ubuntu18.04下EnlightenGAN运行过程记录

运行过程

1、代码：https://github.com/VITA-Group/EnlightenGAN

2、conda创建虚拟环境：

conda create -n enlighten python=3.5

3、进入项目文件夹，打开终端

conda activate enlighten
pip install -r requirement.txt

4、创建文件夹mkdir

mkdir model

5、下载VGG pretrained model，放入model文件夹中。

训练/测试

一、仅测试时：
1、下载pretrained model，放入./checkpoints/enlightening中

2、创建文件夹../test_dataset/testA and ../test_dataset/testB（即test_dataset文件夹与项目文件夹同级的位置），将自己要测试的图片放入testA，在testB中至少存入一张随机图片

3、

python scripts/script.py --predict

最终结果保存在./ablation中

可能出现的错
（1）RuntimeError: CUDNN_STATUS_EXECUTION_FAILED

解决：参考RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED

二、训练自己的模型时
1、创建文件夹../final_dataset/trainA and ../final_dataset/trainB（即final_dataset文件夹与项目文件夹同级的位置），将图片（下载）分别放入

2、

nohup python -m visdom.server -port=8097

（可选步骤）打开浏览器，输入http://localhost:8097/（可以实时观看图片结果）

关于如何停止visdom.server步骤：
（1）ps -aux | grep visdom.server
（2）sudo kill 进程号（PID）

3、另开一个终端，激活虚拟环境enlighten后，输入：

python scripts/script.py --train

可能出现的错误：
（1）
在这里插入图片描述
解决：

将./checkpoints/enlightening/opt.txt中的gpu_ids:[0,1,2]改为了gpu_ids:[0]
将./scripts/script.py中的gpu_ids 0,1,2改为了gpu_ids 0

（2）
在这里插入图片描述解决：参考RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED 解决方案

在train.py中加入

import torch
torch.backends.cudnn.enabled = False

（3）error：cuda runtime error (38) : no CUDA-capable device is detected at …\aten\src\

解决：

输入nvidia-smi发现输出：NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver
那么采用here的方法

（4）内存溢出
暂时解决：
将batchsize改小或者减小训练图片的尺寸

我的将batchsize改为了1，把训练图片的尺寸改成了256*256，
并且将base_dataset.py中的transform_list.append(transforms.RandomCrop(opt.finesize))改成了transform_list.append(transforms.RandomCrop(256))

训练过程：

------------ Options -------------
D_P_times2: False
IN_vgg: False
batchSize: 1
beta1: 0.5
checkpoints_dir: ./checkpoints
config: configs/unit_gta2city_folder.yaml
continue_train: False
dataroot: ../final_dataset
dataset_mode: unaligned
display_freq: 30
display_id: 1
display_port: 8097
display_single_pane_ncols: 0
display_winsize: 256
fcn: 0
fineSize: 320
gpu_ids: [0]
high_times: 400
hybrid_loss: True
identity: 0.0
input_linear: False
input_nc: 3
instance_norm: 0.0
isTrain: True
l1: 10.0
lambda_A: 10.0
lambda_B: 10.0
latent_norm: False
latent_threshold: False
lighten: False
linear: False
linear_add: False
loadSize: 286
low_times: 200
lr: 0.0001
max_dataset_size: inf
model: single
multiply: False
nThreads: 4
n_layers_D: 5
n_layers_patchD: 4
name: enlightening
ndf: 64
new_lr: False
ngf: 64
niter: 100
niter_decay: 100
no_dropout: True
no_flip: False
no_html: False
no_lsgan: False
no_vgg_instance: False
noise: 0
norm: instance
norm_attention: False
output_nc: 3
patchD: True
patchD_3: 5
patchSize: 32
patch_vgg: True
phase: train
pool_size: 50
print_freq: 100
resize_or_crop: crop
save_epoch_freq: 5
save_latest_freq: 5000
self_attention: True
serial_batches: False
skip: 1.0
syn_norm: False
tanh: False
times_residual: True
use_avgpool: 0
use_mse: False
use_norm: 1.0
use_ragan: True
use_wgan: 0.0
vary: 1
vgg: 1.0
vgg_choose: relu5_1
vgg_maxpooling: False
vgg_mean: False
which_direction: AtoB
which_epoch: latest
which_model_netD: no_norm_4
which_model_netG: sid_unet_resize
-------------- End ----------------
train.py:15: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  return yaml.load(stream)
CustomDatasetDataLoader
dataset [UnalignedDataset] was created
#training images = 1016
single
---------- Networks initialized -------------
DataParallel(
  (module): Unet_resize_conv(
    (conv1_1): Conv2d(4, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (downsample_1): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (downsample_2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (downsample_3): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (downsample_4): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (LReLU1_1): LeakyReLU(0.2, inplace)
    (bn1_1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True)
    (conv1_2): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU1_2): LeakyReLU(0.2, inplace)
    (bn1_2): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True)
    (max_pool1): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (conv2_1): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU2_1): LeakyReLU(0.2, inplace)
    (bn2_1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
    (conv2_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU2_2): LeakyReLU(0.2, inplace)
    (bn2_2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
    (max_pool2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (conv3_1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU3_1): LeakyReLU(0.2, inplace)
    (bn3_1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
    (conv3_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU3_2): LeakyReLU(0.2, inplace)
    (bn3_2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
    (max_pool3): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (conv4_1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU4_1): LeakyReLU(0.2, inplace)
    (bn4_1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
    (conv4_2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU4_2): LeakyReLU(0.2, inplace)
    (bn4_2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
    (max_pool4): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), dilation=(1, 1), ceil_mode=False)
    (conv5_1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU5_1): LeakyReLU(0.2, inplace)
    (bn5_1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
    (conv5_2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU5_2): LeakyReLU(0.2, inplace)
    (bn5_2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
    (deconv5): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (conv6_1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU6_1): LeakyReLU(0.2, inplace)
    (bn6_1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
    (conv6_2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU6_2): LeakyReLU(0.2, inplace)
    (bn6_2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
    (deconv6): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (conv7_1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU7_1): LeakyReLU(0.2, inplace)
    (bn7_1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
    (conv7_2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU7_2): LeakyReLU(0.2, inplace)
    (bn7_2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
    (deconv7): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (conv8_1): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU8_1): LeakyReLU(0.2, inplace)
    (bn8_1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
    (conv8_2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU8_2): LeakyReLU(0.2, inplace)
    (bn8_2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
    (deconv8): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (conv9_1): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU9_1): LeakyReLU(0.2, inplace)
    (bn9_1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True)
    (conv9_2): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (LReLU9_2): LeakyReLU(0.2, inplace)
    (conv10): Conv2d(32, 3, kernel_size=(1, 1), stride=(1, 1))
  )
)
Total number of parameters: 8636675
DataParallel(
  (module): NoNormDiscriminator(
    (model): Sequential(
      (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (1): LeakyReLU(0.2, inplace)
      (2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (3): LeakyReLU(0.2, inplace)
      (4): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (5): LeakyReLU(0.2, inplace)
      (6): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (7): LeakyReLU(0.2, inplace)
      (8): Conv2d(512, 512, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (9): LeakyReLU(0.2, inplace)
      (10): Conv2d(512, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2))
      (11): LeakyReLU(0.2, inplace)
      (12): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2))
    )
  )
)
Total number of parameters: 11154369
DataParallel(
  (module): NoNormDiscriminator(
    (model): Sequential(
      (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (1): LeakyReLU(0.2, inplace)
      (2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (3): LeakyReLU(0.2, inplace)
      (4): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (5): LeakyReLU(0.2, inplace)
      (6): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2))
      (7): LeakyReLU(0.2, inplace)
      (8): Conv2d(512, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2))
      (9): LeakyReLU(0.2, inplace)
      (10): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2))
    )
  )
)
Total number of parameters: 6959553
-----------------------------------------------
model [SingleGANModel] was created
Setting up a new session...
create web directory ./checkpoints/enlightening/web...
(epoch: 1, iters: 100, time: 0.246) D_A: 0.258 G_A: 2.298 vgg: 0.322 D_P: 0.142 
(epoch: 1, iters: 200, time: 0.229) D_A: 0.274 G_A: 2.480 vgg: 1.187 D_P: 0.003 
(epoch: 1, iters: 300, time: 0.440) D_A: 0.256 G_A: 2.032 vgg: 2.433 D_P: 0.012 
(epoch: 1, iters: 400, time: 0.230) D_A: 0.255 G_A: 2.074 vgg: 0.341 D_P: 0.019 
(epoch: 1, iters: 500, time: 0.230) D_A: 0.253 G_A: 2.108 vgg: 0.375 D_P: 0.031 
(epoch: 1, iters: 600, time: 0.468) D_A: 0.253 G_A: 2.227 vgg: 0.309 D_P: 0.106 
(epoch: 1, iters: 700, time: 0.268) D_A: 0.356 G_A: 1.333 vgg: 0.030 D_P: 0.140 
(epoch: 1, iters: 800, time: 0.231) D_A: 0.256 G_A: 2.215 vgg: 0.162 D_P: 0.045 
(epoch: 1, iters: 900, time: 0.541) D_A: 0.288 G_A: 1.288 vgg: 0.066 D_P: 0.230 
(epoch: 1, iters: 1000, time: 0.230) D_A: 0.311 G_A: 2.786 vgg: 0.459 D_P: 0.033 
End of epoch 1 / 200 	 Time Taken: 232 sec
(epoch: 2, iters: 84, time: 0.233) D_A: 0.278 G_A: 1.805 vgg: 0.169 D_P: 0.017 
(epoch: 2, iters: 184, time: 0.626) D_A: 0.565 G_A: 3.627 vgg: 0.277 D_P: 0.018 
(epoch: 2, iters: 284, time: 0.242) D_A: 0.263 G_A: 1.653 vgg: 0.044 D_P: 0.082 
(epoch: 2, iters: 384, time: 0.231) D_A: 0.266 G_A: 2.345 vgg: 0.179 D_P: 0.098 
(epoch: 2, iters: 484, time: 0.554) D_A: 0.253 G_A: 2.099 vgg: 0.106 D_P: 0.067 
(epoch: 2, iters: 584, time: 0.243) D_A: 0.433 G_A: 0.657 vgg: 0.055 D_P: 0.271 
(epoch: 2, iters: 684, time: 0.232) D_A: 0.253 G_A: 1.987 vgg: 0.156 D_P: 0.005 
(epoch: 2, iters: 784, time: 0.526) D_A: 0.260 G_A: 2.096 vgg: 0.498 D_P: 0.026 
(epoch: 2, iters: 884, time: 0.231) D_A: 0.256 G_A: 1.729 vgg: 0.233 D_P: 0.069 
(epoch: 2, iters: 984, time: 0.231) D_A: 0.360 G_A: 1.343 vgg: 0.236 D_P: 0.230 
End of epoch 2 / 200 	 Time Taken: 235 sec
(epoch: 3, iters: 68, time: 0.569) D_A: 0.341 G_A: 1.312 vgg: 0.265 D_P: 0.110 
(epoch: 3, iters: 168, time: 0.231) D_A: 0.410 G_A: 1.278 vgg: 0.502 D_P: 0.285 
(epoch: 3, iters: 268, time: 0.232) D_A: 0.291 G_A: 1.280 vgg: 0.367 D_P: 0.194 
(epoch: 3, iters: 368, time: 0.542) D_A: 0.261 G_A: 1.680 vgg: 0.580 D_P: 0.188 
(epoch: 3, iters: 468, time: 0.232) D_A: 0.466 G_A: 0.796 vgg: 0.366 D_P: 0.347 
(epoch: 3, iters: 568, time: 0.231) D_A: 0.301 G_A: 1.219 vgg: 0.707 D_P: 0.180 
(epoch: 3, iters: 668, time: 0.507) D_A: 0.264 G_A: 1.575 vgg: 0.659 D_P: 0.158 
(epoch: 3, iters: 768, time: 0.232) D_A: 0.311 G_A: 1.177 vgg: 0.626 D_P: 0.180 
(epoch: 3, iters: 868, time: 0.232) D_A: 0.379 G_A: 0.936 vgg: 0.489 D_P: 0.235 
(epoch: 3, iters: 968, time: 0.545) D_A: 0.362 G_A: 0.974 vgg: 0.382 D_P: 0.231 
End of epoch 3 / 200 	 Time Taken: 232 sec
(epoch: 4, iters: 52, time: 0.232) D_A: 0.308 G_A: 1.103 vgg: 0.312 D_P: 0.198 
(epoch: 4, iters: 152, time: 0.232) D_A: 0.399 G_A: 0.838 vgg: 0.419 D_P: 0.236 
(epoch: 4, iters: 252, time: 0.532) D_A: 0.432 G_A: 0.844 vgg: 0.295 D_P: 0.312 
(epoch: 4, iters: 352, time: 0.232) D_A: 0.414 G_A: 0.891 vgg: 0.387 D_P: 0.240 
(epoch: 4, iters: 452, time: 0.232) D_A: 0.300 G_A: 1.730 vgg: 0.434 D_P: 0.162 
(epoch: 4, iters: 552, time: 0.555) D_A: 0.382 G_A: 0.921 vgg: 0.478 D_P: 0.262 
(epoch: 4, iters: 652, time: 0.232) D_A: 0.495 G_A: 0.862 vgg: 1.041 D_P: 0.195 
(epoch: 4, iters: 752, time: 0.232) D_A: 0.531 G_A: 0.697 vgg: 0.580 D_P: 0.280 
(epoch: 4, iters: 852, time: 0.482) D_A: 0.470 G_A: 0.882 vgg: 1.253 D_P: 0.216 
(epoch: 4, iters: 952, time: 0.232) D_A: 0.295 G_A: 1.424 vgg: 0.744 D_P: 0.228 
End of epoch 4 / 200 	 Time Taken: 231 sec
(epoch: 5, iters: 36, time: 0.233) D_A: 0.416 G_A: 0.921 vgg: 0.364 D_P: 0.297 
(epoch: 5, iters: 136, time: 0.588) D_A: 0.306 G_A: 1.228 vgg: 0.373 D_P: 0.198 
(epoch: 5, iters: 236, time: 0.255) D_A: 0.466 G_A: 0.829 vgg: 0.773 D_P: 0.215 
(epoch: 5, iters: 336, time: 0.232) D_A: 0.487 G_A: 0.930 vgg: 0.457 D_P: 0.218 
(epoch: 5, iters: 436, time: 0.533) D_A: 0.518 G_A: 0.937 vgg: 0.788 D_P: 0.310 
(epoch: 5, iters: 536, time: 0.232) D_A: 0.324 G_A: 1.182 vgg: 0.883 D_P: 0.238 
(epoch: 5, iters: 636, time: 0.258) D_A: 0.308 G_A: 1.105 vgg: 0.685 D_P: 0.256 
(epoch: 5, iters: 736, time: 0.481) D_A: 0.392 G_A: 1.065 vgg: 0.744 D_P: 0.286 
(epoch: 5, iters: 836, time: 0.254) D_A: 0.261 G_A: 1.516 vgg: 0.347 D_P: 0.172 
(epoch: 5, iters: 936, time: 0.254) D_A: 0.385 G_A: 1.004 vgg: 0.554 D_P: 0.195 
saving the latest model (epoch 5, total_steps 5000)
saving the model at the end of epoch 5, iters 5080
End of epoch 5 / 200 	 Time Taken: 237 sec
(epoch: 6, iters: 20, time: 0.586) D_A: 0.405 G_A: 0.946 vgg: 0.237 D_P: 0.198 
(epoch: 6, iters: 120, time: 0.233) D_A: 0.419 G_A: 0.951 vgg: 0.557 D_P: 0.205 
(epoch: 6, iters: 220, time: 0.258) D_A: 0.295 G_A: 1.494 vgg: 0.559 D_P: 0.203 
(epoch: 6, iters: 320, time: 0.609) D_A: 0.288 G_A: 1.923 vgg: 0.313 D_P: 0.151 
(epoch: 6, iters: 420, time: 0.245) D_A: 0.397 G_A: 1.032 vgg: 0.362 D_P: 0.186 
(epoch: 6, iters: 520, time: 0.232) D_A: 0.407 G_A: 0.884 vgg: 0.357 D_P: 0.310 
(epoch: 6, iters: 620, time: 0.604) D_A: 0.403 G_A: 1.131 vgg: 0.800 D_P: 0.275 
(epoch: 6, iters: 720, time: 0.253) D_A: 0.329 G_A: 1.132 vgg: 0.264 D_P: 0.253 
(epoch: 6, iters: 820, time: 0.233) D_A: 0.434 G_A: 0.887 vgg: 0.567 D_P: 0.309 
(epoch: 6, iters: 920, time: 0.610) D_A: 0.441 G_A: 0.982 vgg: 0.683 D_P: 0.343 
End of epoch 6 / 200 	 Time Taken: 240 sec
(epoch: 7, iters: 4, time: 0.233) D_A: 0.270 G_A: 1.317 vgg: 0.706 D_P: 0.251 
(epoch: 7, iters: 104, time: 0.252) D_A: 0.291 G_A: 1.597 vgg: 1.216 D_P: 0.084 
(epoch: 7, iters: 204, time: 0.586) D_A: 0.476 G_A: 0.935 vgg: 0.739 D_P: 0.231 
(epoch: 7, iters: 304, time: 0.252) D_A: 0.279 G_A: 1.394 vgg: 0.228 D_P: 0.242 
(epoch: 7, iters: 404, time: 0.233) D_A: 0.266 G_A: 1.340 vgg: 0.329 D_P: 0.268 
(epoch: 7, iters: 504, time: 0.593) D_A: 0.264 G_A: 1.367 vgg: 0.650 D_P: 0.168 
(epoch: 7, iters: 604, time: 0.232) D_A: 0.280 G_A: 1.468 vgg: 0.348 D_P: 0.185 
(epoch: 7, iters: 704, time: 0.237) D_A: 0.301 G_A: 1.245 vgg: 0.673 D_P: 0.164 
(epoch: 7, iters: 804, time: 0.567) D_A: 0.367 G_A: 0.975 vgg: 0.580 D_P: 0.283 
(epoch: 7, iters: 904, time: 0.233) D_A: 0.582 G_A: 0.832 vgg: 0.197 D_P: 0.209 
(epoch: 7, iters: 1004, time: 0.233) D_A: 0.287 G_A: 1.100 vgg: 0.454 D_P: 0.268 
End of epoch 7 / 200 	 Time Taken: 241 sec
(epoch: 8, iters: 88, time: 0.558) D_A: 0.333 G_A: 1.092 vgg: 0.314 D_P: 0.190 
(epoch: 8, iters: 188, time: 0.234) D_A: 0.309 G_A: 1.228 vgg: 0.436 D_P: 0.276 
(epoch: 8, iters: 288, time: 0.233) D_A: 0.360 G_A: 1.077 vgg: 0.813 D_P: 0.276 
(epoch: 8, iters: 388, time: 0.545) D_A: 0.425 G_A: 0.831 vgg: 0.492 D_P: 0.284 
(epoch: 8, iters: 488, time: 0.232) D_A: 0.289 G_A: 1.173 vgg: 0.272 D_P: 0.216 
(epoch: 8, iters: 588, time: 0.232) D_A: 0.368 G_A: 0.985 vgg: 0.848 D_P: 0.323 
(epoch: 8, iters: 688, time: 0.557) D_A: 0.561 G_A: 0.900 vgg: 0.478 D_P: 0.325 
(epoch: 8, iters: 788, time: 0.232) D_A: 0.406 G_A: 0.977 vgg: 0.296 D_P: 0.270 
(epoch: 8, iters: 888, time: 0.231) D_A: 0.300 G_A: 1.209 vgg: 0.555 D_P: 0.243 
(epoch: 8, iters: 988, time: 0.505) D_A: 0.263 G_A: 1.673 vgg: 0.869 D_P: 0.220 
End of epoch 8 / 200 	 Time Taken: 232 sec
(epoch: 9, iters: 72, time: 0.232) D_A: 0.277 G_A: 1.701 vgg: 1.143 D_P: 0.161 
(epoch: 9, iters: 172, time: 0.232) D_A: 0.424 G_A: 0.826 vgg: 0.238 D_P: 0.307 
(epoch: 9, iters: 272, time: 0.616) D_A: 0.342 G_A: 1.165 vgg: 0.314 D_P: 0.232 
(epoch: 9, iters: 372, time: 0.233) D_A: 0.264 G_A: 1.450 vgg: 0.353 D_P: 0.208 
(epoch: 9, iters: 472, time: 0.232) D_A: 0.362 G_A: 2.365 vgg: 0.390 D_P: 0.176 
(epoch: 9, iters: 572, time: 0.543) D_A: 0.386 G_A: 1.025 vgg: 1.218 D_P: 0.313 
(epoch: 9, iters: 672, time: 0.232) D_A: 0.329 G_A: 1.057 vgg: 0.276 D_P: 0.260 
(epoch: 9, iters: 772, time: 0.231) D_A: 0.321 G_A: 1.256 vgg: 0.577 D_P: 0.227 
(epoch: 9, iters: 872, time: 0.589) D_A: 0.285 G_A: 1.255 vgg: 0.409 D_P: 0.221 
(epoch: 9, iters: 972, time: 0.232) D_A: 0.425 G_A: 2.426 vgg: 0.278 D_P: 0.140 
End of epoch 9 / 200 	 Time Taken: 232 sec
(epoch: 10, iters: 56, time: 0.231) D_A: 0.409 G_A: 1.026 vgg: 0.264 D_P: 0.210 
(epoch: 10, iters: 156, time: 0.568) D_A: 0.275 G_A: 1.892 vgg: 0.296 D_P: 0.146 
(epoch: 10, iters: 256, time: 0.232) D_A: 0.489 G_A: 0.856 vgg: 0.517 D_P: 0.226 
(epoch: 10, iters: 356, time: 0.232) D_A: 0.354 G_A: 1.096 vgg: 0.287 D_P: 0.188 
(epoch: 10, iters: 456, time: 0.549) D_A: 0.467 G_A: 0.866 vgg: 0.777 D_P: 0.207 
(epoch: 10, iters: 556, time: 0.231) D_A: 0.433 G_A: 0.907 vgg: 0.619 D_P: 0.259 
(epoch: 10, iters: 656, time: 0.232) D_A: 0.611 G_A: 0.831 vgg: 1.192 D_P: 0.303 
(epoch: 10, iters: 756, time: 0.542) D_A: 0.375 G_A: 2.163 vgg: 0.478 D_P: 0.196 
(epoch: 10, iters: 856, time: 0.233) D_A: 0.257 G_A: 1.670 vgg: 0.408 D_P: 0.117 
saving the latest model (epoch 10, total_steps 10000)
(epoch: 10, iters: 956, time: 0.231) D_A: 0.383 G_A: 0.887 vgg: 0.347 D_P: 0.274 
saving the model at the end of epoch 10, iters 10160
End of epoch 10 / 200 	 Time Taken: 233 sec
(epoch: 11, iters: 40, time: 0.595) D_A: 0.314 G_A: 1.312 vgg: 0.439 D_P: 0.313 
(epoch: 11, iters: 140, time: 0.232) D_A: 0.274 G_A: 1.407 vgg: 0.738 D_P: 0.231 
(epoch: 11, iters: 240, time: 0.232) D_A: 0.271 G_A: 1.747 vgg: 0.262 D_P: 0.128 
(epoch: 11, iters: 340, time: 0.573) D_A: 0.442 G_A: 0.941 vgg: 0.463 D_P: 0.243 
(epoch: 11, iters: 440, time: 0.232) D_A: 0.269 G_A: 1.889 vgg: 0.227 D_P: 0.095 
(epoch: 11, iters: 540, time: 0.232) D_A: 0.570 G_A: 0.800 vgg: 0.117 D_P: 0.229 
(epoch: 11, iters: 640, time: 0.591) D_A: 0.622 G_A: 0.699 vgg: 0.362 D_P: 0.347 
(epoch: 11, iters: 740, time: 0.232) D_A: 0.285 G_A: 1.311 vgg: 0.244 D_P: 0.240 
(epoch: 11, iters: 840, time: 0.232) D_A: 0.275 G_A: 1.744 vgg: 0.991 D_P: 0.147 
(epoch: 11, iters: 940, time: 0.523) D_A: 0.260 G_A: 1.512 vgg: 0.432 D_P: 0.106 
End of epoch 11 / 200 	 Time Taken: 232 sec
(epoch: 12, iters: 24, time: 0.232) D_A: 0.303 G_A: 1.147 vgg: 0.781 D_P: 0.217 
(epoch: 12, iters: 124, time: 0.232) D_A: 0.323 G_A: 1.295 vgg: 0.957 D_P: 0.161 
(epoch: 12, iters: 224, time: 0.563) D_A: 0.269 G_A: 1.727 vgg: 0.516 D_P: 0.143 
(epoch: 12, iters: 324, time: 0.232) D_A: 0.376 G_A: 0.836 vgg: 0.362 D_P: 0.363 
(epoch: 12, iters: 424, time: 0.232) D_A: 0.290 G_A: 1.264 vgg: 0.276 D_P: 0.198 
(epoch: 12, iters: 524, time: 0.566) D_A: 0.343 G_A: 1.127 vgg: 0.163 D_P: 0.187 
(epoch: 12, iters: 624, time: 0.233) D_A: 0.457 G_A: 1.197 vgg: 0.475 D_P: 0.188 
(epoch: 12, iters: 724, time: 0.233) D_A: 0.494 G_A: 0.732 vgg: 0.346 D_P: 0.399 
(epoch: 12, iters: 824, time: 0.539) D_A: 0.278 G_A: 1.411 vgg: 0.802 D_P: 0.174 
(epoch: 12, iters: 924, time: 0.233) D_A: 0.291 G_A: 1.594 vgg: 0.527 D_P: 0.216 
End of epoch 12 / 200 	 Time Taken: 232 sec
(epoch: 13, iters: 8, time: 0.232) D_A: 0.577 G_A: 0.772 vgg: 0.346 D_P: 0.362 
(epoch: 13, iters: 108, time: 0.537) D_A: 0.493 G_A: 0.939 vgg: 0.213 D_P: 0.229 
(epoch: 13, iters: 208, time: 0.232) D_A: 0.317 G_A: 1.164 vgg: 0.257 D_P: 0.254 
(epoch: 13, iters: 308, time: 0.231) D_A: 0.289 G_A: 1.303 vgg: 0.900 D_P: 0.188 
(epoch: 13, iters: 408, time: 0.521) D_A: 0.279 G_A: 1.379 vgg: 0.422 D_P: 0.242 
(epoch: 13, iters: 508, time: 0.231) D_A: 0.506 G_A: 0.775 vgg: 0.419 D_P: 0.296 
(epoch: 13, iters: 608, time: 0.232) D_A: 0.283 G_A: 1.551 vgg: 0.362 D_P: 0.155 
(epoch: 13, iters: 708, time: 0.598) D_A: 0.418 G_A: 0.770 vgg: 0.300 D_P: 0.282 
(epoch: 13, iters: 808, time: 0.231) D_A: 0.268 G_A: 1.754 vgg: 0.171 D_P: 0.131 
(epoch: 13, iters: 908, time: 0.232) D_A: 0.444 G_A: 1.140 vgg: 0.308 D_P: 0.208 
(epoch: 13, iters: 1008, time: 0.560) D_A: 0.336 G_A: 1.253 vgg: 0.398 D_P: 0.219 
End of epoch 13 / 200 	 Time Taken: 232 sec
(epoch: 14, iters: 92, time: 0.232) D_A: 0.264 G_A: 1.551 vgg: 0.405 D_P: 0.157 
(epoch: 14, iters: 192, time: 0.231) D_A: 0.333 G_A: 1.027 vgg: 0.390 D_P: 0.284 
(epoch: 14, iters: 292, time: 0.509) D_A: 0.352 G_A: 1.147 vgg: 0.872 D_P: 0.167 
(epoch: 14, iters: 392, time: 0.232) D_A: 0.347 G_A: 2.184 vgg: 0.298 D_P: 0.134 
(epoch: 14, iters: 492, time: 0.232) D_A: 0.304 G_A: 1.224 vgg: 0.318 D_P: 0.279 
(epoch: 14, iters: 592, time: 0.548) D_A: 0.347 G_A: 1.229 vgg: 0.917 D_P: 0.237 
(epoch: 14, iters: 692, time: 0.233) D_A: 0.412 G_A: 0.949 vgg: 0.507 D_P: 0.255 
(epoch: 14, iters: 792, time: 0.232) D_A: 0.263 G_A: 1.655 vgg: 0.298 D_P: 0.173 
(epoch: 14, iters: 892, time: 0.506) D_A: 0.332 G_A: 1.103 vgg: 0.284 D_P: 0.324 
(epoch: 14, iters: 992, time: 0.231) D_A: 0.265 G_A: 1.392 vgg: 0.282 D_P: 0.136 
End of epoch 14 / 200 	 Time Taken: 232 sec
(epoch: 15, iters: 76, time: 0.232) D_A: 0.387 G_A: 0.996 vgg: 0.288 D_P: 0.342 
(epoch: 15, iters: 176, time: 0.604) D_A: 0.336 G_A: 1.306 vgg: 0.477 D_P: 0.166 
(epoch: 15, iters: 276, time: 0.232) D_A: 0.266 G_A: 1.625 vgg: 0.367 D_P: 0.190 
(epoch: 15, iters: 376, time: 0.232) D_A: 0.352 G_A: 1.058 vgg: 0.573 D_P: 0.249 
(epoch: 15, iters: 476, time: 0.542) D_A: 0.348 G_A: 1.177 vgg: 0.305 D_P: 0.272 
(epoch: 15, iters: 576, time: 0.232) D_A: 0.515 G_A: 0.868 vgg: 0.276 D_P: 0.286 
(epoch: 15, iters: 676, time: 0.232) D_A: 0.419 G_A: 0.940 vgg: 0.347 D_P: 0.284 
(epoch: 15, iters: 776, time: 0.547) D_A: 0.268 G_A: 1.471 vgg: 0.559 D_P: 0.235 
saving the latest model (epoch 15, total_steps 15000)
(epoch: 15, iters: 876, time: 0.231) D_A: 0.272 G_A: 1.500 vgg: 0.584 D_P: 0.209 
(epoch: 15, iters: 976, time: 0.232) D_A: 0.315 G_A: 1.212 vgg: 0.264 D_P: 0.183 
saving the model at the end of epoch 15, iters 15240
End of epoch 15 / 200 	 Time Taken: 234 sec
(epoch: 16, iters: 60, time: 0.627) D_A: 0.440 G_A: 0.996 vgg: 0.170 D_P: 0.459 
(epoch: 16, iters: 160, time: 0.232) D_A: 0.344 G_A: 1.272 vgg: 0.600 D_P: 0.228 
(epoch: 16, iters: 260, time: 0.232) D_A: 0.269 G_A: 1.894 vgg: 0.186 D_P: 0.084 
(epoch: 16, iters: 360, time: 0.557) D_A: 0.390 G_A: 1.206 vgg: 0.224 D_P: 0.151 
(epoch: 16, iters: 460, time: 0.231) D_A: 0.360 G_A: 1.114 vgg: 0.456 D_P: 0.184 
(epoch: 16, iters: 560, time: 0.232) D_A: 0.372 G_A: 1.087 vgg: 0.428 D_P: 0.231 
(epoch: 16, iters: 660, time: 0.548) D_A: 0.270 G_A: 1.908 vgg: 0.395 D_P: 0.145 
(epoch: 16, iters: 760, time: 0.233) D_A: 0.268 G_A: 1.433 vgg: 0.386 D_P: 0.249 
(epoch: 16, iters: 860, time: 0.231) D_A: 0.397 G_A: 0.827 vgg: 0.228 D_P: 0.298 
(epoch: 16, iters: 960, time: 0.520) D_A: 0.343 G_A: 1.226 vgg: 1.084 D_P: 0.179 
End of epoch 16 / 200 	 Time Taken: 231 sec
(epoch: 17, iters: 44, time: 0.232) D_A: 0.286 G_A: 1.942 vgg: 0.800 D_P: 0.214 
(epoch: 17, iters: 144, time: 0.233) D_A: 0.289 G_A: 1.856 vgg: 0.884 D_P: 0.237 
(epoch: 17, iters: 244, time: 0.488) D_A: 0.259 G_A: 1.474 vgg: 0.348 D_P: 0.258 
(epoch: 17, iters: 344, time: 0.233) D_A: 0.485 G_A: 0.911 vgg: 0.453 D_P: 0.302 
(epoch: 17, iters: 444, time: 0.232) D_A: 0.282 G_A: 1.734 vgg: 0.662 D_P: 0.228 
(epoch: 17, iters: 544, time: 0.527) D_A: 0.603 G_A: 0.683 vgg: 0.391 D_P: 0.264 
(epoch: 17, iters: 644, time: 0.232) D_A: 0.403 G_A: 1.075 vgg: 0.574 D_P: 0.328 
(epoch: 17, iters: 744, time: 0.233) D_A: 0.292 G_A: 2.071 vgg: 0.592 D_P: 0.120 
(epoch: 17, iters: 844, time: 0.591) D_A: 0.322 G_A: 1.314 vgg: 0.244 D_P: 0.162 
(epoch: 17, iters: 944, time: 0.232) D_A: 0.397 G_A: 1.041 vgg: 0.637 D_P: 0.323 
End of epoch 17 / 200 	 Time Taken: 232 sec
(epoch: 18, iters: 28, time: 0.232) D_A: 0.322 G_A: 1.360 vgg: 0.721 D_P: 0.178 
(epoch: 18, iters: 128, time: 0.534) D_A: 0.268 G_A: 1.734 vgg: 0.483 D_P: 0.194 
(epoch: 18, iters: 228, time: 0.232) D_A: 0.367 G_A: 1.084 vgg: 0.666 D_P: 0.285 
(epoch: 18, iters: 328, time: 0.233) D_A: 0.269 G_A: 1.625 vgg: 0.283 D_P: 0.154 
(epoch: 18, iters: 428, time: 0.590) D_A: 0.335 G_A: 1.049 vgg: 0.483 D_P: 0.191 
(epoch: 18, iters: 528, time: 0.232) D_A: 0.402 G_A: 0.894 vgg: 0.334 D_P: 0.325 
(epoch: 18, iters: 628, time: 0.232) D_A: 0.264 G_A: 1.558 vgg: 0.731 D_P: 0.123 
(epoch: 18, iters: 728, time: 0.519) D_A: 0.257 G_A: 1.560 vgg: 0.291 D_P: 0.152 
(epoch: 18, iters: 828, time: 0.232) D_A: 0.430 G_A: 2.457 vgg: 0.402 D_P: 0.185 
(epoch: 18, iters: 928, time: 0.232) D_A: 0.276 G_A: 1.340 vgg: 0.612 D_P: 0.331 
End of epoch 18 / 200 	 Time Taken: 232 sec
(epoch: 19, iters: 12, time: 0.560) D_A: 0.639 G_A: 0.742 vgg: 0.458 D_P: 0.396 
(epoch: 19, iters: 112, time: 0.232) D_A: 0.270 G_A: 1.870 vgg: 0.398 D_P: 0.149 
(epoch: 19, iters: 212, time: 0.232) D_A: 0.333 G_A: 1.108 vgg: 0.292 D_P: 0.226 
(epoch: 19, iters: 312, time: 0.585) D_A: 0.269 G_A: 1.502 vgg: 0.235 D_P: 0.262 
(epoch: 19, iters: 412, time: 0.232) D_A: 0.327 G_A: 1.149 vgg: 0.391 D_P: 0.287 
(epoch: 19, iters: 512, time: 0.233) D_A: 0.345 G_A: 1.231 vgg: 1.225 D_P: 0.289 
(epoch: 19, iters: 612, time: 0.555) D_A: 0.451 G_A: 1.015 vgg: 0.438 D_P: 0.315 
(epoch: 19, iters: 712, time: 0.231) D_A: 0.279 G_A: 2.000 vgg: 0.472 D_P: 0.077 
(epoch: 19, iters: 812, time: 0.232) D_A: 0.269 G_A: 1.683 vgg: 0.890 D_P: 0.127 
(epoch: 19, iters: 912, time: 0.547) D_A: 0.497 G_A: 0.726 vgg: 0.640 D_P: 0.373 
(epoch: 19, iters: 1012, time: 0.232) D_A: 0.428 G_A: 0.971 vgg: 0.712 D_P: 0.356 
End of epoch 19 / 200 	 Time Taken: 232 sec
(epoch: 20, iters: 96, time: 0.231) D_A: 0.274 G_A: 1.722 vgg: 0.323 D_P: 0.151 
(epoch: 20, iters: 196, time: 0.630) D_A: 0.272 G_A: 1.787 vgg: 0.627 D_P: 0.139 
(epoch: 20, iters: 296, time: 0.231) D_A: 0.345 G_A: 2.372 vgg: 0.380 D_P: 0.077 
(epoch: 20, iters: 396, time: 0.232) D_A: 0.376 G_A: 1.149 vgg: 0.320 D_P: 0.236 
(epoch: 20, iters: 496, time: 0.555) D_A: 0.270 G_A: 1.760 vgg: 0.702 D_P: 0.151 
(epoch: 20, iters: 596, time: 0.232) D_A: 0.263 G_A: 1.617 vgg: 1.277 D_P: 0.307 
(epoch: 20, iters: 696, time: 0.232) D_A: 0.261 G_A: 1.529 vgg: 0.735 D_P: 0.128 
saving the latest model (epoch 20, total_steps 20000)
(epoch: 20, iters: 796, time: 0.587) D_A: 0.282 G_A: 1.410 vgg: 0.289 D_P: 0.217 
(epoch: 20, iters: 896, time: 0.232) D_A: 0.293 G_A: 1.975 vgg: 0.507 D_P: 0.164 
(epoch: 20, iters: 996, time: 0.232) D_A: 0.284 G_A: 1.413 vgg: 0.326 D_P: 0.204 
saving the model at the end of epoch 20, iters 20320
End of epoch 20 / 200 	 Time Taken: 234 sec
(epoch: 21, iters: 80, time: 0.588) D_A: 0.338 G_A: 1.192 vgg: 0.417 D_P: 0.231 
(epoch: 21, iters: 180, time: 0.231) D_A: 0.261 G_A: 1.731 vgg: 0.371 D_P: 0.195 
(epoch: 21, iters: 280, time: 0.231) D_A: 0.323 G_A: 1.183 vgg: 0.384 D_P: 0.216 
(epoch: 21, iters: 380, time: 0.499) D_A: 0.335 G_A: 2.280 vgg: 0.528 D_P: 0.150 
(epoch: 21, iters: 480, time: 0.232) D_A: 0.269 G_A: 1.363 vgg: 0.236 D_P: 0.220 
(epoch: 21, iters: 580, time: 0.232) D_A: 0.379 G_A: 1.144 vgg: 0.522 D_P: 0.170 
(epoch: 21, iters: 680, time: 0.538) D_A: 0.393 G_A: 1.118 vgg: 0.419 D_P: 0.241 
(epoch: 21, iters: 780, time: 0.232) D_A: 0.308 G_A: 1.841 vgg: 0.309 D_P: 0.212 
(epoch: 21, iters: 880, time: 0.232) D_A: 0.288 G_A: 1.444 vgg: 0.623 D_P: 0.209 
(epoch: 21, iters: 980, time: 0.527) D_A: 0.269 G_A: 1.716 vgg: 0.553 D_P: 0.169 
End of epoch 21 / 200 	 Time Taken: 232 sec
(epoch: 22, iters: 64, time: 0.232) D_A: 0.289 G_A: 1.342 vgg: 0.173 D_P: 0.168 
(epoch: 22, iters: 164, time: 0.231) D_A: 0.377 G_A: 1.090 vgg: 0.375 D_P: 0.300 
(epoch: 22, iters: 264, time: 0.697) D_A: 0.305 G_A: 1.155 vgg: 0.169 D_P: 0.238 
(epoch: 22, iters: 364, time: 0.232) D_A: 0.294 G_A: 1.576 vgg: 0.247 D_P: 0.194 
(epoch: 22, iters: 464, time: 0.231) D_A: 0.270 G_A: 1.472 vgg: 0.453 D_P: 0.296 
(epoch: 22, iters: 564, time: 0.598) D_A: 0.270 G_A: 1.629 vgg: 0.398 D_P: 0.258 
(epoch: 22, iters: 664, time: 0.231) D_A: 0.310 G_A: 1.127 vgg: 0.293 D_P: 0.234 
(epoch: 22, iters: 764, time: 0.232) D_A: 0.262 G_A: 1.699 vgg: 0.446 D_P: 0.134 
(epoch: 22, iters: 864, time: 0.591) D_A: 0.392 G_A: 1.043 vgg: 0.326 D_P: 0.237 
(epoch: 22, iters: 964, time: 0.232) D_A: 0.264 G_A: 1.316 vgg: 0.185 D_P: 0.246 
End of epoch 22 / 200 	 Time Taken: 232 sec
(epoch: 23, iters: 48, time: 0.232) D_A: 0.275 G_A: 1.493 vgg: 0.511 D_P: 0.162 
(epoch: 23, iters: 148, time: 0.610) D_A: 0.282 G_A: 1.240 vgg: 0.284 D_P: 0.220 
(epoch: 23, iters: 248, time: 0.232) D_A: 0.281 G_A: 1.696 vgg: 0.396 D_P: 0.186 
(epoch: 23, iters: 348, time: 0.232) D_A: 0.298 G_A: 2.017 vgg: 0.688 D_P: 0.161 
(epoch: 23, iters: 448, time: 0.574) D_A: 0.293 G_A: 1.191 vgg: 0.277 D_P: 0.195 
(epoch: 23, iters: 548, time: 0.232) D_A: 0.269 G_A: 1.595 vgg: 0.385 D_P: 0.115 
(epoch: 23, iters: 648, time: 0.233) D_A: 0.273 G_A: 1.472 vgg: 0.715 D_P: 0.213 
(epoch: 23, iters: 748, time: 0.564) D_A: 0.277 G_A: 1.428 vgg: 0.334 D_P: 0.194 
(epoch: 23, iters: 848, time: 0.232) D_A: 0.274 G_A: 1.738 vgg: 0.733 D_P: 0.251 
(epoch: 23, iters: 948, time: 0.232) D_A: 0.310 G_A: 1.221 vgg: 0.567 D_P: 0.191 
End of epoch 23 / 200 	 Time Taken: 232 sec
(epoch: 24, iters: 32, time: 0.540) D_A: 0.311 G_A: 1.311 vgg: 0.466 D_P: 0.127 
(epoch: 24, iters: 132, time: 0.232) D_A: 0.270 G_A: 1.777 vgg: 0.312 D_P: 0.091 
(epoch: 24, iters: 232, time: 0.232) D_A: 0.354 G_A: 1.118 vgg: 0.299 D_P: 0.181 
(epoch: 24, iters: 332, time: 0.538) D_A: 0.304 G_A: 1.403 vgg: 0.512 D_P: 0.302 
(epoch: 24, iters: 432, time: 0.232) D_A: 0.358 G_A: 1.045 vgg: 0.266 D_P: 0.365 
(epoch: 24, iters: 532, time: 0.232) D_A: 0.288 G_A: 1.811 vgg: 0.518 D_P: 0.134 
(epoch: 24, iters: 632, time: 0.539) D_A: 0.659 G_A: 0.763 vgg: 0.539 D_P: 0.375 
(epoch: 24, iters: 732, time: 0.232) D_A: 0.276 G_A: 1.419 vgg: 0.392 D_P: 0.240 
(epoch: 24, iters: 832, time: 0.232) D_A: 0.294 G_A: 1.189 vgg: 0.557 D_P: 0.234 
(epoch: 24, iters: 932, time: 0.544) D_A: 0.288 G_A: 1.855 vgg: 0.396 D_P: 0.259 
End of epoch 24 / 200 	 Time Taken: 232 sec
(epoch: 25, iters: 16, time: 0.231) D_A: 0.284 G_A: 1.466 vgg: 0.362 D_P: 0.290 
(epoch: 25, iters: 116, time: 0.232) D_A: 0.279 G_A: 1.377 vgg: 0.291 D_P: 0.180 
(epoch: 25, iters: 216, time: 0.588) D_A: 0.394 G_A: 1.097 vgg: 0.275 D_P: 0.259 
(epoch: 25, iters: 316, time: 0.232) D_A: 0.276 G_A: 1.697 vgg: 0.419 D_P: 0.162 
(epoch: 25, iters: 416, time: 0.232) D_A: 0.276 G_A: 1.845 vgg: 0.383 D_P: 0.190 
(epoch: 25, iters: 516, time: 0.614) D_A: 0.286 G_A: 1.349 vgg: 0.361 D_P: 0.188 
(epoch: 25, iters: 616, time: 0.232) D_A: 0.292 G_A: 1.925 vgg: 0.340 D_P: 0.162 
saving the latest model (epoch 25, total_steps 25000)
(epoch: 25, iters: 716, time: 0.233) D_A: 0.371 G_A: 1.195 vgg: 0.312 D_P: 0.102 
(epoch: 25, iters: 816, time: 0.502) D_A: 0.335 G_A: 1.192 vgg: 0.408 D_P: 0.214 
(epoch: 25, iters: 916, time: 0.232) D_A: 0.266 G_A: 1.517 vgg: 0.514 D_P: 0.113 
(epoch: 25, iters: 1016, time: 0.231) D_A: 0.261 G_A: 1.540 vgg: 0.308 D_P: 0.300 
saving the model at the end of epoch 25, iters 25400
End of epoch 25 / 200 	 Time Taken: 234 sec
(epoch: 26, iters: 100, time: 0.594) D_A: 0.279 G_A: 1.424 vgg: 1.184 D_P: 0.345 
(epoch: 26, iters: 200, time: 0.231) D_A: 0.272 G_A: 1.855 vgg: 0.371 D_P: 0.130 
(epoch: 26, iters: 300, time: 0.232) D_A: 0.277 G_A: 1.597 vgg: 0.952 D_P: 0.143 
(epoch: 26, iters: 400, time: 0.546) D_A: 0.263 G_A: 1.761 vgg: 0.726 D_P: 0.193 
(epoch: 26, iters: 500, time: 0.232) D_A: 0.315 G_A: 1.273 vgg: 0.655 D_P: 0.210 
(epoch: 26, iters: 600, time: 0.232) D_A: 0.297 G_A: 1.851 vgg: 0.430 D_P: 0.164 
(epoch: 26, iters: 700, time: 0.507) D_A: 0.327 G_A: 1.229 vgg: 0.858 D_P: 0.253 
(epoch: 26, iters: 800, time: 0.232) D_A: 0.308 G_A: 1.225 vgg: 0.229 D_P: 0.309 
(epoch: 26, iters: 900, time: 0.231) D_A: 0.290 G_A: 2.005 vgg: 0.326 D_P: 0.137 
(epoch: 26, iters: 1000, time: 0.605) D_A: 0.293 G_A: 2.245 vgg: 0.265 D_P: 0.095 
End of epoch 26 / 200 	 Time Taken: 232 sec
(epoch: 27, iters: 84, time: 0.232) D_A: 0.258 G_A: 1.505 vgg: 0.369 D_P: 0.221 
(epoch: 27, iters: 184, time: 0.232) D_A: 0.293 G_A: 1.337 vgg: 0.407 D_P: 0.207 
(epoch: 27, iters: 284, time: 0.524) D_A: 0.337 G_A: 1.421 vgg: 0.387 D_P: 0.320 
(epoch: 27, iters: 384, time: 0.232) D_A: 0.431 G_A: 0.952 vgg: 0.268 D_P: 0.306 
(epoch: 27, iters: 484, time: 0.231) D_A: 0.312 G_A: 1.260 vgg: 0.272 D_P: 0.225 
(epoch: 27, iters: 584, time: 0.520) D_A: 0.335 G_A: 1.225 vgg: 0.583 D_P: 0.235 
(epoch: 27, iters: 684, time: 0.231) D_A: 0.405 G_A: 1.275 vgg: 0.939 D_P: 0.164 
(epoch: 27, iters: 784, time: 0.232) D_A: 0.356 G_A: 1.094 vgg: 0.287 D_P: 0.234 
(epoch: 27, iters: 884, time: 0.518) D_A: 0.304 G_A: 1.378 vgg: 0.384 D_P: 0.188 
(epoch: 27, iters: 984, time: 0.232) D_A: 0.277 G_A: 1.991 vgg: 0.257 D_P: 0.097 
End of epoch 27 / 200 	 Time Taken: 232 sec
(epoch: 28, iters: 68, time: 0.233) D_A: 0.262 G_A: 1.492 vgg: 0.825 D_P: 0.226 
(epoch: 28, iters: 168, time: 0.614) D_A: 0.283 G_A: 1.311 vgg: 0.357 D_P: 0.117 
(epoch: 28, iters: 268, time: 0.232) D_A: 0.281 G_A: 1.905 vgg: 0.425 D_P: 0.230 
(epoch: 28, iters: 368, time: 0.232) D_A: 0.289 G_A: 2.119 vgg: 0.402 D_P: 0.216 
(epoch: 28, iters: 468, time: 0.544) D_A: 0.296 G_A: 1.262 vgg: 0.296 D_P: 0.145 
(epoch: 28, iters: 568, time: 0.232) D_A: 0.277 G_A: 1.517 vgg: 0.296 D_P: 0.187 
(epoch: 28, iters: 668, time: 0.232) D_A: 0.411 G_A: 0.976 vgg: 0.603 D_P: 0.350 
(epoch: 28, iters: 768, time: 0.619) D_A: 0.277 G_A: 1.584 vgg: 0.296 D_P: 0.189 
(epoch: 28, iters: 868, time: 0.232) D_A: 0.299 G_A: 1.185 vgg: 0.269 D_P: 0.184 
(epoch: 28, iters: 968, time: 0.233) D_A: 0.275 G_A: 1.592 vgg: 0.721 D_P: 0.121 
End of epoch 28 / 200 	 Time Taken: 233 sec
(epoch: 29, iters: 52, time: 0.561) D_A: 0.265 G_A: 1.535 vgg: 0.347 D_P: 0.220 
(epoch: 29, iters: 152, time: 0.231) D_A: 0.269 G_A: 1.685 vgg: 0.775 D_P: 0.288 
(epoch: 29, iters: 252, time: 0.233) D_A: 0.282 G_A: 1.452 vgg: 0.497 D_P: 0.192 
(epoch: 29, iters: 352, time: 0.586) D_A: 0.328 G_A: 1.289 vgg: 0.336 D_P: 0.247 
(epoch: 29, iters: 452, time: 0.232) D_A: 0.284 G_A: 1.454 vgg: 0.495 D_P: 0.143 
(epoch: 29, iters: 552, time: 0.231) D_A: 0.413 G_A: 1.033 vgg: 0.706 D_P: 0.226 
(epoch: 29, iters: 652, time: 0.603) D_A: 0.308 G_A: 1.116 vgg: 0.273 D_P: 0.226 
(epoch: 29, iters: 752, time: 0.231) D_A: 0.264 G_A: 1.766 vgg: 0.157 D_P: 0.272 
(epoch: 29, iters: 852, time: 0.231) D_A: 0.275 G_A: 1.297 vgg: 0.296 D_P: 0.250 
(epoch: 29, iters: 952, time: 0.546) D_A: 0.330 G_A: 1.110 vgg: 0.605 D_P: 0.301 
End of epoch 29 / 200 	 Time Taken: 232 sec
(epoch: 30, iters: 36, time: 0.232) D_A: 0.301 G_A: 1.386 vgg: 0.783 D_P: 0.118 
(epoch: 30, iters: 136, time: 0.231) D_A: 0.300 G_A: 1.670 vgg: 0.803 D_P: 0.261 
(epoch: 30, iters: 236, time: 0.611) D_A: 0.272 G_A: 1.486 vgg: 0.484 D_P: 0.160 
(epoch: 30, iters: 336, time: 0.232) D_A: 0.281 G_A: 1.419 vgg: 0.510 D_P: 0.231 
(epoch: 30, iters: 436, time: 0.232) D_A: 0.308 G_A: 1.441 vgg: 0.745 D_P: 0.171 
(epoch: 30, iters: 536, time: 0.579) D_A: 0.310 G_A: 1.195 vgg: 0.402 D_P: 0.326 
saving the latest model (epoch 30, total_steps 30000)
(epoch: 30, iters: 636, time: 0.231) D_A: 0.278 G_A: 2.144 vgg: 0.544 D_P: 0.169 
(epoch: 30, iters: 736, time: 0.232) D_A: 0.272 G_A: 1.439 vgg: 0.304 D_P: 0.169 
(epoch: 30, iters: 836, time: 0.537) D_A: 0.279 G_A: 1.639 vgg: 1.215 D_P: 0.233 
(epoch: 30, iters: 936, time: 0.232) D_A: 0.278 G_A: 1.367 vgg: 0.485 D_P: 0.272 
saving the model at the end of epoch 30, iters 30480
End of epoch 30 / 200 	 Time Taken: 234 sec
(epoch: 31, iters: 20, time: 0.231) D_A: 0.288 G_A: 1.137 vgg: 0.405 D_P: 0.298 
(epoch: 31, iters: 120, time: 0.619) D_A: 0.263 G_A: 1.682 vgg: 0.246 D_P: 0.187 
(epoch: 31, iters: 220, time: 0.232) D_A: 0.314 G_A: 1.206 vgg: 0.563 D_P: 0.228 
(epoch: 31, iters: 320, time: 0.232) D_A: 0.346 G_A: 2.312 vgg: 0.337 D_P: 0.171 
(epoch: 31, iters: 420, time: 0.637) D_A: 0.393 G_A: 0.721 vgg: 0.208 D_P: 0.526 
(epoch: 31, iters: 520, time: 0.231) D_A: 0.277 G_A: 1.333 vgg: 0.283 D_P: 0.194 
(epoch: 31, iters: 620, time: 0.232) D_A: 0.338 G_A: 1.170 vgg: 0.519 D_P: 0.231 
(epoch: 31, iters: 720, time: 0.568) D_A: 0.302 G_A: 1.316 vgg: 0.341 D_P: 0.223 
(epoch: 31, iters: 820, time: 0.233) D_A: 0.269 G_A: 1.839 vgg: 0.372 D_P: 0.173 
(epoch: 31, iters: 920, time: 0.232) D_A: 0.262 G_A: 1.641 vgg: 0.688 D_P: 0.176 
End of epoch 31 / 200 	 Time Taken: 233 sec
(epoch: 32, iters: 4, time: 0.504) D_A: 0.292 G_A: 1.288 vgg: 0.920 D_P: 0.239 
(epoch: 32, iters: 104, time: 0.232) D_A: 0.285 G_A: 1.247 vgg: 0.225 D_P: 0.163 
(epoch: 32, iters: 204, time: 0.232) D_A: 0.293 G_A: 1.336 vgg: 0.462 D_P: 0.201 
(epoch: 32, iters: 304, time: 0.690) D_A: 0.314 G_A: 1.269 vgg: 0.513 D_P: 0.234 
(epoch: 32, iters: 404, time: 0.232) D_A: 0.262 G_A: 1.635 vgg: 0.555 D_P: 0.156 
(epoch: 32, iters: 504, time: 0.232) D_A: 0.295 G_A: 1.894 vgg: 0.302 D_P: 0.163 
(epoch: 32, iters: 604, time: 0.524) D_A: 0.266 G_A: 1.663 vgg: 0.704 D_P: 0.141 
(epoch: 32, iters: 704, time: 0.232) D_A: 0.297 G_A: 1.213 vgg: 0.311 D_P: 0.260 
(epoch: 32, iters: 804, time: 0.232) D_A: 0.267 G_A: 1.490 vgg: 0.411 D_P: 0.299 
(epoch: 32, iters: 904, time: 0.613) D_A: 0.306 G_A: 1.055 vgg: 0.620 D_P: 0.257 
(epoch: 32, iters: 1004, time: 0.232) D_A: 0.277 G_A: 1.533 vgg: 0.333 D_P: 0.249 
End of epoch 32 / 200 	 Time Taken: 232 sec
(epoch: 33, iters: 88, time: 0.231) D_A: 0.350 G_A: 1.003 vgg: 0.283 D_P: 0.232 
(epoch: 33, iters: 188, time: 0.552) D_A: 0.272 G_A: 1.377 vgg: 0.488 D_P: 0.316 
(epoch: 33, iters: 288, time: 0.231) D_A: 0.258 G_A: 1.567 vgg: 0.415 D_P: 0.150 
(epoch: 33, iters: 388, time: 0.232) D_A: 0.281 G_A: 1.280 vgg: 0.313 D_P: 0.192 
(epoch: 33, iters: 488, time: 0.569) D_A: 0.281 G_A: 1.258 vgg: 0.411 D_P: 0.230 
(epoch: 33, iters: 588, time: 0.233) D_A: 0.267 G_A: 1.787 vgg: 0.649 D_P: 0.124 
(epoch: 33, iters: 688, time: 0.232) D_A: 0.274 G_A: 1.838 vgg: 0.407 D_P: 0.153 
(epoch: 33, iters: 788, time: 0.592) D_A: 0.267 G_A: 1.413 vgg: 0.595 D_P: 0.266 
(epoch: 33, iters: 888, time: 0.232) D_A: 0.277 G_A: 1.991 vgg: 0.472 D_P: 0.072 
(epoch: 33, iters: 988, time: 0.232) D_A: 0.284 G_A: 1.504 vgg: 0.265 D_P: 0.192 
End of epoch 33 / 200 	 Time Taken: 233 sec
(epoch: 34, iters: 72, time: 0.566) D_A: 0.267 G_A: 1.433 vgg: 0.382 D_P: 0.340 
(epoch: 34, iters: 172, time: 0.232) D_A: 0.281 G_A: 1.988 vgg: 0.811 D_P: 0.183 
(epoch: 34, iters: 272, time: 0.232) D_A: 0.261 G_A: 1.651 vgg: 0.332 D_P: 0.124 
(epoch: 34, iters: 372, time: 0.528) D_A: 0.300 G_A: 1.245 vgg: 0.194 D_P: 0.424 
(epoch: 34, iters: 472, time: 0.233) D_A: 0.286 G_A: 1.566 vgg: 0.373 D_P: 0.233 
(epoch: 34, iters: 572, time: 0.233) D_A: 0.273 G_A: 1.837 vgg: 0.241 D_P: 0.205 
(epoch: 34, iters: 672, time: 0.554) D_A: 0.328 G_A: 0.971 vgg: 0.503 D_P: 0.282 
(epoch: 34, iters: 772, time: 0.232) D_A: 0.574 G_A: 0.882 vgg: 0.627 D_P: 0.149 
(epoch: 34, iters: 872, time: 0.232) D_A: 0.303 G_A: 1.588 vgg: 0.206 D_P: 0.261 
(epoch: 34, iters: 972, time: 0.582) D_A: 0.263 G_A: 1.433 vgg: 0.270 D_P: 0.260 
End of epoch 34 / 200 	 Time Taken: 232 sec
(epoch: 35, iters: 56, time: 0.232) D_A: 0.321 G_A: 1.231 vgg: 0.626 D_P: 0.164 
(epoch: 35, iters: 156, time: 0.232) D_A: 0.264 G_A: 1.620 vgg: 0.704 D_P: 0.241 
(epoch: 35, iters: 256, time: 0.572) D_A: 0.266 G_A: 1.588 vgg: 0.786 D_P: 0.265 
(epoch: 35, iters: 356, time: 0.232) D_A: 0.278 G_A: 1.590 vgg: 0.261 D_P: 0.230 
(epoch: 35, iters: 456, time: 0.232) D_A: 0.272 G_A: 1.699 vgg: 0.946 D_P: 0.070 
saving the latest model (epoch 35, total_steps 35000)
(epoch: 35, iters: 556, time: 0.616) D_A: 0.345 G_A: 1.134 vgg: 0.308 D_P: 0.301 
(epoch: 35, iters: 656, time: 0.232) D_A: 0.273 G_A: 1.354 vgg: 0.268 D_P: 0.344 
(epoch: 35, iters: 756, time: 0.232) D_A: 0.289 G_A: 1.217 vgg: 0.273 D_P: 0.339 
(epoch: 35, iters: 856, time: 0.608) D_A: 0.296 G_A: 1.248 vgg: 0.308 D_P: 0.303 
(epoch: 35, iters: 956, time: 0.233) D_A: 0.345 G_A: 0.914 vgg: 0.250 D_P: 0.303 
saving the model at the end of epoch 35, iters 35560
End of epoch 35 / 200 	 Time Taken: 234 sec
(epoch: 36, iters: 40, time: 0.232) D_A: 0.261 G_A: 1.499 vgg: 0.326 D_P: 0.210 
(epoch: 36, iters: 140, time: 0.483) D_A: 0.287 G_A: 1.548 vgg: 1.239 D_P: 0.294 
(epoch: 36, iters: 240, time: 0.232) D_A: 0.268 G_A: 1.561 vgg: 0.427 D_P: 0.173 
(epoch: 36, iters: 340, time: 0.231) D_A: 0.271 G_A: 1.788 vgg: 0.216 D_P: 0.169 
(epoch: 36, iters: 440, time: 0.611) D_A: 0.295 G_A: 1.902 vgg: 0.671 D_P: 0.109 
(epoch: 36, iters: 540, time: 0.232) D_A: 0.275 G_A: 1.681 vgg: 0.297 D_P: 0.213 
(epoch: 36, iters: 640, time: 0.233) D_A: 0.265 G_A: 1.681 vgg: 0.225 D_P: 0.230 
(epoch: 36, iters: 740, time: 0.559) D_A: 0.292 G_A: 1.249 vgg: 0.742 D_P: 0.319 
(epoch: 36, iters: 840, time: 0.232) D_A: 0.377 G_A: 1.056 vgg: 0.616 D_P: 0.286 
(epoch: 36, iters: 940, time: 0.232) D_A: 0.261 G_A: 1.490 vgg: 0.342 D_P: 0.328 
End of epoch 36 / 200 	 Time Taken: 233 sec
(epoch: 37, iters: 24, time: 0.604) D_A: 0.305 G_A: 1.248 vgg: 0.301 D_P: 0.441 
(epoch: 37, iters: 124, time: 0.232) D_A: 0.286 G_A: 1.433 vgg: 0.670 D_P: 0.247 
(epoch: 37, iters: 224, time: 0.231) D_A: 0.429 G_A: 0.792 vgg: 0.369 D_P: 0.441 
(epoch: 37, iters: 324, time: 0.525) D_A: 0.299 G_A: 1.489 vgg: 0.436 D_P: 0.141 
(epoch: 37, iters: 424, time: 0.232) D_A: 0.278 G_A: 1.610 vgg: 0.466 D_P: 0.100 
(epoch: 37, iters: 524, time: 0.231) D_A: 0.283 G_A: 1.402 vgg: 0.265 D_P: 0.153 
(epoch: 37, iters: 624, time: 0.601) D_A: 0.263 G_A: 1.410 vgg: 0.375 D_P: 0.210 
(epoch: 37, iters: 724, time: 0.233) D_A: 0.279 G_A: 1.477 vgg: 0.508 D_P: 0.294 
(epoch: 37, iters: 824, time: 0.232) D_A: 0.273 G_A: 1.372 vgg: 0.278 D_P: 0.208 
(epoch: 37, iters: 924, time: 0.615) D_A: 0.324 G_A: 1.031 vgg: 0.298 D_P: 0.182 
End of epoch 37 / 200 	 Time Taken: 233 sec
(epoch: 38, iters: 8, time: 0.233) D_A: 0.266 G_A: 1.693 vgg: 0.246 D_P: 0.148 
(epoch: 38, iters: 108, time: 0.232) D_A: 0.279 G_A: 1.462 vgg: 0.365 D_P: 0.188 
(epoch: 38, iters: 208, time: 0.581) D_A: 0.394 G_A: 1.105 vgg: 0.285 D_P: 0.228 
(epoch: 38, iters: 308, time: 0.232) D_A: 0.260 G_A: 1.766 vgg: 0.387 D_P: 0.182 
(epoch: 38, iters: 408, time: 0.232) D_A: 0.259 G_A: 1.678 vgg: 0.436 D_P: 0.223 
(epoch: 38, iters: 508, time: 0.576) D_A: 0.262 G_A: 1.388 vgg: 0.326 D_P: 0.256 
(epoch: 38, iters: 608, time: 0.232) D_A: 0.280 G_A: 1.921 vgg: 0.783 D_P: 0.133 
(epoch: 38, iters: 708, time: 0.232) D_A: 0.260 G_A: 1.684 vgg: 0.402 D_P: 0.111 
(epoch: 38, iters: 808, time: 0.591) D_A: 0.258 G_A: 1.526 vgg: 0.410 D_P: 0.282 
(epoch: 38, iters: 908, time: 0.231) D_A: 0.292 G_A: 1.957 vgg: 1.243 D_P: 0.263 
(epoch: 38, iters: 1008, time: 0.232) D_A: 0.288 G_A: 1.892 vgg: 0.817 D_P: 0.175 
End of epoch 38 / 200 	 Time Taken: 233 sec
(epoch: 39, iters: 92, time: 0.597) D_A: 0.313 G_A: 1.210 vgg: 0.454 D_P: 0.208 
(epoch: 39, iters: 192, time: 0.232) D_A: 0.290 G_A: 1.472 vgg: 0.573 D_P: 0.199 
(epoch: 39, iters: 292, time: 0.233) D_A: 0.281 G_A: 1.431 vgg: 0.580 D_P: 0.122 
(epoch: 39, iters: 392, time: 0.533) D_A: 0.262 G_A: 1.779 vgg: 0.602 D_P: 0.112 
(epoch: 39, iters: 492, time: 0.232) D_A: 0.272 G_A: 1.386 vgg: 0.744 D_P: 0.183 
(epoch: 39, iters: 592, time: 0.232) D_A: 0.274 G_A: 1.594 vgg: 0.375 D_P: 0.255 
(epoch: 39, iters: 692, time: 0.633) D_A: 0.297 G_A: 1.394 vgg: 0.273 D_P: 0.171 
(epoch: 39, iters: 792, time: 0.232) D_A: 0.269 G_A: 1.563 vgg: 0.512 D_P: 0.208 
(epoch: 39, iters: 892, time: 0.231) D_A: 0.298 G_A: 2.108 vgg: 0.278 D_P: 0.201 
(epoch: 39, iters: 992, time: 0.641) D_A: 0.302 G_A: 1.199 vgg: 0.328 D_P: 0.244 
End of epoch 39 / 200 	 Time Taken: 232 sec
(epoch: 40, iters: 76, time: 0.232) D_A: 0.260 G_A: 1.600 vgg: 0.276 D_P: 0.377 
(epoch: 40, iters: 176, time: 0.231) D_A: 0.283 G_A: 1.543 vgg: 0.619 D_P: 0.176 
(epoch: 40, iters: 276, time: 0.567) D_A: 0.339 G_A: 1.199 vgg: 0.367 D_P: 0.289 
(epoch: 40, iters: 376, time: 0.231) D_A: 0.274 G_A: 1.453 vgg: 0.341 D_P: 0.326 
saving the latest model (epoch 40, total_steps 40000)
(epoch: 40, iters: 476, time: 0.232) D_A: 0.474 G_A: 1.054 vgg: 0.635 D_P: 0.202 
(epoch: 40, iters: 576, time: 0.689) D_A: 0.265 G_A: 1.628 vgg: 0.403 D_P: 0.188 
(epoch: 40, iters: 676, time: 0.233) D_A: 0.274 G_A: 1.474 vgg: 0.238 D_P: 0.199 
(epoch: 40, iters: 776, time: 0.232) D_A: 0.316 G_A: 1.338 vgg: 0.710 D_P: 0.272 
(epoch: 40, iters: 876, time: 0.554) D_A: 0.268 G_A: 1.549 vgg: 1.205 D_P: 0.172 
(epoch: 40, iters: 976, time: 0.231) D_A: 0.280 G_A: 1.347 vgg: 0.230 D_P: 0.308 
saving the model at the end of epoch 40, iters 40640
End of epoch 40 / 200 	 Time Taken: 234 sec
(epoch: 41, iters: 60, time: 0.232) D_A: 0.259 G_A: 1.482 vgg: 0.629 D_P: 0.135 
(epoch: 41, iters: 160, time: 0.564) D_A: 0.264 G_A: 1.858 vgg: 0.333 D_P: 0.179 
(epoch: 41, iters: 260, time: 0.232) D_A: 0.262 G_A: 1.438 vgg: 0.349 D_P: 0.193 
(epoch: 41, iters: 360, time: 0.231) D_A: 0.263 G_A: 1.454 vgg: 0.945 D_P: 0.141 
(epoch: 41, iters: 460, time: 0.554) D_A: 0.275 G_A: 1.283 vgg: 0.447 D_P: 0.298 
(epoch: 41, iters: 560, time: 0.231) D_A: 0.264 G_A: 1.779 vgg: 0.385 D_P: 0.166 
(epoch: 41, iters: 660, time: 0.232) D_A: 0.290 G_A: 1.359 vgg: 0.997 D_P: 0.211 
(epoch: 41, iters: 760, time: 0.600) D_A: 0.344 G_A: 1.003 vgg: 0.412 D_P: 0.251 
(epoch: 41, iters: 860, time: 0.232) D_A: 0.268 G_A: 1.554 vgg: 0.240 D_P: 0.106 
(epoch: 41, iters: 960, time: 0.232) D_A: 0.263 G_A: 1.507 vgg: 0.177 D_P: 0.458 
End of epoch 41 / 200 	 Time Taken: 233 sec
(epoch: 42, iters: 44, time: 0.662) D_A: 0.285 G_A: 2.054 vgg: 0.753 D_P: 0.266 
(epoch: 42, iters: 144, time: 0.232) D_A: 0.275 G_A: 1.970 vgg: 0.740 D_P: 0.117 
(epoch: 42, iters: 244, time: 0.231) D_A: 0.270 G_A: 1.500 vgg: 0.356 D_P: 0.266 
(epoch: 42, iters: 344, time: 0.551) D_A: 0.260 G_A: 1.672 vgg: 0.287 D_P: 0.104 
(epoch: 42, iters: 444, time: 0.232) D_A: 0.264 G_A: 1.664 vgg: 0.495 D_P: 0.111 
(epoch: 42, iters: 544, time: 0.233) D_A: 0.258 G_A: 1.584 vgg: 0.202 D_P: 0.172 
(epoch: 42, iters: 644, time: 0.642) D_A: 0.295 G_A: 1.242 vgg: 0.489 D_P: 0.150 
(epoch: 42, iters: 744, time: 0.231) D_A: 0.276 G_A: 1.421 vgg: 0.386 D_P: 0.317 
(epoch: 42, iters: 844, time: 0.232) D_A: 0.268 G_A: 1.683 vgg: 0.665 D_P: 0.152 
(epoch: 42, iters: 944, time: 0.546) D_A: 0.273 G_A: 1.519 vgg: 0.471 D_P: 0.202 
End of epoch 42 / 200 	 Time Taken: 233 sec
(epoch: 43, iters: 28, time: 0.232) D_A: 0.258 G_A: 1.694 vgg: 0.329 D_P: 0.319 
(epoch: 43, iters: 128, time: 0.231) D_A: 0.285 G_A: 1.301 vgg: 0.554 D_P: 0.432 
(epoch: 43, iters: 228, time: 0.554) D_A: 0.258 G_A: 1.588 vgg: 0.514 D_P: 0.186 
(epoch: 43, iters: 328, time: 0.232) D_A: 0.272 G_A: 1.668 vgg: 0.542 D_P: 0.278 
(epoch: 43, iters: 428, time: 0.232) D_A: 0.259 G_A: 1.627 vgg: 0.338 D_P: 0.194 
(epoch: 43, iters: 528, time: 0.562) D_A: 0.259 G_A: 1.443 vgg: 0.409 D_P: 0.265 
(epoch: 43, iters: 628, time: 0.232) D_A: 0.262 G_A: 1.461 vgg: 0.644 D_P: 0.251 
(epoch: 43, iters: 728, time: 0.232) D_A: 0.260 G_A: 1.583 vgg: 0.319 D_P: 0.401 
(epoch: 43, iters: 828, time: 0.563) D_A: 0.261 G_A: 1.763 vgg: 0.493 D_P: 0.073 
(epoch: 43, iters: 928, time: 0.231) D_A: 0.260 G_A: 1.845 vgg: 0.655 D_P: 0.181 
End of epoch 43 / 200 	 Time Taken: 233 sec
(epoch: 44, iters: 12, time: 0.231) D_A: 0.281 G_A: 1.441 vgg: 0.594 D_P: 0.189 
(epoch: 44, iters: 112, time: 0.636) D_A: 0.272 G_A: 1.459 vgg: 0.265 D_P: 0.199 
(epoch: 44, iters: 212, time: 0.231) D_A: 0.333 G_A: 1.126 vgg: 0.179 D_P: 0.186 
(epoch: 44, iters: 312, time: 0.231) D_A: 0.260 G_A: 1.746 vgg: 0.520 D_P: 0.104 
(epoch: 44, iters: 412, time: 0.665) D_A: 0.260 G_A: 1.544 vgg: 0.557 D_P: 0.326 
(epoch: 44, iters: 512, time: 0.232) D_A: 0.261 G_A: 1.866 vgg: 0.318 D_P: 0.175 
(epoch: 44, iters: 612, time: 0.232) D_A: 0.277 G_A: 1.330 vgg: 0.313 D_P: 0.164 
(epoch: 44, iters: 712, time: 0.619) D_A: 0.272 G_A: 1.535 vgg: 0.350 D_P: 0.268 
(epoch: 44, iters: 812, time: 0.232) D_A: 0.267 G_A: 1.796 vgg: 0.360 D_P: 0.282 
(epoch: 44, iters: 912, time: 0.232) D_A: 0.268 G_A: 1.502 vgg: 0.265 D_P: 0.205 
(epoch: 44, iters: 1012, time: 0.653) D_A: 0.302 G_A: 1.254 vgg: 0.662 D_P: 0.308 
End of epoch 44 / 200 	 Time Taken: 233 sec
(epoch: 45, iters: 96, time: 0.232) D_A: 0.280 G_A: 1.266 vgg: 0.329 D_P: 0.209 
(epoch: 45, iters: 196, time: 0.231) D_A: 0.278 G_A: 1.334 vgg: 0.626 D_P: 0.206 
(epoch: 45, iters: 296, time: 0.536) D_A: 0.264 G_A: 1.602 vgg: 0.413 D_P: 0.188 
saving the latest model (epoch 45, total_steps 45000)
(epoch: 45, iters: 396, time: 0.231) D_A: 0.284 G_A: 1.264 vgg: 0.163 D_P: 0.255 
(epoch: 45, iters: 496, time: 0.231) D_A: 0.261 G_A: 1.647 vgg: 0.305 D_P: 0.146 
(epoch: 45, iters: 596, time: 0.551) D_A: 0.268 G_A: 1.738 vgg: 0.565 D_P: 0.263 
(epoch: 45, iters: 696, time: 0.232) D_A: 0.281 G_A: 1.455 vgg: 0.669 D_P: 0.248 
(epoch: 45, iters: 796, time: 0.232) D_A: 0.261 G_A: 1.747 vgg: 0.296 D_P: 0.134 
(epoch: 45, iters: 896, time: 0.553) D_A: 0.263 G_A: 1.724 vgg: 1.151 D_P: 0.240 
(epoch: 45, iters: 996, time: 0.231) D_A: 0.281 G_A: 1.572 vgg: 0.861 D_P: 0.155 
saving the model at the end of epoch 45, iters 45720
End of epoch 45 / 200 	 Time Taken: 234 sec
(epoch: 46, iters: 80, time: 0.232) D_A: 0.262 G_A: 1.473 vgg: 0.280 D_P: 0.392 
(epoch: 46, iters: 180, time: 0.568) D_A: 0.265 G_A: 1.675 vgg: 0.429 D_P: 0.292 
(epoch: 46, iters: 280, time: 0.231) D_A: 0.304 G_A: 1.267 vgg: 0.415 D_P: 0.206 
(epoch: 46, iters: 380, time: 0.232) D_A: 0.275 G_A: 1.340 vgg: 0.510 D_P: 0.329 
(epoch: 46, iters: 480, time: 0.596) D_A: 0.263 G_A: 1.540 vgg: 0.337 D_P: 0.210 
(epoch: 46, iters: 580, time: 0.233) D_A: 0.257 G_A: 1.736 vgg: 0.289 D_P: 0.142 
(epoch: 46, iters: 680, time: 0.231) D_A: 0.265 G_A: 1.765 vgg: 0.302 D_P: 0.222 
(epoch: 46, iters: 780, time: 0.654) D_A: 0.267 G_A: 1.255 vgg: 0.282 D_P: 0.316 
(epoch: 46, iters: 880, time: 0.231) D_A: 0.259 G_A: 1.737 vgg: 0.371 D_P: 0.108 
(epoch: 46, iters: 980, time: 0.231) D_A: 0.334 G_A: 0.949 vgg: 0.374 D_P: 0.236 
End of epoch 46 / 200 	 Time Taken: 232 sec
(epoch: 47, iters: 64, time: 0.571) D_A: 0.262 G_A: 1.416 vgg: 0.299 D_P: 0.228 
(epoch: 47, iters: 164, time: 0.232) D_A: 0.310 G_A: 1.036 vgg: 0.226 D_P: 0.345 
(epoch: 47, iters: 264, time: 0.232) D_A: 0.290 G_A: 1.299 vgg: 0.279 D_P: 0.173 
(epoch: 47, iters: 364, time: 0.549) D_A: 0.281 G_A: 1.971 vgg: 1.035 D_P: 0.107 
(epoch: 47, iters: 464, time: 0.232) D_A: 0.262 G_A: 1.751 vgg: 0.475 D_P: 0.239 
(epoch: 47, iters: 564, time: 0.231) D_A: 0.263 G_A: 1.695 vgg: 0.174 D_P: 0.147 
(epoch: 47, iters: 664, time: 0.650) D_A: 0.256 G_A: 1.684 vgg: 0.386 D_P: 0.224 
(epoch: 47, iters: 764, time: 0.231) D_A: 0.269 G_A: 1.679 vgg: 0.516 D_P: 0.339 
(epoch: 47, iters: 864, time: 0.232) D_A: 0.335 G_A: 1.165 vgg: 0.510 D_P: 0.153 
(epoch: 47, iters: 964, time: 0.601) D_A: 0.264 G_A: 1.372 vgg: 0.359 D_P: 0.263 
End of epoch 47 / 200 	 Time Taken: 232 sec
(epoch: 48, iters: 48, time: 0.232) D_A: 0.255 G_A: 1.649 vgg: 0.295 D_P: 0.167 
(epoch: 48, iters: 148, time: 0.232) D_A: 0.264 G_A: 1.639 vgg: 0.250 D_P: 0.152 
(epoch: 48, iters: 248, time: 0.649) D_A: 0.295 G_A: 1.305 vgg: 0.142 D_P: 0.239 
(epoch: 48, iters: 348, time: 0.232) D_A: 0.262 G_A: 1.834 vgg: 0.338 D_P: 0.087 
(epoch: 48, iters: 448, time: 0.232) D_A: 0.257 G_A: 1.639 vgg: 0.259 D_P: 0.125 
(epoch: 48, iters: 548, time: 0.603) D_A: 0.277 G_A: 1.362 vgg: 0.739 D_P: 0.235 
(epoch: 48, iters: 648, time: 0.232) D_A: 0.262 G_A: 1.403 vgg: 0.185 D_P: 0.243 
(epoch: 48, iters: 748, time: 0.231) D_A: 0.285 G_A: 1.178 vgg: 0.376 D_P: 0.212 
(epoch: 48, iters: 848, time: 0.627) D_A: 0.302 G_A: 1.265 vgg: 0.266 D_P: 0.181 
(epoch: 48, iters: 948, time: 0.232) D_A: 0.268 G_A: 1.610 vgg: 0.503 D_P: 0.133 
End of epoch 48 / 200 	 Time Taken: 233 sec
(epoch: 49, iters: 32, time: 0.231) D_A: 0.267 G_A: 1.585 vgg: 0.242 D_P: 0.231 
(epoch: 49, iters: 132, time: 0.553) D_A: 0.264 G_A: 1.628 vgg: 0.492 D_P: 0.150 
(epoch: 49, iters: 232, time: 0.232) D_A: 0.267 G_A: 1.907 vgg: 0.144 D_P: 0.153 
(epoch: 49, iters: 332, time: 0.231) D_A: 0.261 G_A: 1.838 vgg: 0.450 D_P: 0.203 
(epoch: 49, iters: 432, time: 0.593) D_A: 0.255 G_A: 1.761 vgg: 0.380 D_P: 0.105 
(epoch: 49, iters: 532, time: 0.232) D_A: 0.281 G_A: 1.228 vgg: 0.524 D_P: 0.299 
(epoch: 49, iters: 632, time: 0.232) D_A: 0.346 G_A: 1.035 vgg: 0.383 D_P: 0.298 
(epoch: 49, iters: 732, time: 0.630) D_A: 0.263 G_A: 1.607 vgg: 0.212 D_P: 0.104 
(epoch: 49, iters: 832, time: 0.232) D_A: 0.273 G_A: 1.422 vgg: 0.341 D_P: 0.217 
(epoch: 49, iters: 932, time: 0.232) D_A: 0.266 G_A: 1.444 vgg: 0.632 D_P: 0.181 
End of epoch 49 / 200 	 Time Taken: 233 sec
(epoch: 50, iters: 16, time: 0.628) D_A: 0.370 G_A: 1.055 vgg: 0.206 D_P: 0.255 
(epoch: 50, iters: 116, time: 0.232) D_A: 0.280 G_A: 1.944 vgg: 0.411 D_P: 0.164 
(epoch: 50, iters: 216, time: 0.232) D_A: 0.277 G_A: 1.309 vgg: 0.496 D_P: 0.237 
saving the latest model (epoch 50, total_steps 50000)
(epoch: 50, iters: 316, time: 0.592) D_A: 0.271 G_A: 1.754 vgg: 0.329 D_P: 0.219 
(epoch: 50, iters: 416, time: 0.234) D_A: 0.266 G_A: 1.587 vgg: 0.628 D_P: 0.263 
(epoch: 50, iters: 516, time: 0.231) D_A: 0.265 G_A: 1.411 vgg: 0.270 D_P: 0.276 
(epoch: 50, iters: 616, time: 0.621) D_A: 0.265 G_A: 1.638 vgg: 0.194 D_P: 0.130 
(epoch: 50, iters: 716, time: 0.233) D_A: 0.261 G_A: 1.639 vgg: 1.208 D_P: 0.261 
(epoch: 50, iters: 816, time: 0.232) D_A: 0.258 G_A: 1.812 vgg: 0.574 D_P: 0.131 
(epoch: 50, iters: 916, time: 0.556) D_A: 0.257 G_A: 1.677 vgg: 0.553 D_P: 0.279 
(epoch: 50, iters: 1016, time: 0.232) D_A: 0.257 G_A: 1.574 vgg: 0.234 D_P: 0.246 
saving the model at the end of epoch 50, iters 50800
End of epoch 50 / 200 	 Time Taken: 236 sec
(epoch: 51, iters: 100, time: 0.231) D_A: 0.264 G_A: 1.622 vgg: 0.266 D_P: 0.242 
(epoch: 51, iters: 200, time: 0.609) D_A: 0.300 G_A: 1.291 vgg: 0.288 D_P: 0.220 
(epoch: 51, iters: 300, time: 0.232) D_A: 0.264 G_A: 1.580 vgg: 0.394 D_P: 0.217 
(epoch: 51, iters: 400, time: 0.232) D_A: 0.263 G_A: 1.711 vgg: 0.276 D_P: 0.268 
(epoch: 51, iters: 500, time: 0.579) D_A: 0.302 G_A: 1.375 vgg: 0.272 D_P: 0.148 
(epoch: 51, iters: 600, time: 0.232) D_A: 0.261 G_A: 1.432 vgg: 0.519 D_P: 0.159 
(epoch: 51, iters: 700, time: 0.232) D_A: 0.266 G_A: 1.666 vgg: 0.841 D_P: 0.255 
(epoch: 51, iters: 800, time: 0.628) D_A: 0.254 G_A: 1.596 vgg: 0.391 D_P: 0.126 
(epoch: 51, iters: 900, time: 0.232) D_A: 0.264 G_A: 1.764 vgg: 0.172 D_P: 0.133 
(epoch: 51, iters: 1000, time: 0.232) D_A: 0.267 G_A: 1.894 vgg: 0.658 D_P: 0.154 
End of epoch 51 / 200 	 Time Taken: 233 sec
(epoch: 52, iters: 84, time: 0.577) D_A: 0.292 G_A: 1.411 vgg: 0.303 D_P: 0.298 
(epoch: 52, iters: 184, time: 0.232) D_A: 0.259 G_A: 1.531 vgg: 0.265 D_P: 0.225 
(epoch: 52, iters: 284, time: 0.232) D_A: 0.260 G_A: 1.864 vgg: 0.225 D_P: 0.145 
(epoch: 52, iters: 384, time: 0.592) D_A: 0.343 G_A: 1.301 vgg: 0.408 D_P: 0.205 
(epoch: 52, iters: 484, time: 0.232) D_A: 0.257 G_A: 1.994 vgg: 0.326 D_P: 0.069 
(epoch: 52, iters: 584, time: 0.231) D_A: 0.267 G_A: 1.876 vgg: 0.553 D_P: 0.120 
(epoch: 52, iters: 684, time: 0.559) D_A: 0.293 G_A: 1.300 vgg: 0.412 D_P: 0.197 
(epoch: 52, iters: 784, time: 0.231) D_A: 0.259 G_A: 1.514 vgg: 0.508 D_P: 0.249 
(epoch: 52, iters: 884, time: 0.232) D_A: 0.255 G_A: 1.717 vgg: 0.341 D_P: 0.189 
(epoch: 52, iters: 984, time: 0.558) D_A: 0.270 G_A: 1.641 vgg: 0.392 D_P: 0.305 
End of epoch 52 / 200 	 Time Taken: 233 sec
(epoch: 53, iters: 68, time: 0.231) D_A: 0.268 G_A: 1.301 vgg: 0.330 D_P: 0.332 
(epoch: 53, iters: 168, time: 0.232) D_A: 0.265 G_A: 1.644 vgg: 0.201 D_P: 0.219 
(epoch: 53, iters: 268, time: 0.537) D_A: 0.273 G_A: 1.322 vgg: 0.436 D_P: 0.223 
(epoch: 53, iters: 368, time: 0.231) D_A: 0.265 G_A: 1.602 vgg: 1.178 D_P: 0.164 
(epoch: 53, iters: 468, time: 0.232) D_A: 0.267 G_A: 2.016 vgg: 0.359 D_P: 0.104 
(epoch: 53, iters: 568, time: 0.583) D_A: 0.274 G_A: 1.465 vgg: 0.344 D_P: 0.133 
(epoch: 53, iters: 668, time: 0.232) D_A: 0.268 G_A: 1.876 vgg: 0.202 D_P: 0.193 
(epoch: 53, iters: 768, time: 0.232) D_A: 0.264 G_A: 1.721 vgg: 0.562 D_P: 0.195 
(epoch: 53, iters: 868, time: 0.610) D_A: 0.265 G_A: 1.435 vgg: 0.185 D_P: 0.306 
(epoch: 53, iters: 968, time: 0.232) D_A: 0.289 G_A: 1.177 vgg: 0.203 D_P: 0.216 
End of epoch 53 / 200 	 Time Taken: 233 sec
(epoch: 54, iters: 52, time: 0.232) D_A: 0.288 G_A: 1.646 vgg: 0.716 D_P: 0.137 
(epoch: 54, iters: 152, time: 0.635) D_A: 0.308 G_A: 1.186 vgg: 0.635 D_P: 0.186 
(epoch: 54, iters: 252, time: 0.232) D_A: 0.274 G_A: 1.322 vgg: 0.172 D_P: 0.332 
(epoch: 54, iters: 352, time: 0.231) D_A: 0.277 G_A: 1.441 vgg: 0.307 D_P: 0.184 
(epoch: 54, iters: 452, time: 0.663) D_A: 0.279 G_A: 1.891 vgg: 0.180 D_P: 0.180 
(epoch: 54, iters: 552, time: 0.232) D_A: 0.271 G_A: 1.510 vgg: 0.399 D_P: 0.137 
(epoch: 54, iters: 652, time: 0.232) D_A: 0.271 G_A: 1.586 vgg: 0.334 D_P: 0.118 
(epoch: 54, iters: 752, time: 0.599) D_A: 0.262 G_A: 1.544 vgg: 0.384 D_P: 0.294 
(epoch: 54, iters: 852, time: 0.232) D_A: 0.266 G_A: 1.734 vgg: 0.378 D_P: 0.524 
(epoch: 54, iters: 952, time: 0.232) D_A: 0.256 G_A: 1.658 vgg: 0.173 D_P: 0.277 
End of epoch 54 / 200 	 Time Taken: 233 sec
(epoch: 55, iters: 36, time: 0.629) D_A: 0.269 G_A: 1.427 vgg: 0.288 D_P: 0.172 
(epoch: 55, iters: 136, time: 0.231) D_A: 0.277 G_A: 1.411 vgg: 0.329 D_P: 0.284 
saving the latest model (epoch 55, total_steps 55000)
(epoch: 55, iters: 236, time: 0.232) D_A: 0.325 G_A: 1.347 vgg: 0.782 D_P: 0.140 
(epoch: 55, iters: 336, time: 0.578) D_A: 0.265 G_A: 1.446 vgg: 0.880 D_P: 0.274 
(epoch: 55, iters: 436, time: 0.232) D_A: 0.264 G_A: 1.782 vgg: 0.425 D_P: 0.214 
(epoch: 55, iters: 536, time: 0.232) D_A: 0.262 G_A: 1.546 vgg: 0.400 D_P: 0.204 
(epoch: 55, iters: 636, time: 0.578) D_A: 0.269 G_A: 1.465 vgg: 0.341 D_P: 0.241 
(epoch: 55, iters: 736, time: 0.232) D_A: 0.263 G_A: 1.632 vgg: 0.287 D_P: 0.283 
(epoch: 55, iters: 836, time: 0.231) D_A: 0.261 G_A: 1.514 vgg: 0.453 D_P: 0.296 
(epoch: 55, iters: 936, time: 0.541) D_A: 0.262 G_A: 1.962 vgg: 0.382 D_P: 0.199 
saving the model at the end of epoch 55, iters 55880
End of epoch 55 / 200 	 Time Taken: 235 sec
(epoch: 56, iters: 20, time: 0.232) D_A: 0.256 G_A: 1.744 vgg: 0.399 D_P: 0.172 
(epoch: 56, iters: 120, time: 0.232) D_A: 0.260 G_A: 1.652 vgg: 1.475 D_P: 0.140 
(epoch: 56, iters: 220, time: 0.637) D_A: 0.260 G_A: 1.733 vgg: 0.683 D_P: 0.167 
(epoch: 56, iters: 320, time: 0.232) D_A: 0.282 G_A: 1.407 vgg: 0.722 D_P: 0.326 
(epoch: 56, iters: 420, time: 0.232) D_A: 0.271 G_A: 1.774 vgg: 0.336 D_P: 0.268 
(epoch: 56, iters: 520, time: 0.604) D_A: 0.277 G_A: 1.325 vgg: 0.247 D_P: 0.271 
(epoch: 56, iters: 620, time: 0.232) D_A: 0.259 G_A: 1.693 vgg: 0.528 D_P: 0.259 
(epoch: 56, iters: 720, time: 0.232) D_A: 0.339 G_A: 1.105 vgg: 0.586 D_P: 0.148 
(epoch: 56, iters: 820, time: 0.638) D_A: 0.265 G_A: 1.381 vgg: 0.317 D_P: 0.245 
(epoch: 56, iters: 920, time: 0.232) D_A: 0.271 G_A: 1.505 vgg: 0.585 D_P: 0.127 
End of epoch 56 / 200 	 Time Taken: 233 sec
(epoch: 57, iters: 4, time: 0.232) D_A: 0.276 G_A: 1.253 vgg: 0.421 D_P: 0.179 
(epoch: 57, iters: 104, time: 0.634) D_A: 0.269 G_A: 1.707 vgg: 0.307 D_P: 0.316 
(epoch: 57, iters: 204, time: 0.231) D_A: 0.263 G_A: 1.590 vgg: 0.282 D_P: 0.325 
(epoch: 57, iters: 304, time: 0.231) D_A: 0.288 G_A: 1.416 vgg: 0.510 D_P: 0.186 
(epoch: 57, iters: 404, time: 0.644) D_A: 0.262 G_A: 1.497 vgg: 0.223 D_P: 0.201 
(epoch: 57, iters: 504, time: 0.232) D_A: 0.257 G_A: 1.634 vgg: 0.437 D_P: 0.250 
(epoch: 57, iters: 604, time: 0.231) D_A: 0.291 G_A: 1.879 vgg: 0.168 D_P: 0.292 
(epoch: 57, iters: 704, time: 0.612) D_A: 0.257 G_A: 1.576 vgg: 0.377 D_P: 0.181 
(epoch: 57, iters: 804, time: 0.232) D_A: 0.267 G_A: 1.543 vgg: 0.349 D_P: 0.300 
(epoch: 57, iters: 904, time: 0.232) D_A: 0.260 G_A: 1.538 vgg: 0.475 D_P: 0.278 
(epoch: 57, iters: 1004, time: 0.562) D_A: 0.264 G_A: 1.672 vgg: 0.592 D_P: 0.203 
End of epoch 57 / 200 	 Time Taken: 234 sec
(epoch: 58, iters: 88, time: 0.232) D_A: 0.282 G_A: 1.376 vgg: 0.829 D_P: 0.253 
(epoch: 58, iters: 188, time: 0.231) D_A: 0.260 G_A: 1.668 vgg: 0.415 D_P: 0.294 
(epoch: 58, iters: 288, time: 0.579) D_A: 0.292 G_A: 1.280 vgg: 0.426 D_P: 0.242 
(epoch: 58, iters: 388, time: 0.231) D_A: 0.258 G_A: 1.521 vgg: 0.160 D_P: 0.229 
(epoch: 58, iters: 488, time: 0.232) D_A: 0.255 G_A: 1.537 vgg: 0.304 D_P: 0.249 
(epoch: 58, iters: 588, time: 0.579) D_A: 0.262 G_A: 1.672 vgg: 0.586 D_P: 0.091 
(epoch: 58, iters: 688, time: 0.233) D_A: 0.262 G_A: 1.524 vgg: 0.338 D_P: 0.249 
(epoch: 58, iters: 788, time: 0.232) D_A: 0.279 G_A: 1.778 vgg: 0.207 D_P: 0.199 
(epoch: 58, iters: 888, time: 0.597) D_A: 0.295 G_A: 1.365 vgg: 0.410 D_P: 0.244 
(epoch: 58, iters: 988, time: 0.232) D_A: 0.279 G_A: 1.249 vgg: 0.245 D_P: 0.131 
End of epoch 58 / 200 	 Time Taken: 233 sec
(epoch: 59, iters: 72, time: 0.232) D_A: 0.257 G_A: 1.914 vgg: 0.610 D_P: 0.088 
(epoch: 59, iters: 172, time: 0.654) D_A: 0.274 G_A: 1.377 vgg: 0.179 D_P: 0.087 
(epoch: 59, iters: 272, time: 0.232) D_A: 0.261 G_A: 1.501 vgg: 0.351 D_P: 0.172 
(epoch: 59, iters: 372, time: 0.232) D_A: 0.259 G_A: 1.547 vgg: 0.246 D_P: 0.274 
(epoch: 59, iters: 472, time: 0.588) D_A: 0.266 G_A: 1.710 vgg: 0.946 D_P: 0.219 
(epoch: 59, iters: 572, time: 0.232) D_A: 0.256 G_A: 1.724 vgg: 0.418 D_P: 0.218 
(epoch: 59, iters: 672, time: 0.233) D_A: 0.270 G_A: 1.380 vgg: 0.556 D_P: 0.191 
(epoch: 59, iters: 772, time: 0.635) D_A: 0.273 G_A: 1.426 vgg: 0.330 D_P: 0.235 
(epoch: 59, iters: 872, time: 0.232) D_A: 0.257 G_A: 1.695 vgg: 0.636 D_P: 0.169 
(epoch: 59, iters: 972, time: 0.231) D_A: 0.263 G_A: 1.589 vgg: 0.402 D_P: 0.174 
End of epoch 59 / 200 	 Time Taken: 233 sec
(epoch: 60, iters: 56, time: 0.618) D_A: 0.266 G_A: 1.808 vgg: 0.239 D_P: 0.169 
saving the latest model (epoch 60, total_steps 60000)
(epoch: 60, iters: 156, time: 0.231) D_A: 0.276 G_A: 1.799 vgg: 0.491 D_P: 0.265 
(epoch: 60, iters: 256, time: 0.232) D_A: 0.289 G_A: 2.260 vgg: 0.568 D_P: 0.149 
(epoch: 60, iters: 356, time: 0.624) D_A: 0.271 G_A: 1.513 vgg: 0.486 D_P: 0.234 
(epoch: 60, iters: 456, time: 0.232) D_A: 0.269 G_A: 1.443 vgg: 0.403 D_P: 0.175 
(epoch: 60, iters: 556, time: 0.232) D_A: 0.258 G_A: 1.477 vgg: 0.274 D_P: 0.292 
(epoch: 60, iters: 656, time: 0.583) D_A: 0.299 G_A: 1.268 vgg: 0.399 D_P: 0.240 
(epoch: 60, iters: 756, time: 0.231) D_A: 0.258 G_A: 1.421 vgg: 0.191 D_P: 0.299 
(epoch: 60, iters: 856, time: 0.232) D_A: 0.266 G_A: 1.444 vgg: 0.285 D_P: 0.211 
(epoch: 60, iters: 956, time: 0.587) D_A: 0.263 G_A: 1.605 vgg: 0.449 D_P: 0.327 
saving the model at the end of epoch 60, iters 60960
End of epoch 60 / 200 	 Time Taken: 235 sec
(epoch: 61, iters: 40, time: 0.231) D_A: 0.263 G_A: 1.650 vgg: 0.849 D_P: 0.256 
(epoch: 61, iters: 140, time: 0.231) D_A: 0.255 G_A: 1.586 vgg: 0.599 D_P: 0.165 
(epoch: 61, iters: 240, time: 0.630) D_A: 0.265 G_A: 1.480 vgg: 0.174 D_P: 0.266 
(epoch: 61, iters: 340, time: 0.232) D_A: 0.261 G_A: 1.552 vgg: 0.199 D_P: 0.286 
(epoch: 61, iters: 440, time: 0.232) D_A: 0.265 G_A: 1.530 vgg: 0.586 D_P: 0.215 
(epoch: 61, iters: 540, time: 0.594) D_A: 0.279 G_A: 1.240 vgg: 0.275 D_P: 0.228 
(epoch: 61, iters: 640, time: 0.232) D_A: 0.295 G_A: 1.330 vgg: 0.399 D_P: 0.180 
(epoch: 61, iters: 740, time: 0.232) D_A: 0.265 G_A: 1.726 vgg: 0.666 D_P: 0.158 
(epoch: 61, iters: 840, time: 0.594) D_A: 0.271 G_A: 1.261 vgg: 0.279 D_P: 0.269 
(epoch: 61, iters: 940, time: 0.231) D_A: 0.257 G_A: 1.609 vgg: 0.485 D_P: 0.127 
End of epoch 61 / 200 	 Time Taken: 233 sec
(epoch: 62, iters: 24, time: 0.231) D_A: 0.255 G_A: 1.481 vgg: 0.824 D_P: 0.123 
(epoch: 62, iters: 124, time: 0.637) D_A: 0.268 G_A: 1.459 vgg: 0.454 D_P: 0.183 
(epoch: 62, iters: 224, time: 0.232) D_A: 0.259 G_A: 1.316 vgg: 0.155 D_P: 0.260 
(epoch: 62, iters: 324, time: 0.232) D_A: 0.270 G_A: 1.335 vgg: 0.383 D_P: 0.345 
(epoch: 62, iters: 424, time: 0.580) D_A: 0.254 G_A: 1.645 vgg: 0.424 D_P: 0.092 
(epoch: 62, iters: 524, time: 0.232) D_A: 0.260 G_A: 1.514 vgg: 0.486 D_P: 0.263 
(epoch: 62, iters: 624, time: 0.231) D_A: 0.269 G_A: 1.305 vgg: 0.140 D_P: 0.391 
(epoch: 62, iters: 724, time: 0.599) D_A: 0.281 G_A: 1.600 vgg: 0.398 D_P: 0.242 
(epoch: 62, iters: 824, time: 0.232) D_A: 0.258 G_A: 1.651 vgg: 0.805 D_P: 0.226 
(epoch: 62, iters: 924, time: 0.232) D_A: 0.303 G_A: 1.274 vgg: 0.187 D_P: 0.283 
End of epoch 62 / 200 	 Time Taken: 234 sec
(epoch: 63, iters: 8, time: 0.624) D_A: 0.265 G_A: 1.716 vgg: 1.370 D_P: 0.354 
(epoch: 63, iters: 108, time: 0.232) D_A: 0.265 G_A: 1.718 vgg: 0.335 D_P: 0.239 
(epoch: 63, iters: 208, time: 0.232) D_A: 0.289 G_A: 1.271 vgg: 0.236 D_P: 0.190 
(epoch: 63, iters: 308, time: 0.587) D_A: 0.260 G_A: 1.833 vgg: 0.414 D_P: 0.150 
(epoch: 63, iters: 408, time: 0.231) D_A: 0.262 G_A: 1.522 vgg: 0.399 D_P: 0.197 
(epoch: 63, iters: 508, time: 0.232) D_A: 0.267 G_A: 1.384 vgg: 0.250 D_P: 0.348 
(epoch: 63, iters: 608, time: 0.568) D_A: 0.280 G_A: 1.481 vgg: 0.424 D_P: 0.251 
(epoch: 63, iters: 708, time: 0.232) D_A: 0.260 G_A: 1.440 vgg: 0.171 D_P: 0.325 
(epoch: 63, iters: 808, time: 0.232) D_A: 0.253 G_A: 1.754 vgg: 0.610 D_P: 0.095 
(epoch: 63, iters: 908, time: 0.677) D_A: 0.261 G_A: 1.816 vgg: 0.321 D_P: 0.119 
(epoch: 63, iters: 1008, time: 0.232) D_A: 0.268 G_A: 1.441 vgg: 0.615 D_P: 0.234 
End of epoch 63 / 200 	 Time Taken: 234 sec
(epoch: 64, iters: 92, time: 0.232) D_A: 0.261 G_A: 1.449 vgg: 0.189 D_P: 0.246 
(epoch: 64, iters: 192, time: 0.576) D_A: 0.272 G_A: 1.456 vgg: 0.210 D_P: 0.196 
(epoch: 64, iters: 292, time: 0.232) D_A: 0.270 G_A: 1.930 vgg: 0.461 D_P: 0.222 
(epoch: 64, iters: 392, time: 0.232) D_A: 0.259 G_A: 1.888 vgg: 0.334 D_P: 0.215 
(epoch: 64, iters: 492, time: 0.641) D_A: 0.273 G_A: 1.322 vgg: 0.211 D_P: 0.374 
(epoch: 64, iters: 592, time: 0.232) D_A: 0.283 G_A: 1.255 vgg: 0.481 D_P: 0.207 
(epoch: 64, iters: 692, time: 0.231) D_A: 0.277 G_A: 1.409 vgg: 0.341 D_P: 0.294 
(epoch: 64, iters: 792, time: 0.633) D_A: 0.258 G_A: 1.553 vgg: 0.479 D_P: 0.206 
(epoch: 64, iters: 892, time: 0.232) D_A: 0.277 G_A: 1.927 vgg: 0.771 D_P: 0.134 
(epoch: 64, iters: 992, time: 0.231) D_A: 0.257 G_A: 1.602 vgg: 0.294 D_P: 0.240 
saving the latest model (epoch 64, total_steps 65000)
End of epoch 64 / 200 	 Time Taken: 234 sec
(epoch: 65, iters: 76, time: 0.605) D_A: 0.256 G_A: 1.619 vgg: 0.278 D_P: 0.182 
(epoch: 65, iters: 176, time: 0.231) D_A: 0.267 G_A: 1.379 vgg: 0.419 D_P: 0.221 
(epoch: 65, iters: 276, time: 0.232) D_A: 0.256 G_A: 1.827 vgg: 0.440 D_P: 0.107 
(epoch: 65, iters: 376, time: 0.596) D_A: 0.263 G_A: 1.376 vgg: 0.225 D_P: 0.266 
(epoch: 65, iters: 476, time: 0.232) D_A: 0.258 G_A: 1.846 vgg: 0.392 D_P: 0.111 
(epoch: 65, iters: 576, time: 0.232) D_A: 0.262 G_A: 1.841 vgg: 0.722 D_P: 0.242 
(epoch: 65, iters: 676, time: 0.589) D_A: 0.273 G_A: 1.213 vgg: 0.341 D_P: 0.271 
(epoch: 65, iters: 776, time: 0.230) D_A: 0.273 G_A: 1.452 vgg: 0.166 D_P: 0.271 
(epoch: 65, iters: 876, time: 0.231) D_A: 0.260 G_A: 1.714 vgg: 0.348 D_P: 0.188 
(epoch: 65, iters: 976, time: 0.628) D_A: 0.260 G_A: 1.581 vgg: 0.444 D_P: 0.225 
saving the model at the end of epoch 65, iters 66040
End of epoch 65 / 200 	 Time Taken: 235 sec
(epoch: 66, iters: 60, time: 0.231) D_A: 0.306 G_A: 1.170 vgg: 0.319 D_P: 0.286 
(epoch: 66, iters: 160, time: 0.232) D_A: 0.280 G_A: 1.465 vgg: 0.269 D_P: 0.252 
(epoch: 66, iters: 260, time: 0.679) D_A: 0.254 G_A: 1.633 vgg: 0.223 D_P: 0.154 
(epoch: 66, iters: 360, time: 0.231) D_A: 0.262 G_A: 1.546 vgg: 0.227 D_P: 0.307 
(epoch: 66, iters: 460, time: 0.232) D_A: 0.259 G_A: 1.565 vgg: 0.300 D_P: 0.186 
(epoch: 66, iters: 560, time: 0.592) D_A: 0.256 G_A: 1.468 vgg: 0.483 D_P: 0.258 
(epoch: 66, iters: 660, time: 0.232) D_A: 0.264 G_A: 1.541 vgg: 0.677 D_P: 0.207 
(epoch: 66, iters: 760, time: 0.232) D_A: 0.272 G_A: 1.468 vgg: 0.596 D_P: 0.145 
(epoch: 66, iters: 860, time: 0.698) D_A: 0.265 G_A: 1.540 vgg: 0.241 D_P: 0.284 
(epoch: 66, iters: 960, time: 0.232) D_A: 0.263 G_A: 1.793 vgg: 0.233 D_P: 0.134 
End of epoch 66 / 200 	 Time Taken: 234 sec
(epoch: 67, iters: 44, time: 0.231) D_A: 0.259 G_A: 1.904 vgg: 0.416 D_P: 0.167 
(epoch: 67, iters: 144, time: 0.634) D_A: 0.260 G_A: 1.398 vgg: 0.583 D_P: 0.209 
(epoch: 67, iters: 244, time: 0.232) D_A: 0.254 G_A: 1.758 vgg: 0.167 D_P: 0.119 
(epoch: 67, iters: 344, time: 0.232) D_A: 0.270 G_A: 1.308 vgg: 0.317 D_P: 0.188 
(epoch: 67, iters: 444, time: 0.557) D_A: 0.260 G_A: 1.523 vgg: 0.401 D_P: 0.122 
(epoch: 67, iters: 544, time: 0.231) D_A: 0.283 G_A: 1.918 vgg: 0.163 D_P: 0.262 
(epoch: 67, iters: 644, time: 0.231) D_A: 0.255 G_A: 1.738 vgg: 0.269 D_P: 0.133 
(epoch: 67, iters: 744, time: 0.581) D_A: 0.260 G_A: 1.499 vgg: 0.434 D_P: 0.246 
(epoch: 67, iters: 844, time: 0.231) D_A: 0.268 G_A: 1.571 vgg: 0.760 D_P: 0.239 
(epoch: 67, iters: 944, time: 0.232) D_A: 0.265 G_A: 1.800 vgg: 0.957 D_P: 0.172 
End of epoch 67 / 200 	 Time Taken: 233 sec
(epoch: 68, iters: 28, time: 0.567) D_A: 0.328 G_A: 1.304 vgg: 0.577 D_P: 0.101 
(epoch: 68, iters: 128, time: 0.232) D_A: 0.268 G_A: 1.498 vgg: 0.551 D_P: 0.198 
(epoch: 68, iters: 228, time: 0.231) D_A: 0.281 G_A: 1.380 vgg: 0.263 D_P: 0.185 
(epoch: 68, iters: 328, time: 0.630) D_A: 0.253 G_A: 1.491 vgg: 0.247 D_P: 0.213 
(epoch: 68, iters: 428, time: 0.231) D_A: 0.360 G_A: 1.035 vgg: 0.177 D_P: 0.368 
(epoch: 68, iters: 528, time: 0.231) D_A: 0.257 G_A: 1.578 vgg: 0.535 D_P: 0.182 
(epoch: 68, iters: 628, time: 0.639) D_A: 0.257 G_A: 1.714 vgg: 0.202 D_P: 0.130 
(epoch: 68, iters: 728, time: 0.232) D_A: 0.259 G_A: 1.890 vgg: 0.325 D_P: 0.229 
(epoch: 68, iters: 828, time: 0.232) D_A: 0.260 G_A: 1.526 vgg: 0.295 D_P: 0.170 
(epoch: 68, iters: 928, time: 0.591) D_A: 0.254 G_A: 1.521 vgg: 0.360 D_P: 0.163 
End of epoch 68 / 200 	 Time Taken: 233 sec
(epoch: 69, iters: 12, time: 0.232) D_A: 0.259 G_A: 1.542 vgg: 0.421 D_P: 0.116 
(epoch: 69, iters: 112, time: 0.232) D_A: 0.263 G_A: 1.596 vgg: 0.315 D_P: 0.226 
(epoch: 69, iters: 212, time: 0.596) D_A: 0.261 G_A: 1.682 vgg: 0.328 D_P: 0.189 
(epoch: 69, iters: 312, time: 0.232) D_A: 0.265 G_A: 1.307 vgg: 0.234 D_P: 0.371 
(epoch: 69, iters: 412, time: 0.231) D_A: 0.286 G_A: 1.172 vgg: 0.402 D_P: 0.290 
(epoch: 69, iters: 512, time: 0.621) D_A: 0.260 G_A: 1.476 vgg: 0.345 D_P: 0.203 
(epoch: 69, iters: 612, time: 0.232) D_A: 0.256 G_A: 1.680 vgg: 0.331 D_P: 0.148 
(epoch: 69, iters: 712, time: 0.232) D_A: 0.270 G_A: 1.474 vgg: 0.525 D_P: 0.230 
(epoch: 69, iters: 812, time: 0.649) D_A: 0.259 G_A: 1.697 vgg: 0.242 D_P: 0.209 
(epoch: 69, iters: 912, time: 0.231) D_A: 0.264 G_A: 1.401 vgg: 0.321 D_P: 0.160 
saving the latest model (epoch 69, total_steps 70000)
(epoch: 69, iters: 1012, time: 0.231) D_A: 0.266 G_A: 1.387 vgg: 0.106 D_P: 0.211 
End of epoch 69 / 200 	 Time Taken: 234 sec
(epoch: 70, iters: 96, time: 0.666) D_A: 0.262 G_A: 1.398 vgg: 0.285 D_P: 0.166 
(epoch: 70, iters: 196, time: 0.232) D_A: 0.269 G_A: 1.727 vgg: 0.305 D_P: 0.145 
(epoch: 70, iters: 296, time: 0.231) D_A: 0.298 G_A: 1.135 vgg: 0.324 D_P: 0.287 
(epoch: 70, iters: 396, time: 0.641) D_A: 0.265 G_A: 1.547 vgg: 0.358 D_P: 0.166 
(epoch: 70, iters: 496, time: 0.231) D_A: 0.259 G_A: 1.640 vgg: 0.952 D_P: 0.215 
(epoch: 70, iters: 596, time: 0.231) D_A: 0.294 G_A: 1.187 vgg: 0.343 D_P: 0.273 
(epoch: 70, iters: 696, time: 0.584) D_A: 0.269 G_A: 1.442 vgg: 0.285 D_P: 0.233 
(epoch: 70, iters: 796, time: 0.231) D_A: 0.322 G_A: 0.983 vgg: 0.753 D_P: 0.360 
(epoch: 70, iters: 896, time: 0.232) D_A: 0.262 G_A: 1.651 vgg: 0.502 D_P: 0.142 
(epoch: 70, iters: 996, time: 0.586) D_A: 0.259 G_A: 1.517 vgg: 0.340 D_P: 0.314 
saving the model at the end of epoch 70, iters 71120
End of epoch 70 / 200 	 Time Taken: 235 sec
(epoch: 71, iters: 80, time: 0.232) D_A: 0.256 G_A: 1.767 vgg: 1.013 D_P: 0.097 
(epoch: 71, iters: 180, time: 0.231) D_A: 0.256 G_A: 1.758 vgg: 0.348 D_P: 0.115 
(epoch: 71, iters: 280, time: 0.592) D_A: 0.310 G_A: 1.198 vgg: 0.336 D_P: 0.258 
(epoch: 71, iters: 380, time: 0.231) D_A: 0.259 G_A: 1.691 vgg: 0.181 D_P: 0.207 
(epoch: 71, iters: 480, time: 0.231) D_A: 0.257 G_A: 1.620 vgg: 0.278 D_P: 0.317 
(epoch: 71, iters: 580, time: 0.604) D_A: 0.262 G_A: 1.765 vgg: 0.174 D_P: 0.246 
(epoch: 71, iters: 680, time: 0.231) D_A: 0.288 G_A: 1.607 vgg: 0.419 D_P: 0.293 
(epoch: 71, iters: 780, time: 0.231) D_A: 0.262 G_A: 1.599 vgg: 0.174 D_P: 0.248 
(epoch: 71, iters: 880, time: 0.711) D_A: 0.254 G_A: 1.566 vgg: 0.224 D_P: 0.180 
(epoch: 71, iters: 980, time: 0.232) D_A: 0.270 G_A: 1.492 vgg: 0.390 D_P: 0.267 
End of epoch 71 / 200 	 Time Taken: 234 sec
(epoch: 72, iters: 64, time: 0.232) D_A: 0.261 G_A: 1.418 vgg: 0.207 D_P: 0.278 
(epoch: 72, iters: 164, time: 0.632) D_A: 0.275 G_A: 1.986 vgg: 0.587 D_P: 0.143 
(epoch: 72, iters: 264, time: 0.232) D_A: 0.258 G_A: 1.753 vgg: 0.692 D_P: 0.161 
(epoch: 72, iters: 364, time: 0.232) D_A: 0.255 G_A: 1.416 vgg: 0.191 D_P: 0.353 
(epoch: 72, iters: 464, time: 0.565) D_A: 0.262 G_A: 1.410 vgg: 0.567 D_P: 0.189 
(epoch: 72, iters: 564, time: 0.231) D_A: 0.257 G_A: 1.585 vgg: 0.407 D_P: 0.214 
(epoch: 72, iters: 664, time: 0.231) D_A: 0.255 G_A: 1.601 vgg: 0.289 D_P: 0.155 
(epoch: 72, iters: 764, time: 0.619) D_A: 0.270 G_A: 1.260 vgg: 0.361 D_P: 0.364 
(epoch: 72, iters: 864, time: 0.232) D_A: 0.257 G_A: 1.706 vgg: 0.593 D_P: 0.157 
(epoch: 72, iters: 964, time: 0.232) D_A: 0.262 G_A: 1.608 vgg: 0.515 D_P: 0.177 
End of epoch 72 / 200 	 Time Taken: 233 sec
(epoch: 73, iters: 48, time: 0.645) D_A: 0.262 G_A: 1.399 vgg: 0.113 D_P: 0.227 
(epoch: 73, iters: 148, time: 0.231) D_A: 0.259 G_A: 1.541 vgg: 0.166 D_P: 0.222 
(epoch: 73, iters: 248, time: 0.232) D_A: 0.257 G_A: 1.557 vgg: 0.145 D_P: 0.162 
(epoch: 73, iters: 348, time: 0.603) D_A: 0.256 G_A: 1.688 vgg: 0.457 D_P: 0.134 
(epoch: 73, iters: 448, time: 0.232) D_A: 0.308 G_A: 1.261 vgg: 0.418 D_P: 0.158 
(epoch: 73, iters: 548, time: 0.231) D_A: 0.252 G_A: 1.843 vgg: 0.651 D_P: 0.085 
(epoch: 73, iters: 648, time: 0.658) D_A: 0.329 G_A: 1.032 vgg: 0.203 D_P: 0.392 
(epoch: 73, iters: 748, time: 0.232) D_A: 0.327 G_A: 2.209 vgg: 0.415 D_P: 0.253 
(epoch: 73, iters: 848, time: 0.231) D_A: 0.261 G_A: 1.800 vgg: 0.208 D_P: 0.312 
(epoch: 73, iters: 948, time: 0.591) D_A: 0.256 G_A: 1.736 vgg: 0.654 D_P: 0.121 
End of epoch 73 / 200 	 Time Taken: 234 sec
(epoch: 74, iters: 32, time: 0.232) D_A: 0.253 G_A: 1.636 vgg: 0.397 D_P: 0.205 
(epoch: 74, iters: 132, time: 0.232) D_A: 0.263 G_A: 1.473 vgg: 0.337 D_P: 0.232 
(epoch: 74, iters: 232, time: 0.568) D_A: 0.267 G_A: 1.903 vgg: 0.719 D_P: 0.195 
(epoch: 74, iters: 332, time: 0.231) D_A: 0.274 G_A: 1.890 vgg: 0.269 D_P: 0.116 
(epoch: 74, iters: 432, time: 0.231) D_A: 0.254 G_A: 1.487 vgg: 0.281 D_P: 0.160 
(epoch: 74, iters: 532, time: 0.658) D_A: 0.256 G_A: 1.609 vgg: 0.306 D_P: 0.245 
(epoch: 74, iters: 632, time: 0.231) D_A: 0.281 G_A: 1.228 vgg: 0.091 D_P: 0.218 
(epoch: 74, iters: 732, time: 0.232) D_A: 0.256 G_A: 1.498 vgg: 0.358 D_P: 0.201 
(epoch: 74, iters: 832, time: 0.616) D_A: 0.259 G_A: 1.580 vgg: 0.341 D_P: 0.182 
saving the latest model (epoch 74, total_steps 75000)
(epoch: 74, iters: 932, time: 0.232) D_A: 0.271 G_A: 1.302 vgg: 0.307 D_P: 0.293 
End of epoch 74 / 200 	 Time Taken: 234 sec
(epoch: 75, iters: 16, time: 0.232) D_A: 0.331 G_A: 1.139 vgg: 0.361 D_P: 0.234 
(epoch: 75, iters: 116, time: 0.583) D_A: 0.272 G_A: 1.687 vgg: 0.771 D_P: 0.215 
(epoch: 75, iters: 216, time: 0.231) D_A: 0.256 G_A: 1.553 vgg: 0.548 D_P: 0.277 
(epoch: 75, iters: 316, time: 0.232) D_A: 0.273 G_A: 1.294 vgg: 0.457 D_P: 0.229 
(epoch: 75, iters: 416, time: 0.622) D_A: 0.262 G_A: 1.564 vgg: 0.532 D_P: 0.204 
(epoch: 75, iters: 516, time: 0.232) D_A: 0.272 G_A: 1.263 vgg: 0.286 D_P: 0.370 
(epoch: 75, iters: 616, time: 0.231) D_A: 0.258 G_A: 1.472 vgg: 0.261 D_P: 0.374 
(epoch: 75, iters: 716, time: 0.659) D_A: 0.254 G_A: 1.729 vgg: 0.357 D_P: 0.088 
(epoch: 75, iters: 816, time: 0.232) D_A: 0.257 G_A: 1.640 vgg: 0.274 D_P: 0.162 
(epoch: 75, iters: 916, time: 0.231) D_A: 0.255 G_A: 1.490 vgg: 0.110 D_P: 0.302 
(epoch: 75, iters: 1016, time: 0.549) D_A: 0.256 G_A: 1.484 vgg: 0.637 D_P: 0.224 
saving the model at the end of epoch 75, iters 76200
End of epoch 75 / 200 	 Time Taken: 234 sec
(epoch: 76, iters: 100, time: 0.230) D_A: 0.268 G_A: 1.764 vgg: 0.383 D_P: 0.335 
(epoch: 76, iters: 200, time: 0.231) D_A: 0.260 G_A: 1.649 vgg: 0.308 D_P: 0.230 
(epoch: 76, iters: 300, time: 0.597) D_A: 0.258 G_A: 1.283 vgg: 0.667 D_P: 0.233 
(epoch: 76, iters: 400, time: 0.232) D_A: 0.258 G_A: 1.702 vgg: 0.374 D_P: 0.194 
(epoch: 76, iters: 500, time: 0.231) D_A: 0.253 G_A: 1.608 vgg: 0.252 D_P: 0.261 
(epoch: 76, iters: 600, time: 0.603) D_A: 0.261 G_A: 1.627 vgg: 0.450 D_P: 0.117 
(epoch: 76, iters: 700, time: 0.231) D_A: 0.273 G_A: 1.178 vgg: 0.263 D_P: 0.382 
(epoch: 76, iters: 800, time: 0.232) D_A: 0.254 G_A: 1.675 vgg: 0.236 D_P: 0.162 
(epoch: 76, iters: 900, time: 0.606) D_A: 0.258 G_A: 1.372 vgg: 0.122 D_P: 0.199 
(epoch: 76, iters: 1000, time: 0.232) D_A: 0.257 G_A: 1.508 vgg: 0.330 D_P: 0.229 
End of epoch 76 / 200 	 Time Taken: 233 sec
(epoch: 77, iters: 84, time: 0.232) D_A: 0.256 G_A: 1.468 vgg: 0.544 D_P: 0.184 
(epoch: 77, iters: 184, time: 0.684) D_A: 0.263 G_A: 1.397 vgg: 0.168 D_P: 0.314 
(epoch: 77, iters: 284, time: 0.232) D_A: 0.277 G_A: 1.228 vgg: 0.283 D_P: 0.409 
(epoch: 77, iters: 384, time: 0.231) D_A: 0.254 G_A: 1.643 vgg: 0.380 D_P: 0.217 
(epoch: 77, iters: 484, time: 0.595) D_A: 0.264 G_A: 1.810 vgg: 0.246 D_P: 0.221 
(epoch: 77, iters: 584, time: 0.231) D_A: 0.254 G_A: 1.867 vgg: 0.509 D_P: 0.075 
(epoch: 77, iters: 684, time: 0.231) D_A: 0.253 G_A: 1.789 vgg: 0.394 D_P: 0.068 
(epoch: 77, iters: 784, time: 0.586) D_A: 0.254 G_A: 1.593 vgg: 0.226 D_P: 0.222 
(epoch: 77, iters: 884, time: 0.231) D_A: 0.263 G_A: 1.428 vgg: 0.421 D_P: 0.169 
(epoch: 77, iters: 984, time: 0.232) D_A: 0.268 G_A: 1.827 vgg: 0.312 D_P: 0.286 
End of epoch 77 / 200 	 Time Taken: 234 sec
(epoch: 78, iters: 68, time: 0.606) D_A: 0.263 G_A: 1.733 vgg: 0.560 D_P: 0.087 
(epoch: 78, iters: 168, time: 0.231) D_A: 0.274 G_A: 1.441 vgg: 0.268 D_P: 0.190 
(epoch: 78, iters: 268, time: 0.232) D_A: 0.262 G_A: 1.786 vgg: 0.377 D_P: 0.196 
(epoch: 78, iters: 368, time: 0.604) D_A: 0.254 G_A: 1.389 vgg: 1.314 D_P: 0.390 
(epoch: 78, iters: 468, time: 0.231) D_A: 0.254 G_A: 1.749 vgg: 0.448 D_P: 0.154 
(epoch: 78, iters: 568, time: 0.232) D_A: 0.255 G_A: 1.688 vgg: 0.312 D_P: 0.209 
(epoch: 78, iters: 668, time: 0.584) D_A: 0.253 G_A: 1.508 vgg: 0.898 D_P: 0.336 
(epoch: 78, iters: 768, time: 0.231) D_A: 0.255 G_A: 1.618 vgg: 0.221 D_P: 0.191 
(epoch: 78, iters: 868, time: 0.232) D_A: 0.255 G_A: 1.545 vgg: 0.290 D_P: 0.268 
(epoch: 78, iters: 968, time: 0.641) D_A: 0.257 G_A: 1.646 vgg: 0.663 D_P: 0.124 
End of epoch 78 / 200 	 Time Taken: 234 sec
(epoch: 79, iters: 52, time: 0.232) D_A: 0.262 G_A: 1.692 vgg: 0.144 D_P: 0.214 
(epoch: 79, iters: 152, time: 0.231) D_A: 0.273 G_A: 1.544 vgg: 0.646 D_P: 0.131 
(epoch: 79, iters: 252, time: 0.726) D_A: 0.254 G_A: 1.548 vgg: 0.128 D_P: 0.267 
(epoch: 79, iters: 352, time: 0.232) D_A: 0.261 G_A: 1.584 vgg: 0.166 D_P: 0.357 
(epoch: 79, iters: 452, time: 0.232) D_A: 0.253 G_A: 1.454 vgg: 0.453 D_P: 0.308 
(epoch: 79, iters: 552, time: 0.578) D_A: 0.257 G_A: 1.524 vgg: 0.528 D_P: 0.178 
(epoch: 79, iters: 652, time: 0.232) D_A: 0.272 G_A: 1.452 vgg: 0.360 D_P: 0.250 
(epoch: 79, iters: 752, time: 0.232) D_A: 0.264 G_A: 1.409 vgg: 0.485 D_P: 0.139 
saving the latest model (epoch 79, total_steps 80000)
(epoch: 79, iters: 852, time: 0.565) D_A: 0.253 G_A: 1.795 vgg: 0.480 D_P: 0.174 
(epoch: 79, iters: 952, time: 0.232) D_A: 0.252 G_A: 1.616 vgg: 0.276 D_P: 0.137 
End of epoch 79 / 200 	 Time Taken: 237 sec
(epoch: 80, iters: 36, time: 0.252) D_A: 0.267 G_A: 1.262 vgg: 0.526 D_P: 0.329 
(epoch: 80, iters: 136, time: 0.591) D_A: 0.264 G_A: 1.717 vgg: 0.349 D_P: 0.339 
(epoch: 80, iters: 236, time: 0.232) D_A: 0.264 G_A: 1.457 vgg: 0.287 D_P: 0.202 
(epoch: 80, iters: 336, time: 0.232) D_A: 0.264 G_A: 1.534 vgg: 0.575 D_P: 0.139 
(epoch: 80, iters: 436, time: 0.606) D_A: 0.254 G_A: 1.854 vgg: 0.339 D_P: 0.062 
(epoch: 80, iters: 536, time: 0.232) D_A: 0.256 G_A: 1.463 vgg: 0.187 D_P: 0.119 
(epoch: 80, iters: 636, time: 0.232) D_A: 0.270 G_A: 1.521 vgg: 0.648 D_P: 0.137 
(epoch: 80, iters: 736, time: 0.618) D_A: 0.258 G_A: 1.319 vgg: 0.739 D_P: 0.277 
(epoch: 80, iters: 836, time: 0.232) D_A: 0.259 G_A: 1.722 vgg: 0.515 D_P: 0.313 
(epoch: 80, iters: 936, time: 0.232) D_A: 0.257 G_A: 1.712 vgg: 0.519 D_P: 0.286 
saving the model at the end of epoch 80, iters 81280
End of epoch 80 / 200 	 Time Taken: 237 sec
(epoch: 81, iters: 20, time: 0.628) D_A: 0.259 G_A: 1.594 vgg: 0.479 D_P: 0.144 
(epoch: 81, iters: 120, time: 0.231) D_A: 0.261 G_A: 1.475 vgg: 0.308 D_P: 0.316 
(epoch: 81, iters: 220, time: 0.232) D_A: 0.255 G_A: 1.746 vgg: 0.532 D_P: 0.103 
(epoch: 81, iters: 320, time: 0.642) D_A: 0.261 G_A: 1.672 vgg: 0.290 D_P: 0.214 
(epoch: 81, iters: 420, time: 0.231) D_A: 0.271 G_A: 1.355 vgg: 0.186 D_P: 0.179 
(epoch: 81, iters: 520, time: 0.232) D_A: 0.260 G_A: 1.649 vgg: 0.508 D_P: 0.119 
(epoch: 81, iters: 620, time: 0.603) D_A: 0.272 G_A: 1.471 vgg: 0.335 D_P: 0.246 
(epoch: 81, iters: 720, time: 0.232) D_A: 0.258 G_A: 1.699 vgg: 0.251 D_P: 0.229 
(epoch: 81, iters: 820, time: 0.232) D_A: 0.257 G_A: 1.505 vgg: 0.479 D_P: 0.192 
(epoch: 81, iters: 920, time: 0.607) D_A: 0.257 G_A: 1.814 vgg: 0.274 D_P: 0.218 
End of epoch 81 / 200 	 Time Taken: 234 sec
(epoch: 82, iters: 4, time: 0.231) D_A: 0.255 G_A: 1.566 vgg: 0.158 D_P: 0.295 
(epoch: 82, iters: 104, time: 0.231) D_A: 0.262 G_A: 1.609 vgg: 0.146 D_P: 0.282 
(epoch: 82, iters: 204, time: 0.610) D_A: 0.254 G_A: 1.660 vgg: 0.420 D_P: 0.188 
(epoch: 82, iters: 304, time: 0.232) D_A: 0.273 G_A: 1.935 vgg: 0.276 D_P: 0.176 
(epoch: 82, iters: 404, time: 0.231) D_A: 0.257 G_A: 1.500 vgg: 0.156 D_P: 0.139 
(epoch: 82, iters: 504, time: 0.664) D_A: 0.255 G_A: 1.671 vgg: 0.263 D_P: 0.174 
(epoch: 82, iters: 604, time: 0.232) D_A: 0.257 G_A: 1.854 vgg: 0.374 D_P: 0.176 
(epoch: 82, iters: 704, time: 0.231) D_A: 0.258 G_A: 1.777 vgg: 0.360 D_P: 0.244 
(epoch: 82, iters: 804, time: 0.563) D_A: 0.276 G_A: 1.495 vgg: 0.879 D_P: 0.225 
(epoch: 82, iters: 904, time: 0.232) D_A: 0.271 G_A: 1.927 vgg: 0.213 D_P: 0.167 
(epoch: 82, iters: 1004, time: 0.231) D_A: 0.262 G_A: 1.850 vgg: 0.338 D_P: 0.214 
End of epoch 82 / 200 	 Time Taken: 234 sec
(epoch: 83, iters: 88, time: 0.616) D_A: 0.253 G_A: 1.659 vgg: 0.160 D_P: 0.320 
(epoch: 83, iters: 188, time: 0.232) D_A: 0.256 G_A: 1.380 vgg: 0.207 D_P: 0.463 
(epoch: 83, iters: 288, time: 0.232) D_A: 0.261 G_A: 1.567 vgg: 0.146 D_P: 0.291 
(epoch: 83, iters: 388, time: 0.609) D_A: 0.254 G_A: 1.615 vgg: 0.266 D_P: 0.132 
(epoch: 83, iters: 488, time: 0.231) D_A: 0.260 G_A: 1.389 vgg: 0.321 D_P: 0.233 
(epoch: 83, iters: 588, time: 0.232) D_A: 0.272 G_A: 1.530 vgg: 0.511 D_P: 0.101 
(epoch: 83, iters: 688, time: 0.548) D_A: 0.264 G_A: 1.319 vgg: 0.891 D_P: 0.297 
(epoch: 83, iters: 788, time: 0.231) D_A: 0.267 G_A: 1.291 vgg: 0.645 D_P: 0.260 
(epoch: 83, iters: 888, time: 0.232) D_A: 0.255 G_A: 1.728 vgg: 0.491 D_P: 0.221 
(epoch: 83, iters: 988, time: 0.672) D_A: 0.272 G_A: 1.405 vgg: 0.336 D_P: 0.263 
End of epoch 83 / 200 	 Time Taken: 234 sec
(epoch: 84, iters: 72, time: 0.232) D_A: 0.271 G_A: 1.670 vgg: 0.733 D_P: 0.115 
(epoch: 84, iters: 172, time: 0.233) D_A: 0.260 G_A: 1.468 vgg: 0.148 D_P: 0.219 
(epoch: 84, iters: 272, time: 0.575) D_A: 0.263 G_A: 2.082 vgg: 0.453 D_P: 0.241 
(epoch: 84, iters: 372, time: 0.232) D_A: 0.267 G_A: 1.710 vgg: 0.260 D_P: 0.341 
(epoch: 84, iters: 472, time: 0.232) D_A: 0.257 G_A: 1.472 vgg: 0.206 D_P: 0.302 
(epoch: 84, iters: 572, time: 0.678) D_A: 0.253 G_A: 1.727 vgg: 0.284 D_P: 0.089 
(epoch: 84, iters: 672, time: 0.232) D_A: 0.275 G_A: 1.805 vgg: 0.712 D_P: 0.166 
saving the latest model (epoch 84, total_steps 85000)
(epoch: 84, iters: 772, time: 0.232) D_A: 0.255 G_A: 1.393 vgg: 0.321 D_P: 0.236 
(epoch: 84, iters: 872, time: 0.615) D_A: 0.255 G_A: 1.637 vgg: 0.282 D_P: 0.172 
(epoch: 84, iters: 972, time: 0.231) D_A: 0.260 G_A: 1.337 vgg: 0.184 D_P: 0.264 
End of epoch 84 / 200 	 Time Taken: 235 sec
(epoch: 85, iters: 56, time: 0.235) D_A: 0.279 G_A: 1.355 vgg: 0.241 D_P: 0.264 
(epoch: 85, iters: 156, time: 0.563) D_A: 0.257 G_A: 1.368 vgg: 0.682 D_P: 0.407 
(epoch: 85, iters: 256, time: 0.232) D_A: 0.253 G_A: 1.756 vgg: 0.316 D_P: 0.220 
(epoch: 85, iters: 356, time: 0.244) D_A: 0.256 G_A: 1.527 vgg: 0.110 D_P: 0.113 
(epoch: 85, iters: 456, time: 0.598) D_A: 0.259 G_A: 1.399 vgg: 0.738 D_P: 0.210 
(epoch: 85, iters: 556, time: 0.232) D_A: 0.253 G_A: 1.805 vgg: 0.736 D_P: 0.198 
(epoch: 85, iters: 656, time: 0.233) D_A: 0.256 G_A: 1.483 vgg: 0.254 D_P: 0.241 
(epoch: 85, iters: 756, time: 0.652) D_A: 0.266 G_A: 1.721 vgg: 0.543 D_P: 0.266 
(epoch: 85, iters: 856, time: 0.233) D_A: 0.256 G_A: 1.825 vgg: 0.543 D_P: 0.176 
(epoch: 85, iters: 956, time: 0.233) D_A: 0.256 G_A: 1.607 vgg: 0.305 D_P: 0.251 
saving the model at the end of epoch 85, iters 86360
End of epoch 85 / 200 	 Time Taken: 240 sec
(epoch: 86, iters: 40, time: 0.618) D_A: 0.253 G_A: 1.791 vgg: 0.726 D_P: 0.164 
(epoch: 86, iters: 140, time: 0.233) D_A: 0.260 G_A: 1.648 vgg: 0.299 D_P: 0.306 
(epoch: 86, iters: 240, time: 0.231) D_A: 0.254 G_A: 1.601 vgg: 0.111 D_P: 0.113 
(epoch: 86, iters: 340, time: 0.738) D_A: 0.273 G_A: 1.195 vgg: 0.268 D_P: 0.244 
(epoch: 86, iters: 440, time: 0.233) D_A: 0.256 G_A: 1.639 vgg: 0.235 D_P: 0.202 
(epoch: 86, iters: 540, time: 0.234) D_A: 0.254 G_A: 1.618 vgg: 0.195 D_P: 0.119 
(epoch: 86, iters: 640, time: 0.592) D_A: 0.260 G_A: 2.060 vgg: 0.622 D_P: 0.036 
(epoch: 86, iters: 740, time: 0.233) D_A: 0.252 G_A: 1.502 vgg: 0.224 D_P: 0.132 
(epoch: 86, iters: 840, time: 0.234) D_A: 0.254 G_A: 1.480 vgg: 0.287 D_P: 0.274 
(epoch: 86, iters: 940, time: 0.643) D_A: 0.256 G_A: 1.681 vgg: 0.446 D_P: 0.076 
End of epoch 86 / 200 	 Time Taken: 236 sec
(epoch: 87, iters: 24, time: 0.233) D_A: 0.273 G_A: 1.411 vgg: 0.223 D_P: 0.237 
(epoch: 87, iters: 124, time: 0.233) D_A: 0.263 G_A: 1.575 vgg: 0.252 D_P: 0.179 
(epoch: 87, iters: 224, time: 0.553) D_A: 0.259 G_A: 1.755 vgg: 0.650 D_P: 0.200 
(epoch: 87, iters: 324, time: 0.233) D_A: 0.255 G_A: 1.434 vgg: 0.174 D_P: 0.223 
(epoch: 87, iters: 424, time: 0.234) D_A: 0.257 G_A: 2.082 vgg: 0.634 D_P: 0.101 
(epoch: 87, iters: 524, time: 0.620) D_A: 0.254 G_A: 1.709 vgg: 0.220 D_P: 0.161 
(epoch: 87, iters: 624, time: 0.234) D_A: 0.253 G_A: 1.529 vgg: 0.169 D_P: 0.286 
(epoch: 87, iters: 724, time: 0.233) D_A: 0.255 G_A: 1.680 vgg: 0.240 D_P: 0.238 
(epoch: 87, iters: 824, time: 0.706) D_A: 0.260 G_A: 1.451 vgg: 0.524 D_P: 0.320 
(epoch: 87, iters: 924, time: 0.234) D_A: 0.260 G_A: 1.374 vgg: 0.314 D_P: 0.194 
End of epoch 87 / 200 	 Time Taken: 236 sec
(epoch: 88, iters: 8, time: 0.233) D_A: 0.254 G_A: 1.516 vgg: 0.257 D_P: 0.242 
(epoch: 88, iters: 108, time: 0.712) D_A: 0.272 G_A: 1.421 vgg: 0.163 D_P: 0.369 
(epoch: 88, iters: 208, time: 0.234) D_A: 0.267 G_A: 1.449 vgg: 0.327 D_P: 0.189 
(epoch: 88, iters: 308, time: 0.233) D_A: 0.259 G_A: 1.919 vgg: 0.257 D_P: 0.242 
(epoch: 88, iters: 408, time: 0.681) D_A: 0.279 G_A: 1.328 vgg: 0.275 D_P: 0.121 
(epoch: 88, iters: 508, time: 0.234) D_A: 0.259 G_A: 1.881 vgg: 0.155 D_P: 0.139 
(epoch: 88, iters: 608, time: 0.234) D_A: 0.252 G_A: 1.524 vgg: 0.718 D_P: 0.326 
(epoch: 88, iters: 708, time: 0.631) D_A: 0.254 G_A: 1.513 vgg: 0.671 D_P: 0.190 
(epoch: 88, iters: 808, time: 0.234) D_A: 0.254 G_A: 1.639 vgg: 0.347 D_P: 0.120 
(epoch: 88, iters: 908, time: 0.233) D_A: 0.254 G_A: 1.866 vgg: 0.513 D_P: 0.212 
(epoch: 88, iters: 1008, time: 0.589) D_A: 0.253 G_A: 1.432 vgg: 0.190 D_P: 0.253 
End of epoch 88 / 200 	 Time Taken: 236 sec
(epoch: 89, iters: 92, time: 0.233) D_A: 0.253 G_A: 1.398 vgg: 0.408 D_P: 0.251 
(epoch: 89, iters: 192, time: 0.233) D_A: 0.261 G_A: 1.982 vgg: 0.230 D_P: 0.076 
(epoch: 89, iters: 292, time: 0.725) D_A: 0.253 G_A: 1.662 vgg: 0.219 D_P: 0.254 
(epoch: 89, iters: 392, time: 0.233) D_A: 0.254 G_A: 1.795 vgg: 0.349 D_P: 0.080 
(epoch: 89, iters: 492, time: 0.233) D_A: 0.255 G_A: 1.653 vgg: 0.341 D_P: 0.150 
(epoch: 89, iters: 592, time: 0.698) D_A: 0.253 G_A: 1.492 vgg: 0.133 D_P: 0.181 
saving the latest model (epoch 89, total_steps 90000)
(epoch: 89, iters: 692, time: 0.233) D_A: 0.252 G_A: 1.624 vgg: 0.587 D_P: 0.157 
(epoch: 89, iters: 792, time: 0.232) D_A: 0.254 G_A: 1.858 vgg: 1.345 D_P: 0.080 
(epoch: 89, iters: 892, time: 0.637) D_A: 0.258 G_A: 1.711 vgg: 0.356 D_P: 0.207 
(epoch: 89, iters: 992, time: 0.232) D_A: 0.256 G_A: 1.500 vgg: 0.473 D_P: 0.334 
End of epoch 89 / 200 	 Time Taken: 237 sec
(epoch: 90, iters: 76, time: 0.235) D_A: 0.256 G_A: 1.451 vgg: 0.290 D_P: 0.297 
(epoch: 90, iters: 176, time: 0.651) D_A: 0.253 G_A: 1.641 vgg: 0.751 D_P: 0.188 
(epoch: 90, iters: 276, time: 0.233) D_A: 0.256 G_A: 1.287 vgg: 0.313 D_P: 0.311 
(epoch: 90, iters: 376, time: 0.233) D_A: 0.255 G_A: 1.696 vgg: 0.410 D_P: 0.233 
(epoch: 90, iters: 476, time: 0.654) D_A: 0.254 G_A: 1.822 vgg: 0.410 D_P: 0.121 
(epoch: 90, iters: 576, time: 0.233) D_A: 0.259 G_A: 1.558 vgg: 0.749 D_P: 0.294 
(epoch: 90, iters: 676, time: 0.234) D_A: 0.260 G_A: 1.891 vgg: 0.261 D_P: 0.147 
(epoch: 90, iters: 776, time: 0.624) D_A: 0.261 G_A: 1.863 vgg: 0.292 D_P: 0.113 
(epoch: 90, iters: 876, time: 0.233) D_A: 0.253 G_A: 1.667 vgg: 0.272 D_P: 0.204 
(epoch: 90, iters: 976, time: 0.234) D_A: 0.270 G_A: 1.579 vgg: 0.755 D_P: 0.195 
saving the model at the end of epoch 90, iters 91440
End of epoch 90 / 200 	 Time Taken: 237 sec
(epoch: 91, iters: 60, time: 0.613) D_A: 0.263 G_A: 1.820 vgg: 0.244 D_P: 0.119 
(epoch: 91, iters: 160, time: 0.233) D_A: 0.282 G_A: 1.356 vgg: 0.117 D_P: 0.358 
(epoch: 91, iters: 260, time: 0.234) D_A: 0.255 G_A: 1.611 vgg: 0.234 D_P: 0.196 
(epoch: 91, iters: 360, time: 0.695) D_A: 0.259 G_A: 1.740 vgg: 0.193 D_P: 0.101 
(epoch: 91, iters: 460, time: 0.234) D_A: 0.254 G_A: 1.747 vgg: 0.236 D_P: 0.151 
(epoch: 91, iters: 560, time: 0.233) D_A: 0.255 G_A: 1.645 vgg: 0.401 D_P: 0.120 
(epoch: 91, iters: 660, time: 0.667) D_A: 0.262 G_A: 1.353 vgg: 0.605 D_P: 0.282 
(epoch: 91, iters: 760, time: 0.233) D_A: 0.267 G_A: 1.403 vgg: 0.309 D_P: 0.121 
(epoch: 91, iters: 860, time: 0.235) D_A: 0.282 G_A: 1.380 vgg: 0.459 D_P: 0.240 
(epoch: 91, iters: 960, time: 0.644) D_A: 0.273 G_A: 1.375 vgg: 0.251 D_P: 0.375 
End of epoch 91 / 200 	 Time Taken: 236 sec
(epoch: 92, iters: 44, time: 0.233) D_A: 0.252 G_A: 1.529 vgg: 0.165 D_P: 0.144 
(epoch: 92, iters: 144, time: 0.233) D_A: 0.252 G_A: 1.611 vgg: 0.147 D_P: 0.267 
(epoch: 92, iters: 244, time: 0.613) D_A: 0.253 G_A: 1.579 vgg: 0.368 D_P: 0.200 
(epoch: 92, iters: 344, time: 0.234) D_A: 0.259 G_A: 1.403 vgg: 0.195 D_P: 0.184 
(epoch: 92, iters: 444, time: 0.234) D_A: 0.256 G_A: 1.930 vgg: 0.439 D_P: 0.167 
(epoch: 92, iters: 544, time: 0.612) D_A: 0.257 G_A: 1.344 vgg: 0.933 D_P: 0.262 
(epoch: 92, iters: 644, time: 0.233) D_A: 0.253 G_A: 1.467 vgg: 0.365 D_P: 0.130 
(epoch: 92, iters: 744, time: 0.233) D_A: 0.260 G_A: 1.529 vgg: 0.343 D_P: 0.171 
(epoch: 92, iters: 844, time: 0.659) D_A: 0.257 G_A: 1.390 vgg: 0.646 D_P: 0.293 
(epoch: 92, iters: 944, time: 0.234) D_A: 0.258 G_A: 1.620 vgg: 0.616 D_P: 0.258 
End of epoch 92 / 200 	 Time Taken: 236 sec
(epoch: 93, iters: 28, time: 0.234) D_A: 0.259 G_A: 1.324 vgg: 0.276 D_P: 0.234 
(epoch: 93, iters: 128, time: 0.686) D_A: 0.254 G_A: 1.567 vgg: 0.397 D_P: 0.191 
(epoch: 93, iters: 228, time: 0.233) D_A: 0.252 G_A: 1.550 vgg: 0.243 D_P: 0.236 
(epoch: 93, iters: 328, time: 0.234) D_A: 0.254 G_A: 1.834 vgg: 0.644 D_P: 0.174 
(epoch: 93, iters: 428, time: 0.599) D_A: 0.253 G_A: 1.739 vgg: 0.433 D_P: 0.112 
(epoch: 93, iters: 528, time: 0.232) D_A: 0.255 G_A: 1.918 vgg: 0.341 D_P: 0.149 
(epoch: 93, iters: 628, time: 0.234) D_A: 0.254 G_A: 1.741 vgg: 0.184 D_P: 0.236 
(epoch: 93, iters: 728, time: 0.615) D_A: 0.254 G_A: 1.516 vgg: 0.291 D_P: 0.346 
(epoch: 93, iters: 828, time: 0.234) D_A: 0.254 G_A: 1.473 vgg: 0.168 D_P: 0.158 
(epoch: 93, iters: 928, time: 0.234) D_A: 0.271 G_A: 1.280 vgg: 0.511 D_P: 0.190 
End of epoch 93 / 200 	 Time Taken: 236 sec
(epoch: 94, iters: 12, time: 0.668) D_A: 0.252 G_A: 1.867 vgg: 0.382 D_P: 0.081 
(epoch: 94, iters: 112, time: 0.232) D_A: 0.252 G_A: 1.728 vgg: 0.281 D_P: 0.216 
(epoch: 94, iters: 212, time: 0.234) D_A: 0.254 G_A: 1.499 vgg: 0.269 D_P: 0.242 
(epoch: 94, iters: 312, time: 0.669) D_A: 0.261 G_A: 1.335 vgg: 0.143 D_P: 0.253 
(epoch: 94, iters: 412, time: 0.233) D_A: 0.270 G_A: 1.832 vgg: 0.368 D_P: 0.217 
(epoch: 94, iters: 512, time: 0.234) D_A: 0.256 G_A: 1.898 vgg: 0.193 D_P: 0.060 
saving the latest model (epoch 94, total_steps 95000)
(epoch: 94, iters: 612, time: 0.724) D_A: 0.256 G_A: 1.630 vgg: 0.146 D_P: 0.253 
(epoch: 94, iters: 712, time: 0.233) D_A: 0.254 G_A: 1.561 vgg: 0.141 D_P: 0.170 
(epoch: 94, iters: 812, time: 0.233) D_A: 0.254 G_A: 1.632 vgg: 0.376 D_P: 0.217 
(epoch: 94, iters: 912, time: 0.655) D_A: 0.252 G_A: 1.817 vgg: 0.410 D_P: 0.123 
(epoch: 94, iters: 1012, time: 0.234) D_A: 0.258 G_A: 1.479 vgg: 0.528 D_P: 0.275 
End of epoch 94 / 200 	 Time Taken: 237 sec
(epoch: 95, iters: 96, time: 0.233) D_A: 0.253 G_A: 1.671 vgg: 0.292 D_P: 0.084 
(epoch: 95, iters: 196, time: 0.661) D_A: 0.258 G_A: 1.749 vgg: 0.689 D_P: 0.141 
(epoch: 95, iters: 296, time: 0.234) D_A: 0.256 G_A: 1.635 vgg: 0.533 D_P: 0.289 
(epoch: 95, iters: 396, time: 0.233) D_A: 0.254 G_A: 1.804 vgg: 0.230 D_P: 0.244 
(epoch: 95, iters: 496, time: 0.657) D_A: 0.253 G_A: 1.634 vgg: 0.487 D_P: 0.124 
(epoch: 95, iters: 596, time: 0.233) D_A: 0.256 G_A: 1.631 vgg: 0.246 D_P: 0.210 
(epoch: 95, iters: 696, time: 0.234) D_A: 0.261 G_A: 1.756 vgg: 0.232 D_P: 0.198 
(epoch: 95, iters: 796, time: 0.696) D_A: 0.257 G_A: 1.666 vgg: 0.515 D_P: 0.103 
(epoch: 95, iters: 896, time: 0.232) D_A: 0.252 G_A: 1.516 vgg: 0.243 D_P: 0.270 
(epoch: 95, iters: 996, time: 0.232) D_A: 0.256 G_A: 1.402 vgg: 0.170 D_P: 0.247 
saving the model at the end of epoch 95, iters 96520
End of epoch 95 / 200 	 Time Taken: 238 sec
(epoch: 96, iters: 80, time: 0.685) D_A: 0.252 G_A: 1.823 vgg: 0.536 D_P: 0.066 
(epoch: 96, iters: 180, time: 0.232) D_A: 0.253 G_A: 1.789 vgg: 0.891 D_P: 0.047 
(epoch: 96, iters: 280, time: 0.232) D_A: 0.254 G_A: 1.787 vgg: 0.389 D_P: 0.187 
(epoch: 96, iters: 380, time: 0.601) D_A: 0.258 G_A: 1.506 vgg: 0.262 D_P: 0.225 
(epoch: 96, iters: 480, time: 0.232) D_A: 0.254 G_A: 1.752 vgg: 0.343 D_P: 0.239 
(epoch: 96, iters: 580, time: 0.232) D_A: 0.253 G_A: 1.633 vgg: 0.565 D_P: 0.299 
(epoch: 96, iters: 680, time: 0.691) D_A: 0.253 G_A: 1.674 vgg: 0.251 D_P: 0.257 
(epoch: 96, iters: 780, time: 0.232) D_A: 0.254 G_A: 1.653 vgg: 0.698 D_P: 0.231 
(epoch: 96, iters: 880, time: 0.232) D_A: 0.255 G_A: 1.715 vgg: 0.386 D_P: 0.226 
(epoch: 96, iters: 980, time: 0.619) D_A: 0.252 G_A: 1.587 vgg: 0.282 D_P: 0.164 
End of epoch 96 / 200 	 Time Taken: 235 sec
(epoch: 97, iters: 64, time: 0.232) D_A: 0.253 G_A: 1.494 vgg: 0.143 D_P: 0.373 
(epoch: 97, iters: 164, time: 0.232) D_A: 0.254 G_A: 1.568 vgg: 0.527 D_P: 0.148 
(epoch: 97, iters: 264, time: 0.654) D_A: 0.262 G_A: 1.478 vgg: 0.335 D_P: 0.408 
(epoch: 97, iters: 364, time: 0.232) D_A: 0.253 G_A: 1.564 vgg: 0.412 D_P: 0.324 
(epoch: 97, iters: 464, time: 0.231) D_A: 0.255 G_A: 1.699 vgg: 0.610 D_P: 0.119 
(epoch: 97, iters: 564, time: 0.604) D_A: 0.267 G_A: 1.308 vgg: 0.473 D_P: 0.185 
(epoch: 97, iters: 664, time: 0.231) D_A: 0.260 G_A: 1.289 vgg: 0.282 D_P: 0.238 
(epoch: 97, iters: 764, time: 0.231) D_A: 0.253 G_A: 1.750 vgg: 0.286 D_P: 0.139 
(epoch: 97, iters: 864, time: 0.678) D_A: 0.255 G_A: 1.590 vgg: 0.726 D_P: 0.122 
(epoch: 97, iters: 964, time: 0.232) D_A: 0.257 G_A: 1.687 vgg: 0.338 D_P: 0.249 
End of epoch 97 / 200 	 Time Taken: 235 sec
(epoch: 98, iters: 48, time: 0.233) D_A: 0.251 G_A: 1.459 vgg: 0.406 D_P: 0.265 
(epoch: 98, iters: 148, time: 0.625) D_A: 0.254 G_A: 1.873 vgg: 0.277 D_P: 0.074 
(epoch: 98, iters: 248, time: 0.232) D_A: 0.258 G_A: 1.478 vgg: 0.494 D_P: 0.231 
(epoch: 98, iters: 348, time: 0.269) D_A: 0.256 G_A: 1.507 vgg: 0.212 D_P: 0.233 
(epoch: 98, iters: 448, time: 0.604) D_A: 0.298 G_A: 1.273 vgg: 0.315 D_P: 0.162 
(epoch: 98, iters: 548, time: 0.232) D_A: 0.260 G_A: 1.709 vgg: 0.277 D_P: 0.289 
(epoch: 98, iters: 648, time: 0.232) D_A: 0.254 G_A: 1.237 vgg: 0.345 D_P: 0.391 
(epoch: 98, iters: 748, time: 0.590) D_A: 0.256 G_A: 1.672 vgg: 0.178 D_P: 0.315 
(epoch: 98, iters: 848, time: 0.232) D_A: 0.263 G_A: 1.223 vgg: 0.207 D_P: 0.287 
(epoch: 98, iters: 948, time: 0.232) D_A: 0.256 G_A: 1.381 vgg: 0.175 D_P: 0.387 
End of epoch 98 / 200 	 Time Taken: 234 sec
(epoch: 99, iters: 32, time: 0.623) D_A: 0.256 G_A: 1.437 vgg: 0.202 D_P: 0.364 
(epoch: 99, iters: 132, time: 0.232) D_A: 0.273 G_A: 1.614 vgg: 0.652 D_P: 0.273 
(epoch: 99, iters: 232, time: 0.232) D_A: 0.255 G_A: 1.514 vgg: 0.281 D_P: 0.265 
(epoch: 99, iters: 332, time: 0.640) D_A: 0.255 G_A: 1.658 vgg: 0.355 D_P: 0.112 
(epoch: 99, iters: 432, time: 0.232) D_A: 0.251 G_A: 1.731 vgg: 0.287 D_P: 0.251 
saving the latest model (epoch 99, total_steps 100000)
(epoch: 99, iters: 532, time: 0.232) D_A: 0.254 G_A: 1.681 vgg: 0.360 D_P: 0.137 
(epoch: 99, iters: 632, time: 0.629) D_A: 0.262 G_A: 1.397 vgg: 0.703 D_P: 0.231 
(epoch: 99, iters: 732, time: 0.232) D_A: 0.255 G_A: 1.852 vgg: 0.530 D_P: 0.147 
(epoch: 99, iters: 832, time: 0.232) D_A: 0.253 G_A: 1.670 vgg: 0.331 D_P: 0.164 
(epoch: 99, iters: 932, time: 0.672) D_A: 0.255 G_A: 1.792 vgg: 0.285 D_P: 0.164 
End of epoch 99 / 200 	 Time Taken: 235 sec
(epoch: 100, iters: 16, time: 0.232) D_A: 0.255 G_A: 1.449 vgg: 0.286 D_P: 0.357 
(epoch: 100, iters: 116, time: 0.231) D_A: 0.253 G_A: 1.513 vgg: 0.348 D_P: 0.243 
(epoch: 100, iters: 216, time: 0.621) D_A: 0.253 G_A: 1.643 vgg: 0.319 D_P: 0.254 
(epoch: 100, iters: 316, time: 0.232) D_A: 0.254 G_A: 1.509 vgg: 0.730 D_P: 0.227 
(epoch: 100, iters: 416, time: 0.232) D_A: 0.253 G_A: 1.745 vgg: 0.204 D_P: 0.162 
(epoch: 100, iters: 516, time: 0.636) D_A: 0.256 G_A: 1.526 vgg: 0.334 D_P: 0.245 
(epoch: 100, iters: 616, time: 0.232) D_A: 0.256 G_A: 1.573 vgg: 0.119 D_P: 0.325 
(epoch: 100, iters: 716, time: 0.232) D_A: 0.257 G_A: 1.411 vgg: 0.321 D_P: 0.417 
(epoch: 100, iters: 816, time: 0.688) D_A: 0.261 G_A: 1.507 vgg: 0.177 D_P: 0.238 
(epoch: 100, iters: 916, time: 0.232) D_A: 0.253 G_A: 1.529 vgg: 0.648 D_P: 0.330 
(epoch: 100, iters: 1016, time: 0.232) D_A: 0.257 G_A: 1.545 vgg: 0.149 D_P: 0.148 
saving the model at the end of epoch 100, iters 101600
End of epoch 100 / 200 	 Time Taken: 236 sec
(epoch: 101, iters: 100, time: 0.628) D_A: 0.252 G_A: 1.563 vgg: 0.358 D_P: 0.240 
(epoch: 101, iters: 200, time: 0.232) D_A: 0.252 G_A: 1.725 vgg: 0.259 D_P: 0.133 
(epoch: 101, iters: 300, time: 0.232) D_A: 0.254 G_A: 1.548 vgg: 0.244 D_P: 0.237 
(epoch: 101, iters: 400, time: 0.601) D_A: 0.252 G_A: 1.786 vgg: 0.452 D_P: 0.195 
(epoch: 101, iters: 500, time: 0.232) D_A: 0.257 G_A: 1.732 vgg: 0.458 D_P: 0.215 
(epoch: 101, iters: 600, time: 0.231) D_A: 0.253 G_A: 1.562 vgg: 0.261 D_P: 0.173 
(epoch: 101, iters: 700, time: 0.687) D_A: 0.253 G_A: 1.751 vgg: 0.464 D_P: 0.059 
(epoch: 101, iters: 800, time: 0.231) D_A: 0.266 G_A: 1.386 vgg: 0.594 D_P: 0.158 
(epoch: 101, iters: 900, time: 0.232) D_A: 0.252 G_A: 1.427 vgg: 0.255 D_P: 0.398 
(epoch: 101, iters: 1000, time: 0.669) D_A: 0.265 G_A: 1.416 vgg: 0.217 D_P: 0.312 
End of epoch 101 / 200 	 Time Taken: 235 sec
update learning rate: 0.000100 -> 0.000099
(epoch: 102, iters: 84, time: 0.232) D_A: 0.256 G_A: 1.671 vgg: 0.191 D_P: 0.240 
(epoch: 102, iters: 184, time: 0.231) D_A: 0.316 G_A: 1.041 vgg: 0.310 D_P: 0.443 
(epoch: 102, iters: 284, time: 0.557) D_A: 0.257 G_A: 1.603 vgg: 1.205 D_P: 0.399 
(epoch: 102, iters: 384, time: 0.232) D_A: 0.258 G_A: 1.344 vgg: 0.140 D_P: 0.213 
(epoch: 102, iters: 484, time: 0.232) D_A: 0.253 G_A: 1.469 vgg: 0.195 D_P: 0.294 
(epoch: 102, iters: 584, time: 0.636) D_A: 0.253 G_A: 1.686 vgg: 0.232 D_P: 0.182 
(epoch: 102, iters: 684, time: 0.231) D_A: 0.255 G_A: 1.720 vgg: 0.193 D_P: 0.177 
(epoch: 102, iters: 784, time: 0.233) D_A: 0.255 G_A: 1.613 vgg: 0.508 D_P: 0.196 
(epoch: 102, iters: 884, time: 0.678) D_A: 0.277 G_A: 1.529 vgg: 0.188 D_P: 0.172 
(epoch: 102, iters: 984, time: 0.232) D_A: 0.253 G_A: 1.609 vgg: 0.176 D_P: 0.190 
End of epoch 102 / 200 	 Time Taken: 235 sec
update learning rate: 0.000099 -> 0.000098
(epoch: 103, iters: 68, time: 0.232) D_A: 0.251 G_A: 1.723 vgg: 0.519 D_P: 0.126 
(epoch: 103, iters: 168, time: 0.705) D_A: 0.252 G_A: 1.632 vgg: 0.242 D_P: 0.164 
(epoch: 103, iters: 268, time: 0.232) D_A: 0.257 G_A: 1.822 vgg: 0.374 D_P: 0.126 
(epoch: 103, iters: 368, time: 0.232) D_A: 0.256 G_A: 1.472 vgg: 0.391 D_P: 0.228 
(epoch: 103, iters: 468, time: 0.671) D_A: 0.257 G_A: 1.654 vgg: 0.393 D_P: 0.290 
(epoch: 103, iters: 568, time: 0.232) D_A: 0.252 G_A: 1.644 vgg: 0.252 D_P: 0.186 
(epoch: 103, iters: 668, time: 0.232) D_A: 0.253 G_A: 1.703 vgg: 0.221 D_P: 0.084 
(epoch: 103, iters: 768, time: 0.709) D_A: 0.253 G_A: 1.727 vgg: 0.170 D_P: 0.110 
(epoch: 103, iters: 868, time: 0.232) D_A: 0.260 G_A: 1.367 vgg: 0.109 D_P: 0.248 
(epoch: 103, iters: 968, time: 0.232) D_A: 0.252 G_A: 1.657 vgg: 1.205 D_P: 0.178 
End of epoch 103 / 200 	 Time Taken: 236 sec
update learning rate: 0.000098 -> 0.000097
(epoch: 104, iters: 52, time: 0.591) D_A: 0.258 G_A: 1.751 vgg: 0.400 D_P: 0.234 
(epoch: 104, iters: 152, time: 0.232) D_A: 0.254 G_A: 1.813 vgg: 0.196 D_P: 0.148 
(epoch: 104, iters: 252, time: 0.232) D_A: 0.252 G_A: 1.816 vgg: 0.248 D_P: 0.093 
(epoch: 104, iters: 352, time: 0.632) D_A: 0.252 G_A: 1.812 vgg: 0.638 D_P: 0.051 
saving the latest model (epoch 104, total_steps 105000)
(epoch: 104, iters: 452, time: 0.232) D_A: 0.254 G_A: 1.620 vgg: 0.293 D_P: 0.245 
(epoch: 104, iters: 552, time: 0.232) D_A: 0.252 G_A: 1.536 vgg: 0.424 D_P: 0.259 
(epoch: 104, iters: 652, time: 0.685) D_A: 0.254 G_A: 1.637 vgg: 0.149 D_P: 0.110 
(epoch: 104, iters: 752, time: 0.232) D_A: 0.254 G_A: 1.579 vgg: 0.340 D_P: 0.120 
(epoch: 104, iters: 852, time: 0.232) D_A: 0.256 G_A: 1.428 vgg: 0.446 D_P: 0.311 
(epoch: 104, iters: 952, time: 0.685) D_A: 0.256 G_A: 1.674 vgg: 0.207 D_P: 0.256 
End of epoch 104 / 200 	 Time Taken: 236 sec
update learning rate: 0.000097 -> 0.000096
(epoch: 105, iters: 36, time: 0.232) D_A: 0.256 G_A: 1.803 vgg: 0.192 D_P: 0.272 
(epoch: 105, iters: 136, time: 0.232) D_A: 0.252 G_A: 1.568 vgg: 0.156 D_P: 0.166 
(epoch: 105, iters: 236, time: 0.696) D_A: 0.252 G_A: 1.565 vgg: 0.262 D_P: 0.252 
(epoch: 105, iters: 336, time: 0.231) D_A: 0.251 G_A: 1.564 vgg: 0.172 D_P: 0.273 
(epoch: 105, iters: 436, time: 0.232) D_A: 0.272 G_A: 1.988 vgg: 0.259 D_P: 0.201 
(epoch: 105, iters: 536, time: 0.651) D_A: 0.252 G_A: 1.595 vgg: 0.428 D_P: 0.134 
(epoch: 105, iters: 636, time: 0.231) D_A: 0.252 G_A: 1.602 vgg: 0.521 D_P: 0.241 
(epoch: 105, iters: 736, time: 0.231) D_A: 0.255 G_A: 1.584 vgg: 0.434 D_P: 0.278 
(epoch: 105, iters: 836, time: 0.603) D_A: 0.253 G_A: 1.562 vgg: 0.469 D_P: 0.229 
(epoch: 105, iters: 936, time: 0.231) D_A: 0.252 G_A: 1.413 vgg: 0.168 D_P: 0.242 
saving the model at the end of epoch 105, iters 106680
End of epoch 105 / 200 	 Time Taken: 236 sec
update learning rate: 0.000096 -> 0.000095
(epoch: 106, iters: 20, time: 0.232) D_A: 0.251 G_A: 1.730 vgg: 0.319 D_P: 0.121 
(epoch: 106, iters: 120, time: 0.679) D_A: 0.251 G_A: 1.945 vgg: 0.574 D_P: 0.086 
(epoch: 106, iters: 220, time: 0.232) D_A: 0.251 G_A: 1.645 vgg: 0.652 D_P: 0.109 
(epoch: 106, iters: 320, time: 0.232) D_A: 0.251 G_A: 1.634 vgg: 0.276 D_P: 0.120 
(epoch: 106, iters: 420, time: 0.657) D_A: 0.256 G_A: 1.519 vgg: 1.097 D_P: 0.249 
(epoch: 106, iters: 520, time: 0.232) D_A: 0.253 G_A: 1.850 vgg: 0.255 D_P: 0.171 
(epoch: 106, iters: 620, time: 0.232) D_A: 0.256 G_A: 1.513 vgg: 0.435 D_P: 0.279 
(epoch: 106, iters: 720, time: 0.629) D_A: 0.251 G_A: 1.547 vgg: 0.400 D_P: 0.218 
(epoch: 106, iters: 820, time: 0.231) D_A: 0.251 G_A: 1.667 vgg: 0.372 D_P: 0.189 
(epoch: 106, iters: 920, time: 0.232) D_A: 0.251 G_A: 1.684 vgg: 0.340 D_P: 0.201 
End of epoch 106 / 200 	 Time Taken: 235 sec
update learning rate: 0.000095 -> 0.000094
(epoch: 107, iters: 4, time: 0.655) D_A: 0.260 G_A: 1.527 vgg: 0.426 D_P: 0.199 
(epoch: 107, iters: 104, time: 0.232) D_A: 0.298 G_A: 1.205 vgg: 0.182 D_P: 0.249 
(epoch: 107, iters: 204, time: 0.231) D_A: 0.272 G_A: 1.771 vgg: 0.290 D_P: 0.279 
(epoch: 107, iters: 304, time: 0.679) D_A: 0.254 G_A: 1.433 vgg: 0.158 D_P: 0.227 
(epoch: 107, iters: 404, time: 0.232) D_A: 0.253 G_A: 1.677 vgg: 0.784 D_P: 0.167 
(epoch: 107, iters: 504, time: 0.232) D_A: 0.256 G_A: 1.447 vgg: 0.710 D_P: 0.227 
(epoch: 107, iters: 604, time: 0.621) D_A: 0.253 G_A: 1.633 vgg: 0.311 D_P: 0.147 
(epoch: 107, iters: 704, time: 0.231) D_A: 0.252 G_A: 1.559 vgg: 0.648 D_P: 0.122 
(epoch: 107, iters: 804, time: 0.232) D_A: 0.252 G_A: 1.558 vgg: 0.259 D_P: 0.132 
(epoch: 107, iters: 904, time: 0.695) D_A: 0.256 G_A: 1.550 vgg: 0.199 D_P: 0.181 
(epoch: 107, iters: 1004, time: 0.232) D_A: 0.261 G_A: 1.543 vgg: 0.252 D_P: 0.365 
End of epoch 107 / 200 	 Time Taken: 235 sec
update learning rate: 0.000094 -> 0.000093
(epoch: 108, iters: 88, time: 0.231) D_A: 0.255 G_A: 2.054 vgg: 0.399 D_P: 0.078 
(epoch: 108, iters: 188, time: 0.687) D_A: 0.254 G_A: 1.757 vgg: 0.203 D_P: 0.236 
(epoch: 108, iters: 288, time: 0.231) D_A: 0.255 G_A: 1.931 vgg: 0.419 D_P: 0.230 
(epoch: 108, iters: 388, time: 0.232) D_A: 0.256 G_A: 1.786 vgg: 0.885 D_P: 0.139 
(epoch: 108, iters: 488, time: 0.655) D_A: 0.251 G_A: 1.936 vgg: 0.587 D_P: 0.052 
(epoch: 108, iters: 588, time: 0.233) D_A: 0.252 G_A: 1.455 vgg: 0.200 D_P: 0.281 
(epoch: 108, iters: 688, time: 0.232) D_A: 0.251 G_A: 1.618 vgg: 0.427 D_P: 0.289 
(epoch: 108, iters: 788, time: 0.674) D_A: 0.252 G_A: 1.807 vgg: 0.207 D_P: 0.232 
(epoch: 108, iters: 888, time: 0.231) D_A: 0.251 G_A: 1.586 vgg: 0.221 D_P: 0.205 
(epoch: 108, iters: 988, time: 0.232) D_A: 0.252 G_A: 1.559 vgg: 0.157 D_P: 0.193 
End of epoch 108 / 200 	 Time Taken: 235 sec
update learning rate: 0.000093 -> 0.000092
(epoch: 109, iters: 72, time: 0.696) D_A: 0.251 G_A: 1.608 vgg: 0.382 D_P: 0.163 
(epoch: 109, iters: 172, time: 0.233) D_A: 0.251 G_A: 1.728 vgg: 0.180 D_P: 0.284 
(epoch: 109, iters: 272, time: 0.232) D_A: 0.251 G_A: 1.766 vgg: 0.444 D_P: 0.116 
saving the latest model (epoch 109, total_steps 110000)
(epoch: 109, iters: 372, time: 0.648) D_A: 0.253 G_A: 1.548 vgg: 0.204 D_P: 0.312 
(epoch: 109, iters: 472, time: 0.232) D_A: 0.259 G_A: 1.334 vgg: 0.356 D_P: 0.394 
(epoch: 109, iters: 572, time: 0.232) D_A: 0.253 G_A: 1.424 vgg: 0.207 D_P: 0.287 
(epoch: 109, iters: 672, time: 0.753) D_A: 0.255 G_A: 1.751 vgg: 0.181 D_P: 0.251 
(epoch: 109, iters: 772, time: 0.231) D_A: 0.258 G_A: 1.581 vgg: 0.197 D_P: 0.302 
(epoch: 109, iters: 872, time: 0.231) D_A: 0.253 G_A: 1.687 vgg: 0.212 D_P: 0.171 
(epoch: 109, iters: 972, time: 0.538) D_A: 0.263 G_A: 1.827 vgg: 0.355 D_P: 0.197 
End of epoch 109 / 200 	 Time Taken: 236 sec
update learning rate: 0.000092 -> 0.000091
(epoch: 110, iters: 56, time: 0.231) D_A: 0.255 G_A: 1.572 vgg: 0.309 D_P: 0.115 
(epoch: 110, iters: 156, time: 0.232) D_A: 0.264 G_A: 1.279 vgg: 0.237 D_P: 0.269 
(epoch: 110, iters: 256, time: 0.654) D_A: 0.257 G_A: 1.435 vgg: 0.210 D_P: 0.257 
(epoch: 110, iters: 356, time: 0.232) D_A: 0.254 G_A: 1.705 vgg: 0.168 D_P: 0.166 
(epoch: 110, iters: 456, time: 0.232) D_A: 0.255 G_A: 1.961 vgg: 0.435 D_P: 0.119 
(epoch: 110, iters: 556, time: 0.609) D_A: 0.253 G_A: 1.560 vgg: 0.225 D_P: 0.289 
(epoch: 110, iters: 656, time: 0.232) D_A: 0.254 G_A: 1.676 vgg: 0.227 D_P: 0.143 
(epoch: 110, iters: 756, time: 0.232) D_A: 0.251 G_A: 2.007 vgg: 0.555 D_P: 0.206 
(epoch: 110, iters: 856, time: 0.655) D_A: 0.253 G_A: 1.545 vgg: 0.088 D_P: 0.263 
(epoch: 110, iters: 956, time: 0.232) D_A: 0.251 G_A: 1.980 vgg: 0.428 D_P: 0.098 
saving the model at the end of epoch 110, iters 111760
End of epoch 110 / 200 	 Time Taken: 237 sec
update learning rate: 0.000091 -> 0.000090
(epoch: 111, iters: 40, time: 0.232) D_A: 0.252 G_A: 1.524 vgg: 0.125 D_P: 0.400 
(epoch: 111, iters: 140, time: 0.660) D_A: 0.252 G_A: 1.705 vgg: 0.409 D_P: 0.109 
(epoch: 111, iters: 240, time: 0.232) D_A: 0.252 G_A: 1.723 vgg: 0.404 D_P: 0.187 
(epoch: 111, iters: 340, time: 0.232) D_A: 0.256 G_A: 1.788 vgg: 0.266 D_P: 0.279 
(epoch: 111, iters: 440, time: 0.632) D_A: 0.261 G_A: 1.682 vgg: 0.505 D_P: 0.203 
(epoch: 111, iters: 540, time: 0.231) D_A: 0.264 G_A: 1.445 vgg: 0.648 D_P: 0.120 
(epoch: 111, iters: 640, time: 0.232) D_A: 0.251 G_A: 1.889 vgg: 0.342 D_P: 0.182 
(epoch: 111, iters: 740, time: 0.607) D_A: 0.253 G_A: 1.622 vgg: 0.565 D_P: 0.234 
(epoch: 111, iters: 840, time: 0.232) D_A: 0.254 G_A: 1.823 vgg: 0.435 D_P: 0.135 
(epoch: 111, iters: 940, time: 0.232) D_A: 0.253 G_A: 1.540 vgg: 0.185 D_P: 0.257 
End of epoch 111 / 200 	 Time Taken: 236 sec
update learning rate: 0.000090 -> 0.000089
(epoch: 112, iters: 24, time: 0.702) D_A: 0.256 G_A: 1.633 vgg: 0.335 D_P: 0.133 
(epoch: 112, iters: 124, time: 0.231) D_A: 0.251 G_A: 1.744 vgg: 0.196 D_P: 0.116 
(epoch: 112, iters: 224, time: 0.231) D_A: 0.281 G_A: 2.465 vgg: 0.977 D_P: 0.157 
(epoch: 112, iters: 324, time: 0.617) D_A: 0.253 G_A: 1.532 vgg: 0.316 D_P: 0.203 
(epoch: 112, iters: 424, time: 0.232) D_A: 0.251 G_A: 1.460 vgg: 0.147 D_P: 0.279 
(epoch: 112, iters: 524, time: 0.232) D_A: 0.254 G_A: 1.423 vgg: 0.279 D_P: 0.318 
(epoch: 112, iters: 624, time: 0.677) D_A: 0.252 G_A: 1.601 vgg: 0.182 D_P: 0.169 
(epoch: 112, iters: 724, time: 0.231) D_A: 0.252 G_A: 1.577 vgg: 0.160 D_P: 0.139 
(epoch: 112, iters: 824, time: 0.232) D_A: 0.252 G_A: 1.621 vgg: 0.184 D_P: 0.110 
(epoch: 112, iters: 924, time: 0.662) D_A: 0.253 G_A: 1.474 vgg: 0.137 D_P: 0.362 
End of epoch 112 / 200 	 Time Taken: 235 sec
update learning rate: 0.000089 -> 0.000088
(epoch: 113, iters: 8, time: 0.233) D_A: 0.256 G_A: 1.452 vgg: 0.307 D_P: 0.226 
(epoch: 113, iters: 108, time: 0.232) D_A: 0.281 G_A: 1.408 vgg: 0.177 D_P: 0.138 
(epoch: 113, iters: 208, time: 0.683) D_A: 0.252 G_A: 1.532 vgg: 0.404 D_P: 0.224 
(epoch: 113, iters: 308, time: 0.232) D_A: 0.253 G_A: 1.414 vgg: 0.120 D_P: 0.391 
(epoch: 113, iters: 408, time: 0.232) D_A: 0.252 G_A: 1.457 vgg: 0.565 D_P: 0.266 
(epoch: 113, iters: 508, time: 0.728) D_A: 0.251 G_A: 1.592 vgg: 0.231 D_P: 0.147 
(epoch: 113, iters: 608, time: 0.231) D_A: 0.253 G_A: 1.377 vgg: 0.111 D_P: 0.422 
(epoch: 113, iters: 708, time: 0.232) D_A: 0.255 G_A: 1.455 vgg: 0.250 D_P: 0.269 
(epoch: 113, iters: 808, time: 0.729) D_A: 0.251 G_A: 1.832 vgg: 0.321 D_P: 0.115 
(epoch: 113, iters: 908, time: 0.231) D_A: 0.251 G_A: 1.754 vgg: 0.147 D_P: 0.140 
(epoch: 113, iters: 1008, time: 0.232) D_A: 0.254 G_A: 1.401 vgg: 0.184 D_P: 0.347 
End of epoch 113 / 200 	 Time Taken: 235 sec
update learning rate: 0.000088 -> 0.000087
(epoch: 114, iters: 92, time: 0.683) D_A: 0.252 G_A: 1.618 vgg: 0.223 D_P: 0.228 
(epoch: 114, iters: 192, time: 0.232) D_A: 0.251 G_A: 1.635 vgg: 0.219 D_P: 0.287 
saving the latest model (epoch 114, total_steps 115000)
(epoch: 114, iters: 292, time: 0.232) D_A: 0.251 G_A: 1.890 vgg: 0.206 D_P: 0.120 
(epoch: 114, iters: 392, time: 0.616) D_A: 0.252 G_A: 1.524 vgg: 0.806 D_P: 0.236 
(epoch: 114, iters: 492, time: 0.232) D_A: 0.252 G_A: 1.538 vgg: 0.708 D_P: 0.183 
(epoch: 114, iters: 592, time: 0.232) D_A: 0.252 G_A: 1.560 vgg: 0.182 D_P: 0.216 
(epoch: 114, iters: 692, time: 0.637) D_A: 0.252 G_A: 1.860 vgg: 0.969 D_P: 0.032 
(epoch: 114, iters: 792, time: 0.232) D_A: 0.253 G_A: 1.548 vgg: 0.202 D_P: 0.099 
(epoch: 114, iters: 892, time: 0.232) D_A: 0.252 G_A: 1.711 vgg: 0.438 D_P: 0.255 
(epoch: 114, iters: 992, time: 0.697) D_A: 0.251 G_A: 1.693 vgg: 0.135 D_P: 0.094 
End of epoch 114 / 200 	 Time Taken: 236 sec
update learning rate: 0.000087 -> 0.000086
(epoch: 115, iters: 76, time: 0.232) D_A: 0.254 G_A: 1.726 vgg: 0.407 D_P: 0.099 
(epoch: 115, iters: 176, time: 0.231) D_A: 0.298 G_A: 1.275 vgg: 0.354 D_P: 0.224 
(epoch: 115, iters: 276, time: 0.688) D_A: 0.257 G_A: 1.464 vgg: 0.185 D_P: 0.215 
(epoch: 115, iters: 376, time: 0.232) D_A: 0.255 G_A: 1.623 vgg: 0.250 D_P: 0.105 
(epoch: 115, iters: 476, time: 0.232) D_A: 0.257 G_A: 1.483 vgg: 0.389 D_P: 0.160 
(epoch: 115, iters: 576, time: 0.675) D_A: 0.252 G_A: 1.398 vgg: 0.672 D_P: 0.345 
(epoch: 115, iters: 676, time: 0.232) D_A: 0.253 G_A: 1.527 vgg: 0.187 D_P: 0.133 
(epoch: 115, iters: 776, time: 0.231) D_A: 0.252 G_A: 1.641 vgg: 0.272 D_P: 0.134 
(epoch: 115, iters: 876, time: 0.682) D_A: 0.252 G_A: 1.463 vgg: 0.268 D_P: 0.222 
(epoch: 115, iters: 976, time: 0.231) D_A: 0.252 G_A: 1.659 vgg: 0.261 D_P: 0.215 
saving the model at the end of epoch 115, iters 116840
End of epoch 115 / 200 	 Time Taken: 237 sec
update learning rate: 0.000086 -> 0.000085
(epoch: 116, iters: 60, time: 0.232) D_A: 0.252 G_A: 1.792 vgg: 0.626 D_P: 0.137 
(epoch: 116, iters: 160, time: 0.654) D_A: 0.252 G_A: 1.458 vgg: 0.152 D_P: 0.197 
(epoch: 116, iters: 260, time: 0.232) D_A: 0.251 G_A: 1.410 vgg: 0.622 D_P: 0.185 
(epoch: 116, iters: 360, time: 0.232) D_A: 0.252 G_A: 1.675 vgg: 0.592 D_P: 0.143 
(epoch: 116, iters: 460, time: 0.657) D_A: 0.252 G_A: 1.846 vgg: 0.397 D_P: 0.100 
(epoch: 116, iters: 560, time: 0.232) D_A: 0.251 G_A: 1.856 vgg: 0.378 D_P: 0.156 
(epoch: 116, iters: 660, time: 0.232) D_A: 0.252 G_A: 1.621 vgg: 0.207 D_P: 0.218 
(epoch: 116, iters: 760, time: 0.648) D_A: 0.251 G_A: 1.646 vgg: 0.292 D_P: 0.286 
(epoch: 116, iters: 860, time: 0.231) D_A: 0.251 G_A: 1.828 vgg: 0.125 D_P: 0.076 
(epoch: 116, iters: 960, time: 0.231) D_A: 0.254 G_A: 1.378 vgg: 0.439 D_P: 0.259 
End of epoch 116 / 200 	 Time Taken: 236 sec
update learning rate: 0.000085 -> 0.000084
(epoch: 117, iters: 44, time: 0.682) D_A: 0.251 G_A: 1.534 vgg: 0.118 D_P: 0.224 
(epoch: 117, iters: 144, time: 0.231) D_A: 0.252 G_A: 1.621 vgg: 0.103 D_P: 0.196 
(epoch: 117, iters: 244, time: 0.232) D_A: 0.251 G_A: 1.528 vgg: 0.207 D_P: 0.202 
(epoch: 117, iters: 344, time: 0.668) D_A: 0.263 G_A: 1.622 vgg: 0.382 D_P: 0.330 
(epoch: 117, iters: 444, time: 0.231) D_A: 0.252 G_A: 1.536 vgg: 0.216 D_P: 0.229 
(epoch: 117, iters: 544, time: 0.232) D_A: 0.251 G_A: 1.560 vgg: 0.610 D_P: 0.268 
(epoch: 117, iters: 644, time: 0.693) D_A: 0.253 G_A: 1.613 vgg: 0.383 D_P: 0.221 
(epoch: 117, iters: 744, time: 0.231) D_A: 0.251 G_A: 1.518 vgg: 0.133 D_P: 0.177 
(epoch: 117, iters: 844, time: 0.231) D_A: 0.254 G_A: 1.703 vgg: 0.389 D_P: 0.084 
(epoch: 117, iters: 944, time: 0.613) D_A: 0.251 G_A: 1.578 vgg: 0.244 D_P: 0.175 
End of epoch 117 / 200 	 Time Taken: 236 sec
update learning rate: 0.000084 -> 0.000083
(epoch: 118, iters: 28, time: 0.232) D_A: 0.253 G_A: 1.687 vgg: 0.185 D_P: 0.231 
(epoch: 118, iters: 128, time: 0.232) D_A: 0.251 G_A: 1.580 vgg: 0.626 D_P: 0.174 
(epoch: 118, iters: 228, time: 0.693) D_A: 0.254 G_A: 1.344 vgg: 0.557 D_P: 0.272 
(epoch: 118, iters: 328, time: 0.232) D_A: 0.252 G_A: 1.733 vgg: 0.235 D_P: 0.115 
(epoch: 118, iters: 428, time: 0.231) D_A: 0.256 G_A: 1.561 vgg: 0.199 D_P: 0.222 
(epoch: 118, iters: 528, time: 0.657) D_A: 0.254 G_A: 1.743 vgg: 0.372 D_P: 0.135 
(epoch: 118, iters: 628, time: 0.232) D_A: 0.252 G_A: 1.963 vgg: 1.158 D_P: 0.049 
(epoch: 118, iters: 728, time: 0.231) D_A: 0.257 G_A: 1.668 vgg: 0.334 D_P: 0.117 
(epoch: 118, iters: 828, time: 0.716) D_A: 0.251 G_A: 1.512 vgg: 0.168 D_P: 0.244 
(epoch: 118, iters: 928, time: 0.232) D_A: 0.253 G_A: 1.706 vgg: 0.201 D_P: 0.356 
End of epoch 118 / 200 	 Time Taken: 236 sec
update learning rate: 0.000083 -> 0.000082
(epoch: 119, iters: 12, time: 0.232) D_A: 0.253 G_A: 1.562 vgg: 0.199 D_P: 0.158 
(epoch: 119, iters: 112, time: 0.601) D_A: 0.253 G_A: 1.456 vgg: 0.324 D_P: 0.303 
saving the latest model (epoch 119, total_steps 120000)
(epoch: 119, iters: 212, time: 0.232) D_A: 0.251 G_A: 1.561 vgg: 0.245 D_P: 0.123 
(epoch: 119, iters: 312, time: 0.231) D_A: 0.252 G_A: 1.946 vgg: 0.332 D_P: 0.273 
(epoch: 119, iters: 412, time: 0.580) D_A: 0.251 G_A: 1.782 vgg: 0.295 D_P: 0.165 
(epoch: 119, iters: 512, time: 0.231) D_A: 0.251 G_A: 1.607 vgg: 0.200 D_P: 0.229 
(epoch: 119, iters: 612, time: 0.232) D_A: 0.252 G_A: 1.712 vgg: 0.376 D_P: 0.174 
(epoch: 119, iters: 712, time: 0.624) D_A: 0.251 G_A: 1.631 vgg: 0.165 D_P: 0.265 
(epoch: 119, iters: 812, time: 0.232) D_A: 0.251 G_A: 1.619 vgg: 0.228 D_P: 0.195 
(epoch: 119, iters: 912, time: 0.232) D_A: 0.252 G_A: 1.563 vgg: 0.511 D_P: 0.144 
(epoch: 119, iters: 1012, time: 0.625) D_A: 0.256 G_A: 1.519 vgg: 0.909 D_P: 0.266 
End of epoch 119 / 200 	 Time Taken: 236 sec
update learning rate: 0.000082 -> 0.000081
(epoch: 120, iters: 96, time: 0.232) D_A: 0.251 G_A: 1.802 vgg: 0.226 D_P: 0.165 
(epoch: 120, iters: 196, time: 0.232) D_A: 0.252 G_A: 1.863 vgg: 0.383 D_P: 0.191 
(epoch: 120, iters: 296, time: 0.642) D_A: 0.253 G_A: 1.452 vgg: 0.341 D_P: 0.276 
(epoch: 120, iters: 396, time: 0.232) D_A: 0.252 G_A: 1.468 vgg: 0.186 D_P: 0.254 
(epoch: 120, iters: 496, time: 0.231) D_A: 0.251 G_A: 1.569 vgg: 0.885 D_P: 0.277 
(epoch: 120, iters: 596, time: 0.654) D_A: 0.251 G_A: 1.698 vgg: 0.191 D_P: 0.282 
(epoch: 120, iters: 696, time: 0.232) D_A: 0.252 G_A: 1.554 vgg: 0.152 D_P: 0.289 
(epoch: 120, iters: 796, time: 0.231) D_A: 0.268 G_A: 1.252 vgg: 0.405 D_P: 0.403 
(epoch: 120, iters: 896, time: 0.627) D_A: 0.251 G_A: 1.651 vgg: 0.279 D_P: 0.165 
(epoch: 120, iters: 996, time: 0.232) D_A: 0.252 G_A: 1.812 vgg: 0.212 D_P: 0.214 
saving the model at the end of epoch 120, iters 121920
End of epoch 120 / 200 	 Time Taken: 237 sec
update learning rate: 0.000081 -> 0.000080
(epoch: 121, iters: 80, time: 0.232) D_A: 0.253 G_A: 1.592 vgg: 0.369 D_P: 0.225 
(epoch: 121, iters: 180, time: 0.635) D_A: 0.252 G_A: 1.428 vgg: 0.668 D_P: 0.197 
(epoch: 121, iters: 280, time: 0.232) D_A: 0.251 G_A: 1.617 vgg: 0.158 D_P: 0.263 
(epoch: 121, iters: 380, time: 0.232) D_A: 0.251 G_A: 1.720 vgg: 0.406 D_P: 0.096 
(epoch: 121, iters: 480, time: 0.698) D_A: 0.251 G_A: 1.536 vgg: 0.140 D_P: 0.251 
(epoch: 121, iters: 580, time: 0.232) D_A: 0.253 G_A: 1.884 vgg: 0.140 D_P: 0.126 
(epoch: 121, iters: 680, time: 0.231) D_A: 0.258 G_A: 1.663 vgg: 0.474 D_P: 0.128 
(epoch: 121, iters: 780, time: 0.663) D_A: 0.251 G_A: 1.752 vgg: 0.186 D_P: 0.151 
(epoch: 121, iters: 880, time: 0.232) D_A: 0.252 G_A: 1.706 vgg: 0.231 D_P: 0.327 
(epoch: 121, iters: 980, time: 0.232) D_A: 0.252 G_A: 1.544 vgg: 0.191 D_P: 0.279 
End of epoch 121 / 200 	 Time Taken: 235 sec
update learning rate: 0.000080 -> 0.000079
(epoch: 122, iters: 64, time: 0.625) D_A: 0.251 G_A: 1.622 vgg: 0.235 D_P: 0.177 
(epoch: 122, iters: 164, time: 0.232) D_A: 0.252 G_A: 1.701 vgg: 0.470 D_P: 0.179 
(epoch: 122, iters: 264, time: 0.231) D_A: 0.251 G_A: 1.618 vgg: 0.207 D_P: 0.268 
(epoch: 122, iters: 364, time: 0.750) D_A: 0.258 G_A: 1.372 vgg: 0.180 D_P: 0.237 
(epoch: 122, iters: 464, time: 0.232) D_A: 0.252 G_A: 1.806 vgg: 0.326 D_P: 0.184 
(epoch: 122, iters: 564, time: 0.231) D_A: 0.257 G_A: 1.880 vgg: 0.157 D_P: 0.116 
(epoch: 122, iters: 664, time: 0.640) D_A: 0.252 G_A: 1.604 vgg: 0.246 D_P: 0.135 
(epoch: 122, iters: 764, time: 0.232) D_A: 0.252 G_A: 1.595 vgg: 0.183 D_P: 0.193 
(epoch: 122, iters: 864, time: 0.232) D_A: 0.251 G_A: 1.980 vgg: 0.709 D_P: 0.109 
(epoch: 122, iters: 964, time: 0.730) D_A: 0.251 G_A: 1.610 vgg: 0.194 D_P: 0.147 
End of epoch 122 / 200 	 Time Taken: 236 sec
update learning rate: 0.000079 -> 0.000078
(epoch: 123, iters: 48, time: 0.232) D_A: 0.251 G_A: 1.791 vgg: 0.127 D_P: 0.083 
(epoch: 123, iters: 148, time: 0.233) D_A: 0.252 G_A: 1.676 vgg: 0.387 D_P: 0.162 
(epoch: 123, iters: 248, time: 0.632) D_A: 0.252 G_A: 1.779 vgg: 0.833 D_P: 0.281 
(epoch: 123, iters: 348, time: 0.232) D_A: 0.251 G_A: 1.818 vgg: 0.563 D_P: 0.079 
(epoch: 123, iters: 448, time: 0.232) D_A: 0.251 G_A: 1.597 vgg: 0.183 D_P: 0.202 
(epoch: 123, iters: 548, time: 0.681) D_A: 0.251 G_A: 1.953 vgg: 0.484 D_P: 0.101 
(epoch: 123, iters: 648, time: 0.232) D_A: 0.254 G_A: 1.824 vgg: 0.407 D_P: 0.365 
(epoch: 123, iters: 748, time: 0.232) D_A: 0.252 G_A: 1.562 vgg: 0.121 D_P: 0.255 
(epoch: 123, iters: 848, time: 0.698) D_A: 0.250 G_A: 1.471 vgg: 0.173 D_P: 0.263 
(epoch: 123, iters: 948, time: 0.231) D_A: 0.252 G_A: 1.934 vgg: 0.269 D_P: 0.273 
End of epoch 123 / 200 	 Time Taken: 236 sec
update learning rate: 0.000078 -> 0.000077
(epoch: 124, iters: 32, time: 0.232) D_A: 0.251 G_A: 1.682 vgg: 0.854 D_P: 0.084 
saving the latest model (epoch 124, total_steps 125000)
(epoch: 124, iters: 132, time: 0.694) D_A: 0.256 G_A: 1.535 vgg: 0.349 D_P: 0.176 
(epoch: 124, iters: 232, time: 0.231) D_A: 0.252 G_A: 1.484 vgg: 0.139 D_P: 0.275 
(epoch: 124, iters: 332, time: 0.232) D_A: 0.251 G_A: 1.724 vgg: 0.158 D_P: 0.149 
(epoch: 124, iters: 432, time: 0.707) D_A: 0.251 G_A: 1.631 vgg: 0.429 D_P: 0.170 
(epoch: 124, iters: 532, time: 0.232) D_A: 0.251 G_A: 1.730 vgg: 0.238 D_P: 0.164 
(epoch: 124, iters: 632, time: 0.231) D_A: 0.251 G_A: 1.510 vgg: 0.257 D_P: 0.393 
(epoch: 124, iters: 732, time: 0.635) D_A: 0.277 G_A: 1.258 vgg: 0.266 D_P: 0.294 
(epoch: 124, iters: 832, time: 0.232) D_A: 0.254 G_A: 1.618 vgg: 0.133 D_P: 0.186 
(epoch: 124, iters: 932, time: 0.232) D_A: 0.253 G_A: 1.625 vgg: 1.257 D_P: 0.210 
End of epoch 124 / 200 	 Time Taken: 237 sec
update learning rate: 0.000077 -> 0.000076
(epoch: 125, iters: 16, time: 0.686) D_A: 0.252 G_A: 1.591 vgg: 0.328 D_P: 0.151 
(epoch: 125, iters: 116, time: 0.232) D_A: 0.253 G_A: 1.637 vgg: 0.169 D_P: 0.239 
(epoch: 125, iters: 216, time: 0.232) D_A: 0.253 G_A: 1.795 vgg: 0.474 D_P: 0.136 
(epoch: 125, iters: 316, time: 0.695) D_A: 0.251 G_A: 1.494 vgg: 0.138 D_P: 0.217 
(epoch: 125, iters: 416, time: 0.232) D_A: 0.251 G_A: 1.994 vgg: 0.517 D_P: 0.039 
(epoch: 125, iters: 516, time: 0.232) D_A: 0.251 G_A: 1.732 vgg: 0.568 D_P: 0.200 
(epoch: 125, iters: 616, time: 0.755) D_A: 0.251 G_A: 1.882 vgg: 0.368 D_P: 0.055 
(epoch: 125, iters: 716, time: 0.232) D_A: 0.251 G_A: 1.704 vgg: 0.105 D_P: 0.104 
(epoch: 125, iters: 816, time: 0.232) D_A: 0.254 G_A: 1.573 vgg: 0.473 D_P: 0.174 
(epoch: 125, iters: 916, time: 0.657) D_A: 0.257 G_A: 1.664 vgg: 0.309 D_P: 0.188 
(epoch: 125, iters: 1016, time: 0.231) D_A: 0.253 G_A: 1.572 vgg: 0.104 D_P: 0.185 
saving the model at the end of epoch 125, iters 127000
End of epoch 125 / 200 	 Time Taken: 237 sec
update learning rate: 0.000076 -> 0.000075
(epoch: 126, iters: 100, time: 0.232) D_A: 0.250 G_A: 1.639 vgg: 0.597 D_P: 0.221 
(epoch: 126, iters: 200, time: 0.619) D_A: 0.251 G_A: 2.117 vgg: 0.991 D_P: 0.052 
(epoch: 126, iters: 300, time: 0.232) D_A: 0.251 G_A: 1.701 vgg: 0.287 D_P: 0.104 
(epoch: 126, iters: 400, time: 0.232) D_A: 0.251 G_A: 1.603 vgg: 0.337 D_P: 0.175 
(epoch: 126, iters: 500, time: 0.664) D_A: 0.250 G_A: 1.874 vgg: 0.259 D_P: 0.130 
(epoch: 126, iters: 600, time: 0.232) D_A: 0.250 G_A: 1.562 vgg: 0.143 D_P: 0.192 
(epoch: 126, iters: 700, time: 0.232) D_A: 0.252 G_A: 1.762 vgg: 0.390 D_P: 0.227 
(epoch: 126, iters: 800, time: 0.757) D_A: 0.251 G_A: 1.701 vgg: 0.160 D_P: 0.146 
(epoch: 126, iters: 900, time: 0.231) D_A: 0.251 G_A: 1.647 vgg: 0.114 D_P: 0.256 
(epoch: 126, iters: 1000, time: 0.232) D_A: 0.252 G_A: 1.538 vgg: 0.432 D_P: 0.125 
End of epoch 126 / 200 	 Time Taken: 236 sec
update learning rate: 0.000075 -> 0.000074
(epoch: 127, iters: 84, time: 0.663) D_A: 0.252 G_A: 1.453 vgg: 0.142 D_P: 0.181 
(epoch: 127, iters: 184, time: 0.231) D_A: 0.250 G_A: 1.556 vgg: 0.332 D_P: 0.155 
(epoch: 127, iters: 284, time: 0.232) D_A: 0.251 G_A: 1.388 vgg: 0.188 D_P: 0.302 
(epoch: 127, iters: 384, time: 0.663) D_A: 0.252 G_A: 1.480 vgg: 0.192 D_P: 0.309 
(epoch: 127, iters: 484, time: 0.232) D_A: 0.251 G_A: 1.624 vgg: 0.180 D_P: 0.204 
(epoch: 127, iters: 584, time: 0.231) D_A: 0.256 G_A: 1.759 vgg: 0.381 D_P: 0.123 
(epoch: 127, iters: 684, time: 0.718) D_A: 0.261 G_A: 1.382 vgg: 0.205 D_P: 0.352 
(epoch: 127, iters: 784, time: 0.232) D_A: 0.252 G_A: 1.507 vgg: 0.220 D_P: 0.253 
(epoch: 127, iters: 884, time: 0.232) D_A: 0.251 G_A: 1.730 vgg: 0.139 D_P: 0.238 
(epoch: 127, iters: 984, time: 0.606) D_A: 0.251 G_A: 1.924 vgg: 0.461 D_P: 0.110 
End of epoch 127 / 200 	 Time Taken: 236 sec
update learning rate: 0.000074 -> 0.000073
(epoch: 128, iters: 68, time: 0.232) D_A: 0.251 G_A: 1.688 vgg: 0.193 D_P: 0.332 
(epoch: 128, iters: 168, time: 0.232) D_A: 0.252 G_A: 1.865 vgg: 0.300 D_P: 0.289 
(epoch: 128, iters: 268, time: 0.676) D_A: 0.251 G_A: 1.589 vgg: 0.376 D_P: 0.208 
(epoch: 128, iters: 368, time: 0.232) D_A: 0.253 G_A: 1.615 vgg: 0.170 D_P: 0.185 
(epoch: 128, iters: 468, time: 0.232) D_A: 0.250 G_A: 1.568 vgg: 0.476 D_P: 0.183 
(epoch: 128, iters: 568, time: 0.622) D_A: 0.251 G_A: 1.567 vgg: 0.365 D_P: 0.231 
(epoch: 128, iters: 668, time: 0.232) D_A: 0.251 G_A: 1.677 vgg: 0.178 D_P: 0.222 
(epoch: 128, iters: 768, time: 0.231) D_A: 0.251 G_A: 1.966 vgg: 1.189 D_P: 0.142 
(epoch: 128, iters: 868, time: 0.676) D_A: 0.252 G_A: 1.486 vgg: 0.221 D_P: 0.297 
(epoch: 128, iters: 968, time: 0.232) D_A: 0.251 G_A: 1.767 vgg: 0.220 D_P: 0.089 
saving the latest model (epoch 128, total_steps 130000)
End of epoch 128 / 200 	 Time Taken: 236 sec
update learning rate: 0.000073 -> 0.000072
(epoch: 129, iters: 52, time: 0.232) D_A: 0.256 G_A: 1.328 vgg: 0.256 D_P: 0.357 
(epoch: 129, iters: 152, time: 0.660) D_A: 0.251 G_A: 2.289 vgg: 0.400 D_P: 0.134 
(epoch: 129, iters: 252, time: 0.232) D_A: 0.252 G_A: 1.473 vgg: 0.288 D_P: 0.331 
(epoch: 129, iters: 352, time: 0.232) D_A: 0.250 G_A: 1.519 vgg: 0.156 D_P: 0.326 
(epoch: 129, iters: 452, time: 0.676) D_A: 0.251 G_A: 1.701 vgg: 0.100 D_P: 0.214 
(epoch: 129, iters: 552, time: 0.232) D_A: 0.251 G_A: 1.671 vgg: 0.319 D_P: 0.141 
(epoch: 129, iters: 652, time: 0.232) D_A: 0.251 G_A: 1.735 vgg: 0.347 D_P: 0.186 
(epoch: 129, iters: 752, time: 0.713) D_A: 0.253 G_A: 1.651 vgg: 0.162 D_P: 0.173 
(epoch: 129, iters: 852, time: 0.232) D_A: 0.252 G_A: 1.592 vgg: 0.329 D_P: 0.109 
(epoch: 129, iters: 952, time: 0.232) D_A: 0.252 G_A: 1.581 vgg: 0.128 D_P: 0.168 
End of epoch 129 / 200 	 Time Taken: 236 sec
update learning rate: 0.000072 -> 0.000071
(epoch: 130, iters: 36, time: 0.674) D_A: 0.251 G_A: 1.775 vgg: 1.334 D_P: 0.133 
(epoch: 130, iters: 136, time: 0.232) D_A: 0.251 G_A: 1.835 vgg: 0.404 D_P: 0.249 
(epoch: 130, iters: 236, time: 0.232) D_A: 0.251 G_A: 1.590 vgg: 0.229 D_P: 0.253 
(epoch: 130, iters: 336, time: 0.664) D_A: 0.250 G_A: 1.496 vgg: 0.442 D_P: 0.229 
(epoch: 130, iters: 436, time: 0.233) D_A: 0.259 G_A: 1.466 vgg: 0.229 D_P: 0.194 
(epoch: 130, iters: 536, time: 0.233) D_A: 0.251 G_A: 1.727 vgg: 0.128 D_P: 0.130 
(epoch: 130, iters: 636, time: 0.727) D_A: 0.251 G_A: 1.704 vgg: 0.346 D_P: 0.228 
(epoch: 130, iters: 736, time: 0.232) D_A: 0.252 G_A: 1.529 vgg: 0.500 D_P: 0.148 
(epoch: 130, iters: 836, time: 0.232) D_A: 0.251 G_A: 1.736 vgg: 0.499 D_P: 0.106 
(epoch: 130, iters: 936, time: 0.658) D_A: 0.251 G_A: 1.911 vgg: 0.298 D_P: 0.214 
saving the model at the end of epoch 130, iters 132080
End of epoch 130 / 200 	 Time Taken: 237 sec
update learning rate: 0.000071 -> 0.000070
(epoch: 131, iters: 20, time: 0.232) D_A: 0.253 G_A: 1.648 vgg: 0.313 D_P: 0.271 
(epoch: 131, iters: 120, time: 0.232) D_A: 0.250 G_A: 1.755 vgg: 0.364 D_P: 0.181 
(epoch: 131, iters: 220, time: 0.636) D_A: 0.251 G_A: 1.756 vgg: 0.784 D_P: 0.097 
(epoch: 131, iters: 320, time: 0.231) D_A: 0.250 G_A: 1.682 vgg: 0.134 D_P: 0.125 
(epoch: 131, iters: 420, time: 0.232) D_A: 0.254 G_A: 1.528 vgg: 0.171 D_P: 0.258 
(epoch: 131, iters: 520, time: 0.709) D_A: 0.253 G_A: 1.488 vgg: 0.145 D_P: 0.201 
(epoch: 131, iters: 620, time: 0.232) D_A: 0.251 G_A: 1.490 vgg: 0.146 D_P: 0.283 
(epoch: 131, iters: 720, time: 0.232) D_A: 0.251 G_A: 1.429 vgg: 0.211 D_P: 0.334 
(epoch: 131, iters: 820, time: 0.716) D_A: 0.252 G_A: 1.571 vgg: 0.205 D_P: 0.294 
(epoch: 131, iters: 920, time: 0.232) D_A: 0.252 G_A: 1.573 vgg: 0.395 D_P: 0.234 
End of epoch 131 / 200 	 Time Taken: 237 sec
update learning rate: 0.000070 -> 0.000069
(epoch: 132, iters: 4, time: 0.232) D_A: 0.254 G_A: 1.695 vgg: 0.269 D_P: 0.121 
(epoch: 132, iters: 104, time: 0.704) D_A: 0.251 G_A: 1.637 vgg: 0.325 D_P: 0.288 
(epoch: 132, iters: 204, time: 0.237) D_A: 0.252 G_A: 1.727 vgg: 0.121 D_P: 0.140 
(epoch: 132, iters: 304, time: 0.253) D_A: 0.251 G_A: 1.491 vgg: 0.112 D_P: 0.154 
(epoch: 132, iters: 404, time: 0.744) D_A: 0.251 G_A: 1.643 vgg: 0.167 D_P: 0.146 
(epoch: 132, iters: 504, time: 0.232) D_A: 0.251 G_A: 1.533 vgg: 0.322 D_P: 0.202 
 (epoch: 132, iters: 604, time: 0.231) D_A: 0.251 G_A: 1.757 vgg: 0.274 D_P: 0.085 
(epoch: 132, iters: 704, time: 0.649) D_A: 0.252 G_A: 1.700 vgg: 0.316 D_P: 0.183 
(epoch: 132, iters: 804, time: 0.228) D_A: 0.250 G_A: 1.551 vgg: 0.265 D_P: 0.160 
(epoch: 132, iters: 904, time: 0.229) D_A: 0.251 G_A: 1.632 vgg: 0.122 D_P: 0.298 
(epoch: 132, iters: 1004, time: 0.720) D_A: 0.251 G_A: 1.600 vgg: 0.483 D_P: 0.229 
End of epoch 132 / 200 	 Time Taken: 241 sec
update learning rate: 0.000069 -> 0.000068
(epoch: 133, iters: 88, time: 0.230) D_A: 0.250 G_A: 1.410 vgg: 0.237 D_P: 0.256 
(epoch: 133, iters: 188, time: 0.229) D_A: 0.254 G_A: 1.485 vgg: 0.322 D_P: 0.192 
(epoch: 133, iters: 288, time: 0.734) D_A: 0.252 G_A: 1.366 vgg: 0.137 D_P: 0.379 
(epoch: 133, iters: 388, time: 0.229) D_A: 0.251 G_A: 1.588 vgg: 0.128 D_P: 0.146 
(epoch: 133, iters: 488, time: 0.230) D_A: 0.251 G_A: 1.521 vgg: 0.262 D_P: 0.229 
(epoch: 133, iters: 588, time: 0.578) D_A: 0.250 G_A: 1.851 vgg: 0.343 D_P: 0.122 
(epoch: 133, iters: 688, time: 0.229) D_A: 0.251 G_A: 1.762 vgg: 0.196 D_P: 0.062 
(epoch: 133, iters: 788, time: 0.230) D_A: 0.250 G_A: 1.594 vgg: 0.220 D_P: 0.119 
(epoch: 133, iters: 888, time: 0.649) D_A: 0.251 G_A: 1.632 vgg: 0.249 D_P: 0.112 
saving the latest model (epoch 133, total_steps 135000)
(epoch: 133, iters: 988, time: 0.230) D_A: 0.250 G_A: 1.659 vgg: 0.677 D_P: 0.207 
End of epoch 133 / 200 	 Time Taken: 234 sec
update learning rate: 0.000068 -> 0.000067
(epoch: 134, iters: 72, time: 0.230) D_A: 0.250 G_A: 1.717 vgg: 0.155 D_P: 0.212 
(epoch: 134, iters: 172, time: 0.692) D_A: 0.251 G_A: 1.511 vgg: 0.464 D_P: 0.262 
(epoch: 134, iters: 272, time: 0.230) D_A: 0.251 G_A: 1.488 vgg: 0.161 D_P: 0.289 
(epoch: 134, iters: 372, time: 0.230) D_A: 0.251 G_A: 1.921 vgg: 0.193 D_P: 0.272 
(epoch: 134, iters: 472, time: 0.689) D_A: 0.250 G_A: 1.642 vgg: 0.186 D_P: 0.172 
(epoch: 134, iters: 572, time: 0.229) D_A: 0.250 G_A: 1.687 vgg: 0.759 D_P: 0.153 
(epoch: 134, iters: 672, time: 0.230) D_A: 0.251 G_A: 1.567 vgg: 0.153 D_P: 0.384 
(epoch: 134, iters: 772, time: 0.634) D_A: 0.251 G_A: 1.980 vgg: 0.281 D_P: 0.207 
(epoch: 134, iters: 872, time: 0.230) D_A: 0.251 G_A: 1.795 vgg: 0.137 D_P: 0.102 
(epoch: 134, iters: 972, time: 0.229) D_A: 0.250 G_A: 1.637 vgg: 0.366 D_P: 0.259 
End of epoch 134 / 200 	 Time Taken: 234 sec
update learning rate: 0.000067 -> 0.000066
(epoch: 135, iters: 56, time: 0.652) D_A: 0.253 G_A: 1.655 vgg: 0.168 D_P: 0.214 
(epoch: 135, iters: 156, time: 0.228) D_A: 0.254 G_A: 1.812 vgg: 0.245 D_P: 0.185 
(epoch: 135, iters: 256, time: 0.230) D_A: 0.252 G_A: 1.808 vgg: 0.223 D_P: 0.215 
(epoch: 135, iters: 356, time: 0.624) D_A: 0.251 G_A: 1.653 vgg: 0.357 D_P: 0.275 
(epoch: 135, iters: 456, time: 0.230) D_A: 0.254 G_A: 2.073 vgg: 0.667 D_P: 0.189 
(epoch: 135, iters: 556, time: 0.229) D_A: 0.252 G_A: 1.436 vgg: 0.346 D_P: 0.335 
(epoch: 135, iters: 656, time: 0.649) D_A: 0.252 G_A: 1.559 vgg: 0.257 D_P: 0.283 
(epoch: 135, iters: 756, time: 0.229) D_A: 0.250 G_A: 1.686 vgg: 0.172 D_P: 0.100 
(epoch: 135, iters: 856, time: 0.229) D_A: 0.255 G_A: 1.619 vgg: 0.148 D_P: 0.203 
(epoch: 135, iters: 956, time: 0.649) D_A: 0.251 G_A: 1.620 vgg: 0.429 D_P: 0.263 
saving the model at the end of epoch 135, iters 137160
End of epoch 135 / 200 	 Time Taken: 235 sec
update learning rate: 0.000066 -> 0.000065
(epoch: 136, iters: 40, time: 0.230) D_A: 0.252 G_A: 1.439 vgg: 0.306 D_P: 0.371 
(epoch: 136, iters: 140, time: 0.230) D_A: 0.252 G_A: 1.954 vgg: 0.452 D_P: 0.021 
(epoch: 136, iters: 240, time: 0.727) D_A: 0.251 G_A: 1.686 vgg: 0.251 D_P: 0.171 
(epoch: 136, iters: 340, time: 0.230) D_A: 0.250 G_A: 1.646 vgg: 0.286 D_P: 0.197 
(epoch: 136, iters: 440, time: 0.230) D_A: 0.251 G_A: 1.849 vgg: 0.202 D_P: 0.178 
(epoch: 136, iters: 540, time: 0.728) D_A: 0.251 G_A: 1.788 vgg: 0.484 D_P: 0.179 
(epoch: 136, iters: 640, time: 0.230) D_A: 0.251 G_A: 1.591 vgg: 0.249 D_P: 0.222 
(epoch: 136, iters: 740, time: 0.229) D_A: 0.252 G_A: 1.391 vgg: 0.097 D_P: 0.291 
(epoch: 136, iters: 840, time: 0.692) D_A: 0.251 G_A: 1.665 vgg: 0.179 D_P: 0.135 
(epoch: 136, iters: 940, time: 0.230) D_A: 0.251 G_A: 1.686 vgg: 0.220 D_P: 0.160 
End of epoch 136 / 200 	 Time Taken: 234 sec
update learning rate: 0.000065 -> 0.000064
(epoch: 137, iters: 24, time: 0.230) D_A: 0.250 G_A: 1.735 vgg: 0.311 D_P: 0.263 
(epoch: 137, iters: 124, time: 0.643) D_A: 0.251 G_A: 1.608 vgg: 0.262 D_P: 0.183 
(epoch: 137, iters: 224, time: 0.230) D_A: 0.250 G_A: 1.699 vgg: 0.183 D_P: 0.126 
(epoch: 137, iters: 324, time: 0.230) D_A: 0.251 G_A: 1.717 vgg: 0.310 D_P: 0.205 
(epoch: 137, iters: 424, time: 0.681) D_A: 0.252 G_A: 1.611 vgg: 0.269 D_P: 0.204 
(epoch: 137, iters: 524, time: 0.230) D_A: 0.251 G_A: 1.905 vgg: 0.658 D_P: 0.167 
(epoch: 137, iters: 624, time: 0.229) D_A: 0.252 G_A: 1.681 vgg: 0.159 D_P: 0.285 
(epoch: 137, iters: 724, time: 0.624) D_A: 0.251 G_A: 2.340 vgg: 0.859 D_P: 0.095 
(epoch: 137, iters: 824, time: 0.230) D_A: 0.251 G_A: 1.730 vgg: 0.656 D_P: 0.124 
(epoch: 137, iters: 924, time: 0.230) D_A: 0.251 G_A: 1.626 vgg: 0.095 D_P: 0.145 
End of epoch 137 / 200 	 Time Taken: 234 sec
update learning rate: 0.000064 -> 0.000063
(epoch: 138, iters: 8, time: 0.659) D_A: 0.250 G_A: 1.575 vgg: 0.172 D_P: 0.211 
(epoch: 138, iters: 108, time: 0.230) D_A: 0.251 G_A: 1.461 vgg: 0.311 D_P: 0.234 
(epoch: 138, iters: 208, time: 0.230) D_A: 0.253 G_A: 1.579 vgg: 0.894 D_P: 0.147 
(epoch: 138, iters: 308, time: 0.578) D_A: 0.250 G_A: 1.993 vgg: 0.388 D_P: 0.217 
(epoch: 138, iters: 408, time: 0.230) D_A: 0.250 G_A: 1.831 vgg: 0.491 D_P: 0.161 
(epoch: 138, iters: 508, time: 0.230) D_A: 0.250 G_A: 1.599 vgg: 0.141 D_P: 0.276 
(epoch: 138, iters: 608, time: 0.646) D_A: 0.251 G_A: 1.615 vgg: 0.306 D_P: 0.229 
(epoch: 138, iters: 708, time: 0.230) D_A: 0.250 G_A: 1.776 vgg: 0.237 D_P: 0.168 
(epoch: 138, iters: 808, time: 0.230) D_A: 0.251 G_A: 1.502 vgg: 0.296 D_P: 0.327 
saving the latest model (epoch 138, total_steps 140000)
(epoch: 138, iters: 908, time: 0.655) D_A: 0.251 G_A: 1.568 vgg: 0.177 D_P: 0.315 
(epoch: 138, iters: 1008, time: 0.230) D_A: 0.252 G_A: 1.819 vgg: 0.250 D_P: 0.312 
End of epoch 138 / 200 	 Time Taken: 235 sec
update learning rate: 0.000063 -> 0.000062
(epoch: 139, iters: 92, time: 0.230) D_A: 0.251 G_A: 1.527 vgg: 0.098 D_P: 0.411 
(epoch: 139, iters: 192, time: 0.635) D_A: 0.251 G_A: 1.793 vgg: 0.218 D_P: 0.090 
(epoch: 139, iters: 292, time: 0.230) D_A: 0.251 G_A: 1.612 vgg: 0.213 D_P: 0.140 
(epoch: 139, iters: 392, time: 0.230) D_A: 0.252 G_A: 1.830 vgg: 0.739 D_P: 0.135 
(epoch: 139, iters: 492, time: 0.658) D_A: 0.253 G_A: 1.654 vgg: 0.248 D_P: 0.201 
(epoch: 139, iters: 592, time: 0.230) D_A: 0.253 G_A: 1.632 vgg: 0.249 D_P: 0.317 
(epoch: 139, iters: 692, time: 0.230) D_A: 0.251 G_A: 1.662 vgg: 0.424 D_P: 0.177 
(epoch: 139, iters: 792, time: 0.640) D_A: 0.251 G_A: 1.736 vgg: 0.127 D_P: 0.162 
(epoch: 139, iters: 892, time: 0.230) D_A: 0.252 G_A: 1.518 vgg: 0.181 D_P: 0.249 
(epoch: 139, iters: 992, time: 0.230) D_A: 0.251 G_A: 1.755 vgg: 0.273 D_P: 0.308 
End of epoch 139 / 200 	 Time Taken: 234 sec
update learning rate: 0.000062 -> 0.000061
(epoch: 140, iters: 76, time: 0.676) D_A: 0.250 G_A: 1.673 vgg: 0.349 D_P: 0.122 
(epoch: 140, iters: 176, time: 0.229) D_A: 0.251 G_A: 1.535 vgg: 0.077 D_P: 0.254 
(epoch: 140, iters: 276, time: 0.230) D_A: 0.251 G_A: 1.673 vgg: 0.218 D_P: 0.133 
(epoch: 140, iters: 376, time: 0.664) D_A: 0.251 G_A: 1.583 vgg: 0.359 D_P: 0.239 
(epoch: 140, iters: 476, time: 0.230) D_A: 0.251 G_A: 1.589 vgg: 0.259 D_P: 0.129 
(epoch: 140, iters: 576, time: 0.230) D_A: 0.250 G_A: 1.972 vgg: 0.235 D_P: 0.063 
(epoch: 140, iters: 676, time: 0.699) D_A: 0.250 G_A: 1.556 vgg: 0.189 D_P: 0.315 
(epoch: 140, iters: 776, time: 0.230) D_A: 0.252 G_A: 1.589 vgg: 0.223 D_P: 0.278 
(epoch: 140, iters: 876, time: 0.230) D_A: 0.250 G_A: 1.531 vgg: 0.144 D_P: 0.230 
(epoch: 140, iters: 976, time: 0.608) D_A: 0.250 G_A: 1.516 vgg: 0.435 D_P: 0.194 
saving the model at the end of epoch 140, iters 142240
End of epoch 140 / 200 	 Time Taken: 235 sec
update learning rate: 0.000061 -> 0.000060
(epoch: 141, iters: 60, time: 0.230) D_A: 0.250 G_A: 2.654 vgg: 0.419 D_P: 0.141 
(epoch: 141, iters: 160, time: 0.231) D_A: 0.252 G_A: 1.684 vgg: 0.409 D_P: 0.156 
(epoch: 141, iters: 260, time: 0.688) D_A: 0.250 G_A: 1.561 vgg: 0.278 D_P: 0.198 
(epoch: 141, iters: 360, time: 0.230) D_A: 0.251 G_A: 1.493 vgg: 0.333 D_P: 0.247 
(epoch: 141, iters: 460, time: 0.230) D_A: 0.250 G_A: 1.637 vgg: 0.280 D_P: 0.193 
(epoch: 141, iters: 560, time: 0.641) D_A: 0.251 G_A: 1.602 vgg: 0.268 D_P: 0.306 
(epoch: 141, iters: 660, time: 0.230) D_A: 0.251 G_A: 1.842 vgg: 0.319 D_P: 0.245 
(epoch: 141, iters: 760, time: 0.230) D_A: 0.251 G_A: 1.691 vgg: 0.406 D_P: 0.152 
(epoch: 141, iters: 860, time: 0.682) D_A: 0.252 G_A: 1.791 vgg: 0.148 D_P: 0.258 
(epoch: 141, iters: 960, time: 0.230) D_A: 0.250 G_A: 1.631 vgg: 0.186 D_P: 0.279 
End of epoch 141 / 200 	 Time Taken: 235 sec
update learning rate: 0.000060 -> 0.000059
(epoch: 142, iters: 44, time: 0.230) D_A: 0.251 G_A: 1.582 vgg: 0.143 D_P: 0.227 
(epoch: 142, iters: 144, time: 0.673) D_A: 0.251 G_A: 1.622 vgg: 0.517 D_P: 0.108 
(epoch: 142, iters: 244, time: 0.230) D_A: 0.251 G_A: 1.631 vgg: 0.379 D_P: 0.249 
(epoch: 142, iters: 344, time: 0.230) D_A: 0.250 G_A: 1.806 vgg: 0.157 D_P: 0.218 
(epoch: 142, iters: 444, time: 0.688) D_A: 0.252 G_A: 1.596 vgg: 0.246 D_P: 0.286 
(epoch: 142, iters: 544, time: 0.230) D_A: 0.251 G_A: 1.704 vgg: 0.174 D_P: 0.245 
(epoch: 142, iters: 644, time: 0.230) D_A: 0.251 G_A: 1.582 vgg: 0.217 D_P: 0.255 
(epoch: 142, iters: 744, time: 0.694) D_A: 0.250 G_A: 1.627 vgg: 0.261 D_P: 0.269 
(epoch: 142, iters: 844, time: 0.231) D_A: 0.250 G_A: 1.928 vgg: 0.322 D_P: 0.055 
(epoch: 142, iters: 944, time: 0.231) D_A: 0.251 G_A: 1.768 vgg: 0.240 D_P: 0.219 
End of epoch 142 / 200 	 Time Taken: 235 sec
update learning rate: 0.000059 -> 0.000058
(epoch: 143, iters: 28, time: 0.759) D_A: 0.250 G_A: 1.532 vgg: 0.149 D_P: 0.151 
(epoch: 143, iters: 128, time: 0.230) D_A: 0.250 G_A: 1.609 vgg: 0.389 D_P: 0.192 
(epoch: 143, iters: 228, time: 0.230) D_A: 0.251 G_A: 1.655 vgg: 0.388 D_P: 0.154 
(epoch: 143, iters: 328, time: 0.686) D_A: 0.251 G_A: 1.757 vgg: 0.221 D_P: 0.272 
(epoch: 143, iters: 428, time: 0.230) D_A: 0.250 G_A: 1.615 vgg: 0.147 D_P: 0.142 
(epoch: 143, iters: 528, time: 0.229) D_A: 0.251 G_A: 2.071 vgg: 0.371 D_P: 0.061 
(epoch: 143, iters: 628, time: 0.728) D_A: 0.251 G_A: 1.606 vgg: 0.244 D_P: 0.360 
(epoch: 143, iters: 728, time: 0.230) D_A: 0.251 G_A: 1.688 vgg: 0.405 D_P: 0.117 
saving the latest model (epoch 143, total_steps 145000)
(epoch: 143, iters: 828, time: 0.230) D_A: 0.250 G_A: 1.475 vgg: 0.299 D_P: 0.173 
(epoch: 143, iters: 928, time: 0.581) D_A: 0.251 G_A: 1.685 vgg: 0.751 D_P: 0.223 
End of epoch 143 / 200 	 Time Taken: 235 sec
update learning rate: 0.000058 -> 0.000057
(epoch: 144, iters: 12, time: 0.231) D_A: 0.251 G_A: 1.700 vgg: 0.777 D_P: 0.204 
(epoch: 144, iters: 112, time: 0.230) D_A: 0.254 G_A: 1.391 vgg: 0.285 D_P: 0.305 
(epoch: 144, iters: 212, time: 0.714) D_A: 0.251 G_A: 1.498 vgg: 0.505 D_P: 0.176 
(epoch: 144, iters: 312, time: 0.230) D_A: 0.251 G_A: 1.393 vgg: 0.232 D_P: 0.315 
(epoch: 144, iters: 412, time: 0.229) D_A: 0.251 G_A: 1.777 vgg: 0.330 D_P: 0.251 
(epoch: 144, iters: 512, time: 0.703) D_A: 0.257 G_A: 1.587 vgg: 0.115 D_P: 0.201 
(epoch: 144, iters: 612, time: 0.229) D_A: 0.252 G_A: 1.720 vgg: 0.295 D_P: 0.187 
(epoch: 144, iters: 712, time: 0.230) D_A: 0.252 G_A: 1.551 vgg: 0.194 D_P: 0.298 
(epoch: 144, iters: 812, time: 0.698) D_A: 0.251 G_A: 1.647 vgg: 0.133 D_P: 0.135 
(epoch: 144, iters: 912, time: 0.230) D_A: 0.251 G_A: 1.532 vgg: 0.137 D_P: 0.311 
(epoch: 144, iters: 1012, time: 0.230) D_A: 0.250 G_A: 1.555 vgg: 0.321 D_P: 0.323 
End of epoch 144 / 200 	 Time Taken: 235 sec
update learning rate: 0.000057 -> 0.000056
(epoch: 145, iters: 96, time: 0.708) D_A: 0.250 G_A: 1.933 vgg: 0.257 D_P: 0.032 
(epoch: 145, iters: 196, time: 0.230) D_A: 0.251 G_A: 1.346 vgg: 0.165 D_P: 0.317 
(epoch: 145, iters: 296, time: 0.229) D_A: 0.250 G_A: 1.744 vgg: 0.255 D_P: 0.160 
(epoch: 145, iters: 396, time: 0.779) D_A: 0.250 G_A: 1.743 vgg: 0.219 D_P: 0.076 
(epoch: 145, iters: 496, time: 0.230) D_A: 0.252 G_A: 1.567 vgg: 0.380 D_P: 0.244 
(epoch: 145, iters: 596, time: 0.230) D_A: 0.251 G_A: 1.675 vgg: 0.235 D_P: 0.119 
(epoch: 145, iters: 696, time: 0.649) D_A: 0.252 G_A: 1.518 vgg: 0.147 D_P: 0.318 
(epoch: 145, iters: 796, time: 0.231) D_A: 0.250 G_A: 1.650 vgg: 0.230 D_P: 0.140 
(epoch: 145, iters: 896, time: 0.230) D_A: 0.251 G_A: 1.595 vgg: 0.344 D_P: 0.186 
(epoch: 145, iters: 996, time: 0.719) D_A: 0.250 G_A: 1.700 vgg: 0.147 D_P: 0.163 
saving the model at the end of epoch 145, iters 147320
End of epoch 145 / 200 	 Time Taken: 236 sec
update learning rate: 0.000056 -> 0.000055
(epoch: 146, iters: 80, time: 0.231) D_A: 0.250 G_A: 1.616 vgg: 0.191 D_P: 0.210 
(epoch: 146, iters: 180, time: 0.230) D_A: 0.250 G_A: 1.639 vgg: 0.796 D_P: 0.139 
(epoch: 146, iters: 280, time: 0.678) D_A: 0.250 G_A: 1.492 vgg: 0.298 D_P: 0.329 
(epoch: 146, iters: 380, time: 0.230) D_A: 0.251 G_A: 1.954 vgg: 0.359 D_P: 0.085 
(epoch: 146, iters: 480, time: 0.230) D_A: 0.250 G_A: 1.752 vgg: 0.207 D_P: 0.218 
(epoch: 146, iters: 580, time: 0.684) D_A: 0.250 G_A: 1.780 vgg: 0.797 D_P: 0.180 
(epoch: 146, iters: 680, time: 0.230) D_A: 0.250 G_A: 2.129 vgg: 1.043 D_P: 0.184 
(epoch: 146, iters: 780, time: 0.229) D_A: 0.250 G_A: 1.825 vgg: 0.353 D_P: 0.179 
(epoch: 146, iters: 880, time: 0.610) D_A: 0.252 G_A: 1.346 vgg: 0.292 D_P: 0.282 
(epoch: 146, iters: 980, time: 0.229) D_A: 0.250 G_A: 1.891 vgg: 0.242 D_P: 0.096 
End of epoch 146 / 200 	 Time Taken: 235 sec
update learning rate: 0.000055 -> 0.000054
(epoch: 147, iters: 64, time: 0.231) D_A: 0.250 G_A: 1.879 vgg: 0.739 D_P: 0.069 
(epoch: 147, iters: 164, time: 0.686) D_A: 0.250 G_A: 1.614 vgg: 0.209 D_P: 0.260 
(epoch: 147, iters: 264, time: 0.230) D_A: 0.250 G_A: 1.802 vgg: 0.681 D_P: 0.194 
(epoch: 147, iters: 364, time: 0.231) D_A: 0.250 G_A: 1.649 vgg: 0.445 D_P: 0.118 
(epoch: 147, iters: 464, time: 0.700) D_A: 0.250 G_A: 1.872 vgg: 0.331 D_P: 0.092 
(epoch: 147, iters: 564, time: 0.230) D_A: 0.250 G_A: 1.653 vgg: 0.141 D_P: 0.195 
(epoch: 147, iters: 664, time: 0.230) D_A: 0.250 G_A: 1.991 vgg: 0.793 D_P: 0.062 
(epoch: 147, iters: 764, time: 0.688) D_A: 0.250 G_A: 1.573 vgg: 0.235 D_P: 0.144 
(epoch: 147, iters: 864, time: 0.230) D_A: 0.250 G_A: 1.748 vgg: 0.221 D_P: 0.161 
(epoch: 147, iters: 964, time: 0.230) D_A: 0.251 G_A: 1.750 vgg: 0.330 D_P: 0.136 
End of epoch 147 / 200 	 Time Taken: 235 sec
update learning rate: 0.000054 -> 0.000053
(epoch: 148, iters: 48, time: 0.716) D_A: 0.250 G_A: 1.524 vgg: 0.265 D_P: 0.125 
(epoch: 148, iters: 148, time: 0.230) D_A: 0.251 G_A: 1.539 vgg: 0.156 D_P: 0.252 
(epoch: 148, iters: 248, time: 0.230) D_A: 0.251 G_A: 1.549 vgg: 0.172 D_P: 0.324 
(epoch: 148, iters: 348, time: 0.628) D_A: 0.250 G_A: 1.953 vgg: 0.606 D_P: 0.106 
(epoch: 148, iters: 448, time: 0.230) D_A: 0.251 G_A: 1.652 vgg: 0.285 D_P: 0.146 
(epoch: 148, iters: 548, time: 0.230) D_A: 0.250 G_A: 1.641 vgg: 0.492 D_P: 0.230 
(epoch: 148, iters: 648, time: 0.674) D_A: 0.250 G_A: 1.728 vgg: 0.268 D_P: 0.167 
saving the latest model (epoch 148, total_steps 150000)
(epoch: 148, iters: 748, time: 0.229) D_A: 0.250 G_A: 1.572 vgg: 0.122 D_P: 0.161 
(epoch: 148, iters: 848, time: 0.230) D_A: 0.250 G_A: 1.613 vgg: 0.163 D_P: 0.117 
(epoch: 148, iters: 948, time: 0.643) D_A: 0.253 G_A: 1.810 vgg: 0.218 D_P: 0.051 
End of epoch 148 / 200 	 Time Taken: 236 sec
update learning rate: 0.000053 -> 0.000052
(epoch: 149, iters: 32, time: 0.230) D_A: 0.250 G_A: 1.684 vgg: 0.334 D_P: 0.317 
(epoch: 149, iters: 132, time: 0.230) D_A: 0.251 G_A: 1.805 vgg: 0.556 D_P: 0.167 
(epoch: 149, iters: 232, time: 0.697) D_A: 0.251 G_A: 2.012 vgg: 0.381 D_P: 0.040 
(epoch: 149, iters: 332, time: 0.231) D_A: 0.251 G_A: 1.538 vgg: 0.096 D_P: 0.193 
(epoch: 149, iters: 432, time: 0.230) D_A: 0.250 G_A: 1.673 vgg: 0.152 D_P: 0.148 
(epoch: 149, iters: 532, time: 0.792) D_A: 0.251 G_A: 1.776 vgg: 0.451 D_P: 0.128 
(epoch: 149, iters: 632, time: 0.230) D_A: 0.251 G_A: 1.513 vgg: 0.270 D_P: 0.241 
(epoch: 149, iters: 732, time: 0.230) D_A: 0.250 G_A: 1.583 vgg: 0.166 D_P: 0.226 
(epoch: 149, iters: 832, time: 0.677) D_A: 0.250 G_A: 1.749 vgg: 0.358 D_P: 0.078 
(epoch: 149, iters: 932, time: 0.229) D_A: 0.250 G_A: 1.841 vgg: 0.315 D_P: 0.127 
End of epoch 149 / 200 	 Time Taken: 235 sec
update learning rate: 0.000052 -> 0.000051
(epoch: 150, iters: 16, time: 0.230) D_A: 0.250 G_A: 1.511 vgg: 0.674 D_P: 0.154 
(epoch: 150, iters: 116, time: 0.626) D_A: 0.250 G_A: 1.717 vgg: 0.486 D_P: 0.237 
(epoch: 150, iters: 216, time: 0.230) D_A: 0.251 G_A: 1.665 vgg: 0.391 D_P: 0.206 
(epoch: 150, iters: 316, time: 0.231) D_A: 0.250 G_A: 1.915 vgg: 0.109 D_P: 0.150 
(epoch: 150, iters: 416, time: 0.675) D_A: 0.251 G_A: 1.553 vgg: 0.259 D_P: 0.224 
(epoch: 150, iters: 516, time: 0.230) D_A: 0.251 G_A: 1.874 vgg: 0.259 D_P: 0.136 
(epoch: 150, iters: 616, time: 0.230) D_A: 0.250 G_A: 1.624 vgg: 0.187 D_P: 0.145 
(epoch: 150, iters: 716, time: 0.690) D_A: 0.250 G_A: 1.607 vgg: 0.246 D_P: 0.203 
(epoch: 150, iters: 816, time: 0.230) D_A: 0.250 G_A: 1.700 vgg: 0.368 D_P: 0.151 
(epoch: 150, iters: 916, time: 0.230) D_A: 0.250 G_A: 1.823 vgg: 0.223 D_P: 0.085 
(epoch: 150, iters: 1016, time: 0.722) D_A: 0.251 G_A: 1.648 vgg: 0.254 D_P: 0.149 
saving the model at the end of epoch 150, iters 152400
End of epoch 150 / 200 	 Time Taken: 236 sec
update learning rate: 0.000051 -> 0.000050
(epoch: 151, iters: 100, time: 0.230) D_A: 0.250 G_A: 1.930 vgg: 0.368 D_P: 0.108 
(epoch: 151, iters: 200, time: 0.230) D_A: 0.250 G_A: 1.782 vgg: 0.116 D_P: 0.122 
(epoch: 151, iters: 300, time: 0.640) D_A: 0.250 G_A: 1.413 vgg: 0.296 D_P: 0.263 
(epoch: 151, iters: 400, time: 0.230) D_A: 0.251 G_A: 1.614 vgg: 0.250 D_P: 0.119 
(epoch: 151, iters: 500, time: 0.230) D_A: 0.250 G_A: 1.720 vgg: 0.295 D_P: 0.238 
(epoch: 151, iters: 600, time: 0.713) D_A: 0.250 G_A: 1.755 vgg: 0.304 D_P: 0.088 
(epoch: 151, iters: 700, time: 0.230) D_A: 0.253 G_A: 1.803 vgg: 0.275 D_P: 0.142 
(epoch: 151, iters: 800, time: 0.231) D_A: 0.251 G_A: 1.748 vgg: 0.669 D_P: 0.217 
(epoch: 151, iters: 900, time: 0.707) D_A: 0.252 G_A: 1.585 vgg: 0.114 D_P: 0.195 
(epoch: 151, iters: 1000, time: 0.230) D_A: 0.250 G_A: 1.827 vgg: 0.386 D_P: 0.155 
End of epoch 151 / 200 	 Time Taken: 235 sec
update learning rate: 0.000050 -> 0.000049
(epoch: 152, iters: 84, time: 0.229) D_A: 0.251 G_A: 1.698 vgg: 0.191 D_P: 0.250 
(epoch: 152, iters: 184, time: 0.667) D_A: 0.250 G_A: 1.625 vgg: 0.199 D_P: 0.251 
(epoch: 152, iters: 284, time: 0.230) D_A: 0.250 G_A: 1.767 vgg: 1.047 D_P: 0.073 
(epoch: 152, iters: 384, time: 0.230) D_A: 0.250 G_A: 1.527 vgg: 0.130 D_P: 0.203 
(epoch: 152, iters: 484, time: 0.687) D_A: 0.254 G_A: 1.506 vgg: 0.527 D_P: 0.166 
(epoch: 152, iters: 584, time: 0.230) D_A: 0.250 G_A: 1.586 vgg: 0.341 D_P: 0.266 
(epoch: 152, iters: 684, time: 0.230) D_A: 0.250 G_A: 1.502 vgg: 0.333 D_P: 0.333 
(epoch: 152, iters: 784, time: 0.741) D_A: 0.250 G_A: 1.659 vgg: 0.164 D_P: 0.222 
(epoch: 152, iters: 884, time: 0.230) D_A: 0.252 G_A: 1.515 vgg: 0.379 D_P: 0.165 
(epoch: 152, iters: 984, time: 0.231) D_A: 0.250 G_A: 1.761 vgg: 0.294 D_P: 0.136 
End of epoch 152 / 200 	 Time Taken: 235 sec
update learning rate: 0.000049 -> 0.000048
(epoch: 153, iters: 68, time: 0.667) D_A: 0.250 G_A: 1.697 vgg: 0.229 D_P: 0.132 
(epoch: 153, iters: 168, time: 0.230) D_A: 0.250 G_A: 1.631 vgg: 0.156 D_P: 0.165 
(epoch: 153, iters: 268, time: 0.230) D_A: 0.251 G_A: 1.827 vgg: 0.270 D_P: 0.110 
(epoch: 153, iters: 368, time: 0.654) D_A: 0.250 G_A: 1.536 vgg: 0.316 D_P: 0.160 
(epoch: 153, iters: 468, time: 0.230) D_A: 0.250 G_A: 1.650 vgg: 0.250 D_P: 0.174 
(epoch: 153, iters: 568, time: 0.230) D_A: 0.250 G_A: 1.589 vgg: 0.278 D_P: 0.306 
saving the latest model (epoch 153, total_steps 155000)
(epoch: 153, iters: 668, time: 0.699) D_A: 0.250 G_A: 1.780 vgg: 0.375 D_P: 0.166 
(epoch: 153, iters: 768, time: 0.230) D_A: 0.251 G_A: 2.121 vgg: 0.406 D_P: 0.154 
(epoch: 153, iters: 868, time: 0.230) D_A: 0.250 G_A: 1.524 vgg: 0.201 D_P: 0.192 
(epoch: 153, iters: 968, time: 0.662) D_A: 0.251 G_A: 2.005 vgg: 0.621 D_P: 0.054 
End of epoch 153 / 200 	 Time Taken: 235 sec
update learning rate: 0.000048 -> 0.000047
(epoch: 154, iters: 52, time: 0.230) D_A: 0.251 G_A: 1.600 vgg: 0.161 D_P: 0.299 
(epoch: 154, iters: 152, time: 0.230) D_A: 0.250 G_A: 1.809 vgg: 0.150 D_P: 0.126 
(epoch: 154, iters: 252, time: 0.728) D_A: 0.251 G_A: 1.520 vgg: 0.206 D_P: 0.271 
(epoch: 154, iters: 352, time: 0.230) D_A: 0.252 G_A: 1.485 vgg: 0.442 D_P: 0.350 
(epoch: 154, iters: 452, time: 0.230) D_A: 0.250 G_A: 1.685 vgg: 0.154 D_P: 0.077 
(epoch: 154, iters: 552, time: 0.664) D_A: 0.250 G_A: 1.544 vgg: 0.108 D_P: 0.219 
(epoch: 154, iters: 652, time: 0.230) D_A: 0.250 G_A: 1.466 vgg: 0.080 D_P: 0.256 
(epoch: 154, iters: 752, time: 0.231) D_A: 0.250 G_A: 1.603 vgg: 0.170 D_P: 0.206 
(epoch: 154, iters: 852, time: 0.644) D_A: 0.250 G_A: 1.720 vgg: 0.308 D_P: 0.165 
(epoch: 154, iters: 952, time: 0.231) D_A: 0.251 G_A: 1.887 vgg: 0.337 D_P: 0.181 
End of epoch 154 / 200 	 Time Taken: 235 sec
update learning rate: 0.000047 -> 0.000046
(epoch: 155, iters: 36, time: 0.230) D_A: 0.250 G_A: 1.844 vgg: 0.207 D_P: 0.162 
(epoch: 155, iters: 136, time: 0.650) D_A: 0.250 G_A: 1.579 vgg: 0.230 D_P: 0.399 
(epoch: 155, iters: 236, time: 0.230) D_A: 0.250 G_A: 1.798 vgg: 0.489 D_P: 0.099 
(epoch: 155, iters: 336, time: 0.230) D_A: 0.250 G_A: 1.940 vgg: 0.211 D_P: 0.242 
(epoch: 155, iters: 436, time: 0.700) D_A: 0.250 G_A: 1.708 vgg: 0.365 D_P: 0.117 
(epoch: 155, iters: 536, time: 0.230) D_A: 0.250 G_A: 1.762 vgg: 0.611 D_P: 0.154 
(epoch: 155, iters: 636, time: 0.230) D_A: 0.251 G_A: 1.516 vgg: 0.137 D_P: 0.359 
(epoch: 155, iters: 736, time: 0.705) D_A: 0.250 G_A: 1.686 vgg: 0.213 D_P: 0.082 
(epoch: 155, iters: 836, time: 0.230) D_A: 0.251 G_A: 1.714 vgg: 0.333 D_P: 0.243 
(epoch: 155, iters: 936, time: 0.230) D_A: 0.250 G_A: 1.750 vgg: 0.492 D_P: 0.149 
saving the model at the end of epoch 155, iters 157480
End of epoch 155 / 200 	 Time Taken: 237 sec
update learning rate: 0.000046 -> 0.000045
(epoch: 156, iters: 20, time: 0.669) D_A: 0.250 G_A: 1.846 vgg: 0.386 D_P: 0.250 
(epoch: 156, iters: 120, time: 0.230) D_A: 0.250 G_A: 1.518 vgg: 0.112 D_P: 0.270 
(epoch: 156, iters: 220, time: 0.231) D_A: 0.251 G_A: 1.622 vgg: 0.241 D_P: 0.159 
(epoch: 156, iters: 320, time: 0.640) D_A: 0.252 G_A: 1.499 vgg: 0.386 D_P: 0.367 
(epoch: 156, iters: 420, time: 0.230) D_A: 0.250 G_A: 1.643 vgg: 0.156 D_P: 0.146 
(epoch: 156, iters: 520, time: 0.230) D_A: 0.253 G_A: 1.399 vgg: 0.366 D_P: 0.223 
(epoch: 156, iters: 620, time: 0.684) D_A: 0.250 G_A: 1.873 vgg: 0.186 D_P: 0.053 
(epoch: 156, iters: 720, time: 0.230) D_A: 0.250 G_A: 1.712 vgg: 0.690 D_P: 0.130 
(epoch: 156, iters: 820, time: 0.230) D_A: 0.251 G_A: 1.688 vgg: 0.508 D_P: 0.207 
(epoch: 156, iters: 920, time: 0.678) D_A: 0.250 G_A: 1.482 vgg: 0.219 D_P: 0.275 
End of epoch 156 / 200 	 Time Taken: 235 sec
update learning rate: 0.000045 -> 0.000044
(epoch: 157, iters: 4, time: 0.231) D_A: 0.250 G_A: 1.897 vgg: 0.174 D_P: 0.111 
(epoch: 157, iters: 104, time: 0.230) D_A: 0.250 G_A: 1.447 vgg: 0.273 D_P: 0.187 
(epoch: 157, iters: 204, time: 0.648) D_A: 0.251 G_A: 1.751 vgg: 0.167 D_P: 0.127 
(epoch: 157, iters: 304, time: 0.230) D_A: 0.250 G_A: 1.410 vgg: 0.366 D_P: 0.463 
(epoch: 157, iters: 404, time: 0.230) D_A: 0.250 G_A: 1.893 vgg: 0.533 D_P: 0.224 
(epoch: 157, iters: 504, time: 0.679) D_A: 0.250 G_A: 1.838 vgg: 0.286 D_P: 0.097 
(epoch: 157, iters: 604, time: 0.231) D_A: 0.251 G_A: 1.592 vgg: 0.325 D_P: 0.131 
(epoch: 157, iters: 704, time: 0.231) D_A: 0.252 G_A: 1.495 vgg: 0.208 D_P: 0.168 
(epoch: 157, iters: 804, time: 0.665) D_A: 0.251 G_A: 1.545 vgg: 0.288 D_P: 0.197 
(epoch: 157, iters: 904, time: 0.231) D_A: 0.250 G_A: 1.785 vgg: 0.365 D_P: 0.070 
(epoch: 157, iters: 1004, time: 0.230) D_A: 0.250 G_A: 1.766 vgg: 0.315 D_P: 0.232 
End of epoch 157 / 200 	 Time Taken: 235 sec
update learning rate: 0.000044 -> 0.000043
(epoch: 158, iters: 88, time: 0.778) D_A: 0.250 G_A: 1.765 vgg: 0.691 D_P: 0.115 
(epoch: 158, iters: 188, time: 0.230) D_A: 0.250 G_A: 1.825 vgg: 0.275 D_P: 0.193 
(epoch: 158, iters: 288, time: 0.230) D_A: 0.253 G_A: 1.446 vgg: 0.110 D_P: 0.209 
(epoch: 158, iters: 388, time: 0.768) D_A: 0.250 G_A: 1.904 vgg: 0.212 D_P: 0.189 
(epoch: 158, iters: 488, time: 0.230) D_A: 0.250 G_A: 1.879 vgg: 0.322 D_P: 0.086 
saving the latest model (epoch 158, total_steps 160000)
(epoch: 158, iters: 588, time: 0.229) D_A: 0.250 G_A: 1.482 vgg: 0.127 D_P: 0.270 
(epoch: 158, iters: 688, time: 0.693) D_A: 0.250 G_A: 1.645 vgg: 0.180 D_P: 0.230 
(epoch: 158, iters: 788, time: 0.231) D_A: 0.252 G_A: 1.915 vgg: 0.534 D_P: 0.061 
(epoch: 158, iters: 888, time: 0.230) D_A: 0.250 G_A: 1.899 vgg: 0.916 D_P: 0.166 
(epoch: 158, iters: 988, time: 0.705) D_A: 0.250 G_A: 1.727 vgg: 0.115 D_P: 0.070 
End of epoch 158 / 200 	 Time Taken: 236 sec
update learning rate: 0.000043 -> 0.000042
(epoch: 159, iters: 72, time: 0.230) D_A: 0.250 G_A: 1.460 vgg: 0.084 D_P: 0.333 
(epoch: 159, iters: 172, time: 0.230) D_A: 0.250 G_A: 1.729 vgg: 0.315 D_P: 0.309 
(epoch: 159, iters: 272, time: 0.696) D_A: 0.250 G_A: 1.583 vgg: 0.179 D_P: 0.289 
(epoch: 159, iters: 372, time: 0.230) D_A: 0.250 G_A: 1.662 vgg: 0.232 D_P: 0.235 
(epoch: 159, iters: 472, time: 0.230) D_A: 0.251 G_A: 1.486 vgg: 0.392 D_P: 0.188 
(epoch: 159, iters: 572, time: 0.696) D_A: 0.250 G_A: 1.554 vgg: 0.175 D_P: 0.259 
(epoch: 159, iters: 672, time: 0.230) D_A: 0.250 G_A: 1.602 vgg: 0.193 D_P: 0.162 
(epoch: 159, iters: 772, time: 0.230) D_A: 0.250 G_A: 1.717 vgg: 0.391 D_P: 0.103 
(epoch: 159, iters: 872, time: 0.688) D_A: 0.251 G_A: 1.593 vgg: 0.588 D_P: 0.344 
(epoch: 159, iters: 972, time: 0.230) D_A: 0.250 G_A: 1.895 vgg: 0.383 D_P: 0.156 
End of epoch 159 / 200 	 Time Taken: 236 sec
update learning rate: 0.000042 -> 0.000041
(epoch: 160, iters: 56, time: 0.230) D_A: 0.251 G_A: 1.603 vgg: 0.233 D_P: 0.184 
(epoch: 160, iters: 156, time: 0.723) D_A: 0.250 G_A: 1.630 vgg: 0.447 D_P: 0.261 
(epoch: 160, iters: 256, time: 0.231) D_A: 0.250 G_A: 1.509 vgg: 0.123 D_P: 0.174 
(epoch: 160, iters: 356, time: 0.231) D_A: 0.251 G_A: 1.851 vgg: 0.353 D_P: 0.124 
(epoch: 160, iters: 456, time: 0.666) D_A: 0.250 G_A: 1.622 vgg: 0.347 D_P: 0.301 
(epoch: 160, iters: 556, time: 0.231) D_A: 0.250 G_A: 1.712 vgg: 0.383 D_P: 0.192 
(epoch: 160, iters: 656, time: 0.230) D_A: 0.250 G_A: 1.582 vgg: 0.305 D_P: 0.198 
(epoch: 160, iters: 756, time: 0.721) D_A: 0.250 G_A: 1.682 vgg: 0.155 D_P: 0.114 
(epoch: 160, iters: 856, time: 0.230) D_A: 0.250 G_A: 1.736 vgg: 0.284 D_P: 0.148 
(epoch: 160, iters: 956, time: 0.230) D_A: 0.250 G_A: 1.653 vgg: 0.766 D_P: 0.296 
saving the model at the end of epoch 160, iters 162560
End of epoch 160 / 200 	 Time Taken: 236 sec
update learning rate: 0.000041 -> 0.000040
(epoch: 161, iters: 40, time: 0.661) D_A: 0.250 G_A: 1.862 vgg: 0.359 D_P: 0.054 
(epoch: 161, iters: 140, time: 0.230) D_A: 0.250 G_A: 1.615 vgg: 0.087 D_P: 0.228 
(epoch: 161, iters: 240, time: 0.229) D_A: 0.250 G_A: 1.684 vgg: 0.788 D_P: 0.293 
(epoch: 161, iters: 340, time: 0.774) D_A: 0.250 G_A: 1.575 vgg: 0.508 D_P: 0.121 
(epoch: 161, iters: 440, time: 0.230) D_A: 0.250 G_A: 1.737 vgg: 0.195 D_P: 0.080 
(epoch: 161, iters: 540, time: 0.229) D_A: 0.250 G_A: 1.707 vgg: 0.114 D_P: 0.132 
(epoch: 161, iters: 640, time: 0.731) D_A: 0.250 G_A: 1.368 vgg: 0.324 D_P: 0.350 
(epoch: 161, iters: 740, time: 0.230) D_A: 0.250 G_A: 1.406 vgg: 0.154 D_P: 0.253 
(epoch: 161, iters: 840, time: 0.230) D_A: 0.250 G_A: 1.453 vgg: 0.502 D_P: 0.277 
(epoch: 161, iters: 940, time: 0.660) D_A: 0.250 G_A: 1.822 vgg: 0.410 D_P: 0.125 
End of epoch 161 / 200 	 Time Taken: 235 sec
update learning rate: 0.000040 -> 0.000039
(epoch: 162, iters: 24, time: 0.230) D_A: 0.250 G_A: 1.689 vgg: 0.199 D_P: 0.198 
(epoch: 162, iters: 124, time: 0.230) D_A: 0.250 G_A: 1.482 vgg: 0.449 D_P: 0.156 
(epoch: 162, iters: 224, time: 0.728) D_A: 0.250 G_A: 1.474 vgg: 0.101 D_P: 0.309 
(epoch: 162, iters: 324, time: 0.230) D_A: 0.250 G_A: 1.556 vgg: 0.226 D_P: 0.152 
(epoch: 162, iters: 424, time: 0.230) D_A: 0.250 G_A: 1.853 vgg: 0.910 D_P: 0.109 
(epoch: 162, iters: 524, time: 0.739) D_A: 0.250 G_A: 1.502 vgg: 0.268 D_P: 0.239 
(epoch: 162, iters: 624, time: 0.230) D_A: 0.250 G_A: 1.700 vgg: 0.181 D_P: 0.219 
(epoch: 162, iters: 724, time: 0.230) D_A: 0.250 G_A: 1.672 vgg: 0.248 D_P: 0.119 
(epoch: 162, iters: 824, time: 0.710) D_A: 0.250 G_A: 1.964 vgg: 0.604 D_P: 0.039 
(epoch: 162, iters: 924, time: 0.231) D_A: 0.250 G_A: 1.749 vgg: 0.288 D_P: 0.157 
End of epoch 162 / 200 	 Time Taken: 235 sec
update learning rate: 0.000039 -> 0.000038
(epoch: 163, iters: 8, time: 0.232) D_A: 0.250 G_A: 1.633 vgg: 0.315 D_P: 0.204 
(epoch: 163, iters: 108, time: 0.743) D_A: 0.250 G_A: 1.713 vgg: 0.203 D_P: 0.096 
(epoch: 163, iters: 208, time: 0.230) D_A: 0.250 G_A: 1.700 vgg: 0.172 D_P: 0.088 
(epoch: 163, iters: 308, time: 0.230) D_A: 0.250 G_A: 1.625 vgg: 0.347 D_P: 0.165 
(epoch: 163, iters: 408, time: 0.683) D_A: 0.250 G_A: 1.632 vgg: 0.153 D_P: 0.135 
saving the latest model (epoch 163, total_steps 165000)
(epoch: 163, iters: 508, time: 0.230) D_A: 0.251 G_A: 1.753 vgg: 0.280 D_P: 0.191 
(epoch: 163, iters: 608, time: 0.230) D_A: 0.250 G_A: 1.642 vgg: 0.388 D_P: 0.302 
(epoch: 163, iters: 708, time: 0.719) D_A: 0.251 G_A: 1.739 vgg: 0.157 D_P: 0.206 
(epoch: 163, iters: 808, time: 0.230) D_A: 0.250 G_A: 1.546 vgg: 0.362 D_P: 0.195 
(epoch: 163, iters: 908, time: 0.229) D_A: 0.250 G_A: 1.841 vgg: 0.472 D_P: 0.237 
(epoch: 163, iters: 1008, time: 0.668) D_A: 0.250 G_A: 1.418 vgg: 0.096 D_P: 0.312 
End of epoch 163 / 200 	 Time Taken: 236 sec
update learning rate: 0.000038 -> 0.000037
(epoch: 164, iters: 92, time: 0.230) D_A: 0.251 G_A: 1.684 vgg: 0.411 D_P: 0.245 
(epoch: 164, iters: 192, time: 0.230) D_A: 0.250 G_A: 1.686 vgg: 0.171 D_P: 0.092 
(epoch: 164, iters: 292, time: 0.729) D_A: 0.250 G_A: 1.482 vgg: 0.157 D_P: 0.154 
(epoch: 164, iters: 392, time: 0.230) D_A: 0.250 G_A: 1.577 vgg: 0.171 D_P: 0.295 
(epoch: 164, iters: 492, time: 0.230) D_A: 0.250 G_A: 1.531 vgg: 0.198 D_P: 0.181 
(epoch: 164, iters: 592, time: 0.795) D_A: 0.250 G_A: 1.553 vgg: 0.109 D_P: 0.359 
(epoch: 164, iters: 692, time: 0.230) D_A: 0.250 G_A: 1.706 vgg: 0.402 D_P: 0.152 
(epoch: 164, iters: 792, time: 0.230) D_A: 0.251 G_A: 1.838 vgg: 0.371 D_P: 0.202 
(epoch: 164, iters: 892, time: 0.763) D_A: 0.250 G_A: 1.656 vgg: 0.340 D_P: 0.177 
(epoch: 164, iters: 992, time: 0.230) D_A: 0.250 G_A: 1.815 vgg: 0.154 D_P: 0.150 
End of epoch 164 / 200 	 Time Taken: 236 sec
update learning rate: 0.000037 -> 0.000036
(epoch: 165, iters: 76, time: 0.229) D_A: 0.250 G_A: 1.510 vgg: 0.305 D_P: 0.265 
(epoch: 165, iters: 176, time: 0.744) D_A: 0.250 G_A: 1.542 vgg: 0.173 D_P: 0.329 
(epoch: 165, iters: 276, time: 0.230) D_A: 0.250 G_A: 1.578 vgg: 0.286 D_P: 0.176 
(epoch: 165, iters: 376, time: 0.231) D_A: 0.250 G_A: 2.190 vgg: 0.632 D_P: 0.182 
(epoch: 165, iters: 476, time: 0.754) D_A: 0.250 G_A: 1.730 vgg: 0.205 D_P: 0.214 
(epoch: 165, iters: 576, time: 0.230) D_A: 0.251 G_A: 1.654 vgg: 0.236 D_P: 0.269 
(epoch: 165, iters: 676, time: 0.230) D_A: 0.250 G_A: 1.761 vgg: 0.321 D_P: 0.242 
(epoch: 165, iters: 776, time: 0.673) D_A: 0.251 G_A: 1.472 vgg: 0.131 D_P: 0.324 
(epoch: 165, iters: 876, time: 0.231) D_A: 0.250 G_A: 1.809 vgg: 0.150 D_P: 0.168 
(epoch: 165, iters: 976, time: 0.229) D_A: 0.250 G_A: 1.568 vgg: 0.287 D_P: 0.196 
saving the model at the end of epoch 165, iters 167640
End of epoch 165 / 200 	 Time Taken: 237 sec
update learning rate: 0.000036 -> 0.000035
(epoch: 166, iters: 60, time: 0.667) D_A: 0.250 G_A: 1.651 vgg: 0.336 D_P: 0.127 
(epoch: 166, iters: 160, time: 0.230) D_A: 0.250 G_A: 1.708 vgg: 0.465 D_P: 0.205 
(epoch: 166, iters: 260, time: 0.230) D_A: 0.250 G_A: 1.544 vgg: 0.221 D_P: 0.344 
(epoch: 166, iters: 360, time: 0.696) D_A: 0.250 G_A: 1.542 vgg: 0.221 D_P: 0.270 
(epoch: 166, iters: 460, time: 0.231) D_A: 0.250 G_A: 1.815 vgg: 0.376 D_P: 0.243 
(epoch: 166, iters: 560, time: 0.231) D_A: 0.251 G_A: 1.968 vgg: 0.800 D_P: 0.066 
(epoch: 166, iters: 660, time: 0.652) D_A: 0.250 G_A: 1.618 vgg: 0.129 D_P: 0.162 
(epoch: 166, iters: 760, time: 0.230) D_A: 0.250 G_A: 1.771 vgg: 0.424 D_P: 0.187 
(epoch: 166, iters: 860, time: 0.229) D_A: 0.250 G_A: 1.567 vgg: 0.121 D_P: 0.132 
(epoch: 166, iters: 960, time: 0.759) D_A: 0.250 G_A: 1.495 vgg: 0.111 D_P: 0.224 
End of epoch 166 / 200 	 Time Taken: 235 sec
update learning rate: 0.000035 -> 0.000034
(epoch: 167, iters: 44, time: 0.230) D_A: 0.250 G_A: 1.783 vgg: 0.381 D_P: 0.146 
(epoch: 167, iters: 144, time: 0.230) D_A: 0.250 G_A: 1.626 vgg: 0.211 D_P: 0.103 
(epoch: 167, iters: 244, time: 0.662) D_A: 0.250 G_A: 1.727 vgg: 0.264 D_P: 0.176 
(epoch: 167, iters: 344, time: 0.230) D_A: 0.250 G_A: 1.785 vgg: 0.453 D_P: 0.200 
(epoch: 167, iters: 444, time: 0.231) D_A: 0.250 G_A: 1.680 vgg: 0.276 D_P: 0.098 
(epoch: 167, iters: 544, time: 0.741) D_A: 0.250 G_A: 1.569 vgg: 0.250 D_P: 0.176 
(epoch: 167, iters: 644, time: 0.230) D_A: 0.250 G_A: 1.907 vgg: 0.395 D_P: 0.076 
(epoch: 167, iters: 744, time: 0.230) D_A: 0.251 G_A: 1.792 vgg: 0.264 D_P: 0.049 
(epoch: 167, iters: 844, time: 0.725) D_A: 0.250 G_A: 1.904 vgg: 0.397 D_P: 0.081 
(epoch: 167, iters: 944, time: 0.229) D_A: 0.250 G_A: 1.672 vgg: 0.196 D_P: 0.112 
End of epoch 167 / 200 	 Time Taken: 236 sec
update learning rate: 0.000034 -> 0.000033
(epoch: 168, iters: 28, time: 0.231) D_A: 0.250 G_A: 1.664 vgg: 0.173 D_P: 0.157 
(epoch: 168, iters: 128, time: 0.727) D_A: 0.250 G_A: 1.844 vgg: 0.352 D_P: 0.153 
(epoch: 168, iters: 228, time: 0.229) D_A: 0.250 G_A: 1.901 vgg: 0.814 D_P: 0.086 
(epoch: 168, iters: 328, time: 0.230) D_A: 0.250 G_A: 1.692 vgg: 0.687 D_P: 0.159 
saving the latest model (epoch 168, total_steps 170000)
(epoch: 168, iters: 428, time: 0.739) D_A: 0.250 G_A: 1.946 vgg: 0.294 D_P: 0.064 
(epoch: 168, iters: 528, time: 0.230) D_A: 0.250 G_A: 1.759 vgg: 0.593 D_P: 0.150 
(epoch: 168, iters: 628, time: 0.229) D_A: 0.251 G_A: 1.817 vgg: 0.140 D_P: 0.091 
(epoch: 168, iters: 728, time: 0.751) D_A: 0.250 G_A: 1.721 vgg: 0.412 D_P: 0.124 
(epoch: 168, iters: 828, time: 0.229) D_A: 0.250 G_A: 1.815 vgg: 0.450 D_P: 0.113 
(epoch: 168, iters: 928, time: 0.230) D_A: 0.250 G_A: 1.599 vgg: 0.346 D_P: 0.131 
End of epoch 168 / 200 	 Time Taken: 236 sec
update learning rate: 0.000033 -> 0.000032
(epoch: 169, iters: 12, time: 0.704) D_A: 0.250 G_A: 1.531 vgg: 0.511 D_P: 0.278 
(epoch: 169, iters: 112, time: 0.230) D_A: 0.250 G_A: 1.761 vgg: 0.354 D_P: 0.058 
(epoch: 169, iters: 212, time: 0.230) D_A: 0.250 G_A: 1.624 vgg: 0.146 D_P: 0.163 
(epoch: 169, iters: 312, time: 0.639) D_A: 0.250 G_A: 1.944 vgg: 0.170 D_P: 0.123 
(epoch: 169, iters: 412, time: 0.230) D_A: 0.250 G_A: 1.753 vgg: 0.503 D_P: 0.092 
(epoch: 169, iters: 512, time: 0.231) D_A: 0.250 G_A: 1.648 vgg: 0.188 D_P: 0.259 
(epoch: 169, iters: 612, time: 0.698) D_A: 0.250 G_A: 1.644 vgg: 0.192 D_P: 0.277 
(epoch: 169, iters: 712, time: 0.230) D_A: 0.250 G_A: 2.069 vgg: 0.384 D_P: 0.140 
(epoch: 169, iters: 812, time: 0.230) D_A: 0.250 G_A: 1.747 vgg: 0.718 D_P: 0.146 
(epoch: 169, iters: 912, time: 0.686) D_A: 0.250 G_A: 1.752 vgg: 0.140 D_P: 0.159 
(epoch: 169, iters: 1012, time: 0.230) D_A: 0.250 G_A: 1.550 vgg: 0.163 D_P: 0.251 
End of epoch 169 / 200 	 Time Taken: 236 sec
update learning rate: 0.000032 -> 0.000031
(epoch: 170, iters: 96, time: 0.230) D_A: 0.250 G_A: 1.595 vgg: 0.225 D_P: 0.123 
(epoch: 170, iters: 196, time: 0.696) D_A: 0.250 G_A: 1.499 vgg: 0.122 D_P: 0.183 
(epoch: 170, iters: 296, time: 0.230) D_A: 0.250 G_A: 1.757 vgg: 0.097 D_P: 0.099 
(epoch: 170, iters: 396, time: 0.230) D_A: 0.250 G_A: 1.732 vgg: 0.168 D_P: 0.383 
(epoch: 170, iters: 496, time: 0.633) D_A: 0.250 G_A: 1.933 vgg: 0.240 D_P: 0.200 
(epoch: 170, iters: 596, time: 0.230) D_A: 0.250 G_A: 1.480 vgg: 0.154 D_P: 0.227 
(epoch: 170, iters: 696, time: 0.230) D_A: 0.250 G_A: 1.774 vgg: 0.156 D_P: 0.183 
(epoch: 170, iters: 796, time: 0.639) D_A: 0.250 G_A: 1.822 vgg: 0.488 D_P: 0.134 
(epoch: 170, iters: 896, time: 0.230) D_A: 0.250 G_A: 1.494 vgg: 0.141 D_P: 0.259 
(epoch: 170, iters: 996, time: 0.230) D_A: 0.250 G_A: 1.452 vgg: 0.191 D_P: 0.378 
saving the model at the end of epoch 170, iters 172720
End of epoch 170 / 200 	 Time Taken: 237 sec
update learning rate: 0.000031 -> 0.000030
(epoch: 171, iters: 80, time: 0.777) D_A: 0.250 G_A: 1.767 vgg: 0.105 D_P: 0.065 
(epoch: 171, iters: 180, time: 0.230) D_A: 0.250 G_A: 1.671 vgg: 0.333 D_P: 0.257 
(epoch: 171, iters: 280, time: 0.230) D_A: 0.250 G_A: 1.580 vgg: 0.151 D_P: 0.182 
(epoch: 171, iters: 380, time: 0.642) D_A: 0.251 G_A: 1.862 vgg: 0.224 D_P: 0.116 
(epoch: 171, iters: 480, time: 0.230) D_A: 0.250 G_A: 1.744 vgg: 0.185 D_P: 0.095 
(epoch: 171, iters: 580, time: 0.229) D_A: 0.250 G_A: 1.787 vgg: 0.493 D_P: 0.149 
(epoch: 171, iters: 680, time: 0.742) D_A: 0.250 G_A: 1.806 vgg: 0.093 D_P: 0.094 
(epoch: 171, iters: 780, time: 0.230) D_A: 0.250 G_A: 1.551 vgg: 0.142 D_P: 0.234 
(epoch: 171, iters: 880, time: 0.230) D_A: 0.250 G_A: 1.632 vgg: 0.132 D_P: 0.151 
(epoch: 171, iters: 980, time: 0.734) D_A: 0.250 G_A: 1.523 vgg: 0.413 D_P: 0.157 
End of epoch 171 / 200 	 Time Taken: 236 sec
update learning rate: 0.000030 -> 0.000029
(epoch: 172, iters: 64, time: 0.230) D_A: 0.250 G_A: 1.552 vgg: 0.188 D_P: 0.286 
(epoch: 172, iters: 164, time: 0.230) D_A: 0.250 G_A: 1.513 vgg: 0.348 D_P: 0.275 
(epoch: 172, iters: 264, time: 0.721) D_A: 0.250 G_A: 1.628 vgg: 0.553 D_P: 0.162 
(epoch: 172, iters: 364, time: 0.230) D_A: 0.250 G_A: 1.732 vgg: 0.111 D_P: 0.198 
(epoch: 172, iters: 464, time: 0.230) D_A: 0.250 G_A: 1.753 vgg: 0.242 D_P: 0.063 
(epoch: 172, iters: 564, time: 0.696) D_A: 0.250 G_A: 1.571 vgg: 0.118 D_P: 0.278 
(epoch: 172, iters: 664, time: 0.230) D_A: 0.250 G_A: 1.708 vgg: 0.307 D_P: 0.267 
(epoch: 172, iters: 764, time: 0.230) D_A: 0.250 G_A: 1.661 vgg: 0.382 D_P: 0.231 
(epoch: 172, iters: 864, time: 0.684) D_A: 0.251 G_A: 1.709 vgg: 1.073 D_P: 0.313 
(epoch: 172, iters: 964, time: 0.230) D_A: 0.250 G_A: 1.572 vgg: 0.172 D_P: 0.151 
End of epoch 172 / 200 	 Time Taken: 236 sec
update learning rate: 0.000029 -> 0.000028
(epoch: 173, iters: 48, time: 0.231) D_A: 0.250 G_A: 1.389 vgg: 0.322 D_P: 0.267 
(epoch: 173, iters: 148, time: 0.654) D_A: 0.250 G_A: 2.169 vgg: 0.545 D_P: 0.084 
(epoch: 173, iters: 248, time: 0.229) D_A: 0.250 G_A: 1.731 vgg: 0.135 D_P: 0.178 
saving the latest model (epoch 173, total_steps 175000)
(epoch: 173, iters: 348, time: 0.230) D_A: 0.250 G_A: 1.498 vgg: 0.392 D_P: 0.157 
(epoch: 173, iters: 448, time: 0.755) D_A: 0.252 G_A: 1.574 vgg: 0.119 D_P: 0.268 
(epoch: 173, iters: 548, time: 0.230) D_A: 0.250 G_A: 1.697 vgg: 0.373 D_P: 0.234 
(epoch: 173, iters: 648, time: 0.231) D_A: 0.250 G_A: 1.615 vgg: 0.210 D_P: 0.188 
(epoch: 173, iters: 748, time: 0.706) D_A: 0.250 G_A: 1.687 vgg: 0.277 D_P: 0.122 
(epoch: 173, iters: 848, time: 0.231) D_A: 0.250 G_A: 1.769 vgg: 0.167 D_P: 0.043 
(epoch: 173, iters: 948, time: 0.231) D_A: 0.250 G_A: 1.704 vgg: 0.597 D_P: 0.146 
End of epoch 173 / 200 	 Time Taken: 236 sec
update learning rate: 0.000028 -> 0.000027
(epoch: 174, iters: 32, time: 0.758) D_A: 0.250 G_A: 1.825 vgg: 0.183 D_P: 0.062 
(epoch: 174, iters: 132, time: 0.229) D_A: 0.250 G_A: 1.584 vgg: 0.344 D_P: 0.259 
(epoch: 174, iters: 232, time: 0.231) D_A: 0.251 G_A: 1.846 vgg: 0.203 D_P: 0.266 
(epoch: 174, iters: 332, time: 0.755) D_A: 0.250 G_A: 1.675 vgg: 0.172 D_P: 0.156 
(epoch: 174, iters: 432, time: 0.230) D_A: 0.251 G_A: 1.614 vgg: 0.301 D_P: 0.215 
(epoch: 174, iters: 532, time: 0.230) D_A: 0.250 G_A: 1.551 vgg: 0.314 D_P: 0.206 
(epoch: 174, iters: 632, time: 0.688) D_A: 0.250 G_A: 1.620 vgg: 0.147 D_P: 0.236 
(epoch: 174, iters: 732, time: 0.231) D_A: 0.250 G_A: 1.568 vgg: 0.354 D_P: 0.217 
(epoch: 174, iters: 832, time: 0.230) D_A: 0.250 G_A: 1.786 vgg: 0.530 D_P: 0.090 
(epoch: 174, iters: 932, time: 0.723) D_A: 0.250 G_A: 1.528 vgg: 0.337 D_P: 0.229 
End of epoch 174 / 200 	 Time Taken: 236 sec
update learning rate: 0.000027 -> 0.000026
(epoch: 175, iters: 16, time: 0.231) D_A: 0.250 G_A: 1.852 vgg: 1.064 D_P: 0.159 
(epoch: 175, iters: 116, time: 0.230) D_A: 0.250 G_A: 1.620 vgg: 0.081 D_P: 0.104 
(epoch: 175, iters: 216, time: 0.787) D_A: 0.250 G_A: 1.470 vgg: 0.164 D_P: 0.259 
(epoch: 175, iters: 316, time: 0.230) D_A: 0.250 G_A: 1.658 vgg: 0.137 D_P: 0.278 
(epoch: 175, iters: 416, time: 0.230) D_A: 0.250 G_A: 1.712 vgg: 0.129 D_P: 0.077 
(epoch: 175, iters: 516, time: 0.758) D_A: 0.250 G_A: 1.728 vgg: 0.136 D_P: 0.146 
(epoch: 175, iters: 616, time: 0.230) D_A: 0.250 G_A: 1.641 vgg: 0.160 D_P: 0.236 
(epoch: 175, iters: 716, time: 0.230) D_A: 0.250 G_A: 1.507 vgg: 0.078 D_P: 0.187 
(epoch: 175, iters: 816, time: 0.715) D_A: 0.250 G_A: 1.736 vgg: 0.176 D_P: 0.154 
(epoch: 175, iters: 916, time: 0.230) D_A: 0.251 G_A: 1.628 vgg: 0.249 D_P: 0.119 
(epoch: 175, iters: 1016, time: 0.230) D_A: 0.250 G_A: 1.699 vgg: 0.082 D_P: 0.178 
saving the model at the end of epoch 175, iters 177800
End of epoch 175 / 200 	 Time Taken: 237 sec
update learning rate: 0.000026 -> 0.000025
(epoch: 176, iters: 100, time: 0.744) D_A: 0.250 G_A: 1.756 vgg: 0.232 D_P: 0.159 
(epoch: 176, iters: 200, time: 0.230) D_A: 0.250 G_A: 1.628 vgg: 0.180 D_P: 0.268 
(epoch: 176, iters: 300, time: 0.230) D_A: 0.250 G_A: 1.708 vgg: 0.121 D_P: 0.095 
(epoch: 176, iters: 400, time: 0.700) D_A: 0.250 G_A: 1.569 vgg: 0.121 D_P: 0.345 
(epoch: 176, iters: 500, time: 0.230) D_A: 0.250 G_A: 1.620 vgg: 0.124 D_P: 0.112 
(epoch: 176, iters: 600, time: 0.231) D_A: 0.250 G_A: 1.746 vgg: 0.265 D_P: 0.124 
(epoch: 176, iters: 700, time: 0.762) D_A: 0.250 G_A: 1.765 vgg: 0.093 D_P: 0.190 
(epoch: 176, iters: 800, time: 0.230) D_A: 0.250 G_A: 2.067 vgg: 0.408 D_P: 0.132 
(epoch: 176, iters: 900, time: 0.230) D_A: 0.250 G_A: 1.495 vgg: 0.100 D_P: 0.223 
(epoch: 176, iters: 1000, time: 0.750) D_A: 0.250 G_A: 1.657 vgg: 0.250 D_P: 0.219 
End of epoch 176 / 200 	 Time Taken: 237 sec
update learning rate: 0.000025 -> 0.000024
(epoch: 177, iters: 84, time: 0.230) D_A: 0.250 G_A: 1.804 vgg: 0.192 D_P: 0.112 
(epoch: 177, iters: 184, time: 0.230) D_A: 0.250 G_A: 1.774 vgg: 0.151 D_P: 0.105 
(epoch: 177, iters: 284, time: 0.766) D_A: 0.250 G_A: 1.607 vgg: 0.254 D_P: 0.149 
(epoch: 177, iters: 384, time: 0.230) D_A: 0.250 G_A: 1.644 vgg: 0.113 D_P: 0.120 
(epoch: 177, iters: 484, time: 0.231) D_A: 0.250 G_A: 1.367 vgg: 0.107 D_P: 0.298 
(epoch: 177, iters: 584, time: 0.718) D_A: 0.250 G_A: 1.429 vgg: 0.256 D_P: 0.334 
(epoch: 177, iters: 684, time: 0.231) D_A: 0.250 G_A: 1.582 vgg: 0.139 D_P: 0.298 
(epoch: 177, iters: 784, time: 0.231) D_A: 0.250 G_A: 1.628 vgg: 0.246 D_P: 0.174 
(epoch: 177, iters: 884, time: 0.693) D_A: 0.250 G_A: 1.717 vgg: 0.167 D_P: 0.167 
(epoch: 177, iters: 984, time: 0.230) D_A: 0.250 G_A: 1.406 vgg: 0.316 D_P: 0.374 
End of epoch 177 / 200 	 Time Taken: 236 sec
update learning rate: 0.000024 -> 0.000023
(epoch: 178, iters: 68, time: 0.230) D_A: 0.250 G_A: 1.700 vgg: 0.178 D_P: 0.215 
(epoch: 178, iters: 168, time: 0.730) D_A: 0.250 G_A: 1.682 vgg: 0.112 D_P: 0.154 
saving the latest model (epoch 178, total_steps 180000)
(epoch: 178, iters: 268, time: 0.230) D_A: 0.250 G_A: 1.590 vgg: 0.184 D_P: 0.210 
(epoch: 178, iters: 368, time: 0.230) D_A: 0.250 G_A: 1.567 vgg: 0.281 D_P: 0.346 
(epoch: 178, iters: 468, time: 0.708) D_A: 0.250 G_A: 1.528 vgg: 0.236 D_P: 0.216 
(epoch: 178, iters: 568, time: 0.230) D_A: 0.250 G_A: 1.548 vgg: 0.253 D_P: 0.170 
(epoch: 178, iters: 668, time: 0.230) D_A: 0.250 G_A: 1.654 vgg: 1.095 D_P: 0.214 
(epoch: 178, iters: 768, time: 0.698) D_A: 0.250 G_A: 1.752 vgg: 0.233 D_P: 0.191 
(epoch: 178, iters: 868, time: 0.230) D_A: 0.250 G_A: 2.035 vgg: 0.218 D_P: 0.117 
(epoch: 178, iters: 968, time: 0.230) D_A: 0.250 G_A: 1.725 vgg: 0.297 D_P: 0.109 
End of epoch 178 / 200 	 Time Taken: 237 sec
update learning rate: 0.000023 -> 0.000022
(epoch: 179, iters: 52, time: 0.789) D_A: 0.250 G_A: 1.933 vgg: 0.692 D_P: 0.179 
(epoch: 179, iters: 152, time: 0.230) D_A: 0.250 G_A: 1.537 vgg: 0.155 D_P: 0.286 
(epoch: 179, iters: 252, time: 0.230) D_A: 0.250 G_A: 1.904 vgg: 0.168 D_P: 0.333 
(epoch: 179, iters: 352, time: 0.651) D_A: 0.250 G_A: 1.617 vgg: 0.440 D_P: 0.141 
(epoch: 179, iters: 452, time: 0.230) D_A: 0.250 G_A: 1.561 vgg: 0.429 D_P: 0.280 
(epoch: 179, iters: 552, time: 0.230) D_A: 0.250 G_A: 1.629 vgg: 0.189 D_P: 0.134 
(epoch: 179, iters: 652, time: 0.763) D_A: 0.250 G_A: 2.199 vgg: 0.458 D_P: 0.056 
(epoch: 179, iters: 752, time: 0.230) D_A: 0.250 G_A: 1.631 vgg: 0.262 D_P: 0.180 
(epoch: 179, iters: 852, time: 0.230) D_A: 0.250 G_A: 1.735 vgg: 0.298 D_P: 0.085 
(epoch: 179, iters: 952, time: 0.714) D_A: 0.250 G_A: 1.352 vgg: 0.505 D_P: 0.310 
End of epoch 179 / 200 	 Time Taken: 236 sec
update learning rate: 0.000022 -> 0.000021
(epoch: 180, iters: 36, time: 0.230) D_A: 0.250 G_A: 1.852 vgg: 0.400 D_P: 0.060 
(epoch: 180, iters: 136, time: 0.231) D_A: 0.250 G_A: 1.629 vgg: 0.114 D_P: 0.340 
(epoch: 180, iters: 236, time: 0.757) D_A: 0.250 G_A: 1.563 vgg: 0.095 D_P: 0.244 
(epoch: 180, iters: 336, time: 0.230) D_A: 0.250 G_A: 1.629 vgg: 0.107 D_P: 0.198 
(epoch: 180, iters: 436, time: 0.230) D_A: 0.250 G_A: 1.569 vgg: 0.118 D_P: 0.172 
(epoch: 180, iters: 536, time: 0.753) D_A: 0.250 G_A: 1.700 vgg: 0.374 D_P: 0.154 
(epoch: 180, iters: 636, time: 0.229) D_A: 0.250 G_A: 1.507 vgg: 0.194 D_P: 0.346 
(epoch: 180, iters: 736, time: 0.230) D_A: 0.250 G_A: 1.537 vgg: 0.197 D_P: 0.156 
(epoch: 180, iters: 836, time: 0.729) D_A: 0.250 G_A: 1.499 vgg: 0.087 D_P: 0.382 
(epoch: 180, iters: 936, time: 0.230) D_A: 0.250 G_A: 1.794 vgg: 0.110 D_P: 0.133 
saving the model at the end of epoch 180, iters 182880
End of epoch 180 / 200 	 Time Taken: 237 sec
update learning rate: 0.000021 -> 0.000020
(epoch: 181, iters: 20, time: 0.230) D_A: 0.250 G_A: 1.875 vgg: 0.569 D_P: 0.047 
(epoch: 181, iters: 120, time: 0.692) D_A: 0.250 G_A: 1.652 vgg: 0.279 D_P: 0.295 
(epoch: 181, iters: 220, time: 0.230) D_A: 0.250 G_A: 1.562 vgg: 0.264 D_P: 0.306 
(epoch: 181, iters: 320, time: 0.230) D_A: 0.250 G_A: 1.636 vgg: 0.378 D_P: 0.161 
(epoch: 181, iters: 420, time: 0.746) D_A: 0.250 G_A: 1.758 vgg: 0.282 D_P: 0.157 
(epoch: 181, iters: 520, time: 0.230) D_A: 0.250 G_A: 1.904 vgg: 0.389 D_P: 0.129 
(epoch: 181, iters: 620, time: 0.230) D_A: 0.250 G_A: 1.513 vgg: 0.326 D_P: 0.314 
(epoch: 181, iters: 720, time: 0.747) D_A: 0.250 G_A: 1.760 vgg: 0.403 D_P: 0.087 
(epoch: 181, iters: 820, time: 0.230) D_A: 0.251 G_A: 1.961 vgg: 0.492 D_P: 0.048 
(epoch: 181, iters: 920, time: 0.230) D_A: 0.250 G_A: 1.720 vgg: 0.349 D_P: 0.175 
End of epoch 181 / 200 	 Time Taken: 236 sec
update learning rate: 0.000020 -> 0.000019
(epoch: 182, iters: 4, time: 0.712) D_A: 0.250 G_A: 1.610 vgg: 0.133 D_P: 0.251 
(epoch: 182, iters: 104, time: 0.231) D_A: 0.250 G_A: 1.762 vgg: 0.198 D_P: 0.200 
(epoch: 182, iters: 204, time: 0.230) D_A: 0.250 G_A: 1.576 vgg: 0.111 D_P: 0.111 
(epoch: 182, iters: 304, time: 0.713) D_A: 0.250 G_A: 1.952 vgg: 0.207 D_P: 0.228 
(epoch: 182, iters: 404, time: 0.230) D_A: 0.250 G_A: 2.123 vgg: 0.315 D_P: 0.049 
(epoch: 182, iters: 504, time: 0.231) D_A: 0.250 G_A: 1.647 vgg: 0.140 D_P: 0.204 
(epoch: 182, iters: 604, time: 0.757) D_A: 0.250 G_A: 1.969 vgg: 0.357 D_P: 0.086 
(epoch: 182, iters: 704, time: 0.231) D_A: 0.250 G_A: 2.032 vgg: 0.494 D_P: 0.142 
(epoch: 182, iters: 804, time: 0.231) D_A: 0.250 G_A: 1.680 vgg: 0.226 D_P: 0.176 
(epoch: 182, iters: 904, time: 0.743) D_A: 0.250 G_A: 1.982 vgg: 0.178 D_P: 0.234 
(epoch: 182, iters: 1004, time: 0.230) D_A: 0.250 G_A: 1.685 vgg: 0.432 D_P: 0.249 
End of epoch 182 / 200 	 Time Taken: 237 sec
update learning rate: 0.000019 -> 0.000018
(epoch: 183, iters: 88, time: 0.230) D_A: 0.250 G_A: 1.711 vgg: 0.147 D_P: 0.254 
saving the latest model (epoch 183, total_steps 185000)
(epoch: 183, iters: 188, time: 0.696) D_A: 0.250 G_A: 1.357 vgg: 0.090 D_P: 0.363 
(epoch: 183, iters: 288, time: 0.231) D_A: 0.250 G_A: 1.622 vgg: 0.155 D_P: 0.236 
(epoch: 183, iters: 388, time: 0.231) D_A: 0.250 G_A: 1.751 vgg: 0.173 D_P: 0.117 
(epoch: 183, iters: 488, time: 0.807) D_A: 0.250 G_A: 1.605 vgg: 0.098 D_P: 0.300 
(epoch: 183, iters: 588, time: 0.231) D_A: 0.250 G_A: 1.753 vgg: 0.163 D_P: 0.263 
(epoch: 183, iters: 688, time: 0.231) D_A: 0.250 G_A: 1.898 vgg: 0.563 D_P: 0.267 
(epoch: 183, iters: 788, time: 0.730) D_A: 0.250 G_A: 1.695 vgg: 0.451 D_P: 0.145 
(epoch: 183, iters: 888, time: 0.230) D_A: 0.250 G_A: 1.917 vgg: 0.422 D_P: 0.155 
(epoch: 183, iters: 988, time: 0.230) D_A: 0.250 G_A: 1.770 vgg: 0.307 D_P: 0.086 
End of epoch 183 / 200 	 Time Taken: 237 sec
update learning rate: 0.000018 -> 0.000017
(epoch: 184, iters: 72, time: 0.723) D_A: 0.250 G_A: 1.891 vgg: 0.475 D_P: 0.240 
(epoch: 184, iters: 172, time: 0.230) D_A: 0.250 G_A: 1.872 vgg: 0.380 D_P: 0.096 
(epoch: 184, iters: 272, time: 0.231) D_A: 0.250 G_A: 1.502 vgg: 0.164 D_P: 0.353 
(epoch: 184, iters: 372, time: 0.662) D_A: 0.250 G_A: 1.857 vgg: 0.320 D_P: 0.148 
(epoch: 184, iters: 472, time: 0.230) D_A: 0.250 G_A: 1.430 vgg: 0.176 D_P: 0.348 
(epoch: 184, iters: 572, time: 0.231) D_A: 0.250 G_A: 1.534 vgg: 0.155 D_P: 0.180 
(epoch: 184, iters: 672, time: 0.785) D_A: 0.250 G_A: 1.769 vgg: 0.254 D_P: 0.234 
(epoch: 184, iters: 772, time: 0.230) D_A: 0.250 G_A: 1.807 vgg: 0.140 D_P: 0.139 
(epoch: 184, iters: 872, time: 0.233) D_A: 0.250 G_A: 1.972 vgg: 0.196 D_P: 0.226 
(epoch: 184, iters: 972, time: 0.737) D_A: 0.250 G_A: 1.903 vgg: 0.195 D_P: 0.033 
End of epoch 184 / 200 	 Time Taken: 237 sec
update learning rate: 0.000017 -> 0.000016
(epoch: 185, iters: 56, time: 0.230) D_A: 0.250 G_A: 2.029 vgg: 0.649 D_P: 0.075 
(epoch: 185, iters: 156, time: 0.230) D_A: 0.250 G_A: 1.575 vgg: 0.166 D_P: 0.207 
(epoch: 185, iters: 256, time: 0.692) D_A: 0.250 G_A: 1.569 vgg: 0.301 D_P: 0.244 
(epoch: 185, iters: 356, time: 0.230) D_A: 0.250 G_A: 1.605 vgg: 0.267 D_P: 0.158 
(epoch: 185, iters: 456, time: 0.230) D_A: 0.250 G_A: 1.798 vgg: 0.143 D_P: 0.284 
(epoch: 185, iters: 556, time: 0.771) D_A: 0.250 G_A: 1.844 vgg: 0.290 D_P: 0.073 
(epoch: 185, iters: 656, time: 0.230) D_A: 0.250 G_A: 1.690 vgg: 0.135 D_P: 0.071 
(epoch: 185, iters: 756, time: 0.231) D_A: 0.250 G_A: 1.870 vgg: 0.325 D_P: 0.093 
(epoch: 185, iters: 856, time: 0.735) D_A: 0.250 G_A: 1.571 vgg: 0.380 D_P: 0.206 
(epoch: 185, iters: 956, time: 0.230) D_A: 0.250 G_A: 1.844 vgg: 0.217 D_P: 0.180 
saving the model at the end of epoch 185, iters 187960
End of epoch 185 / 200 	 Time Taken: 238 sec
update learning rate: 0.000016 -> 0.000015
(epoch: 186, iters: 40, time: 0.230) D_A: 0.250 G_A: 1.656 vgg: 0.109 D_P: 0.163 
(epoch: 186, iters: 140, time: 0.808) D_A: 0.250 G_A: 1.808 vgg: 0.443 D_P: 0.269 
(epoch: 186, iters: 240, time: 0.229) D_A: 0.250 G_A: 1.687 vgg: 0.211 D_P: 0.131 
(epoch: 186, iters: 340, time: 0.230) D_A: 0.250 G_A: 1.641 vgg: 0.171 D_P: 0.167 
(epoch: 186, iters: 440, time: 0.789) D_A: 0.250 G_A: 1.848 vgg: 0.136 D_P: 0.179 
(epoch: 186, iters: 540, time: 0.230) D_A: 0.250 G_A: 1.614 vgg: 0.259 D_P: 0.166 
(epoch: 186, iters: 640, time: 0.230) D_A: 0.250 G_A: 1.585 vgg: 0.132 D_P: 0.135 
(epoch: 186, iters: 740, time: 0.754) D_A: 0.250 G_A: 1.487 vgg: 0.128 D_P: 0.229 
(epoch: 186, iters: 840, time: 0.230) D_A: 0.250 G_A: 2.001 vgg: 0.537 D_P: 0.212 
(epoch: 186, iters: 940, time: 0.231) D_A: 0.250 G_A: 1.530 vgg: 0.099 D_P: 0.147 
End of epoch 186 / 200 	 Time Taken: 237 sec
update learning rate: 0.000015 -> 0.000014
(epoch: 187, iters: 24, time: 0.741) D_A: 0.250 G_A: 1.711 vgg: 0.287 D_P: 0.160 
(epoch: 187, iters: 124, time: 0.230) D_A: 0.250 G_A: 1.760 vgg: 0.152 D_P: 0.123 
(epoch: 187, iters: 224, time: 0.230) D_A: 0.250 G_A: 1.621 vgg: 0.131 D_P: 0.277 
(epoch: 187, iters: 324, time: 0.698) D_A: 0.250 G_A: 1.574 vgg: 0.211 D_P: 0.228 
(epoch: 187, iters: 424, time: 0.230) D_A: 0.250 G_A: 1.743 vgg: 0.267 D_P: 0.211 
(epoch: 187, iters: 524, time: 0.230) D_A: 0.250 G_A: 1.683 vgg: 0.206 D_P: 0.165 
(epoch: 187, iters: 624, time: 0.753) D_A: 0.250 G_A: 1.838 vgg: 0.159 D_P: 0.153 
(epoch: 187, iters: 724, time: 0.230) D_A: 0.250 G_A: 1.610 vgg: 0.213 D_P: 0.197 
(epoch: 187, iters: 824, time: 0.230) D_A: 0.250 G_A: 1.795 vgg: 0.340 D_P: 0.125 
(epoch: 187, iters: 924, time: 0.753) D_A: 0.250 G_A: 1.562 vgg: 0.130 D_P: 0.327 
End of epoch 187 / 200 	 Time Taken: 236 sec
update learning rate: 0.000014 -> 0.000013
(epoch: 188, iters: 8, time: 0.229) D_A: 0.250 G_A: 1.614 vgg: 0.191 D_P: 0.249 
saving the latest model (epoch 188, total_steps 190000)
(epoch: 188, iters: 108, time: 0.230) D_A: 0.250 G_A: 1.598 vgg: 0.308 D_P: 0.204 
(epoch: 188, iters: 208, time: 0.734) D_A: 0.250 G_A: 1.863 vgg: 0.484 D_P: 0.051 
(epoch: 188, iters: 308, time: 0.230) D_A: 0.250 G_A: 1.840 vgg: 0.114 D_P: 0.235 
(epoch: 188, iters: 408, time: 0.230) D_A: 0.250 G_A: 1.793 vgg: 0.348 D_P: 0.137 
(epoch: 188, iters: 508, time: 0.725) D_A: 0.250 G_A: 1.675 vgg: 0.093 D_P: 0.190 
(epoch: 188, iters: 608, time: 0.230) D_A: 0.250 G_A: 1.673 vgg: 0.205 D_P: 0.218 
(epoch: 188, iters: 708, time: 0.230) D_A: 0.250 G_A: 1.509 vgg: 0.141 D_P: 0.218 
(epoch: 188, iters: 808, time: 0.775) D_A: 0.250 G_A: 1.756 vgg: 0.167 D_P: 0.078 
(epoch: 188, iters: 908, time: 0.230) D_A: 0.250 G_A: 1.660 vgg: 0.227 D_P: 0.255 
(epoch: 188, iters: 1008, time: 0.230) D_A: 0.250 G_A: 1.767 vgg: 0.171 D_P: 0.064 
End of epoch 188 / 200 	 Time Taken: 237 sec
update learning rate: 0.000013 -> 0.000012
(epoch: 189, iters: 92, time: 0.684) D_A: 0.250 G_A: 2.233 vgg: 0.667 D_P: 0.076 
(epoch: 189, iters: 192, time: 0.231) D_A: 0.250 G_A: 1.969 vgg: 0.382 D_P: 0.099 
(epoch: 189, iters: 292, time: 0.230) D_A: 0.250 G_A: 1.711 vgg: 0.153 D_P: 0.306 
(epoch: 189, iters: 392, time: 0.782) D_A: 0.250 G_A: 1.635 vgg: 0.110 D_P: 0.127 
(epoch: 189, iters: 492, time: 0.230) D_A: 0.250 G_A: 1.630 vgg: 0.104 D_P: 0.095 
(epoch: 189, iters: 592, time: 0.230) D_A: 0.250 G_A: 1.665 vgg: 0.080 D_P: 0.133 
(epoch: 189, iters: 692, time: 0.749) D_A: 0.250 G_A: 1.734 vgg: 0.239 D_P: 0.145 
(epoch: 189, iters: 792, time: 0.230) D_A: 0.250 G_A: 1.958 vgg: 0.235 D_P: 0.025 
(epoch: 189, iters: 892, time: 0.230) D_A: 0.250 G_A: 1.725 vgg: 0.118 D_P: 0.056 
(epoch: 189, iters: 992, time: 0.726) D_A: 0.250 G_A: 1.544 vgg: 0.156 D_P: 0.209 
End of epoch 189 / 200 	 Time Taken: 237 sec
update learning rate: 0.000012 -> 0.000011
(epoch: 190, iters: 76, time: 0.230) D_A: 0.250 G_A: 1.672 vgg: 0.148 D_P: 0.191 
(epoch: 190, iters: 176, time: 0.230) D_A: 0.250 G_A: 1.788 vgg: 0.125 D_P: 0.089 
(epoch: 190, iters: 276, time: 0.805) D_A: 0.250 G_A: 1.647 vgg: 0.416 D_P: 0.102 
(epoch: 190, iters: 376, time: 0.230) D_A: 0.250 G_A: 1.803 vgg: 0.156 D_P: 0.111 
(epoch: 190, iters: 476, time: 0.230) D_A: 0.250 G_A: 1.536 vgg: 0.547 D_P: 0.187 
(epoch: 190, iters: 576, time: 0.744) D_A: 0.250 G_A: 1.576 vgg: 0.434 D_P: 0.210 
(epoch: 190, iters: 676, time: 0.230) D_A: 0.250 G_A: 1.736 vgg: 0.476 D_P: 0.110 
(epoch: 190, iters: 776, time: 0.230) D_A: 0.250 G_A: 1.572 vgg: 0.182 D_P: 0.221 
(epoch: 190, iters: 876, time: 0.710) D_A: 0.250 G_A: 1.781 vgg: 0.308 D_P: 0.146 
(epoch: 190, iters: 976, time: 0.230) D_A: 0.250 G_A: 1.666 vgg: 0.149 D_P: 0.082 
saving the model at the end of epoch 190, iters 193040
End of epoch 190 / 200 	 Time Taken: 238 sec
update learning rate: 0.000011 -> 0.000010
(epoch: 191, iters: 60, time: 0.231) D_A: 0.250 G_A: 1.711 vgg: 0.175 D_P: 0.164 
(epoch: 191, iters: 160, time: 0.832) D_A: 0.250 G_A: 1.441 vgg: 0.385 D_P: 0.184 
(epoch: 191, iters: 260, time: 0.231) D_A: 0.250 G_A: 1.762 vgg: 0.157 D_P: 0.205 
(epoch: 191, iters: 360, time: 0.230) D_A: 0.250 G_A: 1.653 vgg: 0.063 D_P: 0.178 
(epoch: 191, iters: 460, time: 0.692) D_A: 0.250 G_A: 1.655 vgg: 0.373 D_P: 0.215 
(epoch: 191, iters: 560, time: 0.231) D_A: 0.250 G_A: 2.089 vgg: 0.680 D_P: 0.041 
(epoch: 191, iters: 660, time: 0.230) D_A: 0.250 G_A: 1.937 vgg: 0.157 D_P: 0.100 
(epoch: 191, iters: 760, time: 0.827) D_A: 0.250 G_A: 1.548 vgg: 0.539 D_P: 0.144 
(epoch: 191, iters: 860, time: 0.229) D_A: 0.250 G_A: 1.667 vgg: 0.370 D_P: 0.102 
(epoch: 191, iters: 960, time: 0.230) D_A: 0.250 G_A: 1.812 vgg: 0.366 D_P: 0.134 
End of epoch 191 / 200 	 Time Taken: 237 sec
update learning rate: 0.000010 -> 0.000009
(epoch: 192, iters: 44, time: 0.756) D_A: 0.250 G_A: 1.764 vgg: 0.265 D_P: 0.098 
(epoch: 192, iters: 144, time: 0.230) D_A: 0.250 G_A: 1.632 vgg: 0.145 D_P: 0.098 
(epoch: 192, iters: 244, time: 0.230) D_A: 0.250 G_A: 1.589 vgg: 0.229 D_P: 0.268 
(epoch: 192, iters: 344, time: 0.731) D_A: 0.250 G_A: 1.707 vgg: 0.155 D_P: 0.191 
(epoch: 192, iters: 444, time: 0.230) D_A: 0.250 G_A: 1.868 vgg: 0.196 D_P: 0.106 
(epoch: 192, iters: 544, time: 0.230) D_A: 0.250 G_A: 1.889 vgg: 0.204 D_P: 0.126 
(epoch: 192, iters: 644, time: 0.675) D_A: 0.250 G_A: 1.861 vgg: 0.220 D_P: 0.037 
(epoch: 192, iters: 744, time: 0.230) D_A: 0.250 G_A: 1.804 vgg: 0.206 D_P: 0.163 
(epoch: 192, iters: 844, time: 0.230) D_A: 0.250 G_A: 1.772 vgg: 0.384 D_P: 0.290 
(epoch: 192, iters: 944, time: 0.765) D_A: 0.250 G_A: 1.539 vgg: 0.068 D_P: 0.169 
saving the latest model (epoch 192, total_steps 195000)
End of epoch 192 / 200 	 Time Taken: 238 sec
update learning rate: 0.000009 -> 0.000008
(epoch: 193, iters: 28, time: 0.230) D_A: 0.250 G_A: 1.629 vgg: 0.565 D_P: 0.256 
(epoch: 193, iters: 128, time: 0.230) D_A: 0.250 G_A: 1.529 vgg: 0.285 D_P: 0.249 
(epoch: 193, iters: 228, time: 0.791) D_A: 0.250 G_A: 1.680 vgg: 0.163 D_P: 0.080 
(epoch: 193, iters: 328, time: 0.230) D_A: 0.250 G_A: 1.441 vgg: 0.083 D_P: 0.405 
(epoch: 193, iters: 428, time: 0.230) D_A: 0.250 G_A: 1.838 vgg: 0.116 D_P: 0.138 
(epoch: 193, iters: 528, time: 0.761) D_A: 0.250 G_A: 1.560 vgg: 0.159 D_P: 0.195 
(epoch: 193, iters: 628, time: 0.230) D_A: 0.250 G_A: 1.643 vgg: 0.438 D_P: 0.113 
(epoch: 193, iters: 728, time: 0.230) D_A: 0.250 G_A: 1.461 vgg: 0.431 D_P: 0.431 
(epoch: 193, iters: 828, time: 0.758) D_A: 0.250 G_A: 1.679 vgg: 0.152 D_P: 0.101 
(epoch: 193, iters: 928, time: 0.231) D_A: 0.250 G_A: 1.643 vgg: 0.214 D_P: 0.194 
End of epoch 193 / 200 	 Time Taken: 237 sec
update learning rate: 0.000008 -> 0.000007
(epoch: 194, iters: 12, time: 0.231) D_A: 0.250 G_A: 2.022 vgg: 0.235 D_P: 0.184 
(epoch: 194, iters: 112, time: 0.703) D_A: 0.250 G_A: 1.955 vgg: 0.278 D_P: 0.109 
(epoch: 194, iters: 212, time: 0.229) D_A: 0.250 G_A: 1.716 vgg: 0.687 D_P: 0.201 
(epoch: 194, iters: 312, time: 0.230) D_A: 0.250 G_A: 1.789 vgg: 0.155 D_P: 0.206 
(epoch: 194, iters: 412, time: 0.768) D_A: 0.250 G_A: 1.630 vgg: 0.109 D_P: 0.097 
(epoch: 194, iters: 512, time: 0.231) D_A: 0.250 G_A: 1.750 vgg: 0.150 D_P: 0.211 
(epoch: 194, iters: 612, time: 0.229) D_A: 0.250 G_A: 1.672 vgg: 0.187 D_P: 0.110 
(epoch: 194, iters: 712, time: 0.715) D_A: 0.250 G_A: 1.459 vgg: 0.135 D_P: 0.317 
(epoch: 194, iters: 812, time: 0.229) D_A: 0.250 G_A: 1.554 vgg: 0.579 D_P: 0.229 
(epoch: 194, iters: 912, time: 0.230) D_A: 0.250 G_A: 1.818 vgg: 0.445 D_P: 0.095 
(epoch: 194, iters: 1012, time: 0.735) D_A: 0.250 G_A: 1.610 vgg: 0.243 D_P: 0.301 
End of epoch 194 / 200 	 Time Taken: 237 sec
update learning rate: 0.000007 -> 0.000006
(epoch: 195, iters: 96, time: 0.231) D_A: 0.250 G_A: 1.834 vgg: 0.159 D_P: 0.118 
(epoch: 195, iters: 196, time: 0.230) D_A: 0.250 G_A: 1.702 vgg: 0.137 D_P: 0.193 
(epoch: 195, iters: 296, time: 0.743) D_A: 0.250 G_A: 1.768 vgg: 0.201 D_P: 0.153 
(epoch: 195, iters: 396, time: 0.231) D_A: 0.250 G_A: 1.543 vgg: 0.219 D_P: 0.236 
(epoch: 195, iters: 496, time: 0.230) D_A: 0.250 G_A: 1.969 vgg: 0.593 D_P: 0.112 
(epoch: 195, iters: 596, time: 0.689) D_A: 0.250 G_A: 1.781 vgg: 0.271 D_P: 0.235 
(epoch: 195, iters: 696, time: 0.230) D_A: 0.250 G_A: 1.629 vgg: 0.154 D_P: 0.161 
(epoch: 195, iters: 796, time: 0.231) D_A: 0.250 G_A: 1.777 vgg: 0.426 D_P: 0.095 
(epoch: 195, iters: 896, time: 0.735) D_A: 0.250 G_A: 1.703 vgg: 0.134 D_P: 0.119 
(epoch: 195, iters: 996, time: 0.231) D_A: 0.250 G_A: 1.995 vgg: 0.707 D_P: 0.122 
saving the model at the end of epoch 195, iters 198120
End of epoch 195 / 200 	 Time Taken: 238 sec
update learning rate: 0.000006 -> 0.000005
(epoch: 196, iters: 80, time: 0.230) D_A: 0.250 G_A: 2.107 vgg: 0.564 D_P: 0.086 
(epoch: 196, iters: 180, time: 0.722) D_A: 0.250 G_A: 1.811 vgg: 0.277 D_P: 0.126 
(epoch: 196, iters: 280, time: 0.229) D_A: 0.250 G_A: 1.648 vgg: 0.167 D_P: 0.195 
(epoch: 196, iters: 380, time: 0.230) D_A: 0.250 G_A: 1.586 vgg: 0.344 D_P: 0.203 
(epoch: 196, iters: 480, time: 0.697) D_A: 0.250 G_A: 1.652 vgg: 0.226 D_P: 0.208 
(epoch: 196, iters: 580, time: 0.230) D_A: 0.250 G_A: 1.877 vgg: 0.260 D_P: 0.250 
(epoch: 196, iters: 680, time: 0.230) D_A: 0.250 G_A: 1.679 vgg: 0.534 D_P: 0.227 
(epoch: 196, iters: 780, time: 0.727) D_A: 0.250 G_A: 1.574 vgg: 0.193 D_P: 0.143 
(epoch: 196, iters: 880, time: 0.231) D_A: 0.250 G_A: 1.801 vgg: 0.230 D_P: 0.160 
(epoch: 196, iters: 980, time: 0.230) D_A: 0.250 G_A: 1.654 vgg: 0.365 D_P: 0.122 
End of epoch 196 / 200 	 Time Taken: 236 sec
update learning rate: 0.000005 -> 0.000004
(epoch: 197, iters: 64, time: 0.713) D_A: 0.250 G_A: 1.748 vgg: 0.252 D_P: 0.064 
(epoch: 197, iters: 164, time: 0.230) D_A: 0.250 G_A: 1.826 vgg: 0.219 D_P: 0.041 
(epoch: 197, iters: 264, time: 0.230) D_A: 0.250 G_A: 1.717 vgg: 0.323 D_P: 0.223 
(epoch: 197, iters: 364, time: 0.767) D_A: 0.250 G_A: 1.579 vgg: 0.269 D_P: 0.172 
(epoch: 197, iters: 464, time: 0.230) D_A: 0.250 G_A: 1.460 vgg: 0.184 D_P: 0.259 
(epoch: 197, iters: 564, time: 0.230) D_A: 0.250 G_A: 1.624 vgg: 0.178 D_P: 0.146 
(epoch: 197, iters: 664, time: 0.686) D_A: 0.250 G_A: 1.980 vgg: 0.259 D_P: 0.078 
(epoch: 197, iters: 764, time: 0.230) D_A: 0.250 G_A: 1.595 vgg: 0.485 D_P: 0.190 
(epoch: 197, iters: 864, time: 0.230) D_A: 0.250 G_A: 1.589 vgg: 0.089 D_P: 0.123 
saving the latest model (epoch 197, total_steps 200000)
(epoch: 197, iters: 964, time: 0.768) D_A: 0.250 G_A: 1.717 vgg: 0.144 D_P: 0.207 
End of epoch 197 / 200 	 Time Taken: 238 sec
update learning rate: 0.000004 -> 0.000003
(epoch: 198, iters: 48, time: 0.230) D_A: 0.250 G_A: 1.670 vgg: 0.184 D_P: 0.235 
(epoch: 198, iters: 148, time: 0.230) D_A: 0.250 G_A: 1.631 vgg: 0.161 D_P: 0.198 
(epoch: 198, iters: 248, time: 0.763) D_A: 0.250 G_A: 1.782 vgg: 0.307 D_P: 0.076 
(epoch: 198, iters: 348, time: 0.230) D_A: 0.250 G_A: 1.645 vgg: 0.179 D_P: 0.095 
(epoch: 198, iters: 448, time: 0.230) D_A: 0.250 G_A: 1.504 vgg: 0.214 D_P: 0.249 
(epoch: 198, iters: 548, time: 0.697) D_A: 0.250 G_A: 1.651 vgg: 0.279 D_P: 0.210 
(epoch: 198, iters: 648, time: 0.230) D_A: 0.250 G_A: 1.642 vgg: 0.351 D_P: 0.250 
(epoch: 198, iters: 748, time: 0.230) D_A: 0.250 G_A: 1.755 vgg: 0.114 D_P: 0.093 
(epoch: 198, iters: 848, time: 0.828) D_A: 0.250 G_A: 1.363 vgg: 0.401 D_P: 0.225 
(epoch: 198, iters: 948, time: 0.230) D_A: 0.250 G_A: 1.805 vgg: 0.257 D_P: 0.333 
End of epoch 198 / 200 	 Time Taken: 237 sec
update learning rate: 0.000003 -> 0.000002
(epoch: 199, iters: 32, time: 0.230) D_A: 0.250 G_A: 1.709 vgg: 0.147 D_P: 0.190 
(epoch: 199, iters: 132, time: 0.808) D_A: 0.250 G_A: 1.773 vgg: 0.197 D_P: 0.083 
(epoch: 199, iters: 232, time: 0.230) D_A: 0.250 G_A: 1.712 vgg: 0.080 D_P: 0.181 
(epoch: 199, iters: 332, time: 0.230) D_A: 0.250 G_A: 1.563 vgg: 0.145 D_P: 0.155 
(epoch: 199, iters: 432, time: 0.699) D_A: 0.250 G_A: 1.774 vgg: 0.358 D_P: 0.086 
(epoch: 199, iters: 532, time: 0.230) D_A: 0.250 G_A: 1.787 vgg: 0.251 D_P: 0.144 
(epoch: 199, iters: 632, time: 0.230) D_A: 0.250 G_A: 1.641 vgg: 0.133 D_P: 0.121 
(epoch: 199, iters: 732, time: 0.665) D_A: 0.250 G_A: 1.853 vgg: 0.551 D_P: 0.185 
(epoch: 199, iters: 832, time: 0.231) D_A: 0.250 G_A: 1.736 vgg: 0.167 D_P: 0.093 
(epoch: 199, iters: 932, time: 0.231) D_A: 0.250 G_A: 1.578 vgg: 0.344 D_P: 0.380 
End of epoch 199 / 200 	 Time Taken: 237 sec
update learning rate: 0.000002 -> 0.000001
(epoch: 200, iters: 16, time: 0.766) D_A: 0.250 G_A: 1.765 vgg: 0.195 D_P: 0.074 
(epoch: 200, iters: 116, time: 0.230) D_A: 0.250 G_A: 1.819 vgg: 0.159 D_P: 0.052 
(epoch: 200, iters: 216, time: 0.230) D_A: 0.250 G_A: 1.467 vgg: 0.133 D_P: 0.281 
(epoch: 200, iters: 316, time: 0.817) D_A: 0.250 G_A: 1.737 vgg: 0.345 D_P: 0.076 
(epoch: 200, iters: 416, time: 0.231) D_A: 0.250 G_A: 1.559 vgg: 0.284 D_P: 0.303 
(epoch: 200, iters: 516, time: 0.230) D_A: 0.250 G_A: 1.959 vgg: 0.564 D_P: 0.122 
(epoch: 200, iters: 616, time: 0.730) D_A: 0.250 G_A: 1.619 vgg: 0.279 D_P: 0.213 
(epoch: 200, iters: 716, time: 0.230) D_A: 0.250 G_A: 1.454 vgg: 0.174 D_P: 0.230 
(epoch: 200, iters: 816, time: 0.229) D_A: 0.250 G_A: 1.515 vgg: 0.118 D_P: 0.235 
(epoch: 200, iters: 916, time: 0.727) D_A: 0.250 G_A: 1.875 vgg: 0.273 D_P: 0.041 
(epoch: 200, iters: 1016, time: 0.230) D_A: 0.250 G_A: 1.763 vgg: 0.315 D_P: 0.088 
saving the model at the end of epoch 200, iters 203200
End of epoch 200 / 200 	 Time Taken: 238 sec

结果

嗯？？？？？？？？？眼睛闪瞎了快。。。

1、原图：
在这里插入图片描述
2、自己训练的模型测试结果