Updated 29/Nov/2021 by Yoshihisa Nitta 
Further Training of Cycle Generative Adversarial Network for VidTIMIT dataset with Tensorflow 2 on Google Colab (WGAN-GP)¶
Assuming that you have already executed CycleGAN_VidTIMIT_Train.ipynb, further train the Model.
VidTIMIT データセットに対して Cycle Generative Adversarial Network をGoogle Colab 上の Tensorflow 2 でさらに学習させる¶
既に CycleGAN_VidTIMIT_Train.ipynb を実行していることを前提とし、さらに学習を進める。
In [1]:
MAX_EPOCHS = 150 # Change this value and run this ipynb many times
save_path = '/content/drive/MyDrive/ColabRun/CycleGAN_VidTIMIT01'
VERBOSE = False
In [2]:
#! pip install tensorflow==2.7.0
In [3]:
! pip install tensorflow_addons
Requirement already satisfied: tensorflow_addons in /usr/local/lib/python3.7/dist-packages (0.15.0) Requirement already satisfied: typeguard>=2.7 in /usr/local/lib/python3.7/dist-packages (from tensorflow_addons) (2.7.1)
In [4]:
%tensorflow_version 2.x
import tensorflow as tf
print(tf.__version__)
2.7.0
In [5]:
import numpy as np
np.random.seed(2022)
In [6]:
if VERBOSE:
! nvidia-smi
! cat /proc/cpuinfo
! cat /etc/issue
! free -h
In [7]:
from google.colab import drive
drive.mount('/content/drive')
Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
In [8]:
if VERBOSE:
! ls /content/drive
Download source file from Google Drive or nw.tsuda.ac.jp¶
Basically, gdown from Google Drive.
Download from nw.tsuda.ac.jp above only if the specifications of Google Drive change and you cannot download from Google Drive.
Google Drive または nw.tsuda.ac.jp からファイルをダウンロードする¶
基本的に、Google Drive から gdown してください。
Google Drive の仕様が変わってダウンロードができない場合にのみ、nw.tsuda.ac.jp からダウンロードしてください。
In [9]:
# Download source file
nw_path = './nw'
! rm -rf {nw_path}
! mkdir -p {nw_path}
if True: # from Google Drive
url_model = 'https://drive.google.com/uc?id=1aNvpPDNeDWYQFu_PA1kOtFlzcO5seHky'
! (cd {nw_path}; gdown {url_model})
else: # from nw.tsuda.ac.jp
URL_NW = 'https://nw.tsuda.ac.jp/lec/GoogleColab/pub'
url_model = f'{URL_NW}/models/CycleGAN.py'
! wget -nd {url_model} -P {nw_path}
Downloading... From: https://drive.google.com/uc?id=1aNvpPDNeDWYQFu_PA1kOtFlzcO5seHky To: /content/nw/CycleGAN.py 100% 24.6k/24.6k [00:00<00:00, 21.4MB/s]
In [10]:
if VERBOSE:
! cat {nw_path}/CycleGAN.py
Preparing VidTIMIT dataset¶
Official WWW of VidTIMIT dataset: http://conradsanderson.id.au/vidtimit/
zip files of 2 persons of VidTIMIT dataset:
https://zenodo.org/record/158963/files/fadg0.zip
https://zenodo.org/record/158963/files/faks0.zip
zip files mirrored on my Google Drive:
https://drive.google.com/uc?id=
VidTIMIT データセットを用意する¶
VidTIMIT データセットの公式ページ: http://conradsanderson.id.au/vidtimit/
VidTIMIT の2名の顔写真の zip ファイル:
https://zenodo.org/record/158963/files/fadg0.zip
https://zenodo.org/record/158963/files/faks0.zip
自分の Google Drive 上にミラーした顔写真:
https://drive.google.com/uc?id=
https://drive.google.com/uc?id=
In [11]:
# Download zip files
VidTIMIT_site = 'https://zenodo.org/record/158963/files/'
VidTIMIT_fnames = [ 'fadg0', 'faks0']
Mirrored_files = [
'https://drive.google.com/uc?id=1_Fv4p9MDNphMZMnLpEvtCtnwXgN8N5Cj',
'https://drive.google.com/uc?id=1Y8j7ThPVqB0gbx4hb9aMEp9Ptr9wFuoz'
]
data_dir = './datasets'
! rm -rf $data_dir
! mkdir -p $data_dir
for i, fname in enumerate(VidTIMIT_fnames):
fzip = fname + '.zip'
if False:
url = VidTIMIT_site + fzip
!wget {url}
else:
url = Mirrored_files[i]
!gdown {url}
!unzip -q {fzip} -d {data_dir}
Downloading... From: https://drive.google.com/uc?id=1_Fv4p9MDNphMZMnLpEvtCtnwXgN8N5Cj To: /content/fadg0.zip 100% 81.6M/81.6M [00:00<00:00, 260MB/s] Downloading... From: https://drive.google.com/uc?id=1Y8j7ThPVqB0gbx4hb9aMEp9Ptr9wFuoz To: /content/faks0.zip 100% 64.2M/64.2M [00:00<00:00, 201MB/s]
In [12]:
IMAGE_SIZE = 128
In [13]:
import os
import glob
imgA_paths = glob.glob(os.path.join(data_dir, VidTIMIT_fnames[0], 'video/*/[0-9]*'))
imgB_paths = glob.glob(os.path.join(data_dir, VidTIMIT_fnames[1], 'video/*/[0-9]*'))
In [14]:
import numpy as np
validation_split = 0.05
nA, nB = len(imgA_paths), len(imgB_paths)
splitA = int(nA * (1 - validation_split))
splitB = int(nB * (1 - validation_split))
np.random.shuffle(imgA_paths)
np.random.shuffle(imgB_paths)
train_imgA_paths = imgA_paths[:splitA]
test_imgA_paths = imgA_paths[splitA:]
train_imgB_paths = imgB_paths[:splitB]
test_imgB_paths = imgB_paths[splitB:]
In [15]:
# Image: [-1, 1] --> [0, 1]
def M1P1_ZeroP1(imgs):
imgs = (imgs + 1) * 0.5
return np.clip(imgs, 0, 1)
# Image: [0, 1] --> [-1, 1]
def ZeroP1_M1P1(imgs):
return imgs * 2 - 1
In [16]:
from nw.CycleGAN import PairDataset
pair_flow = PairDataset(train_imgA_paths, train_imgB_paths, target_size=(IMAGE_SIZE, IMAGE_SIZE))
test_pair_flow = PairDataset(test_imgA_paths, test_imgB_paths, target_size=(IMAGE_SIZE, IMAGE_SIZE))
In [17]:
from nw.CycleGAN import CycleGAN
gan = CycleGAN.load(save_path)
print(gan.epoch)
5
In [18]:
gan.train(
pair_flow,
epochs = MAX_EPOCHS,
batch_size=1,
run_folder = save_path,
print_step_interval = 1000,
save_epoch_interval = 50
)
WARNING:tensorflow:5 out of the last 5 calls to <function Model.make_train_function.<locals>.train_function at 0x7f561bd5d170> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details. Epoch 6/150 1000/2595 [D loss: 0.062 acc: 1.000][G loss: 2.184 adv: 1.268 recon: 0.076 id: 0.076 time: 0:03:13.098820 Epoch 6/150 2000/2595 [D loss: 0.095 acc: 0.863][G loss: 2.319 adv: 1.147 recon: 0.098 id: 0.094 time: 0:06:14.734277 Epoch 6/150 [D loss: 0.079 acc: 0.927][G loss: 1.962 adv: 1.003 recon: 0.080 id: 0.079 time: 0:08:02.714840 Epoch 7/150 1000/2595 [D loss: 0.043 acc: 0.984][G loss: 2.668 adv: 1.744 recon: 0.077 id: 0.076 time: 0:11:03.594376 Epoch 7/150 2000/2595 [D loss: 0.034 acc: 0.995][G loss: 1.695 adv: 0.578 recon: 0.093 id: 0.092 time: 0:14:06.746020 Epoch 7/150 [D loss: 0.073 acc: 0.935][G loss: 2.009 adv: 1.061 recon: 0.079 id: 0.078 time: 0:15:55.227086 Epoch 8/150 1000/2595 [D loss: 0.060 acc: 0.981][G loss: 2.155 adv: 1.214 recon: 0.079 id: 0.078 time: 0:18:58.266541 Epoch 8/150 2000/2595 [D loss: 0.104 acc: 0.935][G loss: 3.006 adv: 1.872 recon: 0.094 id: 0.095 time: 0:22:02.163284 Epoch 8/150 [D loss: 0.075 acc: 0.934][G loss: 2.003 adv: 1.068 recon: 0.078 id: 0.077 time: 0:23:51.079122 Epoch 9/150 1000/2595 [D loss: 0.052 acc: 0.987][G loss: 2.040 adv: 1.105 recon: 0.079 id: 0.074 time: 0:26:54.876698 Epoch 9/150 2000/2595 [D loss: 0.122 acc: 0.847][G loss: 2.462 adv: 1.394 recon: 0.089 id: 0.089 time: 0:29:58.249684 Epoch 9/150 [D loss: 0.072 acc: 0.938][G loss: 2.009 adv: 1.087 recon: 0.077 id: 0.076 time: 0:31:48.129384 Epoch 10/150 1000/2595 [D loss: 0.032 acc: 0.994][G loss: 2.295 adv: 1.394 recon: 0.075 id: 0.075 time: 0:34:52.483878 Epoch 10/150 2000/2595 [D loss: 0.055 acc: 0.986][G loss: 2.222 adv: 1.125 recon: 0.092 id: 0.090 time: 0:37:56.018048 Epoch 10/150 [D loss: 0.070 acc: 0.942][G loss: 2.007 adv: 1.094 recon: 0.076 id: 0.075 time: 0:39:43.749403 Epoch 11/150 1000/2595 [D loss: 0.023 acc: 0.997][G loss: 2.208 adv: 1.331 recon: 0.073 id: 0.072 time: 0:42:45.145642 Epoch 11/150 2000/2595 [D loss: 0.072 acc: 0.935][G loss: 2.022 adv: 0.897 recon: 0.094 id: 0.090 time: 0:45:46.053091 Epoch 11/150 [D loss: 0.064 acc: 0.950][G loss: 2.058 adv: 1.153 recon: 0.076 id: 0.075 time: 0:47:34.524425 Epoch 12/150 1000/2595 [D loss: 0.019 acc: 0.998][G loss: 1.968 adv: 1.094 recon: 0.073 id: 0.071 time: 0:50:35.492434 Epoch 12/150 2000/2595 [D loss: 0.177 acc: 0.683][G loss: 2.431 adv: 1.344 recon: 0.091 id: 0.087 time: 0:53:36.317946 Epoch 12/150 [D loss: 0.068 acc: 0.943][G loss: 2.018 adv: 1.124 recon: 0.075 id: 0.074 time: 0:55:23.549150 Epoch 13/150 1000/2595 [D loss: 0.081 acc: 0.962][G loss: 2.519 adv: 1.663 recon: 0.071 id: 0.071 time: 0:58:26.072169 Epoch 13/150 2000/2595 [D loss: 0.055 acc: 0.966][G loss: 2.436 adv: 1.299 recon: 0.096 id: 0.090 time: 1:01:28.398208 Epoch 13/150 [D loss: 0.062 acc: 0.952][G loss: 2.120 adv: 1.221 recon: 0.075 id: 0.074 time: 1:03:18.003925 Epoch 14/150 1000/2595 [D loss: 0.041 acc: 1.000][G loss: 2.459 adv: 1.531 recon: 0.078 id: 0.073 time: 1:06:20.914943 Epoch 14/150 2000/2595 [D loss: 0.065 acc: 0.971][G loss: 2.499 adv: 1.427 recon: 0.089 id: 0.090 time: 1:09:25.004414 Epoch 14/150 [D loss: 0.060 acc: 0.956][G loss: 2.102 adv: 1.205 recon: 0.075 id: 0.074 time: 1:11:13.998680 Epoch 15/150 1000/2595 [D loss: 0.040 acc: 0.989][G loss: 2.237 adv: 1.358 recon: 0.073 id: 0.073 time: 1:14:18.445557 Epoch 15/150 2000/2595 [D loss: 0.028 acc: 0.997][G loss: 2.710 adv: 1.647 recon: 0.089 id: 0.088 time: 1:17:22.722413 Epoch 15/150 [D loss: 0.060 acc: 0.955][G loss: 2.121 adv: 1.232 recon: 0.074 id: 0.073 time: 1:19:12.882550 Epoch 16/150 1000/2595 [D loss: 0.045 acc: 0.977][G loss: 2.288 adv: 1.437 recon: 0.071 id: 0.072 time: 1:22:16.872028 Epoch 16/150 2000/2595 [D loss: 0.110 acc: 0.831][G loss: 2.564 adv: 1.478 recon: 0.091 id: 0.088 time: 1:25:22.465188 Epoch 16/150 [D loss: 0.060 acc: 0.956][G loss: 2.103 adv: 1.222 recon: 0.074 id: 0.073 time: 1:27:12.904729 Epoch 17/150 1000/2595 [D loss: 0.055 acc: 0.969][G loss: 2.320 adv: 1.465 recon: 0.071 id: 0.071 time: 1:30:19.573067 Epoch 17/150 2000/2595 [D loss: 0.085 acc: 0.934][G loss: 2.977 adv: 1.894 recon: 0.091 id: 0.088 time: 1:33:24.950847 Epoch 17/150 [D loss: 0.060 acc: 0.957][G loss: 2.110 adv: 1.231 recon: 0.073 id: 0.072 time: 1:35:15.792532 Epoch 18/150 1000/2595 [D loss: 0.035 acc: 0.999][G loss: 1.923 adv: 1.085 recon: 0.070 id: 0.071 time: 1:38:21.940078 Epoch 18/150 2000/2595 [D loss: 0.020 acc: 0.999][G loss: 2.315 adv: 1.231 recon: 0.091 id: 0.087 time: 1:41:26.944496 Epoch 18/150 [D loss: 0.061 acc: 0.954][G loss: 2.073 adv: 1.197 recon: 0.073 id: 0.072 time: 1:43:16.592577 Epoch 19/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 2.372 adv: 1.507 recon: 0.072 id: 0.072 time: 1:46:22.803804 Epoch 19/150 2000/2595 [D loss: 0.031 acc: 0.987][G loss: 2.333 adv: 1.226 recon: 0.093 id: 0.089 time: 1:49:31.323355 Epoch 19/150 [D loss: 0.063 acc: 0.952][G loss: 2.099 adv: 1.216 recon: 0.074 id: 0.072 time: 1:51:21.891019 Epoch 20/150 1000/2595 [D loss: 0.041 acc: 0.990][G loss: 2.350 adv: 1.484 recon: 0.072 id: 0.073 time: 1:54:27.997146 Epoch 20/150 2000/2595 [D loss: 0.065 acc: 0.920][G loss: 2.557 adv: 1.518 recon: 0.087 id: 0.086 time: 1:57:33.075048 Epoch 20/150 [D loss: 0.061 acc: 0.953][G loss: 2.136 adv: 1.251 recon: 0.074 id: 0.073 time: 1:59:23.459784 Epoch 21/150 1000/2595 [D loss: 0.102 acc: 0.817][G loss: 2.764 adv: 1.896 recon: 0.073 id: 0.070 time: 2:02:28.915967 Epoch 21/150 2000/2595 [D loss: 0.027 acc: 0.994][G loss: 2.625 adv: 1.543 recon: 0.091 id: 0.087 time: 2:05:33.958521 Epoch 21/150 [D loss: 0.058 acc: 0.959][G loss: 2.154 adv: 1.274 recon: 0.074 id: 0.072 time: 2:07:24.272366 Epoch 22/150 1000/2595 [D loss: 0.019 acc: 0.998][G loss: 2.155 adv: 1.282 recon: 0.073 id: 0.072 time: 2:10:30.567161 Epoch 22/150 2000/2595 [D loss: 0.046 acc: 0.997][G loss: 2.210 adv: 1.144 recon: 0.089 id: 0.089 time: 2:13:36.323169 Epoch 22/150 [D loss: 0.056 acc: 0.960][G loss: 2.184 adv: 1.305 recon: 0.073 id: 0.072 time: 2:15:27.208474 Epoch 23/150 1000/2595 [D loss: 0.027 acc: 0.998][G loss: 2.522 adv: 1.580 recon: 0.079 id: 0.076 time: 2:18:31.704083 Epoch 23/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.440 adv: 1.345 recon: 0.092 id: 0.088 time: 2:21:37.138137 Epoch 23/150 [D loss: 0.055 acc: 0.960][G loss: 2.189 adv: 1.309 recon: 0.074 id: 0.072 time: 2:23:26.736563 Epoch 24/150 1000/2595 [D loss: 0.036 acc: 0.992][G loss: 2.779 adv: 1.899 recon: 0.073 id: 0.073 time: 2:26:32.621088 Epoch 24/150 2000/2595 [D loss: 0.063 acc: 0.948][G loss: 2.595 adv: 1.530 recon: 0.089 id: 0.087 time: 2:29:38.426095 Epoch 24/150 [D loss: 0.054 acc: 0.962][G loss: 2.168 adv: 1.295 recon: 0.073 id: 0.072 time: 2:31:29.314592 Epoch 25/150 1000/2595 [D loss: 0.036 acc: 0.999][G loss: 2.168 adv: 1.294 recon: 0.073 id: 0.073 time: 2:34:34.085912 Epoch 25/150 2000/2595 [D loss: 0.109 acc: 0.900][G loss: 2.589 adv: 1.550 recon: 0.087 id: 0.085 time: 2:37:39.323185 Epoch 25/150 [D loss: 0.053 acc: 0.965][G loss: 2.193 adv: 1.323 recon: 0.073 id: 0.072 time: 2:39:29.818083 Epoch 26/150 1000/2595 [D loss: 0.072 acc: 0.982][G loss: 2.437 adv: 1.573 recon: 0.072 id: 0.073 time: 2:42:36.351539 Epoch 26/150 2000/2595 [D loss: 0.049 acc: 0.974][G loss: 2.954 adv: 1.846 recon: 0.092 id: 0.092 time: 2:45:42.200479 Epoch 26/150 [D loss: 0.057 acc: 0.959][G loss: 2.174 adv: 1.306 recon: 0.073 id: 0.072 time: 2:47:33.010013 Epoch 27/150 1000/2595 [D loss: 0.044 acc: 0.994][G loss: 2.221 adv: 1.386 recon: 0.069 id: 0.071 time: 2:50:38.156452 Epoch 27/150 2000/2595 [D loss: 0.037 acc: 0.999][G loss: 2.356 adv: 1.311 recon: 0.088 id: 0.084 time: 2:53:43.889973 Epoch 27/150 [D loss: 0.060 acc: 0.953][G loss: 2.130 adv: 1.263 recon: 0.072 id: 0.071 time: 2:55:34.209886 Epoch 28/150 1000/2595 [D loss: 0.051 acc: 0.983][G loss: 2.268 adv: 1.428 recon: 0.070 id: 0.069 time: 2:58:40.566678 Epoch 28/150 2000/2595 [D loss: 0.038 acc: 0.991][G loss: 3.002 adv: 1.961 recon: 0.087 id: 0.085 time: 3:01:46.369030 Epoch 28/150 [D loss: 0.057 acc: 0.959][G loss: 2.130 adv: 1.267 recon: 0.072 id: 0.071 time: 3:03:36.978733 Epoch 29/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.142 adv: 1.294 recon: 0.071 id: 0.071 time: 3:06:42.639144 Epoch 29/150 2000/2595 [D loss: 0.027 acc: 1.000][G loss: 2.687 adv: 1.641 recon: 0.088 id: 0.085 time: 3:09:48.628458 Epoch 29/150 [D loss: 0.056 acc: 0.959][G loss: 2.166 adv: 1.303 recon: 0.072 id: 0.071 time: 3:11:39.020633 Epoch 30/150 1000/2595 [D loss: 0.029 acc: 0.995][G loss: 2.290 adv: 1.430 recon: 0.072 id: 0.072 time: 3:14:45.448632 Epoch 30/150 2000/2595 [D loss: 0.053 acc: 0.960][G loss: 2.900 adv: 1.873 recon: 0.086 id: 0.084 time: 3:17:50.619036 Epoch 30/150 [D loss: 0.057 acc: 0.957][G loss: 2.174 adv: 1.316 recon: 0.072 id: 0.071 time: 3:19:41.212781 Epoch 31/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.232 adv: 1.389 recon: 0.070 id: 0.072 time: 3:22:47.340107 Epoch 31/150 2000/2595 [D loss: 0.087 acc: 0.931][G loss: 2.239 adv: 1.195 recon: 0.088 id: 0.084 time: 3:25:53.014267 Epoch 31/150 [D loss: 0.061 acc: 0.949][G loss: 2.142 adv: 1.284 recon: 0.072 id: 0.070 time: 3:27:43.623903 Epoch 32/150 1000/2595 [D loss: 0.085 acc: 0.930][G loss: 1.922 adv: 1.081 recon: 0.070 id: 0.071 time: 3:30:49.378037 Epoch 32/150 2000/2595 [D loss: 0.100 acc: 0.831][G loss: 1.795 adv: 0.759 recon: 0.087 id: 0.085 time: 3:33:54.589815 Epoch 32/150 [D loss: 0.061 acc: 0.954][G loss: 2.197 adv: 1.299 recon: 0.075 id: 0.074 time: 3:35:44.910875 Epoch 33/150 1000/2595 [D loss: 0.036 acc: 0.978][G loss: 2.856 adv: 1.827 recon: 0.086 id: 0.086 time: 3:38:49.746626 Epoch 33/150 2000/2595 [D loss: 0.036 acc: 0.996][G loss: 2.145 adv: 1.061 recon: 0.091 id: 0.089 time: 3:41:55.271380 Epoch 33/150 [D loss: 0.052 acc: 0.965][G loss: 2.249 adv: 1.301 recon: 0.079 id: 0.077 time: 3:43:45.662322 Epoch 34/150 1000/2595 [D loss: 0.016 acc: 0.997][G loss: 2.577 adv: 1.698 recon: 0.074 id: 0.072 time: 3:46:51.218941 Epoch 34/150 2000/2595 [D loss: 0.076 acc: 0.914][G loss: 2.039 adv: 0.972 recon: 0.090 id: 0.085 time: 3:49:56.605842 Epoch 34/150 [D loss: 0.055 acc: 0.961][G loss: 2.174 adv: 1.284 recon: 0.074 id: 0.073 time: 3:51:47.101668 Epoch 35/150 1000/2595 [D loss: 0.060 acc: 0.958][G loss: 2.803 adv: 1.951 recon: 0.071 id: 0.070 time: 3:54:52.515827 Epoch 35/150 2000/2595 [D loss: 0.059 acc: 0.943][G loss: 2.883 adv: 1.812 recon: 0.090 id: 0.086 time: 3:57:57.523766 Epoch 35/150 [D loss: 0.050 acc: 0.967][G loss: 2.259 adv: 1.378 recon: 0.074 id: 0.072 time: 3:59:47.855824 Epoch 36/150 1000/2595 [D loss: 0.035 acc: 0.999][G loss: 1.733 adv: 0.888 recon: 0.071 id: 0.070 time: 4:02:52.242039 Epoch 36/150 2000/2595 [D loss: 0.067 acc: 0.959][G loss: 2.315 adv: 1.280 recon: 0.087 id: 0.084 time: 4:05:57.739914 Epoch 36/150 [D loss: 0.053 acc: 0.962][G loss: 2.240 adv: 1.371 recon: 0.073 id: 0.071 time: 4:07:47.394656 Epoch 37/150 1000/2595 [D loss: 0.045 acc: 0.979][G loss: 1.723 adv: 0.905 recon: 0.068 id: 0.068 time: 4:10:52.379790 Epoch 37/150 2000/2595 [D loss: 0.046 acc: 0.998][G loss: 3.338 adv: 2.243 recon: 0.092 id: 0.088 time: 4:13:56.921740 Epoch 37/150 [D loss: 0.056 acc: 0.958][G loss: 2.141 adv: 1.282 recon: 0.072 id: 0.070 time: 4:15:47.533579 Epoch 38/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.354 adv: 1.543 recon: 0.068 id: 0.067 time: 4:18:52.264550 Epoch 38/150 2000/2595 [D loss: 0.022 acc: 0.999][G loss: 2.165 adv: 1.101 recon: 0.089 id: 0.086 time: 4:21:57.797224 Epoch 38/150 [D loss: 0.053 acc: 0.965][G loss: 2.210 adv: 1.335 recon: 0.073 id: 0.071 time: 4:23:47.457921 Epoch 39/150 1000/2595 [D loss: 0.028 acc: 0.992][G loss: 2.403 adv: 1.548 recon: 0.071 id: 0.071 time: 4:26:52.969076 Epoch 39/150 2000/2595 [D loss: 0.036 acc: 0.999][G loss: 2.187 adv: 1.132 recon: 0.089 id: 0.085 time: 4:29:58.111219 Epoch 39/150 [D loss: 0.048 acc: 0.969][G loss: 2.299 adv: 1.415 recon: 0.074 id: 0.072 time: 4:31:48.421697 Epoch 40/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.218 adv: 1.393 recon: 0.069 id: 0.069 time: 4:34:52.740982 Epoch 40/150 2000/2595 [D loss: 0.044 acc: 0.996][G loss: 2.555 adv: 1.528 recon: 0.086 id: 0.083 time: 4:37:57.834374 Epoch 40/150 [D loss: 0.046 acc: 0.971][G loss: 2.285 adv: 1.419 recon: 0.072 id: 0.071 time: 4:39:47.362697 Epoch 41/150 1000/2595 [D loss: 0.047 acc: 0.999][G loss: 2.989 adv: 2.115 recon: 0.073 id: 0.074 time: 4:42:52.615859 Epoch 41/150 2000/2595 [D loss: 0.080 acc: 0.944][G loss: 2.051 adv: 1.025 recon: 0.086 id: 0.083 time: 4:45:57.002274 Epoch 41/150 [D loss: 0.050 acc: 0.966][G loss: 2.237 adv: 1.375 recon: 0.072 id: 0.071 time: 4:47:47.040448 Epoch 42/150 1000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.650 adv: 1.805 recon: 0.071 id: 0.069 time: 4:50:51.854794 Epoch 42/150 2000/2595 [D loss: 0.046 acc: 1.000][G loss: 2.842 adv: 1.802 recon: 0.088 id: 0.082 time: 4:53:56.298720 Epoch 42/150 [D loss: 0.051 acc: 0.965][G loss: 2.196 adv: 1.337 recon: 0.072 id: 0.070 time: 4:55:45.785264 Epoch 43/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 1.984 adv: 1.152 recon: 0.070 id: 0.069 time: 4:58:50.604572 Epoch 43/150 2000/2595 [D loss: 0.037 acc: 0.996][G loss: 2.638 adv: 1.604 recon: 0.087 id: 0.084 time: 5:01:54.873099 Epoch 43/150 [D loss: 0.052 acc: 0.965][G loss: 2.180 adv: 1.328 recon: 0.071 id: 0.070 time: 5:03:45.125369 Epoch 44/150 1000/2595 [D loss: 0.053 acc: 0.997][G loss: 2.489 adv: 1.660 recon: 0.069 id: 0.069 time: 5:06:49.372884 Epoch 44/150 2000/2595 [D loss: 0.087 acc: 0.969][G loss: 3.199 adv: 2.170 recon: 0.086 id: 0.083 time: 5:09:53.965545 Epoch 44/150 [D loss: 0.053 acc: 0.964][G loss: 2.190 adv: 1.341 recon: 0.071 id: 0.070 time: 5:11:43.631578 Epoch 45/150 1000/2595 [D loss: 0.050 acc: 0.965][G loss: 2.214 adv: 1.416 recon: 0.066 id: 0.068 time: 5:14:48.132611 Epoch 45/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.488 adv: 1.442 recon: 0.088 id: 0.083 time: 5:17:52.791835 Epoch 45/150 [D loss: 0.054 acc: 0.959][G loss: 2.205 adv: 1.359 recon: 0.071 id: 0.069 time: 5:19:42.996186 Epoch 46/150 1000/2595 [D loss: 0.065 acc: 0.986][G loss: 2.263 adv: 1.429 recon: 0.070 id: 0.069 time: 5:22:47.656645 Epoch 46/150 2000/2595 [D loss: 0.038 acc: 0.990][G loss: 3.163 adv: 2.144 recon: 0.086 id: 0.081 time: 5:25:52.012794 Epoch 46/150 [D loss: 0.054 acc: 0.961][G loss: 2.204 adv: 1.360 recon: 0.071 id: 0.069 time: 5:27:42.116659 Epoch 47/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.182 adv: 1.365 recon: 0.068 id: 0.067 time: 5:30:46.271509 Epoch 47/150 2000/2595 [D loss: 0.062 acc: 0.974][G loss: 2.377 adv: 1.307 recon: 0.090 id: 0.084 time: 5:33:51.209543 Epoch 47/150 [D loss: 0.053 acc: 0.964][G loss: 2.249 adv: 1.394 recon: 0.072 id: 0.070 time: 5:35:40.204410 Epoch 48/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.483 adv: 1.659 recon: 0.069 id: 0.069 time: 5:38:41.542643 Epoch 48/150 2000/2595 [D loss: 0.086 acc: 0.866][G loss: 2.502 adv: 1.495 recon: 0.084 id: 0.083 time: 5:41:42.579689 Epoch 48/150 [D loss: 0.053 acc: 0.964][G loss: 2.196 adv: 1.346 recon: 0.071 id: 0.069 time: 5:43:30.174600 Epoch 49/150 1000/2595 [D loss: 0.042 acc: 0.992][G loss: 3.137 adv: 2.270 recon: 0.073 id: 0.071 time: 5:46:29.125294 Epoch 49/150 2000/2595 [D loss: 0.081 acc: 0.964][G loss: 2.645 adv: 1.619 recon: 0.086 id: 0.083 time: 5:49:29.454908 Epoch 49/150 [D loss: 0.056 acc: 0.960][G loss: 2.173 adv: 1.323 recon: 0.071 id: 0.069 time: 5:51:15.530280 Epoch 50/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.069 adv: 1.264 recon: 0.067 id: 0.066 time: 5:54:14.694723 Epoch 50/150 2000/2595 [D loss: 0.052 acc: 0.957][G loss: 2.345 adv: 1.317 recon: 0.086 id: 0.082 time: 5:57:12.821335 Epoch 50/150 [D loss: 0.057 acc: 0.958][G loss: 2.153 adv: 1.311 recon: 0.070 id: 0.069 time: 5:58:59.576782 Epoch 51/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.339 adv: 1.542 recon: 0.067 id: 0.066 time: 6:01:59.633310 Epoch 51/150 2000/2595 [D loss: 0.033 acc: 0.996][G loss: 2.972 adv: 1.911 recon: 0.089 id: 0.085 time: 6:04:58.769062 Epoch 51/150 [D loss: 0.052 acc: 0.967][G loss: 2.200 adv: 1.349 recon: 0.071 id: 0.069 time: 6:06:45.192936 Epoch 52/150 1000/2595 [D loss: 0.060 acc: 0.946][G loss: 2.240 adv: 1.445 recon: 0.066 id: 0.067 time: 6:09:44.969406 Epoch 52/150 2000/2595 [D loss: 0.077 acc: 0.922][G loss: 3.271 adv: 2.199 recon: 0.090 id: 0.084 time: 6:12:43.316948 Epoch 52/150 [D loss: 0.054 acc: 0.962][G loss: 2.245 adv: 1.390 recon: 0.072 id: 0.069 time: 6:14:30.083192 Epoch 53/150 1000/2595 [D loss: 0.076 acc: 0.939][G loss: 2.411 adv: 1.586 recon: 0.069 id: 0.069 time: 6:17:28.870494 Epoch 53/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.242 adv: 1.228 recon: 0.084 id: 0.085 time: 6:20:28.645928 Epoch 53/150 [D loss: 0.051 acc: 0.965][G loss: 2.259 adv: 1.407 recon: 0.071 id: 0.069 time: 6:22:15.125090 Epoch 54/150 1000/2595 [D loss: 0.023 acc: 0.999][G loss: 2.597 adv: 1.772 recon: 0.069 id: 0.068 time: 6:25:14.420199 Epoch 54/150 2000/2595 [D loss: 0.022 acc: 0.998][G loss: 3.163 adv: 2.122 recon: 0.087 id: 0.086 time: 6:28:13.718188 Epoch 54/150 [D loss: 0.047 acc: 0.972][G loss: 2.258 adv: 1.404 recon: 0.072 id: 0.069 time: 6:30:00.980146 Epoch 55/150 1000/2595 [D loss: 0.033 acc: 1.000][G loss: 2.789 adv: 1.947 recon: 0.070 id: 0.069 time: 6:33:00.407668 Epoch 55/150 2000/2595 [D loss: 0.040 acc: 0.977][G loss: 2.918 adv: 1.873 recon: 0.088 id: 0.084 time: 6:35:59.794653 Epoch 55/150 [D loss: 0.049 acc: 0.967][G loss: 2.249 adv: 1.396 recon: 0.071 id: 0.069 time: 6:37:46.414743 Epoch 56/150 1000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.606 adv: 1.773 recon: 0.070 id: 0.069 time: 6:40:46.387588 Epoch 56/150 2000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.695 adv: 1.668 recon: 0.086 id: 0.084 time: 6:43:45.509763 Epoch 56/150 [D loss: 0.045 acc: 0.972][G loss: 2.311 adv: 1.452 recon: 0.072 id: 0.070 time: 6:45:32.382935 Epoch 57/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.484 adv: 1.648 recon: 0.070 id: 0.070 time: 6:48:31.566145 Epoch 57/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.433 adv: 1.415 recon: 0.085 id: 0.085 time: 6:51:30.823351 Epoch 57/150 [D loss: 0.046 acc: 0.971][G loss: 2.270 adv: 1.417 recon: 0.071 id: 0.070 time: 6:53:17.244884 Epoch 58/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.179 adv: 1.350 recon: 0.069 id: 0.068 time: 6:56:17.202282 Epoch 58/150 2000/2595 [D loss: 0.052 acc: 0.978][G loss: 2.776 adv: 1.772 recon: 0.084 id: 0.083 time: 6:59:16.694820 Epoch 58/150 [D loss: 0.052 acc: 0.962][G loss: 2.263 adv: 1.417 recon: 0.071 id: 0.069 time: 7:01:03.974931 Epoch 59/150 1000/2595 [D loss: 0.044 acc: 0.995][G loss: 2.511 adv: 1.685 recon: 0.069 id: 0.068 time: 7:04:03.371036 Epoch 59/150 2000/2595 [D loss: 0.020 acc: 0.999][G loss: 2.675 adv: 1.665 recon: 0.085 id: 0.083 time: 7:07:03.447681 Epoch 59/150 [D loss: 0.053 acc: 0.961][G loss: 2.218 adv: 1.376 recon: 0.070 id: 0.069 time: 7:08:50.238642 Epoch 60/150 1000/2595 [D loss: 0.038 acc: 0.996][G loss: 2.147 adv: 1.354 recon: 0.066 id: 0.067 time: 7:11:49.868451 Epoch 60/150 2000/2595 [D loss: 0.052 acc: 0.975][G loss: 2.526 adv: 1.517 recon: 0.084 id: 0.083 time: 7:14:48.372867 Epoch 60/150 [D loss: 0.049 acc: 0.967][G loss: 2.238 adv: 1.398 recon: 0.070 id: 0.069 time: 7:16:34.900658 Epoch 61/150 1000/2595 [D loss: 0.019 acc: 0.999][G loss: 2.076 adv: 1.272 recon: 0.067 id: 0.067 time: 7:19:34.061726 Epoch 61/150 2000/2595 [D loss: 0.021 acc: 0.997][G loss: 2.708 adv: 1.660 recon: 0.088 id: 0.084 time: 7:22:33.511664 Epoch 61/150 [D loss: 0.048 acc: 0.967][G loss: 2.260 adv: 1.421 recon: 0.070 id: 0.069 time: 7:24:20.209820 Epoch 62/150 1000/2595 [D loss: 0.034 acc: 0.999][G loss: 2.570 adv: 1.737 recon: 0.070 id: 0.068 time: 7:27:20.672228 Epoch 62/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.672 adv: 1.649 recon: 0.086 id: 0.083 time: 7:30:20.183659 Epoch 62/150 [D loss: 0.049 acc: 0.965][G loss: 2.253 adv: 1.419 recon: 0.070 id: 0.068 time: 7:32:07.548868 Epoch 63/150 1000/2595 [D loss: 0.082 acc: 0.889][G loss: 2.473 adv: 1.686 recon: 0.065 id: 0.067 time: 7:35:06.869715 Epoch 63/150 2000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.516 adv: 1.464 recon: 0.088 id: 0.086 time: 7:38:06.769816 Epoch 63/150 [D loss: 0.050 acc: 0.965][G loss: 2.240 adv: 1.410 recon: 0.069 id: 0.068 time: 7:39:53.603877 Epoch 64/150 1000/2595 [D loss: 0.052 acc: 1.000][G loss: 2.399 adv: 1.564 recon: 0.070 id: 0.070 time: 7:42:54.185724 Epoch 64/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.621 adv: 1.599 recon: 0.085 id: 0.083 time: 7:45:53.766283 Epoch 64/150 [D loss: 0.045 acc: 0.972][G loss: 2.268 adv: 1.435 recon: 0.070 id: 0.068 time: 7:47:41.185944 Epoch 65/150 1000/2595 [D loss: 0.065 acc: 0.965][G loss: 2.934 adv: 2.098 recon: 0.070 id: 0.069 time: 7:50:40.627816 Epoch 65/150 2000/2595 [D loss: 0.050 acc: 0.996][G loss: 3.059 adv: 2.028 recon: 0.086 id: 0.084 time: 7:53:40.227058 Epoch 65/150 [D loss: 0.044 acc: 0.974][G loss: 2.272 adv: 1.433 recon: 0.070 id: 0.069 time: 7:55:26.989760 Epoch 66/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.900 adv: 2.055 recon: 0.070 id: 0.071 time: 7:58:26.328519 Epoch 66/150 2000/2595 [D loss: 0.061 acc: 0.937][G loss: 2.823 adv: 1.816 recon: 0.084 id: 0.083 time: 8:01:25.262732 Epoch 66/150 [D loss: 0.049 acc: 0.968][G loss: 2.230 adv: 1.395 recon: 0.070 id: 0.069 time: 8:03:12.812476 Epoch 67/150 1000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.594 adv: 1.789 recon: 0.067 id: 0.066 time: 8:06:12.604175 Epoch 67/150 2000/2595 [D loss: 0.128 acc: 0.806][G loss: 2.106 adv: 1.087 recon: 0.085 id: 0.086 time: 8:09:12.223631 Epoch 67/150 [D loss: 0.045 acc: 0.972][G loss: 2.283 adv: 1.437 recon: 0.071 id: 0.069 time: 8:10:58.877701 Epoch 68/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.402 adv: 1.563 recon: 0.070 id: 0.068 time: 8:13:58.734120 Epoch 68/150 2000/2595 [D loss: 0.015 acc: 1.000][G loss: 3.138 adv: 2.148 recon: 0.082 id: 0.084 time: 8:16:58.120213 Epoch 68/150 [D loss: 0.047 acc: 0.970][G loss: 2.289 adv: 1.445 recon: 0.071 id: 0.069 time: 8:18:45.067919 Epoch 69/150 1000/2595 [D loss: 0.041 acc: 0.998][G loss: 2.423 adv: 1.596 recon: 0.069 id: 0.067 time: 8:21:44.076774 Epoch 69/150 2000/2595 [D loss: 0.070 acc: 0.923][G loss: 2.253 adv: 1.249 recon: 0.084 id: 0.081 time: 8:24:43.630610 Epoch 69/150 [D loss: 0.049 acc: 0.967][G loss: 2.249 adv: 1.408 recon: 0.070 id: 0.069 time: 8:26:30.301595 Epoch 70/150 1000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.893 adv: 2.087 recon: 0.067 id: 0.067 time: 8:29:29.741340 Epoch 70/150 2000/2595 [D loss: 0.404 acc: 0.349][G loss: 2.281 adv: 1.266 recon: 0.085 id: 0.082 time: 8:32:28.625559 Epoch 70/150 [D loss: 0.050 acc: 0.966][G loss: 2.261 adv: 1.423 recon: 0.070 id: 0.069 time: 8:34:16.194892 Epoch 71/150 1000/2595 [D loss: 0.013 acc: 1.000][G loss: 2.493 adv: 1.684 recon: 0.068 id: 0.067 time: 8:37:15.461141 Epoch 71/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.614 adv: 1.606 recon: 0.084 id: 0.082 time: 8:40:14.833194 Epoch 71/150 [D loss: 0.047 acc: 0.970][G loss: 2.277 adv: 1.441 recon: 0.070 id: 0.069 time: 8:42:01.328077 Epoch 72/150 1000/2595 [D loss: 0.080 acc: 0.925][G loss: 2.533 adv: 1.737 recon: 0.066 id: 0.065 time: 8:45:00.939926 Epoch 72/150 2000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.455 adv: 1.441 recon: 0.085 id: 0.083 time: 8:47:59.783210 Epoch 72/150 [D loss: 0.048 acc: 0.968][G loss: 2.283 adv: 1.448 recon: 0.070 id: 0.069 time: 8:49:46.465880 Epoch 73/150 1000/2595 [D loss: 0.023 acc: 0.998][G loss: 2.311 adv: 1.487 recon: 0.069 id: 0.067 time: 8:52:46.187368 Epoch 73/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.754 adv: 1.762 recon: 0.083 id: 0.080 time: 8:55:46.216843 Epoch 73/150 [D loss: 0.049 acc: 0.967][G loss: 2.248 adv: 1.416 recon: 0.069 id: 0.068 time: 8:57:32.694069 Epoch 74/150 1000/2595 [D loss: 0.030 acc: 1.000][G loss: 2.291 adv: 1.496 recon: 0.066 id: 0.065 time: 9:00:31.713187 Epoch 74/150 2000/2595 [D loss: 0.028 acc: 0.998][G loss: 3.100 adv: 2.063 recon: 0.087 id: 0.083 time: 9:03:30.401607 Epoch 74/150 [D loss: 0.048 acc: 0.968][G loss: 2.247 adv: 1.416 recon: 0.069 id: 0.068 time: 9:05:17.239908 Epoch 75/150 1000/2595 [D loss: 0.043 acc: 0.993][G loss: 2.436 adv: 1.627 recon: 0.068 id: 0.067 time: 9:08:16.462308 Epoch 75/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.505 adv: 1.503 recon: 0.084 id: 0.083 time: 9:11:16.229808 Epoch 75/150 [D loss: 0.044 acc: 0.972][G loss: 2.288 adv: 1.458 recon: 0.069 id: 0.068 time: 9:13:03.080915 Epoch 76/150 1000/2595 [D loss: 0.195 acc: 0.689][G loss: 2.062 adv: 1.220 recon: 0.070 id: 0.070 time: 9:16:02.915716 Epoch 76/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.589 adv: 1.577 recon: 0.085 id: 0.081 time: 9:19:02.561653 Epoch 76/150 [D loss: 0.048 acc: 0.967][G loss: 2.301 adv: 1.464 recon: 0.070 id: 0.069 time: 9:20:49.751369 Epoch 77/150 1000/2595 [D loss: 0.247 acc: 0.717][G loss: 1.880 adv: 1.074 recon: 0.067 id: 0.067 time: 9:23:48.625259 Epoch 77/150 2000/2595 [D loss: 0.045 acc: 0.996][G loss: 2.742 adv: 1.738 recon: 0.084 id: 0.082 time: 9:26:47.047803 Epoch 77/150 [D loss: 0.045 acc: 0.971][G loss: 2.318 adv: 1.484 recon: 0.070 id: 0.069 time: 9:28:34.144020 Epoch 78/150 1000/2595 [D loss: 0.291 acc: 0.599][G loss: 2.214 adv: 1.408 recon: 0.067 id: 0.068 time: 9:31:32.721858 Epoch 78/150 2000/2595 [D loss: 0.102 acc: 0.927][G loss: 3.338 adv: 2.321 recon: 0.085 id: 0.083 time: 9:34:31.743595 Epoch 78/150 [D loss: 0.044 acc: 0.971][G loss: 2.314 adv: 1.487 recon: 0.069 id: 0.068 time: 9:36:18.319896 Epoch 79/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.385 adv: 1.584 recon: 0.067 id: 0.067 time: 9:39:17.761826 Epoch 79/150 2000/2595 [D loss: 0.042 acc: 0.995][G loss: 2.717 adv: 1.710 recon: 0.084 id: 0.083 time: 9:42:16.944070 Epoch 79/150 [D loss: 0.051 acc: 0.963][G loss: 2.263 adv: 1.439 recon: 0.069 id: 0.068 time: 9:44:03.893668 Epoch 80/150 1000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.026 adv: 1.242 recon: 0.065 id: 0.065 time: 9:47:02.586640 Epoch 80/150 2000/2595 [D loss: 0.043 acc: 0.988][G loss: 2.717 adv: 1.696 recon: 0.085 id: 0.084 time: 9:50:02.758711 Epoch 80/150 [D loss: 0.047 acc: 0.969][G loss: 2.258 adv: 1.435 recon: 0.069 id: 0.068 time: 9:51:50.041663 Epoch 81/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.039 adv: 1.245 recon: 0.066 id: 0.065 time: 9:54:49.831591 Epoch 81/150 2000/2595 [D loss: 0.038 acc: 0.996][G loss: 3.062 adv: 2.064 recon: 0.083 id: 0.082 time: 9:57:48.616867 Epoch 81/150 [D loss: 0.050 acc: 0.964][G loss: 2.267 adv: 1.444 recon: 0.069 id: 0.068 time: 9:59:35.555490 Epoch 82/150 1000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.569 adv: 1.775 recon: 0.066 id: 0.065 time: 10:02:34.180989 Epoch 82/150 2000/2595 [D loss: 0.089 acc: 0.940][G loss: 2.298 adv: 1.299 recon: 0.084 id: 0.081 time: 10:05:33.137426 Epoch 82/150 [D loss: 0.050 acc: 0.966][G loss: 2.240 adv: 1.417 recon: 0.069 id: 0.068 time: 10:07:20.092094 Epoch 83/150 1000/2595 [D loss: 0.093 acc: 0.913][G loss: 1.859 adv: 1.075 recon: 0.065 id: 0.066 time: 10:10:19.638767 Epoch 83/150 2000/2595 [D loss: 0.089 acc: 0.937][G loss: 2.360 adv: 1.367 recon: 0.083 id: 0.082 time: 10:13:18.590749 Epoch 83/150 [D loss: 0.047 acc: 0.969][G loss: 2.297 adv: 1.475 recon: 0.069 id: 0.068 time: 10:15:05.017007 Epoch 84/150 1000/2595 [D loss: 0.161 acc: 0.718][G loss: 2.275 adv: 1.472 recon: 0.067 id: 0.066 time: 10:18:03.510610 Epoch 84/150 2000/2595 [D loss: 0.047 acc: 0.985][G loss: 2.795 adv: 1.814 recon: 0.082 id: 0.081 time: 10:21:02.311143 Epoch 84/150 [D loss: 0.045 acc: 0.972][G loss: 2.334 adv: 1.501 recon: 0.070 id: 0.069 time: 10:22:49.283528 Epoch 85/150 1000/2595 [D loss: 0.025 acc: 0.997][G loss: 2.438 adv: 1.619 recon: 0.068 id: 0.068 time: 10:25:48.705173 Epoch 85/150 2000/2595 [D loss: 0.075 acc: 0.928][G loss: 2.271 adv: 1.251 recon: 0.085 id: 0.083 time: 10:28:48.580970 Epoch 85/150 [D loss: 0.046 acc: 0.970][G loss: 2.316 adv: 1.487 recon: 0.069 id: 0.069 time: 10:30:35.388568 Epoch 86/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 2.378 adv: 1.577 recon: 0.067 id: 0.067 time: 10:33:34.707859 Epoch 86/150 2000/2595 [D loss: 0.058 acc: 0.963][G loss: 2.977 adv: 1.965 recon: 0.085 id: 0.083 time: 10:36:33.763657 Epoch 86/150 [D loss: 0.043 acc: 0.973][G loss: 2.350 adv: 1.523 recon: 0.069 id: 0.068 time: 10:38:20.259803 Epoch 87/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.833 adv: 1.954 recon: 0.074 id: 0.067 time: 10:41:19.325180 Epoch 87/150 2000/2595 [D loss: 0.024 acc: 0.997][G loss: 2.941 adv: 1.937 recon: 0.084 id: 0.083 time: 10:44:19.136957 Epoch 87/150 [D loss: 0.044 acc: 0.973][G loss: 2.377 adv: 1.538 recon: 0.070 id: 0.069 time: 10:46:05.460124 Epoch 88/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.056 adv: 2.214 recon: 0.070 id: 0.069 time: 10:49:06.156491 Epoch 88/150 2000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.898 adv: 1.878 recon: 0.085 id: 0.084 time: 10:52:05.706665 Epoch 88/150 [D loss: 0.043 acc: 0.974][G loss: 2.376 adv: 1.530 recon: 0.071 id: 0.069 time: 10:53:53.137640 Epoch 89/150 1000/2595 [D loss: 0.087 acc: 0.864][G loss: 3.225 adv: 2.419 recon: 0.067 id: 0.067 time: 10:56:52.165669 Epoch 89/150 2000/2595 [D loss: 0.039 acc: 0.991][G loss: 2.666 adv: 1.655 recon: 0.085 id: 0.082 time: 10:59:51.788630 Epoch 89/150 [D loss: 0.047 acc: 0.969][G loss: 2.274 adv: 1.443 recon: 0.069 id: 0.069 time: 11:01:38.390787 Epoch 90/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 2.597 adv: 1.787 recon: 0.068 id: 0.067 time: 11:04:37.955680 Epoch 90/150 2000/2595 [D loss: 0.263 acc: 0.522][G loss: 2.208 adv: 1.207 recon: 0.084 id: 0.081 time: 11:07:37.741100 Epoch 90/150 [D loss: 0.050 acc: 0.965][G loss: 2.246 adv: 1.418 recon: 0.069 id: 0.069 time: 11:09:25.259284 Epoch 91/150 1000/2595 [D loss: 0.031 acc: 1.000][G loss: 2.488 adv: 1.666 recon: 0.069 id: 0.069 time: 11:12:25.310384 Epoch 91/150 2000/2595 [D loss: 0.056 acc: 0.944][G loss: 2.439 adv: 1.428 recon: 0.084 id: 0.083 time: 11:15:25.228785 Epoch 91/150 [D loss: 0.050 acc: 0.964][G loss: 2.238 adv: 1.414 recon: 0.069 id: 0.068 time: 11:17:11.557938 Epoch 92/150 1000/2595 [D loss: 0.035 acc: 0.997][G loss: 3.344 adv: 2.454 recon: 0.074 id: 0.075 time: 11:20:10.735102 Epoch 92/150 2000/2595 [D loss: 0.054 acc: 0.957][G loss: 2.972 adv: 1.902 recon: 0.090 id: 0.087 time: 11:23:09.788371 Epoch 92/150 [D loss: 0.050 acc: 0.965][G loss: 2.264 adv: 1.437 recon: 0.069 id: 0.068 time: 11:24:57.197563 Epoch 93/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.255 adv: 1.456 recon: 0.066 id: 0.067 time: 11:27:56.149030 Epoch 93/150 2000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.662 adv: 1.656 recon: 0.084 id: 0.081 time: 11:30:55.372618 Epoch 93/150 [D loss: 0.049 acc: 0.964][G loss: 2.252 adv: 1.427 recon: 0.069 id: 0.068 time: 11:32:41.632924 Epoch 94/150 1000/2595 [D loss: 0.057 acc: 0.959][G loss: 2.888 adv: 2.089 recon: 0.067 id: 0.066 time: 11:35:41.573200 Epoch 94/150 2000/2595 [D loss: 0.060 acc: 0.933][G loss: 2.345 adv: 1.335 recon: 0.085 id: 0.082 time: 11:38:40.481836 Epoch 94/150 [D loss: 0.046 acc: 0.970][G loss: 2.296 adv: 1.467 recon: 0.069 id: 0.068 time: 11:40:27.078669 Epoch 95/150 1000/2595 [D loss: 0.012 acc: 1.000][G loss: 2.798 adv: 1.989 recon: 0.067 id: 0.067 time: 11:43:25.494473 Epoch 95/150 2000/2595 [D loss: 0.038 acc: 0.997][G loss: 2.575 adv: 1.556 recon: 0.086 id: 0.082 time: 11:46:24.826669 Epoch 95/150 [D loss: 0.044 acc: 0.972][G loss: 2.311 adv: 1.480 recon: 0.069 id: 0.068 time: 11:48:11.029749 Epoch 96/150 1000/2595 [D loss: 0.030 acc: 1.000][G loss: 2.857 adv: 2.048 recon: 0.067 id: 0.068 time: 11:51:10.317062 Epoch 96/150 2000/2595 [D loss: 0.027 acc: 0.993][G loss: 2.983 adv: 1.975 recon: 0.084 id: 0.082 time: 11:54:08.898165 Epoch 96/150 [D loss: 0.045 acc: 0.970][G loss: 2.340 adv: 1.499 recon: 0.070 id: 0.069 time: 11:55:56.157955 Epoch 97/150 1000/2595 [D loss: 0.024 acc: 1.000][G loss: 2.102 adv: 1.283 recon: 0.069 id: 0.065 time: 11:58:54.727899 Epoch 97/150 2000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.962 adv: 1.961 recon: 0.084 id: 0.081 time: 12:01:54.058545 Epoch 97/150 [D loss: 0.046 acc: 0.968][G loss: 2.316 adv: 1.478 recon: 0.070 id: 0.069 time: 12:03:40.684588 Epoch 98/150 1000/2595 [D loss: 0.053 acc: 0.962][G loss: 2.508 adv: 1.679 recon: 0.070 id: 0.066 time: 12:06:40.146891 Epoch 98/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.878 adv: 1.881 recon: 0.084 id: 0.081 time: 12:09:39.631970 Epoch 98/150 [D loss: 0.045 acc: 0.969][G loss: 2.332 adv: 1.496 recon: 0.070 id: 0.068 time: 12:11:27.197769 Epoch 99/150 1000/2595 [D loss: 0.029 acc: 0.993][G loss: 2.296 adv: 1.486 recon: 0.068 id: 0.066 time: 12:14:26.238419 Epoch 99/150 2000/2595 [D loss: 0.053 acc: 0.960][G loss: 2.939 adv: 1.940 recon: 0.084 id: 0.081 time: 12:17:26.360329 Epoch 99/150 [D loss: 0.044 acc: 0.972][G loss: 2.325 adv: 1.491 recon: 0.070 id: 0.068 time: 12:19:13.038078 Epoch 100/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.419 adv: 1.622 recon: 0.066 id: 0.067 time: 12:22:13.094845 Epoch 100/150 2000/2595 [D loss: 0.048 acc: 0.943][G loss: 2.438 adv: 1.455 recon: 0.082 id: 0.081 time: 12:25:12.166336 Epoch 100/150 [D loss: 0.042 acc: 0.974][G loss: 2.344 adv: 1.511 recon: 0.070 id: 0.068 time: 12:26:59.344969 Epoch 101/150 1000/2595 [D loss: 0.182 acc: 0.680][G loss: 2.078 adv: 1.190 recon: 0.074 id: 0.072 time: 12:30:02.654584 Epoch 101/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.473 adv: 1.471 recon: 0.084 id: 0.084 time: 12:33:02.976838 Epoch 101/150 [D loss: 0.043 acc: 0.974][G loss: 2.359 adv: 1.522 recon: 0.070 id: 0.069 time: 12:34:50.469157 Epoch 102/150 1000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.510 adv: 1.683 recon: 0.069 id: 0.068 time: 12:37:50.413936 Epoch 102/150 2000/2595 [D loss: 0.031 acc: 0.997][G loss: 2.579 adv: 1.571 recon: 0.084 id: 0.085 time: 12:40:49.755482 Epoch 102/150 [D loss: 0.044 acc: 0.973][G loss: 2.365 adv: 1.526 recon: 0.070 id: 0.069 time: 12:42:37.092950 Epoch 103/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 3.229 adv: 2.414 recon: 0.068 id: 0.067 time: 12:45:36.962093 Epoch 103/150 2000/2595 [D loss: 0.058 acc: 0.997][G loss: 3.083 adv: 2.072 recon: 0.084 id: 0.085 time: 12:48:37.290924 Epoch 103/150 [D loss: 0.043 acc: 0.974][G loss: 2.376 adv: 1.538 recon: 0.070 id: 0.069 time: 12:50:23.794837 Epoch 104/150 1000/2595 [D loss: 0.044 acc: 1.000][G loss: 2.879 adv: 2.064 recon: 0.068 id: 0.066 time: 12:53:23.257109 Epoch 104/150 2000/2595 [D loss: 0.045 acc: 0.966][G loss: 2.772 adv: 1.749 recon: 0.086 id: 0.082 time: 12:56:23.199787 Epoch 104/150 [D loss: 0.040 acc: 0.977][G loss: 2.396 adv: 1.561 recon: 0.070 id: 0.069 time: 12:58:10.433593 Epoch 105/150 1000/2595 [D loss: 0.040 acc: 0.981][G loss: 2.793 adv: 1.996 recon: 0.067 id: 0.065 time: 13:01:10.650486 Epoch 105/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 3.089 adv: 2.088 recon: 0.084 id: 0.082 time: 13:04:10.902935 Epoch 105/150 [D loss: 0.045 acc: 0.970][G loss: 2.372 adv: 1.544 recon: 0.069 id: 0.068 time: 13:05:57.391620 Epoch 106/150 1000/2595 [D loss: 0.024 acc: 1.000][G loss: 2.651 adv: 1.859 recon: 0.066 id: 0.066 time: 13:08:57.887264 Epoch 106/150 2000/2595 [D loss: 0.031 acc: 1.000][G loss: 2.725 adv: 1.711 recon: 0.085 id: 0.084 time: 13:12:01.021898 Epoch 106/150 [D loss: 0.047 acc: 0.966][G loss: 2.344 adv: 1.523 recon: 0.069 id: 0.068 time: 13:13:50.116010 Epoch 107/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.843 adv: 2.028 recon: 0.068 id: 0.067 time: 13:16:51.585026 Epoch 107/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.685 adv: 1.682 recon: 0.083 id: 0.084 time: 13:19:53.096760 Epoch 107/150 [D loss: 0.046 acc: 0.970][G loss: 2.344 adv: 1.516 recon: 0.069 id: 0.068 time: 13:21:40.940190 Epoch 108/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.515 adv: 1.693 recon: 0.069 id: 0.067 time: 13:24:42.813889 Epoch 108/150 2000/2595 [D loss: 0.104 acc: 0.871][G loss: 2.940 adv: 1.897 recon: 0.087 id: 0.087 time: 13:27:44.273657 Epoch 108/150 [D loss: 0.048 acc: 0.967][G loss: 2.288 adv: 1.466 recon: 0.069 id: 0.068 time: 13:29:32.068730 Epoch 109/150 1000/2595 [D loss: 0.034 acc: 0.998][G loss: 2.353 adv: 1.561 recon: 0.066 id: 0.066 time: 13:32:32.734603 Epoch 109/150 2000/2595 [D loss: 0.035 acc: 0.957][G loss: 2.739 adv: 1.748 recon: 0.083 id: 0.083 time: 13:35:34.582085 Epoch 109/150 [D loss: 0.050 acc: 0.965][G loss: 2.283 adv: 1.460 recon: 0.069 id: 0.068 time: 13:37:22.208069 Epoch 110/150 1000/2595 [D loss: 0.022 acc: 0.995][G loss: 2.487 adv: 1.693 recon: 0.066 id: 0.067 time: 13:40:23.228542 Epoch 110/150 2000/2595 [D loss: 0.035 acc: 0.997][G loss: 2.718 adv: 1.726 recon: 0.083 id: 0.082 time: 13:43:23.266817 Epoch 110/150 [D loss: 0.049 acc: 0.964][G loss: 2.315 adv: 1.494 recon: 0.069 id: 0.068 time: 13:45:10.600919 Epoch 111/150 1000/2595 [D loss: 0.040 acc: 1.000][G loss: 2.936 adv: 2.120 recon: 0.068 id: 0.068 time: 13:48:10.853690 Epoch 111/150 2000/2595 [D loss: 0.028 acc: 0.996][G loss: 2.683 adv: 1.705 recon: 0.082 id: 0.081 time: 13:51:11.174334 Epoch 111/150 [D loss: 0.048 acc: 0.964][G loss: 2.307 adv: 1.480 recon: 0.069 id: 0.068 time: 13:52:58.427303 Epoch 112/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.859 adv: 2.008 recon: 0.070 id: 0.073 time: 13:56:00.368907 Epoch 112/150 2000/2595 [D loss: 0.070 acc: 0.886][G loss: 2.297 adv: 1.304 recon: 0.083 id: 0.082 time: 13:59:00.476445 Epoch 112/150 [D loss: 0.047 acc: 0.967][G loss: 2.331 adv: 1.504 recon: 0.069 id: 0.068 time: 14:00:47.724408 Epoch 113/150 1000/2595 [D loss: 0.038 acc: 0.978][G loss: 3.017 adv: 2.183 recon: 0.069 id: 0.071 time: 14:03:47.526642 Epoch 113/150 2000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.528 adv: 1.561 recon: 0.081 id: 0.081 time: 14:06:47.640412 Epoch 113/150 [D loss: 0.045 acc: 0.968][G loss: 2.349 adv: 1.528 recon: 0.069 id: 0.068 time: 14:08:34.577823 Epoch 114/150 1000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.563 adv: 1.785 recon: 0.065 id: 0.065 time: 14:11:35.741485 Epoch 114/150 2000/2595 [D loss: 0.038 acc: 1.000][G loss: 2.517 adv: 1.531 recon: 0.082 id: 0.084 time: 14:14:34.515705 Epoch 114/150 [D loss: 0.044 acc: 0.968][G loss: 2.343 adv: 1.521 recon: 0.069 id: 0.068 time: 14:16:21.119809 Epoch 115/150 1000/2595 [D loss: 0.011 acc: 1.000][G loss: 3.427 adv: 2.490 recon: 0.078 id: 0.078 time: 14:19:20.436836 Epoch 115/150 2000/2595 [D loss: 0.047 acc: 0.999][G loss: 2.652 adv: 1.679 recon: 0.081 id: 0.081 time: 14:22:19.606633 Epoch 115/150 [D loss: 0.046 acc: 0.968][G loss: 2.332 adv: 1.511 recon: 0.069 id: 0.068 time: 14:24:06.193996 Epoch 116/150 1000/2595 [D loss: 0.019 acc: 0.999][G loss: 2.913 adv: 2.102 recon: 0.067 id: 0.069 time: 14:27:05.448502 Epoch 116/150 2000/2595 [D loss: 0.021 acc: 0.998][G loss: 2.443 adv: 1.459 recon: 0.082 id: 0.080 time: 14:30:04.400091 Epoch 116/150 [D loss: 0.043 acc: 0.971][G loss: 2.362 adv: 1.542 recon: 0.069 id: 0.067 time: 14:31:51.205155 Epoch 117/150 1000/2595 [D loss: 0.018 acc: 1.000][G loss: 2.515 adv: 1.730 recon: 0.065 id: 0.066 time: 14:34:51.080407 Epoch 117/150 2000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.839 adv: 1.858 recon: 0.082 id: 0.081 time: 14:37:51.127148 Epoch 117/150 [D loss: 0.040 acc: 0.975][G loss: 2.369 adv: 1.547 recon: 0.069 id: 0.068 time: 14:39:39.554119 Epoch 118/150 1000/2595 [D loss: 0.034 acc: 1.000][G loss: 2.925 adv: 2.119 recon: 0.067 id: 0.068 time: 14:42:40.923369 Epoch 118/150 2000/2595 [D loss: 0.019 acc: 1.000][G loss: 2.883 adv: 1.890 recon: 0.083 id: 0.082 time: 14:45:41.664838 Epoch 118/150 [D loss: 0.040 acc: 0.975][G loss: 2.358 adv: 1.539 recon: 0.068 id: 0.068 time: 14:47:29.310989 Epoch 119/150 1000/2595 [D loss: 0.011 acc: 1.000][G loss: 2.601 adv: 1.817 recon: 0.065 id: 0.067 time: 14:50:32.682504 Epoch 119/150 2000/2595 [D loss: 0.069 acc: 0.897][G loss: 2.309 adv: 1.319 recon: 0.082 id: 0.084 time: 14:53:37.790991 Epoch 119/150 [D loss: 0.041 acc: 0.973][G loss: 2.351 adv: 1.532 recon: 0.068 id: 0.068 time: 14:55:28.440301 Epoch 120/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 2.225 adv: 1.429 recon: 0.066 id: 0.066 time: 14:58:29.951191 Epoch 120/150 2000/2595 [D loss: 0.037 acc: 0.995][G loss: 2.543 adv: 1.568 recon: 0.081 id: 0.080 time: 15:01:31.273915 Epoch 120/150 [D loss: 0.043 acc: 0.972][G loss: 2.354 adv: 1.538 recon: 0.068 id: 0.067 time: 15:03:18.562778 Epoch 121/150 1000/2595 [D loss: 0.025 acc: 1.000][G loss: 2.612 adv: 1.800 recon: 0.067 id: 0.070 time: 15:06:19.171855 Epoch 121/150 2000/2595 [D loss: 0.054 acc: 0.976][G loss: 2.573 adv: 1.618 recon: 0.079 id: 0.080 time: 15:09:20.241432 Epoch 121/150 [D loss: 0.043 acc: 0.970][G loss: 2.359 adv: 1.542 recon: 0.068 id: 0.067 time: 15:11:08.241102 Epoch 122/150 1000/2595 [D loss: 0.030 acc: 0.999][G loss: 2.982 adv: 2.160 recon: 0.068 id: 0.070 time: 15:14:09.545466 Epoch 122/150 2000/2595 [D loss: 0.104 acc: 0.957][G loss: 2.128 adv: 1.162 recon: 0.080 id: 0.081 time: 15:17:11.231897 Epoch 122/150 [D loss: 0.041 acc: 0.971][G loss: 2.389 adv: 1.576 recon: 0.068 id: 0.067 time: 15:18:58.961838 Epoch 123/150 1000/2595 [D loss: 0.027 acc: 1.000][G loss: 2.495 adv: 1.707 recon: 0.066 id: 0.066 time: 15:21:59.860038 Epoch 123/150 2000/2595 [D loss: 0.217 acc: 0.637][G loss: 1.853 adv: 0.869 recon: 0.082 id: 0.081 time: 15:25:00.473281 Epoch 123/150 [D loss: 0.042 acc: 0.970][G loss: 2.357 adv: 1.547 recon: 0.068 id: 0.067 time: 15:26:48.295832 Epoch 124/150 1000/2595 [D loss: 0.032 acc: 1.000][G loss: 3.210 adv: 2.384 recon: 0.069 id: 0.069 time: 15:29:49.002634 Epoch 124/150 2000/2595 [D loss: 0.190 acc: 0.733][G loss: 1.935 adv: 0.963 recon: 0.081 id: 0.081 time: 15:32:51.379679 Epoch 124/150 [D loss: 0.040 acc: 0.972][G loss: 2.393 adv: 1.584 recon: 0.067 id: 0.067 time: 15:34:38.033566 Epoch 125/150 1000/2595 [D loss: 0.039 acc: 1.000][G loss: 2.569 adv: 1.793 recon: 0.065 id: 0.065 time: 15:37:38.615272 Epoch 125/150 2000/2595 [D loss: 0.094 acc: 0.849][G loss: 2.787 adv: 1.802 recon: 0.083 id: 0.080 time: 15:40:39.174788 Epoch 125/150 [D loss: 0.041 acc: 0.970][G loss: 2.381 adv: 1.571 recon: 0.068 id: 0.067 time: 15:42:26.872832 Epoch 126/150 1000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.779 adv: 1.984 recon: 0.066 id: 0.066 time: 15:45:26.553145 Epoch 126/150 2000/2595 [D loss: 0.030 acc: 1.000][G loss: 3.305 adv: 2.346 recon: 0.080 id: 0.080 time: 15:48:28.641213 Epoch 126/150 [D loss: 0.041 acc: 0.973][G loss: 2.359 adv: 1.547 recon: 0.068 id: 0.067 time: 15:50:16.627698 Epoch 127/150 1000/2595 [D loss: 0.015 acc: 1.000][G loss: 2.565 adv: 1.785 recon: 0.065 id: 0.065 time: 15:53:20.586049 Epoch 127/150 2000/2595 [D loss: 0.013 acc: 1.000][G loss: 3.089 adv: 2.079 recon: 0.084 id: 0.084 time: 15:56:23.904216 Epoch 127/150 [D loss: 0.045 acc: 0.968][G loss: 2.318 adv: 1.511 recon: 0.067 id: 0.067 time: 15:58:13.006682 Epoch 128/150 1000/2595 [D loss: 0.007 acc: 1.000][G loss: 2.395 adv: 1.598 recon: 0.067 id: 0.066 time: 16:01:17.524226 Epoch 128/150 2000/2595 [D loss: 0.052 acc: 0.986][G loss: 2.731 adv: 1.760 recon: 0.081 id: 0.082 time: 16:04:21.721351 Epoch 128/150 [D loss: 0.047 acc: 0.965][G loss: 2.326 adv: 1.519 recon: 0.067 id: 0.067 time: 16:06:10.366813 Epoch 129/150 1000/2595 [D loss: 0.026 acc: 1.000][G loss: 2.273 adv: 1.511 recon: 0.063 id: 0.065 time: 16:09:13.706731 Epoch 129/150 2000/2595 [D loss: 0.020 acc: 1.000][G loss: 2.625 adv: 1.652 recon: 0.081 id: 0.081 time: 16:12:17.968288 Epoch 129/150 [D loss: 0.044 acc: 0.970][G loss: 2.350 adv: 1.541 recon: 0.068 id: 0.067 time: 16:14:07.880939 Epoch 130/150 1000/2595 [D loss: 0.009 acc: 1.000][G loss: 2.738 adv: 1.948 recon: 0.066 id: 0.067 time: 16:17:10.919384 Epoch 130/150 2000/2595 [D loss: 0.011 acc: 1.000][G loss: 2.471 adv: 1.497 recon: 0.081 id: 0.081 time: 16:20:16.030657 Epoch 130/150 [D loss: 0.041 acc: 0.974][G loss: 2.376 adv: 1.568 recon: 0.067 id: 0.067 time: 16:22:05.978040 Epoch 131/150 1000/2595 [D loss: 0.013 acc: 1.000][G loss: 2.576 adv: 1.768 recon: 0.068 id: 0.066 time: 16:25:09.239695 Epoch 131/150 2000/2595 [D loss: 0.041 acc: 0.998][G loss: 3.027 adv: 2.034 recon: 0.083 id: 0.082 time: 16:28:11.463026 Epoch 131/150 [D loss: 0.038 acc: 0.979][G loss: 2.389 adv: 1.566 recon: 0.069 id: 0.067 time: 16:30:00.223615 Epoch 132/150 1000/2595 [D loss: 0.038 acc: 0.992][G loss: 2.838 adv: 2.029 recon: 0.068 id: 0.065 time: 16:33:02.044194 Epoch 132/150 2000/2595 [D loss: 0.009 acc: 1.000][G loss: 3.082 adv: 2.091 recon: 0.083 id: 0.082 time: 16:36:03.957870 Epoch 132/150 [D loss: 0.036 acc: 0.982][G loss: 2.434 adv: 1.605 recon: 0.069 id: 0.068 time: 16:37:52.112475 Epoch 133/150 1000/2595 [D loss: 0.016 acc: 0.999][G loss: 2.351 adv: 1.534 recon: 0.069 id: 0.066 time: 16:40:53.890123 Epoch 133/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.454 adv: 1.477 recon: 0.081 id: 0.083 time: 16:43:55.673722 Epoch 133/150 [D loss: 0.041 acc: 0.976][G loss: 2.391 adv: 1.558 recon: 0.070 id: 0.068 time: 16:45:43.162424 Epoch 134/150 1000/2595 [D loss: 0.024 acc: 0.996][G loss: 2.854 adv: 2.030 recon: 0.069 id: 0.068 time: 16:48:46.809792 Epoch 134/150 2000/2595 [D loss: 0.033 acc: 0.990][G loss: 2.803 adv: 1.824 recon: 0.082 id: 0.081 time: 16:51:48.602172 Epoch 134/150 [D loss: 0.044 acc: 0.974][G loss: 2.318 adv: 1.489 recon: 0.069 id: 0.068 time: 16:53:37.494248 Epoch 135/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.116 adv: 1.296 recon: 0.068 id: 0.067 time: 16:56:41.444427 Epoch 135/150 2000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.257 adv: 2.264 recon: 0.083 id: 0.084 time: 16:59:46.701686 Epoch 135/150 [D loss: 0.045 acc: 0.972][G loss: 2.286 adv: 1.464 recon: 0.069 id: 0.068 time: 17:01:35.488995 Epoch 136/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.467 adv: 1.682 recon: 0.065 id: 0.066 time: 17:04:37.950055 Epoch 136/150 2000/2595 [D loss: 0.014 acc: 1.000][G loss: 3.020 adv: 2.013 recon: 0.084 id: 0.084 time: 17:07:42.264930 Epoch 136/150 [D loss: 0.041 acc: 0.978][G loss: 2.358 adv: 1.531 recon: 0.069 id: 0.068 time: 17:09:32.899995 Epoch 137/150 1000/2595 [D loss: 0.050 acc: 0.973][G loss: 2.018 adv: 1.221 recon: 0.067 id: 0.065 time: 17:12:38.550187 Epoch 137/150 2000/2595 [D loss: 0.043 acc: 0.972][G loss: 3.112 adv: 2.118 recon: 0.083 id: 0.083 time: 17:15:45.066226 Epoch 137/150 [D loss: 0.040 acc: 0.979][G loss: 2.368 adv: 1.539 recon: 0.069 id: 0.068 time: 17:17:35.863759 Epoch 138/150 1000/2595 [D loss: 0.038 acc: 0.998][G loss: 3.065 adv: 2.233 recon: 0.070 id: 0.066 time: 17:20:42.107439 Epoch 138/150 2000/2595 [D loss: 0.022 acc: 0.997][G loss: 2.877 adv: 1.865 recon: 0.084 id: 0.084 time: 17:23:48.141206 Epoch 138/150 [D loss: 0.039 acc: 0.981][G loss: 2.399 adv: 1.567 recon: 0.070 id: 0.069 time: 17:25:39.785241 Epoch 139/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 2.665 adv: 1.827 recon: 0.071 id: 0.066 time: 17:28:45.551898 Epoch 139/150 2000/2595 [D loss: 0.049 acc: 0.966][G loss: 2.146 adv: 1.158 recon: 0.083 id: 0.081 time: 17:31:52.579327 Epoch 139/150 [D loss: 0.038 acc: 0.983][G loss: 2.424 adv: 1.590 recon: 0.070 id: 0.069 time: 17:33:43.352833 Epoch 140/150 1000/2595 [D loss: 0.035 acc: 0.984][G loss: 2.569 adv: 1.741 recon: 0.069 id: 0.067 time: 17:36:50.064859 Epoch 140/150 2000/2595 [D loss: 0.044 acc: 0.967][G loss: 2.644 adv: 1.649 recon: 0.083 id: 0.082 time: 17:39:56.606298 Epoch 140/150 [D loss: 0.042 acc: 0.976][G loss: 2.386 adv: 1.558 recon: 0.069 id: 0.068 time: 17:41:47.840500 Epoch 141/150 1000/2595 [D loss: 0.014 acc: 1.000][G loss: 2.923 adv: 2.121 recon: 0.067 id: 0.065 time: 17:44:53.916967 Epoch 141/150 2000/2595 [D loss: 0.044 acc: 0.988][G loss: 2.934 adv: 1.955 recon: 0.082 id: 0.081 time: 17:48:00.755993 Epoch 141/150 [D loss: 0.041 acc: 0.976][G loss: 2.409 adv: 1.587 recon: 0.069 id: 0.068 time: 17:49:53.604293 Epoch 142/150 1000/2595 [D loss: 0.029 acc: 1.000][G loss: 3.268 adv: 2.454 recon: 0.068 id: 0.066 time: 17:53:00.693807 Epoch 142/150 2000/2595 [D loss: 0.023 acc: 0.988][G loss: 2.691 adv: 1.695 recon: 0.083 id: 0.083 time: 17:56:08.851478 Epoch 142/150 [D loss: 0.041 acc: 0.976][G loss: 2.360 adv: 1.537 recon: 0.069 id: 0.068 time: 17:58:00.132056 Epoch 143/150 1000/2595 [D loss: 0.016 acc: 1.000][G loss: 1.777 adv: 0.971 recon: 0.067 id: 0.067 time: 18:01:05.699185 Epoch 143/150 2000/2595 [D loss: 0.052 acc: 0.999][G loss: 2.707 adv: 1.737 recon: 0.081 id: 0.082 time: 18:04:13.739679 Epoch 143/150 [D loss: 0.046 acc: 0.971][G loss: 2.322 adv: 1.497 recon: 0.069 id: 0.068 time: 18:06:04.363830 Epoch 144/150 1000/2595 [D loss: 0.051 acc: 0.983][G loss: 2.455 adv: 1.649 recon: 0.067 id: 0.067 time: 18:09:11.145805 Epoch 144/150 2000/2595 [D loss: 0.029 acc: 1.000][G loss: 2.682 adv: 1.709 recon: 0.081 id: 0.082 time: 18:12:16.843750 Epoch 144/150 [D loss: 0.047 acc: 0.966][G loss: 2.303 adv: 1.483 recon: 0.068 id: 0.068 time: 18:14:07.306573 Epoch 145/150 1000/2595 [D loss: 0.022 acc: 1.000][G loss: 2.318 adv: 1.479 recon: 0.070 id: 0.068 time: 18:17:13.765528 Epoch 145/150 2000/2595 [D loss: 0.028 acc: 1.000][G loss: 2.153 adv: 1.161 recon: 0.082 id: 0.083 time: 18:20:20.189642 Epoch 145/150 [D loss: 0.041 acc: 0.976][G loss: 2.376 adv: 1.549 recon: 0.069 id: 0.068 time: 18:22:09.708146 Epoch 146/150 1000/2595 [D loss: 0.023 acc: 1.000][G loss: 1.822 adv: 1.032 recon: 0.066 id: 0.065 time: 18:25:14.974180 Epoch 146/150 2000/2595 [D loss: 0.047 acc: 0.998][G loss: 3.135 adv: 2.149 recon: 0.082 id: 0.081 time: 18:28:19.758202 Epoch 146/150 [D loss: 0.042 acc: 0.972][G loss: 2.371 adv: 1.548 recon: 0.069 id: 0.068 time: 18:30:09.739241 Epoch 147/150 1000/2595 [D loss: 0.332 acc: 0.672][G loss: 2.136 adv: 1.323 recon: 0.068 id: 0.067 time: 18:33:14.771759 Epoch 147/150 2000/2595 [D loss: 0.021 acc: 1.000][G loss: 2.929 adv: 1.949 recon: 0.082 id: 0.081 time: 18:36:18.983751 Epoch 147/150 [D loss: 0.043 acc: 0.970][G loss: 2.385 adv: 1.561 recon: 0.069 id: 0.068 time: 18:38:08.788309 Epoch 148/150 1000/2595 [D loss: 0.034 acc: 1.000][G loss: 2.292 adv: 1.511 recon: 0.065 id: 0.064 time: 18:41:14.026107 Epoch 148/150 2000/2595 [D loss: 0.010 acc: 1.000][G loss: 2.661 adv: 1.682 recon: 0.081 id: 0.082 time: 18:44:21.139943 Epoch 148/150 [D loss: 0.041 acc: 0.973][G loss: 2.390 adv: 1.570 recon: 0.068 id: 0.068 time: 18:46:12.242750 Epoch 149/150 1000/2595 [D loss: 0.017 acc: 1.000][G loss: 2.587 adv: 1.772 recon: 0.068 id: 0.067 time: 18:49:19.072639 Epoch 149/150 2000/2595 [D loss: 0.025 acc: 0.999][G loss: 2.601 adv: 1.602 recon: 0.083 id: 0.083 time: 18:52:25.563950 Epoch 149/150 [D loss: 0.041 acc: 0.973][G loss: 2.389 adv: 1.569 recon: 0.068 id: 0.068 time: 18:54:16.562985 Epoch 150/150 1000/2595 [D loss: 0.034 acc: 0.991][G loss: 2.080 adv: 1.238 recon: 0.071 id: 0.068 time: 18:57:22.047125 Epoch 150/150 2000/2595 [D loss: 0.016 acc: 1.000][G loss: 2.719 adv: 1.761 recon: 0.080 id: 0.081 time: 19:00:27.826595 Epoch 150/150 [D loss: 0.042 acc: 0.972][G loss: 2.398 adv: 1.579 recon: 0.068 id: 0.068 time: 19:02:18.047102
In [19]:
! ls {save_path}/weights
combined-weights_100.h5 d_A-weights_5.h5 g_AB-weights_3.h5 combined-weights_150.h5 d_A-weights.h5 g_AB-weights_50.h5 combined-weights_1.h5 d_B-weights_100.h5 g_AB-weights_5.h5 combined-weights_3.h5 d_B-weights_150.h5 g_AB-weights.h5 combined-weights_50.h5 d_B-weights_1.h5 g_BA-weights_100.h5 combined-weights_5.h5 d_B-weights_3.h5 g_BA-weights_150.h5 combined-weights.h5 d_B-weights_50.h5 g_BA-weights_1.h5 d_A-weights_100.h5 d_B-weights_5.h5 g_BA-weights_3.h5 d_A-weights_150.h5 d_B-weights.h5 g_BA-weights_50.h5 d_A-weights_1.h5 g_AB-weights_100.h5 g_BA-weights_5.h5 d_A-weights_3.h5 g_AB-weights_150.h5 g_BA-weights.h5 d_A-weights_50.h5 g_AB-weights_1.h5
In [20]:
# Display images
# 画像を表示する。
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
def showImages(imgs, rows=-1, cols=-1, w=2, h=2):
N = len(imgs)
if rows < 0: rows = 1
if cols < 0: cols = (N + rows -1) // rows
fig, ax = plt.subplots(rows, cols, figsize=(w*cols, h*rows))
idx = 0
for row in range(rows):
for col in range(cols) :
if rows == 1 and cols == 1:
axis = ax
elif rows == 1:
axis = ax[col]
elif cols == 1:
axis = ax[row]
else:
axis = ax[row][col]
if idx < N:
axis.imshow(imgs[idx])
axis.axis('off')
idx += 1
plt.show()
In [21]:
# Display generated and cycle images.
# 生成画像とサイクル画像を表示する。
test_pairs = test_pair_flow[:5]
test_imgsA = test_pairs[:,0]
test_imgsB = test_pairs[:,1]
imgsAB = gan.generate_image_from_A(test_imgsA)
imgsBA = gan.generate_image_from_B(test_imgsB)
print('A-->B-->A, ID')
showImages(M1P1_ZeroP1(imgsAB), 4)
print('B-->A-->B, ID')
showImages(M1P1_ZeroP1(imgsBA), 4)
A-->B-->A, ID
B-->A-->B, ID
In [22]:
# Display the graph of losses in training
%matplotlib inline
gan.showLoss()
loss AB
loss BA
In [23]:
! ls -lR {save_path}
/content/drive/MyDrive/ColabRun/CycleGAN_VidTIMIT01: total 128 -rw------- 1 root root 27155 Nov 30 02:00 params_100.pkl -rw------- 1 root root 40955 Nov 30 08:35 params_150.pkl -rw------- 1 root root 413 Nov 29 12:52 params_1.pkl -rw------- 1 root root 895 Nov 29 13:08 params_3.pkl -rw------- 1 root root 13355 Nov 29 19:32 params_50.pkl -rw------- 1 root root 1416 Nov 29 13:25 params_5.pkl -rw------- 1 root root 40955 Nov 30 08:35 params.pkl drwx------ 2 root root 4096 Nov 30 08:35 weights /content/drive/MyDrive/ColabRun/CycleGAN_VidTIMIT01/weights: total 246442 -rw------- 1 root root 17974272 Nov 30 02:00 combined-weights_100.h5 -rw------- 1 root root 17974272 Nov 30 08:35 combined-weights_150.h5 -rw------- 1 root root 17974272 Nov 29 12:52 combined-weights_1.h5 -rw------- 1 root root 17974272 Nov 29 13:08 combined-weights_3.h5 -rw------- 1 root root 17974272 Nov 29 19:32 combined-weights_50.h5 -rw------- 1 root root 17974272 Nov 29 13:25 combined-weights_5.h5 -rw------- 1 root root 17974272 Nov 30 08:35 combined-weights.h5 -rw------- 1 root root 2805136 Nov 30 02:00 d_A-weights_100.h5 -rw------- 1 root root 2805136 Nov 30 08:35 d_A-weights_150.h5 -rw------- 1 root root 2805136 Nov 29 12:52 d_A-weights_1.h5 -rw------- 1 root root 2805136 Nov 29 13:08 d_A-weights_3.h5 -rw------- 1 root root 2805136 Nov 29 19:32 d_A-weights_50.h5 -rw------- 1 root root 2805136 Nov 29 13:25 d_A-weights_5.h5 -rw------- 1 root root 2805136 Nov 30 08:35 d_A-weights.h5 -rw------- 1 root root 2805136 Nov 30 02:00 d_B-weights_100.h5 -rw------- 1 root root 2805136 Nov 30 08:35 d_B-weights_150.h5 -rw------- 1 root root 2805136 Nov 29 12:52 d_B-weights_1.h5 -rw------- 1 root root 2805136 Nov 29 13:08 d_B-weights_3.h5 -rw------- 1 root root 2805136 Nov 29 19:32 d_B-weights_50.h5 -rw------- 1 root root 2805136 Nov 29 13:25 d_B-weights_5.h5 -rw------- 1 root root 2805136 Nov 30 08:35 d_B-weights.h5 -rw------- 1 root root 6232880 Nov 30 02:00 g_AB-weights_100.h5 -rw------- 1 root root 6232880 Nov 30 08:35 g_AB-weights_150.h5 -rw------- 1 root root 6232880 Nov 29 12:52 g_AB-weights_1.h5 -rw------- 1 root root 6232880 Nov 29 13:08 g_AB-weights_3.h5 -rw------- 1 root root 6232880 Nov 29 19:32 g_AB-weights_50.h5 -rw------- 1 root root 6232880 Nov 29 13:25 g_AB-weights_5.h5 -rw------- 1 root root 6232880 Nov 30 08:35 g_AB-weights.h5 -rw------- 1 root root 6232880 Nov 30 02:00 g_BA-weights_100.h5 -rw------- 1 root root 6232880 Nov 30 08:35 g_BA-weights_150.h5 -rw------- 1 root root 6232880 Nov 29 12:52 g_BA-weights_1.h5 -rw------- 1 root root 6232880 Nov 29 13:08 g_BA-weights_3.h5 -rw------- 1 root root 6232880 Nov 29 19:32 g_BA-weights_50.h5 -rw------- 1 root root 6232880 Nov 29 13:25 g_BA-weights_5.h5 -rw------- 1 root root 6232880 Nov 30 08:35 g_BA-weights.h5
In [23]: