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WGAN-WC-train-2020_09_17_11_03_23.log
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WGAN-WC-train-2020_09_17_11_03_23.log
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[INFO] 2020-09-17 11:03:23 > Run name : WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:03:23 > {'config_path': './configs/CIFAR10/WGAN-WC.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': 82624, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-09-17 11:03:23 > {'model': {'architecture': 'resnet', 'conditional_strategy': 'no', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': False, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 100000}, 'loss_function': {'adv_loss': 'wasserstein', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': True, 'weight_clipping_bound': 0.01, 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}
[INFO] 2020-09-17 11:03:23 > Loading train datasets...
[INFO] 2020-09-17 11:03:23 > Train dataset size : 50000
[INFO] 2020-09-17 11:03:23 > Loading test datasets...
[INFO] 2020-09-17 11:03:24 > Eval dataset size : 10000
[INFO] 2020-09-17 11:03:24 > Building model...
[INFO] 2020-09-17 11:03:24 > Modules are located on models.resnet
[INFO] 2020-09-17 11:03:28 > Number of parameters: 4276739
[INFO] 2020-09-17 11:03:28 > Generator(
(linear0): Linear(in_features=128, out_features=4096, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(256, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-09-17 11:03:28 > Number of parameters: 1055879
[INFO] 2020-09-17 11:03:28 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(3, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=128, out_features=1, bias=True)
)
[INFO] 2020-09-17 11:03:31 > Start training....
[INFO] 2020-09-17 11:03:50 > Step: 100 Progress: 0.1% Elapsed: 0:00:18 temperature: no ada_p: No Discriminator_loss: -6.66128e-05 Generator_loss: 0.0281284
[INFO] 2020-09-17 11:04:08 > Step: 200 Progress: 0.2% Elapsed: 0:00:36 temperature: no ada_p: No Discriminator_loss: -9.99662e-05 Generator_loss: 0.0305214
[INFO] 2020-09-17 11:04:26 > Step: 300 Progress: 0.3% Elapsed: 0:00:54 temperature: no ada_p: No Discriminator_loss: -5.94003e-05 Generator_loss: 0.0381896
[INFO] 2020-09-17 11:04:44 > Step: 400 Progress: 0.4% Elapsed: 0:01:12 temperature: no ada_p: No Discriminator_loss: -2.65695e-05 Generator_loss: 0.058714
[INFO] 2020-09-17 11:05:02 > Step: 500 Progress: 0.5% Elapsed: 0:01:30 temperature: no ada_p: No Discriminator_loss: -3.43103e-05 Generator_loss: 0.0446379
[INFO] 2020-09-17 11:05:19 > Step: 600 Progress: 0.6% Elapsed: 0:01:48 temperature: no ada_p: No Discriminator_loss: -6.82632e-05 Generator_loss: 0.0453705
[INFO] 2020-09-17 11:05:38 > Step: 700 Progress: 0.7% Elapsed: 0:02:06 temperature: no ada_p: No Discriminator_loss: -0.000233971 Generator_loss: 0.022702
[INFO] 2020-09-17 11:05:56 > Step: 800 Progress: 0.8% Elapsed: 0:02:25 temperature: no ada_p: No Discriminator_loss: -0.00120623 Generator_loss: 0.0665288
[INFO] 2020-09-17 11:06:15 > Step: 900 Progress: 0.9% Elapsed: 0:02:43 temperature: no ada_p: No Discriminator_loss: -0.00160732 Generator_loss: 0.0934791
[INFO] 2020-09-17 11:06:34 > Step: 1000 Progress: 1.0% Elapsed: 0:03:02 temperature: no ada_p: No Discriminator_loss: -0.0194512 Generator_loss: 0.242256
[INFO] 2020-09-17 11:06:53 > Step: 1100 Progress: 1.1% Elapsed: 0:03:21 temperature: no ada_p: No Discriminator_loss: -0.595991 Generator_loss: 1.22855
[INFO] 2020-09-17 11:07:12 > Step: 1200 Progress: 1.2% Elapsed: 0:03:40 temperature: no ada_p: No Discriminator_loss: -0.41814 Generator_loss: -0.382407
[INFO] 2020-09-17 11:07:32 > Step: 1300 Progress: 1.3% Elapsed: 0:04:00 temperature: no ada_p: No Discriminator_loss: -0.405602 Generator_loss: 0.87852
[INFO] 2020-09-17 11:07:51 > Step: 1400 Progress: 1.4% Elapsed: 0:04:19 temperature: no ada_p: No Discriminator_loss: -0.0350748 Generator_loss: -0.304526
[INFO] 2020-09-17 11:08:10 > Step: 1500 Progress: 1.5% Elapsed: 0:04:39 temperature: no ada_p: No Discriminator_loss: -0.430556 Generator_loss: 1.27609
[INFO] 2020-09-17 11:08:30 > Step: 1600 Progress: 1.6% Elapsed: 0:04:59 temperature: no ada_p: No Discriminator_loss: -0.304506 Generator_loss: 1.13971
[INFO] 2020-09-17 11:08:50 > Step: 1700 Progress: 1.7% Elapsed: 0:05:18 temperature: no ada_p: No Discriminator_loss: -0.289314 Generator_loss: 0.856058
[INFO] 2020-09-17 11:09:09 > Step: 1800 Progress: 1.8% Elapsed: 0:05:38 temperature: no ada_p: No Discriminator_loss: -0.425291 Generator_loss: 2.28744
[INFO] 2020-09-17 11:09:29 > Step: 1900 Progress: 1.9% Elapsed: 0:05:57 temperature: no ada_p: No Discriminator_loss: -0.624739 Generator_loss: 1.95601
[INFO] 2020-09-17 11:09:48 > Step: 2000 Progress: 2.0% Elapsed: 0:06:17 temperature: no ada_p: No Discriminator_loss: -0.478193 Generator_loss: 1.49559
[INFO] 2020-09-17 11:09:48 > Start Evaluation (2000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:11:24 > F_8 score (Step: 2000, Using test images): 0.09742203773393221
[INFO] 2020-09-17 11:11:24 > F_1/8 score (Step: 2000, Using test images): 0.07026371479634409
[INFO] 2020-09-17 11:11:24 > FID score (Step: 2000, Using test moments): 233.7169005859384
[INFO] 2020-09-17 11:11:24 > Inception score (Step: 2000, 10000 generated images): 2.102292776107788
[INFO] 2020-09-17 11:11:24 > Best FID score (Step: 2000, Using test moments): 233.7169005859384
[INFO] 2020-09-17 11:11:24 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:11:43 > Step: 2100 Progress: 2.1% Elapsed: 0:08:12 temperature: no ada_p: No Discriminator_loss: -0.303898 Generator_loss: 1.1898
[INFO] 2020-09-17 11:12:03 > Step: 2200 Progress: 2.2% Elapsed: 0:08:31 temperature: no ada_p: No Discriminator_loss: -0.389556 Generator_loss: 1.45301
[INFO] 2020-09-17 11:12:22 > Step: 2300 Progress: 2.3% Elapsed: 0:08:50 temperature: no ada_p: No Discriminator_loss: -0.371655 Generator_loss: 0.868531
[INFO] 2020-09-17 11:12:42 > Step: 2400 Progress: 2.4% Elapsed: 0:09:10 temperature: no ada_p: No Discriminator_loss: -0.115149 Generator_loss: 0.658392
[INFO] 2020-09-17 11:13:01 > Step: 2500 Progress: 2.5% Elapsed: 0:09:30 temperature: no ada_p: No Discriminator_loss: -0.192585 Generator_loss: 1.70319
[INFO] 2020-09-17 11:13:20 > Step: 2600 Progress: 2.6% Elapsed: 0:09:49 temperature: no ada_p: No Discriminator_loss: -0.0613452 Generator_loss: 0.632483
[INFO] 2020-09-17 11:13:40 > Step: 2700 Progress: 2.7% Elapsed: 0:10:08 temperature: no ada_p: No Discriminator_loss: -0.174468 Generator_loss: 1.30255
[INFO] 2020-09-17 11:13:59 > Step: 2800 Progress: 2.8% Elapsed: 0:10:28 temperature: no ada_p: No Discriminator_loss: -0.0690894 Generator_loss: 0.120836
[INFO] 2020-09-17 11:14:19 > Step: 2900 Progress: 2.9% Elapsed: 0:10:47 temperature: no ada_p: No Discriminator_loss: -0.0137219 Generator_loss: 0.0786433
[INFO] 2020-09-17 11:14:39 > Step: 3000 Progress: 3.0% Elapsed: 0:11:07 temperature: no ada_p: No Discriminator_loss: -0.14426 Generator_loss: 0.403463
[INFO] 2020-09-17 11:14:58 > Step: 3100 Progress: 3.1% Elapsed: 0:11:26 temperature: no ada_p: No Discriminator_loss: -0.0235301 Generator_loss: 2.18878
[INFO] 2020-09-17 11:15:17 > Step: 3200 Progress: 3.2% Elapsed: 0:11:46 temperature: no ada_p: No Discriminator_loss: 0.00646206 Generator_loss: 0.51114
[INFO] 2020-09-17 11:15:37 > Step: 3300 Progress: 3.3% Elapsed: 0:12:05 temperature: no ada_p: No Discriminator_loss: -0.0277642 Generator_loss: 0.669583
[INFO] 2020-09-17 11:15:56 > Step: 3400 Progress: 3.4% Elapsed: 0:12:24 temperature: no ada_p: No Discriminator_loss: -0.0506898 Generator_loss: 1.45552
[INFO] 2020-09-17 11:16:16 > Step: 3500 Progress: 3.5% Elapsed: 0:12:44 temperature: no ada_p: No Discriminator_loss: -0.10574 Generator_loss: 1.04056
[INFO] 2020-09-17 11:16:35 > Step: 3600 Progress: 3.6% Elapsed: 0:13:04 temperature: no ada_p: No Discriminator_loss: 0.00995161 Generator_loss: 1.44383
[INFO] 2020-09-17 11:16:54 > Step: 3700 Progress: 3.7% Elapsed: 0:13:23 temperature: no ada_p: No Discriminator_loss: -0.0497382 Generator_loss: 1.94695
[INFO] 2020-09-17 11:17:14 > Step: 3800 Progress: 3.8% Elapsed: 0:13:42 temperature: no ada_p: No Discriminator_loss: -0.210079 Generator_loss: -0.00349884
[INFO] 2020-09-17 11:17:33 > Step: 3900 Progress: 3.9% Elapsed: 0:14:01 temperature: no ada_p: No Discriminator_loss: -0.000807121 Generator_loss: -0.867135
[INFO] 2020-09-17 11:17:53 > Step: 4000 Progress: 4.0% Elapsed: 0:14:21 temperature: no ada_p: No Discriminator_loss: 0.0134891 Generator_loss: 2.52831
[INFO] 2020-09-17 11:17:53 > Start Evaluation (4000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:19:31 > F_8 score (Step: 4000, Using test images): 0.19185632086209847
[INFO] 2020-09-17 11:19:31 > F_1/8 score (Step: 4000, Using test images): 0.17913885928091275
[INFO] 2020-09-17 11:19:31 > FID score (Step: 4000, Using test moments): 176.01745396115854
[INFO] 2020-09-17 11:19:31 > Inception score (Step: 4000, 10000 generated images): 2.5199999809265137
[INFO] 2020-09-17 11:19:31 > Best FID score (Step: 4000, Using test moments): 176.01745396115854
[INFO] 2020-09-17 11:19:31 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:19:50 > Step: 4100 Progress: 4.1% Elapsed: 0:16:18 temperature: no ada_p: No Discriminator_loss: 0.0095004 Generator_loss: -0.318951
[INFO] 2020-09-17 11:20:09 > Step: 4200 Progress: 4.2% Elapsed: 0:16:37 temperature: no ada_p: No Discriminator_loss: -0.0226784 Generator_loss: -1.56711
[INFO] 2020-09-17 11:20:28 > Step: 4300 Progress: 4.3% Elapsed: 0:16:57 temperature: no ada_p: No Discriminator_loss: -0.0422454 Generator_loss: -0.562956
[INFO] 2020-09-17 11:20:48 > Step: 4400 Progress: 4.4% Elapsed: 0:17:16 temperature: no ada_p: No Discriminator_loss: -0.0133491 Generator_loss: -0.21998
[INFO] 2020-09-17 11:21:07 > Step: 4500 Progress: 4.5% Elapsed: 0:17:36 temperature: no ada_p: No Discriminator_loss: -0.00142019 Generator_loss: -0.766281
[INFO] 2020-09-17 11:21:27 > Step: 4600 Progress: 4.6% Elapsed: 0:17:55 temperature: no ada_p: No Discriminator_loss: 0.00084704 Generator_loss: 1.33752
[INFO] 2020-09-17 11:21:47 > Step: 4700 Progress: 4.7% Elapsed: 0:18:15 temperature: no ada_p: No Discriminator_loss: -0.00348832 Generator_loss: 1.58461
[INFO] 2020-09-17 11:22:06 > Step: 4800 Progress: 4.8% Elapsed: 0:18:34 temperature: no ada_p: No Discriminator_loss: -0.000567183 Generator_loss: 0.358121
[INFO] 2020-09-17 11:22:26 > Step: 4900 Progress: 4.9% Elapsed: 0:18:54 temperature: no ada_p: No Discriminator_loss: -0.0162457 Generator_loss: 0.116351
[INFO] 2020-09-17 11:22:45 > Step: 5000 Progress: 5.0% Elapsed: 0:19:14 temperature: no ada_p: No Discriminator_loss: -0.00223021 Generator_loss: -0.158343
[INFO] 2020-09-17 11:23:04 > Step: 5100 Progress: 5.1% Elapsed: 0:19:33 temperature: no ada_p: No Discriminator_loss: 0.000623348 Generator_loss: -0.507145
[INFO] 2020-09-17 11:23:24 > Step: 5200 Progress: 5.2% Elapsed: 0:19:52 temperature: no ada_p: No Discriminator_loss: -0.0122135 Generator_loss: -0.426869
[INFO] 2020-09-17 11:23:43 > Step: 5300 Progress: 5.3% Elapsed: 0:20:11 temperature: no ada_p: No Discriminator_loss: -0.0180678 Generator_loss: -0.574803
[INFO] 2020-09-17 11:24:03 > Step: 5400 Progress: 5.4% Elapsed: 0:20:31 temperature: no ada_p: No Discriminator_loss: -0.036466 Generator_loss: -1.48225
[INFO] 2020-09-17 11:24:22 > Step: 5500 Progress: 5.5% Elapsed: 0:20:51 temperature: no ada_p: No Discriminator_loss: -0.00348531 Generator_loss: -0.350745
[INFO] 2020-09-17 11:24:41 > Step: 5600 Progress: 5.6% Elapsed: 0:21:10 temperature: no ada_p: No Discriminator_loss: 0.00121293 Generator_loss: 0.735087
[INFO] 2020-09-17 11:25:01 > Step: 5700 Progress: 5.7% Elapsed: 0:21:29 temperature: no ada_p: No Discriminator_loss: -0.00102973 Generator_loss: 1.60697
[INFO] 2020-09-17 11:25:21 > Step: 5800 Progress: 5.8% Elapsed: 0:21:49 temperature: no ada_p: No Discriminator_loss: 0.00365854 Generator_loss: 1.60106
[INFO] 2020-09-17 11:25:40 > Step: 5900 Progress: 5.9% Elapsed: 0:22:08 temperature: no ada_p: No Discriminator_loss: -0.00164404 Generator_loss: 1.66087
[INFO] 2020-09-17 11:25:59 > Step: 6000 Progress: 6.0% Elapsed: 0:22:28 temperature: no ada_p: No Discriminator_loss: -0.00258963 Generator_loss: 1.60653
[INFO] 2020-09-17 11:25:59 > Start Evaluation (6000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:27:38 > F_8 score (Step: 6000, Using test images): 0.15545539632517144
[INFO] 2020-09-17 11:27:38 > F_1/8 score (Step: 6000, Using test images): 0.16888319068513472
[INFO] 2020-09-17 11:27:38 > FID score (Step: 6000, Using test moments): 166.95530994669062
[INFO] 2020-09-17 11:27:38 > Inception score (Step: 6000, 10000 generated images): 2.4039204120635986
[INFO] 2020-09-17 11:27:38 > Best FID score (Step: 6000, Using test moments): 166.95530994669062
[INFO] 2020-09-17 11:27:39 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:27:58 > Step: 6100 Progress: 6.1% Elapsed: 0:24:26 temperature: no ada_p: No Discriminator_loss: -0.0044804 Generator_loss: 1.74913
[INFO] 2020-09-17 11:28:16 > Step: 6200 Progress: 6.2% Elapsed: 0:24:45 temperature: no ada_p: No Discriminator_loss: 0.00100319 Generator_loss: 0.401739
[INFO] 2020-09-17 11:28:36 > Step: 6300 Progress: 6.3% Elapsed: 0:25:04 temperature: no ada_p: No Discriminator_loss: 0.000739973 Generator_loss: -0.597915
[INFO] 2020-09-17 11:28:55 > Step: 6400 Progress: 6.4% Elapsed: 0:25:23 temperature: no ada_p: No Discriminator_loss: -0.00667603 Generator_loss: 1.51127
[INFO] 2020-09-17 11:29:15 > Step: 6500 Progress: 6.5% Elapsed: 0:25:43 temperature: no ada_p: No Discriminator_loss: 0.00014896 Generator_loss: 0.770809
[INFO] 2020-09-17 11:29:34 > Step: 6600 Progress: 6.6% Elapsed: 0:26:03 temperature: no ada_p: No Discriminator_loss: -6.59656e-06 Generator_loss: 0.647834
[INFO] 2020-09-17 11:29:53 > Step: 6700 Progress: 6.7% Elapsed: 0:26:22 temperature: no ada_p: No Discriminator_loss: -0.00250176 Generator_loss: 1.07091
[INFO] 2020-09-17 11:30:13 > Step: 6800 Progress: 6.8% Elapsed: 0:26:41 temperature: no ada_p: No Discriminator_loss: -0.0203581 Generator_loss: 1.28414
[INFO] 2020-09-17 11:30:33 > Step: 6900 Progress: 6.9% Elapsed: 0:27:01 temperature: no ada_p: No Discriminator_loss: 0.00237608 Generator_loss: 1.20334
[INFO] 2020-09-17 11:30:52 > Step: 7000 Progress: 7.0% Elapsed: 0:27:21 temperature: no ada_p: No Discriminator_loss: -0.00118713 Generator_loss: 1.33876
[INFO] 2020-09-17 11:31:12 > Step: 7100 Progress: 7.1% Elapsed: 0:27:40 temperature: no ada_p: No Discriminator_loss: -0.0063219 Generator_loss: 1.35864
[INFO] 2020-09-17 11:31:32 > Step: 7200 Progress: 7.2% Elapsed: 0:28:00 temperature: no ada_p: No Discriminator_loss: -0.0286677 Generator_loss: 0.856779
[INFO] 2020-09-17 11:31:51 > Step: 7300 Progress: 7.3% Elapsed: 0:28:19 temperature: no ada_p: No Discriminator_loss: -0.000527169 Generator_loss: 0.586704
[INFO] 2020-09-17 11:32:10 > Step: 7400 Progress: 7.4% Elapsed: 0:28:38 temperature: no ada_p: No Discriminator_loss: -0.015197 Generator_loss: 0.957355
[INFO] 2020-09-17 11:32:30 > Step: 7500 Progress: 7.5% Elapsed: 0:28:58 temperature: no ada_p: No Discriminator_loss: -0.000304895 Generator_loss: -0.927066
[INFO] 2020-09-17 11:32:49 > Step: 7600 Progress: 7.6% Elapsed: 0:29:17 temperature: no ada_p: No Discriminator_loss: -0.00129194 Generator_loss: -0.891993
[INFO] 2020-09-17 11:33:08 > Step: 7700 Progress: 7.7% Elapsed: 0:29:37 temperature: no ada_p: No Discriminator_loss: 0.00858316 Generator_loss: -0.0203297
[INFO] 2020-09-17 11:33:27 > Step: 7800 Progress: 7.8% Elapsed: 0:29:56 temperature: no ada_p: No Discriminator_loss: 0.000226074 Generator_loss: 0.277485
[INFO] 2020-09-17 11:33:47 > Step: 7900 Progress: 7.9% Elapsed: 0:30:15 temperature: no ada_p: No Discriminator_loss: 0.000454254 Generator_loss: -0.576013
[INFO] 2020-09-17 11:34:07 > Step: 8000 Progress: 8.0% Elapsed: 0:30:35 temperature: no ada_p: No Discriminator_loss: -1.34014e-05 Generator_loss: 0.146763
[INFO] 2020-09-17 11:34:07 > Start Evaluation (8000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:35:41 > F_8 score (Step: 8000, Using test images): 0.1351690412056102
[INFO] 2020-09-17 11:35:41 > F_1/8 score (Step: 8000, Using test images): 0.17255073238873428
[INFO] 2020-09-17 11:35:41 > FID score (Step: 8000, Using test moments): 179.11126214268887
[INFO] 2020-09-17 11:35:41 > Inception score (Step: 8000, 10000 generated images): 2.353062868118286
[INFO] 2020-09-17 11:35:41 > Best FID score (Step: 6000, Using test moments): 166.95530994669062
[INFO] 2020-09-17 11:35:41 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:36:00 > Step: 8100 Progress: 8.1% Elapsed: 0:32:28 temperature: no ada_p: No Discriminator_loss: -0.000164188 Generator_loss: 0.288844
[INFO] 2020-09-17 11:36:19 > Step: 8200 Progress: 8.2% Elapsed: 0:32:47 temperature: no ada_p: No Discriminator_loss: -8.54959e-05 Generator_loss: 0.418242
[INFO] 2020-09-17 11:36:39 > Step: 8300 Progress: 8.3% Elapsed: 0:33:07 temperature: no ada_p: No Discriminator_loss: -0.0053235 Generator_loss: 0.436515
[INFO] 2020-09-17 11:36:58 > Step: 8400 Progress: 8.4% Elapsed: 0:33:26 temperature: no ada_p: No Discriminator_loss: -0.00636268 Generator_loss: 0.445953
[INFO] 2020-09-17 11:37:17 > Step: 8500 Progress: 8.5% Elapsed: 0:33:46 temperature: no ada_p: No Discriminator_loss: -0.00113749 Generator_loss: 0.118472
[INFO] 2020-09-17 11:37:37 > Step: 8600 Progress: 8.6% Elapsed: 0:34:05 temperature: no ada_p: No Discriminator_loss: -0.000541016 Generator_loss: 0.177869
[INFO] 2020-09-17 11:37:56 > Step: 8700 Progress: 8.7% Elapsed: 0:34:24 temperature: no ada_p: No Discriminator_loss: 0.000425561 Generator_loss: 0.285469
[INFO] 2020-09-17 11:38:15 > Step: 8800 Progress: 8.8% Elapsed: 0:34:44 temperature: no ada_p: No Discriminator_loss: -0.00102384 Generator_loss: 0.17965
[INFO] 2020-09-17 11:38:34 > Step: 8900 Progress: 8.9% Elapsed: 0:35:03 temperature: no ada_p: No Discriminator_loss: 0.000337997 Generator_loss: 0.270018
[INFO] 2020-09-17 11:38:54 > Step: 9000 Progress: 9.0% Elapsed: 0:35:22 temperature: no ada_p: No Discriminator_loss: -0.000190042 Generator_loss: 0.488503
[INFO] 2020-09-17 11:39:14 > Step: 9100 Progress: 9.1% Elapsed: 0:35:42 temperature: no ada_p: No Discriminator_loss: -0.000313986 Generator_loss: 0.509484
[INFO] 2020-09-17 11:39:32 > Step: 9200 Progress: 9.2% Elapsed: 0:36:01 temperature: no ada_p: No Discriminator_loss: -0.00181808 Generator_loss: 0.568262
[INFO] 2020-09-17 11:39:52 > Step: 9300 Progress: 9.3% Elapsed: 0:36:20 temperature: no ada_p: No Discriminator_loss: -0.0073606 Generator_loss: 0.673722
[INFO] 2020-09-17 11:40:12 > Step: 9400 Progress: 9.4% Elapsed: 0:36:40 temperature: no ada_p: No Discriminator_loss: -0.00650255 Generator_loss: 0.619802
[INFO] 2020-09-17 11:40:30 > Step: 9500 Progress: 9.5% Elapsed: 0:36:59 temperature: no ada_p: No Discriminator_loss: -0.00139954 Generator_loss: 0.749939
[INFO] 2020-09-17 11:40:50 > Step: 9600 Progress: 9.6% Elapsed: 0:37:18 temperature: no ada_p: No Discriminator_loss: -0.000566039 Generator_loss: 0.840197
[INFO] 2020-09-17 11:41:10 > Step: 9700 Progress: 9.7% Elapsed: 0:37:38 temperature: no ada_p: No Discriminator_loss: -0.000279344 Generator_loss: 0.734068
[INFO] 2020-09-17 11:41:29 > Step: 9800 Progress: 9.8% Elapsed: 0:37:57 temperature: no ada_p: No Discriminator_loss: 0.000113154 Generator_loss: 0.826834
[INFO] 2020-09-17 11:41:48 > Step: 9900 Progress: 9.9% Elapsed: 0:38:16 temperature: no ada_p: No Discriminator_loss: -5.59911e-06 Generator_loss: 0.83902
[INFO] 2020-09-17 11:42:08 > Step: 10000 Progress: 10.0% Elapsed: 0:38:36 temperature: no ada_p: No Discriminator_loss: -0.0010805 Generator_loss: 0.835788
[INFO] 2020-09-17 11:42:08 > Start Evaluation (10000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:43:48 > F_8 score (Step: 10000, Using test images): 0.16237534354448221
[INFO] 2020-09-17 11:43:48 > F_1/8 score (Step: 10000, Using test images): 0.17133010276020175
[INFO] 2020-09-17 11:43:48 > FID score (Step: 10000, Using test moments): 190.67749401773347
[INFO] 2020-09-17 11:43:48 > Inception score (Step: 10000, 10000 generated images): 2.1971514225006104
[INFO] 2020-09-17 11:43:48 > Best FID score (Step: 6000, Using test moments): 166.95530994669062
[INFO] 2020-09-17 11:43:48 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:44:06 > Step: 10100 Progress: 10.1% Elapsed: 0:40:34 temperature: no ada_p: No Discriminator_loss: -0.000398095 Generator_loss: 0.868219
[INFO] 2020-09-17 11:44:25 > Step: 10200 Progress: 10.2% Elapsed: 0:40:53 temperature: no ada_p: No Discriminator_loss: -0.000898006 Generator_loss: 0.868248
[INFO] 2020-09-17 11:44:44 > Step: 10300 Progress: 10.3% Elapsed: 0:41:12 temperature: no ada_p: No Discriminator_loss: -0.000539966 Generator_loss: 0.8385
[INFO] 2020-09-17 11:45:04 > Step: 10400 Progress: 10.4% Elapsed: 0:41:32 temperature: no ada_p: No Discriminator_loss: -0.00151611 Generator_loss: 0.802524
[INFO] 2020-09-17 11:45:23 > Step: 10500 Progress: 10.5% Elapsed: 0:41:52 temperature: no ada_p: No Discriminator_loss: -0.000229113 Generator_loss: 0.794667
[INFO] 2020-09-17 11:45:42 > Step: 10600 Progress: 10.6% Elapsed: 0:42:11 temperature: no ada_p: No Discriminator_loss: 9.94653e-05 Generator_loss: 0.800006
[INFO] 2020-09-17 11:46:02 > Step: 10700 Progress: 10.7% Elapsed: 0:42:31 temperature: no ada_p: No Discriminator_loss: -0.00154186 Generator_loss: 0.754458
[INFO] 2020-09-17 11:46:22 > Step: 10800 Progress: 10.8% Elapsed: 0:42:50 temperature: no ada_p: No Discriminator_loss: 0.000439274 Generator_loss: 0.798472
[INFO] 2020-09-17 11:46:41 > Step: 10900 Progress: 10.9% Elapsed: 0:43:09 temperature: no ada_p: No Discriminator_loss: -0.000279254 Generator_loss: 0.81249
[INFO] 2020-09-17 11:47:01 > Step: 11000 Progress: 11.0% Elapsed: 0:43:29 temperature: no ada_p: No Discriminator_loss: -0.000975685 Generator_loss: 0.969438
[INFO] 2020-09-17 11:47:20 > Step: 11100 Progress: 11.1% Elapsed: 0:43:48 temperature: no ada_p: No Discriminator_loss: -0.000574104 Generator_loss: 0.855021
[INFO] 2020-09-17 11:47:39 > Step: 11200 Progress: 11.2% Elapsed: 0:44:08 temperature: no ada_p: No Discriminator_loss: -0.000612106 Generator_loss: 0.920781
[INFO] 2020-09-17 11:47:59 > Step: 11300 Progress: 11.3% Elapsed: 0:44:27 temperature: no ada_p: No Discriminator_loss: -0.00095472 Generator_loss: 0.969817
[INFO] 2020-09-17 11:48:18 > Step: 11400 Progress: 11.4% Elapsed: 0:44:46 temperature: no ada_p: No Discriminator_loss: -0.000348859 Generator_loss: 0.9831
[INFO] 2020-09-17 11:48:37 > Step: 11500 Progress: 11.5% Elapsed: 0:45:06 temperature: no ada_p: No Discriminator_loss: -0.000732076 Generator_loss: 0.970522
[INFO] 2020-09-17 11:48:57 > Step: 11600 Progress: 11.6% Elapsed: 0:45:25 temperature: no ada_p: No Discriminator_loss: -0.00033405 Generator_loss: 0.958021
[INFO] 2020-09-17 11:49:16 > Step: 11700 Progress: 11.7% Elapsed: 0:45:44 temperature: no ada_p: No Discriminator_loss: -0.00026017 Generator_loss: 0.939535
[INFO] 2020-09-17 11:49:36 > Step: 11800 Progress: 11.8% Elapsed: 0:46:04 temperature: no ada_p: No Discriminator_loss: -0.000529603 Generator_loss: 0.944734
[INFO] 2020-09-17 11:49:55 > Step: 11900 Progress: 11.9% Elapsed: 0:46:24 temperature: no ada_p: No Discriminator_loss: -3.01916e-05 Generator_loss: 0.848869
[INFO] 2020-09-17 11:50:14 > Step: 12000 Progress: 12.0% Elapsed: 0:46:43 temperature: no ada_p: No Discriminator_loss: 7.07489e-05 Generator_loss: 0.907259
[INFO] 2020-09-17 11:50:14 > Start Evaluation (12000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:51:56 > F_8 score (Step: 12000, Using test images): 0.17663263756151085
[INFO] 2020-09-17 11:51:56 > F_1/8 score (Step: 12000, Using test images): 0.17990203352097717
[INFO] 2020-09-17 11:51:56 > FID score (Step: 12000, Using test moments): 161.1471955851241
[INFO] 2020-09-17 11:51:56 > Inception score (Step: 12000, 10000 generated images): 2.650132179260254
[INFO] 2020-09-17 11:51:56 > Best FID score (Step: 12000, Using test moments): 161.1471955851241
[INFO] 2020-09-17 11:51:56 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 11:52:14 > Step: 12100 Progress: 12.1% Elapsed: 0:48:43 temperature: no ada_p: No Discriminator_loss: -0.000107634 Generator_loss: 0.910224
[INFO] 2020-09-17 11:52:34 > Step: 12200 Progress: 12.2% Elapsed: 0:49:02 temperature: no ada_p: No Discriminator_loss: 1.18064e-05 Generator_loss: 0.869603
[INFO] 2020-09-17 11:52:53 > Step: 12300 Progress: 12.3% Elapsed: 0:49:21 temperature: no ada_p: No Discriminator_loss: -4.54076e-05 Generator_loss: 0.897621
[INFO] 2020-09-17 11:53:13 > Step: 12400 Progress: 12.4% Elapsed: 0:49:41 temperature: no ada_p: No Discriminator_loss: 1.34278e-05 Generator_loss: 0.812497
[INFO] 2020-09-17 11:53:32 > Step: 12500 Progress: 12.5% Elapsed: 0:50:01 temperature: no ada_p: No Discriminator_loss: 2.34321e-06 Generator_loss: 0.724749
[INFO] 2020-09-17 11:53:51 > Step: 12600 Progress: 12.6% Elapsed: 0:50:20 temperature: no ada_p: No Discriminator_loss: -8.24872e-06 Generator_loss: 0.884956
[INFO] 2020-09-17 11:54:11 > Step: 12700 Progress: 12.7% Elapsed: 0:50:39 temperature: no ada_p: No Discriminator_loss: 2.71481e-06 Generator_loss: 0.708568
[INFO] 2020-09-17 11:54:30 > Step: 12800 Progress: 12.8% Elapsed: 0:50:59 temperature: no ada_p: No Discriminator_loss: -4.74229e-06 Generator_loss: 0.875202
[INFO] 2020-09-17 11:54:50 > Step: 12900 Progress: 12.9% Elapsed: 0:51:18 temperature: no ada_p: No Discriminator_loss: -0.00100755 Generator_loss: 0.928497
[INFO] 2020-09-17 11:55:09 > Step: 13000 Progress: 13.0% Elapsed: 0:51:38 temperature: no ada_p: No Discriminator_loss: -1.57701e-05 Generator_loss: 0.925286
[INFO] 2020-09-17 11:55:28 > Step: 13100 Progress: 13.1% Elapsed: 0:51:57 temperature: no ada_p: No Discriminator_loss: -5.93681e-05 Generator_loss: 0.919309
[INFO] 2020-09-17 11:55:48 > Step: 13200 Progress: 13.2% Elapsed: 0:52:16 temperature: no ada_p: No Discriminator_loss: -3.53903e-08 Generator_loss: 0.731726
[INFO] 2020-09-17 11:56:08 > Step: 13300 Progress: 13.3% Elapsed: 0:52:36 temperature: no ada_p: No Discriminator_loss: -3.37968e-05 Generator_loss: 0.947311
[INFO] 2020-09-17 11:56:26 > Step: 13400 Progress: 13.4% Elapsed: 0:52:55 temperature: no ada_p: No Discriminator_loss: 8.6097e-05 Generator_loss: 0.943874
[INFO] 2020-09-17 11:56:46 > Step: 13500 Progress: 13.5% Elapsed: 0:53:14 temperature: no ada_p: No Discriminator_loss: 8.52533e-06 Generator_loss: 0.743397
[INFO] 2020-09-17 11:57:06 > Step: 13600 Progress: 13.6% Elapsed: 0:53:34 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: 0.647687
[INFO] 2020-09-17 11:57:25 > Step: 13700 Progress: 13.7% Elapsed: 0:53:53 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: 0.647807
[INFO] 2020-09-17 11:57:44 > Step: 13800 Progress: 13.8% Elapsed: 0:54:12 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: 0.647828
[INFO] 2020-09-17 11:58:03 > Step: 13900 Progress: 13.9% Elapsed: 0:54:31 temperature: no ada_p: No Discriminator_loss: -9.31323e-09 Generator_loss: 0.647817
[INFO] 2020-09-17 11:58:23 > Step: 14000 Progress: 14.0% Elapsed: 0:54:51 temperature: no ada_p: No Discriminator_loss: -1.21072e-08 Generator_loss: 0.648713
[INFO] 2020-09-17 11:58:23 > Start Evaluation (14000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:00:02 > F_8 score (Step: 14000, Using test images): 0.1834231357037033
[INFO] 2020-09-17 12:00:02 > F_1/8 score (Step: 14000, Using test images): 0.19573093202169128
[INFO] 2020-09-17 12:00:02 > FID score (Step: 14000, Using test moments): 161.14379901091996
[INFO] 2020-09-17 12:00:02 > Inception score (Step: 14000, 10000 generated images): 2.5551633834838867
[INFO] 2020-09-17 12:00:02 > Best FID score (Step: 14000, Using test moments): 161.14379901091996
[INFO] 2020-09-17 12:00:02 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:00:20 > Step: 14100 Progress: 14.1% Elapsed: 0:56:49 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: 0.648832
[INFO] 2020-09-17 12:00:39 > Step: 14200 Progress: 14.2% Elapsed: 0:57:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.648587
[INFO] 2020-09-17 12:00:59 > Step: 14300 Progress: 14.3% Elapsed: 0:57:27 temperature: no ada_p: No Discriminator_loss: -1.21072e-08 Generator_loss: 0.647571
[INFO] 2020-09-17 12:01:18 > Step: 14400 Progress: 14.4% Elapsed: 0:57:47 temperature: no ada_p: No Discriminator_loss: -1.30385e-08 Generator_loss: 0.646185
[INFO] 2020-09-17 12:01:38 > Step: 14500 Progress: 14.5% Elapsed: 0:58:06 temperature: no ada_p: No Discriminator_loss: 7.45058e-09 Generator_loss: 0.644217
[INFO] 2020-09-17 12:01:57 > Step: 14600 Progress: 14.6% Elapsed: 0:58:26 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: 0.64286
[INFO] 2020-09-17 12:02:17 > Step: 14700 Progress: 14.7% Elapsed: 0:58:45 temperature: no ada_p: No Discriminator_loss: -1.11759e-08 Generator_loss: 0.642535
[INFO] 2020-09-17 12:02:36 > Step: 14800 Progress: 14.8% Elapsed: 0:59:04 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: 0.641896
[INFO] 2020-09-17 12:02:56 > Step: 14900 Progress: 14.9% Elapsed: 0:59:24 temperature: no ada_p: No Discriminator_loss: 1.11759e-08 Generator_loss: 0.640941
[INFO] 2020-09-17 12:03:15 > Step: 15000 Progress: 15.0% Elapsed: 0:59:44 temperature: no ada_p: No Discriminator_loss: -7.45058e-09 Generator_loss: 0.642106
[INFO] 2020-09-17 12:03:34 > Step: 15100 Progress: 15.1% Elapsed: 1:00:03 temperature: no ada_p: No Discriminator_loss: -6.51926e-09 Generator_loss: 0.633029
[INFO] 2020-09-17 12:03:54 > Step: 15200 Progress: 15.2% Elapsed: 1:00:22 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: 0.644387
[INFO] 2020-09-17 12:04:13 > Step: 15300 Progress: 15.3% Elapsed: 1:00:41 temperature: no ada_p: No Discriminator_loss: -7.45058e-09 Generator_loss: 0.637486
[INFO] 2020-09-17 12:04:33 > Step: 15400 Progress: 15.4% Elapsed: 1:01:01 temperature: no ada_p: No Discriminator_loss: 4.65661e-09 Generator_loss: 0.641919
[INFO] 2020-09-17 12:04:52 > Step: 15500 Progress: 15.5% Elapsed: 1:01:21 temperature: no ada_p: No Discriminator_loss: -1.30385e-08 Generator_loss: 0.636161
[INFO] 2020-09-17 12:05:11 > Step: 15600 Progress: 15.6% Elapsed: 1:01:40 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.632905
[INFO] 2020-09-17 12:05:31 > Step: 15700 Progress: 15.7% Elapsed: 1:01:59 temperature: no ada_p: No Discriminator_loss: -1.02445e-08 Generator_loss: 0.633488
[INFO] 2020-09-17 12:05:51 > Step: 15800 Progress: 15.8% Elapsed: 1:02:19 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.5869
[INFO] 2020-09-17 12:06:10 > Step: 15900 Progress: 15.9% Elapsed: 1:02:38 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.580436
[INFO] 2020-09-17 12:06:29 > Step: 16000 Progress: 16.0% Elapsed: 1:02:57 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.574567
[INFO] 2020-09-17 12:06:29 > Start Evaluation (16000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:08:04 > F_8 score (Step: 16000, Using test images): 0.18591503156763645
[INFO] 2020-09-17 12:08:04 > F_1/8 score (Step: 16000, Using test images): 0.19241651673342583
[INFO] 2020-09-17 12:08:04 > FID score (Step: 16000, Using test moments): 161.79998683974958
[INFO] 2020-09-17 12:08:04 > Inception score (Step: 16000, 10000 generated images): 2.5840442180633545
[INFO] 2020-09-17 12:08:04 > Best FID score (Step: 14000, Using test moments): 161.14379901091996
[INFO] 2020-09-17 12:08:05 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:08:23 > Step: 16100 Progress: 16.1% Elapsed: 1:04:52 temperature: no ada_p: No Discriminator_loss: 1.58325e-08 Generator_loss: 0.563912
[INFO] 2020-09-17 12:08:42 > Step: 16200 Progress: 16.2% Elapsed: 1:05:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.573589
[INFO] 2020-09-17 12:09:02 > Step: 16300 Progress: 16.3% Elapsed: 1:05:30 temperature: no ada_p: No Discriminator_loss: 6.51926e-09 Generator_loss: 0.557466
[INFO] 2020-09-17 12:09:21 > Step: 16400 Progress: 16.4% Elapsed: 1:05:49 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: 0.597712
[INFO] 2020-09-17 12:09:40 > Step: 16500 Progress: 16.5% Elapsed: 1:06:09 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: 0.600786
[INFO] 2020-09-17 12:10:00 > Step: 16600 Progress: 16.6% Elapsed: 1:06:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.554407
[INFO] 2020-09-17 12:10:19 > Step: 16700 Progress: 16.7% Elapsed: 1:06:47 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: 0.541683
[INFO] 2020-09-17 12:10:38 > Step: 16800 Progress: 16.8% Elapsed: 1:07:07 temperature: no ada_p: No Discriminator_loss: -6.51926e-09 Generator_loss: 0.535339
[INFO] 2020-09-17 12:10:58 > Step: 16900 Progress: 16.9% Elapsed: 1:07:26 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.507941
[INFO] 2020-09-17 12:11:17 > Step: 17000 Progress: 17.0% Elapsed: 1:07:45 temperature: no ada_p: No Discriminator_loss: -7.91624e-09 Generator_loss: 0.530444
[INFO] 2020-09-17 12:11:37 > Step: 17100 Progress: 17.1% Elapsed: 1:08:05 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: 0.52954
[INFO] 2020-09-17 12:11:56 > Step: 17200 Progress: 17.2% Elapsed: 1:08:25 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.536242
[INFO] 2020-09-17 12:12:15 > Step: 17300 Progress: 17.3% Elapsed: 1:08:44 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.526492
[INFO] 2020-09-17 12:12:35 > Step: 17400 Progress: 17.4% Elapsed: 1:09:03 temperature: no ada_p: No Discriminator_loss: -7.45058e-09 Generator_loss: 0.483039
[INFO] 2020-09-17 12:12:55 > Step: 17500 Progress: 17.5% Elapsed: 1:09:23 temperature: no ada_p: No Discriminator_loss: -1.86265e-09 Generator_loss: 0.487914
[INFO] 2020-09-17 12:13:13 > Step: 17600 Progress: 17.6% Elapsed: 1:09:42 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.494739
[INFO] 2020-09-17 12:13:33 > Step: 17700 Progress: 17.7% Elapsed: 1:10:01 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.449039
[INFO] 2020-09-17 12:13:52 > Step: 17800 Progress: 17.8% Elapsed: 1:10:20 temperature: no ada_p: No Discriminator_loss: -6.0536e-09 Generator_loss: 0.429435
[INFO] 2020-09-17 12:14:11 > Step: 17900 Progress: 17.9% Elapsed: 1:10:40 temperature: no ada_p: No Discriminator_loss: -7.45058e-09 Generator_loss: 0.408966
[INFO] 2020-09-17 12:14:31 > Step: 18000 Progress: 18.0% Elapsed: 1:10:59 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.401951
[INFO] 2020-09-17 12:14:31 > Start Evaluation (18000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:16:09 > F_8 score (Step: 18000, Using test images): 0.19161267354446657
[INFO] 2020-09-17 12:16:09 > F_1/8 score (Step: 18000, Using test images): 0.16499534154992318
[INFO] 2020-09-17 12:16:09 > FID score (Step: 18000, Using test moments): 161.36100173723975
[INFO] 2020-09-17 12:16:09 > Inception score (Step: 18000, 10000 generated images): 2.5822930335998535
[INFO] 2020-09-17 12:16:09 > Best FID score (Step: 14000, Using test moments): 161.14379901091996
[INFO] 2020-09-17 12:16:09 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:16:27 > Step: 18100 Progress: 18.1% Elapsed: 1:12:55 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: 0.380004
[INFO] 2020-09-17 12:16:46 > Step: 18200 Progress: 18.2% Elapsed: 1:13:15 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: 0.389553
[INFO] 2020-09-17 12:17:06 > Step: 18300 Progress: 18.3% Elapsed: 1:13:34 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.380066
[INFO] 2020-09-17 12:17:25 > Step: 18400 Progress: 18.4% Elapsed: 1:13:53 temperature: no ada_p: No Discriminator_loss: -1.02445e-08 Generator_loss: 0.363933
[INFO] 2020-09-17 12:17:45 > Step: 18500 Progress: 18.5% Elapsed: 1:14:13 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.368158
[INFO] 2020-09-17 12:18:04 > Step: 18600 Progress: 18.6% Elapsed: 1:14:33 temperature: no ada_p: No Discriminator_loss: -1.21072e-08 Generator_loss: 0.358071
[INFO] 2020-09-17 12:18:23 > Step: 18700 Progress: 18.7% Elapsed: 1:14:52 temperature: no ada_p: No Discriminator_loss: 6.0536e-09 Generator_loss: 0.33735
[INFO] 2020-09-17 12:18:43 > Step: 18800 Progress: 18.8% Elapsed: 1:15:11 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.30018
[INFO] 2020-09-17 12:19:02 > Step: 18900 Progress: 18.9% Elapsed: 1:15:31 temperature: no ada_p: No Discriminator_loss: 8.3819e-09 Generator_loss: 0.316792
[INFO] 2020-09-17 12:19:22 > Step: 19000 Progress: 19.0% Elapsed: 1:15:50 temperature: no ada_p: No Discriminator_loss: 3.25963e-09 Generator_loss: 0.300744
[INFO] 2020-09-17 12:19:42 > Step: 19100 Progress: 19.1% Elapsed: 1:16:10 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: 0.280224
[INFO] 2020-09-17 12:20:01 > Step: 19200 Progress: 19.2% Elapsed: 1:16:29 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: 0.278326
[INFO] 2020-09-17 12:20:20 > Step: 19300 Progress: 19.3% Elapsed: 1:16:49 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.257447
[INFO] 2020-09-17 12:20:40 > Step: 19400 Progress: 19.4% Elapsed: 1:17:08 temperature: no ada_p: No Discriminator_loss: -1.62981e-09 Generator_loss: 0.258591
[INFO] 2020-09-17 12:20:59 > Step: 19500 Progress: 19.5% Elapsed: 1:17:27 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: 0.253807
[INFO] 2020-09-17 12:21:18 > Step: 19600 Progress: 19.6% Elapsed: 1:17:47 temperature: no ada_p: No Discriminator_loss: 5.12227e-09 Generator_loss: 0.270479
[INFO] 2020-09-17 12:21:38 > Step: 19700 Progress: 19.7% Elapsed: 1:18:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.26695
[INFO] 2020-09-17 12:21:57 > Step: 19800 Progress: 19.8% Elapsed: 1:18:25 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: 0.298457
[INFO] 2020-09-17 12:22:17 > Step: 19900 Progress: 19.9% Elapsed: 1:18:45 temperature: no ada_p: No Discriminator_loss: 9.31323e-09 Generator_loss: 0.286139
[INFO] 2020-09-17 12:22:36 > Step: 20000 Progress: 20.0% Elapsed: 1:19:04 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: 0.276521
[INFO] 2020-09-17 12:22:36 > Start Evaluation (20000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:24:15 > F_8 score (Step: 20000, Using test images): 0.18998718151070357
[INFO] 2020-09-17 12:24:15 > F_1/8 score (Step: 20000, Using test images): 0.19842182594860489
[INFO] 2020-09-17 12:24:15 > FID score (Step: 20000, Using test moments): 160.74196541025418
[INFO] 2020-09-17 12:24:15 > Inception score (Step: 20000, 10000 generated images): 2.580068826675415
[INFO] 2020-09-17 12:24:15 > Best FID score (Step: 20000, Using test moments): 160.74196541025418
[INFO] 2020-09-17 12:24:15 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:24:33 > Step: 20100 Progress: 20.1% Elapsed: 1:21:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.290969
[INFO] 2020-09-17 12:24:52 > Step: 20200 Progress: 20.2% Elapsed: 1:21:21 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: 0.291006
[INFO] 2020-09-17 12:25:11 > Step: 20300 Progress: 20.3% Elapsed: 1:21:40 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.27886
[INFO] 2020-09-17 12:25:31 > Step: 20400 Progress: 20.4% Elapsed: 1:21:59 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: 0.232736
[INFO] 2020-09-17 12:25:51 > Step: 20500 Progress: 20.5% Elapsed: 1:22:19 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: 0.251237
[INFO] 2020-09-17 12:26:10 > Step: 20600 Progress: 20.6% Elapsed: 1:22:38 temperature: no ada_p: No Discriminator_loss: -4.42378e-09 Generator_loss: 0.231627
[INFO] 2020-09-17 12:26:29 > Step: 20700 Progress: 20.7% Elapsed: 1:22:58 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: 0.221351
[INFO] 2020-09-17 12:26:49 > Step: 20800 Progress: 20.8% Elapsed: 1:23:18 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.233498
[INFO] 2020-09-17 12:27:08 > Step: 20900 Progress: 20.9% Elapsed: 1:23:36 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.279409
[INFO] 2020-09-17 12:27:28 > Step: 21000 Progress: 21.0% Elapsed: 1:23:56 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: 0.296742
[INFO] 2020-09-17 12:27:47 > Step: 21100 Progress: 21.1% Elapsed: 1:24:16 temperature: no ada_p: No Discriminator_loss: -1.30385e-08 Generator_loss: 0.275492
[INFO] 2020-09-17 12:28:06 > Step: 21200 Progress: 21.2% Elapsed: 1:24:35 temperature: no ada_p: No Discriminator_loss: -5.12227e-09 Generator_loss: 0.295133
[INFO] 2020-09-17 12:28:26 > Step: 21300 Progress: 21.3% Elapsed: 1:24:54 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: 0.303911
[INFO] 2020-09-17 12:28:46 > Step: 21400 Progress: 21.4% Elapsed: 1:25:14 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: 0.247822
[INFO] 2020-09-17 12:29:05 > Step: 21500 Progress: 21.5% Elapsed: 1:25:33 temperature: no ada_p: No Discriminator_loss: 6.98492e-10 Generator_loss: 0.228517
[INFO] 2020-09-17 12:29:24 > Step: 21600 Progress: 21.6% Elapsed: 1:25:53 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: 0.227653
[INFO] 2020-09-17 12:29:43 > Step: 21700 Progress: 21.7% Elapsed: 1:26:12 temperature: no ada_p: No Discriminator_loss: -3.0268e-09 Generator_loss: 0.264838
[INFO] 2020-09-17 12:30:03 > Step: 21800 Progress: 21.8% Elapsed: 1:26:31 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: 0.210968
[INFO] 2020-09-17 12:30:22 > Step: 21900 Progress: 21.9% Elapsed: 1:26:51 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: 0.236576
[INFO] 2020-09-17 12:30:41 > Step: 22000 Progress: 22.0% Elapsed: 1:27:10 temperature: no ada_p: No Discriminator_loss: 5.58794e-09 Generator_loss: 0.293137
[INFO] 2020-09-17 12:30:41 > Start Evaluation (22000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:32:20 > F_8 score (Step: 22000, Using test images): 0.1974849283636503
[INFO] 2020-09-17 12:32:20 > F_1/8 score (Step: 22000, Using test images): 0.18050201449042919
[INFO] 2020-09-17 12:32:20 > FID score (Step: 22000, Using test moments): 161.99734109363965
[INFO] 2020-09-17 12:32:20 > Inception score (Step: 22000, 10000 generated images): 2.5393784046173096
[INFO] 2020-09-17 12:32:20 > Best FID score (Step: 20000, Using test moments): 160.74196541025418
[INFO] 2020-09-17 12:32:21 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:32:39 > Step: 22100 Progress: 22.1% Elapsed: 1:29:08 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: 0.2994
[INFO] 2020-09-17 12:32:59 > Step: 22200 Progress: 22.2% Elapsed: 1:29:27 temperature: no ada_p: No Discriminator_loss: 1.11759e-08 Generator_loss: 0.30083
[INFO] 2020-09-17 12:33:18 > Step: 22300 Progress: 22.3% Elapsed: 1:29:46 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: 0.274788
[INFO] 2020-09-17 12:33:37 > Step: 22400 Progress: 22.4% Elapsed: 1:30:06 temperature: no ada_p: No Discriminator_loss: 4.19095e-09 Generator_loss: 0.266992
[INFO] 2020-09-17 12:33:57 > Step: 22500 Progress: 22.5% Elapsed: 1:30:25 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: 0.288906
[INFO] 2020-09-17 12:34:16 > Step: 22600 Progress: 22.6% Elapsed: 1:30:44 temperature: no ada_p: No Discriminator_loss: -6.51926e-09 Generator_loss: 0.303466
[INFO] 2020-09-17 12:34:36 > Step: 22700 Progress: 22.7% Elapsed: 1:31:04 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: 0.259176
[INFO] 2020-09-17 12:34:55 > Step: 22800 Progress: 22.8% Elapsed: 1:31:23 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: 0.246625
[INFO] 2020-09-17 12:35:14 > Step: 22900 Progress: 22.9% Elapsed: 1:31:43 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: 0.247205
[INFO] 2020-09-17 12:35:34 > Step: 23000 Progress: 23.0% Elapsed: 1:32:02 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: 0.237253
[INFO] 2020-09-17 12:35:53 > Step: 23100 Progress: 23.1% Elapsed: 1:32:21 temperature: no ada_p: No Discriminator_loss: 7.68341e-09 Generator_loss: 0.174949
[INFO] 2020-09-17 12:36:13 > Step: 23200 Progress: 23.2% Elapsed: 1:32:41 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: 0.152342
[INFO] 2020-09-17 12:36:32 > Step: 23300 Progress: 23.3% Elapsed: 1:33:01 temperature: no ada_p: No Discriminator_loss: 3.49246e-09 Generator_loss: 0.147481
[INFO] 2020-09-17 12:36:51 > Step: 23400 Progress: 23.4% Elapsed: 1:33:20 temperature: no ada_p: No Discriminator_loss: 1.74623e-09 Generator_loss: 0.119805
[INFO] 2020-09-17 12:37:11 > Step: 23500 Progress: 23.5% Elapsed: 1:33:39 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: 0.0753965
[INFO] 2020-09-17 12:37:31 > Step: 23600 Progress: 23.6% Elapsed: 1:33:59 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: 0.0864859
[INFO] 2020-09-17 12:37:50 > Step: 23700 Progress: 23.7% Elapsed: 1:34:18 temperature: no ada_p: No Discriminator_loss: -1.33878e-09 Generator_loss: 0.0553978
[INFO] 2020-09-17 12:38:09 > Step: 23800 Progress: 23.8% Elapsed: 1:34:38 temperature: no ada_p: No Discriminator_loss: 9.8953e-10 Generator_loss: 0.0307035
[INFO] 2020-09-17 12:38:29 > Step: 23900 Progress: 23.9% Elapsed: 1:34:57 temperature: no ada_p: No Discriminator_loss: 6.69388e-10 Generator_loss: -0.00269354
[INFO] 2020-09-17 12:38:48 > Step: 24000 Progress: 24.0% Elapsed: 1:35:16 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: 0.0386528
[INFO] 2020-09-17 12:38:48 > Start Evaluation (24000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:40:25 > F_8 score (Step: 24000, Using test images): 0.17394322058435852
[INFO] 2020-09-17 12:40:25 > F_1/8 score (Step: 24000, Using test images): 0.19685683328516243
[INFO] 2020-09-17 12:40:25 > FID score (Step: 24000, Using test moments): 161.18254224981638
[INFO] 2020-09-17 12:40:25 > Inception score (Step: 24000, 10000 generated images): 2.5830612182617188
[INFO] 2020-09-17 12:40:25 > Best FID score (Step: 20000, Using test moments): 160.74196541025418
[INFO] 2020-09-17 12:40:25 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:40:43 > Step: 24100 Progress: 24.1% Elapsed: 1:37:12 temperature: no ada_p: No Discriminator_loss: -2.03727e-09 Generator_loss: 0.0538502
[INFO] 2020-09-17 12:41:02 > Step: 24200 Progress: 24.2% Elapsed: 1:37:30 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: 0.0442041
[INFO] 2020-09-17 12:41:22 > Step: 24300 Progress: 24.3% Elapsed: 1:37:50 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: 0.0347913
[INFO] 2020-09-17 12:41:41 > Step: 24400 Progress: 24.4% Elapsed: 1:38:10 temperature: no ada_p: No Discriminator_loss: -1.25146e-09 Generator_loss: 0.0197013
[INFO] 2020-09-17 12:42:01 > Step: 24500 Progress: 24.5% Elapsed: 1:38:29 temperature: no ada_p: No Discriminator_loss: 4.94765e-10 Generator_loss: 0.00124339
[INFO] 2020-09-17 12:42:20 > Step: 24600 Progress: 24.6% Elapsed: 1:38:48 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: 0.00739135
[INFO] 2020-09-17 12:42:40 > Step: 24700 Progress: 24.7% Elapsed: 1:39:08 temperature: no ada_p: No Discriminator_loss: -8.73115e-10 Generator_loss: 0.0447923
[INFO] 2020-09-17 12:42:59 > Step: 24800 Progress: 24.8% Elapsed: 1:39:27 temperature: no ada_p: No Discriminator_loss: -1.68802e-09 Generator_loss: 0.0476181
[INFO] 2020-09-17 12:43:18 > Step: 24900 Progress: 24.9% Elapsed: 1:39:47 temperature: no ada_p: No Discriminator_loss: -7.85803e-10 Generator_loss: 0.0174657
[INFO] 2020-09-17 12:43:38 > Step: 25000 Progress: 25.0% Elapsed: 1:40:06 temperature: no ada_p: No Discriminator_loss: -1.62981e-09 Generator_loss: 0.0192856
[INFO] 2020-09-17 12:43:57 > Step: 25100 Progress: 25.1% Elapsed: 1:40:25 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: 0.0405615
[INFO] 2020-09-17 12:44:17 > Step: 25200 Progress: 25.2% Elapsed: 1:40:45 temperature: no ada_p: No Discriminator_loss: -2.91038e-10 Generator_loss: 0.0211218
[INFO] 2020-09-17 12:44:36 > Step: 25300 Progress: 25.3% Elapsed: 1:41:04 temperature: no ada_p: No Discriminator_loss: -2.50293e-09 Generator_loss: 0.00123042
[INFO] 2020-09-17 12:44:55 > Step: 25400 Progress: 25.4% Elapsed: 1:41:23 temperature: no ada_p: No Discriminator_loss: -1.74623e-10 Generator_loss: -0.0151131
[INFO] 2020-09-17 12:45:15 > Step: 25500 Progress: 25.5% Elapsed: 1:41:43 temperature: no ada_p: No Discriminator_loss: 2.91038e-10 Generator_loss: -0.0481556
[INFO] 2020-09-17 12:45:34 > Step: 25600 Progress: 25.6% Elapsed: 1:42:02 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.0483507
[INFO] 2020-09-17 12:45:53 > Step: 25700 Progress: 25.7% Elapsed: 1:42:22 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: -0.0739604
[INFO] 2020-09-17 12:46:13 > Step: 25800 Progress: 25.8% Elapsed: 1:42:41 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.0614729
[INFO] 2020-09-17 12:46:32 > Step: 25900 Progress: 25.9% Elapsed: 1:43:00 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.065684
[INFO] 2020-09-17 12:46:51 > Step: 26000 Progress: 26.0% Elapsed: 1:43:20 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.0576851
[INFO] 2020-09-17 12:46:52 > Start Evaluation (26000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:48:31 > F_8 score (Step: 26000, Using test images): 0.17059940688813813
[INFO] 2020-09-17 12:48:31 > F_1/8 score (Step: 26000, Using test images): 0.18344106712169167
[INFO] 2020-09-17 12:48:31 > FID score (Step: 26000, Using test moments): 162.78883148078557
[INFO] 2020-09-17 12:48:31 > Inception score (Step: 26000, 10000 generated images): 2.558089017868042
[INFO] 2020-09-17 12:48:31 > Best FID score (Step: 20000, Using test moments): 160.74196541025418
[INFO] 2020-09-17 12:48:31 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:48:50 > Step: 26100 Progress: 26.1% Elapsed: 1:45:18 temperature: no ada_p: No Discriminator_loss: -8.14907e-10 Generator_loss: -0.0578248
[INFO] 2020-09-17 12:49:09 > Step: 26200 Progress: 26.2% Elapsed: 1:45:37 temperature: no ada_p: No Discriminator_loss: 3.49246e-09 Generator_loss: -0.0672865
[INFO] 2020-09-17 12:49:28 > Step: 26300 Progress: 26.3% Elapsed: 1:45:57 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.0683784
[INFO] 2020-09-17 12:49:48 > Step: 26400 Progress: 26.4% Elapsed: 1:46:16 temperature: no ada_p: No Discriminator_loss: 1.16415e-10 Generator_loss: -0.0557072
[INFO] 2020-09-17 12:50:07 > Step: 26500 Progress: 26.5% Elapsed: 1:46:35 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: -0.0683021
[INFO] 2020-09-17 12:50:27 > Step: 26600 Progress: 26.6% Elapsed: 1:46:55 temperature: no ada_p: No Discriminator_loss: -1.62981e-09 Generator_loss: -0.0649437
[INFO] 2020-09-17 12:50:46 > Step: 26700 Progress: 26.7% Elapsed: 1:47:14 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.102403
[INFO] 2020-09-17 12:51:06 > Step: 26800 Progress: 26.8% Elapsed: 1:47:34 temperature: no ada_p: No Discriminator_loss: -2.44472e-09 Generator_loss: -0.107102
[INFO] 2020-09-17 12:51:25 > Step: 26900 Progress: 26.9% Elapsed: 1:47:54 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.0901815
[INFO] 2020-09-17 12:51:44 > Step: 27000 Progress: 27.0% Elapsed: 1:48:13 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.0711873
[INFO] 2020-09-17 12:52:04 > Step: 27100 Progress: 27.1% Elapsed: 1:48:32 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.0950525
[INFO] 2020-09-17 12:52:24 > Step: 27200 Progress: 27.2% Elapsed: 1:48:52 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.088233
[INFO] 2020-09-17 12:52:43 > Step: 27300 Progress: 27.3% Elapsed: 1:49:11 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.0850686
[INFO] 2020-09-17 12:53:02 > Step: 27400 Progress: 27.4% Elapsed: 1:49:30 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.0916135
[INFO] 2020-09-17 12:53:22 > Step: 27500 Progress: 27.5% Elapsed: 1:49:50 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.0984794
[INFO] 2020-09-17 12:53:41 > Step: 27600 Progress: 27.6% Elapsed: 1:50:09 temperature: no ada_p: No Discriminator_loss: -2.44472e-09 Generator_loss: -0.102422
[INFO] 2020-09-17 12:54:00 > Step: 27700 Progress: 27.7% Elapsed: 1:50:29 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.107154
[INFO] 2020-09-17 12:54:19 > Step: 27800 Progress: 27.8% Elapsed: 1:50:48 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.151608
[INFO] 2020-09-17 12:54:39 > Step: 27900 Progress: 27.9% Elapsed: 1:51:07 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.154201
[INFO] 2020-09-17 12:54:58 > Step: 28000 Progress: 28.0% Elapsed: 1:51:27 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.161252
[INFO] 2020-09-17 12:54:58 > Start Evaluation (28000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:56:40 > F_8 score (Step: 28000, Using test images): 0.1975876137503199
[INFO] 2020-09-17 12:56:40 > F_1/8 score (Step: 28000, Using test images): 0.1776386258089276
[INFO] 2020-09-17 12:56:40 > FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 12:56:40 > Inception score (Step: 28000, 10000 generated images): 2.574613094329834
[INFO] 2020-09-17 12:56:40 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 12:56:40 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 12:56:58 > Step: 28100 Progress: 28.1% Elapsed: 1:53:26 temperature: no ada_p: No Discriminator_loss: 3.0268e-09 Generator_loss: -0.165912
[INFO] 2020-09-17 12:57:17 > Step: 28200 Progress: 28.2% Elapsed: 1:53:46 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.129057
[INFO] 2020-09-17 12:57:37 > Step: 28300 Progress: 28.3% Elapsed: 1:54:05 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.166393
[INFO] 2020-09-17 12:57:56 > Step: 28400 Progress: 28.4% Elapsed: 1:54:24 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.14169
[INFO] 2020-09-17 12:58:16 > Step: 28500 Progress: 28.5% Elapsed: 1:54:44 temperature: no ada_p: No Discriminator_loss: 1.04774e-09 Generator_loss: -0.116195
[INFO] 2020-09-17 12:58:35 > Step: 28600 Progress: 28.6% Elapsed: 1:55:04 temperature: no ada_p: No Discriminator_loss: -1.97906e-09 Generator_loss: -0.112035
[INFO] 2020-09-17 12:58:54 > Step: 28700 Progress: 28.7% Elapsed: 1:55:23 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.106516
[INFO] 2020-09-17 12:59:14 > Step: 28800 Progress: 28.8% Elapsed: 1:55:42 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.106663
[INFO] 2020-09-17 12:59:33 > Step: 28900 Progress: 28.9% Elapsed: 1:56:02 temperature: no ada_p: No Discriminator_loss: 1.5134e-09 Generator_loss: -0.0836128
[INFO] 2020-09-17 12:59:52 > Step: 29000 Progress: 29.0% Elapsed: 1:56:21 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.107216
[INFO] 2020-09-17 13:00:12 > Step: 29100 Progress: 29.1% Elapsed: 1:56:40 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.113506
[INFO] 2020-09-17 13:00:31 > Step: 29200 Progress: 29.2% Elapsed: 1:56:59 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.132731
[INFO] 2020-09-17 13:00:50 > Step: 29300 Progress: 29.3% Elapsed: 1:57:19 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.148549
[INFO] 2020-09-17 13:01:10 > Step: 29400 Progress: 29.4% Elapsed: 1:57:38 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.183151
[INFO] 2020-09-17 13:01:29 > Step: 29500 Progress: 29.5% Elapsed: 1:57:57 temperature: no ada_p: No Discriminator_loss: 3.49246e-09 Generator_loss: -0.156829
[INFO] 2020-09-17 13:01:49 > Step: 29600 Progress: 29.6% Elapsed: 1:58:17 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.162205
[INFO] 2020-09-17 13:02:08 > Step: 29700 Progress: 29.7% Elapsed: 1:58:36 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.13548
[INFO] 2020-09-17 13:02:27 > Step: 29800 Progress: 29.8% Elapsed: 1:58:55 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.143594
[INFO] 2020-09-17 13:02:47 > Step: 29900 Progress: 29.9% Elapsed: 1:59:15 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.141947
[INFO] 2020-09-17 13:03:06 > Step: 30000 Progress: 30.0% Elapsed: 1:59:35 temperature: no ada_p: No Discriminator_loss: -3.0268e-09 Generator_loss: -0.15779
[INFO] 2020-09-17 13:03:06 > Start Evaluation (30000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:04:46 > F_8 score (Step: 30000, Using test images): 0.19885919407944103
[INFO] 2020-09-17 13:04:46 > F_1/8 score (Step: 30000, Using test images): 0.17299873524335718
[INFO] 2020-09-17 13:04:46 > FID score (Step: 30000, Using test moments): 161.18035456601842
[INFO] 2020-09-17 13:04:46 > Inception score (Step: 30000, 10000 generated images): 2.5672521591186523
[INFO] 2020-09-17 13:04:46 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:04:47 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:05:05 > Step: 30100 Progress: 30.1% Elapsed: 2:01:33 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.170806
[INFO] 2020-09-17 13:05:24 > Step: 30200 Progress: 30.2% Elapsed: 2:01:52 temperature: no ada_p: No Discriminator_loss: 1.62981e-09 Generator_loss: -0.188581
[INFO] 2020-09-17 13:05:43 > Step: 30300 Progress: 30.3% Elapsed: 2:02:11 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.186168
[INFO] 2020-09-17 13:06:03 > Step: 30400 Progress: 30.4% Elapsed: 2:02:31 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.171719
[INFO] 2020-09-17 13:06:22 > Step: 30500 Progress: 30.5% Elapsed: 2:02:51 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.159438
[INFO] 2020-09-17 13:06:41 > Step: 30600 Progress: 30.6% Elapsed: 2:03:10 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.108263
[INFO] 2020-09-17 13:07:01 > Step: 30700 Progress: 30.7% Elapsed: 2:03:29 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.134571
[INFO] 2020-09-17 13:07:21 > Step: 30800 Progress: 30.8% Elapsed: 2:03:49 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.143628
[INFO] 2020-09-17 13:07:40 > Step: 30900 Progress: 30.9% Elapsed: 2:04:08 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.157345
[INFO] 2020-09-17 13:07:59 > Step: 31000 Progress: 31.0% Elapsed: 2:04:28 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.140516
[INFO] 2020-09-17 13:08:19 > Step: 31100 Progress: 31.1% Elapsed: 2:04:47 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.124106
[INFO] 2020-09-17 13:08:38 > Step: 31200 Progress: 31.2% Elapsed: 2:05:06 temperature: no ada_p: No Discriminator_loss: -1.86265e-09 Generator_loss: -0.130417
[INFO] 2020-09-17 13:08:58 > Step: 31300 Progress: 31.3% Elapsed: 2:05:26 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: -0.148921
[INFO] 2020-09-17 13:09:17 > Step: 31400 Progress: 31.4% Elapsed: 2:05:46 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.177105
[INFO] 2020-09-17 13:09:36 > Step: 31500 Progress: 31.5% Elapsed: 2:06:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.190368
[INFO] 2020-09-17 13:09:56 > Step: 31600 Progress: 31.6% Elapsed: 2:06:24 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.219852
[INFO] 2020-09-17 13:10:15 > Step: 31700 Progress: 31.7% Elapsed: 2:06:43 temperature: no ada_p: No Discriminator_loss: 1.62981e-09 Generator_loss: -0.233345
[INFO] 2020-09-17 13:10:34 > Step: 31800 Progress: 31.8% Elapsed: 2:07:03 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.222009
[INFO] 2020-09-17 13:10:54 > Step: 31900 Progress: 31.9% Elapsed: 2:07:22 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.211761
[INFO] 2020-09-17 13:11:13 > Step: 32000 Progress: 32.0% Elapsed: 2:07:41 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.180005
[INFO] 2020-09-17 13:11:13 > Start Evaluation (32000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:12:49 > F_8 score (Step: 32000, Using test images): 0.1854731062483142
[INFO] 2020-09-17 13:12:49 > F_1/8 score (Step: 32000, Using test images): 0.19524647812739412
[INFO] 2020-09-17 13:12:49 > FID score (Step: 32000, Using test moments): 162.34960186551015
[INFO] 2020-09-17 13:12:49 > Inception score (Step: 32000, 10000 generated images): 2.570721387863159
[INFO] 2020-09-17 13:12:49 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:12:49 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:13:08 > Step: 32100 Progress: 32.1% Elapsed: 2:09:36 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.163461
[INFO] 2020-09-17 13:13:27 > Step: 32200 Progress: 32.2% Elapsed: 2:09:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.160046
[INFO] 2020-09-17 13:13:46 > Step: 32300 Progress: 32.3% Elapsed: 2:10:15 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.162926
[INFO] 2020-09-17 13:14:06 > Step: 32400 Progress: 32.4% Elapsed: 2:10:34 temperature: no ada_p: No Discriminator_loss: -5.12227e-09 Generator_loss: -0.167972
[INFO] 2020-09-17 13:14:25 > Step: 32500 Progress: 32.5% Elapsed: 2:10:54 temperature: no ada_p: No Discriminator_loss: -4.42378e-09 Generator_loss: -0.190509
[INFO] 2020-09-17 13:14:45 > Step: 32600 Progress: 32.6% Elapsed: 2:11:13 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.174521
[INFO] 2020-09-17 13:15:04 > Step: 32700 Progress: 32.7% Elapsed: 2:11:32 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.190817
[INFO] 2020-09-17 13:15:23 > Step: 32800 Progress: 32.8% Elapsed: 2:11:51 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: -0.166328
[INFO] 2020-09-17 13:15:43 > Step: 32900 Progress: 32.9% Elapsed: 2:12:11 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.1149
[INFO] 2020-09-17 13:16:02 > Step: 33000 Progress: 33.0% Elapsed: 2:12:31 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.0968878
[INFO] 2020-09-17 13:16:21 > Step: 33100 Progress: 33.1% Elapsed: 2:12:50 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.0937922
[INFO] 2020-09-17 13:16:41 > Step: 33200 Progress: 33.2% Elapsed: 2:13:09 temperature: no ada_p: No Discriminator_loss: 1.62981e-09 Generator_loss: -0.0807709
[INFO] 2020-09-17 13:17:01 > Step: 33300 Progress: 33.3% Elapsed: 2:13:29 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.10594
[INFO] 2020-09-17 13:17:20 > Step: 33400 Progress: 33.4% Elapsed: 2:13:48 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.103922
[INFO] 2020-09-17 13:17:39 > Step: 33500 Progress: 33.5% Elapsed: 2:14:07 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.0993204
[INFO] 2020-09-17 13:17:59 > Step: 33600 Progress: 33.6% Elapsed: 2:14:27 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.115549
[INFO] 2020-09-17 13:18:18 > Step: 33700 Progress: 33.7% Elapsed: 2:14:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.100187
[INFO] 2020-09-17 13:18:37 > Step: 33800 Progress: 33.8% Elapsed: 2:15:06 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.0957668
[INFO] 2020-09-17 13:18:57 > Step: 33900 Progress: 33.9% Elapsed: 2:15:25 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.105728
[INFO] 2020-09-17 13:19:16 > Step: 34000 Progress: 34.0% Elapsed: 2:15:44 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: -0.10388
[INFO] 2020-09-17 13:19:16 > Start Evaluation (34000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:20:50 > F_8 score (Step: 34000, Using test images): 0.1904635448062299
[INFO] 2020-09-17 13:20:50 > F_1/8 score (Step: 34000, Using test images): 0.17584654263698019
[INFO] 2020-09-17 13:20:50 > FID score (Step: 34000, Using test moments): 162.36228820077866
[INFO] 2020-09-17 13:20:50 > Inception score (Step: 34000, 10000 generated images): 2.5630240440368652
[INFO] 2020-09-17 13:20:50 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:20:50 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:21:09 > Step: 34100 Progress: 34.1% Elapsed: 2:17:37 temperature: no ada_p: No Discriminator_loss: 1.97906e-09 Generator_loss: -0.100592
[INFO] 2020-09-17 13:21:28 > Step: 34200 Progress: 34.2% Elapsed: 2:17:56 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.0710868
[INFO] 2020-09-17 13:21:47 > Step: 34300 Progress: 34.3% Elapsed: 2:18:16 temperature: no ada_p: No Discriminator_loss: 2.96859e-09 Generator_loss: -0.0553742
[INFO] 2020-09-17 13:22:07 > Step: 34400 Progress: 34.4% Elapsed: 2:18:35 temperature: no ada_p: No Discriminator_loss: -1.74623e-09 Generator_loss: -0.0629056
[INFO] 2020-09-17 13:22:26 > Step: 34500 Progress: 34.5% Elapsed: 2:18:54 temperature: no ada_p: No Discriminator_loss: 5.23869e-10 Generator_loss: -0.0412483
[INFO] 2020-09-17 13:22:46 > Step: 34600 Progress: 34.6% Elapsed: 2:19:14 temperature: no ada_p: No Discriminator_loss: -7.567e-10 Generator_loss: -0.0557156
[INFO] 2020-09-17 13:23:06 > Step: 34700 Progress: 34.7% Elapsed: 2:19:34 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.0784034
[INFO] 2020-09-17 13:23:25 > Step: 34800 Progress: 34.8% Elapsed: 2:19:53 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.0742016
[INFO] 2020-09-17 13:23:44 > Step: 34900 Progress: 34.9% Elapsed: 2:20:13 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.0968501
[INFO] 2020-09-17 13:24:04 > Step: 35000 Progress: 35.0% Elapsed: 2:20:32 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: -0.057171
[INFO] 2020-09-17 13:24:23 > Step: 35100 Progress: 35.1% Elapsed: 2:20:51 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.0364854
[INFO] 2020-09-17 13:24:43 > Step: 35200 Progress: 35.2% Elapsed: 2:21:11 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.0222442
[INFO] 2020-09-17 13:25:02 > Step: 35300 Progress: 35.3% Elapsed: 2:21:30 temperature: no ada_p: No Discriminator_loss: 1.10595e-09 Generator_loss: -0.00770487
[INFO] 2020-09-17 13:25:21 > Step: 35400 Progress: 35.4% Elapsed: 2:21:50 temperature: no ada_p: No Discriminator_loss: -1.13505e-09 Generator_loss: -0.034628
[INFO] 2020-09-17 13:25:41 > Step: 35500 Progress: 35.5% Elapsed: 2:22:09 temperature: no ada_p: No Discriminator_loss: -9.60426e-10 Generator_loss: -0.0226967
[INFO] 2020-09-17 13:26:00 > Step: 35600 Progress: 35.6% Elapsed: 2:22:28 temperature: no ada_p: No Discriminator_loss: -1.28057e-09 Generator_loss: -0.078831
[INFO] 2020-09-17 13:26:20 > Step: 35700 Progress: 35.7% Elapsed: 2:22:48 temperature: no ada_p: No Discriminator_loss: -7.567e-10 Generator_loss: -0.0574448
[INFO] 2020-09-17 13:26:39 > Step: 35800 Progress: 35.8% Elapsed: 2:23:08 temperature: no ada_p: No Discriminator_loss: 1.16415e-10 Generator_loss: -0.034161
[INFO] 2020-09-17 13:26:58 > Step: 35900 Progress: 35.9% Elapsed: 2:23:27 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: -0.0635636
[INFO] 2020-09-17 13:27:18 > Step: 36000 Progress: 36.0% Elapsed: 2:23:46 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.0602772
[INFO] 2020-09-17 13:27:18 > Start Evaluation (36000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:28:53 > F_8 score (Step: 36000, Using test images): 0.20031057457041185
[INFO] 2020-09-17 13:28:53 > F_1/8 score (Step: 36000, Using test images): 0.17517602090452736
[INFO] 2020-09-17 13:28:53 > FID score (Step: 36000, Using test moments): 161.51235272172534
[INFO] 2020-09-17 13:28:53 > Inception score (Step: 36000, 10000 generated images): 2.5805201530456543
[INFO] 2020-09-17 13:28:53 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:28:53 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:29:12 > Step: 36100 Progress: 36.1% Elapsed: 2:25:40 temperature: no ada_p: No Discriminator_loss: -7.567e-10 Generator_loss: -0.0383572
[INFO] 2020-09-17 13:29:30 > Step: 36200 Progress: 36.2% Elapsed: 2:25:59 temperature: no ada_p: No Discriminator_loss: 1.30967e-09 Generator_loss: -0.0265343
[INFO] 2020-09-17 13:29:50 > Step: 36300 Progress: 36.3% Elapsed: 2:26:18 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.0562637
[INFO] 2020-09-17 13:30:09 > Step: 36400 Progress: 36.4% Elapsed: 2:26:38 temperature: no ada_p: No Discriminator_loss: 6.69388e-10 Generator_loss: -0.038299
[INFO] 2020-09-17 13:30:28 > Step: 36500 Progress: 36.5% Elapsed: 2:26:57 temperature: no ada_p: No Discriminator_loss: -7.567e-10 Generator_loss: -0.0471204
[INFO] 2020-09-17 13:30:48 > Step: 36600 Progress: 36.6% Elapsed: 2:27:16 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.0531844
[INFO] 2020-09-17 13:31:07 > Step: 36700 Progress: 36.7% Elapsed: 2:27:35 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.0433895
[INFO] 2020-09-17 13:31:26 > Step: 36800 Progress: 36.8% Elapsed: 2:27:55 temperature: no ada_p: No Discriminator_loss: -1.68802e-09 Generator_loss: -0.053114
[INFO] 2020-09-17 13:31:46 > Step: 36900 Progress: 36.9% Elapsed: 2:28:14 temperature: no ada_p: No Discriminator_loss: -1.74623e-10 Generator_loss: -0.0547838
[INFO] 2020-09-17 13:32:05 > Step: 37000 Progress: 37.0% Elapsed: 2:28:33 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: -0.0589648
[INFO] 2020-09-17 13:32:25 > Step: 37100 Progress: 37.1% Elapsed: 2:28:53 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: -0.048454
[INFO] 2020-09-17 13:32:44 > Step: 37200 Progress: 37.2% Elapsed: 2:29:13 temperature: no ada_p: No Discriminator_loss: -7.42148e-10 Generator_loss: -0.01319
[INFO] 2020-09-17 13:33:03 > Step: 37300 Progress: 37.3% Elapsed: 2:29:32 temperature: no ada_p: No Discriminator_loss: -2.44472e-09 Generator_loss: -0.0273689
[INFO] 2020-09-17 13:33:23 > Step: 37400 Progress: 37.4% Elapsed: 2:29:51 temperature: no ada_p: No Discriminator_loss: 1.62981e-09 Generator_loss: -0.0222595
[INFO] 2020-09-17 13:33:43 > Step: 37500 Progress: 37.5% Elapsed: 2:30:11 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.0303803
[INFO] 2020-09-17 13:34:02 > Step: 37600 Progress: 37.6% Elapsed: 2:30:30 temperature: no ada_p: No Discriminator_loss: 1.16415e-10 Generator_loss: -0.0535874
[INFO] 2020-09-17 13:34:21 > Step: 37700 Progress: 37.7% Elapsed: 2:30:50 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.0520965
[INFO] 2020-09-17 13:34:40 > Step: 37800 Progress: 37.8% Elapsed: 2:31:08 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: -0.0335298
[INFO] 2020-09-17 13:35:00 > Step: 37900 Progress: 37.9% Elapsed: 2:31:28 temperature: no ada_p: No Discriminator_loss: 9.60426e-10 Generator_loss: -0.0257815
[INFO] 2020-09-17 13:35:19 > Step: 38000 Progress: 38.0% Elapsed: 2:31:48 temperature: no ada_p: No Discriminator_loss: -1.36788e-09 Generator_loss: 0.0201956
[INFO] 2020-09-17 13:35:19 > Start Evaluation (38000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:36:54 > F_8 score (Step: 38000, Using test images): 0.1955983957278297
[INFO] 2020-09-17 13:36:54 > F_1/8 score (Step: 38000, Using test images): 0.19746867345358024
[INFO] 2020-09-17 13:36:54 > FID score (Step: 38000, Using test moments): 162.5828987417205
[INFO] 2020-09-17 13:36:54 > Inception score (Step: 38000, 10000 generated images): 2.5450899600982666
[INFO] 2020-09-17 13:36:54 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:36:54 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:37:12 > Step: 38100 Progress: 38.1% Elapsed: 2:33:40 temperature: no ada_p: No Discriminator_loss: -2.03727e-09 Generator_loss: 0.00597933
[INFO] 2020-09-17 13:37:32 > Step: 38200 Progress: 38.2% Elapsed: 2:34:00 temperature: no ada_p: No Discriminator_loss: 1.70257e-09 Generator_loss: -0.00425307
[INFO] 2020-09-17 13:37:51 > Step: 38300 Progress: 38.3% Elapsed: 2:34:20 temperature: no ada_p: No Discriminator_loss: -3.63798e-09 Generator_loss: -0.0156859
[INFO] 2020-09-17 13:38:10 > Step: 38400 Progress: 38.4% Elapsed: 2:34:39 temperature: no ada_p: No Discriminator_loss: 1.10595e-09 Generator_loss: -0.0207547
[INFO] 2020-09-17 13:38:30 > Step: 38500 Progress: 38.5% Elapsed: 2:34:58 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: -0.0433967
[INFO] 2020-09-17 13:38:50 > Step: 38600 Progress: 38.6% Elapsed: 2:35:18 temperature: no ada_p: No Discriminator_loss: -3.20142e-09 Generator_loss: -0.0507048
[INFO] 2020-09-17 13:39:09 > Step: 38700 Progress: 38.7% Elapsed: 2:35:37 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.0410848
[INFO] 2020-09-17 13:39:28 > Step: 38800 Progress: 38.8% Elapsed: 2:35:57 temperature: no ada_p: No Discriminator_loss: -5.82077e-11 Generator_loss: -0.0528428
[INFO] 2020-09-17 13:39:48 > Step: 38900 Progress: 38.9% Elapsed: 2:36:17 temperature: no ada_p: No Discriminator_loss: -1.45519e-09 Generator_loss: -0.0520409
[INFO] 2020-09-17 13:40:07 > Step: 39000 Progress: 39.0% Elapsed: 2:36:36 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.0881915
[INFO] 2020-09-17 13:40:27 > Step: 39100 Progress: 39.1% Elapsed: 2:36:55 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.0815379
[INFO] 2020-09-17 13:40:46 > Step: 39200 Progress: 39.2% Elapsed: 2:37:14 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.0729796
[INFO] 2020-09-17 13:41:05 > Step: 39300 Progress: 39.3% Elapsed: 2:37:34 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.105404
[INFO] 2020-09-17 13:41:25 > Step: 39400 Progress: 39.4% Elapsed: 2:37:53 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.11193
[INFO] 2020-09-17 13:41:44 > Step: 39500 Progress: 39.5% Elapsed: 2:38:12 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.0817175
[INFO] 2020-09-17 13:42:04 > Step: 39600 Progress: 39.6% Elapsed: 2:38:32 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.0191601
[INFO] 2020-09-17 13:42:24 > Step: 39700 Progress: 39.7% Elapsed: 2:38:52 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.0578361
[INFO] 2020-09-17 13:42:43 > Step: 39800 Progress: 39.8% Elapsed: 2:39:11 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.0517339
[INFO] 2020-09-17 13:43:02 > Step: 39900 Progress: 39.9% Elapsed: 2:39:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.0651763
[INFO] 2020-09-17 13:43:22 > Step: 40000 Progress: 40.0% Elapsed: 2:39:50 temperature: no ada_p: No Discriminator_loss: -3.60887e-09 Generator_loss: -0.104303
[INFO] 2020-09-17 13:43:22 > Start Evaluation (40000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:44:55 > F_8 score (Step: 40000, Using test images): 0.212264982126205
[INFO] 2020-09-17 13:44:55 > F_1/8 score (Step: 40000, Using test images): 0.18152145104795422
[INFO] 2020-09-17 13:44:55 > FID score (Step: 40000, Using test moments): 161.69548480073897
[INFO] 2020-09-17 13:44:55 > Inception score (Step: 40000, 10000 generated images): 2.561098575592041
[INFO] 2020-09-17 13:44:55 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:44:55 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:45:13 > Step: 40100 Progress: 40.1% Elapsed: 2:41:42 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.061776
[INFO] 2020-09-17 13:45:33 > Step: 40200 Progress: 40.2% Elapsed: 2:42:01 temperature: no ada_p: No Discriminator_loss: 8.73115e-10 Generator_loss: -0.0390459
[INFO] 2020-09-17 13:45:52 > Step: 40300 Progress: 40.3% Elapsed: 2:42:21 temperature: no ada_p: No Discriminator_loss: 5.82077e-10 Generator_loss: -0.0121106
[INFO] 2020-09-17 13:46:11 > Step: 40400 Progress: 40.4% Elapsed: 2:42:40 temperature: no ada_p: No Discriminator_loss: 1.45519e-09 Generator_loss: -0.0150579
[INFO] 2020-09-17 13:46:31 > Step: 40500 Progress: 40.5% Elapsed: 2:42:59 temperature: no ada_p: No Discriminator_loss: -1.33878e-09 Generator_loss: -0.0326844
[INFO] 2020-09-17 13:46:50 > Step: 40600 Progress: 40.6% Elapsed: 2:43:18 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.0328582
[INFO] 2020-09-17 13:47:10 > Step: 40700 Progress: 40.7% Elapsed: 2:43:38 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: -0.0275877
[INFO] 2020-09-17 13:47:29 > Step: 40800 Progress: 40.8% Elapsed: 2:43:58 temperature: no ada_p: No Discriminator_loss: 1.57161e-09 Generator_loss: -0.00412812
[INFO] 2020-09-17 13:47:48 > Step: 40900 Progress: 40.9% Elapsed: 2:44:17 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.027204
[INFO] 2020-09-17 13:48:08 > Step: 41000 Progress: 41.0% Elapsed: 2:44:36 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.0320695
[INFO] 2020-09-17 13:48:28 > Step: 41100 Progress: 41.1% Elapsed: 2:44:56 temperature: no ada_p: No Discriminator_loss: -1.80444e-09 Generator_loss: -0.0434258
[INFO] 2020-09-17 13:48:47 > Step: 41200 Progress: 41.2% Elapsed: 2:45:15 temperature: no ada_p: No Discriminator_loss: 1.04774e-09 Generator_loss: -0.0269673
[INFO] 2020-09-17 13:49:06 > Step: 41300 Progress: 41.3% Elapsed: 2:45:35 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.0508559
[INFO] 2020-09-17 13:49:26 > Step: 41400 Progress: 41.4% Elapsed: 2:45:54 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.0694241
[INFO] 2020-09-17 13:49:45 > Step: 41500 Progress: 41.5% Elapsed: 2:46:13 temperature: no ada_p: No Discriminator_loss: 1.45519e-09 Generator_loss: -0.0552909
[INFO] 2020-09-17 13:50:05 > Step: 41600 Progress: 41.6% Elapsed: 2:46:33 temperature: no ada_p: No Discriminator_loss: -5.23869e-10 Generator_loss: -0.0719383
[INFO] 2020-09-17 13:50:24 > Step: 41700 Progress: 41.7% Elapsed: 2:46:52 temperature: no ada_p: No Discriminator_loss: 1.74623e-09 Generator_loss: -0.0457694
[INFO] 2020-09-17 13:50:43 > Step: 41800 Progress: 41.8% Elapsed: 2:47:12 temperature: no ada_p: No Discriminator_loss: -8.73115e-10 Generator_loss: -0.0705003
[INFO] 2020-09-17 13:51:03 > Step: 41900 Progress: 41.9% Elapsed: 2:47:31 temperature: no ada_p: No Discriminator_loss: -2.61934e-09 Generator_loss: -0.0399752
[INFO] 2020-09-17 13:51:22 > Step: 42000 Progress: 42.0% Elapsed: 2:47:50 temperature: no ada_p: No Discriminator_loss: -1.68802e-09 Generator_loss: -0.0589711
[INFO] 2020-09-17 13:51:22 > Start Evaluation (42000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:52:57 > F_8 score (Step: 42000, Using test images): 0.17496838371049045
[INFO] 2020-09-17 13:52:57 > F_1/8 score (Step: 42000, Using test images): 0.20141153869836992
[INFO] 2020-09-17 13:52:57 > FID score (Step: 42000, Using test moments): 161.10875654055798
[INFO] 2020-09-17 13:52:57 > Inception score (Step: 42000, 10000 generated images): 2.563368082046509
[INFO] 2020-09-17 13:52:57 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 13:52:57 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 13:53:16 > Step: 42100 Progress: 42.1% Elapsed: 2:49:44 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.0146089
[INFO] 2020-09-17 13:53:35 > Step: 42200 Progress: 42.2% Elapsed: 2:50:03 temperature: no ada_p: No Discriminator_loss: 1.04774e-09 Generator_loss: -0.0132689
[INFO] 2020-09-17 13:53:54 > Step: 42300 Progress: 42.3% Elapsed: 2:50:22 temperature: no ada_p: No Discriminator_loss: 2.53203e-09 Generator_loss: 0.0127588
[INFO] 2020-09-17 13:54:14 > Step: 42400 Progress: 42.4% Elapsed: 2:50:42 temperature: no ada_p: No Discriminator_loss: -8.73115e-10 Generator_loss: 0.0149046
[INFO] 2020-09-17 13:54:34 > Step: 42500 Progress: 42.5% Elapsed: 2:51:02 temperature: no ada_p: No Discriminator_loss: -2.15368e-09 Generator_loss: 0.00193692
[INFO] 2020-09-17 13:54:53 > Step: 42600 Progress: 42.6% Elapsed: 2:51:21 temperature: no ada_p: No Discriminator_loss: -1.83354e-09 Generator_loss: 0.00405804
[INFO] 2020-09-17 13:55:12 > Step: 42700 Progress: 42.7% Elapsed: 2:51:41 temperature: no ada_p: No Discriminator_loss: -5.82077e-10 Generator_loss: -0.00504798
[INFO] 2020-09-17 13:55:32 > Step: 42800 Progress: 42.8% Elapsed: 2:52:00 temperature: no ada_p: No Discriminator_loss: 3.17232e-09 Generator_loss: -0.0188731
[INFO] 2020-09-17 13:55:51 > Step: 42900 Progress: 42.9% Elapsed: 2:52:19 temperature: no ada_p: No Discriminator_loss: 2.2701e-09 Generator_loss: -0.0186317
[INFO] 2020-09-17 13:56:11 > Step: 43000 Progress: 43.0% Elapsed: 2:52:39 temperature: no ada_p: No Discriminator_loss: -4.74392e-09 Generator_loss: -0.0192346
[INFO] 2020-09-17 13:56:30 > Step: 43100 Progress: 43.1% Elapsed: 2:52:58 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.0432023
[INFO] 2020-09-17 13:56:49 > Step: 43200 Progress: 43.2% Elapsed: 2:53:18 temperature: no ada_p: No Discriminator_loss: -2.2701e-09 Generator_loss: -0.0636879
[INFO] 2020-09-17 13:57:09 > Step: 43300 Progress: 43.3% Elapsed: 2:53:37 temperature: no ada_p: No Discriminator_loss: 6.40284e-10 Generator_loss: -0.0485161
[INFO] 2020-09-17 13:57:28 > Step: 43400 Progress: 43.4% Elapsed: 2:53:56 temperature: no ada_p: No Discriminator_loss: -3.60887e-09 Generator_loss: -0.0239419
[INFO] 2020-09-17 13:57:48 > Step: 43500 Progress: 43.5% Elapsed: 2:54:16 temperature: no ada_p: No Discriminator_loss: -1.86265e-09 Generator_loss: 0.0239226
[INFO] 2020-09-17 13:58:07 > Step: 43600 Progress: 43.6% Elapsed: 2:54:36 temperature: no ada_p: No Discriminator_loss: 3.0268e-09 Generator_loss: 0.0444657
[INFO] 2020-09-17 13:58:26 > Step: 43700 Progress: 43.7% Elapsed: 2:54:55 temperature: no ada_p: No Discriminator_loss: -8.14907e-10 Generator_loss: 0.0561707
[INFO] 2020-09-17 13:58:46 > Step: 43800 Progress: 43.8% Elapsed: 2:55:14 temperature: no ada_p: No Discriminator_loss: -1.16415e-10 Generator_loss: 0.0484877
[INFO] 2020-09-17 13:59:06 > Step: 43900 Progress: 43.9% Elapsed: 2:55:34 temperature: no ada_p: No Discriminator_loss: -2.85218e-09 Generator_loss: 0.0360648
[INFO] 2020-09-17 13:59:25 > Step: 44000 Progress: 44.0% Elapsed: 2:55:53 temperature: no ada_p: No Discriminator_loss: -5.00586e-09 Generator_loss: 0.0379549
[INFO] 2020-09-17 13:59:25 > Start Evaluation (44000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:00:58 > F_8 score (Step: 44000, Using test images): 0.18925465680380527
[INFO] 2020-09-17 14:00:58 > F_1/8 score (Step: 44000, Using test images): 0.16826086809459923
[INFO] 2020-09-17 14:00:58 > FID score (Step: 44000, Using test moments): 165.2948486768265
[INFO] 2020-09-17 14:00:58 > Inception score (Step: 44000, 10000 generated images): 2.5198845863342285
[INFO] 2020-09-17 14:00:58 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:00:58 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:01:17 > Step: 44100 Progress: 44.1% Elapsed: 2:57:45 temperature: no ada_p: No Discriminator_loss: -6.40284e-10 Generator_loss: 0.0214704
[INFO] 2020-09-17 14:01:36 > Step: 44200 Progress: 44.2% Elapsed: 2:58:04 temperature: no ada_p: No Discriminator_loss: -4.59841e-09 Generator_loss: 0.0244482
[INFO] 2020-09-17 14:01:55 > Step: 44300 Progress: 44.3% Elapsed: 2:58:24 temperature: no ada_p: No Discriminator_loss: -4.30737e-09 Generator_loss: 0.0109301
[INFO] 2020-09-17 14:02:15 > Step: 44400 Progress: 44.4% Elapsed: 2:58:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.0222173
[INFO] 2020-09-17 14:02:34 > Step: 44500 Progress: 44.5% Elapsed: 2:59:03 temperature: no ada_p: No Discriminator_loss: -1.68802e-09 Generator_loss: 0.0100079
[INFO] 2020-09-17 14:02:54 > Step: 44600 Progress: 44.6% Elapsed: 2:59:22 temperature: no ada_p: No Discriminator_loss: 2.2701e-09 Generator_loss: 0.0202796
[INFO] 2020-09-17 14:03:14 > Step: 44700 Progress: 44.7% Elapsed: 2:59:42 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.000948429
[INFO] 2020-09-17 14:03:33 > Step: 44800 Progress: 44.8% Elapsed: 3:00:01 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.0242927
[INFO] 2020-09-17 14:03:52 > Step: 44900 Progress: 44.9% Elapsed: 3:00:21 temperature: no ada_p: No Discriminator_loss: -6.40284e-10 Generator_loss: -0.0499401
[INFO] 2020-09-17 14:04:12 > Step: 45000 Progress: 45.0% Elapsed: 3:00:40 temperature: no ada_p: No Discriminator_loss: -3.55067e-09 Generator_loss: -0.0242102
[INFO] 2020-09-17 14:04:31 > Step: 45100 Progress: 45.1% Elapsed: 3:00:59 temperature: no ada_p: No Discriminator_loss: -1.04774e-09 Generator_loss: -0.0729792
[INFO] 2020-09-17 14:04:50 > Step: 45200 Progress: 45.2% Elapsed: 3:01:19 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.0671566
[INFO] 2020-09-17 14:05:10 > Step: 45300 Progress: 45.3% Elapsed: 3:01:38 temperature: no ada_p: No Discriminator_loss: 9.8953e-10 Generator_loss: -0.031627
[INFO] 2020-09-17 14:05:29 > Step: 45400 Progress: 45.4% Elapsed: 3:01:57 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.0387107
[INFO] 2020-09-17 14:05:49 > Step: 45500 Progress: 45.5% Elapsed: 3:02:17 temperature: no ada_p: No Discriminator_loss: -6.40284e-10 Generator_loss: -0.0495346
[INFO] 2020-09-17 14:06:08 > Step: 45600 Progress: 45.6% Elapsed: 3:02:36 temperature: no ada_p: No Discriminator_loss: 5.82077e-10 Generator_loss: -0.014377
[INFO] 2020-09-17 14:06:27 > Step: 45700 Progress: 45.7% Elapsed: 3:02:56 temperature: no ada_p: No Discriminator_loss: 2.35741e-09 Generator_loss: -0.0291472
[INFO] 2020-09-17 14:06:47 > Step: 45800 Progress: 45.8% Elapsed: 3:03:15 temperature: no ada_p: No Discriminator_loss: -9.8953e-10 Generator_loss: -0.0575309
[INFO] 2020-09-17 14:07:06 > Step: 45900 Progress: 45.9% Elapsed: 3:03:34 temperature: no ada_p: No Discriminator_loss: -3.49246e-09 Generator_loss: -0.0696863
[INFO] 2020-09-17 14:07:25 > Step: 46000 Progress: 46.0% Elapsed: 3:03:54 temperature: no ada_p: No Discriminator_loss: -2.44472e-09 Generator_loss: -0.111728
[INFO] 2020-09-17 14:07:25 > Start Evaluation (46000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:08:59 > F_8 score (Step: 46000, Using test images): 0.17187604808370838
[INFO] 2020-09-17 14:08:59 > F_1/8 score (Step: 46000, Using test images): 0.18557633417554334
[INFO] 2020-09-17 14:08:59 > FID score (Step: 46000, Using test moments): 164.89722693637694
[INFO] 2020-09-17 14:08:59 > Inception score (Step: 46000, 10000 generated images): 2.5279200077056885
[INFO] 2020-09-17 14:08:59 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:08:59 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:09:18 > Step: 46100 Progress: 46.1% Elapsed: 3:05:46 temperature: no ada_p: No Discriminator_loss: -1.45519e-09 Generator_loss: -0.0589338
[INFO] 2020-09-17 14:09:36 > Step: 46200 Progress: 46.2% Elapsed: 3:06:05 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.0590954
[INFO] 2020-09-17 14:09:56 > Step: 46300 Progress: 46.3% Elapsed: 3:06:24 temperature: no ada_p: No Discriminator_loss: 1.22236e-09 Generator_loss: -0.0326411
[INFO] 2020-09-17 14:10:16 > Step: 46400 Progress: 46.4% Elapsed: 3:06:44 temperature: no ada_p: No Discriminator_loss: 1.45519e-10 Generator_loss: -0.0318246
[INFO] 2020-09-17 14:10:35 > Step: 46500 Progress: 46.5% Elapsed: 3:07:03 temperature: no ada_p: No Discriminator_loss: -4.36557e-10 Generator_loss: -0.0221861
[INFO] 2020-09-17 14:10:54 > Step: 46600 Progress: 46.6% Elapsed: 3:07:23 temperature: no ada_p: No Discriminator_loss: 8.87667e-10 Generator_loss: -0.00916522
[INFO] 2020-09-17 14:11:14 > Step: 46700 Progress: 46.7% Elapsed: 3:07:42 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: 0.00349388
[INFO] 2020-09-17 14:11:33 > Step: 46800 Progress: 46.8% Elapsed: 3:08:02 temperature: no ada_p: No Discriminator_loss: 4.07454e-10 Generator_loss: -0.0367579
[INFO] 2020-09-17 14:11:53 > Step: 46900 Progress: 46.9% Elapsed: 3:08:21 temperature: no ada_p: No Discriminator_loss: -1.04774e-09 Generator_loss: -0.0616782
[INFO] 2020-09-17 14:12:12 > Step: 47000 Progress: 47.0% Elapsed: 3:08:40 temperature: no ada_p: No Discriminator_loss: 2.15368e-09 Generator_loss: -0.0461103
[INFO] 2020-09-17 14:12:32 > Step: 47100 Progress: 47.1% Elapsed: 3:09:00 temperature: no ada_p: No Discriminator_loss: -1.10595e-09 Generator_loss: -0.052887
[INFO] 2020-09-17 14:12:51 > Step: 47200 Progress: 47.2% Elapsed: 3:09:20 temperature: no ada_p: No Discriminator_loss: 1.74623e-10 Generator_loss: -0.0590854
[INFO] 2020-09-17 14:13:10 > Step: 47300 Progress: 47.3% Elapsed: 3:09:39 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.0791392
[INFO] 2020-09-17 14:13:30 > Step: 47400 Progress: 47.4% Elapsed: 3:09:58 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.0939174
[INFO] 2020-09-17 14:13:49 > Step: 47500 Progress: 47.5% Elapsed: 3:10:18 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.096679
[INFO] 2020-09-17 14:14:08 > Step: 47600 Progress: 47.6% Elapsed: 3:10:37 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.0660623
[INFO] 2020-09-17 14:14:28 > Step: 47700 Progress: 47.7% Elapsed: 3:10:56 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.0574267
[INFO] 2020-09-17 14:14:48 > Step: 47800 Progress: 47.8% Elapsed: 3:11:16 temperature: no ada_p: No Discriminator_loss: 1.80444e-09 Generator_loss: -0.044829
[INFO] 2020-09-17 14:15:07 > Step: 47900 Progress: 47.9% Elapsed: 3:11:35 temperature: no ada_p: No Discriminator_loss: 1.28057e-09 Generator_loss: -0.0435609
[INFO] 2020-09-17 14:15:26 > Step: 48000 Progress: 48.0% Elapsed: 3:11:54 temperature: no ada_p: No Discriminator_loss: -2.91038e-10 Generator_loss: -0.0445599
[INFO] 2020-09-17 14:15:26 > Start Evaluation (48000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:17:01 > F_8 score (Step: 48000, Using test images): 0.17284878210710397
[INFO] 2020-09-17 14:17:01 > F_1/8 score (Step: 48000, Using test images): 0.17169110359015383
[INFO] 2020-09-17 14:17:01 > FID score (Step: 48000, Using test moments): 162.03407212536493
[INFO] 2020-09-17 14:17:01 > Inception score (Step: 48000, 10000 generated images): 2.569451093673706
[INFO] 2020-09-17 14:17:01 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:17:01 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:17:19 > Step: 48100 Progress: 48.1% Elapsed: 3:13:47 temperature: no ada_p: No Discriminator_loss: 1.28057e-09 Generator_loss: -0.0523338
[INFO] 2020-09-17 14:17:38 > Step: 48200 Progress: 48.2% Elapsed: 3:14:06 temperature: no ada_p: No Discriminator_loss: -4.07454e-10 Generator_loss: -0.0529543
[INFO] 2020-09-17 14:17:58 > Step: 48300 Progress: 48.3% Elapsed: 3:14:26 temperature: no ada_p: No Discriminator_loss: -1.45519e-10 Generator_loss: -0.0227694
[INFO] 2020-09-17 14:18:17 > Step: 48400 Progress: 48.4% Elapsed: 3:14:45 temperature: no ada_p: No Discriminator_loss: 1.74623e-10 Generator_loss: -0.00869167
[INFO] 2020-09-17 14:18:36 > Step: 48500 Progress: 48.5% Elapsed: 3:15:05 temperature: no ada_p: No Discriminator_loss: -2.12458e-09 Generator_loss: -0.0141994
[INFO] 2020-09-17 14:18:56 > Step: 48600 Progress: 48.6% Elapsed: 3:15:24 temperature: no ada_p: No Discriminator_loss: -1.57161e-09 Generator_loss: 0.00586792
[INFO] 2020-09-17 14:19:15 > Step: 48700 Progress: 48.7% Elapsed: 3:15:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.04111
[INFO] 2020-09-17 14:19:34 > Step: 48800 Progress: 48.8% Elapsed: 3:16:03 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.0849968
[INFO] 2020-09-17 14:19:54 > Step: 48900 Progress: 48.9% Elapsed: 3:16:22 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.0804077
[INFO] 2020-09-17 14:20:13 > Step: 49000 Progress: 49.0% Elapsed: 3:16:41 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.0913734
[INFO] 2020-09-17 14:20:33 > Step: 49100 Progress: 49.1% Elapsed: 3:17:01 temperature: no ada_p: No Discriminator_loss: 6.98492e-10 Generator_loss: -0.108397
[INFO] 2020-09-17 14:20:52 > Step: 49200 Progress: 49.2% Elapsed: 3:17:20 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.145617
[INFO] 2020-09-17 14:21:11 > Step: 49300 Progress: 49.3% Elapsed: 3:17:39 temperature: no ada_p: No Discriminator_loss: 2.21189e-09 Generator_loss: -0.127353
[INFO] 2020-09-17 14:21:31 > Step: 49400 Progress: 49.4% Elapsed: 3:17:59 temperature: no ada_p: No Discriminator_loss: 1.16415e-10 Generator_loss: -0.0888945
[INFO] 2020-09-17 14:21:50 > Step: 49500 Progress: 49.5% Elapsed: 3:18:18 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.147012
[INFO] 2020-09-17 14:22:09 > Step: 49600 Progress: 49.6% Elapsed: 3:18:38 temperature: no ada_p: No Discriminator_loss: -1.97906e-09 Generator_loss: -0.128101
[INFO] 2020-09-17 14:22:29 > Step: 49700 Progress: 49.7% Elapsed: 3:18:57 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.123139
[INFO] 2020-09-17 14:22:48 > Step: 49800 Progress: 49.8% Elapsed: 3:19:16 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.146187
[INFO] 2020-09-17 14:23:07 > Step: 49900 Progress: 49.9% Elapsed: 3:19:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.123984
[INFO] 2020-09-17 14:23:27 > Step: 50000 Progress: 50.0% Elapsed: 3:19:55 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.130545
[INFO] 2020-09-17 14:23:27 > Start Evaluation (50000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:25:02 > F_8 score (Step: 50000, Using test images): 0.21269110931538784
[INFO] 2020-09-17 14:25:02 > F_1/8 score (Step: 50000, Using test images): 0.18531877461435592
[INFO] 2020-09-17 14:25:02 > FID score (Step: 50000, Using test moments): 162.28188183830696
[INFO] 2020-09-17 14:25:02 > Inception score (Step: 50000, 10000 generated images): 2.562450885772705
[INFO] 2020-09-17 14:25:02 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:25:02 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:25:20 > Step: 50100 Progress: 50.1% Elapsed: 3:21:48 temperature: no ada_p: No Discriminator_loss: 2.44472e-09 Generator_loss: -0.120346
[INFO] 2020-09-17 14:25:39 > Step: 50200 Progress: 50.2% Elapsed: 3:22:08 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.0981357
[INFO] 2020-09-17 14:25:59 > Step: 50300 Progress: 50.3% Elapsed: 3:22:27 temperature: no ada_p: No Discriminator_loss: -5.82077e-10 Generator_loss: -0.107477
[INFO] 2020-09-17 14:26:18 > Step: 50400 Progress: 50.4% Elapsed: 3:22:46 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: -0.107165
[INFO] 2020-09-17 14:26:38 > Step: 50500 Progress: 50.5% Elapsed: 3:23:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.119647
[INFO] 2020-09-17 14:26:57 > Step: 50600 Progress: 50.6% Elapsed: 3:23:25 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.14146
[INFO] 2020-09-17 14:27:17 > Step: 50700 Progress: 50.7% Elapsed: 3:23:45 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.147372
[INFO] 2020-09-17 14:27:36 > Step: 50800 Progress: 50.8% Elapsed: 3:24:04 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.176013
[INFO] 2020-09-17 14:27:55 > Step: 50900 Progress: 50.9% Elapsed: 3:24:23 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.197787
[INFO] 2020-09-17 14:28:15 > Step: 51000 Progress: 51.0% Elapsed: 3:24:43 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.210787
[INFO] 2020-09-17 14:28:34 > Step: 51100 Progress: 51.1% Elapsed: 3:25:03 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.202412
[INFO] 2020-09-17 14:28:53 > Step: 51200 Progress: 51.2% Elapsed: 3:25:22 temperature: no ada_p: No Discriminator_loss: -2.56114e-09 Generator_loss: -0.19841
[INFO] 2020-09-17 14:29:13 > Step: 51300 Progress: 51.3% Elapsed: 3:25:41 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.155452
[INFO] 2020-09-17 14:29:33 > Step: 51400 Progress: 51.4% Elapsed: 3:26:01 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.162405
[INFO] 2020-09-17 14:29:51 > Step: 51500 Progress: 51.5% Elapsed: 3:26:20 temperature: no ada_p: No Discriminator_loss: 2.32831e-10 Generator_loss: -0.14335
[INFO] 2020-09-17 14:30:11 > Step: 51600 Progress: 51.6% Elapsed: 3:26:39 temperature: no ada_p: No Discriminator_loss: -1.97906e-09 Generator_loss: -0.134761
[INFO] 2020-09-17 14:30:30 > Step: 51700 Progress: 51.7% Elapsed: 3:26:58 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.129539
[INFO] 2020-09-17 14:30:49 > Step: 51800 Progress: 51.8% Elapsed: 3:27:18 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.133401
[INFO] 2020-09-17 14:31:09 > Step: 51900 Progress: 51.9% Elapsed: 3:27:37 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.141254
[INFO] 2020-09-17 14:31:28 > Step: 52000 Progress: 52.0% Elapsed: 3:27:56 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.123469
[INFO] 2020-09-17 14:31:28 > Start Evaluation (52000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:33:02 > F_8 score (Step: 52000, Using test images): 0.15877982382302935
[INFO] 2020-09-17 14:33:02 > F_1/8 score (Step: 52000, Using test images): 0.18638562960217264
[INFO] 2020-09-17 14:33:02 > FID score (Step: 52000, Using test moments): 161.71829048717024
[INFO] 2020-09-17 14:33:02 > Inception score (Step: 52000, 10000 generated images): 2.574502944946289
[INFO] 2020-09-17 14:33:02 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:33:02 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:33:21 > Step: 52100 Progress: 52.1% Elapsed: 3:29:49 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.102441
[INFO] 2020-09-17 14:33:40 > Step: 52200 Progress: 52.2% Elapsed: 3:30:09 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.0734224
[INFO] 2020-09-17 14:33:59 > Step: 52300 Progress: 52.3% Elapsed: 3:30:28 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.0596707
[INFO] 2020-09-17 14:34:19 > Step: 52400 Progress: 52.4% Elapsed: 3:30:47 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.0559974
[INFO] 2020-09-17 14:34:39 > Step: 52500 Progress: 52.5% Elapsed: 3:31:07 temperature: no ada_p: No Discriminator_loss: -8.73115e-10 Generator_loss: -0.0311102
[INFO] 2020-09-17 14:34:58 > Step: 52600 Progress: 52.6% Elapsed: 3:31:26 temperature: no ada_p: No Discriminator_loss: -1.33878e-09 Generator_loss: -0.0545909
[INFO] 2020-09-17 14:35:17 > Step: 52700 Progress: 52.7% Elapsed: 3:31:46 temperature: no ada_p: No Discriminator_loss: -1.04774e-09 Generator_loss: -0.0633289
[INFO] 2020-09-17 14:35:37 > Step: 52800 Progress: 52.8% Elapsed: 3:32:05 temperature: no ada_p: No Discriminator_loss: -8.14907e-10 Generator_loss: -0.0987334
[INFO] 2020-09-17 14:35:56 > Step: 52900 Progress: 52.9% Elapsed: 3:32:24 temperature: no ada_p: No Discriminator_loss: -1.74623e-09 Generator_loss: -0.0907722
[INFO] 2020-09-17 14:36:16 > Step: 53000 Progress: 53.0% Elapsed: 3:32:44 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.091373
[INFO] 2020-09-17 14:36:35 > Step: 53100 Progress: 53.1% Elapsed: 3:33:03 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.105402
[INFO] 2020-09-17 14:36:54 > Step: 53200 Progress: 53.2% Elapsed: 3:33:23 temperature: no ada_p: No Discriminator_loss: 3.49246e-10 Generator_loss: -0.0634128
[INFO] 2020-09-17 14:37:14 > Step: 53300 Progress: 53.3% Elapsed: 3:33:42 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.0926246
[INFO] 2020-09-17 14:37:33 > Step: 53400 Progress: 53.4% Elapsed: 3:34:01 temperature: no ada_p: No Discriminator_loss: 8.14907e-10 Generator_loss: -0.103916
[INFO] 2020-09-17 14:37:53 > Step: 53500 Progress: 53.5% Elapsed: 3:34:21 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.136939
[INFO] 2020-09-17 14:38:12 > Step: 53600 Progress: 53.6% Elapsed: 3:34:41 temperature: no ada_p: No Discriminator_loss: -3.49246e-10 Generator_loss: -0.12978
[INFO] 2020-09-17 14:38:31 > Step: 53700 Progress: 53.7% Elapsed: 3:35:00 temperature: no ada_p: No Discriminator_loss: 3.49246e-09 Generator_loss: -0.144861
[INFO] 2020-09-17 14:38:51 > Step: 53800 Progress: 53.8% Elapsed: 3:35:19 temperature: no ada_p: No Discriminator_loss: 1.62981e-09 Generator_loss: -0.145269
[INFO] 2020-09-17 14:39:11 > Step: 53900 Progress: 53.9% Elapsed: 3:35:39 temperature: no ada_p: No Discriminator_loss: -1.28057e-09 Generator_loss: -0.127164
[INFO] 2020-09-17 14:39:30 > Step: 54000 Progress: 54.0% Elapsed: 3:35:58 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.121785
[INFO] 2020-09-17 14:39:30 > Start Evaluation (54000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:41:05 > F_8 score (Step: 54000, Using test images): 0.15010707579454738
[INFO] 2020-09-17 14:41:05 > F_1/8 score (Step: 54000, Using test images): 0.1892288686094523
[INFO] 2020-09-17 14:41:05 > FID score (Step: 54000, Using test moments): 163.24124521491615
[INFO] 2020-09-17 14:41:05 > Inception score (Step: 54000, 10000 generated images): 2.5332694053649902
[INFO] 2020-09-17 14:41:05 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:41:05 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:41:24 > Step: 54100 Progress: 54.1% Elapsed: 3:37:52 temperature: no ada_p: No Discriminator_loss: -2.67755e-09 Generator_loss: -0.117573
[INFO] 2020-09-17 14:41:42 > Step: 54200 Progress: 54.2% Elapsed: 3:38:11 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.144373
[INFO] 2020-09-17 14:42:02 > Step: 54300 Progress: 54.3% Elapsed: 3:38:30 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.150061
[INFO] 2020-09-17 14:42:22 > Step: 54400 Progress: 54.4% Elapsed: 3:38:50 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.152398
[INFO] 2020-09-17 14:42:41 > Step: 54500 Progress: 54.5% Elapsed: 3:39:09 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.184814
[INFO] 2020-09-17 14:43:00 > Step: 54600 Progress: 54.6% Elapsed: 3:39:29 temperature: no ada_p: No Discriminator_loss: -3.0268e-09 Generator_loss: -0.205683
[INFO] 2020-09-17 14:43:20 > Step: 54700 Progress: 54.7% Elapsed: 3:39:48 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.185199
[INFO] 2020-09-17 14:43:39 > Step: 54800 Progress: 54.8% Elapsed: 3:40:07 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.179959
[INFO] 2020-09-17 14:43:59 > Step: 54900 Progress: 54.9% Elapsed: 3:40:27 temperature: no ada_p: No Discriminator_loss: -3.72529e-09 Generator_loss: -0.212743
[INFO] 2020-09-17 14:44:18 > Step: 55000 Progress: 55.0% Elapsed: 3:40:47 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.213018
[INFO] 2020-09-17 14:44:38 > Step: 55100 Progress: 55.1% Elapsed: 3:41:06 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.260533
[INFO] 2020-09-17 14:44:57 > Step: 55200 Progress: 55.2% Elapsed: 3:41:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.223687
[INFO] 2020-09-17 14:45:17 > Step: 55300 Progress: 55.3% Elapsed: 3:41:45 temperature: no ada_p: No Discriminator_loss: -6.75209e-09 Generator_loss: -0.26125
[INFO] 2020-09-17 14:45:36 > Step: 55400 Progress: 55.4% Elapsed: 3:42:04 temperature: no ada_p: No Discriminator_loss: 6.98492e-10 Generator_loss: -0.240259
[INFO] 2020-09-17 14:45:55 > Step: 55500 Progress: 55.5% Elapsed: 3:42:24 temperature: no ada_p: No Discriminator_loss: 3.0268e-09 Generator_loss: -0.233078
[INFO] 2020-09-17 14:46:14 > Step: 55600 Progress: 55.6% Elapsed: 3:42:43 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.269673
[INFO] 2020-09-17 14:46:34 > Step: 55700 Progress: 55.7% Elapsed: 3:43:02 temperature: no ada_p: No Discriminator_loss: 3.0268e-09 Generator_loss: -0.263368
[INFO] 2020-09-17 14:46:54 > Step: 55800 Progress: 55.8% Elapsed: 3:43:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.264562
[INFO] 2020-09-17 14:47:13 > Step: 55900 Progress: 55.9% Elapsed: 3:43:41 temperature: no ada_p: No Discriminator_loss: -3.0268e-09 Generator_loss: -0.262967
[INFO] 2020-09-17 14:47:32 > Step: 56000 Progress: 56.0% Elapsed: 3:44:01 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.265885
[INFO] 2020-09-17 14:47:32 > Start Evaluation (56000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:49:06 > F_8 score (Step: 56000, Using test images): 0.20127505193920192
[INFO] 2020-09-17 14:49:07 > F_1/8 score (Step: 56000, Using test images): 0.1705499465319922
[INFO] 2020-09-17 14:49:07 > FID score (Step: 56000, Using test moments): 163.51496982524793
[INFO] 2020-09-17 14:49:07 > Inception score (Step: 56000, 10000 generated images): 2.555521011352539
[INFO] 2020-09-17 14:49:07 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:49:07 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:49:25 > Step: 56100 Progress: 56.1% Elapsed: 3:45:54 temperature: no ada_p: No Discriminator_loss: -6.98492e-10 Generator_loss: -0.258325
[INFO] 2020-09-17 14:49:44 > Step: 56200 Progress: 56.2% Elapsed: 3:46:13 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.272219
[INFO] 2020-09-17 14:50:04 > Step: 56300 Progress: 56.3% Elapsed: 3:46:32 temperature: no ada_p: No Discriminator_loss: -3.72529e-09 Generator_loss: -0.253767
[INFO] 2020-09-17 14:50:24 > Step: 56400 Progress: 56.4% Elapsed: 3:46:52 temperature: no ada_p: No Discriminator_loss: 1.16415e-09 Generator_loss: -0.257231
[INFO] 2020-09-17 14:50:43 > Step: 56500 Progress: 56.5% Elapsed: 3:47:11 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.289477
[INFO] 2020-09-17 14:51:02 > Step: 56600 Progress: 56.6% Elapsed: 3:47:31 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.279071
[INFO] 2020-09-17 14:51:21 > Step: 56700 Progress: 56.7% Elapsed: 3:47:50 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.277872
[INFO] 2020-09-17 14:51:41 > Step: 56800 Progress: 56.8% Elapsed: 3:48:09 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.29204
[INFO] 2020-09-17 14:52:01 > Step: 56900 Progress: 56.9% Elapsed: 3:48:29 temperature: no ada_p: No Discriminator_loss: -5.12227e-09 Generator_loss: -0.284444
[INFO] 2020-09-17 14:52:20 > Step: 57000 Progress: 57.0% Elapsed: 3:48:48 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.234213
[INFO] 2020-09-17 14:52:39 > Step: 57100 Progress: 57.1% Elapsed: 3:49:08 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.240883
[INFO] 2020-09-17 14:52:59 > Step: 57200 Progress: 57.2% Elapsed: 3:49:27 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.289774
[INFO] 2020-09-17 14:53:18 > Step: 57300 Progress: 57.3% Elapsed: 3:49:46 temperature: no ada_p: No Discriminator_loss: 6.51926e-09 Generator_loss: -0.265256
[INFO] 2020-09-17 14:53:38 > Step: 57400 Progress: 57.4% Elapsed: 3:50:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.278571
[INFO] 2020-09-17 14:53:57 > Step: 57500 Progress: 57.5% Elapsed: 3:50:26 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: -0.283676
[INFO] 2020-09-17 14:54:16 > Step: 57600 Progress: 57.6% Elapsed: 3:50:45 temperature: no ada_p: No Discriminator_loss: -1.62981e-09 Generator_loss: -0.262892
[INFO] 2020-09-17 14:54:36 > Step: 57700 Progress: 57.7% Elapsed: 3:51:04 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.254472
[INFO] 2020-09-17 14:54:55 > Step: 57800 Progress: 57.8% Elapsed: 3:51:24 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.274389
[INFO] 2020-09-17 14:55:14 > Step: 57900 Progress: 57.9% Elapsed: 3:51:43 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.223004
[INFO] 2020-09-17 14:55:34 > Step: 58000 Progress: 58.0% Elapsed: 3:52:02 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.283052
[INFO] 2020-09-17 14:55:34 > Start Evaluation (58000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:57:08 > F_8 score (Step: 58000, Using test images): 0.19737398588690938
[INFO] 2020-09-17 14:57:08 > F_1/8 score (Step: 58000, Using test images): 0.1879264489659997
[INFO] 2020-09-17 14:57:08 > FID score (Step: 58000, Using test moments): 161.92410061037242
[INFO] 2020-09-17 14:57:08 > Inception score (Step: 58000, 10000 generated images): 2.58333158493042
[INFO] 2020-09-17 14:57:08 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 14:57:08 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 14:57:26 > Step: 58100 Progress: 58.1% Elapsed: 3:53:55 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.292617
[INFO] 2020-09-17 14:57:46 > Step: 58200 Progress: 58.2% Elapsed: 3:54:14 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.306098
[INFO] 2020-09-17 14:58:06 > Step: 58300 Progress: 58.3% Elapsed: 3:54:34 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.307637
[INFO] 2020-09-17 14:58:25 > Step: 58400 Progress: 58.4% Elapsed: 3:54:53 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.321321
[INFO] 2020-09-17 14:58:44 > Step: 58500 Progress: 58.5% Elapsed: 3:55:13 temperature: no ada_p: No Discriminator_loss: -8.3819e-09 Generator_loss: -0.307301
[INFO] 2020-09-17 14:59:04 > Step: 58600 Progress: 58.6% Elapsed: 3:55:32 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.31458
[INFO] 2020-09-17 14:59:23 > Step: 58700 Progress: 58.7% Elapsed: 3:55:51 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.279655
[INFO] 2020-09-17 14:59:42 > Step: 58800 Progress: 58.8% Elapsed: 3:56:11 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.242119
[INFO] 2020-09-17 15:00:02 > Step: 58900 Progress: 58.9% Elapsed: 3:56:30 temperature: no ada_p: No Discriminator_loss: -2.09548e-09 Generator_loss: -0.212989
[INFO] 2020-09-17 15:00:21 > Step: 59000 Progress: 59.0% Elapsed: 3:56:49 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.212131
[INFO] 2020-09-17 15:00:41 > Step: 59100 Progress: 59.1% Elapsed: 3:57:09 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.180558
[INFO] 2020-09-17 15:01:00 > Step: 59200 Progress: 59.2% Elapsed: 3:57:29 temperature: no ada_p: No Discriminator_loss: -1.86265e-09 Generator_loss: -0.187272
[INFO] 2020-09-17 15:01:19 > Step: 59300 Progress: 59.3% Elapsed: 3:57:48 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.192639
[INFO] 2020-09-17 15:01:39 > Step: 59400 Progress: 59.4% Elapsed: 3:58:07 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.21928
[INFO] 2020-09-17 15:01:58 > Step: 59500 Progress: 59.5% Elapsed: 3:58:26 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: -0.217423
[INFO] 2020-09-17 15:02:18 > Step: 59600 Progress: 59.6% Elapsed: 3:58:46 temperature: no ada_p: No Discriminator_loss: -1.16415e-09 Generator_loss: -0.219724
[INFO] 2020-09-17 15:02:37 > Step: 59700 Progress: 59.7% Elapsed: 3:59:06 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.245057
[INFO] 2020-09-17 15:02:56 > Step: 59800 Progress: 59.8% Elapsed: 3:59:25 temperature: no ada_p: No Discriminator_loss: 5.12227e-09 Generator_loss: -0.272523
[INFO] 2020-09-17 15:03:16 > Step: 59900 Progress: 59.9% Elapsed: 3:59:44 temperature: no ada_p: No Discriminator_loss: 4.42378e-09 Generator_loss: -0.249834
[INFO] 2020-09-17 15:03:36 > Step: 60000 Progress: 60.0% Elapsed: 4:00:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.258321
[INFO] 2020-09-17 15:03:36 > Start Evaluation (60000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:05:11 > F_8 score (Step: 60000, Using test images): 0.185903317678371
[INFO] 2020-09-17 15:05:11 > F_1/8 score (Step: 60000, Using test images): 0.1913967661544582
[INFO] 2020-09-17 15:05:11 > FID score (Step: 60000, Using test moments): 161.2019913676886
[INFO] 2020-09-17 15:05:11 > Inception score (Step: 60000, 10000 generated images): 2.577244997024536
[INFO] 2020-09-17 15:05:11 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 15:05:12 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:05:30 > Step: 60100 Progress: 60.1% Elapsed: 4:01:58 temperature: no ada_p: No Discriminator_loss: -2.32831e-10 Generator_loss: -0.263422
[INFO] 2020-09-17 15:05:49 > Step: 60200 Progress: 60.2% Elapsed: 4:02:17 temperature: no ada_p: No Discriminator_loss: 2.09548e-09 Generator_loss: -0.264714
[INFO] 2020-09-17 15:06:09 > Step: 60300 Progress: 60.3% Elapsed: 4:02:37 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.275756
[INFO] 2020-09-17 15:06:28 > Step: 60400 Progress: 60.4% Elapsed: 4:02:56 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.315578
[INFO] 2020-09-17 15:06:48 > Step: 60500 Progress: 60.5% Elapsed: 4:03:16 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.364255
[INFO] 2020-09-17 15:07:07 > Step: 60600 Progress: 60.6% Elapsed: 4:03:35 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.394578
[INFO] 2020-09-17 15:07:26 > Step: 60700 Progress: 60.7% Elapsed: 4:03:55 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.357588
[INFO] 2020-09-17 15:07:46 > Step: 60800 Progress: 60.8% Elapsed: 4:04:14 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.374437
[INFO] 2020-09-17 15:08:05 > Step: 60900 Progress: 60.9% Elapsed: 4:04:33 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: -0.351777
[INFO] 2020-09-17 15:08:25 > Step: 61000 Progress: 61.0% Elapsed: 4:04:53 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.405189
[INFO] 2020-09-17 15:08:44 > Step: 61100 Progress: 61.1% Elapsed: 4:05:13 temperature: no ada_p: No Discriminator_loss: 1.39698e-09 Generator_loss: -0.385096
[INFO] 2020-09-17 15:09:03 > Step: 61200 Progress: 61.2% Elapsed: 4:05:32 temperature: no ada_p: No Discriminator_loss: -3.72529e-09 Generator_loss: -0.395682
[INFO] 2020-09-17 15:09:23 > Step: 61300 Progress: 61.3% Elapsed: 4:05:51 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.392952
[INFO] 2020-09-17 15:09:43 > Step: 61400 Progress: 61.4% Elapsed: 4:06:11 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.383718
[INFO] 2020-09-17 15:10:02 > Step: 61500 Progress: 61.5% Elapsed: 4:06:30 temperature: no ada_p: No Discriminator_loss: 5.58794e-09 Generator_loss: -0.42589
[INFO] 2020-09-17 15:10:21 > Step: 61600 Progress: 61.6% Elapsed: 4:06:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.42238
[INFO] 2020-09-17 15:10:41 > Step: 61700 Progress: 61.7% Elapsed: 4:07:09 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.382689
[INFO] 2020-09-17 15:11:00 > Step: 61800 Progress: 61.8% Elapsed: 4:07:28 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.381849
[INFO] 2020-09-17 15:11:19 > Step: 61900 Progress: 61.9% Elapsed: 4:07:48 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.367446
[INFO] 2020-09-17 15:11:38 > Step: 62000 Progress: 62.0% Elapsed: 4:08:07 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.377486
[INFO] 2020-09-17 15:11:38 > Start Evaluation (62000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:13:13 > F_8 score (Step: 62000, Using test images): 0.15829754736411839
[INFO] 2020-09-17 15:13:13 > F_1/8 score (Step: 62000, Using test images): 0.17950388501222894
[INFO] 2020-09-17 15:13:13 > FID score (Step: 62000, Using test moments): 163.04569157962305
[INFO] 2020-09-17 15:13:13 > Inception score (Step: 62000, 10000 generated images): 2.534620761871338
[INFO] 2020-09-17 15:13:13 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 15:13:13 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:13:32 > Step: 62100 Progress: 62.1% Elapsed: 4:10:00 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.377511
[INFO] 2020-09-17 15:13:51 > Step: 62200 Progress: 62.2% Elapsed: 4:10:19 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: -0.378928
[INFO] 2020-09-17 15:14:10 > Step: 62300 Progress: 62.3% Elapsed: 4:10:38 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.3783
[INFO] 2020-09-17 15:14:30 > Step: 62400 Progress: 62.4% Elapsed: 4:10:58 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.351517
[INFO] 2020-09-17 15:14:50 > Step: 62500 Progress: 62.5% Elapsed: 4:11:18 temperature: no ada_p: No Discriminator_loss: -3.72529e-09 Generator_loss: -0.357732
[INFO] 2020-09-17 15:15:09 > Step: 62600 Progress: 62.6% Elapsed: 4:11:37 temperature: no ada_p: No Discriminator_loss: -6.0536e-09 Generator_loss: -0.353812
[INFO] 2020-09-17 15:15:28 > Step: 62700 Progress: 62.7% Elapsed: 4:11:56 temperature: no ada_p: No Discriminator_loss: 5.12227e-09 Generator_loss: -0.345666
[INFO] 2020-09-17 15:15:48 > Step: 62800 Progress: 62.8% Elapsed: 4:12:16 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.326811
[INFO] 2020-09-17 15:16:07 > Step: 62900 Progress: 62.9% Elapsed: 4:12:35 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.314339
[INFO] 2020-09-17 15:16:26 > Step: 63000 Progress: 63.0% Elapsed: 4:12:55 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.316048
[INFO] 2020-09-17 15:16:45 > Step: 63100 Progress: 63.1% Elapsed: 4:13:14 temperature: no ada_p: No Discriminator_loss: -6.51926e-09 Generator_loss: -0.312104
[INFO] 2020-09-17 15:17:05 > Step: 63200 Progress: 63.2% Elapsed: 4:13:33 temperature: no ada_p: No Discriminator_loss: -2.32831e-09 Generator_loss: -0.332159
[INFO] 2020-09-17 15:17:24 > Step: 63300 Progress: 63.3% Elapsed: 4:13:53 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.33578
[INFO] 2020-09-17 15:17:43 > Step: 63400 Progress: 63.4% Elapsed: 4:14:12 temperature: no ada_p: No Discriminator_loss: -1.86265e-09 Generator_loss: -0.326387
[INFO] 2020-09-17 15:18:03 > Step: 63500 Progress: 63.5% Elapsed: 4:14:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.337463
[INFO] 2020-09-17 15:18:23 > Step: 63600 Progress: 63.6% Elapsed: 4:14:51 temperature: no ada_p: No Discriminator_loss: -4.65661e-09 Generator_loss: -0.354482
[INFO] 2020-09-17 15:18:41 > Step: 63700 Progress: 63.7% Elapsed: 4:15:10 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.361148
[INFO] 2020-09-17 15:19:01 > Step: 63800 Progress: 63.8% Elapsed: 4:15:29 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.353489
[INFO] 2020-09-17 15:19:20 > Step: 63900 Progress: 63.9% Elapsed: 4:15:49 temperature: no ada_p: No Discriminator_loss: 4.19095e-09 Generator_loss: -0.354748
[INFO] 2020-09-17 15:19:39 > Step: 64000 Progress: 64.0% Elapsed: 4:16:08 temperature: no ada_p: No Discriminator_loss: -3.25963e-09 Generator_loss: -0.347117
[INFO] 2020-09-17 15:19:39 > Start Evaluation (64000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:21:14 > F_8 score (Step: 64000, Using test images): 0.22185025552529766
[INFO] 2020-09-17 15:21:14 > F_1/8 score (Step: 64000, Using test images): 0.18185256834934738
[INFO] 2020-09-17 15:21:14 > FID score (Step: 64000, Using test moments): 161.63173816664312
[INFO] 2020-09-17 15:21:14 > Inception score (Step: 64000, 10000 generated images): 2.5588865280151367
[INFO] 2020-09-17 15:21:14 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 15:21:14 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:21:33 > Step: 64100 Progress: 64.1% Elapsed: 4:18:01 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.333287
[INFO] 2020-09-17 15:21:52 > Step: 64200 Progress: 64.2% Elapsed: 4:18:20 temperature: no ada_p: No Discriminator_loss: 2.32831e-09 Generator_loss: -0.32431
[INFO] 2020-09-17 15:22:11 > Step: 64300 Progress: 64.3% Elapsed: 4:18:39 temperature: no ada_p: No Discriminator_loss: -8.3819e-09 Generator_loss: -0.342816
[INFO] 2020-09-17 15:22:31 > Step: 64400 Progress: 64.4% Elapsed: 4:18:59 temperature: no ada_p: No Discriminator_loss: -6.51926e-09 Generator_loss: -0.322359
[INFO] 2020-09-17 15:22:50 > Step: 64500 Progress: 64.5% Elapsed: 4:19:18 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.289373
[INFO] 2020-09-17 15:23:10 > Step: 64600 Progress: 64.6% Elapsed: 4:19:38 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.315316
[INFO] 2020-09-17 15:23:29 > Step: 64700 Progress: 64.7% Elapsed: 4:19:58 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.323391
[INFO] 2020-09-17 15:23:48 > Step: 64800 Progress: 64.8% Elapsed: 4:20:17 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.316889
[INFO] 2020-09-17 15:24:08 > Step: 64900 Progress: 64.9% Elapsed: 4:20:36 temperature: no ada_p: No Discriminator_loss: -9.31323e-10 Generator_loss: -0.306541
[INFO] 2020-09-17 15:24:28 > Step: 65000 Progress: 65.0% Elapsed: 4:20:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.2996
[INFO] 2020-09-17 15:24:47 > Step: 65100 Progress: 65.1% Elapsed: 4:21:15 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.280334
[INFO] 2020-09-17 15:25:06 > Step: 65200 Progress: 65.2% Elapsed: 4:21:35 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: -0.275089
[INFO] 2020-09-17 15:25:26 > Step: 65300 Progress: 65.3% Elapsed: 4:21:54 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: -0.303588
[INFO] 2020-09-17 15:25:45 > Step: 65400 Progress: 65.4% Elapsed: 4:22:13 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.366203
[INFO] 2020-09-17 15:26:05 > Step: 65500 Progress: 65.5% Elapsed: 4:22:33 temperature: no ada_p: No Discriminator_loss: -2.79397e-09 Generator_loss: -0.350891
[INFO] 2020-09-17 15:26:24 > Step: 65600 Progress: 65.6% Elapsed: 4:22:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.368606
[INFO] 2020-09-17 15:26:43 > Step: 65700 Progress: 65.7% Elapsed: 4:23:12 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.401348
[INFO] 2020-09-17 15:27:03 > Step: 65800 Progress: 65.8% Elapsed: 4:23:31 temperature: no ada_p: No Discriminator_loss: 3.72529e-09 Generator_loss: -0.441874
[INFO] 2020-09-17 15:27:22 > Step: 65900 Progress: 65.9% Elapsed: 4:23:50 temperature: no ada_p: No Discriminator_loss: 5.58794e-09 Generator_loss: -0.481906
[INFO] 2020-09-17 15:27:42 > Step: 66000 Progress: 66.0% Elapsed: 4:24:10 temperature: no ada_p: No Discriminator_loss: -5.58794e-09 Generator_loss: -0.448259
[INFO] 2020-09-17 15:27:42 > Start Evaluation (66000 Step): WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:29:15 > F_8 score (Step: 66000, Using test images): 0.18604547852710526
[INFO] 2020-09-17 15:29:15 > F_1/8 score (Step: 66000, Using test images): 0.1947097099168162
[INFO] 2020-09-17 15:29:15 > FID score (Step: 66000, Using test moments): 163.6507660332988
[INFO] 2020-09-17 15:29:15 > Inception score (Step: 66000, 10000 generated images): 2.536933660507202
[INFO] 2020-09-17 15:29:15 > Best FID score (Step: 28000, Using test moments): 160.56095232981792
[INFO] 2020-09-17 15:29:15 > Saved model to checkpoints/WGAN-WC-train-2020_09_17_11_03_23
[INFO] 2020-09-17 15:29:34 > Step: 66100 Progress: 66.1% Elapsed: 4:26:02 temperature: no ada_p: No Discriminator_loss: 1.86265e-09 Generator_loss: -0.430451
[INFO] 2020-09-17 15:29:53 > Step: 66200 Progress: 66.2% Elapsed: 4:26:21 temperature: no ada_p: No Discriminator_loss: -4.19095e-09 Generator_loss: -0.42995
[INFO] 2020-09-17 15:30:12 > Step: 66300 Progress: 66.3% Elapsed: 4:26:41 temperature: no ada_p: No Discriminator_loss: -1.39698e-09 Generator_loss: -0.431328
[INFO] 2020-09-17 15:30:32 > Step: 66400 Progress: 66.4% Elapsed: 4:27:00 temperature: no ada_p: No Discriminator_loss: 4.65661e-10 Generator_loss: -0.435772
[INFO] 2020-09-17 15:30:51 > Step: 66500 Progress: 66.5% Elapsed: 4:27:19 temperature: no ada_p: No Discriminator_loss: -1.02445e-08 Generator_loss: -0.459077
[INFO] 2020-09-17 15:31:10 > Step: 66600 Progress: 66.6% Elapsed: 4:27:39 temperature: no ada_p: No Discriminator_loss: -4.65661e-10 Generator_loss: -0.429869
[INFO] 2020-09-17 15:31:30 > Step: 66700 Progress: 66.7% Elapsed: 4:27:58 temperature: no ada_p: No Discriminator_loss: 2.79397e-09 Generator_loss: -0.421598
[INFO] 2020-09-17 15:31:49 > Step: 66800 Progress: 66.8% Elapsed: 4:28:17 temperature: no ada_p: No Discriminator_loss: 9.31323e-10 Generator_loss: -0.424761
[INFO] 2020-09-17 15:32:09 > Step: 66900 Progress: 66.9% Elapsed: 4:28:37 temperature: no ada_p: No Discriminator_loss: -1.02445e-08 Generator_loss: -0.441736