750] 17545: [discriminator loss: 0.523496, acc: 0.703125] [adversarial loss: 0.907187, acc: 0.515625] 17546: [discriminator loss: 0.437451, acc: 0.781250] [adversarial loss: 1.138008, acc: 0.265625] 17547: [discriminator loss: 0.549291, acc: 0.726562] [adversarial loss: 0.980095, acc: 0.375000] 17548: [discriminator loss: 0.561124, acc: 0.750000] [adversarial loss: 1.103527, acc: 0.218750] 17549: [discriminator loss: 0.521175, acc: 0.718750] [adversarial loss: 0.903049, acc: 0.421875] 17550: [discriminator loss: 0.606430, acc: 0.671875] [adversarial loss: 1.395434, acc: 0.140625] 17551: [discriminator loss: 0.556529, acc: 0.695312] [adversarial loss: 0.938785, acc: 0.421875] 17552: [discriminator loss: 0.535283, acc: 0.726562] [adversarial loss: 1.635334, acc: 0.078125] 17553: [discriminator loss: 0.528323, acc: 0.710938] [adversarial loss: 0.954922, acc: 0.406250] 17554: [discriminator loss: 0.666529, acc: 0.617188] [adversarial loss: 1.734088, acc: 0.093750] 17555: [discriminator loss: 0.571036, acc: 0.687500] [adversarial loss: 0.897263, acc: 0.500000] 17556: [discriminator loss: 0.552236, acc: 0.765625] [adversarial loss: 1.389098, acc: 0.125000] 17557: [discriminator loss: 0.603136, acc: 0.664062] [adversarial loss: 1.084121, acc: 0.218750] 17558: [discriminator loss: 0.555612, acc: 0.687500] [adversarial loss: 1.345329, acc: 0.140625] 17559: [discriminator loss: 0.482299, acc: 0.828125] [adversarial loss: 0.894092, acc: 0.421875] 17560: [discriminator loss: 0.519921, acc: 0.734375] [adversarial loss: 1.460391, acc: 0.218750] 17561: [discriminator loss: 0.511647, acc: 0.781250] [adversarial loss: 0.989142, acc: 0.343750] 17562: [discriminator loss: 0.540076, acc: 0.750000] [adversarial loss: 1.447670, acc: 0.156250] 17563: [discriminator loss: 0.574259, acc: 0.679688] [adversarial loss: 1.052103, acc: 0.390625] 17564: [discriminator loss: 0.593065, acc: 0.718750] [adversarial loss: 1.077904, acc: 0.250000] 17565: [discriminator loss: 0.511704, acc: 0.765625] [adversarial loss: 1.348441, acc: 0.156250] 17566: [discriminator loss: 0.557101, acc: 0.679688] [adversarial loss: 0.913974, acc: 0.421875] 17567: [discriminator loss: 0.594158, acc: 0.679688] [adversarial loss: 1.403930, acc: 0.156250] 17568: [discriminator loss: 0.582285, acc: 0.718750] [adversarial loss: 1.167572, acc: 0.312500] 17569: [discriminator loss: 0.539738, acc: 0.742188] [adversarial loss: 1.508606, acc: 0.093750] 17570: [discriminator loss: 0.577000, acc: 0.726562] [adversarial loss: 0.777563, acc: 0.562500] 17571: [discriminator loss: 0.606626, acc: 0.632812] [adversarial loss: 1.494046, acc: 0.171875] 17572: [discriminator loss: 0.556948, acc: 0.718750] [adversarial loss: 0.905884, acc: 0.406250] 17573: [discriminator loss: 0.606935, acc: 0.679688] [adversarial loss: 1.468688, acc: 0.140625] 17574: [discriminator loss: 0.593263, acc: 0.617188] [adversarial loss: 0.853198, acc: 0.453125] 17575: [discriminator loss: 0.525479, acc: 0.781250] [adversarial loss: 1.284017, acc: 0.203125] 17576: [discriminator loss: 0.555621, acc: 0.718750] [adversarial loss: 0.829999, acc: 0.500000] 17577: [discriminator loss: 0.526573, acc: 0.718750] [adversarial loss: 1.218763, acc: 0.171875] 17578: [discriminator loss: 0.453378, acc: 0.773438] [adversarial loss: 1.107850, acc: 0.281250] 17579: [discriminator loss: 0.565714, acc: 0.718750] [adversarial loss: 1.148797, acc: 0.390625] 17580: [discriminator loss: 0.544550, acc: 0.734375] [adversarial loss: 1.300939, acc: 0.218750] 17581: [discriminator loss: 0.475580, acc: 0.773438] [adversarial loss: 1.232927, acc: 0.250000] 17582: [discriminator loss: 0.505645, acc: 0.765625] [adversarial loss: 1.109232, acc: 0.265625] 17583: [discriminator loss: 0.544653, acc: 0.742188] [adversarial loss: 1.296799, acc: 0.234375] 17584: [discriminator loss: 0.547545, acc: 0.703125] [adversarial loss: 1.016968, acc: 0.296875] 17585: [discriminator loss: 0.515528, acc: 0.679688] [adversarial loss: 1.376241, acc: 0.109375] 17586: [discriminator loss: 0.628686, acc: 0.671875] [adversarial loss: 0.871035, acc: 0.437500] 17587: [discriminator loss: 0.610847, acc: 0.679688] [adversarial loss: 1.678225, acc: 0.093750] 17588: [discriminator loss: 0.637696, acc: 0.625000] [adversarial loss: 0.709745, acc: 0.625000] 17589: [discriminator loss: 0.581740, acc: 0.695312] [adversarial loss: 1.419249, acc: 0.078125] 17590: [discriminator loss: 0.572792, acc: 0.671875] [adversarial loss: 1.169084, acc: 0.218750] 17591: [discriminator loss: 0.556427, acc: 0.750000] [adversarial loss: 0.923867, acc: 0.359375] 17592: [discriminator loss: 0.508474, acc: 0.742188] [adversarial loss: 1.308116, acc: 0.156250] 17593: [discriminator loss: 0.511115, acc: 0.726562] [adversarial loss: 1.051152, acc: 0.296875] 17594: [discriminator loss: 0.636142, acc: 0.671875] [adversarial loss: 1.338830, acc: 0.187500] 17595: [discriminator loss: 0.541925, acc: 0.656250] [adversarial loss: 1.142452, acc: 0.203125] 17596: [discriminator loss: 0.556195, acc: 0.695312] [adversarial loss: 1.425416, acc: 0.156250] 17597: [discriminator loss: 0.566348, acc: 0.679688] [adversarial loss: 0.723472, acc: 0.562500] 17598: [discriminator loss: 0.617532, acc: 0.609375] [adversarial loss: 1.430060, acc: 0.109375] 17599: [discriminator loss: 0.621172, acc: 0.632812] [adversarial loss: 0.964488, acc: 0.343750] 17600: [discriminator loss: 0.679720, acc: 0.632812] [adversarial loss: 1.483292, acc: 0.078125] 17601: [discriminator loss: 0.598438, acc: 0.648438] [adversarial loss: 0.892013, acc: 0.406250] 17602: [discriminator loss: 0.506042, acc: 0.726562] [adversarial loss: 1.710862, acc: 0.031250] 17603: [discriminator loss: 0.545729, acc: 0.695312] [adversarial loss: 0.920297, acc: 0.375000] 17604: [discriminator loss: 0.590730, acc: 0.718750] [adversarial loss: 1.328841, acc: 0.171875] 17605: [discriminator loss: 0.551235, acc: 0.703125] [adversarial loss: 0.988251, acc: 0.375000] 17606: [discriminator loss: 0.528900, acc: 0.726562] [adversarial loss: 1.361082, acc: 0.125000] 17607: [discriminator loss: 0.563083, acc: 0.687500] [adversarial loss: 1.047152, acc: 0.359375] 17608: [discriminator loss: 0.605769, acc: 0.656250] [adversarial loss: 1.150906, acc: 0.250000] 17609: [discriminator loss: 0.495046, acc: 0.765625] [adversarial loss: 1.153318, acc: 0.218750] 17610: [discriminator loss: 0.540102, acc: 0.734375] [adversarial loss: 1.022012, acc: 0.296875] 17611: [discriminator loss: 0.498695, acc: 0.750000] [adversarial loss: 1.377841, acc: 0.125000] 17612: [discriminator loss: 0.570521, acc: 0.742188] [adversarial loss: 0.915221, acc: 0.421875] 17613: [discriminator loss: 0.581513, acc: 0.671875] [adversarial loss: 1.235030, acc: 0.218750] 17614: [discriminator loss: 0.565201, acc: 0.687500] [adversarial loss: 1.141060, acc: 0.312500] 17615: [discriminator loss: 0.590881, acc: 0.656250] [adversarial loss: 1.281013, acc: 0.187500] 17616: [discriminator loss: 0.462848, acc: 0.773438] [adversarial loss: 1.020320, acc: 0.359375] 17617: [discriminator loss: 0.532239, acc: 0.703125] [adversarial loss: 1.263996, acc: 0.281250] 17618: [discriminator loss: 0.514948, acc: 0.734375] [adversarial loss: 1.083108, acc: 0.359375] 17619: [discriminator loss: 0.581499, acc: 0.679688] [adversarial loss: 1.097526, acc: 0.218750] 17620: [discriminator loss: 0.556753, acc: 0.687500] [adversarial loss: 1.152066, acc: 0.265625] 17621: [discriminator loss: 0.579987, acc: 0.695312] [adversarial loss: 1.137755, acc: 0.296875] 17622: [discriminator loss: 0.560263, acc: 0.703125] [adversarial loss: 1.435287, acc: 0.156250] 17623: [discriminator loss: 0.560694, acc: 0.695312] [adversarial loss: 1.049851, acc: 0.375000] 17624: [discriminator loss: 0.553987, acc: 0.710938] [adversarial loss: 1.656018, acc: 0.093750] 17625: [discriminator loss: 0.594733, acc: 0.687500] [adversarial loss: 0.818117, acc: 0.531250] 17626: [discriminator loss: 0.637278, acc: 0.679688] [adversarial loss: 1.582691, acc: 0.109375] 17627: [discriminator loss: 0.620631, acc: 0.687500] [adversarial loss: 0.785086, acc: 0.500000] 17628: [discriminator loss: 0.552024, acc: 0.703125] [adversarial loss: 1.549800, acc: 0.031250] 17629: [discriminator loss: 0.579142, acc: 0.679688] [adversarial loss: 0.846981, acc: 0.515625] 17630: [discriminator loss: 0.531219, acc: 0.750000] [adversarial loss: 1.194909, acc: 0.218750] 17631: [discriminator loss: 0.557277, acc: 0.679688] [adversarial loss: 0.919888, acc: 0.390625] 17632: [discriminator loss: 0.549585, acc: 0.757812] [adversarial loss: 1.241996, acc: 0.218750] 17633: [discriminator loss: 0.548405, acc: 0.687500] [adversarial loss: 0.956659, acc: 0.343750] 17634: [discriminator loss: 0.600128, acc: 0.671875] [adversarial loss: 1.190180, acc: 0.203125] 17635: [discriminator loss: 0.568638, acc: 0.679688] [adversarial loss: 0.846259, acc: 0.468750] 17636: [discriminator loss: 0.552456, acc: 0.734375] [adversarial loss: 1.524309, acc: 0.109375] 17637: [discriminator loss: 0.568869, acc: 0.695312] [adversarial loss: 0.948459, acc: 0.375000] 17638: [discriminator loss: 0.517281, acc: 0.726562] [adversarial loss: 1.426208, acc: 0.156250] 17639: [discriminator loss: 0.561325, acc: 0.679688] [adversarial loss: 0.892709, acc: 0.390625] 17640: [discriminator loss: 0.581521, acc: 0.671875] [adversarial loss: 1.278740, acc: 0.234375] 17641: [discriminator loss: 0.585070, acc: 0.718750] [adversarial loss: 1.139308, acc: 0.281250] 17642: [discriminator loss: 0.547365, acc: 0.695312] [adversarial loss: 1.255841, acc: 0.203125] 17643: [discriminator loss: 0.509091, acc: 0.726562] [adversarial loss: 1.333486, acc: 0.171875] 17644: [discriminator loss: 0.551421, acc: 0.710938] [adversarial loss: 1.156089, acc: 0.281250] 17645: [discriminator loss: 0.512378, acc: 0.664062] [adversarial loss: 1.103750, acc: 0.328125] 17646: [discriminator loss: 0.552363, acc: 0.726562] [adversarial loss: 1.243475, acc: 0.203125] 17647: [discriminator loss: 0.536021, acc: 0.695312] [adversarial loss: 1.127201, acc: 0.265625] 17648: [discriminator loss: 0.520415, acc: 0.750000] [adversarial loss: 1.558078, acc: 0.109375] 17649: [discriminator loss: 0.582706, acc: 0.679688] [adversarial loss: 0.986694, acc: 0.437500] 17650: [discriminator loss: 0.644774, acc: 0.648438] [adversarial loss: 1.665834, acc: 0.078125] 17651: [discriminator loss: 0.612822, acc: 0.617188] [adversarial loss: 1.001642, acc: 0.312500] 17652: [discriminator loss: 0.565872, acc: 0.664062] [adversarial loss: 1.339882, acc: 0.093750] 17653: [discriminator loss: 0.526958, acc: 0.718750] [adversarial loss: 1.140625, acc: 0.250000] 17654: [discriminator loss: 0.541233, acc: 0.710938] [adversarial loss: 1.262653, acc: 0.187500] 17655: [discriminator loss: 0.583165, acc: 0.687500] [adversarial loss: 0.870544, acc: 0.390625] 17656: [discriminator loss: 0.517832, acc: 0.695312] [adversarial loss: 1.277699, acc: 0.250000] 17657: [discriminator loss: 0.534959, acc: 0.726562] [adversarial loss: 1.041680, acc: 0.328125] 17658: [discriminator loss: 0.497112, acc: 0.765625] [adversarial loss: 1.504027, acc: 0.109375] 17659: [discriminator loss: 0.566021, acc: 0.742188] [adversarial loss: 1.182874, acc: 0.203125] 17660: [discriminator loss: 0.545969, acc: 0.695312] [adversarial loss: 1.211237, acc: 0.296875] 17661: [discriminator loss: 0.598986, acc: 0.703125] [adversarial loss: 0.863590, acc: 0.437500] 17662: [discriminator loss: 0.562027, acc: 0.726562] [adversarial loss: 1.474838, acc: 0.078125] 17663: [discriminator loss: 0.606418, acc: 0.671875] [adversarial loss: 0.716660, acc: 0.609375] 17664: [discriminator loss: 0.532704, acc: 0.703125] [adversarial loss: 1.609411, acc: 0.125000] 17665: [discriminator loss: 0.571020, acc: 0.679688] [adversarial loss: 0.902569, acc: 0.359375] 17666: [discriminator loss: 0.632537, acc: 0.671875] [adversarial loss: 1.394606, acc: 0.156250] 17667: [discriminator loss: 0.608370, acc: 0.656250] [adversarial loss: 0.781481, acc: 0.468750] 17668: [discriminator loss: 0.569237, acc: 0.679688] [adversarial loss: 1.256262, acc: 0.234375] 17669: [discriminator loss: 0.618191, acc: 0.632812] [adversarial loss: 1.014255, acc: 0.406250] 17670: [discriminator loss: 0.546985, acc: 0.726562] [adversarial loss: 1.278955, acc: 0.234375] 17671: [discriminator loss: 0.570716, acc: 0.695312] [adversarial loss: 1.030450, acc: 0.375000] 17672: [discriminator loss: 0.526555, acc: 0.718750] [adversarial loss: 1.087096, acc: 0.281250] 17673: [discriminator loss: 0.566948, acc: 0.703125] [adversarial loss: 1.047434, acc: 0.281250] 17674: [discriminator loss: 0.571219, acc: 0.664062] [adversarial loss: 1.371022, acc: 0.187500] 17675: [discriminator loss: 0.581813, acc: 0.656250] [adversarial loss: 0.961678, acc: 0.437500] 17676: [discriminator loss: 0.518376, acc: 0.757812] [adversarial loss: 1.019713, acc: 0.328125] 17677: [discriminator loss: 0.555911, acc: 0.742188] [adversarial loss: 1.507814, acc: 0.093750] 17678: [discriminator loss: 0.585567, acc: 0.671875] [adversarial loss: 0.788209, acc: 0.468750] 17679: [discriminator loss: 0.599138, acc: 0.695312] [adversarial loss: 1.507653, acc: 0.125000] 17680: [discriminator loss: 0.577926, acc: 0.640625] [adversarial loss: 0.981651, acc: 0.375000] 17681: [discriminator loss: 0.598294, acc: 0.679688] [adversarial loss: 1.499859, acc: 0.125000] 17682: [discriminator loss: 0.527211, acc: 0.718750] [adversarial loss: 0.695981, acc: 0.531250] 17683: [discriminator loss: 0.620823, acc: 0.679688] [adversarial loss: 1.622507, acc: 0.093750] 17684: [discriminator loss: 0.561701, acc: 0.726562] [adversarial loss: 0.903789, acc: 0.390625] 17685: [discriminator loss: 0.585898, acc: 0.726562] [adversarial loss: 1.226150, acc: 0.250000] 17686: [discriminator loss: 0.531378, acc: 0.765625] [adversarial loss: 1.100764, acc: 0.281250] 17687: [discriminator loss: 0.527405, acc: 0.703125] [adversarial loss: 1.287344, acc: 0.203125] 17688: [discriminator loss: 0.550942, acc: 0.664062] [adversarial loss: 1.029075, acc: 0.390625] 17689: [discriminator loss: 0.546074, acc: 0.695312] [adversarial loss: 1.223361, acc: 0.296875] 17690: [discriminator loss: 0.563382, acc: 0.671875] [adversarial loss: 1.429907, acc: 0.140625] 17691: [discriminator loss: 0.606459, acc: 0.632812] [adversarial loss: 1.007918, acc: 0.343750] 17692: [discriminator loss: 0.559568, acc: 0.710938] [adversarial loss: 1.268446, acc: 0.156250] 17693: [discriminator loss: 0.528021, acc: 0.726562] [adversarial loss: 1.154766, acc: 0.281250] 17694: [discriminator loss: 0.551671, acc: 0.703125] [adversarial loss: 1.124530, acc: 0.312500] 17695: [discriminator loss: 0.505875, acc: 0.703125] [adversarial loss: 1.148920, acc: 0.250000] 17696: [discriminator loss: 0.550007, acc: 0.734375] [adversarial loss: 0.959846, acc: 0.359375] 17697: [discriminator loss: 0.594005, acc: 0.648438] [adversarial loss: 1.388411, acc: 0.046875] 17698: [discriminator loss: 0.563265, acc: 0.679688] [adversarial loss: 0.824695, acc: 0.437500] 17699: [discriminator loss: 0.580899, acc: 0.718750] [adversarial loss: 1.453158, acc: 0.125000] 17700: [discriminator loss: 0.495978, acc: 0.789062] [adversarial loss: 1.145311, acc: 0.312500] 17701: [discriminator loss: 0.555103, acc: 0.703125] [adversarial loss: 1.083635, acc: 0.265625] 17702: [discriminator loss: 0.525565, acc: 0.734375] [adversarial loss: 0.911051, acc: 0.390625] 17703: [discriminator loss: 0.563256, acc: 0.703125] [adversarial loss: 1.166817, acc: 0.218750] 17704: [discriminator loss: 0.544487, acc: 0.742188] [adversarial loss: 1.273779, acc: 0.218750] 17705: [discriminator loss: 0.514854, acc: 0.734375] [adversarial loss: 0.928206, acc: 0.390625] 17706: [discriminator loss: 0.573565, acc: 0.687500] [adversarial loss: 1.536801, acc: 0.156250] 17707: [discriminator loss: 0.598793, acc: 0.632812] [adversarial loss: 0.627791, acc: 0.671875] 17708: [discriminator loss: 0.536068, acc: 0.718750] [adversarial loss: 1.419875, acc: 0.203125] 17709: [discriminator loss: 0.549970, acc: 0.687500] [adversarial loss: 0.798976, acc: 0.531250] 17710: [discriminator loss: 0.603573, acc: 0.632812] [adversarial loss: 1.194075, acc: 0.250000] 17711: [discriminator loss: 0.602040, acc: 0.710938] [adversarial loss: 1.133972, acc: 0.296875] 17712: [discriminator loss: 0.625283, acc: 0.632812] [adversarial loss: 1.201658, acc: 0.171875] 17713: [discriminator loss: 0.504696, acc: 0.742188] [adversarial loss: 1.180381, acc: 0.250000] 17714: [discriminator loss: 0.563452, acc: 0.632812] [adversarial loss: 1.436805, acc: 0.109375] 17715: [discriminator loss: 0.504650, acc: 0.703125] [adversarial loss: 0.947445, acc: 0.343750] 17716: [discriminator loss: 0.543645, acc: 0.695312] [adversarial loss: 1.334223, acc: 0.203125] 17717: [discriminator loss: 0.599614, acc: 0.695312] [adversarial loss: 0.941986, acc: 0.343750] 17718: [discriminator loss: 0.577634, acc: 0.664062] [adversarial loss: 1.471956, acc: 0.109375] 17719: [discriminator loss: 0.596190, acc: 0.679688] [adversarial loss: 1.062661, acc: 0.250000] 17720: [discriminator loss: 0.494020, acc: 0.789062] [adversarial loss: 1.121716, acc: 0.265625] 17721: [discriminator loss: 0.534397, acc: 0.742188] [adversarial loss: 1.312171, acc: 0.140625] 17722: [discriminator loss: 0.514195, acc: 0.742188] [adversarial loss: 1.124201, acc: 0.296875] 17723: [discriminator loss: 0.514499, acc: 0.773438] [adversarial loss: 1.523963, acc: 0.171875] 17724: [discriminator loss: 0.519601, acc: 0.703125] [adversarial loss: 0.842477, acc: 0.468750] 17725: [discriminator loss: 0.533038, acc: 0.718750] [adversarial loss: 1.252963, acc: 0.187500] 17726: [discriminator loss: 0.491242, acc: 0.750000] [adversarial loss: 0.939043, acc: 0.390625] 17727: [discriminator loss: 0.563130, acc: 0.734375] [adversarial loss: 1.349836, acc: 0.187500] 17728: [discriminator loss: 0.525117, acc: 0.765625] [adversarial loss: 1.318729, acc: 0.187500] 17729: [discriminator loss: 0.473378, acc: 0.781250] [adversarial loss: 0.908101, acc: 0.406250] 17730: [discriminator loss: 0.554300, acc: 0.734375] [adversarial loss: 1.374179, acc: 0.203125] 17731: [discriminator loss: 0.540288, acc: 0.726562] [adversarial loss: 0.955022, acc: 0.281250] 17732: [discriminator loss: 0.510571, acc: 0.757812] [adversarial loss: 1.337446, acc: 0.234375] 17733: [discriminator loss: 0.552994, acc: 0.687500] [adversarial loss: 1.383480, acc: 0.203125] 17734: [discriminator loss: 0.579537, acc: 0.695312] [adversarial loss: 0.860920, acc: 0.406250] 17735: [discriminator loss: 0.597515, acc: 0.671875] [adversarial loss: 1.340632, acc: 0.187500] 17736: [discriminator loss: 0.530750, acc: 0.671875] [adversarial loss: 1.056012, acc: 0.328125] 17737: [discriminator loss: 0.497171, acc: 0.781250] [adversarial loss: 1.131034, acc: 0.250000] 17738: [discriminator loss: 0.562402, acc: 0.671875] [adversarial loss: 1.371125, acc: 0.187500] 17739: [discriminator loss: 0.563706, acc: 0.718750] [adversarial loss: 0.570948, acc: 0.703125] 17740: [discriminator loss: 0.600631, acc: 0.640625] [adversarial loss: 1.696018, acc: 0.109375] 17741: [discriminator loss: 0.655449, acc: 0.640625] [adversarial loss: 0.775884, acc: 0.531250] 17742: [discriminator loss: 0.555038, acc: 0.781250] [adversarial loss: 1.373234, acc: 0.171875] 17743: [discriminator loss: 0.594905, acc: 0.648438] [adversarial loss: 0.852602, acc: 0.453125] 17744: [discriminator loss: 0.521397, acc: 0.703125] [adversarial loss: 1.167145, acc: 0.281250] 17745: [discriminator loss: 0.511199, acc: 0.750000] [adversarial loss: 1.208222, acc: 0.234375] 17746: [discriminator loss: 0.559184, acc: 0.695312] [adversarial loss: 0.980800, acc: 0.375000] 17747: [discriminator loss: 0.556639, acc: 0.703125] [adversarial loss: 1.201151, acc: 0.234375] 17748: [discriminator loss: 0.500297, acc: 0.750000] [adversarial loss: 1.548679, acc: 0.171875] 17749: [discriminator loss: 0.610354, acc: 0.656250] [adversarial loss: 1.017664, acc: 0.312500] 17750: [discriminator loss: 0.556269, acc: 0.687500] [adversarial loss: 1.390821, acc: 0.125000] 17751: [discriminator loss: 0.630732, acc: 0.632812] [adversarial loss: 1.048513, acc: 0.343750] 17752: [discriminator loss: 0.551236, acc: 0.671875] [adversarial loss: 1.487671, acc: 0.156250] 17753: [discriminator loss: 0.614839, acc: 0.671875] [adversarial loss: 0.949911, acc: 0.390625] 17754: [discriminator loss: 0.654365, acc: 0.609375] [adversarial loss: 1.297622, acc: 0.171875] 17755: [discriminator loss: 0.585308, acc: 0.710938] [adversarial loss: 1.232795, acc: 0.250000] 17756: [discriminator loss: 0.644225, acc: 0.617188] [adversarial loss: 1.520272, acc: 0.109375] 17757: [discriminator loss: 0.593512, acc: 0.679688] [adversarial loss: 0.817602, acc: 0.453125] 17758: [discriminator loss: 0.625014, acc: 0.656250] [adversarial loss: 1.271147, acc: 0.218750] 17759: [discriminator loss: 0.595639, acc: 0.656250] [adversarial loss: 0.772914, acc: 0.484375] 17760: [discriminator loss: 0.558244, acc: 0.726562] [adversarial loss: 1.692884, acc: 0.093750] 17761: [discriminator loss: 0.636814, acc: 0.640625] [adversarial loss: 0.937062, acc: 0.453125] 17762: [discriminator loss: 0.542098, acc: 0.710938] [adversarial loss: 1.294183, acc: 0.171875] 17763: [discriminator loss: 0.582884, acc: 0.679688] [adversarial loss: 0.815809, acc: 0.406250] 17764: [discriminator loss: 0.520247, acc: 0.757812] [adversarial loss: 1.367264, acc: 0.171875] 17765: [discriminator loss: 0.572533, acc: 0.695312] [adversarial loss: 0.933571, acc: 0.437500] 17766: [discriminator loss: 0.550272, acc: 0.687500] [adversarial loss: 1.200685, acc: 0.281250] 17767: [discriminator loss: 0.466893, acc: 0.765625] [adversarial loss: 1.017943, acc: 0.343750] 17768: [discriminator loss: 0.504637, acc: 0.765625] [adversarial loss: 1.187766, acc: 0.281250] 17769: [discriminator loss: 0.541425, acc: 0.718750] [adversarial loss: 1.060597, acc: 0.296875] 17770: [discriminator loss: 0.564416, acc: 0.703125] [adversarial loss: 1.091617, acc: 0.265625] 17771: [discriminator loss: 0.567510, acc: 0.687500] [adversarial loss: 0.985443, acc: 0.375000] 17772: [discriminator loss: 0.495066, acc: 0.734375] [adversarial loss: 1.186344, acc: 0.187500] 17773: [discriminator loss: 0.466872, acc: 0.757812] [adversarial loss: 1.334835, acc: 0.218750] 17774: [discriminator loss: 0.543923, acc: 0.734375] [adversarial loss: 1.023583, acc: 0.343750] 17775: [discriminator loss: 0.520724, acc: 0.734375] [adversarial loss: 1.167455, acc: 0.156250] 17776: [discriminator loss: 0.515164, acc: 0.734375] [adversarial loss: 1.150657, acc: 0.250000] 17777: [discriminator loss: 0.514809, acc: 0.734375] [adversarial loss: 1.466199, acc: 0.203125] 17778: [discriminator loss: 0.579150, acc: 0.703125] [adversarial loss: 0.901930, acc: 0.406250] 17779: [discriminator loss: 0.562313, acc: 0.734375] [adversarial loss: 1.340305, acc: 0.156250] 17780: [discriminator loss: 0.576582, acc: 0.656250] [adversarial loss: 1.208808, acc: 0.234375] 17781: [discriminator loss: 0.545106, acc: 0.742188] [adversarial loss: 0.931575, acc: 0.390625] 17782: [discriminator loss: 0.524557, acc: 0.718750] [adversarial loss: 1.299073, acc: 0.203125] 17783: [discriminator loss: 0.544885, acc: 0.710938] [adversarial loss: 0.767261, acc: 0.484375] 17784: [discriminator loss: 0.511233, acc: 0.773438] [adversarial loss: 1.509466, acc: 0.203125] 17785: [discriminator loss: 0.546090, acc: 0.718750] [adversarial loss: 1.047016, acc: 0.343750] 17786: [discriminator loss: 0.515095, acc: 0.757812] [adversarial loss: 1.384152, acc: 0.093750] 17787: [discriminator loss: 0.660701, acc: 0.601562] [adversarial loss: 0.691857, acc: 0.546875] 17788: [discriminator loss: 0.638883, acc: 0.671875] [adversarial loss: 1.827228, acc: 0.046875] 17789: [discriminator loss: 0.623709, acc: 0.648438] [adversarial loss: 0.674907, acc: 0.593750] 17790: [discriminator loss: 0.587295, acc: 0.687500] [adversarial loss: 1.486240, acc: 0.125000] 17791: [discriminator loss: 0.614357, acc: 0.656250] [adversarial loss: 0.897574, acc: 0.390625] 17792: [discriminator loss: 0.631529, acc: 0.656250] [adversarial loss: 1.392522, acc: 0.109375] 17793: [discriminator loss: 0.555764, acc: 0.671875] [adversarial loss: 0.977056, acc: 0.343750] 17794: [discriminator loss: 0.573819, acc: 0.695312] [adversarial loss: 1.351222, acc: 0.218750] 17795: [discriminator loss: 0.572930, acc: 0.703125] [adversarial loss: 0.859628, acc: 0.421875] 17796: [discriminator loss: 0.545704, acc: 0.781250] [adversarial loss: 1.256493, acc: 0.203125] 17797: [discriminator loss: 0.533084, acc: 0.742188] [adversarial loss: 1.091289, acc: 0.359375] 17798: [discriminator loss: 0.534956, acc: 0.742188] [adversarial loss: 1.289486, acc: 0.171875] 17799: [discriminator loss: 0.574056, acc: 0.687500] [adversarial loss: 1.131248, acc: 0.296875] 17800: [discriminator loss: 0.564456, acc: 0.632812] [adversarial loss: 1.320584, acc: 0.250000] 17801: [discriminator loss: 0.539392, acc: 0.671875] [adversarial loss: 1.508336, acc: 0.234375] 17802: [discriminator loss: 0.534998, acc: 0.718750] [adversarial loss: 0.936748, acc: 0.437500] 17803: [discriminator loss: 0.619959, acc: 0.726562] [adversarial loss: 1.312796, acc: 0.171875] 17804: [discriminator loss: 0.560576, acc: 0.703125] [adversarial loss: 1.008191, acc: 0.312500] 17805: [discriminator loss: 0.515736, acc: 0.750000] [adversarial loss: 1.303630, acc: 0.234375] 17806: [discriminator loss: 0.571533, acc: 0.632812] [adversarial loss: 0.988829, acc: 0.359375] 17807: [discriminator loss: 0.516698, acc: 0.718750] [adversarial loss: 1.190032, acc: 0.234375] 17808: [discriminator loss: 0.566383, acc: 0.765625] [adversarial loss: 1.273703, acc: 0.187500] 17809: [discriminator loss: 0.565157, acc: 0.656250] [adversarial loss: 0.925748, acc: 0.406250] 17810: [discriminator loss: 0.562863, acc: 0.664062] [adversarial loss: 1.391733, acc: 0.125000] 17811: [discriminator loss: 0.566205, acc: 0.710938] [adversarial loss: 1.086011, acc: 0.296875] 17812: [discriminator loss: 0.521817, acc: 0.750000] [adversarial loss: 1.353852, acc: 0.156250] 17813: [discriminator loss: 0.553697, acc: 0.671875] [adversarial loss: 1.022592, acc: 0.359375] 17814: [discriminator loss: 0.550220, acc: 0.664062] [adversarial loss: 1.883443, acc: 0.062500] 17815: [discriminator loss: 0.604604, acc: 0.703125] [adversarial loss: 0.790252, acc: 0.500000] 17816: [discriminator loss: 0.614483, acc: 0.687500] [adversarial loss: 1.254980, acc: 0.171875] 17817: [discriminator loss: 0.601309, acc: 0.671875] [adversarial loss: 1.080831, acc: 0.234375] 17818: [discriminator loss: 0.548589, acc: 0.687500] [adversarial loss: 1.572661, acc: 0.109375] 17819: [discriminator loss: 0.523171, acc: 0.695312] [adversarial loss: 0.783171, acc: 0.500000] 17820: [discriminator loss: 0.601645, acc: 0.664062] [adversarial loss: 1.371189, acc: 0.281250] 17821: [discriminator loss: 0.624930, acc: 0.671875] [adversarial loss: 0.975545, acc: 0.437500] 17822: [discriminator loss: 0.538959, acc: 0.687500] [adversarial loss: 1.369417, acc: 0.140625] 17823: [discriminator loss: 0.570657, acc: 0.695312] [adversarial loss: 1.024334, acc: 0.328125] 17824: [discriminator loss: 0.568688, acc: 0.750000] [adversarial loss: 1.336663, acc: 0.171875] 17825: [discriminator loss: 0.621004, acc: 0.625000] [adversarial loss: 0.952409, acc: 0.390625] 17826: [discriminator loss: 0.543277, acc: 0.679688] [adversarial loss: 1.162056, acc: 0.234375] 17827: [discriminator loss: 0.537571, acc: 0.718750] [adversarial loss: 1.037090, acc: 0.281250] 17828: [discriminator loss: 0.589367, acc: 0.679688] [adversarial loss: 1.294732, acc: 0.203125] 17829: [discriminator loss: 0.568163, acc: 0.687500] [adversarial loss: 1.102790, acc: 0.281250] 17830: [discriminator loss: 0.593630, acc: 0.687500] [adversarial loss: 1.179098, acc: 0.203125] 17831: [discriminator loss: 0.513335, acc: 0.742188] [adversarial loss: 0.909291, acc: 0.406250] 17832: [discriminator loss: 0.579506, acc: 0.703125] [adversarial loss: 1.305589, acc: 0.171875] 17833: [discriminator loss: 0.557032, acc: 0.695312] [adversarial loss: 0.980116, acc: 0.281250] 17834: [discriminator loss: 0.573367, acc: 0.664062] [adversarial loss: 1.313097, acc: 0.218750] 17835: [discriminator loss: 0.522757, acc: 0.765625] [adversarial loss: 0.857415, acc: 0.421875] 17836: [discriminator loss: 0.601757, acc: 0.648438] [adversarial loss: 1.275188, acc: 0.234375] 17837: [discriminator loss: 0.671630, acc: 0.617188] [adversarial loss: 1.057013, acc: 0.281250] 17838: [discriminator loss: 0.529080, acc: 0.781250] [adversarial loss: 1.658524, acc: 0.078125] 17839: [discriminator loss: 0.507556, acc: 0.726562] [adversarial loss: 0.794306, acc: 0.546875] 17840: [discriminator loss: 0.534322, acc: 0.718750] [adversarial loss: 1.380880, acc: 0.109375] 17841: [discriminator loss: 0.590577, acc: 0.648438] [adversarial loss: 1.098564, acc: 0.281250] 17842: [discriminator loss: 0.598669, acc: 0.726562] [adversarial loss: 1.518862, acc: 0.093750] 17843: [discriminator loss: 0.485618, acc: 0.765625] [adversarial loss: 1.028811, acc: 0.453125] 17844: [discriminator loss: 0.529257, acc: 0.734375] [adversarial loss: 1.389224, acc: 0.171875] 17845: [discriminator loss: 0.482596, acc: 0.789062] [adversarial loss: 0.945689, acc: 0.437500] 17846: [discriminator loss: 0.523612, acc: 0.765625] [adversarial loss: 1.576799, acc: 0.140625] 17847: [discriminator loss: 0.614830, acc: 0.648438] [adversarial loss: 1.136021, acc: 0.234375] 17848: [discriminator loss: 0.554384, acc: 0.679688] [adversarial loss: 1.197271, acc: 0.250000] 17849: [discriminator loss: 0.508572, acc: 0.742188] [adversarial loss: 1.152400, acc: 0.218750] 17850: [discriminator loss: 0.473024, acc: 0.781250] [adversarial loss: 1.077137, acc: 0.312500] 17851: [discriminator loss: 0.564184, acc: 0.687500] [adversarial loss: 1.310214, acc: 0.234375] 17852: [discriminator loss: 0.577324, acc: 0.648438] [adversarial loss: 0.943352, acc: 0.359375] 17853: [discriminator loss: 0.534296, acc: 0.726562] [adversarial loss: 1.188692, acc: 0.234375] 17854: [discriminator loss: 0.596670, acc: 0.671875] [adversarial loss: 0.996176, acc: 0.390625] 17855: [discriminator loss: 0.603197, acc: 0.695312] [adversarial loss: 1.501660, acc: 0.078125] 17856: [discriminator loss: 0.561630, acc: 0.703125] [adversarial loss: 0.723379, acc: 0.593750] 17857: [discriminator loss: 0.572028, acc: 0.664062] [adversarial loss: 1.432919, acc: 0.093750] 17858: [discriminator loss: 0.639102, acc: 0.632812] [adversarial loss: 0.874941, acc: 0.421875] 17859: [discriminator loss: 0.576406, acc: 0.679688] [adversarial loss: 1.446611, acc: 0.171875] 17860: [discriminator loss: 0.567829, acc: 0.710938] [adversarial loss: 0.969775, acc: 0.343750] 17861: [discriminator loss: 0.616265, acc: 0.703125] [adversarial loss: 1.567422, acc: 0.062500] 17862: [discriminator loss: 0.548523, acc: 0.664062] [adversarial loss: 1.092983, acc: 0.250000] 17863: [discriminator loss: 0.628609, acc: 0.640625] [adversarial loss: 1.434884, acc: 0.093750] 17864: [discriminator loss: 0.522552, acc: 0.656250] [adversarial loss: 0.834718, acc: 0.421875] 17865: [discriminator loss: 0.550452, acc: 0.726562] [adversarial loss: 1.283619, acc: 0.250000] 17866: [discriminator loss: 0.620344, acc: 0.648438] [adversarial loss: 0.852600, acc: 0.468750] 17867: [discriminator loss: 0.565430, acc: 0.734375] [adversarial loss: 1.542814, acc: 0.078125] 17868: [discriminator loss: 0.619069, acc: 0.656250] [adversarial loss: 0.866687, acc: 0.484375] 17869: [discriminator loss: 0.595987, acc: 0.718750] [adversarial loss: 1.161068, acc: 0.218750] 17870: [discriminator loss: 0.548660, acc: 0.695312] [adversarial loss: 1.102208, acc: 0.312500] 17871: [discriminator loss: 0.502663, acc: 0.781250] [adversarial loss: 1.459322, acc: 0.078125] 17872: [discriminator loss: 0.537252, acc: 0.718750] [adversarial loss: 1.010482, acc: 0.343750] 17873: [discriminator loss: 0.578436, acc: 0.695312] [adversarial loss: 1.277180, acc: 0.171875] 17874: [discriminator loss: 0.560017, acc: 0.703125] [adversarial loss: 1.014726, acc: 0.359375] 17875: [discriminator loss: 0.501924, acc: 0.757812] [adversarial loss: 1.071340, acc: 0.296875] 17876: [discriminator loss: 0.531354, acc: 0.750000] [adversarial loss: 1.027527, acc: 0.281250] 17877: [discriminator loss: 0.632295, acc: 0.632812] [adversarial loss: 1.619225, acc: 0.062500] 17878: [discriminator loss: 0.603537, acc: 0.664062] [adversarial loss: 0.725334, acc: 0.578125] 17879: [discriminator loss: 0.597585, acc: 0.703125] [adversarial loss: 1.566655, acc: 0.046875] 17880: [discriminator loss: 0.596446, acc: 0.625000] [adversarial loss: 0.806570, acc: 0.453125] 17881: [discriminator loss: 0.569659, acc: 0.703125] [adversarial loss: 1.147250, acc: 0.343750] 17882: [discriminator loss: 0.529581, acc: 0.710938] [adversarial loss: 1.012997, acc: 0.390625] 17883: [discriminator loss: 0.541560, acc: 0.687500] [adversarial loss: 1.480759, acc: 0.093750] 17884: [discriminator loss: 0.524754, acc: 0.710938] [adversarial loss: 0.991859, acc: 0.343750] 17885: [discriminator loss: 0.585070, acc: 0.703125] [adversarial loss: 1.352080, acc: 0.250000] 17886: [discriminator loss: 0.596347, acc: 0.687500] [adversarial loss: 1.253896, acc: 0.203125] 17887: [discriminator loss: 0.530856, acc: 0.726562] [adversarial loss: 1.132870, acc: 0.265625] 17888: [discriminator loss: 0.566833, acc: 0.687500] [adversarial loss: 1.129370, acc: 0.171875] 17889: [discriminator loss: 0.556034, acc: 0.718750] [adversarial loss: 1.127216, acc: 0.265625] 17890: [discriminator loss: 0.487941, acc: 0.757812] [adversarial loss: 1.149635, acc: 0.265625] 17891: [discriminator loss: 0.515153, acc: 0.742188] [adversarial loss: 1.058808, acc: 0.250000] 17892: [discriminator loss: 0.552239, acc: 0.695312] [adversarial loss: 1.448168, acc: 0.125000] 17893: [discriminator loss: 0.555671, acc: 0.664062] [adversarial loss: 0.827473, acc: 0.468750] 17894: [discriminator loss: 0.585570, acc: 0.679688] [adversarial loss: 1.452831, acc: 0.078125] 17895: [discriminator loss: 0.571802, acc: 0.664062] [adversarial loss: 0.896797, acc: 0.437500] 17896: [discriminator loss: 0.612448, acc: 0.632812] [adversarial loss: 1.312072, acc: 0.171875] 17897: [discriminator loss: 0.606835, acc: 0.609375] [adversarial loss: 1.031051, acc: 0.265625] 17898: [discriminator loss: 0.529755, acc: 0.765625] [adversarial loss: 1.023996, acc: 0.375000] 17899: [discriminator loss: 0.596138, acc: 0.703125] [adversarial loss: 1.005874, acc: 0.328125] 17900: [discriminator loss: 0.562459, acc: 0.695312] [adversarial loss: 1.392144, acc: 0.109375] 17901: [discriminator loss: 0.569560, acc: 0.695312] [adversarial loss: 1.058388, acc: 0.328125] 17902: [discriminator loss: 0.540061, acc: 0.703125] [adversarial loss: 1.085357, acc: 0.359375] 17903: [discriminator loss: 0.482679, acc: 0.804688] [adversarial loss: 1.105936, acc: 0.359375] 17904: [discriminator loss: 0.555945, acc: 0.710938] [adversarial loss: 1.129402, acc: 0.265625] 17905: [discriminator loss: 0.533672, acc: 0.750000] [adversarial loss: 1.234981, acc: 0.218750] 17906: [discriminator loss: 0.541399, acc: 0.671875] [adversarial loss: 0.949785, acc: 0.390625] 17907: [discriminator loss: 0.586746, acc: 0.695312] [adversarial loss: 1.450226, acc: 0.156250] 17908: [discriminator loss: 0.524373, acc: 0.750000] [adversarial loss: 1.057335, acc: 0.359375] 17909: [discriminator loss: 0.594411, acc: 0.648438] [adversarial loss: 1.040693, acc: 0.359375] 17910: [discriminator loss: 0.577623, acc: 0.656250] [adversarial loss: 1.290297, acc: 0.218750] 17911: [discriminator loss: 0.558493, acc: 0.648438] [adversarial loss: 0.853332, acc: 0.484375] 17912: [discriminator loss: 0.459775, acc: 0.781250] [adversarial loss: 1.487487, acc: 0.125000] 17913: [discriminator loss: 0.585947, acc: 0.648438] [adversarial loss: 0.858005, acc: 0.484375] 17914: [discriminator loss: 0.589205, acc: 0.687500] [adversarial loss: 1.500602, acc: 0.125000] 17915: [discriminator loss: 0.577504, acc: 0.718750] [adversarial loss: 1.153632, acc: 0.296875] 17916: [discriminator loss: 0.592670, acc: 0.695312] [adversarial loss: 0.899924, acc: 0.390625] 17917: [discriminator loss: 0.510878, acc: 0.726562] [adversarial loss: 1.296223, acc: 0.203125] 17918: [discriminator loss: 0.558875, acc: 0.710938] [adversarial loss: 1.216065, acc: 0.171875] 17919: [discriminator loss: 0.547604, acc: 0.695312] [adversarial loss: 1.244633, acc: 0.171875] 17920: [discriminator loss: 0.539729, acc: 0.679688] [adversarial loss: 1.057680, acc: 0.312500] 17921: [discriminator loss: 0.535591, acc: 0.726562] [adversarial loss: 1.275731, acc: 0.187500] 17922: [discriminator loss: 0.531786, acc: 0.679688] [adversarial loss: 0.803492, acc: 0.578125] 17923: [discriminator loss: 0.533677, acc: 0.742188] [adversarial loss: 1.537061, acc: 0.109375] 17924: [discriminator loss: 0.600592, acc: 0.679688] [adversarial loss: 0.700379, acc: 0.609375] 17925: [discriminator loss: 0.596374, acc: 0.671875] [adversarial loss: 1.613034, acc: 0.093750] 17926: [discriminator loss: 0.624025, acc: 0.687500] [adversarial loss: 0.959300, acc: 0.390625] 17927: [discriminator loss: 0.617381, acc: 0.632812] [adversarial loss: 1.435211, acc: 0.171875] 17928: [discriminator loss: 0.521276, acc: 0.710938] [adversarial loss: 1.014631, acc: 0.343750] 17929: [discriminator loss: 0.515480, acc: 0.765625] [adversarial loss: 1.399017, acc: 0.281250] 17930: [discriminator loss: 0.609011, acc: 0.703125] [adversarial loss: 1.035444, acc: 0.375000] 17931: [discriminator loss: 0.512535, acc: 0.726562] [adversarial loss: 1.278244, acc: 0.171875] 17932: [discriminator loss: 0.577442, acc: 0.671875] [adversarial loss: 1.120214, acc: 0.281250] 17933: [discriminator loss: 0.521392, acc: 0.742188] [adversarial loss: 1.063256, acc: 0.328125] 17934: [discriminator loss: 0.595524, acc: 0.710938] [adversarial loss: 1.300619, acc: 0.187500] 17935: [discriminator loss: 0.602567, acc: 0.656250] [adversarial loss: 0.876335, acc: 0.453125] 17936: [discriminator loss: 0.534245, acc: 0.781250] [adversarial loss: 1.558851, acc: 0.078125] 17937: [discriminator loss: 0.623679, acc: 0.625000] [adversarial loss: 0.809827, acc: 0.484375] 17938: [discriminator loss: 0.640977, acc: 0.625000] [adversarial loss: 1.225852, acc: 0.218750] 17939: [discriminator loss: 0.580576, acc: 0.687500] [adversarial loss: 0.873755, acc: 0.484375] 17940: [discriminator loss: 0.560198, acc: 0.726562] [adversarial loss: 1.310545, acc: 0.187500] 17941: [discriminator loss: 0.569898, acc: 0.671875] [adversarial loss: 1.030023, acc: 0.296875] 17942: [discriminator loss: 0.544136, acc: 0.726562] [adversarial loss: 1.542029, acc: 0.046875] 17943: [discriminator loss: 0.554568, acc: 0.671875] [adversarial loss: 1.062398, acc: 0.343750] 17944: [discriminator loss: 0.559776, acc: 0.734375] [adversarial loss: 1.222532, acc: 0.171875] 17945: [discriminator loss: 0.643361, acc: 0.664062] [adversarial loss: 1.021816, acc: 0.328125] 17946: [discriminator loss: 0.544639, acc: 0.718750] [adversarial loss: 1.048242, acc: 0.343750] 17947: [discriminator loss: 0.525766, acc: 0.726562] [adversarial loss: 1.002659, acc: 0.343750] 17948: [discriminator loss: 0.471210, acc: 0.789062] [adversarial loss: 1.104120, acc: 0.296875] 17949: [discriminator loss: 0.550201, acc: 0.679688] [adversarial loss: 0.954974, acc: 0.375000] 17950: [discriminator loss: 0.548797, acc: 0.671875] [adversarial loss: 1.597377, acc: 0.125000] 17951: [discriminator loss: 0.528761, acc: 0.750000] [adversarial loss: 1.303381, acc: 0.265625] 17952: [discriminator loss: 0.545379, acc: 0.726562] [adversarial loss: 1.345398, acc: 0.187500] 17953: [discriminator loss: 0.500917, acc: 0.765625] [adversarial loss: 1.010705, acc: 0.359375] 17954: [discriminator loss: 0.556460, acc: 0.671875] [adversarial loss: 1.320164, acc: 0.187500] 17955: [discriminator loss: 0.534299, acc: 0.687500] [adversarial loss: 0.965293, acc: 0.359375] 17956: [discriminator loss: 0.571395, acc: 0.687500] [adversarial loss: 1.451334, acc: 0.234375] 17957: [discriminator loss: 0.628219, acc: 0.656250] [adversarial loss: 0.771656, acc: 0.562500] 17958: [discriminator loss: 0.612055, acc: 0.679688] [adversarial loss: 1.629278, acc: 0.093750] 17959: [discriminator loss: 0.637575, acc: 0.640625] [adversarial loss: 0.810207, acc: 0.468750] 17960: [discriminator loss: 0.494090, acc: 0.789062] [adversarial loss: 1.359042, acc: 0.187500] 17961: [discriminator loss: 0.581062, acc: 0.687500] [adversarial loss: 1.165336, acc: 0.265625] 17962: [discriminator loss: 0.548975, acc: 0.742188] [adversarial loss: 1.067819, acc: 0.250000] 17963: [discriminator loss: 0.522897, acc: 0.742188] [adversarial loss: 1.029334, acc: 0.375000] 17964: [discriminator loss: 0.547505, acc: 0.687500] [adversarial loss: 1.635982, acc: 0.062500] 17965: [discriminator loss: 0.503573, acc: 0.750000] [adversarial loss: 0.894011, acc: 0.421875] 17966: [discriminator loss: 0.578626, acc: 0.687500] [adversarial loss: 1.343259, acc: 0.234375] 17967: [discriminator loss: 0.542658, acc: 0.734375] [adversarial loss: 0.929823, acc: 0.375000] 17968: [discriminator loss: 0.511537, acc: 0.796875] [adversarial loss: 1.449692, acc: 0.109375] 17969: [discriminator loss: 0.504213, acc: 0.750000] [adversarial loss: 1.018662, acc: 0.343750] 17970: [discriminator loss: 0.505426, acc: 0.734375] [adversarial loss: 1.374933, acc: 0.140625] 17971: [discriminator loss: 0.583333, acc: 0.656250] [adversarial loss: 0.890132, acc: 0.437500] 17972: [discriminator loss: 0.550260, acc: 0.710938] [adversarial loss: 1.385248, acc: 0.125000] 17973: [discriminator loss: 0.457447, acc: 0.812500] [adversarial loss: 1.178959, acc: 0.265625] 17974: [discriminator loss: 0.500464, acc: 0.742188] [adversarial loss: 1.255474, acc: 0.281250] 17975: [discriminator loss: 0.549772, acc: 0.765625] [adversarial loss: 1.346366, acc: 0.171875] 17976: [discriminator loss: 0.584788, acc: 0.695312] [adversarial loss: 1.015306, acc: 0.468750] 17977: [discriminator loss: 0.533636, acc: 0.726562] [adversarial loss: 1.637878, acc: 0.156250] 17978: [discriminator loss: 0.670444, acc: 0.648438] [adversarial loss: 0.802890, acc: 0.593750] 17979: [discriminator loss: 0.642937, acc: 0.695312] [adversarial loss: 1.474041, acc: 0.156250] 17980: [discriminator loss: 0.553348, acc: 0.726562] [adversarial loss: 1.057759, acc: 0.281250] 17981: [discriminator loss: 0.526282, acc: 0.742188] [adversarial loss: 1.180151, acc: 0.218750] 17982: [discriminator loss: 0.549492, acc: 0.687500] [adversarial loss: 1.049193, acc: 0.406250] 17983: [discriminator loss: 0.569017, acc: 0.734375] [adversarial loss: 1.165054, acc: 0.312500] 17984: [discriminator loss: 0.500489, acc: 0.765625] [adversarial loss: 1.421041, acc: 0.156250] 17985: [discriminator loss: 0.546516, acc: 0.765625] [adversarial loss: 1.269364, acc: 0.187500] 17986: [discriminator loss: 0.538921, acc: 0.718750] [adversarial loss: 1.327684, acc: 0.187500] 17987: [discriminator loss: 0.497735, acc: 0.726562] [adversarial loss: 0.772056, acc: 0.484375] 17988: [discriminator loss: 0.570226, acc: 0.671875] [adversarial loss: 1.557010, acc: 0.140625] 17989: [discriminator loss: 0.593035, acc: 0.648438] [adversarial loss: 1.051207, acc: 0.328125] 17990: [discriminator loss: 0.601161, acc: 0.648438] [adversarial loss: 1.318118, acc: 0.250000] 17991: [discriminator loss: 0.541321, acc: 0.679688] [adversarial loss: 0.962940, acc: 0.328125] 17992: [discriminator loss: 0.580665, acc: 0.703125] [adversarial loss: 1.491329, acc: 0.093750] 17993: [discriminator loss: 0.557915, acc: 0.687500] [adversarial loss: 0.863797, acc: 0.421875] 17994: [discriminator loss: 0.518474, acc: 0.734375] [adversarial loss: 1.016680, acc: 0.359375] 17995: [discriminator loss: 0.547928, acc: 0.695312] [adversarial loss: 1.203085, acc: 0.296875] 17996: [discriminator loss: 0.548957, acc: 0.734375] [adversarial loss: 1.136075, acc: 0.296875] 17997: [discriminator loss: 0.547425, acc: 0.718750] [adversarial loss: 1.451283, acc: 0.093750] 17998: [discriminator loss: 0.574756, acc: 0.664062] [adversarial loss: 0.806275, acc: 0.515625] 17999: [discriminator loss: 0.633864, acc: 0.656250] [adversarial loss: 1.803850, acc: 0.046875] 18000: [discriminator loss: 0.560752, acc: 0.710938] [adversarial loss: 0.896071, acc: 0.421875] 18001: [discriminator loss: 0.536337, acc: 0.734375] [adversarial loss: 1.341402, acc: 0.312500] 18002: [discriminator loss: 0.536150, acc: 0.695312] [adversarial loss: 1.231418, acc: 0.218750] 18003: [discriminator loss: 0.549704, acc: 0.718750] [adversarial loss: 1.177938, acc: 0.250000] 18004: [discriminator loss: 0.520720, acc: 0.726562] [adversarial loss: 1.318438, acc: 0.250000] 18005: [discriminator loss: 0.513323, acc: 0.718750] [adversarial loss: 1.105966, acc: 0.343750] 18006: [discriminator loss: 0.545524, acc: 0.734375] [adversarial loss: 0.983635, acc: 0.328125] 18007: [discriminator loss: 0.601269, acc: 0.687500] [adversarial loss: 1.352273, acc: 0.125000] 18008: [discriminator loss: 0.535024, acc: 0.757812] [adversarial loss: 0.943877, acc: 0.343750] 18009: [discriminator loss: 0.607329, acc: 0.640625] [adversarial loss: 1.563801, acc: 0.046875] 18010: [discriminator loss: 0.529223, acc: 0.687500] [adversarial loss: 0.934147, acc: 0.390625] 18011: [discriminator loss: 0.595013, acc: 0.695312] [adversarial loss: 1.435470, acc: 0.140625] 18012: [discriminator loss: 0.527685, acc: 0.726562] [adversarial loss: 0.938604, acc: 0.437500] 18013: [discriminator loss: 0.546537, acc: 0.703125] [adversarial loss: 1.281412, acc: 0.281250] 18014: [discriminator loss: 0.531355, acc: 0.718750] [adversarial loss: 1.161335, acc: 0.265625] 18015: [discriminator loss: 0.559808, acc: 0.671875] [adversarial loss: 1.009061, acc: 0.328125] 18016: [discriminator loss: 0.549995, acc: 0.718750] [adversarial loss: 1.349149, acc: 0.171875] 18017: [discriminator loss: 0.553684, acc: 0.664062] [adversarial loss: 0.741428, acc: 0.515625] 18018: [discriminator loss: 0.503796, acc: 0.789062] [adversarial loss: 1.415006, acc: 0.203125] 18019: [discriminator loss: 0.558529, acc: 0.671875] [adversarial loss: 0.971053, acc: 0.375000] 18020: [discriminator loss: 0.561422, acc: 0.648438] [adversarial loss: 1.432483, acc: 0.062500] 18021: [discriminator loss: 0.551871, acc: 0.703125] [adversarial loss: 0.927067, acc: 0.500000] 18022: [discriminator loss: 0.572582, acc: 0.679688] [adversarial loss: 1.636574, acc: 0.093750] 18023: [discriminator loss: 0.540240, acc: 0.742188] [adversarial loss: 0.990803, acc: 0.406250] 18024: [discriminator loss: 0.614024, acc: 0.687500] [adversarial loss: 1.259899, acc: 0.171875] 18025: [discriminator loss: 0.511522, acc: 0.718750] [adversarial loss: 1.022223, acc: 0.359375] 18026: [discriminator loss: 0.522169, acc: 0.726562] [adversarial loss: 1.141258, acc: 0.343750] 18027: [discriminator loss: 0.484466, acc: 0.804688] [adversarial loss: 1.196373, acc: 0.171875] 18028: [discriminator loss: 0.541439, acc: 0.750000] [adversarial loss: 0.997197, acc: 0.328125] 18029: [discriminator loss: 0.557731, acc: 0.734375] [adversarial loss: 1.359458, acc: 0.203125] 18030: [discriminator loss: 0.559115, acc: 0.710938] [adversarial loss: 1.157868, acc: 0.234375] 18031: [discriminator loss: 0.529152, acc: 0.695312] [adversarial loss: 1.333155, acc: 0.234375] 18032: [discriminator loss: 0.534699, acc: 0.695312] [adversarial loss: 0.713889, acc: 0.609375] 18033: [discriminator loss: 0.640376, acc: 0.679688] [adversarial loss: 1.438574, acc: 0.093750] 18034: [discriminator loss: 0.519901, acc: 0.734375] [adversarial loss: 0.934609, acc: 0.468750] 18035: [discriminator loss: 0.537744, acc: 0.726562] [adversarial loss: 1.463346, acc: 0.156250] 18036: [discriminator loss: 0.604327, acc: 0.726562] [adversarial loss: 0.820480, acc: 0.500000] 18037: [discriminator loss: 0.614310, acc: 0.671875] [adversarial loss: 1.754779, acc: 0.109375] 18038: [discriminator loss: 0.587368, acc: 0.695312] [adversarial loss: 1.099209, acc: 0.296875] 18039: [discriminator loss: 0.555029, acc: 0.710938] [adversarial loss: 1.281192, acc: 0.156250] 18040: [discriminator loss: 0.599173, acc: 0.687500] [adversarial loss: 0.920997, acc: 0.390625] 18041: [discriminator loss: 0.595350, acc: 0.632812] [adversarial loss: 1.217042, acc: 0.203125] 18042: [discriminator loss: 0.462478, acc: 0.765625] [adversarial loss: 0.992107, acc: 0.375000] 18043: [discriminator loss: 0.568451, acc: 0.656250] [adversarial loss: 1.149786, acc: 0.234375] 18044: [discriminator loss: 0.492116, acc: 0.750000] [adversarial loss: 1.124128, acc: 0.296875] 18045: [discriminator loss: 0.643670, acc: 0.632812] [adversarial loss: 1.227758, acc: 0.171875] 18046: [discriminator loss: 0.535598, acc: 0.734375] [adversarial loss: 1.152698, acc: 0.171875] 18047: [discriminator loss: 0.541440, acc: 0.734375] [adversarial loss: 1.114334, acc: 0.328125] 18048: [discriminator loss: 0.567533, acc: 0.671875] [adversarial loss: 1.096256, acc: 0.265625] 18049: [discriminator loss: 0.542616, acc: 0.671875] [adversarial loss: 0.947245, acc: 0.390625] 18050: [discriminator loss: 0.563902, acc: 0.710938] [adversarial loss: 1.682000, acc: 0.093750] 18051: [discriminator loss: 0.583351, acc: 0.718750] [adversarial loss: 0.826301, acc: 0.421875] 18052: [discriminator loss: 0.514548, acc: 0.757812] [adversarial loss: 1.207437, acc: 0.265625] 18053: [discriminator loss: 0.626181, acc: 0.656250] [adversarial loss: 0.985056, acc: 0.265625] 18054: [discriminator loss: 0.573011, acc: 0.687500] [adversarial loss: 1.352726, acc: 0.125000] 18055: [discriminator loss: 0.547817, acc: 0.710938] [adversarial loss: 0.972881, acc: 0.406250] 18056: [discriminator loss: 0.593772, acc: 0.679688] [adversarial loss: 1.482667, acc: 0.093750] 18057: [discriminator loss: 0.574630, acc: 0.710938] [adversarial loss: 0.876875, acc: 0.406250] 18058: [discriminator loss: 0.537118, acc: 0.742188] [adversarial loss: 1.158870, acc: 0.218750] 18059: [discriminator loss: 0.543799, acc: 0.726562] [adversarial loss: 1.217882, acc: 0.250000] 18060: [discriminator loss: 0.512944, acc: 0.742188] [adversarial loss: 1.125401, acc: 0.265625] 18061: [discriminator loss: 0.519034, acc: 0.726562] [adversarial loss: 1.239387, acc: 0.187500] 18062: [discriminator loss: 0.566861, acc: 0.640625] [adversarial loss: 0.829872, acc: 0.437500] 18063: [discriminator loss: 0.537485, acc: 0.710938] [adversarial loss: 1.408137, acc: 0.171875] 18064: [discriminator loss: 0.519037, acc: 0.773438] [adversarial loss: 0.579661, acc: 0.671875] 18065: [discriminator loss: 0.535990, acc: 0.734375] [adversarial loss: 1.427731, acc: 0.140625] 18066: [discriminator loss: 0.539114, acc: 0.679688] [adversarial loss: 0.869318, acc: 0.390625] 18067: [discriminator loss: 0.557371, acc: 0.710938] [adversarial loss: 1.231446, acc: 0.171875] 18068: [discriminator loss: 0.537678, acc: 0.703125] [adversarial loss: 1.028598, acc: 0.359375] 18069: [discriminator loss: 0.564882, acc: 0.695312] [adversarial loss: 1.270346, acc: 0.250000] 18070: [discriminator loss: 0.566133, acc: 0.710938] [adversarial loss: 0.868265, acc: 0.359375] 18071: [discriminator loss: 0.495559, acc: 0.742188] [adversarial loss: 1.279002, acc: 0.203125] 18072: [discriminator loss: 0.582314, acc: 0.671875] [adversarial loss: 0.804284, acc: 0.484375] 18073: [discriminator loss: 0.637484, acc: 0.656250] [adversarial loss: 1.406578, acc: 0.171875] 18074: [discriminator loss: 0.605322, acc: 0.625000] [adversarial loss: 0.565874, acc: 0.750000] 18075: [discriminator loss: 0.638907, acc: 0.656250] [adversarial loss: 1.644243, acc: 0.062500] 18076: [discriminator loss: 0.532861, acc: 0.718750] [adversarial loss: 0.905363, acc: 0.453125] 18077: [discriminator loss: 0.456034, acc: 0.789062] [adversarial loss: 1.024507, acc: 0.312500] 18078: [discriminator loss: 0.490710, acc: 0.773438] [adversarial loss: 1.420003, acc: 0.109375] 18079: [discriminator loss: 0.555989, acc: 0.687500] [adversarial loss: 1.212571, acc: 0.234375] 18080: [discriminator loss: 0.495663, acc: 0.734375] [adversarial loss: 1.142107, acc: 0.218750] 18081: [discriminator loss: 0.531316, acc: 0.703125] [adversarial loss: 1.175656, acc: 0.250000] 18082: [discriminator loss: 0.531252, acc: 0.718750] [adversarial loss: 1.127282, acc: 0.281250] 18083: [discriminator loss: 0.532194, acc: 0.742188] [adversarial loss: 1.029607, acc: 0.359375] 18084: [discriminator loss: 0.493544, acc: 0.773438] [adversarial loss: 1.023886, acc: 0.265625] 18085: [discriminator loss: 0.560533, acc: 0.679688] [adversarial loss: 1.169067, acc: 0.281250] 18086: [discriminator loss: 0.532668, acc: 0.742188] [adversarial loss: 1.069918, acc: 0.187500] 18087: [discriminator loss: 0.534230, acc: 0.710938] [adversarial loss: 1.263442, acc: 0.187500] 18088: [discriminator loss: 0.577741, acc: 0.718750] [adversarial loss: 1.336237, acc: 0.140625] 18089: [discriminator loss: 0.540232, acc: 0.687500] [adversarial loss: 1.167657, acc: 0.296875] 18090: [discriminator loss: 0.553599, acc: 0.687500] [adversarial loss: 1.257318, acc: 0.218750] 18091: [discriminator loss: 0.568147, acc: 0.718750] [adversarial loss: 1.190281, acc: 0.265625] 18092: [discriminator loss: 0.579463, acc: 0.640625] [adversarial loss: 1.105804, acc: 0.281250] 18093: [discriminator loss: 0.526631, acc: 0.750000] [adversarial loss: 1.174333, acc: 0.265625] 18094: [discriminator loss: 0.490624, acc: 0.804688] [adversarial loss: 1.551852, acc: 0.171875] 18095: [discriminator loss: 0.526822, acc: 0.734375] [adversarial loss: 0.904682, acc: 0.406250] 18096: [discriminator loss: 0.500704, acc: 0.757812] [adversarial loss: 1.492511, acc: 0.171875] 18097: [discriminator loss: 0.580765, acc: 0.687500] [adversarial loss: 1.093394, acc: 0.234375] 18098: [discriminator loss: 0.516740, acc: 0.773438] [adversarial loss: 1.195662, acc: 0.203125] 18099: [discriminator loss: 0.499353, acc: 0.742188] [adversarial loss: 1.006812, acc: 0.437500] 18100: [discriminator loss: 0.530774, acc: 0.726562] [adversarial loss: 1.115731, acc: 0.296875] 18101: [discriminator loss: 0.592287, acc: 0.679688] [adversarial loss: 1.198406, acc: 0.265625] 18102: [discriminator loss: 0.470592, acc: 0.804688] [adversarial loss: 0.963332, acc: 0.437500] 18103: [discriminator loss: 0.529564, acc: 0.695312] [adversarial loss: 1.192954, acc: 0.218750] 18104: [discriminator loss: 0.578500, acc: 0.671875] [adversarial loss: 0.828123, acc: 0.406250] 18105: [discriminator loss: 0.545502, acc: 0.710938] [adversarial loss: 1.184554, acc: 0.250000] 18106: [discriminator loss: 0.520387, acc: 0.710938] [adversarial loss: 1.051393, acc: 0.375000] 18107: [discriminator loss: 0.558421, acc: 0.703125] [adversarial loss: 1.520285, acc: 0.187500] 18108: [discriminator loss: 0.599281, acc: 0.656250] [adversarial loss: 1.037427, acc: 0.359375] 18109: [discriminator loss: 0.601329, acc: 0.726562] [adversarial loss: 1.128399, acc: 0.234375] 18110: [discriminator loss: 0.569759, acc: 0.679688] [adversarial loss: 0.831335, acc: 0.515625] 18111: [discriminator loss: 0.551204, acc: 0.765625] [adversarial loss: 1.666335, acc: 0.062500] 18112: [discriminator loss: 0.573425, acc: 0.640625] [adversarial loss: 0.768545, acc: 0.500000] 18113: [discriminator loss: 0.607263, acc: 0.695312] [adversarial loss: 1.734881, acc: 0.109375] 18114: [discriminator loss: 0.600495, acc: 0.695312] [adversarial loss: 0.908280, acc: 0.406250] 18115: [discriminator loss: 0.530245, acc: 0.695312] [adversarial loss: 1.287543, acc: 0.187500] 18116: [discriminator loss: 0.589012, acc: 0.703125] [adversarial loss: 1.108065, acc: 0.265625] 18117: [discriminator loss: 0.523087, acc: 0.757812] [adversarial loss: 1.076792, acc: 0.421875] 18118: [discriminator loss: 0.537381, acc: 0.742188] [adversarial loss: 1.175437, acc: 0.234375] 18119: [discriminator loss: 0.528882, acc: 0.734375] [adversarial loss: 1.261120, acc: 0.171875] 18120: [discriminator loss: 0.504093, acc: 0.734375] [adversarial loss: 1.012748, acc: 0.421875] 18121: [discriminator loss: 0.523199, acc: 0.710938] [adversarial loss: 1.338999, acc: 0.234375] 18122: [discriminator loss: 0.543801, acc: 0.718750] [adversarial loss: 1.283821, acc: 0.187500] 18123: [discriminator loss: 0.513039, acc: 0.710938] [adversarial loss: 1.125131, acc: 0.312500] 18124: [discriminator loss: 0.531828, acc: 0.710938] [adversarial loss: 1.203532, acc: 0.203125] 18125: [discriminator loss: 0.594258, acc: 0.679688] [adversarial loss: 1.203587, acc: 0.203125] 18126: [discriminator loss: 0.608742, acc: 0.640625] [adversarial loss: 1.027238, acc: 0.312500] 18127: [discriminator loss: 0.566113, acc: 0.703125] [adversarial loss: 1.514407, acc: 0.125000] 18128: [discriminator loss: 0.531476, acc: 0.718750] [adversarial loss: 0.851471, acc: 0.453125] 18129: [discriminator loss: 0.539310, acc: 0.726562] [adversarial loss: 1.687625, acc: 0.156250] 18130: [discriminator loss: 0.639522, acc: 0.640625] [adversarial loss: 0.841027, acc: 0.468750] 18131: [discriminator loss: 0.613684, acc: 0.632812] [adversarial loss: 1.606854, acc: 0.125000] 18132: [discriminator loss: 0.540875, acc: 0.703125] [adversarial loss: 0.849073, acc: 0.437500] 18133: [discriminator loss: 0.542419, acc: 0.734375] [adversarial loss: 1.168312, acc: 0.375000] 18134: [discriminator loss: 0.623717, acc: 0.632812] [adversarial loss: 1.337445, acc: 0.187500] 18135: [discriminator loss: 0.546829, acc: 0.679688] [adversarial loss: 0.851952, acc: 0.468750] 18136: [discriminator loss: 0.624999, acc: 0.679688] [adversarial loss: 1.116195, acc: 0.218750] 18137: [discriminator loss: 0.589927, acc: 0.679688] [adversarial loss: 1.126544, acc: 0.250000] 18138: [discriminator loss: 0.581725, acc: 0.710938] [adversarial loss: 1.239464, acc: 0.156250] 18139: [discriminator loss: 0.488556, acc: 0.765625] [adversarial loss: 1.010223, acc: 0.343750] 18140: [discriminator loss: 0.494556, acc: 0.750000] [adversarial loss: 1.296052, acc: 0.234375] 18141: [discriminator loss: 0.578883, acc: 0.695312] [adversarial loss: 1.123206, acc: 0.296875] 18142: [discriminator loss: 0.507164, acc: 0.742188] [adversarial loss: 0.982537, acc: 0.437500] 18143: [discriminator loss: 0.591861, acc: 0.726562] [adversarial loss: 1.230819, acc: 0.265625] 18144: [discriminator loss: 0.571043, acc: 0.734375] [adversarial loss: 0.953143, acc: 0.437500] 18145: [discriminator loss: 0.467929, acc: 0.781250] [adversarial loss: 1.168398, acc: 0.343750] 18146: [discriminator loss: 0.541958, acc: 0.703125] [adversarial loss: 1.238755, acc: 0.203125] 18147: [discriminator loss: 0.563955, acc: 0.734375] [adversarial loss: 1.107611, acc: 0.296875] 18148: [discriminator loss: 0.509735, acc: 0.750000] [adversarial loss: 1.389930, acc: 0.171875] 18149: [discriminator loss: 0.524363, acc: 0.726562] [adversarial loss: 1.010788, acc: 0.390625] 18150: [discriminator loss: 0.549558, acc: 0.765625] [adversarial loss: 1.592490, acc: 0.093750] 18151: [discriminator loss: 0.473829, acc: 0.765625] [adversarial loss: 0.966723, acc: 0.359375] 18152: [discriminator loss: 0.576653, acc: 0.718750] [adversarial loss: 1.596267, acc: 0.062500] 18153: [discriminator loss: 0.564737, acc: 0.718750] [adversarial loss: 0.848566, acc: 0.531250] 18154: [discriminator loss: 0.511988, acc: 0.718750] [adversarial loss: 1.466807, acc: 0.203125] 18155: [discriminator loss: 0.630514, acc: 0.671875] [adversarial loss: 0.932244, acc: 0.437500] 18156: [discriminator loss: 0.569359, acc: 0.640625] [adversarial loss: 1.341912, acc: 0.281250] 18157: [discriminator loss: 0.481643, acc: 0.734375] [adversarial loss: 0.915071, acc: 0.453125] 18158: [discriminator loss: 0.551125, acc: 0.718750] [adversarial loss: 1.569306, acc: 0.171875] 18159: [discriminator loss: 0.596349, acc: 0.687500] [adversarial loss: 1.048430, acc: 0.312500] 18160: [discriminator loss: 0.611248, acc: 0.710938] [adversarial loss: 1.273456, acc: 0.234375] 18161: [discriminator loss: 0.496023, acc: 0.773438] [adversarial loss: 0.852136, acc: 0.484375] 18162: [discriminator loss: 0.509688, acc: 0.742188] [adversarial loss: 1.360164, acc: 0.218750] 18163: [discriminator loss: 0.583761, acc: 0.679688] [adversarial loss: 1.006116, acc: 0.359375] 18164: [discriminator loss: 0.537735, acc: 0.726562] [adversarial loss: 1.145374, acc: 0.281250] 18165: [discriminator loss: 0.560045, acc: 0.695312] [adversarial loss: 0.810817, acc: 0.484375] 18166: [discriminator loss: 0.531064, acc: 0.726562] [adversarial loss: 1.554485, acc: 0.062500] 18167: [discriminator loss: 0.530954, acc: 0.742188] [adversarial loss: 1.006242, acc: 0.296875] 18168: [discriminator loss: 0.490856, acc: 0.773438] [adversarial loss: 1.243870, acc: 0.328125] 18169: [discriminator loss: 0.512970, acc: 0.750000] [adversarial loss: 0.950848, acc: 0.390625] 18170: [discriminator loss: 0.522773, acc: 0.710938] [adversarial loss: 1.508822, acc: 0.125000] 18171: [discriminator loss: 0.622569, acc: 0.679688] [adversarial loss: 0.838584, acc: 0.500000] 18172: [discriminator loss: 0.628710, acc: 0.640625] [adversarial loss: 1.415657, acc: 0.093750] 18173: [discriminator loss: 0.545406, acc: 0.734375] [adversarial loss: 0.875027, acc: 0.468750] 18174: [discriminator loss: 0.617835, acc: 0.703125] [adversarial loss: 1.458650, acc: 0.156250] 18175: [discriminator loss: 0.519441, acc: 0.695312] [adversarial loss: 0.914035, acc: 0.421875] 18176: [discriminator loss: 0.546695, acc: 0.718750] [adversarial loss: 1.034334, acc: 0.406250] 18177: [discriminator loss: 0.624958, acc: 0.632812] [adversarial loss: 1.060060, acc: 0.359375] 18178: [discriminator loss: 0.584400, acc: 0.687500] [adversarial loss: 1.066879, acc: 0.359375] 18179: [discriminator loss: 0.522765, acc: 0.726562] [adversarial loss: 1.064470, acc: 0.265625] 18180: [discriminator loss: 0.549297, acc: 0.742188] [adversarial loss: 1.267383, acc: 0.265625] 18181: [discriminator loss: 0.477641, acc: 0.796875] [adversarial loss: 1.018541, acc: 0.437500] 18182: [discriminator loss: 0.525559, acc: 0.734375] [adversarial loss: 1.314398, acc: 0.171875] 18183: [discriminator loss: 0.567896, acc: 0.687500] [adversarial loss: 1.062764, acc: 0.328125] 18184: [discriminator loss: 0.569300, acc: 0.656250] [adversarial loss: 1.487388, acc: 0.125000] 18185: [discriminator loss: 0.558627, acc: 0.656250] [adversarial loss: 0.826086, acc: 0.468750] 18186: [discriminator loss: 0.693608, acc: 0.625000] [adversarial loss: 1.635987, acc: 0.062500] 18187: [discriminator loss: 0.526861, acc: 0.710938] [adversarial loss: 0.854143, acc: 0.500000] 18188: [discriminator loss: 0.546445, acc: 0.710938] [adversarial loss: 1.465453, acc: 0.171875] 18189: [discriminator loss: 0.538820, acc: 0.640625] [adversarial loss: 0.833298, acc: 0.515625] 18190: [discriminator loss: 0.544165, acc: 0.718750] [adversarial loss: 1.485426, acc: 0.125000] 18191: [discriminator loss: 0.568415, acc: 0.695312] [adversarial loss: 0.995124, acc: 0.406250] 18192: [discriminator loss: 0.502732, acc: 0.804688] [adversarial loss: 1.308115, acc: 0.187500] 18193: [discriminator loss: 0.532359, acc: 0.750000] [adversarial loss: 0.848316, acc: 0.421875] 18194: [discriminator loss: 0.535634, acc: 0.765625] [adversarial loss: 1.713016, acc: 0.046875] 18195: [discriminator loss: 0.657337, acc: 0.664062] [adversarial loss: 0.894267, acc: 0.421875] 18196: [discriminator loss: 0.490641, acc: 0.789062] [adversarial loss: 1.350812, acc: 0.109375] 18197: [discriminator loss: 0.585148, acc: 0.656250] [adversarial loss: 1.029865, acc: 0.265625] 18198: [discriminator loss: 0.514884, acc: 0.734375] [adversarial loss: 1.474989, acc: 0.140625] 18199: [discriminator loss: 0.544328, acc: 0.718750] [adversarial loss: 0.867936, acc: 0.421875] 18200: [discriminator loss: 0.622082, acc: 0.671875] [adversarial loss: 1.469222, acc: 0.125000] 18201: [discriminator loss: 0.597171, acc: 0.703125] [adversarial loss: 0.917285, acc: 0.500000] 18202: [discriminator loss: 0.542944, acc: 0.757812] [adversarial loss: 1.214135, acc: 0.234375] 18203: [discriminator loss: 0.539057, acc: 0.695312] [adversarial loss: 1.081437, acc: 0.343750] 18204: [discriminator loss: 0.518763, acc: 0.742188] [adversarial loss: 1.164904, acc: 0.312500] 18205: [discriminator loss: 0.516880, acc: 0.757812] [adversarial loss: 1.528150, acc: 0.171875] 18206: [discriminator loss: 0.602593, acc: 0.687500] [adversarial loss: 0.985361, acc: 0.343750] 18207: [discriminator loss: 0.535589, acc: 0.734375] [adversarial loss: 1.377145, acc: 0.203125] 18208: [discriminator loss: 0.532946, acc: 0.703125] [adversarial loss: 1.059966, acc: 0.375000] 18209: [discriminator loss: 0.535160, acc: 0.742188] [adversarial loss: 1.384712, acc: 0.187500] 18210: [discriminator loss: 0.580113, acc: 0.679688] [adversarial loss: 1.276469, acc: 0.156250] 18211: [discriminator loss: 0.553335, acc: 0.703125] [adversarial loss: 1.138346, acc: 0.250000] 18212: [discriminator loss: 0.601735, acc: 0.703125] [adversarial loss: 1.131890, acc: 0.250000] 18213: [discriminator loss: 0.556168, acc: 0.695312] [adversarial loss: 1.351683, acc: 0.218750] 18214: [discriminator loss: 0.534129, acc: 0.765625] [adversarial loss: 1.141403, acc: 0.250000] 18215: [discriminator loss: 0.489434, acc: 0.726562] [adversarial loss: 1.050321, acc: 0.265625] 18216: [discriminator loss: 0.541211, acc: 0.648438] [adversarial loss: 1.018842, acc: 0.390625] 18217: [discriminator loss: 0.519531, acc: 0.726562] [adversarial loss: 1.347177, acc: 0.187500] 18218: [discriminator loss: 0.494540, acc: 0.742188] [adversarial loss: 0.994069, acc: 0.312500] 18219: [discriminator loss: 0.513474, acc: 0.750000] [adversarial loss: 1.003588, acc: 0.296875] 18220: [discriminator loss: 0.622705, acc: 0.671875] [adversarial loss: 1.320972, acc: 0.203125] 18221: [discriminator loss: 0.569055, acc: 0.640625] [adversarial loss: 1.240259, acc: 0.359375] 18222: [discriminator loss: 0.544178, acc: 0.726562] [adversarial loss: 1.511504, acc: 0.140625] 18223: [discriminator loss: 0.565898, acc: 0.710938] [adversarial loss: 0.978377, acc: 0.390625] 18224: [discriminator loss: 0.511633, acc: 0.750000] [adversarial loss: 1.245683, acc: 0.234375] 18225: [discriminator loss: 0.582498, acc: 0.656250] [adversarial loss: 1.224495, acc: 0.187500] 18226: [discriminator loss: 0.594842, acc: 0.718750] [adversarial loss: 1.420896, acc: 0.218750] 18227: [discriminator loss: 0.530989, acc: 0.710938] [adversarial loss: 1.043665, acc: 0.328125] 18228: [discriminator loss: 0.543025, acc: 0.695312] [adversarial loss: 1.153289, acc: 0.218750] 18229: [discriminator loss: 0.546893, acc: 0.718750] [adversarial loss: 0.879590, acc: 0.390625] 18230: [discriminator loss: 0.616825, acc: 0.656250] [adversarial loss: 1.336889, acc: 0.125000] 18231: [discriminator loss: 0.604948, acc: 0.695312] [adversarial loss: 0.961272, acc: 0.453125] 18232: [discriminator loss: 0.500274, acc: 0.765625] [adversarial loss: 1.631507, acc: 0.093750] 18233: [discriminator loss: 0.585004, acc: 0.664062] [adversarial loss: 0.842681, acc: 0.515625] 18234: [discriminator loss: 0.581218, acc: 0.671875] [adversarial loss: 1.280472, acc: 0.171875] 18235: [discriminator loss: 0.576348, acc: 0.648438] [adversarial loss: 0.679487, acc: 0.625000] 18236: [discriminator loss: 0.552264, acc: 0.695312] [adversarial loss: 1.320868, acc: 0.140625] 18237: [discriminator loss: 0.534059, acc: 0.695312] [adversarial loss: 0.859239, acc: 0.390625] 18238: [discriminator loss: 0.575284, acc: 0.710938] [adversarial loss: 1.506529, acc: 0.078125] 18239: [discriminator loss: 0.578281, acc: 0.671875] [adversarial loss: 1.088586, acc: 0.296875] 18240: [discriminator loss: 0.556639, acc: 0.671875] [adversarial loss: 1.407225, acc: 0.218750] 18241: [discriminator loss: 0.502018, acc: 0.765625] [adversarial loss: 1.151562, acc: 0.250000] 18242: [discriminator loss: 0.486427, acc: 0.789062] [adversarial loss: 1.374287, acc: 0.281250] 18243: [discriminator loss: 0.538797, acc: 0.703125] [adversarial loss: 1.243155, acc: 0.234375] 18244: [discriminator loss: 0.562313, acc: 0.679688] [adversarial loss: 1.258595, acc: 0.250000] 18245: [discriminator loss: 0.619409, acc: 0.640625] [adversarial loss: 1.015603, acc: 0.343750] 18246: [discriminator loss: 0.568651, acc: 0.679688] [adversarial loss: 1.123163, acc: 0.328125] 18247: [discriminator loss: 0.502382, acc: 0.781250] [adversarial loss: 1.109750, acc: 0.250000] 18248: [discriminator loss: 0.573872, acc: 0.664062] [adversarial loss: 0.735137, acc: 0.562500] 18249: [discriminator loss: 0.571556, acc: 0.679688] [adversarial loss: 1.759501, acc: 0.078125] 18250: [discriminator loss: 0.655243, acc: 0.601562] [adversarial loss: 0.683259, acc: 0.640625] 18251: [discriminator loss: 0.672219, acc: 0.632812] [adversarial loss: 1.656719, acc: 0.078125] 18252: [discriminator loss: 0.567472, acc: 0.710938] [adversarial loss: 0.816501, acc: 0.453125] 18253: [discriminator loss: 0.541863, acc: 0.750000] [adversarial loss: 1.254897, acc: 0.125000] 18254: [discriminator loss: 0.503138, acc: 0.781250] [adversarial loss: 1.097262, acc: 0.250000] 18255: [discriminator loss: 0.550417, acc: 0.710938] [adversarial loss: 1.174253, acc: 0.218750] 18256: [discriminator loss: 0.545815, acc: 0.742188] [adversarial loss: 1.185178, acc: 0.296875] 18257: [discriminator loss: 0.551715, acc: 0.750000] [adversarial loss: 1.191494, acc: 0.250000] 18258: [discriminator loss: 0.545210, acc: 0.734375] [adversarial loss: 1.337820, acc: 0.171875] 18259: [discriminator loss: 0.517331, acc: 0.726562] [adversarial loss: 1.083724, acc: 0.234375] 18260: [discriminator loss: 0.510299, acc: 0.757812] [adversarial loss: 1.257676, acc: 0.218750] 18261: [discriminator loss: 0.569026, acc: 0.695312] [adversarial loss: 1.248272, acc: 0.187500] 18262: [discriminator loss: 0.520692, acc: 0.750000] [adversarial loss: 1.073703, acc: 0.359375] 18263: [discriminator loss: 0.518777, acc: 0.703125] [adversarial loss: 1.270204, acc: 0.187500] 18264: [discriminator loss: 0.576062, acc: 0.695312] [adversarial loss: 1.020489, acc: 0.312500] 18265: [discriminator loss: 0.552681, acc: 0.703125] [adversarial loss: 1.328353, acc: 0.171875] 18266: [discriminator loss: 0.499977, acc: 0.757812] [adversarial loss: 1.058095, acc: 0.343750] 18267: [discriminator loss: 0.523533, acc: 0.718750] [adversarial loss: 1.146782, acc: 0.343750] 18268: [discriminator loss: 0.513654, acc: 0.757812] [adversarial loss: 1.015328, acc: 0.343750] 18269: [discriminator loss: 0.556783, acc: 0.726562] [adversarial loss: 1.064517, acc: 0.390625] 18270: [discriminator loss: 0.569980, acc: 0.687500] [adversarial loss: 1.289314, acc: 0.140625] 18271: [discriminator loss: 0.539623, acc: 0.757812] [adversarial loss: 1.208696, acc: 0.218750] 18272: [discriminator loss: 0.509362, acc: 0.734375] [adversarial loss: 1.262123, acc: 0.203125] 18273: [discriminator loss: 0.478775, acc: 0.796875] [adversarial loss: 0.793773, acc: 0.484375] 18274: [discriminator loss: 0.541930, acc: 0.703125] [adversarial loss: 1.499083, acc: 0.125000] 18275: [discriminator loss: 0.539535, acc: 0.687500] [adversarial loss: 0.852034, acc: 0.437500] 18276: [discriminator loss: 0.517515, acc: 0.710938] [adversarial loss: 1.735763, acc: 0.078125] 18277: [discriminator loss: 0.589240, acc: 0.656250] [adversarial loss: 0.902668, acc: 0.453125] 18278: [discriminator loss: 0.561240, acc: 0.710938] [adversarial loss: 1.615143, acc: 0.093750] 18279: [discriminator loss: 0.627407, acc: 0.632812] [adversarial loss: 0.725670, acc: 0.546875] 18280: [discriminator loss: 0.585349, acc: 0.664062] [adversarial loss: 1.518951, acc: 0.125000] 18281: [discriminator loss: 0.545499, acc: 0.718750] [adversarial loss: 0.851319, acc: 0.390625] 18282: [discriminator loss: 0.586361, acc: 0.671875] [adversarial loss: 1.461381, acc: 0.156250] 18283: [discriminator loss: 0.578574, acc: 0.695312] [adversarial loss: 0.899274, acc: 0.390625] 18284: [discriminator loss: 0.623170, acc: 0.671875] [adversarial loss: 1.418380, acc: 0.171875] 18285: [discriminator loss: 0.558180, acc: 0.695312] [adversarial loss: 0.936793, acc: 0.453125] 18286: [discriminator loss: 0.592731, acc: 0.703125] [adversarial loss: 1.612571, acc: 0.140625] 18287: [discriminator loss: 0.590181, acc: 0.664062] [adversarial loss: 1.057210, acc: 0.312500] 18288: [discriminator loss: 0.534733, acc: 0.742188] [adversarial loss: 1.322113, acc: 0.187500] 18289: [discriminator loss: 0.599651, acc: 0.710938] [adversarial loss: 0.987247, acc: 0.328125] 18290: [discriminator loss: 0.519862, acc: 0.703125] [adversarial loss: 1.059745, acc: 0.312500] 18291: [discriminator loss: 0.507774, acc: 0.734375] [adversarial loss: 1.141663, acc: 0.250000] 18292: [discriminator loss: 0.530832, acc: 0.757812] [adversarial loss: 1.145228, acc: 0.281250] 18293: [discriminator loss: 0.552845, acc: 0.695312] [adversarial loss: 1.181823, acc: 0.265625] 18294: [discriminator loss: 0.526990, acc: 0.757812] [adversarial loss: 1.179528, acc: 0.203125] 18295: [discriminator loss: 0.530510, acc: 0.726562] [adversarial loss: 1.070062, acc: 0.328125] 18296: [discriminator loss: 0.579093, acc: 0.710938] [adversarial loss: 0.819422, acc: 0.500000] 18297: [discriminator loss: 0.528404, acc: 0.750000] [adversarial loss: 1.643420, acc: 0.046875] 18298: [discriminator loss: 0.530010, acc: 0.695312] [adversarial loss: 0.921135, acc: 0.375000] 18299: [discriminator loss: 0.523751, acc: 0.781250] [adversarial loss: 1.271391, acc: 0.218750] 18300: [discriminator loss: 0.553121, acc: 0.703125] [adversarial loss: 1.345436, acc: 0.218750] 18301: [discriminator loss: 0.514100, acc: 0.718750] [adversarial loss: 1.119210, acc: 0.328125] 18302: [discriminator loss: 0.608074, acc: 0.687500] [adversarial loss: 1.091511, acc: 0.390625] 18303: [discriminator loss: 0.547421, acc: 0.718750] [adversarial loss: 1.192694, acc: 0.281250] 18304: [discriminator loss: 0.573250, acc: 0.656250] [adversarial loss: 1.071349, acc: 0.343750] 18305: [discriminator loss: 0.562885, acc: 0.703125] [adversarial loss: 1.316840, acc: 0.140625] 18306: [discriminator loss: 0.521963, acc: 0.710938] [adversarial loss: 1.001379, acc: 0.375000] 18307: [discriminator loss: 0.548667, acc: 0.695312] [adversarial loss: 1.361532, acc: 0.171875] 18308: [discriminator loss: 0.571771, acc: 0.710938] [adversarial loss: 0.756622, acc: 0.500000] 18309: [discriminator loss: 0.568861, acc: 0.742188] [adversarial loss: 1.307262, acc: 0.250000] 18310: [discriminator loss: 0.538387, acc: 0.703125] [adversarial loss: 1.006428, acc: 0.375000] 18311: [discriminator loss: 0.624925, acc: 0.648438] [adversarial loss: 1.353888, acc: 0.203125] 18312: [discriminator loss: 0.520184, acc: 0.726562] [adversarial loss: 1.034042, acc: 0.281250] 18313: [discriminator loss: 0.534735, acc: 0.687500] [adversarial loss: 1.293403, acc: 0.234375] 18314: [discriminator loss: 0.488474, acc: 0.757812] [adversarial loss: 0.913544, acc: 0.390625] 18315: [discriminator loss: 0.527140, acc: 0.734375] [adversarial loss: 1.219313, acc: 0.234375] 18316: [discriminator loss: 0.526640, acc: 0.703125] [adversarial loss: 1.202588, acc: 0.171875] 18317: [discriminator loss: 0.602233, acc: 0.640625] [adversarial loss: 1.318749, acc: 0.171875] 18318: [discriminator loss: 0.501767, acc: 0.773438] [adversarial loss: 1.110296, acc: 0.343750] 18319: [discriminator loss: 0.545052, acc: 0.742188] [adversarial loss: 1.978908, acc: 0.062500] 18320: [discriminator loss: 0.672126, acc: 0.632812] [adversarial loss: 0.779555, acc: 0.484375] 18321: [discriminator loss: 0.564337, acc: 0.695312] [adversarial loss: 1.654772, acc: 0.125000] 18322: [discriminator loss: 0.627993, acc: 0.632812] [adversarial loss: 0.921693, acc: 0.421875] 18323: [discriminator loss: 0.546248, acc: 0.703125] [adversarial loss: 1.419879, acc: 0.125000] 18324: [discriminator loss: 0.545372, acc: 0.695312] [adversarial loss: 0.936840, acc: 0.328125] 18325: [discriminator loss: 0.560881, acc: 0.718750] [adversarial loss: 1.216475, acc: 0.203125] 18326: [discriminator loss: 0.568165, acc: 0.710938] [adversarial loss: 1.007639, acc: 0.328125] 18327: [discriminator loss: 0.521285, acc: 0.750000] [adversarial loss: 1.516021, acc: 0.156250] 18328: [discriminator loss: 0.536811, acc: 0.703125] [adversarial loss: 1.014732, acc: 0.343750] 18329: [discriminator loss: 0.528612, acc: 0.750000] [adversarial loss: 1.030639, acc: 0.328125] 18330: [discriminator loss: 0.483352, acc: 0.804688] [adversarial loss: 1.048577, acc: 0.359375] 18331: [discriminator loss: 0.597996, acc: 0.710938] [adversarial loss: 1.194011, acc: 0.203125] 18332: [discriminator loss: 0.619924, acc: 0.617188] [adversarial loss: 0.881515, acc: 0.359375] 18333: [discriminator loss: 0.505783, acc: 0.742188] [adversarial loss: 1.627039, acc: 0.093750] 18334: [discriminator loss: 0.597309, acc: 0.695312] [adversarial loss: 0.757754, acc: 0.562500] 18335: [discriminator loss: 0.606767, acc: 0.640625] [adversarial loss: 1.467968, acc: 0.140625] 18336: [discriminator loss: 0.551093, acc: 0.726562] [adversarial loss: 0.937414, acc: 0.406250] 18337: [discriminator loss: 0.595645, acc: 0.687500] [adversarial loss: 1.526345, acc: 0.140625] 18338: [discriminator loss: 0.526420, acc: 0.710938] [adversarial loss: 1.038177, acc: 0.312500] 18339: [discriminator loss: 0.476292, acc: 0.757812] [adversarial loss: 1.278317, acc: 0.218750] 18340: [discriminator loss: 0.700049, acc: 0.679688] [adversarial loss: 1.287909, acc: 0.171875] 18341: [discriminator loss: 0.486632, acc: 0.742188] [adversarial loss: 1.044513, acc: 0.312500] 18342: [discriminator loss: 0.532370, acc: 0.726562] [adversarial loss: 1.453252, acc: 0.140625] 18343: [discriminator loss: 0.565129, acc: 0.703125] [adversarial loss: 0.999087, acc: 0.250000] 18344: [discriminator loss: 0.514363, acc: 0.742188] [adversarial loss: 1.238214, acc: 0.312500] 18345: [discriminator loss: 0.553966, acc: 0.742188] [adversarial loss: 1.305006, acc: 0.171875] 18346: [discriminator loss: 0.532808, acc: 0.765625] [adversarial loss: 1.094748, acc: 0.343750] 18347: [discriminator loss: 0.559692, acc: 0.710938] [adversarial loss: 1.199769, acc: 0.312500] 18348: [discriminator loss: 0.542057, acc: 0.750000] [adversarial loss: 0.903789, acc: 0.484375] 18349: [discriminator loss: 0.534474, acc: 0.718750] [adversarial loss: 1.498189, acc: 0.171875] 18350: [discriminator loss: 0.644336, acc: 0.648438] [adversarial loss: 0.873994, acc: 0.437500] 18351: [discriminator loss: 0.563361, acc: 0.718750] [adversarial loss: 1.489858, acc: 0.062500] 18352: [discriminator loss: 0.557222, acc: 0.687500] [adversarial loss: 0.898591, acc: 0.453125] 18353: [discriminator loss: 0.618677, acc: 0.648438] [adversarial loss: 1.382103, acc: 0.187500] 18354: [discriminator loss: 0.543975, acc: 0.710938] [adversarial loss: 0.921472, acc: 0.406250] 18355: [discriminator loss: 0.536574, acc: 0.718750] [adversarial loss: 1.255754, acc: 0.187500] 18356: [discriminator loss: 0.516190, acc: 0.773438] [adversarial loss: 1.171821, acc: 0.265625] 18357: [discriminator loss: 0.597468, acc: 0.679688] [adversarial loss: 1.206945, acc: 0.234375] 18358: [discriminator loss: 0.533075, acc: 0.726562] [adversarial loss: 1.389925, acc: 0.125000] 18359: [discriminator loss: 0.512453, acc: 0.750000] [adversarial loss: 1.157511, acc: 0.218750] 18360: [discriminator loss: 0.568574, acc: 0.703125] [adversarial loss: 1.562857, acc: 0.031250] 18361: [discriminator loss: 0.528754, acc: 0.734375] [adversarial loss: 0.921054, acc: 0.437500] 18362: [discriminator loss: 0.554662, acc: 0.710938] [adversarial loss: 1.337656, acc: 0.093750] 18363: [discriminator loss: 0.623066, acc: 0.648438] [adversarial loss: 0.793846, acc: 0.546875] 18364: [discriminator loss: 0.561687, acc: 0.718750] [adversarial loss: 1.166292, acc: 0.156250] 18365: [discriminator loss: 0.512791, acc: 0.710938] [adversarial loss: 1.055878, acc: 0.265625] 18366: [discriminator loss: 0.619048, acc: 0.671875] [adversarial loss: 1.563851, acc: 0.156250] 18367: [discriminator loss: 0.567761, acc: 0.679688] [adversarial loss: 0.802979, acc: 0.468750] 18368: [discriminator loss: 0.688289, acc: 0.625000] [adversarial loss: 1.401992, acc: 0.171875] 18369: [discriminator loss: 0.559878, acc: 0.734375] [adversarial loss: 0.863317, acc: 0.328125] 18370: [discriminator loss: 0.529246, acc: 0.726562] [adversarial loss: 1.805580, acc: 0.046875] 18371: [discriminator loss: 0.527675, acc: 0.726562] [adversarial loss: 0.901641, acc: 0.406250] 18372: [discriminator loss: 0.599024, acc: 0.710938] [adversarial loss: 1.385644, acc: 0.156250] 18373: [discriminator loss: 0.558778, acc: 0.656250] [adversarial loss: 0.874920, acc: 0.515625] 18374: [discriminator loss: 0.580387, acc: 0.671875] [adversarial loss: 1.077342, acc: 0.281250] 18375: [discriminator loss: 0.484230, acc: 0.789062] [adversarial loss: 1.119184, acc: 0.234375] 18376: [discriminator loss: 0.598990, acc: 0.695312] [adversarial loss: 1.465957, acc: 0.109375] 18377: [discriminator loss: 0.529363, acc: 0.671875] [adversarial loss: 1.082496, acc: 0.265625] 18378: [discriminator loss: 0.508725, acc: 0.757812] [adversarial loss: 1.189228, acc: 0.234375] 18379: [discriminator loss: 0.485467, acc: 0.757812] [adversarial loss: 1.117879, acc: 0.234375] 18380: [discriminator loss: 0.529699, acc: 0.726562] [adversarial loss: 1.235978, acc: 0.359375] 18381: [discriminator loss: 0.527416, acc: 0.703125] [adversarial loss: 1.087428, acc: 0.296875] 18382: [discriminator loss: 0.503480, acc: 0.742188] [adversarial loss: 1.057950, acc: 0.265625] 18383: [discriminator loss: 0.585555, acc: 0.703125] [adversarial loss: 1.417357, acc: 0.125000] 18384: [discriminator loss: 0.590186, acc: 0.671875] [adversarial loss: 0.780294, acc: 0.531250] 18385: [discriminator loss: 0.588015, acc: 0.703125] [adversarial loss: 1.381817, acc: 0.187500] 18386: [discriminator loss: 0.527350, acc: 0.726562] [adversarial loss: 0.803136, acc: 0.437500] 18387: [discriminator loss: 0.602977, acc: 0.703125] [adversarial loss: 1.390045, acc: 0.125000] 18388: [discriminator loss: 0.648040, acc: 0.593750] [adversarial loss: 1.142555, acc: 0.359375] 18389: [discriminator loss: 0.481829, acc: 0.750000] [adversarial loss: 1.341237, acc: 0.171875] 18390: [discriminator loss: 0.611198, acc: 0.687500] [adversarial loss: 0.899194, acc: 0.406250] 18391: [discriminator loss: 0.541404, acc: 0.773438] [adversarial loss: 1.241664, acc: 0.265625] 18392: [discriminator loss: 0.508452, acc: 0.703125] [adversarial loss: 1.205612, acc: 0.281250] 18393: [discriminator loss: 0.593477, acc: 0.687500] [adversarial loss: 0.864724, acc: 0.421875] 18394: [discriminator loss: 0.588153, acc: 0.671875] [adversarial loss: 1.436095, acc: 0.109375] 18395: [discriminator loss: 0.522332, acc: 0.718750] [adversarial loss: 0.988876, acc: 0.437500] 18396: [discriminator loss: 0.548535, acc: 0.695312] [adversarial loss: 1.407503, acc: 0.203125] 18397: [discriminator loss: 0.572912, acc: 0.726562] [adversarial loss: 1.017012, acc: 0.296875] 18398: [discriminator loss: 0.523573, acc: 0.726562] [adversarial loss: 1.591303, acc: 0.156250] 18399: [discriminator loss: 0.646651, acc: 0.625000] [adversarial loss: 0.876459, acc: 0.500000] 18400: [discriminator loss: 0.524054, acc: 0.726562] [adversarial loss: 1.297466, acc: 0.140625] 18401: [discriminator loss: 0.528098, acc: 0.742188] [adversarial loss: 1.076572, acc: 0.312500] 18402: [discriminator loss: 0.504665, acc: 0.757812] [adversarial loss: 1.268374, acc: 0.203125] 18403: [discriminator loss: 0.543236, acc: 0.687500] [adversarial loss: 1.082627, acc: 0.281250] 18404: [discriminator loss: 0.566540, acc: 0.765625] [adversarial loss: 1.350605, acc: 0.187500] 18405: [discriminator loss: 0.552469, acc: 0.710938] [adversarial loss: 0.925041, acc: 0.390625] 18406: [discriminator loss: 0.542149, acc: 0.726562] [adversarial loss: 1.403254, acc: 0.156250] 18407: [discriminator loss: 0.526025, acc: 0.734375] [adversarial loss: 1.191074, acc: 0.328125] 18408: [discriminator loss: 0.523315, acc: 0.718750] [adversarial loss: 1.273776, acc: 0.250000] 18409: [discriminator loss: 0.524556, acc: 0.742188] [adversarial loss: 1.107394, acc: 0.312500] 18410: [discriminator loss: 0.555704, acc: 0.703125] [adversarial loss: 1.258446, acc: 0.265625] 18411: [discriminator loss: 0.518234, acc: 0.710938] [adversarial loss: 0.933123, acc: 0.421875] 18412: [discriminator loss: 0.569890, acc: 0.703125] [adversarial loss: 1.620944, acc: 0.171875] 18413: [discriminator loss: 0.532077, acc: 0.656250] [adversarial loss: 0.837972, acc: 0.437500] 18414: [discriminator loss: 0.570740, acc: 0.679688] [adversarial loss: 1.484180, acc: 0.109375] 18415: [discriminator loss: 0.572924, acc: 0.687500] [adversarial loss: 0.939242, acc: 0.468750] 18416: [discriminator loss: 0.560391, acc: 0.703125] [adversarial loss: 1.557076, acc: 0.062500] 18417: [discriminator loss: 0.564293, acc: 0.671875] [adversarial loss: 0.834339, acc: 0.437500] 18418: [discriminator loss: 0.585644, acc: 0.695312] [adversarial loss: 1.394207, acc: 0.187500] 18419: [discriminator loss: 0.590232, acc: 0.718750] [adversarial loss: 0.703812, acc: 0.546875] 18420: [discriminator loss: 0.560469, acc: 0.703125] [adversarial loss: 1.303822, acc: 0.218750] 18421: [discriminator loss: 0.552548, acc: 0.710938] [adversarial loss: 0.981417, acc: 0.359375] 18422: [discriminator loss: 0.513841, acc: 0.718750] [adversarial loss: 1.348960, acc: 0.140625] 18423: [discriminator loss: 0.641190, acc: 0.632812] [adversarial loss: 1.050114, acc: 0.296875] 18424: [discriminator loss: 0.527740, acc: 0.734375] [adversarial loss: 1.388294, acc: 0.156250] 18425: [discriminator loss: 0.554834, acc: 0.695312] [adversarial loss: 0.772906, acc: 0.484375] 18426: [discriminator loss: 0.557456, acc: 0.726562] [adversarial loss: 1.750612, acc: 0.062500] 18427: [discriminator loss: 0.616578, acc: 0.664062] [adversarial loss: 0.942040, acc: 0.375000] 18428: [discriminator loss: 0.580138, acc: 0.640625] [adversarial loss: 1.409036, acc: 0.171875] 18429: [discriminator loss: 0.550527, acc: 0.695312] [adversarial loss: 0.936848, acc: 0.359375] 18430: [discriminator loss: 0.511681, acc: 0.750000] [adversarial loss: 1.350889, acc: 0.140625] 18431: [discriminator loss: 0.600046, acc: 0.656250] [adversarial loss: 0.859984, acc: 0.453125] 18432: [discriminator loss: 0.612911, acc: 0.640625] [adversarial loss: 1.390367, acc: 0.187500] 18433: [discriminator loss: 0.545753, acc: 0.734375] [adversarial loss: 0.834683, acc: 0.484375] 18434: [discriminator loss: 0.506831, acc: 0.742188] [adversarial loss: 1.387947, acc: 0.140625] 18435: [discriminator loss: 0.569310, acc: 0.679688] [adversarial loss: 0.955585, acc: 0.359375] 18436: [discriminator loss: 0.532653, acc: 0.703125] [adversarial loss: 1.167748, acc: 0.234375] 18437: [discriminator loss: 0.523860, acc: 0.750000] [adversarial loss: 1.145482, acc: 0.234375] 18438: [discriminator loss: 0.562746, acc: 0.687500] [adversarial loss: 1.120308, acc: 0.296875] 18439: [discriminator loss: 0.564915, acc: 0.679688] [adversarial loss: 0.991906, acc: 0.343750] 18440: [discriminator loss: 0.536653, acc: 0.718750] [adversarial loss: 1.291185, acc: 0.156250] 18441: [discriminator loss: 0.521068, acc: 0.718750] [adversarial loss: 0.850868, acc: 0.421875] 18442: [discriminator loss: 0.620866, acc: 0.625000] [adversarial loss: 1.248063, acc: 0.125000] 18443: [discriminator loss: 0.562328, acc: 0.671875] [adversarial loss: 0.816061, acc: 0.468750] 18444: [discriminator loss: 0.542707, acc: 0.671875] [adversarial loss: 1.306251, acc: 0.125000] 18445: [discriminator loss: 0.533697, acc: 0.742188] [adversarial loss: 0.935424, acc: 0.421875] 18446: [discriminator loss: 0.522940, acc: 0.718750] [adversarial loss: 1.263346, acc: 0.265625] 18447: [discriminator loss: 0.568719, acc: 0.703125] [adversarial loss: 1.259340, acc: 0.250000] 18448: [discriminator loss: 0.502186, acc: 0.750000] [adversarial loss: 1.227207, acc: 0.218750] 18449: [discriminator loss: 0.495725, acc: 0.765625] [adversarial loss: 1.237751, acc: 0.156250] 18450: [discriminator loss: 0.545244, acc: 0.695312] [adversarial loss: 1.339346, acc: 0.218750] 18451: [discriminator loss: 0.561265, acc: 0.687500] [adversarial loss: 1.151679, acc: 0.281250] 18452: [discriminator loss: 0.532418, acc: 0.710938] [adversarial loss: 1.413518, acc: 0.125000] 18453: [discriminator loss: 0.463741, acc: 0.796875] [adversarial loss: 1.034070, acc: 0.390625] 18454: [discriminator loss: 0.501055, acc: 0.742188] [adversarial loss: 1.313020, acc: 0.203125] 18455: [discriminator loss: 0.536445, acc: 0.695312] [adversarial loss: 1.292724, acc: 0.218750] 18456: [discriminator loss: 0.548090, acc: 0.648438] [adversarial loss: 1.051757, acc: 0.328125] 18457: [discriminator loss: 0.475942, acc: 0.789062] [adversarial loss: 1.597892, acc: 0.125000] 18458: [discriminator loss: 0.628061, acc: 0.656250] [adversarial loss: 1.018470, acc: 0.359375] 18459: [discriminator loss: 0.550849, acc: 0.726562] [adversarial loss: 1.006440, acc: 0.312500] 18460: [discriminator loss: 0.552254, acc: 0.734375] [adversarial loss: 1.535820, acc: 0.093750] 18461: [discriminator loss: 0.543728, acc: 0.734375] [adversarial loss: 0.933807, acc: 0.468750] 18462: [discriminator loss: 0.607266, acc: 0.664062] [adversarial loss: 1.719942, acc: 0.031250] 18463: [discriminator loss: 0.613713, acc: 0.679688] [adversarial loss: 0.878005, acc: 0.390625] 18464: [discriminator loss: 0.540632, acc: 0.734375] [adversarial loss: 1.520467, acc: 0.078125] 18465: [discriminator loss: 0.581551, acc: 0.656250] [adversarial loss: 0.833773, acc: 0.484375] 18466: [discriminator loss: 0.654974, acc: 0.679688] [adversarial loss: 1.671607, acc: 0.078125] 18467: [discriminator loss: 0.596240, acc: 0.679688] [adversarial loss: 0.927565, acc: 0.453125] 18468: [discriminator loss: 0.554989, acc: 0.703125] [adversarial loss: 1.367128, acc: 0.187500] 18469: [discriminator loss: 0.576907, acc: 0.726562] [adversarial loss: 1.047267, acc: 0.281250] 18470: [discriminator loss: 0.588341, acc: 0.679688] [adversarial loss: 1.230537, acc: 0.171875] 18471: [discriminator loss: 0.588845, acc: 0.695312] [adversarial loss: 1.021949, acc: 0.281250] 18472: [discriminator loss: 0.535046, acc: 0.710938] [adversarial loss: 1.299621, acc: 0.187500] 18473: [discriminator loss: 0.527135, acc: 0.726562] [adversarial loss: 1.026357, acc: 0.312500] 18474: [discriminator loss: 0.543211, acc: 0.687500] [adversarial loss: 1.046310, acc: 0.328125] 18475: [discriminator loss: 0.522368, acc: 0.757812] [adversarial loss: 1.096296, acc: 0.312500] 18476: [discriminator loss: 0.483020, acc: 0.781250] [adversarial loss: 1.066722, acc: 0.281250] 18477: [discriminator loss: 0.586361, acc: 0.656250] [adversarial loss: 1.284494, acc: 0.218750] 18478: [discriminator loss: 0.504036, acc: 0.757812] [adversarial loss: 1.084483, acc: 0.296875] 18479: [discriminator loss: 0.540484, acc: 0.703125] [adversarial loss: 1.388458, acc: 0.140625] 18480: [discriminator loss: 0.548417, acc: 0.679688] [adversarial loss: 0.758366, acc: 0.578125] 18481: [discriminator loss: 0.593425, acc: 0.664062] [adversarial loss: 1.516454, acc: 0.093750] 18482: [discriminator loss: 0.520166, acc: 0.750000] [adversarial loss: 0.960875, acc: 0.421875] 18483: [discriminator loss: 0.541412, acc: 0.734375] [adversarial loss: 1.202468, acc: 0.265625] 18484: [discriminator loss: 0.531410, acc: 0.734375] [adversarial loss: 0.941710, acc: 0.437500] 18485: [discriminator loss: 0.511104, acc: 0.757812] [adversarial loss: 1.483218, acc: 0.109375] 18486: [discriminator loss: 0.532976, acc: 0.726562] [adversarial loss: 0.846428, acc: 0.421875] 18487: [discriminator loss: 0.513736, acc: 0.757812] [adversarial loss: 1.421654, acc: 0.187500] 18488: [discriminator loss: 0.574449, acc: 0.687500] [adversarial loss: 1.104259, acc: 0.312500] 18489: [discriminator loss: 0.606911, acc: 0.648438] [adversarial loss: 1.380306, acc: 0.109375] 18490: [discriminator loss: 0.600893, acc: 0.687500] [adversarial loss: 0.987789, acc: 0.406250] 18491: [discriminator loss: 0.554077, acc: 0.671875] [adversarial loss: 1.437156, acc: 0.109375] 18492: [discriminator loss: 0.564766, acc: 0.648438] [adversarial loss: 0.934871, acc: 0.453125] 18493: [discriminator loss: 0.586327, acc: 0.750000] [adversarial loss: 1.200762, acc: 0.250000] 18494: [discriminator loss: 0.566855, acc: 0.718750] [adversarial loss: 0.869047, acc: 0.390625] 18495: [discriminator loss: 0.555827, acc: 0.750000] [adversarial loss: 1.412925, acc: 0.156250] 18496: [discriminator loss: 0.499833, acc: 0.750000] [adversarial loss: 1.069437, acc: 0.265625] 18497: [discriminator loss: 0.622938, acc: 0.656250] [adversarial loss: 1.273865, acc: 0.156250] 18498: [discriminator loss: 0.509265, acc: 0.718750] [adversarial loss: 1.142917, acc: 0.312500] 18499: [discriminator loss: 0.601811, acc: 0.679688] [adversarial loss: 1.253810, acc: 0.234375] 18500: [discriminator loss: 0.586353, acc: 0.718750] [adversarial loss: 1.065266, acc: 0.406250] 18501: [discriminator loss: 0.544124, acc: 0.718750] [adversarial loss: 1.332957, acc: 0.203125] 18502: [discriminator loss: 0.588106, acc: 0.664062] [adversarial loss: 1.387105, acc: 0.140625] 18503: [discriminator loss: 0.550459, acc: 0.695312] [adversarial loss: 0.840130, acc: 0.500000] 18504: [discriminator loss: 0.568179, acc: 0.640625] [adversarial loss: 1.532153, acc: 0.140625] 18505: [discriminator loss: 0.551333, acc: 0.734375] [adversarial loss: 0.743876, acc: 0.562500] 18506: [discriminator loss: 0.563776, acc: 0.695312] [adversarial loss: 1.447220, acc: 0.125000] 18507: [discriminator loss: 0.555893, acc: 0.656250] [adversarial loss: 0.996814, acc: 0.406250] 18508: [discriminator loss: 0.476428, acc: 0.789062] [adversarial loss: 1.135044, acc: 0.328125] 18509: [discriminator loss: 0.526212, acc: 0.703125] [adversarial loss: 0.868422, acc: 0.421875] 18510: [discriminator loss: 0.503326, acc: 0.757812] [adversarial loss: 1.408059, acc: 0.203125] 18511: [discriminator loss: 0.617643, acc: 0.687500] [adversarial loss: 0.983453, acc: 0.281250] 18512: [discriminator loss: 0.605004, acc: 0.664062] [adversarial loss: 1.452722, acc: 0.109375] 18513: [discriminator loss: 0.564694, acc: 0.726562] [adversarial loss: 0.950680, acc: 0.312500] 18514: [discriminator loss: 0.511675, acc: 0.734375] [adversarial loss: 1.076206, acc: 0.281250] 18515: [discriminator loss: 0.576435, acc: 0.710938] [adversarial loss: 0.992824, acc: 0.343750] 18516: [discriminator loss: 0.472178, acc: 0.765625] [adversarial loss: 1.379161, acc: 0.140625] 18517: [discriminator loss: 0.455249, acc: 0.781250] [adversarial loss: 1.000880, acc: 0.265625] 18518: [discriminator loss: 0.467890, acc: 0.820312] [adversarial loss: 1.269821, acc: 0.140625] 18519: [discriminator loss: 0.557095, acc: 0.695312] [adversarial loss: 0.919025, acc: 0.421875] 18520: [discriminator loss: 0.583571, acc: 0.656250] [adversarial loss: 1.687386, acc: 0.109375] 18521: [discriminator loss: 0.629515, acc: 0.648438] [adversarial loss: 0.802038, acc: 0.531250] 18522: [discriminator loss: 0.561042, acc: 0.671875] [adversarial loss: 1.456093, acc: 0.140625] 18523: [discriminator loss: 0.561532, acc: 0.664062] [adversarial loss: 0.909471, acc: 0.500000] 18524: [discriminator loss: 0.564121, acc: 0.695312] [adversarial loss: 1.334463, acc: 0.156250] 18525: [discriminator loss: 0.580830, acc: 0.664062] [adversarial loss: 0.913741, acc: 0.421875] 18526: [discriminator loss: 0.537842, acc: 0.742188] [adversarial loss: 1.298491, acc: 0.140625] 18527: [discriminator loss: 0.585270, acc: 0.679688] [adversarial loss: 1.133581, acc: 0.203125] 18528: [discriminator loss: 0.504207, acc: 0.742188] [adversarial loss: 1.226344, acc: 0.265625] 18529: [discriminator loss: 0.521808, acc: 0.695312] [adversarial loss: 1.221326, acc: 0.250000] 18530: [discriminator loss: 0.543007, acc: 0.710938] [adversarial loss: 0.928005, acc: 0.484375] 18531: [discriminator loss: 0.555379, acc: 0.664062] [adversarial loss: 1.381203, acc: 0.171875] 18532: [discriminator loss: 0.558514, acc: 0.695312] [adversarial loss: 1.069345, acc: 0.390625] 18533: [discriminator loss: 0.535481, acc: 0.750000] [adversarial loss: 1.469049, acc: 0.109375] 18534: [discriminator loss: 0.577324, acc: 0.742188] [adversarial loss: 0.824774, acc: 0.484375] 18535: [discriminator loss: 0.538140, acc: 0.718750] [adversarial loss: 1.728054, acc: 0.093750] 18536: [discriminator loss: 0.559836, acc: 0.695312] [adversarial loss: 0.858729, acc: 0.437500] 18537: [discriminator loss: 0.564795, acc: 0.687500] [adversarial loss: 1.365302, acc: 0.218750] 18538: [discriminator loss: 0.509678, acc: 0.750000] [adversarial loss: 0.945089, acc: 0.421875] 18539: [discriminator loss: 0.547828, acc: 0.710938] [adversarial loss: 1.504799, acc: 0.187500] 18540: [discriminator loss: 0.624214, acc: 0.656250] [adversarial loss: 0.953805, acc: 0.406250] 18541: [discriminator loss: 0.608656, acc: 0.679688] [adversarial loss: 1.533049, acc: 0.156250] 18542: [discriminator loss: 0.477356, acc: 0.789062] [adversarial loss: 1.035064, acc: 0.312500] 18543: [discriminator loss: 0.579661, acc: 0.671875] [adversarial loss: 1.245629, acc: 0.203125] 18544: [discriminator loss: 0.611246, acc: 0.664062] [adversarial loss: 1.016700, acc: 0.359375] 18545: [discriminator loss: 0.612142, acc: 0.656250] [adversarial loss: 1.278167, acc: 0.234375] 18546: [discriminator loss: 0.545974, acc: 0.726562] [adversarial loss: 0.939779, acc: 0.484375] 18547: [discriminator loss: 0.586967, acc: 0.718750] [adversarial loss: 1.461082, acc: 0.093750] 18548: [discriminator loss: 0.583593, acc: 0.679688] [adversarial loss: 0.818338, acc: 0.468750] 18549: [discriminator loss: 0.530309, acc: 0.750000] [adversarial loss: 1.625045, acc: 0.156250] 18550: [discriminator loss: 0.607349, acc: 0.640625] [adversarial loss: 0.975681, acc: 0.375000] 18551: [discriminator loss: 0.543821, acc: 0.734375] [adversarial loss: 1.459619, acc: 0.140625] 18552: [discriminator loss: 0.523318, acc: 0.750000] [adversarial loss: 0.962488, acc: 0.406250] 18553: [discriminator loss: 0.554702, acc: 0.671875] [adversarial loss: 1.121147, acc: 0.187500] 18554: [discriminator loss: 0.481909, acc: 0.757812] [adversarial loss: 1.080654, acc: 0.328125] 18555: [discriminator loss: 0.559126, acc: 0.757812] [adversarial loss: 1.331422, acc: 0.203125] 18556: [discriminator loss: 0.494915, acc: 0.796875] [adversarial loss: 0.967681, acc: 0.343750] 18557: [discriminator loss: 0.566072, acc: 0.695312] [adversarial loss: 1.087090, acc: 0.359375] 18558: [discriminator loss: 0.562120, acc: 0.695312] [adversarial loss: 0.945848, acc: 0.406250] 18559: [discriminator loss: 0.539745, acc: 0.726562] [adversarial loss: 1.334115, acc: 0.187500] 18560: [discriminator loss: 0.494470, acc: 0.742188] [adversarial loss: 1.213669, acc: 0.234375] 18561: [discriminator loss: 0.589548, acc: 0.648438] [adversarial loss: 0.954999, acc: 0.343750] 18562: [discriminator loss: 0.582985, acc: 0.695312] [adversarial loss: 1.241109, acc: 0.281250] 18563: [discriminator loss: 0.486678, acc: 0.773438] [adversarial loss: 1.200104, acc: 0.187500] 18564: [discriminator loss: 0.524291, acc: 0.757812] [adversarial loss: 1.257390, acc: 0.203125] 18565: [discriminator loss: 0.534896, acc: 0.742188] [adversarial loss: 1.133617, acc: 0.234375] 18566: [discriminator loss: 0.492457, acc: 0.796875] [adversarial loss: 1.240693, acc: 0.203125] 18567: [discriminator loss: 0.552860, acc: 0.742188] [adversarial loss: 0.950330, acc: 0.390625] 18568: [discriminator loss: 0.633491, acc: 0.695312] [adversarial loss: 1.293588, acc: 0.187500] 18569: [discriminator loss: 0.652335, acc: 0.617188] [adversarial loss: 1.081207, acc: 0.281250] 18570: [discriminator loss: 0.560152, acc: 0.687500] [adversarial loss: 1.317639, acc: 0.250000] 18571: [discriminator loss: 0.503022, acc: 0.742188] [adversarial loss: 1.030897, acc: 0.328125] 18572: [discriminator loss: 0.484865, acc: 0.773438] [adversarial loss: 1.574950, acc: 0.140625] 18573: [discriminator loss: 0.589706, acc: 0.679688] [adversarial loss: 0.895441, acc: 0.468750] 18574: [discriminator loss: 0.543344, acc: 0.718750] [adversarial loss: 1.679458, acc: 0.078125] 18575: [discriminator loss: 0.559593, acc: 0.679688] [adversarial loss: 0.741443, acc: 0.562500] 18576: [discriminator loss: 0.619350, acc: 0.687500] [adversarial loss: 1.568056, acc: 0.109375] 18577: [discriminator loss: 0.542148, acc: 0.718750] [adversarial loss: 0.931756, acc: 0.421875] 18578: [discriminator loss: 0.560998, acc: 0.765625] [adversarial loss: 1.347194, acc: 0.156250] 18579: [discriminator loss: 0.526915, acc: 0.703125] [adversarial loss: 1.114897, acc: 0.265625] 18580: [discriminator loss: 0.558780, acc: 0.687500] [adversarial loss: 1.357201, acc: 0.140625] 18581: [discriminator loss: 0.618036, acc: 0.679688] [adversarial loss: 0.911411, acc: 0.437500] 18582: [discriminator loss: 0.551251, acc: 0.726562] [adversarial loss: 1.456170, acc: 0.156250] 18583: [discriminator loss: 0.589054, acc: 0.664062] [adversarial loss: 0.822747, acc: 0.500000] 18584: [discriminator loss: 0.541011, acc: 0.710938] [adversarial loss: 0.990425, acc: 0.343750] 18585: [discriminator loss: 0.566432, acc: 0.695312] [adversarial loss: 1.293214, acc: 0.156250] 18586: [discriminator loss: 0.606462, acc: 0.695312] [adversarial loss: 1.336703, acc: 0.093750] 18587: [discriminator loss: 0.587533, acc: 0.710938] [adversarial loss: 1.055925, acc: 0.312500] 18588: [discriminator loss: 0.562203, acc: 0.671875] [adversarial loss: 1.086660, acc: 0.265625] 18589: [discriminator loss: 0.596860, acc: 0.664062] [adversarial loss: 1.443416, acc: 0.187500] 18590: [discriminator loss: 0.496602, acc: 0.742188] [adversarial loss: 1.087886, acc: 0.312500] 18591: [discriminator loss: 0.536912, acc: 0.765625] [adversarial loss: 1.531025, acc: 0.125000] 18592: [discriminator loss: 0.568685, acc: 0.710938] [adversarial loss: 1.049078, acc: 0.406250] 18593: [discriminator loss: 0.602235, acc: 0.703125] [adversarial loss: 1.265206, acc: 0.187500] 18594: [discriminator loss: 0.579586, acc: 0.656250] [adversarial loss: 1.171209, acc: 0.281250] 18595: [discriminator loss: 0.642616, acc: 0.664062] [adversarial loss: 1.128620, acc: 0.234375] 18596: [discriminator loss: 0.545596, acc: 0.687500] [adversarial loss: 1.076770, acc: 0.359375] 18597: [discriminator loss: 0.550229, acc: 0.718750] [adversarial loss: 1.369613, acc: 0.171875] 18598: [discriminator loss: 0.563064, acc: 0.695312] [adversarial loss: 0.703012, acc: 0.656250] 18599: [discriminator loss: 0.616830, acc: 0.664062] [adversarial loss: 1.561881, acc: 0.031250] 18600: [discriminator loss: 0.564761, acc: 0.695312] [adversarial loss: 0.869742, acc: 0.500000] 18601: [discriminator loss: 0.651551, acc: 0.648438] [adversarial loss: 1.489690, acc: 0.171875] 18602: [discriminator loss: 0.582856, acc: 0.679688] [adversarial loss: 0.977325, acc: 0.437500] 18603: [discriminator loss: 0.535335, acc: 0.710938] [adversarial loss: 1.506632, acc: 0.171875] 18604: [discriminator loss: 0.599220, acc: 0.632812] [adversarial loss: 0.897446, acc: 0.437500] 18605: [discriminator loss: 0.529864, acc: 0.734375] [adversarial loss: 1.394849, acc: 0.203125] 18606: [discriminator loss: 0.586729, acc: 0.710938] [adversarial loss: 1.150194, acc: 0.343750] 18607: [discriminator loss: 0.501522, acc: 0.734375] [adversarial loss: 1.438172, acc: 0.171875] 18608: [discriminator loss: 0.513824, acc: 0.742188] [adversarial loss: 1.118245, acc: 0.328125] 18609: [discriminator loss: 0.558547, acc: 0.726562] [adversarial loss: 1.148556, acc: 0.234375] 18610: [discriminator loss: 0.590079, acc: 0.703125] [adversarial loss: 1.340644, acc: 0.218750] 18611: [discriminator loss: 0.549137, acc: 0.726562] [adversarial loss: 1.099973, acc: 0.328125] 18612: [discriminator loss: 0.529001, acc: 0.703125] [adversarial loss: 1.277526, acc: 0.234375] 18613: [discriminator loss: 0.528544, acc: 0.726562] [adversarial loss: 1.306901, acc: 0.218750] 18614: [discriminator loss: 0.556168, acc: 0.718750] [adversarial loss: 1.170681, acc: 0.312500] 18615: [discriminator loss: 0.506714, acc: 0.742188] [adversarial loss: 1.235652, acc: 0.250000] 18616: [discriminator loss: 0.524089, acc: 0.757812] [adversarial loss: 0.943344, acc: 0.437500] 18617: [discriminator loss: 0.526973, acc: 0.781250] [adversarial loss: 1.608120, acc: 0.093750] 18618: [discriminator loss: 0.571489, acc: 0.695312] [adversarial loss: 0.914111, acc: 0.484375] 18619: [discriminator loss: 0.591679, acc: 0.703125] [adversarial loss: 1.571997, acc: 0.125000] 18620: [discriminator loss: 0.636757, acc: 0.640625] [adversarial loss: 0.613034, acc: 0.687500] 18621: [discriminator loss: 0.566904, acc: 0.765625] [adversarial loss: 1.318117, acc: 0.234375] 18622: [discriminator loss: 0.612952, acc: 0.671875] [adversarial loss: 1.085898, acc: 0.296875] 18623: [discriminator loss: 0.525051, acc: 0.781250] [adversarial loss: 1.098535, acc: 0.250000] 18624: [discriminator loss: 0.451728, acc: 0.781250] [adversarial loss: 1.104700, acc: 0.296875] 18625: [discriminator loss: 0.549800, acc: 0.734375] [adversarial loss: 1.194387, acc: 0.250000] 18626: [discriminator loss: 0.556442, acc: 0.671875] [adversarial loss: 0.850294, acc: 0.406250] 18627: [discriminator loss: 0.575181, acc: 0.703125] [adversarial loss: 1.807004, acc: 0.062500] 18628: [discriminator loss: 0.664779, acc: 0.617188] [adversarial loss: 0.827107, acc: 0.515625] 18629: [discriminator loss: 0.544648, acc: 0.703125] [adversarial loss: 1.629792, acc: 0.062500] 18630: [discriminator loss: 0.547565, acc: 0.664062] [adversarial loss: 1.120602, acc: 0.281250] 18631: [discriminator loss: 0.509695, acc: 0.734375] [adversarial loss: 1.088863, acc: 0.359375] 18632: [discriminator loss: 0.492554, acc: 0.765625] [adversarial loss: 1.357645, acc: 0.062500] 18633: [discriminator loss: 0.553023, acc: 0.718750] [adversarial loss: 1.208457, acc: 0.187500] 18634: [discriminator loss: 0.586322, acc: 0.703125] [adversarial loss: 1.137756, acc: 0.234375] 18635: [discriminator loss: 0.589175, acc: 0.703125] [adversarial loss: 1.218742, acc: 0.265625] 18636: [discriminator loss: 0.510476, acc: 0.718750] [adversarial loss: 1.150052, acc: 0.328125] 18637: [discriminator loss: 0.565668, acc: 0.703125] [adversarial loss: 0.867393, acc: 0.437500] 18638: [discriminator loss: 0.506787, acc: 0.781250] [adversarial loss: 1.403939, acc: 0.156250] 18639: [discriminator loss: 0.547801, acc: 0.765625] [adversarial loss: 0.973505, acc: 0.406250] 18640: [discriminator loss: 0.549554, acc: 0.718750] [adversarial loss: 1.336819, acc: 0.187500] 18641: [discriminator loss: 0.551354, acc: 0.703125] [adversarial loss: 0.786449, acc: 0.562500] 18642: [discriminator loss: 0.679681, acc: 0.625000] [adversarial loss: 1.686754, acc: 0.046875] 18643: [discriminator loss: 0.602384, acc: 0.671875] [adversarial loss: 0.768611, acc: 0.546875] 18644: [discriminator loss: 0.596645, acc: 0.687500] [adversarial loss: 1.582557, acc: 0.078125] 18645: [discriminator loss: 0.591724, acc: 0.640625] [adversarial loss: 1.073706, acc: 0.328125] 18646: [discriminator loss: 0.645283, acc: 0.656250] [adversarial loss: 1.426487, acc: 0.156250] 18647: [discriminator loss: 0.515716, acc: 0.781250] [adversarial loss: 1.247205, acc: 0.187500] 18648: [discriminator loss: 0.481405, acc: 0.726562] [adversarial loss: 1.008107, acc: 0.343750] 18649: [discriminator loss: 0.505376, acc: 0.765625] [adversarial loss: 1.583144, acc: 0.125000] 18650: [discriminator loss: 0.578398, acc: 0.695312] [adversarial loss: 0.881785, acc: 0.484375] 18651: [discriminator loss: 0.556954, acc: 0.726562] [adversarial loss: 1.212200, acc: 0.281250] 18652: [discriminator loss: 0.559592, acc: 0.687500] [adversarial loss: 1.114981, acc: 0.359375] 18653: [discriminator loss: 0.588691, acc: 0.664062] [adversarial loss: 1.197123, acc: 0.203125] 18654: [discriminator loss: 0.604981, acc: 0.625000] [adversarial loss: 0.949564, acc: 0.375000] 18655: [discriminator loss: 0.551045, acc: 0.687500] [adversarial loss: 0.882361, acc: 0.421875] 18656: [discriminator loss: 0.589220, acc: 0.640625] [adversarial loss: 1.390839, acc: 0.125000] 18657: [discriminator loss: 0.518393, acc: 0.726562] [adversarial loss: 0.952792, acc: 0.359375] 18658: [discriminator loss: 0.506685, acc: 0.781250] [adversarial loss: 1.551964, acc: 0.109375] 18659: [discriminator loss: 0.515711, acc: 0.734375] [adversarial loss: 0.996035, acc: 0.421875] 18660: [discriminator loss: 0.526002, acc: 0.750000] [adversarial loss: 1.216043, acc: 0.234375] 18661: [discriminator loss: 0.535142, acc: 0.687500] [adversarial loss: 1.075143, acc: 0.265625] 18662: [discriminator loss: 0.559539, acc: 0.695312] [adversarial loss: 1.347402, acc: 0.156250] 18663: [discriminator loss: 0.545720, acc: 0.679688] [adversarial loss: 1.187548, acc: 0.187500] 18664: [discriminator loss: 0.541155, acc: 0.750000] [adversarial loss: 1.108690, acc: 0.281250] 18665: [discriminator loss: 0.510654, acc: 0.773438] [adversarial loss: 1.254274, acc: 0.203125] 18666: [discriminator loss: 0.499947, acc: 0.742188] [adversarial loss: 1.623871, acc: 0.125000] 18667: [discriminator loss: 0.551842, acc: 0.664062] [adversarial loss: 0.887564, acc: 0.468750] 18668: [discriminator loss: 0.582536, acc: 0.703125] [adversarial loss: 1.836565, acc: 0.109375] 18669: [discriminator loss: 0.603895, acc: 0.664062] [adversarial loss: 0.692158, acc: 0.625000] 18670: [discriminator loss: 0.606007, acc: 0.671875] [adversarial loss: 1.411640, acc: 0.203125] 18671: [discriminator loss: 0.563653, acc: 0.703125] [adversarial loss: 0.886405, acc: 0.421875] 18672: [discriminator loss: 0.506622, acc: 0.796875] [adversarial loss: 1.317215, acc: 0.203125] 18673: [discriminator loss: 0.542991, acc: 0.750000] [adversarial loss: 1.265496, acc: 0.234375] 18674: [discriminator loss: 0.553339, acc: 0.648438] [adversarial loss: 1.118385, acc: 0.312500] 18675: [discriminator loss: 0.631092, acc: 0.625000] [adversarial loss: 0.998597, acc: 0.343750] 18676: [discriminator loss: 0.534902, acc: 0.734375] [adversarial loss: 1.189201, acc: 0.250000] 18677: [discriminator loss: 0.570553, acc: 0.679688] [adversarial loss: 1.145694, acc: 0.343750] 18678: [discriminator loss: 0.596198, acc: 0.671875] [adversarial loss: 0.961315, acc: 0.343750] 18679: [discriminator loss: 0.530507, acc: 0.750000] [adversarial loss: 1.382503, acc: 0.203125] 18680: [discriminator loss: 0.499223, acc: 0.765625] [adversarial loss: 1.148511, acc: 0.343750] 18681: [discriminator loss: 0.540114, acc: 0.742188] [adversarial loss: 1.056164, acc: 0.296875] 18682: [discriminator loss: 0.583895, acc: 0.679688] [adversarial loss: 1.166430, acc: 0.171875] 18683: [discriminator loss: 0.529931, acc: 0.695312] [adversarial loss: 1.028741, acc: 0.390625] 18684: [discriminator loss: 0.528295, acc: 0.679688] [adversarial loss: 1.603573, acc: 0.078125] 18685: [discriminator loss: 0.518576, acc: 0.750000] [adversarial loss: 0.882525, acc: 0.437500] 18686: [discriminator loss: 0.483823, acc: 0.789062] [adversarial loss: 1.818936, acc: 0.015625] 18687: [discriminator loss: 0.628619, acc: 0.617188] [adversarial loss: 0.740911, acc: 0.578125] 18688: [discriminator loss: 0.590007, acc: 0.695312] [adversarial loss: 1.389648, acc: 0.218750] 18689: [discriminator loss: 0.547254, acc: 0.710938] [adversarial loss: 1.120531, acc: 0.281250] 18690: [discriminator loss: 0.501247, acc: 0.742188] [adversarial loss: 1.184978, acc: 0.218750] 18691: [discriminator loss: 0.508613, acc: 0.734375] [adversarial loss: 1.442664, acc: 0.046875] 18692: [discriminator loss: 0.610584, acc: 0.695312] [adversarial loss: 0.746771, acc: 0.562500] 18693: [discriminator loss: 0.691628, acc: 0.625000] [adversarial loss: 1.615357, acc: 0.093750] 18694: [discriminator loss: 0.599584, acc: 0.632812] [adversarial loss: 0.766751, acc: 0.468750] 18695: [discriminator loss: 0.553284, acc: 0.687500] [adversarial loss: 1.532606, acc: 0.140625] 18696: [discriminator loss: 0.536808, acc: 0.703125] [adversarial loss: 1.031259, acc: 0.281250] 18697: [discriminator loss: 0.495007, acc: 0.773438] [adversarial loss: 1.405715, acc: 0.187500] 18698: [discriminator loss: 0.553966, acc: 0.687500] [adversarial loss: 0.916641, acc: 0.328125] 18699: [discriminator loss: 0.553545, acc: 0.703125] [adversarial loss: 1.383442, acc: 0.203125] 18700: [discriminator loss: 0.556275, acc: 0.710938] [adversarial loss: 1.073254, acc: 0.312500] 18701: [discriminator loss: 0.569773, acc: 0.695312] [adversarial loss: 1.180416, acc: 0.218750] 18702: [discriminator loss: 0.510253, acc: 0.757812] [adversarial loss: 1.035825, acc: 0.390625] 18703: [discriminator loss: 0.565197, acc: 0.664062] [adversarial loss: 1.362490, acc: 0.187500] 18704: [discriminator loss: 0.575373, acc: 0.648438] [adversarial loss: 1.019322, acc: 0.359375] 18705: [discriminator loss: 0.573506, acc: 0.703125] [adversarial loss: 1.433164, acc: 0.156250] 18706: [discriminator loss: 0.530179, acc: 0.750000] [adversarial loss: 0.941388, acc: 0.421875] 18707: [discriminator loss: 0.628785, acc: 0.648438] [adversarial loss: 1.670737, acc: 0.078125] 18708: [discriminator loss: 0.548310, acc: 0.703125] [adversarial loss: 0.857659, acc: 0.421875] 18709: [discriminator loss: 0.555854, acc: 0.687500] [adversarial loss: 1.111431, acc: 0.312500] 18710: [discriminator loss: 0.560621, acc: 0.640625] [adversarial loss: 1.126583, acc: 0.234375] 18711: [discriminator loss: 0.520105, acc: 0.773438] [adversarial loss: 1.283793, acc: 0.203125] 18712: [discriminator loss: 0.561564, acc: 0.710938] [adversarial loss: 1.156495, acc: 0.203125] 18713: [discriminator loss: 0.459563, acc: 0.828125] [adversarial loss: 1.115578, acc: 0.265625] 18714: [discriminator loss: 0.604753, acc: 0.656250] [adversarial loss: 1.091241, acc: 0.296875] 18715: [discriminator loss: 0.583788, acc: 0.671875] [adversarial loss: 1.269830, acc: 0.156250] 18716: [discriminator loss: 0.506278, acc: 0.773438] [adversarial loss: 0.981991, acc: 0.296875] 18717: [discriminator loss: 0.513610, acc: 0.703125] [adversarial loss: 1.383576, acc: 0.218750] 18718: [discriminator loss: 0.600333, acc: 0.679688] [adversarial loss: 0.947132, acc: 0.375000] 18719: [discriminator loss: 0.509489, acc: 0.757812] [adversarial loss: 1.415795, acc: 0.187500] 18720: [discriminator loss: 0.557849, acc: 0.687500] [adversarial loss: 0.811074, acc: 0.531250] 18721: [discriminator loss: 0.571668, acc: 0.671875] [adversarial loss: 1.508867, acc: 0.125000] 18722: [discriminator loss: 0.505576, acc: 0.679688] [adversarial loss: 0.923140, acc: 0.390625] 18723: [discriminator loss: 0.562606, acc: 0.687500] [adversarial loss: 1.722471, acc: 0.140625] 18724: [discriminator loss: 0.586865, acc: 0.640625] [adversarial loss: 0.987619, acc: 0.375000] 18725: [discriminator loss: 0.491073, acc: 0.765625] [adversarial loss: 1.615830, acc: 0.156250] 18726: [discriminator loss: 0.582265, acc: 0.750000] [adversarial loss: 1.242981, acc: 0.281250] 18727: [discriminator loss: 0.584108, acc: 0.648438] [adversarial loss: 1.235235, acc: 0.203125] 18728: [discriminator loss: 0.510158, acc: 0.695312] [adversarial loss: 1.276846, acc: 0.250000] 18729: [discriminator loss: 0.480403, acc: 0.789062] [adversarial loss: 1.271479, acc: 0.234375] 18730: [discriminator loss: 0.550403, acc: 0.718750] [adversarial loss: 1.228819, acc: 0.265625] 18731: [discriminator loss: 0.504589, acc: 0.757812] [adversarial loss: 1.255673, acc: 0.218750] 18732: [discriminator loss: 0.522220, acc: 0.695312] [adversarial loss: 1.304804, acc: 0.234375] 18733: [discriminator loss: 0.523158, acc: 0.742188] [adversarial loss: 1.090154, acc: 0.328125] 18734: [discriminator loss: 0.570003, acc: 0.687500] [adversarial loss: 1.219797, acc: 0.203125] 18735: [discriminator loss: 0.555559, acc: 0.742188] [adversarial loss: 0.910241, acc: 0.343750] 18736: [discriminator loss: 0.558740, acc: 0.710938] [adversarial loss: 1.502814, acc: 0.093750] 18737: [discriminator loss: 0.592085, acc: 0.671875] [adversarial loss: 0.798134, acc: 0.546875] 18738: [discriminator loss: 0.601971, acc: 0.648438] [adversarial loss: 1.484064, acc: 0.125000] 18739: [discriminator loss: 0.599379, acc: 0.679688] [adversarial loss: 1.010053, acc: 0.359375] 18740: [discriminator loss: 0.516809, acc: 0.765625] [adversarial loss: 1.250993, acc: 0.187500] 18741: [discriminator loss: 0.576393, acc: 0.750000] [adversarial loss: 1.388232, acc: 0.171875] 18742: [discriminator loss: 0.535995, acc: 0.750000] [adversarial loss: 0.878886, acc: 0.406250] 18743: [discriminator loss: 0.598754, acc: 0.671875] [adversarial loss: 1.744163, acc: 0.093750] 18744: [discriminator loss: 0.686939, acc: 0.593750] [adversarial loss: 0.808354, acc: 0.453125] 18745: [discriminator loss: 0.542321, acc: 0.679688] [adversarial loss: 1.480990, acc: 0.171875] 18746: [discriminator loss: 0.598055, acc: 0.664062] [adversarial loss: 1.050245, acc: 0.343750] 18747: [discriminator loss: 0.568962, acc: 0.703125] [adversarial loss: 1.362950, acc: 0.156250] 18748: [discriminator loss: 0.574918, acc: 0.664062] [adversarial loss: 1.128365, acc: 0.296875] 18749: [discriminator loss: 0.516402, acc: 0.726562] [adversarial loss: 1.011189, acc: 0.312500] 18750: [discriminator loss: 0.538778, acc: 0.726562] [adversarial loss: 0.940172, acc: 0.343750] 18751: [discriminator loss: 0.467142, acc: 0.812500] [adversarial loss: 1.121703, acc: 0.234375] 18752: [discriminator loss: 0.536843, acc: 0.742188] [adversarial loss: 0.977019, acc: 0.328125] 18753: [discriminator loss: 0.488457, acc: 0.734375] [adversarial loss: 1.164500, acc: 0.234375] 18754: [discriminator loss: 0.591142, acc: 0.664062] [adversarial loss: 0.855059, acc: 0.453125] 18755: [discriminator loss: 0.562522, acc: 0.703125] [adversarial loss: 1.725126, acc: 0.078125] 18756: [discriminator loss: 0.595869, acc: 0.671875] [adversarial loss: 0.801606, acc: 0.484375] 18757: [discriminator loss: 0.586016, acc: 0.703125] [adversarial loss: 1.548494, acc: 0.156250] 18758: [discriminator loss: 0.548865, acc: 0.710938] [adversarial loss: 0.868397, acc: 0.515625] 18759: [discriminator loss: 0.613980, acc: 0.664062] [adversarial loss: 1.268041, acc: 0.203125] 18760: [discriminator loss: 0.582142, acc: 0.656250] [adversarial loss: 0.846377, acc: 0.515625] 18761: [discriminator loss: 0.589983, acc: 0.664062] [adversarial loss: 1.404689, acc: 0.171875] 18762: [discriminator loss: 0.550626, acc: 0.710938] [adversarial loss: 0.979014, acc: 0.390625] 18763: [discriminator loss: 0.530314, acc: 0.695312] [adversarial loss: 1.583423, acc: 0.171875] 18764: [discriminator loss: 0.540228, acc: 0.734375] [adversarial loss: 0.796835, acc: 0.484375] 18765: [discriminator loss: 0.562122, acc: 0.710938] [adversarial loss: 1.340833, acc: 0.187500] 18766: [discriminator loss: 0.525771, acc: 0.773438] [adversarial loss: 0.987658, acc: 0.406250] 18767: [discriminator loss: 0.490156, acc: 0.773438] [adversarial loss: 1.368505, acc: 0.140625] 18768: [discriminator loss: 0.526942, acc: 0.679688] [adversarial loss: 1.076386, acc: 0.343750] 18769: [discriminator loss: 0.519886, acc: 0.757812] [adversarial loss: 1.225519, acc: 0.234375] 18770: [discriminator loss: 0.572582, acc: 0.718750] [adversarial loss: 1.290296, acc: 0.265625] 18771: [discriminator loss: 0.550507, acc: 0.679688] [adversarial loss: 0.881587, acc: 0.468750] 18772: [discriminator loss: 0.501647, acc: 0.742188] [adversarial loss: 1.349928, acc: 0.140625] 18773: [discriminator loss: 0.525088, acc: 0.695312] [adversarial loss: 0.952668, acc: 0.359375] 18774: [discriminator loss: 0.572015, acc: 0.687500] [adversarial loss: 1.441327, acc: 0.171875] 18775: [discriminator loss: 0.512644, acc: 0.710938] [adversarial loss: 1.068326, acc: 0.375000] 18776: [discriminator loss: 0.525569, acc: 0.765625] [adversarial loss: 1.188143, acc: 0.296875] 18777: [discriminator loss: 0.570109, acc: 0.718750] [adversarial loss: 1.023031, acc: 0.359375] 18778: [discriminator loss: 0.589421, acc: 0.726562] [adversarial loss: 0.969054, acc: 0.453125] 18779: [discriminator loss: 0.525267, acc: 0.718750] [adversarial loss: 1.358273, acc: 0.203125] 18780: [discriminator loss: 0.514109, acc: 0.757812] [adversarial loss: 1.072002, acc: 0.328125] 18781: [discriminator loss: 0.601698, acc: 0.656250] [adversarial loss: 1.452772, acc: 0.078125] 18782: [discriminator loss: 0.673807, acc: 0.625000] [adversarial loss: 0.967788, acc: 0.406250] 18783: [discriminator loss: 0.557555, acc: 0.664062] [adversarial loss: 1.287281, acc: 0.203125] 18784: [discriminator loss: 0.502495, acc: 0.718750] [adversarial loss: 0.804190, acc: 0.484375] 18785: [discriminator loss: 0.553339, acc: 0.687500] [adversarial loss: 1.716610, acc: 0.031250] 18786: [discriminator loss: 0.596118, acc: 0.664062] [adversarial loss: 0.813978, acc: 0.531250] 18787: [discriminator loss: 0.570596, acc: 0.718750] [adversarial loss: 1.285177, acc: 0.265625] 18788: [discriminator loss: 0.569248, acc: 0.671875] [adversarial loss: 1.110588, acc: 0.453125] 18789: [discriminator loss: 0.538045, acc: 0.695312] [adversarial loss: 1.596070, acc: 0.062500] 18790: [discriminator loss: 0.607187, acc: 0.640625] [adversarial loss: 0.873776, acc: 0.390625] 18791: [discriminator loss: 0.553277, acc: 0.687500] [adversarial loss: 1.001005, acc: 0.343750] 18792: [discriminator loss: 0.458472, acc: 0.867188] [adversarial loss: 1.204643, acc: 0.250000] 18793: [discriminator loss: 0.514857, acc: 0.710938] [adversarial loss: 1.238709, acc: 0.203125] 18794: [discriminator loss: 0.536219, acc: 0.710938] [adversarial loss: 0.831812, acc: 0.500000] 18795: [discriminator loss: 0.573416, acc: 0.679688] [adversarial loss: 1.589762, acc: 0.125000] 18796: [discriminator loss: 0.606031, acc: 0.648438] [adversarial loss: 0.866727, acc: 0.421875] 18797: [discriminator loss: 0.523366, acc: 0.750000] [adversarial loss: 1.177142, acc: 0.234375] 18798: [discriminator loss: 0.552274, acc: 0.750000] [adversarial loss: 0.988453, acc: 0.375000] 18799: [discriminator loss: 0.599197, acc: 0.718750] [adversarial loss: 1.378794, acc: 0.234375] 18800: [discriminator loss: 0.512438, acc: 0.765625] [adversarial loss: 1.044260, acc: 0.375000] 18801: [discriminator loss: 0.529153, acc: 0.734375] [adversarial loss: 1.324329, acc: 0.203125] 18802: [discriminator loss: 0.518813, acc: 0.703125] [adversarial loss: 1.029314, acc: 0.375000] 18803: [discriminator loss: 0.538325, acc: 0.734375] [adversarial loss: 1.118567, acc: 0.312500] 18804: [discriminator loss: 0.584710, acc: 0.664062] [adversarial loss: 1.389071, acc: 0.109375] 18805: [discriminator loss: 0.563476, acc: 0.718750] [adversarial loss: 0.903749, acc: 0.421875] 18806: [discriminator loss: 0.620327, acc: 0.671875] [adversarial loss: 1.416057, acc: 0.156250] 18807: [discriminator loss: 0.601021, acc: 0.656250] [adversarial loss: 0.664018, acc: 0.656250] 18808: [discriminator loss: 0.568935, acc: 0.726562] [adversarial loss: 1.451400, acc: 0.156250] 18809: [discriminator loss: 0.544813, acc: 0.703125] [adversarial loss: 0.954048, acc: 0.359375] 18810: [discriminator loss: 0.513436, acc: 0.734375] [adversarial loss: 1.375870, acc: 0.187500] 18811: [discriminator loss: 0.513306, acc: 0.718750] [adversarial loss: 1.066797, acc: 0.234375] 18812: [discriminator loss: 0.524914, acc: 0.710938] [adversarial loss: 1.361238, acc: 0.203125] 18813: [discriminator loss: 0.554315, acc: 0.671875] [adversarial loss: 1.025870, acc: 0.343750] 18814: [discriminator loss: 0.541413, acc: 0.710938] [adversarial loss: 1.051074, acc: 0.343750] 18815: [discriminator loss: 0.492092, acc: 0.781250] [adversarial loss: 1.417707, acc: 0.203125] 18816: [discriminator loss: 0.540189, acc: 0.679688] [adversarial loss: 1.236489, acc: 0.265625] 18817: [discriminator loss: 0.549851, acc: 0.671875] [adversarial loss: 0.788054, acc: 0.500000] 18818: [discriminator loss: 0.522270, acc: 0.742188] [adversarial loss: 1.342357, acc: 0.187500] 18819: [discriminator loss: 0.629139, acc: 0.617188] [adversarial loss: 0.864645, acc: 0.468750] 18820: [discriminator loss: 0.560763, acc: 0.671875] [adversarial loss: 1.409380, acc: 0.171875] 18821: [discriminator loss: 0.528071, acc: 0.742188] [adversarial loss: 0.842292, acc: 0.515625] 18822: [discriminator loss: 0.544876, acc: 0.734375] [adversarial loss: 1.079877, acc: 0.375000] 18823: [discriminator loss: 0.512282, acc: 0.742188] [adversarial loss: 1.128934, acc: 0.375000] 18824: [discriminator loss: 0.560051, acc: 0.648438] [adversarial loss: 1.350878, acc: 0.218750] 18825: [discriminator loss: 0.560871, acc: 0.710938] [adversarial loss: 1.174345, acc: 0.187500] 18826: [discriminator loss: 0.552181, acc: 0.734375] [adversarial loss: 1.324850, acc: 0.140625] 18827: [discriminator loss: 0.536442, acc: 0.750000] [adversarial loss: 0.978573, acc: 0.296875] 18828: [discriminator loss: 0.589235, acc: 0.664062] [adversarial loss: 1.463384, acc: 0.156250] 18829: [discriminator loss: 0.594507, acc: 0.695312] [adversarial loss: 0.804060, acc: 0.531250] 18830: [discriminator loss: 0.631291, acc: 0.679688] [adversarial loss: 1.705897, acc: 0.062500] 18831: [discriminator loss: 0.595139, acc: 0.687500] [adversarial loss: 0.712655, acc: 0.562500] 18832: [discriminator loss: 0.574986, acc: 0.679688] [adversarial loss: 1.533145, acc: 0.046875] 18833: [discriminator loss: 0.655518, acc: 0.671875] [adversarial loss: 0.763562, acc: 0.531250] 18834: [discriminator loss: 0.543712, acc: 0.664062] [adversarial loss: 1.267898, acc: 0.187500] 18835: [discriminator loss: 0.502068, acc: 0.734375] [adversarial loss: 0.843895, acc: 0.421875] 18836: [discriminator loss: 0.540116, acc: 0.718750] [adversarial loss: 1.042536, acc: 0.359375] 18837: [discriminator loss: 0.602233, acc: 0.664062] [adversarial loss: 1.090992, acc: 0.203125] 18838: [discriminator loss: 0.494658, acc: 0.750000] [adversarial loss: 1.047413, acc: 0.406250] 18839: [discriminator loss: 0.592801, acc: 0.679688] [adversarial loss: 1.098707, acc: 0.359375] 18840: [discriminator loss: 0.461352, acc: 0.789062] [adversarial loss: 0.904979, acc: 0.421875] 18841: [discriminator loss: 0.530984, acc: 0.695312] [adversarial loss: 1.479909, acc: 0.093750] 18842: [discriminator loss: 0.551944, acc: 0.687500] [adversarial loss: 0.715461, acc: 0.531250] 18843: [discriminator loss: 0.602313, acc: 0.695312] [adversarial loss: 1.369079, acc: 0.171875] 18844: [discriminator loss: 0.557745, acc: 0.679688] [adversarial loss: 1.168260, acc: 0.265625] 18845: [discriminator loss: 0.541805, acc: 0.718750] [adversarial loss: 1.041914, acc: 0.296875] 18846: [discriminator loss: 0.638897, acc: 0.640625] [adversarial loss: 1.150361, acc: 0.218750] 18847: [discriminator loss: 0.529687, acc: 0.710938] [adversarial loss: 0.962507, acc: 0.390625] 18848: [discriminator loss: 0.480328, acc: 0.781250] [adversarial loss: 1.171329, acc: 0.312500] 18849: [discriminator loss: 0.499456, acc: 0.781250] [adversarial loss: 1.098477, acc: 0.312500] 18850: [discriminator loss: 0.529378, acc: 0.742188] [adversarial loss: 1.139535, acc: 0.296875] 18851: [discriminator loss: 0.471065, acc: 0.742188] [adversarial loss: 1.097112, acc: 0.359375] 18852: [discriminator loss: 0.563695, acc: 0.703125] [adversarial loss: 1.142286, acc: 0.265625] 18853: [discriminator loss: 0.548311, acc: 0.703125] [adversarial loss: 1.308342, acc: 0.140625] 18854: [discriminator loss: 0.543709, acc: 0.703125] [adversarial loss: 1.088704, acc: 0.328125] 18855: [discriminator loss: 0.593448, acc: 0.742188] [adversarial loss: 1.211384, acc: 0.250000] 18856: [discriminator loss: 0.530953, acc: 0.718750] [adversarial loss: 0.972695, acc: 0.375000] 18857: [discriminator loss: 0.488757, acc: 0.757812] [adversarial loss: 1.406306, acc: 0.109375] 18858: [discriminator loss: 0.508319, acc: 0.718750] [adversarial loss: 0.922302, acc: 0.437500] 18859: [discriminator loss: 0.654089, acc: 0.664062] [adversarial loss: 1.827896, acc: 0.125000] 18860: [discriminator loss: 0.615798, acc: 0.625000] [adversarial loss: 0.920298, acc: 0.406250] 18861: [discriminator loss: 0.572342, acc: 0.695312] [adversarial loss: 1.506380, acc: 0.125000] 18862: [discriminator loss: 0.581409, acc: 0.679688] [adversarial loss: 0.766430, acc: 0.500000] 18863: [discriminator loss: 0.585086, acc: 0.664062] [adversarial loss: 1.475991, acc: 0.078125] 18864: [discriminator loss: 0.566853, acc: 0.617188] [adversarial loss: 1.116550, acc: 0.328125] 18865: [discriminator loss: 0.485916, acc: 0.750000] [adversarial loss: 1.324993, acc: 0.171875] 18866: [discriminator loss: 0.572324, acc: 0.742188] [adversarial loss: 0.983302, acc: 0.328125] 18867: [discriminator loss: 0.543369, acc: 0.734375] [adversarial loss: 1.329906, acc: 0.234375] 18868: [discriminator loss: 0.531231, acc: 0.695312] [adversarial loss: 1.029533, acc: 0.421875] 18869: [discriminator loss: 0.472959, acc: 0.765625] [adversarial loss: 1.137150, acc: 0.218750] 18870: [discriminator loss: 0.534341, acc: 0.703125] [adversarial loss: 1.175896, acc: 0.265625] 18871: [discriminator loss: 0.581143, acc: 0.671875] [adversarial loss: 0.955533, acc: 0.437500] 18872: [discriminator loss: 0.566394, acc: 0.687500] [adversarial loss: 1.238500, acc: 0.218750] 18873: [discriminator loss: 0.549565, acc: 0.703125] [adversarial loss: 0.852695, acc: 0.546875] 18874: [discriminator loss: 0.622860, acc: 0.640625] [adversarial loss: 1.292055, acc: 0.140625] 18875: [discriminator loss: 0.553968, acc: 0.695312] [adversarial loss: 0.905043, acc: 0.484375] 18876: [discriminator loss: 0.535493, acc: 0.773438] [adversarial loss: 1.332968, acc: 0.156250] 18877: [discriminator loss: 0.471345, acc: 0.796875] [adversarial loss: 1.008229, acc: 0.343750] 18878: [discriminator loss: 0.586788, acc: 0.664062] [adversarial loss: 1.821892, acc: 0.000000] 18879: [discriminator loss: 0.652045, acc: 0.632812] [adversarial loss: 0.670325, acc: 0.578125] 18880: [discriminator loss: 0.564162, acc: 0.703125] [adversarial loss: 1.471546, acc: 0.171875] 18881: [discriminator loss: 0.659662, acc: 0.593750] [adversarial loss: 0.920105, acc: 0.390625] 18882: [discriminator loss: 0.553120, acc: 0.687500] [adversarial loss: 1.320960, acc: 0.156250] 18883: [discriminator loss: 0.518124, acc: 0.718750] [adversarial loss: 1.088212, acc: 0.250000] 18884: [discriminator loss: 0.482713, acc: 0.773438] [adversarial loss: 0.873444, acc: 0.421875] 18885: [discriminator loss: 0.569427, acc: 0.734375] [adversarial loss: 1.355469, acc: 0.187500] 18886: [discriminator loss: 0.522713, acc: 0.765625] [adversarial loss: 0.943556, acc: 0.359375] 18887: [discriminator loss: 0.571159, acc: 0.679688] [adversarial loss: 1.264745, acc: 0.125000] 18888: [discriminator loss: 0.581463, acc: 0.664062] [adversarial loss: 0.879858, acc: 0.484375] 18889: [discriminator loss: 0.512927, acc: 0.781250] [adversarial loss: 1.385664, acc: 0.125000] 18890: [discriminator loss: 0.634866, acc: 0.609375] [adversarial loss: 1.068680, acc: 0.296875] 18891: [discriminator loss: 0.540310, acc: 0.703125] [adversarial loss: 1.075783, acc: 0.296875] 18892: [discriminator loss: 0.605854, acc: 0.664062] [adversarial loss: 1.054472, acc: 0.328125] 18893: [discriminator loss: 0.516410, acc: 0.695312] [adversarial loss: 1.057750, acc: 0.312500] 18894: [discriminator loss: 0.526300, acc: 0.734375] [adversarial loss: 1.225395, acc: 0.203125] 18895: [discriminator loss: 0.607398, acc: 0.609375] [adversarial loss: 1.015628, acc: 0.296875] 18896: [discriminator loss: 0.499854, acc: 0.765625] [adversarial loss: 1.353173, acc: 0.171875] 18897: [discriminator loss: 0.642633, acc: 0.625000] [adversarial loss: 0.894181, acc: 0.375000] 18898: [discriminator loss: 0.596979, acc: 0.656250] [adversarial loss: 1.429508, acc: 0.109375] 18899: [discriminator loss: 0.567658, acc: 0.703125] [adversarial loss: 0.975599, acc: 0.359375] 18900: [discriminator loss: 0.608540, acc: 0.703125] [adversarial loss: 1.393510, acc: 0.140625] 18901: [discriminator loss: 0.497241, acc: 0.710938] [adversarial loss: 0.886907, acc: 0.484375] 18902: [discriminator loss: 0.606847, acc: 0.656250] [adversarial loss: 1.433018, acc: 0.203125] 18903: [discriminator loss: 0.562286, acc: 0.757812] [adversarial loss: 0.814733, acc: 0.437500] 18904: [discriminator loss: 0.543096, acc: 0.734375] [adversarial loss: 1.155443, acc: 0.312500] 18905: [discriminator loss: 0.532888, acc: 0.726562] [adversarial loss: 1.016934, acc: 0.375000] 18906: [discriminator loss: 0.593262, acc: 0.687500] [adversarial loss: 1.392929, acc: 0.109375] 18907: [discriminator loss: 0.498390, acc: 0.742188] [adversarial loss: 1.018579, acc: 0.343750] 18908: [discriminator loss: 0.583075, acc: 0.687500] [adversarial loss: 1.500450, acc: 0.093750] 18909: [discriminator loss: 0.574969, acc: 0.671875] [adversarial loss: 0.892730, acc: 0.437500] 18910: [discriminator loss: 0.577979, acc: 0.656250] [adversarial loss: 1.202124, acc: 0.234375] 18911: [discriminator loss: 0.552848, acc: 0.687500] [adversarial loss: 1.310940, acc: 0.234375] 18912: [discriminator loss: 0.454902, acc: 0.828125] [adversarial loss: 0.995568, acc: 0.500000] 18913: [discriminator loss: 0.456693, acc: 0.781250] [adversarial loss: 1.396482, acc: 0.203125] 18914: [discriminator loss: 0.524810, acc: 0.687500] [adversarial loss: 1.036299, acc: 0.375000] 18915: [discriminator loss: 0.448552, acc: 0.804688] [adversarial loss: 1.415532, acc: 0.187500] 18916: [discriminator loss: 0.473273, acc: 0.765625] [adversarial loss: 1.064593, acc: 0.359375] 18917: [discriminator loss: 0.481943, acc: 0.726562] [adversarial loss: 1.212938, acc: 0.250000] 18918: [discriminator loss: 0.542899, acc: 0.679688] [adversarial loss: 0.919332, acc: 0.390625] 18919: [discriminator loss: 0.566132, acc: 0.710938] [adversarial loss: 1.147209, acc: 0.250000] 18920: [discriminator loss: 0.549970, acc: 0.750000] [adversarial loss: 0.909562, acc: 0.390625] 18921: [discriminator loss: 0.624516, acc: 0.664062] [adversarial loss: 1.562532, acc: 0.093750] 18922: [discriminator loss: 0.487039, acc: 0.750000] [adversarial loss: 0.944683, acc: 0.359375] 18923: [discriminator loss: 0.502695, acc: 0.734375] [adversarial loss: 1.568586, acc: 0.125000] 18924: [discriminator loss: 0.539877, acc: 0.687500] [adversarial loss: 0.877090, acc: 0.406250] 18925: [discriminator loss: 0.535705, acc: 0.718750] [adversarial loss: 1.074921, acc: 0.281250] 18926: [discriminator loss: 0.520216, acc: 0.726562] [adversarial loss: 0.853580, acc: 0.453125] 18927: [discriminator loss: 0.599426, acc: 0.625000] [adversarial loss: 1.617169, acc: 0.125000] 18928: [discriminator loss: 0.614395, acc: 0.656250] [adversarial loss: 0.953331, acc: 0.453125] 18929: [discriminator loss: 0.593531, acc: 0.671875] [adversarial loss: 1.345824, acc: 0.156250] 18930: [discriminator loss: 0.587010, acc: 0.664062] [adversarial loss: 0.703542, acc: 0.562500] 18931: [discriminator loss: 0.608800, acc: 0.664062] [adversarial loss: 1.550474, acc: 0.093750] 18932: [discriminator loss: 0.549175, acc: 0.710938] [adversarial loss: 0.781161, acc: 0.609375] 18933: [discriminator loss: 0.588141, acc: 0.703125] [adversarial loss: 1.518534, acc: 0.156250] 18934: [discriminator loss: 0.613278, acc: 0.625000] [adversarial loss: 0.748414, acc: 0.546875] 18935: [discriminator loss: 0.522030, acc: 0.765625] [adversarial loss: 1.363000, acc: 0.250000] 18936: [discriminator loss: 0.556836, acc: 0.695312] [adversarial loss: 1.238328, acc: 0.218750] 18937: [discriminator loss: 0.545586, acc: 0.703125] [adversarial loss: 0.981672, acc: 0.406250] 18938: [discriminator loss: 0.575754, acc: 0.687500] [adversarial loss: 1.157146, acc: 0.234375] 18939: [discriminator loss: 0.575998, acc: 0.679688] [adversarial loss: 1.032135, acc: 0.296875] 18940: [discriminator loss: 0.563736, acc: 0.710938] [adversarial loss: 1.309234, acc: 0.156250] 18941: [discriminator loss: 0.529510, acc: 0.703125] [adversarial loss: 1.187797, acc: 0.250000] 18942: [discriminator loss: 0.465510, acc: 0.812500] [adversarial loss: 1.357301, acc: 0.171875] 18943: [discriminator loss: 0.591260, acc: 0.648438] [adversarial loss: 0.850059, acc: 0.546875] 18944: [discriminator loss: 0.509561, acc: 0.734375] [adversarial loss: 1.403501, acc: 0.187500] 18945: [discriminator loss: 0.613603, acc: 0.656250] [adversarial loss: 0.885895, acc: 0.468750] 18946: [discriminator loss: 0.601076, acc: 0.687500] [adversarial loss: 1.263998, acc: 0.171875] 18947: [discriminator loss: 0.482739, acc: 0.757812] [adversarial loss: 0.930683, acc: 0.375000] 18948: [discriminator loss: 0.489762, acc: 0.703125] [adversarial loss: 1.333301, acc: 0.296875] 18949: [discriminator loss: 0.667432, acc: 0.609375] [adversarial loss: 0.902224, acc: 0.359375] 18950: [discriminator loss: 0.533396, acc: 0.726562] [adversarial loss: 1.269586, acc: 0.203125] 18951: [discriminator loss: 0.596657, acc: 0.648438] [adversarial loss: 1.021831, acc: 0.421875] 18952: [discriminator loss: 0.533392, acc: 0.757812] [adversarial loss: 1.528599, acc: 0.078125] 18953: [discriminator loss: 0.630499, acc: 0.664062] [adversarial loss: 1.001442, acc: 0.343750] 18954: [discriminator loss: 0.526628, acc: 0.742188] [adversarial loss: 1.172981, acc: 0.218750] 18955: [discriminator loss: 0.508637, acc: 0.742188] [adversarial loss: 1.196392, acc: 0.312500] 18956: [discriminator loss: 0.500718, acc: 0.750000] [adversarial loss: 1.170310, acc: 0.218750] 18957: [discriminator loss: 0.535931, acc: 0.742188] [adversarial loss: 0.996828, acc: 0.343750] 18958: [discriminator loss: 0.584138, acc: 0.679688] [adversarial loss: 1.329351, acc: 0.187500] 18959: [discriminator loss: 0.528570, acc: 0.726562] [adversarial loss: 1.112084, acc: 0.296875] 18960: [discriminator loss: 0.535430, acc: 0.726562] [adversarial loss: 1.347867, acc: 0.140625] 18961: [discriminator loss: 0.614285, acc: 0.632812] [adversarial loss: 1.102355, acc: 0.281250] 18962: [discriminator loss: 0.636513, acc: 0.632812] [adversarial loss: 1.290399, acc: 0.203125] 18963: [discriminator loss: 0.531570, acc: 0.750000] [adversarial loss: 1.346668, acc: 0.187500] 18964: [discriminator loss: 0.589514, acc: 0.695312] [adversarial loss: 0.988881, acc: 0.328125] 18965: [discriminator loss: 0.537407, acc: 0.726562] [adversarial loss: 1.474080, acc: 0.125000] 18966: [discriminator loss: 0.543250, acc: 0.695312] [adversarial loss: 0.902028, acc: 0.468750] 18967: [discriminator loss: 0.579584, acc: 0.679688] [adversarial loss: 1.538207, acc: 0.140625] 18968: [discriminator loss: 0.531160, acc: 0.750000] [adversarial loss: 1.019704, acc: 0.343750] 18969: [discriminator loss: 0.596537, acc: 0.687500] [adversarial loss: 1.428915, acc: 0.125000] 18970: [discriminator loss: 0.623670, acc: 0.648438] [adversarial loss: 1.047931, acc: 0.296875] 18971: [discriminator loss: 0.627920, acc: 0.664062] [adversarial loss: 1.173818, acc: 0.203125] 18972: [discriminator loss: 0.528706, acc: 0.734375] [adversarial loss: 1.238672, acc: 0.234375] 18973: [discriminator loss: 0.583694, acc: 0.656250] [adversarial loss: 1.042013, acc: 0.343750] 18974: [discriminator loss: 0.539367, acc: 0.765625] [adversarial loss: 1.420923, acc: 0.171875] 18975: [discriminator loss: 0.558131, acc: 0.718750] [adversarial loss: 0.902295, acc: 0.421875] 18976: [discriminator loss: 0.558328, acc: 0.742188] [adversarial loss: 1.271918, acc: 0.203125] 18977: [discriminator loss: 0.538312, acc: 0.718750] [adversarial loss: 1.137206, acc: 0.265625] 18978: [discriminator loss: 0.543699, acc: 0.671875] [adversarial loss: 0.980026, acc: 0.312500] 18979: [discriminator loss: 0.633860, acc: 0.664062] [adversarial loss: 1.614174, acc: 0.078125] 18980: [discriminator loss: 0.533876, acc: 0.710938] [adversarial loss: 0.779523, acc: 0.468750] 18981: [discriminator loss: 0.555002, acc: 0.734375] [adversarial loss: 1.426718, acc: 0.171875] 18982: [discriminator loss: 0.535385, acc: 0.703125] [adversarial loss: 0.929183, acc: 0.406250] 18983: [discriminator loss: 0.593803, acc: 0.671875] [adversarial loss: 1.498804, acc: 0.140625] 18984: [discriminator loss: 0.625451, acc: 0.601562] [adversarial loss: 0.820213, acc: 0.515625] 18985: [discriminator loss: 0.565111, acc: 0.679688] [adversarial loss: 1.330988, acc: 0.203125] 18986: [discriminator loss: 0.557203, acc: 0.726562] [adversarial loss: 1.128386, acc: 0.234375] 18987: [discriminator loss: 0.563923, acc: 0.734375] [adversarial loss: 1.125068, acc: 0.250000] 18988: [discriminator loss: 0.526344, acc: 0.750000] [adversarial loss: 1.040938, acc: 0.281250] 18989: [discriminator loss: 0.548170, acc: 0.734375] [adversarial loss: 1.377490, acc: 0.171875] 18990: [discriminator loss: 0.582369, acc: 0.695312] [adversarial loss: 0.991019, acc: 0.390625] 18991: [discriminator loss: 0.574962, acc: 0.703125] [adversarial loss: 1.262738, acc: 0.218750] 18992: [discriminator loss: 0.517301, acc: 0.757812] [adversarial loss: 0.924765, acc: 0.390625] 18993: [discriminator loss: 0.571853, acc: 0.687500] [adversarial loss: 1.739671, acc: 0.078125] 18994: [discriminator loss: 0.592654, acc: 0.695312] [adversarial loss: 0.950276, acc: 0.390625] 18995: [discriminator loss: 0.560939, acc: 0.703125] [adversarial loss: 1.398602, acc: 0.156250] 18996: [discriminator loss: 0.593551, acc: 0.664062] [adversarial loss: 0.933783, acc: 0.468750] 18997: [discriminator loss: 0.605763, acc: 0.664062] [adversarial loss: 1.376652, acc: 0.171875] 18998: [discriminator loss: 0.642744, acc: 0.679688] [adversarial loss: 0.870931, acc: 0.421875] 18999: [discriminator loss: 0.574999, acc: 0.687500] [adversarial loss: 1.674732, acc: 0.093750] 19000: [discriminator loss: 0.584648, acc: 0.648438] [adversarial loss: 1.110514, acc: 0.296875] 19001: [discriminator loss: 0.534671, acc: 0.703125] [adversarial loss: 1.125224, acc: 0.265625] 19002: [discriminator loss: 0.490132, acc: 0.820312] [adversarial loss: 1.340160, acc: 0.125000] 19003: [discriminator loss: 0.576650, acc: 0.656250] [adversarial loss: 0.996779, acc: 0.312500] 19004: [discriminator loss: 0.612271, acc: 0.648438] [adversarial loss: 1.170635, acc: 0.187500] 19005: [discriminator loss: 0.542897, acc: 0.757812] [adversarial loss: 1.256800, acc: 0.109375] 19006: [discriminator loss: 0.490896, acc: 0.781250] [adversarial loss: 1.155601, acc: 0.218750] 19007: [discriminator loss: 0.557430, acc: 0.679688] [adversarial loss: 1.038421, acc: 0.312500] 19008: [discriminator loss: 0.510216, acc: 0.718750] [adversarial loss: 1.375630, acc: 0.203125] 19009: [discriminator loss: 0.566996, acc: 0.703125] [adversarial loss: 0.984655, acc: 0.406250] 19010: [discriminator loss: 0.568852, acc: 0.703125] [adversarial loss: 1.450238, acc: 0.109375] 19011: [discriminator loss: 0.560457, acc: 0.671875] [adversarial loss: 0.938957, acc: 0.406250] 19012: [discriminator loss: 0.590541, acc: 0.703125] [adversarial loss: 1.278785, acc: 0.187500] 19013: [discriminator loss: 0.508158, acc: 0.773438] [adversarial loss: 1.088440, acc: 0.281250] 19014: [discriminator loss: 0.568261, acc: 0.710938] [adversarial loss: 0.882271, acc: 0.421875] 19015: [discriminator loss: 0.542305, acc: 0.734375] [adversarial loss: 1.109271, acc: 0.234375] 19016: [discriminator loss: 0.515482, acc: 0.757812] [adversarial loss: 1.036951, acc: 0.437500] 19017: [discriminator loss: 0.610978, acc: 0.656250] [adversarial loss: 1.616818, acc: 0.125000] 19018: [discriminator loss: 0.542143, acc: 0.718750] [adversarial loss: 0.891352, acc: 0.453125] 19019: [discriminator loss: 0.575688, acc: 0.687500] [adversarial loss: 1.426974, acc: 0.203125] 19020: [discriminator loss: 0.546073, acc: 0.687500] [adversarial loss: 0.878208, acc: 0.484375] 19021: [discriminator loss: 0.606997, acc: 0.679688] [adversarial loss: 1.401646, acc: 0.093750] 19022: [discriminator loss: 0.511238, acc: 0.757812] [adversarial loss: 0.736281, acc: 0.593750] 19023: [discriminator loss: 0.600643, acc: 0.625000] [adversarial loss: 1.508074, acc: 0.093750] 19024: [discriminator loss: 0.602054, acc: 0.671875] [adversarial loss: 1.042166, acc: 0.328125] 19025: [discriminator loss: 0.511989, acc: 0.750000] [adversarial loss: 1.314035, acc: 0.140625] 19026: [discriminator loss: 0.490760, acc: 0.773438] [adversarial loss: 0.808414, acc: 0.546875] 19027: [discriminator loss: 0.457872, acc: 0.781250] [adversarial loss: 1.123413, acc: 0.312500] 19028: [discriminator loss: 0.562052, acc: 0.710938] [adversarial loss: 0.961590, acc: 0.375000] 19029: [discriminator loss: 0.503069, acc: 0.765625] [adversarial loss: 0.893220, acc: 0.328125] 19030: [discriminator loss: 0.510519, acc: 0.765625] [adversarial loss: 1.195034, acc: 0.218750] 19031: [discriminator loss: 0.585940, acc: 0.656250] [adversarial loss: 0.950276, acc: 0.406250] 19032: [discriminator loss: 0.593415, acc: 0.656250] [adversarial loss: 1.331268, acc: 0.218750] 19033: [discriminator loss: 0.536606, acc: 0.710938] [adversarial loss: 1.031025, acc: 0.375000] 19034: [discriminator loss: 0.516277, acc: 0.679688] [adversarial loss: 1.506636, acc: 0.156250] 19035: [discriminator loss: 0.603333, acc: 0.671875] [adversarial loss: 1.151527, acc: 0.296875] 19036: [discriminator loss: 0.517728, acc: 0.726562] [adversarial loss: 1.031117, acc: 0.421875] 19037: [discriminator loss: 0.562322, acc: 0.710938] [adversarial loss: 1.294699, acc: 0.171875] 19038: [discriminator loss: 0.529867, acc: 0.742188] [adversarial loss: 0.888436, acc: 0.453125] 19039: [discriminator loss: 0.566350, acc: 0.703125] [adversarial loss: 1.739915, acc: 0.109375] 19040: [discriminator loss: 0.554235, acc: 0.710938] [adversarial loss: 0.789835, acc: 0.546875] 19041: [discriminator loss: 0.585400, acc: 0.703125] [adversarial loss: 1.662012, acc: 0.078125] 19042: [discriminator loss: 0.514178, acc: 0.703125] [adversarial loss: 0.892337, acc: 0.437500] 19043: [discriminator loss: 0.547149, acc: 0.703125] [adversarial loss: 1.240305, acc: 0.218750] 19044: [discriminator loss: 0.579476, acc: 0.671875] [adversarial loss: 1.093678, acc: 0.328125] 19045: [discriminator loss: 0.553113, acc: 0.742188] [adversarial loss: 1.247678, acc: 0.250000] 19046: [discriminator loss: 0.482907, acc: 0.765625] [adversarial loss: 1.315870, acc: 0.234375] 19047: [discriminator loss: 0.437957, acc: 0.796875] [adversarial loss: 1.154510, acc: 0.328125] 19048: [discriminator loss: 0.559528, acc: 0.671875] [adversarial loss: 1.378266, acc: 0.203125] 19049: [discriminator loss: 0.591740, acc: 0.656250] [adversarial loss: 0.864212, acc: 0.484375] 19050: [discriminator loss: 0.605729, acc: 0.734375] [adversarial loss: 1.451078, acc: 0.093750] 19051: [discriminator loss: 0.582678, acc: 0.664062] [adversarial loss: 0.883088, acc: 0.359375] 19052: [discriminator loss: 0.533131, acc: 0.687500] [adversarial loss: 1.365011, acc: 0.218750] 19053: [discriminator loss: 0.536296, acc: 0.718750] [adversarial loss: 1.153520, acc: 0.265625] 19054: [discriminator loss: 0.536557, acc: 0.656250] [adversarial loss: 0.878978, acc: 0.421875] 19055: [discriminator loss: 0.519746, acc: 0.765625] [adversarial loss: 1.301628, acc: 0.265625] 19056: [discriminator loss: 0.578773, acc: 0.679688] [adversarial loss: 0.779646, acc: 0.531250] 19057: [discriminator loss: 0.561157, acc: 0.710938] [adversarial loss: 1.386651, acc: 0.140625] 19058: [discriminator loss: 0.499730, acc: 0.750000] [adversarial loss: 1.001717, acc: 0.359375] 19059: [discriminator loss: 0.609654, acc: 0.609375] [adversarial loss: 1.383664, acc: 0.218750] 19060: [discriminator loss: 0.466578, acc: 0.789062] [adversarial loss: 1.112383, acc: 0.296875] 19061: [discriminator loss: 0.579172, acc: 0.632812] [adversarial loss: 1.195162, acc: 0.234375] 19062: [discriminator loss: 0.515936, acc: 0.726562] [adversarial loss: 1.166909, acc: 0.187500] 19063: [discriminator loss: 0.531511, acc: 0.718750] [adversarial loss: 1.390039, acc: 0.156250] 19064: [discriminator loss: 0.573771, acc: 0.671875] [adversarial loss: 0.953998, acc: 0.359375] 19065: [discriminator loss: 0.510889, acc: 0.742188] [adversarial loss: 1.399670, acc: 0.203125] 19066: [discriminator loss: 0.603455, acc: 0.679688] [adversarial loss: 0.898183, acc: 0.484375] 19067: [discriminator loss: 0.537201, acc: 0.695312] [adversarial loss: 1.159341, acc: 0.250000] 19068: [discriminator loss: 0.539381, acc: 0.718750] [adversarial loss: 0.995211, acc: 0.328125] 19069: [discriminator loss: 0.620006, acc: 0.640625] [adversarial loss: 1.349699, acc: 0.187500] 19070: [discriminator loss: 0.525124, acc: 0.687500] [adversarial loss: 1.293619, acc: 0.171875] 19071: [discriminator loss: 0.536222, acc: 0.671875] [adversarial loss: 1.126222, acc: 0.234375] 19072: [discriminator loss: 0.499976, acc: 0.765625] [adversarial loss: 0.833202, acc: 0.468750] 19073: [discriminator loss: 0.573972, acc: 0.679688] [adversarial loss: 1.720109, acc: 0.125000] 19074: [discriminator loss: 0.567897, acc: 0.687500] [adversarial loss: 0.810245, acc: 0.421875] 19075: [discriminator loss: 0.557894, acc: 0.726562] [adversarial loss: 1.480251, acc: 0.062500] 19076: [discriminator loss: 0.471509, acc: 0.750000] [adversarial loss: 0.984362, acc: 0.312500] 19077: [discriminator loss: 0.497255, acc: 0.734375] [adversarial loss: 1.455979, acc: 0.093750] 19078: [discriminator loss: 0.489323, acc: 0.765625] [adversarial loss: 0.869460, acc: 0.390625] 19079: [discriminator loss: 0.571095, acc: 0.718750] [adversarial loss: 1.401642, acc: 0.218750] 19080: [discriminator loss: 0.602667, acc: 0.656250] [adversarial loss: 0.798575, acc: 0.484375] 19081: [discriminator loss: 0.515113, acc: 0.710938] [adversarial loss: 1.820689, acc: 0.093750] 19082: [discriminator loss: 0.565605, acc: 0.664062] [adversarial loss: 1.173353, acc: 0.296875] 19083: [discriminator loss: 0.557471, acc: 0.734375] [adversarial loss: 1.059778, acc: 0.234375] 19084: [discriminator loss: 0.509458, acc: 0.710938] [adversarial loss: 1.261333, acc: 0.156250] 19085: [discriminator loss: 0.526935, acc: 0.734375] [adversarial loss: 1.049694, acc: 0.281250] 19086: [discriminator loss: 0.495539, acc: 0.773438] [adversarial loss: 1.364482, acc: 0.203125] 19087: [discriminator loss: 0.491165, acc: 0.757812] [adversarial loss: 0.957065, acc: 0.406250] 19088: [discriminator loss: 0.525861, acc: 0.703125] [adversarial loss: 1.561663, acc: 0.140625] 19089: [discriminator loss: 0.572169, acc: 0.703125] [adversarial loss: 0.824545, acc: 0.515625] 19090: [discriminator loss: 0.599318, acc: 0.664062] [adversarial loss: 1.573953, acc: 0.093750] 19091: [discriminator loss: 0.584050, acc: 0.648438] [adversarial loss: 1.199146, acc: 0.296875] 19092: [discriminator loss: 0.497177, acc: 0.695312] [adversarial loss: 1.135758, acc: 0.281250] 19093: [discriminator loss: 0.534301, acc: 0.718750] [adversarial loss: 1.258695, acc: 0.234375] 19094: [discriminator loss: 0.616504, acc: 0.656250] [adversarial loss: 1.115993, acc: 0.281250] 19095: [discriminator loss: 0.503865, acc: 0.750000] [adversarial loss: 1.143947, acc: 0.265625] 19096: [discriminator loss: 0.615629, acc: 0.585938] [adversarial loss: 1.308722, acc: 0.187500] 19097: [discriminator loss: 0.490186, acc: 0.773438] [adversarial loss: 1.051862, acc: 0.328125] 19098: [discriminator loss: 0.500906, acc: 0.734375] [adversarial loss: 1.270404, acc: 0.281250] 19099: [discriminator loss: 0.513534, acc: 0.765625] [adversarial loss: 1.035028, acc: 0.312500] 19100: [discriminator loss: 0.528335, acc: 0.742188] [adversarial loss: 1.118573, acc: 0.296875] 19101: [discriminator loss: 0.501959, acc: 0.757812] [adversarial loss: 1.272364, acc: 0.140625] 19102: [discriminator loss: 0.578502, acc: 0.664062] [adversarial loss: 1.067294, acc: 0.343750] 19103: [discriminator loss: 0.571001, acc: 0.742188] [adversarial loss: 1.473048, acc: 0.125000] 19104: [discriminator loss: 0.582354, acc: 0.671875] [adversarial loss: 0.902036, acc: 0.390625] 19105: [discriminator loss: 0.531190, acc: 0.726562] [adversarial loss: 1.449302, acc: 0.125000] 19106: [discriminator loss: 0.531758, acc: 0.687500] [adversarial loss: 0.717805, acc: 0.625000] 19107: [discriminator loss: 0.550321, acc: 0.664062] [adversarial loss: 1.523772, acc: 0.078125] 19108: [discriminator loss: 0.574204, acc: 0.664062] [adversarial loss: 0.989769, acc: 0.421875] 19109: [discriminator loss: 0.449687, acc: 0.835938] [adversarial loss: 1.387744, acc: 0.156250] 19110: [discriminator loss: 0.682558, acc: 0.539062] [adversarial loss: 0.826411, acc: 0.484375] 19111: [discriminator loss: 0.588235, acc: 0.617188] [adversarial loss: 1.456727, acc: 0.140625] 19112: [discriminator loss: 0.571045, acc: 0.695312] [adversarial loss: 0.939534, acc: 0.421875] 19113: [discriminator loss: 0.621044, acc: 0.656250] [adversarial loss: 1.369499, acc: 0.171875] 19114: [discriminator loss: 0.573764, acc: 0.695312] [adversarial loss: 1.018307, acc: 0.281250] 19115: [discriminator loss: 0.517728, acc: 0.710938] [adversarial loss: 1.066505, acc: 0.296875] 19116: [discriminator loss: 0.553664, acc: 0.726562] [adversarial loss: 1.127378, acc: 0.203125] 19117: [discriminator loss: 0.553924, acc: 0.703125] [adversarial loss: 1.457278, acc: 0.125000] 19118: [discriminator loss: 0.508899, acc: 0.750000] [adversarial loss: 0.856816, acc: 0.421875] 19119: [discriminator loss: 0.563270, acc: 0.679688] [adversarial loss: 1.457383, acc: 0.171875] 19120: [discriminator loss: 0.602446, acc: 0.679688] [adversarial loss: 1.103995, acc: 0.265625] 19121: [discriminator loss: 0.584559, acc: 0.671875] [adversarial loss: 1.221022, acc: 0.156250] 19122: [discriminator loss: 0.524094, acc: 0.750000] [adversarial loss: 1.431487, acc: 0.125000] 19123: [discriminator loss: 0.517869, acc: 0.750000] [adversarial loss: 1.050163, acc: 0.375000] 19124: [discriminator loss: 0.581009, acc: 0.703125] [adversarial loss: 1.424533, acc: 0.171875] 19125: [discriminator loss: 0.679756, acc: 0.578125] [adversarial loss: 0.720593, acc: 0.546875] 19126: [discriminator loss: 0.578362, acc: 0.679688] [adversarial loss: 1.588939, acc: 0.078125] 19127: [discriminator loss: 0.521462, acc: 0.695312] [adversarial loss: 1.153231, acc: 0.250000] 19128: [discriminator loss: 0.520984, acc: 0.679688] [adversarial loss: 1.535793, acc: 0.140625] 19129: [discriminator loss: 0.519272, acc: 0.695312] [adversarial loss: 0.916064, acc: 0.437500] 19130: [discriminator loss: 0.538947, acc: 0.703125] [adversarial loss: 1.351649, acc: 0.140625] 19131: [discriminator loss: 0.556518, acc: 0.687500] [adversarial loss: 1.250061, acc: 0.140625] 19132: [discriminator loss: 0.505429, acc: 0.718750] [adversarial loss: 1.139542, acc: 0.281250] 19133: [discriminator loss: 0.540951, acc: 0.734375] [adversarial loss: 1.406718, acc: 0.156250] 19134: [discriminator loss: 0.514067, acc: 0.710938] [adversarial loss: 0.972930, acc: 0.359375] 19135: [discriminator loss: 0.599863, acc: 0.671875] [adversarial loss: 1.471789, acc: 0.171875] 19136: [discriminator loss: 0.583422, acc: 0.695312] [adversarial loss: 1.066692, acc: 0.265625] 19137: [discriminator loss: 0.514223, acc: 0.742188] [adversarial loss: 1.023092, acc: 0.359375] 19138: [discriminator loss: 0.535142, acc: 0.750000] [adversarial loss: 1.384194, acc: 0.171875] 19139: [discriminator loss: 0.515257, acc: 0.726562] [adversarial loss: 1.123875, acc: 0.312500] 19140: [discriminator loss: 0.560056, acc: 0.750000] [adversarial loss: 1.123931, acc: 0.250000] 19141: [discriminator loss: 0.525213, acc: 0.718750] [adversarial loss: 1.032006, acc: 0.359375] 19142: [discriminator loss: 0.551709, acc: 0.710938] [adversarial loss: 1.310150, acc: 0.171875] 19143: [discriminator loss: 0.550605, acc: 0.695312] [adversarial loss: 0.989800, acc: 0.406250] 19144: [discriminator loss: 0.586588, acc: 0.625000] [adversarial loss: 1.565573, acc: 0.109375] 19145: [discriminator loss: 0.521587, acc: 0.718750] [adversarial loss: 1.259577, acc: 0.250000] 19146: [discriminator loss: 0.523458, acc: 0.757812] [adversarial loss: 1.313533, acc: 0.187500] 19147: [discriminator loss: 0.589815, acc: 0.695312] [adversarial loss: 1.006136, acc: 0.343750] 19148: [discriminator loss: 0.589836, acc: 0.695312] [adversarial loss: 0.945139, acc: 0.421875] 19149: [discriminator loss: 0.620538, acc: 0.679688] [adversarial loss: 1.408868, acc: 0.125000] 19150: [discriminator loss: 0.570918, acc: 0.679688] [adversarial loss: 0.757277, acc: 0.609375] 19151: [discriminator loss: 0.556102, acc: 0.710938] [adversarial loss: 1.727133, acc: 0.078125] 19152: [discriminator loss: 0.538035, acc: 0.679688] [adversarial loss: 0.776117, acc: 0.562500] 19153: [discriminator loss: 0.642727, acc: 0.687500] [adversarial loss: 1.524863, acc: 0.093750] 19154: [discriminator loss: 0.644264, acc: 0.656250] [adversarial loss: 0.934793, acc: 0.328125] 19155: [discriminator loss: 0.517271, acc: 0.726562] [adversarial loss: 1.346181, acc: 0.187500] 19156: [discriminator loss: 0.552508, acc: 0.703125] [adversarial loss: 0.761571, acc: 0.546875] 19157: [discriminator loss: 0.613516, acc: 0.640625] [adversarial loss: 1.230584, acc: 0.171875] 19158: [discriminator loss: 0.548339, acc: 0.687500] [adversarial loss: 0.930225, acc: 0.375000] 19159: [discriminator loss: 0.541961, acc: 0.726562] [adversarial loss: 1.312592, acc: 0.218750] 19160: [discriminator loss: 0.517271, acc: 0.726562] [adversarial loss: 1.168684, acc: 0.218750] 19161: [discriminator loss: 0.501911, acc: 0.718750] [adversarial loss: 1.479920, acc: 0.171875] 19162: [discriminator loss: 0.567985, acc: 0.671875] [adversarial loss: 0.924136, acc: 0.437500] 19163: [discriminator loss: 0.591245, acc: 0.664062] [adversarial loss: 1.396690, acc: 0.171875] 19164: [discriminator loss: 0.548859, acc: 0.718750] [adversarial loss: 0.960152, acc: 0.343750] 19165: [discriminator loss: 0.524175, acc: 0.742188] [adversarial loss: 1.151096, acc: 0.296875] 19166: [discriminator loss: 0.517130, acc: 0.734375] [adversarial loss: 1.260751, acc: 0.156250] 19167: [discriminator loss: 0.518855, acc: 0.718750] [adversarial loss: 1.053511, acc: 0.375000] 19168: [discriminator loss: 0.537961, acc: 0.718750] [adversarial loss: 1.547598, acc: 0.156250] 19169: [discriminator loss: 0.618021, acc: 0.695312] [adversarial loss: 0.741425, acc: 0.531250] 19170: [discriminator loss: 0.626212, acc: 0.656250] [adversarial loss: 1.772675, acc: 0.046875] 19171: [discriminator loss: 0.539617, acc: 0.703125] [adversarial loss: 0.975749, acc: 0.406250] 19172: [discriminator loss: 0.627069, acc: 0.625000] [adversarial loss: 1.304437, acc: 0.140625] 19173: [discriminator loss: 0.486067, acc: 0.765625] [adversarial loss: 1.066655, acc: 0.250000] 19174: [discriminator loss: 0.570838, acc: 0.703125] [adversarial loss: 1.316938, acc: 0.125000] 19175: [discriminator loss: 0.547971, acc: 0.679688] [adversarial loss: 1.104899, acc: 0.281250] 19176: [discriminator loss: 0.517997, acc: 0.703125] [adversarial loss: 1.213091, acc: 0.234375] 19177: [discriminator loss: 0.538832, acc: 0.734375] [adversarial loss: 1.001253, acc: 0.375000] 19178: [discriminator loss: 0.518453, acc: 0.734375] [adversarial loss: 1.376057, acc: 0.093750] 19179: [discriminator loss: 0.526420, acc: 0.710938] [adversarial loss: 0.906265, acc: 0.437500] 19180: [discriminator loss: 0.500535, acc: 0.726562] [adversarial loss: 1.430164, acc: 0.171875] 19181: [discriminator loss: 0.604609, acc: 0.617188] [adversarial loss: 0.851478, acc: 0.421875] 19182: [discriminator loss: 0.603498, acc: 0.664062] [adversarial loss: 1.738419, acc: 0.062500] 19183: [discriminator loss: 0.628127, acc: 0.664062] [adversarial loss: 0.780387, acc: 0.531250] 19184: [discriminator loss: 0.567134, acc: 0.718750] [adversarial loss: 1.553877, acc: 0.078125] 19185: [discriminator loss: 0.563676, acc: 0.695312] [adversarial loss: 0.926288, acc: 0.390625] 19186: [discriminator loss: 0.476793, acc: 0.742188] [adversarial loss: 1.388362, acc: 0.218750] 19187: [discriminator loss: 0.584060, acc: 0.687500] [adversarial loss: 1.004025, acc: 0.406250] 19188: [discriminator loss: 0.572452, acc: 0.664062] [adversarial loss: 1.348869, acc: 0.187500] 19189: [discriminator loss: 0.614047, acc: 0.648438] [adversarial loss: 0.986974, acc: 0.328125] 19190: [discriminator loss: 0.563473, acc: 0.695312] [adversarial loss: 1.551474, acc: 0.046875] 19191: [discriminator loss: 0.536330, acc: 0.718750] [adversarial loss: 0.971435, acc: 0.437500] 19192: [discriminator loss: 0.477505, acc: 0.781250] [adversarial loss: 1.350758, acc: 0.156250] 19193: [discriminator loss: 0.568051, acc: 0.687500] [adversarial loss: 1.138732, acc: 0.281250] 19194: [discriminator loss: 0.510201, acc: 0.757812] [adversarial loss: 1.106141, acc: 0.312500] 19195: [discriminator loss: 0.517746, acc: 0.734375] [adversarial loss: 1.353341, acc: 0.078125] 19196: [discriminator loss: 0.563204, acc: 0.718750] [adversarial loss: 0.820830, acc: 0.562500] 19197: [discriminator loss: 0.503284, acc: 0.773438] [adversarial loss: 1.708770, acc: 0.078125] 19198: [discriminator loss: 0.634476, acc: 0.640625] [adversarial loss: 0.757453, acc: 0.484375] 19199: [discriminator loss: 0.599622, acc: 0.671875] [adversarial loss: 1.352317, acc: 0.156250] 19200: [discriminator loss: 0.569925, acc: 0.687500] [adversarial loss: 0.891186, acc: 0.468750] 19201: [discriminator loss: 0.532074, acc: 0.710938] [adversarial loss: 1.064350, acc: 0.328125] 19202: [discriminator loss: 0.587585, acc: 0.671875] [adversarial loss: 1.034454, acc: 0.265625] 19203: [discriminator loss: 0.487666, acc: 0.796875] [adversarial loss: 1.261172, acc: 0.218750] 19204: [discriminator loss: 0.513453, acc: 0.750000] [adversarial loss: 1.082745, acc: 0.406250] 19205: [discriminator loss: 0.515421, acc: 0.765625] [adversarial loss: 0.939501, acc: 0.437500] 19206: [discriminator loss: 0.519135, acc: 0.718750] [adversarial loss: 1.013940, acc: 0.328125] 19207: [discriminator loss: 0.515679, acc: 0.734375] [adversarial loss: 1.412048, acc: 0.171875] 19208: [discriminator loss: 0.500233, acc: 0.765625] [adversarial loss: 0.809605, acc: 0.468750] 19209: [discriminator loss: 0.515301, acc: 0.765625] [adversarial loss: 1.020851, acc: 0.312500] 19210: [discriminator loss: 0.472682, acc: 0.828125] [adversarial loss: 1.093283, acc: 0.343750] 19211: [discriminator loss: 0.556509, acc: 0.664062] [adversarial loss: 0.810764, acc: 0.515625] 19212: [discriminator loss: 0.557995, acc: 0.703125] [adversarial loss: 1.004403, acc: 0.359375] 19213: [discriminator loss: 0.575791, acc: 0.679688] [adversarial loss: 0.977399, acc: 0.375000] 19214: [discriminator loss: 0.536416, acc: 0.742188] [adversarial loss: 1.331946, acc: 0.234375] 19215: [discriminator loss: 0.547988, acc: 0.742188] [adversarial loss: 1.310457, acc: 0.281250] 19216: [discriminator loss: 0.628739, acc: 0.718750] [adversarial loss: 1.420203, acc: 0.125000] 19217: [discriminator loss: 0.564455, acc: 0.687500] [adversarial loss: 0.874994, acc: 0.500000] 19218: [discriminator loss: 0.577546, acc: 0.664062] [adversarial loss: 1.674702, acc: 0.062500] 19219: [discriminator loss: 0.618039, acc: 0.625000] [adversarial loss: 0.678999, acc: 0.593750] 19220: [discriminator loss: 0.613658, acc: 0.664062] [adversarial loss: 1.593116, acc: 0.109375] 19221: [discriminator loss: 0.539991, acc: 0.718750] [adversarial loss: 1.115954, acc: 0.234375] 19222: [discriminator loss: 0.523605, acc: 0.734375] [adversarial loss: 1.285532, acc: 0.234375] 19223: [discriminator loss: 0.596677, acc: 0.648438] [adversarial loss: 1.173176, acc: 0.265625] 19224: [discriminator loss: 0.498816, acc: 0.726562] [adversarial loss: 0.990601, acc: 0.359375] 19225: [discriminator loss: 0.524995, acc: 0.710938] [adversarial loss: 1.409218, acc: 0.203125] 19226: [discriminator loss: 0.593452, acc: 0.687500] [adversarial loss: 0.779034, acc: 0.562500] 19227: [discriminator loss: 0.613287, acc: 0.609375] [adversarial loss: 1.766400, acc: 0.062500] 19228: [discriminator loss: 0.642787, acc: 0.632812] [adversarial loss: 0.898787, acc: 0.312500] 19229: [discriminator loss: 0.565413, acc: 0.726562] [adversarial loss: 1.552967, acc: 0.140625] 19230: [discriminator loss: 0.575389, acc: 0.664062] [adversarial loss: 0.912497, acc: 0.343750] 19231: [discriminator loss: 0.510241, acc: 0.734375] [adversarial loss: 1.299599, acc: 0.171875] 19232: [discriminator loss: 0.552278, acc: 0.664062] [adversarial loss: 0.934526, acc: 0.343750] 19233: [discriminator loss: 0.490015, acc: 0.781250] [adversarial loss: 1.297337, acc: 0.156250] 19234: [discriminator loss: 0.531442, acc: 0.710938] [adversarial loss: 1.043574, acc: 0.312500] 19235: [discriminator loss: 0.568697, acc: 0.687500] [adversarial loss: 1.309110, acc: 0.265625] 19236: [discriminator loss: 0.552421, acc: 0.703125] [adversarial loss: 1.080457, acc: 0.328125] 19237: [discriminator loss: 0.496784, acc: 0.750000] [adversarial loss: 1.239611, acc: 0.234375] 19238: [discriminator loss: 0.526913, acc: 0.734375] [adversarial loss: 1.084794, acc: 0.265625] 19239: [discriminator loss: 0.536465, acc: 0.703125] [adversarial loss: 1.355547, acc: 0.250000] 19240: [discriminator loss: 0.550328, acc: 0.687500] [adversarial loss: 0.841733, acc: 0.375000] 19241: [discriminator loss: 0.542723, acc: 0.742188] [adversarial loss: 1.627314, acc: 0.140625] 19242: [discriminator loss: 0.486894, acc: 0.757812] [adversarial loss: 0.892074, acc: 0.437500] 19243: [discriminator loss: 0.579824, acc: 0.703125] [adversarial loss: 1.404702, acc: 0.078125] 19244: [discriminator loss: 0.598978, acc: 0.671875] [adversarial loss: 0.910812, acc: 0.421875] 19245: [discriminator loss: 0.581283, acc: 0.734375] [adversarial loss: 1.376473, acc: 0.109375] 19246: [discriminator loss: 0.589848, acc: 0.695312] [adversarial loss: 0.895792, acc: 0.421875] 19247: [discriminator loss: 0.544924, acc: 0.703125] [adversarial loss: 1.192628, acc: 0.281250] 19248: [discriminator loss: 0.534431, acc: 0.703125] [adversarial loss: 0.914170, acc: 0.468750] 19249: [discriminator loss: 0.597808, acc: 0.687500] [adversarial loss: 1.559174, acc: 0.140625] 19250: [discriminator loss: 0.555192, acc: 0.710938] [adversarial loss: 0.899559, acc: 0.468750] 19251: [discriminator loss: 0.519383, acc: 0.734375] [adversarial loss: 1.544748, acc: 0.171875] 19252: [discriminator loss: 0.605046, acc: 0.664062] [adversarial loss: 1.043141, acc: 0.328125] 19253: [discriminator loss: 0.546310, acc: 0.718750] [adversarial loss: 1.410980, acc: 0.046875] 19254: [discriminator loss: 0.533772, acc: 0.742188] [adversarial loss: 1.048554, acc: 0.406250] 19255: [discriminator loss: 0.534330, acc: 0.750000] [adversarial loss: 1.132793, acc: 0.296875] 19256: [discriminator loss: 0.565825, acc: 0.695312] [adversarial loss: 0.934773, acc: 0.468750] 19257: [discriminator loss: 0.525145, acc: 0.734375] [adversarial loss: 1.330283, acc: 0.218750] 19258: [discriminator loss: 0.593175, acc: 0.703125] [adversarial loss: 0.981265, acc: 0.359375] 19259: [discriminator loss: 0.591948, acc: 0.671875] [adversarial loss: 1.135600, acc: 0.312500] 19260: [discriminator loss: 0.530542, acc: 0.734375] [adversarial loss: 1.015285, acc: 0.281250] 19261: [discriminator loss: 0.545841, acc: 0.750000] [adversarial loss: 1.305319, acc: 0.234375] 19262: [discriminator loss: 0.508763, acc: 0.757812] [adversarial loss: 1.274121, acc: 0.187500] 19263: [discriminator loss: 0.521079, acc: 0.726562] [adversarial loss: 1.142611, acc: 0.312500] 19264: [discriminator loss: 0.579828, acc: 0.695312] [adversarial loss: 1.249887, acc: 0.250000] 19265: [discriminator loss: 0.501646, acc: 0.765625] [adversarial loss: 1.095191, acc: 0.281250] 19266: [discriminator loss: 0.630834, acc: 0.695312] [adversarial loss: 0.926419, acc: 0.359375] 19267: [discriminator loss: 0.545058, acc: 0.726562] [adversarial loss: 1.874453, acc: 0.031250] 19268: [discriminator loss: 0.648588, acc: 0.609375] [adversarial loss: 0.611416, acc: 0.625000] 19269: [discriminator loss: 0.626069, acc: 0.671875] [adversarial loss: 1.835197, acc: 0.125000] 19270: [discriminator loss: 0.555576, acc: 0.710938] [adversarial loss: 0.838400, acc: 0.484375] 19271: [discriminator loss: 0.581820, acc: 0.664062] [adversarial loss: 1.512469, acc: 0.078125] 19272: [discriminator loss: 0.549442, acc: 0.710938] [adversarial loss: 1.259368, acc: 0.296875] 19273: [discriminator loss: 0.518817, acc: 0.718750] [adversarial loss: 1.311960, acc: 0.203125] 19274: [discriminator loss: 0.449284, acc: 0.812500] [adversarial loss: 0.905250, acc: 0.406250] 19275: [discriminator loss: 0.623696, acc: 0.679688] [adversarial loss: 1.614363, acc: 0.156250] 19276: [discriminator loss: 0.531261, acc: 0.718750] [adversarial loss: 0.957852, acc: 0.375000] 19277: [discriminator loss: 0.564264, acc: 0.718750] [adversarial loss: 1.335223, acc: 0.250000] 19278: [discriminator loss: 0.585607, acc: 0.671875] [adversarial loss: 1.223725, acc: 0.265625] 19279: [discriminator loss: 0.503013, acc: 0.757812] [adversarial loss: 1.201165, acc: 0.187500] 19280: [discriminator loss: 0.550829, acc: 0.703125] [adversarial loss: 1.103728, acc: 0.359375] 19281: [discriminator loss: 0.488476, acc: 0.750000] [adversarial loss: 1.539456, acc: 0.140625] 19282: [discriminator loss: 0.576052, acc: 0.687500] [adversarial loss: 0.867400, acc: 0.453125] 19283: [discriminator loss: 0.591441, acc: 0.687500] [adversarial loss: 1.338935, acc: 0.187500] 19284: [discriminator loss: 0.543177, acc: 0.734375] [adversarial loss: 0.937137, acc: 0.406250] 19285: [discriminator loss: 0.567974, acc: 0.695312] [adversarial loss: 1.354323, acc: 0.187500] 19286: [discriminator loss: 0.553807, acc: 0.664062] [adversarial loss: 1.013886, acc: 0.359375] 19287: [discriminator loss: 0.483828, acc: 0.796875] [adversarial loss: 1.410500, acc: 0.203125] 19288: [discriminator loss: 0.571890, acc: 0.687500] [adversarial loss: 1.166201, acc: 0.281250] 19289: [discriminator loss: 0.537499, acc: 0.734375] [adversarial loss: 1.098134, acc: 0.250000] 19290: [discriminator loss: 0.494362, acc: 0.750000] [adversarial loss: 1.399968, acc: 0.125000] 19291: [discriminator loss: 0.487983, acc: 0.781250] [adversarial loss: 1.152556, acc: 0.265625] 19292: [discriminator loss: 0.470137, acc: 0.804688] [adversarial loss: 1.178989, acc: 0.281250] 19293: [discriminator loss: 0.510141, acc: 0.734375] [adversarial loss: 1.183201, acc: 0.296875] 19294: [discriminator loss: 0.480413, acc: 0.773438] [adversarial loss: 1.179090, acc: 0.281250] 19295: [discriminator loss: 0.563334, acc: 0.687500] [adversarial loss: 1.265840, acc: 0.250000] 19296: [discriminator loss: 0.503923, acc: 0.750000] [adversarial loss: 0.992701, acc: 0.421875] 19297: [discriminator loss: 0.525251, acc: 0.703125] [adversarial loss: 1.618797, acc: 0.078125] 19298: [discriminator loss: 0.510300, acc: 0.750000] [adversarial loss: 0.872730, acc: 0.484375] 19299: [discriminator loss: 0.635809, acc: 0.703125] [adversarial loss: 1.705939, acc: 0.171875] 19300: [discriminator loss: 0.568789, acc: 0.648438] [adversarial loss: 0.906766, acc: 0.453125] 19301: [discriminator loss: 0.541018, acc: 0.734375] [adversarial loss: 1.423925, acc: 0.093750] 19302: [discriminator loss: 0.569918, acc: 0.679688] [adversarial loss: 0.870999, acc: 0.359375] 19303: [discriminator loss: 0.549399, acc: 0.695312] [adversarial loss: 1.389864, acc: 0.140625] 19304: [discriminator loss: 0.560554, acc: 0.703125] [adversarial loss: 0.879734, acc: 0.406250] 19305: [discriminator loss: 0.499925, acc: 0.726562] [adversarial loss: 1.234564, acc: 0.234375] 19306: [discriminator loss: 0.510292, acc: 0.734375] [adversarial loss: 1.114157, acc: 0.343750] 19307: [discriminator loss: 0.501806, acc: 0.750000] [adversarial loss: 1.049339, acc: 0.359375] 19308: [discriminator loss: 0.507828, acc: 0.750000] [adversarial loss: 1.056163, acc: 0.359375] 19309: [discriminator loss: 0.542249, acc: 0.695312] [adversarial loss: 1.265330, acc: 0.203125] 19310: [discriminator loss: 0.502926, acc: 0.750000] [adversarial loss: 1.081483, acc: 0.281250] 19311: [discriminator loss: 0.579193, acc: 0.687500] [adversarial loss: 1.361073, acc: 0.171875] 19312: [discriminator loss: 0.507823, acc: 0.773438] [adversarial loss: 0.897715, acc: 0.343750] 19313: [discriminator loss: 0.479993, acc: 0.765625] [adversarial loss: 1.163672, acc: 0.312500] 19314: [discriminator loss: 0.539527, acc: 0.695312] [adversarial loss: 1.130989, acc: 0.281250] 19315: [discriminator loss: 0.579838, acc: 0.656250] [adversarial loss: 1.178219, acc: 0.343750] 19316: [discriminator loss: 0.535600, acc: 0.710938] [adversarial loss: 0.805542, acc: 0.515625] 19317: [discriminator loss: 0.546719, acc: 0.710938] [adversarial loss: 1.283500, acc: 0.250000] 19318: [discriminator loss: 0.565407, acc: 0.718750] [adversarial loss: 0.698688, acc: 0.593750] 19319: [discriminator loss: 0.540167, acc: 0.757812] [adversarial loss: 1.474272, acc: 0.093750] 19320: [discriminator loss: 0.556235, acc: 0.656250] [adversarial loss: 0.983622, acc: 0.343750] 19321: [discriminator loss: 0.570559, acc: 0.789062] [adversarial loss: 1.177256, acc: 0.203125] 19322: [discriminator loss: 0.539132, acc: 0.710938] [adversarial loss: 1.065042, acc: 0.281250] 19323: [discriminator loss: 0.553207, acc: 0.703125] [adversarial loss: 1.434160, acc: 0.093750] 19324: [discriminator loss: 0.512475, acc: 0.718750] [adversarial loss: 0.993437, acc: 0.375000] 19325: [discriminator loss: 0.614643, acc: 0.687500] [adversarial loss: 1.447819, acc: 0.125000] 19326: [discriminator loss: 0.594655, acc: 0.671875] [adversarial loss: 1.111312, acc: 0.265625] 19327: [discriminator loss: 0.558498, acc: 0.695312] [adversarial loss: 1.170616, acc: 0.250000] 19328: [discriminator loss: 0.520439, acc: 0.718750] [adversarial loss: 1.359644, acc: 0.203125] 19329: [discriminator loss: 0.558904, acc: 0.695312] [adversarial loss: 1.012075, acc: 0.312500] 19330: [discriminator loss: 0.526027, acc: 0.726562] [adversarial loss: 1.183707, acc: 0.281250] 19331: [discriminator loss: 0.572336, acc: 0.679688] [adversarial loss: 0.923252, acc: 0.421875] 19332: [discriminator loss: 0.555075, acc: 0.703125] [adversarial loss: 1.417635, acc: 0.109375] 19333: [discriminator loss: 0.537510, acc: 0.710938] [adversarial loss: 1.007870, acc: 0.343750] 19334: [discriminator loss: 0.570597, acc: 0.703125] [adversarial loss: 1.555320, acc: 0.125000] 19335: [discriminator loss: 0.540348, acc: 0.671875] [adversarial loss: 1.023383, acc: 0.328125] 19336: [discriminator loss: 0.536611, acc: 0.695312] [adversarial loss: 1.215666, acc: 0.234375] 19337: [discriminator loss: 0.566003, acc: 0.750000] [adversarial loss: 1.101835, acc: 0.218750] 19338: [discriminator loss: 0.592155, acc: 0.687500] [adversarial loss: 1.308000, acc: 0.171875] 19339: [discriminator loss: 0.500606, acc: 0.734375] [adversarial loss: 1.044909, acc: 0.328125] 19340: [discriminator loss: 0.537246, acc: 0.671875] [adversarial loss: 1.177266, acc: 0.312500] 19341: [discriminator loss: 0.524425, acc: 0.703125] [adversarial loss: 1.125115, acc: 0.328125] 19342: [discriminator loss: 0.530691, acc: 0.671875] [adversarial loss: 1.226230, acc: 0.140625] 19343: [discriminator loss: 0.492312, acc: 0.703125] [adversarial loss: 0.889893, acc: 0.500000] 19344: [discriminator loss: 0.589971, acc: 0.671875] [adversarial loss: 1.664409, acc: 0.062500] 19345: [discriminator loss: 0.557470, acc: 0.710938] [adversarial loss: 0.945181, acc: 0.390625] 19346: [discriminator loss: 0.556514, acc: 0.679688] [adversarial loss: 1.339978, acc: 0.203125] 19347: [discriminator loss: 0.573454, acc: 0.687500] [adversarial loss: 0.938929, acc: 0.390625] 19348: [discriminator loss: 0.548987, acc: 0.695312] [adversarial loss: 1.420366, acc: 0.125000] 19349: [discriminator loss: 0.542362, acc: 0.765625] [adversarial loss: 1.157636, acc: 0.281250] 19350: [discriminator loss: 0.554773, acc: 0.710938] [adversarial loss: 1.379951, acc: 0.203125] 19351: [discriminator loss: 0.527828, acc: 0.734375] [adversarial loss: 0.801201, acc: 0.500000] 19352: [discriminator loss: 0.612132, acc: 0.656250] [adversarial loss: 1.696707, acc: 0.078125] 19353: [discriminator loss: 0.620136, acc: 0.617188] [adversarial loss: 0.966766, acc: 0.421875] 19354: [discriminator loss: 0.583237, acc: 0.710938] [adversarial loss: 1.318069, acc: 0.218750] 19355: [discriminator loss: 0.615608, acc: 0.695312] [adversarial loss: 1.332804, acc: 0.187500] 19356: [discriminator loss: 0.538623, acc: 0.710938] [adversarial loss: 0.921824, acc: 0.390625] 19357: [discriminator loss: 0.602831, acc: 0.640625] [adversarial loss: 1.167795, acc: 0.281250] 19358: [discriminator loss: 0.547092, acc: 0.726562] [adversarial loss: 1.330709, acc: 0.296875] 19359: [discriminator loss: 0.531227, acc: 0.796875] [adversarial loss: 0.988219, acc: 0.359375] 19360: [discriminator loss: 0.513489, acc: 0.757812] [adversarial loss: 1.012917, acc: 0.343750] 19361: [discriminator loss: 0.477306, acc: 0.765625] [adversarial loss: 1.227948, acc: 0.265625] 19362: [discriminator loss: 0.523876, acc: 0.726562] [adversarial loss: 1.083018, acc: 0.234375] 19363: [discriminator loss: 0.553955, acc: 0.718750] [adversarial loss: 1.640702, acc: 0.093750] 19364: [discriminator loss: 0.585890, acc: 0.640625] [adversarial loss: 0.865580, acc: 0.421875] 19365: [discriminator loss: 0.619374, acc: 0.640625] [adversarial loss: 1.225461, acc: 0.250000] 19366: [discriminator loss: 0.517716, acc: 0.710938] [adversarial loss: 1.019735, acc: 0.390625] 19367: [discriminator loss: 0.615167, acc: 0.617188] [adversarial loss: 1.162884, acc: 0.312500] 19368: [discriminator loss: 0.553411, acc: 0.718750] [adversarial loss: 1.193333, acc: 0.296875] 19369: [discriminator loss: 0.524764, acc: 0.765625] [adversarial loss: 0.993975, acc: 0.359375] 19370: [discriminator loss: 0.588118, acc: 0.640625] [adversarial loss: 1.254476, acc: 0.250000] 19371: [discriminator loss: 0.542290, acc: 0.757812] [adversarial loss: 1.519545, acc: 0.125000] 19372: [discriminator loss: 0.481345, acc: 0.726562] [adversarial loss: 0.911883, acc: 0.359375] 19373: [discriminator loss: 0.477650, acc: 0.773438] [adversarial loss: 1.459990, acc: 0.218750] 19374: [discriminator loss: 0.550093, acc: 0.664062] [adversarial loss: 0.982251, acc: 0.375000] 19375: [discriminator loss: 0.601081, acc: 0.703125] [adversarial loss: 1.492759, acc: 0.015625] 19376: [discriminator loss: 0.559811, acc: 0.640625] [adversarial loss: 0.855323, acc: 0.437500] 19377: [discriminator loss: 0.606570, acc: 0.656250] [adversarial loss: 1.461790, acc: 0.156250] 19378: [discriminator loss: 0.528761, acc: 0.703125] [adversarial loss: 1.068243, acc: 0.375000] 19379: [discriminator loss: 0.559075, acc: 0.718750] [adversarial loss: 0.936354, acc: 0.390625] 19380: [discriminator loss: 0.629297, acc: 0.632812] [adversarial loss: 1.036283, acc: 0.328125] 19381: [discriminator loss: 0.541058, acc: 0.703125] [adversarial loss: 0.925701, acc: 0.328125] 19382: [discriminator loss: 0.615843, acc: 0.625000] [adversarial loss: 1.545460, acc: 0.109375] 19383: [discriminator loss: 0.616352, acc: 0.679688] [adversarial loss: 0.657879, acc: 0.625000] 19384: [discriminator loss: 0.533816, acc: 0.695312] [adversarial loss: 1.287673, acc: 0.140625] 19385: [discriminator loss: 0.557922, acc: 0.695312] [adversarial loss: 1.013032, acc: 0.343750] 19386: [discriminator loss: 0.542750, acc: 0.703125] [adversarial loss: 1.547808, acc: 0.140625] 19387: [discriminator loss: 0.557670, acc: 0.718750] [adversarial loss: 0.837265, acc: 0.406250] 19388: [discriminator loss: 0.584309, acc: 0.703125] [adversarial loss: 1.361627, acc: 0.125000] 19389: [discriminator loss: 0.549412, acc: 0.679688] [adversarial loss: 1.053671, acc: 0.328125] 19390: [discriminator loss: 0.606367, acc: 0.687500] [adversarial loss: 1.115575, acc: 0.234375] 19391: [discriminator loss: 0.590959, acc: 0.679688] [adversarial loss: 1.068246, acc: 0.312500] 19392: [discriminator loss: 0.517369, acc: 0.757812] [adversarial loss: 1.147837, acc: 0.296875] 19393: [discriminator loss: 0.547038, acc: 0.703125] [adversarial loss: 0.954297, acc: 0.421875] 19394: [discriminator loss: 0.503170, acc: 0.773438] [adversarial loss: 1.324077, acc: 0.171875] 19395: [discriminator loss: 0.549955, acc: 0.742188] [adversarial loss: 0.985788, acc: 0.343750] 19396: [discriminator loss: 0.536522, acc: 0.625000] [adversarial loss: 1.120008, acc: 0.281250] 19397: [discriminator loss: 0.539130, acc: 0.710938] [adversarial loss: 1.209437, acc: 0.250000] 19398: [discriminator loss: 0.489368, acc: 0.804688] [adversarial loss: 0.943687, acc: 0.281250] 19399: [discriminator loss: 0.511543, acc: 0.750000] [adversarial loss: 1.158005, acc: 0.265625] 19400: [discriminator loss: 0.483375, acc: 0.765625] [adversarial loss: 1.049914, acc: 0.296875] 19401: [discriminator loss: 0.545342, acc: 0.710938] [adversarial loss: 1.343629, acc: 0.187500] 19402: [discriminator loss: 0.446949, acc: 0.812500] [adversarial loss: 1.056178, acc: 0.312500] 19403: [discriminator loss: 0.505547, acc: 0.695312] [adversarial loss: 1.691518, acc: 0.187500] 19404: [discriminator loss: 0.615423, acc: 0.640625] [adversarial loss: 0.607383, acc: 0.640625] 19405: [discriminator loss: 0.572683, acc: 0.687500] [adversarial loss: 1.773912, acc: 0.125000] 19406: [discriminator loss: 0.629023, acc: 0.593750] [adversarial loss: 0.879989, acc: 0.437500] 19407: [discriminator loss: 0.553430, acc: 0.726562] [adversarial loss: 1.235887, acc: 0.265625] 19408: [discriminator loss: 0.558419, acc: 0.687500] [adversarial loss: 1.269896, acc: 0.171875] 19409: [discriminator loss: 0.466357, acc: 0.734375] [adversarial loss: 0.971034, acc: 0.437500] 19410: [discriminator loss: 0.592837, acc: 0.656250] [adversarial loss: 1.326408, acc: 0.171875] 19411: [discriminator loss: 0.542028, acc: 0.710938] [adversarial loss: 1.029123, acc: 0.359375] 19412: [discriminator loss: 0.553230, acc: 0.703125] [adversarial loss: 1.209567, acc: 0.281250] 19413: [discriminator loss: 0.529530, acc: 0.718750] [adversarial loss: 1.027986, acc: 0.328125] 19414: [discriminator loss: 0.531234, acc: 0.718750] [adversarial loss: 1.245601, acc: 0.343750] 19415: [discriminator loss: 0.488870, acc: 0.757812] [adversarial loss: 1.150815, acc: 0.265625] 19416: [discriminator loss: 0.516240, acc: 0.757812] [adversarial loss: 1.190960, acc: 0.218750] 19417: [discriminator loss: 0.544440, acc: 0.726562] [adversarial loss: 1.044954, acc: 0.265625] 19418: [discriminator loss: 0.567504, acc: 0.757812] [adversarial loss: 1.255524, acc: 0.187500] 19419: [discriminator loss: 0.579925, acc: 0.679688] [adversarial loss: 1.009901, acc: 0.312500] 19420: [discriminator loss: 0.529800, acc: 0.726562] [adversarial loss: 1.156922, acc: 0.234375] 19421: [discriminator loss: 0.580826, acc: 0.656250] [adversarial loss: 1.496049, acc: 0.218750] 19422: [discriminator loss: 0.515369, acc: 0.687500] [adversarial loss: 1.000866, acc: 0.375000] 19423: [discriminator loss: 0.559796, acc: 0.710938] [adversarial loss: 1.452528, acc: 0.109375] 19424: [discriminator loss: 0.604033, acc: 0.664062] [adversarial loss: 0.762885, acc: 0.546875] 19425: [discriminator loss: 0.562642, acc: 0.710938] [adversarial loss: 1.415364, acc: 0.156250] 19426: [discriminator loss: 0.465032, acc: 0.742188] [adversarial loss: 1.225388, acc: 0.234375] 19427: [discriminator loss: 0.500552, acc: 0.718750] [adversarial loss: 1.104029, acc: 0.328125] 19428: [discriminator loss: 0.543590, acc: 0.695312] [adversarial loss: 0.910143, acc: 0.390625] 19429: [discriminator loss: 0.586920, acc: 0.695312] [adversarial loss: 1.693889, acc: 0.062500] 19430: [discriminator loss: 0.645783, acc: 0.625000] [adversarial loss: 0.848846, acc: 0.515625] 19431: [discriminator loss: 0.591913, acc: 0.703125] [adversarial loss: 1.574111, acc: 0.140625] 19432: [discriminator loss: 0.599024, acc: 0.671875] [adversarial loss: 0.904055, acc: 0.406250] 19433: [discriminator loss: 0.602367, acc: 0.656250] [adversarial loss: 1.369881, acc: 0.171875] 19434: [discriminator loss: 0.575345, acc: 0.664062] [adversarial loss: 0.957404, acc: 0.421875] 19435: [discriminator loss: 0.531635, acc: 0.726562] [adversarial loss: 1.262839, acc: 0.250000] 19436: [discriminator loss: 0.536186, acc: 0.742188] [adversarial loss: 1.052538, acc: 0.343750] 19437: [discriminator loss: 0.487196, acc: 0.781250] [adversarial loss: 1.216152, acc: 0.296875] 19438: [discriminator loss: 0.508205, acc: 0.773438] [adversarial loss: 1.299273, acc: 0.281250] 19439: [discriminator loss: 0.483053, acc: 0.796875] [adversarial loss: 1.177848, acc: 0.281250] 19440: [discriminator loss: 0.516963, acc: 0.703125] [adversarial loss: 0.989705, acc: 0.359375] 19441: [discriminator loss: 0.553945, acc: 0.695312] [adversarial loss: 1.231678, acc: 0.265625] 19442: [discriminator loss: 0.515506, acc: 0.750000] [adversarial loss: 0.952247, acc: 0.406250] 19443: [discriminator loss: 0.611344, acc: 0.664062] [adversarial loss: 1.562487, acc: 0.156250] 19444: [discriminator loss: 0.551784, acc: 0.765625] [adversarial loss: 0.860693, acc: 0.500000] 19445: [discriminator loss: 0.553483, acc: 0.757812] [adversarial loss: 1.405506, acc: 0.125000] 19446: [discriminator loss: 0.570125, acc: 0.750000] [adversarial loss: 0.933479, acc: 0.484375] 19447: [discriminator loss: 0.571195, acc: 0.710938] [adversarial loss: 1.381544, acc: 0.187500] 19448: [discriminator loss: 0.634924, acc: 0.656250] [adversarial loss: 0.903933, acc: 0.468750] 19449: [discriminator loss: 0.508149, acc: 0.742188] [adversarial loss: 1.356340, acc: 0.156250] 19450: [discriminator loss: 0.529563, acc: 0.695312] [adversarial loss: 1.259252, acc: 0.218750] 19451: [discriminator loss: 0.488089, acc: 0.773438] [adversarial loss: 1.152060, acc: 0.218750] 19452: [discriminator loss: 0.465917, acc: 0.773438] [adversarial loss: 1.016807, acc: 0.343750] 19453: [discriminator loss: 0.601649, acc: 0.687500] [adversarial loss: 1.188442, acc: 0.250000] 19454: [discriminator loss: 0.608432, acc: 0.640625] [adversarial loss: 0.958317, acc: 0.515625] 19455: [discriminator loss: 0.575411, acc: 0.687500] [adversarial loss: 1.544532, acc: 0.078125] 19456: [discriminator loss: 0.614774, acc: 0.656250] [adversarial loss: 0.862623, acc: 0.437500] 19457: [discriminator loss: 0.618162, acc: 0.640625] [adversarial loss: 1.502614, acc: 0.109375] 19458: [discriminator loss: 0.567386, acc: 0.718750] [adversarial loss: 0.941369, acc: 0.359375] 19459: [discriminator loss: 0.538445, acc: 0.703125] [adversarial loss: 1.504201, acc: 0.046875] 19460: [discriminator loss: 0.551876, acc: 0.695312] [adversarial loss: 0.962300, acc: 0.343750] 19461: [discriminator loss: 0.608179, acc: 0.648438] [adversarial loss: 1.036302, acc: 0.312500] 19462: [discriminator loss: 0.558710, acc: 0.710938] [adversarial loss: 1.076807, acc: 0.250000] 19463: [discriminator loss: 0.501236, acc: 0.734375] [adversarial loss: 1.002702, acc: 0.250000] 19464: [discriminator loss: 0.519623, acc: 0.750000] [adversarial loss: 1.423446, acc: 0.187500] 19465: [discriminator loss: 0.537136, acc: 0.734375] [adversarial loss: 1.310220, acc: 0.203125] 19466: [discriminator loss: 0.641216, acc: 0.632812] [adversarial loss: 1.018147, acc: 0.328125] 19467: [discriminator loss: 0.533026, acc: 0.726562] [adversarial loss: 1.089439, acc: 0.343750] 19468: [discriminator loss: 0.563959, acc: 0.687500] [adversarial loss: 1.223037, acc: 0.234375] 19469: [discriminator loss: 0.585786, acc: 0.648438] [adversarial loss: 1.579120, acc: 0.093750] 19470: [discriminator loss: 0.536900, acc: 0.695312] [adversarial loss: 0.753430, acc: 0.562500] 19471: [discriminator loss: 0.594498, acc: 0.703125] [adversarial loss: 1.844191, acc: 0.078125] 19472: [discriminator loss: 0.533707, acc: 0.726562] [adversarial loss: 1.079590, acc: 0.312500] 19473: [discriminator loss: 0.634100, acc: 0.601562] [adversarial loss: 1.382554, acc: 0.187500] 19474: [discriminator loss: 0.560547, acc: 0.703125] [adversarial loss: 1.014212, acc: 0.281250] 19475: [discriminator loss: 0.505887, acc: 0.757812] [adversarial loss: 1.153308, acc: 0.281250] 19476: [discriminator loss: 0.547422, acc: 0.718750] [adversarial loss: 1.322274, acc: 0.156250] 19477: [discriminator loss: 0.448235, acc: 0.828125] [adversarial loss: 0.911954, acc: 0.406250] 19478: [discriminator loss: 0.544052, acc: 0.742188] [adversarial loss: 1.021785, acc: 0.296875] 19479: [discriminator loss: 0.569657, acc: 0.703125] [adversarial loss: 1.204751, acc: 0.203125] 19480: [discriminator loss: 0.485809, acc: 0.765625] [adversarial loss: 1.020558, acc: 0.359375] 19481: [discriminator loss: 0.529921, acc: 0.757812] [adversarial loss: 1.372403, acc: 0.125000] 19482: [discriminator loss: 0.530061, acc: 0.726562] [adversarial loss: 0.966456, acc: 0.343750] 19483: [discriminator loss: 0.516774, acc: 0.742188] [adversarial loss: 1.153926, acc: 0.296875] 19484: [discriminator loss: 0.565552, acc: 0.703125] [adversarial loss: 0.907562, acc: 0.437500] 19485: [discriminator loss: 0.509268, acc: 0.734375] [adversarial loss: 1.119739, acc: 0.312500] 19486: [discriminator loss: 0.535101, acc: 0.750000] [adversarial loss: 0.976584, acc: 0.421875] 19487: [discriminator loss: 0.515255, acc: 0.734375] [adversarial loss: 1.145481, acc: 0.281250] 19488: [discriminator loss: 0.603096, acc: 0.679688] [adversarial loss: 0.998388, acc: 0.453125] 19489: [discriminator loss: 0.526394, acc: 0.734375] [adversarial loss: 1.546483, acc: 0.078125] 19490: [discriminator loss: 0.655096, acc: 0.632812] [adversarial loss: 0.679844, acc: 0.578125] 19491: [discriminator loss: 0.569504, acc: 0.726562] [adversarial loss: 1.529305, acc: 0.093750] 19492: [discriminator loss: 0.541044, acc: 0.734375] [adversarial loss: 0.932243, acc: 0.406250] 19493: [discriminator loss: 0.578788, acc: 0.664062] [adversarial loss: 1.586792, acc: 0.062500] 19494: [discriminator loss: 0.671444, acc: 0.648438] [adversarial loss: 1.024366, acc: 0.343750] 19495: [discriminator loss: 0.524352, acc: 0.750000] [adversarial loss: 1.445402, acc: 0.140625] 19496: [discriminator loss: 0.555546, acc: 0.695312] [adversarial loss: 1.019795, acc: 0.375000] 19497: [discriminator loss: 0.515404, acc: 0.718750] [adversarial loss: 1.460852, acc: 0.078125] 19498: [discriminator loss: 0.506477, acc: 0.742188] [adversarial loss: 1.102747, acc: 0.359375] 19499: [discriminator loss: 0.513266, acc: 0.765625] [adversarial loss: 1.233804, acc: 0.218750] 19500: [discriminator loss: 0.578910, acc: 0.679688] [adversarial loss: 0.872926, acc: 0.421875] 19501: [discriminator loss: 0.588614, acc: 0.679688] [adversarial loss: 1.135979, acc: 0.281250] 19502: [discriminator loss: 0.552700, acc: 0.718750] [adversarial loss: 1.219780, acc: 0.312500] 19503: [discriminator loss: 0.606794, acc: 0.664062] [adversarial loss: 1.018035, acc: 0.359375] 19504: [discriminator loss: 0.480950, acc: 0.781250] [adversarial loss: 1.451901, acc: 0.203125] 19505: [discriminator loss: 0.605284, acc: 0.703125] [adversarial loss: 0.901597, acc: 0.359375] 19506: [discriminator loss: 0.545616, acc: 0.687500] [adversarial loss: 1.336785, acc: 0.250000] 19507: [discriminator loss: 0.553071, acc: 0.703125] [adversarial loss: 1.197553, acc: 0.281250] 19508: [discriminator loss: 0.569275, acc: 0.710938] [adversarial loss: 1.096243, acc: 0.343750] 19509: [discriminator loss: 0.575094, acc: 0.671875] [adversarial loss: 1.089630, acc: 0.265625] 19510: [discriminator loss: 0.555375, acc: 0.718750] [adversarial loss: 1.117063, acc: 0.265625] 19511: [discriminator loss: 0.551530, acc: 0.695312] [adversarial loss: 1.114292, acc: 0.296875] 19512: [discriminator loss: 0.555233, acc: 0.710938] [adversarial loss: 1.363707, acc: 0.156250] 19513: [discriminator loss: 0.524434, acc: 0.726562] [adversarial loss: 1.077090, acc: 0.218750] 19514: [discriminator loss: 0.524098, acc: 0.742188] [adversarial loss: 1.500278, acc: 0.140625] 19515: [discriminator loss: 0.582772, acc: 0.687500] [adversarial loss: 0.866687, acc: 0.437500] 19516: [discriminator loss: 0.530541, acc: 0.726562] [adversarial loss: 1.290184, acc: 0.203125] 19517: [discriminator loss: 0.506090, acc: 0.718750] [adversarial loss: 0.995986, acc: 0.437500] 19518: [discriminator loss: 0.587146, acc: 0.742188] [adversarial loss: 1.384086, acc: 0.156250] 19519: [discriminator loss: 0.529193, acc: 0.742188] [adversarial loss: 0.922407, acc: 0.437500] 19520: [discriminator loss: 0.653595, acc: 0.617188] [adversarial loss: 1.788457, acc: 0.062500] 19521: [discriminator loss: 0.595686, acc: 0.648438] [adversarial loss: 0.820269, acc: 0.515625] 19522: [discriminator loss: 0.583034, acc: 0.718750] [adversarial loss: 1.520213, acc: 0.171875] 19523: [discriminator loss: 0.530972, acc: 0.726562] [adversarial loss: 1.000434, acc: 0.328125] 19524: [discriminator loss: 0.528245, acc: 0.750000] [adversarial loss: 1.327023, acc: 0.203125] 19525: [discriminator loss: 0.531424, acc: 0.734375] [adversarial loss: 0.964365, acc: 0.406250] 19526: [discriminator loss: 0.498385, acc: 0.757812] [adversarial loss: 1.418053, acc: 0.218750] 19527: [discriminator loss: 0.560484, acc: 0.679688] [adversarial loss: 0.997689, acc: 0.406250] 19528: [discriminator loss: 0.600795, acc: 0.695312] [adversarial loss: 1.566453, acc: 0.140625] 19529: [discriminator loss: 0.576610, acc: 0.703125] [adversarial loss: 0.839110, acc: 0.453125] 19530: [discriminator loss: 0.493985, acc: 0.796875] [adversarial loss: 1.315938, acc: 0.187500] 19531: [discriminator loss: 0.521326, acc: 0.726562] [adversarial loss: 0.798562, acc: 0.421875] 19532: [discriminator loss: 0.598080, acc: 0.726562] [adversarial loss: 1.386724, acc: 0.156250] 19533: [discriminator loss: 0.573888, acc: 0.671875] [adversarial loss: 0.867505, acc: 0.406250] 19534: [discriminator loss: 0.476907, acc: 0.765625] [adversarial loss: 1.197154, acc: 0.187500] 19535: [discriminator loss: 0.568953, acc: 0.679688] [adversarial loss: 1.100249, acc: 0.328125] 19536: [discriminator loss: 0.578627, acc: 0.718750] [adversarial loss: 1.283788, acc: 0.296875] 19537: [discriminator loss: 0.553029, acc: 0.695312] [adversarial loss: 0.958433, acc: 0.390625] 19538: [discriminator loss: 0.626709, acc: 0.648438] [adversarial loss: 1.485646, acc: 0.187500] 19539: [discriminator loss: 0.481162, acc: 0.765625] [adversarial loss: 1.077759, acc: 0.296875] 19540: [discriminator loss: 0.484602, acc: 0.750000] [adversarial loss: 1.080736, acc: 0.328125] 19541: [discriminator loss: 0.585525, acc: 0.656250] [adversarial loss: 1.218490, acc: 0.250000] 19542: [discriminator loss: 0.562571, acc: 0.726562] [adversarial loss: 1.084592, acc: 0.390625] 19543: [discriminator loss: 0.578007, acc: 0.710938] [adversarial loss: 1.114634, acc: 0.296875] 19544: [discriminator loss: 0.512884, acc: 0.773438] [adversarial loss: 1.030353, acc: 0.328125] 19545: [discriminator loss: 0.504062, acc: 0.757812] [adversarial loss: 1.152318, acc: 0.312500] 19546: [discriminator loss: 0.538285, acc: 0.718750] [adversarial loss: 1.157406, acc: 0.234375] 19547: [discriminator loss: 0.546485, acc: 0.695312] [adversarial loss: 1.081246, acc: 0.343750] 19548: [discriminator loss: 0.511484, acc: 0.789062] [adversarial loss: 1.493868, acc: 0.156250] 19549: [discriminator loss: 0.578375, acc: 0.679688] [adversarial loss: 0.713786, acc: 0.593750] 19550: [discriminator loss: 0.493082, acc: 0.726562] [adversarial loss: 1.547519, acc: 0.125000] 19551: [discriminator loss: 0.580120, acc: 0.648438] [adversarial loss: 0.961460, acc: 0.468750] 19552: [discriminator loss: 0.626698, acc: 0.703125] [adversarial loss: 1.661258, acc: 0.109375] 19553: [discriminator loss: 0.553494, acc: 0.703125] [adversarial loss: 0.953898, acc: 0.421875] 19554: [discriminator loss: 0.536773, acc: 0.703125] [adversarial loss: 1.489969, acc: 0.171875] 19555: [discriminator loss: 0.588640, acc: 0.664062] [adversarial loss: 0.965024, acc: 0.343750] 19556: [discriminator loss: 0.497033, acc: 0.796875] [adversarial loss: 1.481598, acc: 0.171875] 19557: [discriminator loss: 0.488044, acc: 0.789062] [adversarial loss: 0.971694, acc: 0.296875] 19558: [discriminator loss: 0.513594, acc: 0.742188] [adversarial loss: 1.591047, acc: 0.093750] 19559: [discriminator loss: 0.491749, acc: 0.742188] [adversarial loss: 0.786564, acc: 0.515625] 19560: [discriminator loss: 0.575588, acc: 0.703125] [adversarial loss: 1.294067, acc: 0.234375] 19561: [discriminator loss: 0.609229, acc: 0.656250] [adversarial loss: 1.191171, acc: 0.296875] 19562: [discriminator loss: 0.509978, acc: 0.757812] [adversarial loss: 1.563603, acc: 0.125000] 19563: [discriminator loss: 0.548740, acc: 0.710938] [adversarial loss: 0.814380, acc: 0.531250] 19564: [discriminator loss: 0.546730, acc: 0.710938] [adversarial loss: 1.306423, acc: 0.156250] 19565: [discriminator loss: 0.520838, acc: 0.726562] [adversarial loss: 1.303252, acc: 0.203125] 19566: [discriminator loss: 0.492871, acc: 0.742188] [adversarial loss: 0.902872, acc: 0.390625] 19567: [discriminator loss: 0.552430, acc: 0.656250] [adversarial loss: 1.411265, acc: 0.187500] 19568: [discriminator loss: 0.544467, acc: 0.718750] [adversarial loss: 1.058999, acc: 0.390625] 19569: [discriminator loss: 0.555040, acc: 0.695312] [adversarial loss: 1.459784, acc: 0.234375] 19570: [discriminator loss: 0.598348, acc: 0.679688] [adversarial loss: 0.962727, acc: 0.437500] 19571: [discriminator loss: 0.592968, acc: 0.640625] [adversarial loss: 1.600857, acc: 0.093750] 19572: [discriminator loss: 0.541341, acc: 0.687500] [adversarial loss: 0.923349, acc: 0.453125] 19573: [discriminator loss: 0.581344, acc: 0.640625] [adversarial loss: 1.431993, acc: 0.140625] 19574: [discriminator loss: 0.510598, acc: 0.695312] [adversarial loss: 0.985982, acc: 0.234375] 19575: [discriminator loss: 0.549225, acc: 0.695312] [adversarial loss: 1.717967, acc: 0.125000] 19576: [discriminator loss: 0.571929, acc: 0.710938] [adversarial loss: 1.069225, acc: 0.375000] 19577: [discriminator loss: 0.565606, acc: 0.757812] [adversarial loss: 1.653157, acc: 0.109375] 19578: [discriminator loss: 0.581824, acc: 0.617188] [adversarial loss: 0.909118, acc: 0.359375] 19579: [discriminator loss: 0.558317, acc: 0.718750] [adversarial loss: 1.294578, acc: 0.218750] 19580: [discriminator loss: 0.508831, acc: 0.773438] [adversarial loss: 1.280878, acc: 0.281250] 19581: [discriminator loss: 0.518467, acc: 0.734375] [adversarial loss: 1.191905, acc: 0.218750] 19582: [discriminator loss: 0.452087, acc: 0.812500] [adversarial loss: 1.396735, acc: 0.140625] 19583: [discriminator loss: 0.572382, acc: 0.671875] [adversarial loss: 0.794706, acc: 0.500000] 19584: [discriminator loss: 0.568886, acc: 0.726562] [adversarial loss: 1.334009, acc: 0.140625] 19585: [discriminator loss: 0.512774, acc: 0.757812] [adversarial loss: 1.060972, acc: 0.281250] 19586: [discriminator loss: 0.480824, acc: 0.765625] [adversarial loss: 1.350142, acc: 0.265625] 19587: [discriminator loss: 0.548410, acc: 0.750000] [adversarial loss: 0.845261, acc: 0.484375] 19588: [discriminator loss: 0.525072, acc: 0.710938] [adversarial loss: 1.448906, acc: 0.171875] 19589: [discriminator loss: 0.563731, acc: 0.687500] [adversarial loss: 0.862801, acc: 0.500000] 19590: [discriminator loss: 0.540674, acc: 0.726562] [adversarial loss: 1.434444, acc: 0.156250] 19591: [discriminator loss: 0.560702, acc: 0.703125] [adversarial loss: 0.844425, acc: 0.468750] 19592: [discriminator loss: 0.516375, acc: 0.710938] [adversarial loss: 1.318818, acc: 0.234375] 19593: [discriminator loss: 0.572506, acc: 0.664062] [adversarial loss: 1.197966, acc: 0.265625] 19594: [discriminator loss: 0.500950, acc: 0.750000] [adversarial loss: 1.014658, acc: 0.406250] 19595: [discriminator loss: 0.583446, acc: 0.703125] [adversarial loss: 1.496570, acc: 0.125000] 19596: [discriminator loss: 0.502552, acc: 0.750000] [adversarial loss: 0.906459, acc: 0.421875] 19597: [discriminator loss: 0.608072, acc: 0.648438] [adversarial loss: 1.513606, acc: 0.140625] 19598: [discriminator loss: 0.556562, acc: 0.718750] [adversarial loss: 1.103000, acc: 0.375000] 19599: [discriminator loss: 0.511072, acc: 0.703125] [adversarial loss: 1.461880, acc: 0.140625] 19600: [discriminator loss: 0.548662, acc: 0.718750] [adversarial loss: 1.120495, acc: 0.281250] 19601: [discriminator loss: 0.541935, acc: 0.742188] [adversarial loss: 1.494405, acc: 0.156250] 19602: [discriminator loss: 0.554234, acc: 0.703125] [adversarial loss: 0.975579, acc: 0.421875] 19603: [discriminator loss: 0.480726, acc: 0.765625] [adversarial loss: 1.182844, acc: 0.312500] 19604: [discriminator loss: 0.588102, acc: 0.710938] [adversarial loss: 1.406588, acc: 0.171875] 19605: [discriminator loss: 0.511395, acc: 0.750000] [adversarial loss: 1.369538, acc: 0.187500] 19606: [discriminator loss: 0.580765, acc: 0.687500] [adversarial loss: 1.019156, acc: 0.421875] 19607: [discriminator loss: 0.624123, acc: 0.632812] [adversarial loss: 1.482365, acc: 0.109375] 19608: [discriminator loss: 0.650898, acc: 0.632812] [adversarial loss: 0.769445, acc: 0.484375] 19609: [discriminator loss: 0.563124, acc: 0.710938] [adversarial loss: 1.572504, acc: 0.078125] 19610: [discriminator loss: 0.549763, acc: 0.679688] [adversarial loss: 1.006286, acc: 0.359375] 19611: [discriminator loss: 0.615138, acc: 0.656250] [adversarial loss: 1.402462, acc: 0.093750] 19612: [discriminator loss: 0.579551, acc: 0.718750] [adversarial loss: 1.006440, acc: 0.328125] 19613: [discriminator loss: 0.544261, acc: 0.710938] [adversarial loss: 1.255317, acc: 0.171875] 19614: [discriminator loss: 0.555945, acc: 0.679688] [adversarial loss: 1.278394, acc: 0.296875] 19615: [discriminator loss: 0.584586, acc: 0.656250] [adversarial loss: 1.221956, acc: 0.265625] 19616: [discriminator loss: 0.501306, acc: 0.765625] [adversarial loss: 0.996678, acc: 0.468750] 19617: [discriminator loss: 0.572526, acc: 0.718750] [adversarial loss: 1.345588, acc: 0.218750] 19618: [discriminator loss: 0.567278, acc: 0.710938] [adversarial loss: 0.875361, acc: 0.484375] 19619: [discriminator loss: 0.520342, acc: 0.718750] [adversarial loss: 1.270189, acc: 0.265625] 19620: [discriminator loss: 0.590227, acc: 0.664062] [adversarial loss: 0.983238, acc: 0.406250] 19621: [discriminator loss: 0.458979, acc: 0.750000] [adversarial loss: 1.316035, acc: 0.218750] 19622: [discriminator loss: 0.591934, acc: 0.679688] [adversarial loss: 0.915846, acc: 0.468750] 19623: [discriminator loss: 0.549157, acc: 0.718750] [adversarial loss: 1.196798, acc: 0.218750] 19624: [discriminator loss: 0.590035, acc: 0.679688] [adversarial loss: 0.920597, acc: 0.500000] 19625: [discriminator loss: 0.498018, acc: 0.757812] [adversarial loss: 1.590746, acc: 0.140625] 19626: [discriminator loss: 0.543267, acc: 0.710938] [adversarial loss: 0.814914, acc: 0.562500] 19627: [discriminator loss: 0.691891, acc: 0.617188] [adversarial loss: 1.818668, acc: 0.046875] 19628: [discriminator loss: 0.618804, acc: 0.664062] [adversarial loss: 1.026939, acc: 0.453125] 19629: [discriminator loss: 0.631774, acc: 0.679688] [adversarial loss: 1.342564, acc: 0.109375] 19630: [discriminator loss: 0.570612, acc: 0.687500] [adversarial loss: 1.310819, acc: 0.156250] 19631: [discriminator loss: 0.547233, acc: 0.718750] [adversarial loss: 1.400384, acc: 0.187500] 19632: [discriminator loss: 0.557149, acc: 0.695312] [adversarial loss: 1.138330, acc: 0.343750] 19633: [discriminator loss: 0.547836, acc: 0.718750] [adversarial loss: 1.004969, acc: 0.359375] 19634: [discriminator loss: 0.537285, acc: 0.734375] [adversarial loss: 1.192707, acc: 0.250000] 19635: [discriminator loss: 0.527137, acc: 0.734375] [adversarial loss: 1.210727, acc: 0.203125] 19636: [discriminator loss: 0.535648, acc: 0.750000] [adversarial loss: 1.308242, acc: 0.187500] 19637: [discriminator loss: 0.569371, acc: 0.703125] [adversarial loss: 1.033289, acc: 0.296875] 19638: [discriminator loss: 0.501484, acc: 0.757812] [adversarial loss: 1.305256, acc: 0.203125] 19639: [discriminator loss: 0.553272, acc: 0.734375] [adversarial loss: 1.259841, acc: 0.250000] 19640: [discriminator loss: 0.504798, acc: 0.757812] [adversarial loss: 1.127340, acc: 0.343750] 19641: [discriminator loss: 0.477582, acc: 0.742188] [adversarial loss: 1.489267, acc: 0.156250] 19642: [discriminator loss: 0.526243, acc: 0.718750] [adversarial loss: 0.885290, acc: 0.468750] 19643: [discriminator loss: 0.548228, acc: 0.750000] [adversarial loss: 1.804241, acc: 0.078125] 19644: [discriminator loss: 0.634177, acc: 0.640625] [adversarial loss: 0.858856, acc: 0.468750] 19645: [discriminator loss: 0.627279, acc: 0.656250] [adversarial loss: 1.413775, acc: 0.156250] 19646: [discriminator loss: 0.523627, acc: 0.710938] [adversarial loss: 0.910937, acc: 0.421875] 19647: [discriminator loss: 0.512408, acc: 0.757812] [adversarial loss: 1.767947, acc: 0.078125] 19648: [discriminator loss: 0.552095, acc: 0.703125] [adversarial loss: 1.005499, acc: 0.390625] 19649: [discriminator loss: 0.516068, acc: 0.710938] [adversarial loss: 1.369307, acc: 0.187500] 19650: [discriminator loss: 0.570525, acc: 0.710938] [adversarial loss: 1.125732, acc: 0.328125] 19651: [discriminator loss: 0.609968, acc: 0.648438] [adversarial loss: 1.218788, acc: 0.234375] 19652: [discriminator loss: 0.513863, acc: 0.757812] [adversarial loss: 1.148747, acc: 0.281250] 19653: [discriminator loss: 0.518044, acc: 0.757812] [adversarial loss: 0.923564, acc: 0.468750] 19654: [discriminator loss: 0.583368, acc: 0.664062] [adversarial loss: 1.441742, acc: 0.171875] 19655: [discriminator loss: 0.658627, acc: 0.617188] [adversarial loss: 0.909143, acc: 0.421875] 19656: [discriminator loss: 0.574912, acc: 0.664062] [adversarial loss: 1.601830, acc: 0.078125] 19657: [discriminator loss: 0.569364, acc: 0.687500] [adversarial loss: 0.856993, acc: 0.500000] 19658: [discriminator loss: 0.548524, acc: 0.703125] [adversarial loss: 1.335813, acc: 0.156250] 19659: [discriminator loss: 0.565379, acc: 0.718750] [adversarial loss: 1.053801, acc: 0.390625] 19660: [discriminator loss: 0.532711, acc: 0.718750] [adversarial loss: 1.095598, acc: 0.203125] 19661: [discriminator loss: 0.555523, acc: 0.648438] [adversarial loss: 1.175698, acc: 0.234375] 19662: [discriminator loss: 0.592263, acc: 0.687500] [adversarial loss: 1.043084, acc: 0.234375] 19663: [discriminator loss: 0.499553, acc: 0.773438] [adversarial loss: 1.595517, acc: 0.078125] 19664: [discriminator loss: 0.550835, acc: 0.671875] [adversarial loss: 0.924227, acc: 0.343750] 19665: [discriminator loss: 0.582440, acc: 0.726562] [adversarial loss: 1.521825, acc: 0.171875] 19666: [discriminator loss: 0.477408, acc: 0.781250] [adversarial loss: 1.192327, acc: 0.265625] 19667: [discriminator loss: 0.585766, acc: 0.679688] [adversarial loss: 1.174624, acc: 0.187500] 19668: [discriminator loss: 0.568106, acc: 0.710938] [adversarial loss: 0.974368, acc: 0.390625] 19669: [discriminator loss: 0.541045, acc: 0.703125] [adversarial loss: 1.373309, acc: 0.125000] 19670: [discriminator loss: 0.567507, acc: 0.703125] [adversarial loss: 1.014080, acc: 0.359375] 19671: [discriminator loss: 0.537348, acc: 0.757812] [adversarial loss: 1.274031, acc: 0.218750] 19672: [discriminator loss: 0.464614, acc: 0.796875] [adversarial loss: 1.155729, acc: 0.281250] 19673: [discriminator loss: 0.561861, acc: 0.671875] [adversarial loss: 1.260197, acc: 0.187500] 19674: [discriminator loss: 0.498598, acc: 0.750000] [adversarial loss: 0.674708, acc: 0.593750] 19675: [discriminator loss: 0.547313, acc: 0.687500] [adversarial loss: 1.303334, acc: 0.187500] 19676: [discriminator loss: 0.558184, acc: 0.687500] [adversarial loss: 0.978449, acc: 0.343750] 19677: [discriminator loss: 0.471955, acc: 0.726562] [adversarial loss: 1.451219, acc: 0.140625] 19678: [discriminator loss: 0.556627, acc: 0.703125] [adversarial loss: 0.915032, acc: 0.390625] 19679: [discriminator loss: 0.559236, acc: 0.687500] [adversarial loss: 1.751652, acc: 0.062500] 19680: [discriminator loss: 0.672397, acc: 0.632812] [adversarial loss: 0.988740, acc: 0.421875] 19681: [discriminator loss: 0.558868, acc: 0.687500] [adversarial loss: 1.229518, acc: 0.250000] 19682: [discriminator loss: 0.544012, acc: 0.718750] [adversarial loss: 1.001561, acc: 0.343750] 19683: [discriminator loss: 0.498362, acc: 0.781250] [adversarial loss: 1.481536, acc: 0.109375] 19684: [discriminator loss: 0.536097, acc: 0.695312] [adversarial loss: 0.924172, acc: 0.343750] 19685: [discriminator loss: 0.548162, acc: 0.734375] [adversarial loss: 1.581684, acc: 0.156250] 19686: [discriminator loss: 0.567933, acc: 0.687500] [adversarial loss: 1.119132, acc: 0.296875] 19687: [discriminator loss: 0.554392, acc: 0.726562] [adversarial loss: 1.391547, acc: 0.171875] 19688: [discriminator loss: 0.518143, acc: 0.750000] [adversarial loss: 0.943985, acc: 0.437500] 19689: [discriminator loss: 0.560942, acc: 0.703125] [adversarial loss: 1.748635, acc: 0.046875] 19690: [discriminator loss: 0.512956, acc: 0.718750] [adversarial loss: 0.911778, acc: 0.406250] 19691: [discriminator loss: 0.511412, acc: 0.726562] [adversarial loss: 1.341188, acc: 0.171875] 19692: [discriminator loss: 0.559889, acc: 0.703125] [adversarial loss: 0.972488, acc: 0.375000] 19693: [discriminator loss: 0.523925, acc: 0.687500] [adversarial loss: 1.369941, acc: 0.171875] 19694: [discriminator loss: 0.463271, acc: 0.781250] [adversarial loss: 1.021775, acc: 0.390625] 19695: [discriminator loss: 0.500808, acc: 0.757812] [adversarial loss: 1.379762, acc: 0.125000] 19696: [discriminator loss: 0.592201, acc: 0.679688] [adversarial loss: 0.968607, acc: 0.390625] 19697: [discriminator loss: 0.594462, acc: 0.648438] [adversarial loss: 1.199252, acc: 0.281250] 19698: [discriminator loss: 0.572724, acc: 0.703125] [adversarial loss: 0.991315, acc: 0.437500] 19699: [discriminator loss: 0.517503, acc: 0.718750] [adversarial loss: 1.141124, acc: 0.328125] 19700: [discriminator loss: 0.615010, acc: 0.632812] [adversarial loss: 1.164809, acc: 0.312500] 19701: [discriminator loss: 0.507616, acc: 0.789062] [adversarial loss: 1.330019, acc: 0.156250] 19702: [discriminator loss: 0.572295, acc: 0.671875] [adversarial loss: 1.046637, acc: 0.406250] 19703: [discriminator loss: 0.521439, acc: 0.726562] [adversarial loss: 1.427341, acc: 0.140625] 19704: [discriminator loss: 0.565729, acc: 0.664062] [adversarial loss: 0.685958, acc: 0.656250] 19705: [discriminator loss: 0.609272, acc: 0.671875] [adversarial loss: 1.489372, acc: 0.156250] 19706: [discriminator loss: 0.587904, acc: 0.664062] [adversarial loss: 0.891971, acc: 0.421875] 19707: [discriminator loss: 0.581626, acc: 0.656250] [adversarial loss: 1.570081, acc: 0.031250] 19708: [discriminator loss: 0.562545, acc: 0.695312] [adversarial loss: 0.908079, acc: 0.359375] 19709: [discriminator loss: 0.581008, acc: 0.679688] [adversarial loss: 1.513651, acc: 0.140625] 19710: [discriminator loss: 0.535845, acc: 0.703125] [adversarial loss: 0.925047, acc: 0.468750] 19711: [discriminator loss: 0.493258, acc: 0.773438] [adversarial loss: 1.286724, acc: 0.140625] 19712: [discriminator loss: 0.579417, acc: 0.734375] [adversarial loss: 1.282493, acc: 0.218750] 19713: [discriminator loss: 0.573309, acc: 0.718750] [adversarial loss: 1.025903, acc: 0.343750] 19714: [discriminator loss: 0.492268, acc: 0.750000] [adversarial loss: 1.129554, acc: 0.250000] 19715: [discriminator loss: 0.515631, acc: 0.765625] [adversarial loss: 1.168489, acc: 0.265625] 19716: [discriminator loss: 0.511305, acc: 0.773438] [adversarial loss: 1.305657, acc: 0.187500] 19717: [discriminator loss: 0.526799, acc: 0.750000] [adversarial loss: 1.448909, acc: 0.171875] 19718: [discriminator loss: 0.544960, acc: 0.734375] [adversarial loss: 1.230704, acc: 0.343750] 19719: [discriminator loss: 0.516325, acc: 0.742188] [adversarial loss: 1.208127, acc: 0.187500] 19720: [discriminator loss: 0.551556, acc: 0.679688] [adversarial loss: 1.001517, acc: 0.328125] 19721: [discriminator loss: 0.513241, acc: 0.750000] [adversarial loss: 1.146168, acc: 0.296875] 19722: [discriminator loss: 0.545493, acc: 0.718750] [adversarial loss: 1.307658, acc: 0.218750] 19723: [discriminator loss: 0.600015, acc: 0.679688] [adversarial loss: 1.606220, acc: 0.109375] 19724: [discriminator loss: 0.583728, acc: 0.640625] [adversarial loss: 0.962483, acc: 0.484375] 19725: [discriminator loss: 0.607990, acc: 0.671875] [adversarial loss: 1.799745, acc: 0.078125] 19726: [discriminator loss: 0.567362, acc: 0.679688] [adversarial loss: 0.995539, acc: 0.390625] 19727: [discriminator loss: 0.561864, acc: 0.695312] [adversarial loss: 1.606337, acc: 0.140625] 19728: [discriminator loss: 0.644851, acc: 0.648438] [adversarial loss: 0.919481, acc: 0.484375] 19729: [discriminator loss: 0.580586, acc: 0.648438] [adversarial loss: 1.786152, acc: 0.078125] 19730: [discriminator loss: 0.602219, acc: 0.671875] [adversarial loss: 0.894772, acc: 0.421875] 19731: [discriminator loss: 0.599477, acc: 0.640625] [adversarial loss: 1.386229, acc: 0.140625] 19732: [discriminator loss: 0.553983, acc: 0.710938] [adversarial loss: 1.176887, acc: 0.312500] 19733: [discriminator loss: 0.504998, acc: 0.765625] [adversarial loss: 1.286099, acc: 0.218750] 19734: [discriminator loss: 0.493704, acc: 0.734375] [adversarial loss: 1.210441, acc: 0.250000] 19735: [discriminator loss: 0.541606, acc: 0.710938] [adversarial loss: 1.167228, acc: 0.234375] 19736: [discriminator loss: 0.430960, acc: 0.828125] [adversarial loss: 1.159027, acc: 0.250000] 19737: [discriminator loss: 0.483238, acc: 0.796875] [adversarial loss: 1.031437, acc: 0.265625] 19738: [discriminator loss: 0.416407, acc: 0.875000] [adversarial loss: 1.116878, acc: 0.265625] 19739: [discriminator loss: 0.569675, acc: 0.656250] [adversarial loss: 1.447580, acc: 0.093750] 19740: [discriminator loss: 0.543234, acc: 0.687500] [adversarial loss: 0.764869, acc: 0.515625] 19741: [discriminator loss: 0.529320, acc: 0.710938] [adversarial loss: 1.247965, acc: 0.187500] 19742: [discriminator loss: 0.561290, acc: 0.679688] [adversarial loss: 1.018057, acc: 0.375000] 19743: [discriminator loss: 0.534086, acc: 0.695312] [adversarial loss: 1.253253, acc: 0.234375] 19744: [discriminator loss: 0.556106, acc: 0.687500] [adversarial loss: 0.767950, acc: 0.562500] 19745: [discriminator loss: 0.566860, acc: 0.734375] [adversarial loss: 1.675580, acc: 0.031250] 19746: [discriminator loss: 0.555950, acc: 0.679688] [adversarial loss: 0.831245, acc: 0.484375] 19747: [discriminator loss: 0.634153, acc: 0.671875] [adversarial loss: 1.672393, acc: 0.078125] 19748: [discriminator loss: 0.684378, acc: 0.617188] [adversarial loss: 0.783176, acc: 0.500000] 19749: [discriminator loss: 0.549737, acc: 0.718750] [adversarial loss: 1.335044, acc: 0.156250] 19750: [discriminator loss: 0.504016, acc: 0.687500] [adversarial loss: 1.147209, acc: 0.312500] 19751: [discriminator loss: 0.496704, acc: 0.773438] [adversarial loss: 1.101879, acc: 0.328125] 19752: [discriminator loss: 0.537359, acc: 0.757812] [adversarial loss: 1.149555, acc: 0.281250] 19753: [discriminator loss: 0.500935, acc: 0.757812] [adversarial loss: 0.999246, acc: 0.328125] 19754: [discriminator loss: 0.559046, acc: 0.687500] [adversarial loss: 1.456683, acc: 0.109375] 19755: [discriminator loss: 0.600107, acc: 0.710938] [adversarial loss: 0.862899, acc: 0.468750] 19756: [discriminator loss: 0.630786, acc: 0.632812] [adversarial loss: 1.180236, acc: 0.250000] 19757: [discriminator loss: 0.550954, acc: 0.695312] [adversarial loss: 1.037311, acc: 0.281250] 19758: [discriminator loss: 0.471640, acc: 0.750000] [adversarial loss: 1.319514, acc: 0.093750] 19759: [discriminator loss: 0.523266, acc: 0.726562] [adversarial loss: 0.815221, acc: 0.593750] 19760: [discriminator loss: 0.583554, acc: 0.671875] [adversarial loss: 1.563937, acc: 0.125000] 19761: [discriminator loss: 0.535659, acc: 0.703125] [adversarial loss: 0.845166, acc: 0.390625] 19762: [discriminator loss: 0.501261, acc: 0.773438] [adversarial loss: 1.293447, acc: 0.156250] 19763: [discriminator loss: 0.544044, acc: 0.742188] [adversarial loss: 1.236709, acc: 0.265625] 19764: [discriminator loss: 0.577378, acc: 0.695312] [adversarial loss: 1.040919, acc: 0.390625] 19765: [discriminator loss: 0.638900, acc: 0.679688] [adversarial loss: 1.159892, acc: 0.250000] 19766: [discriminator loss: 0.556380, acc: 0.718750] [adversarial loss: 1.226280, acc: 0.281250] 19767: [discriminator loss: 0.546086, acc: 0.687500] [adversarial loss: 1.343260, acc: 0.187500] 19768: [discriminator loss: 0.571209, acc: 0.695312] [adversarial loss: 1.055347, acc: 0.406250] 19769: [discriminator loss: 0.546004, acc: 0.742188] [adversarial loss: 1.228681, acc: 0.250000] 19770: [discriminator loss: 0.561026, acc: 0.734375] [adversarial loss: 1.295950, acc: 0.187500] 19771: [discriminator loss: 0.526021, acc: 0.734375] [adversarial loss: 1.276327, acc: 0.234375] 19772: [discriminator loss: 0.520859, acc: 0.765625] [adversarial loss: 1.307401, acc: 0.234375] 19773: [discriminator loss: 0.569145, acc: 0.710938] [adversarial loss: 1.190654, acc: 0.265625] 19774: [discriminator loss: 0.560191, acc: 0.734375] [adversarial loss: 1.201887, acc: 0.234375] 19775: [discriminator loss: 0.597124, acc: 0.726562] [adversarial loss: 1.363569, acc: 0.156250] 19776: [discriminator loss: 0.480551, acc: 0.781250] [adversarial loss: 0.975407, acc: 0.328125] 19777: [discriminator loss: 0.554806, acc: 0.695312] [adversarial loss: 1.254689, acc: 0.234375] 19778: [discriminator loss: 0.592254, acc: 0.687500] [adversarial loss: 0.943464, acc: 0.328125] 19779: [discriminator loss: 0.577757, acc: 0.695312] [adversarial loss: 1.757230, acc: 0.031250] 19780: [discriminator loss: 0.617462, acc: 0.640625] [adversarial loss: 0.723894, acc: 0.578125] 19781: [discriminator loss: 0.530690, acc: 0.687500] [adversarial loss: 1.527238, acc: 0.109375] 19782: [discriminator loss: 0.502606, acc: 0.726562] [adversarial loss: 0.858193, acc: 0.500000] 19783: [discriminator loss: 0.620642, acc: 0.656250] [adversarial loss: 1.328653, acc: 0.125000] 19784: [discriminator loss: 0.565381, acc: 0.671875] [adversarial loss: 0.936626, acc: 0.359375] 19785: [discriminator loss: 0.606276, acc: 0.648438] [adversarial loss: 1.240825, acc: 0.203125] 19786: [discriminator loss: 0.506657, acc: 0.734375] [adversarial loss: 1.177239, acc: 0.218750] 19787: [discriminator loss: 0.526872, acc: 0.750000] [adversarial loss: 1.130820, acc: 0.234375] 19788: [discriminator loss: 0.534542, acc: 0.734375] [adversarial loss: 1.135961, acc: 0.265625] 19789: [discriminator loss: 0.547419, acc: 0.671875] [adversarial loss: 0.924668, acc: 0.437500] 19790: [discriminator loss: 0.645299, acc: 0.570312] [adversarial loss: 1.524444, acc: 0.062500] 19791: [discriminator loss: 0.563182, acc: 0.687500] [adversarial loss: 0.872187, acc: 0.437500] 19792: [discriminator loss: 0.599629, acc: 0.640625] [adversarial loss: 1.278211, acc: 0.312500] 19793: [discriminator loss: 0.560355, acc: 0.664062] [adversarial loss: 1.028999, acc: 0.328125] 19794: [discriminator loss: 0.551794, acc: 0.757812] [adversarial loss: 1.642670, acc: 0.140625] 19795: [discriminator loss: 0.539258, acc: 0.695312] [adversarial loss: 1.016685, acc: 0.359375] 19796: [discriminator loss: 0.517319, acc: 0.750000] [adversarial loss: 1.207395, acc: 0.296875] 19797: [discriminator loss: 0.484114, acc: 0.781250] [adversarial loss: 1.222055, acc: 0.265625] 19798: [discriminator loss: 0.548529, acc: 0.671875] [adversarial loss: 1.296337, acc: 0.218750] 19799: [discriminator loss: 0.538676, acc: 0.710938] [adversarial loss: 1.040881, acc: 0.359375] 19800: [discriminator loss: 0.509621, acc: 0.726562] [adversarial loss: 1.374432, acc: 0.187500] 19801: [discriminator loss: 0.551336, acc: 0.687500] [adversarial loss: 1.109732, acc: 0.234375] 19802: [discriminator loss: 0.521475, acc: 0.757812] [adversarial loss: 1.199486, acc: 0.218750] 19803: [discriminator loss: 0.559572, acc: 0.734375] [adversarial loss: 1.010761, acc: 0.359375] 19804: [discriminator loss: 0.544884, acc: 0.718750] [adversarial loss: 1.249165, acc: 0.218750] 19805: [discriminator loss: 0.489918, acc: 0.718750] [adversarial loss: 0.992421, acc: 0.359375] 19806: [discriminator loss: 0.494098, acc: 0.750000] [adversarial loss: 1.671692, acc: 0.015625] 19807: [discriminator loss: 0.532846, acc: 0.695312] [adversarial loss: 0.723119, acc: 0.546875] 19808: [discriminator loss: 0.632876, acc: 0.664062] [adversarial loss: 1.758840, acc: 0.062500] 19809: [discriminator loss: 0.655677, acc: 0.640625] [adversarial loss: 0.901806, acc: 0.390625] 19810: [discriminator loss: 0.594254, acc: 0.695312] [adversarial loss: 1.451087, acc: 0.171875] 19811: [discriminator loss: 0.606856, acc: 0.648438] [adversarial loss: 1.077228, acc: 0.312500] 19812: [discriminator loss: 0.538934, acc: 0.757812] [adversarial loss: 1.132774, acc: 0.359375] 19813: [discriminator loss: 0.463060, acc: 0.796875] [adversarial loss: 1.170675, acc: 0.218750] 19814: [discriminator loss: 0.532529, acc: 0.750000] [adversarial loss: 1.209519, acc: 0.234375] 19815: [discriminator loss: 0.478860, acc: 0.781250] [adversarial loss: 1.183573, acc: 0.265625] 19816: [discriminator loss: 0.571381, acc: 0.679688] [adversarial loss: 1.121132, acc: 0.328125] 19817: [discriminator loss: 0.447008, acc: 0.812500] [adversarial loss: 1.353263, acc: 0.156250] 19818: [discriminator loss: 0.531501, acc: 0.734375] [adversarial loss: 0.951290, acc: 0.343750] 19819: [discriminator loss: 0.592464, acc: 0.664062] [adversarial loss: 1.518057, acc: 0.140625] 19820: [discriminator loss: 0.664065, acc: 0.617188] [adversarial loss: 0.943857, acc: 0.406250] 19821: [discriminator loss: 0.626130, acc: 0.664062] [adversarial loss: 1.365101, acc: 0.156250] 19822: [discriminator loss: 0.557460, acc: 0.710938] [adversarial loss: 1.055023, acc: 0.328125] 19823: [discriminator loss: 0.509279, acc: 0.750000] [adversarial loss: 1.309047, acc: 0.156250] 19824: [discriminator loss: 0.548680, acc: 0.718750] [adversarial loss: 1.259939, acc: 0.203125] 19825: [discriminator loss: 0.530340, acc: 0.796875] [adversarial loss: 1.138070, acc: 0.281250] 19826: [discriminator loss: 0.495720, acc: 0.773438] [adversarial loss: 0.761658, acc: 0.500000] 19827: [discriminator loss: 0.544367, acc: 0.710938] [adversarial loss: 1.400383, acc: 0.093750] 19828: [discriminator loss: 0.609900, acc: 0.656250] [adversarial loss: 1.097978, acc: 0.390625] 19829: [discriminator loss: 0.547430, acc: 0.703125] [adversarial loss: 1.031957, acc: 0.296875] 19830: [discriminator loss: 0.560843, acc: 0.726562] [adversarial loss: 1.250422, acc: 0.156250] 19831: [discriminator loss: 0.555164, acc: 0.757812] [adversarial loss: 0.814874, acc: 0.437500] 19832: [discriminator loss: 0.523927, acc: 0.789062] [adversarial loss: 1.370633, acc: 0.125000] 19833: [discriminator loss: 0.504684, acc: 0.703125] [adversarial loss: 1.027964, acc: 0.359375] 19834: [discriminator loss: 0.566724, acc: 0.718750] [adversarial loss: 1.734493, acc: 0.046875] 19835: [discriminator loss: 0.602301, acc: 0.648438] [adversarial loss: 0.703996, acc: 0.578125] 19836: [discriminator loss: 0.654225, acc: 0.664062] [adversarial loss: 1.637680, acc: 0.093750] 19837: [discriminator loss: 0.527607, acc: 0.726562] [adversarial loss: 0.972625, acc: 0.375000] 19838: [discriminator loss: 0.539830, acc: 0.718750] [adversarial loss: 1.173421, acc: 0.250000] 19839: [discriminator loss: 0.461577, acc: 0.804688] [adversarial loss: 0.996735, acc: 0.312500] 19840: [discriminator loss: 0.492380, acc: 0.742188] [adversarial loss: 1.360639, acc: 0.156250] 19841: [discriminator loss: 0.431208, acc: 0.789062] [adversarial loss: 0.994268, acc: 0.390625] 19842: [discriminator loss: 0.604959, acc: 0.656250] [adversarial loss: 1.517288, acc: 0.109375] 19843: [discriminator loss: 0.548542, acc: 0.648438] [adversarial loss: 0.944600, acc: 0.546875] 19844: [discriminator loss: 0.527619, acc: 0.726562] [adversarial loss: 1.367700, acc: 0.203125] 19845: [discriminator loss: 0.527710, acc: 0.718750] [adversarial loss: 0.825945, acc: 0.421875] 19846: [discriminator loss: 0.621850, acc: 0.640625] [adversarial loss: 1.336119, acc: 0.171875] 19847: [discriminator loss: 0.485044, acc: 0.765625] [adversarial loss: 1.089610, acc: 0.281250] 19848: [discriminator loss: 0.524823, acc: 0.765625] [adversarial loss: 1.098047, acc: 0.265625] 19849: [discriminator loss: 0.568261, acc: 0.710938] [adversarial loss: 1.451891, acc: 0.171875] 19850: [discriminator loss: 0.575736, acc: 0.703125] [adversarial loss: 1.016770, acc: 0.406250] 19851: [discriminator loss: 0.604238, acc: 0.664062] [adversarial loss: 1.326743, acc: 0.234375] 19852: [discriminator loss: 0.524544, acc: 0.664062] [adversarial loss: 0.983764, acc: 0.375000] 19853: [discriminator loss: 0.561612, acc: 0.726562] [adversarial loss: 1.386051, acc: 0.140625] 19854: [discriminator loss: 0.529416, acc: 0.742188] [adversarial loss: 0.975783, acc: 0.359375] 19855: [discriminator loss: 0.484156, acc: 0.804688] [adversarial loss: 1.409327, acc: 0.171875] 19856: [discriminator loss: 0.465213, acc: 0.781250] [adversarial loss: 0.969631, acc: 0.437500] 19857: [discriminator loss: 0.554350, acc: 0.742188] [adversarial loss: 1.336368, acc: 0.093750] 19858: [discriminator loss: 0.622099, acc: 0.656250] [adversarial loss: 0.945950, acc: 0.437500] 19859: [discriminator loss: 0.535977, acc: 0.750000] [adversarial loss: 1.343136, acc: 0.187500] 19860: [discriminator loss: 0.539641, acc: 0.710938] [adversarial loss: 0.916132, acc: 0.531250] 19861: [discriminator loss: 0.507846, acc: 0.742188] [adversarial loss: 1.537900, acc: 0.156250] 19862: [discriminator loss: 0.595660, acc: 0.640625] [adversarial loss: 0.927065, acc: 0.437500] 19863: [discriminator loss: 0.509747, acc: 0.734375] [adversarial loss: 1.470649, acc: 0.187500] 19864: [discriminator loss: 0.560665, acc: 0.703125] [adversarial loss: 0.917069, acc: 0.437500] 19865: [discriminator loss: 0.542234, acc: 0.726562] [adversarial loss: 1.434961, acc: 0.187500] 19866: [discriminator loss: 0.560178, acc: 0.703125] [adversarial loss: 1.039321, acc: 0.312500] 19867: [discriminator loss: 0.539608, acc: 0.742188] [adversarial loss: 1.522818, acc: 0.140625] 19868: [discriminator loss: 0.632352, acc: 0.625000] [adversarial loss: 0.740639, acc: 0.578125] 19869: [discriminator loss: 0.555765, acc: 0.695312] [adversarial loss: 1.466410, acc: 0.062500] 19870: [discriminator loss: 0.598065, acc: 0.656250] [adversarial loss: 0.895233, acc: 0.375000] 19871: [discriminator loss: 0.537656, acc: 0.726562] [adversarial loss: 1.535502, acc: 0.156250] 19872: [discriminator loss: 0.579729, acc: 0.703125] [adversarial loss: 0.860105, acc: 0.468750] 19873: [discriminator loss: 0.501160, acc: 0.750000] [adversarial loss: 1.491569, acc: 0.156250] 19874: [discriminator loss: 0.547600, acc: 0.679688] [adversarial loss: 0.946203, acc: 0.453125] 19875: [discriminator loss: 0.560398, acc: 0.710938] [adversarial loss: 1.228150, acc: 0.265625] 19876: [discriminator loss: 0.605116, acc: 0.679688] [adversarial loss: 1.207660, acc: 0.281250] 19877: [discriminator loss: 0.502631, acc: 0.742188] [adversarial loss: 1.119994, acc: 0.265625] 19878: [discriminator loss: 0.481099, acc: 0.765625] [adversarial loss: 1.230527, acc: 0.218750] 19879: [discriminator loss: 0.530505, acc: 0.757812] [adversarial loss: 1.282834, acc: 0.156250] 19880: [discriminator loss: 0.553171, acc: 0.679688] [adversarial loss: 1.080338, acc: 0.343750] 19881: [discriminator loss: 0.542041, acc: 0.742188] [adversarial loss: 1.149688, acc: 0.281250] 19882: [discriminator loss: 0.533127, acc: 0.710938] [adversarial loss: 1.058158, acc: 0.437500] 19883: [discriminator loss: 0.557150, acc: 0.687500] [adversarial loss: 1.365660, acc: 0.078125] 19884: [discriminator loss: 0.599955, acc: 0.679688] [adversarial loss: 0.714217, acc: 0.562500] 19885: [discriminator loss: 0.530326, acc: 0.710938] [adversarial loss: 1.674243, acc: 0.093750] 19886: [discriminator loss: 0.652237, acc: 0.617188] [adversarial loss: 0.881655, acc: 0.437500] 19887: [discriminator loss: 0.617588, acc: 0.656250] [adversarial loss: 1.145383, acc: 0.187500] 19888: [discriminator loss: 0.549395, acc: 0.710938] [adversarial loss: 1.019465, acc: 0.421875] 19889: [discriminator loss: 0.530340, acc: 0.734375] [adversarial loss: 1.413502, acc: 0.171875] 19890: [discriminator loss: 0.612362, acc: 0.648438] [adversarial loss: 1.181296, acc: 0.250000] 19891: [discriminator loss: 0.485394, acc: 0.812500] [adversarial loss: 1.165014, acc: 0.343750] 19892: [discriminator loss: 0.612696, acc: 0.617188] [adversarial loss: 1.203588, acc: 0.234375] 19893: [discriminator loss: 0.489818, acc: 0.796875] [adversarial loss: 1.150616, acc: 0.328125] 19894: [discriminator loss: 0.495608, acc: 0.734375] [adversarial loss: 1.366898, acc: 0.234375] 19895: [discriminator loss: 0.491723, acc: 0.750000] [adversarial loss: 1.149100, acc: 0.265625] 19896: [discriminator loss: 0.481713, acc: 0.781250] [adversarial loss: 1.695296, acc: 0.109375] 19897: [discriminator loss: 0.509422, acc: 0.750000] [adversarial loss: 0.805666, acc: 0.515625] 19898: [discriminator loss: 0.503316, acc: 0.765625] [adversarial loss: 1.734270, acc: 0.093750] 19899: [discriminator loss: 0.584381, acc: 0.671875] [adversarial loss: 0.785704, acc: 0.546875] 19900: [discriminator loss: 0.574908, acc: 0.710938] [adversarial loss: 1.507876, acc: 0.156250] 19901: [discriminator loss: 0.624527, acc: 0.679688] [adversarial loss: 0.941344, acc: 0.468750] 19902: [discriminator loss: 0.514971, acc: 0.757812] [adversarial loss: 1.258413, acc: 0.203125] 19903: [discriminator loss: 0.575316, acc: 0.726562] [adversarial loss: 1.335862, acc: 0.140625] 19904: [discriminator loss: 0.527126, acc: 0.695312] [adversarial loss: 0.933753, acc: 0.453125] 19905: [discriminator loss: 0.481338, acc: 0.765625] [adversarial loss: 1.193936, acc: 0.218750] 19906: [discriminator loss: 0.533037, acc: 0.710938] [adversarial loss: 1.098978, acc: 0.265625] 19907: [discriminator loss: 0.534074, acc: 0.742188] [adversarial loss: 1.294593, acc: 0.265625] 19908: [discriminator loss: 0.494756, acc: 0.757812] [adversarial loss: 1.285740, acc: 0.187500] 19909: [discriminator loss: 0.567779, acc: 0.679688] [adversarial loss: 1.123077, acc: 0.359375] 19910: [discriminator loss: 0.534858, acc: 0.726562] [adversarial loss: 1.439852, acc: 0.187500] 19911: [discriminator loss: 0.543377, acc: 0.687500] [adversarial loss: 0.968930, acc: 0.437500] 19912: [discriminator loss: 0.567054, acc: 0.679688] [adversarial loss: 1.585462, acc: 0.140625] 19913: [discriminator loss: 0.600544, acc: 0.664062] [adversarial loss: 0.801783, acc: 0.546875] 19914: [discriminator loss: 0.596346, acc: 0.664062] [adversarial loss: 1.448728, acc: 0.156250] 19915: [discriminator loss: 0.587215, acc: 0.679688] [adversarial loss: 0.951857, acc: 0.375000] 19916: [discriminator loss: 0.562740, acc: 0.710938] [adversarial loss: 1.547390, acc: 0.109375] 19917: [discriminator loss: 0.541841, acc: 0.726562] [adversarial loss: 1.206633, acc: 0.328125] 19918: [discriminator loss: 0.546857, acc: 0.710938] [adversarial loss: 1.359854, acc: 0.234375] 19919: [discriminator loss: 0.514293, acc: 0.742188] [adversarial loss: 1.088837, acc: 0.250000] 19920: [discriminator loss: 0.565323, acc: 0.695312] [adversarial loss: 1.466704, acc: 0.187500] 19921: [discriminator loss: 0.524843, acc: 0.718750] [adversarial loss: 0.941826, acc: 0.437500] 19922: [discriminator loss: 0.541507, acc: 0.695312] [adversarial loss: 1.543824, acc: 0.125000] 19923: [discriminator loss: 0.498929, acc: 0.773438] [adversarial loss: 0.996031, acc: 0.359375] 19924: [discriminator loss: 0.603380, acc: 0.710938] [adversarial loss: 1.597554, acc: 0.109375] 19925: [discriminator loss: 0.565493, acc: 0.679688] [adversarial loss: 0.935040, acc: 0.421875] 19926: [discriminator loss: 0.485170, acc: 0.773438] [adversarial loss: 1.632343, acc: 0.093750] 19927: [discriminator loss: 0.587644, acc: 0.648438] [adversarial loss: 0.877507, acc: 0.437500] 19928: [discriminator loss: 0.524969, acc: 0.718750] [adversarial loss: 1.461007, acc: 0.125000] 19929: [discriminator loss: 0.514403, acc: 0.726562] [adversarial loss: 0.945274, acc: 0.328125] 19930: [discriminator loss: 0.618822, acc: 0.632812] [adversarial loss: 1.667960, acc: 0.125000] 19931: [discriminator loss: 0.591741, acc: 0.679688] [adversarial loss: 1.099092, acc: 0.281250] 19932: [discriminator loss: 0.496447, acc: 0.750000] [adversarial loss: 1.175708, acc: 0.312500] 19933: [discriminator loss: 0.560840, acc: 0.703125] [adversarial loss: 1.067925, acc: 0.296875] 19934: [discriminator loss: 0.505679, acc: 0.750000] [adversarial loss: 1.298900, acc: 0.203125] 19935: [discriminator loss: 0.574943, acc: 0.703125] [adversarial loss: 0.861372, acc: 0.421875] 19936: [discriminator loss: 0.549362, acc: 0.710938] [adversarial loss: 1.623296, acc: 0.125000] 19937: [discriminator loss: 0.508108, acc: 0.757812] [adversarial loss: 0.951157, acc: 0.421875] 19938: [discriminator loss: 0.478284, acc: 0.742188] [adversarial loss: 1.220830, acc: 0.203125] 19939: [discriminator loss: 0.559585, acc: 0.695312] [adversarial loss: 1.228674, acc: 0.156250] 19940: [discriminator loss: 0.590012, acc: 0.664062] [adversarial loss: 1.031518, acc: 0.296875] 19941: [discriminator loss: 0.509590, acc: 0.750000] [adversarial loss: 1.331217, acc: 0.125000] 19942: [discriminator loss: 0.544842, acc: 0.742188] [adversarial loss: 0.979517, acc: 0.375000] 19943: [discriminator loss: 0.489968, acc: 0.765625] [adversarial loss: 1.085583, acc: 0.296875] 19944: [discriminator loss: 0.501411, acc: 0.710938] [adversarial loss: 1.289619, acc: 0.156250] 19945: [discriminator loss: 0.521617, acc: 0.718750] [adversarial loss: 1.063914, acc: 0.250000] 19946: [discriminator loss: 0.488482, acc: 0.773438] [adversarial loss: 1.189038, acc: 0.250000] 19947: [discriminator loss: 0.522901, acc: 0.718750] [adversarial loss: 1.160594, acc: 0.218750] 19948: [discriminator loss: 0.553487, acc: 0.671875] [adversarial loss: 1.213579, acc: 0.203125] 19949: [discriminator loss: 0.574859, acc: 0.695312] [adversarial loss: 0.885196, acc: 0.343750] 19950: [discriminator loss: 0.485226, acc: 0.796875] [adversarial loss: 1.653055, acc: 0.109375] 19951: [discriminator loss: 0.556488, acc: 0.734375] [adversarial loss: 0.939952, acc: 0.468750] 19952: [discriminator loss: 0.669050, acc: 0.609375] [adversarial loss: 1.708807, acc: 0.109375] 19953: [discriminator loss: 0.556081, acc: 0.695312] [adversarial loss: 0.696390, acc: 0.578125] 19954: [discriminator loss: 0.605950, acc: 0.648438] [adversarial loss: 1.638338, acc: 0.140625] 19955: [discriminator loss: 0.637442, acc: 0.617188] [adversarial loss: 1.008485, acc: 0.312500] 19956: [discriminator loss: 0.508107, acc: 0.726562] [adversarial loss: 1.332544, acc: 0.218750] 19957: [discriminator loss: 0.561471, acc: 0.718750] [adversarial loss: 0.953644, acc: 0.406250] 19958: [discriminator loss: 0.517882, acc: 0.679688] [adversarial loss: 1.448926, acc: 0.187500] 19959: [discriminator loss: 0.603326, acc: 0.648438] [adversarial loss: 1.042926, acc: 0.250000] 19960: [discriminator loss: 0.540997, acc: 0.710938] [adversarial loss: 1.168055, acc: 0.265625] 19961: [discriminator loss: 0.501296, acc: 0.781250] [adversarial loss: 1.111022, acc: 0.312500] 19962: [discriminator loss: 0.551065, acc: 0.671875] [adversarial loss: 1.324069, acc: 0.218750] 19963: [discriminator loss: 0.585695, acc: 0.656250] [adversarial loss: 1.130961, acc: 0.281250] 19964: [discriminator loss: 0.508225, acc: 0.742188] [adversarial loss: 1.235823, acc: 0.203125] 19965: [discriminator loss: 0.603387, acc: 0.664062] [adversarial loss: 1.081432, acc: 0.328125] 19966: [discriminator loss: 0.514572, acc: 0.695312] [adversarial loss: 1.443859, acc: 0.093750] 19967: [discriminator loss: 0.543783, acc: 0.703125] [adversarial loss: 0.885248, acc: 0.390625] 19968: [discriminator loss: 0.591525, acc: 0.710938] [adversarial loss: 1.363770, acc: 0.125000] 19969: [discriminator loss: 0.507983, acc: 0.750000] [adversarial loss: 0.862361, acc: 0.500000] 19970: [discriminator loss: 0.494905, acc: 0.703125] [adversarial loss: 1.342091, acc: 0.203125] 19971: [discriminator loss: 0.537671, acc: 0.703125] [adversarial loss: 0.801705, acc: 0.531250] 19972: [discriminator loss: 0.557552, acc: 0.757812] [adversarial loss: 1.586856, acc: 0.078125] 19973: [discriminator loss: 0.632312, acc: 0.625000] [adversarial loss: 0.860978, acc: 0.484375] 19974: [discriminator loss: 0.622777, acc: 0.671875] [adversarial loss: 1.508764, acc: 0.078125] 19975: [discriminator loss: 0.562034, acc: 0.632812] [adversarial loss: 1.248089, acc: 0.234375] 19976: [discriminator loss: 0.542281, acc: 0.703125] [adversarial loss: 1.313534, acc: 0.203125] 19977: [discriminator loss: 0.529116, acc: 0.718750] [adversarial loss: 1.290067, acc: 0.234375] 19978: [discriminator loss: 0.554309, acc: 0.695312] [adversarial loss: 1.396405, acc: 0.125000] 19979: [discriminator loss: 0.599786, acc: 0.695312] [adversarial loss: 0.935715, acc: 0.359375] 19980: [discriminator loss: 0.515026, acc: 0.765625] [adversarial loss: 1.508068, acc: 0.171875] 19981: [discriminator loss: 0.536595, acc: 0.671875] [adversarial loss: 0.917660, acc: 0.484375] 19982: [discriminator loss: 0.584382, acc: 0.718750] [adversarial loss: 1.295534, acc: 0.125000] 19983: [discriminator loss: 0.560532, acc: 0.679688] [adversarial loss: 0.958534, acc: 0.406250] 19984: [discriminator loss: 0.527928, acc: 0.742188] [adversarial loss: 1.437617, acc: 0.078125] 19985: [discriminator loss: 0.607918, acc: 0.648438] [adversarial loss: 0.844903, acc: 0.406250] 19986: [discriminator loss: 0.539158, acc: 0.671875] [adversarial loss: 1.606310, acc: 0.109375] 19987: [discriminator loss: 0.603951, acc: 0.648438] [adversarial loss: 0.929167, acc: 0.390625] 19988: [discriminator loss: 0.640002, acc: 0.617188] [adversarial loss: 1.637188, acc: 0.109375] 19989: [discriminator loss: 0.573325, acc: 0.671875] [adversarial loss: 0.977055, acc: 0.421875] 19990: [discriminator loss: 0.521021, acc: 0.718750] [adversarial loss: 1.312362, acc: 0.203125] 19991: [discriminator loss: 0.540546, acc: 0.742188] [adversarial loss: 0.974565, acc: 0.312500] 19992: [discriminator loss: 0.543516, acc: 0.750000] [adversarial loss: 1.162766, acc: 0.312500] 19993: [discriminator loss: 0.544636, acc: 0.656250] [adversarial loss: 0.885057, acc: 0.468750] 19994: [discriminator loss: 0.561294, acc: 0.710938] [adversarial loss: 1.376470, acc: 0.203125] 19995: [discriminator loss: 0.546295, acc: 0.726562] [adversarial loss: 1.025343, acc: 0.437500] 19996: [discriminator loss: 0.528147, acc: 0.703125] [adversarial loss: 1.445437, acc: 0.187500] 19997: [discriminator loss: 0.564273, acc: 0.710938] [adversarial loss: 1.144135, acc: 0.250000] 19998: [discriminator loss: 0.511047, acc: 0.710938] [adversarial loss: 1.145313, acc: 0.343750] 19999: [discriminator loss: 0.548890, acc: 0.718750] [adversarial loss: 1.175206, acc: 0.328125] 20000: [discriminator loss: 0.545769, acc: 0.695312] [adversarial loss: 0.904889, acc: 0.453125] 20001: [discriminator loss: 0.588752, acc: 0.726562] [adversarial loss: 1.298796, acc: 0.265625] 20002: [discriminator loss: 0.601208, acc: 0.656250] [adversarial loss: 0.844451, acc: 0.468750] 20003: [discriminator loss: 0.600563, acc: 0.671875] [adversarial loss: 1.394701, acc: 0.187500] 20004: [discriminator loss: 0.565049, acc: 0.734375] [adversarial loss: 0.927905, acc: 0.421875] 20005: [discriminator loss: 0.557147, acc: 0.750000] [adversarial loss: 1.106232, acc: 0.312500] 20006: [discriminator loss: 0.575566, acc: 0.726562] [adversarial loss: 1.202021, acc: 0.203125] 20007: [discriminator loss: 0.654086, acc: 0.617188] [adversarial loss: 1.039379, acc: 0.406250] 20008: [discriminator loss: 0.538318, acc: 0.718750] [adversarial loss: 1.244941, acc: 0.187500] 20009: [discriminator loss: 0.574159, acc: 0.710938] [adversarial loss: 1.053994, acc: 0.343750] 20010: [discriminator loss: 0.472778, acc: 0.765625] [adversarial loss: 1.024692, acc: 0.281250] 20011: [discriminator loss: 0.540239, acc: 0.765625] [adversarial loss: 0.938621, acc: 0.375000] 20012: [discriminator loss: 0.590904, acc: 0.664062] [adversarial loss: 1.737460, acc: 0.062500] 20013: [discriminator loss: 0.557548, acc: 0.695312] [adversarial loss: 0.889121, acc: 0.484375] 20014: [discriminator loss: 0.543640, acc: 0.718750] [adversarial loss: 1.167374, acc: 0.265625] 20015: [discriminator loss: 0.551344, acc: 0.687500] [adversarial loss: 1.052778, acc: 0.312500] 20016: [discriminator loss: 0.544052, acc: 0.734375] [adversarial loss: 1.284184, acc: 0.203125] 20017: [discriminator loss: 0.628790, acc: 0.609375] [adversarial loss: 1.148667, acc: 0.265625] 20018: [discriminator loss: 0.560476, acc: 0.726562] [adversarial loss: 1.263307, acc: 0.171875] 20019: [discriminator loss: 0.555462, acc: 0.750000] [adversarial loss: 1.065972, acc: 0.328125] 20020: [discriminator loss: 0.525887, acc: 0.710938] [adversarial loss: 1.145345, acc: 0.296875] 20021: [discriminator loss: 0.496573, acc: 0.750000] [adversarial loss: 1.121675, acc: 0.234375] 20022: [discriminator loss: 0.589519, acc: 0.671875] [adversarial loss: 1.138360, acc: 0.296875] 20023: [discriminator loss: 0.520766, acc: 0.726562] [adversarial loss: 1.284026, acc: 0.187500] 20024: [discriminator loss: 0.581623, acc: 0.687500] [adversarial loss: 1.185762, acc: 0.296875] 20025: [discriminator loss: 0.532272, acc: 0.742188] [adversarial loss: 1.335373, acc: 0.234375] 20026: [discriminator loss: 0.571813, acc: 0.679688] [adversarial loss: 1.059458, acc: 0.234375] 20027: [discriminator loss: 0.572548, acc: 0.695312] [adversarial loss: 1.515675, acc: 0.093750] 20028: [discriminator loss: 0.549644, acc: 0.718750] [adversarial loss: 0.917373, acc: 0.406250] 20029: [discriminator loss: 0.586800, acc: 0.710938] [adversarial loss: 1.639589, acc: 0.125000] 20030: [discriminator loss: 0.539759, acc: 0.718750] [adversarial loss: 0.770902, acc: 0.500000] 20031: [discriminator loss: 0.605000, acc: 0.648438] [adversarial loss: 1.654219, acc: 0.109375] 20032: [discriminator loss: 0.566375, acc: 0.640625] [adversarial loss: 1.022079, acc: 0.390625] 20033: [discriminator loss: 0.494587, acc: 0.765625] [adversarial loss: 1.388385, acc: 0.171875] 20034: [discriminator loss: 0.487803, acc: 0.757812] [adversarial loss: 0.982969, acc: 0.437500] 20035: [discriminator loss: 0.653004, acc: 0.640625] [adversarial loss: 1.241907, acc: 0.187500] 20036: [discriminator loss: 0.546359, acc: 0.726562] [adversarial loss: 0.907258, acc: 0.437500] 20037: [discriminator loss: 0.473179, acc: 0.796875] [adversarial loss: 1.369071, acc: 0.140625] 20038: [discriminator loss: 0.577439, acc: 0.671875] [adversarial loss: 0.927878, acc: 0.359375] 20039: [discriminator loss: 0.572874, acc: 0.710938] [adversarial loss: 1.354622, acc: 0.171875] 20040: [discriminator loss: 0.495620, acc: 0.726562] [adversarial loss: 1.145483, acc: 0.250000] 20041: [discriminator loss: 0.536633, acc: 0.734375] [adversarial loss: 1.225689, acc: 0.218750] 20042: [discriminator loss: 0.508103, acc: 0.742188] [adversarial loss: 1.156079, acc: 0.265625] 20043: [discriminator loss: 0.489428, acc: 0.742188] [adversarial loss: 1.148307, acc: 0.265625] 20044: [discriminator loss: 0.538056, acc: 0.703125] [adversarial loss: 1.070781, acc: 0.359375] 20045: [discriminator loss: 0.540265, acc: 0.718750] [adversarial loss: 1.139808, acc: 0.359375] 20046: [discriminator loss: 0.501934, acc: 0.757812] [adversarial loss: 1.016302, acc: 0.359375] 20047: [discriminator loss: 0.539516, acc: 0.750000] [adversarial loss: 1.356196, acc: 0.109375] 20048: [discriminator loss: 0.549130, acc: 0.703125] [adversarial loss: 1.066808, acc: 0.312500] 20049: [discriminator loss: 0.493734, acc: 0.773438] [adversarial loss: 1.653024, acc: 0.078125] 20050: [discriminator loss: 0.579541, acc: 0.656250] [adversarial loss: 0.848267, acc: 0.531250] 20051: [discriminator loss: 0.605786, acc: 0.640625] [adversarial loss: 1.566289, acc: 0.109375] 20052: [discriminator loss: 0.529944, acc: 0.710938] [adversarial loss: 0.857270, acc: 0.515625] 20053: [discriminator loss: 0.646652, acc: 0.625000] [adversarial loss: 2.006289, acc: 0.046875] 20054: [discriminator loss: 0.638565, acc: 0.625000] [adversarial loss: 1.009744, acc: 0.375000] 20055: [discriminator loss: 0.593567, acc: 0.687500] [adversarial loss: 1.367465, acc: 0.171875] 20056: [discriminator loss: 0.562098, acc: 0.687500] [adversarial loss: 0.900734, acc: 0.437500] 20057: [discriminator loss: 0.530128, acc: 0.750000] [adversarial loss: 1.311967, acc: 0.171875] 20058: [discriminator loss: 0.522732, acc: 0.734375] [adversarial loss: 0.977703, acc: 0.406250] 20059: [discriminator loss: 0.536429, acc: 0.718750] [adversarial loss: 1.094339, acc: 0.156250] 20060: [discriminator loss: 0.514916, acc: 0.703125] [adversarial loss: 0.969732, acc: 0.328125] 20061: [discriminator loss: 0.536698, acc: 0.765625] [adversarial loss: 1.356443, acc: 0.125000] 20062: [discriminator loss: 0.486534, acc: 0.734375] [adversarial loss: 1.092167, acc: 0.421875] 20063: [discriminator loss: 0.578395, acc: 0.687500] [adversarial loss: 1.961910, acc: 0.093750] 20064: [discriminator loss: 0.587730, acc: 0.671875] [adversarial loss: 0.769491, acc: 0.546875] 20065: [discriminator loss: 0.634926, acc: 0.671875] [adversarial loss: 1.336050, acc: 0.218750] 20066: [discriminator loss: 0.575079, acc: 0.710938] [adversarial loss: 1.023371, acc: 0.312500] 20067: [discriminator loss: 0.536192, acc: 0.710938] [adversarial loss: 1.365096, acc: 0.125000] 20068: [discriminator loss: 0.495883, acc: 0.734375] [adversarial loss: 1.112599, acc: 0.250000] 20069: [discriminator loss: 0.564665, acc: 0.703125] [adversarial loss: 0.999040, acc: 0.359375] 20070: [discriminator loss: 0.476312, acc: 0.773438] [adversarial loss: 1.178085, acc: 0.296875] 20071: [discriminator loss: 0.583651, acc: 0.664062] [adversarial loss: 1.057281, acc: 0.296875] 20072: [discriminator loss: 0.598436, acc: 0.687500] [adversarial loss: 1.662625, acc: 0.062500] 20073: [discriminator loss: 0.579339, acc: 0.632812] [adversarial loss: 0.992600, acc: 0.328125] 20074: [discriminator loss: 0.553145, acc: 0.726562] [adversarial loss: 1.134412, acc: 0.312500] 20075: [discriminator loss: 0.515985, acc: 0.734375] [adversarial loss: 1.080602, acc: 0.312500] 20076: [discriminator loss: 0.559819, acc: 0.656250] [adversarial loss: 1.421875, acc: 0.140625] 20077: [discriminator loss: 0.506989, acc: 0.710938] [adversarial loss: 0.936672, acc: 0.453125] 20078: [discriminator loss: 0.466856, acc: 0.773438] [adversarial loss: 1.173856, acc: 0.296875] 20079: [discriminator loss: 0.592958, acc: 0.703125] [adversarial loss: 1.024261, acc: 0.250000] 20080: [discriminator loss: 0.519659, acc: 0.742188] [adversarial loss: 1.582412, acc: 0.156250] 20081: [discriminator loss: 0.521516, acc: 0.781250] [adversarial loss: 0.633836, acc: 0.593750] 20082: [discriminator loss: 0.576636, acc: 0.750000] [adversarial loss: 1.245998, acc: 0.171875] 20083: [discriminator loss: 0.531435, acc: 0.718750] [adversarial loss: 0.963463, acc: 0.390625] 20084: [discriminator loss: 0.495663, acc: 0.742188] [adversarial loss: 1.421745, acc: 0.156250] 20085: [discriminator loss: 0.611961, acc: 0.640625] [adversarial loss: 1.113664, acc: 0.296875] 20086: [discriminator loss: 0.489318, acc: 0.765625] [adversarial loss: 0.892148, acc: 0.421875] 20087: [discriminator loss: 0.552999, acc: 0.718750] [adversarial loss: 1.123536, acc: 0.312500] 20088: [discriminator loss: 0.553693, acc: 0.718750] [adversarial loss: 1.105696, acc: 0.296875] 20089: [discriminator loss: 0.483471, acc: 0.804688] [adversarial loss: 1.176584, acc: 0.312500] 20090: [discriminator loss: 0.591415, acc: 0.703125] [adversarial loss: 0.883377, acc: 0.453125] 20091: [discriminator loss: 0.526153, acc: 0.703125] [adversarial loss: 1.404284, acc: 0.140625] 20092: [discriminator loss: 0.645666, acc: 0.679688] [adversarial loss: 0.849594, acc: 0.421875] 20093: [discriminator loss: 0.591623, acc: 0.648438] [adversarial loss: 1.483957, acc: 0.125000] 20094: [discriminator loss: 0.563197, acc: 0.679688] [adversarial loss: 0.795807, acc: 0.468750] 20095: [discriminator loss: 0.649747, acc: 0.679688] [adversarial loss: 1.468305, acc: 0.125000] 20096: [discriminator loss: 0.548409, acc: 0.750000] [adversarial loss: 0.816593, acc: 0.500000] 20097: [discriminator loss: 0.633990, acc: 0.679688] [adversarial loss: 1.417278, acc: 0.171875] 20098: [discriminator loss: 0.563780, acc: 0.664062] [adversarial loss: 1.020433, acc: 0.312500] 20099: [discriminator loss: 0.504979, acc: 0.742188] [adversarial loss: 1.217761, acc: 0.234375] 20100: [discriminator loss: 0.523228, acc: 0.710938] [adversarial loss: 0.853366, acc: 0.562500] 20101: [discriminator loss: 0.521578, acc: 0.750000] [adversarial loss: 1.397512, acc: 0.156250] 20102: [discriminator loss: 0.571177, acc: 0.710938] [adversarial loss: 0.909545, acc: 0.437500] 20103: [discriminator loss: 0.554131, acc: 0.695312] [adversarial loss: 1.338990, acc: 0.250000] 20104: [discriminator loss: 0.570688, acc: 0.703125] [adversarial loss: 1.285235, acc: 0.234375] 20105: [discriminator loss: 0.477809, acc: 0.757812] [adversarial loss: 1.114393, acc: 0.343750] 20106: [discriminator loss: 0.626064, acc: 0.664062] [adversarial loss: 1.445826, acc: 0.187500] 20107: [discriminator loss: 0.478890, acc: 0.804688] [adversarial loss: 1.027978, acc: 0.343750] 20108: [discriminator loss: 0.574003, acc: 0.734375] [adversarial loss: 1.575888, acc: 0.062500] 20109: [discriminator loss: 0.561333, acc: 0.710938] [adversarial loss: 0.931177, acc: 0.437500] 20110: [discriminator loss: 0.503860, acc: 0.757812] [adversarial loss: 1.524989, acc: 0.046875] 20111: [discriminator loss: 0.504703, acc: 0.726562] [adversarial loss: 1.021245, acc: 0.343750] 20112: [discriminator loss: 0.555711, acc: 0.718750] [adversarial loss: 1.433399, acc: 0.140625] 20113: [discriminator loss: 0.563072, acc: 0.734375] [adversarial loss: 0.852187, acc: 0.468750] 20114: [discriminator loss: 0.523349, acc: 0.789062] [adversarial loss: 1.268377, acc: 0.265625] 20115: [discriminator loss: 0.550432, acc: 0.710938] [adversarial loss: 1.117915, acc: 0.265625] 20116: [discriminator loss: 0.558390, acc: 0.710938] [adversarial loss: 1.485735, acc: 0.078125] 20117: [discriminator loss: 0.596577, acc: 0.617188] [adversarial loss: 0.823076, acc: 0.468750] 20118: [discriminator loss: 0.589570, acc: 0.679688] [adversarial loss: 1.571898, acc: 0.125000] 20119: [discriminator loss: 0.629889, acc: 0.632812] [adversarial loss: 0.852416, acc: 0.453125] 20120: [discriminator loss: 0.526259, acc: 0.718750] [adversarial loss: 1.604781, acc: 0.171875] 20121: [discriminator loss: 0.549280, acc: 0.726562] [adversarial loss: 0.729651, acc: 0.593750] 20122: [discriminator loss: 0.579058, acc: 0.664062] [adversarial loss: 1.581057, acc: 0.171875] 20123: [discriminator loss: 0.495220, acc: 0.773438] [adversarial loss: 0.920120, acc: 0.375000] 20124: [discriminator loss: 0.564650, acc: 0.734375] [adversarial loss: 1.210965, acc: 0.171875] 20125: [discriminator loss: 0.571693, acc: 0.656250] [adversarial loss: 1.102145, acc: 0.312500] 20126: [discriminator loss: 0.547076, acc: 0.703125] [adversarial loss: 1.085709, acc: 0.187500] 20127: [discriminator loss: 0.552402, acc: 0.718750] [adversarial loss: 0.912989, acc: 0.453125] 20128: [discriminator loss: 0.529689, acc: 0.742188] [adversarial loss: 1.369482, acc: 0.125000] 20129: [discriminator loss: 0.513618, acc: 0.703125] [adversarial loss: 0.889221, acc: 0.484375] 20130: [discriminator loss: 0.594196, acc: 0.742188] [adversarial loss: 1.275650, acc: 0.171875] 20131: [discriminator loss: 0.557330, acc: 0.695312] [adversarial loss: 0.918810, acc: 0.343750] 20132: [discriminator loss: 0.556424, acc: 0.695312] [adversarial loss: 1.552192, acc: 0.109375] 20133: [discriminator loss: 0.554869, acc: 0.742188] [adversarial loss: 1.056432, acc: 0.312500] 20134: [discriminator loss: 0.585277, acc: 0.726562] [adversarial loss: 1.609203, acc: 0.078125] 20135: [discriminator loss: 0.508996, acc: 0.718750] [adversarial loss: 1.069182, acc: 0.296875] 20136: [discriminator loss: 0.623151, acc: 0.648438] [adversarial loss: 1.311530, acc: 0.203125] 20137: [discriminator loss: 0.470089, acc: 0.750000] [adversarial loss: 0.983581, acc: 0.343750] 20138: [discriminator loss: 0.479678, acc: 0.757812] [adversarial loss: 0.863282, acc: 0.437500] 20139: [discriminator loss: 0.522878, acc: 0.726562] [adversarial loss: 0.857417, acc: 0.468750] 20140: [discriminator loss: 0.481764, acc: 0.757812] [adversarial loss: 1.347661, acc: 0.187500] 20141: [discriminator loss: 0.555691, acc: 0.710938] [adversarial loss: 1.115802, acc: 0.359375] 20142: [discriminator loss: 0.622535, acc: 0.632812] [adversarial loss: 1.270514, acc: 0.171875] 20143: [discriminator loss: 0.611502, acc: 0.656250] [adversarial loss: 0.833558, acc: 0.453125] 20144: [discriminator loss: 0.479379, acc: 0.796875] [adversarial loss: 1.160875, acc: 0.234375] 20145: [discriminator loss: 0.526528, acc: 0.734375] [adversarial loss: 1.189706, acc: 0.328125] 20146: [discriminator loss: 0.484237, acc: 0.773438] [adversarial loss: 1.177219, acc: 0.296875] 20147: [discriminator loss: 0.522780, acc: 0.757812] [adversarial loss: 1.771497, acc: 0.140625] 20148: [discriminator loss: 0.603110, acc: 0.664062] [adversarial loss: 1.113651, acc: 0.328125] 20149: [discriminator loss: 0.568613, acc: 0.695312] [adversarial loss: 1.264115, acc: 0.250000] 20150: [discriminator loss: 0.556310, acc: 0.703125] [adversarial loss: 1.176230, acc: 0.296875] 20151: [discriminator loss: 0.525491, acc: 0.695312] [adversarial loss: 1.078746, acc: 0.312500] 20152: [discriminator loss: 0.515304, acc: 0.710938] [adversarial loss: 1.324530, acc: 0.187500] 20153: [discriminator loss: 0.504809, acc: 0.703125] [adversarial loss: 1.390425, acc: 0.125000] 20154: [discriminator loss: 0.487227, acc: 0.750000] [adversarial loss: 0.976281, acc: 0.406250] 20155: [discriminator loss: 0.642060, acc: 0.656250] [adversarial loss: 1.687841, acc: 0.109375] 20156: [discriminator loss: 0.592802, acc: 0.695312] [adversarial loss: 0.919656, acc: 0.437500] 20157: [discriminator loss: 0.516122, acc: 0.750000] [adversarial loss: 1.758767, acc: 0.046875] 20158: [discriminator loss: 0.538863, acc: 0.703125] [adversarial loss: 0.992892, acc: 0.406250] 20159: [discriminator loss: 0.564486, acc: 0.648438] [adversarial loss: 1.301034, acc: 0.234375] 20160: [discriminator loss: 0.553225, acc: 0.726562] [adversarial loss: 1.081176, acc: 0.343750] 20161: [discriminator loss: 0.559284, acc: 0.679688] [adversarial loss: 1.195656, acc: 0.234375] 20162: [discriminator loss: 0.502136, acc: 0.750000] [adversarial loss: 1.150490, acc: 0.234375] 20163: [discriminator loss: 0.483407, acc: 0.781250] [adversarial loss: 1.086073, acc: 0.296875] 20164: [discriminator loss: 0.556599, acc: 0.734375] [adversarial loss: 1.228020, acc: 0.218750] 20165: [discriminator loss: 0.523700, acc: 0.750000] [adversarial loss: 1.108942, acc: 0.250000] 20166: [discriminator loss: 0.554016, acc: 0.695312] [adversarial loss: 1.229643, acc: 0.265625] 20167: [discriminator loss: 0.613421, acc: 0.648438] [adversarial loss: 1.079805, acc: 0.343750] 20168: [discriminator loss: 0.526094, acc: 0.726562] [adversarial loss: 1.354610, acc: 0.156250] 20169: [discriminator loss: 0.510736, acc: 0.734375] [adversarial loss: 0.985397, acc: 0.328125] 20170: [discriminator loss: 0.556289, acc: 0.687500] [adversarial loss: 1.259120, acc: 0.187500] 20171: [discriminator loss: 0.520006, acc: 0.703125] [adversarial loss: 0.876532, acc: 0.453125] 20172: [discriminator loss: 0.549433, acc: 0.718750] [adversarial loss: 1.564930, acc: 0.125000] 20173: [discriminator loss: 0.577391, acc: 0.703125] [adversarial loss: 0.990754, acc: 0.421875] 20174: [discriminator loss: 0.472959, acc: 0.765625] [adversarial loss: 1.605650, acc: 0.109375] 20175: [discriminator loss: 0.565618, acc: 0.718750] [adversarial loss: 0.893793, acc: 0.500000] 20176: [discriminator loss: 0.612016, acc: 0.679688] [adversarial loss: 1.443123, acc: 0.187500] 20177: [discriminator loss: 0.572554, acc: 0.664062] [adversarial loss: 0.932573, acc: 0.484375] 20178: [discriminator loss: 0.545618, acc: 0.734375] [adversarial loss: 1.192730, acc: 0.218750] 20179: [discriminator loss: 0.497487, acc: 0.757812] [adversarial loss: 1.012594, acc: 0.343750] 20180: [discriminator loss: 0.491134, acc: 0.765625] [adversarial loss: 1.384851, acc: 0.218750] 20181: [discriminator loss: 0.520254, acc: 0.773438] [adversarial loss: 0.876975, acc: 0.515625] 20182: [discriminator loss: 0.590290, acc: 0.640625] [adversarial loss: 1.398926, acc: 0.281250] 20183: [discriminator loss: 0.540604, acc: 0.703125] [adversarial loss: 1.053060, acc: 0.421875] 20184: [discriminator loss: 0.565888, acc: 0.742188] [adversarial loss: 1.196843, acc: 0.250000] 20185: [discriminator loss: 0.513040, acc: 0.742188] [adversarial loss: 1.146041, acc: 0.281250] 20186: [discriminator loss: 0.556641, acc: 0.703125] [adversarial loss: 1.367014, acc: 0.218750] 20187: [discriminator loss: 0.617684, acc: 0.679688] [adversarial loss: 1.247565, acc: 0.250000] 20188: [discriminator loss: 0.532799, acc: 0.710938] [adversarial loss: 1.192181, acc: 0.312500] 20189: [discriminator loss: 0.533027, acc: 0.726562] [adversarial loss: 0.954966, acc: 0.312500] 20190: [discriminator loss: 0.528682, acc: 0.750000] [adversarial loss: 1.018694, acc: 0.312500] 20191: [discriminator loss: 0.517594, acc: 0.742188] [adversarial loss: 1.329836, acc: 0.203125] 20192: [discriminator loss: 0.585133, acc: 0.656250] [adversarial loss: 1.028847, acc: 0.421875] 20193: [discriminator loss: 0.521584, acc: 0.703125] [adversarial loss: 1.111952, acc: 0.359375] 20194: [discriminator loss: 0.584507, acc: 0.679688] [adversarial loss: 1.245714, acc: 0.187500] 20195: [discriminator loss: 0.563829, acc: 0.687500] [adversarial loss: 0.908043, acc: 0.500000] 20196: [discriminator loss: 0.594034, acc: 0.687500] [adversarial loss: 1.584380, acc: 0.046875] 20197: [discriminator loss: 0.590099, acc: 0.609375] [adversarial loss: 0.696741, acc: 0.625000] 20198: [discriminator loss: 0.691424, acc: 0.656250] [adversarial loss: 1.487572, acc: 0.078125] 20199: [discriminator loss: 0.555242, acc: 0.718750] [adversarial loss: 0.896096, acc: 0.406250] 20200: [discriminator loss: 0.581631, acc: 0.687500] [adversarial loss: 1.450153, acc: 0.078125] 20201: [discriminator loss: 0.510376, acc: 0.718750] [adversarial loss: 0.974237, acc: 0.375000] 20202: [discriminator loss: 0.524073, acc: 0.703125] [adversarial loss: 1.238358, acc: 0.234375] 20203: [discriminator loss: 0.517971, acc: 0.750000] [adversarial loss: 1.136580, acc: 0.281250] 20204: [discriminator loss: 0.506073, acc: 0.765625] [adversarial loss: 1.092530, acc: 0.312500] 20205: [discriminator loss: 0.553445, acc: 0.703125] [adversarial loss: 1.110086, acc: 0.265625] 20206: [discriminator loss: 0.563841, acc: 0.734375] [adversarial loss: 1.261821, acc: 0.312500] 20207: [discriminator loss: 0.584171, acc: 0.695312] [adversarial loss: 0.944604, acc: 0.390625] 20208: [discriminator loss: 0.555094, acc: 0.789062] [adversarial loss: 1.478826, acc: 0.140625] 20209: [discriminator loss: 0.595514, acc: 0.695312] [adversarial loss: 0.795027, acc: 0.468750] 20210: [discriminator loss: 0.619919, acc: 0.656250] [adversarial loss: 1.487595, acc: 0.078125] 20211: [discriminator loss: 0.500219, acc: 0.742188] [adversarial loss: 0.932540, acc: 0.406250] 20212: [discriminator loss: 0.550828, acc: 0.726562] [adversarial loss: 1.483140, acc: 0.140625] 20213: [discriminator loss: 0.549501, acc: 0.703125] [adversarial loss: 0.842247, acc: 0.500000] 20214: [discriminator loss: 0.496744, acc: 0.750000] [adversarial loss: 1.382965, acc: 0.187500] 20215: [discriminator loss: 0.570911, acc: 0.703125] [adversarial loss: 1.081565, acc: 0.343750] 20216: [discriminator loss: 0.501675, acc: 0.757812] [adversarial loss: 1.110729, acc: 0.328125] 20217: [discriminator loss: 0.520890, acc: 0.742188] [adversarial loss: 1.276642, acc: 0.218750] 20218: [discriminator loss: 0.567010, acc: 0.695312] [adversarial loss: 0.855713, acc: 0.468750] 20219: [discriminator loss: 0.505530, acc: 0.742188] [adversarial loss: 1.401753, acc: 0.156250] 20220: [discriminator loss: 0.562961, acc: 0.703125] [adversarial loss: 0.900568, acc: 0.500000] 20221: [discriminator loss: 0.517796, acc: 0.718750] [adversarial loss: 1.332852, acc: 0.140625] 20222: [discriminator loss: 0.504639, acc: 0.765625] [adversarial loss: 0.721093, acc: 0.609375] 20223: [discriminator loss: 0.567060, acc: 0.671875] [adversarial loss: 1.145881, acc: 0.265625] 20224: [discriminator loss: 0.502117, acc: 0.742188] [adversarial loss: 0.805664, acc: 0.468750] 20225: [discriminator loss: 0.475274, acc: 0.765625] [adversarial loss: 1.497779, acc: 0.109375] 20226: [discriminator loss: 0.578412, acc: 0.710938] [adversarial loss: 0.839458, acc: 0.468750] 20227: [discriminator loss: 0.563654, acc: 0.687500] [adversarial loss: 1.330080, acc: 0.250000] 20228: [discriminator loss: 0.580714, acc: 0.664062] [adversarial loss: 0.774838, acc: 0.468750] 20229: [discriminator loss: 0.553924, acc: 0.703125] [adversarial loss: 1.513223, acc: 0.156250] 20230: [discriminator loss: 0.582349, acc: 0.687500] [adversarial loss: 0.706596, acc: 0.531250] 20231: [discriminator loss: 0.529392, acc: 0.679688] [adversarial loss: 1.510833, acc: 0.140625] 20232: [discriminator loss: 0.538436, acc: 0.703125] [adversarial loss: 1.074497, acc: 0.343750] 20233: [discriminator loss: 0.588831, acc: 0.679688] [adversarial loss: 1.234537, acc: 0.218750] 20234: [discriminator loss: 0.585579, acc: 0.617188] [adversarial loss: 1.040401, acc: 0.312500] 20235: [discriminator loss: 0.509240, acc: 0.734375] [adversarial loss: 1.063559, acc: 0.375000] 20236: [discriminator loss: 0.533294, acc: 0.726562] [adversarial loss: 0.935847, acc: 0.343750] 20237: [discriminator loss: 0.542542, acc: 0.710938] [adversarial loss: 1.636010, acc: 0.078125] 20238: [discriminator loss: 0.572371, acc: 0.710938] [adversarial loss: 0.859768, acc: 0.437500] 20239: [discriminator loss: 0.555664, acc: 0.710938] [adversarial loss: 1.592782, acc: 0.031250] 20240: [discriminator loss: 0.532102, acc: 0.710938] [adversarial loss: 0.985274, acc: 0.312500] 20241: [discriminator loss: 0.574872, acc: 0.710938] [adversarial loss: 1.475490, acc: 0.156250] 20242: [discriminator loss: 0.537956, acc: 0.710938] [adversarial loss: 0.857139, acc: 0.406250] 20243: [discriminator loss: 0.556487, acc: 0.656250] [adversarial loss: 1.532145, acc: 0.140625] 20244: [discriminator loss: 0.582937, acc: 0.656250] [adversarial loss: 1.095995, acc: 0.218750] 20245: [discriminator loss: 0.512774, acc: 0.765625] [adversarial loss: 1.101017, acc: 0.281250] 20246: [discriminator loss: 0.574818, acc: 0.648438] [adversarial loss: 1.073120, acc: 0.281250] 20247: [discriminator loss: 0.546927, acc: 0.742188] [adversarial loss: 0.960591, acc: 0.359375] 20248: [discriminator loss: 0.545773, acc: 0.750000] [adversarial loss: 1.522261, acc: 0.109375] 20249: [discriminator loss: 0.553596, acc: 0.742188] [adversarial loss: 1.103427, acc: 0.234375] 20250: [discriminator loss: 0.522894, acc: 0.718750] [adversarial loss: 1.170534, acc: 0.234375] 20251: [discriminator loss: 0.513601, acc: 0.750000] [adversarial loss: 1.240928, acc: 0.218750] 20252: [discriminator loss: 0.489868, acc: 0.789062] [adversarial loss: 1.036937, acc: 0.390625] 20253: [discriminator loss: 0.514288, acc: 0.750000] [adversarial loss: 1.394170, acc: 0.218750] 20254: [discriminator loss: 0.535717, acc: 0.718750] [adversarial loss: 0.972684, acc: 0.375000] 20255: [discriminator loss: 0.565805, acc: 0.671875] [adversarial loss: 1.248939, acc: 0.171875] 20256: [discriminator loss: 0.586701, acc: 0.664062] [adversarial loss: 1.097692, acc: 0.312500] 20257: [discriminator loss: 0.514932, acc: 0.718750] [adversarial loss: 1.086336, acc: 0.281250] 20258: [discriminator loss: 0.573067, acc: 0.679688] [adversarial loss: 1.110125, acc: 0.265625] 20259: [discriminator loss: 0.559822, acc: 0.679688] [adversarial loss: 1.634619, acc: 0.125000] 20260: [discriminator loss: 0.612284, acc: 0.671875] [adversarial loss: 0.893323, acc: 0.515625] 20261: [discriminator loss: 0.622934, acc: 0.687500] [adversarial loss: 1.730171, acc: 0.140625] 20262: [discriminator loss: 0.612366, acc: 0.687500] [adversarial loss: 0.991748, acc: 0.328125] 20263: [discriminator loss: 0.524379, acc: 0.757812] [adversarial loss: 1.415381, acc: 0.140625] 20264: [discriminator loss: 0.552538, acc: 0.734375] [adversarial loss: 0.900947, acc: 0.359375] 20265: [discriminator loss: 0.585880, acc: 0.632812] [adversarial loss: 1.138899, acc: 0.218750] 20266: [discriminator loss: 0.523278, acc: 0.726562] [adversarial loss: 1.253951, acc: 0.171875] 20267: [discriminator loss: 0.554341, acc: 0.695312] [adversarial loss: 1.146143, acc: 0.359375] 20268: [discriminator loss: 0.533422, acc: 0.750000] [adversarial loss: 1.216841, acc: 0.218750] 20269: [discriminator loss: 0.510527, acc: 0.742188] [adversarial loss: 0.806982, acc: 0.453125] 20270: [discriminator loss: 0.516063, acc: 0.726562] [adversarial loss: 1.278588, acc: 0.171875] 20271: [discriminator loss: 0.496515, acc: 0.742188] [adversarial loss: 0.913787, acc: 0.453125] 20272: [discriminator loss: 0.537188, acc: 0.695312] [adversarial loss: 1.311385, acc: 0.156250] 20273: [discriminator loss: 0.537810, acc: 0.718750] [adversarial loss: 0.880954, acc: 0.453125] 20274: [discriminator loss: 0.537666, acc: 0.718750] [adversarial loss: 1.423598, acc: 0.234375] 20275: [discriminator loss: 0.583174, acc: 0.687500] [adversarial loss: 0.711624, acc: 0.578125] 20276: [discriminator loss: 0.511475, acc: 0.734375] [adversarial loss: 1.568781, acc: 0.140625] 20277: [discriminator loss: 0.637088, acc: 0.656250] [adversarial loss: 0.914957, acc: 0.359375] 20278: [discriminator loss: 0.539966, acc: 0.742188] [adversarial loss: 1.196020, acc: 0.234375] 20279: [discriminator loss: 0.560325, acc: 0.671875] [adversarial loss: 1.283185, acc: 0.187500] 20280: [discriminator loss: 0.493394, acc: 0.726562] [adversarial loss: 1.252723, acc: 0.218750] 20281: [discriminator loss: 0.550581, acc: 0.726562] [adversarial loss: 1.106694, acc: 0.359375] 20282: [discriminator loss: 0.506310, acc: 0.710938] [adversarial loss: 1.271098, acc: 0.187500] 20283: [discriminator loss: 0.583638, acc: 0.617188] [adversarial loss: 1.041250, acc: 0.328125] 20284: [discriminator loss: 0.548575, acc: 0.742188] [adversarial loss: 1.404979, acc: 0.187500] 20285: [discriminator loss: 0.560845, acc: 0.703125] [adversarial loss: 1.002352, acc: 0.437500] 20286: [discriminator loss: 0.538771, acc: 0.765625] [adversarial loss: 1.577840, acc: 0.109375] 20287: [discriminator loss: 0.543378, acc: 0.703125] [adversarial loss: 1.115551, acc: 0.250000] 20288: [discriminator loss: 0.538908, acc: 0.734375] [adversarial loss: 1.037136, acc: 0.281250] 20289: [discriminator loss: 0.500279, acc: 0.726562] [adversarial loss: 1.052318, acc: 0.343750] 20290: [discriminator loss: 0.617175, acc: 0.710938] [adversarial loss: 1.802161, acc: 0.078125] 20291: [discriminator loss: 0.583848, acc: 0.687500] [adversarial loss: 0.759479, acc: 0.578125] 20292: [discriminator loss: 0.515427, acc: 0.742188] [adversarial loss: 1.244517, acc: 0.234375] 20293: [discriminator loss: 0.569999, acc: 0.687500] [adversarial loss: 1.005448, acc: 0.343750] 20294: [discriminator loss: 0.501722, acc: 0.781250] [adversarial loss: 1.236855, acc: 0.250000] 20295: [discriminator loss: 0.516535, acc: 0.710938] [adversarial loss: 1.111680, acc: 0.296875] 20296: [discriminator loss: 0.582236, acc: 0.656250] [adversarial loss: 1.047287, acc: 0.375000] 20297: [discriminator loss: 0.487876, acc: 0.781250] [adversarial loss: 1.285624, acc: 0.203125] 20298: [discriminator loss: 0.548927, acc: 0.695312] [adversarial loss: 1.093405, acc: 0.234375] 20299: [discriminator loss: 0.487664, acc: 0.773438] [adversarial loss: 1.371949, acc: 0.234375] 20300: [discriminator loss: 0.557966, acc: 0.679688] [adversarial loss: 1.037698, acc: 0.312500] 20301: [discriminator loss: 0.514290, acc: 0.718750] [adversarial loss: 1.612911, acc: 0.125000] 20302: [discriminator loss: 0.606967, acc: 0.648438] [adversarial loss: 0.869322, acc: 0.468750] 20303: [discriminator loss: 0.550957, acc: 0.679688] [adversarial loss: 1.695412, acc: 0.062500] 20304: [discriminator loss: 0.544130, acc: 0.710938] [adversarial loss: 0.750859, acc: 0.500000] 20305: [discriminator loss: 0.571285, acc: 0.710938] [adversarial loss: 1.562641, acc: 0.140625] 20306: [discriminator loss: 0.573705, acc: 0.671875] [adversarial loss: 0.801908, acc: 0.484375] 20307: [discriminator loss: 0.495226, acc: 0.765625] [adversarial loss: 1.102175, acc: 0.296875] 20308: [discriminator loss: 0.513511, acc: 0.750000] [adversarial loss: 1.207444, acc: 0.218750] 20309: [discriminator loss: 0.516665, acc: 0.703125] [adversarial loss: 0.885496, acc: 0.578125] 20310: [discriminator loss: 0.504977, acc: 0.718750] [adversarial loss: 1.206484, acc: 0.203125] 20311: [discriminator loss: 0.588785, acc: 0.656250] [adversarial loss: 1.074164, acc: 0.359375] 20312: [discriminator loss: 0.570203, acc: 0.726562] [adversarial loss: 1.091504, acc: 0.359375] 20313: [discriminator loss: 0.582406, acc: 0.679688] [adversarial loss: 1.284756, acc: 0.234375] 20314: [discriminator loss: 0.580020, acc: 0.640625] [adversarial loss: 0.881976, acc: 0.500000] 20315: [discriminator loss: 0.675471, acc: 0.656250] [adversarial loss: 1.874220, acc: 0.078125] 20316: [discriminator loss: 0.595981, acc: 0.679688] [adversarial loss: 0.734004, acc: 0.593750] 20317: [discriminator loss: 0.538802, acc: 0.726562] [adversarial loss: 1.483322, acc: 0.093750] 20318: [discriminator loss: 0.542200, acc: 0.695312] [adversarial loss: 0.913601, acc: 0.359375] 20319: [discriminator loss: 0.574218, acc: 0.687500] [adversarial loss: 1.393208, acc: 0.140625] 20320: [discriminator loss: 0.547572, acc: 0.742188] [adversarial loss: 1.083617, acc: 0.281250] 20321: [discriminator loss: 0.491754, acc: 0.765625] [adversarial loss: 1.555757, acc: 0.125000] 20322: [discriminator loss: 0.532707, acc: 0.734375] [adversarial loss: 0.904079, acc: 0.437500] 20323: [discriminator loss: 0.558729, acc: 0.687500] [adversarial loss: 1.416893, acc: 0.140625] 20324: [discriminator loss: 0.610866, acc: 0.648438] [adversarial loss: 1.071031, acc: 0.296875] 20325: [discriminator loss: 0.477533, acc: 0.773438] [adversarial loss: 1.253290, acc: 0.203125] 20326: [discriminator loss: 0.571828, acc: 0.679688] [adversarial loss: 0.852085, acc: 0.484375] 20327: [discriminator loss: 0.572127, acc: 0.687500] [adversarial loss: 1.412746, acc: 0.156250] 20328: [discriminator loss: 0.542419, acc: 0.757812] [adversarial loss: 0.928940, acc: 0.468750] 20329: [discriminator loss: 0.618516, acc: 0.671875] [adversarial loss: 1.370115, acc: 0.156250] 20330: [discriminator loss: 0.547343, acc: 0.671875] [adversarial loss: 0.963308, acc: 0.421875] 20331: [discriminator loss: 0.537848, acc: 0.726562] [adversarial loss: 1.185678, acc: 0.187500] 20332: [discriminator loss: 0.563937, acc: 0.718750] [adversarial loss: 1.177146, acc: 0.234375] 20333: [discriminator loss: 0.520977, acc: 0.734375] [adversarial loss: 1.121252, acc: 0.265625] 20334: [discriminator loss: 0.600899, acc: 0.640625] [adversarial loss: 1.532733, acc: 0.125000] 20335: [discriminator loss: 0.559406, acc: 0.703125] [adversarial loss: 0.945485, acc: 0.359375] 20336: [discriminator loss: 0.528094, acc: 0.710938] [adversarial loss: 1.529856, acc: 0.078125] 20337: [discriminator loss: 0.537593, acc: 0.710938] [adversarial loss: 0.921424, acc: 0.328125] 20338: [discriminator loss: 0.512160, acc: 0.742188] [adversarial loss: 1.273160, acc: 0.171875] 20339: [discriminator loss: 0.555187, acc: 0.742188] [adversarial loss: 1.244633, acc: 0.281250] 20340: [discriminator loss: 0.605425, acc: 0.671875] [adversarial loss: 1.435167, acc: 0.109375] 20341: [discriminator loss: 0.549931, acc: 0.718750] [adversarial loss: 1.387641, acc: 0.125000] 20342: [discriminator loss: 0.541337, acc: 0.648438] [adversarial loss: 0.983872, acc: 0.421875] 20343: [discriminator loss: 0.569711, acc: 0.648438] [adversarial loss: 1.402872, acc: 0.140625] 20344: [discriminator loss: 0.489582, acc: 0.789062] [adversarial loss: 0.915810, acc: 0.406250] 20345: [discriminator loss: 0.575214, acc: 0.656250] [adversarial loss: 1.343392, acc: 0.140625] 20346: [discriminator loss: 0.537182, acc: 0.726562] [adversarial loss: 1.105839, acc: 0.265625] 20347: [discriminator loss: 0.517441, acc: 0.804688] [adversarial loss: 1.306567, acc: 0.234375] 20348: [discriminator loss: 0.555339, acc: 0.718750] [adversarial loss: 1.131593, acc: 0.265625] 20349: [discriminator loss: 0.557423, acc: 0.664062] [adversarial loss: 1.196755, acc: 0.218750] 20350: [discriminator loss: 0.551183, acc: 0.703125] [adversarial loss: 1.021211, acc: 0.359375] 20351: [discriminator loss: 0.596791, acc: 0.640625] [adversarial loss: 1.522728, acc: 0.171875] 20352: [discriminator loss: 0.497397, acc: 0.757812] [adversarial loss: 0.738561, acc: 0.562500] 20353: [discriminator loss: 0.615139, acc: 0.664062] [adversarial loss: 1.534762, acc: 0.187500] 20354: [discriminator loss: 0.542742, acc: 0.734375] [adversarial loss: 0.924469, acc: 0.500000] 20355: [discriminator loss: 0.579604, acc: 0.679688] [adversarial loss: 1.443456, acc: 0.125000] 20356: [discriminator loss: 0.543380, acc: 0.726562] [adversarial loss: 1.171675, acc: 0.265625] 20357: [discriminator loss: 0.571081, acc: 0.710938] [adversarial loss: 1.249355, acc: 0.203125] 20358: [discriminator loss: 0.538967, acc: 0.687500] [adversarial loss: 1.306625, acc: 0.171875] 20359: [discriminator loss: 0.495663, acc: 0.757812] [adversarial loss: 1.408418, acc: 0.125000] 20360: [discriminator loss: 0.558267, acc: 0.664062] [adversarial loss: 0.807309, acc: 0.515625] 20361: [discriminator loss: 0.578751, acc: 0.718750] [adversarial loss: 1.457920, acc: 0.187500] 20362: [discriminator loss: 0.563301, acc: 0.687500] [adversarial loss: 0.699291, acc: 0.531250] 20363: [discriminator loss: 0.553651, acc: 0.695312] [adversarial loss: 1.807854, acc: 0.031250] 20364: [discriminator loss: 0.534560, acc: 0.726562] [adversarial loss: 0.919374, acc: 0.437500] 20365: [discriminator loss: 0.548956, acc: 0.718750] [adversarial loss: 1.214665, acc: 0.265625] 20366: [discriminator loss: 0.581708, acc: 0.695312] [adversarial loss: 1.147244, acc: 0.250000] 20367: [discriminator loss: 0.573661, acc: 0.734375] [adversarial loss: 1.295152, acc: 0.203125] 20368: [discriminator loss: 0.539477, acc: 0.703125] [adversarial loss: 1.127642, acc: 0.218750] 20369: [discriminator loss: 0.577739, acc: 0.726562] [adversarial loss: 1.310040, acc: 0.250000] 20370: [discriminator loss: 0.572695, acc: 0.695312] [adversarial loss: 1.152884, acc: 0.250000] 20371: [discriminator loss: 0.556257, acc: 0.656250] [adversarial loss: 1.136050, acc: 0.359375] 20372: [discriminator loss: 0.634920, acc: 0.640625] [adversarial loss: 1.594831, acc: 0.109375] 20373: [discriminator loss: 0.523412, acc: 0.750000] [adversarial loss: 0.932673, acc: 0.390625] 20374: [discriminator loss: 0.593586, acc: 0.648438] [adversarial loss: 1.283804, acc: 0.265625] 20375: [discriminator loss: 0.543804, acc: 0.718750] [adversarial loss: 1.219823, acc: 0.343750] 20376: [discriminator loss: 0.485538, acc: 0.773438] [adversarial loss: 1.174556, acc: 0.250000] 20377: [discriminator loss: 0.531731, acc: 0.726562] [adversarial loss: 1.009562, acc: 0.265625] 20378: [discriminator loss: 0.587628, acc: 0.710938] [adversarial loss: 1.210594, acc: 0.250000] 20379: [discriminator loss: 0.579085, acc: 0.703125] [adversarial loss: 0.930308, acc: 0.390625] 20380: [discriminator loss: 0.579445, acc: 0.679688] [adversarial loss: 1.243130, acc: 0.187500] 20381: [discriminator loss: 0.461793, acc: 0.820312] [adversarial loss: 0.825504, acc: 0.500000] 20382: [discriminator loss: 0.604325, acc: 0.664062] [adversarial loss: 1.441601, acc: 0.171875] 20383: [discriminator loss: 0.606883, acc: 0.671875] [adversarial loss: 0.866954, acc: 0.500000] 20384: [discriminator loss: 0.564021, acc: 0.687500] [adversarial loss: 1.441658, acc: 0.234375] 20385: [discriminator loss: 0.547529, acc: 0.687500] [adversarial loss: 0.818088, acc: 0.484375] 20386: [discriminator loss: 0.545599, acc: 0.742188] [adversarial loss: 1.537039, acc: 0.140625] 20387: [discriminator loss: 0.595672, acc: 0.687500] [adversarial loss: 0.922273, acc: 0.359375] 20388: [discriminator loss: 0.518492, acc: 0.757812] [adversarial loss: 1.318305, acc: 0.250000] 20389: [discriminator loss: 0.588093, acc: 0.648438] [adversarial loss: 0.968190, acc: 0.437500] 20390: [discriminator loss: 0.542784, acc: 0.765625] [adversarial loss: 1.473938, acc: 0.140625] 20391: [discriminator loss: 0.552857, acc: 0.750000] [adversarial loss: 1.090255, acc: 0.328125] 20392: [discriminator loss: 0.608712, acc: 0.632812] [adversarial loss: 1.489416, acc: 0.125000] 20393: [discriminator loss: 0.543530, acc: 0.695312] [adversarial loss: 1.004080, acc: 0.312500] 20394: [discriminator loss: 0.561161, acc: 0.718750] [adversarial loss: 1.455216, acc: 0.125000] 20395: [discriminator loss: 0.582995, acc: 0.640625] [adversarial loss: 0.794017, acc: 0.562500] 20396: [discriminator loss: 0.548592, acc: 0.695312] [adversarial loss: 1.582995, acc: 0.062500] 20397: [discriminator loss: 0.511501, acc: 0.734375] [adversarial loss: 1.254049, acc: 0.281250] 20398: [discriminator loss: 0.512563, acc: 0.765625] [adversarial loss: 1.337854, acc: 0.156250] 20399: [discriminator loss: 0.524875, acc: 0.757812] [adversarial loss: 1.054222, acc: 0.390625] 20400: [discriminator loss: 0.595707, acc: 0.664062] [adversarial loss: 1.134455, acc: 0.250000] 20401: [discriminator loss: 0.534432, acc: 0.687500] [adversarial loss: 1.291027, acc: 0.171875] 20402: [discriminator loss: 0.530781, acc: 0.750000] [adversarial loss: 1.276523, acc: 0.156250] 20403: [discriminator loss: 0.467927, acc: 0.750000] [adversarial loss: 1.062060, acc: 0.296875] 20404: [discriminator loss: 0.562666, acc: 0.703125] [adversarial loss: 1.811090, acc: 0.078125] 20405: [discriminator loss: 0.612858, acc: 0.648438] [adversarial loss: 0.665145, acc: 0.562500] 20406: [discriminator loss: 0.539171, acc: 0.671875] [adversarial loss: 1.527721, acc: 0.125000] 20407: [discriminator loss: 0.567453, acc: 0.695312] [adversarial loss: 0.875255, acc: 0.546875] 20408: [discriminator loss: 0.623345, acc: 0.656250] [adversarial loss: 1.319746, acc: 0.234375] 20409: [discriminator loss: 0.549555, acc: 0.710938] [adversarial loss: 1.029897, acc: 0.375000] 20410: [discriminator loss: 0.587097, acc: 0.726562] [adversarial loss: 1.248058, acc: 0.265625] 20411: [discriminator loss: 0.564976, acc: 0.742188] [adversarial loss: 1.078438, acc: 0.296875] 20412: [discriminator loss: 0.545645, acc: 0.718750] [adversarial loss: 1.411164, acc: 0.156250] 20413: [discriminator loss: 0.601722, acc: 0.601562] [adversarial loss: 0.994042, acc: 0.281250] 20414: [discriminator loss: 0.513523, acc: 0.742188] [adversarial loss: 1.194211, acc: 0.140625] 20415: [discriminator loss: 0.466551, acc: 0.765625] [adversarial loss: 1.157453, acc: 0.265625] 20416: [discriminator loss: 0.557115, acc: 0.695312] [adversarial loss: 1.325874, acc: 0.203125] 20417: [discriminator loss: 0.534463, acc: 0.757812] [adversarial loss: 1.179423, acc: 0.312500] 20418: [discriminator loss: 0.497155, acc: 0.757812] [adversarial loss: 1.107908, acc: 0.265625] 20419: [discriminator loss: 0.503071, acc: 0.757812] [adversarial loss: 1.150795, acc: 0.296875] 20420: [discriminator loss: 0.529291, acc: 0.718750] [adversarial loss: 1.036855, acc: 0.343750] 20421: [discriminator loss: 0.545384, acc: 0.695312] [adversarial loss: 1.076889, acc: 0.312500] 20422: [discriminator loss: 0.538596, acc: 0.734375] [adversarial loss: 0.907222, acc: 0.437500] 20423: [discriminator loss: 0.522292, acc: 0.750000] [adversarial loss: 1.407104, acc: 0.125000] 20424: [discriminator loss: 0.529615, acc: 0.750000] [adversarial loss: 0.747758, acc: 0.546875] 20425: [discriminator loss: 0.557683, acc: 0.687500] [adversarial loss: 1.524588, acc: 0.203125] 20426: [discriminator loss: 0.584804, acc: 0.710938] [adversarial loss: 1.042012, acc: 0.343750] 20427: [discriminator loss: 0.537109, acc: 0.750000] [adversarial loss: 1.432391, acc: 0.156250] 20428: [discriminator loss: 0.551120, acc: 0.710938] [adversarial loss: 0.968383, acc: 0.453125] 20429: [discriminator loss: 0.523951, acc: 0.726562] [adversarial loss: 1.204396, acc: 0.296875] 20430: [discriminator loss: 0.519001, acc: 0.710938] [adversarial loss: 1.029949, acc: 0.375000] 20431: [discriminator loss: 0.531944, acc: 0.742188] [adversarial loss: 1.337151, acc: 0.218750] 20432: [discriminator loss: 0.473943, acc: 0.765625] [adversarial loss: 1.110546, acc: 0.265625] 20433: [discriminator loss: 0.499671, acc: 0.734375] [adversarial loss: 1.133645, acc: 0.343750] 20434: [discriminator loss: 0.546816, acc: 0.703125] [adversarial loss: 1.585113, acc: 0.093750] 20435: [discriminator loss: 0.617825, acc: 0.609375] [adversarial loss: 0.919544, acc: 0.453125] 20436: [discriminator loss: 0.518669, acc: 0.734375] [adversarial loss: 1.337490, acc: 0.203125] 20437: [discriminator loss: 0.534451, acc: 0.726562] [adversarial loss: 1.092093, acc: 0.312500] 20438: [discriminator loss: 0.531869, acc: 0.726562] [adversarial loss: 1.335312, acc: 0.156250] 20439: [discriminator loss: 0.497650, acc: 0.773438] [adversarial loss: 0.900390, acc: 0.468750] 20440: [discriminator loss: 0.569372, acc: 0.726562] [adversarial loss: 1.175677, acc: 0.281250] 20441: [discriminator loss: 0.619558, acc: 0.648438] [adversarial loss: 1.138601, acc: 0.265625] 20442: [discriminator loss: 0.483003, acc: 0.742188] [adversarial loss: 1.113475, acc: 0.234375] 20443: [discriminator loss: 0.547959, acc: 0.687500] [adversarial loss: 1.478579, acc: 0.125000] 20444: [discriminator loss: 0.539835, acc: 0.703125] [adversarial loss: 1.258501, acc: 0.265625] 20445: [discriminator loss: 0.498246, acc: 0.726562] [adversarial loss: 1.386062, acc: 0.281250] 20446: [discriminator loss: 0.530711, acc: 0.671875] [adversarial loss: 0.807548, acc: 0.562500] 20447: [discriminator loss: 0.603317, acc: 0.703125] [adversarial loss: 1.403050, acc: 0.250000] 20448: [discriminator loss: 0.543644, acc: 0.757812] [adversarial loss: 0.919628, acc: 0.453125] 20449: [discriminator loss: 0.530155, acc: 0.742188] [adversarial loss: 1.481618, acc: 0.093750] 20450: [discriminator loss: 0.570961, acc: 0.687500] [adversarial loss: 0.675810, acc: 0.625000] 20451: [discriminator loss: 0.627740, acc: 0.679688] [adversarial loss: 1.804647, acc: 0.031250] 20452: [discriminator loss: 0.684008, acc: 0.554688] [adversarial loss: 0.828817, acc: 0.484375] 20453: [discriminator loss: 0.582835, acc: 0.718750] [adversarial loss: 1.389472, acc: 0.234375] 20454: [discriminator loss: 0.524253, acc: 0.742188] [adversarial loss: 1.080533, acc: 0.390625] 20455: [discriminator loss: 0.507333, acc: 0.742188] [adversarial loss: 1.365637, acc: 0.218750] 20456: [discriminator loss: 0.549529, acc: 0.718750] [adversarial loss: 1.081067, acc: 0.406250] 20457: [discriminator loss: 0.544716, acc: 0.664062] [adversarial loss: 1.343517, acc: 0.156250] 20458: [discriminator loss: 0.525611, acc: 0.710938] [adversarial loss: 0.900893, acc: 0.484375] 20459: [discriminator loss: 0.541277, acc: 0.757812] [adversarial loss: 1.689914, acc: 0.093750] 20460: [discriminator loss: 0.581394, acc: 0.695312] [adversarial loss: 0.835932, acc: 0.515625] 20461: [discriminator loss: 0.602567, acc: 0.695312] [adversarial loss: 1.264957, acc: 0.156250] 20462: [discriminator loss: 0.550459, acc: 0.742188] [adversarial loss: 1.074131, acc: 0.343750] 20463: [discriminator loss: 0.504755, acc: 0.734375] [adversarial loss: 1.230641, acc: 0.281250] 20464: [discriminator loss: 0.547678, acc: 0.718750] [adversarial loss: 0.994383, acc: 0.406250] 20465: [discriminator loss: 0.606209, acc: 0.703125] [adversarial loss: 1.215167, acc: 0.296875] 20466: [discriminator loss: 0.537661, acc: 0.734375] [adversarial loss: 1.195175, acc: 0.312500] 20467: [discriminator loss: 0.470793, acc: 0.742188] [adversarial loss: 1.359116, acc: 0.281250] 20468: [discriminator loss: 0.577201, acc: 0.656250] [adversarial loss: 1.285854, acc: 0.265625] 20469: [discriminator loss: 0.575445, acc: 0.687500] [adversarial loss: 0.989613, acc: 0.296875] 20470: [discriminator loss: 0.572431, acc: 0.695312] [adversarial loss: 1.224945, acc: 0.203125] 20471: [discriminator loss: 0.579434, acc: 0.671875] [adversarial loss: 1.149038, acc: 0.250000] 20472: [discriminator loss: 0.581722, acc: 0.703125] [adversarial loss: 1.575434, acc: 0.109375] 20473: [discriminator loss: 0.601940, acc: 0.679688] [adversarial loss: 0.713801, acc: 0.609375] 20474: [discriminator loss: 0.636014, acc: 0.671875] [adversarial loss: 1.407572, acc: 0.109375] 20475: [discriminator loss: 0.532781, acc: 0.734375] [adversarial loss: 0.971558, acc: 0.453125] 20476: [discriminator loss: 0.456410, acc: 0.781250] [adversarial loss: 0.996282, acc: 0.421875] 20477: [discriminator loss: 0.634820, acc: 0.679688] [adversarial loss: 1.465650, acc: 0.156250] 20478: [discriminator loss: 0.547008, acc: 0.726562] [adversarial loss: 0.850902, acc: 0.500000] 20479: [discriminator loss: 0.596836, acc: 0.664062] [adversarial loss: 1.363796, acc: 0.062500] 20480: [discriminator loss: 0.592368, acc: 0.710938] [adversarial loss: 0.796621, acc: 0.484375] 20481: [discriminator loss: 0.627188, acc: 0.671875] [adversarial loss: 1.460120, acc: 0.093750] 20482: [discriminator loss: 0.581500, acc: 0.695312] [adversarial loss: 1.051124, acc: 0.312500] 20483: [discriminator loss: 0.561427, acc: 0.734375] [adversarial loss: 1.211619, acc: 0.203125] 20484: [discriminator loss: 0.558921, acc: 0.695312] [adversarial loss: 1.157657, acc: 0.343750] 20485: [discriminator loss: 0.577346, acc: 0.687500] [adversarial loss: 1.117682, acc: 0.218750] 20486: [discriminator loss: 0.550300, acc: 0.703125] [adversarial loss: 1.356979, acc: 0.109375] 20487: [discriminator loss: 0.527364, acc: 0.726562] [adversarial loss: 0.752554, acc: 0.562500] 20488: [discriminator loss: 0.640094, acc: 0.648438] [adversarial loss: 1.603331, acc: 0.093750] 20489: [discriminator loss: 0.635822, acc: 0.679688] [adversarial loss: 0.820027, acc: 0.484375] 20490: [discriminator loss: 0.565236, acc: 0.703125] [adversarial loss: 1.383488, acc: 0.234375] 20491: [discriminator loss: 0.572202, acc: 0.671875] [adversarial loss: 0.967462, acc: 0.328125] 20492: [discriminator loss: 0.478601, acc: 0.742188] [adversarial loss: 1.304099, acc: 0.171875] 20493: [discriminator loss: 0.595693, acc: 0.640625] [adversarial loss: 0.847805, acc: 0.453125] 20494: [discriminator loss: 0.517437, acc: 0.718750] [adversarial loss: 1.318924, acc: 0.140625] 20495: [discriminator loss: 0.541613, acc: 0.718750] [adversarial loss: 0.796647, acc: 0.531250] 20496: [discriminator loss: 0.603074, acc: 0.679688] [adversarial loss: 1.531374, acc: 0.140625] 20497: [discriminator loss: 0.531327, acc: 0.703125] [adversarial loss: 0.810497, acc: 0.468750] 20498: [discriminator loss: 0.481829, acc: 0.765625] [adversarial loss: 1.166422, acc: 0.187500] 20499: [discriminator loss: 0.538837, acc: 0.726562] [adversarial loss: 1.007684, acc: 0.343750] 20500: [discriminator loss: 0.508103, acc: 0.765625] [adversarial loss: 1.245247, acc: 0.203125] 20501: [discriminator loss: 0.575323, acc: 0.718750] [adversarial loss: 1.152912, acc: 0.265625] 20502: [discriminator loss: 0.601276, acc: 0.648438] [adversarial loss: 1.118873, acc: 0.265625] 20503: [discriminator loss: 0.580635, acc: 0.734375] [adversarial loss: 1.242211, acc: 0.265625] 20504: [discriminator loss: 0.583140, acc: 0.671875] [adversarial loss: 1.282349, acc: 0.171875] 20505: [discriminator loss: 0.556255, acc: 0.695312] [adversarial loss: 1.140090, acc: 0.171875] 20506: [discriminator loss: 0.590820, acc: 0.664062] [adversarial loss: 1.269435, acc: 0.187500] 20507: [discriminator loss: 0.521535, acc: 0.734375] [adversarial loss: 1.000782, acc: 0.312500] 20508: [discriminator loss: 0.526881, acc: 0.773438] [adversarial loss: 1.295827, acc: 0.234375] 20509: [discriminator loss: 0.553474, acc: 0.664062] [adversarial loss: 1.115518, acc: 0.265625] 20510: [discriminator loss: 0.521970, acc: 0.734375] [adversarial loss: 1.415920, acc: 0.109375] 20511: [discriminator loss: 0.518808, acc: 0.757812] [adversarial loss: 0.848526, acc: 0.515625] 20512: [discriminator loss: 0.624671, acc: 0.679688] [adversarial loss: 1.512460, acc: 0.078125] 20513: [discriminator loss: 0.541624, acc: 0.695312] [adversarial loss: 0.789925, acc: 0.500000] 20514: [discriminator loss: 0.647045, acc: 0.703125] [adversarial loss: 1.664459, acc: 0.031250] 20515: [discriminator loss: 0.626545, acc: 0.648438] [adversarial loss: 1.025357, acc: 0.281250] 20516: [discriminator loss: 0.563864, acc: 0.718750] [adversarial loss: 1.324283, acc: 0.171875] 20517: [discriminator loss: 0.535321, acc: 0.687500] [adversarial loss: 0.791177, acc: 0.484375] 20518: [discriminator loss: 0.631260, acc: 0.664062] [adversarial loss: 1.629083, acc: 0.156250] 20519: [discriminator loss: 0.582143, acc: 0.679688] [adversarial loss: 1.174752, acc: 0.203125] 20520: [discriminator loss: 0.572139, acc: 0.695312] [adversarial loss: 0.810626, acc: 0.546875] 20521: [discriminator loss: 0.691883, acc: 0.625000] [adversarial loss: 1.627296, acc: 0.125000] 20522: [discriminator loss: 0.512499, acc: 0.687500] [adversarial loss: 0.997948, acc: 0.375000] 20523: [discriminator loss: 0.611936, acc: 0.648438] [adversarial loss: 1.283906, acc: 0.218750] 20524: [discriminator loss: 0.569794, acc: 0.742188] [adversarial loss: 0.819837, acc: 0.515625] 20525: [discriminator loss: 0.584368, acc: 0.664062] [adversarial loss: 1.555723, acc: 0.093750] 20526: [discriminator loss: 0.638413, acc: 0.632812] [adversarial loss: 1.040211, acc: 0.250000] 20527: [discriminator loss: 0.598969, acc: 0.679688] [adversarial loss: 1.293918, acc: 0.203125] 20528: [discriminator loss: 0.440691, acc: 0.789062] [adversarial loss: 1.066156, acc: 0.203125] 20529: [discriminator loss: 0.588313, acc: 0.703125] [adversarial loss: 1.028599, acc: 0.328125] 20530: [discriminator loss: 0.553499, acc: 0.695312] [adversarial loss: 1.218865, acc: 0.234375] 20531: [discriminator loss: 0.537533, acc: 0.726562] [adversarial loss: 0.951658, acc: 0.390625] 20532: [discriminator loss: 0.583207, acc: 0.679688] [adversarial loss: 1.378600, acc: 0.140625] 20533: [discriminator loss: 0.447112, acc: 0.773438] [adversarial loss: 1.154143, acc: 0.281250] 20534: [discriminator loss: 0.569339, acc: 0.703125] [adversarial loss: 1.124869, acc: 0.265625] 20535: [discriminator loss: 0.531675, acc: 0.773438] [adversarial loss: 1.271765, acc: 0.187500] 20536: [discriminator loss: 0.554110, acc: 0.703125] [adversarial loss: 0.928644, acc: 0.531250] 20537: [discriminator loss: 0.537856, acc: 0.734375] [adversarial loss: 1.258968, acc: 0.265625] 20538: [discriminator loss: 0.477563, acc: 0.726562] [adversarial loss: 0.875659, acc: 0.500000] 20539: [discriminator loss: 0.592205, acc: 0.664062] [adversarial loss: 1.612579, acc: 0.078125] 20540: [discriminator loss: 0.627281, acc: 0.640625] [adversarial loss: 0.882440, acc: 0.515625] 20541: [discriminator loss: 0.625636, acc: 0.671875] [adversarial loss: 1.401000, acc: 0.187500] 20542: [discriminator loss: 0.563256, acc: 0.695312] [adversarial loss: 0.821700, acc: 0.500000] 20543: [discriminator loss: 0.530975, acc: 0.734375] [adversarial loss: 1.141727, acc: 0.265625] 20544: [discriminator loss: 0.538610, acc: 0.742188] [adversarial loss: 1.162988, acc: 0.218750] 20545: [discriminator loss: 0.518989, acc: 0.765625] [adversarial loss: 1.041103, acc: 0.296875] 20546: [discriminator loss: 0.540917, acc: 0.742188] [adversarial loss: 1.136745, acc: 0.234375] 20547: [discriminator loss: 0.562720, acc: 0.656250] [adversarial loss: 0.767324, acc: 0.500000] 20548: [discriminator loss: 0.480172, acc: 0.773438] [adversarial loss: 1.253077, acc: 0.203125] 20549: [discriminator loss: 0.531131, acc: 0.687500] [adversarial loss: 0.979739, acc: 0.343750] 20550: [discriminator loss: 0.552525, acc: 0.671875] [adversarial loss: 0.891987, acc: 0.406250] 20551: [discriminator loss: 0.522769, acc: 0.742188] [adversarial loss: 1.185326, acc: 0.265625] 20552: [discriminator loss: 0.514809, acc: 0.757812] [adversarial loss: 0.923143, acc: 0.390625] 20553: [discriminator loss: 0.577635, acc: 0.664062] [adversarial loss: 1.380984, acc: 0.156250] 20554: [discriminator loss: 0.518979, acc: 0.718750] [adversarial loss: 1.063042, acc: 0.265625] 20555: [discriminator loss: 0.549280, acc: 0.703125] [adversarial loss: 1.463363, acc: 0.171875] 20556: [discriminator loss: 0.631884, acc: 0.640625] [adversarial loss: 0.939033, acc: 0.375000] 20557: [discriminator loss: 0.519304, acc: 0.734375] [adversarial loss: 1.663642, acc: 0.062500] 20558: [discriminator loss: 0.551048, acc: 0.710938] [adversarial loss: 0.844300, acc: 0.515625] 20559: [discriminator loss: 0.520419, acc: 0.742188] [adversarial loss: 1.217541, acc: 0.250000] 20560: [discriminator loss: 0.541994, acc: 0.757812] [adversarial loss: 1.048034, acc: 0.296875] 20561: [discriminator loss: 0.549418, acc: 0.718750] [adversarial loss: 1.216536, acc: 0.250000] 20562: [discriminator loss: 0.500680, acc: 0.789062] [adversarial loss: 1.109821, acc: 0.343750] 20563: [discriminator loss: 0.537843, acc: 0.734375] [adversarial loss: 1.156201, acc: 0.234375] 20564: [discriminator loss: 0.577543, acc: 0.687500] [adversarial loss: 1.462025, acc: 0.093750] 20565: [discriminator loss: 0.482791, acc: 0.765625] [adversarial loss: 1.240123, acc: 0.203125] 20566: [discriminator loss: 0.528190, acc: 0.687500] [adversarial loss: 1.124476, acc: 0.281250] 20567: [discriminator loss: 0.523248, acc: 0.726562] [adversarial loss: 1.192433, acc: 0.250000] 20568: [discriminator loss: 0.574443, acc: 0.695312] [adversarial loss: 1.050690, acc: 0.281250] 20569: [discriminator loss: 0.537643, acc: 0.726562] [adversarial loss: 1.505296, acc: 0.125000] 20570: [discriminator loss: 0.679443, acc: 0.679688] [adversarial loss: 0.804106, acc: 0.453125] 20571: [discriminator loss: 0.485025, acc: 0.765625] [adversarial loss: 1.316424, acc: 0.250000] 20572: [discriminator loss: 0.565082, acc: 0.679688] [adversarial loss: 1.028916, acc: 0.343750] 20573: [discriminator loss: 0.524871, acc: 0.726562] [adversarial loss: 1.264452, acc: 0.187500] 20574: [discriminator loss: 0.490194, acc: 0.718750] [adversarial loss: 0.976490, acc: 0.406250] 20575: [discriminator loss: 0.532539, acc: 0.750000] [adversarial loss: 1.337406, acc: 0.250000] 20576: [discriminator loss: 0.480681, acc: 0.757812] [adversarial loss: 1.007476, acc: 0.375000] 20577: [discriminator loss: 0.531254, acc: 0.726562] [adversarial loss: 1.694519, acc: 0.078125] 20578: [discriminator loss: 0.529072, acc: 0.726562] [adversarial loss: 0.677138, acc: 0.593750] 20579: [discriminator loss: 0.614061, acc: 0.632812] [adversarial loss: 1.502518, acc: 0.125000] 20580: [discriminator loss: 0.614204, acc: 0.648438] [adversarial loss: 0.884691, acc: 0.390625] 20581: [discriminator loss: 0.527277, acc: 0.718750] [adversarial loss: 1.296781, acc: 0.250000] 20582: [discriminator loss: 0.557690, acc: 0.695312] [adversarial loss: 0.859038, acc: 0.421875] 20583: [discriminator loss: 0.560785, acc: 0.765625] [adversarial loss: 1.297164, acc: 0.203125] 20584: [discriminator loss: 0.523382, acc: 0.734375] [adversarial loss: 0.858786, acc: 0.406250] 20585: [discriminator loss: 0.505980, acc: 0.710938] [adversarial loss: 1.274720, acc: 0.171875] 20586: [discriminator loss: 0.511127, acc: 0.726562] [adversarial loss: 1.182388, acc: 0.234375] 20587: [discriminator loss: 0.561432, acc: 0.710938] [adversarial loss: 1.230434, acc: 0.265625] 20588: [discriminator loss: 0.459838, acc: 0.781250] [adversarial loss: 0.998993, acc: 0.328125] 20589: [discriminator loss: 0.510969, acc: 0.734375] [adversarial loss: 1.093456, acc: 0.250000] 20590: [discriminator loss: 0.510166, acc: 0.734375] [adversarial loss: 1.007795, acc: 0.296875] 20591: [discriminator loss: 0.544723, acc: 0.734375] [adversarial loss: 1.234996, acc: 0.218750] 20592: [discriminator loss: 0.548819, acc: 0.718750] [adversarial loss: 0.978828, acc: 0.453125] 20593: [discriminator loss: 0.544237, acc: 0.718750] [adversarial loss: 1.550517, acc: 0.125000] 20594: [discriminator loss: 0.564153, acc: 0.679688] [adversarial loss: 0.759273, acc: 0.578125] 20595: [discriminator loss: 0.637922, acc: 0.656250] [adversarial loss: 1.928985, acc: 0.062500] 20596: [discriminator loss: 0.587568, acc: 0.679688] [adversarial loss: 0.828939, acc: 0.468750] 20597: [discriminator loss: 0.569184, acc: 0.718750] [adversarial loss: 1.498866, acc: 0.140625] 20598: [discriminator loss: 0.512419, acc: 0.757812] [adversarial loss: 1.081049, acc: 0.265625] 20599: [discriminator loss: 0.547742, acc: 0.734375] [adversarial loss: 1.351254, acc: 0.312500] 20600: [discriminator loss: 0.467722, acc: 0.812500] [adversarial loss: 1.189279, acc: 0.218750] 20601: [discriminator loss: 0.543899, acc: 0.695312] [adversarial loss: 1.010007, acc: 0.406250] 20602: [discriminator loss: 0.524713, acc: 0.710938] [adversarial loss: 1.262804, acc: 0.156250] 20603: [discriminator loss: 0.546079, acc: 0.703125] [adversarial loss: 1.313278, acc: 0.109375] 20604: [discriminator loss: 0.526607, acc: 0.726562] [adversarial loss: 1.124583, acc: 0.265625] 20605: [discriminator loss: 0.507562, acc: 0.765625] [adversarial loss: 1.442393, acc: 0.234375] 20606: [discriminator loss: 0.590914, acc: 0.671875] [adversarial loss: 1.055329, acc: 0.343750] 20607: [discriminator loss: 0.492601, acc: 0.773438] [adversarial loss: 1.396382, acc: 0.187500] 20608: [discriminator loss: 0.454070, acc: 0.789062] [adversarial loss: 0.972603, acc: 0.343750] 20609: [discriminator loss: 0.575240, acc: 0.648438] [adversarial loss: 1.402559, acc: 0.156250] 20610: [discriminator loss: 0.521502, acc: 0.718750] [adversarial loss: 1.087318, acc: 0.359375] 20611: [discriminator loss: 0.638452, acc: 0.617188] [adversarial loss: 1.464926, acc: 0.109375] 20612: [discriminator loss: 0.557596, acc: 0.671875] [adversarial loss: 0.852533, acc: 0.500000] 20613: [discriminator loss: 0.577044, acc: 0.687500] [adversarial loss: 1.204552, acc: 0.265625] 20614: [discriminator loss: 0.548319, acc: 0.750000] [adversarial loss: 0.883882, acc: 0.437500] 20615: [discriminator loss: 0.550286, acc: 0.750000] [adversarial loss: 1.352238, acc: 0.203125] 20616: [discriminator loss: 0.537468, acc: 0.718750] [adversarial loss: 1.010105, acc: 0.312500] 20617: [discriminator loss: 0.514501, acc: 0.718750] [adversarial loss: 1.133872, acc: 0.359375] 20618: [discriminator loss: 0.506958, acc: 0.703125] [adversarial loss: 1.184550, acc: 0.281250] 20619: [discriminator loss: 0.497094, acc: 0.742188] [adversarial loss: 1.411023, acc: 0.156250] 20620: [discriminator loss: 0.552846, acc: 0.718750] [adversarial loss: 1.355477, acc: 0.218750] 20621: [discriminator loss: 0.602343, acc: 0.664062] [adversarial loss: 1.098495, acc: 0.312500] 20622: [discriminator loss: 0.566700, acc: 0.679688] [adversarial loss: 1.079765, acc: 0.328125] 20623: [discriminator loss: 0.516317, acc: 0.750000] [adversarial loss: 1.447097, acc: 0.140625] 20624: [discriminator loss: 0.509274, acc: 0.718750] [adversarial loss: 0.962835, acc: 0.328125] 20625: [discriminator loss: 0.533649, acc: 0.734375] [adversarial loss: 1.522835, acc: 0.125000] 20626: [discriminator loss: 0.602121, acc: 0.656250] [adversarial loss: 0.840955, acc: 0.421875] 20627: [discriminator loss: 0.608473, acc: 0.679688] [adversarial loss: 1.960406, acc: 0.046875] 20628: [discriminator loss: 0.654986, acc: 0.617188] [adversarial loss: 0.810095, acc: 0.484375] 20629: [discriminator loss: 0.596428, acc: 0.671875] [adversarial loss: 1.466370, acc: 0.140625] 20630: [discriminator loss: 0.609965, acc: 0.671875] [adversarial loss: 0.919201, acc: 0.453125] 20631: [discriminator loss: 0.564001, acc: 0.695312] [adversarial loss: 1.554712, acc: 0.062500] 20632: [discriminator loss: 0.514567, acc: 0.781250] [adversarial loss: 0.929311, acc: 0.468750] 20633: [discriminator loss: 0.591384, acc: 0.671875] [adversarial loss: 1.279799, acc: 0.281250] 20634: [discriminator loss: 0.571402, acc: 0.710938] [adversarial loss: 1.164413, acc: 0.218750] 20635: [discriminator loss: 0.545823, acc: 0.718750] [adversarial loss: 1.312904, acc: 0.187500] 20636: [discriminator loss: 0.549956, acc: 0.718750] [adversarial loss: 1.147014, acc: 0.234375] 20637: [discriminator loss: 0.529328, acc: 0.710938] [adversarial loss: 0.936189, acc: 0.375000] 20638: [discriminator loss: 0.550732, acc: 0.695312] [adversarial loss: 1.243222, acc: 0.234375] 20639: [discriminator loss: 0.508583, acc: 0.765625] [adversarial loss: 1.013129, acc: 0.312500] 20640: [discriminator loss: 0.608230, acc: 0.632812] [adversarial loss: 1.192872, acc: 0.234375] 20641: [discriminator loss: 0.600472, acc: 0.695312] [adversarial loss: 1.245979, acc: 0.203125] 20642: [discriminator loss: 0.538587, acc: 0.703125] [adversarial loss: 1.055447, acc: 0.359375] 20643: [discriminator loss: 0.561963, acc: 0.648438] [adversarial loss: 1.517767, acc: 0.109375] 20644: [discriminator loss: 0.581853, acc: 0.671875] [adversarial loss: 0.840269, acc: 0.421875] 20645: [discriminator loss: 0.523843, acc: 0.734375] [adversarial loss: 1.553623, acc: 0.125000] 20646: [discriminator loss: 0.567509, acc: 0.648438] [adversarial loss: 0.703825, acc: 0.531250] 20647: [discriminator loss: 0.573084, acc: 0.734375] [adversarial loss: 1.632475, acc: 0.046875] 20648: [discriminator loss: 0.533823, acc: 0.710938] [adversarial loss: 1.105839, acc: 0.328125] 20649: [discriminator loss: 0.587922, acc: 0.640625] [adversarial loss: 1.326747, acc: 0.203125] 20650: [discriminator loss: 0.505326, acc: 0.750000] [adversarial loss: 1.270518, acc: 0.218750] 20651: [discriminator loss: 0.441465, acc: 0.835938] [adversarial loss: 1.106888, acc: 0.359375] 20652: [discriminator loss: 0.567359, acc: 0.710938] [adversarial loss: 1.163236, acc: 0.234375] 20653: [discriminator loss: 0.555159, acc: 0.734375] [adversarial loss: 1.167456, acc: 0.250000] 20654: [discriminator loss: 0.574681, acc: 0.703125] [adversarial loss: 1.634943, acc: 0.078125] 20655: [discriminator loss: 0.569546, acc: 0.656250] [adversarial loss: 1.084125, acc: 0.359375] 20656: [discriminator loss: 0.588741, acc: 0.734375] [adversarial loss: 1.410731, acc: 0.171875] 20657: [discriminator loss: 0.543156, acc: 0.710938] [adversarial loss: 0.692907, acc: 0.609375] 20658: [discriminator loss: 0.578428, acc: 0.726562] [adversarial loss: 1.577000, acc: 0.109375] 20659: [discriminator loss: 0.638540, acc: 0.632812] [adversarial loss: 0.788416, acc: 0.515625] 20660: [discriminator loss: 0.553747, acc: 0.710938] [adversarial loss: 1.430545, acc: 0.171875] 20661: [discriminator loss: 0.521149, acc: 0.742188] [adversarial loss: 0.962968, acc: 0.468750] 20662: [discriminator loss: 0.556682, acc: 0.710938] [adversarial loss: 1.483675, acc: 0.140625] 20663: [discriminator loss: 0.519630, acc: 0.718750] [adversarial loss: 1.127301, acc: 0.218750] 20664: [discriminator loss: 0.611343, acc: 0.687500] [adversarial loss: 1.322095, acc: 0.125000] 20665: [discriminator loss: 0.568364, acc: 0.710938] [adversarial loss: 0.998256, acc: 0.265625] 20666: [discriminator loss: 0.564392, acc: 0.710938] [adversarial loss: 1.270440, acc: 0.234375] 20667: [discriminator loss: 0.585846, acc: 0.656250] [adversarial loss: 0.834461, acc: 0.437500] 20668: [discriminator loss: 0.515031, acc: 0.695312] [adversarial loss: 1.314575, acc: 0.187500] 20669: [discriminator loss: 0.583530, acc: 0.687500] [adversarial loss: 0.908407, acc: 0.421875] 20670: [discriminator loss: 0.536986, acc: 0.734375] [adversarial loss: 1.231359, acc: 0.265625] 20671: [discriminator loss: 0.559519, acc: 0.710938] [adversarial loss: 1.146592, acc: 0.296875] 20672: [discriminator loss: 0.503058, acc: 0.750000] [adversarial loss: 1.227135, acc: 0.234375] 20673: [discriminator loss: 0.497112, acc: 0.750000] [adversarial loss: 1.201000, acc: 0.203125] 20674: [discriminator loss: 0.567187, acc: 0.687500] [adversarial loss: 1.265733, acc: 0.218750] 20675: [discriminator loss: 0.501835, acc: 0.765625] [adversarial loss: 1.099449, acc: 0.328125] 20676: [discriminator loss: 0.484598, acc: 0.765625] [adversarial loss: 1.432102, acc: 0.140625] 20677: [discriminator loss: 0.520610, acc: 0.710938] [adversarial loss: 0.909743, acc: 0.406250] 20678: [discriminator loss: 0.498939, acc: 0.765625] [adversarial loss: 1.177275, acc: 0.265625] 20679: [discriminator loss: 0.546867, acc: 0.687500] [adversarial loss: 1.313507, acc: 0.187500] 20680: [discriminator loss: 0.514559, acc: 0.734375] [adversarial loss: 0.876107, acc: 0.546875] 20681: [discriminator loss: 0.638314, acc: 0.625000] [adversarial loss: 1.791291, acc: 0.046875] 20682: [discriminator loss: 0.599131, acc: 0.671875] [adversarial loss: 0.724277, acc: 0.578125] 20683: [discriminator loss: 0.602009, acc: 0.687500] [adversarial loss: 1.811192, acc: 0.093750] 20684: [discriminator loss: 0.565274, acc: 0.664062] [adversarial loss: 1.207986, acc: 0.234375] 20685: [discriminator loss: 0.536909, acc: 0.718750] [adversarial loss: 1.268937, acc: 0.250000] 20686: [discriminator loss: 0.524191, acc: 0.765625] [adversarial loss: 1.417098, acc: 0.140625] 20687: [discriminator loss: 0.622579, acc: 0.671875] [adversarial loss: 1.177909, acc: 0.265625] 20688: [discriminator loss: 0.578102, acc: 0.664062] [adversarial loss: 1.229699, acc: 0.187500] 20689: [discriminator loss: 0.536824, acc: 0.726562] [adversarial loss: 1.041076, acc: 0.359375] 20690: [discriminator loss: 0.510281, acc: 0.742188] [adversarial loss: 1.386984, acc: 0.109375] 20691: [discriminator loss: 0.496346, acc: 0.757812] [adversarial loss: 1.126056, acc: 0.296875] 20692: [discriminator loss: 0.533913, acc: 0.742188] [adversarial loss: 0.981952, acc: 0.390625] 20693: [discriminator loss: 0.558400, acc: 0.734375] [adversarial loss: 1.494851, acc: 0.156250] 20694: [discriminator loss: 0.529981, acc: 0.710938] [adversarial loss: 1.044015, acc: 0.312500] 20695: [discriminator loss: 0.561486, acc: 0.687500] [adversarial loss: 1.630784, acc: 0.078125] 20696: [discriminator loss: 0.502258, acc: 0.726562] [adversarial loss: 0.962959, acc: 0.390625] 20697: [discriminator loss: 0.555987, acc: 0.640625] [adversarial loss: 1.420109, acc: 0.171875] 20698: [discriminator loss: 0.542122, acc: 0.718750] [adversarial loss: 1.066352, acc: 0.343750] 20699: [discriminator loss: 0.532806, acc: 0.742188] [adversarial loss: 1.226595, acc: 0.203125] 20700: [discriminator loss: 0.594380, acc: 0.656250] [adversarial loss: 1.281336, acc: 0.218750] 20701: [discriminator loss: 0.493280, acc: 0.734375] [adversarial loss: 1.015809, acc: 0.343750] 20702: [discriminator loss: 0.563806, acc: 0.710938] [adversarial loss: 1.368386, acc: 0.187500] 20703: [discriminator loss: 0.485069, acc: 0.789062] [adversarial loss: 1.171118, acc: 0.343750] 20704: [discriminator loss: 0.563261, acc: 0.703125] [adversarial loss: 1.490298, acc: 0.078125] 20705: [discriminator loss: 0.615580, acc: 0.656250] [adversarial loss: 0.947222, acc: 0.468750] 20706: [discriminator loss: 0.539435, acc: 0.656250] [adversarial loss: 1.661051, acc: 0.062500] 20707: [discriminator loss: 0.584684, acc: 0.648438] [adversarial loss: 0.748305, acc: 0.562500] 20708: [discriminator loss: 0.603450, acc: 0.687500] [adversarial loss: 1.662771, acc: 0.093750] 20709: [discriminator loss: 0.557092, acc: 0.664062] [adversarial loss: 1.037618, acc: 0.312500] 20710: [discriminator loss: 0.508018, acc: 0.742188] [adversarial loss: 1.212321, acc: 0.265625] 20711: [discriminator loss: 0.515560, acc: 0.695312] [adversarial loss: 0.865397, acc: 0.406250] 20712: [discriminator loss: 0.529498, acc: 0.750000] [adversarial loss: 1.584792, acc: 0.078125] 20713: [discriminator loss: 0.636904, acc: 0.625000] [adversarial loss: 1.013775, acc: 0.390625] 20714: [discriminator loss: 0.481332, acc: 0.757812] [adversarial loss: 1.218038, acc: 0.281250] 20715: [discriminator loss: 0.452623, acc: 0.781250] [adversarial loss: 1.143292, acc: 0.390625] 20716: [discriminator loss: 0.518784, acc: 0.742188] [adversarial loss: 1.223442, acc: 0.203125] 20717: [discriminator loss: 0.543282, acc: 0.765625] [adversarial loss: 1.137157, acc: 0.312500] 20718: [discriminator loss: 0.548192, acc: 0.718750] [adversarial loss: 0.851445, acc: 0.484375] 20719: [discriminator loss: 0.576375, acc: 0.679688] [adversarial loss: 1.784867, acc: 0.046875] 20720: [discriminator loss: 0.547330, acc: 0.695312] [adversarial loss: 0.952017, acc: 0.390625] 20721: [discriminator loss: 0.521269, acc: 0.726562] [adversarial loss: 1.404457, acc: 0.125000] 20722: [discriminator loss: 0.501614, acc: 0.718750] [adversarial loss: 1.217672, acc: 0.171875] 20723: [discriminator loss: 0.605369, acc: 0.671875] [adversarial loss: 1.113612, acc: 0.312500] 20724: [discriminator loss: 0.569425, acc: 0.695312] [adversarial loss: 1.807224, acc: 0.062500] 20725: [discriminator loss: 0.488373, acc: 0.710938] [adversarial loss: 0.935103, acc: 0.468750] 20726: [discriminator loss: 0.553488, acc: 0.671875] [adversarial loss: 1.733246, acc: 0.078125] 20727: [discriminator loss: 0.586267, acc: 0.648438] [adversarial loss: 0.813999, acc: 0.421875] 20728: [discriminator loss: 0.539504, acc: 0.734375] [adversarial loss: 1.385069, acc: 0.281250] 20729: [discriminator loss: 0.563695, acc: 0.710938] [adversarial loss: 1.018610, acc: 0.421875] 20730: [discriminator loss: 0.571460, acc: 0.656250] [adversarial loss: 1.664114, acc: 0.078125] 20731: [discriminator loss: 0.595593, acc: 0.664062] [adversarial loss: 0.877082, acc: 0.531250] 20732: [discriminator loss: 0.620201, acc: 0.640625] [adversarial loss: 1.556240, acc: 0.125000] 20733: [discriminator loss: 0.522558, acc: 0.710938] [adversarial loss: 0.922540, acc: 0.437500] 20734: [discriminator loss: 0.550474, acc: 0.671875] [adversarial loss: 1.423124, acc: 0.140625] 20735: [discriminator loss: 0.520285, acc: 0.718750] [adversarial loss: 1.198856, acc: 0.296875] 20736: [discriminator loss: 0.531508, acc: 0.773438] [adversarial loss: 1.332495, acc: 0.250000] 20737: [discriminator loss: 0.515505, acc: 0.703125] [adversarial loss: 1.107733, acc: 0.359375] 20738: [discriminator loss: 0.534093, acc: 0.742188] [adversarial loss: 1.491657, acc: 0.125000] 20739: [discriminator loss: 0.484368, acc: 0.750000] [adversarial loss: 1.120105, acc: 0.328125] 20740: [discriminator loss: 0.541418, acc: 0.679688] [adversarial loss: 1.269824, acc: 0.218750] 20741: [discriminator loss: 0.521364, acc: 0.726562] [adversarial loss: 0.792257, acc: 0.468750] 20742: [discriminator loss: 0.566054, acc: 0.718750] [adversarial loss: 1.532940, acc: 0.187500] 20743: [discriminator loss: 0.584182, acc: 0.671875] [adversarial loss: 1.082328, acc: 0.406250] 20744: [discriminator loss: 0.496052, acc: 0.765625] [adversarial loss: 1.334003, acc: 0.109375] 20745: [discriminator loss: 0.433386, acc: 0.812500] [adversarial loss: 0.885568, acc: 0.421875] 20746: [discriminator loss: 0.548651, acc: 0.750000] [adversarial loss: 1.170660, acc: 0.296875] 20747: [discriminator loss: 0.444462, acc: 0.812500] [adversarial loss: 1.107413, acc: 0.250000] 20748: [discriminator loss: 0.538708, acc: 0.687500] [adversarial loss: 1.129755, acc: 0.265625] 20749: [discriminator loss: 0.471103, acc: 0.750000] [adversarial loss: 1.185386, acc: 0.265625] 20750: [discriminator loss: 0.490407, acc: 0.765625] [adversarial loss: 1.026599, acc: 0.281250] 20751: [discriminator loss: 0.470707, acc: 0.750000] [adversarial loss: 1.241241, acc: 0.265625] 20752: [discriminator loss: 0.565102, acc: 0.648438] [adversarial loss: 0.955485, acc: 0.328125] 20753: [discriminator loss: 0.591246, acc: 0.710938] [adversarial loss: 1.748016, acc: 0.093750] 20754: [discriminator loss: 0.586730, acc: 0.703125] [adversarial loss: 1.049377, acc: 0.390625] 20755: [discriminator loss: 0.607771, acc: 0.695312] [adversarial loss: 1.539463, acc: 0.156250] 20756: [discriminator loss: 0.453485, acc: 0.742188] [adversarial loss: 1.035310, acc: 0.234375] 20757: [discriminator loss: 0.617632, acc: 0.671875] [adversarial loss: 1.673228, acc: 0.109375] 20758: [discriminator loss: 0.657155, acc: 0.585938] [adversarial loss: 0.759640, acc: 0.562500] 20759: [discriminator loss: 0.579700, acc: 0.664062] [adversarial loss: 1.643662, acc: 0.140625] 20760: [discriminator loss: 0.536490, acc: 0.742188] [adversarial loss: 1.164545, acc: 0.265625] 20761: [discriminator loss: 0.551569, acc: 0.726562] [adversarial loss: 1.243691, acc: 0.203125] 20762: [discriminator loss: 0.505472, acc: 0.757812] [adversarial loss: 1.095317, acc: 0.312500] 20763: [discriminator loss: 0.518890, acc: 0.734375] [adversarial loss: 1.136422, acc: 0.343750] 20764: [discriminator loss: 0.624191, acc: 0.625000] [adversarial loss: 1.232095, acc: 0.281250] 20765: [discriminator loss: 0.582828, acc: 0.671875] [adversarial loss: 1.186949, acc: 0.281250] 20766: [discriminator loss: 0.574128, acc: 0.656250] [adversarial loss: 0.988910, acc: 0.390625] 20767: [discriminator loss: 0.548440, acc: 0.718750] [adversarial loss: 1.259337, acc: 0.187500] 20768: [discriminator loss: 0.599900, acc: 0.710938] [adversarial loss: 0.864471, acc: 0.500000] 20769: [discriminator loss: 0.555653, acc: 0.703125] [adversarial loss: 1.582735, acc: 0.140625] 20770: [discriminator loss: 0.604716, acc: 0.625000] [adversarial loss: 0.950364, acc: 0.390625] 20771: [discriminator loss: 0.645215, acc: 0.648438] [adversarial loss: 1.716435, acc: 0.046875] 20772: [discriminator loss: 0.572690, acc: 0.640625] [adversarial loss: 0.969635, acc: 0.453125] 20773: [discriminator loss: 0.466093, acc: 0.789062] [adversarial loss: 1.248038, acc: 0.234375] 20774: [discriminator loss: 0.512813, acc: 0.750000] [adversarial loss: 1.240888, acc: 0.218750] 20775: [discriminator loss: 0.501925, acc: 0.757812] [adversarial loss: 0.994271, acc: 0.406250] 20776: [discriminator loss: 0.558178, acc: 0.765625] [adversarial loss: 1.355076, acc: 0.156250] 20777: [discriminator loss: 0.560200, acc: 0.703125] [adversarial loss: 0.985136, acc: 0.375000] 20778: [discriminator loss: 0.556242, acc: 0.703125] [adversarial loss: 1.451635, acc: 0.093750] 20779: [discriminator loss: 0.511675, acc: 0.718750] [adversarial loss: 1.066074, acc: 0.296875] 20780: [discriminator loss: 0.535033, acc: 0.695312] [adversarial loss: 1.646647, acc: 0.109375] 20781: [discriminator loss: 0.559522, acc: 0.703125] [adversarial loss: 0.928092, acc: 0.359375] 20782: [discriminator loss: 0.505860, acc: 0.757812] [adversarial loss: 1.240041, acc: 0.218750] 20783: [discriminator loss: 0.578497, acc: 0.671875] [adversarial loss: 1.265225, acc: 0.203125] 20784: [discriminator loss: 0.521388, acc: 0.734375] [adversarial loss: 1.048651, acc: 0.281250] 20785: [discriminator loss: 0.469628, acc: 0.742188] [adversarial loss: 1.389850, acc: 0.265625] 20786: [discriminator loss: 0.575792, acc: 0.726562] [adversarial loss: 0.820637, acc: 0.515625] 20787: [discriminator loss: 0.463591, acc: 0.765625] [adversarial loss: 1.370818, acc: 0.140625] 20788: [discriminator loss: 0.542233, acc: 0.687500] [adversarial loss: 0.985376, acc: 0.406250] 20789: [discriminator loss: 0.547694, acc: 0.718750] [adversarial loss: 1.613359, acc: 0.109375] 20790: [discriminator loss: 0.611539, acc: 0.656250] [adversarial loss: 0.904269, acc: 0.453125] 20791: [discriminator loss: 0.538084, acc: 0.734375] [adversarial loss: 1.113392, acc: 0.281250] 20792: [discriminator loss: 0.568582, acc: 0.687500] [adversarial loss: 0.970899, acc: 0.421875] 20793: [discriminator loss: 0.582007, acc: 0.742188] [adversarial loss: 1.257249, acc: 0.265625] 20794: [discriminator loss: 0.573558, acc: 0.703125] [adversarial loss: 0.947307, acc: 0.421875] 20795: [discriminator loss: 0.553943, acc: 0.703125] [adversarial loss: 1.089026, acc: 0.328125] 20796: [discriminator loss: 0.528793, acc: 0.757812] [adversarial loss: 1.297443, acc: 0.125000] 20797: [discriminator loss: 0.506024, acc: 0.781250] [adversarial loss: 1.066660, acc: 0.375000] 20798: [discriminator loss: 0.578983, acc: 0.671875] [adversarial loss: 1.249997, acc: 0.234375] 20799: [discriminator loss: 0.581269, acc: 0.679688] [adversarial loss: 1.164882, acc: 0.250000] 20800: [discriminator loss: 0.558043, acc: 0.703125] [adversarial loss: 1.059274, acc: 0.328125] 20801: [discriminator loss: 0.489612, acc: 0.750000] [adversarial loss: 0.919669, acc: 0.328125] 20802: [discriminator loss: 0.470702, acc: 0.789062] [adversarial loss: 1.412535, acc: 0.156250] 20803: [discriminator loss: 0.553665, acc: 0.703125] [adversarial loss: 1.100592, acc: 0.234375] 20804: [discriminator loss: 0.554197, acc: 0.679688] [adversarial loss: 1.681573, acc: 0.062500] 20805: [discriminator loss: 0.597119, acc: 0.664062] [adversarial loss: 0.937420, acc: 0.375000] 20806: [discriminator loss: 0.506114, acc: 0.789062] [adversarial loss: 1.617486, acc: 0.062500] 20807: [discriminator loss: 0.502550, acc: 0.695312] [adversarial loss: 0.866521, acc: 0.421875] 20808: [discriminator loss: 0.520601, acc: 0.703125] [adversarial loss: 1.579356, acc: 0.156250] 20809: [discriminator loss: 0.614509, acc: 0.648438] [adversarial loss: 0.794436, acc: 0.468750] 20810: [discriminator loss: 0.525964, acc: 0.695312] [adversarial loss: 1.490199, acc: 0.109375] 20811: [discriminator loss: 0.569244, acc: 0.664062] [adversarial loss: 1.118005, acc: 0.296875] 20812: [discriminator loss: 0.537412, acc: 0.703125] [adversarial loss: 1.419968, acc: 0.109375] 20813: [discriminator loss: 0.554126, acc: 0.687500] [adversarial loss: 1.397374, acc: 0.109375] 20814: [discriminator loss: 0.492357, acc: 0.750000] [adversarial loss: 0.936932, acc: 0.437500] 20815: [discriminator loss: 0.540680, acc: 0.710938] [adversarial loss: 1.565011, acc: 0.156250] 20816: [discriminator loss: 0.567595, acc: 0.679688] [adversarial loss: 0.864375, acc: 0.406250] 20817: [discriminator loss: 0.479457, acc: 0.757812] [adversarial loss: 1.158297, acc: 0.343750] 20818: [discriminator loss: 0.522976, acc: 0.718750] [adversarial loss: 1.238136, acc: 0.296875] 20819: [discriminator loss: 0.549400, acc: 0.710938] [adversarial loss: 1.048111, acc: 0.296875] 20820: [discriminator loss: 0.566903, acc: 0.703125] [adversarial loss: 1.433481, acc: 0.140625] 20821: [discriminator loss: 0.562657, acc: 0.718750] [adversarial loss: 0.986057, acc: 0.312500] 20822: [discriminator loss: 0.584974, acc: 0.640625] [adversarial loss: 1.581564, acc: 0.078125] 20823: [discriminator loss: 0.539795, acc: 0.687500] [adversarial loss: 0.942090, acc: 0.359375] 20824: [discriminator loss: 0.584002, acc: 0.687500] [adversarial loss: 1.493476, acc: 0.171875] 20825: [discriminator loss: 0.523094, acc: 0.734375] [adversarial loss: 1.106199, acc: 0.312500] 20826: [discriminator loss: 0.530953, acc: 0.750000] [adversarial loss: 0.985747, acc: 0.328125] 20827: [discriminator loss: 0.563608, acc: 0.734375] [adversarial loss: 1.235930, acc: 0.187500] 20828: [discriminator loss: 0.526535, acc: 0.765625] [adversarial loss: 0.841815, acc: 0.406250] 20829: [discriminator loss: 0.500506, acc: 0.781250] [adversarial loss: 1.569570, acc: 0.093750] 20830: [discriminator loss: 0.548705, acc: 0.679688] [adversarial loss: 0.838382, acc: 0.468750] 20831: [discriminator loss: 0.569670, acc: 0.710938] [adversarial loss: 1.748185, acc: 0.093750] 20832: [discriminator loss: 0.580541, acc: 0.703125] [adversarial loss: 0.998785, acc: 0.328125] 20833: [discriminator loss: 0.543533, acc: 0.750000] [adversarial loss: 1.405939, acc: 0.218750] 20834: [discriminator loss: 0.564402, acc: 0.695312] [adversarial loss: 1.196962, acc: 0.250000] 20835: [discriminator loss: 0.527333, acc: 0.742188] [adversarial loss: 1.053946, acc: 0.312500] 20836: [discriminator loss: 0.575554, acc: 0.679688] [adversarial loss: 0.946759, acc: 0.421875] 20837: [discriminator loss: 0.514021, acc: 0.765625] [adversarial loss: 1.011361, acc: 0.265625] 20838: [discriminator loss: 0.483222, acc: 0.789062] [adversarial loss: 1.069620, acc: 0.343750] 20839: [discriminator loss: 0.444702, acc: 0.828125] [adversarial loss: 1.061109, acc: 0.421875] 20840: [discriminator loss: 0.602545, acc: 0.703125] [adversarial loss: 0.963788, acc: 0.406250] 20841: [discriminator loss: 0.538988, acc: 0.750000] [adversarial loss: 1.613666, acc: 0.062500] 20842: [discriminator loss: 0.574425, acc: 0.703125] [adversarial loss: 0.963621, acc: 0.437500] 20843: [discriminator loss: 0.512357, acc: 0.742188] [adversarial loss: 1.405385, acc: 0.156250] 20844: [discriminator loss: 0.557564, acc: 0.703125] [adversarial loss: 0.877235, acc: 0.421875] 20845: [discriminator loss: 0.510254, acc: 0.750000] [adversarial loss: 1.594073, acc: 0.109375] 20846: [discriminator loss: 0.586630, acc: 0.734375] [adversarial loss: 0.926094, acc: 0.421875] 20847: [discriminator loss: 0.592027, acc: 0.679688] [adversarial loss: 1.601887, acc: 0.062500] 20848: [discriminator loss: 0.567696, acc: 0.695312] [adversarial loss: 0.984840, acc: 0.437500] 20849: [discriminator loss: 0.590479, acc: 0.679688] [adversarial loss: 1.420538, acc: 0.203125] 20850: [discriminator loss: 0.560765, acc: 0.640625] [adversarial loss: 1.039948, acc: 0.312500] 20851: [discriminator loss: 0.542472, acc: 0.718750] [adversarial loss: 1.662665, acc: 0.093750] 20852: [discriminator loss: 0.586043, acc: 0.687500] [adversarial loss: 1.031930, acc: 0.406250] 20853: [discriminator loss: 0.585969, acc: 0.718750] [adversarial loss: 1.373944, acc: 0.140625] 20854: [discriminator loss: 0.626212, acc: 0.656250] [adversarial loss: 1.055013, acc: 0.265625] 20855: [discriminator loss: 0.550439, acc: 0.718750] [adversarial loss: 1.038705, acc: 0.390625] 20856: [discriminator loss: 0.472935, acc: 0.781250] [adversarial loss: 1.333288, acc: 0.234375] 20857: [discriminator loss: 0.550647, acc: 0.710938] [adversarial loss: 1.146465, acc: 0.218750] 20858: [discriminator loss: 0.506793, acc: 0.750000] [adversarial loss: 1.235367, acc: 0.187500] 20859: [discriminator loss: 0.523605, acc: 0.710938] [adversarial loss: 0.791742, acc: 0.484375] 20860: [discriminator loss: 0.609075, acc: 0.656250] [adversarial loss: 1.634458, acc: 0.093750] 20861: [discriminator loss: 0.536556, acc: 0.640625] [adversarial loss: 0.932284, acc: 0.453125] 20862: [discriminator loss: 0.507853, acc: 0.757812] [adversarial loss: 1.593291, acc: 0.156250] 20863: [discriminator loss: 0.584198, acc: 0.679688] [adversarial loss: 0.936478, acc: 0.421875] 20864: [discriminator loss: 0.559684, acc: 0.679688] [adversarial loss: 1.064070, acc: 0.312500] 20865: [discriminator loss: 0.497324, acc: 0.773438] [adversarial loss: 1.039305, acc: 0.359375] 20866: [discriminator loss: 0.517449, acc: 0.726562] [adversarial loss: 1.469307, acc: 0.125000] 20867: [discriminator loss: 0.582848, acc: 0.656250] [adversarial loss: 0.865753, acc: 0.546875] 20868: [discriminator loss: 0.562210, acc: 0.718750] [adversarial loss: 1.430807, acc: 0.187500] 20869: [discriminator loss: 0.596627, acc: 0.679688] [adversarial loss: 1.078943, acc: 0.359375] 20870: [discriminator loss: 0.581770, acc: 0.679688] [adversarial loss: 1.270981, acc: 0.203125] 20871: [discriminator loss: 0.524706, acc: 0.781250] [adversarial loss: 1.148649, acc: 0.281250] 20872: [discriminator loss: 0.547945, acc: 0.734375] [adversarial loss: 1.110179, acc: 0.328125] 20873: [discriminator loss: 0.556713, acc: 0.703125] [adversarial loss: 1.581278, acc: 0.109375] 20874: [discriminator loss: 0.552799, acc: 0.757812] [adversarial loss: 1.296421, acc: 0.218750] 20875: [discriminator loss: 0.565247, acc: 0.726562] [adversarial loss: 1.263289, acc: 0.312500] 20876: [discriminator loss: 0.583528, acc: 0.742188] [adversarial loss: 1.011427, acc: 0.375000] 20877: [discriminator loss: 0.545810, acc: 0.679688] [adversarial loss: 1.633712, acc: 0.156250] 20878: [discriminator loss: 0.652436, acc: 0.671875] [adversarial loss: 0.796685, acc: 0.484375] 20879: [discriminator loss: 0.661939, acc: 0.664062] [adversarial loss: 1.598465, acc: 0.078125] 20880: [discriminator loss: 0.477330, acc: 0.734375] [adversarial loss: 0.884068, acc: 0.375000] 20881: [discriminator loss: 0.569127, acc: 0.703125] [adversarial loss: 1.447429, acc: 0.203125] 20882: [discriminator loss: 0.497666, acc: 0.757812] [adversarial loss: 1.121269, acc: 0.296875] 20883: [discriminator loss: 0.587533, acc: 0.664062] [adversarial loss: 1.492464, acc: 0.093750] 20884: [discriminator loss: 0.570361, acc: 0.671875] [adversarial loss: 1.139676, acc: 0.281250] 20885: [discriminator loss: 0.499745, acc: 0.781250] [adversarial loss: 1.180833, acc: 0.250000] 20886: [discriminator loss: 0.572091, acc: 0.695312] [adversarial loss: 1.293970, acc: 0.281250] 20887: [discriminator loss: 0.581573, acc: 0.632812] [adversarial loss: 1.232236, acc: 0.171875] 20888: [discriminator loss: 0.518221, acc: 0.734375] [adversarial loss: 1.045506, acc: 0.265625] 20889: [discriminator loss: 0.538852, acc: 0.734375] [adversarial loss: 1.449664, acc: 0.140625] 20890: [discriminator loss: 0.570798, acc: 0.687500] [adversarial loss: 0.720098, acc: 0.578125] 20891: [discriminator loss: 0.624070, acc: 0.664062] [adversarial loss: 1.593578, acc: 0.093750] 20892: [discriminator loss: 0.541066, acc: 0.757812] [adversarial loss: 0.893007, acc: 0.406250] 20893: [discriminator loss: 0.518173, acc: 0.710938] [adversarial loss: 1.336116, acc: 0.125000] 20894: [discriminator loss: 0.571158, acc: 0.664062] [adversarial loss: 1.392229, acc: 0.203125] 20895: [discriminator loss: 0.538466, acc: 0.703125] [adversarial loss: 1.293623, acc: 0.218750] 20896: [discriminator loss: 0.500031, acc: 0.750000] [adversarial loss: 1.162198, acc: 0.281250] 20897: [discriminator loss: 0.565094, acc: 0.703125] [adversarial loss: 1.365147, acc: 0.187500] 20898: [discriminator loss: 0.534534, acc: 0.734375] [adversarial loss: 1.105590, acc: 0.312500] 20899: [discriminator loss: 0.509174, acc: 0.773438] [adversarial loss: 1.264190, acc: 0.312500] 20900: [discriminator loss: 0.598035, acc: 0.664062] [adversarial loss: 1.002551, acc: 0.390625] 20901: [discriminator loss: 0.536547, acc: 0.718750] [adversarial loss: 1.192443, acc: 0.234375] 20902: [discriminator loss: 0.563055, acc: 0.710938] [adversarial loss: 0.979891, acc: 0.390625] 20903: [discriminator loss: 0.558367, acc: 0.718750] [adversarial loss: 1.250459, acc: 0.281250] 20904: [discriminator loss: 0.516810, acc: 0.750000] [adversarial loss: 1.058589, acc: 0.343750] 20905: [discriminator loss: 0.553479, acc: 0.718750] [adversarial loss: 1.286566, acc: 0.203125] 20906: [discriminator loss: 0.505982, acc: 0.742188] [adversarial loss: 1.055493, acc: 0.375000] 20907: [discriminator loss: 0.501147, acc: 0.781250] [adversarial loss: 1.088814, acc: 0.328125] 20908: [discriminator loss: 0.485811, acc: 0.796875] [adversarial loss: 1.097159, acc: 0.250000] 20909: [discriminator loss: 0.466247, acc: 0.757812] [adversarial loss: 1.011128, acc: 0.359375] 20910: [discriminator loss: 0.524992, acc: 0.734375] [adversarial loss: 1.598521, acc: 0.109375] 20911: [discriminator loss: 0.547379, acc: 0.664062] [adversarial loss: 0.828312, acc: 0.468750] 20912: [discriminator loss: 0.574485, acc: 0.734375] [adversarial loss: 1.758121, acc: 0.125000] 20913: [discriminator loss: 0.666161, acc: 0.656250] [adversarial loss: 0.887948, acc: 0.437500] 20914: [discriminator loss: 0.586540, acc: 0.710938] [adversarial loss: 1.495178, acc: 0.109375] 20915: [discriminator loss: 0.614794, acc: 0.632812] [adversarial loss: 0.604271, acc: 0.656250] 20916: [discriminator loss: 0.639481, acc: 0.632812] [adversarial loss: 1.752223, acc: 0.109375] 20917: [discriminator loss: 0.554008, acc: 0.695312] [adversarial loss: 1.068475, acc: 0.359375] 20918: [discriminator loss: 0.517218, acc: 0.734375] [adversarial loss: 1.325620, acc: 0.171875] 20919: [discriminator loss: 0.605808, acc: 0.695312] [adversarial loss: 1.089445, acc: 0.265625] 20920: [discriminator loss: 0.572107, acc: 0.703125] [adversarial loss: 1.137155, acc: 0.281250] 20921: [discriminator loss: 0.534915, acc: 0.750000] [adversarial loss: 1.425218, acc: 0.156250] 20922: [discriminator loss: 0.526205, acc: 0.718750] [adversarial loss: 0.943150, acc: 0.421875] 20923: [discriminator loss: 0.519428, acc: 0.718750] [adversarial loss: 1.297118, acc: 0.156250] 20924: [discriminator loss: 0.642941, acc: 0.656250] [adversarial loss: 1.149641, acc: 0.187500] 20925: [discriminator loss: 0.523769, acc: 0.742188] [adversarial loss: 1.262759, acc: 0.156250] 20926: [discriminator loss: 0.496098, acc: 0.781250] [adversarial loss: 1.365527, acc: 0.218750] 20927: [discriminator loss: 0.558380, acc: 0.703125] [adversarial loss: 0.979814, acc: 0.343750] 20928: [discriminator loss: 0.515401, acc: 0.781250] [adversarial loss: 1.306498, acc: 0.203125] 20929: [discriminator loss: 0.566986, acc: 0.664062] [adversarial loss: 1.047279, acc: 0.265625] 20930: [discriminator loss: 0.468812, acc: 0.796875] [adversarial loss: 1.253131, acc: 0.250000] 20931: [discriminator loss: 0.583463, acc: 0.671875] [adversarial loss: 1.209928, acc: 0.250000] 20932: [discriminator loss: 0.580718, acc: 0.648438] [adversarial loss: 1.015469, acc: 0.296875] 20933: [discriminator loss: 0.536905, acc: 0.664062] [adversarial loss: 1.235038, acc: 0.187500] 20934: [discriminator loss: 0.486447, acc: 0.750000] [adversarial loss: 0.934003, acc: 0.406250] 20935: [discriminator loss: 0.513153, acc: 0.734375] [adversarial loss: 1.285367, acc: 0.187500] 20936: [discriminator loss: 0.505451, acc: 0.710938] [adversarial loss: 1.315206, acc: 0.218750] 20937: [discriminator loss: 0.562165, acc: 0.671875] [adversarial loss: 1.252601, acc: 0.250000] 20938: [discriminator loss: 0.551996, acc: 0.718750] [adversarial loss: 0.680833, acc: 0.609375] 20939: [discriminator loss: 0.610087, acc: 0.601562] [adversarial loss: 1.793489, acc: 0.093750] 20940: [discriminator loss: 0.682207, acc: 0.632812] [adversarial loss: 0.828953, acc: 0.421875] 20941: [discriminator loss: 0.523848, acc: 0.726562] [adversarial loss: 1.306801, acc: 0.171875] 20942: [discriminator loss: 0.536033, acc: 0.765625] [adversarial loss: 1.065277, acc: 0.343750] 20943: [discriminator loss: 0.535237, acc: 0.703125] [adversarial loss: 1.253627, acc: 0.203125] 20944: [discriminator loss: 0.604497, acc: 0.656250] [adversarial loss: 0.882479, acc: 0.390625] 20945: [discriminator loss: 0.533336, acc: 0.718750] [adversarial loss: 1.461385, acc: 0.156250] 20946: [discriminator loss: 0.565280, acc: 0.718750] [adversarial loss: 1.039543, acc: 0.390625] 20947: [discriminator loss: 0.537957, acc: 0.710938] [adversarial loss: 1.495575, acc: 0.093750] 20948: [discriminator loss: 0.565133, acc: 0.703125] [adversarial loss: 0.924270, acc: 0.421875] 20949: [discriminator loss: 0.582111, acc: 0.679688] [adversarial loss: 1.358069, acc: 0.171875] 20950: [discriminator loss: 0.574990, acc: 0.671875] [adversarial loss: 0.950015, acc: 0.328125] 20951: [discriminator loss: 0.553672, acc: 0.726562] [adversarial loss: 1.348253, acc: 0.140625] 20952: [discriminator loss: 0.632080, acc: 0.617188] [adversarial loss: 0.978829, acc: 0.359375] 20953: [discriminator loss: 0.603595, acc: 0.687500] [adversarial loss: 1.199817, acc: 0.187500] 20954: [discriminator loss: 0.544221, acc: 0.718750] [adversarial loss: 0.979702, acc: 0.406250] 20955: [discriminator loss: 0.631689, acc: 0.687500] [adversarial loss: 1.236554, acc: 0.296875] 20956: [discriminator loss: 0.555789, acc: 0.656250] [adversarial loss: 1.270360, acc: 0.187500] 20957: [discriminator loss: 0.618544, acc: 0.625000] [adversarial loss: 1.076387, acc: 0.328125] 20958: [discriminator loss: 0.566460, acc: 0.703125] [adversarial loss: 1.488312, acc: 0.140625] 20959: [discriminator loss: 0.584178, acc: 0.687500] [adversarial loss: 1.011915, acc: 0.328125] 20960: [discriminator loss: 0.509375, acc: 0.734375] [adversarial loss: 1.502745, acc: 0.093750] 20961: [discriminator loss: 0.532026, acc: 0.695312] [adversarial loss: 0.866498, acc: 0.468750] 20962: [discriminator loss: 0.566800, acc: 0.687500] [adversarial loss: 1.302754, acc: 0.187500] 20963: [discriminator loss: 0.592366, acc: 0.671875] [adversarial loss: 1.012745, acc: 0.390625] 20964: [discriminator loss: 0.565737, acc: 0.726562] [adversarial loss: 1.436698, acc: 0.140625] 20965: [discriminator loss: 0.499126, acc: 0.773438] [adversarial loss: 1.149126, acc: 0.296875] 20966: [discriminator loss: 0.538217, acc: 0.742188] [adversarial loss: 1.292966, acc: 0.156250] 20967: [discriminator loss: 0.518524, acc: 0.734375] [adversarial loss: 1.169997, acc: 0.312500] 20968: [discriminator loss: 0.512724, acc: 0.734375] [adversarial loss: 1.690602, acc: 0.062500] 20969: [discriminator loss: 0.560173, acc: 0.687500] [adversarial loss: 1.170977, acc: 0.234375] 20970: [discriminator loss: 0.453975, acc: 0.843750] [adversarial loss: 1.316434, acc: 0.187500] 20971: [discriminator loss: 0.534378, acc: 0.734375] [adversarial loss: 1.217498, acc: 0.218750] 20972: [discriminator loss: 0.546130, acc: 0.687500] [adversarial loss: 1.135481, acc: 0.421875] 20973: [discriminator loss: 0.544663, acc: 0.726562] [adversarial loss: 1.669445, acc: 0.078125] 20974: [discriminator loss: 0.518054, acc: 0.742188] [adversarial loss: 0.729668, acc: 0.484375] 20975: [discriminator loss: 0.509788, acc: 0.750000] [adversarial loss: 1.628575, acc: 0.093750] 20976: [discriminator loss: 0.612706, acc: 0.679688] [adversarial loss: 0.796452, acc: 0.500000] 20977: [discriminator loss: 0.583700, acc: 0.648438] [adversarial loss: 1.780446, acc: 0.015625] 20978: [discriminator loss: 0.584304, acc: 0.656250] [adversarial loss: 0.834933, acc: 0.468750] 20979: [discriminator loss: 0.537806, acc: 0.710938] [adversarial loss: 1.605658, acc: 0.093750] 20980: [discriminator loss: 0.556219, acc: 0.656250] [adversarial loss: 0.881393, acc: 0.562500] 20981: [discriminator loss: 0.523061, acc: 0.734375] [adversarial loss: 1.356921, acc: 0.218750] 20982: [discriminator loss: 0.574814, acc: 0.695312] [adversarial loss: 1.079518, acc: 0.250000] 20983: [discriminator loss: 0.505041, acc: 0.734375] [adversarial loss: 1.196438, acc: 0.140625] 20984: [discriminator loss: 0.527663, acc: 0.695312] [adversarial loss: 0.971720, acc: 0.437500] 20985: [discriminator loss: 0.539950, acc: 0.710938] [adversarial loss: 1.278543, acc: 0.156250] 20986: [discriminator loss: 0.596579, acc: 0.664062] [adversarial loss: 0.866266, acc: 0.453125] 20987: [discriminator loss: 0.468929, acc: 0.812500] [adversarial loss: 1.254272, acc: 0.234375] 20988: [discriminator loss: 0.540457, acc: 0.687500] [adversarial loss: 1.134235, acc: 0.312500] 20989: [discriminator loss: 0.564079, acc: 0.703125] [adversarial loss: 1.434353, acc: 0.093750] 20990: [discriminator loss: 0.545289, acc: 0.718750] [adversarial loss: 0.820094, acc: 0.468750] 20991: [discriminator loss: 0.647034, acc: 0.695312] [adversarial loss: 1.765841, acc: 0.015625] 20992: [discriminator loss: 0.572077, acc: 0.687500] [adversarial loss: 0.972288, acc: 0.390625] 20993: [discriminator loss: 0.595444, acc: 0.640625] [adversarial loss: 1.580232, acc: 0.078125] 20994: [discriminator loss: 0.570589, acc: 0.640625] [adversarial loss: 0.827933, acc: 0.515625] 20995: [discriminator loss: 0.579394, acc: 0.687500] [adversarial loss: 1.321668, acc: 0.125000] 20996: [discriminator loss: 0.569285, acc: 0.632812] [adversarial loss: 0.988858, acc: 0.359375] 20997: [discriminator loss: 0.509254, acc: 0.757812] [adversarial loss: 1.124231, acc: 0.250000] 20998: [discriminator loss: 0.610029, acc: 0.656250] [adversarial loss: 1.228386, acc: 0.171875] 20999: [discriminator loss: 0.472319, acc: 0.781250] [adversarial loss: 0.834018, acc: 0.437500] 21000: [discriminator loss: 0.506312, acc: 0.703125] [adversarial loss: 1.625082, acc: 0.078125] 21001: [discriminator loss: 0.568944, acc: 0.710938] [adversarial loss: 0.882780, acc: 0.500000] 21002: [discriminator loss: 0.559056, acc: 0.726562] [adversarial loss: 1.582132, acc: 0.031250] 21003: [discriminator loss: 0.577584, acc: 0.687500] [adversarial loss: 0.888581, acc: 0.406250] 21004: [discriminator loss: 0.547180, acc: 0.703125] [adversarial loss: 1.588095, acc: 0.140625] 21005: [discriminator loss: 0.516415, acc: 0.687500] [adversarial loss: 1.048742, acc: 0.375000] 21006: [discriminator loss: 0.612158, acc: 0.648438] [adversarial loss: 1.296005, acc: 0.140625] 21007: [discriminator loss: 0.555262, acc: 0.718750] [adversarial loss: 1.489577, acc: 0.187500] 21008: [discriminator loss: 0.531712, acc: 0.742188] [adversarial loss: 1.013120, acc: 0.328125] 21009: [discriminator loss: 0.512960, acc: 0.796875] [adversarial loss: 1.679233, acc: 0.078125] 21010: [discriminator loss: 0.550271, acc: 0.710938] [adversarial loss: 0.745802, acc: 0.562500] 21011: [discriminator loss: 0.529365, acc: 0.703125] [adversarial loss: 1.490621, acc: 0.203125] 21012: [discriminator loss: 0.549849, acc: 0.718750] [adversarial loss: 1.019854, acc: 0.390625] 21013: [discriminator loss: 0.539348, acc: 0.757812] [adversarial loss: 1.408850, acc: 0.093750] 21014: [discriminator loss: 0.580159, acc: 0.656250] [adversarial loss: 0.919808, acc: 0.359375] 21015: [discriminator loss: 0.541821, acc: 0.687500] [adversarial loss: 1.312219, acc: 0.203125] 21016: [discriminator loss: 0.581897, acc: 0.656250] [adversarial loss: 0.884987, acc: 0.453125] 21017: [discriminator loss: 0.568733, acc: 0.710938] [adversarial loss: 1.376002, acc: 0.171875] 21018: [discriminator loss: 0.484464, acc: 0.773438] [adversarial loss: 1.053679, acc: 0.453125] 21019: [discriminator loss: 0.573758, acc: 0.734375] [adversarial loss: 1.454235, acc: 0.140625] 21020: [discriminator loss: 0.474453, acc: 0.796875] [adversarial loss: 0.973073, acc: 0.265625] 21021: [discriminator loss: 0.449709, acc: 0.828125] [adversarial loss: 1.337332, acc: 0.125000] 21022: [discriminator loss: 0.530466, acc: 0.703125] [adversarial loss: 1.225031, acc: 0.265625] 21023: [discriminator loss: 0.544296, acc: 0.742188] [adversarial loss: 0.910165, acc: 0.359375] 21024: [discriminator loss: 0.516474, acc: 0.726562] [adversarial loss: 1.483342, acc: 0.140625] 21025: [discriminator loss: 0.510035, acc: 0.734375] [adversarial loss: 0.944315, acc: 0.421875] 21026: [discriminator loss: 0.499670, acc: 0.750000] [adversarial loss: 1.178277, acc: 0.187500] 21027: [discriminator loss: 0.547594, acc: 0.695312] [adversarial loss: 1.020566, acc: 0.296875] 21028: [discriminator loss: 0.589122, acc: 0.726562] [adversarial loss: 1.489701, acc: 0.156250] 21029: [discriminator loss: 0.630471, acc: 0.640625] [adversarial loss: 0.662035, acc: 0.656250] 21030: [discriminator loss: 0.715281, acc: 0.593750] [adversarial loss: 1.493825, acc: 0.156250] 21031: [discriminator loss: 0.572420, acc: 0.695312] [adversarial loss: 0.834985, acc: 0.515625] 21032: [discriminator loss: 0.552851, acc: 0.718750] [adversarial loss: 1.369859, acc: 0.234375] 21033: [discriminator loss: 0.591323, acc: 0.679688] [adversarial loss: 1.114833, acc: 0.343750] 21034: [discriminator loss: 0.589612, acc: 0.718750] [adversarial loss: 1.329510, acc: 0.171875] 21035: [discriminator loss: 0.456037, acc: 0.804688] [adversarial loss: 1.167983, acc: 0.265625] 21036: [discriminator loss: 0.624968, acc: 0.664062] [adversarial loss: 1.323106, acc: 0.187500] 21037: [discriminator loss: 0.482415, acc: 0.789062] [adversarial loss: 1.185175, acc: 0.234375] 21038: [discriminator loss: 0.536534, acc: 0.750000] [adversarial loss: 1.330117, acc: 0.125000] 21039: [discriminator loss: 0.556355, acc: 0.656250] [adversarial loss: 0.946802, acc: 0.328125] 21040: [discriminator loss: 0.552007, acc: 0.679688] [adversarial loss: 1.570168, acc: 0.093750] 21041: [discriminator loss: 0.525505, acc: 0.765625] [adversarial loss: 0.921147, acc: 0.437500] 21042: [discriminator loss: 0.526590, acc: 0.742188] [adversarial loss: 1.331280, acc: 0.140625] 21043: [discriminator loss: 0.525479, acc: 0.710938] [adversarial loss: 1.211560, acc: 0.296875] 21044: [discriminator loss: 0.509276, acc: 0.757812] [adversarial loss: 1.427260, acc: 0.203125] 21045: [discriminator loss: 0.574354, acc: 0.679688] [adversarial loss: 1.191096, acc: 0.296875] 21046: [discriminator loss: 0.522736, acc: 0.718750] [adversarial loss: 1.081607, acc: 0.265625] 21047: [discriminator loss: 0.519582, acc: 0.789062] [adversarial loss: 1.260524, acc: 0.171875] 21048: [discriminator loss: 0.487224, acc: 0.765625] [adversarial loss: 0.903064, acc: 0.484375] 21049: [discriminator loss: 0.576928, acc: 0.710938] [adversarial loss: 1.364744, acc: 0.140625] 21050: [discriminator loss: 0.570599, acc: 0.718750] [adversarial loss: 0.914583, acc: 0.406250] 21051: [discriminator loss: 0.573251, acc: 0.687500] [adversarial loss: 1.262581, acc: 0.156250] 21052: [discriminator loss: 0.494407, acc: 0.742188] [adversarial loss: 0.934614, acc: 0.375000] 21053: [discriminator loss: 0.596708, acc: 0.664062] [adversarial loss: 1.188097, acc: 0.234375] 21054: [discriminator loss: 0.548093, acc: 0.695312] [adversarial loss: 1.336402, acc: 0.156250] 21055: [discriminator loss: 0.502792, acc: 0.765625] [adversarial loss: 1.025602, acc: 0.359375] 21056: [discriminator loss: 0.538509, acc: 0.750000] [adversarial loss: 1.503419, acc: 0.109375] 21057: [discriminator loss: 0.633046, acc: 0.664062] [adversarial loss: 0.773741, acc: 0.546875] 21058: [discriminator loss: 0.575564, acc: 0.671875] [adversarial loss: 1.758317, acc: 0.015625] 21059: [discriminator loss: 0.680589, acc: 0.640625] [adversarial loss: 0.557079, acc: 0.718750] 21060: [discriminator loss: 0.583957, acc: 0.687500] [adversarial loss: 1.670116, acc: 0.078125] 21061: [discriminator loss: 0.686406, acc: 0.585938] [adversarial loss: 0.812655, acc: 0.500000] 21062: [discriminator loss: 0.627615, acc: 0.625000] [adversarial loss: 1.623148, acc: 0.062500] 21063: [discriminator loss: 0.584181, acc: 0.664062] [adversarial loss: 0.832821, acc: 0.421875] 21064: [discriminator loss: 0.509463, acc: 0.710938] [adversarial loss: 1.339662, acc: 0.140625] 21065: [discriminator loss: 0.554670, acc: 0.710938] [adversarial loss: 1.185192, acc: 0.156250] 21066: [discriminator loss: 0.516825, acc: 0.718750] [adversarial loss: 1.120744, acc: 0.375000] 21067: [discriminator loss: 0.505921, acc: 0.750000] [adversarial loss: 1.100589, acc: 0.312500] 21068: [discriminator loss: 0.513699, acc: 0.710938] [adversarial loss: 1.535601, acc: 0.125000] 21069: [discriminator loss: 0.585445, acc: 0.695312] [adversarial loss: 1.074281, acc: 0.343750] 21070: [discriminator loss: 0.502679, acc: 0.734375] [adversarial loss: 1.359357, acc: 0.187500] 21071: [discriminator loss: 0.632549, acc: 0.671875] [adversarial loss: 1.032987, acc: 0.343750] 21072: [discriminator loss: 0.585655, acc: 0.718750] [adversarial loss: 1.122159, acc: 0.296875] 21073: [discriminator loss: 0.543298, acc: 0.742188] [adversarial loss: 1.006246, acc: 0.406250] 21074: [discriminator loss: 0.546047, acc: 0.710938] [adversarial loss: 1.193108, acc: 0.203125] 21075: [discriminator loss: 0.570579, acc: 0.703125] [adversarial loss: 1.257721, acc: 0.187500] 21076: [discriminator loss: 0.559756, acc: 0.695312] [adversarial loss: 1.108486, acc: 0.281250] 21077: [discriminator loss: 0.523763, acc: 0.679688] [adversarial loss: 1.042572, acc: 0.437500] 21078: [discriminator loss: 0.571251, acc: 0.703125] [adversarial loss: 1.468430, acc: 0.078125] 21079: [discriminator loss: 0.534867, acc: 0.750000] [adversarial loss: 1.021992, acc: 0.312500] 21080: [discriminator loss: 0.599103, acc: 0.695312] [adversarial loss: 1.599634, acc: 0.109375] 21081: [discriminator loss: 0.510896, acc: 0.718750] [adversarial loss: 0.844808, acc: 0.484375] 21082: [discriminator loss: 0.545029, acc: 0.718750] [adversarial loss: 1.259442, acc: 0.203125] 21083: [discriminator loss: 0.482921, acc: 0.750000] [adversarial loss: 0.878234, acc: 0.453125] 21084: [discriminator loss: 0.518357, acc: 0.750000] [adversarial loss: 1.465353, acc: 0.187500] 21085: [discriminator loss: 0.536205, acc: 0.718750] [adversarial loss: 0.983353, acc: 0.343750] 21086: [discriminator loss: 0.528188, acc: 0.664062] [adversarial loss: 1.483201, acc: 0.125000] 21087: [discriminator loss: 0.562123, acc: 0.679688] [adversarial loss: 1.083307, acc: 0.250000] 21088: [discriminator loss: 0.551646, acc: 0.726562] [adversarial loss: 1.136701, acc: 0.359375] 21089: [discriminator loss: 0.642678, acc: 0.687500] [adversarial loss: 0.951289, acc: 0.406250] 21090: [discriminator loss: 0.540726, acc: 0.710938] [adversarial loss: 1.549281, acc: 0.109375] 21091: [discriminator loss: 0.588721, acc: 0.664062] [adversarial loss: 0.648926, acc: 0.625000] 21092: [discriminator loss: 0.592860, acc: 0.710938] [adversarial loss: 1.518432, acc: 0.140625] 21093: [discriminator loss: 0.561718, acc: 0.718750] [adversarial loss: 0.885032, acc: 0.390625] 21094: [discriminator loss: 0.562649, acc: 0.703125] [adversarial loss: 1.451217, acc: 0.171875] 21095: [discriminator loss: 0.520956, acc: 0.750000] [adversarial loss: 1.134803, acc: 0.250000] 21096: [discriminator loss: 0.502260, acc: 0.734375] [adversarial loss: 1.141102, acc: 0.312500] 21097: [discriminator loss: 0.569240, acc: 0.703125] [adversarial loss: 1.309902, acc: 0.187500] 21098: [discriminator loss: 0.549040, acc: 0.671875] [adversarial loss: 1.171905, acc: 0.281250] 21099: [discriminator loss: 0.576818, acc: 0.710938] [adversarial loss: 1.615726, acc: 0.078125] 21100: [discriminator loss: 0.500675, acc: 0.750000] [adversarial loss: 0.932710, acc: 0.421875] 21101: [discriminator loss: 0.527875, acc: 0.710938] [adversarial loss: 1.376172, acc: 0.109375] 21102: [discriminator loss: 0.620168, acc: 0.664062] [adversarial loss: 0.894336, acc: 0.562500] 21103: [discriminator loss: 0.652466, acc: 0.656250] [adversarial loss: 1.554366, acc: 0.093750] 21104: [discriminator loss: 0.493075, acc: 0.750000] [adversarial loss: 0.937650, acc: 0.468750] 21105: [discriminator loss: 0.572941, acc: 0.695312] [adversarial loss: 0.986750, acc: 0.375000] 21106: [discriminator loss: 0.576432, acc: 0.648438] [adversarial loss: 1.427859, acc: 0.187500] 21107: [discriminator loss: 0.608810, acc: 0.648438] [adversarial loss: 0.930969, acc: 0.421875] 21108: [discriminator loss: 0.548013, acc: 0.710938] [adversarial loss: 1.289177, acc: 0.187500] 21109: [discriminator loss: 0.518747, acc: 0.757812] [adversarial loss: 1.229429, acc: 0.265625] 21110: [discriminator loss: 0.538260, acc: 0.750000] [adversarial loss: 0.941638, acc: 0.359375] 21111: [discriminator loss: 0.517839, acc: 0.750000] [adversarial loss: 1.092756, acc: 0.234375] 21112: [discriminator loss: 0.594501, acc: 0.671875] [adversarial loss: 1.162916, acc: 0.265625] 21113: [discriminator loss: 0.468833, acc: 0.796875] [adversarial loss: 1.182464, acc: 0.250000] 21114: [discriminator loss: 0.482086, acc: 0.781250] [adversarial loss: 1.171102, acc: 0.281250] 21115: [discriminator loss: 0.566954, acc: 0.703125] [adversarial loss: 1.439854, acc: 0.171875] 21116: [discriminator loss: 0.468740, acc: 0.781250] [adversarial loss: 1.148742, acc: 0.296875] 21117: [discriminator loss: 0.548602, acc: 0.695312] [adversarial loss: 1.406650, acc: 0.156250] 21118: [discriminator loss: 0.484592, acc: 0.757812] [adversarial loss: 0.950705, acc: 0.390625] 21119: [discriminator loss: 0.468718, acc: 0.796875] [adversarial loss: 1.303738, acc: 0.250000] 21120: [discriminator loss: 0.443632, acc: 0.812500] [adversarial loss: 1.151376, acc: 0.328125] 21121: [discriminator loss: 0.498201, acc: 0.734375] [adversarial loss: 1.303302, acc: 0.281250] 21122: [discriminator loss: 0.462307, acc: 0.812500] [adversarial loss: 1.306044, acc: 0.203125] 21123: [discriminator loss: 0.522928, acc: 0.710938] [adversarial loss: 0.861575, acc: 0.453125] 21124: [discriminator loss: 0.615537, acc: 0.671875] [adversarial loss: 1.609762, acc: 0.125000] 21125: [discriminator loss: 0.651533, acc: 0.609375] [adversarial loss: 0.671176, acc: 0.609375] 21126: [discriminator loss: 0.592528, acc: 0.656250] [adversarial loss: 1.677605, acc: 0.093750] 21127: [discriminator loss: 0.587653, acc: 0.671875] [adversarial loss: 0.801689, acc: 0.500000] 21128: [discriminator loss: 0.562216, acc: 0.679688] [adversarial loss: 1.478440, acc: 0.140625] 21129: [discriminator loss: 0.595479, acc: 0.687500] [adversarial loss: 0.951069, acc: 0.406250] 21130: [discriminator loss: 0.564966, acc: 0.703125] [adversarial loss: 1.390100, acc: 0.140625] 21131: [discriminator loss: 0.573096, acc: 0.687500] [adversarial loss: 1.225184, acc: 0.203125] 21132: [discriminator loss: 0.509752, acc: 0.765625] [adversarial loss: 1.300700, acc: 0.234375] 21133: [discriminator loss: 0.514219, acc: 0.687500] [adversarial loss: 1.022061, acc: 0.312500] 21134: [discriminator loss: 0.473602, acc: 0.781250] [adversarial loss: 0.849684, acc: 0.453125] 21135: [discriminator loss: 0.551118, acc: 0.703125] [adversarial loss: 1.324061, acc: 0.109375] 21136: [discriminator loss: 0.556391, acc: 0.687500] [adversarial loss: 1.034242, acc: 0.343750] 21137: [discriminator loss: 0.531187, acc: 0.757812] [adversarial loss: 1.510446, acc: 0.156250] 21138: [discriminator loss: 0.565241, acc: 0.679688] [adversarial loss: 0.857276, acc: 0.500000] 21139: [discriminator loss: 0.562222, acc: 0.679688] [adversarial loss: 1.291553, acc: 0.234375] 21140: [discriminator loss: 0.571870, acc: 0.671875] [adversarial loss: 1.355219, acc: 0.203125] 21141: [discriminator loss: 0.586146, acc: 0.718750] [adversarial loss: 1.216014, acc: 0.203125] 21142: [discriminator loss: 0.644614, acc: 0.601562] [adversarial loss: 0.998687, acc: 0.375000] 21143: [discriminator loss: 0.578878, acc: 0.718750] [adversarial loss: 1.827262, acc: 0.031250] 21144: [discriminator loss: 0.666652, acc: 0.640625] [adversarial loss: 0.743700, acc: 0.546875] 21145: [discriminator loss: 0.603278, acc: 0.695312] [adversarial loss: 1.474275, acc: 0.093750] 21146: [discriminator loss: 0.519616, acc: 0.726562] [adversarial loss: 0.913622, acc: 0.437500] 21147: [discriminator loss: 0.563764, acc: 0.710938] [adversarial loss: 1.189273, acc: 0.218750] 21148: [discriminator loss: 0.526823, acc: 0.757812] [adversarial loss: 0.993654, acc: 0.375000] 21149: [discriminator loss: 0.554393, acc: 0.734375] [adversarial loss: 1.606280, acc: 0.093750] 21150: [discriminator loss: 0.576680, acc: 0.679688] [adversarial loss: 0.813288, acc: 0.500000] 21151: [discriminator loss: 0.620356, acc: 0.656250] [adversarial loss: 1.412584, acc: 0.093750] 21152: [discriminator loss: 0.646397, acc: 0.585938] [adversarial loss: 0.818335, acc: 0.421875] 21153: [discriminator loss: 0.544810, acc: 0.679688] [adversarial loss: 1.374679, acc: 0.218750] 21154: [discriminator loss: 0.500212, acc: 0.742188] [adversarial loss: 0.989855, acc: 0.296875] 21155: [discriminator loss: 0.484512, acc: 0.789062] [adversarial loss: 1.329244, acc: 0.140625] 21156: [discriminator loss: 0.513113, acc: 0.718750] [adversarial loss: 1.063004, acc: 0.359375] 21157: [discriminator loss: 0.519641, acc: 0.750000] [adversarial loss: 1.118731, acc: 0.343750] 21158: [discriminator loss: 0.489200, acc: 0.757812] [adversarial loss: 1.418920, acc: 0.171875] 21159: [discriminator loss: 0.589961, acc: 0.664062] [adversarial loss: 1.343625, acc: 0.234375] 21160: [discriminator loss: 0.520281, acc: 0.750000] [adversarial loss: 1.029993, acc: 0.312500] 21161: [discriminator loss: 0.577183, acc: 0.679688] [adversarial loss: 1.368841, acc: 0.187500] 21162: [discriminator loss: 0.502930, acc: 0.789062] [adversarial loss: 1.110772, acc: 0.343750] 21163: [discriminator loss: 0.469522, acc: 0.757812] [adversarial loss: 1.225762, acc: 0.218750] 21164: [discriminator loss: 0.544454, acc: 0.679688] [adversarial loss: 1.000679, acc: 0.406250] 21165: [discriminator loss: 0.537507, acc: 0.757812] [adversarial loss: 1.381631, acc: 0.203125] 21166: [discriminator loss: 0.527771, acc: 0.789062] [adversarial loss: 0.960148, acc: 0.453125] 21167: [discriminator loss: 0.579341, acc: 0.695312] [adversarial loss: 1.383796, acc: 0.187500] 21168: [discriminator loss: 0.513542, acc: 0.695312] [adversarial loss: 0.842850, acc: 0.484375] 21169: [discriminator loss: 0.497258, acc: 0.757812] [adversarial loss: 1.644443, acc: 0.140625] 21170: [discriminator loss: 0.641264, acc: 0.664062] [adversarial loss: 0.650422, acc: 0.640625] 21171: [discriminator loss: 0.644401, acc: 0.664062] [adversarial loss: 1.539652, acc: 0.156250] 21172: [discriminator loss: 0.562975, acc: 0.671875] [adversarial loss: 0.848611, acc: 0.484375] 21173: [discriminator loss: 0.618932, acc: 0.679688] [adversarial loss: 1.449333, acc: 0.156250] 21174: [discriminator loss: 0.506219, acc: 0.734375] [adversarial loss: 0.827291, acc: 0.468750] 21175: [discriminator loss: 0.522694, acc: 0.742188] [adversarial loss: 1.267210, acc: 0.109375] 21176: [discriminator loss: 0.470799, acc: 0.750000] [adversarial loss: 1.180742, acc: 0.265625] 21177: [discriminator loss: 0.573706, acc: 0.695312] [adversarial loss: 1.352445, acc: 0.171875] 21178: [discriminator loss: 0.540008, acc: 0.703125] [adversarial loss: 0.977501, acc: 0.421875] 21179: [discriminator loss: 0.490015, acc: 0.781250] [adversarial loss: 1.077018, acc: 0.328125] 21180: [discriminator loss: 0.522985, acc: 0.742188] [adversarial loss: 1.156405, acc: 0.296875] 21181: [discriminator loss: 0.469828, acc: 0.804688] [adversarial loss: 1.440483, acc: 0.156250] 21182: [discriminator loss: 0.519983, acc: 0.734375] [adversarial loss: 1.228717, acc: 0.265625] 21183: [discriminator loss: 0.505257, acc: 0.734375] [adversarial loss: 1.377437, acc: 0.187500] 21184: [discriminator loss: 0.597730, acc: 0.625000] [adversarial loss: 1.003528, acc: 0.312500] 21185: [discriminator loss: 0.543515, acc: 0.726562] [adversarial loss: 1.441175, acc: 0.234375] 21186: [discriminator loss: 0.534642, acc: 0.718750] [adversarial loss: 0.956178, acc: 0.421875] 21187: [discriminator loss: 0.634820, acc: 0.679688] [adversarial loss: 1.222918, acc: 0.218750] 21188: [discriminator loss: 0.559834, acc: 0.726562] [adversarial loss: 0.870822, acc: 0.500000] 21189: [discriminator loss: 0.638769, acc: 0.632812] [adversarial loss: 1.768221, acc: 0.125000] 21190: [discriminator loss: 0.567780, acc: 0.656250] [adversarial loss: 0.938491, acc: 0.437500] 21191: [discriminator loss: 0.491199, acc: 0.757812] [adversarial loss: 1.356958, acc: 0.234375] 21192: [discriminator loss: 0.550014, acc: 0.671875] [adversarial loss: 0.830108, acc: 0.546875] 21193: [discriminator loss: 0.604599, acc: 0.671875] [adversarial loss: 1.666582, acc: 0.062500] 21194: [discriminator loss: 0.609557, acc: 0.632812] [adversarial loss: 0.774079, acc: 0.515625] 21195: [discriminator loss: 0.552676, acc: 0.710938] [adversarial loss: 1.526908, acc: 0.078125] 21196: [discriminator loss: 0.577794, acc: 0.671875] [adversarial loss: 0.939535, acc: 0.390625] 21197: [discriminator loss: 0.574787, acc: 0.703125] [adversarial loss: 1.594453, acc: 0.093750] 21198: [discriminator loss: 0.490356, acc: 0.718750] [adversarial loss: 0.910409, acc: 0.406250] 21199: [discriminator loss: 0.554353, acc: 0.710938] [adversarial loss: 1.265283, acc: 0.250000] 21200: [discriminator loss: 0.491264, acc: 0.718750] [adversarial loss: 1.192398, acc: 0.171875] 21201: [discriminator loss: 0.496123, acc: 0.773438] [adversarial loss: 1.262478, acc: 0.187500] 21202: [discriminator loss: 0.524422, acc: 0.742188] [adversarial loss: 1.077350, acc: 0.265625] 21203: [discriminator loss: 0.582592, acc: 0.703125] [adversarial loss: 1.146962, acc: 0.296875] 21204: [discriminator loss: 0.606166, acc: 0.703125] [adversarial loss: 1.354648, acc: 0.187500] 21205: [discriminator loss: 0.470622, acc: 0.789062] [adversarial loss: 1.084936, acc: 0.390625] 21206: [discriminator loss: 0.547424, acc: 0.695312] [adversarial loss: 1.089338, acc: 0.265625] 21207: [discriminator loss: 0.556383, acc: 0.718750] [adversarial loss: 1.050500, acc: 0.296875] 21208: [discriminator loss: 0.509832, acc: 0.742188] [adversarial loss: 1.444441, acc: 0.203125] 21209: [discriminator loss: 0.635946, acc: 0.609375] [adversarial loss: 1.115833, acc: 0.265625] 21210: [discriminator loss: 0.555963, acc: 0.710938] [adversarial loss: 1.165196, acc: 0.359375] 21211: [discriminator loss: 0.541789, acc: 0.750000] [adversarial loss: 1.336274, acc: 0.109375] 21212: [discriminator loss: 0.519957, acc: 0.750000] [adversarial loss: 0.937051, acc: 0.375000] 21213: [discriminator loss: 0.510767, acc: 0.804688] [adversarial loss: 1.382622, acc: 0.109375] 21214: [discriminator loss: 0.416014, acc: 0.820312] [adversarial loss: 0.915556, acc: 0.406250] 21215: [discriminator loss: 0.498370, acc: 0.742188] [adversarial loss: 1.505543, acc: 0.109375] 21216: [discriminator loss: 0.595136, acc: 0.664062] [adversarial loss: 0.768445, acc: 0.515625] 21217: [discriminator loss: 0.552614, acc: 0.757812] [adversarial loss: 1.594915, acc: 0.125000] 21218: [discriminator loss: 0.606359, acc: 0.664062] [adversarial loss: 0.637599, acc: 0.609375] 21219: [discriminator loss: 0.535420, acc: 0.710938] [adversarial loss: 1.087066, acc: 0.265625] 21220: [discriminator loss: 0.485145, acc: 0.742188] [adversarial loss: 1.061978, acc: 0.359375] 21221: [discriminator loss: 0.544703, acc: 0.695312] [adversarial loss: 1.200505, acc: 0.218750] 21222: [discriminator loss: 0.553904, acc: 0.687500] [adversarial loss: 1.027928, acc: 0.265625] 21223: [discriminator loss: 0.559423, acc: 0.703125] [adversarial loss: 1.264380, acc: 0.265625] 21224: [discriminator loss: 0.552904, acc: 0.726562] [adversarial loss: 0.906729, acc: 0.500000] 21225: [discriminator loss: 0.479636, acc: 0.773438] [adversarial loss: 1.110033, acc: 0.343750] 21226: [discriminator loss: 0.501365, acc: 0.750000] [adversarial loss: 1.246228, acc: 0.218750] 21227: [discriminator loss: 0.527783, acc: 0.695312] [adversarial loss: 0.929385, acc: 0.312500] 21228: [discriminator loss: 0.442857, acc: 0.750000] [adversarial loss: 1.530459, acc: 0.109375] 21229: [discriminator loss: 0.497028, acc: 0.734375] [adversarial loss: 1.049497, acc: 0.406250] 21230: [discriminator loss: 0.607920, acc: 0.718750] [adversarial loss: 1.703115, acc: 0.093750] 21231: [discriminator loss: 0.584290, acc: 0.695312] [adversarial loss: 1.011881, acc: 0.359375] 21232: [discriminator loss: 0.520126, acc: 0.742188] [adversarial loss: 1.410399, acc: 0.140625] 21233: [discriminator loss: 0.530856, acc: 0.710938] [adversarial loss: 0.952566, acc: 0.359375] 21234: [discriminator loss: 0.507634, acc: 0.773438] [adversarial loss: 1.679166, acc: 0.109375] 21235: [discriminator loss: 0.576287, acc: 0.703125] [adversarial loss: 0.884725, acc: 0.468750] 21236: [discriminator loss: 0.454022, acc: 0.812500] [adversarial loss: 1.227816, acc: 0.343750] 21237: [discriminator loss: 0.571973, acc: 0.734375] [adversarial loss: 1.239500, acc: 0.265625] 21238: [discriminator loss: 0.546739, acc: 0.726562] [adversarial loss: 1.275767, acc: 0.234375] 21239: [discriminator loss: 0.532597, acc: 0.703125] [adversarial loss: 1.026717, acc: 0.375000] 21240: [discriminator loss: 0.530234, acc: 0.710938] [adversarial loss: 1.704945, acc: 0.109375] 21241: [discriminator loss: 0.601992, acc: 0.695312] [adversarial loss: 0.930391, acc: 0.421875] 21242: [discriminator loss: 0.564543, acc: 0.671875] [adversarial loss: 1.666962, acc: 0.093750] 21243: [discriminator loss: 0.585775, acc: 0.664062] [adversarial loss: 0.967338, acc: 0.437500] 21244: [discriminator loss: 0.553315, acc: 0.750000] [adversarial loss: 1.260295, acc: 0.281250] 21245: [discriminator loss: 0.493926, acc: 0.750000] [adversarial loss: 0.981550, acc: 0.328125] 21246: [discriminator loss: 0.561777, acc: 0.648438] [adversarial loss: 1.554095, acc: 0.171875] 21247: [discriminator loss: 0.503784, acc: 0.734375] [adversarial loss: 0.740068, acc: 0.531250] 21248: [discriminator loss: 0.587232, acc: 0.679688] [adversarial loss: 1.271792, acc: 0.234375] 21249: [discriminator loss: 0.561841, acc: 0.703125] [adversarial loss: 0.660769, acc: 0.656250] 21250: [discriminator loss: 0.503059, acc: 0.734375] [adversarial loss: 1.277222, acc: 0.203125] 21251: [discriminator loss: 0.534437, acc: 0.734375] [adversarial loss: 1.219809, acc: 0.218750] 21252: [discriminator loss: 0.538260, acc: 0.718750] [adversarial loss: 1.217969, acc: 0.250000] 21253: [discriminator loss: 0.553059, acc: 0.734375] [adversarial loss: 1.269397, acc: 0.218750] 21254: [discriminator loss: 0.486955, acc: 0.773438] [adversarial loss: 1.042746, acc: 0.328125] 21255: [discriminator loss: 0.575325, acc: 0.640625] [adversarial loss: 0.970681, acc: 0.390625] 21256: [discriminator loss: 0.566086, acc: 0.695312] [adversarial loss: 1.085591, acc: 0.296875] 21257: [discriminator loss: 0.495806, acc: 0.726562] [adversarial loss: 1.281935, acc: 0.203125] 21258: [discriminator loss: 0.463604, acc: 0.750000] [adversarial loss: 0.939572, acc: 0.406250] 21259: [discriminator loss: 0.581689, acc: 0.687500] [adversarial loss: 1.280577, acc: 0.234375] 21260: [discriminator loss: 0.508955, acc: 0.773438] [adversarial loss: 0.819823, acc: 0.484375] 21261: [discriminator loss: 0.496679, acc: 0.781250] [adversarial loss: 1.436384, acc: 0.187500] 21262: [discriminator loss: 0.561218, acc: 0.726562] [adversarial loss: 0.826357, acc: 0.562500] 21263: [discriminator loss: 0.527694, acc: 0.718750] [adversarial loss: 1.575237, acc: 0.031250] 21264: [discriminator loss: 0.457937, acc: 0.796875] [adversarial loss: 0.990554, acc: 0.359375] 21265: [discriminator loss: 0.580645, acc: 0.695312] [adversarial loss: 1.236752, acc: 0.203125] 21266: [discriminator loss: 0.562765, acc: 0.695312] [adversarial loss: 0.842176, acc: 0.468750] 21267: [discriminator loss: 0.507413, acc: 0.750000] [adversarial loss: 1.359895, acc: 0.171875] 21268: [discriminator loss: 0.587217, acc: 0.679688] [adversarial loss: 1.080907, acc: 0.312500] 21269: [discriminator loss: 0.532838, acc: 0.687500] [adversarial loss: 1.085523, acc: 0.296875] 21270: [discriminator loss: 0.535383, acc: 0.687500] [adversarial loss: 1.302875, acc: 0.218750] 21271: [discriminator loss: 0.606637, acc: 0.671875] [adversarial loss: 1.379683, acc: 0.125000] 21272: [discriminator loss: 0.519942, acc: 0.804688] [adversarial loss: 1.442931, acc: 0.171875] 21273: [discriminator loss: 0.509648, acc: 0.773438] [adversarial loss: 1.084610, acc: 0.359375] 21274: [discriminator loss: 0.592676, acc: 0.656250] [adversarial loss: 1.584012, acc: 0.171875] 21275: [discriminator loss: 0.486804, acc: 0.781250] [adversarial loss: 1.104199, acc: 0.312500] 21276: [discriminator loss: 0.591414, acc: 0.695312] [adversarial loss: 1.389802, acc: 0.093750] 21277: [discriminator loss: 0.520242, acc: 0.765625] [adversarial loss: 1.092068, acc: 0.281250] 21278: [discriminator loss: 0.585925, acc: 0.640625] [adversarial loss: 1.217723, acc: 0.234375] 21279: [discriminator loss: 0.522599, acc: 0.695312] [adversarial loss: 1.200218, acc: 0.203125] 21280: [discriminator loss: 0.511407, acc: 0.726562] [adversarial loss: 1.241045, acc: 0.203125] 21281: [discriminator loss: 0.584711, acc: 0.687500] [adversarial loss: 1.250263, acc: 0.156250] 21282: [discriminator loss: 0.540612, acc: 0.734375] [adversarial loss: 1.144872, acc: 0.296875] 21283: [discriminator loss: 0.519247, acc: 0.718750] [adversarial loss: 0.859489, acc: 0.437500] 21284: [discriminator loss: 0.545660, acc: 0.726562] [adversarial loss: 1.549415, acc: 0.109375] 21285: [discriminator loss: 0.615420, acc: 0.703125] [adversarial loss: 1.059732, acc: 0.343750] 21286: [discriminator loss: 0.514021, acc: 0.726562] [adversarial loss: 1.810277, acc: 0.046875] 21287: [discriminator loss: 0.620603, acc: 0.632812] [adversarial loss: 0.915164, acc: 0.390625] 21288: [discriminator loss: 0.546901, acc: 0.710938] [adversarial loss: 1.590050, acc: 0.046875] 21289: [discriminator loss: 0.543370, acc: 0.726562] [adversarial loss: 0.996430, acc: 0.406250] 21290: [discriminator loss: 0.531173, acc: 0.757812] [adversarial loss: 1.467955, acc: 0.093750] 21291: [discriminator loss: 0.555412, acc: 0.703125] [adversarial loss: 0.952831, acc: 0.359375] 21292: [discriminator loss: 0.498293, acc: 0.757812] [adversarial loss: 1.370480, acc: 0.171875] 21293: [discriminator loss: 0.507300, acc: 0.757812] [adversarial loss: 0.902080, acc: 0.421875] 21294: [discriminator loss: 0.573198, acc: 0.726562] [adversarial loss: 1.620540, acc: 0.109375] 21295: [discriminator loss: 0.590470, acc: 0.687500] [adversarial loss: 0.826014, acc: 0.531250] 21296: [discriminator loss: 0.618196, acc: 0.679688] [adversarial loss: 1.775244, acc: 0.109375] 21297: [discriminator loss: 0.570902, acc: 0.671875] [adversarial loss: 0.822729, acc: 0.437500] 21298: [discriminator loss: 0.535039, acc: 0.703125] [adversarial loss: 1.366535, acc: 0.156250] 21299: [discriminator loss: 0.505378, acc: 0.734375] [adversarial loss: 0.982239, acc: 0.375000] 21300: [discriminator loss: 0.497815, acc: 0.781250] [adversarial loss: 1.239457, acc: 0.218750] 21301: [discriminator loss: 0.611715, acc: 0.703125] [adversarial loss: 0.915134, acc: 0.375000] 21302: [discriminator loss: 0.507380, acc: 0.765625] [adversarial loss: 1.146167, acc: 0.296875] 21303: [discriminator loss: 0.495837, acc: 0.726562] [adversarial loss: 1.057619, acc: 0.390625] 21304: [discriminator loss: 0.508040, acc: 0.703125] [adversarial loss: 1.130161, acc: 0.234375] 21305: [discriminator loss: 0.516232, acc: 0.726562] [adversarial loss: 1.104414, acc: 0.281250] 21306: [discriminator loss: 0.598105, acc: 0.695312] [adversarial loss: 1.226387, acc: 0.203125] 21307: [discriminator loss: 0.535951, acc: 0.703125] [adversarial loss: 1.263107, acc: 0.296875] 21308: [discriminator loss: 0.545556, acc: 0.687500] [adversarial loss: 1.134160, acc: 0.250000] 21309: [discriminator loss: 0.538114, acc: 0.695312] [adversarial loss: 1.145775, acc: 0.234375] 21310: [discriminator loss: 0.493253, acc: 0.734375] [adversarial loss: 1.181566, acc: 0.218750] 21311: [discriminator loss: 0.518957, acc: 0.765625] [adversarial loss: 1.175241, acc: 0.250000] 21312: [discriminator loss: 0.540432, acc: 0.703125] [adversarial loss: 1.305253, acc: 0.218750] 21313: [discriminator loss: 0.503154, acc: 0.726562] [adversarial loss: 0.945684, acc: 0.296875] 21314: [discriminator loss: 0.551769, acc: 0.718750] [adversarial loss: 1.605718, acc: 0.140625] 21315: [discriminator loss: 0.471350, acc: 0.804688] [adversarial loss: 0.731894, acc: 0.562500] 21316: [discriminator loss: 0.545081, acc: 0.718750] [adversarial loss: 1.636258, acc: 0.062500] 21317: [discriminator loss: 0.507178, acc: 0.757812] [adversarial loss: 0.882459, acc: 0.484375] 21318: [discriminator loss: 0.588445, acc: 0.718750] [adversarial loss: 1.619681, acc: 0.062500] 21319: [discriminator loss: 0.582208, acc: 0.710938] [adversarial loss: 0.942630, acc: 0.359375] 21320: [discriminator loss: 0.592054, acc: 0.679688] [adversarial loss: 1.598328, acc: 0.046875] 21321: [discriminator loss: 0.528255, acc: 0.695312] [adversarial loss: 0.837411, acc: 0.484375] 21322: [discriminator loss: 0.580325, acc: 0.703125] [adversarial loss: 1.154558, acc: 0.234375] 21323: [discriminator loss: 0.531409, acc: 0.703125] [adversarial loss: 1.022236, acc: 0.343750] 21324: [discriminator loss: 0.539419, acc: 0.718750] [adversarial loss: 1.331126, acc: 0.234375] 21325: [discriminator loss: 0.506755, acc: 0.734375] [adversarial loss: 0.831667, acc: 0.500000] 21326: [discriminator loss: 0.550432, acc: 0.750000] [adversarial loss: 1.400529, acc: 0.156250] 21327: [discriminator loss: 0.497976, acc: 0.750000] [adversarial loss: 1.032610, acc: 0.375000] 21328: [discriminator loss: 0.592829, acc: 0.679688] [adversarial loss: 1.070036, acc: 0.328125] 21329: [discriminator loss: 0.641591, acc: 0.664062] [adversarial loss: 1.155592, acc: 0.234375] 21330: [discriminator loss: 0.473023, acc: 0.773438] [adversarial loss: 1.425725, acc: 0.156250] 21331: [discriminator loss: 0.508492, acc: 0.726562] [adversarial loss: 0.970380, acc: 0.343750] 21332: [discriminator loss: 0.513322, acc: 0.765625] [adversarial loss: 1.245490, acc: 0.218750] 21333: [discriminator loss: 0.567627, acc: 0.648438] [adversarial loss: 1.327870, acc: 0.187500] 21334: [discriminator loss: 0.561874, acc: 0.734375] [adversarial loss: 1.192866, acc: 0.281250] 21335: [discriminator loss: 0.524875, acc: 0.773438] [adversarial loss: 1.337458, acc: 0.265625] 21336: [discriminator loss: 0.483308, acc: 0.773438] [adversarial loss: 0.982189, acc: 0.328125] 21337: [discriminator loss: 0.560104, acc: 0.703125] [adversarial loss: 1.435638, acc: 0.109375] 21338: [discriminator loss: 0.550561, acc: 0.679688] [adversarial loss: 0.797337, acc: 0.578125] 21339: [discriminator loss: 0.571379, acc: 0.742188] [adversarial loss: 1.249944, acc: 0.171875] 21340: [discriminator loss: 0.563708, acc: 0.671875] [adversarial loss: 0.766548, acc: 0.578125] 21341: [discriminator loss: 0.572089, acc: 0.695312] [adversarial loss: 1.654951, acc: 0.062500] 21342: [discriminator loss: 0.587129, acc: 0.687500] [adversarial loss: 1.156393, acc: 0.328125] 21343: [discriminator loss: 0.513615, acc: 0.718750] [adversarial loss: 1.203130, acc: 0.218750] 21344: [discriminator loss: 0.529450, acc: 0.742188] [adversarial loss: 1.196857, acc: 0.234375] 21345: [discriminator loss: 0.552747, acc: 0.687500] [adversarial loss: 1.301734, acc: 0.187500] 21346: [discriminator loss: 0.591983, acc: 0.687500] [adversarial loss: 1.278990, acc: 0.187500] 21347: [discriminator loss: 0.518015, acc: 0.734375] [adversarial loss: 1.020259, acc: 0.375000] 21348: [discriminator loss: 0.447339, acc: 0.796875] [adversarial loss: 1.383263, acc: 0.234375] 21349: [discriminator loss: 0.549812, acc: 0.703125] [adversarial loss: 0.899373, acc: 0.390625] 21350: [discriminator loss: 0.609760, acc: 0.671875] [adversarial loss: 1.646453, acc: 0.046875] 21351: [discriminator loss: 0.542393, acc: 0.734375] [adversarial loss: 0.884527, acc: 0.421875] 21352: [discriminator loss: 0.573657, acc: 0.703125] [adversarial loss: 1.534702, acc: 0.140625] 21353: [discriminator loss: 0.541297, acc: 0.734375] [adversarial loss: 0.946710, acc: 0.421875] 21354: [discriminator loss: 0.475075, acc: 0.789062] [adversarial loss: 1.310002, acc: 0.234375] 21355: [discriminator loss: 0.612626, acc: 0.671875] [adversarial loss: 1.083202, acc: 0.406250] 21356: [discriminator loss: 0.494323, acc: 0.789062] [adversarial loss: 1.413908, acc: 0.140625] 21357: [discriminator loss: 0.580756, acc: 0.640625] [adversarial loss: 0.887414, acc: 0.437500] 21358: [discriminator loss: 0.542349, acc: 0.687500] [adversarial loss: 1.423398, acc: 0.140625] 21359: [discriminator loss: 0.509016, acc: 0.742188] [adversarial loss: 0.982014, acc: 0.359375] 21360: [discriminator loss: 0.502728, acc: 0.750000] [adversarial loss: 0.962225, acc: 0.359375] 21361: [discriminator loss: 0.532401, acc: 0.726562] [adversarial loss: 1.416482, acc: 0.109375] 21362: [discriminator loss: 0.514962, acc: 0.710938] [adversarial loss: 1.289511, acc: 0.250000] 21363: [discriminator loss: 0.598976, acc: 0.671875] [adversarial loss: 1.083507, acc: 0.281250] 21364: [discriminator loss: 0.578581, acc: 0.671875] [adversarial loss: 1.350697, acc: 0.171875] 21365: [discriminator loss: 0.512198, acc: 0.703125] [adversarial loss: 1.189248, acc: 0.234375] 21366: [discriminator loss: 0.495674, acc: 0.765625] [adversarial loss: 1.286610, acc: 0.203125] 21367: [discriminator loss: 0.531523, acc: 0.710938] [adversarial loss: 0.932466, acc: 0.468750] 21368: [discriminator loss: 0.558138, acc: 0.671875] [adversarial loss: 1.599255, acc: 0.062500] 21369: [discriminator loss: 0.588477, acc: 0.656250] [adversarial loss: 0.704957, acc: 0.578125] 21370: [discriminator loss: 0.580785, acc: 0.671875] [adversarial loss: 1.576610, acc: 0.156250] 21371: [discriminator loss: 0.593495, acc: 0.687500] [adversarial loss: 0.726636, acc: 0.656250] 21372: [discriminator loss: 0.479266, acc: 0.742188] [adversarial loss: 1.354812, acc: 0.140625] 21373: [discriminator loss: 0.551622, acc: 0.710938] [adversarial loss: 0.769246, acc: 0.484375] 21374: [discriminator loss: 0.559175, acc: 0.710938] [adversarial loss: 1.346137, acc: 0.093750] 21375: [discriminator loss: 0.574766, acc: 0.656250] [adversarial loss: 1.097927, acc: 0.328125] 21376: [discriminator loss: 0.469825, acc: 0.789062] [adversarial loss: 1.243238, acc: 0.218750] 21377: [discriminator loss: 0.557630, acc: 0.710938] [adversarial loss: 1.214488, acc: 0.234375] 21378: [discriminator loss: 0.576262, acc: 0.640625] [adversarial loss: 1.382004, acc: 0.109375] 21379: [discriminator loss: 0.593550, acc: 0.687500] [adversarial loss: 1.040095, acc: 0.312500] 21380: [discriminator loss: 0.520778, acc: 0.734375] [adversarial loss: 1.903048, acc: 0.031250] 21381: [discriminator loss: 0.577940, acc: 0.687500] [adversarial loss: 0.820913, acc: 0.421875] 21382: [discriminator loss: 0.562282, acc: 0.703125] [adversarial loss: 1.483730, acc: 0.250000] 21383: [discriminator loss: 0.534788, acc: 0.734375] [adversarial loss: 0.955374, acc: 0.406250] 21384: [discriminator loss: 0.561169, acc: 0.679688] [adversarial loss: 1.107522, acc: 0.281250] 21385: [discriminator loss: 0.543194, acc: 0.687500] [adversarial loss: 1.433698, acc: 0.171875] 21386: [discriminator loss: 0.534613, acc: 0.718750] [adversarial loss: 0.906140, acc: 0.421875] 21387: [discriminator loss: 0.613780, acc: 0.703125] [adversarial loss: 1.406468, acc: 0.125000] 21388: [discriminator loss: 0.579008, acc: 0.726562] [adversarial loss: 0.911194, acc: 0.453125] 21389: [discriminator loss: 0.535931, acc: 0.710938] [adversarial loss: 1.144659, acc: 0.296875] 21390: [discriminator loss: 0.518461, acc: 0.718750] [adversarial loss: 0.920429, acc: 0.359375] 21391: [discriminator loss: 0.542876, acc: 0.734375] [adversarial loss: 1.772617, acc: 0.078125] 21392: [discriminator loss: 0.551511, acc: 0.695312] [adversarial loss: 1.148506, acc: 0.250000] 21393: [discriminator loss: 0.481561, acc: 0.773438] [adversarial loss: 1.448785, acc: 0.187500] 21394: [discriminator loss: 0.531463, acc: 0.718750] [adversarial loss: 1.045879, acc: 0.359375] 21395: [discriminator loss: 0.538870, acc: 0.703125] [adversarial loss: 1.583850, acc: 0.140625] 21396: [discriminator loss: 0.494255, acc: 0.750000] [adversarial loss: 1.113430, acc: 0.312500] 21397: [discriminator loss: 0.534081, acc: 0.703125] [adversarial loss: 1.573319, acc: 0.125000] 21398: [discriminator loss: 0.535498, acc: 0.710938] [adversarial loss: 0.853500, acc: 0.421875] 21399: [discriminator loss: 0.520909, acc: 0.703125] [adversarial loss: 1.844475, acc: 0.062500] 21400: [discriminator loss: 0.545651, acc: 0.671875] [adversarial loss: 0.899918, acc: 0.468750] 21401: [discriminator loss: 0.601881, acc: 0.632812] [adversarial loss: 1.443157, acc: 0.156250] 21402: [discriminator loss: 0.508037, acc: 0.710938] [adversarial loss: 0.999012, acc: 0.390625] 21403: [discriminator loss: 0.537166, acc: 0.679688] [adversarial loss: 1.326278, acc: 0.218750] 21404: [discriminator loss: 0.493603, acc: 0.812500] [adversarial loss: 1.649883, acc: 0.140625] 21405: [discriminator loss: 0.581313, acc: 0.710938] [adversarial loss: 0.795234, acc: 0.515625] 21406: [discriminator loss: 0.561602, acc: 0.703125] [adversarial loss: 1.602001, acc: 0.187500] 21407: [discriminator loss: 0.578213, acc: 0.695312] [adversarial loss: 0.796577, acc: 0.484375] 21408: [discriminator loss: 0.614040, acc: 0.656250] [adversarial loss: 1.645525, acc: 0.078125] 21409: [discriminator loss: 0.560213, acc: 0.703125] [adversarial loss: 1.095831, acc: 0.234375] 21410: [discriminator loss: 0.504379, acc: 0.718750] [adversarial loss: 1.240167, acc: 0.218750] 21411: [discriminator loss: 0.538343, acc: 0.695312] [adversarial loss: 0.977542, acc: 0.296875] 21412: [discriminator loss: 0.533585, acc: 0.726562] [adversarial loss: 1.369302, acc: 0.140625] 21413: [discriminator loss: 0.566999, acc: 0.750000] [adversarial loss: 1.585297, acc: 0.078125] 21414: [discriminator loss: 0.502227, acc: 0.718750] [adversarial loss: 0.792127, acc: 0.593750] 21415: [discriminator loss: 0.524605, acc: 0.765625] [adversarial loss: 1.316416, acc: 0.234375] 21416: [discriminator loss: 0.523753, acc: 0.742188] [adversarial loss: 1.226417, acc: 0.203125] 21417: [discriminator loss: 0.493380, acc: 0.781250] [adversarial loss: 1.310152, acc: 0.218750] 21418: [discriminator loss: 0.534270, acc: 0.718750] [adversarial loss: 1.260236, acc: 0.078125] 21419: [discriminator loss: 0.556424, acc: 0.695312] [adversarial loss: 1.166025, acc: 0.234375] 21420: [discriminator loss: 0.499360, acc: 0.765625] [adversarial loss: 1.093511, acc: 0.281250] 21421: [discriminator loss: 0.572782, acc: 0.679688] [adversarial loss: 1.103891, acc: 0.265625] 21422: [discriminator loss: 0.568192, acc: 0.679688] [adversarial loss: 1.142510, acc: 0.250000] 21423: [discriminator loss: 0.582570, acc: 0.656250] [adversarial loss: 1.064301, acc: 0.359375] 21424: [discriminator loss: 0.517923, acc: 0.703125] [adversarial loss: 1.407414, acc: 0.156250] 21425: [discriminator loss: 0.498528, acc: 0.734375] [adversarial loss: 1.113418, acc: 0.328125] 21426: [discriminator loss: 0.544268, acc: 0.734375] [adversarial loss: 1.139301, acc: 0.265625] 21427: [discriminator loss: 0.548680, acc: 0.703125] [adversarial loss: 1.301625, acc: 0.203125] 21428: [discriminator loss: 0.534197, acc: 0.710938] [adversarial loss: 0.709958, acc: 0.625000] 21429: [discriminator loss: 0.653989, acc: 0.648438] [adversarial loss: 1.670191, acc: 0.171875] 21430: [discriminator loss: 0.620452, acc: 0.656250] [adversarial loss: 0.915906, acc: 0.406250] 21431: [discriminator loss: 0.550348, acc: 0.734375] [adversarial loss: 1.277340, acc: 0.250000] 21432: [discriminator loss: 0.519125, acc: 0.718750] [adversarial loss: 1.303398, acc: 0.218750] 21433: [discriminator loss: 0.542149, acc: 0.726562] [adversarial loss: 1.262986, acc: 0.265625] 21434: [discriminator loss: 0.487320, acc: 0.742188] [adversarial loss: 1.042371, acc: 0.359375] 21435: [discriminator loss: 0.475636, acc: 0.781250] [adversarial loss: 1.362972, acc: 0.171875] 21436: [discriminator loss: 0.528555, acc: 0.671875] [adversarial loss: 1.102985, acc: 0.296875] 21437: [discriminator loss: 0.521140, acc: 0.726562] [adversarial loss: 1.480612, acc: 0.156250] 21438: [discriminator loss: 0.579434, acc: 0.687500] [adversarial loss: 0.762745, acc: 0.546875] 21439: [discriminator loss: 0.554316, acc: 0.703125] [adversarial loss: 1.652175, acc: 0.031250] 21440: [discriminator loss: 0.524467, acc: 0.718750] [adversarial loss: 0.972374, acc: 0.406250] 21441: [discriminator loss: 0.663972, acc: 0.648438] [adversarial loss: 1.707952, acc: 0.046875] 21442: [discriminator loss: 0.516168, acc: 0.750000] [adversarial loss: 0.932948, acc: 0.406250] 21443: [discriminator loss: 0.524883, acc: 0.742188] [adversarial loss: 1.730793, acc: 0.109375] 21444: [discriminator loss: 0.549203, acc: 0.703125] [adversarial loss: 0.938132, acc: 0.437500] 21445: [discriminator loss: 0.535802, acc: 0.796875] [adversarial loss: 1.535936, acc: 0.125000] 21446: [discriminator loss: 0.558797, acc: 0.742188] [adversarial loss: 1.052730, acc: 0.343750] 21447: [discriminator loss: 0.497072, acc: 0.703125] [adversarial loss: 1.286882, acc: 0.109375] 21448: [discriminator loss: 0.618264, acc: 0.656250] [adversarial loss: 0.941923, acc: 0.421875] 21449: [discriminator loss: 0.550927, acc: 0.687500] [adversarial loss: 1.635624, acc: 0.078125] 21450: [discriminator loss: 0.551418, acc: 0.687500] [adversarial loss: 1.085315, acc: 0.296875] 21451: [discriminator loss: 0.595708, acc: 0.726562] [adversarial loss: 1.465810, acc: 0.109375] 21452: [discriminator loss: 0.578726, acc: 0.664062] [adversarial loss: 0.886152, acc: 0.593750] 21453: [discriminator loss: 0.519587, acc: 0.781250] [adversarial loss: 1.224884, acc: 0.171875] 21454: [discriminator loss: 0.519776, acc: 0.750000] [adversarial loss: 1.186684, acc: 0.234375] 21455: [discriminator loss: 0.510723, acc: 0.742188] [adversarial loss: 1.183311, acc: 0.234375] 21456: [discriminator loss: 0.511686, acc: 0.742188] [adversarial loss: 1.447693, acc: 0.140625] 21457: [discriminator loss: 0.527792, acc: 0.734375] [adversarial loss: 1.179760, acc: 0.265625] 21458: [discriminator loss: 0.462830, acc: 0.765625] [adversarial loss: 1.473452, acc: 0.125000] 21459: [discriminator loss: 0.608582, acc: 0.648438] [adversarial loss: 0.992233, acc: 0.328125] 21460: [discriminator loss: 0.553684, acc: 0.750000] [adversarial loss: 1.197841, acc: 0.281250] 21461: [discriminator loss: 0.443868, acc: 0.820312] [adversarial loss: 0.920235, acc: 0.468750] 21462: [discriminator loss: 0.527433, acc: 0.726562] [adversarial loss: 1.629731, acc: 0.093750] 21463: [discriminator loss: 0.522852, acc: 0.726562] [adversarial loss: 0.954512, acc: 0.328125] 21464: [discriminator loss: 0.479885, acc: 0.765625] [adversarial loss: 1.472438, acc: 0.140625] 21465: [discriminator loss: 0.591064, acc: 0.703125] [adversarial loss: 0.756558, acc: 0.531250] 21466: [discriminator loss: 0.539310, acc: 0.703125] [adversarial loss: 1.368932, acc: 0.218750] 21467: [discriminator loss: 0.591444, acc: 0.703125] [adversarial loss: 0.778070, acc: 0.578125] 21468: [discriminator loss: 0.547997, acc: 0.742188] [adversarial loss: 1.385413, acc: 0.203125] 21469: [discriminator loss: 0.596181, acc: 0.687500] [adversarial loss: 1.097126, acc: 0.265625] 21470: [discriminator loss: 0.530572, acc: 0.710938] [adversarial loss: 1.199984, acc: 0.265625] 21471: [discriminator loss: 0.559455, acc: 0.679688] [adversarial loss: 1.575274, acc: 0.109375] 21472: [discriminator loss: 0.529505, acc: 0.750000] [adversarial loss: 0.810558, acc: 0.546875] 21473: [discriminator loss: 0.482331, acc: 0.757812] [adversarial loss: 1.454418, acc: 0.140625] 21474: [discriminator loss: 0.571183, acc: 0.671875] [adversarial loss: 1.113626, acc: 0.328125] 21475: [discriminator loss: 0.497117, acc: 0.742188] [adversarial loss: 1.282515, acc: 0.250000] 21476: [discriminator loss: 0.633784, acc: 0.625000] [adversarial loss: 1.117481, acc: 0.328125] 21477: [discriminator loss: 0.530869, acc: 0.734375] [adversarial loss: 1.575624, acc: 0.140625] 21478: [discriminator loss: 0.543762, acc: 0.718750] [adversarial loss: 0.817419, acc: 0.453125] 21479: [discriminator loss: 0.601008, acc: 0.742188] [adversarial loss: 1.610633, acc: 0.109375] 21480: [discriminator loss: 0.541410, acc: 0.703125] [adversarial loss: 0.874857, acc: 0.421875] 21481: [discriminator loss: 0.629526, acc: 0.648438] [adversarial loss: 1.386822, acc: 0.156250] 21482: [discriminator loss: 0.544202, acc: 0.703125] [adversarial loss: 1.016376, acc: 0.375000] 21483: [discriminator loss: 0.526381, acc: 0.734375] [adversarial loss: 1.189756, acc: 0.265625] 21484: [discriminator loss: 0.560286, acc: 0.734375] [adversarial loss: 1.136482, acc: 0.296875] 21485: [discriminator loss: 0.578700, acc: 0.679688] [adversarial loss: 1.188814, acc: 0.187500] 21486: [discriminator loss: 0.534345, acc: 0.734375] [adversarial loss: 1.313161, acc: 0.265625] 21487: [discriminator loss: 0.587292, acc: 0.703125] [adversarial loss: 1.114961, acc: 0.250000] 21488: [discriminator loss: 0.485211, acc: 0.750000] [adversarial loss: 1.391918, acc: 0.312500] 21489: [discriminator loss: 0.562244, acc: 0.710938] [adversarial loss: 1.059646, acc: 0.250000] 21490: [discriminator loss: 0.575309, acc: 0.679688] [adversarial loss: 1.353719, acc: 0.125000] 21491: [discriminator loss: 0.506516, acc: 0.765625] [adversarial loss: 1.136116, acc: 0.234375] 21492: [discriminator loss: 0.545687, acc: 0.710938] [adversarial loss: 1.153385, acc: 0.218750] 21493: [discriminator loss: 0.605019, acc: 0.710938] [adversarial loss: 1.353887, acc: 0.218750] 21494: [discriminator loss: 0.527808, acc: 0.734375] [adversarial loss: 1.125490, acc: 0.281250] 21495: [discriminator loss: 0.525926, acc: 0.718750] [adversarial loss: 1.341216, acc: 0.171875] 21496: [discriminator loss: 0.544660, acc: 0.718750] [adversarial loss: 1.220421, acc: 0.250000] 21497: [discriminator loss: 0.521247, acc: 0.750000] [adversarial loss: 1.134859, acc: 0.187500] 21498: [discriminator loss: 0.574831, acc: 0.703125] [adversarial loss: 1.088598, acc: 0.281250] 21499: [discriminator loss: 0.545703, acc: 0.750000] [adversarial loss: 1.317163, acc: 0.281250] 21500: [discriminator loss: 0.492945, acc: 0.773438] [adversarial loss: 1.213626, acc: 0.265625] 21501: [discriminator loss: 0.576176, acc: 0.718750] [adversarial loss: 0.989943, acc: 0.375000] 21502: [discriminator loss: 0.544330, acc: 0.726562] [adversarial loss: 1.211576, acc: 0.218750] 21503: [discriminator loss: 0.568243, acc: 0.710938] [adversarial loss: 1.020011, acc: 0.343750] 21504: [discriminator loss: 0.549812, acc: 0.695312] [adversarial loss: 1.590405, acc: 0.078125] 21505: [discriminator loss: 0.556375, acc: 0.687500] [adversarial loss: 0.752538, acc: 0.593750] 21506: [discriminator loss: 0.563384, acc: 0.726562] [adversarial loss: 1.627067, acc: 0.093750] 21507: [discriminator loss: 0.549686, acc: 0.656250] [adversarial loss: 0.689391, acc: 0.578125] 21508: [discriminator loss: 0.548231, acc: 0.750000] [adversarial loss: 1.426215, acc: 0.125000] 21509: [discriminator loss: 0.552616, acc: 0.687500] [adversarial loss: 1.096601, acc: 0.234375] 21510: [discriminator loss: 0.571973, acc: 0.687500] [adversarial loss: 1.429326, acc: 0.109375] 21511: [discriminator loss: 0.605150, acc: 0.632812] [adversarial loss: 1.203460, acc: 0.234375] 21512: [discriminator loss: 0.504422, acc: 0.718750] [adversarial loss: 1.009347, acc: 0.406250] 21513: [discriminator loss: 0.558699, acc: 0.726562] [adversarial loss: 1.311296, acc: 0.156250] 21514: [discriminator loss: 0.512087, acc: 0.757812] [adversarial loss: 1.005923, acc: 0.250000] 21515: [discriminator loss: 0.542158, acc: 0.726562] [adversarial loss: 1.611963, acc: 0.093750] 21516: [discriminator loss: 0.515235, acc: 0.726562] [adversarial loss: 0.963537, acc: 0.359375] 21517: [discriminator loss: 0.518108, acc: 0.726562] [adversarial loss: 1.271189, acc: 0.187500] 21518: [discriminator loss: 0.602474, acc: 0.625000] [adversarial loss: 1.105528, acc: 0.250000] 21519: [discriminator loss: 0.507075, acc: 0.742188] [adversarial loss: 1.006085, acc: 0.406250] 21520: [discriminator loss: 0.528082, acc: 0.773438] [adversarial loss: 1.280170, acc: 0.265625] 21521: [discriminator loss: 0.514408, acc: 0.718750] [adversarial loss: 1.017701, acc: 0.312500] 21522: [discriminator loss: 0.564961, acc: 0.726562] [adversarial loss: 1.160260, acc: 0.312500] 21523: [discriminator loss: 0.513999, acc: 0.703125] [adversarial loss: 1.063458, acc: 0.203125] 21524: [discriminator loss: 0.505829, acc: 0.789062] [adversarial loss: 1.222824, acc: 0.187500] 21525: [discriminator loss: 0.538074, acc: 0.710938] [adversarial loss: 0.822728, acc: 0.468750] 21526: [discriminator loss: 0.554825, acc: 0.742188] [adversarial loss: 1.511894, acc: 0.203125] 21527: [discriminator loss: 0.637380, acc: 0.664062] [adversarial loss: 0.871420, acc: 0.421875] 21528: [discriminator loss: 0.610074, acc: 0.703125] [adversarial loss: 1.419833, acc: 0.078125] 21529: [discriminator loss: 0.516497, acc: 0.726562] [adversarial loss: 0.860211, acc: 0.421875] 21530: [discriminator loss: 0.581101, acc: 0.695312] [adversarial loss: 1.534763, acc: 0.093750] 21531: [discriminator loss: 0.617630, acc: 0.632812] [adversarial loss: 0.838988, acc: 0.468750] 21532: [discriminator loss: 0.454297, acc: 0.765625] [adversarial loss: 1.496878, acc: 0.187500] 21533: [discriminator loss: 0.616780, acc: 0.710938] [adversarial loss: 0.840679, acc: 0.468750] 21534: [discriminator loss: 0.531043, acc: 0.703125] [adversarial loss: 1.520561, acc: 0.125000] 21535: [discriminator loss: 0.512674, acc: 0.703125] [adversarial loss: 0.968191, acc: 0.359375] 21536: [discriminator loss: 0.549881, acc: 0.718750] [adversarial loss: 1.559241, acc: 0.078125] 21537: [discriminator loss: 0.534718, acc: 0.726562] [adversarial loss: 1.176885, acc: 0.343750] 21538: [discriminator loss: 0.510537, acc: 0.742188] [adversarial loss: 1.516158, acc: 0.109375] 21539: [discriminator loss: 0.531452, acc: 0.718750] [adversarial loss: 1.057020, acc: 0.390625] 21540: [discriminator loss: 0.564201, acc: 0.695312] [adversarial loss: 1.664239, acc: 0.140625] 21541: [discriminator loss: 0.589074, acc: 0.640625] [adversarial loss: 1.140502, acc: 0.234375] 21542: [discriminator loss: 0.523929, acc: 0.757812] [adversarial loss: 0.933072, acc: 0.406250] 21543: [discriminator loss: 0.617362, acc: 0.679688] [adversarial loss: 1.153915, acc: 0.234375] 21544: [discriminator loss: 0.542517, acc: 0.734375] [adversarial loss: 1.124478, acc: 0.281250] 21545: [discriminator loss: 0.509512, acc: 0.750000] [adversarial loss: 1.037693, acc: 0.359375] 21546: [discriminator loss: 0.576265, acc: 0.687500] [adversarial loss: 1.401367, acc: 0.156250] 21547: [discriminator loss: 0.539001, acc: 0.703125] [adversarial loss: 0.994239, acc: 0.359375] 21548: [discriminator loss: 0.548112, acc: 0.710938] [adversarial loss: 1.342399, acc: 0.187500] 21549: [discriminator loss: 0.547231, acc: 0.703125] [adversarial loss: 1.025419, acc: 0.328125] 21550: [discriminator loss: 0.533294, acc: 0.710938] [adversarial loss: 1.539647, acc: 0.140625] 21551: [discriminator loss: 0.608130, acc: 0.679688] [adversarial loss: 0.963269, acc: 0.328125] 21552: [discriminator loss: 0.524050, acc: 0.750000] [adversarial loss: 1.524445, acc: 0.156250] 21553: [discriminator loss: 0.531409, acc: 0.750000] [adversarial loss: 1.167016, acc: 0.281250] 21554: [discriminator loss: 0.556500, acc: 0.679688] [adversarial loss: 1.493186, acc: 0.187500] 21555: [discriminator loss: 0.504026, acc: 0.718750] [adversarial loss: 1.124258, acc: 0.281250] 21556: [discriminator loss: 0.560368, acc: 0.718750] [adversarial loss: 1.528507, acc: 0.187500] 21557: [discriminator loss: 0.556748, acc: 0.703125] [adversarial loss: 0.929474, acc: 0.453125] 21558: [discriminator loss: 0.577002, acc: 0.640625] [adversarial loss: 1.511964, acc: 0.078125] 21559: [discriminator loss: 0.546870, acc: 0.703125] [adversarial loss: 0.974015, acc: 0.437500] 21560: [discriminator loss: 0.598680, acc: 0.664062] [adversarial loss: 1.258173, acc: 0.171875] 21561: [discriminator loss: 0.549390, acc: 0.734375] [adversarial loss: 1.034273, acc: 0.343750] 21562: [discriminator loss: 0.542944, acc: 0.718750] [adversarial loss: 1.343299, acc: 0.156250] 21563: [discriminator loss: 0.521487, acc: 0.734375] [adversarial loss: 1.074000, acc: 0.296875] 21564: [discriminator loss: 0.494030, acc: 0.773438] [adversarial loss: 1.203692, acc: 0.218750] 21565: [discriminator loss: 0.459487, acc: 0.804688] [adversarial loss: 1.465990, acc: 0.140625] 21566: [discriminator loss: 0.534809, acc: 0.734375] [adversarial loss: 0.905015, acc: 0.421875] 21567: [discriminator loss: 0.601384, acc: 0.679688] [adversarial loss: 1.591298, acc: 0.062500] 21568: [discriminator loss: 0.504145, acc: 0.757812] [adversarial loss: 0.953777, acc: 0.406250] 21569: [discriminator loss: 0.687629, acc: 0.601562] [adversarial loss: 1.527679, acc: 0.093750] 21570: [discriminator loss: 0.561150, acc: 0.671875] [adversarial loss: 0.852537, acc: 0.468750] 21571: [discriminator loss: 0.628577, acc: 0.664062] [adversarial loss: 1.668179, acc: 0.093750] 21572: [discriminator loss: 0.640168, acc: 0.617188] [adversarial loss: 0.790213, acc: 0.515625] 21573: [discriminator loss: 0.553614, acc: 0.718750] [adversarial loss: 1.429696, acc: 0.140625] 21574: [discriminator loss: 0.592544, acc: 0.625000] [adversarial loss: 1.035986, acc: 0.359375] 21575: [discriminator loss: 0.504969, acc: 0.757812] [adversarial loss: 1.184497, acc: 0.281250] 21576: [discriminator loss: 0.551031, acc: 0.734375] [adversarial loss: 1.450973, acc: 0.140625] 21577: [discriminator loss: 0.610263, acc: 0.632812] [adversarial loss: 0.962663, acc: 0.390625] 21578: [discriminator loss: 0.522602, acc: 0.765625] [adversarial loss: 1.389204, acc: 0.171875] 21579: [discriminator loss: 0.627325, acc: 0.632812] [adversarial loss: 1.162193, acc: 0.156250] 21580: [discriminator loss: 0.531099, acc: 0.726562] [adversarial loss: 1.188097, acc: 0.234375] 21581: [discriminator loss: 0.498455, acc: 0.773438] [adversarial loss: 0.795205, acc: 0.484375] 21582: [discriminator loss: 0.595315, acc: 0.695312] [adversarial loss: 1.992202, acc: 0.093750] 21583: [discriminator loss: 0.650880, acc: 0.648438] [adversarial loss: 0.885956, acc: 0.515625] 21584: [discriminator loss: 0.607243, acc: 0.671875] [adversarial loss: 1.497834, acc: 0.093750] 21585: [discriminator loss: 0.592153, acc: 0.679688] [adversarial loss: 0.984599, acc: 0.328125] 21586: [discriminator loss: 0.587816, acc: 0.703125] [adversarial loss: 1.201288, acc: 0.203125] 21587: [discriminator loss: 0.547823, acc: 0.734375] [adversarial loss: 0.938258, acc: 0.328125] 21588: [discriminator loss: 0.572904, acc: 0.710938] [adversarial loss: 1.242571, acc: 0.218750] 21589: [discriminator loss: 0.522433, acc: 0.742188] [adversarial loss: 1.463247, acc: 0.156250] 21590: [discriminator loss: 0.517126, acc: 0.710938] [adversarial loss: 1.131944, acc: 0.296875] 21591: [discriminator loss: 0.487772, acc: 0.757812] [adversarial loss: 1.581872, acc: 0.078125] 21592: [discriminator loss: 0.584448, acc: 0.687500] [adversarial loss: 0.842595, acc: 0.468750] 21593: [discriminator loss: 0.517985, acc: 0.742188] [adversarial loss: 1.436600, acc: 0.062500] 21594: [discriminator loss: 0.614472, acc: 0.679688] [adversarial loss: 0.620405, acc: 0.656250] 21595: [discriminator loss: 0.564491, acc: 0.703125] [adversarial loss: 1.414025, acc: 0.062500] 21596: [discriminator loss: 0.636269, acc: 0.632812] [adversarial loss: 0.763162, acc: 0.562500] 21597: [discriminator loss: 0.581485, acc: 0.671875] [adversarial loss: 1.464618, acc: 0.078125] 21598: [discriminator loss: 0.556894, acc: 0.710938] [adversarial loss: 0.958332, acc: 0.390625] 21599: [discriminator loss: 0.624880, acc: 0.640625] [adversarial loss: 1.511344, acc: 0.109375] 21600: [discriminator loss: 0.544655, acc: 0.703125] [adversarial loss: 1.183912, acc: 0.203125] 21601: [discriminator loss: 0.540508, acc: 0.695312] [adversarial loss: 1.141596, acc: 0.203125] 21602: [discriminator loss: 0.511988, acc: 0.765625] [adversarial loss: 1.113688, acc: 0.312500] 21603: [discriminator loss: 0.539314, acc: 0.765625] [adversarial loss: 1.452461, acc: 0.171875] 21604: [discriminator loss: 0.463901, acc: 0.789062] [adversarial loss: 1.009983, acc: 0.406250] 21605: [discriminator loss: 0.474853, acc: 0.765625] [adversarial loss: 1.180462, acc: 0.203125] 21606: [discriminator loss: 0.543688, acc: 0.757812] [adversarial loss: 1.259046, acc: 0.234375] 21607: [discriminator loss: 0.580527, acc: 0.679688] [adversarial loss: 1.164789, acc: 0.265625] 21608: [discriminator loss: 0.595988, acc: 0.664062] [adversarial loss: 1.668944, acc: 0.062500] 21609: [discriminator loss: 0.545656, acc: 0.703125] [adversarial loss: 0.907129, acc: 0.421875] 21610: [discriminator loss: 0.499359, acc: 0.757812] [adversarial loss: 1.749153, acc: 0.125000] 21611: [discriminator loss: 0.562988, acc: 0.695312] [adversarial loss: 0.984199, acc: 0.375000] 21612: [discriminator loss: 0.568344, acc: 0.757812] [adversarial loss: 1.189955, acc: 0.234375] 21613: [discriminator loss: 0.491575, acc: 0.750000] [adversarial loss: 1.077552, acc: 0.343750] 21614: [discriminator loss: 0.574392, acc: 0.718750] [adversarial loss: 1.366543, acc: 0.203125] 21615: [discriminator loss: 0.523870, acc: 0.710938] [adversarial loss: 1.301519, acc: 0.234375] 21616: [discriminator loss: 0.494645, acc: 0.726562] [adversarial loss: 0.892197, acc: 0.359375] 21617: [discriminator loss: 0.582393, acc: 0.710938] [adversarial loss: 1.701210, acc: 0.171875] 21618: [discriminator loss: 0.608540, acc: 0.632812] [adversarial loss: 0.803263, acc: 0.453125] 21619: [discriminator loss: 0.587886, acc: 0.687500] [adversarial loss: 1.205406, acc: 0.171875] 21620: [discriminator loss: 0.538958, acc: 0.726562] [adversarial loss: 1.032614, acc: 0.265625] 21621: [discriminator loss: 0.516168, acc: 0.726562] [adversarial loss: 1.327778, acc: 0.171875] 21622: [discriminator loss: 0.500942, acc: 0.796875] [adversarial loss: 1.137360, acc: 0.265625] 21623: [discriminator loss: 0.626369, acc: 0.648438] [adversarial loss: 1.126272, acc: 0.312500] 21624: [discriminator loss: 0.580518, acc: 0.695312] [adversarial loss: 1.259961, acc: 0.234375] 21625: [discriminator loss: 0.529447, acc: 0.671875] [adversarial loss: 1.088713, acc: 0.265625] 21626: [discriminator loss: 0.633943, acc: 0.632812] [adversarial loss: 1.455120, acc: 0.140625] 21627: [discriminator loss: 0.533568, acc: 0.734375] [adversarial loss: 0.706759, acc: 0.609375] 21628: [discriminator loss: 0.501111, acc: 0.750000] [adversarial loss: 1.202408, acc: 0.312500] 21629: [discriminator loss: 0.531719, acc: 0.703125] [adversarial loss: 0.748886, acc: 0.546875] 21630: [discriminator loss: 0.557068, acc: 0.757812] [adversarial loss: 1.604686, acc: 0.078125] 21631: [discriminator loss: 0.621142, acc: 0.632812] [adversarial loss: 0.861340, acc: 0.484375] 21632: [discriminator loss: 0.495045, acc: 0.703125] [adversarial loss: 1.495873, acc: 0.156250] 21633: [discriminator loss: 0.524149, acc: 0.757812] [adversarial loss: 1.149388, acc: 0.312500] 21634: [discriminator loss: 0.502941, acc: 0.765625] [adversarial loss: 1.443339, acc: 0.140625] 21635: [discriminator loss: 0.587728, acc: 0.695312] [adversarial loss: 1.024596, acc: 0.453125] 21636: [discriminator loss: 0.511878, acc: 0.734375] [adversarial loss: 1.075988, acc: 0.296875] 21637: [discriminator loss: 0.563968, acc: 0.703125] [adversarial loss: 1.291418, acc: 0.203125] 21638: [discriminator loss: 0.570399, acc: 0.648438] [adversarial loss: 0.944934, acc: 0.296875] 21639: [discriminator loss: 0.586360, acc: 0.710938] [adversarial loss: 1.251488, acc: 0.203125] 21640: [discriminator loss: 0.588547, acc: 0.687500] [adversarial loss: 0.984205, acc: 0.406250] 21641: [discriminator loss: 0.559455, acc: 0.742188] [adversarial loss: 1.241158, acc: 0.125000] 21642: [discriminator loss: 0.520296, acc: 0.695312] [adversarial loss: 1.029677, acc: 0.281250] 21643: [discriminator loss: 0.503052, acc: 0.710938] [adversarial loss: 1.275924, acc: 0.250000] 21644: [discriminator loss: 0.506950, acc: 0.742188] [adversarial loss: 1.055074, acc: 0.234375] 21645: [discriminator loss: 0.615711, acc: 0.664062] [adversarial loss: 1.407236, acc: 0.140625] 21646: [discriminator loss: 0.603219, acc: 0.679688] [adversarial loss: 0.879982, acc: 0.484375] 21647: [discriminator loss: 0.579023, acc: 0.671875] [adversarial loss: 1.951725, acc: 0.031250] 21648: [discriminator loss: 0.569467, acc: 0.656250] [adversarial loss: 0.788402, acc: 0.437500] 21649: [discriminator loss: 0.660934, acc: 0.695312] [adversarial loss: 1.355345, acc: 0.140625] 21650: [discriminator loss: 0.590687, acc: 0.609375] [adversarial loss: 1.092726, acc: 0.328125] 21651: [discriminator loss: 0.585307, acc: 0.695312] [adversarial loss: 1.573743, acc: 0.078125] 21652: [discriminator loss: 0.609241, acc: 0.656250] [adversarial loss: 0.766612, acc: 0.578125] 21653: [discriminator loss: 0.593245, acc: 0.671875] [adversarial loss: 1.630009, acc: 0.015625] 21654: [discriminator loss: 0.573649, acc: 0.687500] [adversarial loss: 1.053796, acc: 0.343750] 21655: [discriminator loss: 0.543528, acc: 0.757812] [adversarial loss: 1.138678, acc: 0.218750] 21656: [discriminator loss: 0.602214, acc: 0.664062] [adversarial loss: 1.068068, acc: 0.265625] 21657: [discriminator loss: 0.531742, acc: 0.750000] [adversarial loss: 1.382864, acc: 0.140625] 21658: [discriminator loss: 0.512363, acc: 0.804688] [adversarial loss: 1.443133, acc: 0.093750] 21659: [discriminator loss: 0.510830, acc: 0.765625] [adversarial loss: 0.883274, acc: 0.437500] 21660: [discriminator loss: 0.600301, acc: 0.617188] [adversarial loss: 1.478687, acc: 0.046875] 21661: [discriminator loss: 0.507744, acc: 0.750000] [adversarial loss: 0.842371, acc: 0.515625] 21662: [discriminator loss: 0.619925, acc: 0.625000] [adversarial loss: 1.499496, acc: 0.078125] 21663: [discriminator loss: 0.597757, acc: 0.703125] [adversarial loss: 0.906117, acc: 0.390625] 21664: [discriminator loss: 0.550136, acc: 0.718750] [adversarial loss: 1.360777, acc: 0.140625] 21665: [discriminator loss: 0.538579, acc: 0.695312] [adversarial loss: 1.130872, acc: 0.218750] 21666: [discriminator loss: 0.509859, acc: 0.757812] [adversarial loss: 1.326555, acc: 0.187500] 21667: [discriminator loss: 0.549114, acc: 0.664062] [adversarial loss: 0.632144, acc: 0.687500] 21668: [discriminator loss: 0.638805, acc: 0.609375] [adversarial loss: 1.464761, acc: 0.078125] 21669: [discriminator loss: 0.640671, acc: 0.640625] [adversarial loss: 0.891494, acc: 0.343750] 21670: [discriminator loss: 0.560885, acc: 0.710938] [adversarial loss: 1.222662, acc: 0.234375] 21671: [discriminator loss: 0.564434, acc: 0.679688] [adversarial loss: 0.985465, acc: 0.296875] 21672: [discriminator loss: 0.635446, acc: 0.617188] [adversarial loss: 1.319903, acc: 0.171875] 21673: [discriminator loss: 0.497257, acc: 0.804688] [adversarial loss: 0.898172, acc: 0.375000] 21674: [discriminator loss: 0.595124, acc: 0.648438] [adversarial loss: 1.299025, acc: 0.187500] 21675: [discriminator loss: 0.557759, acc: 0.734375] [adversarial loss: 1.261768, acc: 0.171875] 21676: [discriminator loss: 0.486468, acc: 0.742188] [adversarial loss: 1.128228, acc: 0.328125] 21677: [discriminator loss: 0.573757, acc: 0.664062] [adversarial loss: 1.244494, acc: 0.203125] 21678: [discriminator loss: 0.515329, acc: 0.750000] [adversarial loss: 1.335296, acc: 0.218750] 21679: [discriminator loss: 0.637850, acc: 0.679688] [adversarial loss: 1.311776, acc: 0.140625] 21680: [discriminator loss: 0.569574, acc: 0.695312] [adversarial loss: 1.335408, acc: 0.125000] 21681: [discriminator loss: 0.513522, acc: 0.718750] [adversarial loss: 1.072446, acc: 0.281250] 21682: [discriminator loss: 0.572218, acc: 0.671875] [adversarial loss: 1.133898, acc: 0.343750] 21683: [discriminator loss: 0.509162, acc: 0.710938] [adversarial loss: 1.160664, acc: 0.312500] 21684: [discriminator loss: 0.586817, acc: 0.664062] [adversarial loss: 1.092594, acc: 0.328125] 21685: [discriminator loss: 0.575126, acc: 0.679688] [adversarial loss: 1.196616, acc: 0.265625] 21686: [discriminator loss: 0.524792, acc: 0.765625] [adversarial loss: 0.815195, acc: 0.453125] 21687: [discriminator loss: 0.503665, acc: 0.742188] [adversarial loss: 1.192659, acc: 0.312500] 21688: [discriminator loss: 0.624199, acc: 0.671875] [adversarial loss: 0.975381, acc: 0.359375] 21689: [discriminator loss: 0.543114, acc: 0.718750] [adversarial loss: 1.171415, acc: 0.156250] 21690: [discriminator loss: 0.549706, acc: 0.726562] [adversarial loss: 0.870034, acc: 0.484375] 21691: [discriminator loss: 0.566685, acc: 0.687500] [adversarial loss: 1.307671, acc: 0.203125] 21692: [discriminator loss: 0.536606, acc: 0.734375] [adversarial loss: 1.082783, acc: 0.218750] 21693: [discriminator loss: 0.537324, acc: 0.726562] [adversarial loss: 1.417094, acc: 0.171875] 21694: [discriminator loss: 0.548917, acc: 0.695312] [adversarial loss: 0.913283, acc: 0.453125] 21695: [discriminator loss: 0.551193, acc: 0.726562] [adversarial loss: 1.511525, acc: 0.078125] 21696: [discriminator loss: 0.568746, acc: 0.718750] [adversarial loss: 0.821872, acc: 0.484375] 21697: [discriminator loss: 0.605104, acc: 0.710938] [adversarial loss: 1.576451, acc: 0.125000] 21698: [discriminator loss: 0.589471, acc: 0.687500] [adversarial loss: 0.884811, acc: 0.468750] 21699: [discriminator loss: 0.537621, acc: 0.734375] [adversarial loss: 1.391558, acc: 0.109375] 21700: [discriminator loss: 0.596424, acc: 0.695312] [adversarial loss: 0.664757, acc: 0.578125] 21701: [discriminator loss: 0.580267, acc: 0.695312] [adversarial loss: 1.603515, acc: 0.109375] 21702: [discriminator loss: 0.529562, acc: 0.718750] [adversarial loss: 0.947372, acc: 0.359375] 21703: [discriminator loss: 0.553764, acc: 0.710938] [adversarial loss: 1.500671, acc: 0.234375] 21704: [discriminator loss: 0.585417, acc: 0.695312] [adversarial loss: 0.888693, acc: 0.531250] 21705: [discriminator loss: 0.645406, acc: 0.671875] [adversarial loss: 1.396080, acc: 0.125000] 21706: [discriminator loss: 0.546185, acc: 0.726562] [adversarial loss: 1.146687, acc: 0.312500] 21707: [discriminator loss: 0.560717, acc: 0.687500] [adversarial loss: 1.088638, acc: 0.265625] 21708: [discriminator loss: 0.563852, acc: 0.671875] [adversarial loss: 1.266116, acc: 0.171875] 21709: [discriminator loss: 0.555261, acc: 0.726562] [adversarial loss: 1.335579, acc: 0.203125] 21710: [discriminator loss: 0.569303, acc: 0.695312] [adversarial loss: 0.950100, acc: 0.453125] 21711: [discriminator loss: 0.520264, acc: 0.710938] [adversarial loss: 1.459725, acc: 0.125000] 21712: [discriminator loss: 0.543172, acc: 0.710938] [adversarial loss: 0.995580, acc: 0.328125] 21713: [discriminator loss: 0.547055, acc: 0.703125] [adversarial loss: 1.315631, acc: 0.250000] 21714: [discriminator loss: 0.661973, acc: 0.632812] [adversarial loss: 1.203797, acc: 0.203125] 21715: [discriminator loss: 0.510483, acc: 0.726562] [adversarial loss: 1.231785, acc: 0.234375] 21716: [discriminator loss: 0.489305, acc: 0.757812] [adversarial loss: 1.166513, acc: 0.343750] 21717: [discriminator loss: 0.585131, acc: 0.703125] [adversarial loss: 1.157349, acc: 0.250000] 21718: [discriminator loss: 0.552493, acc: 0.710938] [adversarial loss: 1.550749, acc: 0.140625] 21719: [discriminator loss: 0.506016, acc: 0.757812] [adversarial loss: 0.930719, acc: 0.343750] 21720: [discriminator loss: 0.560648, acc: 0.750000] [adversarial loss: 1.315305, acc: 0.156250] 21721: [discriminator loss: 0.493300, acc: 0.750000] [adversarial loss: 1.092503, acc: 0.296875] 21722: [discriminator loss: 0.511738, acc: 0.750000] [adversarial loss: 1.409901, acc: 0.203125] 21723: [discriminator loss: 0.558163, acc: 0.710938] [adversarial loss: 0.903358, acc: 0.468750] 21724: [discriminator loss: 0.577380, acc: 0.703125] [adversarial loss: 1.326069, acc: 0.187500] 21725: [discriminator loss: 0.613441, acc: 0.687500] [adversarial loss: 0.850667, acc: 0.437500] 21726: [discriminator loss: 0.565102, acc: 0.687500] [adversarial loss: 1.515052, acc: 0.046875] 21727: [discriminator loss: 0.598743, acc: 0.656250] [adversarial loss: 0.874963, acc: 0.500000] 21728: [discriminator loss: 0.540033, acc: 0.726562] [adversarial loss: 1.395893, acc: 0.203125] 21729: [discriminator loss: 0.486209, acc: 0.750000] [adversarial loss: 1.361534, acc: 0.171875] 21730: [discriminator loss: 0.520182, acc: 0.734375] [adversarial loss: 0.965901, acc: 0.390625] 21731: [discriminator loss: 0.529276, acc: 0.710938] [adversarial loss: 1.368365, acc: 0.250000] 21732: [discriminator loss: 0.533835, acc: 0.718750] [adversarial loss: 0.938084, acc: 0.421875] 21733: [discriminator loss: 0.488535, acc: 0.750000] [adversarial loss: 1.361164, acc: 0.234375] 21734: [discriminator loss: 0.546997, acc: 0.718750] [adversarial loss: 1.120250, acc: 0.250000] 21735: [discriminator loss: 0.485967, acc: 0.796875] [adversarial loss: 1.391022, acc: 0.171875] 21736: [discriminator loss: 0.505305, acc: 0.757812] [adversarial loss: 1.053848, acc: 0.406250] 21737: [discriminator loss: 0.474677, acc: 0.804688] [adversarial loss: 1.383821, acc: 0.156250] 21738: [discriminator loss: 0.607583, acc: 0.679688] [adversarial loss: 1.201466, acc: 0.265625] 21739: [discriminator loss: 0.535890, acc: 0.765625] [adversarial loss: 1.128007, acc: 0.187500] 21740: [discriminator loss: 0.580392, acc: 0.687500] [adversarial loss: 1.146087, acc: 0.171875] 21741: [discriminator loss: 0.488085, acc: 0.796875] [adversarial loss: 1.191675, acc: 0.296875] 21742: [discriminator loss: 0.523955, acc: 0.726562] [adversarial loss: 1.216367, acc: 0.250000] 21743: [discriminator loss: 0.546785, acc: 0.742188] [adversarial loss: 0.954944, acc: 0.437500] 21744: [discriminator loss: 0.597781, acc: 0.679688] [adversarial loss: 1.262012, acc: 0.218750] 21745: [discriminator loss: 0.495093, acc: 0.796875] [adversarial loss: 1.095531, acc: 0.265625] 21746: [discriminator loss: 0.485379, acc: 0.750000] [adversarial loss: 1.331156, acc: 0.203125] 21747: [discriminator loss: 0.534440, acc: 0.734375] [adversarial loss: 0.808430, acc: 0.500000] 21748: [discriminator loss: 0.578587, acc: 0.703125] [adversarial loss: 1.743200, acc: 0.062500] 21749: [discriminator loss: 0.606267, acc: 0.648438] [adversarial loss: 0.770277, acc: 0.531250] 21750: [discriminator loss: 0.486588, acc: 0.710938] [adversarial loss: 1.706349, acc: 0.125000] 21751: [discriminator loss: 0.569773, acc: 0.734375] [adversarial loss: 1.162368, acc: 0.265625] 21752: [discriminator loss: 0.558384, acc: 0.734375] [adversarial loss: 1.162117, acc: 0.218750] 21753: [discriminator loss: 0.513017, acc: 0.750000] [adversarial loss: 1.483026, acc: 0.156250] 21754: [discriminator loss: 0.453964, acc: 0.742188] [adversarial loss: 1.171403, acc: 0.265625] 21755: [discriminator loss: 0.517980, acc: 0.734375] [adversarial loss: 1.582501, acc: 0.093750] 21756: [discriminator loss: 0.582412, acc: 0.648438] [adversarial loss: 0.899991, acc: 0.375000] 21757: [discriminator loss: 0.578625, acc: 0.703125] [adversarial loss: 1.353964, acc: 0.156250] 21758: [discriminator loss: 0.533928, acc: 0.656250] [adversarial loss: 1.110359, acc: 0.312500] 21759: [discriminator loss: 0.570016, acc: 0.726562] [adversarial loss: 1.443238, acc: 0.093750] 21760: [discriminator loss: 0.643502, acc: 0.687500] [adversarial loss: 0.887192, acc: 0.484375] 21761: [discriminator loss: 0.519420, acc: 0.789062] [adversarial loss: 1.161014, acc: 0.250000] 21762: [discriminator loss: 0.563742, acc: 0.718750] [adversarial loss: 1.108729, acc: 0.218750] 21763: [discriminator loss: 0.544662, acc: 0.679688] [adversarial loss: 1.591407, acc: 0.046875] 21764: [discriminator loss: 0.573800, acc: 0.726562] [adversarial loss: 0.975139, acc: 0.421875] 21765: [discriminator loss: 0.559778, acc: 0.703125] [adversarial loss: 1.593863, acc: 0.156250] 21766: [discriminator loss: 0.530440, acc: 0.703125] [adversarial loss: 1.111266, acc: 0.343750] 21767: [discriminator loss: 0.545123, acc: 0.687500] [adversarial loss: 1.351148, acc: 0.140625] 21768: [discriminator loss: 0.610778, acc: 0.609375] [adversarial loss: 0.865439, acc: 0.375000] 21769: [discriminator loss: 0.516078, acc: 0.710938] [adversarial loss: 1.277669, acc: 0.218750] 21770: [discriminator loss: 0.528097, acc: 0.765625] [adversarial loss: 1.178551, acc: 0.281250] 21771: [discriminator loss: 0.514928, acc: 0.757812] [adversarial loss: 1.223399, acc: 0.265625] 21772: [discriminator loss: 0.510072, acc: 0.695312] [adversarial loss: 1.088125, acc: 0.296875] 21773: [discriminator loss: 0.508416, acc: 0.710938] [adversarial loss: 0.914214, acc: 0.390625] 21774: [discriminator loss: 0.539188, acc: 0.726562] [adversarial loss: 1.027708, acc: 0.312500] 21775: [discriminator loss: 0.490754, acc: 0.742188] [adversarial loss: 1.115398, acc: 0.375000] 21776: [discriminator loss: 0.504654, acc: 0.718750] [adversarial loss: 1.399443, acc: 0.187500] 21777: [discriminator loss: 0.507276, acc: 0.750000] [adversarial loss: 1.080598, acc: 0.250000] 21778: [discriminator loss: 0.544932, acc: 0.718750] [adversarial loss: 1.484210, acc: 0.171875] 21779: [discriminator loss: 0.590375, acc: 0.648438] [adversarial loss: 0.737938, acc: 0.484375] 21780: [discriminator loss: 0.589967, acc: 0.695312] [adversarial loss: 1.550797, acc: 0.093750] 21781: [discriminator loss: 0.576055, acc: 0.734375] [adversarial loss: 1.007163, acc: 0.421875] 21782: [discriminator loss: 0.520611, acc: 0.765625] [adversarial loss: 1.328395, acc: 0.187500] 21783: [discriminator loss: 0.511300, acc: 0.734375] [adversarial loss: 1.286751, acc: 0.156250] 21784: [discriminator loss: 0.522875, acc: 0.710938] [adversarial loss: 1.105632, acc: 0.265625] 21785: [discriminator loss: 0.510151, acc: 0.773438] [adversarial loss: 1.358728, acc: 0.312500] 21786: [discriminator loss: 0.540610, acc: 0.703125] [adversarial loss: 1.376349, acc: 0.218750] 21787: [discriminator loss: 0.492720, acc: 0.750000] [adversarial loss: 0.988648, acc: 0.406250] 21788: [discriminator loss: 0.538040, acc: 0.726562] [adversarial loss: 1.728872, acc: 0.031250] 21789: [discriminator loss: 0.581214, acc: 0.710938] [adversarial loss: 0.704316, acc: 0.531250] 21790: [discriminator loss: 0.641135, acc: 0.625000] [adversarial loss: 1.650486, acc: 0.125000] 21791: [discriminator loss: 0.626043, acc: 0.617188] [adversarial loss: 0.780331, acc: 0.484375] 21792: [discriminator loss: 0.592949, acc: 0.640625] [adversarial loss: 1.482784, acc: 0.046875] 21793: [discriminator loss: 0.527190, acc: 0.703125] [adversarial loss: 1.036120, acc: 0.421875] 21794: [discriminator loss: 0.571581, acc: 0.726562] [adversarial loss: 1.439842, acc: 0.140625] 21795: [discriminator loss: 0.544294, acc: 0.757812] [adversarial loss: 0.897678, acc: 0.500000] 21796: [discriminator loss: 0.547296, acc: 0.734375] [adversarial loss: 1.171353, acc: 0.234375] 21797: [discriminator loss: 0.582249, acc: 0.664062] [adversarial loss: 0.982694, acc: 0.390625] 21798: [discriminator loss: 0.514431, acc: 0.765625] [adversarial loss: 1.268571, acc: 0.234375] 21799: [discriminator loss: 0.442692, acc: 0.773438] [adversarial loss: 1.218208, acc: 0.203125] 21800: [discriminator loss: 0.579641, acc: 0.718750] [adversarial loss: 1.027418, acc: 0.328125] 21801: [discriminator loss: 0.509866, acc: 0.781250] [adversarial loss: 1.282173, acc: 0.203125] 21802: [discriminator loss: 0.501171, acc: 0.765625] [adversarial loss: 1.039558, acc: 0.359375] 21803: [discriminator loss: 0.476077, acc: 0.757812] [adversarial loss: 1.579503, acc: 0.062500] 21804: [discriminator loss: 0.594219, acc: 0.695312] [adversarial loss: 0.808877, acc: 0.468750] 21805: [discriminator loss: 0.468236, acc: 0.757812] [adversarial loss: 1.612586, acc: 0.140625] 21806: [discriminator loss: 0.517348, acc: 0.726562] [adversarial loss: 0.862634, acc: 0.468750] 21807: [discriminator loss: 0.628798, acc: 0.695312] [adversarial loss: 1.290861, acc: 0.203125] 21808: [discriminator loss: 0.621899, acc: 0.687500] [adversarial loss: 0.786519, acc: 0.531250] 21809: [discriminator loss: 0.603541, acc: 0.656250] [adversarial loss: 1.529388, acc: 0.093750] 21810: [discriminator loss: 0.501353, acc: 0.757812] [adversarial loss: 0.859265, acc: 0.500000] 21811: [discriminator loss: 0.559626, acc: 0.687500] [adversarial loss: 1.366759, acc: 0.187500] 21812: [discriminator loss: 0.549268, acc: 0.656250] [adversarial loss: 1.042190, acc: 0.343750] 21813: [discriminator loss: 0.571497, acc: 0.695312] [adversarial loss: 1.581935, acc: 0.140625] 21814: [discriminator loss: 0.500246, acc: 0.750000] [adversarial loss: 0.856008, acc: 0.484375] 21815: [discriminator loss: 0.549152, acc: 0.750000] [adversarial loss: 1.202648, acc: 0.203125] 21816: [discriminator loss: 0.560360, acc: 0.695312] [adversarial loss: 0.954798, acc: 0.375000] 21817: [discriminator loss: 0.566277, acc: 0.656250] [adversarial loss: 1.210414, acc: 0.265625] 21818: [discriminator loss: 0.500627, acc: 0.734375] [adversarial loss: 0.964620, acc: 0.484375] 21819: [discriminator loss: 0.562607, acc: 0.687500] [adversarial loss: 1.286913, acc: 0.250000] 21820: [discriminator loss: 0.498564, acc: 0.703125] [adversarial loss: 1.100721, acc: 0.343750] 21821: [discriminator loss: 0.555347, acc: 0.734375] [adversarial loss: 1.010803, acc: 0.265625] 21822: [discriminator loss: 0.534755, acc: 0.742188] [adversarial loss: 0.927760, acc: 0.468750] 21823: [discriminator loss: 0.513479, acc: 0.750000] [adversarial loss: 1.321933, acc: 0.187500] 21824: [discriminator loss: 0.580414, acc: 0.671875] [adversarial loss: 0.932823, acc: 0.359375] 21825: [discriminator loss: 0.540664, acc: 0.757812] [adversarial loss: 1.048688, acc: 0.312500] 21826: [discriminator loss: 0.439940, acc: 0.789062] [adversarial loss: 1.076646, acc: 0.328125] 21827: [discriminator loss: 0.549058, acc: 0.679688] [adversarial loss: 1.160025, acc: 0.265625] 21828: [discriminator loss: 0.547826, acc: 0.718750] [adversarial loss: 1.452560, acc: 0.234375] 21829: [discriminator loss: 0.536258, acc: 0.710938] [adversarial loss: 1.059925, acc: 0.281250] 21830: [discriminator loss: 0.552846, acc: 0.687500] [adversarial loss: 1.095794, acc: 0.296875] 21831: [discriminator loss: 0.542619, acc: 0.750000] [adversarial loss: 1.171716, acc: 0.359375] 21832: [discriminator loss: 0.555610, acc: 0.695312] [adversarial loss: 1.010257, acc: 0.296875] 21833: [discriminator loss: 0.509854, acc: 0.710938] [adversarial loss: 1.389567, acc: 0.218750] 21834: [discriminator loss: 0.538267, acc: 0.687500] [adversarial loss: 0.932699, acc: 0.421875] 21835: [discriminator loss: 0.542457, acc: 0.750000] [adversarial loss: 1.402432, acc: 0.140625] 21836: [discriminator loss: 0.587276, acc: 0.640625] [adversarial loss: 1.051047, acc: 0.328125] 21837: [discriminator loss: 0.549894, acc: 0.703125] [adversarial loss: 1.395238, acc: 0.140625] 21838: [discriminator loss: 0.502053, acc: 0.710938] [adversarial loss: 1.058627, acc: 0.375000] 21839: [discriminator loss: 0.533671, acc: 0.687500] [adversarial loss: 1.592683, acc: 0.171875] 21840: [discriminator loss: 0.523947, acc: 0.703125] [adversarial loss: 0.664597, acc: 0.531250] 21841: [discriminator loss: 0.490659, acc: 0.750000] [adversarial loss: 1.503306, acc: 0.109375] 21842: [discriminator loss: 0.552040, acc: 0.718750] [adversarial loss: 0.767330, acc: 0.562500] 21843: [discriminator loss: 0.507988, acc: 0.773438] [adversarial loss: 1.619936, acc: 0.093750] 21844: [discriminator loss: 0.576426, acc: 0.750000] [adversarial loss: 1.146213, acc: 0.296875] 21845: [discriminator loss: 0.469612, acc: 0.804688] [adversarial loss: 1.589576, acc: 0.046875] 21846: [discriminator loss: 0.530799, acc: 0.726562] [adversarial loss: 1.048688, acc: 0.296875] 21847: [discriminator loss: 0.570485, acc: 0.695312] [adversarial loss: 1.728331, acc: 0.109375] 21848: [discriminator loss: 0.583535, acc: 0.671875] [adversarial loss: 1.001207, acc: 0.500000] 21849: [discriminator loss: 0.611668, acc: 0.664062] [adversarial loss: 1.490417, acc: 0.109375] 21850: [discriminator loss: 0.624736, acc: 0.656250] [adversarial loss: 0.702375, acc: 0.593750] 21851: [discriminator loss: 0.531601, acc: 0.742188] [adversarial loss: 1.513728, acc: 0.125000] 21852: [discriminator loss: 0.566251, acc: 0.679688] [adversarial loss: 0.798999, acc: 0.468750] 21853: [discriminator loss: 0.460470, acc: 0.789062] [adversarial loss: 1.183489, acc: 0.265625] 21854: [discriminator loss: 0.535594, acc: 0.757812] [adversarial loss: 0.876101, acc: 0.437500] 21855: [discriminator loss: 0.447665, acc: 0.757812] [adversarial loss: 1.315073, acc: 0.281250] 21856: [discriminator loss: 0.579211, acc: 0.664062] [adversarial loss: 0.666003, acc: 0.640625] 21857: [discriminator loss: 0.581268, acc: 0.703125] [adversarial loss: 1.388950, acc: 0.234375] 21858: [discriminator loss: 0.557671, acc: 0.664062] [adversarial loss: 0.932892, acc: 0.375000] 21859: [discriminator loss: 0.470222, acc: 0.773438] [adversarial loss: 0.825628, acc: 0.484375] 21860: [discriminator loss: 0.558050, acc: 0.640625] [adversarial loss: 1.308332, acc: 0.234375] 21861: [discriminator loss: 0.471088, acc: 0.796875] [adversarial loss: 0.891014, acc: 0.515625] 21862: [discriminator loss: 0.585172, acc: 0.687500] [adversarial loss: 1.246619, acc: 0.140625] 21863: [discriminator loss: 0.525438, acc: 0.718750] [adversarial loss: 1.205885, acc: 0.218750] 21864: [discriminator loss: 0.557380, acc: 0.718750] [adversarial loss: 1.352588, acc: 0.187500] 21865: [discriminator loss: 0.467641, acc: 0.781250] [adversarial loss: 1.139678, acc: 0.343750] 21866: [discriminator loss: 0.499720, acc: 0.789062] [adversarial loss: 1.076761, acc: 0.390625] 21867: [discriminator loss: 0.549550, acc: 0.734375] [adversarial loss: 1.263169, acc: 0.234375] 21868: [discriminator loss: 0.535181, acc: 0.695312] [adversarial loss: 1.099260, acc: 0.421875] 21869: [discriminator loss: 0.531993, acc: 0.695312] [adversarial loss: 1.601881, acc: 0.093750] 21870: [discriminator loss: 0.513761, acc: 0.710938] [adversarial loss: 1.183126, acc: 0.218750] 21871: [discriminator loss: 0.526525, acc: 0.687500] [adversarial loss: 1.254117, acc: 0.218750] 21872: [discriminator loss: 0.513159, acc: 0.726562] [adversarial loss: 1.134201, acc: 0.281250] 21873: [discriminator loss: 0.542650, acc: 0.703125] [adversarial loss: 0.801563, acc: 0.453125] 21874: [discriminator loss: 0.543015, acc: 0.742188] [adversarial loss: 1.208561, acc: 0.187500] 21875: [discriminator loss: 0.451610, acc: 0.781250] [adversarial loss: 1.368505, acc: 0.156250] 21876: [discriminator loss: 0.509354, acc: 0.742188] [adversarial loss: 0.807612, acc: 0.468750] 21877: [discriminator loss: 0.548732, acc: 0.734375] [adversarial loss: 1.161649, acc: 0.312500] 21878: [discriminator loss: 0.463889, acc: 0.781250] [adversarial loss: 1.001331, acc: 0.406250] 21879: [discriminator loss: 0.533429, acc: 0.734375] [adversarial loss: 1.692790, acc: 0.093750] 21880: [discriminator loss: 0.602540, acc: 0.679688] [adversarial loss: 0.946994, acc: 0.406250] 21881: [discriminator loss: 0.468441, acc: 0.773438] [adversarial loss: 2.164372, acc: 0.031250] 21882: [discriminator loss: 0.594152, acc: 0.710938] [adversarial loss: 1.055951, acc: 0.343750] 21883: [discriminator loss: 0.542151, acc: 0.757812] [adversarial loss: 1.858803, acc: 0.046875] 21884: [discriminator loss: 0.543424, acc: 0.710938] [adversarial loss: 1.170638, acc: 0.296875] 21885: [discriminator loss: 0.495576, acc: 0.804688] [adversarial loss: 1.458418, acc: 0.234375] 21886: [discriminator loss: 0.561736, acc: 0.695312] [adversarial loss: 0.955296, acc: 0.468750] 21887: [discriminator loss: 0.623989, acc: 0.687500] [adversarial loss: 1.934952, acc: 0.078125] 21888: [discriminator loss: 0.681712, acc: 0.656250] [adversarial loss: 0.968768, acc: 0.421875] 21889: [discriminator loss: 0.579856, acc: 0.687500] [adversarial loss: 1.344103, acc: 0.203125] 21890: [discriminator loss: 0.534517, acc: 0.703125] [adversarial loss: 1.170191, acc: 0.328125] 21891: [discriminator loss: 0.531222, acc: 0.726562] [adversarial loss: 1.326466, acc: 0.140625] 21892: [discriminator loss: 0.550046, acc: 0.703125] [adversarial loss: 1.065975, acc: 0.390625] 21893: [discriminator loss: 0.540815, acc: 0.695312] [adversarial loss: 1.395151, acc: 0.203125] 21894: [discriminator loss: 0.521812, acc: 0.765625] [adversarial loss: 1.172802, acc: 0.281250] 21895: [discriminator loss: 0.511518, acc: 0.734375] [adversarial loss: 1.239763, acc: 0.250000] 21896: [discriminator loss: 0.510300, acc: 0.742188] [adversarial loss: 0.869772, acc: 0.500000] 21897: [discriminator loss: 0.485106, acc: 0.804688] [adversarial loss: 1.175978, acc: 0.265625] 21898: [discriminator loss: 0.525445, acc: 0.734375] [adversarial loss: 1.338729, acc: 0.156250] 21899: [discriminator loss: 0.491062, acc: 0.726562] [adversarial loss: 1.317377, acc: 0.140625] 21900: [discriminator loss: 0.496103, acc: 0.765625] [adversarial loss: 1.052801, acc: 0.421875] 21901: [discriminator loss: 0.548513, acc: 0.710938] [adversarial loss: 1.352182, acc: 0.250000] 21902: [discriminator loss: 0.578073, acc: 0.671875] [adversarial loss: 0.845076, acc: 0.500000] 21903: [discriminator loss: 0.552429, acc: 0.695312] [adversarial loss: 1.586750, acc: 0.109375] 21904: [discriminator loss: 0.597551, acc: 0.687500] [adversarial loss: 0.900229, acc: 0.453125] 21905: [discriminator loss: 0.578947, acc: 0.695312] [adversarial loss: 1.763059, acc: 0.109375] 21906: [discriminator loss: 0.552530, acc: 0.695312] [adversarial loss: 0.984895, acc: 0.375000] 21907: [discriminator loss: 0.530349, acc: 0.750000] [adversarial loss: 1.350311, acc: 0.265625] 21908: [discriminator loss: 0.554303, acc: 0.687500] [adversarial loss: 0.936761, acc: 0.437500] 21909: [discriminator loss: 0.588890, acc: 0.703125] [adversarial loss: 1.451951, acc: 0.078125] 21910: [discriminator loss: 0.537814, acc: 0.734375] [adversarial loss: 0.811730, acc: 0.437500] 21911: [discriminator loss: 0.575848, acc: 0.703125] [adversarial loss: 1.575335, acc: 0.140625] 21912: [discriminator loss: 0.543279, acc: 0.710938] [adversarial loss: 1.102556, acc: 0.296875] 21913: [discriminator loss: 0.586507, acc: 0.687500] [adversarial loss: 1.264141, acc: 0.156250] 21914: [discriminator loss: 0.585981, acc: 0.671875] [adversarial loss: 0.944434, acc: 0.390625] 21915: [discriminator loss: 0.572767, acc: 0.695312] [adversarial loss: 1.314569, acc: 0.203125] 21916: [discriminator loss: 0.538345, acc: 0.750000] [adversarial loss: 1.101701, acc: 0.250000] 21917: [discriminator loss: 0.574699, acc: 0.656250] [adversarial loss: 0.933314, acc: 0.453125] 21918: [discriminator loss: 0.501134, acc: 0.757812] [adversarial loss: 1.437866, acc: 0.171875] 21919: [discriminator loss: 0.509109, acc: 0.718750] [adversarial loss: 1.014531, acc: 0.296875] 21920: [discriminator loss: 0.548851, acc: 0.710938] [adversarial loss: 1.421702, acc: 0.140625] 21921: [discriminator loss: 0.569699, acc: 0.687500] [adversarial loss: 0.675218, acc: 0.515625] 21922: [discriminator loss: 0.609942, acc: 0.679688] [adversarial loss: 1.518643, acc: 0.171875] 21923: [discriminator loss: 0.642033, acc: 0.648438] [adversarial loss: 0.821503, acc: 0.468750] 21924: [discriminator loss: 0.530132, acc: 0.734375] [adversarial loss: 1.483634, acc: 0.187500] 21925: [discriminator loss: 0.572916, acc: 0.656250] [adversarial loss: 1.113413, acc: 0.390625] 21926: [discriminator loss: 0.504164, acc: 0.718750] [adversarial loss: 1.378097, acc: 0.156250] 21927: [discriminator loss: 0.583218, acc: 0.718750] [adversarial loss: 0.832610, acc: 0.421875] 21928: [discriminator loss: 0.591627, acc: 0.703125] [adversarial loss: 1.585487, acc: 0.125000] 21929: [discriminator loss: 0.614083, acc: 0.671875] [adversarial loss: 0.852492, acc: 0.562500] 21930: [discriminator loss: 0.575397, acc: 0.703125] [adversarial loss: 1.404391, acc: 0.156250] 21931: [discriminator loss: 0.537077, acc: 0.703125] [adversarial loss: 0.830642, acc: 0.531250] 21932: [discriminator loss: 0.575515, acc: 0.671875] [adversarial loss: 1.776994, acc: 0.156250] 21933: [discriminator loss: 0.561267, acc: 0.718750] [adversarial loss: 0.976408, acc: 0.328125] 21934: [discriminator loss: 0.531908, acc: 0.718750] [adversarial loss: 1.518074, acc: 0.187500] 21935: [discriminator loss: 0.496118, acc: 0.765625] [adversarial loss: 0.998477, acc: 0.250000] 21936: [discriminator loss: 0.595083, acc: 0.687500] [adversarial loss: 1.372359, acc: 0.187500] 21937: [discriminator loss: 0.496074, acc: 0.695312] [adversarial loss: 1.046905, acc: 0.375000] 21938: [discriminator loss: 0.570470, acc: 0.687500] [adversarial loss: 1.253859, acc: 0.250000] 21939: [discriminator loss: 0.551628, acc: 0.695312] [adversarial loss: 1.114292, acc: 0.343750] 21940: [discriminator loss: 0.487685, acc: 0.773438] [adversarial loss: 1.265865, acc: 0.203125] 21941: [discriminator loss: 0.548936, acc: 0.687500] [adversarial loss: 1.227013, acc: 0.218750] 21942: [discriminator loss: 0.570128, acc: 0.695312] [adversarial loss: 1.232152, acc: 0.312500] 21943: [discriminator loss: 0.549672, acc: 0.679688] [adversarial loss: 1.132759, acc: 0.281250] 21944: [discriminator loss: 0.494489, acc: 0.757812] [adversarial loss: 1.318800, acc: 0.218750] 21945: [discriminator loss: 0.485167, acc: 0.812500] [adversarial loss: 0.896992, acc: 0.453125] 21946: [discriminator loss: 0.548087, acc: 0.710938] [adversarial loss: 1.538944, acc: 0.218750] 21947: [discriminator loss: 0.554135, acc: 0.679688] [adversarial loss: 1.229621, acc: 0.343750] 21948: [discriminator loss: 0.514960, acc: 0.718750] [adversarial loss: 1.195898, acc: 0.234375] 21949: [discriminator loss: 0.543149, acc: 0.718750] [adversarial loss: 1.227695, acc: 0.218750] 21950: [discriminator loss: 0.540226, acc: 0.703125] [adversarial loss: 1.004033, acc: 0.359375] 21951: [discriminator loss: 0.527988, acc: 0.757812] [adversarial loss: 1.347346, acc: 0.203125] 21952: [discriminator loss: 0.532996, acc: 0.703125] [adversarial loss: 0.994680, acc: 0.359375] 21953: [discriminator loss: 0.450175, acc: 0.781250] [adversarial loss: 1.525828, acc: 0.078125] 21954: [discriminator loss: 0.564506, acc: 0.679688] [adversarial loss: 0.794126, acc: 0.484375] 21955: [discriminator loss: 0.557047, acc: 0.703125] [adversarial loss: 1.800347, acc: 0.140625] 21956: [discriminator loss: 0.649778, acc: 0.632812] [adversarial loss: 0.864364, acc: 0.484375] 21957: [discriminator loss: 0.583962, acc: 0.671875] [adversarial loss: 1.745266, acc: 0.140625] 21958: [discriminator loss: 0.560043, acc: 0.671875] [adversarial loss: 1.012078, acc: 0.390625] 21959: [discriminator loss: 0.610785, acc: 0.664062] [adversarial loss: 1.111645, acc: 0.218750] 21960: [discriminator loss: 0.518891, acc: 0.757812] [adversarial loss: 1.079968, acc: 0.312500] 21961: [discriminator loss: 0.482368, acc: 0.804688] [adversarial loss: 1.072740, acc: 0.343750] 21962: [discriminator loss: 0.553269, acc: 0.695312] [adversarial loss: 1.360998, acc: 0.187500] 21963: [discriminator loss: 0.483978, acc: 0.750000] [adversarial loss: 1.164221, acc: 0.296875] 21964: [discriminator loss: 0.548278, acc: 0.695312] [adversarial loss: 1.210551, acc: 0.203125] 21965: [discriminator loss: 0.547057, acc: 0.718750] [adversarial loss: 1.048745, acc: 0.328125] 21966: [discriminator loss: 0.612766, acc: 0.656250] [adversarial loss: 1.365575, acc: 0.187500] 21967: [discriminator loss: 0.566261, acc: 0.679688] [adversarial loss: 0.954431, acc: 0.468750] 21968: [discriminator loss: 0.548125, acc: 0.734375] [adversarial loss: 1.177577, acc: 0.250000] 21969: [discriminator loss: 0.530368, acc: 0.710938] [adversarial loss: 1.206739, acc: 0.312500] 21970: [discriminator loss: 0.545751, acc: 0.687500] [adversarial loss: 1.297822, acc: 0.218750] 21971: [discriminator loss: 0.557075, acc: 0.679688] [adversarial loss: 0.770248, acc: 0.546875] 21972: [discriminator loss: 0.547566, acc: 0.710938] [adversarial loss: 1.334607, acc: 0.234375] 21973: [discriminator loss: 0.521662, acc: 0.695312] [adversarial loss: 1.144874, acc: 0.265625] 21974: [discriminator loss: 0.490723, acc: 0.796875] [adversarial loss: 1.267170, acc: 0.328125] 21975: [discriminator loss: 0.577635, acc: 0.703125] [adversarial loss: 1.297022, acc: 0.265625] 21976: [discriminator loss: 0.605631, acc: 0.664062] [adversarial loss: 0.830093, acc: 0.484375] 21977: [discriminator loss: 0.575691, acc: 0.648438] [adversarial loss: 1.678325, acc: 0.078125] 21978: [discriminator loss: 0.601425, acc: 0.656250] [adversarial loss: 0.777820, acc: 0.578125] 21979: [discriminator loss: 0.577583, acc: 0.703125] [adversarial loss: 1.666376, acc: 0.125000] 21980: [discriminator loss: 0.603821, acc: 0.679688] [adversarial loss: 0.944314, acc: 0.406250] 21981: [discriminator loss: 0.585348, acc: 0.671875] [adversarial loss: 1.336492, acc: 0.187500] 21982: [discriminator loss: 0.575326, acc: 0.695312] [adversarial loss: 1.311604, acc: 0.156250] 21983: [discriminator loss: 0.460926, acc: 0.789062] [adversarial loss: 1.292062, acc: 0.250000] 21984: [discriminator loss: 0.580266, acc: 0.703125] [adversarial loss: 0.971415, acc: 0.375000] 21985: [discriminator loss: 0.512339, acc: 0.718750] [adversarial loss: 1.552660, acc: 0.125000] 21986: [discriminator loss: 0.581551, acc: 0.632812] [adversarial loss: 0.863729, acc: 0.453125] 21987: [discriminator loss: 0.564178, acc: 0.671875] [adversarial loss: 1.596893, acc: 0.156250] 21988: [discriminator loss: 0.525417, acc: 0.718750] [adversarial loss: 0.887094, acc: 0.484375] 21989: [discriminator loss: 0.513089, acc: 0.750000] [adversarial loss: 1.402857, acc: 0.187500] 21990: [discriminator loss: 0.546704, acc: 0.726562] [adversarial loss: 1.246609, acc: 0.140625] 21991: [discriminator loss: 0.489940, acc: 0.765625] [adversarial loss: 1.188464, acc: 0.250000] 21992: [discriminator loss: 0.559597, acc: 0.664062] [adversarial loss: 0.876570, acc: 0.390625] 21993: [discriminator loss: 0.530995, acc: 0.718750] [adversarial loss: 1.250886, acc: 0.203125] 21994: [discriminator loss: 0.533420, acc: 0.664062] [adversarial loss: 0.956440, acc: 0.359375] 21995: [discriminator loss: 0.578447, acc: 0.679688] [adversarial loss: 1.319478, acc: 0.203125] 21996: [discriminator loss: 0.575630, acc: 0.648438] [adversarial loss: 0.998040, acc: 0.343750] 21997: [discriminator loss: 0.554808, acc: 0.687500] [adversarial loss: 1.420239, acc: 0.125000] 21998: [discriminator loss: 0.520067, acc: 0.734375] [adversarial loss: 1.128530, acc: 0.281250] 21999: [discriminator loss: 0.588298, acc: 0.718750] [adversarial loss: 1.467426, acc: 0.078125] 22000: [discriminator loss: 0.524118, acc: 0.734375] [adversarial loss: 0.856738, acc: 0.453125] 22001: [discriminator loss: 0.584682, acc: 0.648438] [adversarial loss: 1.360136, acc: 0.218750] 22002: [discriminator loss: 0.561649, acc: 0.687500] [adversarial loss: 0.961200, acc: 0.437500] 22003: [discriminator loss: 0.508241, acc: 0.742188] [adversarial loss: 1.429583, acc: 0.140625] 22004: [discriminator loss: 0.597130, acc: 0.640625] [adversarial loss: 1.183403, acc: 0.250000] 22005: [discriminator loss: 0.509901, acc: 0.742188] [adversarial loss: 1.159114, acc: 0.281250] 22006: [discriminator loss: 0.551830, acc: 0.687500] [adversarial loss: 1.236425, acc: 0.234375] 22007: [discriminator loss: 0.570978, acc: 0.679688] [adversarial loss: 0.955545, acc: 0.375000] 22008: [discriminator loss: 0.515854, acc: 0.742188] [adversarial loss: 1.792461, acc: 0.093750] 22009: [discriminator loss: 0.559060, acc: 0.710938] [adversarial loss: 0.706739, acc: 0.578125] 22010: [discriminator loss: 0.618323, acc: 0.617188] [adversarial loss: 1.564289, acc: 0.125000] 22011: [discriminator loss: 0.622968, acc: 0.656250] [adversarial loss: 0.665145, acc: 0.703125] 22012: [discriminator loss: 0.536151, acc: 0.750000] [adversarial loss: 1.332615, acc: 0.187500] 22013: [discriminator loss: 0.593335, acc: 0.671875] [adversarial loss: 0.916997, acc: 0.359375] 22014: [discriminator loss: 0.399240, acc: 0.835938] [adversarial loss: 1.309823, acc: 0.218750] 22015: [discriminator loss: 0.559093, acc: 0.718750] [adversarial loss: 0.815374, acc: 0.531250] 22016: [discriminator loss: 0.523396, acc: 0.757812] [adversarial loss: 1.329539, acc: 0.203125] 22017: [discriminator loss: 0.536065, acc: 0.765625] [adversarial loss: 0.954037, acc: 0.406250] 22018: [discriminator loss: 0.609192, acc: 0.640625] [adversarial loss: 1.326167, acc: 0.156250] 22019: [discriminator loss: 0.521400, acc: 0.750000] [adversarial loss: 0.971012, acc: 0.343750] 22020: [discriminator loss: 0.602200, acc: 0.648438] [adversarial loss: 1.437319, acc: 0.171875] 22021: [discriminator loss: 0.524832, acc: 0.734375] [adversarial loss: 0.836754, acc: 0.359375] 22022: [discriminator loss: 0.501106, acc: 0.750000] [adversarial loss: 1.179425, acc: 0.312500] 22023: [discriminator loss: 0.563503, acc: 0.687500] [adversarial loss: 1.183774, acc: 0.250000] 22024: [discriminator loss: 0.634834, acc: 0.656250] [adversarial loss: 1.201978, acc: 0.234375] 22025: [discriminator loss: 0.574749, acc: 0.695312] [adversarial loss: 1.240078, acc: 0.171875] 22026: [discriminator loss: 0.503024, acc: 0.765625] [adversarial loss: 1.087263, acc: 0.328125] 22027: [discriminator loss: 0.523183, acc: 0.710938] [adversarial loss: 1.144978, acc: 0.312500] 22028: [discriminator loss: 0.618426, acc: 0.671875] [adversarial loss: 0.976808, acc: 0.406250] 22029: [discriminator loss: 0.517069, acc: 0.734375] [adversarial loss: 1.581564, acc: 0.125000] 22030: [discriminator loss: 0.597560, acc: 0.671875] [adversarial loss: 0.924364, acc: 0.359375] 22031: [discriminator loss: 0.563825, acc: 0.718750] [adversarial loss: 1.625621, acc: 0.093750] 22032: [discriminator loss: 0.551899, acc: 0.703125] [adversarial loss: 0.852279, acc: 0.484375] 22033: [discriminator loss: 0.509420, acc: 0.726562] [adversarial loss: 1.283490, acc: 0.187500] 22034: [discriminator loss: 0.534303, acc: 0.734375] [adversarial loss: 1.068942, acc: 0.421875] 22035: [discriminator loss: 0.534040, acc: 0.734375] [adversarial loss: 1.444527, acc: 0.062500] 22036: [discriminator loss: 0.547692, acc: 0.703125] [adversarial loss: 0.856072, acc: 0.453125] 22037: [discriminator loss: 0.551686, acc: 0.671875] [adversarial loss: 1.400195, acc: 0.218750] 22038: [discriminator loss: 0.519116, acc: 0.703125] [adversarial loss: 1.249465, acc: 0.281250] 22039: [discriminator loss: 0.602539, acc: 0.664062] [adversarial loss: 1.033255, acc: 0.296875] 22040: [discriminator loss: 0.473283, acc: 0.796875] [adversarial loss: 1.190366, acc: 0.250000] 22041: [discriminator loss: 0.481307, acc: 0.750000] [adversarial loss: 1.276084, acc: 0.171875] 22042: [discriminator loss: 0.485525, acc: 0.765625] [adversarial loss: 0.922511, acc: 0.421875] 22043: [discriminator loss: 0.538730, acc: 0.726562] [adversarial loss: 1.396822, acc: 0.125000] 22044: [discriminator loss: 0.539269, acc: 0.687500] [adversarial loss: 0.950135, acc: 0.375000] 22045: [discriminator loss: 0.655714, acc: 0.601562] [adversarial loss: 1.503051, acc: 0.171875] 22046: [discriminator loss: 0.534477, acc: 0.734375] [adversarial loss: 0.793174, acc: 0.515625] 22047: [discriminator loss: 0.556574, acc: 0.742188] [adversarial loss: 1.435958, acc: 0.140625] 22048: [discriminator loss: 0.606763, acc: 0.687500] [adversarial loss: 0.983497, acc: 0.328125] 22049: [discriminator loss: 0.569146, acc: 0.703125] [adversarial loss: 1.405095, acc: 0.187500] 22050: [discriminator loss: 0.543521, acc: 0.710938] [adversarial loss: 0.862695, acc: 0.453125] 22051: [discriminator loss: 0.500842, acc: 0.750000] [adversarial loss: 1.257882, acc: 0.296875] 22052: [discriminator loss: 0.540063, acc: 0.703125] [adversarial loss: 1.246336, acc: 0.234375] 22053: [discriminator loss: 0.498676, acc: 0.765625] [adversarial loss: 1.260987, acc: 0.203125] 22054: [discriminator loss: 0.560214, acc: 0.718750] [adversarial loss: 1.031322, acc: 0.312500] 22055: [discriminator loss: 0.567517, acc: 0.742188] [adversarial loss: 1.333182, acc: 0.125000] 22056: [discriminator loss: 0.526184, acc: 0.726562] [adversarial loss: 0.947261, acc: 0.343750] 22057: [discriminator loss: 0.583842, acc: 0.671875] [adversarial loss: 1.389458, acc: 0.187500] 22058: [discriminator loss: 0.508489, acc: 0.726562] [adversarial loss: 0.831355, acc: 0.562500] 22059: [discriminator loss: 0.513458, acc: 0.742188] [adversarial loss: 1.508295, acc: 0.078125] 22060: [discriminator loss: 0.507967, acc: 0.773438] [adversarial loss: 1.124434, acc: 0.328125] 22061: [discriminator loss: 0.618571, acc: 0.625000] [adversarial loss: 1.293786, acc: 0.187500] 22062: [discriminator loss: 0.567781, acc: 0.718750] [adversarial loss: 1.121802, acc: 0.312500] 22063: [discriminator loss: 0.484878, acc: 0.781250] [adversarial loss: 1.206832, acc: 0.265625] 22064: [discriminator loss: 0.486664, acc: 0.765625] [adversarial loss: 1.049680, acc: 0.421875] 22065: [discriminator loss: 0.524840, acc: 0.718750] [adversarial loss: 1.355522, acc: 0.187500] 22066: [discriminator loss: 0.527621, acc: 0.703125] [adversarial loss: 1.150866, acc: 0.296875] 22067: [discriminator loss: 0.554648, acc: 0.718750] [adversarial loss: 1.039365, acc: 0.281250] 22068: [discriminator loss: 0.514303, acc: 0.742188] [adversarial loss: 0.979374, acc: 0.343750] 22069: [discriminator loss: 0.499239, acc: 0.750000] [adversarial loss: 1.476513, acc: 0.187500] 22070: [discriminator loss: 0.511130, acc: 0.710938] [adversarial loss: 0.905469, acc: 0.468750] 22071: [discriminator loss: 0.531245, acc: 0.734375] [adversarial loss: 1.741096, acc: 0.109375] 22072: [discriminator loss: 0.559891, acc: 0.687500] [adversarial loss: 0.866870, acc: 0.546875] 22073: [discriminator loss: 0.593313, acc: 0.750000] [adversarial loss: 1.555669, acc: 0.156250] 22074: [discriminator loss: 0.567866, acc: 0.640625] [adversarial loss: 0.911834, acc: 0.437500] 22075: [discriminator loss: 0.587097, acc: 0.687500] [adversarial loss: 1.642918, acc: 0.046875] 22076: [discriminator loss: 0.560238, acc: 0.687500] [adversarial loss: 0.962810, acc: 0.343750] 22077: [discriminator loss: 0.596369, acc: 0.671875] [adversarial loss: 1.371060, acc: 0.125000] 22078: [discriminator loss: 0.610164, acc: 0.632812] [adversarial loss: 0.904658, acc: 0.406250] 22079: [discriminator loss: 0.530667, acc: 0.718750] [adversarial loss: 1.591242, acc: 0.140625] 22080: [discriminator loss: 0.632826, acc: 0.656250] [adversarial loss: 0.840324, acc: 0.484375] 22081: [discriminator loss: 0.524897, acc: 0.718750] [adversarial loss: 1.362744, acc: 0.125000] 22082: [discriminator loss: 0.499027, acc: 0.765625] [adversarial loss: 1.197625, acc: 0.312500] 22083: [discriminator loss: 0.558666, acc: 0.726562] [adversarial loss: 1.468023, acc: 0.187500] 22084: [discriminator loss: 0.577703, acc: 0.703125] [adversarial loss: 0.864135, acc: 0.390625] 22085: [discriminator loss: 0.524007, acc: 0.765625] [adversarial loss: 1.345935, acc: 0.125000] 22086: [discriminator loss: 0.535000, acc: 0.726562] [adversarial loss: 1.072636, acc: 0.296875] 22087: [discriminator loss: 0.551808, acc: 0.695312] [adversarial loss: 1.204858, acc: 0.328125] 22088: [discriminator loss: 0.559640, acc: 0.687500] [adversarial loss: 1.203245, acc: 0.296875] 22089: [discriminator loss: 0.605368, acc: 0.632812] [adversarial loss: 1.300076, acc: 0.234375] 22090: [discriminator loss: 0.463719, acc: 0.796875] [adversarial loss: 0.851199, acc: 0.500000] 22091: [discriminator loss: 0.585872, acc: 0.656250] [adversarial loss: 1.574490, acc: 0.093750] 22092: [discriminator loss: 0.524880, acc: 0.734375] [adversarial loss: 1.013516, acc: 0.375000] 22093: [discriminator loss: 0.555370, acc: 0.679688] [adversarial loss: 1.456357, acc: 0.125000] 22094: [discriminator loss: 0.538289, acc: 0.726562] [adversarial loss: 1.056854, acc: 0.359375] 22095: [discriminator loss: 0.495240, acc: 0.820312] [adversarial loss: 1.449867, acc: 0.140625] 22096: [discriminator loss: 0.570787, acc: 0.656250] [adversarial loss: 0.763940, acc: 0.531250] 22097: [discriminator loss: 0.492187, acc: 0.718750] [adversarial loss: 1.499277, acc: 0.125000] 22098: [discriminator loss: 0.576722, acc: 0.703125] [adversarial loss: 1.080347, acc: 0.250000] 22099: [discriminator loss: 0.466420, acc: 0.742188] [adversarial loss: 1.370740, acc: 0.187500] 22100: [discriminator loss: 0.516052, acc: 0.757812] [adversarial loss: 0.969057, acc: 0.281250] 22101: [discriminator loss: 0.503481, acc: 0.757812] [adversarial loss: 1.112629, acc: 0.250000] 22102: [discriminator loss: 0.537321, acc: 0.710938] [adversarial loss: 1.139510, acc: 0.281250] 22103: [discriminator loss: 0.579822, acc: 0.742188] [adversarial loss: 1.768056, acc: 0.109375] 22104: [discriminator loss: 0.547739, acc: 0.664062] [adversarial loss: 0.962891, acc: 0.359375] 22105: [discriminator loss: 0.508247, acc: 0.765625] [adversarial loss: 1.580501, acc: 0.078125] 22106: [discriminator loss: 0.489193, acc: 0.757812] [adversarial loss: 1.120915, acc: 0.296875] 22107: [discriminator loss: 0.535328, acc: 0.695312] [adversarial loss: 1.409607, acc: 0.156250] 22108: [discriminator loss: 0.593714, acc: 0.664062] [adversarial loss: 0.848138, acc: 0.421875] 22109: [discriminator loss: 0.555922, acc: 0.695312] [adversarial loss: 1.486692, acc: 0.109375] 22110: [discriminator loss: 0.584499, acc: 0.687500] [adversarial loss: 0.883497, acc: 0.437500] 22111: [discriminator loss: 0.586827, acc: 0.703125] [adversarial loss: 1.582533, acc: 0.093750] 22112: [discriminator loss: 0.547922, acc: 0.656250] [adversarial loss: 0.814773, acc: 0.515625] 22113: [discriminator loss: 0.509285, acc: 0.671875] [adversarial loss: 1.221716, acc: 0.171875] 22114: [discriminator loss: 0.508754, acc: 0.742188] [adversarial loss: 1.176735, acc: 0.250000] 22115: [discriminator loss: 0.578249, acc: 0.687500] [adversarial loss: 1.456031, acc: 0.109375] 22116: [discriminator loss: 0.549922, acc: 0.679688] [adversarial loss: 0.971488, acc: 0.406250] 22117: [discriminator loss: 0.489165, acc: 0.773438] [adversarial loss: 1.440960, acc: 0.187500] 22118: [discriminator loss: 0.583719, acc: 0.687500] [adversarial loss: 1.102378, acc: 0.312500] 22119: [discriminator loss: 0.624048, acc: 0.671875] [adversarial loss: 1.143255, acc: 0.281250] 22120: [discriminator loss: 0.549768, acc: 0.710938] [adversarial loss: 1.180498, acc: 0.250000] 22121: [discriminator loss: 0.594788, acc: 0.679688] [adversarial loss: 1.326177, acc: 0.203125] 22122: [discriminator loss: 0.547050, acc: 0.742188] [adversarial loss: 0.949581, acc: 0.359375] 22123: [discriminator loss: 0.496040, acc: 0.750000] [adversarial loss: 1.432606, acc: 0.171875] 22124: [discriminator loss: 0.503205, acc: 0.726562] [adversarial loss: 1.291867, acc: 0.203125] 22125: [discriminator loss: 0.545721, acc: 0.726562] [adversarial loss: 1.236353, acc: 0.234375] 22126: [discriminator loss: 0.584437, acc: 0.679688] [adversarial loss: 1.348341, acc: 0.171875] 22127: [discriminator loss: 0.445400, acc: 0.765625] [adversarial loss: 0.834435, acc: 0.484375] 22128: [discriminator loss: 0.597524, acc: 0.703125] [adversarial loss: 1.699864, acc: 0.109375] 22129: [discriminator loss: 0.604891, acc: 0.703125] [adversarial loss: 0.888720, acc: 0.406250] 22130: [discriminator loss: 0.535507, acc: 0.687500] [adversarial loss: 1.431270, acc: 0.156250] 22131: [discriminator loss: 0.621090, acc: 0.656250] [adversarial loss: 0.918816, acc: 0.406250] 22132: [discriminator loss: 0.478091, acc: 0.710938] [adversarial loss: 1.531497, acc: 0.140625] 22133: [discriminator loss: 0.545182, acc: 0.664062] [adversarial loss: 1.092806, acc: 0.265625] 22134: [discriminator loss: 0.606495, acc: 0.640625] [adversarial loss: 1.353539, acc: 0.109375] 22135: [discriminator loss: 0.442617, acc: 0.796875] [adversarial loss: 0.977653, acc: 0.343750] 22136: [discriminator loss: 0.521365, acc: 0.757812] [adversarial loss: 1.152419, acc: 0.187500] 22137: [discriminator loss: 0.481838, acc: 0.765625] [adversarial loss: 1.307158, acc: 0.125000] 22138: [discriminator loss: 0.512424, acc: 0.750000] [adversarial loss: 1.324501, acc: 0.187500] 22139: [discriminator loss: 0.529506, acc: 0.718750] [adversarial loss: 1.501075, acc: 0.125000] 22140: [discriminator loss: 0.535012, acc: 0.703125] [adversarial loss: 0.803076, acc: 0.500000] 22141: [discriminator loss: 0.615261, acc: 0.687500] [adversarial loss: 1.695607, acc: 0.046875] 22142: [discriminator loss: 0.635740, acc: 0.625000] [adversarial loss: 0.916661, acc: 0.453125] 22143: [discriminator loss: 0.570181, acc: 0.671875] [adversarial loss: 1.312586, acc: 0.156250] 22144: [discriminator loss: 0.484772, acc: 0.765625] [adversarial loss: 1.028353, acc: 0.328125] 22145: [discriminator loss: 0.457301, acc: 0.804688] [adversarial loss: 1.444339, acc: 0.265625] 22146: [discriminator loss: 0.594522, acc: 0.640625] [adversarial loss: 1.007098, acc: 0.312500] 22147: [discriminator loss: 0.591075, acc: 0.687500] [adversarial loss: 1.320396, acc: 0.187500] 22148: [discriminator loss: 0.586983, acc: 0.679688] [adversarial loss: 1.068749, acc: 0.375000] 22149: [discriminator loss: 0.596595, acc: 0.656250] [adversarial loss: 1.305190, acc: 0.265625] 22150: [discriminator loss: 0.562335, acc: 0.656250] [adversarial loss: 0.995190, acc: 0.281250] 22151: [discriminator loss: 0.531292, acc: 0.734375] [adversarial loss: 1.209915, acc: 0.265625] 22152: [discriminator loss: 0.504561, acc: 0.781250] [adversarial loss: 1.109617, acc: 0.281250] 22153: [discriminator loss: 0.446299, acc: 0.804688] [adversarial loss: 0.959609, acc: 0.468750] 22154: [discriminator loss: 0.537107, acc: 0.726562] [adversarial loss: 1.661706, acc: 0.062500] 22155: [discriminator loss: 0.558117, acc: 0.710938] [adversarial loss: 0.684706, acc: 0.656250] 22156: [discriminator loss: 0.659912, acc: 0.679688] [adversarial loss: 1.677520, acc: 0.093750] 22157: [discriminator loss: 0.541648, acc: 0.679688] [adversarial loss: 0.913573, acc: 0.390625] 22158: [discriminator loss: 0.643173, acc: 0.664062] [adversarial loss: 1.473174, acc: 0.109375] 22159: [discriminator loss: 0.595083, acc: 0.671875] [adversarial loss: 0.824808, acc: 0.500000] 22160: [discriminator loss: 0.548576, acc: 0.742188] [adversarial loss: 1.444416, acc: 0.093750] 22161: [discriminator loss: 0.573993, acc: 0.718750] [adversarial loss: 0.867484, acc: 0.453125] 22162: [discriminator loss: 0.615681, acc: 0.679688] [adversarial loss: 1.335530, acc: 0.171875] 22163: [discriminator loss: 0.513608, acc: 0.742188] [adversarial loss: 1.239387, acc: 0.250000] 22164: [discriminator loss: 0.533255, acc: 0.703125] [adversarial loss: 1.091027, acc: 0.281250] 22165: [discriminator loss: 0.535750, acc: 0.734375] [adversarial loss: 1.036718, acc: 0.312500] 22166: [discriminator loss: 0.556652, acc: 0.703125] [adversarial loss: 1.067412, acc: 0.265625] 22167: [discriminator loss: 0.423884, acc: 0.789062] [adversarial loss: 1.032481, acc: 0.343750] 22168: [discriminator loss: 0.568654, acc: 0.734375] [adversarial loss: 1.036404, acc: 0.296875] 22169: [discriminator loss: 0.520812, acc: 0.695312] [adversarial loss: 1.278950, acc: 0.171875] 22170: [discriminator loss: 0.537970, acc: 0.710938] [adversarial loss: 1.230159, acc: 0.187500] 22171: [discriminator loss: 0.541033, acc: 0.703125] [adversarial loss: 1.066615, acc: 0.296875] 22172: [discriminator loss: 0.546306, acc: 0.703125] [adversarial loss: 1.515811, acc: 0.109375] 22173: [discriminator loss: 0.519406, acc: 0.703125] [adversarial loss: 1.161163, acc: 0.296875] 22174: [discriminator loss: 0.472115, acc: 0.773438] [adversarial loss: 1.118912, acc: 0.265625] 22175: [discriminator loss: 0.553172, acc: 0.726562] [adversarial loss: 1.164845, acc: 0.265625] 22176: [discriminator loss: 0.469810, acc: 0.773438] [adversarial loss: 1.252715, acc: 0.281250] 22177: [discriminator loss: 0.595211, acc: 0.632812] [adversarial loss: 1.144341, acc: 0.296875] 22178: [discriminator loss: 0.534054, acc: 0.757812] [adversarial loss: 1.242960, acc: 0.218750] 22179: [discriminator loss: 0.600932, acc: 0.679688] [adversarial loss: 1.262411, acc: 0.203125] 22180: [discriminator loss: 0.534202, acc: 0.687500] [adversarial loss: 0.885407, acc: 0.437500] 22181: [discriminator loss: 0.585720, acc: 0.664062] [adversarial loss: 1.220695, acc: 0.218750] 22182: [discriminator loss: 0.452790, acc: 0.765625] [adversarial loss: 0.963508, acc: 0.421875] 22183: [discriminator loss: 0.598696, acc: 0.656250] [adversarial loss: 1.533315, acc: 0.093750] 22184: [discriminator loss: 0.586915, acc: 0.695312] [adversarial loss: 0.978461, acc: 0.437500] 22185: [discriminator loss: 0.569611, acc: 0.750000] [adversarial loss: 1.393418, acc: 0.171875] 22186: [discriminator loss: 0.541516, acc: 0.671875] [adversarial loss: 0.846897, acc: 0.500000] 22187: [discriminator loss: 0.549089, acc: 0.718750] [adversarial loss: 1.375214, acc: 0.156250] 22188: [discriminator loss: 0.562765, acc: 0.726562] [adversarial loss: 1.192835, acc: 0.234375] 22189: [discriminator loss: 0.529665, acc: 0.757812] [adversarial loss: 1.282954, acc: 0.234375] 22190: [discriminator loss: 0.505614, acc: 0.765625] [adversarial loss: 1.076539, acc: 0.375000] 22191: [discriminator loss: 0.576461, acc: 0.664062] [adversarial loss: 1.318549, acc: 0.140625] 22192: [discriminator loss: 0.526153, acc: 0.703125] [adversarial loss: 1.006179, acc: 0.421875] 22193: [discriminator loss: 0.527728, acc: 0.718750] [adversarial loss: 1.610659, acc: 0.125000] 22194: [discriminator loss: 0.487826, acc: 0.757812] [adversarial loss: 0.974122, acc: 0.359375] 22195: [discriminator loss: 0.491863, acc: 0.765625] [adversarial loss: 1.747741, acc: 0.046875] 22196: [discriminator loss: 0.590472, acc: 0.664062] [adversarial loss: 0.792568, acc: 0.453125] 22197: [discriminator loss: 0.502780, acc: 0.781250] [adversarial loss: 1.547222, acc: 0.109375] 22198: [discriminator loss: 0.496877, acc: 0.742188] [adversarial loss: 0.995126, acc: 0.437500] 22199: [discriminator loss: 0.521223, acc: 0.750000] [adversarial loss: 1.550401, acc: 0.125000] 22200: [discriminator loss: 0.579583, acc: 0.718750] [adversarial loss: 0.847846, acc: 0.453125] 22201: [discriminator loss: 0.555424, acc: 0.664062] [adversarial loss: 1.325646, acc: 0.187500] 22202: [discriminator loss: 0.546153, acc: 0.687500] [adversarial loss: 0.944204, acc: 0.468750] 22203: [discriminator loss: 0.527379, acc: 0.718750] [adversarial loss: 1.072756, acc: 0.296875] 22204: [discriminator loss: 0.573971, acc: 0.687500] [adversarial loss: 1.290693, acc: 0.125000] 22205: [discriminator loss: 0.525575, acc: 0.750000] [adversarial loss: 1.080214, acc: 0.203125] 22206: [discriminator loss: 0.487363, acc: 0.726562] [adversarial loss: 1.268826, acc: 0.234375] 22207: [discriminator loss: 0.537568, acc: 0.671875] [adversarial loss: 0.927357, acc: 0.375000] 22208: [discriminator loss: 0.547871, acc: 0.710938] [adversarial loss: 1.362627, acc: 0.203125] 22209: [discriminator loss: 0.542037, acc: 0.718750] [adversarial loss: 1.010267, acc: 0.468750] 22210: [discriminator loss: 0.614441, acc: 0.640625] [adversarial loss: 1.448357, acc: 0.093750] 22211: [discriminator loss: 0.561324, acc: 0.695312] [adversarial loss: 0.700272, acc: 0.593750] 22212: [discriminator loss: 0.547116, acc: 0.742188] [adversarial loss: 1.664760, acc: 0.171875] 22213: [discriminator loss: 0.595925, acc: 0.656250] [adversarial loss: 1.164315, acc: 0.250000] 22214: [discriminator loss: 0.514678, acc: 0.734375] [adversarial loss: 1.335036, acc: 0.187500] 22215: [discriminator loss: 0.480595, acc: 0.804688] [adversarial loss: 0.970314, acc: 0.375000] 22216: [discriminator loss: 0.498516, acc: 0.726562] [adversarial loss: 1.268403, acc: 0.156250] 22217: [discriminator loss: 0.519628, acc: 0.750000] [adversarial loss: 1.037759, acc: 0.343750] 22218: [discriminator loss: 0.542699, acc: 0.710938] [adversarial loss: 1.262853, acc: 0.203125] 22219: [discriminator loss: 0.496191, acc: 0.734375] [adversarial loss: 1.039459, acc: 0.406250] 22220: [discriminator loss: 0.573353, acc: 0.710938] [adversarial loss: 1.334490, acc: 0.171875] 22221: [discriminator loss: 0.507993, acc: 0.750000] [adversarial loss: 1.001606, acc: 0.312500] 22222: [discriminator loss: 0.522472, acc: 0.789062] [adversarial loss: 1.159026, acc: 0.281250] 22223: [discriminator loss: 0.570604, acc: 0.656250] [adversarial loss: 1.038465, acc: 0.359375] 22224: [discriminator loss: 0.567374, acc: 0.671875] [adversarial loss: 1.199215, acc: 0.265625] 22225: [discriminator loss: 0.521612, acc: 0.726562] [adversarial loss: 0.934808, acc: 0.437500] 22226: [discriminator loss: 0.484599, acc: 0.742188] [adversarial loss: 1.206303, acc: 0.281250] 22227: [discriminator loss: 0.517083, acc: 0.750000] [adversarial loss: 1.304002, acc: 0.203125] 22228: [discriminator loss: 0.495816, acc: 0.773438] [adversarial loss: 1.410436, acc: 0.187500] 22229: [discriminator loss: 0.581430, acc: 0.687500] [adversarial loss: 1.127043, acc: 0.421875] 22230: [discriminator loss: 0.551789, acc: 0.695312] [adversarial loss: 1.629319, acc: 0.093750] 22231: [discriminator loss: 0.507561, acc: 0.718750] [adversarial loss: 0.962391, acc: 0.484375] 22232: [discriminator loss: 0.616887, acc: 0.671875] [adversarial loss: 1.479904, acc: 0.234375] 22233: [discriminator loss: 0.520112, acc: 0.750000] [adversarial loss: 1.035213, acc: 0.390625] 22234: [discriminator loss: 0.546877, acc: 0.695312] [adversarial loss: 1.640726, acc: 0.125000] 22235: [discriminator loss: 0.516570, acc: 0.750000] [adversarial loss: 1.062614, acc: 0.343750] 22236: [discriminator loss: 0.581887, acc: 0.695312] [adversarial loss: 1.278441, acc: 0.125000] 22237: [discriminator loss: 0.616557, acc: 0.664062] [adversarial loss: 1.016781, acc: 0.265625] 22238: [discriminator loss: 0.597288, acc: 0.679688] [adversarial loss: 1.585404, acc: 0.046875] 22239: [discriminator loss: 0.630702, acc: 0.609375] [adversarial loss: 1.056110, acc: 0.312500] 22240: [discriminator loss: 0.562876, acc: 0.726562] [adversarial loss: 1.135372, acc: 0.296875] 22241: [discriminator loss: 0.581421, acc: 0.695312] [adversarial loss: 1.086397, acc: 0.343750] 22242: [discriminator loss: 0.597818, acc: 0.640625] [adversarial loss: 1.579248, acc: 0.078125] 22243: [discriminator loss: 0.516580, acc: 0.695312] [adversarial loss: 0.968113, acc: 0.406250] 22244: [discriminator loss: 0.542245, acc: 0.703125] [adversarial loss: 1.270932, acc: 0.218750] 22245: [discriminator loss: 0.579496, acc: 0.671875] [adversarial loss: 1.156784, acc: 0.265625] 22246: [discriminator loss: 0.556815, acc: 0.695312] [adversarial loss: 1.517373, acc: 0.046875] 22247: [discriminator loss: 0.553531, acc: 0.734375] [adversarial loss: 0.957942, acc: 0.421875] 22248: [discriminator loss: 0.587446, acc: 0.703125] [adversarial loss: 1.259145, acc: 0.281250] 22249: [discriminator loss: 0.557898, acc: 0.671875] [adversarial loss: 0.893371, acc: 0.437500] 22250: [discriminator loss: 0.573717, acc: 0.695312] [adversarial loss: 1.321658, acc: 0.156250] 22251: [discriminator loss: 0.574672, acc: 0.734375] [adversarial loss: 1.018980, acc: 0.312500] 22252: [discriminator loss: 0.558842, acc: 0.695312] [adversarial loss: 1.478439, acc: 0.125000] 22253: [discriminator loss: 0.519016, acc: 0.710938] [adversarial loss: 0.872238, acc: 0.468750] 22254: [discriminator loss: 0.570429, acc: 0.765625] [adversarial loss: 1.569371, acc: 0.093750] 22255: [discriminator loss: 0.621636, acc: 0.640625] [adversarial loss: 0.933253, acc: 0.453125] 22256: [discriminator loss: 0.600014, acc: 0.726562] [adversarial loss: 1.370808, acc: 0.140625] 22257: [discriminator loss: 0.530533, acc: 0.757812] [adversarial loss: 1.183181, acc: 0.234375] 22258: [discriminator loss: 0.617845, acc: 0.679688] [adversarial loss: 0.928759, acc: 0.421875] 22259: [discriminator loss: 0.550142, acc: 0.695312] [adversarial loss: 1.333985, acc: 0.171875] 22260: [discriminator loss: 0.651345, acc: 0.593750] [adversarial loss: 0.855572, acc: 0.390625] 22261: [discriminator loss: 0.561009, acc: 0.726562] [adversarial loss: 1.450810, acc: 0.109375] 22262: [discriminator loss: 0.537545, acc: 0.726562] [adversarial loss: 0.966490, acc: 0.406250] 22263: [discriminator loss: 0.533658, acc: 0.695312] [adversarial loss: 1.570157, acc: 0.171875] 22264: [discriminator loss: 0.617793, acc: 0.640625] [adversarial loss: 0.844864, acc: 0.500000] 22265: [discriminator loss: 0.627558, acc: 0.656250] [adversarial loss: 1.535820, acc: 0.125000] 22266: [discriminator loss: 0.529159, acc: 0.718750] [adversarial loss: 1.035319, acc: 0.328125] 22267: [discriminator loss: 0.631735, acc: 0.664062] [adversarial loss: 1.179189, acc: 0.281250] 22268: [discriminator loss: 0.473298, acc: 0.820312] [adversarial loss: 1.099747, acc: 0.281250] 22269: [discriminator loss: 0.550967, acc: 0.710938] [adversarial loss: 1.358195, acc: 0.187500] 22270: [discriminator loss: 0.505666, acc: 0.742188] [adversarial loss: 0.940235, acc: 0.328125] 22271: [discriminator loss: 0.638496, acc: 0.632812] [adversarial loss: 1.301926, acc: 0.281250] 22272: [discriminator loss: 0.538942, acc: 0.742188] [adversarial loss: 0.832615, acc: 0.453125] 22273: [discriminator loss: 0.508573, acc: 0.765625] [adversarial loss: 1.368109, acc: 0.218750] 22274: [discriminator loss: 0.519603, acc: 0.773438] [adversarial loss: 0.860657, acc: 0.421875] 22275: [discriminator loss: 0.501884, acc: 0.765625] [adversarial loss: 1.446751, acc: 0.140625] 22276: [discriminator loss: 0.606406, acc: 0.679688] [adversarial loss: 0.654720, acc: 0.671875] 22277: [discriminator loss: 0.635914, acc: 0.632812] [adversarial loss: 1.700657, acc: 0.046875] 22278: [discriminator loss: 0.588206, acc: 0.671875] [adversarial loss: 0.767752, acc: 0.640625] 22279: [discriminator loss: 0.552223, acc: 0.687500] [adversarial loss: 1.213816, acc: 0.234375] 22280: [discriminator loss: 0.532579, acc: 0.726562] [adversarial loss: 1.015831, acc: 0.359375] 22281: [discriminator loss: 0.536961, acc: 0.695312] [adversarial loss: 0.898214, acc: 0.484375] 22282: [discriminator loss: 0.534388, acc: 0.726562] [adversarial loss: 1.510604, acc: 0.171875] 22283: [discriminator loss: 0.544772, acc: 0.695312] [adversarial loss: 0.814759, acc: 0.515625] 22284: [discriminator loss: 0.518552, acc: 0.718750] [adversarial loss: 1.211411, acc: 0.218750] 22285: [discriminator loss: 0.530389, acc: 0.687500] [adversarial loss: 0.975691, acc: 0.406250] 22286: [discriminator loss: 0.552791, acc: 0.726562] [adversarial loss: 1.357290, acc: 0.187500] 22287: [discriminator loss: 0.534809, acc: 0.726562] [adversarial loss: 1.059878, acc: 0.375000] 22288: [discriminator loss: 0.582731, acc: 0.695312] [adversarial loss: 1.088558, acc: 0.343750] 22289: [discriminator loss: 0.513417, acc: 0.757812] [adversarial loss: 1.108701, acc: 0.187500] 22290: [discriminator loss: 0.522007, acc: 0.695312] [adversarial loss: 1.255159, acc: 0.187500] 22291: [discriminator loss: 0.582292, acc: 0.687500] [adversarial loss: 0.878089, acc: 0.484375] 22292: [discriminator loss: 0.569678, acc: 0.718750] [adversarial loss: 1.312609, acc: 0.187500] 22293: [discriminator loss: 0.523192, acc: 0.703125] [adversarial loss: 0.871651, acc: 0.531250] 22294: [discriminator loss: 0.566478, acc: 0.703125] [adversarial loss: 1.649940, acc: 0.109375] 22295: [discriminator loss: 0.522596, acc: 0.710938] [adversarial loss: 0.703143, acc: 0.625000] 22296: [discriminator loss: 0.530792, acc: 0.742188] [adversarial loss: 1.534978, acc: 0.125000] 22297: [discriminator loss: 0.544107, acc: 0.734375] [adversarial loss: 0.959909, acc: 0.375000] 22298: [discriminator loss: 0.527445, acc: 0.742188] [adversarial loss: 1.631276, acc: 0.062500] 22299: [discriminator loss: 0.584936, acc: 0.703125] [adversarial loss: 0.798093, acc: 0.531250] 22300: [discriminator loss: 0.583715, acc: 0.679688] [adversarial loss: 1.444193, acc: 0.234375] 22301: [discriminator loss: 0.479740, acc: 0.757812] [adversarial loss: 1.242560, acc: 0.171875] 22302: [discriminator loss: 0.546957, acc: 0.664062] [adversarial loss: 1.009488, acc: 0.453125] 22303: [discriminator loss: 0.530769, acc: 0.687500] [adversarial loss: 1.277851, acc: 0.171875] 22304: [discriminator loss: 0.558034, acc: 0.648438] [adversarial loss: 1.218412, acc: 0.281250] 22305: [discriminator loss: 0.570404, acc: 0.703125] [adversarial loss: 1.196628, acc: 0.234375] 22306: [discriminator loss: 0.513518, acc: 0.757812] [adversarial loss: 1.061234, acc: 0.328125] 22307: [discriminator loss: 0.545644, acc: 0.695312] [adversarial loss: 1.441856, acc: 0.125000] 22308: [discriminator loss: 0.566825, acc: 0.710938] [adversarial loss: 1.253633, acc: 0.203125] 22309: [discriminator loss: 0.512422, acc: 0.742188] [adversarial loss: 1.192421, acc: 0.281250] 22310: [discriminator loss: 0.525966, acc: 0.765625] [adversarial loss: 1.403480, acc: 0.203125] 22311: [discriminator loss: 0.485925, acc: 0.773438] [adversarial loss: 1.205557, acc: 0.265625] 22312: [discriminator loss: 0.558103, acc: 0.703125] [adversarial loss: 1.499508, acc: 0.125000] 22313: [discriminator loss: 0.501843, acc: 0.726562] [adversarial loss: 0.795261, acc: 0.500000] 22314: [discriminator loss: 0.545470, acc: 0.710938] [adversarial loss: 1.943341, acc: 0.031250] 22315: [discriminator loss: 0.549659, acc: 0.687500] [adversarial loss: 1.043411, acc: 0.375000] 22316: [discriminator loss: 0.535394, acc: 0.757812] [adversarial loss: 1.532504, acc: 0.171875] 22317: [discriminator loss: 0.578216, acc: 0.710938] [adversarial loss: 0.878156, acc: 0.500000] 22318: [discriminator loss: 0.557134, acc: 0.671875] [adversarial loss: 1.895958, acc: 0.078125] 22319: [discriminator loss: 0.648349, acc: 0.625000] [adversarial loss: 0.667046, acc: 0.656250] 22320: [discriminator loss: 0.662006, acc: 0.617188] [adversarial loss: 1.514130, acc: 0.140625] 22321: [discriminator loss: 0.652148, acc: 0.617188] [adversarial loss: 1.070538, acc: 0.390625] 22322: [discriminator loss: 0.530651, acc: 0.695312] [adversarial loss: 1.531340, acc: 0.140625] 22323: [discriminator loss: 0.539693, acc: 0.695312] [adversarial loss: 1.040406, acc: 0.328125] 22324: [discriminator loss: 0.499798, acc: 0.765625] [adversarial loss: 1.222294, acc: 0.281250] 22325: [discriminator loss: 0.487047, acc: 0.757812] [adversarial loss: 1.276744, acc: 0.203125] 22326: [discriminator loss: 0.617743, acc: 0.656250] [adversarial loss: 1.224952, acc: 0.296875] 22327: [discriminator loss: 0.634678, acc: 0.640625] [adversarial loss: 1.193852, acc: 0.296875] 22328: [discriminator loss: 0.531556, acc: 0.742188] [adversarial loss: 1.161357, acc: 0.281250] 22329: [discriminator loss: 0.542164, acc: 0.640625] [adversarial loss: 1.215033, acc: 0.203125] 22330: [discriminator loss: 0.531904, acc: 0.750000] [adversarial loss: 1.311486, acc: 0.203125] 22331: [discriminator loss: 0.500354, acc: 0.734375] [adversarial loss: 0.921457, acc: 0.406250] 22332: [discriminator loss: 0.513376, acc: 0.718750] [adversarial loss: 1.511398, acc: 0.109375] 22333: [discriminator loss: 0.577674, acc: 0.671875] [adversarial loss: 0.865291, acc: 0.406250] 22334: [discriminator loss: 0.506052, acc: 0.765625] [adversarial loss: 1.331662, acc: 0.171875] 22335: [discriminator loss: 0.511288, acc: 0.750000] [adversarial loss: 1.148482, acc: 0.296875] 22336: [discriminator loss: 0.490645, acc: 0.765625] [adversarial loss: 1.432676, acc: 0.140625] 22337: [discriminator loss: 0.475033, acc: 0.773438] [adversarial loss: 1.039782, acc: 0.375000] 22338: [discriminator loss: 0.493578, acc: 0.765625] [adversarial loss: 1.391907, acc: 0.203125] 22339: [discriminator loss: 0.533981, acc: 0.781250] [adversarial loss: 0.906390, acc: 0.343750] 22340: [discriminator loss: 0.551303, acc: 0.757812] [adversarial loss: 1.447756, acc: 0.156250] 22341: [discriminator loss: 0.594554, acc: 0.679688] [adversarial loss: 0.925764, acc: 0.343750] 22342: [discriminator loss: 0.565940, acc: 0.687500] [adversarial loss: 1.230227, acc: 0.218750] 22343: [discriminator loss: 0.563649, acc: 0.679688] [adversarial loss: 1.349968, acc: 0.281250] 22344: [discriminator loss: 0.503395, acc: 0.734375] [adversarial loss: 0.898865, acc: 0.437500] 22345: [discriminator loss: 0.552909, acc: 0.695312] [adversarial loss: 1.485447, acc: 0.109375] 22346: [discriminator loss: 0.581282, acc: 0.664062] [adversarial loss: 0.750030, acc: 0.656250] 22347: [discriminator loss: 0.532658, acc: 0.726562] [adversarial loss: 1.447347, acc: 0.187500] 22348: [discriminator loss: 0.528244, acc: 0.710938] [adversarial loss: 1.298860, acc: 0.250000] 22349: [discriminator loss: 0.508687, acc: 0.757812] [adversarial loss: 1.336705, acc: 0.265625] 22350: [discriminator loss: 0.524754, acc: 0.734375] [adversarial loss: 1.094117, acc: 0.281250] 22351: [discriminator loss: 0.516563, acc: 0.726562] [adversarial loss: 1.546221, acc: 0.109375] 22352: [discriminator loss: 0.628666, acc: 0.625000] [adversarial loss: 0.945974, acc: 0.343750] 22353: [discriminator loss: 0.564587, acc: 0.734375] [adversarial loss: 1.609803, acc: 0.093750] 22354: [discriminator loss: 0.546432, acc: 0.703125] [adversarial loss: 1.066571, acc: 0.390625] 22355: [discriminator loss: 0.525734, acc: 0.734375] [adversarial loss: 1.471088, acc: 0.125000] 22356: [discriminator loss: 0.572302, acc: 0.679688] [adversarial loss: 0.910540, acc: 0.500000] 22357: [discriminator loss: 0.552182, acc: 0.718750] [adversarial loss: 1.641718, acc: 0.062500] 22358: [discriminator loss: 0.557665, acc: 0.703125] [adversarial loss: 0.997869, acc: 0.390625] 22359: [discriminator loss: 0.577954, acc: 0.734375] [adversarial loss: 1.196693, acc: 0.296875] 22360: [discriminator loss: 0.486184, acc: 0.781250] [adversarial loss: 1.263371, acc: 0.250000] 22361: [discriminator loss: 0.517321, acc: 0.710938] [adversarial loss: 1.284138, acc: 0.171875] 22362: [discriminator loss: 0.506205, acc: 0.765625] [adversarial loss: 0.868647, acc: 0.484375] 22363: [discriminator loss: 0.483033, acc: 0.789062] [adversarial loss: 1.229403, acc: 0.312500] 22364: [discriminator loss: 0.448243, acc: 0.773438] [adversarial loss: 1.222784, acc: 0.265625] 22365: [discriminator loss: 0.595525, acc: 0.648438] [adversarial loss: 1.165524, acc: 0.250000] 22366: [discriminator loss: 0.551345, acc: 0.703125] [adversarial loss: 1.192909, acc: 0.250000] 22367: [discriminator loss: 0.619586, acc: 0.632812] [adversarial loss: 1.134487, acc: 0.281250] 22368: [discriminator loss: 0.548060, acc: 0.734375] [adversarial loss: 1.356186, acc: 0.171875] 22369: [discriminator loss: 0.532161, acc: 0.710938] [adversarial loss: 0.787740, acc: 0.625000] 22370: [discriminator loss: 0.585914, acc: 0.734375] [adversarial loss: 1.877976, acc: 0.093750] 22371: [discriminator loss: 0.592808, acc: 0.656250] [adversarial loss: 0.961871, acc: 0.421875] 22372: [discriminator loss: 0.515714, acc: 0.796875] [adversarial loss: 1.524058, acc: 0.140625] 22373: [discriminator loss: 0.431530, acc: 0.820312] [adversarial loss: 1.039823, acc: 0.406250] 22374: [discriminator loss: 0.509401, acc: 0.773438] [adversarial loss: 1.162003, acc: 0.234375] 22375: [discriminator loss: 0.598879, acc: 0.671875] [adversarial loss: 1.146010, acc: 0.296875] 22376: [discriminator loss: 0.534922, acc: 0.687500] [adversarial loss: 1.018277, acc: 0.359375] 22377: [discriminator loss: 0.559662, acc: 0.679688] [adversarial loss: 1.247168, acc: 0.218750] 22378: [discriminator loss: 0.537688, acc: 0.703125] [adversarial loss: 1.343989, acc: 0.250000] 22379: [discriminator loss: 0.582184, acc: 0.640625] [adversarial loss: 1.362989, acc: 0.187500] 22380: [discriminator loss: 0.569470, acc: 0.718750] [adversarial loss: 1.122436, acc: 0.234375] 22381: [discriminator loss: 0.512993, acc: 0.726562] [adversarial loss: 1.500420, acc: 0.140625] 22382: [discriminator loss: 0.557210, acc: 0.695312] [adversarial loss: 0.944892, acc: 0.421875] 22383: [discriminator loss: 0.499768, acc: 0.757812] [adversarial loss: 1.826225, acc: 0.093750] 22384: [discriminator loss: 0.566091, acc: 0.703125] [adversarial loss: 0.832992, acc: 0.500000] 22385: [discriminator loss: 0.689997, acc: 0.617188] [adversarial loss: 1.719135, acc: 0.093750] 22386: [discriminator loss: 0.569823, acc: 0.726562] [adversarial loss: 0.966318, acc: 0.375000] 22387: [discriminator loss: 0.508314, acc: 0.750000] [adversarial loss: 1.389045, acc: 0.218750] 22388: [discriminator loss: 0.560122, acc: 0.695312] [adversarial loss: 1.293849, acc: 0.218750] 22389: [discriminator loss: 0.493749, acc: 0.750000] [adversarial loss: 1.192514, acc: 0.281250] 22390: [discriminator loss: 0.573190, acc: 0.718750] [adversarial loss: 1.446650, acc: 0.171875] 22391: [discriminator loss: 0.585194, acc: 0.679688] [adversarial loss: 0.945589, acc: 0.390625] 22392: [discriminator loss: 0.531744, acc: 0.718750] [adversarial loss: 1.446974, acc: 0.140625] 22393: [discriminator loss: 0.641322, acc: 0.625000] [adversarial loss: 1.024558, acc: 0.296875] 22394: [discriminator loss: 0.591018, acc: 0.679688] [adversarial loss: 1.399073, acc: 0.140625] 22395: [discriminator loss: 0.538732, acc: 0.718750] [adversarial loss: 0.784249, acc: 0.484375] 22396: [discriminator loss: 0.533865, acc: 0.742188] [adversarial loss: 1.575015, acc: 0.109375] 22397: [discriminator loss: 0.585654, acc: 0.664062] [adversarial loss: 1.002254, acc: 0.343750] 22398: [discriminator loss: 0.486716, acc: 0.773438] [adversarial loss: 1.512470, acc: 0.140625] 22399: [discriminator loss: 0.596306, acc: 0.632812] [adversarial loss: 1.158153, acc: 0.218750] 22400: [discriminator loss: 0.552630, acc: 0.703125] [adversarial loss: 1.112771, acc: 0.265625] 22401: [discriminator loss: 0.470148, acc: 0.820312] [adversarial loss: 1.215676, acc: 0.187500] 22402: [discriminator loss: 0.507233, acc: 0.757812] [adversarial loss: 1.359376, acc: 0.250000] 22403: [discriminator loss: 0.563260, acc: 0.671875] [adversarial loss: 1.353220, acc: 0.250000] 22404: [discriminator loss: 0.518520, acc: 0.757812] [adversarial loss: 0.993609, acc: 0.359375] 22405: [discriminator loss: 0.524181, acc: 0.734375] [adversarial loss: 1.119030, acc: 0.343750] 22406: [discriminator loss: 0.549715, acc: 0.734375] [adversarial loss: 1.140616, acc: 0.312500] 22407: [discriminator loss: 0.536634, acc: 0.671875] [adversarial loss: 1.078266, acc: 0.265625] 22408: [discriminator loss: 0.523144, acc: 0.773438] [adversarial loss: 0.925559, acc: 0.515625] 22409: [discriminator loss: 0.495352, acc: 0.796875] [adversarial loss: 1.545619, acc: 0.109375] 22410: [discriminator loss: 0.511864, acc: 0.718750] [adversarial loss: 0.881434, acc: 0.437500] 22411: [discriminator loss: 0.521135, acc: 0.757812] [adversarial loss: 1.741854, acc: 0.125000] 22412: [discriminator loss: 0.613729, acc: 0.656250] [adversarial loss: 0.647799, acc: 0.625000] 22413: [discriminator loss: 0.592524, acc: 0.679688] [adversarial loss: 1.459568, acc: 0.140625] 22414: [discriminator loss: 0.620092, acc: 0.617188] [adversarial loss: 0.909026, acc: 0.390625] 22415: [discriminator loss: 0.518360, acc: 0.726562] [adversarial loss: 1.235409, acc: 0.234375] 22416: [discriminator loss: 0.569858, acc: 0.734375] [adversarial loss: 1.295415, acc: 0.156250] 22417: [discriminator loss: 0.478048, acc: 0.773438] [adversarial loss: 1.074030, acc: 0.296875] 22418: [discriminator loss: 0.561895, acc: 0.718750] [adversarial loss: 1.282603, acc: 0.281250] 22419: [discriminator loss: 0.512007, acc: 0.726562] [adversarial loss: 0.965663, acc: 0.421875] 22420: [discriminator loss: 0.530016, acc: 0.757812] [adversarial loss: 1.452000, acc: 0.156250] 22421: [discriminator loss: 0.518705, acc: 0.742188] [adversarial loss: 1.036940, acc: 0.359375] 22422: [discriminator loss: 0.568386, acc: 0.718750] [adversarial loss: 1.428545, acc: 0.218750] 22423: [discriminator loss: 0.563550, acc: 0.687500] [adversarial loss: 0.801693, acc: 0.468750] 22424: [discriminator loss: 0.476620, acc: 0.742188] [adversarial loss: 1.467717, acc: 0.187500] 22425: [discriminator loss: 0.585692, acc: 0.703125] [adversarial loss: 0.725854, acc: 0.562500] 22426: [discriminator loss: 0.558084, acc: 0.687500] [adversarial loss: 1.403456, acc: 0.171875] 22427: [discriminator loss: 0.517805, acc: 0.765625] [adversarial loss: 0.911287, acc: 0.406250] 22428: [discriminator loss: 0.580288, acc: 0.710938] [adversarial loss: 1.510633, acc: 0.078125] 22429: [discriminator loss: 0.500474, acc: 0.750000] [adversarial loss: 1.202879, acc: 0.296875] 22430: [discriminator loss: 0.512315, acc: 0.718750] [adversarial loss: 1.411742, acc: 0.109375] 22431: [discriminator loss: 0.522255, acc: 0.750000] [adversarial loss: 1.158630, acc: 0.312500] 22432: [discriminator loss: 0.565275, acc: 0.710938] [adversarial loss: 1.685188, acc: 0.078125] 22433: [discriminator loss: 0.641230, acc: 0.632812] [adversarial loss: 0.870960, acc: 0.437500] 22434: [discriminator loss: 0.574643, acc: 0.671875] [adversarial loss: 1.603851, acc: 0.078125] 22435: [discriminator loss: 0.533486, acc: 0.726562] [adversarial loss: 0.824900, acc: 0.515625] 22436: [discriminator loss: 0.611834, acc: 0.664062] [adversarial loss: 1.199135, acc: 0.296875] 22437: [discriminator loss: 0.511903, acc: 0.718750] [adversarial loss: 1.259005, acc: 0.218750] 22438: [discriminator loss: 0.515976, acc: 0.765625] [adversarial loss: 1.298236, acc: 0.156250] 22439: [discriminator loss: 0.560175, acc: 0.718750] [adversarial loss: 1.272933, acc: 0.218750] 22440: [discriminator loss: 0.539543, acc: 0.718750] [adversarial loss: 1.241465, acc: 0.234375] 22441: [discriminator loss: 0.608300, acc: 0.679688] [adversarial loss: 1.224149, acc: 0.234375] 22442: [discriminator loss: 0.493592, acc: 0.750000] [adversarial loss: 1.096134, acc: 0.312500] 22443: [discriminator loss: 0.475772, acc: 0.750000] [adversarial loss: 1.239793, acc: 0.187500] 22444: [discriminator loss: 0.509707, acc: 0.742188] [adversarial loss: 1.342069, acc: 0.250000] 22445: [discriminator loss: 0.528502, acc: 0.726562] [adversarial loss: 1.390240, acc: 0.171875] 22446: [discriminator loss: 0.566699, acc: 0.687500] [adversarial loss: 1.146034, acc: 0.250000] 22447: [discriminator loss: 0.518862, acc: 0.765625] [adversarial loss: 1.070462, acc: 0.250000] 22448: [discriminator loss: 0.517112, acc: 0.718750] [adversarial loss: 1.350723, acc: 0.187500] 22449: [discriminator loss: 0.576686, acc: 0.664062] [adversarial loss: 1.059731, acc: 0.250000] 22450: [discriminator loss: 0.489838, acc: 0.773438] [adversarial loss: 1.349874, acc: 0.218750] 22451: [discriminator loss: 0.549622, acc: 0.742188] [adversarial loss: 1.138065, acc: 0.281250] 22452: [discriminator loss: 0.537918, acc: 0.757812] [adversarial loss: 1.260963, acc: 0.250000] 22453: [discriminator loss: 0.535911, acc: 0.750000] [adversarial loss: 1.095121, acc: 0.281250] 22454: [discriminator loss: 0.523478, acc: 0.765625] [adversarial loss: 1.572227, acc: 0.046875] 22455: [discriminator loss: 0.522251, acc: 0.765625] [adversarial loss: 1.143342, acc: 0.312500] 22456: [discriminator loss: 0.514817, acc: 0.734375] [adversarial loss: 1.256147, acc: 0.203125] 22457: [discriminator loss: 0.577514, acc: 0.695312] [adversarial loss: 1.322350, acc: 0.234375] 22458: [discriminator loss: 0.587389, acc: 0.695312] [adversarial loss: 1.392447, acc: 0.218750] 22459: [discriminator loss: 0.531870, acc: 0.757812] [adversarial loss: 0.996128, acc: 0.437500] 22460: [discriminator loss: 0.523621, acc: 0.703125] [adversarial loss: 1.441966, acc: 0.156250] 22461: [discriminator loss: 0.527820, acc: 0.679688] [adversarial loss: 0.863153, acc: 0.468750] 22462: [discriminator loss: 0.565796, acc: 0.687500] [adversarial loss: 1.402901, acc: 0.140625] 22463: [discriminator loss: 0.609144, acc: 0.695312] [adversarial loss: 0.862789, acc: 0.500000] 22464: [discriminator loss: 0.570930, acc: 0.718750] [adversarial loss: 1.697930, acc: 0.078125] 22465: [discriminator loss: 0.592220, acc: 0.710938] [adversarial loss: 0.974438, acc: 0.437500] 22466: [discriminator loss: 0.625941, acc: 0.656250] [adversarial loss: 1.194712, acc: 0.265625] 22467: [discriminator loss: 0.596936, acc: 0.656250] [adversarial loss: 1.039177, acc: 0.265625] 22468: [discriminator loss: 0.520471, acc: 0.742188] [adversarial loss: 1.396738, acc: 0.156250] 22469: [discriminator loss: 0.566745, acc: 0.671875] [adversarial loss: 0.742304, acc: 0.515625] 22470: [discriminator loss: 0.607771, acc: 0.734375] [adversarial loss: 1.522832, acc: 0.187500] 22471: [discriminator loss: 0.562455, acc: 0.718750] [adversarial loss: 1.076125, acc: 0.312500] 22472: [discriminator loss: 0.507054, acc: 0.757812] [adversarial loss: 1.432989, acc: 0.093750] 22473: [discriminator loss: 0.534021, acc: 0.750000] [adversarial loss: 1.112195, acc: 0.328125] 22474: [discriminator loss: 0.509566, acc: 0.757812] [adversarial loss: 1.320867, acc: 0.218750] 22475: [discriminator loss: 0.472215, acc: 0.781250] [adversarial loss: 1.221098, acc: 0.265625] 22476: [discriminator loss: 0.501998, acc: 0.773438] [adversarial loss: 0.932360, acc: 0.375000] 22477: [discriminator loss: 0.529628, acc: 0.765625] [adversarial loss: 1.462597, acc: 0.203125] 22478: [discriminator loss: 0.555156, acc: 0.695312] [adversarial loss: 1.049127, acc: 0.390625] 22479: [discriminator loss: 0.578105, acc: 0.710938] [adversarial loss: 1.223915, acc: 0.296875] 22480: [discriminator loss: 0.491331, acc: 0.726562] [adversarial loss: 1.099283, acc: 0.312500] 22481: [discriminator loss: 0.506357, acc: 0.710938] [adversarial loss: 1.297300, acc: 0.187500] 22482: [discriminator loss: 0.544643, acc: 0.703125] [adversarial loss: 1.007789, acc: 0.359375] 22483: [discriminator loss: 0.645789, acc: 0.648438] [adversarial loss: 1.991033, acc: 0.109375] 22484: [discriminator loss: 0.567683, acc: 0.679688] [adversarial loss: 0.869566, acc: 0.453125] 22485: [discriminator loss: 0.600539, acc: 0.664062] [adversarial loss: 1.216674, acc: 0.234375] 22486: [discriminator loss: 0.476087, acc: 0.750000] [adversarial loss: 0.900103, acc: 0.468750] 22487: [discriminator loss: 0.567180, acc: 0.625000] [adversarial loss: 1.002427, acc: 0.343750] 22488: [discriminator loss: 0.563868, acc: 0.687500] [adversarial loss: 1.193915, acc: 0.265625] 22489: [discriminator loss: 0.536740, acc: 0.726562] [adversarial loss: 1.485773, acc: 0.171875] 22490: [discriminator loss: 0.563944, acc: 0.695312] [adversarial loss: 0.938959, acc: 0.359375] 22491: [discriminator loss: 0.523609, acc: 0.750000] [adversarial loss: 1.134850, acc: 0.203125] 22492: [discriminator loss: 0.530951, acc: 0.765625] [adversarial loss: 1.251225, acc: 0.218750] 22493: [discriminator loss: 0.524620, acc: 0.726562] [adversarial loss: 1.186172, acc: 0.234375] 22494: [discriminator loss: 0.535797, acc: 0.718750] [adversarial loss: 0.892794, acc: 0.406250] 22495: [discriminator loss: 0.515316, acc: 0.757812] [adversarial loss: 1.620560, acc: 0.109375] 22496: [discriminator loss: 0.585080, acc: 0.726562] [adversarial loss: 0.890310, acc: 0.437500] 22497: [discriminator loss: 0.535362, acc: 0.750000] [adversarial loss: 1.550879, acc: 0.125000] 22498: [discriminator loss: 0.572093, acc: 0.718750] [adversarial loss: 0.860738, acc: 0.437500] 22499: [discriminator loss: 0.591040, acc: 0.703125] [adversarial loss: 1.492282, acc: 0.125000] 22500: [discriminator loss: 0.548815, acc: 0.679688] [adversarial loss: 1.145584, acc: 0.281250] 22501: [discriminator loss: 0.518242, acc: 0.710938] [adversarial loss: 1.232199, acc: 0.171875] 22502: [discriminator loss: 0.529512, acc: 0.710938] [adversarial loss: 1.072120, acc: 0.312500] 22503: [discriminator loss: 0.448995, acc: 0.812500] [adversarial loss: 1.290215, acc: 0.156250] 22504: [discriminator loss: 0.486921, acc: 0.750000] [adversarial loss: 1.348814, acc: 0.218750] 22505: [discriminator loss: 0.515075, acc: 0.750000] [adversarial loss: 1.087452, acc: 0.328125] 22506: [discriminator loss: 0.608420, acc: 0.671875] [adversarial loss: 1.284827, acc: 0.218750] 22507: [discriminator loss: 0.530522, acc: 0.671875] [adversarial loss: 0.943167, acc: 0.468750] 22508: [discriminator loss: 0.581919, acc: 0.726562] [adversarial loss: 1.214641, acc: 0.203125] 22509: [discriminator loss: 0.447879, acc: 0.773438] [adversarial loss: 1.161503, acc: 0.234375] 22510: [discriminator loss: 0.487634, acc: 0.703125] [adversarial loss: 1.048779, acc: 0.296875] 22511: [discriminator loss: 0.512471, acc: 0.742188] [adversarial loss: 1.750801, acc: 0.031250] 22512: [discriminator loss: 0.575395, acc: 0.687500] [adversarial loss: 0.680258, acc: 0.593750] 22513: [discriminator loss: 0.630492, acc: 0.679688] [adversarial loss: 1.852066, acc: 0.062500] 22514: [discriminator loss: 0.587658, acc: 0.632812] [adversarial loss: 0.859782, acc: 0.453125] 22515: [discriminator loss: 0.504385, acc: 0.757812] [adversarial loss: 1.599752, acc: 0.125000] 22516: [discriminator loss: 0.522813, acc: 0.726562] [adversarial loss: 1.110102, acc: 0.343750] 22517: [discriminator loss: 0.586205, acc: 0.718750] [adversarial loss: 1.326264, acc: 0.203125] 22518: [discriminator loss: 0.587700, acc: 0.718750] [adversarial loss: 1.228227, acc: 0.187500] 22519: [discriminator loss: 0.521163, acc: 0.726562] [adversarial loss: 1.119016, acc: 0.312500] 22520: [discriminator loss: 0.525548, acc: 0.726562] [adversarial loss: 1.385304, acc: 0.125000] 22521: [discriminator loss: 0.525438, acc: 0.718750] [adversarial loss: 1.364192, acc: 0.187500] 22522: [discriminator loss: 0.505108, acc: 0.734375] [adversarial loss: 1.083258, acc: 0.328125] 22523: [discriminator loss: 0.539157, acc: 0.718750] [adversarial loss: 1.385139, acc: 0.187500] 22524: [discriminator loss: 0.427230, acc: 0.835938] [adversarial loss: 1.026097, acc: 0.328125] 22525: [discriminator loss: 0.539232, acc: 0.695312] [adversarial loss: 1.615873, acc: 0.093750] 22526: [discriminator loss: 0.540580, acc: 0.710938] [adversarial loss: 0.983989, acc: 0.390625] 22527: [discriminator loss: 0.555027, acc: 0.687500] [adversarial loss: 1.571948, acc: 0.109375] 22528: [discriminator loss: 0.608764, acc: 0.617188] [adversarial loss: 0.759415, acc: 0.531250] 22529: [discriminator loss: 0.533553, acc: 0.726562] [adversarial loss: 1.515996, acc: 0.093750] 22530: [discriminator loss: 0.530777, acc: 0.695312] [adversarial loss: 0.966307, acc: 0.390625] 22531: [discriminator loss: 0.527365, acc: 0.757812] [adversarial loss: 1.517980, acc: 0.156250] 22532: [discriminator loss: 0.570791, acc: 0.695312] [adversarial loss: 1.125714, acc: 0.296875] 22533: [discriminator loss: 0.500766, acc: 0.796875] [adversarial loss: 1.222136, acc: 0.296875] 22534: [discriminator loss: 0.595827, acc: 0.687500] [adversarial loss: 0.993338, acc: 0.296875] 22535: [discriminator loss: 0.535234, acc: 0.734375] [adversarial loss: 1.749761, acc: 0.078125] 22536: [discriminator loss: 0.541524, acc: 0.687500] [adversarial loss: 1.085039, acc: 0.390625] 22537: [discriminator loss: 0.498658, acc: 0.742188] [adversarial loss: 1.409439, acc: 0.140625] 22538: [discriminator loss: 0.566764, acc: 0.703125] [adversarial loss: 1.065687, acc: 0.296875] 22539: [discriminator loss: 0.552683, acc: 0.664062] [adversarial loss: 1.664697, acc: 0.078125] 22540: [discriminator loss: 0.541117, acc: 0.718750] [adversarial loss: 0.919516, acc: 0.406250] 22541: [discriminator loss: 0.557932, acc: 0.703125] [adversarial loss: 1.757529, acc: 0.093750] 22542: [discriminator loss: 0.558209, acc: 0.703125] [adversarial loss: 1.026558, acc: 0.406250] 22543: [discriminator loss: 0.533616, acc: 0.765625] [adversarial loss: 1.706081, acc: 0.093750] 22544: [discriminator loss: 0.541797, acc: 0.679688] [adversarial loss: 1.103609, acc: 0.359375] 22545: [discriminator loss: 0.451886, acc: 0.796875] [adversarial loss: 1.362253, acc: 0.156250] 22546: [discriminator loss: 0.625663, acc: 0.632812] [adversarial loss: 1.313482, acc: 0.203125] 22547: [discriminator loss: 0.490800, acc: 0.757812] [adversarial loss: 1.279605, acc: 0.187500] 22548: [discriminator loss: 0.544391, acc: 0.710938] [adversarial loss: 1.062523, acc: 0.421875] 22549: [discriminator loss: 0.536031, acc: 0.765625] [adversarial loss: 1.447048, acc: 0.156250] 22550: [discriminator loss: 0.665562, acc: 0.601562] [adversarial loss: 0.944834, acc: 0.390625] 22551: [discriminator loss: 0.502010, acc: 0.765625] [adversarial loss: 1.374532, acc: 0.234375] 22552: [discriminator loss: 0.554298, acc: 0.695312] [adversarial loss: 1.000998, acc: 0.328125] 22553: [discriminator loss: 0.578359, acc: 0.734375] [adversarial loss: 1.387106, acc: 0.187500] 22554: [discriminator loss: 0.515839, acc: 0.742188] [adversarial loss: 0.849224, acc: 0.484375] 22555: [discriminator loss: 0.563674, acc: 0.671875] [adversarial loss: 1.069308, acc: 0.265625] 22556: [discriminator loss: 0.500783, acc: 0.773438] [adversarial loss: 0.997317, acc: 0.406250] 22557: [discriminator loss: 0.490326, acc: 0.781250] [adversarial loss: 1.325878, acc: 0.218750] 22558: [discriminator loss: 0.552936, acc: 0.726562] [adversarial loss: 1.468188, acc: 0.171875] 22559: [discriminator loss: 0.547461, acc: 0.718750] [adversarial loss: 0.945432, acc: 0.437500] 22560: [discriminator loss: 0.492646, acc: 0.742188] [adversarial loss: 1.341472, acc: 0.187500] 22561: [discriminator loss: 0.489657, acc: 0.750000] [adversarial loss: 1.021067, acc: 0.343750] 22562: [discriminator loss: 0.481480, acc: 0.781250] [adversarial loss: 1.424512, acc: 0.234375] 22563: [discriminator loss: 0.559301, acc: 0.726562] [adversarial loss: 1.093896, acc: 0.328125] 22564: [discriminator loss: 0.548599, acc: 0.695312] [adversarial loss: 1.298449, acc: 0.218750] 22565: [discriminator loss: 0.535343, acc: 0.757812] [adversarial loss: 0.804022, acc: 0.453125] 22566: [discriminator loss: 0.566837, acc: 0.726562] [adversarial loss: 1.723671, acc: 0.109375] 22567: [discriminator loss: 0.586503, acc: 0.695312] [adversarial loss: 0.721002, acc: 0.531250] 22568: [discriminator loss: 0.582993, acc: 0.625000] [adversarial loss: 1.403453, acc: 0.187500] 22569: [discriminator loss: 0.485293, acc: 0.742188] [adversarial loss: 0.882344, acc: 0.359375] 22570: [discriminator loss: 0.484566, acc: 0.742188] [adversarial loss: 1.127466, acc: 0.296875] 22571: [discriminator loss: 0.588611, acc: 0.671875] [adversarial loss: 1.125403, acc: 0.234375] 22572: [discriminator loss: 0.531016, acc: 0.726562] [adversarial loss: 1.172167, acc: 0.250000] 22573: [discriminator loss: 0.510812, acc: 0.718750] [adversarial loss: 1.077686, acc: 0.234375] 22574: [discriminator loss: 0.557013, acc: 0.695312] [adversarial loss: 1.346416, acc: 0.203125] 22575: [discriminator loss: 0.543421, acc: 0.718750] [adversarial loss: 0.957419, acc: 0.406250] 22576: [discriminator loss: 0.516026, acc: 0.750000] [adversarial loss: 1.142327, acc: 0.218750] 22577: [discriminator loss: 0.486299, acc: 0.765625] [adversarial loss: 1.153042, acc: 0.218750] 22578: [discriminator loss: 0.450948, acc: 0.773438] [adversarial loss: 1.402073, acc: 0.140625] 22579: [discriminator loss: 0.548864, acc: 0.710938] [adversarial loss: 0.826048, acc: 0.500000] 22580: [discriminator loss: 0.628058, acc: 0.648438] [adversarial loss: 1.841489, acc: 0.062500] 22581: [discriminator loss: 0.605330, acc: 0.687500] [adversarial loss: 0.710717, acc: 0.578125] 22582: [discriminator loss: 0.540471, acc: 0.718750] [adversarial loss: 1.565363, acc: 0.140625] 22583: [discriminator loss: 0.492124, acc: 0.750000] [adversarial loss: 0.887438, acc: 0.421875] 22584: [discriminator loss: 0.495744, acc: 0.750000] [adversarial loss: 1.263468, acc: 0.218750] 22585: [discriminator loss: 0.508357, acc: 0.742188] [adversarial loss: 0.896945, acc: 0.437500] 22586: [discriminator loss: 0.578965, acc: 0.695312] [adversarial loss: 1.385971, acc: 0.203125] 22587: [discriminator loss: 0.507624, acc: 0.687500] [adversarial loss: 1.116402, acc: 0.296875] 22588: [discriminator loss: 0.517953, acc: 0.757812] [adversarial loss: 1.567635, acc: 0.093750] 22589: [discriminator loss: 0.552725, acc: 0.742188] [adversarial loss: 1.254009, acc: 0.265625] 22590: [discriminator loss: 0.577328, acc: 0.671875] [adversarial loss: 1.215776, acc: 0.296875] 22591: [discriminator loss: 0.524431, acc: 0.734375] [adversarial loss: 1.015798, acc: 0.359375] 22592: [discriminator loss: 0.506420, acc: 0.718750] [adversarial loss: 1.367862, acc: 0.203125] 22593: [discriminator loss: 0.527301, acc: 0.703125] [adversarial loss: 1.097642, acc: 0.250000] 22594: [discriminator loss: 0.532691, acc: 0.734375] [adversarial loss: 1.216506, acc: 0.265625] 22595: [discriminator loss: 0.517662, acc: 0.734375] [adversarial loss: 1.070960, acc: 0.281250] 22596: [discriminator loss: 0.484951, acc: 0.734375] [adversarial loss: 0.909916, acc: 0.468750] 22597: [discriminator loss: 0.497893, acc: 0.773438] [adversarial loss: 1.003971, acc: 0.359375] 22598: [discriminator loss: 0.558802, acc: 0.710938] [adversarial loss: 1.379105, acc: 0.156250] 22599: [discriminator loss: 0.520227, acc: 0.718750] [adversarial loss: 1.079887, acc: 0.375000] 22600: [discriminator loss: 0.503870, acc: 0.718750] [adversarial loss: 1.186732, acc: 0.312500] 22601: [discriminator loss: 0.496838, acc: 0.757812] [adversarial loss: 1.308461, acc: 0.250000] 22602: [discriminator loss: 0.460813, acc: 0.765625] [adversarial loss: 1.278821, acc: 0.218750] 22603: [discriminator loss: 0.555082, acc: 0.695312] [adversarial loss: 0.944169, acc: 0.390625] 22604: [discriminator loss: 0.536051, acc: 0.679688] [adversarial loss: 1.990128, acc: 0.046875] 22605: [discriminator loss: 0.583383, acc: 0.648438] [adversarial loss: 0.762886, acc: 0.500000] 22606: [discriminator loss: 0.631612, acc: 0.656250] [adversarial loss: 1.466050, acc: 0.171875] 22607: [discriminator loss: 0.509685, acc: 0.710938] [adversarial loss: 0.808792, acc: 0.484375] 22608: [discriminator loss: 0.514696, acc: 0.703125] [adversarial loss: 1.537941, acc: 0.156250] 22609: [discriminator loss: 0.469875, acc: 0.765625] [adversarial loss: 0.925736, acc: 0.468750] 22610: [discriminator loss: 0.549691, acc: 0.734375] [adversarial loss: 1.343484, acc: 0.109375] 22611: [discriminator loss: 0.505239, acc: 0.757812] [adversarial loss: 1.352755, acc: 0.171875] 22612: [discriminator loss: 0.558958, acc: 0.703125] [adversarial loss: 1.509259, acc: 0.171875] 22613: [discriminator loss: 0.558464, acc: 0.742188] [adversarial loss: 1.251972, acc: 0.187500] 22614: [discriminator loss: 0.562770, acc: 0.671875] [adversarial loss: 1.410033, acc: 0.109375] 22615: [discriminator loss: 0.537988, acc: 0.718750] [adversarial loss: 1.211172, acc: 0.203125] 22616: [discriminator loss: 0.521615, acc: 0.710938] [adversarial loss: 0.983698, acc: 0.375000] 22617: [discriminator loss: 0.568318, acc: 0.703125] [adversarial loss: 1.530722, acc: 0.140625] 22618: [discriminator loss: 0.543399, acc: 0.742188] [adversarial loss: 0.792263, acc: 0.593750] 22619: [discriminator loss: 0.615718, acc: 0.695312] [adversarial loss: 1.771109, acc: 0.078125] 22620: [discriminator loss: 0.600946, acc: 0.679688] [adversarial loss: 0.836551, acc: 0.546875] 22621: [discriminator loss: 0.696995, acc: 0.625000] [adversarial loss: 1.693647, acc: 0.125000] 22622: [discriminator loss: 0.583094, acc: 0.640625] [adversarial loss: 0.909556, acc: 0.531250] 22623: [discriminator loss: 0.539362, acc: 0.742188] [adversarial loss: 1.470376, acc: 0.093750] 22624: [discriminator loss: 0.594566, acc: 0.679688] [adversarial loss: 0.859387, acc: 0.531250] 22625: [discriminator loss: 0.617396, acc: 0.664062] [adversarial loss: 1.627109, acc: 0.125000] 22626: [discriminator loss: 0.505412, acc: 0.695312] [adversarial loss: 1.139179, acc: 0.296875] 22627: [discriminator loss: 0.571554, acc: 0.687500] [adversarial loss: 1.313882, acc: 0.250000] 22628: [discriminator loss: 0.578296, acc: 0.695312] [adversarial loss: 1.165059, acc: 0.296875] 22629: [discriminator loss: 0.459923, acc: 0.804688] [adversarial loss: 1.122029, acc: 0.281250] 22630: [discriminator loss: 0.538935, acc: 0.773438] [adversarial loss: 1.423237, acc: 0.171875] 22631: [discriminator loss: 0.530703, acc: 0.695312] [adversarial loss: 0.958929, acc: 0.375000] 22632: [discriminator loss: 0.479780, acc: 0.757812] [adversarial loss: 1.477785, acc: 0.140625] 22633: [discriminator loss: 0.547199, acc: 0.703125] [adversarial loss: 1.033019, acc: 0.375000] 22634: [discriminator loss: 0.537090, acc: 0.726562] [adversarial loss: 1.487017, acc: 0.125000] 22635: [discriminator loss: 0.491993, acc: 0.765625] [adversarial loss: 1.053450, acc: 0.328125] 22636: [discriminator loss: 0.585904, acc: 0.687500] [adversarial loss: 1.515041, acc: 0.109375] 22637: [discriminator loss: 0.541714, acc: 0.695312] [adversarial loss: 0.942068, acc: 0.390625] 22638: [discriminator loss: 0.553252, acc: 0.671875] [adversarial loss: 1.580879, acc: 0.109375] 22639: [discriminator loss: 0.597555, acc: 0.664062] [adversarial loss: 0.834675, acc: 0.468750] 22640: [discriminator loss: 0.576092, acc: 0.671875] [adversarial loss: 1.583418, acc: 0.078125] 22641: [discriminator loss: 0.590278, acc: 0.625000] [adversarial loss: 0.890033, acc: 0.453125] 22642: [discriminator loss: 0.593731, acc: 0.695312] [adversarial loss: 1.323099, acc: 0.140625] 22643: [discriminator loss: 0.549872, acc: 0.671875] [adversarial loss: 0.991533, acc: 0.328125] 22644: [discriminator loss: 0.549824, acc: 0.734375] [adversarial loss: 1.252240, acc: 0.171875] 22645: [discriminator loss: 0.535655, acc: 0.710938] [adversarial loss: 0.945016, acc: 0.375000] 22646: [discriminator loss: 0.509610, acc: 0.742188] [adversarial loss: 1.212789, acc: 0.171875] 22647: [discriminator loss: 0.510068, acc: 0.695312] [adversarial loss: 1.077849, acc: 0.390625] 22648: [discriminator loss: 0.546178, acc: 0.671875] [adversarial loss: 1.259089, acc: 0.187500] 22649: [discriminator loss: 0.535515, acc: 0.710938] [adversarial loss: 1.149351, acc: 0.296875] 22650: [discriminator loss: 0.517193, acc: 0.710938] [adversarial loss: 1.306184, acc: 0.218750] 22651: [discriminator loss: 0.545074, acc: 0.718750] [adversarial loss: 0.851171, acc: 0.593750] 22652: [discriminator loss: 0.534785, acc: 0.757812] [adversarial loss: 1.442639, acc: 0.156250] 22653: [discriminator loss: 0.562294, acc: 0.687500] [adversarial loss: 0.856172, acc: 0.453125] 22654: [discriminator loss: 0.502857, acc: 0.718750] [adversarial loss: 1.268695, acc: 0.187500] 22655: [discriminator loss: 0.540710, acc: 0.687500] [adversarial loss: 1.246424, acc: 0.296875] 22656: [discriminator loss: 0.558398, acc: 0.734375] [adversarial loss: 1.078751, acc: 0.328125] 22657: [discriminator loss: 0.551084, acc: 0.710938] [adversarial loss: 1.331682, acc: 0.187500] 22658: [discriminator loss: 0.595894, acc: 0.718750] [adversarial loss: 0.945638, acc: 0.437500] 22659: [discriminator loss: 0.539483, acc: 0.757812] [adversarial loss: 1.431068, acc: 0.109375] 22660: [discriminator loss: 0.556173, acc: 0.703125] [adversarial loss: 1.155484, acc: 0.296875] 22661: [discriminator loss: 0.615601, acc: 0.664062] [adversarial loss: 1.290303, acc: 0.156250] 22662: [discriminator loss: 0.492659, acc: 0.765625] [adversarial loss: 0.826857, acc: 0.468750] 22663: [discriminator loss: 0.504277, acc: 0.789062] [adversarial loss: 1.194274, acc: 0.218750] 22664: [discriminator loss: 0.495697, acc: 0.757812] [adversarial loss: 0.952228, acc: 0.359375] 22665: [discriminator loss: 0.656483, acc: 0.664062] [adversarial loss: 1.383031, acc: 0.125000] 22666: [discriminator loss: 0.517485, acc: 0.742188] [adversarial loss: 1.055716, acc: 0.281250] 22667: [discriminator loss: 0.519112, acc: 0.710938] [adversarial loss: 1.829319, acc: 0.062500] 22668: [discriminator loss: 0.595594, acc: 0.695312] [adversarial loss: 0.904167, acc: 0.421875] 22669: [discriminator loss: 0.563822, acc: 0.734375] [adversarial loss: 1.697520, acc: 0.093750] 22670: [discriminator loss: 0.545652, acc: 0.726562] [adversarial loss: 0.804476, acc: 0.531250] 22671: [discriminator loss: 0.590911, acc: 0.734375] [adversarial loss: 1.541628, acc: 0.078125] 22672: [discriminator loss: 0.523599, acc: 0.765625] [adversarial loss: 1.052841, acc: 0.343750] 22673: [discriminator loss: 0.603121, acc: 0.695312] [adversarial loss: 1.384565, acc: 0.203125] 22674: [discriminator loss: 0.486805, acc: 0.781250] [adversarial loss: 0.992589, acc: 0.359375] 22675: [discriminator loss: 0.568965, acc: 0.742188] [adversarial loss: 1.347446, acc: 0.218750] 22676: [discriminator loss: 0.699870, acc: 0.593750] [adversarial loss: 0.938839, acc: 0.437500] 22677: [discriminator loss: 0.558727, acc: 0.726562] [adversarial loss: 1.319523, acc: 0.218750] 22678: [discriminator loss: 0.529484, acc: 0.734375] [adversarial loss: 1.036916, acc: 0.390625] 22679: [discriminator loss: 0.578826, acc: 0.703125] [adversarial loss: 1.534306, acc: 0.078125] 22680: [discriminator loss: 0.613913, acc: 0.671875] [adversarial loss: 0.919166, acc: 0.453125] 22681: [discriminator loss: 0.586630, acc: 0.687500] [adversarial loss: 1.481974, acc: 0.093750] 22682: [discriminator loss: 0.571385, acc: 0.734375] [adversarial loss: 0.896328, acc: 0.453125] 22683: [discriminator loss: 0.568854, acc: 0.695312] [adversarial loss: 1.489960, acc: 0.093750] 22684: [discriminator loss: 0.573541, acc: 0.679688] [adversarial loss: 0.774564, acc: 0.562500] 22685: [discriminator loss: 0.604984, acc: 0.695312] [adversarial loss: 1.402513, acc: 0.140625] 22686: [discriminator loss: 0.534827, acc: 0.726562] [adversarial loss: 1.024918, acc: 0.359375] 22687: [discriminator loss: 0.578078, acc: 0.726562] [adversarial loss: 1.535690, acc: 0.171875] 22688: [discriminator loss: 0.500811, acc: 0.789062] [adversarial loss: 1.108895, acc: 0.281250] 22689: [discriminator loss: 0.584956, acc: 0.664062] [adversarial loss: 1.294065, acc: 0.187500] 22690: [discriminator loss: 0.592209, acc: 0.664062] [adversarial loss: 1.235799, acc: 0.265625] 22691: [discriminator loss: 0.530464, acc: 0.773438] [adversarial loss: 0.919657, acc: 0.421875] 22692: [discriminator loss: 0.566864, acc: 0.703125] [adversarial loss: 1.271342, acc: 0.250000] 22693: [discriminator loss: 0.515769, acc: 0.773438] [adversarial loss: 1.068425, acc: 0.406250] 22694: [discriminator loss: 0.614162, acc: 0.679688] [adversarial loss: 1.388593, acc: 0.140625] 22695: [discriminator loss: 0.538417, acc: 0.703125] [adversarial loss: 1.124199, acc: 0.375000] 22696: [discriminator loss: 0.528272, acc: 0.710938] [adversarial loss: 0.955785, acc: 0.437500] 22697: [discriminator loss: 0.596725, acc: 0.656250] [adversarial loss: 1.490565, acc: 0.109375] 22698: [discriminator loss: 0.573623, acc: 0.695312] [adversarial loss: 0.718088, acc: 0.562500] 22699: [discriminator loss: 0.614464, acc: 0.656250] [adversarial loss: 1.509261, acc: 0.109375] 22700: [discriminator loss: 0.520821, acc: 0.710938] [adversarial loss: 1.276281, acc: 0.250000] 22701: [discriminator loss: 0.549386, acc: 0.695312] [adversarial loss: 1.221189, acc: 0.218750] 22702: [discriminator loss: 0.534762, acc: 0.726562] [adversarial loss: 1.025163, acc: 0.390625] 22703: [discriminator loss: 0.502902, acc: 0.734375] [adversarial loss: 1.277902, acc: 0.156250] 22704: [discriminator loss: 0.519298, acc: 0.757812] [adversarial loss: 1.042865, acc: 0.265625] 22705: [discriminator loss: 0.528247, acc: 0.734375] [adversarial loss: 1.077381, acc: 0.343750] 22706: [discriminator loss: 0.593556, acc: 0.664062] [adversarial loss: 1.180540, acc: 0.250000] 22707: [discriminator loss: 0.540604, acc: 0.710938] [adversarial loss: 1.168402, acc: 0.203125] 22708: [discriminator loss: 0.552916, acc: 0.703125] [adversarial loss: 0.877338, acc: 0.343750] 22709: [discriminator loss: 0.600561, acc: 0.718750] [adversarial loss: 1.801277, acc: 0.062500] 22710: [discriminator loss: 0.525571, acc: 0.718750] [adversarial loss: 0.855437, acc: 0.515625] 22711: [discriminator loss: 0.531993, acc: 0.710938] [adversarial loss: 1.349086, acc: 0.234375] 22712: [discriminator loss: 0.582207, acc: 0.695312] [adversarial loss: 1.008509, acc: 0.250000] 22713: [discriminator loss: 0.556988, acc: 0.710938] [adversarial loss: 1.529152, acc: 0.093750] 22714: [discriminator loss: 0.521841, acc: 0.671875] [adversarial loss: 0.742193, acc: 0.500000] 22715: [discriminator loss: 0.548590, acc: 0.710938] [adversarial loss: 1.370948, acc: 0.156250] 22716: [discriminator loss: 0.573144, acc: 0.679688] [adversarial loss: 0.863490, acc: 0.453125] 22717: [discriminator loss: 0.606294, acc: 0.656250] [adversarial loss: 1.485332, acc: 0.078125] 22718: [discriminator loss: 0.513649, acc: 0.718750] [adversarial loss: 1.080903, acc: 0.390625] 22719: [discriminator loss: 0.503697, acc: 0.742188] [adversarial loss: 1.087066, acc: 0.250000] 22720: [discriminator loss: 0.633319, acc: 0.671875] [adversarial loss: 1.022908, acc: 0.406250] 22721: [discriminator loss: 0.492612, acc: 0.757812] [adversarial loss: 0.932145, acc: 0.437500] 22722: [discriminator loss: 0.624583, acc: 0.632812] [adversarial loss: 1.400428, acc: 0.203125] 22723: [discriminator loss: 0.493043, acc: 0.750000] [adversarial loss: 1.016052, acc: 0.421875] 22724: [discriminator loss: 0.556987, acc: 0.695312] [adversarial loss: 1.087632, acc: 0.375000] 22725: [discriminator loss: 0.544818, acc: 0.726562] [adversarial loss: 1.232637, acc: 0.296875] 22726: [discriminator loss: 0.527602, acc: 0.734375] [adversarial loss: 0.840290, acc: 0.484375] 22727: [discriminator loss: 0.584333, acc: 0.710938] [adversarial loss: 1.782938, acc: 0.093750] 22728: [discriminator loss: 0.564811, acc: 0.679688] [adversarial loss: 1.080941, acc: 0.250000] 22729: [discriminator loss: 0.530589, acc: 0.789062] [adversarial loss: 1.445753, acc: 0.187500] 22730: [discriminator loss: 0.554148, acc: 0.695312] [adversarial loss: 0.969462, acc: 0.453125] 22731: [discriminator loss: 0.522376, acc: 0.734375] [adversarial loss: 1.569636, acc: 0.171875] 22732: [discriminator loss: 0.471396, acc: 0.773438] [adversarial loss: 1.108232, acc: 0.343750] 22733: [discriminator loss: 0.516396, acc: 0.703125] [adversarial loss: 1.247903, acc: 0.296875] 22734: [discriminator loss: 0.533936, acc: 0.718750] [adversarial loss: 1.373783, acc: 0.171875] 22735: [discriminator loss: 0.522861, acc: 0.710938] [adversarial loss: 1.050719, acc: 0.328125] 22736: [discriminator loss: 0.567416, acc: 0.687500] [adversarial loss: 1.343391, acc: 0.218750] 22737: [discriminator loss: 0.599590, acc: 0.640625] [adversarial loss: 1.011920, acc: 0.437500] 22738: [discriminator loss: 0.602525, acc: 0.640625] [adversarial loss: 1.248611, acc: 0.218750] 22739: [discriminator loss: 0.527788, acc: 0.695312] [adversarial loss: 0.980451, acc: 0.421875] 22740: [discriminator loss: 0.553966, acc: 0.726562] [adversarial loss: 1.449332, acc: 0.109375] 22741: [discriminator loss: 0.556930, acc: 0.695312] [adversarial loss: 1.045799, acc: 0.375000] 22742: [discriminator loss: 0.613542, acc: 0.710938] [adversarial loss: 1.638636, acc: 0.093750] 22743: [discriminator loss: 0.563214, acc: 0.664062] [adversarial loss: 0.881361, acc: 0.453125] 22744: [discriminator loss: 0.590424, acc: 0.742188] [adversarial loss: 1.428914, acc: 0.156250] 22745: [discriminator loss: 0.515112, acc: 0.718750] [adversarial loss: 0.990759, acc: 0.406250] 22746: [discriminator loss: 0.510497, acc: 0.734375] [adversarial loss: 1.257667, acc: 0.281250] 22747: [discriminator loss: 0.587615, acc: 0.625000] [adversarial loss: 1.234024, acc: 0.125000] 22748: [discriminator loss: 0.508242, acc: 0.773438] [adversarial loss: 1.237696, acc: 0.203125] 22749: [discriminator loss: 0.584182, acc: 0.656250] [adversarial loss: 0.958198, acc: 0.312500] 22750: [discriminator loss: 0.515411, acc: 0.734375] [adversarial loss: 1.332581, acc: 0.140625] 22751: [discriminator loss: 0.587876, acc: 0.679688] [adversarial loss: 1.051412, acc: 0.359375] 22752: [discriminator loss: 0.526355, acc: 0.734375] [adversarial loss: 1.438238, acc: 0.093750] 22753: [discriminator loss: 0.578996, acc: 0.664062] [adversarial loss: 0.783298, acc: 0.515625] 22754: [discriminator loss: 0.542276, acc: 0.742188] [adversarial loss: 1.161490, acc: 0.328125] 22755: [discriminator loss: 0.508425, acc: 0.710938] [adversarial loss: 1.083674, acc: 0.359375] 22756: [discriminator loss: 0.538983, acc: 0.710938] [adversarial loss: 1.390592, acc: 0.109375] 22757: [discriminator loss: 0.507970, acc: 0.757812] [adversarial loss: 0.974135, acc: 0.328125] 22758: [discriminator loss: 0.503205, acc: 0.750000] [adversarial loss: 1.293553, acc: 0.171875] 22759: [discriminator loss: 0.548473, acc: 0.695312] [adversarial loss: 1.005784, acc: 0.375000] 22760: [discriminator loss: 0.467571, acc: 0.757812] [adversarial loss: 1.211605, acc: 0.281250] 22761: [discriminator loss: 0.548383, acc: 0.695312] [adversarial loss: 1.225899, acc: 0.234375] 22762: [discriminator loss: 0.528409, acc: 0.710938] [adversarial loss: 0.847408, acc: 0.515625] 22763: [discriminator loss: 0.547561, acc: 0.734375] [adversarial loss: 1.535746, acc: 0.140625] 22764: [discriminator loss: 0.572168, acc: 0.687500] [adversarial loss: 0.713425, acc: 0.531250] 22765: [discriminator loss: 0.640995, acc: 0.632812] [adversarial loss: 1.778300, acc: 0.109375] 22766: [discriminator loss: 0.592187, acc: 0.695312] [adversarial loss: 0.879583, acc: 0.468750] 22767: [discriminator loss: 0.608700, acc: 0.656250] [adversarial loss: 1.564403, acc: 0.093750] 22768: [discriminator loss: 0.578251, acc: 0.687500] [adversarial loss: 1.030499, acc: 0.296875] 22769: [discriminator loss: 0.553391, acc: 0.718750] [adversarial loss: 1.323056, acc: 0.203125] 22770: [discriminator loss: 0.614122, acc: 0.656250] [adversarial loss: 1.036630, acc: 0.281250] 22771: [discriminator loss: 0.582172, acc: 0.695312] [adversarial loss: 1.116008, acc: 0.265625] 22772: [discriminator loss: 0.489132, acc: 0.765625] [adversarial loss: 1.331415, acc: 0.187500] 22773: [discriminator loss: 0.437520, acc: 0.796875] [adversarial loss: 1.183505, acc: 0.250000] 22774: [discriminator loss: 0.538015, acc: 0.695312] [adversarial loss: 1.114722, acc: 0.343750] 22775: [discriminator loss: 0.506188, acc: 0.757812] [adversarial loss: 1.267577, acc: 0.265625] 22776: [discriminator loss: 0.546324, acc: 0.703125] [adversarial loss: 1.120265, acc: 0.250000] 22777: [discriminator loss: 0.525173, acc: 0.734375] [adversarial loss: 1.144849, acc: 0.218750] 22778: [discriminator loss: 0.486037, acc: 0.734375] [adversarial loss: 1.518604, acc: 0.171875] 22779: [discriminator loss: 0.497422, acc: 0.734375] [adversarial loss: 0.899641, acc: 0.453125] 22780: [discriminator loss: 0.513587, acc: 0.750000] [adversarial loss: 1.338261, acc: 0.218750] 22781: [discriminator loss: 0.517796, acc: 0.773438] [adversarial loss: 0.988609, acc: 0.343750] 22782: [discriminator loss: 0.523851, acc: 0.789062] [adversarial loss: 1.111927, acc: 0.328125] 22783: [discriminator loss: 0.531773, acc: 0.750000] [adversarial loss: 1.052721, acc: 0.406250] 22784: [discriminator loss: 0.537758, acc: 0.734375] [adversarial loss: 1.386047, acc: 0.218750] 22785: [discriminator loss: 0.446351, acc: 0.789062] [adversarial loss: 1.095391, acc: 0.359375] 22786: [discriminator loss: 0.487905, acc: 0.742188] [adversarial loss: 1.424726, acc: 0.140625] 22787: [discriminator loss: 0.533400, acc: 0.726562] [adversarial loss: 0.820749, acc: 0.546875] 22788: [discriminator loss: 0.683919, acc: 0.640625] [adversarial loss: 2.170597, acc: 0.015625] 22789: [discriminator loss: 0.696303, acc: 0.593750] [adversarial loss: 0.627449, acc: 0.640625] 22790: [discriminator loss: 0.533473, acc: 0.734375] [adversarial loss: 1.727743, acc: 0.046875] 22791: [discriminator loss: 0.545685, acc: 0.734375] [adversarial loss: 1.026873, acc: 0.343750] 22792: [discriminator loss: 0.499439, acc: 0.750000] [adversarial loss: 1.130442, acc: 0.234375] 22793: [discriminator loss: 0.474919, acc: 0.734375] [adversarial loss: 1.316415, acc: 0.156250] 22794: [discriminator loss: 0.518102, acc: 0.726562] [adversarial loss: 1.355290, acc: 0.234375] 22795: [discriminator loss: 0.574677, acc: 0.687500] [adversarial loss: 0.905639, acc: 0.390625] 22796: [discriminator loss: 0.524903, acc: 0.726562] [adversarial loss: 1.332148, acc: 0.171875] 22797: [discriminator loss: 0.517080, acc: 0.718750] [adversarial loss: 0.849170, acc: 0.531250] 22798: [discriminator loss: 0.605796, acc: 0.679688] [adversarial loss: 1.357495, acc: 0.187500] 22799: [discriminator loss: 0.537747, acc: 0.695312] [adversarial loss: 0.961047, acc: 0.390625] 22800: [discriminator loss: 0.562633, acc: 0.703125] [adversarial loss: 1.288907, acc: 0.156250] 22801: [discriminator loss: 0.495807, acc: 0.734375] [adversarial loss: 1.013728, acc: 0.359375] 22802: [discriminator loss: 0.492983, acc: 0.757812] [adversarial loss: 1.007523, acc: 0.312500] 22803: [discriminator loss: 0.530820, acc: 0.726562] [adversarial loss: 1.451878, acc: 0.093750] 22804: [discriminator loss: 0.499090, acc: 0.750000] [adversarial loss: 0.889642, acc: 0.468750] 22805: [discriminator loss: 0.559916, acc: 0.687500] [adversarial loss: 1.286725, acc: 0.218750] 22806: [discriminator loss: 0.546213, acc: 0.710938] [adversarial loss: 0.855906, acc: 0.468750] 22807: [discriminator loss: 0.530925, acc: 0.718750] [adversarial loss: 1.369413, acc: 0.187500] 22808: [discriminator loss: 0.495546, acc: 0.757812] [adversarial loss: 1.019246, acc: 0.359375] 22809: [discriminator loss: 0.496777, acc: 0.726562] [adversarial loss: 1.147464, acc: 0.281250] 22810: [discriminator loss: 0.600746, acc: 0.671875] [adversarial loss: 1.042430, acc: 0.343750] 22811: [discriminator loss: 0.526459, acc: 0.726562] [adversarial loss: 1.429005, acc: 0.218750] 22812: [discriminator loss: 0.563816, acc: 0.703125] [adversarial loss: 1.001676, acc: 0.375000] 22813: [discriminator loss: 0.633158, acc: 0.632812] [adversarial loss: 1.393638, acc: 0.187500] 22814: [discriminator loss: 0.524047, acc: 0.718750] [adversarial loss: 0.917234, acc: 0.421875] 22815: [discriminator loss: 0.640515, acc: 0.640625] [adversarial loss: 1.450614, acc: 0.171875] 22816: [discriminator loss: 0.587530, acc: 0.648438] [adversarial loss: 0.958007, acc: 0.453125] 22817: [discriminator loss: 0.583647, acc: 0.703125] [adversarial loss: 1.407752, acc: 0.171875] 22818: [discriminator loss: 0.526543, acc: 0.726562] [adversarial loss: 1.209550, acc: 0.265625] 22819: [discriminator loss: 0.538917, acc: 0.718750] [adversarial loss: 1.373697, acc: 0.156250] 22820: [discriminator loss: 0.511907, acc: 0.742188] [adversarial loss: 1.141548, acc: 0.281250] 22821: [discriminator loss: 0.518224, acc: 0.695312] [adversarial loss: 1.511405, acc: 0.171875] 22822: [discriminator loss: 0.526763, acc: 0.734375] [adversarial loss: 1.109923, acc: 0.296875] 22823: [discriminator loss: 0.541824, acc: 0.718750] [adversarial loss: 1.195799, acc: 0.265625] 22824: [discriminator loss: 0.519129, acc: 0.750000] [adversarial loss: 1.355925, acc: 0.125000] 22825: [discriminator loss: 0.556282, acc: 0.742188] [adversarial loss: 1.051048, acc: 0.265625] 22826: [discriminator loss: 0.528249, acc: 0.742188] [adversarial loss: 1.119670, acc: 0.312500] 22827: [discriminator loss: 0.576356, acc: 0.695312] [adversarial loss: 0.932743, acc: 0.312500] 22828: [discriminator loss: 0.554098, acc: 0.726562] [adversarial loss: 1.507116, acc: 0.125000] 22829: [discriminator loss: 0.594662, acc: 0.671875] [adversarial loss: 0.902352, acc: 0.453125] 22830: [discriminator loss: 0.609625, acc: 0.648438] [adversarial loss: 1.770740, acc: 0.093750] 22831: [discriminator loss: 0.589627, acc: 0.710938] [adversarial loss: 0.863869, acc: 0.453125] 22832: [discriminator loss: 0.515826, acc: 0.781250] [adversarial loss: 1.424170, acc: 0.125000] 22833: [discriminator loss: 0.520555, acc: 0.734375] [adversarial loss: 0.945542, acc: 0.421875] 22834: [discriminator loss: 0.521668, acc: 0.703125] [adversarial loss: 1.347694, acc: 0.171875] 22835: [discriminator loss: 0.535318, acc: 0.718750] [adversarial loss: 1.180798, acc: 0.250000] 22836: [discriminator loss: 0.491715, acc: 0.750000] [adversarial loss: 1.251308, acc: 0.250000] 22837: [discriminator loss: 0.496625, acc: 0.773438] [adversarial loss: 1.281107, acc: 0.156250] 22838: [discriminator loss: 0.515065, acc: 0.742188] [adversarial loss: 1.189093, acc: 0.234375] 22839: [discriminator loss: 0.454927, acc: 0.765625] [adversarial loss: 1.157903, acc: 0.203125] 22840: [discriminator loss: 0.527727, acc: 0.742188] [adversarial loss: 1.218814, acc: 0.218750] 22841: [discriminator loss: 0.536107, acc: 0.750000] [adversarial loss: 1.104448, acc: 0.265625] 22842: [discriminator loss: 0.581509, acc: 0.671875] [adversarial loss: 1.544588, acc: 0.078125] 22843: [discriminator loss: 0.528007, acc: 0.703125] [adversarial loss: 0.996805, acc: 0.468750] 22844: [discriminator loss: 0.562481, acc: 0.679688] [adversarial loss: 1.349302, acc: 0.125000] 22845: [discriminator loss: 0.543961, acc: 0.671875] [adversarial loss: 0.838231, acc: 0.484375] 22846: [discriminator loss: 0.509068, acc: 0.773438] [adversarial loss: 1.574378, acc: 0.187500] 22847: [discriminator loss: 0.507238, acc: 0.718750] [adversarial loss: 1.202419, acc: 0.265625] 22848: [discriminator loss: 0.566273, acc: 0.695312] [adversarial loss: 1.289149, acc: 0.250000] 22849: [discriminator loss: 0.519083, acc: 0.734375] [adversarial loss: 1.085715, acc: 0.281250] 22850: [discriminator loss: 0.582999, acc: 0.687500] [adversarial loss: 1.584186, acc: 0.109375] 22851: [discriminator loss: 0.556539, acc: 0.734375] [adversarial loss: 1.011451, acc: 0.328125] 22852: [discriminator loss: 0.579220, acc: 0.664062] [adversarial loss: 1.268724, acc: 0.218750] 22853: [discriminator loss: 0.585232, acc: 0.726562] [adversarial loss: 0.839455, acc: 0.453125] 22854: [discriminator loss: 0.503812, acc: 0.734375] [adversarial loss: 1.507650, acc: 0.125000] 22855: [discriminator loss: 0.484285, acc: 0.773438] [adversarial loss: 0.837736, acc: 0.484375] 22856: [discriminator loss: 0.610922, acc: 0.750000] [adversarial loss: 1.289778, acc: 0.250000] 22857: [discriminator loss: 0.473152, acc: 0.750000] [adversarial loss: 1.010633, acc: 0.390625] 22858: [discriminator loss: 0.545422, acc: 0.765625] [adversarial loss: 1.412730, acc: 0.218750] 22859: [discriminator loss: 0.465902, acc: 0.742188] [adversarial loss: 0.911082, acc: 0.421875] 22860: [discriminator loss: 0.610669, acc: 0.664062] [adversarial loss: 1.614919, acc: 0.125000] 22861: [discriminator loss: 0.567877, acc: 0.671875] [adversarial loss: 0.934803, acc: 0.484375] 22862: [discriminator loss: 0.624305, acc: 0.648438] [adversarial loss: 1.725033, acc: 0.125000] 22863: [discriminator loss: 0.563034, acc: 0.703125] [adversarial loss: 1.037109, acc: 0.312500] 22864: [discriminator loss: 0.547762, acc: 0.695312] [adversarial loss: 1.214404, acc: 0.203125] 22865: [discriminator loss: 0.510242, acc: 0.781250] [adversarial loss: 1.048490, acc: 0.296875] 22866: [discriminator loss: 0.495467, acc: 0.757812] [adversarial loss: 1.483633, acc: 0.109375] 22867: [discriminator loss: 0.628457, acc: 0.671875] [adversarial loss: 0.641147, acc: 0.609375] 22868: [discriminator loss: 0.537648, acc: 0.734375] [adversarial loss: 1.704412, acc: 0.125000] 22869: [discriminator loss: 0.643470, acc: 0.640625] [adversarial loss: 1.047362, acc: 0.328125] 22870: [discriminator loss: 0.530653, acc: 0.742188] [adversarial loss: 1.585389, acc: 0.093750] 22871: [discriminator loss: 0.513150, acc: 0.750000] [adversarial loss: 1.297090, acc: 0.187500] 22872: [discriminator loss: 0.565143, acc: 0.703125] [adversarial loss: 1.288877, acc: 0.187500] 22873: [discriminator loss: 0.565366, acc: 0.687500] [adversarial loss: 1.029413, acc: 0.375000] 22874: [discriminator loss: 0.565814, acc: 0.703125] [adversarial loss: 1.437732, acc: 0.156250] 22875: [discriminator loss: 0.587003, acc: 0.710938] [adversarial loss: 0.909336, acc: 0.437500] 22876: [discriminator loss: 0.507456, acc: 0.757812] [adversarial loss: 1.069572, acc: 0.296875] 22877: [discriminator loss: 0.605318, acc: 0.609375] [adversarial loss: 1.408092, acc: 0.187500] 22878: [discriminator loss: 0.536325, acc: 0.710938] [adversarial loss: 1.030414, acc: 0.375000] 22879: [discriminator loss: 0.568795, acc: 0.710938] [adversarial loss: 1.332035, acc: 0.187500] 22880: [discriminator loss: 0.537629, acc: 0.742188] [adversarial loss: 1.150245, acc: 0.265625] 22881: [discriminator loss: 0.536756, acc: 0.734375] [adversarial loss: 1.432196, acc: 0.187500] 22882: [discriminator loss: 0.500710, acc: 0.742188] [adversarial loss: 0.894951, acc: 0.453125] 22883: [discriminator loss: 0.515211, acc: 0.726562] [adversarial loss: 1.505647, acc: 0.156250] 22884: [discriminator loss: 0.591681, acc: 0.718750] [adversarial loss: 0.879079, acc: 0.484375] 22885: [discriminator loss: 0.584473, acc: 0.703125] [adversarial loss: 1.289528, acc: 0.250000] 22886: [discriminator loss: 0.522467, acc: 0.726562] [adversarial loss: 0.835727, acc: 0.468750] 22887: [discriminator loss: 0.529669, acc: 0.773438] [adversarial loss: 1.236223, acc: 0.187500] 22888: [discriminator loss: 0.513028, acc: 0.742188] [adversarial loss: 1.180112, acc: 0.265625] 22889: [discriminator loss: 0.535893, acc: 0.757812] [adversarial loss: 1.109941, acc: 0.265625] 22890: [discriminator loss: 0.534340, acc: 0.703125] [adversarial loss: 1.070895, acc: 0.343750] 22891: [discriminator loss: 0.519376, acc: 0.718750] [adversarial loss: 0.950924, acc: 0.453125] 22892: [discriminator loss: 0.576667, acc: 0.687500] [adversarial loss: 1.507340, acc: 0.125000] 22893: [discriminator loss: 0.544371, acc: 0.710938] [adversarial loss: 0.889656, acc: 0.468750] 22894: [discriminator loss: 0.583715, acc: 0.687500] [adversarial loss: 1.889979, acc: 0.046875] 22895: [discriminator loss: 0.677642, acc: 0.632812] [adversarial loss: 0.773592, acc: 0.500000] 22896: [discriminator loss: 0.585964, acc: 0.718750] [adversarial loss: 1.447663, acc: 0.171875] 22897: [discriminator loss: 0.537677, acc: 0.718750] [adversarial loss: 0.889667, acc: 0.359375] 22898: [discriminator loss: 0.514546, acc: 0.750000] [adversarial loss: 1.480798, acc: 0.140625] 22899: [discriminator loss: 0.506964, acc: 0.750000] [adversarial loss: 0.975750, acc: 0.359375] 22900: [discriminator loss: 0.521665, acc: 0.789062] [adversarial loss: 1.388018, acc: 0.187500] 22901: [discriminator loss: 0.567439, acc: 0.695312] [adversarial loss: 0.917407, acc: 0.468750] 22902: [discriminator loss: 0.588941, acc: 0.734375] [adversarial loss: 1.531152, acc: 0.125000] 22903: [discriminator loss: 0.485635, acc: 0.742188] [adversarial loss: 1.097830, acc: 0.218750] 22904: [discriminator loss: 0.585178, acc: 0.734375] [adversarial loss: 1.299059, acc: 0.296875] 22905: [discriminator loss: 0.460940, acc: 0.828125] [adversarial loss: 1.109370, acc: 0.265625] 22906: [discriminator loss: 0.534030, acc: 0.718750] [adversarial loss: 1.183290, acc: 0.296875] 22907: [discriminator loss: 0.600366, acc: 0.695312] [adversarial loss: 1.154626, acc: 0.296875] 22908: [discriminator loss: 0.478595, acc: 0.765625] [adversarial loss: 1.924894, acc: 0.046875] 22909: [discriminator loss: 0.578324, acc: 0.679688] [adversarial loss: 1.191089, acc: 0.265625] 22910: [discriminator loss: 0.541612, acc: 0.703125] [adversarial loss: 1.279938, acc: 0.156250] 22911: [discriminator loss: 0.568807, acc: 0.671875] [adversarial loss: 1.087688, acc: 0.265625] 22912: [discriminator loss: 0.586944, acc: 0.695312] [adversarial loss: 1.291461, acc: 0.125000] 22913: [discriminator loss: 0.627775, acc: 0.679688] [adversarial loss: 0.799771, acc: 0.500000] 22914: [discriminator loss: 0.653045, acc: 0.648438] [adversarial loss: 1.673732, acc: 0.078125] 22915: [discriminator loss: 0.588924, acc: 0.664062] [adversarial loss: 0.912841, acc: 0.390625] 22916: [discriminator loss: 0.527454, acc: 0.695312] [adversarial loss: 1.307541, acc: 0.187500] 22917: [discriminator loss: 0.521515, acc: 0.734375] [adversarial loss: 1.265679, acc: 0.140625] 22918: [discriminator loss: 0.578104, acc: 0.632812] [adversarial loss: 0.947715, acc: 0.390625] 22919: [discriminator loss: 0.539724, acc: 0.703125] [adversarial loss: 1.174663, acc: 0.218750] 22920: [discriminator loss: 0.474824, acc: 0.796875] [adversarial loss: 1.072931, acc: 0.343750] 22921: [discriminator loss: 0.584996, acc: 0.687500] [adversarial loss: 1.180615, acc: 0.265625] 22922: [discriminator loss: 0.529905, acc: 0.726562] [adversarial loss: 1.047882, acc: 0.328125] 22923: [discriminator loss: 0.626676, acc: 0.710938] [adversarial loss: 1.407433, acc: 0.140625] 22924: [discriminator loss: 0.535674, acc: 0.703125] [adversarial loss: 1.266094, acc: 0.187500] 22925: [discriminator loss: 0.524397, acc: 0.726562] [adversarial loss: 1.157008, acc: 0.250000] 22926: [discriminator loss: 0.489866, acc: 0.742188] [adversarial loss: 1.154978, acc: 0.296875] 22927: [discriminator loss: 0.590705, acc: 0.664062] [adversarial loss: 1.256003, acc: 0.218750] 22928: [discriminator loss: 0.551925, acc: 0.734375] [adversarial loss: 0.579759, acc: 0.703125] 22929: [discriminator loss: 0.685891, acc: 0.625000] [adversarial loss: 1.981965, acc: 0.046875] 22930: [discriminator loss: 0.612464, acc: 0.679688] [adversarial loss: 1.023399, acc: 0.390625] 22931: [discriminator loss: 0.598027, acc: 0.664062] [adversarial loss: 1.374084, acc: 0.093750] 22932: [discriminator loss: 0.592932, acc: 0.671875] [adversarial loss: 1.041909, acc: 0.328125] 22933: [discriminator loss: 0.492412, acc: 0.781250] [adversarial loss: 1.199557, acc: 0.250000] 22934: [discriminator loss: 0.513508, acc: 0.789062] [adversarial loss: 0.978814, acc: 0.359375] 22935: [discriminator loss: 0.493740, acc: 0.750000] [adversarial loss: 1.276759, acc: 0.187500] 22936: [discriminator loss: 0.530796, acc: 0.757812] [adversarial loss: 0.958839, acc: 0.453125] 22937: [discriminator loss: 0.571500, acc: 0.703125] [adversarial loss: 1.355166, acc: 0.187500] 22938: [discriminator loss: 0.515984, acc: 0.757812] [adversarial loss: 1.319445, acc: 0.187500] 22939: [discriminator loss: 0.547569, acc: 0.734375] [adversarial loss: 1.108509, acc: 0.328125] 22940: [discriminator loss: 0.551205, acc: 0.750000] [adversarial loss: 0.898834, acc: 0.421875] 22941: [discriminator loss: 0.548094, acc: 0.695312] [adversarial loss: 1.151638, acc: 0.281250] 22942: [discriminator loss: 0.520565, acc: 0.765625] [adversarial loss: 1.087533, acc: 0.312500] 22943: [discriminator loss: 0.549771, acc: 0.742188] [adversarial loss: 1.371712, acc: 0.187500] 22944: [discriminator loss: 0.516140, acc: 0.726562] [adversarial loss: 0.951030, acc: 0.468750] 22945: [discriminator loss: 0.542386, acc: 0.703125] [adversarial loss: 1.552100, acc: 0.140625] 22946: [discriminator loss: 0.572034, acc: 0.703125] [adversarial loss: 1.060753, acc: 0.343750] 22947: [discriminator loss: 0.556415, acc: 0.710938] [adversarial loss: 1.259527, acc: 0.250000] 22948: [discriminator loss: 0.530005, acc: 0.687500] [adversarial loss: 0.875552, acc: 0.453125] 22949: [discriminator loss: 0.533165, acc: 0.710938] [adversarial loss: 1.192608, acc: 0.265625] 22950: [discriminator loss: 0.502285, acc: 0.750000] [adversarial loss: 0.991216, acc: 0.375000] 22951: [discriminator loss: 0.548434, acc: 0.687500] [adversarial loss: 1.511986, acc: 0.109375] 22952: [discriminator loss: 0.572986, acc: 0.671875] [adversarial loss: 1.028267, acc: 0.406250] 22953: [discriminator loss: 0.592000, acc: 0.687500] [adversarial loss: 1.954560, acc: 0.093750] 22954: [discriminator loss: 0.651722, acc: 0.640625] [adversarial loss: 1.139762, acc: 0.328125] 22955: [discriminator loss: 0.558937, acc: 0.664062] [adversarial loss: 1.284119, acc: 0.203125] 22956: [discriminator loss: 0.485186, acc: 0.789062] [adversarial loss: 1.200001, acc: 0.312500] 22957: [discriminator loss: 0.490630, acc: 0.750000] [adversarial loss: 1.199044, acc: 0.281250] 22958: [discriminator loss: 0.540976, acc: 0.671875] [adversarial loss: 1.049126, acc: 0.359375] 22959: [discriminator loss: 0.584875, acc: 0.703125] [adversarial loss: 1.545668, acc: 0.156250] 22960: [discriminator loss: 0.512826, acc: 0.710938] [adversarial loss: 1.202346, acc: 0.296875] 22961: [discriminator loss: 0.493486, acc: 0.781250] [adversarial loss: 1.117167, acc: 0.265625] 22962: [discriminator loss: 0.510648, acc: 0.757812] [adversarial loss: 1.299151, acc: 0.187500] 22963: [discriminator loss: 0.543482, acc: 0.679688] [adversarial loss: 1.169314, acc: 0.234375] 22964: [discriminator loss: 0.562663, acc: 0.679688] [adversarial loss: 1.135574, acc: 0.312500] 22965: [discriminator loss: 0.528547, acc: 0.718750] [adversarial loss: 1.135913, acc: 0.328125] 22966: [discriminator loss: 0.582829, acc: 0.695312] [adversarial loss: 1.067827, acc: 0.312500] 22967: [discriminator loss: 0.559964, acc: 0.703125] [adversarial loss: 1.374623, acc: 0.203125] 22968: [discriminator loss: 0.535543, acc: 0.671875] [adversarial loss: 0.822016, acc: 0.484375] 22969: [discriminator loss: 0.583533, acc: 0.718750] [adversarial loss: 1.716679, acc: 0.125000] 22970: [discriminator loss: 0.554238, acc: 0.671875] [adversarial loss: 0.989779, acc: 0.437500] 22971: [discriminator loss: 0.529694, acc: 0.734375] [adversarial loss: 1.477814, acc: 0.171875] 22972: [discriminator loss: 0.536585, acc: 0.734375] [adversarial loss: 0.806787, acc: 0.531250] 22973: [discriminator loss: 0.573906, acc: 0.664062] [adversarial loss: 1.771775, acc: 0.062500] 22974: [discriminator loss: 0.586635, acc: 0.703125] [adversarial loss: 1.126416, acc: 0.218750] 22975: [discriminator loss: 0.479683, acc: 0.750000] [adversarial loss: 1.404288, acc: 0.156250] 22976: [discriminator loss: 0.490737, acc: 0.789062] [adversarial loss: 1.019590, acc: 0.359375] 22977: [discriminator loss: 0.519816, acc: 0.687500] [adversarial loss: 1.439226, acc: 0.171875] 22978: [discriminator loss: 0.532943, acc: 0.726562] [adversarial loss: 1.231185, acc: 0.296875] 22979: [discriminator loss: 0.495350, acc: 0.757812] [adversarial loss: 1.528929, acc: 0.171875] 22980: [discriminator loss: 0.496183, acc: 0.734375] [adversarial loss: 1.280626, acc: 0.171875] 22981: [discriminator loss: 0.599711, acc: 0.640625] [adversarial loss: 0.841217, acc: 0.453125] 22982: [discriminator loss: 0.591403, acc: 0.695312] [adversarial loss: 1.672548, acc: 0.062500] 22983: [discriminator loss: 0.541730, acc: 0.679688] [adversarial loss: 0.775273, acc: 0.500000] 22984: [discriminator loss: 0.562070, acc: 0.734375] [adversarial loss: 1.622998, acc: 0.109375] 22985: [discriminator loss: 0.551584, acc: 0.734375] [adversarial loss: 1.069618, acc: 0.343750] 22986: [discriminator loss: 0.537715, acc: 0.710938] [adversarial loss: 1.335718, acc: 0.187500] 22987: [discriminator loss: 0.532005, acc: 0.710938] [adversarial loss: 0.840855, acc: 0.546875] 22988: [discriminator loss: 0.558482, acc: 0.710938] [adversarial loss: 1.663624, acc: 0.109375] 22989: [discriminator loss: 0.604608, acc: 0.648438] [adversarial loss: 0.613901, acc: 0.625000] 22990: [discriminator loss: 0.539230, acc: 0.703125] [adversarial loss: 1.510580, acc: 0.078125] 22991: [discriminator loss: 0.568948, acc: 0.687500] [adversarial loss: 1.040973, acc: 0.328125] 22992: [discriminator loss: 0.511196, acc: 0.781250] [adversarial loss: 1.331776, acc: 0.218750] 22993: [discriminator loss: 0.544817, acc: 0.687500] [adversarial loss: 1.074842, acc: 0.343750] 22994: [discriminator loss: 0.577096, acc: 0.703125] [adversarial loss: 1.028863, acc: 0.359375] 22995: [discriminator loss: 0.596787, acc: 0.687500] [adversarial loss: 0.994972, acc: 0.328125] 22996: [discriminator loss: 0.608014, acc: 0.640625] [adversarial loss: 1.539736, acc: 0.234375] 22997: [discriminator loss: 0.540956, acc: 0.734375] [adversarial loss: 0.954196, acc: 0.328125] 22998: [discriminator loss: 0.587016, acc: 0.695312] [adversarial loss: 1.482706, acc: 0.140625] 22999: [discriminator loss: 0.554455, acc: 0.710938] [adversarial loss: 1.122824, acc: 0.296875] 23000: [discriminator loss: 0.547202, acc: 0.726562] [adversarial loss: 1.303691, acc: 0.187500] 23001: [discriminator loss: 0.570712, acc: 0.671875] [adversarial loss: 0.869957, acc: 0.437500] 23002: [discriminator loss: 0.505085, acc: 0.734375] [adversarial loss: 1.328671, acc: 0.250000] 23003: [discriminator loss: 0.548444, acc: 0.687500] [adversarial loss: 0.905738, acc: 0.390625] 23004: [discriminator loss: 0.612525, acc: 0.625000] [adversarial loss: 1.600457, acc: 0.062500] 23005: [discriminator loss: 0.484222, acc: 0.804688] [adversarial loss: 0.899963, acc: 0.468750] 23006: [discriminator loss: 0.544245, acc: 0.687500] [adversarial loss: 1.117614, acc: 0.265625] 23007: [discriminator loss: 0.579495, acc: 0.656250] [adversarial loss: 1.031022, acc: 0.421875] 23008: [discriminator loss: 0.483237, acc: 0.820312] [adversarial loss: 1.160666, acc: 0.265625] 23009: [discriminator loss: 0.535267, acc: 0.742188] [adversarial loss: 1.074960, acc: 0.312500] 23010: [discriminator loss: 0.571277, acc: 0.679688] [adversarial loss: 1.175275, acc: 0.250000] 23011: [discriminator loss: 0.547208, acc: 0.726562] [adversarial loss: 1.293581, acc: 0.218750] 23012: [discriminator loss: 0.549801, acc: 0.703125] [adversarial loss: 0.972219, acc: 0.375000] 23013: [discriminator loss: 0.525874, acc: 0.718750] [adversarial loss: 1.656686, acc: 0.125000] 23014: [discriminator loss: 0.570487, acc: 0.687500] [adversarial loss: 0.923290, acc: 0.453125] 23015: [discriminator loss: 0.587400, acc: 0.710938] [adversarial loss: 1.113637, acc: 0.406250] 23016: [discriminator loss: 0.463550, acc: 0.804688] [adversarial loss: 1.381194, acc: 0.187500] 23017: [discriminator loss: 0.508603, acc: 0.773438] [adversarial loss: 1.185504, acc: 0.281250] 23018: [discriminator loss: 0.538763, acc: 0.734375] [adversarial loss: 1.285071, acc: 0.281250] 23019: [discriminator loss: 0.546396, acc: 0.679688] [adversarial loss: 1.077528, acc: 0.343750] 23020: [discriminator loss: 0.559275, acc: 0.710938] [adversarial loss: 1.060357, acc: 0.312500] 23021: [discriminator loss: 0.515758, acc: 0.742188] [adversarial loss: 1.343419, acc: 0.125000] 23022: [discriminator loss: 0.523075, acc: 0.734375] [adversarial loss: 1.275383, acc: 0.218750] 23023: [discriminator loss: 0.538761, acc: 0.703125] [adversarial loss: 1.089238, acc: 0.359375] 23024: [discriminator loss: 0.483941, acc: 0.773438] [adversarial loss: 1.520367, acc: 0.156250] 23025: [discriminator loss: 0.552814, acc: 0.710938] [adversarial loss: 0.806253, acc: 0.609375] 23026: [discriminator loss: 0.562220, acc: 0.718750] [adversarial loss: 1.689378, acc: 0.078125] 23027: [discriminator loss: 0.537384, acc: 0.710938] [adversarial loss: 0.867090, acc: 0.562500] 23028: [discriminator loss: 0.557745, acc: 0.664062] [adversarial loss: 1.723785, acc: 0.109375] 23029: [discriminator loss: 0.585808, acc: 0.695312] [adversarial loss: 0.725543, acc: 0.609375] 23030: [discriminator loss: 0.627608, acc: 0.703125] [adversarial loss: 1.503301, acc: 0.171875] 23031: [discriminator loss: 0.557255, acc: 0.679688] [adversarial loss: 0.821695, acc: 0.453125] 23032: [discriminator loss: 0.506533, acc: 0.726562] [adversarial loss: 1.281128, acc: 0.234375] 23033: [discriminator loss: 0.532637, acc: 0.742188] [adversarial loss: 1.114473, acc: 0.296875] 23034: [discriminator loss: 0.497771, acc: 0.757812] [adversarial loss: 1.197814, acc: 0.218750] 23035: [discriminator loss: 0.605550, acc: 0.671875] [adversarial loss: 1.125425, acc: 0.250000] 23036: [discriminator loss: 0.537371, acc: 0.734375] [adversarial loss: 1.283190, acc: 0.171875] 23037: [discriminator loss: 0.509218, acc: 0.734375] [adversarial loss: 1.063886, acc: 0.312500] 23038: [discriminator loss: 0.549805, acc: 0.734375] [adversarial loss: 1.293759, acc: 0.234375] 23039: [discriminator loss: 0.511058, acc: 0.734375] [adversarial loss: 1.066763, acc: 0.375000] 23040: [discriminator loss: 0.546891, acc: 0.703125] [adversarial loss: 1.440782, acc: 0.218750] 23041: [discriminator loss: 0.488012, acc: 0.773438] [adversarial loss: 0.885848, acc: 0.453125] 23042: [discriminator loss: 0.566865, acc: 0.726562] [adversarial loss: 1.453937, acc: 0.203125] 23043: [discriminator loss: 0.543808, acc: 0.718750] [adversarial loss: 1.199347, acc: 0.312500] 23044: [discriminator loss: 0.529042, acc: 0.742188] [adversarial loss: 1.240779, acc: 0.312500] 23045: [discriminator loss: 0.524661, acc: 0.726562] [adversarial loss: 1.216079, acc: 0.234375] 23046: [discriminator loss: 0.486330, acc: 0.750000] [adversarial loss: 1.277010, acc: 0.218750] 23047: [discriminator loss: 0.624884, acc: 0.640625] [adversarial loss: 0.999631, acc: 0.312500] 23048: [discriminator loss: 0.538808, acc: 0.679688] [adversarial loss: 1.239133, acc: 0.234375] 23049: [discriminator loss: 0.442590, acc: 0.789062] [adversarial loss: 1.342798, acc: 0.218750] 23050: [discriminator loss: 0.501251, acc: 0.742188] [adversarial loss: 0.899057, acc: 0.437500] 23051: [discriminator loss: 0.587078, acc: 0.664062] [adversarial loss: 1.510302, acc: 0.109375] 23052: [discriminator loss: 0.598062, acc: 0.656250] [adversarial loss: 0.673162, acc: 0.546875] 23053: [discriminator loss: 0.556026, acc: 0.703125] [adversarial loss: 1.490113, acc: 0.156250] 23054: [discriminator loss: 0.483097, acc: 0.757812] [adversarial loss: 1.125230, acc: 0.359375] 23055: [discriminator loss: 0.547858, acc: 0.742188] [adversarial loss: 0.936590, acc: 0.468750] 23056: [discriminator loss: 0.496643, acc: 0.750000] [adversarial loss: 1.257094, acc: 0.250000] 23057: [discriminator loss: 0.525107, acc: 0.734375] [adversarial loss: 1.287963, acc: 0.203125] 23058: [discriminator loss: 0.547923, acc: 0.703125] [adversarial loss: 1.399099, acc: 0.250000] 23059: [discriminator loss: 0.522913, acc: 0.726562] [adversarial loss: 1.088762, acc: 0.343750] 23060: [discriminator loss: 0.538520, acc: 0.750000] [adversarial loss: 1.513770, acc: 0.109375] 23061: [discriminator loss: 0.501502, acc: 0.718750] [adversarial loss: 1.018456, acc: 0.437500] 23062: [discriminator loss: 0.548425, acc: 0.703125] [adversarial loss: 1.845332, acc: 0.093750] 23063: [discriminator loss: 0.560458, acc: 0.757812] [adversarial loss: 0.900342, acc: 0.484375] 23064: [discriminator loss: 0.492246, acc: 0.750000] [adversarial loss: 1.318467, acc: 0.218750] 23065: [discriminator loss: 0.525970, acc: 0.750000] [adversarial loss: 1.214161, acc: 0.343750] 23066: [discriminator loss: 0.533788, acc: 0.742188] [adversarial loss: 1.161659, acc: 0.203125] 23067: [discriminator loss: 0.495391, acc: 0.757812] [adversarial loss: 1.081112, acc: 0.375000] 23068: [discriminator loss: 0.463456, acc: 0.835938] [adversarial loss: 1.404693, acc: 0.156250] 23069: [discriminator loss: 0.480282, acc: 0.734375] [adversarial loss: 1.077273, acc: 0.312500] 23070: [discriminator loss: 0.515478, acc: 0.710938] [adversarial loss: 1.674129, acc: 0.093750] 23071: [discriminator loss: 0.618426, acc: 0.671875] [adversarial loss: 0.897317, acc: 0.421875] 23072: [discriminator loss: 0.555668, acc: 0.750000] [adversarial loss: 1.617207, acc: 0.171875] 23073: [discriminator loss: 0.550411, acc: 0.687500] [adversarial loss: 0.988090, acc: 0.328125] 23074: [discriminator loss: 0.541547, acc: 0.757812] [adversarial loss: 1.192274, acc: 0.296875] 23075: [discriminator loss: 0.490276, acc: 0.750000] [adversarial loss: 1.173859, acc: 0.296875] 23076: [discriminator loss: 0.562133, acc: 0.718750] [adversarial loss: 1.057042, acc: 0.375000] 23077: [discriminator loss: 0.525810, acc: 0.742188] [adversarial loss: 1.205873, acc: 0.218750] 23078: [discriminator loss: 0.516847, acc: 0.710938] [adversarial loss: 0.984207, acc: 0.328125] 23079: [discriminator loss: 0.491845, acc: 0.734375] [adversarial loss: 1.557019, acc: 0.125000] 23080: [discriminator loss: 0.528007, acc: 0.734375] [adversarial loss: 0.802851, acc: 0.484375] 23081: [discriminator loss: 0.532599, acc: 0.726562] [adversarial loss: 1.378889, acc: 0.156250] 23082: [discriminator loss: 0.565780, acc: 0.695312] [adversarial loss: 0.908069, acc: 0.437500] 23083: [discriminator loss: 0.545087, acc: 0.734375] [adversarial loss: 1.741196, acc: 0.109375] 23084: [discriminator loss: 0.618420, acc: 0.679688] [adversarial loss: 0.990833, acc: 0.437500] 23085: [discriminator loss: 0.579867, acc: 0.664062] [adversarial loss: 1.366601, acc: 0.203125] 23086: [discriminator loss: 0.609511, acc: 0.664062] [adversarial loss: 0.671494, acc: 0.593750] 23087: [discriminator loss: 0.651901, acc: 0.687500] [adversarial loss: 1.437453, acc: 0.171875] 23088: [discriminator loss: 0.617351, acc: 0.648438] [adversarial loss: 0.756677, acc: 0.593750] 23089: [discriminator loss: 0.525945, acc: 0.726562] [adversarial loss: 1.331545, acc: 0.156250] 23090: [discriminator loss: 0.596682, acc: 0.640625] [adversarial loss: 1.029828, acc: 0.390625] 23091: [discriminator loss: 0.476994, acc: 0.781250] [adversarial loss: 1.136397, acc: 0.250000] 23092: [discriminator loss: 0.551402, acc: 0.703125] [adversarial loss: 1.235237, acc: 0.281250] 23093: [discriminator loss: 0.519011, acc: 0.796875] [adversarial loss: 1.111874, acc: 0.312500] 23094: [discriminator loss: 0.612721, acc: 0.625000] [adversarial loss: 1.078060, acc: 0.343750] 23095: [discriminator loss: 0.515998, acc: 0.734375] [adversarial loss: 1.287658, acc: 0.265625] 23096: [discriminator loss: 0.542452, acc: 0.695312] [adversarial loss: 1.114180, acc: 0.328125] 23097: [discriminator loss: 0.502139, acc: 0.742188] [adversarial loss: 1.244844, acc: 0.328125] 23098: [discriminator loss: 0.468177, acc: 0.828125] [adversarial loss: 1.484670, acc: 0.187500] 23099: [discriminator loss: 0.554507, acc: 0.671875] [adversarial loss: 1.363974, acc: 0.296875] 23100: [discriminator loss: 0.634097, acc: 0.648438] [adversarial loss: 1.097675, acc: 0.296875] 23101: [discriminator loss: 0.570096, acc: 0.640625] [adversarial loss: 1.425996, acc: 0.156250] 23102: [discriminator loss: 0.505963, acc: 0.750000] [adversarial loss: 1.341391, acc: 0.156250] 23103: [discriminator loss: 0.570219, acc: 0.718750] [adversarial loss: 1.573248, acc: 0.203125] 23104: [discriminator loss: 0.591284, acc: 0.656250] [adversarial loss: 0.904181, acc: 0.468750] 23105: [discriminator loss: 0.563207, acc: 0.671875] [adversarial loss: 1.806154, acc: 0.109375] 23106: [discriminator loss: 0.639184, acc: 0.648438] [adversarial loss: 0.916095, acc: 0.453125] 23107: [discriminator loss: 0.463903, acc: 0.773438] [adversarial loss: 1.490960, acc: 0.109375] 23108: [discriminator loss: 0.475520, acc: 0.757812] [adversarial loss: 1.125937, acc: 0.250000] 23109: [discriminator loss: 0.503759, acc: 0.773438] [adversarial loss: 1.192431, acc: 0.250000] 23110: [discriminator loss: 0.515917, acc: 0.742188] [adversarial loss: 1.342478, acc: 0.250000] 23111: [discriminator loss: 0.551287, acc: 0.710938] [adversarial loss: 1.329695, acc: 0.203125] 23112: [discriminator loss: 0.507175, acc: 0.750000] [adversarial loss: 1.158991, acc: 0.265625] 23113: [discriminator loss: 0.621104, acc: 0.656250] [adversarial loss: 1.620704, acc: 0.125000] 23114: [discriminator loss: 0.589574, acc: 0.687500] [adversarial loss: 0.765479, acc: 0.593750] 23115: [discriminator loss: 0.618924, acc: 0.687500] [adversarial loss: 1.875997, acc: 0.078125] 23116: [discriminator loss: 0.611750, acc: 0.648438] [adversarial loss: 0.994444, acc: 0.359375] 23117: [discriminator loss: 0.564984, acc: 0.703125] [adversarial loss: 1.406543, acc: 0.218750] 23118: [discriminator loss: 0.496138, acc: 0.750000] [adversarial loss: 1.012854, acc: 0.390625] 23119: [discriminator loss: 0.564322, acc: 0.742188] [adversarial loss: 1.609763, acc: 0.062500] 23120: [discriminator loss: 0.451868, acc: 0.773438] [adversarial loss: 1.180569, acc: 0.312500] 23121: [discriminator loss: 0.578012, acc: 0.671875] [adversarial loss: 1.488203, acc: 0.140625] 23122: [discriminator loss: 0.503165, acc: 0.742188] [adversarial loss: 1.192105, acc: 0.250000] 23123: [discriminator loss: 0.527778, acc: 0.687500] [adversarial loss: 1.229611, acc: 0.203125] 23124: [discriminator loss: 0.593203, acc: 0.617188] [adversarial loss: 1.226220, acc: 0.234375] 23125: [discriminator loss: 0.504685, acc: 0.765625] [adversarial loss: 1.068737, acc: 0.375000] 23126: [discriminator loss: 0.505739, acc: 0.796875] [adversarial loss: 1.431929, acc: 0.218750] 23127: [discriminator loss: 0.561489, acc: 0.726562] [adversarial loss: 1.165537, acc: 0.281250] 23128: [discriminator loss: 0.531320, acc: 0.687500] [adversarial loss: 1.231354, acc: 0.187500] 23129: [discriminator loss: 0.552924, acc: 0.726562] [adversarial loss: 1.265109, acc: 0.250000] 23130: [discriminator loss: 0.595770, acc: 0.656250] [adversarial loss: 1.092200, acc: 0.312500] 23131: [discriminator loss: 0.548107, acc: 0.726562] [adversarial loss: 1.365294, acc: 0.125000] 23132: [discriminator loss: 0.504999, acc: 0.765625] [adversarial loss: 0.891519, acc: 0.421875] 23133: [discriminator loss: 0.542434, acc: 0.773438] [adversarial loss: 1.343206, acc: 0.156250] 23134: [discriminator loss: 0.572962, acc: 0.718750] [adversarial loss: 1.076999, acc: 0.281250] 23135: [discriminator loss: 0.564972, acc: 0.710938] [adversarial loss: 1.664504, acc: 0.078125] 23136: [discriminator loss: 0.625059, acc: 0.648438] [adversarial loss: 0.739789, acc: 0.578125] 23137: [discriminator loss: 0.543367, acc: 0.718750] [adversarial loss: 1.464586, acc: 0.171875] 23138: [discriminator loss: 0.631796, acc: 0.625000] [adversarial loss: 0.858028, acc: 0.515625] 23139: [discriminator loss: 0.557070, acc: 0.710938] [adversarial loss: 1.532518, acc: 0.109375] 23140: [discriminator loss: 0.569855, acc: 0.703125] [adversarial loss: 0.823615, acc: 0.453125] 23141: [discriminator loss: 0.551598, acc: 0.750000] [adversarial loss: 1.363728, acc: 0.203125] 23142: [discriminator loss: 0.500310, acc: 0.757812] [adversarial loss: 1.100195, acc: 0.312500] 23143: [discriminator loss: 0.569808, acc: 0.671875] [adversarial loss: 1.441631, acc: 0.140625] 23144: [discriminator loss: 0.590560, acc: 0.656250] [adversarial loss: 1.111032, acc: 0.296875] 23145: [discriminator loss: 0.529086, acc: 0.710938] [adversarial loss: 1.164565, acc: 0.296875] 23146: [discriminator loss: 0.570590, acc: 0.695312] [adversarial loss: 1.285606, acc: 0.250000] 23147: [discriminator loss: 0.589544, acc: 0.687500] [adversarial loss: 1.059317, acc: 0.312500] 23148: [discriminator loss: 0.500794, acc: 0.796875] [adversarial loss: 1.404508, acc: 0.203125] 23149: [discriminator loss: 0.535476, acc: 0.726562] [adversarial loss: 0.941472, acc: 0.390625] 23150: [discriminator loss: 0.558589, acc: 0.695312] [adversarial loss: 1.575212, acc: 0.109375] 23151: [discriminator loss: 0.610244, acc: 0.703125] [adversarial loss: 1.164580, acc: 0.375000] 23152: [discriminator loss: 0.483597, acc: 0.765625] [adversarial loss: 1.274597, acc: 0.250000] 23153: [discriminator loss: 0.535865, acc: 0.757812] [adversarial loss: 1.299834, acc: 0.218750] 23154: [discriminator loss: 0.539484, acc: 0.718750] [adversarial loss: 1.406204, acc: 0.218750] 23155: [discriminator loss: 0.468169, acc: 0.734375] [adversarial loss: 1.122586, acc: 0.328125] 23156: [discriminator loss: 0.492011, acc: 0.773438] [adversarial loss: 1.257921, acc: 0.265625] 23157: [discriminator loss: 0.553577, acc: 0.687500] [adversarial loss: 1.345324, acc: 0.187500] 23158: [discriminator loss: 0.565912, acc: 0.726562] [adversarial loss: 0.860659, acc: 0.515625] 23159: [discriminator loss: 0.676676, acc: 0.617188] [adversarial loss: 1.459490, acc: 0.171875] 23160: [discriminator loss: 0.481041, acc: 0.742188] [adversarial loss: 1.149106, acc: 0.296875] 23161: [discriminator loss: 0.509734, acc: 0.703125] [adversarial loss: 1.146196, acc: 0.250000] 23162: [discriminator loss: 0.504578, acc: 0.773438] [adversarial loss: 1.294325, acc: 0.234375] 23163: [discriminator loss: 0.504721, acc: 0.750000] [adversarial loss: 1.093694, acc: 0.390625] 23164: [discriminator loss: 0.569050, acc: 0.695312] [adversarial loss: 1.751688, acc: 0.078125] 23165: [discriminator loss: 0.635222, acc: 0.664062] [adversarial loss: 0.960502, acc: 0.437500] 23166: [discriminator loss: 0.562679, acc: 0.703125] [adversarial loss: 1.651727, acc: 0.062500] 23167: [discriminator loss: 0.583706, acc: 0.648438] [adversarial loss: 0.886343, acc: 0.484375] 23168: [discriminator loss: 0.489352, acc: 0.742188] [adversarial loss: 1.459816, acc: 0.156250] 23169: [discriminator loss: 0.581249, acc: 0.664062] [adversarial loss: 1.016962, acc: 0.390625] 23170: [discriminator loss: 0.578966, acc: 0.664062] [adversarial loss: 1.241407, acc: 0.187500] 23171: [discriminator loss: 0.514913, acc: 0.710938] [adversarial loss: 1.054904, acc: 0.312500] 23172: [discriminator loss: 0.489308, acc: 0.765625] [adversarial loss: 1.565243, acc: 0.093750] 23173: [discriminator loss: 0.509614, acc: 0.750000] [adversarial loss: 1.083057, acc: 0.328125] 23174: [discriminator loss: 0.493333, acc: 0.750000] [adversarial loss: 1.150008, acc: 0.250000] 23175: [discriminator loss: 0.525755, acc: 0.765625] [adversarial loss: 1.007636, acc: 0.421875] 23176: [discriminator loss: 0.513056, acc: 0.750000] [adversarial loss: 1.454062, acc: 0.218750] 23177: [discriminator loss: 0.526411, acc: 0.742188] [adversarial loss: 0.934316, acc: 0.406250] 23178: [discriminator loss: 0.546756, acc: 0.710938] [adversarial loss: 1.640062, acc: 0.046875] 23179: [discriminator loss: 0.552208, acc: 0.671875] [adversarial loss: 0.807284, acc: 0.562500] 23180: [discriminator loss: 0.621010, acc: 0.679688] [adversarial loss: 1.732532, acc: 0.140625] 23181: [discriminator loss: 0.536726, acc: 0.710938] [adversarial loss: 0.767603, acc: 0.468750] 23182: [discriminator loss: 0.567387, acc: 0.703125] [adversarial loss: 1.434098, acc: 0.187500] 23183: [discriminator loss: 0.554918, acc: 0.703125] [adversarial loss: 1.134445, acc: 0.296875] 23184: [discriminator loss: 0.570476, acc: 0.726562] [adversarial loss: 1.358500, acc: 0.171875] 23185: [discriminator loss: 0.436851, acc: 0.812500] [adversarial loss: 1.103192, acc: 0.390625] 23186: [discriminator loss: 0.538019, acc: 0.687500] [adversarial loss: 1.407601, acc: 0.234375] 23187: [discriminator loss: 0.532856, acc: 0.781250] [adversarial loss: 1.378350, acc: 0.250000] 23188: [discriminator loss: 0.548547, acc: 0.710938] [adversarial loss: 1.475693, acc: 0.109375] 23189: [discriminator loss: 0.558211, acc: 0.718750] [adversarial loss: 0.879192, acc: 0.406250] 23190: [discriminator loss: 0.567736, acc: 0.687500] [adversarial loss: 1.491937, acc: 0.093750] 23191: [discriminator loss: 0.490455, acc: 0.765625] [adversarial loss: 1.166714, acc: 0.265625] 23192: [discriminator loss: 0.573839, acc: 0.687500] [adversarial loss: 1.060201, acc: 0.312500] 23193: [discriminator loss: 0.600934, acc: 0.687500] [adversarial loss: 1.008299, acc: 0.343750] 23194: [discriminator loss: 0.510533, acc: 0.781250] [adversarial loss: 1.420349, acc: 0.140625] 23195: [discriminator loss: 0.509878, acc: 0.703125] [adversarial loss: 0.938411, acc: 0.328125] 23196: [discriminator loss: 0.580719, acc: 0.656250] [adversarial loss: 1.172885, acc: 0.234375] 23197: [discriminator loss: 0.616925, acc: 0.664062] [adversarial loss: 1.418654, acc: 0.093750] 23198: [discriminator loss: 0.545120, acc: 0.710938] [adversarial loss: 0.839795, acc: 0.406250] 23199: [discriminator loss: 0.563122, acc: 0.679688] [adversarial loss: 1.544651, acc: 0.046875] 23200: [discriminator loss: 0.527874, acc: 0.742188] [adversarial loss: 0.833951, acc: 0.515625] 23201: [discriminator loss: 0.500821, acc: 0.765625] [adversarial loss: 1.803446, acc: 0.031250] 23202: [discriminator loss: 0.664881, acc: 0.648438] [adversarial loss: 0.748774, acc: 0.546875] 23203: [discriminator loss: 0.634394, acc: 0.648438] [adversarial loss: 1.793880, acc: 0.078125] 23204: [discriminator loss: 0.657418, acc: 0.648438] [adversarial loss: 0.839748, acc: 0.468750] 23205: [discriminator loss: 0.594972, acc: 0.695312] [adversarial loss: 1.067755, acc: 0.343750] 23206: [discriminator loss: 0.474858, acc: 0.757812] [adversarial loss: 1.332534, acc: 0.171875] 23207: [discriminator loss: 0.480853, acc: 0.781250] [adversarial loss: 1.368066, acc: 0.109375] 23208: [discriminator loss: 0.534232, acc: 0.726562] [adversarial loss: 1.159117, acc: 0.250000] 23209: [discriminator loss: 0.541483, acc: 0.718750] [adversarial loss: 1.253808, acc: 0.203125] 23210: [discriminator loss: 0.543818, acc: 0.671875] [adversarial loss: 1.357503, acc: 0.187500] 23211: [discriminator loss: 0.487070, acc: 0.773438] [adversarial loss: 1.104037, acc: 0.328125] 23212: [discriminator loss: 0.550529, acc: 0.671875] [adversarial loss: 1.124282, acc: 0.296875] 23213: [discriminator loss: 0.531010, acc: 0.750000] [adversarial loss: 1.101805, acc: 0.312500] 23214: [discriminator loss: 0.532261, acc: 0.710938] [adversarial loss: 1.081413, acc: 0.359375] 23215: [discriminator loss: 0.495397, acc: 0.750000] [adversarial loss: 1.085496, acc: 0.359375] 23216: [discriminator loss: 0.480339, acc: 0.820312] [adversarial loss: 1.113015, acc: 0.406250] 23217: [discriminator loss: 0.494331, acc: 0.796875] [adversarial loss: 1.363716, acc: 0.203125] 23218: [discriminator loss: 0.509583, acc: 0.742188] [adversarial loss: 1.040956, acc: 0.375000] 23219: [discriminator loss: 0.575404, acc: 0.726562] [adversarial loss: 1.582035, acc: 0.062500] 23220: [discriminator loss: 0.490838, acc: 0.750000] [adversarial loss: 0.980166, acc: 0.406250] 23221: [discriminator loss: 0.469634, acc: 0.812500] [adversarial loss: 1.291659, acc: 0.140625] 23222: [discriminator loss: 0.491001, acc: 0.757812] [adversarial loss: 1.168306, acc: 0.250000] 23223: [discriminator loss: 0.554275, acc: 0.679688] [adversarial loss: 1.344618, acc: 0.218750] 23224: [discriminator loss: 0.450854, acc: 0.757812] [adversarial loss: 0.972700, acc: 0.406250] 23225: [discriminator loss: 0.544260, acc: 0.703125] [adversarial loss: 1.401823, acc: 0.156250] 23226: [discriminator loss: 0.515009, acc: 0.687500] [adversarial loss: 1.330318, acc: 0.218750] 23227: [discriminator loss: 0.537944, acc: 0.718750] [adversarial loss: 1.763406, acc: 0.046875] 23228: [discriminator loss: 0.622152, acc: 0.640625] [adversarial loss: 0.705216, acc: 0.593750] 23229: [discriminator loss: 0.541361, acc: 0.695312] [adversarial loss: 1.747726, acc: 0.078125] 23230: [discriminator loss: 0.532807, acc: 0.718750] [adversarial loss: 1.026662, acc: 0.406250] 23231: [discriminator loss: 0.610151, acc: 0.640625] [adversarial loss: 1.845873, acc: 0.093750] 23232: [discriminator loss: 0.562136, acc: 0.726562] [adversarial loss: 1.016840, acc: 0.421875] 23233: [discriminator loss: 0.523182, acc: 0.695312] [adversarial loss: 1.236751, acc: 0.218750] 23234: [discriminator loss: 0.548990, acc: 0.718750] [adversarial loss: 1.382031, acc: 0.234375] 23235: [discriminator loss: 0.502031, acc: 0.734375] [adversarial loss: 1.211243, acc: 0.312500] 23236: [discriminator loss: 0.568421, acc: 0.664062] [adversarial loss: 1.084281, acc: 0.343750] 23237: [discriminator loss: 0.555151, acc: 0.718750] [adversarial loss: 1.190895, acc: 0.312500] 23238: [discriminator loss: 0.571626, acc: 0.664062] [adversarial loss: 0.907724, acc: 0.437500] 23239: [discriminator loss: 0.657425, acc: 0.617188] [adversarial loss: 1.524508, acc: 0.109375] 23240: [discriminator loss: 0.541082, acc: 0.750000] [adversarial loss: 1.094738, acc: 0.296875] 23241: [discriminator loss: 0.565072, acc: 0.742188] [adversarial loss: 1.325746, acc: 0.234375] 23242: [discriminator loss: 0.574504, acc: 0.671875] [adversarial loss: 0.914801, acc: 0.390625] 23243: [discriminator loss: 0.575978, acc: 0.687500] [adversarial loss: 1.510338, acc: 0.093750] 23244: [discriminator loss: 0.594053, acc: 0.671875] [adversarial loss: 0.776502, acc: 0.531250] 23245: [discriminator loss: 0.604066, acc: 0.640625] [adversarial loss: 1.671669, acc: 0.093750] 23246: [discriminator loss: 0.598245, acc: 0.648438] [adversarial loss: 0.853607, acc: 0.468750] 23247: [discriminator loss: 0.533578, acc: 0.742188] [adversarial loss: 1.357378, acc: 0.156250] 23248: [discriminator loss: 0.544907, acc: 0.671875] [adversarial loss: 1.226751, acc: 0.140625] 23249: [discriminator loss: 0.589705, acc: 0.671875] [adversarial loss: 1.130412, acc: 0.281250] 23250: [discriminator loss: 0.543451, acc: 0.687500] [adversarial loss: 0.932785, acc: 0.390625] 23251: [discriminator loss: 0.587393, acc: 0.656250] [adversarial loss: 1.422294, acc: 0.156250] 23252: [discriminator loss: 0.572962, acc: 0.703125] [adversarial loss: 0.821257, acc: 0.437500] 23253: [discriminator loss: 0.532876, acc: 0.773438] [adversarial loss: 1.247496, acc: 0.234375] 23254: [discriminator loss: 0.538868, acc: 0.757812] [adversarial loss: 1.170379, acc: 0.281250] 23255: [discriminator loss: 0.540212, acc: 0.718750] [adversarial loss: 1.406230, acc: 0.140625] 23256: [discriminator loss: 0.504955, acc: 0.742188] [adversarial loss: 1.304020, acc: 0.265625] 23257: [discriminator loss: 0.646176, acc: 0.648438] [adversarial loss: 1.143240, acc: 0.265625] 23258: [discriminator loss: 0.577107, acc: 0.687500] [adversarial loss: 1.454918, acc: 0.171875] 23259: [discriminator loss: 0.552098, acc: 0.671875] [adversarial loss: 0.948814, acc: 0.406250] 23260: [discriminator loss: 0.617550, acc: 0.695312] [adversarial loss: 1.458753, acc: 0.203125] 23261: [discriminator loss: 0.544882, acc: 0.687500] [adversarial loss: 0.811344, acc: 0.484375] 23262: [discriminator loss: 0.574140, acc: 0.648438] [adversarial loss: 1.637820, acc: 0.093750] 23263: [discriminator loss: 0.572542, acc: 0.648438] [adversarial loss: 0.924258, acc: 0.437500] 23264: [discriminator loss: 0.688242, acc: 0.648438] [adversarial loss: 1.583284, acc: 0.046875] 23265: [discriminator loss: 0.557561, acc: 0.671875] [adversarial loss: 0.841088, acc: 0.500000] 23266: [discriminator loss: 0.550047, acc: 0.718750] [adversarial loss: 1.169402, acc: 0.187500] 23267: [discriminator loss: 0.528160, acc: 0.757812] [adversarial loss: 1.092137, acc: 0.296875] 23268: [discriminator loss: 0.572051, acc: 0.710938] [adversarial loss: 1.286627, acc: 0.265625] 23269: [discriminator loss: 0.569083, acc: 0.687500] [adversarial loss: 1.040514, acc: 0.296875] 23270: [discriminator loss: 0.520339, acc: 0.710938] [adversarial loss: 1.375738, acc: 0.140625] 23271: [discriminator loss: 0.553949, acc: 0.687500] [adversarial loss: 1.014331, acc: 0.343750] 23272: [discriminator loss: 0.567469, acc: 0.687500] [adversarial loss: 1.376431, acc: 0.265625] 23273: [discriminator loss: 0.558855, acc: 0.679688] [adversarial loss: 1.129229, acc: 0.250000] 23274: [discriminator loss: 0.457840, acc: 0.789062] [adversarial loss: 1.432201, acc: 0.125000] 23275: [discriminator loss: 0.541300, acc: 0.703125] [adversarial loss: 0.913194, acc: 0.437500] 23276: [discriminator loss: 0.535845, acc: 0.710938] [adversarial loss: 1.114371, acc: 0.296875] 23277: [discriminator loss: 0.574406, acc: 0.742188] [adversarial loss: 0.937669, acc: 0.328125] 23278: [discriminator loss: 0.583854, acc: 0.648438] [adversarial loss: 1.546447, acc: 0.062500] 23279: [discriminator loss: 0.556234, acc: 0.671875] [adversarial loss: 0.859628, acc: 0.484375] 23280: [discriminator loss: 0.553931, acc: 0.687500] [adversarial loss: 1.417616, acc: 0.156250] 23281: [discriminator loss: 0.594140, acc: 0.609375] [adversarial loss: 1.047670, acc: 0.265625] 23282: [discriminator loss: 0.511665, acc: 0.765625] [adversarial loss: 1.391180, acc: 0.140625] 23283: [discriminator loss: 0.538096, acc: 0.726562] [adversarial loss: 1.270119, acc: 0.203125] 23284: [discriminator loss: 0.508460, acc: 0.695312] [adversarial loss: 1.265979, acc: 0.250000] 23285: [discriminator loss: 0.533946, acc: 0.726562] [adversarial loss: 0.949130, acc: 0.421875] 23286: [discriminator loss: 0.466331, acc: 0.789062] [adversarial loss: 1.501285, acc: 0.156250] 23287: [discriminator loss: 0.485993, acc: 0.773438] [adversarial loss: 0.959748, acc: 0.406250] 23288: [discriminator loss: 0.570152, acc: 0.679688] [adversarial loss: 1.319410, acc: 0.218750] 23289: [discriminator loss: 0.558486, acc: 0.695312] [adversarial loss: 1.075682, acc: 0.281250] 23290: [discriminator loss: 0.460454, acc: 0.773438] [adversarial loss: 1.584795, acc: 0.109375] 23291: [discriminator loss: 0.521969, acc: 0.765625] [adversarial loss: 0.942294, acc: 0.390625] 23292: [discriminator loss: 0.511054, acc: 0.742188] [adversarial loss: 1.693351, acc: 0.171875] 23293: [discriminator loss: 0.549727, acc: 0.734375] [adversarial loss: 1.317498, acc: 0.296875] 23294: [discriminator loss: 0.604828, acc: 0.648438] [adversarial loss: 1.398237, acc: 0.156250] 23295: [discriminator loss: 0.591796, acc: 0.679688] [adversarial loss: 1.022362, acc: 0.343750] 23296: [discriminator loss: 0.620984, acc: 0.640625] [adversarial loss: 1.514682, acc: 0.187500] 23297: [discriminator loss: 0.553083, acc: 0.679688] [adversarial loss: 0.811481, acc: 0.531250] 23298: [discriminator loss: 0.549840, acc: 0.742188] [adversarial loss: 1.301933, acc: 0.140625] 23299: [discriminator loss: 0.508710, acc: 0.742188] [adversarial loss: 0.995367, acc: 0.312500] 23300: [discriminator loss: 0.524634, acc: 0.703125] [adversarial loss: 1.411094, acc: 0.125000] 23301: [discriminator loss: 0.542453, acc: 0.726562] [adversarial loss: 1.135855, acc: 0.203125] 23302: [discriminator loss: 0.564663, acc: 0.687500] [adversarial loss: 1.485992, acc: 0.187500] 23303: [discriminator loss: 0.672847, acc: 0.632812] [adversarial loss: 1.009036, acc: 0.375000] 23304: [discriminator loss: 0.553477, acc: 0.718750] [adversarial loss: 1.305379, acc: 0.234375] 23305: [discriminator loss: 0.479893, acc: 0.750000] [adversarial loss: 0.918307, acc: 0.468750] 23306: [discriminator loss: 0.575305, acc: 0.703125] [adversarial loss: 1.411294, acc: 0.187500] 23307: [discriminator loss: 0.546162, acc: 0.710938] [adversarial loss: 0.948053, acc: 0.359375] 23308: [discriminator loss: 0.521450, acc: 0.726562] [adversarial loss: 1.472576, acc: 0.140625] 23309: [discriminator loss: 0.556124, acc: 0.718750] [adversarial loss: 0.800148, acc: 0.468750] 23310: [discriminator loss: 0.545117, acc: 0.734375] [adversarial loss: 1.982121, acc: 0.046875] 23311: [discriminator loss: 0.574865, acc: 0.695312] [adversarial loss: 0.948170, acc: 0.406250] 23312: [discriminator loss: 0.580489, acc: 0.726562] [adversarial loss: 1.350958, acc: 0.156250] 23313: [discriminator loss: 0.587238, acc: 0.656250] [adversarial loss: 0.873818, acc: 0.515625] 23314: [discriminator loss: 0.527859, acc: 0.742188] [adversarial loss: 1.131359, acc: 0.281250] 23315: [discriminator loss: 0.511886, acc: 0.718750] [adversarial loss: 1.242112, acc: 0.265625] 23316: [discriminator loss: 0.550725, acc: 0.726562] [adversarial loss: 1.046865, acc: 0.375000] 23317: [discriminator loss: 0.612629, acc: 0.695312] [adversarial loss: 1.219813, acc: 0.250000] 23318: [discriminator loss: 0.577385, acc: 0.679688] [adversarial loss: 1.080669, acc: 0.296875] 23319: [discriminator loss: 0.531310, acc: 0.750000] [adversarial loss: 1.024230, acc: 0.343750] 23320: [discriminator loss: 0.566911, acc: 0.679688] [adversarial loss: 1.476810, acc: 0.203125] 23321: [discriminator loss: 0.593774, acc: 0.679688] [adversarial loss: 0.988299, acc: 0.281250] 23322: [discriminator loss: 0.680374, acc: 0.648438] [adversarial loss: 1.565880, acc: 0.125000] 23323: [discriminator loss: 0.606119, acc: 0.671875] [adversarial loss: 1.017209, acc: 0.359375] 23324: [discriminator loss: 0.547310, acc: 0.734375] [adversarial loss: 1.312667, acc: 0.218750] 23325: [discriminator loss: 0.468968, acc: 0.773438] [adversarial loss: 0.973707, acc: 0.328125] 23326: [discriminator loss: 0.560486, acc: 0.687500] [adversarial loss: 1.330138, acc: 0.156250] 23327: [discriminator loss: 0.511443, acc: 0.757812] [adversarial loss: 1.154817, acc: 0.296875] 23328: [discriminator loss: 0.565020, acc: 0.703125] [adversarial loss: 1.426588, acc: 0.140625] 23329: [discriminator loss: 0.584199, acc: 0.656250] [adversarial loss: 0.922295, acc: 0.406250] 23330: [discriminator loss: 0.516604, acc: 0.726562] [adversarial loss: 1.469016, acc: 0.125000] 23331: [discriminator loss: 0.548843, acc: 0.726562] [adversarial loss: 1.004462, acc: 0.390625] 23332: [discriminator loss: 0.445406, acc: 0.804688] [adversarial loss: 1.408747, acc: 0.203125] 23333: [discriminator loss: 0.542650, acc: 0.710938] [adversarial loss: 1.086340, acc: 0.328125] 23334: [discriminator loss: 0.463784, acc: 0.765625] [adversarial loss: 0.946957, acc: 0.437500] 23335: [discriminator loss: 0.500834, acc: 0.734375] [adversarial loss: 1.682382, acc: 0.078125] 23336: [discriminator loss: 0.559027, acc: 0.664062] [adversarial loss: 0.617412, acc: 0.625000] 23337: [discriminator loss: 0.697944, acc: 0.625000] [adversarial loss: 1.901192, acc: 0.046875] 23338: [discriminator loss: 0.575930, acc: 0.710938] [adversarial loss: 1.032110, acc: 0.359375] 23339: [discriminator loss: 0.548546, acc: 0.695312] [adversarial loss: 1.582406, acc: 0.140625] 23340: [discriminator loss: 0.505677, acc: 0.765625] [adversarial loss: 0.878124, acc: 0.453125] 23341: [discriminator loss: 0.550534, acc: 0.750000] [adversarial loss: 1.370249, acc: 0.218750] 23342: [discriminator loss: 0.571086, acc: 0.679688] [adversarial loss: 0.988909, acc: 0.406250] 23343: [discriminator loss: 0.552656, acc: 0.718750] [adversarial loss: 1.403889, acc: 0.093750] 23344: [discriminator loss: 0.525594, acc: 0.734375] [adversarial loss: 0.918722, acc: 0.421875] 23345: [discriminator loss: 0.488495, acc: 0.781250] [adversarial loss: 1.288085, acc: 0.156250] 23346: [discriminator loss: 0.599496, acc: 0.632812] [adversarial loss: 0.802789, acc: 0.500000] 23347: [discriminator loss: 0.556881, acc: 0.703125] [adversarial loss: 1.676077, acc: 0.062500] 23348: [discriminator loss: 0.587526, acc: 0.640625] [adversarial loss: 0.989751, acc: 0.343750] 23349: [discriminator loss: 0.574959, acc: 0.710938] [adversarial loss: 1.479384, acc: 0.125000] 23350: [discriminator loss: 0.543004, acc: 0.679688] [adversarial loss: 0.924613, acc: 0.437500] 23351: [discriminator loss: 0.584503, acc: 0.671875] [adversarial loss: 1.149945, acc: 0.250000] 23352: [discriminator loss: 0.524570, acc: 0.757812] [adversarial loss: 1.322232, acc: 0.171875] 23353: [discriminator loss: 0.501398, acc: 0.765625] [adversarial loss: 1.078230, acc: 0.359375] 23354: [discriminator loss: 0.506937, acc: 0.750000] [adversarial loss: 1.240966, acc: 0.171875] 23355: [discriminator loss: 0.534788, acc: 0.757812] [adversarial loss: 0.852149, acc: 0.515625] 23356: [discriminator loss: 0.587289, acc: 0.664062] [adversarial loss: 1.588938, acc: 0.125000] 23357: [discriminator loss: 0.623813, acc: 0.656250] [adversarial loss: 0.839782, acc: 0.421875] 23358: [discriminator loss: 0.553476, acc: 0.703125] [adversarial loss: 1.591382, acc: 0.125000] 23359: [discriminator loss: 0.517810, acc: 0.718750] [adversarial loss: 0.910617, acc: 0.359375] 23360: [discriminator loss: 0.508030, acc: 0.742188] [adversarial loss: 1.093158, acc: 0.250000] 23361: [discriminator loss: 0.576100, acc: 0.664062] [adversarial loss: 1.112559, acc: 0.296875] 23362: [discriminator loss: 0.542079, acc: 0.757812] [adversarial loss: 1.263015, acc: 0.203125] 23363: [discriminator loss: 0.529809, acc: 0.750000] [adversarial loss: 0.913773, acc: 0.453125] 23364: [discriminator loss: 0.534368, acc: 0.710938] [adversarial loss: 1.346321, acc: 0.187500] 23365: [discriminator loss: 0.478424, acc: 0.757812] [adversarial loss: 1.152515, acc: 0.343750] 23366: [discriminator loss: 0.583809, acc: 0.664062] [adversarial loss: 1.552675, acc: 0.125000] 23367: [discriminator loss: 0.528855, acc: 0.679688] [adversarial loss: 0.877349, acc: 0.484375] 23368: [discriminator loss: 0.512940, acc: 0.734375] [adversarial loss: 1.180322, acc: 0.250000] 23369: [discriminator loss: 0.544219, acc: 0.718750] [adversarial loss: 1.388478, acc: 0.140625] 23370: [discriminator loss: 0.533482, acc: 0.718750] [adversarial loss: 1.106298, acc: 0.328125] 23371: [discriminator loss: 0.567802, acc: 0.671875] [adversarial loss: 1.642307, acc: 0.125000] 23372: [discriminator loss: 0.593665, acc: 0.671875] [adversarial loss: 0.869513, acc: 0.546875] 23373: [discriminator loss: 0.638559, acc: 0.664062] [adversarial loss: 1.373785, acc: 0.203125] 23374: [discriminator loss: 0.548075, acc: 0.695312] [adversarial loss: 0.965531, acc: 0.359375] 23375: [discriminator loss: 0.493271, acc: 0.765625] [adversarial loss: 1.276268, acc: 0.171875] 23376: [discriminator loss: 0.547615, acc: 0.703125] [adversarial loss: 1.192305, acc: 0.156250] 23377: [discriminator loss: 0.568531, acc: 0.687500] [adversarial loss: 0.825861, acc: 0.421875] 23378: [discriminator loss: 0.577094, acc: 0.679688] [adversarial loss: 1.556446, acc: 0.203125] 23379: [discriminator loss: 0.608938, acc: 0.695312] [adversarial loss: 0.919112, acc: 0.406250] 23380: [discriminator loss: 0.544787, acc: 0.695312] [adversarial loss: 1.215165, acc: 0.281250] 23381: [discriminator loss: 0.518129, acc: 0.750000] [adversarial loss: 1.055625, acc: 0.281250] 23382: [discriminator loss: 0.529238, acc: 0.726562] [adversarial loss: 1.405551, acc: 0.125000] 23383: [discriminator loss: 0.583588, acc: 0.664062] [adversarial loss: 1.225155, acc: 0.218750] 23384: [discriminator loss: 0.568108, acc: 0.710938] [adversarial loss: 1.156789, acc: 0.234375] 23385: [discriminator loss: 0.585118, acc: 0.695312] [adversarial loss: 1.178283, acc: 0.328125] 23386: [discriminator loss: 0.581426, acc: 0.695312] [adversarial loss: 1.251967, acc: 0.234375] 23387: [discriminator loss: 0.526345, acc: 0.718750] [adversarial loss: 1.162112, acc: 0.281250] 23388: [discriminator loss: 0.561064, acc: 0.726562] [adversarial loss: 0.862327, acc: 0.437500] 23389: [discriminator loss: 0.609441, acc: 0.664062] [adversarial loss: 1.496331, acc: 0.203125] 23390: [discriminator loss: 0.573384, acc: 0.710938] [adversarial loss: 1.056062, acc: 0.328125] 23391: [discriminator loss: 0.555413, acc: 0.687500] [adversarial loss: 1.330403, acc: 0.171875] 23392: [discriminator loss: 0.563195, acc: 0.695312] [adversarial loss: 1.132450, acc: 0.250000] 23393: [discriminator loss: 0.491542, acc: 0.765625] [adversarial loss: 1.156340, acc: 0.265625] 23394: [discriminator loss: 0.511636, acc: 0.695312] [adversarial loss: 1.239154, acc: 0.265625] 23395: [discriminator loss: 0.524319, acc: 0.726562] [adversarial loss: 1.243409, acc: 0.218750] 23396: [discriminator loss: 0.540883, acc: 0.757812] [adversarial loss: 1.198227, acc: 0.234375] 23397: [discriminator loss: 0.483526, acc: 0.742188] [adversarial loss: 1.488038, acc: 0.140625] 23398: [discriminator loss: 0.607230, acc: 0.632812] [adversarial loss: 0.624586, acc: 0.703125] 23399: [discriminator loss: 0.577797, acc: 0.718750] [adversarial loss: 1.899324, acc: 0.015625] 23400: [discriminator loss: 0.694011, acc: 0.625000] [adversarial loss: 0.907512, acc: 0.484375] 23401: [discriminator loss: 0.606545, acc: 0.656250] [adversarial loss: 1.521881, acc: 0.171875] 23402: [discriminator loss: 0.656142, acc: 0.617188] [adversarial loss: 0.863041, acc: 0.515625] 23403: [discriminator loss: 0.506473, acc: 0.773438] [adversarial loss: 1.369350, acc: 0.171875] 23404: [discriminator loss: 0.602030, acc: 0.679688] [adversarial loss: 0.996723, acc: 0.296875] 23405: [discriminator loss: 0.540522, acc: 0.726562] [adversarial loss: 1.461151, acc: 0.140625] 23406: [discriminator loss: 0.627297, acc: 0.617188] [adversarial loss: 0.957791, acc: 0.390625] 23407: [discriminator loss: 0.518065, acc: 0.687500] [adversarial loss: 1.333702, acc: 0.156250] 23408: [discriminator loss: 0.581676, acc: 0.695312] [adversarial loss: 1.260842, acc: 0.187500] 23409: [discriminator loss: 0.581456, acc: 0.664062] [adversarial loss: 1.150734, acc: 0.265625] 23410: [discriminator loss: 0.547774, acc: 0.703125] [adversarial loss: 1.269821, acc: 0.140625] 23411: [discriminator loss: 0.526281, acc: 0.734375] [adversarial loss: 1.334457, acc: 0.187500] 23412: [discriminator loss: 0.585323, acc: 0.726562] [adversarial loss: 1.189527, acc: 0.281250] 23413: [discriminator loss: 0.522012, acc: 0.773438] [adversarial loss: 1.381856, acc: 0.171875] 23414: [discriminator loss: 0.569224, acc: 0.679688] [adversarial loss: 1.141460, acc: 0.296875] 23415: [discriminator loss: 0.476828, acc: 0.750000] [adversarial loss: 1.118965, acc: 0.250000] 23416: [discriminator loss: 0.495183, acc: 0.718750] [adversarial loss: 1.456111, acc: 0.171875] 23417: [discriminator loss: 0.625222, acc: 0.664062] [adversarial loss: 0.970415, acc: 0.390625] 23418: [discriminator loss: 0.581094, acc: 0.703125] [adversarial loss: 1.542156, acc: 0.062500] 23419: [discriminator loss: 0.578571, acc: 0.679688] [adversarial loss: 1.022574, acc: 0.328125] 23420: [discriminator loss: 0.528090, acc: 0.695312] [adversarial loss: 1.561740, acc: 0.093750] 23421: [discriminator loss: 0.479384, acc: 0.750000] [adversarial loss: 0.997046, acc: 0.359375] 23422: [discriminator loss: 0.543531, acc: 0.718750] [adversarial loss: 1.072435, acc: 0.328125] 23423: [discriminator loss: 0.608013, acc: 0.664062] [adversarial loss: 1.037696, acc: 0.312500] 23424: [discriminator loss: 0.526998, acc: 0.710938] [adversarial loss: 0.989616, acc: 0.390625] 23425: [discriminator loss: 0.555109, acc: 0.718750] [adversarial loss: 1.562363, acc: 0.171875] 23426: [discriminator loss: 0.557437, acc: 0.687500] [adversarial loss: 0.829132, acc: 0.468750] 23427: [discriminator loss: 0.630923, acc: 0.617188] [adversarial loss: 1.500535, acc: 0.093750] 23428: [discriminator loss: 0.565813, acc: 0.679688] [adversarial loss: 0.867884, acc: 0.468750] 23429: [discriminator loss: 0.609903, acc: 0.664062] [adversarial loss: 1.349574, acc: 0.187500] 23430: [discriminator loss: 0.503937, acc: 0.703125] [adversarial loss: 0.806009, acc: 0.515625] 23431: [discriminator loss: 0.513238, acc: 0.773438] [adversarial loss: 0.973887, acc: 0.421875] 23432: [discriminator loss: 0.544554, acc: 0.726562] [adversarial loss: 1.075351, acc: 0.359375] 23433: [discriminator loss: 0.582136, acc: 0.632812] [adversarial loss: 1.119210, acc: 0.250000] 23434: [discriminator loss: 0.596739, acc: 0.625000] [adversarial loss: 0.962141, acc: 0.328125] 23435: [discriminator loss: 0.488631, acc: 0.773438] [adversarial loss: 1.270702, acc: 0.343750] 23436: [discriminator loss: 0.446171, acc: 0.812500] [adversarial loss: 0.841758, acc: 0.578125] 23437: [discriminator loss: 0.544088, acc: 0.734375] [adversarial loss: 1.267494, acc: 0.234375] 23438: [discriminator loss: 0.523379, acc: 0.710938] [adversarial loss: 0.766348, acc: 0.515625] 23439: [discriminator loss: 0.448835, acc: 0.789062] [adversarial loss: 1.185933, acc: 0.250000] 23440: [discriminator loss: 0.557871, acc: 0.726562] [adversarial loss: 0.759394, acc: 0.546875] 23441: [discriminator loss: 0.571725, acc: 0.679688] [adversarial loss: 1.443566, acc: 0.125000] 23442: [discriminator loss: 0.552374, acc: 0.703125] [adversarial loss: 0.823181, acc: 0.531250] 23443: [discriminator loss: 0.543968, acc: 0.718750] [adversarial loss: 1.558766, acc: 0.109375] 23444: [discriminator loss: 0.515992, acc: 0.742188] [adversarial loss: 0.837089, acc: 0.500000] 23445: [discriminator loss: 0.600442, acc: 0.687500] [adversarial loss: 1.457156, acc: 0.156250] 23446: [discriminator loss: 0.494899, acc: 0.726562] [adversarial loss: 0.886140, acc: 0.453125] 23447: [discriminator loss: 0.601869, acc: 0.734375] [adversarial loss: 1.577647, acc: 0.156250] 23448: [discriminator loss: 0.587438, acc: 0.640625] [adversarial loss: 0.924902, acc: 0.437500] 23449: [discriminator loss: 0.510275, acc: 0.757812] [adversarial loss: 1.440544, acc: 0.187500] 23450: [discriminator loss: 0.528805, acc: 0.742188] [adversarial loss: 1.158820, acc: 0.203125] 23451: [discriminator loss: 0.537774, acc: 0.781250] [adversarial loss: 1.343111, acc: 0.109375] 23452: [discriminator loss: 0.553771, acc: 0.664062] [adversarial loss: 1.114018, acc: 0.296875] 23453: [discriminator loss: 0.536067, acc: 0.734375] [adversarial loss: 1.504819, acc: 0.140625] 23454: [discriminator loss: 0.523222, acc: 0.726562] [adversarial loss: 1.277479, acc: 0.250000] 23455: [discriminator loss: 0.508254, acc: 0.773438] [adversarial loss: 1.041133, acc: 0.359375] 23456: [discriminator loss: 0.543730, acc: 0.734375] [adversarial loss: 1.441289, acc: 0.140625] 23457: [discriminator loss: 0.535139, acc: 0.750000] [adversarial loss: 1.316453, acc: 0.218750] 23458: [discriminator loss: 0.502709, acc: 0.726562] [adversarial loss: 1.013507, acc: 0.250000] 23459: [discriminator loss: 0.555858, acc: 0.742188] [adversarial loss: 1.503212, acc: 0.156250] 23460: [discriminator loss: 0.587926, acc: 0.718750] [adversarial loss: 0.891970, acc: 0.421875] 23461: [discriminator loss: 0.521364, acc: 0.750000] [adversarial loss: 1.587744, acc: 0.125000] 23462: [discriminator loss: 0.617412, acc: 0.679688] [adversarial loss: 0.914687, acc: 0.421875] 23463: [discriminator loss: 0.596904, acc: 0.679688] [adversarial loss: 1.610100, acc: 0.109375] 23464: [discriminator loss: 0.604290, acc: 0.679688] [adversarial loss: 0.772151, acc: 0.500000] 23465: [discriminator loss: 0.608155, acc: 0.632812] [adversarial loss: 1.422668, acc: 0.156250] 23466: [discriminator loss: 0.596335, acc: 0.687500] [adversarial loss: 1.087897, acc: 0.296875] 23467: [discriminator loss: 0.550262, acc: 0.687500] [adversarial loss: 1.282793, acc: 0.171875] 23468: [discriminator loss: 0.547513, acc: 0.718750] [adversarial loss: 1.069271, acc: 0.265625] 23469: [discriminator loss: 0.564702, acc: 0.710938] [adversarial loss: 1.083842, acc: 0.250000] 23470: [discriminator loss: 0.560197, acc: 0.703125] [adversarial loss: 1.306980, acc: 0.156250] 23471: [discriminator loss: 0.539907, acc: 0.695312] [adversarial loss: 1.152404, acc: 0.281250] 23472: [discriminator loss: 0.582354, acc: 0.703125] [adversarial loss: 1.408323, acc: 0.156250] 23473: [discriminator loss: 0.531695, acc: 0.703125] [adversarial loss: 0.924861, acc: 0.375000] 23474: [discriminator loss: 0.518157, acc: 0.742188] [adversarial loss: 1.359887, acc: 0.171875] 23475: [discriminator loss: 0.493797, acc: 0.781250] [adversarial loss: 1.008220, acc: 0.375000] 23476: [discriminator loss: 0.657964, acc: 0.640625] [adversarial loss: 1.363441, acc: 0.140625] 23477: [discriminator loss: 0.556257, acc: 0.687500] [adversarial loss: 0.886683, acc: 0.390625] 23478: [discriminator loss: 0.616025, acc: 0.625000] [adversarial loss: 1.532994, acc: 0.156250] 23479: [discriminator loss: 0.588052, acc: 0.679688] [adversarial loss: 0.768180, acc: 0.500000] 23480: [discriminator loss: 0.534516, acc: 0.710938] [adversarial loss: 1.299414, acc: 0.171875] 23481: [discriminator loss: 0.561787, acc: 0.656250] [adversarial loss: 0.855433, acc: 0.406250] 23482: [discriminator loss: 0.555677, acc: 0.718750] [adversarial loss: 1.290827, acc: 0.156250] 23483: [discriminator loss: 0.573602, acc: 0.687500] [adversarial loss: 1.258721, acc: 0.234375] 23484: [discriminator loss: 0.527882, acc: 0.734375] [adversarial loss: 1.288984, acc: 0.296875] 23485: [discriminator loss: 0.550923, acc: 0.695312] [adversarial loss: 1.059460, acc: 0.328125] 23486: [discriminator loss: 0.614606, acc: 0.648438] [adversarial loss: 1.121275, acc: 0.218750] 23487: [discriminator loss: 0.506925, acc: 0.796875] [adversarial loss: 1.361455, acc: 0.187500] 23488: [discriminator loss: 0.517264, acc: 0.734375] [adversarial loss: 0.984750, acc: 0.375000] 23489: [discriminator loss: 0.516481, acc: 0.765625] [adversarial loss: 1.436712, acc: 0.203125] 23490: [discriminator loss: 0.555164, acc: 0.734375] [adversarial loss: 0.927196, acc: 0.375000] 23491: [discriminator loss: 0.555916, acc: 0.671875] [adversarial loss: 1.597609, acc: 0.109375] 23492: [discriminator loss: 0.581087, acc: 0.664062] [adversarial loss: 0.962061, acc: 0.375000] 23493: [discriminator loss: 0.542013, acc: 0.718750] [adversarial loss: 1.701858, acc: 0.078125] 23494: [discriminator loss: 0.599159, acc: 0.632812] [adversarial loss: 0.951893, acc: 0.406250] 23495: [discriminator loss: 0.541766, acc: 0.750000] [adversarial loss: 1.791068, acc: 0.062500] 23496: [discriminator loss: 0.540357, acc: 0.703125] [adversarial loss: 1.162133, acc: 0.203125] 23497: [discriminator loss: 0.532572, acc: 0.703125] [adversarial loss: 1.359582, acc: 0.125000] 23498: [discriminator loss: 0.509807, acc: 0.773438] [adversarial loss: 1.243129, acc: 0.187500] 23499: [discriminator loss: 0.609095, acc: 0.640625] [adversarial loss: 1.055369, acc: 0.312500] 23500: [discriminator loss: 0.585474, acc: 0.664062] [adversarial loss: 1.195192, acc: 0.250000] 23501: [discriminator loss: 0.526490, acc: 0.710938] [adversarial loss: 0.696419, acc: 0.578125] 23502: [discriminator loss: 0.562133, acc: 0.679688] [adversarial loss: 1.308411, acc: 0.218750] 23503: [discriminator loss: 0.495623, acc: 0.781250] [adversarial loss: 1.131167, acc: 0.281250] 23504: [discriminator loss: 0.513300, acc: 0.757812] [adversarial loss: 1.132839, acc: 0.296875] 23505: [discriminator loss: 0.490556, acc: 0.773438] [adversarial loss: 1.148756, acc: 0.187500] 23506: [discriminator loss: 0.445444, acc: 0.796875] [adversarial loss: 1.001061, acc: 0.328125] 23507: [discriminator loss: 0.555761, acc: 0.710938] [adversarial loss: 0.918711, acc: 0.421875] 23508: [discriminator loss: 0.505904, acc: 0.812500] [adversarial loss: 1.244456, acc: 0.171875] 23509: [discriminator loss: 0.512196, acc: 0.710938] [adversarial loss: 1.080736, acc: 0.375000] 23510: [discriminator loss: 0.558709, acc: 0.695312] [adversarial loss: 1.703837, acc: 0.031250] 23511: [discriminator loss: 0.647680, acc: 0.570312] [adversarial loss: 0.705897, acc: 0.640625] 23512: [discriminator loss: 0.568615, acc: 0.695312] [adversarial loss: 1.292238, acc: 0.218750] 23513: [discriminator loss: 0.567536, acc: 0.671875] [adversarial loss: 0.848402, acc: 0.468750] 23514: [discriminator loss: 0.550278, acc: 0.726562] [adversarial loss: 1.197889, acc: 0.218750] 23515: [discriminator loss: 0.523264, acc: 0.750000] [adversarial loss: 1.080713, acc: 0.265625] 23516: [discriminator loss: 0.517556, acc: 0.750000] [adversarial loss: 1.184531, acc: 0.250000] 23517: [discriminator loss: 0.542072, acc: 0.687500] [adversarial loss: 0.953816, acc: 0.468750] 23518: [discriminator loss: 0.577229, acc: 0.695312] [adversarial loss: 1.522895, acc: 0.093750] 23519: [discriminator loss: 0.565804, acc: 0.750000] [adversarial loss: 0.946516, acc: 0.375000] 23520: [discriminator loss: 0.559631, acc: 0.679688] [adversarial loss: 1.181545, acc: 0.281250] 23521: [discriminator loss: 0.513999, acc: 0.812500] [adversarial loss: 0.974825, acc: 0.375000] 23522: [discriminator loss: 0.519791, acc: 0.742188] [adversarial loss: 1.029033, acc: 0.375000] 23523: [discriminator loss: 0.539400, acc: 0.703125] [adversarial loss: 1.247232, acc: 0.218750] 23524: [discriminator loss: 0.516655, acc: 0.734375] [adversarial loss: 1.068077, acc: 0.265625] 23525: [discriminator loss: 0.538490, acc: 0.750000] [adversarial loss: 1.850528, acc: 0.078125] 23526: [discriminator loss: 0.582018, acc: 0.664062] [adversarial loss: 0.705890, acc: 0.500000] 23527: [discriminator loss: 0.581102, acc: 0.718750] [adversarial loss: 1.845993, acc: 0.078125] 23528: [discriminator loss: 0.614172, acc: 0.632812] [adversarial loss: 0.908777, acc: 0.515625] 23529: [discriminator loss: 0.596069, acc: 0.664062] [adversarial loss: 1.487441, acc: 0.187500] 23530: [discriminator loss: 0.552127, acc: 0.703125] [adversarial loss: 1.068416, acc: 0.281250] 23531: [discriminator loss: 0.510870, acc: 0.718750] [adversarial loss: 1.213925, acc: 0.171875] 23532: [discriminator loss: 0.555393, acc: 0.718750] [adversarial loss: 1.082556, acc: 0.281250] 23533: [discriminator loss: 0.539073, acc: 0.695312] [adversarial loss: 1.588696, acc: 0.093750] 23534: [discriminator loss: 0.505694, acc: 0.789062] [adversarial loss: 1.080228, acc: 0.312500] 23535: [discriminator loss: 0.521569, acc: 0.742188] [adversarial loss: 1.678799, acc: 0.093750] 23536: [discriminator loss: 0.480439, acc: 0.789062] [adversarial loss: 1.062813, acc: 0.312500] 23537: [discriminator loss: 0.525789, acc: 0.695312] [adversarial loss: 1.725933, acc: 0.078125] 23538: [discriminator loss: 0.512851, acc: 0.710938] [adversarial loss: 0.766128, acc: 0.515625] 23539: [discriminator loss: 0.567027, acc: 0.703125] [adversarial loss: 1.596158, acc: 0.109375] 23540: [discriminator loss: 0.552232, acc: 0.687500] [adversarial loss: 0.843722, acc: 0.421875] 23541: [discriminator loss: 0.521624, acc: 0.726562] [adversarial loss: 1.642556, acc: 0.062500] 23542: [discriminator loss: 0.542013, acc: 0.687500] [adversarial loss: 0.877425, acc: 0.406250] 23543: [discriminator loss: 0.578927, acc: 0.695312] [adversarial loss: 1.269645, acc: 0.187500] 23544: [discriminator loss: 0.526970, acc: 0.687500] [adversarial loss: 1.264130, acc: 0.265625] 23545: [discriminator loss: 0.513620, acc: 0.726562] [adversarial loss: 0.995822, acc: 0.328125] 23546: [discriminator loss: 0.536520, acc: 0.710938] [adversarial loss: 1.151577, acc: 0.312500] 23547: [discriminator loss: 0.484745, acc: 0.734375] [adversarial loss: 1.196441, acc: 0.203125] 23548: [discriminator loss: 0.575243, acc: 0.679688] [adversarial loss: 1.376913, acc: 0.171875] 23549: [discriminator loss: 0.503551, acc: 0.773438] [adversarial loss: 0.951258, acc: 0.390625] 23550: [discriminator loss: 0.506438, acc: 0.773438] [adversarial loss: 1.263277, acc: 0.281250] 23551: [discriminator loss: 0.574640, acc: 0.679688] [adversarial loss: 1.119076, acc: 0.296875] 23552: [discriminator loss: 0.522759, acc: 0.765625] [adversarial loss: 1.109934, acc: 0.390625] 23553: [discriminator loss: 0.526238, acc: 0.734375] [adversarial loss: 1.194061, acc: 0.296875] 23554: [discriminator loss: 0.576454, acc: 0.679688] [adversarial loss: 1.167111, acc: 0.296875] 23555: [discriminator loss: 0.603871, acc: 0.687500] [adversarial loss: 1.200910, acc: 0.140625] 23556: [discriminator loss: 0.449170, acc: 0.804688] [adversarial loss: 0.972670, acc: 0.390625] 23557: [discriminator loss: 0.503478, acc: 0.750000] [adversarial loss: 1.749725, acc: 0.125000] 23558: [discriminator loss: 0.651269, acc: 0.664062] [adversarial loss: 0.723985, acc: 0.531250] 23559: [discriminator loss: 0.600300, acc: 0.664062] [adversarial loss: 1.630400, acc: 0.109375] 23560: [discriminator loss: 0.506774, acc: 0.750000] [adversarial loss: 0.944346, acc: 0.375000] 23561: [discriminator loss: 0.545099, acc: 0.703125] [adversarial loss: 1.725327, acc: 0.109375] 23562: [discriminator loss: 0.504871, acc: 0.703125] [adversarial loss: 0.923052, acc: 0.468750] 23563: [discriminator loss: 0.559597, acc: 0.710938] [adversarial loss: 1.308563, acc: 0.156250] 23564: [discriminator loss: 0.558606, acc: 0.703125] [adversarial loss: 1.153621, acc: 0.281250] 23565: [discriminator loss: 0.471578, acc: 0.742188] [adversarial loss: 1.342212, acc: 0.171875] 23566: [discriminator loss: 0.515692, acc: 0.695312] [adversarial loss: 1.184227, acc: 0.218750] 23567: [discriminator loss: 0.521733, acc: 0.781250] [adversarial loss: 1.121383, acc: 0.296875] 23568: [discriminator loss: 0.522180, acc: 0.804688] [adversarial loss: 1.335316, acc: 0.203125] 23569: [discriminator loss: 0.520097, acc: 0.742188] [adversarial loss: 1.069954, acc: 0.296875] 23570: [discriminator loss: 0.519836, acc: 0.742188] [adversarial loss: 1.383475, acc: 0.218750] 23571: [discriminator loss: 0.590324, acc: 0.648438] [adversarial loss: 0.899933, acc: 0.484375] 23572: [discriminator loss: 0.598349, acc: 0.687500] [adversarial loss: 1.780538, acc: 0.062500] 23573: [discriminator loss: 0.574587, acc: 0.648438] [adversarial loss: 0.764341, acc: 0.609375] 23574: [discriminator loss: 0.540627, acc: 0.742188] [adversarial loss: 1.495013, acc: 0.156250] 23575: [discriminator loss: 0.547777, acc: 0.718750] [adversarial loss: 1.213009, acc: 0.187500] 23576: [discriminator loss: 0.556027, acc: 0.718750] [adversarial loss: 1.036146, acc: 0.312500] 23577: [discriminator loss: 0.554686, acc: 0.671875] [adversarial loss: 1.368046, acc: 0.203125] 23578: [discriminator loss: 0.506828, acc: 0.750000] [adversarial loss: 0.941032, acc: 0.375000] 23579: [discriminator loss: 0.493792, acc: 0.726562] [adversarial loss: 1.778958, acc: 0.093750] 23580: [discriminator loss: 0.543602, acc: 0.695312] [adversarial loss: 0.928708, acc: 0.343750] 23581: [discriminator loss: 0.616513, acc: 0.718750] [adversarial loss: 1.306053, acc: 0.187500] 23582: [discriminator loss: 0.526686, acc: 0.718750] [adversarial loss: 1.361020, acc: 0.218750] 23583: [discriminator loss: 0.469092, acc: 0.757812] [adversarial loss: 1.237958, acc: 0.328125] 23584: [discriminator loss: 0.551132, acc: 0.695312] [adversarial loss: 1.334460, acc: 0.250000] 23585: [discriminator loss: 0.563275, acc: 0.695312] [adversarial loss: 1.145435, acc: 0.296875] 23586: [discriminator loss: 0.587386, acc: 0.703125] [adversarial loss: 1.147507, acc: 0.265625] 23587: [discriminator loss: 0.548617, acc: 0.695312] [adversarial loss: 1.299529, acc: 0.156250] 23588: [discriminator loss: 0.515937, acc: 0.750000] [adversarial loss: 1.230098, acc: 0.281250] 23589: [discriminator loss: 0.569537, acc: 0.703125] [adversarial loss: 1.229223, acc: 0.281250] 23590: [discriminator loss: 0.513735, acc: 0.703125] [adversarial loss: 1.237765, acc: 0.265625] 23591: [discriminator loss: 0.495109, acc: 0.742188] [adversarial loss: 1.545062, acc: 0.062500] 23592: [discriminator loss: 0.549047, acc: 0.703125] [adversarial loss: 0.943767, acc: 0.406250] 23593: [discriminator loss: 0.552494, acc: 0.695312] [adversarial loss: 1.380826, acc: 0.203125] 23594: [discriminator loss: 0.479330, acc: 0.742188] [adversarial loss: 1.150962, acc: 0.312500] 23595: [discriminator loss: 0.578870, acc: 0.718750] [adversarial loss: 1.088998, acc: 0.250000] 23596: [discriminator loss: 0.531505, acc: 0.718750] [adversarial loss: 1.065243, acc: 0.296875] 23597: [discriminator loss: 0.554597, acc: 0.679688] [adversarial loss: 0.872220, acc: 0.406250] 23598: [discriminator loss: 0.615476, acc: 0.664062] [adversarial loss: 1.486244, acc: 0.156250] 23599: [discriminator loss: 0.610262, acc: 0.656250] [adversarial loss: 0.743075, acc: 0.531250] 23600: [discriminator loss: 0.622859, acc: 0.671875] [adversarial loss: 1.613543, acc: 0.046875] 23601: [discriminator loss: 0.566881, acc: 0.695312] [adversarial loss: 0.726859, acc: 0.562500] 23602: [discriminator loss: 0.488417, acc: 0.734375] [adversarial loss: 1.651350, acc: 0.093750] 23603: [discriminator loss: 0.472115, acc: 0.773438] [adversarial loss: 1.027397, acc: 0.265625] 23604: [discriminator loss: 0.494967, acc: 0.757812] [adversarial loss: 1.144431, acc: 0.390625] 23605: [discriminator loss: 0.481703, acc: 0.718750] [adversarial loss: 1.198484, acc: 0.250000] 23606: [discriminator loss: 0.503569, acc: 0.765625] [adversarial loss: 1.228839, acc: 0.140625] 23607: [discriminator loss: 0.541978, acc: 0.742188] [adversarial loss: 1.211306, acc: 0.250000] 23608: [discriminator loss: 0.496764, acc: 0.757812] [adversarial loss: 0.999941, acc: 0.312500] 23609: [discriminator loss: 0.529834, acc: 0.695312] [adversarial loss: 1.322099, acc: 0.171875] 23610: [discriminator loss: 0.567739, acc: 0.695312] [adversarial loss: 0.781572, acc: 0.578125] 23611: [discriminator loss: 0.501253, acc: 0.726562] [adversarial loss: 1.411838, acc: 0.203125] 23612: [discriminator loss: 0.638906, acc: 0.695312] [adversarial loss: 1.005584, acc: 0.375000] 23613: [discriminator loss: 0.552763, acc: 0.734375] [adversarial loss: 1.355627, acc: 0.078125] 23614: [discriminator loss: 0.544995, acc: 0.726562] [adversarial loss: 0.798808, acc: 0.531250] 23615: [discriminator loss: 0.578675, acc: 0.726562] [adversarial loss: 1.554991, acc: 0.093750] 23616: [discriminator loss: 0.515543, acc: 0.757812] [adversarial loss: 1.013148, acc: 0.343750] 23617: [discriminator loss: 0.470018, acc: 0.757812] [adversarial loss: 1.442818, acc: 0.187500] 23618: [discriminator loss: 0.453580, acc: 0.804688] [adversarial loss: 1.284761, acc: 0.218750] 23619: [discriminator loss: 0.473500, acc: 0.765625] [adversarial loss: 1.378403, acc: 0.218750] 23620: [discriminator loss: 0.543049, acc: 0.687500] [adversarial loss: 1.235528, acc: 0.156250] 23621: [discriminator loss: 0.502114, acc: 0.718750] [adversarial loss: 1.147443, acc: 0.328125] 23622: [discriminator loss: 0.505983, acc: 0.750000] [adversarial loss: 1.162577, acc: 0.359375] 23623: [discriminator loss: 0.528359, acc: 0.734375] [adversarial loss: 0.956994, acc: 0.406250] 23624: [discriminator loss: 0.517963, acc: 0.773438] [adversarial loss: 1.539650, acc: 0.171875] 23625: [discriminator loss: 0.558011, acc: 0.710938] [adversarial loss: 0.898238, acc: 0.500000] 23626: [discriminator loss: 0.614677, acc: 0.648438] [adversarial loss: 1.674529, acc: 0.062500] 23627: [discriminator loss: 0.517108, acc: 0.703125] [adversarial loss: 0.941441, acc: 0.453125] 23628: [discriminator loss: 0.606915, acc: 0.671875] [adversarial loss: 1.643602, acc: 0.109375] 23629: [discriminator loss: 0.539183, acc: 0.726562] [adversarial loss: 1.115358, acc: 0.234375] 23630: [discriminator loss: 0.512475, acc: 0.734375] [adversarial loss: 1.512732, acc: 0.125000] 23631: [discriminator loss: 0.525056, acc: 0.710938] [adversarial loss: 1.177028, acc: 0.234375] 23632: [discriminator loss: 0.558660, acc: 0.703125] [adversarial loss: 1.079813, acc: 0.265625] 23633: [discriminator loss: 0.517513, acc: 0.773438] [adversarial loss: 1.262264, acc: 0.265625] 23634: [discriminator loss: 0.512717, acc: 0.757812] [adversarial loss: 1.114898, acc: 0.343750] 23635: [discriminator loss: 0.564470, acc: 0.726562] [adversarial loss: 1.328880, acc: 0.156250] 23636: [discriminator loss: 0.505960, acc: 0.757812] [adversarial loss: 1.164067, acc: 0.234375] 23637: [discriminator loss: 0.553099, acc: 0.718750] [adversarial loss: 1.522503, acc: 0.203125] 23638: [discriminator loss: 0.457331, acc: 0.789062] [adversarial loss: 0.977330, acc: 0.437500] 23639: [discriminator loss: 0.537035, acc: 0.726562] [adversarial loss: 1.421052, acc: 0.187500] 23640: [discriminator loss: 0.572971, acc: 0.703125] [adversarial loss: 1.034627, acc: 0.343750] 23641: [discriminator loss: 0.534385, acc: 0.726562] [adversarial loss: 1.342072, acc: 0.187500] 23642: [discriminator loss: 0.508134, acc: 0.781250] [adversarial loss: 1.134554, acc: 0.281250] 23643: [discriminator loss: 0.511719, acc: 0.703125] [adversarial loss: 1.335400, acc: 0.234375] 23644: [discriminator loss: 0.572404, acc: 0.679688] [adversarial loss: 1.099575, acc: 0.343750] 23645: [discriminator loss: 0.486925, acc: 0.726562] [adversarial loss: 1.039436, acc: 0.390625] 23646: [discriminator loss: 0.588623, acc: 0.726562] [adversarial loss: 1.240679, acc: 0.203125] 23647: [discriminator loss: 0.499920, acc: 0.726562] [adversarial loss: 1.023165, acc: 0.375000] 23648: [discriminator loss: 0.481373, acc: 0.742188] [adversarial loss: 1.382062, acc: 0.109375] 23649: [discriminator loss: 0.500044, acc: 0.734375] [adversarial loss: 1.149029, acc: 0.343750] 23650: [discriminator loss: 0.514091, acc: 0.781250] [adversarial loss: 1.040205, acc: 0.359375] 23651: [discriminator loss: 0.616578, acc: 0.671875] [adversarial loss: 1.815137, acc: 0.109375] 23652: [discriminator loss: 0.596148, acc: 0.656250] [adversarial loss: 0.926172, acc: 0.406250] 23653: [discriminator loss: 0.615717, acc: 0.625000] [adversarial loss: 1.436199, acc: 0.093750] 23654: [discriminator loss: 0.528414, acc: 0.718750] [adversarial loss: 0.841057, acc: 0.484375] 23655: [discriminator loss: 0.577119, acc: 0.718750] [adversarial loss: 1.298905, acc: 0.203125] 23656: [discriminator loss: 0.512252, acc: 0.695312] [adversarial loss: 1.192597, acc: 0.328125] 23657: [discriminator loss: 0.605934, acc: 0.718750] [adversarial loss: 1.121832, acc: 0.296875] 23658: [discriminator loss: 0.488181, acc: 0.781250] [adversarial loss: 1.280916, acc: 0.187500] 23659: [discriminator loss: 0.531205, acc: 0.789062] [adversarial loss: 1.390094, acc: 0.171875] 23660: [discriminator loss: 0.546163, acc: 0.726562] [adversarial loss: 0.888969, acc: 0.500000] 23661: [discriminator loss: 0.555990, acc: 0.742188] [adversarial loss: 1.435513, acc: 0.062500] 23662: [discriminator loss: 0.594112, acc: 0.671875] [adversarial loss: 0.828202, acc: 0.500000] 23663: [discriminator loss: 0.591591, acc: 0.687500] [adversarial loss: 1.207082, acc: 0.218750] 23664: [discriminator loss: 0.511465, acc: 0.765625] [adversarial loss: 0.797959, acc: 0.484375] 23665: [discriminator loss: 0.549534, acc: 0.726562] [adversarial loss: 1.173038, acc: 0.250000] 23666: [discriminator loss: 0.488840, acc: 0.718750] [adversarial loss: 0.946901, acc: 0.390625] 23667: [discriminator loss: 0.477120, acc: 0.781250] [adversarial loss: 1.062191, acc: 0.265625] 23668: [discriminator loss: 0.558149, acc: 0.757812] [adversarial loss: 1.176460, acc: 0.203125] 23669: [discriminator loss: 0.503264, acc: 0.757812] [adversarial loss: 1.219291, acc: 0.234375] 23670: [discriminator loss: 0.507314, acc: 0.734375] [adversarial loss: 1.272281, acc: 0.171875] 23671: [discriminator loss: 0.581017, acc: 0.734375] [adversarial loss: 1.212276, acc: 0.250000] 23672: [discriminator loss: 0.449942, acc: 0.773438] [adversarial loss: 1.078992, acc: 0.281250] 23673: [discriminator loss: 0.537144, acc: 0.718750] [adversarial loss: 1.311002, acc: 0.171875] 23674: [discriminator loss: 0.542517, acc: 0.718750] [adversarial loss: 1.060355, acc: 0.375000] 23675: [discriminator loss: 0.520511, acc: 0.812500] [adversarial loss: 1.537858, acc: 0.093750] 23676: [discriminator loss: 0.551345, acc: 0.718750] [adversarial loss: 1.232351, acc: 0.203125] 23677: [discriminator loss: 0.531853, acc: 0.734375] [adversarial loss: 1.474490, acc: 0.062500] 23678: [discriminator loss: 0.516243, acc: 0.757812] [adversarial loss: 0.958459, acc: 0.375000] 23679: [discriminator loss: 0.556953, acc: 0.687500] [adversarial loss: 1.777928, acc: 0.062500] 23680: [discriminator loss: 0.536145, acc: 0.679688] [adversarial loss: 0.930320, acc: 0.421875] 23681: [discriminator loss: 0.549881, acc: 0.742188] [adversarial loss: 1.672897, acc: 0.109375] 23682: [discriminator loss: 0.663483, acc: 0.640625] [adversarial loss: 0.781506, acc: 0.578125] 23683: [discriminator loss: 0.648212, acc: 0.671875] [adversarial loss: 1.636837, acc: 0.078125] 23684: [discriminator loss: 0.641761, acc: 0.656250] [adversarial loss: 0.835468, acc: 0.484375] 23685: [discriminator loss: 0.603451, acc: 0.671875] [adversarial loss: 1.327122, acc: 0.250000] 23686: [discriminator loss: 0.558814, acc: 0.718750] [adversarial loss: 0.842097, acc: 0.515625] 23687: [discriminator loss: 0.504721, acc: 0.734375] [adversarial loss: 1.291424, acc: 0.203125] 23688: [discriminator loss: 0.573791, acc: 0.648438] [adversarial loss: 0.907487, acc: 0.437500] 23689: [discriminator loss: 0.546489, acc: 0.718750] [adversarial loss: 1.247397, acc: 0.203125] 23690: [discriminator loss: 0.537923, acc: 0.695312] [adversarial loss: 0.958489, acc: 0.406250] 23691: [discriminator loss: 0.481748, acc: 0.804688] [adversarial loss: 1.366268, acc: 0.125000] 23692: [discriminator loss: 0.555731, acc: 0.687500] [adversarial loss: 0.962862, acc: 0.359375] 23693: [discriminator loss: 0.511811, acc: 0.765625] [adversarial loss: 1.640742, acc: 0.062500] 23694: [discriminator loss: 0.565398, acc: 0.695312] [adversarial loss: 0.859512, acc: 0.375000] 23695: [discriminator loss: 0.613577, acc: 0.687500] [adversarial loss: 1.517063, acc: 0.109375] 23696: [discriminator loss: 0.508539, acc: 0.703125] [adversarial loss: 1.060124, acc: 0.359375] 23697: [discriminator loss: 0.559283, acc: 0.710938] [adversarial loss: 1.344419, acc: 0.203125] 23698: [discriminator loss: 0.557750, acc: 0.695312] [adversarial loss: 0.892726, acc: 0.343750] 23699: [discriminator loss: 0.491046, acc: 0.734375] [adversarial loss: 1.397356, acc: 0.203125] 23700: [discriminator loss: 0.525538, acc: 0.742188] [adversarial loss: 0.997248, acc: 0.343750] 23701: [discriminator loss: 0.510528, acc: 0.742188] [adversarial loss: 1.348495, acc: 0.203125] 23702: [discriminator loss: 0.458744, acc: 0.781250] [adversarial loss: 0.841172, acc: 0.468750] 23703: [discriminator loss: 0.549903, acc: 0.695312] [adversarial loss: 1.700845, acc: 0.046875] 23704: [discriminator loss: 0.511598, acc: 0.750000] [adversarial loss: 0.945308, acc: 0.390625] 23705: [discriminator loss: 0.542830, acc: 0.718750] [adversarial loss: 1.482514, acc: 0.187500] 23706: [discriminator loss: 0.617369, acc: 0.601562] [adversarial loss: 1.021550, acc: 0.406250] 23707: [discriminator loss: 0.587911, acc: 0.695312] [adversarial loss: 1.309914, acc: 0.218750] 23708: [discriminator loss: 0.534906, acc: 0.734375] [adversarial loss: 1.198421, acc: 0.218750] 23709: [discriminator loss: 0.510914, acc: 0.765625] [adversarial loss: 1.109558, acc: 0.312500] 23710: [discriminator loss: 0.632195, acc: 0.625000] [adversarial loss: 1.401073, acc: 0.156250] 23711: [discriminator loss: 0.541984, acc: 0.703125] [adversarial loss: 0.990843, acc: 0.421875] 23712: [discriminator loss: 0.515189, acc: 0.695312] [adversarial loss: 1.190085, acc: 0.312500] 23713: [discriminator loss: 0.507686, acc: 0.757812] [adversarial loss: 1.161764, acc: 0.250000] 23714: [discriminator loss: 0.467935, acc: 0.781250] [adversarial loss: 1.185745, acc: 0.250000] 23715: [discriminator loss: 0.545536, acc: 0.710938] [adversarial loss: 1.141438, acc: 0.156250] 23716: [discriminator loss: 0.548019, acc: 0.703125] [adversarial loss: 1.249319, acc: 0.234375] 23717: [discriminator loss: 0.474318, acc: 0.757812] [adversarial loss: 1.140623, acc: 0.234375] 23718: [discriminator loss: 0.552309, acc: 0.718750] [adversarial loss: 1.333375, acc: 0.265625] 23719: [discriminator loss: 0.484442, acc: 0.757812] [adversarial loss: 1.006195, acc: 0.359375] 23720: [discriminator loss: 0.471370, acc: 0.773438] [adversarial loss: 0.906895, acc: 0.468750] 23721: [discriminator loss: 0.529837, acc: 0.742188] [adversarial loss: 1.357901, acc: 0.234375] 23722: [discriminator loss: 0.497869, acc: 0.726562] [adversarial loss: 0.690423, acc: 0.609375] 23723: [discriminator loss: 0.487203, acc: 0.757812] [adversarial loss: 1.500601, acc: 0.140625] 23724: [discriminator loss: 0.513320, acc: 0.687500] [adversarial loss: 0.599051, acc: 0.656250] 23725: [discriminator loss: 0.465100, acc: 0.773438] [adversarial loss: 1.353140, acc: 0.234375] 23726: [discriminator loss: 0.466136, acc: 0.750000] [adversarial loss: 0.702475, acc: 0.578125] 23727: [discriminator loss: 0.498356, acc: 0.703125] [adversarial loss: 1.296974, acc: 0.234375] 23728: [discriminator loss: 0.533491, acc: 0.710938] [adversarial loss: 0.975716, acc: 0.437500] 23729: [discriminator loss: 0.447090, acc: 0.828125] [adversarial loss: 1.434908, acc: 0.234375] 23730: [discriminator loss: 0.494869, acc: 0.742188] [adversarial loss: 0.994923, acc: 0.359375] 23731: [discriminator loss: 0.572196, acc: 0.734375] [adversarial loss: 1.527637, acc: 0.125000] 23732: [discriminator loss: 0.518564, acc: 0.710938] [adversarial loss: 1.033693, acc: 0.375000] 23733: [discriminator loss: 0.554704, acc: 0.703125] [adversarial loss: 1.335888, acc: 0.187500] 23734: [discriminator loss: 0.512897, acc: 0.765625] [adversarial loss: 1.002868, acc: 0.421875] 23735: [discriminator loss: 0.533235, acc: 0.687500] [adversarial loss: 1.035362, acc: 0.343750] 23736: [discriminator loss: 0.539765, acc: 0.726562] [adversarial loss: 1.218260, acc: 0.265625] 23737: [discriminator loss: 0.490865, acc: 0.750000] [adversarial loss: 0.977550, acc: 0.375000] 23738: [discriminator loss: 0.493418, acc: 0.765625] [adversarial loss: 1.326603, acc: 0.171875] 23739: [discriminator loss: 0.549922, acc: 0.687500] [adversarial loss: 0.976966, acc: 0.375000] 23740: [discriminator loss: 0.485744, acc: 0.789062] [adversarial loss: 1.204383, acc: 0.265625] 23741: [discriminator loss: 0.569869, acc: 0.679688] [adversarial loss: 1.126931, acc: 0.359375] 23742: [discriminator loss: 0.542599, acc: 0.710938] [adversarial loss: 0.988736, acc: 0.406250] 23743: [discriminator loss: 0.517289, acc: 0.742188] [adversarial loss: 1.068708, acc: 0.296875] 23744: [discriminator loss: 0.482348, acc: 0.742188] [adversarial loss: 1.469314, acc: 0.156250] 23745: [discriminator loss: 0.634503, acc: 0.640625] [adversarial loss: 0.882141, acc: 0.546875] 23746: [discriminator loss: 0.566016, acc: 0.695312] [adversarial loss: 1.781018, acc: 0.046875] 23747: [discriminator loss: 0.629656, acc: 0.617188] [adversarial loss: 0.581496, acc: 0.703125] 23748: [discriminator loss: 0.579905, acc: 0.664062] [adversarial loss: 1.514915, acc: 0.062500] 23749: [discriminator loss: 0.591432, acc: 0.679688] [adversarial loss: 0.819991, acc: 0.484375] 23750: [discriminator loss: 0.629204, acc: 0.687500] [adversarial loss: 1.481904, acc: 0.171875] 23751: [discriminator loss: 0.655111, acc: 0.640625] [adversarial loss: 0.775893, acc: 0.578125] 23752: [discriminator loss: 0.643184, acc: 0.671875] [adversarial loss: 1.772945, acc: 0.078125] 23753: [discriminator loss: 0.547022, acc: 0.687500] [adversarial loss: 0.895681, acc: 0.390625] 23754: [discriminator loss: 0.650902, acc: 0.656250] [adversarial loss: 1.272523, acc: 0.250000] 23755: [discriminator loss: 0.490666, acc: 0.781250] [adversarial loss: 1.057433, acc: 0.437500] 23756: [discriminator loss: 0.585831, acc: 0.648438] [adversarial loss: 1.195264, acc: 0.312500] 23757: [discriminator loss: 0.484929, acc: 0.765625] [adversarial loss: 1.216822, acc: 0.312500] 23758: [discriminator loss: 0.537970, acc: 0.718750] [adversarial loss: 1.228308, acc: 0.218750] 23759: [discriminator loss: 0.572824, acc: 0.695312] [adversarial loss: 1.196417, acc: 0.265625] 23760: [discriminator loss: 0.487282, acc: 0.781250] [adversarial loss: 0.940107, acc: 0.328125] 23761: [discriminator loss: 0.511756, acc: 0.742188] [adversarial loss: 1.376092, acc: 0.187500] 23762: [discriminator loss: 0.530795, acc: 0.710938] [adversarial loss: 1.084019, acc: 0.312500] 23763: [discriminator loss: 0.456231, acc: 0.789062] [adversarial loss: 1.501270, acc: 0.187500] 23764: [discriminator loss: 0.551425, acc: 0.765625] [adversarial loss: 1.051658, acc: 0.265625] 23765: [discriminator loss: 0.525220, acc: 0.757812] [adversarial loss: 1.307048, acc: 0.125000] 23766: [discriminator loss: 0.526037, acc: 0.726562] [adversarial loss: 0.934040, acc: 0.437500] 23767: [discriminator loss: 0.586479, acc: 0.679688] [adversarial loss: 1.403606, acc: 0.203125] 23768: [discriminator loss: 0.547893, acc: 0.695312] [adversarial loss: 0.965486, acc: 0.437500] 23769: [discriminator loss: 0.531097, acc: 0.742188] [adversarial loss: 1.321426, acc: 0.234375] 23770: [discriminator loss: 0.514732, acc: 0.718750] [adversarial loss: 1.148117, acc: 0.234375] 23771: [discriminator loss: 0.482149, acc: 0.750000] [adversarial loss: 1.334220, acc: 0.265625] 23772: [discriminator loss: 0.522079, acc: 0.757812] [adversarial loss: 1.176437, acc: 0.375000] 23773: [discriminator loss: 0.590060, acc: 0.703125] [adversarial loss: 1.130954, acc: 0.375000] 23774: [discriminator loss: 0.475831, acc: 0.835938] [adversarial loss: 1.186413, acc: 0.234375] 23775: [discriminator loss: 0.498783, acc: 0.757812] [adversarial loss: 1.212227, acc: 0.250000] 23776: [discriminator loss: 0.577679, acc: 0.687500] [adversarial loss: 1.061181, acc: 0.312500] 23777: [discriminator loss: 0.544253, acc: 0.687500] [adversarial loss: 1.463400, acc: 0.187500] 23778: [discriminator loss: 0.534007, acc: 0.718750] [adversarial loss: 1.205672, acc: 0.187500] 23779: [discriminator loss: 0.468707, acc: 0.734375] [adversarial loss: 1.342176, acc: 0.234375] 23780: [discriminator loss: 0.533753, acc: 0.710938] [adversarial loss: 1.158682, acc: 0.328125] 23781: [discriminator loss: 0.489115, acc: 0.765625] [adversarial loss: 1.280866, acc: 0.234375] 23782: [discriminator loss: 0.517485, acc: 0.781250] [adversarial loss: 1.020712, acc: 0.375000] 23783: [discriminator loss: 0.481517, acc: 0.796875] [adversarial loss: 1.396393, acc: 0.171875] 23784: [discriminator loss: 0.505873, acc: 0.726562] [adversarial loss: 0.959720, acc: 0.343750] 23785: [discriminator loss: 0.594464, acc: 0.703125] [adversarial loss: 1.420134, acc: 0.171875] 23786: [discriminator loss: 0.553189, acc: 0.718750] [adversarial loss: 0.832909, acc: 0.437500] 23787: [discriminator loss: 0.468412, acc: 0.796875] [adversarial loss: 1.876699, acc: 0.078125] 23788: [discriminator loss: 0.562020, acc: 0.703125] [adversarial loss: 0.897124, acc: 0.484375] 23789: [discriminator loss: 0.551290, acc: 0.718750] [adversarial loss: 1.398022, acc: 0.062500] 23790: [discriminator loss: 0.551159, acc: 0.726562] [adversarial loss: 0.795560, acc: 0.500000] 23791: [discriminator loss: 0.626226, acc: 0.656250] [adversarial loss: 1.396915, acc: 0.109375] 23792: [discriminator loss: 0.502378, acc: 0.757812] [adversarial loss: 1.247353, acc: 0.187500] 23793: [discriminator loss: 0.517111, acc: 0.750000] [adversarial loss: 1.284873, acc: 0.156250] 23794: [discriminator loss: 0.621879, acc: 0.687500] [adversarial loss: 1.880134, acc: 0.015625] 23795: [discriminator loss: 0.507938, acc: 0.742188] [adversarial loss: 1.012920, acc: 0.343750] 23796: [discriminator loss: 0.491417, acc: 0.757812] [adversarial loss: 1.192539, acc: 0.234375] 23797: [discriminator loss: 0.471331, acc: 0.742188] [adversarial loss: 1.099833, acc: 0.343750] 23798: [discriminator loss: 0.495340, acc: 0.750000] [adversarial loss: 1.348893, acc: 0.125000] 23799: [discriminator loss: 0.571431, acc: 0.671875] [adversarial loss: 0.953997, acc: 0.484375] 23800: [discriminator loss: 0.598815, acc: 0.695312] [adversarial loss: 1.443915, acc: 0.171875] 23801: [discriminator loss: 0.588764, acc: 0.671875] [adversarial loss: 0.869147, acc: 0.453125] 23802: [discriminator loss: 0.554016, acc: 0.703125] [adversarial loss: 1.391585, acc: 0.078125] 23803: [discriminator loss: 0.510695, acc: 0.734375] [adversarial loss: 1.038092, acc: 0.390625] 23804: [discriminator loss: 0.520641, acc: 0.734375] [adversarial loss: 1.418319, acc: 0.125000] 23805: [discriminator loss: 0.512265, acc: 0.734375] [adversarial loss: 1.055586, acc: 0.390625] 23806: [discriminator loss: 0.449106, acc: 0.757812] [adversarial loss: 1.304774, acc: 0.171875] 23807: [discriminator loss: 0.542773, acc: 0.718750] [adversarial loss: 0.898916, acc: 0.468750] 23808: [discriminator loss: 0.555664, acc: 0.710938] [adversarial loss: 1.506727, acc: 0.093750] 23809: [discriminator loss: 0.523084, acc: 0.695312] [adversarial loss: 0.864333, acc: 0.437500] 23810: [discriminator loss: 0.578208, acc: 0.710938] [adversarial loss: 1.447206, acc: 0.203125] 23811: [discriminator loss: 0.531541, acc: 0.773438] [adversarial loss: 0.950275, acc: 0.421875] 23812: [discriminator loss: 0.523134, acc: 0.750000] [adversarial loss: 1.399561, acc: 0.171875] 23813: [discriminator loss: 0.484126, acc: 0.757812] [adversarial loss: 1.045413, acc: 0.375000] 23814: [discriminator loss: 0.557602, acc: 0.718750] [adversarial loss: 1.446867, acc: 0.125000] 23815: [discriminator loss: 0.511720, acc: 0.757812] [adversarial loss: 1.077568, acc: 0.343750] 23816: [discriminator loss: 0.477588, acc: 0.781250] [adversarial loss: 1.805345, acc: 0.140625] 23817: [discriminator loss: 0.577875, acc: 0.679688] [adversarial loss: 0.953644, acc: 0.406250] 23818: [discriminator loss: 0.568566, acc: 0.703125] [adversarial loss: 1.803775, acc: 0.078125] 23819: [discriminator loss: 0.543359, acc: 0.734375] [adversarial loss: 0.930170, acc: 0.437500] 23820: [discriminator loss: 0.547100, acc: 0.710938] [adversarial loss: 1.557163, acc: 0.140625] 23821: [discriminator loss: 0.587076, acc: 0.671875] [adversarial loss: 1.107137, acc: 0.406250] 23822: [discriminator loss: 0.672574, acc: 0.625000] [adversarial loss: 1.233053, acc: 0.156250] 23823: [discriminator loss: 0.505349, acc: 0.773438] [adversarial loss: 1.201525, acc: 0.312500] 23824: [discriminator loss: 0.548290, acc: 0.695312] [adversarial loss: 1.324867, acc: 0.218750] 23825: [discriminator loss: 0.543598, acc: 0.734375] [adversarial loss: 0.923551, acc: 0.406250] 23826: [discriminator loss: 0.643783, acc: 0.664062] [adversarial loss: 1.436092, acc: 0.203125] 23827: [discriminator loss: 0.565127, acc: 0.656250] [adversarial loss: 0.836868, acc: 0.531250] 23828: [discriminator loss: 0.617142, acc: 0.671875] [adversarial loss: 1.741437, acc: 0.109375] 23829: [discriminator loss: 0.557889, acc: 0.687500] [adversarial loss: 1.050336, acc: 0.281250] 23830: [discriminator loss: 0.537158, acc: 0.710938] [adversarial loss: 1.161059, acc: 0.218750] 23831: [discriminator loss: 0.528731, acc: 0.742188] [adversarial loss: 1.028280, acc: 0.281250] 23832: [discriminator loss: 0.485742, acc: 0.742188] [adversarial loss: 1.083983, acc: 0.296875] 23833: [discriminator loss: 0.429457, acc: 0.812500] [adversarial loss: 1.749557, acc: 0.109375] 23834: [discriminator loss: 0.563736, acc: 0.679688] [adversarial loss: 0.904345, acc: 0.406250] 23835: [discriminator loss: 0.542664, acc: 0.742188] [adversarial loss: 1.300318, acc: 0.125000] 23836: [discriminator loss: 0.513031, acc: 0.726562] [adversarial loss: 0.920907, acc: 0.406250] 23837: [discriminator loss: 0.487628, acc: 0.726562] [adversarial loss: 1.598023, acc: 0.171875] 23838: [discriminator loss: 0.572175, acc: 0.695312] [adversarial loss: 1.060905, acc: 0.375000] 23839: [discriminator loss: 0.575542, acc: 0.671875] [adversarial loss: 1.923631, acc: 0.062500] 23840: [discriminator loss: 0.624003, acc: 0.601562] [adversarial loss: 0.716479, acc: 0.609375] 23841: [discriminator loss: 0.588190, acc: 0.695312] [adversarial loss: 1.729692, acc: 0.109375] 23842: [discriminator loss: 0.642077, acc: 0.671875] [adversarial loss: 0.864936, acc: 0.500000] 23843: [discriminator loss: 0.512182, acc: 0.742188] [adversarial loss: 1.271707, acc: 0.171875] 23844: [discriminator loss: 0.501920, acc: 0.718750] [adversarial loss: 1.305695, acc: 0.218750] 23845: [discriminator loss: 0.478403, acc: 0.765625] [adversarial loss: 1.095785, acc: 0.328125] 23846: [discriminator loss: 0.587209, acc: 0.664062] [adversarial loss: 1.324525, acc: 0.203125] 23847: [discriminator loss: 0.477717, acc: 0.789062] [adversarial loss: 1.020840, acc: 0.390625] 23848: [discriminator loss: 0.540483, acc: 0.671875] [adversarial loss: 1.285004, acc: 0.203125] 23849: [discriminator loss: 0.480684, acc: 0.734375] [adversarial loss: 1.233234, acc: 0.312500] 23850: [discriminator loss: 0.605561, acc: 0.726562] [adversarial loss: 1.083104, acc: 0.343750] 23851: [discriminator loss: 0.532947, acc: 0.742188] [adversarial loss: 1.223930, acc: 0.312500] 23852: [discriminator loss: 0.513146, acc: 0.710938] [adversarial loss: 1.320357, acc: 0.203125] 23853: [discriminator loss: 0.528608, acc: 0.726562] [adversarial loss: 0.920849, acc: 0.390625] 23854: [discriminator loss: 0.559884, acc: 0.734375] [adversarial loss: 1.290576, acc: 0.203125] 23855: [discriminator loss: 0.555073, acc: 0.687500] [adversarial loss: 1.056435, acc: 0.343750] 23856: [discriminator loss: 0.572855, acc: 0.671875] [adversarial loss: 1.317849, acc: 0.296875] 23857: [discriminator loss: 0.521773, acc: 0.718750] [adversarial loss: 1.068222, acc: 0.281250] 23858: [discriminator loss: 0.514192, acc: 0.757812] [adversarial loss: 1.384818, acc: 0.171875] 23859: [discriminator loss: 0.537986, acc: 0.703125] [adversarial loss: 1.169225, acc: 0.281250] 23860: [discriminator loss: 0.442732, acc: 0.789062] [adversarial loss: 1.165408, acc: 0.281250] 23861: [discriminator loss: 0.516510, acc: 0.742188] [adversarial loss: 1.240711, acc: 0.265625] 23862: [discriminator loss: 0.513654, acc: 0.734375] [adversarial loss: 0.865867, acc: 0.515625] 23863: [discriminator loss: 0.533410, acc: 0.726562] [adversarial loss: 1.775498, acc: 0.171875] 23864: [discriminator loss: 0.607634, acc: 0.625000] [adversarial loss: 0.773237, acc: 0.609375] 23865: [discriminator loss: 0.561052, acc: 0.734375] [adversarial loss: 1.576665, acc: 0.109375] 23866: [discriminator loss: 0.517841, acc: 0.703125] [adversarial loss: 1.010381, acc: 0.359375] 23867: [discriminator loss: 0.543859, acc: 0.687500] [adversarial loss: 1.333312, acc: 0.234375] 23868: [discriminator loss: 0.504781, acc: 0.765625] [adversarial loss: 1.077637, acc: 0.375000] 23869: [discriminator loss: 0.566229, acc: 0.710938] [adversarial loss: 1.340039, acc: 0.187500] 23870: [discriminator loss: 0.611949, acc: 0.625000] [adversarial loss: 0.985798, acc: 0.421875] 23871: [discriminator loss: 0.503972, acc: 0.742188] [adversarial loss: 1.237895, acc: 0.218750] 23872: [discriminator loss: 0.547372, acc: 0.742188] [adversarial loss: 0.839568, acc: 0.437500] 23873: [discriminator loss: 0.528849, acc: 0.742188] [adversarial loss: 1.107774, acc: 0.250000] 23874: [discriminator loss: 0.562007, acc: 0.679688] [adversarial loss: 1.473065, acc: 0.125000] 23875: [discriminator loss: 0.574485, acc: 0.664062] [adversarial loss: 0.877271, acc: 0.453125] 23876: [discriminator loss: 0.533264, acc: 0.679688] [adversarial loss: 1.891042, acc: 0.046875] 23877: [discriminator loss: 0.587130, acc: 0.679688] [adversarial loss: 0.806853, acc: 0.562500] 23878: [discriminator loss: 0.479129, acc: 0.781250] [adversarial loss: 1.340731, acc: 0.125000] 23879: [discriminator loss: 0.521165, acc: 0.750000] [adversarial loss: 1.342904, acc: 0.187500] 23880: [discriminator loss: 0.500037, acc: 0.765625] [adversarial loss: 1.233444, acc: 0.187500] 23881: [discriminator loss: 0.575473, acc: 0.656250] [adversarial loss: 0.930815, acc: 0.343750] 23882: [discriminator loss: 0.554553, acc: 0.703125] [adversarial loss: 1.435666, acc: 0.203125] 23883: [discriminator loss: 0.504474, acc: 0.726562] [adversarial loss: 0.957583, acc: 0.421875] 23884: [discriminator loss: 0.598810, acc: 0.679688] [adversarial loss: 1.583528, acc: 0.140625] 23885: [discriminator loss: 0.535254, acc: 0.718750] [adversarial loss: 1.091820, acc: 0.375000] 23886: [discriminator loss: 0.594611, acc: 0.710938] [adversarial loss: 1.282113, acc: 0.218750] 23887: [discriminator loss: 0.544309, acc: 0.671875] [adversarial loss: 0.908188, acc: 0.437500] 23888: [discriminator loss: 0.569349, acc: 0.726562] [adversarial loss: 1.710037, acc: 0.062500] 23889: [discriminator loss: 0.624818, acc: 0.632812] [adversarial loss: 1.001842, acc: 0.390625] 23890: [discriminator loss: 0.532109, acc: 0.750000] [adversarial loss: 1.213826, acc: 0.265625] 23891: [discriminator loss: 0.474031, acc: 0.796875] [adversarial loss: 1.022227, acc: 0.359375] 23892: [discriminator loss: 0.510211, acc: 0.750000] [adversarial loss: 1.358864, acc: 0.156250] 23893: [discriminator loss: 0.568172, acc: 0.718750] [adversarial loss: 0.875171, acc: 0.468750] 23894: [discriminator loss: 0.629198, acc: 0.679688] [adversarial loss: 1.805214, acc: 0.015625] 23895: [discriminator loss: 0.591484, acc: 0.687500] [adversarial loss: 0.868222, acc: 0.453125] 23896: [discriminator loss: 0.548048, acc: 0.695312] [adversarial loss: 1.448751, acc: 0.171875] 23897: [discriminator loss: 0.531747, acc: 0.734375] [adversarial loss: 0.989228, acc: 0.406250] 23898: [discriminator loss: 0.534964, acc: 0.710938] [adversarial loss: 1.454687, acc: 0.093750] 23899: [discriminator loss: 0.530026, acc: 0.718750] [adversarial loss: 0.969353, acc: 0.406250] 23900: [discriminator loss: 0.516064, acc: 0.757812] [adversarial loss: 1.357830, acc: 0.234375] 23901: [discriminator loss: 0.539851, acc: 0.687500] [adversarial loss: 1.019000, acc: 0.390625] 23902: [discriminator loss: 0.556303, acc: 0.679688] [adversarial loss: 1.293463, acc: 0.250000] 23903: [discriminator loss: 0.532287, acc: 0.781250] [adversarial loss: 1.140218, acc: 0.328125] 23904: [discriminator loss: 0.544760, acc: 0.734375] [adversarial loss: 1.439552, acc: 0.125000] 23905: [discriminator loss: 0.539398, acc: 0.718750] [adversarial loss: 0.895589, acc: 0.421875] 23906: [discriminator loss: 0.538409, acc: 0.695312] [adversarial loss: 1.831910, acc: 0.109375] 23907: [discriminator loss: 0.615968, acc: 0.656250] [adversarial loss: 0.822928, acc: 0.531250] 23908: [discriminator loss: 0.599373, acc: 0.703125] [adversarial loss: 1.339603, acc: 0.234375] 23909: [discriminator loss: 0.535365, acc: 0.734375] [adversarial loss: 0.984801, acc: 0.453125] 23910: [discriminator loss: 0.545116, acc: 0.734375] [adversarial loss: 1.198646, acc: 0.234375] 23911: [discriminator loss: 0.536713, acc: 0.734375] [adversarial loss: 1.273447, acc: 0.281250] 23912: [discriminator loss: 0.553484, acc: 0.703125] [adversarial loss: 1.171268, acc: 0.281250] 23913: [discriminator loss: 0.585179, acc: 0.679688] [adversarial loss: 1.119364, acc: 0.265625] 23914: [discriminator loss: 0.504163, acc: 0.765625] [adversarial loss: 1.177733, acc: 0.265625] 23915: [discriminator loss: 0.583493, acc: 0.742188] [adversarial loss: 0.977036, acc: 0.406250] 23916: [discriminator loss: 0.571537, acc: 0.687500] [adversarial loss: 1.409624, acc: 0.125000] 23917: [discriminator loss: 0.485365, acc: 0.781250] [adversarial loss: 0.947420, acc: 0.375000] 23918: [discriminator loss: 0.543114, acc: 0.718750] [adversarial loss: 1.693365, acc: 0.078125] 23919: [discriminator loss: 0.554087, acc: 0.710938] [adversarial loss: 0.604509, acc: 0.656250] 23920: [discriminator loss: 0.574139, acc: 0.687500] [adversarial loss: 1.553015, acc: 0.156250] 23921: [discriminator loss: 0.511586, acc: 0.695312] [adversarial loss: 1.024742, acc: 0.281250] 23922: [discriminator loss: 0.544399, acc: 0.710938] [adversarial loss: 1.513391, acc: 0.125000] 23923: [discriminator loss: 0.588756, acc: 0.679688] [adversarial loss: 0.907036, acc: 0.421875] 23924: [discriminator loss: 0.534848, acc: 0.734375] [adversarial loss: 1.707396, acc: 0.093750] 23925: [discriminator loss: 0.573127, acc: 0.640625] [adversarial loss: 0.754127, acc: 0.546875] 23926: [discriminator loss: 0.542502, acc: 0.710938] [adversarial loss: 1.511722, acc: 0.125000] 23927: [discriminator loss: 0.565146, acc: 0.687500] [adversarial loss: 0.865213, acc: 0.421875] 23928: [discriminator loss: 0.481344, acc: 0.781250] [adversarial loss: 0.941076, acc: 0.359375] 23929: [discriminator loss: 0.563782, acc: 0.687500] [adversarial loss: 1.434270, acc: 0.234375] 23930: [discriminator loss: 0.551565, acc: 0.742188] [adversarial loss: 1.029017, acc: 0.359375] 23931: [discriminator loss: 0.488893, acc: 0.773438] [adversarial loss: 1.184776, acc: 0.343750] 23932: [discriminator loss: 0.571143, acc: 0.640625] [adversarial loss: 1.136101, acc: 0.375000] 23933: [discriminator loss: 0.507697, acc: 0.757812] [adversarial loss: 1.161540, acc: 0.218750] 23934: [discriminator loss: 0.596682, acc: 0.726562] [adversarial loss: 0.917489, acc: 0.468750] 23935: [discriminator loss: 0.509994, acc: 0.726562] [adversarial loss: 1.166742, acc: 0.281250] 23936: [discriminator loss: 0.492623, acc: 0.765625] [adversarial loss: 0.924165, acc: 0.390625] 23937: [discriminator loss: 0.534827, acc: 0.726562] [adversarial loss: 1.435126, acc: 0.109375] 23938: [discriminator loss: 0.559540, acc: 0.687500] [adversarial loss: 0.956364, acc: 0.421875] 23939: [discriminator loss: 0.496034, acc: 0.742188] [adversarial loss: 1.368685, acc: 0.156250] 23940: [discriminator loss: 0.559001, acc: 0.687500] [adversarial loss: 0.929743, acc: 0.468750] 23941: [discriminator loss: 0.508768, acc: 0.750000] [adversarial loss: 1.950713, acc: 0.062500] 23942: [discriminator loss: 0.506777, acc: 0.726562] [adversarial loss: 1.068155, acc: 0.343750] 23943: [discriminator loss: 0.595264, acc: 0.695312] [adversarial loss: 1.685201, acc: 0.062500] 23944: [discriminator loss: 0.674203, acc: 0.664062] [adversarial loss: 1.034281, acc: 0.375000] 23945: [discriminator loss: 0.486070, acc: 0.726562] [adversarial loss: 1.322606, acc: 0.125000] 23946: [discriminator loss: 0.558038, acc: 0.679688] [adversarial loss: 1.087575, acc: 0.281250] 23947: [discriminator loss: 0.522818, acc: 0.726562] [adversarial loss: 1.555627, acc: 0.046875] 23948: [discriminator loss: 0.518582, acc: 0.757812] [adversarial loss: 1.022771, acc: 0.453125] 23949: [discriminator loss: 0.548633, acc: 0.703125] [adversarial loss: 1.747412, acc: 0.140625] 23950: [discriminator loss: 0.575294, acc: 0.718750] [adversarial loss: 0.743782, acc: 0.578125] 23951: [discriminator loss: 0.599719, acc: 0.687500] [adversarial loss: 1.585266, acc: 0.109375] 23952: [discriminator loss: 0.601526, acc: 0.664062] [adversarial loss: 1.174451, acc: 0.312500] 23953: [discriminator loss: 0.483812, acc: 0.796875] [adversarial loss: 1.272639, acc: 0.218750] 23954: [discriminator loss: 0.578225, acc: 0.726562] [adversarial loss: 1.141999, acc: 0.296875] 23955: [discriminator loss: 0.636508, acc: 0.632812] [adversarial loss: 1.360329, acc: 0.234375] 23956: [discriminator loss: 0.553543, acc: 0.695312] [adversarial loss: 1.087406, acc: 0.296875] 23957: [discriminator loss: 0.548933, acc: 0.718750] [adversarial loss: 1.370929, acc: 0.140625] 23958: [discriminator loss: 0.585158, acc: 0.648438] [adversarial loss: 1.206019, acc: 0.234375] 23959: [discriminator loss: 0.567588, acc: 0.671875] [adversarial loss: 1.068675, acc: 0.375000] 23960: [discriminator loss: 0.595933, acc: 0.710938] [adversarial loss: 1.392119, acc: 0.218750] 23961: [discriminator loss: 0.586395, acc: 0.718750] [adversarial loss: 0.899662, acc: 0.500000] 23962: [discriminator loss: 0.493975, acc: 0.734375] [adversarial loss: 1.679596, acc: 0.031250] 23963: [discriminator loss: 0.619947, acc: 0.671875] [adversarial loss: 0.973545, acc: 0.375000] 23964: [discriminator loss: 0.538373, acc: 0.726562] [adversarial loss: 1.360599, acc: 0.140625] 23965: [discriminator loss: 0.537361, acc: 0.710938] [adversarial loss: 0.825258, acc: 0.578125] 23966: [discriminator loss: 0.582099, acc: 0.687500] [adversarial loss: 1.281279, acc: 0.203125] 23967: [discriminator loss: 0.593541, acc: 0.718750] [adversarial loss: 1.141203, acc: 0.281250] 23968: [discriminator loss: 0.480855, acc: 0.742188] [adversarial loss: 1.031256, acc: 0.343750] 23969: [discriminator loss: 0.501158, acc: 0.742188] [adversarial loss: 1.347885, acc: 0.203125] 23970: [discriminator loss: 0.485181, acc: 0.773438] [adversarial loss: 1.215948, acc: 0.250000] 23971: [discriminator loss: 0.524694, acc: 0.718750] [adversarial loss: 1.263033, acc: 0.171875] 23972: [discriminator loss: 0.494979, acc: 0.773438] [adversarial loss: 1.314635, acc: 0.218750] 23973: [discriminator loss: 0.546034, acc: 0.695312] [adversarial loss: 1.061301, acc: 0.296875] 23974: [discriminator loss: 0.453021, acc: 0.781250] [adversarial loss: 1.273195, acc: 0.187500] 23975: [discriminator loss: 0.491944, acc: 0.750000] [adversarial loss: 1.360512, acc: 0.156250] 23976: [discriminator loss: 0.496208, acc: 0.765625] [adversarial loss: 0.821046, acc: 0.468750] 23977: [discriminator loss: 0.519592, acc: 0.765625] [adversarial loss: 1.795814, acc: 0.062500] 23978: [discriminator loss: 0.669145, acc: 0.625000] [adversarial loss: 0.885914, acc: 0.421875] 23979: [discriminator loss: 0.599846, acc: 0.679688] [adversarial loss: 1.486485, acc: 0.078125] 23980: [discriminator loss: 0.583437, acc: 0.718750] [adversarial loss: 1.029383, acc: 0.359375] 23981: [discriminator loss: 0.614353, acc: 0.679688] [adversarial loss: 1.445772, acc: 0.171875] 23982: [discriminator loss: 0.615890, acc: 0.625000] [adversarial loss: 0.945041, acc: 0.421875] 23983: [discriminator loss: 0.552530, acc: 0.710938] [adversarial loss: 1.374707, acc: 0.203125] 23984: [discriminator loss: 0.565652, acc: 0.703125] [adversarial loss: 0.945170, acc: 0.281250] 23985: [discriminator loss: 0.552464, acc: 0.718750] [adversarial loss: 1.385523, acc: 0.125000] 23986: [discriminator loss: 0.545080, acc: 0.656250] [adversarial loss: 1.268224, acc: 0.171875] 23987: [discriminator loss: 0.528021, acc: 0.703125] [adversarial loss: 1.091220, acc: 0.312500] 23988: [discriminator loss: 0.613638, acc: 0.695312] [adversarial loss: 1.375340, acc: 0.218750] 23989: [discriminator loss: 0.464288, acc: 0.765625] [adversarial loss: 1.097764, acc: 0.281250] 23990: [discriminator loss: 0.523934, acc: 0.750000] [adversarial loss: 1.598418, acc: 0.109375] 23991: [discriminator loss: 0.571288, acc: 0.656250] [adversarial loss: 0.712224, acc: 0.625000] 23992: [discriminator loss: 0.529036, acc: 0.757812] [adversarial loss: 1.423187, acc: 0.171875] 23993: [discriminator loss: 0.559432, acc: 0.710938] [adversarial loss: 1.021821, acc: 0.359375] 23994: [discriminator loss: 0.618089, acc: 0.664062] [adversarial loss: 1.362422, acc: 0.187500] 23995: [discriminator loss: 0.534080, acc: 0.718750] [adversarial loss: 1.138891, acc: 0.265625] 23996: [discriminator loss: 0.497175, acc: 0.804688] [adversarial loss: 1.411530, acc: 0.109375] 23997: [discriminator loss: 0.579690, acc: 0.703125] [adversarial loss: 1.348819, acc: 0.250000] 23998: [discriminator loss: 0.555104, acc: 0.710938] [adversarial loss: 0.980307, acc: 0.437500] 23999: [discriminator loss: 0.554812, acc: 0.695312] [adversarial loss: 1.624522, acc: 0.093750] 24000: [discriminator loss: 0.486980, acc: 0.726562] [adversarial loss: 0.959217, acc: 0.437500] 24001: [discriminator loss: 0.550676, acc: 0.734375] [adversarial loss: 1.509442, acc: 0.109375] 24002: [discriminator loss: 0.578121, acc: 0.695312] [adversarial loss: 0.948848, acc: 0.437500] 24003: [discriminator loss: 0.564002, acc: 0.734375] [adversarial loss: 1.545287, acc: 0.125000] 24004: [discriminator loss: 0.548278, acc: 0.695312] [adversarial loss: 1.036566, acc: 0.359375] 24005: [discriminator loss: 0.502041, acc: 0.750000] [adversarial loss: 1.338413, acc: 0.140625] 24006: [discriminator loss: 0.533654, acc: 0.734375] [adversarial loss: 1.038011, acc: 0.390625] 24007: [discriminator loss: 0.499132, acc: 0.757812] [adversarial loss: 1.315745, acc: 0.203125] 24008: [discriminator loss: 0.550421, acc: 0.679688] [adversarial loss: 1.237962, acc: 0.234375] 24009: [discriminator loss: 0.556687, acc: 0.703125] [adversarial loss: 0.930644, acc: 0.406250] 24010: [discriminator loss: 0.534017, acc: 0.679688] [adversarial loss: 1.624036, acc: 0.093750] 24011: [discriminator loss: 0.523976, acc: 0.734375] [adversarial loss: 0.879860, acc: 0.468750] 24012: [discriminator loss: 0.556827, acc: 0.726562] [adversarial loss: 1.550864, acc: 0.093750] 24013: [discriminator loss: 0.610724, acc: 0.679688] [adversarial loss: 0.790628, acc: 0.515625] 24014: [discriminator loss: 0.624065, acc: 0.656250] [adversarial loss: 1.586530, acc: 0.140625] 24015: [discriminator loss: 0.562087, acc: 0.703125] [adversarial loss: 1.000112, acc: 0.343750] 24016: [discriminator loss: 0.534656, acc: 0.703125] [adversarial loss: 1.282886, acc: 0.234375] 24017: [discriminator loss: 0.581285, acc: 0.703125] [adversarial loss: 0.983707, acc: 0.453125] 24018: [discriminator loss: 0.645234, acc: 0.617188] [adversarial loss: 1.395571, acc: 0.218750] 24019: [discriminator loss: 0.535567, acc: 0.726562] [adversarial loss: 1.135505, acc: 0.265625] 24020: [discriminator loss: 0.535621, acc: 0.703125] [adversarial loss: 1.464951, acc: 0.125000] 24021: [discriminator loss: 0.543473, acc: 0.687500] [adversarial loss: 1.081949, acc: 0.250000] 24022: [discriminator loss: 0.523536, acc: 0.703125] [adversarial loss: 1.448241, acc: 0.171875] 24023: [discriminator loss: 0.553164, acc: 0.718750] [adversarial loss: 1.051805, acc: 0.312500] 24024: [discriminator loss: 0.595888, acc: 0.664062] [adversarial loss: 1.295030, acc: 0.187500] 24025: [discriminator loss: 0.578470, acc: 0.695312] [adversarial loss: 1.474202, acc: 0.156250] 24026: [discriminator loss: 0.483952, acc: 0.773438] [adversarial loss: 0.881564, acc: 0.515625] 24027: [discriminator loss: 0.559549, acc: 0.718750] [adversarial loss: 1.527313, acc: 0.156250] 24028: [discriminator loss: 0.499657, acc: 0.765625] [adversarial loss: 1.076518, acc: 0.390625] 24029: [discriminator loss: 0.494037, acc: 0.757812] [adversarial loss: 1.417689, acc: 0.078125] 24030: [discriminator loss: 0.542190, acc: 0.718750] [adversarial loss: 0.923280, acc: 0.406250] 24031: [discriminator loss: 0.507336, acc: 0.773438] [adversarial loss: 1.326724, acc: 0.265625] 24032: [discriminator loss: 0.605229, acc: 0.687500] [adversarial loss: 1.197217, acc: 0.250000] 24033: [discriminator loss: 0.503507, acc: 0.742188] [adversarial loss: 1.188242, acc: 0.265625] 24034: [discriminator loss: 0.458919, acc: 0.804688] [adversarial loss: 1.468416, acc: 0.187500] 24035: [discriminator loss: 0.566201, acc: 0.750000] [adversarial loss: 0.849408, acc: 0.546875] 24036: [discriminator loss: 0.577375, acc: 0.726562] [adversarial loss: 1.664110, acc: 0.109375] 24037: [discriminator loss: 0.592790, acc: 0.679688] [adversarial loss: 0.760471, acc: 0.500000] 24038: [discriminator loss: 0.539730, acc: 0.726562] [adversarial loss: 1.403374, acc: 0.187500] 24039: [discriminator loss: 0.529925, acc: 0.703125] [adversarial loss: 0.879365, acc: 0.437500] 24040: [discriminator loss: 0.542817, acc: 0.750000] [adversarial loss: 1.356873, acc: 0.140625] 24041: [discriminator loss: 0.435450, acc: 0.734375] [adversarial loss: 1.149982, acc: 0.312500] 24042: [discriminator loss: 0.535958, acc: 0.718750] [adversarial loss: 1.100838, acc: 0.421875] 24043: [discriminator loss: 0.554398, acc: 0.710938] [adversarial loss: 1.503839, acc: 0.171875] 24044: [discriminator loss: 0.530325, acc: 0.710938] [adversarial loss: 1.100276, acc: 0.343750] 24045: [discriminator loss: 0.567170, acc: 0.718750] [adversarial loss: 1.217384, acc: 0.218750] 24046: [discriminator loss: 0.481386, acc: 0.765625] [adversarial loss: 1.331498, acc: 0.203125] 24047: [discriminator loss: 0.505807, acc: 0.734375] [adversarial loss: 1.184160, acc: 0.234375] 24048: [discriminator loss: 0.517226, acc: 0.765625] [adversarial loss: 1.259932, acc: 0.218750] 24049: [discriminator loss: 0.531392, acc: 0.750000] [adversarial loss: 1.050178, acc: 0.281250] 24050: [discriminator loss: 0.551288, acc: 0.695312] [adversarial loss: 1.515639, acc: 0.156250] 24051: [discriminator loss: 0.587349, acc: 0.679688] [adversarial loss: 0.934469, acc: 0.406250] 24052: [discriminator loss: 0.647715, acc: 0.648438] [adversarial loss: 1.632483, acc: 0.093750] 24053: [discriminator loss: 0.535216, acc: 0.687500] [adversarial loss: 0.872774, acc: 0.546875] 24054: [discriminator loss: 0.545529, acc: 0.734375] [adversarial loss: 1.314584, acc: 0.171875] 24055: [discriminator loss: 0.492660, acc: 0.781250] [adversarial loss: 1.072236, acc: 0.390625] 24056: [discriminator loss: 0.468653, acc: 0.789062] [adversarial loss: 1.423405, acc: 0.171875] 24057: [discriminator loss: 0.528966, acc: 0.718750] [adversarial loss: 1.220818, acc: 0.187500] 24058: [discriminator loss: 0.465223, acc: 0.820312] [adversarial loss: 1.457484, acc: 0.078125] 24059: [discriminator loss: 0.522538, acc: 0.742188] [adversarial loss: 0.837888, acc: 0.484375] 24060: [discriminator loss: 0.583077, acc: 0.695312] [adversarial loss: 1.674343, acc: 0.109375] 24061: [discriminator loss: 0.513674, acc: 0.726562] [adversarial loss: 0.897180, acc: 0.453125] 24062: [discriminator loss: 0.568684, acc: 0.734375] [adversarial loss: 1.450918, acc: 0.156250] 24063: [discriminator loss: 0.536328, acc: 0.742188] [adversarial loss: 0.822533, acc: 0.484375] 24064: [discriminator loss: 0.572528, acc: 0.703125] [adversarial loss: 1.463742, acc: 0.109375] 24065: [discriminator loss: 0.597441, acc: 0.679688] [adversarial loss: 1.116443, acc: 0.343750] 24066: [discriminator loss: 0.501693, acc: 0.773438] [adversarial loss: 1.202841, acc: 0.296875] 24067: [discriminator loss: 0.511873, acc: 0.726562] [adversarial loss: 1.094964, acc: 0.343750] 24068: [discriminator loss: 0.463724, acc: 0.773438] [adversarial loss: 1.258651, acc: 0.234375] 24069: [discriminator loss: 0.520605, acc: 0.734375] [adversarial loss: 1.104371, acc: 0.281250] 24070: [discriminator loss: 0.532697, acc: 0.742188] [adversarial loss: 1.388993, acc: 0.125000] 24071: [discriminator loss: 0.575282, acc: 0.687500] [adversarial loss: 0.932788, acc: 0.437500] 24072: [discriminator loss: 0.479276, acc: 0.726562] [adversarial loss: 1.272278, acc: 0.171875] 24073: [discriminator loss: 0.546557, acc: 0.679688] [adversarial loss: 1.430192, acc: 0.218750] 24074: [discriminator loss: 0.551484, acc: 0.726562] [adversarial loss: 1.095363, acc: 0.343750] 24075: [discriminator loss: 0.465029, acc: 0.773438] [adversarial loss: 1.119546, acc: 0.296875] 24076: [discriminator loss: 0.559222, acc: 0.679688] [adversarial loss: 1.378415, acc: 0.171875] 24077: [discriminator loss: 0.592418, acc: 0.695312] [adversarial loss: 0.952135, acc: 0.312500] 24078: [discriminator loss: 0.506636, acc: 0.773438] [adversarial loss: 1.419217, acc: 0.171875] 24079: [discriminator loss: 0.492523, acc: 0.726562] [adversarial loss: 0.898793, acc: 0.500000] 24080: [discriminator loss: 0.597791, acc: 0.710938] [adversarial loss: 1.683418, acc: 0.109375] 24081: [discriminator loss: 0.544369, acc: 0.671875] [adversarial loss: 0.827166, acc: 0.531250] 24082: [discriminator loss: 0.546799, acc: 0.726562] [adversarial loss: 1.354069, acc: 0.140625] 24083: [discriminator loss: 0.581924, acc: 0.664062] [adversarial loss: 0.932628, acc: 0.468750] 24084: [discriminator loss: 0.552067, acc: 0.679688] [adversarial loss: 1.593883, acc: 0.203125] 24085: [discriminator loss: 0.497828, acc: 0.742188] [adversarial loss: 0.937293, acc: 0.453125] 24086: [discriminator loss: 0.494654, acc: 0.773438] [adversarial loss: 1.379930, acc: 0.234375] 24087: [discriminator loss: 0.596074, acc: 0.656250] [adversarial loss: 1.230034, acc: 0.250000] 24088: [discriminator loss: 0.617416, acc: 0.640625] [adversarial loss: 1.225369, acc: 0.281250] 24089: [discriminator loss: 0.521586, acc: 0.750000] [adversarial loss: 1.008070, acc: 0.406250] 24090: [discriminator loss: 0.507719, acc: 0.742188] [adversarial loss: 1.219507, acc: 0.218750] 24091: [discriminator loss: 0.531127, acc: 0.742188] [adversarial loss: 0.954804, acc: 0.375000] 24092: [discriminator loss: 0.462768, acc: 0.781250] [adversarial loss: 1.286008, acc: 0.187500] 24093: [discriminator loss: 0.547250, acc: 0.679688] [adversarial loss: 0.990288, acc: 0.406250] 24094: [discriminator loss: 0.519929, acc: 0.750000] [adversarial loss: 1.452092, acc: 0.203125] 24095: [discriminator loss: 0.536965, acc: 0.765625] [adversarial loss: 1.136267, acc: 0.343750] 24096: [discriminator loss: 0.541071, acc: 0.703125] [adversarial loss: 1.162650, acc: 0.328125] 24097: [discriminator loss: 0.511986, acc: 0.765625] [adversarial loss: 0.977688, acc: 0.406250] 24098: [discriminator loss: 0.470092, acc: 0.773438] [adversarial loss: 1.334190, acc: 0.234375] 24099: [discriminator loss: 0.572139, acc: 0.664062] [adversarial loss: 0.776687, acc: 0.593750] 24100: [discriminator loss: 0.579442, acc: 0.726562] [adversarial loss: 1.534341, acc: 0.156250] 24101: [discriminator loss: 0.590694, acc: 0.656250] [adversarial loss: 0.747158, acc: 0.515625] 24102: [discriminator loss: 0.571015, acc: 0.710938] [adversarial loss: 2.037809, acc: 0.046875] 24103: [discriminator loss: 0.586399, acc: 0.679688] [adversarial loss: 1.025481, acc: 0.343750] 24104: [discriminator loss: 0.518078, acc: 0.750000] [adversarial loss: 1.926286, acc: 0.109375] 24105: [discriminator loss: 0.506995, acc: 0.734375] [adversarial loss: 1.202387, acc: 0.265625] 24106: [discriminator loss: 0.565639, acc: 0.710938] [adversarial loss: 1.702898, acc: 0.109375] 24107: [discriminator loss: 0.566329, acc: 0.664062] [adversarial loss: 0.850848, acc: 0.406250] 24108: [discriminator loss: 0.533574, acc: 0.765625] [adversarial loss: 1.494346, acc: 0.093750] 24109: [discriminator loss: 0.543482, acc: 0.726562] [adversarial loss: 0.957904, acc: 0.421875] 24110: [discriminator loss: 0.553718, acc: 0.695312] [adversarial loss: 1.813393, acc: 0.125000] 24111: [discriminator loss: 0.576374, acc: 0.648438] [adversarial loss: 1.300097, acc: 0.203125] 24112: [discriminator loss: 0.472666, acc: 0.765625] [adversarial loss: 1.220975, acc: 0.281250] 24113: [discriminator loss: 0.489381, acc: 0.773438] [adversarial loss: 1.127820, acc: 0.296875] 24114: [discriminator loss: 0.503972, acc: 0.773438] [adversarial loss: 1.263672, acc: 0.203125] 24115: [discriminator loss: 0.537813, acc: 0.710938] [adversarial loss: 1.286694, acc: 0.171875] 24116: [discriminator loss: 0.547027, acc: 0.703125] [adversarial loss: 1.207749, acc: 0.218750] 24117: [discriminator loss: 0.559116, acc: 0.703125] [adversarial loss: 1.212170, acc: 0.281250] 24118: [discriminator loss: 0.469188, acc: 0.781250] [adversarial loss: 1.387100, acc: 0.187500] 24119: [discriminator loss: 0.576790, acc: 0.625000] [adversarial loss: 1.169303, acc: 0.265625] 24120: [discriminator loss: 0.499739, acc: 0.734375] [adversarial loss: 1.249272, acc: 0.296875] 24121: [discriminator loss: 0.529679, acc: 0.726562] [adversarial loss: 0.902077, acc: 0.406250] 24122: [discriminator loss: 0.465452, acc: 0.781250] [adversarial loss: 1.133481, acc: 0.250000] 24123: [discriminator loss: 0.565416, acc: 0.687500] [adversarial loss: 1.124305, acc: 0.281250] 24124: [discriminator loss: 0.517524, acc: 0.742188] [adversarial loss: 1.705859, acc: 0.109375] 24125: [discriminator loss: 0.559008, acc: 0.718750] [adversarial loss: 0.778036, acc: 0.546875] 24126: [discriminator loss: 0.611498, acc: 0.695312] [adversarial loss: 1.333565, acc: 0.234375] 24127: [discriminator loss: 0.570301, acc: 0.687500] [adversarial loss: 0.781029, acc: 0.562500] 24128: [discriminator loss: 0.588494, acc: 0.695312] [adversarial loss: 1.664564, acc: 0.171875] 24129: [discriminator loss: 0.638226, acc: 0.609375] [adversarial loss: 0.889684, acc: 0.437500] 24130: [discriminator loss: 0.505992, acc: 0.734375] [adversarial loss: 1.429121, acc: 0.093750] 24131: [discriminator loss: 0.572453, acc: 0.664062] [adversarial loss: 1.097337, acc: 0.265625] 24132: [discriminator loss: 0.511040, acc: 0.765625] [adversarial loss: 1.313735, acc: 0.218750] 24133: [discriminator loss: 0.421405, acc: 0.843750] [adversarial loss: 1.218764, acc: 0.265625] 24134: [discriminator loss: 0.514574, acc: 0.750000] [adversarial loss: 1.138675, acc: 0.296875] 24135: [discriminator loss: 0.498587, acc: 0.734375] [adversarial loss: 0.911028, acc: 0.500000] 24136: [discriminator loss: 0.486183, acc: 0.757812] [adversarial loss: 1.411051, acc: 0.140625] 24137: [discriminator loss: 0.488259, acc: 0.781250] [adversarial loss: 1.004331, acc: 0.453125] 24138: [discriminator loss: 0.515982, acc: 0.742188] [adversarial loss: 1.526258, acc: 0.093750] 24139: [discriminator loss: 0.579038, acc: 0.679688] [adversarial loss: 0.895453, acc: 0.406250] 24140: [discriminator loss: 0.571733, acc: 0.679688] [adversarial loss: 1.618407, acc: 0.093750] 24141: [discriminator loss: 0.569140, acc: 0.648438] [adversarial loss: 1.042995, acc: 0.343750] 24142: [discriminator loss: 0.550900, acc: 0.757812] [adversarial loss: 1.455664, acc: 0.187500] 24143: [discriminator loss: 0.589976, acc: 0.656250] [adversarial loss: 0.985286, acc: 0.421875] 24144: [discriminator loss: 0.544409, acc: 0.781250] [adversarial loss: 1.674926, acc: 0.046875] 24145: [discriminator loss: 0.597458, acc: 0.695312] [adversarial loss: 0.813039, acc: 0.562500] 24146: [discriminator loss: 0.539604, acc: 0.734375] [adversarial loss: 1.597828, acc: 0.109375] 24147: [discriminator loss: 0.617882, acc: 0.687500] [adversarial loss: 1.062559, acc: 0.359375] 24148: [discriminator loss: 0.487066, acc: 0.757812] [adversarial loss: 1.352452, acc: 0.203125] 24149: [discriminator loss: 0.538735, acc: 0.695312] [adversarial loss: 1.060081, acc: 0.296875] 24150: [discriminator loss: 0.570567, acc: 0.695312] [adversarial loss: 1.191143, acc: 0.265625] 24151: [discriminator loss: 0.491451, acc: 0.718750] [adversarial loss: 1.128821, acc: 0.296875] 24152: [discriminator loss: 0.525427, acc: 0.734375] [adversarial loss: 1.226097, acc: 0.250000] 24153: [discriminator loss: 0.555231, acc: 0.757812] [adversarial loss: 1.097865, acc: 0.343750] 24154: [discriminator loss: 0.568809, acc: 0.687500] [adversarial loss: 1.410402, acc: 0.187500] 24155: [discriminator loss: 0.509656, acc: 0.757812] [adversarial loss: 1.280421, acc: 0.171875] 24156: [discriminator loss: 0.487323, acc: 0.742188] [adversarial loss: 1.414116, acc: 0.140625] 24157: [discriminator loss: 0.535561, acc: 0.718750] [adversarial loss: 0.960177, acc: 0.343750] 24158: [discriminator loss: 0.510107, acc: 0.750000] [adversarial loss: 1.386738, acc: 0.203125] 24159: [discriminator loss: 0.523046, acc: 0.726562] [adversarial loss: 1.110094, acc: 0.359375] 24160: [discriminator loss: 0.570177, acc: 0.734375] [adversarial loss: 1.549202, acc: 0.140625] 24161: [discriminator loss: 0.549447, acc: 0.703125] [adversarial loss: 0.998278, acc: 0.390625] 24162: [discriminator loss: 0.559493, acc: 0.710938] [adversarial loss: 1.442283, acc: 0.171875] 24163: [discriminator loss: 0.594998, acc: 0.687500] [adversarial loss: 1.039535, acc: 0.390625] 24164: [discriminator loss: 0.530921, acc: 0.742188] [adversarial loss: 1.213391, acc: 0.234375] 24165: [discriminator loss: 0.475375, acc: 0.757812] [adversarial loss: 0.856261, acc: 0.484375] 24166: [discriminator loss: 0.623967, acc: 0.679688] [adversarial loss: 1.581215, acc: 0.078125] 24167: [discriminator loss: 0.542141, acc: 0.742188] [adversarial loss: 0.816338, acc: 0.406250] 24168: [discriminator loss: 0.488987, acc: 0.757812] [adversarial loss: 1.433618, acc: 0.187500] 24169: [discriminator loss: 0.559716, acc: 0.687500] [adversarial loss: 1.309319, acc: 0.203125] 24170: [discriminator loss: 0.520544, acc: 0.734375] [adversarial loss: 1.122521, acc: 0.343750] 24171: [discriminator loss: 0.523573, acc: 0.726562] [adversarial loss: 1.348914, acc: 0.218750] 24172: [discriminator loss: 0.534418, acc: 0.734375] [adversarial loss: 1.184852, acc: 0.250000] 24173: [discriminator loss: 0.595091, acc: 0.664062] [adversarial loss: 1.387089, acc: 0.187500] 24174: [discriminator loss: 0.519034, acc: 0.726562] [adversarial loss: 0.806490, acc: 0.421875] 24175: [discriminator loss: 0.502423, acc: 0.726562] [adversarial loss: 1.430619, acc: 0.171875] 24176: [discriminator loss: 0.542447, acc: 0.750000] [adversarial loss: 0.922118, acc: 0.390625] 24177: [discriminator loss: 0.588043, acc: 0.671875] [adversarial loss: 1.694963, acc: 0.062500] 24178: [discriminator loss: 0.551155, acc: 0.664062] [adversarial loss: 0.795424, acc: 0.406250] 24179: [discriminator loss: 0.549989, acc: 0.734375] [adversarial loss: 1.737791, acc: 0.109375] 24180: [discriminator loss: 0.570240, acc: 0.687500] [adversarial loss: 1.008133, acc: 0.328125] 24181: [discriminator loss: 0.541852, acc: 0.710938] [adversarial loss: 1.250569, acc: 0.234375] 24182: [discriminator loss: 0.496288, acc: 0.781250] [adversarial loss: 1.153470, acc: 0.265625] 24183: [discriminator loss: 0.533390, acc: 0.718750] [adversarial loss: 1.236889, acc: 0.281250] 24184: [discriminator loss: 0.494917, acc: 0.742188] [adversarial loss: 1.209383, acc: 0.250000] 24185: [discriminator loss: 0.540636, acc: 0.750000] [adversarial loss: 0.998929, acc: 0.390625] 24186: [discriminator loss: 0.495330, acc: 0.765625] [adversarial loss: 1.315358, acc: 0.203125] 24187: [discriminator loss: 0.550510, acc: 0.695312] [adversarial loss: 1.020560, acc: 0.453125] 24188: [discriminator loss: 0.573260, acc: 0.703125] [adversarial loss: 1.482844, acc: 0.187500] 24189: [discriminator loss: 0.548548, acc: 0.726562] [adversarial loss: 1.174766, acc: 0.250000] 24190: [discriminator loss: 0.520048, acc: 0.765625] [adversarial loss: 1.372810, acc: 0.140625] 24191: [discriminator loss: 0.520821, acc: 0.750000] [adversarial loss: 1.236344, acc: 0.203125] 24192: [discriminator loss: 0.488333, acc: 0.804688] [adversarial loss: 1.258537, acc: 0.218750] 24193: [discriminator loss: 0.472293, acc: 0.765625] [adversarial loss: 1.114688, acc: 0.296875] 24194: [discriminator loss: 0.527299, acc: 0.750000] [adversarial loss: 1.562835, acc: 0.187500] 24195: [discriminator loss: 0.531348, acc: 0.710938] [adversarial loss: 0.908788, acc: 0.468750] 24196: [discriminator loss: 0.566882, acc: 0.703125] [adversarial loss: 1.538430, acc: 0.140625] 24197: [discriminator loss: 0.699871, acc: 0.593750] [adversarial loss: 0.683163, acc: 0.546875] 24198: [discriminator loss: 0.673964, acc: 0.656250] [adversarial loss: 1.657804, acc: 0.062500] 24199: [discriminator loss: 0.578318, acc: 0.703125] [adversarial loss: 0.960756, acc: 0.390625] 24200: [discriminator loss: 0.555805, acc: 0.734375] [adversarial loss: 1.453925, acc: 0.203125] 24201: [discriminator loss: 0.538356, acc: 0.718750] [adversarial loss: 1.057718, acc: 0.281250] 24202: [discriminator loss: 0.502884, acc: 0.757812] [adversarial loss: 1.217582, acc: 0.218750] 24203: [discriminator loss: 0.526570, acc: 0.726562] [adversarial loss: 1.341460, acc: 0.281250] 24204: [discriminator loss: 0.542375, acc: 0.710938] [adversarial loss: 0.828025, acc: 0.406250] 24205: [discriminator loss: 0.525701, acc: 0.734375] [adversarial loss: 1.555687, acc: 0.171875] 24206: [discriminator loss: 0.508633, acc: 0.765625] [adversarial loss: 1.046344, acc: 0.437500] 24207: [discriminator loss: 0.560908, acc: 0.726562] [adversarial loss: 1.473050, acc: 0.187500] 24208: [discriminator loss: 0.557970, acc: 0.765625] [adversarial loss: 1.135403, acc: 0.312500] 24209: [discriminator loss: 0.534920, acc: 0.734375] [adversarial loss: 1.193444, acc: 0.265625] 24210: [discriminator loss: 0.603017, acc: 0.679688] [adversarial loss: 1.393030, acc: 0.093750] 24211: [discriminator loss: 0.484890, acc: 0.750000] [adversarial loss: 0.876503, acc: 0.453125] 24212: [discriminator loss: 0.523197, acc: 0.750000] [adversarial loss: 1.244093, acc: 0.234375] 24213: [discriminator loss: 0.533859, acc: 0.710938] [adversarial loss: 1.054034, acc: 0.359375] 24214: [discriminator loss: 0.502258, acc: 0.734375] [adversarial loss: 1.333964, acc: 0.218750] 24215: [discriminator loss: 0.510099, acc: 0.757812] [adversarial loss: 0.898706, acc: 0.468750] 24216: [discriminator loss: 0.523544, acc: 0.757812] [adversarial loss: 1.154335, acc: 0.296875] 24217: [discriminator loss: 0.482636, acc: 0.757812] [adversarial loss: 0.889221, acc: 0.437500] 24218: [discriminator loss: 0.536576, acc: 0.703125] [adversarial loss: 1.143393, acc: 0.343750] 24219: [discriminator loss: 0.496920, acc: 0.734375] [adversarial loss: 0.660197, acc: 0.656250] 24220: [discriminator loss: 0.597993, acc: 0.695312] [adversarial loss: 1.420693, acc: 0.140625] 24221: [discriminator loss: 0.525478, acc: 0.687500] [adversarial loss: 1.140908, acc: 0.281250] 24222: [discriminator loss: 0.488842, acc: 0.804688] [adversarial loss: 1.361344, acc: 0.218750] 24223: [discriminator loss: 0.551766, acc: 0.687500] [adversarial loss: 1.196162, acc: 0.203125] 24224: [discriminator loss: 0.514988, acc: 0.710938] [adversarial loss: 1.288410, acc: 0.218750] 24225: [discriminator loss: 0.520847, acc: 0.773438] [adversarial loss: 1.193440, acc: 0.281250] 24226: [discriminator loss: 0.525217, acc: 0.734375] [adversarial loss: 1.703996, acc: 0.171875] 24227: [discriminator loss: 0.527299, acc: 0.734375] [adversarial loss: 0.917479, acc: 0.468750] 24228: [discriminator loss: 0.568328, acc: 0.757812] [adversarial loss: 1.610228, acc: 0.140625] 24229: [discriminator loss: 0.604401, acc: 0.679688] [adversarial loss: 0.756386, acc: 0.468750] 24230: [discriminator loss: 0.581121, acc: 0.687500] [adversarial loss: 1.847753, acc: 0.093750] 24231: [discriminator loss: 0.572427, acc: 0.695312] [adversarial loss: 1.073994, acc: 0.375000] 24232: [discriminator loss: 0.503840, acc: 0.750000] [adversarial loss: 1.323320, acc: 0.203125] 24233: [discriminator loss: 0.512319, acc: 0.703125] [adversarial loss: 0.994143, acc: 0.359375] 24234: [discriminator loss: 0.549444, acc: 0.765625] [adversarial loss: 1.300986, acc: 0.234375] 24235: [discriminator loss: 0.588298, acc: 0.679688] [adversarial loss: 1.016714, acc: 0.328125] 24236: [discriminator loss: 0.531318, acc: 0.750000] [adversarial loss: 1.367228, acc: 0.125000] 24237: [discriminator loss: 0.497975, acc: 0.750000] [adversarial loss: 1.036389, acc: 0.328125] 24238: [discriminator loss: 0.540748, acc: 0.726562] [adversarial loss: 1.302246, acc: 0.203125] 24239: [discriminator loss: 0.564625, acc: 0.687500] [adversarial loss: 1.236885, acc: 0.296875] 24240: [discriminator loss: 0.529506, acc: 0.742188] [adversarial loss: 1.082005, acc: 0.343750] 24241: [discriminator loss: 0.507789, acc: 0.773438] [adversarial loss: 1.122367, acc: 0.281250] 24242: [discriminator loss: 0.545872, acc: 0.695312] [adversarial loss: 1.380727, acc: 0.156250] 24243: [discriminator loss: 0.536281, acc: 0.742188] [adversarial loss: 1.029346, acc: 0.343750] 24244: [discriminator loss: 0.575065, acc: 0.640625] [adversarial loss: 1.379678, acc: 0.109375] 24245: [discriminator loss: 0.471226, acc: 0.742188] [adversarial loss: 0.824194, acc: 0.437500] 24246: [discriminator loss: 0.535375, acc: 0.734375] [adversarial loss: 1.889631, acc: 0.093750] 24247: [discriminator loss: 0.707661, acc: 0.562500] [adversarial loss: 0.648310, acc: 0.734375] 24248: [discriminator loss: 0.542305, acc: 0.695312] [adversarial loss: 1.625317, acc: 0.156250] 24249: [discriminator loss: 0.525944, acc: 0.695312] [adversarial loss: 0.918313, acc: 0.437500] 24250: [discriminator loss: 0.572510, acc: 0.671875] [adversarial loss: 1.253000, acc: 0.250000] 24251: [discriminator loss: 0.480108, acc: 0.742188] [adversarial loss: 1.268377, acc: 0.156250] 24252: [discriminator loss: 0.532533, acc: 0.726562] [adversarial loss: 1.129077, acc: 0.265625] 24253: [discriminator loss: 0.541702, acc: 0.718750] [adversarial loss: 1.334936, acc: 0.187500] 24254: [discriminator loss: 0.529701, acc: 0.750000] [adversarial loss: 1.163143, acc: 0.281250] 24255: [discriminator loss: 0.519502, acc: 0.742188] [adversarial loss: 1.095353, acc: 0.359375] 24256: [discriminator loss: 0.569573, acc: 0.703125] [adversarial loss: 0.976003, acc: 0.468750] 24257: [discriminator loss: 0.543148, acc: 0.718750] [adversarial loss: 1.148660, acc: 0.312500] 24258: [discriminator loss: 0.575408, acc: 0.687500] [adversarial loss: 1.358212, acc: 0.140625] 24259: [discriminator loss: 0.528881, acc: 0.742188] [adversarial loss: 0.951442, acc: 0.421875] 24260: [discriminator loss: 0.584740, acc: 0.656250] [adversarial loss: 1.378069, acc: 0.250000] 24261: [discriminator loss: 0.514652, acc: 0.742188] [adversarial loss: 1.038175, acc: 0.343750] 24262: [discriminator loss: 0.535659, acc: 0.718750] [adversarial loss: 1.524626, acc: 0.187500] 24263: [discriminator loss: 0.560398, acc: 0.695312] [adversarial loss: 0.839504, acc: 0.546875] 24264: [discriminator loss: 0.576491, acc: 0.703125] [adversarial loss: 1.575005, acc: 0.140625] 24265: [discriminator loss: 0.623824, acc: 0.609375] [adversarial loss: 0.742879, acc: 0.578125] 24266: [discriminator loss: 0.561842, acc: 0.734375] [adversarial loss: 1.451012, acc: 0.156250] 24267: [discriminator loss: 0.503806, acc: 0.773438] [adversarial loss: 1.023774, acc: 0.312500] 24268: [discriminator loss: 0.522441, acc: 0.726562] [adversarial loss: 1.238449, acc: 0.234375] 24269: [discriminator loss: 0.517843, acc: 0.757812] [adversarial loss: 1.240268, acc: 0.234375] 24270: [discriminator loss: 0.498960, acc: 0.742188] [adversarial loss: 1.245664, acc: 0.187500] 24271: [discriminator loss: 0.520244, acc: 0.750000] [adversarial loss: 1.524336, acc: 0.125000] 24272: [discriminator loss: 0.497191, acc: 0.781250] [adversarial loss: 0.856838, acc: 0.484375] 24273: [discriminator loss: 0.536146, acc: 0.734375] [adversarial loss: 1.696157, acc: 0.046875] 24274: [discriminator loss: 0.575868, acc: 0.664062] [adversarial loss: 0.901789, acc: 0.453125] 24275: [discriminator loss: 0.555762, acc: 0.710938] [adversarial loss: 1.363753, acc: 0.187500] 24276: [discriminator loss: 0.525082, acc: 0.742188] [adversarial loss: 0.869348, acc: 0.453125] 24277: [discriminator loss: 0.575977, acc: 0.734375] [adversarial loss: 1.720518, acc: 0.140625] 24278: [discriminator loss: 0.540935, acc: 0.687500] [adversarial loss: 0.796778, acc: 0.546875] 24279: [discriminator loss: 0.485711, acc: 0.789062] [adversarial loss: 1.206779, acc: 0.250000] 24280: [discriminator loss: 0.495438, acc: 0.796875] [adversarial loss: 1.078793, acc: 0.359375] 24281: [discriminator loss: 0.509900, acc: 0.765625] [adversarial loss: 1.187962, acc: 0.265625] 24282: [discriminator loss: 0.522137, acc: 0.734375] [adversarial loss: 1.009791, acc: 0.390625] 24283: [discriminator loss: 0.575032, acc: 0.710938] [adversarial loss: 1.415046, acc: 0.187500] 24284: [discriminator loss: 0.507689, acc: 0.726562] [adversarial loss: 1.084536, acc: 0.406250] 24285: [discriminator loss: 0.572092, acc: 0.687500] [adversarial loss: 1.169838, acc: 0.250000] 24286: [discriminator loss: 0.556427, acc: 0.726562] [adversarial loss: 1.367459, acc: 0.187500] 24287: [discriminator loss: 0.458884, acc: 0.765625] [adversarial loss: 1.053872, acc: 0.421875] 24288: [discriminator loss: 0.538567, acc: 0.687500] [adversarial loss: 1.686189, acc: 0.187500] 24289: [discriminator loss: 0.567074, acc: 0.734375] [adversarial loss: 1.025046, acc: 0.343750] 24290: [discriminator loss: 0.517505, acc: 0.703125] [adversarial loss: 1.388979, acc: 0.125000] 24291: [discriminator loss: 0.504295, acc: 0.742188] [adversarial loss: 1.122835, acc: 0.281250] 24292: [discriminator loss: 0.534513, acc: 0.742188] [adversarial loss: 1.388417, acc: 0.218750] 24293: [discriminator loss: 0.478585, acc: 0.773438] [adversarial loss: 1.357227, acc: 0.203125] 24294: [discriminator loss: 0.530904, acc: 0.718750] [adversarial loss: 0.933323, acc: 0.437500] 24295: [discriminator loss: 0.464361, acc: 0.757812] [adversarial loss: 1.521145, acc: 0.140625] 24296: [discriminator loss: 0.540023, acc: 0.695312] [adversarial loss: 0.893953, acc: 0.437500] 24297: [discriminator loss: 0.663865, acc: 0.648438] [adversarial loss: 1.558382, acc: 0.093750] 24298: [discriminator loss: 0.520281, acc: 0.718750] [adversarial loss: 0.698031, acc: 0.578125] 24299: [discriminator loss: 0.550215, acc: 0.710938] [adversarial loss: 1.427852, acc: 0.125000] 24300: [discriminator loss: 0.554506, acc: 0.726562] [adversarial loss: 1.107638, acc: 0.265625] 24301: [discriminator loss: 0.547011, acc: 0.703125] [adversarial loss: 1.279929, acc: 0.203125] 24302: [discriminator loss: 0.470338, acc: 0.773438] [adversarial loss: 1.139467, acc: 0.390625] 24303: [discriminator loss: 0.581343, acc: 0.671875] [adversarial loss: 1.275328, acc: 0.296875] 24304: [discriminator loss: 0.622704, acc: 0.695312] [adversarial loss: 1.431989, acc: 0.109375] 24305: [discriminator loss: 0.529793, acc: 0.765625] [adversarial loss: 1.091224, acc: 0.312500] 24306: [discriminator loss: 0.546510, acc: 0.718750] [adversarial loss: 1.325845, acc: 0.187500] 24307: [discriminator loss: 0.560377, acc: 0.695312] [adversarial loss: 0.973480, acc: 0.390625] 24308: [discriminator loss: 0.467082, acc: 0.765625] [adversarial loss: 1.552532, acc: 0.203125] 24309: [discriminator loss: 0.540597, acc: 0.687500] [adversarial loss: 0.851902, acc: 0.437500] 24310: [discriminator loss: 0.574651, acc: 0.703125] [adversarial loss: 1.583252, acc: 0.109375] 24311: [discriminator loss: 0.527819, acc: 0.726562] [adversarial loss: 0.792285, acc: 0.546875] 24312: [discriminator loss: 0.594729, acc: 0.710938] [adversarial loss: 1.676234, acc: 0.062500] 24313: [discriminator loss: 0.643483, acc: 0.632812] [adversarial loss: 0.668852, acc: 0.562500] 24314: [discriminator loss: 0.573988, acc: 0.703125] [adversarial loss: 1.471260, acc: 0.125000] 24315: [discriminator loss: 0.495706, acc: 0.710938] [adversarial loss: 0.970080, acc: 0.390625] 24316: [discriminator loss: 0.553292, acc: 0.726562] [adversarial loss: 1.293860, acc: 0.234375] 24317: [discriminator loss: 0.506189, acc: 0.765625] [adversarial loss: 1.156374, acc: 0.375000] 24318: [discriminator loss: 0.522559, acc: 0.726562] [adversarial loss: 1.434487, acc: 0.187500] 24319: [discriminator loss: 0.657931, acc: 0.625000] [adversarial loss: 0.919912, acc: 0.515625] 24320: [discriminator loss: 0.587018, acc: 0.656250] [adversarial loss: 1.666259, acc: 0.125000] 24321: [discriminator loss: 0.590451, acc: 0.695312] [adversarial loss: 0.927138, acc: 0.468750] 24322: [discriminator loss: 0.540636, acc: 0.718750] [adversarial loss: 1.519358, acc: 0.171875] 24323: [discriminator loss: 0.582103, acc: 0.695312] [adversarial loss: 0.979980, acc: 0.375000] 24324: [discriminator loss: 0.538454, acc: 0.734375] [adversarial loss: 1.383410, acc: 0.203125] 24325: [discriminator loss: 0.504105, acc: 0.734375] [adversarial loss: 1.034361, acc: 0.312500] 24326: [discriminator loss: 0.521013, acc: 0.695312] [adversarial loss: 1.256799, acc: 0.234375] 24327: [discriminator loss: 0.557969, acc: 0.742188] [adversarial loss: 1.151888, acc: 0.328125] 24328: [discriminator loss: 0.561653, acc: 0.695312] [adversarial loss: 1.248727, acc: 0.187500] 24329: [discriminator loss: 0.565667, acc: 0.671875] [adversarial loss: 1.167748, acc: 0.265625] 24330: [discriminator loss: 0.484114, acc: 0.757812] [adversarial loss: 1.497639, acc: 0.109375] 24331: [discriminator loss: 0.588895, acc: 0.687500] [adversarial loss: 0.960748, acc: 0.468750] 24332: [discriminator loss: 0.589679, acc: 0.679688] [adversarial loss: 1.497605, acc: 0.109375] 24333: [discriminator loss: 0.596413, acc: 0.671875] [adversarial loss: 0.896873, acc: 0.515625] 24334: [discriminator loss: 0.570626, acc: 0.640625] [adversarial loss: 1.391384, acc: 0.187500] 24335: [discriminator loss: 0.552781, acc: 0.710938] [adversarial loss: 1.009291, acc: 0.406250] 24336: [discriminator loss: 0.550565, acc: 0.718750] [adversarial loss: 1.349342, acc: 0.218750] 24337: [discriminator loss: 0.523909, acc: 0.750000] [adversarial loss: 0.875947, acc: 0.437500] 24338: [discriminator loss: 0.540705, acc: 0.726562] [adversarial loss: 1.356440, acc: 0.171875] 24339: [discriminator loss: 0.529350, acc: 0.718750] [adversarial loss: 1.149373, acc: 0.281250] 24340: [discriminator loss: 0.586281, acc: 0.664062] [adversarial loss: 1.327811, acc: 0.187500] 24341: [discriminator loss: 0.510480, acc: 0.750000] [adversarial loss: 0.846796, acc: 0.453125] 24342: [discriminator loss: 0.487005, acc: 0.781250] [adversarial loss: 1.089157, acc: 0.328125] 24343: [discriminator loss: 0.504620, acc: 0.718750] [adversarial loss: 0.982895, acc: 0.375000] 24344: [discriminator loss: 0.505758, acc: 0.773438] [adversarial loss: 1.040347, acc: 0.359375] 24345: [discriminator loss: 0.510293, acc: 0.773438] [adversarial loss: 1.128102, acc: 0.234375] 24346: [discriminator loss: 0.556640, acc: 0.718750] [adversarial loss: 1.403969, acc: 0.203125] 24347: [discriminator loss: 0.512503, acc: 0.750000] [adversarial loss: 1.134492, acc: 0.312500] 24348: [discriminator loss: 0.588124, acc: 0.664062] [adversarial loss: 1.879822, acc: 0.062500] 24349: [discriminator loss: 0.602376, acc: 0.656250] [adversarial loss: 0.951545, acc: 0.375000] 24350: [discriminator loss: 0.553685, acc: 0.703125] [adversarial loss: 1.539109, acc: 0.171875] 24351: [discriminator loss: 0.569072, acc: 0.687500] [adversarial loss: 1.095870, acc: 0.375000] 24352: [discriminator loss: 0.540898, acc: 0.757812] [adversarial loss: 1.473708, acc: 0.140625] 24353: [discriminator loss: 0.586762, acc: 0.703125] [adversarial loss: 0.766600, acc: 0.484375] 24354: [discriminator loss: 0.601683, acc: 0.625000] [adversarial loss: 1.701226, acc: 0.078125] 24355: [discriminator loss: 0.559030, acc: 0.695312] [adversarial loss: 0.809943, acc: 0.578125] 24356: [discriminator loss: 0.504257, acc: 0.750000] [adversarial loss: 1.462537, acc: 0.203125] 24357: [discriminator loss: 0.559586, acc: 0.695312] [adversarial loss: 1.132401, acc: 0.375000] 24358: [discriminator loss: 0.535971, acc: 0.757812] [adversarial loss: 1.471617, acc: 0.156250] 24359: [discriminator loss: 0.478956, acc: 0.765625] [adversarial loss: 1.113071, acc: 0.265625] 24360: [discriminator loss: 0.529435, acc: 0.703125] [adversarial loss: 1.324725, acc: 0.218750] 24361: [discriminator loss: 0.540417, acc: 0.765625] [adversarial loss: 1.667161, acc: 0.046875] 24362: [discriminator loss: 0.484759, acc: 0.781250] [adversarial loss: 1.040392, acc: 0.359375] 24363: [discriminator loss: 0.541928, acc: 0.695312] [adversarial loss: 1.904922, acc: 0.031250] 24364: [discriminator loss: 0.561039, acc: 0.718750] [adversarial loss: 0.951668, acc: 0.359375] 24365: [discriminator loss: 0.544071, acc: 0.679688] [adversarial loss: 1.271186, acc: 0.109375] 24366: [discriminator loss: 0.489553, acc: 0.757812] [adversarial loss: 1.288257, acc: 0.218750] 24367: [discriminator loss: 0.555700, acc: 0.718750] [adversarial loss: 1.234460, acc: 0.312500] 24368: [discriminator loss: 0.504227, acc: 0.726562] [adversarial loss: 1.269543, acc: 0.218750] 24369: [discriminator loss: 0.557837, acc: 0.687500] [adversarial loss: 1.347929, acc: 0.203125] 24370: [discriminator loss: 0.680207, acc: 0.578125] [adversarial loss: 0.931391, acc: 0.375000] 24371: [discriminator loss: 0.511734, acc: 0.773438] [adversarial loss: 1.580905, acc: 0.093750] 24372: [discriminator loss: 0.522765, acc: 0.703125] [adversarial loss: 1.011512, acc: 0.406250] 24373: [discriminator loss: 0.582273, acc: 0.679688] [adversarial loss: 1.523550, acc: 0.218750] 24374: [discriminator loss: 0.537725, acc: 0.742188] [adversarial loss: 0.883956, acc: 0.359375] 24375: [discriminator loss: 0.531650, acc: 0.734375] [adversarial loss: 1.707247, acc: 0.093750] 24376: [discriminator loss: 0.540733, acc: 0.734375] [adversarial loss: 0.954142, acc: 0.406250] 24377: [discriminator loss: 0.589959, acc: 0.718750] [adversarial loss: 1.448432, acc: 0.031250] 24378: [discriminator loss: 0.519696, acc: 0.742188] [adversarial loss: 0.993753, acc: 0.390625] 24379: [discriminator loss: 0.656214, acc: 0.640625] [adversarial loss: 1.700659, acc: 0.062500] 24380: [discriminator loss: 0.710573, acc: 0.585938] [adversarial loss: 0.903136, acc: 0.406250] 24381: [discriminator loss: 0.564843, acc: 0.703125] [adversarial loss: 1.617346, acc: 0.093750] 24382: [discriminator loss: 0.628952, acc: 0.625000] [adversarial loss: 0.940354, acc: 0.453125] 24383: [discriminator loss: 0.569852, acc: 0.695312] [adversarial loss: 1.469583, acc: 0.125000] 24384: [discriminator loss: 0.522272, acc: 0.742188] [adversarial loss: 0.999892, acc: 0.406250] 24385: [discriminator loss: 0.508917, acc: 0.757812] [adversarial loss: 0.910041, acc: 0.390625] 24386: [discriminator loss: 0.507139, acc: 0.750000] [adversarial loss: 1.063118, acc: 0.250000] 24387: [discriminator loss: 0.545506, acc: 0.718750] [adversarial loss: 1.178708, acc: 0.218750] 24388: [discriminator loss: 0.486494, acc: 0.773438] [adversarial loss: 1.074076, acc: 0.296875] 24389: [discriminator loss: 0.590221, acc: 0.664062] [adversarial loss: 1.401576, acc: 0.140625] 24390: [discriminator loss: 0.493263, acc: 0.750000] [adversarial loss: 1.207592, acc: 0.203125] 24391: [discriminator loss: 0.548747, acc: 0.718750] [adversarial loss: 1.011659, acc: 0.296875] 24392: [discriminator loss: 0.531273, acc: 0.703125] [adversarial loss: 1.222412, acc: 0.250000] 24393: [discriminator loss: 0.560602, acc: 0.679688] [adversarial loss: 1.119845, acc: 0.296875] 24394: [discriminator loss: 0.544918, acc: 0.687500] [adversarial loss: 1.126971, acc: 0.328125] 24395: [discriminator loss: 0.546005, acc: 0.742188] [adversarial loss: 1.397042, acc: 0.125000] 24396: [discriminator loss: 0.563386, acc: 0.687500] [adversarial loss: 0.720182, acc: 0.515625] 24397: [discriminator loss: 0.606948, acc: 0.671875] [adversarial loss: 1.660195, acc: 0.093750] 24398: [discriminator loss: 0.597703, acc: 0.664062] [adversarial loss: 0.884233, acc: 0.406250] 24399: [discriminator loss: 0.515469, acc: 0.765625] [adversarial loss: 1.361475, acc: 0.234375] 24400: [discriminator loss: 0.530313, acc: 0.765625] [adversarial loss: 1.256880, acc: 0.296875] 24401: [discriminator loss: 0.544471, acc: 0.695312] [adversarial loss: 1.162663, acc: 0.265625] 24402: [discriminator loss: 0.588615, acc: 0.656250] [adversarial loss: 0.924007, acc: 0.375000] 24403: [discriminator loss: 0.606962, acc: 0.625000] [adversarial loss: 1.372061, acc: 0.250000] 24404: [discriminator loss: 0.467087, acc: 0.773438] [adversarial loss: 1.152837, acc: 0.265625] 24405: [discriminator loss: 0.561823, acc: 0.726562] [adversarial loss: 1.282986, acc: 0.203125] 24406: [discriminator loss: 0.549185, acc: 0.695312] [adversarial loss: 0.924748, acc: 0.437500] 24407: [discriminator loss: 0.577232, acc: 0.679688] [adversarial loss: 1.655110, acc: 0.125000] 24408: [discriminator loss: 0.549325, acc: 0.703125] [adversarial loss: 0.793986, acc: 0.515625] 24409: [discriminator loss: 0.559350, acc: 0.687500] [adversarial loss: 1.566083, acc: 0.046875] 24410: [discriminator loss: 0.565177, acc: 0.656250] [adversarial loss: 0.715373, acc: 0.593750] 24411: [discriminator loss: 0.606509, acc: 0.679688] [adversarial loss: 1.515335, acc: 0.093750] 24412: [discriminator loss: 0.521244, acc: 0.726562] [adversarial loss: 0.968934, acc: 0.359375] 24413: [discriminator loss: 0.619461, acc: 0.664062] [adversarial loss: 1.454327, acc: 0.109375] 24414: [discriminator loss: 0.526676, acc: 0.734375] [adversarial loss: 1.062892, acc: 0.281250] 24415: [discriminator loss: 0.545674, acc: 0.703125] [adversarial loss: 1.296922, acc: 0.234375] 24416: [discriminator loss: 0.493194, acc: 0.734375] [adversarial loss: 1.287445, acc: 0.156250] 24417: [discriminator loss: 0.553659, acc: 0.726562] [adversarial loss: 1.103630, acc: 0.390625] 24418: [discriminator loss: 0.464380, acc: 0.789062] [adversarial loss: 1.031509, acc: 0.406250] 24419: [discriminator loss: 0.511549, acc: 0.742188] [adversarial loss: 1.034893, acc: 0.359375] 24420: [discriminator loss: 0.569214, acc: 0.718750] [adversarial loss: 1.245098, acc: 0.234375] 24421: [discriminator loss: 0.503963, acc: 0.765625] [adversarial loss: 1.307355, acc: 0.234375] 24422: [discriminator loss: 0.586303, acc: 0.640625] [adversarial loss: 1.218234, acc: 0.296875] 24423: [discriminator loss: 0.523557, acc: 0.710938] [adversarial loss: 1.130988, acc: 0.312500] 24424: [discriminator loss: 0.532649, acc: 0.726562] [adversarial loss: 1.441285, acc: 0.125000] 24425: [discriminator loss: 0.500474, acc: 0.765625] [adversarial loss: 1.044124, acc: 0.328125] 24426: [discriminator loss: 0.567126, acc: 0.726562] [adversarial loss: 1.495500, acc: 0.187500] 24427: [discriminator loss: 0.479857, acc: 0.742188] [adversarial loss: 0.729054, acc: 0.562500] 24428: [discriminator loss: 0.650780, acc: 0.632812] [adversarial loss: 1.853120, acc: 0.046875] 24429: [discriminator loss: 0.611413, acc: 0.632812] [adversarial loss: 0.832161, acc: 0.421875] 24430: [discriminator loss: 0.588265, acc: 0.679688] [adversarial loss: 1.381388, acc: 0.250000] 24431: [discriminator loss: 0.494389, acc: 0.796875] [adversarial loss: 1.079352, acc: 0.296875] 24432: [discriminator loss: 0.510296, acc: 0.757812] [adversarial loss: 1.353225, acc: 0.218750] 24433: [discriminator loss: 0.493630, acc: 0.773438] [adversarial loss: 1.256768, acc: 0.203125] 24434: [discriminator loss: 0.543352, acc: 0.734375] [adversarial loss: 1.017845, acc: 0.312500] 24435: [discriminator loss: 0.563522, acc: 0.726562] [adversarial loss: 1.316821, acc: 0.234375] 24436: [discriminator loss: 0.570720, acc: 0.695312] [adversarial loss: 1.139785, acc: 0.250000] 24437: [discriminator loss: 0.586155, acc: 0.679688] [adversarial loss: 1.608196, acc: 0.109375] 24438: [discriminator loss: 0.597836, acc: 0.632812] [adversarial loss: 0.825427, acc: 0.500000] 24439: [discriminator loss: 0.608958, acc: 0.679688] [adversarial loss: 1.858316, acc: 0.062500] 24440: [discriminator loss: 0.556103, acc: 0.656250] [adversarial loss: 1.019755, acc: 0.343750] 24441: [discriminator loss: 0.571483, acc: 0.773438] [adversarial loss: 1.208753, acc: 0.234375] 24442: [discriminator loss: 0.510476, acc: 0.742188] [adversarial loss: 1.299688, acc: 0.203125] 24443: [discriminator loss: 0.545162, acc: 0.734375] [adversarial loss: 1.201039, acc: 0.265625] 24444: [discriminator loss: 0.541873, acc: 0.710938] [adversarial loss: 1.272637, acc: 0.203125] 24445: [discriminator loss: 0.585002, acc: 0.695312] [adversarial loss: 1.212085, acc: 0.312500] 24446: [discriminator loss: 0.509903, acc: 0.773438] [adversarial loss: 1.203828, acc: 0.265625] 24447: [discriminator loss: 0.568999, acc: 0.726562] [adversarial loss: 1.089956, acc: 0.375000] 24448: [discriminator loss: 0.537937, acc: 0.750000] [adversarial loss: 1.217147, acc: 0.218750] 24449: [discriminator loss: 0.484517, acc: 0.757812] [adversarial loss: 0.980970, acc: 0.359375] 24450: [discriminator loss: 0.511220, acc: 0.703125] [adversarial loss: 1.376295, acc: 0.125000] 24451: [discriminator loss: 0.534182, acc: 0.695312] [adversarial loss: 1.112106, acc: 0.328125] 24452: [discriminator loss: 0.540143, acc: 0.703125] [adversarial loss: 1.439402, acc: 0.156250] 24453: [discriminator loss: 0.582607, acc: 0.695312] [adversarial loss: 0.954380, acc: 0.468750] 24454: [discriminator loss: 0.483377, acc: 0.781250] [adversarial loss: 1.288871, acc: 0.218750] 24455: [discriminator loss: 0.591021, acc: 0.671875] [adversarial loss: 1.204883, acc: 0.140625] 24456: [discriminator loss: 0.480031, acc: 0.781250] [adversarial loss: 1.055344, acc: 0.343750] 24457: [discriminator loss: 0.525652, acc: 0.742188] [adversarial loss: 1.277299, acc: 0.218750] 24458: [discriminator loss: 0.523779, acc: 0.718750] [adversarial loss: 1.015360, acc: 0.359375] 24459: [discriminator loss: 0.567242, acc: 0.703125] [adversarial loss: 1.562770, acc: 0.125000] 24460: [discriminator loss: 0.577590, acc: 0.664062] [adversarial loss: 1.027270, acc: 0.359375] 24461: [discriminator loss: 0.536846, acc: 0.773438] [adversarial loss: 1.817142, acc: 0.031250] 24462: [discriminator loss: 0.534118, acc: 0.695312] [adversarial loss: 0.793101, acc: 0.562500] 24463: [discriminator loss: 0.607238, acc: 0.687500] [adversarial loss: 1.516394, acc: 0.109375] 24464: [discriminator loss: 0.459214, acc: 0.828125] [adversarial loss: 1.297211, acc: 0.156250] 24465: [discriminator loss: 0.523620, acc: 0.742188] [adversarial loss: 1.321873, acc: 0.218750] 24466: [discriminator loss: 0.572826, acc: 0.703125] [adversarial loss: 0.881022, acc: 0.468750] 24467: [discriminator loss: 0.524454, acc: 0.718750] [adversarial loss: 1.661533, acc: 0.062500] 24468: [discriminator loss: 0.510561, acc: 0.726562] [adversarial loss: 0.996344, acc: 0.406250] 24469: [discriminator loss: 0.460426, acc: 0.789062] [adversarial loss: 1.260145, acc: 0.265625] 24470: [discriminator loss: 0.488721, acc: 0.765625] [adversarial loss: 0.912308, acc: 0.484375] 24471: [discriminator loss: 0.509389, acc: 0.742188] [adversarial loss: 0.887207, acc: 0.468750] 24472: [discriminator loss: 0.494591, acc: 0.773438] [adversarial loss: 1.380555, acc: 0.187500] 24473: [discriminator loss: 0.475631, acc: 0.757812] [adversarial loss: 0.901868, acc: 0.500000] 24474: [discriminator loss: 0.579866, acc: 0.710938] [adversarial loss: 1.448207, acc: 0.156250] 24475: [discriminator loss: 0.555131, acc: 0.687500] [adversarial loss: 0.927656, acc: 0.359375] 24476: [discriminator loss: 0.546577, acc: 0.695312] [adversarial loss: 1.458608, acc: 0.171875] 24477: [discriminator loss: 0.508238, acc: 0.789062] [adversarial loss: 0.836237, acc: 0.500000] 24478: [discriminator loss: 0.516352, acc: 0.726562] [adversarial loss: 1.240944, acc: 0.187500] 24479: [discriminator loss: 0.509342, acc: 0.773438] [adversarial loss: 0.853741, acc: 0.453125] 24480: [discriminator loss: 0.488152, acc: 0.734375] [adversarial loss: 1.271384, acc: 0.234375] 24481: [discriminator loss: 0.477217, acc: 0.718750] [adversarial loss: 1.354951, acc: 0.218750] 24482: [discriminator loss: 0.585835, acc: 0.695312] [adversarial loss: 1.237752, acc: 0.218750] 24483: [discriminator loss: 0.522615, acc: 0.757812] [adversarial loss: 1.067829, acc: 0.343750] 24484: [discriminator loss: 0.587674, acc: 0.671875] [adversarial loss: 2.017571, acc: 0.062500] 24485: [discriminator loss: 0.603736, acc: 0.671875] [adversarial loss: 0.827724, acc: 0.453125] 24486: [discriminator loss: 0.545210, acc: 0.679688] [adversarial loss: 1.762455, acc: 0.093750] 24487: [discriminator loss: 0.578089, acc: 0.671875] [adversarial loss: 0.924317, acc: 0.406250] 24488: [discriminator loss: 0.551961, acc: 0.671875] [adversarial loss: 1.705695, acc: 0.109375] 24489: [discriminator loss: 0.546727, acc: 0.718750] [adversarial loss: 1.070055, acc: 0.343750] 24490: [discriminator loss: 0.530484, acc: 0.703125] [adversarial loss: 1.466398, acc: 0.171875] 24491: [discriminator loss: 0.546863, acc: 0.710938] [adversarial loss: 1.370633, acc: 0.171875] 24492: [discriminator loss: 0.513851, acc: 0.757812] [adversarial loss: 1.203150, acc: 0.281250] 24493: [discriminator loss: 0.544239, acc: 0.718750] [adversarial loss: 1.187096, acc: 0.312500] 24494: [discriminator loss: 0.514328, acc: 0.757812] [adversarial loss: 1.267288, acc: 0.218750] 24495: [discriminator loss: 0.462289, acc: 0.789062] [adversarial loss: 1.262489, acc: 0.203125] 24496: [discriminator loss: 0.567198, acc: 0.695312] [adversarial loss: 1.276312, acc: 0.281250] 24497: [discriminator loss: 0.538154, acc: 0.671875] [adversarial loss: 1.023962, acc: 0.296875] 24498: [discriminator loss: 0.496042, acc: 0.789062] [adversarial loss: 1.512875, acc: 0.109375] 24499: [discriminator loss: 0.486978, acc: 0.750000] [adversarial loss: 0.964688, acc: 0.328125] 24500: [discriminator loss: 0.528456, acc: 0.765625] [adversarial loss: 1.469072, acc: 0.125000] 24501: [discriminator loss: 0.514681, acc: 0.750000] [adversarial loss: 0.868683, acc: 0.421875] 24502: [discriminator loss: 0.559383, acc: 0.734375] [adversarial loss: 1.610294, acc: 0.171875] 24503: [discriminator loss: 0.514411, acc: 0.734375] [adversarial loss: 0.648219, acc: 0.593750] 24504: [discriminator loss: 0.583575, acc: 0.695312] [adversarial loss: 1.646030, acc: 0.187500] 24505: [discriminator loss: 0.496598, acc: 0.750000] [adversarial loss: 0.952988, acc: 0.406250] 24506: [discriminator loss: 0.456357, acc: 0.773438] [adversarial loss: 1.293950, acc: 0.281250] 24507: [discriminator loss: 0.471071, acc: 0.773438] [adversarial loss: 0.949153, acc: 0.406250] 24508: [discriminator loss: 0.518080, acc: 0.742188] [adversarial loss: 1.521598, acc: 0.171875] 24509: [discriminator loss: 0.497925, acc: 0.734375] [adversarial loss: 0.960420, acc: 0.375000] 24510: [discriminator loss: 0.557353, acc: 0.710938] [adversarial loss: 1.379499, acc: 0.203125] 24511: [discriminator loss: 0.574348, acc: 0.710938] [adversarial loss: 1.068630, acc: 0.406250] 24512: [discriminator loss: 0.513918, acc: 0.765625] [adversarial loss: 1.182615, acc: 0.218750] 24513: [discriminator loss: 0.502543, acc: 0.742188] [adversarial loss: 0.864917, acc: 0.453125] 24514: [discriminator loss: 0.568532, acc: 0.695312] [adversarial loss: 1.275079, acc: 0.281250] 24515: [discriminator loss: 0.590890, acc: 0.648438] [adversarial loss: 0.743577, acc: 0.593750] 24516: [discriminator loss: 0.569317, acc: 0.703125] [adversarial loss: 1.561413, acc: 0.171875] 24517: [discriminator loss: 0.600890, acc: 0.687500] [adversarial loss: 1.046588, acc: 0.296875] 24518: [discriminator loss: 0.483178, acc: 0.804688] [adversarial loss: 1.047911, acc: 0.375000] 24519: [discriminator loss: 0.517575, acc: 0.734375] [adversarial loss: 1.165320, acc: 0.265625] 24520: [discriminator loss: 0.581006, acc: 0.664062] [adversarial loss: 1.262252, acc: 0.171875] 24521: [discriminator loss: 0.567827, acc: 0.679688] [adversarial loss: 1.800866, acc: 0.093750] 24522: [discriminator loss: 0.620943, acc: 0.632812] [adversarial loss: 0.800227, acc: 0.484375] 24523: [discriminator loss: 0.571823, acc: 0.671875] [adversarial loss: 1.282948, acc: 0.281250] 24524: [discriminator loss: 0.501440, acc: 0.742188] [adversarial loss: 0.992532, acc: 0.375000] 24525: [discriminator loss: 0.527409, acc: 0.703125] [adversarial loss: 1.339279, acc: 0.187500] 24526: [discriminator loss: 0.521033, acc: 0.710938] [adversarial loss: 1.019619, acc: 0.406250] 24527: [discriminator loss: 0.468233, acc: 0.796875] [adversarial loss: 1.083103, acc: 0.312500] 24528: [discriminator loss: 0.527512, acc: 0.773438] [adversarial loss: 1.084140, acc: 0.312500] 24529: [discriminator loss: 0.493005, acc: 0.757812] [adversarial loss: 1.474240, acc: 0.140625] 24530: [discriminator loss: 0.536574, acc: 0.726562] [adversarial loss: 0.831727, acc: 0.500000] 24531: [discriminator loss: 0.455716, acc: 0.789062] [adversarial loss: 1.404739, acc: 0.171875] 24532: [discriminator loss: 0.575829, acc: 0.718750] [adversarial loss: 0.822316, acc: 0.515625] 24533: [discriminator loss: 0.614748, acc: 0.695312] [adversarial loss: 2.140987, acc: 0.046875] 24534: [discriminator loss: 0.562237, acc: 0.664062] [adversarial loss: 1.077159, acc: 0.406250] 24535: [discriminator loss: 0.530942, acc: 0.742188] [adversarial loss: 1.374617, acc: 0.203125] 24536: [discriminator loss: 0.471601, acc: 0.796875] [adversarial loss: 1.189669, acc: 0.187500] 24537: [discriminator loss: 0.548184, acc: 0.742188] [adversarial loss: 1.338014, acc: 0.218750] 24538: [discriminator loss: 0.537058, acc: 0.718750] [adversarial loss: 1.128994, acc: 0.281250] 24539: [discriminator loss: 0.529519, acc: 0.750000] [adversarial loss: 1.388915, acc: 0.187500] 24540: [discriminator loss: 0.499900, acc: 0.757812] [adversarial loss: 1.111685, acc: 0.265625] 24541: [discriminator loss: 0.506174, acc: 0.750000] [adversarial loss: 1.137958, acc: 0.328125] 24542: [discriminator loss: 0.553777, acc: 0.710938] [adversarial loss: 1.856225, acc: 0.078125] 24543: [discriminator loss: 0.567655, acc: 0.679688] [adversarial loss: 0.892625, acc: 0.421875] 24544: [discriminator loss: 0.570412, acc: 0.664062] [adversarial loss: 1.355611, acc: 0.265625] 24545: [discriminator loss: 0.539811, acc: 0.703125] [adversarial loss: 1.089315, acc: 0.328125] 24546: [discriminator loss: 0.493820, acc: 0.773438] [adversarial loss: 1.343950, acc: 0.171875] 24547: [discriminator loss: 0.476917, acc: 0.757812] [adversarial loss: 0.986981, acc: 0.390625] 24548: [discriminator loss: 0.620219, acc: 0.679688] [adversarial loss: 1.193486, acc: 0.171875] 24549: [discriminator loss: 0.619598, acc: 0.664062] [adversarial loss: 1.004759, acc: 0.359375] 24550: [discriminator loss: 0.483231, acc: 0.789062] [adversarial loss: 1.381015, acc: 0.171875] 24551: [discriminator loss: 0.554785, acc: 0.703125] [adversarial loss: 1.145316, acc: 0.281250] 24552: [discriminator loss: 0.540591, acc: 0.734375] [adversarial loss: 1.411115, acc: 0.203125] 24553: [discriminator loss: 0.496732, acc: 0.734375] [adversarial loss: 0.970359, acc: 0.390625] 24554: [discriminator loss: 0.476123, acc: 0.773438] [adversarial loss: 1.599971, acc: 0.109375] 24555: [discriminator loss: 0.537306, acc: 0.757812] [adversarial loss: 1.011394, acc: 0.421875] 24556: [discriminator loss: 0.447734, acc: 0.796875] [adversarial loss: 1.464470, acc: 0.140625] 24557: [discriminator loss: 0.590213, acc: 0.679688] [adversarial loss: 0.960249, acc: 0.437500] 24558: [discriminator loss: 0.506787, acc: 0.726562] [adversarial loss: 1.406813, acc: 0.171875] 24559: [discriminator loss: 0.497797, acc: 0.742188] [adversarial loss: 1.221073, acc: 0.296875] 24560: [discriminator loss: 0.513466, acc: 0.734375] [adversarial loss: 1.250736, acc: 0.250000] 24561: [discriminator loss: 0.480405, acc: 0.773438] [adversarial loss: 1.055354, acc: 0.390625] 24562: [discriminator loss: 0.533822, acc: 0.695312] [adversarial loss: 1.598486, acc: 0.171875] 24563: [discriminator loss: 0.524729, acc: 0.695312] [adversarial loss: 0.962654, acc: 0.375000] 24564: [discriminator loss: 0.580803, acc: 0.687500] [adversarial loss: 1.801504, acc: 0.078125] 24565: [discriminator loss: 0.577987, acc: 0.710938] [adversarial loss: 0.858773, acc: 0.453125] 24566: [discriminator loss: 0.568030, acc: 0.718750] [adversarial loss: 1.581270, acc: 0.062500] 24567: [discriminator loss: 0.565081, acc: 0.703125] [adversarial loss: 1.073974, acc: 0.343750] 24568: [discriminator loss: 0.547477, acc: 0.726562] [adversarial loss: 0.936247, acc: 0.421875] 24569: [discriminator loss: 0.525185, acc: 0.765625] [adversarial loss: 1.140480, acc: 0.265625] 24570: [discriminator loss: 0.552478, acc: 0.726562] [adversarial loss: 1.233541, acc: 0.250000] 24571: [discriminator loss: 0.468612, acc: 0.789062] [adversarial loss: 0.902088, acc: 0.453125] 24572: [discriminator loss: 0.537730, acc: 0.710938] [adversarial loss: 1.393232, acc: 0.203125] 24573: [discriminator loss: 0.610868, acc: 0.648438] [adversarial loss: 1.016109, acc: 0.421875] 24574: [discriminator loss: 0.561112, acc: 0.703125] [adversarial loss: 1.351101, acc: 0.218750] 24575: [discriminator loss: 0.473481, acc: 0.789062] [adversarial loss: 0.992892, acc: 0.406250] 24576: [discriminator loss: 0.495568, acc: 0.789062] [adversarial loss: 0.901602, acc: 0.453125] 24577: [discriminator loss: 0.555677, acc: 0.671875] [adversarial loss: 1.138746, acc: 0.312500] 24578: [discriminator loss: 0.492909, acc: 0.734375] [adversarial loss: 1.038013, acc: 0.390625] 24579: [discriminator loss: 0.504507, acc: 0.765625] [adversarial loss: 1.402549, acc: 0.203125] 24580: [discriminator loss: 0.487401, acc: 0.796875] [adversarial loss: 0.884833, acc: 0.390625] 24581: [discriminator loss: 0.652732, acc: 0.632812] [adversarial loss: 1.705802, acc: 0.078125] 24582: [discriminator loss: 0.691292, acc: 0.632812] [adversarial loss: 0.707665, acc: 0.593750] 24583: [discriminator loss: 0.613279, acc: 0.632812] [adversarial loss: 1.245785, acc: 0.234375] 24584: [discriminator loss: 0.590434, acc: 0.664062] [adversarial loss: 1.172427, acc: 0.171875] 24585: [discriminator loss: 0.531534, acc: 0.710938] [adversarial loss: 1.239619, acc: 0.234375] 24586: [discriminator loss: 0.569925, acc: 0.679688] [adversarial loss: 0.870814, acc: 0.406250] 24587: [discriminator loss: 0.496049, acc: 0.781250] [adversarial loss: 1.463438, acc: 0.203125] 24588: [discriminator loss: 0.517200, acc: 0.703125] [adversarial loss: 0.924284, acc: 0.468750] 24589: [discriminator loss: 0.531637, acc: 0.718750] [adversarial loss: 1.552809, acc: 0.125000] 24590: [discriminator loss: 0.491517, acc: 0.750000] [adversarial loss: 0.874442, acc: 0.421875] 24591: [discriminator loss: 0.632595, acc: 0.640625] [adversarial loss: 1.629727, acc: 0.140625] 24592: [discriminator loss: 0.533402, acc: 0.687500] [adversarial loss: 1.164440, acc: 0.359375] 24593: [discriminator loss: 0.509913, acc: 0.695312] [adversarial loss: 1.489921, acc: 0.281250] 24594: [discriminator loss: 0.656408, acc: 0.648438] [adversarial loss: 0.731584, acc: 0.531250] 24595: [discriminator loss: 0.586899, acc: 0.679688] [adversarial loss: 1.496627, acc: 0.156250] 24596: [discriminator loss: 0.574408, acc: 0.679688] [adversarial loss: 1.147081, acc: 0.265625] 24597: [discriminator loss: 0.578045, acc: 0.648438] [adversarial loss: 1.397565, acc: 0.171875] 24598: [discriminator loss: 0.533587, acc: 0.734375] [adversarial loss: 1.042366, acc: 0.312500] 24599: [discriminator loss: 0.475097, acc: 0.765625] [adversarial loss: 1.315255, acc: 0.234375] 24600: [discriminator loss: 0.523226, acc: 0.765625] [adversarial loss: 1.256024, acc: 0.187500] 24601: [discriminator loss: 0.552193, acc: 0.703125] [adversarial loss: 1.019009, acc: 0.312500] 24602: [discriminator loss: 0.544859, acc: 0.703125] [adversarial loss: 1.576560, acc: 0.125000] 24603: [discriminator loss: 0.577811, acc: 0.671875] [adversarial loss: 1.216249, acc: 0.250000] 24604: [discriminator loss: 0.485818, acc: 0.796875] [adversarial loss: 1.120520, acc: 0.296875] 24605: [discriminator loss: 0.514413, acc: 0.750000] [adversarial loss: 1.216391, acc: 0.296875] 24606: [discriminator loss: 0.541737, acc: 0.687500] [adversarial loss: 1.042699, acc: 0.281250] 24607: [discriminator loss: 0.537087, acc: 0.734375] [adversarial loss: 1.233825, acc: 0.234375] 24608: [discriminator loss: 0.609314, acc: 0.648438] [adversarial loss: 0.977971, acc: 0.406250] 24609: [discriminator loss: 0.510730, acc: 0.796875] [adversarial loss: 1.513470, acc: 0.140625] 24610: [discriminator loss: 0.520668, acc: 0.695312] [adversarial loss: 1.281463, acc: 0.234375] 24611: [discriminator loss: 0.535700, acc: 0.750000] [adversarial loss: 1.057069, acc: 0.296875] 24612: [discriminator loss: 0.558197, acc: 0.734375] [adversarial loss: 1.320347, acc: 0.281250] 24613: [discriminator loss: 0.511770, acc: 0.781250] [adversarial loss: 1.252197, acc: 0.218750] 24614: [discriminator loss: 0.487134, acc: 0.750000] [adversarial loss: 1.054987, acc: 0.281250] 24615: [discriminator loss: 0.518407, acc: 0.750000] [adversarial loss: 1.547558, acc: 0.140625] 24616: [discriminator loss: 0.514911, acc: 0.750000] [adversarial loss: 0.941209, acc: 0.421875] 24617: [discriminator loss: 0.593567, acc: 0.671875] [adversarial loss: 1.529966, acc: 0.140625] 24618: [discriminator loss: 0.551821, acc: 0.742188] [adversarial loss: 0.844980, acc: 0.453125] 24619: [discriminator loss: 0.589684, acc: 0.726562] [adversarial loss: 1.680741, acc: 0.156250] 24620: [discriminator loss: 0.569645, acc: 0.679688] [adversarial loss: 0.849888, acc: 0.390625] 24621: [discriminator loss: 0.548238, acc: 0.718750] [adversarial loss: 1.469555, acc: 0.125000] 24622: [discriminator loss: 0.554543, acc: 0.734375] [adversarial loss: 1.218363, acc: 0.250000] 24623: [discriminator loss: 0.607387, acc: 0.695312] [adversarial loss: 1.094866, acc: 0.296875] 24624: [discriminator loss: 0.600551, acc: 0.679688] [adversarial loss: 1.146236, acc: 0.312500] 24625: [discriminator loss: 0.554748, acc: 0.695312] [adversarial loss: 1.121964, acc: 0.375000] 24626: [discriminator loss: 0.546200, acc: 0.679688] [adversarial loss: 1.111955, acc: 0.312500] 24627: [discriminator loss: 0.520102, acc: 0.695312] [adversarial loss: 1.289414, acc: 0.203125] 24628: [discriminator loss: 0.523472, acc: 0.734375] [adversarial loss: 0.960187, acc: 0.468750] 24629: [discriminator loss: 0.539963, acc: 0.710938] [adversarial loss: 1.521387, acc: 0.093750] 24630: [discriminator loss: 0.537317, acc: 0.703125] [adversarial loss: 0.579482, acc: 0.640625] 24631: [discriminator loss: 0.602319, acc: 0.718750] [adversarial loss: 1.867649, acc: 0.046875] 24632: [discriminator loss: 0.520509, acc: 0.710938] [adversarial loss: 0.978692, acc: 0.468750] 24633: [discriminator loss: 0.598574, acc: 0.710938] [adversarial loss: 1.475675, acc: 0.234375] 24634: [discriminator loss: 0.488066, acc: 0.765625] [adversarial loss: 1.160775, acc: 0.265625] 24635: [discriminator loss: 0.530893, acc: 0.718750] [adversarial loss: 1.183948, acc: 0.156250] 24636: [discriminator loss: 0.531079, acc: 0.718750] [adversarial loss: 0.945445, acc: 0.468750] 24637: [discriminator loss: 0.567842, acc: 0.734375] [adversarial loss: 1.453932, acc: 0.140625] 24638: [discriminator loss: 0.608328, acc: 0.664062] [adversarial loss: 0.988459, acc: 0.343750] 24639: [discriminator loss: 0.561000, acc: 0.734375] [adversarial loss: 1.430367, acc: 0.140625] 24640: [discriminator loss: 0.532261, acc: 0.687500] [adversarial loss: 0.917992, acc: 0.500000] 24641: [discriminator loss: 0.572996, acc: 0.695312] [adversarial loss: 1.546398, acc: 0.125000] 24642: [discriminator loss: 0.570983, acc: 0.695312] [adversarial loss: 0.979920, acc: 0.421875] 24643: [discriminator loss: 0.537573, acc: 0.750000] [adversarial loss: 1.246495, acc: 0.203125] 24644: [discriminator loss: 0.578891, acc: 0.695312] [adversarial loss: 1.192683, acc: 0.265625] 24645: [discriminator loss: 0.479831, acc: 0.804688] [adversarial loss: 1.460167, acc: 0.265625] 24646: [discriminator loss: 0.497452, acc: 0.710938] [adversarial loss: 1.006400, acc: 0.359375] 24647: [discriminator loss: 0.550236, acc: 0.695312] [adversarial loss: 1.591747, acc: 0.109375] 24648: [discriminator loss: 0.532830, acc: 0.742188] [adversarial loss: 0.869276, acc: 0.406250] 24649: [discriminator loss: 0.520878, acc: 0.765625] [adversarial loss: 1.403658, acc: 0.187500] 24650: [discriminator loss: 0.518907, acc: 0.750000] [adversarial loss: 1.038094, acc: 0.328125] 24651: [discriminator loss: 0.504216, acc: 0.750000] [adversarial loss: 1.312777, acc: 0.203125] 24652: [discriminator loss: 0.457976, acc: 0.796875] [adversarial loss: 1.477446, acc: 0.125000] 24653: [discriminator loss: 0.558506, acc: 0.703125] [adversarial loss: 0.853560, acc: 0.406250] 24654: [discriminator loss: 0.570015, acc: 0.687500] [adversarial loss: 1.389651, acc: 0.203125] 24655: [discriminator loss: 0.511684, acc: 0.765625] [adversarial loss: 1.013136, acc: 0.359375] 24656: [discriminator loss: 0.511130, acc: 0.742188] [adversarial loss: 1.026227, acc: 0.359375] 24657: [discriminator loss: 0.490277, acc: 0.781250] [adversarial loss: 0.786015, acc: 0.562500] 24658: [discriminator loss: 0.503477, acc: 0.757812] [adversarial loss: 1.120040, acc: 0.312500] 24659: [discriminator loss: 0.478970, acc: 0.718750] [adversarial loss: 1.025214, acc: 0.359375] 24660: [discriminator loss: 0.495371, acc: 0.781250] [adversarial loss: 0.995640, acc: 0.312500] 24661: [discriminator loss: 0.448450, acc: 0.812500] [adversarial loss: 0.990517, acc: 0.453125] 24662: [discriminator loss: 0.519255, acc: 0.726562] [adversarial loss: 1.013074, acc: 0.359375] 24663: [discriminator loss: 0.510031, acc: 0.726562] [adversarial loss: 1.384894, acc: 0.109375] 24664: [discriminator loss: 0.523294, acc: 0.742188] [adversarial loss: 1.003857, acc: 0.421875] 24665: [discriminator loss: 0.568925, acc: 0.695312] [adversarial loss: 1.504452, acc: 0.140625] 24666: [discriminator loss: 0.568416, acc: 0.687500] [adversarial loss: 0.701844, acc: 0.671875] 24667: [discriminator loss: 0.493076, acc: 0.781250] [adversarial loss: 1.111800, acc: 0.312500] 24668: [discriminator loss: 0.500508, acc: 0.750000] [adversarial loss: 0.584617, acc: 0.687500] 24669: [discriminator loss: 0.602846, acc: 0.632812] [adversarial loss: 1.474260, acc: 0.140625] 24670: [discriminator loss: 0.545171, acc: 0.695312] [adversarial loss: 1.130028, acc: 0.312500] 24671: [discriminator loss: 0.532338, acc: 0.726562] [adversarial loss: 1.208030, acc: 0.328125] 24672: [discriminator loss: 0.532864, acc: 0.734375] [adversarial loss: 1.020242, acc: 0.328125] 24673: [discriminator loss: 0.544744, acc: 0.671875] [adversarial loss: 1.616556, acc: 0.093750] 24674: [discriminator loss: 0.494912, acc: 0.757812] [adversarial loss: 1.381733, acc: 0.234375] 24675: [discriminator loss: 0.530627, acc: 0.750000] [adversarial loss: 1.295147, acc: 0.281250] 24676: [discriminator loss: 0.517776, acc: 0.773438] [adversarial loss: 1.417085, acc: 0.218750] 24677: [discriminator loss: 0.496484, acc: 0.757812] [adversarial loss: 0.995127, acc: 0.421875] 24678: [discriminator loss: 0.552316, acc: 0.742188] [adversarial loss: 1.612089, acc: 0.171875] 24679: [discriminator loss: 0.540193, acc: 0.718750] [adversarial loss: 1.088870, acc: 0.234375] 24680: [discriminator loss: 0.518398, acc: 0.687500] [adversarial loss: 1.939977, acc: 0.109375] 24681: [discriminator loss: 0.512414, acc: 0.718750] [adversarial loss: 0.702218, acc: 0.609375] 24682: [discriminator loss: 0.702300, acc: 0.632812] [adversarial loss: 1.654588, acc: 0.140625] 24683: [discriminator loss: 0.500168, acc: 0.789062] [adversarial loss: 1.052611, acc: 0.296875] 24684: [discriminator loss: 0.568505, acc: 0.695312] [adversarial loss: 1.091683, acc: 0.296875] 24685: [discriminator loss: 0.504768, acc: 0.703125] [adversarial loss: 1.377212, acc: 0.203125] 24686: [discriminator loss: 0.551636, acc: 0.726562] [adversarial loss: 1.226322, acc: 0.218750] 24687: [discriminator loss: 0.502621, acc: 0.718750] [adversarial loss: 1.395308, acc: 0.140625] 24688: [discriminator loss: 0.506152, acc: 0.773438] [adversarial loss: 1.120255, acc: 0.359375] 24689: [discriminator loss: 0.607643, acc: 0.671875] [adversarial loss: 1.429221, acc: 0.140625] 24690: [discriminator loss: 0.534458, acc: 0.750000] [adversarial loss: 1.226971, acc: 0.218750] 24691: [discriminator loss: 0.549352, acc: 0.734375] [adversarial loss: 1.083314, acc: 0.296875] 24692: [discriminator loss: 0.575521, acc: 0.687500] [adversarial loss: 1.212915, acc: 0.250000] 24693: [discriminator loss: 0.561475, acc: 0.640625] [adversarial loss: 1.228479, acc: 0.218750] 24694: [discriminator loss: 0.495039, acc: 0.765625] [adversarial loss: 0.990894, acc: 0.296875] 24695: [discriminator loss: 0.462777, acc: 0.828125] [adversarial loss: 1.436652, acc: 0.218750] 24696: [discriminator loss: 0.512806, acc: 0.734375] [adversarial loss: 1.067456, acc: 0.453125] 24697: [discriminator loss: 0.544549, acc: 0.726562] [adversarial loss: 1.451069, acc: 0.140625] 24698: [discriminator loss: 0.513097, acc: 0.695312] [adversarial loss: 0.844833, acc: 0.468750] 24699: [discriminator loss: 0.521091, acc: 0.750000] [adversarial loss: 1.702269, acc: 0.093750] 24700: [discriminator loss: 0.565494, acc: 0.710938] [adversarial loss: 0.926875, acc: 0.468750] 24701: [discriminator loss: 0.462680, acc: 0.781250] [adversarial loss: 1.346474, acc: 0.187500] 24702: [discriminator loss: 0.559245, acc: 0.679688] [adversarial loss: 1.083153, acc: 0.343750] 24703: [discriminator loss: 0.543457, acc: 0.703125] [adversarial loss: 1.762613, acc: 0.093750] 24704: [discriminator loss: 0.566454, acc: 0.664062] [adversarial loss: 0.926387, acc: 0.375000] 24705: [discriminator loss: 0.575817, acc: 0.695312] [adversarial loss: 1.567464, acc: 0.156250] 24706: [discriminator loss: 0.588383, acc: 0.695312] [adversarial loss: 0.876505, acc: 0.453125] 24707: [discriminator loss: 0.541109, acc: 0.734375] [adversarial loss: 1.524194, acc: 0.156250] 24708: [discriminator loss: 0.556350, acc: 0.703125] [adversarial loss: 0.933013, acc: 0.468750] 24709: [discriminator loss: 0.506969, acc: 0.750000] [adversarial loss: 1.302749, acc: 0.281250] 24710: [discriminator loss: 0.601347, acc: 0.695312] [adversarial loss: 1.139957, acc: 0.296875] 24711: [discriminator loss: 0.483927, acc: 0.757812] [adversarial loss: 1.292367, acc: 0.218750] 24712: [discriminator loss: 0.520332, acc: 0.710938] [adversarial loss: 1.047816, acc: 0.359375] 24713: [discriminator loss: 0.566886, acc: 0.687500] [adversarial loss: 1.301764, acc: 0.234375] 24714: [discriminator loss: 0.457940, acc: 0.781250] [adversarial loss: 1.057992, acc: 0.390625] 24715: [discriminator loss: 0.529776, acc: 0.718750] [adversarial loss: 1.326242, acc: 0.109375] 24716: [discriminator loss: 0.511314, acc: 0.757812] [adversarial loss: 1.536893, acc: 0.171875] 24717: [discriminator loss: 0.536710, acc: 0.757812] [adversarial loss: 1.053946, acc: 0.343750] 24718: [discriminator loss: 0.455269, acc: 0.804688] [adversarial loss: 1.503441, acc: 0.062500] 24719: [discriminator loss: 0.482606, acc: 0.742188] [adversarial loss: 1.321360, acc: 0.234375] 24720: [discriminator loss: 0.524860, acc: 0.734375] [adversarial loss: 1.557369, acc: 0.171875] 24721: [discriminator loss: 0.528075, acc: 0.718750] [adversarial loss: 1.116580, acc: 0.312500] 24722: [discriminator loss: 0.521211, acc: 0.765625] [adversarial loss: 1.536657, acc: 0.062500] 24723: [discriminator loss: 0.550231, acc: 0.703125] [adversarial loss: 0.872584, acc: 0.500000] 24724: [discriminator loss: 0.545409, acc: 0.734375] [adversarial loss: 1.554340, acc: 0.171875] 24725: [discriminator loss: 0.543708, acc: 0.718750] [adversarial loss: 1.033198, acc: 0.421875] 24726: [discriminator loss: 0.492808, acc: 0.773438] [adversarial loss: 1.655579, acc: 0.125000] 24727: [discriminator loss: 0.559693, acc: 0.703125] [adversarial loss: 0.959407, acc: 0.406250] 24728: [discriminator loss: 0.550824, acc: 0.703125] [adversarial loss: 1.829175, acc: 0.109375] 24729: [discriminator loss: 0.567247, acc: 0.703125] [adversarial loss: 0.973460, acc: 0.375000] 24730: [discriminator loss: 0.532143, acc: 0.703125] [adversarial loss: 1.564003, acc: 0.125000] 24731: [discriminator loss: 0.549461, acc: 0.695312] [adversarial loss: 0.968343, acc: 0.359375] 24732: [discriminator loss: 0.531352, acc: 0.757812] [adversarial loss: 1.329991, acc: 0.218750] 24733: [discriminator loss: 0.562281, acc: 0.687500] [adversarial loss: 0.990769, acc: 0.421875] 24734: [discriminator loss: 0.468582, acc: 0.781250] [adversarial loss: 1.209087, acc: 0.265625] 24735: [discriminator loss: 0.524600, acc: 0.734375] [adversarial loss: 1.026098, acc: 0.406250] 24736: [discriminator loss: 0.536851, acc: 0.765625] [adversarial loss: 1.453258, acc: 0.218750] 24737: [discriminator loss: 0.478275, acc: 0.765625] [adversarial loss: 1.111431, acc: 0.296875] 24738: [discriminator loss: 0.528312, acc: 0.718750] [adversarial loss: 1.296231, acc: 0.187500] 24739: [discriminator loss: 0.501155, acc: 0.742188] [adversarial loss: 1.044790, acc: 0.250000] 24740: [discriminator loss: 0.474871, acc: 0.781250] [adversarial loss: 1.456869, acc: 0.187500] 24741: [discriminator loss: 0.580278, acc: 0.648438] [adversarial loss: 0.873385, acc: 0.406250] 24742: [discriminator loss: 0.569882, acc: 0.726562] [adversarial loss: 1.531992, acc: 0.156250] 24743: [discriminator loss: 0.551974, acc: 0.703125] [adversarial loss: 0.856850, acc: 0.421875] 24744: [discriminator loss: 0.556086, acc: 0.742188] [adversarial loss: 1.709914, acc: 0.125000] 24745: [discriminator loss: 0.540288, acc: 0.726562] [adversarial loss: 0.948944, acc: 0.390625] 24746: [discriminator loss: 0.546920, acc: 0.687500] [adversarial loss: 1.257323, acc: 0.203125] 24747: [discriminator loss: 0.562035, acc: 0.695312] [adversarial loss: 1.052925, acc: 0.328125] 24748: [discriminator loss: 0.591192, acc: 0.734375] [adversarial loss: 1.179285, acc: 0.265625] 24749: [discriminator loss: 0.491605, acc: 0.765625] [adversarial loss: 1.336529, acc: 0.187500] 24750: [discriminator loss: 0.464157, acc: 0.820312] [adversarial loss: 0.949158, acc: 0.343750] 24751: [discriminator loss: 0.578523, acc: 0.703125] [adversarial loss: 1.262846, acc: 0.203125] 24752: [discriminator loss: 0.523485, acc: 0.742188] [adversarial loss: 1.164107, acc: 0.234375] 24753: [discriminator loss: 0.509434, acc: 0.773438] [adversarial loss: 1.082226, acc: 0.281250] 24754: [discriminator loss: 0.600565, acc: 0.648438] [adversarial loss: 0.938018, acc: 0.390625] 24755: [discriminator loss: 0.583793, acc: 0.679688] [adversarial loss: 1.301733, acc: 0.203125] 24756: [discriminator loss: 0.502757, acc: 0.750000] [adversarial loss: 1.363870, acc: 0.140625] 24757: [discriminator loss: 0.467747, acc: 0.781250] [adversarial loss: 0.832211, acc: 0.531250] 24758: [discriminator loss: 0.598373, acc: 0.742188] [adversarial loss: 1.926643, acc: 0.031250] 24759: [discriminator loss: 0.592177, acc: 0.648438] [adversarial loss: 0.727329, acc: 0.625000] 24760: [discriminator loss: 0.643394, acc: 0.632812] [adversarial loss: 1.896264, acc: 0.078125] 24761: [discriminator loss: 0.509240, acc: 0.726562] [adversarial loss: 0.939301, acc: 0.359375] 24762: [discriminator loss: 0.524433, acc: 0.726562] [adversarial loss: 1.386324, acc: 0.125000] 24763: [discriminator loss: 0.550013, acc: 0.726562] [adversarial loss: 0.971561, acc: 0.359375] 24764: [discriminator loss: 0.552425, acc: 0.703125] [adversarial loss: 1.635027, acc: 0.140625] 24765: [discriminator loss: 0.576736, acc: 0.718750] [adversarial loss: 0.870942, acc: 0.437500] 24766: [discriminator loss: 0.575058, acc: 0.679688] [adversarial loss: 1.427860, acc: 0.171875] 24767: [discriminator loss: 0.589088, acc: 0.703125] [adversarial loss: 1.003787, acc: 0.359375] 24768: [discriminator loss: 0.572424, acc: 0.703125] [adversarial loss: 1.196220, acc: 0.281250] 24769: [discriminator loss: 0.541750, acc: 0.687500] [adversarial loss: 1.361146, acc: 0.203125] 24770: [discriminator loss: 0.474395, acc: 0.757812] [adversarial loss: 1.509401, acc: 0.187500] 24771: [discriminator loss: 0.595881, acc: 0.648438] [adversarial loss: 1.201733, acc: 0.265625] 24772: [discriminator loss: 0.558390, acc: 0.703125] [adversarial loss: 1.328168, acc: 0.125000] 24773: [discriminator loss: 0.567179, acc: 0.703125] [adversarial loss: 1.197362, acc: 0.187500] 24774: [discriminator loss: 0.562108, acc: 0.703125] [adversarial loss: 1.265009, acc: 0.218750] 24775: [discriminator loss: 0.612918, acc: 0.687500] [adversarial loss: 0.967342, acc: 0.328125] 24776: [discriminator loss: 0.572531, acc: 0.703125] [adversarial loss: 1.663496, acc: 0.078125] 24777: [discriminator loss: 0.651145, acc: 0.570312] [adversarial loss: 1.043585, acc: 0.265625] 24778: [discriminator loss: 0.561834, acc: 0.710938] [adversarial loss: 1.407012, acc: 0.156250] 24779: [discriminator loss: 0.516418, acc: 0.765625] [adversarial loss: 1.218441, acc: 0.187500] 24780: [discriminator loss: 0.569816, acc: 0.687500] [adversarial loss: 1.211432, acc: 0.171875] 24781: [discriminator loss: 0.471618, acc: 0.773438] [adversarial loss: 1.249002, acc: 0.203125] 24782: [discriminator loss: 0.541465, acc: 0.671875] [adversarial loss: 1.384292, acc: 0.171875] 24783: [discriminator loss: 0.508139, acc: 0.757812] [adversarial loss: 1.616245, acc: 0.187500] 24784: [discriminator loss: 0.608690, acc: 0.710938] [adversarial loss: 0.870723, acc: 0.421875] 24785: [discriminator loss: 0.584914, acc: 0.664062] [adversarial loss: 1.490824, acc: 0.125000] 24786: [discriminator loss: 0.608650, acc: 0.703125] [adversarial loss: 0.997786, acc: 0.390625] 24787: [discriminator loss: 0.536036, acc: 0.718750] [adversarial loss: 1.577499, acc: 0.140625] 24788: [discriminator loss: 0.568713, acc: 0.679688] [adversarial loss: 1.102182, acc: 0.265625] 24789: [discriminator loss: 0.570128, acc: 0.679688] [adversarial loss: 1.635022, acc: 0.125000] 24790: [discriminator loss: 0.551013, acc: 0.726562] [adversarial loss: 1.033427, acc: 0.359375] 24791: [discriminator loss: 0.512895, acc: 0.734375] [adversarial loss: 1.344504, acc: 0.203125] 24792: [discriminator loss: 0.503305, acc: 0.765625] [adversarial loss: 0.811394, acc: 0.515625] 24793: [discriminator loss: 0.563091, acc: 0.687500] [adversarial loss: 1.643954, acc: 0.156250] 24794: [discriminator loss: 0.492117, acc: 0.742188] [adversarial loss: 0.873843, acc: 0.359375] 24795: [discriminator loss: 0.537854, acc: 0.710938] [adversarial loss: 1.173321, acc: 0.250000] 24796: [discriminator loss: 0.534001, acc: 0.726562] [adversarial loss: 0.910191, acc: 0.359375] 24797: [discriminator loss: 0.576945, acc: 0.734375] [adversarial loss: 1.458426, acc: 0.203125] 24798: [discriminator loss: 0.537934, acc: 0.710938] [adversarial loss: 0.741130, acc: 0.531250] 24799: [discriminator loss: 0.560847, acc: 0.718750] [adversarial loss: 1.345486, acc: 0.156250] 24800: [discriminator loss: 0.573572, acc: 0.710938] [adversarial loss: 0.788671, acc: 0.500000] 24801: [discriminator loss: 0.551903, acc: 0.726562] [adversarial loss: 1.124789, acc: 0.328125] 24802: [discriminator loss: 0.532976, acc: 0.757812] [adversarial loss: 0.970373, acc: 0.546875] 24803: [discriminator loss: 0.543517, acc: 0.742188] [adversarial loss: 1.332550, acc: 0.296875] 24804: [discriminator loss: 0.564808, acc: 0.703125] [adversarial loss: 0.960999, acc: 0.437500] 24805: [discriminator loss: 0.460979, acc: 0.820312] [adversarial loss: 1.139666, acc: 0.234375] 24806: [discriminator loss: 0.482073, acc: 0.742188] [adversarial loss: 0.988250, acc: 0.359375] 24807: [discriminator loss: 0.501187, acc: 0.765625] [adversarial loss: 1.433069, acc: 0.125000] 24808: [discriminator loss: 0.539164, acc: 0.703125] [adversarial loss: 1.116349, acc: 0.328125] 24809: [discriminator loss: 0.477685, acc: 0.734375] [adversarial loss: 1.792844, acc: 0.125000] 24810: [discriminator loss: 0.554193, acc: 0.695312] [adversarial loss: 0.961478, acc: 0.453125] 24811: [discriminator loss: 0.541972, acc: 0.757812] [adversarial loss: 1.660822, acc: 0.078125] 24812: [discriminator loss: 0.500708, acc: 0.750000] [adversarial loss: 1.023239, acc: 0.437500] 24813: [discriminator loss: 0.541966, acc: 0.734375] [adversarial loss: 1.429240, acc: 0.203125] 24814: [discriminator loss: 0.603902, acc: 0.687500] [adversarial loss: 0.863298, acc: 0.484375] 24815: [discriminator loss: 0.596027, acc: 0.718750] [adversarial loss: 1.426736, acc: 0.125000] 24816: [discriminator loss: 0.451803, acc: 0.765625] [adversarial loss: 1.032441, acc: 0.390625] 24817: [discriminator loss: 0.526713, acc: 0.750000] [adversarial loss: 1.392993, acc: 0.171875] 24818: [discriminator loss: 0.520496, acc: 0.742188] [adversarial loss: 1.229692, acc: 0.312500] 24819: [discriminator loss: 0.568196, acc: 0.695312] [adversarial loss: 1.384043, acc: 0.187500] 24820: [discriminator loss: 0.551358, acc: 0.734375] [adversarial loss: 0.683909, acc: 0.562500] 24821: [discriminator loss: 0.586473, acc: 0.703125] [adversarial loss: 1.549441, acc: 0.156250] 24822: [discriminator loss: 0.498628, acc: 0.734375] [adversarial loss: 0.945824, acc: 0.406250] 24823: [discriminator loss: 0.571929, acc: 0.695312] [adversarial loss: 1.380075, acc: 0.187500] 24824: [discriminator loss: 0.617172, acc: 0.648438] [adversarial loss: 0.998347, acc: 0.359375] 24825: [discriminator loss: 0.510702, acc: 0.742188] [adversarial loss: 1.443480, acc: 0.218750] 24826: [discriminator loss: 0.557274, acc: 0.656250] [adversarial loss: 1.032568, acc: 0.328125] 24827: [discriminator loss: 0.564132, acc: 0.695312] [adversarial loss: 1.573258, acc: 0.109375] 24828: [discriminator loss: 0.528766, acc: 0.703125] [adversarial loss: 1.125739, acc: 0.265625] 24829: [discriminator loss: 0.610842, acc: 0.687500] [adversarial loss: 1.389187, acc: 0.140625] 24830: [discriminator loss: 0.555310, acc: 0.679688] [adversarial loss: 1.024216, acc: 0.328125] 24831: [discriminator loss: 0.517272, acc: 0.726562] [adversarial loss: 1.469100, acc: 0.125000] 24832: [discriminator loss: 0.578577, acc: 0.718750] [adversarial loss: 1.254609, acc: 0.265625] 24833: [discriminator loss: 0.538085, acc: 0.734375] [adversarial loss: 1.469181, acc: 0.109375] 24834: [discriminator loss: 0.500103, acc: 0.726562] [adversarial loss: 1.295135, acc: 0.250000] 24835: [discriminator loss: 0.487913, acc: 0.757812] [adversarial loss: 1.167827, acc: 0.234375] 24836: [discriminator loss: 0.523332, acc: 0.750000] [adversarial loss: 1.045381, acc: 0.406250] 24837: [discriminator loss: 0.513838, acc: 0.742188] [adversarial loss: 1.460733, acc: 0.171875] 24838: [discriminator loss: 0.520382, acc: 0.773438] [adversarial loss: 1.020166, acc: 0.343750] 24839: [discriminator loss: 0.505375, acc: 0.757812] [adversarial loss: 1.342289, acc: 0.140625] 24840: [discriminator loss: 0.500115, acc: 0.750000] [adversarial loss: 1.081924, acc: 0.265625] 24841: [discriminator loss: 0.548064, acc: 0.742188] [adversarial loss: 1.428155, acc: 0.203125] 24842: [discriminator loss: 0.547162, acc: 0.757812] [adversarial loss: 1.078199, acc: 0.359375] 24843: [discriminator loss: 0.575741, acc: 0.734375] [adversarial loss: 1.293418, acc: 0.234375] 24844: [discriminator loss: 0.465295, acc: 0.796875] [adversarial loss: 1.190960, acc: 0.343750] 24845: [discriminator loss: 0.538211, acc: 0.703125] [adversarial loss: 1.282526, acc: 0.234375] 24846: [discriminator loss: 0.464439, acc: 0.804688] [adversarial loss: 1.159066, acc: 0.265625] 24847: [discriminator loss: 0.516540, acc: 0.726562] [adversarial loss: 1.179587, acc: 0.203125] 24848: [discriminator loss: 0.574957, acc: 0.750000] [adversarial loss: 1.287585, acc: 0.265625] 24849: [discriminator loss: 0.492948, acc: 0.773438] [adversarial loss: 0.972722, acc: 0.375000] 24850: [discriminator loss: 0.517180, acc: 0.718750] [adversarial loss: 1.626378, acc: 0.093750] 24851: [discriminator loss: 0.532297, acc: 0.703125] [adversarial loss: 1.048792, acc: 0.406250] 24852: [discriminator loss: 0.500763, acc: 0.710938] [adversarial loss: 1.302694, acc: 0.218750] 24853: [discriminator loss: 0.483135, acc: 0.734375] [adversarial loss: 0.745139, acc: 0.562500] 24854: [discriminator loss: 0.479713, acc: 0.812500] [adversarial loss: 1.712658, acc: 0.125000] 24855: [discriminator loss: 0.584461, acc: 0.632812] [adversarial loss: 0.855704, acc: 0.562500] 24856: [discriminator loss: 0.514766, acc: 0.726562] [adversarial loss: 1.373538, acc: 0.171875] 24857: [discriminator loss: 0.464287, acc: 0.757812] [adversarial loss: 0.609178, acc: 0.734375] 24858: [discriminator loss: 0.493391, acc: 0.718750] [adversarial loss: 1.538650, acc: 0.140625] 24859: [discriminator loss: 0.548360, acc: 0.710938] [adversarial loss: 0.698917, acc: 0.593750] 24860: [discriminator loss: 0.566218, acc: 0.664062] [adversarial loss: 1.261555, acc: 0.250000] 24861: [discriminator loss: 0.446882, acc: 0.828125] [adversarial loss: 1.023702, acc: 0.328125] 24862: [discriminator loss: 0.535516, acc: 0.734375] [adversarial loss: 1.398220, acc: 0.203125] 24863: [discriminator loss: 0.542496, acc: 0.734375] [adversarial loss: 1.421618, acc: 0.140625] 24864: [discriminator loss: 0.547969, acc: 0.726562] [adversarial loss: 0.910039, acc: 0.484375] 24865: [discriminator loss: 0.505975, acc: 0.734375] [adversarial loss: 1.489399, acc: 0.171875] 24866: [discriminator loss: 0.610066, acc: 0.640625] [adversarial loss: 0.725189, acc: 0.578125] 24867: [discriminator loss: 0.613860, acc: 0.656250] [adversarial loss: 1.695039, acc: 0.125000] 24868: [discriminator loss: 0.656717, acc: 0.632812] [adversarial loss: 0.959397, acc: 0.437500] 24869: [discriminator loss: 0.591511, acc: 0.703125] [adversarial loss: 1.304655, acc: 0.218750] 24870: [discriminator loss: 0.493904, acc: 0.695312] [adversarial loss: 1.103733, acc: 0.375000] 24871: [discriminator loss: 0.551662, acc: 0.710938] [adversarial loss: 1.324867, acc: 0.218750] 24872: [discriminator loss: 0.502659, acc: 0.750000] [adversarial loss: 0.998839, acc: 0.281250] 24873: [discriminator loss: 0.538650, acc: 0.726562] [adversarial loss: 1.421131, acc: 0.234375] 24874: [discriminator loss: 0.497890, acc: 0.734375] [adversarial loss: 1.022772, acc: 0.312500] 24875: [discriminator loss: 0.500292, acc: 0.781250] [adversarial loss: 1.168664, acc: 0.265625] 24876: [discriminator loss: 0.484161, acc: 0.773438] [adversarial loss: 1.134544, acc: 0.390625] 24877: [discriminator loss: 0.515864, acc: 0.734375] [adversarial loss: 1.050005, acc: 0.375000] 24878: [discriminator loss: 0.476061, acc: 0.773438] [adversarial loss: 1.471718, acc: 0.218750] 24879: [discriminator loss: 0.542291, acc: 0.695312] [adversarial loss: 0.928646, acc: 0.515625] 24880: [discriminator loss: 0.490544, acc: 0.718750] [adversarial loss: 1.771437, acc: 0.046875] 24881: [discriminator loss: 0.597088, acc: 0.695312] [adversarial loss: 1.103119, acc: 0.390625] 24882: [discriminator loss: 0.478793, acc: 0.726562] [adversarial loss: 1.431789, acc: 0.140625] 24883: [discriminator loss: 0.555707, acc: 0.710938] [adversarial loss: 0.876629, acc: 0.515625] 24884: [discriminator loss: 0.538957, acc: 0.750000] [adversarial loss: 1.270214, acc: 0.281250] 24885: [discriminator loss: 0.549411, acc: 0.695312] [adversarial loss: 1.038822, acc: 0.343750] 24886: [discriminator loss: 0.553522, acc: 0.718750] [adversarial loss: 1.298232, acc: 0.203125] 24887: [discriminator loss: 0.575683, acc: 0.703125] [adversarial loss: 1.376654, acc: 0.234375] 24888: [discriminator loss: 0.496836, acc: 0.765625] [adversarial loss: 1.166114, acc: 0.312500] 24889: [discriminator loss: 0.502344, acc: 0.750000] [adversarial loss: 1.249788, acc: 0.328125] 24890: [discriminator loss: 0.544352, acc: 0.687500] [adversarial loss: 0.929482, acc: 0.453125] 24891: [discriminator loss: 0.560544, acc: 0.656250] [adversarial loss: 1.476270, acc: 0.218750] 24892: [discriminator loss: 0.596486, acc: 0.648438] [adversarial loss: 1.090836, acc: 0.328125] 24893: [discriminator loss: 0.554688, acc: 0.679688] [adversarial loss: 1.094801, acc: 0.281250] 24894: [discriminator loss: 0.482098, acc: 0.789062] [adversarial loss: 1.194726, acc: 0.218750] 24895: [discriminator loss: 0.519828, acc: 0.773438] [adversarial loss: 1.160148, acc: 0.328125] 24896: [discriminator loss: 0.481900, acc: 0.765625] [adversarial loss: 1.188002, acc: 0.203125] 24897: [discriminator loss: 0.560717, acc: 0.695312] [adversarial loss: 1.144623, acc: 0.312500] 24898: [discriminator loss: 0.543388, acc: 0.726562] [adversarial loss: 1.150441, acc: 0.312500] 24899: [discriminator loss: 0.527631, acc: 0.750000] [adversarial loss: 1.350969, acc: 0.156250] 24900: [discriminator loss: 0.576555, acc: 0.710938] [adversarial loss: 0.878743, acc: 0.500000] 24901: [discriminator loss: 0.610107, acc: 0.679688] [adversarial loss: 1.805347, acc: 0.046875] 24902: [discriminator loss: 0.639569, acc: 0.632812] [adversarial loss: 0.650155, acc: 0.625000] 24903: [discriminator loss: 0.581781, acc: 0.695312] [adversarial loss: 1.779484, acc: 0.078125] 24904: [discriminator loss: 0.592093, acc: 0.695312] [adversarial loss: 0.929333, acc: 0.375000] 24905: [discriminator loss: 0.557061, acc: 0.679688] [adversarial loss: 1.575498, acc: 0.125000] 24906: [discriminator loss: 0.529516, acc: 0.695312] [adversarial loss: 1.012364, acc: 0.296875] 24907: [discriminator loss: 0.483153, acc: 0.750000] [adversarial loss: 1.507149, acc: 0.203125] 24908: [discriminator loss: 0.555427, acc: 0.710938] [adversarial loss: 1.013186, acc: 0.421875] 24909: [discriminator loss: 0.646199, acc: 0.609375] [adversarial loss: 1.776650, acc: 0.062500] 24910: [discriminator loss: 0.554987, acc: 0.679688] [adversarial loss: 0.946636, acc: 0.421875] 24911: [discriminator loss: 0.565828, acc: 0.695312] [adversarial loss: 1.570791, acc: 0.062500] 24912: [discriminator loss: 0.528472, acc: 0.726562] [adversarial loss: 0.974827, acc: 0.328125] 24913: [discriminator loss: 0.482900, acc: 0.789062] [adversarial loss: 1.049690, acc: 0.265625] 24914: [discriminator loss: 0.495543, acc: 0.765625] [adversarial loss: 1.241617, acc: 0.203125] 24915: [discriminator loss: 0.529219, acc: 0.765625] [adversarial loss: 1.110435, acc: 0.250000] 24916: [discriminator loss: 0.559789, acc: 0.718750] [adversarial loss: 1.294242, acc: 0.203125] 24917: [discriminator loss: 0.552778, acc: 0.718750] [adversarial loss: 1.002172, acc: 0.312500] 24918: [discriminator loss: 0.517131, acc: 0.726562] [adversarial loss: 1.096202, acc: 0.281250] 24919: [discriminator loss: 0.500324, acc: 0.773438] [adversarial loss: 1.250474, acc: 0.203125] 24920: [discriminator loss: 0.564566, acc: 0.664062] [adversarial loss: 1.403465, acc: 0.140625] 24921: [discriminator loss: 0.505733, acc: 0.765625] [adversarial loss: 1.009961, acc: 0.406250] 24922: [discriminator loss: 0.573471, acc: 0.648438] [adversarial loss: 1.503149, acc: 0.218750] 24923: [discriminator loss: 0.656797, acc: 0.656250] [adversarial loss: 0.814866, acc: 0.500000] 24924: [discriminator loss: 0.619367, acc: 0.679688] [adversarial loss: 1.774994, acc: 0.109375] 24925: [discriminator loss: 0.613669, acc: 0.648438] [adversarial loss: 0.866685, acc: 0.421875] 24926: [discriminator loss: 0.523262, acc: 0.750000] [adversarial loss: 1.269637, acc: 0.281250] 24927: [discriminator loss: 0.524946, acc: 0.765625] [adversarial loss: 0.969493, acc: 0.375000] 24928: [discriminator loss: 0.599912, acc: 0.703125] [adversarial loss: 1.264709, acc: 0.218750] 24929: [discriminator loss: 0.580201, acc: 0.687500] [adversarial loss: 0.975773, acc: 0.375000] 24930: [discriminator loss: 0.517030, acc: 0.773438] [adversarial loss: 1.195200, acc: 0.250000] 24931: [discriminator loss: 0.515916, acc: 0.734375] [adversarial loss: 1.229071, acc: 0.218750] 24932: [discriminator loss: 0.545678, acc: 0.726562] [adversarial loss: 1.157089, acc: 0.203125] 24933: [discriminator loss: 0.488394, acc: 0.734375] [adversarial loss: 1.210863, acc: 0.250000] 24934: [discriminator loss: 0.490190, acc: 0.750000] [adversarial loss: 1.238644, acc: 0.250000] 24935: [discriminator loss: 0.539469, acc: 0.656250] [adversarial loss: 0.953010, acc: 0.375000] 24936: [discriminator loss: 0.510742, acc: 0.718750] [adversarial loss: 1.335833, acc: 0.218750] 24937: [discriminator loss: 0.556021, acc: 0.710938] [adversarial loss: 0.693277, acc: 0.656250] 24938: [discriminator loss: 0.622637, acc: 0.625000] [adversarial loss: 1.687608, acc: 0.031250] 24939: [discriminator loss: 0.555625, acc: 0.664062] [adversarial loss: 0.981199, acc: 0.359375] 24940: [discriminator loss: 0.580506, acc: 0.671875] [adversarial loss: 1.454361, acc: 0.140625] 24941: [discriminator loss: 0.506217, acc: 0.742188] [adversarial loss: 0.806800, acc: 0.531250] 24942: [discriminator loss: 0.558338, acc: 0.734375] [adversarial loss: 1.309633, acc: 0.187500] 24943: [discriminator loss: 0.514643, acc: 0.687500] [adversarial loss: 1.212485, acc: 0.281250] 24944: [discriminator loss: 0.520730, acc: 0.773438] [adversarial loss: 1.164283, acc: 0.156250] 24945: [discriminator loss: 0.598050, acc: 0.679688] [adversarial loss: 1.079429, acc: 0.343750] 24946: [discriminator loss: 0.502834, acc: 0.750000] [adversarial loss: 1.351898, acc: 0.203125] 24947: [discriminator loss: 0.516983, acc: 0.773438] [adversarial loss: 0.933527, acc: 0.375000] 24948: [discriminator loss: 0.540021, acc: 0.664062] [adversarial loss: 1.588497, acc: 0.125000] 24949: [discriminator loss: 0.541519, acc: 0.726562] [adversarial loss: 0.919014, acc: 0.453125] 24950: [discriminator loss: 0.531215, acc: 0.742188] [adversarial loss: 1.633375, acc: 0.109375] 24951: [discriminator loss: 0.559330, acc: 0.695312] [adversarial loss: 1.008676, acc: 0.359375] 24952: [discriminator loss: 0.511279, acc: 0.703125] [adversarial loss: 1.513906, acc: 0.125000] 24953: [discriminator loss: 0.559981, acc: 0.640625] [adversarial loss: 1.029519, acc: 0.421875] 24954: [discriminator loss: 0.544707, acc: 0.742188] [adversarial loss: 1.252779, acc: 0.296875] 24955: [discriminator loss: 0.506859, acc: 0.765625] [adversarial loss: 1.086387, acc: 0.265625] 24956: [discriminator loss: 0.464044, acc: 0.765625] [adversarial loss: 1.441826, acc: 0.203125] 24957: [discriminator loss: 0.496978, acc: 0.734375] [adversarial loss: 1.610112, acc: 0.171875] 24958: [discriminator loss: 0.591416, acc: 0.656250] [adversarial loss: 0.940294, acc: 0.421875] 24959: [discriminator loss: 0.584648, acc: 0.703125] [adversarial loss: 1.804055, acc: 0.093750] 24960: [discriminator loss: 0.539859, acc: 0.710938] [adversarial loss: 0.924565, acc: 0.359375] 24961: [discriminator loss: 0.610884, acc: 0.687500] [adversarial loss: 1.437625, acc: 0.171875] 24962: [discriminator loss: 0.557018, acc: 0.718750] [adversarial loss: 0.918780, acc: 0.390625] 24963: [discriminator loss: 0.505505, acc: 0.718750] [adversarial loss: 1.212405, acc: 0.250000] 24964: [discriminator loss: 0.553745, acc: 0.671875] [adversarial loss: 0.991948, acc: 0.390625] 24965: [discriminator loss: 0.524446, acc: 0.742188] [adversarial loss: 1.167712, acc: 0.203125] 24966: [discriminator loss: 0.517592, acc: 0.742188] [adversarial loss: 1.396660, acc: 0.109375] 24967: [discriminator loss: 0.529759, acc: 0.710938] [adversarial loss: 0.925535, acc: 0.453125] 24968: [discriminator loss: 0.587426, acc: 0.679688] [adversarial loss: 1.631042, acc: 0.078125] 24969: [discriminator loss: 0.563676, acc: 0.718750] [adversarial loss: 0.954411, acc: 0.406250] 24970: [discriminator loss: 0.550410, acc: 0.750000] [adversarial loss: 1.272065, acc: 0.281250] 24971: [discriminator loss: 0.520303, acc: 0.695312] [adversarial loss: 1.095988, acc: 0.328125] 24972: [discriminator loss: 0.459960, acc: 0.773438] [adversarial loss: 1.375110, acc: 0.171875] 24973: [discriminator loss: 0.445265, acc: 0.781250] [adversarial loss: 1.006210, acc: 0.312500] 24974: [discriminator loss: 0.531602, acc: 0.742188] [adversarial loss: 1.732662, acc: 0.062500] 24975: [discriminator loss: 0.425531, acc: 0.789062] [adversarial loss: 1.090336, acc: 0.312500] 24976: [discriminator loss: 0.616051, acc: 0.632812] [adversarial loss: 1.275137, acc: 0.234375] 24977: [discriminator loss: 0.584781, acc: 0.687500] [adversarial loss: 1.066963, acc: 0.328125] 24978: [discriminator loss: 0.486225, acc: 0.773438] [adversarial loss: 1.152522, acc: 0.218750] 24979: [discriminator loss: 0.544734, acc: 0.687500] [adversarial loss: 1.034074, acc: 0.250000] 24980: [discriminator loss: 0.509335, acc: 0.726562] [adversarial loss: 1.328730, acc: 0.171875] 24981: [discriminator loss: 0.548653, acc: 0.695312] [adversarial loss: 0.874011, acc: 0.437500] 24982: [discriminator loss: 0.511278, acc: 0.742188] [adversarial loss: 1.541606, acc: 0.140625] 24983: [discriminator loss: 0.590382, acc: 0.664062] [adversarial loss: 0.866061, acc: 0.421875] 24984: [discriminator loss: 0.545115, acc: 0.710938] [adversarial loss: 1.495830, acc: 0.156250] 24985: [discriminator loss: 0.473073, acc: 0.765625] [adversarial loss: 0.973913, acc: 0.359375] 24986: [discriminator loss: 0.456015, acc: 0.828125] [adversarial loss: 1.135947, acc: 0.437500] 24987: [discriminator loss: 0.536257, acc: 0.718750] [adversarial loss: 1.122057, acc: 0.343750] 24988: [discriminator loss: 0.548463, acc: 0.703125] [adversarial loss: 1.120455, acc: 0.296875] 24989: [discriminator loss: 0.569724, acc: 0.671875] [adversarial loss: 1.473200, acc: 0.187500] 24990: [discriminator loss: 0.516536, acc: 0.742188] [adversarial loss: 1.115259, acc: 0.312500] 24991: [discriminator loss: 0.515120, acc: 0.750000] [adversarial loss: 1.396727, acc: 0.125000] 24992: [discriminator loss: 0.478776, acc: 0.726562] [adversarial loss: 1.063536, acc: 0.343750] 24993: [discriminator loss: 0.524154, acc: 0.734375] [adversarial loss: 1.291071, acc: 0.312500] 24994: [discriminator loss: 0.550931, acc: 0.687500] [adversarial loss: 0.992920, acc: 0.343750] 24995: [discriminator loss: 0.604843, acc: 0.632812] [adversarial loss: 1.500656, acc: 0.093750] 24996: [discriminator loss: 0.532162, acc: 0.765625] [adversarial loss: 0.981570, acc: 0.343750] 24997: [discriminator loss: 0.539396, acc: 0.718750] [adversarial loss: 1.587647, acc: 0.125000] 24998: [discriminator loss: 0.522599, acc: 0.718750] [adversarial loss: 0.972890, acc: 0.406250] 24999: [discriminator loss: 0.594955, acc: 0.710938] [adversarial loss: 1.311214, acc: 0.109375] 25000: [discriminator loss: 0.549191, acc: 0.695312] [adversarial loss: 1.018668, acc: 0.390625] 25001: [discriminator loss: 0.556277, acc: 0.703125] [adversarial loss: 1.229984, acc: 0.234375] 25002: [discriminator loss: 0.490120, acc: 0.789062] [adversarial loss: 1.442449, acc: 0.093750] 25003: [discriminator loss: 0.552501, acc: 0.703125] [adversarial loss: 0.925649, acc: 0.453125] 25004: [discriminator loss: 0.544115, acc: 0.710938] [adversarial loss: 1.340376, acc: 0.234375] 25005: [discriminator loss: 0.552992, acc: 0.679688] [adversarial loss: 1.258918, acc: 0.218750] 25006: [discriminator loss: 0.504450, acc: 0.726562] [adversarial loss: 1.196380, acc: 0.187500] 25007: [discriminator loss: 0.588816, acc: 0.632812] [adversarial loss: 1.132061, acc: 0.328125] 25008: [discriminator loss: 0.572720, acc: 0.734375] [adversarial loss: 1.517162, acc: 0.078125] 25009: [discriminator loss: 0.560990, acc: 0.679688] [adversarial loss: 0.876526, acc: 0.406250] 25010: [discriminator loss: 0.488346, acc: 0.742188] [adversarial loss: 1.554960, acc: 0.187500] 25011: [discriminator loss: 0.516890, acc: 0.718750] [adversarial loss: 1.020432, acc: 0.375000] 25012: [discriminator loss: 0.634143, acc: 0.609375] [adversarial loss: 1.892552, acc: 0.046875] 25013: [discriminator loss: 0.522549, acc: 0.687500] [adversarial loss: 1.147340, acc: 0.328125] 25014: [discriminator loss: 0.536151, acc: 0.718750] [adversarial loss: 1.324448, acc: 0.250000] 25015: [discriminator loss: 0.577155, acc: 0.679688] [adversarial loss: 1.037450, acc: 0.343750] 25016: [discriminator loss: 0.527252, acc: 0.703125] [adversarial loss: 1.426871, acc: 0.171875] 25017: [discriminator loss: 0.515812, acc: 0.757812] [adversarial loss: 0.843820, acc: 0.484375] 25018: [discriminator loss: 0.612161, acc: 0.671875] [adversarial loss: 1.711114, acc: 0.109375] 25019: [discriminator loss: 0.612549, acc: 0.671875] [adversarial loss: 1.025075, acc: 0.390625] 25020: [discriminator loss: 0.593406, acc: 0.648438] [adversarial loss: 1.706178, acc: 0.093750] 25021: [discriminator loss: 0.499421, acc: 0.765625] [adversarial loss: 1.228925, acc: 0.359375] 25022: [discriminator loss: 0.507825, acc: 0.773438] [adversarial loss: 1.278239, acc: 0.234375] 25023: [discriminator loss: 0.525709, acc: 0.718750] [adversarial loss: 1.226516, acc: 0.250000] 25024: [discriminator loss: 0.497313, acc: 0.804688] [adversarial loss: 1.040480, acc: 0.359375] 25025: [discriminator loss: 0.575864, acc: 0.703125] [adversarial loss: 1.692202, acc: 0.109375] 25026: [discriminator loss: 0.565357, acc: 0.687500] [adversarial loss: 0.950396, acc: 0.453125] 25027: [discriminator loss: 0.497105, acc: 0.734375] [adversarial loss: 1.402556, acc: 0.109375] 25028: [discriminator loss: 0.515061, acc: 0.765625] [adversarial loss: 1.456880, acc: 0.109375] 25029: [discriminator loss: 0.530277, acc: 0.757812] [adversarial loss: 0.857191, acc: 0.406250] 25030: [discriminator loss: 0.463760, acc: 0.781250] [adversarial loss: 1.691943, acc: 0.093750] 25031: [discriminator loss: 0.552041, acc: 0.679688] [adversarial loss: 1.061076, acc: 0.312500] 25032: [discriminator loss: 0.595478, acc: 0.703125] [adversarial loss: 1.772702, acc: 0.078125] 25033: [discriminator loss: 0.614944, acc: 0.664062] [adversarial loss: 0.909981, acc: 0.437500] 25034: [discriminator loss: 0.717582, acc: 0.625000] [adversarial loss: 1.555377, acc: 0.093750] 25035: [discriminator loss: 0.630855, acc: 0.664062] [adversarial loss: 0.793649, acc: 0.484375] 25036: [discriminator loss: 0.499027, acc: 0.773438] [adversarial loss: 1.377336, acc: 0.187500] 25037: [discriminator loss: 0.507569, acc: 0.773438] [adversarial loss: 1.086205, acc: 0.281250] 25038: [discriminator loss: 0.551484, acc: 0.687500] [adversarial loss: 1.419256, acc: 0.218750] 25039: [discriminator loss: 0.518110, acc: 0.742188] [adversarial loss: 0.956986, acc: 0.390625] 25040: [discriminator loss: 0.507725, acc: 0.765625] [adversarial loss: 1.201496, acc: 0.265625] 25041: [discriminator loss: 0.527506, acc: 0.757812] [adversarial loss: 1.123125, acc: 0.265625] 25042: [discriminator loss: 0.510170, acc: 0.726562] [adversarial loss: 1.198818, acc: 0.375000] 25043: [discriminator loss: 0.507692, acc: 0.757812] [adversarial loss: 1.153543, acc: 0.281250] 25044: [discriminator loss: 0.568143, acc: 0.695312] [adversarial loss: 1.083829, acc: 0.328125] 25045: [discriminator loss: 0.568199, acc: 0.718750] [adversarial loss: 1.580416, acc: 0.140625] 25046: [discriminator loss: 0.536696, acc: 0.710938] [adversarial loss: 0.983194, acc: 0.375000] 25047: [discriminator loss: 0.547052, acc: 0.710938] [adversarial loss: 1.287590, acc: 0.187500] 25048: [discriminator loss: 0.536481, acc: 0.695312] [adversarial loss: 1.011988, acc: 0.390625] 25049: [discriminator loss: 0.514970, acc: 0.710938] [adversarial loss: 1.447267, acc: 0.187500] 25050: [discriminator loss: 0.566142, acc: 0.695312] [adversarial loss: 1.056964, acc: 0.328125] 25051: [discriminator loss: 0.562309, acc: 0.671875] [adversarial loss: 1.568999, acc: 0.109375] 25052: [discriminator loss: 0.622028, acc: 0.648438] [adversarial loss: 1.310340, acc: 0.171875] 25053: [discriminator loss: 0.480664, acc: 0.773438] [adversarial loss: 1.293058, acc: 0.250000] 25054: [discriminator loss: 0.542495, acc: 0.718750] [adversarial loss: 1.565222, acc: 0.125000] 25055: [discriminator loss: 0.528088, acc: 0.742188] [adversarial loss: 0.946743, acc: 0.468750] 25056: [discriminator loss: 0.494314, acc: 0.765625] [adversarial loss: 1.471448, acc: 0.140625] 25057: [discriminator loss: 0.594285, acc: 0.648438] [adversarial loss: 1.069407, acc: 0.421875] 25058: [discriminator loss: 0.557737, acc: 0.695312] [adversarial loss: 1.508183, acc: 0.187500] 25059: [discriminator loss: 0.591431, acc: 0.671875] [adversarial loss: 0.849967, acc: 0.453125] 25060: [discriminator loss: 0.609239, acc: 0.664062] [adversarial loss: 1.730755, acc: 0.062500] 25061: [discriminator loss: 0.558736, acc: 0.710938] [adversarial loss: 0.770392, acc: 0.515625] 25062: [discriminator loss: 0.603830, acc: 0.718750] [adversarial loss: 1.496306, acc: 0.093750] 25063: [discriminator loss: 0.588843, acc: 0.664062] [adversarial loss: 0.998027, acc: 0.343750] 25064: [discriminator loss: 0.612921, acc: 0.671875] [adversarial loss: 1.283788, acc: 0.234375] 25065: [discriminator loss: 0.519879, acc: 0.765625] [adversarial loss: 1.172197, acc: 0.296875] 25066: [discriminator loss: 0.486479, acc: 0.765625] [adversarial loss: 1.003665, acc: 0.328125] 25067: [discriminator loss: 0.544505, acc: 0.742188] [adversarial loss: 1.630293, acc: 0.109375] 25068: [discriminator loss: 0.587923, acc: 0.695312] [adversarial loss: 1.086367, acc: 0.343750] 25069: [discriminator loss: 0.574505, acc: 0.671875] [adversarial loss: 1.369708, acc: 0.109375] 25070: [discriminator loss: 0.490941, acc: 0.726562] [adversarial loss: 0.929144, acc: 0.375000] 25071: [discriminator loss: 0.608945, acc: 0.679688] [adversarial loss: 1.396430, acc: 0.203125] 25072: [discriminator loss: 0.550621, acc: 0.718750] [adversarial loss: 0.872725, acc: 0.531250] 25073: [discriminator loss: 0.630461, acc: 0.671875] [adversarial loss: 1.697611, acc: 0.093750] 25074: [discriminator loss: 0.537783, acc: 0.671875] [adversarial loss: 0.870577, acc: 0.468750] 25075: [discriminator loss: 0.525484, acc: 0.726562] [adversarial loss: 1.419644, acc: 0.234375] 25076: [discriminator loss: 0.528915, acc: 0.687500] [adversarial loss: 0.938289, acc: 0.437500] 25077: [discriminator loss: 0.559763, acc: 0.687500] [adversarial loss: 1.378221, acc: 0.156250] 25078: [discriminator loss: 0.558999, acc: 0.687500] [adversarial loss: 0.878375, acc: 0.437500] 25079: [discriminator loss: 0.531000, acc: 0.734375] [adversarial loss: 1.685017, acc: 0.062500] 25080: [discriminator loss: 0.582661, acc: 0.640625] [adversarial loss: 1.007534, acc: 0.484375] 25081: [discriminator loss: 0.490080, acc: 0.742188] [adversarial loss: 1.386680, acc: 0.171875] 25082: [discriminator loss: 0.512335, acc: 0.734375] [adversarial loss: 1.064156, acc: 0.312500] 25083: [discriminator loss: 0.489483, acc: 0.734375] [adversarial loss: 1.105332, acc: 0.312500] 25084: [discriminator loss: 0.566089, acc: 0.679688] [adversarial loss: 1.135743, acc: 0.328125] 25085: [discriminator loss: 0.520211, acc: 0.757812] [adversarial loss: 1.111796, acc: 0.328125] 25086: [discriminator loss: 0.516412, acc: 0.750000] [adversarial loss: 0.942469, acc: 0.453125] 25087: [discriminator loss: 0.522643, acc: 0.757812] [adversarial loss: 1.402639, acc: 0.140625] 25088: [discriminator loss: 0.536896, acc: 0.710938] [adversarial loss: 0.862298, acc: 0.562500] 25089: [discriminator loss: 0.585711, acc: 0.695312] [adversarial loss: 1.332728, acc: 0.218750] 25090: [discriminator loss: 0.487035, acc: 0.750000] [adversarial loss: 0.944091, acc: 0.500000] 25091: [discriminator loss: 0.499429, acc: 0.734375] [adversarial loss: 1.552833, acc: 0.093750] 25092: [discriminator loss: 0.449059, acc: 0.812500] [adversarial loss: 1.035708, acc: 0.265625] 25093: [discriminator loss: 0.539037, acc: 0.718750] [adversarial loss: 1.163399, acc: 0.281250] 25094: [discriminator loss: 0.563713, acc: 0.664062] [adversarial loss: 1.307946, acc: 0.218750] 25095: [discriminator loss: 0.487076, acc: 0.757812] [adversarial loss: 0.939724, acc: 0.421875] 25096: [discriminator loss: 0.506283, acc: 0.789062] [adversarial loss: 1.090034, acc: 0.328125] 25097: [discriminator loss: 0.466350, acc: 0.742188] [adversarial loss: 1.205796, acc: 0.328125] 25098: [discriminator loss: 0.572176, acc: 0.664062] [adversarial loss: 1.443946, acc: 0.187500] 25099: [discriminator loss: 0.592669, acc: 0.648438] [adversarial loss: 1.180905, acc: 0.312500] 25100: [discriminator loss: 0.498427, acc: 0.742188] [adversarial loss: 1.674418, acc: 0.078125] 25101: [discriminator loss: 0.557528, acc: 0.679688] [adversarial loss: 0.967113, acc: 0.375000] 25102: [discriminator loss: 0.658586, acc: 0.625000] [adversarial loss: 1.844541, acc: 0.078125] 25103: [discriminator loss: 0.541816, acc: 0.718750] [adversarial loss: 0.948171, acc: 0.421875] 25104: [discriminator loss: 0.570379, acc: 0.718750] [adversarial loss: 1.651057, acc: 0.109375] 25105: [discriminator loss: 0.470945, acc: 0.742188] [adversarial loss: 0.979927, acc: 0.343750] 25106: [discriminator loss: 0.488957, acc: 0.742188] [adversarial loss: 1.233957, acc: 0.250000] 25107: [discriminator loss: 0.552431, acc: 0.687500] [adversarial loss: 1.014550, acc: 0.359375] 25108: [discriminator loss: 0.541005, acc: 0.773438] [adversarial loss: 1.276290, acc: 0.234375] 25109: [discriminator loss: 0.578826, acc: 0.664062] [adversarial loss: 1.143353, acc: 0.265625] 25110: [discriminator loss: 0.530300, acc: 0.757812] [adversarial loss: 1.698305, acc: 0.109375] 25111: [discriminator loss: 0.565133, acc: 0.710938] [adversarial loss: 0.939771, acc: 0.421875] 25112: [discriminator loss: 0.571870, acc: 0.687500] [adversarial loss: 1.480738, acc: 0.187500] 25113: [discriminator loss: 0.472109, acc: 0.773438] [adversarial loss: 1.125477, acc: 0.343750] 25114: [discriminator loss: 0.525900, acc: 0.734375] [adversarial loss: 1.151850, acc: 0.359375] 25115: [discriminator loss: 0.578033, acc: 0.718750] [adversarial loss: 1.390856, acc: 0.171875] 25116: [discriminator loss: 0.529614, acc: 0.726562] [adversarial loss: 1.128815, acc: 0.312500] 25117: [discriminator loss: 0.502203, acc: 0.773438] [adversarial loss: 1.406263, acc: 0.218750] 25118: [discriminator loss: 0.522494, acc: 0.718750] [adversarial loss: 1.254474, acc: 0.281250] 25119: [discriminator loss: 0.509780, acc: 0.718750] [adversarial loss: 1.230004, acc: 0.281250] 25120: [discriminator loss: 0.563909, acc: 0.710938] [adversarial loss: 1.214187, acc: 0.265625] 25121: [discriminator loss: 0.556330, acc: 0.671875] [adversarial loss: 1.356677, acc: 0.187500] 25122: [discriminator loss: 0.551346, acc: 0.742188] [adversarial loss: 0.873246, acc: 0.515625] 25123: [discriminator loss: 0.544491, acc: 0.718750] [adversarial loss: 1.602222, acc: 0.156250] 25124: [discriminator loss: 0.515139, acc: 0.789062] [adversarial loss: 1.049749, acc: 0.375000] 25125: [discriminator loss: 0.558398, acc: 0.734375] [adversarial loss: 1.453528, acc: 0.187500] 25126: [discriminator loss: 0.455817, acc: 0.765625] [adversarial loss: 0.838431, acc: 0.515625] 25127: [discriminator loss: 0.525869, acc: 0.703125] [adversarial loss: 1.591647, acc: 0.234375] 25128: [discriminator loss: 0.530597, acc: 0.718750] [adversarial loss: 1.024816, acc: 0.375000] 25129: [discriminator loss: 0.460047, acc: 0.796875] [adversarial loss: 1.349016, acc: 0.156250] 25130: [discriminator loss: 0.513211, acc: 0.703125] [adversarial loss: 0.972045, acc: 0.468750] 25131: [discriminator loss: 0.542850, acc: 0.734375] [adversarial loss: 1.154555, acc: 0.265625] 25132: [discriminator loss: 0.559524, acc: 0.703125] [adversarial loss: 1.664048, acc: 0.078125] 25133: [discriminator loss: 0.634885, acc: 0.656250] [adversarial loss: 1.127747, acc: 0.328125] 25134: [discriminator loss: 0.558472, acc: 0.734375] [adversarial loss: 1.507905, acc: 0.171875] 25135: [discriminator loss: 0.599603, acc: 0.648438] [adversarial loss: 1.224589, acc: 0.328125] 25136: [discriminator loss: 0.517470, acc: 0.750000] [adversarial loss: 1.376131, acc: 0.203125] 25137: [discriminator loss: 0.518952, acc: 0.710938] [adversarial loss: 1.199974, acc: 0.265625] 25138: [discriminator loss: 0.594981, acc: 0.703125] [adversarial loss: 1.313979, acc: 0.281250] 25139: [discriminator loss: 0.637234, acc: 0.601562] [adversarial loss: 0.803363, acc: 0.500000] 25140: [discriminator loss: 0.470670, acc: 0.773438] [adversarial loss: 1.641290, acc: 0.093750] 25141: [discriminator loss: 0.538079, acc: 0.710938] [adversarial loss: 0.936083, acc: 0.421875] 25142: [discriminator loss: 0.500416, acc: 0.765625] [adversarial loss: 1.229789, acc: 0.250000] 25143: [discriminator loss: 0.430748, acc: 0.835938] [adversarial loss: 1.033585, acc: 0.359375] 25144: [discriminator loss: 0.568756, acc: 0.695312] [adversarial loss: 1.412803, acc: 0.125000] 25145: [discriminator loss: 0.568101, acc: 0.710938] [adversarial loss: 1.260455, acc: 0.234375] 25146: [discriminator loss: 0.504044, acc: 0.789062] [adversarial loss: 1.545419, acc: 0.140625] 25147: [discriminator loss: 0.519851, acc: 0.742188] [adversarial loss: 0.943328, acc: 0.390625] 25148: [discriminator loss: 0.466602, acc: 0.765625] [adversarial loss: 1.350167, acc: 0.125000] 25149: [discriminator loss: 0.515147, acc: 0.734375] [adversarial loss: 1.075503, acc: 0.281250] 25150: [discriminator loss: 0.575039, acc: 0.734375] [adversarial loss: 1.414146, acc: 0.218750] 25151: [discriminator loss: 0.532132, acc: 0.710938] [adversarial loss: 1.006643, acc: 0.375000] 25152: [discriminator loss: 0.546328, acc: 0.695312] [adversarial loss: 1.429250, acc: 0.140625] 25153: [discriminator loss: 0.591789, acc: 0.664062] [adversarial loss: 0.888466, acc: 0.468750] 25154: [discriminator loss: 0.501860, acc: 0.718750] [adversarial loss: 1.377467, acc: 0.156250] 25155: [discriminator loss: 0.499791, acc: 0.765625] [adversarial loss: 0.836563, acc: 0.500000] 25156: [discriminator loss: 0.551946, acc: 0.703125] [adversarial loss: 1.854183, acc: 0.078125] 25157: [discriminator loss: 0.563566, acc: 0.656250] [adversarial loss: 0.844656, acc: 0.515625] 25158: [discriminator loss: 0.609016, acc: 0.703125] [adversarial loss: 1.685411, acc: 0.093750] 25159: [discriminator loss: 0.598508, acc: 0.664062] [adversarial loss: 0.728392, acc: 0.609375] 25160: [discriminator loss: 0.585612, acc: 0.656250] [adversarial loss: 1.351296, acc: 0.265625] 25161: [discriminator loss: 0.466952, acc: 0.804688] [adversarial loss: 1.066598, acc: 0.328125] 25162: [discriminator loss: 0.551560, acc: 0.726562] [adversarial loss: 1.188309, acc: 0.296875] 25163: [discriminator loss: 0.544261, acc: 0.703125] [adversarial loss: 1.204443, acc: 0.203125] 25164: [discriminator loss: 0.528403, acc: 0.726562] [adversarial loss: 0.917338, acc: 0.359375] 25165: [discriminator loss: 0.462149, acc: 0.812500] [adversarial loss: 1.064097, acc: 0.328125] 25166: [discriminator loss: 0.461995, acc: 0.820312] [adversarial loss: 1.220038, acc: 0.281250] 25167: [discriminator loss: 0.543087, acc: 0.734375] [adversarial loss: 0.872617, acc: 0.484375] 25168: [discriminator loss: 0.540937, acc: 0.734375] [adversarial loss: 1.886699, acc: 0.031250] 25169: [discriminator loss: 0.577206, acc: 0.656250] [adversarial loss: 0.928120, acc: 0.484375] 25170: [discriminator loss: 0.637688, acc: 0.679688] [adversarial loss: 1.405332, acc: 0.109375] 25171: [discriminator loss: 0.535029, acc: 0.742188] [adversarial loss: 1.203253, acc: 0.265625] 25172: [discriminator loss: 0.476948, acc: 0.765625] [adversarial loss: 1.195676, acc: 0.250000] 25173: [discriminator loss: 0.550916, acc: 0.703125] [adversarial loss: 1.176822, acc: 0.265625] 25174: [discriminator loss: 0.551342, acc: 0.734375] [adversarial loss: 1.383462, acc: 0.125000] 25175: [discriminator loss: 0.533704, acc: 0.773438] [adversarial loss: 1.106076, acc: 0.328125] 25176: [discriminator loss: 0.466638, acc: 0.781250] [adversarial loss: 1.126795, acc: 0.234375] 25177: [discriminator loss: 0.502338, acc: 0.734375] [adversarial loss: 1.229744, acc: 0.171875] 25178: [discriminator loss: 0.539991, acc: 0.742188] [adversarial loss: 1.294092, acc: 0.203125] 25179: [discriminator loss: 0.528785, acc: 0.718750] [adversarial loss: 1.534261, acc: 0.109375] 25180: [discriminator loss: 0.586108, acc: 0.671875] [adversarial loss: 0.964485, acc: 0.437500] 25181: [discriminator loss: 0.458113, acc: 0.796875] [adversarial loss: 1.500167, acc: 0.156250] 25182: [discriminator loss: 0.599455, acc: 0.648438] [adversarial loss: 0.889417, acc: 0.515625] 25183: [discriminator loss: 0.610414, acc: 0.664062] [adversarial loss: 1.581699, acc: 0.140625] 25184: [discriminator loss: 0.651878, acc: 0.664062] [adversarial loss: 0.871319, acc: 0.468750] 25185: [discriminator loss: 0.565995, acc: 0.718750] [adversarial loss: 1.620692, acc: 0.171875] 25186: [discriminator loss: 0.558813, acc: 0.695312] [adversarial loss: 0.917652, acc: 0.328125] 25187: [discriminator loss: 0.548509, acc: 0.742188] [adversarial loss: 1.342169, acc: 0.203125] 25188: [discriminator loss: 0.512557, acc: 0.726562] [adversarial loss: 1.374160, acc: 0.171875] 25189: [discriminator loss: 0.554875, acc: 0.750000] [adversarial loss: 1.300210, acc: 0.203125] 25190: [discriminator loss: 0.567276, acc: 0.703125] [adversarial loss: 1.328705, acc: 0.218750] 25191: [discriminator loss: 0.547592, acc: 0.710938] [adversarial loss: 1.134558, acc: 0.281250] 25192: [discriminator loss: 0.611387, acc: 0.625000] [adversarial loss: 1.554120, acc: 0.078125] 25193: [discriminator loss: 0.520988, acc: 0.687500] [adversarial loss: 0.978848, acc: 0.421875] 25194: [discriminator loss: 0.558194, acc: 0.671875] [adversarial loss: 1.550062, acc: 0.140625] 25195: [discriminator loss: 0.562284, acc: 0.734375] [adversarial loss: 0.760048, acc: 0.609375] 25196: [discriminator loss: 0.525856, acc: 0.718750] [adversarial loss: 1.492301, acc: 0.125000] 25197: [discriminator loss: 0.573937, acc: 0.664062] [adversarial loss: 1.164112, acc: 0.281250] 25198: [discriminator loss: 0.482722, acc: 0.757812] [adversarial loss: 1.302380, acc: 0.218750] 25199: [discriminator loss: 0.598382, acc: 0.671875] [adversarial loss: 0.943841, acc: 0.375000] 25200: [discriminator loss: 0.539564, acc: 0.718750] [adversarial loss: 1.303568, acc: 0.234375] 25201: [discriminator loss: 0.513584, acc: 0.695312] [adversarial loss: 1.214808, acc: 0.265625] 25202: [discriminator loss: 0.571772, acc: 0.710938] [adversarial loss: 1.111775, acc: 0.328125] 25203: [discriminator loss: 0.529107, acc: 0.734375] [adversarial loss: 1.236427, acc: 0.203125] 25204: [discriminator loss: 0.493366, acc: 0.742188] [adversarial loss: 1.091156, acc: 0.281250] 25205: [discriminator loss: 0.493687, acc: 0.734375] [adversarial loss: 1.077542, acc: 0.390625] 25206: [discriminator loss: 0.545348, acc: 0.726562] [adversarial loss: 1.125216, acc: 0.218750] 25207: [discriminator loss: 0.565965, acc: 0.687500] [adversarial loss: 1.554933, acc: 0.093750] 25208: [discriminator loss: 0.623455, acc: 0.656250] [adversarial loss: 0.803584, acc: 0.500000] 25209: [discriminator loss: 0.567260, acc: 0.648438] [adversarial loss: 1.686534, acc: 0.140625] 25210: [discriminator loss: 0.593256, acc: 0.664062] [adversarial loss: 0.755610, acc: 0.593750] 25211: [discriminator loss: 0.574436, acc: 0.679688] [adversarial loss: 1.298456, acc: 0.281250] 25212: [discriminator loss: 0.551292, acc: 0.695312] [adversarial loss: 0.838054, acc: 0.421875] 25213: [discriminator loss: 0.560560, acc: 0.703125] [adversarial loss: 1.264790, acc: 0.140625] 25214: [discriminator loss: 0.576913, acc: 0.726562] [adversarial loss: 1.101584, acc: 0.296875] 25215: [discriminator loss: 0.510346, acc: 0.789062] [adversarial loss: 1.313740, acc: 0.203125] 25216: [discriminator loss: 0.534452, acc: 0.742188] [adversarial loss: 1.060244, acc: 0.265625] 25217: [discriminator loss: 0.503797, acc: 0.773438] [adversarial loss: 1.446150, acc: 0.109375] 25218: [discriminator loss: 0.530031, acc: 0.742188] [adversarial loss: 0.980412, acc: 0.390625] 25219: [discriminator loss: 0.519855, acc: 0.742188] [adversarial loss: 1.130130, acc: 0.343750] 25220: [discriminator loss: 0.477510, acc: 0.765625] [adversarial loss: 1.043892, acc: 0.296875] 25221: [discriminator loss: 0.521232, acc: 0.742188] [adversarial loss: 1.241207, acc: 0.281250] 25222: [discriminator loss: 0.486160, acc: 0.742188] [adversarial loss: 1.177881, acc: 0.250000] 25223: [discriminator loss: 0.531715, acc: 0.710938] [adversarial loss: 1.164744, acc: 0.281250] 25224: [discriminator loss: 0.525946, acc: 0.773438] [adversarial loss: 1.105129, acc: 0.250000] 25225: [discriminator loss: 0.490616, acc: 0.765625] [adversarial loss: 1.314131, acc: 0.109375] 25226: [discriminator loss: 0.511183, acc: 0.718750] [adversarial loss: 1.071370, acc: 0.421875] 25227: [discriminator loss: 0.497742, acc: 0.710938] [adversarial loss: 1.323220, acc: 0.218750] 25228: [discriminator loss: 0.512554, acc: 0.742188] [adversarial loss: 0.899055, acc: 0.437500] 25229: [discriminator loss: 0.555223, acc: 0.703125] [adversarial loss: 1.453104, acc: 0.140625] 25230: [discriminator loss: 0.559822, acc: 0.718750] [adversarial loss: 1.010394, acc: 0.359375] 25231: [discriminator loss: 0.586237, acc: 0.703125] [adversarial loss: 1.715497, acc: 0.109375] 25232: [discriminator loss: 0.583009, acc: 0.679688] [adversarial loss: 0.709142, acc: 0.546875] 25233: [discriminator loss: 0.603571, acc: 0.632812] [adversarial loss: 1.446478, acc: 0.125000] 25234: [discriminator loss: 0.492932, acc: 0.757812] [adversarial loss: 1.069305, acc: 0.343750] 25235: [discriminator loss: 0.486343, acc: 0.773438] [adversarial loss: 1.381042, acc: 0.203125] 25236: [discriminator loss: 0.549522, acc: 0.718750] [adversarial loss: 1.310521, acc: 0.250000] 25237: [discriminator loss: 0.495734, acc: 0.757812] [adversarial loss: 1.251382, acc: 0.296875] 25238: [discriminator loss: 0.594531, acc: 0.664062] [adversarial loss: 1.461636, acc: 0.171875] 25239: [discriminator loss: 0.525708, acc: 0.734375] [adversarial loss: 0.800301, acc: 0.531250] 25240: [discriminator loss: 0.578128, acc: 0.726562] [adversarial loss: 1.457340, acc: 0.125000] 25241: [discriminator loss: 0.501981, acc: 0.710938] [adversarial loss: 0.747606, acc: 0.578125] 25242: [discriminator loss: 0.705739, acc: 0.617188] [adversarial loss: 1.656643, acc: 0.062500] 25243: [discriminator loss: 0.563011, acc: 0.734375] [adversarial loss: 0.720245, acc: 0.531250] 25244: [discriminator loss: 0.568910, acc: 0.750000] [adversarial loss: 1.277730, acc: 0.218750] 25245: [discriminator loss: 0.472871, acc: 0.742188] [adversarial loss: 1.084177, acc: 0.375000] 25246: [discriminator loss: 0.581845, acc: 0.710938] [adversarial loss: 1.032357, acc: 0.312500] 25247: [discriminator loss: 0.480660, acc: 0.789062] [adversarial loss: 1.126929, acc: 0.328125] 25248: [discriminator loss: 0.512527, acc: 0.734375] [adversarial loss: 1.281672, acc: 0.203125] 25249: [discriminator loss: 0.455665, acc: 0.812500] [adversarial loss: 0.882903, acc: 0.375000] 25250: [discriminator loss: 0.558739, acc: 0.718750] [adversarial loss: 1.555440, acc: 0.109375] 25251: [discriminator loss: 0.553332, acc: 0.664062] [adversarial loss: 0.798631, acc: 0.484375] 25252: [discriminator loss: 0.548708, acc: 0.710938] [adversarial loss: 1.541501, acc: 0.078125] 25253: [discriminator loss: 0.476303, acc: 0.796875] [adversarial loss: 1.045354, acc: 0.359375] 25254: [discriminator loss: 0.572609, acc: 0.695312] [adversarial loss: 1.227061, acc: 0.265625] 25255: [discriminator loss: 0.534655, acc: 0.757812] [adversarial loss: 1.019057, acc: 0.359375] 25256: [discriminator loss: 0.531042, acc: 0.687500] [adversarial loss: 1.496062, acc: 0.109375] 25257: [discriminator loss: 0.495537, acc: 0.789062] [adversarial loss: 1.138734, acc: 0.281250] 25258: [discriminator loss: 0.485204, acc: 0.765625] [adversarial loss: 1.038252, acc: 0.421875] 25259: [discriminator loss: 0.512946, acc: 0.742188] [adversarial loss: 1.146738, acc: 0.281250] 25260: [discriminator loss: 0.487480, acc: 0.734375] [adversarial loss: 1.254632, acc: 0.234375] 25261: [discriminator loss: 0.537206, acc: 0.718750] [adversarial loss: 1.266217, acc: 0.203125] 25262: [discriminator loss: 0.540482, acc: 0.757812] [adversarial loss: 0.972660, acc: 0.375000] 25263: [discriminator loss: 0.574020, acc: 0.726562] [adversarial loss: 1.382703, acc: 0.171875] 25264: [discriminator loss: 0.548593, acc: 0.703125] [adversarial loss: 0.840883, acc: 0.453125] 25265: [discriminator loss: 0.545976, acc: 0.679688] [adversarial loss: 1.784858, acc: 0.046875] 25266: [discriminator loss: 0.559576, acc: 0.695312] [adversarial loss: 0.910699, acc: 0.437500] 25267: [discriminator loss: 0.551420, acc: 0.679688] [adversarial loss: 1.742739, acc: 0.093750] 25268: [discriminator loss: 0.559243, acc: 0.687500] [adversarial loss: 1.056827, acc: 0.375000] 25269: [discriminator loss: 0.527178, acc: 0.750000] [adversarial loss: 1.443343, acc: 0.140625] 25270: [discriminator loss: 0.614088, acc: 0.617188] [adversarial loss: 0.813948, acc: 0.437500] 25271: [discriminator loss: 0.601647, acc: 0.648438] [adversarial loss: 1.363987, acc: 0.078125] 25272: [discriminator loss: 0.511099, acc: 0.750000] [adversarial loss: 1.105906, acc: 0.312500] 25273: [discriminator loss: 0.510733, acc: 0.718750] [adversarial loss: 1.162464, acc: 0.296875] 25274: [discriminator loss: 0.476782, acc: 0.789062] [adversarial loss: 1.404094, acc: 0.171875] 25275: [discriminator loss: 0.596583, acc: 0.679688] [adversarial loss: 1.015916, acc: 0.328125] 25276: [discriminator loss: 0.463199, acc: 0.820312] [adversarial loss: 1.266064, acc: 0.187500] 25277: [discriminator loss: 0.559088, acc: 0.679688] [adversarial loss: 0.985326, acc: 0.406250] 25278: [discriminator loss: 0.526285, acc: 0.703125] [adversarial loss: 1.479869, acc: 0.140625] 25279: [discriminator loss: 0.502366, acc: 0.781250] [adversarial loss: 1.062232, acc: 0.359375] 25280: [discriminator loss: 0.569357, acc: 0.718750] [adversarial loss: 1.079519, acc: 0.390625] 25281: [discriminator loss: 0.535974, acc: 0.726562] [adversarial loss: 1.241600, acc: 0.156250] 25282: [discriminator loss: 0.513299, acc: 0.710938] [adversarial loss: 0.978975, acc: 0.390625] 25283: [discriminator loss: 0.483867, acc: 0.750000] [adversarial loss: 1.209166, acc: 0.296875] 25284: [discriminator loss: 0.543982, acc: 0.726562] [adversarial loss: 1.062219, acc: 0.406250] 25285: [discriminator loss: 0.470375, acc: 0.750000] [adversarial loss: 1.743829, acc: 0.093750] 25286: [discriminator loss: 0.641596, acc: 0.632812] [adversarial loss: 1.002177, acc: 0.390625] 25287: [discriminator loss: 0.549130, acc: 0.750000] [adversarial loss: 1.180015, acc: 0.250000] 25288: [discriminator loss: 0.519634, acc: 0.671875] [adversarial loss: 0.886497, acc: 0.421875] 25289: [discriminator loss: 0.593796, acc: 0.664062] [adversarial loss: 1.284093, acc: 0.234375] 25290: [discriminator loss: 0.499597, acc: 0.765625] [adversarial loss: 0.720388, acc: 0.546875] 25291: [discriminator loss: 0.520788, acc: 0.742188] [adversarial loss: 1.514096, acc: 0.093750] 25292: [discriminator loss: 0.534312, acc: 0.742188] [adversarial loss: 0.797118, acc: 0.484375] 25293: [discriminator loss: 0.471647, acc: 0.734375] [adversarial loss: 1.026260, acc: 0.359375] 25294: [discriminator loss: 0.495946, acc: 0.773438] [adversarial loss: 0.911977, acc: 0.421875] 25295: [discriminator loss: 0.566628, acc: 0.703125] [adversarial loss: 1.193206, acc: 0.296875] 25296: [discriminator loss: 0.460402, acc: 0.804688] [adversarial loss: 1.070214, acc: 0.406250] 25297: [discriminator loss: 0.584371, acc: 0.671875] [adversarial loss: 1.499170, acc: 0.171875] 25298: [discriminator loss: 0.531687, acc: 0.718750] [adversarial loss: 0.870713, acc: 0.484375] 25299: [discriminator loss: 0.496872, acc: 0.734375] [adversarial loss: 1.157767, acc: 0.250000] 25300: [discriminator loss: 0.464264, acc: 0.781250] [adversarial loss: 0.905166, acc: 0.484375] 25301: [discriminator loss: 0.444171, acc: 0.796875] [adversarial loss: 1.383882, acc: 0.140625] 25302: [discriminator loss: 0.539779, acc: 0.695312] [adversarial loss: 0.650740, acc: 0.640625] 25303: [discriminator loss: 0.571759, acc: 0.695312] [adversarial loss: 1.744541, acc: 0.109375] 25304: [discriminator loss: 0.555098, acc: 0.718750] [adversarial loss: 0.749205, acc: 0.531250] 25305: [discriminator loss: 0.495747, acc: 0.789062] [adversarial loss: 1.473194, acc: 0.140625] 25306: [discriminator loss: 0.559503, acc: 0.695312] [adversarial loss: 1.045546, acc: 0.375000] 25307: [discriminator loss: 0.631145, acc: 0.679688] [adversarial loss: 1.298769, acc: 0.203125] 25308: [discriminator loss: 0.510237, acc: 0.734375] [adversarial loss: 1.158121, acc: 0.343750] 25309: [discriminator loss: 0.540019, acc: 0.718750] [adversarial loss: 1.294745, acc: 0.296875] 25310: [discriminator loss: 0.491617, acc: 0.789062] [adversarial loss: 1.470462, acc: 0.156250] 25311: [discriminator loss: 0.514757, acc: 0.734375] [adversarial loss: 1.168990, acc: 0.265625] 25312: [discriminator loss: 0.511715, acc: 0.742188] [adversarial loss: 1.784253, acc: 0.125000] 25313: [discriminator loss: 0.562793, acc: 0.710938] [adversarial loss: 1.382312, acc: 0.234375] 25314: [discriminator loss: 0.593705, acc: 0.679688] [adversarial loss: 1.165855, acc: 0.343750] 25315: [discriminator loss: 0.587309, acc: 0.703125] [adversarial loss: 2.013375, acc: 0.093750] 25316: [discriminator loss: 0.496128, acc: 0.734375] [adversarial loss: 1.040127, acc: 0.453125] 25317: [discriminator loss: 0.560308, acc: 0.687500] [adversarial loss: 1.877615, acc: 0.062500] 25318: [discriminator loss: 0.519585, acc: 0.726562] [adversarial loss: 1.141948, acc: 0.296875] 25319: [discriminator loss: 0.516665, acc: 0.750000] [adversarial loss: 1.580622, acc: 0.187500] 25320: [discriminator loss: 0.539403, acc: 0.703125] [adversarial loss: 1.054409, acc: 0.312500] 25321: [discriminator loss: 0.513751, acc: 0.718750] [adversarial loss: 1.085592, acc: 0.421875] 25322: [discriminator loss: 0.474404, acc: 0.781250] [adversarial loss: 1.304729, acc: 0.203125] 25323: [discriminator loss: 0.559556, acc: 0.695312] [adversarial loss: 1.222293, acc: 0.328125] 25324: [discriminator loss: 0.539243, acc: 0.687500] [adversarial loss: 1.199564, acc: 0.328125] 25325: [discriminator loss: 0.560367, acc: 0.687500] [adversarial loss: 1.233322, acc: 0.187500] 25326: [discriminator loss: 0.507571, acc: 0.789062] [adversarial loss: 1.154016, acc: 0.250000] 25327: [discriminator loss: 0.512050, acc: 0.773438] [adversarial loss: 1.241567, acc: 0.234375] 25328: [discriminator loss: 0.479705, acc: 0.765625] [adversarial loss: 1.323128, acc: 0.156250] 25329: [discriminator loss: 0.607184, acc: 0.687500] [adversarial loss: 1.169761, acc: 0.359375] 25330: [discriminator loss: 0.569067, acc: 0.695312] [adversarial loss: 1.614685, acc: 0.171875] 25331: [discriminator loss: 0.505936, acc: 0.734375] [adversarial loss: 0.942697, acc: 0.406250] 25332: [discriminator loss: 0.578888, acc: 0.664062] [adversarial loss: 1.595649, acc: 0.171875] 25333: [discriminator loss: 0.564779, acc: 0.718750] [adversarial loss: 0.894507, acc: 0.484375] 25334: [discriminator loss: 0.564128, acc: 0.726562] [adversarial loss: 1.396296, acc: 0.234375] 25335: [discriminator loss: 0.551366, acc: 0.671875] [adversarial loss: 0.852971, acc: 0.421875] 25336: [discriminator loss: 0.606721, acc: 0.671875] [adversarial loss: 1.566940, acc: 0.125000] 25337: [discriminator loss: 0.515334, acc: 0.734375] [adversarial loss: 1.004810, acc: 0.421875] 25338: [discriminator loss: 0.549555, acc: 0.703125] [adversarial loss: 1.646813, acc: 0.140625] 25339: [discriminator loss: 0.502157, acc: 0.695312] [adversarial loss: 0.904263, acc: 0.390625] 25340: [discriminator loss: 0.535678, acc: 0.687500] [adversarial loss: 1.545039, acc: 0.156250] 25341: [discriminator loss: 0.539393, acc: 0.718750] [adversarial loss: 0.765093, acc: 0.500000] 25342: [discriminator loss: 0.614038, acc: 0.671875] [adversarial loss: 1.809754, acc: 0.093750] 25343: [discriminator loss: 0.551492, acc: 0.664062] [adversarial loss: 0.788173, acc: 0.562500] 25344: [discriminator loss: 0.509620, acc: 0.734375] [adversarial loss: 1.492196, acc: 0.140625] 25345: [discriminator loss: 0.487946, acc: 0.742188] [adversarial loss: 0.916219, acc: 0.437500] 25346: [discriminator loss: 0.568741, acc: 0.703125] [adversarial loss: 1.259241, acc: 0.250000] 25347: [discriminator loss: 0.507144, acc: 0.750000] [adversarial loss: 0.752336, acc: 0.546875] 25348: [discriminator loss: 0.473623, acc: 0.796875] [adversarial loss: 1.170390, acc: 0.250000] 25349: [discriminator loss: 0.417922, acc: 0.804688] [adversarial loss: 0.959917, acc: 0.421875] 25350: [discriminator loss: 0.533314, acc: 0.710938] [adversarial loss: 0.946689, acc: 0.453125] 25351: [discriminator loss: 0.394278, acc: 0.835938] [adversarial loss: 0.913507, acc: 0.515625] 25352: [discriminator loss: 0.509534, acc: 0.718750] [adversarial loss: 0.994292, acc: 0.390625] 25353: [discriminator loss: 0.585205, acc: 0.687500] [adversarial loss: 1.475231, acc: 0.109375] 25354: [discriminator loss: 0.480357, acc: 0.757812] [adversarial loss: 0.968888, acc: 0.437500] 25355: [discriminator loss: 0.578285, acc: 0.710938] [adversarial loss: 1.691316, acc: 0.140625] 25356: [discriminator loss: 0.580490, acc: 0.671875] [adversarial loss: 0.669190, acc: 0.656250] 25357: [discriminator loss: 0.491582, acc: 0.765625] [adversarial loss: 1.244048, acc: 0.218750] 25358: [discriminator loss: 0.598666, acc: 0.671875] [adversarial loss: 0.786770, acc: 0.468750] 25359: [discriminator loss: 0.500223, acc: 0.765625] [adversarial loss: 1.481841, acc: 0.125000] 25360: [discriminator loss: 0.522655, acc: 0.757812] [adversarial loss: 0.748227, acc: 0.562500] 25361: [discriminator loss: 0.551541, acc: 0.679688] [adversarial loss: 1.646736, acc: 0.140625] 25362: [discriminator loss: 0.611557, acc: 0.632812] [adversarial loss: 0.784906, acc: 0.500000] 25363: [discriminator loss: 0.583822, acc: 0.726562] [adversarial loss: 1.581388, acc: 0.093750] 25364: [discriminator loss: 0.498522, acc: 0.734375] [adversarial loss: 0.959612, acc: 0.390625] 25365: [discriminator loss: 0.498468, acc: 0.773438] [adversarial loss: 1.172133, acc: 0.312500] 25366: [discriminator loss: 0.521347, acc: 0.742188] [adversarial loss: 1.116052, acc: 0.312500] 25367: [discriminator loss: 0.535332, acc: 0.726562] [adversarial loss: 1.073289, acc: 0.375000] 25368: [discriminator loss: 0.519443, acc: 0.742188] [adversarial loss: 1.100750, acc: 0.343750] 25369: [discriminator loss: 0.440040, acc: 0.820312] [adversarial loss: 1.240736, acc: 0.250000] 25370: [discriminator loss: 0.491579, acc: 0.750000] [adversarial loss: 1.504368, acc: 0.125000] 25371: [discriminator loss: 0.573567, acc: 0.695312] [adversarial loss: 0.763561, acc: 0.609375] 25372: [discriminator loss: 0.560785, acc: 0.695312] [adversarial loss: 1.536976, acc: 0.140625] 25373: [discriminator loss: 0.557308, acc: 0.679688] [adversarial loss: 0.925141, acc: 0.359375] 25374: [discriminator loss: 0.537424, acc: 0.757812] [adversarial loss: 1.606453, acc: 0.078125] 25375: [discriminator loss: 0.591843, acc: 0.671875] [adversarial loss: 0.889601, acc: 0.484375] 25376: [discriminator loss: 0.502946, acc: 0.742188] [adversarial loss: 1.607836, acc: 0.187500] 25377: [discriminator loss: 0.549236, acc: 0.687500] [adversarial loss: 0.878400, acc: 0.406250] 25378: [discriminator loss: 0.668229, acc: 0.656250] [adversarial loss: 1.590228, acc: 0.125000] 25379: [discriminator loss: 0.571150, acc: 0.664062] [adversarial loss: 1.079402, acc: 0.375000] 25380: [discriminator loss: 0.489336, acc: 0.765625] [adversarial loss: 1.346432, acc: 0.156250] 25381: [discriminator loss: 0.543305, acc: 0.718750] [adversarial loss: 1.331710, acc: 0.187500] 25382: [discriminator loss: 0.457609, acc: 0.734375] [adversarial loss: 1.343959, acc: 0.171875] 25383: [discriminator loss: 0.555188, acc: 0.679688] [adversarial loss: 1.091129, acc: 0.312500] 25384: [discriminator loss: 0.497664, acc: 0.718750] [adversarial loss: 1.410808, acc: 0.187500] 25385: [discriminator loss: 0.685831, acc: 0.656250] [adversarial loss: 1.248107, acc: 0.296875] 25386: [discriminator loss: 0.532651, acc: 0.718750] [adversarial loss: 1.242784, acc: 0.203125] 25387: [discriminator loss: 0.552652, acc: 0.726562] [adversarial loss: 0.833818, acc: 0.437500] 25388: [discriminator loss: 0.580818, acc: 0.718750] [adversarial loss: 1.563466, acc: 0.171875] 25389: [discriminator loss: 0.527684, acc: 0.703125] [adversarial loss: 0.860520, acc: 0.453125] 25390: [discriminator loss: 0.530467, acc: 0.742188] [adversarial loss: 1.357873, acc: 0.093750] 25391: [discriminator loss: 0.457984, acc: 0.812500] [adversarial loss: 1.117424, acc: 0.296875] 25392: [discriminator loss: 0.579244, acc: 0.710938] [adversarial loss: 1.257755, acc: 0.171875] 25393: [discriminator loss: 0.535765, acc: 0.742188] [adversarial loss: 1.329505, acc: 0.203125] 25394: [discriminator loss: 0.479778, acc: 0.765625] [adversarial loss: 1.276953, acc: 0.156250] 25395: [discriminator loss: 0.543454, acc: 0.734375] [adversarial loss: 1.264168, acc: 0.203125] 25396: [discriminator loss: 0.537703, acc: 0.687500] [adversarial loss: 1.024000, acc: 0.343750] 25397: [discriminator loss: 0.515115, acc: 0.765625] [adversarial loss: 1.536802, acc: 0.156250] 25398: [discriminator loss: 0.613199, acc: 0.671875] [adversarial loss: 0.918897, acc: 0.468750] 25399: [discriminator loss: 0.565822, acc: 0.726562] [adversarial loss: 1.567987, acc: 0.062500] 25400: [discriminator loss: 0.586814, acc: 0.664062] [adversarial loss: 0.865351, acc: 0.515625] 25401: [discriminator loss: 0.654438, acc: 0.664062] [adversarial loss: 1.960770, acc: 0.125000] 25402: [discriminator loss: 0.652310, acc: 0.656250] [adversarial loss: 0.852736, acc: 0.468750] 25403: [discriminator loss: 0.660971, acc: 0.656250] [adversarial loss: 1.726619, acc: 0.046875] 25404: [discriminator loss: 0.610854, acc: 0.679688] [adversarial loss: 1.152900, acc: 0.328125] 25405: [discriminator loss: 0.527532, acc: 0.773438] [adversarial loss: 1.471843, acc: 0.125000] 25406: [discriminator loss: 0.528427, acc: 0.679688] [adversarial loss: 0.982922, acc: 0.390625] 25407: [discriminator loss: 0.535644, acc: 0.742188] [adversarial loss: 1.394997, acc: 0.140625] 25408: [discriminator loss: 0.550968, acc: 0.718750] [adversarial loss: 0.931430, acc: 0.375000] 25409: [discriminator loss: 0.570566, acc: 0.703125] [adversarial loss: 1.131540, acc: 0.328125] 25410: [discriminator loss: 0.494919, acc: 0.742188] [adversarial loss: 1.116543, acc: 0.328125] 25411: [discriminator loss: 0.584493, acc: 0.695312] [adversarial loss: 1.394100, acc: 0.234375] 25412: [discriminator loss: 0.553197, acc: 0.687500] [adversarial loss: 1.128924, acc: 0.343750] 25413: [discriminator loss: 0.572796, acc: 0.710938] [adversarial loss: 1.497907, acc: 0.156250] 25414: [discriminator loss: 0.602023, acc: 0.640625] [adversarial loss: 1.044075, acc: 0.390625] 25415: [discriminator loss: 0.545085, acc: 0.710938] [adversarial loss: 1.253856, acc: 0.203125] 25416: [discriminator loss: 0.473897, acc: 0.773438] [adversarial loss: 1.017888, acc: 0.359375] 25417: [discriminator loss: 0.567586, acc: 0.679688] [adversarial loss: 1.394257, acc: 0.187500] 25418: [discriminator loss: 0.540265, acc: 0.695312] [adversarial loss: 0.946285, acc: 0.421875] 25419: [discriminator loss: 0.581849, acc: 0.710938] [adversarial loss: 1.264507, acc: 0.265625] 25420: [discriminator loss: 0.531614, acc: 0.742188] [adversarial loss: 1.027581, acc: 0.375000] 25421: [discriminator loss: 0.554399, acc: 0.687500] [adversarial loss: 1.460481, acc: 0.109375] 25422: [discriminator loss: 0.463303, acc: 0.789062] [adversarial loss: 0.924284, acc: 0.390625] 25423: [discriminator loss: 0.618048, acc: 0.648438] [adversarial loss: 1.528288, acc: 0.062500] 25424: [discriminator loss: 0.480251, acc: 0.757812] [adversarial loss: 0.918825, acc: 0.421875] 25425: [discriminator loss: 0.474210, acc: 0.812500] [adversarial loss: 1.180688, acc: 0.234375] 25426: [discriminator loss: 0.533455, acc: 0.726562] [adversarial loss: 1.154758, acc: 0.343750] 25427: [discriminator loss: 0.533117, acc: 0.750000] [adversarial loss: 1.207817, acc: 0.281250] 25428: [discriminator loss: 0.588206, acc: 0.671875] [adversarial loss: 1.669812, acc: 0.093750] 25429: [discriminator loss: 0.519279, acc: 0.773438] [adversarial loss: 1.214097, acc: 0.281250] 25430: [discriminator loss: 0.500868, acc: 0.734375] [adversarial loss: 0.912317, acc: 0.437500] 25431: [discriminator loss: 0.550684, acc: 0.742188] [adversarial loss: 1.639381, acc: 0.125000] 25432: [discriminator loss: 0.594371, acc: 0.664062] [adversarial loss: 0.833696, acc: 0.437500] 25433: [discriminator loss: 0.539068, acc: 0.726562] [adversarial loss: 1.375609, acc: 0.140625] 25434: [discriminator loss: 0.531673, acc: 0.710938] [adversarial loss: 0.793615, acc: 0.484375] 25435: [discriminator loss: 0.594683, acc: 0.687500] [adversarial loss: 1.530079, acc: 0.156250] 25436: [discriminator loss: 0.552079, acc: 0.695312] [adversarial loss: 0.877081, acc: 0.390625] 25437: [discriminator loss: 0.515164, acc: 0.750000] [adversarial loss: 1.238474, acc: 0.250000] 25438: [discriminator loss: 0.485553, acc: 0.765625] [adversarial loss: 1.445524, acc: 0.156250] 25439: [discriminator loss: 0.513512, acc: 0.765625] [adversarial loss: 1.058440, acc: 0.328125] 25440: [discriminator loss: 0.541646, acc: 0.671875] [adversarial loss: 1.190291, acc: 0.281250] 25441: [discriminator loss: 0.543729, acc: 0.796875] [adversarial loss: 1.656761, acc: 0.187500] 25442: [discriminator loss: 0.572566, acc: 0.695312] [adversarial loss: 0.857869, acc: 0.500000] 25443: [discriminator loss: 0.573937, acc: 0.679688] [adversarial loss: 1.426428, acc: 0.140625] 25444: [discriminator loss: 0.569733, acc: 0.695312] [adversarial loss: 0.889779, acc: 0.500000] 25445: [discriminator loss: 0.444751, acc: 0.765625] [adversarial loss: 1.395455, acc: 0.125000] 25446: [discriminator loss: 0.562402, acc: 0.710938] [adversarial loss: 0.929244, acc: 0.421875] 25447: [discriminator loss: 0.495650, acc: 0.742188] [adversarial loss: 1.322473, acc: 0.171875] 25448: [discriminator loss: 0.479737, acc: 0.742188] [adversarial loss: 1.370627, acc: 0.234375] 25449: [discriminator loss: 0.495135, acc: 0.750000] [adversarial loss: 1.306811, acc: 0.203125] 25450: [discriminator loss: 0.501187, acc: 0.773438] [adversarial loss: 1.200792, acc: 0.375000] 25451: [discriminator loss: 0.585305, acc: 0.695312] [adversarial loss: 1.556435, acc: 0.171875] 25452: [discriminator loss: 0.508290, acc: 0.734375] [adversarial loss: 1.064270, acc: 0.296875] 25453: [discriminator loss: 0.536714, acc: 0.726562] [adversarial loss: 1.767150, acc: 0.078125] 25454: [discriminator loss: 0.608745, acc: 0.671875] [adversarial loss: 0.821620, acc: 0.500000] 25455: [discriminator loss: 0.578852, acc: 0.726562] [adversarial loss: 1.429540, acc: 0.125000] 25456: [discriminator loss: 0.551513, acc: 0.726562] [adversarial loss: 0.938730, acc: 0.359375] 25457: [discriminator loss: 0.585290, acc: 0.750000] [adversarial loss: 1.733821, acc: 0.093750] 25458: [discriminator loss: 0.536202, acc: 0.710938] [adversarial loss: 1.127595, acc: 0.296875] 25459: [discriminator loss: 0.492160, acc: 0.726562] [adversarial loss: 1.455708, acc: 0.140625] 25460: [discriminator loss: 0.560824, acc: 0.710938] [adversarial loss: 0.870389, acc: 0.500000] 25461: [discriminator loss: 0.585897, acc: 0.703125] [adversarial loss: 1.430225, acc: 0.171875] 25462: [discriminator loss: 0.532681, acc: 0.718750] [adversarial loss: 0.964548, acc: 0.390625] 25463: [discriminator loss: 0.557099, acc: 0.695312] [adversarial loss: 1.216012, acc: 0.281250] 25464: [discriminator loss: 0.496239, acc: 0.765625] [adversarial loss: 0.970953, acc: 0.296875] 25465: [discriminator loss: 0.546844, acc: 0.703125] [adversarial loss: 1.344116, acc: 0.156250] 25466: [discriminator loss: 0.543896, acc: 0.734375] [adversarial loss: 1.202574, acc: 0.187500] 25467: [discriminator loss: 0.481732, acc: 0.765625] [adversarial loss: 1.093568, acc: 0.312500] 25468: [discriminator loss: 0.530118, acc: 0.718750] [adversarial loss: 1.079695, acc: 0.359375] 25469: [discriminator loss: 0.544892, acc: 0.734375] [adversarial loss: 1.452549, acc: 0.234375] 25470: [discriminator loss: 0.512023, acc: 0.765625] [adversarial loss: 0.989481, acc: 0.453125] 25471: [discriminator loss: 0.505733, acc: 0.734375] [adversarial loss: 1.125308, acc: 0.375000] 25472: [discriminator loss: 0.459451, acc: 0.781250] [adversarial loss: 1.063146, acc: 0.312500] 25473: [discriminator loss: 0.615126, acc: 0.656250] [adversarial loss: 1.210600, acc: 0.171875] 25474: [discriminator loss: 0.572224, acc: 0.640625] [adversarial loss: 0.914870, acc: 0.500000] 25475: [discriminator loss: 0.583574, acc: 0.679688] [adversarial loss: 1.407645, acc: 0.156250] 25476: [discriminator loss: 0.494554, acc: 0.750000] [adversarial loss: 1.031107, acc: 0.390625] 25477: [discriminator loss: 0.547159, acc: 0.750000] [adversarial loss: 1.465288, acc: 0.093750] 25478: [discriminator loss: 0.530008, acc: 0.710938] [adversarial loss: 0.762724, acc: 0.593750] 25479: [discriminator loss: 0.590009, acc: 0.664062] [adversarial loss: 1.754404, acc: 0.093750] 25480: [discriminator loss: 0.632936, acc: 0.640625] [adversarial loss: 0.981225, acc: 0.406250] 25481: [discriminator loss: 0.531589, acc: 0.695312] [adversarial loss: 1.248330, acc: 0.281250] 25482: [discriminator loss: 0.526916, acc: 0.734375] [adversarial loss: 1.249187, acc: 0.250000] 25483: [discriminator loss: 0.578327, acc: 0.710938] [adversarial loss: 1.330585, acc: 0.171875] 25484: [discriminator loss: 0.517853, acc: 0.710938] [adversarial loss: 1.150456, acc: 0.234375] 25485: [discriminator loss: 0.551432, acc: 0.679688] [adversarial loss: 1.463439, acc: 0.171875] 25486: [discriminator loss: 0.585904, acc: 0.679688] [adversarial loss: 0.990083, acc: 0.421875] 25487: [discriminator loss: 0.522578, acc: 0.750000] [adversarial loss: 1.380625, acc: 0.156250] 25488: [discriminator loss: 0.508320, acc: 0.742188] [adversarial loss: 1.076473, acc: 0.421875] 25489: [discriminator loss: 0.520387, acc: 0.750000] [adversarial loss: 1.100037, acc: 0.250000] 25490: [discriminator loss: 0.539127, acc: 0.750000] [adversarial loss: 1.579353, acc: 0.109375] 25491: [discriminator loss: 0.562902, acc: 0.703125] [adversarial loss: 1.041690, acc: 0.406250] 25492: [discriminator loss: 0.514483, acc: 0.765625] [adversarial loss: 1.234360, acc: 0.250000] 25493: [discriminator loss: 0.515154, acc: 0.757812] [adversarial loss: 1.198839, acc: 0.203125] 25494: [discriminator loss: 0.499738, acc: 0.726562] [adversarial loss: 1.362191, acc: 0.265625] 25495: [discriminator loss: 0.531352, acc: 0.679688] [adversarial loss: 0.888472, acc: 0.406250] 25496: [discriminator loss: 0.493946, acc: 0.742188] [adversarial loss: 1.446319, acc: 0.156250] 25497: [discriminator loss: 0.546127, acc: 0.726562] [adversarial loss: 1.073265, acc: 0.390625] 25498: [discriminator loss: 0.532086, acc: 0.757812] [adversarial loss: 1.761072, acc: 0.078125] 25499: [discriminator loss: 0.500487, acc: 0.710938] [adversarial loss: 1.124191, acc: 0.390625] 25500: [discriminator loss: 0.476255, acc: 0.773438] [adversarial loss: 1.389833, acc: 0.156250] 25501: [discriminator loss: 0.550562, acc: 0.695312] [adversarial loss: 0.764590, acc: 0.546875] 25502: [discriminator loss: 0.597971, acc: 0.726562] [adversarial loss: 1.545653, acc: 0.125000] 25503: [discriminator loss: 0.656821, acc: 0.625000] [adversarial loss: 1.000529, acc: 0.406250] 25504: [discriminator loss: 0.464603, acc: 0.789062] [adversarial loss: 1.257450, acc: 0.250000] 25505: [discriminator loss: 0.551184, acc: 0.742188] [adversarial loss: 1.007781, acc: 0.312500] 25506: [discriminator loss: 0.554901, acc: 0.648438] [adversarial loss: 1.265920, acc: 0.171875] 25507: [discriminator loss: 0.586974, acc: 0.687500] [adversarial loss: 0.891255, acc: 0.468750] 25508: [discriminator loss: 0.612387, acc: 0.664062] [adversarial loss: 1.530632, acc: 0.125000] 25509: [discriminator loss: 0.651588, acc: 0.656250] [adversarial loss: 0.847527, acc: 0.531250] 25510: [discriminator loss: 0.595832, acc: 0.703125] [adversarial loss: 1.352199, acc: 0.109375] 25511: [discriminator loss: 0.490545, acc: 0.765625] [adversarial loss: 0.848842, acc: 0.484375] 25512: [discriminator loss: 0.573143, acc: 0.718750] [adversarial loss: 1.323230, acc: 0.125000] 25513: [discriminator loss: 0.497141, acc: 0.750000] [adversarial loss: 1.097188, acc: 0.359375] 25514: [discriminator loss: 0.524229, acc: 0.742188] [adversarial loss: 1.437603, acc: 0.125000] 25515: [discriminator loss: 0.491808, acc: 0.750000] [adversarial loss: 0.916757, acc: 0.406250] 25516: [discriminator loss: 0.637129, acc: 0.640625] [adversarial loss: 1.316712, acc: 0.218750] 25517: [discriminator loss: 0.497661, acc: 0.757812] [adversarial loss: 1.289836, acc: 0.203125] 25518: [discriminator loss: 0.574833, acc: 0.695312] [adversarial loss: 1.098755, acc: 0.296875] 25519: [discriminator loss: 0.561057, acc: 0.640625] [adversarial loss: 1.353652, acc: 0.187500] 25520: [discriminator loss: 0.498724, acc: 0.765625] [adversarial loss: 0.979667, acc: 0.359375] 25521: [discriminator loss: 0.473240, acc: 0.765625] [adversarial loss: 1.469956, acc: 0.125000] 25522: [discriminator loss: 0.513660, acc: 0.734375] [adversarial loss: 0.887213, acc: 0.406250] 25523: [discriminator loss: 0.525906, acc: 0.718750] [adversarial loss: 1.421025, acc: 0.203125] 25524: [discriminator loss: 0.530199, acc: 0.750000] [adversarial loss: 1.083924, acc: 0.343750] 25525: [discriminator loss: 0.597187, acc: 0.679688] [adversarial loss: 1.566010, acc: 0.046875] 25526: [discriminator loss: 0.559225, acc: 0.695312] [adversarial loss: 0.977473, acc: 0.421875] 25527: [discriminator loss: 0.510391, acc: 0.734375] [adversarial loss: 0.991686, acc: 0.406250] 25528: [discriminator loss: 0.544330, acc: 0.726562] [adversarial loss: 1.266097, acc: 0.187500] 25529: [discriminator loss: 0.484071, acc: 0.781250] [adversarial loss: 1.296115, acc: 0.234375] 25530: [discriminator loss: 0.541483, acc: 0.718750] [adversarial loss: 1.585985, acc: 0.093750] 25531: [discriminator loss: 0.512012, acc: 0.718750] [adversarial loss: 1.151041, acc: 0.312500] 25532: [discriminator loss: 0.570388, acc: 0.687500] [adversarial loss: 1.154536, acc: 0.265625] 25533: [discriminator loss: 0.515180, acc: 0.695312] [adversarial loss: 1.306676, acc: 0.218750] 25534: [discriminator loss: 0.562929, acc: 0.679688] [adversarial loss: 1.207734, acc: 0.312500] 25535: [discriminator loss: 0.565243, acc: 0.671875] [adversarial loss: 0.908914, acc: 0.468750] 25536: [discriminator loss: 0.527219, acc: 0.734375] [adversarial loss: 1.359518, acc: 0.187500] 25537: [discriminator loss: 0.507076, acc: 0.773438] [adversarial loss: 1.229534, acc: 0.250000] 25538: [discriminator loss: 0.553919, acc: 0.710938] [adversarial loss: 1.223077, acc: 0.296875] 25539: [discriminator loss: 0.559339, acc: 0.679688] [adversarial loss: 1.207693, acc: 0.296875] 25540: [discriminator loss: 0.608079, acc: 0.671875] [adversarial loss: 1.070093, acc: 0.265625] 25541: [discriminator loss: 0.524666, acc: 0.734375] [adversarial loss: 1.258878, acc: 0.203125] 25542: [discriminator loss: 0.547658, acc: 0.687500] [adversarial loss: 1.074649, acc: 0.328125] 25543: [discriminator loss: 0.538873, acc: 0.726562] [adversarial loss: 1.583101, acc: 0.125000] 25544: [discriminator loss: 0.540054, acc: 0.757812] [adversarial loss: 0.880867, acc: 0.437500] 25545: [discriminator loss: 0.555548, acc: 0.734375] [adversarial loss: 1.510683, acc: 0.156250] 25546: [discriminator loss: 0.586187, acc: 0.640625] [adversarial loss: 0.940582, acc: 0.453125] 25547: [discriminator loss: 0.528681, acc: 0.718750] [adversarial loss: 1.302996, acc: 0.125000] 25548: [discriminator loss: 0.567034, acc: 0.695312] [adversarial loss: 1.188646, acc: 0.250000] 25549: [discriminator loss: 0.525300, acc: 0.734375] [adversarial loss: 1.254996, acc: 0.281250] 25550: [discriminator loss: 0.507259, acc: 0.734375] [adversarial loss: 1.306038, acc: 0.203125] 25551: [discriminator loss: 0.504005, acc: 0.726562] [adversarial loss: 0.935736, acc: 0.421875] 25552: [discriminator loss: 0.556130, acc: 0.695312] [adversarial loss: 1.278318, acc: 0.171875] 25553: [discriminator loss: 0.487483, acc: 0.757812] [adversarial loss: 1.121726, acc: 0.281250] 25554: [discriminator loss: 0.468840, acc: 0.789062] [adversarial loss: 1.338703, acc: 0.156250] 25555: [discriminator loss: 0.519304, acc: 0.664062] [adversarial loss: 0.713994, acc: 0.609375] 25556: [discriminator loss: 0.572883, acc: 0.671875] [adversarial loss: 1.501951, acc: 0.250000] 25557: [discriminator loss: 0.594345, acc: 0.648438] [adversarial loss: 1.028595, acc: 0.296875] 25558: [discriminator loss: 0.525598, acc: 0.679688] [adversarial loss: 1.193394, acc: 0.265625] 25559: [discriminator loss: 0.444286, acc: 0.812500] [adversarial loss: 1.348474, acc: 0.218750] 25560: [discriminator loss: 0.599453, acc: 0.656250] [adversarial loss: 1.061571, acc: 0.296875] 25561: [discriminator loss: 0.474738, acc: 0.765625] [adversarial loss: 1.266010, acc: 0.171875] 25562: [discriminator loss: 0.497996, acc: 0.710938] [adversarial loss: 0.920052, acc: 0.421875] 25563: [discriminator loss: 0.528645, acc: 0.757812] [adversarial loss: 1.533061, acc: 0.078125] 25564: [discriminator loss: 0.587248, acc: 0.664062] [adversarial loss: 0.848831, acc: 0.421875] 25565: [discriminator loss: 0.578573, acc: 0.679688] [adversarial loss: 1.617668, acc: 0.109375] 25566: [discriminator loss: 0.553495, acc: 0.679688] [adversarial loss: 0.820563, acc: 0.468750] 25567: [discriminator loss: 0.558783, acc: 0.703125] [adversarial loss: 1.571573, acc: 0.031250] 25568: [discriminator loss: 0.565374, acc: 0.695312] [adversarial loss: 0.837138, acc: 0.515625] 25569: [discriminator loss: 0.552532, acc: 0.750000] [adversarial loss: 1.495306, acc: 0.140625] 25570: [discriminator loss: 0.496582, acc: 0.757812] [adversarial loss: 0.983767, acc: 0.359375] 25571: [discriminator loss: 0.499477, acc: 0.742188] [adversarial loss: 1.392817, acc: 0.078125] 25572: [discriminator loss: 0.499585, acc: 0.750000] [adversarial loss: 0.727312, acc: 0.593750] 25573: [discriminator loss: 0.560611, acc: 0.703125] [adversarial loss: 1.771079, acc: 0.093750] 25574: [discriminator loss: 0.527111, acc: 0.695312] [adversarial loss: 0.933803, acc: 0.328125] 25575: [discriminator loss: 0.562499, acc: 0.710938] [adversarial loss: 1.213666, acc: 0.234375] 25576: [discriminator loss: 0.484113, acc: 0.757812] [adversarial loss: 1.314812, acc: 0.218750] 25577: [discriminator loss: 0.522562, acc: 0.750000] [adversarial loss: 1.348611, acc: 0.187500] 25578: [discriminator loss: 0.464078, acc: 0.789062] [adversarial loss: 1.320278, acc: 0.187500] 25579: [discriminator loss: 0.584968, acc: 0.632812] [adversarial loss: 0.984322, acc: 0.390625] 25580: [discriminator loss: 0.570400, acc: 0.703125] [adversarial loss: 1.514843, acc: 0.093750] 25581: [discriminator loss: 0.576605, acc: 0.671875] [adversarial loss: 0.852471, acc: 0.484375] 25582: [discriminator loss: 0.557598, acc: 0.734375] [adversarial loss: 1.427905, acc: 0.140625] 25583: [discriminator loss: 0.539605, acc: 0.687500] [adversarial loss: 0.900633, acc: 0.421875] 25584: [discriminator loss: 0.514941, acc: 0.757812] [adversarial loss: 1.489639, acc: 0.125000] 25585: [discriminator loss: 0.486696, acc: 0.765625] [adversarial loss: 1.039083, acc: 0.343750] 25586: [discriminator loss: 0.636981, acc: 0.648438] [adversarial loss: 1.439427, acc: 0.140625] 25587: [discriminator loss: 0.496443, acc: 0.695312] [adversarial loss: 0.878209, acc: 0.484375] 25588: [discriminator loss: 0.542142, acc: 0.726562] [adversarial loss: 1.407846, acc: 0.140625] 25589: [discriminator loss: 0.523527, acc: 0.742188] [adversarial loss: 0.880275, acc: 0.437500] 25590: [discriminator loss: 0.527498, acc: 0.757812] [adversarial loss: 1.399748, acc: 0.078125] 25591: [discriminator loss: 0.517537, acc: 0.703125] [adversarial loss: 0.920506, acc: 0.421875] 25592: [discriminator loss: 0.554707, acc: 0.710938] [adversarial loss: 1.646336, acc: 0.140625] 25593: [discriminator loss: 0.592472, acc: 0.703125] [adversarial loss: 0.845403, acc: 0.453125] 25594: [discriminator loss: 0.574383, acc: 0.656250] [adversarial loss: 1.277587, acc: 0.203125] 25595: [discriminator loss: 0.507659, acc: 0.734375] [adversarial loss: 1.052390, acc: 0.390625] 25596: [discriminator loss: 0.466993, acc: 0.781250] [adversarial loss: 1.239967, acc: 0.203125] 25597: [discriminator loss: 0.531326, acc: 0.750000] [adversarial loss: 1.150244, acc: 0.250000] 25598: [discriminator loss: 0.489208, acc: 0.789062] [adversarial loss: 1.396192, acc: 0.187500] 25599: [discriminator loss: 0.566731, acc: 0.687500] [adversarial loss: 1.069861, acc: 0.312500] 25600: [discriminator loss: 0.495262, acc: 0.773438] [adversarial loss: 1.453671, acc: 0.109375] 25601: [discriminator loss: 0.555268, acc: 0.726562] [adversarial loss: 0.979770, acc: 0.296875] 25602: [discriminator loss: 0.501368, acc: 0.726562] [adversarial loss: 1.413655, acc: 0.156250] 25603: [discriminator loss: 0.497695, acc: 0.750000] [adversarial loss: 0.802087, acc: 0.500000] 25604: [discriminator loss: 0.565360, acc: 0.703125] [adversarial loss: 1.666013, acc: 0.031250] 25605: [discriminator loss: 0.576196, acc: 0.687500] [adversarial loss: 0.781202, acc: 0.593750] 25606: [discriminator loss: 0.576462, acc: 0.718750] [adversarial loss: 1.353595, acc: 0.265625] 25607: [discriminator loss: 0.531945, acc: 0.750000] [adversarial loss: 1.060257, acc: 0.312500] 25608: [discriminator loss: 0.529139, acc: 0.710938] [adversarial loss: 1.183774, acc: 0.265625] 25609: [discriminator loss: 0.598451, acc: 0.671875] [adversarial loss: 1.087040, acc: 0.328125] 25610: [discriminator loss: 0.529749, acc: 0.757812] [adversarial loss: 1.318271, acc: 0.187500] 25611: [discriminator loss: 0.497956, acc: 0.718750] [adversarial loss: 1.139636, acc: 0.296875] 25612: [discriminator loss: 0.514770, acc: 0.765625] [adversarial loss: 1.144411, acc: 0.328125] 25613: [discriminator loss: 0.515536, acc: 0.750000] [adversarial loss: 1.079417, acc: 0.312500] 25614: [discriminator loss: 0.495690, acc: 0.734375] [adversarial loss: 1.410734, acc: 0.203125] 25615: [discriminator loss: 0.528709, acc: 0.734375] [adversarial loss: 1.089271, acc: 0.421875] 25616: [discriminator loss: 0.516297, acc: 0.742188] [adversarial loss: 1.338633, acc: 0.156250] 25617: [discriminator loss: 0.526386, acc: 0.718750] [adversarial loss: 0.900127, acc: 0.390625] 25618: [discriminator loss: 0.573346, acc: 0.679688] [adversarial loss: 1.377179, acc: 0.218750] 25619: [discriminator loss: 0.541595, acc: 0.742188] [adversarial loss: 0.876824, acc: 0.406250] 25620: [discriminator loss: 0.497714, acc: 0.781250] [adversarial loss: 1.306085, acc: 0.187500] 25621: [discriminator loss: 0.580096, acc: 0.664062] [adversarial loss: 0.857275, acc: 0.437500] 25622: [discriminator loss: 0.493721, acc: 0.734375] [adversarial loss: 1.660424, acc: 0.125000] 25623: [discriminator loss: 0.514803, acc: 0.726562] [adversarial loss: 1.109905, acc: 0.312500] 25624: [discriminator loss: 0.514930, acc: 0.789062] [adversarial loss: 1.414479, acc: 0.093750] 25625: [discriminator loss: 0.457670, acc: 0.789062] [adversarial loss: 1.310989, acc: 0.265625] 25626: [discriminator loss: 0.526685, acc: 0.695312] [adversarial loss: 0.927652, acc: 0.406250] 25627: [discriminator loss: 0.533871, acc: 0.734375] [adversarial loss: 1.623431, acc: 0.078125] 25628: [discriminator loss: 0.565218, acc: 0.664062] [adversarial loss: 0.840356, acc: 0.453125] 25629: [discriminator loss: 0.481052, acc: 0.789062] [adversarial loss: 1.209544, acc: 0.281250] 25630: [discriminator loss: 0.493744, acc: 0.750000] [adversarial loss: 0.811284, acc: 0.484375] 25631: [discriminator loss: 0.585974, acc: 0.710938] [adversarial loss: 2.037456, acc: 0.062500] 25632: [discriminator loss: 0.643983, acc: 0.671875] [adversarial loss: 0.829518, acc: 0.546875] 25633: [discriminator loss: 0.608285, acc: 0.695312] [adversarial loss: 1.351107, acc: 0.171875] 25634: [discriminator loss: 0.533626, acc: 0.734375] [adversarial loss: 1.132023, acc: 0.312500] 25635: [discriminator loss: 0.544099, acc: 0.773438] [adversarial loss: 1.265208, acc: 0.250000] 25636: [discriminator loss: 0.598931, acc: 0.671875] [adversarial loss: 1.315755, acc: 0.203125] 25637: [discriminator loss: 0.534082, acc: 0.734375] [adversarial loss: 1.260242, acc: 0.171875] 25638: [discriminator loss: 0.527275, acc: 0.757812] [adversarial loss: 0.951439, acc: 0.453125] 25639: [discriminator loss: 0.509154, acc: 0.734375] [adversarial loss: 1.115268, acc: 0.218750] 25640: [discriminator loss: 0.548640, acc: 0.710938] [adversarial loss: 1.386251, acc: 0.187500] 25641: [discriminator loss: 0.531408, acc: 0.757812] [adversarial loss: 0.988570, acc: 0.343750] 25642: [discriminator loss: 0.597487, acc: 0.648438] [adversarial loss: 1.689152, acc: 0.046875] 25643: [discriminator loss: 0.524440, acc: 0.718750] [adversarial loss: 0.918521, acc: 0.406250] 25644: [discriminator loss: 0.538941, acc: 0.750000] [adversarial loss: 1.532007, acc: 0.140625] 25645: [discriminator loss: 0.572679, acc: 0.679688] [adversarial loss: 1.125595, acc: 0.296875] 25646: [discriminator loss: 0.486624, acc: 0.750000] [adversarial loss: 1.383659, acc: 0.203125] 25647: [discriminator loss: 0.612010, acc: 0.656250] [adversarial loss: 1.011617, acc: 0.390625] 25648: [discriminator loss: 0.589989, acc: 0.679688] [adversarial loss: 1.783901, acc: 0.109375] 25649: [discriminator loss: 0.676989, acc: 0.664062] [adversarial loss: 0.988314, acc: 0.421875] 25650: [discriminator loss: 0.563033, acc: 0.734375] [adversarial loss: 1.526915, acc: 0.125000] 25651: [discriminator loss: 0.524301, acc: 0.757812] [adversarial loss: 1.013795, acc: 0.265625] 25652: [discriminator loss: 0.504608, acc: 0.757812] [adversarial loss: 1.325691, acc: 0.203125] 25653: [discriminator loss: 0.521910, acc: 0.734375] [adversarial loss: 1.227185, acc: 0.281250] 25654: [discriminator loss: 0.592377, acc: 0.671875] [adversarial loss: 1.447577, acc: 0.218750] 25655: [discriminator loss: 0.517473, acc: 0.718750] [adversarial loss: 0.816423, acc: 0.484375] 25656: [discriminator loss: 0.604554, acc: 0.609375] [adversarial loss: 1.675272, acc: 0.140625] 25657: [discriminator loss: 0.542697, acc: 0.695312] [adversarial loss: 0.929558, acc: 0.421875] 25658: [discriminator loss: 0.558173, acc: 0.695312] [adversarial loss: 1.530483, acc: 0.125000] 25659: [discriminator loss: 0.581066, acc: 0.703125] [adversarial loss: 0.977374, acc: 0.375000] 25660: [discriminator loss: 0.452105, acc: 0.796875] [adversarial loss: 1.267850, acc: 0.265625] 25661: [discriminator loss: 0.527648, acc: 0.710938] [adversarial loss: 1.305571, acc: 0.218750] 25662: [discriminator loss: 0.514296, acc: 0.742188] [adversarial loss: 1.325901, acc: 0.265625] 25663: [discriminator loss: 0.624084, acc: 0.640625] [adversarial loss: 1.108583, acc: 0.343750] 25664: [discriminator loss: 0.501638, acc: 0.710938] [adversarial loss: 1.477752, acc: 0.125000] 25665: [discriminator loss: 0.514207, acc: 0.757812] [adversarial loss: 0.942102, acc: 0.343750] 25666: [discriminator loss: 0.556413, acc: 0.734375] [adversarial loss: 1.313552, acc: 0.250000] 25667: [discriminator loss: 0.511479, acc: 0.718750] [adversarial loss: 0.982242, acc: 0.500000] 25668: [discriminator loss: 0.595028, acc: 0.726562] [adversarial loss: 1.304016, acc: 0.187500] 25669: [discriminator loss: 0.503753, acc: 0.757812] [adversarial loss: 1.179376, acc: 0.234375] 25670: [discriminator loss: 0.583843, acc: 0.632812] [adversarial loss: 1.394858, acc: 0.171875] 25671: [discriminator loss: 0.540633, acc: 0.773438] [adversarial loss: 0.945254, acc: 0.375000] 25672: [discriminator loss: 0.645550, acc: 0.648438] [adversarial loss: 1.958789, acc: 0.046875] 25673: [discriminator loss: 0.602971, acc: 0.640625] [adversarial loss: 0.893040, acc: 0.468750] 25674: [discriminator loss: 0.584005, acc: 0.656250] [adversarial loss: 1.212726, acc: 0.218750] 25675: [discriminator loss: 0.488631, acc: 0.750000] [adversarial loss: 1.045151, acc: 0.390625] 25676: [discriminator loss: 0.529399, acc: 0.726562] [adversarial loss: 1.161166, acc: 0.359375] 25677: [discriminator loss: 0.490864, acc: 0.734375] [adversarial loss: 1.193313, acc: 0.281250] 25678: [discriminator loss: 0.538657, acc: 0.703125] [adversarial loss: 1.318094, acc: 0.296875] 25679: [discriminator loss: 0.568306, acc: 0.710938] [adversarial loss: 1.340702, acc: 0.296875] 25680: [discriminator loss: 0.537373, acc: 0.742188] [adversarial loss: 1.430094, acc: 0.203125] 25681: [discriminator loss: 0.491102, acc: 0.734375] [adversarial loss: 1.119301, acc: 0.343750] 25682: [discriminator loss: 0.513990, acc: 0.750000] [adversarial loss: 1.463118, acc: 0.125000] 25683: [discriminator loss: 0.529839, acc: 0.703125] [adversarial loss: 1.069868, acc: 0.421875] 25684: [discriminator loss: 0.548493, acc: 0.718750] [adversarial loss: 1.538156, acc: 0.062500] 25685: [discriminator loss: 0.618486, acc: 0.656250] [adversarial loss: 0.999599, acc: 0.328125] 25686: [discriminator loss: 0.490430, acc: 0.773438] [adversarial loss: 1.340898, acc: 0.250000] 25687: [discriminator loss: 0.548532, acc: 0.695312] [adversarial loss: 1.097924, acc: 0.375000] 25688: [discriminator loss: 0.556581, acc: 0.703125] [adversarial loss: 1.553723, acc: 0.140625] 25689: [discriminator loss: 0.563835, acc: 0.687500] [adversarial loss: 1.135544, acc: 0.187500] 25690: [discriminator loss: 0.521322, acc: 0.726562] [adversarial loss: 1.396271, acc: 0.125000] 25691: [discriminator loss: 0.526803, acc: 0.734375] [adversarial loss: 0.962695, acc: 0.453125] 25692: [discriminator loss: 0.521918, acc: 0.734375] [adversarial loss: 1.252335, acc: 0.203125] 25693: [discriminator loss: 0.610441, acc: 0.656250] [adversarial loss: 1.247903, acc: 0.218750] 25694: [discriminator loss: 0.480255, acc: 0.773438] [adversarial loss: 1.129710, acc: 0.281250] 25695: [discriminator loss: 0.542329, acc: 0.679688] [adversarial loss: 1.410653, acc: 0.156250] 25696: [discriminator loss: 0.564821, acc: 0.718750] [adversarial loss: 0.803474, acc: 0.500000] 25697: [discriminator loss: 0.494004, acc: 0.757812] [adversarial loss: 1.555141, acc: 0.125000] 25698: [discriminator loss: 0.573547, acc: 0.648438] [adversarial loss: 0.940153, acc: 0.453125] 25699: [discriminator loss: 0.566293, acc: 0.687500] [adversarial loss: 1.766636, acc: 0.062500] 25700: [discriminator loss: 0.620553, acc: 0.617188] [adversarial loss: 0.638314, acc: 0.625000] 25701: [discriminator loss: 0.695090, acc: 0.679688] [adversarial loss: 1.715017, acc: 0.140625] 25702: [discriminator loss: 0.606385, acc: 0.695312] [adversarial loss: 1.169674, acc: 0.328125] 25703: [discriminator loss: 0.578852, acc: 0.648438] [adversarial loss: 0.958151, acc: 0.328125] 25704: [discriminator loss: 0.524483, acc: 0.742188] [adversarial loss: 1.163710, acc: 0.203125] 25705: [discriminator loss: 0.504313, acc: 0.695312] [adversarial loss: 1.098056, acc: 0.281250] 25706: [discriminator loss: 0.515796, acc: 0.757812] [adversarial loss: 1.233366, acc: 0.234375] 25707: [discriminator loss: 0.499974, acc: 0.734375] [adversarial loss: 1.155683, acc: 0.234375] 25708: [discriminator loss: 0.519221, acc: 0.734375] [adversarial loss: 1.428851, acc: 0.109375] 25709: [discriminator loss: 0.600036, acc: 0.656250] [adversarial loss: 0.838783, acc: 0.531250] 25710: [discriminator loss: 0.603251, acc: 0.703125] [adversarial loss: 1.596917, acc: 0.078125] 25711: [discriminator loss: 0.553174, acc: 0.695312] [adversarial loss: 0.757683, acc: 0.500000] 25712: [discriminator loss: 0.522497, acc: 0.664062] [adversarial loss: 1.414532, acc: 0.187500] 25713: [discriminator loss: 0.611690, acc: 0.664062] [adversarial loss: 1.064633, acc: 0.328125] 25714: [discriminator loss: 0.534958, acc: 0.695312] [adversarial loss: 1.507329, acc: 0.187500] 25715: [discriminator loss: 0.581775, acc: 0.664062] [adversarial loss: 0.822739, acc: 0.406250] 25716: [discriminator loss: 0.534170, acc: 0.734375] [adversarial loss: 1.525804, acc: 0.125000] 25717: [discriminator loss: 0.503801, acc: 0.773438] [adversarial loss: 0.924388, acc: 0.390625] 25718: [discriminator loss: 0.545810, acc: 0.734375] [adversarial loss: 1.446993, acc: 0.140625] 25719: [discriminator loss: 0.564380, acc: 0.671875] [adversarial loss: 0.914162, acc: 0.406250] 25720: [discriminator loss: 0.590463, acc: 0.687500] [adversarial loss: 1.444912, acc: 0.140625] 25721: [discriminator loss: 0.530616, acc: 0.734375] [adversarial loss: 0.991345, acc: 0.343750] 25722: [discriminator loss: 0.579382, acc: 0.718750] [adversarial loss: 1.477080, acc: 0.140625] 25723: [discriminator loss: 0.624448, acc: 0.640625] [adversarial loss: 1.225779, acc: 0.234375] 25724: [discriminator loss: 0.489502, acc: 0.734375] [adversarial loss: 0.938917, acc: 0.421875] 25725: [discriminator loss: 0.520545, acc: 0.734375] [adversarial loss: 1.630636, acc: 0.125000] 25726: [discriminator loss: 0.632778, acc: 0.625000] [adversarial loss: 1.167094, acc: 0.265625] 25727: [discriminator loss: 0.503699, acc: 0.773438] [adversarial loss: 1.406890, acc: 0.125000] 25728: [discriminator loss: 0.509893, acc: 0.726562] [adversarial loss: 1.129410, acc: 0.328125] 25729: [discriminator loss: 0.522900, acc: 0.718750] [adversarial loss: 1.496542, acc: 0.125000] 25730: [discriminator loss: 0.533196, acc: 0.718750] [adversarial loss: 0.872720, acc: 0.453125] 25731: [discriminator loss: 0.608498, acc: 0.695312] [adversarial loss: 1.577967, acc: 0.140625] 25732: [discriminator loss: 0.567690, acc: 0.687500] [adversarial loss: 1.034628, acc: 0.421875] 25733: [discriminator loss: 0.483230, acc: 0.781250] [adversarial loss: 1.263375, acc: 0.203125] 25734: [discriminator loss: 0.565831, acc: 0.703125] [adversarial loss: 1.400229, acc: 0.156250] 25735: [discriminator loss: 0.513606, acc: 0.773438] [adversarial loss: 1.014859, acc: 0.328125] 25736: [discriminator loss: 0.477614, acc: 0.710938] [adversarial loss: 1.363086, acc: 0.203125] 25737: [discriminator loss: 0.514080, acc: 0.734375] [adversarial loss: 1.131493, acc: 0.296875] 25738: [discriminator loss: 0.525995, acc: 0.703125] [adversarial loss: 1.567659, acc: 0.062500] 25739: [discriminator loss: 0.628752, acc: 0.648438] [adversarial loss: 0.754519, acc: 0.468750] 25740: [discriminator loss: 0.508202, acc: 0.757812] [adversarial loss: 1.448705, acc: 0.187500] 25741: [discriminator loss: 0.535476, acc: 0.742188] [adversarial loss: 0.730778, acc: 0.593750] 25742: [discriminator loss: 0.535769, acc: 0.718750] [adversarial loss: 1.565790, acc: 0.125000] 25743: [discriminator loss: 0.541037, acc: 0.695312] [adversarial loss: 0.852262, acc: 0.515625] 25744: [discriminator loss: 0.612266, acc: 0.687500] [adversarial loss: 1.400989, acc: 0.156250] 25745: [discriminator loss: 0.559506, acc: 0.726562] [adversarial loss: 0.928214, acc: 0.359375] 25746: [discriminator loss: 0.485059, acc: 0.773438] [adversarial loss: 1.256697, acc: 0.203125] 25747: [discriminator loss: 0.590139, acc: 0.687500] [adversarial loss: 0.895564, acc: 0.468750] 25748: [discriminator loss: 0.505903, acc: 0.781250] [adversarial loss: 1.491203, acc: 0.125000] 25749: [discriminator loss: 0.528162, acc: 0.726562] [adversarial loss: 0.923485, acc: 0.328125] 25750: [discriminator loss: 0.571532, acc: 0.703125] [adversarial loss: 1.467057, acc: 0.109375] 25751: [discriminator loss: 0.616735, acc: 0.648438] [adversarial loss: 1.049214, acc: 0.437500] 25752: [discriminator loss: 0.564023, acc: 0.695312] [adversarial loss: 1.196575, acc: 0.265625] 25753: [discriminator loss: 0.538381, acc: 0.750000] [adversarial loss: 1.133518, acc: 0.312500] 25754: [discriminator loss: 0.509866, acc: 0.742188] [adversarial loss: 1.087963, acc: 0.343750] 25755: [discriminator loss: 0.471342, acc: 0.718750] [adversarial loss: 1.230855, acc: 0.218750] 25756: [discriminator loss: 0.512754, acc: 0.695312] [adversarial loss: 1.004080, acc: 0.281250] 25757: [discriminator loss: 0.495755, acc: 0.765625] [adversarial loss: 1.588387, acc: 0.078125] 25758: [discriminator loss: 0.561932, acc: 0.710938] [adversarial loss: 0.759047, acc: 0.546875] 25759: [discriminator loss: 0.557214, acc: 0.664062] [adversarial loss: 1.585737, acc: 0.078125] 25760: [discriminator loss: 0.493509, acc: 0.718750] [adversarial loss: 0.896146, acc: 0.359375] 25761: [discriminator loss: 0.521892, acc: 0.734375] [adversarial loss: 1.831059, acc: 0.078125] 25762: [discriminator loss: 0.585234, acc: 0.710938] [adversarial loss: 0.991405, acc: 0.390625] 25763: [discriminator loss: 0.506974, acc: 0.789062] [adversarial loss: 1.542475, acc: 0.218750] 25764: [discriminator loss: 0.624379, acc: 0.625000] [adversarial loss: 1.006998, acc: 0.375000] 25765: [discriminator loss: 0.592798, acc: 0.679688] [adversarial loss: 1.167345, acc: 0.296875] 25766: [discriminator loss: 0.519374, acc: 0.750000] [adversarial loss: 1.182869, acc: 0.281250] 25767: [discriminator loss: 0.513567, acc: 0.742188] [adversarial loss: 1.259519, acc: 0.265625] 25768: [discriminator loss: 0.554545, acc: 0.664062] [adversarial loss: 1.016923, acc: 0.359375] 25769: [discriminator loss: 0.583370, acc: 0.687500] [adversarial loss: 1.890867, acc: 0.062500] 25770: [discriminator loss: 0.575055, acc: 0.710938] [adversarial loss: 0.953892, acc: 0.437500] 25771: [discriminator loss: 0.626032, acc: 0.679688] [adversarial loss: 1.412407, acc: 0.078125] 25772: [discriminator loss: 0.497803, acc: 0.773438] [adversarial loss: 1.084816, acc: 0.296875] 25773: [discriminator loss: 0.525613, acc: 0.726562] [adversarial loss: 1.317612, acc: 0.234375] 25774: [discriminator loss: 0.502429, acc: 0.750000] [adversarial loss: 1.108299, acc: 0.281250] 25775: [discriminator loss: 0.520304, acc: 0.726562] [adversarial loss: 0.970625, acc: 0.406250] 25776: [discriminator loss: 0.557403, acc: 0.710938] [adversarial loss: 1.389323, acc: 0.140625] 25777: [discriminator loss: 0.506494, acc: 0.734375] [adversarial loss: 0.928483, acc: 0.437500] 25778: [discriminator loss: 0.559545, acc: 0.695312] [adversarial loss: 1.470568, acc: 0.171875] 25779: [discriminator loss: 0.537919, acc: 0.703125] [adversarial loss: 1.084744, acc: 0.234375] 25780: [discriminator loss: 0.534554, acc: 0.687500] [adversarial loss: 1.184046, acc: 0.234375] 25781: [discriminator loss: 0.563467, acc: 0.718750] [adversarial loss: 1.490754, acc: 0.218750] 25782: [discriminator loss: 0.476649, acc: 0.765625] [adversarial loss: 0.864612, acc: 0.468750] 25783: [discriminator loss: 0.536726, acc: 0.765625] [adversarial loss: 1.071468, acc: 0.265625] 25784: [discriminator loss: 0.484950, acc: 0.789062] [adversarial loss: 1.044201, acc: 0.359375] 25785: [discriminator loss: 0.521397, acc: 0.750000] [adversarial loss: 1.540772, acc: 0.109375] 25786: [discriminator loss: 0.618524, acc: 0.632812] [adversarial loss: 0.786245, acc: 0.578125] 25787: [discriminator loss: 0.540308, acc: 0.687500] [adversarial loss: 1.674485, acc: 0.078125] 25788: [discriminator loss: 0.566294, acc: 0.664062] [adversarial loss: 0.774521, acc: 0.531250] 25789: [discriminator loss: 0.527013, acc: 0.750000] [adversarial loss: 1.670820, acc: 0.109375] 25790: [discriminator loss: 0.575848, acc: 0.710938] [adversarial loss: 0.960756, acc: 0.390625] 25791: [discriminator loss: 0.454873, acc: 0.789062] [adversarial loss: 1.189178, acc: 0.203125] 25792: [discriminator loss: 0.429974, acc: 0.859375] [adversarial loss: 1.127816, acc: 0.234375] 25793: [discriminator loss: 0.513558, acc: 0.781250] [adversarial loss: 1.314623, acc: 0.187500] 25794: [discriminator loss: 0.459952, acc: 0.789062] [adversarial loss: 1.245853, acc: 0.203125] 25795: [discriminator loss: 0.496714, acc: 0.750000] [adversarial loss: 1.033464, acc: 0.375000] 25796: [discriminator loss: 0.505577, acc: 0.679688] [adversarial loss: 1.470005, acc: 0.234375] 25797: [discriminator loss: 0.633488, acc: 0.648438] [adversarial loss: 1.097836, acc: 0.421875] 25798: [discriminator loss: 0.535843, acc: 0.671875] [adversarial loss: 1.373405, acc: 0.218750] 25799: [discriminator loss: 0.523311, acc: 0.703125] [adversarial loss: 1.006305, acc: 0.328125] 25800: [discriminator loss: 0.544105, acc: 0.695312] [adversarial loss: 1.580130, acc: 0.078125] 25801: [discriminator loss: 0.544679, acc: 0.750000] [adversarial loss: 1.126211, acc: 0.218750] 25802: [discriminator loss: 0.459955, acc: 0.828125] [adversarial loss: 1.395033, acc: 0.156250] 25803: [discriminator loss: 0.513066, acc: 0.710938] [adversarial loss: 0.944466, acc: 0.421875] 25804: [discriminator loss: 0.537417, acc: 0.750000] [adversarial loss: 1.555313, acc: 0.125000] 25805: [discriminator loss: 0.482919, acc: 0.742188] [adversarial loss: 0.927942, acc: 0.468750] 25806: [discriminator loss: 0.586789, acc: 0.695312] [adversarial loss: 1.520267, acc: 0.093750] 25807: [discriminator loss: 0.586599, acc: 0.703125] [adversarial loss: 0.904155, acc: 0.453125] 25808: [discriminator loss: 0.626835, acc: 0.648438] [adversarial loss: 1.585338, acc: 0.078125] 25809: [discriminator loss: 0.554552, acc: 0.710938] [adversarial loss: 0.982688, acc: 0.406250] 25810: [discriminator loss: 0.545643, acc: 0.750000] [adversarial loss: 1.461310, acc: 0.156250] 25811: [discriminator loss: 0.530625, acc: 0.695312] [adversarial loss: 1.140371, acc: 0.359375] 25812: [discriminator loss: 0.579962, acc: 0.679688] [adversarial loss: 1.474124, acc: 0.109375] 25813: [discriminator loss: 0.565277, acc: 0.703125] [adversarial loss: 1.041758, acc: 0.312500] 25814: [discriminator loss: 0.582702, acc: 0.671875] [adversarial loss: 1.348994, acc: 0.203125] 25815: [discriminator loss: 0.538495, acc: 0.718750] [adversarial loss: 1.051797, acc: 0.375000] 25816: [discriminator loss: 0.512981, acc: 0.750000] [adversarial loss: 1.284572, acc: 0.250000] 25817: [discriminator loss: 0.526912, acc: 0.695312] [adversarial loss: 1.225129, acc: 0.203125] 25818: [discriminator loss: 0.614546, acc: 0.687500] [adversarial loss: 1.322214, acc: 0.218750] 25819: [discriminator loss: 0.553040, acc: 0.726562] [adversarial loss: 1.035063, acc: 0.390625] 25820: [discriminator loss: 0.469409, acc: 0.765625] [adversarial loss: 1.053176, acc: 0.359375] 25821: [discriminator loss: 0.461496, acc: 0.765625] [adversarial loss: 1.664202, acc: 0.093750] 25822: [discriminator loss: 0.574532, acc: 0.695312] [adversarial loss: 0.920526, acc: 0.437500] 25823: [discriminator loss: 0.518554, acc: 0.726562] [adversarial loss: 1.648924, acc: 0.093750] 25824: [discriminator loss: 0.543288, acc: 0.726562] [adversarial loss: 0.949855, acc: 0.437500] 25825: [discriminator loss: 0.533811, acc: 0.710938] [adversarial loss: 1.376584, acc: 0.109375] 25826: [discriminator loss: 0.525167, acc: 0.679688] [adversarial loss: 1.110212, acc: 0.328125] 25827: [discriminator loss: 0.482457, acc: 0.773438] [adversarial loss: 1.582725, acc: 0.187500] 25828: [discriminator loss: 0.529889, acc: 0.679688] [adversarial loss: 1.102681, acc: 0.375000] 25829: [discriminator loss: 0.562714, acc: 0.710938] [adversarial loss: 1.526912, acc: 0.109375] 25830: [discriminator loss: 0.630295, acc: 0.695312] [adversarial loss: 0.851351, acc: 0.390625] 25831: [discriminator loss: 0.546657, acc: 0.710938] [adversarial loss: 1.379970, acc: 0.125000] 25832: [discriminator loss: 0.521572, acc: 0.750000] [adversarial loss: 0.917748, acc: 0.390625] 25833: [discriminator loss: 0.649914, acc: 0.625000] [adversarial loss: 1.637188, acc: 0.109375] 25834: [discriminator loss: 0.579238, acc: 0.695312] [adversarial loss: 0.888880, acc: 0.468750] 25835: [discriminator loss: 0.557253, acc: 0.734375] [adversarial loss: 1.302389, acc: 0.171875] 25836: [discriminator loss: 0.598515, acc: 0.687500] [adversarial loss: 0.976099, acc: 0.375000] 25837: [discriminator loss: 0.494992, acc: 0.765625] [adversarial loss: 1.380487, acc: 0.187500] 25838: [discriminator loss: 0.525422, acc: 0.750000] [adversarial loss: 1.056582, acc: 0.312500] 25839: [discriminator loss: 0.550809, acc: 0.726562] [adversarial loss: 1.544600, acc: 0.109375] 25840: [discriminator loss: 0.565481, acc: 0.679688] [adversarial loss: 1.077178, acc: 0.296875] 25841: [discriminator loss: 0.543367, acc: 0.664062] [adversarial loss: 1.565269, acc: 0.156250] 25842: [discriminator loss: 0.564910, acc: 0.679688] [adversarial loss: 0.938392, acc: 0.421875] 25843: [discriminator loss: 0.516173, acc: 0.726562] [adversarial loss: 1.566273, acc: 0.078125] 25844: [discriminator loss: 0.479710, acc: 0.789062] [adversarial loss: 0.935350, acc: 0.453125] 25845: [discriminator loss: 0.466216, acc: 0.820312] [adversarial loss: 1.368896, acc: 0.187500] 25846: [discriminator loss: 0.542531, acc: 0.718750] [adversarial loss: 1.078572, acc: 0.359375] 25847: [discriminator loss: 0.532244, acc: 0.703125] [adversarial loss: 1.530664, acc: 0.109375] 25848: [discriminator loss: 0.543567, acc: 0.750000] [adversarial loss: 0.788746, acc: 0.531250] 25849: [discriminator loss: 0.540047, acc: 0.703125] [adversarial loss: 1.436372, acc: 0.109375] 25850: [discriminator loss: 0.535977, acc: 0.710938] [adversarial loss: 0.961649, acc: 0.375000] 25851: [discriminator loss: 0.597936, acc: 0.648438] [adversarial loss: 1.160865, acc: 0.187500] 25852: [discriminator loss: 0.405100, acc: 0.812500] [adversarial loss: 0.992644, acc: 0.406250] 25853: [discriminator loss: 0.585010, acc: 0.726562] [adversarial loss: 1.218918, acc: 0.265625] 25854: [discriminator loss: 0.539749, acc: 0.718750] [adversarial loss: 1.218535, acc: 0.234375] 25855: [discriminator loss: 0.458941, acc: 0.789062] [adversarial loss: 1.268238, acc: 0.234375] 25856: [discriminator loss: 0.501645, acc: 0.750000] [adversarial loss: 1.088171, acc: 0.296875] 25857: [discriminator loss: 0.463854, acc: 0.789062] [adversarial loss: 1.643080, acc: 0.140625] 25858: [discriminator loss: 0.550353, acc: 0.703125] [adversarial loss: 0.913765, acc: 0.515625] 25859: [discriminator loss: 0.588005, acc: 0.671875] [adversarial loss: 1.811357, acc: 0.078125] 25860: [discriminator loss: 0.659296, acc: 0.617188] [adversarial loss: 0.912473, acc: 0.468750] 25861: [discriminator loss: 0.597964, acc: 0.671875] [adversarial loss: 1.388431, acc: 0.203125] 25862: [discriminator loss: 0.477661, acc: 0.765625] [adversarial loss: 0.929033, acc: 0.375000] 25863: [discriminator loss: 0.517269, acc: 0.718750] [adversarial loss: 1.815739, acc: 0.062500] 25864: [discriminator loss: 0.542283, acc: 0.718750] [adversarial loss: 0.889977, acc: 0.453125] 25865: [discriminator loss: 0.553893, acc: 0.750000] [adversarial loss: 1.432302, acc: 0.156250] 25866: [discriminator loss: 0.597986, acc: 0.648438] [adversarial loss: 1.074447, acc: 0.296875] 25867: [discriminator loss: 0.572266, acc: 0.742188] [adversarial loss: 1.052531, acc: 0.250000] 25868: [discriminator loss: 0.544949, acc: 0.710938] [adversarial loss: 1.340549, acc: 0.171875] 25869: [discriminator loss: 0.517221, acc: 0.773438] [adversarial loss: 1.015316, acc: 0.328125] 25870: [discriminator loss: 0.478260, acc: 0.773438] [adversarial loss: 1.253877, acc: 0.171875] 25871: [discriminator loss: 0.455072, acc: 0.812500] [adversarial loss: 1.215818, acc: 0.218750] 25872: [discriminator loss: 0.602017, acc: 0.664062] [adversarial loss: 1.280691, acc: 0.234375] 25873: [discriminator loss: 0.565286, acc: 0.679688] [adversarial loss: 1.516135, acc: 0.125000] 25874: [discriminator loss: 0.502722, acc: 0.773438] [adversarial loss: 0.981088, acc: 0.390625] 25875: [discriminator loss: 0.534411, acc: 0.750000] [adversarial loss: 1.354305, acc: 0.203125] 25876: [discriminator loss: 0.524484, acc: 0.757812] [adversarial loss: 1.277803, acc: 0.250000] 25877: [discriminator loss: 0.610143, acc: 0.664062] [adversarial loss: 2.223444, acc: 0.093750] 25878: [discriminator loss: 0.617151, acc: 0.664062] [adversarial loss: 0.684416, acc: 0.515625] 25879: [discriminator loss: 0.647650, acc: 0.664062] [adversarial loss: 1.418166, acc: 0.156250] 25880: [discriminator loss: 0.479543, acc: 0.820312] [adversarial loss: 0.983924, acc: 0.437500] 25881: [discriminator loss: 0.554587, acc: 0.710938] [adversarial loss: 1.399201, acc: 0.125000] 25882: [discriminator loss: 0.625861, acc: 0.625000] [adversarial loss: 0.982706, acc: 0.328125] 25883: [discriminator loss: 0.542311, acc: 0.695312] [adversarial loss: 1.049302, acc: 0.343750] 25884: [discriminator loss: 0.435773, acc: 0.820312] [adversarial loss: 1.284926, acc: 0.218750] 25885: [discriminator loss: 0.540934, acc: 0.750000] [adversarial loss: 1.093730, acc: 0.234375] 25886: [discriminator loss: 0.504783, acc: 0.789062] [adversarial loss: 1.501606, acc: 0.093750] 25887: [discriminator loss: 0.545565, acc: 0.718750] [adversarial loss: 1.063644, acc: 0.296875] 25888: [discriminator loss: 0.565245, acc: 0.640625] [adversarial loss: 1.356019, acc: 0.140625] 25889: [discriminator loss: 0.491611, acc: 0.703125] [adversarial loss: 1.235886, acc: 0.218750] 25890: [discriminator loss: 0.464060, acc: 0.773438] [adversarial loss: 1.322333, acc: 0.203125] 25891: [discriminator loss: 0.535733, acc: 0.742188] [adversarial loss: 1.047267, acc: 0.328125] 25892: [discriminator loss: 0.544767, acc: 0.750000] [adversarial loss: 1.131197, acc: 0.343750] 25893: [discriminator loss: 0.492854, acc: 0.781250] [adversarial loss: 1.350583, acc: 0.218750] 25894: [discriminator loss: 0.509985, acc: 0.710938] [adversarial loss: 0.705807, acc: 0.578125] 25895: [discriminator loss: 0.718196, acc: 0.679688] [adversarial loss: 1.957102, acc: 0.062500] 25896: [discriminator loss: 0.623165, acc: 0.703125] [adversarial loss: 0.787075, acc: 0.484375] 25897: [discriminator loss: 0.507060, acc: 0.742188] [adversarial loss: 1.142222, acc: 0.265625] 25898: [discriminator loss: 0.540025, acc: 0.734375] [adversarial loss: 1.106749, acc: 0.250000] 25899: [discriminator loss: 0.534218, acc: 0.742188] [adversarial loss: 1.322636, acc: 0.203125] 25900: [discriminator loss: 0.537629, acc: 0.710938] [adversarial loss: 0.974079, acc: 0.312500] 25901: [discriminator loss: 0.602640, acc: 0.718750] [adversarial loss: 1.491932, acc: 0.156250] 25902: [discriminator loss: 0.512174, acc: 0.718750] [adversarial loss: 0.948807, acc: 0.359375] 25903: [discriminator loss: 0.538135, acc: 0.765625] [adversarial loss: 1.330408, acc: 0.234375] 25904: [discriminator loss: 0.483538, acc: 0.703125] [adversarial loss: 0.946392, acc: 0.375000] 25905: [discriminator loss: 0.498857, acc: 0.750000] [adversarial loss: 1.346963, acc: 0.203125] 25906: [discriminator loss: 0.468802, acc: 0.781250] [adversarial loss: 0.789225, acc: 0.546875] 25907: [discriminator loss: 0.548718, acc: 0.703125] [adversarial loss: 1.727324, acc: 0.062500] 25908: [discriminator loss: 0.544895, acc: 0.742188] [adversarial loss: 0.969477, acc: 0.421875] 25909: [discriminator loss: 0.540668, acc: 0.703125] [adversarial loss: 1.388886, acc: 0.140625] 25910: [discriminator loss: 0.439709, acc: 0.789062] [adversarial loss: 1.088846, acc: 0.390625] 25911: [discriminator loss: 0.508023, acc: 0.765625] [adversarial loss: 1.352984, acc: 0.218750] 25912: [discriminator loss: 0.502207, acc: 0.734375] [adversarial loss: 1.367810, acc: 0.250000] 25913: [discriminator loss: 0.552799, acc: 0.734375] [adversarial loss: 0.926211, acc: 0.359375] 25914: [discriminator loss: 0.610160, acc: 0.710938] [adversarial loss: 1.628520, acc: 0.140625] 25915: [discriminator loss: 0.636491, acc: 0.640625] [adversarial loss: 0.724382, acc: 0.562500] 25916: [discriminator loss: 0.595796, acc: 0.710938] [adversarial loss: 1.669199, acc: 0.093750] 25917: [discriminator loss: 0.537598, acc: 0.742188] [adversarial loss: 0.828965, acc: 0.500000] 25918: [discriminator loss: 0.570237, acc: 0.710938] [adversarial loss: 1.596557, acc: 0.078125] 25919: [discriminator loss: 0.578086, acc: 0.679688] [adversarial loss: 0.941203, acc: 0.453125] 25920: [discriminator loss: 0.537039, acc: 0.703125] [adversarial loss: 1.330690, acc: 0.156250] 25921: [discriminator loss: 0.578746, acc: 0.671875] [adversarial loss: 0.993629, acc: 0.390625] 25922: [discriminator loss: 0.595544, acc: 0.648438] [adversarial loss: 1.406035, acc: 0.171875] 25923: [discriminator loss: 0.508355, acc: 0.734375] [adversarial loss: 1.127334, acc: 0.265625] 25924: [discriminator loss: 0.502671, acc: 0.742188] [adversarial loss: 0.960301, acc: 0.281250] 25925: [discriminator loss: 0.465565, acc: 0.757812] [adversarial loss: 1.262355, acc: 0.203125] 25926: [discriminator loss: 0.541915, acc: 0.671875] [adversarial loss: 1.048447, acc: 0.312500] 25927: [discriminator loss: 0.513414, acc: 0.718750] [adversarial loss: 1.351808, acc: 0.171875] 25928: [discriminator loss: 0.562068, acc: 0.679688] [adversarial loss: 1.157824, acc: 0.281250] 25929: [discriminator loss: 0.554073, acc: 0.687500] [adversarial loss: 1.465811, acc: 0.187500] 25930: [discriminator loss: 0.571081, acc: 0.679688] [adversarial loss: 1.165188, acc: 0.281250] 25931: [discriminator loss: 0.507528, acc: 0.757812] [adversarial loss: 1.392466, acc: 0.187500] 25932: [discriminator loss: 0.560048, acc: 0.687500] [adversarial loss: 1.121850, acc: 0.390625] 25933: [discriminator loss: 0.550487, acc: 0.703125] [adversarial loss: 1.040579, acc: 0.265625] 25934: [discriminator loss: 0.465531, acc: 0.804688] [adversarial loss: 1.519212, acc: 0.171875] 25935: [discriminator loss: 0.544037, acc: 0.703125] [adversarial loss: 0.930461, acc: 0.437500] 25936: [discriminator loss: 0.479312, acc: 0.734375] [adversarial loss: 1.334033, acc: 0.156250] 25937: [discriminator loss: 0.569155, acc: 0.710938] [adversarial loss: 1.075809, acc: 0.375000] 25938: [discriminator loss: 0.561425, acc: 0.734375] [adversarial loss: 1.397503, acc: 0.187500] 25939: [discriminator loss: 0.580848, acc: 0.664062] [adversarial loss: 1.101836, acc: 0.421875] 25940: [discriminator loss: 0.511111, acc: 0.726562] [adversarial loss: 1.194562, acc: 0.171875] 25941: [discriminator loss: 0.521078, acc: 0.742188] [adversarial loss: 1.327902, acc: 0.125000] 25942: [discriminator loss: 0.489498, acc: 0.726562] [adversarial loss: 0.949982, acc: 0.437500] 25943: [discriminator loss: 0.590083, acc: 0.687500] [adversarial loss: 1.437579, acc: 0.156250] 25944: [discriminator loss: 0.561049, acc: 0.648438] [adversarial loss: 0.810640, acc: 0.437500] 25945: [discriminator loss: 0.526835, acc: 0.757812] [adversarial loss: 1.600961, acc: 0.093750] 25946: [discriminator loss: 0.521005, acc: 0.718750] [adversarial loss: 0.775896, acc: 0.515625] 25947: [discriminator loss: 0.601901, acc: 0.695312] [adversarial loss: 1.349256, acc: 0.187500] 25948: [discriminator loss: 0.544987, acc: 0.671875] [adversarial loss: 0.842347, acc: 0.421875] 25949: [discriminator loss: 0.541747, acc: 0.695312] [adversarial loss: 1.786054, acc: 0.125000] 25950: [discriminator loss: 0.564477, acc: 0.734375] [adversarial loss: 0.981454, acc: 0.328125] 25951: [discriminator loss: 0.503483, acc: 0.757812] [adversarial loss: 1.405360, acc: 0.140625] 25952: [discriminator loss: 0.570082, acc: 0.664062] [adversarial loss: 1.092798, acc: 0.359375] 25953: [discriminator loss: 0.510768, acc: 0.718750] [adversarial loss: 1.248133, acc: 0.281250] 25954: [discriminator loss: 0.514694, acc: 0.765625] [adversarial loss: 1.230227, acc: 0.250000] 25955: [discriminator loss: 0.512685, acc: 0.789062] [adversarial loss: 1.162890, acc: 0.359375] 25956: [discriminator loss: 0.535368, acc: 0.726562] [adversarial loss: 1.620959, acc: 0.062500] 25957: [discriminator loss: 0.560923, acc: 0.710938] [adversarial loss: 0.938388, acc: 0.484375] 25958: [discriminator loss: 0.481951, acc: 0.804688] [adversarial loss: 1.628685, acc: 0.093750] 25959: [discriminator loss: 0.512463, acc: 0.734375] [adversarial loss: 0.786246, acc: 0.500000] 25960: [discriminator loss: 0.575993, acc: 0.671875] [adversarial loss: 1.855607, acc: 0.093750] 25961: [discriminator loss: 0.579876, acc: 0.734375] [adversarial loss: 0.949296, acc: 0.390625] 25962: [discriminator loss: 0.588521, acc: 0.679688] [adversarial loss: 1.479468, acc: 0.187500] 25963: [discriminator loss: 0.532273, acc: 0.726562] [adversarial loss: 0.820549, acc: 0.531250] 25964: [discriminator loss: 0.617756, acc: 0.695312] [adversarial loss: 1.393851, acc: 0.140625] 25965: [discriminator loss: 0.541356, acc: 0.726562] [adversarial loss: 0.969830, acc: 0.421875] 25966: [discriminator loss: 0.546393, acc: 0.679688] [adversarial loss: 1.181703, acc: 0.218750] 25967: [discriminator loss: 0.627946, acc: 0.640625] [adversarial loss: 1.241302, acc: 0.203125] 25968: [discriminator loss: 0.565664, acc: 0.695312] [adversarial loss: 1.361982, acc: 0.203125] 25969: [discriminator loss: 0.533958, acc: 0.703125] [adversarial loss: 1.222611, acc: 0.234375] 25970: [discriminator loss: 0.531319, acc: 0.726562] [adversarial loss: 1.297966, acc: 0.218750] 25971: [discriminator loss: 0.606354, acc: 0.640625] [adversarial loss: 1.098901, acc: 0.234375] 25972: [discriminator loss: 0.515721, acc: 0.726562] [adversarial loss: 1.465834, acc: 0.125000] 25973: [discriminator loss: 0.512832, acc: 0.710938] [adversarial loss: 0.958401, acc: 0.500000] 25974: [discriminator loss: 0.595129, acc: 0.671875] [adversarial loss: 1.215033, acc: 0.187500] 25975: [discriminator loss: 0.554814, acc: 0.703125] [adversarial loss: 1.213082, acc: 0.250000] 25976: [discriminator loss: 0.471078, acc: 0.804688] [adversarial loss: 1.061202, acc: 0.359375] 25977: [discriminator loss: 0.582512, acc: 0.710938] [adversarial loss: 1.637600, acc: 0.093750] 25978: [discriminator loss: 0.579421, acc: 0.648438] [adversarial loss: 0.942283, acc: 0.515625] 25979: [discriminator loss: 0.579929, acc: 0.710938] [adversarial loss: 1.285657, acc: 0.250000] 25980: [discriminator loss: 0.541552, acc: 0.734375] [adversarial loss: 0.887944, acc: 0.375000] 25981: [discriminator loss: 0.553243, acc: 0.710938] [adversarial loss: 1.468285, acc: 0.156250] 25982: [discriminator loss: 0.559100, acc: 0.726562] [adversarial loss: 0.940890, acc: 0.375000] 25983: [discriminator loss: 0.542344, acc: 0.796875] [adversarial loss: 1.541903, acc: 0.093750] 25984: [discriminator loss: 0.558111, acc: 0.664062] [adversarial loss: 0.945916, acc: 0.421875] 25985: [discriminator loss: 0.604131, acc: 0.648438] [adversarial loss: 1.562285, acc: 0.109375] 25986: [discriminator loss: 0.585819, acc: 0.703125] [adversarial loss: 0.818995, acc: 0.453125] 25987: [discriminator loss: 0.607439, acc: 0.695312] [adversarial loss: 1.377077, acc: 0.171875] 25988: [discriminator loss: 0.563526, acc: 0.710938] [adversarial loss: 1.323043, acc: 0.187500] 25989: [discriminator loss: 0.477800, acc: 0.773438] [adversarial loss: 1.217611, acc: 0.250000] 25990: [discriminator loss: 0.465216, acc: 0.804688] [adversarial loss: 1.046633, acc: 0.312500] 25991: [discriminator loss: 0.571412, acc: 0.687500] [adversarial loss: 1.080857, acc: 0.359375] 25992: [discriminator loss: 0.488842, acc: 0.765625] [adversarial loss: 1.128097, acc: 0.265625] 25993: [discriminator loss: 0.492923, acc: 0.765625] [adversarial loss: 1.382493, acc: 0.171875] 25994: [discriminator loss: 0.538726, acc: 0.726562] [adversarial loss: 1.158185, acc: 0.250000] 25995: [discriminator loss: 0.455645, acc: 0.796875] [adversarial loss: 1.308099, acc: 0.171875] 25996: [discriminator loss: 0.537307, acc: 0.734375] [adversarial loss: 0.976838, acc: 0.437500] 25997: [discriminator loss: 0.548017, acc: 0.742188] [adversarial loss: 1.459432, acc: 0.078125] 25998: [discriminator loss: 0.467676, acc: 0.781250] [adversarial loss: 0.953626, acc: 0.453125] 25999: [discriminator loss: 0.464216, acc: 0.828125] [adversarial loss: 1.232821, acc: 0.250000] 26000: [discriminator loss: 0.564734, acc: 0.710938] [adversarial loss: 1.000036, acc: 0.359375] 26001: [discriminator loss: 0.524502, acc: 0.687500] [adversarial loss: 1.003184, acc: 0.312500] 26002: [discriminator loss: 0.458418, acc: 0.789062] [adversarial loss: 1.375250, acc: 0.140625] 26003: [discriminator loss: 0.511678, acc: 0.703125] [adversarial loss: 0.756901, acc: 0.578125] 26004: [discriminator loss: 0.554700, acc: 0.726562] [adversarial loss: 1.254761, acc: 0.234375] 26005: [discriminator loss: 0.593385, acc: 0.640625] [adversarial loss: 0.833306, acc: 0.468750] 26006: [discriminator loss: 0.528193, acc: 0.718750] [adversarial loss: 1.316396, acc: 0.171875] 26007: [discriminator loss: 0.613278, acc: 0.632812] [adversarial loss: 1.020088, acc: 0.343750] 26008: [discriminator loss: 0.574007, acc: 0.718750] [adversarial loss: 1.707191, acc: 0.078125] 26009: [discriminator loss: 0.536527, acc: 0.710938] [adversarial loss: 1.047638, acc: 0.328125] 26010: [discriminator loss: 0.564392, acc: 0.687500] [adversarial loss: 1.844934, acc: 0.046875] 26011: [discriminator loss: 0.561586, acc: 0.734375] [adversarial loss: 0.905386, acc: 0.421875] 26012: [discriminator loss: 0.593675, acc: 0.687500] [adversarial loss: 1.491560, acc: 0.093750] 26013: [discriminator loss: 0.601035, acc: 0.648438] [adversarial loss: 1.167431, acc: 0.312500] 26014: [discriminator loss: 0.520372, acc: 0.726562] [adversarial loss: 1.314687, acc: 0.234375] 26015: [discriminator loss: 0.607029, acc: 0.656250] [adversarial loss: 1.119388, acc: 0.312500] 26016: [discriminator loss: 0.493617, acc: 0.757812] [adversarial loss: 1.227261, acc: 0.250000] 26017: [discriminator loss: 0.538877, acc: 0.742188] [adversarial loss: 0.854368, acc: 0.375000] 26018: [discriminator loss: 0.525505, acc: 0.742188] [adversarial loss: 1.454973, acc: 0.171875] 26019: [discriminator loss: 0.563841, acc: 0.695312] [adversarial loss: 1.054812, acc: 0.312500] 26020: [discriminator loss: 0.572728, acc: 0.718750] [adversarial loss: 1.428380, acc: 0.125000] 26021: [discriminator loss: 0.532963, acc: 0.718750] [adversarial loss: 1.046928, acc: 0.375000] 26022: [discriminator loss: 0.530573, acc: 0.765625] [adversarial loss: 1.371986, acc: 0.281250] 26023: [discriminator loss: 0.604830, acc: 0.703125] [adversarial loss: 1.289819, acc: 0.250000] 26024: [discriminator loss: 0.499789, acc: 0.796875] [adversarial loss: 1.085451, acc: 0.343750] 26025: [discriminator loss: 0.583600, acc: 0.710938] [adversarial loss: 1.567509, acc: 0.109375] 26026: [discriminator loss: 0.587099, acc: 0.703125] [adversarial loss: 1.078386, acc: 0.343750] 26027: [discriminator loss: 0.489806, acc: 0.742188] [adversarial loss: 1.542194, acc: 0.187500] 26028: [discriminator loss: 0.573346, acc: 0.687500] [adversarial loss: 0.901924, acc: 0.421875] 26029: [discriminator loss: 0.474985, acc: 0.773438] [adversarial loss: 1.320405, acc: 0.250000] 26030: [discriminator loss: 0.518719, acc: 0.695312] [adversarial loss: 0.837598, acc: 0.468750] 26031: [discriminator loss: 0.577792, acc: 0.671875] [adversarial loss: 1.869102, acc: 0.093750] 26032: [discriminator loss: 0.558338, acc: 0.703125] [adversarial loss: 0.820440, acc: 0.484375] 26033: [discriminator loss: 0.543041, acc: 0.687500] [adversarial loss: 1.332886, acc: 0.187500] 26034: [discriminator loss: 0.575756, acc: 0.648438] [adversarial loss: 0.973648, acc: 0.375000] 26035: [discriminator loss: 0.553360, acc: 0.726562] [adversarial loss: 1.591923, acc: 0.093750] 26036: [discriminator loss: 0.537802, acc: 0.710938] [adversarial loss: 0.853737, acc: 0.500000] 26037: [discriminator loss: 0.561428, acc: 0.695312] [adversarial loss: 1.543460, acc: 0.187500] 26038: [discriminator loss: 0.520390, acc: 0.742188] [adversarial loss: 1.051635, acc: 0.421875] 26039: [discriminator loss: 0.575972, acc: 0.703125] [adversarial loss: 1.393483, acc: 0.156250] 26040: [discriminator loss: 0.518249, acc: 0.742188] [adversarial loss: 1.356346, acc: 0.187500] 26041: [discriminator loss: 0.523854, acc: 0.703125] [adversarial loss: 1.186987, acc: 0.250000] 26042: [discriminator loss: 0.534985, acc: 0.757812] [adversarial loss: 1.290533, acc: 0.203125] 26043: [discriminator loss: 0.534962, acc: 0.750000] [adversarial loss: 0.897448, acc: 0.421875] 26044: [discriminator loss: 0.479975, acc: 0.789062] [adversarial loss: 1.477886, acc: 0.156250] 26045: [discriminator loss: 0.543684, acc: 0.703125] [adversarial loss: 1.050688, acc: 0.421875] 26046: [discriminator loss: 0.448176, acc: 0.835938] [adversarial loss: 1.220382, acc: 0.234375] 26047: [discriminator loss: 0.531250, acc: 0.750000] [adversarial loss: 1.079739, acc: 0.328125] 26048: [discriminator loss: 0.482245, acc: 0.789062] [adversarial loss: 0.989761, acc: 0.437500] 26049: [discriminator loss: 0.531338, acc: 0.695312] [adversarial loss: 1.517129, acc: 0.187500] 26050: [discriminator loss: 0.547229, acc: 0.742188] [adversarial loss: 1.009360, acc: 0.390625] 26051: [discriminator loss: 0.537510, acc: 0.726562] [adversarial loss: 1.771038, acc: 0.171875] 26052: [discriminator loss: 0.508801, acc: 0.781250] [adversarial loss: 1.030739, acc: 0.328125] 26053: [discriminator loss: 0.513936, acc: 0.734375] [adversarial loss: 1.288908, acc: 0.250000] 26054: [discriminator loss: 0.446607, acc: 0.757812] [adversarial loss: 1.031486, acc: 0.281250] 26055: [discriminator loss: 0.556183, acc: 0.710938] [adversarial loss: 1.170006, acc: 0.296875] 26056: [discriminator loss: 0.483998, acc: 0.757812] [adversarial loss: 1.300342, acc: 0.234375] 26057: [discriminator loss: 0.495167, acc: 0.750000] [adversarial loss: 1.094635, acc: 0.406250] 26058: [discriminator loss: 0.476084, acc: 0.765625] [adversarial loss: 1.412651, acc: 0.265625] 26059: [discriminator loss: 0.422212, acc: 0.812500] [adversarial loss: 1.134558, acc: 0.328125] 26060: [discriminator loss: 0.571873, acc: 0.750000] [adversarial loss: 1.208055, acc: 0.203125] 26061: [discriminator loss: 0.487471, acc: 0.773438] [adversarial loss: 1.290900, acc: 0.312500] 26062: [discriminator loss: 0.604697, acc: 0.640625] [adversarial loss: 1.153538, acc: 0.296875] 26063: [discriminator loss: 0.612154, acc: 0.679688] [adversarial loss: 1.918082, acc: 0.031250] 26064: [discriminator loss: 0.661675, acc: 0.648438] [adversarial loss: 0.898706, acc: 0.484375] 26065: [discriminator loss: 0.560818, acc: 0.703125] [adversarial loss: 1.516815, acc: 0.156250] 26066: [discriminator loss: 0.534463, acc: 0.734375] [adversarial loss: 0.888239, acc: 0.437500] 26067: [discriminator loss: 0.528970, acc: 0.718750] [adversarial loss: 1.584544, acc: 0.125000] 26068: [discriminator loss: 0.512612, acc: 0.718750] [adversarial loss: 0.939149, acc: 0.406250] 26069: [discriminator loss: 0.609200, acc: 0.679688] [adversarial loss: 1.277743, acc: 0.265625] 26070: [discriminator loss: 0.553729, acc: 0.710938] [adversarial loss: 1.022835, acc: 0.343750] 26071: [discriminator loss: 0.528904, acc: 0.710938] [adversarial loss: 1.272084, acc: 0.250000] 26072: [discriminator loss: 0.512941, acc: 0.750000] [adversarial loss: 1.125230, acc: 0.296875] 26073: [discriminator loss: 0.529774, acc: 0.742188] [adversarial loss: 1.311049, acc: 0.156250] 26074: [discriminator loss: 0.543569, acc: 0.671875] [adversarial loss: 0.802797, acc: 0.546875] 26075: [discriminator loss: 0.472809, acc: 0.781250] [adversarial loss: 1.326028, acc: 0.093750] 26076: [discriminator loss: 0.534994, acc: 0.703125] [adversarial loss: 0.966679, acc: 0.421875] 26077: [discriminator loss: 0.599935, acc: 0.671875] [adversarial loss: 1.555266, acc: 0.203125] 26078: [discriminator loss: 0.590467, acc: 0.695312] [adversarial loss: 0.796066, acc: 0.515625] 26079: [discriminator loss: 0.523304, acc: 0.742188] [adversarial loss: 1.112600, acc: 0.421875] 26080: [discriminator loss: 0.538110, acc: 0.734375] [adversarial loss: 1.082048, acc: 0.328125] 26081: [discriminator loss: 0.507743, acc: 0.734375] [adversarial loss: 1.322446, acc: 0.140625] 26082: [discriminator loss: 0.513927, acc: 0.679688] [adversarial loss: 0.883173, acc: 0.546875] 26083: [discriminator loss: 0.489153, acc: 0.781250] [adversarial loss: 1.233576, acc: 0.187500] 26084: [discriminator loss: 0.521575, acc: 0.710938] [adversarial loss: 1.060512, acc: 0.296875] 26085: [discriminator loss: 0.497127, acc: 0.742188] [adversarial loss: 1.498716, acc: 0.203125] 26086: [discriminator loss: 0.489265, acc: 0.773438] [adversarial loss: 1.029872, acc: 0.359375] 26087: [discriminator loss: 0.488923, acc: 0.750000] [adversarial loss: 1.198662, acc: 0.203125] 26088: [discriminator loss: 0.487599, acc: 0.734375] [adversarial loss: 1.485644, acc: 0.109375] 26089: [discriminator loss: 0.564810, acc: 0.671875] [adversarial loss: 0.948036, acc: 0.406250] 26090: [discriminator loss: 0.521572, acc: 0.773438] [adversarial loss: 1.490629, acc: 0.140625] 26091: [discriminator loss: 0.554933, acc: 0.695312] [adversarial loss: 0.972470, acc: 0.421875] 26092: [discriminator loss: 0.513330, acc: 0.710938] [adversarial loss: 1.198161, acc: 0.343750] 26093: [discriminator loss: 0.542828, acc: 0.710938] [adversarial loss: 0.902206, acc: 0.484375] 26094: [discriminator loss: 0.528961, acc: 0.734375] [adversarial loss: 1.885344, acc: 0.046875] 26095: [discriminator loss: 0.537297, acc: 0.687500] [adversarial loss: 0.781944, acc: 0.500000] 26096: [discriminator loss: 0.610173, acc: 0.671875] [adversarial loss: 1.810273, acc: 0.031250] 26097: [discriminator loss: 0.583420, acc: 0.687500] [adversarial loss: 1.094019, acc: 0.312500] 26098: [discriminator loss: 0.498977, acc: 0.757812] [adversarial loss: 1.296052, acc: 0.171875] 26099: [discriminator loss: 0.498437, acc: 0.734375] [adversarial loss: 1.262141, acc: 0.203125] 26100: [discriminator loss: 0.454805, acc: 0.835938] [adversarial loss: 1.244182, acc: 0.171875] 26101: [discriminator loss: 0.527694, acc: 0.734375] [adversarial loss: 1.095958, acc: 0.328125] 26102: [discriminator loss: 0.513594, acc: 0.742188] [adversarial loss: 1.298462, acc: 0.234375] 26103: [discriminator loss: 0.497057, acc: 0.750000] [adversarial loss: 1.154967, acc: 0.312500] 26104: [discriminator loss: 0.498263, acc: 0.734375] [adversarial loss: 1.332592, acc: 0.250000] 26105: [discriminator loss: 0.517637, acc: 0.710938] [adversarial loss: 1.016407, acc: 0.265625] 26106: [discriminator loss: 0.595254, acc: 0.703125] [adversarial loss: 1.741991, acc: 0.125000] 26107: [discriminator loss: 0.627513, acc: 0.640625] [adversarial loss: 0.762246, acc: 0.531250] 26108: [discriminator loss: 0.600785, acc: 0.679688] [adversarial loss: 1.557634, acc: 0.125000] 26109: [discriminator loss: 0.577236, acc: 0.695312] [adversarial loss: 1.070557, acc: 0.312500] 26110: [discriminator loss: 0.686585, acc: 0.648438] [adversarial loss: 1.467857, acc: 0.125000] 26111: [discriminator loss: 0.545263, acc: 0.695312] [adversarial loss: 1.104665, acc: 0.203125] 26112: [discriminator loss: 0.509841, acc: 0.750000] [adversarial loss: 1.371017, acc: 0.187500] 26113: [discriminator loss: 0.494427, acc: 0.742188] [adversarial loss: 0.965628, acc: 0.375000] 26114: [discriminator loss: 0.598986, acc: 0.671875] [adversarial loss: 1.399385, acc: 0.171875] 26115: [discriminator loss: 0.526060, acc: 0.742188] [adversarial loss: 1.034579, acc: 0.281250] 26116: [discriminator loss: 0.472132, acc: 0.750000] [adversarial loss: 1.003429, acc: 0.390625] 26117: [discriminator loss: 0.530567, acc: 0.710938] [adversarial loss: 1.270929, acc: 0.218750] 26118: [discriminator loss: 0.466197, acc: 0.820312] [adversarial loss: 1.198868, acc: 0.187500] 26119: [discriminator loss: 0.593530, acc: 0.679688] [adversarial loss: 1.242745, acc: 0.218750] 26120: [discriminator loss: 0.558045, acc: 0.703125] [adversarial loss: 0.868530, acc: 0.421875] 26121: [discriminator loss: 0.646036, acc: 0.664062] [adversarial loss: 1.626133, acc: 0.109375] 26122: [discriminator loss: 0.544867, acc: 0.750000] [adversarial loss: 1.114742, acc: 0.312500] 26123: [discriminator loss: 0.522477, acc: 0.695312] [adversarial loss: 1.451206, acc: 0.125000] 26124: [discriminator loss: 0.471448, acc: 0.765625] [adversarial loss: 1.243057, acc: 0.250000] 26125: [discriminator loss: 0.565591, acc: 0.679688] [adversarial loss: 1.556279, acc: 0.125000] 26126: [discriminator loss: 0.573970, acc: 0.664062] [adversarial loss: 1.010346, acc: 0.359375] 26127: [discriminator loss: 0.507945, acc: 0.757812] [adversarial loss: 1.151866, acc: 0.250000] 26128: [discriminator loss: 0.472876, acc: 0.781250] [adversarial loss: 1.003892, acc: 0.375000] 26129: [discriminator loss: 0.477842, acc: 0.789062] [adversarial loss: 1.467033, acc: 0.156250] 26130: [discriminator loss: 0.514397, acc: 0.757812] [adversarial loss: 1.035130, acc: 0.359375] 26131: [discriminator loss: 0.577605, acc: 0.718750] [adversarial loss: 1.635212, acc: 0.109375] 26132: [discriminator loss: 0.544293, acc: 0.710938] [adversarial loss: 0.719907, acc: 0.578125] 26133: [discriminator loss: 0.535716, acc: 0.703125] [adversarial loss: 1.931813, acc: 0.046875] 26134: [discriminator loss: 0.669609, acc: 0.625000] [adversarial loss: 0.866847, acc: 0.390625] 26135: [discriminator loss: 0.573647, acc: 0.695312] [adversarial loss: 1.609081, acc: 0.093750] 26136: [discriminator loss: 0.499383, acc: 0.734375] [adversarial loss: 1.063780, acc: 0.437500] 26137: [discriminator loss: 0.487830, acc: 0.750000] [adversarial loss: 1.458347, acc: 0.203125] 26138: [discriminator loss: 0.503802, acc: 0.710938] [adversarial loss: 0.936678, acc: 0.453125] 26139: [discriminator loss: 0.557400, acc: 0.695312] [adversarial loss: 1.800584, acc: 0.140625] 26140: [discriminator loss: 0.552041, acc: 0.734375] [adversarial loss: 0.995306, acc: 0.406250] 26141: [discriminator loss: 0.481422, acc: 0.750000] [adversarial loss: 1.342721, acc: 0.187500] 26142: [discriminator loss: 0.532810, acc: 0.703125] [adversarial loss: 1.124856, acc: 0.328125] 26143: [discriminator loss: 0.474104, acc: 0.789062] [adversarial loss: 1.047945, acc: 0.359375] 26144: [discriminator loss: 0.546054, acc: 0.710938] [adversarial loss: 1.083447, acc: 0.250000] 26145: [discriminator loss: 0.487088, acc: 0.789062] [adversarial loss: 1.264447, acc: 0.250000] 26146: [discriminator loss: 0.543383, acc: 0.695312] [adversarial loss: 1.453188, acc: 0.203125] 26147: [discriminator loss: 0.517343, acc: 0.695312] [adversarial loss: 1.155263, acc: 0.265625] 26148: [discriminator loss: 0.545430, acc: 0.750000] [adversarial loss: 1.402103, acc: 0.203125] 26149: [discriminator loss: 0.515446, acc: 0.734375] [adversarial loss: 1.070406, acc: 0.312500] 26150: [discriminator loss: 0.550813, acc: 0.695312] [adversarial loss: 1.603175, acc: 0.078125] 26151: [discriminator loss: 0.572789, acc: 0.671875] [adversarial loss: 0.913924, acc: 0.453125] 26152: [discriminator loss: 0.570918, acc: 0.695312] [adversarial loss: 1.519431, acc: 0.140625] 26153: [discriminator loss: 0.569453, acc: 0.710938] [adversarial loss: 0.970893, acc: 0.343750] 26154: [discriminator loss: 0.581200, acc: 0.687500] [adversarial loss: 1.464827, acc: 0.156250] 26155: [discriminator loss: 0.591206, acc: 0.656250] [adversarial loss: 1.021237, acc: 0.375000] 26156: [discriminator loss: 0.551782, acc: 0.726562] [adversarial loss: 1.396315, acc: 0.203125] 26157: [discriminator loss: 0.523288, acc: 0.750000] [adversarial loss: 1.202022, acc: 0.265625] 26158: [discriminator loss: 0.479734, acc: 0.820312] [adversarial loss: 1.387891, acc: 0.140625] 26159: [discriminator loss: 0.500486, acc: 0.773438] [adversarial loss: 1.328240, acc: 0.234375] 26160: [discriminator loss: 0.543159, acc: 0.710938] [adversarial loss: 1.483189, acc: 0.125000] 26161: [discriminator loss: 0.555956, acc: 0.695312] [adversarial loss: 1.109264, acc: 0.328125] 26162: [discriminator loss: 0.514595, acc: 0.726562] [adversarial loss: 1.336832, acc: 0.187500] 26163: [discriminator loss: 0.541292, acc: 0.742188] [adversarial loss: 0.870757, acc: 0.437500] 26164: [discriminator loss: 0.599338, acc: 0.687500] [adversarial loss: 1.608146, acc: 0.109375] 26165: [discriminator loss: 0.565025, acc: 0.695312] [adversarial loss: 1.035529, acc: 0.406250] 26166: [discriminator loss: 0.585446, acc: 0.679688] [adversarial loss: 1.744483, acc: 0.046875] 26167: [discriminator loss: 0.533572, acc: 0.703125] [adversarial loss: 1.241447, acc: 0.281250] 26168: [discriminator loss: 0.534990, acc: 0.718750] [adversarial loss: 1.264534, acc: 0.265625] 26169: [discriminator loss: 0.535117, acc: 0.687500] [adversarial loss: 0.838244, acc: 0.515625] 26170: [discriminator loss: 0.572842, acc: 0.664062] [adversarial loss: 1.553081, acc: 0.125000] 26171: [discriminator loss: 0.531124, acc: 0.703125] [adversarial loss: 1.093894, acc: 0.359375] 26172: [discriminator loss: 0.516032, acc: 0.750000] [adversarial loss: 1.613317, acc: 0.125000] 26173: [discriminator loss: 0.563281, acc: 0.656250] [adversarial loss: 0.846794, acc: 0.468750] 26174: [discriminator loss: 0.566010, acc: 0.656250] [adversarial loss: 1.498537, acc: 0.187500] 26175: [discriminator loss: 0.577193, acc: 0.671875] [adversarial loss: 0.952201, acc: 0.375000] 26176: [discriminator loss: 0.525371, acc: 0.765625] [adversarial loss: 1.588129, acc: 0.093750] 26177: [discriminator loss: 0.505462, acc: 0.757812] [adversarial loss: 0.960033, acc: 0.343750] 26178: [discriminator loss: 0.471321, acc: 0.773438] [adversarial loss: 1.361264, acc: 0.187500] 26179: [discriminator loss: 0.574590, acc: 0.718750] [adversarial loss: 1.366055, acc: 0.218750] 26180: [discriminator loss: 0.527495, acc: 0.710938] [adversarial loss: 0.961955, acc: 0.390625] 26181: [discriminator loss: 0.533743, acc: 0.757812] [adversarial loss: 0.936515, acc: 0.359375] 26182: [discriminator loss: 0.610300, acc: 0.656250] [adversarial loss: 1.494999, acc: 0.125000] 26183: [discriminator loss: 0.500066, acc: 0.726562] [adversarial loss: 0.820775, acc: 0.546875] 26184: [discriminator loss: 0.629233, acc: 0.687500] [adversarial loss: 1.747461, acc: 0.078125] 26185: [discriminator loss: 0.555518, acc: 0.671875] [adversarial loss: 0.726676, acc: 0.625000] 26186: [discriminator loss: 0.539353, acc: 0.734375] [adversarial loss: 1.210071, acc: 0.171875] 26187: [discriminator loss: 0.503083, acc: 0.734375] [adversarial loss: 1.391090, acc: 0.140625] 26188: [discriminator loss: 0.537613, acc: 0.742188] [adversarial loss: 1.212677, acc: 0.296875] 26189: [discriminator loss: 0.576078, acc: 0.710938] [adversarial loss: 1.520950, acc: 0.109375] 26190: [discriminator loss: 0.544129, acc: 0.750000] [adversarial loss: 1.126935, acc: 0.328125] 26191: [discriminator loss: 0.586684, acc: 0.695312] [adversarial loss: 1.229335, acc: 0.234375] 26192: [discriminator loss: 0.488562, acc: 0.773438] [adversarial loss: 1.135700, acc: 0.312500] 26193: [discriminator loss: 0.576205, acc: 0.734375] [adversarial loss: 1.300982, acc: 0.265625] 26194: [discriminator loss: 0.463256, acc: 0.781250] [adversarial loss: 1.418181, acc: 0.203125] 26195: [discriminator loss: 0.553707, acc: 0.671875] [adversarial loss: 0.805813, acc: 0.546875] 26196: [discriminator loss: 0.534553, acc: 0.718750] [adversarial loss: 1.627647, acc: 0.187500] 26197: [discriminator loss: 0.616542, acc: 0.664062] [adversarial loss: 1.138686, acc: 0.234375] 26198: [discriminator loss: 0.546185, acc: 0.664062] [adversarial loss: 1.291049, acc: 0.218750] 26199: [discriminator loss: 0.530897, acc: 0.757812] [adversarial loss: 1.334278, acc: 0.218750] 26200: [discriminator loss: 0.535601, acc: 0.750000] [adversarial loss: 1.071547, acc: 0.359375] 26201: [discriminator loss: 0.522341, acc: 0.757812] [adversarial loss: 1.455327, acc: 0.187500] 26202: [discriminator loss: 0.509808, acc: 0.734375] [adversarial loss: 1.156970, acc: 0.406250] 26203: [discriminator loss: 0.550726, acc: 0.750000] [adversarial loss: 1.321452, acc: 0.234375] 26204: [discriminator loss: 0.570489, acc: 0.640625] [adversarial loss: 1.227640, acc: 0.250000] 26205: [discriminator loss: 0.578823, acc: 0.703125] [adversarial loss: 1.509888, acc: 0.109375] 26206: [discriminator loss: 0.568861, acc: 0.656250] [adversarial loss: 0.789151, acc: 0.500000] 26207: [discriminator loss: 0.595065, acc: 0.679688] [adversarial loss: 1.646755, acc: 0.062500] 26208: [discriminator loss: 0.538462, acc: 0.718750] [adversarial loss: 0.977372, acc: 0.359375] 26209: [discriminator loss: 0.480830, acc: 0.750000] [adversarial loss: 1.481856, acc: 0.140625] 26210: [discriminator loss: 0.612435, acc: 0.609375] [adversarial loss: 1.186464, acc: 0.187500] 26211: [discriminator loss: 0.646126, acc: 0.593750] [adversarial loss: 1.342423, acc: 0.218750] 26212: [discriminator loss: 0.592482, acc: 0.656250] [adversarial loss: 1.044435, acc: 0.281250] 26213: [discriminator loss: 0.545644, acc: 0.718750] [adversarial loss: 1.092322, acc: 0.187500] 26214: [discriminator loss: 0.520714, acc: 0.734375] [adversarial loss: 1.192351, acc: 0.328125] 26215: [discriminator loss: 0.497678, acc: 0.765625] [adversarial loss: 1.524822, acc: 0.140625] 26216: [discriminator loss: 0.486061, acc: 0.710938] [adversarial loss: 0.881999, acc: 0.453125] 26217: [discriminator loss: 0.552750, acc: 0.726562] [adversarial loss: 1.273464, acc: 0.265625] 26218: [discriminator loss: 0.510710, acc: 0.750000] [adversarial loss: 1.003240, acc: 0.390625] 26219: [discriminator loss: 0.537938, acc: 0.710938] [adversarial loss: 1.639080, acc: 0.187500] 26220: [discriminator loss: 0.512782, acc: 0.742188] [adversarial loss: 0.712927, acc: 0.546875] 26221: [discriminator loss: 0.537533, acc: 0.757812] [adversarial loss: 1.572209, acc: 0.125000] 26222: [discriminator loss: 0.670252, acc: 0.625000] [adversarial loss: 0.897686, acc: 0.312500] 26223: [discriminator loss: 0.598386, acc: 0.679688] [adversarial loss: 1.534749, acc: 0.140625] 26224: [discriminator loss: 0.567974, acc: 0.726562] [adversarial loss: 1.164208, acc: 0.187500] 26225: [discriminator loss: 0.543438, acc: 0.742188] [adversarial loss: 1.300073, acc: 0.187500] 26226: [discriminator loss: 0.497914, acc: 0.757812] [adversarial loss: 1.492224, acc: 0.171875] 26227: [discriminator loss: 0.545022, acc: 0.734375] [adversarial loss: 1.221846, acc: 0.250000] 26228: [discriminator loss: 0.488336, acc: 0.773438] [adversarial loss: 1.065030, acc: 0.343750] 26229: [discriminator loss: 0.470223, acc: 0.789062] [adversarial loss: 1.529106, acc: 0.125000] 26230: [discriminator loss: 0.481624, acc: 0.757812] [adversarial loss: 1.050342, acc: 0.375000] 26231: [discriminator loss: 0.582650, acc: 0.679688] [adversarial loss: 1.492591, acc: 0.109375] 26232: [discriminator loss: 0.459403, acc: 0.742188] [adversarial loss: 1.065228, acc: 0.406250] 26233: [discriminator loss: 0.528408, acc: 0.734375] [adversarial loss: 1.380325, acc: 0.187500] 26234: [discriminator loss: 0.500332, acc: 0.710938] [adversarial loss: 1.371163, acc: 0.187500] 26235: [discriminator loss: 0.506997, acc: 0.757812] [adversarial loss: 1.113212, acc: 0.406250] 26236: [discriminator loss: 0.478952, acc: 0.750000] [adversarial loss: 1.443054, acc: 0.203125] 26237: [discriminator loss: 0.501688, acc: 0.757812] [adversarial loss: 1.508870, acc: 0.203125] 26238: [discriminator loss: 0.558107, acc: 0.671875] [adversarial loss: 0.861983, acc: 0.421875] 26239: [discriminator loss: 0.574762, acc: 0.687500] [adversarial loss: 1.532379, acc: 0.125000] 26240: [discriminator loss: 0.510330, acc: 0.710938] [adversarial loss: 0.967690, acc: 0.421875] 26241: [discriminator loss: 0.475470, acc: 0.750000] [adversarial loss: 1.486893, acc: 0.140625] 26242: [discriminator loss: 0.511347, acc: 0.687500] [adversarial loss: 0.723325, acc: 0.593750] 26243: [discriminator loss: 0.472423, acc: 0.757812] [adversarial loss: 1.690940, acc: 0.109375] 26244: [discriminator loss: 0.495604, acc: 0.734375] [adversarial loss: 0.664629, acc: 0.609375] 26245: [discriminator loss: 0.637000, acc: 0.640625] [adversarial loss: 1.397412, acc: 0.203125] 26246: [discriminator loss: 0.520427, acc: 0.742188] [adversarial loss: 0.899847, acc: 0.421875] 26247: [discriminator loss: 0.530468, acc: 0.726562] [adversarial loss: 1.537519, acc: 0.125000] 26248: [discriminator loss: 0.536935, acc: 0.718750] [adversarial loss: 1.056216, acc: 0.375000] 26249: [discriminator loss: 0.428518, acc: 0.789062] [adversarial loss: 1.552075, acc: 0.218750] 26250: [discriminator loss: 0.578249, acc: 0.710938] [adversarial loss: 1.218032, acc: 0.250000] 26251: [discriminator loss: 0.476962, acc: 0.773438] [adversarial loss: 1.532429, acc: 0.156250] 26252: [discriminator loss: 0.524152, acc: 0.726562] [adversarial loss: 1.276255, acc: 0.312500] 26253: [discriminator loss: 0.669860, acc: 0.648438] [adversarial loss: 1.350262, acc: 0.218750] 26254: [discriminator loss: 0.550916, acc: 0.718750] [adversarial loss: 1.225985, acc: 0.218750] 26255: [discriminator loss: 0.564157, acc: 0.656250] [adversarial loss: 1.220471, acc: 0.218750] 26256: [discriminator loss: 0.505581, acc: 0.750000] [adversarial loss: 1.317062, acc: 0.281250] 26257: [discriminator loss: 0.458885, acc: 0.812500] [adversarial loss: 1.111585, acc: 0.328125] 26258: [discriminator loss: 0.555547, acc: 0.703125] [adversarial loss: 1.275212, acc: 0.218750] 26259: [discriminator loss: 0.550186, acc: 0.734375] [adversarial loss: 0.938497, acc: 0.437500] 26260: [discriminator loss: 0.494656, acc: 0.789062] [adversarial loss: 1.550475, acc: 0.125000] 26261: [discriminator loss: 0.469152, acc: 0.750000] [adversarial loss: 0.894280, acc: 0.484375] 26262: [discriminator loss: 0.573810, acc: 0.687500] [adversarial loss: 1.833518, acc: 0.125000] 26263: [discriminator loss: 0.619227, acc: 0.679688] [adversarial loss: 0.873375, acc: 0.406250] 26264: [discriminator loss: 0.552310, acc: 0.726562] [adversarial loss: 1.580586, acc: 0.140625] 26265: [discriminator loss: 0.513107, acc: 0.734375] [adversarial loss: 1.328269, acc: 0.250000] 26266: [discriminator loss: 0.587143, acc: 0.656250] [adversarial loss: 2.009895, acc: 0.031250] 26267: [discriminator loss: 0.646480, acc: 0.703125] [adversarial loss: 0.997982, acc: 0.375000] 26268: [discriminator loss: 0.624590, acc: 0.671875] [adversarial loss: 1.579700, acc: 0.109375] 26269: [discriminator loss: 0.521681, acc: 0.718750] [adversarial loss: 1.070065, acc: 0.250000] 26270: [discriminator loss: 0.487303, acc: 0.710938] [adversarial loss: 1.394905, acc: 0.093750] 26271: [discriminator loss: 0.554544, acc: 0.671875] [adversarial loss: 1.130313, acc: 0.265625] 26272: [discriminator loss: 0.541220, acc: 0.703125] [adversarial loss: 1.478722, acc: 0.109375] 26273: [discriminator loss: 0.496668, acc: 0.734375] [adversarial loss: 0.992249, acc: 0.390625] 26274: [discriminator loss: 0.592726, acc: 0.726562] [adversarial loss: 1.309908, acc: 0.234375] 26275: [discriminator loss: 0.498201, acc: 0.710938] [adversarial loss: 0.932387, acc: 0.484375] 26276: [discriminator loss: 0.629621, acc: 0.601562] [adversarial loss: 1.527510, acc: 0.156250] 26277: [discriminator loss: 0.571200, acc: 0.734375] [adversarial loss: 1.068505, acc: 0.421875] 26278: [discriminator loss: 0.493631, acc: 0.773438] [adversarial loss: 1.292343, acc: 0.187500] 26279: [discriminator loss: 0.465002, acc: 0.804688] [adversarial loss: 1.081040, acc: 0.296875] 26280: [discriminator loss: 0.528751, acc: 0.687500] [adversarial loss: 1.582361, acc: 0.093750] 26281: [discriminator loss: 0.507498, acc: 0.687500] [adversarial loss: 0.883993, acc: 0.453125] 26282: [discriminator loss: 0.548019, acc: 0.703125] [adversarial loss: 1.437306, acc: 0.140625] 26283: [discriminator loss: 0.501013, acc: 0.742188] [adversarial loss: 1.242369, acc: 0.234375] 26284: [discriminator loss: 0.620398, acc: 0.625000] [adversarial loss: 1.033011, acc: 0.281250] 26285: [discriminator loss: 0.583414, acc: 0.679688] [adversarial loss: 1.248380, acc: 0.203125] 26286: [discriminator loss: 0.524427, acc: 0.710938] [adversarial loss: 1.262809, acc: 0.218750] 26287: [discriminator loss: 0.533133, acc: 0.726562] [adversarial loss: 1.082216, acc: 0.296875] 26288: [discriminator loss: 0.585601, acc: 0.656250] [adversarial loss: 1.554553, acc: 0.046875] 26289: [discriminator loss: 0.521085, acc: 0.726562] [adversarial loss: 0.862069, acc: 0.406250] 26290: [discriminator loss: 0.536692, acc: 0.742188] [adversarial loss: 1.324997, acc: 0.140625] 26291: [discriminator loss: 0.538031, acc: 0.742188] [adversarial loss: 0.846218, acc: 0.453125] 26292: [discriminator loss: 0.555740, acc: 0.710938] [adversarial loss: 1.411648, acc: 0.234375] 26293: [discriminator loss: 0.528316, acc: 0.750000] [adversarial loss: 1.236033, acc: 0.281250] 26294: [discriminator loss: 0.509917, acc: 0.796875] [adversarial loss: 1.459592, acc: 0.187500] 26295: [discriminator loss: 0.529767, acc: 0.703125] [adversarial loss: 1.211613, acc: 0.234375] 26296: [discriminator loss: 0.495679, acc: 0.773438] [adversarial loss: 1.199958, acc: 0.171875] 26297: [discriminator loss: 0.521423, acc: 0.734375] [adversarial loss: 1.429529, acc: 0.125000] 26298: [discriminator loss: 0.534233, acc: 0.710938] [adversarial loss: 1.252770, acc: 0.156250] 26299: [discriminator loss: 0.538678, acc: 0.734375] [adversarial loss: 1.217467, acc: 0.296875] 26300: [discriminator loss: 0.578982, acc: 0.710938] [adversarial loss: 0.873712, acc: 0.453125] 26301: [discriminator loss: 0.564736, acc: 0.671875] [adversarial loss: 1.728569, acc: 0.093750] 26302: [discriminator loss: 0.593773, acc: 0.617188] [adversarial loss: 0.731515, acc: 0.578125] 26303: [discriminator loss: 0.543952, acc: 0.703125] [adversarial loss: 1.778643, acc: 0.093750] 26304: [discriminator loss: 0.534516, acc: 0.703125] [adversarial loss: 1.031477, acc: 0.437500] 26305: [discriminator loss: 0.557602, acc: 0.726562] [adversarial loss: 1.479485, acc: 0.218750] 26306: [discriminator loss: 0.512338, acc: 0.757812] [adversarial loss: 1.169297, acc: 0.296875] 26307: [discriminator loss: 0.509286, acc: 0.710938] [adversarial loss: 1.306407, acc: 0.250000] 26308: [discriminator loss: 0.526719, acc: 0.687500] [adversarial loss: 1.173347, acc: 0.265625] 26309: [discriminator loss: 0.501086, acc: 0.796875] [adversarial loss: 1.333076, acc: 0.093750] 26310: [discriminator loss: 0.509915, acc: 0.742188] [adversarial loss: 1.319892, acc: 0.187500] 26311: [discriminator loss: 0.558090, acc: 0.695312] [adversarial loss: 0.751031, acc: 0.562500] 26312: [discriminator loss: 0.567869, acc: 0.726562] [adversarial loss: 1.531736, acc: 0.078125] 26313: [discriminator loss: 0.621998, acc: 0.648438] [adversarial loss: 0.820068, acc: 0.562500] 26314: [discriminator loss: 0.536052, acc: 0.726562] [adversarial loss: 1.408715, acc: 0.140625] 26315: [discriminator loss: 0.590480, acc: 0.664062] [adversarial loss: 0.980587, acc: 0.375000] 26316: [discriminator loss: 0.495921, acc: 0.796875] [adversarial loss: 1.407084, acc: 0.093750] 26317: [discriminator loss: 0.519190, acc: 0.750000] [adversarial loss: 0.958107, acc: 0.328125] 26318: [discriminator loss: 0.559199, acc: 0.742188] [adversarial loss: 1.293516, acc: 0.187500] 26319: [discriminator loss: 0.550512, acc: 0.703125] [adversarial loss: 1.074301, acc: 0.296875] 26320: [discriminator loss: 0.583115, acc: 0.679688] [adversarial loss: 1.080940, acc: 0.250000] 26321: [discriminator loss: 0.534003, acc: 0.679688] [adversarial loss: 1.258903, acc: 0.156250] 26322: [discriminator loss: 0.544979, acc: 0.695312] [adversarial loss: 1.060506, acc: 0.359375] 26323: [discriminator loss: 0.531967, acc: 0.757812] [adversarial loss: 1.366096, acc: 0.125000] 26324: [discriminator loss: 0.561625, acc: 0.656250] [adversarial loss: 0.894257, acc: 0.500000] 26325: [discriminator loss: 0.516915, acc: 0.765625] [adversarial loss: 1.634505, acc: 0.140625] 26326: [discriminator loss: 0.461641, acc: 0.757812] [adversarial loss: 0.889180, acc: 0.406250] 26327: [discriminator loss: 0.539270, acc: 0.750000] [adversarial loss: 1.258335, acc: 0.265625] 26328: [discriminator loss: 0.539148, acc: 0.687500] [adversarial loss: 1.093531, acc: 0.343750] 26329: [discriminator loss: 0.454908, acc: 0.812500] [adversarial loss: 1.301540, acc: 0.250000] 26330: [discriminator loss: 0.527639, acc: 0.742188] [adversarial loss: 0.958179, acc: 0.437500] 26331: [discriminator loss: 0.622348, acc: 0.687500] [adversarial loss: 1.813939, acc: 0.093750] 26332: [discriminator loss: 0.610798, acc: 0.664062] [adversarial loss: 0.642412, acc: 0.640625] 26333: [discriminator loss: 0.534631, acc: 0.726562] [adversarial loss: 1.892600, acc: 0.062500] 26334: [discriminator loss: 0.624738, acc: 0.656250] [adversarial loss: 1.010414, acc: 0.421875] 26335: [discriminator loss: 0.532198, acc: 0.726562] [adversarial loss: 1.340322, acc: 0.218750] 26336: [discriminator loss: 0.488906, acc: 0.789062] [adversarial loss: 1.107371, acc: 0.281250] 26337: [discriminator loss: 0.533166, acc: 0.718750] [adversarial loss: 1.480760, acc: 0.125000] 26338: [discriminator loss: 0.500748, acc: 0.734375] [adversarial loss: 0.983603, acc: 0.421875] 26339: [discriminator loss: 0.581475, acc: 0.679688] [adversarial loss: 1.698981, acc: 0.140625] 26340: [discriminator loss: 0.592532, acc: 0.656250] [adversarial loss: 0.784341, acc: 0.500000] 26341: [discriminator loss: 0.625088, acc: 0.656250] [adversarial loss: 1.573447, acc: 0.109375] 26342: [discriminator loss: 0.528190, acc: 0.750000] [adversarial loss: 0.823038, acc: 0.468750] 26343: [discriminator loss: 0.576307, acc: 0.718750] [adversarial loss: 1.405253, acc: 0.250000] 26344: [discriminator loss: 0.549605, acc: 0.695312] [adversarial loss: 0.989238, acc: 0.390625] 26345: [discriminator loss: 0.535630, acc: 0.695312] [adversarial loss: 1.366419, acc: 0.171875] 26346: [discriminator loss: 0.544482, acc: 0.718750] [adversarial loss: 1.060316, acc: 0.375000] 26347: [discriminator loss: 0.459100, acc: 0.757812] [adversarial loss: 1.190357, acc: 0.359375] 26348: [discriminator loss: 0.467308, acc: 0.750000] [adversarial loss: 1.078112, acc: 0.171875] 26349: [discriminator loss: 0.516496, acc: 0.710938] [adversarial loss: 1.172428, acc: 0.265625] 26350: [discriminator loss: 0.450212, acc: 0.796875] [adversarial loss: 0.926891, acc: 0.468750] 26351: [discriminator loss: 0.556841, acc: 0.718750] [adversarial loss: 1.482547, acc: 0.218750] 26352: [discriminator loss: 0.589498, acc: 0.664062] [adversarial loss: 0.989184, acc: 0.375000] 26353: [discriminator loss: 0.573893, acc: 0.695312] [adversarial loss: 1.137918, acc: 0.234375] 26354: [discriminator loss: 0.493933, acc: 0.765625] [adversarial loss: 1.055608, acc: 0.312500] 26355: [discriminator loss: 0.492570, acc: 0.718750] [adversarial loss: 1.133667, acc: 0.281250] 26356: [discriminator loss: 0.499233, acc: 0.718750] [adversarial loss: 1.074530, acc: 0.328125] 26357: [discriminator loss: 0.501565, acc: 0.757812] [adversarial loss: 1.064751, acc: 0.359375] 26358: [discriminator loss: 0.493116, acc: 0.757812] [adversarial loss: 1.488153, acc: 0.140625] 26359: [discriminator loss: 0.496354, acc: 0.742188] [adversarial loss: 0.845298, acc: 0.546875] 26360: [discriminator loss: 0.597805, acc: 0.679688] [adversarial loss: 1.582394, acc: 0.125000] 26361: [discriminator loss: 0.463889, acc: 0.812500] [adversarial loss: 0.984168, acc: 0.312500] 26362: [discriminator loss: 0.463112, acc: 0.750000] [adversarial loss: 1.508182, acc: 0.187500] 26363: [discriminator loss: 0.443511, acc: 0.781250] [adversarial loss: 1.411826, acc: 0.171875] 26364: [discriminator loss: 0.500903, acc: 0.703125] [adversarial loss: 1.044245, acc: 0.421875] 26365: [discriminator loss: 0.513584, acc: 0.742188] [adversarial loss: 1.403311, acc: 0.203125] 26366: [discriminator loss: 0.473532, acc: 0.750000] [adversarial loss: 0.970726, acc: 0.406250] 26367: [discriminator loss: 0.558275, acc: 0.703125] [adversarial loss: 1.511746, acc: 0.109375] 26368: [discriminator loss: 0.453337, acc: 0.765625] [adversarial loss: 1.135514, acc: 0.250000] 26369: [discriminator loss: 0.473500, acc: 0.773438] [adversarial loss: 1.416554, acc: 0.218750] 26370: [discriminator loss: 0.590740, acc: 0.679688] [adversarial loss: 1.073657, acc: 0.328125] 26371: [discriminator loss: 0.569860, acc: 0.671875] [adversarial loss: 1.632501, acc: 0.140625] 26372: [discriminator loss: 0.580221, acc: 0.671875] [adversarial loss: 0.729506, acc: 0.578125] 26373: [discriminator loss: 0.571186, acc: 0.703125] [adversarial loss: 1.583412, acc: 0.140625] 26374: [discriminator loss: 0.527390, acc: 0.710938] [adversarial loss: 0.815896, acc: 0.453125] 26375: [discriminator loss: 0.498409, acc: 0.734375] [adversarial loss: 1.389060, acc: 0.281250] 26376: [discriminator loss: 0.511864, acc: 0.750000] [adversarial loss: 0.860355, acc: 0.515625] 26377: [discriminator loss: 0.530682, acc: 0.734375] [adversarial loss: 1.666398, acc: 0.140625] 26378: [discriminator loss: 0.597858, acc: 0.703125] [adversarial loss: 0.793210, acc: 0.500000] 26379: [discriminator loss: 0.616497, acc: 0.648438] [adversarial loss: 1.752818, acc: 0.062500] 26380: [discriminator loss: 0.501641, acc: 0.710938] [adversarial loss: 1.356747, acc: 0.187500] 26381: [discriminator loss: 0.517293, acc: 0.734375] [adversarial loss: 1.329335, acc: 0.203125] 26382: [discriminator loss: 0.520701, acc: 0.734375] [adversarial loss: 1.363451, acc: 0.234375] 26383: [discriminator loss: 0.477103, acc: 0.750000] [adversarial loss: 1.404975, acc: 0.234375] 26384: [discriminator loss: 0.523214, acc: 0.734375] [adversarial loss: 1.091045, acc: 0.375000] 26385: [discriminator loss: 0.515952, acc: 0.757812] [adversarial loss: 1.266349, acc: 0.234375] 26386: [discriminator loss: 0.454938, acc: 0.804688] [adversarial loss: 1.183806, acc: 0.390625] 26387: [discriminator loss: 0.451133, acc: 0.773438] [adversarial loss: 1.353164, acc: 0.140625] 26388: [discriminator loss: 0.527553, acc: 0.687500] [adversarial loss: 1.210152, acc: 0.281250] 26389: [discriminator loss: 0.483425, acc: 0.734375] [adversarial loss: 1.261711, acc: 0.281250] 26390: [discriminator loss: 0.533358, acc: 0.765625] [adversarial loss: 1.257545, acc: 0.265625] 26391: [discriminator loss: 0.513875, acc: 0.726562] [adversarial loss: 1.439368, acc: 0.140625] 26392: [discriminator loss: 0.537042, acc: 0.718750] [adversarial loss: 1.026715, acc: 0.218750] 26393: [discriminator loss: 0.455448, acc: 0.789062] [adversarial loss: 1.599252, acc: 0.140625] 26394: [discriminator loss: 0.555692, acc: 0.703125] [adversarial loss: 0.771831, acc: 0.531250] 26395: [discriminator loss: 0.543291, acc: 0.757812] [adversarial loss: 1.553880, acc: 0.156250] 26396: [discriminator loss: 0.560973, acc: 0.687500] [adversarial loss: 0.977840, acc: 0.421875] 26397: [discriminator loss: 0.634540, acc: 0.671875] [adversarial loss: 1.564902, acc: 0.140625] 26398: [discriminator loss: 0.596708, acc: 0.671875] [adversarial loss: 1.111283, acc: 0.406250] 26399: [discriminator loss: 0.541139, acc: 0.750000] [adversarial loss: 1.412336, acc: 0.265625] 26400: [discriminator loss: 0.540800, acc: 0.726562] [adversarial loss: 1.184061, acc: 0.296875] 26401: [discriminator loss: 0.575500, acc: 0.664062] [adversarial loss: 1.475417, acc: 0.140625] 26402: [discriminator loss: 0.592962, acc: 0.726562] [adversarial loss: 1.085808, acc: 0.437500] 26403: [discriminator loss: 0.540270, acc: 0.734375] [adversarial loss: 1.466226, acc: 0.156250] 26404: [discriminator loss: 0.557057, acc: 0.656250] [adversarial loss: 0.811702, acc: 0.484375] 26405: [discriminator loss: 0.531620, acc: 0.757812] [adversarial loss: 1.510171, acc: 0.093750] 26406: [discriminator loss: 0.550703, acc: 0.710938] [adversarial loss: 1.116980, acc: 0.296875] 26407: [discriminator loss: 0.568107, acc: 0.710938] [adversarial loss: 1.713996, acc: 0.046875] 26408: [discriminator loss: 0.582466, acc: 0.679688] [adversarial loss: 0.960131, acc: 0.375000] 26409: [discriminator loss: 0.666636, acc: 0.664062] [adversarial loss: 1.563919, acc: 0.093750] 26410: [discriminator loss: 0.522183, acc: 0.703125] [adversarial loss: 0.911005, acc: 0.421875] 26411: [discriminator loss: 0.627771, acc: 0.679688] [adversarial loss: 1.480612, acc: 0.171875] 26412: [discriminator loss: 0.597667, acc: 0.640625] [adversarial loss: 1.097878, acc: 0.328125] 26413: [discriminator loss: 0.496901, acc: 0.718750] [adversarial loss: 1.003739, acc: 0.453125] 26414: [discriminator loss: 0.519575, acc: 0.734375] [adversarial loss: 1.350116, acc: 0.218750] 26415: [discriminator loss: 0.490952, acc: 0.765625] [adversarial loss: 1.257471, acc: 0.203125] 26416: [discriminator loss: 0.515735, acc: 0.734375] [adversarial loss: 1.255841, acc: 0.250000] 26417: [discriminator loss: 0.537930, acc: 0.679688] [adversarial loss: 0.985013, acc: 0.375000] 26418: [discriminator loss: 0.593560, acc: 0.671875] [adversarial loss: 1.412201, acc: 0.203125] 26419: [discriminator loss: 0.549103, acc: 0.710938] [adversarial loss: 1.133883, acc: 0.265625] 26420: [discriminator loss: 0.477710, acc: 0.773438] [adversarial loss: 1.176022, acc: 0.265625] 26421: [discriminator loss: 0.453897, acc: 0.804688] [adversarial loss: 0.900323, acc: 0.468750] 26422: [discriminator loss: 0.547353, acc: 0.718750] [adversarial loss: 1.670856, acc: 0.062500] 26423: [discriminator loss: 0.590620, acc: 0.687500] [adversarial loss: 0.898796, acc: 0.375000] 26424: [discriminator loss: 0.462817, acc: 0.781250] [adversarial loss: 1.820129, acc: 0.046875] 26425: [discriminator loss: 0.591901, acc: 0.687500] [adversarial loss: 1.049615, acc: 0.312500] 26426: [discriminator loss: 0.485646, acc: 0.765625] [adversarial loss: 1.441578, acc: 0.109375] 26427: [discriminator loss: 0.599218, acc: 0.648438] [adversarial loss: 1.272536, acc: 0.296875] 26428: [discriminator loss: 0.508044, acc: 0.710938] [adversarial loss: 1.081418, acc: 0.375000] 26429: [discriminator loss: 0.513267, acc: 0.757812] [adversarial loss: 1.140994, acc: 0.265625] 26430: [discriminator loss: 0.490885, acc: 0.773438] [adversarial loss: 1.185687, acc: 0.312500] 26431: [discriminator loss: 0.536785, acc: 0.718750] [adversarial loss: 1.511917, acc: 0.218750] 26432: [discriminator loss: 0.531760, acc: 0.664062] [adversarial loss: 0.891570, acc: 0.390625] 26433: [discriminator loss: 0.585298, acc: 0.703125] [adversarial loss: 1.774095, acc: 0.093750] 26434: [discriminator loss: 0.549631, acc: 0.750000] [adversarial loss: 0.743077, acc: 0.593750] 26435: [discriminator loss: 0.608260, acc: 0.656250] [adversarial loss: 1.433274, acc: 0.109375] 26436: [discriminator loss: 0.593317, acc: 0.679688] [adversarial loss: 0.946982, acc: 0.359375] 26437: [discriminator loss: 0.526629, acc: 0.726562] [adversarial loss: 1.663156, acc: 0.093750] 26438: [discriminator loss: 0.597347, acc: 0.695312] [adversarial loss: 0.800085, acc: 0.500000] 26439: [discriminator loss: 0.524361, acc: 0.734375] [adversarial loss: 1.214614, acc: 0.359375] 26440: [discriminator loss: 0.528053, acc: 0.750000] [adversarial loss: 1.015803, acc: 0.312500] 26441: [discriminator loss: 0.536964, acc: 0.710938] [adversarial loss: 1.453218, acc: 0.156250] 26442: [discriminator loss: 0.503557, acc: 0.773438] [adversarial loss: 1.053075, acc: 0.375000] 26443: [discriminator loss: 0.478240, acc: 0.796875] [adversarial loss: 1.277641, acc: 0.265625] 26444: [discriminator loss: 0.480063, acc: 0.765625] [adversarial loss: 1.075781, acc: 0.265625] 26445: [discriminator loss: 0.549016, acc: 0.718750] [adversarial loss: 1.093067, acc: 0.250000] 26446: [discriminator loss: 0.569871, acc: 0.718750] [adversarial loss: 1.063648, acc: 0.343750] 26447: [discriminator loss: 0.480676, acc: 0.828125] [adversarial loss: 1.088665, acc: 0.296875] 26448: [discriminator loss: 0.537742, acc: 0.726562] [adversarial loss: 1.165470, acc: 0.234375] 26449: [discriminator loss: 0.495729, acc: 0.765625] [adversarial loss: 0.814759, acc: 0.515625] 26450: [discriminator loss: 0.507715, acc: 0.773438] [adversarial loss: 1.554281, acc: 0.156250] 26451: [discriminator loss: 0.510830, acc: 0.734375] [adversarial loss: 0.882445, acc: 0.515625] 26452: [discriminator loss: 0.592125, acc: 0.687500] [adversarial loss: 1.774415, acc: 0.046875] 26453: [discriminator loss: 0.604898, acc: 0.656250] [adversarial loss: 0.880063, acc: 0.468750] 26454: [discriminator loss: 0.562196, acc: 0.710938] [adversarial loss: 1.147144, acc: 0.312500] 26455: [discriminator loss: 0.516411, acc: 0.765625] [adversarial loss: 1.032802, acc: 0.390625] 26456: [discriminator loss: 0.576338, acc: 0.718750] [adversarial loss: 1.243787, acc: 0.234375] 26457: [discriminator loss: 0.649768, acc: 0.632812] [adversarial loss: 0.940822, acc: 0.453125] 26458: [discriminator loss: 0.528102, acc: 0.742188] [adversarial loss: 1.426854, acc: 0.171875] 26459: [discriminator loss: 0.609427, acc: 0.679688] [adversarial loss: 1.069677, acc: 0.343750] 26460: [discriminator loss: 0.537543, acc: 0.734375] [adversarial loss: 1.013896, acc: 0.328125] 26461: [discriminator loss: 0.496533, acc: 0.781250] [adversarial loss: 1.379346, acc: 0.250000] 26462: [discriminator loss: 0.508185, acc: 0.742188] [adversarial loss: 1.050586, acc: 0.406250] 26463: [discriminator loss: 0.626570, acc: 0.726562] [adversarial loss: 1.503611, acc: 0.093750] 26464: [discriminator loss: 0.531353, acc: 0.687500] [adversarial loss: 0.913763, acc: 0.437500] 26465: [discriminator loss: 0.582416, acc: 0.695312] [adversarial loss: 1.544195, acc: 0.109375] 26466: [discriminator loss: 0.559819, acc: 0.695312] [adversarial loss: 0.788585, acc: 0.453125] 26467: [discriminator loss: 0.599668, acc: 0.632812] [adversarial loss: 1.796851, acc: 0.031250] 26468: [discriminator loss: 0.641722, acc: 0.640625] [adversarial loss: 0.785595, acc: 0.515625] 26469: [discriminator loss: 0.535334, acc: 0.695312] [adversarial loss: 1.528786, acc: 0.125000] 26470: [discriminator loss: 0.536963, acc: 0.671875] [adversarial loss: 1.017121, acc: 0.296875] 26471: [discriminator loss: 0.591194, acc: 0.648438] [adversarial loss: 1.281796, acc: 0.156250] 26472: [discriminator loss: 0.566620, acc: 0.679688] [adversarial loss: 1.388759, acc: 0.140625] 26473: [discriminator loss: 0.474660, acc: 0.796875] [adversarial loss: 1.281324, acc: 0.218750] 26474: [discriminator loss: 0.453605, acc: 0.804688] [adversarial loss: 1.365573, acc: 0.203125] 26475: [discriminator loss: 0.496887, acc: 0.734375] [adversarial loss: 1.151265, acc: 0.343750] 26476: [discriminator loss: 0.489771, acc: 0.781250] [adversarial loss: 1.465093, acc: 0.109375] 26477: [discriminator loss: 0.475423, acc: 0.765625] [adversarial loss: 0.891877, acc: 0.437500] 26478: [discriminator loss: 0.579178, acc: 0.687500] [adversarial loss: 1.250298, acc: 0.203125] 26479: [discriminator loss: 0.569956, acc: 0.734375] [adversarial loss: 1.038854, acc: 0.328125] 26480: [discriminator loss: 0.541785, acc: 0.671875] [adversarial loss: 1.513228, acc: 0.093750] 26481: [discriminator loss: 0.632394, acc: 0.695312] [adversarial loss: 0.867825, acc: 0.484375] 26482: [discriminator loss: 0.582160, acc: 0.742188] [adversarial loss: 1.834019, acc: 0.031250] 26483: [discriminator loss: 0.530063, acc: 0.679688] [adversarial loss: 0.886649, acc: 0.421875] 26484: [discriminator loss: 0.467425, acc: 0.781250] [adversarial loss: 1.401996, acc: 0.171875] 26485: [discriminator loss: 0.537191, acc: 0.742188] [adversarial loss: 1.181795, acc: 0.328125] 26486: [discriminator loss: 0.549495, acc: 0.703125] [adversarial loss: 1.294055, acc: 0.171875] 26487: [discriminator loss: 0.555120, acc: 0.703125] [adversarial loss: 1.097867, acc: 0.296875] 26488: [discriminator loss: 0.481671, acc: 0.773438] [adversarial loss: 1.175940, acc: 0.343750] 26489: [discriminator loss: 0.558555, acc: 0.664062] [adversarial loss: 1.281293, acc: 0.156250] 26490: [discriminator loss: 0.500536, acc: 0.734375] [adversarial loss: 1.137742, acc: 0.281250] 26491: [discriminator loss: 0.526096, acc: 0.726562] [adversarial loss: 1.220994, acc: 0.250000] 26492: [discriminator loss: 0.602913, acc: 0.593750] [adversarial loss: 1.287765, acc: 0.281250] 26493: [discriminator loss: 0.529949, acc: 0.765625] [adversarial loss: 1.330533, acc: 0.156250] 26494: [discriminator loss: 0.547409, acc: 0.718750] [adversarial loss: 0.983779, acc: 0.328125] 26495: [discriminator loss: 0.515220, acc: 0.765625] [adversarial loss: 1.284823, acc: 0.203125] 26496: [discriminator loss: 0.537298, acc: 0.710938] [adversarial loss: 0.900966, acc: 0.484375] 26497: [discriminator loss: 0.552954, acc: 0.734375] [adversarial loss: 1.492322, acc: 0.109375] 26498: [discriminator loss: 0.568373, acc: 0.679688] [adversarial loss: 0.912428, acc: 0.468750] 26499: [discriminator loss: 0.586155, acc: 0.679688] [adversarial loss: 1.654410, acc: 0.140625] 26500: [discriminator loss: 0.492129, acc: 0.773438] [adversarial loss: 1.069071, acc: 0.296875] 26501: [discriminator loss: 0.567796, acc: 0.703125] [adversarial loss: 1.369344, acc: 0.171875] 26502: [discriminator loss: 0.511989, acc: 0.734375] [adversarial loss: 1.113086, acc: 0.312500] 26503: [discriminator loss: 0.552278, acc: 0.718750] [adversarial loss: 0.951817, acc: 0.343750] 26504: [discriminator loss: 0.605375, acc: 0.671875] [adversarial loss: 1.609705, acc: 0.078125] 26505: [discriminator loss: 0.519853, acc: 0.710938] [adversarial loss: 1.004438, acc: 0.375000] 26506: [discriminator loss: 0.502340, acc: 0.773438] [adversarial loss: 1.719268, acc: 0.062500] 26507: [discriminator loss: 0.580897, acc: 0.703125] [adversarial loss: 0.805858, acc: 0.515625] 26508: [discriminator loss: 0.512624, acc: 0.757812] [adversarial loss: 1.529155, acc: 0.078125] 26509: [discriminator loss: 0.560771, acc: 0.664062] [adversarial loss: 0.901398, acc: 0.468750] 26510: [discriminator loss: 0.543440, acc: 0.718750] [adversarial loss: 1.705645, acc: 0.078125] 26511: [discriminator loss: 0.579589, acc: 0.695312] [adversarial loss: 0.957194, acc: 0.421875] 26512: [discriminator loss: 0.585327, acc: 0.679688] [adversarial loss: 1.652307, acc: 0.109375] 26513: [discriminator loss: 0.543317, acc: 0.710938] [adversarial loss: 0.957794, acc: 0.453125] 26514: [discriminator loss: 0.490877, acc: 0.734375] [adversarial loss: 1.420316, acc: 0.171875] 26515: [discriminator loss: 0.515776, acc: 0.773438] [adversarial loss: 1.227341, acc: 0.203125] 26516: [discriminator loss: 0.514939, acc: 0.734375] [adversarial loss: 1.195569, acc: 0.281250] 26517: [discriminator loss: 0.502897, acc: 0.734375] [adversarial loss: 1.205332, acc: 0.312500] 26518: [discriminator loss: 0.545958, acc: 0.718750] [adversarial loss: 1.158507, acc: 0.281250] 26519: [discriminator loss: 0.532097, acc: 0.726562] [adversarial loss: 1.349291, acc: 0.156250] 26520: [discriminator loss: 0.479206, acc: 0.750000] [adversarial loss: 1.278807, acc: 0.218750] 26521: [discriminator loss: 0.516641, acc: 0.710938] [adversarial loss: 1.216678, acc: 0.203125] 26522: [discriminator loss: 0.522642, acc: 0.765625] [adversarial loss: 1.372250, acc: 0.187500] 26523: [discriminator loss: 0.504351, acc: 0.750000] [adversarial loss: 1.087825, acc: 0.312500] 26524: [discriminator loss: 0.478634, acc: 0.789062] [adversarial loss: 1.556156, acc: 0.171875] 26525: [discriminator loss: 0.537924, acc: 0.703125] [adversarial loss: 1.191776, acc: 0.281250] 26526: [discriminator loss: 0.531905, acc: 0.726562] [adversarial loss: 1.300873, acc: 0.187500] 26527: [discriminator loss: 0.524189, acc: 0.773438] [adversarial loss: 0.735162, acc: 0.609375] 26528: [discriminator loss: 0.642465, acc: 0.679688] [adversarial loss: 1.835549, acc: 0.093750] 26529: [discriminator loss: 0.604781, acc: 0.703125] [adversarial loss: 1.021282, acc: 0.453125] 26530: [discriminator loss: 0.503187, acc: 0.757812] [adversarial loss: 1.177866, acc: 0.250000] 26531: [discriminator loss: 0.599440, acc: 0.687500] [adversarial loss: 1.187552, acc: 0.234375] 26532: [discriminator loss: 0.506287, acc: 0.742188] [adversarial loss: 1.095247, acc: 0.343750] 26533: [discriminator loss: 0.523428, acc: 0.734375] [adversarial loss: 1.512620, acc: 0.125000] 26534: [discriminator loss: 0.528151, acc: 0.695312] [adversarial loss: 1.021325, acc: 0.375000] 26535: [discriminator loss: 0.502977, acc: 0.718750] [adversarial loss: 1.180613, acc: 0.234375] 26536: [discriminator loss: 0.491086, acc: 0.765625] [adversarial loss: 0.855274, acc: 0.468750] 26537: [discriminator loss: 0.485599, acc: 0.773438] [adversarial loss: 1.265685, acc: 0.265625] 26538: [discriminator loss: 0.524453, acc: 0.765625] [adversarial loss: 1.157407, acc: 0.296875] 26539: [discriminator loss: 0.566115, acc: 0.718750] [adversarial loss: 1.122824, acc: 0.281250] 26540: [discriminator loss: 0.619643, acc: 0.664062] [adversarial loss: 1.292866, acc: 0.187500] 26541: [discriminator loss: 0.492223, acc: 0.718750] [adversarial loss: 1.258266, acc: 0.171875] 26542: [discriminator loss: 0.511180, acc: 0.742188] [adversarial loss: 1.426807, acc: 0.187500] 26543: [discriminator loss: 0.478086, acc: 0.765625] [adversarial loss: 1.132150, acc: 0.343750] 26544: [discriminator loss: 0.568265, acc: 0.742188] [adversarial loss: 1.817601, acc: 0.109375] 26545: [discriminator loss: 0.569442, acc: 0.679688] [adversarial loss: 0.715274, acc: 0.562500] 26546: [discriminator loss: 0.535993, acc: 0.734375] [adversarial loss: 1.586770, acc: 0.156250] 26547: [discriminator loss: 0.549606, acc: 0.703125] [adversarial loss: 1.024857, acc: 0.281250] 26548: [discriminator loss: 0.532547, acc: 0.695312] [adversarial loss: 1.254761, acc: 0.218750] 26549: [discriminator loss: 0.598910, acc: 0.664062] [adversarial loss: 1.323042, acc: 0.281250] 26550: [discriminator loss: 0.571715, acc: 0.679688] [adversarial loss: 1.171842, acc: 0.296875] 26551: [discriminator loss: 0.536632, acc: 0.718750] [adversarial loss: 1.011891, acc: 0.359375] 26552: [discriminator loss: 0.494108, acc: 0.726562] [adversarial loss: 1.491739, acc: 0.156250] 26553: [discriminator loss: 0.565662, acc: 0.718750] [adversarial loss: 0.800040, acc: 0.468750] 26554: [discriminator loss: 0.499462, acc: 0.765625] [adversarial loss: 1.452847, acc: 0.218750] 26555: [discriminator loss: 0.529799, acc: 0.742188] [adversarial loss: 1.133857, acc: 0.375000] 26556: [discriminator loss: 0.597537, acc: 0.671875] [adversarial loss: 1.112687, acc: 0.328125] 26557: [discriminator loss: 0.544555, acc: 0.695312] [adversarial loss: 1.257500, acc: 0.265625] 26558: [discriminator loss: 0.453398, acc: 0.773438] [adversarial loss: 1.315802, acc: 0.265625] 26559: [discriminator loss: 0.523206, acc: 0.734375] [adversarial loss: 1.258925, acc: 0.250000] 26560: [discriminator loss: 0.562534, acc: 0.687500] [adversarial loss: 1.316028, acc: 0.187500] 26561: [discriminator loss: 0.477947, acc: 0.710938] [adversarial loss: 1.060907, acc: 0.359375] 26562: [discriminator loss: 0.519588, acc: 0.742188] [adversarial loss: 1.311060, acc: 0.109375] 26563: [discriminator loss: 0.547994, acc: 0.726562] [adversarial loss: 0.890589, acc: 0.500000] 26564: [discriminator loss: 0.642997, acc: 0.632812] [adversarial loss: 1.615473, acc: 0.109375] 26565: [discriminator loss: 0.540563, acc: 0.726562] [adversarial loss: 0.948518, acc: 0.328125] 26566: [discriminator loss: 0.590899, acc: 0.687500] [adversarial loss: 1.569005, acc: 0.078125] 26567: [discriminator loss: 0.598555, acc: 0.656250] [adversarial loss: 1.047989, acc: 0.359375] 26568: [discriminator loss: 0.526253, acc: 0.718750] [adversarial loss: 1.176864, acc: 0.265625] 26569: [discriminator loss: 0.556003, acc: 0.703125] [adversarial loss: 1.297168, acc: 0.203125] 26570: [discriminator loss: 0.561810, acc: 0.687500] [adversarial loss: 1.212648, acc: 0.234375] 26571: [discriminator loss: 0.565763, acc: 0.656250] [adversarial loss: 1.284752, acc: 0.234375] 26572: [discriminator loss: 0.510306, acc: 0.773438] [adversarial loss: 1.471217, acc: 0.171875] 26573: [discriminator loss: 0.517084, acc: 0.718750] [adversarial loss: 0.701477, acc: 0.578125] 26574: [discriminator loss: 0.668154, acc: 0.625000] [adversarial loss: 1.852963, acc: 0.078125] 26575: [discriminator loss: 0.476192, acc: 0.773438] [adversarial loss: 0.991579, acc: 0.390625] 26576: [discriminator loss: 0.534534, acc: 0.695312] [adversarial loss: 1.524339, acc: 0.125000] 26577: [discriminator loss: 0.510587, acc: 0.726562] [adversarial loss: 1.128196, acc: 0.375000] 26578: [discriminator loss: 0.605366, acc: 0.664062] [adversarial loss: 1.387846, acc: 0.218750] 26579: [discriminator loss: 0.589542, acc: 0.679688] [adversarial loss: 0.976378, acc: 0.343750] 26580: [discriminator loss: 0.542411, acc: 0.726562] [adversarial loss: 1.314168, acc: 0.250000] 26581: [discriminator loss: 0.562191, acc: 0.710938] [adversarial loss: 0.877043, acc: 0.500000] 26582: [discriminator loss: 0.593361, acc: 0.687500] [adversarial loss: 1.584435, acc: 0.140625] 26583: [discriminator loss: 0.499489, acc: 0.742188] [adversarial loss: 0.834485, acc: 0.562500] 26584: [discriminator loss: 0.581828, acc: 0.695312] [adversarial loss: 1.547774, acc: 0.140625] 26585: [discriminator loss: 0.565898, acc: 0.671875] [adversarial loss: 1.101417, acc: 0.343750] 26586: [discriminator loss: 0.506244, acc: 0.796875] [adversarial loss: 1.437270, acc: 0.140625] 26587: [discriminator loss: 0.555955, acc: 0.695312] [adversarial loss: 1.113004, acc: 0.281250] 26588: [discriminator loss: 0.587016, acc: 0.687500] [adversarial loss: 1.080540, acc: 0.406250] 26589: [discriminator loss: 0.490290, acc: 0.757812] [adversarial loss: 1.307304, acc: 0.296875] 26590: [discriminator loss: 0.518718, acc: 0.710938] [adversarial loss: 1.335351, acc: 0.234375] 26591: [discriminator loss: 0.552283, acc: 0.703125] [adversarial loss: 1.138980, acc: 0.296875] 26592: [discriminator loss: 0.637440, acc: 0.640625] [adversarial loss: 1.095351, acc: 0.296875] 26593: [discriminator loss: 0.499598, acc: 0.726562] [adversarial loss: 1.235500, acc: 0.343750] 26594: [discriminator loss: 0.533139, acc: 0.703125] [adversarial loss: 1.176708, acc: 0.171875] 26595: [discriminator loss: 0.469968, acc: 0.804688] [adversarial loss: 1.027017, acc: 0.375000] 26596: [discriminator loss: 0.523048, acc: 0.710938] [adversarial loss: 1.070060, acc: 0.281250] 26597: [discriminator loss: 0.560883, acc: 0.656250] [adversarial loss: 1.159573, acc: 0.265625] 26598: [discriminator loss: 0.523660, acc: 0.757812] [adversarial loss: 0.899283, acc: 0.453125] 26599: [discriminator loss: 0.554269, acc: 0.695312] [adversarial loss: 1.318268, acc: 0.156250] 26600: [discriminator loss: 0.559948, acc: 0.734375] [adversarial loss: 1.002066, acc: 0.265625] 26601: [discriminator loss: 0.604340, acc: 0.695312] [adversarial loss: 1.419548, acc: 0.156250] 26602: [discriminator loss: 0.515479, acc: 0.726562] [adversarial loss: 0.740433, acc: 0.578125] 26603: [discriminator loss: 0.604357, acc: 0.664062] [adversarial loss: 1.629434, acc: 0.078125] 26604: [discriminator loss: 0.551198, acc: 0.695312] [adversarial loss: 0.771765, acc: 0.515625] 26605: [discriminator loss: 0.574043, acc: 0.671875] [adversarial loss: 1.618062, acc: 0.125000] 26606: [discriminator loss: 0.600264, acc: 0.664062] [adversarial loss: 1.067112, acc: 0.359375] 26607: [discriminator loss: 0.585385, acc: 0.664062] [adversarial loss: 1.416940, acc: 0.156250] 26608: [discriminator loss: 0.529009, acc: 0.742188] [adversarial loss: 1.355672, acc: 0.203125] 26609: [discriminator loss: 0.478915, acc: 0.773438] [adversarial loss: 1.062640, acc: 0.281250] 26610: [discriminator loss: 0.523130, acc: 0.679688] [adversarial loss: 1.310229, acc: 0.203125] 26611: [discriminator loss: 0.512844, acc: 0.773438] [adversarial loss: 1.033856, acc: 0.343750] 26612: [discriminator loss: 0.556379, acc: 0.710938] [adversarial loss: 1.382722, acc: 0.109375] 26613: [discriminator loss: 0.541075, acc: 0.695312] [adversarial loss: 0.908175, acc: 0.453125] 26614: [discriminator loss: 0.509076, acc: 0.773438] [adversarial loss: 1.271493, acc: 0.171875] 26615: [discriminator loss: 0.558896, acc: 0.695312] [adversarial loss: 1.230826, acc: 0.187500] 26616: [discriminator loss: 0.486236, acc: 0.765625] [adversarial loss: 1.267581, acc: 0.281250] 26617: [discriminator loss: 0.560516, acc: 0.703125] [adversarial loss: 1.058909, acc: 0.390625] 26618: [discriminator loss: 0.506479, acc: 0.765625] [adversarial loss: 1.229773, acc: 0.265625] 26619: [discriminator loss: 0.527196, acc: 0.703125] [adversarial loss: 0.982023, acc: 0.421875] 26620: [discriminator loss: 0.504821, acc: 0.734375] [adversarial loss: 1.413437, acc: 0.265625] 26621: [discriminator loss: 0.503753, acc: 0.757812] [adversarial loss: 0.843403, acc: 0.453125] 26622: [discriminator loss: 0.480666, acc: 0.734375] [adversarial loss: 1.742527, acc: 0.062500] 26623: [discriminator loss: 0.575164, acc: 0.679688] [adversarial loss: 0.696487, acc: 0.625000] 26624: [discriminator loss: 0.540406, acc: 0.710938] [adversarial loss: 1.743969, acc: 0.046875] 26625: [discriminator loss: 0.601802, acc: 0.671875] [adversarial loss: 0.798617, acc: 0.593750] 26626: [discriminator loss: 0.521998, acc: 0.789062] [adversarial loss: 1.420695, acc: 0.171875] 26627: [discriminator loss: 0.531698, acc: 0.734375] [adversarial loss: 0.855740, acc: 0.515625] 26628: [discriminator loss: 0.492089, acc: 0.750000] [adversarial loss: 1.321521, acc: 0.265625] 26629: [discriminator loss: 0.562648, acc: 0.710938] [adversarial loss: 1.357164, acc: 0.187500] 26630: [discriminator loss: 0.500495, acc: 0.742188] [adversarial loss: 1.145522, acc: 0.296875] 26631: [discriminator loss: 0.573973, acc: 0.695312] [adversarial loss: 1.173735, acc: 0.218750] 26632: [discriminator loss: 0.573084, acc: 0.679688] [adversarial loss: 0.894102, acc: 0.468750] 26633: [discriminator loss: 0.536175, acc: 0.742188] [adversarial loss: 1.270576, acc: 0.265625] 26634: [discriminator loss: 0.578196, acc: 0.703125] [adversarial loss: 0.739030, acc: 0.625000] 26635: [discriminator loss: 0.486496, acc: 0.750000] [adversarial loss: 1.790120, acc: 0.046875] 26636: [discriminator loss: 0.564465, acc: 0.726562] [adversarial loss: 0.796933, acc: 0.484375] 26637: [discriminator loss: 0.562448, acc: 0.679688] [adversarial loss: 1.797876, acc: 0.078125] 26638: [discriminator loss: 0.559512, acc: 0.664062] [adversarial loss: 1.042518, acc: 0.328125] 26639: [discriminator loss: 0.547346, acc: 0.710938] [adversarial loss: 1.654071, acc: 0.078125] 26640: [discriminator loss: 0.505866, acc: 0.757812] [adversarial loss: 1.196200, acc: 0.265625] 26641: [discriminator loss: 0.502146, acc: 0.765625] [adversarial loss: 1.280898, acc: 0.265625] 26642: [discriminator loss: 0.452190, acc: 0.781250] [adversarial loss: 1.454921, acc: 0.187500] 26643: [discriminator loss: 0.552118, acc: 0.718750] [adversarial loss: 1.165174, acc: 0.265625] 26644: [discriminator loss: 0.458075, acc: 0.789062] [adversarial loss: 1.203502, acc: 0.343750] 26645: [discriminator loss: 0.501929, acc: 0.742188] [adversarial loss: 1.071583, acc: 0.281250] 26646: [discriminator loss: 0.488969, acc: 0.750000] [adversarial loss: 1.224383, acc: 0.281250] 26647: [discriminator loss: 0.499922, acc: 0.765625] [adversarial loss: 1.047628, acc: 0.390625] 26648: [discriminator loss: 0.415718, acc: 0.781250] [adversarial loss: 1.123602, acc: 0.281250] 26649: [discriminator loss: 0.499609, acc: 0.765625] [adversarial loss: 1.771175, acc: 0.046875] 26650: [discriminator loss: 0.555621, acc: 0.703125] [adversarial loss: 0.833922, acc: 0.468750] 26651: [discriminator loss: 0.542427, acc: 0.789062] [adversarial loss: 1.704888, acc: 0.140625] 26652: [discriminator loss: 0.559490, acc: 0.710938] [adversarial loss: 0.760046, acc: 0.546875] 26653: [discriminator loss: 0.609480, acc: 0.687500] [adversarial loss: 1.788554, acc: 0.109375] 26654: [discriminator loss: 0.484818, acc: 0.773438] [adversarial loss: 1.156917, acc: 0.328125] 26655: [discriminator loss: 0.450522, acc: 0.734375] [adversarial loss: 1.514389, acc: 0.171875] 26656: [discriminator loss: 0.558212, acc: 0.679688] [adversarial loss: 1.268583, acc: 0.171875] 26657: [discriminator loss: 0.535015, acc: 0.726562] [adversarial loss: 1.152776, acc: 0.328125] 26658: [discriminator loss: 0.528263, acc: 0.710938] [adversarial loss: 1.461074, acc: 0.140625] 26659: [discriminator loss: 0.599677, acc: 0.671875] [adversarial loss: 0.840624, acc: 0.453125] 26660: [discriminator loss: 0.603493, acc: 0.750000] [adversarial loss: 1.464638, acc: 0.171875] 26661: [discriminator loss: 0.525730, acc: 0.656250] [adversarial loss: 0.820976, acc: 0.484375] 26662: [discriminator loss: 0.623285, acc: 0.648438] [adversarial loss: 1.419348, acc: 0.218750] 26663: [discriminator loss: 0.654997, acc: 0.593750] [adversarial loss: 0.824558, acc: 0.546875] 26664: [discriminator loss: 0.604159, acc: 0.703125] [adversarial loss: 1.445342, acc: 0.187500] 26665: [discriminator loss: 0.575864, acc: 0.710938] [adversarial loss: 1.137128, acc: 0.296875] 26666: [discriminator loss: 0.571661, acc: 0.710938] [adversarial loss: 1.342738, acc: 0.187500] 26667: [discriminator loss: 0.576091, acc: 0.726562] [adversarial loss: 0.945947, acc: 0.421875] 26668: [discriminator loss: 0.501796, acc: 0.781250] [adversarial loss: 1.452670, acc: 0.140625] 26669: [discriminator loss: 0.537556, acc: 0.718750] [adversarial loss: 0.780828, acc: 0.515625] 26670: [discriminator loss: 0.658669, acc: 0.617188] [adversarial loss: 1.535749, acc: 0.156250] 26671: [discriminator loss: 0.546435, acc: 0.726562] [adversarial loss: 0.859811, acc: 0.468750] 26672: [discriminator loss: 0.587960, acc: 0.718750] [adversarial loss: 1.585351, acc: 0.093750] 26673: [discriminator loss: 0.516547, acc: 0.781250] [adversarial loss: 1.041748, acc: 0.437500] 26674: [discriminator loss: 0.447804, acc: 0.796875] [adversarial loss: 1.369977, acc: 0.187500] 26675: [discriminator loss: 0.524351, acc: 0.718750] [adversarial loss: 1.163320, acc: 0.296875] 26676: [discriminator loss: 0.491079, acc: 0.773438] [adversarial loss: 1.348394, acc: 0.250000] 26677: [discriminator loss: 0.525202, acc: 0.734375] [adversarial loss: 1.272824, acc: 0.140625] 26678: [discriminator loss: 0.565562, acc: 0.734375] [adversarial loss: 1.091473, acc: 0.312500] 26679: [discriminator loss: 0.520407, acc: 0.710938] [adversarial loss: 1.209738, acc: 0.250000] 26680: [discriminator loss: 0.602831, acc: 0.703125] [adversarial loss: 1.337416, acc: 0.250000] 26681: [discriminator loss: 0.500917, acc: 0.765625] [adversarial loss: 0.927135, acc: 0.437500] 26682: [discriminator loss: 0.521829, acc: 0.750000] [adversarial loss: 1.399010, acc: 0.203125] 26683: [discriminator loss: 0.582759, acc: 0.656250] [adversarial loss: 0.914350, acc: 0.421875] 26684: [discriminator loss: 0.513341, acc: 0.765625] [adversarial loss: 1.657647, acc: 0.125000] 26685: [discriminator loss: 0.455574, acc: 0.796875] [adversarial loss: 1.025463, acc: 0.359375] 26686: [discriminator loss: 0.527629, acc: 0.726562] [adversarial loss: 1.455771, acc: 0.171875] 26687: [discriminator loss: 0.532244, acc: 0.742188] [adversarial loss: 1.220159, acc: 0.234375] 26688: [discriminator loss: 0.545721, acc: 0.718750] [adversarial loss: 1.045325, acc: 0.375000] 26689: [discriminator loss: 0.443335, acc: 0.796875] [adversarial loss: 1.050222, acc: 0.406250] 26690: [discriminator loss: 0.515959, acc: 0.703125] [adversarial loss: 1.048353, acc: 0.281250] 26691: [discriminator loss: 0.486789, acc: 0.765625] [adversarial loss: 1.164503, acc: 0.218750] 26692: [discriminator loss: 0.571095, acc: 0.656250] [adversarial loss: 1.088010, acc: 0.281250] 26693: [discriminator loss: 0.552449, acc: 0.726562] [adversarial loss: 1.582822, acc: 0.125000] 26694: [discriminator loss: 0.561537, acc: 0.656250] [adversarial loss: 0.853823, acc: 0.453125] 26695: [discriminator loss: 0.705455, acc: 0.656250] [adversarial loss: 1.482841, acc: 0.140625] 26696: [discriminator loss: 0.633047, acc: 0.664062] [adversarial loss: 0.865300, acc: 0.515625] 26697: [discriminator loss: 0.646044, acc: 0.679688] [adversarial loss: 1.458562, acc: 0.156250] 26698: [discriminator loss: 0.564938, acc: 0.734375] [adversarial loss: 1.007672, acc: 0.406250] 26699: [discriminator loss: 0.563256, acc: 0.687500] [adversarial loss: 1.201918, acc: 0.250000] 26700: [discriminator loss: 0.536074, acc: 0.734375] [adversarial loss: 1.250258, acc: 0.218750] 26701: [discriminator loss: 0.481725, acc: 0.773438] [adversarial loss: 1.208992, acc: 0.296875] 26702: [discriminator loss: 0.481759, acc: 0.765625] [adversarial loss: 1.255848, acc: 0.250000] 26703: [discriminator loss: 0.526480, acc: 0.765625] [adversarial loss: 1.092374, acc: 0.250000] 26704: [discriminator loss: 0.491867, acc: 0.750000] [adversarial loss: 1.361889, acc: 0.156250] 26705: [discriminator loss: 0.551964, acc: 0.695312] [adversarial loss: 1.048001, acc: 0.359375] 26706: [discriminator loss: 0.544110, acc: 0.671875] [adversarial loss: 1.218821, acc: 0.343750] 26707: [discriminator loss: 0.562432, acc: 0.703125] [adversarial loss: 1.131243, acc: 0.359375] 26708: [discriminator loss: 0.452970, acc: 0.773438] [adversarial loss: 1.670968, acc: 0.078125] 26709: [discriminator loss: 0.551974, acc: 0.718750] [adversarial loss: 1.052952, acc: 0.359375] 26710: [discriminator loss: 0.479671, acc: 0.742188] [adversarial loss: 1.307893, acc: 0.250000] 26711: [discriminator loss: 0.525578, acc: 0.718750] [adversarial loss: 0.806945, acc: 0.515625] 26712: [discriminator loss: 0.527891, acc: 0.703125] [adversarial loss: 1.384833, acc: 0.187500] 26713: [discriminator loss: 0.489760, acc: 0.750000] [adversarial loss: 0.911964, acc: 0.453125] 26714: [discriminator loss: 0.534818, acc: 0.718750] [adversarial loss: 1.398719, acc: 0.187500] 26715: [discriminator loss: 0.522071, acc: 0.742188] [adversarial loss: 0.850450, acc: 0.546875] 26716: [discriminator loss: 0.532560, acc: 0.718750] [adversarial loss: 1.666441, acc: 0.093750] 26717: [discriminator loss: 0.529995, acc: 0.726562] [adversarial loss: 0.906971, acc: 0.406250] 26718: [discriminator loss: 0.570215, acc: 0.710938] [adversarial loss: 1.585000, acc: 0.140625] 26719: [discriminator loss: 0.553754, acc: 0.703125] [adversarial loss: 0.779782, acc: 0.546875] 26720: [discriminator loss: 0.496324, acc: 0.773438] [adversarial loss: 1.349724, acc: 0.187500] 26721: [discriminator loss: 0.590443, acc: 0.695312] [adversarial loss: 1.046155, acc: 0.328125] 26722: [discriminator loss: 0.535690, acc: 0.710938] [adversarial loss: 1.357505, acc: 0.125000] 26723: [discriminator loss: 0.504631, acc: 0.703125] [adversarial loss: 0.885579, acc: 0.390625] 26724: [discriminator loss: 0.518764, acc: 0.765625] [adversarial loss: 1.184999, acc: 0.250000] 26725: [discriminator loss: 0.498008, acc: 0.734375] [adversarial loss: 0.717514, acc: 0.546875] 26726: [discriminator loss: 0.670948, acc: 0.601562] [adversarial loss: 1.631508, acc: 0.125000] 26727: [discriminator loss: 0.548289, acc: 0.671875] [adversarial loss: 0.872069, acc: 0.437500] 26728: [discriminator loss: 0.527410, acc: 0.726562] [adversarial loss: 1.245977, acc: 0.218750] 26729: [discriminator loss: 0.477259, acc: 0.781250] [adversarial loss: 0.972466, acc: 0.453125] 26730: [discriminator loss: 0.447214, acc: 0.781250] [adversarial loss: 1.350423, acc: 0.156250] 26731: [discriminator loss: 0.517142, acc: 0.734375] [adversarial loss: 1.200894, acc: 0.328125] 26732: [discriminator loss: 0.557577, acc: 0.742188] [adversarial loss: 1.402543, acc: 0.187500] 26733: [discriminator loss: 0.488913, acc: 0.757812] [adversarial loss: 1.009284, acc: 0.312500] 26734: [discriminator loss: 0.495353, acc: 0.750000] [adversarial loss: 1.184987, acc: 0.234375] 26735: [discriminator loss: 0.529973, acc: 0.703125] [adversarial loss: 1.600400, acc: 0.125000] 26736: [discriminator loss: 0.622210, acc: 0.656250] [adversarial loss: 0.702607, acc: 0.578125] 26737: [discriminator loss: 0.600673, acc: 0.710938] [adversarial loss: 1.442621, acc: 0.203125] 26738: [discriminator loss: 0.507276, acc: 0.734375] [adversarial loss: 1.257472, acc: 0.328125] 26739: [discriminator loss: 0.604586, acc: 0.710938] [adversarial loss: 1.496993, acc: 0.093750] 26740: [discriminator loss: 0.501222, acc: 0.750000] [adversarial loss: 0.896349, acc: 0.468750] 26741: [discriminator loss: 0.552403, acc: 0.757812] [adversarial loss: 1.532820, acc: 0.109375] 26742: [discriminator loss: 0.546304, acc: 0.687500] [adversarial loss: 1.096517, acc: 0.328125] 26743: [discriminator loss: 0.488849, acc: 0.796875] [adversarial loss: 1.117912, acc: 0.296875] 26744: [discriminator loss: 0.554040, acc: 0.687500] [adversarial loss: 1.251235, acc: 0.187500] 26745: [discriminator loss: 0.498270, acc: 0.734375] [adversarial loss: 1.021930, acc: 0.343750] 26746: [discriminator loss: 0.550124, acc: 0.718750] [adversarial loss: 1.427670, acc: 0.171875] 26747: [discriminator loss: 0.507115, acc: 0.773438] [adversarial loss: 0.991441, acc: 0.390625] 26748: [discriminator loss: 0.528708, acc: 0.718750] [adversarial loss: 1.675172, acc: 0.078125] 26749: [discriminator loss: 0.537669, acc: 0.703125] [adversarial loss: 0.987390, acc: 0.437500] 26750: [discriminator loss: 0.505815, acc: 0.742188] [adversarial loss: 1.520184, acc: 0.218750] 26751: [discriminator loss: 0.617803, acc: 0.664062] [adversarial loss: 1.086277, acc: 0.328125] 26752: [discriminator loss: 0.547663, acc: 0.664062] [adversarial loss: 1.214788, acc: 0.218750] 26753: [discriminator loss: 0.500802, acc: 0.726562] [adversarial loss: 1.175962, acc: 0.265625] 26754: [discriminator loss: 0.552886, acc: 0.726562] [adversarial loss: 1.521064, acc: 0.125000] 26755: [discriminator loss: 0.481277, acc: 0.757812] [adversarial loss: 1.021525, acc: 0.390625] 26756: [discriminator loss: 0.540015, acc: 0.695312] [adversarial loss: 1.251561, acc: 0.156250] 26757: [discriminator loss: 0.583591, acc: 0.609375] [adversarial loss: 0.954956, acc: 0.437500] 26758: [discriminator loss: 0.568025, acc: 0.671875] [adversarial loss: 1.779235, acc: 0.125000] 26759: [discriminator loss: 0.570066, acc: 0.687500] [adversarial loss: 0.828850, acc: 0.515625] 26760: [discriminator loss: 0.609052, acc: 0.679688] [adversarial loss: 1.834066, acc: 0.125000] 26761: [discriminator loss: 0.556757, acc: 0.718750] [adversarial loss: 0.854673, acc: 0.437500] 26762: [discriminator loss: 0.487166, acc: 0.750000] [adversarial loss: 1.323066, acc: 0.203125] 26763: [discriminator loss: 0.521062, acc: 0.757812] [adversarial loss: 0.991956, acc: 0.390625] 26764: [discriminator loss: 0.501496, acc: 0.765625] [adversarial loss: 1.053254, acc: 0.359375] 26765: [discriminator loss: 0.555413, acc: 0.710938] [adversarial loss: 1.102043, acc: 0.250000] 26766: [discriminator loss: 0.534020, acc: 0.710938] [adversarial loss: 1.252248, acc: 0.218750] 26767: [discriminator loss: 0.496561, acc: 0.750000] [adversarial loss: 1.018310, acc: 0.328125] 26768: [discriminator loss: 0.555244, acc: 0.664062] [adversarial loss: 1.578665, acc: 0.156250] 26769: [discriminator loss: 0.501162, acc: 0.734375] [adversarial loss: 0.918394, acc: 0.468750] 26770: [discriminator loss: 0.566655, acc: 0.710938] [adversarial loss: 1.534344, acc: 0.109375] 26771: [discriminator loss: 0.476468, acc: 0.757812] [adversarial loss: 0.940925, acc: 0.359375] 26772: [discriminator loss: 0.439686, acc: 0.804688] [adversarial loss: 1.490666, acc: 0.156250] 26773: [discriminator loss: 0.603584, acc: 0.656250] [adversarial loss: 1.057141, acc: 0.328125] 26774: [discriminator loss: 0.595873, acc: 0.695312] [adversarial loss: 1.359595, acc: 0.062500] 26775: [discriminator loss: 0.459097, acc: 0.796875] [adversarial loss: 1.045702, acc: 0.453125] 26776: [discriminator loss: 0.519777, acc: 0.757812] [adversarial loss: 1.029849, acc: 0.296875] 26777: [discriminator loss: 0.531604, acc: 0.750000] [adversarial loss: 1.145568, acc: 0.312500] 26778: [discriminator loss: 0.543744, acc: 0.718750] [adversarial loss: 1.146202, acc: 0.359375] 26779: [discriminator loss: 0.588411, acc: 0.648438] [adversarial loss: 1.092707, acc: 0.343750] 26780: [discriminator loss: 0.487118, acc: 0.796875] [adversarial loss: 1.192070, acc: 0.187500] 26781: [discriminator loss: 0.459531, acc: 0.789062] [adversarial loss: 1.452669, acc: 0.187500] 26782: [discriminator loss: 0.530877, acc: 0.710938] [adversarial loss: 1.209024, acc: 0.328125] 26783: [discriminator loss: 0.516863, acc: 0.757812] [adversarial loss: 1.516430, acc: 0.109375] 26784: [discriminator loss: 0.531533, acc: 0.687500] [adversarial loss: 0.907862, acc: 0.437500] 26785: [discriminator loss: 0.555559, acc: 0.695312] [adversarial loss: 1.988440, acc: 0.062500] 26786: [discriminator loss: 0.594837, acc: 0.671875] [adversarial loss: 0.807675, acc: 0.500000] 26787: [discriminator loss: 0.569578, acc: 0.726562] [adversarial loss: 1.420275, acc: 0.125000] 26788: [discriminator loss: 0.594468, acc: 0.703125] [adversarial loss: 0.940875, acc: 0.390625] 26789: [discriminator loss: 0.481328, acc: 0.804688] [adversarial loss: 1.196997, acc: 0.265625] 26790: [discriminator loss: 0.567370, acc: 0.734375] [adversarial loss: 1.544546, acc: 0.156250] 26791: [discriminator loss: 0.464446, acc: 0.773438] [adversarial loss: 1.244923, acc: 0.203125] 26792: [discriminator loss: 0.555469, acc: 0.718750] [adversarial loss: 1.321907, acc: 0.218750] 26793: [discriminator loss: 0.513038, acc: 0.773438] [adversarial loss: 1.200200, acc: 0.265625] 26794: [discriminator loss: 0.504117, acc: 0.726562] [adversarial loss: 1.581534, acc: 0.078125] 26795: [discriminator loss: 0.454175, acc: 0.804688] [adversarial loss: 1.223558, acc: 0.187500] 26796: [discriminator loss: 0.484610, acc: 0.781250] [adversarial loss: 1.412136, acc: 0.250000] 26797: [discriminator loss: 0.474033, acc: 0.781250] [adversarial loss: 1.087996, acc: 0.375000] 26798: [discriminator loss: 0.550426, acc: 0.695312] [adversarial loss: 1.205810, acc: 0.281250] 26799: [discriminator loss: 0.618809, acc: 0.609375] [adversarial loss: 1.182961, acc: 0.203125] 26800: [discriminator loss: 0.589535, acc: 0.703125] [adversarial loss: 1.120203, acc: 0.296875] 26801: [discriminator loss: 0.506226, acc: 0.726562] [adversarial loss: 0.942927, acc: 0.375000] 26802: [discriminator loss: 0.565718, acc: 0.710938] [adversarial loss: 1.451896, acc: 0.140625] 26803: [discriminator loss: 0.585874, acc: 0.671875] [adversarial loss: 0.932210, acc: 0.468750] 26804: [discriminator loss: 0.518992, acc: 0.703125] [adversarial loss: 1.556666, acc: 0.156250] 26805: [discriminator loss: 0.559890, acc: 0.703125] [adversarial loss: 0.975087, acc: 0.421875] 26806: [discriminator loss: 0.541363, acc: 0.718750] [adversarial loss: 1.622066, acc: 0.156250] 26807: [discriminator loss: 0.540198, acc: 0.718750] [adversarial loss: 0.955836, acc: 0.437500] 26808: [discriminator loss: 0.536569, acc: 0.726562] [adversarial loss: 1.926446, acc: 0.031250] 26809: [discriminator loss: 0.575733, acc: 0.671875] [adversarial loss: 0.827609, acc: 0.453125] 26810: [discriminator loss: 0.628728, acc: 0.656250] [adversarial loss: 1.613045, acc: 0.078125] 26811: [discriminator loss: 0.616368, acc: 0.687500] [adversarial loss: 0.834435, acc: 0.453125] 26812: [discriminator loss: 0.521234, acc: 0.726562] [adversarial loss: 1.343578, acc: 0.234375] 26813: [discriminator loss: 0.454941, acc: 0.773438] [adversarial loss: 1.339626, acc: 0.125000] 26814: [discriminator loss: 0.537310, acc: 0.703125] [adversarial loss: 1.071966, acc: 0.343750] 26815: [discriminator loss: 0.561399, acc: 0.679688] [adversarial loss: 1.435926, acc: 0.203125] 26816: [discriminator loss: 0.595005, acc: 0.679688] [adversarial loss: 0.973022, acc: 0.328125] 26817: [discriminator loss: 0.524655, acc: 0.750000] [adversarial loss: 1.295942, acc: 0.156250] 26818: [discriminator loss: 0.584663, acc: 0.695312] [adversarial loss: 1.031858, acc: 0.421875] 26819: [discriminator loss: 0.568781, acc: 0.718750] [adversarial loss: 1.541986, acc: 0.218750] 26820: [discriminator loss: 0.664288, acc: 0.593750] [adversarial loss: 0.690315, acc: 0.578125] 26821: [discriminator loss: 0.644084, acc: 0.648438] [adversarial loss: 1.541081, acc: 0.125000] 26822: [discriminator loss: 0.545731, acc: 0.695312] [adversarial loss: 0.888494, acc: 0.484375] 26823: [discriminator loss: 0.554721, acc: 0.656250] [adversarial loss: 1.338165, acc: 0.156250] 26824: [discriminator loss: 0.591120, acc: 0.695312] [adversarial loss: 0.946926, acc: 0.359375] 26825: [discriminator loss: 0.510178, acc: 0.726562] [adversarial loss: 1.388458, acc: 0.203125] 26826: [discriminator loss: 0.530223, acc: 0.703125] [adversarial loss: 1.287114, acc: 0.218750] 26827: [discriminator loss: 0.568727, acc: 0.710938] [adversarial loss: 0.972078, acc: 0.437500] 26828: [discriminator loss: 0.450916, acc: 0.781250] [adversarial loss: 1.243150, acc: 0.156250] 26829: [discriminator loss: 0.507176, acc: 0.781250] [adversarial loss: 1.092138, acc: 0.250000] 26830: [discriminator loss: 0.550588, acc: 0.742188] [adversarial loss: 1.361548, acc: 0.187500] 26831: [discriminator loss: 0.491023, acc: 0.765625] [adversarial loss: 0.918569, acc: 0.453125] 26832: [discriminator loss: 0.561884, acc: 0.742188] [adversarial loss: 1.370561, acc: 0.218750] 26833: [discriminator loss: 0.515533, acc: 0.757812] [adversarial loss: 1.346140, acc: 0.265625] 26834: [discriminator loss: 0.522533, acc: 0.726562] [adversarial loss: 0.877464, acc: 0.500000] 26835: [discriminator loss: 0.548233, acc: 0.710938] [adversarial loss: 1.336465, acc: 0.140625] 26836: [discriminator loss: 0.520810, acc: 0.742188] [adversarial loss: 1.128771, acc: 0.312500] 26837: [discriminator loss: 0.475467, acc: 0.734375] [adversarial loss: 1.232782, acc: 0.234375] 26838: [discriminator loss: 0.523613, acc: 0.742188] [adversarial loss: 1.276082, acc: 0.218750] 26839: [discriminator loss: 0.597278, acc: 0.648438] [adversarial loss: 1.277757, acc: 0.281250] 26840: [discriminator loss: 0.538447, acc: 0.734375] [adversarial loss: 1.390641, acc: 0.156250] 26841: [discriminator loss: 0.550444, acc: 0.679688] [adversarial loss: 1.012967, acc: 0.468750] 26842: [discriminator loss: 0.562744, acc: 0.710938] [adversarial loss: 1.748903, acc: 0.046875] 26843: [discriminator loss: 0.583121, acc: 0.671875] [adversarial loss: 0.804939, acc: 0.515625] 26844: [discriminator loss: 0.604262, acc: 0.664062] [adversarial loss: 1.645668, acc: 0.078125] 26845: [discriminator loss: 0.549303, acc: 0.695312] [adversarial loss: 0.981808, acc: 0.453125] 26846: [discriminator loss: 0.566157, acc: 0.687500] [adversarial loss: 1.039801, acc: 0.343750] 26847: [discriminator loss: 0.503558, acc: 0.750000] [adversarial loss: 1.065634, acc: 0.343750] 26848: [discriminator loss: 0.471358, acc: 0.773438] [adversarial loss: 1.284505, acc: 0.203125] 26849: [discriminator loss: 0.540448, acc: 0.710938] [adversarial loss: 0.986758, acc: 0.359375] 26850: [discriminator loss: 0.572094, acc: 0.695312] [adversarial loss: 1.324160, acc: 0.187500] 26851: [discriminator loss: 0.432541, acc: 0.820312] [adversarial loss: 1.261253, acc: 0.203125] 26852: [discriminator loss: 0.511676, acc: 0.726562] [adversarial loss: 1.754237, acc: 0.062500] 26853: [discriminator loss: 0.610772, acc: 0.656250] [adversarial loss: 0.905125, acc: 0.468750] 26854: [discriminator loss: 0.509813, acc: 0.765625] [adversarial loss: 1.334788, acc: 0.171875] 26855: [discriminator loss: 0.548711, acc: 0.703125] [adversarial loss: 1.112632, acc: 0.406250] 26856: [discriminator loss: 0.490805, acc: 0.742188] [adversarial loss: 1.484077, acc: 0.140625] 26857: [discriminator loss: 0.539130, acc: 0.703125] [adversarial loss: 1.178888, acc: 0.281250] 26858: [discriminator loss: 0.480376, acc: 0.765625] [adversarial loss: 1.304053, acc: 0.156250] 26859: [discriminator loss: 0.494026, acc: 0.773438] [adversarial loss: 1.185748, acc: 0.312500] 26860: [discriminator loss: 0.511799, acc: 0.710938] [adversarial loss: 0.959460, acc: 0.406250] 26861: [discriminator loss: 0.572340, acc: 0.695312] [adversarial loss: 1.409938, acc: 0.140625] 26862: [discriminator loss: 0.506712, acc: 0.781250] [adversarial loss: 0.902511, acc: 0.562500] 26863: [discriminator loss: 0.616409, acc: 0.671875] [adversarial loss: 1.752604, acc: 0.187500] 26864: [discriminator loss: 0.563940, acc: 0.726562] [adversarial loss: 0.885472, acc: 0.453125] 26865: [discriminator loss: 0.494501, acc: 0.757812] [adversarial loss: 1.416012, acc: 0.187500] 26866: [discriminator loss: 0.586895, acc: 0.648438] [adversarial loss: 0.910889, acc: 0.468750] 26867: [discriminator loss: 0.535755, acc: 0.750000] [adversarial loss: 1.162058, acc: 0.265625] 26868: [discriminator loss: 0.580589, acc: 0.679688] [adversarial loss: 1.191937, acc: 0.296875] 26869: [discriminator loss: 0.576190, acc: 0.671875] [adversarial loss: 1.350699, acc: 0.281250] 26870: [discriminator loss: 0.533760, acc: 0.726562] [adversarial loss: 0.914665, acc: 0.421875] 26871: [discriminator loss: 0.545460, acc: 0.718750] [adversarial loss: 1.462079, acc: 0.140625] 26872: [discriminator loss: 0.549671, acc: 0.710938] [adversarial loss: 1.009327, acc: 0.390625] 26873: [discriminator loss: 0.573240, acc: 0.687500] [adversarial loss: 1.551228, acc: 0.171875] 26874: [discriminator loss: 0.535458, acc: 0.703125] [adversarial loss: 1.016007, acc: 0.375000] 26875: [discriminator loss: 0.588593, acc: 0.703125] [adversarial loss: 1.444905, acc: 0.171875] 26876: [discriminator loss: 0.485155, acc: 0.742188] [adversarial loss: 0.863158, acc: 0.500000] 26877: [discriminator loss: 0.568880, acc: 0.695312] [adversarial loss: 1.577715, acc: 0.187500] 26878: [discriminator loss: 0.538949, acc: 0.726562] [adversarial loss: 1.210297, acc: 0.218750] 26879: [discriminator loss: 0.530589, acc: 0.710938] [adversarial loss: 1.404843, acc: 0.156250] 26880: [discriminator loss: 0.509386, acc: 0.781250] [adversarial loss: 1.277167, acc: 0.265625] 26881: [discriminator loss: 0.504601, acc: 0.742188] [adversarial loss: 1.295202, acc: 0.234375] 26882: [discriminator loss: 0.556882, acc: 0.687500] [adversarial loss: 1.133401, acc: 0.296875] 26883: [discriminator loss: 0.465325, acc: 0.765625] [adversarial loss: 1.214830, acc: 0.218750] 26884: [discriminator loss: 0.493180, acc: 0.757812] [adversarial loss: 1.052964, acc: 0.281250] 26885: [discriminator loss: 0.554205, acc: 0.695312] [adversarial loss: 1.388144, acc: 0.140625] 26886: [discriminator loss: 0.505226, acc: 0.773438] [adversarial loss: 1.014378, acc: 0.343750] 26887: [discriminator loss: 0.638130, acc: 0.664062] [adversarial loss: 1.109889, acc: 0.312500] 26888: [discriminator loss: 0.574204, acc: 0.703125] [adversarial loss: 1.092174, acc: 0.312500] 26889: [discriminator loss: 0.524261, acc: 0.718750] [adversarial loss: 1.347950, acc: 0.250000] 26890: [discriminator loss: 0.529282, acc: 0.742188] [adversarial loss: 1.577059, acc: 0.125000] 26891: [discriminator loss: 0.622957, acc: 0.640625] [adversarial loss: 0.982257, acc: 0.390625] 26892: [discriminator loss: 0.521059, acc: 0.718750] [adversarial loss: 1.450829, acc: 0.125000] 26893: [discriminator loss: 0.525408, acc: 0.710938] [adversarial loss: 1.142655, acc: 0.281250] 26894: [discriminator loss: 0.520505, acc: 0.718750] [adversarial loss: 1.577220, acc: 0.156250] 26895: [discriminator loss: 0.525137, acc: 0.734375] [adversarial loss: 1.031120, acc: 0.359375] 26896: [discriminator loss: 0.427926, acc: 0.835938] [adversarial loss: 1.540301, acc: 0.125000] 26897: [discriminator loss: 0.514340, acc: 0.742188] [adversarial loss: 1.215026, acc: 0.203125] 26898: [discriminator loss: 0.523371, acc: 0.726562] [adversarial loss: 1.617990, acc: 0.140625] 26899: [discriminator loss: 0.496077, acc: 0.757812] [adversarial loss: 0.894233, acc: 0.328125] 26900: [discriminator loss: 0.602152, acc: 0.703125] [adversarial loss: 1.694563, acc: 0.078125] 26901: [discriminator loss: 0.663677, acc: 0.601562] [adversarial loss: 0.851325, acc: 0.437500] 26902: [discriminator loss: 0.550828, acc: 0.718750] [adversarial loss: 1.438470, acc: 0.203125] 26903: [discriminator loss: 0.511095, acc: 0.742188] [adversarial loss: 1.114057, acc: 0.312500] 26904: [discriminator loss: 0.581356, acc: 0.703125] [adversarial loss: 1.447258, acc: 0.187500] 26905: [discriminator loss: 0.480374, acc: 0.757812] [adversarial loss: 1.333234, acc: 0.250000] 26906: [discriminator loss: 0.498192, acc: 0.750000] [adversarial loss: 0.929127, acc: 0.406250] 26907: [discriminator loss: 0.504706, acc: 0.757812] [adversarial loss: 1.485256, acc: 0.156250] 26908: [discriminator loss: 0.473018, acc: 0.742188] [adversarial loss: 0.857040, acc: 0.484375] 26909: [discriminator loss: 0.489600, acc: 0.742188] [adversarial loss: 1.278732, acc: 0.312500] 26910: [discriminator loss: 0.576291, acc: 0.640625] [adversarial loss: 0.841897, acc: 0.500000] 26911: [discriminator loss: 0.539094, acc: 0.757812] [adversarial loss: 1.451239, acc: 0.171875] 26912: [discriminator loss: 0.667977, acc: 0.679688] [adversarial loss: 1.323137, acc: 0.203125] 26913: [discriminator loss: 0.498619, acc: 0.742188] [adversarial loss: 1.146800, acc: 0.250000] 26914: [discriminator loss: 0.555825, acc: 0.703125] [adversarial loss: 1.340414, acc: 0.218750] 26915: [discriminator loss: 0.468656, acc: 0.718750] [adversarial loss: 0.935150, acc: 0.375000] 26916: [discriminator loss: 0.545384, acc: 0.710938] [adversarial loss: 1.315426, acc: 0.187500] 26917: [discriminator loss: 0.595909, acc: 0.664062] [adversarial loss: 1.678536, acc: 0.062500] 26918: [discriminator loss: 0.464063, acc: 0.734375] [adversarial loss: 0.769603, acc: 0.515625] 26919: [discriminator loss: 0.560374, acc: 0.695312] [adversarial loss: 1.721961, acc: 0.062500] 26920: [discriminator loss: 0.533870, acc: 0.671875] [adversarial loss: 0.962885, acc: 0.484375] 26921: [discriminator loss: 0.564882, acc: 0.742188] [adversarial loss: 1.486619, acc: 0.109375] 26922: [discriminator loss: 0.523639, acc: 0.750000] [adversarial loss: 0.905834, acc: 0.453125] 26923: [discriminator loss: 0.570896, acc: 0.710938] [adversarial loss: 1.392015, acc: 0.125000] 26924: [discriminator loss: 0.656786, acc: 0.625000] [adversarial loss: 0.907400, acc: 0.421875] 26925: [discriminator loss: 0.497500, acc: 0.757812] [adversarial loss: 1.505304, acc: 0.125000] 26926: [discriminator loss: 0.643238, acc: 0.632812] [adversarial loss: 0.837591, acc: 0.453125] 26927: [discriminator loss: 0.550919, acc: 0.664062] [adversarial loss: 1.899784, acc: 0.078125] 26928: [discriminator loss: 0.597027, acc: 0.687500] [adversarial loss: 0.772194, acc: 0.515625] 26929: [discriminator loss: 0.551503, acc: 0.687500] [adversarial loss: 1.558172, acc: 0.125000] 26930: [discriminator loss: 0.546757, acc: 0.679688] [adversarial loss: 1.061118, acc: 0.406250] 26931: [discriminator loss: 0.567098, acc: 0.718750] [adversarial loss: 1.110855, acc: 0.343750] 26932: [discriminator loss: 0.527729, acc: 0.695312] [adversarial loss: 1.231598, acc: 0.312500] 26933: [discriminator loss: 0.552380, acc: 0.734375] [adversarial loss: 1.357143, acc: 0.156250] 26934: [discriminator loss: 0.557659, acc: 0.726562] [adversarial loss: 1.049381, acc: 0.296875] 26935: [discriminator loss: 0.528286, acc: 0.687500] [adversarial loss: 1.304724, acc: 0.265625] 26936: [discriminator loss: 0.562283, acc: 0.695312] [adversarial loss: 0.940777, acc: 0.421875] 26937: [discriminator loss: 0.592481, acc: 0.664062] [adversarial loss: 0.977420, acc: 0.359375] 26938: [discriminator loss: 0.529296, acc: 0.750000] [adversarial loss: 1.043668, acc: 0.296875] 26939: [discriminator loss: 0.532736, acc: 0.750000] [adversarial loss: 1.546520, acc: 0.125000] 26940: [discriminator loss: 0.589863, acc: 0.664062] [adversarial loss: 0.907235, acc: 0.453125] 26941: [discriminator loss: 0.571172, acc: 0.734375] [adversarial loss: 1.584182, acc: 0.109375] 26942: [discriminator loss: 0.491560, acc: 0.757812] [adversarial loss: 1.047928, acc: 0.343750] 26943: [discriminator loss: 0.549199, acc: 0.695312] [adversarial loss: 1.356453, acc: 0.218750] 26944: [discriminator loss: 0.548627, acc: 0.734375] [adversarial loss: 1.180778, acc: 0.250000] 26945: [discriminator loss: 0.505085, acc: 0.757812] [adversarial loss: 1.078393, acc: 0.296875] 26946: [discriminator loss: 0.539467, acc: 0.757812] [adversarial loss: 1.352732, acc: 0.265625] 26947: [discriminator loss: 0.533788, acc: 0.734375] [adversarial loss: 1.226854, acc: 0.296875] 26948: [discriminator loss: 0.519171, acc: 0.789062] [adversarial loss: 1.186225, acc: 0.234375] 26949: [discriminator loss: 0.577968, acc: 0.703125] [adversarial loss: 0.918726, acc: 0.343750] 26950: [discriminator loss: 0.496018, acc: 0.750000] [adversarial loss: 1.598605, acc: 0.109375] 26951: [discriminator loss: 0.500318, acc: 0.742188] [adversarial loss: 0.879206, acc: 0.437500] 26952: [discriminator loss: 0.601001, acc: 0.710938] [adversarial loss: 1.712612, acc: 0.078125] 26953: [discriminator loss: 0.524306, acc: 0.742188] [adversarial loss: 1.120403, acc: 0.265625] 26954: [discriminator loss: 0.542850, acc: 0.726562] [adversarial loss: 1.366831, acc: 0.218750] 26955: [discriminator loss: 0.426422, acc: 0.796875] [adversarial loss: 1.109380, acc: 0.281250] 26956: [discriminator loss: 0.458273, acc: 0.812500] [adversarial loss: 1.004370, acc: 0.359375] 26957: [discriminator loss: 0.613190, acc: 0.679688] [adversarial loss: 1.358014, acc: 0.218750] 26958: [discriminator loss: 0.485050, acc: 0.734375] [adversarial loss: 1.182325, acc: 0.250000] 26959: [discriminator loss: 0.562384, acc: 0.742188] [adversarial loss: 1.157969, acc: 0.234375] 26960: [discriminator loss: 0.567730, acc: 0.695312] [adversarial loss: 1.440106, acc: 0.234375] 26961: [discriminator loss: 0.494651, acc: 0.750000] [adversarial loss: 1.047651, acc: 0.437500] 26962: [discriminator loss: 0.491286, acc: 0.796875] [adversarial loss: 1.003432, acc: 0.375000] 26963: [discriminator loss: 0.612059, acc: 0.671875] [adversarial loss: 1.215954, acc: 0.281250] 26964: [discriminator loss: 0.507444, acc: 0.734375] [adversarial loss: 1.384257, acc: 0.171875] 26965: [discriminator loss: 0.543505, acc: 0.718750] [adversarial loss: 1.104171, acc: 0.312500] 26966: [discriminator loss: 0.568367, acc: 0.656250] [adversarial loss: 1.542502, acc: 0.125000] 26967: [discriminator loss: 0.563551, acc: 0.734375] [adversarial loss: 0.949609, acc: 0.421875] 26968: [discriminator loss: 0.533380, acc: 0.757812] [adversarial loss: 1.622562, acc: 0.109375] 26969: [discriminator loss: 0.505146, acc: 0.726562] [adversarial loss: 0.764445, acc: 0.546875] 26970: [discriminator loss: 0.576728, acc: 0.734375] [adversarial loss: 1.887075, acc: 0.046875] 26971: [discriminator loss: 0.564103, acc: 0.703125] [adversarial loss: 0.805714, acc: 0.531250] 26972: [discriminator loss: 0.607047, acc: 0.656250] [adversarial loss: 1.773744, acc: 0.078125] 26973: [discriminator loss: 0.583927, acc: 0.687500] [adversarial loss: 0.906826, acc: 0.406250] 26974: [discriminator loss: 0.558328, acc: 0.664062] [adversarial loss: 1.617625, acc: 0.140625] 26975: [discriminator loss: 0.527345, acc: 0.703125] [adversarial loss: 1.082767, acc: 0.359375] 26976: [discriminator loss: 0.504174, acc: 0.781250] [adversarial loss: 1.231452, acc: 0.296875] 26977: [discriminator loss: 0.525979, acc: 0.773438] [adversarial loss: 1.073563, acc: 0.265625] 26978: [discriminator loss: 0.502494, acc: 0.750000] [adversarial loss: 0.992459, acc: 0.390625] 26979: [discriminator loss: 0.550293, acc: 0.742188] [adversarial loss: 1.135905, acc: 0.343750] 26980: [discriminator loss: 0.580837, acc: 0.710938] [adversarial loss: 0.896650, acc: 0.390625] 26981: [discriminator loss: 0.524368, acc: 0.734375] [adversarial loss: 1.356720, acc: 0.187500] 26982: [discriminator loss: 0.504449, acc: 0.757812] [adversarial loss: 0.924822, acc: 0.328125] 26983: [discriminator loss: 0.536249, acc: 0.718750] [adversarial loss: 1.350580, acc: 0.156250] 26984: [discriminator loss: 0.568851, acc: 0.734375] [adversarial loss: 0.952841, acc: 0.421875] 26985: [discriminator loss: 0.551577, acc: 0.726562] [adversarial loss: 1.593512, acc: 0.140625] 26986: [discriminator loss: 0.604103, acc: 0.679688] [adversarial loss: 1.178877, acc: 0.328125] 26987: [discriminator loss: 0.504510, acc: 0.750000] [adversarial loss: 1.237693, acc: 0.250000] 26988: [discriminator loss: 0.507409, acc: 0.750000] [adversarial loss: 1.153474, acc: 0.328125] 26989: [discriminator loss: 0.473967, acc: 0.773438] [adversarial loss: 1.450449, acc: 0.203125] 26990: [discriminator loss: 0.517045, acc: 0.750000] [adversarial loss: 1.051857, acc: 0.390625] 26991: [discriminator loss: 0.533795, acc: 0.734375] [adversarial loss: 1.717561, acc: 0.093750] 26992: [discriminator loss: 0.509896, acc: 0.765625] [adversarial loss: 1.028400, acc: 0.375000] 26993: [discriminator loss: 0.489534, acc: 0.757812] [adversarial loss: 1.544583, acc: 0.156250] 26994: [discriminator loss: 0.572109, acc: 0.671875] [adversarial loss: 0.877172, acc: 0.421875] 26995: [discriminator loss: 0.589338, acc: 0.703125] [adversarial loss: 1.549158, acc: 0.125000] 26996: [discriminator loss: 0.543330, acc: 0.726562] [adversarial loss: 0.841049, acc: 0.515625] 26997: [discriminator loss: 0.502649, acc: 0.757812] [adversarial loss: 1.466042, acc: 0.109375] 26998: [discriminator loss: 0.558646, acc: 0.648438] [adversarial loss: 1.032359, acc: 0.359375] 26999: [discriminator loss: 0.510858, acc: 0.757812] [adversarial loss: 1.211980, acc: 0.390625] 27000: [discriminator loss: 0.550759, acc: 0.742188] [adversarial loss: 1.302707, acc: 0.265625] 27001: [discriminator loss: 0.560308, acc: 0.679688] [adversarial loss: 1.410101, acc: 0.281250] 27002: [discriminator loss: 0.516270, acc: 0.750000] [adversarial loss: 1.015149, acc: 0.343750] 27003: [discriminator loss: 0.455198, acc: 0.804688] [adversarial loss: 1.564612, acc: 0.125000] 27004: [discriminator loss: 0.523720, acc: 0.687500] [adversarial loss: 1.107150, acc: 0.312500] 27005: [discriminator loss: 0.633718, acc: 0.695312] [adversarial loss: 1.355980, acc: 0.250000] 27006: [discriminator loss: 0.530678, acc: 0.710938] [adversarial loss: 0.817235, acc: 0.531250] 27007: [discriminator loss: 0.597211, acc: 0.656250] [adversarial loss: 1.519853, acc: 0.171875] 27008: [discriminator loss: 0.537947, acc: 0.718750] [adversarial loss: 1.037296, acc: 0.359375] 27009: [discriminator loss: 0.556791, acc: 0.687500] [adversarial loss: 1.496400, acc: 0.078125] 27010: [discriminator loss: 0.514719, acc: 0.703125] [adversarial loss: 0.851412, acc: 0.531250] 27011: [discriminator loss: 0.615052, acc: 0.664062] [adversarial loss: 1.640603, acc: 0.125000] 27012: [discriminator loss: 0.572949, acc: 0.656250] [adversarial loss: 0.979805, acc: 0.390625] 27013: [discriminator loss: 0.487267, acc: 0.796875] [adversarial loss: 1.362170, acc: 0.203125] 27014: [discriminator loss: 0.569542, acc: 0.687500] [adversarial loss: 1.064658, acc: 0.312500] 27015: [discriminator loss: 0.507638, acc: 0.734375] [adversarial loss: 1.136371, acc: 0.203125] 27016: [discriminator loss: 0.505060, acc: 0.734375] [adversarial loss: 1.548479, acc: 0.156250] 27017: [discriminator loss: 0.552731, acc: 0.703125] [adversarial loss: 1.193366, acc: 0.359375] 27018: [discriminator loss: 0.529194, acc: 0.695312] [adversarial loss: 1.291842, acc: 0.187500] 27019: [discriminator loss: 0.524878, acc: 0.750000] [adversarial loss: 1.053124, acc: 0.359375] 27020: [discriminator loss: 0.487260, acc: 0.765625] [adversarial loss: 1.274803, acc: 0.250000] 27021: [discriminator loss: 0.460430, acc: 0.804688] [adversarial loss: 1.241200, acc: 0.203125] 27022: [discriminator loss: 0.482970, acc: 0.757812] [adversarial loss: 1.319799, acc: 0.218750] 27023: [discriminator loss: 0.583002, acc: 0.687500] [adversarial loss: 0.971931, acc: 0.375000] 27024: [discriminator loss: 0.562972, acc: 0.718750] [adversarial loss: 1.778313, acc: 0.062500] 27025: [discriminator loss: 0.632599, acc: 0.593750] [adversarial loss: 0.700487, acc: 0.640625] 27026: [discriminator loss: 0.573673, acc: 0.750000] [adversarial loss: 1.785051, acc: 0.093750] 27027: [discriminator loss: 0.524971, acc: 0.734375] [adversarial loss: 0.888498, acc: 0.390625] 27028: [discriminator loss: 0.499176, acc: 0.750000] [adversarial loss: 1.323700, acc: 0.234375] 27029: [discriminator loss: 0.571401, acc: 0.718750] [adversarial loss: 1.081508, acc: 0.328125] 27030: [discriminator loss: 0.483208, acc: 0.757812] [adversarial loss: 1.259374, acc: 0.171875] 27031: [discriminator loss: 0.534701, acc: 0.718750] [adversarial loss: 1.097769, acc: 0.265625] 27032: [discriminator loss: 0.463944, acc: 0.812500] [adversarial loss: 1.302536, acc: 0.062500] 27033: [discriminator loss: 0.536663, acc: 0.687500] [adversarial loss: 1.017494, acc: 0.343750] 27034: [discriminator loss: 0.492245, acc: 0.765625] [adversarial loss: 1.377940, acc: 0.171875] 27035: [discriminator loss: 0.554432, acc: 0.664062] [adversarial loss: 1.055360, acc: 0.281250] 27036: [discriminator loss: 0.507522, acc: 0.703125] [adversarial loss: 1.538041, acc: 0.140625] 27037: [discriminator loss: 0.533167, acc: 0.750000] [adversarial loss: 0.935548, acc: 0.390625] 27038: [discriminator loss: 0.595479, acc: 0.687500] [adversarial loss: 1.955683, acc: 0.062500] 27039: [discriminator loss: 0.543557, acc: 0.703125] [adversarial loss: 0.933834, acc: 0.421875] 27040: [discriminator loss: 0.594296, acc: 0.671875] [adversarial loss: 1.469667, acc: 0.187500] 27041: [discriminator loss: 0.546759, acc: 0.679688] [adversarial loss: 0.824774, acc: 0.500000] 27042: [discriminator loss: 0.503983, acc: 0.742188] [adversarial loss: 1.322034, acc: 0.203125] 27043: [discriminator loss: 0.529378, acc: 0.648438] [adversarial loss: 0.959641, acc: 0.375000] 27044: [discriminator loss: 0.555148, acc: 0.695312] [adversarial loss: 1.646335, acc: 0.187500] 27045: [discriminator loss: 0.516906, acc: 0.742188] [adversarial loss: 0.824734, acc: 0.468750] 27046: [discriminator loss: 0.573492, acc: 0.710938] [adversarial loss: 1.405496, acc: 0.171875] 27047: [discriminator loss: 0.518687, acc: 0.718750] [adversarial loss: 0.957991, acc: 0.437500] 27048: [discriminator loss: 0.469960, acc: 0.750000] [adversarial loss: 1.381564, acc: 0.171875] 27049: [discriminator loss: 0.508798, acc: 0.710938] [adversarial loss: 0.969437, acc: 0.421875] 27050: [discriminator loss: 0.565364, acc: 0.695312] [adversarial loss: 1.148365, acc: 0.281250] 27051: [discriminator loss: 0.477725, acc: 0.757812] [adversarial loss: 1.377905, acc: 0.203125] 27052: [discriminator loss: 0.505878, acc: 0.750000] [adversarial loss: 1.372036, acc: 0.203125] 27053: [discriminator loss: 0.450928, acc: 0.773438] [adversarial loss: 1.051576, acc: 0.343750] 27054: [discriminator loss: 0.545010, acc: 0.742188] [adversarial loss: 1.124733, acc: 0.281250] 27055: [discriminator loss: 0.542111, acc: 0.734375] [adversarial loss: 1.354744, acc: 0.203125] 27056: [discriminator loss: 0.535744, acc: 0.742188] [adversarial loss: 1.093686, acc: 0.437500] 27057: [discriminator loss: 0.516868, acc: 0.750000] [adversarial loss: 1.138845, acc: 0.281250] 27058: [discriminator loss: 0.538524, acc: 0.695312] [adversarial loss: 1.118093, acc: 0.312500] 27059: [discriminator loss: 0.484880, acc: 0.773438] [adversarial loss: 0.823836, acc: 0.437500] 27060: [discriminator loss: 0.490019, acc: 0.765625] [adversarial loss: 1.576060, acc: 0.187500] 27061: [discriminator loss: 0.525437, acc: 0.695312] [adversarial loss: 0.761907, acc: 0.531250] 27062: [discriminator loss: 0.600334, acc: 0.664062] [adversarial loss: 2.016032, acc: 0.046875] 27063: [discriminator loss: 0.617712, acc: 0.679688] [adversarial loss: 0.915400, acc: 0.484375] 27064: [discriminator loss: 0.446855, acc: 0.804688] [adversarial loss: 1.371203, acc: 0.203125] 27065: [discriminator loss: 0.498753, acc: 0.750000] [adversarial loss: 0.996741, acc: 0.437500] 27066: [discriminator loss: 0.493973, acc: 0.726562] [adversarial loss: 1.243838, acc: 0.296875] 27067: [discriminator loss: 0.572127, acc: 0.718750] [adversarial loss: 1.343287, acc: 0.218750] 27068: [discriminator loss: 0.491410, acc: 0.726562] [adversarial loss: 1.214993, acc: 0.296875] 27069: [discriminator loss: 0.493459, acc: 0.773438] [adversarial loss: 1.560973, acc: 0.265625] 27070: [discriminator loss: 0.552801, acc: 0.687500] [adversarial loss: 1.120856, acc: 0.281250] 27071: [discriminator loss: 0.538808, acc: 0.726562] [adversarial loss: 1.389232, acc: 0.187500] 27072: [discriminator loss: 0.573409, acc: 0.664062] [adversarial loss: 1.041251, acc: 0.359375] 27073: [discriminator loss: 0.481889, acc: 0.765625] [adversarial loss: 1.171300, acc: 0.218750] 27074: [discriminator loss: 0.460923, acc: 0.812500] [adversarial loss: 1.267639, acc: 0.203125] 27075: [discriminator loss: 0.536950, acc: 0.710938] [adversarial loss: 1.544591, acc: 0.093750] 27076: [discriminator loss: 0.521946, acc: 0.750000] [adversarial loss: 0.841720, acc: 0.500000] 27077: [discriminator loss: 0.549897, acc: 0.710938] [adversarial loss: 1.491506, acc: 0.093750] 27078: [discriminator loss: 0.590562, acc: 0.687500] [adversarial loss: 1.169200, acc: 0.250000] 27079: [discriminator loss: 0.565929, acc: 0.734375] [adversarial loss: 1.150427, acc: 0.265625] 27080: [discriminator loss: 0.565243, acc: 0.671875] [adversarial loss: 1.128038, acc: 0.312500] 27081: [discriminator loss: 0.402889, acc: 0.875000] [adversarial loss: 1.147841, acc: 0.265625] 27082: [discriminator loss: 0.519613, acc: 0.750000] [adversarial loss: 1.347220, acc: 0.281250] 27083: [discriminator loss: 0.547458, acc: 0.703125] [adversarial loss: 1.254564, acc: 0.234375] 27084: [discriminator loss: 0.585611, acc: 0.710938] [adversarial loss: 1.335031, acc: 0.203125] 27085: [discriminator loss: 0.477550, acc: 0.765625] [adversarial loss: 0.774935, acc: 0.562500] 27086: [discriminator loss: 0.635136, acc: 0.679688] [adversarial loss: 1.736670, acc: 0.093750] 27087: [discriminator loss: 0.580330, acc: 0.656250] [adversarial loss: 0.756639, acc: 0.546875] 27088: [discriminator loss: 0.541830, acc: 0.679688] [adversarial loss: 1.640541, acc: 0.078125] 27089: [discriminator loss: 0.565465, acc: 0.703125] [adversarial loss: 0.952664, acc: 0.468750] 27090: [discriminator loss: 0.560369, acc: 0.710938] [adversarial loss: 1.403110, acc: 0.250000] 27091: [discriminator loss: 0.566339, acc: 0.726562] [adversarial loss: 1.067917, acc: 0.359375] 27092: [discriminator loss: 0.504941, acc: 0.742188] [adversarial loss: 1.335826, acc: 0.218750] 27093: [discriminator loss: 0.509043, acc: 0.726562] [adversarial loss: 1.250055, acc: 0.218750] 27094: [discriminator loss: 0.509394, acc: 0.773438] [adversarial loss: 1.295842, acc: 0.250000] 27095: [discriminator loss: 0.484597, acc: 0.789062] [adversarial loss: 1.105282, acc: 0.281250] 27096: [discriminator loss: 0.503303, acc: 0.726562] [adversarial loss: 1.230938, acc: 0.343750] 27097: [discriminator loss: 0.606475, acc: 0.687500] [adversarial loss: 1.046367, acc: 0.359375] 27098: [discriminator loss: 0.578920, acc: 0.671875] [adversarial loss: 1.199480, acc: 0.234375] 27099: [discriminator loss: 0.520864, acc: 0.734375] [adversarial loss: 0.986060, acc: 0.359375] 27100: [discriminator loss: 0.543672, acc: 0.742188] [adversarial loss: 1.369650, acc: 0.171875] 27101: [discriminator loss: 0.582650, acc: 0.703125] [adversarial loss: 0.985490, acc: 0.406250] 27102: [discriminator loss: 0.570844, acc: 0.718750] [adversarial loss: 1.481589, acc: 0.093750] 27103: [discriminator loss: 0.610440, acc: 0.679688] [adversarial loss: 0.914052, acc: 0.468750] 27104: [discriminator loss: 0.600978, acc: 0.679688] [adversarial loss: 1.306323, acc: 0.203125] 27105: [discriminator loss: 0.519974, acc: 0.734375] [adversarial loss: 1.135038, acc: 0.312500] 27106: [discriminator loss: 0.548925, acc: 0.718750] [adversarial loss: 1.457234, acc: 0.093750] 27107: [discriminator loss: 0.483079, acc: 0.773438] [adversarial loss: 1.036167, acc: 0.359375] 27108: [discriminator loss: 0.603300, acc: 0.648438] [adversarial loss: 1.283968, acc: 0.203125] 27109: [discriminator loss: 0.522185, acc: 0.742188] [adversarial loss: 1.470675, acc: 0.187500] 27110: [discriminator loss: 0.454930, acc: 0.765625] [adversarial loss: 1.071489, acc: 0.328125] 27111: [discriminator loss: 0.468853, acc: 0.750000] [adversarial loss: 1.814748, acc: 0.046875] 27112: [discriminator loss: 0.513934, acc: 0.726562] [adversarial loss: 0.991344, acc: 0.375000] 27113: [discriminator loss: 0.611964, acc: 0.664062] [adversarial loss: 1.565233, acc: 0.093750] 27114: [discriminator loss: 0.544094, acc: 0.710938] [adversarial loss: 0.934137, acc: 0.437500] 27115: [discriminator loss: 0.621403, acc: 0.625000] [adversarial loss: 1.418953, acc: 0.203125] 27116: [discriminator loss: 0.597514, acc: 0.703125] [adversarial loss: 0.966981, acc: 0.390625] 27117: [discriminator loss: 0.558361, acc: 0.710938] [adversarial loss: 1.298816, acc: 0.171875] 27118: [discriminator loss: 0.532591, acc: 0.726562] [adversarial loss: 1.170402, acc: 0.203125] 27119: [discriminator loss: 0.536892, acc: 0.734375] [adversarial loss: 1.420190, acc: 0.187500] 27120: [discriminator loss: 0.539490, acc: 0.750000] [adversarial loss: 1.507583, acc: 0.125000] 27121: [discriminator loss: 0.547063, acc: 0.679688] [adversarial loss: 0.908852, acc: 0.421875] 27122: [discriminator loss: 0.575621, acc: 0.664062] [adversarial loss: 1.614815, acc: 0.109375] 27123: [discriminator loss: 0.504204, acc: 0.687500] [adversarial loss: 1.024762, acc: 0.343750] 27124: [discriminator loss: 0.579591, acc: 0.734375] [adversarial loss: 1.651540, acc: 0.093750] 27125: [discriminator loss: 0.596650, acc: 0.609375] [adversarial loss: 1.102148, acc: 0.218750] 27126: [discriminator loss: 0.488291, acc: 0.773438] [adversarial loss: 1.365130, acc: 0.218750] 27127: [discriminator loss: 0.502993, acc: 0.718750] [adversarial loss: 1.158903, acc: 0.281250] 27128: [discriminator loss: 0.511366, acc: 0.742188] [adversarial loss: 1.049665, acc: 0.328125] 27129: [discriminator loss: 0.461368, acc: 0.781250] [adversarial loss: 1.523929, acc: 0.140625] 27130: [discriminator loss: 0.537889, acc: 0.734375] [adversarial loss: 0.917532, acc: 0.390625] 27131: [discriminator loss: 0.605184, acc: 0.656250] [adversarial loss: 1.766721, acc: 0.093750] 27132: [discriminator loss: 0.541279, acc: 0.648438] [adversarial loss: 1.010997, acc: 0.421875] 27133: [discriminator loss: 0.564401, acc: 0.695312] [adversarial loss: 1.487769, acc: 0.171875] 27134: [discriminator loss: 0.564636, acc: 0.664062] [adversarial loss: 0.800801, acc: 0.515625] 27135: [discriminator loss: 0.547930, acc: 0.734375] [adversarial loss: 1.711842, acc: 0.062500] 27136: [discriminator loss: 0.512211, acc: 0.734375] [adversarial loss: 1.080106, acc: 0.250000] 27137: [discriminator loss: 0.552081, acc: 0.750000] [adversarial loss: 1.023417, acc: 0.453125] 27138: [discriminator loss: 0.498320, acc: 0.773438] [adversarial loss: 1.434752, acc: 0.203125] 27139: [discriminator loss: 0.548605, acc: 0.679688] [adversarial loss: 1.137319, acc: 0.265625] 27140: [discriminator loss: 0.565581, acc: 0.687500] [adversarial loss: 1.075563, acc: 0.375000] 27141: [discriminator loss: 0.452444, acc: 0.789062] [adversarial loss: 1.399981, acc: 0.140625] 27142: [discriminator loss: 0.512917, acc: 0.757812] [adversarial loss: 1.074739, acc: 0.343750] 27143: [discriminator loss: 0.502523, acc: 0.750000] [adversarial loss: 1.539818, acc: 0.171875] 27144: [discriminator loss: 0.528501, acc: 0.742188] [adversarial loss: 1.004060, acc: 0.359375] 27145: [discriminator loss: 0.549306, acc: 0.710938] [adversarial loss: 1.406059, acc: 0.203125] 27146: [discriminator loss: 0.513899, acc: 0.734375] [adversarial loss: 1.131581, acc: 0.312500] 27147: [discriminator loss: 0.546534, acc: 0.742188] [adversarial loss: 1.139184, acc: 0.281250] 27148: [discriminator loss: 0.475851, acc: 0.796875] [adversarial loss: 1.081469, acc: 0.328125] 27149: [discriminator loss: 0.476660, acc: 0.773438] [adversarial loss: 1.525594, acc: 0.125000] 27150: [discriminator loss: 0.508739, acc: 0.734375] [adversarial loss: 0.996393, acc: 0.343750] 27151: [discriminator loss: 0.634208, acc: 0.679688] [adversarial loss: 1.482663, acc: 0.187500] 27152: [discriminator loss: 0.580011, acc: 0.671875] [adversarial loss: 0.946090, acc: 0.390625] 27153: [discriminator loss: 0.609636, acc: 0.679688] [adversarial loss: 1.483958, acc: 0.171875] 27154: [discriminator loss: 0.532462, acc: 0.742188] [adversarial loss: 0.863433, acc: 0.515625] 27155: [discriminator loss: 0.513709, acc: 0.718750] [adversarial loss: 1.375311, acc: 0.234375] 27156: [discriminator loss: 0.514345, acc: 0.765625] [adversarial loss: 1.207524, acc: 0.343750] 27157: [discriminator loss: 0.485330, acc: 0.765625] [adversarial loss: 1.529225, acc: 0.125000] 27158: [discriminator loss: 0.557402, acc: 0.710938] [adversarial loss: 0.903736, acc: 0.484375] 27159: [discriminator loss: 0.468697, acc: 0.781250] [adversarial loss: 1.656940, acc: 0.171875] 27160: [discriminator loss: 0.527073, acc: 0.765625] [adversarial loss: 0.779423, acc: 0.515625] 27161: [discriminator loss: 0.591578, acc: 0.664062] [adversarial loss: 1.623627, acc: 0.156250] 27162: [discriminator loss: 0.558966, acc: 0.687500] [adversarial loss: 0.891211, acc: 0.578125] 27163: [discriminator loss: 0.595089, acc: 0.679688] [adversarial loss: 1.269230, acc: 0.234375] 27164: [discriminator loss: 0.542703, acc: 0.679688] [adversarial loss: 0.866178, acc: 0.421875] 27165: [discriminator loss: 0.541961, acc: 0.734375] [adversarial loss: 1.310928, acc: 0.156250] 27166: [discriminator loss: 0.503588, acc: 0.757812] [adversarial loss: 1.012523, acc: 0.421875] 27167: [discriminator loss: 0.579967, acc: 0.710938] [adversarial loss: 1.281631, acc: 0.125000] 27168: [discriminator loss: 0.492444, acc: 0.781250] [adversarial loss: 1.030973, acc: 0.406250] 27169: [discriminator loss: 0.539374, acc: 0.703125] [adversarial loss: 1.516760, acc: 0.203125] 27170: [discriminator loss: 0.489649, acc: 0.750000] [adversarial loss: 0.940105, acc: 0.359375] 27171: [discriminator loss: 0.518155, acc: 0.757812] [adversarial loss: 1.382166, acc: 0.156250] 27172: [discriminator loss: 0.568701, acc: 0.742188] [adversarial loss: 1.210106, acc: 0.250000] 27173: [discriminator loss: 0.515512, acc: 0.742188] [adversarial loss: 1.294914, acc: 0.187500] 27174: [discriminator loss: 0.478839, acc: 0.789062] [adversarial loss: 1.058446, acc: 0.328125] 27175: [discriminator loss: 0.577416, acc: 0.695312] [adversarial loss: 1.279345, acc: 0.203125] 27176: [discriminator loss: 0.594105, acc: 0.703125] [adversarial loss: 1.048319, acc: 0.296875] 27177: [discriminator loss: 0.548960, acc: 0.703125] [adversarial loss: 1.277483, acc: 0.265625] 27178: [discriminator loss: 0.462169, acc: 0.812500] [adversarial loss: 1.254785, acc: 0.296875] 27179: [discriminator loss: 0.548981, acc: 0.726562] [adversarial loss: 1.180954, acc: 0.250000] 27180: [discriminator loss: 0.458035, acc: 0.765625] [adversarial loss: 1.365255, acc: 0.109375] 27181: [discriminator loss: 0.597437, acc: 0.679688] [adversarial loss: 0.966071, acc: 0.359375] 27182: [discriminator loss: 0.468964, acc: 0.750000] [adversarial loss: 2.009232, acc: 0.046875] 27183: [discriminator loss: 0.579117, acc: 0.671875] [adversarial loss: 1.021503, acc: 0.359375] 27184: [discriminator loss: 0.601592, acc: 0.671875] [adversarial loss: 1.627473, acc: 0.078125] 27185: [discriminator loss: 0.529716, acc: 0.710938] [adversarial loss: 1.105268, acc: 0.312500] 27186: [discriminator loss: 0.577075, acc: 0.679688] [adversarial loss: 1.433669, acc: 0.171875] 27187: [discriminator loss: 0.556801, acc: 0.648438] [adversarial loss: 0.926529, acc: 0.453125] 27188: [discriminator loss: 0.510695, acc: 0.734375] [adversarial loss: 1.331966, acc: 0.156250] 27189: [discriminator loss: 0.519786, acc: 0.703125] [adversarial loss: 1.222200, acc: 0.250000] 27190: [discriminator loss: 0.540909, acc: 0.726562] [adversarial loss: 1.434408, acc: 0.156250] 27191: [discriminator loss: 0.511389, acc: 0.710938] [adversarial loss: 0.917279, acc: 0.468750] 27192: [discriminator loss: 0.563743, acc: 0.750000] [adversarial loss: 1.666817, acc: 0.109375] 27193: [discriminator loss: 0.578923, acc: 0.695312] [adversarial loss: 1.097435, acc: 0.312500] 27194: [discriminator loss: 0.490371, acc: 0.750000] [adversarial loss: 1.322088, acc: 0.203125] 27195: [discriminator loss: 0.515990, acc: 0.718750] [adversarial loss: 1.019373, acc: 0.343750] 27196: [discriminator loss: 0.492831, acc: 0.750000] [adversarial loss: 1.306856, acc: 0.187500] 27197: [discriminator loss: 0.508845, acc: 0.671875] [adversarial loss: 0.879245, acc: 0.515625] 27198: [discriminator loss: 0.526356, acc: 0.742188] [adversarial loss: 1.390148, acc: 0.265625] 27199: [discriminator loss: 0.482344, acc: 0.757812] [adversarial loss: 1.215667, acc: 0.296875] 27200: [discriminator loss: 0.475583, acc: 0.734375] [adversarial loss: 1.185706, acc: 0.312500] 27201: [discriminator loss: 0.454368, acc: 0.804688] [adversarial loss: 1.361127, acc: 0.171875] 27202: [discriminator loss: 0.505273, acc: 0.726562] [adversarial loss: 1.113247, acc: 0.328125] 27203: [discriminator loss: 0.583447, acc: 0.695312] [adversarial loss: 1.575895, acc: 0.062500] 27204: [discriminator loss: 0.513154, acc: 0.757812] [adversarial loss: 1.156368, acc: 0.312500] 27205: [discriminator loss: 0.566274, acc: 0.671875] [adversarial loss: 1.350348, acc: 0.265625] 27206: [discriminator loss: 0.503324, acc: 0.765625] [adversarial loss: 1.249334, acc: 0.296875] 27207: [discriminator loss: 0.545223, acc: 0.703125] [adversarial loss: 1.381124, acc: 0.187500] 27208: [discriminator loss: 0.541176, acc: 0.710938] [adversarial loss: 0.919929, acc: 0.437500] 27209: [discriminator loss: 0.550998, acc: 0.750000] [adversarial loss: 2.006527, acc: 0.046875] 27210: [discriminator loss: 0.584832, acc: 0.679688] [adversarial loss: 0.971089, acc: 0.375000] 27211: [discriminator loss: 0.605681, acc: 0.703125] [adversarial loss: 1.621746, acc: 0.078125] 27212: [discriminator loss: 0.529616, acc: 0.695312] [adversarial loss: 0.845208, acc: 0.468750] 27213: [discriminator loss: 0.561189, acc: 0.687500] [adversarial loss: 1.421713, acc: 0.171875] 27214: [discriminator loss: 0.548805, acc: 0.726562] [adversarial loss: 1.048349, acc: 0.328125] 27215: [discriminator loss: 0.564382, acc: 0.695312] [adversarial loss: 1.264101, acc: 0.187500] 27216: [discriminator loss: 0.511984, acc: 0.757812] [adversarial loss: 1.014232, acc: 0.359375] 27217: [discriminator loss: 0.515837, acc: 0.789062] [adversarial loss: 1.254340, acc: 0.265625] 27218: [discriminator loss: 0.483700, acc: 0.773438] [adversarial loss: 1.100303, acc: 0.281250] 27219: [discriminator loss: 0.472291, acc: 0.789062] [adversarial loss: 1.129866, acc: 0.375000] 27220: [discriminator loss: 0.490349, acc: 0.796875] [adversarial loss: 1.544888, acc: 0.140625] 27221: [discriminator loss: 0.541427, acc: 0.710938] [adversarial loss: 0.901772, acc: 0.515625] 27222: [discriminator loss: 0.558411, acc: 0.734375] [adversarial loss: 1.647483, acc: 0.140625] 27223: [discriminator loss: 0.596011, acc: 0.671875] [adversarial loss: 0.819954, acc: 0.515625] 27224: [discriminator loss: 0.575914, acc: 0.710938] [adversarial loss: 1.628594, acc: 0.156250] 27225: [discriminator loss: 0.563462, acc: 0.687500] [adversarial loss: 0.788062, acc: 0.531250] 27226: [discriminator loss: 0.591205, acc: 0.679688] [adversarial loss: 1.795229, acc: 0.093750] 27227: [discriminator loss: 0.590797, acc: 0.679688] [adversarial loss: 0.986773, acc: 0.359375] 27228: [discriminator loss: 0.494339, acc: 0.757812] [adversarial loss: 1.279981, acc: 0.250000] 27229: [discriminator loss: 0.527366, acc: 0.734375] [adversarial loss: 1.375966, acc: 0.171875] 27230: [discriminator loss: 0.589748, acc: 0.695312] [adversarial loss: 0.948078, acc: 0.359375] 27231: [discriminator loss: 0.597644, acc: 0.664062] [adversarial loss: 1.365780, acc: 0.250000] 27232: [discriminator loss: 0.524000, acc: 0.718750] [adversarial loss: 0.991452, acc: 0.343750] 27233: [discriminator loss: 0.607289, acc: 0.710938] [adversarial loss: 1.346311, acc: 0.234375] 27234: [discriminator loss: 0.497921, acc: 0.781250] [adversarial loss: 0.972372, acc: 0.500000] 27235: [discriminator loss: 0.460928, acc: 0.789062] [adversarial loss: 1.639237, acc: 0.125000] 27236: [discriminator loss: 0.553075, acc: 0.718750] [adversarial loss: 1.042432, acc: 0.359375] 27237: [discriminator loss: 0.546146, acc: 0.710938] [adversarial loss: 1.400304, acc: 0.171875] 27238: [discriminator loss: 0.510804, acc: 0.742188] [adversarial loss: 1.162279, acc: 0.250000] 27239: [discriminator loss: 0.505333, acc: 0.742188] [adversarial loss: 1.136297, acc: 0.312500] 27240: [discriminator loss: 0.538310, acc: 0.726562] [adversarial loss: 1.214595, acc: 0.234375] 27241: [discriminator loss: 0.545841, acc: 0.742188] [adversarial loss: 0.947853, acc: 0.390625] 27242: [discriminator loss: 0.516818, acc: 0.718750] [adversarial loss: 1.171957, acc: 0.265625] 27243: [discriminator loss: 0.533198, acc: 0.742188] [adversarial loss: 1.191716, acc: 0.281250] 27244: [discriminator loss: 0.540930, acc: 0.734375] [adversarial loss: 1.637249, acc: 0.046875] 27245: [discriminator loss: 0.537916, acc: 0.656250] [adversarial loss: 0.770682, acc: 0.546875] 27246: [discriminator loss: 0.570265, acc: 0.703125] [adversarial loss: 1.587520, acc: 0.140625] 27247: [discriminator loss: 0.508169, acc: 0.726562] [adversarial loss: 0.842458, acc: 0.484375] 27248: [discriminator loss: 0.520816, acc: 0.765625] [adversarial loss: 1.677046, acc: 0.125000] 27249: [discriminator loss: 0.546595, acc: 0.718750] [adversarial loss: 0.897705, acc: 0.437500] 27250: [discriminator loss: 0.552841, acc: 0.695312] [adversarial loss: 1.767988, acc: 0.078125] 27251: [discriminator loss: 0.580383, acc: 0.695312] [adversarial loss: 1.014076, acc: 0.296875] 27252: [discriminator loss: 0.524388, acc: 0.757812] [adversarial loss: 0.939663, acc: 0.437500] 27253: [discriminator loss: 0.587454, acc: 0.734375] [adversarial loss: 1.379543, acc: 0.203125] 27254: [discriminator loss: 0.489940, acc: 0.796875] [adversarial loss: 1.235670, acc: 0.171875] 27255: [discriminator loss: 0.529978, acc: 0.664062] [adversarial loss: 0.961966, acc: 0.453125] 27256: [discriminator loss: 0.537257, acc: 0.742188] [adversarial loss: 0.964193, acc: 0.328125] 27257: [discriminator loss: 0.507479, acc: 0.734375] [adversarial loss: 1.105666, acc: 0.250000] 27258: [discriminator loss: 0.579060, acc: 0.742188] [adversarial loss: 1.119405, acc: 0.218750] 27259: [discriminator loss: 0.479597, acc: 0.804688] [adversarial loss: 1.250880, acc: 0.203125] 27260: [discriminator loss: 0.484193, acc: 0.757812] [adversarial loss: 1.151878, acc: 0.312500] 27261: [discriminator loss: 0.474273, acc: 0.789062] [adversarial loss: 1.174822, acc: 0.250000] 27262: [discriminator loss: 0.575673, acc: 0.640625] [adversarial loss: 0.984722, acc: 0.390625] 27263: [discriminator loss: 0.522933, acc: 0.765625] [adversarial loss: 1.384828, acc: 0.250000] 27264: [discriminator loss: 0.504248, acc: 0.703125] [adversarial loss: 1.174194, acc: 0.281250] 27265: [discriminator loss: 0.466626, acc: 0.789062] [adversarial loss: 1.189206, acc: 0.312500] 27266: [discriminator loss: 0.581675, acc: 0.671875] [adversarial loss: 1.516051, acc: 0.093750] 27267: [discriminator loss: 0.592958, acc: 0.664062] [adversarial loss: 1.022055, acc: 0.406250] 27268: [discriminator loss: 0.562356, acc: 0.679688] [adversarial loss: 1.582090, acc: 0.109375] 27269: [discriminator loss: 0.548943, acc: 0.726562] [adversarial loss: 0.906370, acc: 0.515625] 27270: [discriminator loss: 0.572346, acc: 0.679688] [adversarial loss: 1.832900, acc: 0.093750] 27271: [discriminator loss: 0.549955, acc: 0.710938] [adversarial loss: 0.696914, acc: 0.593750] 27272: [discriminator loss: 0.522111, acc: 0.750000] [adversarial loss: 1.530351, acc: 0.140625] 27273: [discriminator loss: 0.556883, acc: 0.695312] [adversarial loss: 1.377659, acc: 0.156250] 27274: [discriminator loss: 0.556094, acc: 0.687500] [adversarial loss: 1.108690, acc: 0.296875] 27275: [discriminator loss: 0.550890, acc: 0.687500] [adversarial loss: 1.383472, acc: 0.218750] 27276: [discriminator loss: 0.537079, acc: 0.718750] [adversarial loss: 1.157172, acc: 0.281250] 27277: [discriminator loss: 0.550986, acc: 0.726562] [adversarial loss: 1.246602, acc: 0.187500] 27278: [discriminator loss: 0.537243, acc: 0.773438] [adversarial loss: 1.681910, acc: 0.078125] 27279: [discriminator loss: 0.550777, acc: 0.742188] [adversarial loss: 0.848672, acc: 0.515625] 27280: [discriminator loss: 0.553351, acc: 0.742188] [adversarial loss: 1.583250, acc: 0.078125] 27281: [discriminator loss: 0.591690, acc: 0.687500] [adversarial loss: 0.881889, acc: 0.500000] 27282: [discriminator loss: 0.542213, acc: 0.789062] [adversarial loss: 1.503447, acc: 0.125000] 27283: [discriminator loss: 0.586814, acc: 0.710938] [adversarial loss: 1.202653, acc: 0.265625] 27284: [discriminator loss: 0.514462, acc: 0.734375] [adversarial loss: 1.365061, acc: 0.234375] 27285: [discriminator loss: 0.533808, acc: 0.703125] [adversarial loss: 1.107931, acc: 0.281250] 27286: [discriminator loss: 0.559037, acc: 0.687500] [adversarial loss: 1.504818, acc: 0.062500] 27287: [discriminator loss: 0.590493, acc: 0.671875] [adversarial loss: 1.072721, acc: 0.328125] 27288: [discriminator loss: 0.552421, acc: 0.703125] [adversarial loss: 1.675431, acc: 0.078125] 27289: [discriminator loss: 0.566892, acc: 0.656250] [adversarial loss: 0.853079, acc: 0.500000] 27290: [discriminator loss: 0.566007, acc: 0.687500] [adversarial loss: 1.485302, acc: 0.125000] 27291: [discriminator loss: 0.578470, acc: 0.718750] [adversarial loss: 1.068715, acc: 0.343750] 27292: [discriminator loss: 0.558446, acc: 0.710938] [adversarial loss: 1.202370, acc: 0.296875] 27293: [discriminator loss: 0.513104, acc: 0.718750] [adversarial loss: 1.282262, acc: 0.296875] 27294: [discriminator loss: 0.470665, acc: 0.781250] [adversarial loss: 1.829854, acc: 0.062500] 27295: [discriminator loss: 0.531194, acc: 0.726562] [adversarial loss: 1.079621, acc: 0.359375] 27296: [discriminator loss: 0.519855, acc: 0.718750] [adversarial loss: 1.281169, acc: 0.171875] 27297: [discriminator loss: 0.581838, acc: 0.703125] [adversarial loss: 1.402967, acc: 0.156250] 27298: [discriminator loss: 0.457169, acc: 0.796875] [adversarial loss: 1.117958, acc: 0.265625] 27299: [discriminator loss: 0.517638, acc: 0.710938] [adversarial loss: 1.369595, acc: 0.187500] 27300: [discriminator loss: 0.500367, acc: 0.726562] [adversarial loss: 0.905798, acc: 0.468750] 27301: [discriminator loss: 0.558181, acc: 0.726562] [adversarial loss: 1.525291, acc: 0.171875] 27302: [discriminator loss: 0.540410, acc: 0.734375] [adversarial loss: 1.120000, acc: 0.328125] 27303: [discriminator loss: 0.502420, acc: 0.734375] [adversarial loss: 1.630880, acc: 0.140625] 27304: [discriminator loss: 0.567252, acc: 0.703125] [adversarial loss: 0.770169, acc: 0.500000] 27305: [discriminator loss: 0.533596, acc: 0.742188] [adversarial loss: 1.457416, acc: 0.171875] 27306: [discriminator loss: 0.542661, acc: 0.695312] [adversarial loss: 0.862360, acc: 0.484375] 27307: [discriminator loss: 0.513592, acc: 0.734375] [adversarial loss: 1.717530, acc: 0.078125] 27308: [discriminator loss: 0.661852, acc: 0.640625] [adversarial loss: 0.952929, acc: 0.343750] 27309: [discriminator loss: 0.572093, acc: 0.726562] [adversarial loss: 1.287680, acc: 0.265625] 27310: [discriminator loss: 0.484325, acc: 0.773438] [adversarial loss: 1.181301, acc: 0.281250] 27311: [discriminator loss: 0.481512, acc: 0.820312] [adversarial loss: 0.961105, acc: 0.375000] 27312: [discriminator loss: 0.484383, acc: 0.781250] [adversarial loss: 1.224876, acc: 0.203125] 27313: [discriminator loss: 0.543253, acc: 0.703125] [adversarial loss: 1.098186, acc: 0.218750] 27314: [discriminator loss: 0.534184, acc: 0.718750] [adversarial loss: 1.356328, acc: 0.250000] 27315: [discriminator loss: 0.512428, acc: 0.734375] [adversarial loss: 1.003164, acc: 0.296875] 27316: [discriminator loss: 0.470288, acc: 0.765625] [adversarial loss: 1.517526, acc: 0.218750] 27317: [discriminator loss: 0.616654, acc: 0.609375] [adversarial loss: 1.210176, acc: 0.203125] 27318: [discriminator loss: 0.519342, acc: 0.734375] [adversarial loss: 1.320361, acc: 0.265625] 27319: [discriminator loss: 0.494630, acc: 0.734375] [adversarial loss: 0.940835, acc: 0.437500] 27320: [discriminator loss: 0.484312, acc: 0.742188] [adversarial loss: 1.458639, acc: 0.156250] 27321: [discriminator loss: 0.487061, acc: 0.757812] [adversarial loss: 1.301520, acc: 0.265625] 27322: [discriminator loss: 0.503728, acc: 0.734375] [adversarial loss: 1.231999, acc: 0.156250] 27323: [discriminator loss: 0.555330, acc: 0.710938] [adversarial loss: 1.182788, acc: 0.375000] 27324: [discriminator loss: 0.545236, acc: 0.656250] [adversarial loss: 1.290325, acc: 0.203125] 27325: [discriminator loss: 0.527777, acc: 0.734375] [adversarial loss: 0.894377, acc: 0.437500] 27326: [discriminator loss: 0.567618, acc: 0.695312] [adversarial loss: 1.592400, acc: 0.125000] 27327: [discriminator loss: 0.483984, acc: 0.734375] [adversarial loss: 0.929786, acc: 0.406250] 27328: [discriminator loss: 0.470150, acc: 0.773438] [adversarial loss: 1.492208, acc: 0.156250] 27329: [discriminator loss: 0.560539, acc: 0.679688] [adversarial loss: 1.068078, acc: 0.437500] 27330: [discriminator loss: 0.481473, acc: 0.750000] [adversarial loss: 1.599422, acc: 0.109375] 27331: [discriminator loss: 0.530893, acc: 0.734375] [adversarial loss: 1.055923, acc: 0.343750] 27332: [discriminator loss: 0.477319, acc: 0.750000] [adversarial loss: 1.280031, acc: 0.171875] 27333: [discriminator loss: 0.530840, acc: 0.726562] [adversarial loss: 1.124522, acc: 0.328125] 27334: [discriminator loss: 0.539940, acc: 0.664062] [adversarial loss: 1.390635, acc: 0.140625] 27335: [discriminator loss: 0.535096, acc: 0.710938] [adversarial loss: 0.882650, acc: 0.421875] 27336: [discriminator loss: 0.552546, acc: 0.734375] [adversarial loss: 1.518650, acc: 0.109375] 27337: [discriminator loss: 0.530457, acc: 0.718750] [adversarial loss: 0.971796, acc: 0.343750] 27338: [discriminator loss: 0.569685, acc: 0.710938] [adversarial loss: 1.509465, acc: 0.140625] 27339: [discriminator loss: 0.524380, acc: 0.757812] [adversarial loss: 0.942845, acc: 0.437500] 27340: [discriminator loss: 0.543236, acc: 0.726562] [adversarial loss: 1.464917, acc: 0.093750] 27341: [discriminator loss: 0.498323, acc: 0.742188] [adversarial loss: 1.380320, acc: 0.187500] 27342: [discriminator loss: 0.572482, acc: 0.695312] [adversarial loss: 0.984805, acc: 0.421875] 27343: [discriminator loss: 0.506388, acc: 0.773438] [adversarial loss: 1.187151, acc: 0.281250] 27344: [discriminator loss: 0.551348, acc: 0.710938] [adversarial loss: 1.131267, acc: 0.281250] 27345: [discriminator loss: 0.591795, acc: 0.656250] [adversarial loss: 1.464198, acc: 0.156250] 27346: [discriminator loss: 0.505227, acc: 0.703125] [adversarial loss: 0.782359, acc: 0.578125] 27347: [discriminator loss: 0.530946, acc: 0.734375] [adversarial loss: 1.425854, acc: 0.203125] 27348: [discriminator loss: 0.524503, acc: 0.726562] [adversarial loss: 1.021461, acc: 0.312500] 27349: [discriminator loss: 0.482864, acc: 0.750000] [adversarial loss: 1.082457, acc: 0.281250] 27350: [discriminator loss: 0.600384, acc: 0.671875] [adversarial loss: 1.120742, acc: 0.234375] 27351: [discriminator loss: 0.531451, acc: 0.765625] [adversarial loss: 1.112185, acc: 0.312500] 27352: [discriminator loss: 0.516477, acc: 0.718750] [adversarial loss: 1.202288, acc: 0.234375] 27353: [discriminator loss: 0.502542, acc: 0.765625] [adversarial loss: 1.427303, acc: 0.234375] 27354: [discriminator loss: 0.531202, acc: 0.765625] [adversarial loss: 1.356171, acc: 0.171875] 27355: [discriminator loss: 0.496597, acc: 0.726562] [adversarial loss: 1.093896, acc: 0.328125] 27356: [discriminator loss: 0.516727, acc: 0.742188] [adversarial loss: 1.113217, acc: 0.265625] 27357: [discriminator loss: 0.512967, acc: 0.679688] [adversarial loss: 1.315420, acc: 0.296875] 27358: [discriminator loss: 0.506255, acc: 0.734375] [adversarial loss: 1.193229, acc: 0.265625] 27359: [discriminator loss: 0.488156, acc: 0.734375] [adversarial loss: 1.306948, acc: 0.265625] 27360: [discriminator loss: 0.541292, acc: 0.765625] [adversarial loss: 0.806379, acc: 0.484375] 27361: [discriminator loss: 0.636988, acc: 0.632812] [adversarial loss: 1.910230, acc: 0.078125] 27362: [discriminator loss: 0.582368, acc: 0.671875] [adversarial loss: 0.978975, acc: 0.406250] 27363: [discriminator loss: 0.577764, acc: 0.687500] [adversarial loss: 1.719477, acc: 0.062500] 27364: [discriminator loss: 0.617798, acc: 0.664062] [adversarial loss: 0.816858, acc: 0.515625] 27365: [discriminator loss: 0.589088, acc: 0.710938] [adversarial loss: 1.661417, acc: 0.046875] 27366: [discriminator loss: 0.523081, acc: 0.718750] [adversarial loss: 0.906535, acc: 0.453125] 27367: [discriminator loss: 0.521781, acc: 0.726562] [adversarial loss: 1.698753, acc: 0.109375] 27368: [discriminator loss: 0.524624, acc: 0.734375] [adversarial loss: 0.929865, acc: 0.453125] 27369: [discriminator loss: 0.515368, acc: 0.757812] [adversarial loss: 1.438350, acc: 0.203125] 27370: [discriminator loss: 0.595087, acc: 0.632812] [adversarial loss: 0.950084, acc: 0.421875] 27371: [discriminator loss: 0.545942, acc: 0.750000] [adversarial loss: 1.428257, acc: 0.125000] 27372: [discriminator loss: 0.542359, acc: 0.679688] [adversarial loss: 0.862149, acc: 0.500000] 27373: [discriminator loss: 0.516388, acc: 0.687500] [adversarial loss: 1.408082, acc: 0.218750] 27374: [discriminator loss: 0.528496, acc: 0.664062] [adversarial loss: 1.183966, acc: 0.250000] 27375: [discriminator loss: 0.528724, acc: 0.773438] [adversarial loss: 1.407739, acc: 0.156250] 27376: [discriminator loss: 0.464769, acc: 0.765625] [adversarial loss: 1.199576, acc: 0.328125] 27377: [discriminator loss: 0.512452, acc: 0.734375] [adversarial loss: 1.465486, acc: 0.156250] 27378: [discriminator loss: 0.568548, acc: 0.742188] [adversarial loss: 1.082747, acc: 0.343750] 27379: [discriminator loss: 0.550348, acc: 0.765625] [adversarial loss: 1.387504, acc: 0.187500] 27380: [discriminator loss: 0.488481, acc: 0.750000] [adversarial loss: 0.983065, acc: 0.421875] 27381: [discriminator loss: 0.517795, acc: 0.718750] [adversarial loss: 1.519292, acc: 0.250000] 27382: [discriminator loss: 0.569362, acc: 0.671875] [adversarial loss: 1.011989, acc: 0.359375] 27383: [discriminator loss: 0.445948, acc: 0.781250] [adversarial loss: 1.369420, acc: 0.203125] 27384: [discriminator loss: 0.577058, acc: 0.664062] [adversarial loss: 1.275978, acc: 0.250000] 27385: [discriminator loss: 0.511296, acc: 0.757812] [adversarial loss: 1.300885, acc: 0.265625] 27386: [discriminator loss: 0.448465, acc: 0.789062] [adversarial loss: 0.906019, acc: 0.390625] 27387: [discriminator loss: 0.517838, acc: 0.750000] [adversarial loss: 1.579461, acc: 0.187500] 27388: [discriminator loss: 0.525836, acc: 0.734375] [adversarial loss: 0.873068, acc: 0.406250] 27389: [discriminator loss: 0.612553, acc: 0.671875] [adversarial loss: 1.624954, acc: 0.203125] 27390: [discriminator loss: 0.603070, acc: 0.656250] [adversarial loss: 0.791805, acc: 0.578125] 27391: [discriminator loss: 0.644004, acc: 0.687500] [adversarial loss: 1.191143, acc: 0.203125] 27392: [discriminator loss: 0.508298, acc: 0.773438] [adversarial loss: 1.040072, acc: 0.328125] 27393: [discriminator loss: 0.475279, acc: 0.742188] [adversarial loss: 1.264643, acc: 0.250000] 27394: [discriminator loss: 0.511012, acc: 0.718750] [adversarial loss: 0.786409, acc: 0.578125] 27395: [discriminator loss: 0.551017, acc: 0.734375] [adversarial loss: 1.469157, acc: 0.140625] 27396: [discriminator loss: 0.602833, acc: 0.687500] [adversarial loss: 1.144006, acc: 0.343750] 27397: [discriminator loss: 0.545441, acc: 0.656250] [adversarial loss: 1.361166, acc: 0.203125] 27398: [discriminator loss: 0.495764, acc: 0.734375] [adversarial loss: 1.099459, acc: 0.281250] 27399: [discriminator loss: 0.528546, acc: 0.734375] [adversarial loss: 1.287286, acc: 0.218750] 27400: [discriminator loss: 0.560351, acc: 0.718750] [adversarial loss: 1.272212, acc: 0.265625] 27401: [discriminator loss: 0.563815, acc: 0.703125] [adversarial loss: 1.228824, acc: 0.203125] 27402: [discriminator loss: 0.456058, acc: 0.781250] [adversarial loss: 0.942608, acc: 0.359375] 27403: [discriminator loss: 0.564114, acc: 0.679688] [adversarial loss: 1.692328, acc: 0.078125] 27404: [discriminator loss: 0.539047, acc: 0.695312] [adversarial loss: 1.067527, acc: 0.390625] 27405: [discriminator loss: 0.593014, acc: 0.648438] [adversarial loss: 1.375430, acc: 0.156250] 27406: [discriminator loss: 0.527680, acc: 0.679688] [adversarial loss: 0.995109, acc: 0.437500] 27407: [discriminator loss: 0.496214, acc: 0.796875] [adversarial loss: 1.461495, acc: 0.140625] 27408: [discriminator loss: 0.524560, acc: 0.718750] [adversarial loss: 1.227711, acc: 0.250000] 27409: [discriminator loss: 0.535453, acc: 0.742188] [adversarial loss: 1.372291, acc: 0.218750] 27410: [discriminator loss: 0.507084, acc: 0.726562] [adversarial loss: 1.134652, acc: 0.281250] 27411: [discriminator loss: 0.496932, acc: 0.765625] [adversarial loss: 1.145359, acc: 0.234375] 27412: [discriminator loss: 0.501516, acc: 0.718750] [adversarial loss: 1.269710, acc: 0.265625] 27413: [discriminator loss: 0.510318, acc: 0.742188] [adversarial loss: 1.163318, acc: 0.265625] 27414: [discriminator loss: 0.531867, acc: 0.726562] [adversarial loss: 1.226359, acc: 0.140625] 27415: [discriminator loss: 0.498577, acc: 0.773438] [adversarial loss: 1.076156, acc: 0.359375] 27416: [discriminator loss: 0.594462, acc: 0.648438] [adversarial loss: 0.993154, acc: 0.437500] 27417: [discriminator loss: 0.572479, acc: 0.726562] [adversarial loss: 1.347324, acc: 0.234375] 27418: [discriminator loss: 0.522192, acc: 0.750000] [adversarial loss: 0.905557, acc: 0.406250] 27419: [discriminator loss: 0.609340, acc: 0.687500] [adversarial loss: 1.743646, acc: 0.109375] 27420: [discriminator loss: 0.740539, acc: 0.609375] [adversarial loss: 0.652218, acc: 0.671875] 27421: [discriminator loss: 0.624335, acc: 0.648438] [adversarial loss: 1.625044, acc: 0.109375] 27422: [discriminator loss: 0.637771, acc: 0.585938] [adversarial loss: 1.038749, acc: 0.343750] 27423: [discriminator loss: 0.540279, acc: 0.750000] [adversarial loss: 1.167244, acc: 0.234375] 27424: [discriminator loss: 0.541327, acc: 0.710938] [adversarial loss: 1.197752, acc: 0.281250] 27425: [discriminator loss: 0.516451, acc: 0.765625] [adversarial loss: 1.390728, acc: 0.156250] 27426: [discriminator loss: 0.535179, acc: 0.671875] [adversarial loss: 1.131681, acc: 0.296875] 27427: [discriminator loss: 0.542074, acc: 0.726562] [adversarial loss: 1.162383, acc: 0.187500] 27428: [discriminator loss: 0.583143, acc: 0.703125] [adversarial loss: 1.329502, acc: 0.187500] 27429: [discriminator loss: 0.532742, acc: 0.765625] [adversarial loss: 1.066824, acc: 0.265625] 27430: [discriminator loss: 0.550639, acc: 0.703125] [adversarial loss: 1.596657, acc: 0.109375] 27431: [discriminator loss: 0.564416, acc: 0.703125] [adversarial loss: 1.164356, acc: 0.296875] 27432: [discriminator loss: 0.511173, acc: 0.750000] [adversarial loss: 1.456781, acc: 0.187500] 27433: [discriminator loss: 0.575066, acc: 0.695312] [adversarial loss: 0.711124, acc: 0.562500] 27434: [discriminator loss: 0.652925, acc: 0.632812] [adversarial loss: 1.740994, acc: 0.093750] 27435: [discriminator loss: 0.565710, acc: 0.664062] [adversarial loss: 0.930861, acc: 0.375000] 27436: [discriminator loss: 0.520693, acc: 0.750000] [adversarial loss: 1.555354, acc: 0.093750] 27437: [discriminator loss: 0.559765, acc: 0.703125] [adversarial loss: 0.946320, acc: 0.437500] 27438: [discriminator loss: 0.527351, acc: 0.726562] [adversarial loss: 1.145983, acc: 0.296875] 27439: [discriminator loss: 0.578693, acc: 0.687500] [adversarial loss: 1.246805, acc: 0.234375] 27440: [discriminator loss: 0.547601, acc: 0.726562] [adversarial loss: 1.193240, acc: 0.234375] 27441: [discriminator loss: 0.548342, acc: 0.726562] [adversarial loss: 1.126251, acc: 0.296875] 27442: [discriminator loss: 0.508436, acc: 0.789062] [adversarial loss: 1.212788, acc: 0.203125] 27443: [discriminator loss: 0.526590, acc: 0.710938] [adversarial loss: 1.101459, acc: 0.312500] 27444: [discriminator loss: 0.493041, acc: 0.750000] [adversarial loss: 1.313206, acc: 0.203125] 27445: [discriminator loss: 0.488782, acc: 0.765625] [adversarial loss: 1.163792, acc: 0.234375] 27446: [discriminator loss: 0.492024, acc: 0.750000] [adversarial loss: 1.201317, acc: 0.187500] 27447: [discriminator loss: 0.555732, acc: 0.679688] [adversarial loss: 1.159385, acc: 0.312500] 27448: [discriminator loss: 0.510072, acc: 0.765625] [adversarial loss: 1.504338, acc: 0.156250] 27449: [discriminator loss: 0.474260, acc: 0.773438] [adversarial loss: 0.924347, acc: 0.359375] 27450: [discriminator loss: 0.565850, acc: 0.718750] [adversarial loss: 1.536484, acc: 0.093750] 27451: [discriminator loss: 0.512033, acc: 0.695312] [adversarial loss: 1.013295, acc: 0.421875] 27452: [discriminator loss: 0.527071, acc: 0.718750] [adversarial loss: 1.615510, acc: 0.125000] 27453: [discriminator loss: 0.537518, acc: 0.726562] [adversarial loss: 1.339540, acc: 0.156250] 27454: [discriminator loss: 0.593047, acc: 0.671875] [adversarial loss: 1.171951, acc: 0.234375] 27455: [discriminator loss: 0.531018, acc: 0.718750] [adversarial loss: 1.340531, acc: 0.140625] 27456: [discriminator loss: 0.545132, acc: 0.710938] [adversarial loss: 0.842180, acc: 0.453125] 27457: [discriminator loss: 0.547704, acc: 0.687500] [adversarial loss: 1.659306, acc: 0.046875] 27458: [discriminator loss: 0.534274, acc: 0.710938] [adversarial loss: 0.893750, acc: 0.500000] 27459: [discriminator loss: 0.583557, acc: 0.687500] [adversarial loss: 1.535575, acc: 0.093750] 27460: [discriminator loss: 0.515196, acc: 0.773438] [adversarial loss: 1.118928, acc: 0.296875] 27461: [discriminator loss: 0.512780, acc: 0.734375] [adversarial loss: 1.432846, acc: 0.203125] 27462: [discriminator loss: 0.525367, acc: 0.734375] [adversarial loss: 1.492955, acc: 0.156250] 27463: [discriminator loss: 0.553482, acc: 0.773438] [adversarial loss: 1.100043, acc: 0.343750] 27464: [discriminator loss: 0.530402, acc: 0.734375] [adversarial loss: 1.289326, acc: 0.234375] 27465: [discriminator loss: 0.500331, acc: 0.742188] [adversarial loss: 1.198378, acc: 0.218750] 27466: [discriminator loss: 0.508500, acc: 0.734375] [adversarial loss: 1.104599, acc: 0.265625] 27467: [discriminator loss: 0.497084, acc: 0.710938] [adversarial loss: 1.141158, acc: 0.265625] 27468: [discriminator loss: 0.498632, acc: 0.718750] [adversarial loss: 1.562300, acc: 0.156250] 27469: [discriminator loss: 0.540713, acc: 0.679688] [adversarial loss: 0.900120, acc: 0.468750] 27470: [discriminator loss: 0.520337, acc: 0.726562] [adversarial loss: 1.576710, acc: 0.156250] 27471: [discriminator loss: 0.525387, acc: 0.734375] [adversarial loss: 0.882339, acc: 0.453125] 27472: [discriminator loss: 0.592420, acc: 0.695312] [adversarial loss: 1.755329, acc: 0.109375] 27473: [discriminator loss: 0.566073, acc: 0.671875] [adversarial loss: 1.035789, acc: 0.296875] 27474: [discriminator loss: 0.518957, acc: 0.703125] [adversarial loss: 1.599778, acc: 0.093750] 27475: [discriminator loss: 0.595050, acc: 0.648438] [adversarial loss: 0.855207, acc: 0.421875] 27476: [discriminator loss: 0.476755, acc: 0.773438] [adversarial loss: 1.581178, acc: 0.109375] 27477: [discriminator loss: 0.550716, acc: 0.695312] [adversarial loss: 1.075448, acc: 0.343750] 27478: [discriminator loss: 0.516641, acc: 0.757812] [adversarial loss: 1.436103, acc: 0.109375] 27479: [discriminator loss: 0.487882, acc: 0.757812] [adversarial loss: 1.149653, acc: 0.265625] 27480: [discriminator loss: 0.537057, acc: 0.734375] [adversarial loss: 1.375139, acc: 0.218750] 27481: [discriminator loss: 0.519010, acc: 0.703125] [adversarial loss: 1.115148, acc: 0.296875] 27482: [discriminator loss: 0.496233, acc: 0.734375] [adversarial loss: 1.427055, acc: 0.265625] 27483: [discriminator loss: 0.590720, acc: 0.679688] [adversarial loss: 1.290311, acc: 0.250000] 27484: [discriminator loss: 0.487549, acc: 0.765625] [adversarial loss: 1.209664, acc: 0.312500] 27485: [discriminator loss: 0.511042, acc: 0.750000] [adversarial loss: 1.325000, acc: 0.171875] 27486: [discriminator loss: 0.569841, acc: 0.687500] [adversarial loss: 1.005997, acc: 0.359375] 27487: [discriminator loss: 0.552236, acc: 0.671875] [adversarial loss: 1.255016, acc: 0.312500] 27488: [discriminator loss: 0.485296, acc: 0.757812] [adversarial loss: 1.097863, acc: 0.281250] 27489: [discriminator loss: 0.571794, acc: 0.710938] [adversarial loss: 1.783576, acc: 0.046875] 27490: [discriminator loss: 0.610236, acc: 0.671875] [adversarial loss: 0.914632, acc: 0.312500] 27491: [discriminator loss: 0.611068, acc: 0.679688] [adversarial loss: 1.731998, acc: 0.125000] 27492: [discriminator loss: 0.607495, acc: 0.718750] [adversarial loss: 0.769292, acc: 0.562500] 27493: [discriminator loss: 0.600636, acc: 0.656250] [adversarial loss: 1.618770, acc: 0.109375] 27494: [discriminator loss: 0.575733, acc: 0.695312] [adversarial loss: 1.035360, acc: 0.281250] 27495: [discriminator loss: 0.540629, acc: 0.734375] [adversarial loss: 1.249897, acc: 0.203125] 27496: [discriminator loss: 0.463939, acc: 0.765625] [adversarial loss: 1.148880, acc: 0.250000] 27497: [discriminator loss: 0.581490, acc: 0.671875] [adversarial loss: 1.547416, acc: 0.046875] 27498: [discriminator loss: 0.566460, acc: 0.703125] [adversarial loss: 1.054334, acc: 0.390625] 27499: [discriminator loss: 0.530404, acc: 0.710938] [adversarial loss: 1.344473, acc: 0.171875] 27500: [discriminator loss: 0.506074, acc: 0.703125] [adversarial loss: 1.110129, acc: 0.359375] 27501: [discriminator loss: 0.541732, acc: 0.726562] [adversarial loss: 1.243830, acc: 0.203125] 27502: [discriminator loss: 0.471037, acc: 0.765625] [adversarial loss: 1.257638, acc: 0.312500] 27503: [discriminator loss: 0.567891, acc: 0.695312] [adversarial loss: 1.444874, acc: 0.171875] 27504: [discriminator loss: 0.556405, acc: 0.671875] [adversarial loss: 0.754941, acc: 0.546875] 27505: [discriminator loss: 0.467033, acc: 0.765625] [adversarial loss: 1.742417, acc: 0.140625] 27506: [discriminator loss: 0.543489, acc: 0.718750] [adversarial loss: 0.942606, acc: 0.359375] 27507: [discriminator loss: 0.595845, acc: 0.656250] [adversarial loss: 1.627080, acc: 0.046875] 27508: [discriminator loss: 0.569288, acc: 0.687500] [adversarial loss: 0.904182, acc: 0.500000] 27509: [discriminator loss: 0.554721, acc: 0.703125] [adversarial loss: 1.717651, acc: 0.109375] 27510: [discriminator loss: 0.515890, acc: 0.726562] [adversarial loss: 1.184850, acc: 0.250000] 27511: [discriminator loss: 0.496593, acc: 0.773438] [adversarial loss: 1.281356, acc: 0.250000] 27512: [discriminator loss: 0.536830, acc: 0.750000] [adversarial loss: 0.936959, acc: 0.390625] 27513: [discriminator loss: 0.506514, acc: 0.734375] [adversarial loss: 1.503450, acc: 0.031250] 27514: [discriminator loss: 0.540756, acc: 0.695312] [adversarial loss: 0.936476, acc: 0.484375] 27515: [discriminator loss: 0.581177, acc: 0.710938] [adversarial loss: 1.849669, acc: 0.046875] 27516: [discriminator loss: 0.566649, acc: 0.656250] [adversarial loss: 0.984867, acc: 0.281250] 27517: [discriminator loss: 0.511326, acc: 0.718750] [adversarial loss: 1.136611, acc: 0.281250] 27518: [discriminator loss: 0.543833, acc: 0.695312] [adversarial loss: 1.514488, acc: 0.125000] 27519: [discriminator loss: 0.519003, acc: 0.734375] [adversarial loss: 1.081306, acc: 0.296875] 27520: [discriminator loss: 0.514830, acc: 0.750000] [adversarial loss: 1.615250, acc: 0.031250] 27521: [discriminator loss: 0.583492, acc: 0.671875] [adversarial loss: 0.790546, acc: 0.578125] 27522: [discriminator loss: 0.492388, acc: 0.742188] [adversarial loss: 1.078958, acc: 0.281250] 27523: [discriminator loss: 0.503177, acc: 0.742188] [adversarial loss: 1.187452, acc: 0.343750] 27524: [discriminator loss: 0.546001, acc: 0.718750] [adversarial loss: 0.993037, acc: 0.375000] 27525: [discriminator loss: 0.498364, acc: 0.742188] [adversarial loss: 1.694240, acc: 0.093750] 27526: [discriminator loss: 0.563684, acc: 0.687500] [adversarial loss: 0.965058, acc: 0.375000] 27527: [discriminator loss: 0.497673, acc: 0.734375] [adversarial loss: 1.457016, acc: 0.203125] 27528: [discriminator loss: 0.578120, acc: 0.687500] [adversarial loss: 1.184797, acc: 0.265625] 27529: [discriminator loss: 0.485715, acc: 0.750000] [adversarial loss: 1.096107, acc: 0.328125] 27530: [discriminator loss: 0.549564, acc: 0.742188] [adversarial loss: 1.367049, acc: 0.203125] 27531: [discriminator loss: 0.526082, acc: 0.765625] [adversarial loss: 1.015880, acc: 0.359375] 27532: [discriminator loss: 0.491340, acc: 0.781250] [adversarial loss: 1.277258, acc: 0.203125] 27533: [discriminator loss: 0.531187, acc: 0.695312] [adversarial loss: 1.001683, acc: 0.390625] 27534: [discriminator loss: 0.563765, acc: 0.671875] [adversarial loss: 1.404885, acc: 0.250000] 27535: [discriminator loss: 0.535067, acc: 0.679688] [adversarial loss: 0.946675, acc: 0.406250] 27536: [discriminator loss: 0.527166, acc: 0.695312] [adversarial loss: 1.709558, acc: 0.046875] 27537: [discriminator loss: 0.623477, acc: 0.664062] [adversarial loss: 0.893463, acc: 0.421875] 27538: [discriminator loss: 0.553273, acc: 0.703125] [adversarial loss: 1.623463, acc: 0.093750] 27539: [discriminator loss: 0.568668, acc: 0.687500] [adversarial loss: 0.841968, acc: 0.546875] 27540: [discriminator loss: 0.593337, acc: 0.734375] [adversarial loss: 1.349330, acc: 0.203125] 27541: [discriminator loss: 0.621211, acc: 0.617188] [adversarial loss: 1.082639, acc: 0.343750] 27542: [discriminator loss: 0.543442, acc: 0.703125] [adversarial loss: 1.383485, acc: 0.265625] 27543: [discriminator loss: 0.480854, acc: 0.757812] [adversarial loss: 1.145639, acc: 0.406250] 27544: [discriminator loss: 0.530180, acc: 0.734375] [adversarial loss: 1.374968, acc: 0.234375] 27545: [discriminator loss: 0.710075, acc: 0.601562] [adversarial loss: 1.112279, acc: 0.296875] 27546: [discriminator loss: 0.458959, acc: 0.765625] [adversarial loss: 1.188039, acc: 0.265625] 27547: [discriminator loss: 0.561116, acc: 0.695312] [adversarial loss: 1.240736, acc: 0.187500] 27548: [discriminator loss: 0.561684, acc: 0.695312] [adversarial loss: 1.198001, acc: 0.187500] 27549: [discriminator loss: 0.547973, acc: 0.750000] [adversarial loss: 1.004228, acc: 0.406250] 27550: [discriminator loss: 0.525963, acc: 0.789062] [adversarial loss: 1.521724, acc: 0.125000] 27551: [discriminator loss: 0.573585, acc: 0.703125] [adversarial loss: 0.768219, acc: 0.515625] 27552: [discriminator loss: 0.626439, acc: 0.687500] [adversarial loss: 1.620897, acc: 0.093750] 27553: [discriminator loss: 0.605706, acc: 0.656250] [adversarial loss: 0.779407, acc: 0.484375] 27554: [discriminator loss: 0.525998, acc: 0.742188] [adversarial loss: 1.419854, acc: 0.125000] 27555: [discriminator loss: 0.526593, acc: 0.703125] [adversarial loss: 1.147061, acc: 0.281250] 27556: [discriminator loss: 0.476601, acc: 0.750000] [adversarial loss: 1.019709, acc: 0.343750] 27557: [discriminator loss: 0.587078, acc: 0.710938] [adversarial loss: 1.460370, acc: 0.062500] 27558: [discriminator loss: 0.475128, acc: 0.765625] [adversarial loss: 1.002399, acc: 0.312500] 27559: [discriminator loss: 0.554910, acc: 0.703125] [adversarial loss: 1.516992, acc: 0.156250] 27560: [discriminator loss: 0.525067, acc: 0.710938] [adversarial loss: 1.039858, acc: 0.328125] 27561: [discriminator loss: 0.542084, acc: 0.750000] [adversarial loss: 1.524132, acc: 0.140625] 27562: [discriminator loss: 0.501026, acc: 0.765625] [adversarial loss: 0.971391, acc: 0.390625] 27563: [discriminator loss: 0.510286, acc: 0.726562] [adversarial loss: 1.618168, acc: 0.156250] 27564: [discriminator loss: 0.530656, acc: 0.679688] [adversarial loss: 1.055233, acc: 0.390625] 27565: [discriminator loss: 0.576231, acc: 0.687500] [adversarial loss: 1.584411, acc: 0.078125] 27566: [discriminator loss: 0.530444, acc: 0.742188] [adversarial loss: 0.919519, acc: 0.453125] 27567: [discriminator loss: 0.528023, acc: 0.726562] [adversarial loss: 1.356672, acc: 0.203125] 27568: [discriminator loss: 0.502342, acc: 0.750000] [adversarial loss: 1.043470, acc: 0.375000] 27569: [discriminator loss: 0.509186, acc: 0.742188] [adversarial loss: 1.692735, acc: 0.093750] 27570: [discriminator loss: 0.522187, acc: 0.703125] [adversarial loss: 0.704717, acc: 0.578125] 27571: [discriminator loss: 0.499304, acc: 0.757812] [adversarial loss: 1.314287, acc: 0.187500] 27572: [discriminator loss: 0.550811, acc: 0.695312] [adversarial loss: 1.014899, acc: 0.375000] 27573: [discriminator loss: 0.525214, acc: 0.734375] [adversarial loss: 1.590215, acc: 0.156250] 27574: [discriminator loss: 0.497892, acc: 0.765625] [adversarial loss: 0.887994, acc: 0.359375] 27575: [discriminator loss: 0.522300, acc: 0.718750] [adversarial loss: 1.804694, acc: 0.062500] 27576: [discriminator loss: 0.575495, acc: 0.664062] [adversarial loss: 0.882456, acc: 0.468750] 27577: [discriminator loss: 0.565837, acc: 0.687500] [adversarial loss: 1.416129, acc: 0.203125] 27578: [discriminator loss: 0.540640, acc: 0.750000] [adversarial loss: 1.158283, acc: 0.296875] 27579: [discriminator loss: 0.555811, acc: 0.734375] [adversarial loss: 1.324244, acc: 0.203125] 27580: [discriminator loss: 0.518869, acc: 0.742188] [adversarial loss: 1.194654, acc: 0.203125] 27581: [discriminator loss: 0.544219, acc: 0.726562] [adversarial loss: 1.249486, acc: 0.203125] 27582: [discriminator loss: 0.592292, acc: 0.664062] [adversarial loss: 1.165361, acc: 0.234375] 27583: [discriminator loss: 0.562861, acc: 0.710938] [adversarial loss: 1.236765, acc: 0.296875] 27584: [discriminator loss: 0.512067, acc: 0.773438] [adversarial loss: 1.298039, acc: 0.218750] 27585: [discriminator loss: 0.540276, acc: 0.679688] [adversarial loss: 0.745616, acc: 0.593750] 27586: [discriminator loss: 0.482599, acc: 0.742188] [adversarial loss: 1.501075, acc: 0.156250] 27587: [discriminator loss: 0.514511, acc: 0.773438] [adversarial loss: 0.815375, acc: 0.546875] 27588: [discriminator loss: 0.606330, acc: 0.679688] [adversarial loss: 1.848927, acc: 0.015625] 27589: [discriminator loss: 0.597132, acc: 0.664062] [adversarial loss: 0.814508, acc: 0.562500] 27590: [discriminator loss: 0.522944, acc: 0.695312] [adversarial loss: 1.447225, acc: 0.125000] 27591: [discriminator loss: 0.512006, acc: 0.742188] [adversarial loss: 0.933439, acc: 0.421875] 27592: [discriminator loss: 0.607188, acc: 0.664062] [adversarial loss: 1.778452, acc: 0.109375] 27593: [discriminator loss: 0.538006, acc: 0.695312] [adversarial loss: 1.025464, acc: 0.406250] 27594: [discriminator loss: 0.531287, acc: 0.726562] [adversarial loss: 1.092215, acc: 0.296875] 27595: [discriminator loss: 0.474405, acc: 0.742188] [adversarial loss: 1.101491, acc: 0.265625] 27596: [discriminator loss: 0.581675, acc: 0.695312] [adversarial loss: 1.268082, acc: 0.187500] 27597: [discriminator loss: 0.492113, acc: 0.765625] [adversarial loss: 1.183011, acc: 0.328125] 27598: [discriminator loss: 0.455431, acc: 0.757812] [adversarial loss: 1.276269, acc: 0.218750] 27599: [discriminator loss: 0.493283, acc: 0.773438] [adversarial loss: 1.198670, acc: 0.312500] 27600: [discriminator loss: 0.482437, acc: 0.796875] [adversarial loss: 1.136743, acc: 0.296875] 27601: [discriminator loss: 0.551875, acc: 0.703125] [adversarial loss: 1.608047, acc: 0.171875] 27602: [discriminator loss: 0.536518, acc: 0.757812] [adversarial loss: 0.900589, acc: 0.390625] 27603: [discriminator loss: 0.466675, acc: 0.781250] [adversarial loss: 1.667270, acc: 0.140625] 27604: [discriminator loss: 0.514158, acc: 0.726562] [adversarial loss: 1.160295, acc: 0.234375] 27605: [discriminator loss: 0.474597, acc: 0.781250] [adversarial loss: 1.308085, acc: 0.296875] 27606: [discriminator loss: 0.504162, acc: 0.726562] [adversarial loss: 0.893986, acc: 0.406250] 27607: [discriminator loss: 0.586093, acc: 0.687500] [adversarial loss: 1.711217, acc: 0.125000] 27608: [discriminator loss: 0.629923, acc: 0.632812] [adversarial loss: 0.834262, acc: 0.468750] 27609: [discriminator loss: 0.526867, acc: 0.757812] [adversarial loss: 1.255920, acc: 0.203125] 27610: [discriminator loss: 0.466502, acc: 0.796875] [adversarial loss: 1.129986, acc: 0.296875] 27611: [discriminator loss: 0.566045, acc: 0.703125] [adversarial loss: 1.336479, acc: 0.171875] 27612: [discriminator loss: 0.457250, acc: 0.781250] [adversarial loss: 1.135182, acc: 0.296875] 27613: [discriminator loss: 0.479811, acc: 0.765625] [adversarial loss: 1.183355, acc: 0.343750] 27614: [discriminator loss: 0.513236, acc: 0.757812] [adversarial loss: 1.070893, acc: 0.265625] 27615: [discriminator loss: 0.549953, acc: 0.726562] [adversarial loss: 1.358816, acc: 0.218750] 27616: [discriminator loss: 0.530127, acc: 0.726562] [adversarial loss: 1.252755, acc: 0.203125] 27617: [discriminator loss: 0.521844, acc: 0.718750] [adversarial loss: 0.912174, acc: 0.453125] 27618: [discriminator loss: 0.470019, acc: 0.726562] [adversarial loss: 1.758542, acc: 0.093750] 27619: [discriminator loss: 0.612898, acc: 0.625000] [adversarial loss: 0.718341, acc: 0.609375] 27620: [discriminator loss: 0.620755, acc: 0.718750] [adversarial loss: 1.526348, acc: 0.187500] 27621: [discriminator loss: 0.621839, acc: 0.679688] [adversarial loss: 1.048417, acc: 0.421875] 27622: [discriminator loss: 0.547923, acc: 0.757812] [adversarial loss: 1.527527, acc: 0.156250] 27623: [discriminator loss: 0.532089, acc: 0.695312] [adversarial loss: 1.177344, acc: 0.343750] 27624: [discriminator loss: 0.472789, acc: 0.812500] [adversarial loss: 1.264760, acc: 0.234375] 27625: [discriminator loss: 0.441520, acc: 0.765625] [adversarial loss: 1.299718, acc: 0.203125] 27626: [discriminator loss: 0.582471, acc: 0.687500] [adversarial loss: 1.300883, acc: 0.296875] 27627: [discriminator loss: 0.514986, acc: 0.734375] [adversarial loss: 1.264772, acc: 0.234375] 27628: [discriminator loss: 0.507761, acc: 0.703125] [adversarial loss: 1.255819, acc: 0.281250] 27629: [discriminator loss: 0.501729, acc: 0.765625] [adversarial loss: 1.332086, acc: 0.156250] 27630: [discriminator loss: 0.486147, acc: 0.734375] [adversarial loss: 0.962716, acc: 0.359375] 27631: [discriminator loss: 0.535301, acc: 0.703125] [adversarial loss: 1.598630, acc: 0.125000] 27632: [discriminator loss: 0.557385, acc: 0.687500] [adversarial loss: 1.004671, acc: 0.375000] 27633: [discriminator loss: 0.490397, acc: 0.773438] [adversarial loss: 1.467808, acc: 0.140625] 27634: [discriminator loss: 0.570306, acc: 0.640625] [adversarial loss: 1.098875, acc: 0.375000] 27635: [discriminator loss: 0.496663, acc: 0.789062] [adversarial loss: 1.435903, acc: 0.171875] 27636: [discriminator loss: 0.489846, acc: 0.781250] [adversarial loss: 1.053339, acc: 0.328125] 27637: [discriminator loss: 0.539714, acc: 0.679688] [adversarial loss: 1.352678, acc: 0.203125] 27638: [discriminator loss: 0.618720, acc: 0.656250] [adversarial loss: 0.743247, acc: 0.593750] 27639: [discriminator loss: 0.594218, acc: 0.695312] [adversarial loss: 1.547274, acc: 0.062500] 27640: [discriminator loss: 0.560842, acc: 0.710938] [adversarial loss: 0.804716, acc: 0.531250] 27641: [discriminator loss: 0.588412, acc: 0.648438] [adversarial loss: 1.622197, acc: 0.078125] 27642: [discriminator loss: 0.564095, acc: 0.703125] [adversarial loss: 0.937688, acc: 0.343750] 27643: [discriminator loss: 0.519277, acc: 0.773438] [adversarial loss: 1.410367, acc: 0.171875] 27644: [discriminator loss: 0.546270, acc: 0.710938] [adversarial loss: 1.354349, acc: 0.171875] 27645: [discriminator loss: 0.554507, acc: 0.710938] [adversarial loss: 1.128920, acc: 0.265625] 27646: [discriminator loss: 0.531600, acc: 0.750000] [adversarial loss: 1.312602, acc: 0.140625] 27647: [discriminator loss: 0.521926, acc: 0.734375] [adversarial loss: 1.280827, acc: 0.187500] 27648: [discriminator loss: 0.522678, acc: 0.765625] [adversarial loss: 1.184959, acc: 0.296875] 27649: [discriminator loss: 0.559730, acc: 0.695312] [adversarial loss: 1.222798, acc: 0.203125] 27650: [discriminator loss: 0.551105, acc: 0.726562] [adversarial loss: 1.280901, acc: 0.187500] 27651: [discriminator loss: 0.528453, acc: 0.742188] [adversarial loss: 1.404049, acc: 0.203125] 27652: [discriminator loss: 0.528732, acc: 0.726562] [adversarial loss: 1.286534, acc: 0.171875] 27653: [discriminator loss: 0.542046, acc: 0.710938] [adversarial loss: 1.135009, acc: 0.265625] 27654: [discriminator loss: 0.564023, acc: 0.679688] [adversarial loss: 1.178088, acc: 0.265625] 27655: [discriminator loss: 0.534902, acc: 0.710938] [adversarial loss: 1.368778, acc: 0.218750] 27656: [discriminator loss: 0.611433, acc: 0.695312] [adversarial loss: 1.117017, acc: 0.312500] 27657: [discriminator loss: 0.468393, acc: 0.773438] [adversarial loss: 1.587619, acc: 0.062500] 27658: [discriminator loss: 0.487350, acc: 0.750000] [adversarial loss: 0.924940, acc: 0.390625] 27659: [discriminator loss: 0.526760, acc: 0.750000] [adversarial loss: 1.930044, acc: 0.031250] 27660: [discriminator loss: 0.566030, acc: 0.710938] [adversarial loss: 0.600177, acc: 0.687500] 27661: [discriminator loss: 0.561915, acc: 0.679688] [adversarial loss: 1.848389, acc: 0.125000] 27662: [discriminator loss: 0.543091, acc: 0.734375] [adversarial loss: 1.193736, acc: 0.390625] 27663: [discriminator loss: 0.456987, acc: 0.804688] [adversarial loss: 1.293593, acc: 0.218750] 27664: [discriminator loss: 0.568575, acc: 0.695312] [adversarial loss: 1.355293, acc: 0.171875] 27665: [discriminator loss: 0.501203, acc: 0.750000] [adversarial loss: 1.302127, acc: 0.265625] 27666: [discriminator loss: 0.504600, acc: 0.726562] [adversarial loss: 1.119693, acc: 0.312500] 27667: [discriminator loss: 0.488558, acc: 0.750000] [adversarial loss: 1.074899, acc: 0.359375] 27668: [discriminator loss: 0.477574, acc: 0.781250] [adversarial loss: 1.322489, acc: 0.171875] 27669: [discriminator loss: 0.477365, acc: 0.765625] [adversarial loss: 1.172646, acc: 0.296875] 27670: [discriminator loss: 0.510777, acc: 0.773438] [adversarial loss: 1.425714, acc: 0.187500] 27671: [discriminator loss: 0.536147, acc: 0.718750] [adversarial loss: 1.287475, acc: 0.218750] 27672: [discriminator loss: 0.521235, acc: 0.734375] [adversarial loss: 1.186704, acc: 0.203125] 27673: [discriminator loss: 0.492713, acc: 0.750000] [adversarial loss: 1.172038, acc: 0.250000] 27674: [discriminator loss: 0.580157, acc: 0.656250] [adversarial loss: 1.214926, acc: 0.218750] 27675: [discriminator loss: 0.541763, acc: 0.734375] [adversarial loss: 0.964138, acc: 0.421875] 27676: [discriminator loss: 0.533027, acc: 0.734375] [adversarial loss: 1.682118, acc: 0.140625] 27677: [discriminator loss: 0.573642, acc: 0.710938] [adversarial loss: 0.871171, acc: 0.484375] 27678: [discriminator loss: 0.505287, acc: 0.757812] [adversarial loss: 2.068512, acc: 0.046875] 27679: [discriminator loss: 0.644260, acc: 0.671875] [adversarial loss: 0.805518, acc: 0.484375] 27680: [discriminator loss: 0.548936, acc: 0.734375] [adversarial loss: 1.630352, acc: 0.109375] 27681: [discriminator loss: 0.531010, acc: 0.734375] [adversarial loss: 1.160428, acc: 0.265625] 27682: [discriminator loss: 0.585625, acc: 0.695312] [adversarial loss: 1.364242, acc: 0.281250] 27683: [discriminator loss: 0.542888, acc: 0.695312] [adversarial loss: 1.206506, acc: 0.328125] 27684: [discriminator loss: 0.610069, acc: 0.710938] [adversarial loss: 1.082665, acc: 0.406250] 27685: [discriminator loss: 0.520820, acc: 0.757812] [adversarial loss: 1.373394, acc: 0.187500] 27686: [discriminator loss: 0.520368, acc: 0.703125] [adversarial loss: 1.397781, acc: 0.156250] 27687: [discriminator loss: 0.591074, acc: 0.664062] [adversarial loss: 1.176891, acc: 0.234375] 27688: [discriminator loss: 0.561698, acc: 0.687500] [adversarial loss: 1.532479, acc: 0.140625] 27689: [discriminator loss: 0.556027, acc: 0.648438] [adversarial loss: 0.983545, acc: 0.437500] 27690: [discriminator loss: 0.536993, acc: 0.726562] [adversarial loss: 1.643316, acc: 0.156250] 27691: [discriminator loss: 0.535281, acc: 0.742188] [adversarial loss: 1.151295, acc: 0.296875] 27692: [discriminator loss: 0.595453, acc: 0.632812] [adversarial loss: 1.337996, acc: 0.281250] 27693: [discriminator loss: 0.487676, acc: 0.718750] [adversarial loss: 1.081110, acc: 0.328125] 27694: [discriminator loss: 0.508242, acc: 0.687500] [adversarial loss: 1.629149, acc: 0.078125] 27695: [discriminator loss: 0.542453, acc: 0.718750] [adversarial loss: 0.814482, acc: 0.531250] 27696: [discriminator loss: 0.545585, acc: 0.750000] [adversarial loss: 1.518032, acc: 0.156250] 27697: [discriminator loss: 0.503053, acc: 0.765625] [adversarial loss: 1.246992, acc: 0.171875] 27698: [discriminator loss: 0.553307, acc: 0.718750] [adversarial loss: 1.585294, acc: 0.187500] 27699: [discriminator loss: 0.520423, acc: 0.718750] [adversarial loss: 0.731619, acc: 0.578125] 27700: [discriminator loss: 0.554826, acc: 0.687500] [adversarial loss: 1.321982, acc: 0.234375] 27701: [discriminator loss: 0.567435, acc: 0.679688] [adversarial loss: 1.245085, acc: 0.234375] 27702: [discriminator loss: 0.514437, acc: 0.757812] [adversarial loss: 1.444682, acc: 0.234375] 27703: [discriminator loss: 0.515472, acc: 0.718750] [adversarial loss: 1.171355, acc: 0.281250] 27704: [discriminator loss: 0.521828, acc: 0.742188] [adversarial loss: 1.316731, acc: 0.234375] 27705: [discriminator loss: 0.508435, acc: 0.781250] [adversarial loss: 1.070772, acc: 0.265625] 27706: [discriminator loss: 0.519687, acc: 0.718750] [adversarial loss: 1.556023, acc: 0.093750] 27707: [discriminator loss: 0.456410, acc: 0.812500] [adversarial loss: 0.979207, acc: 0.375000] 27708: [discriminator loss: 0.540616, acc: 0.718750] [adversarial loss: 1.297002, acc: 0.296875] 27709: [discriminator loss: 0.559139, acc: 0.679688] [adversarial loss: 1.134469, acc: 0.328125] 27710: [discriminator loss: 0.499202, acc: 0.718750] [adversarial loss: 1.550184, acc: 0.093750] 27711: [discriminator loss: 0.562401, acc: 0.718750] [adversarial loss: 1.002163, acc: 0.406250] 27712: [discriminator loss: 0.574576, acc: 0.679688] [adversarial loss: 1.270764, acc: 0.218750] 27713: [discriminator loss: 0.615354, acc: 0.664062] [adversarial loss: 0.988341, acc: 0.343750] 27714: [discriminator loss: 0.617658, acc: 0.632812] [adversarial loss: 1.163343, acc: 0.156250] 27715: [discriminator loss: 0.576137, acc: 0.703125] [adversarial loss: 1.096293, acc: 0.234375] 27716: [discriminator loss: 0.524435, acc: 0.757812] [adversarial loss: 1.406760, acc: 0.125000] 27717: [discriminator loss: 0.488961, acc: 0.773438] [adversarial loss: 0.782152, acc: 0.515625] 27718: [discriminator loss: 0.539920, acc: 0.695312] [adversarial loss: 1.771133, acc: 0.093750] 27719: [discriminator loss: 0.614216, acc: 0.718750] [adversarial loss: 0.778337, acc: 0.546875] 27720: [discriminator loss: 0.599086, acc: 0.687500] [adversarial loss: 1.641063, acc: 0.062500] 27721: [discriminator loss: 0.609161, acc: 0.664062] [adversarial loss: 0.704992, acc: 0.562500] 27722: [discriminator loss: 0.623502, acc: 0.679688] [adversarial loss: 1.460631, acc: 0.140625] 27723: [discriminator loss: 0.568074, acc: 0.718750] [adversarial loss: 1.030977, acc: 0.390625] 27724: [discriminator loss: 0.486947, acc: 0.796875] [adversarial loss: 1.378373, acc: 0.171875] 27725: [discriminator loss: 0.529535, acc: 0.726562] [adversarial loss: 0.951722, acc: 0.406250] 27726: [discriminator loss: 0.630677, acc: 0.648438] [adversarial loss: 1.229349, acc: 0.187500] 27727: [discriminator loss: 0.513677, acc: 0.765625] [adversarial loss: 1.364498, acc: 0.234375] 27728: [discriminator loss: 0.487529, acc: 0.781250] [adversarial loss: 1.158444, acc: 0.234375] 27729: [discriminator loss: 0.517576, acc: 0.742188] [adversarial loss: 1.247968, acc: 0.203125] 27730: [discriminator loss: 0.449115, acc: 0.851562] [adversarial loss: 1.252172, acc: 0.187500] 27731: [discriminator loss: 0.503544, acc: 0.773438] [adversarial loss: 1.236482, acc: 0.234375] 27732: [discriminator loss: 0.500286, acc: 0.757812] [adversarial loss: 1.281137, acc: 0.328125] 27733: [discriminator loss: 0.489452, acc: 0.773438] [adversarial loss: 0.952501, acc: 0.375000] 27734: [discriminator loss: 0.643448, acc: 0.640625] [adversarial loss: 1.104577, acc: 0.250000] 27735: [discriminator loss: 0.550945, acc: 0.734375] [adversarial loss: 1.437433, acc: 0.187500] 27736: [discriminator loss: 0.502431, acc: 0.765625] [adversarial loss: 1.005420, acc: 0.421875] 27737: [discriminator loss: 0.610918, acc: 0.664062] [adversarial loss: 1.687988, acc: 0.046875] 27738: [discriminator loss: 0.538477, acc: 0.687500] [adversarial loss: 0.884998, acc: 0.484375] 27739: [discriminator loss: 0.569973, acc: 0.710938] [adversarial loss: 1.835009, acc: 0.062500] 27740: [discriminator loss: 0.539966, acc: 0.734375] [adversarial loss: 1.238033, acc: 0.234375] 27741: [discriminator loss: 0.523779, acc: 0.718750] [adversarial loss: 1.219257, acc: 0.312500] 27742: [discriminator loss: 0.566784, acc: 0.671875] [adversarial loss: 1.530866, acc: 0.171875] 27743: [discriminator loss: 0.514554, acc: 0.757812] [adversarial loss: 0.988693, acc: 0.296875] 27744: [discriminator loss: 0.484279, acc: 0.796875] [adversarial loss: 1.060236, acc: 0.390625] 27745: [discriminator loss: 0.521067, acc: 0.710938] [adversarial loss: 1.161286, acc: 0.234375] 27746: [discriminator loss: 0.501644, acc: 0.718750] [adversarial loss: 1.477392, acc: 0.171875] 27747: [discriminator loss: 0.579141, acc: 0.703125] [adversarial loss: 1.173889, acc: 0.281250] 27748: [discriminator loss: 0.535985, acc: 0.687500] [adversarial loss: 1.164707, acc: 0.265625] 27749: [discriminator loss: 0.511884, acc: 0.742188] [adversarial loss: 1.518680, acc: 0.125000] 27750: [discriminator loss: 0.535072, acc: 0.726562] [adversarial loss: 0.828084, acc: 0.421875] 27751: [discriminator loss: 0.521636, acc: 0.734375] [adversarial loss: 1.446930, acc: 0.156250] 27752: [discriminator loss: 0.491989, acc: 0.726562] [adversarial loss: 0.789500, acc: 0.531250] 27753: [discriminator loss: 0.462808, acc: 0.781250] [adversarial loss: 1.426988, acc: 0.218750] 27754: [discriminator loss: 0.522019, acc: 0.734375] [adversarial loss: 0.976432, acc: 0.343750] 27755: [discriminator loss: 0.513590, acc: 0.773438] [adversarial loss: 1.416126, acc: 0.203125] 27756: [discriminator loss: 0.566233, acc: 0.750000] [adversarial loss: 1.153255, acc: 0.343750] 27757: [discriminator loss: 0.454140, acc: 0.781250] [adversarial loss: 1.672981, acc: 0.093750] 27758: [discriminator loss: 0.545452, acc: 0.750000] [adversarial loss: 0.886338, acc: 0.390625] 27759: [discriminator loss: 0.496147, acc: 0.742188] [adversarial loss: 1.786319, acc: 0.093750] 27760: [discriminator loss: 0.548392, acc: 0.750000] [adversarial loss: 0.816368, acc: 0.546875] 27761: [discriminator loss: 0.543563, acc: 0.695312] [adversarial loss: 1.647445, acc: 0.125000] 27762: [discriminator loss: 0.508943, acc: 0.742188] [adversarial loss: 1.092952, acc: 0.343750] 27763: [discriminator loss: 0.495736, acc: 0.765625] [adversarial loss: 1.348024, acc: 0.250000] 27764: [discriminator loss: 0.523394, acc: 0.765625] [adversarial loss: 1.181898, acc: 0.328125] 27765: [discriminator loss: 0.477962, acc: 0.765625] [adversarial loss: 1.160556, acc: 0.265625] 27766: [discriminator loss: 0.533194, acc: 0.726562] [adversarial loss: 1.335458, acc: 0.187500] 27767: [discriminator loss: 0.517493, acc: 0.796875] [adversarial loss: 1.118737, acc: 0.343750] 27768: [discriminator loss: 0.547170, acc: 0.718750] [adversarial loss: 1.559969, acc: 0.156250] 27769: [discriminator loss: 0.501420, acc: 0.734375] [adversarial loss: 0.672012, acc: 0.578125] 27770: [discriminator loss: 0.618490, acc: 0.656250] [adversarial loss: 1.718119, acc: 0.109375] 27771: [discriminator loss: 0.640423, acc: 0.609375] [adversarial loss: 0.879724, acc: 0.453125] 27772: [discriminator loss: 0.542624, acc: 0.695312] [adversarial loss: 1.180259, acc: 0.218750] 27773: [discriminator loss: 0.608954, acc: 0.640625] [adversarial loss: 1.715192, acc: 0.078125] 27774: [discriminator loss: 0.574855, acc: 0.671875] [adversarial loss: 0.992054, acc: 0.312500] 27775: [discriminator loss: 0.532692, acc: 0.757812] [adversarial loss: 1.461457, acc: 0.062500] 27776: [discriminator loss: 0.467680, acc: 0.757812] [adversarial loss: 1.050847, acc: 0.359375] 27777: [discriminator loss: 0.522611, acc: 0.703125] [adversarial loss: 1.346240, acc: 0.156250] 27778: [discriminator loss: 0.493506, acc: 0.789062] [adversarial loss: 1.265517, acc: 0.265625] 27779: [discriminator loss: 0.527811, acc: 0.726562] [adversarial loss: 1.539863, acc: 0.218750] 27780: [discriminator loss: 0.514115, acc: 0.718750] [adversarial loss: 0.953374, acc: 0.390625] 27781: [discriminator loss: 0.572746, acc: 0.703125] [adversarial loss: 1.766816, acc: 0.062500] 27782: [discriminator loss: 0.522259, acc: 0.687500] [adversarial loss: 1.041124, acc: 0.328125] 27783: [discriminator loss: 0.519295, acc: 0.734375] [adversarial loss: 1.253945, acc: 0.171875] 27784: [discriminator loss: 0.541416, acc: 0.734375] [adversarial loss: 1.202624, acc: 0.218750] 27785: [discriminator loss: 0.537896, acc: 0.734375] [adversarial loss: 1.075333, acc: 0.328125] 27786: [discriminator loss: 0.528528, acc: 0.703125] [adversarial loss: 1.224885, acc: 0.234375] 27787: [discriminator loss: 0.490893, acc: 0.726562] [adversarial loss: 1.115385, acc: 0.343750] 27788: [discriminator loss: 0.590420, acc: 0.671875] [adversarial loss: 1.264357, acc: 0.218750] 27789: [discriminator loss: 0.657607, acc: 0.679688] [adversarial loss: 0.981223, acc: 0.453125] 27790: [discriminator loss: 0.499015, acc: 0.765625] [adversarial loss: 1.239881, acc: 0.218750] 27791: [discriminator loss: 0.561508, acc: 0.726562] [adversarial loss: 1.165460, acc: 0.250000] 27792: [discriminator loss: 0.531176, acc: 0.734375] [adversarial loss: 1.549694, acc: 0.062500] 27793: [discriminator loss: 0.560854, acc: 0.664062] [adversarial loss: 0.926700, acc: 0.437500] 27794: [discriminator loss: 0.577018, acc: 0.687500] [adversarial loss: 1.754571, acc: 0.093750] 27795: [discriminator loss: 0.565310, acc: 0.710938] [adversarial loss: 1.075369, acc: 0.343750] 27796: [discriminator loss: 0.588527, acc: 0.664062] [adversarial loss: 1.754198, acc: 0.109375] 27797: [discriminator loss: 0.639546, acc: 0.640625] [adversarial loss: 0.815498, acc: 0.546875] 27798: [discriminator loss: 0.557068, acc: 0.703125] [adversarial loss: 1.515800, acc: 0.109375] 27799: [discriminator loss: 0.515036, acc: 0.726562] [adversarial loss: 0.924577, acc: 0.468750] 27800: [discriminator loss: 0.544041, acc: 0.742188] [adversarial loss: 1.308320, acc: 0.218750] 27801: [discriminator loss: 0.577664, acc: 0.718750] [adversarial loss: 1.085282, acc: 0.296875] 27802: [discriminator loss: 0.523686, acc: 0.757812] [adversarial loss: 1.566323, acc: 0.218750] 27803: [discriminator loss: 0.511464, acc: 0.781250] [adversarial loss: 1.001684, acc: 0.359375] 27804: [discriminator loss: 0.519689, acc: 0.742188] [adversarial loss: 1.499055, acc: 0.203125] 27805: [discriminator loss: 0.602783, acc: 0.656250] [adversarial loss: 0.748624, acc: 0.531250] 27806: [discriminator loss: 0.658223, acc: 0.656250] [adversarial loss: 1.520977, acc: 0.125000] 27807: [discriminator loss: 0.570272, acc: 0.703125] [adversarial loss: 0.863555, acc: 0.484375] 27808: [discriminator loss: 0.514906, acc: 0.710938] [adversarial loss: 1.283393, acc: 0.265625] 27809: [discriminator loss: 0.501248, acc: 0.734375] [adversarial loss: 0.919383, acc: 0.437500] 27810: [discriminator loss: 0.504119, acc: 0.734375] [adversarial loss: 1.260992, acc: 0.218750] 27811: [discriminator loss: 0.494918, acc: 0.734375] [adversarial loss: 1.007569, acc: 0.421875] 27812: [discriminator loss: 0.499723, acc: 0.742188] [adversarial loss: 1.340510, acc: 0.234375] 27813: [discriminator loss: 0.501693, acc: 0.750000] [adversarial loss: 1.002494, acc: 0.406250] 27814: [discriminator loss: 0.504397, acc: 0.742188] [adversarial loss: 0.925055, acc: 0.453125] 27815: [discriminator loss: 0.481905, acc: 0.757812] [adversarial loss: 1.262901, acc: 0.250000] 27816: [discriminator loss: 0.469978, acc: 0.750000] [adversarial loss: 1.081172, acc: 0.343750] 27817: [discriminator loss: 0.603972, acc: 0.671875] [adversarial loss: 1.513608, acc: 0.125000] 27818: [discriminator loss: 0.506820, acc: 0.710938] [adversarial loss: 0.990472, acc: 0.437500] 27819: [discriminator loss: 0.495082, acc: 0.734375] [adversarial loss: 1.556513, acc: 0.125000] 27820: [discriminator loss: 0.518973, acc: 0.726562] [adversarial loss: 1.056037, acc: 0.281250] 27821: [discriminator loss: 0.546588, acc: 0.695312] [adversarial loss: 1.407762, acc: 0.187500] 27822: [discriminator loss: 0.555177, acc: 0.703125] [adversarial loss: 1.298681, acc: 0.218750] 27823: [discriminator loss: 0.596983, acc: 0.703125] [adversarial loss: 1.196307, acc: 0.265625] 27824: [discriminator loss: 0.475155, acc: 0.804688] [adversarial loss: 1.100271, acc: 0.437500] 27825: [discriminator loss: 0.540280, acc: 0.726562] [adversarial loss: 1.334337, acc: 0.250000] 27826: [discriminator loss: 0.513351, acc: 0.734375] [adversarial loss: 1.264773, acc: 0.250000] 27827: [discriminator loss: 0.510701, acc: 0.750000] [adversarial loss: 1.768998, acc: 0.078125] 27828: [discriminator loss: 0.534590, acc: 0.710938] [adversarial loss: 0.735036, acc: 0.546875] 27829: [discriminator loss: 0.593310, acc: 0.726562] [adversarial loss: 1.763090, acc: 0.109375] 27830: [discriminator loss: 0.572457, acc: 0.679688] [adversarial loss: 0.851573, acc: 0.375000] 27831: [discriminator loss: 0.594525, acc: 0.703125] [adversarial loss: 1.384413, acc: 0.203125] 27832: [discriminator loss: 0.523557, acc: 0.687500] [adversarial loss: 0.897957, acc: 0.437500] 27833: [discriminator loss: 0.528993, acc: 0.671875] [adversarial loss: 1.303177, acc: 0.187500] 27834: [discriminator loss: 0.527911, acc: 0.734375] [adversarial loss: 1.118041, acc: 0.234375] 27835: [discriminator loss: 0.555239, acc: 0.718750] [adversarial loss: 1.343712, acc: 0.171875] 27836: [discriminator loss: 0.550673, acc: 0.726562] [adversarial loss: 1.145788, acc: 0.250000] 27837: [discriminator loss: 0.489130, acc: 0.789062] [adversarial loss: 1.226713, acc: 0.203125] 27838: [discriminator loss: 0.533742, acc: 0.703125] [adversarial loss: 1.814900, acc: 0.109375] 27839: [discriminator loss: 0.531345, acc: 0.789062] [adversarial loss: 1.145905, acc: 0.296875] 27840: [discriminator loss: 0.573925, acc: 0.656250] [adversarial loss: 1.773889, acc: 0.078125] 27841: [discriminator loss: 0.552168, acc: 0.695312] [adversarial loss: 0.782705, acc: 0.500000] 27842: [discriminator loss: 0.624895, acc: 0.703125] [adversarial loss: 1.535030, acc: 0.156250] 27843: [discriminator loss: 0.538936, acc: 0.703125] [adversarial loss: 1.121397, acc: 0.343750] 27844: [discriminator loss: 0.503609, acc: 0.750000] [adversarial loss: 1.234420, acc: 0.234375] 27845: [discriminator loss: 0.593471, acc: 0.703125] [adversarial loss: 1.152544, acc: 0.281250] 27846: [discriminator loss: 0.546664, acc: 0.734375] [adversarial loss: 1.492077, acc: 0.109375] 27847: [discriminator loss: 0.427399, acc: 0.828125] [adversarial loss: 1.215900, acc: 0.312500] 27848: [discriminator loss: 0.482932, acc: 0.757812] [adversarial loss: 1.368154, acc: 0.281250] 27849: [discriminator loss: 0.485084, acc: 0.781250] [adversarial loss: 1.270035, acc: 0.218750] 27850: [discriminator loss: 0.495637, acc: 0.750000] [adversarial loss: 1.078588, acc: 0.328125] 27851: [discriminator loss: 0.451905, acc: 0.781250] [adversarial loss: 1.289996, acc: 0.187500] 27852: [discriminator loss: 0.521590, acc: 0.742188] [adversarial loss: 0.838712, acc: 0.453125] 27853: [discriminator loss: 0.563522, acc: 0.726562] [adversarial loss: 1.752364, acc: 0.109375] 27854: [discriminator loss: 0.567793, acc: 0.679688] [adversarial loss: 0.795999, acc: 0.500000] 27855: [discriminator loss: 0.604313, acc: 0.695312] [adversarial loss: 1.378182, acc: 0.187500] 27856: [discriminator loss: 0.505156, acc: 0.734375] [adversarial loss: 1.266603, acc: 0.281250] 27857: [discriminator loss: 0.462787, acc: 0.781250] [adversarial loss: 1.415003, acc: 0.109375] 27858: [discriminator loss: 0.508144, acc: 0.796875] [adversarial loss: 1.108179, acc: 0.296875] 27859: [discriminator loss: 0.488217, acc: 0.710938] [adversarial loss: 0.800080, acc: 0.531250] 27860: [discriminator loss: 0.565111, acc: 0.718750] [adversarial loss: 1.271248, acc: 0.218750] 27861: [discriminator loss: 0.501889, acc: 0.726562] [adversarial loss: 1.075783, acc: 0.328125] 27862: [discriminator loss: 0.520078, acc: 0.695312] [adversarial loss: 1.561019, acc: 0.171875] 27863: [discriminator loss: 0.520992, acc: 0.734375] [adversarial loss: 1.063712, acc: 0.359375] 27864: [discriminator loss: 0.499315, acc: 0.742188] [adversarial loss: 1.179166, acc: 0.250000] 27865: [discriminator loss: 0.479287, acc: 0.773438] [adversarial loss: 1.061297, acc: 0.265625] 27866: [discriminator loss: 0.493473, acc: 0.773438] [adversarial loss: 1.015047, acc: 0.375000] 27867: [discriminator loss: 0.518119, acc: 0.726562] [adversarial loss: 1.420350, acc: 0.156250] 27868: [discriminator loss: 0.524812, acc: 0.734375] [adversarial loss: 1.472416, acc: 0.187500] 27869: [discriminator loss: 0.470430, acc: 0.742188] [adversarial loss: 0.809765, acc: 0.453125] 27870: [discriminator loss: 0.542195, acc: 0.710938] [adversarial loss: 2.000145, acc: 0.078125] 27871: [discriminator loss: 0.572183, acc: 0.734375] [adversarial loss: 0.676087, acc: 0.609375] 27872: [discriminator loss: 0.685395, acc: 0.648438] [adversarial loss: 1.701153, acc: 0.062500] 27873: [discriminator loss: 0.553303, acc: 0.750000] [adversarial loss: 1.001994, acc: 0.375000] 27874: [discriminator loss: 0.564880, acc: 0.726562] [adversarial loss: 1.330207, acc: 0.281250] 27875: [discriminator loss: 0.518646, acc: 0.710938] [adversarial loss: 1.344125, acc: 0.156250] 27876: [discriminator loss: 0.503868, acc: 0.734375] [adversarial loss: 1.178900, acc: 0.265625] 27877: [discriminator loss: 0.459411, acc: 0.750000] [adversarial loss: 1.488132, acc: 0.156250] 27878: [discriminator loss: 0.485250, acc: 0.773438] [adversarial loss: 1.087406, acc: 0.296875] 27879: [discriminator loss: 0.559426, acc: 0.734375] [adversarial loss: 1.467058, acc: 0.078125] 27880: [discriminator loss: 0.570182, acc: 0.703125] [adversarial loss: 1.098402, acc: 0.328125] 27881: [discriminator loss: 0.516005, acc: 0.726562] [adversarial loss: 1.424163, acc: 0.140625] 27882: [discriminator loss: 0.508625, acc: 0.710938] [adversarial loss: 0.970041, acc: 0.468750] 27883: [discriminator loss: 0.555360, acc: 0.718750] [adversarial loss: 1.343494, acc: 0.156250] 27884: [discriminator loss: 0.538009, acc: 0.718750] [adversarial loss: 0.990059, acc: 0.406250] 27885: [discriminator loss: 0.524463, acc: 0.742188] [adversarial loss: 1.747519, acc: 0.078125] 27886: [discriminator loss: 0.595448, acc: 0.671875] [adversarial loss: 0.930193, acc: 0.406250] 27887: [discriminator loss: 0.556944, acc: 0.687500] [adversarial loss: 1.222632, acc: 0.250000] 27888: [discriminator loss: 0.549349, acc: 0.726562] [adversarial loss: 1.040854, acc: 0.343750] 27889: [discriminator loss: 0.512509, acc: 0.765625] [adversarial loss: 1.631155, acc: 0.109375] 27890: [discriminator loss: 0.497511, acc: 0.750000] [adversarial loss: 0.848090, acc: 0.468750] 27891: [discriminator loss: 0.567650, acc: 0.687500] [adversarial loss: 1.239391, acc: 0.109375] 27892: [discriminator loss: 0.552605, acc: 0.726562] [adversarial loss: 1.161650, acc: 0.343750] 27893: [discriminator loss: 0.513432, acc: 0.757812] [adversarial loss: 1.380646, acc: 0.140625] 27894: [discriminator loss: 0.468717, acc: 0.765625] [adversarial loss: 1.178925, acc: 0.218750] 27895: [discriminator loss: 0.564357, acc: 0.742188] [adversarial loss: 1.345490, acc: 0.250000] 27896: [discriminator loss: 0.540943, acc: 0.671875] [adversarial loss: 1.407547, acc: 0.203125] 27897: [discriminator loss: 0.484574, acc: 0.835938] [adversarial loss: 1.087305, acc: 0.296875] 27898: [discriminator loss: 0.556263, acc: 0.726562] [adversarial loss: 1.457099, acc: 0.140625] 27899: [discriminator loss: 0.511059, acc: 0.742188] [adversarial loss: 1.048213, acc: 0.359375] 27900: [discriminator loss: 0.559540, acc: 0.710938] [adversarial loss: 1.451057, acc: 0.156250] 27901: [discriminator loss: 0.465684, acc: 0.781250] [adversarial loss: 1.265615, acc: 0.187500] 27902: [discriminator loss: 0.491793, acc: 0.773438] [adversarial loss: 1.174745, acc: 0.234375] 27903: [discriminator loss: 0.523270, acc: 0.742188] [adversarial loss: 1.091295, acc: 0.359375] 27904: [discriminator loss: 0.477032, acc: 0.765625] [adversarial loss: 1.300726, acc: 0.218750] 27905: [discriminator loss: 0.521543, acc: 0.679688] [adversarial loss: 1.175062, acc: 0.203125] 27906: [discriminator loss: 0.582296, acc: 0.718750] [adversarial loss: 1.369776, acc: 0.296875] 27907: [discriminator loss: 0.513294, acc: 0.718750] [adversarial loss: 0.839895, acc: 0.468750] 27908: [discriminator loss: 0.516910, acc: 0.757812] [adversarial loss: 1.938010, acc: 0.062500] 27909: [discriminator loss: 0.609037, acc: 0.648438] [adversarial loss: 0.719390, acc: 0.578125] 27910: [discriminator loss: 0.485428, acc: 0.789062] [adversarial loss: 1.486765, acc: 0.171875] 27911: [discriminator loss: 0.558648, acc: 0.703125] [adversarial loss: 0.974211, acc: 0.453125] 27912: [discriminator loss: 0.576760, acc: 0.734375] [adversarial loss: 1.446573, acc: 0.203125] 27913: [discriminator loss: 0.594084, acc: 0.625000] [adversarial loss: 0.719818, acc: 0.515625] 27914: [discriminator loss: 0.570864, acc: 0.687500] [adversarial loss: 1.565933, acc: 0.109375] 27915: [discriminator loss: 0.537338, acc: 0.710938] [adversarial loss: 1.008287, acc: 0.343750] 27916: [discriminator loss: 0.485428, acc: 0.734375] [adversarial loss: 1.288913, acc: 0.281250] 27917: [discriminator loss: 0.509062, acc: 0.726562] [adversarial loss: 0.923879, acc: 0.453125] 27918: [discriminator loss: 0.629781, acc: 0.648438] [adversarial loss: 1.429638, acc: 0.187500] 27919: [discriminator loss: 0.536975, acc: 0.734375] [adversarial loss: 1.284096, acc: 0.296875] 27920: [discriminator loss: 0.577339, acc: 0.687500] [adversarial loss: 1.263676, acc: 0.265625] 27921: [discriminator loss: 0.495102, acc: 0.718750] [adversarial loss: 1.418457, acc: 0.187500] 27922: [discriminator loss: 0.476472, acc: 0.750000] [adversarial loss: 0.968824, acc: 0.437500] 27923: [discriminator loss: 0.671639, acc: 0.609375] [adversarial loss: 1.911228, acc: 0.078125] 27924: [discriminator loss: 0.549707, acc: 0.703125] [adversarial loss: 0.836598, acc: 0.468750] 27925: [discriminator loss: 0.566230, acc: 0.703125] [adversarial loss: 1.332187, acc: 0.140625] 27926: [discriminator loss: 0.500914, acc: 0.726562] [adversarial loss: 1.018581, acc: 0.406250] 27927: [discriminator loss: 0.559193, acc: 0.742188] [adversarial loss: 1.096631, acc: 0.296875] 27928: [discriminator loss: 0.463769, acc: 0.742188] [adversarial loss: 1.269509, acc: 0.218750] 27929: [discriminator loss: 0.543525, acc: 0.742188] [adversarial loss: 1.045404, acc: 0.343750] 27930: [discriminator loss: 0.490110, acc: 0.750000] [adversarial loss: 1.251736, acc: 0.156250] 27931: [discriminator loss: 0.516672, acc: 0.726562] [adversarial loss: 1.129956, acc: 0.250000] 27932: [discriminator loss: 0.502493, acc: 0.726562] [adversarial loss: 1.361222, acc: 0.218750] 27933: [discriminator loss: 0.512857, acc: 0.742188] [adversarial loss: 1.712996, acc: 0.078125] 27934: [discriminator loss: 0.522074, acc: 0.734375] [adversarial loss: 0.977742, acc: 0.437500] 27935: [discriminator loss: 0.609852, acc: 0.625000] [adversarial loss: 1.771684, acc: 0.125000] 27936: [discriminator loss: 0.577656, acc: 0.664062] [adversarial loss: 0.910472, acc: 0.437500] 27937: [discriminator loss: 0.513394, acc: 0.671875] [adversarial loss: 1.626585, acc: 0.156250] 27938: [discriminator loss: 0.521718, acc: 0.742188] [adversarial loss: 1.169662, acc: 0.218750] 27939: [discriminator loss: 0.546813, acc: 0.679688] [adversarial loss: 1.441956, acc: 0.203125] 27940: [discriminator loss: 0.512746, acc: 0.703125] [adversarial loss: 0.862754, acc: 0.468750] 27941: [discriminator loss: 0.502958, acc: 0.742188] [adversarial loss: 1.437044, acc: 0.140625] 27942: [discriminator loss: 0.510330, acc: 0.750000] [adversarial loss: 1.329698, acc: 0.203125] 27943: [discriminator loss: 0.557846, acc: 0.718750] [adversarial loss: 1.416703, acc: 0.218750] 27944: [discriminator loss: 0.551603, acc: 0.664062] [adversarial loss: 1.414283, acc: 0.218750] 27945: [discriminator loss: 0.539786, acc: 0.742188] [adversarial loss: 1.069318, acc: 0.390625] 27946: [discriminator loss: 0.494022, acc: 0.750000] [adversarial loss: 1.327576, acc: 0.187500] 27947: [discriminator loss: 0.478124, acc: 0.742188] [adversarial loss: 0.992184, acc: 0.406250] 27948: [discriminator loss: 0.486575, acc: 0.765625] [adversarial loss: 1.446342, acc: 0.125000] 27949: [discriminator loss: 0.450008, acc: 0.773438] [adversarial loss: 1.172985, acc: 0.281250] 27950: [discriminator loss: 0.420624, acc: 0.843750] [adversarial loss: 1.169239, acc: 0.203125] 27951: [discriminator loss: 0.499822, acc: 0.765625] [adversarial loss: 1.366998, acc: 0.140625] 27952: [discriminator loss: 0.504200, acc: 0.750000] [adversarial loss: 1.218940, acc: 0.312500] 27953: [discriminator loss: 0.532164, acc: 0.710938] [adversarial loss: 1.108689, acc: 0.312500] 27954: [discriminator loss: 0.615475, acc: 0.687500] [adversarial loss: 1.542716, acc: 0.125000] 27955: [discriminator loss: 0.564174, acc: 0.679688] [adversarial loss: 0.971269, acc: 0.328125] 27956: [discriminator loss: 0.515643, acc: 0.757812] [adversarial loss: 1.829673, acc: 0.093750] 27957: [discriminator loss: 0.614049, acc: 0.687500] [adversarial loss: 0.819437, acc: 0.531250] 27958: [discriminator loss: 0.604460, acc: 0.640625] [adversarial loss: 1.883103, acc: 0.062500] 27959: [discriminator loss: 0.612112, acc: 0.687500] [adversarial loss: 1.032722, acc: 0.406250] 27960: [discriminator loss: 0.578566, acc: 0.664062] [adversarial loss: 1.590384, acc: 0.093750] 27961: [discriminator loss: 0.551637, acc: 0.679688] [adversarial loss: 0.900226, acc: 0.437500] 27962: [discriminator loss: 0.574596, acc: 0.750000] [adversarial loss: 1.560558, acc: 0.265625] 27963: [discriminator loss: 0.584496, acc: 0.695312] [adversarial loss: 1.126531, acc: 0.250000] 27964: [discriminator loss: 0.563822, acc: 0.695312] [adversarial loss: 1.206046, acc: 0.265625] 27965: [discriminator loss: 0.450609, acc: 0.804688] [adversarial loss: 1.053510, acc: 0.328125] 27966: [discriminator loss: 0.485375, acc: 0.710938] [adversarial loss: 1.174240, acc: 0.328125] 27967: [discriminator loss: 0.568094, acc: 0.687500] [adversarial loss: 1.241793, acc: 0.234375] 27968: [discriminator loss: 0.545923, acc: 0.742188] [adversarial loss: 1.017428, acc: 0.343750] 27969: [discriminator loss: 0.493772, acc: 0.796875] [adversarial loss: 1.193669, acc: 0.187500] 27970: [discriminator loss: 0.502283, acc: 0.812500] [adversarial loss: 1.341480, acc: 0.171875] 27971: [discriminator loss: 0.504915, acc: 0.796875] [adversarial loss: 1.278300, acc: 0.265625] 27972: [discriminator loss: 0.491254, acc: 0.781250] [adversarial loss: 1.258616, acc: 0.265625] 27973: [discriminator loss: 0.478576, acc: 0.789062] [adversarial loss: 1.198519, acc: 0.281250] 27974: [discriminator loss: 0.536800, acc: 0.718750] [adversarial loss: 1.218777, acc: 0.265625] 27975: [discriminator loss: 0.576569, acc: 0.718750] [adversarial loss: 1.060834, acc: 0.390625] 27976: [discriminator loss: 0.474344, acc: 0.750000] [adversarial loss: 1.561700, acc: 0.109375] 27977: [discriminator loss: 0.493530, acc: 0.750000] [adversarial loss: 1.002594, acc: 0.437500] 27978: [discriminator loss: 0.510173, acc: 0.781250] [adversarial loss: 1.177850, acc: 0.265625] 27979: [discriminator loss: 0.584410, acc: 0.664062] [adversarial loss: 0.836272, acc: 0.484375] 27980: [discriminator loss: 0.585669, acc: 0.687500] [adversarial loss: 1.598962, acc: 0.125000] 27981: [discriminator loss: 0.638692, acc: 0.640625] [adversarial loss: 0.682826, acc: 0.625000] 27982: [discriminator loss: 0.555014, acc: 0.742188] [adversarial loss: 1.678149, acc: 0.140625] 27983: [discriminator loss: 0.501514, acc: 0.726562] [adversarial loss: 0.745014, acc: 0.531250] 27984: [discriminator loss: 0.625601, acc: 0.664062] [adversarial loss: 1.298048, acc: 0.218750] 27985: [discriminator loss: 0.525765, acc: 0.734375] [adversarial loss: 0.832901, acc: 0.515625] 27986: [discriminator loss: 0.518332, acc: 0.750000] [adversarial loss: 1.369596, acc: 0.140625] 27987: [discriminator loss: 0.496406, acc: 0.750000] [adversarial loss: 1.083438, acc: 0.296875] 27988: [discriminator loss: 0.527626, acc: 0.695312] [adversarial loss: 1.344934, acc: 0.156250] 27989: [discriminator loss: 0.497337, acc: 0.781250] [adversarial loss: 0.966221, acc: 0.375000] 27990: [discriminator loss: 0.556399, acc: 0.718750] [adversarial loss: 1.707888, acc: 0.125000] 27991: [discriminator loss: 0.488991, acc: 0.734375] [adversarial loss: 0.842567, acc: 0.437500] 27992: [discriminator loss: 0.539281, acc: 0.687500] [adversarial loss: 1.618396, acc: 0.031250] 27993: [discriminator loss: 0.490745, acc: 0.757812] [adversarial loss: 1.057240, acc: 0.312500] 27994: [discriminator loss: 0.534950, acc: 0.734375] [adversarial loss: 1.864362, acc: 0.078125] 27995: [discriminator loss: 0.532521, acc: 0.687500] [adversarial loss: 1.059712, acc: 0.390625] 27996: [discriminator loss: 0.655842, acc: 0.640625] [adversarial loss: 1.521878, acc: 0.125000] 27997: [discriminator loss: 0.595566, acc: 0.695312] [adversarial loss: 0.947877, acc: 0.406250] 27998: [discriminator loss: 0.593394, acc: 0.679688] [adversarial loss: 1.435028, acc: 0.156250] 27999: [discriminator loss: 0.619100, acc: 0.664062] [adversarial loss: 0.906461, acc: 0.421875] 28000: [discriminator loss: 0.532311, acc: 0.750000] [adversarial loss: 1.461121, acc: 0.171875] 28001: [discriminator loss: 0.567782, acc: 0.710938] [adversarial loss: 0.865071, acc: 0.484375] 28002: [discriminator loss: 0.601344, acc: 0.703125] [adversarial loss: 1.374267, acc: 0.187500] 28003: [discriminator loss: 0.493080, acc: 0.765625] [adversarial loss: 1.108432, acc: 0.203125] 28004: [discriminator loss: 0.535609, acc: 0.742188] [adversarial loss: 1.040123, acc: 0.281250] 28005: [discriminator loss: 0.483981, acc: 0.765625] [adversarial loss: 1.262052, acc: 0.234375] 28006: [discriminator loss: 0.476112, acc: 0.789062] [adversarial loss: 1.145855, acc: 0.250000] 28007: [discriminator loss: 0.467093, acc: 0.734375] [adversarial loss: 1.098830, acc: 0.312500] 28008: [discriminator loss: 0.466301, acc: 0.789062] [adversarial loss: 1.200181, acc: 0.390625] 28009: [discriminator loss: 0.507308, acc: 0.765625] [adversarial loss: 1.144298, acc: 0.328125] 28010: [discriminator loss: 0.545692, acc: 0.781250] [adversarial loss: 1.278472, acc: 0.234375] 28011: [discriminator loss: 0.541464, acc: 0.718750] [adversarial loss: 0.980831, acc: 0.437500] 28012: [discriminator loss: 0.544426, acc: 0.703125] [adversarial loss: 1.710984, acc: 0.062500] 28013: [discriminator loss: 0.595533, acc: 0.648438] [adversarial loss: 0.886291, acc: 0.406250] 28014: [discriminator loss: 0.560238, acc: 0.703125] [adversarial loss: 1.703639, acc: 0.046875] 28015: [discriminator loss: 0.544152, acc: 0.742188] [adversarial loss: 0.916048, acc: 0.375000] 28016: [discriminator loss: 0.467909, acc: 0.796875] [adversarial loss: 1.250989, acc: 0.234375] 28017: [discriminator loss: 0.548579, acc: 0.671875] [adversarial loss: 1.006021, acc: 0.406250] 28018: [discriminator loss: 0.530781, acc: 0.718750] [adversarial loss: 1.635138, acc: 0.125000] 28019: [discriminator loss: 0.523855, acc: 0.679688] [adversarial loss: 0.717960, acc: 0.593750] 28020: [discriminator loss: 0.616093, acc: 0.687500] [adversarial loss: 1.507941, acc: 0.187500] 28021: [discriminator loss: 0.592985, acc: 0.703125] [adversarial loss: 1.078821, acc: 0.296875] 28022: [discriminator loss: 0.545762, acc: 0.742188] [adversarial loss: 1.469583, acc: 0.109375] 28023: [discriminator loss: 0.563224, acc: 0.718750] [adversarial loss: 1.019540, acc: 0.312500] 28024: [discriminator loss: 0.495109, acc: 0.742188] [adversarial loss: 1.381548, acc: 0.265625] 28025: [discriminator loss: 0.624651, acc: 0.648438] [adversarial loss: 0.932467, acc: 0.421875] 28026: [discriminator loss: 0.539579, acc: 0.718750] [adversarial loss: 1.518726, acc: 0.140625] 28027: [discriminator loss: 0.609678, acc: 0.695312] [adversarial loss: 0.806998, acc: 0.531250] 28028: [discriminator loss: 0.510753, acc: 0.718750] [adversarial loss: 1.586844, acc: 0.140625] 28029: [discriminator loss: 0.514142, acc: 0.648438] [adversarial loss: 0.961795, acc: 0.328125] 28030: [discriminator loss: 0.585379, acc: 0.695312] [adversarial loss: 1.537907, acc: 0.093750] 28031: [discriminator loss: 0.604199, acc: 0.632812] [adversarial loss: 1.050110, acc: 0.328125] 28032: [discriminator loss: 0.550718, acc: 0.695312] [adversarial loss: 1.386552, acc: 0.250000] 28033: [discriminator loss: 0.520443, acc: 0.742188] [adversarial loss: 1.283413, acc: 0.296875] 28034: [discriminator loss: 0.443020, acc: 0.828125] [adversarial loss: 1.309040, acc: 0.234375] 28035: [discriminator loss: 0.514765, acc: 0.734375] [adversarial loss: 1.280904, acc: 0.250000] 28036: [discriminator loss: 0.488058, acc: 0.750000] [adversarial loss: 1.317786, acc: 0.218750] 28037: [discriminator loss: 0.515281, acc: 0.734375] [adversarial loss: 1.188105, acc: 0.218750] 28038: [discriminator loss: 0.471181, acc: 0.742188] [adversarial loss: 1.194409, acc: 0.250000] 28039: [discriminator loss: 0.482064, acc: 0.742188] [adversarial loss: 1.094533, acc: 0.281250] 28040: [discriminator loss: 0.459661, acc: 0.781250] [adversarial loss: 1.164056, acc: 0.296875] 28041: [discriminator loss: 0.505909, acc: 0.742188] [adversarial loss: 1.220343, acc: 0.187500] 28042: [discriminator loss: 0.530903, acc: 0.664062] [adversarial loss: 1.530210, acc: 0.171875] 28043: [discriminator loss: 0.437443, acc: 0.828125] [adversarial loss: 0.926935, acc: 0.406250] 28044: [discriminator loss: 0.510193, acc: 0.734375] [adversarial loss: 1.485930, acc: 0.171875] 28045: [discriminator loss: 0.504307, acc: 0.773438] [adversarial loss: 0.822001, acc: 0.515625] 28046: [discriminator loss: 0.458818, acc: 0.765625] [adversarial loss: 1.660197, acc: 0.109375] 28047: [discriminator loss: 0.583205, acc: 0.718750] [adversarial loss: 0.956256, acc: 0.484375] 28048: [discriminator loss: 0.556351, acc: 0.757812] [adversarial loss: 1.527970, acc: 0.140625] 28049: [discriminator loss: 0.498022, acc: 0.750000] [adversarial loss: 1.021602, acc: 0.296875] 28050: [discriminator loss: 0.483501, acc: 0.742188] [adversarial loss: 1.268248, acc: 0.296875] 28051: [discriminator loss: 0.599310, acc: 0.671875] [adversarial loss: 1.398246, acc: 0.156250] 28052: [discriminator loss: 0.506279, acc: 0.773438] [adversarial loss: 1.278093, acc: 0.187500] 28053: [discriminator loss: 0.531028, acc: 0.695312] [adversarial loss: 1.279304, acc: 0.234375] 28054: [discriminator loss: 0.538495, acc: 0.726562] [adversarial loss: 0.989397, acc: 0.390625] 28055: [discriminator loss: 0.538175, acc: 0.750000] [adversarial loss: 1.402272, acc: 0.140625] 28056: [discriminator loss: 0.468308, acc: 0.812500] [adversarial loss: 0.889678, acc: 0.468750] 28057: [discriminator loss: 0.576059, acc: 0.679688] [adversarial loss: 1.541838, acc: 0.093750] 28058: [discriminator loss: 0.623485, acc: 0.671875] [adversarial loss: 0.820696, acc: 0.515625] 28059: [discriminator loss: 0.524376, acc: 0.742188] [adversarial loss: 1.617795, acc: 0.140625] 28060: [discriminator loss: 0.563870, acc: 0.656250] [adversarial loss: 0.810573, acc: 0.484375] 28061: [discriminator loss: 0.560115, acc: 0.734375] [adversarial loss: 1.446884, acc: 0.187500] 28062: [discriminator loss: 0.508438, acc: 0.750000] [adversarial loss: 0.893614, acc: 0.515625] 28063: [discriminator loss: 0.604856, acc: 0.695312] [adversarial loss: 1.250221, acc: 0.281250] 28064: [discriminator loss: 0.542424, acc: 0.679688] [adversarial loss: 0.683823, acc: 0.609375] 28065: [discriminator loss: 0.618098, acc: 0.687500] [adversarial loss: 1.167287, acc: 0.296875] 28066: [discriminator loss: 0.566300, acc: 0.671875] [adversarial loss: 0.961251, acc: 0.359375] 28067: [discriminator loss: 0.509236, acc: 0.726562] [adversarial loss: 1.634720, acc: 0.078125] 28068: [discriminator loss: 0.540392, acc: 0.718750] [adversarial loss: 1.227034, acc: 0.312500] 28069: [discriminator loss: 0.495744, acc: 0.742188] [adversarial loss: 1.453340, acc: 0.187500] 28070: [discriminator loss: 0.542293, acc: 0.750000] [adversarial loss: 1.013384, acc: 0.375000] 28071: [discriminator loss: 0.496292, acc: 0.750000] [adversarial loss: 1.165390, acc: 0.203125] 28072: [discriminator loss: 0.467316, acc: 0.796875] [adversarial loss: 1.254678, acc: 0.296875] 28073: [discriminator loss: 0.474192, acc: 0.757812] [adversarial loss: 1.179287, acc: 0.328125] 28074: [discriminator loss: 0.577382, acc: 0.687500] [adversarial loss: 1.643761, acc: 0.125000] 28075: [discriminator loss: 0.563947, acc: 0.679688] [adversarial loss: 1.209715, acc: 0.265625] 28076: [discriminator loss: 0.478015, acc: 0.773438] [adversarial loss: 1.318727, acc: 0.187500] 28077: [discriminator loss: 0.516056, acc: 0.687500] [adversarial loss: 1.077241, acc: 0.359375] 28078: [discriminator loss: 0.566073, acc: 0.687500] [adversarial loss: 1.415391, acc: 0.140625] 28079: [discriminator loss: 0.513532, acc: 0.718750] [adversarial loss: 1.036201, acc: 0.343750] 28080: [discriminator loss: 0.446219, acc: 0.804688] [adversarial loss: 1.664275, acc: 0.093750] 28081: [discriminator loss: 0.526438, acc: 0.750000] [adversarial loss: 1.294532, acc: 0.296875] 28082: [discriminator loss: 0.464584, acc: 0.757812] [adversarial loss: 1.354817, acc: 0.171875] 28083: [discriminator loss: 0.539040, acc: 0.695312] [adversarial loss: 1.210988, acc: 0.281250] 28084: [discriminator loss: 0.599010, acc: 0.632812] [adversarial loss: 1.206613, acc: 0.281250] 28085: [discriminator loss: 0.509715, acc: 0.695312] [adversarial loss: 1.659457, acc: 0.109375] 28086: [discriminator loss: 0.556030, acc: 0.687500] [adversarial loss: 0.768675, acc: 0.562500] 28087: [discriminator loss: 0.605117, acc: 0.703125] [adversarial loss: 1.800652, acc: 0.046875] 28088: [discriminator loss: 0.546317, acc: 0.695312] [adversarial loss: 0.857891, acc: 0.500000] 28089: [discriminator loss: 0.577460, acc: 0.703125] [adversarial loss: 1.530088, acc: 0.140625] 28090: [discriminator loss: 0.482139, acc: 0.750000] [adversarial loss: 0.901781, acc: 0.421875] 28091: [discriminator loss: 0.570425, acc: 0.687500] [adversarial loss: 1.718645, acc: 0.093750] 28092: [discriminator loss: 0.546757, acc: 0.671875] [adversarial loss: 0.993464, acc: 0.359375] 28093: [discriminator loss: 0.559263, acc: 0.710938] [adversarial loss: 1.375821, acc: 0.156250] 28094: [discriminator loss: 0.617967, acc: 0.578125] [adversarial loss: 0.775918, acc: 0.515625] 28095: [discriminator loss: 0.500209, acc: 0.710938] [adversarial loss: 1.270752, acc: 0.218750] 28096: [discriminator loss: 0.493442, acc: 0.750000] [adversarial loss: 1.460820, acc: 0.109375] 28097: [discriminator loss: 0.478916, acc: 0.765625] [adversarial loss: 1.106246, acc: 0.265625] 28098: [discriminator loss: 0.528804, acc: 0.742188] [adversarial loss: 1.210754, acc: 0.265625] 28099: [discriminator loss: 0.559331, acc: 0.703125] [adversarial loss: 1.198419, acc: 0.296875] 28100: [discriminator loss: 0.521874, acc: 0.710938] [adversarial loss: 1.041988, acc: 0.281250] 28101: [discriminator loss: 0.524871, acc: 0.726562] [adversarial loss: 1.105369, acc: 0.250000] 28102: [discriminator loss: 0.508273, acc: 0.765625] [adversarial loss: 1.149140, acc: 0.218750] 28103: [discriminator loss: 0.524098, acc: 0.750000] [adversarial loss: 1.215387, acc: 0.203125] 28104: [discriminator loss: 0.590810, acc: 0.632812] [adversarial loss: 1.305715, acc: 0.171875] 28105: [discriminator loss: 0.539514, acc: 0.687500] [adversarial loss: 1.035739, acc: 0.281250] 28106: [discriminator loss: 0.535293, acc: 0.726562] [adversarial loss: 1.347076, acc: 0.203125] 28107: [discriminator loss: 0.612505, acc: 0.664062] [adversarial loss: 1.224948, acc: 0.281250] 28108: [discriminator loss: 0.456560, acc: 0.867188] [adversarial loss: 1.214735, acc: 0.218750] 28109: [discriminator loss: 0.523437, acc: 0.710938] [adversarial loss: 1.364007, acc: 0.250000] 28110: [discriminator loss: 0.476934, acc: 0.781250] [adversarial loss: 1.140513, acc: 0.406250] 28111: [discriminator loss: 0.567740, acc: 0.648438] [adversarial loss: 1.333463, acc: 0.171875] 28112: [discriminator loss: 0.470423, acc: 0.773438] [adversarial loss: 1.202777, acc: 0.281250] 28113: [discriminator loss: 0.527825, acc: 0.734375] [adversarial loss: 1.080292, acc: 0.375000] 28114: [discriminator loss: 0.503660, acc: 0.757812] [adversarial loss: 1.345226, acc: 0.281250] 28115: [discriminator loss: 0.462898, acc: 0.773438] [adversarial loss: 0.933175, acc: 0.468750] 28116: [discriminator loss: 0.550107, acc: 0.726562] [adversarial loss: 1.924880, acc: 0.062500] 28117: [discriminator loss: 0.607994, acc: 0.648438] [adversarial loss: 0.606370, acc: 0.703125] 28118: [discriminator loss: 0.564422, acc: 0.710938] [adversarial loss: 1.733148, acc: 0.125000] 28119: [discriminator loss: 0.491561, acc: 0.734375] [adversarial loss: 0.908000, acc: 0.406250] 28120: [discriminator loss: 0.453636, acc: 0.773438] [adversarial loss: 1.020029, acc: 0.359375] 28121: [discriminator loss: 0.497389, acc: 0.789062] [adversarial loss: 1.349746, acc: 0.296875] 28122: [discriminator loss: 0.510678, acc: 0.734375] [adversarial loss: 0.755550, acc: 0.578125] 28123: [discriminator loss: 0.635773, acc: 0.656250] [adversarial loss: 1.551624, acc: 0.125000] 28124: [discriminator loss: 0.590036, acc: 0.601562] [adversarial loss: 0.814443, acc: 0.500000] 28125: [discriminator loss: 0.539508, acc: 0.718750] [adversarial loss: 1.470253, acc: 0.171875] 28126: [discriminator loss: 0.533079, acc: 0.718750] [adversarial loss: 1.068685, acc: 0.343750] 28127: [discriminator loss: 0.522510, acc: 0.726562] [adversarial loss: 1.313848, acc: 0.203125] 28128: [discriminator loss: 0.477594, acc: 0.750000] [adversarial loss: 0.879407, acc: 0.437500] 28129: [discriminator loss: 0.525381, acc: 0.734375] [adversarial loss: 1.641262, acc: 0.093750] 28130: [discriminator loss: 0.548942, acc: 0.679688] [adversarial loss: 1.023440, acc: 0.328125] 28131: [discriminator loss: 0.494490, acc: 0.750000] [adversarial loss: 1.355271, acc: 0.125000] 28132: [discriminator loss: 0.473529, acc: 0.789062] [adversarial loss: 1.451632, acc: 0.250000] 28133: [discriminator loss: 0.511608, acc: 0.742188] [adversarial loss: 1.259627, acc: 0.187500] 28134: [discriminator loss: 0.566272, acc: 0.695312] [adversarial loss: 0.975781, acc: 0.359375] 28135: [discriminator loss: 0.576337, acc: 0.671875] [adversarial loss: 1.679820, acc: 0.140625] 28136: [discriminator loss: 0.596528, acc: 0.718750] [adversarial loss: 0.991296, acc: 0.421875] 28137: [discriminator loss: 0.464190, acc: 0.789062] [adversarial loss: 1.733082, acc: 0.031250] 28138: [discriminator loss: 0.528300, acc: 0.734375] [adversarial loss: 1.012406, acc: 0.406250] 28139: [discriminator loss: 0.515132, acc: 0.757812] [adversarial loss: 1.318732, acc: 0.218750] 28140: [discriminator loss: 0.448084, acc: 0.789062] [adversarial loss: 1.255028, acc: 0.171875] 28141: [discriminator loss: 0.526386, acc: 0.710938] [adversarial loss: 1.219529, acc: 0.296875] 28142: [discriminator loss: 0.554067, acc: 0.710938] [adversarial loss: 1.211294, acc: 0.250000] 28143: [discriminator loss: 0.558226, acc: 0.718750] [adversarial loss: 1.170050, acc: 0.296875] 28144: [discriminator loss: 0.435402, acc: 0.835938] [adversarial loss: 1.183304, acc: 0.281250] 28145: [discriminator loss: 0.433922, acc: 0.765625] [adversarial loss: 1.424427, acc: 0.250000] 28146: [discriminator loss: 0.491142, acc: 0.734375] [adversarial loss: 0.917805, acc: 0.375000] 28147: [discriminator loss: 0.490862, acc: 0.765625] [adversarial loss: 1.366571, acc: 0.156250] 28148: [discriminator loss: 0.599059, acc: 0.671875] [adversarial loss: 0.718315, acc: 0.562500] 28149: [discriminator loss: 0.632129, acc: 0.687500] [adversarial loss: 1.353017, acc: 0.218750] 28150: [discriminator loss: 0.551652, acc: 0.726562] [adversarial loss: 0.938904, acc: 0.390625] 28151: [discriminator loss: 0.544321, acc: 0.742188] [adversarial loss: 1.242391, acc: 0.218750] 28152: [discriminator loss: 0.527308, acc: 0.757812] [adversarial loss: 1.042831, acc: 0.328125] 28153: [discriminator loss: 0.473541, acc: 0.750000] [adversarial loss: 1.492063, acc: 0.187500] 28154: [discriminator loss: 0.464457, acc: 0.796875] [adversarial loss: 1.097132, acc: 0.328125] 28155: [discriminator loss: 0.559701, acc: 0.695312] [adversarial loss: 1.268895, acc: 0.250000] 28156: [discriminator loss: 0.444426, acc: 0.812500] [adversarial loss: 0.994997, acc: 0.421875] 28157: [discriminator loss: 0.594855, acc: 0.703125] [adversarial loss: 1.355799, acc: 0.156250] 28158: [discriminator loss: 0.422903, acc: 0.828125] [adversarial loss: 0.916489, acc: 0.515625] 28159: [discriminator loss: 0.479282, acc: 0.742188] [adversarial loss: 1.575504, acc: 0.187500] 28160: [discriminator loss: 0.570700, acc: 0.687500] [adversarial loss: 0.851545, acc: 0.437500] 28161: [discriminator loss: 0.514699, acc: 0.718750] [adversarial loss: 1.211544, acc: 0.281250] 28162: [discriminator loss: 0.487010, acc: 0.718750] [adversarial loss: 0.683358, acc: 0.562500] 28163: [discriminator loss: 0.487690, acc: 0.765625] [adversarial loss: 1.239511, acc: 0.234375] 28164: [discriminator loss: 0.532415, acc: 0.687500] [adversarial loss: 0.883659, acc: 0.421875] 28165: [discriminator loss: 0.565846, acc: 0.695312] [adversarial loss: 1.061424, acc: 0.312500] 28166: [discriminator loss: 0.488884, acc: 0.765625] [adversarial loss: 1.042219, acc: 0.296875] 28167: [discriminator loss: 0.505830, acc: 0.710938] [adversarial loss: 1.231232, acc: 0.265625] 28168: [discriminator loss: 0.536404, acc: 0.718750] [adversarial loss: 1.119822, acc: 0.312500] 28169: [discriminator loss: 0.566038, acc: 0.718750] [adversarial loss: 1.692358, acc: 0.125000] 28170: [discriminator loss: 0.645629, acc: 0.617188] [adversarial loss: 1.059639, acc: 0.406250] 28171: [discriminator loss: 0.524351, acc: 0.726562] [adversarial loss: 1.445884, acc: 0.187500] 28172: [discriminator loss: 0.517973, acc: 0.726562] [adversarial loss: 1.132294, acc: 0.218750] 28173: [discriminator loss: 0.578025, acc: 0.710938] [adversarial loss: 1.598585, acc: 0.218750] 28174: [discriminator loss: 0.500954, acc: 0.773438] [adversarial loss: 1.213021, acc: 0.375000] 28175: [discriminator loss: 0.572934, acc: 0.695312] [adversarial loss: 1.462347, acc: 0.187500] 28176: [discriminator loss: 0.440235, acc: 0.804688] [adversarial loss: 1.597043, acc: 0.093750] 28177: [discriminator loss: 0.482541, acc: 0.750000] [adversarial loss: 1.235254, acc: 0.281250] 28178: [discriminator loss: 0.503456, acc: 0.734375] [adversarial loss: 1.616798, acc: 0.171875] 28179: [discriminator loss: 0.646520, acc: 0.648438] [adversarial loss: 1.457278, acc: 0.125000] 28180: [discriminator loss: 0.506105, acc: 0.750000] [adversarial loss: 1.527545, acc: 0.140625] 28181: [discriminator loss: 0.485361, acc: 0.773438] [adversarial loss: 1.191765, acc: 0.328125] 28182: [discriminator loss: 0.525039, acc: 0.765625] [adversarial loss: 1.647694, acc: 0.062500] 28183: [discriminator loss: 0.474129, acc: 0.757812] [adversarial loss: 0.890733, acc: 0.406250] 28184: [discriminator loss: 0.631497, acc: 0.687500] [adversarial loss: 2.097585, acc: 0.000000] 28185: [discriminator loss: 0.581855, acc: 0.656250] [adversarial loss: 0.834194, acc: 0.531250] 28186: [discriminator loss: 0.620413, acc: 0.671875] [adversarial loss: 1.824409, acc: 0.109375] 28187: [discriminator loss: 0.621591, acc: 0.640625] [adversarial loss: 1.350879, acc: 0.156250] 28188: [discriminator loss: 0.496795, acc: 0.765625] [adversarial loss: 1.591731, acc: 0.140625] 28189: [discriminator loss: 0.522552, acc: 0.718750] [adversarial loss: 1.003428, acc: 0.359375] 28190: [discriminator loss: 0.558686, acc: 0.734375] [adversarial loss: 1.490132, acc: 0.187500] 28191: [discriminator loss: 0.553715, acc: 0.750000] [adversarial loss: 0.899870, acc: 0.453125] 28192: [discriminator loss: 0.576127, acc: 0.664062] [adversarial loss: 1.688997, acc: 0.125000] 28193: [discriminator loss: 0.493880, acc: 0.710938] [adversarial loss: 0.933141, acc: 0.421875] 28194: [discriminator loss: 0.536687, acc: 0.765625] [adversarial loss: 1.497790, acc: 0.250000] 28195: [discriminator loss: 0.529007, acc: 0.750000] [adversarial loss: 1.218572, acc: 0.281250] 28196: [discriminator loss: 0.542009, acc: 0.742188] [adversarial loss: 1.312225, acc: 0.218750] 28197: [discriminator loss: 0.524818, acc: 0.710938] [adversarial loss: 1.239950, acc: 0.171875] 28198: [discriminator loss: 0.426630, acc: 0.843750] [adversarial loss: 1.145117, acc: 0.312500] 28199: [discriminator loss: 0.532044, acc: 0.718750] [adversarial loss: 1.296962, acc: 0.187500] 28200: [discriminator loss: 0.482286, acc: 0.789062] [adversarial loss: 1.197103, acc: 0.296875] 28201: [discriminator loss: 0.536943, acc: 0.726562] [adversarial loss: 1.208466, acc: 0.250000] 28202: [discriminator loss: 0.474632, acc: 0.757812] [adversarial loss: 1.098985, acc: 0.312500] 28203: [discriminator loss: 0.487436, acc: 0.789062] [adversarial loss: 1.309749, acc: 0.171875] 28204: [discriminator loss: 0.550846, acc: 0.734375] [adversarial loss: 1.355866, acc: 0.234375] 28205: [discriminator loss: 0.501834, acc: 0.750000] [adversarial loss: 1.041546, acc: 0.390625] 28206: [discriminator loss: 0.454953, acc: 0.750000] [adversarial loss: 1.096559, acc: 0.359375] 28207: [discriminator loss: 0.507186, acc: 0.757812] [adversarial loss: 1.109480, acc: 0.312500] 28208: [discriminator loss: 0.564711, acc: 0.679688] [adversarial loss: 1.274980, acc: 0.296875] 28209: [discriminator loss: 0.561939, acc: 0.734375] [adversarial loss: 0.871352, acc: 0.500000] 28210: [discriminator loss: 0.561107, acc: 0.726562] [adversarial loss: 1.780355, acc: 0.140625] 28211: [discriminator loss: 0.509775, acc: 0.726562] [adversarial loss: 0.855231, acc: 0.437500] 28212: [discriminator loss: 0.436402, acc: 0.789062] [adversarial loss: 1.040365, acc: 0.484375] 28213: [discriminator loss: 0.494152, acc: 0.757812] [adversarial loss: 1.535694, acc: 0.140625] 28214: [discriminator loss: 0.530384, acc: 0.703125] [adversarial loss: 0.857943, acc: 0.453125] 28215: [discriminator loss: 0.546411, acc: 0.726562] [adversarial loss: 1.804688, acc: 0.093750] 28216: [discriminator loss: 0.559726, acc: 0.710938] [adversarial loss: 0.844631, acc: 0.484375] 28217: [discriminator loss: 0.550744, acc: 0.726562] [adversarial loss: 1.342429, acc: 0.109375] 28218: [discriminator loss: 0.512784, acc: 0.718750] [adversarial loss: 1.111853, acc: 0.343750] 28219: [discriminator loss: 0.501150, acc: 0.765625] [adversarial loss: 1.393455, acc: 0.171875] 28220: [discriminator loss: 0.523567, acc: 0.726562] [adversarial loss: 0.987632, acc: 0.328125] 28221: [discriminator loss: 0.508182, acc: 0.710938] [adversarial loss: 1.337964, acc: 0.265625] 28222: [discriminator loss: 0.481726, acc: 0.773438] [adversarial loss: 1.116839, acc: 0.312500] 28223: [discriminator loss: 0.604059, acc: 0.695312] [adversarial loss: 1.431345, acc: 0.171875] 28224: [discriminator loss: 0.470970, acc: 0.750000] [adversarial loss: 1.120423, acc: 0.359375] 28225: [discriminator loss: 0.478848, acc: 0.742188] [adversarial loss: 1.443794, acc: 0.171875] 28226: [discriminator loss: 0.520167, acc: 0.718750] [adversarial loss: 1.023223, acc: 0.390625] 28227: [discriminator loss: 0.567417, acc: 0.726562] [adversarial loss: 1.224780, acc: 0.265625] 28228: [discriminator loss: 0.579011, acc: 0.718750] [adversarial loss: 0.796611, acc: 0.531250] 28229: [discriminator loss: 0.548791, acc: 0.687500] [adversarial loss: 1.538267, acc: 0.156250] 28230: [discriminator loss: 0.458635, acc: 0.765625] [adversarial loss: 0.843897, acc: 0.500000] 28231: [discriminator loss: 0.611801, acc: 0.695312] [adversarial loss: 1.958648, acc: 0.046875] 28232: [discriminator loss: 0.597335, acc: 0.679688] [adversarial loss: 0.878759, acc: 0.468750] 28233: [discriminator loss: 0.537830, acc: 0.726562] [adversarial loss: 1.579185, acc: 0.125000] 28234: [discriminator loss: 0.536389, acc: 0.726562] [adversarial loss: 1.059770, acc: 0.359375] 28235: [discriminator loss: 0.557230, acc: 0.703125] [adversarial loss: 1.330257, acc: 0.218750] 28236: [discriminator loss: 0.594022, acc: 0.679688] [adversarial loss: 1.234641, acc: 0.312500] 28237: [discriminator loss: 0.539859, acc: 0.703125] [adversarial loss: 1.052541, acc: 0.343750] 28238: [discriminator loss: 0.539777, acc: 0.703125] [adversarial loss: 1.216428, acc: 0.250000] 28239: [discriminator loss: 0.544063, acc: 0.750000] [adversarial loss: 1.279835, acc: 0.234375] 28240: [discriminator loss: 0.457372, acc: 0.796875] [adversarial loss: 1.414643, acc: 0.234375] 28241: [discriminator loss: 0.534023, acc: 0.726562] [adversarial loss: 1.073870, acc: 0.343750] 28242: [discriminator loss: 0.472746, acc: 0.804688] [adversarial loss: 1.357364, acc: 0.187500] 28243: [discriminator loss: 0.521413, acc: 0.765625] [adversarial loss: 0.981662, acc: 0.359375] 28244: [discriminator loss: 0.500191, acc: 0.734375] [adversarial loss: 1.339623, acc: 0.171875] 28245: [discriminator loss: 0.506930, acc: 0.742188] [adversarial loss: 0.781677, acc: 0.500000] 28246: [discriminator loss: 0.531834, acc: 0.687500] [adversarial loss: 1.500989, acc: 0.125000] 28247: [discriminator loss: 0.521461, acc: 0.750000] [adversarial loss: 1.109657, acc: 0.281250] 28248: [discriminator loss: 0.605710, acc: 0.640625] [adversarial loss: 1.486356, acc: 0.125000] 28249: [discriminator loss: 0.512842, acc: 0.726562] [adversarial loss: 1.236706, acc: 0.250000] 28250: [discriminator loss: 0.453504, acc: 0.789062] [adversarial loss: 1.352792, acc: 0.203125] 28251: [discriminator loss: 0.450531, acc: 0.765625] [adversarial loss: 1.725242, acc: 0.078125] 28252: [discriminator loss: 0.438982, acc: 0.781250] [adversarial loss: 1.020587, acc: 0.359375] 28253: [discriminator loss: 0.598561, acc: 0.671875] [adversarial loss: 1.446186, acc: 0.140625] 28254: [discriminator loss: 0.503887, acc: 0.726562] [adversarial loss: 1.003442, acc: 0.343750] 28255: [discriminator loss: 0.543368, acc: 0.726562] [adversarial loss: 1.335461, acc: 0.203125] 28256: [discriminator loss: 0.503134, acc: 0.765625] [adversarial loss: 0.960835, acc: 0.500000] 28257: [discriminator loss: 0.526319, acc: 0.726562] [adversarial loss: 1.457140, acc: 0.203125] 28258: [discriminator loss: 0.545067, acc: 0.726562] [adversarial loss: 1.144688, acc: 0.281250] 28259: [discriminator loss: 0.561711, acc: 0.671875] [adversarial loss: 0.862909, acc: 0.500000] 28260: [discriminator loss: 0.537408, acc: 0.695312] [adversarial loss: 1.331769, acc: 0.250000] 28261: [discriminator loss: 0.516270, acc: 0.687500] [adversarial loss: 0.836214, acc: 0.500000] 28262: [discriminator loss: 0.571284, acc: 0.726562] [adversarial loss: 1.792387, acc: 0.140625] 28263: [discriminator loss: 0.559830, acc: 0.640625] [adversarial loss: 0.769261, acc: 0.500000] 28264: [discriminator loss: 0.579035, acc: 0.695312] [adversarial loss: 1.757382, acc: 0.140625] 28265: [discriminator loss: 0.559720, acc: 0.695312] [adversarial loss: 1.039630, acc: 0.281250] 28266: [discriminator loss: 0.596110, acc: 0.710938] [adversarial loss: 1.380549, acc: 0.203125] 28267: [discriminator loss: 0.504723, acc: 0.750000] [adversarial loss: 1.081598, acc: 0.328125] 28268: [discriminator loss: 0.541419, acc: 0.765625] [adversarial loss: 1.349595, acc: 0.203125] 28269: [discriminator loss: 0.514574, acc: 0.726562] [adversarial loss: 1.066159, acc: 0.406250] 28270: [discriminator loss: 0.536066, acc: 0.757812] [adversarial loss: 1.331127, acc: 0.203125] 28271: [discriminator loss: 0.507714, acc: 0.757812] [adversarial loss: 1.543078, acc: 0.171875] 28272: [discriminator loss: 0.503411, acc: 0.734375] [adversarial loss: 1.085800, acc: 0.312500] 28273: [discriminator loss: 0.478530, acc: 0.789062] [adversarial loss: 1.543673, acc: 0.125000] 28274: [discriminator loss: 0.531779, acc: 0.703125] [adversarial loss: 0.865545, acc: 0.453125] 28275: [discriminator loss: 0.565281, acc: 0.687500] [adversarial loss: 1.567862, acc: 0.093750] 28276: [discriminator loss: 0.520794, acc: 0.742188] [adversarial loss: 0.908998, acc: 0.468750] 28277: [discriminator loss: 0.558728, acc: 0.679688] [adversarial loss: 1.415644, acc: 0.171875] 28278: [discriminator loss: 0.518982, acc: 0.742188] [adversarial loss: 1.267021, acc: 0.250000] 28279: [discriminator loss: 0.576163, acc: 0.671875] [adversarial loss: 1.758257, acc: 0.062500] 28280: [discriminator loss: 0.543933, acc: 0.718750] [adversarial loss: 0.944269, acc: 0.421875] 28281: [discriminator loss: 0.489528, acc: 0.757812] [adversarial loss: 1.467897, acc: 0.234375] 28282: [discriminator loss: 0.490658, acc: 0.726562] [adversarial loss: 1.080748, acc: 0.406250] 28283: [discriminator loss: 0.531387, acc: 0.742188] [adversarial loss: 1.082934, acc: 0.296875] 28284: [discriminator loss: 0.441834, acc: 0.796875] [adversarial loss: 1.475960, acc: 0.250000] 28285: [discriminator loss: 0.473948, acc: 0.765625] [adversarial loss: 1.587093, acc: 0.156250] 28286: [discriminator loss: 0.484956, acc: 0.789062] [adversarial loss: 1.318675, acc: 0.312500] 28287: [discriminator loss: 0.525245, acc: 0.718750] [adversarial loss: 1.256965, acc: 0.265625] 28288: [discriminator loss: 0.512178, acc: 0.765625] [adversarial loss: 1.341799, acc: 0.203125] 28289: [discriminator loss: 0.476896, acc: 0.757812] [adversarial loss: 1.041506, acc: 0.406250] 28290: [discriminator loss: 0.557516, acc: 0.679688] [adversarial loss: 1.645794, acc: 0.171875] 28291: [discriminator loss: 0.555141, acc: 0.687500] [adversarial loss: 0.746714, acc: 0.531250] 28292: [discriminator loss: 0.558693, acc: 0.648438] [adversarial loss: 2.113256, acc: 0.015625] 28293: [discriminator loss: 0.570272, acc: 0.671875] [adversarial loss: 0.842391, acc: 0.484375] 28294: [discriminator loss: 0.534213, acc: 0.757812] [adversarial loss: 1.624588, acc: 0.125000] 28295: [discriminator loss: 0.482629, acc: 0.734375] [adversarial loss: 1.006143, acc: 0.406250] 28296: [discriminator loss: 0.561551, acc: 0.679688] [adversarial loss: 1.489443, acc: 0.125000] 28297: [discriminator loss: 0.548418, acc: 0.734375] [adversarial loss: 1.106936, acc: 0.328125] 28298: [discriminator loss: 0.575969, acc: 0.671875] [adversarial loss: 1.373159, acc: 0.140625] 28299: [discriminator loss: 0.484485, acc: 0.710938] [adversarial loss: 1.361078, acc: 0.140625] 28300: [discriminator loss: 0.498102, acc: 0.757812] [adversarial loss: 1.170174, acc: 0.296875] 28301: [discriminator loss: 0.501590, acc: 0.757812] [adversarial loss: 1.303691, acc: 0.187500] 28302: [discriminator loss: 0.582609, acc: 0.710938] [adversarial loss: 1.067957, acc: 0.343750] 28303: [discriminator loss: 0.493147, acc: 0.710938] [adversarial loss: 1.329504, acc: 0.187500] 28304: [discriminator loss: 0.574333, acc: 0.710938] [adversarial loss: 1.379152, acc: 0.140625] 28305: [discriminator loss: 0.595112, acc: 0.695312] [adversarial loss: 1.247835, acc: 0.156250] 28306: [discriminator loss: 0.567848, acc: 0.695312] [adversarial loss: 1.035121, acc: 0.375000] 28307: [discriminator loss: 0.580319, acc: 0.710938] [adversarial loss: 1.969556, acc: 0.062500] 28308: [discriminator loss: 0.550950, acc: 0.734375] [adversarial loss: 0.721626, acc: 0.593750] 28309: [discriminator loss: 0.567237, acc: 0.664062] [adversarial loss: 1.539637, acc: 0.187500] 28310: [discriminator loss: 0.530850, acc: 0.718750] [adversarial loss: 1.105455, acc: 0.343750] 28311: [discriminator loss: 0.553381, acc: 0.718750] [adversarial loss: 1.022481, acc: 0.390625] 28312: [discriminator loss: 0.613731, acc: 0.648438] [adversarial loss: 1.472306, acc: 0.078125] 28313: [discriminator loss: 0.546230, acc: 0.710938] [adversarial loss: 0.944003, acc: 0.343750] 28314: [discriminator loss: 0.554629, acc: 0.750000] [adversarial loss: 1.243852, acc: 0.234375] 28315: [discriminator loss: 0.543944, acc: 0.710938] [adversarial loss: 1.105375, acc: 0.343750] 28316: [discriminator loss: 0.556735, acc: 0.718750] [adversarial loss: 1.399270, acc: 0.109375] 28317: [discriminator loss: 0.508335, acc: 0.750000] [adversarial loss: 1.135105, acc: 0.265625] 28318: [discriminator loss: 0.546040, acc: 0.718750] [adversarial loss: 1.511370, acc: 0.140625] 28319: [discriminator loss: 0.520713, acc: 0.757812] [adversarial loss: 1.175183, acc: 0.328125] 28320: [discriminator loss: 0.564712, acc: 0.679688] [adversarial loss: 1.606152, acc: 0.156250] 28321: [discriminator loss: 0.517304, acc: 0.734375] [adversarial loss: 0.925571, acc: 0.453125] 28322: [discriminator loss: 0.522101, acc: 0.750000] [adversarial loss: 1.470853, acc: 0.156250] 28323: [discriminator loss: 0.547038, acc: 0.710938] [adversarial loss: 0.879864, acc: 0.484375] 28324: [discriminator loss: 0.566948, acc: 0.703125] [adversarial loss: 1.477785, acc: 0.125000] 28325: [discriminator loss: 0.582313, acc: 0.687500] [adversarial loss: 1.137775, acc: 0.250000] 28326: [discriminator loss: 0.517396, acc: 0.710938] [adversarial loss: 1.218139, acc: 0.218750] 28327: [discriminator loss: 0.552669, acc: 0.703125] [adversarial loss: 0.842735, acc: 0.515625] 28328: [discriminator loss: 0.529693, acc: 0.734375] [adversarial loss: 1.797296, acc: 0.109375] 28329: [discriminator loss: 0.513624, acc: 0.718750] [adversarial loss: 0.785210, acc: 0.531250] 28330: [discriminator loss: 0.560135, acc: 0.687500] [adversarial loss: 1.689269, acc: 0.046875] 28331: [discriminator loss: 0.569686, acc: 0.671875] [adversarial loss: 1.029585, acc: 0.328125] 28332: [discriminator loss: 0.516976, acc: 0.742188] [adversarial loss: 1.480459, acc: 0.156250] 28333: [discriminator loss: 0.579869, acc: 0.687500] [adversarial loss: 0.954427, acc: 0.437500] 28334: [discriminator loss: 0.581199, acc: 0.710938] [adversarial loss: 1.607877, acc: 0.109375] 28335: [discriminator loss: 0.530009, acc: 0.687500] [adversarial loss: 1.011282, acc: 0.375000] 28336: [discriminator loss: 0.531500, acc: 0.679688] [adversarial loss: 1.382612, acc: 0.140625] 28337: [discriminator loss: 0.488933, acc: 0.750000] [adversarial loss: 1.047783, acc: 0.406250] 28338: [discriminator loss: 0.425551, acc: 0.820312] [adversarial loss: 1.264970, acc: 0.203125] 28339: [discriminator loss: 0.562376, acc: 0.656250] [adversarial loss: 1.154046, acc: 0.343750] 28340: [discriminator loss: 0.508526, acc: 0.750000] [adversarial loss: 1.107344, acc: 0.296875] 28341: [discriminator loss: 0.443948, acc: 0.789062] [adversarial loss: 1.405983, acc: 0.125000] 28342: [discriminator loss: 0.474928, acc: 0.757812] [adversarial loss: 1.414216, acc: 0.218750] 28343: [discriminator loss: 0.514249, acc: 0.750000] [adversarial loss: 0.956527, acc: 0.359375] 28344: [discriminator loss: 0.547107, acc: 0.742188] [adversarial loss: 1.460285, acc: 0.125000] 28345: [discriminator loss: 0.533072, acc: 0.718750] [adversarial loss: 0.755031, acc: 0.546875] 28346: [discriminator loss: 0.477423, acc: 0.742188] [adversarial loss: 1.675072, acc: 0.140625] 28347: [discriminator loss: 0.558150, acc: 0.703125] [adversarial loss: 0.876808, acc: 0.453125] 28348: [discriminator loss: 0.551949, acc: 0.695312] [adversarial loss: 1.357151, acc: 0.156250] 28349: [discriminator loss: 0.498353, acc: 0.757812] [adversarial loss: 0.884073, acc: 0.484375] 28350: [discriminator loss: 0.497639, acc: 0.757812] [adversarial loss: 1.011838, acc: 0.343750] 28351: [discriminator loss: 0.483466, acc: 0.765625] [adversarial loss: 1.144664, acc: 0.359375] 28352: [discriminator loss: 0.435972, acc: 0.773438] [adversarial loss: 1.112636, acc: 0.312500] 28353: [discriminator loss: 0.431191, acc: 0.828125] [adversarial loss: 1.111308, acc: 0.328125] 28354: [discriminator loss: 0.563537, acc: 0.718750] [adversarial loss: 0.849647, acc: 0.437500] 28355: [discriminator loss: 0.494629, acc: 0.765625] [adversarial loss: 1.020624, acc: 0.390625] 28356: [discriminator loss: 0.463806, acc: 0.796875] [adversarial loss: 1.055241, acc: 0.328125] 28357: [discriminator loss: 0.474904, acc: 0.789062] [adversarial loss: 1.316552, acc: 0.265625] 28358: [discriminator loss: 0.556199, acc: 0.734375] [adversarial loss: 0.686116, acc: 0.609375] 28359: [discriminator loss: 0.581913, acc: 0.703125] [adversarial loss: 1.587548, acc: 0.062500] 28360: [discriminator loss: 0.540841, acc: 0.710938] [adversarial loss: 0.661064, acc: 0.687500] 28361: [discriminator loss: 0.596174, acc: 0.703125] [adversarial loss: 1.481524, acc: 0.203125] 28362: [discriminator loss: 0.477207, acc: 0.757812] [adversarial loss: 0.787998, acc: 0.609375] 28363: [discriminator loss: 0.551162, acc: 0.695312] [adversarial loss: 1.449870, acc: 0.187500] 28364: [discriminator loss: 0.509924, acc: 0.773438] [adversarial loss: 1.003004, acc: 0.359375] 28365: [discriminator loss: 0.511921, acc: 0.750000] [adversarial loss: 1.291105, acc: 0.296875] 28366: [discriminator loss: 0.508370, acc: 0.734375] [adversarial loss: 1.189059, acc: 0.265625] 28367: [discriminator loss: 0.541485, acc: 0.703125] [adversarial loss: 1.621395, acc: 0.156250] 28368: [discriminator loss: 0.450900, acc: 0.804688] [adversarial loss: 1.218303, acc: 0.250000] 28369: [discriminator loss: 0.545786, acc: 0.734375] [adversarial loss: 1.925706, acc: 0.078125] 28370: [discriminator loss: 0.496080, acc: 0.750000] [adversarial loss: 1.513835, acc: 0.203125] 28371: [discriminator loss: 0.527651, acc: 0.750000] [adversarial loss: 1.722494, acc: 0.062500] 28372: [discriminator loss: 0.408789, acc: 0.804688] [adversarial loss: 1.432612, acc: 0.203125] 28373: [discriminator loss: 0.491998, acc: 0.796875] [adversarial loss: 1.822901, acc: 0.093750] 28374: [discriminator loss: 0.550964, acc: 0.718750] [adversarial loss: 1.285570, acc: 0.250000] 28375: [discriminator loss: 0.430999, acc: 0.796875] [adversarial loss: 1.276959, acc: 0.265625] 28376: [discriminator loss: 0.534086, acc: 0.734375] [adversarial loss: 1.375250, acc: 0.171875] 28377: [discriminator loss: 0.560510, acc: 0.695312] [adversarial loss: 1.425695, acc: 0.218750] 28378: [discriminator loss: 0.545229, acc: 0.703125] [adversarial loss: 1.485962, acc: 0.171875] 28379: [discriminator loss: 0.566570, acc: 0.726562] [adversarial loss: 1.442168, acc: 0.187500] 28380: [discriminator loss: 0.597606, acc: 0.718750] [adversarial loss: 1.163448, acc: 0.312500] 28381: [discriminator loss: 0.512223, acc: 0.687500] [adversarial loss: 1.389734, acc: 0.140625] 28382: [discriminator loss: 0.483485, acc: 0.750000] [adversarial loss: 1.196372, acc: 0.203125] 28383: [discriminator loss: 0.497796, acc: 0.718750] [adversarial loss: 1.191211, acc: 0.218750] 28384: [discriminator loss: 0.521843, acc: 0.750000] [adversarial loss: 1.138469, acc: 0.250000] 28385: [discriminator loss: 0.549673, acc: 0.757812] [adversarial loss: 1.516564, acc: 0.140625] 28386: [discriminator loss: 0.486295, acc: 0.789062] [adversarial loss: 0.864056, acc: 0.500000] 28387: [discriminator loss: 0.634582, acc: 0.656250] [adversarial loss: 2.262426, acc: 0.109375] 28388: [discriminator loss: 0.689626, acc: 0.625000] [adversarial loss: 0.706030, acc: 0.531250] 28389: [discriminator loss: 0.650696, acc: 0.664062] [adversarial loss: 1.703594, acc: 0.078125] 28390: [discriminator loss: 0.579584, acc: 0.710938] [adversarial loss: 1.140622, acc: 0.343750] 28391: [discriminator loss: 0.572348, acc: 0.703125] [adversarial loss: 1.082550, acc: 0.312500] 28392: [discriminator loss: 0.471070, acc: 0.773438] [adversarial loss: 1.232051, acc: 0.218750] 28393: [discriminator loss: 0.556937, acc: 0.710938] [adversarial loss: 0.971269, acc: 0.296875] 28394: [discriminator loss: 0.518811, acc: 0.703125] [adversarial loss: 1.345009, acc: 0.234375] 28395: [discriminator loss: 0.528789, acc: 0.742188] [adversarial loss: 1.128884, acc: 0.265625] 28396: [discriminator loss: 0.557869, acc: 0.703125] [adversarial loss: 1.324690, acc: 0.203125] 28397: [discriminator loss: 0.507059, acc: 0.750000] [adversarial loss: 1.023256, acc: 0.343750] 28398: [discriminator loss: 0.517609, acc: 0.703125] [adversarial loss: 1.573223, acc: 0.109375] 28399: [discriminator loss: 0.500974, acc: 0.757812] [adversarial loss: 0.995020, acc: 0.390625] 28400: [discriminator loss: 0.503094, acc: 0.781250] [adversarial loss: 1.199389, acc: 0.234375] 28401: [discriminator loss: 0.505585, acc: 0.812500] [adversarial loss: 0.981831, acc: 0.328125] 28402: [discriminator loss: 0.459508, acc: 0.781250] [adversarial loss: 1.525745, acc: 0.203125] 28403: [discriminator loss: 0.634205, acc: 0.687500] [adversarial loss: 1.196742, acc: 0.281250] 28404: [discriminator loss: 0.564946, acc: 0.671875] [adversarial loss: 1.323850, acc: 0.187500] 28405: [discriminator loss: 0.575508, acc: 0.703125] [adversarial loss: 1.192547, acc: 0.281250] 28406: [discriminator loss: 0.463149, acc: 0.789062] [adversarial loss: 1.455199, acc: 0.265625] 28407: [discriminator loss: 0.572809, acc: 0.656250] [adversarial loss: 0.827761, acc: 0.484375] 28408: [discriminator loss: 0.573176, acc: 0.664062] [adversarial loss: 1.725672, acc: 0.062500] 28409: [discriminator loss: 0.597927, acc: 0.687500] [adversarial loss: 0.901051, acc: 0.421875] 28410: [discriminator loss: 0.529933, acc: 0.742188] [adversarial loss: 1.867097, acc: 0.093750] 28411: [discriminator loss: 0.555846, acc: 0.695312] [adversarial loss: 0.830617, acc: 0.453125] 28412: [discriminator loss: 0.530399, acc: 0.718750] [adversarial loss: 1.481966, acc: 0.078125] 28413: [discriminator loss: 0.540255, acc: 0.718750] [adversarial loss: 0.957955, acc: 0.421875] 28414: [discriminator loss: 0.579626, acc: 0.703125] [adversarial loss: 1.637074, acc: 0.125000] 28415: [discriminator loss: 0.514775, acc: 0.734375] [adversarial loss: 1.106055, acc: 0.296875] 28416: [discriminator loss: 0.560100, acc: 0.703125] [adversarial loss: 1.327229, acc: 0.156250] 28417: [discriminator loss: 0.493015, acc: 0.765625] [adversarial loss: 1.032745, acc: 0.421875] 28418: [discriminator loss: 0.508089, acc: 0.773438] [adversarial loss: 1.602005, acc: 0.046875] 28419: [discriminator loss: 0.560703, acc: 0.703125] [adversarial loss: 0.947411, acc: 0.437500] 28420: [discriminator loss: 0.514339, acc: 0.773438] [adversarial loss: 1.518663, acc: 0.171875] 28421: [discriminator loss: 0.461090, acc: 0.796875] [adversarial loss: 1.242442, acc: 0.203125] 28422: [discriminator loss: 0.475947, acc: 0.773438] [adversarial loss: 1.113062, acc: 0.343750] 28423: [discriminator loss: 0.597914, acc: 0.695312] [adversarial loss: 0.941097, acc: 0.453125] 28424: [discriminator loss: 0.530481, acc: 0.671875] [adversarial loss: 1.315359, acc: 0.296875] 28425: [discriminator loss: 0.541247, acc: 0.703125] [adversarial loss: 0.809137, acc: 0.578125] 28426: [discriminator loss: 0.588950, acc: 0.718750] [adversarial loss: 1.439323, acc: 0.109375] 28427: [discriminator loss: 0.561385, acc: 0.695312] [adversarial loss: 0.772913, acc: 0.578125] 28428: [discriminator loss: 0.502761, acc: 0.757812] [adversarial loss: 1.241437, acc: 0.203125] 28429: [discriminator loss: 0.485630, acc: 0.757812] [adversarial loss: 0.959566, acc: 0.359375] 28430: [discriminator loss: 0.474370, acc: 0.781250] [adversarial loss: 1.033169, acc: 0.375000] 28431: [discriminator loss: 0.484121, acc: 0.789062] [adversarial loss: 1.048179, acc: 0.312500] 28432: [discriminator loss: 0.496708, acc: 0.765625] [adversarial loss: 0.770519, acc: 0.500000] 28433: [discriminator loss: 0.523562, acc: 0.773438] [adversarial loss: 1.374043, acc: 0.265625] 28434: [discriminator loss: 0.585389, acc: 0.710938] [adversarial loss: 1.126885, acc: 0.343750] 28435: [discriminator loss: 0.383845, acc: 0.867188] [adversarial loss: 1.107343, acc: 0.359375] 28436: [discriminator loss: 0.504797, acc: 0.734375] [adversarial loss: 1.167840, acc: 0.328125] 28437: [discriminator loss: 0.478776, acc: 0.750000] [adversarial loss: 1.012695, acc: 0.343750] 28438: [discriminator loss: 0.546579, acc: 0.726562] [adversarial loss: 1.239755, acc: 0.250000] 28439: [discriminator loss: 0.573136, acc: 0.687500] [adversarial loss: 1.146204, acc: 0.343750] 28440: [discriminator loss: 0.506600, acc: 0.757812] [adversarial loss: 1.050321, acc: 0.343750] 28441: [discriminator loss: 0.494839, acc: 0.781250] [adversarial loss: 1.038503, acc: 0.375000] 28442: [discriminator loss: 0.584602, acc: 0.687500] [adversarial loss: 1.395340, acc: 0.156250] 28443: [discriminator loss: 0.581561, acc: 0.640625] [adversarial loss: 0.859239, acc: 0.500000] 28444: [discriminator loss: 0.529705, acc: 0.726562] [adversarial loss: 1.348983, acc: 0.140625] 28445: [discriminator loss: 0.508598, acc: 0.695312] [adversarial loss: 1.316805, acc: 0.203125] 28446: [discriminator loss: 0.458272, acc: 0.789062] [adversarial loss: 1.169948, acc: 0.296875] 28447: [discriminator loss: 0.504060, acc: 0.757812] [adversarial loss: 1.403760, acc: 0.171875] 28448: [discriminator loss: 0.494013, acc: 0.765625] [adversarial loss: 1.284551, acc: 0.203125] 28449: [discriminator loss: 0.526243, acc: 0.742188] [adversarial loss: 1.185822, acc: 0.234375] 28450: [discriminator loss: 0.412733, acc: 0.835938] [adversarial loss: 0.847586, acc: 0.500000] 28451: [discriminator loss: 0.595473, acc: 0.703125] [adversarial loss: 2.030477, acc: 0.015625] 28452: [discriminator loss: 0.637313, acc: 0.632812] [adversarial loss: 0.651588, acc: 0.671875] 28453: [discriminator loss: 0.621958, acc: 0.632812] [adversarial loss: 1.720914, acc: 0.093750] 28454: [discriminator loss: 0.545331, acc: 0.718750] [adversarial loss: 0.966921, acc: 0.453125] 28455: [discriminator loss: 0.466332, acc: 0.804688] [adversarial loss: 1.451614, acc: 0.093750] 28456: [discriminator loss: 0.482202, acc: 0.750000] [adversarial loss: 1.241714, acc: 0.234375] 28457: [discriminator loss: 0.507663, acc: 0.757812] [adversarial loss: 1.201470, acc: 0.234375] 28458: [discriminator loss: 0.509233, acc: 0.765625] [adversarial loss: 1.381067, acc: 0.250000] 28459: [discriminator loss: 0.521512, acc: 0.765625] [adversarial loss: 1.112776, acc: 0.312500] 28460: [discriminator loss: 0.517038, acc: 0.726562] [adversarial loss: 1.466815, acc: 0.203125] 28461: [discriminator loss: 0.536850, acc: 0.718750] [adversarial loss: 0.923013, acc: 0.406250] 28462: [discriminator loss: 0.503276, acc: 0.765625] [adversarial loss: 1.454977, acc: 0.140625] 28463: [discriminator loss: 0.466724, acc: 0.757812] [adversarial loss: 1.005719, acc: 0.406250] 28464: [discriminator loss: 0.540676, acc: 0.726562] [adversarial loss: 1.507327, acc: 0.203125] 28465: [discriminator loss: 0.572597, acc: 0.742188] [adversarial loss: 0.893283, acc: 0.390625] 28466: [discriminator loss: 0.567489, acc: 0.679688] [adversarial loss: 1.520829, acc: 0.171875] 28467: [discriminator loss: 0.590303, acc: 0.679688] [adversarial loss: 0.861448, acc: 0.421875] 28468: [discriminator loss: 0.523031, acc: 0.742188] [adversarial loss: 1.587003, acc: 0.187500] 28469: [discriminator loss: 0.552177, acc: 0.703125] [adversarial loss: 0.918620, acc: 0.359375] 28470: [discriminator loss: 0.546526, acc: 0.734375] [adversarial loss: 1.155246, acc: 0.281250] 28471: [discriminator loss: 0.497724, acc: 0.742188] [adversarial loss: 1.365717, acc: 0.234375] 28472: [discriminator loss: 0.489061, acc: 0.750000] [adversarial loss: 0.900361, acc: 0.390625] 28473: [discriminator loss: 0.605378, acc: 0.710938] [adversarial loss: 1.479590, acc: 0.218750] 28474: [discriminator loss: 0.537949, acc: 0.750000] [adversarial loss: 1.015243, acc: 0.421875] 28475: [discriminator loss: 0.499692, acc: 0.773438] [adversarial loss: 1.102241, acc: 0.359375] 28476: [discriminator loss: 0.494696, acc: 0.734375] [adversarial loss: 1.246431, acc: 0.328125] 28477: [discriminator loss: 0.438510, acc: 0.804688] [adversarial loss: 0.865180, acc: 0.515625] 28478: [discriminator loss: 0.464381, acc: 0.773438] [adversarial loss: 1.057733, acc: 0.375000] 28479: [discriminator loss: 0.520599, acc: 0.726562] [adversarial loss: 1.492826, acc: 0.187500] 28480: [discriminator loss: 0.485715, acc: 0.757812] [adversarial loss: 0.862167, acc: 0.421875] 28481: [discriminator loss: 0.423194, acc: 0.812500] [adversarial loss: 1.329222, acc: 0.140625] 28482: [discriminator loss: 0.538559, acc: 0.710938] [adversarial loss: 0.636790, acc: 0.593750] 28483: [discriminator loss: 0.578950, acc: 0.687500] [adversarial loss: 1.666582, acc: 0.171875] 28484: [discriminator loss: 0.567143, acc: 0.695312] [adversarial loss: 0.770189, acc: 0.546875] 28485: [discriminator loss: 0.592844, acc: 0.718750] [adversarial loss: 1.657083, acc: 0.140625] 28486: [discriminator loss: 0.611469, acc: 0.679688] [adversarial loss: 1.010367, acc: 0.406250] 28487: [discriminator loss: 0.550173, acc: 0.726562] [adversarial loss: 1.380806, acc: 0.187500] 28488: [discriminator loss: 0.607034, acc: 0.648438] [adversarial loss: 0.915965, acc: 0.453125] 28489: [discriminator loss: 0.524353, acc: 0.734375] [adversarial loss: 1.324044, acc: 0.281250] 28490: [discriminator loss: 0.542722, acc: 0.734375] [adversarial loss: 1.436327, acc: 0.109375] 28491: [discriminator loss: 0.432727, acc: 0.804688] [adversarial loss: 1.335683, acc: 0.265625] 28492: [discriminator loss: 0.516705, acc: 0.757812] [adversarial loss: 1.263007, acc: 0.234375] 28493: [discriminator loss: 0.512835, acc: 0.726562] [adversarial loss: 0.980180, acc: 0.406250] 28494: [discriminator loss: 0.504485, acc: 0.710938] [adversarial loss: 1.350167, acc: 0.265625] 28495: [discriminator loss: 0.479782, acc: 0.765625] [adversarial loss: 0.877524, acc: 0.515625] 28496: [discriminator loss: 0.542986, acc: 0.742188] [adversarial loss: 1.522971, acc: 0.109375] 28497: [discriminator loss: 0.491682, acc: 0.687500] [adversarial loss: 0.924281, acc: 0.531250] 28498: [discriminator loss: 0.480802, acc: 0.765625] [adversarial loss: 1.375824, acc: 0.265625] 28499: [discriminator loss: 0.483684, acc: 0.726562] [adversarial loss: 0.740573, acc: 0.531250] 28500: [discriminator loss: 0.588358, acc: 0.679688] [adversarial loss: 1.682940, acc: 0.109375] 28501: [discriminator loss: 0.499094, acc: 0.734375] [adversarial loss: 0.997869, acc: 0.484375] 28502: [discriminator loss: 0.466508, acc: 0.804688] [adversarial loss: 1.499515, acc: 0.250000] 28503: [discriminator loss: 0.412424, acc: 0.843750] [adversarial loss: 1.062342, acc: 0.375000] 28504: [discriminator loss: 0.570462, acc: 0.671875] [adversarial loss: 1.514351, acc: 0.234375] 28505: [discriminator loss: 0.459902, acc: 0.789062] [adversarial loss: 0.934244, acc: 0.453125] 28506: [discriminator loss: 0.457677, acc: 0.789062] [adversarial loss: 1.603841, acc: 0.156250] 28507: [discriminator loss: 0.433359, acc: 0.796875] [adversarial loss: 1.091021, acc: 0.390625] 28508: [discriminator loss: 0.448024, acc: 0.804688] [adversarial loss: 1.271490, acc: 0.234375] 28509: [discriminator loss: 0.468958, acc: 0.765625] [adversarial loss: 1.042197, acc: 0.375000] 28510: [discriminator loss: 0.549576, acc: 0.726562] [adversarial loss: 1.607911, acc: 0.125000] 28511: [discriminator loss: 0.507616, acc: 0.742188] [adversarial loss: 0.824089, acc: 0.562500] 28512: [discriminator loss: 0.549224, acc: 0.734375] [adversarial loss: 1.647242, acc: 0.218750] 28513: [discriminator loss: 0.606725, acc: 0.679688] [adversarial loss: 0.746203, acc: 0.593750] 28514: [discriminator loss: 0.567997, acc: 0.695312] [adversarial loss: 1.899437, acc: 0.031250] 28515: [discriminator loss: 0.552326, acc: 0.695312] [adversarial loss: 1.013704, acc: 0.375000] 28516: [discriminator loss: 0.585541, acc: 0.750000] [adversarial loss: 1.653238, acc: 0.093750] 28517: [discriminator loss: 0.536255, acc: 0.710938] [adversarial loss: 1.071409, acc: 0.312500] 28518: [discriminator loss: 0.539795, acc: 0.710938] [adversarial loss: 1.354344, acc: 0.187500] 28519: [discriminator loss: 0.579457, acc: 0.648438] [adversarial loss: 1.417151, acc: 0.171875] 28520: [discriminator loss: 0.496370, acc: 0.726562] [adversarial loss: 1.189318, acc: 0.390625] 28521: [discriminator loss: 0.521808, acc: 0.734375] [adversarial loss: 1.246150, acc: 0.218750] 28522: [discriminator loss: 0.446384, acc: 0.789062] [adversarial loss: 1.502849, acc: 0.218750] 28523: [discriminator loss: 0.429421, acc: 0.789062] [adversarial loss: 1.344353, acc: 0.187500] 28524: [discriminator loss: 0.520023, acc: 0.726562] [adversarial loss: 1.073824, acc: 0.312500] 28525: [discriminator loss: 0.460474, acc: 0.781250] [adversarial loss: 1.427624, acc: 0.281250] 28526: [discriminator loss: 0.481926, acc: 0.726562] [adversarial loss: 0.908977, acc: 0.421875] 28527: [discriminator loss: 0.484096, acc: 0.781250] [adversarial loss: 1.831267, acc: 0.078125] 28528: [discriminator loss: 0.557110, acc: 0.718750] [adversarial loss: 1.045657, acc: 0.281250] 28529: [discriminator loss: 0.582387, acc: 0.687500] [adversarial loss: 1.723108, acc: 0.140625] 28530: [discriminator loss: 0.552371, acc: 0.679688] [adversarial loss: 0.791472, acc: 0.546875] 28531: [discriminator loss: 0.566505, acc: 0.726562] [adversarial loss: 1.620978, acc: 0.093750] 28532: [discriminator loss: 0.563379, acc: 0.687500] [adversarial loss: 0.975930, acc: 0.406250] 28533: [discriminator loss: 0.563448, acc: 0.703125] [adversarial loss: 1.971377, acc: 0.093750] 28534: [discriminator loss: 0.609443, acc: 0.710938] [adversarial loss: 0.821664, acc: 0.500000] 28535: [discriminator loss: 0.547446, acc: 0.734375] [adversarial loss: 1.348203, acc: 0.203125] 28536: [discriminator loss: 0.494933, acc: 0.750000] [adversarial loss: 1.153082, acc: 0.281250] 28537: [discriminator loss: 0.483638, acc: 0.757812] [adversarial loss: 1.510907, acc: 0.171875] 28538: [discriminator loss: 0.513417, acc: 0.750000] [adversarial loss: 0.907099, acc: 0.453125] 28539: [discriminator loss: 0.522007, acc: 0.742188] [adversarial loss: 1.447536, acc: 0.187500] 28540: [discriminator loss: 0.552471, acc: 0.710938] [adversarial loss: 1.305412, acc: 0.250000] 28541: [discriminator loss: 0.580207, acc: 0.710938] [adversarial loss: 1.505731, acc: 0.171875] 28542: [discriminator loss: 0.558214, acc: 0.742188] [adversarial loss: 1.065626, acc: 0.453125] 28543: [discriminator loss: 0.533182, acc: 0.710938] [adversarial loss: 1.305381, acc: 0.203125] 28544: [discriminator loss: 0.477476, acc: 0.757812] [adversarial loss: 1.135463, acc: 0.359375] 28545: [discriminator loss: 0.470076, acc: 0.765625] [adversarial loss: 1.411229, acc: 0.203125] 28546: [discriminator loss: 0.575842, acc: 0.664062] [adversarial loss: 1.211044, acc: 0.187500] 28547: [discriminator loss: 0.578627, acc: 0.679688] [adversarial loss: 1.681097, acc: 0.093750] 28548: [discriminator loss: 0.441748, acc: 0.835938] [adversarial loss: 1.098017, acc: 0.312500] 28549: [discriminator loss: 0.527960, acc: 0.734375] [adversarial loss: 1.725271, acc: 0.046875] 28550: [discriminator loss: 0.510193, acc: 0.718750] [adversarial loss: 1.015722, acc: 0.375000] 28551: [discriminator loss: 0.607054, acc: 0.750000] [adversarial loss: 1.664672, acc: 0.093750] 28552: [discriminator loss: 0.562286, acc: 0.710938] [adversarial loss: 1.086652, acc: 0.375000] 28553: [discriminator loss: 0.570000, acc: 0.757812] [adversarial loss: 1.587913, acc: 0.140625] 28554: [discriminator loss: 0.595215, acc: 0.656250] [adversarial loss: 1.134147, acc: 0.296875] 28555: [discriminator loss: 0.446977, acc: 0.773438] [adversarial loss: 1.375471, acc: 0.234375] 28556: [discriminator loss: 0.513437, acc: 0.742188] [adversarial loss: 0.895090, acc: 0.437500] 28557: [discriminator loss: 0.586797, acc: 0.679688] [adversarial loss: 1.750775, acc: 0.062500] 28558: [discriminator loss: 0.606526, acc: 0.664062] [adversarial loss: 0.796564, acc: 0.546875] 28559: [discriminator loss: 0.555755, acc: 0.718750] [adversarial loss: 1.538803, acc: 0.140625] 28560: [discriminator loss: 0.549148, acc: 0.710938] [adversarial loss: 0.739119, acc: 0.562500] 28561: [discriminator loss: 0.509450, acc: 0.710938] [adversarial loss: 1.501625, acc: 0.140625] 28562: [discriminator loss: 0.548949, acc: 0.710938] [adversarial loss: 1.087152, acc: 0.296875] 28563: [discriminator loss: 0.521100, acc: 0.695312] [adversarial loss: 1.257453, acc: 0.218750] 28564: [discriminator loss: 0.518687, acc: 0.750000] [adversarial loss: 0.970322, acc: 0.375000] 28565: [discriminator loss: 0.451133, acc: 0.781250] [adversarial loss: 1.554185, acc: 0.171875] 28566: [discriminator loss: 0.564789, acc: 0.742188] [adversarial loss: 1.277596, acc: 0.218750] 28567: [discriminator loss: 0.518591, acc: 0.742188] [adversarial loss: 1.130643, acc: 0.281250] 28568: [discriminator loss: 0.535299, acc: 0.734375] [adversarial loss: 1.401155, acc: 0.171875] 28569: [discriminator loss: 0.519958, acc: 0.757812] [adversarial loss: 0.900405, acc: 0.500000] 28570: [discriminator loss: 0.501289, acc: 0.750000] [adversarial loss: 1.343490, acc: 0.234375] 28571: [discriminator loss: 0.561857, acc: 0.742188] [adversarial loss: 1.120766, acc: 0.234375] 28572: [discriminator loss: 0.453936, acc: 0.812500] [adversarial loss: 1.117777, acc: 0.234375] 28573: [discriminator loss: 0.473492, acc: 0.742188] [adversarial loss: 1.291203, acc: 0.281250] 28574: [discriminator loss: 0.501330, acc: 0.742188] [adversarial loss: 1.286974, acc: 0.250000] 28575: [discriminator loss: 0.510070, acc: 0.734375] [adversarial loss: 1.578499, acc: 0.109375] 28576: [discriminator loss: 0.466297, acc: 0.781250] [adversarial loss: 0.975601, acc: 0.437500] 28577: [discriminator loss: 0.545319, acc: 0.750000] [adversarial loss: 1.360886, acc: 0.234375] 28578: [discriminator loss: 0.581953, acc: 0.695312] [adversarial loss: 1.388512, acc: 0.250000] 28579: [discriminator loss: 0.511849, acc: 0.726562] [adversarial loss: 1.242859, acc: 0.250000] 28580: [discriminator loss: 0.522159, acc: 0.726562] [adversarial loss: 1.851101, acc: 0.156250] 28581: [discriminator loss: 0.623487, acc: 0.656250] [adversarial loss: 0.757318, acc: 0.546875] 28582: [discriminator loss: 0.569454, acc: 0.687500] [adversarial loss: 1.838317, acc: 0.046875] 28583: [discriminator loss: 0.604785, acc: 0.656250] [adversarial loss: 0.807833, acc: 0.515625] 28584: [discriminator loss: 0.591167, acc: 0.664062] [adversarial loss: 1.940807, acc: 0.031250] 28585: [discriminator loss: 0.589783, acc: 0.664062] [adversarial loss: 0.975750, acc: 0.328125] 28586: [discriminator loss: 0.631503, acc: 0.695312] [adversarial loss: 1.698272, acc: 0.156250] 28587: [discriminator loss: 0.494020, acc: 0.734375] [adversarial loss: 1.148348, acc: 0.265625] 28588: [discriminator loss: 0.521750, acc: 0.710938] [adversarial loss: 1.363572, acc: 0.265625] 28589: [discriminator loss: 0.530909, acc: 0.726562] [adversarial loss: 1.476160, acc: 0.156250] 28590: [discriminator loss: 0.396905, acc: 0.828125] [adversarial loss: 1.167319, acc: 0.250000] 28591: [discriminator loss: 0.494393, acc: 0.742188] [adversarial loss: 0.895010, acc: 0.531250] 28592: [discriminator loss: 0.563897, acc: 0.742188] [adversarial loss: 1.214320, acc: 0.296875] 28593: [discriminator loss: 0.475898, acc: 0.773438] [adversarial loss: 0.815610, acc: 0.453125] 28594: [discriminator loss: 0.587141, acc: 0.687500] [adversarial loss: 1.702673, acc: 0.125000] 28595: [discriminator loss: 0.498983, acc: 0.750000] [adversarial loss: 1.083925, acc: 0.343750] 28596: [discriminator loss: 0.492940, acc: 0.765625] [adversarial loss: 1.307028, acc: 0.312500] 28597: [discriminator loss: 0.583210, acc: 0.695312] [adversarial loss: 0.769736, acc: 0.578125] 28598: [discriminator loss: 0.543364, acc: 0.718750] [adversarial loss: 1.667928, acc: 0.093750] 28599: [discriminator loss: 0.598158, acc: 0.695312] [adversarial loss: 0.909066, acc: 0.515625] 28600: [discriminator loss: 0.573205, acc: 0.695312] [adversarial loss: 1.406991, acc: 0.187500] 28601: [discriminator loss: 0.636282, acc: 0.679688] [adversarial loss: 1.329685, acc: 0.265625] 28602: [discriminator loss: 0.532406, acc: 0.750000] [adversarial loss: 1.349053, acc: 0.203125] 28603: [discriminator loss: 0.550019, acc: 0.734375] [adversarial loss: 1.180339, acc: 0.296875] 28604: [discriminator loss: 0.533287, acc: 0.757812] [adversarial loss: 1.127909, acc: 0.312500] 28605: [discriminator loss: 0.565844, acc: 0.710938] [adversarial loss: 1.548239, acc: 0.140625] 28606: [discriminator loss: 0.500060, acc: 0.757812] [adversarial loss: 0.941779, acc: 0.484375] 28607: [discriminator loss: 0.577618, acc: 0.695312] [adversarial loss: 1.452040, acc: 0.171875] 28608: [discriminator loss: 0.497054, acc: 0.750000] [adversarial loss: 0.930465, acc: 0.406250] 28609: [discriminator loss: 0.494324, acc: 0.750000] [adversarial loss: 1.416090, acc: 0.171875] 28610: [discriminator loss: 0.489035, acc: 0.734375] [adversarial loss: 1.345900, acc: 0.265625] 28611: [discriminator loss: 0.487464, acc: 0.750000] [adversarial loss: 0.990227, acc: 0.296875] 28612: [discriminator loss: 0.564514, acc: 0.687500] [adversarial loss: 1.277519, acc: 0.250000] 28613: [discriminator loss: 0.495438, acc: 0.742188] [adversarial loss: 1.070097, acc: 0.343750] 28614: [discriminator loss: 0.499673, acc: 0.726562] [adversarial loss: 1.233577, acc: 0.312500] 28615: [discriminator loss: 0.554749, acc: 0.750000] [adversarial loss: 1.308890, acc: 0.156250] 28616: [discriminator loss: 0.476924, acc: 0.804688] [adversarial loss: 1.279327, acc: 0.234375] 28617: [discriminator loss: 0.575667, acc: 0.648438] [adversarial loss: 1.012252, acc: 0.390625] 28618: [discriminator loss: 0.566799, acc: 0.671875] [adversarial loss: 1.809432, acc: 0.078125] 28619: [discriminator loss: 0.594333, acc: 0.671875] [adversarial loss: 0.855291, acc: 0.437500] 28620: [discriminator loss: 0.582370, acc: 0.687500] [adversarial loss: 1.794215, acc: 0.078125] 28621: [discriminator loss: 0.543010, acc: 0.703125] [adversarial loss: 0.988859, acc: 0.375000] 28622: [discriminator loss: 0.574079, acc: 0.710938] [adversarial loss: 1.378896, acc: 0.171875] 28623: [discriminator loss: 0.514101, acc: 0.757812] [adversarial loss: 1.070246, acc: 0.328125] 28624: [discriminator loss: 0.484387, acc: 0.734375] [adversarial loss: 1.260023, acc: 0.265625] 28625: [discriminator loss: 0.516939, acc: 0.750000] [adversarial loss: 0.874782, acc: 0.406250] 28626: [discriminator loss: 0.544013, acc: 0.742188] [adversarial loss: 1.568932, acc: 0.125000] 28627: [discriminator loss: 0.565373, acc: 0.687500] [adversarial loss: 0.856546, acc: 0.515625] 28628: [discriminator loss: 0.617798, acc: 0.640625] [adversarial loss: 1.534184, acc: 0.156250] 28629: [discriminator loss: 0.546820, acc: 0.718750] [adversarial loss: 1.114678, acc: 0.328125] 28630: [discriminator loss: 0.556436, acc: 0.734375] [adversarial loss: 1.248903, acc: 0.234375] 28631: [discriminator loss: 0.532699, acc: 0.757812] [adversarial loss: 1.470448, acc: 0.203125] 28632: [discriminator loss: 0.467153, acc: 0.734375] [adversarial loss: 1.218631, acc: 0.296875] 28633: [discriminator loss: 0.534584, acc: 0.734375] [adversarial loss: 1.247631, acc: 0.281250] 28634: [discriminator loss: 0.463336, acc: 0.812500] [adversarial loss: 1.108511, acc: 0.343750] 28635: [discriminator loss: 0.545947, acc: 0.718750] [adversarial loss: 1.468883, acc: 0.171875] 28636: [discriminator loss: 0.538592, acc: 0.726562] [adversarial loss: 1.054269, acc: 0.281250] 28637: [discriminator loss: 0.590934, acc: 0.695312] [adversarial loss: 1.675609, acc: 0.125000] 28638: [discriminator loss: 0.531651, acc: 0.718750] [adversarial loss: 0.969055, acc: 0.421875] 28639: [discriminator loss: 0.467339, acc: 0.773438] [adversarial loss: 1.617770, acc: 0.171875] 28640: [discriminator loss: 0.576951, acc: 0.703125] [adversarial loss: 0.826310, acc: 0.421875] 28641: [discriminator loss: 0.440556, acc: 0.804688] [adversarial loss: 1.692662, acc: 0.125000] 28642: [discriminator loss: 0.582635, acc: 0.687500] [adversarial loss: 1.377301, acc: 0.187500] 28643: [discriminator loss: 0.501942, acc: 0.734375] [adversarial loss: 1.154633, acc: 0.296875] 28644: [discriminator loss: 0.599770, acc: 0.726562] [adversarial loss: 1.727480, acc: 0.062500] 28645: [discriminator loss: 0.499487, acc: 0.750000] [adversarial loss: 0.858172, acc: 0.500000] 28646: [discriminator loss: 0.548443, acc: 0.718750] [adversarial loss: 1.444456, acc: 0.203125] 28647: [discriminator loss: 0.458112, acc: 0.773438] [adversarial loss: 1.093908, acc: 0.296875] 28648: [discriminator loss: 0.456863, acc: 0.773438] [adversarial loss: 1.555587, acc: 0.187500] 28649: [discriminator loss: 0.530763, acc: 0.687500] [adversarial loss: 0.718363, acc: 0.562500] 28650: [discriminator loss: 0.545288, acc: 0.734375] [adversarial loss: 1.396243, acc: 0.171875] 28651: [discriminator loss: 0.491127, acc: 0.757812] [adversarial loss: 0.968749, acc: 0.453125] 28652: [discriminator loss: 0.585942, acc: 0.718750] [adversarial loss: 1.429833, acc: 0.156250] 28653: [discriminator loss: 0.542195, acc: 0.703125] [adversarial loss: 0.952506, acc: 0.421875] 28654: [discriminator loss: 0.472024, acc: 0.796875] [adversarial loss: 1.337986, acc: 0.218750] 28655: [discriminator loss: 0.533457, acc: 0.726562] [adversarial loss: 0.638776, acc: 0.656250] 28656: [discriminator loss: 0.626907, acc: 0.679688] [adversarial loss: 1.166139, acc: 0.218750] 28657: [discriminator loss: 0.517819, acc: 0.687500] [adversarial loss: 0.869732, acc: 0.437500] 28658: [discriminator loss: 0.446086, acc: 0.765625] [adversarial loss: 0.941292, acc: 0.421875] 28659: [discriminator loss: 0.566701, acc: 0.718750] [adversarial loss: 1.091145, acc: 0.359375] 28660: [discriminator loss: 0.499526, acc: 0.773438] [adversarial loss: 1.278763, acc: 0.109375] 28661: [discriminator loss: 0.513433, acc: 0.726562] [adversarial loss: 1.088355, acc: 0.296875] 28662: [discriminator loss: 0.535403, acc: 0.773438] [adversarial loss: 1.708094, acc: 0.109375] 28663: [discriminator loss: 0.510236, acc: 0.781250] [adversarial loss: 1.312275, acc: 0.218750] 28664: [discriminator loss: 0.531312, acc: 0.757812] [adversarial loss: 1.465778, acc: 0.171875] 28665: [discriminator loss: 0.448871, acc: 0.750000] [adversarial loss: 1.223146, acc: 0.328125] 28666: [discriminator loss: 0.533010, acc: 0.750000] [adversarial loss: 1.609891, acc: 0.187500] 28667: [discriminator loss: 0.596039, acc: 0.695312] [adversarial loss: 1.055095, acc: 0.296875] 28668: [discriminator loss: 0.492476, acc: 0.773438] [adversarial loss: 1.441049, acc: 0.265625] 28669: [discriminator loss: 0.557524, acc: 0.734375] [adversarial loss: 1.175709, acc: 0.328125] 28670: [discriminator loss: 0.527698, acc: 0.742188] [adversarial loss: 1.590694, acc: 0.156250] 28671: [discriminator loss: 0.572117, acc: 0.726562] [adversarial loss: 0.865073, acc: 0.515625] 28672: [discriminator loss: 0.576155, acc: 0.687500] [adversarial loss: 1.577366, acc: 0.156250] 28673: [discriminator loss: 0.533174, acc: 0.726562] [adversarial loss: 0.922190, acc: 0.375000] 28674: [discriminator loss: 0.488007, acc: 0.750000] [adversarial loss: 1.359193, acc: 0.218750] 28675: [discriminator loss: 0.537135, acc: 0.687500] [adversarial loss: 1.257744, acc: 0.250000] 28676: [discriminator loss: 0.505292, acc: 0.734375] [adversarial loss: 1.232506, acc: 0.296875] 28677: [discriminator loss: 0.553207, acc: 0.718750] [adversarial loss: 1.095620, acc: 0.390625] 28678: [discriminator loss: 0.535024, acc: 0.703125] [adversarial loss: 1.489058, acc: 0.156250] 28679: [discriminator loss: 0.569442, acc: 0.695312] [adversarial loss: 1.066324, acc: 0.343750] 28680: [discriminator loss: 0.576944, acc: 0.710938] [adversarial loss: 1.634897, acc: 0.078125] 28681: [discriminator loss: 0.580710, acc: 0.671875] [adversarial loss: 0.811209, acc: 0.531250] 28682: [discriminator loss: 0.557686, acc: 0.718750] [adversarial loss: 1.675001, acc: 0.031250] 28683: [discriminator loss: 0.480258, acc: 0.781250] [adversarial loss: 0.832586, acc: 0.484375] 28684: [discriminator loss: 0.556806, acc: 0.703125] [adversarial loss: 1.492953, acc: 0.156250] 28685: [discriminator loss: 0.498562, acc: 0.765625] [adversarial loss: 1.264838, acc: 0.312500] 28686: [discriminator loss: 0.523808, acc: 0.734375] [adversarial loss: 1.251641, acc: 0.125000] 28687: [discriminator loss: 0.523607, acc: 0.742188] [adversarial loss: 1.134006, acc: 0.296875] 28688: [discriminator loss: 0.514466, acc: 0.687500] [adversarial loss: 1.314961, acc: 0.281250] 28689: [discriminator loss: 0.543787, acc: 0.710938] [adversarial loss: 0.963428, acc: 0.421875] 28690: [discriminator loss: 0.499944, acc: 0.773438] [adversarial loss: 1.525024, acc: 0.140625] 28691: [discriminator loss: 0.536803, acc: 0.734375] [adversarial loss: 1.161063, acc: 0.281250] 28692: [discriminator loss: 0.473626, acc: 0.765625] [adversarial loss: 1.638339, acc: 0.156250] 28693: [discriminator loss: 0.549597, acc: 0.687500] [adversarial loss: 0.868516, acc: 0.453125] 28694: [discriminator loss: 0.524754, acc: 0.679688] [adversarial loss: 1.621342, acc: 0.093750] 28695: [discriminator loss: 0.623275, acc: 0.679688] [adversarial loss: 1.073925, acc: 0.375000] 28696: [discriminator loss: 0.534159, acc: 0.718750] [adversarial loss: 1.476685, acc: 0.171875] 28697: [discriminator loss: 0.566078, acc: 0.679688] [adversarial loss: 1.099969, acc: 0.296875] 28698: [discriminator loss: 0.503865, acc: 0.726562] [adversarial loss: 1.425347, acc: 0.187500] 28699: [discriminator loss: 0.530357, acc: 0.718750] [adversarial loss: 1.276953, acc: 0.281250] 28700: [discriminator loss: 0.451371, acc: 0.804688] [adversarial loss: 1.292549, acc: 0.218750] 28701: [discriminator loss: 0.535098, acc: 0.703125] [adversarial loss: 1.254209, acc: 0.281250] 28702: [discriminator loss: 0.539039, acc: 0.726562] [adversarial loss: 1.218772, acc: 0.250000] 28703: [discriminator loss: 0.557762, acc: 0.718750] [adversarial loss: 1.575941, acc: 0.156250] 28704: [discriminator loss: 0.493597, acc: 0.734375] [adversarial loss: 1.088583, acc: 0.343750] 28705: [discriminator loss: 0.456187, acc: 0.773438] [adversarial loss: 1.480080, acc: 0.156250] 28706: [discriminator loss: 0.571598, acc: 0.679688] [adversarial loss: 0.918208, acc: 0.453125] 28707: [discriminator loss: 0.496736, acc: 0.679688] [adversarial loss: 1.517633, acc: 0.140625] 28708: [discriminator loss: 0.574543, acc: 0.703125] [adversarial loss: 1.203987, acc: 0.250000] 28709: [discriminator loss: 0.476378, acc: 0.804688] [adversarial loss: 1.460537, acc: 0.171875] 28710: [discriminator loss: 0.570552, acc: 0.687500] [adversarial loss: 0.899526, acc: 0.500000] 28711: [discriminator loss: 0.525035, acc: 0.726562] [adversarial loss: 1.444444, acc: 0.218750] 28712: [discriminator loss: 0.524457, acc: 0.734375] [adversarial loss: 0.888236, acc: 0.421875] 28713: [discriminator loss: 0.517378, acc: 0.781250] [adversarial loss: 1.402146, acc: 0.234375] 28714: [discriminator loss: 0.533768, acc: 0.765625] [adversarial loss: 1.038527, acc: 0.390625] 28715: [discriminator loss: 0.553773, acc: 0.687500] [adversarial loss: 1.166715, acc: 0.281250] 28716: [discriminator loss: 0.618708, acc: 0.656250] [adversarial loss: 1.032929, acc: 0.390625] 28717: [discriminator loss: 0.580425, acc: 0.703125] [adversarial loss: 1.487915, acc: 0.156250] 28718: [discriminator loss: 0.619413, acc: 0.648438] [adversarial loss: 1.135526, acc: 0.296875] 28719: [discriminator loss: 0.549843, acc: 0.710938] [adversarial loss: 1.400375, acc: 0.140625] 28720: [discriminator loss: 0.535160, acc: 0.671875] [adversarial loss: 1.265475, acc: 0.359375] 28721: [discriminator loss: 0.423580, acc: 0.835938] [adversarial loss: 1.062608, acc: 0.281250] 28722: [discriminator loss: 0.566903, acc: 0.679688] [adversarial loss: 1.705027, acc: 0.109375] 28723: [discriminator loss: 0.579741, acc: 0.703125] [adversarial loss: 0.903357, acc: 0.484375] 28724: [discriminator loss: 0.514695, acc: 0.726562] [adversarial loss: 1.578283, acc: 0.031250] 28725: [discriminator loss: 0.552408, acc: 0.703125] [adversarial loss: 0.924513, acc: 0.390625] 28726: [discriminator loss: 0.540750, acc: 0.750000] [adversarial loss: 1.459715, acc: 0.187500] 28727: [discriminator loss: 0.553185, acc: 0.703125] [adversarial loss: 1.044140, acc: 0.312500] 28728: [discriminator loss: 0.556998, acc: 0.656250] [adversarial loss: 1.523741, acc: 0.093750] 28729: [discriminator loss: 0.605164, acc: 0.687500] [adversarial loss: 0.723537, acc: 0.500000] 28730: [discriminator loss: 0.625307, acc: 0.656250] [adversarial loss: 1.576332, acc: 0.125000] 28731: [discriminator loss: 0.522878, acc: 0.726562] [adversarial loss: 1.115137, acc: 0.375000] 28732: [discriminator loss: 0.455582, acc: 0.789062] [adversarial loss: 1.259435, acc: 0.250000] 28733: [discriminator loss: 0.472937, acc: 0.757812] [adversarial loss: 0.965128, acc: 0.421875] 28734: [discriminator loss: 0.508276, acc: 0.687500] [adversarial loss: 1.601689, acc: 0.093750] 28735: [discriminator loss: 0.499468, acc: 0.726562] [adversarial loss: 0.990352, acc: 0.375000] 28736: [discriminator loss: 0.509367, acc: 0.703125] [adversarial loss: 1.590219, acc: 0.109375] 28737: [discriminator loss: 0.647323, acc: 0.679688] [adversarial loss: 1.051654, acc: 0.437500] 28738: [discriminator loss: 0.593152, acc: 0.671875] [adversarial loss: 1.393468, acc: 0.187500] 28739: [discriminator loss: 0.530268, acc: 0.726562] [adversarial loss: 0.934408, acc: 0.406250] 28740: [discriminator loss: 0.514879, acc: 0.726562] [adversarial loss: 1.629749, acc: 0.156250] 28741: [discriminator loss: 0.483436, acc: 0.757812] [adversarial loss: 1.073133, acc: 0.328125] 28742: [discriminator loss: 0.585825, acc: 0.718750] [adversarial loss: 1.703770, acc: 0.078125] 28743: [discriminator loss: 0.524916, acc: 0.734375] [adversarial loss: 1.099885, acc: 0.265625] 28744: [discriminator loss: 0.581995, acc: 0.703125] [adversarial loss: 1.586149, acc: 0.187500] 28745: [discriminator loss: 0.603245, acc: 0.609375] [adversarial loss: 1.094047, acc: 0.281250] 28746: [discriminator loss: 0.529004, acc: 0.703125] [adversarial loss: 1.475923, acc: 0.156250] 28747: [discriminator loss: 0.513353, acc: 0.679688] [adversarial loss: 1.195902, acc: 0.328125] 28748: [discriminator loss: 0.533019, acc: 0.781250] [adversarial loss: 1.473905, acc: 0.125000] 28749: [discriminator loss: 0.563998, acc: 0.750000] [adversarial loss: 1.348020, acc: 0.234375] 28750: [discriminator loss: 0.478589, acc: 0.757812] [adversarial loss: 1.077014, acc: 0.296875] 28751: [discriminator loss: 0.531366, acc: 0.750000] [adversarial loss: 1.248565, acc: 0.187500] 28752: [discriminator loss: 0.554482, acc: 0.710938] [adversarial loss: 1.707030, acc: 0.109375] 28753: [discriminator loss: 0.542841, acc: 0.734375] [adversarial loss: 1.137594, acc: 0.281250] 28754: [discriminator loss: 0.534703, acc: 0.703125] [adversarial loss: 1.310096, acc: 0.156250] 28755: [discriminator loss: 0.454395, acc: 0.812500] [adversarial loss: 1.332454, acc: 0.218750] 28756: [discriminator loss: 0.535608, acc: 0.742188] [adversarial loss: 1.061357, acc: 0.265625] 28757: [discriminator loss: 0.575389, acc: 0.648438] [adversarial loss: 1.246260, acc: 0.265625] 28758: [discriminator loss: 0.496682, acc: 0.773438] [adversarial loss: 1.263377, acc: 0.234375] 28759: [discriminator loss: 0.537802, acc: 0.703125] [adversarial loss: 1.191085, acc: 0.234375] 28760: [discriminator loss: 0.492990, acc: 0.765625] [adversarial loss: 1.270044, acc: 0.203125] 28761: [discriminator loss: 0.596857, acc: 0.695312] [adversarial loss: 1.167987, acc: 0.343750] 28762: [discriminator loss: 0.523378, acc: 0.750000] [adversarial loss: 0.735672, acc: 0.609375] 28763: [discriminator loss: 0.611850, acc: 0.617188] [adversarial loss: 2.199601, acc: 0.015625] 28764: [discriminator loss: 0.681124, acc: 0.664062] [adversarial loss: 0.805678, acc: 0.593750] 28765: [discriminator loss: 0.552745, acc: 0.671875] [adversarial loss: 1.181015, acc: 0.250000] 28766: [discriminator loss: 0.483302, acc: 0.742188] [adversarial loss: 1.077583, acc: 0.390625] 28767: [discriminator loss: 0.564862, acc: 0.640625] [adversarial loss: 1.268468, acc: 0.265625] 28768: [discriminator loss: 0.459257, acc: 0.796875] [adversarial loss: 1.224534, acc: 0.203125] 28769: [discriminator loss: 0.481695, acc: 0.781250] [adversarial loss: 1.051299, acc: 0.375000] 28770: [discriminator loss: 0.519416, acc: 0.750000] [adversarial loss: 1.381665, acc: 0.156250] 28771: [discriminator loss: 0.558257, acc: 0.687500] [adversarial loss: 0.830208, acc: 0.484375] 28772: [discriminator loss: 0.482876, acc: 0.789062] [adversarial loss: 1.310160, acc: 0.218750] 28773: [discriminator loss: 0.511755, acc: 0.726562] [adversarial loss: 0.813348, acc: 0.515625] 28774: [discriminator loss: 0.541169, acc: 0.671875] [adversarial loss: 1.591693, acc: 0.171875] 28775: [discriminator loss: 0.558235, acc: 0.703125] [adversarial loss: 0.996661, acc: 0.406250] 28776: [discriminator loss: 0.535460, acc: 0.726562] [adversarial loss: 1.377122, acc: 0.218750] 28777: [discriminator loss: 0.537047, acc: 0.718750] [adversarial loss: 1.318126, acc: 0.218750] 28778: [discriminator loss: 0.437694, acc: 0.835938] [adversarial loss: 1.305739, acc: 0.218750] 28779: [discriminator loss: 0.490758, acc: 0.789062] [adversarial loss: 1.458774, acc: 0.203125] 28780: [discriminator loss: 0.603783, acc: 0.632812] [adversarial loss: 1.192718, acc: 0.265625] 28781: [discriminator loss: 0.553835, acc: 0.687500] [adversarial loss: 1.329633, acc: 0.140625] 28782: [discriminator loss: 0.576627, acc: 0.726562] [adversarial loss: 0.986186, acc: 0.328125] 28783: [discriminator loss: 0.555093, acc: 0.726562] [adversarial loss: 1.358107, acc: 0.140625] 28784: [discriminator loss: 0.479742, acc: 0.773438] [adversarial loss: 0.918851, acc: 0.437500] 28785: [discriminator loss: 0.610998, acc: 0.695312] [adversarial loss: 1.703050, acc: 0.031250] 28786: [discriminator loss: 0.584847, acc: 0.687500] [adversarial loss: 1.047667, acc: 0.343750] 28787: [discriminator loss: 0.643264, acc: 0.656250] [adversarial loss: 1.738027, acc: 0.093750] 28788: [discriminator loss: 0.596670, acc: 0.695312] [adversarial loss: 0.812085, acc: 0.484375] 28789: [discriminator loss: 0.512491, acc: 0.757812] [adversarial loss: 1.436747, acc: 0.171875] 28790: [discriminator loss: 0.577280, acc: 0.679688] [adversarial loss: 1.200090, acc: 0.250000] 28791: [discriminator loss: 0.634306, acc: 0.617188] [adversarial loss: 1.264273, acc: 0.234375] 28792: [discriminator loss: 0.484837, acc: 0.765625] [adversarial loss: 1.277698, acc: 0.312500] 28793: [discriminator loss: 0.519757, acc: 0.726562] [adversarial loss: 0.913813, acc: 0.437500] 28794: [discriminator loss: 0.523704, acc: 0.710938] [adversarial loss: 1.297736, acc: 0.156250] 28795: [discriminator loss: 0.552871, acc: 0.695312] [adversarial loss: 1.058717, acc: 0.375000] 28796: [discriminator loss: 0.551881, acc: 0.695312] [adversarial loss: 1.213916, acc: 0.218750] 28797: [discriminator loss: 0.506961, acc: 0.750000] [adversarial loss: 1.050840, acc: 0.296875] 28798: [discriminator loss: 0.518839, acc: 0.718750] [adversarial loss: 1.544833, acc: 0.109375] 28799: [discriminator loss: 0.552784, acc: 0.679688] [adversarial loss: 0.884169, acc: 0.406250] 28800: [discriminator loss: 0.603226, acc: 0.664062] [adversarial loss: 1.764215, acc: 0.093750] 28801: [discriminator loss: 0.498365, acc: 0.734375] [adversarial loss: 0.807523, acc: 0.546875] 28802: [discriminator loss: 0.620818, acc: 0.664062] [adversarial loss: 1.846565, acc: 0.125000] 28803: [discriminator loss: 0.574449, acc: 0.648438] [adversarial loss: 1.007053, acc: 0.328125] 28804: [discriminator loss: 0.472561, acc: 0.796875] [adversarial loss: 1.334593, acc: 0.265625] 28805: [discriminator loss: 0.517367, acc: 0.734375] [adversarial loss: 1.047346, acc: 0.343750] 28806: [discriminator loss: 0.506683, acc: 0.734375] [adversarial loss: 1.563078, acc: 0.125000] 28807: [discriminator loss: 0.495820, acc: 0.750000] [adversarial loss: 1.221870, acc: 0.296875] 28808: [discriminator loss: 0.588849, acc: 0.664062] [adversarial loss: 1.341392, acc: 0.125000] 28809: [discriminator loss: 0.523697, acc: 0.710938] [adversarial loss: 0.921861, acc: 0.437500] 28810: [discriminator loss: 0.723813, acc: 0.625000] [adversarial loss: 1.676401, acc: 0.031250] 28811: [discriminator loss: 0.594498, acc: 0.679688] [adversarial loss: 0.919875, acc: 0.406250] 28812: [discriminator loss: 0.538917, acc: 0.710938] [adversarial loss: 1.456391, acc: 0.187500] 28813: [discriminator loss: 0.474659, acc: 0.828125] [adversarial loss: 1.242219, acc: 0.234375] 28814: [discriminator loss: 0.519385, acc: 0.750000] [adversarial loss: 1.078889, acc: 0.375000] 28815: [discriminator loss: 0.528045, acc: 0.726562] [adversarial loss: 1.666281, acc: 0.093750] 28816: [discriminator loss: 0.542331, acc: 0.726562] [adversarial loss: 1.148847, acc: 0.218750] 28817: [discriminator loss: 0.453103, acc: 0.804688] [adversarial loss: 1.271554, acc: 0.187500] 28818: [discriminator loss: 0.568160, acc: 0.703125] [adversarial loss: 1.037321, acc: 0.390625] 28819: [discriminator loss: 0.505917, acc: 0.765625] [adversarial loss: 1.299664, acc: 0.218750] 28820: [discriminator loss: 0.545593, acc: 0.718750] [adversarial loss: 1.241454, acc: 0.296875] 28821: [discriminator loss: 0.534396, acc: 0.718750] [adversarial loss: 1.451967, acc: 0.203125] 28822: [discriminator loss: 0.537567, acc: 0.726562] [adversarial loss: 0.984644, acc: 0.421875] 28823: [discriminator loss: 0.572675, acc: 0.695312] [adversarial loss: 1.601226, acc: 0.171875] 28824: [discriminator loss: 0.518725, acc: 0.710938] [adversarial loss: 0.765320, acc: 0.546875] 28825: [discriminator loss: 0.519417, acc: 0.703125] [adversarial loss: 1.486196, acc: 0.109375] 28826: [discriminator loss: 0.500775, acc: 0.773438] [adversarial loss: 1.267905, acc: 0.187500] 28827: [discriminator loss: 0.547188, acc: 0.726562] [adversarial loss: 1.296834, acc: 0.234375] 28828: [discriminator loss: 0.567553, acc: 0.679688] [adversarial loss: 1.118046, acc: 0.328125] 28829: [discriminator loss: 0.593220, acc: 0.671875] [adversarial loss: 1.625516, acc: 0.156250] 28830: [discriminator loss: 0.584589, acc: 0.687500] [adversarial loss: 0.813845, acc: 0.578125] 28831: [discriminator loss: 0.568745, acc: 0.710938] [adversarial loss: 1.451639, acc: 0.156250] 28832: [discriminator loss: 0.594336, acc: 0.695312] [adversarial loss: 1.030237, acc: 0.437500] 28833: [discriminator loss: 0.564134, acc: 0.656250] [adversarial loss: 1.501943, acc: 0.109375] 28834: [discriminator loss: 0.515739, acc: 0.750000] [adversarial loss: 0.848758, acc: 0.453125] 28835: [discriminator loss: 0.565746, acc: 0.750000] [adversarial loss: 1.653512, acc: 0.093750] 28836: [discriminator loss: 0.575650, acc: 0.695312] [adversarial loss: 0.847021, acc: 0.406250] 28837: [discriminator loss: 0.583029, acc: 0.703125] [adversarial loss: 1.640111, acc: 0.093750] 28838: [discriminator loss: 0.480761, acc: 0.773438] [adversarial loss: 0.922209, acc: 0.406250] 28839: [discriminator loss: 0.583316, acc: 0.687500] [adversarial loss: 1.341138, acc: 0.187500] 28840: [discriminator loss: 0.508824, acc: 0.750000] [adversarial loss: 0.890708, acc: 0.437500] 28841: [discriminator loss: 0.545476, acc: 0.726562] [adversarial loss: 1.401919, acc: 0.156250] 28842: [discriminator loss: 0.571026, acc: 0.656250] [adversarial loss: 1.146803, acc: 0.296875] 28843: [discriminator loss: 0.513221, acc: 0.734375] [adversarial loss: 1.249567, acc: 0.203125] 28844: [discriminator loss: 0.484264, acc: 0.742188] [adversarial loss: 0.926798, acc: 0.437500] 28845: [discriminator loss: 0.565778, acc: 0.687500] [adversarial loss: 1.409661, acc: 0.218750] 28846: [discriminator loss: 0.593873, acc: 0.664062] [adversarial loss: 1.002648, acc: 0.343750] 28847: [discriminator loss: 0.594474, acc: 0.679688] [adversarial loss: 1.535969, acc: 0.156250] 28848: [discriminator loss: 0.517419, acc: 0.703125] [adversarial loss: 1.083472, acc: 0.312500] 28849: [discriminator loss: 0.499034, acc: 0.734375] [adversarial loss: 1.165002, acc: 0.312500] 28850: [discriminator loss: 0.500774, acc: 0.773438] [adversarial loss: 1.428176, acc: 0.218750] 28851: [discriminator loss: 0.510134, acc: 0.718750] [adversarial loss: 1.311524, acc: 0.218750] 28852: [discriminator loss: 0.492898, acc: 0.757812] [adversarial loss: 1.243250, acc: 0.203125] 28853: [discriminator loss: 0.515156, acc: 0.734375] [adversarial loss: 1.429397, acc: 0.125000] 28854: [discriminator loss: 0.510999, acc: 0.742188] [adversarial loss: 1.152814, acc: 0.234375] 28855: [discriminator loss: 0.549906, acc: 0.710938] [adversarial loss: 1.383166, acc: 0.234375] 28856: [discriminator loss: 0.562924, acc: 0.726562] [adversarial loss: 1.065702, acc: 0.328125] 28857: [discriminator loss: 0.484824, acc: 0.750000] [adversarial loss: 1.289245, acc: 0.156250] 28858: [discriminator loss: 0.516884, acc: 0.742188] [adversarial loss: 0.954069, acc: 0.375000] 28859: [discriminator loss: 0.451877, acc: 0.773438] [adversarial loss: 1.530532, acc: 0.203125] 28860: [discriminator loss: 0.530952, acc: 0.718750] [adversarial loss: 0.946634, acc: 0.390625] 28861: [discriminator loss: 0.522288, acc: 0.703125] [adversarial loss: 1.697908, acc: 0.109375] 28862: [discriminator loss: 0.477019, acc: 0.757812] [adversarial loss: 0.711573, acc: 0.640625] 28863: [discriminator loss: 0.533805, acc: 0.734375] [adversarial loss: 1.459705, acc: 0.093750] 28864: [discriminator loss: 0.575520, acc: 0.671875] [adversarial loss: 0.990071, acc: 0.359375] 28865: [discriminator loss: 0.613360, acc: 0.679688] [adversarial loss: 1.597614, acc: 0.140625] 28866: [discriminator loss: 0.511701, acc: 0.734375] [adversarial loss: 0.913627, acc: 0.453125] 28867: [discriminator loss: 0.573504, acc: 0.695312] [adversarial loss: 1.357713, acc: 0.250000] 28868: [discriminator loss: 0.532995, acc: 0.757812] [adversarial loss: 0.883636, acc: 0.328125] 28869: [discriminator loss: 0.505735, acc: 0.750000] [adversarial loss: 1.073140, acc: 0.265625] 28870: [discriminator loss: 0.479061, acc: 0.781250] [adversarial loss: 1.160379, acc: 0.328125] 28871: [discriminator loss: 0.477474, acc: 0.757812] [adversarial loss: 1.327750, acc: 0.281250] 28872: [discriminator loss: 0.497993, acc: 0.757812] [adversarial loss: 0.969666, acc: 0.312500] 28873: [discriminator loss: 0.546567, acc: 0.703125] [adversarial loss: 1.128649, acc: 0.312500] 28874: [discriminator loss: 0.455913, acc: 0.773438] [adversarial loss: 1.135111, acc: 0.343750] 28875: [discriminator loss: 0.492090, acc: 0.757812] [adversarial loss: 1.023830, acc: 0.359375] 28876: [discriminator loss: 0.445268, acc: 0.773438] [adversarial loss: 1.324800, acc: 0.218750] 28877: [discriminator loss: 0.616130, acc: 0.640625] [adversarial loss: 1.587798, acc: 0.125000] 28878: [discriminator loss: 0.565638, acc: 0.695312] [adversarial loss: 0.961702, acc: 0.390625] 28879: [discriminator loss: 0.573320, acc: 0.671875] [adversarial loss: 1.326011, acc: 0.171875] 28880: [discriminator loss: 0.486733, acc: 0.804688] [adversarial loss: 1.184939, acc: 0.218750] 28881: [discriminator loss: 0.514575, acc: 0.750000] [adversarial loss: 1.535116, acc: 0.187500] 28882: [discriminator loss: 0.498016, acc: 0.750000] [adversarial loss: 1.017009, acc: 0.328125] 28883: [discriminator loss: 0.575499, acc: 0.703125] [adversarial loss: 1.291953, acc: 0.156250] 28884: [discriminator loss: 0.552773, acc: 0.726562] [adversarial loss: 1.447724, acc: 0.234375] 28885: [discriminator loss: 0.479178, acc: 0.796875] [adversarial loss: 1.157888, acc: 0.328125] 28886: [discriminator loss: 0.534619, acc: 0.773438] [adversarial loss: 1.479510, acc: 0.218750] 28887: [discriminator loss: 0.556399, acc: 0.734375] [adversarial loss: 0.966495, acc: 0.453125] 28888: [discriminator loss: 0.509434, acc: 0.718750] [adversarial loss: 1.725710, acc: 0.125000] 28889: [discriminator loss: 0.598194, acc: 0.656250] [adversarial loss: 0.961634, acc: 0.406250] 28890: [discriminator loss: 0.460183, acc: 0.773438] [adversarial loss: 1.627683, acc: 0.109375] 28891: [discriminator loss: 0.602896, acc: 0.648438] [adversarial loss: 1.264692, acc: 0.218750] 28892: [discriminator loss: 0.547088, acc: 0.750000] [adversarial loss: 1.030345, acc: 0.359375] 28893: [discriminator loss: 0.552994, acc: 0.679688] [adversarial loss: 1.693176, acc: 0.109375] 28894: [discriminator loss: 0.510739, acc: 0.750000] [adversarial loss: 1.284187, acc: 0.187500] 28895: [discriminator loss: 0.500192, acc: 0.773438] [adversarial loss: 1.426943, acc: 0.156250] 28896: [discriminator loss: 0.510412, acc: 0.757812] [adversarial loss: 0.850245, acc: 0.468750] 28897: [discriminator loss: 0.514359, acc: 0.718750] [adversarial loss: 1.598072, acc: 0.140625] 28898: [discriminator loss: 0.543959, acc: 0.632812] [adversarial loss: 0.860212, acc: 0.468750] 28899: [discriminator loss: 0.600336, acc: 0.640625] [adversarial loss: 1.267491, acc: 0.312500] 28900: [discriminator loss: 0.536240, acc: 0.773438] [adversarial loss: 0.950622, acc: 0.375000] 28901: [discriminator loss: 0.506083, acc: 0.750000] [adversarial loss: 1.261691, acc: 0.234375] 28902: [discriminator loss: 0.533151, acc: 0.703125] [adversarial loss: 1.095791, acc: 0.343750] 28903: [discriminator loss: 0.560568, acc: 0.710938] [adversarial loss: 1.256650, acc: 0.250000] 28904: [discriminator loss: 0.526305, acc: 0.710938] [adversarial loss: 1.137621, acc: 0.265625] 28905: [discriminator loss: 0.526744, acc: 0.718750] [adversarial loss: 0.994339, acc: 0.390625] 28906: [discriminator loss: 0.552176, acc: 0.718750] [adversarial loss: 1.483693, acc: 0.234375] 28907: [discriminator loss: 0.549157, acc: 0.687500] [adversarial loss: 0.950442, acc: 0.437500] 28908: [discriminator loss: 0.526183, acc: 0.710938] [adversarial loss: 1.563484, acc: 0.078125] 28909: [discriminator loss: 0.517025, acc: 0.757812] [adversarial loss: 0.903886, acc: 0.437500] 28910: [discriminator loss: 0.568217, acc: 0.703125] [adversarial loss: 1.410691, acc: 0.171875] 28911: [discriminator loss: 0.595125, acc: 0.710938] [adversarial loss: 1.089926, acc: 0.312500] 28912: [discriminator loss: 0.613302, acc: 0.695312] [adversarial loss: 1.804804, acc: 0.046875] 28913: [discriminator loss: 0.526484, acc: 0.695312] [adversarial loss: 1.018213, acc: 0.281250] 28914: [discriminator loss: 0.567996, acc: 0.710938] [adversarial loss: 1.510570, acc: 0.234375] 28915: [discriminator loss: 0.568832, acc: 0.695312] [adversarial loss: 1.084719, acc: 0.296875] 28916: [discriminator loss: 0.574554, acc: 0.687500] [adversarial loss: 1.288896, acc: 0.234375] 28917: [discriminator loss: 0.507573, acc: 0.757812] [adversarial loss: 1.047816, acc: 0.375000] 28918: [discriminator loss: 0.526108, acc: 0.718750] [adversarial loss: 1.490104, acc: 0.093750] 28919: [discriminator loss: 0.529797, acc: 0.695312] [adversarial loss: 0.807465, acc: 0.546875] 28920: [discriminator loss: 0.536911, acc: 0.687500] [adversarial loss: 1.495144, acc: 0.171875] 28921: [discriminator loss: 0.547391, acc: 0.679688] [adversarial loss: 0.991200, acc: 0.406250] 28922: [discriminator loss: 0.559540, acc: 0.726562] [adversarial loss: 1.343657, acc: 0.187500] 28923: [discriminator loss: 0.511976, acc: 0.742188] [adversarial loss: 1.310125, acc: 0.171875] 28924: [discriminator loss: 0.516272, acc: 0.726562] [adversarial loss: 1.233655, acc: 0.250000] 28925: [discriminator loss: 0.624414, acc: 0.601562] [adversarial loss: 1.465852, acc: 0.203125] 28926: [discriminator loss: 0.533473, acc: 0.742188] [adversarial loss: 1.235745, acc: 0.250000] 28927: [discriminator loss: 0.555787, acc: 0.703125] [adversarial loss: 1.196079, acc: 0.234375] 28928: [discriminator loss: 0.510020, acc: 0.750000] [adversarial loss: 1.198619, acc: 0.281250] 28929: [discriminator loss: 0.522260, acc: 0.726562] [adversarial loss: 1.048822, acc: 0.375000] 28930: [discriminator loss: 0.532056, acc: 0.734375] [adversarial loss: 1.442267, acc: 0.171875] 28931: [discriminator loss: 0.474649, acc: 0.765625] [adversarial loss: 0.899326, acc: 0.437500] 28932: [discriminator loss: 0.613293, acc: 0.664062] [adversarial loss: 1.789775, acc: 0.093750] 28933: [discriminator loss: 0.643596, acc: 0.648438] [adversarial loss: 0.785406, acc: 0.484375] 28934: [discriminator loss: 0.538336, acc: 0.718750] [adversarial loss: 1.725821, acc: 0.109375] 28935: [discriminator loss: 0.574690, acc: 0.640625] [adversarial loss: 1.049840, acc: 0.359375] 28936: [discriminator loss: 0.509914, acc: 0.734375] [adversarial loss: 1.271887, acc: 0.218750] 28937: [discriminator loss: 0.536829, acc: 0.734375] [adversarial loss: 1.061122, acc: 0.312500] 28938: [discriminator loss: 0.505872, acc: 0.750000] [adversarial loss: 1.382760, acc: 0.156250] 28939: [discriminator loss: 0.585090, acc: 0.671875] [adversarial loss: 1.200578, acc: 0.203125] 28940: [discriminator loss: 0.525360, acc: 0.750000] [adversarial loss: 1.351514, acc: 0.218750] 28941: [discriminator loss: 0.538340, acc: 0.726562] [adversarial loss: 1.246321, acc: 0.281250] 28942: [discriminator loss: 0.534088, acc: 0.757812] [adversarial loss: 1.458830, acc: 0.187500] 28943: [discriminator loss: 0.511685, acc: 0.734375] [adversarial loss: 1.326675, acc: 0.281250] 28944: [discriminator loss: 0.544018, acc: 0.679688] [adversarial loss: 0.981009, acc: 0.312500] 28945: [discriminator loss: 0.447063, acc: 0.812500] [adversarial loss: 1.579127, acc: 0.156250] 28946: [discriminator loss: 0.535144, acc: 0.687500] [adversarial loss: 1.289967, acc: 0.218750] 28947: [discriminator loss: 0.481712, acc: 0.710938] [adversarial loss: 1.068380, acc: 0.359375] 28948: [discriminator loss: 0.539305, acc: 0.757812] [adversarial loss: 1.074990, acc: 0.359375] 28949: [discriminator loss: 0.546032, acc: 0.679688] [adversarial loss: 1.746524, acc: 0.125000] 28950: [discriminator loss: 0.559308, acc: 0.687500] [adversarial loss: 0.883686, acc: 0.437500] 28951: [discriminator loss: 0.538450, acc: 0.726562] [adversarial loss: 1.587450, acc: 0.140625] 28952: [discriminator loss: 0.612821, acc: 0.671875] [adversarial loss: 0.831744, acc: 0.500000] 28953: [discriminator loss: 0.549880, acc: 0.726562] [adversarial loss: 1.622882, acc: 0.140625] 28954: [discriminator loss: 0.537404, acc: 0.742188] [adversarial loss: 0.891711, acc: 0.453125] 28955: [discriminator loss: 0.575411, acc: 0.695312] [adversarial loss: 1.361389, acc: 0.265625] 28956: [discriminator loss: 0.554434, acc: 0.687500] [adversarial loss: 1.114641, acc: 0.312500] 28957: [discriminator loss: 0.506359, acc: 0.718750] [adversarial loss: 1.287311, acc: 0.218750] 28958: [discriminator loss: 0.528413, acc: 0.718750] [adversarial loss: 0.952527, acc: 0.390625] 28959: [discriminator loss: 0.585000, acc: 0.640625] [adversarial loss: 1.395698, acc: 0.156250] 28960: [discriminator loss: 0.549170, acc: 0.671875] [adversarial loss: 0.827210, acc: 0.500000] 28961: [discriminator loss: 0.495823, acc: 0.710938] [adversarial loss: 1.561761, acc: 0.109375] 28962: [discriminator loss: 0.563127, acc: 0.718750] [adversarial loss: 0.815818, acc: 0.453125] 28963: [discriminator loss: 0.498682, acc: 0.773438] [adversarial loss: 1.461530, acc: 0.187500] 28964: [discriminator loss: 0.577111, acc: 0.656250] [adversarial loss: 0.941054, acc: 0.406250] 28965: [discriminator loss: 0.483904, acc: 0.757812] [adversarial loss: 1.249322, acc: 0.312500] 28966: [discriminator loss: 0.501409, acc: 0.742188] [adversarial loss: 1.144251, acc: 0.203125] 28967: [discriminator loss: 0.579431, acc: 0.679688] [adversarial loss: 1.250017, acc: 0.281250] 28968: [discriminator loss: 0.484362, acc: 0.781250] [adversarial loss: 1.288987, acc: 0.187500] 28969: [discriminator loss: 0.557086, acc: 0.703125] [adversarial loss: 1.248367, acc: 0.281250] 28970: [discriminator loss: 0.507467, acc: 0.726562] [adversarial loss: 0.990794, acc: 0.515625] 28971: [discriminator loss: 0.557425, acc: 0.671875] [adversarial loss: 1.440825, acc: 0.187500] 28972: [discriminator loss: 0.582392, acc: 0.703125] [adversarial loss: 1.190427, acc: 0.265625] 28973: [discriminator loss: 0.568687, acc: 0.656250] [adversarial loss: 1.332441, acc: 0.218750] 28974: [discriminator loss: 0.560133, acc: 0.703125] [adversarial loss: 1.153341, acc: 0.328125] 28975: [discriminator loss: 0.601913, acc: 0.703125] [adversarial loss: 1.426414, acc: 0.140625] 28976: [discriminator loss: 0.551133, acc: 0.773438] [adversarial loss: 0.985265, acc: 0.359375] 28977: [discriminator loss: 0.546973, acc: 0.710938] [adversarial loss: 1.570152, acc: 0.125000] 28978: [discriminator loss: 0.503467, acc: 0.765625] [adversarial loss: 1.023473, acc: 0.406250] 28979: [discriminator loss: 0.480124, acc: 0.765625] [adversarial loss: 1.517377, acc: 0.171875] 28980: [discriminator loss: 0.507716, acc: 0.734375] [adversarial loss: 1.150995, acc: 0.375000] 28981: [discriminator loss: 0.535762, acc: 0.718750] [adversarial loss: 1.494171, acc: 0.125000] 28982: [discriminator loss: 0.610760, acc: 0.664062] [adversarial loss: 0.976272, acc: 0.453125] 28983: [discriminator loss: 0.605934, acc: 0.687500] [adversarial loss: 1.648801, acc: 0.062500] 28984: [discriminator loss: 0.547623, acc: 0.687500] [adversarial loss: 0.847275, acc: 0.484375] 28985: [discriminator loss: 0.452043, acc: 0.781250] [adversarial loss: 1.419110, acc: 0.156250] 28986: [discriminator loss: 0.485991, acc: 0.757812] [adversarial loss: 0.961927, acc: 0.406250] 28987: [discriminator loss: 0.550617, acc: 0.742188] [adversarial loss: 1.500845, acc: 0.203125] 28988: [discriminator loss: 0.482397, acc: 0.734375] [adversarial loss: 1.108287, acc: 0.312500] 28989: [discriminator loss: 0.536478, acc: 0.718750] [adversarial loss: 1.496509, acc: 0.140625] 28990: [discriminator loss: 0.467319, acc: 0.804688] [adversarial loss: 1.218919, acc: 0.218750] 28991: [discriminator loss: 0.527154, acc: 0.742188] [adversarial loss: 1.283920, acc: 0.203125] 28992: [discriminator loss: 0.550479, acc: 0.726562] [adversarial loss: 1.271677, acc: 0.312500] 28993: [discriminator loss: 0.516688, acc: 0.726562] [adversarial loss: 1.232476, acc: 0.250000] 28994: [discriminator loss: 0.459974, acc: 0.812500] [adversarial loss: 1.058781, acc: 0.375000] 28995: [discriminator loss: 0.553005, acc: 0.695312] [adversarial loss: 1.396482, acc: 0.187500] 28996: [discriminator loss: 0.528583, acc: 0.703125] [adversarial loss: 1.025008, acc: 0.375000] 28997: [discriminator loss: 0.514961, acc: 0.742188] [adversarial loss: 1.109688, acc: 0.312500] 28998: [discriminator loss: 0.530325, acc: 0.718750] [adversarial loss: 1.112917, acc: 0.234375] 28999: [discriminator loss: 0.498137, acc: 0.750000] [adversarial loss: 1.211606, acc: 0.203125] 29000: [discriminator loss: 0.517726, acc: 0.742188] [adversarial loss: 1.294565, acc: 0.281250] 29001: [discriminator loss: 0.490563, acc: 0.718750] [adversarial loss: 1.083277, acc: 0.328125] 29002: [discriminator loss: 0.519204, acc: 0.757812] [adversarial loss: 1.502072, acc: 0.109375] 29003: [discriminator loss: 0.597254, acc: 0.671875] [adversarial loss: 1.303082, acc: 0.296875] 29004: [discriminator loss: 0.494986, acc: 0.773438] [adversarial loss: 1.468455, acc: 0.187500] 29005: [discriminator loss: 0.535089, acc: 0.718750] [adversarial loss: 0.884472, acc: 0.453125] 29006: [discriminator loss: 0.589625, acc: 0.632812] [adversarial loss: 1.891555, acc: 0.031250] 29007: [discriminator loss: 0.560909, acc: 0.664062] [adversarial loss: 0.803764, acc: 0.468750] 29008: [discriminator loss: 0.698041, acc: 0.656250] [adversarial loss: 1.653909, acc: 0.109375] 29009: [discriminator loss: 0.502634, acc: 0.750000] [adversarial loss: 1.032479, acc: 0.375000] 29010: [discriminator loss: 0.545851, acc: 0.742188] [adversarial loss: 1.404955, acc: 0.171875] 29011: [discriminator loss: 0.537911, acc: 0.734375] [adversarial loss: 1.007802, acc: 0.375000] 29012: [discriminator loss: 0.503822, acc: 0.750000] [adversarial loss: 1.156595, acc: 0.218750] 29013: [discriminator loss: 0.527969, acc: 0.695312] [adversarial loss: 1.258814, acc: 0.234375] 29014: [discriminator loss: 0.506973, acc: 0.726562] [adversarial loss: 1.326129, acc: 0.140625] 29015: [discriminator loss: 0.538028, acc: 0.703125] [adversarial loss: 1.032866, acc: 0.390625] 29016: [discriminator loss: 0.504652, acc: 0.757812] [adversarial loss: 1.476801, acc: 0.125000] 29017: [discriminator loss: 0.544831, acc: 0.742188] [adversarial loss: 0.918923, acc: 0.484375] 29018: [discriminator loss: 0.583823, acc: 0.718750] [adversarial loss: 1.909454, acc: 0.078125] 29019: [discriminator loss: 0.585703, acc: 0.679688] [adversarial loss: 0.881531, acc: 0.406250] 29020: [discriminator loss: 0.520237, acc: 0.710938] [adversarial loss: 1.586398, acc: 0.109375] 29021: [discriminator loss: 0.477998, acc: 0.757812] [adversarial loss: 1.108826, acc: 0.250000] 29022: [discriminator loss: 0.528868, acc: 0.742188] [adversarial loss: 1.466380, acc: 0.187500] 29023: [discriminator loss: 0.501324, acc: 0.757812] [adversarial loss: 1.178722, acc: 0.281250] 29024: [discriminator loss: 0.546799, acc: 0.687500] [adversarial loss: 1.597775, acc: 0.187500] 29025: [discriminator loss: 0.579244, acc: 0.703125] [adversarial loss: 1.189385, acc: 0.328125] 29026: [discriminator loss: 0.416793, acc: 0.828125] [adversarial loss: 1.045161, acc: 0.375000] 29027: [discriminator loss: 0.576270, acc: 0.687500] [adversarial loss: 1.204295, acc: 0.296875] 29028: [discriminator loss: 0.557673, acc: 0.656250] [adversarial loss: 1.222808, acc: 0.218750] 29029: [discriminator loss: 0.485542, acc: 0.750000] [adversarial loss: 1.077808, acc: 0.328125] 29030: [discriminator loss: 0.580667, acc: 0.726562] [adversarial loss: 1.161768, acc: 0.250000] 29031: [discriminator loss: 0.601112, acc: 0.679688] [adversarial loss: 1.119437, acc: 0.312500] 29032: [discriminator loss: 0.542684, acc: 0.726562] [adversarial loss: 1.115422, acc: 0.312500] 29033: [discriminator loss: 0.448363, acc: 0.812500] [adversarial loss: 1.123884, acc: 0.375000] 29034: [discriminator loss: 0.556945, acc: 0.742188] [adversarial loss: 1.479155, acc: 0.156250] 29035: [discriminator loss: 0.509467, acc: 0.679688] [adversarial loss: 0.842736, acc: 0.515625] 29036: [discriminator loss: 0.482519, acc: 0.757812] [adversarial loss: 1.237837, acc: 0.250000] 29037: [discriminator loss: 0.491120, acc: 0.773438] [adversarial loss: 0.954185, acc: 0.437500] 29038: [discriminator loss: 0.584449, acc: 0.703125] [adversarial loss: 1.178682, acc: 0.359375] 29039: [discriminator loss: 0.550660, acc: 0.687500] [adversarial loss: 0.974598, acc: 0.437500] 29040: [discriminator loss: 0.483616, acc: 0.726562] [adversarial loss: 1.597010, acc: 0.171875] 29041: [discriminator loss: 0.523806, acc: 0.757812] [adversarial loss: 0.705759, acc: 0.625000] 29042: [discriminator loss: 0.518194, acc: 0.695312] [adversarial loss: 1.948836, acc: 0.078125] 29043: [discriminator loss: 0.554166, acc: 0.695312] [adversarial loss: 0.843400, acc: 0.546875] 29044: [discriminator loss: 0.597024, acc: 0.664062] [adversarial loss: 1.756754, acc: 0.109375] 29045: [discriminator loss: 0.498930, acc: 0.750000] [adversarial loss: 1.187274, acc: 0.250000] 29046: [discriminator loss: 0.582416, acc: 0.664062] [adversarial loss: 1.593827, acc: 0.140625] 29047: [discriminator loss: 0.539707, acc: 0.679688] [adversarial loss: 1.218284, acc: 0.296875] 29048: [discriminator loss: 0.524367, acc: 0.750000] [adversarial loss: 1.326639, acc: 0.187500] 29049: [discriminator loss: 0.525326, acc: 0.750000] [adversarial loss: 1.097110, acc: 0.375000] 29050: [discriminator loss: 0.566475, acc: 0.726562] [adversarial loss: 1.563676, acc: 0.140625] 29051: [discriminator loss: 0.572744, acc: 0.664062] [adversarial loss: 1.027954, acc: 0.375000] 29052: [discriminator loss: 0.522608, acc: 0.734375] [adversarial loss: 1.735054, acc: 0.171875] 29053: [discriminator loss: 0.642639, acc: 0.640625] [adversarial loss: 1.135518, acc: 0.281250] 29054: [discriminator loss: 0.526240, acc: 0.750000] [adversarial loss: 1.614071, acc: 0.125000] 29055: [discriminator loss: 0.560192, acc: 0.687500] [adversarial loss: 1.047922, acc: 0.359375] 29056: [discriminator loss: 0.575234, acc: 0.656250] [adversarial loss: 1.529800, acc: 0.125000] 29057: [discriminator loss: 0.544095, acc: 0.734375] [adversarial loss: 0.971164, acc: 0.390625] 29058: [discriminator loss: 0.509459, acc: 0.765625] [adversarial loss: 1.345666, acc: 0.203125] 29059: [discriminator loss: 0.591597, acc: 0.695312] [adversarial loss: 1.023387, acc: 0.375000] 29060: [discriminator loss: 0.477026, acc: 0.789062] [adversarial loss: 1.504917, acc: 0.156250] 29061: [discriminator loss: 0.503891, acc: 0.710938] [adversarial loss: 1.153316, acc: 0.296875] 29062: [discriminator loss: 0.494343, acc: 0.781250] [adversarial loss: 1.369808, acc: 0.156250] 29063: [discriminator loss: 0.487122, acc: 0.687500] [adversarial loss: 0.948466, acc: 0.375000] 29064: [discriminator loss: 0.522842, acc: 0.765625] [adversarial loss: 1.579224, acc: 0.171875] 29065: [discriminator loss: 0.513705, acc: 0.710938] [adversarial loss: 0.915179, acc: 0.390625] 29066: [discriminator loss: 0.495989, acc: 0.750000] [adversarial loss: 1.261884, acc: 0.234375] 29067: [discriminator loss: 0.509796, acc: 0.742188] [adversarial loss: 0.893183, acc: 0.406250] 29068: [discriminator loss: 0.565264, acc: 0.710938] [adversarial loss: 1.054734, acc: 0.312500] 29069: [discriminator loss: 0.504202, acc: 0.734375] [adversarial loss: 0.745816, acc: 0.515625] 29070: [discriminator loss: 0.494278, acc: 0.757812] [adversarial loss: 1.045072, acc: 0.375000] 29071: [discriminator loss: 0.492487, acc: 0.765625] [adversarial loss: 0.826790, acc: 0.484375] 29072: [discriminator loss: 0.526854, acc: 0.742188] [adversarial loss: 1.341460, acc: 0.187500] 29073: [discriminator loss: 0.524448, acc: 0.703125] [adversarial loss: 1.112238, acc: 0.281250] 29074: [discriminator loss: 0.482488, acc: 0.796875] [adversarial loss: 1.071358, acc: 0.359375] 29075: [discriminator loss: 0.474498, acc: 0.750000] [adversarial loss: 1.212877, acc: 0.250000] 29076: [discriminator loss: 0.436539, acc: 0.820312] [adversarial loss: 1.464154, acc: 0.203125] 29077: [discriminator loss: 0.495031, acc: 0.750000] [adversarial loss: 1.303841, acc: 0.156250] 29078: [discriminator loss: 0.486089, acc: 0.773438] [adversarial loss: 1.010614, acc: 0.328125] 29079: [discriminator loss: 0.478996, acc: 0.757812] [adversarial loss: 1.262897, acc: 0.281250] 29080: [discriminator loss: 0.510149, acc: 0.742188] [adversarial loss: 0.581931, acc: 0.687500] 29081: [discriminator loss: 0.485179, acc: 0.750000] [adversarial loss: 1.270881, acc: 0.281250] 29082: [discriminator loss: 0.608659, acc: 0.656250] [adversarial loss: 0.460682, acc: 0.828125] 29083: [discriminator loss: 0.616705, acc: 0.679688] [adversarial loss: 1.358136, acc: 0.187500] 29084: [discriminator loss: 0.561847, acc: 0.664062] [adversarial loss: 0.624585, acc: 0.640625] 29085: [discriminator loss: 0.476878, acc: 0.796875] [adversarial loss: 1.079282, acc: 0.390625] 29086: [discriminator loss: 0.547561, acc: 0.742188] [adversarial loss: 0.733005, acc: 0.578125] 29087: [discriminator loss: 0.485046, acc: 0.742188] [adversarial loss: 1.095489, acc: 0.328125] 29088: [discriminator loss: 0.547595, acc: 0.695312] [adversarial loss: 1.256539, acc: 0.218750] 29089: [discriminator loss: 0.531983, acc: 0.757812] [adversarial loss: 1.134569, acc: 0.250000] 29090: [discriminator loss: 0.489051, acc: 0.742188] [adversarial loss: 1.785790, acc: 0.093750] 29091: [discriminator loss: 0.528718, acc: 0.726562] [adversarial loss: 0.902117, acc: 0.453125] 29092: [discriminator loss: 0.490121, acc: 0.773438] [adversarial loss: 1.809681, acc: 0.093750] 29093: [discriminator loss: 0.492517, acc: 0.773438] [adversarial loss: 1.426580, acc: 0.250000] 29094: [discriminator loss: 0.475510, acc: 0.765625] [adversarial loss: 1.605072, acc: 0.109375] 29095: [discriminator loss: 0.479665, acc: 0.796875] [adversarial loss: 1.412159, acc: 0.156250] 29096: [discriminator loss: 0.432254, acc: 0.820312] [adversarial loss: 1.609233, acc: 0.156250] 29097: [discriminator loss: 0.467613, acc: 0.789062] [adversarial loss: 1.036660, acc: 0.312500] 29098: [discriminator loss: 0.491936, acc: 0.773438] [adversarial loss: 1.855530, acc: 0.078125] 29099: [discriminator loss: 0.534203, acc: 0.718750] [adversarial loss: 0.999441, acc: 0.406250] 29100: [discriminator loss: 0.543186, acc: 0.703125] [adversarial loss: 1.744290, acc: 0.031250] 29101: [discriminator loss: 0.510345, acc: 0.726562] [adversarial loss: 1.249427, acc: 0.265625] 29102: [discriminator loss: 0.528534, acc: 0.703125] [adversarial loss: 1.625395, acc: 0.109375] 29103: [discriminator loss: 0.488732, acc: 0.726562] [adversarial loss: 1.317887, acc: 0.203125] 29104: [discriminator loss: 0.471645, acc: 0.804688] [adversarial loss: 1.293295, acc: 0.375000] 29105: [discriminator loss: 0.549536, acc: 0.710938] [adversarial loss: 1.752942, acc: 0.140625] 29106: [discriminator loss: 0.482442, acc: 0.765625] [adversarial loss: 0.786758, acc: 0.593750] 29107: [discriminator loss: 0.577984, acc: 0.671875] [adversarial loss: 1.637837, acc: 0.171875] 29108: [discriminator loss: 0.565494, acc: 0.679688] [adversarial loss: 1.285646, acc: 0.234375] 29109: [discriminator loss: 0.585059, acc: 0.671875] [adversarial loss: 1.611025, acc: 0.187500] 29110: [discriminator loss: 0.496727, acc: 0.726562] [adversarial loss: 1.255039, acc: 0.250000] 29111: [discriminator loss: 0.492011, acc: 0.750000] [adversarial loss: 1.600536, acc: 0.171875] 29112: [discriminator loss: 0.589733, acc: 0.703125] [adversarial loss: 1.513806, acc: 0.187500] 29113: [discriminator loss: 0.504917, acc: 0.742188] [adversarial loss: 1.214241, acc: 0.296875] 29114: [discriminator loss: 0.514811, acc: 0.703125] [adversarial loss: 1.455649, acc: 0.234375] 29115: [discriminator loss: 0.486353, acc: 0.765625] [adversarial loss: 1.194873, acc: 0.296875] 29116: [discriminator loss: 0.524162, acc: 0.718750] [adversarial loss: 1.707228, acc: 0.109375] 29117: [discriminator loss: 0.431089, acc: 0.804688] [adversarial loss: 1.277365, acc: 0.234375] 29118: [discriminator loss: 0.484737, acc: 0.773438] [adversarial loss: 1.632155, acc: 0.156250] 29119: [discriminator loss: 0.535325, acc: 0.742188] [adversarial loss: 1.092413, acc: 0.375000] 29120: [discriminator loss: 0.526640, acc: 0.703125] [adversarial loss: 0.999732, acc: 0.437500] 29121: [discriminator loss: 0.509983, acc: 0.710938] [adversarial loss: 1.278442, acc: 0.234375] 29122: [discriminator loss: 0.524333, acc: 0.734375] [adversarial loss: 0.944783, acc: 0.468750] 29123: [discriminator loss: 0.523426, acc: 0.765625] [adversarial loss: 1.544538, acc: 0.093750] 29124: [discriminator loss: 0.634369, acc: 0.656250] [adversarial loss: 0.847694, acc: 0.546875] 29125: [discriminator loss: 0.528394, acc: 0.750000] [adversarial loss: 1.839914, acc: 0.187500] 29126: [discriminator loss: 0.578099, acc: 0.718750] [adversarial loss: 1.007850, acc: 0.437500] 29127: [discriminator loss: 0.637562, acc: 0.671875] [adversarial loss: 1.728797, acc: 0.109375] 29128: [discriminator loss: 0.536200, acc: 0.734375] [adversarial loss: 0.915470, acc: 0.421875] 29129: [discriminator loss: 0.545822, acc: 0.718750] [adversarial loss: 1.606486, acc: 0.140625] 29130: [discriminator loss: 0.564174, acc: 0.703125] [adversarial loss: 1.401205, acc: 0.281250] 29131: [discriminator loss: 0.496224, acc: 0.742188] [adversarial loss: 0.921727, acc: 0.437500] 29132: [discriminator loss: 0.463646, acc: 0.742188] [adversarial loss: 1.447023, acc: 0.187500] 29133: [discriminator loss: 0.494716, acc: 0.750000] [adversarial loss: 1.010119, acc: 0.390625] 29134: [discriminator loss: 0.489056, acc: 0.796875] [adversarial loss: 1.340504, acc: 0.281250] 29135: [discriminator loss: 0.442411, acc: 0.789062] [adversarial loss: 0.931659, acc: 0.453125] 29136: [discriminator loss: 0.541170, acc: 0.781250] [adversarial loss: 0.717930, acc: 0.546875] 29137: [discriminator loss: 0.429613, acc: 0.812500] [adversarial loss: 1.262638, acc: 0.218750] 29138: [discriminator loss: 0.583958, acc: 0.656250] [adversarial loss: 0.705808, acc: 0.531250] 29139: [discriminator loss: 0.441043, acc: 0.796875] [adversarial loss: 1.254824, acc: 0.234375] 29140: [discriminator loss: 0.464810, acc: 0.750000] [adversarial loss: 0.902213, acc: 0.484375] 29141: [discriminator loss: 0.519500, acc: 0.703125] [adversarial loss: 1.587124, acc: 0.109375] 29142: [discriminator loss: 0.505823, acc: 0.695312] [adversarial loss: 0.652902, acc: 0.609375] 29143: [discriminator loss: 0.525813, acc: 0.726562] [adversarial loss: 1.416080, acc: 0.171875] 29144: [discriminator loss: 0.496911, acc: 0.718750] [adversarial loss: 1.010771, acc: 0.484375] 29145: [discriminator loss: 0.463936, acc: 0.765625] [adversarial loss: 1.515317, acc: 0.093750] 29146: [discriminator loss: 0.485953, acc: 0.757812] [adversarial loss: 0.908194, acc: 0.453125] 29147: [discriminator loss: 0.535292, acc: 0.726562] [adversarial loss: 1.343786, acc: 0.265625] 29148: [discriminator loss: 0.440432, acc: 0.773438] [adversarial loss: 0.904447, acc: 0.453125] 29149: [discriminator loss: 0.537219, acc: 0.703125] [adversarial loss: 1.361124, acc: 0.140625] 29150: [discriminator loss: 0.515545, acc: 0.742188] [adversarial loss: 0.962050, acc: 0.453125] 29151: [discriminator loss: 0.446296, acc: 0.796875] [adversarial loss: 0.910798, acc: 0.484375] 29152: [discriminator loss: 0.581418, acc: 0.671875] [adversarial loss: 1.088417, acc: 0.328125] 29153: [discriminator loss: 0.489137, acc: 0.734375] [adversarial loss: 1.556884, acc: 0.156250] 29154: [discriminator loss: 0.523551, acc: 0.703125] [adversarial loss: 0.984128, acc: 0.515625] 29155: [discriminator loss: 0.565797, acc: 0.695312] [adversarial loss: 1.680922, acc: 0.156250] 29156: [discriminator loss: 0.509100, acc: 0.734375] [adversarial loss: 0.881104, acc: 0.421875] 29157: [discriminator loss: 0.538596, acc: 0.734375] [adversarial loss: 1.565516, acc: 0.109375] 29158: [discriminator loss: 0.509337, acc: 0.750000] [adversarial loss: 0.935224, acc: 0.375000] 29159: [discriminator loss: 0.582151, acc: 0.734375] [adversarial loss: 1.542744, acc: 0.140625] 29160: [discriminator loss: 0.571639, acc: 0.671875] [adversarial loss: 0.941967, acc: 0.421875] 29161: [discriminator loss: 0.500863, acc: 0.773438] [adversarial loss: 1.387377, acc: 0.234375] 29162: [discriminator loss: 0.555524, acc: 0.703125] [adversarial loss: 0.885803, acc: 0.406250] 29163: [discriminator loss: 0.547942, acc: 0.710938] [adversarial loss: 1.659057, acc: 0.125000] 29164: [discriminator loss: 0.602846, acc: 0.664062] [adversarial loss: 1.065354, acc: 0.375000] 29165: [discriminator loss: 0.567896, acc: 0.648438] [adversarial loss: 1.488320, acc: 0.109375] 29166: [discriminator loss: 0.515064, acc: 0.765625] [adversarial loss: 1.236561, acc: 0.203125] 29167: [discriminator loss: 0.528509, acc: 0.796875] [adversarial loss: 1.230775, acc: 0.265625] 29168: [discriminator loss: 0.505770, acc: 0.710938] [adversarial loss: 1.412858, acc: 0.203125] 29169: [discriminator loss: 0.503643, acc: 0.726562] [adversarial loss: 1.053291, acc: 0.312500] 29170: [discriminator loss: 0.545815, acc: 0.687500] [adversarial loss: 1.157485, acc: 0.296875] 29171: [discriminator loss: 0.514608, acc: 0.781250] [adversarial loss: 0.976510, acc: 0.359375] 29172: [discriminator loss: 0.494837, acc: 0.750000] [adversarial loss: 1.712624, acc: 0.125000] 29173: [discriminator loss: 0.579701, acc: 0.703125] [adversarial loss: 0.819003, acc: 0.546875] 29174: [discriminator loss: 0.579916, acc: 0.671875] [adversarial loss: 1.706967, acc: 0.140625] 29175: [discriminator loss: 0.494054, acc: 0.757812] [adversarial loss: 1.212860, acc: 0.265625] 29176: [discriminator loss: 0.499018, acc: 0.750000] [adversarial loss: 1.351793, acc: 0.171875] 29177: [discriminator loss: 0.499346, acc: 0.757812] [adversarial loss: 1.332561, acc: 0.218750] 29178: [discriminator loss: 0.530575, acc: 0.718750] [adversarial loss: 1.248412, acc: 0.234375] 29179: [discriminator loss: 0.504584, acc: 0.726562] [adversarial loss: 1.439479, acc: 0.203125] 29180: [discriminator loss: 0.473553, acc: 0.812500] [adversarial loss: 1.325569, acc: 0.140625] 29181: [discriminator loss: 0.583320, acc: 0.671875] [adversarial loss: 1.219898, acc: 0.171875] 29182: [discriminator loss: 0.503687, acc: 0.796875] [adversarial loss: 1.300001, acc: 0.250000] 29183: [discriminator loss: 0.508756, acc: 0.734375] [adversarial loss: 1.526157, acc: 0.140625] 29184: [discriminator loss: 0.524376, acc: 0.757812] [adversarial loss: 1.390865, acc: 0.203125] 29185: [discriminator loss: 0.497719, acc: 0.804688] [adversarial loss: 1.526255, acc: 0.171875] 29186: [discriminator loss: 0.532733, acc: 0.726562] [adversarial loss: 1.008272, acc: 0.421875] 29187: [discriminator loss: 0.531937, acc: 0.750000] [adversarial loss: 1.247850, acc: 0.187500] 29188: [discriminator loss: 0.454758, acc: 0.843750] [adversarial loss: 1.088279, acc: 0.343750] 29189: [discriminator loss: 0.591027, acc: 0.695312] [adversarial loss: 1.039939, acc: 0.406250] 29190: [discriminator loss: 0.558905, acc: 0.750000] [adversarial loss: 1.435558, acc: 0.250000] 29191: [discriminator loss: 0.495701, acc: 0.734375] [adversarial loss: 1.260537, acc: 0.250000] 29192: [discriminator loss: 0.403139, acc: 0.820312] [adversarial loss: 0.869645, acc: 0.515625] 29193: [discriminator loss: 0.513351, acc: 0.742188] [adversarial loss: 1.577692, acc: 0.125000] 29194: [discriminator loss: 0.525747, acc: 0.750000] [adversarial loss: 0.977930, acc: 0.390625] 29195: [discriminator loss: 0.495210, acc: 0.734375] [adversarial loss: 1.747067, acc: 0.125000] 29196: [discriminator loss: 0.652936, acc: 0.625000] [adversarial loss: 0.522312, acc: 0.796875] 29197: [discriminator loss: 0.784663, acc: 0.648438] [adversarial loss: 2.013811, acc: 0.062500] 29198: [discriminator loss: 0.616134, acc: 0.648438] [adversarial loss: 1.076070, acc: 0.281250] 29199: [discriminator loss: 0.498536, acc: 0.757812] [adversarial loss: 1.573338, acc: 0.062500] 29200: [discriminator loss: 0.607166, acc: 0.625000] [adversarial loss: 1.113881, acc: 0.375000] 29201: [discriminator loss: 0.527199, acc: 0.718750] [adversarial loss: 1.158589, acc: 0.312500] 29202: [discriminator loss: 0.544791, acc: 0.687500] [adversarial loss: 1.267434, acc: 0.281250] 29203: [discriminator loss: 0.484408, acc: 0.750000] [adversarial loss: 1.141558, acc: 0.375000] 29204: [discriminator loss: 0.475852, acc: 0.773438] [adversarial loss: 1.643903, acc: 0.156250] 29205: [discriminator loss: 0.513305, acc: 0.734375] [adversarial loss: 1.074619, acc: 0.390625] 29206: [discriminator loss: 0.497257, acc: 0.781250] [adversarial loss: 1.236727, acc: 0.296875] 29207: [discriminator loss: 0.538255, acc: 0.726562] [adversarial loss: 1.113390, acc: 0.390625] 29208: [discriminator loss: 0.491952, acc: 0.789062] [adversarial loss: 1.077698, acc: 0.343750] 29209: [discriminator loss: 0.536231, acc: 0.703125] [adversarial loss: 1.691507, acc: 0.156250] 29210: [discriminator loss: 0.557546, acc: 0.695312] [adversarial loss: 1.269969, acc: 0.250000] 29211: [discriminator loss: 0.453559, acc: 0.804688] [adversarial loss: 1.329736, acc: 0.218750] 29212: [discriminator loss: 0.488359, acc: 0.742188] [adversarial loss: 0.933753, acc: 0.390625] 29213: [discriminator loss: 0.505530, acc: 0.773438] [adversarial loss: 1.563097, acc: 0.140625] 29214: [discriminator loss: 0.559408, acc: 0.726562] [adversarial loss: 0.975067, acc: 0.359375] 29215: [discriminator loss: 0.498285, acc: 0.742188] [adversarial loss: 1.393892, acc: 0.187500] 29216: [discriminator loss: 0.501511, acc: 0.750000] [adversarial loss: 1.553041, acc: 0.171875] 29217: [discriminator loss: 0.507117, acc: 0.671875] [adversarial loss: 1.043056, acc: 0.375000] 29218: [discriminator loss: 0.442006, acc: 0.835938] [adversarial loss: 1.128661, acc: 0.312500] 29219: [discriminator loss: 0.468546, acc: 0.726562] [adversarial loss: 1.457205, acc: 0.187500] 29220: [discriminator loss: 0.447510, acc: 0.765625] [adversarial loss: 0.898965, acc: 0.468750] 29221: [discriminator loss: 0.536354, acc: 0.679688] [adversarial loss: 1.355197, acc: 0.156250] 29222: [discriminator loss: 0.563230, acc: 0.671875] [adversarial loss: 1.227993, acc: 0.328125] 29223: [discriminator loss: 0.531123, acc: 0.718750] [adversarial loss: 1.220447, acc: 0.234375] 29224: [discriminator loss: 0.516170, acc: 0.742188] [adversarial loss: 1.481489, acc: 0.156250] 29225: [discriminator loss: 0.558828, acc: 0.718750] [adversarial loss: 1.308755, acc: 0.234375] 29226: [discriminator loss: 0.537707, acc: 0.703125] [adversarial loss: 1.606836, acc: 0.187500] 29227: [discriminator loss: 0.584961, acc: 0.679688] [adversarial loss: 0.722648, acc: 0.578125] 29228: [discriminator loss: 0.540583, acc: 0.695312] [adversarial loss: 1.953045, acc: 0.015625] 29229: [discriminator loss: 0.628281, acc: 0.640625] [adversarial loss: 0.753569, acc: 0.546875] 29230: [discriminator loss: 0.575085, acc: 0.687500] [adversarial loss: 1.523103, acc: 0.125000] 29231: [discriminator loss: 0.509900, acc: 0.734375] [adversarial loss: 0.931154, acc: 0.390625] 29232: [discriminator loss: 0.535804, acc: 0.773438] [adversarial loss: 1.396486, acc: 0.187500] 29233: [discriminator loss: 0.559652, acc: 0.679688] [adversarial loss: 1.082258, acc: 0.343750] 29234: [discriminator loss: 0.509624, acc: 0.734375] [adversarial loss: 1.593081, acc: 0.125000] 29235: [discriminator loss: 0.527067, acc: 0.765625] [adversarial loss: 1.132684, acc: 0.406250] 29236: [discriminator loss: 0.529446, acc: 0.742188] [adversarial loss: 1.431045, acc: 0.234375] 29237: [discriminator loss: 0.559895, acc: 0.726562] [adversarial loss: 1.054887, acc: 0.390625] 29238: [discriminator loss: 0.470092, acc: 0.773438] [adversarial loss: 1.254206, acc: 0.234375] 29239: [discriminator loss: 0.542551, acc: 0.679688] [adversarial loss: 0.886980, acc: 0.390625] 29240: [discriminator loss: 0.458188, acc: 0.789062] [adversarial loss: 1.285560, acc: 0.218750] 29241: [discriminator loss: 0.478490, acc: 0.804688] [adversarial loss: 1.115568, acc: 0.312500] 29242: [discriminator loss: 0.560834, acc: 0.695312] [adversarial loss: 1.345449, acc: 0.156250] 29243: [discriminator loss: 0.505451, acc: 0.718750] [adversarial loss: 1.228994, acc: 0.265625] 29244: [discriminator loss: 0.529402, acc: 0.734375] [adversarial loss: 1.134337, acc: 0.375000] 29245: [discriminator loss: 0.454821, acc: 0.804688] [adversarial loss: 1.630360, acc: 0.140625] 29246: [discriminator loss: 0.467884, acc: 0.796875] [adversarial loss: 0.911588, acc: 0.484375] 29247: [discriminator loss: 0.546522, acc: 0.718750] [adversarial loss: 1.367392, acc: 0.187500] 29248: [discriminator loss: 0.531347, acc: 0.718750] [adversarial loss: 1.007816, acc: 0.343750] 29249: [discriminator loss: 0.443076, acc: 0.804688] [adversarial loss: 1.037216, acc: 0.281250] 29250: [discriminator loss: 0.412721, acc: 0.835938] [adversarial loss: 0.797449, acc: 0.484375] 29251: [discriminator loss: 0.487517, acc: 0.765625] [adversarial loss: 1.377187, acc: 0.203125] 29252: [discriminator loss: 0.571185, acc: 0.718750] [adversarial loss: 0.608893, acc: 0.671875] 29253: [discriminator loss: 0.602935, acc: 0.671875] [adversarial loss: 2.161171, acc: 0.078125] 29254: [discriminator loss: 0.586441, acc: 0.656250] [adversarial loss: 1.078652, acc: 0.343750] 29255: [discriminator loss: 0.543380, acc: 0.742188] [adversarial loss: 1.616587, acc: 0.171875] 29256: [discriminator loss: 0.513917, acc: 0.796875] [adversarial loss: 1.151598, acc: 0.296875] 29257: [discriminator loss: 0.504570, acc: 0.742188] [adversarial loss: 1.644411, acc: 0.125000] 29258: [discriminator loss: 0.511195, acc: 0.726562] [adversarial loss: 1.162505, acc: 0.343750] 29259: [discriminator loss: 0.550698, acc: 0.765625] [adversarial loss: 1.480609, acc: 0.125000] 29260: [discriminator loss: 0.577450, acc: 0.664062] [adversarial loss: 1.004802, acc: 0.468750] 29261: [discriminator loss: 0.598459, acc: 0.679688] [adversarial loss: 1.468035, acc: 0.156250] 29262: [discriminator loss: 0.571183, acc: 0.664062] [adversarial loss: 1.011514, acc: 0.375000] 29263: [discriminator loss: 0.539188, acc: 0.718750] [adversarial loss: 1.383436, acc: 0.187500] 29264: [discriminator loss: 0.503486, acc: 0.718750] [adversarial loss: 1.045903, acc: 0.375000] 29265: [discriminator loss: 0.486059, acc: 0.765625] [adversarial loss: 1.317003, acc: 0.203125] 29266: [discriminator loss: 0.561025, acc: 0.703125] [adversarial loss: 1.166490, acc: 0.296875] 29267: [discriminator loss: 0.525028, acc: 0.734375] [adversarial loss: 1.104916, acc: 0.218750] 29268: [discriminator loss: 0.515120, acc: 0.742188] [adversarial loss: 1.378053, acc: 0.140625] 29269: [discriminator loss: 0.640241, acc: 0.671875] [adversarial loss: 1.429988, acc: 0.265625] 29270: [discriminator loss: 0.541180, acc: 0.679688] [adversarial loss: 1.446968, acc: 0.140625] 29271: [discriminator loss: 0.521514, acc: 0.742188] [adversarial loss: 1.037165, acc: 0.343750] 29272: [discriminator loss: 0.488741, acc: 0.789062] [adversarial loss: 1.154314, acc: 0.218750] 29273: [discriminator loss: 0.639415, acc: 0.617188] [adversarial loss: 1.197897, acc: 0.250000] 29274: [discriminator loss: 0.468715, acc: 0.796875] [adversarial loss: 1.058126, acc: 0.359375] 29275: [discriminator loss: 0.527689, acc: 0.734375] [adversarial loss: 1.496697, acc: 0.109375] 29276: [discriminator loss: 0.519969, acc: 0.718750] [adversarial loss: 1.003180, acc: 0.406250] 29277: [discriminator loss: 0.565768, acc: 0.695312] [adversarial loss: 1.231087, acc: 0.281250] 29278: [discriminator loss: 0.552160, acc: 0.671875] [adversarial loss: 1.643637, acc: 0.093750] 29279: [discriminator loss: 0.552286, acc: 0.703125] [adversarial loss: 0.945183, acc: 0.421875] 29280: [discriminator loss: 0.538601, acc: 0.742188] [adversarial loss: 1.723969, acc: 0.062500] 29281: [discriminator loss: 0.546179, acc: 0.726562] [adversarial loss: 0.915081, acc: 0.500000] 29282: [discriminator loss: 0.483259, acc: 0.773438] [adversarial loss: 1.567000, acc: 0.125000] 29283: [discriminator loss: 0.552573, acc: 0.710938] [adversarial loss: 0.913794, acc: 0.468750] 29284: [discriminator loss: 0.530134, acc: 0.703125] [adversarial loss: 1.463546, acc: 0.187500] 29285: [discriminator loss: 0.576992, acc: 0.695312] [adversarial loss: 1.060805, acc: 0.390625] 29286: [discriminator loss: 0.435380, acc: 0.796875] [adversarial loss: 1.025704, acc: 0.343750] 29287: [discriminator loss: 0.467622, acc: 0.781250] [adversarial loss: 1.332347, acc: 0.156250] 29288: [discriminator loss: 0.467871, acc: 0.789062] [adversarial loss: 1.425275, acc: 0.203125] 29289: [discriminator loss: 0.525580, acc: 0.734375] [adversarial loss: 1.160209, acc: 0.250000] 29290: [discriminator loss: 0.521280, acc: 0.726562] [adversarial loss: 1.245913, acc: 0.296875] 29291: [discriminator loss: 0.459721, acc: 0.765625] [adversarial loss: 1.209199, acc: 0.359375] 29292: [discriminator loss: 0.493319, acc: 0.781250] [adversarial loss: 1.177602, acc: 0.312500] 29293: [discriminator loss: 0.483813, acc: 0.757812] [adversarial loss: 1.707258, acc: 0.156250] 29294: [discriminator loss: 0.546699, acc: 0.664062] [adversarial loss: 1.206165, acc: 0.281250] 29295: [discriminator loss: 0.565453, acc: 0.671875] [adversarial loss: 1.417287, acc: 0.171875] 29296: [discriminator loss: 0.493573, acc: 0.781250] [adversarial loss: 1.183554, acc: 0.375000] 29297: [discriminator loss: 0.522895, acc: 0.773438] [adversarial loss: 0.996350, acc: 0.390625] 29298: [discriminator loss: 0.470601, acc: 0.804688] [adversarial loss: 1.712354, acc: 0.140625] 29299: [discriminator loss: 0.469381, acc: 0.718750] [adversarial loss: 0.883891, acc: 0.484375] 29300: [discriminator loss: 0.584595, acc: 0.710938] [adversarial loss: 2.006136, acc: 0.109375] 29301: [discriminator loss: 0.561109, acc: 0.671875] [adversarial loss: 0.904296, acc: 0.500000] 29302: [discriminator loss: 0.544653, acc: 0.687500] [adversarial loss: 1.714219, acc: 0.156250] 29303: [discriminator loss: 0.588036, acc: 0.687500] [adversarial loss: 0.796672, acc: 0.437500] 29304: [discriminator loss: 0.565796, acc: 0.710938] [adversarial loss: 1.427445, acc: 0.250000] 29305: [discriminator loss: 0.477843, acc: 0.710938] [adversarial loss: 1.267927, acc: 0.203125] 29306: [discriminator loss: 0.533866, acc: 0.687500] [adversarial loss: 1.356283, acc: 0.250000] 29307: [discriminator loss: 0.545721, acc: 0.734375] [adversarial loss: 1.263227, acc: 0.265625] 29308: [discriminator loss: 0.492542, acc: 0.734375] [adversarial loss: 1.026719, acc: 0.312500] 29309: [discriminator loss: 0.516730, acc: 0.718750] [adversarial loss: 1.368733, acc: 0.218750] 29310: [discriminator loss: 0.556696, acc: 0.710938] [adversarial loss: 1.244400, acc: 0.218750] 29311: [discriminator loss: 0.451069, acc: 0.765625] [adversarial loss: 1.208648, acc: 0.328125] 29312: [discriminator loss: 0.544651, acc: 0.757812] [adversarial loss: 1.585426, acc: 0.125000] 29313: [discriminator loss: 0.541144, acc: 0.718750] [adversarial loss: 1.335330, acc: 0.281250] 29314: [discriminator loss: 0.537324, acc: 0.750000] [adversarial loss: 1.564752, acc: 0.187500] 29315: [discriminator loss: 0.463501, acc: 0.742188] [adversarial loss: 0.997892, acc: 0.375000] 29316: [discriminator loss: 0.572747, acc: 0.718750] [adversarial loss: 1.729004, acc: 0.078125] 29317: [discriminator loss: 0.541980, acc: 0.679688] [adversarial loss: 1.050966, acc: 0.421875] 29318: [discriminator loss: 0.498828, acc: 0.765625] [adversarial loss: 1.683674, acc: 0.031250] 29319: [discriminator loss: 0.495996, acc: 0.734375] [adversarial loss: 1.158205, acc: 0.328125] 29320: [discriminator loss: 0.585153, acc: 0.710938] [adversarial loss: 1.087227, acc: 0.328125] 29321: [discriminator loss: 0.589442, acc: 0.726562] [adversarial loss: 1.651055, acc: 0.140625] 29322: [discriminator loss: 0.511377, acc: 0.703125] [adversarial loss: 0.893759, acc: 0.437500] 29323: [discriminator loss: 0.485685, acc: 0.765625] [adversarial loss: 1.750504, acc: 0.140625] 29324: [discriminator loss: 0.580520, acc: 0.710938] [adversarial loss: 0.950643, acc: 0.421875] 29325: [discriminator loss: 0.541400, acc: 0.726562] [adversarial loss: 1.607012, acc: 0.171875] 29326: [discriminator loss: 0.560128, acc: 0.648438] [adversarial loss: 0.816816, acc: 0.484375] 29327: [discriminator loss: 0.563213, acc: 0.742188] [adversarial loss: 1.493747, acc: 0.062500] 29328: [discriminator loss: 0.517339, acc: 0.757812] [adversarial loss: 1.062951, acc: 0.359375] 29329: [discriminator loss: 0.519981, acc: 0.734375] [adversarial loss: 1.528589, acc: 0.203125] 29330: [discriminator loss: 0.537521, acc: 0.718750] [adversarial loss: 0.946231, acc: 0.484375] 29331: [discriminator loss: 0.520058, acc: 0.750000] [adversarial loss: 1.272722, acc: 0.218750] 29332: [discriminator loss: 0.512268, acc: 0.750000] [adversarial loss: 0.851631, acc: 0.484375] 29333: [discriminator loss: 0.562880, acc: 0.679688] [adversarial loss: 1.719224, acc: 0.109375] 29334: [discriminator loss: 0.551423, acc: 0.679688] [adversarial loss: 0.943868, acc: 0.437500] 29335: [discriminator loss: 0.582684, acc: 0.695312] [adversarial loss: 1.737688, acc: 0.093750] 29336: [discriminator loss: 0.528806, acc: 0.742188] [adversarial loss: 1.127747, acc: 0.312500] 29337: [discriminator loss: 0.482401, acc: 0.742188] [adversarial loss: 1.342002, acc: 0.156250] 29338: [discriminator loss: 0.474068, acc: 0.789062] [adversarial loss: 1.376638, acc: 0.187500] 29339: [discriminator loss: 0.514943, acc: 0.687500] [adversarial loss: 1.116373, acc: 0.328125] 29340: [discriminator loss: 0.522134, acc: 0.718750] [adversarial loss: 1.187100, acc: 0.281250] 29341: [discriminator loss: 0.589280, acc: 0.710938] [adversarial loss: 1.548871, acc: 0.140625] 29342: [discriminator loss: 0.466387, acc: 0.796875] [adversarial loss: 0.777139, acc: 0.500000] 29343: [discriminator loss: 0.575947, acc: 0.695312] [adversarial loss: 1.607683, acc: 0.093750] 29344: [discriminator loss: 0.555592, acc: 0.710938] [adversarial loss: 0.867651, acc: 0.437500] 29345: [discriminator loss: 0.572027, acc: 0.703125] [adversarial loss: 1.558059, acc: 0.140625] 29346: [discriminator loss: 0.547390, acc: 0.671875] [adversarial loss: 1.216363, acc: 0.281250] 29347: [discriminator loss: 0.456699, acc: 0.781250] [adversarial loss: 1.132414, acc: 0.343750] 29348: [discriminator loss: 0.498212, acc: 0.781250] [adversarial loss: 1.539303, acc: 0.265625] 29349: [discriminator loss: 0.524389, acc: 0.726562] [adversarial loss: 1.064316, acc: 0.359375] 29350: [discriminator loss: 0.658521, acc: 0.648438] [adversarial loss: 1.949418, acc: 0.031250] 29351: [discriminator loss: 0.612682, acc: 0.656250] [adversarial loss: 1.050487, acc: 0.375000] 29352: [discriminator loss: 0.563564, acc: 0.703125] [adversarial loss: 1.148528, acc: 0.281250] 29353: [discriminator loss: 0.465670, acc: 0.765625] [adversarial loss: 1.376027, acc: 0.156250] 29354: [discriminator loss: 0.548164, acc: 0.734375] [adversarial loss: 1.003922, acc: 0.328125] 29355: [discriminator loss: 0.565432, acc: 0.656250] [adversarial loss: 1.535866, acc: 0.156250] 29356: [discriminator loss: 0.497519, acc: 0.726562] [adversarial loss: 1.458890, acc: 0.125000] 29357: [discriminator loss: 0.448730, acc: 0.804688] [adversarial loss: 1.305132, acc: 0.234375] 29358: [discriminator loss: 0.559845, acc: 0.765625] [adversarial loss: 0.887939, acc: 0.546875] 29359: [discriminator loss: 0.447134, acc: 0.789062] [adversarial loss: 1.241085, acc: 0.218750] 29360: [discriminator loss: 0.481694, acc: 0.773438] [adversarial loss: 0.901005, acc: 0.531250] 29361: [discriminator loss: 0.504061, acc: 0.796875] [adversarial loss: 1.242200, acc: 0.234375] 29362: [discriminator loss: 0.506097, acc: 0.757812] [adversarial loss: 1.602677, acc: 0.093750] 29363: [discriminator loss: 0.537946, acc: 0.710938] [adversarial loss: 1.078715, acc: 0.343750] 29364: [discriminator loss: 0.491859, acc: 0.765625] [adversarial loss: 0.983705, acc: 0.359375] 29365: [discriminator loss: 0.467671, acc: 0.773438] [adversarial loss: 1.349131, acc: 0.171875] 29366: [discriminator loss: 0.560609, acc: 0.726562] [adversarial loss: 0.898063, acc: 0.484375] 29367: [discriminator loss: 0.567666, acc: 0.718750] [adversarial loss: 1.655191, acc: 0.078125] 29368: [discriminator loss: 0.607780, acc: 0.695312] [adversarial loss: 0.815818, acc: 0.515625] 29369: [discriminator loss: 0.513444, acc: 0.710938] [adversarial loss: 1.549623, acc: 0.109375] 29370: [discriminator loss: 0.562976, acc: 0.671875] [adversarial loss: 0.820939, acc: 0.578125] 29371: [discriminator loss: 0.614647, acc: 0.679688] [adversarial loss: 1.383896, acc: 0.140625] 29372: [discriminator loss: 0.493761, acc: 0.750000] [adversarial loss: 0.954099, acc: 0.421875] 29373: [discriminator loss: 0.477748, acc: 0.765625] [adversarial loss: 1.234126, acc: 0.218750] 29374: [discriminator loss: 0.488564, acc: 0.796875] [adversarial loss: 0.835422, acc: 0.562500] 29375: [discriminator loss: 0.495164, acc: 0.765625] [adversarial loss: 0.942491, acc: 0.500000] 29376: [discriminator loss: 0.578139, acc: 0.703125] [adversarial loss: 1.119881, acc: 0.406250] 29377: [discriminator loss: 0.497235, acc: 0.789062] [adversarial loss: 1.230402, acc: 0.234375] 29378: [discriminator loss: 0.505967, acc: 0.781250] [adversarial loss: 1.123036, acc: 0.265625] 29379: [discriminator loss: 0.535223, acc: 0.703125] [adversarial loss: 0.944600, acc: 0.468750] 29380: [discriminator loss: 0.508497, acc: 0.742188] [adversarial loss: 1.366323, acc: 0.234375] 29381: [discriminator loss: 0.514057, acc: 0.734375] [adversarial loss: 0.924746, acc: 0.328125] 29382: [discriminator loss: 0.513262, acc: 0.750000] [adversarial loss: 1.164320, acc: 0.296875] 29383: [discriminator loss: 0.523125, acc: 0.742188] [adversarial loss: 1.031530, acc: 0.390625] 29384: [discriminator loss: 0.591755, acc: 0.648438] [adversarial loss: 1.265063, acc: 0.265625] 29385: [discriminator loss: 0.542760, acc: 0.765625] [adversarial loss: 0.827087, acc: 0.546875] 29386: [discriminator loss: 0.519055, acc: 0.734375] [adversarial loss: 1.495292, acc: 0.156250] 29387: [discriminator loss: 0.512392, acc: 0.734375] [adversarial loss: 0.962621, acc: 0.406250] 29388: [discriminator loss: 0.559603, acc: 0.742188] [adversarial loss: 1.971491, acc: 0.078125] 29389: [discriminator loss: 0.614457, acc: 0.648438] [adversarial loss: 0.886875, acc: 0.421875] 29390: [discriminator loss: 0.484050, acc: 0.757812] [adversarial loss: 1.780228, acc: 0.062500] 29391: [discriminator loss: 0.556805, acc: 0.703125] [adversarial loss: 1.038463, acc: 0.390625] 29392: [discriminator loss: 0.512094, acc: 0.773438] [adversarial loss: 1.719319, acc: 0.109375] 29393: [discriminator loss: 0.579416, acc: 0.695312] [adversarial loss: 0.887780, acc: 0.562500] 29394: [discriminator loss: 0.475843, acc: 0.781250] [adversarial loss: 1.262596, acc: 0.234375] 29395: [discriminator loss: 0.562409, acc: 0.703125] [adversarial loss: 0.969829, acc: 0.406250] 29396: [discriminator loss: 0.499180, acc: 0.789062] [adversarial loss: 1.198417, acc: 0.265625] 29397: [discriminator loss: 0.514374, acc: 0.671875] [adversarial loss: 1.113243, acc: 0.437500] 29398: [discriminator loss: 0.531653, acc: 0.710938] [adversarial loss: 1.771149, acc: 0.125000] 29399: [discriminator loss: 0.465246, acc: 0.773438] [adversarial loss: 1.202052, acc: 0.234375] 29400: [discriminator loss: 0.469275, acc: 0.773438] [adversarial loss: 1.304025, acc: 0.234375] 29401: [discriminator loss: 0.523865, acc: 0.718750] [adversarial loss: 1.277164, acc: 0.296875] 29402: [discriminator loss: 0.530581, acc: 0.765625] [adversarial loss: 1.368621, acc: 0.250000] 29403: [discriminator loss: 0.615084, acc: 0.664062] [adversarial loss: 0.861441, acc: 0.468750] 29404: [discriminator loss: 0.544938, acc: 0.703125] [adversarial loss: 1.824788, acc: 0.078125] 29405: [discriminator loss: 0.524590, acc: 0.679688] [adversarial loss: 0.840962, acc: 0.484375] 29406: [discriminator loss: 0.540843, acc: 0.765625] [adversarial loss: 1.360127, acc: 0.218750] 29407: [discriminator loss: 0.567576, acc: 0.648438] [adversarial loss: 0.686438, acc: 0.562500] 29408: [discriminator loss: 0.599662, acc: 0.718750] [adversarial loss: 1.559248, acc: 0.171875] 29409: [discriminator loss: 0.571400, acc: 0.703125] [adversarial loss: 1.000267, acc: 0.390625] 29410: [discriminator loss: 0.504039, acc: 0.710938] [adversarial loss: 1.171296, acc: 0.375000] 29411: [discriminator loss: 0.506650, acc: 0.726562] [adversarial loss: 1.080465, acc: 0.359375] 29412: [discriminator loss: 0.526377, acc: 0.718750] [adversarial loss: 1.206287, acc: 0.359375] 29413: [discriminator loss: 0.544649, acc: 0.726562] [adversarial loss: 1.257099, acc: 0.218750] 29414: [discriminator loss: 0.489077, acc: 0.773438] [adversarial loss: 0.989544, acc: 0.390625] 29415: [discriminator loss: 0.464056, acc: 0.757812] [adversarial loss: 1.225875, acc: 0.281250] 29416: [discriminator loss: 0.547259, acc: 0.750000] [adversarial loss: 1.683223, acc: 0.109375] 29417: [discriminator loss: 0.519154, acc: 0.703125] [adversarial loss: 1.198468, acc: 0.359375] 29418: [discriminator loss: 0.530187, acc: 0.710938] [adversarial loss: 1.227576, acc: 0.203125] 29419: [discriminator loss: 0.421672, acc: 0.820312] [adversarial loss: 1.282453, acc: 0.265625] 29420: [discriminator loss: 0.476307, acc: 0.773438] [adversarial loss: 1.001904, acc: 0.359375] 29421: [discriminator loss: 0.467486, acc: 0.812500] [adversarial loss: 1.211376, acc: 0.328125] 29422: [discriminator loss: 0.452103, acc: 0.781250] [adversarial loss: 1.369133, acc: 0.203125] 29423: [discriminator loss: 0.587170, acc: 0.695312] [adversarial loss: 0.878121, acc: 0.515625] 29424: [discriminator loss: 0.519674, acc: 0.718750] [adversarial loss: 1.470666, acc: 0.203125] 29425: [discriminator loss: 0.526503, acc: 0.710938] [adversarial loss: 0.876313, acc: 0.546875] 29426: [discriminator loss: 0.525237, acc: 0.734375] [adversarial loss: 1.298337, acc: 0.203125] 29427: [discriminator loss: 0.548841, acc: 0.671875] [adversarial loss: 1.063973, acc: 0.281250] 29428: [discriminator loss: 0.561719, acc: 0.695312] [adversarial loss: 1.633583, acc: 0.125000] 29429: [discriminator loss: 0.493558, acc: 0.765625] [adversarial loss: 0.785880, acc: 0.531250] 29430: [discriminator loss: 0.567668, acc: 0.703125] [adversarial loss: 1.504622, acc: 0.078125] 29431: [discriminator loss: 0.528794, acc: 0.750000] [adversarial loss: 1.103661, acc: 0.296875] 29432: [discriminator loss: 0.601428, acc: 0.695312] [adversarial loss: 1.136971, acc: 0.359375] 29433: [discriminator loss: 0.477052, acc: 0.757812] [adversarial loss: 1.336798, acc: 0.265625] 29434: [discriminator loss: 0.529473, acc: 0.734375] [adversarial loss: 1.118250, acc: 0.406250] 29435: [discriminator loss: 0.472262, acc: 0.750000] [adversarial loss: 1.824283, acc: 0.171875] 29436: [discriminator loss: 0.604785, acc: 0.656250] [adversarial loss: 0.839384, acc: 0.468750] 29437: [discriminator loss: 0.605076, acc: 0.656250] [adversarial loss: 1.653806, acc: 0.093750] 29438: [discriminator loss: 0.533251, acc: 0.703125] [adversarial loss: 0.652709, acc: 0.609375] 29439: [discriminator loss: 0.535445, acc: 0.687500] [adversarial loss: 1.749435, acc: 0.109375] 29440: [discriminator loss: 0.561874, acc: 0.718750] [adversarial loss: 0.803584, acc: 0.500000] 29441: [discriminator loss: 0.623262, acc: 0.671875] [adversarial loss: 1.467386, acc: 0.093750] 29442: [discriminator loss: 0.592476, acc: 0.671875] [adversarial loss: 1.178659, acc: 0.265625] 29443: [discriminator loss: 0.574548, acc: 0.703125] [adversarial loss: 1.573682, acc: 0.078125] 29444: [discriminator loss: 0.589383, acc: 0.648438] [adversarial loss: 1.050354, acc: 0.296875] 29445: [discriminator loss: 0.533245, acc: 0.710938] [adversarial loss: 1.538896, acc: 0.156250] 29446: [discriminator loss: 0.555992, acc: 0.695312] [adversarial loss: 0.998721, acc: 0.328125] 29447: [discriminator loss: 0.477692, acc: 0.750000] [adversarial loss: 1.391346, acc: 0.203125] 29448: [discriminator loss: 0.511120, acc: 0.726562] [adversarial loss: 0.817933, acc: 0.546875] 29449: [discriminator loss: 0.514052, acc: 0.757812] [adversarial loss: 1.493307, acc: 0.078125] 29450: [discriminator loss: 0.561962, acc: 0.679688] [adversarial loss: 1.027036, acc: 0.343750] 29451: [discriminator loss: 0.492785, acc: 0.750000] [adversarial loss: 1.588423, acc: 0.203125] 29452: [discriminator loss: 0.543398, acc: 0.703125] [adversarial loss: 0.963243, acc: 0.437500] 29453: [discriminator loss: 0.550716, acc: 0.742188] [adversarial loss: 1.464268, acc: 0.093750] 29454: [discriminator loss: 0.567616, acc: 0.656250] [adversarial loss: 1.095775, acc: 0.343750] 29455: [discriminator loss: 0.578361, acc: 0.742188] [adversarial loss: 1.522398, acc: 0.156250] 29456: [discriminator loss: 0.564230, acc: 0.703125] [adversarial loss: 1.067504, acc: 0.390625] 29457: [discriminator loss: 0.510222, acc: 0.765625] [adversarial loss: 1.498302, acc: 0.140625] 29458: [discriminator loss: 0.508452, acc: 0.726562] [adversarial loss: 1.084797, acc: 0.375000] 29459: [discriminator loss: 0.509700, acc: 0.726562] [adversarial loss: 1.492881, acc: 0.109375] 29460: [discriminator loss: 0.511582, acc: 0.773438] [adversarial loss: 1.060761, acc: 0.281250] 29461: [discriminator loss: 0.607498, acc: 0.687500] [adversarial loss: 1.564940, acc: 0.109375] 29462: [discriminator loss: 0.494576, acc: 0.804688] [adversarial loss: 0.950745, acc: 0.406250] 29463: [discriminator loss: 0.458940, acc: 0.804688] [adversarial loss: 1.224169, acc: 0.250000] 29464: [discriminator loss: 0.516578, acc: 0.742188] [adversarial loss: 1.108444, acc: 0.281250] 29465: [discriminator loss: 0.458510, acc: 0.796875] [adversarial loss: 1.058150, acc: 0.328125] 29466: [discriminator loss: 0.488521, acc: 0.765625] [adversarial loss: 1.458233, acc: 0.125000] 29467: [discriminator loss: 0.555304, acc: 0.640625] [adversarial loss: 1.233270, acc: 0.312500] 29468: [discriminator loss: 0.446604, acc: 0.820312] [adversarial loss: 1.280542, acc: 0.187500] 29469: [discriminator loss: 0.528677, acc: 0.695312] [adversarial loss: 1.478349, acc: 0.281250] 29470: [discriminator loss: 0.542447, acc: 0.703125] [adversarial loss: 1.057507, acc: 0.421875] 29471: [discriminator loss: 0.588578, acc: 0.695312] [adversarial loss: 1.592293, acc: 0.078125] 29472: [discriminator loss: 0.579581, acc: 0.656250] [adversarial loss: 0.733870, acc: 0.578125] 29473: [discriminator loss: 0.587779, acc: 0.632812] [adversarial loss: 2.093972, acc: 0.062500] 29474: [discriminator loss: 0.581153, acc: 0.710938] [adversarial loss: 0.866844, acc: 0.562500] 29475: [discriminator loss: 0.540463, acc: 0.703125] [adversarial loss: 1.583466, acc: 0.046875] 29476: [discriminator loss: 0.544218, acc: 0.742188] [adversarial loss: 1.240931, acc: 0.265625] 29477: [discriminator loss: 0.492250, acc: 0.750000] [adversarial loss: 1.254894, acc: 0.218750] 29478: [discriminator loss: 0.596724, acc: 0.687500] [adversarial loss: 1.221202, acc: 0.265625] 29479: [discriminator loss: 0.526670, acc: 0.726562] [adversarial loss: 1.074455, acc: 0.265625] 29480: [discriminator loss: 0.499884, acc: 0.718750] [adversarial loss: 0.932587, acc: 0.437500] 29481: [discriminator loss: 0.460661, acc: 0.812500] [adversarial loss: 1.458033, acc: 0.140625] 29482: [discriminator loss: 0.546995, acc: 0.773438] [adversarial loss: 1.306237, acc: 0.187500] 29483: [discriminator loss: 0.451594, acc: 0.781250] [adversarial loss: 1.383508, acc: 0.171875] 29484: [discriminator loss: 0.550845, acc: 0.710938] [adversarial loss: 1.079991, acc: 0.312500] 29485: [discriminator loss: 0.541141, acc: 0.664062] [adversarial loss: 1.639680, acc: 0.093750] 29486: [discriminator loss: 0.554631, acc: 0.734375] [adversarial loss: 0.971616, acc: 0.468750] 29487: [discriminator loss: 0.524722, acc: 0.734375] [adversarial loss: 1.406257, acc: 0.171875] 29488: [discriminator loss: 0.576218, acc: 0.718750] [adversarial loss: 0.764464, acc: 0.562500] 29489: [discriminator loss: 0.543288, acc: 0.726562] [adversarial loss: 1.632031, acc: 0.171875] 29490: [discriminator loss: 0.490591, acc: 0.703125] [adversarial loss: 1.163102, acc: 0.250000] 29491: [discriminator loss: 0.432397, acc: 0.796875] [adversarial loss: 1.470817, acc: 0.234375] 29492: [discriminator loss: 0.505450, acc: 0.710938] [adversarial loss: 1.002777, acc: 0.312500] 29493: [discriminator loss: 0.549914, acc: 0.703125] [adversarial loss: 1.712604, acc: 0.093750] 29494: [discriminator loss: 0.568082, acc: 0.710938] [adversarial loss: 0.910905, acc: 0.468750] 29495: [discriminator loss: 0.541010, acc: 0.687500] [adversarial loss: 1.710663, acc: 0.109375] 29496: [discriminator loss: 0.487634, acc: 0.765625] [adversarial loss: 1.115579, acc: 0.250000] 29497: [discriminator loss: 0.550144, acc: 0.718750] [adversarial loss: 1.528131, acc: 0.156250] 29498: [discriminator loss: 0.533268, acc: 0.742188] [adversarial loss: 1.136923, acc: 0.234375] 29499: [discriminator loss: 0.496512, acc: 0.718750] [adversarial loss: 1.188823, acc: 0.343750] 29500: [discriminator loss: 0.502794, acc: 0.726562] [adversarial loss: 1.530770, acc: 0.140625] 29501: [discriminator loss: 0.492845, acc: 0.781250] [adversarial loss: 1.294432, acc: 0.218750] 29502: [discriminator loss: 0.507212, acc: 0.765625] [adversarial loss: 1.481879, acc: 0.093750] 29503: [discriminator loss: 0.605119, acc: 0.718750] [adversarial loss: 1.077816, acc: 0.359375] 29504: [discriminator loss: 0.469129, acc: 0.812500] [adversarial loss: 1.261584, acc: 0.187500] 29505: [discriminator loss: 0.518753, acc: 0.718750] [adversarial loss: 1.041177, acc: 0.281250] 29506: [discriminator loss: 0.516855, acc: 0.734375] [adversarial loss: 1.474176, acc: 0.046875] 29507: [discriminator loss: 0.544502, acc: 0.734375] [adversarial loss: 1.319593, acc: 0.265625] 29508: [discriminator loss: 0.514108, acc: 0.765625] [adversarial loss: 1.579409, acc: 0.093750] 29509: [discriminator loss: 0.507852, acc: 0.679688] [adversarial loss: 0.955040, acc: 0.437500] 29510: [discriminator loss: 0.558315, acc: 0.718750] [adversarial loss: 1.783200, acc: 0.062500] 29511: [discriminator loss: 0.592973, acc: 0.718750] [adversarial loss: 0.754229, acc: 0.640625] 29512: [discriminator loss: 0.538507, acc: 0.734375] [adversarial loss: 1.677481, acc: 0.156250] 29513: [discriminator loss: 0.516977, acc: 0.726562] [adversarial loss: 1.030646, acc: 0.234375] 29514: [discriminator loss: 0.640092, acc: 0.664062] [adversarial loss: 1.535424, acc: 0.187500] 29515: [discriminator loss: 0.487641, acc: 0.750000] [adversarial loss: 1.111950, acc: 0.375000] 29516: [discriminator loss: 0.501225, acc: 0.710938] [adversarial loss: 1.286992, acc: 0.203125] 29517: [discriminator loss: 0.470671, acc: 0.695312] [adversarial loss: 1.303340, acc: 0.250000] 29518: [discriminator loss: 0.476368, acc: 0.757812] [adversarial loss: 1.271394, acc: 0.250000] 29519: [discriminator loss: 0.548333, acc: 0.726562] [adversarial loss: 1.312482, acc: 0.296875] 29520: [discriminator loss: 0.486190, acc: 0.742188] [adversarial loss: 1.129345, acc: 0.187500] 29521: [discriminator loss: 0.509343, acc: 0.750000] [adversarial loss: 1.161108, acc: 0.328125] 29522: [discriminator loss: 0.484683, acc: 0.812500] [adversarial loss: 1.631153, acc: 0.109375] 29523: [discriminator loss: 0.621451, acc: 0.648438] [adversarial loss: 0.861658, acc: 0.484375] 29524: [discriminator loss: 0.553829, acc: 0.710938] [adversarial loss: 1.790866, acc: 0.078125] 29525: [discriminator loss: 0.621506, acc: 0.671875] [adversarial loss: 0.951212, acc: 0.453125] 29526: [discriminator loss: 0.597535, acc: 0.640625] [adversarial loss: 1.419675, acc: 0.187500] 29527: [discriminator loss: 0.534462, acc: 0.710938] [adversarial loss: 1.069440, acc: 0.265625] 29528: [discriminator loss: 0.473749, acc: 0.773438] [adversarial loss: 1.379752, acc: 0.250000] 29529: [discriminator loss: 0.523627, acc: 0.734375] [adversarial loss: 1.165800, acc: 0.250000] 29530: [discriminator loss: 0.498366, acc: 0.765625] [adversarial loss: 1.219949, acc: 0.250000] 29531: [discriminator loss: 0.488922, acc: 0.789062] [adversarial loss: 1.231864, acc: 0.234375] 29532: [discriminator loss: 0.515630, acc: 0.718750] [adversarial loss: 1.366357, acc: 0.203125] 29533: [discriminator loss: 0.441821, acc: 0.789062] [adversarial loss: 1.068039, acc: 0.312500] 29534: [discriminator loss: 0.530406, acc: 0.742188] [adversarial loss: 1.811482, acc: 0.078125] 29535: [discriminator loss: 0.572779, acc: 0.695312] [adversarial loss: 1.261295, acc: 0.312500] 29536: [discriminator loss: 0.441620, acc: 0.796875] [adversarial loss: 1.523885, acc: 0.187500] 29537: [discriminator loss: 0.391123, acc: 0.843750] [adversarial loss: 1.268082, acc: 0.281250] 29538: [discriminator loss: 0.558239, acc: 0.679688] [adversarial loss: 1.275350, acc: 0.250000] 29539: [discriminator loss: 0.542517, acc: 0.734375] [adversarial loss: 1.114734, acc: 0.312500] 29540: [discriminator loss: 0.469000, acc: 0.765625] [adversarial loss: 1.646158, acc: 0.109375] 29541: [discriminator loss: 0.538301, acc: 0.710938] [adversarial loss: 1.110857, acc: 0.281250] 29542: [discriminator loss: 0.590987, acc: 0.718750] [adversarial loss: 1.564483, acc: 0.203125] 29543: [discriminator loss: 0.486170, acc: 0.757812] [adversarial loss: 0.976337, acc: 0.406250] 29544: [discriminator loss: 0.566660, acc: 0.703125] [adversarial loss: 1.426932, acc: 0.218750] 29545: [discriminator loss: 0.530181, acc: 0.726562] [adversarial loss: 0.990803, acc: 0.406250] 29546: [discriminator loss: 0.544482, acc: 0.718750] [adversarial loss: 1.686217, acc: 0.140625] 29547: [discriminator loss: 0.611237, acc: 0.656250] [adversarial loss: 0.819976, acc: 0.453125] 29548: [discriminator loss: 0.588650, acc: 0.757812] [adversarial loss: 1.488760, acc: 0.125000] 29549: [discriminator loss: 0.561469, acc: 0.695312] [adversarial loss: 0.759265, acc: 0.468750] 29550: [discriminator loss: 0.622975, acc: 0.679688] [adversarial loss: 1.514320, acc: 0.125000] 29551: [discriminator loss: 0.550646, acc: 0.695312] [adversarial loss: 0.834033, acc: 0.531250] 29552: [discriminator loss: 0.530465, acc: 0.734375] [adversarial loss: 1.486560, acc: 0.156250] 29553: [discriminator loss: 0.572563, acc: 0.679688] [adversarial loss: 0.852857, acc: 0.484375] 29554: [discriminator loss: 0.489644, acc: 0.781250] [adversarial loss: 1.310303, acc: 0.250000] 29555: [discriminator loss: 0.619069, acc: 0.687500] [adversarial loss: 1.019639, acc: 0.343750] 29556: [discriminator loss: 0.553045, acc: 0.703125] [adversarial loss: 1.538776, acc: 0.218750] 29557: [discriminator loss: 0.516924, acc: 0.695312] [adversarial loss: 1.321843, acc: 0.156250] 29558: [discriminator loss: 0.459091, acc: 0.796875] [adversarial loss: 1.360592, acc: 0.187500] 29559: [discriminator loss: 0.442577, acc: 0.804688] [adversarial loss: 0.854560, acc: 0.468750] 29560: [discriminator loss: 0.530200, acc: 0.718750] [adversarial loss: 1.170081, acc: 0.218750] 29561: [discriminator loss: 0.519570, acc: 0.750000] [adversarial loss: 1.200529, acc: 0.312500] 29562: [discriminator loss: 0.559294, acc: 0.710938] [adversarial loss: 1.549903, acc: 0.171875] 29563: [discriminator loss: 0.517655, acc: 0.773438] [adversarial loss: 1.062635, acc: 0.390625] 29564: [discriminator loss: 0.510233, acc: 0.750000] [adversarial loss: 1.242159, acc: 0.328125] 29565: [discriminator loss: 0.571706, acc: 0.679688] [adversarial loss: 1.302342, acc: 0.203125] 29566: [discriminator loss: 0.491080, acc: 0.773438] [adversarial loss: 1.128121, acc: 0.187500] 29567: [discriminator loss: 0.654570, acc: 0.609375] [adversarial loss: 1.098889, acc: 0.343750] 29568: [discriminator loss: 0.524412, acc: 0.671875] [adversarial loss: 1.330677, acc: 0.250000] 29569: [discriminator loss: 0.659129, acc: 0.632812] [adversarial loss: 1.549637, acc: 0.125000] 29570: [discriminator loss: 0.570897, acc: 0.734375] [adversarial loss: 0.839729, acc: 0.500000] 29571: [discriminator loss: 0.520916, acc: 0.750000] [adversarial loss: 1.650434, acc: 0.062500] 29572: [discriminator loss: 0.569522, acc: 0.695312] [adversarial loss: 0.731953, acc: 0.515625] 29573: [discriminator loss: 0.547264, acc: 0.734375] [adversarial loss: 1.681086, acc: 0.125000] 29574: [discriminator loss: 0.546531, acc: 0.695312] [adversarial loss: 1.131584, acc: 0.375000] 29575: [discriminator loss: 0.502848, acc: 0.734375] [adversarial loss: 1.307530, acc: 0.250000] 29576: [discriminator loss: 0.573313, acc: 0.703125] [adversarial loss: 1.138507, acc: 0.312500] 29577: [discriminator loss: 0.506374, acc: 0.757812] [adversarial loss: 1.374134, acc: 0.171875] 29578: [discriminator loss: 0.463499, acc: 0.789062] [adversarial loss: 1.111878, acc: 0.281250] 29579: [discriminator loss: 0.510984, acc: 0.710938] [adversarial loss: 1.575966, acc: 0.171875] 29580: [discriminator loss: 0.533388, acc: 0.742188] [adversarial loss: 0.951396, acc: 0.484375] 29581: [discriminator loss: 0.611115, acc: 0.625000] [adversarial loss: 1.377642, acc: 0.156250] 29582: [discriminator loss: 0.479519, acc: 0.757812] [adversarial loss: 0.889420, acc: 0.421875] 29583: [discriminator loss: 0.485721, acc: 0.789062] [adversarial loss: 1.338457, acc: 0.218750] 29584: [discriminator loss: 0.535393, acc: 0.695312] [adversarial loss: 1.295435, acc: 0.218750] 29585: [discriminator loss: 0.565021, acc: 0.703125] [adversarial loss: 1.539765, acc: 0.078125] 29586: [discriminator loss: 0.518850, acc: 0.734375] [adversarial loss: 1.115304, acc: 0.265625] 29587: [discriminator loss: 0.554898, acc: 0.734375] [adversarial loss: 1.224373, acc: 0.218750] 29588: [discriminator loss: 0.485168, acc: 0.765625] [adversarial loss: 0.882730, acc: 0.390625] 29589: [discriminator loss: 0.546978, acc: 0.703125] [adversarial loss: 1.635468, acc: 0.109375] 29590: [discriminator loss: 0.508950, acc: 0.750000] [adversarial loss: 0.941231, acc: 0.359375] 29591: [discriminator loss: 0.591650, acc: 0.695312] [adversarial loss: 1.788980, acc: 0.062500] 29592: [discriminator loss: 0.587304, acc: 0.679688] [adversarial loss: 1.020886, acc: 0.390625] 29593: [discriminator loss: 0.541097, acc: 0.734375] [adversarial loss: 1.634120, acc: 0.140625] 29594: [discriminator loss: 0.528345, acc: 0.734375] [adversarial loss: 1.136149, acc: 0.281250] 29595: [discriminator loss: 0.497488, acc: 0.734375] [adversarial loss: 1.452519, acc: 0.125000] 29596: [discriminator loss: 0.504761, acc: 0.750000] [adversarial loss: 0.993575, acc: 0.390625] 29597: [discriminator loss: 0.536281, acc: 0.734375] [adversarial loss: 1.456064, acc: 0.093750] 29598: [discriminator loss: 0.471467, acc: 0.734375] [adversarial loss: 1.156788, acc: 0.281250] 29599: [discriminator loss: 0.478280, acc: 0.750000] [adversarial loss: 1.498671, acc: 0.140625] 29600: [discriminator loss: 0.443455, acc: 0.789062] [adversarial loss: 1.331689, acc: 0.218750] 29601: [discriminator loss: 0.539568, acc: 0.695312] [adversarial loss: 1.338322, acc: 0.250000] 29602: [discriminator loss: 0.527247, acc: 0.734375] [adversarial loss: 1.189929, acc: 0.265625] 29603: [discriminator loss: 0.555745, acc: 0.742188] [adversarial loss: 1.344882, acc: 0.125000] 29604: [discriminator loss: 0.557716, acc: 0.734375] [adversarial loss: 0.876316, acc: 0.453125] 29605: [discriminator loss: 0.613105, acc: 0.703125] [adversarial loss: 1.822397, acc: 0.093750] 29606: [discriminator loss: 0.673546, acc: 0.617188] [adversarial loss: 0.827748, acc: 0.531250] 29607: [discriminator loss: 0.569630, acc: 0.656250] [adversarial loss: 1.523615, acc: 0.140625] 29608: [discriminator loss: 0.569689, acc: 0.679688] [adversarial loss: 0.882866, acc: 0.484375] 29609: [discriminator loss: 0.536057, acc: 0.773438] [adversarial loss: 1.355637, acc: 0.140625] 29610: [discriminator loss: 0.516711, acc: 0.750000] [adversarial loss: 1.032896, acc: 0.328125] 29611: [discriminator loss: 0.573053, acc: 0.656250] [adversarial loss: 1.417371, acc: 0.187500] 29612: [discriminator loss: 0.529578, acc: 0.726562] [adversarial loss: 0.796901, acc: 0.515625] 29613: [discriminator loss: 0.560368, acc: 0.726562] [adversarial loss: 1.422151, acc: 0.093750] 29614: [discriminator loss: 0.531194, acc: 0.742188] [adversarial loss: 0.958704, acc: 0.281250] 29615: [discriminator loss: 0.535823, acc: 0.726562] [adversarial loss: 1.282992, acc: 0.140625] 29616: [discriminator loss: 0.553898, acc: 0.695312] [adversarial loss: 0.935715, acc: 0.453125] 29617: [discriminator loss: 0.498762, acc: 0.773438] [adversarial loss: 1.446197, acc: 0.125000] 29618: [discriminator loss: 0.511434, acc: 0.742188] [adversarial loss: 1.062143, acc: 0.359375] 29619: [discriminator loss: 0.549360, acc: 0.679688] [adversarial loss: 1.415147, acc: 0.203125] 29620: [discriminator loss: 0.571125, acc: 0.687500] [adversarial loss: 0.850150, acc: 0.484375] 29621: [discriminator loss: 0.592424, acc: 0.617188] [adversarial loss: 1.823745, acc: 0.046875] 29622: [discriminator loss: 0.479901, acc: 0.734375] [adversarial loss: 1.132049, acc: 0.406250] 29623: [discriminator loss: 0.476863, acc: 0.789062] [adversarial loss: 1.481148, acc: 0.171875] 29624: [discriminator loss: 0.602674, acc: 0.640625] [adversarial loss: 0.911234, acc: 0.484375] 29625: [discriminator loss: 0.555093, acc: 0.710938] [adversarial loss: 1.259592, acc: 0.234375] 29626: [discriminator loss: 0.559624, acc: 0.703125] [adversarial loss: 0.947210, acc: 0.390625] 29627: [discriminator loss: 0.509824, acc: 0.750000] [adversarial loss: 1.482765, acc: 0.156250] 29628: [discriminator loss: 0.557271, acc: 0.679688] [adversarial loss: 0.778079, acc: 0.546875] 29629: [discriminator loss: 0.587832, acc: 0.703125] [adversarial loss: 1.671244, acc: 0.062500] 29630: [discriminator loss: 0.561150, acc: 0.734375] [adversarial loss: 1.024205, acc: 0.312500] 29631: [discriminator loss: 0.546345, acc: 0.695312] [adversarial loss: 1.417526, acc: 0.140625] 29632: [discriminator loss: 0.539787, acc: 0.679688] [adversarial loss: 1.297108, acc: 0.265625] 29633: [discriminator loss: 0.557527, acc: 0.695312] [adversarial loss: 1.247757, acc: 0.250000] 29634: [discriminator loss: 0.494685, acc: 0.781250] [adversarial loss: 0.931173, acc: 0.484375] 29635: [discriminator loss: 0.590764, acc: 0.679688] [adversarial loss: 1.281231, acc: 0.218750] 29636: [discriminator loss: 0.542196, acc: 0.703125] [adversarial loss: 0.690263, acc: 0.531250] 29637: [discriminator loss: 0.548954, acc: 0.734375] [adversarial loss: 1.395815, acc: 0.218750] 29638: [discriminator loss: 0.507004, acc: 0.718750] [adversarial loss: 0.650831, acc: 0.562500] 29639: [discriminator loss: 0.626697, acc: 0.679688] [adversarial loss: 1.164974, acc: 0.171875] 29640: [discriminator loss: 0.495250, acc: 0.742188] [adversarial loss: 0.986932, acc: 0.421875] 29641: [discriminator loss: 0.536510, acc: 0.742188] [adversarial loss: 1.231318, acc: 0.203125] 29642: [discriminator loss: 0.483729, acc: 0.773438] [adversarial loss: 0.962595, acc: 0.453125] 29643: [discriminator loss: 0.526442, acc: 0.695312] [adversarial loss: 1.206152, acc: 0.296875] 29644: [discriminator loss: 0.405431, acc: 0.820312] [adversarial loss: 0.990176, acc: 0.390625] 29645: [discriminator loss: 0.518662, acc: 0.710938] [adversarial loss: 1.318287, acc: 0.265625] 29646: [discriminator loss: 0.527537, acc: 0.718750] [adversarial loss: 0.985411, acc: 0.328125] 29647: [discriminator loss: 0.490306, acc: 0.781250] [adversarial loss: 1.642736, acc: 0.125000] 29648: [discriminator loss: 0.498968, acc: 0.718750] [adversarial loss: 0.939199, acc: 0.484375] 29649: [discriminator loss: 0.563459, acc: 0.648438] [adversarial loss: 1.714168, acc: 0.062500] 29650: [discriminator loss: 0.470500, acc: 0.750000] [adversarial loss: 1.174619, acc: 0.390625] 29651: [discriminator loss: 0.471490, acc: 0.742188] [adversarial loss: 1.573810, acc: 0.062500] 29652: [discriminator loss: 0.501410, acc: 0.726562] [adversarial loss: 1.132590, acc: 0.312500] 29653: [discriminator loss: 0.531179, acc: 0.734375] [adversarial loss: 1.251657, acc: 0.234375] 29654: [discriminator loss: 0.436743, acc: 0.804688] [adversarial loss: 1.553877, acc: 0.187500] 29655: [discriminator loss: 0.491571, acc: 0.734375] [adversarial loss: 1.023769, acc: 0.312500] 29656: [discriminator loss: 0.532809, acc: 0.734375] [adversarial loss: 1.733187, acc: 0.109375] 29657: [discriminator loss: 0.509488, acc: 0.742188] [adversarial loss: 0.856562, acc: 0.500000] 29658: [discriminator loss: 0.719500, acc: 0.609375] [adversarial loss: 2.071906, acc: 0.093750] 29659: [discriminator loss: 0.630382, acc: 0.632812] [adversarial loss: 0.974159, acc: 0.437500] 29660: [discriminator loss: 0.604390, acc: 0.671875] [adversarial loss: 1.527807, acc: 0.156250] 29661: [discriminator loss: 0.468279, acc: 0.750000] [adversarial loss: 1.176123, acc: 0.265625] 29662: [discriminator loss: 0.520196, acc: 0.742188] [adversarial loss: 1.509419, acc: 0.109375] 29663: [discriminator loss: 0.533922, acc: 0.750000] [adversarial loss: 1.219939, acc: 0.203125] 29664: [discriminator loss: 0.488490, acc: 0.742188] [adversarial loss: 1.178816, acc: 0.203125] 29665: [discriminator loss: 0.552061, acc: 0.750000] [adversarial loss: 1.228253, acc: 0.234375] 29666: [discriminator loss: 0.486591, acc: 0.773438] [adversarial loss: 0.989273, acc: 0.421875] 29667: [discriminator loss: 0.534881, acc: 0.742188] [adversarial loss: 1.463744, acc: 0.187500] 29668: [discriminator loss: 0.495017, acc: 0.718750] [adversarial loss: 1.361685, acc: 0.265625] 29669: [discriminator loss: 0.480683, acc: 0.773438] [adversarial loss: 1.313239, acc: 0.281250] 29670: [discriminator loss: 0.556913, acc: 0.671875] [adversarial loss: 0.984937, acc: 0.359375] 29671: [discriminator loss: 0.500326, acc: 0.796875] [adversarial loss: 1.746044, acc: 0.125000] 29672: [discriminator loss: 0.603240, acc: 0.679688] [adversarial loss: 0.876493, acc: 0.484375] 29673: [discriminator loss: 0.518081, acc: 0.687500] [adversarial loss: 1.684128, acc: 0.109375] 29674: [discriminator loss: 0.592603, acc: 0.710938] [adversarial loss: 1.114122, acc: 0.328125] 29675: [discriminator loss: 0.530147, acc: 0.781250] [adversarial loss: 1.348583, acc: 0.156250] 29676: [discriminator loss: 0.507074, acc: 0.750000] [adversarial loss: 0.936796, acc: 0.421875] 29677: [discriminator loss: 0.485145, acc: 0.789062] [adversarial loss: 1.376427, acc: 0.187500] 29678: [discriminator loss: 0.592201, acc: 0.687500] [adversarial loss: 0.891931, acc: 0.421875] 29679: [discriminator loss: 0.493554, acc: 0.757812] [adversarial loss: 1.352310, acc: 0.171875] 29680: [discriminator loss: 0.506299, acc: 0.750000] [adversarial loss: 1.083257, acc: 0.390625] 29681: [discriminator loss: 0.520732, acc: 0.750000] [adversarial loss: 1.247714, acc: 0.187500] 29682: [discriminator loss: 0.523116, acc: 0.710938] [adversarial loss: 0.808639, acc: 0.500000] 29683: [discriminator loss: 0.556963, acc: 0.695312] [adversarial loss: 1.271895, acc: 0.281250] 29684: [discriminator loss: 0.517016, acc: 0.726562] [adversarial loss: 1.271554, acc: 0.203125] 29685: [discriminator loss: 0.540985, acc: 0.679688] [adversarial loss: 1.138159, acc: 0.328125] 29686: [discriminator loss: 0.474808, acc: 0.757812] [adversarial loss: 1.352926, acc: 0.187500] 29687: [discriminator loss: 0.483735, acc: 0.773438] [adversarial loss: 1.161818, acc: 0.375000] 29688: [discriminator loss: 0.505151, acc: 0.710938] [adversarial loss: 1.308863, acc: 0.140625] 29689: [discriminator loss: 0.499234, acc: 0.710938] [adversarial loss: 1.171257, acc: 0.218750] 29690: [discriminator loss: 0.469188, acc: 0.796875] [adversarial loss: 1.002194, acc: 0.421875] 29691: [discriminator loss: 0.522617, acc: 0.726562] [adversarial loss: 1.629278, acc: 0.078125] 29692: [discriminator loss: 0.582685, acc: 0.718750] [adversarial loss: 0.820485, acc: 0.531250] 29693: [discriminator loss: 0.591156, acc: 0.734375] [adversarial loss: 1.965288, acc: 0.031250] 29694: [discriminator loss: 0.594370, acc: 0.695312] [adversarial loss: 0.943107, acc: 0.312500] 29695: [discriminator loss: 0.557404, acc: 0.695312] [adversarial loss: 1.304303, acc: 0.109375] 29696: [discriminator loss: 0.555662, acc: 0.687500] [adversarial loss: 1.066059, acc: 0.281250] 29697: [discriminator loss: 0.451435, acc: 0.757812] [adversarial loss: 1.258797, acc: 0.296875] 29698: [discriminator loss: 0.572660, acc: 0.679688] [adversarial loss: 1.355668, acc: 0.312500] 29699: [discriminator loss: 0.564290, acc: 0.679688] [adversarial loss: 1.260769, acc: 0.234375] 29700: [discriminator loss: 0.488284, acc: 0.765625] [adversarial loss: 0.958170, acc: 0.406250] 29701: [discriminator loss: 0.479895, acc: 0.750000] [adversarial loss: 1.317644, acc: 0.203125] 29702: [discriminator loss: 0.478357, acc: 0.765625] [adversarial loss: 1.198418, acc: 0.296875] 29703: [discriminator loss: 0.495080, acc: 0.742188] [adversarial loss: 1.089897, acc: 0.328125] 29704: [discriminator loss: 0.494808, acc: 0.773438] [adversarial loss: 1.295934, acc: 0.218750] 29705: [discriminator loss: 0.501077, acc: 0.734375] [adversarial loss: 1.422732, acc: 0.187500] 29706: [discriminator loss: 0.545809, acc: 0.703125] [adversarial loss: 1.215264, acc: 0.250000] 29707: [discriminator loss: 0.535536, acc: 0.757812] [adversarial loss: 1.598357, acc: 0.062500] 29708: [discriminator loss: 0.562055, acc: 0.679688] [adversarial loss: 0.892193, acc: 0.531250] 29709: [discriminator loss: 0.706823, acc: 0.601562] [adversarial loss: 1.545469, acc: 0.125000] 29710: [discriminator loss: 0.517749, acc: 0.750000] [adversarial loss: 1.007654, acc: 0.375000] 29711: [discriminator loss: 0.539346, acc: 0.710938] [adversarial loss: 1.528650, acc: 0.109375] 29712: [discriminator loss: 0.508569, acc: 0.742188] [adversarial loss: 0.999689, acc: 0.406250] 29713: [discriminator loss: 0.565617, acc: 0.742188] [adversarial loss: 1.478824, acc: 0.093750] 29714: [discriminator loss: 0.527603, acc: 0.718750] [adversarial loss: 0.946323, acc: 0.390625] 29715: [discriminator loss: 0.633625, acc: 0.695312] [adversarial loss: 1.559908, acc: 0.156250] 29716: [discriminator loss: 0.559746, acc: 0.703125] [adversarial loss: 1.141552, acc: 0.312500] 29717: [discriminator loss: 0.544212, acc: 0.734375] [adversarial loss: 1.285513, acc: 0.203125] 29718: [discriminator loss: 0.478118, acc: 0.781250] [adversarial loss: 1.269953, acc: 0.234375] 29719: [discriminator loss: 0.511080, acc: 0.750000] [adversarial loss: 1.401300, acc: 0.156250] 29720: [discriminator loss: 0.498637, acc: 0.781250] [adversarial loss: 1.023288, acc: 0.328125] 29721: [discriminator loss: 0.486316, acc: 0.734375] [adversarial loss: 1.731390, acc: 0.078125] 29722: [discriminator loss: 0.582669, acc: 0.648438] [adversarial loss: 0.986168, acc: 0.390625] 29723: [discriminator loss: 0.522011, acc: 0.703125] [adversarial loss: 1.499865, acc: 0.187500] 29724: [discriminator loss: 0.592562, acc: 0.664062] [adversarial loss: 0.920868, acc: 0.406250] 29725: [discriminator loss: 0.466439, acc: 0.773438] [adversarial loss: 1.299640, acc: 0.265625] 29726: [discriminator loss: 0.540826, acc: 0.710938] [adversarial loss: 0.908435, acc: 0.468750] 29727: [discriminator loss: 0.606535, acc: 0.671875] [adversarial loss: 1.867358, acc: 0.046875] 29728: [discriminator loss: 0.587342, acc: 0.664062] [adversarial loss: 1.048590, acc: 0.343750] 29729: [discriminator loss: 0.525203, acc: 0.718750] [adversarial loss: 1.454075, acc: 0.187500] 29730: [discriminator loss: 0.524076, acc: 0.742188] [adversarial loss: 1.333090, acc: 0.203125] 29731: [discriminator loss: 0.504451, acc: 0.765625] [adversarial loss: 1.226517, acc: 0.281250] 29732: [discriminator loss: 0.492387, acc: 0.750000] [adversarial loss: 1.268597, acc: 0.218750] 29733: [discriminator loss: 0.480594, acc: 0.773438] [adversarial loss: 1.340411, acc: 0.312500] 29734: [discriminator loss: 0.532983, acc: 0.703125] [adversarial loss: 1.376950, acc: 0.218750] 29735: [discriminator loss: 0.462487, acc: 0.773438] [adversarial loss: 0.942653, acc: 0.390625] 29736: [discriminator loss: 0.555759, acc: 0.734375] [adversarial loss: 1.655102, acc: 0.093750] 29737: [discriminator loss: 0.488535, acc: 0.734375] [adversarial loss: 1.250233, acc: 0.203125] 29738: [discriminator loss: 0.514969, acc: 0.703125] [adversarial loss: 1.060711, acc: 0.296875] 29739: [discriminator loss: 0.423769, acc: 0.781250] [adversarial loss: 1.339818, acc: 0.218750] 29740: [discriminator loss: 0.491819, acc: 0.726562] [adversarial loss: 1.382849, acc: 0.171875] 29741: [discriminator loss: 0.528213, acc: 0.742188] [adversarial loss: 1.076546, acc: 0.343750] 29742: [discriminator loss: 0.510010, acc: 0.750000] [adversarial loss: 1.421465, acc: 0.125000] 29743: [discriminator loss: 0.465350, acc: 0.781250] [adversarial loss: 0.945874, acc: 0.421875] 29744: [discriminator loss: 0.441083, acc: 0.796875] [adversarial loss: 1.312884, acc: 0.265625] 29745: [discriminator loss: 0.477560, acc: 0.812500] [adversarial loss: 1.157165, acc: 0.250000] 29746: [discriminator loss: 0.506681, acc: 0.750000] [adversarial loss: 1.329050, acc: 0.218750] 29747: [discriminator loss: 0.424726, acc: 0.835938] [adversarial loss: 1.201043, acc: 0.250000] 29748: [discriminator loss: 0.497666, acc: 0.765625] [adversarial loss: 1.852781, acc: 0.078125] 29749: [discriminator loss: 0.492874, acc: 0.742188] [adversarial loss: 0.750024, acc: 0.468750] 29750: [discriminator loss: 0.566582, acc: 0.687500] [adversarial loss: 2.305902, acc: 0.046875] 29751: [discriminator loss: 0.640905, acc: 0.687500] [adversarial loss: 0.876901, acc: 0.531250] 29752: [discriminator loss: 0.571793, acc: 0.710938] [adversarial loss: 1.738783, acc: 0.125000] 29753: [discriminator loss: 0.527570, acc: 0.726562] [adversarial loss: 1.122295, acc: 0.265625] 29754: [discriminator loss: 0.476872, acc: 0.796875] [adversarial loss: 1.036059, acc: 0.406250] 29755: [discriminator loss: 0.507849, acc: 0.781250] [adversarial loss: 1.327423, acc: 0.218750] 29756: [discriminator loss: 0.506284, acc: 0.820312] [adversarial loss: 1.766698, acc: 0.140625] 29757: [discriminator loss: 0.576959, acc: 0.687500] [adversarial loss: 0.799837, acc: 0.609375] 29758: [discriminator loss: 0.546345, acc: 0.742188] [adversarial loss: 1.661045, acc: 0.031250] 29759: [discriminator loss: 0.524357, acc: 0.695312] [adversarial loss: 1.297701, acc: 0.203125] 29760: [discriminator loss: 0.538425, acc: 0.726562] [adversarial loss: 1.508898, acc: 0.156250] 29761: [discriminator loss: 0.528300, acc: 0.695312] [adversarial loss: 0.993097, acc: 0.390625] 29762: [discriminator loss: 0.527204, acc: 0.726562] [adversarial loss: 1.670977, acc: 0.125000] 29763: [discriminator loss: 0.459819, acc: 0.773438] [adversarial loss: 1.236035, acc: 0.281250] 29764: [discriminator loss: 0.622957, acc: 0.656250] [adversarial loss: 1.377864, acc: 0.218750] 29765: [discriminator loss: 0.502651, acc: 0.742188] [adversarial loss: 1.478104, acc: 0.171875] 29766: [discriminator loss: 0.522088, acc: 0.718750] [adversarial loss: 1.007622, acc: 0.359375] 29767: [discriminator loss: 0.557559, acc: 0.703125] [adversarial loss: 1.370772, acc: 0.187500] 29768: [discriminator loss: 0.509954, acc: 0.718750] [adversarial loss: 0.935560, acc: 0.437500] 29769: [discriminator loss: 0.498092, acc: 0.718750] [adversarial loss: 1.420470, acc: 0.156250] 29770: [discriminator loss: 0.523815, acc: 0.726562] [adversarial loss: 1.241298, acc: 0.265625] 29771: [discriminator loss: 0.531431, acc: 0.718750] [adversarial loss: 1.139309, acc: 0.281250] 29772: [discriminator loss: 0.569024, acc: 0.703125] [adversarial loss: 1.573659, acc: 0.093750] 29773: [discriminator loss: 0.503658, acc: 0.773438] [adversarial loss: 0.603648, acc: 0.734375] 29774: [discriminator loss: 0.590722, acc: 0.648438] [adversarial loss: 1.707837, acc: 0.109375] 29775: [discriminator loss: 0.624506, acc: 0.648438] [adversarial loss: 0.716582, acc: 0.593750] 29776: [discriminator loss: 0.568811, acc: 0.718750] [adversarial loss: 1.707610, acc: 0.062500] 29777: [discriminator loss: 0.591314, acc: 0.664062] [adversarial loss: 1.296773, acc: 0.265625] 29778: [discriminator loss: 0.553711, acc: 0.757812] [adversarial loss: 1.380238, acc: 0.218750] 29779: [discriminator loss: 0.477026, acc: 0.773438] [adversarial loss: 1.498256, acc: 0.125000] 29780: [discriminator loss: 0.506845, acc: 0.726562] [adversarial loss: 0.917877, acc: 0.421875] 29781: [discriminator loss: 0.519370, acc: 0.750000] [adversarial loss: 1.679486, acc: 0.156250] 29782: [discriminator loss: 0.521530, acc: 0.695312] [adversarial loss: 0.911476, acc: 0.437500] 29783: [discriminator loss: 0.573949, acc: 0.679688] [adversarial loss: 1.629649, acc: 0.109375] 29784: [discriminator loss: 0.524119, acc: 0.734375] [adversarial loss: 1.436275, acc: 0.187500] 29785: [discriminator loss: 0.456777, acc: 0.757812] [adversarial loss: 1.288911, acc: 0.250000] 29786: [discriminator loss: 0.498037, acc: 0.734375] [adversarial loss: 1.518638, acc: 0.125000] 29787: [discriminator loss: 0.509576, acc: 0.742188] [adversarial loss: 1.006286, acc: 0.437500] 29788: [discriminator loss: 0.570498, acc: 0.687500] [adversarial loss: 1.789101, acc: 0.031250] 29789: [discriminator loss: 0.633362, acc: 0.695312] [adversarial loss: 1.008568, acc: 0.453125] 29790: [discriminator loss: 0.491255, acc: 0.726562] [adversarial loss: 1.617468, acc: 0.062500] 29791: [discriminator loss: 0.626510, acc: 0.632812] [adversarial loss: 1.128480, acc: 0.265625] 29792: [discriminator loss: 0.509137, acc: 0.765625] [adversarial loss: 1.329973, acc: 0.203125] 29793: [discriminator loss: 0.492110, acc: 0.765625] [adversarial loss: 1.212749, acc: 0.281250] 29794: [discriminator loss: 0.503920, acc: 0.742188] [adversarial loss: 1.582615, acc: 0.062500] 29795: [discriminator loss: 0.557550, acc: 0.695312] [adversarial loss: 0.832187, acc: 0.484375] 29796: [discriminator loss: 0.518229, acc: 0.734375] [adversarial loss: 1.624576, acc: 0.078125] 29797: [discriminator loss: 0.570967, acc: 0.671875] [adversarial loss: 0.995115, acc: 0.390625] 29798: [discriminator loss: 0.525615, acc: 0.718750] [adversarial loss: 1.561900, acc: 0.078125] 29799: [discriminator loss: 0.537763, acc: 0.718750] [adversarial loss: 0.988802, acc: 0.421875] 29800: [discriminator loss: 0.542907, acc: 0.742188] [adversarial loss: 1.400849, acc: 0.187500] 29801: [discriminator loss: 0.474429, acc: 0.828125] [adversarial loss: 1.355579, acc: 0.203125] 29802: [discriminator loss: 0.444990, acc: 0.789062] [adversarial loss: 1.240301, acc: 0.218750] 29803: [discriminator loss: 0.518714, acc: 0.703125] [adversarial loss: 1.394831, acc: 0.125000] 29804: [discriminator loss: 0.510633, acc: 0.742188] [adversarial loss: 1.026641, acc: 0.484375] 29805: [discriminator loss: 0.515048, acc: 0.718750] [adversarial loss: 1.828315, acc: 0.062500] 29806: [discriminator loss: 0.561815, acc: 0.648438] [adversarial loss: 0.783100, acc: 0.453125] 29807: [discriminator loss: 0.569078, acc: 0.671875] [adversarial loss: 1.734208, acc: 0.140625] 29808: [discriminator loss: 0.460175, acc: 0.757812] [adversarial loss: 1.034972, acc: 0.359375] 29809: [discriminator loss: 0.546331, acc: 0.695312] [adversarial loss: 1.558316, acc: 0.156250] 29810: [discriminator loss: 0.503290, acc: 0.765625] [adversarial loss: 1.175232, acc: 0.359375] 29811: [discriminator loss: 0.482487, acc: 0.804688] [adversarial loss: 1.140725, acc: 0.296875] 29812: [discriminator loss: 0.531856, acc: 0.742188] [adversarial loss: 1.432819, acc: 0.156250] 29813: [discriminator loss: 0.523504, acc: 0.718750] [adversarial loss: 1.359572, acc: 0.171875] 29814: [discriminator loss: 0.552621, acc: 0.687500] [adversarial loss: 0.859376, acc: 0.421875] 29815: [discriminator loss: 0.517729, acc: 0.742188] [adversarial loss: 1.606475, acc: 0.109375] 29816: [discriminator loss: 0.583852, acc: 0.656250] [adversarial loss: 0.984174, acc: 0.375000] 29817: [discriminator loss: 0.593488, acc: 0.679688] [adversarial loss: 1.394706, acc: 0.140625] 29818: [discriminator loss: 0.560800, acc: 0.687500] [adversarial loss: 0.936739, acc: 0.453125] 29819: [discriminator loss: 0.586860, acc: 0.664062] [adversarial loss: 1.401054, acc: 0.218750] 29820: [discriminator loss: 0.526947, acc: 0.742188] [adversarial loss: 0.936086, acc: 0.468750] 29821: [discriminator loss: 0.514066, acc: 0.765625] [adversarial loss: 1.330211, acc: 0.250000] 29822: [discriminator loss: 0.545595, acc: 0.726562] [adversarial loss: 1.313759, acc: 0.156250] 29823: [discriminator loss: 0.453619, acc: 0.773438] [adversarial loss: 1.188318, acc: 0.296875] 29824: [discriminator loss: 0.511723, acc: 0.750000] [adversarial loss: 1.598219, acc: 0.156250] 29825: [discriminator loss: 0.488498, acc: 0.773438] [adversarial loss: 0.943603, acc: 0.375000] 29826: [discriminator loss: 0.578333, acc: 0.710938] [adversarial loss: 2.029385, acc: 0.062500] 29827: [discriminator loss: 0.591617, acc: 0.617188] [adversarial loss: 0.963134, acc: 0.390625] 29828: [discriminator loss: 0.595356, acc: 0.671875] [adversarial loss: 1.653534, acc: 0.078125] 29829: [discriminator loss: 0.560410, acc: 0.687500] [adversarial loss: 1.175577, acc: 0.234375] 29830: [discriminator loss: 0.522725, acc: 0.742188] [adversarial loss: 1.462025, acc: 0.171875] 29831: [discriminator loss: 0.592200, acc: 0.703125] [adversarial loss: 1.089929, acc: 0.312500] 29832: [discriminator loss: 0.567402, acc: 0.710938] [adversarial loss: 1.203858, acc: 0.250000] 29833: [discriminator loss: 0.499952, acc: 0.726562] [adversarial loss: 1.134135, acc: 0.328125] 29834: [discriminator loss: 0.591971, acc: 0.671875] [adversarial loss: 1.534361, acc: 0.140625] 29835: [discriminator loss: 0.570231, acc: 0.710938] [adversarial loss: 1.278903, acc: 0.234375] 29836: [discriminator loss: 0.442521, acc: 0.851562] [adversarial loss: 1.127172, acc: 0.343750] 29837: [discriminator loss: 0.581045, acc: 0.679688] [adversarial loss: 1.462130, acc: 0.140625] 29838: [discriminator loss: 0.490421, acc: 0.742188] [adversarial loss: 1.013713, acc: 0.343750] 29839: [discriminator loss: 0.581731, acc: 0.726562] [adversarial loss: 1.712911, acc: 0.093750] 29840: [discriminator loss: 0.606559, acc: 0.648438] [adversarial loss: 0.850942, acc: 0.515625] 29841: [discriminator loss: 0.535999, acc: 0.703125] [adversarial loss: 1.435409, acc: 0.171875] 29842: [discriminator loss: 0.511416, acc: 0.757812] [adversarial loss: 1.151185, acc: 0.312500] 29843: [discriminator loss: 0.502537, acc: 0.750000] [adversarial loss: 1.632326, acc: 0.078125] 29844: [discriminator loss: 0.516046, acc: 0.773438] [adversarial loss: 1.351132, acc: 0.234375] 29845: [discriminator loss: 0.525640, acc: 0.726562] [adversarial loss: 1.158969, acc: 0.296875] 29846: [discriminator loss: 0.523671, acc: 0.781250] [adversarial loss: 1.313761, acc: 0.265625] 29847: [discriminator loss: 0.451359, acc: 0.750000] [adversarial loss: 1.437596, acc: 0.296875] 29848: [discriminator loss: 0.484258, acc: 0.765625] [adversarial loss: 1.196239, acc: 0.250000] 29849: [discriminator loss: 0.552163, acc: 0.679688] [adversarial loss: 1.499691, acc: 0.156250] 29850: [discriminator loss: 0.512899, acc: 0.750000] [adversarial loss: 0.894466, acc: 0.484375] 29851: [discriminator loss: 0.600049, acc: 0.679688] [adversarial loss: 1.503746, acc: 0.187500] 29852: [discriminator loss: 0.569504, acc: 0.671875] [adversarial loss: 1.123260, acc: 0.203125] 29853: [discriminator loss: 0.488452, acc: 0.765625] [adversarial loss: 1.652683, acc: 0.093750] 29854: [discriminator loss: 0.478149, acc: 0.781250] [adversarial loss: 1.057864, acc: 0.390625] 29855: [discriminator loss: 0.544056, acc: 0.726562] [adversarial loss: 1.427061, acc: 0.187500] 29856: [discriminator loss: 0.488604, acc: 0.757812] [adversarial loss: 1.262168, acc: 0.250000] 29857: [discriminator loss: 0.564659, acc: 0.695312] [adversarial loss: 1.313139, acc: 0.203125] 29858: [discriminator loss: 0.537981, acc: 0.734375] [adversarial loss: 1.438307, acc: 0.203125] 29859: [discriminator loss: 0.593073, acc: 0.648438] [adversarial loss: 1.088296, acc: 0.312500] 29860: [discriminator loss: 0.496268, acc: 0.773438] [adversarial loss: 1.337823, acc: 0.218750] 29861: [discriminator loss: 0.586810, acc: 0.640625] [adversarial loss: 1.056292, acc: 0.343750] 29862: [discriminator loss: 0.503075, acc: 0.742188] [adversarial loss: 1.657388, acc: 0.140625] 29863: [discriminator loss: 0.556262, acc: 0.718750] [adversarial loss: 0.897551, acc: 0.453125] 29864: [discriminator loss: 0.514230, acc: 0.757812] [adversarial loss: 1.746791, acc: 0.046875] 29865: [discriminator loss: 0.610430, acc: 0.617188] [adversarial loss: 0.979379, acc: 0.296875] 29866: [discriminator loss: 0.568368, acc: 0.718750] [adversarial loss: 1.622865, acc: 0.093750] 29867: [discriminator loss: 0.568175, acc: 0.726562] [adversarial loss: 0.977608, acc: 0.343750] 29868: [discriminator loss: 0.613386, acc: 0.664062] [adversarial loss: 1.484674, acc: 0.156250] 29869: [discriminator loss: 0.541989, acc: 0.734375] [adversarial loss: 1.086448, acc: 0.328125] 29870: [discriminator loss: 0.566828, acc: 0.710938] [adversarial loss: 1.282005, acc: 0.265625] 29871: [discriminator loss: 0.515214, acc: 0.750000] [adversarial loss: 1.345762, acc: 0.187500] 29872: [discriminator loss: 0.477386, acc: 0.750000] [adversarial loss: 1.052876, acc: 0.390625] 29873: [discriminator loss: 0.521501, acc: 0.734375] [adversarial loss: 1.353495, acc: 0.250000] 29874: [discriminator loss: 0.569823, acc: 0.710938] [adversarial loss: 1.368818, acc: 0.171875] 29875: [discriminator loss: 0.478652, acc: 0.781250] [adversarial loss: 0.862009, acc: 0.500000] 29876: [discriminator loss: 0.553523, acc: 0.703125] [adversarial loss: 1.848342, acc: 0.093750] 29877: [discriminator loss: 0.631900, acc: 0.625000] [adversarial loss: 0.791678, acc: 0.515625] 29878: [discriminator loss: 0.656876, acc: 0.632812] [adversarial loss: 1.662754, acc: 0.140625] 29879: [discriminator loss: 0.602539, acc: 0.687500] [adversarial loss: 1.054216, acc: 0.343750] 29880: [discriminator loss: 0.612973, acc: 0.695312] [adversarial loss: 1.428373, acc: 0.093750] 29881: [discriminator loss: 0.499087, acc: 0.765625] [adversarial loss: 1.099263, acc: 0.296875] 29882: [discriminator loss: 0.481326, acc: 0.757812] [adversarial loss: 1.575785, acc: 0.093750] 29883: [discriminator loss: 0.492882, acc: 0.757812] [adversarial loss: 0.993351, acc: 0.406250] 29884: [discriminator loss: 0.585239, acc: 0.726562] [adversarial loss: 1.193572, acc: 0.203125] 29885: [discriminator loss: 0.502339, acc: 0.742188] [adversarial loss: 0.928893, acc: 0.468750] 29886: [discriminator loss: 0.521227, acc: 0.781250] [adversarial loss: 1.576087, acc: 0.187500] 29887: [discriminator loss: 0.507892, acc: 0.750000] [adversarial loss: 0.917619, acc: 0.484375] 29888: [discriminator loss: 0.561793, acc: 0.734375] [adversarial loss: 1.280162, acc: 0.296875] 29889: [discriminator loss: 0.525537, acc: 0.734375] [adversarial loss: 1.045832, acc: 0.343750] 29890: [discriminator loss: 0.460329, acc: 0.789062] [adversarial loss: 1.103715, acc: 0.328125] 29891: [discriminator loss: 0.468289, acc: 0.765625] [adversarial loss: 1.245959, acc: 0.281250] 29892: [discriminator loss: 0.534735, acc: 0.726562] [adversarial loss: 0.837142, acc: 0.421875] 29893: [discriminator loss: 0.615977, acc: 0.703125] [adversarial loss: 1.903029, acc: 0.078125] 29894: [discriminator loss: 0.634615, acc: 0.648438] [adversarial loss: 0.778907, acc: 0.531250] 29895: [discriminator loss: 0.649393, acc: 0.640625] [adversarial loss: 1.687715, acc: 0.093750] 29896: [discriminator loss: 0.567458, acc: 0.695312] [adversarial loss: 0.866048, acc: 0.515625] 29897: [discriminator loss: 0.510015, acc: 0.765625] [adversarial loss: 1.292628, acc: 0.265625] 29898: [discriminator loss: 0.584145, acc: 0.640625] [adversarial loss: 1.418376, acc: 0.171875] 29899: [discriminator loss: 0.602750, acc: 0.718750] [adversarial loss: 1.218974, acc: 0.218750] 29900: [discriminator loss: 0.482112, acc: 0.781250] [adversarial loss: 1.247090, acc: 0.265625] 29901: [discriminator loss: 0.490340, acc: 0.781250] [adversarial loss: 1.119679, acc: 0.296875] 29902: [discriminator loss: 0.517764, acc: 0.671875] [adversarial loss: 1.231860, acc: 0.265625] 29903: [discriminator loss: 0.511101, acc: 0.765625] [adversarial loss: 1.274776, acc: 0.328125] 29904: [discriminator loss: 0.497985, acc: 0.757812] [adversarial loss: 1.102739, acc: 0.312500] 29905: [discriminator loss: 0.548600, acc: 0.718750] [adversarial loss: 1.251325, acc: 0.203125] 29906: [discriminator loss: 0.511955, acc: 0.742188] [adversarial loss: 1.047129, acc: 0.328125] 29907: [discriminator loss: 0.576862, acc: 0.664062] [adversarial loss: 1.356131, acc: 0.265625] 29908: [discriminator loss: 0.444131, acc: 0.804688] [adversarial loss: 1.098567, acc: 0.328125] 29909: [discriminator loss: 0.576661, acc: 0.687500] [adversarial loss: 1.408825, acc: 0.234375] 29910: [discriminator loss: 0.603490, acc: 0.695312] [adversarial loss: 1.353262, acc: 0.203125] 29911: [discriminator loss: 0.584058, acc: 0.687500] [adversarial loss: 1.039623, acc: 0.359375] 29912: [discriminator loss: 0.489700, acc: 0.742188] [adversarial loss: 1.179511, acc: 0.234375] 29913: [discriminator loss: 0.452337, acc: 0.804688] [adversarial loss: 1.238344, acc: 0.218750] 29914: [discriminator loss: 0.556985, acc: 0.718750] [adversarial loss: 1.463962, acc: 0.296875] 29915: [discriminator loss: 0.483005, acc: 0.750000] [adversarial loss: 1.097318, acc: 0.375000] 29916: [discriminator loss: 0.546579, acc: 0.703125] [adversarial loss: 1.229334, acc: 0.250000] 29917: [discriminator loss: 0.563192, acc: 0.671875] [adversarial loss: 1.533182, acc: 0.156250] 29918: [discriminator loss: 0.542816, acc: 0.726562] [adversarial loss: 0.835082, acc: 0.515625] 29919: [discriminator loss: 0.580965, acc: 0.710938] [adversarial loss: 1.514657, acc: 0.109375] 29920: [discriminator loss: 0.629686, acc: 0.679688] [adversarial loss: 0.696623, acc: 0.593750] 29921: [discriminator loss: 0.521564, acc: 0.718750] [adversarial loss: 1.621445, acc: 0.171875] 29922: [discriminator loss: 0.528668, acc: 0.734375] [adversarial loss: 0.849684, acc: 0.484375] 29923: [discriminator loss: 0.511083, acc: 0.710938] [adversarial loss: 1.461568, acc: 0.140625] 29924: [discriminator loss: 0.555255, acc: 0.687500] [adversarial loss: 0.935214, acc: 0.453125] 29925: [discriminator loss: 0.576420, acc: 0.679688] [adversarial loss: 1.361554, acc: 0.218750] 29926: [discriminator loss: 0.529595, acc: 0.703125] [adversarial loss: 0.881770, acc: 0.437500] 29927: [discriminator loss: 0.536767, acc: 0.781250] [adversarial loss: 1.161967, acc: 0.250000] 29928: [discriminator loss: 0.527531, acc: 0.742188] [adversarial loss: 1.134963, acc: 0.359375] 29929: [discriminator loss: 0.488195, acc: 0.726562] [adversarial loss: 1.289171, acc: 0.250000] 29930: [discriminator loss: 0.560749, acc: 0.718750] [adversarial loss: 1.607897, acc: 0.187500] 29931: [discriminator loss: 0.570070, acc: 0.726562] [adversarial loss: 0.763932, acc: 0.515625] 29932: [discriminator loss: 0.546801, acc: 0.718750] [adversarial loss: 1.604466, acc: 0.171875] 29933: [discriminator loss: 0.446988, acc: 0.796875] [adversarial loss: 1.256147, acc: 0.312500] 29934: [discriminator loss: 0.451389, acc: 0.773438] [adversarial loss: 1.073176, acc: 0.343750] 29935: [discriminator loss: 0.515966, acc: 0.710938] [adversarial loss: 1.686674, acc: 0.140625] 29936: [discriminator loss: 0.605530, acc: 0.687500] [adversarial loss: 0.952218, acc: 0.468750] 29937: [discriminator loss: 0.563615, acc: 0.710938] [adversarial loss: 1.548758, acc: 0.093750] 29938: [discriminator loss: 0.592179, acc: 0.656250] [adversarial loss: 1.099630, acc: 0.312500] 29939: [discriminator loss: 0.509870, acc: 0.742188] [adversarial loss: 1.666690, acc: 0.078125] 29940: [discriminator loss: 0.623032, acc: 0.640625] [adversarial loss: 0.865465, acc: 0.515625] 29941: [discriminator loss: 0.585220, acc: 0.742188] [adversarial loss: 1.807665, acc: 0.046875] 29942: [discriminator loss: 0.592610, acc: 0.640625] [adversarial loss: 1.212860, acc: 0.359375] 29943: [discriminator loss: 0.483723, acc: 0.742188] [adversarial loss: 1.411088, acc: 0.171875] 29944: [discriminator loss: 0.510509, acc: 0.742188] [adversarial loss: 1.266364, acc: 0.171875] 29945: [discriminator loss: 0.478132, acc: 0.789062] [adversarial loss: 1.463421, acc: 0.187500] 29946: [discriminator loss: 0.482577, acc: 0.757812] [adversarial loss: 1.189112, acc: 0.328125] 29947: [discriminator loss: 0.540392, acc: 0.726562] [adversarial loss: 1.243644, acc: 0.265625] 29948: [discriminator loss: 0.430099, acc: 0.804688] [adversarial loss: 1.279842, acc: 0.218750] 29949: [discriminator loss: 0.574483, acc: 0.703125] [adversarial loss: 0.918906, acc: 0.390625] 29950: [discriminator loss: 0.508277, acc: 0.703125] [adversarial loss: 1.314631, acc: 0.234375] 29951: [discriminator loss: 0.533934, acc: 0.703125] [adversarial loss: 1.207070, acc: 0.218750] 29952: [discriminator loss: 0.453196, acc: 0.789062] [adversarial loss: 0.991100, acc: 0.453125] 29953: [discriminator loss: 0.550757, acc: 0.695312] [adversarial loss: 1.485915, acc: 0.156250] 29954: [discriminator loss: 0.603582, acc: 0.664062] [adversarial loss: 0.943874, acc: 0.453125] 29955: [discriminator loss: 0.541406, acc: 0.750000] [adversarial loss: 1.548702, acc: 0.140625] 29956: [discriminator loss: 0.579550, acc: 0.710938] [adversarial loss: 0.985531, acc: 0.406250] 29957: [discriminator loss: 0.529776, acc: 0.750000] [adversarial loss: 1.413008, acc: 0.171875] 29958: [discriminator loss: 0.545757, acc: 0.726562] [adversarial loss: 0.959793, acc: 0.421875] 29959: [discriminator loss: 0.466288, acc: 0.765625] [adversarial loss: 1.829004, acc: 0.109375] 29960: [discriminator loss: 0.468657, acc: 0.757812] [adversarial loss: 1.027133, acc: 0.437500] 29961: [discriminator loss: 0.537926, acc: 0.718750] [adversarial loss: 1.788025, acc: 0.125000] 29962: [discriminator loss: 0.576557, acc: 0.703125] [adversarial loss: 1.163411, acc: 0.312500] 29963: [discriminator loss: 0.580283, acc: 0.710938] [adversarial loss: 1.369516, acc: 0.281250] 29964: [discriminator loss: 0.525773, acc: 0.734375] [adversarial loss: 1.286828, acc: 0.218750] 29965: [discriminator loss: 0.527107, acc: 0.695312] [adversarial loss: 0.881550, acc: 0.531250] 29966: [discriminator loss: 0.574538, acc: 0.664062] [adversarial loss: 1.790838, acc: 0.078125] 29967: [discriminator loss: 0.591038, acc: 0.664062] [adversarial loss: 0.907437, acc: 0.453125] 29968: [discriminator loss: 0.498250, acc: 0.742188] [adversarial loss: 1.316341, acc: 0.171875] 29969: [discriminator loss: 0.546051, acc: 0.710938] [adversarial loss: 0.808170, acc: 0.484375] 29970: [discriminator loss: 0.503607, acc: 0.742188] [adversarial loss: 1.331182, acc: 0.265625] 29971: [discriminator loss: 0.508796, acc: 0.726562] [adversarial loss: 1.033202, acc: 0.468750] 29972: [discriminator loss: 0.542609, acc: 0.679688] [adversarial loss: 1.291924, acc: 0.234375] 29973: [discriminator loss: 0.549815, acc: 0.718750] [adversarial loss: 1.270049, acc: 0.187500] 29974: [discriminator loss: 0.562785, acc: 0.703125] [adversarial loss: 1.516717, acc: 0.156250] 29975: [discriminator loss: 0.589546, acc: 0.710938] [adversarial loss: 1.147481, acc: 0.234375] 29976: [discriminator loss: 0.511488, acc: 0.710938] [adversarial loss: 1.089707, acc: 0.343750] 29977: [discriminator loss: 0.524208, acc: 0.726562] [adversarial loss: 1.363371, acc: 0.265625] 29978: [discriminator loss: 0.488222, acc: 0.765625] [adversarial loss: 1.137558, acc: 0.312500] 29979: [discriminator loss: 0.500067, acc: 0.750000] [adversarial loss: 1.055352, acc: 0.421875] 29980: [discriminator loss: 0.556159, acc: 0.671875] [adversarial loss: 1.492321, acc: 0.171875] 29981: [discriminator loss: 0.464886, acc: 0.742188] [adversarial loss: 1.219613, acc: 0.281250] 29982: [discriminator loss: 0.479885, acc: 0.781250] [adversarial loss: 1.246221, acc: 0.250000] 29983: [discriminator loss: 0.538158, acc: 0.750000] [adversarial loss: 1.353448, acc: 0.250000] 29984: [discriminator loss: 0.464254, acc: 0.789062] [adversarial loss: 1.236544, acc: 0.296875] 29985: [discriminator loss: 0.514167, acc: 0.734375] [adversarial loss: 1.111544, acc: 0.312500] 29986: [discriminator loss: 0.538444, acc: 0.726562] [adversarial loss: 1.561237, acc: 0.187500] 29987: [discriminator loss: 0.534867, acc: 0.710938] [adversarial loss: 0.902055, acc: 0.468750] 29988: [discriminator loss: 0.562690, acc: 0.695312] [adversarial loss: 1.758112, acc: 0.140625] 29989: [discriminator loss: 0.490433, acc: 0.765625] [adversarial loss: 1.071427, acc: 0.421875] 29990: [discriminator loss: 0.506477, acc: 0.773438] [adversarial loss: 1.599514, acc: 0.171875] 29991: [discriminator loss: 0.489382, acc: 0.773438] [adversarial loss: 1.267193, acc: 0.390625] 29992: [discriminator loss: 0.464230, acc: 0.773438] [adversarial loss: 1.314748, acc: 0.265625] 29993: [discriminator loss: 0.550313, acc: 0.750000] [adversarial loss: 1.100540, acc: 0.421875] 29994: [discriminator loss: 0.509225, acc: 0.703125] [adversarial loss: 1.291272, acc: 0.234375] 29995: [discriminator loss: 0.496879, acc: 0.757812] [adversarial loss: 0.971951, acc: 0.437500] 29996: [discriminator loss: 0.496946, acc: 0.742188] [adversarial loss: 1.653211, acc: 0.031250] 29997: [discriminator loss: 0.476270, acc: 0.773438] [adversarial loss: 0.893889, acc: 0.390625] 29998: [discriminator loss: 0.499492, acc: 0.734375] [adversarial loss: 1.604434, acc: 0.203125] 29999: [discriminator loss: 0.601099, acc: 0.679688] [adversarial loss: 0.799544, acc: 0.531250] 30000: [discriminator loss: 0.660527, acc: 0.648438] [adversarial loss: 1.744697, acc: 0.031250] 30001: [discriminator loss: 0.534611, acc: 0.710938] [adversarial loss: 0.862898, acc: 0.406250] 30002: [discriminator loss: 0.529413, acc: 0.695312] [adversarial loss: 1.228722, acc: 0.281250] 30003: [discriminator loss: 0.481543, acc: 0.750000] [adversarial loss: 0.994544, acc: 0.375000] 30004: [discriminator loss: 0.480038, acc: 0.789062] [adversarial loss: 1.161937, acc: 0.312500] 30005: [discriminator loss: 0.524954, acc: 0.757812] [adversarial loss: 1.522462, acc: 0.156250] 30006: [discriminator loss: 0.487219, acc: 0.757812] [adversarial loss: 1.049528, acc: 0.359375] 30007: [discriminator loss: 0.493488, acc: 0.781250] [adversarial loss: 1.786141, acc: 0.062500] 30008: [discriminator loss: 0.551840, acc: 0.695312] [adversarial loss: 0.942022, acc: 0.296875] 30009: [discriminator loss: 0.502945, acc: 0.687500] [adversarial loss: 1.514316, acc: 0.171875] 30010: [discriminator loss: 0.515016, acc: 0.679688] [adversarial loss: 0.977177, acc: 0.406250] 30011: [discriminator loss: 0.541929, acc: 0.710938] [adversarial loss: 1.687322, acc: 0.125000] 30012: [discriminator loss: 0.538234, acc: 0.750000] [adversarial loss: 0.788101, acc: 0.531250] 30013: [discriminator loss: 0.525015, acc: 0.726562] [adversarial loss: 1.670787, acc: 0.062500] 30014: [discriminator loss: 0.591593, acc: 0.656250] [adversarial loss: 1.178813, acc: 0.296875] 30015: [discriminator loss: 0.461809, acc: 0.734375] [adversarial loss: 1.497202, acc: 0.171875] 30016: [discriminator loss: 0.584163, acc: 0.664062] [adversarial loss: 1.213222, acc: 0.250000] 30017: [discriminator loss: 0.498200, acc: 0.750000] [adversarial loss: 1.091906, acc: 0.421875] 30018: [discriminator loss: 0.529630, acc: 0.757812] [adversarial loss: 1.545046, acc: 0.140625] 30019: [discriminator loss: 0.503523, acc: 0.742188] [adversarial loss: 1.186246, acc: 0.296875] 30020: [discriminator loss: 0.536744, acc: 0.750000] [adversarial loss: 1.500303, acc: 0.171875] 30021: [discriminator loss: 0.512155, acc: 0.742188] [adversarial loss: 1.344230, acc: 0.250000] 30022: [discriminator loss: 0.570243, acc: 0.726562] [adversarial loss: 1.369597, acc: 0.187500] 30023: [discriminator loss: 0.479982, acc: 0.765625] [adversarial loss: 0.868326, acc: 0.484375] 30024: [discriminator loss: 0.458381, acc: 0.812500] [adversarial loss: 1.542042, acc: 0.109375] 30025: [discriminator loss: 0.541243, acc: 0.718750] [adversarial loss: 1.142371, acc: 0.328125] 30026: [discriminator loss: 0.502288, acc: 0.757812] [adversarial loss: 1.089937, acc: 0.312500] 30027: [discriminator loss: 0.461821, acc: 0.781250] [adversarial loss: 1.246728, acc: 0.312500] 30028: [discriminator loss: 0.494770, acc: 0.726562] [adversarial loss: 1.268623, acc: 0.234375] 30029: [discriminator loss: 0.553101, acc: 0.703125] [adversarial loss: 1.443347, acc: 0.171875] 30030: [discriminator loss: 0.599122, acc: 0.656250] [adversarial loss: 0.901589, acc: 0.437500] 30031: [discriminator loss: 0.598100, acc: 0.734375] [adversarial loss: 1.956933, acc: 0.031250] 30032: [discriminator loss: 0.584789, acc: 0.601562] [adversarial loss: 0.950976, acc: 0.453125] 30033: [discriminator loss: 0.490975, acc: 0.750000] [adversarial loss: 1.562963, acc: 0.156250] 30034: [discriminator loss: 0.538766, acc: 0.742188] [adversarial loss: 0.969442, acc: 0.421875] 30035: [discriminator loss: 0.500828, acc: 0.742188] [adversarial loss: 1.428001, acc: 0.218750] 30036: [discriminator loss: 0.509706, acc: 0.695312] [adversarial loss: 1.010660, acc: 0.375000] 30037: [discriminator loss: 0.554054, acc: 0.679688] [adversarial loss: 1.562205, acc: 0.109375] 30038: [discriminator loss: 0.508334, acc: 0.718750] [adversarial loss: 1.260620, acc: 0.281250] 30039: [discriminator loss: 0.494375, acc: 0.789062] [adversarial loss: 0.994625, acc: 0.390625] 30040: [discriminator loss: 0.501070, acc: 0.789062] [adversarial loss: 1.369460, acc: 0.156250] 30041: [discriminator loss: 0.590585, acc: 0.687500] [adversarial loss: 0.904836, acc: 0.468750] 30042: [discriminator loss: 0.514446, acc: 0.765625] [adversarial loss: 1.550288, acc: 0.109375] 30043: [discriminator loss: 0.560422, acc: 0.710938] [adversarial loss: 0.820966, acc: 0.500000] 30044: [discriminator loss: 0.475205, acc: 0.765625] [adversarial loss: 1.474810, acc: 0.156250] 30045: [discriminator loss: 0.496026, acc: 0.757812] [adversarial loss: 1.075815, acc: 0.296875] 30046: [discriminator loss: 0.555244, acc: 0.765625] [adversarial loss: 1.341655, acc: 0.234375] 30047: [discriminator loss: 0.520700, acc: 0.718750] [adversarial loss: 1.204283, acc: 0.250000] 30048: [discriminator loss: 0.505668, acc: 0.750000] [adversarial loss: 1.228927, acc: 0.343750] 30049: [discriminator loss: 0.484791, acc: 0.773438] [adversarial loss: 1.075284, acc: 0.484375] 30050: [discriminator loss: 0.493377, acc: 0.750000] [adversarial loss: 1.657580, acc: 0.187500] 30051: [discriminator loss: 0.592887, acc: 0.687500] [adversarial loss: 0.929662, acc: 0.406250] 30052: [discriminator loss: 0.521284, acc: 0.757812] [adversarial loss: 1.706580, acc: 0.156250] 30053: [discriminator loss: 0.597375, acc: 0.648438] [adversarial loss: 0.765091, acc: 0.593750] 30054: [discriminator loss: 0.585751, acc: 0.687500] [adversarial loss: 1.908102, acc: 0.078125] 30055: [discriminator loss: 0.534576, acc: 0.726562] [adversarial loss: 1.050265, acc: 0.390625] 30056: [discriminator loss: 0.453571, acc: 0.773438] [adversarial loss: 1.270422, acc: 0.281250] 30057: [discriminator loss: 0.456193, acc: 0.765625] [adversarial loss: 1.441577, acc: 0.171875] 30058: [discriminator loss: 0.565706, acc: 0.687500] [adversarial loss: 1.204764, acc: 0.312500] 30059: [discriminator loss: 0.519328, acc: 0.742188] [adversarial loss: 1.003575, acc: 0.375000] 30060: [discriminator loss: 0.493619, acc: 0.757812] [adversarial loss: 1.190112, acc: 0.359375] 30061: [discriminator loss: 0.545434, acc: 0.750000] [adversarial loss: 1.268684, acc: 0.234375] 30062: [discriminator loss: 0.617568, acc: 0.671875] [adversarial loss: 1.341256, acc: 0.171875] 30063: [discriminator loss: 0.497132, acc: 0.742188] [adversarial loss: 1.302052, acc: 0.218750] 30064: [discriminator loss: 0.527635, acc: 0.742188] [adversarial loss: 1.394405, acc: 0.156250] 30065: [discriminator loss: 0.535729, acc: 0.742188] [adversarial loss: 1.292621, acc: 0.265625] 30066: [discriminator loss: 0.489274, acc: 0.750000] [adversarial loss: 1.274568, acc: 0.265625] 30067: [discriminator loss: 0.526513, acc: 0.726562] [adversarial loss: 1.083191, acc: 0.296875] 30068: [discriminator loss: 0.553653, acc: 0.734375] [adversarial loss: 1.523103, acc: 0.093750] 30069: [discriminator loss: 0.565441, acc: 0.679688] [adversarial loss: 0.723888, acc: 0.531250] 30070: [discriminator loss: 0.559334, acc: 0.671875] [adversarial loss: 1.682287, acc: 0.093750] 30071: [discriminator loss: 0.495675, acc: 0.679688] [adversarial loss: 0.826353, acc: 0.515625] 30072: [discriminator loss: 0.563632, acc: 0.695312] [adversarial loss: 1.503242, acc: 0.171875] 30073: [discriminator loss: 0.452123, acc: 0.773438] [adversarial loss: 1.337517, acc: 0.234375] 30074: [discriminator loss: 0.515832, acc: 0.703125] [adversarial loss: 1.115664, acc: 0.265625] 30075: [discriminator loss: 0.515031, acc: 0.734375] [adversarial loss: 1.199316, acc: 0.218750] 30076: [discriminator loss: 0.575986, acc: 0.671875] [adversarial loss: 1.177765, acc: 0.312500] 30077: [discriminator loss: 0.527079, acc: 0.773438] [adversarial loss: 1.547653, acc: 0.156250] 30078: [discriminator loss: 0.530930, acc: 0.734375] [adversarial loss: 0.875535, acc: 0.453125] 30079: [discriminator loss: 0.548765, acc: 0.687500] [adversarial loss: 1.471209, acc: 0.187500] 30080: [discriminator loss: 0.502199, acc: 0.734375] [adversarial loss: 1.198720, acc: 0.296875] 30081: [discriminator loss: 0.571860, acc: 0.679688] [adversarial loss: 1.086541, acc: 0.343750] 30082: [discriminator loss: 0.504706, acc: 0.718750] [adversarial loss: 1.575786, acc: 0.109375] 30083: [discriminator loss: 0.521207, acc: 0.679688] [adversarial loss: 1.171212, acc: 0.359375] 30084: [discriminator loss: 0.461706, acc: 0.820312] [adversarial loss: 1.470482, acc: 0.218750] 30085: [discriminator loss: 0.553422, acc: 0.687500] [adversarial loss: 0.908592, acc: 0.468750] 30086: [discriminator loss: 0.541261, acc: 0.710938] [adversarial loss: 1.367875, acc: 0.156250] 30087: [discriminator loss: 0.438237, acc: 0.789062] [adversarial loss: 0.919487, acc: 0.437500] 30088: [discriminator loss: 0.494730, acc: 0.765625] [adversarial loss: 1.613977, acc: 0.093750] 30089: [discriminator loss: 0.552122, acc: 0.734375] [adversarial loss: 0.997857, acc: 0.359375] 30090: [discriminator loss: 0.528696, acc: 0.734375] [adversarial loss: 1.486940, acc: 0.203125] 30091: [discriminator loss: 0.487147, acc: 0.734375] [adversarial loss: 0.983836, acc: 0.375000] 30092: [discriminator loss: 0.512762, acc: 0.726562] [adversarial loss: 1.425528, acc: 0.125000] 30093: [discriminator loss: 0.591075, acc: 0.671875] [adversarial loss: 0.778552, acc: 0.562500] 30094: [discriminator loss: 0.538098, acc: 0.710938] [adversarial loss: 1.434945, acc: 0.187500] 30095: [discriminator loss: 0.581028, acc: 0.687500] [adversarial loss: 1.115892, acc: 0.406250] 30096: [discriminator loss: 0.522428, acc: 0.773438] [adversarial loss: 1.333216, acc: 0.125000] 30097: [discriminator loss: 0.526085, acc: 0.718750] [adversarial loss: 1.274137, acc: 0.296875] 30098: [discriminator loss: 0.471227, acc: 0.789062] [adversarial loss: 1.487347, acc: 0.187500] 30099: [discriminator loss: 0.528463, acc: 0.742188] [adversarial loss: 1.433108, acc: 0.156250] 30100: [discriminator loss: 0.503325, acc: 0.742188] [adversarial loss: 1.303114, acc: 0.250000] 30101: [discriminator loss: 0.506320, acc: 0.726562] [adversarial loss: 1.018742, acc: 0.265625] 30102: [discriminator loss: 0.507617, acc: 0.734375] [adversarial loss: 1.580445, acc: 0.140625] 30103: [discriminator loss: 0.511735, acc: 0.726562] [adversarial loss: 1.164806, acc: 0.203125] 30104: [discriminator loss: 0.538793, acc: 0.679688] [adversarial loss: 1.155982, acc: 0.343750] 30105: [discriminator loss: 0.468415, acc: 0.742188] [adversarial loss: 1.365990, acc: 0.281250] 30106: [discriminator loss: 0.554291, acc: 0.695312] [adversarial loss: 1.155293, acc: 0.296875] 30107: [discriminator loss: 0.522011, acc: 0.710938] [adversarial loss: 1.617794, acc: 0.046875] 30108: [discriminator loss: 0.511518, acc: 0.734375] [adversarial loss: 0.932521, acc: 0.406250] 30109: [discriminator loss: 0.568561, acc: 0.718750] [adversarial loss: 1.594758, acc: 0.125000] 30110: [discriminator loss: 0.545758, acc: 0.718750] [adversarial loss: 0.998987, acc: 0.390625] 30111: [discriminator loss: 0.539241, acc: 0.718750] [adversarial loss: 2.023212, acc: 0.046875] 30112: [discriminator loss: 0.481788, acc: 0.773438] [adversarial loss: 0.918936, acc: 0.421875] 30113: [discriminator loss: 0.583514, acc: 0.695312] [adversarial loss: 1.650827, acc: 0.140625] 30114: [discriminator loss: 0.593410, acc: 0.695312] [adversarial loss: 0.959264, acc: 0.500000] 30115: [discriminator loss: 0.462026, acc: 0.757812] [adversarial loss: 1.617031, acc: 0.093750] 30116: [discriminator loss: 0.464535, acc: 0.781250] [adversarial loss: 1.030429, acc: 0.421875] 30117: [discriminator loss: 0.577419, acc: 0.679688] [adversarial loss: 1.618986, acc: 0.156250] 30118: [discriminator loss: 0.628631, acc: 0.648438] [adversarial loss: 1.023968, acc: 0.375000] 30119: [discriminator loss: 0.539949, acc: 0.734375] [adversarial loss: 1.199410, acc: 0.250000] 30120: [discriminator loss: 0.505028, acc: 0.750000] [adversarial loss: 1.276099, acc: 0.234375] 30121: [discriminator loss: 0.481283, acc: 0.757812] [adversarial loss: 1.167570, acc: 0.312500] 30122: [discriminator loss: 0.428221, acc: 0.851562] [adversarial loss: 1.258076, acc: 0.265625] 30123: [discriminator loss: 0.511630, acc: 0.750000] [adversarial loss: 1.338159, acc: 0.265625] 30124: [discriminator loss: 0.492430, acc: 0.765625] [adversarial loss: 1.212289, acc: 0.312500] 30125: [discriminator loss: 0.481054, acc: 0.757812] [adversarial loss: 1.090282, acc: 0.312500] 30126: [discriminator loss: 0.522211, acc: 0.703125] [adversarial loss: 1.125246, acc: 0.250000] 30127: [discriminator loss: 0.470872, acc: 0.828125] [adversarial loss: 1.012571, acc: 0.359375] 30128: [discriminator loss: 0.511886, acc: 0.718750] [adversarial loss: 1.353757, acc: 0.156250] 30129: [discriminator loss: 0.468461, acc: 0.765625] [adversarial loss: 1.219904, acc: 0.265625] 30130: [discriminator loss: 0.503173, acc: 0.742188] [adversarial loss: 1.043942, acc: 0.375000] 30131: [discriminator loss: 0.464613, acc: 0.750000] [adversarial loss: 1.844971, acc: 0.062500] 30132: [discriminator loss: 0.533592, acc: 0.710938] [adversarial loss: 0.836116, acc: 0.484375] 30133: [discriminator loss: 0.606165, acc: 0.664062] [adversarial loss: 1.854477, acc: 0.093750] 30134: [discriminator loss: 0.598960, acc: 0.664062] [adversarial loss: 0.732578, acc: 0.546875] 30135: [discriminator loss: 0.529290, acc: 0.718750] [adversarial loss: 1.680688, acc: 0.125000] 30136: [discriminator loss: 0.571805, acc: 0.734375] [adversarial loss: 0.978814, acc: 0.437500] 30137: [discriminator loss: 0.572897, acc: 0.710938] [adversarial loss: 1.471133, acc: 0.171875] 30138: [discriminator loss: 0.519144, acc: 0.757812] [adversarial loss: 1.124118, acc: 0.328125] 30139: [discriminator loss: 0.497320, acc: 0.773438] [adversarial loss: 1.576178, acc: 0.187500] 30140: [discriminator loss: 0.446264, acc: 0.765625] [adversarial loss: 1.238017, acc: 0.234375] 30141: [discriminator loss: 0.473931, acc: 0.796875] [adversarial loss: 1.247804, acc: 0.265625] 30142: [discriminator loss: 0.554710, acc: 0.718750] [adversarial loss: 1.336127, acc: 0.218750] 30143: [discriminator loss: 0.547621, acc: 0.718750] [adversarial loss: 1.015540, acc: 0.468750] 30144: [discriminator loss: 0.467277, acc: 0.757812] [adversarial loss: 1.094687, acc: 0.359375] 30145: [discriminator loss: 0.502376, acc: 0.757812] [adversarial loss: 1.396713, acc: 0.203125] 30146: [discriminator loss: 0.533132, acc: 0.718750] [adversarial loss: 1.206597, acc: 0.281250] 30147: [discriminator loss: 0.510299, acc: 0.710938] [adversarial loss: 1.114132, acc: 0.312500] 30148: [discriminator loss: 0.488950, acc: 0.765625] [adversarial loss: 1.745965, acc: 0.078125] 30149: [discriminator loss: 0.556122, acc: 0.703125] [adversarial loss: 0.776096, acc: 0.578125] 30150: [discriminator loss: 0.520626, acc: 0.757812] [adversarial loss: 1.663429, acc: 0.109375] 30151: [discriminator loss: 0.535902, acc: 0.710938] [adversarial loss: 0.718345, acc: 0.562500] 30152: [discriminator loss: 0.560319, acc: 0.726562] [adversarial loss: 1.369754, acc: 0.234375] 30153: [discriminator loss: 0.580072, acc: 0.718750] [adversarial loss: 0.998308, acc: 0.375000] 30154: [discriminator loss: 0.462598, acc: 0.773438] [adversarial loss: 1.099762, acc: 0.390625] 30155: [discriminator loss: 0.482665, acc: 0.781250] [adversarial loss: 1.701536, acc: 0.078125] 30156: [discriminator loss: 0.506892, acc: 0.726562] [adversarial loss: 1.076227, acc: 0.437500] 30157: [discriminator loss: 0.523790, acc: 0.765625] [adversarial loss: 1.477325, acc: 0.187500] 30158: [discriminator loss: 0.587434, acc: 0.625000] [adversarial loss: 1.120299, acc: 0.375000] 30159: [discriminator loss: 0.535404, acc: 0.742188] [adversarial loss: 1.448767, acc: 0.156250] 30160: [discriminator loss: 0.491315, acc: 0.750000] [adversarial loss: 1.182682, acc: 0.281250] 30161: [discriminator loss: 0.546966, acc: 0.726562] [adversarial loss: 1.629450, acc: 0.109375] 30162: [discriminator loss: 0.592558, acc: 0.687500] [adversarial loss: 1.187082, acc: 0.296875] 30163: [discriminator loss: 0.533728, acc: 0.742188] [adversarial loss: 1.421873, acc: 0.140625] 30164: [discriminator loss: 0.527516, acc: 0.734375] [adversarial loss: 1.040263, acc: 0.343750] 30165: [discriminator loss: 0.491802, acc: 0.804688] [adversarial loss: 1.890018, acc: 0.093750] 30166: [discriminator loss: 0.590879, acc: 0.648438] [adversarial loss: 0.958950, acc: 0.531250] 30167: [discriminator loss: 0.546504, acc: 0.734375] [adversarial loss: 1.846237, acc: 0.062500] 30168: [discriminator loss: 0.575346, acc: 0.648438] [adversarial loss: 0.939920, acc: 0.312500] 30169: [discriminator loss: 0.539718, acc: 0.695312] [adversarial loss: 1.598496, acc: 0.109375] 30170: [discriminator loss: 0.438308, acc: 0.804688] [adversarial loss: 1.161270, acc: 0.296875] 30171: [discriminator loss: 0.519999, acc: 0.734375] [adversarial loss: 1.332252, acc: 0.234375] 30172: [discriminator loss: 0.535622, acc: 0.757812] [adversarial loss: 0.984175, acc: 0.484375] 30173: [discriminator loss: 0.595893, acc: 0.687500] [adversarial loss: 1.893927, acc: 0.093750] 30174: [discriminator loss: 0.511834, acc: 0.710938] [adversarial loss: 0.838082, acc: 0.562500] 30175: [discriminator loss: 0.564620, acc: 0.695312] [adversarial loss: 1.498407, acc: 0.171875] 30176: [discriminator loss: 0.565544, acc: 0.679688] [adversarial loss: 0.983658, acc: 0.453125] 30177: [discriminator loss: 0.510023, acc: 0.742188] [adversarial loss: 1.445695, acc: 0.156250] 30178: [discriminator loss: 0.541800, acc: 0.664062] [adversarial loss: 1.011981, acc: 0.359375] 30179: [discriminator loss: 0.556043, acc: 0.695312] [adversarial loss: 1.674774, acc: 0.046875] 30180: [discriminator loss: 0.498472, acc: 0.765625] [adversarial loss: 1.173244, acc: 0.343750] 30181: [discriminator loss: 0.487841, acc: 0.726562] [adversarial loss: 1.321570, acc: 0.156250] 30182: [discriminator loss: 0.573426, acc: 0.664062] [adversarial loss: 0.855721, acc: 0.531250] 30183: [discriminator loss: 0.545249, acc: 0.734375] [adversarial loss: 1.435214, acc: 0.187500] 30184: [discriminator loss: 0.563504, acc: 0.703125] [adversarial loss: 0.842283, acc: 0.515625] 30185: [discriminator loss: 0.539693, acc: 0.718750] [adversarial loss: 1.427590, acc: 0.187500] 30186: [discriminator loss: 0.478042, acc: 0.757812] [adversarial loss: 0.775358, acc: 0.515625] 30187: [discriminator loss: 0.600975, acc: 0.695312] [adversarial loss: 1.393852, acc: 0.187500] 30188: [discriminator loss: 0.577536, acc: 0.710938] [adversarial loss: 0.746008, acc: 0.531250] 30189: [discriminator loss: 0.562236, acc: 0.671875] [adversarial loss: 1.557498, acc: 0.140625] 30190: [discriminator loss: 0.542888, acc: 0.703125] [adversarial loss: 0.944675, acc: 0.468750] 30191: [discriminator loss: 0.553458, acc: 0.703125] [adversarial loss: 1.428237, acc: 0.203125] 30192: [discriminator loss: 0.545630, acc: 0.656250] [adversarial loss: 0.987735, acc: 0.406250] 30193: [discriminator loss: 0.488114, acc: 0.742188] [adversarial loss: 1.539149, acc: 0.109375] 30194: [discriminator loss: 0.548975, acc: 0.734375] [adversarial loss: 1.080034, acc: 0.265625] 30195: [discriminator loss: 0.556221, acc: 0.664062] [adversarial loss: 1.558362, acc: 0.171875] 30196: [discriminator loss: 0.584922, acc: 0.687500] [adversarial loss: 1.100758, acc: 0.265625] 30197: [discriminator loss: 0.473956, acc: 0.765625] [adversarial loss: 1.213958, acc: 0.250000] 30198: [discriminator loss: 0.532634, acc: 0.710938] [adversarial loss: 0.998299, acc: 0.375000] 30199: [discriminator loss: 0.501111, acc: 0.734375] [adversarial loss: 1.249562, acc: 0.343750] 30200: [discriminator loss: 0.511879, acc: 0.734375] [adversarial loss: 1.105957, acc: 0.312500] 30201: [discriminator loss: 0.459221, acc: 0.804688] [adversarial loss: 1.647819, acc: 0.125000] 30202: [discriminator loss: 0.481559, acc: 0.742188] [adversarial loss: 1.101830, acc: 0.296875] 30203: [discriminator loss: 0.532517, acc: 0.687500] [adversarial loss: 1.632308, acc: 0.140625] 30204: [discriminator loss: 0.500621, acc: 0.718750] [adversarial loss: 1.379160, acc: 0.218750] 30205: [discriminator loss: 0.514950, acc: 0.757812] [adversarial loss: 1.455354, acc: 0.109375] 30206: [discriminator loss: 0.556779, acc: 0.671875] [adversarial loss: 1.187221, acc: 0.265625] 30207: [discriminator loss: 0.527203, acc: 0.710938] [adversarial loss: 1.535997, acc: 0.171875] 30208: [discriminator loss: 0.524807, acc: 0.726562] [adversarial loss: 0.994871, acc: 0.375000] 30209: [discriminator loss: 0.549660, acc: 0.710938] [adversarial loss: 1.729348, acc: 0.171875] 30210: [discriminator loss: 0.550956, acc: 0.710938] [adversarial loss: 0.967738, acc: 0.453125] 30211: [discriminator loss: 0.495755, acc: 0.773438] [adversarial loss: 1.681909, acc: 0.109375] 30212: [discriminator loss: 0.563843, acc: 0.679688] [adversarial loss: 1.373672, acc: 0.218750] 30213: [discriminator loss: 0.586155, acc: 0.679688] [adversarial loss: 1.317824, acc: 0.203125] 30214: [discriminator loss: 0.472218, acc: 0.796875] [adversarial loss: 0.908348, acc: 0.468750] 30215: [discriminator loss: 0.463722, acc: 0.812500] [adversarial loss: 1.190623, acc: 0.250000] 30216: [discriminator loss: 0.606010, acc: 0.687500] [adversarial loss: 1.608868, acc: 0.046875] 30217: [discriminator loss: 0.528958, acc: 0.750000] [adversarial loss: 0.749129, acc: 0.640625] 30218: [discriminator loss: 0.572330, acc: 0.734375] [adversarial loss: 1.547063, acc: 0.140625] 30219: [discriminator loss: 0.572890, acc: 0.632812] [adversarial loss: 0.924321, acc: 0.453125] 30220: [discriminator loss: 0.553544, acc: 0.679688] [adversarial loss: 1.648428, acc: 0.140625] 30221: [discriminator loss: 0.567431, acc: 0.710938] [adversarial loss: 0.996343, acc: 0.406250] 30222: [discriminator loss: 0.533927, acc: 0.726562] [adversarial loss: 1.547292, acc: 0.125000] 30223: [discriminator loss: 0.566938, acc: 0.695312] [adversarial loss: 1.037897, acc: 0.375000] 30224: [discriminator loss: 0.465987, acc: 0.765625] [adversarial loss: 1.505042, acc: 0.140625] 30225: [discriminator loss: 0.574321, acc: 0.687500] [adversarial loss: 1.013791, acc: 0.359375] 30226: [discriminator loss: 0.492496, acc: 0.765625] [adversarial loss: 1.737466, acc: 0.093750] 30227: [discriminator loss: 0.603436, acc: 0.640625] [adversarial loss: 0.942980, acc: 0.390625] 30228: [discriminator loss: 0.566741, acc: 0.710938] [adversarial loss: 1.533452, acc: 0.109375] 30229: [discriminator loss: 0.578500, acc: 0.679688] [adversarial loss: 0.927772, acc: 0.406250] 30230: [discriminator loss: 0.497714, acc: 0.789062] [adversarial loss: 1.656141, acc: 0.046875] 30231: [discriminator loss: 0.596474, acc: 0.664062] [adversarial loss: 0.911851, acc: 0.390625] 30232: [discriminator loss: 0.528140, acc: 0.695312] [adversarial loss: 1.270412, acc: 0.281250] 30233: [discriminator loss: 0.560539, acc: 0.718750] [adversarial loss: 0.989280, acc: 0.437500] 30234: [discriminator loss: 0.507930, acc: 0.742188] [adversarial loss: 1.234513, acc: 0.375000] 30235: [discriminator loss: 0.557281, acc: 0.671875] [adversarial loss: 1.074425, acc: 0.375000] 30236: [discriminator loss: 0.567832, acc: 0.703125] [adversarial loss: 1.654068, acc: 0.078125] 30237: [discriminator loss: 0.501869, acc: 0.695312] [adversarial loss: 1.009250, acc: 0.375000] 30238: [discriminator loss: 0.602381, acc: 0.687500] [adversarial loss: 1.506056, acc: 0.203125] 30239: [discriminator loss: 0.548294, acc: 0.695312] [adversarial loss: 0.980781, acc: 0.406250] 30240: [discriminator loss: 0.564845, acc: 0.648438] [adversarial loss: 1.277504, acc: 0.156250] 30241: [discriminator loss: 0.606995, acc: 0.664062] [adversarial loss: 1.059088, acc: 0.359375] 30242: [discriminator loss: 0.554378, acc: 0.750000] [adversarial loss: 1.542778, acc: 0.187500] 30243: [discriminator loss: 0.500683, acc: 0.773438] [adversarial loss: 0.868663, acc: 0.468750] 30244: [discriminator loss: 0.522901, acc: 0.726562] [adversarial loss: 1.424165, acc: 0.203125] 30245: [discriminator loss: 0.554668, acc: 0.671875] [adversarial loss: 1.005674, acc: 0.437500] 30246: [discriminator loss: 0.519641, acc: 0.750000] [adversarial loss: 1.564460, acc: 0.171875] 30247: [discriminator loss: 0.534060, acc: 0.742188] [adversarial loss: 1.004116, acc: 0.390625] 30248: [discriminator loss: 0.528620, acc: 0.726562] [adversarial loss: 1.236605, acc: 0.265625] 30249: [discriminator loss: 0.520478, acc: 0.742188] [adversarial loss: 1.041876, acc: 0.375000] 30250: [discriminator loss: 0.534310, acc: 0.757812] [adversarial loss: 1.196884, acc: 0.265625] 30251: [discriminator loss: 0.481353, acc: 0.757812] [adversarial loss: 1.002795, acc: 0.375000] 30252: [discriminator loss: 0.467992, acc: 0.789062] [adversarial loss: 1.291895, acc: 0.234375] 30253: [discriminator loss: 0.497364, acc: 0.757812] [adversarial loss: 1.265046, acc: 0.218750] 30254: [discriminator loss: 0.574656, acc: 0.656250] [adversarial loss: 1.088883, acc: 0.234375] 30255: [discriminator loss: 0.535638, acc: 0.726562] [adversarial loss: 1.435938, acc: 0.125000] 30256: [discriminator loss: 0.535616, acc: 0.687500] [adversarial loss: 1.181951, acc: 0.375000] 30257: [discriminator loss: 0.558285, acc: 0.710938] [adversarial loss: 1.465605, acc: 0.203125] 30258: [discriminator loss: 0.544729, acc: 0.726562] [adversarial loss: 1.112114, acc: 0.250000] 30259: [discriminator loss: 0.503412, acc: 0.742188] [adversarial loss: 1.155616, acc: 0.328125] 30260: [discriminator loss: 0.541584, acc: 0.710938] [adversarial loss: 1.477519, acc: 0.078125] 30261: [discriminator loss: 0.570425, acc: 0.679688] [adversarial loss: 0.967382, acc: 0.437500] 30262: [discriminator loss: 0.474934, acc: 0.765625] [adversarial loss: 1.279628, acc: 0.281250] 30263: [discriminator loss: 0.538001, acc: 0.710938] [adversarial loss: 1.325063, acc: 0.234375] 30264: [discriminator loss: 0.553688, acc: 0.703125] [adversarial loss: 1.412919, acc: 0.234375] 30265: [discriminator loss: 0.502207, acc: 0.710938] [adversarial loss: 1.081143, acc: 0.312500] 30266: [discriminator loss: 0.500196, acc: 0.742188] [adversarial loss: 1.429735, acc: 0.203125] 30267: [discriminator loss: 0.532545, acc: 0.679688] [adversarial loss: 1.151415, acc: 0.265625] 30268: [discriminator loss: 0.494645, acc: 0.765625] [adversarial loss: 1.770972, acc: 0.046875] 30269: [discriminator loss: 0.552838, acc: 0.664062] [adversarial loss: 0.753825, acc: 0.484375] 30270: [discriminator loss: 0.589995, acc: 0.695312] [adversarial loss: 1.520216, acc: 0.171875] 30271: [discriminator loss: 0.529121, acc: 0.710938] [adversarial loss: 0.857673, acc: 0.546875] 30272: [discriminator loss: 0.619491, acc: 0.632812] [adversarial loss: 1.852677, acc: 0.109375] 30273: [discriminator loss: 0.548784, acc: 0.687500] [adversarial loss: 0.906077, acc: 0.515625] 30274: [discriminator loss: 0.591532, acc: 0.710938] [adversarial loss: 1.822220, acc: 0.078125] 30275: [discriminator loss: 0.528172, acc: 0.687500] [adversarial loss: 1.038329, acc: 0.312500] 30276: [discriminator loss: 0.618545, acc: 0.679688] [adversarial loss: 1.699661, acc: 0.125000] 30277: [discriminator loss: 0.575231, acc: 0.664062] [adversarial loss: 1.145932, acc: 0.343750] 30278: [discriminator loss: 0.502943, acc: 0.765625] [adversarial loss: 1.254120, acc: 0.328125] 30279: [discriminator loss: 0.531987, acc: 0.765625] [adversarial loss: 1.258527, acc: 0.234375] 30280: [discriminator loss: 0.564996, acc: 0.726562] [adversarial loss: 1.436531, acc: 0.171875] 30281: [discriminator loss: 0.497268, acc: 0.734375] [adversarial loss: 1.069438, acc: 0.343750] 30282: [discriminator loss: 0.478563, acc: 0.781250] [adversarial loss: 1.240837, acc: 0.281250] 30283: [discriminator loss: 0.542116, acc: 0.695312] [adversarial loss: 1.197315, acc: 0.250000] 30284: [discriminator loss: 0.527112, acc: 0.695312] [adversarial loss: 1.337793, acc: 0.250000] 30285: [discriminator loss: 0.515578, acc: 0.742188] [adversarial loss: 1.305232, acc: 0.250000] 30286: [discriminator loss: 0.446341, acc: 0.773438] [adversarial loss: 1.139130, acc: 0.343750] 30287: [discriminator loss: 0.520468, acc: 0.796875] [adversarial loss: 1.651477, acc: 0.140625] 30288: [discriminator loss: 0.627162, acc: 0.679688] [adversarial loss: 0.910425, acc: 0.531250] 30289: [discriminator loss: 0.570008, acc: 0.773438] [adversarial loss: 1.829413, acc: 0.109375] 30290: [discriminator loss: 0.565758, acc: 0.671875] [adversarial loss: 1.045989, acc: 0.375000] 30291: [discriminator loss: 0.508264, acc: 0.718750] [adversarial loss: 1.279818, acc: 0.203125] 30292: [discriminator loss: 0.585788, acc: 0.703125] [adversarial loss: 0.862829, acc: 0.421875] 30293: [discriminator loss: 0.582831, acc: 0.742188] [adversarial loss: 1.387426, acc: 0.234375] 30294: [discriminator loss: 0.518701, acc: 0.757812] [adversarial loss: 1.202155, acc: 0.234375] 30295: [discriminator loss: 0.528558, acc: 0.742188] [adversarial loss: 1.205081, acc: 0.218750] 30296: [discriminator loss: 0.530051, acc: 0.765625] [adversarial loss: 1.483178, acc: 0.187500] 30297: [discriminator loss: 0.495320, acc: 0.734375] [adversarial loss: 1.082591, acc: 0.328125] 30298: [discriminator loss: 0.536761, acc: 0.726562] [adversarial loss: 0.959897, acc: 0.406250] 30299: [discriminator loss: 0.479146, acc: 0.742188] [adversarial loss: 1.036688, acc: 0.406250] 30300: [discriminator loss: 0.530498, acc: 0.734375] [adversarial loss: 1.230073, acc: 0.281250] 30301: [discriminator loss: 0.498404, acc: 0.750000] [adversarial loss: 1.398601, acc: 0.265625] 30302: [discriminator loss: 0.483424, acc: 0.750000] [adversarial loss: 0.878515, acc: 0.468750] 30303: [discriminator loss: 0.553407, acc: 0.710938] [adversarial loss: 2.095860, acc: 0.031250] 30304: [discriminator loss: 0.596105, acc: 0.679688] [adversarial loss: 0.843671, acc: 0.546875] 30305: [discriminator loss: 0.535555, acc: 0.734375] [adversarial loss: 1.505255, acc: 0.109375] 30306: [discriminator loss: 0.560458, acc: 0.671875] [adversarial loss: 0.850909, acc: 0.500000] 30307: [discriminator loss: 0.570842, acc: 0.695312] [adversarial loss: 1.472093, acc: 0.218750] 30308: [discriminator loss: 0.508849, acc: 0.734375] [adversarial loss: 1.213710, acc: 0.265625] 30309: [discriminator loss: 0.472716, acc: 0.757812] [adversarial loss: 1.112254, acc: 0.390625] 30310: [discriminator loss: 0.568351, acc: 0.703125] [adversarial loss: 1.154957, acc: 0.234375] 30311: [discriminator loss: 0.482120, acc: 0.757812] [adversarial loss: 1.372306, acc: 0.234375] 30312: [discriminator loss: 0.525367, acc: 0.703125] [adversarial loss: 1.131803, acc: 0.312500] 30313: [discriminator loss: 0.566361, acc: 0.671875] [adversarial loss: 1.332865, acc: 0.250000] 30314: [discriminator loss: 0.532711, acc: 0.734375] [adversarial loss: 1.129204, acc: 0.296875] 30315: [discriminator loss: 0.515342, acc: 0.710938] [adversarial loss: 1.378330, acc: 0.171875] 30316: [discriminator loss: 0.532133, acc: 0.750000] [adversarial loss: 1.082755, acc: 0.312500] 30317: [discriminator loss: 0.537698, acc: 0.726562] [adversarial loss: 1.460693, acc: 0.125000] 30318: [discriminator loss: 0.551994, acc: 0.656250] [adversarial loss: 1.239330, acc: 0.187500] 30319: [discriminator loss: 0.520101, acc: 0.757812] [adversarial loss: 1.137038, acc: 0.343750] 30320: [discriminator loss: 0.455948, acc: 0.765625] [adversarial loss: 1.096497, acc: 0.359375] 30321: [discriminator loss: 0.460428, acc: 0.742188] [adversarial loss: 1.477290, acc: 0.156250] 30322: [discriminator loss: 0.536718, acc: 0.734375] [adversarial loss: 1.099461, acc: 0.296875] 30323: [discriminator loss: 0.505429, acc: 0.757812] [adversarial loss: 1.284379, acc: 0.312500] 30324: [discriminator loss: 0.497393, acc: 0.710938] [adversarial loss: 1.258438, acc: 0.187500] 30325: [discriminator loss: 0.524807, acc: 0.773438] [adversarial loss: 1.160051, acc: 0.312500] 30326: [discriminator loss: 0.503199, acc: 0.765625] [adversarial loss: 1.283051, acc: 0.171875] 30327: [discriminator loss: 0.475922, acc: 0.750000] [adversarial loss: 1.347527, acc: 0.203125] 30328: [discriminator loss: 0.537388, acc: 0.757812] [adversarial loss: 1.124856, acc: 0.406250] 30329: [discriminator loss: 0.544091, acc: 0.750000] [adversarial loss: 1.832134, acc: 0.093750] 30330: [discriminator loss: 0.562623, acc: 0.718750] [adversarial loss: 0.640443, acc: 0.671875] 30331: [discriminator loss: 0.561926, acc: 0.718750] [adversarial loss: 1.894979, acc: 0.125000] 30332: [discriminator loss: 0.577973, acc: 0.703125] [adversarial loss: 0.969209, acc: 0.453125] 30333: [discriminator loss: 0.549018, acc: 0.734375] [adversarial loss: 1.446063, acc: 0.203125] 30334: [discriminator loss: 0.575676, acc: 0.695312] [adversarial loss: 0.958447, acc: 0.406250] 30335: [discriminator loss: 0.512134, acc: 0.734375] [adversarial loss: 1.553922, acc: 0.218750] 30336: [discriminator loss: 0.540415, acc: 0.710938] [adversarial loss: 1.088245, acc: 0.328125] 30337: [discriminator loss: 0.539111, acc: 0.773438] [adversarial loss: 1.380645, acc: 0.156250] 30338: [discriminator loss: 0.547622, acc: 0.687500] [adversarial loss: 0.908630, acc: 0.468750] 30339: [discriminator loss: 0.564228, acc: 0.710938] [adversarial loss: 1.625940, acc: 0.125000] 30340: [discriminator loss: 0.573197, acc: 0.648438] [adversarial loss: 0.942232, acc: 0.390625] 30341: [discriminator loss: 0.502939, acc: 0.742188] [adversarial loss: 1.464271, acc: 0.109375] 30342: [discriminator loss: 0.560008, acc: 0.679688] [adversarial loss: 1.229789, acc: 0.187500] 30343: [discriminator loss: 0.485614, acc: 0.765625] [adversarial loss: 1.035475, acc: 0.359375] 30344: [discriminator loss: 0.539818, acc: 0.718750] [adversarial loss: 1.203500, acc: 0.218750] 30345: [discriminator loss: 0.507505, acc: 0.734375] [adversarial loss: 1.296512, acc: 0.234375] 30346: [discriminator loss: 0.508733, acc: 0.734375] [adversarial loss: 1.233587, acc: 0.281250] 30347: [discriminator loss: 0.483005, acc: 0.765625] [adversarial loss: 1.384587, acc: 0.187500] 30348: [discriminator loss: 0.536341, acc: 0.703125] [adversarial loss: 1.232530, acc: 0.250000] 30349: [discriminator loss: 0.538860, acc: 0.757812] [adversarial loss: 1.228431, acc: 0.281250] 30350: [discriminator loss: 0.545831, acc: 0.695312] [adversarial loss: 1.611468, acc: 0.187500] 30351: [discriminator loss: 0.483957, acc: 0.734375] [adversarial loss: 1.409682, acc: 0.218750] 30352: [discriminator loss: 0.528965, acc: 0.726562] [adversarial loss: 1.494789, acc: 0.234375] 30353: [discriminator loss: 0.454838, acc: 0.781250] [adversarial loss: 1.579723, acc: 0.125000] 30354: [discriminator loss: 0.530738, acc: 0.710938] [adversarial loss: 0.936197, acc: 0.375000] 30355: [discriminator loss: 0.586122, acc: 0.718750] [adversarial loss: 1.769820, acc: 0.109375] 30356: [discriminator loss: 0.470635, acc: 0.726562] [adversarial loss: 0.752743, acc: 0.593750] 30357: [discriminator loss: 0.593416, acc: 0.687500] [adversarial loss: 1.915490, acc: 0.046875] 30358: [discriminator loss: 0.527682, acc: 0.726562] [adversarial loss: 0.974380, acc: 0.421875] 30359: [discriminator loss: 0.535331, acc: 0.695312] [adversarial loss: 1.540507, acc: 0.187500] 30360: [discriminator loss: 0.506167, acc: 0.734375] [adversarial loss: 0.953838, acc: 0.375000] 30361: [discriminator loss: 0.505430, acc: 0.750000] [adversarial loss: 1.228813, acc: 0.234375] 30362: [discriminator loss: 0.530113, acc: 0.718750] [adversarial loss: 1.069631, acc: 0.343750] 30363: [discriminator loss: 0.482279, acc: 0.804688] [adversarial loss: 1.404640, acc: 0.171875] 30364: [discriminator loss: 0.537132, acc: 0.757812] [adversarial loss: 1.149249, acc: 0.312500] 30365: [discriminator loss: 0.533798, acc: 0.742188] [adversarial loss: 1.504149, acc: 0.109375] 30366: [discriminator loss: 0.555536, acc: 0.710938] [adversarial loss: 0.926735, acc: 0.437500] 30367: [discriminator loss: 0.580174, acc: 0.695312] [adversarial loss: 1.492142, acc: 0.156250] 30368: [discriminator loss: 0.528791, acc: 0.773438] [adversarial loss: 1.590126, acc: 0.171875] 30369: [discriminator loss: 0.640650, acc: 0.632812] [adversarial loss: 1.186629, acc: 0.234375] 30370: [discriminator loss: 0.538920, acc: 0.687500] [adversarial loss: 1.177847, acc: 0.234375] 30371: [discriminator loss: 0.525192, acc: 0.710938] [adversarial loss: 1.239465, acc: 0.312500] 30372: [discriminator loss: 0.523312, acc: 0.742188] [adversarial loss: 1.476569, acc: 0.140625] 30373: [discriminator loss: 0.451595, acc: 0.820312] [adversarial loss: 1.171828, acc: 0.359375] 30374: [discriminator loss: 0.477498, acc: 0.773438] [adversarial loss: 1.041367, acc: 0.390625] 30375: [discriminator loss: 0.521403, acc: 0.703125] [adversarial loss: 1.674637, acc: 0.078125] 30376: [discriminator loss: 0.669251, acc: 0.625000] [adversarial loss: 0.993789, acc: 0.437500] 30377: [discriminator loss: 0.532836, acc: 0.734375] [adversarial loss: 1.650400, acc: 0.140625] 30378: [discriminator loss: 0.537922, acc: 0.726562] [adversarial loss: 1.059339, acc: 0.375000] 30379: [discriminator loss: 0.657236, acc: 0.625000] [adversarial loss: 1.930481, acc: 0.046875] 30380: [discriminator loss: 0.569656, acc: 0.710938] [adversarial loss: 0.960847, acc: 0.453125] 30381: [discriminator loss: 0.566031, acc: 0.695312] [adversarial loss: 1.518508, acc: 0.062500] 30382: [discriminator loss: 0.577089, acc: 0.703125] [adversarial loss: 1.332292, acc: 0.218750] 30383: [discriminator loss: 0.535794, acc: 0.750000] [adversarial loss: 1.039279, acc: 0.406250] 30384: [discriminator loss: 0.558212, acc: 0.687500] [adversarial loss: 1.134949, acc: 0.406250] 30385: [discriminator loss: 0.515669, acc: 0.742188] [adversarial loss: 1.281275, acc: 0.140625] 30386: [discriminator loss: 0.489259, acc: 0.796875] [adversarial loss: 1.457243, acc: 0.203125] 30387: [discriminator loss: 0.537318, acc: 0.710938] [adversarial loss: 1.239959, acc: 0.218750] 30388: [discriminator loss: 0.577013, acc: 0.726562] [adversarial loss: 1.113080, acc: 0.375000] 30389: [discriminator loss: 0.587144, acc: 0.679688] [adversarial loss: 1.170717, acc: 0.218750] 30390: [discriminator loss: 0.483995, acc: 0.773438] [adversarial loss: 1.582495, acc: 0.156250] 30391: [discriminator loss: 0.519187, acc: 0.726562] [adversarial loss: 1.165393, acc: 0.390625] 30392: [discriminator loss: 0.523820, acc: 0.710938] [adversarial loss: 1.332624, acc: 0.250000] 30393: [discriminator loss: 0.494262, acc: 0.750000] [adversarial loss: 1.412587, acc: 0.187500] 30394: [discriminator loss: 0.446959, acc: 0.804688] [adversarial loss: 0.984341, acc: 0.406250] 30395: [discriminator loss: 0.514318, acc: 0.757812] [adversarial loss: 1.567803, acc: 0.156250] 30396: [discriminator loss: 0.520853, acc: 0.750000] [adversarial loss: 0.886087, acc: 0.484375] 30397: [discriminator loss: 0.608272, acc: 0.609375] [adversarial loss: 1.689073, acc: 0.093750] 30398: [discriminator loss: 0.595645, acc: 0.671875] [adversarial loss: 0.892077, acc: 0.406250] 30399: [discriminator loss: 0.573601, acc: 0.695312] [adversarial loss: 1.530335, acc: 0.093750] 30400: [discriminator loss: 0.484444, acc: 0.757812] [adversarial loss: 1.068385, acc: 0.359375] 30401: [discriminator loss: 0.503578, acc: 0.734375] [adversarial loss: 1.371888, acc: 0.203125] 30402: [discriminator loss: 0.537748, acc: 0.726562] [adversarial loss: 1.240699, acc: 0.296875] 30403: [discriminator loss: 0.516516, acc: 0.710938] [adversarial loss: 1.373664, acc: 0.187500] 30404: [discriminator loss: 0.514484, acc: 0.703125] [adversarial loss: 1.232568, acc: 0.312500] 30405: [discriminator loss: 0.519443, acc: 0.781250] [adversarial loss: 1.211010, acc: 0.328125] 30406: [discriminator loss: 0.553648, acc: 0.687500] [adversarial loss: 1.109233, acc: 0.234375] 30407: [discriminator loss: 0.584925, acc: 0.671875] [adversarial loss: 1.241318, acc: 0.218750] 30408: [discriminator loss: 0.536885, acc: 0.703125] [adversarial loss: 1.323157, acc: 0.187500] 30409: [discriminator loss: 0.496562, acc: 0.718750] [adversarial loss: 1.335158, acc: 0.265625] 30410: [discriminator loss: 0.502325, acc: 0.734375] [adversarial loss: 1.423901, acc: 0.265625] 30411: [discriminator loss: 0.474190, acc: 0.750000] [adversarial loss: 0.885115, acc: 0.515625] 30412: [discriminator loss: 0.507378, acc: 0.742188] [adversarial loss: 1.150525, acc: 0.281250] 30413: [discriminator loss: 0.503644, acc: 0.734375] [adversarial loss: 0.988422, acc: 0.406250] 30414: [discriminator loss: 0.480043, acc: 0.765625] [adversarial loss: 1.620975, acc: 0.125000] 30415: [discriminator loss: 0.593975, acc: 0.656250] [adversarial loss: 0.715451, acc: 0.593750] 30416: [discriminator loss: 0.596968, acc: 0.648438] [adversarial loss: 1.645494, acc: 0.125000] 30417: [discriminator loss: 0.564587, acc: 0.710938] [adversarial loss: 1.199471, acc: 0.343750] 30418: [discriminator loss: 0.627718, acc: 0.632812] [adversarial loss: 1.588239, acc: 0.140625] 30419: [discriminator loss: 0.546639, acc: 0.726562] [adversarial loss: 0.970225, acc: 0.375000] 30420: [discriminator loss: 0.512299, acc: 0.710938] [adversarial loss: 1.315994, acc: 0.250000] 30421: [discriminator loss: 0.514400, acc: 0.734375] [adversarial loss: 1.049196, acc: 0.359375] 30422: [discriminator loss: 0.480779, acc: 0.796875] [adversarial loss: 1.555901, acc: 0.171875] 30423: [discriminator loss: 0.552910, acc: 0.710938] [adversarial loss: 0.738733, acc: 0.546875] 30424: [discriminator loss: 0.562227, acc: 0.703125] [adversarial loss: 1.880154, acc: 0.078125] 30425: [discriminator loss: 0.605850, acc: 0.679688] [adversarial loss: 0.968258, acc: 0.421875] 30426: [discriminator loss: 0.545136, acc: 0.703125] [adversarial loss: 1.384508, acc: 0.203125] 30427: [discriminator loss: 0.556813, acc: 0.703125] [adversarial loss: 1.162849, acc: 0.312500] 30428: [discriminator loss: 0.469470, acc: 0.796875] [adversarial loss: 1.336422, acc: 0.265625] 30429: [discriminator loss: 0.465264, acc: 0.781250] [adversarial loss: 1.311304, acc: 0.234375] 30430: [discriminator loss: 0.518630, acc: 0.726562] [adversarial loss: 1.157586, acc: 0.343750] 30431: [discriminator loss: 0.461490, acc: 0.781250] [adversarial loss: 1.227234, acc: 0.296875] 30432: [discriminator loss: 0.607833, acc: 0.648438] [adversarial loss: 1.169744, acc: 0.343750] 30433: [discriminator loss: 0.474202, acc: 0.750000] [adversarial loss: 1.267628, acc: 0.171875] 30434: [discriminator loss: 0.532966, acc: 0.703125] [adversarial loss: 1.241258, acc: 0.265625] 30435: [discriminator loss: 0.600493, acc: 0.664062] [adversarial loss: 1.640894, acc: 0.093750] 30436: [discriminator loss: 0.523146, acc: 0.726562] [adversarial loss: 0.880446, acc: 0.421875] 30437: [discriminator loss: 0.545816, acc: 0.765625] [adversarial loss: 1.876370, acc: 0.078125] 30438: [discriminator loss: 0.586100, acc: 0.710938] [adversarial loss: 0.759785, acc: 0.546875] 30439: [discriminator loss: 0.573410, acc: 0.664062] [adversarial loss: 1.682204, acc: 0.046875] 30440: [discriminator loss: 0.549376, acc: 0.703125] [adversarial loss: 0.815673, acc: 0.546875] 30441: [discriminator loss: 0.584140, acc: 0.703125] [adversarial loss: 1.699352, acc: 0.156250] 30442: [discriminator loss: 0.598318, acc: 0.687500] [adversarial loss: 0.988122, acc: 0.390625] 30443: [discriminator loss: 0.516205, acc: 0.757812] [adversarial loss: 1.235184, acc: 0.234375] 30444: [discriminator loss: 0.540208, acc: 0.757812] [adversarial loss: 1.182362, acc: 0.171875] 30445: [discriminator loss: 0.545290, acc: 0.742188] [adversarial loss: 1.239245, acc: 0.234375] 30446: [discriminator loss: 0.501638, acc: 0.757812] [adversarial loss: 1.011862, acc: 0.390625] 30447: [discriminator loss: 0.437842, acc: 0.789062] [adversarial loss: 1.086051, acc: 0.296875] 30448: [discriminator loss: 0.550925, acc: 0.703125] [adversarial loss: 1.216024, acc: 0.250000] 30449: [discriminator loss: 0.544587, acc: 0.742188] [adversarial loss: 1.006671, acc: 0.390625] 30450: [discriminator loss: 0.556434, acc: 0.687500] [adversarial loss: 1.649738, acc: 0.109375] 30451: [discriminator loss: 0.569957, acc: 0.656250] [adversarial loss: 0.969431, acc: 0.375000] 30452: [discriminator loss: 0.575229, acc: 0.679688] [adversarial loss: 1.658083, acc: 0.125000] 30453: [discriminator loss: 0.505612, acc: 0.695312] [adversarial loss: 1.094528, acc: 0.343750] 30454: [discriminator loss: 0.491618, acc: 0.765625] [adversarial loss: 1.578190, acc: 0.140625] 30455: [discriminator loss: 0.542955, acc: 0.695312] [adversarial loss: 0.975195, acc: 0.343750] 30456: [discriminator loss: 0.523956, acc: 0.765625] [adversarial loss: 1.323834, acc: 0.250000] 30457: [discriminator loss: 0.480043, acc: 0.789062] [adversarial loss: 1.051428, acc: 0.343750] 30458: [discriminator loss: 0.544427, acc: 0.734375] [adversarial loss: 1.287657, acc: 0.296875] 30459: [discriminator loss: 0.467821, acc: 0.742188] [adversarial loss: 1.115413, acc: 0.359375] 30460: [discriminator loss: 0.507760, acc: 0.757812] [adversarial loss: 1.681989, acc: 0.140625] 30461: [discriminator loss: 0.504216, acc: 0.750000] [adversarial loss: 0.872606, acc: 0.453125] 30462: [discriminator loss: 0.578996, acc: 0.734375] [adversarial loss: 1.600591, acc: 0.062500] 30463: [discriminator loss: 0.565251, acc: 0.710938] [adversarial loss: 0.827333, acc: 0.484375] 30464: [discriminator loss: 0.533911, acc: 0.734375] [adversarial loss: 1.630264, acc: 0.093750] 30465: [discriminator loss: 0.493151, acc: 0.781250] [adversarial loss: 1.164072, acc: 0.328125] 30466: [discriminator loss: 0.467242, acc: 0.750000] [adversarial loss: 1.374845, acc: 0.156250] 30467: [discriminator loss: 0.499274, acc: 0.734375] [adversarial loss: 1.154240, acc: 0.250000] 30468: [discriminator loss: 0.562179, acc: 0.718750] [adversarial loss: 1.610780, acc: 0.140625] 30469: [discriminator loss: 0.493786, acc: 0.789062] [adversarial loss: 1.005039, acc: 0.359375] 30470: [discriminator loss: 0.566006, acc: 0.703125] [adversarial loss: 1.462507, acc: 0.140625] 30471: [discriminator loss: 0.541840, acc: 0.679688] [adversarial loss: 1.461537, acc: 0.125000] 30472: [discriminator loss: 0.543246, acc: 0.750000] [adversarial loss: 1.290170, acc: 0.171875] 30473: [discriminator loss: 0.521094, acc: 0.734375] [adversarial loss: 1.239853, acc: 0.203125] 30474: [discriminator loss: 0.529335, acc: 0.757812] [adversarial loss: 1.159285, acc: 0.234375] 30475: [discriminator loss: 0.514464, acc: 0.781250] [adversarial loss: 1.061047, acc: 0.359375] 30476: [discriminator loss: 0.473179, acc: 0.742188] [adversarial loss: 1.228265, acc: 0.250000] 30477: [discriminator loss: 0.512828, acc: 0.765625] [adversarial loss: 1.361089, acc: 0.250000] 30478: [discriminator loss: 0.531744, acc: 0.734375] [adversarial loss: 0.740515, acc: 0.546875] 30479: [discriminator loss: 0.674567, acc: 0.640625] [adversarial loss: 1.979454, acc: 0.078125] 30480: [discriminator loss: 0.672514, acc: 0.656250] [adversarial loss: 0.940217, acc: 0.468750] 30481: [discriminator loss: 0.493753, acc: 0.804688] [adversarial loss: 1.342936, acc: 0.171875] 30482: [discriminator loss: 0.566270, acc: 0.695312] [adversarial loss: 1.132345, acc: 0.281250] 30483: [discriminator loss: 0.449431, acc: 0.804688] [adversarial loss: 1.334727, acc: 0.187500] 30484: [discriminator loss: 0.400445, acc: 0.867188] [adversarial loss: 1.265036, acc: 0.234375] 30485: [discriminator loss: 0.536309, acc: 0.703125] [adversarial loss: 1.002043, acc: 0.312500] 30486: [discriminator loss: 0.517958, acc: 0.773438] [adversarial loss: 1.502584, acc: 0.156250] 30487: [discriminator loss: 0.544641, acc: 0.687500] [adversarial loss: 0.980920, acc: 0.421875] 30488: [discriminator loss: 0.522341, acc: 0.726562] [adversarial loss: 1.602548, acc: 0.109375] 30489: [discriminator loss: 0.506816, acc: 0.757812] [adversarial loss: 0.928284, acc: 0.437500] 30490: [discriminator loss: 0.563940, acc: 0.656250] [adversarial loss: 1.634509, acc: 0.125000] 30491: [discriminator loss: 0.558247, acc: 0.703125] [adversarial loss: 0.882114, acc: 0.437500] 30492: [discriminator loss: 0.531357, acc: 0.671875] [adversarial loss: 1.664265, acc: 0.093750] 30493: [discriminator loss: 0.619171, acc: 0.640625] [adversarial loss: 0.781804, acc: 0.562500] 30494: [discriminator loss: 0.531744, acc: 0.765625] [adversarial loss: 1.853267, acc: 0.078125] 30495: [discriminator loss: 0.583787, acc: 0.671875] [adversarial loss: 0.915985, acc: 0.437500] 30496: [discriminator loss: 0.596651, acc: 0.648438] [adversarial loss: 1.472636, acc: 0.140625] 30497: [discriminator loss: 0.474528, acc: 0.781250] [adversarial loss: 0.992587, acc: 0.406250] 30498: [discriminator loss: 0.483465, acc: 0.789062] [adversarial loss: 1.495869, acc: 0.156250] 30499: [discriminator loss: 0.522757, acc: 0.695312] [adversarial loss: 1.025203, acc: 0.343750] 30500: [discriminator loss: 0.511222, acc: 0.750000] [adversarial loss: 1.238334, acc: 0.250000] 30501: [discriminator loss: 0.513586, acc: 0.773438] [adversarial loss: 1.262098, acc: 0.296875] 30502: [discriminator loss: 0.475698, acc: 0.750000] [adversarial loss: 1.478725, acc: 0.156250] 30503: [discriminator loss: 0.479834, acc: 0.773438] [adversarial loss: 1.239688, acc: 0.250000] 30504: [discriminator loss: 0.525416, acc: 0.679688] [adversarial loss: 1.340118, acc: 0.281250] 30505: [discriminator loss: 0.442053, acc: 0.773438] [adversarial loss: 1.587199, acc: 0.109375] 30506: [discriminator loss: 0.549633, acc: 0.703125] [adversarial loss: 1.093569, acc: 0.437500] 30507: [discriminator loss: 0.424129, acc: 0.812500] [adversarial loss: 1.824077, acc: 0.140625] 30508: [discriminator loss: 0.630461, acc: 0.656250] [adversarial loss: 0.768376, acc: 0.531250] 30509: [discriminator loss: 0.608246, acc: 0.687500] [adversarial loss: 1.666688, acc: 0.078125] 30510: [discriminator loss: 0.581397, acc: 0.671875] [adversarial loss: 0.674955, acc: 0.609375] 30511: [discriminator loss: 0.587992, acc: 0.695312] [adversarial loss: 1.445067, acc: 0.140625] 30512: [discriminator loss: 0.574961, acc: 0.718750] [adversarial loss: 0.832575, acc: 0.484375] 30513: [discriminator loss: 0.496075, acc: 0.750000] [adversarial loss: 1.230589, acc: 0.265625] 30514: [discriminator loss: 0.499013, acc: 0.726562] [adversarial loss: 0.810341, acc: 0.546875] 30515: [discriminator loss: 0.524962, acc: 0.734375] [adversarial loss: 1.366081, acc: 0.125000] 30516: [discriminator loss: 0.500798, acc: 0.781250] [adversarial loss: 1.114470, acc: 0.296875] 30517: [discriminator loss: 0.514213, acc: 0.757812] [adversarial loss: 1.199026, acc: 0.296875] 30518: [discriminator loss: 0.528729, acc: 0.734375] [adversarial loss: 1.111127, acc: 0.343750] 30519: [discriminator loss: 0.508496, acc: 0.726562] [adversarial loss: 1.203870, acc: 0.281250] 30520: [discriminator loss: 0.561737, acc: 0.703125] [adversarial loss: 1.359180, acc: 0.187500] 30521: [discriminator loss: 0.509288, acc: 0.734375] [adversarial loss: 1.055343, acc: 0.312500] 30522: [discriminator loss: 0.520187, acc: 0.757812] [adversarial loss: 1.111699, acc: 0.312500] 30523: [discriminator loss: 0.615786, acc: 0.695312] [adversarial loss: 1.538961, acc: 0.125000] 30524: [discriminator loss: 0.511218, acc: 0.750000] [adversarial loss: 0.970486, acc: 0.406250] 30525: [discriminator loss: 0.532464, acc: 0.789062] [adversarial loss: 1.753675, acc: 0.093750] 30526: [discriminator loss: 0.557446, acc: 0.695312] [adversarial loss: 0.808908, acc: 0.593750] 30527: [discriminator loss: 0.591856, acc: 0.703125] [adversarial loss: 1.546580, acc: 0.203125] 30528: [discriminator loss: 0.577120, acc: 0.640625] [adversarial loss: 0.835678, acc: 0.484375] 30529: [discriminator loss: 0.612321, acc: 0.664062] [adversarial loss: 1.837902, acc: 0.046875] 30530: [discriminator loss: 0.561894, acc: 0.687500] [adversarial loss: 0.961252, acc: 0.390625] 30531: [discriminator loss: 0.494763, acc: 0.765625] [adversarial loss: 1.176863, acc: 0.234375] 30532: [discriminator loss: 0.450206, acc: 0.789062] [adversarial loss: 1.177142, acc: 0.281250] 30533: [discriminator loss: 0.455710, acc: 0.812500] [adversarial loss: 1.177183, acc: 0.234375] 30534: [discriminator loss: 0.474640, acc: 0.789062] [adversarial loss: 1.049529, acc: 0.343750] 30535: [discriminator loss: 0.542196, acc: 0.718750] [adversarial loss: 1.607271, acc: 0.125000] 30536: [discriminator loss: 0.491974, acc: 0.750000] [adversarial loss: 0.941780, acc: 0.343750] 30537: [discriminator loss: 0.442165, acc: 0.796875] [adversarial loss: 1.316483, acc: 0.265625] 30538: [discriminator loss: 0.645141, acc: 0.625000] [adversarial loss: 1.028735, acc: 0.375000] 30539: [discriminator loss: 0.636977, acc: 0.687500] [adversarial loss: 1.558822, acc: 0.046875] 30540: [discriminator loss: 0.498629, acc: 0.757812] [adversarial loss: 1.179364, acc: 0.234375] 30541: [discriminator loss: 0.544919, acc: 0.718750] [adversarial loss: 1.380563, acc: 0.234375] 30542: [discriminator loss: 0.584348, acc: 0.671875] [adversarial loss: 1.243275, acc: 0.203125] 30543: [discriminator loss: 0.584080, acc: 0.703125] [adversarial loss: 1.441698, acc: 0.250000] 30544: [discriminator loss: 0.580860, acc: 0.648438] [adversarial loss: 0.959230, acc: 0.406250] 30545: [discriminator loss: 0.578968, acc: 0.671875] [adversarial loss: 1.230368, acc: 0.265625] 30546: [discriminator loss: 0.551040, acc: 0.734375] [adversarial loss: 1.233138, acc: 0.171875] 30547: [discriminator loss: 0.585117, acc: 0.726562] [adversarial loss: 1.511544, acc: 0.125000] 30548: [discriminator loss: 0.497391, acc: 0.781250] [adversarial loss: 1.098383, acc: 0.296875] 30549: [discriminator loss: 0.525103, acc: 0.757812] [adversarial loss: 1.475211, acc: 0.171875] 30550: [discriminator loss: 0.562657, acc: 0.710938] [adversarial loss: 1.225908, acc: 0.281250] 30551: [discriminator loss: 0.483905, acc: 0.726562] [adversarial loss: 1.379527, acc: 0.109375] 30552: [discriminator loss: 0.518986, acc: 0.750000] [adversarial loss: 0.962206, acc: 0.421875] 30553: [discriminator loss: 0.567259, acc: 0.742188] [adversarial loss: 1.827776, acc: 0.109375] 30554: [discriminator loss: 0.572988, acc: 0.695312] [adversarial loss: 1.003017, acc: 0.390625] 30555: [discriminator loss: 0.583036, acc: 0.695312] [adversarial loss: 1.612195, acc: 0.156250] 30556: [discriminator loss: 0.529226, acc: 0.742188] [adversarial loss: 0.910325, acc: 0.453125] 30557: [discriminator loss: 0.470328, acc: 0.773438] [adversarial loss: 1.446592, acc: 0.156250] 30558: [discriminator loss: 0.508408, acc: 0.734375] [adversarial loss: 1.127259, acc: 0.343750] 30559: [discriminator loss: 0.552784, acc: 0.734375] [adversarial loss: 1.133000, acc: 0.296875] 30560: [discriminator loss: 0.516384, acc: 0.757812] [adversarial loss: 1.235755, acc: 0.218750] 30561: [discriminator loss: 0.480841, acc: 0.773438] [adversarial loss: 1.399223, acc: 0.218750] 30562: [discriminator loss: 0.521120, acc: 0.781250] [adversarial loss: 1.356648, acc: 0.218750] 30563: [discriminator loss: 0.519802, acc: 0.750000] [adversarial loss: 1.039700, acc: 0.406250] 30564: [discriminator loss: 0.538174, acc: 0.789062] [adversarial loss: 1.545546, acc: 0.140625] 30565: [discriminator loss: 0.603825, acc: 0.687500] [adversarial loss: 1.033480, acc: 0.406250] 30566: [discriminator loss: 0.570222, acc: 0.710938] [adversarial loss: 1.943839, acc: 0.046875] 30567: [discriminator loss: 0.582515, acc: 0.687500] [adversarial loss: 0.786695, acc: 0.578125] 30568: [discriminator loss: 0.650086, acc: 0.648438] [adversarial loss: 1.679262, acc: 0.125000] 30569: [discriminator loss: 0.550135, acc: 0.695312] [adversarial loss: 1.132487, acc: 0.312500] 30570: [discriminator loss: 0.600250, acc: 0.664062] [adversarial loss: 1.540156, acc: 0.156250] 30571: [discriminator loss: 0.483697, acc: 0.781250] [adversarial loss: 1.116221, acc: 0.281250] 30572: [discriminator loss: 0.548961, acc: 0.679688] [adversarial loss: 1.436634, acc: 0.187500] 30573: [discriminator loss: 0.511865, acc: 0.765625] [adversarial loss: 1.048385, acc: 0.375000] 30574: [discriminator loss: 0.514041, acc: 0.750000] [adversarial loss: 1.195915, acc: 0.250000] 30575: [discriminator loss: 0.505381, acc: 0.742188] [adversarial loss: 1.384719, acc: 0.203125] 30576: [discriminator loss: 0.560829, acc: 0.679688] [adversarial loss: 1.119644, acc: 0.265625] 30577: [discriminator loss: 0.518252, acc: 0.703125] [adversarial loss: 1.223511, acc: 0.203125] 30578: [discriminator loss: 0.464738, acc: 0.789062] [adversarial loss: 1.401794, acc: 0.203125] 30579: [discriminator loss: 0.583803, acc: 0.726562] [adversarial loss: 1.151179, acc: 0.156250] 30580: [discriminator loss: 0.523555, acc: 0.695312] [adversarial loss: 1.280434, acc: 0.203125] 30581: [discriminator loss: 0.557491, acc: 0.718750] [adversarial loss: 1.235598, acc: 0.296875] 30582: [discriminator loss: 0.520151, acc: 0.765625] [adversarial loss: 1.174753, acc: 0.250000] 30583: [discriminator loss: 0.540243, acc: 0.679688] [adversarial loss: 1.263484, acc: 0.234375] 30584: [discriminator loss: 0.525358, acc: 0.750000] [adversarial loss: 1.061487, acc: 0.359375] 30585: [discriminator loss: 0.472624, acc: 0.804688] [adversarial loss: 1.067488, acc: 0.328125] 30586: [discriminator loss: 0.530850, acc: 0.718750] [adversarial loss: 1.150457, acc: 0.296875] 30587: [discriminator loss: 0.497667, acc: 0.734375] [adversarial loss: 1.150021, acc: 0.265625] 30588: [discriminator loss: 0.490718, acc: 0.757812] [adversarial loss: 1.574185, acc: 0.062500] 30589: [discriminator loss: 0.529882, acc: 0.718750] [adversarial loss: 0.846079, acc: 0.546875] 30590: [discriminator loss: 0.545974, acc: 0.679688] [adversarial loss: 1.833394, acc: 0.078125] 30591: [discriminator loss: 0.523278, acc: 0.750000] [adversarial loss: 1.136919, acc: 0.312500] 30592: [discriminator loss: 0.544371, acc: 0.750000] [adversarial loss: 1.439467, acc: 0.156250] 30593: [discriminator loss: 0.559491, acc: 0.687500] [adversarial loss: 1.266645, acc: 0.218750] 30594: [discriminator loss: 0.472116, acc: 0.742188] [adversarial loss: 1.470517, acc: 0.218750] 30595: [discriminator loss: 0.492651, acc: 0.765625] [adversarial loss: 1.269288, acc: 0.218750] 30596: [discriminator loss: 0.514002, acc: 0.765625] [adversarial loss: 1.110513, acc: 0.265625] 30597: [discriminator loss: 0.488435, acc: 0.742188] [adversarial loss: 1.338923, acc: 0.265625] 30598: [discriminator loss: 0.533478, acc: 0.718750] [adversarial loss: 1.183932, acc: 0.187500] 30599: [discriminator loss: 0.535945, acc: 0.679688] [adversarial loss: 1.441071, acc: 0.140625] 30600: [discriminator loss: 0.465164, acc: 0.765625] [adversarial loss: 1.197335, acc: 0.312500] 30601: [discriminator loss: 0.490516, acc: 0.773438] [adversarial loss: 1.722852, acc: 0.093750] 30602: [discriminator loss: 0.550012, acc: 0.695312] [adversarial loss: 0.907466, acc: 0.390625] 30603: [discriminator loss: 0.587131, acc: 0.718750] [adversarial loss: 1.768762, acc: 0.015625] 30604: [discriminator loss: 0.649234, acc: 0.625000] [adversarial loss: 0.808744, acc: 0.609375] 30605: [discriminator loss: 0.578338, acc: 0.710938] [adversarial loss: 1.499604, acc: 0.156250] 30606: [discriminator loss: 0.512142, acc: 0.750000] [adversarial loss: 0.979543, acc: 0.406250] 30607: [discriminator loss: 0.515995, acc: 0.765625] [adversarial loss: 1.209897, acc: 0.187500] 30608: [discriminator loss: 0.446171, acc: 0.820312] [adversarial loss: 1.144230, acc: 0.296875] 30609: [discriminator loss: 0.492158, acc: 0.757812] [adversarial loss: 1.254661, acc: 0.328125] 30610: [discriminator loss: 0.494981, acc: 0.750000] [adversarial loss: 0.974966, acc: 0.453125] 30611: [discriminator loss: 0.608726, acc: 0.664062] [adversarial loss: 1.711800, acc: 0.062500] 30612: [discriminator loss: 0.585358, acc: 0.703125] [adversarial loss: 1.002487, acc: 0.375000] 30613: [discriminator loss: 0.531041, acc: 0.742188] [adversarial loss: 1.607957, acc: 0.156250] 30614: [discriminator loss: 0.609988, acc: 0.703125] [adversarial loss: 0.961220, acc: 0.421875] 30615: [discriminator loss: 0.496246, acc: 0.750000] [adversarial loss: 1.625141, acc: 0.109375] 30616: [discriminator loss: 0.577243, acc: 0.695312] [adversarial loss: 0.860486, acc: 0.500000] 30617: [discriminator loss: 0.506555, acc: 0.718750] [adversarial loss: 1.394134, acc: 0.156250] 30618: [discriminator loss: 0.518437, acc: 0.656250] [adversarial loss: 0.868475, acc: 0.515625] 30619: [discriminator loss: 0.546711, acc: 0.687500] [adversarial loss: 1.415974, acc: 0.156250] 30620: [discriminator loss: 0.583159, acc: 0.625000] [adversarial loss: 0.996006, acc: 0.390625] 30621: [discriminator loss: 0.486834, acc: 0.757812] [adversarial loss: 1.547794, acc: 0.171875] 30622: [discriminator loss: 0.497318, acc: 0.734375] [adversarial loss: 1.061712, acc: 0.328125] 30623: [discriminator loss: 0.451812, acc: 0.820312] [adversarial loss: 1.209698, acc: 0.296875] 30624: [discriminator loss: 0.511323, acc: 0.718750] [adversarial loss: 1.241387, acc: 0.234375] 30625: [discriminator loss: 0.566633, acc: 0.671875] [adversarial loss: 1.608867, acc: 0.156250] 30626: [discriminator loss: 0.451253, acc: 0.789062] [adversarial loss: 0.967996, acc: 0.375000] 30627: [discriminator loss: 0.539585, acc: 0.671875] [adversarial loss: 1.581432, acc: 0.093750] 30628: [discriminator loss: 0.495914, acc: 0.750000] [adversarial loss: 1.156566, acc: 0.312500] 30629: [discriminator loss: 0.549810, acc: 0.710938] [adversarial loss: 1.501024, acc: 0.156250] 30630: [discriminator loss: 0.481497, acc: 0.726562] [adversarial loss: 0.974328, acc: 0.390625] 30631: [discriminator loss: 0.569976, acc: 0.656250] [adversarial loss: 1.556104, acc: 0.109375] 30632: [discriminator loss: 0.566355, acc: 0.710938] [adversarial loss: 1.019654, acc: 0.359375] 30633: [discriminator loss: 0.524992, acc: 0.718750] [adversarial loss: 1.545325, acc: 0.140625] 30634: [discriminator loss: 0.557335, acc: 0.695312] [adversarial loss: 1.200395, acc: 0.281250] 30635: [discriminator loss: 0.462356, acc: 0.765625] [adversarial loss: 1.063483, acc: 0.312500] 30636: [discriminator loss: 0.491592, acc: 0.742188] [adversarial loss: 1.083776, acc: 0.343750] 30637: [discriminator loss: 0.445673, acc: 0.796875] [adversarial loss: 1.311082, acc: 0.156250] 30638: [discriminator loss: 0.461227, acc: 0.773438] [adversarial loss: 1.149944, acc: 0.281250] 30639: [discriminator loss: 0.570167, acc: 0.671875] [adversarial loss: 1.489093, acc: 0.187500] 30640: [discriminator loss: 0.524780, acc: 0.718750] [adversarial loss: 0.911251, acc: 0.484375] 30641: [discriminator loss: 0.670099, acc: 0.671875] [adversarial loss: 1.836824, acc: 0.078125] 30642: [discriminator loss: 0.563595, acc: 0.695312] [adversarial loss: 0.987031, acc: 0.328125] 30643: [discriminator loss: 0.549202, acc: 0.664062] [adversarial loss: 1.403254, acc: 0.140625] 30644: [discriminator loss: 0.522001, acc: 0.742188] [adversarial loss: 0.865621, acc: 0.468750] 30645: [discriminator loss: 0.598082, acc: 0.687500] [adversarial loss: 1.555179, acc: 0.187500] 30646: [discriminator loss: 0.609164, acc: 0.695312] [adversarial loss: 1.076411, acc: 0.406250] 30647: [discriminator loss: 0.532498, acc: 0.734375] [adversarial loss: 1.339321, acc: 0.187500] 30648: [discriminator loss: 0.507407, acc: 0.742188] [adversarial loss: 0.995955, acc: 0.328125] 30649: [discriminator loss: 0.587484, acc: 0.703125] [adversarial loss: 1.513196, acc: 0.125000] 30650: [discriminator loss: 0.476585, acc: 0.796875] [adversarial loss: 1.151715, acc: 0.390625] 30651: [discriminator loss: 0.499741, acc: 0.773438] [adversarial loss: 1.360089, acc: 0.187500] 30652: [discriminator loss: 0.426069, acc: 0.835938] [adversarial loss: 1.213843, acc: 0.203125] 30653: [discriminator loss: 0.576274, acc: 0.687500] [adversarial loss: 1.311206, acc: 0.312500] 30654: [discriminator loss: 0.559353, acc: 0.679688] [adversarial loss: 1.239820, acc: 0.234375] 30655: [discriminator loss: 0.456867, acc: 0.750000] [adversarial loss: 1.217002, acc: 0.234375] 30656: [discriminator loss: 0.504258, acc: 0.750000] [adversarial loss: 1.314465, acc: 0.203125] 30657: [discriminator loss: 0.502491, acc: 0.765625] [adversarial loss: 1.108164, acc: 0.359375] 30658: [discriminator loss: 0.499812, acc: 0.765625] [adversarial loss: 1.444958, acc: 0.187500] 30659: [discriminator loss: 0.522545, acc: 0.718750] [adversarial loss: 1.192116, acc: 0.203125] 30660: [discriminator loss: 0.517528, acc: 0.742188] [adversarial loss: 1.107529, acc: 0.265625] 30661: [discriminator loss: 0.508314, acc: 0.750000] [adversarial loss: 1.206909, acc: 0.343750] 30662: [discriminator loss: 0.520287, acc: 0.734375] [adversarial loss: 1.245960, acc: 0.187500] 30663: [discriminator loss: 0.448388, acc: 0.773438] [adversarial loss: 1.254149, acc: 0.203125] 30664: [discriminator loss: 0.519129, acc: 0.765625] [adversarial loss: 1.075690, acc: 0.406250] 30665: [discriminator loss: 0.433013, acc: 0.789062] [adversarial loss: 1.031531, acc: 0.312500] 30666: [discriminator loss: 0.523842, acc: 0.726562] [adversarial loss: 1.122116, acc: 0.375000] 30667: [discriminator loss: 0.541581, acc: 0.726562] [adversarial loss: 1.497697, acc: 0.265625] 30668: [discriminator loss: 0.483335, acc: 0.812500] [adversarial loss: 1.219453, acc: 0.218750] 30669: [discriminator loss: 0.428049, acc: 0.812500] [adversarial loss: 1.331073, acc: 0.250000] 30670: [discriminator loss: 0.493588, acc: 0.734375] [adversarial loss: 1.469023, acc: 0.109375] 30671: [discriminator loss: 0.607729, acc: 0.656250] [adversarial loss: 0.895114, acc: 0.562500] 30672: [discriminator loss: 0.553064, acc: 0.671875] [adversarial loss: 1.583089, acc: 0.109375] 30673: [discriminator loss: 0.586060, acc: 0.703125] [adversarial loss: 0.844447, acc: 0.500000] 30674: [discriminator loss: 0.517683, acc: 0.710938] [adversarial loss: 1.953980, acc: 0.078125] 30675: [discriminator loss: 0.583930, acc: 0.656250] [adversarial loss: 0.817827, acc: 0.515625] 30676: [discriminator loss: 0.575402, acc: 0.687500] [adversarial loss: 2.006240, acc: 0.078125] 30677: [discriminator loss: 0.452757, acc: 0.789062] [adversarial loss: 1.196068, acc: 0.234375] 30678: [discriminator loss: 0.527162, acc: 0.742188] [adversarial loss: 1.619171, acc: 0.156250] 30679: [discriminator loss: 0.508016, acc: 0.726562] [adversarial loss: 1.244900, acc: 0.250000] 30680: [discriminator loss: 0.505680, acc: 0.734375] [adversarial loss: 1.376215, acc: 0.140625] 30681: [discriminator loss: 0.494019, acc: 0.804688] [adversarial loss: 1.091968, acc: 0.343750] 30682: [discriminator loss: 0.531456, acc: 0.703125] [adversarial loss: 1.528403, acc: 0.093750] 30683: [discriminator loss: 0.448566, acc: 0.781250] [adversarial loss: 0.976640, acc: 0.390625] 30684: [discriminator loss: 0.655562, acc: 0.656250] [adversarial loss: 1.858703, acc: 0.062500] 30685: [discriminator loss: 0.616693, acc: 0.703125] [adversarial loss: 0.759549, acc: 0.546875] 30686: [discriminator loss: 0.503974, acc: 0.710938] [adversarial loss: 1.586128, acc: 0.093750] 30687: [discriminator loss: 0.573075, acc: 0.726562] [adversarial loss: 1.095377, acc: 0.312500] 30688: [discriminator loss: 0.527626, acc: 0.773438] [adversarial loss: 1.212852, acc: 0.296875] 30689: [discriminator loss: 0.518649, acc: 0.734375] [adversarial loss: 1.378887, acc: 0.171875] 30690: [discriminator loss: 0.478561, acc: 0.773438] [adversarial loss: 1.075411, acc: 0.312500] 30691: [discriminator loss: 0.521743, acc: 0.718750] [adversarial loss: 1.328277, acc: 0.265625] 30692: [discriminator loss: 0.549543, acc: 0.734375] [adversarial loss: 1.028864, acc: 0.312500] 30693: [discriminator loss: 0.521269, acc: 0.710938] [adversarial loss: 1.301988, acc: 0.234375] 30694: [discriminator loss: 0.512963, acc: 0.718750] [adversarial loss: 0.992572, acc: 0.484375] 30695: [discriminator loss: 0.476012, acc: 0.796875] [adversarial loss: 1.448762, acc: 0.203125] 30696: [discriminator loss: 0.582402, acc: 0.710938] [adversarial loss: 1.155453, acc: 0.250000] 30697: [discriminator loss: 0.486121, acc: 0.781250] [adversarial loss: 1.050382, acc: 0.328125] 30698: [discriminator loss: 0.556018, acc: 0.710938] [adversarial loss: 1.383400, acc: 0.156250] 30699: [discriminator loss: 0.513940, acc: 0.773438] [adversarial loss: 1.228217, acc: 0.375000] 30700: [discriminator loss: 0.628580, acc: 0.625000] [adversarial loss: 1.645403, acc: 0.125000] 30701: [discriminator loss: 0.590038, acc: 0.695312] [adversarial loss: 0.800378, acc: 0.406250] 30702: [discriminator loss: 0.590999, acc: 0.703125] [adversarial loss: 1.581992, acc: 0.109375] 30703: [discriminator loss: 0.500101, acc: 0.742188] [adversarial loss: 0.849706, acc: 0.453125] 30704: [discriminator loss: 0.515772, acc: 0.765625] [adversarial loss: 1.483164, acc: 0.171875] 30705: [discriminator loss: 0.606764, acc: 0.679688] [adversarial loss: 0.790028, acc: 0.546875] 30706: [discriminator loss: 0.523056, acc: 0.679688] [adversarial loss: 1.690494, acc: 0.140625] 30707: [discriminator loss: 0.586464, acc: 0.679688] [adversarial loss: 0.828220, acc: 0.546875] 30708: [discriminator loss: 0.552208, acc: 0.726562] [adversarial loss: 1.269847, acc: 0.234375] 30709: [discriminator loss: 0.511637, acc: 0.742188] [adversarial loss: 1.218435, acc: 0.203125] 30710: [discriminator loss: 0.474804, acc: 0.789062] [adversarial loss: 1.093393, acc: 0.312500] 30711: [discriminator loss: 0.569153, acc: 0.718750] [adversarial loss: 1.385665, acc: 0.171875] 30712: [discriminator loss: 0.457115, acc: 0.796875] [adversarial loss: 1.279123, acc: 0.203125] 30713: [discriminator loss: 0.450546, acc: 0.781250] [adversarial loss: 1.309576, acc: 0.265625] 30714: [discriminator loss: 0.458970, acc: 0.765625] [adversarial loss: 1.466819, acc: 0.156250] 30715: [discriminator loss: 0.516158, acc: 0.710938] [adversarial loss: 1.328022, acc: 0.171875] 30716: [discriminator loss: 0.590178, acc: 0.726562] [adversarial loss: 1.400864, acc: 0.265625] 30717: [discriminator loss: 0.536523, acc: 0.710938] [adversarial loss: 1.158607, acc: 0.281250] 30718: [discriminator loss: 0.434640, acc: 0.781250] [adversarial loss: 1.510080, acc: 0.218750] 30719: [discriminator loss: 0.547554, acc: 0.726562] [adversarial loss: 1.046829, acc: 0.359375] 30720: [discriminator loss: 0.531239, acc: 0.726562] [adversarial loss: 1.127889, acc: 0.343750] 30721: [discriminator loss: 0.525652, acc: 0.742188] [adversarial loss: 1.569483, acc: 0.218750] 30722: [discriminator loss: 0.566962, acc: 0.695312] [adversarial loss: 1.110796, acc: 0.375000] 30723: [discriminator loss: 0.471588, acc: 0.750000] [adversarial loss: 1.745698, acc: 0.062500] 30724: [discriminator loss: 0.578071, acc: 0.664062] [adversarial loss: 0.974163, acc: 0.406250] 30725: [discriminator loss: 0.535339, acc: 0.718750] [adversarial loss: 1.763049, acc: 0.093750] 30726: [discriminator loss: 0.540869, acc: 0.718750] [adversarial loss: 1.059317, acc: 0.343750] 30727: [discriminator loss: 0.553370, acc: 0.710938] [adversarial loss: 1.718180, acc: 0.109375] 30728: [discriminator loss: 0.528079, acc: 0.726562] [adversarial loss: 1.027967, acc: 0.421875] 30729: [discriminator loss: 0.593958, acc: 0.671875] [adversarial loss: 1.376011, acc: 0.234375] 30730: [discriminator loss: 0.460057, acc: 0.781250] [adversarial loss: 1.070254, acc: 0.328125] 30731: [discriminator loss: 0.483208, acc: 0.789062] [adversarial loss: 1.329059, acc: 0.234375] 30732: [discriminator loss: 0.568040, acc: 0.679688] [adversarial loss: 1.010003, acc: 0.343750] 30733: [discriminator loss: 0.480030, acc: 0.757812] [adversarial loss: 1.393874, acc: 0.140625] 30734: [discriminator loss: 0.513419, acc: 0.757812] [adversarial loss: 0.882288, acc: 0.453125] 30735: [discriminator loss: 0.580378, acc: 0.710938] [adversarial loss: 1.701989, acc: 0.125000] 30736: [discriminator loss: 0.570943, acc: 0.640625] [adversarial loss: 0.947786, acc: 0.437500] 30737: [discriminator loss: 0.517782, acc: 0.742188] [adversarial loss: 1.392838, acc: 0.187500] 30738: [discriminator loss: 0.520636, acc: 0.742188] [adversarial loss: 1.208653, acc: 0.281250] 30739: [discriminator loss: 0.504041, acc: 0.765625] [adversarial loss: 1.221044, acc: 0.265625] 30740: [discriminator loss: 0.497945, acc: 0.734375] [adversarial loss: 1.167660, acc: 0.265625] 30741: [discriminator loss: 0.608514, acc: 0.664062] [adversarial loss: 1.131036, acc: 0.343750] 30742: [discriminator loss: 0.557916, acc: 0.703125] [adversarial loss: 1.357919, acc: 0.078125] 30743: [discriminator loss: 0.559898, acc: 0.687500] [adversarial loss: 0.961253, acc: 0.328125] 30744: [discriminator loss: 0.555798, acc: 0.703125] [adversarial loss: 1.114788, acc: 0.281250] 30745: [discriminator loss: 0.485015, acc: 0.765625] [adversarial loss: 1.186640, acc: 0.265625] 30746: [discriminator loss: 0.561793, acc: 0.710938] [adversarial loss: 1.252088, acc: 0.312500] 30747: [discriminator loss: 0.511640, acc: 0.750000] [adversarial loss: 1.256211, acc: 0.250000] 30748: [discriminator loss: 0.519029, acc: 0.757812] [adversarial loss: 1.219446, acc: 0.296875] 30749: [discriminator loss: 0.527223, acc: 0.742188] [adversarial loss: 1.365936, acc: 0.171875] 30750: [discriminator loss: 0.541080, acc: 0.695312] [adversarial loss: 0.885041, acc: 0.531250] 30751: [discriminator loss: 0.582725, acc: 0.695312] [adversarial loss: 1.699956, acc: 0.156250] 30752: [discriminator loss: 0.583031, acc: 0.656250] [adversarial loss: 0.862912, acc: 0.437500] 30753: [discriminator loss: 0.573581, acc: 0.687500] [adversarial loss: 1.401657, acc: 0.218750] 30754: [discriminator loss: 0.516286, acc: 0.734375] [adversarial loss: 0.916671, acc: 0.453125] 30755: [discriminator loss: 0.539543, acc: 0.734375] [adversarial loss: 1.412948, acc: 0.125000] 30756: [discriminator loss: 0.521614, acc: 0.742188] [adversarial loss: 0.935551, acc: 0.406250] 30757: [discriminator loss: 0.628861, acc: 0.640625] [adversarial loss: 1.342238, acc: 0.187500] 30758: [discriminator loss: 0.558026, acc: 0.750000] [adversarial loss: 1.070800, acc: 0.343750] 30759: [discriminator loss: 0.562645, acc: 0.656250] [adversarial loss: 1.426970, acc: 0.125000] 30760: [discriminator loss: 0.446436, acc: 0.828125] [adversarial loss: 1.270449, acc: 0.234375] 30761: [discriminator loss: 0.538785, acc: 0.703125] [adversarial loss: 1.303712, acc: 0.187500] 30762: [discriminator loss: 0.510451, acc: 0.718750] [adversarial loss: 1.266756, acc: 0.359375] 30763: [discriminator loss: 0.577155, acc: 0.671875] [adversarial loss: 1.378278, acc: 0.171875] 30764: [discriminator loss: 0.497683, acc: 0.726562] [adversarial loss: 1.006675, acc: 0.312500] 30765: [discriminator loss: 0.527706, acc: 0.750000] [adversarial loss: 1.562925, acc: 0.140625] 30766: [discriminator loss: 0.564149, acc: 0.687500] [adversarial loss: 0.977502, acc: 0.359375] 30767: [discriminator loss: 0.576985, acc: 0.742188] [adversarial loss: 1.446522, acc: 0.156250] 30768: [discriminator loss: 0.548986, acc: 0.718750] [adversarial loss: 0.895748, acc: 0.437500] 30769: [discriminator loss: 0.580011, acc: 0.656250] [adversarial loss: 1.847695, acc: 0.078125] 30770: [discriminator loss: 0.649439, acc: 0.656250] [adversarial loss: 0.813882, acc: 0.468750] 30771: [discriminator loss: 0.587803, acc: 0.710938] [adversarial loss: 1.790404, acc: 0.078125] 30772: [discriminator loss: 0.542914, acc: 0.703125] [adversarial loss: 1.005036, acc: 0.375000] 30773: [discriminator loss: 0.492925, acc: 0.765625] [adversarial loss: 1.536236, acc: 0.171875] 30774: [discriminator loss: 0.524597, acc: 0.710938] [adversarial loss: 1.067732, acc: 0.390625] 30775: [discriminator loss: 0.492718, acc: 0.796875] [adversarial loss: 1.520478, acc: 0.187500] 30776: [discriminator loss: 0.492498, acc: 0.726562] [adversarial loss: 1.252861, acc: 0.250000] 30777: [discriminator loss: 0.528363, acc: 0.742188] [adversarial loss: 1.434477, acc: 0.187500] 30778: [discriminator loss: 0.504025, acc: 0.726562] [adversarial loss: 1.203496, acc: 0.250000] 30779: [discriminator loss: 0.434955, acc: 0.820312] [adversarial loss: 1.281487, acc: 0.218750] 30780: [discriminator loss: 0.435051, acc: 0.781250] [adversarial loss: 1.671993, acc: 0.156250] 30781: [discriminator loss: 0.558839, acc: 0.695312] [adversarial loss: 0.767826, acc: 0.562500] 30782: [discriminator loss: 0.608485, acc: 0.671875] [adversarial loss: 1.636326, acc: 0.109375] 30783: [discriminator loss: 0.603692, acc: 0.695312] [adversarial loss: 0.835744, acc: 0.421875] 30784: [discriminator loss: 0.495831, acc: 0.773438] [adversarial loss: 1.380599, acc: 0.140625] 30785: [discriminator loss: 0.493609, acc: 0.757812] [adversarial loss: 1.315043, acc: 0.156250] 30786: [discriminator loss: 0.563262, acc: 0.695312] [adversarial loss: 0.871618, acc: 0.453125] 30787: [discriminator loss: 0.485377, acc: 0.742188] [adversarial loss: 1.319489, acc: 0.234375] 30788: [discriminator loss: 0.492096, acc: 0.734375] [adversarial loss: 1.256243, acc: 0.265625] 30789: [discriminator loss: 0.525858, acc: 0.710938] [adversarial loss: 0.906445, acc: 0.468750] 30790: [discriminator loss: 0.544017, acc: 0.679688] [adversarial loss: 1.590916, acc: 0.171875] 30791: [discriminator loss: 0.440500, acc: 0.828125] [adversarial loss: 1.082700, acc: 0.265625] 30792: [discriminator loss: 0.499857, acc: 0.718750] [adversarial loss: 1.364700, acc: 0.265625] 30793: [discriminator loss: 0.532128, acc: 0.679688] [adversarial loss: 1.306181, acc: 0.234375] 30794: [discriminator loss: 0.511310, acc: 0.773438] [adversarial loss: 1.146877, acc: 0.250000] 30795: [discriminator loss: 0.467035, acc: 0.820312] [adversarial loss: 1.322682, acc: 0.156250] 30796: [discriminator loss: 0.546347, acc: 0.710938] [adversarial loss: 0.880041, acc: 0.453125] 30797: [discriminator loss: 0.501059, acc: 0.742188] [adversarial loss: 1.495031, acc: 0.203125] 30798: [discriminator loss: 0.522318, acc: 0.695312] [adversarial loss: 0.899148, acc: 0.484375] 30799: [discriminator loss: 0.500667, acc: 0.734375] [adversarial loss: 1.463729, acc: 0.109375] 30800: [discriminator loss: 0.548431, acc: 0.703125] [adversarial loss: 1.060703, acc: 0.328125] 30801: [discriminator loss: 0.556018, acc: 0.710938] [adversarial loss: 1.345916, acc: 0.234375] 30802: [discriminator loss: 0.515571, acc: 0.773438] [adversarial loss: 0.990486, acc: 0.343750] 30803: [discriminator loss: 0.440839, acc: 0.804688] [adversarial loss: 1.334005, acc: 0.234375] 30804: [discriminator loss: 0.528146, acc: 0.726562] [adversarial loss: 0.982476, acc: 0.406250] 30805: [discriminator loss: 0.517215, acc: 0.789062] [adversarial loss: 1.461795, acc: 0.218750] 30806: [discriminator loss: 0.587106, acc: 0.687500] [adversarial loss: 1.279032, acc: 0.218750] 30807: [discriminator loss: 0.575664, acc: 0.695312] [adversarial loss: 1.194765, acc: 0.406250] 30808: [discriminator loss: 0.555184, acc: 0.679688] [adversarial loss: 1.677578, acc: 0.093750] 30809: [discriminator loss: 0.543575, acc: 0.703125] [adversarial loss: 1.219642, acc: 0.359375] 30810: [discriminator loss: 0.565448, acc: 0.726562] [adversarial loss: 1.599030, acc: 0.156250] 30811: [discriminator loss: 0.600629, acc: 0.664062] [adversarial loss: 0.807062, acc: 0.546875] 30812: [discriminator loss: 0.588759, acc: 0.664062] [adversarial loss: 1.988863, acc: 0.093750] 30813: [discriminator loss: 0.605917, acc: 0.625000] [adversarial loss: 0.891602, acc: 0.390625] 30814: [discriminator loss: 0.530966, acc: 0.703125] [adversarial loss: 1.758515, acc: 0.109375] 30815: [discriminator loss: 0.530779, acc: 0.718750] [adversarial loss: 1.141042, acc: 0.250000] 30816: [discriminator loss: 0.493554, acc: 0.742188] [adversarial loss: 1.063628, acc: 0.296875] 30817: [discriminator loss: 0.508648, acc: 0.726562] [adversarial loss: 1.389360, acc: 0.171875] 30818: [discriminator loss: 0.497366, acc: 0.773438] [adversarial loss: 1.262694, acc: 0.218750] 30819: [discriminator loss: 0.509480, acc: 0.757812] [adversarial loss: 1.352234, acc: 0.218750] 30820: [discriminator loss: 0.517943, acc: 0.750000] [adversarial loss: 1.243704, acc: 0.281250] 30821: [discriminator loss: 0.500691, acc: 0.734375] [adversarial loss: 1.255613, acc: 0.171875] 30822: [discriminator loss: 0.573596, acc: 0.609375] [adversarial loss: 1.155451, acc: 0.296875] 30823: [discriminator loss: 0.434087, acc: 0.820312] [adversarial loss: 1.280304, acc: 0.234375] 30824: [discriminator loss: 0.492977, acc: 0.726562] [adversarial loss: 1.243918, acc: 0.234375] 30825: [discriminator loss: 0.482394, acc: 0.742188] [adversarial loss: 1.264708, acc: 0.218750] 30826: [discriminator loss: 0.536456, acc: 0.742188] [adversarial loss: 0.972657, acc: 0.312500] 30827: [discriminator loss: 0.527076, acc: 0.757812] [adversarial loss: 1.984590, acc: 0.078125] 30828: [discriminator loss: 0.557703, acc: 0.695312] [adversarial loss: 0.957729, acc: 0.437500] 30829: [discriminator loss: 0.520633, acc: 0.695312] [adversarial loss: 1.206838, acc: 0.265625] 30830: [discriminator loss: 0.524192, acc: 0.687500] [adversarial loss: 1.185449, acc: 0.250000] 30831: [discriminator loss: 0.562360, acc: 0.679688] [adversarial loss: 1.170663, acc: 0.281250] 30832: [discriminator loss: 0.490385, acc: 0.742188] [adversarial loss: 1.532779, acc: 0.140625] 30833: [discriminator loss: 0.564468, acc: 0.679688] [adversarial loss: 0.865680, acc: 0.468750] 30834: [discriminator loss: 0.561076, acc: 0.742188] [adversarial loss: 1.221845, acc: 0.218750] 30835: [discriminator loss: 0.479236, acc: 0.742188] [adversarial loss: 1.038666, acc: 0.375000] 30836: [discriminator loss: 0.528653, acc: 0.703125] [adversarial loss: 1.471829, acc: 0.203125] 30837: [discriminator loss: 0.495262, acc: 0.742188] [adversarial loss: 1.141523, acc: 0.359375] 30838: [discriminator loss: 0.518521, acc: 0.687500] [adversarial loss: 1.835184, acc: 0.046875] 30839: [discriminator loss: 0.589022, acc: 0.671875] [adversarial loss: 0.803912, acc: 0.546875] 30840: [discriminator loss: 0.583117, acc: 0.726562] [adversarial loss: 1.418153, acc: 0.140625] 30841: [discriminator loss: 0.507672, acc: 0.742188] [adversarial loss: 1.182820, acc: 0.265625] 30842: [discriminator loss: 0.467934, acc: 0.734375] [adversarial loss: 1.269108, acc: 0.234375] 30843: [discriminator loss: 0.494635, acc: 0.773438] [adversarial loss: 1.418215, acc: 0.171875] 30844: [discriminator loss: 0.557695, acc: 0.679688] [adversarial loss: 1.427401, acc: 0.171875] 30845: [discriminator loss: 0.502564, acc: 0.734375] [adversarial loss: 1.267955, acc: 0.281250] 30846: [discriminator loss: 0.413178, acc: 0.796875] [adversarial loss: 1.132802, acc: 0.328125] 30847: [discriminator loss: 0.513794, acc: 0.765625] [adversarial loss: 1.345690, acc: 0.187500] 30848: [discriminator loss: 0.610483, acc: 0.632812] [adversarial loss: 0.903972, acc: 0.437500] 30849: [discriminator loss: 0.543420, acc: 0.703125] [adversarial loss: 1.349727, acc: 0.187500] 30850: [discriminator loss: 0.524503, acc: 0.742188] [adversarial loss: 0.928313, acc: 0.468750] 30851: [discriminator loss: 0.483008, acc: 0.757812] [adversarial loss: 0.991849, acc: 0.343750] 30852: [discriminator loss: 0.505972, acc: 0.750000] [adversarial loss: 1.308809, acc: 0.265625] 30853: [discriminator loss: 0.516475, acc: 0.757812] [adversarial loss: 1.503788, acc: 0.218750] 30854: [discriminator loss: 0.596066, acc: 0.710938] [adversarial loss: 0.941068, acc: 0.343750] 30855: [discriminator loss: 0.578527, acc: 0.671875] [adversarial loss: 1.925317, acc: 0.031250] 30856: [discriminator loss: 0.625403, acc: 0.617188] [adversarial loss: 0.979555, acc: 0.312500] 30857: [discriminator loss: 0.557382, acc: 0.703125] [adversarial loss: 1.511816, acc: 0.078125] 30858: [discriminator loss: 0.603936, acc: 0.671875] [adversarial loss: 0.904395, acc: 0.437500] 30859: [discriminator loss: 0.550150, acc: 0.687500] [adversarial loss: 1.549360, acc: 0.140625] 30860: [discriminator loss: 0.477598, acc: 0.750000] [adversarial loss: 1.127399, acc: 0.265625] 30861: [discriminator loss: 0.557685, acc: 0.695312] [adversarial loss: 1.309718, acc: 0.265625] 30862: [discriminator loss: 0.524656, acc: 0.765625] [adversarial loss: 1.030884, acc: 0.328125] 30863: [discriminator loss: 0.484472, acc: 0.796875] [adversarial loss: 1.696252, acc: 0.062500] 30864: [discriminator loss: 0.567354, acc: 0.695312] [adversarial loss: 0.974194, acc: 0.390625] 30865: [discriminator loss: 0.526461, acc: 0.765625] [adversarial loss: 1.340694, acc: 0.203125] 30866: [discriminator loss: 0.517093, acc: 0.765625] [adversarial loss: 1.063078, acc: 0.312500] 30867: [discriminator loss: 0.618083, acc: 0.664062] [adversarial loss: 1.436611, acc: 0.140625] 30868: [discriminator loss: 0.510718, acc: 0.734375] [adversarial loss: 1.075351, acc: 0.312500] 30869: [discriminator loss: 0.449781, acc: 0.789062] [adversarial loss: 1.409783, acc: 0.234375] 30870: [discriminator loss: 0.481167, acc: 0.757812] [adversarial loss: 1.363836, acc: 0.187500] 30871: [discriminator loss: 0.492959, acc: 0.750000] [adversarial loss: 1.364968, acc: 0.234375] 30872: [discriminator loss: 0.640670, acc: 0.710938] [adversarial loss: 1.388671, acc: 0.156250] 30873: [discriminator loss: 0.481629, acc: 0.734375] [adversarial loss: 0.911558, acc: 0.406250] 30874: [discriminator loss: 0.568707, acc: 0.703125] [adversarial loss: 1.675637, acc: 0.078125] 30875: [discriminator loss: 0.505006, acc: 0.710938] [adversarial loss: 0.841845, acc: 0.515625] 30876: [discriminator loss: 0.662940, acc: 0.648438] [adversarial loss: 1.950927, acc: 0.062500] 30877: [discriminator loss: 0.649487, acc: 0.656250] [adversarial loss: 0.595321, acc: 0.687500] 30878: [discriminator loss: 0.544277, acc: 0.726562] [adversarial loss: 1.433450, acc: 0.187500] 30879: [discriminator loss: 0.457757, acc: 0.789062] [adversarial loss: 1.262021, acc: 0.281250] 30880: [discriminator loss: 0.526801, acc: 0.757812] [adversarial loss: 1.320026, acc: 0.218750] 30881: [discriminator loss: 0.442735, acc: 0.796875] [adversarial loss: 1.374575, acc: 0.218750] 30882: [discriminator loss: 0.526335, acc: 0.671875] [adversarial loss: 0.869944, acc: 0.531250] 30883: [discriminator loss: 0.509764, acc: 0.781250] [adversarial loss: 1.216358, acc: 0.171875] 30884: [discriminator loss: 0.467530, acc: 0.765625] [adversarial loss: 0.970825, acc: 0.343750] 30885: [discriminator loss: 0.570646, acc: 0.765625] [adversarial loss: 1.116160, acc: 0.265625] 30886: [discriminator loss: 0.537987, acc: 0.710938] [adversarial loss: 1.309417, acc: 0.218750] 30887: [discriminator loss: 0.536683, acc: 0.734375] [adversarial loss: 1.095307, acc: 0.375000] 30888: [discriminator loss: 0.510405, acc: 0.742188] [adversarial loss: 1.285773, acc: 0.218750] 30889: [discriminator loss: 0.519346, acc: 0.703125] [adversarial loss: 1.298934, acc: 0.218750] 30890: [discriminator loss: 0.527486, acc: 0.734375] [adversarial loss: 1.150223, acc: 0.281250] 30891: [discriminator loss: 0.468089, acc: 0.796875] [adversarial loss: 1.320463, acc: 0.187500] 30892: [discriminator loss: 0.401414, acc: 0.859375] [adversarial loss: 1.391995, acc: 0.140625] 30893: [discriminator loss: 0.509755, acc: 0.757812] [adversarial loss: 0.959014, acc: 0.453125] 30894: [discriminator loss: 0.446474, acc: 0.804688] [adversarial loss: 1.532951, acc: 0.140625] 30895: [discriminator loss: 0.538678, acc: 0.742188] [adversarial loss: 0.810273, acc: 0.515625] 30896: [discriminator loss: 0.627279, acc: 0.648438] [adversarial loss: 1.683671, acc: 0.125000] 30897: [discriminator loss: 0.489245, acc: 0.726562] [adversarial loss: 1.010445, acc: 0.359375] 30898: [discriminator loss: 0.610576, acc: 0.695312] [adversarial loss: 1.355189, acc: 0.265625] 30899: [discriminator loss: 0.520434, acc: 0.734375] [adversarial loss: 1.119794, acc: 0.359375] 30900: [discriminator loss: 0.564568, acc: 0.687500] [adversarial loss: 1.225217, acc: 0.218750] 30901: [discriminator loss: 0.501384, acc: 0.742188] [adversarial loss: 1.086941, acc: 0.406250] 30902: [discriminator loss: 0.485470, acc: 0.742188] [adversarial loss: 1.716670, acc: 0.125000] 30903: [discriminator loss: 0.544629, acc: 0.687500] [adversarial loss: 0.885819, acc: 0.468750] 30904: [discriminator loss: 0.543725, acc: 0.703125] [adversarial loss: 1.729450, acc: 0.062500] 30905: [discriminator loss: 0.552339, acc: 0.687500] [adversarial loss: 0.837478, acc: 0.468750] 30906: [discriminator loss: 0.542095, acc: 0.742188] [adversarial loss: 1.673722, acc: 0.125000] 30907: [discriminator loss: 0.535166, acc: 0.718750] [adversarial loss: 1.020155, acc: 0.375000] 30908: [discriminator loss: 0.498750, acc: 0.750000] [adversarial loss: 1.084980, acc: 0.375000] 30909: [discriminator loss: 0.538849, acc: 0.703125] [adversarial loss: 0.841126, acc: 0.453125] 30910: [discriminator loss: 0.564674, acc: 0.718750] [adversarial loss: 1.687702, acc: 0.156250] 30911: [discriminator loss: 0.605022, acc: 0.664062] [adversarial loss: 0.912095, acc: 0.515625] 30912: [discriminator loss: 0.545725, acc: 0.710938] [adversarial loss: 1.506792, acc: 0.140625] 30913: [discriminator loss: 0.555025, acc: 0.695312] [adversarial loss: 1.141464, acc: 0.250000] 30914: [discriminator loss: 0.473719, acc: 0.765625] [adversarial loss: 1.540572, acc: 0.125000] 30915: [discriminator loss: 0.517726, acc: 0.742188] [adversarial loss: 1.174295, acc: 0.312500] 30916: [discriminator loss: 0.494200, acc: 0.750000] [adversarial loss: 1.561119, acc: 0.093750] 30917: [discriminator loss: 0.481908, acc: 0.710938] [adversarial loss: 0.960057, acc: 0.328125] 30918: [discriminator loss: 0.563095, acc: 0.710938] [adversarial loss: 1.348037, acc: 0.156250] 30919: [discriminator loss: 0.481016, acc: 0.742188] [adversarial loss: 1.115308, acc: 0.328125] 30920: [discriminator loss: 0.496503, acc: 0.765625] [adversarial loss: 0.906984, acc: 0.562500] 30921: [discriminator loss: 0.558463, acc: 0.687500] [adversarial loss: 1.468756, acc: 0.093750] 30922: [discriminator loss: 0.713097, acc: 0.601562] [adversarial loss: 0.743552, acc: 0.578125] 30923: [discriminator loss: 0.592921, acc: 0.671875] [adversarial loss: 1.843140, acc: 0.062500] 30924: [discriminator loss: 0.579340, acc: 0.726562] [adversarial loss: 1.005300, acc: 0.343750] 30925: [discriminator loss: 0.499071, acc: 0.742188] [adversarial loss: 1.423666, acc: 0.203125] 30926: [discriminator loss: 0.483686, acc: 0.765625] [adversarial loss: 1.089239, acc: 0.328125] 30927: [discriminator loss: 0.521759, acc: 0.718750] [adversarial loss: 1.353684, acc: 0.203125] 30928: [discriminator loss: 0.539749, acc: 0.726562] [adversarial loss: 1.213178, acc: 0.234375] 30929: [discriminator loss: 0.459449, acc: 0.812500] [adversarial loss: 1.126974, acc: 0.328125] 30930: [discriminator loss: 0.542995, acc: 0.750000] [adversarial loss: 1.011728, acc: 0.265625] 30931: [discriminator loss: 0.554483, acc: 0.718750] [adversarial loss: 1.548748, acc: 0.140625] 30932: [discriminator loss: 0.474717, acc: 0.757812] [adversarial loss: 1.230074, acc: 0.296875] 30933: [discriminator loss: 0.465120, acc: 0.820312] [adversarial loss: 1.075045, acc: 0.343750] 30934: [discriminator loss: 0.494701, acc: 0.781250] [adversarial loss: 1.262420, acc: 0.218750] 30935: [discriminator loss: 0.533037, acc: 0.718750] [adversarial loss: 0.752779, acc: 0.562500] 30936: [discriminator loss: 0.601366, acc: 0.664062] [adversarial loss: 1.860113, acc: 0.125000] 30937: [discriminator loss: 0.571136, acc: 0.687500] [adversarial loss: 0.986742, acc: 0.421875] 30938: [discriminator loss: 0.505214, acc: 0.718750] [adversarial loss: 1.599694, acc: 0.031250] 30939: [discriminator loss: 0.617694, acc: 0.656250] [adversarial loss: 1.177845, acc: 0.203125] 30940: [discriminator loss: 0.494660, acc: 0.750000] [adversarial loss: 1.407256, acc: 0.218750] 30941: [discriminator loss: 0.399873, acc: 0.835938] [adversarial loss: 1.669729, acc: 0.078125] 30942: [discriminator loss: 0.546689, acc: 0.703125] [adversarial loss: 1.237070, acc: 0.187500] 30943: [discriminator loss: 0.614411, acc: 0.664062] [adversarial loss: 1.511712, acc: 0.171875] 30944: [discriminator loss: 0.624075, acc: 0.656250] [adversarial loss: 1.316753, acc: 0.265625] 30945: [discriminator loss: 0.449813, acc: 0.757812] [adversarial loss: 1.315783, acc: 0.250000] 30946: [discriminator loss: 0.549495, acc: 0.671875] [adversarial loss: 1.192735, acc: 0.250000] 30947: [discriminator loss: 0.561423, acc: 0.687500] [adversarial loss: 1.305261, acc: 0.187500] 30948: [discriminator loss: 0.556595, acc: 0.671875] [adversarial loss: 1.283629, acc: 0.187500] 30949: [discriminator loss: 0.461536, acc: 0.742188] [adversarial loss: 0.958529, acc: 0.343750] 30950: [discriminator loss: 0.488910, acc: 0.734375] [adversarial loss: 1.331191, acc: 0.234375] 30951: [discriminator loss: 0.499981, acc: 0.750000] [adversarial loss: 1.160758, acc: 0.375000] 30952: [discriminator loss: 0.553186, acc: 0.734375] [adversarial loss: 1.187921, acc: 0.218750] 30953: [discriminator loss: 0.478905, acc: 0.781250] [adversarial loss: 1.144526, acc: 0.343750] 30954: [discriminator loss: 0.515121, acc: 0.750000] [adversarial loss: 1.453121, acc: 0.125000] 30955: [discriminator loss: 0.440130, acc: 0.781250] [adversarial loss: 0.899215, acc: 0.484375] 30956: [discriminator loss: 0.500159, acc: 0.742188] [adversarial loss: 1.537802, acc: 0.187500] 30957: [discriminator loss: 0.485229, acc: 0.710938] [adversarial loss: 0.730539, acc: 0.531250] 30958: [discriminator loss: 0.529790, acc: 0.703125] [adversarial loss: 1.867497, acc: 0.140625] 30959: [discriminator loss: 0.589672, acc: 0.671875] [adversarial loss: 1.046625, acc: 0.328125] 30960: [discriminator loss: 0.560241, acc: 0.695312] [adversarial loss: 1.280703, acc: 0.250000] 30961: [discriminator loss: 0.537595, acc: 0.671875] [adversarial loss: 1.164598, acc: 0.281250] 30962: [discriminator loss: 0.566883, acc: 0.679688] [adversarial loss: 1.649192, acc: 0.203125] 30963: [discriminator loss: 0.512695, acc: 0.742188] [adversarial loss: 1.096007, acc: 0.406250] 30964: [discriminator loss: 0.527556, acc: 0.734375] [adversarial loss: 1.441109, acc: 0.218750] 30965: [discriminator loss: 0.493791, acc: 0.750000] [adversarial loss: 0.995497, acc: 0.406250] 30966: [discriminator loss: 0.463003, acc: 0.773438] [adversarial loss: 1.332117, acc: 0.156250] 30967: [discriminator loss: 0.600657, acc: 0.671875] [adversarial loss: 0.892647, acc: 0.406250] 30968: [discriminator loss: 0.515228, acc: 0.742188] [adversarial loss: 1.381043, acc: 0.171875] 30969: [discriminator loss: 0.526995, acc: 0.710938] [adversarial loss: 0.822840, acc: 0.515625] 30970: [discriminator loss: 0.637135, acc: 0.687500] [adversarial loss: 1.793730, acc: 0.093750] 30971: [discriminator loss: 0.523879, acc: 0.734375] [adversarial loss: 0.997184, acc: 0.359375] 30972: [discriminator loss: 0.554812, acc: 0.695312] [adversarial loss: 1.148589, acc: 0.265625] 30973: [discriminator loss: 0.513965, acc: 0.773438] [adversarial loss: 1.394992, acc: 0.218750] 30974: [discriminator loss: 0.469734, acc: 0.750000] [adversarial loss: 1.134291, acc: 0.265625] 30975: [discriminator loss: 0.559399, acc: 0.695312] [adversarial loss: 1.328696, acc: 0.218750] 30976: [discriminator loss: 0.569552, acc: 0.648438] [adversarial loss: 1.020810, acc: 0.406250] 30977: [discriminator loss: 0.510322, acc: 0.742188] [adversarial loss: 1.334375, acc: 0.171875] 30978: [discriminator loss: 0.532447, acc: 0.718750] [adversarial loss: 1.124786, acc: 0.281250] 30979: [discriminator loss: 0.526929, acc: 0.765625] [adversarial loss: 1.485731, acc: 0.125000] 30980: [discriminator loss: 0.497956, acc: 0.742188] [adversarial loss: 1.124331, acc: 0.281250] 30981: [discriminator loss: 0.493752, acc: 0.757812] [adversarial loss: 1.730109, acc: 0.109375] 30982: [discriminator loss: 0.630328, acc: 0.656250] [adversarial loss: 0.787622, acc: 0.515625] 30983: [discriminator loss: 0.532977, acc: 0.757812] [adversarial loss: 1.305538, acc: 0.234375] 30984: [discriminator loss: 0.527371, acc: 0.750000] [adversarial loss: 1.142309, acc: 0.265625] 30985: [discriminator loss: 0.546083, acc: 0.710938] [adversarial loss: 1.445567, acc: 0.109375] 30986: [discriminator loss: 0.523020, acc: 0.718750] [adversarial loss: 1.324124, acc: 0.187500] 30987: [discriminator loss: 0.563559, acc: 0.687500] [adversarial loss: 1.047428, acc: 0.343750] 30988: [discriminator loss: 0.438972, acc: 0.765625] [adversarial loss: 1.446753, acc: 0.140625] 30989: [discriminator loss: 0.550449, acc: 0.679688] [adversarial loss: 0.699233, acc: 0.593750] 30990: [discriminator loss: 0.611533, acc: 0.664062] [adversarial loss: 1.704791, acc: 0.078125] 30991: [discriminator loss: 0.645176, acc: 0.656250] [adversarial loss: 0.913790, acc: 0.343750] 30992: [discriminator loss: 0.574121, acc: 0.679688] [adversarial loss: 1.583395, acc: 0.109375] 30993: [discriminator loss: 0.489034, acc: 0.734375] [adversarial loss: 1.087309, acc: 0.281250] 30994: [discriminator loss: 0.522235, acc: 0.710938] [adversarial loss: 1.089889, acc: 0.359375] 30995: [discriminator loss: 0.516050, acc: 0.765625] [adversarial loss: 1.432261, acc: 0.250000] 30996: [discriminator loss: 0.541305, acc: 0.703125] [adversarial loss: 1.426629, acc: 0.156250] 30997: [discriminator loss: 0.581679, acc: 0.656250] [adversarial loss: 0.955900, acc: 0.406250] 30998: [discriminator loss: 0.530742, acc: 0.710938] [adversarial loss: 1.519320, acc: 0.187500] 30999: [discriminator loss: 0.564151, acc: 0.726562] [adversarial loss: 1.325322, acc: 0.203125] 31000: [discriminator loss: 0.460440, acc: 0.804688] [adversarial loss: 1.200734, acc: 0.250000] 31001: [discriminator loss: 0.543149, acc: 0.679688] [adversarial loss: 1.442940, acc: 0.218750] 31002: [discriminator loss: 0.543951, acc: 0.703125] [adversarial loss: 0.921683, acc: 0.453125] 31003: [discriminator loss: 0.520242, acc: 0.757812] [adversarial loss: 1.413157, acc: 0.234375] 31004: [discriminator loss: 0.528624, acc: 0.750000] [adversarial loss: 1.407807, acc: 0.234375] 31005: [discriminator loss: 0.514430, acc: 0.796875] [adversarial loss: 1.147588, acc: 0.312500] 31006: [discriminator loss: 0.554719, acc: 0.695312] [adversarial loss: 1.325392, acc: 0.218750] 31007: [discriminator loss: 0.575859, acc: 0.734375] [adversarial loss: 1.304290, acc: 0.140625] 31008: [discriminator loss: 0.506201, acc: 0.742188] [adversarial loss: 1.086351, acc: 0.343750] 31009: [discriminator loss: 0.529565, acc: 0.703125] [adversarial loss: 1.630547, acc: 0.062500] 31010: [discriminator loss: 0.513120, acc: 0.703125] [adversarial loss: 1.018748, acc: 0.390625] 31011: [discriminator loss: 0.602782, acc: 0.656250] [adversarial loss: 1.715037, acc: 0.046875] 31012: [discriminator loss: 0.620117, acc: 0.664062] [adversarial loss: 0.848574, acc: 0.468750] 31013: [discriminator loss: 0.556863, acc: 0.703125] [adversarial loss: 1.602670, acc: 0.093750] 31014: [discriminator loss: 0.567894, acc: 0.625000] [adversarial loss: 0.843588, acc: 0.453125] 31015: [discriminator loss: 0.528210, acc: 0.734375] [adversarial loss: 1.614211, acc: 0.078125] 31016: [discriminator loss: 0.460865, acc: 0.789062] [adversarial loss: 1.018957, acc: 0.359375] 31017: [discriminator loss: 0.440427, acc: 0.773438] [adversarial loss: 1.278801, acc: 0.281250] 31018: [discriminator loss: 0.557561, acc: 0.710938] [adversarial loss: 1.366580, acc: 0.250000] 31019: [discriminator loss: 0.455001, acc: 0.804688] [adversarial loss: 1.116717, acc: 0.312500] 31020: [discriminator loss: 0.495351, acc: 0.750000] [adversarial loss: 1.108172, acc: 0.265625] 31021: [discriminator loss: 0.439554, acc: 0.781250] [adversarial loss: 1.174370, acc: 0.343750] 31022: [discriminator loss: 0.477829, acc: 0.773438] [adversarial loss: 1.217669, acc: 0.250000] 31023: [discriminator loss: 0.492779, acc: 0.781250] [adversarial loss: 1.414347, acc: 0.156250] 31024: [discriminator loss: 0.559145, acc: 0.703125] [adversarial loss: 0.910184, acc: 0.406250] 31025: [discriminator loss: 0.540165, acc: 0.765625] [adversarial loss: 1.728377, acc: 0.062500] 31026: [discriminator loss: 0.562046, acc: 0.695312] [adversarial loss: 1.072970, acc: 0.296875] 31027: [discriminator loss: 0.556411, acc: 0.710938] [adversarial loss: 1.193951, acc: 0.265625] 31028: [discriminator loss: 0.549992, acc: 0.679688] [adversarial loss: 1.278331, acc: 0.171875] 31029: [discriminator loss: 0.502871, acc: 0.757812] [adversarial loss: 1.387755, acc: 0.109375] 31030: [discriminator loss: 0.473291, acc: 0.718750] [adversarial loss: 1.036245, acc: 0.312500] 31031: [discriminator loss: 0.482184, acc: 0.773438] [adversarial loss: 1.637794, acc: 0.046875] 31032: [discriminator loss: 0.552915, acc: 0.687500] [adversarial loss: 0.904258, acc: 0.468750] 31033: [discriminator loss: 0.586338, acc: 0.671875] [adversarial loss: 1.712371, acc: 0.093750] 31034: [discriminator loss: 0.618374, acc: 0.656250] [adversarial loss: 0.861853, acc: 0.531250] 31035: [discriminator loss: 0.587910, acc: 0.664062] [adversarial loss: 1.824305, acc: 0.093750] 31036: [discriminator loss: 0.584567, acc: 0.664062] [adversarial loss: 0.974734, acc: 0.421875] 31037: [discriminator loss: 0.526022, acc: 0.757812] [adversarial loss: 1.450904, acc: 0.156250] 31038: [discriminator loss: 0.529650, acc: 0.726562] [adversarial loss: 1.199090, acc: 0.281250] 31039: [discriminator loss: 0.462125, acc: 0.781250] [adversarial loss: 0.968191, acc: 0.375000] 31040: [discriminator loss: 0.536302, acc: 0.710938] [adversarial loss: 1.329508, acc: 0.312500] 31041: [discriminator loss: 0.540933, acc: 0.765625] [adversarial loss: 0.904063, acc: 0.437500] 31042: [discriminator loss: 0.571093, acc: 0.687500] [adversarial loss: 1.561433, acc: 0.078125] 31043: [discriminator loss: 0.477540, acc: 0.765625] [adversarial loss: 1.129951, acc: 0.343750] 31044: [discriminator loss: 0.529311, acc: 0.757812] [adversarial loss: 1.370769, acc: 0.250000] 31045: [discriminator loss: 0.503232, acc: 0.757812] [adversarial loss: 1.056233, acc: 0.312500] 31046: [discriminator loss: 0.449640, acc: 0.804688] [adversarial loss: 1.542870, acc: 0.171875] 31047: [discriminator loss: 0.491366, acc: 0.726562] [adversarial loss: 1.020283, acc: 0.328125] 31048: [discriminator loss: 0.466192, acc: 0.765625] [adversarial loss: 1.517611, acc: 0.078125] 31049: [discriminator loss: 0.515297, acc: 0.750000] [adversarial loss: 1.131916, acc: 0.265625] 31050: [discriminator loss: 0.586384, acc: 0.710938] [adversarial loss: 1.546791, acc: 0.140625] 31051: [discriminator loss: 0.524493, acc: 0.710938] [adversarial loss: 1.310580, acc: 0.140625] 31052: [discriminator loss: 0.431411, acc: 0.828125] [adversarial loss: 1.231591, acc: 0.312500] 31053: [discriminator loss: 0.533279, acc: 0.679688] [adversarial loss: 1.081107, acc: 0.343750] 31054: [discriminator loss: 0.494704, acc: 0.726562] [adversarial loss: 1.101052, acc: 0.421875] 31055: [discriminator loss: 0.561883, acc: 0.679688] [adversarial loss: 1.173622, acc: 0.343750] 31056: [discriminator loss: 0.474570, acc: 0.789062] [adversarial loss: 1.029819, acc: 0.390625] 31057: [discriminator loss: 0.497037, acc: 0.765625] [adversarial loss: 1.730573, acc: 0.125000] 31058: [discriminator loss: 0.575792, acc: 0.726562] [adversarial loss: 1.027446, acc: 0.484375] 31059: [discriminator loss: 0.486682, acc: 0.726562] [adversarial loss: 1.456041, acc: 0.203125] 31060: [discriminator loss: 0.501183, acc: 0.781250] [adversarial loss: 1.035335, acc: 0.328125] 31061: [discriminator loss: 0.497952, acc: 0.718750] [adversarial loss: 1.559538, acc: 0.187500] 31062: [discriminator loss: 0.578141, acc: 0.710938] [adversarial loss: 0.749039, acc: 0.531250] 31063: [discriminator loss: 0.618282, acc: 0.718750] [adversarial loss: 1.694105, acc: 0.125000] 31064: [discriminator loss: 0.575615, acc: 0.703125] [adversarial loss: 0.987490, acc: 0.453125] 31065: [discriminator loss: 0.579092, acc: 0.664062] [adversarial loss: 1.453657, acc: 0.156250] 31066: [discriminator loss: 0.436852, acc: 0.773438] [adversarial loss: 1.317777, acc: 0.156250] 31067: [discriminator loss: 0.536588, acc: 0.703125] [adversarial loss: 1.303587, acc: 0.203125] 31068: [discriminator loss: 0.473708, acc: 0.812500] [adversarial loss: 1.211882, acc: 0.281250] 31069: [discriminator loss: 0.549337, acc: 0.687500] [adversarial loss: 1.311531, acc: 0.187500] 31070: [discriminator loss: 0.477879, acc: 0.781250] [adversarial loss: 1.267207, acc: 0.265625] 31071: [discriminator loss: 0.486738, acc: 0.757812] [adversarial loss: 1.039049, acc: 0.343750] 31072: [discriminator loss: 0.504351, acc: 0.750000] [adversarial loss: 1.247641, acc: 0.296875] 31073: [discriminator loss: 0.479748, acc: 0.796875] [adversarial loss: 1.508857, acc: 0.187500] 31074: [discriminator loss: 0.556076, acc: 0.695312] [adversarial loss: 1.341927, acc: 0.265625] 31075: [discriminator loss: 0.491218, acc: 0.796875] [adversarial loss: 1.462381, acc: 0.187500] 31076: [discriminator loss: 0.540200, acc: 0.718750] [adversarial loss: 1.253802, acc: 0.343750] 31077: [discriminator loss: 0.517633, acc: 0.726562] [adversarial loss: 1.381964, acc: 0.187500] 31078: [discriminator loss: 0.525686, acc: 0.734375] [adversarial loss: 1.303983, acc: 0.265625] 31079: [discriminator loss: 0.546539, acc: 0.710938] [adversarial loss: 1.629242, acc: 0.187500] 31080: [discriminator loss: 0.551250, acc: 0.687500] [adversarial loss: 0.912851, acc: 0.437500] 31081: [discriminator loss: 0.549299, acc: 0.718750] [adversarial loss: 1.556116, acc: 0.125000] 31082: [discriminator loss: 0.468647, acc: 0.757812] [adversarial loss: 0.977735, acc: 0.437500] 31083: [discriminator loss: 0.594383, acc: 0.679688] [adversarial loss: 1.322575, acc: 0.234375] 31084: [discriminator loss: 0.496925, acc: 0.742188] [adversarial loss: 0.899684, acc: 0.421875] 31085: [discriminator loss: 0.617444, acc: 0.710938] [adversarial loss: 1.669135, acc: 0.109375] 31086: [discriminator loss: 0.639806, acc: 0.632812] [adversarial loss: 0.791686, acc: 0.531250] 31087: [discriminator loss: 0.539322, acc: 0.757812] [adversarial loss: 1.718948, acc: 0.078125] 31088: [discriminator loss: 0.513503, acc: 0.757812] [adversarial loss: 0.913301, acc: 0.437500] 31089: [discriminator loss: 0.535982, acc: 0.687500] [adversarial loss: 1.607122, acc: 0.171875] 31090: [discriminator loss: 0.517927, acc: 0.718750] [adversarial loss: 1.231835, acc: 0.281250] 31091: [discriminator loss: 0.547815, acc: 0.726562] [adversarial loss: 1.540664, acc: 0.125000] 31092: [discriminator loss: 0.506776, acc: 0.742188] [adversarial loss: 1.046426, acc: 0.343750] 31093: [discriminator loss: 0.489037, acc: 0.742188] [adversarial loss: 1.648271, acc: 0.140625] 31094: [discriminator loss: 0.529430, acc: 0.765625] [adversarial loss: 1.261692, acc: 0.281250] 31095: [discriminator loss: 0.579543, acc: 0.718750] [adversarial loss: 1.305412, acc: 0.250000] 31096: [discriminator loss: 0.542174, acc: 0.710938] [adversarial loss: 1.268939, acc: 0.296875] 31097: [discriminator loss: 0.505773, acc: 0.750000] [adversarial loss: 1.324620, acc: 0.250000] 31098: [discriminator loss: 0.488613, acc: 0.726562] [adversarial loss: 1.294924, acc: 0.203125] 31099: [discriminator loss: 0.467316, acc: 0.773438] [adversarial loss: 1.311601, acc: 0.203125] 31100: [discriminator loss: 0.557348, acc: 0.718750] [adversarial loss: 0.982754, acc: 0.375000] 31101: [discriminator loss: 0.539575, acc: 0.742188] [adversarial loss: 1.487548, acc: 0.234375] 31102: [discriminator loss: 0.493172, acc: 0.765625] [adversarial loss: 1.287369, acc: 0.328125] 31103: [discriminator loss: 0.503970, acc: 0.734375] [adversarial loss: 1.363596, acc: 0.250000] 31104: [discriminator loss: 0.564395, acc: 0.679688] [adversarial loss: 1.228773, acc: 0.218750] 31105: [discriminator loss: 0.568453, acc: 0.671875] [adversarial loss: 1.429960, acc: 0.203125] 31106: [discriminator loss: 0.528975, acc: 0.734375] [adversarial loss: 1.048950, acc: 0.484375] 31107: [discriminator loss: 0.535485, acc: 0.718750] [adversarial loss: 1.459016, acc: 0.203125] 31108: [discriminator loss: 0.479218, acc: 0.796875] [adversarial loss: 1.375911, acc: 0.234375] 31109: [discriminator loss: 0.459378, acc: 0.765625] [adversarial loss: 1.362940, acc: 0.187500] 31110: [discriminator loss: 0.551550, acc: 0.726562] [adversarial loss: 1.034236, acc: 0.375000] 31111: [discriminator loss: 0.471827, acc: 0.773438] [adversarial loss: 1.379114, acc: 0.250000] 31112: [discriminator loss: 0.583293, acc: 0.640625] [adversarial loss: 0.995338, acc: 0.390625] 31113: [discriminator loss: 0.507732, acc: 0.742188] [adversarial loss: 1.825509, acc: 0.125000] 31114: [discriminator loss: 0.597874, acc: 0.648438] [adversarial loss: 0.861962, acc: 0.500000] 31115: [discriminator loss: 0.674516, acc: 0.679688] [adversarial loss: 1.962008, acc: 0.078125] 31116: [discriminator loss: 0.670652, acc: 0.609375] [adversarial loss: 0.894203, acc: 0.468750] 31117: [discriminator loss: 0.578672, acc: 0.648438] [adversarial loss: 1.678369, acc: 0.125000] 31118: [discriminator loss: 0.540608, acc: 0.710938] [adversarial loss: 0.995424, acc: 0.312500] 31119: [discriminator loss: 0.583139, acc: 0.671875] [adversarial loss: 1.576275, acc: 0.125000] 31120: [discriminator loss: 0.566226, acc: 0.734375] [adversarial loss: 0.975327, acc: 0.468750] 31121: [discriminator loss: 0.505338, acc: 0.734375] [adversarial loss: 1.583718, acc: 0.140625] 31122: [discriminator loss: 0.618839, acc: 0.664062] [adversarial loss: 1.216397, acc: 0.250000] 31123: [discriminator loss: 0.490249, acc: 0.796875] [adversarial loss: 1.549936, acc: 0.171875] 31124: [discriminator loss: 0.563129, acc: 0.687500] [adversarial loss: 1.205826, acc: 0.265625] 31125: [discriminator loss: 0.498667, acc: 0.750000] [adversarial loss: 1.679467, acc: 0.093750] 31126: [discriminator loss: 0.480995, acc: 0.765625] [adversarial loss: 1.026370, acc: 0.343750] 31127: [discriminator loss: 0.575551, acc: 0.734375] [adversarial loss: 1.833454, acc: 0.156250] 31128: [discriminator loss: 0.569557, acc: 0.718750] [adversarial loss: 1.197021, acc: 0.312500] 31129: [discriminator loss: 0.577152, acc: 0.656250] [adversarial loss: 1.471102, acc: 0.171875] 31130: [discriminator loss: 0.491931, acc: 0.781250] [adversarial loss: 1.095747, acc: 0.343750] 31131: [discriminator loss: 0.413405, acc: 0.820312] [adversarial loss: 1.352441, acc: 0.265625] 31132: [discriminator loss: 0.476227, acc: 0.750000] [adversarial loss: 1.141907, acc: 0.296875] 31133: [discriminator loss: 0.507864, acc: 0.742188] [adversarial loss: 1.444911, acc: 0.312500] 31134: [discriminator loss: 0.572565, acc: 0.671875] [adversarial loss: 1.055390, acc: 0.281250] 31135: [discriminator loss: 0.601246, acc: 0.671875] [adversarial loss: 1.186606, acc: 0.328125] 31136: [discriminator loss: 0.480050, acc: 0.757812] [adversarial loss: 1.225666, acc: 0.265625] 31137: [discriminator loss: 0.521120, acc: 0.703125] [adversarial loss: 1.705573, acc: 0.062500] 31138: [discriminator loss: 0.608564, acc: 0.640625] [adversarial loss: 0.803368, acc: 0.515625] 31139: [discriminator loss: 0.543867, acc: 0.710938] [adversarial loss: 1.410541, acc: 0.140625] 31140: [discriminator loss: 0.512371, acc: 0.750000] [adversarial loss: 1.197986, acc: 0.312500] 31141: [discriminator loss: 0.504003, acc: 0.750000] [adversarial loss: 1.556806, acc: 0.093750] 31142: [discriminator loss: 0.489137, acc: 0.726562] [adversarial loss: 1.192559, acc: 0.312500] 31143: [discriminator loss: 0.531100, acc: 0.750000] [adversarial loss: 1.782100, acc: 0.125000] 31144: [discriminator loss: 0.660080, acc: 0.656250] [adversarial loss: 0.719555, acc: 0.578125] 31145: [discriminator loss: 0.550010, acc: 0.742188] [adversarial loss: 1.672695, acc: 0.062500] 31146: [discriminator loss: 0.600887, acc: 0.617188] [adversarial loss: 1.273929, acc: 0.218750] 31147: [discriminator loss: 0.531334, acc: 0.710938] [adversarial loss: 0.882262, acc: 0.437500] 31148: [discriminator loss: 0.459766, acc: 0.757812] [adversarial loss: 1.069645, acc: 0.390625] 31149: [discriminator loss: 0.620624, acc: 0.671875] [adversarial loss: 1.366044, acc: 0.187500] 31150: [discriminator loss: 0.521590, acc: 0.750000] [adversarial loss: 1.265148, acc: 0.218750] 31151: [discriminator loss: 0.440929, acc: 0.773438] [adversarial loss: 0.940927, acc: 0.421875] 31152: [discriminator loss: 0.475196, acc: 0.812500] [adversarial loss: 1.452814, acc: 0.187500] 31153: [discriminator loss: 0.537492, acc: 0.718750] [adversarial loss: 1.244785, acc: 0.234375] 31154: [discriminator loss: 0.506739, acc: 0.773438] [adversarial loss: 0.754761, acc: 0.515625] 31155: [discriminator loss: 0.575195, acc: 0.671875] [adversarial loss: 1.537628, acc: 0.109375] 31156: [discriminator loss: 0.541508, acc: 0.687500] [adversarial loss: 0.720613, acc: 0.546875] 31157: [discriminator loss: 0.544472, acc: 0.703125] [adversarial loss: 1.430127, acc: 0.234375] 31158: [discriminator loss: 0.547549, acc: 0.664062] [adversarial loss: 1.187599, acc: 0.328125] 31159: [discriminator loss: 0.490276, acc: 0.773438] [adversarial loss: 1.596527, acc: 0.156250] 31160: [discriminator loss: 0.483964, acc: 0.765625] [adversarial loss: 1.018520, acc: 0.421875] 31161: [discriminator loss: 0.495822, acc: 0.757812] [adversarial loss: 1.464294, acc: 0.125000] 31162: [discriminator loss: 0.479662, acc: 0.812500] [adversarial loss: 1.060464, acc: 0.406250] 31163: [discriminator loss: 0.507832, acc: 0.726562] [adversarial loss: 1.443039, acc: 0.265625] 31164: [discriminator loss: 0.515860, acc: 0.734375] [adversarial loss: 1.139742, acc: 0.281250] 31165: [discriminator loss: 0.469937, acc: 0.757812] [adversarial loss: 1.601703, acc: 0.125000] 31166: [discriminator loss: 0.551251, acc: 0.664062] [adversarial loss: 1.016732, acc: 0.375000] 31167: [discriminator loss: 0.553814, acc: 0.703125] [adversarial loss: 1.582437, acc: 0.125000] 31168: [discriminator loss: 0.471336, acc: 0.757812] [adversarial loss: 1.363531, acc: 0.156250] 31169: [discriminator loss: 0.450144, acc: 0.781250] [adversarial loss: 1.212967, acc: 0.390625] 31170: [discriminator loss: 0.506643, acc: 0.773438] [adversarial loss: 1.259468, acc: 0.171875] 31171: [discriminator loss: 0.597478, acc: 0.664062] [adversarial loss: 1.466424, acc: 0.093750] 31172: [discriminator loss: 0.546754, acc: 0.695312] [adversarial loss: 1.224582, acc: 0.296875] 31173: [discriminator loss: 0.533506, acc: 0.671875] [adversarial loss: 1.406436, acc: 0.140625] 31174: [discriminator loss: 0.555086, acc: 0.710938] [adversarial loss: 1.199079, acc: 0.218750] 31175: [discriminator loss: 0.499884, acc: 0.734375] [adversarial loss: 1.279627, acc: 0.218750] 31176: [discriminator loss: 0.436612, acc: 0.796875] [adversarial loss: 1.019565, acc: 0.375000] 31177: [discriminator loss: 0.578936, acc: 0.695312] [adversarial loss: 1.954593, acc: 0.031250] 31178: [discriminator loss: 0.601751, acc: 0.656250] [adversarial loss: 0.791049, acc: 0.562500] 31179: [discriminator loss: 0.630615, acc: 0.695312] [adversarial loss: 1.939981, acc: 0.062500] 31180: [discriminator loss: 0.565002, acc: 0.679688] [adversarial loss: 1.069848, acc: 0.375000] 31181: [discriminator loss: 0.545868, acc: 0.718750] [adversarial loss: 1.558668, acc: 0.171875] 31182: [discriminator loss: 0.456847, acc: 0.789062] [adversarial loss: 1.160155, acc: 0.343750] 31183: [discriminator loss: 0.525786, acc: 0.757812] [adversarial loss: 1.373408, acc: 0.265625] 31184: [discriminator loss: 0.527696, acc: 0.757812] [adversarial loss: 1.072270, acc: 0.406250] 31185: [discriminator loss: 0.470118, acc: 0.789062] [adversarial loss: 1.486303, acc: 0.203125] 31186: [discriminator loss: 0.600650, acc: 0.687500] [adversarial loss: 1.175561, acc: 0.250000] 31187: [discriminator loss: 0.485117, acc: 0.773438] [adversarial loss: 1.360078, acc: 0.218750] 31188: [discriminator loss: 0.454623, acc: 0.757812] [adversarial loss: 0.984412, acc: 0.406250] 31189: [discriminator loss: 0.587556, acc: 0.625000] [adversarial loss: 1.509341, acc: 0.187500] 31190: [discriminator loss: 0.510256, acc: 0.718750] [adversarial loss: 1.011723, acc: 0.343750] 31191: [discriminator loss: 0.578493, acc: 0.710938] [adversarial loss: 1.569953, acc: 0.156250] 31192: [discriminator loss: 0.465924, acc: 0.742188] [adversarial loss: 1.243606, acc: 0.187500] 31193: [discriminator loss: 0.529854, acc: 0.726562] [adversarial loss: 1.373306, acc: 0.171875] 31194: [discriminator loss: 0.506364, acc: 0.750000] [adversarial loss: 1.245774, acc: 0.328125] 31195: [discriminator loss: 0.509099, acc: 0.750000] [adversarial loss: 1.268184, acc: 0.265625] 31196: [discriminator loss: 0.524046, acc: 0.679688] [adversarial loss: 1.121564, acc: 0.375000] 31197: [discriminator loss: 0.477299, acc: 0.796875] [adversarial loss: 1.018193, acc: 0.359375] 31198: [discriminator loss: 0.540633, acc: 0.718750] [adversarial loss: 1.603814, acc: 0.125000] 31199: [discriminator loss: 0.555469, acc: 0.648438] [adversarial loss: 1.014102, acc: 0.390625] 31200: [discriminator loss: 0.590820, acc: 0.687500] [adversarial loss: 1.574122, acc: 0.093750] 31201: [discriminator loss: 0.629718, acc: 0.640625] [adversarial loss: 0.818225, acc: 0.468750] 31202: [discriminator loss: 0.556756, acc: 0.718750] [adversarial loss: 1.696381, acc: 0.093750] 31203: [discriminator loss: 0.539447, acc: 0.726562] [adversarial loss: 0.977048, acc: 0.343750] 31204: [discriminator loss: 0.624770, acc: 0.703125] [adversarial loss: 1.469849, acc: 0.125000] 31205: [discriminator loss: 0.498969, acc: 0.726562] [adversarial loss: 1.129279, acc: 0.359375] 31206: [discriminator loss: 0.589714, acc: 0.656250] [adversarial loss: 1.683440, acc: 0.093750] 31207: [discriminator loss: 0.517276, acc: 0.718750] [adversarial loss: 1.153141, acc: 0.281250] 31208: [discriminator loss: 0.500128, acc: 0.726562] [adversarial loss: 1.391612, acc: 0.140625] 31209: [discriminator loss: 0.524207, acc: 0.726562] [adversarial loss: 0.940494, acc: 0.500000] 31210: [discriminator loss: 0.504956, acc: 0.765625] [adversarial loss: 1.589119, acc: 0.109375] 31211: [discriminator loss: 0.547891, acc: 0.734375] [adversarial loss: 1.044319, acc: 0.375000] 31212: [discriminator loss: 0.593891, acc: 0.671875] [adversarial loss: 1.779474, acc: 0.062500] 31213: [discriminator loss: 0.617804, acc: 0.664062] [adversarial loss: 0.903613, acc: 0.390625] 31214: [discriminator loss: 0.515699, acc: 0.726562] [adversarial loss: 1.659542, acc: 0.109375] 31215: [discriminator loss: 0.581616, acc: 0.695312] [adversarial loss: 1.059236, acc: 0.421875] 31216: [discriminator loss: 0.613792, acc: 0.664062] [adversarial loss: 1.591179, acc: 0.078125] 31217: [discriminator loss: 0.496381, acc: 0.757812] [adversarial loss: 0.903324, acc: 0.500000] 31218: [discriminator loss: 0.549340, acc: 0.718750] [adversarial loss: 1.621613, acc: 0.171875] 31219: [discriminator loss: 0.531086, acc: 0.703125] [adversarial loss: 1.023654, acc: 0.328125] 31220: [discriminator loss: 0.551613, acc: 0.726562] [adversarial loss: 1.292599, acc: 0.312500] 31221: [discriminator loss: 0.526338, acc: 0.718750] [adversarial loss: 1.331417, acc: 0.187500] 31222: [discriminator loss: 0.554935, acc: 0.656250] [adversarial loss: 1.270035, acc: 0.250000] 31223: [discriminator loss: 0.545120, acc: 0.734375] [adversarial loss: 1.287620, acc: 0.218750] 31224: [discriminator loss: 0.468848, acc: 0.773438] [adversarial loss: 1.362543, acc: 0.281250] 31225: [discriminator loss: 0.417485, acc: 0.789062] [adversarial loss: 1.124098, acc: 0.328125] 31226: [discriminator loss: 0.499382, acc: 0.734375] [adversarial loss: 1.042259, acc: 0.437500] 31227: [discriminator loss: 0.550533, acc: 0.671875] [adversarial loss: 1.680578, acc: 0.156250] 31228: [discriminator loss: 0.532412, acc: 0.671875] [adversarial loss: 1.215842, acc: 0.312500] 31229: [discriminator loss: 0.468327, acc: 0.773438] [adversarial loss: 1.355764, acc: 0.171875] 31230: [discriminator loss: 0.481959, acc: 0.734375] [adversarial loss: 0.909007, acc: 0.546875] 31231: [discriminator loss: 0.514202, acc: 0.726562] [adversarial loss: 1.843650, acc: 0.125000] 31232: [discriminator loss: 0.568354, acc: 0.687500] [adversarial loss: 1.210044, acc: 0.265625] 31233: [discriminator loss: 0.502004, acc: 0.789062] [adversarial loss: 1.562781, acc: 0.140625] 31234: [discriminator loss: 0.528119, acc: 0.679688] [adversarial loss: 0.978090, acc: 0.375000] 31235: [discriminator loss: 0.537583, acc: 0.687500] [adversarial loss: 1.833852, acc: 0.093750] 31236: [discriminator loss: 0.496609, acc: 0.750000] [adversarial loss: 1.073252, acc: 0.375000] 31237: [discriminator loss: 0.590959, acc: 0.671875] [adversarial loss: 1.645325, acc: 0.156250] 31238: [discriminator loss: 0.545444, acc: 0.687500] [adversarial loss: 0.986708, acc: 0.359375] 31239: [discriminator loss: 0.516813, acc: 0.726562] [adversarial loss: 1.595864, acc: 0.171875] 31240: [discriminator loss: 0.534430, acc: 0.718750] [adversarial loss: 1.088361, acc: 0.421875] 31241: [discriminator loss: 0.514652, acc: 0.757812] [adversarial loss: 1.320581, acc: 0.234375] 31242: [discriminator loss: 0.589879, acc: 0.648438] [adversarial loss: 1.134844, acc: 0.390625] 31243: [discriminator loss: 0.502256, acc: 0.757812] [adversarial loss: 1.273199, acc: 0.187500] 31244: [discriminator loss: 0.464332, acc: 0.734375] [adversarial loss: 0.954671, acc: 0.437500] 31245: [discriminator loss: 0.564993, acc: 0.773438] [adversarial loss: 1.301702, acc: 0.281250] 31246: [discriminator loss: 0.529428, acc: 0.703125] [adversarial loss: 1.428689, acc: 0.078125] 31247: [discriminator loss: 0.492441, acc: 0.773438] [adversarial loss: 1.086361, acc: 0.421875] 31248: [discriminator loss: 0.605666, acc: 0.679688] [adversarial loss: 1.343374, acc: 0.203125] 31249: [discriminator loss: 0.438961, acc: 0.828125] [adversarial loss: 1.132727, acc: 0.296875] 31250: [discriminator loss: 0.461880, acc: 0.757812] [adversarial loss: 1.324234, acc: 0.218750] 31251: [discriminator loss: 0.568532, acc: 0.687500] [adversarial loss: 1.041695, acc: 0.312500] 31252: [discriminator loss: 0.554261, acc: 0.726562] [adversarial loss: 1.525754, acc: 0.109375] 31253: [discriminator loss: 0.523788, acc: 0.734375] [adversarial loss: 1.138670, acc: 0.343750] 31254: [discriminator loss: 0.476853, acc: 0.765625] [adversarial loss: 1.155559, acc: 0.234375] 31255: [discriminator loss: 0.514835, acc: 0.765625] [adversarial loss: 1.381468, acc: 0.156250] 31256: [discriminator loss: 0.551406, acc: 0.687500] [adversarial loss: 0.941505, acc: 0.484375] 31257: [discriminator loss: 0.497083, acc: 0.781250] [adversarial loss: 1.725382, acc: 0.156250] 31258: [discriminator loss: 0.577842, acc: 0.710938] [adversarial loss: 0.883750, acc: 0.500000] 31259: [discriminator loss: 0.511617, acc: 0.718750] [adversarial loss: 1.516714, acc: 0.109375] 31260: [discriminator loss: 0.484801, acc: 0.710938] [adversarial loss: 1.018692, acc: 0.375000] 31261: [discriminator loss: 0.531653, acc: 0.773438] [adversarial loss: 1.303235, acc: 0.250000] 31262: [discriminator loss: 0.523368, acc: 0.734375] [adversarial loss: 0.988535, acc: 0.406250] 31263: [discriminator loss: 0.557352, acc: 0.726562] [adversarial loss: 1.651748, acc: 0.109375] 31264: [discriminator loss: 0.615717, acc: 0.656250] [adversarial loss: 1.059887, acc: 0.359375] 31265: [discriminator loss: 0.505063, acc: 0.750000] [adversarial loss: 1.659537, acc: 0.171875] 31266: [discriminator loss: 0.557371, acc: 0.687500] [adversarial loss: 1.047279, acc: 0.328125] 31267: [discriminator loss: 0.537296, acc: 0.695312] [adversarial loss: 1.563658, acc: 0.109375] 31268: [discriminator loss: 0.512406, acc: 0.726562] [adversarial loss: 0.900006, acc: 0.406250] 31269: [discriminator loss: 0.527476, acc: 0.718750] [adversarial loss: 1.390136, acc: 0.156250] 31270: [discriminator loss: 0.438879, acc: 0.773438] [adversarial loss: 1.584128, acc: 0.093750] 31271: [discriminator loss: 0.518349, acc: 0.726562] [adversarial loss: 1.593407, acc: 0.203125] 31272: [discriminator loss: 0.471824, acc: 0.718750] [adversarial loss: 1.111825, acc: 0.296875] 31273: [discriminator loss: 0.542244, acc: 0.718750] [adversarial loss: 1.001678, acc: 0.406250] 31274: [discriminator loss: 0.459465, acc: 0.796875] [adversarial loss: 1.728704, acc: 0.109375] 31275: [discriminator loss: 0.597740, acc: 0.710938] [adversarial loss: 0.900961, acc: 0.421875] 31276: [discriminator loss: 0.537689, acc: 0.679688] [adversarial loss: 1.563189, acc: 0.109375] 31277: [discriminator loss: 0.530433, acc: 0.718750] [adversarial loss: 0.930258, acc: 0.453125] 31278: [discriminator loss: 0.521929, acc: 0.710938] [adversarial loss: 1.584735, acc: 0.140625] 31279: [discriminator loss: 0.525847, acc: 0.765625] [adversarial loss: 1.073184, acc: 0.421875] 31280: [discriminator loss: 0.526546, acc: 0.742188] [adversarial loss: 1.299079, acc: 0.203125] 31281: [discriminator loss: 0.585323, acc: 0.695312] [adversarial loss: 0.820819, acc: 0.453125] 31282: [discriminator loss: 0.470889, acc: 0.796875] [adversarial loss: 1.676138, acc: 0.078125] 31283: [discriminator loss: 0.562013, acc: 0.671875] [adversarial loss: 1.039145, acc: 0.343750] 31284: [discriminator loss: 0.580712, acc: 0.726562] [adversarial loss: 1.282460, acc: 0.218750] 31285: [discriminator loss: 0.428997, acc: 0.796875] [adversarial loss: 0.992594, acc: 0.453125] 31286: [discriminator loss: 0.565870, acc: 0.718750] [adversarial loss: 1.805839, acc: 0.062500] 31287: [discriminator loss: 0.579474, acc: 0.679688] [adversarial loss: 1.157738, acc: 0.390625] 31288: [discriminator loss: 0.603127, acc: 0.648438] [adversarial loss: 1.872205, acc: 0.093750] 31289: [discriminator loss: 0.562517, acc: 0.695312] [adversarial loss: 1.326516, acc: 0.218750] 31290: [discriminator loss: 0.481452, acc: 0.765625] [adversarial loss: 1.226316, acc: 0.218750] 31291: [discriminator loss: 0.531602, acc: 0.734375] [adversarial loss: 1.386928, acc: 0.125000] 31292: [discriminator loss: 0.562381, acc: 0.648438] [adversarial loss: 1.080635, acc: 0.328125] 31293: [discriminator loss: 0.467977, acc: 0.750000] [adversarial loss: 1.162411, acc: 0.265625] 31294: [discriminator loss: 0.556516, acc: 0.710938] [adversarial loss: 1.154003, acc: 0.343750] 31295: [discriminator loss: 0.494697, acc: 0.734375] [adversarial loss: 1.192526, acc: 0.281250] 31296: [discriminator loss: 0.502579, acc: 0.750000] [adversarial loss: 1.507334, acc: 0.171875] 31297: [discriminator loss: 0.551402, acc: 0.710938] [adversarial loss: 1.245520, acc: 0.281250] 31298: [discriminator loss: 0.579308, acc: 0.726562] [adversarial loss: 1.575103, acc: 0.140625] 31299: [discriminator loss: 0.516288, acc: 0.734375] [adversarial loss: 1.009421, acc: 0.421875] 31300: [discriminator loss: 0.578615, acc: 0.703125] [adversarial loss: 1.496873, acc: 0.125000] 31301: [discriminator loss: 0.565751, acc: 0.750000] [adversarial loss: 1.030349, acc: 0.343750] 31302: [discriminator loss: 0.638696, acc: 0.664062] [adversarial loss: 1.666862, acc: 0.140625] 31303: [discriminator loss: 0.545523, acc: 0.656250] [adversarial loss: 0.912215, acc: 0.421875] 31304: [discriminator loss: 0.547640, acc: 0.750000] [adversarial loss: 1.397153, acc: 0.218750] 31305: [discriminator loss: 0.526825, acc: 0.757812] [adversarial loss: 1.126947, acc: 0.312500] 31306: [discriminator loss: 0.647441, acc: 0.640625] [adversarial loss: 1.679539, acc: 0.046875] 31307: [discriminator loss: 0.553663, acc: 0.671875] [adversarial loss: 0.909126, acc: 0.484375] 31308: [discriminator loss: 0.543736, acc: 0.718750] [adversarial loss: 1.546676, acc: 0.125000] 31309: [discriminator loss: 0.519207, acc: 0.679688] [adversarial loss: 0.942351, acc: 0.406250] 31310: [discriminator loss: 0.602201, acc: 0.687500] [adversarial loss: 1.431477, acc: 0.218750] 31311: [discriminator loss: 0.489622, acc: 0.742188] [adversarial loss: 0.921413, acc: 0.437500] 31312: [discriminator loss: 0.490999, acc: 0.742188] [adversarial loss: 1.437945, acc: 0.156250] 31313: [discriminator loss: 0.533541, acc: 0.734375] [adversarial loss: 1.194139, acc: 0.203125] 31314: [discriminator loss: 0.456600, acc: 0.851562] [adversarial loss: 1.293808, acc: 0.250000] 31315: [discriminator loss: 0.525058, acc: 0.734375] [adversarial loss: 1.214046, acc: 0.203125] 31316: [discriminator loss: 0.542539, acc: 0.726562] [adversarial loss: 1.212162, acc: 0.265625] 31317: [discriminator loss: 0.520764, acc: 0.757812] [adversarial loss: 1.038008, acc: 0.328125] 31318: [discriminator loss: 0.553783, acc: 0.765625] [adversarial loss: 1.632763, acc: 0.187500] 31319: [discriminator loss: 0.478626, acc: 0.718750] [adversarial loss: 1.024410, acc: 0.390625] 31320: [discriminator loss: 0.536530, acc: 0.757812] [adversarial loss: 1.361494, acc: 0.156250] 31321: [discriminator loss: 0.478178, acc: 0.773438] [adversarial loss: 0.902332, acc: 0.437500] 31322: [discriminator loss: 0.587505, acc: 0.664062] [adversarial loss: 1.435004, acc: 0.218750] 31323: [discriminator loss: 0.392478, acc: 0.867188] [adversarial loss: 1.350433, acc: 0.250000] 31324: [discriminator loss: 0.522975, acc: 0.750000] [adversarial loss: 1.121817, acc: 0.343750] 31325: [discriminator loss: 0.504034, acc: 0.742188] [adversarial loss: 1.461397, acc: 0.156250] 31326: [discriminator loss: 0.503443, acc: 0.679688] [adversarial loss: 1.336301, acc: 0.265625] 31327: [discriminator loss: 0.565794, acc: 0.703125] [adversarial loss: 1.264702, acc: 0.218750] 31328: [discriminator loss: 0.481632, acc: 0.773438] [adversarial loss: 1.236993, acc: 0.265625] 31329: [discriminator loss: 0.529949, acc: 0.726562] [adversarial loss: 1.413286, acc: 0.203125] 31330: [discriminator loss: 0.484827, acc: 0.757812] [adversarial loss: 1.109850, acc: 0.234375] 31331: [discriminator loss: 0.553735, acc: 0.718750] [adversarial loss: 1.516870, acc: 0.078125] 31332: [discriminator loss: 0.550410, acc: 0.726562] [adversarial loss: 1.037241, acc: 0.390625] 31333: [discriminator loss: 0.596123, acc: 0.640625] [adversarial loss: 1.482212, acc: 0.109375] 31334: [discriminator loss: 0.515823, acc: 0.726562] [adversarial loss: 0.985208, acc: 0.390625] 31335: [discriminator loss: 0.513718, acc: 0.742188] [adversarial loss: 1.520139, acc: 0.140625] 31336: [discriminator loss: 0.461121, acc: 0.820312] [adversarial loss: 0.969993, acc: 0.359375] 31337: [discriminator loss: 0.490405, acc: 0.734375] [adversarial loss: 1.781810, acc: 0.093750] 31338: [discriminator loss: 0.604584, acc: 0.625000] [adversarial loss: 0.885051, acc: 0.468750] 31339: [discriminator loss: 0.527403, acc: 0.750000] [adversarial loss: 1.604863, acc: 0.109375] 31340: [discriminator loss: 0.542408, acc: 0.703125] [adversarial loss: 0.865087, acc: 0.546875] 31341: [discriminator loss: 0.635134, acc: 0.625000] [adversarial loss: 1.747932, acc: 0.156250] 31342: [discriminator loss: 0.519092, acc: 0.718750] [adversarial loss: 1.102468, acc: 0.343750] 31343: [discriminator loss: 0.525098, acc: 0.726562] [adversarial loss: 1.424442, acc: 0.109375] 31344: [discriminator loss: 0.513799, acc: 0.703125] [adversarial loss: 1.233043, acc: 0.218750] 31345: [discriminator loss: 0.564520, acc: 0.710938] [adversarial loss: 1.388185, acc: 0.203125] 31346: [discriminator loss: 0.514390, acc: 0.742188] [adversarial loss: 1.095284, acc: 0.281250] 31347: [discriminator loss: 0.506977, acc: 0.765625] [adversarial loss: 1.404424, acc: 0.265625] 31348: [discriminator loss: 0.437928, acc: 0.781250] [adversarial loss: 1.380735, acc: 0.296875] 31349: [discriminator loss: 0.527425, acc: 0.718750] [adversarial loss: 1.185620, acc: 0.203125] 31350: [discriminator loss: 0.476452, acc: 0.773438] [adversarial loss: 1.389807, acc: 0.187500] 31351: [discriminator loss: 0.592550, acc: 0.648438] [adversarial loss: 1.091814, acc: 0.375000] 31352: [discriminator loss: 0.565429, acc: 0.734375] [adversarial loss: 1.415480, acc: 0.265625] 31353: [discriminator loss: 0.595517, acc: 0.703125] [adversarial loss: 1.453115, acc: 0.203125] 31354: [discriminator loss: 0.520607, acc: 0.742188] [adversarial loss: 1.279311, acc: 0.281250] 31355: [discriminator loss: 0.507000, acc: 0.703125] [adversarial loss: 1.159861, acc: 0.296875] 31356: [discriminator loss: 0.534366, acc: 0.718750] [adversarial loss: 1.353896, acc: 0.203125] 31357: [discriminator loss: 0.488233, acc: 0.750000] [adversarial loss: 1.472206, acc: 0.171875] 31358: [discriminator loss: 0.563059, acc: 0.710938] [adversarial loss: 1.673223, acc: 0.125000] 31359: [discriminator loss: 0.571892, acc: 0.710938] [adversarial loss: 1.096478, acc: 0.437500] 31360: [discriminator loss: 0.561378, acc: 0.726562] [adversarial loss: 1.602621, acc: 0.125000] 31361: [discriminator loss: 0.611077, acc: 0.671875] [adversarial loss: 0.798802, acc: 0.468750] 31362: [discriminator loss: 0.538598, acc: 0.687500] [adversarial loss: 1.708560, acc: 0.078125] 31363: [discriminator loss: 0.559835, acc: 0.710938] [adversarial loss: 0.921667, acc: 0.468750] 31364: [discriminator loss: 0.589369, acc: 0.703125] [adversarial loss: 1.627658, acc: 0.062500] 31365: [discriminator loss: 0.557389, acc: 0.750000] [adversarial loss: 1.101451, acc: 0.281250] 31366: [discriminator loss: 0.573890, acc: 0.718750] [adversarial loss: 1.172687, acc: 0.265625] 31367: [discriminator loss: 0.576870, acc: 0.687500] [adversarial loss: 1.430970, acc: 0.156250] 31368: [discriminator loss: 0.542716, acc: 0.687500] [adversarial loss: 1.378421, acc: 0.250000] 31369: [discriminator loss: 0.504754, acc: 0.750000] [adversarial loss: 1.458771, acc: 0.125000] 31370: [discriminator loss: 0.564223, acc: 0.710938] [adversarial loss: 1.528381, acc: 0.218750] 31371: [discriminator loss: 0.495637, acc: 0.750000] [adversarial loss: 1.083648, acc: 0.296875] 31372: [discriminator loss: 0.476171, acc: 0.773438] [adversarial loss: 1.678652, acc: 0.093750] 31373: [discriminator loss: 0.507324, acc: 0.734375] [adversarial loss: 1.240988, acc: 0.312500] 31374: [discriminator loss: 0.581994, acc: 0.718750] [adversarial loss: 1.570976, acc: 0.156250] 31375: [discriminator loss: 0.535537, acc: 0.687500] [adversarial loss: 0.980659, acc: 0.359375] 31376: [discriminator loss: 0.534608, acc: 0.765625] [adversarial loss: 1.373299, acc: 0.234375] 31377: [discriminator loss: 0.470692, acc: 0.781250] [adversarial loss: 1.190243, acc: 0.312500] 31378: [discriminator loss: 0.469873, acc: 0.804688] [adversarial loss: 1.300971, acc: 0.312500] 31379: [discriminator loss: 0.508390, acc: 0.781250] [adversarial loss: 1.610795, acc: 0.156250] 31380: [discriminator loss: 0.477074, acc: 0.765625] [adversarial loss: 0.970496, acc: 0.375000] 31381: [discriminator loss: 0.456605, acc: 0.781250] [adversarial loss: 1.269889, acc: 0.234375] 31382: [discriminator loss: 0.517405, acc: 0.718750] [adversarial loss: 0.781270, acc: 0.562500] 31383: [discriminator loss: 0.487035, acc: 0.804688] [adversarial loss: 1.458827, acc: 0.156250] 31384: [discriminator loss: 0.541862, acc: 0.687500] [adversarial loss: 0.910980, acc: 0.468750] 31385: [discriminator loss: 0.509581, acc: 0.726562] [adversarial loss: 1.307650, acc: 0.156250] 31386: [discriminator loss: 0.585131, acc: 0.640625] [adversarial loss: 0.928241, acc: 0.406250] 31387: [discriminator loss: 0.531550, acc: 0.703125] [adversarial loss: 1.127960, acc: 0.390625] 31388: [discriminator loss: 0.550922, acc: 0.703125] [adversarial loss: 1.263348, acc: 0.312500] 31389: [discriminator loss: 0.462416, acc: 0.773438] [adversarial loss: 1.151756, acc: 0.328125] 31390: [discriminator loss: 0.468362, acc: 0.765625] [adversarial loss: 1.273663, acc: 0.156250] 31391: [discriminator loss: 0.507445, acc: 0.726562] [adversarial loss: 1.171231, acc: 0.281250] 31392: [discriminator loss: 0.510805, acc: 0.796875] [adversarial loss: 1.222300, acc: 0.328125] 31393: [discriminator loss: 0.546906, acc: 0.718750] [adversarial loss: 0.843160, acc: 0.437500] 31394: [discriminator loss: 0.518089, acc: 0.750000] [adversarial loss: 1.739352, acc: 0.093750] 31395: [discriminator loss: 0.594531, acc: 0.617188] [adversarial loss: 0.748713, acc: 0.593750] 31396: [discriminator loss: 0.570823, acc: 0.671875] [adversarial loss: 1.590510, acc: 0.078125] 31397: [discriminator loss: 0.547608, acc: 0.710938] [adversarial loss: 1.114787, acc: 0.406250] 31398: [discriminator loss: 0.553394, acc: 0.718750] [adversarial loss: 1.508771, acc: 0.140625] 31399: [discriminator loss: 0.501512, acc: 0.726562] [adversarial loss: 1.096575, acc: 0.343750] 31400: [discriminator loss: 0.541042, acc: 0.718750] [adversarial loss: 1.475399, acc: 0.156250] 31401: [discriminator loss: 0.530368, acc: 0.734375] [adversarial loss: 1.332508, acc: 0.312500] 31402: [discriminator loss: 0.504384, acc: 0.742188] [adversarial loss: 1.335624, acc: 0.203125] 31403: [discriminator loss: 0.525957, acc: 0.742188] [adversarial loss: 1.224211, acc: 0.265625] 31404: [discriminator loss: 0.462211, acc: 0.781250] [adversarial loss: 1.474733, acc: 0.171875] 31405: [discriminator loss: 0.503776, acc: 0.718750] [adversarial loss: 1.018406, acc: 0.343750] 31406: [discriminator loss: 0.485013, acc: 0.757812] [adversarial loss: 1.433533, acc: 0.171875] 31407: [discriminator loss: 0.559320, acc: 0.695312] [adversarial loss: 1.104461, acc: 0.359375] 31408: [discriminator loss: 0.534041, acc: 0.757812] [adversarial loss: 1.420213, acc: 0.203125] 31409: [discriminator loss: 0.511808, acc: 0.750000] [adversarial loss: 1.129448, acc: 0.250000] 31410: [discriminator loss: 0.554297, acc: 0.703125] [adversarial loss: 1.327266, acc: 0.250000] 31411: [discriminator loss: 0.508327, acc: 0.734375] [adversarial loss: 0.823344, acc: 0.421875] 31412: [discriminator loss: 0.537692, acc: 0.750000] [adversarial loss: 1.294573, acc: 0.265625] 31413: [discriminator loss: 0.477077, acc: 0.765625] [adversarial loss: 0.965025, acc: 0.375000] 31414: [discriminator loss: 0.533729, acc: 0.726562] [adversarial loss: 1.591833, acc: 0.140625] 31415: [discriminator loss: 0.543707, acc: 0.703125] [adversarial loss: 0.982585, acc: 0.390625] 31416: [discriminator loss: 0.469720, acc: 0.796875] [adversarial loss: 1.507962, acc: 0.125000] 31417: [discriminator loss: 0.536115, acc: 0.710938] [adversarial loss: 1.166192, acc: 0.312500] 31418: [discriminator loss: 0.534313, acc: 0.726562] [adversarial loss: 1.531399, acc: 0.140625] 31419: [discriminator loss: 0.517611, acc: 0.718750] [adversarial loss: 1.407055, acc: 0.203125] 31420: [discriminator loss: 0.499262, acc: 0.726562] [adversarial loss: 1.189031, acc: 0.343750] 31421: [discriminator loss: 0.535462, acc: 0.773438] [adversarial loss: 1.256430, acc: 0.265625] 31422: [discriminator loss: 0.526122, acc: 0.726562] [adversarial loss: 1.619224, acc: 0.140625] 31423: [discriminator loss: 0.553971, acc: 0.687500] [adversarial loss: 1.267060, acc: 0.187500] 31424: [discriminator loss: 0.442402, acc: 0.843750] [adversarial loss: 1.358875, acc: 0.218750] 31425: [discriminator loss: 0.462571, acc: 0.796875] [adversarial loss: 1.546182, acc: 0.203125] 31426: [discriminator loss: 0.531148, acc: 0.726562] [adversarial loss: 0.903824, acc: 0.437500] 31427: [discriminator loss: 0.504184, acc: 0.773438] [adversarial loss: 1.857048, acc: 0.078125] 31428: [discriminator loss: 0.508744, acc: 0.757812] [adversarial loss: 0.761863, acc: 0.609375] 31429: [discriminator loss: 0.595325, acc: 0.710938] [adversarial loss: 1.388045, acc: 0.203125] 31430: [discriminator loss: 0.460225, acc: 0.804688] [adversarial loss: 1.120412, acc: 0.453125] 31431: [discriminator loss: 0.500982, acc: 0.757812] [adversarial loss: 1.182002, acc: 0.359375] 31432: [discriminator loss: 0.475503, acc: 0.781250] [adversarial loss: 1.194139, acc: 0.328125] 31433: [discriminator loss: 0.565380, acc: 0.679688] [adversarial loss: 1.089519, acc: 0.390625] 31434: [discriminator loss: 0.507368, acc: 0.773438] [adversarial loss: 1.334220, acc: 0.171875] 31435: [discriminator loss: 0.459807, acc: 0.789062] [adversarial loss: 1.344834, acc: 0.234375] 31436: [discriminator loss: 0.491753, acc: 0.789062] [adversarial loss: 1.206589, acc: 0.234375] 31437: [discriminator loss: 0.463369, acc: 0.765625] [adversarial loss: 1.107224, acc: 0.343750] 31438: [discriminator loss: 0.494971, acc: 0.765625] [adversarial loss: 1.591029, acc: 0.203125] 31439: [discriminator loss: 0.542383, acc: 0.703125] [adversarial loss: 0.914992, acc: 0.406250] 31440: [discriminator loss: 0.565094, acc: 0.703125] [adversarial loss: 1.870585, acc: 0.078125] 31441: [discriminator loss: 0.527626, acc: 0.750000] [adversarial loss: 0.940752, acc: 0.453125] 31442: [discriminator loss: 0.635545, acc: 0.664062] [adversarial loss: 1.612026, acc: 0.125000] 31443: [discriminator loss: 0.551316, acc: 0.734375] [adversarial loss: 0.966844, acc: 0.484375] 31444: [discriminator loss: 0.486923, acc: 0.820312] [adversarial loss: 1.439633, acc: 0.218750] 31445: [discriminator loss: 0.534631, acc: 0.757812] [adversarial loss: 1.501555, acc: 0.234375] 31446: [discriminator loss: 0.552367, acc: 0.671875] [adversarial loss: 1.083644, acc: 0.343750] 31447: [discriminator loss: 0.486721, acc: 0.765625] [adversarial loss: 1.322790, acc: 0.312500] 31448: [discriminator loss: 0.492740, acc: 0.734375] [adversarial loss: 1.342120, acc: 0.234375] 31449: [discriminator loss: 0.543515, acc: 0.695312] [adversarial loss: 1.223709, acc: 0.234375] 31450: [discriminator loss: 0.559711, acc: 0.710938] [adversarial loss: 1.422827, acc: 0.250000] 31451: [discriminator loss: 0.568444, acc: 0.695312] [adversarial loss: 1.121254, acc: 0.390625] 31452: [discriminator loss: 0.504237, acc: 0.765625] [adversarial loss: 1.494354, acc: 0.156250] 31453: [discriminator loss: 0.579047, acc: 0.710938] [adversarial loss: 1.058364, acc: 0.375000] 31454: [discriminator loss: 0.511793, acc: 0.734375] [adversarial loss: 1.715140, acc: 0.156250] 31455: [discriminator loss: 0.560910, acc: 0.703125] [adversarial loss: 1.172156, acc: 0.328125] 31456: [discriminator loss: 0.556671, acc: 0.695312] [adversarial loss: 1.272823, acc: 0.203125] 31457: [discriminator loss: 0.496115, acc: 0.757812] [adversarial loss: 0.901065, acc: 0.484375] 31458: [discriminator loss: 0.571994, acc: 0.687500] [adversarial loss: 1.426014, acc: 0.109375] 31459: [discriminator loss: 0.482053, acc: 0.757812] [adversarial loss: 0.903526, acc: 0.359375] 31460: [discriminator loss: 0.497720, acc: 0.781250] [adversarial loss: 1.480570, acc: 0.125000] 31461: [discriminator loss: 0.554906, acc: 0.710938] [adversarial loss: 1.261824, acc: 0.250000] 31462: [discriminator loss: 0.490478, acc: 0.750000] [adversarial loss: 1.084625, acc: 0.406250] 31463: [discriminator loss: 0.533804, acc: 0.742188] [adversarial loss: 1.412895, acc: 0.171875] 31464: [discriminator loss: 0.552117, acc: 0.726562] [adversarial loss: 1.146270, acc: 0.281250] 31465: [discriminator loss: 0.531778, acc: 0.695312] [adversarial loss: 1.414741, acc: 0.171875] 31466: [discriminator loss: 0.467530, acc: 0.757812] [adversarial loss: 1.131494, acc: 0.281250] 31467: [discriminator loss: 0.511219, acc: 0.710938] [adversarial loss: 1.214133, acc: 0.296875] 31468: [discriminator loss: 0.520657, acc: 0.726562] [adversarial loss: 1.090796, acc: 0.265625] 31469: [discriminator loss: 0.554802, acc: 0.757812] [adversarial loss: 1.928652, acc: 0.031250] 31470: [discriminator loss: 0.532086, acc: 0.710938] [adversarial loss: 1.007913, acc: 0.375000] 31471: [discriminator loss: 0.510572, acc: 0.671875] [adversarial loss: 1.613648, acc: 0.140625] 31472: [discriminator loss: 0.485638, acc: 0.773438] [adversarial loss: 0.644279, acc: 0.656250] 31473: [discriminator loss: 0.644135, acc: 0.656250] [adversarial loss: 1.716836, acc: 0.062500] 31474: [discriminator loss: 0.565493, acc: 0.734375] [adversarial loss: 0.913650, acc: 0.468750] 31475: [discriminator loss: 0.578449, acc: 0.671875] [adversarial loss: 1.797295, acc: 0.078125] 31476: [discriminator loss: 0.457192, acc: 0.796875] [adversarial loss: 1.346176, acc: 0.171875] 31477: [discriminator loss: 0.592848, acc: 0.671875] [adversarial loss: 1.301659, acc: 0.234375] 31478: [discriminator loss: 0.518065, acc: 0.718750] [adversarial loss: 1.230862, acc: 0.406250] 31479: [discriminator loss: 0.578455, acc: 0.679688] [adversarial loss: 1.560411, acc: 0.156250] 31480: [discriminator loss: 0.506594, acc: 0.757812] [adversarial loss: 1.448118, acc: 0.093750] 31481: [discriminator loss: 0.502712, acc: 0.734375] [adversarial loss: 1.149144, acc: 0.250000] 31482: [discriminator loss: 0.583787, acc: 0.710938] [adversarial loss: 1.803429, acc: 0.093750] 31483: [discriminator loss: 0.521075, acc: 0.773438] [adversarial loss: 1.028440, acc: 0.328125] 31484: [discriminator loss: 0.532386, acc: 0.726562] [adversarial loss: 1.349512, acc: 0.156250] 31485: [discriminator loss: 0.488293, acc: 0.718750] [adversarial loss: 1.167480, acc: 0.296875] 31486: [discriminator loss: 0.554436, acc: 0.718750] [adversarial loss: 1.210529, acc: 0.187500] 31487: [discriminator loss: 0.518109, acc: 0.710938] [adversarial loss: 1.155733, acc: 0.234375] 31488: [discriminator loss: 0.512035, acc: 0.765625] [adversarial loss: 1.218223, acc: 0.234375] 31489: [discriminator loss: 0.520720, acc: 0.750000] [adversarial loss: 1.435457, acc: 0.171875] 31490: [discriminator loss: 0.511667, acc: 0.734375] [adversarial loss: 1.289168, acc: 0.140625] 31491: [discriminator loss: 0.509589, acc: 0.742188] [adversarial loss: 1.103033, acc: 0.312500] 31492: [discriminator loss: 0.546860, acc: 0.757812] [adversarial loss: 1.443555, acc: 0.140625] 31493: [discriminator loss: 0.564400, acc: 0.695312] [adversarial loss: 0.749947, acc: 0.515625] 31494: [discriminator loss: 0.603442, acc: 0.695312] [adversarial loss: 1.688962, acc: 0.062500] 31495: [discriminator loss: 0.603364, acc: 0.695312] [adversarial loss: 1.057801, acc: 0.343750] 31496: [discriminator loss: 0.592387, acc: 0.718750] [adversarial loss: 1.459150, acc: 0.187500] 31497: [discriminator loss: 0.471725, acc: 0.750000] [adversarial loss: 1.242130, acc: 0.296875] 31498: [discriminator loss: 0.494888, acc: 0.750000] [adversarial loss: 1.237391, acc: 0.203125] 31499: [discriminator loss: 0.499572, acc: 0.742188] [adversarial loss: 1.072312, acc: 0.375000] 31500: [discriminator loss: 0.470715, acc: 0.828125] [adversarial loss: 1.110509, acc: 0.250000] 31501: [discriminator loss: 0.499847, acc: 0.703125] [adversarial loss: 1.222871, acc: 0.265625] 31502: [discriminator loss: 0.517829, acc: 0.765625] [adversarial loss: 1.139338, acc: 0.265625] 31503: [discriminator loss: 0.440814, acc: 0.804688] [adversarial loss: 1.648974, acc: 0.109375] 31504: [discriminator loss: 0.463922, acc: 0.742188] [adversarial loss: 1.144805, acc: 0.250000] 31505: [discriminator loss: 0.513468, acc: 0.757812] [adversarial loss: 1.586420, acc: 0.109375] 31506: [discriminator loss: 0.483086, acc: 0.757812] [adversarial loss: 1.161132, acc: 0.312500] 31507: [discriminator loss: 0.517512, acc: 0.734375] [adversarial loss: 1.206626, acc: 0.203125] 31508: [discriminator loss: 0.504012, acc: 0.765625] [adversarial loss: 1.276901, acc: 0.234375] 31509: [discriminator loss: 0.489354, acc: 0.796875] [adversarial loss: 1.601961, acc: 0.125000] 31510: [discriminator loss: 0.555204, acc: 0.718750] [adversarial loss: 1.171294, acc: 0.328125] 31511: [discriminator loss: 0.525259, acc: 0.710938] [adversarial loss: 1.497446, acc: 0.156250] 31512: [discriminator loss: 0.484825, acc: 0.750000] [adversarial loss: 1.016729, acc: 0.390625] 31513: [discriminator loss: 0.534015, acc: 0.750000] [adversarial loss: 1.611466, acc: 0.109375] 31514: [discriminator loss: 0.565798, acc: 0.679688] [adversarial loss: 0.951399, acc: 0.484375] 31515: [discriminator loss: 0.626771, acc: 0.734375] [adversarial loss: 2.194410, acc: 0.015625] 31516: [discriminator loss: 0.630593, acc: 0.632812] [adversarial loss: 0.996989, acc: 0.343750] 31517: [discriminator loss: 0.615716, acc: 0.726562] [adversarial loss: 1.472919, acc: 0.187500] 31518: [discriminator loss: 0.542175, acc: 0.718750] [adversarial loss: 1.037138, acc: 0.359375] 31519: [discriminator loss: 0.560116, acc: 0.695312] [adversarial loss: 1.432430, acc: 0.140625] 31520: [discriminator loss: 0.479811, acc: 0.781250] [adversarial loss: 1.347360, acc: 0.250000] 31521: [discriminator loss: 0.516422, acc: 0.718750] [adversarial loss: 1.501257, acc: 0.062500] 31522: [discriminator loss: 0.495434, acc: 0.750000] [adversarial loss: 1.039149, acc: 0.312500] 31523: [discriminator loss: 0.639057, acc: 0.656250] [adversarial loss: 1.568001, acc: 0.171875] 31524: [discriminator loss: 0.509491, acc: 0.734375] [adversarial loss: 1.251867, acc: 0.281250] 31525: [discriminator loss: 0.501157, acc: 0.726562] [adversarial loss: 1.190136, acc: 0.312500] 31526: [discriminator loss: 0.570819, acc: 0.726562] [adversarial loss: 1.324217, acc: 0.203125] 31527: [discriminator loss: 0.479938, acc: 0.804688] [adversarial loss: 1.150317, acc: 0.296875] 31528: [discriminator loss: 0.555377, acc: 0.695312] [adversarial loss: 1.412842, acc: 0.218750] 31529: [discriminator loss: 0.527896, acc: 0.679688] [adversarial loss: 1.284984, acc: 0.250000] 31530: [discriminator loss: 0.542205, acc: 0.742188] [adversarial loss: 1.306059, acc: 0.281250] 31531: [discriminator loss: 0.449817, acc: 0.796875] [adversarial loss: 1.238719, acc: 0.171875] 31532: [discriminator loss: 0.494203, acc: 0.750000] [adversarial loss: 1.558973, acc: 0.156250] 31533: [discriminator loss: 0.515190, acc: 0.742188] [adversarial loss: 0.885840, acc: 0.578125] 31534: [discriminator loss: 0.469906, acc: 0.765625] [adversarial loss: 2.042763, acc: 0.078125] 31535: [discriminator loss: 0.631863, acc: 0.671875] [adversarial loss: 0.943529, acc: 0.375000] 31536: [discriminator loss: 0.566254, acc: 0.695312] [adversarial loss: 1.705848, acc: 0.109375] 31537: [discriminator loss: 0.506679, acc: 0.718750] [adversarial loss: 1.054174, acc: 0.359375] 31538: [discriminator loss: 0.541146, acc: 0.750000] [adversarial loss: 1.471924, acc: 0.187500] 31539: [discriminator loss: 0.454333, acc: 0.757812] [adversarial loss: 1.045827, acc: 0.359375] 31540: [discriminator loss: 0.626693, acc: 0.640625] [adversarial loss: 1.487489, acc: 0.125000] 31541: [discriminator loss: 0.569157, acc: 0.671875] [adversarial loss: 0.697233, acc: 0.625000] 31542: [discriminator loss: 0.586178, acc: 0.695312] [adversarial loss: 2.002412, acc: 0.062500] 31543: [discriminator loss: 0.559425, acc: 0.710938] [adversarial loss: 1.013021, acc: 0.375000] 31544: [discriminator loss: 0.508020, acc: 0.710938] [adversarial loss: 1.426549, acc: 0.234375] 31545: [discriminator loss: 0.469222, acc: 0.773438] [adversarial loss: 1.132261, acc: 0.328125] 31546: [discriminator loss: 0.587725, acc: 0.703125] [adversarial loss: 1.412044, acc: 0.156250] 31547: [discriminator loss: 0.551336, acc: 0.757812] [adversarial loss: 1.025029, acc: 0.390625] 31548: [discriminator loss: 0.495478, acc: 0.789062] [adversarial loss: 1.320911, acc: 0.156250] 31549: [discriminator loss: 0.513794, acc: 0.734375] [adversarial loss: 1.560874, acc: 0.171875] 31550: [discriminator loss: 0.581891, acc: 0.687500] [adversarial loss: 1.183494, acc: 0.296875] 31551: [discriminator loss: 0.535742, acc: 0.734375] [adversarial loss: 1.615843, acc: 0.078125] 31552: [discriminator loss: 0.497449, acc: 0.734375] [adversarial loss: 0.992701, acc: 0.343750] 31553: [discriminator loss: 0.487173, acc: 0.773438] [adversarial loss: 1.540153, acc: 0.140625] 31554: [discriminator loss: 0.501280, acc: 0.789062] [adversarial loss: 1.003502, acc: 0.375000] 31555: [discriminator loss: 0.515395, acc: 0.679688] [adversarial loss: 1.596457, acc: 0.109375] 31556: [discriminator loss: 0.544375, acc: 0.750000] [adversarial loss: 0.914533, acc: 0.500000] 31557: [discriminator loss: 0.467699, acc: 0.750000] [adversarial loss: 1.467114, acc: 0.218750] 31558: [discriminator loss: 0.444176, acc: 0.789062] [adversarial loss: 1.027759, acc: 0.343750] 31559: [discriminator loss: 0.584274, acc: 0.718750] [adversarial loss: 1.414616, acc: 0.187500] 31560: [discriminator loss: 0.519224, acc: 0.726562] [adversarial loss: 1.041666, acc: 0.390625] 31561: [discriminator loss: 0.565468, acc: 0.726562] [adversarial loss: 1.939391, acc: 0.062500] 31562: [discriminator loss: 0.704330, acc: 0.640625] [adversarial loss: 0.883482, acc: 0.500000] 31563: [discriminator loss: 0.659000, acc: 0.625000] [adversarial loss: 1.728330, acc: 0.093750] 31564: [discriminator loss: 0.613291, acc: 0.664062] [adversarial loss: 1.026626, acc: 0.375000] 31565: [discriminator loss: 0.525873, acc: 0.742188] [adversarial loss: 1.476483, acc: 0.109375] 31566: [discriminator loss: 0.517427, acc: 0.710938] [adversarial loss: 1.068981, acc: 0.218750] 31567: [discriminator loss: 0.591407, acc: 0.679688] [adversarial loss: 1.255587, acc: 0.265625] 31568: [discriminator loss: 0.471019, acc: 0.804688] [adversarial loss: 1.278031, acc: 0.250000] 31569: [discriminator loss: 0.508838, acc: 0.734375] [adversarial loss: 1.250690, acc: 0.234375] 31570: [discriminator loss: 0.534066, acc: 0.664062] [adversarial loss: 1.337860, acc: 0.234375] 31571: [discriminator loss: 0.517348, acc: 0.710938] [adversarial loss: 0.901399, acc: 0.453125] 31572: [discriminator loss: 0.540372, acc: 0.726562] [adversarial loss: 1.552927, acc: 0.171875] 31573: [discriminator loss: 0.497387, acc: 0.750000] [adversarial loss: 1.192555, acc: 0.265625] 31574: [discriminator loss: 0.548955, acc: 0.726562] [adversarial loss: 1.273046, acc: 0.250000] 31575: [discriminator loss: 0.474673, acc: 0.781250] [adversarial loss: 1.113267, acc: 0.359375] 31576: [discriminator loss: 0.493601, acc: 0.742188] [adversarial loss: 1.002994, acc: 0.390625] 31577: [discriminator loss: 0.572130, acc: 0.710938] [adversarial loss: 1.603674, acc: 0.171875] 31578: [discriminator loss: 0.492660, acc: 0.750000] [adversarial loss: 0.891714, acc: 0.421875] 31579: [discriminator loss: 0.482860, acc: 0.757812] [adversarial loss: 1.337291, acc: 0.187500] 31580: [discriminator loss: 0.490841, acc: 0.750000] [adversarial loss: 0.926846, acc: 0.468750] 31581: [discriminator loss: 0.493866, acc: 0.710938] [adversarial loss: 1.263194, acc: 0.203125] 31582: [discriminator loss: 0.475179, acc: 0.750000] [adversarial loss: 0.948672, acc: 0.437500] 31583: [discriminator loss: 0.543500, acc: 0.718750] [adversarial loss: 1.483810, acc: 0.109375] 31584: [discriminator loss: 0.558537, acc: 0.718750] [adversarial loss: 0.676163, acc: 0.531250] 31585: [discriminator loss: 0.497686, acc: 0.718750] [adversarial loss: 1.759030, acc: 0.093750] 31586: [discriminator loss: 0.555803, acc: 0.703125] [adversarial loss: 0.658237, acc: 0.609375] 31587: [discriminator loss: 0.494932, acc: 0.765625] [adversarial loss: 1.180456, acc: 0.281250] 31588: [discriminator loss: 0.467902, acc: 0.773438] [adversarial loss: 1.237746, acc: 0.359375] 31589: [discriminator loss: 0.473749, acc: 0.750000] [adversarial loss: 1.396150, acc: 0.218750] 31590: [discriminator loss: 0.433828, acc: 0.804688] [adversarial loss: 1.241846, acc: 0.296875] 31591: [discriminator loss: 0.504718, acc: 0.734375] [adversarial loss: 1.352338, acc: 0.250000] 31592: [discriminator loss: 0.597496, acc: 0.687500] [adversarial loss: 1.596716, acc: 0.218750] 31593: [discriminator loss: 0.561892, acc: 0.718750] [adversarial loss: 0.964565, acc: 0.437500] 31594: [discriminator loss: 0.560387, acc: 0.679688] [adversarial loss: 1.357672, acc: 0.234375] 31595: [discriminator loss: 0.497237, acc: 0.765625] [adversarial loss: 0.849656, acc: 0.437500] 31596: [discriminator loss: 0.488742, acc: 0.703125] [adversarial loss: 1.482999, acc: 0.109375] 31597: [discriminator loss: 0.546327, acc: 0.734375] [adversarial loss: 0.889786, acc: 0.515625] 31598: [discriminator loss: 0.538795, acc: 0.718750] [adversarial loss: 1.660057, acc: 0.078125] 31599: [discriminator loss: 0.457357, acc: 0.757812] [adversarial loss: 1.127147, acc: 0.296875] 31600: [discriminator loss: 0.565994, acc: 0.734375] [adversarial loss: 1.316567, acc: 0.218750] 31601: [discriminator loss: 0.516901, acc: 0.703125] [adversarial loss: 0.965967, acc: 0.375000] 31602: [discriminator loss: 0.440720, acc: 0.796875] [adversarial loss: 1.391876, acc: 0.187500] 31603: [discriminator loss: 0.517776, acc: 0.726562] [adversarial loss: 0.922854, acc: 0.421875] 31604: [discriminator loss: 0.535661, acc: 0.664062] [adversarial loss: 1.476066, acc: 0.234375] 31605: [discriminator loss: 0.550684, acc: 0.687500] [adversarial loss: 1.017832, acc: 0.343750] 31606: [discriminator loss: 0.532993, acc: 0.765625] [adversarial loss: 1.929319, acc: 0.031250] 31607: [discriminator loss: 0.606850, acc: 0.687500] [adversarial loss: 0.891768, acc: 0.437500] 31608: [discriminator loss: 0.606291, acc: 0.671875] [adversarial loss: 1.905140, acc: 0.109375] 31609: [discriminator loss: 0.561943, acc: 0.734375] [adversarial loss: 1.273814, acc: 0.281250] 31610: [discriminator loss: 0.490091, acc: 0.750000] [adversarial loss: 1.373104, acc: 0.187500] 31611: [discriminator loss: 0.528893, acc: 0.726562] [adversarial loss: 1.371622, acc: 0.218750] 31612: [discriminator loss: 0.538428, acc: 0.742188] [adversarial loss: 1.244230, acc: 0.203125] 31613: [discriminator loss: 0.473346, acc: 0.757812] [adversarial loss: 1.186860, acc: 0.281250] 31614: [discriminator loss: 0.603733, acc: 0.742188] [adversarial loss: 1.497073, acc: 0.093750] 31615: [discriminator loss: 0.573463, acc: 0.687500] [adversarial loss: 0.970878, acc: 0.359375] 31616: [discriminator loss: 0.468580, acc: 0.750000] [adversarial loss: 1.549915, acc: 0.109375] 31617: [discriminator loss: 0.578282, acc: 0.671875] [adversarial loss: 1.088750, acc: 0.343750] 31618: [discriminator loss: 0.449739, acc: 0.765625] [adversarial loss: 1.979610, acc: 0.062500] 31619: [discriminator loss: 0.556785, acc: 0.695312] [adversarial loss: 0.756067, acc: 0.531250] 31620: [discriminator loss: 0.538582, acc: 0.726562] [adversarial loss: 1.328832, acc: 0.250000] 31621: [discriminator loss: 0.551911, acc: 0.695312] [adversarial loss: 1.130896, acc: 0.281250] 31622: [discriminator loss: 0.507014, acc: 0.757812] [adversarial loss: 1.176386, acc: 0.328125] 31623: [discriminator loss: 0.628453, acc: 0.695312] [adversarial loss: 1.478884, acc: 0.171875] 31624: [discriminator loss: 0.556498, acc: 0.742188] [adversarial loss: 1.131127, acc: 0.296875] 31625: [discriminator loss: 0.539486, acc: 0.726562] [adversarial loss: 1.484933, acc: 0.187500] 31626: [discriminator loss: 0.546591, acc: 0.695312] [adversarial loss: 1.168835, acc: 0.296875] 31627: [discriminator loss: 0.467424, acc: 0.812500] [adversarial loss: 1.317292, acc: 0.250000] 31628: [discriminator loss: 0.513592, acc: 0.703125] [adversarial loss: 1.056490, acc: 0.390625] 31629: [discriminator loss: 0.479137, acc: 0.789062] [adversarial loss: 1.453333, acc: 0.140625] 31630: [discriminator loss: 0.521966, acc: 0.726562] [adversarial loss: 0.938037, acc: 0.421875] 31631: [discriminator loss: 0.549588, acc: 0.757812] [adversarial loss: 1.895123, acc: 0.109375] 31632: [discriminator loss: 0.592095, acc: 0.687500] [adversarial loss: 0.803512, acc: 0.531250] 31633: [discriminator loss: 0.507445, acc: 0.726562] [adversarial loss: 1.392004, acc: 0.234375] 31634: [discriminator loss: 0.510078, acc: 0.773438] [adversarial loss: 1.272917, acc: 0.187500] 31635: [discriminator loss: 0.468323, acc: 0.765625] [adversarial loss: 1.246090, acc: 0.218750] 31636: [discriminator loss: 0.551076, acc: 0.710938] [adversarial loss: 1.405504, acc: 0.156250] 31637: [discriminator loss: 0.474118, acc: 0.750000] [adversarial loss: 1.219249, acc: 0.187500] 31638: [discriminator loss: 0.440265, acc: 0.812500] [adversarial loss: 1.352283, acc: 0.156250] 31639: [discriminator loss: 0.452967, acc: 0.804688] [adversarial loss: 1.042145, acc: 0.390625] 31640: [discriminator loss: 0.475227, acc: 0.804688] [adversarial loss: 1.124179, acc: 0.234375] 31641: [discriminator loss: 0.534210, acc: 0.734375] [adversarial loss: 1.224642, acc: 0.265625] 31642: [discriminator loss: 0.487578, acc: 0.773438] [adversarial loss: 0.988942, acc: 0.406250] 31643: [discriminator loss: 0.573738, acc: 0.679688] [adversarial loss: 1.814982, acc: 0.046875] 31644: [discriminator loss: 0.578604, acc: 0.679688] [adversarial loss: 0.890744, acc: 0.468750] 31645: [discriminator loss: 0.587580, acc: 0.710938] [adversarial loss: 1.404670, acc: 0.218750] 31646: [discriminator loss: 0.514999, acc: 0.757812] [adversarial loss: 1.104932, acc: 0.281250] 31647: [discriminator loss: 0.516443, acc: 0.718750] [adversarial loss: 1.452255, acc: 0.093750] 31648: [discriminator loss: 0.470331, acc: 0.750000] [adversarial loss: 1.005498, acc: 0.359375] 31649: [discriminator loss: 0.542531, acc: 0.750000] [adversarial loss: 1.638129, acc: 0.125000] 31650: [discriminator loss: 0.499494, acc: 0.750000] [adversarial loss: 1.288798, acc: 0.296875] 31651: [discriminator loss: 0.503695, acc: 0.757812] [adversarial loss: 1.737810, acc: 0.109375] 31652: [discriminator loss: 0.572726, acc: 0.726562] [adversarial loss: 1.062670, acc: 0.406250] 31653: [discriminator loss: 0.515409, acc: 0.750000] [adversarial loss: 1.939032, acc: 0.046875] 31654: [discriminator loss: 0.497889, acc: 0.734375] [adversarial loss: 1.136222, acc: 0.343750] 31655: [discriminator loss: 0.528750, acc: 0.718750] [adversarial loss: 1.289939, acc: 0.250000] 31656: [discriminator loss: 0.505022, acc: 0.742188] [adversarial loss: 1.422137, acc: 0.203125] 31657: [discriminator loss: 0.518861, acc: 0.726562] [adversarial loss: 1.028296, acc: 0.421875] 31658: [discriminator loss: 0.501208, acc: 0.765625] [adversarial loss: 1.459223, acc: 0.140625] 31659: [discriminator loss: 0.565959, acc: 0.757812] [adversarial loss: 1.406260, acc: 0.203125] 31660: [discriminator loss: 0.567235, acc: 0.671875] [adversarial loss: 1.275124, acc: 0.265625] 31661: [discriminator loss: 0.507766, acc: 0.710938] [adversarial loss: 1.066534, acc: 0.312500] 31662: [discriminator loss: 0.527510, acc: 0.726562] [adversarial loss: 1.619999, acc: 0.156250] 31663: [discriminator loss: 0.562687, acc: 0.695312] [adversarial loss: 0.983168, acc: 0.406250] 31664: [discriminator loss: 0.589465, acc: 0.726562] [adversarial loss: 2.019678, acc: 0.046875] 31665: [discriminator loss: 0.590899, acc: 0.703125] [adversarial loss: 0.844088, acc: 0.421875] 31666: [discriminator loss: 0.537500, acc: 0.757812] [adversarial loss: 1.540084, acc: 0.250000] 31667: [discriminator loss: 0.487737, acc: 0.742188] [adversarial loss: 1.361254, acc: 0.234375] 31668: [discriminator loss: 0.548502, acc: 0.718750] [adversarial loss: 1.252009, acc: 0.234375] 31669: [discriminator loss: 0.542562, acc: 0.734375] [adversarial loss: 1.301683, acc: 0.234375] 31670: [discriminator loss: 0.458792, acc: 0.796875] [adversarial loss: 1.113722, acc: 0.265625] 31671: [discriminator loss: 0.534098, acc: 0.695312] [adversarial loss: 1.360160, acc: 0.187500] 31672: [discriminator loss: 0.491249, acc: 0.734375] [adversarial loss: 1.002013, acc: 0.296875] 31673: [discriminator loss: 0.516342, acc: 0.703125] [adversarial loss: 1.313794, acc: 0.281250] 31674: [discriminator loss: 0.483448, acc: 0.804688] [adversarial loss: 1.077136, acc: 0.359375] 31675: [discriminator loss: 0.532329, acc: 0.742188] [adversarial loss: 1.424342, acc: 0.171875] 31676: [discriminator loss: 0.513940, acc: 0.742188] [adversarial loss: 1.221478, acc: 0.171875] 31677: [discriminator loss: 0.523380, acc: 0.750000] [adversarial loss: 1.198719, acc: 0.265625] 31678: [discriminator loss: 0.523857, acc: 0.695312] [adversarial loss: 0.952318, acc: 0.468750] 31679: [discriminator loss: 0.485249, acc: 0.789062] [adversarial loss: 1.346088, acc: 0.265625] 31680: [discriminator loss: 0.484927, acc: 0.781250] [adversarial loss: 1.037464, acc: 0.312500] 31681: [discriminator loss: 0.439069, acc: 0.781250] [adversarial loss: 1.726312, acc: 0.046875] 31682: [discriminator loss: 0.542872, acc: 0.671875] [adversarial loss: 0.999177, acc: 0.359375] 31683: [discriminator loss: 0.579340, acc: 0.664062] [adversarial loss: 1.616111, acc: 0.078125] 31684: [discriminator loss: 0.535119, acc: 0.726562] [adversarial loss: 1.281588, acc: 0.296875] 31685: [discriminator loss: 0.472585, acc: 0.765625] [adversarial loss: 1.590999, acc: 0.140625] 31686: [discriminator loss: 0.477786, acc: 0.789062] [adversarial loss: 1.281523, acc: 0.250000] 31687: [discriminator loss: 0.563239, acc: 0.710938] [adversarial loss: 1.393880, acc: 0.156250] 31688: [discriminator loss: 0.551153, acc: 0.718750] [adversarial loss: 1.039873, acc: 0.421875] 31689: [discriminator loss: 0.560932, acc: 0.703125] [adversarial loss: 1.701198, acc: 0.125000] 31690: [discriminator loss: 0.530520, acc: 0.757812] [adversarial loss: 1.028891, acc: 0.359375] 31691: [discriminator loss: 0.451349, acc: 0.789062] [adversarial loss: 1.599582, acc: 0.218750] 31692: [discriminator loss: 0.564908, acc: 0.679688] [adversarial loss: 1.004468, acc: 0.343750] 31693: [discriminator loss: 0.490332, acc: 0.796875] [adversarial loss: 1.238406, acc: 0.265625] 31694: [discriminator loss: 0.637348, acc: 0.656250] [adversarial loss: 1.120079, acc: 0.265625] 31695: [discriminator loss: 0.508361, acc: 0.765625] [adversarial loss: 1.039616, acc: 0.343750] 31696: [discriminator loss: 0.494568, acc: 0.757812] [adversarial loss: 1.404032, acc: 0.125000] 31697: [discriminator loss: 0.418045, acc: 0.828125] [adversarial loss: 1.136954, acc: 0.265625] 31698: [discriminator loss: 0.508413, acc: 0.742188] [adversarial loss: 1.160427, acc: 0.296875] 31699: [discriminator loss: 0.570466, acc: 0.695312] [adversarial loss: 1.739665, acc: 0.046875] 31700: [discriminator loss: 0.474286, acc: 0.773438] [adversarial loss: 0.983608, acc: 0.375000] 31701: [discriminator loss: 0.567444, acc: 0.695312] [adversarial loss: 1.660806, acc: 0.140625] 31702: [discriminator loss: 0.516531, acc: 0.757812] [adversarial loss: 1.060765, acc: 0.343750] 31703: [discriminator loss: 0.557179, acc: 0.710938] [adversarial loss: 1.566153, acc: 0.125000] 31704: [discriminator loss: 0.581099, acc: 0.664062] [adversarial loss: 0.991536, acc: 0.375000] 31705: [discriminator loss: 0.518614, acc: 0.734375] [adversarial loss: 1.365403, acc: 0.250000] 31706: [discriminator loss: 0.480027, acc: 0.789062] [adversarial loss: 1.038772, acc: 0.312500] 31707: [discriminator loss: 0.412301, acc: 0.804688] [adversarial loss: 1.338541, acc: 0.296875] 31708: [discriminator loss: 0.553617, acc: 0.664062] [adversarial loss: 1.502618, acc: 0.187500] 31709: [discriminator loss: 0.486679, acc: 0.804688] [adversarial loss: 0.951108, acc: 0.437500] 31710: [discriminator loss: 0.609547, acc: 0.671875] [adversarial loss: 1.602242, acc: 0.093750] 31711: [discriminator loss: 0.561374, acc: 0.703125] [adversarial loss: 0.906586, acc: 0.515625] 31712: [discriminator loss: 0.530645, acc: 0.726562] [adversarial loss: 1.325197, acc: 0.171875] 31713: [discriminator loss: 0.574633, acc: 0.687500] [adversarial loss: 1.079038, acc: 0.359375] 31714: [discriminator loss: 0.536500, acc: 0.750000] [adversarial loss: 1.375111, acc: 0.218750] 31715: [discriminator loss: 0.549837, acc: 0.726562] [adversarial loss: 0.835617, acc: 0.468750] 31716: [discriminator loss: 0.502014, acc: 0.710938] [adversarial loss: 1.507043, acc: 0.234375] 31717: [discriminator loss: 0.567532, acc: 0.695312] [adversarial loss: 0.984828, acc: 0.375000] 31718: [discriminator loss: 0.493916, acc: 0.781250] [adversarial loss: 1.368958, acc: 0.125000] 31719: [discriminator loss: 0.533624, acc: 0.703125] [adversarial loss: 0.990238, acc: 0.453125] 31720: [discriminator loss: 0.481040, acc: 0.757812] [adversarial loss: 1.387860, acc: 0.281250] 31721: [discriminator loss: 0.579728, acc: 0.703125] [adversarial loss: 0.892488, acc: 0.484375] 31722: [discriminator loss: 0.569112, acc: 0.671875] [adversarial loss: 1.326492, acc: 0.187500] 31723: [discriminator loss: 0.498986, acc: 0.773438] [adversarial loss: 1.087369, acc: 0.312500] 31724: [discriminator loss: 0.446681, acc: 0.773438] [adversarial loss: 1.823379, acc: 0.062500] 31725: [discriminator loss: 0.612533, acc: 0.687500] [adversarial loss: 0.999164, acc: 0.312500] 31726: [discriminator loss: 0.538447, acc: 0.718750] [adversarial loss: 1.306554, acc: 0.250000] 31727: [discriminator loss: 0.529298, acc: 0.703125] [adversarial loss: 0.725004, acc: 0.578125] 31728: [discriminator loss: 0.644534, acc: 0.648438] [adversarial loss: 1.989814, acc: 0.078125] 31729: [discriminator loss: 0.525318, acc: 0.710938] [adversarial loss: 1.036247, acc: 0.343750] 31730: [discriminator loss: 0.562900, acc: 0.710938] [adversarial loss: 1.485918, acc: 0.140625] 31731: [discriminator loss: 0.513711, acc: 0.750000] [adversarial loss: 0.956345, acc: 0.437500] 31732: [discriminator loss: 0.500342, acc: 0.781250] [adversarial loss: 1.625456, acc: 0.125000] 31733: [discriminator loss: 0.548429, acc: 0.726562] [adversarial loss: 1.244091, acc: 0.406250] 31734: [discriminator loss: 0.541917, acc: 0.695312] [adversarial loss: 1.511209, acc: 0.171875] 31735: [discriminator loss: 0.518173, acc: 0.734375] [adversarial loss: 1.060750, acc: 0.390625] 31736: [discriminator loss: 0.496255, acc: 0.750000] [adversarial loss: 1.448490, acc: 0.203125] 31737: [discriminator loss: 0.518120, acc: 0.750000] [adversarial loss: 1.317056, acc: 0.218750] 31738: [discriminator loss: 0.529337, acc: 0.695312] [adversarial loss: 1.387722, acc: 0.156250] 31739: [discriminator loss: 0.505441, acc: 0.750000] [adversarial loss: 1.356798, acc: 0.281250] 31740: [discriminator loss: 0.516966, acc: 0.734375] [adversarial loss: 0.993464, acc: 0.343750] 31741: [discriminator loss: 0.569187, acc: 0.671875] [adversarial loss: 1.742670, acc: 0.078125] 31742: [discriminator loss: 0.644981, acc: 0.695312] [adversarial loss: 0.726021, acc: 0.625000] 31743: [discriminator loss: 0.630283, acc: 0.742188] [adversarial loss: 1.609024, acc: 0.093750] 31744: [discriminator loss: 0.517886, acc: 0.703125] [adversarial loss: 1.143111, acc: 0.250000] 31745: [discriminator loss: 0.486357, acc: 0.781250] [adversarial loss: 1.471808, acc: 0.125000] 31746: [discriminator loss: 0.503330, acc: 0.726562] [adversarial loss: 1.117804, acc: 0.359375] 31747: [discriminator loss: 0.548186, acc: 0.679688] [adversarial loss: 1.426614, acc: 0.125000] 31748: [discriminator loss: 0.513674, acc: 0.765625] [adversarial loss: 1.164440, acc: 0.281250] 31749: [discriminator loss: 0.495155, acc: 0.750000] [adversarial loss: 1.231856, acc: 0.312500] 31750: [discriminator loss: 0.506670, acc: 0.781250] [adversarial loss: 1.277036, acc: 0.140625] 31751: [discriminator loss: 0.559973, acc: 0.710938] [adversarial loss: 1.120922, acc: 0.250000] 31752: [discriminator loss: 0.547997, acc: 0.710938] [adversarial loss: 1.100334, acc: 0.312500] 31753: [discriminator loss: 0.535113, acc: 0.695312] [adversarial loss: 1.674640, acc: 0.140625] 31754: [discriminator loss: 0.538589, acc: 0.718750] [adversarial loss: 0.949961, acc: 0.437500] 31755: [discriminator loss: 0.488455, acc: 0.757812] [adversarial loss: 1.387270, acc: 0.203125] 31756: [discriminator loss: 0.549148, acc: 0.703125] [adversarial loss: 0.926641, acc: 0.500000] 31757: [discriminator loss: 0.571673, acc: 0.703125] [adversarial loss: 1.484936, acc: 0.078125] 31758: [discriminator loss: 0.570757, acc: 0.695312] [adversarial loss: 1.289780, acc: 0.250000] 31759: [discriminator loss: 0.526444, acc: 0.726562] [adversarial loss: 1.428777, acc: 0.125000] 31760: [discriminator loss: 0.507134, acc: 0.742188] [adversarial loss: 1.490303, acc: 0.109375] 31761: [discriminator loss: 0.577373, acc: 0.664062] [adversarial loss: 1.126537, acc: 0.296875] 31762: [discriminator loss: 0.477758, acc: 0.742188] [adversarial loss: 1.509332, acc: 0.171875] 31763: [discriminator loss: 0.421901, acc: 0.812500] [adversarial loss: 1.120027, acc: 0.218750] 31764: [discriminator loss: 0.529180, acc: 0.765625] [adversarial loss: 1.567430, acc: 0.156250] 31765: [discriminator loss: 0.560678, acc: 0.726562] [adversarial loss: 0.751939, acc: 0.484375] 31766: [discriminator loss: 0.644561, acc: 0.625000] [adversarial loss: 1.622761, acc: 0.125000] 31767: [discriminator loss: 0.615024, acc: 0.648438] [adversarial loss: 0.952523, acc: 0.375000] 31768: [discriminator loss: 0.538310, acc: 0.718750] [adversarial loss: 1.595997, acc: 0.093750] 31769: [discriminator loss: 0.488724, acc: 0.742188] [adversarial loss: 1.220533, acc: 0.343750] 31770: [discriminator loss: 0.533614, acc: 0.734375] [adversarial loss: 1.341335, acc: 0.250000] 31771: [discriminator loss: 0.498923, acc: 0.742188] [adversarial loss: 1.126192, acc: 0.296875] 31772: [discriminator loss: 0.445109, acc: 0.820312] [adversarial loss: 1.401502, acc: 0.125000] 31773: [discriminator loss: 0.533049, acc: 0.718750] [adversarial loss: 1.083685, acc: 0.328125] 31774: [discriminator loss: 0.560613, acc: 0.750000] [adversarial loss: 1.424157, acc: 0.218750] 31775: [discriminator loss: 0.493307, acc: 0.750000] [adversarial loss: 1.164745, acc: 0.296875] 31776: [discriminator loss: 0.438949, acc: 0.796875] [adversarial loss: 1.427388, acc: 0.187500] 31777: [discriminator loss: 0.541494, acc: 0.734375] [adversarial loss: 1.023939, acc: 0.421875] 31778: [discriminator loss: 0.593872, acc: 0.687500] [adversarial loss: 1.364722, acc: 0.171875] 31779: [discriminator loss: 0.519133, acc: 0.734375] [adversarial loss: 0.949203, acc: 0.421875] 31780: [discriminator loss: 0.533591, acc: 0.718750] [adversarial loss: 1.255618, acc: 0.265625] 31781: [discriminator loss: 0.590715, acc: 0.695312] [adversarial loss: 1.233284, acc: 0.218750] 31782: [discriminator loss: 0.515127, acc: 0.750000] [adversarial loss: 1.337030, acc: 0.234375] 31783: [discriminator loss: 0.530443, acc: 0.718750] [adversarial loss: 1.001849, acc: 0.359375] 31784: [discriminator loss: 0.540985, acc: 0.789062] [adversarial loss: 1.558928, acc: 0.093750] 31785: [discriminator loss: 0.579283, acc: 0.671875] [adversarial loss: 1.081924, acc: 0.328125] 31786: [discriminator loss: 0.572791, acc: 0.726562] [adversarial loss: 1.597043, acc: 0.218750] 31787: [discriminator loss: 0.607665, acc: 0.695312] [adversarial loss: 1.142590, acc: 0.375000] 31788: [discriminator loss: 0.470233, acc: 0.742188] [adversarial loss: 1.537513, acc: 0.093750] 31789: [discriminator loss: 0.546336, acc: 0.710938] [adversarial loss: 0.771197, acc: 0.578125] 31790: [discriminator loss: 0.667910, acc: 0.601562] [adversarial loss: 1.863590, acc: 0.062500] 31791: [discriminator loss: 0.542544, acc: 0.695312] [adversarial loss: 0.856636, acc: 0.468750] 31792: [discriminator loss: 0.618456, acc: 0.664062] [adversarial loss: 1.474975, acc: 0.093750] 31793: [discriminator loss: 0.614502, acc: 0.726562] [adversarial loss: 1.195059, acc: 0.265625] 31794: [discriminator loss: 0.573336, acc: 0.703125] [adversarial loss: 1.275753, acc: 0.218750] 31795: [discriminator loss: 0.462817, acc: 0.804688] [adversarial loss: 1.105604, acc: 0.328125] 31796: [discriminator loss: 0.519474, acc: 0.703125] [adversarial loss: 1.213276, acc: 0.171875] 31797: [discriminator loss: 0.519793, acc: 0.742188] [adversarial loss: 1.120955, acc: 0.453125] 31798: [discriminator loss: 0.550094, acc: 0.718750] [adversarial loss: 1.242490, acc: 0.218750] 31799: [discriminator loss: 0.518575, acc: 0.718750] [adversarial loss: 1.235192, acc: 0.296875] 31800: [discriminator loss: 0.481297, acc: 0.781250] [adversarial loss: 1.130238, acc: 0.343750] 31801: [discriminator loss: 0.561969, acc: 0.757812] [adversarial loss: 1.285909, acc: 0.265625] 31802: [discriminator loss: 0.456470, acc: 0.773438] [adversarial loss: 1.385701, acc: 0.203125] 31803: [discriminator loss: 0.466545, acc: 0.781250] [adversarial loss: 1.184944, acc: 0.281250] 31804: [discriminator loss: 0.545362, acc: 0.726562] [adversarial loss: 1.469739, acc: 0.156250] 31805: [discriminator loss: 0.539867, acc: 0.726562] [adversarial loss: 0.799790, acc: 0.515625] 31806: [discriminator loss: 0.561350, acc: 0.757812] [adversarial loss: 1.572700, acc: 0.140625] 31807: [discriminator loss: 0.524663, acc: 0.734375] [adversarial loss: 0.888224, acc: 0.421875] 31808: [discriminator loss: 0.605517, acc: 0.703125] [adversarial loss: 1.866110, acc: 0.125000] 31809: [discriminator loss: 0.524484, acc: 0.750000] [adversarial loss: 0.966305, acc: 0.453125] 31810: [discriminator loss: 0.520048, acc: 0.726562] [adversarial loss: 1.218109, acc: 0.187500] 31811: [discriminator loss: 0.494223, acc: 0.734375] [adversarial loss: 1.080907, acc: 0.421875] 31812: [discriminator loss: 0.517704, acc: 0.757812] [adversarial loss: 1.448470, acc: 0.140625] 31813: [discriminator loss: 0.502681, acc: 0.750000] [adversarial loss: 0.920724, acc: 0.453125] 31814: [discriminator loss: 0.546117, acc: 0.726562] [adversarial loss: 1.744406, acc: 0.125000] 31815: [discriminator loss: 0.496997, acc: 0.757812] [adversarial loss: 0.995820, acc: 0.328125] 31816: [discriminator loss: 0.536925, acc: 0.742188] [adversarial loss: 1.677115, acc: 0.156250] 31817: [discriminator loss: 0.495308, acc: 0.750000] [adversarial loss: 1.164664, acc: 0.328125] 31818: [discriminator loss: 0.599542, acc: 0.664062] [adversarial loss: 1.515010, acc: 0.203125] 31819: [discriminator loss: 0.525583, acc: 0.750000] [adversarial loss: 1.577199, acc: 0.140625] 31820: [discriminator loss: 0.531408, acc: 0.726562] [adversarial loss: 0.984813, acc: 0.484375] 31821: [discriminator loss: 0.555438, acc: 0.679688] [adversarial loss: 1.580995, acc: 0.093750] 31822: [discriminator loss: 0.556089, acc: 0.679688] [adversarial loss: 0.869293, acc: 0.562500] 31823: [discriminator loss: 0.599224, acc: 0.703125] [adversarial loss: 1.439238, acc: 0.156250] 31824: [discriminator loss: 0.563332, acc: 0.656250] [adversarial loss: 1.449970, acc: 0.171875] 31825: [discriminator loss: 0.482871, acc: 0.796875] [adversarial loss: 1.186003, acc: 0.296875] 31826: [discriminator loss: 0.584134, acc: 0.742188] [adversarial loss: 1.206461, acc: 0.265625] 31827: [discriminator loss: 0.508964, acc: 0.742188] [adversarial loss: 1.078341, acc: 0.359375] 31828: [discriminator loss: 0.456371, acc: 0.843750] [adversarial loss: 1.228630, acc: 0.312500] 31829: [discriminator loss: 0.518121, acc: 0.726562] [adversarial loss: 1.275843, acc: 0.328125] 31830: [discriminator loss: 0.504995, acc: 0.703125] [adversarial loss: 1.292795, acc: 0.203125] 31831: [discriminator loss: 0.468852, acc: 0.773438] [adversarial loss: 0.919776, acc: 0.437500] 31832: [discriminator loss: 0.453178, acc: 0.828125] [adversarial loss: 1.279057, acc: 0.312500] 31833: [discriminator loss: 0.431165, acc: 0.789062] [adversarial loss: 0.937887, acc: 0.375000] 31834: [discriminator loss: 0.460096, acc: 0.750000] [adversarial loss: 0.944407, acc: 0.421875] 31835: [discriminator loss: 0.489594, acc: 0.757812] [adversarial loss: 1.513982, acc: 0.093750] 31836: [discriminator loss: 0.497518, acc: 0.718750] [adversarial loss: 0.839475, acc: 0.515625] 31837: [discriminator loss: 0.638862, acc: 0.640625] [adversarial loss: 1.714508, acc: 0.078125] 31838: [discriminator loss: 0.551136, acc: 0.718750] [adversarial loss: 0.852629, acc: 0.421875] 31839: [discriminator loss: 0.547065, acc: 0.718750] [adversarial loss: 1.817999, acc: 0.093750] 31840: [discriminator loss: 0.609244, acc: 0.648438] [adversarial loss: 1.149401, acc: 0.296875] 31841: [discriminator loss: 0.517511, acc: 0.726562] [adversarial loss: 1.469387, acc: 0.171875] 31842: [discriminator loss: 0.565265, acc: 0.734375] [adversarial loss: 1.081431, acc: 0.375000] 31843: [discriminator loss: 0.554015, acc: 0.710938] [adversarial loss: 1.044307, acc: 0.343750] 31844: [discriminator loss: 0.508991, acc: 0.742188] [adversarial loss: 1.511873, acc: 0.093750] 31845: [discriminator loss: 0.560943, acc: 0.710938] [adversarial loss: 0.830972, acc: 0.468750] 31846: [discriminator loss: 0.520247, acc: 0.718750] [adversarial loss: 1.749525, acc: 0.031250] 31847: [discriminator loss: 0.505526, acc: 0.734375] [adversarial loss: 0.845232, acc: 0.531250] 31848: [discriminator loss: 0.563329, acc: 0.710938] [adversarial loss: 1.401847, acc: 0.187500] 31849: [discriminator loss: 0.478573, acc: 0.781250] [adversarial loss: 1.290166, acc: 0.234375] 31850: [discriminator loss: 0.465416, acc: 0.757812] [adversarial loss: 1.226641, acc: 0.218750] 31851: [discriminator loss: 0.455145, acc: 0.804688] [adversarial loss: 1.121174, acc: 0.281250] 31852: [discriminator loss: 0.549166, acc: 0.687500] [adversarial loss: 1.575421, acc: 0.171875] 31853: [discriminator loss: 0.429009, acc: 0.789062] [adversarial loss: 0.935874, acc: 0.390625] 31854: [discriminator loss: 0.565786, acc: 0.687500] [adversarial loss: 1.927575, acc: 0.093750] 31855: [discriminator loss: 0.540022, acc: 0.726562] [adversarial loss: 0.978780, acc: 0.437500] 31856: [discriminator loss: 0.603625, acc: 0.625000] [adversarial loss: 1.311992, acc: 0.250000] 31857: [discriminator loss: 0.507028, acc: 0.734375] [adversarial loss: 1.239337, acc: 0.281250] 31858: [discriminator loss: 0.465955, acc: 0.796875] [adversarial loss: 1.579215, acc: 0.156250] 31859: [discriminator loss: 0.564022, acc: 0.710938] [adversarial loss: 0.886689, acc: 0.437500] 31860: [discriminator loss: 0.541963, acc: 0.710938] [adversarial loss: 1.356369, acc: 0.234375] 31861: [discriminator loss: 0.539230, acc: 0.687500] [adversarial loss: 0.985400, acc: 0.406250] 31862: [discriminator loss: 0.573305, acc: 0.703125] [adversarial loss: 1.356597, acc: 0.171875] 31863: [discriminator loss: 0.593462, acc: 0.679688] [adversarial loss: 1.252732, acc: 0.296875] 31864: [discriminator loss: 0.512745, acc: 0.757812] [adversarial loss: 1.143164, acc: 0.250000] 31865: [discriminator loss: 0.581281, acc: 0.726562] [adversarial loss: 1.168458, acc: 0.281250] 31866: [discriminator loss: 0.510234, acc: 0.734375] [adversarial loss: 1.430621, acc: 0.156250] 31867: [discriminator loss: 0.521126, acc: 0.765625] [adversarial loss: 0.847673, acc: 0.500000] 31868: [discriminator loss: 0.475557, acc: 0.718750] [adversarial loss: 1.862610, acc: 0.109375] 31869: [discriminator loss: 0.511749, acc: 0.742188] [adversarial loss: 1.178076, acc: 0.265625] 31870: [discriminator loss: 0.479305, acc: 0.718750] [adversarial loss: 1.412312, acc: 0.265625] 31871: [discriminator loss: 0.515679, acc: 0.679688] [adversarial loss: 0.963048, acc: 0.515625] 31872: [discriminator loss: 0.525028, acc: 0.773438] [adversarial loss: 1.483042, acc: 0.109375] 31873: [discriminator loss: 0.570258, acc: 0.726562] [adversarial loss: 0.865463, acc: 0.406250] 31874: [discriminator loss: 0.517149, acc: 0.726562] [adversarial loss: 1.702443, acc: 0.031250] 31875: [discriminator loss: 0.473916, acc: 0.773438] [adversarial loss: 0.984966, acc: 0.375000] 31876: [discriminator loss: 0.588987, acc: 0.687500] [adversarial loss: 1.553929, acc: 0.125000] 31877: [discriminator loss: 0.489019, acc: 0.804688] [adversarial loss: 1.166697, acc: 0.265625] 31878: [discriminator loss: 0.551670, acc: 0.671875] [adversarial loss: 1.311563, acc: 0.234375] 31879: [discriminator loss: 0.506898, acc: 0.781250] [adversarial loss: 1.076931, acc: 0.406250] 31880: [discriminator loss: 0.538857, acc: 0.734375] [adversarial loss: 1.725573, acc: 0.078125] 31881: [discriminator loss: 0.529714, acc: 0.679688] [adversarial loss: 1.099394, acc: 0.296875] 31882: [discriminator loss: 0.476256, acc: 0.796875] [adversarial loss: 1.552368, acc: 0.203125] 31883: [discriminator loss: 0.537893, acc: 0.750000] [adversarial loss: 1.005840, acc: 0.343750] 31884: [discriminator loss: 0.567878, acc: 0.710938] [adversarial loss: 1.948364, acc: 0.062500] 31885: [discriminator loss: 0.538445, acc: 0.718750] [adversarial loss: 0.878520, acc: 0.468750] 31886: [discriminator loss: 0.577317, acc: 0.664062] [adversarial loss: 1.462563, acc: 0.265625] 31887: [discriminator loss: 0.590006, acc: 0.656250] [adversarial loss: 0.974688, acc: 0.359375] 31888: [discriminator loss: 0.583088, acc: 0.703125] [adversarial loss: 1.602672, acc: 0.093750] 31889: [discriminator loss: 0.512289, acc: 0.742188] [adversarial loss: 0.994874, acc: 0.515625] 31890: [discriminator loss: 0.456613, acc: 0.789062] [adversarial loss: 1.549002, acc: 0.171875] 31891: [discriminator loss: 0.564204, acc: 0.664062] [adversarial loss: 1.011266, acc: 0.343750] 31892: [discriminator loss: 0.542158, acc: 0.765625] [adversarial loss: 1.400613, acc: 0.250000] 31893: [discriminator loss: 0.505969, acc: 0.726562] [adversarial loss: 0.938198, acc: 0.421875] 31894: [discriminator loss: 0.530387, acc: 0.750000] [adversarial loss: 1.440671, acc: 0.218750] 31895: [discriminator loss: 0.514386, acc: 0.695312] [adversarial loss: 1.176571, acc: 0.281250] 31896: [discriminator loss: 0.551643, acc: 0.726562] [adversarial loss: 1.169941, acc: 0.312500] 31897: [discriminator loss: 0.494394, acc: 0.789062] [adversarial loss: 1.664835, acc: 0.078125] 31898: [discriminator loss: 0.479057, acc: 0.742188] [adversarial loss: 0.874626, acc: 0.453125] 31899: [discriminator loss: 0.529482, acc: 0.734375] [adversarial loss: 1.746525, acc: 0.078125] 31900: [discriminator loss: 0.597335, acc: 0.632812] [adversarial loss: 0.825762, acc: 0.546875] 31901: [discriminator loss: 0.595358, acc: 0.679688] [adversarial loss: 1.642856, acc: 0.140625] 31902: [discriminator loss: 0.490657, acc: 0.734375] [adversarial loss: 0.962986, acc: 0.421875] 31903: [discriminator loss: 0.435087, acc: 0.804688] [adversarial loss: 1.343172, acc: 0.250000] 31904: [discriminator loss: 0.469120, acc: 0.742188] [adversarial loss: 1.220302, acc: 0.234375] 31905: [discriminator loss: 0.536964, acc: 0.703125] [adversarial loss: 1.355574, acc: 0.187500] 31906: [discriminator loss: 0.543962, acc: 0.750000] [adversarial loss: 1.015186, acc: 0.437500] 31907: [discriminator loss: 0.557600, acc: 0.679688] [adversarial loss: 1.545045, acc: 0.171875] 31908: [discriminator loss: 0.576782, acc: 0.679688] [adversarial loss: 0.732821, acc: 0.484375] 31909: [discriminator loss: 0.481599, acc: 0.781250] [adversarial loss: 1.276530, acc: 0.312500] 31910: [discriminator loss: 0.572134, acc: 0.742188] [adversarial loss: 1.187828, acc: 0.281250] 31911: [discriminator loss: 0.529131, acc: 0.750000] [adversarial loss: 1.459539, acc: 0.203125] 31912: [discriminator loss: 0.491892, acc: 0.781250] [adversarial loss: 1.170480, acc: 0.328125] 31913: [discriminator loss: 0.576076, acc: 0.695312] [adversarial loss: 1.626231, acc: 0.093750] 31914: [discriminator loss: 0.488033, acc: 0.726562] [adversarial loss: 1.389365, acc: 0.078125] 31915: [discriminator loss: 0.449465, acc: 0.781250] [adversarial loss: 0.996547, acc: 0.359375] 31916: [discriminator loss: 0.536908, acc: 0.750000] [adversarial loss: 1.881459, acc: 0.062500] 31917: [discriminator loss: 0.621751, acc: 0.656250] [adversarial loss: 0.889766, acc: 0.500000] 31918: [discriminator loss: 0.585676, acc: 0.632812] [adversarial loss: 1.414564, acc: 0.203125] 31919: [discriminator loss: 0.518153, acc: 0.718750] [adversarial loss: 1.306226, acc: 0.203125] 31920: [discriminator loss: 0.550502, acc: 0.679688] [adversarial loss: 1.458477, acc: 0.093750] 31921: [discriminator loss: 0.540804, acc: 0.695312] [adversarial loss: 0.967638, acc: 0.406250] 31922: [discriminator loss: 0.537801, acc: 0.734375] [adversarial loss: 1.191341, acc: 0.312500] 31923: [discriminator loss: 0.497902, acc: 0.742188] [adversarial loss: 1.147957, acc: 0.343750] 31924: [discriminator loss: 0.514796, acc: 0.765625] [adversarial loss: 1.298590, acc: 0.250000] 31925: [discriminator loss: 0.503872, acc: 0.757812] [adversarial loss: 1.074251, acc: 0.281250] 31926: [discriminator loss: 0.511190, acc: 0.781250] [adversarial loss: 1.118878, acc: 0.265625] 31927: [discriminator loss: 0.538614, acc: 0.726562] [adversarial loss: 1.130981, acc: 0.390625] 31928: [discriminator loss: 0.588463, acc: 0.671875] [adversarial loss: 1.159895, acc: 0.265625] 31929: [discriminator loss: 0.539479, acc: 0.687500] [adversarial loss: 1.296392, acc: 0.234375] 31930: [discriminator loss: 0.453773, acc: 0.757812] [adversarial loss: 1.126284, acc: 0.312500] 31931: [discriminator loss: 0.476543, acc: 0.804688] [adversarial loss: 1.209716, acc: 0.250000] 31932: [discriminator loss: 0.473342, acc: 0.765625] [adversarial loss: 1.485293, acc: 0.218750] 31933: [discriminator loss: 0.605411, acc: 0.710938] [adversarial loss: 1.056397, acc: 0.375000] 31934: [discriminator loss: 0.561703, acc: 0.656250] [adversarial loss: 1.250356, acc: 0.187500] 31935: [discriminator loss: 0.538389, acc: 0.695312] [adversarial loss: 1.104939, acc: 0.328125] 31936: [discriminator loss: 0.539117, acc: 0.703125] [adversarial loss: 0.870130, acc: 0.421875] 31937: [discriminator loss: 0.490418, acc: 0.765625] [adversarial loss: 1.454156, acc: 0.125000] 31938: [discriminator loss: 0.500454, acc: 0.726562] [adversarial loss: 0.968215, acc: 0.421875] 31939: [discriminator loss: 0.511562, acc: 0.757812] [adversarial loss: 1.593584, acc: 0.218750] 31940: [discriminator loss: 0.572892, acc: 0.648438] [adversarial loss: 0.781150, acc: 0.546875] 31941: [discriminator loss: 0.553702, acc: 0.687500] [adversarial loss: 1.797194, acc: 0.093750] 31942: [discriminator loss: 0.554210, acc: 0.695312] [adversarial loss: 1.060018, acc: 0.484375] 31943: [discriminator loss: 0.562220, acc: 0.718750] [adversarial loss: 1.419947, acc: 0.218750] 31944: [discriminator loss: 0.479166, acc: 0.765625] [adversarial loss: 0.989588, acc: 0.359375] 31945: [discriminator loss: 0.458905, acc: 0.765625] [adversarial loss: 1.261882, acc: 0.312500] 31946: [discriminator loss: 0.542167, acc: 0.687500] [adversarial loss: 1.024544, acc: 0.437500] 31947: [discriminator loss: 0.506180, acc: 0.789062] [adversarial loss: 1.122095, acc: 0.390625] 31948: [discriminator loss: 0.466347, acc: 0.781250] [adversarial loss: 1.231493, acc: 0.296875] 31949: [discriminator loss: 0.489402, acc: 0.726562] [adversarial loss: 1.347272, acc: 0.218750] 31950: [discriminator loss: 0.521627, acc: 0.781250] [adversarial loss: 1.235150, acc: 0.218750] 31951: [discriminator loss: 0.556912, acc: 0.687500] [adversarial loss: 1.490963, acc: 0.234375] 31952: [discriminator loss: 0.493864, acc: 0.757812] [adversarial loss: 1.117859, acc: 0.343750] 31953: [discriminator loss: 0.512678, acc: 0.773438] [adversarial loss: 1.535336, acc: 0.203125] 31954: [discriminator loss: 0.487503, acc: 0.742188] [adversarial loss: 1.234088, acc: 0.218750] 31955: [discriminator loss: 0.492524, acc: 0.773438] [adversarial loss: 1.276096, acc: 0.187500] 31956: [discriminator loss: 0.553741, acc: 0.679688] [adversarial loss: 2.068887, acc: 0.015625] 31957: [discriminator loss: 0.602939, acc: 0.679688] [adversarial loss: 0.942820, acc: 0.406250] 31958: [discriminator loss: 0.488847, acc: 0.710938] [adversarial loss: 1.654772, acc: 0.125000] 31959: [discriminator loss: 0.547252, acc: 0.703125] [adversarial loss: 1.017228, acc: 0.328125] 31960: [discriminator loss: 0.460934, acc: 0.796875] [adversarial loss: 1.162789, acc: 0.312500] 31961: [discriminator loss: 0.496388, acc: 0.789062] [adversarial loss: 1.010714, acc: 0.406250] 31962: [discriminator loss: 0.488710, acc: 0.757812] [adversarial loss: 1.109068, acc: 0.359375] 31963: [discriminator loss: 0.466448, acc: 0.734375] [adversarial loss: 1.067403, acc: 0.312500] 31964: [discriminator loss: 0.410108, acc: 0.820312] [adversarial loss: 0.785251, acc: 0.546875] 31965: [discriminator loss: 0.484833, acc: 0.796875] [adversarial loss: 1.347994, acc: 0.218750] 31966: [discriminator loss: 0.452906, acc: 0.804688] [adversarial loss: 1.219596, acc: 0.328125] 31967: [discriminator loss: 0.483413, acc: 0.742188] [adversarial loss: 1.144869, acc: 0.375000] 31968: [discriminator loss: 0.499315, acc: 0.757812] [adversarial loss: 1.297395, acc: 0.281250] 31969: [discriminator loss: 0.535185, acc: 0.726562] [adversarial loss: 1.273178, acc: 0.250000] 31970: [discriminator loss: 0.465952, acc: 0.828125] [adversarial loss: 1.310750, acc: 0.265625] 31971: [discriminator loss: 0.504464, acc: 0.734375] [adversarial loss: 1.463836, acc: 0.265625] 31972: [discriminator loss: 0.548750, acc: 0.718750] [adversarial loss: 0.895440, acc: 0.484375] 31973: [discriminator loss: 0.516917, acc: 0.765625] [adversarial loss: 1.829852, acc: 0.171875] 31974: [discriminator loss: 0.557592, acc: 0.679688] [adversarial loss: 0.818524, acc: 0.437500] 31975: [discriminator loss: 0.585045, acc: 0.710938] [adversarial loss: 2.033824, acc: 0.046875] 31976: [discriminator loss: 0.679999, acc: 0.632812] [adversarial loss: 0.793092, acc: 0.546875] 31977: [discriminator loss: 0.569938, acc: 0.687500] [adversarial loss: 1.832266, acc: 0.062500] 31978: [discriminator loss: 0.596045, acc: 0.656250] [adversarial loss: 0.756140, acc: 0.500000] 31979: [discriminator loss: 0.525439, acc: 0.726562] [adversarial loss: 1.411516, acc: 0.187500] 31980: [discriminator loss: 0.543116, acc: 0.710938] [adversarial loss: 1.069447, acc: 0.328125] 31981: [discriminator loss: 0.526310, acc: 0.703125] [adversarial loss: 1.137501, acc: 0.359375] 31982: [discriminator loss: 0.477367, acc: 0.773438] [adversarial loss: 1.310037, acc: 0.328125] 31983: [discriminator loss: 0.541438, acc: 0.718750] [adversarial loss: 1.346906, acc: 0.250000] 31984: [discriminator loss: 0.518203, acc: 0.687500] [adversarial loss: 0.976321, acc: 0.406250] 31985: [discriminator loss: 0.576343, acc: 0.710938] [adversarial loss: 1.363361, acc: 0.218750] 31986: [discriminator loss: 0.471236, acc: 0.773438] [adversarial loss: 1.253327, acc: 0.218750] 31987: [discriminator loss: 0.456382, acc: 0.781250] [adversarial loss: 1.500298, acc: 0.234375] 31988: [discriminator loss: 0.565853, acc: 0.664062] [adversarial loss: 0.894476, acc: 0.468750] 31989: [discriminator loss: 0.575032, acc: 0.679688] [adversarial loss: 1.762865, acc: 0.078125] 31990: [discriminator loss: 0.497388, acc: 0.703125] [adversarial loss: 0.909155, acc: 0.390625] 31991: [discriminator loss: 0.594045, acc: 0.648438] [adversarial loss: 1.587424, acc: 0.078125] 31992: [discriminator loss: 0.580840, acc: 0.695312] [adversarial loss: 1.041879, acc: 0.375000] 31993: [discriminator loss: 0.571616, acc: 0.703125] [adversarial loss: 1.579717, acc: 0.171875] 31994: [discriminator loss: 0.532591, acc: 0.710938] [adversarial loss: 1.118770, acc: 0.312500] 31995: [discriminator loss: 0.450331, acc: 0.804688] [adversarial loss: 1.377387, acc: 0.218750] 31996: [discriminator loss: 0.521403, acc: 0.757812] [adversarial loss: 1.109354, acc: 0.281250] 31997: [discriminator loss: 0.460258, acc: 0.781250] [adversarial loss: 1.231968, acc: 0.265625] 31998: [discriminator loss: 0.466052, acc: 0.718750] [adversarial loss: 0.930390, acc: 0.484375] 31999: [discriminator loss: 0.504572, acc: 0.781250] [adversarial loss: 1.752024, acc: 0.187500] 32000: [discriminator loss: 0.484344, acc: 0.757812] [adversarial loss: 0.997365, acc: 0.390625] 32001: [discriminator loss: 0.535074, acc: 0.687500] [adversarial loss: 1.557383, acc: 0.062500] 32002: [discriminator loss: 0.531647, acc: 0.710938] [adversarial loss: 1.246524, acc: 0.250000] 32003: [discriminator loss: 0.487054, acc: 0.773438] [adversarial loss: 1.346736, acc: 0.234375] 32004: [discriminator loss: 0.590486, acc: 0.710938] [adversarial loss: 1.257951, acc: 0.281250] 32005: [discriminator loss: 0.460491, acc: 0.796875] [adversarial loss: 1.504020, acc: 0.171875] 32006: [discriminator loss: 0.450937, acc: 0.820312] [adversarial loss: 1.106248, acc: 0.343750] 32007: [discriminator loss: 0.589081, acc: 0.664062] [adversarial loss: 1.392087, acc: 0.171875] 32008: [discriminator loss: 0.505063, acc: 0.750000] [adversarial loss: 1.064014, acc: 0.359375] 32009: [discriminator loss: 0.528352, acc: 0.773438] [adversarial loss: 1.474214, acc: 0.125000] 32010: [discriminator loss: 0.515444, acc: 0.695312] [adversarial loss: 0.943092, acc: 0.453125] 32011: [discriminator loss: 0.522663, acc: 0.750000] [adversarial loss: 1.066229, acc: 0.343750] 32012: [discriminator loss: 0.495553, acc: 0.773438] [adversarial loss: 0.884128, acc: 0.421875] 32013: [discriminator loss: 0.490498, acc: 0.757812] [adversarial loss: 1.026672, acc: 0.390625] 32014: [discriminator loss: 0.524734, acc: 0.796875] [adversarial loss: 1.418432, acc: 0.250000] 32015: [discriminator loss: 0.493043, acc: 0.718750] [adversarial loss: 0.689979, acc: 0.578125] 32016: [discriminator loss: 0.570116, acc: 0.734375] [adversarial loss: 1.694556, acc: 0.109375] 32017: [discriminator loss: 0.671584, acc: 0.601562] [adversarial loss: 0.786900, acc: 0.500000] 32018: [discriminator loss: 0.570722, acc: 0.703125] [adversarial loss: 1.653401, acc: 0.156250] 32019: [discriminator loss: 0.533628, acc: 0.726562] [adversarial loss: 0.864301, acc: 0.437500] 32020: [discriminator loss: 0.501086, acc: 0.796875] [adversarial loss: 1.636179, acc: 0.187500] 32021: [discriminator loss: 0.478892, acc: 0.734375] [adversarial loss: 1.071954, acc: 0.328125] 32022: [discriminator loss: 0.543886, acc: 0.695312] [adversarial loss: 1.494164, acc: 0.156250] 32023: [discriminator loss: 0.589641, acc: 0.703125] [adversarial loss: 0.964099, acc: 0.343750] 32024: [discriminator loss: 0.529683, acc: 0.703125] [adversarial loss: 0.911212, acc: 0.390625] 32025: [discriminator loss: 0.505693, acc: 0.750000] [adversarial loss: 1.203690, acc: 0.203125] 32026: [discriminator loss: 0.530589, acc: 0.726562] [adversarial loss: 1.243072, acc: 0.265625] 32027: [discriminator loss: 0.438303, acc: 0.812500] [adversarial loss: 1.057575, acc: 0.328125] 32028: [discriminator loss: 0.491236, acc: 0.757812] [adversarial loss: 1.043283, acc: 0.359375] 32029: [discriminator loss: 0.460603, acc: 0.781250] [adversarial loss: 1.107141, acc: 0.296875] 32030: [discriminator loss: 0.528768, acc: 0.750000] [adversarial loss: 1.052151, acc: 0.359375] 32031: [discriminator loss: 0.487345, acc: 0.781250] [adversarial loss: 1.239487, acc: 0.218750] 32032: [discriminator loss: 0.498342, acc: 0.789062] [adversarial loss: 1.118482, acc: 0.328125] 32033: [discriminator loss: 0.499578, acc: 0.765625] [adversarial loss: 0.912641, acc: 0.359375] 32034: [discriminator loss: 0.480485, acc: 0.765625] [adversarial loss: 1.068447, acc: 0.343750] 32035: [discriminator loss: 0.512944, acc: 0.757812] [adversarial loss: 1.658289, acc: 0.171875] 32036: [discriminator loss: 0.434244, acc: 0.828125] [adversarial loss: 1.197010, acc: 0.296875] 32037: [discriminator loss: 0.561347, acc: 0.703125] [adversarial loss: 1.321030, acc: 0.250000] 32038: [discriminator loss: 0.542496, acc: 0.718750] [adversarial loss: 1.267005, acc: 0.296875] 32039: [discriminator loss: 0.549688, acc: 0.726562] [adversarial loss: 2.374181, acc: 0.046875] 32040: [discriminator loss: 0.505229, acc: 0.718750] [adversarial loss: 0.836134, acc: 0.484375] 32041: [discriminator loss: 0.553073, acc: 0.695312] [adversarial loss: 1.765755, acc: 0.046875] 32042: [discriminator loss: 0.505523, acc: 0.718750] [adversarial loss: 1.089297, acc: 0.343750] 32043: [discriminator loss: 0.566362, acc: 0.726562] [adversarial loss: 1.781864, acc: 0.046875] 32044: [discriminator loss: 0.524861, acc: 0.726562] [adversarial loss: 1.040762, acc: 0.390625] 32045: [discriminator loss: 0.523099, acc: 0.757812] [adversarial loss: 1.809399, acc: 0.078125] 32046: [discriminator loss: 0.540557, acc: 0.757812] [adversarial loss: 0.981048, acc: 0.343750] 32047: [discriminator loss: 0.501669, acc: 0.742188] [adversarial loss: 1.408600, acc: 0.234375] 32048: [discriminator loss: 0.493276, acc: 0.742188] [adversarial loss: 1.216390, acc: 0.312500] 32049: [discriminator loss: 0.455924, acc: 0.757812] [adversarial loss: 1.494833, acc: 0.187500] 32050: [discriminator loss: 0.496873, acc: 0.710938] [adversarial loss: 1.267969, acc: 0.203125] 32051: [discriminator loss: 0.531057, acc: 0.742188] [adversarial loss: 1.389945, acc: 0.156250] 32052: [discriminator loss: 0.431283, acc: 0.789062] [adversarial loss: 1.158011, acc: 0.265625] 32053: [discriminator loss: 0.584745, acc: 0.664062] [adversarial loss: 1.964817, acc: 0.093750] 32054: [discriminator loss: 0.566064, acc: 0.687500] [adversarial loss: 0.773395, acc: 0.546875] 32055: [discriminator loss: 0.634950, acc: 0.710938] [adversarial loss: 1.580602, acc: 0.187500] 32056: [discriminator loss: 0.455423, acc: 0.804688] [adversarial loss: 1.334552, acc: 0.312500] 32057: [discriminator loss: 0.540946, acc: 0.718750] [adversarial loss: 1.287783, acc: 0.250000] 32058: [discriminator loss: 0.545401, acc: 0.734375] [adversarial loss: 1.399569, acc: 0.187500] 32059: [discriminator loss: 0.493451, acc: 0.742188] [adversarial loss: 1.048307, acc: 0.343750] 32060: [discriminator loss: 0.460426, acc: 0.781250] [adversarial loss: 1.297014, acc: 0.156250] 32061: [discriminator loss: 0.524921, acc: 0.750000] [adversarial loss: 1.028576, acc: 0.406250] 32062: [discriminator loss: 0.475130, acc: 0.734375] [adversarial loss: 1.663290, acc: 0.171875] 32063: [discriminator loss: 0.478924, acc: 0.742188] [adversarial loss: 1.035273, acc: 0.390625] 32064: [discriminator loss: 0.580660, acc: 0.656250] [adversarial loss: 1.859952, acc: 0.125000] 32065: [discriminator loss: 0.559158, acc: 0.726562] [adversarial loss: 0.990077, acc: 0.406250] 32066: [discriminator loss: 0.432719, acc: 0.796875] [adversarial loss: 1.696032, acc: 0.187500] 32067: [discriminator loss: 0.388301, acc: 0.843750] [adversarial loss: 1.187448, acc: 0.375000] 32068: [discriminator loss: 0.537834, acc: 0.773438] [adversarial loss: 1.410662, acc: 0.218750] 32069: [discriminator loss: 0.545785, acc: 0.734375] [adversarial loss: 1.156842, acc: 0.359375] 32070: [discriminator loss: 0.586592, acc: 0.687500] [adversarial loss: 1.014352, acc: 0.359375] 32071: [discriminator loss: 0.457722, acc: 0.781250] [adversarial loss: 1.127489, acc: 0.296875] 32072: [discriminator loss: 0.484014, acc: 0.773438] [adversarial loss: 1.121188, acc: 0.328125] 32073: [discriminator loss: 0.545015, acc: 0.750000] [adversarial loss: 0.953814, acc: 0.453125] 32074: [discriminator loss: 0.552035, acc: 0.671875] [adversarial loss: 1.456788, acc: 0.156250] 32075: [discriminator loss: 0.533387, acc: 0.734375] [adversarial loss: 0.699558, acc: 0.640625] 32076: [discriminator loss: 0.529059, acc: 0.703125] [adversarial loss: 1.557121, acc: 0.187500] 32077: [discriminator loss: 0.552605, acc: 0.726562] [adversarial loss: 0.770792, acc: 0.515625] 32078: [discriminator loss: 0.514032, acc: 0.718750] [adversarial loss: 1.515581, acc: 0.187500] 32079: [discriminator loss: 0.505407, acc: 0.742188] [adversarial loss: 1.101969, acc: 0.343750] 32080: [discriminator loss: 0.530636, acc: 0.710938] [adversarial loss: 1.288332, acc: 0.218750] 32081: [discriminator loss: 0.528160, acc: 0.765625] [adversarial loss: 1.080868, acc: 0.390625] 32082: [discriminator loss: 0.515412, acc: 0.734375] [adversarial loss: 1.279294, acc: 0.218750] 32083: [discriminator loss: 0.546392, acc: 0.726562] [adversarial loss: 1.090787, acc: 0.375000] 32084: [discriminator loss: 0.576044, acc: 0.687500] [adversarial loss: 1.239701, acc: 0.234375] 32085: [discriminator loss: 0.435746, acc: 0.828125] [adversarial loss: 1.241934, acc: 0.281250] 32086: [discriminator loss: 0.529315, acc: 0.718750] [adversarial loss: 0.844188, acc: 0.468750] 32087: [discriminator loss: 0.570568, acc: 0.734375] [adversarial loss: 1.754547, acc: 0.156250] 32088: [discriminator loss: 0.626176, acc: 0.671875] [adversarial loss: 0.834568, acc: 0.531250] 32089: [discriminator loss: 0.476754, acc: 0.765625] [adversarial loss: 1.368620, acc: 0.187500] 32090: [discriminator loss: 0.455979, acc: 0.750000] [adversarial loss: 0.969957, acc: 0.453125] 32091: [discriminator loss: 0.634635, acc: 0.640625] [adversarial loss: 1.481406, acc: 0.171875] 32092: [discriminator loss: 0.543566, acc: 0.750000] [adversarial loss: 1.215649, acc: 0.281250] 32093: [discriminator loss: 0.462767, acc: 0.796875] [adversarial loss: 1.210127, acc: 0.234375] 32094: [discriminator loss: 0.574068, acc: 0.726562] [adversarial loss: 1.154750, acc: 0.250000] 32095: [discriminator loss: 0.545648, acc: 0.726562] [adversarial loss: 1.814043, acc: 0.078125] 32096: [discriminator loss: 0.537954, acc: 0.750000] [adversarial loss: 0.948264, acc: 0.406250] 32097: [discriminator loss: 0.496792, acc: 0.742188] [adversarial loss: 1.162065, acc: 0.265625] 32098: [discriminator loss: 0.512524, acc: 0.734375] [adversarial loss: 1.050832, acc: 0.343750] 32099: [discriminator loss: 0.528162, acc: 0.757812] [adversarial loss: 1.908131, acc: 0.109375] 32100: [discriminator loss: 0.522429, acc: 0.757812] [adversarial loss: 0.935027, acc: 0.468750] 32101: [discriminator loss: 0.570127, acc: 0.664062] [adversarial loss: 1.518849, acc: 0.078125] 32102: [discriminator loss: 0.452815, acc: 0.804688] [adversarial loss: 1.140442, acc: 0.328125] 32103: [discriminator loss: 0.516478, acc: 0.703125] [adversarial loss: 1.362066, acc: 0.234375] 32104: [discriminator loss: 0.539839, acc: 0.750000] [adversarial loss: 0.898023, acc: 0.375000] 32105: [discriminator loss: 0.490906, acc: 0.726562] [adversarial loss: 1.738722, acc: 0.109375] 32106: [discriminator loss: 0.531432, acc: 0.742188] [adversarial loss: 1.075796, acc: 0.328125] 32107: [discriminator loss: 0.561862, acc: 0.703125] [adversarial loss: 1.223954, acc: 0.296875] 32108: [discriminator loss: 0.528785, acc: 0.734375] [adversarial loss: 1.308013, acc: 0.296875] 32109: [discriminator loss: 0.504055, acc: 0.750000] [adversarial loss: 1.314343, acc: 0.281250] 32110: [discriminator loss: 0.638884, acc: 0.601562] [adversarial loss: 1.152395, acc: 0.281250] 32111: [discriminator loss: 0.534947, acc: 0.734375] [adversarial loss: 1.362970, acc: 0.218750] 32112: [discriminator loss: 0.524552, acc: 0.703125] [adversarial loss: 1.353693, acc: 0.171875] 32113: [discriminator loss: 0.524771, acc: 0.734375] [adversarial loss: 1.475403, acc: 0.125000] 32114: [discriminator loss: 0.574294, acc: 0.687500] [adversarial loss: 1.003430, acc: 0.375000] 32115: [discriminator loss: 0.559196, acc: 0.718750] [adversarial loss: 1.723636, acc: 0.093750] 32116: [discriminator loss: 0.532751, acc: 0.742188] [adversarial loss: 0.876397, acc: 0.453125] 32117: [discriminator loss: 0.554607, acc: 0.695312] [adversarial loss: 1.813902, acc: 0.078125] 32118: [discriminator loss: 0.514946, acc: 0.718750] [adversarial loss: 0.979341, acc: 0.421875] 32119: [discriminator loss: 0.563027, acc: 0.710938] [adversarial loss: 1.329643, acc: 0.156250] 32120: [discriminator loss: 0.516800, acc: 0.742188] [adversarial loss: 1.119744, acc: 0.375000] 32121: [discriminator loss: 0.590170, acc: 0.679688] [adversarial loss: 1.243512, acc: 0.265625] 32122: [discriminator loss: 0.454846, acc: 0.765625] [adversarial loss: 1.236503, acc: 0.265625] 32123: [discriminator loss: 0.443060, acc: 0.820312] [adversarial loss: 1.288660, acc: 0.203125] 32124: [discriminator loss: 0.534404, acc: 0.742188] [adversarial loss: 1.597926, acc: 0.156250] 32125: [discriminator loss: 0.592488, acc: 0.671875] [adversarial loss: 0.872965, acc: 0.531250] 32126: [discriminator loss: 0.550710, acc: 0.750000] [adversarial loss: 1.242664, acc: 0.296875] 32127: [discriminator loss: 0.515426, acc: 0.742188] [adversarial loss: 1.114012, acc: 0.312500] 32128: [discriminator loss: 0.587783, acc: 0.687500] [adversarial loss: 1.275024, acc: 0.265625] 32129: [discriminator loss: 0.475623, acc: 0.718750] [adversarial loss: 1.304054, acc: 0.234375] 32130: [discriminator loss: 0.535863, acc: 0.718750] [adversarial loss: 1.209282, acc: 0.250000] 32131: [discriminator loss: 0.442332, acc: 0.773438] [adversarial loss: 1.645425, acc: 0.171875] 32132: [discriminator loss: 0.521744, acc: 0.757812] [adversarial loss: 0.836564, acc: 0.484375] 32133: [discriminator loss: 0.562923, acc: 0.671875] [adversarial loss: 1.563673, acc: 0.140625] 32134: [discriminator loss: 0.558991, acc: 0.679688] [adversarial loss: 0.950653, acc: 0.468750] 32135: [discriminator loss: 0.473072, acc: 0.742188] [adversarial loss: 1.301138, acc: 0.171875] 32136: [discriminator loss: 0.533479, acc: 0.710938] [adversarial loss: 1.137815, acc: 0.343750] 32137: [discriminator loss: 0.547408, acc: 0.710938] [adversarial loss: 1.469111, acc: 0.171875] 32138: [discriminator loss: 0.505766, acc: 0.757812] [adversarial loss: 0.965826, acc: 0.437500] 32139: [discriminator loss: 0.498858, acc: 0.781250] [adversarial loss: 1.524483, acc: 0.171875] 32140: [discriminator loss: 0.470638, acc: 0.765625] [adversarial loss: 1.340658, acc: 0.281250] 32141: [discriminator loss: 0.514312, acc: 0.742188] [adversarial loss: 1.241075, acc: 0.203125] 32142: [discriminator loss: 0.562306, acc: 0.671875] [adversarial loss: 1.213131, acc: 0.328125] 32143: [discriminator loss: 0.554029, acc: 0.718750] [adversarial loss: 1.544078, acc: 0.093750] 32144: [discriminator loss: 0.507451, acc: 0.734375] [adversarial loss: 1.412300, acc: 0.109375] 32145: [discriminator loss: 0.464752, acc: 0.789062] [adversarial loss: 1.278224, acc: 0.296875] 32146: [discriminator loss: 0.469803, acc: 0.781250] [adversarial loss: 1.122305, acc: 0.234375] 32147: [discriminator loss: 0.558080, acc: 0.703125] [adversarial loss: 1.381873, acc: 0.156250] 32148: [discriminator loss: 0.428969, acc: 0.843750] [adversarial loss: 1.492349, acc: 0.156250] 32149: [discriminator loss: 0.509966, acc: 0.703125] [adversarial loss: 1.290880, acc: 0.234375] 32150: [discriminator loss: 0.565472, acc: 0.703125] [adversarial loss: 1.541362, acc: 0.187500] 32151: [discriminator loss: 0.470053, acc: 0.796875] [adversarial loss: 1.398363, acc: 0.203125] 32152: [discriminator loss: 0.457666, acc: 0.812500] [adversarial loss: 1.058194, acc: 0.406250] 32153: [discriminator loss: 0.527035, acc: 0.687500] [adversarial loss: 1.745336, acc: 0.125000] 32154: [discriminator loss: 0.561362, acc: 0.718750] [adversarial loss: 0.775494, acc: 0.531250] 32155: [discriminator loss: 0.594875, acc: 0.687500] [adversarial loss: 1.846395, acc: 0.062500] 32156: [discriminator loss: 0.556690, acc: 0.695312] [adversarial loss: 1.147648, acc: 0.328125] 32157: [discriminator loss: 0.536025, acc: 0.750000] [adversarial loss: 1.584950, acc: 0.187500] 32158: [discriminator loss: 0.521451, acc: 0.726562] [adversarial loss: 0.994096, acc: 0.421875] 32159: [discriminator loss: 0.556121, acc: 0.742188] [adversarial loss: 1.270561, acc: 0.250000] 32160: [discriminator loss: 0.561422, acc: 0.687500] [adversarial loss: 1.236457, acc: 0.281250] 32161: [discriminator loss: 0.488905, acc: 0.812500] [adversarial loss: 1.570282, acc: 0.140625] 32162: [discriminator loss: 0.593801, acc: 0.656250] [adversarial loss: 0.890391, acc: 0.515625] 32163: [discriminator loss: 0.558047, acc: 0.664062] [adversarial loss: 1.466319, acc: 0.171875] 32164: [discriminator loss: 0.466431, acc: 0.765625] [adversarial loss: 1.058825, acc: 0.328125] 32165: [discriminator loss: 0.439715, acc: 0.757812] [adversarial loss: 1.730991, acc: 0.140625] 32166: [discriminator loss: 0.594338, acc: 0.656250] [adversarial loss: 0.827344, acc: 0.562500] 32167: [discriminator loss: 0.534368, acc: 0.718750] [adversarial loss: 1.788924, acc: 0.109375] 32168: [discriminator loss: 0.495386, acc: 0.781250] [adversarial loss: 0.980259, acc: 0.421875] 32169: [discriminator loss: 0.499632, acc: 0.710938] [adversarial loss: 1.457008, acc: 0.140625] 32170: [discriminator loss: 0.564901, acc: 0.703125] [adversarial loss: 1.089048, acc: 0.343750] 32171: [discriminator loss: 0.534099, acc: 0.679688] [adversarial loss: 1.137411, acc: 0.281250] 32172: [discriminator loss: 0.506159, acc: 0.750000] [adversarial loss: 1.480164, acc: 0.187500] 32173: [discriminator loss: 0.519606, acc: 0.765625] [adversarial loss: 1.304008, acc: 0.218750] 32174: [discriminator loss: 0.541864, acc: 0.726562] [adversarial loss: 0.965127, acc: 0.468750] 32175: [discriminator loss: 0.536265, acc: 0.695312] [adversarial loss: 1.209641, acc: 0.218750] 32176: [discriminator loss: 0.556302, acc: 0.718750] [adversarial loss: 1.003958, acc: 0.406250] 32177: [discriminator loss: 0.486419, acc: 0.750000] [adversarial loss: 1.341197, acc: 0.187500] 32178: [discriminator loss: 0.449406, acc: 0.789062] [adversarial loss: 1.109656, acc: 0.406250] 32179: [discriminator loss: 0.571064, acc: 0.703125] [adversarial loss: 1.975414, acc: 0.093750] 32180: [discriminator loss: 0.542980, acc: 0.710938] [adversarial loss: 0.748741, acc: 0.609375] 32181: [discriminator loss: 0.577245, acc: 0.726562] [adversarial loss: 1.727499, acc: 0.078125] 32182: [discriminator loss: 0.523069, acc: 0.750000] [adversarial loss: 0.844066, acc: 0.468750] 32183: [discriminator loss: 0.483538, acc: 0.726562] [adversarial loss: 1.421710, acc: 0.218750] 32184: [discriminator loss: 0.613457, acc: 0.632812] [adversarial loss: 1.109834, acc: 0.375000] 32185: [discriminator loss: 0.488701, acc: 0.765625] [adversarial loss: 1.015407, acc: 0.343750] 32186: [discriminator loss: 0.467629, acc: 0.789062] [adversarial loss: 1.078669, acc: 0.296875] 32187: [discriminator loss: 0.519224, acc: 0.742188] [adversarial loss: 1.437286, acc: 0.187500] 32188: [discriminator loss: 0.588129, acc: 0.695312] [adversarial loss: 0.939097, acc: 0.375000] 32189: [discriminator loss: 0.529209, acc: 0.679688] [adversarial loss: 1.381360, acc: 0.234375] 32190: [discriminator loss: 0.520387, acc: 0.742188] [adversarial loss: 1.277695, acc: 0.203125] 32191: [discriminator loss: 0.445232, acc: 0.781250] [adversarial loss: 1.035481, acc: 0.359375] 32192: [discriminator loss: 0.523824, acc: 0.734375] [adversarial loss: 1.134516, acc: 0.359375] 32193: [discriminator loss: 0.498410, acc: 0.734375] [adversarial loss: 1.408872, acc: 0.093750] 32194: [discriminator loss: 0.481101, acc: 0.796875] [adversarial loss: 1.244646, acc: 0.234375] 32195: [discriminator loss: 0.499613, acc: 0.757812] [adversarial loss: 1.288059, acc: 0.265625] 32196: [discriminator loss: 0.484816, acc: 0.757812] [adversarial loss: 1.099041, acc: 0.375000] 32197: [discriminator loss: 0.515614, acc: 0.687500] [adversarial loss: 1.774144, acc: 0.140625] 32198: [discriminator loss: 0.497556, acc: 0.718750] [adversarial loss: 1.029527, acc: 0.359375] 32199: [discriminator loss: 0.551380, acc: 0.695312] [adversarial loss: 1.811265, acc: 0.093750] 32200: [discriminator loss: 0.480185, acc: 0.726562] [adversarial loss: 0.703093, acc: 0.578125] 32201: [discriminator loss: 0.586961, acc: 0.726562] [adversarial loss: 1.741991, acc: 0.093750] 32202: [discriminator loss: 0.611842, acc: 0.656250] [adversarial loss: 0.877320, acc: 0.515625] 32203: [discriminator loss: 0.525093, acc: 0.726562] [adversarial loss: 1.868854, acc: 0.046875] 32204: [discriminator loss: 0.525810, acc: 0.710938] [adversarial loss: 1.017727, acc: 0.375000] 32205: [discriminator loss: 0.534812, acc: 0.695312] [adversarial loss: 1.832368, acc: 0.078125] 32206: [discriminator loss: 0.569181, acc: 0.632812] [adversarial loss: 1.069472, acc: 0.453125] 32207: [discriminator loss: 0.560815, acc: 0.718750] [adversarial loss: 2.016503, acc: 0.078125] 32208: [discriminator loss: 0.465098, acc: 0.742188] [adversarial loss: 1.280269, acc: 0.265625] 32209: [discriminator loss: 0.497797, acc: 0.796875] [adversarial loss: 1.532567, acc: 0.125000] 32210: [discriminator loss: 0.532663, acc: 0.718750] [adversarial loss: 1.295002, acc: 0.234375] 32211: [discriminator loss: 0.476611, acc: 0.734375] [adversarial loss: 1.197236, acc: 0.312500] 32212: [discriminator loss: 0.542976, acc: 0.664062] [adversarial loss: 0.987176, acc: 0.343750] 32213: [discriminator loss: 0.555475, acc: 0.726562] [adversarial loss: 1.638190, acc: 0.187500] 32214: [discriminator loss: 0.494605, acc: 0.757812] [adversarial loss: 1.079292, acc: 0.390625] 32215: [discriminator loss: 0.549939, acc: 0.734375] [adversarial loss: 1.460675, acc: 0.218750] 32216: [discriminator loss: 0.552264, acc: 0.710938] [adversarial loss: 1.051875, acc: 0.328125] 32217: [discriminator loss: 0.603979, acc: 0.664062] [adversarial loss: 1.838821, acc: 0.109375] 32218: [discriminator loss: 0.541637, acc: 0.703125] [adversarial loss: 1.020611, acc: 0.437500] 32219: [discriminator loss: 0.513477, acc: 0.734375] [adversarial loss: 1.464877, acc: 0.234375] 32220: [discriminator loss: 0.541634, acc: 0.789062] [adversarial loss: 1.059327, acc: 0.359375] 32221: [discriminator loss: 0.510894, acc: 0.734375] [adversarial loss: 1.425033, acc: 0.187500] 32222: [discriminator loss: 0.447590, acc: 0.765625] [adversarial loss: 1.251246, acc: 0.328125] 32223: [discriminator loss: 0.529983, acc: 0.750000] [adversarial loss: 1.561063, acc: 0.093750] 32224: [discriminator loss: 0.499996, acc: 0.765625] [adversarial loss: 1.224336, acc: 0.296875] 32225: [discriminator loss: 0.464627, acc: 0.757812] [adversarial loss: 1.031056, acc: 0.406250] 32226: [discriminator loss: 0.537900, acc: 0.718750] [adversarial loss: 1.442870, acc: 0.171875] 32227: [discriminator loss: 0.559534, acc: 0.726562] [adversarial loss: 0.870798, acc: 0.453125] 32228: [discriminator loss: 0.663060, acc: 0.695312] [adversarial loss: 2.000390, acc: 0.046875] 32229: [discriminator loss: 0.519623, acc: 0.718750] [adversarial loss: 0.784123, acc: 0.484375] 32230: [discriminator loss: 0.603565, acc: 0.695312] [adversarial loss: 1.538651, acc: 0.156250] 32231: [discriminator loss: 0.547789, acc: 0.710938] [adversarial loss: 1.117670, acc: 0.343750] 32232: [discriminator loss: 0.560976, acc: 0.710938] [adversarial loss: 1.507996, acc: 0.156250] 32233: [discriminator loss: 0.491496, acc: 0.750000] [adversarial loss: 1.034083, acc: 0.234375] 32234: [discriminator loss: 0.485716, acc: 0.789062] [adversarial loss: 1.403114, acc: 0.156250] 32235: [discriminator loss: 0.530673, acc: 0.718750] [adversarial loss: 1.316708, acc: 0.250000] 32236: [discriminator loss: 0.540200, acc: 0.742188] [adversarial loss: 1.142618, acc: 0.234375] 32237: [discriminator loss: 0.459986, acc: 0.796875] [adversarial loss: 1.071537, acc: 0.359375] 32238: [discriminator loss: 0.539510, acc: 0.710938] [adversarial loss: 1.258076, acc: 0.109375] 32239: [discriminator loss: 0.553784, acc: 0.734375] [adversarial loss: 1.033800, acc: 0.312500] 32240: [discriminator loss: 0.479515, acc: 0.796875] [adversarial loss: 1.439926, acc: 0.140625] 32241: [discriminator loss: 0.544169, acc: 0.718750] [adversarial loss: 0.994818, acc: 0.406250] 32242: [discriminator loss: 0.539268, acc: 0.750000] [adversarial loss: 1.699485, acc: 0.062500] 32243: [discriminator loss: 0.545797, acc: 0.726562] [adversarial loss: 1.066183, acc: 0.343750] 32244: [discriminator loss: 0.527457, acc: 0.750000] [adversarial loss: 1.312289, acc: 0.234375] 32245: [discriminator loss: 0.483964, acc: 0.789062] [adversarial loss: 1.182476, acc: 0.218750] 32246: [discriminator loss: 0.464464, acc: 0.781250] [adversarial loss: 1.178949, acc: 0.218750] 32247: [discriminator loss: 0.537860, acc: 0.710938] [adversarial loss: 1.195607, acc: 0.312500] 32248: [discriminator loss: 0.472980, acc: 0.812500] [adversarial loss: 1.467924, acc: 0.203125] 32249: [discriminator loss: 0.653108, acc: 0.617188] [adversarial loss: 1.041975, acc: 0.343750] 32250: [discriminator loss: 0.509065, acc: 0.710938] [adversarial loss: 1.526934, acc: 0.187500] 32251: [discriminator loss: 0.476931, acc: 0.796875] [adversarial loss: 1.072703, acc: 0.328125] 32252: [discriminator loss: 0.581160, acc: 0.687500] [adversarial loss: 1.758629, acc: 0.109375] 32253: [discriminator loss: 0.498889, acc: 0.750000] [adversarial loss: 1.046134, acc: 0.390625] 32254: [discriminator loss: 0.592544, acc: 0.648438] [adversarial loss: 1.391136, acc: 0.203125] 32255: [discriminator loss: 0.569743, acc: 0.687500] [adversarial loss: 1.226839, acc: 0.296875] 32256: [discriminator loss: 0.584803, acc: 0.664062] [adversarial loss: 1.243169, acc: 0.156250] 32257: [discriminator loss: 0.592354, acc: 0.656250] [adversarial loss: 1.259735, acc: 0.281250] 32258: [discriminator loss: 0.565653, acc: 0.671875] [adversarial loss: 1.063349, acc: 0.296875] 32259: [discriminator loss: 0.597343, acc: 0.648438] [adversarial loss: 1.365170, acc: 0.203125] 32260: [discriminator loss: 0.472483, acc: 0.750000] [adversarial loss: 1.288483, acc: 0.265625] 32261: [discriminator loss: 0.481262, acc: 0.734375] [adversarial loss: 1.123873, acc: 0.343750] 32262: [discriminator loss: 0.474155, acc: 0.820312] [adversarial loss: 1.667827, acc: 0.140625] 32263: [discriminator loss: 0.537349, acc: 0.750000] [adversarial loss: 1.183167, acc: 0.281250] 32264: [discriminator loss: 0.526592, acc: 0.765625] [adversarial loss: 1.362203, acc: 0.187500] 32265: [discriminator loss: 0.547168, acc: 0.703125] [adversarial loss: 0.983176, acc: 0.343750] 32266: [discriminator loss: 0.487922, acc: 0.750000] [adversarial loss: 1.630402, acc: 0.078125] 32267: [discriminator loss: 0.557078, acc: 0.703125] [adversarial loss: 0.925371, acc: 0.390625] 32268: [discriminator loss: 0.588961, acc: 0.671875] [adversarial loss: 1.577611, acc: 0.156250] 32269: [discriminator loss: 0.538460, acc: 0.710938] [adversarial loss: 0.762379, acc: 0.500000] 32270: [discriminator loss: 0.471554, acc: 0.781250] [adversarial loss: 1.705392, acc: 0.140625] 32271: [discriminator loss: 0.476970, acc: 0.765625] [adversarial loss: 0.783541, acc: 0.515625] 32272: [discriminator loss: 0.523552, acc: 0.726562] [adversarial loss: 1.362780, acc: 0.187500] 32273: [discriminator loss: 0.462933, acc: 0.750000] [adversarial loss: 1.146022, acc: 0.359375] 32274: [discriminator loss: 0.557853, acc: 0.710938] [adversarial loss: 1.740848, acc: 0.125000] 32275: [discriminator loss: 0.528247, acc: 0.703125] [adversarial loss: 0.831466, acc: 0.468750] 32276: [discriminator loss: 0.497278, acc: 0.742188] [adversarial loss: 1.779404, acc: 0.093750] 32277: [discriminator loss: 0.525472, acc: 0.734375] [adversarial loss: 0.919775, acc: 0.453125] 32278: [discriminator loss: 0.534671, acc: 0.742188] [adversarial loss: 1.566283, acc: 0.125000] 32279: [discriminator loss: 0.576604, acc: 0.687500] [adversarial loss: 1.180147, acc: 0.265625] 32280: [discriminator loss: 0.605969, acc: 0.679688] [adversarial loss: 1.420135, acc: 0.203125] 32281: [discriminator loss: 0.547856, acc: 0.734375] [adversarial loss: 1.065589, acc: 0.312500] 32282: [discriminator loss: 0.485766, acc: 0.781250] [adversarial loss: 1.148911, acc: 0.265625] 32283: [discriminator loss: 0.519032, acc: 0.750000] [adversarial loss: 1.164755, acc: 0.265625] 32284: [discriminator loss: 0.549622, acc: 0.710938] [adversarial loss: 1.023476, acc: 0.359375] 32285: [discriminator loss: 0.431122, acc: 0.843750] [adversarial loss: 1.108017, acc: 0.343750] 32286: [discriminator loss: 0.480989, acc: 0.773438] [adversarial loss: 1.419530, acc: 0.203125] 32287: [discriminator loss: 0.520772, acc: 0.718750] [adversarial loss: 1.224422, acc: 0.265625] 32288: [discriminator loss: 0.523703, acc: 0.742188] [adversarial loss: 1.258283, acc: 0.250000] 32289: [discriminator loss: 0.441898, acc: 0.796875] [adversarial loss: 1.324962, acc: 0.171875] 32290: [discriminator loss: 0.488133, acc: 0.765625] [adversarial loss: 1.416776, acc: 0.234375] 32291: [discriminator loss: 0.516160, acc: 0.726562] [adversarial loss: 1.303883, acc: 0.296875] 32292: [discriminator loss: 0.563038, acc: 0.695312] [adversarial loss: 1.138926, acc: 0.359375] 32293: [discriminator loss: 0.551961, acc: 0.679688] [adversarial loss: 1.784947, acc: 0.156250] 32294: [discriminator loss: 0.540131, acc: 0.703125] [adversarial loss: 0.726521, acc: 0.625000] 32295: [discriminator loss: 0.547881, acc: 0.710938] [adversarial loss: 2.048435, acc: 0.062500] 32296: [discriminator loss: 0.604507, acc: 0.640625] [adversarial loss: 0.864711, acc: 0.437500] 32297: [discriminator loss: 0.565612, acc: 0.710938] [adversarial loss: 1.757525, acc: 0.046875] 32298: [discriminator loss: 0.612041, acc: 0.664062] [adversarial loss: 1.128401, acc: 0.343750] 32299: [discriminator loss: 0.487455, acc: 0.742188] [adversarial loss: 1.776520, acc: 0.125000] 32300: [discriminator loss: 0.493691, acc: 0.734375] [adversarial loss: 1.080010, acc: 0.343750] 32301: [discriminator loss: 0.482380, acc: 0.765625] [adversarial loss: 1.484142, acc: 0.156250] 32302: [discriminator loss: 0.490938, acc: 0.781250] [adversarial loss: 1.339463, acc: 0.171875] 32303: [discriminator loss: 0.558438, acc: 0.695312] [adversarial loss: 0.983352, acc: 0.437500] 32304: [discriminator loss: 0.576457, acc: 0.710938] [adversarial loss: 1.271270, acc: 0.296875] 32305: [discriminator loss: 0.546552, acc: 0.687500] [adversarial loss: 1.193792, acc: 0.359375] 32306: [discriminator loss: 0.607615, acc: 0.687500] [adversarial loss: 1.163672, acc: 0.312500] 32307: [discriminator loss: 0.542602, acc: 0.695312] [adversarial loss: 1.293437, acc: 0.265625] 32308: [discriminator loss: 0.481690, acc: 0.750000] [adversarial loss: 0.915476, acc: 0.343750] 32309: [discriminator loss: 0.461692, acc: 0.812500] [adversarial loss: 1.369554, acc: 0.140625] 32310: [discriminator loss: 0.530194, acc: 0.742188] [adversarial loss: 1.111965, acc: 0.312500] 32311: [discriminator loss: 0.521617, acc: 0.726562] [adversarial loss: 1.611964, acc: 0.156250] 32312: [discriminator loss: 0.495641, acc: 0.750000] [adversarial loss: 0.935900, acc: 0.421875] 32313: [discriminator loss: 0.486729, acc: 0.789062] [adversarial loss: 1.536174, acc: 0.125000] 32314: [discriminator loss: 0.572067, acc: 0.695312] [adversarial loss: 1.033753, acc: 0.359375] 32315: [discriminator loss: 0.537056, acc: 0.718750] [adversarial loss: 1.666863, acc: 0.109375] 32316: [discriminator loss: 0.571715, acc: 0.671875] [adversarial loss: 0.884860, acc: 0.437500] 32317: [discriminator loss: 0.571612, acc: 0.695312] [adversarial loss: 1.601733, acc: 0.140625] 32318: [discriminator loss: 0.506186, acc: 0.750000] [adversarial loss: 0.986442, acc: 0.531250] 32319: [discriminator loss: 0.505735, acc: 0.765625] [adversarial loss: 1.523830, acc: 0.156250] 32320: [discriminator loss: 0.549473, acc: 0.710938] [adversarial loss: 1.130262, acc: 0.312500] 32321: [discriminator loss: 0.538874, acc: 0.742188] [adversarial loss: 1.689463, acc: 0.093750] 32322: [discriminator loss: 0.557996, acc: 0.734375] [adversarial loss: 0.991682, acc: 0.453125] 32323: [discriminator loss: 0.520054, acc: 0.734375] [adversarial loss: 1.507483, acc: 0.140625] 32324: [discriminator loss: 0.502274, acc: 0.695312] [adversarial loss: 1.227800, acc: 0.203125] 32325: [discriminator loss: 0.547361, acc: 0.710938] [adversarial loss: 1.145956, acc: 0.312500] 32326: [discriminator loss: 0.490222, acc: 0.750000] [adversarial loss: 1.358493, acc: 0.234375] 32327: [discriminator loss: 0.497316, acc: 0.695312] [adversarial loss: 1.183393, acc: 0.296875] 32328: [discriminator loss: 0.553661, acc: 0.726562] [adversarial loss: 1.623361, acc: 0.156250] 32329: [discriminator loss: 0.474551, acc: 0.750000] [adversarial loss: 0.900175, acc: 0.468750] 32330: [discriminator loss: 0.607680, acc: 0.679688] [adversarial loss: 1.607824, acc: 0.171875] 32331: [discriminator loss: 0.510140, acc: 0.726562] [adversarial loss: 0.939688, acc: 0.421875] 32332: [discriminator loss: 0.515858, acc: 0.757812] [adversarial loss: 1.611067, acc: 0.109375] 32333: [discriminator loss: 0.554686, acc: 0.710938] [adversarial loss: 1.290104, acc: 0.250000] 32334: [discriminator loss: 0.491691, acc: 0.703125] [adversarial loss: 1.399794, acc: 0.140625] 32335: [discriminator loss: 0.536128, acc: 0.718750] [adversarial loss: 1.147607, acc: 0.281250] 32336: [discriminator loss: 0.434892, acc: 0.789062] [adversarial loss: 1.501262, acc: 0.093750] 32337: [discriminator loss: 0.585330, acc: 0.679688] [adversarial loss: 1.191387, acc: 0.234375] 32338: [discriminator loss: 0.478137, acc: 0.796875] [adversarial loss: 1.147642, acc: 0.218750] 32339: [discriminator loss: 0.541425, acc: 0.695312] [adversarial loss: 1.465800, acc: 0.234375] 32340: [discriminator loss: 0.521701, acc: 0.742188] [adversarial loss: 1.275584, acc: 0.281250] 32341: [discriminator loss: 0.506161, acc: 0.773438] [adversarial loss: 1.206741, acc: 0.265625] 32342: [discriminator loss: 0.510853, acc: 0.742188] [adversarial loss: 1.312142, acc: 0.265625] 32343: [discriminator loss: 0.547470, acc: 0.710938] [adversarial loss: 0.954898, acc: 0.375000] 32344: [discriminator loss: 0.521908, acc: 0.757812] [adversarial loss: 1.466959, acc: 0.171875] 32345: [discriminator loss: 0.470606, acc: 0.765625] [adversarial loss: 0.954641, acc: 0.359375] 32346: [discriminator loss: 0.532986, acc: 0.750000] [adversarial loss: 1.365351, acc: 0.156250] 32347: [discriminator loss: 0.448531, acc: 0.789062] [adversarial loss: 1.111995, acc: 0.312500] 32348: [discriminator loss: 0.482230, acc: 0.765625] [adversarial loss: 1.530777, acc: 0.093750] 32349: [discriminator loss: 0.521885, acc: 0.742188] [adversarial loss: 0.974968, acc: 0.421875] 32350: [discriminator loss: 0.507295, acc: 0.742188] [adversarial loss: 1.800915, acc: 0.078125] 32351: [discriminator loss: 0.608967, acc: 0.656250] [adversarial loss: 0.875370, acc: 0.437500] 32352: [discriminator loss: 0.550259, acc: 0.726562] [adversarial loss: 1.578688, acc: 0.109375] 32353: [discriminator loss: 0.506636, acc: 0.710938] [adversarial loss: 1.078991, acc: 0.375000] 32354: [discriminator loss: 0.542824, acc: 0.726562] [adversarial loss: 1.484258, acc: 0.140625] 32355: [discriminator loss: 0.547843, acc: 0.648438] [adversarial loss: 1.008572, acc: 0.328125] 32356: [discriminator loss: 0.580257, acc: 0.664062] [adversarial loss: 1.678007, acc: 0.078125] 32357: [discriminator loss: 0.522813, acc: 0.718750] [adversarial loss: 0.882247, acc: 0.484375] 32358: [discriminator loss: 0.574543, acc: 0.664062] [adversarial loss: 1.781945, acc: 0.078125] 32359: [discriminator loss: 0.439063, acc: 0.757812] [adversarial loss: 0.914076, acc: 0.562500] 32360: [discriminator loss: 0.536467, acc: 0.734375] [adversarial loss: 1.378998, acc: 0.281250] 32361: [discriminator loss: 0.544898, acc: 0.695312] [adversarial loss: 1.108934, acc: 0.265625] 32362: [discriminator loss: 0.503750, acc: 0.773438] [adversarial loss: 1.525256, acc: 0.140625] 32363: [discriminator loss: 0.556958, acc: 0.687500] [adversarial loss: 1.317148, acc: 0.218750] 32364: [discriminator loss: 0.483699, acc: 0.765625] [adversarial loss: 1.260286, acc: 0.328125] 32365: [discriminator loss: 0.525246, acc: 0.710938] [adversarial loss: 1.056732, acc: 0.343750] 32366: [discriminator loss: 0.537164, acc: 0.726562] [adversarial loss: 1.351281, acc: 0.265625] 32367: [discriminator loss: 0.566531, acc: 0.750000] [adversarial loss: 1.423733, acc: 0.156250] 32368: [discriminator loss: 0.556062, acc: 0.710938] [adversarial loss: 1.137057, acc: 0.343750] 32369: [discriminator loss: 0.522690, acc: 0.734375] [adversarial loss: 1.321436, acc: 0.234375] 32370: [discriminator loss: 0.487386, acc: 0.750000] [adversarial loss: 1.214095, acc: 0.296875] 32371: [discriminator loss: 0.537476, acc: 0.781250] [adversarial loss: 1.292612, acc: 0.265625] 32372: [discriminator loss: 0.458543, acc: 0.773438] [adversarial loss: 1.839386, acc: 0.078125] 32373: [discriminator loss: 0.530726, acc: 0.703125] [adversarial loss: 1.016599, acc: 0.328125] 32374: [discriminator loss: 0.483024, acc: 0.757812] [adversarial loss: 1.466542, acc: 0.187500] 32375: [discriminator loss: 0.541640, acc: 0.671875] [adversarial loss: 1.049934, acc: 0.359375] 32376: [discriminator loss: 0.502068, acc: 0.734375] [adversarial loss: 1.332541, acc: 0.312500] 32377: [discriminator loss: 0.518330, acc: 0.765625] [adversarial loss: 1.102282, acc: 0.375000] 32378: [discriminator loss: 0.492586, acc: 0.703125] [adversarial loss: 0.977510, acc: 0.453125] 32379: [discriminator loss: 0.487535, acc: 0.750000] [adversarial loss: 1.360384, acc: 0.203125] 32380: [discriminator loss: 0.506688, acc: 0.765625] [adversarial loss: 1.378056, acc: 0.265625] 32381: [discriminator loss: 0.543035, acc: 0.695312] [adversarial loss: 1.037633, acc: 0.390625] 32382: [discriminator loss: 0.470723, acc: 0.796875] [adversarial loss: 1.505612, acc: 0.218750] 32383: [discriminator loss: 0.562288, acc: 0.687500] [adversarial loss: 1.049877, acc: 0.406250] 32384: [discriminator loss: 0.558641, acc: 0.648438] [adversarial loss: 2.163683, acc: 0.078125] 32385: [discriminator loss: 0.610805, acc: 0.695312] [adversarial loss: 0.767879, acc: 0.562500] 32386: [discriminator loss: 0.539734, acc: 0.726562] [adversarial loss: 1.598744, acc: 0.140625] 32387: [discriminator loss: 0.516946, acc: 0.742188] [adversarial loss: 1.120046, acc: 0.359375] 32388: [discriminator loss: 0.595151, acc: 0.648438] [adversarial loss: 1.314820, acc: 0.218750] 32389: [discriminator loss: 0.579778, acc: 0.695312] [adversarial loss: 1.065225, acc: 0.437500] 32390: [discriminator loss: 0.596986, acc: 0.726562] [adversarial loss: 1.609146, acc: 0.093750] 32391: [discriminator loss: 0.420540, acc: 0.804688] [adversarial loss: 1.008301, acc: 0.390625] 32392: [discriminator loss: 0.510349, acc: 0.703125] [adversarial loss: 1.582944, acc: 0.109375] 32393: [discriminator loss: 0.568268, acc: 0.679688] [adversarial loss: 0.887641, acc: 0.406250] 32394: [discriminator loss: 0.558516, acc: 0.703125] [adversarial loss: 1.344596, acc: 0.218750] 32395: [discriminator loss: 0.524997, acc: 0.695312] [adversarial loss: 1.202093, acc: 0.296875] 32396: [discriminator loss: 0.487795, acc: 0.742188] [adversarial loss: 1.381902, acc: 0.218750] 32397: [discriminator loss: 0.560006, acc: 0.726562] [adversarial loss: 1.545694, acc: 0.093750] 32398: [discriminator loss: 0.508111, acc: 0.742188] [adversarial loss: 0.842563, acc: 0.500000] 32399: [discriminator loss: 0.514367, acc: 0.742188] [adversarial loss: 1.668512, acc: 0.125000] 32400: [discriminator loss: 0.559553, acc: 0.687500] [adversarial loss: 0.883098, acc: 0.421875] 32401: [discriminator loss: 0.495360, acc: 0.757812] [adversarial loss: 1.698084, acc: 0.062500] 32402: [discriminator loss: 0.478879, acc: 0.750000] [adversarial loss: 1.031032, acc: 0.359375] 32403: [discriminator loss: 0.432802, acc: 0.812500] [adversarial loss: 1.475184, acc: 0.187500] 32404: [discriminator loss: 0.488938, acc: 0.765625] [adversarial loss: 0.877583, acc: 0.484375] 32405: [discriminator loss: 0.467203, acc: 0.796875] [adversarial loss: 1.433197, acc: 0.171875] 32406: [discriminator loss: 0.446295, acc: 0.789062] [adversarial loss: 0.880427, acc: 0.515625] 32407: [discriminator loss: 0.466295, acc: 0.742188] [adversarial loss: 1.842854, acc: 0.125000] 32408: [discriminator loss: 0.547271, acc: 0.726562] [adversarial loss: 0.961038, acc: 0.421875] 32409: [discriminator loss: 0.510402, acc: 0.734375] [adversarial loss: 1.646594, acc: 0.109375] 32410: [discriminator loss: 0.543703, acc: 0.726562] [adversarial loss: 1.274416, acc: 0.312500] 32411: [discriminator loss: 0.608713, acc: 0.734375] [adversarial loss: 1.633665, acc: 0.093750] 32412: [discriminator loss: 0.494790, acc: 0.773438] [adversarial loss: 1.219557, acc: 0.390625] 32413: [discriminator loss: 0.588983, acc: 0.671875] [adversarial loss: 1.167888, acc: 0.375000] 32414: [discriminator loss: 0.499979, acc: 0.773438] [adversarial loss: 1.210892, acc: 0.265625] 32415: [discriminator loss: 0.478197, acc: 0.734375] [adversarial loss: 0.945039, acc: 0.484375] 32416: [discriminator loss: 0.480431, acc: 0.781250] [adversarial loss: 1.195333, acc: 0.312500] 32417: [discriminator loss: 0.480832, acc: 0.781250] [adversarial loss: 1.065374, acc: 0.359375] 32418: [discriminator loss: 0.506493, acc: 0.750000] [adversarial loss: 1.628186, acc: 0.140625] 32419: [discriminator loss: 0.555124, acc: 0.726562] [adversarial loss: 1.052807, acc: 0.328125] 32420: [discriminator loss: 0.537281, acc: 0.734375] [adversarial loss: 1.661834, acc: 0.140625] 32421: [discriminator loss: 0.625116, acc: 0.671875] [adversarial loss: 1.006248, acc: 0.343750] 32422: [discriminator loss: 0.538679, acc: 0.710938] [adversarial loss: 1.622905, acc: 0.140625] 32423: [discriminator loss: 0.543792, acc: 0.742188] [adversarial loss: 1.143492, acc: 0.359375] 32424: [discriminator loss: 0.590552, acc: 0.656250] [adversarial loss: 1.405595, acc: 0.187500] 32425: [discriminator loss: 0.493220, acc: 0.765625] [adversarial loss: 0.981214, acc: 0.359375] 32426: [discriminator loss: 0.540893, acc: 0.726562] [adversarial loss: 1.386922, acc: 0.203125] 32427: [discriminator loss: 0.514484, acc: 0.710938] [adversarial loss: 0.927614, acc: 0.468750] 32428: [discriminator loss: 0.585442, acc: 0.648438] [adversarial loss: 1.546266, acc: 0.187500] 32429: [discriminator loss: 0.552904, acc: 0.695312] [adversarial loss: 1.167390, acc: 0.343750] 32430: [discriminator loss: 0.531534, acc: 0.750000] [adversarial loss: 1.402080, acc: 0.250000] 32431: [discriminator loss: 0.515622, acc: 0.734375] [adversarial loss: 1.226651, acc: 0.312500] 32432: [discriminator loss: 0.586396, acc: 0.679688] [adversarial loss: 1.493035, acc: 0.171875] 32433: [discriminator loss: 0.503260, acc: 0.742188] [adversarial loss: 1.053000, acc: 0.468750] 32434: [discriminator loss: 0.527287, acc: 0.734375] [adversarial loss: 1.320842, acc: 0.203125] 32435: [discriminator loss: 0.559652, acc: 0.703125] [adversarial loss: 1.183574, acc: 0.343750] 32436: [discriminator loss: 0.528388, acc: 0.710938] [adversarial loss: 1.520369, acc: 0.156250] 32437: [discriminator loss: 0.515092, acc: 0.742188] [adversarial loss: 1.579263, acc: 0.078125] 32438: [discriminator loss: 0.488293, acc: 0.726562] [adversarial loss: 0.979873, acc: 0.375000] 32439: [discriminator loss: 0.528682, acc: 0.703125] [adversarial loss: 1.632503, acc: 0.109375] 32440: [discriminator loss: 0.555027, acc: 0.703125] [adversarial loss: 0.988465, acc: 0.390625] 32441: [discriminator loss: 0.655273, acc: 0.687500] [adversarial loss: 1.884182, acc: 0.062500] 32442: [discriminator loss: 0.545387, acc: 0.718750] [adversarial loss: 0.820912, acc: 0.515625] 32443: [discriminator loss: 0.573906, acc: 0.695312] [adversarial loss: 1.538811, acc: 0.062500] 32444: [discriminator loss: 0.532186, acc: 0.703125] [adversarial loss: 0.874764, acc: 0.468750] 32445: [discriminator loss: 0.546730, acc: 0.703125] [adversarial loss: 1.523828, acc: 0.187500] 32446: [discriminator loss: 0.502409, acc: 0.718750] [adversarial loss: 1.270394, acc: 0.281250] 32447: [discriminator loss: 0.477070, acc: 0.750000] [adversarial loss: 1.472291, acc: 0.250000] 32448: [discriminator loss: 0.569709, acc: 0.710938] [adversarial loss: 1.255464, acc: 0.265625] 32449: [discriminator loss: 0.477475, acc: 0.773438] [adversarial loss: 1.293380, acc: 0.265625] 32450: [discriminator loss: 0.509113, acc: 0.757812] [adversarial loss: 1.503498, acc: 0.218750] 32451: [discriminator loss: 0.662316, acc: 0.640625] [adversarial loss: 0.920883, acc: 0.437500] 32452: [discriminator loss: 0.546079, acc: 0.726562] [adversarial loss: 1.363065, acc: 0.156250] 32453: [discriminator loss: 0.478139, acc: 0.804688] [adversarial loss: 1.127337, acc: 0.375000] 32454: [discriminator loss: 0.522026, acc: 0.718750] [adversarial loss: 1.406919, acc: 0.171875] 32455: [discriminator loss: 0.499416, acc: 0.757812] [adversarial loss: 1.111188, acc: 0.359375] 32456: [discriminator loss: 0.518395, acc: 0.710938] [adversarial loss: 1.465406, acc: 0.203125] 32457: [discriminator loss: 0.578462, acc: 0.695312] [adversarial loss: 1.385832, acc: 0.203125] 32458: [discriminator loss: 0.481561, acc: 0.804688] [adversarial loss: 1.218522, acc: 0.296875] 32459: [discriminator loss: 0.426534, acc: 0.781250] [adversarial loss: 1.308809, acc: 0.156250] 32460: [discriminator loss: 0.506388, acc: 0.726562] [adversarial loss: 0.999118, acc: 0.390625] 32461: [discriminator loss: 0.519752, acc: 0.734375] [adversarial loss: 1.811546, acc: 0.109375] 32462: [discriminator loss: 0.525977, acc: 0.695312] [adversarial loss: 0.776431, acc: 0.531250] 32463: [discriminator loss: 0.611687, acc: 0.695312] [adversarial loss: 1.469160, acc: 0.203125] 32464: [discriminator loss: 0.539769, acc: 0.710938] [adversarial loss: 0.918594, acc: 0.406250] 32465: [discriminator loss: 0.438110, acc: 0.820312] [adversarial loss: 1.192847, acc: 0.296875] 32466: [discriminator loss: 0.507683, acc: 0.742188] [adversarial loss: 1.245196, acc: 0.218750] 32467: [discriminator loss: 0.514465, acc: 0.742188] [adversarial loss: 1.242959, acc: 0.281250] 32468: [discriminator loss: 0.469920, acc: 0.742188] [adversarial loss: 1.457838, acc: 0.156250] 32469: [discriminator loss: 0.484497, acc: 0.773438] [adversarial loss: 1.245762, acc: 0.296875] 32470: [discriminator loss: 0.505575, acc: 0.718750] [adversarial loss: 1.091679, acc: 0.250000] 32471: [discriminator loss: 0.506397, acc: 0.742188] [adversarial loss: 1.369474, acc: 0.203125] 32472: [discriminator loss: 0.476816, acc: 0.765625] [adversarial loss: 1.118779, acc: 0.359375] 32473: [discriminator loss: 0.501670, acc: 0.734375] [adversarial loss: 1.200072, acc: 0.296875] 32474: [discriminator loss: 0.522530, acc: 0.718750] [adversarial loss: 0.955367, acc: 0.468750] 32475: [discriminator loss: 0.557283, acc: 0.718750] [adversarial loss: 1.746921, acc: 0.078125] 32476: [discriminator loss: 0.633363, acc: 0.617188] [adversarial loss: 0.966634, acc: 0.453125] 32477: [discriminator loss: 0.515672, acc: 0.757812] [adversarial loss: 1.627830, acc: 0.140625] 32478: [discriminator loss: 0.575504, acc: 0.718750] [adversarial loss: 1.137872, acc: 0.312500] 32479: [discriminator loss: 0.479463, acc: 0.750000] [adversarial loss: 1.347800, acc: 0.234375] 32480: [discriminator loss: 0.521431, acc: 0.757812] [adversarial loss: 1.162453, acc: 0.250000] 32481: [discriminator loss: 0.526814, acc: 0.750000] [adversarial loss: 1.329081, acc: 0.171875] 32482: [discriminator loss: 0.531972, acc: 0.718750] [adversarial loss: 1.238794, acc: 0.343750] 32483: [discriminator loss: 0.505612, acc: 0.773438] [adversarial loss: 1.302596, acc: 0.312500] 32484: [discriminator loss: 0.585832, acc: 0.695312] [adversarial loss: 1.297828, acc: 0.281250] 32485: [discriminator loss: 0.528925, acc: 0.734375] [adversarial loss: 1.128976, acc: 0.390625] 32486: [discriminator loss: 0.488860, acc: 0.757812] [adversarial loss: 1.210710, acc: 0.296875] 32487: [discriminator loss: 0.592546, acc: 0.640625] [adversarial loss: 1.107912, acc: 0.359375] 32488: [discriminator loss: 0.454232, acc: 0.789062] [adversarial loss: 1.638091, acc: 0.109375] 32489: [discriminator loss: 0.516236, acc: 0.750000] [adversarial loss: 1.147643, acc: 0.359375] 32490: [discriminator loss: 0.554841, acc: 0.726562] [adversarial loss: 1.373717, acc: 0.203125] 32491: [discriminator loss: 0.590233, acc: 0.632812] [adversarial loss: 1.038877, acc: 0.375000] 32492: [discriminator loss: 0.497253, acc: 0.765625] [adversarial loss: 1.681699, acc: 0.078125] 32493: [discriminator loss: 0.501257, acc: 0.726562] [adversarial loss: 0.813966, acc: 0.515625] 32494: [discriminator loss: 0.586600, acc: 0.671875] [adversarial loss: 1.878041, acc: 0.109375] 32495: [discriminator loss: 0.583289, acc: 0.640625] [adversarial loss: 0.892246, acc: 0.484375] 32496: [discriminator loss: 0.546123, acc: 0.703125] [adversarial loss: 1.446748, acc: 0.234375] 32497: [discriminator loss: 0.488099, acc: 0.726562] [adversarial loss: 1.163076, acc: 0.390625] 32498: [discriminator loss: 0.571221, acc: 0.710938] [adversarial loss: 1.027199, acc: 0.328125] 32499: [discriminator loss: 0.482149, acc: 0.789062] [adversarial loss: 1.281581, acc: 0.250000] 32500: [discriminator loss: 0.570102, acc: 0.726562] [adversarial loss: 1.091296, acc: 0.343750] 32501: [discriminator loss: 0.536187, acc: 0.734375] [adversarial loss: 1.494602, acc: 0.203125] 32502: [discriminator loss: 0.500364, acc: 0.718750] [adversarial loss: 0.931463, acc: 0.343750] 32503: [discriminator loss: 0.557503, acc: 0.750000] [adversarial loss: 1.350621, acc: 0.171875] 32504: [discriminator loss: 0.510754, acc: 0.671875] [adversarial loss: 1.269433, acc: 0.156250] 32505: [discriminator loss: 0.503824, acc: 0.742188] [adversarial loss: 1.425126, acc: 0.171875] 32506: [discriminator loss: 0.533475, acc: 0.734375] [adversarial loss: 1.214239, acc: 0.312500] 32507: [discriminator loss: 0.550580, acc: 0.718750] [adversarial loss: 1.241082, acc: 0.203125] 32508: [discriminator loss: 0.577855, acc: 0.703125] [adversarial loss: 1.196693, acc: 0.250000] 32509: [discriminator loss: 0.559970, acc: 0.734375] [adversarial loss: 1.155759, acc: 0.265625] 32510: [discriminator loss: 0.511968, acc: 0.757812] [adversarial loss: 1.659166, acc: 0.078125] 32511: [discriminator loss: 0.464729, acc: 0.781250] [adversarial loss: 0.988720, acc: 0.390625] 32512: [discriminator loss: 0.489513, acc: 0.773438] [adversarial loss: 1.470040, acc: 0.093750] 32513: [discriminator loss: 0.553645, acc: 0.695312] [adversarial loss: 0.703027, acc: 0.703125] 32514: [discriminator loss: 0.637418, acc: 0.648438] [adversarial loss: 1.777501, acc: 0.156250] 32515: [discriminator loss: 0.542364, acc: 0.710938] [adversarial loss: 1.074046, acc: 0.312500] 32516: [discriminator loss: 0.549659, acc: 0.734375] [adversarial loss: 1.384387, acc: 0.218750] 32517: [discriminator loss: 0.513261, acc: 0.734375] [adversarial loss: 1.255800, acc: 0.312500] 32518: [discriminator loss: 0.529714, acc: 0.679688] [adversarial loss: 1.141857, acc: 0.328125] 32519: [discriminator loss: 0.622525, acc: 0.648438] [adversarial loss: 1.182188, acc: 0.281250] 32520: [discriminator loss: 0.465122, acc: 0.781250] [adversarial loss: 1.292073, acc: 0.296875] 32521: [discriminator loss: 0.555797, acc: 0.710938] [adversarial loss: 1.532184, acc: 0.156250] 32522: [discriminator loss: 0.476586, acc: 0.773438] [adversarial loss: 1.075619, acc: 0.281250] 32523: [discriminator loss: 0.554992, acc: 0.695312] [adversarial loss: 1.408107, acc: 0.187500] 32524: [discriminator loss: 0.521863, acc: 0.695312] [adversarial loss: 0.951551, acc: 0.406250] 32525: [discriminator loss: 0.526254, acc: 0.718750] [adversarial loss: 1.411451, acc: 0.171875] 32526: [discriminator loss: 0.508514, acc: 0.757812] [adversarial loss: 1.083005, acc: 0.328125] 32527: [discriminator loss: 0.525804, acc: 0.765625] [adversarial loss: 0.920833, acc: 0.390625] 32528: [discriminator loss: 0.467741, acc: 0.796875] [adversarial loss: 1.478076, acc: 0.187500] 32529: [discriminator loss: 0.506403, acc: 0.734375] [adversarial loss: 1.163944, acc: 0.250000] 32530: [discriminator loss: 0.515331, acc: 0.718750] [adversarial loss: 1.516203, acc: 0.140625] 32531: [discriminator loss: 0.599609, acc: 0.671875] [adversarial loss: 1.383593, acc: 0.203125] 32532: [discriminator loss: 0.525468, acc: 0.710938] [adversarial loss: 1.272132, acc: 0.265625] 32533: [discriminator loss: 0.491725, acc: 0.835938] [adversarial loss: 1.192452, acc: 0.265625] 32534: [discriminator loss: 0.549537, acc: 0.750000] [adversarial loss: 1.143935, acc: 0.250000] 32535: [discriminator loss: 0.477444, acc: 0.757812] [adversarial loss: 1.253099, acc: 0.265625] 32536: [discriminator loss: 0.547448, acc: 0.734375] [adversarial loss: 1.382075, acc: 0.250000] 32537: [discriminator loss: 0.486813, acc: 0.789062] [adversarial loss: 1.258510, acc: 0.312500] 32538: [discriminator loss: 0.489299, acc: 0.765625] [adversarial loss: 1.148174, acc: 0.359375] 32539: [discriminator loss: 0.526974, acc: 0.734375] [adversarial loss: 1.473447, acc: 0.156250] 32540: [discriminator loss: 0.555413, acc: 0.687500] [adversarial loss: 1.092058, acc: 0.343750] 32541: [discriminator loss: 0.485562, acc: 0.765625] [adversarial loss: 1.384369, acc: 0.187500] 32542: [discriminator loss: 0.555510, acc: 0.710938] [adversarial loss: 1.259182, acc: 0.250000] 32543: [discriminator loss: 0.538494, acc: 0.765625] [adversarial loss: 1.307633, acc: 0.171875] 32544: [discriminator loss: 0.509317, acc: 0.742188] [adversarial loss: 1.336541, acc: 0.171875] 32545: [discriminator loss: 0.423995, acc: 0.812500] [adversarial loss: 1.074260, acc: 0.328125] 32546: [discriminator loss: 0.550695, acc: 0.742188] [adversarial loss: 1.681283, acc: 0.109375] 32547: [discriminator loss: 0.484720, acc: 0.781250] [adversarial loss: 0.901315, acc: 0.468750] 32548: [discriminator loss: 0.549120, acc: 0.687500] [adversarial loss: 1.730451, acc: 0.062500] 32549: [discriminator loss: 0.641996, acc: 0.648438] [adversarial loss: 1.093056, acc: 0.281250] 32550: [discriminator loss: 0.588221, acc: 0.671875] [adversarial loss: 1.181666, acc: 0.296875] 32551: [discriminator loss: 0.485553, acc: 0.750000] [adversarial loss: 0.868538, acc: 0.406250] 32552: [discriminator loss: 0.518069, acc: 0.726562] [adversarial loss: 1.171141, acc: 0.218750] 32553: [discriminator loss: 0.505462, acc: 0.757812] [adversarial loss: 1.197215, acc: 0.312500] 32554: [discriminator loss: 0.566085, acc: 0.703125] [adversarial loss: 0.998851, acc: 0.375000] 32555: [discriminator loss: 0.514082, acc: 0.664062] [adversarial loss: 1.420866, acc: 0.125000] 32556: [discriminator loss: 0.506843, acc: 0.742188] [adversarial loss: 0.969419, acc: 0.468750] 32557: [discriminator loss: 0.528580, acc: 0.687500] [adversarial loss: 1.651506, acc: 0.078125] 32558: [discriminator loss: 0.565990, acc: 0.703125] [adversarial loss: 0.821175, acc: 0.531250] 32559: [discriminator loss: 0.490522, acc: 0.734375] [adversarial loss: 1.673586, acc: 0.093750] 32560: [discriminator loss: 0.577071, acc: 0.695312] [adversarial loss: 0.840867, acc: 0.468750] 32561: [discriminator loss: 0.474992, acc: 0.742188] [adversarial loss: 1.445489, acc: 0.171875] 32562: [discriminator loss: 0.584849, acc: 0.656250] [adversarial loss: 1.021855, acc: 0.343750] 32563: [discriminator loss: 0.485108, acc: 0.765625] [adversarial loss: 1.453456, acc: 0.140625] 32564: [discriminator loss: 0.489016, acc: 0.742188] [adversarial loss: 1.151202, acc: 0.265625] 32565: [discriminator loss: 0.486553, acc: 0.734375] [adversarial loss: 1.604371, acc: 0.093750] 32566: [discriminator loss: 0.572254, acc: 0.687500] [adversarial loss: 0.955333, acc: 0.406250] 32567: [discriminator loss: 0.491784, acc: 0.765625] [adversarial loss: 1.497962, acc: 0.109375] 32568: [discriminator loss: 0.481530, acc: 0.781250] [adversarial loss: 1.122986, acc: 0.359375] 32569: [discriminator loss: 0.512755, acc: 0.742188] [adversarial loss: 1.482343, acc: 0.078125] 32570: [discriminator loss: 0.518138, acc: 0.687500] [adversarial loss: 1.130851, acc: 0.265625] 32571: [discriminator loss: 0.478949, acc: 0.757812] [adversarial loss: 1.363426, acc: 0.187500] 32572: [discriminator loss: 0.520678, acc: 0.750000] [adversarial loss: 0.986856, acc: 0.515625] 32573: [discriminator loss: 0.562365, acc: 0.695312] [adversarial loss: 2.050077, acc: 0.015625] 32574: [discriminator loss: 0.630823, acc: 0.656250] [adversarial loss: 0.809850, acc: 0.578125] 32575: [discriminator loss: 0.597203, acc: 0.632812] [adversarial loss: 1.549112, acc: 0.140625] 32576: [discriminator loss: 0.568445, acc: 0.679688] [adversarial loss: 0.884384, acc: 0.421875] 32577: [discriminator loss: 0.504140, acc: 0.765625] [adversarial loss: 1.644866, acc: 0.140625] 32578: [discriminator loss: 0.569555, acc: 0.687500] [adversarial loss: 1.156860, acc: 0.390625] 32579: [discriminator loss: 0.559557, acc: 0.734375] [adversarial loss: 1.369442, acc: 0.250000] 32580: [discriminator loss: 0.510297, acc: 0.789062] [adversarial loss: 1.513627, acc: 0.203125] 32581: [discriminator loss: 0.429895, acc: 0.820312] [adversarial loss: 1.109529, acc: 0.265625] 32582: [discriminator loss: 0.538448, acc: 0.765625] [adversarial loss: 1.501428, acc: 0.140625] 32583: [discriminator loss: 0.494238, acc: 0.765625] [adversarial loss: 1.174860, acc: 0.296875] 32584: [discriminator loss: 0.526687, acc: 0.718750] [adversarial loss: 0.949961, acc: 0.437500] 32585: [discriminator loss: 0.512610, acc: 0.718750] [adversarial loss: 1.431320, acc: 0.203125] 32586: [discriminator loss: 0.518976, acc: 0.750000] [adversarial loss: 1.074557, acc: 0.265625] 32587: [discriminator loss: 0.578395, acc: 0.664062] [adversarial loss: 1.849001, acc: 0.078125] 32588: [discriminator loss: 0.603747, acc: 0.656250] [adversarial loss: 0.959208, acc: 0.406250] 32589: [discriminator loss: 0.578131, acc: 0.703125] [adversarial loss: 1.372318, acc: 0.187500] 32590: [discriminator loss: 0.461212, acc: 0.789062] [adversarial loss: 1.061895, acc: 0.359375] 32591: [discriminator loss: 0.542911, acc: 0.710938] [adversarial loss: 1.498031, acc: 0.171875] 32592: [discriminator loss: 0.522057, acc: 0.734375] [adversarial loss: 1.014536, acc: 0.390625] 32593: [discriminator loss: 0.551840, acc: 0.726562] [adversarial loss: 1.272162, acc: 0.203125] 32594: [discriminator loss: 0.522789, acc: 0.718750] [adversarial loss: 1.179659, acc: 0.265625] 32595: [discriminator loss: 0.553723, acc: 0.679688] [adversarial loss: 1.236159, acc: 0.218750] 32596: [discriminator loss: 0.511516, acc: 0.750000] [adversarial loss: 1.013967, acc: 0.296875] 32597: [discriminator loss: 0.484094, acc: 0.757812] [adversarial loss: 1.405449, acc: 0.250000] 32598: [discriminator loss: 0.502342, acc: 0.742188] [adversarial loss: 0.975985, acc: 0.375000] 32599: [discriminator loss: 0.537036, acc: 0.750000] [adversarial loss: 1.810487, acc: 0.140625] 32600: [discriminator loss: 0.528057, acc: 0.750000] [adversarial loss: 1.112677, acc: 0.359375] 32601: [discriminator loss: 0.534104, acc: 0.742188] [adversarial loss: 1.512964, acc: 0.109375] 32602: [discriminator loss: 0.485570, acc: 0.710938] [adversarial loss: 0.819371, acc: 0.562500] 32603: [discriminator loss: 0.575992, acc: 0.765625] [adversarial loss: 1.978158, acc: 0.046875] 32604: [discriminator loss: 0.637685, acc: 0.687500] [adversarial loss: 0.676919, acc: 0.625000] 32605: [discriminator loss: 0.580738, acc: 0.695312] [adversarial loss: 1.879553, acc: 0.062500] 32606: [discriminator loss: 0.631256, acc: 0.656250] [adversarial loss: 1.010742, acc: 0.375000] 32607: [discriminator loss: 0.483038, acc: 0.773438] [adversarial loss: 1.391935, acc: 0.281250] 32608: [discriminator loss: 0.570140, acc: 0.703125] [adversarial loss: 1.218455, acc: 0.250000] 32609: [discriminator loss: 0.509318, acc: 0.718750] [adversarial loss: 1.341810, acc: 0.187500] 32610: [discriminator loss: 0.545330, acc: 0.710938] [adversarial loss: 1.201933, acc: 0.234375] 32611: [discriminator loss: 0.475370, acc: 0.820312] [adversarial loss: 1.314044, acc: 0.218750] 32612: [discriminator loss: 0.572878, acc: 0.664062] [adversarial loss: 1.286948, acc: 0.156250] 32613: [discriminator loss: 0.524591, acc: 0.734375] [adversarial loss: 1.278902, acc: 0.312500] 32614: [discriminator loss: 0.492542, acc: 0.757812] [adversarial loss: 1.425322, acc: 0.250000] 32615: [discriminator loss: 0.547368, acc: 0.726562] [adversarial loss: 1.422736, acc: 0.125000] 32616: [discriminator loss: 0.535691, acc: 0.710938] [adversarial loss: 1.066089, acc: 0.343750] 32617: [discriminator loss: 0.502034, acc: 0.718750] [adversarial loss: 1.268463, acc: 0.187500] 32618: [discriminator loss: 0.529826, acc: 0.695312] [adversarial loss: 1.006918, acc: 0.421875] 32619: [discriminator loss: 0.553320, acc: 0.679688] [adversarial loss: 1.682877, acc: 0.078125] 32620: [discriminator loss: 0.561846, acc: 0.656250] [adversarial loss: 0.865831, acc: 0.484375] 32621: [discriminator loss: 0.489485, acc: 0.773438] [adversarial loss: 1.348849, acc: 0.171875] 32622: [discriminator loss: 0.553461, acc: 0.726562] [adversarial loss: 1.302030, acc: 0.328125] 32623: [discriminator loss: 0.534605, acc: 0.718750] [adversarial loss: 1.158618, acc: 0.312500] 32624: [discriminator loss: 0.516015, acc: 0.742188] [adversarial loss: 1.288886, acc: 0.281250] 32625: [discriminator loss: 0.529921, acc: 0.734375] [adversarial loss: 1.164950, acc: 0.250000] 32626: [discriminator loss: 0.529212, acc: 0.718750] [adversarial loss: 1.514910, acc: 0.171875] 32627: [discriminator loss: 0.527754, acc: 0.718750] [adversarial loss: 0.956896, acc: 0.453125] 32628: [discriminator loss: 0.491744, acc: 0.765625] [adversarial loss: 1.689562, acc: 0.109375] 32629: [discriminator loss: 0.532095, acc: 0.710938] [adversarial loss: 0.986801, acc: 0.343750] 32630: [discriminator loss: 0.559968, acc: 0.757812] [adversarial loss: 1.555032, acc: 0.140625] 32631: [discriminator loss: 0.551798, acc: 0.734375] [adversarial loss: 0.920451, acc: 0.484375] 32632: [discriminator loss: 0.559039, acc: 0.687500] [adversarial loss: 1.490575, acc: 0.046875] 32633: [discriminator loss: 0.550800, acc: 0.687500] [adversarial loss: 0.917856, acc: 0.437500] 32634: [discriminator loss: 0.483720, acc: 0.773438] [adversarial loss: 1.590753, acc: 0.125000] 32635: [discriminator loss: 0.574461, acc: 0.695312] [adversarial loss: 1.019991, acc: 0.343750] 32636: [discriminator loss: 0.570301, acc: 0.648438] [adversarial loss: 1.372937, acc: 0.203125] 32637: [discriminator loss: 0.515921, acc: 0.710938] [adversarial loss: 1.174757, acc: 0.312500] 32638: [discriminator loss: 0.587829, acc: 0.687500] [adversarial loss: 1.257337, acc: 0.218750] 32639: [discriminator loss: 0.572914, acc: 0.710938] [adversarial loss: 1.101077, acc: 0.234375] 32640: [discriminator loss: 0.429060, acc: 0.828125] [adversarial loss: 1.286769, acc: 0.218750] 32641: [discriminator loss: 0.568994, acc: 0.734375] [adversarial loss: 1.048950, acc: 0.312500] 32642: [discriminator loss: 0.547044, acc: 0.679688] [adversarial loss: 1.479054, acc: 0.140625] 32643: [discriminator loss: 0.476942, acc: 0.789062] [adversarial loss: 0.722731, acc: 0.578125] 32644: [discriminator loss: 0.577817, acc: 0.687500] [adversarial loss: 1.648645, acc: 0.109375] 32645: [discriminator loss: 0.596610, acc: 0.695312] [adversarial loss: 0.869407, acc: 0.484375] 32646: [discriminator loss: 0.547571, acc: 0.679688] [adversarial loss: 1.414499, acc: 0.156250] 32647: [discriminator loss: 0.510956, acc: 0.757812] [adversarial loss: 1.127531, acc: 0.359375] 32648: [discriminator loss: 0.551387, acc: 0.726562] [adversarial loss: 1.855392, acc: 0.062500] 32649: [discriminator loss: 0.579904, acc: 0.695312] [adversarial loss: 0.877579, acc: 0.468750] 32650: [discriminator loss: 0.529885, acc: 0.726562] [adversarial loss: 1.595503, acc: 0.109375] 32651: [discriminator loss: 0.538577, acc: 0.734375] [adversarial loss: 0.947579, acc: 0.390625] 32652: [discriminator loss: 0.464981, acc: 0.796875] [adversarial loss: 1.601733, acc: 0.078125] 32653: [discriminator loss: 0.616949, acc: 0.640625] [adversarial loss: 1.251207, acc: 0.296875] 32654: [discriminator loss: 0.486239, acc: 0.773438] [adversarial loss: 1.349560, acc: 0.203125] 32655: [discriminator loss: 0.524231, acc: 0.757812] [adversarial loss: 1.400771, acc: 0.187500] 32656: [discriminator loss: 0.476841, acc: 0.765625] [adversarial loss: 1.019569, acc: 0.296875] 32657: [discriminator loss: 0.526085, acc: 0.718750] [adversarial loss: 1.311579, acc: 0.281250] 32658: [discriminator loss: 0.462690, acc: 0.757812] [adversarial loss: 0.980669, acc: 0.390625] 32659: [discriminator loss: 0.481596, acc: 0.773438] [adversarial loss: 1.552427, acc: 0.187500] 32660: [discriminator loss: 0.547772, acc: 0.718750] [adversarial loss: 1.498720, acc: 0.187500] 32661: [discriminator loss: 0.541459, acc: 0.726562] [adversarial loss: 1.523078, acc: 0.093750] 32662: [discriminator loss: 0.622156, acc: 0.687500] [adversarial loss: 0.797177, acc: 0.578125] 32663: [discriminator loss: 0.643448, acc: 0.664062] [adversarial loss: 1.841704, acc: 0.046875] 32664: [discriminator loss: 0.540701, acc: 0.703125] [adversarial loss: 0.896118, acc: 0.453125] 32665: [discriminator loss: 0.576158, acc: 0.648438] [adversarial loss: 1.433957, acc: 0.109375] 32666: [discriminator loss: 0.579427, acc: 0.679688] [adversarial loss: 1.262295, acc: 0.265625] 32667: [discriminator loss: 0.567380, acc: 0.710938] [adversarial loss: 1.458197, acc: 0.234375] 32668: [discriminator loss: 0.596483, acc: 0.726562] [adversarial loss: 1.275823, acc: 0.171875] 32669: [discriminator loss: 0.478005, acc: 0.796875] [adversarial loss: 0.862316, acc: 0.328125] 32670: [discriminator loss: 0.438825, acc: 0.828125] [adversarial loss: 1.132661, acc: 0.250000] 32671: [discriminator loss: 0.487011, acc: 0.765625] [adversarial loss: 0.990546, acc: 0.468750] 32672: [discriminator loss: 0.534167, acc: 0.726562] [adversarial loss: 1.514756, acc: 0.156250] 32673: [discriminator loss: 0.539385, acc: 0.687500] [adversarial loss: 0.776888, acc: 0.515625] 32674: [discriminator loss: 0.526402, acc: 0.742188] [adversarial loss: 1.594455, acc: 0.125000] 32675: [discriminator loss: 0.526387, acc: 0.734375] [adversarial loss: 0.940763, acc: 0.437500] 32676: [discriminator loss: 0.537110, acc: 0.734375] [adversarial loss: 1.854605, acc: 0.093750] 32677: [discriminator loss: 0.585475, acc: 0.750000] [adversarial loss: 0.923446, acc: 0.390625] 32678: [discriminator loss: 0.542574, acc: 0.718750] [adversarial loss: 1.462407, acc: 0.156250] 32679: [discriminator loss: 0.491737, acc: 0.742188] [adversarial loss: 0.956395, acc: 0.468750] 32680: [discriminator loss: 0.525263, acc: 0.734375] [adversarial loss: 1.584800, acc: 0.156250] 32681: [discriminator loss: 0.497997, acc: 0.726562] [adversarial loss: 1.026362, acc: 0.375000] 32682: [discriminator loss: 0.513531, acc: 0.757812] [adversarial loss: 1.608445, acc: 0.203125] 32683: [discriminator loss: 0.543274, acc: 0.734375] [adversarial loss: 1.040324, acc: 0.390625] 32684: [discriminator loss: 0.601294, acc: 0.671875] [adversarial loss: 1.661053, acc: 0.140625] 32685: [discriminator loss: 0.451922, acc: 0.796875] [adversarial loss: 1.103280, acc: 0.328125] 32686: [discriminator loss: 0.506329, acc: 0.742188] [adversarial loss: 1.640271, acc: 0.093750] 32687: [discriminator loss: 0.556660, acc: 0.703125] [adversarial loss: 1.059224, acc: 0.312500] 32688: [discriminator loss: 0.499272, acc: 0.773438] [adversarial loss: 1.515384, acc: 0.078125] 32689: [discriminator loss: 0.524091, acc: 0.734375] [adversarial loss: 1.178904, acc: 0.218750] 32690: [discriminator loss: 0.484165, acc: 0.773438] [adversarial loss: 1.283167, acc: 0.265625] 32691: [discriminator loss: 0.510970, acc: 0.750000] [adversarial loss: 1.367124, acc: 0.234375] 32692: [discriminator loss: 0.578800, acc: 0.718750] [adversarial loss: 1.404572, acc: 0.203125] 32693: [discriminator loss: 0.486661, acc: 0.781250] [adversarial loss: 1.127373, acc: 0.234375] 32694: [discriminator loss: 0.495076, acc: 0.796875] [adversarial loss: 1.385534, acc: 0.171875] 32695: [discriminator loss: 0.514470, acc: 0.718750] [adversarial loss: 1.010393, acc: 0.328125] 32696: [discriminator loss: 0.492653, acc: 0.773438] [adversarial loss: 1.885473, acc: 0.046875] 32697: [discriminator loss: 0.521654, acc: 0.742188] [adversarial loss: 0.814105, acc: 0.531250] 32698: [discriminator loss: 0.576518, acc: 0.679688] [adversarial loss: 1.908105, acc: 0.078125] 32699: [discriminator loss: 0.516439, acc: 0.718750] [adversarial loss: 0.927888, acc: 0.328125] 32700: [discriminator loss: 0.491007, acc: 0.773438] [adversarial loss: 1.447983, acc: 0.171875] 32701: [discriminator loss: 0.511800, acc: 0.734375] [adversarial loss: 1.191033, acc: 0.265625] 32702: [discriminator loss: 0.514425, acc: 0.695312] [adversarial loss: 1.245386, acc: 0.265625] 32703: [discriminator loss: 0.453263, acc: 0.781250] [adversarial loss: 1.294681, acc: 0.281250] 32704: [discriminator loss: 0.493880, acc: 0.742188] [adversarial loss: 1.292819, acc: 0.140625] 32705: [discriminator loss: 0.478190, acc: 0.781250] [adversarial loss: 1.244644, acc: 0.218750] 32706: [discriminator loss: 0.507764, acc: 0.734375] [adversarial loss: 1.575920, acc: 0.125000] 32707: [discriminator loss: 0.528058, acc: 0.757812] [adversarial loss: 1.073140, acc: 0.359375] 32708: [discriminator loss: 0.527369, acc: 0.664062] [adversarial loss: 1.361767, acc: 0.156250] 32709: [discriminator loss: 0.479336, acc: 0.773438] [adversarial loss: 1.366315, acc: 0.171875] 32710: [discriminator loss: 0.479157, acc: 0.765625] [adversarial loss: 1.117241, acc: 0.390625] 32711: [discriminator loss: 0.542768, acc: 0.734375] [adversarial loss: 1.563955, acc: 0.125000] 32712: [discriminator loss: 0.510241, acc: 0.710938] [adversarial loss: 0.985529, acc: 0.406250] 32713: [discriminator loss: 0.528241, acc: 0.718750] [adversarial loss: 1.560689, acc: 0.156250] 32714: [discriminator loss: 0.543587, acc: 0.710938] [adversarial loss: 1.235873, acc: 0.343750] 32715: [discriminator loss: 0.534060, acc: 0.703125] [adversarial loss: 1.737371, acc: 0.187500] 32716: [discriminator loss: 0.552341, acc: 0.687500] [adversarial loss: 0.819579, acc: 0.484375] 32717: [discriminator loss: 0.556895, acc: 0.734375] [adversarial loss: 1.711033, acc: 0.078125] 32718: [discriminator loss: 0.570666, acc: 0.703125] [adversarial loss: 0.906904, acc: 0.468750] 32719: [discriminator loss: 0.570770, acc: 0.750000] [adversarial loss: 1.312375, acc: 0.171875] 32720: [discriminator loss: 0.424110, acc: 0.812500] [adversarial loss: 0.931625, acc: 0.500000] 32721: [discriminator loss: 0.512383, acc: 0.710938] [adversarial loss: 1.052639, acc: 0.296875] 32722: [discriminator loss: 0.490936, acc: 0.781250] [adversarial loss: 1.568871, acc: 0.109375] 32723: [discriminator loss: 0.519274, acc: 0.750000] [adversarial loss: 0.884357, acc: 0.500000] 32724: [discriminator loss: 0.501167, acc: 0.695312] [adversarial loss: 1.546602, acc: 0.140625] 32725: [discriminator loss: 0.527826, acc: 0.710938] [adversarial loss: 1.113891, acc: 0.312500] 32726: [discriminator loss: 0.519659, acc: 0.773438] [adversarial loss: 1.543598, acc: 0.171875] 32727: [discriminator loss: 0.475682, acc: 0.757812] [adversarial loss: 0.994115, acc: 0.406250] 32728: [discriminator loss: 0.433456, acc: 0.796875] [adversarial loss: 1.238192, acc: 0.296875] 32729: [discriminator loss: 0.566175, acc: 0.664062] [adversarial loss: 1.806426, acc: 0.078125] 32730: [discriminator loss: 0.559608, acc: 0.679688] [adversarial loss: 0.785082, acc: 0.484375] 32731: [discriminator loss: 0.537620, acc: 0.750000] [adversarial loss: 2.357976, acc: 0.062500] 32732: [discriminator loss: 0.631671, acc: 0.703125] [adversarial loss: 0.878815, acc: 0.546875] 32733: [discriminator loss: 0.528183, acc: 0.750000] [adversarial loss: 1.555959, acc: 0.171875] 32734: [discriminator loss: 0.531861, acc: 0.703125] [adversarial loss: 1.260893, acc: 0.218750] 32735: [discriminator loss: 0.512381, acc: 0.757812] [adversarial loss: 1.414541, acc: 0.187500] 32736: [discriminator loss: 0.575455, acc: 0.671875] [adversarial loss: 1.265180, acc: 0.265625] 32737: [discriminator loss: 0.490083, acc: 0.750000] [adversarial loss: 1.416098, acc: 0.187500] 32738: [discriminator loss: 0.545522, acc: 0.726562] [adversarial loss: 1.225240, acc: 0.343750] 32739: [discriminator loss: 0.456916, acc: 0.820312] [adversarial loss: 1.167268, acc: 0.312500] 32740: [discriminator loss: 0.501913, acc: 0.734375] [adversarial loss: 1.224192, acc: 0.265625] 32741: [discriminator loss: 0.455871, acc: 0.796875] [adversarial loss: 1.562692, acc: 0.187500] 32742: [discriminator loss: 0.499574, acc: 0.765625] [adversarial loss: 1.183248, acc: 0.250000] 32743: [discriminator loss: 0.515866, acc: 0.750000] [adversarial loss: 1.146217, acc: 0.312500] 32744: [discriminator loss: 0.532156, acc: 0.750000] [adversarial loss: 1.099103, acc: 0.390625] 32745: [discriminator loss: 0.499697, acc: 0.726562] [adversarial loss: 1.577710, acc: 0.218750] 32746: [discriminator loss: 0.508208, acc: 0.710938] [adversarial loss: 1.147648, acc: 0.328125] 32747: [discriminator loss: 0.493520, acc: 0.765625] [adversarial loss: 1.586044, acc: 0.187500] 32748: [discriminator loss: 0.544602, acc: 0.703125] [adversarial loss: 1.069220, acc: 0.375000] 32749: [discriminator loss: 0.535134, acc: 0.742188] [adversarial loss: 1.431321, acc: 0.171875] 32750: [discriminator loss: 0.520258, acc: 0.734375] [adversarial loss: 1.459385, acc: 0.109375] 32751: [discriminator loss: 0.509301, acc: 0.750000] [adversarial loss: 1.077277, acc: 0.375000] 32752: [discriminator loss: 0.494714, acc: 0.734375] [adversarial loss: 1.781456, acc: 0.046875] 32753: [discriminator loss: 0.541995, acc: 0.695312] [adversarial loss: 1.022591, acc: 0.359375] 32754: [discriminator loss: 0.477239, acc: 0.781250] [adversarial loss: 1.625946, acc: 0.109375] 32755: [discriminator loss: 0.571669, acc: 0.687500] [adversarial loss: 0.788804, acc: 0.484375] 32756: [discriminator loss: 0.481055, acc: 0.773438] [adversarial loss: 1.706073, acc: 0.093750] 32757: [discriminator loss: 0.584428, acc: 0.687500] [adversarial loss: 0.959514, acc: 0.453125] 32758: [discriminator loss: 0.535583, acc: 0.734375] [adversarial loss: 1.309116, acc: 0.250000] 32759: [discriminator loss: 0.521502, acc: 0.726562] [adversarial loss: 0.958267, acc: 0.421875] 32760: [discriminator loss: 0.535363, acc: 0.718750] [adversarial loss: 1.456257, acc: 0.109375] 32761: [discriminator loss: 0.492080, acc: 0.695312] [adversarial loss: 0.845574, acc: 0.546875] 32762: [discriminator loss: 0.611981, acc: 0.632812] [adversarial loss: 1.502094, acc: 0.265625] 32763: [discriminator loss: 0.531597, acc: 0.687500] [adversarial loss: 0.949888, acc: 0.390625] 32764: [discriminator loss: 0.500907, acc: 0.750000] [adversarial loss: 1.481945, acc: 0.156250] 32765: [discriminator loss: 0.465269, acc: 0.757812] [adversarial loss: 1.385003, acc: 0.125000] 32766: [discriminator loss: 0.527067, acc: 0.726562] [adversarial loss: 1.233931, acc: 0.265625] 32767: [discriminator loss: 0.458707, acc: 0.796875] [adversarial loss: 1.329203, acc: 0.187500] 32768: [discriminator loss: 0.543560, acc: 0.734375] [adversarial loss: 1.200476, acc: 0.203125] 32769: [discriminator loss: 0.543858, acc: 0.703125] [adversarial loss: 1.137415, acc: 0.312500] 32770: [discriminator loss: 0.503302, acc: 0.765625] [adversarial loss: 1.448928, acc: 0.140625] 32771: [discriminator loss: 0.499017, acc: 0.742188] [adversarial loss: 0.928107, acc: 0.453125] 32772: [discriminator loss: 0.475965, acc: 0.789062] [adversarial loss: 1.640087, acc: 0.140625] 32773: [discriminator loss: 0.480542, acc: 0.789062] [adversarial loss: 1.069321, acc: 0.328125] 32774: [discriminator loss: 0.577904, acc: 0.726562] [adversarial loss: 1.701473, acc: 0.109375] 32775: [discriminator loss: 0.584623, acc: 0.695312] [adversarial loss: 0.847269, acc: 0.531250] 32776: [discriminator loss: 0.591082, acc: 0.687500] [adversarial loss: 1.759448, acc: 0.156250] 32777: [discriminator loss: 0.544840, acc: 0.703125] [adversarial loss: 0.934458, acc: 0.500000] 32778: [discriminator loss: 0.547746, acc: 0.710938] [adversarial loss: 1.453964, acc: 0.140625] 32779: [discriminator loss: 0.530094, acc: 0.687500] [adversarial loss: 1.052756, acc: 0.359375] 32780: [discriminator loss: 0.489170, acc: 0.742188] [adversarial loss: 1.152096, acc: 0.265625] 32781: [discriminator loss: 0.506966, acc: 0.734375] [adversarial loss: 1.361660, acc: 0.187500] 32782: [discriminator loss: 0.530378, acc: 0.726562] [adversarial loss: 0.943011, acc: 0.406250] 32783: [discriminator loss: 0.485131, acc: 0.781250] [adversarial loss: 1.676908, acc: 0.171875] 32784: [discriminator loss: 0.563279, acc: 0.718750] [adversarial loss: 0.756905, acc: 0.546875] 32785: [discriminator loss: 0.548753, acc: 0.687500] [adversarial loss: 2.139660, acc: 0.093750] 32786: [discriminator loss: 0.684898, acc: 0.617188] [adversarial loss: 0.934896, acc: 0.453125] 32787: [discriminator loss: 0.458209, acc: 0.757812] [adversarial loss: 1.348975, acc: 0.218750] 32788: [discriminator loss: 0.499955, acc: 0.765625] [adversarial loss: 1.067879, acc: 0.343750] 32789: [discriminator loss: 0.513979, acc: 0.742188] [adversarial loss: 1.074569, acc: 0.281250] 32790: [discriminator loss: 0.549483, acc: 0.742188] [adversarial loss: 1.108797, acc: 0.312500] 32791: [discriminator loss: 0.597964, acc: 0.679688] [adversarial loss: 1.302545, acc: 0.234375] 32792: [discriminator loss: 0.476799, acc: 0.757812] [adversarial loss: 1.028293, acc: 0.343750] 32793: [discriminator loss: 0.476426, acc: 0.773438] [adversarial loss: 1.453259, acc: 0.125000] 32794: [discriminator loss: 0.519480, acc: 0.773438] [adversarial loss: 0.981975, acc: 0.453125] 32795: [discriminator loss: 0.511325, acc: 0.765625] [adversarial loss: 1.432068, acc: 0.156250] 32796: [discriminator loss: 0.572930, acc: 0.703125] [adversarial loss: 1.046200, acc: 0.359375] 32797: [discriminator loss: 0.462638, acc: 0.781250] [adversarial loss: 1.352241, acc: 0.156250] 32798: [discriminator loss: 0.450590, acc: 0.804688] [adversarial loss: 1.224875, acc: 0.312500] 32799: [discriminator loss: 0.521090, acc: 0.734375] [adversarial loss: 1.229130, acc: 0.281250] 32800: [discriminator loss: 0.493053, acc: 0.742188] [adversarial loss: 1.308758, acc: 0.218750] 32801: [discriminator loss: 0.558888, acc: 0.718750] [adversarial loss: 1.701721, acc: 0.156250] 32802: [discriminator loss: 0.532814, acc: 0.734375] [adversarial loss: 0.894727, acc: 0.453125] 32803: [discriminator loss: 0.570993, acc: 0.679688] [adversarial loss: 1.679214, acc: 0.109375] 32804: [discriminator loss: 0.625344, acc: 0.664062] [adversarial loss: 0.779575, acc: 0.562500] 32805: [discriminator loss: 0.513683, acc: 0.773438] [adversarial loss: 1.495633, acc: 0.187500] 32806: [discriminator loss: 0.569011, acc: 0.695312] [adversarial loss: 0.744871, acc: 0.546875] 32807: [discriminator loss: 0.488059, acc: 0.757812] [adversarial loss: 1.549286, acc: 0.156250] 32808: [discriminator loss: 0.562329, acc: 0.679688] [adversarial loss: 1.131459, acc: 0.328125] 32809: [discriminator loss: 0.537233, acc: 0.710938] [adversarial loss: 1.348090, acc: 0.171875] 32810: [discriminator loss: 0.514293, acc: 0.773438] [adversarial loss: 1.283967, acc: 0.281250] 32811: [discriminator loss: 0.529613, acc: 0.718750] [adversarial loss: 1.159710, acc: 0.234375] 32812: [discriminator loss: 0.484412, acc: 0.796875] [adversarial loss: 0.999364, acc: 0.328125] 32813: [discriminator loss: 0.471618, acc: 0.796875] [adversarial loss: 1.515890, acc: 0.093750] 32814: [discriminator loss: 0.523466, acc: 0.750000] [adversarial loss: 0.780472, acc: 0.437500] 32815: [discriminator loss: 0.521008, acc: 0.781250] [adversarial loss: 1.261343, acc: 0.203125] 32816: [discriminator loss: 0.518728, acc: 0.734375] [adversarial loss: 1.109090, acc: 0.265625] 32817: [discriminator loss: 0.542333, acc: 0.726562] [adversarial loss: 1.429697, acc: 0.125000] 32818: [discriminator loss: 0.440823, acc: 0.781250] [adversarial loss: 1.035536, acc: 0.296875] 32819: [discriminator loss: 0.468814, acc: 0.757812] [adversarial loss: 1.460375, acc: 0.156250] 32820: [discriminator loss: 0.452447, acc: 0.804688] [adversarial loss: 0.923035, acc: 0.593750] 32821: [discriminator loss: 0.482214, acc: 0.726562] [adversarial loss: 1.597907, acc: 0.140625] 32822: [discriminator loss: 0.542298, acc: 0.695312] [adversarial loss: 0.800660, acc: 0.562500] 32823: [discriminator loss: 0.632769, acc: 0.695312] [adversarial loss: 1.638983, acc: 0.109375] 32824: [discriminator loss: 0.499337, acc: 0.734375] [adversarial loss: 1.033140, acc: 0.343750] 32825: [discriminator loss: 0.512279, acc: 0.796875] [adversarial loss: 1.688283, acc: 0.109375] 32826: [discriminator loss: 0.572061, acc: 0.679688] [adversarial loss: 1.161358, acc: 0.359375] 32827: [discriminator loss: 0.517245, acc: 0.718750] [adversarial loss: 1.519251, acc: 0.203125] 32828: [discriminator loss: 0.572006, acc: 0.687500] [adversarial loss: 1.300192, acc: 0.203125] 32829: [discriminator loss: 0.522902, acc: 0.710938] [adversarial loss: 1.154635, acc: 0.359375] 32830: [discriminator loss: 0.526801, acc: 0.750000] [adversarial loss: 1.414294, acc: 0.187500] 32831: [discriminator loss: 0.436588, acc: 0.765625] [adversarial loss: 1.240931, acc: 0.281250] 32832: [discriminator loss: 0.480384, acc: 0.750000] [adversarial loss: 1.591872, acc: 0.109375] 32833: [discriminator loss: 0.604374, acc: 0.695312] [adversarial loss: 0.933275, acc: 0.437500] 32834: [discriminator loss: 0.537441, acc: 0.710938] [adversarial loss: 1.807802, acc: 0.046875] 32835: [discriminator loss: 0.661957, acc: 0.656250] [adversarial loss: 0.975471, acc: 0.390625] 32836: [discriminator loss: 0.526294, acc: 0.695312] [adversarial loss: 1.596178, acc: 0.109375] 32837: [discriminator loss: 0.579710, acc: 0.726562] [adversarial loss: 0.954025, acc: 0.390625] 32838: [discriminator loss: 0.523528, acc: 0.742188] [adversarial loss: 1.462095, acc: 0.109375] 32839: [discriminator loss: 0.546793, acc: 0.718750] [adversarial loss: 0.890388, acc: 0.406250] 32840: [discriminator loss: 0.487413, acc: 0.796875] [adversarial loss: 1.345565, acc: 0.109375] 32841: [discriminator loss: 0.488636, acc: 0.781250] [adversarial loss: 1.279171, acc: 0.203125] 32842: [discriminator loss: 0.461644, acc: 0.820312] [adversarial loss: 1.197792, acc: 0.296875] 32843: [discriminator loss: 0.542311, acc: 0.671875] [adversarial loss: 1.237680, acc: 0.281250] 32844: [discriminator loss: 0.530984, acc: 0.734375] [adversarial loss: 1.381536, acc: 0.250000] 32845: [discriminator loss: 0.543076, acc: 0.703125] [adversarial loss: 0.982391, acc: 0.406250] 32846: [discriminator loss: 0.591600, acc: 0.695312] [adversarial loss: 1.389621, acc: 0.125000] 32847: [discriminator loss: 0.544987, acc: 0.695312] [adversarial loss: 1.692664, acc: 0.109375] 32848: [discriminator loss: 0.485445, acc: 0.765625] [adversarial loss: 0.949658, acc: 0.453125] 32849: [discriminator loss: 0.581718, acc: 0.781250] [adversarial loss: 1.831201, acc: 0.078125] 32850: [discriminator loss: 0.512812, acc: 0.718750] [adversarial loss: 0.763143, acc: 0.546875] 32851: [discriminator loss: 0.596796, acc: 0.632812] [adversarial loss: 1.516912, acc: 0.140625] 32852: [discriminator loss: 0.577695, acc: 0.703125] [adversarial loss: 1.295985, acc: 0.109375] 32853: [discriminator loss: 0.493962, acc: 0.789062] [adversarial loss: 1.263908, acc: 0.250000] 32854: [discriminator loss: 0.541778, acc: 0.742188] [adversarial loss: 1.265693, acc: 0.265625] 32855: [discriminator loss: 0.484722, acc: 0.765625] [adversarial loss: 1.263699, acc: 0.265625] 32856: [discriminator loss: 0.501851, acc: 0.773438] [adversarial loss: 1.419954, acc: 0.250000] 32857: [discriminator loss: 0.496074, acc: 0.695312] [adversarial loss: 1.136201, acc: 0.328125] 32858: [discriminator loss: 0.486045, acc: 0.742188] [adversarial loss: 1.536676, acc: 0.140625] 32859: [discriminator loss: 0.469238, acc: 0.781250] [adversarial loss: 1.415026, acc: 0.140625] 32860: [discriminator loss: 0.578275, acc: 0.679688] [adversarial loss: 1.496893, acc: 0.140625] 32861: [discriminator loss: 0.470966, acc: 0.773438] [adversarial loss: 1.376666, acc: 0.125000] 32862: [discriminator loss: 0.511851, acc: 0.726562] [adversarial loss: 1.032121, acc: 0.421875] 32863: [discriminator loss: 0.567690, acc: 0.687500] [adversarial loss: 1.673170, acc: 0.140625] 32864: [discriminator loss: 0.607941, acc: 0.617188] [adversarial loss: 1.115204, acc: 0.328125] 32865: [discriminator loss: 0.570622, acc: 0.750000] [adversarial loss: 1.513278, acc: 0.171875] 32866: [discriminator loss: 0.511850, acc: 0.687500] [adversarial loss: 1.056222, acc: 0.390625] 32867: [discriminator loss: 0.474045, acc: 0.781250] [adversarial loss: 1.468683, acc: 0.187500] 32868: [discriminator loss: 0.573102, acc: 0.710938] [adversarial loss: 1.587296, acc: 0.156250] 32869: [discriminator loss: 0.579240, acc: 0.679688] [adversarial loss: 0.942197, acc: 0.484375] 32870: [discriminator loss: 0.571521, acc: 0.640625] [adversarial loss: 1.772759, acc: 0.062500] 32871: [discriminator loss: 0.578052, acc: 0.695312] [adversarial loss: 0.896929, acc: 0.453125] 32872: [discriminator loss: 0.436645, acc: 0.773438] [adversarial loss: 1.302273, acc: 0.187500] 32873: [discriminator loss: 0.469429, acc: 0.773438] [adversarial loss: 0.822740, acc: 0.453125] 32874: [discriminator loss: 0.504175, acc: 0.773438] [adversarial loss: 1.056999, acc: 0.343750] 32875: [discriminator loss: 0.511624, acc: 0.781250] [adversarial loss: 0.928012, acc: 0.421875] 32876: [discriminator loss: 0.562499, acc: 0.703125] [adversarial loss: 1.273045, acc: 0.281250] 32877: [discriminator loss: 0.432057, acc: 0.804688] [adversarial loss: 1.224641, acc: 0.359375] 32878: [discriminator loss: 0.488175, acc: 0.812500] [adversarial loss: 1.380608, acc: 0.203125] 32879: [discriminator loss: 0.505280, acc: 0.726562] [adversarial loss: 1.262507, acc: 0.296875] 32880: [discriminator loss: 0.519378, acc: 0.750000] [adversarial loss: 1.376905, acc: 0.281250] 32881: [discriminator loss: 0.518638, acc: 0.710938] [adversarial loss: 1.018278, acc: 0.296875] 32882: [discriminator loss: 0.449932, acc: 0.781250] [adversarial loss: 1.331419, acc: 0.187500] 32883: [discriminator loss: 0.553449, acc: 0.734375] [adversarial loss: 0.859255, acc: 0.484375] 32884: [discriminator loss: 0.508311, acc: 0.765625] [adversarial loss: 1.513498, acc: 0.140625] 32885: [discriminator loss: 0.470678, acc: 0.773438] [adversarial loss: 0.931599, acc: 0.328125] 32886: [discriminator loss: 0.556924, acc: 0.750000] [adversarial loss: 1.715080, acc: 0.109375] 32887: [discriminator loss: 0.525811, acc: 0.703125] [adversarial loss: 0.615665, acc: 0.718750] 32888: [discriminator loss: 0.614400, acc: 0.718750] [adversarial loss: 1.723222, acc: 0.109375] 32889: [discriminator loss: 0.556115, acc: 0.703125] [adversarial loss: 0.789879, acc: 0.500000] 32890: [discriminator loss: 0.549826, acc: 0.703125] [adversarial loss: 1.419541, acc: 0.187500] 32891: [discriminator loss: 0.494154, acc: 0.734375] [adversarial loss: 1.070118, acc: 0.312500] 32892: [discriminator loss: 0.506706, acc: 0.742188] [adversarial loss: 1.544652, acc: 0.140625] 32893: [discriminator loss: 0.518048, acc: 0.726562] [adversarial loss: 1.101864, acc: 0.312500] 32894: [discriminator loss: 0.492499, acc: 0.757812] [adversarial loss: 1.578462, acc: 0.109375] 32895: [discriminator loss: 0.652378, acc: 0.578125] [adversarial loss: 0.759298, acc: 0.515625] 32896: [discriminator loss: 0.513450, acc: 0.710938] [adversarial loss: 1.225798, acc: 0.265625] 32897: [discriminator loss: 0.546831, acc: 0.687500] [adversarial loss: 1.122643, acc: 0.343750] 32898: [discriminator loss: 0.492220, acc: 0.781250] [adversarial loss: 1.435140, acc: 0.171875] 32899: [discriminator loss: 0.466287, acc: 0.742188] [adversarial loss: 0.897877, acc: 0.437500] 32900: [discriminator loss: 0.465748, acc: 0.789062] [adversarial loss: 1.232023, acc: 0.296875] 32901: [discriminator loss: 0.525040, acc: 0.703125] [adversarial loss: 1.341970, acc: 0.171875] 32902: [discriminator loss: 0.473666, acc: 0.765625] [adversarial loss: 1.596720, acc: 0.156250] 32903: [discriminator loss: 0.544732, acc: 0.703125] [adversarial loss: 0.954005, acc: 0.484375] 32904: [discriminator loss: 0.488412, acc: 0.726562] [adversarial loss: 1.716372, acc: 0.109375] 32905: [discriminator loss: 0.518421, acc: 0.726562] [adversarial loss: 0.819829, acc: 0.515625] 32906: [discriminator loss: 0.601940, acc: 0.687500] [adversarial loss: 1.764645, acc: 0.125000] 32907: [discriminator loss: 0.494226, acc: 0.718750] [adversarial loss: 0.911489, acc: 0.468750] 32908: [discriminator loss: 0.460087, acc: 0.750000] [adversarial loss: 1.488057, acc: 0.234375] 32909: [discriminator loss: 0.444227, acc: 0.796875] [adversarial loss: 0.920725, acc: 0.500000] 32910: [discriminator loss: 0.660023, acc: 0.671875] [adversarial loss: 1.143626, acc: 0.328125] 32911: [discriminator loss: 0.505694, acc: 0.718750] [adversarial loss: 1.021105, acc: 0.437500] 32912: [discriminator loss: 0.514966, acc: 0.734375] [adversarial loss: 1.092120, acc: 0.312500] 32913: [discriminator loss: 0.435988, acc: 0.812500] [adversarial loss: 1.147386, acc: 0.234375] 32914: [discriminator loss: 0.484636, acc: 0.773438] [adversarial loss: 1.021570, acc: 0.328125] 32915: [discriminator loss: 0.494062, acc: 0.718750] [adversarial loss: 1.168431, acc: 0.296875] 32916: [discriminator loss: 0.548673, acc: 0.718750] [adversarial loss: 1.183012, acc: 0.265625] 32917: [discriminator loss: 0.470877, acc: 0.765625] [adversarial loss: 1.409176, acc: 0.156250] 32918: [discriminator loss: 0.538636, acc: 0.726562] [adversarial loss: 1.136477, acc: 0.328125] 32919: [discriminator loss: 0.598018, acc: 0.656250] [adversarial loss: 1.947680, acc: 0.078125] 32920: [discriminator loss: 0.515234, acc: 0.742188] [adversarial loss: 0.942591, acc: 0.421875] 32921: [discriminator loss: 0.569523, acc: 0.687500] [adversarial loss: 1.878563, acc: 0.000000] 32922: [discriminator loss: 0.513044, acc: 0.734375] [adversarial loss: 1.080160, acc: 0.296875] 32923: [discriminator loss: 0.551306, acc: 0.703125] [adversarial loss: 1.275661, acc: 0.218750] 32924: [discriminator loss: 0.500452, acc: 0.750000] [adversarial loss: 1.014504, acc: 0.359375] 32925: [discriminator loss: 0.466399, acc: 0.757812] [adversarial loss: 1.171118, acc: 0.234375] 32926: [discriminator loss: 0.460822, acc: 0.781250] [adversarial loss: 1.705951, acc: 0.078125] 32927: [discriminator loss: 0.455639, acc: 0.781250] [adversarial loss: 1.256339, acc: 0.234375] 32928: [discriminator loss: 0.520463, acc: 0.789062] [adversarial loss: 1.429719, acc: 0.093750] 32929: [discriminator loss: 0.527611, acc: 0.718750] [adversarial loss: 1.070903, acc: 0.281250] 32930: [discriminator loss: 0.482710, acc: 0.742188] [adversarial loss: 1.619445, acc: 0.140625] 32931: [discriminator loss: 0.515671, acc: 0.703125] [adversarial loss: 0.950884, acc: 0.421875] 32932: [discriminator loss: 0.545572, acc: 0.742188] [adversarial loss: 1.621713, acc: 0.156250] 32933: [discriminator loss: 0.596261, acc: 0.664062] [adversarial loss: 1.009210, acc: 0.359375] 32934: [discriminator loss: 0.491916, acc: 0.742188] [adversarial loss: 1.733055, acc: 0.125000] 32935: [discriminator loss: 0.517170, acc: 0.734375] [adversarial loss: 1.049367, acc: 0.343750] 32936: [discriminator loss: 0.598060, acc: 0.648438] [adversarial loss: 1.351013, acc: 0.187500] 32937: [discriminator loss: 0.512501, acc: 0.734375] [adversarial loss: 1.361161, acc: 0.203125] 32938: [discriminator loss: 0.543880, acc: 0.734375] [adversarial loss: 1.220271, acc: 0.296875] 32939: [discriminator loss: 0.505116, acc: 0.742188] [adversarial loss: 1.433011, acc: 0.140625] 32940: [discriminator loss: 0.488344, acc: 0.718750] [adversarial loss: 1.199903, acc: 0.265625] 32941: [discriminator loss: 0.570028, acc: 0.695312] [adversarial loss: 1.369955, acc: 0.171875] 32942: [discriminator loss: 0.556884, acc: 0.718750] [adversarial loss: 1.365971, acc: 0.171875] 32943: [discriminator loss: 0.549861, acc: 0.695312] [adversarial loss: 1.329239, acc: 0.250000] 32944: [discriminator loss: 0.506403, acc: 0.734375] [adversarial loss: 1.233230, acc: 0.328125] 32945: [discriminator loss: 0.485560, acc: 0.750000] [adversarial loss: 1.263054, acc: 0.281250] 32946: [discriminator loss: 0.516493, acc: 0.734375] [adversarial loss: 1.275275, acc: 0.281250] 32947: [discriminator loss: 0.579320, acc: 0.679688] [adversarial loss: 1.178262, acc: 0.250000] 32948: [discriminator loss: 0.497697, acc: 0.773438] [adversarial loss: 1.537863, acc: 0.156250] 32949: [discriminator loss: 0.559734, acc: 0.703125] [adversarial loss: 0.986803, acc: 0.343750] 32950: [discriminator loss: 0.537395, acc: 0.718750] [adversarial loss: 1.598988, acc: 0.062500] 32951: [discriminator loss: 0.507686, acc: 0.703125] [adversarial loss: 1.019547, acc: 0.359375] 32952: [discriminator loss: 0.530115, acc: 0.710938] [adversarial loss: 1.425854, acc: 0.156250] 32953: [discriminator loss: 0.511579, acc: 0.757812] [adversarial loss: 1.442946, acc: 0.156250] 32954: [discriminator loss: 0.535644, acc: 0.656250] [adversarial loss: 1.209166, acc: 0.312500] 32955: [discriminator loss: 0.481240, acc: 0.734375] [adversarial loss: 1.389080, acc: 0.203125] 32956: [discriminator loss: 0.512118, acc: 0.742188] [adversarial loss: 1.063389, acc: 0.343750] 32957: [discriminator loss: 0.503177, acc: 0.750000] [adversarial loss: 1.335010, acc: 0.234375] 32958: [discriminator loss: 0.537168, acc: 0.726562] [adversarial loss: 1.373384, acc: 0.250000] 32959: [discriminator loss: 0.507426, acc: 0.734375] [adversarial loss: 1.139113, acc: 0.296875] 32960: [discriminator loss: 0.507810, acc: 0.757812] [adversarial loss: 1.195838, acc: 0.203125] 32961: [discriminator loss: 0.425642, acc: 0.812500] [adversarial loss: 1.298191, acc: 0.250000] 32962: [discriminator loss: 0.501201, acc: 0.726562] [adversarial loss: 1.465181, acc: 0.234375] 32963: [discriminator loss: 0.514737, acc: 0.742188] [adversarial loss: 1.379295, acc: 0.250000] 32964: [discriminator loss: 0.588829, acc: 0.679688] [adversarial loss: 1.766592, acc: 0.187500] 32965: [discriminator loss: 0.582826, acc: 0.695312] [adversarial loss: 0.969628, acc: 0.390625] 32966: [discriminator loss: 0.542852, acc: 0.750000] [adversarial loss: 1.964787, acc: 0.046875] 32967: [discriminator loss: 0.586295, acc: 0.687500] [adversarial loss: 0.948031, acc: 0.484375] 32968: [discriminator loss: 0.569220, acc: 0.687500] [adversarial loss: 1.676049, acc: 0.031250] 32969: [discriminator loss: 0.529018, acc: 0.679688] [adversarial loss: 0.836186, acc: 0.453125] 32970: [discriminator loss: 0.533940, acc: 0.710938] [adversarial loss: 1.578640, acc: 0.140625] 32971: [discriminator loss: 0.566518, acc: 0.695312] [adversarial loss: 1.337518, acc: 0.218750] 32972: [discriminator loss: 0.482205, acc: 0.812500] [adversarial loss: 1.463028, acc: 0.203125] 32973: [discriminator loss: 0.501416, acc: 0.765625] [adversarial loss: 1.123360, acc: 0.312500] 32974: [discriminator loss: 0.532021, acc: 0.773438] [adversarial loss: 1.402004, acc: 0.171875] 32975: [discriminator loss: 0.520233, acc: 0.734375] [adversarial loss: 0.911570, acc: 0.500000] 32976: [discriminator loss: 0.537797, acc: 0.710938] [adversarial loss: 1.551605, acc: 0.078125] 32977: [discriminator loss: 0.494539, acc: 0.734375] [adversarial loss: 0.905169, acc: 0.500000] 32978: [discriminator loss: 0.572810, acc: 0.726562] [adversarial loss: 1.419798, acc: 0.218750] 32979: [discriminator loss: 0.529846, acc: 0.742188] [adversarial loss: 1.047146, acc: 0.406250] 32980: [discriminator loss: 0.508078, acc: 0.742188] [adversarial loss: 1.015813, acc: 0.281250] 32981: [discriminator loss: 0.477095, acc: 0.796875] [adversarial loss: 1.340993, acc: 0.218750] 32982: [discriminator loss: 0.518473, acc: 0.734375] [adversarial loss: 0.980018, acc: 0.375000] 32983: [discriminator loss: 0.472646, acc: 0.781250] [adversarial loss: 1.164326, acc: 0.312500] 32984: [discriminator loss: 0.528856, acc: 0.742188] [adversarial loss: 1.116606, acc: 0.359375] 32985: [discriminator loss: 0.543118, acc: 0.718750] [adversarial loss: 1.615955, acc: 0.078125] 32986: [discriminator loss: 0.485281, acc: 0.773438] [adversarial loss: 1.219921, acc: 0.328125] 32987: [discriminator loss: 0.562035, acc: 0.703125] [adversarial loss: 0.910346, acc: 0.390625] 32988: [discriminator loss: 0.487354, acc: 0.804688] [adversarial loss: 1.477438, acc: 0.203125] 32989: [discriminator loss: 0.496720, acc: 0.710938] [adversarial loss: 0.980850, acc: 0.359375] 32990: [discriminator loss: 0.509105, acc: 0.742188] [adversarial loss: 1.380668, acc: 0.156250] 32991: [discriminator loss: 0.536986, acc: 0.742188] [adversarial loss: 0.839904, acc: 0.468750] 32992: [discriminator loss: 0.601919, acc: 0.703125] [adversarial loss: 1.963476, acc: 0.046875] 32993: [discriminator loss: 0.591615, acc: 0.640625] [adversarial loss: 0.737441, acc: 0.531250] 32994: [discriminator loss: 0.538466, acc: 0.718750] [adversarial loss: 1.545403, acc: 0.125000] 32995: [discriminator loss: 0.631913, acc: 0.656250] [adversarial loss: 0.835369, acc: 0.531250] 32996: [discriminator loss: 0.495580, acc: 0.757812] [adversarial loss: 1.324675, acc: 0.234375] 32997: [discriminator loss: 0.523797, acc: 0.703125] [adversarial loss: 0.978739, acc: 0.484375] 32998: [discriminator loss: 0.538190, acc: 0.718750] [adversarial loss: 1.212857, acc: 0.250000] 32999: [discriminator loss: 0.563886, acc: 0.679688] [adversarial loss: 1.178223, acc: 0.250000] 33000: [discriminator loss: 0.533476, acc: 0.742188] [adversarial loss: 1.225390, acc: 0.203125] 33001: [discriminator loss: 0.533053, acc: 0.734375] [adversarial loss: 1.130954, acc: 0.328125] 33002: [discriminator loss: 0.464808, acc: 0.789062] [adversarial loss: 1.008102, acc: 0.375000] 33003: [discriminator loss: 0.507189, acc: 0.773438] [adversarial loss: 1.632745, acc: 0.140625] 33004: [discriminator loss: 0.478585, acc: 0.734375] [adversarial loss: 1.374515, acc: 0.250000] 33005: [discriminator loss: 0.477792, acc: 0.726562] [adversarial loss: 1.438237, acc: 0.171875] 33006: [discriminator loss: 0.509018, acc: 0.703125] [adversarial loss: 1.148407, acc: 0.265625] 33007: [discriminator loss: 0.514132, acc: 0.742188] [adversarial loss: 1.568254, acc: 0.187500] 33008: [discriminator loss: 0.524869, acc: 0.757812] [adversarial loss: 1.128232, acc: 0.375000] 33009: [discriminator loss: 0.584978, acc: 0.695312] [adversarial loss: 1.808329, acc: 0.078125] 33010: [discriminator loss: 0.491434, acc: 0.757812] [adversarial loss: 0.982371, acc: 0.390625] 33011: [discriminator loss: 0.602300, acc: 0.687500] [adversarial loss: 1.654215, acc: 0.156250] 33012: [discriminator loss: 0.454826, acc: 0.773438] [adversarial loss: 1.261071, acc: 0.296875] 33013: [discriminator loss: 0.478019, acc: 0.757812] [adversarial loss: 1.409578, acc: 0.250000] 33014: [discriminator loss: 0.466016, acc: 0.765625] [adversarial loss: 1.232627, acc: 0.265625] 33015: [discriminator loss: 0.470226, acc: 0.765625] [adversarial loss: 1.836804, acc: 0.062500] 33016: [discriminator loss: 0.518295, acc: 0.742188] [adversarial loss: 1.032598, acc: 0.421875] 33017: [discriminator loss: 0.497950, acc: 0.796875] [adversarial loss: 1.303624, acc: 0.218750] 33018: [discriminator loss: 0.530834, acc: 0.710938] [adversarial loss: 1.031726, acc: 0.390625] 33019: [discriminator loss: 0.447503, acc: 0.789062] [adversarial loss: 1.129046, acc: 0.312500] 33020: [discriminator loss: 0.549972, acc: 0.671875] [adversarial loss: 1.508986, acc: 0.171875] 33021: [discriminator loss: 0.459448, acc: 0.796875] [adversarial loss: 1.236861, acc: 0.312500] 33022: [discriminator loss: 0.556629, acc: 0.703125] [adversarial loss: 1.610449, acc: 0.109375] 33023: [discriminator loss: 0.511095, acc: 0.718750] [adversarial loss: 1.130726, acc: 0.328125] 33024: [discriminator loss: 0.519952, acc: 0.734375] [adversarial loss: 1.007580, acc: 0.406250] 33025: [discriminator loss: 0.581874, acc: 0.671875] [adversarial loss: 1.387571, acc: 0.156250] 33026: [discriminator loss: 0.522561, acc: 0.781250] [adversarial loss: 1.662473, acc: 0.109375] 33027: [discriminator loss: 0.610264, acc: 0.648438] [adversarial loss: 0.720361, acc: 0.531250] 33028: [discriminator loss: 0.480131, acc: 0.726562] [adversarial loss: 1.571300, acc: 0.109375] 33029: [discriminator loss: 0.587297, acc: 0.671875] [adversarial loss: 0.851086, acc: 0.484375] 33030: [discriminator loss: 0.427159, acc: 0.804688] [adversarial loss: 1.492088, acc: 0.125000] 33031: [discriminator loss: 0.581101, acc: 0.664062] [adversarial loss: 1.202438, acc: 0.312500] 33032: [discriminator loss: 0.497408, acc: 0.726562] [adversarial loss: 1.342137, acc: 0.281250] 33033: [discriminator loss: 0.550498, acc: 0.726562] [adversarial loss: 1.392565, acc: 0.156250] 33034: [discriminator loss: 0.446349, acc: 0.789062] [adversarial loss: 1.177754, acc: 0.296875] 33035: [discriminator loss: 0.494744, acc: 0.750000] [adversarial loss: 1.202057, acc: 0.265625] 33036: [discriminator loss: 0.566983, acc: 0.687500] [adversarial loss: 1.106283, acc: 0.281250] 33037: [discriminator loss: 0.443902, acc: 0.804688] [adversarial loss: 1.373246, acc: 0.203125] 33038: [discriminator loss: 0.514734, acc: 0.750000] [adversarial loss: 1.074975, acc: 0.359375] 33039: [discriminator loss: 0.585642, acc: 0.632812] [adversarial loss: 1.514075, acc: 0.140625] 33040: [discriminator loss: 0.624520, acc: 0.679688] [adversarial loss: 0.990405, acc: 0.406250] 33041: [discriminator loss: 0.519804, acc: 0.703125] [adversarial loss: 1.428609, acc: 0.250000] 33042: [discriminator loss: 0.495318, acc: 0.750000] [adversarial loss: 1.286437, acc: 0.281250] 33043: [discriminator loss: 0.520599, acc: 0.742188] [adversarial loss: 1.303099, acc: 0.250000] 33044: [discriminator loss: 0.498001, acc: 0.757812] [adversarial loss: 0.887762, acc: 0.468750] 33045: [discriminator loss: 0.471054, acc: 0.804688] [adversarial loss: 1.527032, acc: 0.125000] 33046: [discriminator loss: 0.502721, acc: 0.726562] [adversarial loss: 1.000581, acc: 0.406250] 33047: [discriminator loss: 0.450911, acc: 0.781250] [adversarial loss: 1.838070, acc: 0.093750] 33048: [discriminator loss: 0.510550, acc: 0.718750] [adversarial loss: 0.940042, acc: 0.484375] 33049: [discriminator loss: 0.537895, acc: 0.718750] [adversarial loss: 2.030641, acc: 0.031250] 33050: [discriminator loss: 0.627945, acc: 0.648438] [adversarial loss: 0.760671, acc: 0.656250] 33051: [discriminator loss: 0.614532, acc: 0.656250] [adversarial loss: 1.674028, acc: 0.125000] 33052: [discriminator loss: 0.541735, acc: 0.710938] [adversarial loss: 0.968854, acc: 0.468750] 33053: [discriminator loss: 0.541123, acc: 0.742188] [adversarial loss: 1.621088, acc: 0.140625] 33054: [discriminator loss: 0.586194, acc: 0.703125] [adversarial loss: 0.987594, acc: 0.421875] 33055: [discriminator loss: 0.486381, acc: 0.734375] [adversarial loss: 1.092797, acc: 0.281250] 33056: [discriminator loss: 0.509587, acc: 0.726562] [adversarial loss: 1.125163, acc: 0.359375] 33057: [discriminator loss: 0.588550, acc: 0.664062] [adversarial loss: 1.534685, acc: 0.156250] 33058: [discriminator loss: 0.510000, acc: 0.757812] [adversarial loss: 0.939488, acc: 0.375000] 33059: [discriminator loss: 0.461530, acc: 0.812500] [adversarial loss: 1.273235, acc: 0.281250] 33060: [discriminator loss: 0.566551, acc: 0.734375] [adversarial loss: 1.161985, acc: 0.203125] 33061: [discriminator loss: 0.489190, acc: 0.773438] [adversarial loss: 1.246897, acc: 0.296875] 33062: [discriminator loss: 0.498039, acc: 0.757812] [adversarial loss: 1.341214, acc: 0.250000] 33063: [discriminator loss: 0.495600, acc: 0.773438] [adversarial loss: 1.293818, acc: 0.265625] 33064: [discriminator loss: 0.504428, acc: 0.781250] [adversarial loss: 1.382759, acc: 0.265625] 33065: [discriminator loss: 0.510220, acc: 0.734375] [adversarial loss: 1.003497, acc: 0.328125] 33066: [discriminator loss: 0.510620, acc: 0.726562] [adversarial loss: 1.524338, acc: 0.171875] 33067: [discriminator loss: 0.546052, acc: 0.734375] [adversarial loss: 0.902478, acc: 0.375000] 33068: [discriminator loss: 0.526348, acc: 0.742188] [adversarial loss: 1.113748, acc: 0.421875] 33069: [discriminator loss: 0.555368, acc: 0.734375] [adversarial loss: 1.158061, acc: 0.281250] 33070: [discriminator loss: 0.490551, acc: 0.757812] [adversarial loss: 1.139397, acc: 0.375000] 33071: [discriminator loss: 0.455874, acc: 0.742188] [adversarial loss: 1.654413, acc: 0.156250] 33072: [discriminator loss: 0.527966, acc: 0.765625] [adversarial loss: 1.235681, acc: 0.234375] 33073: [discriminator loss: 0.455609, acc: 0.828125] [adversarial loss: 1.321861, acc: 0.203125] 33074: [discriminator loss: 0.447402, acc: 0.812500] [adversarial loss: 1.130624, acc: 0.359375] 33075: [discriminator loss: 0.570144, acc: 0.703125] [adversarial loss: 1.647079, acc: 0.171875] 33076: [discriminator loss: 0.566603, acc: 0.718750] [adversarial loss: 1.185157, acc: 0.218750] 33077: [discriminator loss: 0.553085, acc: 0.671875] [adversarial loss: 1.279576, acc: 0.234375] 33078: [discriminator loss: 0.494914, acc: 0.718750] [adversarial loss: 0.970734, acc: 0.390625] 33079: [discriminator loss: 0.525785, acc: 0.703125] [adversarial loss: 1.518904, acc: 0.171875] 33080: [discriminator loss: 0.512278, acc: 0.718750] [adversarial loss: 1.207877, acc: 0.328125] 33081: [discriminator loss: 0.624648, acc: 0.687500] [adversarial loss: 1.495634, acc: 0.203125] 33082: [discriminator loss: 0.586869, acc: 0.671875] [adversarial loss: 0.998980, acc: 0.359375] 33083: [discriminator loss: 0.513215, acc: 0.765625] [adversarial loss: 1.456908, acc: 0.203125] 33084: [discriminator loss: 0.526785, acc: 0.742188] [adversarial loss: 1.087818, acc: 0.375000] 33085: [discriminator loss: 0.559351, acc: 0.734375] [adversarial loss: 1.472902, acc: 0.203125] 33086: [discriminator loss: 0.523737, acc: 0.710938] [adversarial loss: 1.166842, acc: 0.250000] 33087: [discriminator loss: 0.568846, acc: 0.718750] [adversarial loss: 1.421141, acc: 0.218750] 33088: [discriminator loss: 0.519550, acc: 0.726562] [adversarial loss: 1.044057, acc: 0.328125] 33089: [discriminator loss: 0.515759, acc: 0.765625] [adversarial loss: 1.518285, acc: 0.125000] 33090: [discriminator loss: 0.491803, acc: 0.710938] [adversarial loss: 0.805734, acc: 0.578125] 33091: [discriminator loss: 0.605307, acc: 0.671875] [adversarial loss: 1.915215, acc: 0.062500] 33092: [discriminator loss: 0.581104, acc: 0.710938] [adversarial loss: 1.037196, acc: 0.359375] 33093: [discriminator loss: 0.472734, acc: 0.757812] [adversarial loss: 1.045338, acc: 0.218750] 33094: [discriminator loss: 0.449734, acc: 0.796875] [adversarial loss: 1.297048, acc: 0.203125] 33095: [discriminator loss: 0.614046, acc: 0.703125] [adversarial loss: 1.183436, acc: 0.234375] 33096: [discriminator loss: 0.517814, acc: 0.742188] [adversarial loss: 1.531353, acc: 0.250000] 33097: [discriminator loss: 0.528296, acc: 0.726562] [adversarial loss: 0.941134, acc: 0.453125] 33098: [discriminator loss: 0.566543, acc: 0.726562] [adversarial loss: 1.823056, acc: 0.062500] 33099: [discriminator loss: 0.583822, acc: 0.695312] [adversarial loss: 0.890042, acc: 0.484375] 33100: [discriminator loss: 0.575791, acc: 0.695312] [adversarial loss: 1.831399, acc: 0.078125] 33101: [discriminator loss: 0.550035, acc: 0.703125] [adversarial loss: 1.035154, acc: 0.390625] 33102: [discriminator loss: 0.574908, acc: 0.695312] [adversarial loss: 1.681002, acc: 0.031250] 33103: [discriminator loss: 0.514067, acc: 0.726562] [adversarial loss: 1.034530, acc: 0.390625] 33104: [discriminator loss: 0.482485, acc: 0.781250] [adversarial loss: 1.346574, acc: 0.171875] 33105: [discriminator loss: 0.524821, acc: 0.718750] [adversarial loss: 0.949684, acc: 0.406250] 33106: [discriminator loss: 0.527500, acc: 0.726562] [adversarial loss: 1.466620, acc: 0.203125] 33107: [discriminator loss: 0.499232, acc: 0.742188] [adversarial loss: 0.995561, acc: 0.390625] 33108: [discriminator loss: 0.442524, acc: 0.812500] [adversarial loss: 1.573317, acc: 0.078125] 33109: [discriminator loss: 0.564800, acc: 0.656250] [adversarial loss: 1.112707, acc: 0.343750] 33110: [discriminator loss: 0.550585, acc: 0.742188] [adversarial loss: 1.466361, acc: 0.156250] 33111: [discriminator loss: 0.600400, acc: 0.656250] [adversarial loss: 1.156018, acc: 0.281250] 33112: [discriminator loss: 0.475225, acc: 0.789062] [adversarial loss: 1.162718, acc: 0.250000] 33113: [discriminator loss: 0.463611, acc: 0.820312] [adversarial loss: 1.055312, acc: 0.390625] 33114: [discriminator loss: 0.567688, acc: 0.695312] [adversarial loss: 1.425635, acc: 0.156250] 33115: [discriminator loss: 0.507290, acc: 0.750000] [adversarial loss: 1.222395, acc: 0.296875] 33116: [discriminator loss: 0.594310, acc: 0.710938] [adversarial loss: 1.169570, acc: 0.203125] 33117: [discriminator loss: 0.486068, acc: 0.781250] [adversarial loss: 1.296791, acc: 0.187500] 33118: [discriminator loss: 0.564868, acc: 0.671875] [adversarial loss: 1.663573, acc: 0.093750] 33119: [discriminator loss: 0.552986, acc: 0.703125] [adversarial loss: 0.949976, acc: 0.406250] 33120: [discriminator loss: 0.569781, acc: 0.664062] [adversarial loss: 1.691341, acc: 0.093750] 33121: [discriminator loss: 0.591111, acc: 0.671875] [adversarial loss: 1.048105, acc: 0.390625] 33122: [discriminator loss: 0.545147, acc: 0.695312] [adversarial loss: 1.209539, acc: 0.281250] 33123: [discriminator loss: 0.495015, acc: 0.718750] [adversarial loss: 1.207988, acc: 0.296875] 33124: [discriminator loss: 0.537177, acc: 0.703125] [adversarial loss: 1.386930, acc: 0.156250] 33125: [discriminator loss: 0.486869, acc: 0.734375] [adversarial loss: 1.192719, acc: 0.250000] 33126: [discriminator loss: 0.545043, acc: 0.742188] [adversarial loss: 1.130143, acc: 0.296875] 33127: [discriminator loss: 0.492091, acc: 0.718750] [adversarial loss: 0.934221, acc: 0.343750] 33128: [discriminator loss: 0.520542, acc: 0.757812] [adversarial loss: 1.156699, acc: 0.250000] 33129: [discriminator loss: 0.491309, acc: 0.750000] [adversarial loss: 1.144717, acc: 0.281250] 33130: [discriminator loss: 0.566914, acc: 0.718750] [adversarial loss: 1.053414, acc: 0.343750] 33131: [discriminator loss: 0.505104, acc: 0.710938] [adversarial loss: 1.203927, acc: 0.218750] 33132: [discriminator loss: 0.467372, acc: 0.757812] [adversarial loss: 1.270681, acc: 0.203125] 33133: [discriminator loss: 0.543674, acc: 0.742188] [adversarial loss: 1.685062, acc: 0.109375] 33134: [discriminator loss: 0.525131, acc: 0.679688] [adversarial loss: 1.192299, acc: 0.203125] 33135: [discriminator loss: 0.504191, acc: 0.718750] [adversarial loss: 1.450930, acc: 0.140625] 33136: [discriminator loss: 0.480230, acc: 0.804688] [adversarial loss: 0.975530, acc: 0.500000] 33137: [discriminator loss: 0.442022, acc: 0.781250] [adversarial loss: 1.235962, acc: 0.250000] 33138: [discriminator loss: 0.583540, acc: 0.648438] [adversarial loss: 0.821631, acc: 0.609375] 33139: [discriminator loss: 0.490881, acc: 0.781250] [adversarial loss: 1.478169, acc: 0.203125] 33140: [discriminator loss: 0.611009, acc: 0.632812] [adversarial loss: 1.067272, acc: 0.296875] 33141: [discriminator loss: 0.530171, acc: 0.734375] [adversarial loss: 1.493893, acc: 0.187500] 33142: [discriminator loss: 0.536220, acc: 0.726562] [adversarial loss: 0.978436, acc: 0.421875] 33143: [discriminator loss: 0.562312, acc: 0.695312] [adversarial loss: 1.715891, acc: 0.109375] 33144: [discriminator loss: 0.477709, acc: 0.765625] [adversarial loss: 0.947144, acc: 0.343750] 33145: [discriminator loss: 0.482270, acc: 0.734375] [adversarial loss: 1.601137, acc: 0.093750] 33146: [discriminator loss: 0.534706, acc: 0.703125] [adversarial loss: 1.343039, acc: 0.171875] 33147: [discriminator loss: 0.500600, acc: 0.796875] [adversarial loss: 1.134808, acc: 0.328125] 33148: [discriminator loss: 0.639912, acc: 0.625000] [adversarial loss: 1.583285, acc: 0.125000] 33149: [discriminator loss: 0.599413, acc: 0.671875] [adversarial loss: 0.935937, acc: 0.406250] 33150: [discriminator loss: 0.471296, acc: 0.718750] [adversarial loss: 1.528152, acc: 0.234375] 33151: [discriminator loss: 0.533662, acc: 0.695312] [adversarial loss: 1.064156, acc: 0.406250] 33152: [discriminator loss: 0.497206, acc: 0.765625] [adversarial loss: 1.422878, acc: 0.187500] 33153: [discriminator loss: 0.438123, acc: 0.796875] [adversarial loss: 1.533286, acc: 0.109375] 33154: [discriminator loss: 0.537194, acc: 0.703125] [adversarial loss: 1.137846, acc: 0.328125] 33155: [discriminator loss: 0.565623, acc: 0.710938] [adversarial loss: 1.341206, acc: 0.265625] 33156: [discriminator loss: 0.516673, acc: 0.757812] [adversarial loss: 1.263793, acc: 0.125000] 33157: [discriminator loss: 0.516554, acc: 0.742188] [adversarial loss: 1.247059, acc: 0.281250] 33158: [discriminator loss: 0.458357, acc: 0.757812] [adversarial loss: 1.241014, acc: 0.250000] 33159: [discriminator loss: 0.496592, acc: 0.781250] [adversarial loss: 1.248291, acc: 0.171875] 33160: [discriminator loss: 0.476992, acc: 0.765625] [adversarial loss: 1.219812, acc: 0.328125] 33161: [discriminator loss: 0.506927, acc: 0.726562] [adversarial loss: 1.369991, acc: 0.171875] 33162: [discriminator loss: 0.492194, acc: 0.710938] [adversarial loss: 1.154264, acc: 0.312500] 33163: [discriminator loss: 0.484340, acc: 0.718750] [adversarial loss: 1.253066, acc: 0.343750] 33164: [discriminator loss: 0.545588, acc: 0.703125] [adversarial loss: 1.266308, acc: 0.234375] 33165: [discriminator loss: 0.463733, acc: 0.765625] [adversarial loss: 1.107867, acc: 0.312500] 33166: [discriminator loss: 0.504647, acc: 0.765625] [adversarial loss: 1.670114, acc: 0.203125] 33167: [discriminator loss: 0.535930, acc: 0.710938] [adversarial loss: 1.168474, acc: 0.234375] 33168: [discriminator loss: 0.517509, acc: 0.726562] [adversarial loss: 1.432017, acc: 0.156250] 33169: [discriminator loss: 0.547693, acc: 0.679688] [adversarial loss: 1.088208, acc: 0.390625] 33170: [discriminator loss: 0.443990, acc: 0.820312] [adversarial loss: 1.747172, acc: 0.125000] 33171: [discriminator loss: 0.579228, acc: 0.695312] [adversarial loss: 0.659914, acc: 0.609375] 33172: [discriminator loss: 0.574893, acc: 0.718750] [adversarial loss: 1.914336, acc: 0.125000] 33173: [discriminator loss: 0.570738, acc: 0.687500] [adversarial loss: 0.843922, acc: 0.468750] 33174: [discriminator loss: 0.526721, acc: 0.781250] [adversarial loss: 1.748394, acc: 0.171875] 33175: [discriminator loss: 0.570205, acc: 0.687500] [adversarial loss: 1.036484, acc: 0.328125] 33176: [discriminator loss: 0.558293, acc: 0.703125] [adversarial loss: 1.279023, acc: 0.218750] 33177: [discriminator loss: 0.574674, acc: 0.664062] [adversarial loss: 1.085162, acc: 0.296875] 33178: [discriminator loss: 0.528010, acc: 0.710938] [adversarial loss: 1.334914, acc: 0.265625] 33179: [discriminator loss: 0.469756, acc: 0.734375] [adversarial loss: 1.186581, acc: 0.250000] 33180: [discriminator loss: 0.495742, acc: 0.757812] [adversarial loss: 1.382716, acc: 0.218750] 33181: [discriminator loss: 0.494919, acc: 0.742188] [adversarial loss: 1.249039, acc: 0.187500] 33182: [discriminator loss: 0.479561, acc: 0.765625] [adversarial loss: 1.381366, acc: 0.203125] 33183: [discriminator loss: 0.438174, acc: 0.804688] [adversarial loss: 1.527811, acc: 0.109375] 33184: [discriminator loss: 0.609524, acc: 0.648438] [adversarial loss: 0.971113, acc: 0.421875] 33185: [discriminator loss: 0.534117, acc: 0.710938] [adversarial loss: 1.609415, acc: 0.125000] 33186: [discriminator loss: 0.586379, acc: 0.679688] [adversarial loss: 1.117005, acc: 0.234375] 33187: [discriminator loss: 0.506227, acc: 0.757812] [adversarial loss: 1.437206, acc: 0.203125] 33188: [discriminator loss: 0.613973, acc: 0.671875] [adversarial loss: 1.094391, acc: 0.296875] 33189: [discriminator loss: 0.500498, acc: 0.757812] [adversarial loss: 1.693595, acc: 0.109375] 33190: [discriminator loss: 0.464903, acc: 0.773438] [adversarial loss: 1.165120, acc: 0.265625] 33191: [discriminator loss: 0.544195, acc: 0.695312] [adversarial loss: 1.561701, acc: 0.203125] 33192: [discriminator loss: 0.508074, acc: 0.757812] [adversarial loss: 1.093994, acc: 0.328125] 33193: [discriminator loss: 0.508046, acc: 0.742188] [adversarial loss: 1.058628, acc: 0.343750] 33194: [discriminator loss: 0.573519, acc: 0.656250] [adversarial loss: 1.469718, acc: 0.250000] 33195: [discriminator loss: 0.557870, acc: 0.664062] [adversarial loss: 1.013958, acc: 0.406250] 33196: [discriminator loss: 0.485370, acc: 0.773438] [adversarial loss: 1.646784, acc: 0.156250] 33197: [discriminator loss: 0.507373, acc: 0.757812] [adversarial loss: 0.952836, acc: 0.421875] 33198: [discriminator loss: 0.590122, acc: 0.671875] [adversarial loss: 1.802473, acc: 0.078125] 33199: [discriminator loss: 0.567073, acc: 0.695312] [adversarial loss: 1.031789, acc: 0.437500] 33200: [discriminator loss: 0.556325, acc: 0.695312] [adversarial loss: 1.695993, acc: 0.203125] 33201: [discriminator loss: 0.625060, acc: 0.687500] [adversarial loss: 0.986711, acc: 0.421875] 33202: [discriminator loss: 0.564975, acc: 0.718750] [adversarial loss: 1.630205, acc: 0.187500] 33203: [discriminator loss: 0.479021, acc: 0.757812] [adversarial loss: 1.025092, acc: 0.375000] 33204: [discriminator loss: 0.554158, acc: 0.703125] [adversarial loss: 1.596171, acc: 0.218750] 33205: [discriminator loss: 0.507630, acc: 0.757812] [adversarial loss: 1.087458, acc: 0.500000] 33206: [discriminator loss: 0.601726, acc: 0.726562] [adversarial loss: 1.318605, acc: 0.234375] 33207: [discriminator loss: 0.553653, acc: 0.726562] [adversarial loss: 1.032772, acc: 0.421875] 33208: [discriminator loss: 0.414642, acc: 0.828125] [adversarial loss: 1.432166, acc: 0.109375] 33209: [discriminator loss: 0.583115, acc: 0.734375] [adversarial loss: 1.082168, acc: 0.343750] 33210: [discriminator loss: 0.533265, acc: 0.687500] [adversarial loss: 1.390779, acc: 0.156250] 33211: [discriminator loss: 0.573763, acc: 0.664062] [adversarial loss: 0.951043, acc: 0.437500] 33212: [discriminator loss: 0.569074, acc: 0.742188] [adversarial loss: 1.799568, acc: 0.093750] 33213: [discriminator loss: 0.569041, acc: 0.687500] [adversarial loss: 1.078099, acc: 0.328125] 33214: [discriminator loss: 0.521191, acc: 0.750000] [adversarial loss: 1.391845, acc: 0.203125] 33215: [discriminator loss: 0.546515, acc: 0.679688] [adversarial loss: 1.354076, acc: 0.171875] 33216: [discriminator loss: 0.539070, acc: 0.734375] [adversarial loss: 1.067695, acc: 0.359375] 33217: [discriminator loss: 0.544312, acc: 0.703125] [adversarial loss: 1.371295, acc: 0.203125] 33218: [discriminator loss: 0.541560, acc: 0.757812] [adversarial loss: 1.394325, acc: 0.140625] 33219: [discriminator loss: 0.564277, acc: 0.726562] [adversarial loss: 1.095546, acc: 0.328125] 33220: [discriminator loss: 0.531929, acc: 0.734375] [adversarial loss: 1.216711, acc: 0.281250] 33221: [discriminator loss: 0.497504, acc: 0.765625] [adversarial loss: 1.500077, acc: 0.109375] 33222: [discriminator loss: 0.487685, acc: 0.726562] [adversarial loss: 1.142106, acc: 0.250000] 33223: [discriminator loss: 0.574236, acc: 0.710938] [adversarial loss: 1.360221, acc: 0.203125] 33224: [discriminator loss: 0.486727, acc: 0.789062] [adversarial loss: 1.193900, acc: 0.265625] 33225: [discriminator loss: 0.575803, acc: 0.703125] [adversarial loss: 1.660866, acc: 0.140625] 33226: [discriminator loss: 0.512953, acc: 0.765625] [adversarial loss: 0.859035, acc: 0.468750] 33227: [discriminator loss: 0.559891, acc: 0.695312] [adversarial loss: 1.708656, acc: 0.125000] 33228: [discriminator loss: 0.586561, acc: 0.656250] [adversarial loss: 0.905278, acc: 0.375000] 33229: [discriminator loss: 0.529291, acc: 0.718750] [adversarial loss: 1.493920, acc: 0.156250] 33230: [discriminator loss: 0.480924, acc: 0.734375] [adversarial loss: 1.178096, acc: 0.281250] 33231: [discriminator loss: 0.546842, acc: 0.710938] [adversarial loss: 1.120125, acc: 0.375000] 33232: [discriminator loss: 0.467289, acc: 0.804688] [adversarial loss: 1.289107, acc: 0.203125] 33233: [discriminator loss: 0.481251, acc: 0.781250] [adversarial loss: 1.417567, acc: 0.109375] 33234: [discriminator loss: 0.469456, acc: 0.796875] [adversarial loss: 1.277535, acc: 0.328125] 33235: [discriminator loss: 0.472514, acc: 0.726562] [adversarial loss: 1.410420, acc: 0.234375] 33236: [discriminator loss: 0.507510, acc: 0.718750] [adversarial loss: 1.373940, acc: 0.171875] 33237: [discriminator loss: 0.484742, acc: 0.734375] [adversarial loss: 1.427630, acc: 0.140625] 33238: [discriminator loss: 0.521254, acc: 0.726562] [adversarial loss: 0.983370, acc: 0.421875] 33239: [discriminator loss: 0.584180, acc: 0.687500] [adversarial loss: 1.550156, acc: 0.203125] 33240: [discriminator loss: 0.493698, acc: 0.750000] [adversarial loss: 1.087563, acc: 0.328125] 33241: [discriminator loss: 0.531682, acc: 0.703125] [adversarial loss: 1.897515, acc: 0.109375] 33242: [discriminator loss: 0.521695, acc: 0.742188] [adversarial loss: 0.792724, acc: 0.484375] 33243: [discriminator loss: 0.563326, acc: 0.742188] [adversarial loss: 1.716211, acc: 0.109375] 33244: [discriminator loss: 0.535026, acc: 0.710938] [adversarial loss: 0.978945, acc: 0.343750] 33245: [discriminator loss: 0.519397, acc: 0.710938] [adversarial loss: 1.677976, acc: 0.093750] 33246: [discriminator loss: 0.515277, acc: 0.718750] [adversarial loss: 1.152363, acc: 0.296875] 33247: [discriminator loss: 0.510772, acc: 0.765625] [adversarial loss: 1.598136, acc: 0.125000] 33248: [discriminator loss: 0.476027, acc: 0.789062] [adversarial loss: 1.558503, acc: 0.140625] 33249: [discriminator loss: 0.496460, acc: 0.734375] [adversarial loss: 0.960180, acc: 0.484375] 33250: [discriminator loss: 0.536996, acc: 0.703125] [adversarial loss: 1.812397, acc: 0.125000] 33251: [discriminator loss: 0.632027, acc: 0.656250] [adversarial loss: 0.839050, acc: 0.578125] 33252: [discriminator loss: 0.588999, acc: 0.687500] [adversarial loss: 1.789158, acc: 0.140625] 33253: [discriminator loss: 0.543702, acc: 0.750000] [adversarial loss: 1.046412, acc: 0.296875] 33254: [discriminator loss: 0.561044, acc: 0.726562] [adversarial loss: 1.568862, acc: 0.156250] 33255: [discriminator loss: 0.552465, acc: 0.679688] [adversarial loss: 0.908516, acc: 0.468750] 33256: [discriminator loss: 0.640287, acc: 0.648438] [adversarial loss: 1.749917, acc: 0.062500] 33257: [discriminator loss: 0.524268, acc: 0.718750] [adversarial loss: 0.957132, acc: 0.437500] 33258: [discriminator loss: 0.459852, acc: 0.804688] [adversarial loss: 1.329694, acc: 0.187500] 33259: [discriminator loss: 0.498084, acc: 0.765625] [adversarial loss: 1.124263, acc: 0.312500] 33260: [discriminator loss: 0.544424, acc: 0.718750] [adversarial loss: 1.641389, acc: 0.109375] 33261: [discriminator loss: 0.495685, acc: 0.750000] [adversarial loss: 0.990590, acc: 0.296875] 33262: [discriminator loss: 0.525751, acc: 0.679688] [adversarial loss: 1.061507, acc: 0.265625] 33263: [discriminator loss: 0.543833, acc: 0.734375] [adversarial loss: 1.181028, acc: 0.265625] 33264: [discriminator loss: 0.549117, acc: 0.679688] [adversarial loss: 1.195138, acc: 0.234375] 33265: [discriminator loss: 0.499105, acc: 0.765625] [adversarial loss: 1.287651, acc: 0.281250] 33266: [discriminator loss: 0.520216, acc: 0.726562] [adversarial loss: 1.111309, acc: 0.281250] 33267: [discriminator loss: 0.467978, acc: 0.796875] [adversarial loss: 1.311963, acc: 0.234375] 33268: [discriminator loss: 0.554760, acc: 0.679688] [adversarial loss: 1.246165, acc: 0.234375] 33269: [discriminator loss: 0.504341, acc: 0.765625] [adversarial loss: 1.385502, acc: 0.125000] 33270: [discriminator loss: 0.507841, acc: 0.750000] [adversarial loss: 1.197883, acc: 0.203125] 33271: [discriminator loss: 0.521091, acc: 0.734375] [adversarial loss: 1.191861, acc: 0.296875] 33272: [discriminator loss: 0.477801, acc: 0.757812] [adversarial loss: 1.356879, acc: 0.234375] 33273: [discriminator loss: 0.467604, acc: 0.742188] [adversarial loss: 1.083300, acc: 0.390625] 33274: [discriminator loss: 0.482030, acc: 0.710938] [adversarial loss: 1.581344, acc: 0.187500] 33275: [discriminator loss: 0.538318, acc: 0.734375] [adversarial loss: 1.208219, acc: 0.250000] 33276: [discriminator loss: 0.471219, acc: 0.757812] [adversarial loss: 1.179181, acc: 0.250000] 33277: [discriminator loss: 0.519517, acc: 0.726562] [adversarial loss: 1.203703, acc: 0.234375] 33278: [discriminator loss: 0.514320, acc: 0.726562] [adversarial loss: 1.674408, acc: 0.156250] 33279: [discriminator loss: 0.515938, acc: 0.726562] [adversarial loss: 1.124960, acc: 0.343750] 33280: [discriminator loss: 0.527654, acc: 0.718750] [adversarial loss: 1.554071, acc: 0.140625] 33281: [discriminator loss: 0.482716, acc: 0.742188] [adversarial loss: 1.175231, acc: 0.250000] 33282: [discriminator loss: 0.575289, acc: 0.687500] [adversarial loss: 1.290827, acc: 0.203125] 33283: [discriminator loss: 0.541742, acc: 0.734375] [adversarial loss: 0.970565, acc: 0.406250] 33284: [discriminator loss: 0.538671, acc: 0.671875] [adversarial loss: 1.534524, acc: 0.171875] 33285: [discriminator loss: 0.482620, acc: 0.781250] [adversarial loss: 1.114825, acc: 0.343750] 33286: [discriminator loss: 0.454290, acc: 0.750000] [adversarial loss: 1.738140, acc: 0.125000] 33287: [discriminator loss: 0.474774, acc: 0.710938] [adversarial loss: 0.993644, acc: 0.359375] 33288: [discriminator loss: 0.520129, acc: 0.750000] [adversarial loss: 1.664425, acc: 0.078125] 33289: [discriminator loss: 0.606172, acc: 0.671875] [adversarial loss: 1.049294, acc: 0.328125] 33290: [discriminator loss: 0.550310, acc: 0.734375] [adversarial loss: 1.420732, acc: 0.171875] 33291: [discriminator loss: 0.536286, acc: 0.687500] [adversarial loss: 1.043659, acc: 0.390625] 33292: [discriminator loss: 0.532081, acc: 0.726562] [adversarial loss: 1.562450, acc: 0.125000] 33293: [discriminator loss: 0.510780, acc: 0.726562] [adversarial loss: 1.231913, acc: 0.312500] 33294: [discriminator loss: 0.550282, acc: 0.687500] [adversarial loss: 1.142197, acc: 0.281250] 33295: [discriminator loss: 0.527501, acc: 0.726562] [adversarial loss: 1.039758, acc: 0.281250] 33296: [discriminator loss: 0.545952, acc: 0.726562] [adversarial loss: 1.270669, acc: 0.218750] 33297: [discriminator loss: 0.484321, acc: 0.734375] [adversarial loss: 1.410761, acc: 0.156250] 33298: [discriminator loss: 0.492798, acc: 0.773438] [adversarial loss: 1.424860, acc: 0.156250] 33299: [discriminator loss: 0.537016, acc: 0.718750] [adversarial loss: 0.796697, acc: 0.500000] 33300: [discriminator loss: 0.517256, acc: 0.718750] [adversarial loss: 1.360881, acc: 0.203125] 33301: [discriminator loss: 0.557651, acc: 0.710938] [adversarial loss: 1.185567, acc: 0.312500] 33302: [discriminator loss: 0.518860, acc: 0.781250] [adversarial loss: 1.497887, acc: 0.156250] 33303: [discriminator loss: 0.578468, acc: 0.656250] [adversarial loss: 1.125678, acc: 0.343750] 33304: [discriminator loss: 0.537328, acc: 0.742188] [adversarial loss: 1.470716, acc: 0.140625] 33305: [discriminator loss: 0.529893, acc: 0.695312] [adversarial loss: 1.064267, acc: 0.390625] 33306: [discriminator loss: 0.485129, acc: 0.757812] [adversarial loss: 1.224090, acc: 0.203125] 33307: [discriminator loss: 0.458691, acc: 0.812500] [adversarial loss: 1.132015, acc: 0.281250] 33308: [discriminator loss: 0.465668, acc: 0.773438] [adversarial loss: 1.130909, acc: 0.406250] 33309: [discriminator loss: 0.526345, acc: 0.734375] [adversarial loss: 1.291579, acc: 0.250000] 33310: [discriminator loss: 0.570654, acc: 0.687500] [adversarial loss: 0.804504, acc: 0.484375] 33311: [discriminator loss: 0.591327, acc: 0.726562] [adversarial loss: 1.496785, acc: 0.203125] 33312: [discriminator loss: 0.475881, acc: 0.773438] [adversarial loss: 0.816210, acc: 0.437500] 33313: [discriminator loss: 0.495401, acc: 0.765625] [adversarial loss: 1.102367, acc: 0.281250] 33314: [discriminator loss: 0.544206, acc: 0.718750] [adversarial loss: 1.436432, acc: 0.187500] 33315: [discriminator loss: 0.561671, acc: 0.687500] [adversarial loss: 0.859776, acc: 0.437500] 33316: [discriminator loss: 0.474878, acc: 0.781250] [adversarial loss: 1.635637, acc: 0.171875] 33317: [discriminator loss: 0.599390, acc: 0.671875] [adversarial loss: 0.951602, acc: 0.421875] 33318: [discriminator loss: 0.511572, acc: 0.726562] [adversarial loss: 1.274692, acc: 0.265625] 33319: [discriminator loss: 0.488588, acc: 0.765625] [adversarial loss: 1.070675, acc: 0.328125] 33320: [discriminator loss: 0.526832, acc: 0.750000] [adversarial loss: 1.311959, acc: 0.250000] 33321: [discriminator loss: 0.483422, acc: 0.750000] [adversarial loss: 1.129105, acc: 0.375000] 33322: [discriminator loss: 0.557697, acc: 0.718750] [adversarial loss: 1.780594, acc: 0.046875] 33323: [discriminator loss: 0.595409, acc: 0.664062] [adversarial loss: 0.694816, acc: 0.656250] 33324: [discriminator loss: 0.505742, acc: 0.703125] [adversarial loss: 1.408725, acc: 0.218750] 33325: [discriminator loss: 0.500239, acc: 0.703125] [adversarial loss: 0.858212, acc: 0.546875] 33326: [discriminator loss: 0.430636, acc: 0.859375] [adversarial loss: 0.994602, acc: 0.406250] 33327: [discriminator loss: 0.508868, acc: 0.757812] [adversarial loss: 1.477041, acc: 0.234375] 33328: [discriminator loss: 0.551570, acc: 0.687500] [adversarial loss: 1.133282, acc: 0.312500] 33329: [discriminator loss: 0.520078, acc: 0.726562] [adversarial loss: 1.646490, acc: 0.125000] 33330: [discriminator loss: 0.500964, acc: 0.750000] [adversarial loss: 1.112842, acc: 0.312500] 33331: [discriminator loss: 0.475435, acc: 0.750000] [adversarial loss: 1.319057, acc: 0.265625] 33332: [discriminator loss: 0.584950, acc: 0.710938] [adversarial loss: 1.363624, acc: 0.187500] 33333: [discriminator loss: 0.569711, acc: 0.718750] [adversarial loss: 1.087128, acc: 0.390625] 33334: [discriminator loss: 0.504535, acc: 0.742188] [adversarial loss: 1.219462, acc: 0.296875] 33335: [discriminator loss: 0.505830, acc: 0.726562] [adversarial loss: 1.440825, acc: 0.125000] 33336: [discriminator loss: 0.554091, acc: 0.710938] [adversarial loss: 1.103062, acc: 0.343750] 33337: [discriminator loss: 0.500855, acc: 0.757812] [adversarial loss: 1.703778, acc: 0.046875] 33338: [discriminator loss: 0.601643, acc: 0.625000] [adversarial loss: 1.237762, acc: 0.312500] 33339: [discriminator loss: 0.511490, acc: 0.742188] [adversarial loss: 1.570768, acc: 0.140625] 33340: [discriminator loss: 0.500943, acc: 0.757812] [adversarial loss: 1.173821, acc: 0.265625] 33341: [discriminator loss: 0.513290, acc: 0.718750] [adversarial loss: 1.358168, acc: 0.203125] 33342: [discriminator loss: 0.504242, acc: 0.726562] [adversarial loss: 1.560342, acc: 0.125000] 33343: [discriminator loss: 0.429458, acc: 0.781250] [adversarial loss: 1.900043, acc: 0.156250] 33344: [discriminator loss: 0.572037, acc: 0.679688] [adversarial loss: 1.271411, acc: 0.296875] 33345: [discriminator loss: 0.534786, acc: 0.695312] [adversarial loss: 1.431850, acc: 0.218750] 33346: [discriminator loss: 0.513654, acc: 0.734375] [adversarial loss: 1.036986, acc: 0.343750] 33347: [discriminator loss: 0.460772, acc: 0.796875] [adversarial loss: 1.584476, acc: 0.140625] 33348: [discriminator loss: 0.518008, acc: 0.765625] [adversarial loss: 1.008981, acc: 0.343750] 33349: [discriminator loss: 0.500043, acc: 0.765625] [adversarial loss: 1.745352, acc: 0.140625] 33350: [discriminator loss: 0.494453, acc: 0.750000] [adversarial loss: 1.220432, acc: 0.312500] 33351: [discriminator loss: 0.605547, acc: 0.664062] [adversarial loss: 1.498473, acc: 0.187500] 33352: [discriminator loss: 0.450264, acc: 0.796875] [adversarial loss: 1.172989, acc: 0.281250] 33353: [discriminator loss: 0.515922, acc: 0.718750] [adversarial loss: 1.473029, acc: 0.187500] 33354: [discriminator loss: 0.484405, acc: 0.734375] [adversarial loss: 1.018435, acc: 0.359375] 33355: [discriminator loss: 0.538803, acc: 0.703125] [adversarial loss: 1.489057, acc: 0.171875] 33356: [discriminator loss: 0.626940, acc: 0.664062] [adversarial loss: 1.105531, acc: 0.234375] 33357: [discriminator loss: 0.515494, acc: 0.734375] [adversarial loss: 1.484771, acc: 0.109375] 33358: [discriminator loss: 0.440183, acc: 0.843750] [adversarial loss: 1.140807, acc: 0.343750] 33359: [discriminator loss: 0.560068, acc: 0.710938] [adversarial loss: 1.498259, acc: 0.187500] 33360: [discriminator loss: 0.564252, acc: 0.703125] [adversarial loss: 0.985319, acc: 0.375000] 33361: [discriminator loss: 0.563151, acc: 0.718750] [adversarial loss: 1.976603, acc: 0.109375] 33362: [discriminator loss: 0.572940, acc: 0.695312] [adversarial loss: 0.956864, acc: 0.500000] 33363: [discriminator loss: 0.515697, acc: 0.695312] [adversarial loss: 1.672288, acc: 0.093750] 33364: [discriminator loss: 0.582588, acc: 0.632812] [adversarial loss: 0.879742, acc: 0.515625] 33365: [discriminator loss: 0.566848, acc: 0.742188] [adversarial loss: 1.652280, acc: 0.187500] 33366: [discriminator loss: 0.533402, acc: 0.734375] [adversarial loss: 0.956541, acc: 0.421875] 33367: [discriminator loss: 0.535053, acc: 0.687500] [adversarial loss: 1.279149, acc: 0.171875] 33368: [discriminator loss: 0.489955, acc: 0.757812] [adversarial loss: 1.283825, acc: 0.218750] 33369: [discriminator loss: 0.554696, acc: 0.695312] [adversarial loss: 1.312497, acc: 0.250000] 33370: [discriminator loss: 0.453209, acc: 0.804688] [adversarial loss: 1.292392, acc: 0.187500] 33371: [discriminator loss: 0.519687, acc: 0.765625] [adversarial loss: 1.124329, acc: 0.218750] 33372: [discriminator loss: 0.480840, acc: 0.734375] [adversarial loss: 1.167464, acc: 0.281250] 33373: [discriminator loss: 0.569300, acc: 0.656250] [adversarial loss: 1.344960, acc: 0.250000] 33374: [discriminator loss: 0.438780, acc: 0.804688] [adversarial loss: 0.887012, acc: 0.437500] 33375: [discriminator loss: 0.476679, acc: 0.781250] [adversarial loss: 1.324281, acc: 0.250000] 33376: [discriminator loss: 0.502923, acc: 0.742188] [adversarial loss: 1.299943, acc: 0.234375] 33377: [discriminator loss: 0.475445, acc: 0.750000] [adversarial loss: 0.897419, acc: 0.453125] 33378: [discriminator loss: 0.490338, acc: 0.757812] [adversarial loss: 1.110431, acc: 0.281250] 33379: [discriminator loss: 0.515501, acc: 0.734375] [adversarial loss: 0.950727, acc: 0.406250] 33380: [discriminator loss: 0.556537, acc: 0.742188] [adversarial loss: 1.144490, acc: 0.265625] 33381: [discriminator loss: 0.451540, acc: 0.812500] [adversarial loss: 1.042621, acc: 0.359375] 33382: [discriminator loss: 0.544079, acc: 0.687500] [adversarial loss: 1.246845, acc: 0.218750] 33383: [discriminator loss: 0.477210, acc: 0.757812] [adversarial loss: 1.248872, acc: 0.296875] 33384: [discriminator loss: 0.555727, acc: 0.718750] [adversarial loss: 1.754927, acc: 0.093750] 33385: [discriminator loss: 0.532321, acc: 0.679688] [adversarial loss: 1.026582, acc: 0.421875] 33386: [discriminator loss: 0.497420, acc: 0.710938] [adversarial loss: 1.324160, acc: 0.265625] 33387: [discriminator loss: 0.508953, acc: 0.710938] [adversarial loss: 0.917953, acc: 0.375000] 33388: [discriminator loss: 0.525433, acc: 0.718750] [adversarial loss: 1.433635, acc: 0.203125] 33389: [discriminator loss: 0.505484, acc: 0.773438] [adversarial loss: 0.968656, acc: 0.515625] 33390: [discriminator loss: 0.566431, acc: 0.742188] [adversarial loss: 1.629153, acc: 0.125000] 33391: [discriminator loss: 0.518341, acc: 0.703125] [adversarial loss: 0.897152, acc: 0.468750] 33392: [discriminator loss: 0.545692, acc: 0.734375] [adversarial loss: 1.634200, acc: 0.046875] 33393: [discriminator loss: 0.591430, acc: 0.687500] [adversarial loss: 0.982077, acc: 0.468750] 33394: [discriminator loss: 0.556228, acc: 0.695312] [adversarial loss: 1.696224, acc: 0.062500] 33395: [discriminator loss: 0.645054, acc: 0.585938] [adversarial loss: 0.863704, acc: 0.500000] 33396: [discriminator loss: 0.498445, acc: 0.789062] [adversarial loss: 1.178248, acc: 0.218750] 33397: [discriminator loss: 0.459857, acc: 0.781250] [adversarial loss: 1.303879, acc: 0.250000] 33398: [discriminator loss: 0.498618, acc: 0.703125] [adversarial loss: 1.222343, acc: 0.234375] 33399: [discriminator loss: 0.466182, acc: 0.789062] [adversarial loss: 0.879287, acc: 0.453125] 33400: [discriminator loss: 0.555589, acc: 0.765625] [adversarial loss: 1.251687, acc: 0.265625] 33401: [discriminator loss: 0.662038, acc: 0.609375] [adversarial loss: 0.970133, acc: 0.375000] 33402: [discriminator loss: 0.501159, acc: 0.789062] [adversarial loss: 1.399660, acc: 0.203125] 33403: [discriminator loss: 0.551741, acc: 0.671875] [adversarial loss: 1.252614, acc: 0.203125] 33404: [discriminator loss: 0.509670, acc: 0.742188] [adversarial loss: 1.252008, acc: 0.281250] 33405: [discriminator loss: 0.527966, acc: 0.718750] [adversarial loss: 1.200825, acc: 0.187500] 33406: [discriminator loss: 0.573288, acc: 0.726562] [adversarial loss: 1.417257, acc: 0.171875] 33407: [discriminator loss: 0.510440, acc: 0.726562] [adversarial loss: 1.234501, acc: 0.296875] 33408: [discriminator loss: 0.529044, acc: 0.687500] [adversarial loss: 1.192865, acc: 0.296875] 33409: [discriminator loss: 0.426921, acc: 0.812500] [adversarial loss: 1.333294, acc: 0.187500] 33410: [discriminator loss: 0.534716, acc: 0.687500] [adversarial loss: 1.236068, acc: 0.218750] 33411: [discriminator loss: 0.538789, acc: 0.695312] [adversarial loss: 1.316723, acc: 0.234375] 33412: [discriminator loss: 0.510201, acc: 0.750000] [adversarial loss: 1.168102, acc: 0.359375] 33413: [discriminator loss: 0.531312, acc: 0.710938] [adversarial loss: 1.252977, acc: 0.203125] 33414: [discriminator loss: 0.570355, acc: 0.718750] [adversarial loss: 0.965578, acc: 0.500000] 33415: [discriminator loss: 0.503354, acc: 0.789062] [adversarial loss: 1.348699, acc: 0.187500] 33416: [discriminator loss: 0.464776, acc: 0.789062] [adversarial loss: 0.780250, acc: 0.562500] 33417: [discriminator loss: 0.586584, acc: 0.664062] [adversarial loss: 1.313532, acc: 0.218750] 33418: [discriminator loss: 0.519379, acc: 0.757812] [adversarial loss: 0.900770, acc: 0.468750] 33419: [discriminator loss: 0.571065, acc: 0.710938] [adversarial loss: 1.715015, acc: 0.109375] 33420: [discriminator loss: 0.650041, acc: 0.632812] [adversarial loss: 0.813748, acc: 0.500000] 33421: [discriminator loss: 0.503395, acc: 0.765625] [adversarial loss: 1.445704, acc: 0.156250] 33422: [discriminator loss: 0.496657, acc: 0.765625] [adversarial loss: 1.096278, acc: 0.312500] 33423: [discriminator loss: 0.491686, acc: 0.773438] [adversarial loss: 1.293974, acc: 0.187500] 33424: [discriminator loss: 0.482526, acc: 0.734375] [adversarial loss: 1.239360, acc: 0.359375] 33425: [discriminator loss: 0.517385, acc: 0.734375] [adversarial loss: 1.019540, acc: 0.375000] 33426: [discriminator loss: 0.502257, acc: 0.742188] [adversarial loss: 0.904330, acc: 0.375000] 33427: [discriminator loss: 0.499310, acc: 0.781250] [adversarial loss: 1.240787, acc: 0.265625] 33428: [discriminator loss: 0.510834, acc: 0.718750] [adversarial loss: 1.167331, acc: 0.312500] 33429: [discriminator loss: 0.443482, acc: 0.804688] [adversarial loss: 1.052961, acc: 0.390625] 33430: [discriminator loss: 0.515865, acc: 0.796875] [adversarial loss: 1.325788, acc: 0.187500] 33431: [discriminator loss: 0.552903, acc: 0.679688] [adversarial loss: 0.861508, acc: 0.484375] 33432: [discriminator loss: 0.487381, acc: 0.710938] [adversarial loss: 1.364686, acc: 0.171875] 33433: [discriminator loss: 0.476463, acc: 0.750000] [adversarial loss: 0.723805, acc: 0.562500] 33434: [discriminator loss: 0.512536, acc: 0.742188] [adversarial loss: 1.824432, acc: 0.171875] 33435: [discriminator loss: 0.573057, acc: 0.710938] [adversarial loss: 0.710456, acc: 0.625000] 33436: [discriminator loss: 0.558030, acc: 0.671875] [adversarial loss: 1.702816, acc: 0.093750] 33437: [discriminator loss: 0.476815, acc: 0.781250] [adversarial loss: 0.883160, acc: 0.453125] 33438: [discriminator loss: 0.451098, acc: 0.781250] [adversarial loss: 1.204942, acc: 0.281250] 33439: [discriminator loss: 0.442762, acc: 0.773438] [adversarial loss: 1.438947, acc: 0.187500] 33440: [discriminator loss: 0.507106, acc: 0.726562] [adversarial loss: 1.496050, acc: 0.187500] 33441: [discriminator loss: 0.514579, acc: 0.726562] [adversarial loss: 1.554752, acc: 0.125000] 33442: [discriminator loss: 0.415145, acc: 0.804688] [adversarial loss: 1.816198, acc: 0.109375] 33443: [discriminator loss: 0.417810, acc: 0.781250] [adversarial loss: 1.468690, acc: 0.218750] 33444: [discriminator loss: 0.565533, acc: 0.703125] [adversarial loss: 1.651740, acc: 0.140625] 33445: [discriminator loss: 0.513239, acc: 0.710938] [adversarial loss: 1.226059, acc: 0.218750] 33446: [discriminator loss: 0.470618, acc: 0.726562] [adversarial loss: 1.510290, acc: 0.234375] 33447: [discriminator loss: 0.470838, acc: 0.765625] [adversarial loss: 1.059942, acc: 0.359375] 33448: [discriminator loss: 0.509178, acc: 0.789062] [adversarial loss: 1.404828, acc: 0.312500] 33449: [discriminator loss: 0.480920, acc: 0.742188] [adversarial loss: 1.076920, acc: 0.390625] 33450: [discriminator loss: 0.535852, acc: 0.718750] [adversarial loss: 1.373415, acc: 0.250000] 33451: [discriminator loss: 0.478456, acc: 0.726562] [adversarial loss: 0.930099, acc: 0.484375] 33452: [discriminator loss: 0.575683, acc: 0.703125] [adversarial loss: 1.962271, acc: 0.046875] 33453: [discriminator loss: 0.507807, acc: 0.742188] [adversarial loss: 0.784944, acc: 0.500000] 33454: [discriminator loss: 0.534203, acc: 0.742188] [adversarial loss: 2.182538, acc: 0.062500] 33455: [discriminator loss: 0.516834, acc: 0.734375] [adversarial loss: 1.121938, acc: 0.453125] 33456: [discriminator loss: 0.523516, acc: 0.742188] [adversarial loss: 1.837074, acc: 0.031250] 33457: [discriminator loss: 0.536736, acc: 0.773438] [adversarial loss: 1.198917, acc: 0.296875] 33458: [discriminator loss: 0.445429, acc: 0.789062] [adversarial loss: 1.739421, acc: 0.078125] 33459: [discriminator loss: 0.466643, acc: 0.773438] [adversarial loss: 1.640074, acc: 0.156250] 33460: [discriminator loss: 0.473320, acc: 0.796875] [adversarial loss: 1.664708, acc: 0.140625] 33461: [discriminator loss: 0.438414, acc: 0.812500] [adversarial loss: 1.571340, acc: 0.156250] 33462: [discriminator loss: 0.432766, acc: 0.773438] [adversarial loss: 1.446982, acc: 0.187500] 33463: [discriminator loss: 0.510233, acc: 0.687500] [adversarial loss: 0.992551, acc: 0.453125] 33464: [discriminator loss: 0.452805, acc: 0.757812] [adversarial loss: 1.578496, acc: 0.109375] 33465: [discriminator loss: 0.443761, acc: 0.765625] [adversarial loss: 1.373065, acc: 0.250000] 33466: [discriminator loss: 0.493328, acc: 0.757812] [adversarial loss: 1.232542, acc: 0.328125] 33467: [discriminator loss: 0.479984, acc: 0.742188] [adversarial loss: 1.788776, acc: 0.125000] 33468: [discriminator loss: 0.433074, acc: 0.781250] [adversarial loss: 1.181084, acc: 0.343750] 33469: [discriminator loss: 0.473750, acc: 0.773438] [adversarial loss: 0.946616, acc: 0.437500] 33470: [discriminator loss: 0.539158, acc: 0.718750] [adversarial loss: 1.866181, acc: 0.140625] 33471: [discriminator loss: 0.542393, acc: 0.687500] [adversarial loss: 0.682203, acc: 0.656250] 33472: [discriminator loss: 0.603450, acc: 0.687500] [adversarial loss: 1.927787, acc: 0.031250] 33473: [discriminator loss: 0.503904, acc: 0.734375] [adversarial loss: 1.002119, acc: 0.343750] 33474: [discriminator loss: 0.517864, acc: 0.703125] [adversarial loss: 1.486139, acc: 0.109375] 33475: [discriminator loss: 0.429746, acc: 0.804688] [adversarial loss: 1.068613, acc: 0.359375] 33476: [discriminator loss: 0.531630, acc: 0.718750] [adversarial loss: 1.332611, acc: 0.250000] 33477: [discriminator loss: 0.464274, acc: 0.789062] [adversarial loss: 1.539406, acc: 0.218750] 33478: [discriminator loss: 0.462925, acc: 0.781250] [adversarial loss: 0.932036, acc: 0.500000] 33479: [discriminator loss: 0.470170, acc: 0.781250] [adversarial loss: 1.351313, acc: 0.312500] 33480: [discriminator loss: 0.460588, acc: 0.765625] [adversarial loss: 1.063907, acc: 0.406250] 33481: [discriminator loss: 0.430741, acc: 0.796875] [adversarial loss: 1.431232, acc: 0.281250] 33482: [discriminator loss: 0.501016, acc: 0.726562] [adversarial loss: 0.886683, acc: 0.546875] 33483: [discriminator loss: 0.572391, acc: 0.710938] [adversarial loss: 1.466820, acc: 0.140625] 33484: [discriminator loss: 0.549230, acc: 0.726562] [adversarial loss: 0.686872, acc: 0.609375] 33485: [discriminator loss: 0.493272, acc: 0.734375] [adversarial loss: 1.498704, acc: 0.250000] 33486: [discriminator loss: 0.543983, acc: 0.703125] [adversarial loss: 0.931691, acc: 0.406250] 33487: [discriminator loss: 0.459693, acc: 0.820312] [adversarial loss: 1.286935, acc: 0.343750] 33488: [discriminator loss: 0.489746, acc: 0.750000] [adversarial loss: 1.226190, acc: 0.234375] 33489: [discriminator loss: 0.455406, acc: 0.757812] [adversarial loss: 0.955047, acc: 0.421875] 33490: [discriminator loss: 0.506672, acc: 0.757812] [adversarial loss: 1.584799, acc: 0.140625] 33491: [discriminator loss: 0.490831, acc: 0.710938] [adversarial loss: 0.952313, acc: 0.500000] 33492: [discriminator loss: 0.401603, acc: 0.804688] [adversarial loss: 1.042738, acc: 0.375000] 33493: [discriminator loss: 0.572203, acc: 0.718750] [adversarial loss: 1.206872, acc: 0.281250] 33494: [discriminator loss: 0.481925, acc: 0.757812] [adversarial loss: 1.138036, acc: 0.375000] 33495: [discriminator loss: 0.441702, acc: 0.812500] [adversarial loss: 1.199372, acc: 0.234375] 33496: [discriminator loss: 0.461695, acc: 0.765625] [adversarial loss: 1.444984, acc: 0.218750] 33497: [discriminator loss: 0.495305, acc: 0.765625] [adversarial loss: 1.128998, acc: 0.406250] 33498: [discriminator loss: 0.471669, acc: 0.796875] [adversarial loss: 1.472643, acc: 0.093750] 33499: [discriminator loss: 0.596590, acc: 0.718750] [adversarial loss: 0.883068, acc: 0.421875] 33500: [discriminator loss: 0.563127, acc: 0.703125] [adversarial loss: 1.475835, acc: 0.125000] 33501: [discriminator loss: 0.501744, acc: 0.757812] [adversarial loss: 0.906487, acc: 0.468750] 33502: [discriminator loss: 0.538027, acc: 0.726562] [adversarial loss: 1.541292, acc: 0.093750] 33503: [discriminator loss: 0.528559, acc: 0.703125] [adversarial loss: 0.976094, acc: 0.406250] 33504: [discriminator loss: 0.532042, acc: 0.718750] [adversarial loss: 1.967563, acc: 0.046875] 33505: [discriminator loss: 0.540876, acc: 0.734375] [adversarial loss: 0.998900, acc: 0.437500] 33506: [discriminator loss: 0.525280, acc: 0.734375] [adversarial loss: 1.654003, acc: 0.125000] 33507: [discriminator loss: 0.464473, acc: 0.750000] [adversarial loss: 0.999657, acc: 0.421875] 33508: [discriminator loss: 0.523485, acc: 0.742188] [adversarial loss: 1.324100, acc: 0.203125] 33509: [discriminator loss: 0.446050, acc: 0.773438] [adversarial loss: 1.109130, acc: 0.296875] 33510: [discriminator loss: 0.467205, acc: 0.773438] [adversarial loss: 1.563567, acc: 0.171875] 33511: [discriminator loss: 0.553709, acc: 0.781250] [adversarial loss: 1.091428, acc: 0.359375] 33512: [discriminator loss: 0.430676, acc: 0.796875] [adversarial loss: 0.964476, acc: 0.375000] 33513: [discriminator loss: 0.513444, acc: 0.742188] [adversarial loss: 1.579493, acc: 0.187500] 33514: [discriminator loss: 0.549699, acc: 0.664062] [adversarial loss: 0.988869, acc: 0.421875] 33515: [discriminator loss: 0.491751, acc: 0.765625] [adversarial loss: 1.338769, acc: 0.234375] 33516: [discriminator loss: 0.480126, acc: 0.742188] [adversarial loss: 1.225744, acc: 0.265625] 33517: [discriminator loss: 0.529802, acc: 0.726562] [adversarial loss: 1.426243, acc: 0.140625] 33518: [discriminator loss: 0.524854, acc: 0.750000] [adversarial loss: 1.352624, acc: 0.171875] 33519: [discriminator loss: 0.576868, acc: 0.687500] [adversarial loss: 1.176060, acc: 0.265625] 33520: [discriminator loss: 0.477474, acc: 0.796875] [adversarial loss: 0.964322, acc: 0.406250] 33521: [discriminator loss: 0.471412, acc: 0.757812] [adversarial loss: 1.851786, acc: 0.046875] 33522: [discriminator loss: 0.569266, acc: 0.718750] [adversarial loss: 0.915976, acc: 0.468750] 33523: [discriminator loss: 0.590011, acc: 0.679688] [adversarial loss: 1.996891, acc: 0.031250] 33524: [discriminator loss: 0.539838, acc: 0.718750] [adversarial loss: 0.870381, acc: 0.468750] 33525: [discriminator loss: 0.537509, acc: 0.718750] [adversarial loss: 1.177098, acc: 0.281250] 33526: [discriminator loss: 0.459164, acc: 0.796875] [adversarial loss: 1.099361, acc: 0.421875] 33527: [discriminator loss: 0.438080, acc: 0.750000] [adversarial loss: 1.587156, acc: 0.156250] 33528: [discriminator loss: 0.592685, acc: 0.710938] [adversarial loss: 0.801316, acc: 0.562500] 33529: [discriminator loss: 0.601256, acc: 0.656250] [adversarial loss: 1.947069, acc: 0.062500] 33530: [discriminator loss: 0.572106, acc: 0.703125] [adversarial loss: 1.120451, acc: 0.343750] 33531: [discriminator loss: 0.535492, acc: 0.703125] [adversarial loss: 1.847000, acc: 0.125000] 33532: [discriminator loss: 0.607850, acc: 0.687500] [adversarial loss: 1.128037, acc: 0.343750] 33533: [discriminator loss: 0.481378, acc: 0.757812] [adversarial loss: 1.327605, acc: 0.359375] 33534: [discriminator loss: 0.527259, acc: 0.718750] [adversarial loss: 1.036334, acc: 0.406250] 33535: [discriminator loss: 0.543887, acc: 0.656250] [adversarial loss: 1.740776, acc: 0.171875] 33536: [discriminator loss: 0.583150, acc: 0.679688] [adversarial loss: 1.128241, acc: 0.312500] 33537: [discriminator loss: 0.516107, acc: 0.742188] [adversarial loss: 1.704020, acc: 0.140625] 33538: [discriminator loss: 0.482871, acc: 0.757812] [adversarial loss: 1.081627, acc: 0.312500] 33539: [discriminator loss: 0.536857, acc: 0.789062] [adversarial loss: 1.349866, acc: 0.156250] 33540: [discriminator loss: 0.541566, acc: 0.718750] [adversarial loss: 1.267428, acc: 0.250000] 33541: [discriminator loss: 0.487459, acc: 0.757812] [adversarial loss: 1.262018, acc: 0.218750] 33542: [discriminator loss: 0.449297, acc: 0.796875] [adversarial loss: 1.331070, acc: 0.296875] 33543: [discriminator loss: 0.486569, acc: 0.750000] [adversarial loss: 1.382591, acc: 0.218750] 33544: [discriminator loss: 0.486362, acc: 0.750000] [adversarial loss: 1.141748, acc: 0.328125] 33545: [discriminator loss: 0.524190, acc: 0.726562] [adversarial loss: 1.182724, acc: 0.312500] 33546: [discriminator loss: 0.500184, acc: 0.750000] [adversarial loss: 0.899911, acc: 0.390625] 33547: [discriminator loss: 0.480945, acc: 0.757812] [adversarial loss: 1.318501, acc: 0.250000] 33548: [discriminator loss: 0.451311, acc: 0.796875] [adversarial loss: 1.382151, acc: 0.140625] 33549: [discriminator loss: 0.546315, acc: 0.703125] [adversarial loss: 1.165616, acc: 0.218750] 33550: [discriminator loss: 0.504665, acc: 0.734375] [adversarial loss: 1.322734, acc: 0.296875] 33551: [discriminator loss: 0.507520, acc: 0.742188] [adversarial loss: 1.435966, acc: 0.125000] 33552: [discriminator loss: 0.521390, acc: 0.742188] [adversarial loss: 0.926690, acc: 0.484375] 33553: [discriminator loss: 0.531104, acc: 0.703125] [adversarial loss: 1.638034, acc: 0.093750] 33554: [discriminator loss: 0.462822, acc: 0.765625] [adversarial loss: 1.308447, acc: 0.203125] 33555: [discriminator loss: 0.504040, acc: 0.664062] [adversarial loss: 1.424383, acc: 0.203125] 33556: [discriminator loss: 0.485371, acc: 0.796875] [adversarial loss: 1.751196, acc: 0.109375] 33557: [discriminator loss: 0.544351, acc: 0.703125] [adversarial loss: 1.371265, acc: 0.203125] 33558: [discriminator loss: 0.528291, acc: 0.734375] [adversarial loss: 1.281783, acc: 0.093750] 33559: [discriminator loss: 0.511272, acc: 0.726562] [adversarial loss: 1.343987, acc: 0.218750] 33560: [discriminator loss: 0.517444, acc: 0.726562] [adversarial loss: 1.124536, acc: 0.375000] 33561: [discriminator loss: 0.545572, acc: 0.703125] [adversarial loss: 1.176014, acc: 0.234375] 33562: [discriminator loss: 0.550661, acc: 0.695312] [adversarial loss: 1.695942, acc: 0.125000] 33563: [discriminator loss: 0.557051, acc: 0.687500] [adversarial loss: 1.281410, acc: 0.281250] 33564: [discriminator loss: 0.499327, acc: 0.773438] [adversarial loss: 1.568154, acc: 0.125000] 33565: [discriminator loss: 0.521730, acc: 0.718750] [adversarial loss: 0.976769, acc: 0.359375] 33566: [discriminator loss: 0.517603, acc: 0.742188] [adversarial loss: 1.720961, acc: 0.156250] 33567: [discriminator loss: 0.549759, acc: 0.726562] [adversarial loss: 1.216298, acc: 0.328125] 33568: [discriminator loss: 0.514951, acc: 0.726562] [adversarial loss: 1.653493, acc: 0.125000] 33569: [discriminator loss: 0.585375, acc: 0.695312] [adversarial loss: 1.110984, acc: 0.296875] 33570: [discriminator loss: 0.544947, acc: 0.718750] [adversarial loss: 1.754441, acc: 0.140625] 33571: [discriminator loss: 0.654948, acc: 0.640625] [adversarial loss: 0.767165, acc: 0.546875] 33572: [discriminator loss: 0.612529, acc: 0.695312] [adversarial loss: 1.634790, acc: 0.125000] 33573: [discriminator loss: 0.549552, acc: 0.687500] [adversarial loss: 1.017550, acc: 0.437500] 33574: [discriminator loss: 0.500439, acc: 0.781250] [adversarial loss: 1.504356, acc: 0.250000] 33575: [discriminator loss: 0.522981, acc: 0.765625] [adversarial loss: 1.000703, acc: 0.406250] 33576: [discriminator loss: 0.529572, acc: 0.695312] [adversarial loss: 1.394850, acc: 0.203125] 33577: [discriminator loss: 0.451451, acc: 0.773438] [adversarial loss: 1.137493, acc: 0.296875] 33578: [discriminator loss: 0.533738, acc: 0.726562] [adversarial loss: 1.477987, acc: 0.109375] 33579: [discriminator loss: 0.463738, acc: 0.812500] [adversarial loss: 1.070233, acc: 0.390625] 33580: [discriminator loss: 0.487143, acc: 0.734375] [adversarial loss: 1.182179, acc: 0.281250] 33581: [discriminator loss: 0.461546, acc: 0.757812] [adversarial loss: 1.245556, acc: 0.265625] 33582: [discriminator loss: 0.565922, acc: 0.703125] [adversarial loss: 1.322173, acc: 0.250000] 33583: [discriminator loss: 0.488273, acc: 0.757812] [adversarial loss: 1.000956, acc: 0.406250] 33584: [discriminator loss: 0.444401, acc: 0.789062] [adversarial loss: 1.030453, acc: 0.390625] 33585: [discriminator loss: 0.481796, acc: 0.734375] [adversarial loss: 1.233990, acc: 0.234375] 33586: [discriminator loss: 0.511179, acc: 0.726562] [adversarial loss: 1.050008, acc: 0.265625] 33587: [discriminator loss: 0.526715, acc: 0.734375] [adversarial loss: 1.347388, acc: 0.234375] 33588: [discriminator loss: 0.420925, acc: 0.820312] [adversarial loss: 0.967978, acc: 0.406250] 33589: [discriminator loss: 0.512444, acc: 0.757812] [adversarial loss: 1.397766, acc: 0.218750] 33590: [discriminator loss: 0.559535, acc: 0.726562] [adversarial loss: 1.264246, acc: 0.265625] 33591: [discriminator loss: 0.485566, acc: 0.757812] [adversarial loss: 1.602695, acc: 0.171875] 33592: [discriminator loss: 0.508496, acc: 0.734375] [adversarial loss: 1.097356, acc: 0.265625] 33593: [discriminator loss: 0.462112, acc: 0.750000] [adversarial loss: 1.607793, acc: 0.171875] 33594: [discriminator loss: 0.486811, acc: 0.734375] [adversarial loss: 1.126879, acc: 0.343750] 33595: [discriminator loss: 0.511393, acc: 0.765625] [adversarial loss: 1.615985, acc: 0.078125] 33596: [discriminator loss: 0.622448, acc: 0.687500] [adversarial loss: 1.011592, acc: 0.468750] 33597: [discriminator loss: 0.511364, acc: 0.757812] [adversarial loss: 1.440343, acc: 0.171875] 33598: [discriminator loss: 0.528545, acc: 0.718750] [adversarial loss: 1.085654, acc: 0.359375] 33599: [discriminator loss: 0.639266, acc: 0.671875] [adversarial loss: 1.887886, acc: 0.062500] 33600: [discriminator loss: 0.651118, acc: 0.648438] [adversarial loss: 0.716970, acc: 0.609375] 33601: [discriminator loss: 0.595495, acc: 0.687500] [adversarial loss: 1.921082, acc: 0.078125] 33602: [discriminator loss: 0.551381, acc: 0.734375] [adversarial loss: 0.960943, acc: 0.421875] 33603: [discriminator loss: 0.588638, acc: 0.648438] [adversarial loss: 1.477302, acc: 0.234375] 33604: [discriminator loss: 0.523606, acc: 0.710938] [adversarial loss: 1.013242, acc: 0.390625] 33605: [discriminator loss: 0.526487, acc: 0.742188] [adversarial loss: 1.196005, acc: 0.203125] 33606: [discriminator loss: 0.575468, acc: 0.679688] [adversarial loss: 1.360058, acc: 0.250000] 33607: [discriminator loss: 0.549633, acc: 0.664062] [adversarial loss: 1.353231, acc: 0.234375] 33608: [discriminator loss: 0.566146, acc: 0.695312] [adversarial loss: 1.226996, acc: 0.265625] 33609: [discriminator loss: 0.576407, acc: 0.687500] [adversarial loss: 1.413988, acc: 0.171875] 33610: [discriminator loss: 0.564512, acc: 0.671875] [adversarial loss: 0.901254, acc: 0.484375] 33611: [discriminator loss: 0.570931, acc: 0.671875] [adversarial loss: 1.570719, acc: 0.109375] 33612: [discriminator loss: 0.487984, acc: 0.773438] [adversarial loss: 1.228457, acc: 0.234375] 33613: [discriminator loss: 0.555306, acc: 0.734375] [adversarial loss: 1.193611, acc: 0.234375] 33614: [discriminator loss: 0.493064, acc: 0.765625] [adversarial loss: 1.097154, acc: 0.359375] 33615: [discriminator loss: 0.531420, acc: 0.742188] [adversarial loss: 1.266044, acc: 0.218750] 33616: [discriminator loss: 0.516876, acc: 0.710938] [adversarial loss: 1.015668, acc: 0.359375] 33617: [discriminator loss: 0.500492, acc: 0.804688] [adversarial loss: 1.585166, acc: 0.078125] 33618: [discriminator loss: 0.505194, acc: 0.710938] [adversarial loss: 1.152872, acc: 0.343750] 33619: [discriminator loss: 0.658246, acc: 0.640625] [adversarial loss: 1.847876, acc: 0.078125] 33620: [discriminator loss: 0.559349, acc: 0.679688] [adversarial loss: 0.800186, acc: 0.546875] 33621: [discriminator loss: 0.537734, acc: 0.703125] [adversarial loss: 1.424662, acc: 0.187500] 33622: [discriminator loss: 0.517630, acc: 0.726562] [adversarial loss: 1.201029, acc: 0.265625] 33623: [discriminator loss: 0.502331, acc: 0.742188] [adversarial loss: 1.457457, acc: 0.125000] 33624: [discriminator loss: 0.484210, acc: 0.726562] [adversarial loss: 0.982115, acc: 0.375000] 33625: [discriminator loss: 0.563319, acc: 0.695312] [adversarial loss: 1.304942, acc: 0.203125] 33626: [discriminator loss: 0.484706, acc: 0.765625] [adversarial loss: 1.254552, acc: 0.312500] 33627: [discriminator loss: 0.548450, acc: 0.703125] [adversarial loss: 1.340731, acc: 0.250000] 33628: [discriminator loss: 0.565260, acc: 0.734375] [adversarial loss: 1.090892, acc: 0.265625] 33629: [discriminator loss: 0.536699, acc: 0.742188] [adversarial loss: 1.795388, acc: 0.062500] 33630: [discriminator loss: 0.529034, acc: 0.710938] [adversarial loss: 1.019923, acc: 0.312500] 33631: [discriminator loss: 0.527885, acc: 0.703125] [adversarial loss: 1.835089, acc: 0.046875] 33632: [discriminator loss: 0.609405, acc: 0.679688] [adversarial loss: 1.114564, acc: 0.265625] 33633: [discriminator loss: 0.506726, acc: 0.773438] [adversarial loss: 1.410791, acc: 0.156250] 33634: [discriminator loss: 0.540152, acc: 0.726562] [adversarial loss: 0.946837, acc: 0.437500] 33635: [discriminator loss: 0.522595, acc: 0.726562] [adversarial loss: 1.548102, acc: 0.109375] 33636: [discriminator loss: 0.493779, acc: 0.757812] [adversarial loss: 1.148196, acc: 0.312500] 33637: [discriminator loss: 0.556683, acc: 0.757812] [adversarial loss: 1.471349, acc: 0.156250] 33638: [discriminator loss: 0.443268, acc: 0.804688] [adversarial loss: 1.276703, acc: 0.218750] 33639: [discriminator loss: 0.446686, acc: 0.796875] [adversarial loss: 1.297855, acc: 0.218750] 33640: [discriminator loss: 0.484887, acc: 0.796875] [adversarial loss: 1.506854, acc: 0.203125] 33641: [discriminator loss: 0.474025, acc: 0.789062] [adversarial loss: 1.165262, acc: 0.296875] 33642: [discriminator loss: 0.500894, acc: 0.742188] [adversarial loss: 1.289385, acc: 0.187500] 33643: [discriminator loss: 0.497301, acc: 0.726562] [adversarial loss: 1.388780, acc: 0.218750] 33644: [discriminator loss: 0.510330, acc: 0.679688] [adversarial loss: 1.338628, acc: 0.218750] 33645: [discriminator loss: 0.511758, acc: 0.710938] [adversarial loss: 1.267317, acc: 0.343750] 33646: [discriminator loss: 0.427577, acc: 0.820312] [adversarial loss: 1.220598, acc: 0.296875] 33647: [discriminator loss: 0.568545, acc: 0.703125] [adversarial loss: 1.575101, acc: 0.078125] 33648: [discriminator loss: 0.545981, acc: 0.757812] [adversarial loss: 0.718857, acc: 0.562500] 33649: [discriminator loss: 0.571976, acc: 0.695312] [adversarial loss: 1.963288, acc: 0.078125] 33650: [discriminator loss: 0.568626, acc: 0.664062] [adversarial loss: 0.849605, acc: 0.500000] 33651: [discriminator loss: 0.617553, acc: 0.679688] [adversarial loss: 1.705050, acc: 0.078125] 33652: [discriminator loss: 0.588384, acc: 0.687500] [adversarial loss: 1.134679, acc: 0.265625] 33653: [discriminator loss: 0.535109, acc: 0.742188] [adversarial loss: 1.431159, acc: 0.250000] 33654: [discriminator loss: 0.486168, acc: 0.765625] [adversarial loss: 1.491619, acc: 0.187500] 33655: [discriminator loss: 0.516294, acc: 0.796875] [adversarial loss: 1.132516, acc: 0.328125] 33656: [discriminator loss: 0.506861, acc: 0.726562] [adversarial loss: 1.410713, acc: 0.187500] 33657: [discriminator loss: 0.449763, acc: 0.789062] [adversarial loss: 1.224079, acc: 0.265625] 33658: [discriminator loss: 0.535457, acc: 0.718750] [adversarial loss: 1.177080, acc: 0.265625] 33659: [discriminator loss: 0.505719, acc: 0.765625] [adversarial loss: 1.088512, acc: 0.390625] 33660: [discriminator loss: 0.520644, acc: 0.773438] [adversarial loss: 1.258882, acc: 0.218750] 33661: [discriminator loss: 0.506405, acc: 0.710938] [adversarial loss: 1.346872, acc: 0.171875] 33662: [discriminator loss: 0.475476, acc: 0.781250] [adversarial loss: 1.132814, acc: 0.343750] 33663: [discriminator loss: 0.581313, acc: 0.671875] [adversarial loss: 1.311311, acc: 0.203125] 33664: [discriminator loss: 0.467098, acc: 0.812500] [adversarial loss: 1.478245, acc: 0.140625] 33665: [discriminator loss: 0.458687, acc: 0.796875] [adversarial loss: 1.457094, acc: 0.218750] 33666: [discriminator loss: 0.516335, acc: 0.734375] [adversarial loss: 1.402516, acc: 0.218750] 33667: [discriminator loss: 0.626663, acc: 0.671875] [adversarial loss: 1.103094, acc: 0.406250] 33668: [discriminator loss: 0.546655, acc: 0.742188] [adversarial loss: 1.827249, acc: 0.125000] 33669: [discriminator loss: 0.541180, acc: 0.710938] [adversarial loss: 0.942211, acc: 0.406250] 33670: [discriminator loss: 0.532056, acc: 0.710938] [adversarial loss: 1.774829, acc: 0.140625] 33671: [discriminator loss: 0.520715, acc: 0.718750] [adversarial loss: 1.040448, acc: 0.343750] 33672: [discriminator loss: 0.530365, acc: 0.718750] [adversarial loss: 1.752391, acc: 0.078125] 33673: [discriminator loss: 0.532052, acc: 0.710938] [adversarial loss: 0.937063, acc: 0.453125] 33674: [discriminator loss: 0.556275, acc: 0.734375] [adversarial loss: 1.785027, acc: 0.046875] 33675: [discriminator loss: 0.527493, acc: 0.703125] [adversarial loss: 1.133244, acc: 0.343750] 33676: [discriminator loss: 0.593728, acc: 0.671875] [adversarial loss: 1.188516, acc: 0.203125] 33677: [discriminator loss: 0.556731, acc: 0.703125] [adversarial loss: 1.159753, acc: 0.296875] 33678: [discriminator loss: 0.456901, acc: 0.789062] [adversarial loss: 1.698434, acc: 0.109375] 33679: [discriminator loss: 0.499635, acc: 0.773438] [adversarial loss: 1.505549, acc: 0.140625] 33680: [discriminator loss: 0.578560, acc: 0.679688] [adversarial loss: 1.270262, acc: 0.250000] 33681: [discriminator loss: 0.524420, acc: 0.757812] [adversarial loss: 1.620894, acc: 0.171875] 33682: [discriminator loss: 0.556785, acc: 0.726562] [adversarial loss: 1.112234, acc: 0.312500] 33683: [discriminator loss: 0.621949, acc: 0.687500] [adversarial loss: 1.745735, acc: 0.046875] 33684: [discriminator loss: 0.527928, acc: 0.734375] [adversarial loss: 1.031301, acc: 0.421875] 33685: [discriminator loss: 0.611626, acc: 0.664062] [adversarial loss: 1.165104, acc: 0.250000] 33686: [discriminator loss: 0.522074, acc: 0.750000] [adversarial loss: 1.273654, acc: 0.250000] 33687: [discriminator loss: 0.508417, acc: 0.757812] [adversarial loss: 1.284220, acc: 0.171875] 33688: [discriminator loss: 0.440237, acc: 0.812500] [adversarial loss: 1.321766, acc: 0.140625] 33689: [discriminator loss: 0.521788, acc: 0.742188] [adversarial loss: 1.065748, acc: 0.328125] 33690: [discriminator loss: 0.543673, acc: 0.679688] [adversarial loss: 1.235462, acc: 0.218750] 33691: [discriminator loss: 0.572294, acc: 0.671875] [adversarial loss: 0.971823, acc: 0.484375] 33692: [discriminator loss: 0.475038, acc: 0.781250] [adversarial loss: 1.216286, acc: 0.343750] 33693: [discriminator loss: 0.472920, acc: 0.796875] [adversarial loss: 1.326610, acc: 0.187500] 33694: [discriminator loss: 0.453033, acc: 0.789062] [adversarial loss: 1.424871, acc: 0.187500] 33695: [discriminator loss: 0.466753, acc: 0.796875] [adversarial loss: 1.177546, acc: 0.281250] 33696: [discriminator loss: 0.579554, acc: 0.710938] [adversarial loss: 1.773803, acc: 0.109375] 33697: [discriminator loss: 0.564000, acc: 0.687500] [adversarial loss: 0.893282, acc: 0.390625] 33698: [discriminator loss: 0.556387, acc: 0.687500] [adversarial loss: 1.724717, acc: 0.140625] 33699: [discriminator loss: 0.494830, acc: 0.710938] [adversarial loss: 0.998181, acc: 0.343750] 33700: [discriminator loss: 0.481591, acc: 0.773438] [adversarial loss: 1.448764, acc: 0.250000] 33701: [discriminator loss: 0.535425, acc: 0.734375] [adversarial loss: 0.999994, acc: 0.406250] 33702: [discriminator loss: 0.478054, acc: 0.789062] [adversarial loss: 1.497414, acc: 0.234375] 33703: [discriminator loss: 0.522464, acc: 0.703125] [adversarial loss: 0.989132, acc: 0.359375] 33704: [discriminator loss: 0.550265, acc: 0.718750] [adversarial loss: 1.487823, acc: 0.171875] 33705: [discriminator loss: 0.567630, acc: 0.679688] [adversarial loss: 0.902627, acc: 0.453125] 33706: [discriminator loss: 0.492288, acc: 0.789062] [adversarial loss: 1.263505, acc: 0.203125] 33707: [discriminator loss: 0.465635, acc: 0.789062] [adversarial loss: 0.991887, acc: 0.250000] 33708: [discriminator loss: 0.502074, acc: 0.765625] [adversarial loss: 1.074531, acc: 0.265625] 33709: [discriminator loss: 0.563004, acc: 0.695312] [adversarial loss: 1.043731, acc: 0.375000] 33710: [discriminator loss: 0.557442, acc: 0.687500] [adversarial loss: 1.154119, acc: 0.281250] 33711: [discriminator loss: 0.465875, acc: 0.781250] [adversarial loss: 1.008740, acc: 0.406250] 33712: [discriminator loss: 0.489030, acc: 0.757812] [adversarial loss: 1.596383, acc: 0.125000] 33713: [discriminator loss: 0.547432, acc: 0.703125] [adversarial loss: 0.744158, acc: 0.562500] 33714: [discriminator loss: 0.638390, acc: 0.648438] [adversarial loss: 2.031672, acc: 0.046875] 33715: [discriminator loss: 0.598674, acc: 0.671875] [adversarial loss: 0.921950, acc: 0.328125] 33716: [discriminator loss: 0.536077, acc: 0.750000] [adversarial loss: 1.684088, acc: 0.125000] 33717: [discriminator loss: 0.463105, acc: 0.773438] [adversarial loss: 1.110067, acc: 0.296875] 33718: [discriminator loss: 0.590305, acc: 0.664062] [adversarial loss: 1.369690, acc: 0.140625] 33719: [discriminator loss: 0.471634, acc: 0.781250] [adversarial loss: 1.168115, acc: 0.359375] 33720: [discriminator loss: 0.441648, acc: 0.835938] [adversarial loss: 1.732932, acc: 0.171875] 33721: [discriminator loss: 0.547723, acc: 0.687500] [adversarial loss: 0.973552, acc: 0.437500] 33722: [discriminator loss: 0.545203, acc: 0.679688] [adversarial loss: 1.526988, acc: 0.125000] 33723: [discriminator loss: 0.564515, acc: 0.679688] [adversarial loss: 1.399527, acc: 0.187500] 33724: [discriminator loss: 0.528363, acc: 0.726562] [adversarial loss: 1.224470, acc: 0.234375] 33725: [discriminator loss: 0.544578, acc: 0.726562] [adversarial loss: 1.219701, acc: 0.265625] 33726: [discriminator loss: 0.430066, acc: 0.796875] [adversarial loss: 1.287589, acc: 0.312500] 33727: [discriminator loss: 0.458182, acc: 0.781250] [adversarial loss: 1.542837, acc: 0.171875] 33728: [discriminator loss: 0.514300, acc: 0.765625] [adversarial loss: 0.923991, acc: 0.437500] 33729: [discriminator loss: 0.540858, acc: 0.734375] [adversarial loss: 1.691470, acc: 0.109375] 33730: [discriminator loss: 0.497825, acc: 0.765625] [adversarial loss: 1.176326, acc: 0.218750] 33731: [discriminator loss: 0.529225, acc: 0.734375] [adversarial loss: 1.793904, acc: 0.062500] 33732: [discriminator loss: 0.591687, acc: 0.695312] [adversarial loss: 0.877564, acc: 0.453125] 33733: [discriminator loss: 0.484981, acc: 0.757812] [adversarial loss: 1.322617, acc: 0.234375] 33734: [discriminator loss: 0.480701, acc: 0.765625] [adversarial loss: 0.989321, acc: 0.390625] 33735: [discriminator loss: 0.407553, acc: 0.812500] [adversarial loss: 1.748217, acc: 0.109375] 33736: [discriminator loss: 0.568753, acc: 0.718750] [adversarial loss: 1.090799, acc: 0.500000] 33737: [discriminator loss: 0.576819, acc: 0.710938] [adversarial loss: 1.636338, acc: 0.140625] 33738: [discriminator loss: 0.543874, acc: 0.664062] [adversarial loss: 1.121594, acc: 0.328125] 33739: [discriminator loss: 0.533741, acc: 0.718750] [adversarial loss: 1.297882, acc: 0.234375] 33740: [discriminator loss: 0.478936, acc: 0.789062] [adversarial loss: 1.134297, acc: 0.375000] 33741: [discriminator loss: 0.528283, acc: 0.726562] [adversarial loss: 1.683719, acc: 0.093750] 33742: [discriminator loss: 0.526391, acc: 0.742188] [adversarial loss: 0.920793, acc: 0.406250] 33743: [discriminator loss: 0.475410, acc: 0.804688] [adversarial loss: 1.414303, acc: 0.203125] 33744: [discriminator loss: 0.509750, acc: 0.757812] [adversarial loss: 1.065135, acc: 0.328125] 33745: [discriminator loss: 0.544942, acc: 0.710938] [adversarial loss: 1.582923, acc: 0.093750] 33746: [discriminator loss: 0.525103, acc: 0.710938] [adversarial loss: 1.137506, acc: 0.359375] 33747: [discriminator loss: 0.535981, acc: 0.695312] [adversarial loss: 1.365107, acc: 0.234375] 33748: [discriminator loss: 0.485013, acc: 0.757812] [adversarial loss: 0.911130, acc: 0.453125] 33749: [discriminator loss: 0.464511, acc: 0.796875] [adversarial loss: 1.525443, acc: 0.140625] 33750: [discriminator loss: 0.499938, acc: 0.765625] [adversarial loss: 1.032790, acc: 0.406250] 33751: [discriminator loss: 0.605955, acc: 0.710938] [adversarial loss: 1.719415, acc: 0.093750] 33752: [discriminator loss: 0.510188, acc: 0.710938] [adversarial loss: 1.237617, acc: 0.218750] 33753: [discriminator loss: 0.465772, acc: 0.789062] [adversarial loss: 1.344339, acc: 0.203125] 33754: [discriminator loss: 0.486283, acc: 0.710938] [adversarial loss: 1.241318, acc: 0.218750] 33755: [discriminator loss: 0.450696, acc: 0.835938] [adversarial loss: 1.192980, acc: 0.343750] 33756: [discriminator loss: 0.566092, acc: 0.703125] [adversarial loss: 1.254982, acc: 0.218750] 33757: [discriminator loss: 0.503211, acc: 0.742188] [adversarial loss: 1.323453, acc: 0.250000] 33758: [discriminator loss: 0.523706, acc: 0.734375] [adversarial loss: 1.092711, acc: 0.328125] 33759: [discriminator loss: 0.571315, acc: 0.710938] [adversarial loss: 1.801156, acc: 0.109375] 33760: [discriminator loss: 0.564837, acc: 0.703125] [adversarial loss: 0.992926, acc: 0.375000] 33761: [discriminator loss: 0.585501, acc: 0.664062] [adversarial loss: 1.607438, acc: 0.140625] 33762: [discriminator loss: 0.469337, acc: 0.812500] [adversarial loss: 1.058742, acc: 0.421875] 33763: [discriminator loss: 0.475994, acc: 0.765625] [adversarial loss: 1.357550, acc: 0.187500] 33764: [discriminator loss: 0.528193, acc: 0.718750] [adversarial loss: 1.101002, acc: 0.328125] 33765: [discriminator loss: 0.495860, acc: 0.750000] [adversarial loss: 1.326401, acc: 0.250000] 33766: [discriminator loss: 0.553468, acc: 0.695312] [adversarial loss: 1.367432, acc: 0.281250] 33767: [discriminator loss: 0.534729, acc: 0.734375] [adversarial loss: 1.174654, acc: 0.250000] 33768: [discriminator loss: 0.560229, acc: 0.710938] [adversarial loss: 1.014883, acc: 0.390625] 33769: [discriminator loss: 0.522070, acc: 0.703125] [adversarial loss: 1.613072, acc: 0.125000] 33770: [discriminator loss: 0.583409, acc: 0.664062] [adversarial loss: 1.061078, acc: 0.359375] 33771: [discriminator loss: 0.485337, acc: 0.750000] [adversarial loss: 1.245696, acc: 0.296875] 33772: [discriminator loss: 0.512714, acc: 0.765625] [adversarial loss: 1.070110, acc: 0.265625] 33773: [discriminator loss: 0.494048, acc: 0.765625] [adversarial loss: 1.584872, acc: 0.156250] 33774: [discriminator loss: 0.571001, acc: 0.695312] [adversarial loss: 0.958859, acc: 0.390625] 33775: [discriminator loss: 0.506161, acc: 0.781250] [adversarial loss: 1.688088, acc: 0.125000] 33776: [discriminator loss: 0.589601, acc: 0.671875] [adversarial loss: 0.699770, acc: 0.609375] 33777: [discriminator loss: 0.606495, acc: 0.687500] [adversarial loss: 1.609412, acc: 0.109375] 33778: [discriminator loss: 0.511209, acc: 0.726562] [adversarial loss: 1.098070, acc: 0.328125] 33779: [discriminator loss: 0.541615, acc: 0.726562] [adversarial loss: 1.461686, acc: 0.187500] 33780: [discriminator loss: 0.467803, acc: 0.757812] [adversarial loss: 1.274492, acc: 0.265625] 33781: [discriminator loss: 0.451850, acc: 0.789062] [adversarial loss: 1.122180, acc: 0.265625] 33782: [discriminator loss: 0.542627, acc: 0.757812] [adversarial loss: 1.334337, acc: 0.250000] 33783: [discriminator loss: 0.453695, acc: 0.773438] [adversarial loss: 1.026551, acc: 0.375000] 33784: [discriminator loss: 0.485062, acc: 0.828125] [adversarial loss: 1.131925, acc: 0.265625] 33785: [discriminator loss: 0.584862, acc: 0.664062] [adversarial loss: 1.319630, acc: 0.218750] 33786: [discriminator loss: 0.485478, acc: 0.781250] [adversarial loss: 1.247442, acc: 0.218750] 33787: [discriminator loss: 0.489567, acc: 0.812500] [adversarial loss: 1.204111, acc: 0.265625] 33788: [discriminator loss: 0.463202, acc: 0.789062] [adversarial loss: 1.244240, acc: 0.218750] 33789: [discriminator loss: 0.505617, acc: 0.742188] [adversarial loss: 1.765754, acc: 0.078125] 33790: [discriminator loss: 0.534428, acc: 0.703125] [adversarial loss: 0.827853, acc: 0.546875] 33791: [discriminator loss: 0.598681, acc: 0.687500] [adversarial loss: 2.053153, acc: 0.031250] 33792: [discriminator loss: 0.536502, acc: 0.703125] [adversarial loss: 0.941451, acc: 0.421875] 33793: [discriminator loss: 0.571475, acc: 0.679688] [adversarial loss: 1.896415, acc: 0.093750] 33794: [discriminator loss: 0.541390, acc: 0.726562] [adversarial loss: 1.057425, acc: 0.296875] 33795: [discriminator loss: 0.527418, acc: 0.750000] [adversarial loss: 1.317597, acc: 0.187500] 33796: [discriminator loss: 0.549856, acc: 0.750000] [adversarial loss: 1.110445, acc: 0.281250] 33797: [discriminator loss: 0.466401, acc: 0.789062] [adversarial loss: 1.383723, acc: 0.156250] 33798: [discriminator loss: 0.482797, acc: 0.750000] [adversarial loss: 1.022265, acc: 0.375000] 33799: [discriminator loss: 0.595057, acc: 0.679688] [adversarial loss: 1.335860, acc: 0.171875] 33800: [discriminator loss: 0.529208, acc: 0.703125] [adversarial loss: 0.922609, acc: 0.437500] 33801: [discriminator loss: 0.545034, acc: 0.710938] [adversarial loss: 1.444190, acc: 0.187500] 33802: [discriminator loss: 0.500020, acc: 0.726562] [adversarial loss: 1.018767, acc: 0.359375] 33803: [discriminator loss: 0.529227, acc: 0.742188] [adversarial loss: 1.596201, acc: 0.093750] 33804: [discriminator loss: 0.426994, acc: 0.750000] [adversarial loss: 1.304686, acc: 0.203125] 33805: [discriminator loss: 0.493731, acc: 0.750000] [adversarial loss: 1.059241, acc: 0.359375] 33806: [discriminator loss: 0.491328, acc: 0.757812] [adversarial loss: 1.535363, acc: 0.140625] 33807: [discriminator loss: 0.599652, acc: 0.632812] [adversarial loss: 0.758039, acc: 0.562500] 33808: [discriminator loss: 0.571261, acc: 0.687500] [adversarial loss: 1.619318, acc: 0.156250] 33809: [discriminator loss: 0.489527, acc: 0.726562] [adversarial loss: 0.832165, acc: 0.468750] 33810: [discriminator loss: 0.613554, acc: 0.656250] [adversarial loss: 2.082921, acc: 0.125000] 33811: [discriminator loss: 0.516141, acc: 0.742188] [adversarial loss: 0.997792, acc: 0.406250] 33812: [discriminator loss: 0.530169, acc: 0.734375] [adversarial loss: 1.471624, acc: 0.156250] 33813: [discriminator loss: 0.549787, acc: 0.687500] [adversarial loss: 1.209685, acc: 0.250000] 33814: [discriminator loss: 0.516628, acc: 0.718750] [adversarial loss: 1.607129, acc: 0.109375] 33815: [discriminator loss: 0.526390, acc: 0.718750] [adversarial loss: 0.997948, acc: 0.359375] 33816: [discriminator loss: 0.550500, acc: 0.750000] [adversarial loss: 1.598084, acc: 0.156250] 33817: [discriminator loss: 0.497066, acc: 0.757812] [adversarial loss: 1.005163, acc: 0.390625] 33818: [discriminator loss: 0.548880, acc: 0.726562] [adversarial loss: 1.349130, acc: 0.171875] 33819: [discriminator loss: 0.455957, acc: 0.781250] [adversarial loss: 1.238979, acc: 0.296875] 33820: [discriminator loss: 0.553978, acc: 0.695312] [adversarial loss: 1.457348, acc: 0.234375] 33821: [discriminator loss: 0.490632, acc: 0.742188] [adversarial loss: 1.262110, acc: 0.234375] 33822: [discriminator loss: 0.423569, acc: 0.820312] [adversarial loss: 1.120363, acc: 0.281250] 33823: [discriminator loss: 0.521627, acc: 0.757812] [adversarial loss: 1.324949, acc: 0.218750] 33824: [discriminator loss: 0.489410, acc: 0.765625] [adversarial loss: 1.024945, acc: 0.390625] 33825: [discriminator loss: 0.572237, acc: 0.695312] [adversarial loss: 1.790669, acc: 0.109375] 33826: [discriminator loss: 0.605930, acc: 0.671875] [adversarial loss: 0.922948, acc: 0.484375] 33827: [discriminator loss: 0.503510, acc: 0.773438] [adversarial loss: 1.464068, acc: 0.187500] 33828: [discriminator loss: 0.553933, acc: 0.710938] [adversarial loss: 0.904442, acc: 0.500000] 33829: [discriminator loss: 0.579981, acc: 0.687500] [adversarial loss: 1.509769, acc: 0.156250] 33830: [discriminator loss: 0.479582, acc: 0.773438] [adversarial loss: 0.971337, acc: 0.421875] 33831: [discriminator loss: 0.464929, acc: 0.781250] [adversarial loss: 1.201017, acc: 0.296875] 33832: [discriminator loss: 0.571319, acc: 0.718750] [adversarial loss: 1.584450, acc: 0.125000] 33833: [discriminator loss: 0.546995, acc: 0.695312] [adversarial loss: 1.285589, acc: 0.250000] 33834: [discriminator loss: 0.520926, acc: 0.695312] [adversarial loss: 1.087707, acc: 0.250000] 33835: [discriminator loss: 0.507274, acc: 0.789062] [adversarial loss: 1.237558, acc: 0.250000] 33836: [discriminator loss: 0.530666, acc: 0.734375] [adversarial loss: 1.855024, acc: 0.062500] 33837: [discriminator loss: 0.480246, acc: 0.757812] [adversarial loss: 1.292306, acc: 0.265625] 33838: [discriminator loss: 0.468046, acc: 0.773438] [adversarial loss: 1.472705, acc: 0.187500] 33839: [discriminator loss: 0.474979, acc: 0.750000] [adversarial loss: 1.102032, acc: 0.296875] 33840: [discriminator loss: 0.472581, acc: 0.796875] [adversarial loss: 1.828077, acc: 0.031250] 33841: [discriminator loss: 0.461038, acc: 0.742188] [adversarial loss: 1.424242, acc: 0.203125] 33842: [discriminator loss: 0.522607, acc: 0.757812] [adversarial loss: 1.145492, acc: 0.281250] 33843: [discriminator loss: 0.497146, acc: 0.726562] [adversarial loss: 1.193663, acc: 0.359375] 33844: [discriminator loss: 0.440453, acc: 0.781250] [adversarial loss: 1.365809, acc: 0.281250] 33845: [discriminator loss: 0.420490, acc: 0.781250] [adversarial loss: 1.054537, acc: 0.296875] 33846: [discriminator loss: 0.497313, acc: 0.734375] [adversarial loss: 1.255030, acc: 0.250000] 33847: [discriminator loss: 0.516024, acc: 0.773438] [adversarial loss: 1.145044, acc: 0.296875] 33848: [discriminator loss: 0.479425, acc: 0.750000] [adversarial loss: 1.409213, acc: 0.156250] 33849: [discriminator loss: 0.639907, acc: 0.632812] [adversarial loss: 0.816923, acc: 0.468750] 33850: [discriminator loss: 0.612223, acc: 0.679688] [adversarial loss: 1.705189, acc: 0.093750] 33851: [discriminator loss: 0.515797, acc: 0.695312] [adversarial loss: 0.759114, acc: 0.500000] 33852: [discriminator loss: 0.646995, acc: 0.640625] [adversarial loss: 1.753519, acc: 0.046875] 33853: [discriminator loss: 0.611980, acc: 0.687500] [adversarial loss: 0.984319, acc: 0.390625] 33854: [discriminator loss: 0.469680, acc: 0.781250] [adversarial loss: 1.454706, acc: 0.156250] 33855: [discriminator loss: 0.456061, acc: 0.765625] [adversarial loss: 1.639853, acc: 0.093750] 33856: [discriminator loss: 0.477050, acc: 0.750000] [adversarial loss: 1.501833, acc: 0.125000] 33857: [discriminator loss: 0.440145, acc: 0.789062] [adversarial loss: 1.307617, acc: 0.312500] 33858: [discriminator loss: 0.491735, acc: 0.750000] [adversarial loss: 1.492881, acc: 0.187500] 33859: [discriminator loss: 0.510158, acc: 0.773438] [adversarial loss: 1.890608, acc: 0.078125] 33860: [discriminator loss: 0.571214, acc: 0.679688] [adversarial loss: 1.059141, acc: 0.375000] 33861: [discriminator loss: 0.526602, acc: 0.750000] [adversarial loss: 1.532532, acc: 0.171875] 33862: [discriminator loss: 0.497044, acc: 0.742188] [adversarial loss: 1.066536, acc: 0.359375] 33863: [discriminator loss: 0.465851, acc: 0.773438] [adversarial loss: 1.494677, acc: 0.171875] 33864: [discriminator loss: 0.485844, acc: 0.781250] [adversarial loss: 1.100484, acc: 0.281250] 33865: [discriminator loss: 0.445852, acc: 0.812500] [adversarial loss: 2.136853, acc: 0.062500] 33866: [discriminator loss: 0.564636, acc: 0.671875] [adversarial loss: 1.240185, acc: 0.281250] 33867: [discriminator loss: 0.491337, acc: 0.718750] [adversarial loss: 1.379079, acc: 0.171875] 33868: [discriminator loss: 0.488198, acc: 0.757812] [adversarial loss: 0.992723, acc: 0.312500] 33869: [discriminator loss: 0.502929, acc: 0.734375] [adversarial loss: 1.720258, acc: 0.125000] 33870: [discriminator loss: 0.498598, acc: 0.726562] [adversarial loss: 1.005436, acc: 0.437500] 33871: [discriminator loss: 0.546073, acc: 0.695312] [adversarial loss: 1.598327, acc: 0.125000] 33872: [discriminator loss: 0.570416, acc: 0.648438] [adversarial loss: 1.119001, acc: 0.406250] 33873: [discriminator loss: 0.480982, acc: 0.742188] [adversarial loss: 1.710931, acc: 0.078125] 33874: [discriminator loss: 0.531538, acc: 0.734375] [adversarial loss: 1.201428, acc: 0.250000] 33875: [discriminator loss: 0.519363, acc: 0.750000] [adversarial loss: 1.333869, acc: 0.156250] 33876: [discriminator loss: 0.491984, acc: 0.781250] [adversarial loss: 1.638680, acc: 0.109375] 33877: [discriminator loss: 0.573903, acc: 0.695312] [adversarial loss: 0.872861, acc: 0.500000] 33878: [discriminator loss: 0.604853, acc: 0.671875] [adversarial loss: 1.843220, acc: 0.046875] 33879: [discriminator loss: 0.528652, acc: 0.718750] [adversarial loss: 1.126137, acc: 0.281250] 33880: [discriminator loss: 0.472750, acc: 0.781250] [adversarial loss: 1.384482, acc: 0.281250] 33881: [discriminator loss: 0.531845, acc: 0.781250] [adversarial loss: 1.048508, acc: 0.453125] 33882: [discriminator loss: 0.489046, acc: 0.765625] [adversarial loss: 1.342657, acc: 0.281250] 33883: [discriminator loss: 0.501590, acc: 0.742188] [adversarial loss: 1.015232, acc: 0.343750] 33884: [discriminator loss: 0.525774, acc: 0.718750] [adversarial loss: 1.522981, acc: 0.156250] 33885: [discriminator loss: 0.444145, acc: 0.820312] [adversarial loss: 1.133123, acc: 0.359375] 33886: [discriminator loss: 0.494556, acc: 0.742188] [adversarial loss: 1.637133, acc: 0.156250] 33887: [discriminator loss: 0.532123, acc: 0.734375] [adversarial loss: 1.102356, acc: 0.296875] 33888: [discriminator loss: 0.488446, acc: 0.757812] [adversarial loss: 1.272408, acc: 0.281250] 33889: [discriminator loss: 0.523504, acc: 0.726562] [adversarial loss: 0.992773, acc: 0.390625] 33890: [discriminator loss: 0.493637, acc: 0.726562] [adversarial loss: 1.477232, acc: 0.125000] 33891: [discriminator loss: 0.482014, acc: 0.781250] [adversarial loss: 0.938934, acc: 0.562500] 33892: [discriminator loss: 0.507580, acc: 0.765625] [adversarial loss: 1.431886, acc: 0.187500] 33893: [discriminator loss: 0.539092, acc: 0.703125] [adversarial loss: 0.773864, acc: 0.562500] 33894: [discriminator loss: 0.525435, acc: 0.757812] [adversarial loss: 1.629423, acc: 0.218750] 33895: [discriminator loss: 0.555578, acc: 0.703125] [adversarial loss: 1.062418, acc: 0.375000] 33896: [discriminator loss: 0.471352, acc: 0.718750] [adversarial loss: 1.118389, acc: 0.328125] 33897: [discriminator loss: 0.471643, acc: 0.789062] [adversarial loss: 1.121336, acc: 0.328125] 33898: [discriminator loss: 0.467735, acc: 0.773438] [adversarial loss: 1.350979, acc: 0.250000] 33899: [discriminator loss: 0.435777, acc: 0.812500] [adversarial loss: 1.073323, acc: 0.406250] 33900: [discriminator loss: 0.535734, acc: 0.734375] [adversarial loss: 1.204221, acc: 0.296875] 33901: [discriminator loss: 0.459950, acc: 0.757812] [adversarial loss: 1.160528, acc: 0.328125] 33902: [discriminator loss: 0.486580, acc: 0.742188] [adversarial loss: 1.238178, acc: 0.296875] 33903: [discriminator loss: 0.452009, acc: 0.781250] [adversarial loss: 0.967206, acc: 0.406250] 33904: [discriminator loss: 0.420875, acc: 0.812500] [adversarial loss: 0.785579, acc: 0.546875] 33905: [discriminator loss: 0.591319, acc: 0.703125] [adversarial loss: 1.453569, acc: 0.171875] 33906: [discriminator loss: 0.502481, acc: 0.734375] [adversarial loss: 0.696573, acc: 0.578125] 33907: [discriminator loss: 0.489230, acc: 0.757812] [adversarial loss: 1.685588, acc: 0.234375] 33908: [discriminator loss: 0.487235, acc: 0.773438] [adversarial loss: 0.925584, acc: 0.515625] 33909: [discriminator loss: 0.581251, acc: 0.726562] [adversarial loss: 1.632106, acc: 0.109375] 33910: [discriminator loss: 0.508857, acc: 0.726562] [adversarial loss: 0.607002, acc: 0.671875] 33911: [discriminator loss: 0.576598, acc: 0.710938] [adversarial loss: 1.592297, acc: 0.156250] 33912: [discriminator loss: 0.592993, acc: 0.695312] [adversarial loss: 0.819663, acc: 0.578125] 33913: [discriminator loss: 0.564524, acc: 0.734375] [adversarial loss: 1.175566, acc: 0.234375] 33914: [discriminator loss: 0.518557, acc: 0.742188] [adversarial loss: 1.301145, acc: 0.187500] 33915: [discriminator loss: 0.520364, acc: 0.726562] [adversarial loss: 1.257500, acc: 0.218750] 33916: [discriminator loss: 0.576765, acc: 0.703125] [adversarial loss: 1.311878, acc: 0.234375] 33917: [discriminator loss: 0.531980, acc: 0.679688] [adversarial loss: 0.927393, acc: 0.453125] 33918: [discriminator loss: 0.583507, acc: 0.734375] [adversarial loss: 1.399845, acc: 0.156250] 33919: [discriminator loss: 0.506872, acc: 0.734375] [adversarial loss: 1.240821, acc: 0.296875] 33920: [discriminator loss: 0.476355, acc: 0.773438] [adversarial loss: 1.002650, acc: 0.421875] 33921: [discriminator loss: 0.485755, acc: 0.781250] [adversarial loss: 1.348078, acc: 0.156250] 33922: [discriminator loss: 0.507963, acc: 0.734375] [adversarial loss: 1.038318, acc: 0.343750] 33923: [discriminator loss: 0.517789, acc: 0.726562] [adversarial loss: 1.414571, acc: 0.187500] 33924: [discriminator loss: 0.557398, acc: 0.679688] [adversarial loss: 0.994866, acc: 0.437500] 33925: [discriminator loss: 0.454729, acc: 0.804688] [adversarial loss: 1.578328, acc: 0.171875] 33926: [discriminator loss: 0.560713, acc: 0.726562] [adversarial loss: 1.033553, acc: 0.390625] 33927: [discriminator loss: 0.531576, acc: 0.710938] [adversarial loss: 1.443884, acc: 0.171875] 33928: [discriminator loss: 0.474014, acc: 0.773438] [adversarial loss: 1.378342, acc: 0.140625] 33929: [discriminator loss: 0.501174, acc: 0.765625] [adversarial loss: 1.200509, acc: 0.218750] 33930: [discriminator loss: 0.496938, acc: 0.742188] [adversarial loss: 1.387824, acc: 0.250000] 33931: [discriminator loss: 0.529956, acc: 0.726562] [adversarial loss: 0.933644, acc: 0.421875] 33932: [discriminator loss: 0.531805, acc: 0.726562] [adversarial loss: 1.751208, acc: 0.140625] 33933: [discriminator loss: 0.532037, acc: 0.687500] [adversarial loss: 1.145330, acc: 0.406250] 33934: [discriminator loss: 0.531077, acc: 0.765625] [adversarial loss: 1.469858, acc: 0.234375] 33935: [discriminator loss: 0.585893, acc: 0.679688] [adversarial loss: 0.831251, acc: 0.484375] 33936: [discriminator loss: 0.620061, acc: 0.679688] [adversarial loss: 1.765603, acc: 0.109375] 33937: [discriminator loss: 0.525850, acc: 0.726562] [adversarial loss: 0.944884, acc: 0.390625] 33938: [discriminator loss: 0.538089, acc: 0.742188] [adversarial loss: 1.311542, acc: 0.156250] 33939: [discriminator loss: 0.595209, acc: 0.679688] [adversarial loss: 1.178957, acc: 0.265625] 33940: [discriminator loss: 0.549690, acc: 0.726562] [adversarial loss: 1.358135, acc: 0.203125] 33941: [discriminator loss: 0.499893, acc: 0.773438] [adversarial loss: 1.365828, acc: 0.171875] 33942: [discriminator loss: 0.469790, acc: 0.812500] [adversarial loss: 1.407629, acc: 0.187500] 33943: [discriminator loss: 0.563483, acc: 0.687500] [adversarial loss: 1.234642, acc: 0.187500] 33944: [discriminator loss: 0.492328, acc: 0.734375] [adversarial loss: 1.120569, acc: 0.312500] 33945: [discriminator loss: 0.502310, acc: 0.750000] [adversarial loss: 1.384458, acc: 0.250000] 33946: [discriminator loss: 0.553285, acc: 0.710938] [adversarial loss: 1.044202, acc: 0.421875] 33947: [discriminator loss: 0.482803, acc: 0.710938] [adversarial loss: 1.411939, acc: 0.187500] 33948: [discriminator loss: 0.536131, acc: 0.750000] [adversarial loss: 1.119413, acc: 0.281250] 33949: [discriminator loss: 0.583151, acc: 0.718750] [adversarial loss: 1.664602, acc: 0.156250] 33950: [discriminator loss: 0.569452, acc: 0.679688] [adversarial loss: 0.906713, acc: 0.484375] 33951: [discriminator loss: 0.470878, acc: 0.781250] [adversarial loss: 1.366114, acc: 0.171875] 33952: [discriminator loss: 0.497037, acc: 0.750000] [adversarial loss: 0.992020, acc: 0.437500] 33953: [discriminator loss: 0.577413, acc: 0.695312] [adversarial loss: 1.630857, acc: 0.125000] 33954: [discriminator loss: 0.538746, acc: 0.718750] [adversarial loss: 0.803177, acc: 0.515625] 33955: [discriminator loss: 0.607648, acc: 0.710938] [adversarial loss: 1.707061, acc: 0.140625] 33956: [discriminator loss: 0.661793, acc: 0.632812] [adversarial loss: 0.888154, acc: 0.437500] 33957: [discriminator loss: 0.454270, acc: 0.812500] [adversarial loss: 1.501226, acc: 0.156250] 33958: [discriminator loss: 0.498250, acc: 0.750000] [adversarial loss: 1.099514, acc: 0.187500] 33959: [discriminator loss: 0.481955, acc: 0.781250] [adversarial loss: 1.347271, acc: 0.218750] 33960: [discriminator loss: 0.474583, acc: 0.726562] [adversarial loss: 1.188311, acc: 0.187500] 33961: [discriminator loss: 0.448475, acc: 0.812500] [adversarial loss: 1.316830, acc: 0.187500] 33962: [discriminator loss: 0.450247, acc: 0.789062] [adversarial loss: 1.095625, acc: 0.250000] 33963: [discriminator loss: 0.485201, acc: 0.750000] [adversarial loss: 1.626045, acc: 0.171875] 33964: [discriminator loss: 0.523063, acc: 0.710938] [adversarial loss: 0.911989, acc: 0.406250] 33965: [discriminator loss: 0.450341, acc: 0.796875] [adversarial loss: 1.417941, acc: 0.203125] 33966: [discriminator loss: 0.506965, acc: 0.726562] [adversarial loss: 0.851604, acc: 0.468750] 33967: [discriminator loss: 0.474882, acc: 0.734375] [adversarial loss: 1.171025, acc: 0.250000] 33968: [discriminator loss: 0.450771, acc: 0.789062] [adversarial loss: 1.199638, acc: 0.234375] 33969: [discriminator loss: 0.519556, acc: 0.726562] [adversarial loss: 1.594303, acc: 0.187500] 33970: [discriminator loss: 0.445402, acc: 0.796875] [adversarial loss: 0.792264, acc: 0.578125] 33971: [discriminator loss: 0.475964, acc: 0.718750] [adversarial loss: 1.278305, acc: 0.218750] 33972: [discriminator loss: 0.609578, acc: 0.671875] [adversarial loss: 0.991155, acc: 0.421875] 33973: [discriminator loss: 0.491479, acc: 0.781250] [adversarial loss: 1.576043, acc: 0.203125] 33974: [discriminator loss: 0.540355, acc: 0.718750] [adversarial loss: 0.801826, acc: 0.437500] 33975: [discriminator loss: 0.589280, acc: 0.679688] [adversarial loss: 1.828884, acc: 0.062500] 33976: [discriminator loss: 0.536444, acc: 0.726562] [adversarial loss: 0.815185, acc: 0.531250] 33977: [discriminator loss: 0.493117, acc: 0.742188] [adversarial loss: 1.683086, acc: 0.156250] 33978: [discriminator loss: 0.520379, acc: 0.718750] [adversarial loss: 1.108015, acc: 0.281250] 33979: [discriminator loss: 0.501798, acc: 0.765625] [adversarial loss: 1.471505, acc: 0.140625] 33980: [discriminator loss: 0.458365, acc: 0.781250] [adversarial loss: 1.577753, acc: 0.203125] 33981: [discriminator loss: 0.467082, acc: 0.750000] [adversarial loss: 1.539943, acc: 0.203125] 33982: [discriminator loss: 0.525983, acc: 0.734375] [adversarial loss: 1.421369, acc: 0.187500] 33983: [discriminator loss: 0.499525, acc: 0.757812] [adversarial loss: 1.475988, acc: 0.109375] 33984: [discriminator loss: 0.588101, acc: 0.664062] [adversarial loss: 0.829315, acc: 0.406250] 33985: [discriminator loss: 0.549392, acc: 0.734375] [adversarial loss: 1.889587, acc: 0.093750] 33986: [discriminator loss: 0.572084, acc: 0.703125] [adversarial loss: 0.896893, acc: 0.359375] 33987: [discriminator loss: 0.601203, acc: 0.671875] [adversarial loss: 1.788097, acc: 0.109375] 33988: [discriminator loss: 0.530332, acc: 0.687500] [adversarial loss: 0.998851, acc: 0.453125] 33989: [discriminator loss: 0.431452, acc: 0.835938] [adversarial loss: 1.630720, acc: 0.093750] 33990: [discriminator loss: 0.467460, acc: 0.742188] [adversarial loss: 1.390173, acc: 0.187500] 33991: [discriminator loss: 0.460300, acc: 0.781250] [adversarial loss: 1.316307, acc: 0.265625] 33992: [discriminator loss: 0.559749, acc: 0.679688] [adversarial loss: 1.283432, acc: 0.296875] 33993: [discriminator loss: 0.565977, acc: 0.734375] [adversarial loss: 1.822973, acc: 0.125000] 33994: [discriminator loss: 0.496628, acc: 0.781250] [adversarial loss: 1.031285, acc: 0.406250] 33995: [discriminator loss: 0.618016, acc: 0.671875] [adversarial loss: 1.474206, acc: 0.187500] 33996: [discriminator loss: 0.490889, acc: 0.742188] [adversarial loss: 1.190919, acc: 0.296875] 33997: [discriminator loss: 0.495330, acc: 0.742188] [adversarial loss: 1.701885, acc: 0.171875] 33998: [discriminator loss: 0.437769, acc: 0.796875] [adversarial loss: 1.354461, acc: 0.218750] 33999: [discriminator loss: 0.481356, acc: 0.734375] [adversarial loss: 0.879906, acc: 0.484375] 34000: [discriminator loss: 0.471219, acc: 0.757812] [adversarial loss: 1.435109, acc: 0.171875] 34001: [discriminator loss: 0.537544, acc: 0.718750] [adversarial loss: 1.016052, acc: 0.468750] 34002: [discriminator loss: 0.514363, acc: 0.757812] [adversarial loss: 1.728207, acc: 0.156250] 34003: [discriminator loss: 0.536977, acc: 0.750000] [adversarial loss: 0.747695, acc: 0.546875] 34004: [discriminator loss: 0.662971, acc: 0.679688] [adversarial loss: 1.686371, acc: 0.062500] 34005: [discriminator loss: 0.478307, acc: 0.765625] [adversarial loss: 0.986865, acc: 0.437500] 34006: [discriminator loss: 0.530966, acc: 0.734375] [adversarial loss: 1.256125, acc: 0.296875] 34007: [discriminator loss: 0.579637, acc: 0.679688] [adversarial loss: 1.069298, acc: 0.328125] 34008: [discriminator loss: 0.512055, acc: 0.703125] [adversarial loss: 1.379831, acc: 0.218750] 34009: [discriminator loss: 0.470531, acc: 0.765625] [adversarial loss: 1.260105, acc: 0.250000] 34010: [discriminator loss: 0.470549, acc: 0.796875] [adversarial loss: 1.485468, acc: 0.156250] 34011: [discriminator loss: 0.480017, acc: 0.742188] [adversarial loss: 1.353116, acc: 0.234375] 34012: [discriminator loss: 0.531693, acc: 0.742188] [adversarial loss: 1.555740, acc: 0.062500] 34013: [discriminator loss: 0.488219, acc: 0.734375] [adversarial loss: 1.167795, acc: 0.250000] 34014: [discriminator loss: 0.500206, acc: 0.765625] [adversarial loss: 1.408625, acc: 0.218750] 34015: [discriminator loss: 0.485010, acc: 0.789062] [adversarial loss: 1.105660, acc: 0.250000] 34016: [discriminator loss: 0.588462, acc: 0.648438] [adversarial loss: 1.464780, acc: 0.234375] 34017: [discriminator loss: 0.519294, acc: 0.726562] [adversarial loss: 0.983949, acc: 0.406250] 34018: [discriminator loss: 0.530528, acc: 0.687500] [adversarial loss: 1.623521, acc: 0.093750] 34019: [discriminator loss: 0.525653, acc: 0.734375] [adversarial loss: 0.903705, acc: 0.437500] 34020: [discriminator loss: 0.533491, acc: 0.695312] [adversarial loss: 1.579093, acc: 0.156250] 34021: [discriminator loss: 0.467994, acc: 0.757812] [adversarial loss: 0.905738, acc: 0.484375] 34022: [discriminator loss: 0.563308, acc: 0.757812] [adversarial loss: 1.352714, acc: 0.265625] 34023: [discriminator loss: 0.566226, acc: 0.679688] [adversarial loss: 1.177551, acc: 0.296875] 34024: [discriminator loss: 0.584092, acc: 0.671875] [adversarial loss: 1.186582, acc: 0.265625] 34025: [discriminator loss: 0.433715, acc: 0.796875] [adversarial loss: 1.350512, acc: 0.203125] 34026: [discriminator loss: 0.545031, acc: 0.718750] [adversarial loss: 1.403733, acc: 0.281250] 34027: [discriminator loss: 0.508548, acc: 0.742188] [adversarial loss: 0.914405, acc: 0.421875] 34028: [discriminator loss: 0.556190, acc: 0.695312] [adversarial loss: 1.887812, acc: 0.062500] 34029: [discriminator loss: 0.522757, acc: 0.742188] [adversarial loss: 0.992547, acc: 0.421875] 34030: [discriminator loss: 0.571603, acc: 0.718750] [adversarial loss: 1.441053, acc: 0.171875] 34031: [discriminator loss: 0.552925, acc: 0.703125] [adversarial loss: 1.128433, acc: 0.312500] 34032: [discriminator loss: 0.519344, acc: 0.750000] [adversarial loss: 1.298618, acc: 0.265625] 34033: [discriminator loss: 0.473346, acc: 0.734375] [adversarial loss: 1.152037, acc: 0.281250] 34034: [discriminator loss: 0.527197, acc: 0.765625] [adversarial loss: 1.437558, acc: 0.171875] 34035: [discriminator loss: 0.464819, acc: 0.796875] [adversarial loss: 0.940414, acc: 0.359375] 34036: [discriminator loss: 0.523646, acc: 0.742188] [adversarial loss: 1.430763, acc: 0.218750] 34037: [discriminator loss: 0.529536, acc: 0.726562] [adversarial loss: 1.505878, acc: 0.203125] 34038: [discriminator loss: 0.485368, acc: 0.789062] [adversarial loss: 1.064859, acc: 0.343750] 34039: [discriminator loss: 0.512930, acc: 0.726562] [adversarial loss: 1.725491, acc: 0.140625] 34040: [discriminator loss: 0.498837, acc: 0.750000] [adversarial loss: 1.173668, acc: 0.296875] 34041: [discriminator loss: 0.451559, acc: 0.789062] [adversarial loss: 1.839498, acc: 0.109375] 34042: [discriminator loss: 0.562608, acc: 0.710938] [adversarial loss: 0.936476, acc: 0.437500] 34043: [discriminator loss: 0.572850, acc: 0.679688] [adversarial loss: 1.639017, acc: 0.062500] 34044: [discriminator loss: 0.538072, acc: 0.695312] [adversarial loss: 0.987631, acc: 0.406250] 34045: [discriminator loss: 0.521287, acc: 0.726562] [adversarial loss: 1.418777, acc: 0.156250] 34046: [discriminator loss: 0.410951, acc: 0.804688] [adversarial loss: 1.237866, acc: 0.234375] 34047: [discriminator loss: 0.450963, acc: 0.765625] [adversarial loss: 1.247751, acc: 0.265625] 34048: [discriminator loss: 0.495017, acc: 0.789062] [adversarial loss: 1.172242, acc: 0.296875] 34049: [discriminator loss: 0.493816, acc: 0.757812] [adversarial loss: 1.342718, acc: 0.296875] 34050: [discriminator loss: 0.511703, acc: 0.757812] [adversarial loss: 1.169849, acc: 0.265625] 34051: [discriminator loss: 0.524829, acc: 0.710938] [adversarial loss: 0.946884, acc: 0.437500] 34052: [discriminator loss: 0.440168, acc: 0.796875] [adversarial loss: 1.452936, acc: 0.218750] 34053: [discriminator loss: 0.465719, acc: 0.757812] [adversarial loss: 1.091756, acc: 0.375000] 34054: [discriminator loss: 0.495148, acc: 0.734375] [adversarial loss: 1.773418, acc: 0.171875] 34055: [discriminator loss: 0.523678, acc: 0.757812] [adversarial loss: 1.007795, acc: 0.343750] 34056: [discriminator loss: 0.565148, acc: 0.718750] [adversarial loss: 1.604062, acc: 0.093750] 34057: [discriminator loss: 0.474289, acc: 0.757812] [adversarial loss: 1.085052, acc: 0.343750] 34058: [discriminator loss: 0.483785, acc: 0.773438] [adversarial loss: 1.561560, acc: 0.125000] 34059: [discriminator loss: 0.547271, acc: 0.742188] [adversarial loss: 0.964871, acc: 0.421875] 34060: [discriminator loss: 0.511372, acc: 0.726562] [adversarial loss: 1.993327, acc: 0.093750] 34061: [discriminator loss: 0.539321, acc: 0.750000] [adversarial loss: 0.927382, acc: 0.484375] 34062: [discriminator loss: 0.571800, acc: 0.695312] [adversarial loss: 1.684681, acc: 0.125000] 34063: [discriminator loss: 0.552013, acc: 0.703125] [adversarial loss: 0.962250, acc: 0.453125] 34064: [discriminator loss: 0.537866, acc: 0.734375] [adversarial loss: 1.333936, acc: 0.171875] 34065: [discriminator loss: 0.447972, acc: 0.796875] [adversarial loss: 1.198115, acc: 0.281250] 34066: [discriminator loss: 0.490949, acc: 0.789062] [adversarial loss: 1.271325, acc: 0.375000] 34067: [discriminator loss: 0.498268, acc: 0.734375] [adversarial loss: 1.376333, acc: 0.234375] 34068: [discriminator loss: 0.521571, acc: 0.718750] [adversarial loss: 0.757984, acc: 0.609375] 34069: [discriminator loss: 0.629318, acc: 0.703125] [adversarial loss: 1.735550, acc: 0.171875] 34070: [discriminator loss: 0.554128, acc: 0.679688] [adversarial loss: 1.013036, acc: 0.468750] 34071: [discriminator loss: 0.488515, acc: 0.765625] [adversarial loss: 1.542381, acc: 0.171875] 34072: [discriminator loss: 0.513555, acc: 0.742188] [adversarial loss: 0.879777, acc: 0.468750] 34073: [discriminator loss: 0.488206, acc: 0.789062] [adversarial loss: 1.560537, acc: 0.171875] 34074: [discriminator loss: 0.549802, acc: 0.695312] [adversarial loss: 1.189629, acc: 0.281250] 34075: [discriminator loss: 0.561690, acc: 0.664062] [adversarial loss: 1.515079, acc: 0.140625] 34076: [discriminator loss: 0.524278, acc: 0.695312] [adversarial loss: 1.380597, acc: 0.250000] 34077: [discriminator loss: 0.504193, acc: 0.734375] [adversarial loss: 1.233755, acc: 0.187500] 34078: [discriminator loss: 0.578933, acc: 0.703125] [adversarial loss: 1.162893, acc: 0.250000] 34079: [discriminator loss: 0.566194, acc: 0.695312] [adversarial loss: 1.412241, acc: 0.171875] 34080: [discriminator loss: 0.567766, acc: 0.734375] [adversarial loss: 0.842737, acc: 0.500000] 34081: [discriminator loss: 0.475345, acc: 0.789062] [adversarial loss: 1.430613, acc: 0.140625] 34082: [discriminator loss: 0.506703, acc: 0.773438] [adversarial loss: 1.081188, acc: 0.312500] 34083: [discriminator loss: 0.537516, acc: 0.679688] [adversarial loss: 1.298645, acc: 0.234375] 34084: [discriminator loss: 0.480815, acc: 0.750000] [adversarial loss: 1.143064, acc: 0.328125] 34085: [discriminator loss: 0.537520, acc: 0.695312] [adversarial loss: 1.619841, acc: 0.171875] 34086: [discriminator loss: 0.501482, acc: 0.742188] [adversarial loss: 1.061020, acc: 0.421875] 34087: [discriminator loss: 0.564176, acc: 0.695312] [adversarial loss: 1.643922, acc: 0.125000] 34088: [discriminator loss: 0.525966, acc: 0.703125] [adversarial loss: 0.780717, acc: 0.484375] 34089: [discriminator loss: 0.547916, acc: 0.710938] [adversarial loss: 1.554634, acc: 0.125000] 34090: [discriminator loss: 0.560746, acc: 0.695312] [adversarial loss: 1.097160, acc: 0.328125] 34091: [discriminator loss: 0.453830, acc: 0.796875] [adversarial loss: 1.891973, acc: 0.093750] 34092: [discriminator loss: 0.614842, acc: 0.679688] [adversarial loss: 1.194349, acc: 0.296875] 34093: [discriminator loss: 0.468353, acc: 0.773438] [adversarial loss: 1.244442, acc: 0.187500] 34094: [discriminator loss: 0.462672, acc: 0.757812] [adversarial loss: 1.735971, acc: 0.109375] 34095: [discriminator loss: 0.598133, acc: 0.640625] [adversarial loss: 0.870682, acc: 0.500000] 34096: [discriminator loss: 0.529576, acc: 0.726562] [adversarial loss: 2.080560, acc: 0.046875] 34097: [discriminator loss: 0.562461, acc: 0.671875] [adversarial loss: 0.769732, acc: 0.531250] 34098: [discriminator loss: 0.513060, acc: 0.750000] [adversarial loss: 1.392774, acc: 0.187500] 34099: [discriminator loss: 0.432651, acc: 0.734375] [adversarial loss: 0.816305, acc: 0.484375] 34100: [discriminator loss: 0.545243, acc: 0.679688] [adversarial loss: 1.879544, acc: 0.093750] 34101: [discriminator loss: 0.604277, acc: 0.679688] [adversarial loss: 1.162504, acc: 0.250000] 34102: [discriminator loss: 0.530168, acc: 0.734375] [adversarial loss: 1.188828, acc: 0.296875] 34103: [discriminator loss: 0.464980, acc: 0.789062] [adversarial loss: 1.143846, acc: 0.281250] 34104: [discriminator loss: 0.515371, acc: 0.757812] [adversarial loss: 1.331779, acc: 0.250000] 34105: [discriminator loss: 0.539487, acc: 0.718750] [adversarial loss: 1.028325, acc: 0.375000] 34106: [discriminator loss: 0.507246, acc: 0.734375] [adversarial loss: 1.403377, acc: 0.140625] 34107: [discriminator loss: 0.484188, acc: 0.718750] [adversarial loss: 1.281403, acc: 0.296875] 34108: [discriminator loss: 0.509313, acc: 0.757812] [adversarial loss: 1.117987, acc: 0.328125] 34109: [discriminator loss: 0.536537, acc: 0.687500] [adversarial loss: 1.591218, acc: 0.156250] 34110: [discriminator loss: 0.522413, acc: 0.718750] [adversarial loss: 0.931874, acc: 0.421875] 34111: [discriminator loss: 0.576025, acc: 0.742188] [adversarial loss: 1.649031, acc: 0.109375] 34112: [discriminator loss: 0.557045, acc: 0.718750] [adversarial loss: 0.861810, acc: 0.484375] 34113: [discriminator loss: 0.518167, acc: 0.757812] [adversarial loss: 1.671506, acc: 0.156250] 34114: [discriminator loss: 0.502026, acc: 0.757812] [adversarial loss: 0.957799, acc: 0.484375] 34115: [discriminator loss: 0.530024, acc: 0.750000] [adversarial loss: 1.719453, acc: 0.218750] 34116: [discriminator loss: 0.527475, acc: 0.726562] [adversarial loss: 1.211199, acc: 0.265625] 34117: [discriminator loss: 0.460257, acc: 0.773438] [adversarial loss: 1.276692, acc: 0.281250] 34118: [discriminator loss: 0.453847, acc: 0.804688] [adversarial loss: 1.202947, acc: 0.359375] 34119: [discriminator loss: 0.546837, acc: 0.703125] [adversarial loss: 1.362743, acc: 0.281250] 34120: [discriminator loss: 0.488260, acc: 0.773438] [adversarial loss: 1.405216, acc: 0.140625] 34121: [discriminator loss: 0.559194, acc: 0.703125] [adversarial loss: 1.388962, acc: 0.281250] 34122: [discriminator loss: 0.550207, acc: 0.679688] [adversarial loss: 1.652999, acc: 0.109375] 34123: [discriminator loss: 0.479113, acc: 0.804688] [adversarial loss: 1.074843, acc: 0.375000] 34124: [discriminator loss: 0.552372, acc: 0.750000] [adversarial loss: 1.908241, acc: 0.046875] 34125: [discriminator loss: 0.567433, acc: 0.695312] [adversarial loss: 0.974600, acc: 0.375000] 34126: [discriminator loss: 0.533145, acc: 0.718750] [adversarial loss: 1.797961, acc: 0.046875] 34127: [discriminator loss: 0.478504, acc: 0.773438] [adversarial loss: 1.050899, acc: 0.359375] 34128: [discriminator loss: 0.519130, acc: 0.757812] [adversarial loss: 1.513483, acc: 0.156250] 34129: [discriminator loss: 0.520002, acc: 0.757812] [adversarial loss: 1.454785, acc: 0.140625] 34130: [discriminator loss: 0.564691, acc: 0.718750] [adversarial loss: 0.861408, acc: 0.468750] 34131: [discriminator loss: 0.527936, acc: 0.710938] [adversarial loss: 1.863505, acc: 0.140625] 34132: [discriminator loss: 0.570713, acc: 0.679688] [adversarial loss: 0.936621, acc: 0.468750] 34133: [discriminator loss: 0.509499, acc: 0.789062] [adversarial loss: 1.715303, acc: 0.062500] 34134: [discriminator loss: 0.575998, acc: 0.671875] [adversarial loss: 0.987228, acc: 0.437500] 34135: [discriminator loss: 0.562207, acc: 0.710938] [adversarial loss: 1.298021, acc: 0.234375] 34136: [discriminator loss: 0.606360, acc: 0.640625] [adversarial loss: 0.956784, acc: 0.406250] 34137: [discriminator loss: 0.571457, acc: 0.710938] [adversarial loss: 1.375340, acc: 0.203125] 34138: [discriminator loss: 0.446508, acc: 0.773438] [adversarial loss: 1.174603, acc: 0.281250] 34139: [discriminator loss: 0.533031, acc: 0.742188] [adversarial loss: 1.446928, acc: 0.171875] 34140: [discriminator loss: 0.539871, acc: 0.726562] [adversarial loss: 1.159942, acc: 0.281250] 34141: [discriminator loss: 0.519429, acc: 0.765625] [adversarial loss: 1.551391, acc: 0.109375] 34142: [discriminator loss: 0.536474, acc: 0.718750] [adversarial loss: 1.110424, acc: 0.343750] 34143: [discriminator loss: 0.550620, acc: 0.718750] [adversarial loss: 1.109160, acc: 0.328125] 34144: [discriminator loss: 0.483852, acc: 0.773438] [adversarial loss: 1.413913, acc: 0.187500] 34145: [discriminator loss: 0.466227, acc: 0.765625] [adversarial loss: 1.320928, acc: 0.234375] 34146: [discriminator loss: 0.483645, acc: 0.718750] [adversarial loss: 1.485203, acc: 0.093750] 34147: [discriminator loss: 0.525267, acc: 0.734375] [adversarial loss: 1.321849, acc: 0.203125] 34148: [discriminator loss: 0.507603, acc: 0.734375] [adversarial loss: 1.249166, acc: 0.343750] 34149: [discriminator loss: 0.527502, acc: 0.765625] [adversarial loss: 1.174688, acc: 0.312500] 34150: [discriminator loss: 0.473470, acc: 0.757812] [adversarial loss: 1.246332, acc: 0.312500] 34151: [discriminator loss: 0.478193, acc: 0.718750] [adversarial loss: 1.331517, acc: 0.218750] 34152: [discriminator loss: 0.517205, acc: 0.734375] [adversarial loss: 1.215935, acc: 0.359375] 34153: [discriminator loss: 0.562822, acc: 0.710938] [adversarial loss: 1.216363, acc: 0.265625] 34154: [discriminator loss: 0.452559, acc: 0.781250] [adversarial loss: 1.254022, acc: 0.375000] 34155: [discriminator loss: 0.505949, acc: 0.726562] [adversarial loss: 1.533358, acc: 0.156250] 34156: [discriminator loss: 0.484509, acc: 0.750000] [adversarial loss: 1.148228, acc: 0.375000] 34157: [discriminator loss: 0.502773, acc: 0.757812] [adversarial loss: 1.662787, acc: 0.109375] 34158: [discriminator loss: 0.507025, acc: 0.703125] [adversarial loss: 1.170228, acc: 0.375000] 34159: [discriminator loss: 0.471456, acc: 0.812500] [adversarial loss: 1.545728, acc: 0.109375] 34160: [discriminator loss: 0.576232, acc: 0.695312] [adversarial loss: 1.150789, acc: 0.328125] 34161: [discriminator loss: 0.538915, acc: 0.726562] [adversarial loss: 2.023084, acc: 0.109375] 34162: [discriminator loss: 0.621409, acc: 0.687500] [adversarial loss: 0.937558, acc: 0.437500] 34163: [discriminator loss: 0.486774, acc: 0.781250] [adversarial loss: 1.558836, acc: 0.109375] 34164: [discriminator loss: 0.550653, acc: 0.695312] [adversarial loss: 1.107978, acc: 0.296875] 34165: [discriminator loss: 0.576863, acc: 0.710938] [adversarial loss: 1.481752, acc: 0.203125] 34166: [discriminator loss: 0.449437, acc: 0.789062] [adversarial loss: 1.129095, acc: 0.312500] 34167: [discriminator loss: 0.579979, acc: 0.648438] [adversarial loss: 1.285944, acc: 0.265625] 34168: [discriminator loss: 0.506280, acc: 0.734375] [adversarial loss: 1.223094, acc: 0.281250] 34169: [discriminator loss: 0.544332, acc: 0.726562] [adversarial loss: 1.092677, acc: 0.390625] 34170: [discriminator loss: 0.481221, acc: 0.773438] [adversarial loss: 1.369661, acc: 0.312500] 34171: [discriminator loss: 0.451879, acc: 0.781250] [adversarial loss: 1.079157, acc: 0.406250] 34172: [discriminator loss: 0.524187, acc: 0.742188] [adversarial loss: 1.313823, acc: 0.250000] 34173: [discriminator loss: 0.550739, acc: 0.734375] [adversarial loss: 1.265659, acc: 0.265625] 34174: [discriminator loss: 0.467579, acc: 0.781250] [adversarial loss: 0.880363, acc: 0.406250] 34175: [discriminator loss: 0.490107, acc: 0.757812] [adversarial loss: 1.481932, acc: 0.125000] 34176: [discriminator loss: 0.512000, acc: 0.710938] [adversarial loss: 0.729338, acc: 0.609375] 34177: [discriminator loss: 0.551009, acc: 0.734375] [adversarial loss: 1.442141, acc: 0.265625] 34178: [discriminator loss: 0.597996, acc: 0.695312] [adversarial loss: 0.949576, acc: 0.375000] 34179: [discriminator loss: 0.470978, acc: 0.765625] [adversarial loss: 1.182711, acc: 0.218750] 34180: [discriminator loss: 0.503703, acc: 0.742188] [adversarial loss: 1.000138, acc: 0.375000] 34181: [discriminator loss: 0.427534, acc: 0.789062] [adversarial loss: 0.991624, acc: 0.343750] 34182: [discriminator loss: 0.503392, acc: 0.750000] [adversarial loss: 0.936156, acc: 0.406250] 34183: [discriminator loss: 0.474162, acc: 0.828125] [adversarial loss: 1.039290, acc: 0.265625] 34184: [discriminator loss: 0.528385, acc: 0.734375] [adversarial loss: 0.907259, acc: 0.515625] 34185: [discriminator loss: 0.398936, acc: 0.867188] [adversarial loss: 0.863951, acc: 0.453125] 34186: [discriminator loss: 0.467444, acc: 0.742188] [adversarial loss: 0.689655, acc: 0.593750] 34187: [discriminator loss: 0.445857, acc: 0.812500] [adversarial loss: 1.268284, acc: 0.312500] 34188: [discriminator loss: 0.551459, acc: 0.695312] [adversarial loss: 0.630190, acc: 0.671875] 34189: [discriminator loss: 0.520542, acc: 0.765625] [adversarial loss: 0.916934, acc: 0.453125] 34190: [discriminator loss: 0.482374, acc: 0.718750] [adversarial loss: 0.594040, acc: 0.687500] 34191: [discriminator loss: 0.441191, acc: 0.789062] [adversarial loss: 0.865367, acc: 0.453125] 34192: [discriminator loss: 0.414746, acc: 0.828125] [adversarial loss: 1.101900, acc: 0.328125] 34193: [discriminator loss: 0.464699, acc: 0.734375] [adversarial loss: 0.874100, acc: 0.421875] 34194: [discriminator loss: 0.458342, acc: 0.750000] [adversarial loss: 0.835771, acc: 0.484375] 34195: [discriminator loss: 0.465932, acc: 0.765625] [adversarial loss: 1.168851, acc: 0.343750] 34196: [discriminator loss: 0.508156, acc: 0.781250] [adversarial loss: 1.483274, acc: 0.171875] 34197: [discriminator loss: 0.512192, acc: 0.750000] [adversarial loss: 1.036909, acc: 0.343750] 34198: [discriminator loss: 0.439254, acc: 0.789062] [adversarial loss: 1.007838, acc: 0.359375] 34199: [discriminator loss: 0.506372, acc: 0.750000] [adversarial loss: 1.468256, acc: 0.203125] 34200: [discriminator loss: 0.484137, acc: 0.789062] [adversarial loss: 1.164275, acc: 0.265625] 34201: [discriminator loss: 0.513296, acc: 0.750000] [adversarial loss: 2.043489, acc: 0.093750] 34202: [discriminator loss: 0.526443, acc: 0.718750] [adversarial loss: 0.790611, acc: 0.546875] 34203: [discriminator loss: 0.559850, acc: 0.718750] [adversarial loss: 2.231589, acc: 0.062500] 34204: [discriminator loss: 0.589302, acc: 0.679688] [adversarial loss: 0.909285, acc: 0.484375] 34205: [discriminator loss: 0.563071, acc: 0.710938] [adversarial loss: 2.002034, acc: 0.109375] 34206: [discriminator loss: 0.542774, acc: 0.726562] [adversarial loss: 1.054842, acc: 0.328125] 34207: [discriminator loss: 0.541601, acc: 0.750000] [adversarial loss: 1.827724, acc: 0.109375] 34208: [discriminator loss: 0.437067, acc: 0.789062] [adversarial loss: 1.505071, acc: 0.187500] 34209: [discriminator loss: 0.500716, acc: 0.773438] [adversarial loss: 1.706594, acc: 0.140625] 34210: [discriminator loss: 0.389444, acc: 0.796875] [adversarial loss: 1.744769, acc: 0.171875] 34211: [discriminator loss: 0.526259, acc: 0.710938] [adversarial loss: 1.657018, acc: 0.140625] 34212: [discriminator loss: 0.532391, acc: 0.734375] [adversarial loss: 1.477088, acc: 0.218750] 34213: [discriminator loss: 0.463590, acc: 0.789062] [adversarial loss: 1.833692, acc: 0.187500] 34214: [discriminator loss: 0.445422, acc: 0.804688] [adversarial loss: 1.281185, acc: 0.296875] 34215: [discriminator loss: 0.484078, acc: 0.742188] [adversarial loss: 1.563872, acc: 0.140625] 34216: [discriminator loss: 0.399492, acc: 0.828125] [adversarial loss: 1.560760, acc: 0.218750] 34217: [discriminator loss: 0.492261, acc: 0.773438] [adversarial loss: 1.233921, acc: 0.281250] 34218: [discriminator loss: 0.557716, acc: 0.679688] [adversarial loss: 1.285412, acc: 0.234375] 34219: [discriminator loss: 0.501103, acc: 0.710938] [adversarial loss: 1.434407, acc: 0.203125] 34220: [discriminator loss: 0.474293, acc: 0.750000] [adversarial loss: 1.639178, acc: 0.171875] 34221: [discriminator loss: 0.551316, acc: 0.695312] [adversarial loss: 1.219629, acc: 0.343750] 34222: [discriminator loss: 0.438711, acc: 0.781250] [adversarial loss: 1.464332, acc: 0.203125] 34223: [discriminator loss: 0.577892, acc: 0.710938] [adversarial loss: 1.286878, acc: 0.296875] 34224: [discriminator loss: 0.475717, acc: 0.789062] [adversarial loss: 1.328315, acc: 0.250000] 34225: [discriminator loss: 0.459778, acc: 0.726562] [adversarial loss: 0.783142, acc: 0.578125] 34226: [discriminator loss: 0.493958, acc: 0.757812] [adversarial loss: 1.426098, acc: 0.218750] 34227: [discriminator loss: 0.552851, acc: 0.703125] [adversarial loss: 0.673580, acc: 0.625000] 34228: [discriminator loss: 0.544525, acc: 0.734375] [adversarial loss: 1.577331, acc: 0.203125] 34229: [discriminator loss: 0.501450, acc: 0.734375] [adversarial loss: 0.868347, acc: 0.453125] 34230: [discriminator loss: 0.618775, acc: 0.703125] [adversarial loss: 1.846930, acc: 0.140625] 34231: [discriminator loss: 0.538595, acc: 0.703125] [adversarial loss: 0.678673, acc: 0.656250] 34232: [discriminator loss: 0.519608, acc: 0.750000] [adversarial loss: 1.298393, acc: 0.203125] 34233: [discriminator loss: 0.500816, acc: 0.773438] [adversarial loss: 0.987873, acc: 0.406250] 34234: [discriminator loss: 0.408498, acc: 0.757812] [adversarial loss: 1.303184, acc: 0.328125] 34235: [discriminator loss: 0.453364, acc: 0.750000] [adversarial loss: 1.145503, acc: 0.296875] 34236: [discriminator loss: 0.427895, acc: 0.835938] [adversarial loss: 1.168550, acc: 0.296875] 34237: [discriminator loss: 0.430626, acc: 0.804688] [adversarial loss: 1.143169, acc: 0.343750] 34238: [discriminator loss: 0.462510, acc: 0.765625] [adversarial loss: 1.053467, acc: 0.343750] 34239: [discriminator loss: 0.444129, acc: 0.781250] [adversarial loss: 1.088969, acc: 0.375000] 34240: [discriminator loss: 0.515026, acc: 0.726562] [adversarial loss: 1.209244, acc: 0.234375] 34241: [discriminator loss: 0.475440, acc: 0.718750] [adversarial loss: 0.799020, acc: 0.484375] 34242: [discriminator loss: 0.564260, acc: 0.671875] [adversarial loss: 1.359098, acc: 0.203125] 34243: [discriminator loss: 0.500271, acc: 0.718750] [adversarial loss: 0.597888, acc: 0.656250] 34244: [discriminator loss: 0.536613, acc: 0.718750] [adversarial loss: 1.694182, acc: 0.156250] 34245: [discriminator loss: 0.525100, acc: 0.757812] [adversarial loss: 0.908019, acc: 0.406250] 34246: [discriminator loss: 0.496162, acc: 0.757812] [adversarial loss: 1.408979, acc: 0.171875] 34247: [discriminator loss: 0.529773, acc: 0.679688] [adversarial loss: 1.046512, acc: 0.312500] 34248: [discriminator loss: 0.512758, acc: 0.757812] [adversarial loss: 1.250107, acc: 0.281250] 34249: [discriminator loss: 0.546714, acc: 0.664062] [adversarial loss: 0.943050, acc: 0.437500] 34250: [discriminator loss: 0.570513, acc: 0.710938] [adversarial loss: 1.303615, acc: 0.250000] 34251: [discriminator loss: 0.537329, acc: 0.718750] [adversarial loss: 1.298522, acc: 0.218750] 34252: [discriminator loss: 0.554429, acc: 0.679688] [adversarial loss: 1.701873, acc: 0.078125] 34253: [discriminator loss: 0.470012, acc: 0.742188] [adversarial loss: 1.245807, acc: 0.359375] 34254: [discriminator loss: 0.510991, acc: 0.742188] [adversarial loss: 1.305131, acc: 0.250000] 34255: [discriminator loss: 0.544318, acc: 0.703125] [adversarial loss: 1.243493, acc: 0.296875] 34256: [discriminator loss: 0.481515, acc: 0.773438] [adversarial loss: 1.301511, acc: 0.171875] 34257: [discriminator loss: 0.488082, acc: 0.726562] [adversarial loss: 0.980520, acc: 0.343750] 34258: [discriminator loss: 0.541452, acc: 0.742188] [adversarial loss: 1.710260, acc: 0.093750] 34259: [discriminator loss: 0.468752, acc: 0.796875] [adversarial loss: 1.027057, acc: 0.359375] 34260: [discriminator loss: 0.487516, acc: 0.742188] [adversarial loss: 1.365364, acc: 0.156250] 34261: [discriminator loss: 0.429926, acc: 0.843750] [adversarial loss: 1.400706, acc: 0.218750] 34262: [discriminator loss: 0.500695, acc: 0.718750] [adversarial loss: 1.268027, acc: 0.312500] 34263: [discriminator loss: 0.538708, acc: 0.726562] [adversarial loss: 1.691869, acc: 0.109375] 34264: [discriminator loss: 0.522203, acc: 0.718750] [adversarial loss: 0.938412, acc: 0.328125] 34265: [discriminator loss: 0.444559, acc: 0.765625] [adversarial loss: 1.846981, acc: 0.078125] 34266: [discriminator loss: 0.516133, acc: 0.742188] [adversarial loss: 1.152422, acc: 0.359375] 34267: [discriminator loss: 0.497075, acc: 0.726562] [adversarial loss: 1.614591, acc: 0.109375] 34268: [discriminator loss: 0.536583, acc: 0.734375] [adversarial loss: 0.775304, acc: 0.562500] 34269: [discriminator loss: 0.535792, acc: 0.750000] [adversarial loss: 1.757690, acc: 0.062500] 34270: [discriminator loss: 0.554947, acc: 0.726562] [adversarial loss: 1.178020, acc: 0.265625] 34271: [discriminator loss: 0.483119, acc: 0.757812] [adversarial loss: 1.301033, acc: 0.296875] 34272: [discriminator loss: 0.511394, acc: 0.734375] [adversarial loss: 1.130359, acc: 0.312500] 34273: [discriminator loss: 0.541179, acc: 0.656250] [adversarial loss: 1.314628, acc: 0.187500] 34274: [discriminator loss: 0.555422, acc: 0.703125] [adversarial loss: 1.403917, acc: 0.156250] 34275: [discriminator loss: 0.560291, acc: 0.664062] [adversarial loss: 1.197589, acc: 0.343750] 34276: [discriminator loss: 0.430430, acc: 0.781250] [adversarial loss: 1.548868, acc: 0.125000] 34277: [discriminator loss: 0.580386, acc: 0.679688] [adversarial loss: 1.382041, acc: 0.140625] 34278: [discriminator loss: 0.525142, acc: 0.757812] [adversarial loss: 1.139757, acc: 0.281250] 34279: [discriminator loss: 0.502871, acc: 0.757812] [adversarial loss: 1.374622, acc: 0.203125] 34280: [discriminator loss: 0.505003, acc: 0.703125] [adversarial loss: 1.448680, acc: 0.171875] 34281: [discriminator loss: 0.529264, acc: 0.687500] [adversarial loss: 1.127827, acc: 0.390625] 34282: [discriminator loss: 0.464984, acc: 0.742188] [adversarial loss: 1.625338, acc: 0.125000] 34283: [discriminator loss: 0.473952, acc: 0.796875] [adversarial loss: 0.847721, acc: 0.468750] 34284: [discriminator loss: 0.557341, acc: 0.703125] [adversarial loss: 1.906333, acc: 0.093750] 34285: [discriminator loss: 0.596550, acc: 0.687500] [adversarial loss: 0.896256, acc: 0.421875] 34286: [discriminator loss: 0.463439, acc: 0.781250] [adversarial loss: 1.380021, acc: 0.187500] 34287: [discriminator loss: 0.549749, acc: 0.679688] [adversarial loss: 0.952646, acc: 0.406250] 34288: [discriminator loss: 0.525900, acc: 0.671875] [adversarial loss: 1.701823, acc: 0.203125] 34289: [discriminator loss: 0.556689, acc: 0.757812] [adversarial loss: 0.994308, acc: 0.343750] 34290: [discriminator loss: 0.558645, acc: 0.703125] [adversarial loss: 1.249394, acc: 0.312500] 34291: [discriminator loss: 0.481412, acc: 0.750000] [adversarial loss: 1.074991, acc: 0.343750] 34292: [discriminator loss: 0.482060, acc: 0.734375] [adversarial loss: 1.517690, acc: 0.156250] 34293: [discriminator loss: 0.491144, acc: 0.750000] [adversarial loss: 0.959052, acc: 0.406250] 34294: [discriminator loss: 0.480772, acc: 0.773438] [adversarial loss: 1.813304, acc: 0.156250] 34295: [discriminator loss: 0.517318, acc: 0.773438] [adversarial loss: 1.067958, acc: 0.375000] 34296: [discriminator loss: 0.590752, acc: 0.671875] [adversarial loss: 1.656106, acc: 0.171875] 34297: [discriminator loss: 0.526099, acc: 0.718750] [adversarial loss: 0.927832, acc: 0.453125] 34298: [discriminator loss: 0.605051, acc: 0.710938] [adversarial loss: 1.894812, acc: 0.062500] 34299: [discriminator loss: 0.561173, acc: 0.656250] [adversarial loss: 0.997155, acc: 0.390625] 34300: [discriminator loss: 0.451589, acc: 0.781250] [adversarial loss: 1.210317, acc: 0.281250] 34301: [discriminator loss: 0.579812, acc: 0.703125] [adversarial loss: 1.072833, acc: 0.234375] 34302: [discriminator loss: 0.517861, acc: 0.789062] [adversarial loss: 1.209941, acc: 0.265625] 34303: [discriminator loss: 0.547716, acc: 0.734375] [adversarial loss: 1.513430, acc: 0.093750] 34304: [discriminator loss: 0.530383, acc: 0.734375] [adversarial loss: 1.101403, acc: 0.390625] 34305: [discriminator loss: 0.517534, acc: 0.789062] [adversarial loss: 1.716357, acc: 0.125000] 34306: [discriminator loss: 0.627723, acc: 0.664062] [adversarial loss: 0.991198, acc: 0.359375] 34307: [discriminator loss: 0.585423, acc: 0.687500] [adversarial loss: 1.494021, acc: 0.187500] 34308: [discriminator loss: 0.610848, acc: 0.648438] [adversarial loss: 1.041678, acc: 0.296875] 34309: [discriminator loss: 0.544820, acc: 0.742188] [adversarial loss: 1.194693, acc: 0.187500] 34310: [discriminator loss: 0.485548, acc: 0.750000] [adversarial loss: 1.519903, acc: 0.218750] 34311: [discriminator loss: 0.517978, acc: 0.710938] [adversarial loss: 1.221733, acc: 0.296875] 34312: [discriminator loss: 0.473824, acc: 0.750000] [adversarial loss: 1.427639, acc: 0.125000] 34313: [discriminator loss: 0.546925, acc: 0.734375] [adversarial loss: 1.144583, acc: 0.328125] 34314: [discriminator loss: 0.524051, acc: 0.750000] [adversarial loss: 1.345976, acc: 0.156250] 34315: [discriminator loss: 0.451152, acc: 0.796875] [adversarial loss: 1.551521, acc: 0.109375] 34316: [discriminator loss: 0.418953, acc: 0.757812] [adversarial loss: 1.122773, acc: 0.265625] 34317: [discriminator loss: 0.486417, acc: 0.742188] [adversarial loss: 1.088424, acc: 0.359375] 34318: [discriminator loss: 0.517153, acc: 0.750000] [adversarial loss: 1.295016, acc: 0.218750] 34319: [discriminator loss: 0.546077, acc: 0.695312] [adversarial loss: 0.859118, acc: 0.484375] 34320: [discriminator loss: 0.496419, acc: 0.734375] [adversarial loss: 1.245409, acc: 0.218750] 34321: [discriminator loss: 0.494303, acc: 0.757812] [adversarial loss: 1.043321, acc: 0.437500] 34322: [discriminator loss: 0.509702, acc: 0.750000] [adversarial loss: 1.931445, acc: 0.062500] 34323: [discriminator loss: 0.552230, acc: 0.718750] [adversarial loss: 1.070758, acc: 0.390625] 34324: [discriminator loss: 0.479966, acc: 0.781250] [adversarial loss: 1.153765, acc: 0.250000] 34325: [discriminator loss: 0.532487, acc: 0.679688] [adversarial loss: 0.908063, acc: 0.468750] 34326: [discriminator loss: 0.504114, acc: 0.742188] [adversarial loss: 1.594796, acc: 0.109375] 34327: [discriminator loss: 0.596941, acc: 0.687500] [adversarial loss: 1.024574, acc: 0.375000] 34328: [discriminator loss: 0.498207, acc: 0.750000] [adversarial loss: 1.255243, acc: 0.203125] 34329: [discriminator loss: 0.508359, acc: 0.718750] [adversarial loss: 1.238091, acc: 0.265625] 34330: [discriminator loss: 0.544697, acc: 0.718750] [adversarial loss: 1.424653, acc: 0.203125] 34331: [discriminator loss: 0.487846, acc: 0.781250] [adversarial loss: 1.503579, acc: 0.171875] 34332: [discriminator loss: 0.444548, acc: 0.804688] [adversarial loss: 1.144891, acc: 0.328125] 34333: [discriminator loss: 0.551586, acc: 0.750000] [adversarial loss: 1.165695, acc: 0.296875] 34334: [discriminator loss: 0.497023, acc: 0.789062] [adversarial loss: 1.252170, acc: 0.265625] 34335: [discriminator loss: 0.436000, acc: 0.828125] [adversarial loss: 1.065176, acc: 0.343750] 34336: [discriminator loss: 0.481418, acc: 0.742188] [adversarial loss: 1.114820, acc: 0.328125] 34337: [discriminator loss: 0.532095, acc: 0.734375] [adversarial loss: 1.132869, acc: 0.312500] 34338: [discriminator loss: 0.456106, acc: 0.796875] [adversarial loss: 1.395999, acc: 0.156250] 34339: [discriminator loss: 0.436664, acc: 0.812500] [adversarial loss: 0.911762, acc: 0.343750] 34340: [discriminator loss: 0.554844, acc: 0.718750] [adversarial loss: 1.374680, acc: 0.187500] 34341: [discriminator loss: 0.525687, acc: 0.679688] [adversarial loss: 0.613113, acc: 0.687500] 34342: [discriminator loss: 0.568300, acc: 0.695312] [adversarial loss: 1.761986, acc: 0.125000] 34343: [discriminator loss: 0.641010, acc: 0.648438] [adversarial loss: 0.804180, acc: 0.515625] 34344: [discriminator loss: 0.600270, acc: 0.664062] [adversarial loss: 1.598109, acc: 0.156250] 34345: [discriminator loss: 0.574152, acc: 0.726562] [adversarial loss: 1.133884, acc: 0.375000] 34346: [discriminator loss: 0.471873, acc: 0.750000] [adversarial loss: 1.681754, acc: 0.140625] 34347: [discriminator loss: 0.473613, acc: 0.750000] [adversarial loss: 1.235747, acc: 0.203125] 34348: [discriminator loss: 0.489462, acc: 0.781250] [adversarial loss: 1.796298, acc: 0.046875] 34349: [discriminator loss: 0.464840, acc: 0.773438] [adversarial loss: 1.147745, acc: 0.265625] 34350: [discriminator loss: 0.561972, acc: 0.664062] [adversarial loss: 1.170356, acc: 0.234375] 34351: [discriminator loss: 0.509077, acc: 0.726562] [adversarial loss: 1.083651, acc: 0.359375] 34352: [discriminator loss: 0.497894, acc: 0.757812] [adversarial loss: 1.612038, acc: 0.171875] 34353: [discriminator loss: 0.553351, acc: 0.695312] [adversarial loss: 1.021202, acc: 0.343750] 34354: [discriminator loss: 0.562225, acc: 0.695312] [adversarial loss: 1.559164, acc: 0.125000] 34355: [discriminator loss: 0.546952, acc: 0.710938] [adversarial loss: 1.056184, acc: 0.406250] 34356: [discriminator loss: 0.516835, acc: 0.734375] [adversarial loss: 1.259602, acc: 0.234375] 34357: [discriminator loss: 0.478845, acc: 0.757812] [adversarial loss: 1.311069, acc: 0.203125] 34358: [discriminator loss: 0.525425, acc: 0.710938] [adversarial loss: 1.372855, acc: 0.171875] 34359: [discriminator loss: 0.618046, acc: 0.664062] [adversarial loss: 1.060217, acc: 0.359375] 34360: [discriminator loss: 0.564821, acc: 0.742188] [adversarial loss: 1.540592, acc: 0.125000] 34361: [discriminator loss: 0.461238, acc: 0.781250] [adversarial loss: 0.957939, acc: 0.343750] 34362: [discriminator loss: 0.534576, acc: 0.726562] [adversarial loss: 1.752178, acc: 0.125000] 34363: [discriminator loss: 0.595286, acc: 0.640625] [adversarial loss: 1.079306, acc: 0.296875] 34364: [discriminator loss: 0.482263, acc: 0.757812] [adversarial loss: 1.677206, acc: 0.234375] 34365: [discriminator loss: 0.530960, acc: 0.718750] [adversarial loss: 1.050771, acc: 0.359375] 34366: [discriminator loss: 0.531105, acc: 0.671875] [adversarial loss: 1.817263, acc: 0.062500] 34367: [discriminator loss: 0.587214, acc: 0.703125] [adversarial loss: 1.026509, acc: 0.421875] 34368: [discriminator loss: 0.526869, acc: 0.695312] [adversarial loss: 1.945629, acc: 0.078125] 34369: [discriminator loss: 0.610317, acc: 0.664062] [adversarial loss: 1.010499, acc: 0.359375] 34370: [discriminator loss: 0.495455, acc: 0.765625] [adversarial loss: 1.186774, acc: 0.187500] 34371: [discriminator loss: 0.481164, acc: 0.765625] [adversarial loss: 1.225763, acc: 0.265625] 34372: [discriminator loss: 0.605416, acc: 0.656250] [adversarial loss: 1.303672, acc: 0.218750] 34373: [discriminator loss: 0.495011, acc: 0.750000] [adversarial loss: 1.457209, acc: 0.250000] 34374: [discriminator loss: 0.517499, acc: 0.742188] [adversarial loss: 0.980645, acc: 0.312500] 34375: [discriminator loss: 0.444080, acc: 0.750000] [adversarial loss: 1.200987, acc: 0.250000] 34376: [discriminator loss: 0.503911, acc: 0.726562] [adversarial loss: 1.322540, acc: 0.296875] 34377: [discriminator loss: 0.418082, acc: 0.804688] [adversarial loss: 1.474005, acc: 0.203125] 34378: [discriminator loss: 0.551345, acc: 0.718750] [adversarial loss: 1.479478, acc: 0.156250] 34379: [discriminator loss: 0.506953, acc: 0.718750] [adversarial loss: 1.069014, acc: 0.359375] 34380: [discriminator loss: 0.529281, acc: 0.750000] [adversarial loss: 1.454727, acc: 0.125000] 34381: [discriminator loss: 0.512838, acc: 0.734375] [adversarial loss: 1.103264, acc: 0.296875] 34382: [discriminator loss: 0.463496, acc: 0.765625] [adversarial loss: 1.368867, acc: 0.171875] 34383: [discriminator loss: 0.485271, acc: 0.773438] [adversarial loss: 1.263981, acc: 0.281250] 34384: [discriminator loss: 0.475782, acc: 0.781250] [adversarial loss: 1.083153, acc: 0.390625] 34385: [discriminator loss: 0.411438, acc: 0.851562] [adversarial loss: 1.355489, acc: 0.234375] 34386: [discriminator loss: 0.552759, acc: 0.710938] [adversarial loss: 1.009453, acc: 0.421875] 34387: [discriminator loss: 0.442742, acc: 0.804688] [adversarial loss: 1.531749, acc: 0.187500] 34388: [discriminator loss: 0.515523, acc: 0.726562] [adversarial loss: 0.712461, acc: 0.578125] 34389: [discriminator loss: 0.452581, acc: 0.789062] [adversarial loss: 1.004227, acc: 0.375000] 34390: [discriminator loss: 0.471562, acc: 0.726562] [adversarial loss: 0.718888, acc: 0.656250] 34391: [discriminator loss: 0.471776, acc: 0.703125] [adversarial loss: 1.552754, acc: 0.234375] 34392: [discriminator loss: 0.506816, acc: 0.742188] [adversarial loss: 0.765137, acc: 0.625000] 34393: [discriminator loss: 0.469140, acc: 0.773438] [adversarial loss: 1.179278, acc: 0.328125] 34394: [discriminator loss: 0.519355, acc: 0.734375] [adversarial loss: 0.613922, acc: 0.703125] 34395: [discriminator loss: 0.524790, acc: 0.750000] [adversarial loss: 1.303021, acc: 0.250000] 34396: [discriminator loss: 0.508864, acc: 0.679688] [adversarial loss: 0.586254, acc: 0.703125] 34397: [discriminator loss: 0.496989, acc: 0.757812] [adversarial loss: 1.180983, acc: 0.265625] 34398: [discriminator loss: 0.504888, acc: 0.710938] [adversarial loss: 0.686033, acc: 0.609375] 34399: [discriminator loss: 0.522117, acc: 0.750000] [adversarial loss: 1.088279, acc: 0.375000] 34400: [discriminator loss: 0.505303, acc: 0.742188] [adversarial loss: 0.595936, acc: 0.640625] 34401: [discriminator loss: 0.427338, acc: 0.804688] [adversarial loss: 1.160829, acc: 0.281250] 34402: [discriminator loss: 0.531313, acc: 0.718750] [adversarial loss: 0.867478, acc: 0.484375] 34403: [discriminator loss: 0.563394, acc: 0.726562] [adversarial loss: 1.148811, acc: 0.296875] 34404: [discriminator loss: 0.590865, acc: 0.632812] [adversarial loss: 0.778251, acc: 0.546875] 34405: [discriminator loss: 0.492575, acc: 0.789062] [adversarial loss: 1.243292, acc: 0.265625] 34406: [discriminator loss: 0.491774, acc: 0.734375] [adversarial loss: 0.785226, acc: 0.531250] 34407: [discriminator loss: 0.467482, acc: 0.789062] [adversarial loss: 1.310481, acc: 0.171875] 34408: [discriminator loss: 0.485138, acc: 0.750000] [adversarial loss: 1.382609, acc: 0.203125] 34409: [discriminator loss: 0.412822, acc: 0.796875] [adversarial loss: 1.566994, acc: 0.093750] 34410: [discriminator loss: 0.432319, acc: 0.773438] [adversarial loss: 1.500484, acc: 0.171875] 34411: [discriminator loss: 0.466192, acc: 0.765625] [adversarial loss: 1.296820, acc: 0.250000] 34412: [discriminator loss: 0.467301, acc: 0.750000] [adversarial loss: 2.178646, acc: 0.062500] 34413: [discriminator loss: 0.453512, acc: 0.789062] [adversarial loss: 2.087188, acc: 0.015625] 34414: [discriminator loss: 0.476551, acc: 0.789062] [adversarial loss: 1.699041, acc: 0.250000] 34415: [discriminator loss: 0.445690, acc: 0.781250] [adversarial loss: 1.683270, acc: 0.109375] 34416: [discriminator loss: 0.451688, acc: 0.742188] [adversarial loss: 1.362096, acc: 0.203125] 34417: [discriminator loss: 0.581647, acc: 0.687500] [adversarial loss: 1.335612, acc: 0.296875] 34418: [discriminator loss: 0.508363, acc: 0.742188] [adversarial loss: 1.197711, acc: 0.390625] 34419: [discriminator loss: 0.507725, acc: 0.757812] [adversarial loss: 1.438099, acc: 0.187500] 34420: [discriminator loss: 0.464702, acc: 0.781250] [adversarial loss: 1.109194, acc: 0.250000] 34421: [discriminator loss: 0.531129, acc: 0.734375] [adversarial loss: 2.040045, acc: 0.109375] 34422: [discriminator loss: 0.638681, acc: 0.640625] [adversarial loss: 1.056855, acc: 0.343750] 34423: [discriminator loss: 0.495061, acc: 0.765625] [adversarial loss: 1.517807, acc: 0.109375] 34424: [discriminator loss: 0.429212, acc: 0.757812] [adversarial loss: 1.424767, acc: 0.140625] 34425: [discriminator loss: 0.482848, acc: 0.773438] [adversarial loss: 1.117808, acc: 0.343750] 34426: [discriminator loss: 0.568703, acc: 0.718750] [adversarial loss: 1.848916, acc: 0.109375] 34427: [discriminator loss: 0.569265, acc: 0.718750] [adversarial loss: 1.031336, acc: 0.375000] 34428: [discriminator loss: 0.469390, acc: 0.812500] [adversarial loss: 1.569978, acc: 0.156250] 34429: [discriminator loss: 0.528253, acc: 0.726562] [adversarial loss: 1.142677, acc: 0.312500] 34430: [discriminator loss: 0.510420, acc: 0.718750] [adversarial loss: 1.429209, acc: 0.171875] 34431: [discriminator loss: 0.546110, acc: 0.726562] [adversarial loss: 1.310531, acc: 0.312500] 34432: [discriminator loss: 0.477274, acc: 0.742188] [adversarial loss: 1.351639, acc: 0.281250] 34433: [discriminator loss: 0.574730, acc: 0.687500] [adversarial loss: 0.690204, acc: 0.593750] 34434: [discriminator loss: 0.503670, acc: 0.757812] [adversarial loss: 1.503851, acc: 0.140625] 34435: [discriminator loss: 0.515343, acc: 0.710938] [adversarial loss: 1.311383, acc: 0.312500] 34436: [discriminator loss: 0.503439, acc: 0.718750] [adversarial loss: 1.167644, acc: 0.234375] 34437: [discriminator loss: 0.509019, acc: 0.773438] [adversarial loss: 1.399182, acc: 0.296875] 34438: [discriminator loss: 0.544602, acc: 0.726562] [adversarial loss: 1.141543, acc: 0.312500] 34439: [discriminator loss: 0.549369, acc: 0.695312] [adversarial loss: 1.290544, acc: 0.281250] 34440: [discriminator loss: 0.559649, acc: 0.671875] [adversarial loss: 1.228957, acc: 0.359375] 34441: [discriminator loss: 0.547625, acc: 0.718750] [adversarial loss: 0.821290, acc: 0.531250] 34442: [discriminator loss: 0.506990, acc: 0.742188] [adversarial loss: 1.533708, acc: 0.171875] 34443: [discriminator loss: 0.503656, acc: 0.750000] [adversarial loss: 0.686303, acc: 0.609375] 34444: [discriminator loss: 0.527331, acc: 0.750000] [adversarial loss: 1.732938, acc: 0.109375] 34445: [discriminator loss: 0.517424, acc: 0.718750] [adversarial loss: 1.186411, acc: 0.265625] 34446: [discriminator loss: 0.479485, acc: 0.757812] [adversarial loss: 1.156484, acc: 0.359375] 34447: [discriminator loss: 0.425882, acc: 0.796875] [adversarial loss: 1.160340, acc: 0.328125] 34448: [discriminator loss: 0.497148, acc: 0.710938] [adversarial loss: 1.483453, acc: 0.187500] 34449: [discriminator loss: 0.427505, acc: 0.796875] [adversarial loss: 0.783708, acc: 0.546875] 34450: [discriminator loss: 0.529208, acc: 0.742188] [adversarial loss: 1.507504, acc: 0.140625] 34451: [discriminator loss: 0.538225, acc: 0.726562] [adversarial loss: 0.721239, acc: 0.546875] 34452: [discriminator loss: 0.580563, acc: 0.664062] [adversarial loss: 1.730869, acc: 0.093750] 34453: [discriminator loss: 0.503415, acc: 0.718750] [adversarial loss: 0.852298, acc: 0.437500] 34454: [discriminator loss: 0.445663, acc: 0.781250] [adversarial loss: 1.570149, acc: 0.203125] 34455: [discriminator loss: 0.516566, acc: 0.734375] [adversarial loss: 1.091512, acc: 0.375000] 34456: [discriminator loss: 0.551586, acc: 0.726562] [adversarial loss: 1.491696, acc: 0.171875] 34457: [discriminator loss: 0.516296, acc: 0.734375] [adversarial loss: 1.063973, acc: 0.453125] 34458: [discriminator loss: 0.501678, acc: 0.750000] [adversarial loss: 1.593650, acc: 0.125000] 34459: [discriminator loss: 0.418644, acc: 0.820312] [adversarial loss: 1.100728, acc: 0.328125] 34460: [discriminator loss: 0.493829, acc: 0.796875] [adversarial loss: 1.430975, acc: 0.140625] 34461: [discriminator loss: 0.513329, acc: 0.757812] [adversarial loss: 1.374894, acc: 0.234375] 34462: [discriminator loss: 0.490795, acc: 0.734375] [adversarial loss: 1.442249, acc: 0.218750] 34463: [discriminator loss: 0.492765, acc: 0.765625] [adversarial loss: 0.896559, acc: 0.531250] 34464: [discriminator loss: 0.472902, acc: 0.781250] [adversarial loss: 1.617497, acc: 0.156250] 34465: [discriminator loss: 0.523796, acc: 0.703125] [adversarial loss: 1.423563, acc: 0.218750] 34466: [discriminator loss: 0.554234, acc: 0.710938] [adversarial loss: 1.185878, acc: 0.296875] 34467: [discriminator loss: 0.549236, acc: 0.703125] [adversarial loss: 1.205221, acc: 0.312500] 34468: [discriminator loss: 0.531627, acc: 0.679688] [adversarial loss: 0.833815, acc: 0.421875] 34469: [discriminator loss: 0.594033, acc: 0.710938] [adversarial loss: 1.892225, acc: 0.078125] 34470: [discriminator loss: 0.594701, acc: 0.687500] [adversarial loss: 1.005120, acc: 0.453125] 34471: [discriminator loss: 0.552292, acc: 0.726562] [adversarial loss: 1.529605, acc: 0.187500] 34472: [discriminator loss: 0.524229, acc: 0.718750] [adversarial loss: 1.086434, acc: 0.406250] 34473: [discriminator loss: 0.530139, acc: 0.679688] [adversarial loss: 1.508712, acc: 0.125000] 34474: [discriminator loss: 0.521709, acc: 0.734375] [adversarial loss: 1.055821, acc: 0.343750] 34475: [discriminator loss: 0.484985, acc: 0.750000] [adversarial loss: 1.363529, acc: 0.250000] 34476: [discriminator loss: 0.536713, acc: 0.742188] [adversarial loss: 1.483079, acc: 0.218750] 34477: [discriminator loss: 0.513635, acc: 0.718750] [adversarial loss: 1.278501, acc: 0.296875] 34478: [discriminator loss: 0.511478, acc: 0.742188] [adversarial loss: 1.132883, acc: 0.328125] 34479: [discriminator loss: 0.504613, acc: 0.718750] [adversarial loss: 1.135866, acc: 0.281250] 34480: [discriminator loss: 0.479405, acc: 0.750000] [adversarial loss: 1.333803, acc: 0.265625] 34481: [discriminator loss: 0.434935, acc: 0.781250] [adversarial loss: 1.711417, acc: 0.125000] 34482: [discriminator loss: 0.534532, acc: 0.726562] [adversarial loss: 1.166548, acc: 0.296875] 34483: [discriminator loss: 0.581230, acc: 0.679688] [adversarial loss: 1.949030, acc: 0.078125] 34484: [discriminator loss: 0.598758, acc: 0.656250] [adversarial loss: 0.830415, acc: 0.531250] 34485: [discriminator loss: 0.559450, acc: 0.710938] [adversarial loss: 1.516647, acc: 0.140625] 34486: [discriminator loss: 0.550263, acc: 0.710938] [adversarial loss: 0.866571, acc: 0.453125] 34487: [discriminator loss: 0.510954, acc: 0.742188] [adversarial loss: 1.143591, acc: 0.281250] 34488: [discriminator loss: 0.513450, acc: 0.742188] [adversarial loss: 1.364552, acc: 0.187500] 34489: [discriminator loss: 0.500992, acc: 0.734375] [adversarial loss: 1.047396, acc: 0.406250] 34490: [discriminator loss: 0.568376, acc: 0.679688] [adversarial loss: 1.938299, acc: 0.046875] 34491: [discriminator loss: 0.577614, acc: 0.703125] [adversarial loss: 1.005531, acc: 0.359375] 34492: [discriminator loss: 0.530712, acc: 0.710938] [adversarial loss: 1.292906, acc: 0.281250] 34493: [discriminator loss: 0.556571, acc: 0.742188] [adversarial loss: 1.272650, acc: 0.312500] 34494: [discriminator loss: 0.457233, acc: 0.773438] [adversarial loss: 1.281986, acc: 0.234375] 34495: [discriminator loss: 0.524747, acc: 0.742188] [adversarial loss: 1.125318, acc: 0.296875] 34496: [discriminator loss: 0.571248, acc: 0.679688] [adversarial loss: 1.300464, acc: 0.156250] 34497: [discriminator loss: 0.450405, acc: 0.820312] [adversarial loss: 1.303302, acc: 0.234375] 34498: [discriminator loss: 0.546678, acc: 0.687500] [adversarial loss: 1.203260, acc: 0.265625] 34499: [discriminator loss: 0.490839, acc: 0.750000] [adversarial loss: 1.491525, acc: 0.125000] 34500: [discriminator loss: 0.548629, acc: 0.695312] [adversarial loss: 1.002011, acc: 0.328125] 34501: [discriminator loss: 0.469236, acc: 0.765625] [adversarial loss: 1.586836, acc: 0.125000] 34502: [discriminator loss: 0.453993, acc: 0.796875] [adversarial loss: 1.236359, acc: 0.156250] 34503: [discriminator loss: 0.565996, acc: 0.718750] [adversarial loss: 1.614248, acc: 0.171875] 34504: [discriminator loss: 0.590532, acc: 0.671875] [adversarial loss: 0.787532, acc: 0.562500] 34505: [discriminator loss: 0.542050, acc: 0.687500] [adversarial loss: 1.871507, acc: 0.046875] 34506: [discriminator loss: 0.608101, acc: 0.679688] [adversarial loss: 0.747810, acc: 0.531250] 34507: [discriminator loss: 0.547421, acc: 0.671875] [adversarial loss: 1.668112, acc: 0.109375] 34508: [discriminator loss: 0.497955, acc: 0.687500] [adversarial loss: 1.031098, acc: 0.359375] 34509: [discriminator loss: 0.509090, acc: 0.710938] [adversarial loss: 1.507849, acc: 0.140625] 34510: [discriminator loss: 0.553636, acc: 0.718750] [adversarial loss: 0.935813, acc: 0.437500] 34511: [discriminator loss: 0.489424, acc: 0.757812] [adversarial loss: 1.316276, acc: 0.296875] 34512: [discriminator loss: 0.496601, acc: 0.750000] [adversarial loss: 0.947561, acc: 0.468750] 34513: [discriminator loss: 0.520762, acc: 0.710938] [adversarial loss: 1.529957, acc: 0.171875] 34514: [discriminator loss: 0.589572, acc: 0.742188] [adversarial loss: 1.026261, acc: 0.359375] 34515: [discriminator loss: 0.482139, acc: 0.773438] [adversarial loss: 1.426667, acc: 0.187500] 34516: [discriminator loss: 0.499971, acc: 0.742188] [adversarial loss: 1.508815, acc: 0.234375] 34517: [discriminator loss: 0.489429, acc: 0.750000] [adversarial loss: 1.314808, acc: 0.281250] 34518: [discriminator loss: 0.453485, acc: 0.796875] [adversarial loss: 1.276634, acc: 0.343750] 34519: [discriminator loss: 0.513694, acc: 0.765625] [adversarial loss: 1.475585, acc: 0.203125] 34520: [discriminator loss: 0.484408, acc: 0.789062] [adversarial loss: 1.589736, acc: 0.140625] 34521: [discriminator loss: 0.519450, acc: 0.773438] [adversarial loss: 1.289154, acc: 0.234375] 34522: [discriminator loss: 0.592105, acc: 0.679688] [adversarial loss: 1.204549, acc: 0.171875] 34523: [discriminator loss: 0.491449, acc: 0.773438] [adversarial loss: 1.206353, acc: 0.218750] 34524: [discriminator loss: 0.547723, acc: 0.703125] [adversarial loss: 1.688821, acc: 0.140625] 34525: [discriminator loss: 0.530374, acc: 0.726562] [adversarial loss: 0.979728, acc: 0.421875] 34526: [discriminator loss: 0.474687, acc: 0.765625] [adversarial loss: 1.596605, acc: 0.140625] 34527: [discriminator loss: 0.478005, acc: 0.765625] [adversarial loss: 0.845936, acc: 0.437500] 34528: [discriminator loss: 0.563483, acc: 0.734375] [adversarial loss: 2.128148, acc: 0.015625] 34529: [discriminator loss: 0.626562, acc: 0.664062] [adversarial loss: 0.883286, acc: 0.515625] 34530: [discriminator loss: 0.633669, acc: 0.726562] [adversarial loss: 1.867915, acc: 0.046875] 34531: [discriminator loss: 0.561178, acc: 0.703125] [adversarial loss: 1.077338, acc: 0.375000] 34532: [discriminator loss: 0.538469, acc: 0.703125] [adversarial loss: 1.668124, acc: 0.140625] 34533: [discriminator loss: 0.499779, acc: 0.742188] [adversarial loss: 0.977822, acc: 0.421875] 34534: [discriminator loss: 0.573123, acc: 0.726562] [adversarial loss: 1.791659, acc: 0.140625] 34535: [discriminator loss: 0.534981, acc: 0.726562] [adversarial loss: 1.025462, acc: 0.390625] 34536: [discriminator loss: 0.520672, acc: 0.750000] [adversarial loss: 1.580518, acc: 0.218750] 34537: [discriminator loss: 0.443274, acc: 0.750000] [adversarial loss: 1.336955, acc: 0.281250] 34538: [discriminator loss: 0.483796, acc: 0.742188] [adversarial loss: 1.379231, acc: 0.156250] 34539: [discriminator loss: 0.489799, acc: 0.734375] [adversarial loss: 1.481379, acc: 0.218750] 34540: [discriminator loss: 0.522552, acc: 0.750000] [adversarial loss: 1.312491, acc: 0.234375] 34541: [discriminator loss: 0.487706, acc: 0.757812] [adversarial loss: 1.270474, acc: 0.296875] 34542: [discriminator loss: 0.488536, acc: 0.781250] [adversarial loss: 1.333364, acc: 0.218750] 34543: [discriminator loss: 0.480175, acc: 0.750000] [adversarial loss: 1.192490, acc: 0.312500] 34544: [discriminator loss: 0.538444, acc: 0.734375] [adversarial loss: 1.150815, acc: 0.390625] 34545: [discriminator loss: 0.511458, acc: 0.710938] [adversarial loss: 1.167006, acc: 0.234375] 34546: [discriminator loss: 0.490843, acc: 0.773438] [adversarial loss: 1.280279, acc: 0.359375] 34547: [discriminator loss: 0.545116, acc: 0.718750] [adversarial loss: 1.687837, acc: 0.171875] 34548: [discriminator loss: 0.571762, acc: 0.710938] [adversarial loss: 1.087763, acc: 0.312500] 34549: [discriminator loss: 0.443747, acc: 0.820312] [adversarial loss: 1.227411, acc: 0.265625] 34550: [discriminator loss: 0.413859, acc: 0.843750] [adversarial loss: 1.099829, acc: 0.421875] 34551: [discriminator loss: 0.478102, acc: 0.742188] [adversarial loss: 1.274075, acc: 0.250000] 34552: [discriminator loss: 0.468333, acc: 0.781250] [adversarial loss: 1.752847, acc: 0.109375] 34553: [discriminator loss: 0.516132, acc: 0.742188] [adversarial loss: 0.864802, acc: 0.500000] 34554: [discriminator loss: 0.499513, acc: 0.726562] [adversarial loss: 1.234257, acc: 0.187500] 34555: [discriminator loss: 0.449256, acc: 0.773438] [adversarial loss: 0.621137, acc: 0.687500] 34556: [discriminator loss: 0.580327, acc: 0.664062] [adversarial loss: 1.977149, acc: 0.046875] 34557: [discriminator loss: 0.607180, acc: 0.664062] [adversarial loss: 0.906066, acc: 0.468750] 34558: [discriminator loss: 0.597670, acc: 0.679688] [adversarial loss: 1.503113, acc: 0.218750] 34559: [discriminator loss: 0.560707, acc: 0.718750] [adversarial loss: 1.119977, acc: 0.390625] 34560: [discriminator loss: 0.540842, acc: 0.703125] [adversarial loss: 1.189822, acc: 0.328125] 34561: [discriminator loss: 0.495555, acc: 0.765625] [adversarial loss: 1.597648, acc: 0.171875] 34562: [discriminator loss: 0.482421, acc: 0.773438] [adversarial loss: 1.076975, acc: 0.343750] 34563: [discriminator loss: 0.506249, acc: 0.757812] [adversarial loss: 1.374769, acc: 0.281250] 34564: [discriminator loss: 0.442232, acc: 0.765625] [adversarial loss: 1.294923, acc: 0.265625] 34565: [discriminator loss: 0.595197, acc: 0.671875] [adversarial loss: 1.252671, acc: 0.328125] 34566: [discriminator loss: 0.497769, acc: 0.750000] [adversarial loss: 1.487254, acc: 0.109375] 34567: [discriminator loss: 0.433236, acc: 0.804688] [adversarial loss: 1.416320, acc: 0.171875] 34568: [discriminator loss: 0.474194, acc: 0.765625] [adversarial loss: 1.296497, acc: 0.328125] 34569: [discriminator loss: 0.521307, acc: 0.734375] [adversarial loss: 1.345595, acc: 0.234375] 34570: [discriminator loss: 0.552732, acc: 0.679688] [adversarial loss: 1.243178, acc: 0.234375] 34571: [discriminator loss: 0.564637, acc: 0.703125] [adversarial loss: 1.816758, acc: 0.093750] 34572: [discriminator loss: 0.502677, acc: 0.734375] [adversarial loss: 0.616188, acc: 0.656250] 34573: [discriminator loss: 0.560539, acc: 0.726562] [adversarial loss: 2.135666, acc: 0.015625] 34574: [discriminator loss: 0.587374, acc: 0.679688] [adversarial loss: 0.745707, acc: 0.609375] 34575: [discriminator loss: 0.512060, acc: 0.757812] [adversarial loss: 1.580302, acc: 0.140625] 34576: [discriminator loss: 0.534352, acc: 0.726562] [adversarial loss: 1.221604, acc: 0.265625] 34577: [discriminator loss: 0.482998, acc: 0.773438] [adversarial loss: 1.183096, acc: 0.234375] 34578: [discriminator loss: 0.494756, acc: 0.750000] [adversarial loss: 1.440847, acc: 0.156250] 34579: [discriminator loss: 0.450248, acc: 0.750000] [adversarial loss: 1.063391, acc: 0.375000] 34580: [discriminator loss: 0.518198, acc: 0.726562] [adversarial loss: 1.492049, acc: 0.171875] 34581: [discriminator loss: 0.546163, acc: 0.734375] [adversarial loss: 1.100367, acc: 0.375000] 34582: [discriminator loss: 0.497870, acc: 0.750000] [adversarial loss: 1.410837, acc: 0.296875] 34583: [discriminator loss: 0.538590, acc: 0.703125] [adversarial loss: 1.366264, acc: 0.234375] 34584: [discriminator loss: 0.556606, acc: 0.710938] [adversarial loss: 1.262337, acc: 0.203125] 34585: [discriminator loss: 0.515540, acc: 0.718750] [adversarial loss: 1.359028, acc: 0.109375] 34586: [discriminator loss: 0.507792, acc: 0.750000] [adversarial loss: 0.983977, acc: 0.375000] 34587: [discriminator loss: 0.541861, acc: 0.718750] [adversarial loss: 1.685808, acc: 0.109375] 34588: [discriminator loss: 0.542795, acc: 0.656250] [adversarial loss: 1.254651, acc: 0.218750] 34589: [discriminator loss: 0.494996, acc: 0.781250] [adversarial loss: 1.363169, acc: 0.203125] 34590: [discriminator loss: 0.511108, acc: 0.765625] [adversarial loss: 1.341591, acc: 0.203125] 34591: [discriminator loss: 0.530529, acc: 0.718750] [adversarial loss: 1.290256, acc: 0.234375] 34592: [discriminator loss: 0.538763, acc: 0.726562] [adversarial loss: 1.850855, acc: 0.062500] 34593: [discriminator loss: 0.591353, acc: 0.679688] [adversarial loss: 1.019409, acc: 0.406250] 34594: [discriminator loss: 0.620090, acc: 0.710938] [adversarial loss: 1.427914, acc: 0.203125] 34595: [discriminator loss: 0.459846, acc: 0.812500] [adversarial loss: 1.207808, acc: 0.312500] 34596: [discriminator loss: 0.497754, acc: 0.757812] [adversarial loss: 1.522976, acc: 0.125000] 34597: [discriminator loss: 0.530362, acc: 0.703125] [adversarial loss: 1.253543, acc: 0.265625] 34598: [discriminator loss: 0.512366, acc: 0.734375] [adversarial loss: 1.076816, acc: 0.343750] 34599: [discriminator loss: 0.509645, acc: 0.757812] [adversarial loss: 1.401622, acc: 0.156250] 34600: [discriminator loss: 0.474275, acc: 0.757812] [adversarial loss: 1.270027, acc: 0.250000] 34601: [discriminator loss: 0.488255, acc: 0.734375] [adversarial loss: 1.235364, acc: 0.218750] 34602: [discriminator loss: 0.433491, acc: 0.796875] [adversarial loss: 0.915796, acc: 0.484375] 34603: [discriminator loss: 0.536832, acc: 0.726562] [adversarial loss: 1.733347, acc: 0.062500] 34604: [discriminator loss: 0.519981, acc: 0.687500] [adversarial loss: 0.719872, acc: 0.546875] 34605: [discriminator loss: 0.564678, acc: 0.710938] [adversarial loss: 1.680822, acc: 0.156250] 34606: [discriminator loss: 0.616897, acc: 0.656250] [adversarial loss: 0.780753, acc: 0.531250] 34607: [discriminator loss: 0.565434, acc: 0.671875] [adversarial loss: 1.586857, acc: 0.109375] 34608: [discriminator loss: 0.508537, acc: 0.757812] [adversarial loss: 1.018123, acc: 0.359375] 34609: [discriminator loss: 0.456432, acc: 0.804688] [adversarial loss: 1.245269, acc: 0.265625] 34610: [discriminator loss: 0.519551, acc: 0.773438] [adversarial loss: 1.217365, acc: 0.234375] 34611: [discriminator loss: 0.509806, acc: 0.718750] [adversarial loss: 1.017285, acc: 0.359375] 34612: [discriminator loss: 0.572741, acc: 0.703125] [adversarial loss: 1.343315, acc: 0.218750] 34613: [discriminator loss: 0.423251, acc: 0.812500] [adversarial loss: 1.301685, acc: 0.265625] 34614: [discriminator loss: 0.486108, acc: 0.710938] [adversarial loss: 1.104631, acc: 0.312500] 34615: [discriminator loss: 0.551108, acc: 0.710938] [adversarial loss: 1.704482, acc: 0.125000] 34616: [discriminator loss: 0.566955, acc: 0.687500] [adversarial loss: 0.807542, acc: 0.531250] 34617: [discriminator loss: 0.470125, acc: 0.765625] [adversarial loss: 1.679502, acc: 0.109375] 34618: [discriminator loss: 0.506982, acc: 0.773438] [adversarial loss: 1.234751, acc: 0.218750] 34619: [discriminator loss: 0.486937, acc: 0.781250] [adversarial loss: 1.454820, acc: 0.203125] 34620: [discriminator loss: 0.482077, acc: 0.757812] [adversarial loss: 1.007592, acc: 0.375000] 34621: [discriminator loss: 0.531808, acc: 0.710938] [adversarial loss: 1.529904, acc: 0.171875] 34622: [discriminator loss: 0.491167, acc: 0.750000] [adversarial loss: 1.252660, acc: 0.156250] 34623: [discriminator loss: 0.577522, acc: 0.695312] [adversarial loss: 1.456230, acc: 0.203125] 34624: [discriminator loss: 0.507234, acc: 0.703125] [adversarial loss: 1.164646, acc: 0.406250] 34625: [discriminator loss: 0.547379, acc: 0.695312] [adversarial loss: 1.373877, acc: 0.218750] 34626: [discriminator loss: 0.571824, acc: 0.671875] [adversarial loss: 1.244277, acc: 0.296875] 34627: [discriminator loss: 0.482211, acc: 0.742188] [adversarial loss: 0.930989, acc: 0.359375] 34628: [discriminator loss: 0.510275, acc: 0.750000] [adversarial loss: 1.458651, acc: 0.187500] 34629: [discriminator loss: 0.545951, acc: 0.664062] [adversarial loss: 1.179452, acc: 0.390625] 34630: [discriminator loss: 0.468633, acc: 0.781250] [adversarial loss: 1.773130, acc: 0.046875] 34631: [discriminator loss: 0.495725, acc: 0.757812] [adversarial loss: 0.925578, acc: 0.468750] 34632: [discriminator loss: 0.602132, acc: 0.695312] [adversarial loss: 2.043369, acc: 0.031250] 34633: [discriminator loss: 0.620970, acc: 0.640625] [adversarial loss: 0.823253, acc: 0.468750] 34634: [discriminator loss: 0.559702, acc: 0.718750] [adversarial loss: 1.987157, acc: 0.078125] 34635: [discriminator loss: 0.526186, acc: 0.679688] [adversarial loss: 1.003408, acc: 0.390625] 34636: [discriminator loss: 0.487777, acc: 0.750000] [adversarial loss: 1.438538, acc: 0.156250] 34637: [discriminator loss: 0.470877, acc: 0.765625] [adversarial loss: 1.377186, acc: 0.156250] 34638: [discriminator loss: 0.491123, acc: 0.742188] [adversarial loss: 1.529298, acc: 0.203125] 34639: [discriminator loss: 0.459293, acc: 0.812500] [adversarial loss: 1.117518, acc: 0.312500] 34640: [discriminator loss: 0.519969, acc: 0.734375] [adversarial loss: 1.804187, acc: 0.171875] 34641: [discriminator loss: 0.513517, acc: 0.742188] [adversarial loss: 0.891844, acc: 0.468750] 34642: [discriminator loss: 0.559143, acc: 0.750000] [adversarial loss: 1.533673, acc: 0.156250] 34643: [discriminator loss: 0.484274, acc: 0.718750] [adversarial loss: 1.191769, acc: 0.250000] 34644: [discriminator loss: 0.540964, acc: 0.695312] [adversarial loss: 1.355175, acc: 0.187500] 34645: [discriminator loss: 0.513464, acc: 0.726562] [adversarial loss: 1.015430, acc: 0.468750] 34646: [discriminator loss: 0.634817, acc: 0.664062] [adversarial loss: 1.497678, acc: 0.140625] 34647: [discriminator loss: 0.474790, acc: 0.757812] [adversarial loss: 0.914856, acc: 0.468750] 34648: [discriminator loss: 0.542313, acc: 0.710938] [adversarial loss: 1.629463, acc: 0.093750] 34649: [discriminator loss: 0.570504, acc: 0.687500] [adversarial loss: 1.125054, acc: 0.312500] 34650: [discriminator loss: 0.507115, acc: 0.750000] [adversarial loss: 1.621226, acc: 0.140625] 34651: [discriminator loss: 0.588430, acc: 0.687500] [adversarial loss: 1.167068, acc: 0.265625] 34652: [discriminator loss: 0.524952, acc: 0.742188] [adversarial loss: 1.416163, acc: 0.109375] 34653: [discriminator loss: 0.588781, acc: 0.687500] [adversarial loss: 1.008259, acc: 0.375000] 34654: [discriminator loss: 0.514076, acc: 0.781250] [adversarial loss: 1.477912, acc: 0.109375] 34655: [discriminator loss: 0.558844, acc: 0.710938] [adversarial loss: 0.900047, acc: 0.515625] 34656: [discriminator loss: 0.543489, acc: 0.718750] [adversarial loss: 1.554479, acc: 0.218750] 34657: [discriminator loss: 0.553044, acc: 0.726562] [adversarial loss: 1.155215, acc: 0.343750] 34658: [discriminator loss: 0.467634, acc: 0.757812] [adversarial loss: 1.021066, acc: 0.406250] 34659: [discriminator loss: 0.460869, acc: 0.789062] [adversarial loss: 1.394923, acc: 0.250000] 34660: [discriminator loss: 0.549619, acc: 0.710938] [adversarial loss: 1.352670, acc: 0.265625] 34661: [discriminator loss: 0.540403, acc: 0.695312] [adversarial loss: 0.929318, acc: 0.343750] 34662: [discriminator loss: 0.533858, acc: 0.703125] [adversarial loss: 1.636868, acc: 0.125000] 34663: [discriminator loss: 0.597541, acc: 0.656250] [adversarial loss: 0.727488, acc: 0.625000] 34664: [discriminator loss: 0.573429, acc: 0.687500] [adversarial loss: 1.514335, acc: 0.171875] 34665: [discriminator loss: 0.541292, acc: 0.710938] [adversarial loss: 0.913187, acc: 0.406250] 34666: [discriminator loss: 0.619947, acc: 0.632812] [adversarial loss: 1.681688, acc: 0.078125] 34667: [discriminator loss: 0.553691, acc: 0.710938] [adversarial loss: 0.910132, acc: 0.437500] 34668: [discriminator loss: 0.483984, acc: 0.750000] [adversarial loss: 1.629342, acc: 0.062500] 34669: [discriminator loss: 0.571035, acc: 0.718750] [adversarial loss: 1.438132, acc: 0.250000] 34670: [discriminator loss: 0.455961, acc: 0.781250] [adversarial loss: 1.298099, acc: 0.156250] 34671: [discriminator loss: 0.455930, acc: 0.789062] [adversarial loss: 1.288349, acc: 0.234375] 34672: [discriminator loss: 0.522638, acc: 0.710938] [adversarial loss: 1.208550, acc: 0.281250] 34673: [discriminator loss: 0.456489, acc: 0.804688] [adversarial loss: 1.195613, acc: 0.312500] 34674: [discriminator loss: 0.493389, acc: 0.703125] [adversarial loss: 1.635642, acc: 0.125000] 34675: [discriminator loss: 0.493585, acc: 0.710938] [adversarial loss: 0.865074, acc: 0.468750] 34676: [discriminator loss: 0.548735, acc: 0.750000] [adversarial loss: 1.485560, acc: 0.156250] 34677: [discriminator loss: 0.492638, acc: 0.750000] [adversarial loss: 1.068755, acc: 0.437500] 34678: [discriminator loss: 0.565320, acc: 0.718750] [adversarial loss: 1.421436, acc: 0.187500] 34679: [discriminator loss: 0.510123, acc: 0.765625] [adversarial loss: 1.268296, acc: 0.281250] 34680: [discriminator loss: 0.590773, acc: 0.656250] [adversarial loss: 1.521515, acc: 0.140625] 34681: [discriminator loss: 0.503631, acc: 0.710938] [adversarial loss: 1.159801, acc: 0.265625] 34682: [discriminator loss: 0.450830, acc: 0.796875] [adversarial loss: 1.209103, acc: 0.312500] 34683: [discriminator loss: 0.491889, acc: 0.726562] [adversarial loss: 1.175611, acc: 0.312500] 34684: [discriminator loss: 0.464734, acc: 0.796875] [adversarial loss: 1.083792, acc: 0.296875] 34685: [discriminator loss: 0.512315, acc: 0.765625] [adversarial loss: 1.381162, acc: 0.218750] 34686: [discriminator loss: 0.490866, acc: 0.726562] [adversarial loss: 0.808075, acc: 0.531250] 34687: [discriminator loss: 0.519575, acc: 0.726562] [adversarial loss: 1.698722, acc: 0.093750] 34688: [discriminator loss: 0.543429, acc: 0.710938] [adversarial loss: 1.130123, acc: 0.296875] 34689: [discriminator loss: 0.541797, acc: 0.742188] [adversarial loss: 1.413131, acc: 0.187500] 34690: [discriminator loss: 0.457845, acc: 0.804688] [adversarial loss: 1.328818, acc: 0.156250] 34691: [discriminator loss: 0.526013, acc: 0.710938] [adversarial loss: 1.273268, acc: 0.328125] 34692: [discriminator loss: 0.471885, acc: 0.757812] [adversarial loss: 1.447569, acc: 0.140625] 34693: [discriminator loss: 0.556176, acc: 0.710938] [adversarial loss: 1.231853, acc: 0.187500] 34694: [discriminator loss: 0.458792, acc: 0.750000] [adversarial loss: 1.153335, acc: 0.328125] 34695: [discriminator loss: 0.420128, acc: 0.789062] [adversarial loss: 1.446361, acc: 0.156250] 34696: [discriminator loss: 0.452096, acc: 0.812500] [adversarial loss: 0.957542, acc: 0.390625] 34697: [discriminator loss: 0.503238, acc: 0.726562] [adversarial loss: 1.826491, acc: 0.078125] 34698: [discriminator loss: 0.550831, acc: 0.734375] [adversarial loss: 0.803257, acc: 0.515625] 34699: [discriminator loss: 0.603481, acc: 0.679688] [adversarial loss: 1.877737, acc: 0.093750] 34700: [discriminator loss: 0.534246, acc: 0.757812] [adversarial loss: 1.102009, acc: 0.390625] 34701: [discriminator loss: 0.589352, acc: 0.671875] [adversarial loss: 1.808221, acc: 0.093750] 34702: [discriminator loss: 0.516987, acc: 0.765625] [adversarial loss: 0.921207, acc: 0.437500] 34703: [discriminator loss: 0.470100, acc: 0.750000] [adversarial loss: 1.470443, acc: 0.171875] 34704: [discriminator loss: 0.567311, acc: 0.679688] [adversarial loss: 1.369854, acc: 0.203125] 34705: [discriminator loss: 0.446481, acc: 0.804688] [adversarial loss: 1.147096, acc: 0.375000] 34706: [discriminator loss: 0.549806, acc: 0.695312] [adversarial loss: 1.191862, acc: 0.296875] 34707: [discriminator loss: 0.418307, acc: 0.812500] [adversarial loss: 1.154901, acc: 0.343750] 34708: [discriminator loss: 0.554621, acc: 0.679688] [adversarial loss: 1.403327, acc: 0.171875] 34709: [discriminator loss: 0.485394, acc: 0.796875] [adversarial loss: 1.239314, acc: 0.203125] 34710: [discriminator loss: 0.476793, acc: 0.750000] [adversarial loss: 1.304285, acc: 0.281250] 34711: [discriminator loss: 0.528459, acc: 0.703125] [adversarial loss: 1.020325, acc: 0.312500] 34712: [discriminator loss: 0.460091, acc: 0.765625] [adversarial loss: 1.328552, acc: 0.140625] 34713: [discriminator loss: 0.502650, acc: 0.765625] [adversarial loss: 1.395472, acc: 0.281250] 34714: [discriminator loss: 0.466854, acc: 0.781250] [adversarial loss: 1.089434, acc: 0.359375] 34715: [discriminator loss: 0.517665, acc: 0.718750] [adversarial loss: 1.620422, acc: 0.140625] 34716: [discriminator loss: 0.521237, acc: 0.726562] [adversarial loss: 0.939789, acc: 0.375000] 34717: [discriminator loss: 0.492042, acc: 0.750000] [adversarial loss: 1.905089, acc: 0.093750] 34718: [discriminator loss: 0.566027, acc: 0.703125] [adversarial loss: 1.035914, acc: 0.375000] 34719: [discriminator loss: 0.586069, acc: 0.695312] [adversarial loss: 1.765294, acc: 0.015625] 34720: [discriminator loss: 0.617384, acc: 0.679688] [adversarial loss: 0.931763, acc: 0.468750] 34721: [discriminator loss: 0.608663, acc: 0.671875] [adversarial loss: 1.713339, acc: 0.015625] 34722: [discriminator loss: 0.586050, acc: 0.664062] [adversarial loss: 1.125666, acc: 0.312500] 34723: [discriminator loss: 0.523530, acc: 0.695312] [adversarial loss: 1.615122, acc: 0.078125] 34724: [discriminator loss: 0.514400, acc: 0.742188] [adversarial loss: 1.154394, acc: 0.265625] 34725: [discriminator loss: 0.467150, acc: 0.789062] [adversarial loss: 1.384243, acc: 0.171875] 34726: [discriminator loss: 0.491814, acc: 0.765625] [adversarial loss: 1.318113, acc: 0.125000] 34727: [discriminator loss: 0.494731, acc: 0.781250] [adversarial loss: 1.291842, acc: 0.281250] 34728: [discriminator loss: 0.463705, acc: 0.804688] [adversarial loss: 1.683463, acc: 0.187500] 34729: [discriminator loss: 0.569273, acc: 0.671875] [adversarial loss: 1.099376, acc: 0.375000] 34730: [discriminator loss: 0.490206, acc: 0.742188] [adversarial loss: 1.316169, acc: 0.296875] 34731: [discriminator loss: 0.519877, acc: 0.703125] [adversarial loss: 1.667033, acc: 0.156250] 34732: [discriminator loss: 0.587803, acc: 0.664062] [adversarial loss: 0.955007, acc: 0.359375] 34733: [discriminator loss: 0.496483, acc: 0.750000] [adversarial loss: 1.527986, acc: 0.140625] 34734: [discriminator loss: 0.578156, acc: 0.687500] [adversarial loss: 1.106447, acc: 0.328125] 34735: [discriminator loss: 0.559881, acc: 0.695312] [adversarial loss: 1.382399, acc: 0.187500] 34736: [discriminator loss: 0.483784, acc: 0.773438] [adversarial loss: 1.513821, acc: 0.140625] 34737: [discriminator loss: 0.445014, acc: 0.804688] [adversarial loss: 1.113662, acc: 0.375000] 34738: [discriminator loss: 0.576554, acc: 0.773438] [adversarial loss: 1.529335, acc: 0.218750] 34739: [discriminator loss: 0.463772, acc: 0.773438] [adversarial loss: 0.999739, acc: 0.437500] 34740: [discriminator loss: 0.475120, acc: 0.781250] [adversarial loss: 1.305426, acc: 0.156250] 34741: [discriminator loss: 0.440359, acc: 0.781250] [adversarial loss: 1.372519, acc: 0.281250] 34742: [discriminator loss: 0.515170, acc: 0.671875] [adversarial loss: 1.126791, acc: 0.375000] 34743: [discriminator loss: 0.456772, acc: 0.726562] [adversarial loss: 1.792577, acc: 0.125000] 34744: [discriminator loss: 0.533289, acc: 0.742188] [adversarial loss: 1.223948, acc: 0.296875] 34745: [discriminator loss: 0.547778, acc: 0.703125] [adversarial loss: 1.340545, acc: 0.234375] 34746: [discriminator loss: 0.479929, acc: 0.765625] [adversarial loss: 1.341928, acc: 0.328125] 34747: [discriminator loss: 0.558354, acc: 0.718750] [adversarial loss: 1.404102, acc: 0.234375] 34748: [discriminator loss: 0.490340, acc: 0.765625] [adversarial loss: 1.122654, acc: 0.328125] 34749: [discriminator loss: 0.509890, acc: 0.734375] [adversarial loss: 2.042096, acc: 0.015625] 34750: [discriminator loss: 0.632663, acc: 0.656250] [adversarial loss: 0.972496, acc: 0.515625] 34751: [discriminator loss: 0.544098, acc: 0.734375] [adversarial loss: 1.994340, acc: 0.031250] 34752: [discriminator loss: 0.634571, acc: 0.671875] [adversarial loss: 0.733930, acc: 0.578125] 34753: [discriminator loss: 0.575832, acc: 0.687500] [adversarial loss: 1.645677, acc: 0.093750] 34754: [discriminator loss: 0.436163, acc: 0.757812] [adversarial loss: 0.824012, acc: 0.515625] 34755: [discriminator loss: 0.578902, acc: 0.742188] [adversarial loss: 1.466470, acc: 0.140625] 34756: [discriminator loss: 0.495388, acc: 0.750000] [adversarial loss: 1.015455, acc: 0.312500] 34757: [discriminator loss: 0.495915, acc: 0.750000] [adversarial loss: 1.567443, acc: 0.109375] 34758: [discriminator loss: 0.515113, acc: 0.765625] [adversarial loss: 1.044891, acc: 0.468750] 34759: [discriminator loss: 0.576785, acc: 0.734375] [adversarial loss: 1.667447, acc: 0.109375] 34760: [discriminator loss: 0.580009, acc: 0.664062] [adversarial loss: 1.130366, acc: 0.328125] 34761: [discriminator loss: 0.446927, acc: 0.781250] [adversarial loss: 1.163872, acc: 0.359375] 34762: [discriminator loss: 0.536322, acc: 0.718750] [adversarial loss: 1.348912, acc: 0.125000] 34763: [discriminator loss: 0.515156, acc: 0.742188] [adversarial loss: 1.220052, acc: 0.312500] 34764: [discriminator loss: 0.495568, acc: 0.757812] [adversarial loss: 1.340837, acc: 0.140625] 34765: [discriminator loss: 0.490580, acc: 0.750000] [adversarial loss: 1.311375, acc: 0.265625] 34766: [discriminator loss: 0.588232, acc: 0.679688] [adversarial loss: 0.892604, acc: 0.484375] 34767: [discriminator loss: 0.448220, acc: 0.789062] [adversarial loss: 1.501946, acc: 0.109375] 34768: [discriminator loss: 0.516934, acc: 0.742188] [adversarial loss: 0.972754, acc: 0.375000] 34769: [discriminator loss: 0.484613, acc: 0.726562] [adversarial loss: 1.123917, acc: 0.359375] 34770: [discriminator loss: 0.479602, acc: 0.742188] [adversarial loss: 1.153341, acc: 0.359375] 34771: [discriminator loss: 0.526960, acc: 0.695312] [adversarial loss: 1.417456, acc: 0.218750] 34772: [discriminator loss: 0.470275, acc: 0.757812] [adversarial loss: 1.053966, acc: 0.296875] 34773: [discriminator loss: 0.485592, acc: 0.773438] [adversarial loss: 1.578232, acc: 0.093750] 34774: [discriminator loss: 0.511906, acc: 0.742188] [adversarial loss: 0.783909, acc: 0.515625] 34775: [discriminator loss: 0.602807, acc: 0.695312] [adversarial loss: 1.882588, acc: 0.093750] 34776: [discriminator loss: 0.591902, acc: 0.718750] [adversarial loss: 0.730611, acc: 0.578125] 34777: [discriminator loss: 0.602555, acc: 0.687500] [adversarial loss: 1.890766, acc: 0.078125] 34778: [discriminator loss: 0.542787, acc: 0.710938] [adversarial loss: 0.905998, acc: 0.500000] 34779: [discriminator loss: 0.515507, acc: 0.765625] [adversarial loss: 1.370131, acc: 0.218750] 34780: [discriminator loss: 0.464085, acc: 0.796875] [adversarial loss: 1.354240, acc: 0.265625] 34781: [discriminator loss: 0.513405, acc: 0.726562] [adversarial loss: 1.125171, acc: 0.343750] 34782: [discriminator loss: 0.507209, acc: 0.734375] [adversarial loss: 1.317750, acc: 0.234375] 34783: [discriminator loss: 0.475726, acc: 0.765625] [adversarial loss: 1.018792, acc: 0.390625] 34784: [discriminator loss: 0.553799, acc: 0.734375] [adversarial loss: 1.136949, acc: 0.234375] 34785: [discriminator loss: 0.571212, acc: 0.742188] [adversarial loss: 1.276086, acc: 0.203125] 34786: [discriminator loss: 0.516380, acc: 0.703125] [adversarial loss: 0.962213, acc: 0.390625] 34787: [discriminator loss: 0.640780, acc: 0.679688] [adversarial loss: 1.575644, acc: 0.140625] 34788: [discriminator loss: 0.509353, acc: 0.703125] [adversarial loss: 0.831439, acc: 0.484375] 34789: [discriminator loss: 0.573357, acc: 0.671875] [adversarial loss: 1.797221, acc: 0.078125] 34790: [discriminator loss: 0.522129, acc: 0.726562] [adversarial loss: 0.793664, acc: 0.562500] 34791: [discriminator loss: 0.515535, acc: 0.757812] [adversarial loss: 1.765128, acc: 0.125000] 34792: [discriminator loss: 0.506096, acc: 0.726562] [adversarial loss: 0.816028, acc: 0.562500] 34793: [discriminator loss: 0.614112, acc: 0.679688] [adversarial loss: 1.507645, acc: 0.171875] 34794: [discriminator loss: 0.544719, acc: 0.710938] [adversarial loss: 1.099027, acc: 0.312500] 34795: [discriminator loss: 0.502482, acc: 0.750000] [adversarial loss: 1.464230, acc: 0.140625] 34796: [discriminator loss: 0.557224, acc: 0.718750] [adversarial loss: 1.141688, acc: 0.296875] 34797: [discriminator loss: 0.482553, acc: 0.789062] [adversarial loss: 1.299855, acc: 0.328125] 34798: [discriminator loss: 0.505498, acc: 0.710938] [adversarial loss: 1.242739, acc: 0.171875] 34799: [discriminator loss: 0.490749, acc: 0.734375] [adversarial loss: 1.249206, acc: 0.250000] 34800: [discriminator loss: 0.477742, acc: 0.765625] [adversarial loss: 1.643208, acc: 0.218750] 34801: [discriminator loss: 0.589441, acc: 0.703125] [adversarial loss: 1.218438, acc: 0.265625] 34802: [discriminator loss: 0.490372, acc: 0.765625] [adversarial loss: 1.456172, acc: 0.156250] 34803: [discriminator loss: 0.503285, acc: 0.750000] [adversarial loss: 1.131442, acc: 0.328125] 34804: [discriminator loss: 0.482189, acc: 0.781250] [adversarial loss: 1.649550, acc: 0.156250] 34805: [discriminator loss: 0.469660, acc: 0.773438] [adversarial loss: 0.979029, acc: 0.421875] 34806: [discriminator loss: 0.479731, acc: 0.757812] [adversarial loss: 1.474739, acc: 0.140625] 34807: [discriminator loss: 0.543917, acc: 0.703125] [adversarial loss: 1.157316, acc: 0.296875] 34808: [discriminator loss: 0.594489, acc: 0.687500] [adversarial loss: 1.388271, acc: 0.187500] 34809: [discriminator loss: 0.509537, acc: 0.757812] [adversarial loss: 1.145122, acc: 0.312500] 34810: [discriminator loss: 0.544342, acc: 0.750000] [adversarial loss: 1.397722, acc: 0.203125] 34811: [discriminator loss: 0.508577, acc: 0.742188] [adversarial loss: 0.794033, acc: 0.546875] 34812: [discriminator loss: 0.459116, acc: 0.789062] [adversarial loss: 1.467114, acc: 0.093750] 34813: [discriminator loss: 0.471913, acc: 0.765625] [adversarial loss: 1.036990, acc: 0.296875] 34814: [discriminator loss: 0.437208, acc: 0.789062] [adversarial loss: 1.245635, acc: 0.265625] 34815: [discriminator loss: 0.560933, acc: 0.695312] [adversarial loss: 1.164127, acc: 0.296875] 34816: [discriminator loss: 0.478842, acc: 0.828125] [adversarial loss: 1.091331, acc: 0.343750] 34817: [discriminator loss: 0.524662, acc: 0.750000] [adversarial loss: 0.993165, acc: 0.312500] 34818: [discriminator loss: 0.498582, acc: 0.742188] [adversarial loss: 1.142769, acc: 0.343750] 34819: [discriminator loss: 0.464605, acc: 0.781250] [adversarial loss: 0.937414, acc: 0.406250] 34820: [discriminator loss: 0.485846, acc: 0.750000] [adversarial loss: 1.258360, acc: 0.203125] 34821: [discriminator loss: 0.545865, acc: 0.710938] [adversarial loss: 0.988565, acc: 0.359375] 34822: [discriminator loss: 0.507433, acc: 0.742188] [adversarial loss: 1.375777, acc: 0.265625] 34823: [discriminator loss: 0.475005, acc: 0.773438] [adversarial loss: 0.848853, acc: 0.468750] 34824: [discriminator loss: 0.552239, acc: 0.718750] [adversarial loss: 1.499179, acc: 0.234375] 34825: [discriminator loss: 0.590440, acc: 0.703125] [adversarial loss: 0.573219, acc: 0.718750] 34826: [discriminator loss: 0.679659, acc: 0.617188] [adversarial loss: 2.506228, acc: 0.015625] 34827: [discriminator loss: 0.571738, acc: 0.703125] [adversarial loss: 0.957605, acc: 0.296875] 34828: [discriminator loss: 0.562476, acc: 0.687500] [adversarial loss: 1.531108, acc: 0.218750] 34829: [discriminator loss: 0.524109, acc: 0.757812] [adversarial loss: 1.215065, acc: 0.281250] 34830: [discriminator loss: 0.482810, acc: 0.750000] [adversarial loss: 1.501143, acc: 0.203125] 34831: [discriminator loss: 0.496958, acc: 0.742188] [adversarial loss: 1.438404, acc: 0.109375] 34832: [discriminator loss: 0.513160, acc: 0.726562] [adversarial loss: 1.220690, acc: 0.281250] 34833: [discriminator loss: 0.454190, acc: 0.812500] [adversarial loss: 1.432972, acc: 0.156250] 34834: [discriminator loss: 0.576503, acc: 0.664062] [adversarial loss: 1.314396, acc: 0.218750] 34835: [discriminator loss: 0.516481, acc: 0.726562] [adversarial loss: 1.533721, acc: 0.093750] 34836: [discriminator loss: 0.536163, acc: 0.734375] [adversarial loss: 1.234665, acc: 0.281250] 34837: [discriminator loss: 0.439478, acc: 0.789062] [adversarial loss: 1.126034, acc: 0.343750] 34838: [discriminator loss: 0.464267, acc: 0.796875] [adversarial loss: 1.224859, acc: 0.296875] 34839: [discriminator loss: 0.474967, acc: 0.773438] [adversarial loss: 1.549590, acc: 0.125000] 34840: [discriminator loss: 0.447911, acc: 0.828125] [adversarial loss: 1.382627, acc: 0.203125] 34841: [discriminator loss: 0.564510, acc: 0.695312] [adversarial loss: 0.974891, acc: 0.328125] 34842: [discriminator loss: 0.525010, acc: 0.703125] [adversarial loss: 1.455462, acc: 0.187500] 34843: [discriminator loss: 0.526833, acc: 0.718750] [adversarial loss: 0.923565, acc: 0.421875] 34844: [discriminator loss: 0.508584, acc: 0.734375] [adversarial loss: 1.639570, acc: 0.125000] 34845: [discriminator loss: 0.507650, acc: 0.710938] [adversarial loss: 0.977913, acc: 0.437500] 34846: [discriminator loss: 0.554671, acc: 0.726562] [adversarial loss: 1.670185, acc: 0.109375] 34847: [discriminator loss: 0.579801, acc: 0.695312] [adversarial loss: 0.788157, acc: 0.515625] 34848: [discriminator loss: 0.533714, acc: 0.718750] [adversarial loss: 1.742400, acc: 0.109375] 34849: [discriminator loss: 0.509419, acc: 0.695312] [adversarial loss: 0.978182, acc: 0.343750] 34850: [discriminator loss: 0.519065, acc: 0.718750] [adversarial loss: 1.520223, acc: 0.156250] 34851: [discriminator loss: 0.490994, acc: 0.742188] [adversarial loss: 1.031514, acc: 0.328125] 34852: [discriminator loss: 0.568721, acc: 0.679688] [adversarial loss: 1.470857, acc: 0.109375] 34853: [discriminator loss: 0.518032, acc: 0.718750] [adversarial loss: 1.107754, acc: 0.312500] 34854: [discriminator loss: 0.481697, acc: 0.828125] [adversarial loss: 1.409574, acc: 0.234375] 34855: [discriminator loss: 0.482508, acc: 0.773438] [adversarial loss: 1.233646, acc: 0.265625] 34856: [discriminator loss: 0.523173, acc: 0.742188] [adversarial loss: 1.185397, acc: 0.375000] 34857: [discriminator loss: 0.594802, acc: 0.640625] [adversarial loss: 1.619817, acc: 0.031250] 34858: [discriminator loss: 0.536964, acc: 0.687500] [adversarial loss: 0.790954, acc: 0.484375] 34859: [discriminator loss: 0.561130, acc: 0.726562] [adversarial loss: 1.710214, acc: 0.125000] 34860: [discriminator loss: 0.605829, acc: 0.679688] [adversarial loss: 0.874667, acc: 0.406250] 34861: [discriminator loss: 0.651761, acc: 0.726562] [adversarial loss: 1.854043, acc: 0.078125] 34862: [discriminator loss: 0.522937, acc: 0.750000] [adversarial loss: 1.078249, acc: 0.359375] 34863: [discriminator loss: 0.557008, acc: 0.750000] [adversarial loss: 1.514364, acc: 0.109375] 34864: [discriminator loss: 0.459491, acc: 0.750000] [adversarial loss: 1.217816, acc: 0.296875] 34865: [discriminator loss: 0.462071, acc: 0.820312] [adversarial loss: 1.436805, acc: 0.203125] 34866: [discriminator loss: 0.556809, acc: 0.703125] [adversarial loss: 1.603179, acc: 0.140625] 34867: [discriminator loss: 0.495628, acc: 0.710938] [adversarial loss: 1.193818, acc: 0.234375] 34868: [discriminator loss: 0.487180, acc: 0.742188] [adversarial loss: 1.398364, acc: 0.250000] 34869: [discriminator loss: 0.519182, acc: 0.734375] [adversarial loss: 1.364699, acc: 0.265625] 34870: [discriminator loss: 0.536206, acc: 0.703125] [adversarial loss: 1.388839, acc: 0.203125] 34871: [discriminator loss: 0.510840, acc: 0.734375] [adversarial loss: 1.241958, acc: 0.234375] 34872: [discriminator loss: 0.518712, acc: 0.726562] [adversarial loss: 1.117589, acc: 0.250000] 34873: [discriminator loss: 0.535407, acc: 0.734375] [adversarial loss: 1.645286, acc: 0.125000] 34874: [discriminator loss: 0.528181, acc: 0.734375] [adversarial loss: 0.963847, acc: 0.375000] 34875: [discriminator loss: 0.585537, acc: 0.695312] [adversarial loss: 1.297192, acc: 0.156250] 34876: [discriminator loss: 0.500816, acc: 0.742188] [adversarial loss: 0.879801, acc: 0.484375] 34877: [discriminator loss: 0.510951, acc: 0.765625] [adversarial loss: 1.465192, acc: 0.203125] 34878: [discriminator loss: 0.596536, acc: 0.648438] [adversarial loss: 0.864109, acc: 0.468750] 34879: [discriminator loss: 0.557036, acc: 0.726562] [adversarial loss: 1.459087, acc: 0.187500] 34880: [discriminator loss: 0.499561, acc: 0.757812] [adversarial loss: 1.023257, acc: 0.390625] 34881: [discriminator loss: 0.562622, acc: 0.726562] [adversarial loss: 1.525394, acc: 0.125000] 34882: [discriminator loss: 0.563215, acc: 0.718750] [adversarial loss: 1.106972, acc: 0.359375] 34883: [discriminator loss: 0.532698, acc: 0.703125] [adversarial loss: 1.261240, acc: 0.265625] 34884: [discriminator loss: 0.487364, acc: 0.773438] [adversarial loss: 1.024108, acc: 0.328125] 34885: [discriminator loss: 0.538991, acc: 0.710938] [adversarial loss: 1.089129, acc: 0.296875] 34886: [discriminator loss: 0.469184, acc: 0.812500] [adversarial loss: 1.618942, acc: 0.125000] 34887: [discriminator loss: 0.513327, acc: 0.734375] [adversarial loss: 0.983143, acc: 0.312500] 34888: [discriminator loss: 0.489021, acc: 0.742188] [adversarial loss: 1.510491, acc: 0.125000] 34889: [discriminator loss: 0.500771, acc: 0.750000] [adversarial loss: 0.812395, acc: 0.562500] 34890: [discriminator loss: 0.516905, acc: 0.703125] [adversarial loss: 1.588034, acc: 0.187500] 34891: [discriminator loss: 0.469203, acc: 0.750000] [adversarial loss: 1.090057, acc: 0.390625] 34892: [discriminator loss: 0.519289, acc: 0.710938] [adversarial loss: 1.422757, acc: 0.171875] 34893: [discriminator loss: 0.451404, acc: 0.750000] [adversarial loss: 1.319199, acc: 0.234375] 34894: [discriminator loss: 0.488156, acc: 0.773438] [adversarial loss: 0.733552, acc: 0.578125] 34895: [discriminator loss: 0.523281, acc: 0.742188] [adversarial loss: 1.700199, acc: 0.062500] 34896: [discriminator loss: 0.529227, acc: 0.710938] [adversarial loss: 0.927318, acc: 0.390625] 34897: [discriminator loss: 0.534068, acc: 0.742188] [adversarial loss: 1.661682, acc: 0.156250] 34898: [discriminator loss: 0.534258, acc: 0.742188] [adversarial loss: 1.308127, acc: 0.265625] 34899: [discriminator loss: 0.447914, acc: 0.781250] [adversarial loss: 1.068364, acc: 0.343750] 34900: [discriminator loss: 0.471983, acc: 0.742188] [adversarial loss: 1.757360, acc: 0.171875] 34901: [discriminator loss: 0.578508, acc: 0.679688] [adversarial loss: 0.779177, acc: 0.546875] 34902: [discriminator loss: 0.446632, acc: 0.812500] [adversarial loss: 1.282146, acc: 0.218750] 34903: [discriminator loss: 0.527137, acc: 0.734375] [adversarial loss: 0.858177, acc: 0.531250] 34904: [discriminator loss: 0.447294, acc: 0.835938] [adversarial loss: 1.103938, acc: 0.281250] 34905: [discriminator loss: 0.480564, acc: 0.757812] [adversarial loss: 1.188528, acc: 0.281250] 34906: [discriminator loss: 0.576764, acc: 0.601562] [adversarial loss: 1.118909, acc: 0.328125] 34907: [discriminator loss: 0.503750, acc: 0.781250] [adversarial loss: 0.672178, acc: 0.640625] 34908: [discriminator loss: 0.471317, acc: 0.796875] [adversarial loss: 1.209597, acc: 0.250000] 34909: [discriminator loss: 0.535197, acc: 0.718750] [adversarial loss: 0.756019, acc: 0.546875] 34910: [discriminator loss: 0.441564, acc: 0.812500] [adversarial loss: 1.315760, acc: 0.171875] 34911: [discriminator loss: 0.538695, acc: 0.718750] [adversarial loss: 0.866736, acc: 0.484375] 34912: [discriminator loss: 0.575274, acc: 0.703125] [adversarial loss: 1.603561, acc: 0.171875] 34913: [discriminator loss: 0.613916, acc: 0.640625] [adversarial loss: 0.876443, acc: 0.437500] 34914: [discriminator loss: 0.549395, acc: 0.695312] [adversarial loss: 1.185175, acc: 0.250000] 34915: [discriminator loss: 0.530958, acc: 0.742188] [adversarial loss: 1.095681, acc: 0.250000] 34916: [discriminator loss: 0.501479, acc: 0.742188] [adversarial loss: 1.122117, acc: 0.265625] 34917: [discriminator loss: 0.481360, acc: 0.781250] [adversarial loss: 1.296926, acc: 0.218750] 34918: [discriminator loss: 0.495064, acc: 0.718750] [adversarial loss: 1.115757, acc: 0.328125] 34919: [discriminator loss: 0.473059, acc: 0.781250] [adversarial loss: 1.209416, acc: 0.203125] 34920: [discriminator loss: 0.496008, acc: 0.820312] [adversarial loss: 1.178723, acc: 0.265625] 34921: [discriminator loss: 0.449482, acc: 0.804688] [adversarial loss: 1.269898, acc: 0.171875] 34922: [discriminator loss: 0.523139, acc: 0.742188] [adversarial loss: 1.456185, acc: 0.187500] 34923: [discriminator loss: 0.601731, acc: 0.679688] [adversarial loss: 1.496004, acc: 0.156250] 34924: [discriminator loss: 0.486504, acc: 0.796875] [adversarial loss: 1.560953, acc: 0.203125] 34925: [discriminator loss: 0.491330, acc: 0.765625] [adversarial loss: 1.340056, acc: 0.328125] 34926: [discriminator loss: 0.510622, acc: 0.773438] [adversarial loss: 1.554036, acc: 0.125000] 34927: [discriminator loss: 0.460616, acc: 0.796875] [adversarial loss: 1.105313, acc: 0.281250] 34928: [discriminator loss: 0.532868, acc: 0.742188] [adversarial loss: 1.888659, acc: 0.109375] 34929: [discriminator loss: 0.545262, acc: 0.734375] [adversarial loss: 0.978093, acc: 0.421875] 34930: [discriminator loss: 0.542931, acc: 0.687500] [adversarial loss: 1.830891, acc: 0.062500] 34931: [discriminator loss: 0.525595, acc: 0.695312] [adversarial loss: 0.903206, acc: 0.453125] 34932: [discriminator loss: 0.478623, acc: 0.757812] [adversarial loss: 1.697675, acc: 0.093750] 34933: [discriminator loss: 0.515825, acc: 0.742188] [adversarial loss: 1.021464, acc: 0.421875] 34934: [discriminator loss: 0.548770, acc: 0.695312] [adversarial loss: 1.315514, acc: 0.250000] 34935: [discriminator loss: 0.617510, acc: 0.664062] [adversarial loss: 1.562662, acc: 0.140625] 34936: [discriminator loss: 0.511232, acc: 0.742188] [adversarial loss: 1.429766, acc: 0.109375] 34937: [discriminator loss: 0.482797, acc: 0.773438] [adversarial loss: 1.217404, acc: 0.312500] 34938: [discriminator loss: 0.499003, acc: 0.757812] [adversarial loss: 1.505671, acc: 0.203125] 34939: [discriminator loss: 0.470693, acc: 0.757812] [adversarial loss: 1.086468, acc: 0.359375] 34940: [discriminator loss: 0.561085, acc: 0.695312] [adversarial loss: 1.239699, acc: 0.250000] 34941: [discriminator loss: 0.425855, acc: 0.789062] [adversarial loss: 1.210330, acc: 0.296875] 34942: [discriminator loss: 0.532165, acc: 0.687500] [adversarial loss: 1.087570, acc: 0.406250] 34943: [discriminator loss: 0.414213, acc: 0.820312] [adversarial loss: 1.058431, acc: 0.375000] 34944: [discriminator loss: 0.480300, acc: 0.734375] [adversarial loss: 1.946676, acc: 0.078125] 34945: [discriminator loss: 0.519492, acc: 0.718750] [adversarial loss: 0.832989, acc: 0.484375] 34946: [discriminator loss: 0.534425, acc: 0.710938] [adversarial loss: 1.414711, acc: 0.203125] 34947: [discriminator loss: 0.497227, acc: 0.750000] [adversarial loss: 1.216515, acc: 0.218750] 34948: [discriminator loss: 0.542351, acc: 0.710938] [adversarial loss: 1.281683, acc: 0.250000] 34949: [discriminator loss: 0.499934, acc: 0.742188] [adversarial loss: 1.493052, acc: 0.171875] 34950: [discriminator loss: 0.579992, acc: 0.695312] [adversarial loss: 1.243511, acc: 0.218750] 34951: [discriminator loss: 0.508293, acc: 0.742188] [adversarial loss: 1.718039, acc: 0.140625] 34952: [discriminator loss: 0.542291, acc: 0.703125] [adversarial loss: 0.650814, acc: 0.578125] 34953: [discriminator loss: 0.557295, acc: 0.679688] [adversarial loss: 1.728970, acc: 0.093750] 34954: [discriminator loss: 0.588952, acc: 0.679688] [adversarial loss: 1.015260, acc: 0.328125] 34955: [discriminator loss: 0.492582, acc: 0.742188] [adversarial loss: 1.152748, acc: 0.171875] 34956: [discriminator loss: 0.490479, acc: 0.773438] [adversarial loss: 1.128965, acc: 0.359375] 34957: [discriminator loss: 0.487411, acc: 0.750000] [adversarial loss: 1.247398, acc: 0.312500] 34958: [discriminator loss: 0.470830, acc: 0.765625] [adversarial loss: 0.899039, acc: 0.484375] 34959: [discriminator loss: 0.544460, acc: 0.726562] [adversarial loss: 1.601432, acc: 0.203125] 34960: [discriminator loss: 0.597100, acc: 0.648438] [adversarial loss: 0.965399, acc: 0.406250] 34961: [discriminator loss: 0.510593, acc: 0.734375] [adversarial loss: 1.646866, acc: 0.140625] 34962: [discriminator loss: 0.475389, acc: 0.742188] [adversarial loss: 1.071571, acc: 0.328125] 34963: [discriminator loss: 0.564721, acc: 0.695312] [adversarial loss: 1.409695, acc: 0.171875] 34964: [discriminator loss: 0.539177, acc: 0.757812] [adversarial loss: 0.909410, acc: 0.390625] 34965: [discriminator loss: 0.501621, acc: 0.679688] [adversarial loss: 1.404549, acc: 0.281250] 34966: [discriminator loss: 0.503702, acc: 0.757812] [adversarial loss: 1.188138, acc: 0.296875] 34967: [discriminator loss: 0.525775, acc: 0.765625] [adversarial loss: 1.291393, acc: 0.187500] 34968: [discriminator loss: 0.529172, acc: 0.726562] [adversarial loss: 1.085467, acc: 0.328125] 34969: [discriminator loss: 0.561013, acc: 0.679688] [adversarial loss: 1.327815, acc: 0.265625] 34970: [discriminator loss: 0.484468, acc: 0.773438] [adversarial loss: 0.915744, acc: 0.390625] 34971: [discriminator loss: 0.441382, acc: 0.820312] [adversarial loss: 1.477434, acc: 0.140625] 34972: [discriminator loss: 0.481065, acc: 0.804688] [adversarial loss: 1.151221, acc: 0.328125] 34973: [discriminator loss: 0.462988, acc: 0.835938] [adversarial loss: 1.532363, acc: 0.125000] 34974: [discriminator loss: 0.514711, acc: 0.750000] [adversarial loss: 1.234337, acc: 0.265625] 34975: [discriminator loss: 0.510231, acc: 0.742188] [adversarial loss: 1.526444, acc: 0.218750] 34976: [discriminator loss: 0.505420, acc: 0.750000] [adversarial loss: 1.276991, acc: 0.296875] 34977: [discriminator loss: 0.512601, acc: 0.734375] [adversarial loss: 1.328403, acc: 0.296875] 34978: [discriminator loss: 0.494586, acc: 0.757812] [adversarial loss: 1.584587, acc: 0.187500] 34979: [discriminator loss: 0.618230, acc: 0.687500] [adversarial loss: 1.234470, acc: 0.390625] 34980: [discriminator loss: 0.507033, acc: 0.734375] [adversarial loss: 1.780381, acc: 0.078125] 34981: [discriminator loss: 0.472616, acc: 0.781250] [adversarial loss: 1.672560, acc: 0.187500] 34982: [discriminator loss: 0.558635, acc: 0.656250] [adversarial loss: 0.929948, acc: 0.437500] 34983: [discriminator loss: 0.524762, acc: 0.742188] [adversarial loss: 1.564351, acc: 0.109375] 34984: [discriminator loss: 0.500314, acc: 0.765625] [adversarial loss: 0.966950, acc: 0.453125] 34985: [discriminator loss: 0.578074, acc: 0.734375] [adversarial loss: 1.766191, acc: 0.140625] 34986: [discriminator loss: 0.556844, acc: 0.679688] [adversarial loss: 1.084288, acc: 0.375000] 34987: [discriminator loss: 0.529627, acc: 0.734375] [adversarial loss: 1.462831, acc: 0.203125] 34988: [discriminator loss: 0.553455, acc: 0.750000] [adversarial loss: 1.419122, acc: 0.171875] 34989: [discriminator loss: 0.560553, acc: 0.671875] [adversarial loss: 1.067719, acc: 0.250000] 34990: [discriminator loss: 0.564601, acc: 0.726562] [adversarial loss: 1.359434, acc: 0.187500] 34991: [discriminator loss: 0.440365, acc: 0.789062] [adversarial loss: 1.250190, acc: 0.265625] 34992: [discriminator loss: 0.461643, acc: 0.781250] [adversarial loss: 1.203244, acc: 0.281250] 34993: [discriminator loss: 0.469938, acc: 0.773438] [adversarial loss: 1.469730, acc: 0.218750] 34994: [discriminator loss: 0.512861, acc: 0.734375] [adversarial loss: 1.203914, acc: 0.265625] 34995: [discriminator loss: 0.471666, acc: 0.750000] [adversarial loss: 1.632324, acc: 0.140625] 34996: [discriminator loss: 0.574323, acc: 0.664062] [adversarial loss: 0.695491, acc: 0.593750] 34997: [discriminator loss: 0.585294, acc: 0.742188] [adversarial loss: 1.635014, acc: 0.093750] 34998: [discriminator loss: 0.559113, acc: 0.718750] [adversarial loss: 0.986509, acc: 0.437500] 34999: [discriminator loss: 0.563141, acc: 0.718750] [adversarial loss: 1.522594, acc: 0.140625] 35000: [discriminator loss: 0.550467, acc: 0.695312] [adversarial loss: 1.078349, acc: 0.328125] 35001: [discriminator loss: 0.432146, acc: 0.789062] [adversarial loss: 1.278488, acc: 0.296875] 35002: [discriminator loss: 0.583609, acc: 0.679688] [adversarial loss: 1.407134, acc: 0.234375] 35003: [discriminator loss: 0.482801, acc: 0.757812] [adversarial loss: 1.215172, acc: 0.171875] 35004: [discriminator loss: 0.514704, acc: 0.742188] [adversarial loss: 1.161583, acc: 0.328125] 35005: [discriminator loss: 0.492820, acc: 0.757812] [adversarial loss: 1.296324, acc: 0.234375] 35006: [discriminator loss: 0.456047, acc: 0.789062] [adversarial loss: 1.301404, acc: 0.218750] 35007: [discriminator loss: 0.493348, acc: 0.750000] [adversarial loss: 1.182531, acc: 0.250000] 35008: [discriminator loss: 0.465895, acc: 0.750000] [adversarial loss: 1.183604, acc: 0.265625] 35009: [discriminator loss: 0.471250, acc: 0.804688] [adversarial loss: 1.358742, acc: 0.171875] 35010: [discriminator loss: 0.471259, acc: 0.765625] [adversarial loss: 1.198283, acc: 0.312500] 35011: [discriminator loss: 0.437200, acc: 0.804688] [adversarial loss: 1.426954, acc: 0.156250] 35012: [discriminator loss: 0.459331, acc: 0.757812] [adversarial loss: 1.126663, acc: 0.312500] 35013: [discriminator loss: 0.576664, acc: 0.671875] [adversarial loss: 1.919418, acc: 0.062500] 35014: [discriminator loss: 0.592573, acc: 0.664062] [adversarial loss: 1.034474, acc: 0.421875] 35015: [discriminator loss: 0.485892, acc: 0.742188] [adversarial loss: 1.801118, acc: 0.171875] 35016: [discriminator loss: 0.463013, acc: 0.765625] [adversarial loss: 1.416392, acc: 0.187500] 35017: [discriminator loss: 0.488699, acc: 0.742188] [adversarial loss: 1.326665, acc: 0.234375] 35018: [discriminator loss: 0.483081, acc: 0.750000] [adversarial loss: 1.264359, acc: 0.265625] 35019: [discriminator loss: 0.503910, acc: 0.750000] [adversarial loss: 1.268211, acc: 0.312500] 35020: [discriminator loss: 0.497077, acc: 0.757812] [adversarial loss: 1.530421, acc: 0.187500] 35021: [discriminator loss: 0.484662, acc: 0.765625] [adversarial loss: 1.640254, acc: 0.125000] 35022: [discriminator loss: 0.457054, acc: 0.757812] [adversarial loss: 0.997023, acc: 0.484375] 35023: [discriminator loss: 0.530230, acc: 0.703125] [adversarial loss: 1.938326, acc: 0.140625] 35024: [discriminator loss: 0.604386, acc: 0.703125] [adversarial loss: 0.977910, acc: 0.359375] 35025: [discriminator loss: 0.603887, acc: 0.726562] [adversarial loss: 1.734572, acc: 0.109375] 35026: [discriminator loss: 0.542763, acc: 0.703125] [adversarial loss: 1.228094, acc: 0.250000] 35027: [discriminator loss: 0.575178, acc: 0.726562] [adversarial loss: 1.433773, acc: 0.265625] 35028: [discriminator loss: 0.574331, acc: 0.734375] [adversarial loss: 0.967721, acc: 0.437500] 35029: [discriminator loss: 0.486945, acc: 0.804688] [adversarial loss: 1.640193, acc: 0.109375] 35030: [discriminator loss: 0.545748, acc: 0.710938] [adversarial loss: 0.835795, acc: 0.437500] 35031: [discriminator loss: 0.532549, acc: 0.703125] [adversarial loss: 1.867667, acc: 0.125000] 35032: [discriminator loss: 0.616377, acc: 0.679688] [adversarial loss: 1.128763, acc: 0.390625] 35033: [discriminator loss: 0.548621, acc: 0.703125] [adversarial loss: 1.695596, acc: 0.109375] 35034: [discriminator loss: 0.545877, acc: 0.742188] [adversarial loss: 0.947451, acc: 0.390625] 35035: [discriminator loss: 0.611834, acc: 0.625000] [adversarial loss: 1.491259, acc: 0.203125] 35036: [discriminator loss: 0.567643, acc: 0.757812] [adversarial loss: 1.168084, acc: 0.328125] 35037: [discriminator loss: 0.508119, acc: 0.734375] [adversarial loss: 1.468717, acc: 0.187500] 35038: [discriminator loss: 0.574674, acc: 0.703125] [adversarial loss: 1.069066, acc: 0.390625] 35039: [discriminator loss: 0.533000, acc: 0.742188] [adversarial loss: 1.424313, acc: 0.218750] 35040: [discriminator loss: 0.502874, acc: 0.750000] [adversarial loss: 1.080766, acc: 0.437500] 35041: [discriminator loss: 0.535630, acc: 0.765625] [adversarial loss: 1.559627, acc: 0.140625] 35042: [discriminator loss: 0.546215, acc: 0.750000] [adversarial loss: 1.053075, acc: 0.343750] 35043: [discriminator loss: 0.546858, acc: 0.726562] [adversarial loss: 1.177915, acc: 0.265625] 35044: [discriminator loss: 0.516290, acc: 0.695312] [adversarial loss: 1.464553, acc: 0.140625] 35045: [discriminator loss: 0.492542, acc: 0.757812] [adversarial loss: 1.329330, acc: 0.218750] 35046: [discriminator loss: 0.384204, acc: 0.828125] [adversarial loss: 1.253312, acc: 0.281250] 35047: [discriminator loss: 0.459313, acc: 0.750000] [adversarial loss: 1.049115, acc: 0.375000] 35048: [discriminator loss: 0.593917, acc: 0.656250] [adversarial loss: 1.111022, acc: 0.343750] 35049: [discriminator loss: 0.476895, acc: 0.742188] [adversarial loss: 1.312911, acc: 0.187500] 35050: [discriminator loss: 0.492497, acc: 0.765625] [adversarial loss: 0.787283, acc: 0.578125] 35051: [discriminator loss: 0.459811, acc: 0.804688] [adversarial loss: 1.718432, acc: 0.140625] 35052: [discriminator loss: 0.520435, acc: 0.750000] [adversarial loss: 0.935499, acc: 0.390625] 35053: [discriminator loss: 0.500322, acc: 0.726562] [adversarial loss: 1.362636, acc: 0.187500] 35054: [discriminator loss: 0.520950, acc: 0.750000] [adversarial loss: 1.074635, acc: 0.312500] 35055: [discriminator loss: 0.522808, acc: 0.695312] [adversarial loss: 1.328668, acc: 0.250000] 35056: [discriminator loss: 0.538142, acc: 0.726562] [adversarial loss: 0.902580, acc: 0.500000] 35057: [discriminator loss: 0.513503, acc: 0.726562] [adversarial loss: 1.534635, acc: 0.125000] 35058: [discriminator loss: 0.527560, acc: 0.703125] [adversarial loss: 0.771637, acc: 0.531250] 35059: [discriminator loss: 0.462960, acc: 0.734375] [adversarial loss: 1.775622, acc: 0.109375] 35060: [discriminator loss: 0.628557, acc: 0.625000] [adversarial loss: 0.774317, acc: 0.609375] 35061: [discriminator loss: 0.641344, acc: 0.640625] [adversarial loss: 1.801399, acc: 0.093750] 35062: [discriminator loss: 0.550635, acc: 0.710938] [adversarial loss: 1.048830, acc: 0.343750] 35063: [discriminator loss: 0.537266, acc: 0.718750] [adversarial loss: 1.365350, acc: 0.218750] 35064: [discriminator loss: 0.567763, acc: 0.710938] [adversarial loss: 1.098024, acc: 0.375000] 35065: [discriminator loss: 0.489738, acc: 0.750000] [adversarial loss: 1.272456, acc: 0.234375] 35066: [discriminator loss: 0.535527, acc: 0.718750] [adversarial loss: 1.364493, acc: 0.156250] 35067: [discriminator loss: 0.499007, acc: 0.742188] [adversarial loss: 1.286418, acc: 0.140625] 35068: [discriminator loss: 0.557425, acc: 0.734375] [adversarial loss: 1.220592, acc: 0.281250] 35069: [discriminator loss: 0.415658, acc: 0.820312] [adversarial loss: 1.157498, acc: 0.265625] 35070: [discriminator loss: 0.570648, acc: 0.679688] [adversarial loss: 1.416360, acc: 0.203125] 35071: [discriminator loss: 0.424478, acc: 0.812500] [adversarial loss: 1.444219, acc: 0.203125] 35072: [discriminator loss: 0.457510, acc: 0.789062] [adversarial loss: 1.129526, acc: 0.343750] 35073: [discriminator loss: 0.524688, acc: 0.726562] [adversarial loss: 1.812281, acc: 0.078125] 35074: [discriminator loss: 0.471087, acc: 0.750000] [adversarial loss: 0.983860, acc: 0.359375] 35075: [discriminator loss: 0.532265, acc: 0.710938] [adversarial loss: 1.585121, acc: 0.156250] 35076: [discriminator loss: 0.550188, acc: 0.695312] [adversarial loss: 1.103008, acc: 0.328125] 35077: [discriminator loss: 0.493967, acc: 0.773438] [adversarial loss: 1.355566, acc: 0.234375] 35078: [discriminator loss: 0.478575, acc: 0.765625] [adversarial loss: 1.113008, acc: 0.343750] 35079: [discriminator loss: 0.532391, acc: 0.734375] [adversarial loss: 1.501266, acc: 0.203125] 35080: [discriminator loss: 0.518915, acc: 0.781250] [adversarial loss: 1.057712, acc: 0.296875] 35081: [discriminator loss: 0.550451, acc: 0.687500] [adversarial loss: 1.397661, acc: 0.109375] 35082: [discriminator loss: 0.502728, acc: 0.726562] [adversarial loss: 1.250107, acc: 0.281250] 35083: [discriminator loss: 0.548561, acc: 0.671875] [adversarial loss: 0.952859, acc: 0.484375] 35084: [discriminator loss: 0.454383, acc: 0.796875] [adversarial loss: 1.897739, acc: 0.062500] 35085: [discriminator loss: 0.600097, acc: 0.656250] [adversarial loss: 1.001887, acc: 0.312500] 35086: [discriminator loss: 0.481109, acc: 0.804688] [adversarial loss: 1.513479, acc: 0.171875] 35087: [discriminator loss: 0.574511, acc: 0.734375] [adversarial loss: 1.094305, acc: 0.343750] 35088: [discriminator loss: 0.488599, acc: 0.718750] [adversarial loss: 1.739951, acc: 0.156250] 35089: [discriminator loss: 0.481717, acc: 0.726562] [adversarial loss: 0.969525, acc: 0.359375] 35090: [discriminator loss: 0.523907, acc: 0.742188] [adversarial loss: 1.503061, acc: 0.187500] 35091: [discriminator loss: 0.568190, acc: 0.656250] [adversarial loss: 1.029768, acc: 0.390625] 35092: [discriminator loss: 0.554442, acc: 0.703125] [adversarial loss: 1.654164, acc: 0.203125] 35093: [discriminator loss: 0.520697, acc: 0.726562] [adversarial loss: 1.260871, acc: 0.312500] 35094: [discriminator loss: 0.458440, acc: 0.781250] [adversarial loss: 1.592777, acc: 0.156250] 35095: [discriminator loss: 0.618299, acc: 0.710938] [adversarial loss: 1.187905, acc: 0.265625] 35096: [discriminator loss: 0.502631, acc: 0.750000] [adversarial loss: 1.502982, acc: 0.187500] 35097: [discriminator loss: 0.557163, acc: 0.718750] [adversarial loss: 1.343328, acc: 0.218750] 35098: [discriminator loss: 0.508160, acc: 0.750000] [adversarial loss: 1.210639, acc: 0.265625] 35099: [discriminator loss: 0.537558, acc: 0.710938] [adversarial loss: 1.246298, acc: 0.312500] 35100: [discriminator loss: 0.447050, acc: 0.820312] [adversarial loss: 1.425883, acc: 0.218750] 35101: [discriminator loss: 0.486602, acc: 0.742188] [adversarial loss: 1.183697, acc: 0.296875] 35102: [discriminator loss: 0.478434, acc: 0.773438] [adversarial loss: 1.402453, acc: 0.234375] 35103: [discriminator loss: 0.455107, acc: 0.804688] [adversarial loss: 1.301464, acc: 0.234375] 35104: [discriminator loss: 0.463855, acc: 0.773438] [adversarial loss: 1.270056, acc: 0.265625] 35105: [discriminator loss: 0.454346, acc: 0.804688] [adversarial loss: 0.943145, acc: 0.437500] 35106: [discriminator loss: 0.513389, acc: 0.750000] [adversarial loss: 1.765707, acc: 0.140625] 35107: [discriminator loss: 0.646519, acc: 0.648438] [adversarial loss: 1.010089, acc: 0.421875] 35108: [discriminator loss: 0.561454, acc: 0.679688] [adversarial loss: 1.560186, acc: 0.078125] 35109: [discriminator loss: 0.548322, acc: 0.703125] [adversarial loss: 0.946204, acc: 0.421875] 35110: [discriminator loss: 0.515170, acc: 0.718750] [adversarial loss: 1.454226, acc: 0.093750] 35111: [discriminator loss: 0.504475, acc: 0.750000] [adversarial loss: 1.028852, acc: 0.406250] 35112: [discriminator loss: 0.547305, acc: 0.710938] [adversarial loss: 1.573682, acc: 0.125000] 35113: [discriminator loss: 0.534106, acc: 0.757812] [adversarial loss: 0.963236, acc: 0.359375] 35114: [discriminator loss: 0.510831, acc: 0.703125] [adversarial loss: 1.366472, acc: 0.187500] 35115: [discriminator loss: 0.519163, acc: 0.718750] [adversarial loss: 1.132571, acc: 0.343750] 35116: [discriminator loss: 0.455324, acc: 0.812500] [adversarial loss: 1.420248, acc: 0.218750] 35117: [discriminator loss: 0.463339, acc: 0.781250] [adversarial loss: 1.079384, acc: 0.328125] 35118: [discriminator loss: 0.486501, acc: 0.789062] [adversarial loss: 1.361867, acc: 0.187500] 35119: [discriminator loss: 0.525322, acc: 0.734375] [adversarial loss: 1.090154, acc: 0.359375] 35120: [discriminator loss: 0.481521, acc: 0.750000] [adversarial loss: 1.486168, acc: 0.125000] 35121: [discriminator loss: 0.509741, acc: 0.710938] [adversarial loss: 1.086348, acc: 0.343750] 35122: [discriminator loss: 0.539222, acc: 0.679688] [adversarial loss: 1.376076, acc: 0.171875] 35123: [discriminator loss: 0.562614, acc: 0.671875] [adversarial loss: 1.493126, acc: 0.140625] 35124: [discriminator loss: 0.578713, acc: 0.664062] [adversarial loss: 1.202621, acc: 0.328125] 35125: [discriminator loss: 0.529749, acc: 0.757812] [adversarial loss: 1.138901, acc: 0.359375] 35126: [discriminator loss: 0.521547, acc: 0.750000] [adversarial loss: 1.686445, acc: 0.140625] 35127: [discriminator loss: 0.524507, acc: 0.718750] [adversarial loss: 1.058521, acc: 0.421875] 35128: [discriminator loss: 0.598201, acc: 0.710938] [adversarial loss: 1.643832, acc: 0.156250] 35129: [discriminator loss: 0.516961, acc: 0.718750] [adversarial loss: 0.984045, acc: 0.421875] 35130: [discriminator loss: 0.543874, acc: 0.703125] [adversarial loss: 1.438718, acc: 0.218750] 35131: [discriminator loss: 0.535670, acc: 0.757812] [adversarial loss: 0.988574, acc: 0.406250] 35132: [discriminator loss: 0.463176, acc: 0.757812] [adversarial loss: 1.803253, acc: 0.109375] 35133: [discriminator loss: 0.543390, acc: 0.679688] [adversarial loss: 0.970542, acc: 0.390625] 35134: [discriminator loss: 0.542874, acc: 0.710938] [adversarial loss: 1.593004, acc: 0.171875] 35135: [discriminator loss: 0.646381, acc: 0.585938] [adversarial loss: 0.868825, acc: 0.515625] 35136: [discriminator loss: 0.640833, acc: 0.609375] [adversarial loss: 1.574385, acc: 0.093750] 35137: [discriminator loss: 0.487603, acc: 0.726562] [adversarial loss: 0.980298, acc: 0.390625] 35138: [discriminator loss: 0.487755, acc: 0.781250] [adversarial loss: 1.585609, acc: 0.156250] 35139: [discriminator loss: 0.491965, acc: 0.726562] [adversarial loss: 1.486356, acc: 0.156250] 35140: [discriminator loss: 0.553024, acc: 0.718750] [adversarial loss: 1.194371, acc: 0.328125] 35141: [discriminator loss: 0.487324, acc: 0.718750] [adversarial loss: 1.503987, acc: 0.140625] 35142: [discriminator loss: 0.525194, acc: 0.710938] [adversarial loss: 1.179009, acc: 0.312500] 35143: [discriminator loss: 0.472350, acc: 0.789062] [adversarial loss: 1.589815, acc: 0.078125] 35144: [discriminator loss: 0.490843, acc: 0.781250] [adversarial loss: 1.002803, acc: 0.453125] 35145: [discriminator loss: 0.507364, acc: 0.750000] [adversarial loss: 1.539670, acc: 0.156250] 35146: [discriminator loss: 0.454009, acc: 0.781250] [adversarial loss: 0.965486, acc: 0.406250] 35147: [discriminator loss: 0.445787, acc: 0.781250] [adversarial loss: 1.391473, acc: 0.203125] 35148: [discriminator loss: 0.503470, acc: 0.710938] [adversarial loss: 1.253116, acc: 0.250000] 35149: [discriminator loss: 0.482444, acc: 0.765625] [adversarial loss: 1.153676, acc: 0.296875] 35150: [discriminator loss: 0.538840, acc: 0.757812] [adversarial loss: 1.368655, acc: 0.187500] 35151: [discriminator loss: 0.502073, acc: 0.765625] [adversarial loss: 1.040867, acc: 0.312500] 35152: [discriminator loss: 0.474123, acc: 0.804688] [adversarial loss: 1.407629, acc: 0.218750] 35153: [discriminator loss: 0.430842, acc: 0.789062] [adversarial loss: 1.225446, acc: 0.234375] 35154: [discriminator loss: 0.469976, acc: 0.781250] [adversarial loss: 1.170510, acc: 0.343750] 35155: [discriminator loss: 0.514438, acc: 0.687500] [adversarial loss: 1.469860, acc: 0.171875] 35156: [discriminator loss: 0.457683, acc: 0.781250] [adversarial loss: 0.714393, acc: 0.625000] 35157: [discriminator loss: 0.539756, acc: 0.664062] [adversarial loss: 1.647468, acc: 0.140625] 35158: [discriminator loss: 0.556100, acc: 0.679688] [adversarial loss: 0.731540, acc: 0.562500] 35159: [discriminator loss: 0.565781, acc: 0.750000] [adversarial loss: 1.577623, acc: 0.203125] 35160: [discriminator loss: 0.511441, acc: 0.734375] [adversarial loss: 0.968224, acc: 0.359375] 35161: [discriminator loss: 0.505059, acc: 0.718750] [adversarial loss: 1.558214, acc: 0.156250] 35162: [discriminator loss: 0.500156, acc: 0.710938] [adversarial loss: 0.967942, acc: 0.406250] 35163: [discriminator loss: 0.545348, acc: 0.710938] [adversarial loss: 1.567001, acc: 0.093750] 35164: [discriminator loss: 0.505723, acc: 0.750000] [adversarial loss: 0.992673, acc: 0.390625] 35165: [discriminator loss: 0.527052, acc: 0.734375] [adversarial loss: 1.579033, acc: 0.187500] 35166: [discriminator loss: 0.502466, acc: 0.765625] [adversarial loss: 1.321427, acc: 0.250000] 35167: [discriminator loss: 0.513008, acc: 0.734375] [adversarial loss: 1.213278, acc: 0.312500] 35168: [discriminator loss: 0.424545, acc: 0.812500] [adversarial loss: 1.013320, acc: 0.453125] 35169: [discriminator loss: 0.554039, acc: 0.757812] [adversarial loss: 1.361557, acc: 0.171875] 35170: [discriminator loss: 0.484454, acc: 0.796875] [adversarial loss: 1.133072, acc: 0.375000] 35171: [discriminator loss: 0.456519, acc: 0.796875] [adversarial loss: 1.265646, acc: 0.156250] 35172: [discriminator loss: 0.571442, acc: 0.679688] [adversarial loss: 1.405653, acc: 0.234375] 35173: [discriminator loss: 0.505909, acc: 0.734375] [adversarial loss: 1.070004, acc: 0.390625] 35174: [discriminator loss: 0.513805, acc: 0.703125] [adversarial loss: 1.203662, acc: 0.234375] 35175: [discriminator loss: 0.472522, acc: 0.789062] [adversarial loss: 1.155639, acc: 0.312500] 35176: [discriminator loss: 0.540349, acc: 0.718750] [adversarial loss: 0.974697, acc: 0.375000] 35177: [discriminator loss: 0.534443, acc: 0.710938] [adversarial loss: 1.703283, acc: 0.125000] 35178: [discriminator loss: 0.620297, acc: 0.664062] [adversarial loss: 1.335632, acc: 0.281250] 35179: [discriminator loss: 0.577672, acc: 0.664062] [adversarial loss: 1.417386, acc: 0.156250] 35180: [discriminator loss: 0.497996, acc: 0.742188] [adversarial loss: 1.149466, acc: 0.296875] 35181: [discriminator loss: 0.543965, acc: 0.710938] [adversarial loss: 1.411269, acc: 0.156250] 35182: [discriminator loss: 0.509946, acc: 0.742188] [adversarial loss: 0.997303, acc: 0.390625] 35183: [discriminator loss: 0.524258, acc: 0.718750] [adversarial loss: 1.833441, acc: 0.062500] 35184: [discriminator loss: 0.535246, acc: 0.710938] [adversarial loss: 1.204724, acc: 0.390625] 35185: [discriminator loss: 0.605333, acc: 0.617188] [adversarial loss: 1.683258, acc: 0.125000] 35186: [discriminator loss: 0.538388, acc: 0.695312] [adversarial loss: 0.992534, acc: 0.390625] 35187: [discriminator loss: 0.550299, acc: 0.734375] [adversarial loss: 1.248984, acc: 0.234375] 35188: [discriminator loss: 0.584498, acc: 0.718750] [adversarial loss: 1.193833, acc: 0.234375] 35189: [discriminator loss: 0.538162, acc: 0.734375] [adversarial loss: 1.607831, acc: 0.109375] 35190: [discriminator loss: 0.468944, acc: 0.757812] [adversarial loss: 1.005592, acc: 0.343750] 35191: [discriminator loss: 0.519801, acc: 0.757812] [adversarial loss: 1.755489, acc: 0.125000] 35192: [discriminator loss: 0.479028, acc: 0.773438] [adversarial loss: 0.980173, acc: 0.359375] 35193: [discriminator loss: 0.500890, acc: 0.726562] [adversarial loss: 1.567553, acc: 0.171875] 35194: [discriminator loss: 0.497901, acc: 0.757812] [adversarial loss: 0.840057, acc: 0.531250] 35195: [discriminator loss: 0.547581, acc: 0.718750] [adversarial loss: 1.368753, acc: 0.125000] 35196: [discriminator loss: 0.544204, acc: 0.726562] [adversarial loss: 1.060132, acc: 0.484375] 35197: [discriminator loss: 0.472529, acc: 0.773438] [adversarial loss: 1.611452, acc: 0.156250] 35198: [discriminator loss: 0.464067, acc: 0.812500] [adversarial loss: 1.082905, acc: 0.453125] 35199: [discriminator loss: 0.511938, acc: 0.726562] [adversarial loss: 1.300912, acc: 0.265625] 35200: [discriminator loss: 0.469796, acc: 0.796875] [adversarial loss: 1.340130, acc: 0.203125] 35201: [discriminator loss: 0.518891, acc: 0.710938] [adversarial loss: 1.265359, acc: 0.234375] 35202: [discriminator loss: 0.461156, acc: 0.773438] [adversarial loss: 1.478755, acc: 0.156250] 35203: [discriminator loss: 0.468335, acc: 0.750000] [adversarial loss: 1.087374, acc: 0.328125] 35204: [discriminator loss: 0.432978, acc: 0.820312] [adversarial loss: 1.246354, acc: 0.296875] 35205: [discriminator loss: 0.511111, acc: 0.742188] [adversarial loss: 0.812451, acc: 0.515625] 35206: [discriminator loss: 0.590161, acc: 0.718750] [adversarial loss: 1.468846, acc: 0.203125] 35207: [discriminator loss: 0.626493, acc: 0.679688] [adversarial loss: 0.762917, acc: 0.515625] 35208: [discriminator loss: 0.529356, acc: 0.765625] [adversarial loss: 1.556271, acc: 0.093750] 35209: [discriminator loss: 0.493456, acc: 0.773438] [adversarial loss: 0.902489, acc: 0.500000] 35210: [discriminator loss: 0.518783, acc: 0.726562] [adversarial loss: 1.413618, acc: 0.203125] 35211: [discriminator loss: 0.481371, acc: 0.757812] [adversarial loss: 1.146992, acc: 0.281250] 35212: [discriminator loss: 0.479668, acc: 0.804688] [adversarial loss: 1.354359, acc: 0.187500] 35213: [discriminator loss: 0.526850, acc: 0.781250] [adversarial loss: 1.014566, acc: 0.312500] 35214: [discriminator loss: 0.489793, acc: 0.773438] [adversarial loss: 1.529739, acc: 0.140625] 35215: [discriminator loss: 0.545020, acc: 0.687500] [adversarial loss: 1.169208, acc: 0.250000] 35216: [discriminator loss: 0.432956, acc: 0.812500] [adversarial loss: 1.387066, acc: 0.156250] 35217: [discriminator loss: 0.532647, acc: 0.757812] [adversarial loss: 1.104355, acc: 0.375000] 35218: [discriminator loss: 0.553519, acc: 0.742188] [adversarial loss: 1.870533, acc: 0.062500] 35219: [discriminator loss: 0.524499, acc: 0.718750] [adversarial loss: 1.000815, acc: 0.468750] 35220: [discriminator loss: 0.530219, acc: 0.726562] [adversarial loss: 1.296867, acc: 0.078125] 35221: [discriminator loss: 0.500028, acc: 0.750000] [adversarial loss: 0.920434, acc: 0.406250] 35222: [discriminator loss: 0.475238, acc: 0.789062] [adversarial loss: 1.124957, acc: 0.359375] 35223: [discriminator loss: 0.572679, acc: 0.703125] [adversarial loss: 1.119679, acc: 0.375000] 35224: [discriminator loss: 0.450654, acc: 0.742188] [adversarial loss: 1.166262, acc: 0.265625] 35225: [discriminator loss: 0.552225, acc: 0.703125] [adversarial loss: 1.505244, acc: 0.218750] 35226: [discriminator loss: 0.511904, acc: 0.750000] [adversarial loss: 1.397764, acc: 0.203125] 35227: [discriminator loss: 0.569110, acc: 0.750000] [adversarial loss: 1.276317, acc: 0.265625] 35228: [discriminator loss: 0.541815, acc: 0.703125] [adversarial loss: 1.320594, acc: 0.281250] 35229: [discriminator loss: 0.444466, acc: 0.734375] [adversarial loss: 1.560873, acc: 0.203125] 35230: [discriminator loss: 0.518422, acc: 0.742188] [adversarial loss: 0.974150, acc: 0.343750] 35231: [discriminator loss: 0.428991, acc: 0.804688] [adversarial loss: 1.892990, acc: 0.093750] 35232: [discriminator loss: 0.477558, acc: 0.765625] [adversarial loss: 1.304104, acc: 0.250000] 35233: [discriminator loss: 0.536876, acc: 0.703125] [adversarial loss: 1.900388, acc: 0.093750] 35234: [discriminator loss: 0.525572, acc: 0.726562] [adversarial loss: 1.078524, acc: 0.390625] 35235: [discriminator loss: 0.429773, acc: 0.789062] [adversarial loss: 1.711429, acc: 0.140625] 35236: [discriminator loss: 0.507512, acc: 0.726562] [adversarial loss: 1.100701, acc: 0.375000] 35237: [discriminator loss: 0.491414, acc: 0.742188] [adversarial loss: 1.873474, acc: 0.078125] 35238: [discriminator loss: 0.507474, acc: 0.742188] [adversarial loss: 1.005807, acc: 0.359375] 35239: [discriminator loss: 0.558635, acc: 0.695312] [adversarial loss: 1.773828, acc: 0.093750] 35240: [discriminator loss: 0.587150, acc: 0.718750] [adversarial loss: 0.743841, acc: 0.546875] 35241: [discriminator loss: 0.470034, acc: 0.765625] [adversarial loss: 1.723011, acc: 0.125000] 35242: [discriminator loss: 0.542890, acc: 0.703125] [adversarial loss: 0.975343, acc: 0.343750] 35243: [discriminator loss: 0.507555, acc: 0.781250] [adversarial loss: 1.262213, acc: 0.203125] 35244: [discriminator loss: 0.469749, acc: 0.742188] [adversarial loss: 1.274433, acc: 0.218750] 35245: [discriminator loss: 0.449838, acc: 0.789062] [adversarial loss: 1.213717, acc: 0.281250] 35246: [discriminator loss: 0.587654, acc: 0.710938] [adversarial loss: 1.455026, acc: 0.218750] 35247: [discriminator loss: 0.525299, acc: 0.750000] [adversarial loss: 0.998646, acc: 0.375000] 35248: [discriminator loss: 0.550604, acc: 0.710938] [adversarial loss: 1.544554, acc: 0.156250] 35249: [discriminator loss: 0.506477, acc: 0.796875] [adversarial loss: 0.944842, acc: 0.437500] 35250: [discriminator loss: 0.519487, acc: 0.703125] [adversarial loss: 1.332992, acc: 0.265625] 35251: [discriminator loss: 0.524819, acc: 0.718750] [adversarial loss: 1.365307, acc: 0.203125] 35252: [discriminator loss: 0.522145, acc: 0.726562] [adversarial loss: 1.535571, acc: 0.140625] 35253: [discriminator loss: 0.467085, acc: 0.757812] [adversarial loss: 0.914607, acc: 0.453125] 35254: [discriminator loss: 0.491109, acc: 0.781250] [adversarial loss: 1.448677, acc: 0.156250] 35255: [discriminator loss: 0.507946, acc: 0.703125] [adversarial loss: 1.013923, acc: 0.421875] 35256: [discriminator loss: 0.503230, acc: 0.742188] [adversarial loss: 1.770383, acc: 0.062500] 35257: [discriminator loss: 0.569252, acc: 0.703125] [adversarial loss: 0.798550, acc: 0.531250] 35258: [discriminator loss: 0.546446, acc: 0.750000] [adversarial loss: 1.460084, acc: 0.171875] 35259: [discriminator loss: 0.422066, acc: 0.828125] [adversarial loss: 1.019478, acc: 0.437500] 35260: [discriminator loss: 0.605691, acc: 0.703125] [adversarial loss: 1.447893, acc: 0.156250] 35261: [discriminator loss: 0.493029, acc: 0.757812] [adversarial loss: 1.184258, acc: 0.281250] 35262: [discriminator loss: 0.475590, acc: 0.812500] [adversarial loss: 1.480482, acc: 0.171875] 35263: [discriminator loss: 0.563001, acc: 0.718750] [adversarial loss: 1.086108, acc: 0.312500] 35264: [discriminator loss: 0.420878, acc: 0.843750] [adversarial loss: 1.340977, acc: 0.312500] 35265: [discriminator loss: 0.434982, acc: 0.804688] [adversarial loss: 1.032008, acc: 0.390625] 35266: [discriminator loss: 0.614801, acc: 0.679688] [adversarial loss: 1.291357, acc: 0.218750] 35267: [discriminator loss: 0.533203, acc: 0.703125] [adversarial loss: 0.959703, acc: 0.312500] 35268: [discriminator loss: 0.474451, acc: 0.765625] [adversarial loss: 1.726303, acc: 0.125000] 35269: [discriminator loss: 0.536433, acc: 0.718750] [adversarial loss: 0.780471, acc: 0.562500] 35270: [discriminator loss: 0.578598, acc: 0.757812] [adversarial loss: 1.813808, acc: 0.125000] 35271: [discriminator loss: 0.617172, acc: 0.671875] [adversarial loss: 1.100924, acc: 0.343750] 35272: [discriminator loss: 0.556258, acc: 0.703125] [adversarial loss: 1.526828, acc: 0.171875] 35273: [discriminator loss: 0.461129, acc: 0.750000] [adversarial loss: 1.193896, acc: 0.265625] 35274: [discriminator loss: 0.493762, acc: 0.726562] [adversarial loss: 1.245893, acc: 0.296875] 35275: [discriminator loss: 0.576366, acc: 0.632812] [adversarial loss: 1.393758, acc: 0.218750] 35276: [discriminator loss: 0.497375, acc: 0.765625] [adversarial loss: 1.143908, acc: 0.328125] 35277: [discriminator loss: 0.474048, acc: 0.750000] [adversarial loss: 1.617928, acc: 0.125000] 35278: [discriminator loss: 0.532776, acc: 0.703125] [adversarial loss: 0.996098, acc: 0.437500] 35279: [discriminator loss: 0.508753, acc: 0.757812] [adversarial loss: 1.266387, acc: 0.250000] 35280: [discriminator loss: 0.444600, acc: 0.789062] [adversarial loss: 1.229948, acc: 0.328125] 35281: [discriminator loss: 0.596731, acc: 0.703125] [adversarial loss: 1.781971, acc: 0.156250] 35282: [discriminator loss: 0.598076, acc: 0.664062] [adversarial loss: 0.948265, acc: 0.406250] 35283: [discriminator loss: 0.519572, acc: 0.773438] [adversarial loss: 1.436587, acc: 0.265625] 35284: [discriminator loss: 0.521630, acc: 0.718750] [adversarial loss: 1.193506, acc: 0.265625] 35285: [discriminator loss: 0.548434, acc: 0.757812] [adversarial loss: 1.373163, acc: 0.140625] 35286: [discriminator loss: 0.469973, acc: 0.757812] [adversarial loss: 1.162259, acc: 0.453125] 35287: [discriminator loss: 0.517239, acc: 0.742188] [adversarial loss: 1.384398, acc: 0.140625] 35288: [discriminator loss: 0.516056, acc: 0.750000] [adversarial loss: 1.725079, acc: 0.140625] 35289: [discriminator loss: 0.465801, acc: 0.757812] [adversarial loss: 0.926189, acc: 0.437500] 35290: [discriminator loss: 0.446830, acc: 0.820312] [adversarial loss: 1.632932, acc: 0.078125] 35291: [discriminator loss: 0.534169, acc: 0.718750] [adversarial loss: 0.917928, acc: 0.484375] 35292: [discriminator loss: 0.500785, acc: 0.750000] [adversarial loss: 1.654146, acc: 0.109375] 35293: [discriminator loss: 0.569627, acc: 0.687500] [adversarial loss: 0.986613, acc: 0.375000] 35294: [discriminator loss: 0.503600, acc: 0.703125] [adversarial loss: 1.185836, acc: 0.265625] 35295: [discriminator loss: 0.474652, acc: 0.750000] [adversarial loss: 1.044598, acc: 0.390625] 35296: [discriminator loss: 0.460299, acc: 0.781250] [adversarial loss: 1.790501, acc: 0.203125] 35297: [discriminator loss: 0.579154, acc: 0.664062] [adversarial loss: 1.032164, acc: 0.406250] 35298: [discriminator loss: 0.502651, acc: 0.757812] [adversarial loss: 1.708387, acc: 0.093750] 35299: [discriminator loss: 0.472019, acc: 0.734375] [adversarial loss: 0.940377, acc: 0.453125] 35300: [discriminator loss: 0.499698, acc: 0.742188] [adversarial loss: 1.437275, acc: 0.265625] 35301: [discriminator loss: 0.619465, acc: 0.695312] [adversarial loss: 1.211763, acc: 0.265625] 35302: [discriminator loss: 0.482174, acc: 0.781250] [adversarial loss: 1.343619, acc: 0.171875] 35303: [discriminator loss: 0.462675, acc: 0.757812] [adversarial loss: 1.709981, acc: 0.125000] 35304: [discriminator loss: 0.533224, acc: 0.710938] [adversarial loss: 1.370672, acc: 0.156250] 35305: [discriminator loss: 0.515172, acc: 0.703125] [adversarial loss: 1.311222, acc: 0.234375] 35306: [discriminator loss: 0.512830, acc: 0.734375] [adversarial loss: 1.245904, acc: 0.187500] 35307: [discriminator loss: 0.584512, acc: 0.742188] [adversarial loss: 1.170430, acc: 0.281250] 35308: [discriminator loss: 0.554520, acc: 0.695312] [adversarial loss: 1.121044, acc: 0.281250] 35309: [discriminator loss: 0.552771, acc: 0.742188] [adversarial loss: 1.745631, acc: 0.140625] 35310: [discriminator loss: 0.522341, acc: 0.726562] [adversarial loss: 0.817980, acc: 0.500000] 35311: [discriminator loss: 0.589589, acc: 0.703125] [adversarial loss: 1.673855, acc: 0.093750] 35312: [discriminator loss: 0.507435, acc: 0.718750] [adversarial loss: 0.894195, acc: 0.437500] 35313: [discriminator loss: 0.487896, acc: 0.750000] [adversarial loss: 1.647265, acc: 0.171875] 35314: [discriminator loss: 0.558866, acc: 0.718750] [adversarial loss: 0.985189, acc: 0.390625] 35315: [discriminator loss: 0.482195, acc: 0.750000] [adversarial loss: 1.408425, acc: 0.203125] 35316: [discriminator loss: 0.454342, acc: 0.796875] [adversarial loss: 1.505291, acc: 0.171875] 35317: [discriminator loss: 0.501100, acc: 0.765625] [adversarial loss: 1.231254, acc: 0.265625] 35318: [discriminator loss: 0.475047, acc: 0.734375] [adversarial loss: 1.545242, acc: 0.140625] 35319: [discriminator loss: 0.515010, acc: 0.750000] [adversarial loss: 1.438024, acc: 0.187500] 35320: [discriminator loss: 0.561879, acc: 0.695312] [adversarial loss: 1.053013, acc: 0.437500] 35321: [discriminator loss: 0.466868, acc: 0.789062] [adversarial loss: 1.521365, acc: 0.046875] 35322: [discriminator loss: 0.571842, acc: 0.640625] [adversarial loss: 0.823673, acc: 0.484375] 35323: [discriminator loss: 0.442972, acc: 0.789062] [adversarial loss: 1.345803, acc: 0.281250] 35324: [discriminator loss: 0.551587, acc: 0.710938] [adversarial loss: 1.094595, acc: 0.328125] 35325: [discriminator loss: 0.524991, acc: 0.742188] [adversarial loss: 1.407881, acc: 0.234375] 35326: [discriminator loss: 0.491405, acc: 0.742188] [adversarial loss: 0.983103, acc: 0.390625] 35327: [discriminator loss: 0.439948, acc: 0.789062] [adversarial loss: 1.300650, acc: 0.234375] 35328: [discriminator loss: 0.419268, acc: 0.804688] [adversarial loss: 1.266913, acc: 0.218750] 35329: [discriminator loss: 0.472590, acc: 0.765625] [adversarial loss: 1.045449, acc: 0.375000] 35330: [discriminator loss: 0.499905, acc: 0.757812] [adversarial loss: 1.161555, acc: 0.187500] 35331: [discriminator loss: 0.488019, acc: 0.773438] [adversarial loss: 1.143315, acc: 0.296875] 35332: [discriminator loss: 0.538033, acc: 0.750000] [adversarial loss: 1.004242, acc: 0.437500] 35333: [discriminator loss: 0.522676, acc: 0.710938] [adversarial loss: 1.349828, acc: 0.171875] 35334: [discriminator loss: 0.522879, acc: 0.765625] [adversarial loss: 1.333015, acc: 0.312500] 35335: [discriminator loss: 0.495969, acc: 0.750000] [adversarial loss: 1.196128, acc: 0.312500] 35336: [discriminator loss: 0.511663, acc: 0.757812] [adversarial loss: 1.689509, acc: 0.125000] 35337: [discriminator loss: 0.485809, acc: 0.757812] [adversarial loss: 1.378595, acc: 0.250000] 35338: [discriminator loss: 0.464734, acc: 0.773438] [adversarial loss: 1.901355, acc: 0.031250] 35339: [discriminator loss: 0.515416, acc: 0.750000] [adversarial loss: 1.041881, acc: 0.375000] 35340: [discriminator loss: 0.644366, acc: 0.710938] [adversarial loss: 2.304491, acc: 0.031250] 35341: [discriminator loss: 0.638861, acc: 0.656250] [adversarial loss: 0.986486, acc: 0.406250] 35342: [discriminator loss: 0.542622, acc: 0.734375] [adversarial loss: 1.644374, acc: 0.125000] 35343: [discriminator loss: 0.556752, acc: 0.726562] [adversarial loss: 1.313469, acc: 0.218750] 35344: [discriminator loss: 0.470378, acc: 0.796875] [adversarial loss: 1.369757, acc: 0.218750] 35345: [discriminator loss: 0.515356, acc: 0.750000] [adversarial loss: 1.317414, acc: 0.281250] 35346: [discriminator loss: 0.548635, acc: 0.695312] [adversarial loss: 1.470210, acc: 0.218750] 35347: [discriminator loss: 0.525392, acc: 0.750000] [adversarial loss: 1.182259, acc: 0.234375] 35348: [discriminator loss: 0.511436, acc: 0.765625] [adversarial loss: 1.584502, acc: 0.156250] 35349: [discriminator loss: 0.482358, acc: 0.773438] [adversarial loss: 0.986734, acc: 0.437500] 35350: [discriminator loss: 0.476824, acc: 0.765625] [adversarial loss: 1.537350, acc: 0.218750] 35351: [discriminator loss: 0.526093, acc: 0.718750] [adversarial loss: 1.274451, acc: 0.296875] 35352: [discriminator loss: 0.474721, acc: 0.742188] [adversarial loss: 1.469965, acc: 0.218750] 35353: [discriminator loss: 0.495546, acc: 0.773438] [adversarial loss: 1.232914, acc: 0.328125] 35354: [discriminator loss: 0.524854, acc: 0.750000] [adversarial loss: 1.344084, acc: 0.203125] 35355: [discriminator loss: 0.536395, acc: 0.742188] [adversarial loss: 1.175376, acc: 0.328125] 35356: [discriminator loss: 0.493034, acc: 0.789062] [adversarial loss: 1.112304, acc: 0.343750] 35357: [discriminator loss: 0.493854, acc: 0.750000] [adversarial loss: 1.420999, acc: 0.203125] 35358: [discriminator loss: 0.535480, acc: 0.734375] [adversarial loss: 1.131712, acc: 0.281250] 35359: [discriminator loss: 0.507792, acc: 0.742188] [adversarial loss: 1.570563, acc: 0.187500] 35360: [discriminator loss: 0.511774, acc: 0.742188] [adversarial loss: 1.214487, acc: 0.312500] 35361: [discriminator loss: 0.523751, acc: 0.718750] [adversarial loss: 1.787504, acc: 0.031250] 35362: [discriminator loss: 0.624284, acc: 0.640625] [adversarial loss: 0.742094, acc: 0.562500] 35363: [discriminator loss: 0.528969, acc: 0.757812] [adversarial loss: 1.386391, acc: 0.218750] 35364: [discriminator loss: 0.485447, acc: 0.750000] [adversarial loss: 0.939512, acc: 0.375000] 35365: [discriminator loss: 0.613080, acc: 0.648438] [adversarial loss: 1.835004, acc: 0.125000] 35366: [discriminator loss: 0.518901, acc: 0.710938] [adversarial loss: 1.272704, acc: 0.296875] 35367: [discriminator loss: 0.529294, acc: 0.695312] [adversarial loss: 1.451767, acc: 0.234375] 35368: [discriminator loss: 0.525365, acc: 0.734375] [adversarial loss: 1.298002, acc: 0.250000] 35369: [discriminator loss: 0.448440, acc: 0.757812] [adversarial loss: 1.116226, acc: 0.281250] 35370: [discriminator loss: 0.441103, acc: 0.804688] [adversarial loss: 1.310632, acc: 0.218750] 35371: [discriminator loss: 0.494139, acc: 0.742188] [adversarial loss: 1.198227, acc: 0.406250] 35372: [discriminator loss: 0.499450, acc: 0.765625] [adversarial loss: 1.500400, acc: 0.140625] 35373: [discriminator loss: 0.518161, acc: 0.757812] [adversarial loss: 1.107692, acc: 0.421875] 35374: [discriminator loss: 0.540351, acc: 0.757812] [adversarial loss: 1.340343, acc: 0.187500] 35375: [discriminator loss: 0.488017, acc: 0.765625] [adversarial loss: 0.803601, acc: 0.531250] 35376: [discriminator loss: 0.490627, acc: 0.734375] [adversarial loss: 1.735378, acc: 0.109375] 35377: [discriminator loss: 0.621601, acc: 0.640625] [adversarial loss: 0.852238, acc: 0.531250] 35378: [discriminator loss: 0.524528, acc: 0.750000] [adversarial loss: 1.384490, acc: 0.187500] 35379: [discriminator loss: 0.512304, acc: 0.695312] [adversarial loss: 1.157937, acc: 0.281250] 35380: [discriminator loss: 0.406994, acc: 0.828125] [adversarial loss: 1.111070, acc: 0.296875] 35381: [discriminator loss: 0.489840, acc: 0.750000] [adversarial loss: 1.336562, acc: 0.156250] 35382: [discriminator loss: 0.463302, acc: 0.812500] [adversarial loss: 1.113465, acc: 0.406250] 35383: [discriminator loss: 0.504314, acc: 0.710938] [adversarial loss: 1.383271, acc: 0.171875] 35384: [discriminator loss: 0.512459, acc: 0.742188] [adversarial loss: 0.978441, acc: 0.421875] 35385: [discriminator loss: 0.423759, acc: 0.796875] [adversarial loss: 1.254287, acc: 0.218750] 35386: [discriminator loss: 0.543048, acc: 0.726562] [adversarial loss: 1.062538, acc: 0.375000] 35387: [discriminator loss: 0.510267, acc: 0.796875] [adversarial loss: 1.434031, acc: 0.171875] 35388: [discriminator loss: 0.513050, acc: 0.812500] [adversarial loss: 0.917878, acc: 0.484375] 35389: [discriminator loss: 0.515683, acc: 0.750000] [adversarial loss: 1.274252, acc: 0.218750] 35390: [discriminator loss: 0.472361, acc: 0.757812] [adversarial loss: 0.948160, acc: 0.437500] 35391: [discriminator loss: 0.449897, acc: 0.804688] [adversarial loss: 1.527855, acc: 0.187500] 35392: [discriminator loss: 0.458114, acc: 0.757812] [adversarial loss: 1.141453, acc: 0.265625] 35393: [discriminator loss: 0.504699, acc: 0.773438] [adversarial loss: 1.148828, acc: 0.281250] 35394: [discriminator loss: 0.442414, acc: 0.789062] [adversarial loss: 1.103650, acc: 0.343750] 35395: [discriminator loss: 0.464130, acc: 0.773438] [adversarial loss: 0.991491, acc: 0.343750] 35396: [discriminator loss: 0.451103, acc: 0.796875] [adversarial loss: 0.993339, acc: 0.500000] 35397: [discriminator loss: 0.458692, acc: 0.757812] [adversarial loss: 1.269618, acc: 0.343750] 35398: [discriminator loss: 0.474014, acc: 0.734375] [adversarial loss: 1.497998, acc: 0.156250] 35399: [discriminator loss: 0.553718, acc: 0.687500] [adversarial loss: 0.786520, acc: 0.531250] 35400: [discriminator loss: 0.580064, acc: 0.726562] [adversarial loss: 1.961369, acc: 0.109375] 35401: [discriminator loss: 0.578294, acc: 0.710938] [adversarial loss: 0.949519, acc: 0.421875] 35402: [discriminator loss: 0.503053, acc: 0.812500] [adversarial loss: 1.688573, acc: 0.187500] 35403: [discriminator loss: 0.487020, acc: 0.703125] [adversarial loss: 1.151868, acc: 0.375000] 35404: [discriminator loss: 0.524269, acc: 0.703125] [adversarial loss: 1.727959, acc: 0.093750] 35405: [discriminator loss: 0.471342, acc: 0.789062] [adversarial loss: 0.966265, acc: 0.328125] 35406: [discriminator loss: 0.513149, acc: 0.718750] [adversarial loss: 1.636919, acc: 0.140625] 35407: [discriminator loss: 0.511023, acc: 0.734375] [adversarial loss: 1.082078, acc: 0.296875] 35408: [discriminator loss: 0.555128, acc: 0.695312] [adversarial loss: 1.611651, acc: 0.171875] 35409: [discriminator loss: 0.483988, acc: 0.757812] [adversarial loss: 1.070879, acc: 0.406250] 35410: [discriminator loss: 0.569004, acc: 0.734375] [adversarial loss: 1.486784, acc: 0.203125] 35411: [discriminator loss: 0.567266, acc: 0.710938] [adversarial loss: 1.067330, acc: 0.343750] 35412: [discriminator loss: 0.607906, acc: 0.695312] [adversarial loss: 1.678300, acc: 0.156250] 35413: [discriminator loss: 0.548830, acc: 0.656250] [adversarial loss: 1.113209, acc: 0.343750] 35414: [discriminator loss: 0.480913, acc: 0.773438] [adversarial loss: 1.310953, acc: 0.218750] 35415: [discriminator loss: 0.456280, acc: 0.750000] [adversarial loss: 1.407842, acc: 0.156250] 35416: [discriminator loss: 0.586112, acc: 0.718750] [adversarial loss: 1.328293, acc: 0.343750] 35417: [discriminator loss: 0.503934, acc: 0.757812] [adversarial loss: 1.402171, acc: 0.187500] 35418: [discriminator loss: 0.451849, acc: 0.750000] [adversarial loss: 1.016559, acc: 0.468750] 35419: [discriminator loss: 0.446836, acc: 0.796875] [adversarial loss: 1.176003, acc: 0.406250] 35420: [discriminator loss: 0.514479, acc: 0.710938] [adversarial loss: 1.418897, acc: 0.203125] 35421: [discriminator loss: 0.534306, acc: 0.664062] [adversarial loss: 1.170457, acc: 0.390625] 35422: [discriminator loss: 0.661716, acc: 0.671875] [adversarial loss: 1.612665, acc: 0.078125] 35423: [discriminator loss: 0.504971, acc: 0.781250] [adversarial loss: 1.167995, acc: 0.265625] 35424: [discriminator loss: 0.504267, acc: 0.750000] [adversarial loss: 1.446872, acc: 0.218750] 35425: [discriminator loss: 0.547062, acc: 0.687500] [adversarial loss: 1.299815, acc: 0.218750] 35426: [discriminator loss: 0.517556, acc: 0.718750] [adversarial loss: 1.656259, acc: 0.109375] 35427: [discriminator loss: 0.540366, acc: 0.695312] [adversarial loss: 1.054903, acc: 0.343750] 35428: [discriminator loss: 0.457069, acc: 0.695312] [adversarial loss: 1.434328, acc: 0.171875] 35429: [discriminator loss: 0.535832, acc: 0.703125] [adversarial loss: 1.232094, acc: 0.250000] 35430: [discriminator loss: 0.490356, acc: 0.695312] [adversarial loss: 1.248775, acc: 0.296875] 35431: [discriminator loss: 0.454829, acc: 0.789062] [adversarial loss: 1.273539, acc: 0.265625] 35432: [discriminator loss: 0.540659, acc: 0.687500] [adversarial loss: 1.437095, acc: 0.250000] 35433: [discriminator loss: 0.479480, acc: 0.757812] [adversarial loss: 1.236893, acc: 0.328125] 35434: [discriminator loss: 0.519277, acc: 0.726562] [adversarial loss: 1.314677, acc: 0.234375] 35435: [discriminator loss: 0.512561, acc: 0.750000] [adversarial loss: 1.102679, acc: 0.281250] 35436: [discriminator loss: 0.478889, acc: 0.765625] [adversarial loss: 1.016210, acc: 0.421875] 35437: [discriminator loss: 0.550945, acc: 0.710938] [adversarial loss: 1.520613, acc: 0.140625] 35438: [discriminator loss: 0.534841, acc: 0.695312] [adversarial loss: 0.944187, acc: 0.406250] 35439: [discriminator loss: 0.535139, acc: 0.726562] [adversarial loss: 1.828710, acc: 0.078125] 35440: [discriminator loss: 0.626431, acc: 0.656250] [adversarial loss: 0.741092, acc: 0.562500] 35441: [discriminator loss: 0.467301, acc: 0.796875] [adversarial loss: 1.755396, acc: 0.156250] 35442: [discriminator loss: 0.614143, acc: 0.656250] [adversarial loss: 0.930593, acc: 0.500000] 35443: [discriminator loss: 0.570370, acc: 0.648438] [adversarial loss: 1.071553, acc: 0.312500] 35444: [discriminator loss: 0.605241, acc: 0.664062] [adversarial loss: 1.289667, acc: 0.203125] 35445: [discriminator loss: 0.532012, acc: 0.679688] [adversarial loss: 1.208731, acc: 0.203125] 35446: [discriminator loss: 0.613451, acc: 0.656250] [adversarial loss: 1.313033, acc: 0.281250] 35447: [discriminator loss: 0.516239, acc: 0.773438] [adversarial loss: 1.422009, acc: 0.140625] 35448: [discriminator loss: 0.506650, acc: 0.773438] [adversarial loss: 1.051424, acc: 0.390625] 35449: [discriminator loss: 0.566372, acc: 0.726562] [adversarial loss: 1.430474, acc: 0.156250] 35450: [discriminator loss: 0.467116, acc: 0.789062] [adversarial loss: 1.152012, acc: 0.328125] 35451: [discriminator loss: 0.544871, acc: 0.710938] [adversarial loss: 1.213140, acc: 0.328125] 35452: [discriminator loss: 0.548179, acc: 0.757812] [adversarial loss: 1.241486, acc: 0.296875] 35453: [discriminator loss: 0.486750, acc: 0.757812] [adversarial loss: 1.295773, acc: 0.234375] 35454: [discriminator loss: 0.499739, acc: 0.765625] [adversarial loss: 1.265458, acc: 0.156250] 35455: [discriminator loss: 0.544287, acc: 0.750000] [adversarial loss: 1.246584, acc: 0.234375] 35456: [discriminator loss: 0.494243, acc: 0.750000] [adversarial loss: 1.209413, acc: 0.296875] 35457: [discriminator loss: 0.431288, acc: 0.789062] [adversarial loss: 1.246671, acc: 0.250000] 35458: [discriminator loss: 0.540057, acc: 0.757812] [adversarial loss: 1.335483, acc: 0.203125] 35459: [discriminator loss: 0.448800, acc: 0.804688] [adversarial loss: 1.385912, acc: 0.156250] 35460: [discriminator loss: 0.479690, acc: 0.765625] [adversarial loss: 1.082678, acc: 0.375000] 35461: [discriminator loss: 0.483051, acc: 0.773438] [adversarial loss: 1.373106, acc: 0.203125] 35462: [discriminator loss: 0.546119, acc: 0.695312] [adversarial loss: 1.585579, acc: 0.093750] 35463: [discriminator loss: 0.549920, acc: 0.703125] [adversarial loss: 0.905078, acc: 0.453125] 35464: [discriminator loss: 0.525227, acc: 0.726562] [adversarial loss: 1.467244, acc: 0.140625] 35465: [discriminator loss: 0.533437, acc: 0.710938] [adversarial loss: 0.841885, acc: 0.578125] 35466: [discriminator loss: 0.559612, acc: 0.718750] [adversarial loss: 1.741805, acc: 0.140625] 35467: [discriminator loss: 0.518534, acc: 0.765625] [adversarial loss: 0.864846, acc: 0.468750] 35468: [discriminator loss: 0.612829, acc: 0.710938] [adversarial loss: 1.750854, acc: 0.046875] 35469: [discriminator loss: 0.533590, acc: 0.726562] [adversarial loss: 1.001680, acc: 0.359375] 35470: [discriminator loss: 0.476913, acc: 0.750000] [adversarial loss: 1.475430, acc: 0.265625] 35471: [discriminator loss: 0.501157, acc: 0.710938] [adversarial loss: 1.218834, acc: 0.296875] 35472: [discriminator loss: 0.493081, acc: 0.773438] [adversarial loss: 1.148377, acc: 0.390625] 35473: [discriminator loss: 0.455120, acc: 0.796875] [adversarial loss: 1.449290, acc: 0.203125] 35474: [discriminator loss: 0.472842, acc: 0.773438] [adversarial loss: 0.895793, acc: 0.546875] 35475: [discriminator loss: 0.493193, acc: 0.796875] [adversarial loss: 1.661107, acc: 0.140625] 35476: [discriminator loss: 0.554354, acc: 0.695312] [adversarial loss: 1.030716, acc: 0.390625] 35477: [discriminator loss: 0.454007, acc: 0.773438] [adversarial loss: 1.426211, acc: 0.109375] 35478: [discriminator loss: 0.508368, acc: 0.742188] [adversarial loss: 1.435816, acc: 0.281250] 35479: [discriminator loss: 0.445802, acc: 0.789062] [adversarial loss: 1.571829, acc: 0.187500] 35480: [discriminator loss: 0.438455, acc: 0.859375] [adversarial loss: 1.253363, acc: 0.250000] 35481: [discriminator loss: 0.553568, acc: 0.664062] [adversarial loss: 1.628861, acc: 0.125000] 35482: [discriminator loss: 0.556324, acc: 0.710938] [adversarial loss: 0.954599, acc: 0.468750] 35483: [discriminator loss: 0.572158, acc: 0.687500] [adversarial loss: 1.646821, acc: 0.156250] 35484: [discriminator loss: 0.412443, acc: 0.820312] [adversarial loss: 1.222178, acc: 0.234375] 35485: [discriminator loss: 0.451871, acc: 0.804688] [adversarial loss: 1.677176, acc: 0.171875] 35486: [discriminator loss: 0.517202, acc: 0.750000] [adversarial loss: 1.285526, acc: 0.312500] 35487: [discriminator loss: 0.487264, acc: 0.750000] [adversarial loss: 1.348135, acc: 0.187500] 35488: [discriminator loss: 0.438442, acc: 0.804688] [adversarial loss: 1.167732, acc: 0.375000] 35489: [discriminator loss: 0.480658, acc: 0.757812] [adversarial loss: 1.538204, acc: 0.234375] 35490: [discriminator loss: 0.536796, acc: 0.718750] [adversarial loss: 0.845410, acc: 0.515625] 35491: [discriminator loss: 0.616276, acc: 0.679688] [adversarial loss: 2.290429, acc: 0.000000] 35492: [discriminator loss: 0.592343, acc: 0.703125] [adversarial loss: 0.713083, acc: 0.593750] 35493: [discriminator loss: 0.564559, acc: 0.726562] [adversarial loss: 1.702263, acc: 0.093750] 35494: [discriminator loss: 0.565284, acc: 0.648438] [adversarial loss: 1.129400, acc: 0.328125] 35495: [discriminator loss: 0.468108, acc: 0.750000] [adversarial loss: 1.353220, acc: 0.234375] 35496: [discriminator loss: 0.528926, acc: 0.742188] [adversarial loss: 1.063193, acc: 0.328125] 35497: [discriminator loss: 0.412499, acc: 0.851562] [adversarial loss: 1.177889, acc: 0.328125] 35498: [discriminator loss: 0.525680, acc: 0.703125] [adversarial loss: 1.033893, acc: 0.421875] 35499: [discriminator loss: 0.477210, acc: 0.781250] [adversarial loss: 0.980075, acc: 0.421875] 35500: [discriminator loss: 0.556090, acc: 0.703125] [adversarial loss: 1.424428, acc: 0.218750] 35501: [discriminator loss: 0.510709, acc: 0.765625] [adversarial loss: 0.954889, acc: 0.421875] 35502: [discriminator loss: 0.463354, acc: 0.765625] [adversarial loss: 1.357105, acc: 0.265625] 35503: [discriminator loss: 0.502611, acc: 0.750000] [adversarial loss: 0.792375, acc: 0.515625] 35504: [discriminator loss: 0.557730, acc: 0.718750] [adversarial loss: 1.758009, acc: 0.156250] 35505: [discriminator loss: 0.511357, acc: 0.726562] [adversarial loss: 0.939913, acc: 0.359375] 35506: [discriminator loss: 0.515879, acc: 0.750000] [adversarial loss: 1.604528, acc: 0.093750] 35507: [discriminator loss: 0.550467, acc: 0.734375] [adversarial loss: 1.151409, acc: 0.359375] 35508: [discriminator loss: 0.502235, acc: 0.750000] [adversarial loss: 1.166715, acc: 0.296875] 35509: [discriminator loss: 0.545769, acc: 0.734375] [adversarial loss: 1.457460, acc: 0.125000] 35510: [discriminator loss: 0.437669, acc: 0.773438] [adversarial loss: 1.129657, acc: 0.281250] 35511: [discriminator loss: 0.531546, acc: 0.742188] [adversarial loss: 1.500010, acc: 0.156250] 35512: [discriminator loss: 0.537196, acc: 0.750000] [adversarial loss: 1.237194, acc: 0.234375] 35513: [discriminator loss: 0.566827, acc: 0.664062] [adversarial loss: 1.341530, acc: 0.281250] 35514: [discriminator loss: 0.532098, acc: 0.726562] [adversarial loss: 1.329522, acc: 0.156250] 35515: [discriminator loss: 0.471253, acc: 0.781250] [adversarial loss: 1.401340, acc: 0.218750] 35516: [discriminator loss: 0.517144, acc: 0.742188] [adversarial loss: 1.299466, acc: 0.218750] 35517: [discriminator loss: 0.468736, acc: 0.781250] [adversarial loss: 1.575323, acc: 0.125000] 35518: [discriminator loss: 0.544577, acc: 0.695312] [adversarial loss: 1.104545, acc: 0.265625] 35519: [discriminator loss: 0.561452, acc: 0.679688] [adversarial loss: 1.681002, acc: 0.078125] 35520: [discriminator loss: 0.540045, acc: 0.687500] [adversarial loss: 0.933930, acc: 0.390625] 35521: [discriminator loss: 0.546384, acc: 0.726562] [adversarial loss: 1.674542, acc: 0.046875] 35522: [discriminator loss: 0.562797, acc: 0.656250] [adversarial loss: 0.683524, acc: 0.625000] 35523: [discriminator loss: 0.583549, acc: 0.710938] [adversarial loss: 1.727902, acc: 0.125000] 35524: [discriminator loss: 0.582557, acc: 0.695312] [adversarial loss: 1.068684, acc: 0.296875] 35525: [discriminator loss: 0.510733, acc: 0.750000] [adversarial loss: 1.410557, acc: 0.218750] 35526: [discriminator loss: 0.501875, acc: 0.773438] [adversarial loss: 1.260004, acc: 0.234375] 35527: [discriminator loss: 0.543623, acc: 0.726562] [adversarial loss: 1.151902, acc: 0.250000] 35528: [discriminator loss: 0.439539, acc: 0.796875] [adversarial loss: 1.190311, acc: 0.281250] 35529: [discriminator loss: 0.459853, acc: 0.781250] [adversarial loss: 1.322991, acc: 0.218750] 35530: [discriminator loss: 0.501073, acc: 0.781250] [adversarial loss: 1.090223, acc: 0.265625] 35531: [discriminator loss: 0.462663, acc: 0.742188] [adversarial loss: 1.052159, acc: 0.296875] 35532: [discriminator loss: 0.488065, acc: 0.757812] [adversarial loss: 1.318909, acc: 0.250000] 35533: [discriminator loss: 0.427529, acc: 0.796875] [adversarial loss: 1.291701, acc: 0.203125] 35534: [discriminator loss: 0.525853, acc: 0.750000] [adversarial loss: 1.395098, acc: 0.187500] 35535: [discriminator loss: 0.462040, acc: 0.789062] [adversarial loss: 1.006456, acc: 0.390625] 35536: [discriminator loss: 0.573886, acc: 0.671875] [adversarial loss: 1.770401, acc: 0.125000] 35537: [discriminator loss: 0.526112, acc: 0.703125] [adversarial loss: 0.962013, acc: 0.406250] 35538: [discriminator loss: 0.554618, acc: 0.734375] [adversarial loss: 2.106104, acc: 0.093750] 35539: [discriminator loss: 0.574063, acc: 0.671875] [adversarial loss: 0.965448, acc: 0.437500] 35540: [discriminator loss: 0.519397, acc: 0.750000] [adversarial loss: 1.919573, acc: 0.078125] 35541: [discriminator loss: 0.537727, acc: 0.687500] [adversarial loss: 0.862423, acc: 0.546875] 35542: [discriminator loss: 0.627545, acc: 0.656250] [adversarial loss: 1.512667, acc: 0.171875] 35543: [discriminator loss: 0.508767, acc: 0.773438] [adversarial loss: 1.073173, acc: 0.343750] 35544: [discriminator loss: 0.564419, acc: 0.718750] [adversarial loss: 1.661579, acc: 0.125000] 35545: [discriminator loss: 0.539036, acc: 0.687500] [adversarial loss: 1.060185, acc: 0.421875] 35546: [discriminator loss: 0.484411, acc: 0.765625] [adversarial loss: 1.323606, acc: 0.234375] 35547: [discriminator loss: 0.484494, acc: 0.710938] [adversarial loss: 1.171621, acc: 0.203125] 35548: [discriminator loss: 0.477174, acc: 0.789062] [adversarial loss: 1.461264, acc: 0.156250] 35549: [discriminator loss: 0.431907, acc: 0.820312] [adversarial loss: 1.016373, acc: 0.437500] 35550: [discriminator loss: 0.439446, acc: 0.789062] [adversarial loss: 1.489300, acc: 0.203125] 35551: [discriminator loss: 0.446498, acc: 0.773438] [adversarial loss: 1.198328, acc: 0.265625] 35552: [discriminator loss: 0.508238, acc: 0.765625] [adversarial loss: 1.340183, acc: 0.187500] 35553: [discriminator loss: 0.561816, acc: 0.671875] [adversarial loss: 0.993489, acc: 0.515625] 35554: [discriminator loss: 0.510620, acc: 0.750000] [adversarial loss: 1.553406, acc: 0.218750] 35555: [discriminator loss: 0.541303, acc: 0.726562] [adversarial loss: 0.894337, acc: 0.484375] 35556: [discriminator loss: 0.551336, acc: 0.718750] [adversarial loss: 1.751426, acc: 0.093750] 35557: [discriminator loss: 0.512224, acc: 0.742188] [adversarial loss: 0.786929, acc: 0.515625] 35558: [discriminator loss: 0.585814, acc: 0.703125] [adversarial loss: 1.549537, acc: 0.156250] 35559: [discriminator loss: 0.541913, acc: 0.750000] [adversarial loss: 1.005579, acc: 0.375000] 35560: [discriminator loss: 0.509612, acc: 0.757812] [adversarial loss: 1.394277, acc: 0.187500] 35561: [discriminator loss: 0.573028, acc: 0.703125] [adversarial loss: 1.078014, acc: 0.343750] 35562: [discriminator loss: 0.468113, acc: 0.796875] [adversarial loss: 1.292721, acc: 0.296875] 35563: [discriminator loss: 0.469916, acc: 0.781250] [adversarial loss: 1.459065, acc: 0.187500] 35564: [discriminator loss: 0.575912, acc: 0.703125] [adversarial loss: 1.242947, acc: 0.265625] 35565: [discriminator loss: 0.537393, acc: 0.750000] [adversarial loss: 1.167798, acc: 0.265625] 35566: [discriminator loss: 0.543341, acc: 0.671875] [adversarial loss: 1.342128, acc: 0.234375] 35567: [discriminator loss: 0.553524, acc: 0.710938] [adversarial loss: 1.134439, acc: 0.375000] 35568: [discriminator loss: 0.546706, acc: 0.726562] [adversarial loss: 1.499832, acc: 0.140625] 35569: [discriminator loss: 0.531328, acc: 0.718750] [adversarial loss: 1.251230, acc: 0.203125] 35570: [discriminator loss: 0.539276, acc: 0.750000] [adversarial loss: 1.611057, acc: 0.125000] 35571: [discriminator loss: 0.515476, acc: 0.765625] [adversarial loss: 0.901810, acc: 0.453125] 35572: [discriminator loss: 0.569512, acc: 0.695312] [adversarial loss: 1.781720, acc: 0.093750] 35573: [discriminator loss: 0.528352, acc: 0.726562] [adversarial loss: 0.877939, acc: 0.468750] 35574: [discriminator loss: 0.494111, acc: 0.742188] [adversarial loss: 1.592140, acc: 0.171875] 35575: [discriminator loss: 0.607549, acc: 0.679688] [adversarial loss: 1.256134, acc: 0.265625] 35576: [discriminator loss: 0.479625, acc: 0.734375] [adversarial loss: 1.193253, acc: 0.359375] 35577: [discriminator loss: 0.499586, acc: 0.726562] [adversarial loss: 1.656569, acc: 0.171875] 35578: [discriminator loss: 0.502845, acc: 0.765625] [adversarial loss: 1.090934, acc: 0.359375] 35579: [discriminator loss: 0.524090, acc: 0.734375] [adversarial loss: 1.584615, acc: 0.078125] 35580: [discriminator loss: 0.500665, acc: 0.757812] [adversarial loss: 1.008310, acc: 0.390625] 35581: [discriminator loss: 0.630360, acc: 0.609375] [adversarial loss: 1.516106, acc: 0.109375] 35582: [discriminator loss: 0.491561, acc: 0.757812] [adversarial loss: 1.368129, acc: 0.187500] 35583: [discriminator loss: 0.546798, acc: 0.718750] [adversarial loss: 1.188836, acc: 0.250000] 35584: [discriminator loss: 0.527296, acc: 0.718750] [adversarial loss: 1.078977, acc: 0.359375] 35585: [discriminator loss: 0.591540, acc: 0.664062] [adversarial loss: 1.864459, acc: 0.078125] 35586: [discriminator loss: 0.546770, acc: 0.710938] [adversarial loss: 1.003454, acc: 0.421875] 35587: [discriminator loss: 0.528515, acc: 0.742188] [adversarial loss: 1.553716, acc: 0.093750] 35588: [discriminator loss: 0.497973, acc: 0.734375] [adversarial loss: 1.146414, acc: 0.312500] 35589: [discriminator loss: 0.485550, acc: 0.781250] [adversarial loss: 1.399917, acc: 0.171875] 35590: [discriminator loss: 0.521607, acc: 0.742188] [adversarial loss: 1.249742, acc: 0.234375] 35591: [discriminator loss: 0.577115, acc: 0.710938] [adversarial loss: 1.111348, acc: 0.265625] 35592: [discriminator loss: 0.581688, acc: 0.640625] [adversarial loss: 1.490531, acc: 0.218750] 35593: [discriminator loss: 0.533640, acc: 0.742188] [adversarial loss: 0.924613, acc: 0.500000] 35594: [discriminator loss: 0.531894, acc: 0.773438] [adversarial loss: 1.969364, acc: 0.093750] 35595: [discriminator loss: 0.537754, acc: 0.718750] [adversarial loss: 1.124621, acc: 0.437500] 35596: [discriminator loss: 0.500435, acc: 0.789062] [adversarial loss: 1.432448, acc: 0.171875] 35597: [discriminator loss: 0.495484, acc: 0.742188] [adversarial loss: 1.114742, acc: 0.437500] 35598: [discriminator loss: 0.542371, acc: 0.742188] [adversarial loss: 1.498389, acc: 0.187500] 35599: [discriminator loss: 0.453169, acc: 0.812500] [adversarial loss: 1.198226, acc: 0.312500] 35600: [discriminator loss: 0.538533, acc: 0.718750] [adversarial loss: 1.103282, acc: 0.328125] 35601: [discriminator loss: 0.472608, acc: 0.789062] [adversarial loss: 1.123407, acc: 0.343750] 35602: [discriminator loss: 0.503227, acc: 0.726562] [adversarial loss: 1.198457, acc: 0.343750] 35603: [discriminator loss: 0.450591, acc: 0.773438] [adversarial loss: 1.100054, acc: 0.328125] 35604: [discriminator loss: 0.507870, acc: 0.718750] [adversarial loss: 1.214542, acc: 0.296875] 35605: [discriminator loss: 0.478232, acc: 0.804688] [adversarial loss: 1.334789, acc: 0.234375] 35606: [discriminator loss: 0.526031, acc: 0.750000] [adversarial loss: 1.201083, acc: 0.187500] 35607: [discriminator loss: 0.532918, acc: 0.757812] [adversarial loss: 1.237137, acc: 0.296875] 35608: [discriminator loss: 0.536433, acc: 0.726562] [adversarial loss: 1.408976, acc: 0.156250] 35609: [discriminator loss: 0.520485, acc: 0.710938] [adversarial loss: 0.801076, acc: 0.562500] 35610: [discriminator loss: 0.529632, acc: 0.742188] [adversarial loss: 1.789101, acc: 0.078125] 35611: [discriminator loss: 0.504115, acc: 0.718750] [adversarial loss: 0.888327, acc: 0.468750] 35612: [discriminator loss: 0.499110, acc: 0.734375] [adversarial loss: 1.366391, acc: 0.187500] 35613: [discriminator loss: 0.500007, acc: 0.757812] [adversarial loss: 1.119022, acc: 0.328125] 35614: [discriminator loss: 0.453500, acc: 0.757812] [adversarial loss: 1.129258, acc: 0.390625] 35615: [discriminator loss: 0.534849, acc: 0.687500] [adversarial loss: 1.155202, acc: 0.343750] 35616: [discriminator loss: 0.428119, acc: 0.820312] [adversarial loss: 1.024550, acc: 0.375000] 35617: [discriminator loss: 0.500256, acc: 0.734375] [adversarial loss: 1.466267, acc: 0.218750] 35618: [discriminator loss: 0.510479, acc: 0.718750] [adversarial loss: 0.861705, acc: 0.468750] 35619: [discriminator loss: 0.538834, acc: 0.710938] [adversarial loss: 1.429440, acc: 0.203125] 35620: [discriminator loss: 0.580242, acc: 0.671875] [adversarial loss: 0.996338, acc: 0.281250] 35621: [discriminator loss: 0.445873, acc: 0.812500] [adversarial loss: 1.422140, acc: 0.281250] 35622: [discriminator loss: 0.502436, acc: 0.820312] [adversarial loss: 1.206211, acc: 0.250000] 35623: [discriminator loss: 0.551905, acc: 0.695312] [adversarial loss: 1.567148, acc: 0.156250] 35624: [discriminator loss: 0.473509, acc: 0.773438] [adversarial loss: 1.249270, acc: 0.156250] 35625: [discriminator loss: 0.470751, acc: 0.835938] [adversarial loss: 1.306454, acc: 0.187500] 35626: [discriminator loss: 0.485035, acc: 0.750000] [adversarial loss: 1.423067, acc: 0.156250] 35627: [discriminator loss: 0.479365, acc: 0.750000] [adversarial loss: 1.107928, acc: 0.406250] 35628: [discriminator loss: 0.510128, acc: 0.750000] [adversarial loss: 1.947622, acc: 0.109375] 35629: [discriminator loss: 0.706839, acc: 0.570312] [adversarial loss: 0.774759, acc: 0.546875] 35630: [discriminator loss: 0.529902, acc: 0.734375] [adversarial loss: 2.080598, acc: 0.093750] 35631: [discriminator loss: 0.572213, acc: 0.679688] [adversarial loss: 1.252681, acc: 0.296875] 35632: [discriminator loss: 0.562299, acc: 0.695312] [adversarial loss: 1.370645, acc: 0.218750] 35633: [discriminator loss: 0.432908, acc: 0.843750] [adversarial loss: 1.528579, acc: 0.156250] 35634: [discriminator loss: 0.545894, acc: 0.734375] [adversarial loss: 1.045309, acc: 0.343750] 35635: [discriminator loss: 0.455651, acc: 0.757812] [adversarial loss: 1.179586, acc: 0.296875] 35636: [discriminator loss: 0.509655, acc: 0.718750] [adversarial loss: 1.130925, acc: 0.312500] 35637: [discriminator loss: 0.452044, acc: 0.804688] [adversarial loss: 1.054528, acc: 0.375000] 35638: [discriminator loss: 0.525908, acc: 0.703125] [adversarial loss: 1.233553, acc: 0.218750] 35639: [discriminator loss: 0.604638, acc: 0.671875] [adversarial loss: 1.319155, acc: 0.218750] 35640: [discriminator loss: 0.572909, acc: 0.703125] [adversarial loss: 1.018884, acc: 0.328125] 35641: [discriminator loss: 0.450725, acc: 0.781250] [adversarial loss: 1.182778, acc: 0.281250] 35642: [discriminator loss: 0.451080, acc: 0.796875] [adversarial loss: 1.079469, acc: 0.375000] 35643: [discriminator loss: 0.402953, acc: 0.859375] [adversarial loss: 1.076861, acc: 0.312500] 35644: [discriminator loss: 0.527799, acc: 0.718750] [adversarial loss: 0.951255, acc: 0.515625] 35645: [discriminator loss: 0.547336, acc: 0.703125] [adversarial loss: 1.034108, acc: 0.359375] 35646: [discriminator loss: 0.444058, acc: 0.773438] [adversarial loss: 0.976554, acc: 0.328125] 35647: [discriminator loss: 0.474546, acc: 0.765625] [adversarial loss: 0.893430, acc: 0.500000] 35648: [discriminator loss: 0.504893, acc: 0.773438] [adversarial loss: 1.355614, acc: 0.156250] 35649: [discriminator loss: 0.492607, acc: 0.742188] [adversarial loss: 0.669363, acc: 0.687500] 35650: [discriminator loss: 0.487719, acc: 0.734375] [adversarial loss: 1.715899, acc: 0.140625] 35651: [discriminator loss: 0.613804, acc: 0.640625] [adversarial loss: 0.850577, acc: 0.515625] 35652: [discriminator loss: 0.564488, acc: 0.703125] [adversarial loss: 1.398937, acc: 0.140625] 35653: [discriminator loss: 0.517978, acc: 0.734375] [adversarial loss: 0.994343, acc: 0.437500] 35654: [discriminator loss: 0.485977, acc: 0.765625] [adversarial loss: 1.189178, acc: 0.250000] 35655: [discriminator loss: 0.513006, acc: 0.734375] [adversarial loss: 0.910398, acc: 0.375000] 35656: [discriminator loss: 0.444052, acc: 0.773438] [adversarial loss: 1.518983, acc: 0.234375] 35657: [discriminator loss: 0.492929, acc: 0.781250] [adversarial loss: 0.790401, acc: 0.500000] 35658: [discriminator loss: 0.522891, acc: 0.734375] [adversarial loss: 1.220749, acc: 0.265625] 35659: [discriminator loss: 0.439707, acc: 0.781250] [adversarial loss: 0.629932, acc: 0.703125] 35660: [discriminator loss: 0.488975, acc: 0.781250] [adversarial loss: 1.533554, acc: 0.187500] 35661: [discriminator loss: 0.523199, acc: 0.750000] [adversarial loss: 1.122282, acc: 0.328125] 35662: [discriminator loss: 0.539494, acc: 0.687500] [adversarial loss: 1.634406, acc: 0.203125] 35663: [discriminator loss: 0.489385, acc: 0.710938] [adversarial loss: 0.805458, acc: 0.500000] 35664: [discriminator loss: 0.508997, acc: 0.773438] [adversarial loss: 1.588950, acc: 0.171875] 35665: [discriminator loss: 0.506973, acc: 0.726562] [adversarial loss: 1.086468, acc: 0.359375] 35666: [discriminator loss: 0.492366, acc: 0.718750] [adversarial loss: 2.191007, acc: 0.000000] 35667: [discriminator loss: 0.468973, acc: 0.765625] [adversarial loss: 1.369890, acc: 0.281250] 35668: [discriminator loss: 0.479679, acc: 0.750000] [adversarial loss: 2.717749, acc: 0.031250] 35669: [discriminator loss: 0.478003, acc: 0.742188] [adversarial loss: 1.664318, acc: 0.187500] 35670: [discriminator loss: 0.430653, acc: 0.781250] [adversarial loss: 2.259110, acc: 0.093750] 35671: [discriminator loss: 0.525458, acc: 0.734375] [adversarial loss: 1.719355, acc: 0.171875] 35672: [discriminator loss: 0.596346, acc: 0.648438] [adversarial loss: 1.249793, acc: 0.328125] 35673: [discriminator loss: 0.510960, acc: 0.742188] [adversarial loss: 1.039307, acc: 0.421875] 35674: [discriminator loss: 0.509643, acc: 0.773438] [adversarial loss: 2.209505, acc: 0.062500] 35675: [discriminator loss: 0.567100, acc: 0.710938] [adversarial loss: 1.202680, acc: 0.296875] 35676: [discriminator loss: 0.476778, acc: 0.773438] [adversarial loss: 1.669022, acc: 0.125000] 35677: [discriminator loss: 0.427406, acc: 0.812500] [adversarial loss: 1.510077, acc: 0.187500] 35678: [discriminator loss: 0.485422, acc: 0.750000] [adversarial loss: 1.179448, acc: 0.281250] 35679: [discriminator loss: 0.514665, acc: 0.718750] [adversarial loss: 2.305412, acc: 0.031250] 35680: [discriminator loss: 0.558312, acc: 0.703125] [adversarial loss: 0.882092, acc: 0.437500] 35681: [discriminator loss: 0.510055, acc: 0.750000] [adversarial loss: 1.539251, acc: 0.156250] 35682: [discriminator loss: 0.511114, acc: 0.750000] [adversarial loss: 1.184025, acc: 0.296875] 35683: [discriminator loss: 0.475342, acc: 0.789062] [adversarial loss: 1.495527, acc: 0.171875] 35684: [discriminator loss: 0.524068, acc: 0.695312] [adversarial loss: 1.138264, acc: 0.281250] 35685: [discriminator loss: 0.508009, acc: 0.718750] [adversarial loss: 1.583572, acc: 0.156250] 35686: [discriminator loss: 0.527630, acc: 0.757812] [adversarial loss: 1.321931, acc: 0.218750] 35687: [discriminator loss: 0.537535, acc: 0.734375] [adversarial loss: 1.702015, acc: 0.125000] 35688: [discriminator loss: 0.461298, acc: 0.781250] [adversarial loss: 1.447243, acc: 0.171875] 35689: [discriminator loss: 0.480653, acc: 0.781250] [adversarial loss: 1.278758, acc: 0.187500] 35690: [discriminator loss: 0.476316, acc: 0.757812] [adversarial loss: 1.657265, acc: 0.171875] 35691: [discriminator loss: 0.471539, acc: 0.765625] [adversarial loss: 1.178247, acc: 0.421875] 35692: [discriminator loss: 0.514875, acc: 0.765625] [adversarial loss: 1.579398, acc: 0.109375] 35693: [discriminator loss: 0.568492, acc: 0.687500] [adversarial loss: 0.888971, acc: 0.546875] 35694: [discriminator loss: 0.664908, acc: 0.593750] [adversarial loss: 2.087525, acc: 0.015625] 35695: [discriminator loss: 0.560071, acc: 0.687500] [adversarial loss: 1.073005, acc: 0.328125] 35696: [discriminator loss: 0.552444, acc: 0.679688] [adversarial loss: 1.316494, acc: 0.234375] 35697: [discriminator loss: 0.520516, acc: 0.648438] [adversarial loss: 1.296652, acc: 0.265625] 35698: [discriminator loss: 0.470359, acc: 0.765625] [adversarial loss: 1.211671, acc: 0.281250] 35699: [discriminator loss: 0.464456, acc: 0.789062] [adversarial loss: 1.632888, acc: 0.078125] 35700: [discriminator loss: 0.504713, acc: 0.687500] [adversarial loss: 0.831852, acc: 0.515625] 35701: [discriminator loss: 0.449463, acc: 0.757812] [adversarial loss: 1.627275, acc: 0.125000] 35702: [discriminator loss: 0.538713, acc: 0.718750] [adversarial loss: 1.147267, acc: 0.343750] 35703: [discriminator loss: 0.511363, acc: 0.765625] [adversarial loss: 1.399391, acc: 0.140625] 35704: [discriminator loss: 0.520454, acc: 0.726562] [adversarial loss: 0.862925, acc: 0.531250] 35705: [discriminator loss: 0.585649, acc: 0.695312] [adversarial loss: 1.301627, acc: 0.296875] 35706: [discriminator loss: 0.530629, acc: 0.726562] [adversarial loss: 0.996206, acc: 0.406250] 35707: [discriminator loss: 0.476822, acc: 0.773438] [adversarial loss: 1.301612, acc: 0.250000] 35708: [discriminator loss: 0.505038, acc: 0.718750] [adversarial loss: 1.040550, acc: 0.437500] 35709: [discriminator loss: 0.487615, acc: 0.742188] [adversarial loss: 1.377922, acc: 0.203125] 35710: [discriminator loss: 0.469230, acc: 0.789062] [adversarial loss: 1.153231, acc: 0.234375] 35711: [discriminator loss: 0.448485, acc: 0.781250] [adversarial loss: 0.987732, acc: 0.390625] 35712: [discriminator loss: 0.406202, acc: 0.789062] [adversarial loss: 1.192030, acc: 0.296875] 35713: [discriminator loss: 0.388279, acc: 0.820312] [adversarial loss: 1.061961, acc: 0.312500] 35714: [discriminator loss: 0.489606, acc: 0.750000] [adversarial loss: 1.485812, acc: 0.156250] 35715: [discriminator loss: 0.497635, acc: 0.726562] [adversarial loss: 0.959306, acc: 0.453125] 35716: [discriminator loss: 0.461586, acc: 0.789062] [adversarial loss: 1.609497, acc: 0.140625] 35717: [discriminator loss: 0.483871, acc: 0.765625] [adversarial loss: 0.805140, acc: 0.531250] 35718: [discriminator loss: 0.530075, acc: 0.718750] [adversarial loss: 1.314118, acc: 0.234375] 35719: [discriminator loss: 0.467008, acc: 0.734375] [adversarial loss: 1.110109, acc: 0.296875] 35720: [discriminator loss: 0.478563, acc: 0.781250] [adversarial loss: 1.408185, acc: 0.234375] 35721: [discriminator loss: 0.481352, acc: 0.773438] [adversarial loss: 1.010396, acc: 0.468750] 35722: [discriminator loss: 0.424144, acc: 0.820312] [adversarial loss: 1.086454, acc: 0.359375] 35723: [discriminator loss: 0.426832, acc: 0.812500] [adversarial loss: 0.869439, acc: 0.484375] 35724: [discriminator loss: 0.412815, acc: 0.828125] [adversarial loss: 1.238950, acc: 0.203125] 35725: [discriminator loss: 0.448511, acc: 0.812500] [adversarial loss: 0.771967, acc: 0.515625] 35726: [discriminator loss: 0.458979, acc: 0.781250] [adversarial loss: 1.453649, acc: 0.265625] 35727: [discriminator loss: 0.475782, acc: 0.757812] [adversarial loss: 0.731801, acc: 0.515625] 35728: [discriminator loss: 0.567093, acc: 0.703125] [adversarial loss: 1.644059, acc: 0.140625] 35729: [discriminator loss: 0.624051, acc: 0.671875] [adversarial loss: 0.753070, acc: 0.578125] 35730: [discriminator loss: 0.653794, acc: 0.632812] [adversarial loss: 1.621407, acc: 0.171875] 35731: [discriminator loss: 0.576896, acc: 0.679688] [adversarial loss: 1.152519, acc: 0.296875] 35732: [discriminator loss: 0.522935, acc: 0.742188] [adversarial loss: 1.393313, acc: 0.187500] 35733: [discriminator loss: 0.529564, acc: 0.750000] [adversarial loss: 1.380076, acc: 0.234375] 35734: [discriminator loss: 0.475486, acc: 0.750000] [adversarial loss: 1.900203, acc: 0.046875] 35735: [discriminator loss: 0.529963, acc: 0.750000] [adversarial loss: 1.139303, acc: 0.234375] 35736: [discriminator loss: 0.508117, acc: 0.734375] [adversarial loss: 1.177646, acc: 0.171875] 35737: [discriminator loss: 0.545983, acc: 0.656250] [adversarial loss: 1.439386, acc: 0.140625] 35738: [discriminator loss: 0.454410, acc: 0.796875] [adversarial loss: 0.975615, acc: 0.421875] 35739: [discriminator loss: 0.518786, acc: 0.765625] [adversarial loss: 1.453804, acc: 0.156250] 35740: [discriminator loss: 0.425661, acc: 0.789062] [adversarial loss: 1.282564, acc: 0.234375] 35741: [discriminator loss: 0.581104, acc: 0.695312] [adversarial loss: 1.315444, acc: 0.234375] 35742: [discriminator loss: 0.469392, acc: 0.781250] [adversarial loss: 1.290872, acc: 0.296875] 35743: [discriminator loss: 0.476897, acc: 0.742188] [adversarial loss: 1.398381, acc: 0.250000] 35744: [discriminator loss: 0.524824, acc: 0.726562] [adversarial loss: 1.142798, acc: 0.312500] 35745: [discriminator loss: 0.486142, acc: 0.804688] [adversarial loss: 1.304631, acc: 0.281250] 35746: [discriminator loss: 0.542793, acc: 0.710938] [adversarial loss: 1.201507, acc: 0.250000] 35747: [discriminator loss: 0.477566, acc: 0.750000] [adversarial loss: 1.275293, acc: 0.281250] 35748: [discriminator loss: 0.548297, acc: 0.718750] [adversarial loss: 1.802728, acc: 0.125000] 35749: [discriminator loss: 0.558620, acc: 0.703125] [adversarial loss: 1.026445, acc: 0.437500] 35750: [discriminator loss: 0.538943, acc: 0.710938] [adversarial loss: 1.829682, acc: 0.093750] 35751: [discriminator loss: 0.557527, acc: 0.703125] [adversarial loss: 0.935806, acc: 0.468750] 35752: [discriminator loss: 0.588829, acc: 0.703125] [adversarial loss: 1.681394, acc: 0.062500] 35753: [discriminator loss: 0.566554, acc: 0.687500] [adversarial loss: 0.867637, acc: 0.453125] 35754: [discriminator loss: 0.490515, acc: 0.734375] [adversarial loss: 1.317431, acc: 0.218750] 35755: [discriminator loss: 0.540362, acc: 0.687500] [adversarial loss: 1.085549, acc: 0.375000] 35756: [discriminator loss: 0.516970, acc: 0.703125] [adversarial loss: 1.580563, acc: 0.125000] 35757: [discriminator loss: 0.504941, acc: 0.750000] [adversarial loss: 0.860047, acc: 0.500000] 35758: [discriminator loss: 0.519226, acc: 0.710938] [adversarial loss: 1.173295, acc: 0.296875] 35759: [discriminator loss: 0.483560, acc: 0.750000] [adversarial loss: 1.326960, acc: 0.265625] 35760: [discriminator loss: 0.541209, acc: 0.718750] [adversarial loss: 1.253618, acc: 0.250000] 35761: [discriminator loss: 0.529051, acc: 0.687500] [adversarial loss: 1.509458, acc: 0.171875] 35762: [discriminator loss: 0.563235, acc: 0.710938] [adversarial loss: 1.148334, acc: 0.343750] 35763: [discriminator loss: 0.583134, acc: 0.718750] [adversarial loss: 1.738585, acc: 0.140625] 35764: [discriminator loss: 0.520345, acc: 0.765625] [adversarial loss: 0.930981, acc: 0.390625] 35765: [discriminator loss: 0.593471, acc: 0.695312] [adversarial loss: 1.446143, acc: 0.234375] 35766: [discriminator loss: 0.530969, acc: 0.718750] [adversarial loss: 0.807323, acc: 0.515625] 35767: [discriminator loss: 0.478728, acc: 0.726562] [adversarial loss: 1.193368, acc: 0.281250] 35768: [discriminator loss: 0.533227, acc: 0.687500] [adversarial loss: 1.132013, acc: 0.296875] 35769: [discriminator loss: 0.493019, acc: 0.718750] [adversarial loss: 1.605916, acc: 0.140625] 35770: [discriminator loss: 0.554730, acc: 0.671875] [adversarial loss: 1.029410, acc: 0.406250] 35771: [discriminator loss: 0.540828, acc: 0.718750] [adversarial loss: 1.466663, acc: 0.171875] 35772: [discriminator loss: 0.494229, acc: 0.734375] [adversarial loss: 1.200099, acc: 0.265625] 35773: [discriminator loss: 0.554736, acc: 0.687500] [adversarial loss: 0.950986, acc: 0.359375] 35774: [discriminator loss: 0.499137, acc: 0.765625] [adversarial loss: 1.480972, acc: 0.187500] 35775: [discriminator loss: 0.544460, acc: 0.695312] [adversarial loss: 1.005993, acc: 0.375000] 35776: [discriminator loss: 0.539135, acc: 0.687500] [adversarial loss: 2.135170, acc: 0.062500] 35777: [discriminator loss: 0.510065, acc: 0.726562] [adversarial loss: 0.930962, acc: 0.484375] 35778: [discriminator loss: 0.501512, acc: 0.765625] [adversarial loss: 1.550891, acc: 0.140625] 35779: [discriminator loss: 0.546995, acc: 0.710938] [adversarial loss: 0.964397, acc: 0.484375] 35780: [discriminator loss: 0.496253, acc: 0.734375] [adversarial loss: 1.498421, acc: 0.156250] 35781: [discriminator loss: 0.551076, acc: 0.750000] [adversarial loss: 1.183511, acc: 0.328125] 35782: [discriminator loss: 0.546414, acc: 0.718750] [adversarial loss: 1.838270, acc: 0.093750] 35783: [discriminator loss: 0.570697, acc: 0.687500] [adversarial loss: 1.145612, acc: 0.343750] 35784: [discriminator loss: 0.491396, acc: 0.781250] [adversarial loss: 1.400474, acc: 0.187500] 35785: [discriminator loss: 0.524264, acc: 0.718750] [adversarial loss: 1.076229, acc: 0.406250] 35786: [discriminator loss: 0.587613, acc: 0.726562] [adversarial loss: 1.394623, acc: 0.218750] 35787: [discriminator loss: 0.568821, acc: 0.703125] [adversarial loss: 1.200658, acc: 0.250000] 35788: [discriminator loss: 0.466616, acc: 0.773438] [adversarial loss: 1.568403, acc: 0.156250] 35789: [discriminator loss: 0.491445, acc: 0.804688] [adversarial loss: 1.463724, acc: 0.250000] 35790: [discriminator loss: 0.460700, acc: 0.820312] [adversarial loss: 1.196477, acc: 0.375000] 35791: [discriminator loss: 0.417303, acc: 0.804688] [adversarial loss: 1.428749, acc: 0.250000] 35792: [discriminator loss: 0.444323, acc: 0.804688] [adversarial loss: 1.225688, acc: 0.296875] 35793: [discriminator loss: 0.447034, acc: 0.781250] [adversarial loss: 0.967538, acc: 0.484375] 35794: [discriminator loss: 0.538141, acc: 0.757812] [adversarial loss: 1.563794, acc: 0.140625] 35795: [discriminator loss: 0.570902, acc: 0.703125] [adversarial loss: 1.063449, acc: 0.359375] 35796: [discriminator loss: 0.487629, acc: 0.781250] [adversarial loss: 1.708978, acc: 0.140625] 35797: [discriminator loss: 0.507221, acc: 0.781250] [adversarial loss: 0.912765, acc: 0.390625] 35798: [discriminator loss: 0.500485, acc: 0.710938] [adversarial loss: 1.445219, acc: 0.171875] 35799: [discriminator loss: 0.491324, acc: 0.750000] [adversarial loss: 1.125451, acc: 0.343750] 35800: [discriminator loss: 0.570398, acc: 0.750000] [adversarial loss: 1.711003, acc: 0.125000] 35801: [discriminator loss: 0.570865, acc: 0.687500] [adversarial loss: 1.014715, acc: 0.390625] 35802: [discriminator loss: 0.455785, acc: 0.789062] [adversarial loss: 1.180663, acc: 0.312500] 35803: [discriminator loss: 0.481375, acc: 0.734375] [adversarial loss: 1.611562, acc: 0.218750] 35804: [discriminator loss: 0.448292, acc: 0.789062] [adversarial loss: 1.067461, acc: 0.390625] 35805: [discriminator loss: 0.480950, acc: 0.734375] [adversarial loss: 1.443666, acc: 0.250000] 35806: [discriminator loss: 0.476620, acc: 0.773438] [adversarial loss: 1.012093, acc: 0.359375] 35807: [discriminator loss: 0.535203, acc: 0.687500] [adversarial loss: 1.464988, acc: 0.140625] 35808: [discriminator loss: 0.469877, acc: 0.773438] [adversarial loss: 0.872915, acc: 0.468750] 35809: [discriminator loss: 0.475350, acc: 0.757812] [adversarial loss: 1.257206, acc: 0.250000] 35810: [discriminator loss: 0.474124, acc: 0.773438] [adversarial loss: 0.900614, acc: 0.500000] 35811: [discriminator loss: 0.551574, acc: 0.710938] [adversarial loss: 1.320165, acc: 0.296875] 35812: [discriminator loss: 0.498213, acc: 0.750000] [adversarial loss: 1.245205, acc: 0.265625] 35813: [discriminator loss: 0.475165, acc: 0.750000] [adversarial loss: 1.288472, acc: 0.265625] 35814: [discriminator loss: 0.489634, acc: 0.726562] [adversarial loss: 1.486396, acc: 0.156250] 35815: [discriminator loss: 0.498378, acc: 0.726562] [adversarial loss: 1.676360, acc: 0.156250] 35816: [discriminator loss: 0.576062, acc: 0.710938] [adversarial loss: 0.933282, acc: 0.437500] 35817: [discriminator loss: 0.563353, acc: 0.687500] [adversarial loss: 1.767033, acc: 0.109375] 35818: [discriminator loss: 0.500496, acc: 0.750000] [adversarial loss: 0.935533, acc: 0.421875] 35819: [discriminator loss: 0.559234, acc: 0.703125] [adversarial loss: 1.719102, acc: 0.093750] 35820: [discriminator loss: 0.511478, acc: 0.734375] [adversarial loss: 0.822084, acc: 0.562500] 35821: [discriminator loss: 0.468832, acc: 0.757812] [adversarial loss: 1.542470, acc: 0.109375] 35822: [discriminator loss: 0.530108, acc: 0.679688] [adversarial loss: 1.082952, acc: 0.328125] 35823: [discriminator loss: 0.522578, acc: 0.757812] [adversarial loss: 1.852560, acc: 0.093750] 35824: [discriminator loss: 0.489260, acc: 0.750000] [adversarial loss: 0.968040, acc: 0.390625] 35825: [discriminator loss: 0.595724, acc: 0.718750] [adversarial loss: 1.623424, acc: 0.140625] 35826: [discriminator loss: 0.547411, acc: 0.726562] [adversarial loss: 1.163359, acc: 0.328125] 35827: [discriminator loss: 0.510505, acc: 0.718750] [adversarial loss: 1.333027, acc: 0.218750] 35828: [discriminator loss: 0.559812, acc: 0.757812] [adversarial loss: 0.969969, acc: 0.343750] 35829: [discriminator loss: 0.503865, acc: 0.757812] [adversarial loss: 1.512399, acc: 0.187500] 35830: [discriminator loss: 0.467829, acc: 0.750000] [adversarial loss: 1.186913, acc: 0.250000] 35831: [discriminator loss: 0.536587, acc: 0.679688] [adversarial loss: 1.578936, acc: 0.125000] 35832: [discriminator loss: 0.513534, acc: 0.718750] [adversarial loss: 1.206722, acc: 0.203125] 35833: [discriminator loss: 0.480538, acc: 0.804688] [adversarial loss: 1.227150, acc: 0.328125] 35834: [discriminator loss: 0.459521, acc: 0.773438] [adversarial loss: 1.455537, acc: 0.156250] 35835: [discriminator loss: 0.535105, acc: 0.718750] [adversarial loss: 0.960735, acc: 0.390625] 35836: [discriminator loss: 0.555412, acc: 0.687500] [adversarial loss: 1.698681, acc: 0.046875] 35837: [discriminator loss: 0.526401, acc: 0.742188] [adversarial loss: 1.030211, acc: 0.375000] 35838: [discriminator loss: 0.516587, acc: 0.718750] [adversarial loss: 1.768223, acc: 0.156250] 35839: [discriminator loss: 0.640249, acc: 0.687500] [adversarial loss: 1.084636, acc: 0.421875] 35840: [discriminator loss: 0.465164, acc: 0.757812] [adversarial loss: 1.580266, acc: 0.171875] 35841: [discriminator loss: 0.472346, acc: 0.789062] [adversarial loss: 0.798596, acc: 0.500000] 35842: [discriminator loss: 0.497171, acc: 0.757812] [adversarial loss: 1.323710, acc: 0.250000] 35843: [discriminator loss: 0.481580, acc: 0.750000] [adversarial loss: 1.077403, acc: 0.406250] 35844: [discriminator loss: 0.545150, acc: 0.695312] [adversarial loss: 1.683633, acc: 0.093750] 35845: [discriminator loss: 0.484956, acc: 0.718750] [adversarial loss: 1.279327, acc: 0.312500] 35846: [discriminator loss: 0.489020, acc: 0.734375] [adversarial loss: 1.334781, acc: 0.187500] 35847: [discriminator loss: 0.470802, acc: 0.765625] [adversarial loss: 1.179453, acc: 0.250000] 35848: [discriminator loss: 0.485232, acc: 0.750000] [adversarial loss: 1.032537, acc: 0.406250] 35849: [discriminator loss: 0.387106, acc: 0.843750] [adversarial loss: 1.291014, acc: 0.265625] 35850: [discriminator loss: 0.560951, acc: 0.679688] [adversarial loss: 0.893027, acc: 0.468750] 35851: [discriminator loss: 0.478976, acc: 0.765625] [adversarial loss: 0.988442, acc: 0.406250] 35852: [discriminator loss: 0.474438, acc: 0.773438] [adversarial loss: 0.761734, acc: 0.656250] 35853: [discriminator loss: 0.500730, acc: 0.765625] [adversarial loss: 0.928982, acc: 0.390625] 35854: [discriminator loss: 0.452592, acc: 0.820312] [adversarial loss: 0.900763, acc: 0.421875] 35855: [discriminator loss: 0.482704, acc: 0.750000] [adversarial loss: 0.702464, acc: 0.531250] 35856: [discriminator loss: 0.462558, acc: 0.835938] [adversarial loss: 1.319408, acc: 0.203125] 35857: [discriminator loss: 0.512433, acc: 0.726562] [adversarial loss: 0.721225, acc: 0.625000] 35858: [discriminator loss: 0.493433, acc: 0.750000] [adversarial loss: 1.810844, acc: 0.140625] 35859: [discriminator loss: 0.555364, acc: 0.710938] [adversarial loss: 0.747634, acc: 0.593750] 35860: [discriminator loss: 0.595015, acc: 0.679688] [adversarial loss: 2.018364, acc: 0.062500] 35861: [discriminator loss: 0.618141, acc: 0.671875] [adversarial loss: 1.067063, acc: 0.343750] 35862: [discriminator loss: 0.521619, acc: 0.757812] [adversarial loss: 1.480369, acc: 0.140625] 35863: [discriminator loss: 0.517152, acc: 0.703125] [adversarial loss: 0.907618, acc: 0.390625] 35864: [discriminator loss: 0.447337, acc: 0.796875] [adversarial loss: 1.249130, acc: 0.187500] 35865: [discriminator loss: 0.527323, acc: 0.710938] [adversarial loss: 1.052195, acc: 0.390625] 35866: [discriminator loss: 0.477401, acc: 0.742188] [adversarial loss: 1.180572, acc: 0.328125] 35867: [discriminator loss: 0.503789, acc: 0.718750] [adversarial loss: 1.338628, acc: 0.187500] 35868: [discriminator loss: 0.461902, acc: 0.773438] [adversarial loss: 0.965917, acc: 0.390625] 35869: [discriminator loss: 0.481347, acc: 0.765625] [adversarial loss: 1.330479, acc: 0.218750] 35870: [discriminator loss: 0.501879, acc: 0.710938] [adversarial loss: 1.210751, acc: 0.328125] 35871: [discriminator loss: 0.473558, acc: 0.750000] [adversarial loss: 1.437500, acc: 0.218750] 35872: [discriminator loss: 0.456989, acc: 0.773438] [adversarial loss: 1.252312, acc: 0.281250] 35873: [discriminator loss: 0.454201, acc: 0.773438] [adversarial loss: 1.462184, acc: 0.171875] 35874: [discriminator loss: 0.491641, acc: 0.765625] [adversarial loss: 1.491125, acc: 0.203125] 35875: [discriminator loss: 0.462795, acc: 0.757812] [adversarial loss: 2.120120, acc: 0.078125] 35876: [discriminator loss: 0.483972, acc: 0.742188] [adversarial loss: 1.141156, acc: 0.234375] 35877: [discriminator loss: 0.517446, acc: 0.742188] [adversarial loss: 2.264520, acc: 0.031250] 35878: [discriminator loss: 0.452344, acc: 0.804688] [adversarial loss: 1.462246, acc: 0.171875] 35879: [discriminator loss: 0.524855, acc: 0.726562] [adversarial loss: 1.823339, acc: 0.156250] 35880: [discriminator loss: 0.454952, acc: 0.789062] [adversarial loss: 1.297173, acc: 0.296875] 35881: [discriminator loss: 0.438100, acc: 0.796875] [adversarial loss: 1.395342, acc: 0.296875] 35882: [discriminator loss: 0.531462, acc: 0.726562] [adversarial loss: 0.936728, acc: 0.406250] 35883: [discriminator loss: 0.438720, acc: 0.757812] [adversarial loss: 1.524979, acc: 0.265625] 35884: [discriminator loss: 0.354376, acc: 0.820312] [adversarial loss: 0.987323, acc: 0.406250] 35885: [discriminator loss: 0.475496, acc: 0.757812] [adversarial loss: 1.483875, acc: 0.140625] 35886: [discriminator loss: 0.423285, acc: 0.773438] [adversarial loss: 0.973187, acc: 0.406250] 35887: [discriminator loss: 0.556438, acc: 0.710938] [adversarial loss: 1.356485, acc: 0.171875] 35888: [discriminator loss: 0.522626, acc: 0.765625] [adversarial loss: 0.792822, acc: 0.515625] 35889: [discriminator loss: 0.475098, acc: 0.781250] [adversarial loss: 1.302881, acc: 0.250000] 35890: [discriminator loss: 0.493076, acc: 0.765625] [adversarial loss: 1.457261, acc: 0.187500] 35891: [discriminator loss: 0.500870, acc: 0.750000] [adversarial loss: 0.784202, acc: 0.562500] 35892: [discriminator loss: 0.524377, acc: 0.734375] [adversarial loss: 1.343015, acc: 0.250000] 35893: [discriminator loss: 0.442311, acc: 0.789062] [adversarial loss: 0.943741, acc: 0.531250] 35894: [discriminator loss: 0.455708, acc: 0.757812] [adversarial loss: 1.569771, acc: 0.093750] 35895: [discriminator loss: 0.472460, acc: 0.757812] [adversarial loss: 0.736039, acc: 0.546875] 35896: [discriminator loss: 0.510192, acc: 0.718750] [adversarial loss: 1.545917, acc: 0.140625] 35897: [discriminator loss: 0.583179, acc: 0.710938] [adversarial loss: 0.873172, acc: 0.437500] 35898: [discriminator loss: 0.562746, acc: 0.710938] [adversarial loss: 1.455960, acc: 0.156250] 35899: [discriminator loss: 0.571998, acc: 0.687500] [adversarial loss: 0.759780, acc: 0.531250] 35900: [discriminator loss: 0.527096, acc: 0.710938] [adversarial loss: 1.379047, acc: 0.171875] 35901: [discriminator loss: 0.511246, acc: 0.726562] [adversarial loss: 0.890820, acc: 0.484375] 35902: [discriminator loss: 0.515918, acc: 0.757812] [adversarial loss: 1.049300, acc: 0.406250] 35903: [discriminator loss: 0.502650, acc: 0.726562] [adversarial loss: 0.912734, acc: 0.437500] 35904: [discriminator loss: 0.415253, acc: 0.812500] [adversarial loss: 1.046221, acc: 0.406250] 35905: [discriminator loss: 0.458307, acc: 0.765625] [adversarial loss: 1.075435, acc: 0.375000] 35906: [discriminator loss: 0.442343, acc: 0.765625] [adversarial loss: 0.799119, acc: 0.531250] 35907: [discriminator loss: 0.502749, acc: 0.750000] [adversarial loss: 1.566674, acc: 0.156250] 35908: [discriminator loss: 0.560713, acc: 0.664062] [adversarial loss: 1.006519, acc: 0.406250] 35909: [discriminator loss: 0.589036, acc: 0.656250] [adversarial loss: 1.346665, acc: 0.250000] 35910: [discriminator loss: 0.530747, acc: 0.695312] [adversarial loss: 0.993865, acc: 0.296875] 35911: [discriminator loss: 0.533239, acc: 0.718750] [adversarial loss: 1.605415, acc: 0.156250] 35912: [discriminator loss: 0.545182, acc: 0.710938] [adversarial loss: 1.054192, acc: 0.296875] 35913: [discriminator loss: 0.561403, acc: 0.703125] [adversarial loss: 1.513098, acc: 0.125000] 35914: [discriminator loss: 0.513270, acc: 0.734375] [adversarial loss: 1.321959, acc: 0.187500] 35915: [discriminator loss: 0.500107, acc: 0.742188] [adversarial loss: 1.233978, acc: 0.375000] 35916: [discriminator loss: 0.483302, acc: 0.765625] [adversarial loss: 1.069651, acc: 0.437500] 35917: [discriminator loss: 0.520088, acc: 0.757812] [adversarial loss: 1.548328, acc: 0.218750] 35918: [discriminator loss: 0.483189, acc: 0.734375] [adversarial loss: 1.011287, acc: 0.406250] 35919: [discriminator loss: 0.490514, acc: 0.734375] [adversarial loss: 0.988061, acc: 0.421875] 35920: [discriminator loss: 0.480928, acc: 0.718750] [adversarial loss: 1.566881, acc: 0.093750] 35921: [discriminator loss: 0.558223, acc: 0.671875] [adversarial loss: 0.771365, acc: 0.562500] 35922: [discriminator loss: 0.545123, acc: 0.710938] [adversarial loss: 1.778095, acc: 0.125000] 35923: [discriminator loss: 0.602280, acc: 0.710938] [adversarial loss: 0.865080, acc: 0.500000] 35924: [discriminator loss: 0.529670, acc: 0.750000] [adversarial loss: 1.620811, acc: 0.187500] 35925: [discriminator loss: 0.556063, acc: 0.710938] [adversarial loss: 1.190743, acc: 0.281250] 35926: [discriminator loss: 0.500486, acc: 0.773438] [adversarial loss: 1.340239, acc: 0.218750] 35927: [discriminator loss: 0.529568, acc: 0.726562] [adversarial loss: 1.460802, acc: 0.171875] 35928: [discriminator loss: 0.509843, acc: 0.710938] [adversarial loss: 1.538757, acc: 0.156250] 35929: [discriminator loss: 0.590472, acc: 0.671875] [adversarial loss: 0.900489, acc: 0.515625] 35930: [discriminator loss: 0.529383, acc: 0.703125] [adversarial loss: 1.679860, acc: 0.093750] 35931: [discriminator loss: 0.523170, acc: 0.710938] [adversarial loss: 0.887239, acc: 0.421875] 35932: [discriminator loss: 0.562702, acc: 0.679688] [adversarial loss: 1.503541, acc: 0.125000] 35933: [discriminator loss: 0.492187, acc: 0.804688] [adversarial loss: 1.244423, acc: 0.312500] 35934: [discriminator loss: 0.512066, acc: 0.726562] [adversarial loss: 1.101113, acc: 0.328125] 35935: [discriminator loss: 0.495206, acc: 0.742188] [adversarial loss: 1.500841, acc: 0.171875] 35936: [discriminator loss: 0.481131, acc: 0.765625] [adversarial loss: 1.101022, acc: 0.359375] 35937: [discriminator loss: 0.528230, acc: 0.726562] [adversarial loss: 1.310061, acc: 0.218750] 35938: [discriminator loss: 0.472890, acc: 0.796875] [adversarial loss: 1.182168, acc: 0.281250] 35939: [discriminator loss: 0.458253, acc: 0.789062] [adversarial loss: 1.154307, acc: 0.312500] 35940: [discriminator loss: 0.444243, acc: 0.765625] [adversarial loss: 1.313986, acc: 0.234375] 35941: [discriminator loss: 0.495640, acc: 0.726562] [adversarial loss: 0.942028, acc: 0.468750] 35942: [discriminator loss: 0.468939, acc: 0.781250] [adversarial loss: 1.530615, acc: 0.093750] 35943: [discriminator loss: 0.491798, acc: 0.781250] [adversarial loss: 1.133314, acc: 0.328125] 35944: [discriminator loss: 0.494449, acc: 0.757812] [adversarial loss: 1.139502, acc: 0.312500] 35945: [discriminator loss: 0.502684, acc: 0.742188] [adversarial loss: 1.300785, acc: 0.093750] 35946: [discriminator loss: 0.516700, acc: 0.718750] [adversarial loss: 0.937974, acc: 0.453125] 35947: [discriminator loss: 0.560657, acc: 0.726562] [adversarial loss: 1.311427, acc: 0.187500] 35948: [discriminator loss: 0.517340, acc: 0.765625] [adversarial loss: 0.789609, acc: 0.500000] 35949: [discriminator loss: 0.513448, acc: 0.734375] [adversarial loss: 1.675174, acc: 0.171875] 35950: [discriminator loss: 0.509874, acc: 0.718750] [adversarial loss: 0.839626, acc: 0.546875] 35951: [discriminator loss: 0.520320, acc: 0.726562] [adversarial loss: 1.372790, acc: 0.234375] 35952: [discriminator loss: 0.419837, acc: 0.820312] [adversarial loss: 1.087546, acc: 0.359375] 35953: [discriminator loss: 0.454182, acc: 0.781250] [adversarial loss: 0.948459, acc: 0.453125] 35954: [discriminator loss: 0.409960, acc: 0.828125] [adversarial loss: 1.185957, acc: 0.343750] 35955: [discriminator loss: 0.456144, acc: 0.804688] [adversarial loss: 0.931232, acc: 0.453125] 35956: [discriminator loss: 0.535632, acc: 0.742188] [adversarial loss: 1.107562, acc: 0.359375] 35957: [discriminator loss: 0.488206, acc: 0.773438] [adversarial loss: 0.994756, acc: 0.421875] 35958: [discriminator loss: 0.425764, acc: 0.796875] [adversarial loss: 1.251186, acc: 0.156250] 35959: [discriminator loss: 0.504431, acc: 0.742188] [adversarial loss: 1.210514, acc: 0.296875] 35960: [discriminator loss: 0.441099, acc: 0.757812] [adversarial loss: 1.312296, acc: 0.218750] 35961: [discriminator loss: 0.500594, acc: 0.750000] [adversarial loss: 1.494087, acc: 0.203125] 35962: [discriminator loss: 0.580596, acc: 0.695312] [adversarial loss: 0.812005, acc: 0.468750] 35963: [discriminator loss: 0.448194, acc: 0.804688] [adversarial loss: 1.427741, acc: 0.281250] 35964: [discriminator loss: 0.545975, acc: 0.710938] [adversarial loss: 1.619769, acc: 0.125000] 35965: [discriminator loss: 0.475699, acc: 0.765625] [adversarial loss: 0.898134, acc: 0.468750] 35966: [discriminator loss: 0.413383, acc: 0.812500] [adversarial loss: 1.515667, acc: 0.171875] 35967: [discriminator loss: 0.490305, acc: 0.742188] [adversarial loss: 1.114147, acc: 0.296875] 35968: [discriminator loss: 0.422629, acc: 0.812500] [adversarial loss: 2.006617, acc: 0.093750] 35969: [discriminator loss: 0.613021, acc: 0.656250] [adversarial loss: 0.887414, acc: 0.500000] 35970: [discriminator loss: 0.555426, acc: 0.781250] [adversarial loss: 1.815668, acc: 0.109375] 35971: [discriminator loss: 0.551841, acc: 0.664062] [adversarial loss: 0.805344, acc: 0.562500] 35972: [discriminator loss: 0.472476, acc: 0.804688] [adversarial loss: 1.793883, acc: 0.125000] 35973: [discriminator loss: 0.524309, acc: 0.718750] [adversarial loss: 1.430621, acc: 0.171875] 35974: [discriminator loss: 0.446008, acc: 0.804688] [adversarial loss: 1.611545, acc: 0.156250] 35975: [discriminator loss: 0.504691, acc: 0.718750] [adversarial loss: 1.041707, acc: 0.406250] 35976: [discriminator loss: 0.508628, acc: 0.695312] [adversarial loss: 1.450270, acc: 0.109375] 35977: [discriminator loss: 0.543097, acc: 0.765625] [adversarial loss: 1.456476, acc: 0.250000] 35978: [discriminator loss: 0.499578, acc: 0.757812] [adversarial loss: 1.589527, acc: 0.171875] 35979: [discriminator loss: 0.560236, acc: 0.679688] [adversarial loss: 1.150507, acc: 0.359375] 35980: [discriminator loss: 0.538741, acc: 0.773438] [adversarial loss: 1.728194, acc: 0.156250] 35981: [discriminator loss: 0.566424, acc: 0.718750] [adversarial loss: 1.056539, acc: 0.296875] 35982: [discriminator loss: 0.550708, acc: 0.750000] [adversarial loss: 1.712063, acc: 0.093750] 35983: [discriminator loss: 0.565073, acc: 0.687500] [adversarial loss: 0.937628, acc: 0.453125] 35984: [discriminator loss: 0.509520, acc: 0.726562] [adversarial loss: 1.249394, acc: 0.203125] 35985: [discriminator loss: 0.457550, acc: 0.804688] [adversarial loss: 1.017748, acc: 0.375000] 35986: [discriminator loss: 0.565593, acc: 0.710938] [adversarial loss: 1.170823, acc: 0.343750] 35987: [discriminator loss: 0.509266, acc: 0.773438] [adversarial loss: 1.485618, acc: 0.171875] 35988: [discriminator loss: 0.519976, acc: 0.734375] [adversarial loss: 1.167221, acc: 0.312500] 35989: [discriminator loss: 0.483456, acc: 0.742188] [adversarial loss: 1.426526, acc: 0.156250] 35990: [discriminator loss: 0.509224, acc: 0.742188] [adversarial loss: 1.010140, acc: 0.421875] 35991: [discriminator loss: 0.552510, acc: 0.710938] [adversarial loss: 1.297586, acc: 0.250000] 35992: [discriminator loss: 0.467492, acc: 0.812500] [adversarial loss: 1.113356, acc: 0.250000] 35993: [discriminator loss: 0.471206, acc: 0.820312] [adversarial loss: 1.256852, acc: 0.375000] 35994: [discriminator loss: 0.546637, acc: 0.710938] [adversarial loss: 1.093170, acc: 0.312500] 35995: [discriminator loss: 0.511196, acc: 0.718750] [adversarial loss: 1.121937, acc: 0.312500] 35996: [discriminator loss: 0.604880, acc: 0.710938] [adversarial loss: 0.850182, acc: 0.531250] 35997: [discriminator loss: 0.514053, acc: 0.734375] [adversarial loss: 1.360765, acc: 0.218750] 35998: [discriminator loss: 0.457451, acc: 0.804688] [adversarial loss: 1.126623, acc: 0.265625] 35999: [discriminator loss: 0.440200, acc: 0.765625] [adversarial loss: 1.541151, acc: 0.171875] 36000: [discriminator loss: 0.543035, acc: 0.757812] [adversarial loss: 0.807121, acc: 0.531250] 36001: [discriminator loss: 0.549536, acc: 0.664062] [adversarial loss: 1.972939, acc: 0.046875] 36002: [discriminator loss: 0.512671, acc: 0.757812] [adversarial loss: 0.971305, acc: 0.359375] 36003: [discriminator loss: 0.626938, acc: 0.687500] [adversarial loss: 1.474971, acc: 0.140625] 36004: [discriminator loss: 0.604283, acc: 0.664062] [adversarial loss: 0.872543, acc: 0.453125] 36005: [discriminator loss: 0.499605, acc: 0.726562] [adversarial loss: 1.470226, acc: 0.125000] 36006: [discriminator loss: 0.515961, acc: 0.750000] [adversarial loss: 1.106121, acc: 0.390625] 36007: [discriminator loss: 0.530714, acc: 0.750000] [adversarial loss: 1.435909, acc: 0.140625] 36008: [discriminator loss: 0.516539, acc: 0.742188] [adversarial loss: 1.153664, acc: 0.328125] 36009: [discriminator loss: 0.472364, acc: 0.789062] [adversarial loss: 1.619433, acc: 0.125000] 36010: [discriminator loss: 0.560655, acc: 0.718750] [adversarial loss: 1.059330, acc: 0.437500] 36011: [discriminator loss: 0.531333, acc: 0.757812] [adversarial loss: 1.458266, acc: 0.171875] 36012: [discriminator loss: 0.497560, acc: 0.773438] [adversarial loss: 1.028841, acc: 0.359375] 36013: [discriminator loss: 0.541787, acc: 0.726562] [adversarial loss: 1.152836, acc: 0.359375] 36014: [discriminator loss: 0.531960, acc: 0.710938] [adversarial loss: 1.416471, acc: 0.234375] 36015: [discriminator loss: 0.520892, acc: 0.726562] [adversarial loss: 1.273335, acc: 0.328125] 36016: [discriminator loss: 0.524395, acc: 0.742188] [adversarial loss: 1.262832, acc: 0.171875] 36017: [discriminator loss: 0.475792, acc: 0.757812] [adversarial loss: 1.216209, acc: 0.250000] 36018: [discriminator loss: 0.466746, acc: 0.789062] [adversarial loss: 1.464076, acc: 0.187500] 36019: [discriminator loss: 0.486313, acc: 0.773438] [adversarial loss: 1.417722, acc: 0.250000] 36020: [discriminator loss: 0.504992, acc: 0.726562] [adversarial loss: 1.215461, acc: 0.265625] 36021: [discriminator loss: 0.475923, acc: 0.789062] [adversarial loss: 1.211631, acc: 0.265625] 36022: [discriminator loss: 0.552358, acc: 0.664062] [adversarial loss: 1.453141, acc: 0.187500] 36023: [discriminator loss: 0.503007, acc: 0.757812] [adversarial loss: 1.051477, acc: 0.375000] 36024: [discriminator loss: 0.526682, acc: 0.695312] [adversarial loss: 1.309631, acc: 0.218750] 36025: [discriminator loss: 0.617545, acc: 0.640625] [adversarial loss: 0.916293, acc: 0.437500] 36026: [discriminator loss: 0.565521, acc: 0.742188] [adversarial loss: 1.781374, acc: 0.093750] 36027: [discriminator loss: 0.591414, acc: 0.664062] [adversarial loss: 0.776502, acc: 0.625000] 36028: [discriminator loss: 0.554784, acc: 0.726562] [adversarial loss: 1.631695, acc: 0.125000] 36029: [discriminator loss: 0.553097, acc: 0.656250] [adversarial loss: 1.058956, acc: 0.359375] 36030: [discriminator loss: 0.507613, acc: 0.703125] [adversarial loss: 1.473656, acc: 0.140625] 36031: [discriminator loss: 0.605902, acc: 0.679688] [adversarial loss: 0.921065, acc: 0.421875] 36032: [discriminator loss: 0.490408, acc: 0.812500] [adversarial loss: 1.346782, acc: 0.218750] 36033: [discriminator loss: 0.556596, acc: 0.703125] [adversarial loss: 0.927192, acc: 0.484375] 36034: [discriminator loss: 0.529899, acc: 0.742188] [adversarial loss: 1.805489, acc: 0.046875] 36035: [discriminator loss: 0.488668, acc: 0.734375] [adversarial loss: 1.028935, acc: 0.390625] 36036: [discriminator loss: 0.497960, acc: 0.757812] [adversarial loss: 1.330158, acc: 0.296875] 36037: [discriminator loss: 0.484686, acc: 0.726562] [adversarial loss: 0.969072, acc: 0.453125] 36038: [discriminator loss: 0.552314, acc: 0.710938] [adversarial loss: 1.670398, acc: 0.109375] 36039: [discriminator loss: 0.511876, acc: 0.734375] [adversarial loss: 1.122150, acc: 0.359375] 36040: [discriminator loss: 0.511557, acc: 0.710938] [adversarial loss: 1.280634, acc: 0.218750] 36041: [discriminator loss: 0.451713, acc: 0.796875] [adversarial loss: 0.982207, acc: 0.453125] 36042: [discriminator loss: 0.464924, acc: 0.773438] [adversarial loss: 1.230247, acc: 0.343750] 36043: [discriminator loss: 0.515729, acc: 0.757812] [adversarial loss: 1.324897, acc: 0.218750] 36044: [discriminator loss: 0.460743, acc: 0.757812] [adversarial loss: 1.020833, acc: 0.359375] 36045: [discriminator loss: 0.591287, acc: 0.656250] [adversarial loss: 1.531281, acc: 0.156250] 36046: [discriminator loss: 0.616040, acc: 0.687500] [adversarial loss: 1.134904, acc: 0.281250] 36047: [discriminator loss: 0.496921, acc: 0.718750] [adversarial loss: 0.976444, acc: 0.421875] 36048: [discriminator loss: 0.532952, acc: 0.757812] [adversarial loss: 1.141735, acc: 0.296875] 36049: [discriminator loss: 0.493591, acc: 0.742188] [adversarial loss: 1.088007, acc: 0.281250] 36050: [discriminator loss: 0.389377, acc: 0.812500] [adversarial loss: 1.261574, acc: 0.265625] 36051: [discriminator loss: 0.472655, acc: 0.796875] [adversarial loss: 1.262696, acc: 0.312500] 36052: [discriminator loss: 0.484735, acc: 0.757812] [adversarial loss: 1.331601, acc: 0.234375] 36053: [discriminator loss: 0.490431, acc: 0.734375] [adversarial loss: 1.372565, acc: 0.218750] 36054: [discriminator loss: 0.575171, acc: 0.710938] [adversarial loss: 1.051327, acc: 0.265625] 36055: [discriminator loss: 0.546920, acc: 0.718750] [adversarial loss: 1.657893, acc: 0.140625] 36056: [discriminator loss: 0.472409, acc: 0.804688] [adversarial loss: 1.309987, acc: 0.281250] 36057: [discriminator loss: 0.578854, acc: 0.687500] [adversarial loss: 1.066684, acc: 0.343750] 36058: [discriminator loss: 0.507870, acc: 0.765625] [adversarial loss: 1.459551, acc: 0.156250] 36059: [discriminator loss: 0.586763, acc: 0.679688] [adversarial loss: 1.475092, acc: 0.187500] 36060: [discriminator loss: 0.483720, acc: 0.757812] [adversarial loss: 1.243261, acc: 0.281250] 36061: [discriminator loss: 0.561842, acc: 0.671875] [adversarial loss: 1.378519, acc: 0.218750] 36062: [discriminator loss: 0.468371, acc: 0.750000] [adversarial loss: 0.970755, acc: 0.421875] 36063: [discriminator loss: 0.524542, acc: 0.750000] [adversarial loss: 1.823570, acc: 0.078125] 36064: [discriminator loss: 0.522437, acc: 0.750000] [adversarial loss: 0.858435, acc: 0.484375] 36065: [discriminator loss: 0.583931, acc: 0.632812] [adversarial loss: 1.707428, acc: 0.109375] 36066: [discriminator loss: 0.520826, acc: 0.742188] [adversarial loss: 1.180989, acc: 0.328125] 36067: [discriminator loss: 0.530223, acc: 0.781250] [adversarial loss: 1.546746, acc: 0.171875] 36068: [discriminator loss: 0.537398, acc: 0.734375] [adversarial loss: 1.041170, acc: 0.343750] 36069: [discriminator loss: 0.637194, acc: 0.648438] [adversarial loss: 1.773256, acc: 0.078125] 36070: [discriminator loss: 0.598190, acc: 0.679688] [adversarial loss: 0.755305, acc: 0.546875] 36071: [discriminator loss: 0.540613, acc: 0.718750] [adversarial loss: 1.432777, acc: 0.203125] 36072: [discriminator loss: 0.411282, acc: 0.835938] [adversarial loss: 1.451981, acc: 0.156250] 36073: [discriminator loss: 0.511971, acc: 0.726562] [adversarial loss: 1.189403, acc: 0.296875] 36074: [discriminator loss: 0.532115, acc: 0.742188] [adversarial loss: 1.364199, acc: 0.234375] 36075: [discriminator loss: 0.557629, acc: 0.710938] [adversarial loss: 1.306461, acc: 0.234375] 36076: [discriminator loss: 0.520456, acc: 0.742188] [adversarial loss: 1.463521, acc: 0.125000] 36077: [discriminator loss: 0.514919, acc: 0.773438] [adversarial loss: 1.109264, acc: 0.343750] 36078: [discriminator loss: 0.531662, acc: 0.734375] [adversarial loss: 1.379203, acc: 0.234375] 36079: [discriminator loss: 0.514875, acc: 0.710938] [adversarial loss: 1.008968, acc: 0.390625] 36080: [discriminator loss: 0.513815, acc: 0.742188] [adversarial loss: 1.508881, acc: 0.156250] 36081: [discriminator loss: 0.586385, acc: 0.687500] [adversarial loss: 1.007482, acc: 0.343750] 36082: [discriminator loss: 0.395139, acc: 0.851562] [adversarial loss: 1.033833, acc: 0.390625] 36083: [discriminator loss: 0.499502, acc: 0.695312] [adversarial loss: 1.477741, acc: 0.125000] 36084: [discriminator loss: 0.462388, acc: 0.781250] [adversarial loss: 1.144532, acc: 0.328125] 36085: [discriminator loss: 0.479819, acc: 0.773438] [adversarial loss: 1.784039, acc: 0.187500] 36086: [discriminator loss: 0.466123, acc: 0.796875] [adversarial loss: 1.323275, acc: 0.250000] 36087: [discriminator loss: 0.521048, acc: 0.742188] [adversarial loss: 1.419276, acc: 0.187500] 36088: [discriminator loss: 0.489658, acc: 0.734375] [adversarial loss: 1.241922, acc: 0.234375] 36089: [discriminator loss: 0.628800, acc: 0.687500] [adversarial loss: 1.265988, acc: 0.296875] 36090: [discriminator loss: 0.470393, acc: 0.773438] [adversarial loss: 1.154837, acc: 0.343750] 36091: [discriminator loss: 0.511927, acc: 0.742188] [adversarial loss: 1.483888, acc: 0.140625] 36092: [discriminator loss: 0.431727, acc: 0.828125] [adversarial loss: 1.131939, acc: 0.281250] 36093: [discriminator loss: 0.541150, acc: 0.757812] [adversarial loss: 1.695446, acc: 0.156250] 36094: [discriminator loss: 0.651838, acc: 0.656250] [adversarial loss: 1.095967, acc: 0.406250] 36095: [discriminator loss: 0.569427, acc: 0.710938] [adversarial loss: 1.811430, acc: 0.031250] 36096: [discriminator loss: 0.479059, acc: 0.765625] [adversarial loss: 1.060944, acc: 0.390625] 36097: [discriminator loss: 0.497216, acc: 0.765625] [adversarial loss: 1.732495, acc: 0.093750] 36098: [discriminator loss: 0.609811, acc: 0.679688] [adversarial loss: 0.881648, acc: 0.484375] 36099: [discriminator loss: 0.577041, acc: 0.718750] [adversarial loss: 1.654109, acc: 0.109375] 36100: [discriminator loss: 0.523014, acc: 0.742188] [adversarial loss: 1.038894, acc: 0.375000] 36101: [discriminator loss: 0.502878, acc: 0.742188] [adversarial loss: 1.765839, acc: 0.125000] 36102: [discriminator loss: 0.479894, acc: 0.718750] [adversarial loss: 1.321189, acc: 0.265625] 36103: [discriminator loss: 0.458095, acc: 0.757812] [adversarial loss: 1.393617, acc: 0.250000] 36104: [discriminator loss: 0.449384, acc: 0.773438] [adversarial loss: 1.140323, acc: 0.296875] 36105: [discriminator loss: 0.449366, acc: 0.773438] [adversarial loss: 1.297021, acc: 0.250000] 36106: [discriminator loss: 0.452441, acc: 0.773438] [adversarial loss: 1.038423, acc: 0.390625] 36107: [discriminator loss: 0.451737, acc: 0.781250] [adversarial loss: 1.006817, acc: 0.375000] 36108: [discriminator loss: 0.489361, acc: 0.734375] [adversarial loss: 1.314865, acc: 0.234375] 36109: [discriminator loss: 0.510415, acc: 0.742188] [adversarial loss: 0.892414, acc: 0.484375] 36110: [discriminator loss: 0.505595, acc: 0.734375] [adversarial loss: 1.699741, acc: 0.078125] 36111: [discriminator loss: 0.551688, acc: 0.710938] [adversarial loss: 0.859814, acc: 0.500000] 36112: [discriminator loss: 0.503300, acc: 0.718750] [adversarial loss: 1.267352, acc: 0.296875] 36113: [discriminator loss: 0.567068, acc: 0.695312] [adversarial loss: 1.447661, acc: 0.140625] 36114: [discriminator loss: 0.564825, acc: 0.687500] [adversarial loss: 0.860263, acc: 0.531250] 36115: [discriminator loss: 0.480454, acc: 0.773438] [adversarial loss: 1.655797, acc: 0.140625] 36116: [discriminator loss: 0.472287, acc: 0.734375] [adversarial loss: 0.967387, acc: 0.312500] 36117: [discriminator loss: 0.417630, acc: 0.820312] [adversarial loss: 0.988777, acc: 0.437500] 36118: [discriminator loss: 0.576256, acc: 0.695312] [adversarial loss: 1.078977, acc: 0.359375] 36119: [discriminator loss: 0.509333, acc: 0.750000] [adversarial loss: 1.285170, acc: 0.125000] 36120: [discriminator loss: 0.504398, acc: 0.734375] [adversarial loss: 1.116205, acc: 0.375000] 36121: [discriminator loss: 0.389731, acc: 0.859375] [adversarial loss: 1.436838, acc: 0.156250] 36122: [discriminator loss: 0.536976, acc: 0.679688] [adversarial loss: 1.027079, acc: 0.453125] 36123: [discriminator loss: 0.558473, acc: 0.703125] [adversarial loss: 1.594574, acc: 0.109375] 36124: [discriminator loss: 0.569299, acc: 0.726562] [adversarial loss: 0.873279, acc: 0.593750] 36125: [discriminator loss: 0.567243, acc: 0.671875] [adversarial loss: 1.876471, acc: 0.093750] 36126: [discriminator loss: 0.590803, acc: 0.703125] [adversarial loss: 1.045147, acc: 0.359375] 36127: [discriminator loss: 0.573788, acc: 0.703125] [adversarial loss: 1.585484, acc: 0.125000] 36128: [discriminator loss: 0.521973, acc: 0.710938] [adversarial loss: 0.950045, acc: 0.359375] 36129: [discriminator loss: 0.514579, acc: 0.765625] [adversarial loss: 1.202231, acc: 0.265625] 36130: [discriminator loss: 0.518121, acc: 0.718750] [adversarial loss: 1.138944, acc: 0.343750] 36131: [discriminator loss: 0.499571, acc: 0.773438] [adversarial loss: 1.565863, acc: 0.109375] 36132: [discriminator loss: 0.571623, acc: 0.671875] [adversarial loss: 1.141508, acc: 0.218750] 36133: [discriminator loss: 0.444616, acc: 0.750000] [adversarial loss: 1.055393, acc: 0.328125] 36134: [discriminator loss: 0.526904, acc: 0.765625] [adversarial loss: 1.654212, acc: 0.140625] 36135: [discriminator loss: 0.486551, acc: 0.765625] [adversarial loss: 1.229670, acc: 0.390625] 36136: [discriminator loss: 0.490880, acc: 0.757812] [adversarial loss: 1.557897, acc: 0.156250] 36137: [discriminator loss: 0.518997, acc: 0.695312] [adversarial loss: 1.209615, acc: 0.250000] 36138: [discriminator loss: 0.512464, acc: 0.750000] [adversarial loss: 1.596449, acc: 0.093750] 36139: [discriminator loss: 0.551751, acc: 0.742188] [adversarial loss: 1.087278, acc: 0.359375] 36140: [discriminator loss: 0.486958, acc: 0.781250] [adversarial loss: 1.420923, acc: 0.203125] 36141: [discriminator loss: 0.498902, acc: 0.757812] [adversarial loss: 1.026509, acc: 0.390625] 36142: [discriminator loss: 0.531284, acc: 0.734375] [adversarial loss: 1.524439, acc: 0.125000] 36143: [discriminator loss: 0.406748, acc: 0.867188] [adversarial loss: 1.162553, acc: 0.250000] 36144: [discriminator loss: 0.550383, acc: 0.710938] [adversarial loss: 1.612984, acc: 0.203125] 36145: [discriminator loss: 0.493224, acc: 0.757812] [adversarial loss: 0.746735, acc: 0.546875] 36146: [discriminator loss: 0.526832, acc: 0.734375] [adversarial loss: 1.450355, acc: 0.109375] 36147: [discriminator loss: 0.564779, acc: 0.710938] [adversarial loss: 1.036388, acc: 0.359375] 36148: [discriminator loss: 0.490315, acc: 0.718750] [adversarial loss: 1.407688, acc: 0.187500] 36149: [discriminator loss: 0.482902, acc: 0.750000] [adversarial loss: 1.402969, acc: 0.156250] 36150: [discriminator loss: 0.543388, acc: 0.687500] [adversarial loss: 1.500058, acc: 0.265625] 36151: [discriminator loss: 0.552244, acc: 0.718750] [adversarial loss: 0.956648, acc: 0.500000] 36152: [discriminator loss: 0.575814, acc: 0.703125] [adversarial loss: 2.023911, acc: 0.031250] 36153: [discriminator loss: 0.528331, acc: 0.695312] [adversarial loss: 0.885682, acc: 0.531250] 36154: [discriminator loss: 0.605817, acc: 0.656250] [adversarial loss: 1.826013, acc: 0.046875] 36155: [discriminator loss: 0.581577, acc: 0.710938] [adversarial loss: 1.128555, acc: 0.359375] 36156: [discriminator loss: 0.520827, acc: 0.703125] [adversarial loss: 1.565026, acc: 0.125000] 36157: [discriminator loss: 0.556814, acc: 0.718750] [adversarial loss: 1.238341, acc: 0.250000] 36158: [discriminator loss: 0.528374, acc: 0.750000] [adversarial loss: 1.453592, acc: 0.203125] 36159: [discriminator loss: 0.529952, acc: 0.734375] [adversarial loss: 0.975712, acc: 0.437500] 36160: [discriminator loss: 0.490112, acc: 0.781250] [adversarial loss: 1.364671, acc: 0.281250] 36161: [discriminator loss: 0.473824, acc: 0.750000] [adversarial loss: 1.261016, acc: 0.250000] 36162: [discriminator loss: 0.515219, acc: 0.710938] [adversarial loss: 1.080414, acc: 0.343750] 36163: [discriminator loss: 0.508533, acc: 0.789062] [adversarial loss: 1.505818, acc: 0.156250] 36164: [discriminator loss: 0.521962, acc: 0.781250] [adversarial loss: 1.343077, acc: 0.218750] 36165: [discriminator loss: 0.544470, acc: 0.687500] [adversarial loss: 1.324985, acc: 0.234375] 36166: [discriminator loss: 0.587482, acc: 0.710938] [adversarial loss: 1.528498, acc: 0.109375] 36167: [discriminator loss: 0.515540, acc: 0.765625] [adversarial loss: 1.167643, acc: 0.328125] 36168: [discriminator loss: 0.543169, acc: 0.750000] [adversarial loss: 1.401488, acc: 0.203125] 36169: [discriminator loss: 0.558400, acc: 0.703125] [adversarial loss: 1.202488, acc: 0.312500] 36170: [discriminator loss: 0.510669, acc: 0.710938] [adversarial loss: 1.309658, acc: 0.312500] 36171: [discriminator loss: 0.528397, acc: 0.695312] [adversarial loss: 0.856620, acc: 0.500000] 36172: [discriminator loss: 0.659124, acc: 0.664062] [adversarial loss: 1.878183, acc: 0.062500] 36173: [discriminator loss: 0.586381, acc: 0.710938] [adversarial loss: 1.014959, acc: 0.359375] 36174: [discriminator loss: 0.546223, acc: 0.718750] [adversarial loss: 1.607349, acc: 0.078125] 36175: [discriminator loss: 0.523490, acc: 0.750000] [adversarial loss: 1.378038, acc: 0.203125] 36176: [discriminator loss: 0.518301, acc: 0.757812] [adversarial loss: 1.659056, acc: 0.078125] 36177: [discriminator loss: 0.494010, acc: 0.796875] [adversarial loss: 1.109367, acc: 0.296875] 36178: [discriminator loss: 0.471627, acc: 0.781250] [adversarial loss: 1.419308, acc: 0.203125] 36179: [discriminator loss: 0.506406, acc: 0.757812] [adversarial loss: 1.272252, acc: 0.234375] 36180: [discriminator loss: 0.486904, acc: 0.804688] [adversarial loss: 1.411894, acc: 0.281250] 36181: [discriminator loss: 0.494426, acc: 0.742188] [adversarial loss: 1.045181, acc: 0.359375] 36182: [discriminator loss: 0.417624, acc: 0.828125] [adversarial loss: 0.981489, acc: 0.437500] 36183: [discriminator loss: 0.490834, acc: 0.765625] [adversarial loss: 1.855471, acc: 0.125000] 36184: [discriminator loss: 0.626349, acc: 0.625000] [adversarial loss: 0.689140, acc: 0.562500] 36185: [discriminator loss: 0.607246, acc: 0.648438] [adversarial loss: 1.647437, acc: 0.093750] 36186: [discriminator loss: 0.477483, acc: 0.804688] [adversarial loss: 0.781707, acc: 0.609375] 36187: [discriminator loss: 0.532547, acc: 0.726562] [adversarial loss: 1.853726, acc: 0.062500] 36188: [discriminator loss: 0.568306, acc: 0.679688] [adversarial loss: 0.895299, acc: 0.546875] 36189: [discriminator loss: 0.504629, acc: 0.765625] [adversarial loss: 1.609931, acc: 0.109375] 36190: [discriminator loss: 0.508664, acc: 0.726562] [adversarial loss: 1.050258, acc: 0.343750] 36191: [discriminator loss: 0.524767, acc: 0.710938] [adversarial loss: 1.509842, acc: 0.109375] 36192: [discriminator loss: 0.492051, acc: 0.734375] [adversarial loss: 1.028835, acc: 0.296875] 36193: [discriminator loss: 0.541234, acc: 0.726562] [adversarial loss: 1.625901, acc: 0.093750] 36194: [discriminator loss: 0.508212, acc: 0.757812] [adversarial loss: 1.151396, acc: 0.265625] 36195: [discriminator loss: 0.448379, acc: 0.804688] [adversarial loss: 1.210740, acc: 0.343750] 36196: [discriminator loss: 0.534663, acc: 0.679688] [adversarial loss: 1.055554, acc: 0.421875] 36197: [discriminator loss: 0.484443, acc: 0.742188] [adversarial loss: 1.599353, acc: 0.156250] 36198: [discriminator loss: 0.482346, acc: 0.812500] [adversarial loss: 0.988938, acc: 0.375000] 36199: [discriminator loss: 0.503930, acc: 0.757812] [adversarial loss: 1.690330, acc: 0.125000] 36200: [discriminator loss: 0.500939, acc: 0.750000] [adversarial loss: 1.315884, acc: 0.156250] 36201: [discriminator loss: 0.521731, acc: 0.734375] [adversarial loss: 1.112812, acc: 0.343750] 36202: [discriminator loss: 0.513193, acc: 0.687500] [adversarial loss: 1.447738, acc: 0.203125] 36203: [discriminator loss: 0.512995, acc: 0.710938] [adversarial loss: 0.913936, acc: 0.515625] 36204: [discriminator loss: 0.523928, acc: 0.742188] [adversarial loss: 1.521931, acc: 0.187500] 36205: [discriminator loss: 0.552207, acc: 0.679688] [adversarial loss: 0.977674, acc: 0.453125] 36206: [discriminator loss: 0.495075, acc: 0.804688] [adversarial loss: 1.543998, acc: 0.203125] 36207: [discriminator loss: 0.527585, acc: 0.742188] [adversarial loss: 1.302291, acc: 0.250000] 36208: [discriminator loss: 0.509866, acc: 0.742188] [adversarial loss: 1.129942, acc: 0.312500] 36209: [discriminator loss: 0.465843, acc: 0.773438] [adversarial loss: 1.082117, acc: 0.453125] 36210: [discriminator loss: 0.491681, acc: 0.718750] [adversarial loss: 1.127693, acc: 0.328125] 36211: [discriminator loss: 0.491773, acc: 0.757812] [adversarial loss: 0.967821, acc: 0.375000] 36212: [discriminator loss: 0.494760, acc: 0.742188] [adversarial loss: 1.160257, acc: 0.250000] 36213: [discriminator loss: 0.494042, acc: 0.734375] [adversarial loss: 1.168890, acc: 0.343750] 36214: [discriminator loss: 0.465394, acc: 0.773438] [adversarial loss: 1.421954, acc: 0.156250] 36215: [discriminator loss: 0.553002, acc: 0.726562] [adversarial loss: 0.894276, acc: 0.468750] 36216: [discriminator loss: 0.537473, acc: 0.718750] [adversarial loss: 1.465240, acc: 0.265625] 36217: [discriminator loss: 0.568253, acc: 0.734375] [adversarial loss: 1.075252, acc: 0.390625] 36218: [discriminator loss: 0.472659, acc: 0.781250] [adversarial loss: 1.439067, acc: 0.203125] 36219: [discriminator loss: 0.587527, acc: 0.640625] [adversarial loss: 1.076890, acc: 0.343750] 36220: [discriminator loss: 0.505138, acc: 0.781250] [adversarial loss: 1.608736, acc: 0.109375] 36221: [discriminator loss: 0.492767, acc: 0.750000] [adversarial loss: 0.845324, acc: 0.546875] 36222: [discriminator loss: 0.582063, acc: 0.710938] [adversarial loss: 1.562230, acc: 0.171875] 36223: [discriminator loss: 0.525314, acc: 0.687500] [adversarial loss: 0.750223, acc: 0.562500] 36224: [discriminator loss: 0.500921, acc: 0.726562] [adversarial loss: 1.661315, acc: 0.187500] 36225: [discriminator loss: 0.579521, acc: 0.687500] [adversarial loss: 0.740803, acc: 0.609375] 36226: [discriminator loss: 0.506424, acc: 0.781250] [adversarial loss: 1.733244, acc: 0.109375] 36227: [discriminator loss: 0.567987, acc: 0.695312] [adversarial loss: 1.052770, acc: 0.328125] 36228: [discriminator loss: 0.492946, acc: 0.726562] [adversarial loss: 1.596887, acc: 0.125000] 36229: [discriminator loss: 0.529262, acc: 0.695312] [adversarial loss: 1.041227, acc: 0.375000] 36230: [discriminator loss: 0.486861, acc: 0.726562] [adversarial loss: 1.391659, acc: 0.250000] 36231: [discriminator loss: 0.547096, acc: 0.679688] [adversarial loss: 0.852241, acc: 0.468750] 36232: [discriminator loss: 0.616159, acc: 0.656250] [adversarial loss: 1.970790, acc: 0.031250] 36233: [discriminator loss: 0.497007, acc: 0.773438] [adversarial loss: 0.997238, acc: 0.296875] 36234: [discriminator loss: 0.568002, acc: 0.679688] [adversarial loss: 1.525410, acc: 0.125000] 36235: [discriminator loss: 0.467182, acc: 0.789062] [adversarial loss: 1.129508, acc: 0.234375] 36236: [discriminator loss: 0.500668, acc: 0.703125] [adversarial loss: 1.380246, acc: 0.156250] 36237: [discriminator loss: 0.504011, acc: 0.742188] [adversarial loss: 1.428135, acc: 0.234375] 36238: [discriminator loss: 0.499294, acc: 0.773438] [adversarial loss: 1.531039, acc: 0.250000] 36239: [discriminator loss: 0.516470, acc: 0.726562] [adversarial loss: 1.431538, acc: 0.171875] 36240: [discriminator loss: 0.467691, acc: 0.773438] [adversarial loss: 1.677987, acc: 0.109375] 36241: [discriminator loss: 0.443272, acc: 0.773438] [adversarial loss: 1.299411, acc: 0.203125] 36242: [discriminator loss: 0.573315, acc: 0.664062] [adversarial loss: 2.157052, acc: 0.000000] 36243: [discriminator loss: 0.547940, acc: 0.765625] [adversarial loss: 0.991166, acc: 0.390625] 36244: [discriminator loss: 0.597185, acc: 0.750000] [adversarial loss: 1.847430, acc: 0.062500] 36245: [discriminator loss: 0.550069, acc: 0.687500] [adversarial loss: 1.009256, acc: 0.328125] 36246: [discriminator loss: 0.454630, acc: 0.804688] [adversarial loss: 1.281313, acc: 0.187500] 36247: [discriminator loss: 0.504715, acc: 0.828125] [adversarial loss: 1.473398, acc: 0.203125] 36248: [discriminator loss: 0.491893, acc: 0.726562] [adversarial loss: 1.345827, acc: 0.203125] 36249: [discriminator loss: 0.461583, acc: 0.789062] [adversarial loss: 1.457724, acc: 0.250000] 36250: [discriminator loss: 0.477579, acc: 0.765625] [adversarial loss: 1.152908, acc: 0.312500] 36251: [discriminator loss: 0.519986, acc: 0.750000] [adversarial loss: 1.587186, acc: 0.156250] 36252: [discriminator loss: 0.464562, acc: 0.773438] [adversarial loss: 1.078784, acc: 0.453125] 36253: [discriminator loss: 0.504057, acc: 0.765625] [adversarial loss: 1.574414, acc: 0.187500] 36254: [discriminator loss: 0.586733, acc: 0.640625] [adversarial loss: 0.771697, acc: 0.609375] 36255: [discriminator loss: 0.547088, acc: 0.726562] [adversarial loss: 1.732582, acc: 0.078125] 36256: [discriminator loss: 0.538133, acc: 0.718750] [adversarial loss: 1.154040, acc: 0.328125] 36257: [discriminator loss: 0.567170, acc: 0.710938] [adversarial loss: 1.242326, acc: 0.328125] 36258: [discriminator loss: 0.481708, acc: 0.750000] [adversarial loss: 1.298375, acc: 0.265625] 36259: [discriminator loss: 0.426476, acc: 0.828125] [adversarial loss: 1.333089, acc: 0.156250] 36260: [discriminator loss: 0.527108, acc: 0.742188] [adversarial loss: 1.018249, acc: 0.437500] 36261: [discriminator loss: 0.488812, acc: 0.757812] [adversarial loss: 1.515151, acc: 0.187500] 36262: [discriminator loss: 0.462330, acc: 0.765625] [adversarial loss: 0.989134, acc: 0.406250] 36263: [discriminator loss: 0.480072, acc: 0.789062] [adversarial loss: 1.473773, acc: 0.234375] 36264: [discriminator loss: 0.418906, acc: 0.781250] [adversarial loss: 1.303853, acc: 0.296875] 36265: [discriminator loss: 0.640931, acc: 0.679688] [adversarial loss: 1.304634, acc: 0.250000] 36266: [discriminator loss: 0.498880, acc: 0.734375] [adversarial loss: 1.072260, acc: 0.343750] 36267: [discriminator loss: 0.514485, acc: 0.742188] [adversarial loss: 1.579848, acc: 0.140625] 36268: [discriminator loss: 0.559874, acc: 0.718750] [adversarial loss: 1.004524, acc: 0.375000] 36269: [discriminator loss: 0.624712, acc: 0.671875] [adversarial loss: 1.306390, acc: 0.296875] 36270: [discriminator loss: 0.496840, acc: 0.734375] [adversarial loss: 1.070454, acc: 0.359375] 36271: [discriminator loss: 0.553629, acc: 0.664062] [adversarial loss: 1.360490, acc: 0.125000] 36272: [discriminator loss: 0.460347, acc: 0.789062] [adversarial loss: 1.199755, acc: 0.281250] 36273: [discriminator loss: 0.491901, acc: 0.781250] [adversarial loss: 1.328183, acc: 0.156250] 36274: [discriminator loss: 0.526186, acc: 0.718750] [adversarial loss: 1.551777, acc: 0.218750] 36275: [discriminator loss: 0.495224, acc: 0.742188] [adversarial loss: 0.882840, acc: 0.515625] 36276: [discriminator loss: 0.479137, acc: 0.773438] [adversarial loss: 1.353446, acc: 0.234375] 36277: [discriminator loss: 0.480346, acc: 0.773438] [adversarial loss: 1.316644, acc: 0.265625] 36278: [discriminator loss: 0.517580, acc: 0.734375] [adversarial loss: 1.356416, acc: 0.093750] 36279: [discriminator loss: 0.546430, acc: 0.726562] [adversarial loss: 1.013147, acc: 0.359375] 36280: [discriminator loss: 0.591124, acc: 0.718750] [adversarial loss: 1.885991, acc: 0.140625] 36281: [discriminator loss: 0.503151, acc: 0.757812] [adversarial loss: 0.993104, acc: 0.421875] 36282: [discriminator loss: 0.534437, acc: 0.695312] [adversarial loss: 1.461868, acc: 0.109375] 36283: [discriminator loss: 0.487046, acc: 0.742188] [adversarial loss: 1.000507, acc: 0.453125] 36284: [discriminator loss: 0.529604, acc: 0.695312] [adversarial loss: 1.722253, acc: 0.125000] 36285: [discriminator loss: 0.555350, acc: 0.671875] [adversarial loss: 1.113634, acc: 0.281250] 36286: [discriminator loss: 0.560209, acc: 0.742188] [adversarial loss: 1.413679, acc: 0.250000] 36287: [discriminator loss: 0.578599, acc: 0.671875] [adversarial loss: 1.373418, acc: 0.218750] 36288: [discriminator loss: 0.513327, acc: 0.710938] [adversarial loss: 1.506350, acc: 0.109375] 36289: [discriminator loss: 0.431111, acc: 0.796875] [adversarial loss: 1.437330, acc: 0.171875] 36290: [discriminator loss: 0.459077, acc: 0.781250] [adversarial loss: 1.391731, acc: 0.187500] 36291: [discriminator loss: 0.467311, acc: 0.781250] [adversarial loss: 1.417692, acc: 0.218750] 36292: [discriminator loss: 0.433613, acc: 0.789062] [adversarial loss: 1.045549, acc: 0.343750] 36293: [discriminator loss: 0.539500, acc: 0.695312] [adversarial loss: 1.575763, acc: 0.140625] 36294: [discriminator loss: 0.564544, acc: 0.687500] [adversarial loss: 1.213483, acc: 0.265625] 36295: [discriminator loss: 0.498532, acc: 0.703125] [adversarial loss: 1.287478, acc: 0.281250] 36296: [discriminator loss: 0.516868, acc: 0.742188] [adversarial loss: 1.570536, acc: 0.156250] 36297: [discriminator loss: 0.466759, acc: 0.789062] [adversarial loss: 1.576440, acc: 0.187500] 36298: [discriminator loss: 0.535129, acc: 0.703125] [adversarial loss: 1.581552, acc: 0.156250] 36299: [discriminator loss: 0.520664, acc: 0.757812] [adversarial loss: 1.189445, acc: 0.328125] 36300: [discriminator loss: 0.527183, acc: 0.734375] [adversarial loss: 1.593210, acc: 0.093750] 36301: [discriminator loss: 0.503098, acc: 0.757812] [adversarial loss: 1.111978, acc: 0.234375] 36302: [discriminator loss: 0.459607, acc: 0.789062] [adversarial loss: 1.554899, acc: 0.125000] 36303: [discriminator loss: 0.552945, acc: 0.703125] [adversarial loss: 0.982274, acc: 0.406250] 36304: [discriminator loss: 0.469866, acc: 0.781250] [adversarial loss: 1.470436, acc: 0.156250] 36305: [discriminator loss: 0.476003, acc: 0.710938] [adversarial loss: 0.830789, acc: 0.468750] 36306: [discriminator loss: 0.614253, acc: 0.710938] [adversarial loss: 1.613758, acc: 0.171875] 36307: [discriminator loss: 0.550843, acc: 0.726562] [adversarial loss: 0.911028, acc: 0.406250] 36308: [discriminator loss: 0.530725, acc: 0.687500] [adversarial loss: 2.012790, acc: 0.046875] 36309: [discriminator loss: 0.551372, acc: 0.695312] [adversarial loss: 1.087863, acc: 0.343750] 36310: [discriminator loss: 0.541857, acc: 0.726562] [adversarial loss: 1.502910, acc: 0.203125] 36311: [discriminator loss: 0.515425, acc: 0.703125] [adversarial loss: 1.113287, acc: 0.328125] 36312: [discriminator loss: 0.542840, acc: 0.726562] [adversarial loss: 1.529254, acc: 0.093750] 36313: [discriminator loss: 0.566534, acc: 0.703125] [adversarial loss: 0.975622, acc: 0.421875] 36314: [discriminator loss: 0.545267, acc: 0.734375] [adversarial loss: 1.751782, acc: 0.031250] 36315: [discriminator loss: 0.632595, acc: 0.679688] [adversarial loss: 1.063245, acc: 0.406250] 36316: [discriminator loss: 0.507023, acc: 0.726562] [adversarial loss: 1.592688, acc: 0.125000] 36317: [discriminator loss: 0.545310, acc: 0.679688] [adversarial loss: 1.081696, acc: 0.375000] 36318: [discriminator loss: 0.568339, acc: 0.718750] [adversarial loss: 1.334484, acc: 0.234375] 36319: [discriminator loss: 0.502073, acc: 0.750000] [adversarial loss: 1.050016, acc: 0.328125] 36320: [discriminator loss: 0.530660, acc: 0.710938] [adversarial loss: 1.477637, acc: 0.156250] 36321: [discriminator loss: 0.542839, acc: 0.679688] [adversarial loss: 1.022060, acc: 0.312500] 36322: [discriminator loss: 0.597717, acc: 0.671875] [adversarial loss: 1.450985, acc: 0.171875] 36323: [discriminator loss: 0.574391, acc: 0.679688] [adversarial loss: 1.284017, acc: 0.265625] 36324: [discriminator loss: 0.496669, acc: 0.757812] [adversarial loss: 1.430637, acc: 0.156250] 36325: [discriminator loss: 0.461727, acc: 0.765625] [adversarial loss: 1.189166, acc: 0.281250] 36326: [discriminator loss: 0.439719, acc: 0.812500] [adversarial loss: 1.429999, acc: 0.187500] 36327: [discriminator loss: 0.534515, acc: 0.750000] [adversarial loss: 1.295362, acc: 0.281250] 36328: [discriminator loss: 0.510621, acc: 0.757812] [adversarial loss: 1.640287, acc: 0.125000] 36329: [discriminator loss: 0.532882, acc: 0.750000] [adversarial loss: 1.014488, acc: 0.343750] 36330: [discriminator loss: 0.556047, acc: 0.710938] [adversarial loss: 1.530673, acc: 0.171875] 36331: [discriminator loss: 0.441323, acc: 0.796875] [adversarial loss: 1.247787, acc: 0.234375] 36332: [discriminator loss: 0.447336, acc: 0.750000] [adversarial loss: 1.606209, acc: 0.125000] 36333: [discriminator loss: 0.454772, acc: 0.796875] [adversarial loss: 1.082391, acc: 0.375000] 36334: [discriminator loss: 0.585240, acc: 0.679688] [adversarial loss: 1.801767, acc: 0.078125] 36335: [discriminator loss: 0.616423, acc: 0.656250] [adversarial loss: 0.905977, acc: 0.468750] 36336: [discriminator loss: 0.576350, acc: 0.726562] [adversarial loss: 1.474473, acc: 0.140625] 36337: [discriminator loss: 0.442062, acc: 0.796875] [adversarial loss: 1.372997, acc: 0.109375] 36338: [discriminator loss: 0.488696, acc: 0.765625] [adversarial loss: 1.280443, acc: 0.265625] 36339: [discriminator loss: 0.520822, acc: 0.664062] [adversarial loss: 1.186880, acc: 0.359375] 36340: [discriminator loss: 0.531295, acc: 0.734375] [adversarial loss: 1.338710, acc: 0.171875] 36341: [discriminator loss: 0.529546, acc: 0.726562] [adversarial loss: 1.052738, acc: 0.343750] 36342: [discriminator loss: 0.518759, acc: 0.726562] [adversarial loss: 1.543001, acc: 0.203125] 36343: [discriminator loss: 0.504725, acc: 0.734375] [adversarial loss: 1.026252, acc: 0.359375] 36344: [discriminator loss: 0.534167, acc: 0.718750] [adversarial loss: 1.574720, acc: 0.156250] 36345: [discriminator loss: 0.500196, acc: 0.757812] [adversarial loss: 1.085038, acc: 0.234375] 36346: [discriminator loss: 0.569478, acc: 0.703125] [adversarial loss: 1.864269, acc: 0.062500] 36347: [discriminator loss: 0.508730, acc: 0.742188] [adversarial loss: 1.114323, acc: 0.328125] 36348: [discriminator loss: 0.575572, acc: 0.703125] [adversarial loss: 1.660226, acc: 0.140625] 36349: [discriminator loss: 0.586975, acc: 0.695312] [adversarial loss: 0.999848, acc: 0.281250] 36350: [discriminator loss: 0.582631, acc: 0.671875] [adversarial loss: 1.664013, acc: 0.093750] 36351: [discriminator loss: 0.563003, acc: 0.703125] [adversarial loss: 1.028923, acc: 0.390625] 36352: [discriminator loss: 0.578083, acc: 0.695312] [adversarial loss: 1.442333, acc: 0.218750] 36353: [discriminator loss: 0.514754, acc: 0.734375] [adversarial loss: 0.997936, acc: 0.343750] 36354: [discriminator loss: 0.491566, acc: 0.734375] [adversarial loss: 1.339133, acc: 0.187500] 36355: [discriminator loss: 0.519357, acc: 0.742188] [adversarial loss: 0.951017, acc: 0.343750] 36356: [discriminator loss: 0.489745, acc: 0.804688] [adversarial loss: 1.185344, acc: 0.281250] 36357: [discriminator loss: 0.486446, acc: 0.734375] [adversarial loss: 1.264076, acc: 0.281250] 36358: [discriminator loss: 0.441229, acc: 0.828125] [adversarial loss: 1.142456, acc: 0.296875] 36359: [discriminator loss: 0.526697, acc: 0.757812] [adversarial loss: 1.149512, acc: 0.203125] 36360: [discriminator loss: 0.613513, acc: 0.632812] [adversarial loss: 0.882105, acc: 0.500000] 36361: [discriminator loss: 0.478301, acc: 0.757812] [adversarial loss: 1.678807, acc: 0.171875] 36362: [discriminator loss: 0.495642, acc: 0.773438] [adversarial loss: 0.959193, acc: 0.375000] 36363: [discriminator loss: 0.518523, acc: 0.757812] [adversarial loss: 1.329579, acc: 0.125000] 36364: [discriminator loss: 0.432696, acc: 0.859375] [adversarial loss: 0.847174, acc: 0.531250] 36365: [discriminator loss: 0.510573, acc: 0.718750] [adversarial loss: 1.315617, acc: 0.218750] 36366: [discriminator loss: 0.541198, acc: 0.726562] [adversarial loss: 1.034513, acc: 0.390625] 36367: [discriminator loss: 0.554269, acc: 0.750000] [adversarial loss: 1.239424, acc: 0.343750] 36368: [discriminator loss: 0.566089, acc: 0.726562] [adversarial loss: 1.194017, acc: 0.296875] 36369: [discriminator loss: 0.455119, acc: 0.812500] [adversarial loss: 1.364681, acc: 0.203125] 36370: [discriminator loss: 0.584020, acc: 0.710938] [adversarial loss: 1.340575, acc: 0.203125] 36371: [discriminator loss: 0.489964, acc: 0.757812] [adversarial loss: 1.599045, acc: 0.078125] 36372: [discriminator loss: 0.418192, acc: 0.828125] [adversarial loss: 1.235260, acc: 0.281250] 36373: [discriminator loss: 0.469551, acc: 0.765625] [adversarial loss: 1.571908, acc: 0.187500] 36374: [discriminator loss: 0.512654, acc: 0.750000] [adversarial loss: 1.256729, acc: 0.218750] 36375: [discriminator loss: 0.536825, acc: 0.750000] [adversarial loss: 1.512919, acc: 0.171875] 36376: [discriminator loss: 0.483628, acc: 0.765625] [adversarial loss: 0.953398, acc: 0.437500] 36377: [discriminator loss: 0.551479, acc: 0.734375] [adversarial loss: 1.995400, acc: 0.078125] 36378: [discriminator loss: 0.515114, acc: 0.726562] [adversarial loss: 0.871409, acc: 0.453125] 36379: [discriminator loss: 0.631856, acc: 0.687500] [adversarial loss: 1.711345, acc: 0.156250] 36380: [discriminator loss: 0.525902, acc: 0.695312] [adversarial loss: 1.069090, acc: 0.359375] 36381: [discriminator loss: 0.493191, acc: 0.781250] [adversarial loss: 1.243466, acc: 0.250000] 36382: [discriminator loss: 0.381799, acc: 0.820312] [adversarial loss: 1.431215, acc: 0.203125] 36383: [discriminator loss: 0.500125, acc: 0.734375] [adversarial loss: 1.318121, acc: 0.265625] 36384: [discriminator loss: 0.536021, acc: 0.703125] [adversarial loss: 1.522626, acc: 0.109375] 36385: [discriminator loss: 0.440852, acc: 0.765625] [adversarial loss: 1.238029, acc: 0.296875] 36386: [discriminator loss: 0.473196, acc: 0.804688] [adversarial loss: 1.489502, acc: 0.203125] 36387: [discriminator loss: 0.508944, acc: 0.757812] [adversarial loss: 1.249235, acc: 0.218750] 36388: [discriminator loss: 0.577643, acc: 0.679688] [adversarial loss: 1.672102, acc: 0.156250] 36389: [discriminator loss: 0.517944, acc: 0.695312] [adversarial loss: 0.837646, acc: 0.562500] 36390: [discriminator loss: 0.512840, acc: 0.750000] [adversarial loss: 1.532500, acc: 0.140625] 36391: [discriminator loss: 0.520799, acc: 0.710938] [adversarial loss: 0.973464, acc: 0.406250] 36392: [discriminator loss: 0.440410, acc: 0.812500] [adversarial loss: 1.253015, acc: 0.281250] 36393: [discriminator loss: 0.395782, acc: 0.835938] [adversarial loss: 1.289534, acc: 0.250000] 36394: [discriminator loss: 0.478802, acc: 0.757812] [adversarial loss: 1.405326, acc: 0.265625] 36395: [discriminator loss: 0.479953, acc: 0.773438] [adversarial loss: 0.915109, acc: 0.500000] 36396: [discriminator loss: 0.555532, acc: 0.640625] [adversarial loss: 1.886548, acc: 0.125000] 36397: [discriminator loss: 0.590188, acc: 0.664062] [adversarial loss: 1.143562, acc: 0.328125] 36398: [discriminator loss: 0.535343, acc: 0.718750] [adversarial loss: 1.361778, acc: 0.203125] 36399: [discriminator loss: 0.492182, acc: 0.750000] [adversarial loss: 1.296196, acc: 0.218750] 36400: [discriminator loss: 0.522515, acc: 0.734375] [adversarial loss: 1.404422, acc: 0.218750] 36401: [discriminator loss: 0.435522, acc: 0.773438] [adversarial loss: 1.024493, acc: 0.328125] 36402: [discriminator loss: 0.534750, acc: 0.742188] [adversarial loss: 1.305333, acc: 0.234375] 36403: [discriminator loss: 0.514628, acc: 0.718750] [adversarial loss: 0.786047, acc: 0.531250] 36404: [discriminator loss: 0.545558, acc: 0.726562] [adversarial loss: 1.766635, acc: 0.093750] 36405: [discriminator loss: 0.506296, acc: 0.687500] [adversarial loss: 0.828363, acc: 0.406250] 36406: [discriminator loss: 0.457429, acc: 0.757812] [adversarial loss: 1.233740, acc: 0.312500] 36407: [discriminator loss: 0.462884, acc: 0.757812] [adversarial loss: 1.286463, acc: 0.265625] 36408: [discriminator loss: 0.503762, acc: 0.742188] [adversarial loss: 1.485978, acc: 0.187500] 36409: [discriminator loss: 0.493417, acc: 0.781250] [adversarial loss: 1.271043, acc: 0.171875] 36410: [discriminator loss: 0.446608, acc: 0.781250] [adversarial loss: 1.252258, acc: 0.265625] 36411: [discriminator loss: 0.542927, acc: 0.710938] [adversarial loss: 1.269847, acc: 0.234375] 36412: [discriminator loss: 0.509069, acc: 0.742188] [adversarial loss: 1.118869, acc: 0.343750] 36413: [discriminator loss: 0.484757, acc: 0.750000] [adversarial loss: 1.265415, acc: 0.203125] 36414: [discriminator loss: 0.491760, acc: 0.757812] [adversarial loss: 1.516611, acc: 0.140625] 36415: [discriminator loss: 0.510122, acc: 0.718750] [adversarial loss: 1.011379, acc: 0.437500] 36416: [discriminator loss: 0.501228, acc: 0.742188] [adversarial loss: 1.776893, acc: 0.156250] 36417: [discriminator loss: 0.493436, acc: 0.750000] [adversarial loss: 1.313827, acc: 0.218750] 36418: [discriminator loss: 0.543258, acc: 0.750000] [adversarial loss: 1.265648, acc: 0.187500] 36419: [discriminator loss: 0.548158, acc: 0.726562] [adversarial loss: 1.061426, acc: 0.421875] 36420: [discriminator loss: 0.487820, acc: 0.750000] [adversarial loss: 1.560223, acc: 0.093750] 36421: [discriminator loss: 0.563303, acc: 0.703125] [adversarial loss: 1.192681, acc: 0.375000] 36422: [discriminator loss: 0.564655, acc: 0.726562] [adversarial loss: 1.622897, acc: 0.031250] 36423: [discriminator loss: 0.532435, acc: 0.679688] [adversarial loss: 0.844969, acc: 0.484375] 36424: [discriminator loss: 0.479828, acc: 0.734375] [adversarial loss: 1.890128, acc: 0.140625] 36425: [discriminator loss: 0.556193, acc: 0.726562] [adversarial loss: 1.248339, acc: 0.234375] 36426: [discriminator loss: 0.511204, acc: 0.757812] [adversarial loss: 1.781954, acc: 0.125000] 36427: [discriminator loss: 0.484164, acc: 0.773438] [adversarial loss: 1.090059, acc: 0.375000] 36428: [discriminator loss: 0.481464, acc: 0.781250] [adversarial loss: 1.566878, acc: 0.140625] 36429: [discriminator loss: 0.514469, acc: 0.726562] [adversarial loss: 0.963931, acc: 0.328125] 36430: [discriminator loss: 0.491811, acc: 0.734375] [adversarial loss: 1.319796, acc: 0.218750] 36431: [discriminator loss: 0.524790, acc: 0.734375] [adversarial loss: 1.216444, acc: 0.281250] 36432: [discriminator loss: 0.507395, acc: 0.718750] [adversarial loss: 1.123439, acc: 0.265625] 36433: [discriminator loss: 0.562049, acc: 0.718750] [adversarial loss: 1.534420, acc: 0.093750] 36434: [discriminator loss: 0.467894, acc: 0.773438] [adversarial loss: 1.169436, acc: 0.328125] 36435: [discriminator loss: 0.517746, acc: 0.734375] [adversarial loss: 1.583026, acc: 0.046875] 36436: [discriminator loss: 0.541790, acc: 0.734375] [adversarial loss: 0.987425, acc: 0.500000] 36437: [discriminator loss: 0.565312, acc: 0.742188] [adversarial loss: 1.545688, acc: 0.093750] 36438: [discriminator loss: 0.511422, acc: 0.687500] [adversarial loss: 1.054826, acc: 0.328125] 36439: [discriminator loss: 0.551997, acc: 0.718750] [adversarial loss: 1.436826, acc: 0.109375] 36440: [discriminator loss: 0.542371, acc: 0.750000] [adversarial loss: 1.231414, acc: 0.265625] 36441: [discriminator loss: 0.489466, acc: 0.757812] [adversarial loss: 1.228866, acc: 0.203125] 36442: [discriminator loss: 0.441112, acc: 0.796875] [adversarial loss: 1.283075, acc: 0.250000] 36443: [discriminator loss: 0.479235, acc: 0.781250] [adversarial loss: 1.591886, acc: 0.187500] 36444: [discriminator loss: 0.472573, acc: 0.781250] [adversarial loss: 1.342885, acc: 0.187500] 36445: [discriminator loss: 0.467458, acc: 0.781250] [adversarial loss: 1.678279, acc: 0.125000] 36446: [discriminator loss: 0.571355, acc: 0.718750] [adversarial loss: 1.106356, acc: 0.343750] 36447: [discriminator loss: 0.533142, acc: 0.742188] [adversarial loss: 1.517093, acc: 0.109375] 36448: [discriminator loss: 0.547736, acc: 0.726562] [adversarial loss: 1.238241, acc: 0.296875] 36449: [discriminator loss: 0.472861, acc: 0.796875] [adversarial loss: 1.243186, acc: 0.312500] 36450: [discriminator loss: 0.553458, acc: 0.757812] [adversarial loss: 1.072051, acc: 0.343750] 36451: [discriminator loss: 0.504299, acc: 0.734375] [adversarial loss: 1.685997, acc: 0.140625] 36452: [discriminator loss: 0.481890, acc: 0.750000] [adversarial loss: 1.003457, acc: 0.453125] 36453: [discriminator loss: 0.561253, acc: 0.679688] [adversarial loss: 1.654506, acc: 0.109375] 36454: [discriminator loss: 0.440119, acc: 0.773438] [adversarial loss: 0.991768, acc: 0.359375] 36455: [discriminator loss: 0.604916, acc: 0.640625] [adversarial loss: 2.141410, acc: 0.062500] 36456: [discriminator loss: 0.491647, acc: 0.703125] [adversarial loss: 0.985810, acc: 0.390625] 36457: [discriminator loss: 0.517865, acc: 0.710938] [adversarial loss: 1.575428, acc: 0.218750] 36458: [discriminator loss: 0.618694, acc: 0.656250] [adversarial loss: 1.104671, acc: 0.265625] 36459: [discriminator loss: 0.529380, acc: 0.734375] [adversarial loss: 1.402883, acc: 0.234375] 36460: [discriminator loss: 0.477526, acc: 0.734375] [adversarial loss: 1.088116, acc: 0.250000] 36461: [discriminator loss: 0.549239, acc: 0.695312] [adversarial loss: 1.225159, acc: 0.218750] 36462: [discriminator loss: 0.584699, acc: 0.703125] [adversarial loss: 1.126666, acc: 0.343750] 36463: [discriminator loss: 0.525950, acc: 0.757812] [adversarial loss: 1.362512, acc: 0.250000] 36464: [discriminator loss: 0.500852, acc: 0.726562] [adversarial loss: 0.892269, acc: 0.437500] 36465: [discriminator loss: 0.519537, acc: 0.726562] [adversarial loss: 1.544839, acc: 0.156250] 36466: [discriminator loss: 0.396622, acc: 0.812500] [adversarial loss: 1.307080, acc: 0.187500] 36467: [discriminator loss: 0.522831, acc: 0.757812] [adversarial loss: 1.400168, acc: 0.234375] 36468: [discriminator loss: 0.487609, acc: 0.765625] [adversarial loss: 1.470294, acc: 0.109375] 36469: [discriminator loss: 0.574738, acc: 0.664062] [adversarial loss: 1.002292, acc: 0.421875] 36470: [discriminator loss: 0.534730, acc: 0.726562] [adversarial loss: 1.897468, acc: 0.062500] 36471: [discriminator loss: 0.571081, acc: 0.679688] [adversarial loss: 0.829615, acc: 0.484375] 36472: [discriminator loss: 0.551852, acc: 0.718750] [adversarial loss: 1.688790, acc: 0.109375] 36473: [discriminator loss: 0.565617, acc: 0.671875] [adversarial loss: 1.045264, acc: 0.328125] 36474: [discriminator loss: 0.485932, acc: 0.765625] [adversarial loss: 1.332009, acc: 0.156250] 36475: [discriminator loss: 0.457604, acc: 0.804688] [adversarial loss: 1.463886, acc: 0.203125] 36476: [discriminator loss: 0.503137, acc: 0.742188] [adversarial loss: 1.094006, acc: 0.359375] 36477: [discriminator loss: 0.481979, acc: 0.812500] [adversarial loss: 1.411970, acc: 0.234375] 36478: [discriminator loss: 0.479029, acc: 0.773438] [adversarial loss: 1.028107, acc: 0.390625] 36479: [discriminator loss: 0.475125, acc: 0.757812] [adversarial loss: 1.359688, acc: 0.156250] 36480: [discriminator loss: 0.489213, acc: 0.742188] [adversarial loss: 1.373032, acc: 0.156250] 36481: [discriminator loss: 0.531470, acc: 0.710938] [adversarial loss: 1.564834, acc: 0.140625] 36482: [discriminator loss: 0.451560, acc: 0.781250] [adversarial loss: 1.307450, acc: 0.250000] 36483: [discriminator loss: 0.512031, acc: 0.734375] [adversarial loss: 1.651301, acc: 0.093750] 36484: [discriminator loss: 0.576376, acc: 0.695312] [adversarial loss: 0.929030, acc: 0.375000] 36485: [discriminator loss: 0.523233, acc: 0.750000] [adversarial loss: 1.726154, acc: 0.109375] 36486: [discriminator loss: 0.616536, acc: 0.664062] [adversarial loss: 0.845508, acc: 0.515625] 36487: [discriminator loss: 0.543148, acc: 0.703125] [adversarial loss: 2.035489, acc: 0.046875] 36488: [discriminator loss: 0.544976, acc: 0.703125] [adversarial loss: 0.937466, acc: 0.437500] 36489: [discriminator loss: 0.533262, acc: 0.726562] [adversarial loss: 1.181527, acc: 0.312500] 36490: [discriminator loss: 0.469672, acc: 0.757812] [adversarial loss: 1.594465, acc: 0.125000] 36491: [discriminator loss: 0.492490, acc: 0.742188] [adversarial loss: 1.548023, acc: 0.187500] 36492: [discriminator loss: 0.530272, acc: 0.750000] [adversarial loss: 1.394209, acc: 0.312500] 36493: [discriminator loss: 0.545528, acc: 0.750000] [adversarial loss: 1.445456, acc: 0.234375] 36494: [discriminator loss: 0.435336, acc: 0.804688] [adversarial loss: 1.227672, acc: 0.328125] 36495: [discriminator loss: 0.509390, acc: 0.742188] [adversarial loss: 1.155748, acc: 0.296875] 36496: [discriminator loss: 0.570051, acc: 0.750000] [adversarial loss: 0.973048, acc: 0.359375] 36497: [discriminator loss: 0.537812, acc: 0.742188] [adversarial loss: 1.688072, acc: 0.156250] 36498: [discriminator loss: 0.533698, acc: 0.703125] [adversarial loss: 0.957304, acc: 0.453125] 36499: [discriminator loss: 0.484076, acc: 0.726562] [adversarial loss: 1.727150, acc: 0.125000] 36500: [discriminator loss: 0.505088, acc: 0.765625] [adversarial loss: 1.335201, acc: 0.218750] 36501: [discriminator loss: 0.515939, acc: 0.703125] [adversarial loss: 1.456110, acc: 0.234375] 36502: [discriminator loss: 0.614649, acc: 0.664062] [adversarial loss: 1.299128, acc: 0.312500] 36503: [discriminator loss: 0.506446, acc: 0.734375] [adversarial loss: 1.534761, acc: 0.156250] 36504: [discriminator loss: 0.496209, acc: 0.726562] [adversarial loss: 1.206670, acc: 0.296875] 36505: [discriminator loss: 0.552952, acc: 0.757812] [adversarial loss: 1.640694, acc: 0.109375] 36506: [discriminator loss: 0.479702, acc: 0.726562] [adversarial loss: 1.051663, acc: 0.406250] 36507: [discriminator loss: 0.570560, acc: 0.726562] [adversarial loss: 1.882182, acc: 0.109375] 36508: [discriminator loss: 0.492805, acc: 0.750000] [adversarial loss: 0.848285, acc: 0.453125] 36509: [discriminator loss: 0.508353, acc: 0.750000] [adversarial loss: 1.904182, acc: 0.156250] 36510: [discriminator loss: 0.518946, acc: 0.742188] [adversarial loss: 1.067448, acc: 0.453125] 36511: [discriminator loss: 0.505364, acc: 0.781250] [adversarial loss: 1.589607, acc: 0.125000] 36512: [discriminator loss: 0.486036, acc: 0.765625] [adversarial loss: 1.075057, acc: 0.375000] 36513: [discriminator loss: 0.491341, acc: 0.710938] [adversarial loss: 1.281212, acc: 0.281250] 36514: [discriminator loss: 0.521565, acc: 0.726562] [adversarial loss: 1.383064, acc: 0.171875] 36515: [discriminator loss: 0.512579, acc: 0.695312] [adversarial loss: 0.929030, acc: 0.406250] 36516: [discriminator loss: 0.477137, acc: 0.781250] [adversarial loss: 1.597895, acc: 0.140625] 36517: [discriminator loss: 0.565082, acc: 0.687500] [adversarial loss: 0.945384, acc: 0.328125] 36518: [discriminator loss: 0.581494, acc: 0.656250] [adversarial loss: 1.669927, acc: 0.140625] 36519: [discriminator loss: 0.559733, acc: 0.734375] [adversarial loss: 1.179930, acc: 0.343750] 36520: [discriminator loss: 0.430336, acc: 0.781250] [adversarial loss: 1.373565, acc: 0.171875] 36521: [discriminator loss: 0.493490, acc: 0.765625] [adversarial loss: 1.277376, acc: 0.140625] 36522: [discriminator loss: 0.527579, acc: 0.695312] [adversarial loss: 1.096116, acc: 0.265625] 36523: [discriminator loss: 0.486981, acc: 0.726562] [adversarial loss: 1.475654, acc: 0.203125] 36524: [discriminator loss: 0.501254, acc: 0.726562] [adversarial loss: 1.091229, acc: 0.281250] 36525: [discriminator loss: 0.522550, acc: 0.757812] [adversarial loss: 1.216283, acc: 0.312500] 36526: [discriminator loss: 0.535204, acc: 0.687500] [adversarial loss: 1.247455, acc: 0.203125] 36527: [discriminator loss: 0.531670, acc: 0.742188] [adversarial loss: 1.227479, acc: 0.203125] 36528: [discriminator loss: 0.471035, acc: 0.773438] [adversarial loss: 1.237406, acc: 0.296875] 36529: [discriminator loss: 0.544879, acc: 0.703125] [adversarial loss: 1.890279, acc: 0.046875] 36530: [discriminator loss: 0.547891, acc: 0.687500] [adversarial loss: 0.795465, acc: 0.562500] 36531: [discriminator loss: 0.654034, acc: 0.664062] [adversarial loss: 1.802385, acc: 0.046875] 36532: [discriminator loss: 0.583241, acc: 0.695312] [adversarial loss: 1.160094, acc: 0.328125] 36533: [discriminator loss: 0.516258, acc: 0.695312] [adversarial loss: 1.509568, acc: 0.109375] 36534: [discriminator loss: 0.447998, acc: 0.781250] [adversarial loss: 1.287340, acc: 0.156250] 36535: [discriminator loss: 0.490114, acc: 0.781250] [adversarial loss: 1.356378, acc: 0.187500] 36536: [discriminator loss: 0.505810, acc: 0.742188] [adversarial loss: 1.156120, acc: 0.296875] 36537: [discriminator loss: 0.532617, acc: 0.710938] [adversarial loss: 1.401010, acc: 0.234375] 36538: [discriminator loss: 0.569213, acc: 0.687500] [adversarial loss: 1.027841, acc: 0.312500] 36539: [discriminator loss: 0.563082, acc: 0.742188] [adversarial loss: 1.630015, acc: 0.171875] 36540: [discriminator loss: 0.519406, acc: 0.718750] [adversarial loss: 0.909172, acc: 0.453125] 36541: [discriminator loss: 0.506247, acc: 0.765625] [adversarial loss: 1.303565, acc: 0.250000] 36542: [discriminator loss: 0.524197, acc: 0.734375] [adversarial loss: 1.134347, acc: 0.296875] 36543: [discriminator loss: 0.484651, acc: 0.781250] [adversarial loss: 1.352221, acc: 0.156250] 36544: [discriminator loss: 0.553155, acc: 0.656250] [adversarial loss: 1.358537, acc: 0.156250] 36545: [discriminator loss: 0.535266, acc: 0.742188] [adversarial loss: 0.973787, acc: 0.437500] 36546: [discriminator loss: 0.481954, acc: 0.773438] [adversarial loss: 1.376491, acc: 0.203125] 36547: [discriminator loss: 0.578442, acc: 0.710938] [adversarial loss: 1.516955, acc: 0.109375] 36548: [discriminator loss: 0.460216, acc: 0.796875] [adversarial loss: 1.062013, acc: 0.312500] 36549: [discriminator loss: 0.545907, acc: 0.742188] [adversarial loss: 1.706423, acc: 0.109375] 36550: [discriminator loss: 0.450005, acc: 0.781250] [adversarial loss: 1.123101, acc: 0.328125] 36551: [discriminator loss: 0.508915, acc: 0.742188] [adversarial loss: 1.768631, acc: 0.156250] 36552: [discriminator loss: 0.573258, acc: 0.695312] [adversarial loss: 1.123341, acc: 0.421875] 36553: [discriminator loss: 0.512140, acc: 0.726562] [adversarial loss: 1.756087, acc: 0.156250] 36554: [discriminator loss: 0.498523, acc: 0.710938] [adversarial loss: 1.178878, acc: 0.250000] 36555: [discriminator loss: 0.509227, acc: 0.750000] [adversarial loss: 1.527856, acc: 0.156250] 36556: [discriminator loss: 0.556575, acc: 0.695312] [adversarial loss: 1.231512, acc: 0.218750] 36557: [discriminator loss: 0.519238, acc: 0.750000] [adversarial loss: 1.180465, acc: 0.265625] 36558: [discriminator loss: 0.523608, acc: 0.773438] [adversarial loss: 1.674491, acc: 0.109375] 36559: [discriminator loss: 0.580376, acc: 0.695312] [adversarial loss: 0.871337, acc: 0.500000] 36560: [discriminator loss: 0.458807, acc: 0.781250] [adversarial loss: 1.461466, acc: 0.140625] 36561: [discriminator loss: 0.553073, acc: 0.726562] [adversarial loss: 1.347332, acc: 0.171875] 36562: [discriminator loss: 0.543751, acc: 0.718750] [adversarial loss: 1.267539, acc: 0.250000] 36563: [discriminator loss: 0.442777, acc: 0.843750] [adversarial loss: 1.150237, acc: 0.328125] 36564: [discriminator loss: 0.513244, acc: 0.765625] [adversarial loss: 1.237311, acc: 0.234375] 36565: [discriminator loss: 0.532438, acc: 0.718750] [adversarial loss: 1.356626, acc: 0.187500] 36566: [discriminator loss: 0.460920, acc: 0.789062] [adversarial loss: 1.226499, acc: 0.296875] 36567: [discriminator loss: 0.437319, acc: 0.804688] [adversarial loss: 1.536043, acc: 0.187500] 36568: [discriminator loss: 0.508903, acc: 0.718750] [adversarial loss: 1.113682, acc: 0.296875] 36569: [discriminator loss: 0.565481, acc: 0.726562] [adversarial loss: 1.504326, acc: 0.250000] 36570: [discriminator loss: 0.538308, acc: 0.734375] [adversarial loss: 0.807760, acc: 0.531250] 36571: [discriminator loss: 0.564265, acc: 0.679688] [adversarial loss: 1.770757, acc: 0.093750] 36572: [discriminator loss: 0.526528, acc: 0.750000] [adversarial loss: 1.012679, acc: 0.406250] 36573: [discriminator loss: 0.472589, acc: 0.726562] [adversarial loss: 1.504948, acc: 0.156250] 36574: [discriminator loss: 0.506141, acc: 0.726562] [adversarial loss: 1.274512, acc: 0.234375] 36575: [discriminator loss: 0.501275, acc: 0.734375] [adversarial loss: 1.584215, acc: 0.109375] 36576: [discriminator loss: 0.480323, acc: 0.734375] [adversarial loss: 0.892725, acc: 0.406250] 36577: [discriminator loss: 0.583488, acc: 0.718750] [adversarial loss: 1.687778, acc: 0.093750] 36578: [discriminator loss: 0.564704, acc: 0.703125] [adversarial loss: 1.166237, acc: 0.343750] 36579: [discriminator loss: 0.524656, acc: 0.726562] [adversarial loss: 1.479936, acc: 0.140625] 36580: [discriminator loss: 0.556395, acc: 0.695312] [adversarial loss: 1.134949, acc: 0.359375] 36581: [discriminator loss: 0.507857, acc: 0.718750] [adversarial loss: 1.183594, acc: 0.296875] 36582: [discriminator loss: 0.461919, acc: 0.757812] [adversarial loss: 1.071104, acc: 0.359375] 36583: [discriminator loss: 0.539026, acc: 0.710938] [adversarial loss: 1.411725, acc: 0.156250] 36584: [discriminator loss: 0.515925, acc: 0.703125] [adversarial loss: 1.033920, acc: 0.343750] 36585: [discriminator loss: 0.609040, acc: 0.687500] [adversarial loss: 1.825943, acc: 0.062500] 36586: [discriminator loss: 0.531420, acc: 0.742188] [adversarial loss: 0.869517, acc: 0.531250] 36587: [discriminator loss: 0.477228, acc: 0.757812] [adversarial loss: 1.559657, acc: 0.156250] 36588: [discriminator loss: 0.555482, acc: 0.703125] [adversarial loss: 1.481469, acc: 0.093750] 36589: [discriminator loss: 0.549902, acc: 0.718750] [adversarial loss: 1.019006, acc: 0.359375] 36590: [discriminator loss: 0.556529, acc: 0.687500] [adversarial loss: 1.325683, acc: 0.171875] 36591: [discriminator loss: 0.609445, acc: 0.656250] [adversarial loss: 1.549597, acc: 0.187500] 36592: [discriminator loss: 0.513693, acc: 0.734375] [adversarial loss: 1.137389, acc: 0.328125] 36593: [discriminator loss: 0.511860, acc: 0.757812] [adversarial loss: 1.371341, acc: 0.156250] 36594: [discriminator loss: 0.494120, acc: 0.734375] [adversarial loss: 1.311568, acc: 0.281250] 36595: [discriminator loss: 0.550719, acc: 0.750000] [adversarial loss: 1.153029, acc: 0.343750] 36596: [discriminator loss: 0.545057, acc: 0.687500] [adversarial loss: 1.425654, acc: 0.218750] 36597: [discriminator loss: 0.583649, acc: 0.710938] [adversarial loss: 1.220836, acc: 0.296875] 36598: [discriminator loss: 0.530739, acc: 0.765625] [adversarial loss: 1.707437, acc: 0.140625] 36599: [discriminator loss: 0.492534, acc: 0.757812] [adversarial loss: 1.166610, acc: 0.218750] 36600: [discriminator loss: 0.446081, acc: 0.796875] [adversarial loss: 1.212417, acc: 0.312500] 36601: [discriminator loss: 0.538291, acc: 0.742188] [adversarial loss: 1.323683, acc: 0.140625] 36602: [discriminator loss: 0.509997, acc: 0.750000] [adversarial loss: 1.495641, acc: 0.187500] 36603: [discriminator loss: 0.567517, acc: 0.726562] [adversarial loss: 0.909488, acc: 0.468750] 36604: [discriminator loss: 0.594022, acc: 0.656250] [adversarial loss: 1.714813, acc: 0.062500] 36605: [discriminator loss: 0.596009, acc: 0.664062] [adversarial loss: 1.039179, acc: 0.359375] 36606: [discriminator loss: 0.527476, acc: 0.765625] [adversarial loss: 1.609077, acc: 0.125000] 36607: [discriminator loss: 0.463626, acc: 0.789062] [adversarial loss: 1.352232, acc: 0.171875] 36608: [discriminator loss: 0.473998, acc: 0.820312] [adversarial loss: 1.261749, acc: 0.234375] 36609: [discriminator loss: 0.485555, acc: 0.750000] [adversarial loss: 1.568611, acc: 0.140625] 36610: [discriminator loss: 0.557122, acc: 0.726562] [adversarial loss: 1.212526, acc: 0.234375] 36611: [discriminator loss: 0.439435, acc: 0.812500] [adversarial loss: 1.463015, acc: 0.187500] 36612: [discriminator loss: 0.500615, acc: 0.742188] [adversarial loss: 1.426170, acc: 0.109375] 36613: [discriminator loss: 0.485894, acc: 0.765625] [adversarial loss: 1.188035, acc: 0.234375] 36614: [discriminator loss: 0.487061, acc: 0.781250] [adversarial loss: 1.121300, acc: 0.328125] 36615: [discriminator loss: 0.506075, acc: 0.695312] [adversarial loss: 1.524650, acc: 0.156250] 36616: [discriminator loss: 0.530890, acc: 0.742188] [adversarial loss: 1.437948, acc: 0.250000] 36617: [discriminator loss: 0.482568, acc: 0.765625] [adversarial loss: 1.131033, acc: 0.328125] 36618: [discriminator loss: 0.520727, acc: 0.765625] [adversarial loss: 1.222333, acc: 0.375000] 36619: [discriminator loss: 0.501369, acc: 0.726562] [adversarial loss: 1.008117, acc: 0.390625] 36620: [discriminator loss: 0.506701, acc: 0.750000] [adversarial loss: 1.754605, acc: 0.109375] 36621: [discriminator loss: 0.506178, acc: 0.773438] [adversarial loss: 0.942238, acc: 0.437500] 36622: [discriminator loss: 0.527677, acc: 0.789062] [adversarial loss: 1.529405, acc: 0.125000] 36623: [discriminator loss: 0.544923, acc: 0.765625] [adversarial loss: 1.011995, acc: 0.390625] 36624: [discriminator loss: 0.539827, acc: 0.671875] [adversarial loss: 1.666771, acc: 0.093750] 36625: [discriminator loss: 0.543392, acc: 0.703125] [adversarial loss: 0.981468, acc: 0.406250] 36626: [discriminator loss: 0.499429, acc: 0.757812] [adversarial loss: 1.107299, acc: 0.343750] 36627: [discriminator loss: 0.520510, acc: 0.734375] [adversarial loss: 1.460132, acc: 0.250000] 36628: [discriminator loss: 0.545598, acc: 0.695312] [adversarial loss: 1.100997, acc: 0.312500] 36629: [discriminator loss: 0.577092, acc: 0.734375] [adversarial loss: 1.778382, acc: 0.156250] 36630: [discriminator loss: 0.472826, acc: 0.757812] [adversarial loss: 1.139707, acc: 0.250000] 36631: [discriminator loss: 0.499987, acc: 0.765625] [adversarial loss: 1.705243, acc: 0.140625] 36632: [discriminator loss: 0.553707, acc: 0.734375] [adversarial loss: 1.235720, acc: 0.343750] 36633: [discriminator loss: 0.494641, acc: 0.773438] [adversarial loss: 1.499736, acc: 0.156250] 36634: [discriminator loss: 0.502744, acc: 0.734375] [adversarial loss: 1.208129, acc: 0.265625] 36635: [discriminator loss: 0.507552, acc: 0.710938] [adversarial loss: 1.598568, acc: 0.171875] 36636: [discriminator loss: 0.554129, acc: 0.695312] [adversarial loss: 1.024156, acc: 0.328125] 36637: [discriminator loss: 0.458782, acc: 0.734375] [adversarial loss: 1.650947, acc: 0.187500] 36638: [discriminator loss: 0.605114, acc: 0.679688] [adversarial loss: 0.930538, acc: 0.421875] 36639: [discriminator loss: 0.572417, acc: 0.734375] [adversarial loss: 1.805689, acc: 0.125000] 36640: [discriminator loss: 0.577003, acc: 0.679688] [adversarial loss: 0.907386, acc: 0.484375] 36641: [discriminator loss: 0.585187, acc: 0.664062] [adversarial loss: 1.587401, acc: 0.156250] 36642: [discriminator loss: 0.514257, acc: 0.726562] [adversarial loss: 1.365328, acc: 0.171875] 36643: [discriminator loss: 0.558304, acc: 0.703125] [adversarial loss: 1.401443, acc: 0.109375] 36644: [discriminator loss: 0.481070, acc: 0.710938] [adversarial loss: 1.401614, acc: 0.171875] 36645: [discriminator loss: 0.397224, acc: 0.843750] [adversarial loss: 1.229569, acc: 0.281250] 36646: [discriminator loss: 0.505752, acc: 0.734375] [adversarial loss: 1.640770, acc: 0.171875] 36647: [discriminator loss: 0.571214, acc: 0.679688] [adversarial loss: 1.073823, acc: 0.375000] 36648: [discriminator loss: 0.447242, acc: 0.812500] [adversarial loss: 1.467950, acc: 0.171875] 36649: [discriminator loss: 0.510302, acc: 0.742188] [adversarial loss: 0.922235, acc: 0.484375] 36650: [discriminator loss: 0.486118, acc: 0.781250] [adversarial loss: 1.478377, acc: 0.109375] 36651: [discriminator loss: 0.559183, acc: 0.718750] [adversarial loss: 0.911492, acc: 0.484375] 36652: [discriminator loss: 0.559195, acc: 0.703125] [adversarial loss: 1.371826, acc: 0.250000] 36653: [discriminator loss: 0.438469, acc: 0.789062] [adversarial loss: 0.853285, acc: 0.484375] 36654: [discriminator loss: 0.474232, acc: 0.765625] [adversarial loss: 1.685934, acc: 0.046875] 36655: [discriminator loss: 0.539889, acc: 0.679688] [adversarial loss: 0.802682, acc: 0.531250] 36656: [discriminator loss: 0.493325, acc: 0.781250] [adversarial loss: 1.603738, acc: 0.187500] 36657: [discriminator loss: 0.535639, acc: 0.703125] [adversarial loss: 0.865806, acc: 0.546875] 36658: [discriminator loss: 0.521100, acc: 0.734375] [adversarial loss: 1.581190, acc: 0.125000] 36659: [discriminator loss: 0.495043, acc: 0.742188] [adversarial loss: 1.006348, acc: 0.343750] 36660: [discriminator loss: 0.466162, acc: 0.750000] [adversarial loss: 1.214204, acc: 0.265625] 36661: [discriminator loss: 0.481515, acc: 0.796875] [adversarial loss: 1.283836, acc: 0.187500] 36662: [discriminator loss: 0.444949, acc: 0.812500] [adversarial loss: 1.302204, acc: 0.234375] 36663: [discriminator loss: 0.496662, acc: 0.773438] [adversarial loss: 1.356923, acc: 0.234375] 36664: [discriminator loss: 0.419055, acc: 0.843750] [adversarial loss: 1.210501, acc: 0.406250] 36665: [discriminator loss: 0.491647, acc: 0.773438] [adversarial loss: 1.359211, acc: 0.281250] 36666: [discriminator loss: 0.543302, acc: 0.718750] [adversarial loss: 1.060248, acc: 0.281250] 36667: [discriminator loss: 0.495611, acc: 0.781250] [adversarial loss: 1.569724, acc: 0.109375] 36668: [discriminator loss: 0.524150, acc: 0.718750] [adversarial loss: 0.865553, acc: 0.468750] 36669: [discriminator loss: 0.516999, acc: 0.757812] [adversarial loss: 1.703300, acc: 0.125000] 36670: [discriminator loss: 0.559277, acc: 0.718750] [adversarial loss: 1.109062, acc: 0.359375] 36671: [discriminator loss: 0.582466, acc: 0.664062] [adversarial loss: 1.439743, acc: 0.156250] 36672: [discriminator loss: 0.471914, acc: 0.750000] [adversarial loss: 1.049681, acc: 0.312500] 36673: [discriminator loss: 0.484057, acc: 0.765625] [adversarial loss: 1.391286, acc: 0.203125] 36674: [discriminator loss: 0.499377, acc: 0.757812] [adversarial loss: 0.751697, acc: 0.578125] 36675: [discriminator loss: 0.599075, acc: 0.695312] [adversarial loss: 1.916271, acc: 0.078125] 36676: [discriminator loss: 0.586236, acc: 0.710938] [adversarial loss: 0.872808, acc: 0.515625] 36677: [discriminator loss: 0.520727, acc: 0.734375] [adversarial loss: 1.652922, acc: 0.125000] 36678: [discriminator loss: 0.470934, acc: 0.765625] [adversarial loss: 1.089957, acc: 0.296875] 36679: [discriminator loss: 0.414931, acc: 0.843750] [adversarial loss: 1.245215, acc: 0.265625] 36680: [discriminator loss: 0.522064, acc: 0.765625] [adversarial loss: 1.627917, acc: 0.187500] 36681: [discriminator loss: 0.408008, acc: 0.812500] [adversarial loss: 1.444296, acc: 0.218750] 36682: [discriminator loss: 0.460081, acc: 0.796875] [adversarial loss: 1.613830, acc: 0.062500] 36683: [discriminator loss: 0.537285, acc: 0.726562] [adversarial loss: 1.049683, acc: 0.421875] 36684: [discriminator loss: 0.436928, acc: 0.789062] [adversarial loss: 1.524061, acc: 0.218750] 36685: [discriminator loss: 0.466952, acc: 0.773438] [adversarial loss: 1.196603, acc: 0.328125] 36686: [discriminator loss: 0.475786, acc: 0.742188] [adversarial loss: 1.925044, acc: 0.078125] 36687: [discriminator loss: 0.478997, acc: 0.765625] [adversarial loss: 1.185219, acc: 0.312500] 36688: [discriminator loss: 0.478982, acc: 0.796875] [adversarial loss: 1.767194, acc: 0.140625] 36689: [discriminator loss: 0.518954, acc: 0.742188] [adversarial loss: 1.093302, acc: 0.390625] 36690: [discriminator loss: 0.500695, acc: 0.750000] [adversarial loss: 1.450061, acc: 0.218750] 36691: [discriminator loss: 0.548305, acc: 0.664062] [adversarial loss: 1.159524, acc: 0.296875] 36692: [discriminator loss: 0.492495, acc: 0.726562] [adversarial loss: 1.462161, acc: 0.234375] 36693: [discriminator loss: 0.484551, acc: 0.757812] [adversarial loss: 1.549002, acc: 0.203125] 36694: [discriminator loss: 0.468009, acc: 0.742188] [adversarial loss: 1.139177, acc: 0.328125] 36695: [discriminator loss: 0.542014, acc: 0.710938] [adversarial loss: 1.838767, acc: 0.125000] 36696: [discriminator loss: 0.537453, acc: 0.703125] [adversarial loss: 1.089721, acc: 0.359375] 36697: [discriminator loss: 0.563093, acc: 0.695312] [adversarial loss: 1.693061, acc: 0.093750] 36698: [discriminator loss: 0.546486, acc: 0.671875] [adversarial loss: 1.495109, acc: 0.109375] 36699: [discriminator loss: 0.525949, acc: 0.734375] [adversarial loss: 1.077915, acc: 0.359375] 36700: [discriminator loss: 0.528847, acc: 0.742188] [adversarial loss: 1.492849, acc: 0.171875] 36701: [discriminator loss: 0.544291, acc: 0.742188] [adversarial loss: 0.944419, acc: 0.484375] 36702: [discriminator loss: 0.601292, acc: 0.648438] [adversarial loss: 1.637923, acc: 0.125000] 36703: [discriminator loss: 0.561791, acc: 0.671875] [adversarial loss: 0.779261, acc: 0.546875] 36704: [discriminator loss: 0.462373, acc: 0.765625] [adversarial loss: 1.792014, acc: 0.093750] 36705: [discriminator loss: 0.555436, acc: 0.703125] [adversarial loss: 1.064425, acc: 0.359375] 36706: [discriminator loss: 0.511018, acc: 0.734375] [adversarial loss: 1.268852, acc: 0.296875] 36707: [discriminator loss: 0.444972, acc: 0.773438] [adversarial loss: 1.068910, acc: 0.281250] 36708: [discriminator loss: 0.521856, acc: 0.757812] [adversarial loss: 1.673129, acc: 0.125000] 36709: [discriminator loss: 0.472832, acc: 0.750000] [adversarial loss: 1.110769, acc: 0.328125] 36710: [discriminator loss: 0.520075, acc: 0.718750] [adversarial loss: 1.742102, acc: 0.125000] 36711: [discriminator loss: 0.514003, acc: 0.726562] [adversarial loss: 1.000963, acc: 0.328125] 36712: [discriminator loss: 0.458852, acc: 0.820312] [adversarial loss: 1.200546, acc: 0.296875] 36713: [discriminator loss: 0.458567, acc: 0.781250] [adversarial loss: 1.157529, acc: 0.296875] 36714: [discriminator loss: 0.550340, acc: 0.718750] [adversarial loss: 1.064655, acc: 0.343750] 36715: [discriminator loss: 0.462175, acc: 0.757812] [adversarial loss: 1.456010, acc: 0.187500] 36716: [discriminator loss: 0.553577, acc: 0.703125] [adversarial loss: 1.314514, acc: 0.250000] 36717: [discriminator loss: 0.450327, acc: 0.804688] [adversarial loss: 1.134979, acc: 0.390625] 36718: [discriminator loss: 0.543066, acc: 0.710938] [adversarial loss: 1.466848, acc: 0.187500] 36719: [discriminator loss: 0.494141, acc: 0.765625] [adversarial loss: 1.223720, acc: 0.234375] 36720: [discriminator loss: 0.535584, acc: 0.679688] [adversarial loss: 1.843268, acc: 0.093750] 36721: [discriminator loss: 0.598370, acc: 0.640625] [adversarial loss: 0.778937, acc: 0.500000] 36722: [discriminator loss: 0.608337, acc: 0.695312] [adversarial loss: 2.028970, acc: 0.062500] 36723: [discriminator loss: 0.542221, acc: 0.703125] [adversarial loss: 1.143883, acc: 0.328125] 36724: [discriminator loss: 0.560295, acc: 0.679688] [adversarial loss: 1.385461, acc: 0.187500] 36725: [discriminator loss: 0.485527, acc: 0.765625] [adversarial loss: 1.674948, acc: 0.093750] 36726: [discriminator loss: 0.534247, acc: 0.757812] [adversarial loss: 1.381963, acc: 0.218750] 36727: [discriminator loss: 0.554033, acc: 0.695312] [adversarial loss: 1.205960, acc: 0.296875] 36728: [discriminator loss: 0.535315, acc: 0.703125] [adversarial loss: 1.403325, acc: 0.250000] 36729: [discriminator loss: 0.495787, acc: 0.750000] [adversarial loss: 1.017908, acc: 0.484375] 36730: [discriminator loss: 0.490644, acc: 0.742188] [adversarial loss: 1.474615, acc: 0.140625] 36731: [discriminator loss: 0.463947, acc: 0.781250] [adversarial loss: 1.165170, acc: 0.296875] 36732: [discriminator loss: 0.473782, acc: 0.750000] [adversarial loss: 1.383913, acc: 0.234375] 36733: [discriminator loss: 0.535191, acc: 0.765625] [adversarial loss: 1.277204, acc: 0.171875] 36734: [discriminator loss: 0.546639, acc: 0.710938] [adversarial loss: 0.842429, acc: 0.468750] 36735: [discriminator loss: 0.531987, acc: 0.718750] [adversarial loss: 1.790807, acc: 0.093750] 36736: [discriminator loss: 0.561065, acc: 0.710938] [adversarial loss: 0.862502, acc: 0.437500] 36737: [discriminator loss: 0.595261, acc: 0.710938] [adversarial loss: 1.638067, acc: 0.062500] 36738: [discriminator loss: 0.549258, acc: 0.703125] [adversarial loss: 0.936409, acc: 0.468750] 36739: [discriminator loss: 0.509533, acc: 0.773438] [adversarial loss: 1.810996, acc: 0.109375] 36740: [discriminator loss: 0.523240, acc: 0.703125] [adversarial loss: 1.173517, acc: 0.343750] 36741: [discriminator loss: 0.447942, acc: 0.804688] [adversarial loss: 1.581324, acc: 0.156250] 36742: [discriminator loss: 0.516210, acc: 0.710938] [adversarial loss: 1.215817, acc: 0.234375] 36743: [discriminator loss: 0.437112, acc: 0.789062] [adversarial loss: 1.718071, acc: 0.125000] 36744: [discriminator loss: 0.535572, acc: 0.703125] [adversarial loss: 1.006092, acc: 0.390625] 36745: [discriminator loss: 0.496603, acc: 0.750000] [adversarial loss: 1.448168, acc: 0.125000] 36746: [discriminator loss: 0.560784, acc: 0.687500] [adversarial loss: 1.057901, acc: 0.390625] 36747: [discriminator loss: 0.531460, acc: 0.742188] [adversarial loss: 1.501902, acc: 0.234375] 36748: [discriminator loss: 0.536370, acc: 0.695312] [adversarial loss: 1.042692, acc: 0.328125] 36749: [discriminator loss: 0.484410, acc: 0.773438] [adversarial loss: 1.412039, acc: 0.250000] 36750: [discriminator loss: 0.496236, acc: 0.718750] [adversarial loss: 0.997471, acc: 0.468750] 36751: [discriminator loss: 0.536498, acc: 0.734375] [adversarial loss: 1.577894, acc: 0.093750] 36752: [discriminator loss: 0.569699, acc: 0.695312] [adversarial loss: 1.187276, acc: 0.406250] 36753: [discriminator loss: 0.416471, acc: 0.812500] [adversarial loss: 1.634795, acc: 0.171875] 36754: [discriminator loss: 0.518817, acc: 0.734375] [adversarial loss: 1.039381, acc: 0.359375] 36755: [discriminator loss: 0.555044, acc: 0.687500] [adversarial loss: 1.398952, acc: 0.156250] 36756: [discriminator loss: 0.515196, acc: 0.710938] [adversarial loss: 0.978502, acc: 0.359375] 36757: [discriminator loss: 0.579311, acc: 0.710938] [adversarial loss: 1.419924, acc: 0.156250] 36758: [discriminator loss: 0.461113, acc: 0.734375] [adversarial loss: 0.984770, acc: 0.468750] 36759: [discriminator loss: 0.414645, acc: 0.828125] [adversarial loss: 1.325074, acc: 0.250000] 36760: [discriminator loss: 0.542333, acc: 0.710938] [adversarial loss: 1.164926, acc: 0.328125] 36761: [discriminator loss: 0.422948, acc: 0.789062] [adversarial loss: 1.397704, acc: 0.156250] 36762: [discriminator loss: 0.527734, acc: 0.695312] [adversarial loss: 1.012161, acc: 0.375000] 36763: [discriminator loss: 0.560104, acc: 0.734375] [adversarial loss: 1.747871, acc: 0.125000] 36764: [discriminator loss: 0.570369, acc: 0.679688] [adversarial loss: 0.798188, acc: 0.484375] 36765: [discriminator loss: 0.624657, acc: 0.656250] [adversarial loss: 1.692236, acc: 0.125000] 36766: [discriminator loss: 0.570839, acc: 0.687500] [adversarial loss: 0.899086, acc: 0.515625] 36767: [discriminator loss: 0.609824, acc: 0.703125] [adversarial loss: 1.415232, acc: 0.156250] 36768: [discriminator loss: 0.551509, acc: 0.710938] [adversarial loss: 1.026086, acc: 0.328125] 36769: [discriminator loss: 0.483636, acc: 0.765625] [adversarial loss: 1.280933, acc: 0.218750] 36770: [discriminator loss: 0.547635, acc: 0.718750] [adversarial loss: 1.091292, acc: 0.343750] 36771: [discriminator loss: 0.454216, acc: 0.820312] [adversarial loss: 0.988785, acc: 0.406250] 36772: [discriminator loss: 0.465255, acc: 0.781250] [adversarial loss: 1.280774, acc: 0.187500] 36773: [discriminator loss: 0.433017, acc: 0.804688] [adversarial loss: 1.178588, acc: 0.281250] 36774: [discriminator loss: 0.543341, acc: 0.695312] [adversarial loss: 1.286406, acc: 0.140625] 36775: [discriminator loss: 0.481490, acc: 0.781250] [adversarial loss: 0.934487, acc: 0.453125] 36776: [discriminator loss: 0.467823, acc: 0.781250] [adversarial loss: 1.284175, acc: 0.312500] 36777: [discriminator loss: 0.499422, acc: 0.789062] [adversarial loss: 0.948692, acc: 0.406250] 36778: [discriminator loss: 0.508278, acc: 0.742188] [adversarial loss: 1.407944, acc: 0.156250] 36779: [discriminator loss: 0.510118, acc: 0.718750] [adversarial loss: 1.065456, acc: 0.359375] 36780: [discriminator loss: 0.486762, acc: 0.765625] [adversarial loss: 1.659866, acc: 0.125000] 36781: [discriminator loss: 0.515317, acc: 0.757812] [adversarial loss: 0.870902, acc: 0.453125] 36782: [discriminator loss: 0.538195, acc: 0.718750] [adversarial loss: 1.684497, acc: 0.109375] 36783: [discriminator loss: 0.497253, acc: 0.773438] [adversarial loss: 1.070654, acc: 0.375000] 36784: [discriminator loss: 0.544310, acc: 0.703125] [adversarial loss: 1.391162, acc: 0.250000] 36785: [discriminator loss: 0.485270, acc: 0.796875] [adversarial loss: 1.252611, acc: 0.281250] 36786: [discriminator loss: 0.503397, acc: 0.773438] [adversarial loss: 1.247098, acc: 0.296875] 36787: [discriminator loss: 0.538085, acc: 0.710938] [adversarial loss: 1.587300, acc: 0.187500] 36788: [discriminator loss: 0.494757, acc: 0.726562] [adversarial loss: 0.718274, acc: 0.640625] 36789: [discriminator loss: 0.528300, acc: 0.718750] [adversarial loss: 1.841436, acc: 0.125000] 36790: [discriminator loss: 0.509597, acc: 0.726562] [adversarial loss: 1.202840, acc: 0.359375] 36791: [discriminator loss: 0.486542, acc: 0.796875] [adversarial loss: 1.485472, acc: 0.171875] 36792: [discriminator loss: 0.478348, acc: 0.773438] [adversarial loss: 1.176126, acc: 0.281250] 36793: [discriminator loss: 0.506211, acc: 0.734375] [adversarial loss: 1.385384, acc: 0.203125] 36794: [discriminator loss: 0.527479, acc: 0.718750] [adversarial loss: 1.028661, acc: 0.453125] 36795: [discriminator loss: 0.540369, acc: 0.695312] [adversarial loss: 1.668906, acc: 0.125000] 36796: [discriminator loss: 0.637837, acc: 0.664062] [adversarial loss: 0.993146, acc: 0.421875] 36797: [discriminator loss: 0.519241, acc: 0.710938] [adversarial loss: 1.842564, acc: 0.093750] 36798: [discriminator loss: 0.563618, acc: 0.703125] [adversarial loss: 0.861081, acc: 0.484375] 36799: [discriminator loss: 0.634686, acc: 0.695312] [adversarial loss: 1.592417, acc: 0.109375] 36800: [discriminator loss: 0.529004, acc: 0.734375] [adversarial loss: 1.120685, acc: 0.312500] 36801: [discriminator loss: 0.501022, acc: 0.757812] [adversarial loss: 1.309558, acc: 0.281250] 36802: [discriminator loss: 0.502592, acc: 0.710938] [adversarial loss: 1.163716, acc: 0.343750] 36803: [discriminator loss: 0.473365, acc: 0.773438] [adversarial loss: 1.534237, acc: 0.218750] 36804: [discriminator loss: 0.480667, acc: 0.750000] [adversarial loss: 1.116289, acc: 0.250000] 36805: [discriminator loss: 0.457280, acc: 0.789062] [adversarial loss: 1.197950, acc: 0.296875] 36806: [discriminator loss: 0.454408, acc: 0.781250] [adversarial loss: 1.248122, acc: 0.328125] 36807: [discriminator loss: 0.485333, acc: 0.757812] [adversarial loss: 1.330555, acc: 0.296875] 36808: [discriminator loss: 0.533851, acc: 0.742188] [adversarial loss: 0.870237, acc: 0.484375] 36809: [discriminator loss: 0.533066, acc: 0.734375] [adversarial loss: 1.778835, acc: 0.156250] 36810: [discriminator loss: 0.495834, acc: 0.765625] [adversarial loss: 1.019273, acc: 0.437500] 36811: [discriminator loss: 0.495849, acc: 0.765625] [adversarial loss: 1.807064, acc: 0.093750] 36812: [discriminator loss: 0.576155, acc: 0.671875] [adversarial loss: 0.857974, acc: 0.531250] 36813: [discriminator loss: 0.589973, acc: 0.648438] [adversarial loss: 1.808479, acc: 0.046875] 36814: [discriminator loss: 0.510438, acc: 0.765625] [adversarial loss: 1.075150, acc: 0.343750] 36815: [discriminator loss: 0.536806, acc: 0.726562] [adversarial loss: 1.345185, acc: 0.218750] 36816: [discriminator loss: 0.516265, acc: 0.734375] [adversarial loss: 1.350670, acc: 0.250000] 36817: [discriminator loss: 0.506419, acc: 0.765625] [adversarial loss: 1.135111, acc: 0.312500] 36818: [discriminator loss: 0.467050, acc: 0.804688] [adversarial loss: 1.318070, acc: 0.281250] 36819: [discriminator loss: 0.551267, acc: 0.703125] [adversarial loss: 1.356451, acc: 0.281250] 36820: [discriminator loss: 0.572218, acc: 0.679688] [adversarial loss: 1.000850, acc: 0.500000] 36821: [discriminator loss: 0.481616, acc: 0.773438] [adversarial loss: 1.331129, acc: 0.234375] 36822: [discriminator loss: 0.532689, acc: 0.734375] [adversarial loss: 1.005905, acc: 0.390625] 36823: [discriminator loss: 0.520211, acc: 0.750000] [adversarial loss: 1.255233, acc: 0.218750] 36824: [discriminator loss: 0.413491, acc: 0.812500] [adversarial loss: 1.317509, acc: 0.265625] 36825: [discriminator loss: 0.509669, acc: 0.773438] [adversarial loss: 1.609872, acc: 0.140625] 36826: [discriminator loss: 0.447537, acc: 0.773438] [adversarial loss: 1.286299, acc: 0.281250] 36827: [discriminator loss: 0.535603, acc: 0.718750] [adversarial loss: 1.529487, acc: 0.140625] 36828: [discriminator loss: 0.505671, acc: 0.734375] [adversarial loss: 0.935359, acc: 0.437500] 36829: [discriminator loss: 0.580048, acc: 0.671875] [adversarial loss: 1.981337, acc: 0.109375] 36830: [discriminator loss: 0.605313, acc: 0.664062] [adversarial loss: 0.842739, acc: 0.515625] 36831: [discriminator loss: 0.574309, acc: 0.710938] [adversarial loss: 1.514559, acc: 0.140625] 36832: [discriminator loss: 0.525699, acc: 0.726562] [adversarial loss: 1.307490, acc: 0.171875] 36833: [discriminator loss: 0.553307, acc: 0.664062] [adversarial loss: 1.492055, acc: 0.156250] 36834: [discriminator loss: 0.514217, acc: 0.750000] [adversarial loss: 1.251569, acc: 0.281250] 36835: [discriminator loss: 0.565959, acc: 0.664062] [adversarial loss: 1.424185, acc: 0.234375] 36836: [discriminator loss: 0.504613, acc: 0.765625] [adversarial loss: 1.326362, acc: 0.250000] 36837: [discriminator loss: 0.584423, acc: 0.703125] [adversarial loss: 1.720745, acc: 0.046875] 36838: [discriminator loss: 0.509996, acc: 0.750000] [adversarial loss: 0.915034, acc: 0.468750] 36839: [discriminator loss: 0.535194, acc: 0.726562] [adversarial loss: 1.407650, acc: 0.203125] 36840: [discriminator loss: 0.482428, acc: 0.773438] [adversarial loss: 1.106941, acc: 0.281250] 36841: [discriminator loss: 0.400182, acc: 0.843750] [adversarial loss: 1.299357, acc: 0.171875] 36842: [discriminator loss: 0.475111, acc: 0.757812] [adversarial loss: 1.287675, acc: 0.234375] 36843: [discriminator loss: 0.541097, acc: 0.695312] [adversarial loss: 1.530699, acc: 0.125000] 36844: [discriminator loss: 0.475802, acc: 0.781250] [adversarial loss: 1.311685, acc: 0.218750] 36845: [discriminator loss: 0.487459, acc: 0.687500] [adversarial loss: 1.431159, acc: 0.171875] 36846: [discriminator loss: 0.427371, acc: 0.812500] [adversarial loss: 1.264887, acc: 0.265625] 36847: [discriminator loss: 0.536121, acc: 0.734375] [adversarial loss: 1.412166, acc: 0.125000] 36848: [discriminator loss: 0.506949, acc: 0.734375] [adversarial loss: 1.301218, acc: 0.250000] 36849: [discriminator loss: 0.446232, acc: 0.851562] [adversarial loss: 1.392879, acc: 0.187500] 36850: [discriminator loss: 0.512451, acc: 0.710938] [adversarial loss: 1.358888, acc: 0.203125] 36851: [discriminator loss: 0.523202, acc: 0.734375] [adversarial loss: 0.951052, acc: 0.484375] 36852: [discriminator loss: 0.561258, acc: 0.718750] [adversarial loss: 1.390347, acc: 0.218750] 36853: [discriminator loss: 0.525496, acc: 0.718750] [adversarial loss: 1.044543, acc: 0.437500] 36854: [discriminator loss: 0.529878, acc: 0.742188] [adversarial loss: 1.521898, acc: 0.140625] 36855: [discriminator loss: 0.525247, acc: 0.757812] [adversarial loss: 1.216696, acc: 0.234375] 36856: [discriminator loss: 0.499537, acc: 0.765625] [adversarial loss: 1.178258, acc: 0.328125] 36857: [discriminator loss: 0.496625, acc: 0.757812] [adversarial loss: 1.139436, acc: 0.281250] 36858: [discriminator loss: 0.515290, acc: 0.726562] [adversarial loss: 2.050344, acc: 0.031250] 36859: [discriminator loss: 0.579255, acc: 0.742188] [adversarial loss: 0.865325, acc: 0.484375] 36860: [discriminator loss: 0.531454, acc: 0.710938] [adversarial loss: 1.851775, acc: 0.093750] 36861: [discriminator loss: 0.573548, acc: 0.671875] [adversarial loss: 0.955854, acc: 0.453125] 36862: [discriminator loss: 0.510589, acc: 0.750000] [adversarial loss: 2.083345, acc: 0.062500] 36863: [discriminator loss: 0.582878, acc: 0.703125] [adversarial loss: 0.952133, acc: 0.359375] 36864: [discriminator loss: 0.516113, acc: 0.742188] [adversarial loss: 1.802135, acc: 0.078125] 36865: [discriminator loss: 0.520487, acc: 0.718750] [adversarial loss: 0.892264, acc: 0.468750] 36866: [discriminator loss: 0.481194, acc: 0.773438] [adversarial loss: 1.457345, acc: 0.109375] 36867: [discriminator loss: 0.511916, acc: 0.710938] [adversarial loss: 1.048007, acc: 0.281250] 36868: [discriminator loss: 0.464170, acc: 0.750000] [adversarial loss: 1.462169, acc: 0.140625] 36869: [discriminator loss: 0.504774, acc: 0.757812] [adversarial loss: 1.030524, acc: 0.390625] 36870: [discriminator loss: 0.542488, acc: 0.703125] [adversarial loss: 1.439147, acc: 0.156250] 36871: [discriminator loss: 0.581975, acc: 0.656250] [adversarial loss: 1.536122, acc: 0.140625] 36872: [discriminator loss: 0.498431, acc: 0.750000] [adversarial loss: 1.049088, acc: 0.406250] 36873: [discriminator loss: 0.532373, acc: 0.710938] [adversarial loss: 1.550891, acc: 0.171875] 36874: [discriminator loss: 0.515461, acc: 0.710938] [adversarial loss: 1.016483, acc: 0.375000] 36875: [discriminator loss: 0.482459, acc: 0.734375] [adversarial loss: 1.283359, acc: 0.203125] 36876: [discriminator loss: 0.522414, acc: 0.726562] [adversarial loss: 1.547689, acc: 0.171875] 36877: [discriminator loss: 0.495205, acc: 0.734375] [adversarial loss: 1.148580, acc: 0.281250] 36878: [discriminator loss: 0.528353, acc: 0.710938] [adversarial loss: 1.808741, acc: 0.078125] 36879: [discriminator loss: 0.543705, acc: 0.734375] [adversarial loss: 0.831553, acc: 0.484375] 36880: [discriminator loss: 0.609204, acc: 0.687500] [adversarial loss: 1.621322, acc: 0.140625] 36881: [discriminator loss: 0.544963, acc: 0.703125] [adversarial loss: 1.139946, acc: 0.312500] 36882: [discriminator loss: 0.469943, acc: 0.742188] [adversarial loss: 1.784488, acc: 0.062500] 36883: [discriminator loss: 0.507891, acc: 0.789062] [adversarial loss: 0.990627, acc: 0.375000] 36884: [discriminator loss: 0.526391, acc: 0.734375] [adversarial loss: 1.361022, acc: 0.140625] 36885: [discriminator loss: 0.498376, acc: 0.718750] [adversarial loss: 1.035300, acc: 0.359375] 36886: [discriminator loss: 0.488641, acc: 0.757812] [adversarial loss: 1.365726, acc: 0.187500] 36887: [discriminator loss: 0.512885, acc: 0.703125] [adversarial loss: 1.452989, acc: 0.171875] 36888: [discriminator loss: 0.523017, acc: 0.726562] [adversarial loss: 1.408588, acc: 0.234375] 36889: [discriminator loss: 0.516392, acc: 0.757812] [adversarial loss: 1.565533, acc: 0.156250] 36890: [discriminator loss: 0.561604, acc: 0.718750] [adversarial loss: 1.365251, acc: 0.171875] 36891: [discriminator loss: 0.477210, acc: 0.781250] [adversarial loss: 1.118039, acc: 0.390625] 36892: [discriminator loss: 0.553728, acc: 0.687500] [adversarial loss: 1.687514, acc: 0.156250] 36893: [discriminator loss: 0.538096, acc: 0.734375] [adversarial loss: 0.969565, acc: 0.468750] 36894: [discriminator loss: 0.474697, acc: 0.781250] [adversarial loss: 1.816534, acc: 0.093750] 36895: [discriminator loss: 0.537424, acc: 0.679688] [adversarial loss: 1.043467, acc: 0.375000] 36896: [discriminator loss: 0.559963, acc: 0.726562] [adversarial loss: 1.906302, acc: 0.078125] 36897: [discriminator loss: 0.547011, acc: 0.679688] [adversarial loss: 0.972036, acc: 0.390625] 36898: [discriminator loss: 0.452644, acc: 0.789062] [adversarial loss: 1.561654, acc: 0.109375] 36899: [discriminator loss: 0.493211, acc: 0.757812] [adversarial loss: 1.062315, acc: 0.296875] 36900: [discriminator loss: 0.462227, acc: 0.750000] [adversarial loss: 1.296105, acc: 0.328125] 36901: [discriminator loss: 0.503557, acc: 0.726562] [adversarial loss: 1.428821, acc: 0.140625] 36902: [discriminator loss: 0.487941, acc: 0.750000] [adversarial loss: 1.235142, acc: 0.281250] 36903: [discriminator loss: 0.472210, acc: 0.750000] [adversarial loss: 1.583934, acc: 0.187500] 36904: [discriminator loss: 0.457741, acc: 0.812500] [adversarial loss: 1.555914, acc: 0.078125] 36905: [discriminator loss: 0.485905, acc: 0.812500] [adversarial loss: 1.494619, acc: 0.187500] 36906: [discriminator loss: 0.493960, acc: 0.718750] [adversarial loss: 1.619933, acc: 0.109375] 36907: [discriminator loss: 0.522583, acc: 0.718750] [adversarial loss: 1.567938, acc: 0.218750] 36908: [discriminator loss: 0.532670, acc: 0.742188] [adversarial loss: 1.240389, acc: 0.250000] 36909: [discriminator loss: 0.479453, acc: 0.828125] [adversarial loss: 1.367741, acc: 0.171875] 36910: [discriminator loss: 0.502128, acc: 0.742188] [adversarial loss: 1.539996, acc: 0.140625] 36911: [discriminator loss: 0.502054, acc: 0.757812] [adversarial loss: 1.017206, acc: 0.390625] 36912: [discriminator loss: 0.564952, acc: 0.703125] [adversarial loss: 1.684235, acc: 0.125000] 36913: [discriminator loss: 0.464353, acc: 0.757812] [adversarial loss: 1.141216, acc: 0.421875] 36914: [discriminator loss: 0.445007, acc: 0.804688] [adversarial loss: 1.412663, acc: 0.234375] 36915: [discriminator loss: 0.486452, acc: 0.773438] [adversarial loss: 1.380422, acc: 0.234375] 36916: [discriminator loss: 0.494370, acc: 0.781250] [adversarial loss: 1.434098, acc: 0.203125] 36917: [discriminator loss: 0.467967, acc: 0.789062] [adversarial loss: 1.198080, acc: 0.281250] 36918: [discriminator loss: 0.495020, acc: 0.781250] [adversarial loss: 1.187688, acc: 0.328125] 36919: [discriminator loss: 0.544839, acc: 0.687500] [adversarial loss: 1.377824, acc: 0.218750] 36920: [discriminator loss: 0.466641, acc: 0.796875] [adversarial loss: 1.502004, acc: 0.125000] 36921: [discriminator loss: 0.527794, acc: 0.726562] [adversarial loss: 1.778454, acc: 0.046875] 36922: [discriminator loss: 0.560356, acc: 0.726562] [adversarial loss: 0.771976, acc: 0.468750] 36923: [discriminator loss: 0.574512, acc: 0.734375] [adversarial loss: 1.787865, acc: 0.140625] 36924: [discriminator loss: 0.577136, acc: 0.671875] [adversarial loss: 0.849372, acc: 0.484375] 36925: [discriminator loss: 0.588838, acc: 0.710938] [adversarial loss: 1.736921, acc: 0.078125] 36926: [discriminator loss: 0.581711, acc: 0.679688] [adversarial loss: 1.105669, acc: 0.312500] 36927: [discriminator loss: 0.548334, acc: 0.750000] [adversarial loss: 1.449378, acc: 0.187500] 36928: [discriminator loss: 0.567421, acc: 0.703125] [adversarial loss: 1.469548, acc: 0.187500] 36929: [discriminator loss: 0.580511, acc: 0.679688] [adversarial loss: 1.193401, acc: 0.265625] 36930: [discriminator loss: 0.464153, acc: 0.765625] [adversarial loss: 1.212014, acc: 0.218750] 36931: [discriminator loss: 0.461280, acc: 0.757812] [adversarial loss: 1.095797, acc: 0.328125] 36932: [discriminator loss: 0.563209, acc: 0.664062] [adversarial loss: 1.517782, acc: 0.109375] 36933: [discriminator loss: 0.491908, acc: 0.757812] [adversarial loss: 1.233365, acc: 0.218750] 36934: [discriminator loss: 0.492509, acc: 0.757812] [adversarial loss: 1.660315, acc: 0.125000] 36935: [discriminator loss: 0.557249, acc: 0.703125] [adversarial loss: 0.967266, acc: 0.406250] 36936: [discriminator loss: 0.552644, acc: 0.710938] [adversarial loss: 1.649896, acc: 0.140625] 36937: [discriminator loss: 0.527080, acc: 0.734375] [adversarial loss: 0.966111, acc: 0.421875] 36938: [discriminator loss: 0.601537, acc: 0.687500] [adversarial loss: 1.840046, acc: 0.062500] 36939: [discriminator loss: 0.564829, acc: 0.695312] [adversarial loss: 1.218827, acc: 0.359375] 36940: [discriminator loss: 0.516290, acc: 0.765625] [adversarial loss: 1.206814, acc: 0.250000] 36941: [discriminator loss: 0.542867, acc: 0.742188] [adversarial loss: 1.242404, acc: 0.312500] 36942: [discriminator loss: 0.523306, acc: 0.750000] [adversarial loss: 1.539250, acc: 0.078125] 36943: [discriminator loss: 0.521887, acc: 0.703125] [adversarial loss: 0.978322, acc: 0.421875] 36944: [discriminator loss: 0.562639, acc: 0.726562] [adversarial loss: 1.563446, acc: 0.171875] 36945: [discriminator loss: 0.471741, acc: 0.789062] [adversarial loss: 1.098711, acc: 0.343750] 36946: [discriminator loss: 0.486392, acc: 0.750000] [adversarial loss: 1.387830, acc: 0.187500] 36947: [discriminator loss: 0.496933, acc: 0.757812] [adversarial loss: 1.484053, acc: 0.203125] 36948: [discriminator loss: 0.408387, acc: 0.812500] [adversarial loss: 1.169723, acc: 0.343750] 36949: [discriminator loss: 0.445478, acc: 0.812500] [adversarial loss: 1.502048, acc: 0.140625] 36950: [discriminator loss: 0.517327, acc: 0.750000] [adversarial loss: 1.362297, acc: 0.250000] 36951: [discriminator loss: 0.413070, acc: 0.804688] [adversarial loss: 1.031536, acc: 0.375000] 36952: [discriminator loss: 0.467839, acc: 0.742188] [adversarial loss: 1.415855, acc: 0.156250] 36953: [discriminator loss: 0.486226, acc: 0.726562] [adversarial loss: 1.209675, acc: 0.281250] 36954: [discriminator loss: 0.481261, acc: 0.773438] [adversarial loss: 1.291389, acc: 0.250000] 36955: [discriminator loss: 0.512196, acc: 0.734375] [adversarial loss: 1.465167, acc: 0.187500] 36956: [discriminator loss: 0.543045, acc: 0.742188] [adversarial loss: 1.091161, acc: 0.421875] 36957: [discriminator loss: 0.509699, acc: 0.726562] [adversarial loss: 1.219817, acc: 0.218750] 36958: [discriminator loss: 0.529498, acc: 0.734375] [adversarial loss: 1.522873, acc: 0.125000] 36959: [discriminator loss: 0.491177, acc: 0.742188] [adversarial loss: 1.058584, acc: 0.343750] 36960: [discriminator loss: 0.468720, acc: 0.773438] [adversarial loss: 1.731460, acc: 0.078125] 36961: [discriminator loss: 0.535547, acc: 0.718750] [adversarial loss: 1.167791, acc: 0.328125] 36962: [discriminator loss: 0.581399, acc: 0.695312] [adversarial loss: 1.542336, acc: 0.203125] 36963: [discriminator loss: 0.534647, acc: 0.695312] [adversarial loss: 0.870642, acc: 0.468750] 36964: [discriminator loss: 0.602322, acc: 0.656250] [adversarial loss: 2.141603, acc: 0.046875] 36965: [discriminator loss: 0.574609, acc: 0.742188] [adversarial loss: 0.807890, acc: 0.546875] 36966: [discriminator loss: 0.486548, acc: 0.765625] [adversarial loss: 1.552855, acc: 0.125000] 36967: [discriminator loss: 0.558146, acc: 0.718750] [adversarial loss: 1.295961, acc: 0.218750] 36968: [discriminator loss: 0.562797, acc: 0.718750] [adversarial loss: 1.319677, acc: 0.171875] 36969: [discriminator loss: 0.579515, acc: 0.687500] [adversarial loss: 1.251700, acc: 0.265625] 36970: [discriminator loss: 0.462760, acc: 0.757812] [adversarial loss: 1.207960, acc: 0.234375] 36971: [discriminator loss: 0.543801, acc: 0.742188] [adversarial loss: 1.208157, acc: 0.234375] 36972: [discriminator loss: 0.539923, acc: 0.687500] [adversarial loss: 1.183258, acc: 0.250000] 36973: [discriminator loss: 0.488704, acc: 0.757812] [adversarial loss: 1.460515, acc: 0.156250] 36974: [discriminator loss: 0.492086, acc: 0.734375] [adversarial loss: 1.171630, acc: 0.343750] 36975: [discriminator loss: 0.516826, acc: 0.734375] [adversarial loss: 1.272696, acc: 0.187500] 36976: [discriminator loss: 0.544126, acc: 0.718750] [adversarial loss: 1.284536, acc: 0.312500] 36977: [discriminator loss: 0.521966, acc: 0.757812] [adversarial loss: 1.549530, acc: 0.156250] 36978: [discriminator loss: 0.465899, acc: 0.773438] [adversarial loss: 1.086357, acc: 0.453125] 36979: [discriminator loss: 0.547713, acc: 0.710938] [adversarial loss: 1.372380, acc: 0.203125] 36980: [discriminator loss: 0.524813, acc: 0.742188] [adversarial loss: 1.067928, acc: 0.437500] 36981: [discriminator loss: 0.449460, acc: 0.781250] [adversarial loss: 1.725861, acc: 0.109375] 36982: [discriminator loss: 0.549008, acc: 0.679688] [adversarial loss: 1.293298, acc: 0.265625] 36983: [discriminator loss: 0.479905, acc: 0.757812] [adversarial loss: 1.291221, acc: 0.265625] 36984: [discriminator loss: 0.440075, acc: 0.804688] [adversarial loss: 1.366722, acc: 0.203125] 36985: [discriminator loss: 0.500649, acc: 0.734375] [adversarial loss: 1.770255, acc: 0.156250] 36986: [discriminator loss: 0.541181, acc: 0.687500] [adversarial loss: 0.959712, acc: 0.421875] 36987: [discriminator loss: 0.626667, acc: 0.695312] [adversarial loss: 2.044836, acc: 0.031250] 36988: [discriminator loss: 0.629876, acc: 0.687500] [adversarial loss: 0.896395, acc: 0.515625] 36989: [discriminator loss: 0.553746, acc: 0.703125] [adversarial loss: 1.437958, acc: 0.187500] 36990: [discriminator loss: 0.471709, acc: 0.750000] [adversarial loss: 1.099001, acc: 0.328125] 36991: [discriminator loss: 0.505174, acc: 0.773438] [adversarial loss: 1.523623, acc: 0.078125] 36992: [discriminator loss: 0.500933, acc: 0.695312] [adversarial loss: 0.876680, acc: 0.437500] 36993: [discriminator loss: 0.557845, acc: 0.695312] [adversarial loss: 1.394340, acc: 0.156250] 36994: [discriminator loss: 0.485811, acc: 0.750000] [adversarial loss: 1.147431, acc: 0.328125] 36995: [discriminator loss: 0.539634, acc: 0.671875] [adversarial loss: 1.527747, acc: 0.203125] 36996: [discriminator loss: 0.525780, acc: 0.695312] [adversarial loss: 0.826464, acc: 0.484375] 36997: [discriminator loss: 0.617619, acc: 0.679688] [adversarial loss: 1.469292, acc: 0.093750] 36998: [discriminator loss: 0.494031, acc: 0.781250] [adversarial loss: 0.965605, acc: 0.437500] 36999: [discriminator loss: 0.490701, acc: 0.750000] [adversarial loss: 1.399040, acc: 0.171875] 37000: [discriminator loss: 0.499308, acc: 0.742188] [adversarial loss: 1.462854, acc: 0.140625] 37001: [discriminator loss: 0.480424, acc: 0.773438] [adversarial loss: 1.130465, acc: 0.265625] 37002: [discriminator loss: 0.456269, acc: 0.804688] [adversarial loss: 1.595757, acc: 0.140625] 37003: [discriminator loss: 0.515912, acc: 0.710938] [adversarial loss: 0.744107, acc: 0.531250] 37004: [discriminator loss: 0.524272, acc: 0.687500] [adversarial loss: 1.862771, acc: 0.046875] 37005: [discriminator loss: 0.512440, acc: 0.710938] [adversarial loss: 1.267813, acc: 0.296875] 37006: [discriminator loss: 0.501309, acc: 0.734375] [adversarial loss: 1.255042, acc: 0.250000] 37007: [discriminator loss: 0.507520, acc: 0.757812] [adversarial loss: 1.285807, acc: 0.234375] 37008: [discriminator loss: 0.541703, acc: 0.734375] [adversarial loss: 1.139222, acc: 0.343750] 37009: [discriminator loss: 0.513120, acc: 0.726562] [adversarial loss: 1.471834, acc: 0.203125] 37010: [discriminator loss: 0.545769, acc: 0.734375] [adversarial loss: 1.053795, acc: 0.328125] 37011: [discriminator loss: 0.518867, acc: 0.765625] [adversarial loss: 1.339484, acc: 0.171875] 37012: [discriminator loss: 0.547772, acc: 0.734375] [adversarial loss: 1.307913, acc: 0.187500] 37013: [discriminator loss: 0.517206, acc: 0.734375] [adversarial loss: 1.268599, acc: 0.265625] 37014: [discriminator loss: 0.491059, acc: 0.742188] [adversarial loss: 1.154009, acc: 0.328125] 37015: [discriminator loss: 0.538457, acc: 0.742188] [adversarial loss: 1.485074, acc: 0.140625] 37016: [discriminator loss: 0.461367, acc: 0.781250] [adversarial loss: 0.845722, acc: 0.531250] 37017: [discriminator loss: 0.612160, acc: 0.625000] [adversarial loss: 1.766450, acc: 0.078125] 37018: [discriminator loss: 0.506656, acc: 0.718750] [adversarial loss: 1.263526, acc: 0.296875] 37019: [discriminator loss: 0.485455, acc: 0.765625] [adversarial loss: 2.151400, acc: 0.093750] 37020: [discriminator loss: 0.515244, acc: 0.734375] [adversarial loss: 0.830471, acc: 0.406250] 37021: [discriminator loss: 0.491085, acc: 0.750000] [adversarial loss: 1.714049, acc: 0.140625] 37022: [discriminator loss: 0.529792, acc: 0.734375] [adversarial loss: 0.879337, acc: 0.500000] 37023: [discriminator loss: 0.521882, acc: 0.734375] [adversarial loss: 1.779785, acc: 0.093750] 37024: [discriminator loss: 0.526762, acc: 0.726562] [adversarial loss: 0.895562, acc: 0.484375] 37025: [discriminator loss: 0.517851, acc: 0.718750] [adversarial loss: 1.347904, acc: 0.250000] 37026: [discriminator loss: 0.481045, acc: 0.734375] [adversarial loss: 1.144974, acc: 0.343750] 37027: [discriminator loss: 0.493654, acc: 0.757812] [adversarial loss: 1.648221, acc: 0.140625] 37028: [discriminator loss: 0.448615, acc: 0.765625] [adversarial loss: 0.993534, acc: 0.421875] 37029: [discriminator loss: 0.557489, acc: 0.710938] [adversarial loss: 1.746189, acc: 0.031250] 37030: [discriminator loss: 0.493465, acc: 0.750000] [adversarial loss: 1.114516, acc: 0.359375] 37031: [discriminator loss: 0.510204, acc: 0.742188] [adversarial loss: 1.140619, acc: 0.281250] 37032: [discriminator loss: 0.489551, acc: 0.718750] [adversarial loss: 1.348457, acc: 0.203125] 37033: [discriminator loss: 0.500663, acc: 0.750000] [adversarial loss: 1.349892, acc: 0.171875] 37034: [discriminator loss: 0.567024, acc: 0.687500] [adversarial loss: 1.237124, acc: 0.359375] 37035: [discriminator loss: 0.486083, acc: 0.718750] [adversarial loss: 1.145931, acc: 0.312500] 37036: [discriminator loss: 0.511863, acc: 0.726562] [adversarial loss: 1.383829, acc: 0.125000] 37037: [discriminator loss: 0.538900, acc: 0.726562] [adversarial loss: 1.007671, acc: 0.343750] 37038: [discriminator loss: 0.488181, acc: 0.750000] [adversarial loss: 1.567622, acc: 0.156250] 37039: [discriminator loss: 0.579799, acc: 0.671875] [adversarial loss: 1.417629, acc: 0.187500] 37040: [discriminator loss: 0.517982, acc: 0.742188] [adversarial loss: 0.887921, acc: 0.515625] 37041: [discriminator loss: 0.571032, acc: 0.687500] [adversarial loss: 1.812807, acc: 0.109375] 37042: [discriminator loss: 0.555272, acc: 0.718750] [adversarial loss: 0.923127, acc: 0.437500] 37043: [discriminator loss: 0.553743, acc: 0.750000] [adversarial loss: 1.790578, acc: 0.062500] 37044: [discriminator loss: 0.535475, acc: 0.742188] [adversarial loss: 0.976716, acc: 0.437500] 37045: [discriminator loss: 0.500791, acc: 0.703125] [adversarial loss: 1.563302, acc: 0.093750] 37046: [discriminator loss: 0.512942, acc: 0.726562] [adversarial loss: 1.281896, acc: 0.250000] 37047: [discriminator loss: 0.410629, acc: 0.789062] [adversarial loss: 1.365274, acc: 0.281250] 37048: [discriminator loss: 0.499594, acc: 0.742188] [adversarial loss: 1.177929, acc: 0.234375] 37049: [discriminator loss: 0.515308, acc: 0.750000] [adversarial loss: 1.364604, acc: 0.125000] 37050: [discriminator loss: 0.537083, acc: 0.687500] [adversarial loss: 1.008222, acc: 0.359375] 37051: [discriminator loss: 0.563470, acc: 0.687500] [adversarial loss: 1.453486, acc: 0.171875] 37052: [discriminator loss: 0.490985, acc: 0.757812] [adversarial loss: 1.059038, acc: 0.343750] 37053: [discriminator loss: 0.441725, acc: 0.804688] [adversarial loss: 1.445947, acc: 0.140625] 37054: [discriminator loss: 0.554511, acc: 0.734375] [adversarial loss: 1.436660, acc: 0.171875] 37055: [discriminator loss: 0.531541, acc: 0.718750] [adversarial loss: 0.858514, acc: 0.515625] 37056: [discriminator loss: 0.507053, acc: 0.750000] [adversarial loss: 1.862863, acc: 0.062500] 37057: [discriminator loss: 0.529378, acc: 0.734375] [adversarial loss: 0.731278, acc: 0.546875] 37058: [discriminator loss: 0.596285, acc: 0.703125] [adversarial loss: 1.638916, acc: 0.093750] 37059: [discriminator loss: 0.541254, acc: 0.726562] [adversarial loss: 1.291638, acc: 0.203125] 37060: [discriminator loss: 0.455642, acc: 0.796875] [adversarial loss: 1.052226, acc: 0.375000] 37061: [discriminator loss: 0.541653, acc: 0.703125] [adversarial loss: 1.340322, acc: 0.187500] 37062: [discriminator loss: 0.522797, acc: 0.710938] [adversarial loss: 1.195909, acc: 0.296875] 37063: [discriminator loss: 0.486130, acc: 0.757812] [adversarial loss: 1.533403, acc: 0.125000] 37064: [discriminator loss: 0.476695, acc: 0.757812] [adversarial loss: 1.244571, acc: 0.250000] 37065: [discriminator loss: 0.517505, acc: 0.726562] [adversarial loss: 1.318115, acc: 0.296875] 37066: [discriminator loss: 0.503702, acc: 0.750000] [adversarial loss: 1.381638, acc: 0.218750] 37067: [discriminator loss: 0.531676, acc: 0.718750] [adversarial loss: 1.642895, acc: 0.125000] 37068: [discriminator loss: 0.557610, acc: 0.679688] [adversarial loss: 0.934073, acc: 0.468750] 37069: [discriminator loss: 0.489192, acc: 0.773438] [adversarial loss: 1.526859, acc: 0.187500] 37070: [discriminator loss: 0.503531, acc: 0.734375] [adversarial loss: 1.206374, acc: 0.187500] 37071: [discriminator loss: 0.471853, acc: 0.804688] [adversarial loss: 1.244867, acc: 0.187500] 37072: [discriminator loss: 0.508963, acc: 0.757812] [adversarial loss: 1.663515, acc: 0.140625] 37073: [discriminator loss: 0.502531, acc: 0.742188] [adversarial loss: 0.899820, acc: 0.484375] 37074: [discriminator loss: 0.551531, acc: 0.703125] [adversarial loss: 1.716749, acc: 0.140625] 37075: [discriminator loss: 0.568876, acc: 0.710938] [adversarial loss: 0.914647, acc: 0.437500] 37076: [discriminator loss: 0.501908, acc: 0.781250] [adversarial loss: 1.600375, acc: 0.156250] 37077: [discriminator loss: 0.529147, acc: 0.789062] [adversarial loss: 1.106377, acc: 0.390625] 37078: [discriminator loss: 0.542004, acc: 0.703125] [adversarial loss: 1.579911, acc: 0.156250] 37079: [discriminator loss: 0.555513, acc: 0.710938] [adversarial loss: 0.767714, acc: 0.531250] 37080: [discriminator loss: 0.609453, acc: 0.664062] [adversarial loss: 1.722197, acc: 0.140625] 37081: [discriminator loss: 0.574421, acc: 0.695312] [adversarial loss: 1.086902, acc: 0.406250] 37082: [discriminator loss: 0.505940, acc: 0.773438] [adversarial loss: 1.620629, acc: 0.140625] 37083: [discriminator loss: 0.549197, acc: 0.750000] [adversarial loss: 1.299377, acc: 0.281250] 37084: [discriminator loss: 0.454504, acc: 0.781250] [adversarial loss: 1.361984, acc: 0.312500] 37085: [discriminator loss: 0.526892, acc: 0.734375] [adversarial loss: 1.266012, acc: 0.296875] 37086: [discriminator loss: 0.546172, acc: 0.765625] [adversarial loss: 1.086964, acc: 0.390625] 37087: [discriminator loss: 0.530762, acc: 0.750000] [adversarial loss: 1.196441, acc: 0.312500] 37088: [discriminator loss: 0.483042, acc: 0.804688] [adversarial loss: 1.231596, acc: 0.265625] 37089: [discriminator loss: 0.424553, acc: 0.828125] [adversarial loss: 1.415403, acc: 0.203125] 37090: [discriminator loss: 0.505807, acc: 0.750000] [adversarial loss: 1.040030, acc: 0.312500] 37091: [discriminator loss: 0.496359, acc: 0.742188] [adversarial loss: 1.482518, acc: 0.187500] 37092: [discriminator loss: 0.526544, acc: 0.742188] [adversarial loss: 0.746481, acc: 0.609375] 37093: [discriminator loss: 0.510461, acc: 0.710938] [adversarial loss: 1.709093, acc: 0.109375] 37094: [discriminator loss: 0.558008, acc: 0.695312] [adversarial loss: 1.144008, acc: 0.281250] 37095: [discriminator loss: 0.534958, acc: 0.734375] [adversarial loss: 0.903113, acc: 0.406250] 37096: [discriminator loss: 0.534470, acc: 0.695312] [adversarial loss: 1.594252, acc: 0.125000] 37097: [discriminator loss: 0.608626, acc: 0.648438] [adversarial loss: 0.947244, acc: 0.484375] 37098: [discriminator loss: 0.535676, acc: 0.718750] [adversarial loss: 1.787683, acc: 0.078125] 37099: [discriminator loss: 0.495660, acc: 0.750000] [adversarial loss: 0.893904, acc: 0.500000] 37100: [discriminator loss: 0.535413, acc: 0.718750] [adversarial loss: 1.416669, acc: 0.171875] 37101: [discriminator loss: 0.526034, acc: 0.726562] [adversarial loss: 1.115221, acc: 0.187500] 37102: [discriminator loss: 0.474195, acc: 0.773438] [adversarial loss: 1.533429, acc: 0.125000] 37103: [discriminator loss: 0.498072, acc: 0.726562] [adversarial loss: 1.246604, acc: 0.281250] 37104: [discriminator loss: 0.524897, acc: 0.726562] [adversarial loss: 1.587850, acc: 0.062500] 37105: [discriminator loss: 0.506040, acc: 0.750000] [adversarial loss: 1.149430, acc: 0.218750] 37106: [discriminator loss: 0.486112, acc: 0.734375] [adversarial loss: 1.239908, acc: 0.437500] 37107: [discriminator loss: 0.490471, acc: 0.773438] [adversarial loss: 1.568535, acc: 0.156250] 37108: [discriminator loss: 0.505738, acc: 0.703125] [adversarial loss: 0.841200, acc: 0.531250] 37109: [discriminator loss: 0.475292, acc: 0.750000] [adversarial loss: 1.438275, acc: 0.125000] 37110: [discriminator loss: 0.512126, acc: 0.718750] [adversarial loss: 1.301094, acc: 0.312500] 37111: [discriminator loss: 0.580463, acc: 0.726562] [adversarial loss: 1.591612, acc: 0.093750] 37112: [discriminator loss: 0.505728, acc: 0.781250] [adversarial loss: 1.436353, acc: 0.187500] 37113: [discriminator loss: 0.481200, acc: 0.726562] [adversarial loss: 1.273107, acc: 0.218750] 37114: [discriminator loss: 0.472194, acc: 0.812500] [adversarial loss: 1.147866, acc: 0.281250] 37115: [discriminator loss: 0.536316, acc: 0.695312] [adversarial loss: 1.743829, acc: 0.109375] 37116: [discriminator loss: 0.492959, acc: 0.750000] [adversarial loss: 0.965012, acc: 0.406250] 37117: [discriminator loss: 0.562588, acc: 0.757812] [adversarial loss: 2.068801, acc: 0.125000] 37118: [discriminator loss: 0.513669, acc: 0.734375] [adversarial loss: 0.950007, acc: 0.343750] 37119: [discriminator loss: 0.537752, acc: 0.718750] [adversarial loss: 1.625200, acc: 0.062500] 37120: [discriminator loss: 0.471165, acc: 0.773438] [adversarial loss: 1.128371, acc: 0.343750] 37121: [discriminator loss: 0.470706, acc: 0.757812] [adversarial loss: 1.661145, acc: 0.109375] 37122: [discriminator loss: 0.596810, acc: 0.679688] [adversarial loss: 1.108663, acc: 0.328125] 37123: [discriminator loss: 0.590267, acc: 0.695312] [adversarial loss: 1.790184, acc: 0.109375] 37124: [discriminator loss: 0.565881, acc: 0.687500] [adversarial loss: 0.998972, acc: 0.437500] 37125: [discriminator loss: 0.556069, acc: 0.718750] [adversarial loss: 1.596021, acc: 0.203125] 37126: [discriminator loss: 0.469323, acc: 0.765625] [adversarial loss: 1.344299, acc: 0.234375] 37127: [discriminator loss: 0.475063, acc: 0.765625] [adversarial loss: 1.386383, acc: 0.234375] 37128: [discriminator loss: 0.575268, acc: 0.664062] [adversarial loss: 1.031570, acc: 0.390625] 37129: [discriminator loss: 0.536143, acc: 0.718750] [adversarial loss: 1.294087, acc: 0.218750] 37130: [discriminator loss: 0.453961, acc: 0.750000] [adversarial loss: 1.239799, acc: 0.250000] 37131: [discriminator loss: 0.448251, acc: 0.796875] [adversarial loss: 1.480092, acc: 0.125000] 37132: [discriminator loss: 0.509613, acc: 0.710938] [adversarial loss: 1.157181, acc: 0.281250] 37133: [discriminator loss: 0.554243, acc: 0.679688] [adversarial loss: 1.496682, acc: 0.171875] 37134: [discriminator loss: 0.487804, acc: 0.750000] [adversarial loss: 1.153045, acc: 0.296875] 37135: [discriminator loss: 0.449629, acc: 0.781250] [adversarial loss: 1.812902, acc: 0.109375] 37136: [discriminator loss: 0.673211, acc: 0.648438] [adversarial loss: 0.989955, acc: 0.406250] 37137: [discriminator loss: 0.556198, acc: 0.687500] [adversarial loss: 1.405570, acc: 0.203125] 37138: [discriminator loss: 0.525799, acc: 0.726562] [adversarial loss: 1.272487, acc: 0.296875] 37139: [discriminator loss: 0.530885, acc: 0.742188] [adversarial loss: 1.062866, acc: 0.312500] 37140: [discriminator loss: 0.540871, acc: 0.703125] [adversarial loss: 1.957064, acc: 0.062500] 37141: [discriminator loss: 0.527149, acc: 0.718750] [adversarial loss: 1.027153, acc: 0.375000] 37142: [discriminator loss: 0.566028, acc: 0.695312] [adversarial loss: 1.544731, acc: 0.125000] 37143: [discriminator loss: 0.514571, acc: 0.710938] [adversarial loss: 1.011876, acc: 0.359375] 37144: [discriminator loss: 0.473630, acc: 0.773438] [adversarial loss: 1.269406, acc: 0.281250] 37145: [discriminator loss: 0.500433, acc: 0.734375] [adversarial loss: 1.523096, acc: 0.171875] 37146: [discriminator loss: 0.453906, acc: 0.781250] [adversarial loss: 1.340865, acc: 0.171875] 37147: [discriminator loss: 0.470180, acc: 0.781250] [adversarial loss: 1.401793, acc: 0.125000] 37148: [discriminator loss: 0.500402, acc: 0.734375] [adversarial loss: 1.038991, acc: 0.421875] 37149: [discriminator loss: 0.508179, acc: 0.773438] [adversarial loss: 1.839134, acc: 0.109375] 37150: [discriminator loss: 0.585270, acc: 0.679688] [adversarial loss: 0.861217, acc: 0.500000] 37151: [discriminator loss: 0.437465, acc: 0.828125] [adversarial loss: 1.146199, acc: 0.328125] 37152: [discriminator loss: 0.520828, acc: 0.750000] [adversarial loss: 1.275310, acc: 0.187500] 37153: [discriminator loss: 0.454493, acc: 0.781250] [adversarial loss: 1.596299, acc: 0.187500] 37154: [discriminator loss: 0.589116, acc: 0.695312] [adversarial loss: 0.961230, acc: 0.375000] 37155: [discriminator loss: 0.547781, acc: 0.703125] [adversarial loss: 1.672011, acc: 0.187500] 37156: [discriminator loss: 0.495561, acc: 0.757812] [adversarial loss: 1.056931, acc: 0.296875] 37157: [discriminator loss: 0.548094, acc: 0.710938] [adversarial loss: 1.362248, acc: 0.265625] 37158: [discriminator loss: 0.456838, acc: 0.781250] [adversarial loss: 1.316557, acc: 0.171875] 37159: [discriminator loss: 0.476507, acc: 0.804688] [adversarial loss: 1.706439, acc: 0.078125] 37160: [discriminator loss: 0.573467, acc: 0.656250] [adversarial loss: 0.800421, acc: 0.562500] 37161: [discriminator loss: 0.614574, acc: 0.687500] [adversarial loss: 1.561317, acc: 0.156250] 37162: [discriminator loss: 0.546408, acc: 0.703125] [adversarial loss: 0.670869, acc: 0.593750] 37163: [discriminator loss: 0.528889, acc: 0.773438] [adversarial loss: 1.444850, acc: 0.140625] 37164: [discriminator loss: 0.501953, acc: 0.742188] [adversarial loss: 0.982384, acc: 0.375000] 37165: [discriminator loss: 0.508368, acc: 0.789062] [adversarial loss: 1.264460, acc: 0.281250] 37166: [discriminator loss: 0.468210, acc: 0.773438] [adversarial loss: 1.319959, acc: 0.203125] 37167: [discriminator loss: 0.495876, acc: 0.773438] [adversarial loss: 1.093612, acc: 0.343750] 37168: [discriminator loss: 0.524801, acc: 0.734375] [adversarial loss: 1.292576, acc: 0.203125] 37169: [discriminator loss: 0.517628, acc: 0.750000] [adversarial loss: 1.230984, acc: 0.250000] 37170: [discriminator loss: 0.473688, acc: 0.773438] [adversarial loss: 1.382347, acc: 0.203125] 37171: [discriminator loss: 0.580666, acc: 0.648438] [adversarial loss: 1.194857, acc: 0.234375] 37172: [discriminator loss: 0.565750, acc: 0.664062] [adversarial loss: 1.383987, acc: 0.234375] 37173: [discriminator loss: 0.525844, acc: 0.710938] [adversarial loss: 1.380226, acc: 0.203125] 37174: [discriminator loss: 0.498649, acc: 0.789062] [adversarial loss: 0.843891, acc: 0.531250] 37175: [discriminator loss: 0.534448, acc: 0.726562] [adversarial loss: 1.646797, acc: 0.109375] 37176: [discriminator loss: 0.527644, acc: 0.757812] [adversarial loss: 0.898614, acc: 0.484375] 37177: [discriminator loss: 0.584574, acc: 0.695312] [adversarial loss: 1.759223, acc: 0.125000] 37178: [discriminator loss: 0.497025, acc: 0.734375] [adversarial loss: 1.373776, acc: 0.187500] 37179: [discriminator loss: 0.474232, acc: 0.765625] [adversarial loss: 1.273095, acc: 0.281250] 37180: [discriminator loss: 0.448276, acc: 0.773438] [adversarial loss: 1.236733, acc: 0.250000] 37181: [discriminator loss: 0.450673, acc: 0.804688] [adversarial loss: 1.557271, acc: 0.203125] 37182: [discriminator loss: 0.481279, acc: 0.765625] [adversarial loss: 1.375160, acc: 0.234375] 37183: [discriminator loss: 0.483921, acc: 0.789062] [adversarial loss: 1.066173, acc: 0.359375] 37184: [discriminator loss: 0.519875, acc: 0.773438] [adversarial loss: 1.584515, acc: 0.093750] 37185: [discriminator loss: 0.462653, acc: 0.765625] [adversarial loss: 1.048442, acc: 0.359375] 37186: [discriminator loss: 0.517595, acc: 0.757812] [adversarial loss: 1.654806, acc: 0.093750] 37187: [discriminator loss: 0.486086, acc: 0.773438] [adversarial loss: 1.145627, acc: 0.312500] 37188: [discriminator loss: 0.437924, acc: 0.789062] [adversarial loss: 1.361158, acc: 0.218750] 37189: [discriminator loss: 0.449204, acc: 0.757812] [adversarial loss: 0.948659, acc: 0.390625] 37190: [discriminator loss: 0.527940, acc: 0.679688] [adversarial loss: 1.414141, acc: 0.250000] 37191: [discriminator loss: 0.485826, acc: 0.765625] [adversarial loss: 1.256862, acc: 0.218750] 37192: [discriminator loss: 0.545523, acc: 0.742188] [adversarial loss: 1.509398, acc: 0.218750] 37193: [discriminator loss: 0.515006, acc: 0.750000] [adversarial loss: 1.840069, acc: 0.125000] 37194: [discriminator loss: 0.491885, acc: 0.750000] [adversarial loss: 1.208434, acc: 0.281250] 37195: [discriminator loss: 0.533327, acc: 0.710938] [adversarial loss: 1.618312, acc: 0.140625] 37196: [discriminator loss: 0.552738, acc: 0.687500] [adversarial loss: 0.996053, acc: 0.500000] 37197: [discriminator loss: 0.563562, acc: 0.695312] [adversarial loss: 1.472051, acc: 0.109375] 37198: [discriminator loss: 0.457603, acc: 0.742188] [adversarial loss: 1.355641, acc: 0.218750] 37199: [discriminator loss: 0.500020, acc: 0.757812] [adversarial loss: 1.477301, acc: 0.187500] 37200: [discriminator loss: 0.499475, acc: 0.726562] [adversarial loss: 1.019476, acc: 0.375000] 37201: [discriminator loss: 0.529084, acc: 0.726562] [adversarial loss: 1.158984, acc: 0.281250] 37202: [discriminator loss: 0.511727, acc: 0.765625] [adversarial loss: 1.795670, acc: 0.109375] 37203: [discriminator loss: 0.593107, acc: 0.679688] [adversarial loss: 0.969486, acc: 0.484375] 37204: [discriminator loss: 0.459052, acc: 0.789062] [adversarial loss: 1.333611, acc: 0.218750] 37205: [discriminator loss: 0.561052, acc: 0.679688] [adversarial loss: 1.041888, acc: 0.421875] 37206: [discriminator loss: 0.532910, acc: 0.750000] [adversarial loss: 1.321473, acc: 0.234375] 37207: [discriminator loss: 0.464898, acc: 0.781250] [adversarial loss: 1.031573, acc: 0.421875] 37208: [discriminator loss: 0.496443, acc: 0.781250] [adversarial loss: 1.714288, acc: 0.171875] 37209: [discriminator loss: 0.502202, acc: 0.742188] [adversarial loss: 1.261910, acc: 0.250000] 37210: [discriminator loss: 0.448031, acc: 0.796875] [adversarial loss: 1.058591, acc: 0.312500] 37211: [discriminator loss: 0.536700, acc: 0.710938] [adversarial loss: 1.844044, acc: 0.156250] 37212: [discriminator loss: 0.562074, acc: 0.703125] [adversarial loss: 0.858631, acc: 0.484375] 37213: [discriminator loss: 0.494049, acc: 0.765625] [adversarial loss: 1.757104, acc: 0.109375] 37214: [discriminator loss: 0.587487, acc: 0.671875] [adversarial loss: 0.915129, acc: 0.437500] 37215: [discriminator loss: 0.540040, acc: 0.734375] [adversarial loss: 1.735581, acc: 0.109375] 37216: [discriminator loss: 0.519147, acc: 0.750000] [adversarial loss: 1.005874, acc: 0.406250] 37217: [discriminator loss: 0.549524, acc: 0.703125] [adversarial loss: 1.627613, acc: 0.125000] 37218: [discriminator loss: 0.491176, acc: 0.718750] [adversarial loss: 1.164111, acc: 0.359375] 37219: [discriminator loss: 0.596537, acc: 0.687500] [adversarial loss: 1.372508, acc: 0.156250] 37220: [discriminator loss: 0.550342, acc: 0.710938] [adversarial loss: 1.216057, acc: 0.328125] 37221: [discriminator loss: 0.614016, acc: 0.695312] [adversarial loss: 1.480468, acc: 0.156250] 37222: [discriminator loss: 0.494591, acc: 0.757812] [adversarial loss: 1.124217, acc: 0.281250] 37223: [discriminator loss: 0.502623, acc: 0.734375] [adversarial loss: 1.305905, acc: 0.265625] 37224: [discriminator loss: 0.448007, acc: 0.789062] [adversarial loss: 1.174302, acc: 0.296875] 37225: [discriminator loss: 0.460881, acc: 0.796875] [adversarial loss: 1.389061, acc: 0.203125] 37226: [discriminator loss: 0.499226, acc: 0.742188] [adversarial loss: 1.175970, acc: 0.328125] 37227: [discriminator loss: 0.481852, acc: 0.773438] [adversarial loss: 1.029445, acc: 0.406250] 37228: [discriminator loss: 0.513112, acc: 0.726562] [adversarial loss: 1.405378, acc: 0.218750] 37229: [discriminator loss: 0.425705, acc: 0.796875] [adversarial loss: 0.988957, acc: 0.500000] 37230: [discriminator loss: 0.541790, acc: 0.734375] [adversarial loss: 1.819153, acc: 0.125000] 37231: [discriminator loss: 0.606326, acc: 0.710938] [adversarial loss: 1.084274, acc: 0.296875] 37232: [discriminator loss: 0.472790, acc: 0.804688] [adversarial loss: 1.351332, acc: 0.187500] 37233: [discriminator loss: 0.500646, acc: 0.726562] [adversarial loss: 1.026599, acc: 0.359375] 37234: [discriminator loss: 0.467995, acc: 0.796875] [adversarial loss: 1.379096, acc: 0.312500] 37235: [discriminator loss: 0.488832, acc: 0.718750] [adversarial loss: 1.640761, acc: 0.156250] 37236: [discriminator loss: 0.536543, acc: 0.718750] [adversarial loss: 1.086558, acc: 0.375000] 37237: [discriminator loss: 0.500008, acc: 0.750000] [adversarial loss: 1.396939, acc: 0.156250] 37238: [discriminator loss: 0.506055, acc: 0.726562] [adversarial loss: 1.501680, acc: 0.187500] 37239: [discriminator loss: 0.511596, acc: 0.750000] [adversarial loss: 1.174122, acc: 0.281250] 37240: [discriminator loss: 0.534709, acc: 0.726562] [adversarial loss: 1.882891, acc: 0.078125] 37241: [discriminator loss: 0.566054, acc: 0.656250] [adversarial loss: 1.092037, acc: 0.328125] 37242: [discriminator loss: 0.552278, acc: 0.703125] [adversarial loss: 1.521893, acc: 0.109375] 37243: [discriminator loss: 0.448986, acc: 0.765625] [adversarial loss: 1.139468, acc: 0.296875] 37244: [discriminator loss: 0.523940, acc: 0.695312] [adversarial loss: 1.410510, acc: 0.156250] 37245: [discriminator loss: 0.579452, acc: 0.664062] [adversarial loss: 1.247938, acc: 0.328125] 37246: [discriminator loss: 0.481910, acc: 0.757812] [adversarial loss: 1.396792, acc: 0.187500] 37247: [discriminator loss: 0.521547, acc: 0.757812] [adversarial loss: 1.375678, acc: 0.187500] 37248: [discriminator loss: 0.553677, acc: 0.710938] [adversarial loss: 1.266566, acc: 0.328125] 37249: [discriminator loss: 0.471160, acc: 0.773438] [adversarial loss: 1.636386, acc: 0.046875] 37250: [discriminator loss: 0.516204, acc: 0.773438] [adversarial loss: 0.826229, acc: 0.531250] 37251: [discriminator loss: 0.555331, acc: 0.718750] [adversarial loss: 1.705121, acc: 0.125000] 37252: [discriminator loss: 0.530485, acc: 0.710938] [adversarial loss: 1.246741, acc: 0.281250] 37253: [discriminator loss: 0.558376, acc: 0.703125] [adversarial loss: 1.465809, acc: 0.218750] 37254: [discriminator loss: 0.492300, acc: 0.750000] [adversarial loss: 1.133564, acc: 0.281250] 37255: [discriminator loss: 0.455347, acc: 0.789062] [adversarial loss: 1.340747, acc: 0.312500] 37256: [discriminator loss: 0.493991, acc: 0.757812] [adversarial loss: 1.247211, acc: 0.296875] 37257: [discriminator loss: 0.537427, acc: 0.726562] [adversarial loss: 1.681518, acc: 0.125000] 37258: [discriminator loss: 0.551690, acc: 0.679688] [adversarial loss: 1.162006, acc: 0.203125] 37259: [discriminator loss: 0.497129, acc: 0.734375] [adversarial loss: 1.503167, acc: 0.156250] 37260: [discriminator loss: 0.519365, acc: 0.726562] [adversarial loss: 1.322086, acc: 0.296875] 37261: [discriminator loss: 0.469567, acc: 0.757812] [adversarial loss: 1.464838, acc: 0.171875] 37262: [discriminator loss: 0.490685, acc: 0.726562] [adversarial loss: 0.806263, acc: 0.468750] 37263: [discriminator loss: 0.485944, acc: 0.757812] [adversarial loss: 1.936602, acc: 0.156250] 37264: [discriminator loss: 0.588651, acc: 0.664062] [adversarial loss: 0.901031, acc: 0.468750] 37265: [discriminator loss: 0.522324, acc: 0.734375] [adversarial loss: 1.621605, acc: 0.203125] 37266: [discriminator loss: 0.564193, acc: 0.671875] [adversarial loss: 1.078848, acc: 0.390625] 37267: [discriminator loss: 0.537244, acc: 0.750000] [adversarial loss: 1.505718, acc: 0.171875] 37268: [discriminator loss: 0.511006, acc: 0.757812] [adversarial loss: 1.145296, acc: 0.343750] 37269: [discriminator loss: 0.535914, acc: 0.687500] [adversarial loss: 1.171946, acc: 0.312500] 37270: [discriminator loss: 0.489432, acc: 0.710938] [adversarial loss: 1.406790, acc: 0.234375] 37271: [discriminator loss: 0.500266, acc: 0.757812] [adversarial loss: 1.518609, acc: 0.171875] 37272: [discriminator loss: 0.533809, acc: 0.750000] [adversarial loss: 1.291849, acc: 0.250000] 37273: [discriminator loss: 0.444290, acc: 0.796875] [adversarial loss: 1.243693, acc: 0.250000] 37274: [discriminator loss: 0.480584, acc: 0.734375] [adversarial loss: 1.217642, acc: 0.312500] 37275: [discriminator loss: 0.549151, acc: 0.718750] [adversarial loss: 1.335916, acc: 0.218750] 37276: [discriminator loss: 0.543179, acc: 0.734375] [adversarial loss: 1.126999, acc: 0.437500] 37277: [discriminator loss: 0.554651, acc: 0.671875] [adversarial loss: 1.617405, acc: 0.171875] 37278: [discriminator loss: 0.521505, acc: 0.781250] [adversarial loss: 1.512308, acc: 0.093750] 37279: [discriminator loss: 0.449428, acc: 0.773438] [adversarial loss: 1.122938, acc: 0.359375] 37280: [discriminator loss: 0.441736, acc: 0.796875] [adversarial loss: 1.585052, acc: 0.125000] 37281: [discriminator loss: 0.573715, acc: 0.679688] [adversarial loss: 1.300698, acc: 0.218750] 37282: [discriminator loss: 0.527720, acc: 0.734375] [adversarial loss: 1.268440, acc: 0.265625] 37283: [discriminator loss: 0.508007, acc: 0.757812] [adversarial loss: 1.443519, acc: 0.187500] 37284: [discriminator loss: 0.514963, acc: 0.687500] [adversarial loss: 0.935030, acc: 0.484375] 37285: [discriminator loss: 0.572625, acc: 0.695312] [adversarial loss: 1.665195, acc: 0.156250] 37286: [discriminator loss: 0.567586, acc: 0.687500] [adversarial loss: 0.852269, acc: 0.500000] 37287: [discriminator loss: 0.560846, acc: 0.734375] [adversarial loss: 1.528457, acc: 0.093750] 37288: [discriminator loss: 0.487201, acc: 0.750000] [adversarial loss: 0.979663, acc: 0.437500] 37289: [discriminator loss: 0.424231, acc: 0.851562] [adversarial loss: 1.412848, acc: 0.171875] 37290: [discriminator loss: 0.497422, acc: 0.695312] [adversarial loss: 1.277403, acc: 0.218750] 37291: [discriminator loss: 0.495300, acc: 0.757812] [adversarial loss: 1.101037, acc: 0.359375] 37292: [discriminator loss: 0.476566, acc: 0.812500] [adversarial loss: 1.445121, acc: 0.203125] 37293: [discriminator loss: 0.536612, acc: 0.695312] [adversarial loss: 0.900944, acc: 0.453125] 37294: [discriminator loss: 0.509660, acc: 0.773438] [adversarial loss: 1.353472, acc: 0.171875] 37295: [discriminator loss: 0.472350, acc: 0.804688] [adversarial loss: 1.018148, acc: 0.359375] 37296: [discriminator loss: 0.510387, acc: 0.703125] [adversarial loss: 1.506723, acc: 0.156250] 37297: [discriminator loss: 0.490496, acc: 0.750000] [adversarial loss: 1.314638, acc: 0.250000] 37298: [discriminator loss: 0.508945, acc: 0.742188] [adversarial loss: 1.836270, acc: 0.078125] 37299: [discriminator loss: 0.555441, acc: 0.679688] [adversarial loss: 0.936870, acc: 0.453125] 37300: [discriminator loss: 0.508485, acc: 0.703125] [adversarial loss: 1.579141, acc: 0.187500] 37301: [discriminator loss: 0.503372, acc: 0.765625] [adversarial loss: 1.202371, acc: 0.281250] 37302: [discriminator loss: 0.433412, acc: 0.750000] [adversarial loss: 1.422518, acc: 0.218750] 37303: [discriminator loss: 0.492724, acc: 0.765625] [adversarial loss: 1.167057, acc: 0.343750] 37304: [discriminator loss: 0.455959, acc: 0.804688] [adversarial loss: 1.400409, acc: 0.250000] 37305: [discriminator loss: 0.538868, acc: 0.671875] [adversarial loss: 0.903616, acc: 0.390625] 37306: [discriminator loss: 0.537112, acc: 0.726562] [adversarial loss: 1.228669, acc: 0.187500] 37307: [discriminator loss: 0.516232, acc: 0.695312] [adversarial loss: 1.073323, acc: 0.312500] 37308: [discriminator loss: 0.444544, acc: 0.828125] [adversarial loss: 1.630576, acc: 0.078125] 37309: [discriminator loss: 0.485423, acc: 0.750000] [adversarial loss: 1.014765, acc: 0.390625] 37310: [discriminator loss: 0.513074, acc: 0.765625] [adversarial loss: 1.517268, acc: 0.218750] 37311: [discriminator loss: 0.466154, acc: 0.750000] [adversarial loss: 1.179538, acc: 0.359375] 37312: [discriminator loss: 0.504452, acc: 0.757812] [adversarial loss: 0.992582, acc: 0.437500] 37313: [discriminator loss: 0.538675, acc: 0.703125] [adversarial loss: 1.361150, acc: 0.218750] 37314: [discriminator loss: 0.541629, acc: 0.703125] [adversarial loss: 1.080211, acc: 0.390625] 37315: [discriminator loss: 0.590678, acc: 0.687500] [adversarial loss: 1.463345, acc: 0.234375] 37316: [discriminator loss: 0.462368, acc: 0.789062] [adversarial loss: 1.146967, acc: 0.312500] 37317: [discriminator loss: 0.579664, acc: 0.671875] [adversarial loss: 1.488548, acc: 0.156250] 37318: [discriminator loss: 0.522220, acc: 0.726562] [adversarial loss: 1.408344, acc: 0.234375] 37319: [discriminator loss: 0.491058, acc: 0.757812] [adversarial loss: 1.232280, acc: 0.281250] 37320: [discriminator loss: 0.504396, acc: 0.718750] [adversarial loss: 1.396766, acc: 0.187500] 37321: [discriminator loss: 0.507283, acc: 0.750000] [adversarial loss: 1.450703, acc: 0.156250] 37322: [discriminator loss: 0.518035, acc: 0.718750] [adversarial loss: 1.006769, acc: 0.421875] 37323: [discriminator loss: 0.480714, acc: 0.734375] [adversarial loss: 1.490169, acc: 0.187500] 37324: [discriminator loss: 0.503640, acc: 0.750000] [adversarial loss: 0.949980, acc: 0.375000] 37325: [discriminator loss: 0.452307, acc: 0.828125] [adversarial loss: 1.296297, acc: 0.218750] 37326: [discriminator loss: 0.514187, acc: 0.671875] [adversarial loss: 0.872164, acc: 0.437500] 37327: [discriminator loss: 0.617353, acc: 0.687500] [adversarial loss: 2.095610, acc: 0.062500] 37328: [discriminator loss: 0.615663, acc: 0.687500] [adversarial loss: 1.007022, acc: 0.375000] 37329: [discriminator loss: 0.532184, acc: 0.726562] [adversarial loss: 1.658038, acc: 0.125000] 37330: [discriminator loss: 0.580638, acc: 0.656250] [adversarial loss: 0.852955, acc: 0.421875] 37331: [discriminator loss: 0.531215, acc: 0.765625] [adversarial loss: 1.438941, acc: 0.156250] 37332: [discriminator loss: 0.439015, acc: 0.789062] [adversarial loss: 1.366061, acc: 0.156250] 37333: [discriminator loss: 0.459752, acc: 0.820312] [adversarial loss: 1.423942, acc: 0.171875] 37334: [discriminator loss: 0.520689, acc: 0.734375] [adversarial loss: 1.473820, acc: 0.187500] 37335: [discriminator loss: 0.527985, acc: 0.718750] [adversarial loss: 1.058536, acc: 0.328125] 37336: [discriminator loss: 0.484244, acc: 0.773438] [adversarial loss: 1.561445, acc: 0.218750] 37337: [discriminator loss: 0.454579, acc: 0.773438] [adversarial loss: 1.614227, acc: 0.187500] 37338: [discriminator loss: 0.524486, acc: 0.687500] [adversarial loss: 1.332840, acc: 0.265625] 37339: [discriminator loss: 0.491763, acc: 0.718750] [adversarial loss: 1.101148, acc: 0.281250] 37340: [discriminator loss: 0.445382, acc: 0.773438] [adversarial loss: 1.228824, acc: 0.281250] 37341: [discriminator loss: 0.468508, acc: 0.781250] [adversarial loss: 0.980295, acc: 0.375000] 37342: [discriminator loss: 0.446183, acc: 0.765625] [adversarial loss: 1.399004, acc: 0.218750] 37343: [discriminator loss: 0.471057, acc: 0.796875] [adversarial loss: 0.898676, acc: 0.515625] 37344: [discriminator loss: 0.577437, acc: 0.703125] [adversarial loss: 1.802531, acc: 0.109375] 37345: [discriminator loss: 0.516964, acc: 0.757812] [adversarial loss: 0.925013, acc: 0.468750] 37346: [discriminator loss: 0.440631, acc: 0.796875] [adversarial loss: 1.304178, acc: 0.328125] 37347: [discriminator loss: 0.499083, acc: 0.734375] [adversarial loss: 0.865092, acc: 0.500000] 37348: [discriminator loss: 0.438468, acc: 0.796875] [adversarial loss: 1.388648, acc: 0.265625] 37349: [discriminator loss: 0.436155, acc: 0.757812] [adversarial loss: 0.795959, acc: 0.546875] 37350: [discriminator loss: 0.617010, acc: 0.742188] [adversarial loss: 1.321202, acc: 0.312500] 37351: [discriminator loss: 0.504606, acc: 0.742188] [adversarial loss: 0.879699, acc: 0.546875] 37352: [discriminator loss: 0.497342, acc: 0.750000] [adversarial loss: 1.003685, acc: 0.375000] 37353: [discriminator loss: 0.429033, acc: 0.804688] [adversarial loss: 1.180824, acc: 0.359375] 37354: [discriminator loss: 0.538020, acc: 0.703125] [adversarial loss: 1.189444, acc: 0.359375] 37355: [discriminator loss: 0.502887, acc: 0.765625] [adversarial loss: 1.223621, acc: 0.312500] 37356: [discriminator loss: 0.433243, acc: 0.781250] [adversarial loss: 0.983597, acc: 0.437500] 37357: [discriminator loss: 0.478683, acc: 0.804688] [adversarial loss: 1.145759, acc: 0.312500] 37358: [discriminator loss: 0.430201, acc: 0.820312] [adversarial loss: 1.209063, acc: 0.281250] 37359: [discriminator loss: 0.484956, acc: 0.757812] [adversarial loss: 0.722936, acc: 0.593750] 37360: [discriminator loss: 0.402312, acc: 0.804688] [adversarial loss: 1.000437, acc: 0.437500] 37361: [discriminator loss: 0.352579, acc: 0.875000] [adversarial loss: 0.793662, acc: 0.546875] 37362: [discriminator loss: 0.453055, acc: 0.765625] [adversarial loss: 0.798663, acc: 0.500000] 37363: [discriminator loss: 0.457848, acc: 0.789062] [adversarial loss: 1.371535, acc: 0.265625] 37364: [discriminator loss: 0.533460, acc: 0.742188] [adversarial loss: 0.881677, acc: 0.500000] 37365: [discriminator loss: 0.537517, acc: 0.765625] [adversarial loss: 1.353571, acc: 0.187500] 37366: [discriminator loss: 0.578660, acc: 0.703125] [adversarial loss: 1.079218, acc: 0.281250] 37367: [discriminator loss: 0.484911, acc: 0.750000] [adversarial loss: 1.330501, acc: 0.171875] 37368: [discriminator loss: 0.439968, acc: 0.820312] [adversarial loss: 1.195692, acc: 0.234375] 37369: [discriminator loss: 0.436992, acc: 0.828125] [adversarial loss: 1.531630, acc: 0.140625] 37370: [discriminator loss: 0.484305, acc: 0.750000] [adversarial loss: 1.278203, acc: 0.265625] 37371: [discriminator loss: 0.562566, acc: 0.726562] [adversarial loss: 1.569586, acc: 0.156250] 37372: [discriminator loss: 0.531934, acc: 0.742188] [adversarial loss: 0.770826, acc: 0.468750] 37373: [discriminator loss: 0.533358, acc: 0.703125] [adversarial loss: 1.820362, acc: 0.015625] 37374: [discriminator loss: 0.477269, acc: 0.734375] [adversarial loss: 1.018838, acc: 0.406250] 37375: [discriminator loss: 0.485814, acc: 0.765625] [adversarial loss: 1.388890, acc: 0.187500] 37376: [discriminator loss: 0.566479, acc: 0.710938] [adversarial loss: 1.168530, acc: 0.328125] 37377: [discriminator loss: 0.483702, acc: 0.796875] [adversarial loss: 1.487240, acc: 0.203125] 37378: [discriminator loss: 0.554819, acc: 0.687500] [adversarial loss: 1.208977, acc: 0.328125] 37379: [discriminator loss: 0.569538, acc: 0.726562] [adversarial loss: 1.561377, acc: 0.140625] 37380: [discriminator loss: 0.490611, acc: 0.757812] [adversarial loss: 1.234150, acc: 0.265625] 37381: [discriminator loss: 0.525753, acc: 0.718750] [adversarial loss: 1.175040, acc: 0.250000] 37382: [discriminator loss: 0.493475, acc: 0.757812] [adversarial loss: 1.377867, acc: 0.171875] 37383: [discriminator loss: 0.520988, acc: 0.742188] [adversarial loss: 1.212565, acc: 0.312500] 37384: [discriminator loss: 0.537111, acc: 0.710938] [adversarial loss: 1.371659, acc: 0.234375] 37385: [discriminator loss: 0.444141, acc: 0.773438] [adversarial loss: 1.281279, acc: 0.234375] 37386: [discriminator loss: 0.514307, acc: 0.695312] [adversarial loss: 1.491539, acc: 0.171875] 37387: [discriminator loss: 0.499029, acc: 0.757812] [adversarial loss: 0.942532, acc: 0.375000] 37388: [discriminator loss: 0.499099, acc: 0.742188] [adversarial loss: 1.388579, acc: 0.187500] 37389: [discriminator loss: 0.553309, acc: 0.695312] [adversarial loss: 1.039872, acc: 0.359375] 37390: [discriminator loss: 0.534265, acc: 0.718750] [adversarial loss: 1.332084, acc: 0.203125] 37391: [discriminator loss: 0.492239, acc: 0.750000] [adversarial loss: 1.219858, acc: 0.281250] 37392: [discriminator loss: 0.481314, acc: 0.781250] [adversarial loss: 1.128949, acc: 0.312500] 37393: [discriminator loss: 0.477910, acc: 0.781250] [adversarial loss: 1.261784, acc: 0.140625] 37394: [discriminator loss: 0.425065, acc: 0.765625] [adversarial loss: 1.027143, acc: 0.328125] 37395: [discriminator loss: 0.456554, acc: 0.804688] [adversarial loss: 1.458524, acc: 0.203125] 37396: [discriminator loss: 0.523528, acc: 0.726562] [adversarial loss: 1.039416, acc: 0.437500] 37397: [discriminator loss: 0.505203, acc: 0.750000] [adversarial loss: 1.223588, acc: 0.234375] 37398: [discriminator loss: 0.449099, acc: 0.773438] [adversarial loss: 1.129129, acc: 0.281250] 37399: [discriminator loss: 0.470706, acc: 0.757812] [adversarial loss: 1.191432, acc: 0.328125] 37400: [discriminator loss: 0.529209, acc: 0.687500] [adversarial loss: 1.589730, acc: 0.109375] 37401: [discriminator loss: 0.500602, acc: 0.750000] [adversarial loss: 0.829717, acc: 0.468750] 37402: [discriminator loss: 0.506828, acc: 0.750000] [adversarial loss: 1.790327, acc: 0.062500] 37403: [discriminator loss: 0.636972, acc: 0.625000] [adversarial loss: 0.800567, acc: 0.500000] 37404: [discriminator loss: 0.511178, acc: 0.757812] [adversarial loss: 1.904659, acc: 0.062500] 37405: [discriminator loss: 0.428810, acc: 0.789062] [adversarial loss: 1.134401, acc: 0.375000] 37406: [discriminator loss: 0.495305, acc: 0.750000] [adversarial loss: 1.881527, acc: 0.078125] 37407: [discriminator loss: 0.564002, acc: 0.710938] [adversarial loss: 1.421378, acc: 0.203125] 37408: [discriminator loss: 0.424005, acc: 0.828125] [adversarial loss: 1.485822, acc: 0.187500] 37409: [discriminator loss: 0.433036, acc: 0.796875] [adversarial loss: 1.295661, acc: 0.250000] 37410: [discriminator loss: 0.467453, acc: 0.742188] [adversarial loss: 1.365387, acc: 0.218750] 37411: [discriminator loss: 0.522684, acc: 0.742188] [adversarial loss: 1.013723, acc: 0.406250] 37412: [discriminator loss: 0.435326, acc: 0.796875] [adversarial loss: 1.844087, acc: 0.171875] 37413: [discriminator loss: 0.450371, acc: 0.796875] [adversarial loss: 1.128134, acc: 0.359375] 37414: [discriminator loss: 0.435316, acc: 0.812500] [adversarial loss: 1.969677, acc: 0.062500] 37415: [discriminator loss: 0.570476, acc: 0.703125] [adversarial loss: 1.090579, acc: 0.390625] 37416: [discriminator loss: 0.499318, acc: 0.765625] [adversarial loss: 2.161698, acc: 0.078125] 37417: [discriminator loss: 0.479549, acc: 0.734375] [adversarial loss: 0.999843, acc: 0.437500] 37418: [discriminator loss: 0.443536, acc: 0.789062] [adversarial loss: 1.587056, acc: 0.203125] 37419: [discriminator loss: 0.441346, acc: 0.726562] [adversarial loss: 1.135818, acc: 0.359375] 37420: [discriminator loss: 0.519193, acc: 0.703125] [adversarial loss: 1.966142, acc: 0.093750] 37421: [discriminator loss: 0.539241, acc: 0.718750] [adversarial loss: 1.006138, acc: 0.390625] 37422: [discriminator loss: 0.480545, acc: 0.750000] [adversarial loss: 1.615355, acc: 0.156250] 37423: [discriminator loss: 0.423067, acc: 0.789062] [adversarial loss: 1.557822, acc: 0.125000] 37424: [discriminator loss: 0.476254, acc: 0.750000] [adversarial loss: 1.138777, acc: 0.328125] 37425: [discriminator loss: 0.555251, acc: 0.734375] [adversarial loss: 1.824467, acc: 0.109375] 37426: [discriminator loss: 0.498597, acc: 0.734375] [adversarial loss: 1.158286, acc: 0.359375] 37427: [discriminator loss: 0.557133, acc: 0.773438] [adversarial loss: 1.593235, acc: 0.187500] 37428: [discriminator loss: 0.489820, acc: 0.742188] [adversarial loss: 0.982224, acc: 0.375000] 37429: [discriminator loss: 0.525709, acc: 0.742188] [adversarial loss: 1.337651, acc: 0.203125] 37430: [discriminator loss: 0.473748, acc: 0.750000] [adversarial loss: 1.260859, acc: 0.218750] 37431: [discriminator loss: 0.574003, acc: 0.734375] [adversarial loss: 1.437011, acc: 0.218750] 37432: [discriminator loss: 0.532361, acc: 0.703125] [adversarial loss: 0.993538, acc: 0.390625] 37433: [discriminator loss: 0.552494, acc: 0.742188] [adversarial loss: 1.925653, acc: 0.031250] 37434: [discriminator loss: 0.502207, acc: 0.765625] [adversarial loss: 1.187614, acc: 0.296875] 37435: [discriminator loss: 0.560704, acc: 0.734375] [adversarial loss: 2.028958, acc: 0.062500] 37436: [discriminator loss: 0.564880, acc: 0.679688] [adversarial loss: 1.051070, acc: 0.359375] 37437: [discriminator loss: 0.475387, acc: 0.734375] [adversarial loss: 1.594152, acc: 0.125000] 37438: [discriminator loss: 0.490088, acc: 0.750000] [adversarial loss: 1.039036, acc: 0.421875] 37439: [discriminator loss: 0.516288, acc: 0.726562] [adversarial loss: 1.984783, acc: 0.109375] 37440: [discriminator loss: 0.477750, acc: 0.750000] [adversarial loss: 1.216579, acc: 0.312500] 37441: [discriminator loss: 0.443268, acc: 0.781250] [adversarial loss: 1.077787, acc: 0.312500] 37442: [discriminator loss: 0.533293, acc: 0.742188] [adversarial loss: 1.358035, acc: 0.296875] 37443: [discriminator loss: 0.465450, acc: 0.781250] [adversarial loss: 1.309634, acc: 0.218750] 37444: [discriminator loss: 0.522019, acc: 0.757812] [adversarial loss: 1.366844, acc: 0.265625] 37445: [discriminator loss: 0.467515, acc: 0.742188] [adversarial loss: 1.489096, acc: 0.218750] 37446: [discriminator loss: 0.483578, acc: 0.750000] [adversarial loss: 1.429771, acc: 0.140625] 37447: [discriminator loss: 0.533651, acc: 0.726562] [adversarial loss: 1.374031, acc: 0.250000] 37448: [discriminator loss: 0.498419, acc: 0.718750] [adversarial loss: 1.220831, acc: 0.312500] 37449: [discriminator loss: 0.516882, acc: 0.742188] [adversarial loss: 1.487531, acc: 0.171875] 37450: [discriminator loss: 0.505838, acc: 0.773438] [adversarial loss: 0.857498, acc: 0.437500] 37451: [discriminator loss: 0.475901, acc: 0.750000] [adversarial loss: 1.622826, acc: 0.109375] 37452: [discriminator loss: 0.495553, acc: 0.726562] [adversarial loss: 0.799848, acc: 0.484375] 37453: [discriminator loss: 0.515756, acc: 0.726562] [adversarial loss: 1.605911, acc: 0.140625] 37454: [discriminator loss: 0.496615, acc: 0.718750] [adversarial loss: 0.983265, acc: 0.406250] 37455: [discriminator loss: 0.539687, acc: 0.718750] [adversarial loss: 1.493282, acc: 0.156250] 37456: [discriminator loss: 0.528788, acc: 0.703125] [adversarial loss: 1.318715, acc: 0.281250] 37457: [discriminator loss: 0.504492, acc: 0.765625] [adversarial loss: 1.072520, acc: 0.328125] 37458: [discriminator loss: 0.510232, acc: 0.757812] [adversarial loss: 1.058071, acc: 0.281250] 37459: [discriminator loss: 0.462679, acc: 0.781250] [adversarial loss: 1.264870, acc: 0.312500] 37460: [discriminator loss: 0.517026, acc: 0.703125] [adversarial loss: 1.251553, acc: 0.296875] 37461: [discriminator loss: 0.549167, acc: 0.710938] [adversarial loss: 1.462195, acc: 0.218750] 37462: [discriminator loss: 0.545353, acc: 0.695312] [adversarial loss: 0.934275, acc: 0.468750] 37463: [discriminator loss: 0.544780, acc: 0.742188] [adversarial loss: 1.697197, acc: 0.109375] 37464: [discriminator loss: 0.518870, acc: 0.710938] [adversarial loss: 1.043374, acc: 0.375000] 37465: [discriminator loss: 0.514337, acc: 0.765625] [adversarial loss: 1.462082, acc: 0.187500] 37466: [discriminator loss: 0.509016, acc: 0.773438] [adversarial loss: 1.302740, acc: 0.281250] 37467: [discriminator loss: 0.457303, acc: 0.781250] [adversarial loss: 1.188476, acc: 0.281250] 37468: [discriminator loss: 0.453608, acc: 0.812500] [adversarial loss: 1.507229, acc: 0.125000] 37469: [discriminator loss: 0.505479, acc: 0.726562] [adversarial loss: 1.043973, acc: 0.437500] 37470: [discriminator loss: 0.497268, acc: 0.750000] [adversarial loss: 1.323692, acc: 0.265625] 37471: [discriminator loss: 0.535853, acc: 0.726562] [adversarial loss: 1.443691, acc: 0.203125] 37472: [discriminator loss: 0.568643, acc: 0.734375] [adversarial loss: 1.127844, acc: 0.390625] 37473: [discriminator loss: 0.502301, acc: 0.710938] [adversarial loss: 1.699872, acc: 0.109375] 37474: [discriminator loss: 0.424256, acc: 0.851562] [adversarial loss: 1.245904, acc: 0.250000] 37475: [discriminator loss: 0.591107, acc: 0.695312] [adversarial loss: 1.478715, acc: 0.156250] 37476: [discriminator loss: 0.545683, acc: 0.718750] [adversarial loss: 1.266219, acc: 0.281250] 37477: [discriminator loss: 0.541241, acc: 0.757812] [adversarial loss: 1.627495, acc: 0.140625] 37478: [discriminator loss: 0.532005, acc: 0.679688] [adversarial loss: 0.985053, acc: 0.375000] 37479: [discriminator loss: 0.537771, acc: 0.742188] [adversarial loss: 1.436993, acc: 0.250000] 37480: [discriminator loss: 0.494878, acc: 0.742188] [adversarial loss: 0.751357, acc: 0.484375] 37481: [discriminator loss: 0.577632, acc: 0.679688] [adversarial loss: 1.789732, acc: 0.093750] 37482: [discriminator loss: 0.552644, acc: 0.671875] [adversarial loss: 0.762512, acc: 0.593750] 37483: [discriminator loss: 0.578025, acc: 0.687500] [adversarial loss: 1.830242, acc: 0.125000] 37484: [discriminator loss: 0.548560, acc: 0.664062] [adversarial loss: 0.886816, acc: 0.531250] 37485: [discriminator loss: 0.542415, acc: 0.687500] [adversarial loss: 1.597637, acc: 0.156250] 37486: [discriminator loss: 0.444928, acc: 0.796875] [adversarial loss: 1.124716, acc: 0.328125] 37487: [discriminator loss: 0.495842, acc: 0.734375] [adversarial loss: 0.962313, acc: 0.406250] 37488: [discriminator loss: 0.476796, acc: 0.789062] [adversarial loss: 1.562491, acc: 0.109375] 37489: [discriminator loss: 0.522382, acc: 0.734375] [adversarial loss: 1.672270, acc: 0.187500] 37490: [discriminator loss: 0.491607, acc: 0.757812] [adversarial loss: 0.838559, acc: 0.531250] 37491: [discriminator loss: 0.517312, acc: 0.750000] [adversarial loss: 1.679094, acc: 0.171875] 37492: [discriminator loss: 0.465422, acc: 0.781250] [adversarial loss: 1.037948, acc: 0.406250] 37493: [discriminator loss: 0.464933, acc: 0.820312] [adversarial loss: 1.489227, acc: 0.171875] 37494: [discriminator loss: 0.497429, acc: 0.742188] [adversarial loss: 1.117007, acc: 0.343750] 37495: [discriminator loss: 0.434772, acc: 0.773438] [adversarial loss: 1.855185, acc: 0.156250] 37496: [discriminator loss: 0.538182, acc: 0.718750] [adversarial loss: 0.968483, acc: 0.437500] 37497: [discriminator loss: 0.471457, acc: 0.804688] [adversarial loss: 1.273226, acc: 0.281250] 37498: [discriminator loss: 0.541321, acc: 0.750000] [adversarial loss: 1.437797, acc: 0.218750] 37499: [discriminator loss: 0.506646, acc: 0.757812] [adversarial loss: 1.146134, acc: 0.343750] 37500: [discriminator loss: 0.548032, acc: 0.656250] [adversarial loss: 1.471845, acc: 0.171875] 37501: [discriminator loss: 0.486244, acc: 0.773438] [adversarial loss: 1.280314, acc: 0.265625] 37502: [discriminator loss: 0.476990, acc: 0.750000] [adversarial loss: 1.004811, acc: 0.359375] 37503: [discriminator loss: 0.491626, acc: 0.718750] [adversarial loss: 1.696083, acc: 0.140625] 37504: [discriminator loss: 0.605900, acc: 0.664062] [adversarial loss: 0.675577, acc: 0.625000] 37505: [discriminator loss: 0.533678, acc: 0.726562] [adversarial loss: 1.483153, acc: 0.218750] 37506: [discriminator loss: 0.575121, acc: 0.625000] [adversarial loss: 1.229717, acc: 0.265625] 37507: [discriminator loss: 0.531799, acc: 0.726562] [adversarial loss: 1.927818, acc: 0.046875] 37508: [discriminator loss: 0.531488, acc: 0.750000] [adversarial loss: 1.055995, acc: 0.375000] 37509: [discriminator loss: 0.477135, acc: 0.718750] [adversarial loss: 1.500022, acc: 0.171875] 37510: [discriminator loss: 0.580679, acc: 0.710938] [adversarial loss: 1.280605, acc: 0.250000] 37511: [discriminator loss: 0.479418, acc: 0.742188] [adversarial loss: 1.340837, acc: 0.250000] 37512: [discriminator loss: 0.602724, acc: 0.640625] [adversarial loss: 1.181888, acc: 0.281250] 37513: [discriminator loss: 0.469469, acc: 0.796875] [adversarial loss: 1.527000, acc: 0.109375] 37514: [discriminator loss: 0.459298, acc: 0.765625] [adversarial loss: 1.411215, acc: 0.234375] 37515: [discriminator loss: 0.560297, acc: 0.703125] [adversarial loss: 1.678523, acc: 0.140625] 37516: [discriminator loss: 0.521467, acc: 0.742188] [adversarial loss: 0.906338, acc: 0.453125] 37517: [discriminator loss: 0.612948, acc: 0.648438] [adversarial loss: 1.483703, acc: 0.218750] 37518: [discriminator loss: 0.505744, acc: 0.734375] [adversarial loss: 0.875499, acc: 0.468750] 37519: [discriminator loss: 0.480377, acc: 0.773438] [adversarial loss: 1.739041, acc: 0.109375] 37520: [discriminator loss: 0.453732, acc: 0.789062] [adversarial loss: 1.179842, acc: 0.328125] 37521: [discriminator loss: 0.440182, acc: 0.773438] [adversarial loss: 1.813578, acc: 0.031250] 37522: [discriminator loss: 0.480071, acc: 0.781250] [adversarial loss: 1.234186, acc: 0.281250] 37523: [discriminator loss: 0.497991, acc: 0.781250] [adversarial loss: 1.356895, acc: 0.281250] 37524: [discriminator loss: 0.451254, acc: 0.796875] [adversarial loss: 1.409000, acc: 0.312500] 37525: [discriminator loss: 0.511585, acc: 0.734375] [adversarial loss: 1.127068, acc: 0.328125] 37526: [discriminator loss: 0.463405, acc: 0.789062] [adversarial loss: 1.424615, acc: 0.218750] 37527: [discriminator loss: 0.504065, acc: 0.703125] [adversarial loss: 0.828481, acc: 0.515625] 37528: [discriminator loss: 0.578692, acc: 0.710938] [adversarial loss: 1.891395, acc: 0.109375] 37529: [discriminator loss: 0.517250, acc: 0.742188] [adversarial loss: 0.915390, acc: 0.421875] 37530: [discriminator loss: 0.527546, acc: 0.734375] [adversarial loss: 1.457597, acc: 0.093750] 37531: [discriminator loss: 0.515380, acc: 0.718750] [adversarial loss: 1.015516, acc: 0.421875] 37532: [discriminator loss: 0.584758, acc: 0.679688] [adversarial loss: 1.567280, acc: 0.078125] 37533: [discriminator loss: 0.559500, acc: 0.671875] [adversarial loss: 0.915985, acc: 0.406250] 37534: [discriminator loss: 0.608243, acc: 0.671875] [adversarial loss: 1.719070, acc: 0.062500] 37535: [discriminator loss: 0.555754, acc: 0.679688] [adversarial loss: 0.725919, acc: 0.609375] 37536: [discriminator loss: 0.607369, acc: 0.695312] [adversarial loss: 1.773977, acc: 0.078125] 37537: [discriminator loss: 0.536280, acc: 0.648438] [adversarial loss: 1.075061, acc: 0.375000] 37538: [discriminator loss: 0.541498, acc: 0.734375] [adversarial loss: 1.360638, acc: 0.250000] 37539: [discriminator loss: 0.515740, acc: 0.750000] [adversarial loss: 1.275074, acc: 0.218750] 37540: [discriminator loss: 0.512277, acc: 0.687500] [adversarial loss: 1.471823, acc: 0.171875] 37541: [discriminator loss: 0.505910, acc: 0.703125] [adversarial loss: 1.264479, acc: 0.281250] 37542: [discriminator loss: 0.494064, acc: 0.750000] [adversarial loss: 1.272873, acc: 0.312500] 37543: [discriminator loss: 0.472815, acc: 0.773438] [adversarial loss: 1.233645, acc: 0.250000] 37544: [discriminator loss: 0.510313, acc: 0.750000] [adversarial loss: 1.499389, acc: 0.156250] 37545: [discriminator loss: 0.472842, acc: 0.773438] [adversarial loss: 1.182986, acc: 0.234375] 37546: [discriminator loss: 0.507843, acc: 0.742188] [adversarial loss: 1.452750, acc: 0.140625] 37547: [discriminator loss: 0.490426, acc: 0.742188] [adversarial loss: 1.158190, acc: 0.312500] 37548: [discriminator loss: 0.451243, acc: 0.789062] [adversarial loss: 1.335818, acc: 0.171875] 37549: [discriminator loss: 0.490899, acc: 0.796875] [adversarial loss: 1.405697, acc: 0.281250] 37550: [discriminator loss: 0.570068, acc: 0.687500] [adversarial loss: 1.238943, acc: 0.312500] 37551: [discriminator loss: 0.599540, acc: 0.687500] [adversarial loss: 1.576581, acc: 0.156250] 37552: [discriminator loss: 0.475526, acc: 0.773438] [adversarial loss: 0.745845, acc: 0.546875] 37553: [discriminator loss: 0.518348, acc: 0.742188] [adversarial loss: 1.478847, acc: 0.109375] 37554: [discriminator loss: 0.513540, acc: 0.734375] [adversarial loss: 1.152167, acc: 0.296875] 37555: [discriminator loss: 0.513629, acc: 0.726562] [adversarial loss: 1.764498, acc: 0.062500] 37556: [discriminator loss: 0.497873, acc: 0.804688] [adversarial loss: 1.246709, acc: 0.281250] 37557: [discriminator loss: 0.516007, acc: 0.726562] [adversarial loss: 1.354600, acc: 0.171875] 37558: [discriminator loss: 0.499156, acc: 0.757812] [adversarial loss: 1.545942, acc: 0.156250] 37559: [discriminator loss: 0.508222, acc: 0.734375] [adversarial loss: 1.506863, acc: 0.156250] 37560: [discriminator loss: 0.489320, acc: 0.789062] [adversarial loss: 1.456615, acc: 0.281250] 37561: [discriminator loss: 0.582784, acc: 0.671875] [adversarial loss: 1.351870, acc: 0.343750] 37562: [discriminator loss: 0.489484, acc: 0.765625] [adversarial loss: 1.251492, acc: 0.203125] 37563: [discriminator loss: 0.506092, acc: 0.726562] [adversarial loss: 1.116561, acc: 0.265625] 37564: [discriminator loss: 0.519992, acc: 0.773438] [adversarial loss: 1.360582, acc: 0.281250] 37565: [discriminator loss: 0.492324, acc: 0.750000] [adversarial loss: 1.484964, acc: 0.156250] 37566: [discriminator loss: 0.502984, acc: 0.742188] [adversarial loss: 1.275884, acc: 0.343750] 37567: [discriminator loss: 0.455169, acc: 0.781250] [adversarial loss: 1.182543, acc: 0.359375] 37568: [discriminator loss: 0.517315, acc: 0.734375] [adversarial loss: 1.268897, acc: 0.281250] 37569: [discriminator loss: 0.529192, acc: 0.671875] [adversarial loss: 1.582035, acc: 0.125000] 37570: [discriminator loss: 0.570663, acc: 0.695312] [adversarial loss: 1.033949, acc: 0.421875] 37571: [discriminator loss: 0.535631, acc: 0.710938] [adversarial loss: 1.790301, acc: 0.109375] 37572: [discriminator loss: 0.619611, acc: 0.656250] [adversarial loss: 0.768547, acc: 0.515625] 37573: [discriminator loss: 0.542491, acc: 0.695312] [adversarial loss: 1.782528, acc: 0.078125] 37574: [discriminator loss: 0.544879, acc: 0.734375] [adversarial loss: 1.110207, acc: 0.312500] 37575: [discriminator loss: 0.575398, acc: 0.703125] [adversarial loss: 1.763842, acc: 0.062500] 37576: [discriminator loss: 0.552478, acc: 0.710938] [adversarial loss: 1.015180, acc: 0.328125] 37577: [discriminator loss: 0.490882, acc: 0.757812] [adversarial loss: 1.521549, acc: 0.140625] 37578: [discriminator loss: 0.458759, acc: 0.796875] [adversarial loss: 1.474704, acc: 0.171875] 37579: [discriminator loss: 0.485146, acc: 0.773438] [adversarial loss: 1.257843, acc: 0.218750] 37580: [discriminator loss: 0.462636, acc: 0.789062] [adversarial loss: 1.535329, acc: 0.078125] 37581: [discriminator loss: 0.430653, acc: 0.789062] [adversarial loss: 1.475816, acc: 0.281250] 37582: [discriminator loss: 0.532583, acc: 0.742188] [adversarial loss: 1.360854, acc: 0.250000] 37583: [discriminator loss: 0.551634, acc: 0.703125] [adversarial loss: 1.287581, acc: 0.187500] 37584: [discriminator loss: 0.473971, acc: 0.789062] [adversarial loss: 1.690023, acc: 0.078125] 37585: [discriminator loss: 0.440176, acc: 0.765625] [adversarial loss: 0.923715, acc: 0.390625] 37586: [discriminator loss: 0.503583, acc: 0.742188] [adversarial loss: 1.601221, acc: 0.156250] 37587: [discriminator loss: 0.447426, acc: 0.781250] [adversarial loss: 1.238638, acc: 0.265625] 37588: [discriminator loss: 0.545408, acc: 0.695312] [adversarial loss: 1.087636, acc: 0.328125] 37589: [discriminator loss: 0.546722, acc: 0.695312] [adversarial loss: 1.203713, acc: 0.296875] 37590: [discriminator loss: 0.486686, acc: 0.703125] [adversarial loss: 1.549158, acc: 0.125000] 37591: [discriminator loss: 0.456567, acc: 0.781250] [adversarial loss: 0.991351, acc: 0.390625] 37592: [discriminator loss: 0.608505, acc: 0.703125] [adversarial loss: 1.616218, acc: 0.125000] 37593: [discriminator loss: 0.519792, acc: 0.750000] [adversarial loss: 1.136501, acc: 0.312500] 37594: [discriminator loss: 0.491144, acc: 0.765625] [adversarial loss: 1.294463, acc: 0.265625] 37595: [discriminator loss: 0.579512, acc: 0.703125] [adversarial loss: 1.410510, acc: 0.171875] 37596: [discriminator loss: 0.473746, acc: 0.804688] [adversarial loss: 1.219559, acc: 0.265625] 37597: [discriminator loss: 0.554406, acc: 0.710938] [adversarial loss: 1.087014, acc: 0.265625] 37598: [discriminator loss: 0.509731, acc: 0.750000] [adversarial loss: 1.537911, acc: 0.156250] 37599: [discriminator loss: 0.564673, acc: 0.671875] [adversarial loss: 1.123146, acc: 0.250000] 37600: [discriminator loss: 0.513032, acc: 0.726562] [adversarial loss: 1.197251, acc: 0.250000] 37601: [discriminator loss: 0.475973, acc: 0.726562] [adversarial loss: 1.274825, acc: 0.250000] 37602: [discriminator loss: 0.472462, acc: 0.718750] [adversarial loss: 1.600728, acc: 0.109375] 37603: [discriminator loss: 0.533164, acc: 0.742188] [adversarial loss: 1.020220, acc: 0.390625] 37604: [discriminator loss: 0.509567, acc: 0.726562] [adversarial loss: 1.761017, acc: 0.187500] 37605: [discriminator loss: 0.541368, acc: 0.734375] [adversarial loss: 1.175192, acc: 0.312500] 37606: [discriminator loss: 0.579870, acc: 0.695312] [adversarial loss: 1.293004, acc: 0.265625] 37607: [discriminator loss: 0.456872, acc: 0.773438] [adversarial loss: 1.004248, acc: 0.375000] 37608: [discriminator loss: 0.507937, acc: 0.750000] [adversarial loss: 1.610736, acc: 0.140625] 37609: [discriminator loss: 0.577145, acc: 0.695312] [adversarial loss: 1.243779, acc: 0.281250] 37610: [discriminator loss: 0.416085, acc: 0.828125] [adversarial loss: 1.521618, acc: 0.125000] 37611: [discriminator loss: 0.523877, acc: 0.734375] [adversarial loss: 1.108546, acc: 0.312500] 37612: [discriminator loss: 0.476569, acc: 0.757812] [adversarial loss: 1.533768, acc: 0.218750] 37613: [discriminator loss: 0.562295, acc: 0.703125] [adversarial loss: 1.208487, acc: 0.265625] 37614: [discriminator loss: 0.564232, acc: 0.703125] [adversarial loss: 1.664858, acc: 0.078125] 37615: [discriminator loss: 0.571772, acc: 0.679688] [adversarial loss: 1.102197, acc: 0.343750] 37616: [discriminator loss: 0.450871, acc: 0.781250] [adversarial loss: 1.471898, acc: 0.125000] 37617: [discriminator loss: 0.495091, acc: 0.742188] [adversarial loss: 1.392576, acc: 0.203125] 37618: [discriminator loss: 0.494175, acc: 0.765625] [adversarial loss: 1.180566, acc: 0.281250] 37619: [discriminator loss: 0.477456, acc: 0.765625] [adversarial loss: 1.225932, acc: 0.296875] 37620: [discriminator loss: 0.536869, acc: 0.726562] [adversarial loss: 1.192208, acc: 0.328125] 37621: [discriminator loss: 0.504426, acc: 0.757812] [adversarial loss: 1.394711, acc: 0.265625] 37622: [discriminator loss: 0.499435, acc: 0.781250] [adversarial loss: 0.910750, acc: 0.359375] 37623: [discriminator loss: 0.499146, acc: 0.718750] [adversarial loss: 1.328009, acc: 0.312500] 37624: [discriminator loss: 0.505785, acc: 0.757812] [adversarial loss: 0.915966, acc: 0.437500] 37625: [discriminator loss: 0.516815, acc: 0.718750] [adversarial loss: 1.667684, acc: 0.109375] 37626: [discriminator loss: 0.490972, acc: 0.757812] [adversarial loss: 1.332284, acc: 0.203125] 37627: [discriminator loss: 0.428095, acc: 0.796875] [adversarial loss: 0.991724, acc: 0.406250] 37628: [discriminator loss: 0.473035, acc: 0.765625] [adversarial loss: 1.310081, acc: 0.250000] 37629: [discriminator loss: 0.419865, acc: 0.835938] [adversarial loss: 1.196633, acc: 0.312500] 37630: [discriminator loss: 0.490005, acc: 0.765625] [adversarial loss: 1.447019, acc: 0.156250] 37631: [discriminator loss: 0.557172, acc: 0.671875] [adversarial loss: 0.692228, acc: 0.625000] 37632: [discriminator loss: 0.534177, acc: 0.726562] [adversarial loss: 1.602552, acc: 0.187500] 37633: [discriminator loss: 0.506069, acc: 0.734375] [adversarial loss: 0.991859, acc: 0.375000] 37634: [discriminator loss: 0.535119, acc: 0.734375] [adversarial loss: 1.525366, acc: 0.171875] 37635: [discriminator loss: 0.495290, acc: 0.726562] [adversarial loss: 0.986671, acc: 0.375000] 37636: [discriminator loss: 0.507285, acc: 0.757812] [adversarial loss: 1.356130, acc: 0.218750] 37637: [discriminator loss: 0.505058, acc: 0.718750] [adversarial loss: 1.208287, acc: 0.281250] 37638: [discriminator loss: 0.492481, acc: 0.804688] [adversarial loss: 1.321057, acc: 0.250000] 37639: [discriminator loss: 0.441983, acc: 0.804688] [adversarial loss: 1.008154, acc: 0.390625] 37640: [discriminator loss: 0.522315, acc: 0.742188] [adversarial loss: 1.570212, acc: 0.234375] 37641: [discriminator loss: 0.563433, acc: 0.695312] [adversarial loss: 1.146292, acc: 0.296875] 37642: [discriminator loss: 0.422378, acc: 0.820312] [adversarial loss: 1.138575, acc: 0.296875] 37643: [discriminator loss: 0.528318, acc: 0.718750] [adversarial loss: 1.196957, acc: 0.281250] 37644: [discriminator loss: 0.539748, acc: 0.695312] [adversarial loss: 1.622660, acc: 0.125000] 37645: [discriminator loss: 0.507553, acc: 0.750000] [adversarial loss: 0.771542, acc: 0.546875] 37646: [discriminator loss: 0.511050, acc: 0.765625] [adversarial loss: 1.958749, acc: 0.031250] 37647: [discriminator loss: 0.633447, acc: 0.671875] [adversarial loss: 0.852356, acc: 0.515625] 37648: [discriminator loss: 0.624115, acc: 0.664062] [adversarial loss: 1.518723, acc: 0.171875] 37649: [discriminator loss: 0.502374, acc: 0.757812] [adversarial loss: 1.056737, acc: 0.390625] 37650: [discriminator loss: 0.496416, acc: 0.742188] [adversarial loss: 1.444331, acc: 0.125000] 37651: [discriminator loss: 0.464474, acc: 0.789062] [adversarial loss: 1.272041, acc: 0.250000] 37652: [discriminator loss: 0.467540, acc: 0.781250] [adversarial loss: 1.365565, acc: 0.187500] 37653: [discriminator loss: 0.477610, acc: 0.765625] [adversarial loss: 1.067792, acc: 0.421875] 37654: [discriminator loss: 0.515643, acc: 0.726562] [adversarial loss: 1.214929, acc: 0.265625] 37655: [discriminator loss: 0.435310, acc: 0.765625] [adversarial loss: 1.362808, acc: 0.171875] 37656: [discriminator loss: 0.496042, acc: 0.781250] [adversarial loss: 1.332527, acc: 0.156250] 37657: [discriminator loss: 0.459069, acc: 0.820312] [adversarial loss: 1.252736, acc: 0.281250] 37658: [discriminator loss: 0.497434, acc: 0.781250] [adversarial loss: 1.061856, acc: 0.390625] 37659: [discriminator loss: 0.565273, acc: 0.664062] [adversarial loss: 1.673234, acc: 0.125000] 37660: [discriminator loss: 0.553758, acc: 0.710938] [adversarial loss: 0.864171, acc: 0.453125] 37661: [discriminator loss: 0.496202, acc: 0.750000] [adversarial loss: 1.341936, acc: 0.218750] 37662: [discriminator loss: 0.498784, acc: 0.765625] [adversarial loss: 1.144871, acc: 0.328125] 37663: [discriminator loss: 0.586905, acc: 0.695312] [adversarial loss: 2.094841, acc: 0.109375] 37664: [discriminator loss: 0.502139, acc: 0.757812] [adversarial loss: 0.945730, acc: 0.500000] 37665: [discriminator loss: 0.590506, acc: 0.703125] [adversarial loss: 1.239093, acc: 0.234375] 37666: [discriminator loss: 0.498067, acc: 0.703125] [adversarial loss: 1.183838, acc: 0.375000] 37667: [discriminator loss: 0.552482, acc: 0.734375] [adversarial loss: 1.525753, acc: 0.156250] 37668: [discriminator loss: 0.515529, acc: 0.742188] [adversarial loss: 1.660569, acc: 0.125000] 37669: [discriminator loss: 0.480393, acc: 0.773438] [adversarial loss: 1.188299, acc: 0.250000] 37670: [discriminator loss: 0.476112, acc: 0.773438] [adversarial loss: 1.361868, acc: 0.234375] 37671: [discriminator loss: 0.497657, acc: 0.757812] [adversarial loss: 1.551844, acc: 0.156250] 37672: [discriminator loss: 0.511174, acc: 0.742188] [adversarial loss: 0.982799, acc: 0.375000] 37673: [discriminator loss: 0.518435, acc: 0.710938] [adversarial loss: 1.903025, acc: 0.109375] 37674: [discriminator loss: 0.638187, acc: 0.632812] [adversarial loss: 0.814991, acc: 0.515625] 37675: [discriminator loss: 0.597641, acc: 0.750000] [adversarial loss: 1.659408, acc: 0.125000] 37676: [discriminator loss: 0.561954, acc: 0.710938] [adversarial loss: 1.316982, acc: 0.234375] 37677: [discriminator loss: 0.506985, acc: 0.734375] [adversarial loss: 1.381534, acc: 0.187500] 37678: [discriminator loss: 0.544439, acc: 0.687500] [adversarial loss: 1.428495, acc: 0.281250] 37679: [discriminator loss: 0.526190, acc: 0.695312] [adversarial loss: 1.577089, acc: 0.156250] 37680: [discriminator loss: 0.472650, acc: 0.726562] [adversarial loss: 1.164382, acc: 0.296875] 37681: [discriminator loss: 0.456122, acc: 0.812500] [adversarial loss: 1.392785, acc: 0.265625] 37682: [discriminator loss: 0.518814, acc: 0.750000] [adversarial loss: 1.310267, acc: 0.312500] 37683: [discriminator loss: 0.459187, acc: 0.804688] [adversarial loss: 1.310733, acc: 0.218750] 37684: [discriminator loss: 0.512928, acc: 0.765625] [adversarial loss: 1.316059, acc: 0.203125] 37685: [discriminator loss: 0.492506, acc: 0.750000] [adversarial loss: 1.117189, acc: 0.359375] 37686: [discriminator loss: 0.534444, acc: 0.757812] [adversarial loss: 1.567890, acc: 0.140625] 37687: [discriminator loss: 0.485063, acc: 0.734375] [adversarial loss: 0.929072, acc: 0.375000] 37688: [discriminator loss: 0.479921, acc: 0.726562] [adversarial loss: 1.527586, acc: 0.203125] 37689: [discriminator loss: 0.466806, acc: 0.757812] [adversarial loss: 0.967895, acc: 0.437500] 37690: [discriminator loss: 0.541779, acc: 0.695312] [adversarial loss: 1.587914, acc: 0.093750] 37691: [discriminator loss: 0.497587, acc: 0.796875] [adversarial loss: 0.877048, acc: 0.437500] 37692: [discriminator loss: 0.470751, acc: 0.796875] [adversarial loss: 1.595524, acc: 0.125000] 37693: [discriminator loss: 0.500692, acc: 0.734375] [adversarial loss: 0.927171, acc: 0.453125] 37694: [discriminator loss: 0.595450, acc: 0.687500] [adversarial loss: 1.724205, acc: 0.093750] 37695: [discriminator loss: 0.490088, acc: 0.750000] [adversarial loss: 1.037921, acc: 0.406250] 37696: [discriminator loss: 0.473044, acc: 0.773438] [adversarial loss: 1.241064, acc: 0.265625] 37697: [discriminator loss: 0.537467, acc: 0.718750] [adversarial loss: 1.295671, acc: 0.250000] 37698: [discriminator loss: 0.495767, acc: 0.718750] [adversarial loss: 1.681510, acc: 0.187500] 37699: [discriminator loss: 0.567290, acc: 0.687500] [adversarial loss: 1.252290, acc: 0.234375] 37700: [discriminator loss: 0.561957, acc: 0.710938] [adversarial loss: 1.547828, acc: 0.140625] 37701: [discriminator loss: 0.537672, acc: 0.718750] [adversarial loss: 1.016103, acc: 0.312500] 37702: [discriminator loss: 0.435344, acc: 0.828125] [adversarial loss: 1.863533, acc: 0.156250] 37703: [discriminator loss: 0.576431, acc: 0.640625] [adversarial loss: 1.068190, acc: 0.312500] 37704: [discriminator loss: 0.510186, acc: 0.750000] [adversarial loss: 1.393640, acc: 0.234375] 37705: [discriminator loss: 0.410861, acc: 0.812500] [adversarial loss: 1.259612, acc: 0.203125] 37706: [discriminator loss: 0.465895, acc: 0.781250] [adversarial loss: 1.357889, acc: 0.171875] 37707: [discriminator loss: 0.505740, acc: 0.695312] [adversarial loss: 1.283758, acc: 0.296875] 37708: [discriminator loss: 0.590534, acc: 0.710938] [adversarial loss: 1.346081, acc: 0.281250] 37709: [discriminator loss: 0.513248, acc: 0.718750] [adversarial loss: 1.524836, acc: 0.156250] 37710: [discriminator loss: 0.426234, acc: 0.804688] [adversarial loss: 1.616400, acc: 0.109375] 37711: [discriminator loss: 0.433093, acc: 0.789062] [adversarial loss: 1.069000, acc: 0.390625] 37712: [discriminator loss: 0.535625, acc: 0.765625] [adversarial loss: 2.143454, acc: 0.062500] 37713: [discriminator loss: 0.584814, acc: 0.695312] [adversarial loss: 0.938303, acc: 0.453125] 37714: [discriminator loss: 0.551889, acc: 0.703125] [adversarial loss: 1.784456, acc: 0.109375] 37715: [discriminator loss: 0.570165, acc: 0.664062] [adversarial loss: 0.966096, acc: 0.359375] 37716: [discriminator loss: 0.508426, acc: 0.726562] [adversarial loss: 1.691194, acc: 0.031250] 37717: [discriminator loss: 0.527909, acc: 0.718750] [adversarial loss: 1.215147, acc: 0.296875] 37718: [discriminator loss: 0.479303, acc: 0.765625] [adversarial loss: 1.189839, acc: 0.265625] 37719: [discriminator loss: 0.469388, acc: 0.781250] [adversarial loss: 1.419031, acc: 0.171875] 37720: [discriminator loss: 0.428664, acc: 0.781250] [adversarial loss: 0.900959, acc: 0.484375] 37721: [discriminator loss: 0.457317, acc: 0.781250] [adversarial loss: 1.679590, acc: 0.109375] 37722: [discriminator loss: 0.509883, acc: 0.718750] [adversarial loss: 0.900249, acc: 0.437500] 37723: [discriminator loss: 0.610239, acc: 0.695312] [adversarial loss: 1.649520, acc: 0.109375] 37724: [discriminator loss: 0.495014, acc: 0.742188] [adversarial loss: 0.935682, acc: 0.500000] 37725: [discriminator loss: 0.544218, acc: 0.750000] [adversarial loss: 1.494804, acc: 0.203125] 37726: [discriminator loss: 0.488226, acc: 0.757812] [adversarial loss: 1.500111, acc: 0.187500] 37727: [discriminator loss: 0.509642, acc: 0.765625] [adversarial loss: 1.323589, acc: 0.250000] 37728: [discriminator loss: 0.511522, acc: 0.734375] [adversarial loss: 1.178664, acc: 0.328125] 37729: [discriminator loss: 0.541615, acc: 0.773438] [adversarial loss: 1.171952, acc: 0.328125] 37730: [discriminator loss: 0.531922, acc: 0.781250] [adversarial loss: 1.804798, acc: 0.062500] 37731: [discriminator loss: 0.433462, acc: 0.789062] [adversarial loss: 1.126451, acc: 0.343750] 37732: [discriminator loss: 0.523423, acc: 0.703125] [adversarial loss: 1.809175, acc: 0.109375] 37733: [discriminator loss: 0.505964, acc: 0.750000] [adversarial loss: 1.479753, acc: 0.187500] 37734: [discriminator loss: 0.422853, acc: 0.781250] [adversarial loss: 1.659915, acc: 0.093750] 37735: [discriminator loss: 0.499254, acc: 0.757812] [adversarial loss: 1.128363, acc: 0.265625] 37736: [discriminator loss: 0.471470, acc: 0.765625] [adversarial loss: 1.509129, acc: 0.171875] 37737: [discriminator loss: 0.524710, acc: 0.734375] [adversarial loss: 1.117821, acc: 0.421875] 37738: [discriminator loss: 0.507374, acc: 0.742188] [adversarial loss: 1.595043, acc: 0.203125] 37739: [discriminator loss: 0.549960, acc: 0.726562] [adversarial loss: 0.958678, acc: 0.437500] 37740: [discriminator loss: 0.568965, acc: 0.695312] [adversarial loss: 1.857399, acc: 0.062500] 37741: [discriminator loss: 0.580778, acc: 0.632812] [adversarial loss: 0.938625, acc: 0.453125] 37742: [discriminator loss: 0.486373, acc: 0.781250] [adversarial loss: 1.452231, acc: 0.234375] 37743: [discriminator loss: 0.553128, acc: 0.757812] [adversarial loss: 1.252252, acc: 0.328125] 37744: [discriminator loss: 0.583223, acc: 0.687500] [adversarial loss: 1.613503, acc: 0.156250] 37745: [discriminator loss: 0.534789, acc: 0.679688] [adversarial loss: 1.037799, acc: 0.359375] 37746: [discriminator loss: 0.511376, acc: 0.734375] [adversarial loss: 1.709809, acc: 0.093750] 37747: [discriminator loss: 0.542824, acc: 0.750000] [adversarial loss: 1.009909, acc: 0.437500] 37748: [discriminator loss: 0.415186, acc: 0.835938] [adversarial loss: 1.238463, acc: 0.218750] 37749: [discriminator loss: 0.498266, acc: 0.710938] [adversarial loss: 1.125495, acc: 0.406250] 37750: [discriminator loss: 0.505925, acc: 0.750000] [adversarial loss: 1.211540, acc: 0.281250] 37751: [discriminator loss: 0.556964, acc: 0.750000] [adversarial loss: 1.113110, acc: 0.359375] 37752: [discriminator loss: 0.408746, acc: 0.835938] [adversarial loss: 1.279502, acc: 0.296875] 37753: [discriminator loss: 0.466847, acc: 0.750000] [adversarial loss: 1.518457, acc: 0.156250] 37754: [discriminator loss: 0.492629, acc: 0.750000] [adversarial loss: 1.493298, acc: 0.187500] 37755: [discriminator loss: 0.467757, acc: 0.750000] [adversarial loss: 1.171406, acc: 0.250000] 37756: [discriminator loss: 0.505444, acc: 0.718750] [adversarial loss: 1.249531, acc: 0.312500] 37757: [discriminator loss: 0.495286, acc: 0.757812] [adversarial loss: 1.099579, acc: 0.359375] 37758: [discriminator loss: 0.551918, acc: 0.703125] [adversarial loss: 1.621299, acc: 0.140625] 37759: [discriminator loss: 0.442133, acc: 0.773438] [adversarial loss: 1.465044, acc: 0.234375] 37760: [discriminator loss: 0.408264, acc: 0.820312] [adversarial loss: 1.373826, acc: 0.187500] 37761: [discriminator loss: 0.450939, acc: 0.757812] [adversarial loss: 1.527991, acc: 0.218750] 37762: [discriminator loss: 0.489321, acc: 0.789062] [adversarial loss: 1.053531, acc: 0.312500] 37763: [discriminator loss: 0.558981, acc: 0.757812] [adversarial loss: 1.782154, acc: 0.093750] 37764: [discriminator loss: 0.463407, acc: 0.750000] [adversarial loss: 1.214858, acc: 0.281250] 37765: [discriminator loss: 0.476705, acc: 0.773438] [adversarial loss: 1.609321, acc: 0.156250] 37766: [discriminator loss: 0.464042, acc: 0.804688] [adversarial loss: 1.160257, acc: 0.281250] 37767: [discriminator loss: 0.514873, acc: 0.703125] [adversarial loss: 1.521636, acc: 0.156250] 37768: [discriminator loss: 0.463489, acc: 0.773438] [adversarial loss: 1.132400, acc: 0.281250] 37769: [discriminator loss: 0.495127, acc: 0.812500] [adversarial loss: 1.611212, acc: 0.140625] 37770: [discriminator loss: 0.524541, acc: 0.734375] [adversarial loss: 1.215558, acc: 0.281250] 37771: [discriminator loss: 0.529147, acc: 0.703125] [adversarial loss: 1.155587, acc: 0.343750] 37772: [discriminator loss: 0.434794, acc: 0.804688] [adversarial loss: 1.793519, acc: 0.109375] 37773: [discriminator loss: 0.538695, acc: 0.679688] [adversarial loss: 1.078528, acc: 0.359375] 37774: [discriminator loss: 0.564430, acc: 0.718750] [adversarial loss: 2.216078, acc: 0.046875] 37775: [discriminator loss: 0.544315, acc: 0.710938] [adversarial loss: 1.017678, acc: 0.390625] 37776: [discriminator loss: 0.540701, acc: 0.718750] [adversarial loss: 1.136495, acc: 0.234375] 37777: [discriminator loss: 0.512647, acc: 0.804688] [adversarial loss: 1.428385, acc: 0.203125] 37778: [discriminator loss: 0.521772, acc: 0.710938] [adversarial loss: 1.157100, acc: 0.343750] 37779: [discriminator loss: 0.514799, acc: 0.781250] [adversarial loss: 1.212467, acc: 0.312500] 37780: [discriminator loss: 0.468356, acc: 0.757812] [adversarial loss: 0.971425, acc: 0.484375] 37781: [discriminator loss: 0.542254, acc: 0.703125] [adversarial loss: 1.987055, acc: 0.078125] 37782: [discriminator loss: 0.507709, acc: 0.726562] [adversarial loss: 0.850302, acc: 0.453125] 37783: [discriminator loss: 0.667019, acc: 0.671875] [adversarial loss: 1.956676, acc: 0.078125] 37784: [discriminator loss: 0.548984, acc: 0.695312] [adversarial loss: 1.048747, acc: 0.359375] 37785: [discriminator loss: 0.526890, acc: 0.703125] [adversarial loss: 1.285402, acc: 0.203125] 37786: [discriminator loss: 0.536859, acc: 0.742188] [adversarial loss: 0.960452, acc: 0.359375] 37787: [discriminator loss: 0.569287, acc: 0.718750] [adversarial loss: 1.608027, acc: 0.203125] 37788: [discriminator loss: 0.524211, acc: 0.679688] [adversarial loss: 1.033720, acc: 0.375000] 37789: [discriminator loss: 0.487217, acc: 0.773438] [adversarial loss: 1.545153, acc: 0.187500] 37790: [discriminator loss: 0.531343, acc: 0.734375] [adversarial loss: 1.205080, acc: 0.265625] 37791: [discriminator loss: 0.481721, acc: 0.773438] [adversarial loss: 1.748931, acc: 0.125000] 37792: [discriminator loss: 0.498318, acc: 0.742188] [adversarial loss: 1.075568, acc: 0.312500] 37793: [discriminator loss: 0.545444, acc: 0.718750] [adversarial loss: 1.372378, acc: 0.156250] 37794: [discriminator loss: 0.544394, acc: 0.703125] [adversarial loss: 1.035658, acc: 0.328125] 37795: [discriminator loss: 0.493047, acc: 0.765625] [adversarial loss: 1.584552, acc: 0.203125] 37796: [discriminator loss: 0.534128, acc: 0.695312] [adversarial loss: 1.024995, acc: 0.390625] 37797: [discriminator loss: 0.473249, acc: 0.773438] [adversarial loss: 1.493926, acc: 0.203125] 37798: [discriminator loss: 0.521271, acc: 0.726562] [adversarial loss: 1.300222, acc: 0.187500] 37799: [discriminator loss: 0.488451, acc: 0.742188] [adversarial loss: 1.132969, acc: 0.296875] 37800: [discriminator loss: 0.521678, acc: 0.765625] [adversarial loss: 1.453899, acc: 0.156250] 37801: [discriminator loss: 0.461127, acc: 0.781250] [adversarial loss: 1.038031, acc: 0.453125] 37802: [discriminator loss: 0.535995, acc: 0.687500] [adversarial loss: 2.009202, acc: 0.046875] 37803: [discriminator loss: 0.526048, acc: 0.750000] [adversarial loss: 0.965423, acc: 0.343750] 37804: [discriminator loss: 0.517696, acc: 0.718750] [adversarial loss: 1.749847, acc: 0.125000] 37805: [discriminator loss: 0.441469, acc: 0.796875] [adversarial loss: 1.008420, acc: 0.359375] 37806: [discriminator loss: 0.478487, acc: 0.742188] [adversarial loss: 1.496506, acc: 0.218750] 37807: [discriminator loss: 0.553997, acc: 0.750000] [adversarial loss: 1.282528, acc: 0.375000] 37808: [discriminator loss: 0.461581, acc: 0.773438] [adversarial loss: 1.449421, acc: 0.203125] 37809: [discriminator loss: 0.492039, acc: 0.765625] [adversarial loss: 1.069726, acc: 0.281250] 37810: [discriminator loss: 0.487465, acc: 0.757812] [adversarial loss: 1.532519, acc: 0.187500] 37811: [discriminator loss: 0.506635, acc: 0.757812] [adversarial loss: 0.906326, acc: 0.437500] 37812: [discriminator loss: 0.505999, acc: 0.742188] [adversarial loss: 1.721196, acc: 0.062500] 37813: [discriminator loss: 0.471182, acc: 0.789062] [adversarial loss: 1.167318, acc: 0.296875] 37814: [discriminator loss: 0.568652, acc: 0.703125] [adversarial loss: 1.789650, acc: 0.109375] 37815: [discriminator loss: 0.517887, acc: 0.765625] [adversarial loss: 1.070676, acc: 0.343750] 37816: [discriminator loss: 0.567069, acc: 0.703125] [adversarial loss: 1.491134, acc: 0.234375] 37817: [discriminator loss: 0.443131, acc: 0.765625] [adversarial loss: 1.539976, acc: 0.218750] 37818: [discriminator loss: 0.495579, acc: 0.687500] [adversarial loss: 1.178512, acc: 0.281250] 37819: [discriminator loss: 0.466445, acc: 0.765625] [adversarial loss: 1.324837, acc: 0.187500] 37820: [discriminator loss: 0.476782, acc: 0.796875] [adversarial loss: 1.412382, acc: 0.234375] 37821: [discriminator loss: 0.444336, acc: 0.773438] [adversarial loss: 1.165038, acc: 0.328125] 37822: [discriminator loss: 0.467360, acc: 0.789062] [adversarial loss: 1.673092, acc: 0.187500] 37823: [discriminator loss: 0.499432, acc: 0.734375] [adversarial loss: 1.435475, acc: 0.156250] 37824: [discriminator loss: 0.512434, acc: 0.742188] [adversarial loss: 1.512077, acc: 0.171875] 37825: [discriminator loss: 0.480852, acc: 0.757812] [adversarial loss: 1.276185, acc: 0.265625] 37826: [discriminator loss: 0.512820, acc: 0.750000] [adversarial loss: 1.584318, acc: 0.218750] 37827: [discriminator loss: 0.525490, acc: 0.726562] [adversarial loss: 0.928733, acc: 0.406250] 37828: [discriminator loss: 0.480994, acc: 0.757812] [adversarial loss: 1.653256, acc: 0.109375] 37829: [discriminator loss: 0.475727, acc: 0.773438] [adversarial loss: 0.963053, acc: 0.437500] 37830: [discriminator loss: 0.503814, acc: 0.773438] [adversarial loss: 1.856558, acc: 0.093750] 37831: [discriminator loss: 0.553953, acc: 0.734375] [adversarial loss: 0.954820, acc: 0.375000] 37832: [discriminator loss: 0.520394, acc: 0.734375] [adversarial loss: 1.616558, acc: 0.187500] 37833: [discriminator loss: 0.494023, acc: 0.703125] [adversarial loss: 0.956575, acc: 0.421875] 37834: [discriminator loss: 0.565263, acc: 0.703125] [adversarial loss: 1.792107, acc: 0.093750] 37835: [discriminator loss: 0.606938, acc: 0.710938] [adversarial loss: 1.005646, acc: 0.312500] 37836: [discriminator loss: 0.542435, acc: 0.734375] [adversarial loss: 1.441789, acc: 0.125000] 37837: [discriminator loss: 0.414374, acc: 0.789062] [adversarial loss: 1.759221, acc: 0.078125] 37838: [discriminator loss: 0.493609, acc: 0.757812] [adversarial loss: 1.520930, acc: 0.156250] 37839: [discriminator loss: 0.572188, acc: 0.710938] [adversarial loss: 0.872925, acc: 0.453125] 37840: [discriminator loss: 0.516936, acc: 0.718750] [adversarial loss: 1.950329, acc: 0.046875] 37841: [discriminator loss: 0.681559, acc: 0.656250] [adversarial loss: 0.859011, acc: 0.484375] 37842: [discriminator loss: 0.609502, acc: 0.648438] [adversarial loss: 1.923971, acc: 0.046875] 37843: [discriminator loss: 0.523288, acc: 0.750000] [adversarial loss: 1.453321, acc: 0.203125] 37844: [discriminator loss: 0.496808, acc: 0.750000] [adversarial loss: 1.224292, acc: 0.250000] 37845: [discriminator loss: 0.446287, acc: 0.781250] [adversarial loss: 1.622531, acc: 0.125000] 37846: [discriminator loss: 0.482965, acc: 0.757812] [adversarial loss: 0.993469, acc: 0.406250] 37847: [discriminator loss: 0.472189, acc: 0.710938] [adversarial loss: 1.806458, acc: 0.078125] 37848: [discriminator loss: 0.514289, acc: 0.695312] [adversarial loss: 0.976700, acc: 0.453125] 37849: [discriminator loss: 0.528008, acc: 0.726562] [adversarial loss: 1.606516, acc: 0.093750] 37850: [discriminator loss: 0.507704, acc: 0.742188] [adversarial loss: 1.248655, acc: 0.265625] 37851: [discriminator loss: 0.507069, acc: 0.742188] [adversarial loss: 1.511436, acc: 0.171875] 37852: [discriminator loss: 0.520085, acc: 0.695312] [adversarial loss: 1.240152, acc: 0.265625] 37853: [discriminator loss: 0.537754, acc: 0.687500] [adversarial loss: 1.424193, acc: 0.250000] 37854: [discriminator loss: 0.489410, acc: 0.750000] [adversarial loss: 1.514120, acc: 0.171875] 37855: [discriminator loss: 0.548456, acc: 0.742188] [adversarial loss: 0.982386, acc: 0.453125] 37856: [discriminator loss: 0.522713, acc: 0.726562] [adversarial loss: 1.598336, acc: 0.171875] 37857: [discriminator loss: 0.566096, acc: 0.703125] [adversarial loss: 1.146196, acc: 0.328125] 37858: [discriminator loss: 0.511755, acc: 0.757812] [adversarial loss: 1.117450, acc: 0.328125] 37859: [discriminator loss: 0.447991, acc: 0.773438] [adversarial loss: 1.664489, acc: 0.156250] 37860: [discriminator loss: 0.480204, acc: 0.789062] [adversarial loss: 1.118896, acc: 0.375000] 37861: [discriminator loss: 0.463429, acc: 0.773438] [adversarial loss: 1.616737, acc: 0.218750] 37862: [discriminator loss: 0.538470, acc: 0.734375] [adversarial loss: 1.076951, acc: 0.421875] 37863: [discriminator loss: 0.495742, acc: 0.765625] [adversarial loss: 1.703989, acc: 0.078125] 37864: [discriminator loss: 0.579690, acc: 0.671875] [adversarial loss: 1.105366, acc: 0.296875] 37865: [discriminator loss: 0.507030, acc: 0.765625] [adversarial loss: 1.532677, acc: 0.156250] 37866: [discriminator loss: 0.485176, acc: 0.789062] [adversarial loss: 0.998941, acc: 0.406250] 37867: [discriminator loss: 0.594784, acc: 0.687500] [adversarial loss: 1.682741, acc: 0.140625] 37868: [discriminator loss: 0.611146, acc: 0.656250] [adversarial loss: 0.955901, acc: 0.437500] 37869: [discriminator loss: 0.503495, acc: 0.765625] [adversarial loss: 1.474726, acc: 0.218750] 37870: [discriminator loss: 0.558421, acc: 0.687500] [adversarial loss: 1.075097, acc: 0.328125] 37871: [discriminator loss: 0.524569, acc: 0.757812] [adversarial loss: 1.409390, acc: 0.234375] 37872: [discriminator loss: 0.592351, acc: 0.695312] [adversarial loss: 1.124732, acc: 0.390625] 37873: [discriminator loss: 0.491445, acc: 0.781250] [adversarial loss: 1.408713, acc: 0.187500] 37874: [discriminator loss: 0.551112, acc: 0.726562] [adversarial loss: 1.359828, acc: 0.234375] 37875: [discriminator loss: 0.524917, acc: 0.726562] [adversarial loss: 1.728064, acc: 0.093750] 37876: [discriminator loss: 0.531150, acc: 0.710938] [adversarial loss: 1.204342, acc: 0.312500] 37877: [discriminator loss: 0.460990, acc: 0.757812] [adversarial loss: 1.541404, acc: 0.171875] 37878: [discriminator loss: 0.525471, acc: 0.710938] [adversarial loss: 1.241616, acc: 0.281250] 37879: [discriminator loss: 0.469701, acc: 0.773438] [adversarial loss: 1.581324, acc: 0.156250] 37880: [discriminator loss: 0.480137, acc: 0.750000] [adversarial loss: 1.045302, acc: 0.343750] 37881: [discriminator loss: 0.445758, acc: 0.773438] [adversarial loss: 1.508598, acc: 0.140625] 37882: [discriminator loss: 0.542277, acc: 0.726562] [adversarial loss: 1.419969, acc: 0.218750] 37883: [discriminator loss: 0.555507, acc: 0.765625] [adversarial loss: 1.038880, acc: 0.281250] 37884: [discriminator loss: 0.526943, acc: 0.757812] [adversarial loss: 1.904313, acc: 0.031250] 37885: [discriminator loss: 0.463414, acc: 0.757812] [adversarial loss: 1.222110, acc: 0.234375] 37886: [discriminator loss: 0.472741, acc: 0.773438] [adversarial loss: 1.627380, acc: 0.109375] 37887: [discriminator loss: 0.596471, acc: 0.695312] [adversarial loss: 1.319101, acc: 0.203125] 37888: [discriminator loss: 0.490352, acc: 0.796875] [adversarial loss: 1.565081, acc: 0.140625] 37889: [discriminator loss: 0.473699, acc: 0.781250] [adversarial loss: 1.288074, acc: 0.218750] 37890: [discriminator loss: 0.502135, acc: 0.765625] [adversarial loss: 1.051779, acc: 0.359375] 37891: [discriminator loss: 0.442902, acc: 0.789062] [adversarial loss: 1.347995, acc: 0.203125] 37892: [discriminator loss: 0.472373, acc: 0.773438] [adversarial loss: 1.177081, acc: 0.328125] 37893: [discriminator loss: 0.518251, acc: 0.710938] [adversarial loss: 1.598181, acc: 0.187500] 37894: [discriminator loss: 0.522254, acc: 0.718750] [adversarial loss: 1.004995, acc: 0.328125] 37895: [discriminator loss: 0.534846, acc: 0.703125] [adversarial loss: 1.410120, acc: 0.203125] 37896: [discriminator loss: 0.499454, acc: 0.726562] [adversarial loss: 1.209042, acc: 0.265625] 37897: [discriminator loss: 0.482784, acc: 0.773438] [adversarial loss: 1.851366, acc: 0.093750] 37898: [discriminator loss: 0.525966, acc: 0.796875] [adversarial loss: 0.797081, acc: 0.531250] 37899: [discriminator loss: 0.568507, acc: 0.710938] [adversarial loss: 1.706312, acc: 0.093750] 37900: [discriminator loss: 0.494209, acc: 0.726562] [adversarial loss: 1.338524, acc: 0.265625] 37901: [discriminator loss: 0.495375, acc: 0.773438] [adversarial loss: 1.471292, acc: 0.156250] 37902: [discriminator loss: 0.551904, acc: 0.703125] [adversarial loss: 1.215869, acc: 0.359375] 37903: [discriminator loss: 0.450125, acc: 0.804688] [adversarial loss: 1.654443, acc: 0.140625] 37904: [discriminator loss: 0.539865, acc: 0.742188] [adversarial loss: 1.050456, acc: 0.406250] 37905: [discriminator loss: 0.552288, acc: 0.710938] [adversarial loss: 1.668674, acc: 0.109375] 37906: [discriminator loss: 0.506563, acc: 0.734375] [adversarial loss: 1.508496, acc: 0.203125] 37907: [discriminator loss: 0.474701, acc: 0.781250] [adversarial loss: 1.113512, acc: 0.437500] 37908: [discriminator loss: 0.495126, acc: 0.789062] [adversarial loss: 1.655291, acc: 0.140625] 37909: [discriminator loss: 0.501665, acc: 0.765625] [adversarial loss: 0.967710, acc: 0.390625] 37910: [discriminator loss: 0.513335, acc: 0.726562] [adversarial loss: 2.063354, acc: 0.031250] 37911: [discriminator loss: 0.584341, acc: 0.710938] [adversarial loss: 0.805491, acc: 0.515625] 37912: [discriminator loss: 0.571333, acc: 0.695312] [adversarial loss: 1.552480, acc: 0.140625] 37913: [discriminator loss: 0.481070, acc: 0.789062] [adversarial loss: 0.940246, acc: 0.390625] 37914: [discriminator loss: 0.451474, acc: 0.773438] [adversarial loss: 1.293391, acc: 0.250000] 37915: [discriminator loss: 0.446395, acc: 0.796875] [adversarial loss: 0.841584, acc: 0.437500] 37916: [discriminator loss: 0.574865, acc: 0.656250] [adversarial loss: 1.590917, acc: 0.171875] 37917: [discriminator loss: 0.542079, acc: 0.671875] [adversarial loss: 1.050882, acc: 0.359375] 37918: [discriminator loss: 0.468640, acc: 0.804688] [adversarial loss: 1.321241, acc: 0.218750] 37919: [discriminator loss: 0.471197, acc: 0.796875] [adversarial loss: 0.839526, acc: 0.515625] 37920: [discriminator loss: 0.446206, acc: 0.796875] [adversarial loss: 1.360420, acc: 0.265625] 37921: [discriminator loss: 0.455655, acc: 0.789062] [adversarial loss: 1.218435, acc: 0.218750] 37922: [discriminator loss: 0.524251, acc: 0.750000] [adversarial loss: 1.284823, acc: 0.250000] 37923: [discriminator loss: 0.514244, acc: 0.757812] [adversarial loss: 1.565042, acc: 0.156250] 37924: [discriminator loss: 0.501826, acc: 0.773438] [adversarial loss: 1.118681, acc: 0.359375] 37925: [discriminator loss: 0.610940, acc: 0.710938] [adversarial loss: 1.937705, acc: 0.078125] 37926: [discriminator loss: 0.564796, acc: 0.718750] [adversarial loss: 0.735792, acc: 0.609375] 37927: [discriminator loss: 0.646446, acc: 0.671875] [adversarial loss: 1.749857, acc: 0.078125] 37928: [discriminator loss: 0.493432, acc: 0.726562] [adversarial loss: 1.008789, acc: 0.437500] 37929: [discriminator loss: 0.608467, acc: 0.679688] [adversarial loss: 1.538765, acc: 0.140625] 37930: [discriminator loss: 0.480847, acc: 0.765625] [adversarial loss: 1.268277, acc: 0.281250] 37931: [discriminator loss: 0.476809, acc: 0.765625] [adversarial loss: 1.694068, acc: 0.078125] 37932: [discriminator loss: 0.436298, acc: 0.773438] [adversarial loss: 1.248230, acc: 0.265625] 37933: [discriminator loss: 0.495207, acc: 0.734375] [adversarial loss: 1.621212, acc: 0.046875] 37934: [discriminator loss: 0.580892, acc: 0.710938] [adversarial loss: 1.005677, acc: 0.359375] 37935: [discriminator loss: 0.510773, acc: 0.757812] [adversarial loss: 1.504976, acc: 0.140625] 37936: [discriminator loss: 0.484423, acc: 0.734375] [adversarial loss: 1.304495, acc: 0.234375] 37937: [discriminator loss: 0.492053, acc: 0.796875] [adversarial loss: 1.032503, acc: 0.406250] 37938: [discriminator loss: 0.515670, acc: 0.750000] [adversarial loss: 1.463655, acc: 0.171875] 37939: [discriminator loss: 0.451545, acc: 0.765625] [adversarial loss: 1.261395, acc: 0.218750] 37940: [discriminator loss: 0.510629, acc: 0.757812] [adversarial loss: 1.595281, acc: 0.125000] 37941: [discriminator loss: 0.468741, acc: 0.781250] [adversarial loss: 1.160640, acc: 0.328125] 37942: [discriminator loss: 0.523189, acc: 0.773438] [adversarial loss: 1.729196, acc: 0.062500] 37943: [discriminator loss: 0.509062, acc: 0.773438] [adversarial loss: 1.061973, acc: 0.312500] 37944: [discriminator loss: 0.541735, acc: 0.710938] [adversarial loss: 1.492848, acc: 0.250000] 37945: [discriminator loss: 0.492920, acc: 0.750000] [adversarial loss: 1.184387, acc: 0.281250] 37946: [discriminator loss: 0.464424, acc: 0.781250] [adversarial loss: 1.096699, acc: 0.359375] 37947: [discriminator loss: 0.470156, acc: 0.757812] [adversarial loss: 1.084077, acc: 0.375000] 37948: [discriminator loss: 0.520759, acc: 0.750000] [adversarial loss: 1.546558, acc: 0.140625] 37949: [discriminator loss: 0.460933, acc: 0.804688] [adversarial loss: 0.973422, acc: 0.390625] 37950: [discriminator loss: 0.555587, acc: 0.695312] [adversarial loss: 1.501783, acc: 0.171875] 37951: [discriminator loss: 0.521641, acc: 0.773438] [adversarial loss: 0.770098, acc: 0.515625] 37952: [discriminator loss: 0.504929, acc: 0.710938] [adversarial loss: 1.670962, acc: 0.140625] 37953: [discriminator loss: 0.510272, acc: 0.726562] [adversarial loss: 1.040482, acc: 0.390625] 37954: [discriminator loss: 0.487444, acc: 0.789062] [adversarial loss: 1.300835, acc: 0.312500] 37955: [discriminator loss: 0.578530, acc: 0.687500] [adversarial loss: 1.171135, acc: 0.312500] 37956: [discriminator loss: 0.597621, acc: 0.648438] [adversarial loss: 1.355136, acc: 0.218750] 37957: [discriminator loss: 0.507590, acc: 0.695312] [adversarial loss: 1.262113, acc: 0.265625] 37958: [discriminator loss: 0.494546, acc: 0.750000] [adversarial loss: 0.973179, acc: 0.343750] 37959: [discriminator loss: 0.520718, acc: 0.648438] [adversarial loss: 1.588642, acc: 0.187500] 37960: [discriminator loss: 0.488845, acc: 0.726562] [adversarial loss: 1.056301, acc: 0.359375] 37961: [discriminator loss: 0.489387, acc: 0.765625] [adversarial loss: 1.623463, acc: 0.109375] 37962: [discriminator loss: 0.589720, acc: 0.687500] [adversarial loss: 1.076643, acc: 0.359375] 37963: [discriminator loss: 0.529535, acc: 0.742188] [adversarial loss: 1.661048, acc: 0.062500] 37964: [discriminator loss: 0.498287, acc: 0.781250] [adversarial loss: 0.920254, acc: 0.515625] 37965: [discriminator loss: 0.510735, acc: 0.750000] [adversarial loss: 1.534455, acc: 0.265625] 37966: [discriminator loss: 0.544432, acc: 0.718750] [adversarial loss: 1.192597, acc: 0.296875] 37967: [discriminator loss: 0.539533, acc: 0.726562] [adversarial loss: 1.510400, acc: 0.156250] 37968: [discriminator loss: 0.487902, acc: 0.726562] [adversarial loss: 1.235365, acc: 0.250000] 37969: [discriminator loss: 0.466434, acc: 0.796875] [adversarial loss: 1.249007, acc: 0.281250] 37970: [discriminator loss: 0.539034, acc: 0.750000] [adversarial loss: 1.487459, acc: 0.171875] 37971: [discriminator loss: 0.596809, acc: 0.679688] [adversarial loss: 1.233380, acc: 0.234375] 37972: [discriminator loss: 0.490128, acc: 0.726562] [adversarial loss: 1.313787, acc: 0.250000] 37973: [discriminator loss: 0.512937, acc: 0.742188] [adversarial loss: 0.982767, acc: 0.390625] 37974: [discriminator loss: 0.526021, acc: 0.742188] [adversarial loss: 1.223526, acc: 0.203125] 37975: [discriminator loss: 0.452606, acc: 0.812500] [adversarial loss: 1.273751, acc: 0.250000] 37976: [discriminator loss: 0.504594, acc: 0.734375] [adversarial loss: 1.153885, acc: 0.390625] 37977: [discriminator loss: 0.460243, acc: 0.796875] [adversarial loss: 1.370160, acc: 0.187500] 37978: [discriminator loss: 0.511135, acc: 0.765625] [adversarial loss: 1.376191, acc: 0.234375] 37979: [discriminator loss: 0.453633, acc: 0.804688] [adversarial loss: 1.222436, acc: 0.218750] 37980: [discriminator loss: 0.580208, acc: 0.679688] [adversarial loss: 1.605742, acc: 0.125000] 37981: [discriminator loss: 0.524914, acc: 0.742188] [adversarial loss: 0.935858, acc: 0.437500] 37982: [discriminator loss: 0.563089, acc: 0.757812] [adversarial loss: 1.851839, acc: 0.078125] 37983: [discriminator loss: 0.547459, acc: 0.718750] [adversarial loss: 1.039172, acc: 0.406250] 37984: [discriminator loss: 0.470191, acc: 0.765625] [adversarial loss: 1.577661, acc: 0.062500] 37985: [discriminator loss: 0.463732, acc: 0.789062] [adversarial loss: 1.343640, acc: 0.312500] 37986: [discriminator loss: 0.527346, acc: 0.710938] [adversarial loss: 1.309894, acc: 0.281250] 37987: [discriminator loss: 0.524316, acc: 0.757812] [adversarial loss: 1.260497, acc: 0.281250] 37988: [discriminator loss: 0.513089, acc: 0.750000] [adversarial loss: 1.236265, acc: 0.328125] 37989: [discriminator loss: 0.523919, acc: 0.734375] [adversarial loss: 1.215991, acc: 0.171875] 37990: [discriminator loss: 0.421313, acc: 0.789062] [adversarial loss: 1.181589, acc: 0.312500] 37991: [discriminator loss: 0.546475, acc: 0.734375] [adversarial loss: 1.281398, acc: 0.328125] 37992: [discriminator loss: 0.469842, acc: 0.796875] [adversarial loss: 1.497319, acc: 0.250000] 37993: [discriminator loss: 0.523593, acc: 0.781250] [adversarial loss: 1.177680, acc: 0.296875] 37994: [discriminator loss: 0.480603, acc: 0.750000] [adversarial loss: 1.241763, acc: 0.359375] 37995: [discriminator loss: 0.543678, acc: 0.640625] [adversarial loss: 1.163409, acc: 0.343750] 37996: [discriminator loss: 0.447411, acc: 0.773438] [adversarial loss: 1.420601, acc: 0.265625] 37997: [discriminator loss: 0.520506, acc: 0.750000] [adversarial loss: 1.736823, acc: 0.171875] 37998: [discriminator loss: 0.540644, acc: 0.695312] [adversarial loss: 1.120833, acc: 0.343750] 37999: [discriminator loss: 0.444069, acc: 0.796875] [adversarial loss: 1.502327, acc: 0.234375] 38000: [discriminator loss: 0.460801, acc: 0.742188] [adversarial loss: 1.110901, acc: 0.437500] 38001: [discriminator loss: 0.465758, acc: 0.773438] [adversarial loss: 1.691289, acc: 0.140625] 38002: [discriminator loss: 0.585278, acc: 0.695312] [adversarial loss: 0.970829, acc: 0.500000] 38003: [discriminator loss: 0.533373, acc: 0.757812] [adversarial loss: 1.885906, acc: 0.062500] 38004: [discriminator loss: 0.550924, acc: 0.750000] [adversarial loss: 1.049582, acc: 0.453125] 38005: [discriminator loss: 0.438135, acc: 0.820312] [adversarial loss: 1.329359, acc: 0.265625] 38006: [discriminator loss: 0.494249, acc: 0.781250] [adversarial loss: 1.251682, acc: 0.171875] 38007: [discriminator loss: 0.513032, acc: 0.789062] [adversarial loss: 1.381322, acc: 0.265625] 38008: [discriminator loss: 0.541716, acc: 0.718750] [adversarial loss: 1.013890, acc: 0.437500] 38009: [discriminator loss: 0.530988, acc: 0.734375] [adversarial loss: 1.444300, acc: 0.187500] 38010: [discriminator loss: 0.520973, acc: 0.734375] [adversarial loss: 0.955881, acc: 0.406250] 38011: [discriminator loss: 0.572564, acc: 0.710938] [adversarial loss: 1.614571, acc: 0.109375] 38012: [discriminator loss: 0.538477, acc: 0.726562] [adversarial loss: 1.237977, acc: 0.296875] 38013: [discriminator loss: 0.562230, acc: 0.710938] [adversarial loss: 1.254078, acc: 0.265625] 38014: [discriminator loss: 0.453195, acc: 0.796875] [adversarial loss: 1.200715, acc: 0.296875] 38015: [discriminator loss: 0.541933, acc: 0.781250] [adversarial loss: 1.379281, acc: 0.171875] 38016: [discriminator loss: 0.498240, acc: 0.773438] [adversarial loss: 0.993151, acc: 0.406250] 38017: [discriminator loss: 0.548236, acc: 0.679688] [adversarial loss: 1.525000, acc: 0.109375] 38018: [discriminator loss: 0.507846, acc: 0.757812] [adversarial loss: 0.626437, acc: 0.671875] 38019: [discriminator loss: 0.564010, acc: 0.703125] [adversarial loss: 1.878715, acc: 0.125000] 38020: [discriminator loss: 0.518096, acc: 0.757812] [adversarial loss: 0.871753, acc: 0.484375] 38021: [discriminator loss: 0.485032, acc: 0.765625] [adversarial loss: 1.603399, acc: 0.140625] 38022: [discriminator loss: 0.489624, acc: 0.765625] [adversarial loss: 0.930885, acc: 0.375000] 38023: [discriminator loss: 0.518913, acc: 0.710938] [adversarial loss: 1.438236, acc: 0.234375] 38024: [discriminator loss: 0.497739, acc: 0.695312] [adversarial loss: 1.202094, acc: 0.296875] 38025: [discriminator loss: 0.480860, acc: 0.742188] [adversarial loss: 1.308137, acc: 0.218750] 38026: [discriminator loss: 0.472948, acc: 0.773438] [adversarial loss: 0.985331, acc: 0.390625] 38027: [discriminator loss: 0.438331, acc: 0.796875] [adversarial loss: 1.322224, acc: 0.250000] 38028: [discriminator loss: 0.459696, acc: 0.796875] [adversarial loss: 1.540542, acc: 0.156250] 38029: [discriminator loss: 0.387233, acc: 0.828125] [adversarial loss: 1.146637, acc: 0.390625] 38030: [discriminator loss: 0.529003, acc: 0.726562] [adversarial loss: 1.620073, acc: 0.093750] 38031: [discriminator loss: 0.548461, acc: 0.710938] [adversarial loss: 1.038779, acc: 0.390625] 38032: [discriminator loss: 0.469089, acc: 0.773438] [adversarial loss: 1.195461, acc: 0.234375] 38033: [discriminator loss: 0.447931, acc: 0.773438] [adversarial loss: 1.361437, acc: 0.312500] 38034: [discriminator loss: 0.448269, acc: 0.773438] [adversarial loss: 1.335408, acc: 0.265625] 38035: [discriminator loss: 0.532021, acc: 0.718750] [adversarial loss: 1.260175, acc: 0.296875] 38036: [discriminator loss: 0.459139, acc: 0.781250] [adversarial loss: 1.381759, acc: 0.140625] 38037: [discriminator loss: 0.458568, acc: 0.835938] [adversarial loss: 1.047078, acc: 0.406250] 38038: [discriminator loss: 0.514325, acc: 0.773438] [adversarial loss: 1.573239, acc: 0.156250] 38039: [discriminator loss: 0.537326, acc: 0.781250] [adversarial loss: 0.704734, acc: 0.578125] 38040: [discriminator loss: 0.535794, acc: 0.710938] [adversarial loss: 1.703117, acc: 0.140625] 38041: [discriminator loss: 0.544683, acc: 0.687500] [adversarial loss: 0.858695, acc: 0.500000] 38042: [discriminator loss: 0.534565, acc: 0.734375] [adversarial loss: 1.609043, acc: 0.156250] 38043: [discriminator loss: 0.492103, acc: 0.757812] [adversarial loss: 1.057230, acc: 0.406250] 38044: [discriminator loss: 0.519516, acc: 0.710938] [adversarial loss: 1.647375, acc: 0.109375] 38045: [discriminator loss: 0.428732, acc: 0.765625] [adversarial loss: 1.201575, acc: 0.265625] 38046: [discriminator loss: 0.504369, acc: 0.773438] [adversarial loss: 1.556550, acc: 0.125000] 38047: [discriminator loss: 0.521069, acc: 0.710938] [adversarial loss: 1.102765, acc: 0.296875] 38048: [discriminator loss: 0.509828, acc: 0.710938] [adversarial loss: 1.671206, acc: 0.203125] 38049: [discriminator loss: 0.477041, acc: 0.773438] [adversarial loss: 1.270781, acc: 0.156250] 38050: [discriminator loss: 0.479869, acc: 0.742188] [adversarial loss: 1.399824, acc: 0.218750] 38051: [discriminator loss: 0.489292, acc: 0.726562] [adversarial loss: 1.522967, acc: 0.187500] 38052: [discriminator loss: 0.501622, acc: 0.710938] [adversarial loss: 1.263453, acc: 0.203125] 38053: [discriminator loss: 0.577310, acc: 0.695312] [adversarial loss: 1.416502, acc: 0.250000] 38054: [discriminator loss: 0.555674, acc: 0.703125] [adversarial loss: 1.127136, acc: 0.406250] 38055: [discriminator loss: 0.500911, acc: 0.765625] [adversarial loss: 1.563066, acc: 0.156250] 38056: [discriminator loss: 0.461437, acc: 0.789062] [adversarial loss: 1.356769, acc: 0.234375] 38057: [discriminator loss: 0.578192, acc: 0.742188] [adversarial loss: 1.577706, acc: 0.171875] 38058: [discriminator loss: 0.485044, acc: 0.773438] [adversarial loss: 0.807790, acc: 0.531250] 38059: [discriminator loss: 0.531020, acc: 0.773438] [adversarial loss: 1.793951, acc: 0.093750] 38060: [discriminator loss: 0.536861, acc: 0.679688] [adversarial loss: 1.065240, acc: 0.343750] 38061: [discriminator loss: 0.477147, acc: 0.757812] [adversarial loss: 1.505280, acc: 0.234375] 38062: [discriminator loss: 0.550284, acc: 0.734375] [adversarial loss: 1.457301, acc: 0.203125] 38063: [discriminator loss: 0.494032, acc: 0.718750] [adversarial loss: 1.266546, acc: 0.296875] 38064: [discriminator loss: 0.449393, acc: 0.781250] [adversarial loss: 1.406981, acc: 0.203125] 38065: [discriminator loss: 0.566685, acc: 0.726562] [adversarial loss: 1.365315, acc: 0.265625] 38066: [discriminator loss: 0.501199, acc: 0.734375] [adversarial loss: 1.337465, acc: 0.250000] 38067: [discriminator loss: 0.526405, acc: 0.742188] [adversarial loss: 1.341997, acc: 0.312500] 38068: [discriminator loss: 0.437778, acc: 0.765625] [adversarial loss: 1.068912, acc: 0.375000] 38069: [discriminator loss: 0.553295, acc: 0.656250] [adversarial loss: 1.990504, acc: 0.062500] 38070: [discriminator loss: 0.565269, acc: 0.750000] [adversarial loss: 0.859254, acc: 0.437500] 38071: [discriminator loss: 0.542269, acc: 0.695312] [adversarial loss: 1.630253, acc: 0.218750] 38072: [discriminator loss: 0.647673, acc: 0.585938] [adversarial loss: 1.138377, acc: 0.328125] 38073: [discriminator loss: 0.498943, acc: 0.718750] [adversarial loss: 1.608494, acc: 0.140625] 38074: [discriminator loss: 0.543043, acc: 0.710938] [adversarial loss: 1.179512, acc: 0.296875] 38075: [discriminator loss: 0.528573, acc: 0.734375] [adversarial loss: 1.541442, acc: 0.171875] 38076: [discriminator loss: 0.546760, acc: 0.726562] [adversarial loss: 1.084683, acc: 0.390625] 38077: [discriminator loss: 0.475764, acc: 0.781250] [adversarial loss: 1.586827, acc: 0.187500] 38078: [discriminator loss: 0.522023, acc: 0.718750] [adversarial loss: 0.847068, acc: 0.453125] 38079: [discriminator loss: 0.463753, acc: 0.789062] [adversarial loss: 2.033530, acc: 0.109375] 38080: [discriminator loss: 0.580306, acc: 0.679688] [adversarial loss: 0.880915, acc: 0.531250] 38081: [discriminator loss: 0.494634, acc: 0.781250] [adversarial loss: 1.726456, acc: 0.125000] 38082: [discriminator loss: 0.542274, acc: 0.703125] [adversarial loss: 0.970187, acc: 0.406250] 38083: [discriminator loss: 0.467708, acc: 0.789062] [adversarial loss: 1.615465, acc: 0.171875] 38084: [discriminator loss: 0.510016, acc: 0.734375] [adversarial loss: 0.937194, acc: 0.421875] 38085: [discriminator loss: 0.445823, acc: 0.750000] [adversarial loss: 1.582887, acc: 0.140625] 38086: [discriminator loss: 0.519634, acc: 0.726562] [adversarial loss: 0.897503, acc: 0.468750] 38087: [discriminator loss: 0.571949, acc: 0.710938] [adversarial loss: 1.863487, acc: 0.125000] 38088: [discriminator loss: 0.591155, acc: 0.703125] [adversarial loss: 0.899943, acc: 0.468750] 38089: [discriminator loss: 0.480685, acc: 0.742188] [adversarial loss: 1.727695, acc: 0.062500] 38090: [discriminator loss: 0.469827, acc: 0.796875] [adversarial loss: 1.284263, acc: 0.312500] 38091: [discriminator loss: 0.567183, acc: 0.710938] [adversarial loss: 1.231811, acc: 0.234375] 38092: [discriminator loss: 0.538602, acc: 0.687500] [adversarial loss: 1.243015, acc: 0.281250] 38093: [discriminator loss: 0.474188, acc: 0.796875] [adversarial loss: 1.655843, acc: 0.187500] 38094: [discriminator loss: 0.519425, acc: 0.703125] [adversarial loss: 1.238243, acc: 0.203125] 38095: [discriminator loss: 0.470735, acc: 0.750000] [adversarial loss: 1.436111, acc: 0.234375] 38096: [discriminator loss: 0.518611, acc: 0.734375] [adversarial loss: 1.337388, acc: 0.250000] 38097: [discriminator loss: 0.474963, acc: 0.773438] [adversarial loss: 1.538532, acc: 0.187500] 38098: [discriminator loss: 0.462509, acc: 0.773438] [adversarial loss: 1.306569, acc: 0.203125] 38099: [discriminator loss: 0.415312, acc: 0.789062] [adversarial loss: 1.316052, acc: 0.203125] 38100: [discriminator loss: 0.461260, acc: 0.796875] [adversarial loss: 1.177289, acc: 0.296875] 38101: [discriminator loss: 0.415336, acc: 0.820312] [adversarial loss: 1.206308, acc: 0.375000] 38102: [discriminator loss: 0.455853, acc: 0.765625] [adversarial loss: 1.586231, acc: 0.140625] 38103: [discriminator loss: 0.492088, acc: 0.781250] [adversarial loss: 1.101173, acc: 0.375000] 38104: [discriminator loss: 0.429588, acc: 0.812500] [adversarial loss: 1.908298, acc: 0.125000] 38105: [discriminator loss: 0.576925, acc: 0.703125] [adversarial loss: 0.985621, acc: 0.437500] 38106: [discriminator loss: 0.509955, acc: 0.757812] [adversarial loss: 1.900592, acc: 0.093750] 38107: [discriminator loss: 0.500528, acc: 0.781250] [adversarial loss: 1.121192, acc: 0.375000] 38108: [discriminator loss: 0.569799, acc: 0.726562] [adversarial loss: 1.388351, acc: 0.234375] 38109: [discriminator loss: 0.545685, acc: 0.710938] [adversarial loss: 1.533528, acc: 0.218750] 38110: [discriminator loss: 0.474388, acc: 0.796875] [adversarial loss: 1.238936, acc: 0.281250] 38111: [discriminator loss: 0.460118, acc: 0.765625] [adversarial loss: 1.343678, acc: 0.171875] 38112: [discriminator loss: 0.439869, acc: 0.796875] [adversarial loss: 1.583607, acc: 0.171875] 38113: [discriminator loss: 0.492280, acc: 0.757812] [adversarial loss: 1.082435, acc: 0.406250] 38114: [discriminator loss: 0.472096, acc: 0.734375] [adversarial loss: 1.431119, acc: 0.187500] 38115: [discriminator loss: 0.481044, acc: 0.773438] [adversarial loss: 0.893741, acc: 0.468750] 38116: [discriminator loss: 0.511694, acc: 0.765625] [adversarial loss: 1.830325, acc: 0.093750] 38117: [discriminator loss: 0.499540, acc: 0.742188] [adversarial loss: 0.741446, acc: 0.625000] 38118: [discriminator loss: 0.527228, acc: 0.695312] [adversarial loss: 1.522397, acc: 0.218750] 38119: [discriminator loss: 0.510955, acc: 0.710938] [adversarial loss: 1.303419, acc: 0.234375] 38120: [discriminator loss: 0.530146, acc: 0.703125] [adversarial loss: 1.565644, acc: 0.250000] 38121: [discriminator loss: 0.570304, acc: 0.695312] [adversarial loss: 1.361548, acc: 0.203125] 38122: [discriminator loss: 0.499978, acc: 0.750000] [adversarial loss: 0.888874, acc: 0.390625] 38123: [discriminator loss: 0.500069, acc: 0.781250] [adversarial loss: 1.370291, acc: 0.218750] 38124: [discriminator loss: 0.438887, acc: 0.804688] [adversarial loss: 1.161633, acc: 0.312500] 38125: [discriminator loss: 0.479113, acc: 0.773438] [adversarial loss: 1.403796, acc: 0.218750] 38126: [discriminator loss: 0.452666, acc: 0.796875] [adversarial loss: 0.978915, acc: 0.421875] 38127: [discriminator loss: 0.456593, acc: 0.757812] [adversarial loss: 1.646846, acc: 0.203125] 38128: [discriminator loss: 0.457642, acc: 0.765625] [adversarial loss: 1.045483, acc: 0.390625] 38129: [discriminator loss: 0.476178, acc: 0.757812] [adversarial loss: 1.593033, acc: 0.140625] 38130: [discriminator loss: 0.491069, acc: 0.781250] [adversarial loss: 1.424406, acc: 0.187500] 38131: [discriminator loss: 0.473423, acc: 0.726562] [adversarial loss: 0.918535, acc: 0.359375] 38132: [discriminator loss: 0.492531, acc: 0.750000] [adversarial loss: 1.310577, acc: 0.265625] 38133: [discriminator loss: 0.577734, acc: 0.671875] [adversarial loss: 0.687001, acc: 0.656250] 38134: [discriminator loss: 0.567732, acc: 0.703125] [adversarial loss: 1.857802, acc: 0.062500] 38135: [discriminator loss: 0.576795, acc: 0.664062] [adversarial loss: 0.890412, acc: 0.437500] 38136: [discriminator loss: 0.487315, acc: 0.742188] [adversarial loss: 1.477762, acc: 0.156250] 38137: [discriminator loss: 0.435892, acc: 0.820312] [adversarial loss: 1.072304, acc: 0.312500] 38138: [discriminator loss: 0.518584, acc: 0.742188] [adversarial loss: 1.540565, acc: 0.109375] 38139: [discriminator loss: 0.466611, acc: 0.757812] [adversarial loss: 1.043763, acc: 0.375000] 38140: [discriminator loss: 0.450893, acc: 0.781250] [adversarial loss: 0.858497, acc: 0.484375] 38141: [discriminator loss: 0.451118, acc: 0.804688] [adversarial loss: 1.351255, acc: 0.218750] 38142: [discriminator loss: 0.533552, acc: 0.718750] [adversarial loss: 1.027804, acc: 0.421875] 38143: [discriminator loss: 0.411609, acc: 0.812500] [adversarial loss: 0.921569, acc: 0.453125] 38144: [discriminator loss: 0.470392, acc: 0.796875] [adversarial loss: 1.171281, acc: 0.343750] 38145: [discriminator loss: 0.554382, acc: 0.710938] [adversarial loss: 1.161434, acc: 0.296875] 38146: [discriminator loss: 0.503507, acc: 0.718750] [adversarial loss: 1.236892, acc: 0.343750] 38147: [discriminator loss: 0.453386, acc: 0.757812] [adversarial loss: 1.379117, acc: 0.250000] 38148: [discriminator loss: 0.438017, acc: 0.789062] [adversarial loss: 0.932190, acc: 0.500000] 38149: [discriminator loss: 0.443501, acc: 0.781250] [adversarial loss: 1.232513, acc: 0.281250] 38150: [discriminator loss: 0.473383, acc: 0.765625] [adversarial loss: 1.281733, acc: 0.281250] 38151: [discriminator loss: 0.490426, acc: 0.757812] [adversarial loss: 1.360197, acc: 0.218750] 38152: [discriminator loss: 0.521002, acc: 0.703125] [adversarial loss: 1.303581, acc: 0.281250] 38153: [discriminator loss: 0.483739, acc: 0.781250] [adversarial loss: 1.390214, acc: 0.281250] 38154: [discriminator loss: 0.537861, acc: 0.757812] [adversarial loss: 1.294656, acc: 0.218750] 38155: [discriminator loss: 0.432763, acc: 0.765625] [adversarial loss: 1.355519, acc: 0.234375] 38156: [discriminator loss: 0.543212, acc: 0.726562] [adversarial loss: 1.242407, acc: 0.359375] 38157: [discriminator loss: 0.455297, acc: 0.828125] [adversarial loss: 1.514885, acc: 0.140625] 38158: [discriminator loss: 0.492079, acc: 0.703125] [adversarial loss: 1.069438, acc: 0.343750] 38159: [discriminator loss: 0.431911, acc: 0.796875] [adversarial loss: 1.584773, acc: 0.203125] 38160: [discriminator loss: 0.515163, acc: 0.757812] [adversarial loss: 0.859141, acc: 0.484375] 38161: [discriminator loss: 0.539050, acc: 0.757812] [adversarial loss: 1.800744, acc: 0.125000] 38162: [discriminator loss: 0.510539, acc: 0.703125] [adversarial loss: 1.006133, acc: 0.437500] 38163: [discriminator loss: 0.549531, acc: 0.687500] [adversarial loss: 1.435349, acc: 0.187500] 38164: [discriminator loss: 0.480447, acc: 0.781250] [adversarial loss: 0.943922, acc: 0.406250] 38165: [discriminator loss: 0.588270, acc: 0.656250] [adversarial loss: 1.415295, acc: 0.218750] 38166: [discriminator loss: 0.468088, acc: 0.757812] [adversarial loss: 1.058906, acc: 0.406250] 38167: [discriminator loss: 0.528167, acc: 0.710938] [adversarial loss: 1.380972, acc: 0.125000] 38168: [discriminator loss: 0.519639, acc: 0.734375] [adversarial loss: 0.938932, acc: 0.453125] 38169: [discriminator loss: 0.463434, acc: 0.750000] [adversarial loss: 1.362777, acc: 0.250000] 38170: [discriminator loss: 0.511289, acc: 0.765625] [adversarial loss: 1.233549, acc: 0.296875] 38171: [discriminator loss: 0.503941, acc: 0.750000] [adversarial loss: 1.483188, acc: 0.125000] 38172: [discriminator loss: 0.466454, acc: 0.718750] [adversarial loss: 1.259661, acc: 0.281250] 38173: [discriminator loss: 0.521107, acc: 0.726562] [adversarial loss: 1.108712, acc: 0.343750] 38174: [discriminator loss: 0.540793, acc: 0.734375] [adversarial loss: 1.632832, acc: 0.109375] 38175: [discriminator loss: 0.484276, acc: 0.765625] [adversarial loss: 1.049666, acc: 0.406250] 38176: [discriminator loss: 0.415805, acc: 0.796875] [adversarial loss: 1.407048, acc: 0.234375] 38177: [discriminator loss: 0.440543, acc: 0.789062] [adversarial loss: 1.196049, acc: 0.359375] 38178: [discriminator loss: 0.481145, acc: 0.757812] [adversarial loss: 1.270066, acc: 0.234375] 38179: [discriminator loss: 0.433095, acc: 0.812500] [adversarial loss: 1.465664, acc: 0.171875] 38180: [discriminator loss: 0.516247, acc: 0.773438] [adversarial loss: 1.376411, acc: 0.265625] 38181: [discriminator loss: 0.465449, acc: 0.789062] [adversarial loss: 1.628204, acc: 0.140625] 38182: [discriminator loss: 0.528049, acc: 0.750000] [adversarial loss: 1.033955, acc: 0.390625] 38183: [discriminator loss: 0.537666, acc: 0.734375] [adversarial loss: 1.835874, acc: 0.062500] 38184: [discriminator loss: 0.541811, acc: 0.742188] [adversarial loss: 0.796155, acc: 0.531250] 38185: [discriminator loss: 0.503246, acc: 0.718750] [adversarial loss: 1.590418, acc: 0.156250] 38186: [discriminator loss: 0.459748, acc: 0.789062] [adversarial loss: 1.014481, acc: 0.390625] 38187: [discriminator loss: 0.478583, acc: 0.742188] [adversarial loss: 1.334342, acc: 0.109375] 38188: [discriminator loss: 0.473479, acc: 0.789062] [adversarial loss: 0.729974, acc: 0.562500] 38189: [discriminator loss: 0.419956, acc: 0.828125] [adversarial loss: 1.027972, acc: 0.328125] 38190: [discriminator loss: 0.479918, acc: 0.750000] [adversarial loss: 1.026287, acc: 0.359375] 38191: [discriminator loss: 0.458365, acc: 0.765625] [adversarial loss: 1.075426, acc: 0.343750] 38192: [discriminator loss: 0.490052, acc: 0.757812] [adversarial loss: 1.003237, acc: 0.406250] 38193: [discriminator loss: 0.416194, acc: 0.820312] [adversarial loss: 0.970349, acc: 0.390625] 38194: [discriminator loss: 0.507324, acc: 0.765625] [adversarial loss: 0.728044, acc: 0.609375] 38195: [discriminator loss: 0.429677, acc: 0.804688] [adversarial loss: 1.146421, acc: 0.359375] 38196: [discriminator loss: 0.504960, acc: 0.734375] [adversarial loss: 0.794308, acc: 0.531250] 38197: [discriminator loss: 0.465209, acc: 0.789062] [adversarial loss: 1.234971, acc: 0.250000] 38198: [discriminator loss: 0.602868, acc: 0.648438] [adversarial loss: 0.565981, acc: 0.703125] 38199: [discriminator loss: 0.591124, acc: 0.703125] [adversarial loss: 1.764562, acc: 0.171875] 38200: [discriminator loss: 0.483846, acc: 0.734375] [adversarial loss: 0.788239, acc: 0.562500] 38201: [discriminator loss: 0.449894, acc: 0.781250] [adversarial loss: 1.510260, acc: 0.234375] 38202: [discriminator loss: 0.470996, acc: 0.781250] [adversarial loss: 1.156038, acc: 0.312500] 38203: [discriminator loss: 0.462509, acc: 0.765625] [adversarial loss: 1.289855, acc: 0.296875] 38204: [discriminator loss: 0.467222, acc: 0.773438] [adversarial loss: 1.471773, acc: 0.171875] 38205: [discriminator loss: 0.509038, acc: 0.734375] [adversarial loss: 1.151436, acc: 0.359375] 38206: [discriminator loss: 0.475644, acc: 0.789062] [adversarial loss: 1.532182, acc: 0.250000] 38207: [discriminator loss: 0.515300, acc: 0.703125] [adversarial loss: 1.242215, acc: 0.265625] 38208: [discriminator loss: 0.467187, acc: 0.757812] [adversarial loss: 1.837429, acc: 0.093750] 38209: [discriminator loss: 0.426881, acc: 0.773438] [adversarial loss: 1.268007, acc: 0.343750] 38210: [discriminator loss: 0.482276, acc: 0.804688] [adversarial loss: 2.208388, acc: 0.046875] 38211: [discriminator loss: 0.536628, acc: 0.773438] [adversarial loss: 1.340632, acc: 0.250000] 38212: [discriminator loss: 0.579351, acc: 0.718750] [adversarial loss: 2.424124, acc: 0.000000] 38213: [discriminator loss: 0.575316, acc: 0.750000] [adversarial loss: 1.421360, acc: 0.281250] 38214: [discriminator loss: 0.536293, acc: 0.750000] [adversarial loss: 2.327030, acc: 0.062500] 38215: [discriminator loss: 0.438680, acc: 0.773438] [adversarial loss: 1.179492, acc: 0.328125] 38216: [discriminator loss: 0.503024, acc: 0.734375] [adversarial loss: 1.999004, acc: 0.093750] 38217: [discriminator loss: 0.480287, acc: 0.750000] [adversarial loss: 1.350228, acc: 0.296875] 38218: [discriminator loss: 0.486229, acc: 0.750000] [adversarial loss: 1.824610, acc: 0.125000] 38219: [discriminator loss: 0.398064, acc: 0.789062] [adversarial loss: 1.663939, acc: 0.171875] 38220: [discriminator loss: 0.430284, acc: 0.789062] [adversarial loss: 1.570312, acc: 0.218750] 38221: [discriminator loss: 0.495227, acc: 0.750000] [adversarial loss: 1.227818, acc: 0.359375] 38222: [discriminator loss: 0.381931, acc: 0.851562] [adversarial loss: 1.611667, acc: 0.203125] 38223: [discriminator loss: 0.479417, acc: 0.781250] [adversarial loss: 1.875186, acc: 0.078125] 38224: [discriminator loss: 0.424837, acc: 0.796875] [adversarial loss: 1.306724, acc: 0.296875] 38225: [discriminator loss: 0.419555, acc: 0.804688] [adversarial loss: 1.043539, acc: 0.421875] 38226: [discriminator loss: 0.376198, acc: 0.820312] [adversarial loss: 1.069273, acc: 0.406250] 38227: [discriminator loss: 0.391765, acc: 0.820312] [adversarial loss: 1.509382, acc: 0.171875] 38228: [discriminator loss: 0.465198, acc: 0.773438] [adversarial loss: 0.920948, acc: 0.484375] 38229: [discriminator loss: 0.491782, acc: 0.742188] [adversarial loss: 1.551867, acc: 0.265625] 38230: [discriminator loss: 0.501023, acc: 0.765625] [adversarial loss: 0.891920, acc: 0.500000] 38231: [discriminator loss: 0.477759, acc: 0.742188] [adversarial loss: 1.567334, acc: 0.203125] 38232: [discriminator loss: 0.570797, acc: 0.726562] [adversarial loss: 0.673288, acc: 0.578125] 38233: [discriminator loss: 0.643101, acc: 0.671875] [adversarial loss: 1.893242, acc: 0.078125] 38234: [discriminator loss: 0.522235, acc: 0.726562] [adversarial loss: 1.091913, acc: 0.421875] 38235: [discriminator loss: 0.493031, acc: 0.757812] [adversarial loss: 1.153437, acc: 0.312500] 38236: [discriminator loss: 0.482548, acc: 0.796875] [adversarial loss: 1.204495, acc: 0.218750] 38237: [discriminator loss: 0.481632, acc: 0.742188] [adversarial loss: 1.281479, acc: 0.296875] 38238: [discriminator loss: 0.412518, acc: 0.812500] [adversarial loss: 1.290478, acc: 0.296875] 38239: [discriminator loss: 0.516832, acc: 0.703125] [adversarial loss: 1.697658, acc: 0.109375] 38240: [discriminator loss: 0.467714, acc: 0.765625] [adversarial loss: 0.812586, acc: 0.546875] 38241: [discriminator loss: 0.523304, acc: 0.718750] [adversarial loss: 1.690601, acc: 0.125000] 38242: [discriminator loss: 0.451881, acc: 0.773438] [adversarial loss: 0.918398, acc: 0.468750] 38243: [discriminator loss: 0.425519, acc: 0.812500] [adversarial loss: 1.323832, acc: 0.265625] 38244: [discriminator loss: 0.413060, acc: 0.781250] [adversarial loss: 0.663288, acc: 0.671875] 38245: [discriminator loss: 0.487939, acc: 0.726562] [adversarial loss: 0.911520, acc: 0.500000] 38246: [discriminator loss: 0.354871, acc: 0.828125] [adversarial loss: 0.863013, acc: 0.484375] 38247: [discriminator loss: 0.452142, acc: 0.796875] [adversarial loss: 1.233980, acc: 0.296875] 38248: [discriminator loss: 0.425830, acc: 0.796875] [adversarial loss: 0.747034, acc: 0.609375] 38249: [discriminator loss: 0.421270, acc: 0.804688] [adversarial loss: 1.172594, acc: 0.406250] 38250: [discriminator loss: 0.460099, acc: 0.765625] [adversarial loss: 0.655011, acc: 0.625000] 38251: [discriminator loss: 0.452424, acc: 0.820312] [adversarial loss: 1.244933, acc: 0.328125] 38252: [discriminator loss: 0.351537, acc: 0.843750] [adversarial loss: 0.879142, acc: 0.515625] 38253: [discriminator loss: 0.446527, acc: 0.789062] [adversarial loss: 1.365234, acc: 0.312500] 38254: [discriminator loss: 0.417255, acc: 0.773438] [adversarial loss: 1.180123, acc: 0.218750] 38255: [discriminator loss: 0.400312, acc: 0.820312] [adversarial loss: 1.390108, acc: 0.156250] 38256: [discriminator loss: 0.458849, acc: 0.773438] [adversarial loss: 0.954544, acc: 0.406250] 38257: [discriminator loss: 0.495024, acc: 0.757812] [adversarial loss: 1.547014, acc: 0.203125] 38258: [discriminator loss: 0.496868, acc: 0.742188] [adversarial loss: 1.082397, acc: 0.281250] 38259: [discriminator loss: 0.422196, acc: 0.835938] [adversarial loss: 1.512662, acc: 0.234375] 38260: [discriminator loss: 0.415593, acc: 0.835938] [adversarial loss: 1.202709, acc: 0.328125] 38261: [discriminator loss: 0.435550, acc: 0.742188] [adversarial loss: 1.421650, acc: 0.312500] 38262: [discriminator loss: 0.549539, acc: 0.726562] [adversarial loss: 0.992270, acc: 0.390625] 38263: [discriminator loss: 0.545096, acc: 0.750000] [adversarial loss: 1.573504, acc: 0.140625] 38264: [discriminator loss: 0.554267, acc: 0.695312] [adversarial loss: 1.179774, acc: 0.359375] 38265: [discriminator loss: 0.461952, acc: 0.742188] [adversarial loss: 1.453081, acc: 0.296875] 38266: [discriminator loss: 0.512812, acc: 0.750000] [adversarial loss: 1.567450, acc: 0.156250] 38267: [discriminator loss: 0.442435, acc: 0.750000] [adversarial loss: 1.157252, acc: 0.281250] 38268: [discriminator loss: 0.540591, acc: 0.765625] [adversarial loss: 1.582081, acc: 0.078125] 38269: [discriminator loss: 0.560053, acc: 0.687500] [adversarial loss: 0.962148, acc: 0.453125] 38270: [discriminator loss: 0.570983, acc: 0.718750] [adversarial loss: 2.109937, acc: 0.031250] 38271: [discriminator loss: 0.576629, acc: 0.687500] [adversarial loss: 1.074724, acc: 0.375000] 38272: [discriminator loss: 0.407812, acc: 0.781250] [adversarial loss: 1.458612, acc: 0.203125] 38273: [discriminator loss: 0.559686, acc: 0.703125] [adversarial loss: 1.257451, acc: 0.390625] 38274: [discriminator loss: 0.519835, acc: 0.726562] [adversarial loss: 1.406644, acc: 0.312500] 38275: [discriminator loss: 0.482734, acc: 0.757812] [adversarial loss: 1.380682, acc: 0.156250] 38276: [discriminator loss: 0.495836, acc: 0.695312] [adversarial loss: 1.324208, acc: 0.281250] 38277: [discriminator loss: 0.466526, acc: 0.773438] [adversarial loss: 1.665206, acc: 0.234375] 38278: [discriminator loss: 0.452010, acc: 0.796875] [adversarial loss: 0.930488, acc: 0.500000] 38279: [discriminator loss: 0.458120, acc: 0.773438] [adversarial loss: 1.663283, acc: 0.171875] 38280: [discriminator loss: 0.600785, acc: 0.664062] [adversarial loss: 0.919544, acc: 0.484375] 38281: [discriminator loss: 0.504932, acc: 0.734375] [adversarial loss: 1.549757, acc: 0.125000] 38282: [discriminator loss: 0.511375, acc: 0.726562] [adversarial loss: 0.874750, acc: 0.500000] 38283: [discriminator loss: 0.538696, acc: 0.742188] [adversarial loss: 1.730127, acc: 0.203125] 38284: [discriminator loss: 0.547966, acc: 0.734375] [adversarial loss: 0.642234, acc: 0.625000] 38285: [discriminator loss: 0.551662, acc: 0.742188] [adversarial loss: 1.053871, acc: 0.312500] 38286: [discriminator loss: 0.514313, acc: 0.726562] [adversarial loss: 0.934505, acc: 0.484375] 38287: [discriminator loss: 0.542277, acc: 0.734375] [adversarial loss: 1.523148, acc: 0.218750] 38288: [discriminator loss: 0.538636, acc: 0.687500] [adversarial loss: 1.122660, acc: 0.390625] 38289: [discriminator loss: 0.512738, acc: 0.734375] [adversarial loss: 1.439610, acc: 0.187500] 38290: [discriminator loss: 0.437560, acc: 0.773438] [adversarial loss: 0.981975, acc: 0.390625] 38291: [discriminator loss: 0.504941, acc: 0.710938] [adversarial loss: 1.302619, acc: 0.281250] 38292: [discriminator loss: 0.410113, acc: 0.812500] [adversarial loss: 1.539842, acc: 0.187500] 38293: [discriminator loss: 0.487738, acc: 0.757812] [adversarial loss: 1.571277, acc: 0.140625] 38294: [discriminator loss: 0.434608, acc: 0.835938] [adversarial loss: 1.130759, acc: 0.328125] 38295: [discriminator loss: 0.504835, acc: 0.734375] [adversarial loss: 1.752858, acc: 0.109375] 38296: [discriminator loss: 0.488092, acc: 0.757812] [adversarial loss: 1.072429, acc: 0.296875] 38297: [discriminator loss: 0.610170, acc: 0.734375] [adversarial loss: 1.632868, acc: 0.156250] 38298: [discriminator loss: 0.400954, acc: 0.820312] [adversarial loss: 1.120250, acc: 0.312500] 38299: [discriminator loss: 0.479754, acc: 0.781250] [adversarial loss: 1.533627, acc: 0.125000] 38300: [discriminator loss: 0.500854, acc: 0.757812] [adversarial loss: 0.875548, acc: 0.484375] 38301: [discriminator loss: 0.520936, acc: 0.773438] [adversarial loss: 1.630203, acc: 0.187500] 38302: [discriminator loss: 0.537462, acc: 0.734375] [adversarial loss: 0.830560, acc: 0.468750] 38303: [discriminator loss: 0.507003, acc: 0.695312] [adversarial loss: 1.236630, acc: 0.343750] 38304: [discriminator loss: 0.490120, acc: 0.781250] [adversarial loss: 1.064218, acc: 0.421875] 38305: [discriminator loss: 0.487309, acc: 0.750000] [adversarial loss: 1.414320, acc: 0.234375] 38306: [discriminator loss: 0.396597, acc: 0.820312] [adversarial loss: 1.286334, acc: 0.296875] 38307: [discriminator loss: 0.508497, acc: 0.710938] [adversarial loss: 1.342362, acc: 0.203125] 38308: [discriminator loss: 0.455958, acc: 0.757812] [adversarial loss: 1.193182, acc: 0.296875] 38309: [discriminator loss: 0.449925, acc: 0.781250] [adversarial loss: 1.576170, acc: 0.171875] 38310: [discriminator loss: 0.542961, acc: 0.695312] [adversarial loss: 1.030258, acc: 0.437500] 38311: [discriminator loss: 0.567966, acc: 0.679688] [adversarial loss: 1.533038, acc: 0.250000] 38312: [discriminator loss: 0.479310, acc: 0.757812] [adversarial loss: 1.211910, acc: 0.312500] 38313: [discriminator loss: 0.490058, acc: 0.750000] [adversarial loss: 2.156376, acc: 0.031250] 38314: [discriminator loss: 0.571512, acc: 0.695312] [adversarial loss: 0.934617, acc: 0.421875] 38315: [discriminator loss: 0.564607, acc: 0.703125] [adversarial loss: 2.151335, acc: 0.046875] 38316: [discriminator loss: 0.506013, acc: 0.710938] [adversarial loss: 1.055448, acc: 0.281250] 38317: [discriminator loss: 0.522071, acc: 0.742188] [adversarial loss: 1.401363, acc: 0.234375] 38318: [discriminator loss: 0.461240, acc: 0.773438] [adversarial loss: 1.090605, acc: 0.343750] 38319: [discriminator loss: 0.472320, acc: 0.843750] [adversarial loss: 1.566550, acc: 0.171875] 38320: [discriminator loss: 0.479524, acc: 0.804688] [adversarial loss: 1.431157, acc: 0.265625] 38321: [discriminator loss: 0.469301, acc: 0.773438] [adversarial loss: 1.219299, acc: 0.265625] 38322: [discriminator loss: 0.497912, acc: 0.804688] [adversarial loss: 1.524418, acc: 0.125000] 38323: [discriminator loss: 0.495991, acc: 0.718750] [adversarial loss: 1.161067, acc: 0.328125] 38324: [discriminator loss: 0.442216, acc: 0.781250] [adversarial loss: 1.584522, acc: 0.218750] 38325: [discriminator loss: 0.498882, acc: 0.734375] [adversarial loss: 1.835013, acc: 0.062500] 38326: [discriminator loss: 0.478237, acc: 0.750000] [adversarial loss: 1.553423, acc: 0.218750] 38327: [discriminator loss: 0.486639, acc: 0.718750] [adversarial loss: 1.249361, acc: 0.234375] 38328: [discriminator loss: 0.546216, acc: 0.695312] [adversarial loss: 1.553025, acc: 0.234375] 38329: [discriminator loss: 0.433154, acc: 0.742188] [adversarial loss: 1.060352, acc: 0.359375] 38330: [discriminator loss: 0.429744, acc: 0.820312] [adversarial loss: 1.637284, acc: 0.156250] 38331: [discriminator loss: 0.499687, acc: 0.718750] [adversarial loss: 1.114178, acc: 0.406250] 38332: [discriminator loss: 0.547917, acc: 0.718750] [adversarial loss: 1.585808, acc: 0.125000] 38333: [discriminator loss: 0.509438, acc: 0.742188] [adversarial loss: 0.704762, acc: 0.593750] 38334: [discriminator loss: 0.711440, acc: 0.664062] [adversarial loss: 1.800956, acc: 0.093750] 38335: [discriminator loss: 0.544777, acc: 0.718750] [adversarial loss: 1.082447, acc: 0.328125] 38336: [discriminator loss: 0.491011, acc: 0.820312] [adversarial loss: 1.221194, acc: 0.296875] 38337: [discriminator loss: 0.432911, acc: 0.796875] [adversarial loss: 0.948872, acc: 0.515625] 38338: [discriminator loss: 0.481959, acc: 0.734375] [adversarial loss: 1.441966, acc: 0.265625] 38339: [discriminator loss: 0.455690, acc: 0.773438] [adversarial loss: 0.842702, acc: 0.578125] 38340: [discriminator loss: 0.487833, acc: 0.750000] [adversarial loss: 1.117043, acc: 0.328125] 38341: [discriminator loss: 0.489642, acc: 0.734375] [adversarial loss: 0.912464, acc: 0.578125] 38342: [discriminator loss: 0.521482, acc: 0.742188] [adversarial loss: 1.406420, acc: 0.234375] 38343: [discriminator loss: 0.501500, acc: 0.718750] [adversarial loss: 1.017136, acc: 0.406250] 38344: [discriminator loss: 0.453571, acc: 0.781250] [adversarial loss: 1.430888, acc: 0.156250] 38345: [discriminator loss: 0.544352, acc: 0.734375] [adversarial loss: 1.020539, acc: 0.359375] 38346: [discriminator loss: 0.569851, acc: 0.718750] [adversarial loss: 1.519901, acc: 0.265625] 38347: [discriminator loss: 0.512550, acc: 0.765625] [adversarial loss: 1.234221, acc: 0.281250] 38348: [discriminator loss: 0.497656, acc: 0.765625] [adversarial loss: 1.148246, acc: 0.343750] 38349: [discriminator loss: 0.543571, acc: 0.687500] [adversarial loss: 1.435209, acc: 0.171875] 38350: [discriminator loss: 0.466825, acc: 0.773438] [adversarial loss: 1.092407, acc: 0.328125] 38351: [discriminator loss: 0.503002, acc: 0.781250] [adversarial loss: 1.583601, acc: 0.093750] 38352: [discriminator loss: 0.572869, acc: 0.718750] [adversarial loss: 0.872089, acc: 0.437500] 38353: [discriminator loss: 0.587740, acc: 0.718750] [adversarial loss: 1.367868, acc: 0.156250] 38354: [discriminator loss: 0.510800, acc: 0.703125] [adversarial loss: 1.004320, acc: 0.406250] 38355: [discriminator loss: 0.506628, acc: 0.765625] [adversarial loss: 1.571334, acc: 0.109375] 38356: [discriminator loss: 0.530279, acc: 0.695312] [adversarial loss: 1.151512, acc: 0.156250] 38357: [discriminator loss: 0.459863, acc: 0.742188] [adversarial loss: 1.617386, acc: 0.203125] 38358: [discriminator loss: 0.519263, acc: 0.710938] [adversarial loss: 1.234691, acc: 0.265625] 38359: [discriminator loss: 0.513763, acc: 0.781250] [adversarial loss: 1.196949, acc: 0.312500] 38360: [discriminator loss: 0.461496, acc: 0.828125] [adversarial loss: 1.616167, acc: 0.109375] 38361: [discriminator loss: 0.553396, acc: 0.710938] [adversarial loss: 1.435395, acc: 0.218750] 38362: [discriminator loss: 0.560551, acc: 0.726562] [adversarial loss: 1.507306, acc: 0.078125] 38363: [discriminator loss: 0.557578, acc: 0.695312] [adversarial loss: 1.266361, acc: 0.234375] 38364: [discriminator loss: 0.480378, acc: 0.789062] [adversarial loss: 1.434031, acc: 0.171875] 38365: [discriminator loss: 0.488233, acc: 0.789062] [adversarial loss: 1.055512, acc: 0.296875] 38366: [discriminator loss: 0.501182, acc: 0.750000] [adversarial loss: 1.959494, acc: 0.078125] 38367: [discriminator loss: 0.519866, acc: 0.734375] [adversarial loss: 1.044130, acc: 0.343750] 38368: [discriminator loss: 0.501240, acc: 0.718750] [adversarial loss: 1.493336, acc: 0.156250] 38369: [discriminator loss: 0.516468, acc: 0.726562] [adversarial loss: 1.114969, acc: 0.343750] 38370: [discriminator loss: 0.477683, acc: 0.726562] [adversarial loss: 1.142359, acc: 0.328125] 38371: [discriminator loss: 0.481593, acc: 0.757812] [adversarial loss: 1.590342, acc: 0.109375] 38372: [discriminator loss: 0.426100, acc: 0.804688] [adversarial loss: 1.208570, acc: 0.265625] 38373: [discriminator loss: 0.502654, acc: 0.703125] [adversarial loss: 1.599026, acc: 0.140625] 38374: [discriminator loss: 0.459148, acc: 0.796875] [adversarial loss: 1.046581, acc: 0.390625] 38375: [discriminator loss: 0.587179, acc: 0.703125] [adversarial loss: 1.759498, acc: 0.109375] 38376: [discriminator loss: 0.470883, acc: 0.750000] [adversarial loss: 1.088812, acc: 0.390625] 38377: [discriminator loss: 0.565277, acc: 0.710938] [adversarial loss: 1.234073, acc: 0.281250] 38378: [discriminator loss: 0.504229, acc: 0.757812] [adversarial loss: 1.497193, acc: 0.140625] 38379: [discriminator loss: 0.512408, acc: 0.734375] [adversarial loss: 1.171137, acc: 0.312500] 38380: [discriminator loss: 0.540440, acc: 0.718750] [adversarial loss: 1.551612, acc: 0.203125] 38381: [discriminator loss: 0.497558, acc: 0.726562] [adversarial loss: 1.127614, acc: 0.312500] 38382: [discriminator loss: 0.515636, acc: 0.742188] [adversarial loss: 1.672789, acc: 0.171875] 38383: [discriminator loss: 0.514843, acc: 0.734375] [adversarial loss: 0.800628, acc: 0.531250] 38384: [discriminator loss: 0.556534, acc: 0.679688] [adversarial loss: 2.060740, acc: 0.046875] 38385: [discriminator loss: 0.667118, acc: 0.601562] [adversarial loss: 1.013102, acc: 0.515625] 38386: [discriminator loss: 0.566215, acc: 0.757812] [adversarial loss: 1.525519, acc: 0.171875] 38387: [discriminator loss: 0.473363, acc: 0.742188] [adversarial loss: 1.195538, acc: 0.328125] 38388: [discriminator loss: 0.520917, acc: 0.710938] [adversarial loss: 1.177422, acc: 0.312500] 38389: [discriminator loss: 0.471074, acc: 0.773438] [adversarial loss: 1.310239, acc: 0.218750] 38390: [discriminator loss: 0.517968, acc: 0.734375] [adversarial loss: 1.610607, acc: 0.109375] 38391: [discriminator loss: 0.504542, acc: 0.796875] [adversarial loss: 0.992992, acc: 0.453125] 38392: [discriminator loss: 0.565946, acc: 0.734375] [adversarial loss: 1.802347, acc: 0.140625] 38393: [discriminator loss: 0.528173, acc: 0.726562] [adversarial loss: 0.928085, acc: 0.531250] 38394: [discriminator loss: 0.486443, acc: 0.781250] [adversarial loss: 1.923440, acc: 0.062500] 38395: [discriminator loss: 0.445481, acc: 0.828125] [adversarial loss: 1.281653, acc: 0.343750] 38396: [discriminator loss: 0.498886, acc: 0.750000] [adversarial loss: 1.548293, acc: 0.234375] 38397: [discriminator loss: 0.484478, acc: 0.750000] [adversarial loss: 1.218707, acc: 0.390625] 38398: [discriminator loss: 0.531949, acc: 0.726562] [adversarial loss: 1.336709, acc: 0.218750] 38399: [discriminator loss: 0.460972, acc: 0.750000] [adversarial loss: 1.234138, acc: 0.218750] 38400: [discriminator loss: 0.490958, acc: 0.765625] [adversarial loss: 1.419378, acc: 0.156250] 38401: [discriminator loss: 0.439391, acc: 0.796875] [adversarial loss: 0.907697, acc: 0.531250] 38402: [discriminator loss: 0.658189, acc: 0.671875] [adversarial loss: 1.504916, acc: 0.078125] 38403: [discriminator loss: 0.507486, acc: 0.765625] [adversarial loss: 0.929678, acc: 0.343750] 38404: [discriminator loss: 0.539879, acc: 0.757812] [adversarial loss: 1.827100, acc: 0.156250] 38405: [discriminator loss: 0.575960, acc: 0.718750] [adversarial loss: 1.243436, acc: 0.281250] 38406: [discriminator loss: 0.528909, acc: 0.734375] [adversarial loss: 1.440839, acc: 0.187500] 38407: [discriminator loss: 0.560547, acc: 0.726562] [adversarial loss: 1.323334, acc: 0.234375] 38408: [discriminator loss: 0.529271, acc: 0.734375] [adversarial loss: 1.191445, acc: 0.218750] 38409: [discriminator loss: 0.534004, acc: 0.734375] [adversarial loss: 0.903364, acc: 0.484375] 38410: [discriminator loss: 0.568741, acc: 0.718750] [adversarial loss: 1.634518, acc: 0.078125] 38411: [discriminator loss: 0.561858, acc: 0.671875] [adversarial loss: 1.156830, acc: 0.375000] 38412: [discriminator loss: 0.498029, acc: 0.789062] [adversarial loss: 1.352303, acc: 0.140625] 38413: [discriminator loss: 0.537345, acc: 0.679688] [adversarial loss: 0.755196, acc: 0.593750] 38414: [discriminator loss: 0.526478, acc: 0.750000] [adversarial loss: 1.196813, acc: 0.250000] 38415: [discriminator loss: 0.481887, acc: 0.750000] [adversarial loss: 1.367542, acc: 0.218750] 38416: [discriminator loss: 0.501355, acc: 0.781250] [adversarial loss: 1.341674, acc: 0.218750] 38417: [discriminator loss: 0.540284, acc: 0.734375] [adversarial loss: 1.365787, acc: 0.156250] 38418: [discriminator loss: 0.473317, acc: 0.773438] [adversarial loss: 1.647531, acc: 0.187500] 38419: [discriminator loss: 0.424172, acc: 0.789062] [adversarial loss: 1.167759, acc: 0.296875] 38420: [discriminator loss: 0.466381, acc: 0.789062] [adversarial loss: 1.361318, acc: 0.203125] 38421: [discriminator loss: 0.554265, acc: 0.734375] [adversarial loss: 1.421869, acc: 0.234375] 38422: [discriminator loss: 0.527827, acc: 0.718750] [adversarial loss: 0.974769, acc: 0.484375] 38423: [discriminator loss: 0.564021, acc: 0.726562] [adversarial loss: 2.071596, acc: 0.062500] 38424: [discriminator loss: 0.586069, acc: 0.632812] [adversarial loss: 0.741634, acc: 0.625000] 38425: [discriminator loss: 0.647524, acc: 0.695312] [adversarial loss: 1.338220, acc: 0.234375] 38426: [discriminator loss: 0.553596, acc: 0.710938] [adversarial loss: 1.038686, acc: 0.421875] 38427: [discriminator loss: 0.507278, acc: 0.726562] [adversarial loss: 1.762470, acc: 0.093750] 38428: [discriminator loss: 0.478534, acc: 0.804688] [adversarial loss: 1.303319, acc: 0.265625] 38429: [discriminator loss: 0.568833, acc: 0.718750] [adversarial loss: 1.287620, acc: 0.234375] 38430: [discriminator loss: 0.447637, acc: 0.789062] [adversarial loss: 1.414451, acc: 0.265625] 38431: [discriminator loss: 0.570511, acc: 0.695312] [adversarial loss: 1.179465, acc: 0.359375] 38432: [discriminator loss: 0.566182, acc: 0.695312] [adversarial loss: 1.508292, acc: 0.156250] 38433: [discriminator loss: 0.458503, acc: 0.796875] [adversarial loss: 1.379215, acc: 0.171875] 38434: [discriminator loss: 0.514300, acc: 0.718750] [adversarial loss: 1.491569, acc: 0.125000] 38435: [discriminator loss: 0.490329, acc: 0.734375] [adversarial loss: 1.478664, acc: 0.156250] 38436: [discriminator loss: 0.505044, acc: 0.750000] [adversarial loss: 1.150963, acc: 0.203125] 38437: [discriminator loss: 0.450474, acc: 0.757812] [adversarial loss: 1.443733, acc: 0.156250] 38438: [discriminator loss: 0.557039, acc: 0.750000] [adversarial loss: 1.157107, acc: 0.234375] 38439: [discriminator loss: 0.516285, acc: 0.734375] [adversarial loss: 1.470738, acc: 0.218750] 38440: [discriminator loss: 0.540003, acc: 0.687500] [adversarial loss: 1.356664, acc: 0.312500] 38441: [discriminator loss: 0.457488, acc: 0.781250] [adversarial loss: 1.384698, acc: 0.218750] 38442: [discriminator loss: 0.430828, acc: 0.804688] [adversarial loss: 1.464023, acc: 0.140625] 38443: [discriminator loss: 0.499207, acc: 0.710938] [adversarial loss: 1.396712, acc: 0.250000] 38444: [discriminator loss: 0.522566, acc: 0.734375] [adversarial loss: 1.135074, acc: 0.312500] 38445: [discriminator loss: 0.431140, acc: 0.773438] [adversarial loss: 1.474839, acc: 0.203125] 38446: [discriminator loss: 0.585763, acc: 0.734375] [adversarial loss: 1.199986, acc: 0.312500] 38447: [discriminator loss: 0.490020, acc: 0.734375] [adversarial loss: 1.698777, acc: 0.125000] 38448: [discriminator loss: 0.492447, acc: 0.734375] [adversarial loss: 1.092476, acc: 0.390625] 38449: [discriminator loss: 0.607259, acc: 0.734375] [adversarial loss: 2.060768, acc: 0.062500] 38450: [discriminator loss: 0.547896, acc: 0.703125] [adversarial loss: 0.905210, acc: 0.484375] 38451: [discriminator loss: 0.549599, acc: 0.718750] [adversarial loss: 2.125282, acc: 0.031250] 38452: [discriminator loss: 0.606155, acc: 0.679688] [adversarial loss: 0.872131, acc: 0.375000] 38453: [discriminator loss: 0.514850, acc: 0.742188] [adversarial loss: 1.377161, acc: 0.109375] 38454: [discriminator loss: 0.487089, acc: 0.750000] [adversarial loss: 1.132382, acc: 0.343750] 38455: [discriminator loss: 0.494332, acc: 0.773438] [adversarial loss: 1.412198, acc: 0.187500] 38456: [discriminator loss: 0.411061, acc: 0.835938] [adversarial loss: 1.957644, acc: 0.093750] 38457: [discriminator loss: 0.608328, acc: 0.695312] [adversarial loss: 1.167163, acc: 0.296875] 38458: [discriminator loss: 0.454604, acc: 0.789062] [adversarial loss: 1.507071, acc: 0.125000] 38459: [discriminator loss: 0.526825, acc: 0.742188] [adversarial loss: 1.178208, acc: 0.328125] 38460: [discriminator loss: 0.545640, acc: 0.695312] [adversarial loss: 1.982574, acc: 0.078125] 38461: [discriminator loss: 0.419432, acc: 0.796875] [adversarial loss: 1.066453, acc: 0.468750] 38462: [discriminator loss: 0.437562, acc: 0.804688] [adversarial loss: 1.514589, acc: 0.125000] 38463: [discriminator loss: 0.500029, acc: 0.757812] [adversarial loss: 1.188252, acc: 0.296875] 38464: [discriminator loss: 0.470982, acc: 0.820312] [adversarial loss: 1.175724, acc: 0.296875] 38465: [discriminator loss: 0.534575, acc: 0.679688] [adversarial loss: 0.803124, acc: 0.546875] 38466: [discriminator loss: 0.490744, acc: 0.781250] [adversarial loss: 1.585135, acc: 0.109375] 38467: [discriminator loss: 0.546287, acc: 0.734375] [adversarial loss: 1.343670, acc: 0.250000] 38468: [discriminator loss: 0.441601, acc: 0.796875] [adversarial loss: 1.263955, acc: 0.265625] 38469: [discriminator loss: 0.585547, acc: 0.695312] [adversarial loss: 1.433729, acc: 0.187500] 38470: [discriminator loss: 0.465576, acc: 0.804688] [adversarial loss: 1.450512, acc: 0.218750] 38471: [discriminator loss: 0.415205, acc: 0.851562] [adversarial loss: 1.457341, acc: 0.203125] 38472: [discriminator loss: 0.536343, acc: 0.757812] [adversarial loss: 1.574641, acc: 0.109375] 38473: [discriminator loss: 0.405082, acc: 0.796875] [adversarial loss: 1.103073, acc: 0.328125] 38474: [discriminator loss: 0.448498, acc: 0.773438] [adversarial loss: 1.336451, acc: 0.234375] 38475: [discriminator loss: 0.467751, acc: 0.726562] [adversarial loss: 1.261661, acc: 0.296875] 38476: [discriminator loss: 0.507077, acc: 0.765625] [adversarial loss: 1.937228, acc: 0.062500] 38477: [discriminator loss: 0.517049, acc: 0.750000] [adversarial loss: 1.237935, acc: 0.265625] 38478: [discriminator loss: 0.556939, acc: 0.734375] [adversarial loss: 1.530939, acc: 0.109375] 38479: [discriminator loss: 0.529333, acc: 0.734375] [adversarial loss: 1.259276, acc: 0.218750] 38480: [discriminator loss: 0.493778, acc: 0.781250] [adversarial loss: 1.727034, acc: 0.078125] 38481: [discriminator loss: 0.586594, acc: 0.710938] [adversarial loss: 1.165968, acc: 0.312500] 38482: [discriminator loss: 0.511670, acc: 0.765625] [adversarial loss: 1.171528, acc: 0.296875] 38483: [discriminator loss: 0.446669, acc: 0.789062] [adversarial loss: 1.409830, acc: 0.281250] 38484: [discriminator loss: 0.486846, acc: 0.726562] [adversarial loss: 1.571682, acc: 0.109375] 38485: [discriminator loss: 0.534663, acc: 0.734375] [adversarial loss: 1.028606, acc: 0.390625] 38486: [discriminator loss: 0.496667, acc: 0.765625] [adversarial loss: 1.713325, acc: 0.093750] 38487: [discriminator loss: 0.450372, acc: 0.765625] [adversarial loss: 0.963618, acc: 0.421875] 38488: [discriminator loss: 0.514158, acc: 0.710938] [adversarial loss: 1.704359, acc: 0.062500] 38489: [discriminator loss: 0.503043, acc: 0.710938] [adversarial loss: 1.499054, acc: 0.156250] 38490: [discriminator loss: 0.475555, acc: 0.734375] [adversarial loss: 1.166603, acc: 0.343750] 38491: [discriminator loss: 0.531155, acc: 0.734375] [adversarial loss: 1.164593, acc: 0.296875] 38492: [discriminator loss: 0.517677, acc: 0.750000] [adversarial loss: 1.216750, acc: 0.281250] 38493: [discriminator loss: 0.412297, acc: 0.835938] [adversarial loss: 1.389107, acc: 0.265625] 38494: [discriminator loss: 0.502807, acc: 0.726562] [adversarial loss: 1.290364, acc: 0.250000] 38495: [discriminator loss: 0.516897, acc: 0.757812] [adversarial loss: 1.189746, acc: 0.312500] 38496: [discriminator loss: 0.435845, acc: 0.804688] [adversarial loss: 1.063847, acc: 0.390625] 38497: [discriminator loss: 0.484363, acc: 0.796875] [adversarial loss: 1.784010, acc: 0.109375] 38498: [discriminator loss: 0.612139, acc: 0.632812] [adversarial loss: 0.912838, acc: 0.500000] 38499: [discriminator loss: 0.664581, acc: 0.656250] [adversarial loss: 1.634701, acc: 0.062500] 38500: [discriminator loss: 0.439814, acc: 0.796875] [adversarial loss: 1.291077, acc: 0.281250] 38501: [discriminator loss: 0.521220, acc: 0.781250] [adversarial loss: 1.535638, acc: 0.171875] 38502: [discriminator loss: 0.450287, acc: 0.789062] [adversarial loss: 1.108123, acc: 0.437500] 38503: [discriminator loss: 0.406890, acc: 0.835938] [adversarial loss: 1.395707, acc: 0.265625] 38504: [discriminator loss: 0.458358, acc: 0.773438] [adversarial loss: 0.970174, acc: 0.390625] 38505: [discriminator loss: 0.531693, acc: 0.703125] [adversarial loss: 1.398159, acc: 0.203125] 38506: [discriminator loss: 0.420680, acc: 0.835938] [adversarial loss: 1.900800, acc: 0.078125] 38507: [discriminator loss: 0.564216, acc: 0.710938] [adversarial loss: 0.959676, acc: 0.515625] 38508: [discriminator loss: 0.505581, acc: 0.765625] [adversarial loss: 1.951784, acc: 0.078125] 38509: [discriminator loss: 0.539660, acc: 0.695312] [adversarial loss: 0.992227, acc: 0.343750] 38510: [discriminator loss: 0.483977, acc: 0.718750] [adversarial loss: 1.754113, acc: 0.109375] 38511: [discriminator loss: 0.505490, acc: 0.703125] [adversarial loss: 1.093277, acc: 0.390625] 38512: [discriminator loss: 0.506798, acc: 0.710938] [adversarial loss: 1.388712, acc: 0.218750] 38513: [discriminator loss: 0.438140, acc: 0.781250] [adversarial loss: 1.473137, acc: 0.296875] 38514: [discriminator loss: 0.496708, acc: 0.765625] [adversarial loss: 1.081936, acc: 0.312500] 38515: [discriminator loss: 0.455738, acc: 0.742188] [adversarial loss: 1.229904, acc: 0.218750] 38516: [discriminator loss: 0.419406, acc: 0.828125] [adversarial loss: 1.217901, acc: 0.296875] 38517: [discriminator loss: 0.524101, acc: 0.710938] [adversarial loss: 1.751837, acc: 0.140625] 38518: [discriminator loss: 0.586740, acc: 0.648438] [adversarial loss: 0.983780, acc: 0.375000] 38519: [discriminator loss: 0.563011, acc: 0.679688] [adversarial loss: 1.457377, acc: 0.265625] 38520: [discriminator loss: 0.541742, acc: 0.664062] [adversarial loss: 0.883771, acc: 0.515625] 38521: [discriminator loss: 0.551404, acc: 0.695312] [adversarial loss: 1.441827, acc: 0.171875] 38522: [discriminator loss: 0.488998, acc: 0.742188] [adversarial loss: 1.172384, acc: 0.281250] 38523: [discriminator loss: 0.497874, acc: 0.781250] [adversarial loss: 1.491623, acc: 0.125000] 38524: [discriminator loss: 0.501198, acc: 0.742188] [adversarial loss: 1.348216, acc: 0.218750] 38525: [discriminator loss: 0.469152, acc: 0.750000] [adversarial loss: 1.544746, acc: 0.218750] 38526: [discriminator loss: 0.521072, acc: 0.742188] [adversarial loss: 1.352781, acc: 0.281250] 38527: [discriminator loss: 0.540583, acc: 0.718750] [adversarial loss: 1.900618, acc: 0.109375] 38528: [discriminator loss: 0.527825, acc: 0.750000] [adversarial loss: 0.919263, acc: 0.453125] 38529: [discriminator loss: 0.456397, acc: 0.781250] [adversarial loss: 1.687786, acc: 0.203125] 38530: [discriminator loss: 0.429859, acc: 0.804688] [adversarial loss: 0.979891, acc: 0.484375] 38531: [discriminator loss: 0.490279, acc: 0.750000] [adversarial loss: 1.461668, acc: 0.250000] 38532: [discriminator loss: 0.425575, acc: 0.804688] [adversarial loss: 1.007029, acc: 0.484375] 38533: [discriminator loss: 0.440434, acc: 0.828125] [adversarial loss: 1.105546, acc: 0.375000] 38534: [discriminator loss: 0.391410, acc: 0.820312] [adversarial loss: 1.246980, acc: 0.312500] 38535: [discriminator loss: 0.427765, acc: 0.812500] [adversarial loss: 0.714506, acc: 0.578125] 38536: [discriminator loss: 0.431219, acc: 0.812500] [adversarial loss: 1.573650, acc: 0.203125] 38537: [discriminator loss: 0.573784, acc: 0.671875] [adversarial loss: 0.908362, acc: 0.406250] 38538: [discriminator loss: 0.503633, acc: 0.726562] [adversarial loss: 1.187691, acc: 0.312500] 38539: [discriminator loss: 0.432854, acc: 0.796875] [adversarial loss: 1.063244, acc: 0.343750] 38540: [discriminator loss: 0.485879, acc: 0.765625] [adversarial loss: 1.481801, acc: 0.125000] 38541: [discriminator loss: 0.468346, acc: 0.789062] [adversarial loss: 0.923408, acc: 0.453125] 38542: [discriminator loss: 0.510373, acc: 0.789062] [adversarial loss: 1.837128, acc: 0.156250] 38543: [discriminator loss: 0.485989, acc: 0.734375] [adversarial loss: 1.053626, acc: 0.375000] 38544: [discriminator loss: 0.512343, acc: 0.789062] [adversarial loss: 1.370791, acc: 0.250000] 38545: [discriminator loss: 0.513098, acc: 0.742188] [adversarial loss: 0.892062, acc: 0.562500] 38546: [discriminator loss: 0.542234, acc: 0.703125] [adversarial loss: 1.509312, acc: 0.187500] 38547: [discriminator loss: 0.486721, acc: 0.765625] [adversarial loss: 0.969437, acc: 0.437500] 38548: [discriminator loss: 0.523059, acc: 0.726562] [adversarial loss: 1.546760, acc: 0.156250] 38549: [discriminator loss: 0.454724, acc: 0.796875] [adversarial loss: 1.060382, acc: 0.390625] 38550: [discriminator loss: 0.516139, acc: 0.742188] [adversarial loss: 1.971955, acc: 0.093750] 38551: [discriminator loss: 0.564353, acc: 0.687500] [adversarial loss: 1.048511, acc: 0.375000] 38552: [discriminator loss: 0.581814, acc: 0.703125] [adversarial loss: 1.802332, acc: 0.109375] 38553: [discriminator loss: 0.509376, acc: 0.718750] [adversarial loss: 1.163684, acc: 0.296875] 38554: [discriminator loss: 0.444009, acc: 0.765625] [adversarial loss: 1.561274, acc: 0.171875] 38555: [discriminator loss: 0.504832, acc: 0.765625] [adversarial loss: 1.068674, acc: 0.406250] 38556: [discriminator loss: 0.533098, acc: 0.695312] [adversarial loss: 1.442699, acc: 0.156250] 38557: [discriminator loss: 0.629240, acc: 0.687500] [adversarial loss: 0.971745, acc: 0.453125] 38558: [discriminator loss: 0.439610, acc: 0.789062] [adversarial loss: 1.784937, acc: 0.078125] 38559: [discriminator loss: 0.487816, acc: 0.742188] [adversarial loss: 1.198387, acc: 0.265625] 38560: [discriminator loss: 0.487400, acc: 0.773438] [adversarial loss: 1.508158, acc: 0.218750] 38561: [discriminator loss: 0.590202, acc: 0.695312] [adversarial loss: 1.220661, acc: 0.250000] 38562: [discriminator loss: 0.500072, acc: 0.750000] [adversarial loss: 1.690894, acc: 0.125000] 38563: [discriminator loss: 0.516023, acc: 0.742188] [adversarial loss: 1.074715, acc: 0.390625] 38564: [discriminator loss: 0.545997, acc: 0.710938] [adversarial loss: 1.740518, acc: 0.078125] 38565: [discriminator loss: 0.539535, acc: 0.726562] [adversarial loss: 1.013454, acc: 0.375000] 38566: [discriminator loss: 0.538550, acc: 0.742188] [adversarial loss: 1.634344, acc: 0.156250] 38567: [discriminator loss: 0.571343, acc: 0.687500] [adversarial loss: 1.175982, acc: 0.359375] 38568: [discriminator loss: 0.520478, acc: 0.726562] [adversarial loss: 1.491496, acc: 0.140625] 38569: [discriminator loss: 0.580659, acc: 0.632812] [adversarial loss: 1.151416, acc: 0.265625] 38570: [discriminator loss: 0.506655, acc: 0.765625] [adversarial loss: 1.437284, acc: 0.156250] 38571: [discriminator loss: 0.468700, acc: 0.765625] [adversarial loss: 1.289819, acc: 0.171875] 38572: [discriminator loss: 0.451027, acc: 0.750000] [adversarial loss: 1.210888, acc: 0.281250] 38573: [discriminator loss: 0.437381, acc: 0.804688] [adversarial loss: 1.655301, acc: 0.187500] 38574: [discriminator loss: 0.547057, acc: 0.687500] [adversarial loss: 1.308647, acc: 0.343750] 38575: [discriminator loss: 0.464232, acc: 0.789062] [adversarial loss: 1.272346, acc: 0.250000] 38576: [discriminator loss: 0.453915, acc: 0.781250] [adversarial loss: 1.198310, acc: 0.343750] 38577: [discriminator loss: 0.457922, acc: 0.765625] [adversarial loss: 1.321774, acc: 0.328125] 38578: [discriminator loss: 0.510175, acc: 0.781250] [adversarial loss: 1.090357, acc: 0.390625] 38579: [discriminator loss: 0.449061, acc: 0.812500] [adversarial loss: 1.610566, acc: 0.125000] 38580: [discriminator loss: 0.403258, acc: 0.835938] [adversarial loss: 1.140506, acc: 0.343750] 38581: [discriminator loss: 0.526711, acc: 0.734375] [adversarial loss: 2.227865, acc: 0.031250] 38582: [discriminator loss: 0.528976, acc: 0.734375] [adversarial loss: 0.864739, acc: 0.500000] 38583: [discriminator loss: 0.528982, acc: 0.718750] [adversarial loss: 2.264584, acc: 0.015625] 38584: [discriminator loss: 0.563460, acc: 0.710938] [adversarial loss: 0.861080, acc: 0.421875] 38585: [discriminator loss: 0.577665, acc: 0.718750] [adversarial loss: 2.262632, acc: 0.062500] 38586: [discriminator loss: 0.579075, acc: 0.695312] [adversarial loss: 1.114297, acc: 0.281250] 38587: [discriminator loss: 0.462675, acc: 0.757812] [adversarial loss: 1.510791, acc: 0.187500] 38588: [discriminator loss: 0.459139, acc: 0.773438] [adversarial loss: 1.234259, acc: 0.296875] 38589: [discriminator loss: 0.533211, acc: 0.710938] [adversarial loss: 1.446047, acc: 0.171875] 38590: [discriminator loss: 0.488520, acc: 0.773438] [adversarial loss: 1.445261, acc: 0.187500] 38591: [discriminator loss: 0.527965, acc: 0.750000] [adversarial loss: 1.258647, acc: 0.203125] 38592: [discriminator loss: 0.496676, acc: 0.765625] [adversarial loss: 1.664089, acc: 0.140625] 38593: [discriminator loss: 0.510363, acc: 0.703125] [adversarial loss: 1.354120, acc: 0.328125] 38594: [discriminator loss: 0.460312, acc: 0.796875] [adversarial loss: 1.228397, acc: 0.187500] 38595: [discriminator loss: 0.493565, acc: 0.726562] [adversarial loss: 1.338401, acc: 0.234375] 38596: [discriminator loss: 0.479226, acc: 0.742188] [adversarial loss: 1.038694, acc: 0.343750] 38597: [discriminator loss: 0.499746, acc: 0.796875] [adversarial loss: 1.379296, acc: 0.281250] 38598: [discriminator loss: 0.485590, acc: 0.796875] [adversarial loss: 0.975266, acc: 0.437500] 38599: [discriminator loss: 0.530526, acc: 0.757812] [adversarial loss: 1.936379, acc: 0.046875] 38600: [discriminator loss: 0.548048, acc: 0.726562] [adversarial loss: 1.218948, acc: 0.296875] 38601: [discriminator loss: 0.428532, acc: 0.835938] [adversarial loss: 1.609274, acc: 0.156250] 38602: [discriminator loss: 0.430793, acc: 0.789062] [adversarial loss: 1.281548, acc: 0.312500] 38603: [discriminator loss: 0.443975, acc: 0.789062] [adversarial loss: 1.423404, acc: 0.296875] 38604: [discriminator loss: 0.499061, acc: 0.742188] [adversarial loss: 0.891440, acc: 0.531250] 38605: [discriminator loss: 0.438767, acc: 0.796875] [adversarial loss: 1.483101, acc: 0.140625] 38606: [discriminator loss: 0.485685, acc: 0.710938] [adversarial loss: 0.640710, acc: 0.656250] 38607: [discriminator loss: 0.565439, acc: 0.671875] [adversarial loss: 2.050931, acc: 0.093750] 38608: [discriminator loss: 0.552821, acc: 0.710938] [adversarial loss: 0.781069, acc: 0.578125] 38609: [discriminator loss: 0.585814, acc: 0.648438] [adversarial loss: 1.598194, acc: 0.171875] 38610: [discriminator loss: 0.498311, acc: 0.710938] [adversarial loss: 1.312002, acc: 0.234375] 38611: [discriminator loss: 0.437106, acc: 0.773438] [adversarial loss: 1.486805, acc: 0.156250] 38612: [discriminator loss: 0.456873, acc: 0.757812] [adversarial loss: 1.228749, acc: 0.281250] 38613: [discriminator loss: 0.483900, acc: 0.789062] [adversarial loss: 1.367080, acc: 0.187500] 38614: [discriminator loss: 0.443474, acc: 0.804688] [adversarial loss: 1.249532, acc: 0.328125] 38615: [discriminator loss: 0.460173, acc: 0.757812] [adversarial loss: 1.847872, acc: 0.109375] 38616: [discriminator loss: 0.524794, acc: 0.710938] [adversarial loss: 0.832586, acc: 0.531250] 38617: [discriminator loss: 0.700878, acc: 0.648438] [adversarial loss: 2.037379, acc: 0.093750] 38618: [discriminator loss: 0.600249, acc: 0.687500] [adversarial loss: 0.914987, acc: 0.578125] 38619: [discriminator loss: 0.541232, acc: 0.687500] [adversarial loss: 1.200649, acc: 0.234375] 38620: [discriminator loss: 0.536674, acc: 0.765625] [adversarial loss: 1.731736, acc: 0.109375] 38621: [discriminator loss: 0.436284, acc: 0.804688] [adversarial loss: 1.389325, acc: 0.234375] 38622: [discriminator loss: 0.552580, acc: 0.679688] [adversarial loss: 1.542186, acc: 0.218750] 38623: [discriminator loss: 0.506217, acc: 0.765625] [adversarial loss: 1.198375, acc: 0.250000] 38624: [discriminator loss: 0.553246, acc: 0.773438] [adversarial loss: 1.808074, acc: 0.109375] 38625: [discriminator loss: 0.497620, acc: 0.750000] [adversarial loss: 1.318583, acc: 0.203125] 38626: [discriminator loss: 0.461591, acc: 0.750000] [adversarial loss: 1.505810, acc: 0.187500] 38627: [discriminator loss: 0.425289, acc: 0.781250] [adversarial loss: 1.321394, acc: 0.312500] 38628: [discriminator loss: 0.501221, acc: 0.742188] [adversarial loss: 1.703080, acc: 0.203125] 38629: [discriminator loss: 0.479561, acc: 0.750000] [adversarial loss: 1.170085, acc: 0.328125] 38630: [discriminator loss: 0.493046, acc: 0.710938] [adversarial loss: 1.331270, acc: 0.265625] 38631: [discriminator loss: 0.457200, acc: 0.765625] [adversarial loss: 1.187298, acc: 0.250000] 38632: [discriminator loss: 0.487521, acc: 0.726562] [adversarial loss: 1.400532, acc: 0.218750] 38633: [discriminator loss: 0.466006, acc: 0.812500] [adversarial loss: 1.092961, acc: 0.359375] 38634: [discriminator loss: 0.569524, acc: 0.703125] [adversarial loss: 1.878610, acc: 0.062500] 38635: [discriminator loss: 0.541326, acc: 0.695312] [adversarial loss: 0.986514, acc: 0.421875] 38636: [discriminator loss: 0.495522, acc: 0.757812] [adversarial loss: 2.040184, acc: 0.046875] 38637: [discriminator loss: 0.505768, acc: 0.695312] [adversarial loss: 1.033257, acc: 0.453125] 38638: [discriminator loss: 0.421692, acc: 0.828125] [adversarial loss: 1.301341, acc: 0.203125] 38639: [discriminator loss: 0.444468, acc: 0.765625] [adversarial loss: 1.048975, acc: 0.437500] 38640: [discriminator loss: 0.476534, acc: 0.765625] [adversarial loss: 1.272218, acc: 0.250000] 38641: [discriminator loss: 0.496166, acc: 0.804688] [adversarial loss: 1.177793, acc: 0.312500] 38642: [discriminator loss: 0.446597, acc: 0.773438] [adversarial loss: 0.942203, acc: 0.343750] 38643: [discriminator loss: 0.529191, acc: 0.742188] [adversarial loss: 1.896218, acc: 0.078125] 38644: [discriminator loss: 0.612814, acc: 0.640625] [adversarial loss: 0.794767, acc: 0.578125] 38645: [discriminator loss: 0.501448, acc: 0.765625] [adversarial loss: 1.404582, acc: 0.171875] 38646: [discriminator loss: 0.505777, acc: 0.757812] [adversarial loss: 1.162656, acc: 0.390625] 38647: [discriminator loss: 0.509351, acc: 0.726562] [adversarial loss: 1.474792, acc: 0.250000] 38648: [discriminator loss: 0.452361, acc: 0.750000] [adversarial loss: 0.808168, acc: 0.578125] 38649: [discriminator loss: 0.304796, acc: 0.906250] [adversarial loss: 1.057018, acc: 0.421875] 38650: [discriminator loss: 0.399282, acc: 0.796875] [adversarial loss: 1.188379, acc: 0.343750] 38651: [discriminator loss: 0.375248, acc: 0.835938] [adversarial loss: 0.935079, acc: 0.421875] 38652: [discriminator loss: 0.432741, acc: 0.765625] [adversarial loss: 1.104658, acc: 0.296875] 38653: [discriminator loss: 0.440019, acc: 0.757812] [adversarial loss: 0.899675, acc: 0.484375] 38654: [discriminator loss: 0.507322, acc: 0.734375] [adversarial loss: 1.719022, acc: 0.125000] 38655: [discriminator loss: 0.500189, acc: 0.742188] [adversarial loss: 1.128972, acc: 0.359375] 38656: [discriminator loss: 0.640525, acc: 0.632812] [adversarial loss: 1.784587, acc: 0.171875] 38657: [discriminator loss: 0.529188, acc: 0.718750] [adversarial loss: 1.018801, acc: 0.468750] 38658: [discriminator loss: 0.579665, acc: 0.679688] [adversarial loss: 1.695302, acc: 0.156250] 38659: [discriminator loss: 0.494464, acc: 0.703125] [adversarial loss: 1.275608, acc: 0.218750] 38660: [discriminator loss: 0.403179, acc: 0.812500] [adversarial loss: 1.106074, acc: 0.250000] 38661: [discriminator loss: 0.515303, acc: 0.726562] [adversarial loss: 1.281434, acc: 0.265625] 38662: [discriminator loss: 0.559257, acc: 0.648438] [adversarial loss: 1.507458, acc: 0.203125] 38663: [discriminator loss: 0.563061, acc: 0.734375] [adversarial loss: 1.778120, acc: 0.078125] 38664: [discriminator loss: 0.470284, acc: 0.796875] [adversarial loss: 1.338649, acc: 0.218750] 38665: [discriminator loss: 0.540353, acc: 0.695312] [adversarial loss: 1.586448, acc: 0.156250] 38666: [discriminator loss: 0.561650, acc: 0.687500] [adversarial loss: 0.946396, acc: 0.500000] 38667: [discriminator loss: 0.567376, acc: 0.765625] [adversarial loss: 2.018672, acc: 0.140625] 38668: [discriminator loss: 0.647731, acc: 0.609375] [adversarial loss: 0.746151, acc: 0.609375] 38669: [discriminator loss: 0.534959, acc: 0.750000] [adversarial loss: 1.416343, acc: 0.250000] 38670: [discriminator loss: 0.525465, acc: 0.718750] [adversarial loss: 1.108270, acc: 0.390625] 38671: [discriminator loss: 0.481270, acc: 0.750000] [adversarial loss: 1.217995, acc: 0.281250] 38672: [discriminator loss: 0.439546, acc: 0.835938] [adversarial loss: 1.250592, acc: 0.171875] 38673: [discriminator loss: 0.433155, acc: 0.789062] [adversarial loss: 1.553550, acc: 0.203125] 38674: [discriminator loss: 0.483849, acc: 0.789062] [adversarial loss: 1.520795, acc: 0.156250] 38675: [discriminator loss: 0.504810, acc: 0.687500] [adversarial loss: 1.186726, acc: 0.312500] 38676: [discriminator loss: 0.489168, acc: 0.757812] [adversarial loss: 1.655979, acc: 0.187500] 38677: [discriminator loss: 0.415762, acc: 0.812500] [adversarial loss: 1.223137, acc: 0.390625] 38678: [discriminator loss: 0.510030, acc: 0.742188] [adversarial loss: 1.606230, acc: 0.140625] 38679: [discriminator loss: 0.514674, acc: 0.718750] [adversarial loss: 1.691623, acc: 0.140625] 38680: [discriminator loss: 0.517098, acc: 0.718750] [adversarial loss: 1.117871, acc: 0.265625] 38681: [discriminator loss: 0.430882, acc: 0.843750] [adversarial loss: 1.554790, acc: 0.203125] 38682: [discriminator loss: 0.518113, acc: 0.710938] [adversarial loss: 1.258047, acc: 0.343750] 38683: [discriminator loss: 0.530033, acc: 0.726562] [adversarial loss: 1.530474, acc: 0.234375] 38684: [discriminator loss: 0.532912, acc: 0.742188] [adversarial loss: 1.040797, acc: 0.390625] 38685: [discriminator loss: 0.443535, acc: 0.812500] [adversarial loss: 1.762642, acc: 0.093750] 38686: [discriminator loss: 0.530096, acc: 0.757812] [adversarial loss: 0.942554, acc: 0.437500] 38687: [discriminator loss: 0.523561, acc: 0.789062] [adversarial loss: 1.482445, acc: 0.187500] 38688: [discriminator loss: 0.451253, acc: 0.796875] [adversarial loss: 1.133776, acc: 0.328125] 38689: [discriminator loss: 0.409316, acc: 0.812500] [adversarial loss: 1.515276, acc: 0.187500] 38690: [discriminator loss: 0.531562, acc: 0.695312] [adversarial loss: 1.251370, acc: 0.281250] 38691: [discriminator loss: 0.507523, acc: 0.734375] [adversarial loss: 1.678618, acc: 0.156250] 38692: [discriminator loss: 0.538181, acc: 0.726562] [adversarial loss: 1.521587, acc: 0.187500] 38693: [discriminator loss: 0.508712, acc: 0.703125] [adversarial loss: 1.083853, acc: 0.421875] 38694: [discriminator loss: 0.461888, acc: 0.773438] [adversarial loss: 1.375950, acc: 0.296875] 38695: [discriminator loss: 0.471730, acc: 0.820312] [adversarial loss: 1.308158, acc: 0.343750] 38696: [discriminator loss: 0.466278, acc: 0.789062] [adversarial loss: 1.647558, acc: 0.203125] 38697: [discriminator loss: 0.518498, acc: 0.734375] [adversarial loss: 1.154124, acc: 0.296875] 38698: [discriminator loss: 0.508110, acc: 0.773438] [adversarial loss: 1.664016, acc: 0.078125] 38699: [discriminator loss: 0.514929, acc: 0.734375] [adversarial loss: 1.109066, acc: 0.359375] 38700: [discriminator loss: 0.626556, acc: 0.664062] [adversarial loss: 2.161461, acc: 0.062500] 38701: [discriminator loss: 0.637037, acc: 0.671875] [adversarial loss: 0.965727, acc: 0.437500] 38702: [discriminator loss: 0.515677, acc: 0.781250] [adversarial loss: 1.427693, acc: 0.187500] 38703: [discriminator loss: 0.482142, acc: 0.773438] [adversarial loss: 1.339591, acc: 0.250000] 38704: [discriminator loss: 0.517635, acc: 0.742188] [adversarial loss: 1.281161, acc: 0.328125] 38705: [discriminator loss: 0.504614, acc: 0.734375] [adversarial loss: 1.336900, acc: 0.265625] 38706: [discriminator loss: 0.611088, acc: 0.625000] [adversarial loss: 1.322077, acc: 0.171875] 38707: [discriminator loss: 0.490215, acc: 0.734375] [adversarial loss: 1.225073, acc: 0.343750] 38708: [discriminator loss: 0.513946, acc: 0.789062] [adversarial loss: 1.515116, acc: 0.125000] 38709: [discriminator loss: 0.474834, acc: 0.757812] [adversarial loss: 1.330693, acc: 0.203125] 38710: [discriminator loss: 0.485127, acc: 0.765625] [adversarial loss: 1.457772, acc: 0.171875] 38711: [discriminator loss: 0.480710, acc: 0.765625] [adversarial loss: 1.181086, acc: 0.265625] 38712: [discriminator loss: 0.565273, acc: 0.710938] [adversarial loss: 1.467289, acc: 0.171875] 38713: [discriminator loss: 0.462757, acc: 0.804688] [adversarial loss: 1.192536, acc: 0.312500] 38714: [discriminator loss: 0.492302, acc: 0.734375] [adversarial loss: 1.664924, acc: 0.109375] 38715: [discriminator loss: 0.433428, acc: 0.812500] [adversarial loss: 1.286203, acc: 0.250000] 38716: [discriminator loss: 0.457546, acc: 0.773438] [adversarial loss: 1.453506, acc: 0.109375] 38717: [discriminator loss: 0.452949, acc: 0.757812] [adversarial loss: 1.175772, acc: 0.234375] 38718: [discriminator loss: 0.523703, acc: 0.742188] [adversarial loss: 1.835875, acc: 0.203125] 38719: [discriminator loss: 0.527340, acc: 0.726562] [adversarial loss: 1.079800, acc: 0.375000] 38720: [discriminator loss: 0.513090, acc: 0.750000] [adversarial loss: 1.632861, acc: 0.109375] 38721: [discriminator loss: 0.505781, acc: 0.765625] [adversarial loss: 1.271776, acc: 0.281250] 38722: [discriminator loss: 0.597047, acc: 0.710938] [adversarial loss: 1.642174, acc: 0.125000] 38723: [discriminator loss: 0.469935, acc: 0.773438] [adversarial loss: 1.011431, acc: 0.484375] 38724: [discriminator loss: 0.500996, acc: 0.750000] [adversarial loss: 1.429027, acc: 0.171875] 38725: [discriminator loss: 0.545966, acc: 0.703125] [adversarial loss: 1.659213, acc: 0.171875] 38726: [discriminator loss: 0.539800, acc: 0.718750] [adversarial loss: 1.175783, acc: 0.281250] 38727: [discriminator loss: 0.580442, acc: 0.703125] [adversarial loss: 1.383847, acc: 0.218750] 38728: [discriminator loss: 0.457312, acc: 0.773438] [adversarial loss: 0.910550, acc: 0.500000] 38729: [discriminator loss: 0.549159, acc: 0.750000] [adversarial loss: 2.084346, acc: 0.078125] 38730: [discriminator loss: 0.509208, acc: 0.742188] [adversarial loss: 0.822893, acc: 0.500000] 38731: [discriminator loss: 0.630522, acc: 0.656250] [adversarial loss: 1.810175, acc: 0.062500] 38732: [discriminator loss: 0.540624, acc: 0.718750] [adversarial loss: 1.009190, acc: 0.359375] 38733: [discriminator loss: 0.566447, acc: 0.710938] [adversarial loss: 1.178265, acc: 0.312500] 38734: [discriminator loss: 0.505402, acc: 0.750000] [adversarial loss: 1.354164, acc: 0.140625] 38735: [discriminator loss: 0.519830, acc: 0.734375] [adversarial loss: 1.578632, acc: 0.218750] 38736: [discriminator loss: 0.489226, acc: 0.734375] [adversarial loss: 1.096205, acc: 0.328125] 38737: [discriminator loss: 0.562042, acc: 0.726562] [adversarial loss: 1.923810, acc: 0.031250] 38738: [discriminator loss: 0.631630, acc: 0.687500] [adversarial loss: 1.082070, acc: 0.296875] 38739: [discriminator loss: 0.481027, acc: 0.718750] [adversarial loss: 1.366907, acc: 0.187500] 38740: [discriminator loss: 0.521429, acc: 0.773438] [adversarial loss: 1.028960, acc: 0.328125] 38741: [discriminator loss: 0.473482, acc: 0.750000] [adversarial loss: 1.391214, acc: 0.171875] 38742: [discriminator loss: 0.528235, acc: 0.757812] [adversarial loss: 1.334382, acc: 0.187500] 38743: [discriminator loss: 0.548272, acc: 0.671875] [adversarial loss: 1.174133, acc: 0.312500] 38744: [discriminator loss: 0.585525, acc: 0.671875] [adversarial loss: 1.537538, acc: 0.046875] 38745: [discriminator loss: 0.516381, acc: 0.726562] [adversarial loss: 1.337713, acc: 0.218750] 38746: [discriminator loss: 0.534702, acc: 0.742188] [adversarial loss: 1.374418, acc: 0.250000] 38747: [discriminator loss: 0.568155, acc: 0.703125] [adversarial loss: 1.123992, acc: 0.265625] 38748: [discriminator loss: 0.591351, acc: 0.664062] [adversarial loss: 1.742334, acc: 0.109375] 38749: [discriminator loss: 0.524394, acc: 0.703125] [adversarial loss: 1.089982, acc: 0.328125] 38750: [discriminator loss: 0.529504, acc: 0.718750] [adversarial loss: 1.366007, acc: 0.140625] 38751: [discriminator loss: 0.475010, acc: 0.765625] [adversarial loss: 1.662758, acc: 0.078125] 38752: [discriminator loss: 0.502544, acc: 0.757812] [adversarial loss: 1.113588, acc: 0.296875] 38753: [discriminator loss: 0.544477, acc: 0.710938] [adversarial loss: 1.396703, acc: 0.171875] 38754: [discriminator loss: 0.538575, acc: 0.695312] [adversarial loss: 0.878604, acc: 0.515625] 38755: [discriminator loss: 0.536326, acc: 0.726562] [adversarial loss: 1.553159, acc: 0.187500] 38756: [discriminator loss: 0.490955, acc: 0.789062] [adversarial loss: 1.112723, acc: 0.375000] 38757: [discriminator loss: 0.496680, acc: 0.742188] [adversarial loss: 1.737987, acc: 0.171875] 38758: [discriminator loss: 0.468678, acc: 0.765625] [adversarial loss: 1.258665, acc: 0.281250] 38759: [discriminator loss: 0.515660, acc: 0.757812] [adversarial loss: 1.631775, acc: 0.156250] 38760: [discriminator loss: 0.451818, acc: 0.773438] [adversarial loss: 1.399110, acc: 0.218750] 38761: [discriminator loss: 0.524804, acc: 0.718750] [adversarial loss: 1.358339, acc: 0.156250] 38762: [discriminator loss: 0.533672, acc: 0.742188] [adversarial loss: 1.391333, acc: 0.187500] 38763: [discriminator loss: 0.468341, acc: 0.710938] [adversarial loss: 1.166178, acc: 0.250000] 38764: [discriminator loss: 0.531192, acc: 0.718750] [adversarial loss: 1.471269, acc: 0.109375] 38765: [discriminator loss: 0.513150, acc: 0.718750] [adversarial loss: 1.040372, acc: 0.359375] 38766: [discriminator loss: 0.522269, acc: 0.718750] [adversarial loss: 1.970152, acc: 0.125000] 38767: [discriminator loss: 0.503527, acc: 0.781250] [adversarial loss: 1.042838, acc: 0.343750] 38768: [discriminator loss: 0.631402, acc: 0.703125] [adversarial loss: 1.493594, acc: 0.265625] 38769: [discriminator loss: 0.505118, acc: 0.765625] [adversarial loss: 1.006969, acc: 0.421875] 38770: [discriminator loss: 0.434477, acc: 0.804688] [adversarial loss: 1.816531, acc: 0.062500] 38771: [discriminator loss: 0.489974, acc: 0.710938] [adversarial loss: 1.048104, acc: 0.390625] 38772: [discriminator loss: 0.525086, acc: 0.742188] [adversarial loss: 1.739531, acc: 0.109375] 38773: [discriminator loss: 0.507920, acc: 0.742188] [adversarial loss: 1.213514, acc: 0.296875] 38774: [discriminator loss: 0.468777, acc: 0.820312] [adversarial loss: 1.485312, acc: 0.218750] 38775: [discriminator loss: 0.508118, acc: 0.765625] [adversarial loss: 1.198457, acc: 0.296875] 38776: [discriminator loss: 0.540782, acc: 0.703125] [adversarial loss: 1.569558, acc: 0.093750] 38777: [discriminator loss: 0.504391, acc: 0.726562] [adversarial loss: 1.298710, acc: 0.328125] 38778: [discriminator loss: 0.494169, acc: 0.726562] [adversarial loss: 1.222700, acc: 0.234375] 38779: [discriminator loss: 0.478436, acc: 0.789062] [adversarial loss: 1.444896, acc: 0.281250] 38780: [discriminator loss: 0.548813, acc: 0.789062] [adversarial loss: 1.412883, acc: 0.156250] 38781: [discriminator loss: 0.515760, acc: 0.718750] [adversarial loss: 0.961883, acc: 0.421875] 38782: [discriminator loss: 0.582577, acc: 0.687500] [adversarial loss: 1.864019, acc: 0.078125] 38783: [discriminator loss: 0.525355, acc: 0.734375] [adversarial loss: 1.035035, acc: 0.250000] 38784: [discriminator loss: 0.480907, acc: 0.765625] [adversarial loss: 1.643456, acc: 0.109375] 38785: [discriminator loss: 0.538271, acc: 0.710938] [adversarial loss: 0.897598, acc: 0.500000] 38786: [discriminator loss: 0.599725, acc: 0.703125] [adversarial loss: 1.659406, acc: 0.093750] 38787: [discriminator loss: 0.500826, acc: 0.757812] [adversarial loss: 0.864899, acc: 0.421875] 38788: [discriminator loss: 0.548484, acc: 0.710938] [adversarial loss: 1.736401, acc: 0.093750] 38789: [discriminator loss: 0.494180, acc: 0.742188] [adversarial loss: 1.123422, acc: 0.390625] 38790: [discriminator loss: 0.503754, acc: 0.734375] [adversarial loss: 1.848268, acc: 0.125000] 38791: [discriminator loss: 0.529387, acc: 0.695312] [adversarial loss: 1.191713, acc: 0.312500] 38792: [discriminator loss: 0.470303, acc: 0.789062] [adversarial loss: 1.037789, acc: 0.343750] 38793: [discriminator loss: 0.535892, acc: 0.750000] [adversarial loss: 1.476146, acc: 0.234375] 38794: [discriminator loss: 0.570381, acc: 0.695312] [adversarial loss: 1.208805, acc: 0.281250] 38795: [discriminator loss: 0.521339, acc: 0.773438] [adversarial loss: 1.847944, acc: 0.109375] 38796: [discriminator loss: 0.568295, acc: 0.687500] [adversarial loss: 1.240165, acc: 0.250000] 38797: [discriminator loss: 0.509020, acc: 0.710938] [adversarial loss: 1.380942, acc: 0.187500] 38798: [discriminator loss: 0.551952, acc: 0.703125] [adversarial loss: 1.270954, acc: 0.234375] 38799: [discriminator loss: 0.469404, acc: 0.765625] [adversarial loss: 1.617247, acc: 0.125000] 38800: [discriminator loss: 0.560131, acc: 0.656250] [adversarial loss: 1.014459, acc: 0.390625] 38801: [discriminator loss: 0.568514, acc: 0.664062] [adversarial loss: 1.457116, acc: 0.187500] 38802: [discriminator loss: 0.506835, acc: 0.710938] [adversarial loss: 1.006357, acc: 0.406250] 38803: [discriminator loss: 0.486857, acc: 0.812500] [adversarial loss: 1.669139, acc: 0.093750] 38804: [discriminator loss: 0.577900, acc: 0.679688] [adversarial loss: 0.829033, acc: 0.468750] 38805: [discriminator loss: 0.574935, acc: 0.687500] [adversarial loss: 1.719178, acc: 0.156250] 38806: [discriminator loss: 0.549282, acc: 0.687500] [adversarial loss: 1.365519, acc: 0.171875] 38807: [discriminator loss: 0.515245, acc: 0.804688] [adversarial loss: 1.639362, acc: 0.140625] 38808: [discriminator loss: 0.539011, acc: 0.695312] [adversarial loss: 1.207472, acc: 0.234375] 38809: [discriminator loss: 0.498129, acc: 0.750000] [adversarial loss: 1.221537, acc: 0.296875] 38810: [discriminator loss: 0.498197, acc: 0.734375] [adversarial loss: 1.239538, acc: 0.281250] 38811: [discriminator loss: 0.547916, acc: 0.742188] [adversarial loss: 1.124022, acc: 0.296875] 38812: [discriminator loss: 0.507953, acc: 0.734375] [adversarial loss: 1.395861, acc: 0.203125] 38813: [discriminator loss: 0.462651, acc: 0.757812] [adversarial loss: 1.204669, acc: 0.296875] 38814: [discriminator loss: 0.566508, acc: 0.695312] [adversarial loss: 1.233187, acc: 0.187500] 38815: [discriminator loss: 0.501854, acc: 0.757812] [adversarial loss: 1.646453, acc: 0.109375] 38816: [discriminator loss: 0.493300, acc: 0.773438] [adversarial loss: 0.958573, acc: 0.421875] 38817: [discriminator loss: 0.528384, acc: 0.703125] [adversarial loss: 1.384547, acc: 0.250000] 38818: [discriminator loss: 0.432341, acc: 0.796875] [adversarial loss: 1.116930, acc: 0.390625] 38819: [discriminator loss: 0.523450, acc: 0.742188] [adversarial loss: 1.430683, acc: 0.187500] 38820: [discriminator loss: 0.563877, acc: 0.726562] [adversarial loss: 0.913869, acc: 0.406250] 38821: [discriminator loss: 0.579425, acc: 0.687500] [adversarial loss: 1.877265, acc: 0.046875] 38822: [discriminator loss: 0.488702, acc: 0.757812] [adversarial loss: 0.897326, acc: 0.406250] 38823: [discriminator loss: 0.504129, acc: 0.750000] [adversarial loss: 1.649006, acc: 0.156250] 38824: [discriminator loss: 0.557954, acc: 0.718750] [adversarial loss: 1.071079, acc: 0.312500] 38825: [discriminator loss: 0.519384, acc: 0.726562] [adversarial loss: 1.349253, acc: 0.234375] 38826: [discriminator loss: 0.484577, acc: 0.765625] [adversarial loss: 1.664054, acc: 0.078125] 38827: [discriminator loss: 0.524910, acc: 0.726562] [adversarial loss: 1.081274, acc: 0.468750] 38828: [discriminator loss: 0.482501, acc: 0.750000] [adversarial loss: 1.740620, acc: 0.171875] 38829: [discriminator loss: 0.431841, acc: 0.781250] [adversarial loss: 1.211038, acc: 0.234375] 38830: [discriminator loss: 0.445064, acc: 0.781250] [adversarial loss: 1.166978, acc: 0.281250] 38831: [discriminator loss: 0.458783, acc: 0.789062] [adversarial loss: 1.598749, acc: 0.203125] 38832: [discriminator loss: 0.458893, acc: 0.773438] [adversarial loss: 1.199778, acc: 0.328125] 38833: [discriminator loss: 0.484565, acc: 0.765625] [adversarial loss: 1.524279, acc: 0.250000] 38834: [discriminator loss: 0.456440, acc: 0.773438] [adversarial loss: 1.044944, acc: 0.343750] 38835: [discriminator loss: 0.528967, acc: 0.718750] [adversarial loss: 1.798571, acc: 0.093750] 38836: [discriminator loss: 0.559122, acc: 0.757812] [adversarial loss: 1.112014, acc: 0.265625] 38837: [discriminator loss: 0.581560, acc: 0.679688] [adversarial loss: 1.801857, acc: 0.156250] 38838: [discriminator loss: 0.533118, acc: 0.734375] [adversarial loss: 1.021584, acc: 0.359375] 38839: [discriminator loss: 0.542285, acc: 0.703125] [adversarial loss: 1.753908, acc: 0.093750] 38840: [discriminator loss: 0.512015, acc: 0.757812] [adversarial loss: 0.977338, acc: 0.421875] 38841: [discriminator loss: 0.507413, acc: 0.750000] [adversarial loss: 1.583188, acc: 0.218750] 38842: [discriminator loss: 0.529732, acc: 0.671875] [adversarial loss: 0.928607, acc: 0.500000] 38843: [discriminator loss: 0.533941, acc: 0.742188] [adversarial loss: 1.460701, acc: 0.140625] 38844: [discriminator loss: 0.562685, acc: 0.687500] [adversarial loss: 1.043089, acc: 0.328125] 38845: [discriminator loss: 0.489930, acc: 0.757812] [adversarial loss: 1.531022, acc: 0.125000] 38846: [discriminator loss: 0.533129, acc: 0.726562] [adversarial loss: 1.103039, acc: 0.265625] 38847: [discriminator loss: 0.512740, acc: 0.742188] [adversarial loss: 1.482397, acc: 0.203125] 38848: [discriminator loss: 0.545209, acc: 0.703125] [adversarial loss: 1.196935, acc: 0.328125] 38849: [discriminator loss: 0.455564, acc: 0.765625] [adversarial loss: 1.322306, acc: 0.218750] 38850: [discriminator loss: 0.499934, acc: 0.726562] [adversarial loss: 0.989594, acc: 0.453125] 38851: [discriminator loss: 0.562851, acc: 0.703125] [adversarial loss: 1.445479, acc: 0.140625] 38852: [discriminator loss: 0.506324, acc: 0.734375] [adversarial loss: 1.081867, acc: 0.296875] 38853: [discriminator loss: 0.494763, acc: 0.726562] [adversarial loss: 1.407285, acc: 0.203125] 38854: [discriminator loss: 0.537009, acc: 0.695312] [adversarial loss: 0.985748, acc: 0.406250] 38855: [discriminator loss: 0.556510, acc: 0.734375] [adversarial loss: 2.107063, acc: 0.031250] 38856: [discriminator loss: 0.548574, acc: 0.718750] [adversarial loss: 0.864392, acc: 0.359375] 38857: [discriminator loss: 0.525954, acc: 0.765625] [adversarial loss: 1.952430, acc: 0.031250] 38858: [discriminator loss: 0.577101, acc: 0.703125] [adversarial loss: 1.047736, acc: 0.328125] 38859: [discriminator loss: 0.491951, acc: 0.773438] [adversarial loss: 1.309848, acc: 0.265625] 38860: [discriminator loss: 0.522742, acc: 0.765625] [adversarial loss: 1.128015, acc: 0.484375] 38861: [discriminator loss: 0.454870, acc: 0.812500] [adversarial loss: 1.204443, acc: 0.312500] 38862: [discriminator loss: 0.491503, acc: 0.726562] [adversarial loss: 1.392118, acc: 0.218750] 38863: [discriminator loss: 0.544363, acc: 0.750000] [adversarial loss: 1.272056, acc: 0.281250] 38864: [discriminator loss: 0.494557, acc: 0.734375] [adversarial loss: 1.276019, acc: 0.343750] 38865: [discriminator loss: 0.392810, acc: 0.835938] [adversarial loss: 1.205065, acc: 0.312500] 38866: [discriminator loss: 0.487883, acc: 0.765625] [adversarial loss: 1.255802, acc: 0.250000] 38867: [discriminator loss: 0.493933, acc: 0.734375] [adversarial loss: 1.387134, acc: 0.234375] 38868: [discriminator loss: 0.436036, acc: 0.773438] [adversarial loss: 1.489159, acc: 0.156250] 38869: [discriminator loss: 0.516063, acc: 0.703125] [adversarial loss: 0.940759, acc: 0.437500] 38870: [discriminator loss: 0.571130, acc: 0.648438] [adversarial loss: 1.744847, acc: 0.109375] 38871: [discriminator loss: 0.545245, acc: 0.710938] [adversarial loss: 0.940984, acc: 0.437500] 38872: [discriminator loss: 0.561281, acc: 0.718750] [adversarial loss: 1.657236, acc: 0.218750] 38873: [discriminator loss: 0.522372, acc: 0.734375] [adversarial loss: 1.095971, acc: 0.359375] 38874: [discriminator loss: 0.602159, acc: 0.734375] [adversarial loss: 1.768149, acc: 0.093750] 38875: [discriminator loss: 0.496740, acc: 0.726562] [adversarial loss: 0.846288, acc: 0.515625] 38876: [discriminator loss: 0.574728, acc: 0.726562] [adversarial loss: 1.710896, acc: 0.093750] 38877: [discriminator loss: 0.524829, acc: 0.695312] [adversarial loss: 1.168756, acc: 0.359375] 38878: [discriminator loss: 0.578264, acc: 0.695312] [adversarial loss: 1.167576, acc: 0.328125] 38879: [discriminator loss: 0.538356, acc: 0.750000] [adversarial loss: 1.221074, acc: 0.343750] 38880: [discriminator loss: 0.460381, acc: 0.757812] [adversarial loss: 1.528397, acc: 0.156250] 38881: [discriminator loss: 0.426706, acc: 0.812500] [adversarial loss: 1.632701, acc: 0.203125] 38882: [discriminator loss: 0.478784, acc: 0.742188] [adversarial loss: 1.480615, acc: 0.140625] 38883: [discriminator loss: 0.608546, acc: 0.695312] [adversarial loss: 0.932598, acc: 0.468750] 38884: [discriminator loss: 0.573902, acc: 0.703125] [adversarial loss: 1.653704, acc: 0.093750] 38885: [discriminator loss: 0.627483, acc: 0.648438] [adversarial loss: 1.096209, acc: 0.390625] 38886: [discriminator loss: 0.463602, acc: 0.773438] [adversarial loss: 1.408996, acc: 0.281250] 38887: [discriminator loss: 0.524181, acc: 0.718750] [adversarial loss: 1.479241, acc: 0.218750] 38888: [discriminator loss: 0.460763, acc: 0.812500] [adversarial loss: 1.339943, acc: 0.281250] 38889: [discriminator loss: 0.539756, acc: 0.703125] [adversarial loss: 1.504453, acc: 0.234375] 38890: [discriminator loss: 0.431756, acc: 0.796875] [adversarial loss: 1.645849, acc: 0.125000] 38891: [discriminator loss: 0.465579, acc: 0.804688] [adversarial loss: 1.208158, acc: 0.281250] 38892: [discriminator loss: 0.508977, acc: 0.804688] [adversarial loss: 1.513889, acc: 0.171875] 38893: [discriminator loss: 0.450008, acc: 0.796875] [adversarial loss: 1.355982, acc: 0.265625] 38894: [discriminator loss: 0.559379, acc: 0.726562] [adversarial loss: 1.486543, acc: 0.187500] 38895: [discriminator loss: 0.625358, acc: 0.656250] [adversarial loss: 1.016041, acc: 0.406250] 38896: [discriminator loss: 0.493556, acc: 0.734375] [adversarial loss: 1.829806, acc: 0.046875] 38897: [discriminator loss: 0.601921, acc: 0.679688] [adversarial loss: 1.272874, acc: 0.265625] 38898: [discriminator loss: 0.506213, acc: 0.781250] [adversarial loss: 1.265217, acc: 0.281250] 38899: [discriminator loss: 0.497473, acc: 0.718750] [adversarial loss: 1.415082, acc: 0.234375] 38900: [discriminator loss: 0.449279, acc: 0.765625] [adversarial loss: 1.269861, acc: 0.250000] 38901: [discriminator loss: 0.492559, acc: 0.750000] [adversarial loss: 1.230354, acc: 0.312500] 38902: [discriminator loss: 0.493956, acc: 0.757812] [adversarial loss: 1.588459, acc: 0.109375] 38903: [discriminator loss: 0.521544, acc: 0.742188] [adversarial loss: 0.749411, acc: 0.562500] 38904: [discriminator loss: 0.455800, acc: 0.789062] [adversarial loss: 1.586608, acc: 0.218750] 38905: [discriminator loss: 0.499999, acc: 0.742188] [adversarial loss: 0.937415, acc: 0.375000] 38906: [discriminator loss: 0.594799, acc: 0.718750] [adversarial loss: 1.677961, acc: 0.078125] 38907: [discriminator loss: 0.512595, acc: 0.718750] [adversarial loss: 1.268740, acc: 0.250000] 38908: [discriminator loss: 0.527071, acc: 0.750000] [adversarial loss: 1.173883, acc: 0.250000] 38909: [discriminator loss: 0.463669, acc: 0.734375] [adversarial loss: 1.326780, acc: 0.187500] 38910: [discriminator loss: 0.471142, acc: 0.796875] [adversarial loss: 1.556193, acc: 0.187500] 38911: [discriminator loss: 0.472114, acc: 0.781250] [adversarial loss: 1.293522, acc: 0.281250] 38912: [discriminator loss: 0.591027, acc: 0.671875] [adversarial loss: 1.653872, acc: 0.109375] 38913: [discriminator loss: 0.510477, acc: 0.734375] [adversarial loss: 1.346147, acc: 0.281250] 38914: [discriminator loss: 0.478378, acc: 0.757812] [adversarial loss: 1.698868, acc: 0.093750] 38915: [discriminator loss: 0.502906, acc: 0.703125] [adversarial loss: 1.131002, acc: 0.296875] 38916: [discriminator loss: 0.430592, acc: 0.789062] [adversarial loss: 1.515428, acc: 0.171875] 38917: [discriminator loss: 0.518487, acc: 0.695312] [adversarial loss: 1.011619, acc: 0.343750] 38918: [discriminator loss: 0.591784, acc: 0.664062] [adversarial loss: 1.638833, acc: 0.156250] 38919: [discriminator loss: 0.562836, acc: 0.726562] [adversarial loss: 1.171875, acc: 0.359375] 38920: [discriminator loss: 0.504271, acc: 0.734375] [adversarial loss: 1.764176, acc: 0.093750] 38921: [discriminator loss: 0.602422, acc: 0.656250] [adversarial loss: 0.951470, acc: 0.390625] 38922: [discriminator loss: 0.519174, acc: 0.742188] [adversarial loss: 1.590065, acc: 0.125000] 38923: [discriminator loss: 0.506643, acc: 0.710938] [adversarial loss: 1.093678, acc: 0.406250] 38924: [discriminator loss: 0.408841, acc: 0.843750] [adversarial loss: 1.701339, acc: 0.125000] 38925: [discriminator loss: 0.561728, acc: 0.671875] [adversarial loss: 0.974101, acc: 0.437500] 38926: [discriminator loss: 0.503414, acc: 0.750000] [adversarial loss: 1.924024, acc: 0.109375] 38927: [discriminator loss: 0.512193, acc: 0.734375] [adversarial loss: 1.036578, acc: 0.390625] 38928: [discriminator loss: 0.522981, acc: 0.742188] [adversarial loss: 1.838069, acc: 0.046875] 38929: [discriminator loss: 0.489849, acc: 0.750000] [adversarial loss: 1.127914, acc: 0.390625] 38930: [discriminator loss: 0.444363, acc: 0.812500] [adversarial loss: 1.350851, acc: 0.218750] 38931: [discriminator loss: 0.523968, acc: 0.742188] [adversarial loss: 1.347059, acc: 0.203125] 38932: [discriminator loss: 0.521152, acc: 0.742188] [adversarial loss: 1.344971, acc: 0.250000] 38933: [discriminator loss: 0.545749, acc: 0.687500] [adversarial loss: 1.032451, acc: 0.343750] 38934: [discriminator loss: 0.606129, acc: 0.679688] [adversarial loss: 1.981889, acc: 0.046875] 38935: [discriminator loss: 0.571424, acc: 0.648438] [adversarial loss: 0.938177, acc: 0.406250] 38936: [discriminator loss: 0.450712, acc: 0.789062] [adversarial loss: 1.504691, acc: 0.078125] 38937: [discriminator loss: 0.490166, acc: 0.750000] [adversarial loss: 1.144994, acc: 0.296875] 38938: [discriminator loss: 0.446017, acc: 0.835938] [adversarial loss: 1.589029, acc: 0.218750] 38939: [discriminator loss: 0.448255, acc: 0.781250] [adversarial loss: 1.202569, acc: 0.296875] 38940: [discriminator loss: 0.454438, acc: 0.789062] [adversarial loss: 1.384917, acc: 0.187500] 38941: [discriminator loss: 0.440450, acc: 0.789062] [adversarial loss: 1.404600, acc: 0.265625] 38942: [discriminator loss: 0.571567, acc: 0.703125] [adversarial loss: 1.696971, acc: 0.156250] 38943: [discriminator loss: 0.576234, acc: 0.679688] [adversarial loss: 0.993178, acc: 0.421875] 38944: [discriminator loss: 0.584814, acc: 0.703125] [adversarial loss: 1.580445, acc: 0.109375] 38945: [discriminator loss: 0.535096, acc: 0.703125] [adversarial loss: 0.782005, acc: 0.562500] 38946: [discriminator loss: 0.620460, acc: 0.671875] [adversarial loss: 1.577732, acc: 0.203125] 38947: [discriminator loss: 0.430309, acc: 0.828125] [adversarial loss: 1.350704, acc: 0.187500] 38948: [discriminator loss: 0.527438, acc: 0.750000] [adversarial loss: 1.362815, acc: 0.296875] 38949: [discriminator loss: 0.527634, acc: 0.718750] [adversarial loss: 1.508528, acc: 0.203125] 38950: [discriminator loss: 0.451283, acc: 0.789062] [adversarial loss: 1.584510, acc: 0.203125] 38951: [discriminator loss: 0.492800, acc: 0.757812] [adversarial loss: 1.670499, acc: 0.109375] 38952: [discriminator loss: 0.445921, acc: 0.765625] [adversarial loss: 1.289511, acc: 0.250000] 38953: [discriminator loss: 0.530927, acc: 0.742188] [adversarial loss: 1.707406, acc: 0.203125] 38954: [discriminator loss: 0.465131, acc: 0.757812] [adversarial loss: 1.069336, acc: 0.421875] 38955: [discriminator loss: 0.446995, acc: 0.851562] [adversarial loss: 1.915847, acc: 0.093750] 38956: [discriminator loss: 0.498123, acc: 0.742188] [adversarial loss: 0.885578, acc: 0.515625] 38957: [discriminator loss: 0.514315, acc: 0.742188] [adversarial loss: 1.993004, acc: 0.078125] 38958: [discriminator loss: 0.653386, acc: 0.609375] [adversarial loss: 0.877114, acc: 0.609375] 38959: [discriminator loss: 0.536757, acc: 0.773438] [adversarial loss: 1.580387, acc: 0.203125] 38960: [discriminator loss: 0.457123, acc: 0.757812] [adversarial loss: 1.554791, acc: 0.171875] 38961: [discriminator loss: 0.501959, acc: 0.742188] [adversarial loss: 1.285678, acc: 0.281250] 38962: [discriminator loss: 0.501574, acc: 0.742188] [adversarial loss: 1.189623, acc: 0.281250] 38963: [discriminator loss: 0.468215, acc: 0.765625] [adversarial loss: 1.268511, acc: 0.281250] 38964: [discriminator loss: 0.471105, acc: 0.781250] [adversarial loss: 1.118935, acc: 0.375000] 38965: [discriminator loss: 0.485550, acc: 0.742188] [adversarial loss: 1.375802, acc: 0.218750] 38966: [discriminator loss: 0.419079, acc: 0.796875] [adversarial loss: 1.402185, acc: 0.156250] 38967: [discriminator loss: 0.499508, acc: 0.804688] [adversarial loss: 1.486440, acc: 0.234375] 38968: [discriminator loss: 0.508134, acc: 0.742188] [adversarial loss: 1.259522, acc: 0.281250] 38969: [discriminator loss: 0.574054, acc: 0.726562] [adversarial loss: 1.512335, acc: 0.250000] 38970: [discriminator loss: 0.497721, acc: 0.789062] [adversarial loss: 1.374021, acc: 0.265625] 38971: [discriminator loss: 0.570632, acc: 0.710938] [adversarial loss: 1.365921, acc: 0.250000] 38972: [discriminator loss: 0.583164, acc: 0.648438] [adversarial loss: 1.084540, acc: 0.312500] 38973: [discriminator loss: 0.508802, acc: 0.757812] [adversarial loss: 1.349854, acc: 0.250000] 38974: [discriminator loss: 0.505147, acc: 0.742188] [adversarial loss: 1.112510, acc: 0.375000] 38975: [discriminator loss: 0.466508, acc: 0.773438] [adversarial loss: 1.397604, acc: 0.156250] 38976: [discriminator loss: 0.513306, acc: 0.757812] [adversarial loss: 1.000358, acc: 0.406250] 38977: [discriminator loss: 0.542526, acc: 0.750000] [adversarial loss: 1.795788, acc: 0.140625] 38978: [discriminator loss: 0.509253, acc: 0.742188] [adversarial loss: 1.040046, acc: 0.406250] 38979: [discriminator loss: 0.513667, acc: 0.742188] [adversarial loss: 1.425054, acc: 0.218750] 38980: [discriminator loss: 0.475374, acc: 0.789062] [adversarial loss: 1.068806, acc: 0.328125] 38981: [discriminator loss: 0.511533, acc: 0.750000] [adversarial loss: 1.397164, acc: 0.187500] 38982: [discriminator loss: 0.588169, acc: 0.718750] [adversarial loss: 1.110241, acc: 0.437500] 38983: [discriminator loss: 0.468829, acc: 0.781250] [adversarial loss: 1.447964, acc: 0.281250] 38984: [discriminator loss: 0.533053, acc: 0.726562] [adversarial loss: 1.148313, acc: 0.343750] 38985: [discriminator loss: 0.507318, acc: 0.781250] [adversarial loss: 1.596227, acc: 0.125000] 38986: [discriminator loss: 0.538274, acc: 0.695312] [adversarial loss: 0.777797, acc: 0.578125] 38987: [discriminator loss: 0.596359, acc: 0.679688] [adversarial loss: 1.919582, acc: 0.031250] 38988: [discriminator loss: 0.551480, acc: 0.671875] [adversarial loss: 0.891547, acc: 0.484375] 38989: [discriminator loss: 0.565918, acc: 0.695312] [adversarial loss: 1.644734, acc: 0.125000] 38990: [discriminator loss: 0.421143, acc: 0.789062] [adversarial loss: 1.287396, acc: 0.187500] 38991: [discriminator loss: 0.483790, acc: 0.765625] [adversarial loss: 1.406582, acc: 0.281250] 38992: [discriminator loss: 0.497315, acc: 0.765625] [adversarial loss: 1.576335, acc: 0.156250] 38993: [discriminator loss: 0.463219, acc: 0.742188] [adversarial loss: 1.314328, acc: 0.265625] 38994: [discriminator loss: 0.478149, acc: 0.789062] [adversarial loss: 1.231257, acc: 0.218750] 38995: [discriminator loss: 0.523935, acc: 0.710938] [adversarial loss: 1.180516, acc: 0.281250] 38996: [discriminator loss: 0.559816, acc: 0.695312] [adversarial loss: 1.513896, acc: 0.187500] 38997: [discriminator loss: 0.417217, acc: 0.835938] [adversarial loss: 1.360633, acc: 0.218750] 38998: [discriminator loss: 0.536120, acc: 0.718750] [adversarial loss: 1.241185, acc: 0.328125] 38999: [discriminator loss: 0.481676, acc: 0.781250] [adversarial loss: 1.272992, acc: 0.234375] 39000: [discriminator loss: 0.508683, acc: 0.765625] [adversarial loss: 1.487510, acc: 0.109375] 39001: [discriminator loss: 0.488983, acc: 0.734375] [adversarial loss: 1.151907, acc: 0.328125] 39002: [discriminator loss: 0.481206, acc: 0.773438] [adversarial loss: 1.762762, acc: 0.109375] 39003: [discriminator loss: 0.532076, acc: 0.726562] [adversarial loss: 1.224833, acc: 0.234375] 39004: [discriminator loss: 0.463418, acc: 0.773438] [adversarial loss: 1.662150, acc: 0.171875] 39005: [discriminator loss: 0.451247, acc: 0.781250] [adversarial loss: 0.997514, acc: 0.437500] 39006: [discriminator loss: 0.618407, acc: 0.664062] [adversarial loss: 1.950401, acc: 0.140625] 39007: [discriminator loss: 0.518901, acc: 0.734375] [adversarial loss: 1.042998, acc: 0.390625] 39008: [discriminator loss: 0.523537, acc: 0.750000] [adversarial loss: 1.483801, acc: 0.203125] 39009: [discriminator loss: 0.524658, acc: 0.742188] [adversarial loss: 1.202376, acc: 0.312500] 39010: [discriminator loss: 0.553154, acc: 0.726562] [adversarial loss: 1.380693, acc: 0.265625] 39011: [discriminator loss: 0.530006, acc: 0.742188] [adversarial loss: 1.124739, acc: 0.312500] 39012: [discriminator loss: 0.555964, acc: 0.703125] [adversarial loss: 1.229390, acc: 0.265625] 39013: [discriminator loss: 0.470741, acc: 0.781250] [adversarial loss: 1.521707, acc: 0.171875] 39014: [discriminator loss: 0.477457, acc: 0.757812] [adversarial loss: 1.071662, acc: 0.406250] 39015: [discriminator loss: 0.614993, acc: 0.656250] [adversarial loss: 1.512962, acc: 0.171875] 39016: [discriminator loss: 0.504610, acc: 0.718750] [adversarial loss: 1.274249, acc: 0.265625] 39017: [discriminator loss: 0.470565, acc: 0.789062] [adversarial loss: 1.316035, acc: 0.218750] 39018: [discriminator loss: 0.549640, acc: 0.742188] [adversarial loss: 1.576351, acc: 0.125000] 39019: [discriminator loss: 0.483980, acc: 0.757812] [adversarial loss: 1.050077, acc: 0.296875] 39020: [discriminator loss: 0.601341, acc: 0.648438] [adversarial loss: 1.370553, acc: 0.218750] 39021: [discriminator loss: 0.470963, acc: 0.757812] [adversarial loss: 1.151402, acc: 0.359375] 39022: [discriminator loss: 0.497043, acc: 0.734375] [adversarial loss: 1.541840, acc: 0.187500] 39023: [discriminator loss: 0.581232, acc: 0.703125] [adversarial loss: 0.955008, acc: 0.421875] 39024: [discriminator loss: 0.514940, acc: 0.726562] [adversarial loss: 1.187550, acc: 0.312500] 39025: [discriminator loss: 0.485470, acc: 0.757812] [adversarial loss: 1.219442, acc: 0.281250] 39026: [discriminator loss: 0.527887, acc: 0.726562] [adversarial loss: 1.431503, acc: 0.187500] 39027: [discriminator loss: 0.413511, acc: 0.828125] [adversarial loss: 1.119414, acc: 0.375000] 39028: [discriminator loss: 0.488406, acc: 0.718750] [adversarial loss: 1.985403, acc: 0.109375] 39029: [discriminator loss: 0.608551, acc: 0.656250] [adversarial loss: 0.792703, acc: 0.515625] 39030: [discriminator loss: 0.500349, acc: 0.789062] [adversarial loss: 1.548363, acc: 0.203125] 39031: [discriminator loss: 0.578585, acc: 0.664062] [adversarial loss: 0.832398, acc: 0.421875] 39032: [discriminator loss: 0.496345, acc: 0.734375] [adversarial loss: 1.675349, acc: 0.093750] 39033: [discriminator loss: 0.506820, acc: 0.765625] [adversarial loss: 1.113443, acc: 0.375000] 39034: [discriminator loss: 0.466736, acc: 0.757812] [adversarial loss: 1.387611, acc: 0.265625] 39035: [discriminator loss: 0.447412, acc: 0.796875] [adversarial loss: 1.416449, acc: 0.281250] 39036: [discriminator loss: 0.505637, acc: 0.750000] [adversarial loss: 1.421031, acc: 0.234375] 39037: [discriminator loss: 0.469215, acc: 0.765625] [adversarial loss: 1.108330, acc: 0.281250] 39038: [discriminator loss: 0.586639, acc: 0.648438] [adversarial loss: 1.866115, acc: 0.109375] 39039: [discriminator loss: 0.588397, acc: 0.671875] [adversarial loss: 0.931648, acc: 0.437500] 39040: [discriminator loss: 0.610924, acc: 0.671875] [adversarial loss: 1.673230, acc: 0.125000] 39041: [discriminator loss: 0.504616, acc: 0.742188] [adversarial loss: 1.161844, acc: 0.343750] 39042: [discriminator loss: 0.538357, acc: 0.703125] [adversarial loss: 1.440701, acc: 0.203125] 39043: [discriminator loss: 0.526822, acc: 0.726562] [adversarial loss: 1.164889, acc: 0.421875] 39044: [discriminator loss: 0.504812, acc: 0.742188] [adversarial loss: 1.488269, acc: 0.156250] 39045: [discriminator loss: 0.543523, acc: 0.710938] [adversarial loss: 1.220732, acc: 0.296875] 39046: [discriminator loss: 0.505694, acc: 0.742188] [adversarial loss: 1.712946, acc: 0.140625] 39047: [discriminator loss: 0.498817, acc: 0.781250] [adversarial loss: 1.443556, acc: 0.296875] 39048: [discriminator loss: 0.555479, acc: 0.703125] [adversarial loss: 1.398416, acc: 0.187500] 39049: [discriminator loss: 0.503907, acc: 0.789062] [adversarial loss: 1.252962, acc: 0.250000] 39050: [discriminator loss: 0.528696, acc: 0.687500] [adversarial loss: 1.272929, acc: 0.312500] 39051: [discriminator loss: 0.496800, acc: 0.742188] [adversarial loss: 1.462460, acc: 0.187500] 39052: [discriminator loss: 0.496907, acc: 0.718750] [adversarial loss: 1.226416, acc: 0.250000] 39053: [discriminator loss: 0.540973, acc: 0.726562] [adversarial loss: 1.416120, acc: 0.234375] 39054: [discriminator loss: 0.544531, acc: 0.734375] [adversarial loss: 1.433765, acc: 0.281250] 39055: [discriminator loss: 0.522554, acc: 0.718750] [adversarial loss: 1.461277, acc: 0.093750] 39056: [discriminator loss: 0.456861, acc: 0.765625] [adversarial loss: 1.021728, acc: 0.406250] 39057: [discriminator loss: 0.572760, acc: 0.695312] [adversarial loss: 1.653481, acc: 0.156250] 39058: [discriminator loss: 0.509361, acc: 0.742188] [adversarial loss: 0.926086, acc: 0.484375] 39059: [discriminator loss: 0.563631, acc: 0.703125] [adversarial loss: 1.609684, acc: 0.187500] 39060: [discriminator loss: 0.581463, acc: 0.710938] [adversarial loss: 0.964879, acc: 0.390625] 39061: [discriminator loss: 0.558468, acc: 0.781250] [adversarial loss: 1.809167, acc: 0.140625] 39062: [discriminator loss: 0.512230, acc: 0.726562] [adversarial loss: 0.919125, acc: 0.390625] 39063: [discriminator loss: 0.517799, acc: 0.718750] [adversarial loss: 1.631373, acc: 0.156250] 39064: [discriminator loss: 0.546079, acc: 0.718750] [adversarial loss: 1.470155, acc: 0.234375] 39065: [discriminator loss: 0.476223, acc: 0.734375] [adversarial loss: 1.104673, acc: 0.390625] 39066: [discriminator loss: 0.531286, acc: 0.742188] [adversarial loss: 1.431525, acc: 0.140625] 39067: [discriminator loss: 0.559691, acc: 0.687500] [adversarial loss: 1.423249, acc: 0.171875] 39068: [discriminator loss: 0.432790, acc: 0.820312] [adversarial loss: 1.297727, acc: 0.265625] 39069: [discriminator loss: 0.445623, acc: 0.781250] [adversarial loss: 1.137810, acc: 0.265625] 39070: [discriminator loss: 0.491539, acc: 0.781250] [adversarial loss: 1.472043, acc: 0.140625] 39071: [discriminator loss: 0.528033, acc: 0.742188] [adversarial loss: 1.109730, acc: 0.406250] 39072: [discriminator loss: 0.495142, acc: 0.796875] [adversarial loss: 1.514119, acc: 0.171875] 39073: [discriminator loss: 0.480718, acc: 0.773438] [adversarial loss: 1.026338, acc: 0.343750] 39074: [discriminator loss: 0.511148, acc: 0.781250] [adversarial loss: 1.442376, acc: 0.203125] 39075: [discriminator loss: 0.582551, acc: 0.632812] [adversarial loss: 0.955144, acc: 0.437500] 39076: [discriminator loss: 0.478628, acc: 0.742188] [adversarial loss: 1.491970, acc: 0.171875] 39077: [discriminator loss: 0.541769, acc: 0.695312] [adversarial loss: 1.270052, acc: 0.250000] 39078: [discriminator loss: 0.449126, acc: 0.796875] [adversarial loss: 1.887980, acc: 0.125000] 39079: [discriminator loss: 0.645298, acc: 0.648438] [adversarial loss: 1.261112, acc: 0.250000] 39080: [discriminator loss: 0.484316, acc: 0.742188] [adversarial loss: 1.314463, acc: 0.265625] 39081: [discriminator loss: 0.488002, acc: 0.718750] [adversarial loss: 1.087299, acc: 0.421875] 39082: [discriminator loss: 0.508786, acc: 0.804688] [adversarial loss: 1.101010, acc: 0.343750] 39083: [discriminator loss: 0.478718, acc: 0.742188] [adversarial loss: 1.665244, acc: 0.109375] 39084: [discriminator loss: 0.525642, acc: 0.726562] [adversarial loss: 1.105300, acc: 0.328125] 39085: [discriminator loss: 0.607873, acc: 0.671875] [adversarial loss: 1.720349, acc: 0.140625] 39086: [discriminator loss: 0.627150, acc: 0.593750] [adversarial loss: 0.902785, acc: 0.484375] 39087: [discriminator loss: 0.587066, acc: 0.664062] [adversarial loss: 1.680740, acc: 0.187500] 39088: [discriminator loss: 0.492382, acc: 0.742188] [adversarial loss: 1.293287, acc: 0.234375] 39089: [discriminator loss: 0.504558, acc: 0.734375] [adversarial loss: 1.220582, acc: 0.234375] 39090: [discriminator loss: 0.487039, acc: 0.781250] [adversarial loss: 1.552923, acc: 0.125000] 39091: [discriminator loss: 0.523785, acc: 0.718750] [adversarial loss: 1.025812, acc: 0.375000] 39092: [discriminator loss: 0.454517, acc: 0.796875] [adversarial loss: 1.231892, acc: 0.265625] 39093: [discriminator loss: 0.524567, acc: 0.742188] [adversarial loss: 1.599434, acc: 0.140625] 39094: [discriminator loss: 0.611989, acc: 0.703125] [adversarial loss: 1.347837, acc: 0.250000] 39095: [discriminator loss: 0.457434, acc: 0.812500] [adversarial loss: 1.369402, acc: 0.328125] 39096: [discriminator loss: 0.519428, acc: 0.742188] [adversarial loss: 1.119293, acc: 0.375000] 39097: [discriminator loss: 0.499082, acc: 0.757812] [adversarial loss: 1.750741, acc: 0.109375] 39098: [discriminator loss: 0.521557, acc: 0.742188] [adversarial loss: 1.222558, acc: 0.203125] 39099: [discriminator loss: 0.547776, acc: 0.703125] [adversarial loss: 1.491418, acc: 0.265625] 39100: [discriminator loss: 0.462591, acc: 0.828125] [adversarial loss: 1.215728, acc: 0.281250] 39101: [discriminator loss: 0.432987, acc: 0.843750] [adversarial loss: 1.414441, acc: 0.218750] 39102: [discriminator loss: 0.460905, acc: 0.757812] [adversarial loss: 1.591054, acc: 0.109375] 39103: [discriminator loss: 0.474228, acc: 0.765625] [adversarial loss: 1.155992, acc: 0.281250] 39104: [discriminator loss: 0.451797, acc: 0.796875] [adversarial loss: 1.646946, acc: 0.171875] 39105: [discriminator loss: 0.507859, acc: 0.734375] [adversarial loss: 0.954924, acc: 0.437500] 39106: [discriminator loss: 0.561076, acc: 0.726562] [adversarial loss: 1.830911, acc: 0.078125] 39107: [discriminator loss: 0.573604, acc: 0.695312] [adversarial loss: 0.815314, acc: 0.515625] 39108: [discriminator loss: 0.484938, acc: 0.757812] [adversarial loss: 1.688306, acc: 0.062500] 39109: [discriminator loss: 0.436778, acc: 0.789062] [adversarial loss: 1.296551, acc: 0.296875] 39110: [discriminator loss: 0.519981, acc: 0.734375] [adversarial loss: 1.197460, acc: 0.265625] 39111: [discriminator loss: 0.389270, acc: 0.828125] [adversarial loss: 1.100558, acc: 0.421875] 39112: [discriminator loss: 0.478179, acc: 0.757812] [adversarial loss: 1.215374, acc: 0.265625] 39113: [discriminator loss: 0.495221, acc: 0.742188] [adversarial loss: 1.796192, acc: 0.093750] 39114: [discriminator loss: 0.493218, acc: 0.750000] [adversarial loss: 1.135891, acc: 0.265625] 39115: [discriminator loss: 0.465131, acc: 0.812500] [adversarial loss: 1.335888, acc: 0.203125] 39116: [discriminator loss: 0.468392, acc: 0.750000] [adversarial loss: 1.216168, acc: 0.234375] 39117: [discriminator loss: 0.511414, acc: 0.765625] [adversarial loss: 1.473580, acc: 0.203125] 39118: [discriminator loss: 0.415424, acc: 0.796875] [adversarial loss: 1.264816, acc: 0.265625] 39119: [discriminator loss: 0.450899, acc: 0.796875] [adversarial loss: 1.126661, acc: 0.375000] 39120: [discriminator loss: 0.589279, acc: 0.679688] [adversarial loss: 1.756907, acc: 0.171875] 39121: [discriminator loss: 0.494783, acc: 0.750000] [adversarial loss: 1.161354, acc: 0.328125] 39122: [discriminator loss: 0.535072, acc: 0.750000] [adversarial loss: 1.180024, acc: 0.328125] 39123: [discriminator loss: 0.444604, acc: 0.773438] [adversarial loss: 1.622798, acc: 0.156250] 39124: [discriminator loss: 0.491477, acc: 0.718750] [adversarial loss: 0.966335, acc: 0.375000] 39125: [discriminator loss: 0.568878, acc: 0.726562] [adversarial loss: 1.512152, acc: 0.203125] 39126: [discriminator loss: 0.590672, acc: 0.679688] [adversarial loss: 0.933822, acc: 0.421875] 39127: [discriminator loss: 0.491944, acc: 0.773438] [adversarial loss: 1.693932, acc: 0.093750] 39128: [discriminator loss: 0.445891, acc: 0.765625] [adversarial loss: 1.634986, acc: 0.203125] 39129: [discriminator loss: 0.545585, acc: 0.703125] [adversarial loss: 1.278245, acc: 0.296875] 39130: [discriminator loss: 0.460993, acc: 0.820312] [adversarial loss: 1.753074, acc: 0.156250] 39131: [discriminator loss: 0.512900, acc: 0.703125] [adversarial loss: 1.149593, acc: 0.250000] 39132: [discriminator loss: 0.483374, acc: 0.757812] [adversarial loss: 1.464980, acc: 0.140625] 39133: [discriminator loss: 0.499993, acc: 0.726562] [adversarial loss: 1.227705, acc: 0.312500] 39134: [discriminator loss: 0.450255, acc: 0.765625] [adversarial loss: 1.217156, acc: 0.312500] 39135: [discriminator loss: 0.547772, acc: 0.679688] [adversarial loss: 1.656127, acc: 0.125000] 39136: [discriminator loss: 0.480606, acc: 0.726562] [adversarial loss: 0.915072, acc: 0.484375] 39137: [discriminator loss: 0.497598, acc: 0.687500] [adversarial loss: 1.858120, acc: 0.109375] 39138: [discriminator loss: 0.538655, acc: 0.734375] [adversarial loss: 1.120971, acc: 0.250000] 39139: [discriminator loss: 0.502593, acc: 0.773438] [adversarial loss: 1.652610, acc: 0.171875] 39140: [discriminator loss: 0.540480, acc: 0.726562] [adversarial loss: 1.223286, acc: 0.296875] 39141: [discriminator loss: 0.486588, acc: 0.750000] [adversarial loss: 1.526293, acc: 0.156250] 39142: [discriminator loss: 0.497079, acc: 0.757812] [adversarial loss: 1.286948, acc: 0.171875] 39143: [discriminator loss: 0.432639, acc: 0.812500] [adversarial loss: 1.441902, acc: 0.125000] 39144: [discriminator loss: 0.524219, acc: 0.734375] [adversarial loss: 1.311673, acc: 0.265625] 39145: [discriminator loss: 0.451279, acc: 0.765625] [adversarial loss: 1.541960, acc: 0.203125] 39146: [discriminator loss: 0.516489, acc: 0.718750] [adversarial loss: 1.004308, acc: 0.375000] 39147: [discriminator loss: 0.548577, acc: 0.687500] [adversarial loss: 1.819451, acc: 0.171875] 39148: [discriminator loss: 0.562930, acc: 0.648438] [adversarial loss: 0.995758, acc: 0.359375] 39149: [discriminator loss: 0.510200, acc: 0.742188] [adversarial loss: 1.887333, acc: 0.171875] 39150: [discriminator loss: 0.579006, acc: 0.648438] [adversarial loss: 1.089746, acc: 0.359375] 39151: [discriminator loss: 0.620165, acc: 0.648438] [adversarial loss: 1.616082, acc: 0.125000] 39152: [discriminator loss: 0.497583, acc: 0.726562] [adversarial loss: 1.188486, acc: 0.296875] 39153: [discriminator loss: 0.494093, acc: 0.734375] [adversarial loss: 1.829335, acc: 0.140625] 39154: [discriminator loss: 0.525234, acc: 0.703125] [adversarial loss: 1.071792, acc: 0.500000] 39155: [discriminator loss: 0.473892, acc: 0.742188] [adversarial loss: 1.643732, acc: 0.140625] 39156: [discriminator loss: 0.538520, acc: 0.687500] [adversarial loss: 1.323704, acc: 0.234375] 39157: [discriminator loss: 0.435821, acc: 0.773438] [adversarial loss: 1.337226, acc: 0.218750] 39158: [discriminator loss: 0.496608, acc: 0.734375] [adversarial loss: 1.436371, acc: 0.156250] 39159: [discriminator loss: 0.469438, acc: 0.781250] [adversarial loss: 1.167060, acc: 0.296875] 39160: [discriminator loss: 0.546270, acc: 0.703125] [adversarial loss: 1.096372, acc: 0.375000] 39161: [discriminator loss: 0.559475, acc: 0.750000] [adversarial loss: 1.158926, acc: 0.328125] 39162: [discriminator loss: 0.488689, acc: 0.750000] [adversarial loss: 1.217371, acc: 0.234375] 39163: [discriminator loss: 0.518084, acc: 0.726562] [adversarial loss: 1.222328, acc: 0.281250] 39164: [discriminator loss: 0.500853, acc: 0.742188] [adversarial loss: 1.313290, acc: 0.203125] 39165: [discriminator loss: 0.482316, acc: 0.789062] [adversarial loss: 1.001806, acc: 0.421875] 39166: [discriminator loss: 0.485150, acc: 0.765625] [adversarial loss: 1.375209, acc: 0.250000] 39167: [discriminator loss: 0.547594, acc: 0.726562] [adversarial loss: 1.187282, acc: 0.281250] 39168: [discriminator loss: 0.511170, acc: 0.742188] [adversarial loss: 1.371832, acc: 0.234375] 39169: [discriminator loss: 0.592493, acc: 0.656250] [adversarial loss: 1.076176, acc: 0.343750] 39170: [discriminator loss: 0.463080, acc: 0.812500] [adversarial loss: 1.326752, acc: 0.171875] 39171: [discriminator loss: 0.509642, acc: 0.718750] [adversarial loss: 1.164539, acc: 0.296875] 39172: [discriminator loss: 0.484517, acc: 0.734375] [adversarial loss: 1.261852, acc: 0.250000] 39173: [discriminator loss: 0.488576, acc: 0.765625] [adversarial loss: 1.364914, acc: 0.203125] 39174: [discriminator loss: 0.547030, acc: 0.703125] [adversarial loss: 1.751380, acc: 0.187500] 39175: [discriminator loss: 0.535845, acc: 0.726562] [adversarial loss: 0.951467, acc: 0.468750] 39176: [discriminator loss: 0.507204, acc: 0.742188] [adversarial loss: 1.894018, acc: 0.093750] 39177: [discriminator loss: 0.598282, acc: 0.671875] [adversarial loss: 0.984596, acc: 0.453125] 39178: [discriminator loss: 0.536075, acc: 0.742188] [adversarial loss: 1.891883, acc: 0.062500] 39179: [discriminator loss: 0.517141, acc: 0.734375] [adversarial loss: 0.984915, acc: 0.328125] 39180: [discriminator loss: 0.506577, acc: 0.757812] [adversarial loss: 1.605832, acc: 0.234375] 39181: [discriminator loss: 0.478643, acc: 0.773438] [adversarial loss: 1.149474, acc: 0.421875] 39182: [discriminator loss: 0.588279, acc: 0.695312] [adversarial loss: 1.191400, acc: 0.281250] 39183: [discriminator loss: 0.493731, acc: 0.734375] [adversarial loss: 1.354957, acc: 0.265625] 39184: [discriminator loss: 0.425383, acc: 0.781250] [adversarial loss: 1.169785, acc: 0.296875] 39185: [discriminator loss: 0.479225, acc: 0.796875] [adversarial loss: 1.347352, acc: 0.234375] 39186: [discriminator loss: 0.511080, acc: 0.757812] [adversarial loss: 1.003240, acc: 0.343750] 39187: [discriminator loss: 0.592361, acc: 0.726562] [adversarial loss: 2.003914, acc: 0.046875] 39188: [discriminator loss: 0.593008, acc: 0.703125] [adversarial loss: 0.989959, acc: 0.453125] 39189: [discriminator loss: 0.536571, acc: 0.781250] [adversarial loss: 1.574165, acc: 0.140625] 39190: [discriminator loss: 0.500249, acc: 0.703125] [adversarial loss: 1.015483, acc: 0.406250] 39191: [discriminator loss: 0.486546, acc: 0.757812] [adversarial loss: 1.612920, acc: 0.125000] 39192: [discriminator loss: 0.503120, acc: 0.765625] [adversarial loss: 1.251953, acc: 0.328125] 39193: [discriminator loss: 0.638995, acc: 0.656250] [adversarial loss: 1.597407, acc: 0.156250] 39194: [discriminator loss: 0.591111, acc: 0.671875] [adversarial loss: 1.237965, acc: 0.281250] 39195: [discriminator loss: 0.545049, acc: 0.710938] [adversarial loss: 1.749372, acc: 0.062500] 39196: [discriminator loss: 0.469324, acc: 0.757812] [adversarial loss: 0.979560, acc: 0.375000] 39197: [discriminator loss: 0.520768, acc: 0.773438] [adversarial loss: 1.721647, acc: 0.062500] 39198: [discriminator loss: 0.574581, acc: 0.687500] [adversarial loss: 0.838908, acc: 0.484375] 39199: [discriminator loss: 0.513173, acc: 0.726562] [adversarial loss: 1.542145, acc: 0.093750] 39200: [discriminator loss: 0.525011, acc: 0.710938] [adversarial loss: 1.224370, acc: 0.203125] 39201: [discriminator loss: 0.462135, acc: 0.773438] [adversarial loss: 1.248249, acc: 0.218750] 39202: [discriminator loss: 0.484888, acc: 0.804688] [adversarial loss: 1.136286, acc: 0.281250] 39203: [discriminator loss: 0.420276, acc: 0.796875] [adversarial loss: 1.381077, acc: 0.203125] 39204: [discriminator loss: 0.462423, acc: 0.757812] [adversarial loss: 0.908795, acc: 0.421875] 39205: [discriminator loss: 0.486088, acc: 0.742188] [adversarial loss: 1.532514, acc: 0.140625] 39206: [discriminator loss: 0.485411, acc: 0.750000] [adversarial loss: 0.952290, acc: 0.546875] 39207: [discriminator loss: 0.507586, acc: 0.703125] [adversarial loss: 1.433087, acc: 0.109375] 39208: [discriminator loss: 0.526560, acc: 0.750000] [adversarial loss: 1.055835, acc: 0.437500] 39209: [discriminator loss: 0.569152, acc: 0.710938] [adversarial loss: 1.914589, acc: 0.093750] 39210: [discriminator loss: 0.557329, acc: 0.687500] [adversarial loss: 1.150690, acc: 0.375000] 39211: [discriminator loss: 0.531366, acc: 0.710938] [adversarial loss: 1.579583, acc: 0.093750] 39212: [discriminator loss: 0.459051, acc: 0.804688] [adversarial loss: 1.100168, acc: 0.375000] 39213: [discriminator loss: 0.447766, acc: 0.804688] [adversarial loss: 1.442047, acc: 0.187500] 39214: [discriminator loss: 0.551852, acc: 0.695312] [adversarial loss: 0.972054, acc: 0.328125] 39215: [discriminator loss: 0.543072, acc: 0.718750] [adversarial loss: 1.837650, acc: 0.031250] 39216: [discriminator loss: 0.531682, acc: 0.726562] [adversarial loss: 1.187846, acc: 0.296875] 39217: [discriminator loss: 0.530554, acc: 0.750000] [adversarial loss: 1.426290, acc: 0.171875] 39218: [discriminator loss: 0.469960, acc: 0.765625] [adversarial loss: 1.263723, acc: 0.281250] 39219: [discriminator loss: 0.503594, acc: 0.726562] [adversarial loss: 1.464345, acc: 0.078125] 39220: [discriminator loss: 0.523532, acc: 0.679688] [adversarial loss: 1.396895, acc: 0.203125] 39221: [discriminator loss: 0.529291, acc: 0.726562] [adversarial loss: 1.435675, acc: 0.203125] 39222: [discriminator loss: 0.509266, acc: 0.718750] [adversarial loss: 0.923836, acc: 0.421875] 39223: [discriminator loss: 0.558133, acc: 0.718750] [adversarial loss: 1.720821, acc: 0.078125] 39224: [discriminator loss: 0.530273, acc: 0.726562] [adversarial loss: 0.996581, acc: 0.421875] 39225: [discriminator loss: 0.491206, acc: 0.750000] [adversarial loss: 1.268253, acc: 0.203125] 39226: [discriminator loss: 0.510736, acc: 0.734375] [adversarial loss: 0.921618, acc: 0.484375] 39227: [discriminator loss: 0.552429, acc: 0.750000] [adversarial loss: 1.447529, acc: 0.203125] 39228: [discriminator loss: 0.517354, acc: 0.710938] [adversarial loss: 1.226409, acc: 0.328125] 39229: [discriminator loss: 0.539073, acc: 0.695312] [adversarial loss: 1.256177, acc: 0.296875] 39230: [discriminator loss: 0.476854, acc: 0.796875] [adversarial loss: 1.367162, acc: 0.156250] 39231: [discriminator loss: 0.501281, acc: 0.757812] [adversarial loss: 1.103360, acc: 0.312500] 39232: [discriminator loss: 0.512117, acc: 0.734375] [adversarial loss: 1.474697, acc: 0.187500] 39233: [discriminator loss: 0.592901, acc: 0.656250] [adversarial loss: 0.948433, acc: 0.312500] 39234: [discriminator loss: 0.468785, acc: 0.820312] [adversarial loss: 1.239717, acc: 0.296875] 39235: [discriminator loss: 0.622698, acc: 0.656250] [adversarial loss: 1.163495, acc: 0.328125] 39236: [discriminator loss: 0.524186, acc: 0.718750] [adversarial loss: 1.329977, acc: 0.234375] 39237: [discriminator loss: 0.505597, acc: 0.765625] [adversarial loss: 0.871860, acc: 0.484375] 39238: [discriminator loss: 0.531167, acc: 0.726562] [adversarial loss: 1.410309, acc: 0.187500] 39239: [discriminator loss: 0.430166, acc: 0.843750] [adversarial loss: 1.482035, acc: 0.218750] 39240: [discriminator loss: 0.544171, acc: 0.703125] [adversarial loss: 1.246472, acc: 0.312500] 39241: [discriminator loss: 0.453002, acc: 0.765625] [adversarial loss: 1.263065, acc: 0.265625] 39242: [discriminator loss: 0.480590, acc: 0.789062] [adversarial loss: 1.720023, acc: 0.078125] 39243: [discriminator loss: 0.509999, acc: 0.710938] [adversarial loss: 0.925017, acc: 0.484375] 39244: [discriminator loss: 0.559050, acc: 0.695312] [adversarial loss: 1.715644, acc: 0.125000] 39245: [discriminator loss: 0.522846, acc: 0.734375] [adversarial loss: 1.106606, acc: 0.312500] 39246: [discriminator loss: 0.534191, acc: 0.757812] [adversarial loss: 1.671349, acc: 0.062500] 39247: [discriminator loss: 0.491549, acc: 0.765625] [adversarial loss: 1.210496, acc: 0.328125] 39248: [discriminator loss: 0.524519, acc: 0.679688] [adversarial loss: 1.409867, acc: 0.156250] 39249: [discriminator loss: 0.498365, acc: 0.734375] [adversarial loss: 1.283901, acc: 0.203125] 39250: [discriminator loss: 0.405718, acc: 0.843750] [adversarial loss: 1.134394, acc: 0.359375] 39251: [discriminator loss: 0.527500, acc: 0.726562] [adversarial loss: 1.438047, acc: 0.203125] 39252: [discriminator loss: 0.515988, acc: 0.718750] [adversarial loss: 1.292097, acc: 0.218750] 39253: [discriminator loss: 0.482373, acc: 0.757812] [adversarial loss: 1.082743, acc: 0.390625] 39254: [discriminator loss: 0.484152, acc: 0.742188] [adversarial loss: 1.542618, acc: 0.265625] 39255: [discriminator loss: 0.549478, acc: 0.703125] [adversarial loss: 1.223991, acc: 0.406250] 39256: [discriminator loss: 0.562126, acc: 0.718750] [adversarial loss: 1.735479, acc: 0.109375] 39257: [discriminator loss: 0.453083, acc: 0.789062] [adversarial loss: 0.952121, acc: 0.421875] 39258: [discriminator loss: 0.554005, acc: 0.718750] [adversarial loss: 2.009622, acc: 0.093750] 39259: [discriminator loss: 0.495999, acc: 0.703125] [adversarial loss: 0.947927, acc: 0.437500] 39260: [discriminator loss: 0.501405, acc: 0.750000] [adversarial loss: 1.577144, acc: 0.171875] 39261: [discriminator loss: 0.568591, acc: 0.726562] [adversarial loss: 0.922110, acc: 0.500000] 39262: [discriminator loss: 0.509310, acc: 0.757812] [adversarial loss: 1.515653, acc: 0.109375] 39263: [discriminator loss: 0.555877, acc: 0.703125] [adversarial loss: 0.763492, acc: 0.578125] 39264: [discriminator loss: 0.544226, acc: 0.750000] [adversarial loss: 1.673696, acc: 0.125000] 39265: [discriminator loss: 0.499128, acc: 0.750000] [adversarial loss: 1.160891, acc: 0.328125] 39266: [discriminator loss: 0.439193, acc: 0.796875] [adversarial loss: 1.115243, acc: 0.421875] 39267: [discriminator loss: 0.413928, acc: 0.765625] [adversarial loss: 1.259682, acc: 0.250000] 39268: [discriminator loss: 0.410021, acc: 0.828125] [adversarial loss: 1.170823, acc: 0.390625] 39269: [discriminator loss: 0.520616, acc: 0.734375] [adversarial loss: 1.185513, acc: 0.421875] 39270: [discriminator loss: 0.545462, acc: 0.695312] [adversarial loss: 1.264995, acc: 0.296875] 39271: [discriminator loss: 0.527891, acc: 0.726562] [adversarial loss: 1.048279, acc: 0.406250] 39272: [discriminator loss: 0.641721, acc: 0.664062] [adversarial loss: 1.651409, acc: 0.171875] 39273: [discriminator loss: 0.509048, acc: 0.734375] [adversarial loss: 1.013800, acc: 0.390625] 39274: [discriminator loss: 0.487325, acc: 0.757812] [adversarial loss: 1.487869, acc: 0.171875] 39275: [discriminator loss: 0.487860, acc: 0.773438] [adversarial loss: 1.205726, acc: 0.250000] 39276: [discriminator loss: 0.492613, acc: 0.765625] [adversarial loss: 1.533166, acc: 0.125000] 39277: [discriminator loss: 0.487648, acc: 0.742188] [adversarial loss: 1.031672, acc: 0.421875] 39278: [discriminator loss: 0.555065, acc: 0.726562] [adversarial loss: 1.694783, acc: 0.093750] 39279: [discriminator loss: 0.575706, acc: 0.718750] [adversarial loss: 0.786573, acc: 0.562500] 39280: [discriminator loss: 0.613424, acc: 0.687500] [adversarial loss: 1.805548, acc: 0.046875] 39281: [discriminator loss: 0.599743, acc: 0.648438] [adversarial loss: 1.063672, acc: 0.406250] 39282: [discriminator loss: 0.482907, acc: 0.757812] [adversarial loss: 1.714073, acc: 0.125000] 39283: [discriminator loss: 0.589648, acc: 0.687500] [adversarial loss: 0.928994, acc: 0.453125] 39284: [discriminator loss: 0.570727, acc: 0.703125] [adversarial loss: 1.557796, acc: 0.187500] 39285: [discriminator loss: 0.572364, acc: 0.656250] [adversarial loss: 1.007258, acc: 0.328125] 39286: [discriminator loss: 0.531694, acc: 0.710938] [adversarial loss: 1.710536, acc: 0.062500] 39287: [discriminator loss: 0.467139, acc: 0.742188] [adversarial loss: 1.176909, acc: 0.281250] 39288: [discriminator loss: 0.489193, acc: 0.750000] [adversarial loss: 1.572479, acc: 0.171875] 39289: [discriminator loss: 0.558066, acc: 0.734375] [adversarial loss: 1.192823, acc: 0.203125] 39290: [discriminator loss: 0.638125, acc: 0.656250] [adversarial loss: 1.365433, acc: 0.187500] 39291: [discriminator loss: 0.466205, acc: 0.750000] [adversarial loss: 1.331346, acc: 0.140625] 39292: [discriminator loss: 0.512070, acc: 0.757812] [adversarial loss: 1.627249, acc: 0.140625] 39293: [discriminator loss: 0.558329, acc: 0.687500] [adversarial loss: 1.051386, acc: 0.359375] 39294: [discriminator loss: 0.456323, acc: 0.765625] [adversarial loss: 1.761125, acc: 0.109375] 39295: [discriminator loss: 0.437155, acc: 0.781250] [adversarial loss: 1.321647, acc: 0.218750] 39296: [discriminator loss: 0.545426, acc: 0.695312] [adversarial loss: 1.201573, acc: 0.265625] 39297: [discriminator loss: 0.475899, acc: 0.757812] [adversarial loss: 1.181585, acc: 0.265625] 39298: [discriminator loss: 0.482816, acc: 0.781250] [adversarial loss: 1.576531, acc: 0.125000] 39299: [discriminator loss: 0.474350, acc: 0.765625] [adversarial loss: 1.116487, acc: 0.328125] 39300: [discriminator loss: 0.511442, acc: 0.750000] [adversarial loss: 1.352318, acc: 0.218750] 39301: [discriminator loss: 0.539510, acc: 0.734375] [adversarial loss: 1.194215, acc: 0.234375] 39302: [discriminator loss: 0.458553, acc: 0.750000] [adversarial loss: 1.499324, acc: 0.171875] 39303: [discriminator loss: 0.460527, acc: 0.796875] [adversarial loss: 1.263560, acc: 0.265625] 39304: [discriminator loss: 0.538815, acc: 0.726562] [adversarial loss: 1.301231, acc: 0.265625] 39305: [discriminator loss: 0.484719, acc: 0.757812] [adversarial loss: 1.088013, acc: 0.375000] 39306: [discriminator loss: 0.496421, acc: 0.742188] [adversarial loss: 1.277121, acc: 0.187500] 39307: [discriminator loss: 0.484270, acc: 0.789062] [adversarial loss: 0.898773, acc: 0.468750] 39308: [discriminator loss: 0.515975, acc: 0.781250] [adversarial loss: 1.452978, acc: 0.171875] 39309: [discriminator loss: 0.497255, acc: 0.765625] [adversarial loss: 1.272800, acc: 0.250000] 39310: [discriminator loss: 0.462445, acc: 0.781250] [adversarial loss: 1.056315, acc: 0.234375] 39311: [discriminator loss: 0.472048, acc: 0.765625] [adversarial loss: 1.531647, acc: 0.125000] 39312: [discriminator loss: 0.568373, acc: 0.679688] [adversarial loss: 1.108041, acc: 0.343750] 39313: [discriminator loss: 0.390398, acc: 0.875000] [adversarial loss: 1.327120, acc: 0.187500] 39314: [discriminator loss: 0.475433, acc: 0.835938] [adversarial loss: 1.498442, acc: 0.171875] 39315: [discriminator loss: 0.494990, acc: 0.718750] [adversarial loss: 1.050010, acc: 0.375000] 39316: [discriminator loss: 0.539269, acc: 0.679688] [adversarial loss: 1.579188, acc: 0.125000] 39317: [discriminator loss: 0.510193, acc: 0.726562] [adversarial loss: 0.733544, acc: 0.531250] 39318: [discriminator loss: 0.582690, acc: 0.726562] [adversarial loss: 1.668544, acc: 0.109375] 39319: [discriminator loss: 0.510755, acc: 0.718750] [adversarial loss: 1.174175, acc: 0.328125] 39320: [discriminator loss: 0.496661, acc: 0.765625] [adversarial loss: 1.319014, acc: 0.250000] 39321: [discriminator loss: 0.502920, acc: 0.765625] [adversarial loss: 1.332228, acc: 0.328125] 39322: [discriminator loss: 0.537545, acc: 0.695312] [adversarial loss: 1.693461, acc: 0.125000] 39323: [discriminator loss: 0.490798, acc: 0.750000] [adversarial loss: 1.089662, acc: 0.296875] 39324: [discriminator loss: 0.580983, acc: 0.718750] [adversarial loss: 1.977935, acc: 0.062500] 39325: [discriminator loss: 0.484459, acc: 0.773438] [adversarial loss: 1.069318, acc: 0.390625] 39326: [discriminator loss: 0.448931, acc: 0.765625] [adversarial loss: 1.567897, acc: 0.203125] 39327: [discriminator loss: 0.424144, acc: 0.812500] [adversarial loss: 1.173036, acc: 0.250000] 39328: [discriminator loss: 0.473706, acc: 0.765625] [adversarial loss: 1.436910, acc: 0.250000] 39329: [discriminator loss: 0.451372, acc: 0.789062] [adversarial loss: 1.232048, acc: 0.343750] 39330: [discriminator loss: 0.512385, acc: 0.765625] [adversarial loss: 1.435534, acc: 0.187500] 39331: [discriminator loss: 0.380433, acc: 0.835938] [adversarial loss: 1.322572, acc: 0.328125] 39332: [discriminator loss: 0.466849, acc: 0.765625] [adversarial loss: 1.389069, acc: 0.171875] 39333: [discriminator loss: 0.488050, acc: 0.750000] [adversarial loss: 1.221647, acc: 0.296875] 39334: [discriminator loss: 0.613693, acc: 0.687500] [adversarial loss: 1.418159, acc: 0.234375] 39335: [discriminator loss: 0.461781, acc: 0.773438] [adversarial loss: 1.047943, acc: 0.312500] 39336: [discriminator loss: 0.445806, acc: 0.773438] [adversarial loss: 1.701359, acc: 0.109375] 39337: [discriminator loss: 0.591502, acc: 0.625000] [adversarial loss: 0.773016, acc: 0.515625] 39338: [discriminator loss: 0.555457, acc: 0.695312] [adversarial loss: 1.615941, acc: 0.062500] 39339: [discriminator loss: 0.522521, acc: 0.757812] [adversarial loss: 0.912071, acc: 0.437500] 39340: [discriminator loss: 0.513997, acc: 0.757812] [adversarial loss: 1.510880, acc: 0.187500] 39341: [discriminator loss: 0.474733, acc: 0.765625] [adversarial loss: 1.170605, acc: 0.281250] 39342: [discriminator loss: 0.456639, acc: 0.750000] [adversarial loss: 1.600349, acc: 0.250000] 39343: [discriminator loss: 0.466797, acc: 0.765625] [adversarial loss: 0.876363, acc: 0.421875] 39344: [discriminator loss: 0.587905, acc: 0.703125] [adversarial loss: 1.554088, acc: 0.156250] 39345: [discriminator loss: 0.557655, acc: 0.710938] [adversarial loss: 1.290183, acc: 0.281250] 39346: [discriminator loss: 0.577662, acc: 0.679688] [adversarial loss: 1.387205, acc: 0.234375] 39347: [discriminator loss: 0.524027, acc: 0.710938] [adversarial loss: 1.413706, acc: 0.218750] 39348: [discriminator loss: 0.506134, acc: 0.703125] [adversarial loss: 1.160231, acc: 0.296875] 39349: [discriminator loss: 0.602610, acc: 0.664062] [adversarial loss: 2.116587, acc: 0.000000] 39350: [discriminator loss: 0.641360, acc: 0.632812] [adversarial loss: 0.940330, acc: 0.359375] 39351: [discriminator loss: 0.527482, acc: 0.726562] [adversarial loss: 1.568465, acc: 0.125000] 39352: [discriminator loss: 0.549699, acc: 0.703125] [adversarial loss: 1.194489, acc: 0.296875] 39353: [discriminator loss: 0.467209, acc: 0.757812] [adversarial loss: 1.512428, acc: 0.218750] 39354: [discriminator loss: 0.543870, acc: 0.726562] [adversarial loss: 1.192325, acc: 0.265625] 39355: [discriminator loss: 0.488677, acc: 0.757812] [adversarial loss: 1.396053, acc: 0.203125] 39356: [discriminator loss: 0.547786, acc: 0.757812] [adversarial loss: 1.238029, acc: 0.234375] 39357: [discriminator loss: 0.546360, acc: 0.742188] [adversarial loss: 1.350767, acc: 0.218750] 39358: [discriminator loss: 0.412765, acc: 0.851562] [adversarial loss: 1.327775, acc: 0.281250] 39359: [discriminator loss: 0.486689, acc: 0.757812] [adversarial loss: 1.291337, acc: 0.218750] 39360: [discriminator loss: 0.453068, acc: 0.804688] [adversarial loss: 1.119483, acc: 0.296875] 39361: [discriminator loss: 0.462203, acc: 0.812500] [adversarial loss: 1.525787, acc: 0.140625] 39362: [discriminator loss: 0.469912, acc: 0.804688] [adversarial loss: 1.233745, acc: 0.187500] 39363: [discriminator loss: 0.500056, acc: 0.734375] [adversarial loss: 1.221656, acc: 0.343750] 39364: [discriminator loss: 0.422191, acc: 0.851562] [adversarial loss: 1.318596, acc: 0.250000] 39365: [discriminator loss: 0.533558, acc: 0.687500] [adversarial loss: 1.360889, acc: 0.250000] 39366: [discriminator loss: 0.577102, acc: 0.679688] [adversarial loss: 1.613654, acc: 0.218750] 39367: [discriminator loss: 0.566350, acc: 0.710938] [adversarial loss: 1.229449, acc: 0.281250] 39368: [discriminator loss: 0.549941, acc: 0.703125] [adversarial loss: 1.291496, acc: 0.234375] 39369: [discriminator loss: 0.490890, acc: 0.796875] [adversarial loss: 1.339637, acc: 0.281250] 39370: [discriminator loss: 0.508242, acc: 0.742188] [adversarial loss: 1.064828, acc: 0.359375] 39371: [discriminator loss: 0.507377, acc: 0.757812] [adversarial loss: 1.881430, acc: 0.109375] 39372: [discriminator loss: 0.470572, acc: 0.757812] [adversarial loss: 0.890469, acc: 0.406250] 39373: [discriminator loss: 0.452948, acc: 0.781250] [adversarial loss: 1.683925, acc: 0.109375] 39374: [discriminator loss: 0.479767, acc: 0.726562] [adversarial loss: 1.168859, acc: 0.359375] 39375: [discriminator loss: 0.560345, acc: 0.726562] [adversarial loss: 1.672874, acc: 0.140625] 39376: [discriminator loss: 0.546055, acc: 0.703125] [adversarial loss: 1.238386, acc: 0.359375] 39377: [discriminator loss: 0.526639, acc: 0.695312] [adversarial loss: 1.456204, acc: 0.125000] 39378: [discriminator loss: 0.511705, acc: 0.757812] [adversarial loss: 1.262556, acc: 0.296875] 39379: [discriminator loss: 0.529383, acc: 0.750000] [adversarial loss: 1.609061, acc: 0.125000] 39380: [discriminator loss: 0.559514, acc: 0.671875] [adversarial loss: 0.921193, acc: 0.406250] 39381: [discriminator loss: 0.506161, acc: 0.804688] [adversarial loss: 1.781313, acc: 0.187500] 39382: [discriminator loss: 0.626539, acc: 0.687500] [adversarial loss: 1.123202, acc: 0.328125] 39383: [discriminator loss: 0.500515, acc: 0.765625] [adversarial loss: 1.403581, acc: 0.250000] 39384: [discriminator loss: 0.471431, acc: 0.781250] [adversarial loss: 0.883399, acc: 0.484375] 39385: [discriminator loss: 0.459936, acc: 0.765625] [adversarial loss: 1.893706, acc: 0.078125] 39386: [discriminator loss: 0.532881, acc: 0.718750] [adversarial loss: 1.315543, acc: 0.312500] 39387: [discriminator loss: 0.522504, acc: 0.718750] [adversarial loss: 1.353661, acc: 0.218750] 39388: [discriminator loss: 0.566168, acc: 0.703125] [adversarial loss: 1.950573, acc: 0.093750] 39389: [discriminator loss: 0.586133, acc: 0.718750] [adversarial loss: 0.957064, acc: 0.390625] 39390: [discriminator loss: 0.468200, acc: 0.750000] [adversarial loss: 1.264575, acc: 0.312500] 39391: [discriminator loss: 0.598378, acc: 0.687500] [adversarial loss: 1.055944, acc: 0.296875] 39392: [discriminator loss: 0.504718, acc: 0.718750] [adversarial loss: 1.698999, acc: 0.140625] 39393: [discriminator loss: 0.552896, acc: 0.679688] [adversarial loss: 1.115387, acc: 0.265625] 39394: [discriminator loss: 0.539842, acc: 0.757812] [adversarial loss: 1.595775, acc: 0.125000] 39395: [discriminator loss: 0.536392, acc: 0.757812] [adversarial loss: 1.094041, acc: 0.343750] 39396: [discriminator loss: 0.588395, acc: 0.695312] [adversarial loss: 1.905031, acc: 0.062500] 39397: [discriminator loss: 0.599097, acc: 0.671875] [adversarial loss: 1.060853, acc: 0.375000] 39398: [discriminator loss: 0.540192, acc: 0.750000] [adversarial loss: 1.711977, acc: 0.046875] 39399: [discriminator loss: 0.478750, acc: 0.757812] [adversarial loss: 1.287818, acc: 0.281250] 39400: [discriminator loss: 0.475620, acc: 0.765625] [adversarial loss: 1.446044, acc: 0.187500] 39401: [discriminator loss: 0.500941, acc: 0.757812] [adversarial loss: 1.308166, acc: 0.171875] 39402: [discriminator loss: 0.442249, acc: 0.781250] [adversarial loss: 1.080307, acc: 0.375000] 39403: [discriminator loss: 0.600171, acc: 0.687500] [adversarial loss: 1.535322, acc: 0.140625] 39404: [discriminator loss: 0.440166, acc: 0.781250] [adversarial loss: 0.878838, acc: 0.500000] 39405: [discriminator loss: 0.559540, acc: 0.710938] [adversarial loss: 1.380789, acc: 0.218750] 39406: [discriminator loss: 0.403809, acc: 0.796875] [adversarial loss: 1.060202, acc: 0.359375] 39407: [discriminator loss: 0.456315, acc: 0.789062] [adversarial loss: 1.192672, acc: 0.296875] 39408: [discriminator loss: 0.461318, acc: 0.781250] [adversarial loss: 1.061467, acc: 0.343750] 39409: [discriminator loss: 0.429060, acc: 0.773438] [adversarial loss: 1.234629, acc: 0.218750] 39410: [discriminator loss: 0.463748, acc: 0.789062] [adversarial loss: 1.022496, acc: 0.390625] 39411: [discriminator loss: 0.491106, acc: 0.773438] [adversarial loss: 1.346395, acc: 0.187500] 39412: [discriminator loss: 0.489851, acc: 0.734375] [adversarial loss: 0.774922, acc: 0.562500] 39413: [discriminator loss: 0.449978, acc: 0.773438] [adversarial loss: 1.203146, acc: 0.343750] 39414: [discriminator loss: 0.455329, acc: 0.750000] [adversarial loss: 0.838649, acc: 0.531250] 39415: [discriminator loss: 0.539797, acc: 0.695312] [adversarial loss: 1.636948, acc: 0.140625] 39416: [discriminator loss: 0.534546, acc: 0.703125] [adversarial loss: 0.722069, acc: 0.625000] 39417: [discriminator loss: 0.489474, acc: 0.773438] [adversarial loss: 1.377490, acc: 0.187500] 39418: [discriminator loss: 0.498734, acc: 0.687500] [adversarial loss: 1.013736, acc: 0.359375] 39419: [discriminator loss: 0.451783, acc: 0.828125] [adversarial loss: 1.287267, acc: 0.203125] 39420: [discriminator loss: 0.511762, acc: 0.781250] [adversarial loss: 0.926256, acc: 0.531250] 39421: [discriminator loss: 0.460455, acc: 0.804688] [adversarial loss: 0.801898, acc: 0.531250] 39422: [discriminator loss: 0.607585, acc: 0.710938] [adversarial loss: 1.273661, acc: 0.281250] 39423: [discriminator loss: 0.515038, acc: 0.765625] [adversarial loss: 0.965816, acc: 0.375000] 39424: [discriminator loss: 0.512822, acc: 0.710938] [adversarial loss: 1.318845, acc: 0.218750] 39425: [discriminator loss: 0.487709, acc: 0.765625] [adversarial loss: 0.986873, acc: 0.406250] 39426: [discriminator loss: 0.515657, acc: 0.734375] [adversarial loss: 2.085940, acc: 0.031250] 39427: [discriminator loss: 0.531788, acc: 0.718750] [adversarial loss: 0.995751, acc: 0.375000] 39428: [discriminator loss: 0.453691, acc: 0.742188] [adversarial loss: 1.092476, acc: 0.328125] 39429: [discriminator loss: 0.505001, acc: 0.734375] [adversarial loss: 1.672588, acc: 0.171875] 39430: [discriminator loss: 0.540848, acc: 0.757812] [adversarial loss: 1.322226, acc: 0.312500] 39431: [discriminator loss: 0.529803, acc: 0.671875] [adversarial loss: 1.485296, acc: 0.171875] 39432: [discriminator loss: 0.488963, acc: 0.734375] [adversarial loss: 1.339878, acc: 0.281250] 39433: [discriminator loss: 0.445802, acc: 0.796875] [adversarial loss: 1.557148, acc: 0.156250] 39434: [discriminator loss: 0.517589, acc: 0.718750] [adversarial loss: 1.289085, acc: 0.312500] 39435: [discriminator loss: 0.498165, acc: 0.773438] [adversarial loss: 2.014481, acc: 0.093750] 39436: [discriminator loss: 0.575047, acc: 0.695312] [adversarial loss: 1.153529, acc: 0.312500] 39437: [discriminator loss: 0.510842, acc: 0.742188] [adversarial loss: 1.636508, acc: 0.171875] 39438: [discriminator loss: 0.576883, acc: 0.695312] [adversarial loss: 1.044633, acc: 0.406250] 39439: [discriminator loss: 0.544713, acc: 0.703125] [adversarial loss: 1.890418, acc: 0.031250] 39440: [discriminator loss: 0.525371, acc: 0.734375] [adversarial loss: 1.019132, acc: 0.406250] 39441: [discriminator loss: 0.579923, acc: 0.687500] [adversarial loss: 2.130435, acc: 0.000000] 39442: [discriminator loss: 0.564498, acc: 0.679688] [adversarial loss: 1.108649, acc: 0.359375] 39443: [discriminator loss: 0.472223, acc: 0.742188] [adversarial loss: 1.665199, acc: 0.218750] 39444: [discriminator loss: 0.496986, acc: 0.734375] [adversarial loss: 1.385737, acc: 0.156250] 39445: [discriminator loss: 0.494411, acc: 0.781250] [adversarial loss: 1.216938, acc: 0.281250] 39446: [discriminator loss: 0.537058, acc: 0.765625] [adversarial loss: 1.398214, acc: 0.203125] 39447: [discriminator loss: 0.520285, acc: 0.742188] [adversarial loss: 1.320493, acc: 0.203125] 39448: [discriminator loss: 0.514907, acc: 0.710938] [adversarial loss: 1.528398, acc: 0.203125] 39449: [discriminator loss: 0.535650, acc: 0.750000] [adversarial loss: 1.311739, acc: 0.296875] 39450: [discriminator loss: 0.471607, acc: 0.781250] [adversarial loss: 1.647881, acc: 0.109375] 39451: [discriminator loss: 0.538171, acc: 0.734375] [adversarial loss: 1.101386, acc: 0.343750] 39452: [discriminator loss: 0.498394, acc: 0.765625] [adversarial loss: 1.689309, acc: 0.140625] 39453: [discriminator loss: 0.614046, acc: 0.664062] [adversarial loss: 0.779094, acc: 0.546875] 39454: [discriminator loss: 0.628864, acc: 0.695312] [adversarial loss: 1.798479, acc: 0.156250] 39455: [discriminator loss: 0.566664, acc: 0.710938] [adversarial loss: 1.122333, acc: 0.328125] 39456: [discriminator loss: 0.519251, acc: 0.789062] [adversarial loss: 1.494485, acc: 0.171875] 39457: [discriminator loss: 0.565110, acc: 0.734375] [adversarial loss: 1.299950, acc: 0.218750] 39458: [discriminator loss: 0.512525, acc: 0.718750] [adversarial loss: 1.287340, acc: 0.265625] 39459: [discriminator loss: 0.449511, acc: 0.765625] [adversarial loss: 1.480982, acc: 0.171875] 39460: [discriminator loss: 0.498948, acc: 0.757812] [adversarial loss: 1.191190, acc: 0.343750] 39461: [discriminator loss: 0.549411, acc: 0.750000] [adversarial loss: 1.210888, acc: 0.250000] 39462: [discriminator loss: 0.489342, acc: 0.773438] [adversarial loss: 1.466363, acc: 0.250000] 39463: [discriminator loss: 0.525653, acc: 0.703125] [adversarial loss: 1.025068, acc: 0.406250] 39464: [discriminator loss: 0.493617, acc: 0.742188] [adversarial loss: 1.443965, acc: 0.156250] 39465: [discriminator loss: 0.445051, acc: 0.773438] [adversarial loss: 1.250155, acc: 0.343750] 39466: [discriminator loss: 0.537037, acc: 0.726562] [adversarial loss: 1.347098, acc: 0.250000] 39467: [discriminator loss: 0.626341, acc: 0.648438] [adversarial loss: 1.416398, acc: 0.140625] 39468: [discriminator loss: 0.491388, acc: 0.742188] [adversarial loss: 1.437217, acc: 0.187500] 39469: [discriminator loss: 0.495694, acc: 0.789062] [adversarial loss: 1.005713, acc: 0.406250] 39470: [discriminator loss: 0.449143, acc: 0.789062] [adversarial loss: 1.564571, acc: 0.140625] 39471: [discriminator loss: 0.534303, acc: 0.757812] [adversarial loss: 1.241899, acc: 0.250000] 39472: [discriminator loss: 0.500077, acc: 0.796875] [adversarial loss: 1.412547, acc: 0.218750] 39473: [discriminator loss: 0.505325, acc: 0.757812] [adversarial loss: 1.035662, acc: 0.375000] 39474: [discriminator loss: 0.466046, acc: 0.812500] [adversarial loss: 1.643270, acc: 0.109375] 39475: [discriminator loss: 0.480201, acc: 0.765625] [adversarial loss: 1.025738, acc: 0.468750] 39476: [discriminator loss: 0.524975, acc: 0.757812] [adversarial loss: 1.746660, acc: 0.109375] 39477: [discriminator loss: 0.500907, acc: 0.703125] [adversarial loss: 0.993663, acc: 0.359375] 39478: [discriminator loss: 0.582502, acc: 0.679688] [adversarial loss: 1.888103, acc: 0.093750] 39479: [discriminator loss: 0.516189, acc: 0.757812] [adversarial loss: 0.930634, acc: 0.437500] 39480: [discriminator loss: 0.467234, acc: 0.750000] [adversarial loss: 1.411330, acc: 0.203125] 39481: [discriminator loss: 0.487432, acc: 0.726562] [adversarial loss: 1.141606, acc: 0.343750] 39482: [discriminator loss: 0.468465, acc: 0.804688] [adversarial loss: 1.473479, acc: 0.171875] 39483: [discriminator loss: 0.568898, acc: 0.703125] [adversarial loss: 0.865220, acc: 0.515625] 39484: [discriminator loss: 0.525757, acc: 0.734375] [adversarial loss: 1.588162, acc: 0.171875] 39485: [discriminator loss: 0.548670, acc: 0.687500] [adversarial loss: 0.994994, acc: 0.453125] 39486: [discriminator loss: 0.525147, acc: 0.695312] [adversarial loss: 1.473047, acc: 0.140625] 39487: [discriminator loss: 0.546877, acc: 0.734375] [adversarial loss: 1.011708, acc: 0.406250] 39488: [discriminator loss: 0.522493, acc: 0.703125] [adversarial loss: 1.369318, acc: 0.265625] 39489: [discriminator loss: 0.496520, acc: 0.804688] [adversarial loss: 1.393622, acc: 0.218750] 39490: [discriminator loss: 0.401801, acc: 0.828125] [adversarial loss: 1.483481, acc: 0.171875] 39491: [discriminator loss: 0.488627, acc: 0.750000] [adversarial loss: 1.093313, acc: 0.359375] 39492: [discriminator loss: 0.561117, acc: 0.750000] [adversarial loss: 1.515404, acc: 0.187500] 39493: [discriminator loss: 0.530760, acc: 0.710938] [adversarial loss: 1.041278, acc: 0.421875] 39494: [discriminator loss: 0.479994, acc: 0.781250] [adversarial loss: 1.602262, acc: 0.187500] 39495: [discriminator loss: 0.489504, acc: 0.773438] [adversarial loss: 1.398831, acc: 0.218750] 39496: [discriminator loss: 0.576821, acc: 0.664062] [adversarial loss: 0.986503, acc: 0.375000] 39497: [discriminator loss: 0.541857, acc: 0.742188] [adversarial loss: 1.599864, acc: 0.109375] 39498: [discriminator loss: 0.504465, acc: 0.742188] [adversarial loss: 0.865332, acc: 0.515625] 39499: [discriminator loss: 0.570019, acc: 0.734375] [adversarial loss: 1.844210, acc: 0.156250] 39500: [discriminator loss: 0.640859, acc: 0.656250] [adversarial loss: 1.014791, acc: 0.406250] 39501: [discriminator loss: 0.505451, acc: 0.757812] [adversarial loss: 1.382041, acc: 0.125000] 39502: [discriminator loss: 0.525130, acc: 0.726562] [adversarial loss: 1.332738, acc: 0.265625] 39503: [discriminator loss: 0.462524, acc: 0.750000] [adversarial loss: 1.597807, acc: 0.140625] 39504: [discriminator loss: 0.485930, acc: 0.781250] [adversarial loss: 1.557409, acc: 0.171875] 39505: [discriminator loss: 0.494536, acc: 0.757812] [adversarial loss: 1.056621, acc: 0.343750] 39506: [discriminator loss: 0.653325, acc: 0.679688] [adversarial loss: 1.951355, acc: 0.046875] 39507: [discriminator loss: 0.514801, acc: 0.703125] [adversarial loss: 1.111146, acc: 0.343750] 39508: [discriminator loss: 0.486377, acc: 0.765625] [adversarial loss: 1.699312, acc: 0.093750] 39509: [discriminator loss: 0.469789, acc: 0.796875] [adversarial loss: 1.335154, acc: 0.218750] 39510: [discriminator loss: 0.476556, acc: 0.804688] [adversarial loss: 1.278141, acc: 0.218750] 39511: [discriminator loss: 0.436328, acc: 0.781250] [adversarial loss: 1.366956, acc: 0.187500] 39512: [discriminator loss: 0.491400, acc: 0.742188] [adversarial loss: 1.631591, acc: 0.093750] 39513: [discriminator loss: 0.508159, acc: 0.710938] [adversarial loss: 1.265417, acc: 0.250000] 39514: [discriminator loss: 0.571502, acc: 0.703125] [adversarial loss: 1.227737, acc: 0.296875] 39515: [discriminator loss: 0.488681, acc: 0.750000] [adversarial loss: 1.359307, acc: 0.187500] 39516: [discriminator loss: 0.515384, acc: 0.703125] [adversarial loss: 1.495447, acc: 0.140625] 39517: [discriminator loss: 0.574189, acc: 0.726562] [adversarial loss: 1.405693, acc: 0.250000] 39518: [discriminator loss: 0.535351, acc: 0.734375] [adversarial loss: 1.276254, acc: 0.281250] 39519: [discriminator loss: 0.515397, acc: 0.765625] [adversarial loss: 1.722053, acc: 0.093750] 39520: [discriminator loss: 0.533498, acc: 0.742188] [adversarial loss: 1.026119, acc: 0.437500] 39521: [discriminator loss: 0.525885, acc: 0.656250] [adversarial loss: 1.559135, acc: 0.250000] 39522: [discriminator loss: 0.615422, acc: 0.617188] [adversarial loss: 1.196427, acc: 0.281250] 39523: [discriminator loss: 0.539181, acc: 0.710938] [adversarial loss: 1.275452, acc: 0.250000] 39524: [discriminator loss: 0.493803, acc: 0.710938] [adversarial loss: 1.384186, acc: 0.312500] 39525: [discriminator loss: 0.456493, acc: 0.820312] [adversarial loss: 1.046273, acc: 0.343750] 39526: [discriminator loss: 0.486235, acc: 0.773438] [adversarial loss: 1.216321, acc: 0.250000] 39527: [discriminator loss: 0.519896, acc: 0.742188] [adversarial loss: 1.426273, acc: 0.187500] 39528: [discriminator loss: 0.425122, acc: 0.828125] [adversarial loss: 1.461747, acc: 0.140625] 39529: [discriminator loss: 0.512615, acc: 0.765625] [adversarial loss: 0.991141, acc: 0.375000] 39530: [discriminator loss: 0.492000, acc: 0.742188] [adversarial loss: 1.859460, acc: 0.093750] 39531: [discriminator loss: 0.552399, acc: 0.742188] [adversarial loss: 0.727265, acc: 0.593750] 39532: [discriminator loss: 0.504223, acc: 0.773438] [adversarial loss: 1.906881, acc: 0.062500] 39533: [discriminator loss: 0.553909, acc: 0.671875] [adversarial loss: 1.141694, acc: 0.250000] 39534: [discriminator loss: 0.516502, acc: 0.710938] [adversarial loss: 1.683698, acc: 0.171875] 39535: [discriminator loss: 0.428049, acc: 0.820312] [adversarial loss: 1.149386, acc: 0.265625] 39536: [discriminator loss: 0.471661, acc: 0.757812] [adversarial loss: 1.431327, acc: 0.218750] 39537: [discriminator loss: 0.557473, acc: 0.703125] [adversarial loss: 1.131058, acc: 0.343750] 39538: [discriminator loss: 0.512337, acc: 0.750000] [adversarial loss: 1.401512, acc: 0.218750] 39539: [discriminator loss: 0.517223, acc: 0.750000] [adversarial loss: 0.883320, acc: 0.484375] 39540: [discriminator loss: 0.471492, acc: 0.750000] [adversarial loss: 1.933761, acc: 0.109375] 39541: [discriminator loss: 0.529102, acc: 0.726562] [adversarial loss: 1.065902, acc: 0.453125] 39542: [discriminator loss: 0.600647, acc: 0.687500] [adversarial loss: 1.951378, acc: 0.046875] 39543: [discriminator loss: 0.652143, acc: 0.687500] [adversarial loss: 1.068035, acc: 0.328125] 39544: [discriminator loss: 0.487818, acc: 0.789062] [adversarial loss: 1.296576, acc: 0.250000] 39545: [discriminator loss: 0.403655, acc: 0.820312] [adversarial loss: 1.194808, acc: 0.343750] 39546: [discriminator loss: 0.492133, acc: 0.757812] [adversarial loss: 1.021579, acc: 0.406250] 39547: [discriminator loss: 0.482310, acc: 0.789062] [adversarial loss: 1.277386, acc: 0.265625] 39548: [discriminator loss: 0.503544, acc: 0.765625] [adversarial loss: 1.312610, acc: 0.281250] 39549: [discriminator loss: 0.458138, acc: 0.781250] [adversarial loss: 0.951424, acc: 0.468750] 39550: [discriminator loss: 0.470020, acc: 0.789062] [adversarial loss: 1.395110, acc: 0.218750] 39551: [discriminator loss: 0.453526, acc: 0.773438] [adversarial loss: 1.080965, acc: 0.343750] 39552: [discriminator loss: 0.467572, acc: 0.789062] [adversarial loss: 1.155356, acc: 0.312500] 39553: [discriminator loss: 0.456526, acc: 0.789062] [adversarial loss: 1.471762, acc: 0.140625] 39554: [discriminator loss: 0.463888, acc: 0.781250] [adversarial loss: 1.073770, acc: 0.359375] 39555: [discriminator loss: 0.497279, acc: 0.734375] [adversarial loss: 1.572255, acc: 0.078125] 39556: [discriminator loss: 0.513510, acc: 0.710938] [adversarial loss: 1.240694, acc: 0.281250] 39557: [discriminator loss: 0.469476, acc: 0.773438] [adversarial loss: 1.459057, acc: 0.218750] 39558: [discriminator loss: 0.561690, acc: 0.718750] [adversarial loss: 1.330532, acc: 0.281250] 39559: [discriminator loss: 0.448368, acc: 0.804688] [adversarial loss: 1.625687, acc: 0.156250] 39560: [discriminator loss: 0.510466, acc: 0.726562] [adversarial loss: 1.014599, acc: 0.390625] 39561: [discriminator loss: 0.485573, acc: 0.757812] [adversarial loss: 1.557302, acc: 0.125000] 39562: [discriminator loss: 0.558775, acc: 0.710938] [adversarial loss: 1.076347, acc: 0.312500] 39563: [discriminator loss: 0.397554, acc: 0.820312] [adversarial loss: 1.439865, acc: 0.218750] 39564: [discriminator loss: 0.437692, acc: 0.820312] [adversarial loss: 1.089605, acc: 0.312500] 39565: [discriminator loss: 0.454938, acc: 0.781250] [adversarial loss: 1.554083, acc: 0.140625] 39566: [discriminator loss: 0.579930, acc: 0.710938] [adversarial loss: 1.100435, acc: 0.359375] 39567: [discriminator loss: 0.481892, acc: 0.765625] [adversarial loss: 1.855050, acc: 0.046875] 39568: [discriminator loss: 0.524159, acc: 0.703125] [adversarial loss: 0.770800, acc: 0.640625] 39569: [discriminator loss: 0.444538, acc: 0.757812] [adversarial loss: 1.588984, acc: 0.140625] 39570: [discriminator loss: 0.506275, acc: 0.750000] [adversarial loss: 1.166186, acc: 0.250000] 39571: [discriminator loss: 0.425677, acc: 0.835938] [adversarial loss: 1.433966, acc: 0.171875] 39572: [discriminator loss: 0.531866, acc: 0.750000] [adversarial loss: 1.570727, acc: 0.171875] 39573: [discriminator loss: 0.468963, acc: 0.765625] [adversarial loss: 1.466163, acc: 0.281250] 39574: [discriminator loss: 0.486188, acc: 0.750000] [adversarial loss: 1.100126, acc: 0.343750] 39575: [discriminator loss: 0.494447, acc: 0.757812] [adversarial loss: 1.251581, acc: 0.234375] 39576: [discriminator loss: 0.510965, acc: 0.703125] [adversarial loss: 1.071225, acc: 0.343750] 39577: [discriminator loss: 0.422086, acc: 0.765625] [adversarial loss: 1.595671, acc: 0.203125] 39578: [discriminator loss: 0.506489, acc: 0.773438] [adversarial loss: 0.921039, acc: 0.468750] 39579: [discriminator loss: 0.463265, acc: 0.789062] [adversarial loss: 1.547251, acc: 0.234375] 39580: [discriminator loss: 0.508222, acc: 0.726562] [adversarial loss: 1.285120, acc: 0.296875] 39581: [discriminator loss: 0.465961, acc: 0.789062] [adversarial loss: 1.334983, acc: 0.171875] 39582: [discriminator loss: 0.490576, acc: 0.757812] [adversarial loss: 1.141368, acc: 0.265625] 39583: [discriminator loss: 0.499886, acc: 0.750000] [adversarial loss: 1.434606, acc: 0.281250] 39584: [discriminator loss: 0.432573, acc: 0.757812] [adversarial loss: 0.999078, acc: 0.406250] 39585: [discriminator loss: 0.500936, acc: 0.742188] [adversarial loss: 1.543955, acc: 0.171875] 39586: [discriminator loss: 0.518064, acc: 0.710938] [adversarial loss: 0.756281, acc: 0.515625] 39587: [discriminator loss: 0.575044, acc: 0.710938] [adversarial loss: 1.512272, acc: 0.187500] 39588: [discriminator loss: 0.487580, acc: 0.773438] [adversarial loss: 1.241365, acc: 0.234375] 39589: [discriminator loss: 0.504756, acc: 0.726562] [adversarial loss: 1.569404, acc: 0.171875] 39590: [discriminator loss: 0.490647, acc: 0.726562] [adversarial loss: 0.911329, acc: 0.500000] 39591: [discriminator loss: 0.527311, acc: 0.703125] [adversarial loss: 1.447436, acc: 0.156250] 39592: [discriminator loss: 0.497081, acc: 0.765625] [adversarial loss: 1.212546, acc: 0.296875] 39593: [discriminator loss: 0.493637, acc: 0.742188] [adversarial loss: 1.700119, acc: 0.156250] 39594: [discriminator loss: 0.528323, acc: 0.687500] [adversarial loss: 1.061041, acc: 0.265625] 39595: [discriminator loss: 0.493195, acc: 0.757812] [adversarial loss: 1.830898, acc: 0.093750] 39596: [discriminator loss: 0.510495, acc: 0.734375] [adversarial loss: 1.342392, acc: 0.328125] 39597: [discriminator loss: 0.498083, acc: 0.781250] [adversarial loss: 1.722980, acc: 0.093750] 39598: [discriminator loss: 0.513208, acc: 0.726562] [adversarial loss: 0.956563, acc: 0.515625] 39599: [discriminator loss: 0.541222, acc: 0.718750] [adversarial loss: 1.571057, acc: 0.187500] 39600: [discriminator loss: 0.537355, acc: 0.710938] [adversarial loss: 1.196516, acc: 0.312500] 39601: [discriminator loss: 0.457410, acc: 0.789062] [adversarial loss: 1.658305, acc: 0.125000] 39602: [discriminator loss: 0.573987, acc: 0.703125] [adversarial loss: 1.119361, acc: 0.359375] 39603: [discriminator loss: 0.458519, acc: 0.750000] [adversarial loss: 1.635223, acc: 0.187500] 39604: [discriminator loss: 0.593881, acc: 0.656250] [adversarial loss: 1.302402, acc: 0.265625] 39605: [discriminator loss: 0.582122, acc: 0.656250] [adversarial loss: 1.326910, acc: 0.171875] 39606: [discriminator loss: 0.554921, acc: 0.648438] [adversarial loss: 0.943244, acc: 0.437500] 39607: [discriminator loss: 0.528245, acc: 0.703125] [adversarial loss: 1.665191, acc: 0.109375] 39608: [discriminator loss: 0.523488, acc: 0.718750] [adversarial loss: 1.145170, acc: 0.328125] 39609: [discriminator loss: 0.474574, acc: 0.750000] [adversarial loss: 1.382344, acc: 0.281250] 39610: [discriminator loss: 0.475743, acc: 0.757812] [adversarial loss: 1.030277, acc: 0.390625] 39611: [discriminator loss: 0.539232, acc: 0.742188] [adversarial loss: 1.695891, acc: 0.171875] 39612: [discriminator loss: 0.526908, acc: 0.710938] [adversarial loss: 1.181262, acc: 0.312500] 39613: [discriminator loss: 0.561343, acc: 0.679688] [adversarial loss: 1.527866, acc: 0.203125] 39614: [discriminator loss: 0.509228, acc: 0.742188] [adversarial loss: 1.301291, acc: 0.234375] 39615: [discriminator loss: 0.508734, acc: 0.710938] [adversarial loss: 1.356467, acc: 0.187500] 39616: [discriminator loss: 0.526718, acc: 0.742188] [adversarial loss: 1.341766, acc: 0.250000] 39617: [discriminator loss: 0.513266, acc: 0.757812] [adversarial loss: 1.542878, acc: 0.171875] 39618: [discriminator loss: 0.518225, acc: 0.703125] [adversarial loss: 1.112907, acc: 0.390625] 39619: [discriminator loss: 0.500290, acc: 0.750000] [adversarial loss: 1.546893, acc: 0.125000] 39620: [discriminator loss: 0.566634, acc: 0.718750] [adversarial loss: 0.850840, acc: 0.484375] 39621: [discriminator loss: 0.556131, acc: 0.710938] [adversarial loss: 1.827095, acc: 0.140625] 39622: [discriminator loss: 0.500366, acc: 0.742188] [adversarial loss: 1.037175, acc: 0.328125] 39623: [discriminator loss: 0.501892, acc: 0.750000] [adversarial loss: 1.494667, acc: 0.296875] 39624: [discriminator loss: 0.430287, acc: 0.812500] [adversarial loss: 1.169476, acc: 0.343750] 39625: [discriminator loss: 0.497058, acc: 0.765625] [adversarial loss: 1.491051, acc: 0.093750] 39626: [discriminator loss: 0.541686, acc: 0.671875] [adversarial loss: 0.860576, acc: 0.484375] 39627: [discriminator loss: 0.492440, acc: 0.742188] [adversarial loss: 1.356099, acc: 0.281250] 39628: [discriminator loss: 0.484396, acc: 0.710938] [adversarial loss: 1.097743, acc: 0.390625] 39629: [discriminator loss: 0.439825, acc: 0.804688] [adversarial loss: 1.651947, acc: 0.109375] 39630: [discriminator loss: 0.523561, acc: 0.734375] [adversarial loss: 1.061847, acc: 0.359375] 39631: [discriminator loss: 0.524535, acc: 0.742188] [adversarial loss: 1.468264, acc: 0.218750] 39632: [discriminator loss: 0.549372, acc: 0.726562] [adversarial loss: 1.061240, acc: 0.437500] 39633: [discriminator loss: 0.422503, acc: 0.781250] [adversarial loss: 1.854203, acc: 0.125000] 39634: [discriminator loss: 0.577572, acc: 0.640625] [adversarial loss: 0.866606, acc: 0.468750] 39635: [discriminator loss: 0.480142, acc: 0.781250] [adversarial loss: 1.741413, acc: 0.156250] 39636: [discriminator loss: 0.536539, acc: 0.726562] [adversarial loss: 1.070520, acc: 0.296875] 39637: [discriminator loss: 0.507186, acc: 0.726562] [adversarial loss: 1.656295, acc: 0.156250] 39638: [discriminator loss: 0.491143, acc: 0.757812] [adversarial loss: 0.894454, acc: 0.437500] 39639: [discriminator loss: 0.540521, acc: 0.718750] [adversarial loss: 1.532238, acc: 0.187500] 39640: [discriminator loss: 0.470349, acc: 0.765625] [adversarial loss: 1.163845, acc: 0.312500] 39641: [discriminator loss: 0.492923, acc: 0.781250] [adversarial loss: 1.552897, acc: 0.156250] 39642: [discriminator loss: 0.462817, acc: 0.757812] [adversarial loss: 1.353405, acc: 0.140625] 39643: [discriminator loss: 0.446473, acc: 0.781250] [adversarial loss: 1.191163, acc: 0.421875] 39644: [discriminator loss: 0.481309, acc: 0.734375] [adversarial loss: 1.831639, acc: 0.140625] 39645: [discriminator loss: 0.514072, acc: 0.734375] [adversarial loss: 0.908307, acc: 0.453125] 39646: [discriminator loss: 0.456501, acc: 0.757812] [adversarial loss: 1.328375, acc: 0.328125] 39647: [discriminator loss: 0.473673, acc: 0.765625] [adversarial loss: 1.169915, acc: 0.312500] 39648: [discriminator loss: 0.476636, acc: 0.757812] [adversarial loss: 1.651644, acc: 0.140625] 39649: [discriminator loss: 0.491484, acc: 0.757812] [adversarial loss: 0.955729, acc: 0.421875] 39650: [discriminator loss: 0.625255, acc: 0.664062] [adversarial loss: 1.676254, acc: 0.171875] 39651: [discriminator loss: 0.553473, acc: 0.718750] [adversarial loss: 1.088362, acc: 0.328125] 39652: [discriminator loss: 0.550915, acc: 0.757812] [adversarial loss: 1.407049, acc: 0.093750] 39653: [discriminator loss: 0.528601, acc: 0.734375] [adversarial loss: 0.976000, acc: 0.421875] 39654: [discriminator loss: 0.544469, acc: 0.710938] [adversarial loss: 1.815284, acc: 0.062500] 39655: [discriminator loss: 0.566680, acc: 0.695312] [adversarial loss: 0.777064, acc: 0.578125] 39656: [discriminator loss: 0.539642, acc: 0.726562] [adversarial loss: 1.774044, acc: 0.062500] 39657: [discriminator loss: 0.576636, acc: 0.695312] [adversarial loss: 1.054829, acc: 0.296875] 39658: [discriminator loss: 0.546146, acc: 0.726562] [adversarial loss: 1.498344, acc: 0.140625] 39659: [discriminator loss: 0.491988, acc: 0.757812] [adversarial loss: 1.324398, acc: 0.218750] 39660: [discriminator loss: 0.528060, acc: 0.703125] [adversarial loss: 1.408125, acc: 0.234375] 39661: [discriminator loss: 0.534203, acc: 0.742188] [adversarial loss: 1.178806, acc: 0.343750] 39662: [discriminator loss: 0.584943, acc: 0.656250] [adversarial loss: 1.541770, acc: 0.203125] 39663: [discriminator loss: 0.528064, acc: 0.726562] [adversarial loss: 1.396818, acc: 0.281250] 39664: [discriminator loss: 0.487458, acc: 0.742188] [adversarial loss: 1.225376, acc: 0.281250] 39665: [discriminator loss: 0.472212, acc: 0.757812] [adversarial loss: 1.377455, acc: 0.171875] 39666: [discriminator loss: 0.484282, acc: 0.750000] [adversarial loss: 1.289540, acc: 0.234375] 39667: [discriminator loss: 0.524854, acc: 0.726562] [adversarial loss: 1.180943, acc: 0.375000] 39668: [discriminator loss: 0.460451, acc: 0.796875] [adversarial loss: 1.553594, acc: 0.125000] 39669: [discriminator loss: 0.492336, acc: 0.742188] [adversarial loss: 1.175643, acc: 0.296875] 39670: [discriminator loss: 0.486859, acc: 0.757812] [adversarial loss: 1.728972, acc: 0.062500] 39671: [discriminator loss: 0.497557, acc: 0.726562] [adversarial loss: 1.149088, acc: 0.312500] 39672: [discriminator loss: 0.548841, acc: 0.703125] [adversarial loss: 1.506596, acc: 0.156250] 39673: [discriminator loss: 0.484912, acc: 0.750000] [adversarial loss: 1.271199, acc: 0.250000] 39674: [discriminator loss: 0.499551, acc: 0.765625] [adversarial loss: 1.405387, acc: 0.203125] 39675: [discriminator loss: 0.549011, acc: 0.710938] [adversarial loss: 0.906768, acc: 0.453125] 39676: [discriminator loss: 0.583458, acc: 0.726562] [adversarial loss: 1.899137, acc: 0.046875] 39677: [discriminator loss: 0.622118, acc: 0.687500] [adversarial loss: 1.019742, acc: 0.375000] 39678: [discriminator loss: 0.568066, acc: 0.742188] [adversarial loss: 1.508178, acc: 0.046875] 39679: [discriminator loss: 0.481891, acc: 0.757812] [adversarial loss: 1.082719, acc: 0.437500] 39680: [discriminator loss: 0.439952, acc: 0.812500] [adversarial loss: 1.372082, acc: 0.187500] 39681: [discriminator loss: 0.445449, acc: 0.789062] [adversarial loss: 1.259102, acc: 0.234375] 39682: [discriminator loss: 0.439870, acc: 0.804688] [adversarial loss: 1.390725, acc: 0.250000] 39683: [discriminator loss: 0.487707, acc: 0.781250] [adversarial loss: 1.434130, acc: 0.156250] 39684: [discriminator loss: 0.412295, acc: 0.828125] [adversarial loss: 1.304803, acc: 0.234375] 39685: [discriminator loss: 0.428765, acc: 0.812500] [adversarial loss: 1.334761, acc: 0.265625] 39686: [discriminator loss: 0.481013, acc: 0.750000] [adversarial loss: 1.578818, acc: 0.218750] 39687: [discriminator loss: 0.483764, acc: 0.742188] [adversarial loss: 1.345262, acc: 0.234375] 39688: [discriminator loss: 0.576676, acc: 0.664062] [adversarial loss: 1.229836, acc: 0.328125] 39689: [discriminator loss: 0.493928, acc: 0.789062] [adversarial loss: 1.606112, acc: 0.140625] 39690: [discriminator loss: 0.464949, acc: 0.757812] [adversarial loss: 0.888508, acc: 0.546875] 39691: [discriminator loss: 0.579092, acc: 0.687500] [adversarial loss: 1.801922, acc: 0.140625] 39692: [discriminator loss: 0.527995, acc: 0.726562] [adversarial loss: 1.128394, acc: 0.421875] 39693: [discriminator loss: 0.534171, acc: 0.781250] [adversarial loss: 1.415154, acc: 0.187500] 39694: [discriminator loss: 0.494513, acc: 0.757812] [adversarial loss: 0.924342, acc: 0.437500] 39695: [discriminator loss: 0.526747, acc: 0.757812] [adversarial loss: 1.684077, acc: 0.093750] 39696: [discriminator loss: 0.571947, acc: 0.687500] [adversarial loss: 1.330573, acc: 0.343750] 39697: [discriminator loss: 0.520265, acc: 0.734375] [adversarial loss: 1.491917, acc: 0.171875] 39698: [discriminator loss: 0.616425, acc: 0.671875] [adversarial loss: 0.873321, acc: 0.546875] 39699: [discriminator loss: 0.496385, acc: 0.789062] [adversarial loss: 1.455834, acc: 0.203125] 39700: [discriminator loss: 0.524842, acc: 0.695312] [adversarial loss: 1.361861, acc: 0.187500] 39701: [discriminator loss: 0.450452, acc: 0.789062] [adversarial loss: 1.193825, acc: 0.281250] 39702: [discriminator loss: 0.490796, acc: 0.742188] [adversarial loss: 1.345589, acc: 0.140625] 39703: [discriminator loss: 0.527423, acc: 0.742188] [adversarial loss: 1.489827, acc: 0.250000] 39704: [discriminator loss: 0.507721, acc: 0.726562] [adversarial loss: 1.025260, acc: 0.406250] 39705: [discriminator loss: 0.594017, acc: 0.718750] [adversarial loss: 1.534031, acc: 0.187500] 39706: [discriminator loss: 0.557656, acc: 0.687500] [adversarial loss: 1.194593, acc: 0.343750] 39707: [discriminator loss: 0.578781, acc: 0.734375] [adversarial loss: 1.574400, acc: 0.156250] 39708: [discriminator loss: 0.498891, acc: 0.742188] [adversarial loss: 1.057806, acc: 0.343750] 39709: [discriminator loss: 0.507132, acc: 0.781250] [adversarial loss: 1.256840, acc: 0.234375] 39710: [discriminator loss: 0.562136, acc: 0.726562] [adversarial loss: 0.967131, acc: 0.437500] 39711: [discriminator loss: 0.534698, acc: 0.742188] [adversarial loss: 1.566783, acc: 0.140625] 39712: [discriminator loss: 0.515654, acc: 0.695312] [adversarial loss: 1.044263, acc: 0.406250] 39713: [discriminator loss: 0.590069, acc: 0.664062] [adversarial loss: 1.673564, acc: 0.140625] 39714: [discriminator loss: 0.616261, acc: 0.671875] [adversarial loss: 1.064385, acc: 0.281250] 39715: [discriminator loss: 0.526557, acc: 0.695312] [adversarial loss: 1.721944, acc: 0.156250] 39716: [discriminator loss: 0.551910, acc: 0.679688] [adversarial loss: 1.045419, acc: 0.359375] 39717: [discriminator loss: 0.520346, acc: 0.718750] [adversarial loss: 1.158670, acc: 0.281250] 39718: [discriminator loss: 0.547838, acc: 0.734375] [adversarial loss: 1.450714, acc: 0.062500] 39719: [discriminator loss: 0.474476, acc: 0.765625] [adversarial loss: 0.908994, acc: 0.468750] 39720: [discriminator loss: 0.534255, acc: 0.718750] [adversarial loss: 1.622913, acc: 0.109375] 39721: [discriminator loss: 0.455753, acc: 0.757812] [adversarial loss: 1.019755, acc: 0.343750] 39722: [discriminator loss: 0.498933, acc: 0.726562] [adversarial loss: 1.222853, acc: 0.296875] 39723: [discriminator loss: 0.520868, acc: 0.742188] [adversarial loss: 1.143324, acc: 0.296875] 39724: [discriminator loss: 0.528350, acc: 0.757812] [adversarial loss: 1.544508, acc: 0.187500] 39725: [discriminator loss: 0.472280, acc: 0.757812] [adversarial loss: 1.518085, acc: 0.234375] 39726: [discriminator loss: 0.496126, acc: 0.757812] [adversarial loss: 1.572883, acc: 0.171875] 39727: [discriminator loss: 0.502931, acc: 0.734375] [adversarial loss: 0.895746, acc: 0.453125] 39728: [discriminator loss: 0.497104, acc: 0.765625] [adversarial loss: 1.764508, acc: 0.140625] 39729: [discriminator loss: 0.486730, acc: 0.734375] [adversarial loss: 0.933108, acc: 0.468750] 39730: [discriminator loss: 0.598295, acc: 0.625000] [adversarial loss: 1.891615, acc: 0.078125] 39731: [discriminator loss: 0.525465, acc: 0.742188] [adversarial loss: 0.874130, acc: 0.562500] 39732: [discriminator loss: 0.525818, acc: 0.765625] [adversarial loss: 1.788244, acc: 0.125000] 39733: [discriminator loss: 0.507780, acc: 0.750000] [adversarial loss: 1.391169, acc: 0.203125] 39734: [discriminator loss: 0.525069, acc: 0.726562] [adversarial loss: 1.356538, acc: 0.281250] 39735: [discriminator loss: 0.494697, acc: 0.742188] [adversarial loss: 1.058105, acc: 0.390625] 39736: [discriminator loss: 0.478590, acc: 0.765625] [adversarial loss: 1.088934, acc: 0.375000] 39737: [discriminator loss: 0.511621, acc: 0.789062] [adversarial loss: 1.206054, acc: 0.312500] 39738: [discriminator loss: 0.471969, acc: 0.765625] [adversarial loss: 1.429215, acc: 0.250000] 39739: [discriminator loss: 0.527892, acc: 0.750000] [adversarial loss: 1.398532, acc: 0.234375] 39740: [discriminator loss: 0.511498, acc: 0.742188] [adversarial loss: 1.801984, acc: 0.140625] 39741: [discriminator loss: 0.587372, acc: 0.687500] [adversarial loss: 1.036751, acc: 0.328125] 39742: [discriminator loss: 0.465772, acc: 0.789062] [adversarial loss: 1.367151, acc: 0.250000] 39743: [discriminator loss: 0.479901, acc: 0.750000] [adversarial loss: 0.990163, acc: 0.359375] 39744: [discriminator loss: 0.437758, acc: 0.781250] [adversarial loss: 1.167258, acc: 0.265625] 39745: [discriminator loss: 0.490772, acc: 0.773438] [adversarial loss: 1.336229, acc: 0.281250] 39746: [discriminator loss: 0.457292, acc: 0.804688] [adversarial loss: 1.166205, acc: 0.390625] 39747: [discriminator loss: 0.489280, acc: 0.757812] [adversarial loss: 1.255347, acc: 0.281250] 39748: [discriminator loss: 0.495332, acc: 0.765625] [adversarial loss: 1.424941, acc: 0.156250] 39749: [discriminator loss: 0.506521, acc: 0.757812] [adversarial loss: 0.997233, acc: 0.500000] 39750: [discriminator loss: 0.503355, acc: 0.726562] [adversarial loss: 1.776802, acc: 0.156250] 39751: [discriminator loss: 0.487441, acc: 0.750000] [adversarial loss: 0.984750, acc: 0.421875] 39752: [discriminator loss: 0.532666, acc: 0.710938] [adversarial loss: 1.922040, acc: 0.093750] 39753: [discriminator loss: 0.559396, acc: 0.687500] [adversarial loss: 0.956302, acc: 0.500000] 39754: [discriminator loss: 0.571366, acc: 0.710938] [adversarial loss: 1.693326, acc: 0.109375] 39755: [discriminator loss: 0.439714, acc: 0.796875] [adversarial loss: 1.260526, acc: 0.265625] 39756: [discriminator loss: 0.432890, acc: 0.789062] [adversarial loss: 1.149340, acc: 0.265625] 39757: [discriminator loss: 0.439227, acc: 0.789062] [adversarial loss: 1.332352, acc: 0.187500] 39758: [discriminator loss: 0.438660, acc: 0.765625] [adversarial loss: 1.385587, acc: 0.203125] 39759: [discriminator loss: 0.450478, acc: 0.796875] [adversarial loss: 0.956868, acc: 0.406250] 39760: [discriminator loss: 0.441506, acc: 0.789062] [adversarial loss: 1.316897, acc: 0.156250] 39761: [discriminator loss: 0.560039, acc: 0.664062] [adversarial loss: 0.796135, acc: 0.546875] 39762: [discriminator loss: 0.504787, acc: 0.734375] [adversarial loss: 1.729263, acc: 0.140625] 39763: [discriminator loss: 0.523757, acc: 0.757812] [adversarial loss: 0.907684, acc: 0.406250] 39764: [discriminator loss: 0.469338, acc: 0.781250] [adversarial loss: 1.461535, acc: 0.234375] 39765: [discriminator loss: 0.496468, acc: 0.765625] [adversarial loss: 0.967698, acc: 0.453125] 39766: [discriminator loss: 0.425639, acc: 0.804688] [adversarial loss: 1.613949, acc: 0.250000] 39767: [discriminator loss: 0.483323, acc: 0.757812] [adversarial loss: 1.434627, acc: 0.281250] 39768: [discriminator loss: 0.482438, acc: 0.789062] [adversarial loss: 1.810514, acc: 0.109375] 39769: [discriminator loss: 0.531798, acc: 0.710938] [adversarial loss: 0.782952, acc: 0.562500] 39770: [discriminator loss: 0.475267, acc: 0.796875] [adversarial loss: 1.695689, acc: 0.140625] 39771: [discriminator loss: 0.475861, acc: 0.773438] [adversarial loss: 0.904598, acc: 0.500000] 39772: [discriminator loss: 0.449917, acc: 0.765625] [adversarial loss: 1.472526, acc: 0.218750] 39773: [discriminator loss: 0.465114, acc: 0.789062] [adversarial loss: 1.159781, acc: 0.312500] 39774: [discriminator loss: 0.545036, acc: 0.710938] [adversarial loss: 1.485305, acc: 0.140625] 39775: [discriminator loss: 0.410934, acc: 0.812500] [adversarial loss: 1.123941, acc: 0.359375] 39776: [discriminator loss: 0.425954, acc: 0.812500] [adversarial loss: 1.251532, acc: 0.281250] 39777: [discriminator loss: 0.394606, acc: 0.804688] [adversarial loss: 1.197182, acc: 0.359375] 39778: [discriminator loss: 0.490185, acc: 0.757812] [adversarial loss: 1.401202, acc: 0.187500] 39779: [discriminator loss: 0.457325, acc: 0.742188] [adversarial loss: 1.256284, acc: 0.468750] 39780: [discriminator loss: 0.524222, acc: 0.742188] [adversarial loss: 1.257045, acc: 0.328125] 39781: [discriminator loss: 0.509339, acc: 0.750000] [adversarial loss: 1.396047, acc: 0.203125] 39782: [discriminator loss: 0.486310, acc: 0.742188] [adversarial loss: 1.087687, acc: 0.312500] 39783: [discriminator loss: 0.527849, acc: 0.765625] [adversarial loss: 1.565442, acc: 0.156250] 39784: [discriminator loss: 0.466394, acc: 0.742188] [adversarial loss: 1.210185, acc: 0.328125] 39785: [discriminator loss: 0.583359, acc: 0.695312] [adversarial loss: 1.558054, acc: 0.109375] 39786: [discriminator loss: 0.559169, acc: 0.703125] [adversarial loss: 0.826480, acc: 0.546875] 39787: [discriminator loss: 0.525419, acc: 0.757812] [adversarial loss: 1.923373, acc: 0.093750] 39788: [discriminator loss: 0.555059, acc: 0.703125] [adversarial loss: 1.058003, acc: 0.390625] 39789: [discriminator loss: 0.519198, acc: 0.718750] [adversarial loss: 1.676627, acc: 0.140625] 39790: [discriminator loss: 0.502039, acc: 0.757812] [adversarial loss: 1.390504, acc: 0.171875] 39791: [discriminator loss: 0.505229, acc: 0.734375] [adversarial loss: 1.629635, acc: 0.171875] 39792: [discriminator loss: 0.464844, acc: 0.773438] [adversarial loss: 1.111469, acc: 0.375000] 39793: [discriminator loss: 0.506773, acc: 0.726562] [adversarial loss: 1.613579, acc: 0.062500] 39794: [discriminator loss: 0.494347, acc: 0.742188] [adversarial loss: 1.087049, acc: 0.406250] 39795: [discriminator loss: 0.567951, acc: 0.710938] [adversarial loss: 1.569300, acc: 0.140625] 39796: [discriminator loss: 0.454318, acc: 0.773438] [adversarial loss: 1.290798, acc: 0.250000] 39797: [discriminator loss: 0.567650, acc: 0.773438] [adversarial loss: 1.386637, acc: 0.187500] 39798: [discriminator loss: 0.532825, acc: 0.710938] [adversarial loss: 1.511652, acc: 0.203125] 39799: [discriminator loss: 0.455011, acc: 0.757812] [adversarial loss: 1.259731, acc: 0.296875] 39800: [discriminator loss: 0.527949, acc: 0.703125] [adversarial loss: 1.169055, acc: 0.375000] 39801: [discriminator loss: 0.411576, acc: 0.820312] [adversarial loss: 1.609792, acc: 0.125000] 39802: [discriminator loss: 0.522474, acc: 0.718750] [adversarial loss: 0.976724, acc: 0.359375] 39803: [discriminator loss: 0.502549, acc: 0.742188] [adversarial loss: 1.355637, acc: 0.140625] 39804: [discriminator loss: 0.427732, acc: 0.796875] [adversarial loss: 0.920079, acc: 0.453125] 39805: [discriminator loss: 0.598005, acc: 0.710938] [adversarial loss: 1.474566, acc: 0.187500] 39806: [discriminator loss: 0.477984, acc: 0.734375] [adversarial loss: 0.961345, acc: 0.484375] 39807: [discriminator loss: 0.463736, acc: 0.742188] [adversarial loss: 1.694150, acc: 0.109375] 39808: [discriminator loss: 0.537278, acc: 0.742188] [adversarial loss: 0.865212, acc: 0.531250] 39809: [discriminator loss: 0.476097, acc: 0.781250] [adversarial loss: 1.405515, acc: 0.156250] 39810: [discriminator loss: 0.519498, acc: 0.734375] [adversarial loss: 1.062790, acc: 0.359375] 39811: [discriminator loss: 0.469682, acc: 0.789062] [adversarial loss: 1.147431, acc: 0.343750] 39812: [discriminator loss: 0.421100, acc: 0.828125] [adversarial loss: 1.584576, acc: 0.234375] 39813: [discriminator loss: 0.454487, acc: 0.789062] [adversarial loss: 0.984736, acc: 0.437500] 39814: [discriminator loss: 0.527374, acc: 0.734375] [adversarial loss: 1.675000, acc: 0.187500] 39815: [discriminator loss: 0.569014, acc: 0.679688] [adversarial loss: 0.777172, acc: 0.546875] 39816: [discriminator loss: 0.595579, acc: 0.656250] [adversarial loss: 1.562700, acc: 0.218750] 39817: [discriminator loss: 0.556998, acc: 0.718750] [adversarial loss: 0.800475, acc: 0.578125] 39818: [discriminator loss: 0.434279, acc: 0.828125] [adversarial loss: 1.426055, acc: 0.265625] 39819: [discriminator loss: 0.493996, acc: 0.718750] [adversarial loss: 1.103561, acc: 0.375000] 39820: [discriminator loss: 0.451308, acc: 0.796875] [adversarial loss: 1.307772, acc: 0.281250] 39821: [discriminator loss: 0.447122, acc: 0.773438] [adversarial loss: 0.961689, acc: 0.468750] 39822: [discriminator loss: 0.476937, acc: 0.750000] [adversarial loss: 0.936657, acc: 0.421875] 39823: [discriminator loss: 0.409142, acc: 0.804688] [adversarial loss: 1.300360, acc: 0.312500] 39824: [discriminator loss: 0.517849, acc: 0.710938] [adversarial loss: 0.731496, acc: 0.562500] 39825: [discriminator loss: 0.487991, acc: 0.804688] [adversarial loss: 1.197813, acc: 0.281250] 39826: [discriminator loss: 0.516459, acc: 0.734375] [adversarial loss: 1.029362, acc: 0.390625] 39827: [discriminator loss: 0.519452, acc: 0.742188] [adversarial loss: 1.499348, acc: 0.250000] 39828: [discriminator loss: 0.495289, acc: 0.734375] [adversarial loss: 1.030321, acc: 0.359375] 39829: [discriminator loss: 0.403854, acc: 0.796875] [adversarial loss: 1.877300, acc: 0.140625] 39830: [discriminator loss: 0.446310, acc: 0.796875] [adversarial loss: 1.307391, acc: 0.234375] 39831: [discriminator loss: 0.411856, acc: 0.812500] [adversarial loss: 1.258894, acc: 0.265625] 39832: [discriminator loss: 0.415392, acc: 0.812500] [adversarial loss: 1.647870, acc: 0.140625] 39833: [discriminator loss: 0.435804, acc: 0.851562] [adversarial loss: 1.191772, acc: 0.265625] 39834: [discriminator loss: 0.448067, acc: 0.765625] [adversarial loss: 1.713612, acc: 0.140625] 39835: [discriminator loss: 0.509607, acc: 0.742188] [adversarial loss: 1.479889, acc: 0.171875] 39836: [discriminator loss: 0.428195, acc: 0.789062] [adversarial loss: 2.023025, acc: 0.031250] 39837: [discriminator loss: 0.481032, acc: 0.765625] [adversarial loss: 1.547454, acc: 0.203125] 39838: [discriminator loss: 0.406212, acc: 0.835938] [adversarial loss: 2.132521, acc: 0.046875] 39839: [discriminator loss: 0.455367, acc: 0.750000] [adversarial loss: 1.553915, acc: 0.156250] 39840: [discriminator loss: 0.488934, acc: 0.750000] [adversarial loss: 2.514893, acc: 0.046875] 39841: [discriminator loss: 0.478945, acc: 0.789062] [adversarial loss: 1.557944, acc: 0.296875] 39842: [discriminator loss: 0.496556, acc: 0.742188] [adversarial loss: 1.764852, acc: 0.109375] 39843: [discriminator loss: 0.431763, acc: 0.789062] [adversarial loss: 1.351226, acc: 0.234375] 39844: [discriminator loss: 0.514006, acc: 0.773438] [adversarial loss: 2.050928, acc: 0.109375] 39845: [discriminator loss: 0.485764, acc: 0.750000] [adversarial loss: 1.331371, acc: 0.265625] 39846: [discriminator loss: 0.418355, acc: 0.796875] [adversarial loss: 1.725384, acc: 0.218750] 39847: [discriminator loss: 0.492733, acc: 0.757812] [adversarial loss: 1.111192, acc: 0.343750] 39848: [discriminator loss: 0.460245, acc: 0.796875] [adversarial loss: 2.096817, acc: 0.078125] 39849: [discriminator loss: 0.480633, acc: 0.781250] [adversarial loss: 1.148071, acc: 0.328125] 39850: [discriminator loss: 0.445441, acc: 0.820312] [adversarial loss: 1.769551, acc: 0.250000] 39851: [discriminator loss: 0.504038, acc: 0.734375] [adversarial loss: 1.208096, acc: 0.296875] 39852: [discriminator loss: 0.460869, acc: 0.820312] [adversarial loss: 1.957280, acc: 0.109375] 39853: [discriminator loss: 0.502762, acc: 0.710938] [adversarial loss: 1.072309, acc: 0.390625] 39854: [discriminator loss: 0.501699, acc: 0.734375] [adversarial loss: 1.887694, acc: 0.093750] 39855: [discriminator loss: 0.482597, acc: 0.726562] [adversarial loss: 0.972229, acc: 0.453125] 39856: [discriminator loss: 0.477586, acc: 0.789062] [adversarial loss: 1.793952, acc: 0.156250] 39857: [discriminator loss: 0.469281, acc: 0.742188] [adversarial loss: 0.863112, acc: 0.453125] 39858: [discriminator loss: 0.497064, acc: 0.750000] [adversarial loss: 1.518944, acc: 0.156250] 39859: [discriminator loss: 0.450244, acc: 0.789062] [adversarial loss: 1.082563, acc: 0.359375] 39860: [discriminator loss: 0.443706, acc: 0.804688] [adversarial loss: 1.081211, acc: 0.421875] 39861: [discriminator loss: 0.339240, acc: 0.882812] [adversarial loss: 1.036855, acc: 0.406250] 39862: [discriminator loss: 0.393054, acc: 0.859375] [adversarial loss: 1.185210, acc: 0.421875] 39863: [discriminator loss: 0.473474, acc: 0.742188] [adversarial loss: 1.126629, acc: 0.343750] 39864: [discriminator loss: 0.369594, acc: 0.867188] [adversarial loss: 1.073824, acc: 0.328125] 39865: [discriminator loss: 0.414675, acc: 0.789062] [adversarial loss: 1.179072, acc: 0.359375] 39866: [discriminator loss: 0.483857, acc: 0.726562] [adversarial loss: 0.738356, acc: 0.609375] 39867: [discriminator loss: 0.416860, acc: 0.820312] [adversarial loss: 1.488967, acc: 0.140625] 39868: [discriminator loss: 0.494751, acc: 0.734375] [adversarial loss: 0.963116, acc: 0.484375] 39869: [discriminator loss: 0.368983, acc: 0.843750] [adversarial loss: 0.804792, acc: 0.593750] 39870: [discriminator loss: 0.389287, acc: 0.843750] [adversarial loss: 0.959922, acc: 0.437500] 39871: [discriminator loss: 0.325560, acc: 0.867188] [adversarial loss: 0.861809, acc: 0.468750] 39872: [discriminator loss: 0.397938, acc: 0.835938] [adversarial loss: 1.073753, acc: 0.375000] 39873: [discriminator loss: 0.436294, acc: 0.765625] [adversarial loss: 0.554554, acc: 0.687500] 39874: [discriminator loss: 0.418719, acc: 0.804688] [adversarial loss: 1.586516, acc: 0.187500] 39875: [discriminator loss: 0.453023, acc: 0.742188] [adversarial loss: 0.933689, acc: 0.453125] 39876: [discriminator loss: 0.421655, acc: 0.812500] [adversarial loss: 1.359316, acc: 0.265625] 39877: [discriminator loss: 0.435518, acc: 0.765625] [adversarial loss: 0.834932, acc: 0.546875] 39878: [discriminator loss: 0.496236, acc: 0.757812] [adversarial loss: 1.292402, acc: 0.343750] 39879: [discriminator loss: 0.535498, acc: 0.710938] [adversarial loss: 0.693472, acc: 0.640625] 39880: [discriminator loss: 0.358011, acc: 0.843750] [adversarial loss: 1.309313, acc: 0.265625] 39881: [discriminator loss: 0.351122, acc: 0.835938] [adversarial loss: 0.893368, acc: 0.484375] 39882: [discriminator loss: 0.373084, acc: 0.859375] [adversarial loss: 1.082148, acc: 0.343750] 39883: [discriminator loss: 0.417123, acc: 0.773438] [adversarial loss: 0.810653, acc: 0.453125] 39884: [discriminator loss: 0.445421, acc: 0.789062] [adversarial loss: 1.154844, acc: 0.328125] 39885: [discriminator loss: 0.474410, acc: 0.773438] [adversarial loss: 1.010086, acc: 0.468750] 39886: [discriminator loss: 0.380264, acc: 0.835938] [adversarial loss: 1.230281, acc: 0.265625] 39887: [discriminator loss: 0.511176, acc: 0.773438] [adversarial loss: 1.012519, acc: 0.343750] 39888: [discriminator loss: 0.495883, acc: 0.718750] [adversarial loss: 1.698393, acc: 0.156250] 39889: [discriminator loss: 0.448743, acc: 0.757812] [adversarial loss: 0.977781, acc: 0.484375] 39890: [discriminator loss: 0.390142, acc: 0.828125] [adversarial loss: 1.297978, acc: 0.218750] 39891: [discriminator loss: 0.442628, acc: 0.828125] [adversarial loss: 1.181067, acc: 0.328125] 39892: [discriminator loss: 0.423160, acc: 0.812500] [adversarial loss: 1.393024, acc: 0.171875] 39893: [discriminator loss: 0.511444, acc: 0.765625] [adversarial loss: 1.113738, acc: 0.328125] 39894: [discriminator loss: 0.477869, acc: 0.781250] [adversarial loss: 1.419015, acc: 0.218750] 39895: [discriminator loss: 0.433155, acc: 0.757812] [adversarial loss: 1.167506, acc: 0.359375] 39896: [discriminator loss: 0.488759, acc: 0.757812] [adversarial loss: 1.561723, acc: 0.171875] 39897: [discriminator loss: 0.487494, acc: 0.757812] [adversarial loss: 1.043611, acc: 0.437500] 39898: [discriminator loss: 0.506271, acc: 0.750000] [adversarial loss: 1.898586, acc: 0.046875] 39899: [discriminator loss: 0.497578, acc: 0.726562] [adversarial loss: 1.541915, acc: 0.171875] 39900: [discriminator loss: 0.472937, acc: 0.710938] [adversarial loss: 1.097269, acc: 0.375000] 39901: [discriminator loss: 0.463393, acc: 0.773438] [adversarial loss: 1.437484, acc: 0.250000] 39902: [discriminator loss: 0.528367, acc: 0.757812] [adversarial loss: 1.083685, acc: 0.453125] 39903: [discriminator loss: 0.588104, acc: 0.671875] [adversarial loss: 1.398205, acc: 0.203125] 39904: [discriminator loss: 0.533227, acc: 0.726562] [adversarial loss: 1.355002, acc: 0.281250] 39905: [discriminator loss: 0.478134, acc: 0.750000] [adversarial loss: 1.676281, acc: 0.187500] 39906: [discriminator loss: 0.459386, acc: 0.804688] [adversarial loss: 1.013057, acc: 0.406250] 39907: [discriminator loss: 0.522737, acc: 0.750000] [adversarial loss: 1.442020, acc: 0.187500] 39908: [discriminator loss: 0.525900, acc: 0.718750] [adversarial loss: 0.974485, acc: 0.390625] 39909: [discriminator loss: 0.461292, acc: 0.804688] [adversarial loss: 1.952654, acc: 0.078125] 39910: [discriminator loss: 0.612364, acc: 0.671875] [adversarial loss: 0.773756, acc: 0.562500] 39911: [discriminator loss: 0.533312, acc: 0.679688] [adversarial loss: 1.886796, acc: 0.109375] 39912: [discriminator loss: 0.485861, acc: 0.750000] [adversarial loss: 0.907897, acc: 0.421875] 39913: [discriminator loss: 0.508577, acc: 0.757812] [adversarial loss: 1.218112, acc: 0.390625] 39914: [discriminator loss: 0.534625, acc: 0.734375] [adversarial loss: 1.117739, acc: 0.281250] 39915: [discriminator loss: 0.514096, acc: 0.695312] [adversarial loss: 1.681991, acc: 0.078125] 39916: [discriminator loss: 0.493526, acc: 0.742188] [adversarial loss: 1.070676, acc: 0.375000] 39917: [discriminator loss: 0.484234, acc: 0.742188] [adversarial loss: 1.431699, acc: 0.218750] 39918: [discriminator loss: 0.460466, acc: 0.757812] [adversarial loss: 1.207346, acc: 0.296875] 39919: [discriminator loss: 0.462206, acc: 0.765625] [adversarial loss: 1.349171, acc: 0.171875] 39920: [discriminator loss: 0.421746, acc: 0.812500] [adversarial loss: 1.206423, acc: 0.265625] 39921: [discriminator loss: 0.371511, acc: 0.843750] [adversarial loss: 1.584976, acc: 0.171875] 39922: [discriminator loss: 0.556979, acc: 0.703125] [adversarial loss: 1.368565, acc: 0.187500] 39923: [discriminator loss: 0.611535, acc: 0.671875] [adversarial loss: 0.859462, acc: 0.484375] 39924: [discriminator loss: 0.488323, acc: 0.804688] [adversarial loss: 1.529907, acc: 0.203125] 39925: [discriminator loss: 0.512644, acc: 0.765625] [adversarial loss: 1.103499, acc: 0.375000] 39926: [discriminator loss: 0.521986, acc: 0.718750] [adversarial loss: 1.397106, acc: 0.187500] 39927: [discriminator loss: 0.486351, acc: 0.781250] [adversarial loss: 1.213903, acc: 0.359375] 39928: [discriminator loss: 0.481824, acc: 0.726562] [adversarial loss: 1.610422, acc: 0.156250] 39929: [discriminator loss: 0.489914, acc: 0.757812] [adversarial loss: 1.281984, acc: 0.234375] 39930: [discriminator loss: 0.537949, acc: 0.695312] [adversarial loss: 1.275191, acc: 0.218750] 39931: [discriminator loss: 0.602789, acc: 0.640625] [adversarial loss: 1.304244, acc: 0.265625] 39932: [discriminator loss: 0.520200, acc: 0.742188] [adversarial loss: 1.674585, acc: 0.218750] 39933: [discriminator loss: 0.534665, acc: 0.718750] [adversarial loss: 1.092885, acc: 0.296875] 39934: [discriminator loss: 0.546299, acc: 0.726562] [adversarial loss: 1.486644, acc: 0.187500] 39935: [discriminator loss: 0.511639, acc: 0.765625] [adversarial loss: 1.244832, acc: 0.312500] 39936: [discriminator loss: 0.525389, acc: 0.734375] [adversarial loss: 1.380836, acc: 0.203125] 39937: [discriminator loss: 0.432805, acc: 0.820312] [adversarial loss: 1.261578, acc: 0.265625] 39938: [discriminator loss: 0.525371, acc: 0.726562] [adversarial loss: 1.646493, acc: 0.203125] 39939: [discriminator loss: 0.541975, acc: 0.703125] [adversarial loss: 1.159430, acc: 0.359375] 39940: [discriminator loss: 0.552105, acc: 0.734375] [adversarial loss: 1.736800, acc: 0.125000] 39941: [discriminator loss: 0.530474, acc: 0.734375] [adversarial loss: 0.934029, acc: 0.531250] 39942: [discriminator loss: 0.639103, acc: 0.679688] [adversarial loss: 1.745401, acc: 0.109375] 39943: [discriminator loss: 0.547027, acc: 0.695312] [adversarial loss: 1.003031, acc: 0.437500] 39944: [discriminator loss: 0.478679, acc: 0.757812] [adversarial loss: 1.620061, acc: 0.171875] 39945: [discriminator loss: 0.485061, acc: 0.726562] [adversarial loss: 1.207049, acc: 0.187500] 39946: [discriminator loss: 0.463000, acc: 0.796875] [adversarial loss: 1.584105, acc: 0.109375] 39947: [discriminator loss: 0.525992, acc: 0.726562] [adversarial loss: 1.081679, acc: 0.406250] 39948: [discriminator loss: 0.554110, acc: 0.718750] [adversarial loss: 1.716045, acc: 0.187500] 39949: [discriminator loss: 0.499340, acc: 0.750000] [adversarial loss: 1.064009, acc: 0.250000] 39950: [discriminator loss: 0.625539, acc: 0.679688] [adversarial loss: 1.778580, acc: 0.234375] 39951: [discriminator loss: 0.490735, acc: 0.742188] [adversarial loss: 1.536363, acc: 0.265625] 39952: [discriminator loss: 0.482605, acc: 0.742188] [adversarial loss: 1.479895, acc: 0.187500] 39953: [discriminator loss: 0.480961, acc: 0.742188] [adversarial loss: 1.538102, acc: 0.109375] 39954: [discriminator loss: 0.482488, acc: 0.757812] [adversarial loss: 1.438838, acc: 0.218750] 39955: [discriminator loss: 0.440680, acc: 0.781250] [adversarial loss: 1.587450, acc: 0.203125] 39956: [discriminator loss: 0.529291, acc: 0.726562] [adversarial loss: 1.727191, acc: 0.109375] 39957: [discriminator loss: 0.487146, acc: 0.710938] [adversarial loss: 1.038430, acc: 0.484375] 39958: [discriminator loss: 0.519744, acc: 0.765625] [adversarial loss: 1.791235, acc: 0.078125] 39959: [discriminator loss: 0.599904, acc: 0.656250] [adversarial loss: 1.004915, acc: 0.453125] 39960: [discriminator loss: 0.536990, acc: 0.750000] [adversarial loss: 1.681003, acc: 0.109375] 39961: [discriminator loss: 0.511299, acc: 0.789062] [adversarial loss: 1.101669, acc: 0.406250] 39962: [discriminator loss: 0.522386, acc: 0.734375] [adversarial loss: 1.843600, acc: 0.109375] 39963: [discriminator loss: 0.559368, acc: 0.671875] [adversarial loss: 1.338345, acc: 0.296875] 39964: [discriminator loss: 0.511114, acc: 0.695312] [adversarial loss: 1.184625, acc: 0.390625] 39965: [discriminator loss: 0.505345, acc: 0.789062] [adversarial loss: 1.545792, acc: 0.125000] 39966: [discriminator loss: 0.470452, acc: 0.781250] [adversarial loss: 1.143876, acc: 0.296875] 39967: [discriminator loss: 0.573264, acc: 0.750000] [adversarial loss: 1.575401, acc: 0.218750] 39968: [discriminator loss: 0.498177, acc: 0.734375] [adversarial loss: 1.172045, acc: 0.296875] 39969: [discriminator loss: 0.468156, acc: 0.726562] [adversarial loss: 1.224950, acc: 0.281250] 39970: [discriminator loss: 0.437934, acc: 0.820312] [adversarial loss: 1.547393, acc: 0.156250] 39971: [discriminator loss: 0.482902, acc: 0.765625] [adversarial loss: 1.204636, acc: 0.359375] 39972: [discriminator loss: 0.579052, acc: 0.718750] [adversarial loss: 1.320836, acc: 0.250000] 39973: [discriminator loss: 0.507659, acc: 0.734375] [adversarial loss: 0.974057, acc: 0.375000] 39974: [discriminator loss: 0.522688, acc: 0.742188] [adversarial loss: 1.390102, acc: 0.156250] 39975: [discriminator loss: 0.476722, acc: 0.796875] [adversarial loss: 1.142241, acc: 0.328125] 39976: [discriminator loss: 0.483445, acc: 0.765625] [adversarial loss: 1.463007, acc: 0.187500] 39977: [discriminator loss: 0.549855, acc: 0.718750] [adversarial loss: 0.798503, acc: 0.515625] 39978: [discriminator loss: 0.647813, acc: 0.703125] [adversarial loss: 2.021202, acc: 0.046875] 39979: [discriminator loss: 0.540346, acc: 0.734375] [adversarial loss: 0.932057, acc: 0.406250] 39980: [discriminator loss: 0.496230, acc: 0.789062] [adversarial loss: 1.497083, acc: 0.156250] 39981: [discriminator loss: 0.484490, acc: 0.734375] [adversarial loss: 1.094966, acc: 0.328125] 39982: [discriminator loss: 0.531130, acc: 0.687500] [adversarial loss: 1.537552, acc: 0.140625] 39983: [discriminator loss: 0.469319, acc: 0.757812] [adversarial loss: 1.103617, acc: 0.343750] 39984: [discriminator loss: 0.423077, acc: 0.773438] [adversarial loss: 1.241959, acc: 0.296875] 39985: [discriminator loss: 0.493472, acc: 0.710938] [adversarial loss: 1.390549, acc: 0.250000] 39986: [discriminator loss: 0.553180, acc: 0.718750] [adversarial loss: 1.434425, acc: 0.203125] 39987: [discriminator loss: 0.495745, acc: 0.820312] [adversarial loss: 1.170978, acc: 0.265625] 39988: [discriminator loss: 0.451460, acc: 0.781250] [adversarial loss: 1.413509, acc: 0.171875] 39989: [discriminator loss: 0.419856, acc: 0.820312] [adversarial loss: 1.440859, acc: 0.265625] 39990: [discriminator loss: 0.534078, acc: 0.757812] [adversarial loss: 1.295106, acc: 0.203125] 39991: [discriminator loss: 0.497199, acc: 0.734375] [adversarial loss: 1.455828, acc: 0.171875] 39992: [discriminator loss: 0.473323, acc: 0.773438] [adversarial loss: 1.189492, acc: 0.312500] 39993: [discriminator loss: 0.448234, acc: 0.781250] [adversarial loss: 1.618794, acc: 0.203125] 39994: [discriminator loss: 0.461883, acc: 0.765625] [adversarial loss: 1.164420, acc: 0.343750] 39995: [discriminator loss: 0.523933, acc: 0.742188] [adversarial loss: 1.502442, acc: 0.156250] 39996: [discriminator loss: 0.487061, acc: 0.726562] [adversarial loss: 1.090317, acc: 0.468750] 39997: [discriminator loss: 0.566795, acc: 0.679688] [adversarial loss: 2.009386, acc: 0.046875] 39998: [discriminator loss: 0.490221, acc: 0.750000] [adversarial loss: 0.936111, acc: 0.484375] 39999: [discriminator loss: 0.473542, acc: 0.734375] [adversarial loss: 1.745233, acc: 0.171875]
In [17]:
def test_generator(generator):
noise_input = np.random.uniform(-1.0, 1.0, size=[16, 100])
plot_images(generator,
noise_input=noise_input,
show=True,
model_name="test_outputs")
In [23]:
generator = load_model("dcgan_mnist-pre-trained.h5")
test_generator(generator)
/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py:269: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
In [ ]:
def plot_images(generator,
noise_input,
show=False,
step=0,
model_name="gan"):
"""Generate fake images and plot them
For visualization purposes, generate fake images
then plot them in a square grid
# Arguments
generator (Model): The Generator Model for fake images generation
noise_input (ndarray): Array of z-vectors
show (bool): Whether to show plot or not
step (int): Appended to filename of the save images
model_name (string): Model name
"""
os.makedirs(model_name, exist_ok=True)
filename = os.path.join(model_name, "%05d.png" % step)
images = generator.predict(noise_input)
plt.figure(figsize=(2.2, 2.2))
num_images = images.shape[0]
image_size = images.shape[1]
rows = int(math.sqrt(noise_input.shape[0]))
for i in range(num_images):
plt.subplot(rows, rows, i + 1)
image = np.reshape(images[i], [image_size, image_size])
plt.imshow(image, cmap='gray')
plt.axis('off')
plt.savefig(filename)
if show:
plt.show()
else:
plt.close('all')
In [ ]:
# test_noise_input = np.random.uniform(-1.0, 1.0, size=[1, 100])