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SNGAN-train-2020_09_18_14_37_00.log
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SNGAN-train-2020_09_18_14_37_00.log
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[INFO] 2020-09-18 14:37:00 > Run name : SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 14:37:00 > {'config_path': './configs/CIFAR10/SNGAN.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] 2020-09-18 14:37:00 > {'model': {'architecture': 'resnet', 'conditional_strategy': 'projGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': True, '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': 'hinge', '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': False, 'weight_clipping_bound': 'N/A', '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] 2020-09-18 14:37:00 > Loading train datasets...
[INFO] 2020-09-18 14:37:01 > Train dataset size : 50000
[INFO] 2020-09-18 14:37:01 > Loading test datasets...
[INFO] 2020-09-18 14:37:02 > Eval dataset size : 10000
[INFO] 2020-09-18 14:37:02 > Building model...
[INFO] 2020-09-18 14:37:02 > Modules are located on models.resnet
[INFO] 2020-09-18 14:37:05 > Number of parameters: 4304387
[INFO] 2020-09-18 14:37:05 > Generator(
(linear0): Linear(in_features=128, out_features=4096, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(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): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(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): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(10, 256)
(embed1): Embedding(10, 256)
)
(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] 2020-09-18 14:37:05 > Number of parameters: 1055105
[INFO] 2020-09-18 14:37:05 > 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))
(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))
(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))
(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))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=128, out_features=1, bias=True)
(embedding): Embedding(10, 128)
)
[INFO] 2020-09-18 14:37:09 > Start training....
[INFO] 2020-09-18 14:37:37 > Step: 100 Progress: 0.1% Elapsed: 0:00:27 temperature: no ada_p: No Discriminator_loss: 0.0787987 Generator_loss: 1.68434
[INFO] 2020-09-18 14:38:05 > Step: 200 Progress: 0.2% Elapsed: 0:00:55 temperature: no ada_p: No Discriminator_loss: 0.501589 Generator_loss: 1.1785
[INFO] 2020-09-18 14:38:32 > Step: 300 Progress: 0.3% Elapsed: 0:01:22 temperature: no ada_p: No Discriminator_loss: 0.773812 Generator_loss: 1.19963
[INFO] 2020-09-18 14:39:01 > Step: 400 Progress: 0.4% Elapsed: 0:01:51 temperature: no ada_p: No Discriminator_loss: 0.870233 Generator_loss: 0.173951
[INFO] 2020-09-18 14:39:30 > Step: 500 Progress: 0.5% Elapsed: 0:02:20 temperature: no ada_p: No Discriminator_loss: 0.919552 Generator_loss: 0.240148
[INFO] 2020-09-18 14:39:58 > Step: 600 Progress: 0.6% Elapsed: 0:02:48 temperature: no ada_p: No Discriminator_loss: 0.547218 Generator_loss: 0.975387
[INFO] 2020-09-18 14:40:27 > Step: 700 Progress: 0.7% Elapsed: 0:03:17 temperature: no ada_p: No Discriminator_loss: 0.919277 Generator_loss: 1.40544
[INFO] 2020-09-18 14:40:55 > Step: 800 Progress: 0.8% Elapsed: 0:03:45 temperature: no ada_p: No Discriminator_loss: 0.81971 Generator_loss: 1.71047
[INFO] 2020-09-18 14:41:23 > Step: 900 Progress: 0.9% Elapsed: 0:04:13 temperature: no ada_p: No Discriminator_loss: 1.06769 Generator_loss: 1.82823
[INFO] 2020-09-18 14:41:51 > Step: 1000 Progress: 1.0% Elapsed: 0:04:41 temperature: no ada_p: No Discriminator_loss: 0.80332 Generator_loss: 0.954585
[INFO] 2020-09-18 14:42:20 > Step: 1100 Progress: 1.1% Elapsed: 0:05:10 temperature: no ada_p: No Discriminator_loss: 0.807906 Generator_loss: -0.250589
[INFO] 2020-09-18 14:42:47 > Step: 1200 Progress: 1.2% Elapsed: 0:05:37 temperature: no ada_p: No Discriminator_loss: 0.675833 Generator_loss: 1.20222
[INFO] 2020-09-18 14:43:16 > Step: 1300 Progress: 1.3% Elapsed: 0:06:06 temperature: no ada_p: No Discriminator_loss: 0.796909 Generator_loss: 1.26907
[INFO] 2020-09-18 14:43:44 > Step: 1400 Progress: 1.4% Elapsed: 0:06:34 temperature: no ada_p: No Discriminator_loss: 0.8947 Generator_loss: 0.96751
[INFO] 2020-09-18 14:44:12 > Step: 1500 Progress: 1.5% Elapsed: 0:07:02 temperature: no ada_p: No Discriminator_loss: 0.738193 Generator_loss: 1.41132
[INFO] 2020-09-18 14:44:40 > Step: 1600 Progress: 1.6% Elapsed: 0:07:30 temperature: no ada_p: No Discriminator_loss: 0.692969 Generator_loss: 1.17662
[INFO] 2020-09-18 14:45:07 > Step: 1700 Progress: 1.7% Elapsed: 0:07:57 temperature: no ada_p: No Discriminator_loss: 0.810717 Generator_loss: 0.848712
[INFO] 2020-09-18 14:45:34 > Step: 1800 Progress: 1.8% Elapsed: 0:08:25 temperature: no ada_p: No Discriminator_loss: 0.876416 Generator_loss: 0.314923
[INFO] 2020-09-18 14:46:02 > Step: 1900 Progress: 1.9% Elapsed: 0:08:52 temperature: no ada_p: No Discriminator_loss: 0.604273 Generator_loss: 0.972443
[INFO] 2020-09-18 14:46:30 > Step: 2000 Progress: 2.0% Elapsed: 0:09:20 temperature: no ada_p: No Discriminator_loss: 0.707461 Generator_loss: 0.987741
[INFO] 2020-09-18 14:46:30 > Start Evaluation (2000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 14:48:26 > F_8 score (Step: 2000, Using test images): 0.8226515844677468
[INFO] 2020-09-18 14:48:26 > F_1/8 score (Step: 2000, Using test images): 0.892399618825587
[INFO] 2020-09-18 14:48:26 > FID score (Step: 2000, Using test moments): 43.62704660900522
[INFO] 2020-09-18 14:48:26 > Inception score (Step: 2000, 10000 generated images): 6.5415940284729
[INFO] 2020-09-18 14:48:26 > Best FID score (Step: 2000, Using test moments): 43.62704660900522
[INFO] 2020-09-18 14:48:27 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 14:48:55 > Step: 2100 Progress: 2.1% Elapsed: 0:11:45 temperature: no ada_p: No Discriminator_loss: 1.08204 Generator_loss: 1.26835
[INFO] 2020-09-18 14:49:23 > Step: 2200 Progress: 2.2% Elapsed: 0:12:13 temperature: no ada_p: No Discriminator_loss: 1.03848 Generator_loss: 1.71876
[INFO] 2020-09-18 14:49:51 > Step: 2300 Progress: 2.3% Elapsed: 0:12:41 temperature: no ada_p: No Discriminator_loss: 0.809016 Generator_loss: 0.975427
[INFO] 2020-09-18 14:50:20 > Step: 2400 Progress: 2.4% Elapsed: 0:13:10 temperature: no ada_p: No Discriminator_loss: 0.990221 Generator_loss: 0.728175
[INFO] 2020-09-18 14:50:49 > Step: 2500 Progress: 2.5% Elapsed: 0:13:39 temperature: no ada_p: No Discriminator_loss: 0.762406 Generator_loss: 1.18066
[INFO] 2020-09-18 14:51:17 > Step: 2600 Progress: 2.6% Elapsed: 0:14:07 temperature: no ada_p: No Discriminator_loss: 0.794546 Generator_loss: 1.08479
[INFO] 2020-09-18 14:51:45 > Step: 2700 Progress: 2.7% Elapsed: 0:14:35 temperature: no ada_p: No Discriminator_loss: 0.787027 Generator_loss: 1.18064
[INFO] 2020-09-18 14:52:13 > Step: 2800 Progress: 2.8% Elapsed: 0:15:03 temperature: no ada_p: No Discriminator_loss: 0.746839 Generator_loss: 1.11397
[INFO] 2020-09-18 14:52:42 > Step: 2900 Progress: 2.9% Elapsed: 0:15:32 temperature: no ada_p: No Discriminator_loss: 1.03054 Generator_loss: 1.61134
[INFO] 2020-09-18 14:53:10 > Step: 3000 Progress: 3.0% Elapsed: 0:16:01 temperature: no ada_p: No Discriminator_loss: 0.689486 Generator_loss: 1.01231
[INFO] 2020-09-18 14:53:39 > Step: 3100 Progress: 3.1% Elapsed: 0:16:29 temperature: no ada_p: No Discriminator_loss: 0.547802 Generator_loss: 1.44379
[INFO] 2020-09-18 14:54:07 > Step: 3200 Progress: 3.2% Elapsed: 0:16:57 temperature: no ada_p: No Discriminator_loss: 0.68195 Generator_loss: 1.17181
[INFO] 2020-09-18 14:54:36 > Step: 3300 Progress: 3.3% Elapsed: 0:17:26 temperature: no ada_p: No Discriminator_loss: 0.821622 Generator_loss: 0.667579
[INFO] 2020-09-18 14:55:04 > Step: 3400 Progress: 3.4% Elapsed: 0:17:54 temperature: no ada_p: No Discriminator_loss: 0.774434 Generator_loss: 0.451369
[INFO] 2020-09-18 14:55:32 > Step: 3500 Progress: 3.5% Elapsed: 0:18:22 temperature: no ada_p: No Discriminator_loss: 1.31808 Generator_loss: 1.96452
[INFO] 2020-09-18 14:56:01 > Step: 3600 Progress: 3.6% Elapsed: 0:18:51 temperature: no ada_p: No Discriminator_loss: 0.589847 Generator_loss: 0.632955
[INFO] 2020-09-18 14:56:28 > Step: 3700 Progress: 3.7% Elapsed: 0:19:19 temperature: no ada_p: No Discriminator_loss: 0.752099 Generator_loss: 0.420104
[INFO] 2020-09-18 14:56:56 > Step: 3800 Progress: 3.8% Elapsed: 0:19:46 temperature: no ada_p: No Discriminator_loss: 0.904282 Generator_loss: 1.17647
[INFO] 2020-09-18 14:57:24 > Step: 3900 Progress: 3.9% Elapsed: 0:20:14 temperature: no ada_p: No Discriminator_loss: 0.733587 Generator_loss: 1.11946
[INFO] 2020-09-18 14:57:52 > Step: 4000 Progress: 4.0% Elapsed: 0:20:42 temperature: no ada_p: No Discriminator_loss: 0.919692 Generator_loss: 1.05985
[INFO] 2020-09-18 14:57:52 > Start Evaluation (4000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 14:59:46 > F_8 score (Step: 4000, Using test images): 0.8683600586894766
[INFO] 2020-09-18 14:59:46 > F_1/8 score (Step: 4000, Using test images): 0.9458718956154375
[INFO] 2020-09-18 14:59:46 > FID score (Step: 4000, Using test moments): 36.04856376126037
[INFO] 2020-09-18 14:59:46 > Inception score (Step: 4000, 10000 generated images): 7.402810096740723
[INFO] 2020-09-18 14:59:46 > Best FID score (Step: 4000, Using test moments): 36.04856376126037
[INFO] 2020-09-18 14:59:48 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:00:15 > Step: 4100 Progress: 4.1% Elapsed: 0:23:05 temperature: no ada_p: No Discriminator_loss: 0.751911 Generator_loss: 2.07841
[INFO] 2020-09-18 15:00:43 > Step: 4200 Progress: 4.2% Elapsed: 0:23:33 temperature: no ada_p: No Discriminator_loss: 1.14028 Generator_loss: 1.39311
[INFO] 2020-09-18 15:01:11 > Step: 4300 Progress: 4.3% Elapsed: 0:24:01 temperature: no ada_p: No Discriminator_loss: 0.784384 Generator_loss: 0.850469
[INFO] 2020-09-18 15:01:40 > Step: 4400 Progress: 4.4% Elapsed: 0:24:30 temperature: no ada_p: No Discriminator_loss: 0.885476 Generator_loss: 1.64492
[INFO] 2020-09-18 15:02:07 > Step: 4500 Progress: 4.5% Elapsed: 0:24:58 temperature: no ada_p: No Discriminator_loss: 0.678657 Generator_loss: 1.2884
[INFO] 2020-09-18 15:02:36 > Step: 4600 Progress: 4.6% Elapsed: 0:25:26 temperature: no ada_p: No Discriminator_loss: 1.33028 Generator_loss: 0.568603
[INFO] 2020-09-18 15:03:04 > Step: 4700 Progress: 4.7% Elapsed: 0:25:54 temperature: no ada_p: No Discriminator_loss: 0.850291 Generator_loss: 1.18142
[INFO] 2020-09-18 15:03:32 > Step: 4800 Progress: 4.8% Elapsed: 0:26:22 temperature: no ada_p: No Discriminator_loss: 0.774359 Generator_loss: 0.91938
[INFO] 2020-09-18 15:04:01 > Step: 4900 Progress: 4.9% Elapsed: 0:26:51 temperature: no ada_p: No Discriminator_loss: 0.862332 Generator_loss: 0.277841
[INFO] 2020-09-18 15:04:28 > Step: 5000 Progress: 5.0% Elapsed: 0:27:19 temperature: no ada_p: No Discriminator_loss: 0.796488 Generator_loss: 2.42711
[INFO] 2020-09-18 15:04:56 > Step: 5100 Progress: 5.1% Elapsed: 0:27:46 temperature: no ada_p: No Discriminator_loss: 0.870136 Generator_loss: 1.08421
[INFO] 2020-09-18 15:05:25 > Step: 5200 Progress: 5.2% Elapsed: 0:28:15 temperature: no ada_p: No Discriminator_loss: 1.23049 Generator_loss: 0.95572
[INFO] 2020-09-18 15:05:53 > Step: 5300 Progress: 5.3% Elapsed: 0:28:43 temperature: no ada_p: No Discriminator_loss: 0.815367 Generator_loss: 1.11465
[INFO] 2020-09-18 15:06:21 > Step: 5400 Progress: 5.4% Elapsed: 0:29:11 temperature: no ada_p: No Discriminator_loss: 0.699191 Generator_loss: 1.35559
[INFO] 2020-09-18 15:06:50 > Step: 5500 Progress: 5.5% Elapsed: 0:29:40 temperature: no ada_p: No Discriminator_loss: 0.716439 Generator_loss: 1.20417
[INFO] 2020-09-18 15:07:17 > Step: 5600 Progress: 5.6% Elapsed: 0:30:07 temperature: no ada_p: No Discriminator_loss: 0.990685 Generator_loss: -0.291177
[INFO] 2020-09-18 15:07:46 > Step: 5700 Progress: 5.7% Elapsed: 0:30:36 temperature: no ada_p: No Discriminator_loss: 0.70881 Generator_loss: 1.19065
[INFO] 2020-09-18 15:08:14 > Step: 5800 Progress: 5.8% Elapsed: 0:31:04 temperature: no ada_p: No Discriminator_loss: 0.845549 Generator_loss: 1.34865
[INFO] 2020-09-18 15:08:42 > Step: 5900 Progress: 5.9% Elapsed: 0:31:32 temperature: no ada_p: No Discriminator_loss: 1.11915 Generator_loss: 1.95271
[INFO] 2020-09-18 15:09:10 > Step: 6000 Progress: 6.0% Elapsed: 0:32:00 temperature: no ada_p: No Discriminator_loss: 0.757479 Generator_loss: 0.763854
[INFO] 2020-09-18 15:09:10 > Start Evaluation (6000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:11:05 > F_8 score (Step: 6000, Using test images): 0.9208366637245251
[INFO] 2020-09-18 15:11:05 > F_1/8 score (Step: 6000, Using test images): 0.9401064414444321
[INFO] 2020-09-18 15:11:05 > FID score (Step: 6000, Using test moments): 29.271184881811564
[INFO] 2020-09-18 15:11:05 > Inception score (Step: 6000, 10000 generated images): 7.4418158531188965
[INFO] 2020-09-18 15:11:05 > Best FID score (Step: 6000, Using test moments): 29.271184881811564
[INFO] 2020-09-18 15:11:06 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:11:34 > Step: 6100 Progress: 6.1% Elapsed: 0:34:24 temperature: no ada_p: No Discriminator_loss: 1.07447 Generator_loss: 0.582673
[INFO] 2020-09-18 15:12:02 > Step: 6200 Progress: 6.2% Elapsed: 0:34:52 temperature: no ada_p: No Discriminator_loss: 0.747568 Generator_loss: 1.38526
[INFO] 2020-09-18 15:12:30 > Step: 6300 Progress: 6.3% Elapsed: 0:35:20 temperature: no ada_p: No Discriminator_loss: 0.812049 Generator_loss: 1.11227
[INFO] 2020-09-18 15:12:58 > Step: 6400 Progress: 6.4% Elapsed: 0:35:48 temperature: no ada_p: No Discriminator_loss: 0.627876 Generator_loss: 1.83749
[INFO] 2020-09-18 15:13:26 > Step: 6500 Progress: 6.5% Elapsed: 0:36:17 temperature: no ada_p: No Discriminator_loss: 0.842566 Generator_loss: 0.0580006
[INFO] 2020-09-18 15:13:55 > Step: 6600 Progress: 6.6% Elapsed: 0:36:45 temperature: no ada_p: No Discriminator_loss: 0.874304 Generator_loss: 0.663025
[INFO] 2020-09-18 15:14:22 > Step: 6700 Progress: 6.7% Elapsed: 0:37:12 temperature: no ada_p: No Discriminator_loss: 0.727327 Generator_loss: 0.658653
[INFO] 2020-09-18 15:14:51 > Step: 6800 Progress: 6.8% Elapsed: 0:37:41 temperature: no ada_p: No Discriminator_loss: 1.06533 Generator_loss: 0.714835
[INFO] 2020-09-18 15:15:19 > Step: 6900 Progress: 6.9% Elapsed: 0:38:09 temperature: no ada_p: No Discriminator_loss: 0.833263 Generator_loss: 0.304997
[INFO] 2020-09-18 15:15:47 > Step: 7000 Progress: 7.0% Elapsed: 0:38:37 temperature: no ada_p: No Discriminator_loss: 0.76142 Generator_loss: 1.06316
[INFO] 2020-09-18 15:16:15 > Step: 7100 Progress: 7.1% Elapsed: 0:39:05 temperature: no ada_p: No Discriminator_loss: 0.734381 Generator_loss: 1.35512
[INFO] 2020-09-18 15:16:43 > Step: 7200 Progress: 7.2% Elapsed: 0:39:33 temperature: no ada_p: No Discriminator_loss: 0.76211 Generator_loss: 0.684994
[INFO] 2020-09-18 15:17:11 > Step: 7300 Progress: 7.3% Elapsed: 0:40:01 temperature: no ada_p: No Discriminator_loss: 0.757351 Generator_loss: 1.13105
[INFO] 2020-09-18 15:17:39 > Step: 7400 Progress: 7.4% Elapsed: 0:40:30 temperature: no ada_p: No Discriminator_loss: 0.759205 Generator_loss: 1.67296
[INFO] 2020-09-18 15:18:08 > Step: 7500 Progress: 7.5% Elapsed: 0:40:58 temperature: no ada_p: No Discriminator_loss: 0.58614 Generator_loss: 0.80674
[INFO] 2020-09-18 15:18:35 > Step: 7600 Progress: 7.6% Elapsed: 0:41:25 temperature: no ada_p: No Discriminator_loss: 0.678746 Generator_loss: 1.47507
[INFO] 2020-09-18 15:19:04 > Step: 7700 Progress: 7.7% Elapsed: 0:41:54 temperature: no ada_p: No Discriminator_loss: 0.815047 Generator_loss: 0.837527
[INFO] 2020-09-18 15:19:31 > Step: 7800 Progress: 7.8% Elapsed: 0:42:21 temperature: no ada_p: No Discriminator_loss: 0.619341 Generator_loss: 0.906831
[INFO] 2020-09-18 15:19:59 > Step: 7900 Progress: 7.9% Elapsed: 0:42:50 temperature: no ada_p: No Discriminator_loss: 1.05545 Generator_loss: 1.9867
[INFO] 2020-09-18 15:20:28 > Step: 8000 Progress: 8.0% Elapsed: 0:43:18 temperature: no ada_p: No Discriminator_loss: 0.895518 Generator_loss: 1.78382
[INFO] 2020-09-18 15:20:28 > Start Evaluation (8000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:22:22 > F_8 score (Step: 8000, Using test images): 0.905915108921382
[INFO] 2020-09-18 15:22:22 > F_1/8 score (Step: 8000, Using test images): 0.9469443502369942
[INFO] 2020-09-18 15:22:22 > FID score (Step: 8000, Using test moments): 29.230428705213853
[INFO] 2020-09-18 15:22:22 > Inception score (Step: 8000, 10000 generated images): 7.361751079559326
[INFO] 2020-09-18 15:22:22 > Best FID score (Step: 8000, Using test moments): 29.230428705213853
[INFO] 2020-09-18 15:22:23 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:22:50 > Step: 8100 Progress: 8.1% Elapsed: 0:45:40 temperature: no ada_p: No Discriminator_loss: 0.819956 Generator_loss: 0.419959
[INFO] 2020-09-18 15:23:19 > Step: 8200 Progress: 8.2% Elapsed: 0:46:09 temperature: no ada_p: No Discriminator_loss: 0.631518 Generator_loss: 0.772074
[INFO] 2020-09-18 15:23:47 > Step: 8300 Progress: 8.3% Elapsed: 0:46:37 temperature: no ada_p: No Discriminator_loss: 0.829159 Generator_loss: 0.514791
[INFO] 2020-09-18 15:24:15 > Step: 8400 Progress: 8.4% Elapsed: 0:47:05 temperature: no ada_p: No Discriminator_loss: 1.10459 Generator_loss: 0.128769
[INFO] 2020-09-18 15:24:43 > Step: 8500 Progress: 8.5% Elapsed: 0:47:33 temperature: no ada_p: No Discriminator_loss: 1.05729 Generator_loss: 0.294388
[INFO] 2020-09-18 15:25:11 > Step: 8600 Progress: 8.6% Elapsed: 0:48:01 temperature: no ada_p: No Discriminator_loss: 0.926316 Generator_loss: 0.735049
[INFO] 2020-09-18 15:25:38 > Step: 8700 Progress: 8.7% Elapsed: 0:48:28 temperature: no ada_p: No Discriminator_loss: 0.572896 Generator_loss: 1.17366
[INFO] 2020-09-18 15:26:06 > Step: 8800 Progress: 8.8% Elapsed: 0:48:56 temperature: no ada_p: No Discriminator_loss: 0.634429 Generator_loss: 1.63532
[INFO] 2020-09-18 15:26:33 > Step: 8900 Progress: 8.9% Elapsed: 0:49:23 temperature: no ada_p: No Discriminator_loss: 0.73361 Generator_loss: 1.5291
[INFO] 2020-09-18 15:27:01 > Step: 9000 Progress: 9.0% Elapsed: 0:49:51 temperature: no ada_p: No Discriminator_loss: 0.77652 Generator_loss: 1.26059
[INFO] 2020-09-18 15:27:29 > Step: 9100 Progress: 9.1% Elapsed: 0:50:20 temperature: no ada_p: No Discriminator_loss: 0.613682 Generator_loss: 1.02353
[INFO] 2020-09-18 15:27:57 > Step: 9200 Progress: 9.2% Elapsed: 0:50:47 temperature: no ada_p: No Discriminator_loss: 0.621682 Generator_loss: 1.66282
[INFO] 2020-09-18 15:28:25 > Step: 9300 Progress: 9.3% Elapsed: 0:51:15 temperature: no ada_p: No Discriminator_loss: 0.565216 Generator_loss: 1.65808
[INFO] 2020-09-18 15:28:54 > Step: 9400 Progress: 9.4% Elapsed: 0:51:44 temperature: no ada_p: No Discriminator_loss: 0.652287 Generator_loss: 2.16196
[INFO] 2020-09-18 15:29:21 > Step: 9500 Progress: 9.5% Elapsed: 0:52:11 temperature: no ada_p: No Discriminator_loss: 0.686751 Generator_loss: 0.451788
[INFO] 2020-09-18 15:29:50 > Step: 9600 Progress: 9.6% Elapsed: 0:52:40 temperature: no ada_p: No Discriminator_loss: 0.641949 Generator_loss: 1.4134
[INFO] 2020-09-18 15:30:19 > Step: 9700 Progress: 9.7% Elapsed: 0:53:09 temperature: no ada_p: No Discriminator_loss: 0.76105 Generator_loss: 0.776255
[INFO] 2020-09-18 15:30:46 > Step: 9800 Progress: 9.8% Elapsed: 0:53:36 temperature: no ada_p: No Discriminator_loss: 0.665088 Generator_loss: 1.7133
[INFO] 2020-09-18 15:31:15 > Step: 9900 Progress: 9.9% Elapsed: 0:54:05 temperature: no ada_p: No Discriminator_loss: 0.438477 Generator_loss: 1.33248
[INFO] 2020-09-18 15:31:43 > Step: 10000 Progress: 10.0% Elapsed: 0:54:33 temperature: no ada_p: No Discriminator_loss: 0.603577 Generator_loss: 0.970265
[INFO] 2020-09-18 15:31:43 > Start Evaluation (10000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:33:39 > F_8 score (Step: 10000, Using test images): 0.9239266123273621
[INFO] 2020-09-18 15:33:39 > F_1/8 score (Step: 10000, Using test images): 0.9565289529679308
[INFO] 2020-09-18 15:33:39 > FID score (Step: 10000, Using test moments): 25.581949815748374
[INFO] 2020-09-18 15:33:39 > Inception score (Step: 10000, 10000 generated images): 7.554871082305908
[INFO] 2020-09-18 15:33:39 > Best FID score (Step: 10000, Using test moments): 25.581949815748374
[INFO] 2020-09-18 15:33:41 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:34:08 > Step: 10100 Progress: 10.1% Elapsed: 0:56:58 temperature: no ada_p: No Discriminator_loss: 0.542962 Generator_loss: 0.660283
[INFO] 2020-09-18 15:34:36 > Step: 10200 Progress: 10.2% Elapsed: 0:57:26 temperature: no ada_p: No Discriminator_loss: 0.611937 Generator_loss: 1.21558
[INFO] 2020-09-18 15:35:04 > Step: 10300 Progress: 10.3% Elapsed: 0:57:54 temperature: no ada_p: No Discriminator_loss: 0.541431 Generator_loss: 1.04554
[INFO] 2020-09-18 15:35:33 > Step: 10400 Progress: 10.4% Elapsed: 0:58:23 temperature: no ada_p: No Discriminator_loss: 0.778398 Generator_loss: 1.19996
[INFO] 2020-09-18 15:36:01 > Step: 10500 Progress: 10.5% Elapsed: 0:58:51 temperature: no ada_p: No Discriminator_loss: 0.621509 Generator_loss: 0.972438
[INFO] 2020-09-18 15:36:29 > Step: 10600 Progress: 10.6% Elapsed: 0:59:20 temperature: no ada_p: No Discriminator_loss: 0.840104 Generator_loss: 0.988797
[INFO] 2020-09-18 15:36:58 > Step: 10700 Progress: 10.7% Elapsed: 0:59:48 temperature: no ada_p: No Discriminator_loss: 0.81739 Generator_loss: 1.40266
[INFO] 2020-09-18 15:37:26 > Step: 10800 Progress: 10.8% Elapsed: 1:00:17 temperature: no ada_p: No Discriminator_loss: 0.680458 Generator_loss: 0.936448
[INFO] 2020-09-18 15:37:54 > Step: 10900 Progress: 10.9% Elapsed: 1:00:45 temperature: no ada_p: No Discriminator_loss: 0.548714 Generator_loss: 1.11264
[INFO] 2020-09-18 15:38:23 > Step: 11000 Progress: 11.0% Elapsed: 1:01:13 temperature: no ada_p: No Discriminator_loss: 0.535263 Generator_loss: 0.6203
[INFO] 2020-09-18 15:38:51 > Step: 11100 Progress: 11.1% Elapsed: 1:01:41 temperature: no ada_p: No Discriminator_loss: 0.835088 Generator_loss: 1.30751
[INFO] 2020-09-18 15:39:19 > Step: 11200 Progress: 11.2% Elapsed: 1:02:09 temperature: no ada_p: No Discriminator_loss: 0.703813 Generator_loss: 0.980067
[INFO] 2020-09-18 15:39:47 > Step: 11300 Progress: 11.3% Elapsed: 1:02:37 temperature: no ada_p: No Discriminator_loss: 0.811622 Generator_loss: 1.96237
[INFO] 2020-09-18 15:40:15 > Step: 11400 Progress: 11.4% Elapsed: 1:03:05 temperature: no ada_p: No Discriminator_loss: 0.67492 Generator_loss: 1.46577
[INFO] 2020-09-18 15:40:43 > Step: 11500 Progress: 11.5% Elapsed: 1:03:33 temperature: no ada_p: No Discriminator_loss: 0.757285 Generator_loss: 1.33338
[INFO] 2020-09-18 15:41:12 > Step: 11600 Progress: 11.6% Elapsed: 1:04:02 temperature: no ada_p: No Discriminator_loss: 0.746888 Generator_loss: 1.13418
[INFO] 2020-09-18 15:41:40 > Step: 11700 Progress: 11.7% Elapsed: 1:04:30 temperature: no ada_p: No Discriminator_loss: 0.869051 Generator_loss: 1.758
[INFO] 2020-09-18 15:42:08 > Step: 11800 Progress: 11.8% Elapsed: 1:04:58 temperature: no ada_p: No Discriminator_loss: 0.532424 Generator_loss: 0.936375
[INFO] 2020-09-18 15:42:36 > Step: 11900 Progress: 11.9% Elapsed: 1:05:26 temperature: no ada_p: No Discriminator_loss: 0.53501 Generator_loss: 1.11597
[INFO] 2020-09-18 15:43:04 > Step: 12000 Progress: 12.0% Elapsed: 1:05:54 temperature: no ada_p: No Discriminator_loss: 0.737608 Generator_loss: 0.70548
[INFO] 2020-09-18 15:43:04 > Start Evaluation (12000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:45:00 > F_8 score (Step: 12000, Using test images): 0.9361775806250979
[INFO] 2020-09-18 15:45:00 > F_1/8 score (Step: 12000, Using test images): 0.9664561202554853
[INFO] 2020-09-18 15:45:00 > FID score (Step: 12000, Using test moments): 23.516161654024586
[INFO] 2020-09-18 15:45:00 > Inception score (Step: 12000, 10000 generated images): 7.937016487121582
[INFO] 2020-09-18 15:45:00 > Best FID score (Step: 12000, Using test moments): 23.516161654024586
[INFO] 2020-09-18 15:45:02 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:45:29 > Step: 12100 Progress: 12.1% Elapsed: 1:08:19 temperature: no ada_p: No Discriminator_loss: 0.796013 Generator_loss: 1.78447
[INFO] 2020-09-18 15:45:57 > Step: 12200 Progress: 12.2% Elapsed: 1:08:47 temperature: no ada_p: No Discriminator_loss: 0.632562 Generator_loss: 0.387331
[INFO] 2020-09-18 15:46:25 > Step: 12300 Progress: 12.3% Elapsed: 1:09:15 temperature: no ada_p: No Discriminator_loss: 0.798535 Generator_loss: 0.957486
[INFO] 2020-09-18 15:46:54 > Step: 12400 Progress: 12.4% Elapsed: 1:09:44 temperature: no ada_p: No Discriminator_loss: 0.851776 Generator_loss: 1.9799
[INFO] 2020-09-18 15:47:22 > Step: 12500 Progress: 12.5% Elapsed: 1:10:12 temperature: no ada_p: No Discriminator_loss: 0.641723 Generator_loss: 0.62136
[INFO] 2020-09-18 15:47:50 > Step: 12600 Progress: 12.6% Elapsed: 1:10:40 temperature: no ada_p: No Discriminator_loss: 0.730936 Generator_loss: 0.896208
[INFO] 2020-09-18 15:48:18 > Step: 12700 Progress: 12.7% Elapsed: 1:11:08 temperature: no ada_p: No Discriminator_loss: 0.85837 Generator_loss: 1.49674
[INFO] 2020-09-18 15:48:46 > Step: 12800 Progress: 12.8% Elapsed: 1:11:37 temperature: no ada_p: No Discriminator_loss: 0.532078 Generator_loss: 1.37836
[INFO] 2020-09-18 15:49:15 > Step: 12900 Progress: 12.9% Elapsed: 1:12:05 temperature: no ada_p: No Discriminator_loss: 0.549815 Generator_loss: 0.642113
[INFO] 2020-09-18 15:49:44 > Step: 13000 Progress: 13.0% Elapsed: 1:12:34 temperature: no ada_p: No Discriminator_loss: 0.690247 Generator_loss: 1.64179
[INFO] 2020-09-18 15:50:11 > Step: 13100 Progress: 13.1% Elapsed: 1:13:02 temperature: no ada_p: No Discriminator_loss: 0.706289 Generator_loss: 1.25349
[INFO] 2020-09-18 15:50:40 > Step: 13200 Progress: 13.2% Elapsed: 1:13:30 temperature: no ada_p: No Discriminator_loss: 0.756792 Generator_loss: 1.83512
[INFO] 2020-09-18 15:51:08 > Step: 13300 Progress: 13.3% Elapsed: 1:13:58 temperature: no ada_p: No Discriminator_loss: 0.699385 Generator_loss: 1.76652
[INFO] 2020-09-18 15:51:36 > Step: 13400 Progress: 13.4% Elapsed: 1:14:26 temperature: no ada_p: No Discriminator_loss: 0.508342 Generator_loss: 0.755784
[INFO] 2020-09-18 15:52:04 > Step: 13500 Progress: 13.5% Elapsed: 1:14:54 temperature: no ada_p: No Discriminator_loss: 0.707046 Generator_loss: 1.84019
[INFO] 2020-09-18 15:52:33 > Step: 13600 Progress: 13.6% Elapsed: 1:15:23 temperature: no ada_p: No Discriminator_loss: 0.749498 Generator_loss: 0.713972
[INFO] 2020-09-18 15:53:00 > Step: 13700 Progress: 13.7% Elapsed: 1:15:51 temperature: no ada_p: No Discriminator_loss: 0.64344 Generator_loss: 0.954466
[INFO] 2020-09-18 15:53:29 > Step: 13800 Progress: 13.8% Elapsed: 1:16:19 temperature: no ada_p: No Discriminator_loss: 0.613701 Generator_loss: 1.6862
[INFO] 2020-09-18 15:53:56 > Step: 13900 Progress: 13.9% Elapsed: 1:16:47 temperature: no ada_p: No Discriminator_loss: 0.753096 Generator_loss: 2.3718
[INFO] 2020-09-18 15:54:25 > Step: 14000 Progress: 14.0% Elapsed: 1:17:15 temperature: no ada_p: No Discriminator_loss: 0.551192 Generator_loss: 0.881949
[INFO] 2020-09-18 15:54:25 > Start Evaluation (14000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:56:21 > F_8 score (Step: 14000, Using test images): 0.9313188669767625
[INFO] 2020-09-18 15:56:21 > F_1/8 score (Step: 14000, Using test images): 0.9615080929450963
[INFO] 2020-09-18 15:56:21 > FID score (Step: 14000, Using test moments): 24.491245297343994
[INFO] 2020-09-18 15:56:21 > Inception score (Step: 14000, 10000 generated images): 7.724571704864502
[INFO] 2020-09-18 15:56:21 > Best FID score (Step: 12000, Using test moments): 23.516161654024586
[INFO] 2020-09-18 15:56:22 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 15:56:50 > Step: 14100 Progress: 14.1% Elapsed: 1:19:40 temperature: no ada_p: No Discriminator_loss: 0.627665 Generator_loss: 1.53357
[INFO] 2020-09-18 15:57:18 > Step: 14200 Progress: 14.2% Elapsed: 1:20:08 temperature: no ada_p: No Discriminator_loss: 0.596525 Generator_loss: 1.33556
[INFO] 2020-09-18 15:57:46 > Step: 14300 Progress: 14.3% Elapsed: 1:20:36 temperature: no ada_p: No Discriminator_loss: 0.631458 Generator_loss: 1.00296
[INFO] 2020-09-18 15:58:14 > Step: 14400 Progress: 14.4% Elapsed: 1:21:04 temperature: no ada_p: No Discriminator_loss: 0.70458 Generator_loss: 0.744071
[INFO] 2020-09-18 15:58:42 > Step: 14500 Progress: 14.5% Elapsed: 1:21:32 temperature: no ada_p: No Discriminator_loss: 0.507007 Generator_loss: 1.17543
[INFO] 2020-09-18 15:59:10 > Step: 14600 Progress: 14.6% Elapsed: 1:22:00 temperature: no ada_p: No Discriminator_loss: 0.931591 Generator_loss: 1.50361
[INFO] 2020-09-18 15:59:38 > Step: 14700 Progress: 14.7% Elapsed: 1:22:28 temperature: no ada_p: No Discriminator_loss: 0.508782 Generator_loss: 0.859841
[INFO] 2020-09-18 16:00:06 > Step: 14800 Progress: 14.8% Elapsed: 1:22:56 temperature: no ada_p: No Discriminator_loss: 0.844216 Generator_loss: 0.921401
[INFO] 2020-09-18 16:00:34 > Step: 14900 Progress: 14.9% Elapsed: 1:23:24 temperature: no ada_p: No Discriminator_loss: 0.667664 Generator_loss: 1.64314
[INFO] 2020-09-18 16:01:02 > Step: 15000 Progress: 15.0% Elapsed: 1:23:52 temperature: no ada_p: No Discriminator_loss: 0.760016 Generator_loss: 1.31356
[INFO] 2020-09-18 16:01:30 > Step: 15100 Progress: 15.1% Elapsed: 1:24:20 temperature: no ada_p: No Discriminator_loss: 0.764626 Generator_loss: 1.57091
[INFO] 2020-09-18 16:01:59 > Step: 15200 Progress: 15.2% Elapsed: 1:24:49 temperature: no ada_p: No Discriminator_loss: 0.620459 Generator_loss: 0.455844
[INFO] 2020-09-18 16:02:26 > Step: 15300 Progress: 15.3% Elapsed: 1:25:16 temperature: no ada_p: No Discriminator_loss: 0.647406 Generator_loss: 0.913682
[INFO] 2020-09-18 16:02:55 > Step: 15400 Progress: 15.4% Elapsed: 1:25:45 temperature: no ada_p: No Discriminator_loss: 0.612297 Generator_loss: 1.28801
[INFO] 2020-09-18 16:03:23 > Step: 15500 Progress: 15.5% Elapsed: 1:26:13 temperature: no ada_p: No Discriminator_loss: 1.0787 Generator_loss: 0.664463
[INFO] 2020-09-18 16:03:51 > Step: 15600 Progress: 15.6% Elapsed: 1:26:41 temperature: no ada_p: No Discriminator_loss: 0.653757 Generator_loss: 0.946293
[INFO] 2020-09-18 16:04:19 > Step: 15700 Progress: 15.7% Elapsed: 1:27:09 temperature: no ada_p: No Discriminator_loss: 0.625104 Generator_loss: 1.08186
[INFO] 2020-09-18 16:04:48 > Step: 15800 Progress: 15.8% Elapsed: 1:27:38 temperature: no ada_p: No Discriminator_loss: 0.56595 Generator_loss: 1.58551
[INFO] 2020-09-18 16:05:15 > Step: 15900 Progress: 15.9% Elapsed: 1:28:05 temperature: no ada_p: No Discriminator_loss: 0.813065 Generator_loss: 1.14291
[INFO] 2020-09-18 16:05:43 > Step: 16000 Progress: 16.0% Elapsed: 1:28:33 temperature: no ada_p: No Discriminator_loss: 0.705979 Generator_loss: 1.36325
[INFO] 2020-09-18 16:05:43 > Start Evaluation (16000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:07:35 > F_8 score (Step: 16000, Using test images): 0.9306921499241808
[INFO] 2020-09-18 16:07:35 > F_1/8 score (Step: 16000, Using test images): 0.9601705077819322
[INFO] 2020-09-18 16:07:35 > FID score (Step: 16000, Using test moments): 25.948748917292562
[INFO] 2020-09-18 16:07:35 > Inception score (Step: 16000, 10000 generated images): 7.95060396194458
[INFO] 2020-09-18 16:07:35 > Best FID score (Step: 12000, Using test moments): 23.516161654024586
[INFO] 2020-09-18 16:07:35 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:08:03 > Step: 16100 Progress: 16.1% Elapsed: 1:30:53 temperature: no ada_p: No Discriminator_loss: 0.725805 Generator_loss: 0.964614
[INFO] 2020-09-18 16:08:31 > Step: 16200 Progress: 16.2% Elapsed: 1:31:21 temperature: no ada_p: No Discriminator_loss: 0.624423 Generator_loss: 1.71199
[INFO] 2020-09-18 16:08:59 > Step: 16300 Progress: 16.3% Elapsed: 1:31:49 temperature: no ada_p: No Discriminator_loss: 0.612923 Generator_loss: -0.188821
[INFO] 2020-09-18 16:09:27 > Step: 16400 Progress: 16.4% Elapsed: 1:32:17 temperature: no ada_p: No Discriminator_loss: 0.73573 Generator_loss: 1.41852
[INFO] 2020-09-18 16:09:55 > Step: 16500 Progress: 16.5% Elapsed: 1:32:45 temperature: no ada_p: No Discriminator_loss: 0.992667 Generator_loss: 2.32685
[INFO] 2020-09-18 16:10:23 > Step: 16600 Progress: 16.6% Elapsed: 1:33:13 temperature: no ada_p: No Discriminator_loss: 0.954592 Generator_loss: 1.02773
[INFO] 2020-09-18 16:10:51 > Step: 16700 Progress: 16.7% Elapsed: 1:33:41 temperature: no ada_p: No Discriminator_loss: 0.746612 Generator_loss: 0.448218
[INFO] 2020-09-18 16:11:19 > Step: 16800 Progress: 16.8% Elapsed: 1:34:09 temperature: no ada_p: No Discriminator_loss: 0.536438 Generator_loss: 1.06706
[INFO] 2020-09-18 16:11:47 > Step: 16900 Progress: 16.9% Elapsed: 1:34:37 temperature: no ada_p: No Discriminator_loss: 0.689748 Generator_loss: 0.972699
[INFO] 2020-09-18 16:12:15 > Step: 17000 Progress: 17.0% Elapsed: 1:35:05 temperature: no ada_p: No Discriminator_loss: 0.719681 Generator_loss: 0.654005
[INFO] 2020-09-18 16:12:43 > Step: 17100 Progress: 17.1% Elapsed: 1:35:33 temperature: no ada_p: No Discriminator_loss: 0.735674 Generator_loss: 1.93925
[INFO] 2020-09-18 16:13:11 > Step: 17200 Progress: 17.2% Elapsed: 1:36:02 temperature: no ada_p: No Discriminator_loss: 0.605847 Generator_loss: 1.55177
[INFO] 2020-09-18 16:13:40 > Step: 17300 Progress: 17.3% Elapsed: 1:36:30 temperature: no ada_p: No Discriminator_loss: 0.702846 Generator_loss: 1.69362
[INFO] 2020-09-18 16:14:08 > Step: 17400 Progress: 17.4% Elapsed: 1:36:58 temperature: no ada_p: No Discriminator_loss: 0.810474 Generator_loss: 1.56056
[INFO] 2020-09-18 16:14:36 > Step: 17500 Progress: 17.5% Elapsed: 1:37:26 temperature: no ada_p: No Discriminator_loss: 0.668449 Generator_loss: 1.45769
[INFO] 2020-09-18 16:15:04 > Step: 17600 Progress: 17.6% Elapsed: 1:37:54 temperature: no ada_p: No Discriminator_loss: 0.559486 Generator_loss: 1.17395
[INFO] 2020-09-18 16:15:32 > Step: 17700 Progress: 17.7% Elapsed: 1:38:22 temperature: no ada_p: No Discriminator_loss: 0.84788 Generator_loss: 1.33293
[INFO] 2020-09-18 16:16:00 > Step: 17800 Progress: 17.8% Elapsed: 1:38:50 temperature: no ada_p: No Discriminator_loss: 1.01046 Generator_loss: 2.02258
[INFO] 2020-09-18 16:16:28 > Step: 17900 Progress: 17.9% Elapsed: 1:39:18 temperature: no ada_p: No Discriminator_loss: 0.752195 Generator_loss: 0.752091
[INFO] 2020-09-18 16:16:56 > Step: 18000 Progress: 18.0% Elapsed: 1:39:47 temperature: no ada_p: No Discriminator_loss: 0.581839 Generator_loss: 1.39549
[INFO] 2020-09-18 16:16:57 > Start Evaluation (18000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:18:51 > F_8 score (Step: 18000, Using test images): 0.9325146013355704
[INFO] 2020-09-18 16:18:51 > F_1/8 score (Step: 18000, Using test images): 0.9638450599754368
[INFO] 2020-09-18 16:18:51 > FID score (Step: 18000, Using test moments): 22.322656267191064
[INFO] 2020-09-18 16:18:51 > Inception score (Step: 18000, 10000 generated images): 7.899580478668213
[INFO] 2020-09-18 16:18:51 > Best FID score (Step: 18000, Using test moments): 22.322656267191064
[INFO] 2020-09-18 16:18:53 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:19:20 > Step: 18100 Progress: 18.1% Elapsed: 1:42:10 temperature: no ada_p: No Discriminator_loss: 0.805571 Generator_loss: 2.26527
[INFO] 2020-09-18 16:19:49 > Step: 18200 Progress: 18.2% Elapsed: 1:42:39 temperature: no ada_p: No Discriminator_loss: 0.697878 Generator_loss: 1.86651
[INFO] 2020-09-18 16:20:17 > Step: 18300 Progress: 18.3% Elapsed: 1:43:07 temperature: no ada_p: No Discriminator_loss: 0.598054 Generator_loss: 1.28039
[INFO] 2020-09-18 16:20:44 > Step: 18400 Progress: 18.4% Elapsed: 1:43:35 temperature: no ada_p: No Discriminator_loss: 0.874751 Generator_loss: 1.58123
[INFO] 2020-09-18 16:21:13 > Step: 18500 Progress: 18.5% Elapsed: 1:44:03 temperature: no ada_p: No Discriminator_loss: 0.916047 Generator_loss: 1.25841
[INFO] 2020-09-18 16:21:41 > Step: 18600 Progress: 18.6% Elapsed: 1:44:31 temperature: no ada_p: No Discriminator_loss: 0.861187 Generator_loss: 1.31303
[INFO] 2020-09-18 16:22:09 > Step: 18700 Progress: 18.7% Elapsed: 1:44:59 temperature: no ada_p: No Discriminator_loss: 0.955814 Generator_loss: 0.407243
[INFO] 2020-09-18 16:22:37 > Step: 18800 Progress: 18.8% Elapsed: 1:45:27 temperature: no ada_p: No Discriminator_loss: 0.61543 Generator_loss: 0.425798
[INFO] 2020-09-18 16:23:05 > Step: 18900 Progress: 18.9% Elapsed: 1:45:55 temperature: no ada_p: No Discriminator_loss: 0.640997 Generator_loss: 1.51362
[INFO] 2020-09-18 16:23:33 > Step: 19000 Progress: 19.0% Elapsed: 1:46:24 temperature: no ada_p: No Discriminator_loss: 0.630369 Generator_loss: 1.52137
[INFO] 2020-09-18 16:24:01 > Step: 19100 Progress: 19.1% Elapsed: 1:46:51 temperature: no ada_p: No Discriminator_loss: 0.46109 Generator_loss: 1.57614
[INFO] 2020-09-18 16:24:29 > Step: 19200 Progress: 19.2% Elapsed: 1:47:19 temperature: no ada_p: No Discriminator_loss: 0.525741 Generator_loss: 1.27184
[INFO] 2020-09-18 16:24:57 > Step: 19300 Progress: 19.3% Elapsed: 1:47:47 temperature: no ada_p: No Discriminator_loss: 0.718826 Generator_loss: 1.50358
[INFO] 2020-09-18 16:25:25 > Step: 19400 Progress: 19.4% Elapsed: 1:48:15 temperature: no ada_p: No Discriminator_loss: 0.730461 Generator_loss: 1.07488
[INFO] 2020-09-18 16:25:53 > Step: 19500 Progress: 19.5% Elapsed: 1:48:43 temperature: no ada_p: No Discriminator_loss: 0.712592 Generator_loss: 1.12099
[INFO] 2020-09-18 16:26:21 > Step: 19600 Progress: 19.6% Elapsed: 1:49:11 temperature: no ada_p: No Discriminator_loss: 0.677309 Generator_loss: 0.281651
[INFO] 2020-09-18 16:26:49 > Step: 19700 Progress: 19.7% Elapsed: 1:49:40 temperature: no ada_p: No Discriminator_loss: 0.641789 Generator_loss: 0.895494
[INFO] 2020-09-18 16:27:17 > Step: 19800 Progress: 19.8% Elapsed: 1:50:07 temperature: no ada_p: No Discriminator_loss: 0.557577 Generator_loss: 0.799318
[INFO] 2020-09-18 16:27:46 > Step: 19900 Progress: 19.9% Elapsed: 1:50:36 temperature: no ada_p: No Discriminator_loss: 0.817479 Generator_loss: 1.88103
[INFO] 2020-09-18 16:28:14 > Step: 20000 Progress: 20.0% Elapsed: 1:51:04 temperature: no ada_p: No Discriminator_loss: 0.676913 Generator_loss: 0.863234
[INFO] 2020-09-18 16:28:14 > Start Evaluation (20000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:30:09 > F_8 score (Step: 20000, Using test images): 0.9535346327415938
[INFO] 2020-09-18 16:30:09 > F_1/8 score (Step: 20000, Using test images): 0.9702221580151429
[INFO] 2020-09-18 16:30:09 > FID score (Step: 20000, Using test moments): 22.39482601362289
[INFO] 2020-09-18 16:30:09 > Inception score (Step: 20000, 10000 generated images): 7.911556720733643
[INFO] 2020-09-18 16:30:09 > Best FID score (Step: 18000, Using test moments): 22.322656267191064
[INFO] 2020-09-18 16:30:10 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:30:37 > Step: 20100 Progress: 20.1% Elapsed: 1:53:27 temperature: no ada_p: No Discriminator_loss: 0.520811 Generator_loss: 0.990072
[INFO] 2020-09-18 16:31:05 > Step: 20200 Progress: 20.2% Elapsed: 1:53:56 temperature: no ada_p: No Discriminator_loss: 0.798209 Generator_loss: 1.00992
[INFO] 2020-09-18 16:31:33 > Step: 20300 Progress: 20.3% Elapsed: 1:54:23 temperature: no ada_p: No Discriminator_loss: 1.18023 Generator_loss: 1.07983
[INFO] 2020-09-18 16:32:02 > Step: 20400 Progress: 20.4% Elapsed: 1:54:52 temperature: no ada_p: No Discriminator_loss: 0.810258 Generator_loss: 2.01208
[INFO] 2020-09-18 16:32:30 > Step: 20500 Progress: 20.5% Elapsed: 1:55:20 temperature: no ada_p: No Discriminator_loss: 0.631639 Generator_loss: 1.65273
[INFO] 2020-09-18 16:32:58 > Step: 20600 Progress: 20.6% Elapsed: 1:55:48 temperature: no ada_p: No Discriminator_loss: 0.730124 Generator_loss: 1.58594
[INFO] 2020-09-18 16:33:27 > Step: 20700 Progress: 20.7% Elapsed: 1:56:17 temperature: no ada_p: No Discriminator_loss: 0.590466 Generator_loss: 0.701267
[INFO] 2020-09-18 16:33:55 > Step: 20800 Progress: 20.8% Elapsed: 1:56:45 temperature: no ada_p: No Discriminator_loss: 0.656284 Generator_loss: 1.38477
[INFO] 2020-09-18 16:34:23 > Step: 20900 Progress: 20.9% Elapsed: 1:57:13 temperature: no ada_p: No Discriminator_loss: 0.57503 Generator_loss: 1.50683
[INFO] 2020-09-18 16:34:51 > Step: 21000 Progress: 21.0% Elapsed: 1:57:41 temperature: no ada_p: No Discriminator_loss: 0.548477 Generator_loss: 1.24185
[INFO] 2020-09-18 16:35:19 > Step: 21100 Progress: 21.1% Elapsed: 1:58:09 temperature: no ada_p: No Discriminator_loss: 0.555744 Generator_loss: 1.48901
[INFO] 2020-09-18 16:35:47 > Step: 21200 Progress: 21.2% Elapsed: 1:58:37 temperature: no ada_p: No Discriminator_loss: 0.697856 Generator_loss: 0.904315
[INFO] 2020-09-18 16:36:15 > Step: 21300 Progress: 21.3% Elapsed: 1:59:05 temperature: no ada_p: No Discriminator_loss: 0.920653 Generator_loss: 1.26471
[INFO] 2020-09-18 16:36:43 > Step: 21400 Progress: 21.4% Elapsed: 1:59:33 temperature: no ada_p: No Discriminator_loss: 0.459336 Generator_loss: 0.840019
[INFO] 2020-09-18 16:37:11 > Step: 21500 Progress: 21.5% Elapsed: 2:00:01 temperature: no ada_p: No Discriminator_loss: 0.774959 Generator_loss: 1.16201
[INFO] 2020-09-18 16:37:39 > Step: 21600 Progress: 21.6% Elapsed: 2:00:29 temperature: no ada_p: No Discriminator_loss: 0.670118 Generator_loss: 0.900425
[INFO] 2020-09-18 16:38:07 > Step: 21700 Progress: 21.7% Elapsed: 2:00:57 temperature: no ada_p: No Discriminator_loss: 0.684337 Generator_loss: 1.43536
[INFO] 2020-09-18 16:38:35 > Step: 21800 Progress: 21.8% Elapsed: 2:01:25 temperature: no ada_p: No Discriminator_loss: 0.669705 Generator_loss: 1.53655
[INFO] 2020-09-18 16:39:03 > Step: 21900 Progress: 21.9% Elapsed: 2:01:53 temperature: no ada_p: No Discriminator_loss: 0.816497 Generator_loss: 1.01509
[INFO] 2020-09-18 16:39:31 > Step: 22000 Progress: 22.0% Elapsed: 2:02:21 temperature: no ada_p: No Discriminator_loss: 0.659775 Generator_loss: 1.46225
[INFO] 2020-09-18 16:39:31 > Start Evaluation (22000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:41:23 > F_8 score (Step: 22000, Using test images): 0.9466553925477589
[INFO] 2020-09-18 16:41:23 > F_1/8 score (Step: 22000, Using test images): 0.9624457385135575
[INFO] 2020-09-18 16:41:23 > FID score (Step: 22000, Using test moments): 22.408643547050247
[INFO] 2020-09-18 16:41:23 > Inception score (Step: 22000, 10000 generated images): 8.116973876953125
[INFO] 2020-09-18 16:41:23 > Best FID score (Step: 18000, Using test moments): 22.322656267191064
[INFO] 2020-09-18 16:41:24 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:41:52 > Step: 22100 Progress: 22.1% Elapsed: 2:04:42 temperature: no ada_p: No Discriminator_loss: 0.745173 Generator_loss: 0.862519
[INFO] 2020-09-18 16:42:20 > Step: 22200 Progress: 22.2% Elapsed: 2:05:10 temperature: no ada_p: No Discriminator_loss: 1.05098 Generator_loss: 2.27925
[INFO] 2020-09-18 16:42:48 > Step: 22300 Progress: 22.3% Elapsed: 2:05:38 temperature: no ada_p: No Discriminator_loss: 0.629098 Generator_loss: 0.877536
[INFO] 2020-09-18 16:43:16 > Step: 22400 Progress: 22.4% Elapsed: 2:06:07 temperature: no ada_p: No Discriminator_loss: 0.727875 Generator_loss: 0.649553
[INFO] 2020-09-18 16:43:45 > Step: 22500 Progress: 22.5% Elapsed: 2:06:35 temperature: no ada_p: No Discriminator_loss: 0.59644 Generator_loss: 0.649119
[INFO] 2020-09-18 16:44:13 > Step: 22600 Progress: 22.6% Elapsed: 2:07:03 temperature: no ada_p: No Discriminator_loss: 0.541744 Generator_loss: 0.406121
[INFO] 2020-09-18 16:44:41 > Step: 22700 Progress: 22.7% Elapsed: 2:07:31 temperature: no ada_p: No Discriminator_loss: 0.584519 Generator_loss: 1.47516
[INFO] 2020-09-18 16:45:08 > Step: 22800 Progress: 22.8% Elapsed: 2:07:59 temperature: no ada_p: No Discriminator_loss: 0.569722 Generator_loss: 1.77267
[INFO] 2020-09-18 16:45:36 > Step: 22900 Progress: 22.9% Elapsed: 2:08:27 temperature: no ada_p: No Discriminator_loss: 0.962943 Generator_loss: 1.51085
[INFO] 2020-09-18 16:46:04 > Step: 23000 Progress: 23.0% Elapsed: 2:08:55 temperature: no ada_p: No Discriminator_loss: 0.569466 Generator_loss: 1.02712
[INFO] 2020-09-18 16:46:32 > Step: 23100 Progress: 23.1% Elapsed: 2:09:22 temperature: no ada_p: No Discriminator_loss: 0.560638 Generator_loss: 0.682023
[INFO] 2020-09-18 16:46:59 > Step: 23200 Progress: 23.2% Elapsed: 2:09:50 temperature: no ada_p: No Discriminator_loss: 0.92757 Generator_loss: 2.11204
[INFO] 2020-09-18 16:47:27 > Step: 23300 Progress: 23.3% Elapsed: 2:10:17 temperature: no ada_p: No Discriminator_loss: 0.587394 Generator_loss: 1.75334
[INFO] 2020-09-18 16:47:55 > Step: 23400 Progress: 23.4% Elapsed: 2:10:45 temperature: no ada_p: No Discriminator_loss: 0.946516 Generator_loss: 1.12387
[INFO] 2020-09-18 16:48:23 > Step: 23500 Progress: 23.5% Elapsed: 2:11:13 temperature: no ada_p: No Discriminator_loss: 1.01214 Generator_loss: 0.670196
[INFO] 2020-09-18 16:48:52 > Step: 23600 Progress: 23.6% Elapsed: 2:11:42 temperature: no ada_p: No Discriminator_loss: 0.571501 Generator_loss: 1.2684
[INFO] 2020-09-18 16:49:20 > Step: 23700 Progress: 23.7% Elapsed: 2:12:10 temperature: no ada_p: No Discriminator_loss: 0.670768 Generator_loss: 1.37637
[INFO] 2020-09-18 16:49:49 > Step: 23800 Progress: 23.8% Elapsed: 2:12:39 temperature: no ada_p: No Discriminator_loss: 0.586091 Generator_loss: 1.74611
[INFO] 2020-09-18 16:50:17 > Step: 23900 Progress: 23.9% Elapsed: 2:13:07 temperature: no ada_p: No Discriminator_loss: 0.778636 Generator_loss: 1.40148
[INFO] 2020-09-18 16:50:45 > Step: 24000 Progress: 24.0% Elapsed: 2:13:35 temperature: no ada_p: No Discriminator_loss: 1.05351 Generator_loss: 1.33405
[INFO] 2020-09-18 16:50:45 > Start Evaluation (24000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:52:37 > F_8 score (Step: 24000, Using test images): 0.9408194838623795
[INFO] 2020-09-18 16:52:37 > F_1/8 score (Step: 24000, Using test images): 0.9748096033018808
[INFO] 2020-09-18 16:52:37 > FID score (Step: 24000, Using test moments): 20.14517123996177
[INFO] 2020-09-18 16:52:37 > Inception score (Step: 24000, 10000 generated images): 8.140790939331055
[INFO] 2020-09-18 16:52:37 > Best FID score (Step: 24000, Using test moments): 20.14517123996177
[INFO] 2020-09-18 16:52:39 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 16:53:06 > Step: 24100 Progress: 24.1% Elapsed: 2:15:57 temperature: no ada_p: No Discriminator_loss: 0.582929 Generator_loss: 1.34557
[INFO] 2020-09-18 16:53:34 > Step: 24200 Progress: 24.2% Elapsed: 2:16:24 temperature: no ada_p: No Discriminator_loss: 0.941882 Generator_loss: 0.88907
[INFO] 2020-09-18 16:54:03 > Step: 24300 Progress: 24.3% Elapsed: 2:16:53 temperature: no ada_p: No Discriminator_loss: 0.416293 Generator_loss: 1.41601
[INFO] 2020-09-18 16:54:31 > Step: 24400 Progress: 24.4% Elapsed: 2:17:21 temperature: no ada_p: No Discriminator_loss: 0.885406 Generator_loss: 1.80494
[INFO] 2020-09-18 16:54:59 > Step: 24500 Progress: 24.5% Elapsed: 2:17:49 temperature: no ada_p: No Discriminator_loss: 0.451842 Generator_loss: 1.40327
[INFO] 2020-09-18 16:55:27 > Step: 24600 Progress: 24.6% Elapsed: 2:18:17 temperature: no ada_p: No Discriminator_loss: 0.717559 Generator_loss: 0.49355
[INFO] 2020-09-18 16:55:55 > Step: 24700 Progress: 24.7% Elapsed: 2:18:45 temperature: no ada_p: No Discriminator_loss: 0.556391 Generator_loss: 1.25433
[INFO] 2020-09-18 16:56:23 > Step: 24800 Progress: 24.8% Elapsed: 2:19:13 temperature: no ada_p: No Discriminator_loss: 0.653414 Generator_loss: 1.31262
[INFO] 2020-09-18 16:56:52 > Step: 24900 Progress: 24.9% Elapsed: 2:19:42 temperature: no ada_p: No Discriminator_loss: 0.532774 Generator_loss: 1.90033
[INFO] 2020-09-18 16:57:20 > Step: 25000 Progress: 25.0% Elapsed: 2:20:10 temperature: no ada_p: No Discriminator_loss: 0.705405 Generator_loss: 1.35479
[INFO] 2020-09-18 16:57:48 > Step: 25100 Progress: 25.1% Elapsed: 2:20:38 temperature: no ada_p: No Discriminator_loss: 0.575605 Generator_loss: 0.633069
[INFO] 2020-09-18 16:58:16 > Step: 25200 Progress: 25.2% Elapsed: 2:21:06 temperature: no ada_p: No Discriminator_loss: 0.690979 Generator_loss: 1.41607
[INFO] 2020-09-18 16:58:43 > Step: 25300 Progress: 25.3% Elapsed: 2:21:34 temperature: no ada_p: No Discriminator_loss: 0.940924 Generator_loss: 1.91075
[INFO] 2020-09-18 16:59:11 > Step: 25400 Progress: 25.4% Elapsed: 2:22:02 temperature: no ada_p: No Discriminator_loss: 0.642876 Generator_loss: 1.49771
[INFO] 2020-09-18 16:59:40 > Step: 25500 Progress: 25.5% Elapsed: 2:22:30 temperature: no ada_p: No Discriminator_loss: 0.564814 Generator_loss: 0.756303
[INFO] 2020-09-18 17:00:07 > Step: 25600 Progress: 25.6% Elapsed: 2:22:57 temperature: no ada_p: No Discriminator_loss: 0.567956 Generator_loss: 1.2299
[INFO] 2020-09-18 17:00:36 > Step: 25700 Progress: 25.7% Elapsed: 2:23:26 temperature: no ada_p: No Discriminator_loss: 0.699292 Generator_loss: 1.66526
[INFO] 2020-09-18 17:01:03 > Step: 25800 Progress: 25.8% Elapsed: 2:23:54 temperature: no ada_p: No Discriminator_loss: 0.642245 Generator_loss: 1.91008
[INFO] 2020-09-18 17:01:31 > Step: 25900 Progress: 25.9% Elapsed: 2:24:21 temperature: no ada_p: No Discriminator_loss: 0.527647 Generator_loss: 1.78488
[INFO] 2020-09-18 17:01:59 > Step: 26000 Progress: 26.0% Elapsed: 2:24:49 temperature: no ada_p: No Discriminator_loss: 0.529338 Generator_loss: 1.56573
[INFO] 2020-09-18 17:01:59 > Start Evaluation (26000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:03:53 > F_8 score (Step: 26000, Using test images): 0.9552714870902341
[INFO] 2020-09-18 17:03:53 > F_1/8 score (Step: 26000, Using test images): 0.9736640080469157
[INFO] 2020-09-18 17:03:53 > FID score (Step: 26000, Using test moments): 20.526698741815153
[INFO] 2020-09-18 17:03:53 > Inception score (Step: 26000, 10000 generated images): 7.9411940574646
[INFO] 2020-09-18 17:03:53 > Best FID score (Step: 24000, Using test moments): 20.14517123996177
[INFO] 2020-09-18 17:03:54 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:04:22 > Step: 26100 Progress: 26.1% Elapsed: 2:27:12 temperature: no ada_p: No Discriminator_loss: 0.588256 Generator_loss: 1.38883
[INFO] 2020-09-18 17:04:50 > Step: 26200 Progress: 26.2% Elapsed: 2:27:40 temperature: no ada_p: No Discriminator_loss: 0.526788 Generator_loss: 0.930886
[INFO] 2020-09-18 17:05:18 > Step: 26300 Progress: 26.3% Elapsed: 2:28:08 temperature: no ada_p: No Discriminator_loss: 0.721763 Generator_loss: 1.03066
[INFO] 2020-09-18 17:05:46 > Step: 26400 Progress: 26.4% Elapsed: 2:28:36 temperature: no ada_p: No Discriminator_loss: 0.870375 Generator_loss: 2.03204
[INFO] 2020-09-18 17:06:14 > Step: 26500 Progress: 26.5% Elapsed: 2:29:04 temperature: no ada_p: No Discriminator_loss: 0.689755 Generator_loss: 0.574551
[INFO] 2020-09-18 17:06:42 > Step: 26600 Progress: 26.6% Elapsed: 2:29:32 temperature: no ada_p: No Discriminator_loss: 0.752788 Generator_loss: 1.03219
[INFO] 2020-09-18 17:07:10 > Step: 26700 Progress: 26.7% Elapsed: 2:30:00 temperature: no ada_p: No Discriminator_loss: 0.689159 Generator_loss: 1.32561
[INFO] 2020-09-18 17:07:39 > Step: 26800 Progress: 26.8% Elapsed: 2:30:29 temperature: no ada_p: No Discriminator_loss: 0.516012 Generator_loss: 1.0591
[INFO] 2020-09-18 17:08:07 > Step: 26900 Progress: 26.9% Elapsed: 2:30:57 temperature: no ada_p: No Discriminator_loss: 0.646998 Generator_loss: 0.949549
[INFO] 2020-09-18 17:08:35 > Step: 27000 Progress: 27.0% Elapsed: 2:31:25 temperature: no ada_p: No Discriminator_loss: 1.10242 Generator_loss: 1.67519
[INFO] 2020-09-18 17:09:04 > Step: 27100 Progress: 27.1% Elapsed: 2:31:54 temperature: no ada_p: No Discriminator_loss: 0.71437 Generator_loss: 1.43348
[INFO] 2020-09-18 17:09:32 > Step: 27200 Progress: 27.2% Elapsed: 2:32:22 temperature: no ada_p: No Discriminator_loss: 0.567212 Generator_loss: 0.997818
[INFO] 2020-09-18 17:10:00 > Step: 27300 Progress: 27.3% Elapsed: 2:32:50 temperature: no ada_p: No Discriminator_loss: 0.670411 Generator_loss: 1.40106
[INFO] 2020-09-18 17:10:28 > Step: 27400 Progress: 27.4% Elapsed: 2:33:18 temperature: no ada_p: No Discriminator_loss: 0.749935 Generator_loss: 2.28665
[INFO] 2020-09-18 17:10:56 > Step: 27500 Progress: 27.5% Elapsed: 2:33:46 temperature: no ada_p: No Discriminator_loss: 0.745013 Generator_loss: 0.841995
[INFO] 2020-09-18 17:11:24 > Step: 27600 Progress: 27.6% Elapsed: 2:34:14 temperature: no ada_p: No Discriminator_loss: 0.647606 Generator_loss: 1.32933
[INFO] 2020-09-18 17:11:52 > Step: 27700 Progress: 27.7% Elapsed: 2:34:42 temperature: no ada_p: No Discriminator_loss: 0.511363 Generator_loss: 1.12516
[INFO] 2020-09-18 17:12:20 > Step: 27800 Progress: 27.8% Elapsed: 2:35:10 temperature: no ada_p: No Discriminator_loss: 0.784016 Generator_loss: 0.429894
[INFO] 2020-09-18 17:12:48 > Step: 27900 Progress: 27.9% Elapsed: 2:35:38 temperature: no ada_p: No Discriminator_loss: 0.6352 Generator_loss: 1.25333
[INFO] 2020-09-18 17:13:16 > Step: 28000 Progress: 28.0% Elapsed: 2:36:06 temperature: no ada_p: No Discriminator_loss: 0.819237 Generator_loss: 0.752529
[INFO] 2020-09-18 17:13:16 > Start Evaluation (28000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:15:11 > F_8 score (Step: 28000, Using test images): 0.9537907939393168
[INFO] 2020-09-18 17:15:11 > F_1/8 score (Step: 28000, Using test images): 0.9721949977233582
[INFO] 2020-09-18 17:15:11 > FID score (Step: 28000, Using test moments): 20.405692922079197
[INFO] 2020-09-18 17:15:11 > Inception score (Step: 28000, 10000 generated images): 8.16557788848877
[INFO] 2020-09-18 17:15:11 > Best FID score (Step: 24000, Using test moments): 20.14517123996177
[INFO] 2020-09-18 17:15:11 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:15:39 > Step: 28100 Progress: 28.1% Elapsed: 2:38:29 temperature: no ada_p: No Discriminator_loss: 0.594644 Generator_loss: 0.874362
[INFO] 2020-09-18 17:16:07 > Step: 28200 Progress: 28.2% Elapsed: 2:38:57 temperature: no ada_p: No Discriminator_loss: 0.499371 Generator_loss: 0.933119
[INFO] 2020-09-18 17:16:35 > Step: 28300 Progress: 28.3% Elapsed: 2:39:25 temperature: no ada_p: No Discriminator_loss: 0.661514 Generator_loss: 0.516202
[INFO] 2020-09-18 17:17:03 > Step: 28400 Progress: 28.4% Elapsed: 2:39:53 temperature: no ada_p: No Discriminator_loss: 0.674805 Generator_loss: 1.28236
[INFO] 2020-09-18 17:17:31 > Step: 28500 Progress: 28.5% Elapsed: 2:40:22 temperature: no ada_p: No Discriminator_loss: 0.84361 Generator_loss: 1.69381
[INFO] 2020-09-18 17:18:00 > Step: 28600 Progress: 28.6% Elapsed: 2:40:50 temperature: no ada_p: No Discriminator_loss: 0.602487 Generator_loss: 0.765818
[INFO] 2020-09-18 17:18:28 > Step: 28700 Progress: 28.7% Elapsed: 2:41:18 temperature: no ada_p: No Discriminator_loss: 0.671388 Generator_loss: 1.08072
[INFO] 2020-09-18 17:18:56 > Step: 28800 Progress: 28.8% Elapsed: 2:41:46 temperature: no ada_p: No Discriminator_loss: 0.578738 Generator_loss: 0.846173
[INFO] 2020-09-18 17:19:24 > Step: 28900 Progress: 28.9% Elapsed: 2:42:15 temperature: no ada_p: No Discriminator_loss: 0.734072 Generator_loss: 0.948909
[INFO] 2020-09-18 17:19:52 > Step: 29000 Progress: 29.0% Elapsed: 2:42:42 temperature: no ada_p: No Discriminator_loss: 0.503327 Generator_loss: 1.76281
[INFO] 2020-09-18 17:20:20 > Step: 29100 Progress: 29.1% Elapsed: 2:43:10 temperature: no ada_p: No Discriminator_loss: 0.685428 Generator_loss: 1.03863
[INFO] 2020-09-18 17:20:48 > Step: 29200 Progress: 29.2% Elapsed: 2:43:38 temperature: no ada_p: No Discriminator_loss: 0.824001 Generator_loss: 1.06526
[INFO] 2020-09-18 17:21:17 > Step: 29300 Progress: 29.3% Elapsed: 2:44:07 temperature: no ada_p: No Discriminator_loss: 0.60165 Generator_loss: 1.44786
[INFO] 2020-09-18 17:21:45 > Step: 29400 Progress: 29.4% Elapsed: 2:44:35 temperature: no ada_p: No Discriminator_loss: 0.648465 Generator_loss: 0.895831
[INFO] 2020-09-18 17:22:12 > Step: 29500 Progress: 29.5% Elapsed: 2:45:03 temperature: no ada_p: No Discriminator_loss: 0.781434 Generator_loss: 1.69605
[INFO] 2020-09-18 17:22:41 > Step: 29600 Progress: 29.6% Elapsed: 2:45:31 temperature: no ada_p: No Discriminator_loss: 0.737031 Generator_loss: 2.56743
[INFO] 2020-09-18 17:23:09 > Step: 29700 Progress: 29.7% Elapsed: 2:45:59 temperature: no ada_p: No Discriminator_loss: 0.698075 Generator_loss: 1.08109
[INFO] 2020-09-18 17:23:36 > Step: 29800 Progress: 29.8% Elapsed: 2:46:27 temperature: no ada_p: No Discriminator_loss: 0.750565 Generator_loss: 1.96637
[INFO] 2020-09-18 17:24:05 > Step: 29900 Progress: 29.9% Elapsed: 2:46:55 temperature: no ada_p: No Discriminator_loss: 0.806519 Generator_loss: 1.85897
[INFO] 2020-09-18 17:24:33 > Step: 30000 Progress: 30.0% Elapsed: 2:47:23 temperature: no ada_p: No Discriminator_loss: 0.649832 Generator_loss: 1.9178
[INFO] 2020-09-18 17:24:33 > Start Evaluation (30000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:26:27 > F_8 score (Step: 30000, Using test images): 0.9572799630927716
[INFO] 2020-09-18 17:26:27 > F_1/8 score (Step: 30000, Using test images): 0.9802299445246646
[INFO] 2020-09-18 17:26:27 > FID score (Step: 30000, Using test moments): 18.16697525861531
[INFO] 2020-09-18 17:26:27 > Inception score (Step: 30000, 10000 generated images): 8.286447525024414
[INFO] 2020-09-18 17:26:27 > Best FID score (Step: 30000, Using test moments): 18.16697525861531
[INFO] 2020-09-18 17:26:29 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:26:55 > Step: 30100 Progress: 30.1% Elapsed: 2:49:45 temperature: no ada_p: No Discriminator_loss: 0.527849 Generator_loss: 1.27217
[INFO] 2020-09-18 17:27:23 > Step: 30200 Progress: 30.2% Elapsed: 2:50:13 temperature: no ada_p: No Discriminator_loss: 0.771589 Generator_loss: 1.48058
[INFO] 2020-09-18 17:27:50 > Step: 30300 Progress: 30.3% Elapsed: 2:50:40 temperature: no ada_p: No Discriminator_loss: 0.706142 Generator_loss: 1.94637
[INFO] 2020-09-18 17:28:18 > Step: 30400 Progress: 30.4% Elapsed: 2:51:08 temperature: no ada_p: No Discriminator_loss: 0.818363 Generator_loss: 2.1539
[INFO] 2020-09-18 17:28:46 > Step: 30500 Progress: 30.5% Elapsed: 2:51:36 temperature: no ada_p: No Discriminator_loss: 0.777634 Generator_loss: 1.69746
[INFO] 2020-09-18 17:29:14 > Step: 30600 Progress: 30.6% Elapsed: 2:52:05 temperature: no ada_p: No Discriminator_loss: 0.729113 Generator_loss: 0.885257
[INFO] 2020-09-18 17:29:43 > Step: 30700 Progress: 30.7% Elapsed: 2:52:33 temperature: no ada_p: No Discriminator_loss: 0.82048 Generator_loss: 0.605925
[INFO] 2020-09-18 17:30:11 > Step: 30800 Progress: 30.8% Elapsed: 2:53:01 temperature: no ada_p: No Discriminator_loss: 0.46322 Generator_loss: 1.25357
[INFO] 2020-09-18 17:30:39 > Step: 30900 Progress: 30.9% Elapsed: 2:53:29 temperature: no ada_p: No Discriminator_loss: 0.795184 Generator_loss: 0.656527
[INFO] 2020-09-18 17:31:07 > Step: 31000 Progress: 31.0% Elapsed: 2:53:57 temperature: no ada_p: No Discriminator_loss: 0.512379 Generator_loss: 1.214
[INFO] 2020-09-18 17:31:36 > Step: 31100 Progress: 31.1% Elapsed: 2:54:26 temperature: no ada_p: No Discriminator_loss: 0.544036 Generator_loss: 1.52439
[INFO] 2020-09-18 17:32:04 > Step: 31200 Progress: 31.2% Elapsed: 2:54:54 temperature: no ada_p: No Discriminator_loss: 0.756492 Generator_loss: 0.822258
[INFO] 2020-09-18 17:32:32 > Step: 31300 Progress: 31.3% Elapsed: 2:55:22 temperature: no ada_p: No Discriminator_loss: 0.897274 Generator_loss: 0.644989
[INFO] 2020-09-18 17:33:00 > Step: 31400 Progress: 31.4% Elapsed: 2:55:51 temperature: no ada_p: No Discriminator_loss: 0.721707 Generator_loss: 1.56686
[INFO] 2020-09-18 17:33:28 > Step: 31500 Progress: 31.5% Elapsed: 2:56:18 temperature: no ada_p: No Discriminator_loss: 0.736499 Generator_loss: 0.844691
[INFO] 2020-09-18 17:33:56 > Step: 31600 Progress: 31.6% Elapsed: 2:56:46 temperature: no ada_p: No Discriminator_loss: 0.712322 Generator_loss: 1.39383
[INFO] 2020-09-18 17:34:23 > Step: 31700 Progress: 31.7% Elapsed: 2:57:13 temperature: no ada_p: No Discriminator_loss: 0.532176 Generator_loss: 1.73851
[INFO] 2020-09-18 17:34:52 > Step: 31800 Progress: 31.8% Elapsed: 2:57:42 temperature: no ada_p: No Discriminator_loss: 0.736904 Generator_loss: 0.447946
[INFO] 2020-09-18 17:35:20 > Step: 31900 Progress: 31.9% Elapsed: 2:58:10 temperature: no ada_p: No Discriminator_loss: 0.681854 Generator_loss: 1.42786
[INFO] 2020-09-18 17:35:48 > Step: 32000 Progress: 32.0% Elapsed: 2:58:38 temperature: no ada_p: No Discriminator_loss: 1.0444 Generator_loss: 0.972651
[INFO] 2020-09-18 17:35:48 > Start Evaluation (32000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:37:43 > F_8 score (Step: 32000, Using test images): 0.9535171488462295
[INFO] 2020-09-18 17:37:43 > F_1/8 score (Step: 32000, Using test images): 0.975690370375172
[INFO] 2020-09-18 17:37:43 > FID score (Step: 32000, Using test moments): 18.721063945672768
[INFO] 2020-09-18 17:37:43 > Inception score (Step: 32000, 10000 generated images): 8.1564359664917
[INFO] 2020-09-18 17:37:43 > Best FID score (Step: 30000, Using test moments): 18.16697525861531
[INFO] 2020-09-18 17:37:44 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:38:11 > Step: 32100 Progress: 32.1% Elapsed: 3:01:01 temperature: no ada_p: No Discriminator_loss: 0.681721 Generator_loss: 1.24774
[INFO] 2020-09-18 17:38:39 > Step: 32200 Progress: 32.2% Elapsed: 3:01:30 temperature: no ada_p: No Discriminator_loss: 0.684276 Generator_loss: 0.719831
[INFO] 2020-09-18 17:39:07 > Step: 32300 Progress: 32.3% Elapsed: 3:01:58 temperature: no ada_p: No Discriminator_loss: 0.512773 Generator_loss: 1.09866
[INFO] 2020-09-18 17:39:36 > Step: 32400 Progress: 32.4% Elapsed: 3:02:26 temperature: no ada_p: No Discriminator_loss: 0.529157 Generator_loss: 1.00033
[INFO] 2020-09-18 17:40:04 > Step: 32500 Progress: 32.5% Elapsed: 3:02:54 temperature: no ada_p: No Discriminator_loss: 0.747722 Generator_loss: 0.417301
[INFO] 2020-09-18 17:40:31 > Step: 32600 Progress: 32.6% Elapsed: 3:03:21 temperature: no ada_p: No Discriminator_loss: 0.586383 Generator_loss: 1.01993
[INFO] 2020-09-18 17:41:00 > Step: 32700 Progress: 32.7% Elapsed: 3:03:50 temperature: no ada_p: No Discriminator_loss: 0.883204 Generator_loss: 1.79781
[INFO] 2020-09-18 17:41:28 > Step: 32800 Progress: 32.8% Elapsed: 3:04:18 temperature: no ada_p: No Discriminator_loss: 0.576725 Generator_loss: 0.445692
[INFO] 2020-09-18 17:41:57 > Step: 32900 Progress: 32.9% Elapsed: 3:04:47 temperature: no ada_p: No Discriminator_loss: 0.728709 Generator_loss: 1.53223
[INFO] 2020-09-18 17:42:25 > Step: 33000 Progress: 33.0% Elapsed: 3:05:15 temperature: no ada_p: No Discriminator_loss: 0.654897 Generator_loss: 2.01045
[INFO] 2020-09-18 17:42:53 > Step: 33100 Progress: 33.1% Elapsed: 3:05:43 temperature: no ada_p: No Discriminator_loss: 0.821458 Generator_loss: 1.92508
[INFO] 2020-09-18 17:43:22 > Step: 33200 Progress: 33.2% Elapsed: 3:06:12 temperature: no ada_p: No Discriminator_loss: 0.509306 Generator_loss: 0.396263
[INFO] 2020-09-18 17:43:50 > Step: 33300 Progress: 33.3% Elapsed: 3:06:40 temperature: no ada_p: No Discriminator_loss: 0.610844 Generator_loss: 1.6089
[INFO] 2020-09-18 17:44:18 > Step: 33400 Progress: 33.4% Elapsed: 3:07:08 temperature: no ada_p: No Discriminator_loss: 0.861749 Generator_loss: 1.82446
[INFO] 2020-09-18 17:44:46 > Step: 33500 Progress: 33.5% Elapsed: 3:07:36 temperature: no ada_p: No Discriminator_loss: 0.650719 Generator_loss: 1.0879
[INFO] 2020-09-18 17:45:15 > Step: 33600 Progress: 33.6% Elapsed: 3:08:05 temperature: no ada_p: No Discriminator_loss: 0.779524 Generator_loss: 2.06504
[INFO] 2020-09-18 17:45:43 > Step: 33700 Progress: 33.7% Elapsed: 3:08:33 temperature: no ada_p: No Discriminator_loss: 0.97567 Generator_loss: 2.06284
[INFO] 2020-09-18 17:46:11 > Step: 33800 Progress: 33.8% Elapsed: 3:09:01 temperature: no ada_p: No Discriminator_loss: 0.556909 Generator_loss: 1.12939
[INFO] 2020-09-18 17:46:39 > Step: 33900 Progress: 33.9% Elapsed: 3:09:29 temperature: no ada_p: No Discriminator_loss: 0.591873 Generator_loss: 1.51299
[INFO] 2020-09-18 17:47:07 > Step: 34000 Progress: 34.0% Elapsed: 3:09:57 temperature: no ada_p: No Discriminator_loss: 0.73134 Generator_loss: 0.388229
[INFO] 2020-09-18 17:47:07 > Start Evaluation (34000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:49:02 > F_8 score (Step: 34000, Using test images): 0.9710316232667648
[INFO] 2020-09-18 17:49:02 > F_1/8 score (Step: 34000, Using test images): 0.9801901784528134
[INFO] 2020-09-18 17:49:02 > FID score (Step: 34000, Using test moments): 17.292116345858517
[INFO] 2020-09-18 17:49:02 > Inception score (Step: 34000, 10000 generated images): 8.260906219482422
[INFO] 2020-09-18 17:49:02 > Best FID score (Step: 34000, Using test moments): 17.292116345858517
[INFO] 2020-09-18 17:49:04 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 17:49:32 > Step: 34100 Progress: 34.1% Elapsed: 3:12:22 temperature: no ada_p: No Discriminator_loss: 0.583597 Generator_loss: 1.13202
[INFO] 2020-09-18 17:49:59 > Step: 34200 Progress: 34.2% Elapsed: 3:12:49 temperature: no ada_p: No Discriminator_loss: 0.606809 Generator_loss: 0.840525
[INFO] 2020-09-18 17:50:28 > Step: 34300 Progress: 34.3% Elapsed: 3:13:18 temperature: no ada_p: No Discriminator_loss: 0.530028 Generator_loss: 0.843022
[INFO] 2020-09-18 17:50:56 > Step: 34400 Progress: 34.4% Elapsed: 3:13:46 temperature: no ada_p: No Discriminator_loss: 0.638812 Generator_loss: 0.663168
[INFO] 2020-09-18 17:51:24 > Step: 34500 Progress: 34.5% Elapsed: 3:14:14 temperature: no ada_p: No Discriminator_loss: 0.551554 Generator_loss: 1.82668
[INFO] 2020-09-18 17:51:53 > Step: 34600 Progress: 34.6% Elapsed: 3:14:43 temperature: no ada_p: No Discriminator_loss: 0.681841 Generator_loss: 1.49529
[INFO] 2020-09-18 17:52:21 > Step: 34700 Progress: 34.7% Elapsed: 3:15:11 temperature: no ada_p: No Discriminator_loss: 0.417457 Generator_loss: 1.5976
[INFO] 2020-09-18 17:52:49 > Step: 34800 Progress: 34.8% Elapsed: 3:15:39 temperature: no ada_p: No Discriminator_loss: 0.878367 Generator_loss: 1.41376
[INFO] 2020-09-18 17:53:17 > Step: 34900 Progress: 34.9% Elapsed: 3:16:07 temperature: no ada_p: No Discriminator_loss: 0.555401 Generator_loss: 1.08788
[INFO] 2020-09-18 17:53:45 > Step: 35000 Progress: 35.0% Elapsed: 3:16:35 temperature: no ada_p: No Discriminator_loss: 0.697269 Generator_loss: 1.25485
[INFO] 2020-09-18 17:54:13 > Step: 35100 Progress: 35.1% Elapsed: 3:17:03 temperature: no ada_p: No Discriminator_loss: 0.730743 Generator_loss: 1.70161
[INFO] 2020-09-18 17:54:41 > Step: 35200 Progress: 35.2% Elapsed: 3:17:31 temperature: no ada_p: No Discriminator_loss: 0.705829 Generator_loss: 1.24671
[INFO] 2020-09-18 17:55:09 > Step: 35300 Progress: 35.3% Elapsed: 3:17:59 temperature: no ada_p: No Discriminator_loss: 0.887103 Generator_loss: 0.226889
[INFO] 2020-09-18 17:55:37 > Step: 35400 Progress: 35.4% Elapsed: 3:18:27 temperature: no ada_p: No Discriminator_loss: 0.667558 Generator_loss: 1.15384
[INFO] 2020-09-18 17:56:05 > Step: 35500 Progress: 35.5% Elapsed: 3:18:55 temperature: no ada_p: No Discriminator_loss: 0.729467 Generator_loss: 0.701925
[INFO] 2020-09-18 17:56:33 > Step: 35600 Progress: 35.6% Elapsed: 3:19:23 temperature: no ada_p: No Discriminator_loss: 0.99646 Generator_loss: 0.548857
[INFO] 2020-09-18 17:57:01 > Step: 35700 Progress: 35.7% Elapsed: 3:19:51 temperature: no ada_p: No Discriminator_loss: 0.858235 Generator_loss: 1.34267
[INFO] 2020-09-18 17:57:29 > Step: 35800 Progress: 35.8% Elapsed: 3:20:19 temperature: no ada_p: No Discriminator_loss: 0.73247 Generator_loss: 0.8808
[INFO] 2020-09-18 17:57:56 > Step: 35900 Progress: 35.9% Elapsed: 3:20:47 temperature: no ada_p: No Discriminator_loss: 0.968314 Generator_loss: 1.53377
[INFO] 2020-09-18 17:58:24 > Step: 36000 Progress: 36.0% Elapsed: 3:21:15 temperature: no ada_p: No Discriminator_loss: 0.574054 Generator_loss: 1.34534
[INFO] 2020-09-18 17:58:24 > Start Evaluation (36000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:00:18 > F_8 score (Step: 36000, Using test images): 0.9652183244668459
[INFO] 2020-09-18 18:00:18 > F_1/8 score (Step: 36000, Using test images): 0.9719760265001359
[INFO] 2020-09-18 18:00:18 > FID score (Step: 36000, Using test moments): 18.582036014725304
[INFO] 2020-09-18 18:00:18 > Inception score (Step: 36000, 10000 generated images): 8.180285453796387
[INFO] 2020-09-18 18:00:18 > Best FID score (Step: 34000, Using test moments): 17.292116345858517
[INFO] 2020-09-18 18:00:19 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:00:46 > Step: 36100 Progress: 36.1% Elapsed: 3:23:36 temperature: no ada_p: No Discriminator_loss: 0.667474 Generator_loss: 0.602163
[INFO] 2020-09-18 18:01:14 > Step: 36200 Progress: 36.2% Elapsed: 3:24:04 temperature: no ada_p: No Discriminator_loss: 0.824416 Generator_loss: 2.28173
[INFO] 2020-09-18 18:01:42 > Step: 36300 Progress: 36.3% Elapsed: 3:24:32 temperature: no ada_p: No Discriminator_loss: 0.589648 Generator_loss: 1.05524
[INFO] 2020-09-18 18:02:10 > Step: 36400 Progress: 36.4% Elapsed: 3:25:00 temperature: no ada_p: No Discriminator_loss: 0.630062 Generator_loss: 1.11691
[INFO] 2020-09-18 18:02:38 > Step: 36500 Progress: 36.5% Elapsed: 3:25:28 temperature: no ada_p: No Discriminator_loss: 0.657321 Generator_loss: 1.33878
[INFO] 2020-09-18 18:03:06 > Step: 36600 Progress: 36.6% Elapsed: 3:25:56 temperature: no ada_p: No Discriminator_loss: 0.5834 Generator_loss: 1.09307
[INFO] 2020-09-18 18:03:34 > Step: 36700 Progress: 36.7% Elapsed: 3:26:24 temperature: no ada_p: No Discriminator_loss: 1.21473 Generator_loss: 1.94327
[INFO] 2020-09-18 18:04:02 > Step: 36800 Progress: 36.8% Elapsed: 3:26:52 temperature: no ada_p: No Discriminator_loss: 0.655033 Generator_loss: 1.21359
[INFO] 2020-09-18 18:04:30 > Step: 36900 Progress: 36.9% Elapsed: 3:27:20 temperature: no ada_p: No Discriminator_loss: 0.495564 Generator_loss: 1.4755
[INFO] 2020-09-18 18:04:58 > Step: 37000 Progress: 37.0% Elapsed: 3:27:48 temperature: no ada_p: No Discriminator_loss: 0.557422 Generator_loss: 1.44391
[INFO] 2020-09-18 18:05:26 > Step: 37100 Progress: 37.1% Elapsed: 3:28:16 temperature: no ada_p: No Discriminator_loss: 0.615575 Generator_loss: 1.22079
[INFO] 2020-09-18 18:05:54 > Step: 37200 Progress: 37.2% Elapsed: 3:28:44 temperature: no ada_p: No Discriminator_loss: 0.509183 Generator_loss: 1.71302
[INFO] 2020-09-18 18:06:22 > Step: 37300 Progress: 37.3% Elapsed: 3:29:12 temperature: no ada_p: No Discriminator_loss: 0.727167 Generator_loss: 0.49094
[INFO] 2020-09-18 18:06:50 > Step: 37400 Progress: 37.4% Elapsed: 3:29:40 temperature: no ada_p: No Discriminator_loss: 0.884271 Generator_loss: 2.17147
[INFO] 2020-09-18 18:07:18 > Step: 37500 Progress: 37.5% Elapsed: 3:30:08 temperature: no ada_p: No Discriminator_loss: 0.979524 Generator_loss: 0.527042
[INFO] 2020-09-18 18:07:45 > Step: 37600 Progress: 37.6% Elapsed: 3:30:35 temperature: no ada_p: No Discriminator_loss: 0.597959 Generator_loss: 1.11189
[INFO] 2020-09-18 18:08:13 > Step: 37700 Progress: 37.7% Elapsed: 3:31:03 temperature: no ada_p: No Discriminator_loss: 0.832628 Generator_loss: 1.55788
[INFO] 2020-09-18 18:08:40 > Step: 37800 Progress: 37.8% Elapsed: 3:31:30 temperature: no ada_p: No Discriminator_loss: 0.740008 Generator_loss: 1.67171
[INFO] 2020-09-18 18:09:08 > Step: 37900 Progress: 37.9% Elapsed: 3:31:58 temperature: no ada_p: No Discriminator_loss: 1.17521 Generator_loss: 1.24691
[INFO] 2020-09-18 18:09:36 > Step: 38000 Progress: 38.0% Elapsed: 3:32:26 temperature: no ada_p: No Discriminator_loss: 0.62429 Generator_loss: 1.26442
[INFO] 2020-09-18 18:09:36 > Start Evaluation (38000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:11:32 > F_8 score (Step: 38000, Using test images): 0.9693934172645587
[INFO] 2020-09-18 18:11:32 > F_1/8 score (Step: 38000, Using test images): 0.9803883309798539
[INFO] 2020-09-18 18:11:32 > FID score (Step: 38000, Using test moments): 17.36951233252404
[INFO] 2020-09-18 18:11:32 > Inception score (Step: 38000, 10000 generated images): 8.62983226776123
[INFO] 2020-09-18 18:11:32 > Best FID score (Step: 34000, Using test moments): 17.292116345858517
[INFO] 2020-09-18 18:11:33 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:12:00 > Step: 38100 Progress: 38.1% Elapsed: 3:34:50 temperature: no ada_p: No Discriminator_loss: 0.754496 Generator_loss: 0.801155
[INFO] 2020-09-18 18:12:28 > Step: 38200 Progress: 38.2% Elapsed: 3:35:18 temperature: no ada_p: No Discriminator_loss: 0.609287 Generator_loss: 1.39341
[INFO] 2020-09-18 18:12:57 > Step: 38300 Progress: 38.3% Elapsed: 3:35:47 temperature: no ada_p: No Discriminator_loss: 0.736575 Generator_loss: 1.47669
[INFO] 2020-09-18 18:13:25 > Step: 38400 Progress: 38.4% Elapsed: 3:36:15 temperature: no ada_p: No Discriminator_loss: 0.846762 Generator_loss: 1.23482
[INFO] 2020-09-18 18:13:53 > Step: 38500 Progress: 38.5% Elapsed: 3:36:43 temperature: no ada_p: No Discriminator_loss: 0.769631 Generator_loss: 0.737413
[INFO] 2020-09-18 18:14:22 > Step: 38600 Progress: 38.6% Elapsed: 3:37:12 temperature: no ada_p: No Discriminator_loss: 0.57075 Generator_loss: 1.91284
[INFO] 2020-09-18 18:14:49 > Step: 38700 Progress: 38.7% Elapsed: 3:37:39 temperature: no ada_p: No Discriminator_loss: 0.811839 Generator_loss: 1.41316
[INFO] 2020-09-18 18:15:18 > Step: 38800 Progress: 38.8% Elapsed: 3:38:08 temperature: no ada_p: No Discriminator_loss: 0.629993 Generator_loss: 1.12254
[INFO] 2020-09-18 18:15:46 > Step: 38900 Progress: 38.9% Elapsed: 3:38:36 temperature: no ada_p: No Discriminator_loss: 0.621587 Generator_loss: 1.7796
[INFO] 2020-09-18 18:16:13 > Step: 39000 Progress: 39.0% Elapsed: 3:39:03 temperature: no ada_p: No Discriminator_loss: 0.618623 Generator_loss: 1.85521
[INFO] 2020-09-18 18:16:41 > Step: 39100 Progress: 39.1% Elapsed: 3:39:32 temperature: no ada_p: No Discriminator_loss: 0.525146 Generator_loss: 1.45995
[INFO] 2020-09-18 18:17:09 > Step: 39200 Progress: 39.2% Elapsed: 3:39:59 temperature: no ada_p: No Discriminator_loss: 0.444961 Generator_loss: 1.05917
[INFO] 2020-09-18 18:17:37 > Step: 39300 Progress: 39.3% Elapsed: 3:40:27 temperature: no ada_p: No Discriminator_loss: 0.580713 Generator_loss: 1.65688
[INFO] 2020-09-18 18:18:05 > Step: 39400 Progress: 39.4% Elapsed: 3:40:55 temperature: no ada_p: No Discriminator_loss: 0.567954 Generator_loss: 1.03108
[INFO] 2020-09-18 18:18:33 > Step: 39500 Progress: 39.5% Elapsed: 3:41:23 temperature: no ada_p: No Discriminator_loss: 0.854422 Generator_loss: 0.510346
[INFO] 2020-09-18 18:19:01 > Step: 39600 Progress: 39.6% Elapsed: 3:41:51 temperature: no ada_p: No Discriminator_loss: 0.651376 Generator_loss: 1.84224
[INFO] 2020-09-18 18:19:29 > Step: 39700 Progress: 39.7% Elapsed: 3:42:20 temperature: no ada_p: No Discriminator_loss: 0.728045 Generator_loss: 1.06758
[INFO] 2020-09-18 18:19:57 > Step: 39800 Progress: 39.8% Elapsed: 3:42:47 temperature: no ada_p: No Discriminator_loss: 0.813725 Generator_loss: 0.204396
[INFO] 2020-09-18 18:20:26 > Step: 39900 Progress: 39.9% Elapsed: 3:43:16 temperature: no ada_p: No Discriminator_loss: 0.710242 Generator_loss: 1.05209
[INFO] 2020-09-18 18:20:54 > Step: 40000 Progress: 40.0% Elapsed: 3:43:44 temperature: no ada_p: No Discriminator_loss: 0.868439 Generator_loss: 0.480622
[INFO] 2020-09-18 18:20:54 > Start Evaluation (40000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:22:48 > F_8 score (Step: 40000, Using test images): 0.9661394665350956
[INFO] 2020-09-18 18:22:48 > F_1/8 score (Step: 40000, Using test images): 0.9800619869779328
[INFO] 2020-09-18 18:22:48 > FID score (Step: 40000, Using test moments): 18.123552297949402
[INFO] 2020-09-18 18:22:48 > Inception score (Step: 40000, 10000 generated images): 8.366097450256348
[INFO] 2020-09-18 18:22:48 > Best FID score (Step: 34000, Using test moments): 17.292116345858517
[INFO] 2020-09-18 18:22:49 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:23:17 > Step: 40100 Progress: 40.1% Elapsed: 3:46:07 temperature: no ada_p: No Discriminator_loss: 0.82253 Generator_loss: 1.06208
[INFO] 2020-09-18 18:23:45 > Step: 40200 Progress: 40.2% Elapsed: 3:46:35 temperature: no ada_p: No Discriminator_loss: 0.605539 Generator_loss: 1.27771
[INFO] 2020-09-18 18:24:13 > Step: 40300 Progress: 40.3% Elapsed: 3:47:03 temperature: no ada_p: No Discriminator_loss: 0.588743 Generator_loss: 1.36476
[INFO] 2020-09-18 18:24:41 > Step: 40400 Progress: 40.4% Elapsed: 3:47:31 temperature: no ada_p: No Discriminator_loss: 0.643133 Generator_loss: 1.38305
[INFO] 2020-09-18 18:25:09 > Step: 40500 Progress: 40.5% Elapsed: 3:47:59 temperature: no ada_p: No Discriminator_loss: 0.672711 Generator_loss: 1.17807
[INFO] 2020-09-18 18:25:37 > Step: 40600 Progress: 40.6% Elapsed: 3:48:27 temperature: no ada_p: No Discriminator_loss: 0.6953 Generator_loss: 1.7298
[INFO] 2020-09-18 18:26:05 > Step: 40700 Progress: 40.7% Elapsed: 3:48:55 temperature: no ada_p: No Discriminator_loss: 0.801913 Generator_loss: 1.01801
[INFO] 2020-09-18 18:26:34 > Step: 40800 Progress: 40.8% Elapsed: 3:49:24 temperature: no ada_p: No Discriminator_loss: 0.858972 Generator_loss: 0.840414
[INFO] 2020-09-18 18:27:02 > Step: 40900 Progress: 40.9% Elapsed: 3:49:52 temperature: no ada_p: No Discriminator_loss: 0.762378 Generator_loss: 1.70396
[INFO] 2020-09-18 18:27:30 > Step: 41000 Progress: 41.0% Elapsed: 3:50:20 temperature: no ada_p: No Discriminator_loss: 1.26337 Generator_loss: 2.16959
[INFO] 2020-09-18 18:27:58 > Step: 41100 Progress: 41.1% Elapsed: 3:50:48 temperature: no ada_p: No Discriminator_loss: 0.605184 Generator_loss: 1.47775
[INFO] 2020-09-18 18:28:26 > Step: 41200 Progress: 41.2% Elapsed: 3:51:16 temperature: no ada_p: No Discriminator_loss: 1.08494 Generator_loss: 0.668378
[INFO] 2020-09-18 18:28:55 > Step: 41300 Progress: 41.3% Elapsed: 3:51:45 temperature: no ada_p: No Discriminator_loss: 0.69906 Generator_loss: 1.44376
[INFO] 2020-09-18 18:29:23 > Step: 41400 Progress: 41.4% Elapsed: 3:52:13 temperature: no ada_p: No Discriminator_loss: 0.601223 Generator_loss: 1.50773
[INFO] 2020-09-18 18:29:51 > Step: 41500 Progress: 41.5% Elapsed: 3:52:41 temperature: no ada_p: No Discriminator_loss: 0.465381 Generator_loss: 0.900644
[INFO] 2020-09-18 18:30:19 > Step: 41600 Progress: 41.6% Elapsed: 3:53:09 temperature: no ada_p: No Discriminator_loss: 0.420328 Generator_loss: 0.675065
[INFO] 2020-09-18 18:30:46 > Step: 41700 Progress: 41.7% Elapsed: 3:53:36 temperature: no ada_p: No Discriminator_loss: 0.577883 Generator_loss: 1.83554
[INFO] 2020-09-18 18:31:15 > Step: 41800 Progress: 41.8% Elapsed: 3:54:05 temperature: no ada_p: No Discriminator_loss: 0.756321 Generator_loss: 2.56343
[INFO] 2020-09-18 18:31:43 > Step: 41900 Progress: 41.9% Elapsed: 3:54:33 temperature: no ada_p: No Discriminator_loss: 0.645645 Generator_loss: 1.38888
[INFO] 2020-09-18 18:32:11 > Step: 42000 Progress: 42.0% Elapsed: 3:55:01 temperature: no ada_p: No Discriminator_loss: 0.602916 Generator_loss: 1.87666
[INFO] 2020-09-18 18:32:11 > Start Evaluation (42000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:34:05 > F_8 score (Step: 42000, Using test images): 0.9693744730077908
[INFO] 2020-09-18 18:34:05 > F_1/8 score (Step: 42000, Using test images): 0.9812606832130655
[INFO] 2020-09-18 18:34:05 > FID score (Step: 42000, Using test moments): 16.170284847455093
[INFO] 2020-09-18 18:34:05 > Inception score (Step: 42000, 10000 generated images): 8.543427467346191
[INFO] 2020-09-18 18:34:05 > Best FID score (Step: 42000, Using test moments): 16.170284847455093
[INFO] 2020-09-18 18:34:07 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:34:34 > Step: 42100 Progress: 42.1% Elapsed: 3:57:24 temperature: no ada_p: No Discriminator_loss: 0.843053 Generator_loss: 1.275
[INFO] 2020-09-18 18:35:02 > Step: 42200 Progress: 42.2% Elapsed: 3:57:53 temperature: no ada_p: No Discriminator_loss: 0.433183 Generator_loss: 1.82542
[INFO] 2020-09-18 18:35:30 > Step: 42300 Progress: 42.3% Elapsed: 3:58:20 temperature: no ada_p: No Discriminator_loss: 0.912818 Generator_loss: 1.4909
[INFO] 2020-09-18 18:35:58 > Step: 42400 Progress: 42.4% Elapsed: 3:58:48 temperature: no ada_p: No Discriminator_loss: 0.777728 Generator_loss: 1.20171
[INFO] 2020-09-18 18:36:27 > Step: 42500 Progress: 42.5% Elapsed: 3:59:17 temperature: no ada_p: No Discriminator_loss: 0.589894 Generator_loss: 1.24754
[INFO] 2020-09-18 18:36:54 > Step: 42600 Progress: 42.6% Elapsed: 3:59:44 temperature: no ada_p: No Discriminator_loss: 0.859711 Generator_loss: 0.845198
[INFO] 2020-09-18 18:37:22 > Step: 42700 Progress: 42.7% Elapsed: 4:00:12 temperature: no ada_p: No Discriminator_loss: 0.645594 Generator_loss: 1.6386
[INFO] 2020-09-18 18:37:50 > Step: 42800 Progress: 42.8% Elapsed: 4:00:40 temperature: no ada_p: No Discriminator_loss: 0.717424 Generator_loss: 0.782323
[INFO] 2020-09-18 18:38:18 > Step: 42900 Progress: 42.9% Elapsed: 4:01:08 temperature: no ada_p: No Discriminator_loss: 0.496469 Generator_loss: 0.819611
[INFO] 2020-09-18 18:38:47 > Step: 43000 Progress: 43.0% Elapsed: 4:01:37 temperature: no ada_p: No Discriminator_loss: 0.772197 Generator_loss: 1.75726
[INFO] 2020-09-18 18:39:14 > Step: 43100 Progress: 43.1% Elapsed: 4:02:04 temperature: no ada_p: No Discriminator_loss: 0.689765 Generator_loss: 0.458628
[INFO] 2020-09-18 18:39:42 > Step: 43200 Progress: 43.2% Elapsed: 4:02:32 temperature: no ada_p: No Discriminator_loss: 0.486838 Generator_loss: 1.72138
[INFO] 2020-09-18 18:40:11 > Step: 43300 Progress: 43.3% Elapsed: 4:03:01 temperature: no ada_p: No Discriminator_loss: 0.612962 Generator_loss: 1.20734
[INFO] 2020-09-18 18:40:38 > Step: 43400 Progress: 43.4% Elapsed: 4:03:28 temperature: no ada_p: No Discriminator_loss: 0.754466 Generator_loss: 1.45715
[INFO] 2020-09-18 18:41:06 > Step: 43500 Progress: 43.5% Elapsed: 4:03:57 temperature: no ada_p: No Discriminator_loss: 0.760159 Generator_loss: 1.28763
[INFO] 2020-09-18 18:41:35 > Step: 43600 Progress: 43.6% Elapsed: 4:04:25 temperature: no ada_p: No Discriminator_loss: 0.774995 Generator_loss: 2.06524
[INFO] 2020-09-18 18:42:02 > Step: 43700 Progress: 43.7% Elapsed: 4:04:52 temperature: no ada_p: No Discriminator_loss: 0.671291 Generator_loss: 1.27651
[INFO] 2020-09-18 18:42:31 > Step: 43800 Progress: 43.8% Elapsed: 4:05:21 temperature: no ada_p: No Discriminator_loss: 0.51066 Generator_loss: 1.04861
[INFO] 2020-09-18 18:42:59 > Step: 43900 Progress: 43.9% Elapsed: 4:05:49 temperature: no ada_p: No Discriminator_loss: 0.615688 Generator_loss: 1.02073
[INFO] 2020-09-18 18:43:27 > Step: 44000 Progress: 44.0% Elapsed: 4:06:17 temperature: no ada_p: No Discriminator_loss: 0.596904 Generator_loss: 2.36011
[INFO] 2020-09-18 18:43:27 > Start Evaluation (44000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:45:21 > F_8 score (Step: 44000, Using test images): 0.9634900495193531
[INFO] 2020-09-18 18:45:21 > F_1/8 score (Step: 44000, Using test images): 0.9733057962097025
[INFO] 2020-09-18 18:45:21 > FID score (Step: 44000, Using test moments): 17.15541005654802
[INFO] 2020-09-18 18:45:21 > Inception score (Step: 44000, 10000 generated images): 8.379521369934082
[INFO] 2020-09-18 18:45:21 > Best FID score (Step: 42000, Using test moments): 16.170284847455093
[INFO] 2020-09-18 18:45:22 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:45:49 > Step: 44100 Progress: 44.1% Elapsed: 4:08:39 temperature: no ada_p: No Discriminator_loss: 0.658682 Generator_loss: 1.05552
[INFO] 2020-09-18 18:46:17 > Step: 44200 Progress: 44.2% Elapsed: 4:09:07 temperature: no ada_p: No Discriminator_loss: 0.573615 Generator_loss: 1.33347
[INFO] 2020-09-18 18:46:45 > Step: 44300 Progress: 44.3% Elapsed: 4:09:35 temperature: no ada_p: No Discriminator_loss: 0.801347 Generator_loss: 1.56663
[INFO] 2020-09-18 18:47:14 > Step: 44400 Progress: 44.4% Elapsed: 4:10:04 temperature: no ada_p: No Discriminator_loss: 0.553357 Generator_loss: 1.50453
[INFO] 2020-09-18 18:47:41 > Step: 44500 Progress: 44.5% Elapsed: 4:10:31 temperature: no ada_p: No Discriminator_loss: 0.914139 Generator_loss: 1.81128
[INFO] 2020-09-18 18:48:09 > Step: 44600 Progress: 44.6% Elapsed: 4:10:59 temperature: no ada_p: No Discriminator_loss: 0.735959 Generator_loss: 0.866517
[INFO] 2020-09-18 18:48:36 > Step: 44700 Progress: 44.7% Elapsed: 4:11:26 temperature: no ada_p: No Discriminator_loss: 0.513383 Generator_loss: 1.68137
[INFO] 2020-09-18 18:49:04 > Step: 44800 Progress: 44.8% Elapsed: 4:11:54 temperature: no ada_p: No Discriminator_loss: 0.718437 Generator_loss: 1.43589
[INFO] 2020-09-18 18:49:32 > Step: 44900 Progress: 44.9% Elapsed: 4:12:22 temperature: no ada_p: No Discriminator_loss: 0.576889 Generator_loss: 1.33314
[INFO] 2020-09-18 18:50:00 > Step: 45000 Progress: 45.0% Elapsed: 4:12:51 temperature: no ada_p: No Discriminator_loss: 0.733406 Generator_loss: 1.42995
[INFO] 2020-09-18 18:50:29 > Step: 45100 Progress: 45.1% Elapsed: 4:13:19 temperature: no ada_p: No Discriminator_loss: 0.873497 Generator_loss: 0.682679
[INFO] 2020-09-18 18:50:57 > Step: 45200 Progress: 45.2% Elapsed: 4:13:47 temperature: no ada_p: No Discriminator_loss: 0.552375 Generator_loss: 1.16884
[INFO] 2020-09-18 18:51:25 > Step: 45300 Progress: 45.3% Elapsed: 4:14:15 temperature: no ada_p: No Discriminator_loss: 0.523483 Generator_loss: 0.935567
[INFO] 2020-09-18 18:51:53 > Step: 45400 Progress: 45.4% Elapsed: 4:14:43 temperature: no ada_p: No Discriminator_loss: 0.462448 Generator_loss: 0.694225
[INFO] 2020-09-18 18:52:21 > Step: 45500 Progress: 45.5% Elapsed: 4:15:11 temperature: no ada_p: No Discriminator_loss: 0.737911 Generator_loss: 0.754924
[INFO] 2020-09-18 18:52:49 > Step: 45600 Progress: 45.6% Elapsed: 4:15:39 temperature: no ada_p: No Discriminator_loss: 0.546731 Generator_loss: 0.698102
[INFO] 2020-09-18 18:53:17 > Step: 45700 Progress: 45.7% Elapsed: 4:16:07 temperature: no ada_p: No Discriminator_loss: 0.83349 Generator_loss: 1.85355
[INFO] 2020-09-18 18:53:45 > Step: 45800 Progress: 45.8% Elapsed: 4:16:36 temperature: no ada_p: No Discriminator_loss: 0.64779 Generator_loss: 1.0574
[INFO] 2020-09-18 18:54:13 > Step: 45900 Progress: 45.9% Elapsed: 4:17:03 temperature: no ada_p: No Discriminator_loss: 0.742649 Generator_loss: 1.19414
[INFO] 2020-09-18 18:54:41 > Step: 46000 Progress: 46.0% Elapsed: 4:17:31 temperature: no ada_p: No Discriminator_loss: 0.670804 Generator_loss: 1.18206
[INFO] 2020-09-18 18:54:41 > Start Evaluation (46000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:56:36 > F_8 score (Step: 46000, Using test images): 0.9737983603347407
[INFO] 2020-09-18 18:56:36 > F_1/8 score (Step: 46000, Using test images): 0.9771361092466361
[INFO] 2020-09-18 18:56:36 > FID score (Step: 46000, Using test moments): 15.851854598440354
[INFO] 2020-09-18 18:56:36 > Inception score (Step: 46000, 10000 generated images): 8.521286010742188
[INFO] 2020-09-18 18:56:36 > Best FID score (Step: 46000, Using test moments): 15.851854598440354
[INFO] 2020-09-18 18:56:38 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 18:57:06 > Step: 46100 Progress: 46.1% Elapsed: 4:19:56 temperature: no ada_p: No Discriminator_loss: 0.615509 Generator_loss: 1.23564
[INFO] 2020-09-18 18:57:33 > Step: 46200 Progress: 46.2% Elapsed: 4:20:24 temperature: no ada_p: No Discriminator_loss: 0.63722 Generator_loss: 1.0953
[INFO] 2020-09-18 18:58:02 > Step: 46300 Progress: 46.3% Elapsed: 4:20:52 temperature: no ada_p: No Discriminator_loss: 0.653535 Generator_loss: 1.32631
[INFO] 2020-09-18 18:58:30 > Step: 46400 Progress: 46.4% Elapsed: 4:21:20 temperature: no ada_p: No Discriminator_loss: 0.585508 Generator_loss: 1.46931
[INFO] 2020-09-18 18:58:58 > Step: 46500 Progress: 46.5% Elapsed: 4:21:48 temperature: no ada_p: No Discriminator_loss: 0.987257 Generator_loss: 0.419132
[INFO] 2020-09-18 18:59:26 > Step: 46600 Progress: 46.6% Elapsed: 4:22:16 temperature: no ada_p: No Discriminator_loss: 0.670526 Generator_loss: 1.28314
[INFO] 2020-09-18 18:59:54 > Step: 46700 Progress: 46.7% Elapsed: 4:22:44 temperature: no ada_p: No Discriminator_loss: 0.643997 Generator_loss: 1.26002
[INFO] 2020-09-18 19:00:22 > Step: 46800 Progress: 46.8% Elapsed: 4:23:12 temperature: no ada_p: No Discriminator_loss: 0.876905 Generator_loss: 0.692157
[INFO] 2020-09-18 19:00:51 > Step: 46900 Progress: 46.9% Elapsed: 4:23:41 temperature: no ada_p: No Discriminator_loss: 0.586147 Generator_loss: 1.31068
[INFO] 2020-09-18 19:01:18 > Step: 47000 Progress: 47.0% Elapsed: 4:24:08 temperature: no ada_p: No Discriminator_loss: 0.787878 Generator_loss: 1.7632
[INFO] 2020-09-18 19:01:46 > Step: 47100 Progress: 47.1% Elapsed: 4:24:36 temperature: no ada_p: No Discriminator_loss: 0.741967 Generator_loss: 0.937486
[INFO] 2020-09-18 19:02:14 > Step: 47200 Progress: 47.2% Elapsed: 4:25:04 temperature: no ada_p: No Discriminator_loss: 0.715772 Generator_loss: 1.6017
[INFO] 2020-09-18 19:02:42 > Step: 47300 Progress: 47.3% Elapsed: 4:25:32 temperature: no ada_p: No Discriminator_loss: 0.689058 Generator_loss: 0.341312
[INFO] 2020-09-18 19:03:10 > Step: 47400 Progress: 47.4% Elapsed: 4:26:00 temperature: no ada_p: No Discriminator_loss: 0.771393 Generator_loss: 0.59446
[INFO] 2020-09-18 19:03:38 > Step: 47500 Progress: 47.5% Elapsed: 4:26:29 temperature: no ada_p: No Discriminator_loss: 0.835672 Generator_loss: 1.90466
[INFO] 2020-09-18 19:04:06 > Step: 47600 Progress: 47.6% Elapsed: 4:26:56 temperature: no ada_p: No Discriminator_loss: 0.645297 Generator_loss: 1.51634
[INFO] 2020-09-18 19:04:35 > Step: 47700 Progress: 47.7% Elapsed: 4:27:25 temperature: no ada_p: No Discriminator_loss: 0.71152 Generator_loss: 1.08597
[INFO] 2020-09-18 19:05:03 > Step: 47800 Progress: 47.8% Elapsed: 4:27:53 temperature: no ada_p: No Discriminator_loss: 0.545926 Generator_loss: 1.18622
[INFO] 2020-09-18 19:05:30 > Step: 47900 Progress: 47.9% Elapsed: 4:28:20 temperature: no ada_p: No Discriminator_loss: 0.648965 Generator_loss: 0.390773
[INFO] 2020-09-18 19:05:59 > Step: 48000 Progress: 48.0% Elapsed: 4:28:49 temperature: no ada_p: No Discriminator_loss: 0.622399 Generator_loss: 1.41487
[INFO] 2020-09-18 19:05:59 > Start Evaluation (48000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:07:52 > F_8 score (Step: 48000, Using test images): 0.976787641674773
[INFO] 2020-09-18 19:07:52 > F_1/8 score (Step: 48000, Using test images): 0.975993228159057
[INFO] 2020-09-18 19:07:52 > FID score (Step: 48000, Using test moments): 16.202765816795647
[INFO] 2020-09-18 19:07:52 > Inception score (Step: 48000, 10000 generated images): 8.38628101348877
[INFO] 2020-09-18 19:07:52 > Best FID score (Step: 46000, Using test moments): 15.851854598440354
[INFO] 2020-09-18 19:07:53 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:08:20 > Step: 48100 Progress: 48.1% Elapsed: 4:31:10 temperature: no ada_p: No Discriminator_loss: 0.728045 Generator_loss: 0.644841
[INFO] 2020-09-18 19:08:48 > Step: 48200 Progress: 48.2% Elapsed: 4:31:39 temperature: no ada_p: No Discriminator_loss: 0.72216 Generator_loss: 0.283104
[INFO] 2020-09-18 19:09:17 > Step: 48300 Progress: 48.3% Elapsed: 4:32:07 temperature: no ada_p: No Discriminator_loss: 0.682294 Generator_loss: 0.706174
[INFO] 2020-09-18 19:09:45 > Step: 48400 Progress: 48.4% Elapsed: 4:32:36 temperature: no ada_p: No Discriminator_loss: 0.728062 Generator_loss: 0.958334
[INFO] 2020-09-18 19:10:14 > Step: 48500 Progress: 48.5% Elapsed: 4:33:04 temperature: no ada_p: No Discriminator_loss: 0.633434 Generator_loss: 1.41169
[INFO] 2020-09-18 19:10:42 > Step: 48600 Progress: 48.6% Elapsed: 4:33:32 temperature: no ada_p: No Discriminator_loss: 0.574005 Generator_loss: 0.831376
[INFO] 2020-09-18 19:11:10 > Step: 48700 Progress: 48.7% Elapsed: 4:34:00 temperature: no ada_p: No Discriminator_loss: 0.751247 Generator_loss: 1.17156
[INFO] 2020-09-18 19:11:38 > Step: 48800 Progress: 48.8% Elapsed: 4:34:28 temperature: no ada_p: No Discriminator_loss: 0.600128 Generator_loss: 1.60317
[INFO] 2020-09-18 19:12:06 > Step: 48900 Progress: 48.9% Elapsed: 4:34:57 temperature: no ada_p: No Discriminator_loss: 0.306751 Generator_loss: 0.530139
[INFO] 2020-09-18 19:12:35 > Step: 49000 Progress: 49.0% Elapsed: 4:35:25 temperature: no ada_p: No Discriminator_loss: 0.662668 Generator_loss: 1.2397
[INFO] 2020-09-18 19:13:03 > Step: 49100 Progress: 49.1% Elapsed: 4:35:53 temperature: no ada_p: No Discriminator_loss: 0.514826 Generator_loss: 1.23807
[INFO] 2020-09-18 19:13:31 > Step: 49200 Progress: 49.2% Elapsed: 4:36:21 temperature: no ada_p: No Discriminator_loss: 0.500084 Generator_loss: 1.48062
[INFO] 2020-09-18 19:14:00 > Step: 49300 Progress: 49.3% Elapsed: 4:36:50 temperature: no ada_p: No Discriminator_loss: 0.445295 Generator_loss: 1.55631
[INFO] 2020-09-18 19:14:28 > Step: 49400 Progress: 49.4% Elapsed: 4:37:18 temperature: no ada_p: No Discriminator_loss: 0.566604 Generator_loss: 0.881326
[INFO] 2020-09-18 19:14:55 > Step: 49500 Progress: 49.5% Elapsed: 4:37:45 temperature: no ada_p: No Discriminator_loss: 1.02852 Generator_loss: 1.89927
[INFO] 2020-09-18 19:15:24 > Step: 49600 Progress: 49.6% Elapsed: 4:38:14 temperature: no ada_p: No Discriminator_loss: 0.71666 Generator_loss: 1.28796
[INFO] 2020-09-18 19:15:52 > Step: 49700 Progress: 49.7% Elapsed: 4:38:42 temperature: no ada_p: No Discriminator_loss: 0.72456 Generator_loss: 1.32038
[INFO] 2020-09-18 19:16:20 > Step: 49800 Progress: 49.8% Elapsed: 4:39:10 temperature: no ada_p: No Discriminator_loss: 0.506175 Generator_loss: 1.3402
[INFO] 2020-09-18 19:16:49 > Step: 49900 Progress: 49.9% Elapsed: 4:39:39 temperature: no ada_p: No Discriminator_loss: 0.656607 Generator_loss: 1.47732
[INFO] 2020-09-18 19:17:17 > Step: 50000 Progress: 50.0% Elapsed: 4:40:07 temperature: no ada_p: No Discriminator_loss: 0.641507 Generator_loss: 0.916486
[INFO] 2020-09-18 19:17:17 > Start Evaluation (50000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:19:13 > F_8 score (Step: 50000, Using test images): 0.9684074645324477
[INFO] 2020-09-18 19:19:13 > F_1/8 score (Step: 50000, Using test images): 0.979458152810586
[INFO] 2020-09-18 19:19:13 > FID score (Step: 50000, Using test moments): 16.608206664950046
[INFO] 2020-09-18 19:19:13 > Inception score (Step: 50000, 10000 generated images): 8.332884788513184
[INFO] 2020-09-18 19:19:13 > Best FID score (Step: 46000, Using test moments): 15.851854598440354
[INFO] 2020-09-18 19:19:13 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:19:41 > Step: 50100 Progress: 50.1% Elapsed: 4:42:31 temperature: no ada_p: No Discriminator_loss: 0.654351 Generator_loss: 1.03084
[INFO] 2020-09-18 19:20:09 > Step: 50200 Progress: 50.2% Elapsed: 4:42:59 temperature: no ada_p: No Discriminator_loss: 0.503514 Generator_loss: 1.01591
[INFO] 2020-09-18 19:20:37 > Step: 50300 Progress: 50.3% Elapsed: 4:43:27 temperature: no ada_p: No Discriminator_loss: 0.512314 Generator_loss: 1.5352
[INFO] 2020-09-18 19:21:05 > Step: 50400 Progress: 50.4% Elapsed: 4:43:56 temperature: no ada_p: No Discriminator_loss: 0.968287 Generator_loss: 1.04384
[INFO] 2020-09-18 19:21:34 > Step: 50500 Progress: 50.5% Elapsed: 4:44:24 temperature: no ada_p: No Discriminator_loss: 0.652119 Generator_loss: 0.737218
[INFO] 2020-09-18 19:22:01 > Step: 50600 Progress: 50.6% Elapsed: 4:44:51 temperature: no ada_p: No Discriminator_loss: 0.851744 Generator_loss: 1.78697
[INFO] 2020-09-18 19:22:30 > Step: 50700 Progress: 50.7% Elapsed: 4:45:20 temperature: no ada_p: No Discriminator_loss: 0.636489 Generator_loss: 1.00951
[INFO] 2020-09-18 19:22:58 > Step: 50800 Progress: 50.8% Elapsed: 4:45:48 temperature: no ada_p: No Discriminator_loss: 0.717742 Generator_loss: 2.50897
[INFO] 2020-09-18 19:23:26 > Step: 50900 Progress: 50.9% Elapsed: 4:46:16 temperature: no ada_p: No Discriminator_loss: 0.558629 Generator_loss: 0.0254204
[INFO] 2020-09-18 19:23:54 > Step: 51000 Progress: 51.0% Elapsed: 4:46:45 temperature: no ada_p: No Discriminator_loss: 0.72169 Generator_loss: 0.623252
[INFO] 2020-09-18 19:24:23 > Step: 51100 Progress: 51.1% Elapsed: 4:47:13 temperature: no ada_p: No Discriminator_loss: 0.66403 Generator_loss: 1.18022
[INFO] 2020-09-18 19:24:51 > Step: 51200 Progress: 51.2% Elapsed: 4:47:41 temperature: no ada_p: No Discriminator_loss: 0.662956 Generator_loss: 0.871538
[INFO] 2020-09-18 19:25:20 > Step: 51300 Progress: 51.3% Elapsed: 4:48:10 temperature: no ada_p: No Discriminator_loss: 0.659238 Generator_loss: 0.863724
[INFO] 2020-09-18 19:25:48 > Step: 51400 Progress: 51.4% Elapsed: 4:48:38 temperature: no ada_p: No Discriminator_loss: 0.528657 Generator_loss: 1.72184
[INFO] 2020-09-18 19:26:16 > Step: 51500 Progress: 51.5% Elapsed: 4:49:07 temperature: no ada_p: No Discriminator_loss: 0.777564 Generator_loss: 0.67688
[INFO] 2020-09-18 19:26:45 > Step: 51600 Progress: 51.6% Elapsed: 4:49:35 temperature: no ada_p: No Discriminator_loss: 0.880117 Generator_loss: 1.79359
[INFO] 2020-09-18 19:27:13 > Step: 51700 Progress: 51.7% Elapsed: 4:50:03 temperature: no ada_p: No Discriminator_loss: 0.644323 Generator_loss: 0.7046
[INFO] 2020-09-18 19:27:42 > Step: 51800 Progress: 51.8% Elapsed: 4:50:32 temperature: no ada_p: No Discriminator_loss: 0.427991 Generator_loss: 1.00031
[INFO] 2020-09-18 19:28:10 > Step: 51900 Progress: 51.9% Elapsed: 4:51:00 temperature: no ada_p: No Discriminator_loss: 0.576583 Generator_loss: 1.55897
[INFO] 2020-09-18 19:28:37 > Step: 52000 Progress: 52.0% Elapsed: 4:51:27 temperature: no ada_p: No Discriminator_loss: 0.626077 Generator_loss: 0.202518
[INFO] 2020-09-18 19:28:37 > Start Evaluation (52000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:30:29 > F_8 score (Step: 52000, Using test images): 0.960775743528569
[INFO] 2020-09-18 19:30:29 > F_1/8 score (Step: 52000, Using test images): 0.9807301709750862
[INFO] 2020-09-18 19:30:29 > FID score (Step: 52000, Using test moments): 15.290378368175652
[INFO] 2020-09-18 19:30:29 > Inception score (Step: 52000, 10000 generated images): 8.415740966796875
[INFO] 2020-09-18 19:30:29 > Best FID score (Step: 52000, Using test moments): 15.290378368175652
[INFO] 2020-09-18 19:30:31 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:30:59 > Step: 52100 Progress: 52.1% Elapsed: 4:53:49 temperature: no ada_p: No Discriminator_loss: 0.745164 Generator_loss: 0.748665
[INFO] 2020-09-18 19:31:27 > Step: 52200 Progress: 52.2% Elapsed: 4:54:17 temperature: no ada_p: No Discriminator_loss: 0.596803 Generator_loss: 0.671779
[INFO] 2020-09-18 19:31:54 > Step: 52300 Progress: 52.3% Elapsed: 4:54:45 temperature: no ada_p: No Discriminator_loss: 0.726573 Generator_loss: 1.30948
[INFO] 2020-09-18 19:32:23 > Step: 52400 Progress: 52.4% Elapsed: 4:55:13 temperature: no ada_p: No Discriminator_loss: 0.581885 Generator_loss: 2.28003
[INFO] 2020-09-18 19:32:51 > Step: 52500 Progress: 52.5% Elapsed: 4:55:42 temperature: no ada_p: No Discriminator_loss: 0.956757 Generator_loss: 0.834499
[INFO] 2020-09-18 19:33:20 > Step: 52600 Progress: 52.6% Elapsed: 4:56:10 temperature: no ada_p: No Discriminator_loss: 0.543136 Generator_loss: 1.17063
[INFO] 2020-09-18 19:33:48 > Step: 52700 Progress: 52.7% Elapsed: 4:56:38 temperature: no ada_p: No Discriminator_loss: 0.582916 Generator_loss: 0.992834
[INFO] 2020-09-18 19:34:17 > Step: 52800 Progress: 52.8% Elapsed: 4:57:07 temperature: no ada_p: No Discriminator_loss: 1.24209 Generator_loss: 1.99697
[INFO] 2020-09-18 19:34:44 > Step: 52900 Progress: 52.9% Elapsed: 4:57:34 temperature: no ada_p: No Discriminator_loss: 0.565793 Generator_loss: 1.25409
[INFO] 2020-09-18 19:35:13 > Step: 53000 Progress: 53.0% Elapsed: 4:58:03 temperature: no ada_p: No Discriminator_loss: 0.846978 Generator_loss: 1.46256
[INFO] 2020-09-18 19:35:41 > Step: 53100 Progress: 53.1% Elapsed: 4:58:31 temperature: no ada_p: No Discriminator_loss: 0.676986 Generator_loss: 2.02909
[INFO] 2020-09-18 19:36:09 > Step: 53200 Progress: 53.2% Elapsed: 4:58:59 temperature: no ada_p: No Discriminator_loss: 0.508931 Generator_loss: 1.37726
[INFO] 2020-09-18 19:36:38 > Step: 53300 Progress: 53.3% Elapsed: 4:59:28 temperature: no ada_p: No Discriminator_loss: 0.516243 Generator_loss: 1.15113
[INFO] 2020-09-18 19:37:05 > Step: 53400 Progress: 53.4% Elapsed: 4:59:55 temperature: no ada_p: No Discriminator_loss: 0.500803 Generator_loss: 0.532955
[INFO] 2020-09-18 19:37:33 > Step: 53500 Progress: 53.5% Elapsed: 5:00:23 temperature: no ada_p: No Discriminator_loss: 0.581489 Generator_loss: 0.964576
[INFO] 2020-09-18 19:38:01 > Step: 53600 Progress: 53.6% Elapsed: 5:00:51 temperature: no ada_p: No Discriminator_loss: 0.579277 Generator_loss: 1.11013
[INFO] 2020-09-18 19:38:29 > Step: 53700 Progress: 53.7% Elapsed: 5:01:19 temperature: no ada_p: No Discriminator_loss: 0.590421 Generator_loss: 0.935147
[INFO] 2020-09-18 19:38:57 > Step: 53800 Progress: 53.8% Elapsed: 5:01:48 temperature: no ada_p: No Discriminator_loss: 0.700946 Generator_loss: 1.18373
[INFO] 2020-09-18 19:39:26 > Step: 53900 Progress: 53.9% Elapsed: 5:02:16 temperature: no ada_p: No Discriminator_loss: 0.436708 Generator_loss: 0.972864
[INFO] 2020-09-18 19:39:53 > Step: 54000 Progress: 54.0% Elapsed: 5:02:43 temperature: no ada_p: No Discriminator_loss: 0.643644 Generator_loss: 0.749814
[INFO] 2020-09-18 19:39:53 > Start Evaluation (54000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:41:48 > F_8 score (Step: 54000, Using test images): 0.9639450508184731
[INFO] 2020-09-18 19:41:48 > F_1/8 score (Step: 54000, Using test images): 0.9822689643401239
[INFO] 2020-09-18 19:41:48 > FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 19:41:48 > Inception score (Step: 54000, 10000 generated images): 8.494641304016113
[INFO] 2020-09-18 19:41:48 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 19:41:50 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:42:18 > Step: 54100 Progress: 54.1% Elapsed: 5:05:08 temperature: no ada_p: No Discriminator_loss: 0.84873 Generator_loss: 2.03352
[INFO] 2020-09-18 19:42:45 > Step: 54200 Progress: 54.2% Elapsed: 5:05:35 temperature: no ada_p: No Discriminator_loss: 0.686467 Generator_loss: 0.643947
[INFO] 2020-09-18 19:43:13 > Step: 54300 Progress: 54.3% Elapsed: 5:06:03 temperature: no ada_p: No Discriminator_loss: 0.679712 Generator_loss: 1.61495
[INFO] 2020-09-18 19:43:42 > Step: 54400 Progress: 54.4% Elapsed: 5:06:32 temperature: no ada_p: No Discriminator_loss: 0.504239 Generator_loss: 1.31495
[INFO] 2020-09-18 19:44:10 > Step: 54500 Progress: 54.5% Elapsed: 5:07:00 temperature: no ada_p: No Discriminator_loss: 0.582325 Generator_loss: 1.63411
[INFO] 2020-09-18 19:44:38 > Step: 54600 Progress: 54.6% Elapsed: 5:07:28 temperature: no ada_p: No Discriminator_loss: 0.667045 Generator_loss: 1.51538
[INFO] 2020-09-18 19:45:06 > Step: 54700 Progress: 54.7% Elapsed: 5:07:56 temperature: no ada_p: No Discriminator_loss: 0.680861 Generator_loss: 1.33027
[INFO] 2020-09-18 19:45:34 > Step: 54800 Progress: 54.8% Elapsed: 5:08:24 temperature: no ada_p: No Discriminator_loss: 0.583123 Generator_loss: 1.2447
[INFO] 2020-09-18 19:46:03 > Step: 54900 Progress: 54.9% Elapsed: 5:08:53 temperature: no ada_p: No Discriminator_loss: 0.626755 Generator_loss: 1.47225
[INFO] 2020-09-18 19:46:31 > Step: 55000 Progress: 55.0% Elapsed: 5:09:21 temperature: no ada_p: No Discriminator_loss: 0.850506 Generator_loss: 2.14058
[INFO] 2020-09-18 19:46:59 > Step: 55100 Progress: 55.1% Elapsed: 5:09:49 temperature: no ada_p: No Discriminator_loss: 0.705915 Generator_loss: 0.246154
[INFO] 2020-09-18 19:47:27 > Step: 55200 Progress: 55.2% Elapsed: 5:10:17 temperature: no ada_p: No Discriminator_loss: 0.672157 Generator_loss: 1.21145
[INFO] 2020-09-18 19:47:55 > Step: 55300 Progress: 55.3% Elapsed: 5:10:46 temperature: no ada_p: No Discriminator_loss: 0.383487 Generator_loss: 1.09171
[INFO] 2020-09-18 19:48:23 > Step: 55400 Progress: 55.4% Elapsed: 5:11:13 temperature: no ada_p: No Discriminator_loss: 0.587043 Generator_loss: 0.803064
[INFO] 2020-09-18 19:48:51 > Step: 55500 Progress: 55.5% Elapsed: 5:11:42 temperature: no ada_p: No Discriminator_loss: 0.684662 Generator_loss: 0.631326
[INFO] 2020-09-18 19:49:19 > Step: 55600 Progress: 55.6% Elapsed: 5:12:09 temperature: no ada_p: No Discriminator_loss: 0.495093 Generator_loss: 1.08249
[INFO] 2020-09-18 19:49:48 > Step: 55700 Progress: 55.7% Elapsed: 5:12:38 temperature: no ada_p: No Discriminator_loss: 0.794459 Generator_loss: 0.541471
[INFO] 2020-09-18 19:50:16 > Step: 55800 Progress: 55.8% Elapsed: 5:13:06 temperature: no ada_p: No Discriminator_loss: 0.579737 Generator_loss: 1.48636
[INFO] 2020-09-18 19:50:44 > Step: 55900 Progress: 55.9% Elapsed: 5:13:34 temperature: no ada_p: No Discriminator_loss: 0.794263 Generator_loss: 1.6742
[INFO] 2020-09-18 19:51:13 > Step: 56000 Progress: 56.0% Elapsed: 5:14:03 temperature: no ada_p: No Discriminator_loss: 0.524533 Generator_loss: 1.77318
[INFO] 2020-09-18 19:51:13 > Start Evaluation (56000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:53:09 > F_8 score (Step: 56000, Using test images): 0.9739717692806187
[INFO] 2020-09-18 19:53:09 > F_1/8 score (Step: 56000, Using test images): 0.9829020515639287
[INFO] 2020-09-18 19:53:09 > FID score (Step: 56000, Using test moments): 15.760036866431562
[INFO] 2020-09-18 19:53:09 > Inception score (Step: 56000, 10000 generated images): 8.503371238708496
[INFO] 2020-09-18 19:53:09 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 19:53:09 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 19:53:37 > Step: 56100 Progress: 56.1% Elapsed: 5:16:27 temperature: no ada_p: No Discriminator_loss: 0.638218 Generator_loss: 0.798905
[INFO] 2020-09-18 19:54:05 > Step: 56200 Progress: 56.2% Elapsed: 5:16:55 temperature: no ada_p: No Discriminator_loss: 0.614464 Generator_loss: 0.573347
[INFO] 2020-09-18 19:54:33 > Step: 56300 Progress: 56.3% Elapsed: 5:17:23 temperature: no ada_p: No Discriminator_loss: 0.590138 Generator_loss: 0.526603
[INFO] 2020-09-18 19:55:02 > Step: 56400 Progress: 56.4% Elapsed: 5:17:52 temperature: no ada_p: No Discriminator_loss: 0.493822 Generator_loss: 1.23662
[INFO] 2020-09-18 19:55:30 > Step: 56500 Progress: 56.5% Elapsed: 5:18:20 temperature: no ada_p: No Discriminator_loss: 0.597608 Generator_loss: 1.34253
[INFO] 2020-09-18 19:55:58 > Step: 56600 Progress: 56.6% Elapsed: 5:18:48 temperature: no ada_p: No Discriminator_loss: 0.667569 Generator_loss: 0.979849
[INFO] 2020-09-18 19:56:26 > Step: 56700 Progress: 56.7% Elapsed: 5:19:16 temperature: no ada_p: No Discriminator_loss: 0.534973 Generator_loss: 0.832664
[INFO] 2020-09-18 19:56:54 > Step: 56800 Progress: 56.8% Elapsed: 5:19:45 temperature: no ada_p: No Discriminator_loss: 0.347976 Generator_loss: 1.11505
[INFO] 2020-09-18 19:57:23 > Step: 56900 Progress: 56.9% Elapsed: 5:20:13 temperature: no ada_p: No Discriminator_loss: 0.704073 Generator_loss: 1.23844
[INFO] 2020-09-18 19:57:50 > Step: 57000 Progress: 57.0% Elapsed: 5:20:41 temperature: no ada_p: No Discriminator_loss: 0.613348 Generator_loss: 0.677571
[INFO] 2020-09-18 19:58:19 > Step: 57100 Progress: 57.1% Elapsed: 5:21:09 temperature: no ada_p: No Discriminator_loss: 0.628856 Generator_loss: 1.85732
[INFO] 2020-09-18 19:58:48 > Step: 57200 Progress: 57.2% Elapsed: 5:21:38 temperature: no ada_p: No Discriminator_loss: 0.553814 Generator_loss: 1.87812
[INFO] 2020-09-18 19:59:16 > Step: 57300 Progress: 57.3% Elapsed: 5:22:06 temperature: no ada_p: No Discriminator_loss: 0.739372 Generator_loss: 1.57034
[INFO] 2020-09-18 19:59:45 > Step: 57400 Progress: 57.4% Elapsed: 5:22:35 temperature: no ada_p: No Discriminator_loss: 0.473981 Generator_loss: 1.65681
[INFO] 2020-09-18 20:00:13 > Step: 57500 Progress: 57.5% Elapsed: 5:23:03 temperature: no ada_p: No Discriminator_loss: 0.665224 Generator_loss: 0.529636
[INFO] 2020-09-18 20:00:41 > Step: 57600 Progress: 57.6% Elapsed: 5:23:32 temperature: no ada_p: No Discriminator_loss: 0.563612 Generator_loss: 1.90342
[INFO] 2020-09-18 20:01:09 > Step: 57700 Progress: 57.7% Elapsed: 5:23:59 temperature: no ada_p: No Discriminator_loss: 0.775328 Generator_loss: 1.21211
[INFO] 2020-09-18 20:01:38 > Step: 57800 Progress: 57.8% Elapsed: 5:24:28 temperature: no ada_p: No Discriminator_loss: 0.706803 Generator_loss: 1.2444
[INFO] 2020-09-18 20:02:05 > Step: 57900 Progress: 57.9% Elapsed: 5:24:55 temperature: no ada_p: No Discriminator_loss: 0.623848 Generator_loss: 0.463482
[INFO] 2020-09-18 20:02:33 > Step: 58000 Progress: 58.0% Elapsed: 5:25:23 temperature: no ada_p: No Discriminator_loss: 0.612955 Generator_loss: 1.37972
[INFO] 2020-09-18 20:02:33 > Start Evaluation (58000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:04:29 > F_8 score (Step: 58000, Using test images): 0.9710665565157659
[INFO] 2020-09-18 20:04:29 > F_1/8 score (Step: 58000, Using test images): 0.9826204669092848
[INFO] 2020-09-18 20:04:29 > FID score (Step: 58000, Using test moments): 15.234766008445433
[INFO] 2020-09-18 20:04:29 > Inception score (Step: 58000, 10000 generated images): 8.468123435974121
[INFO] 2020-09-18 20:04:29 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 20:04:30 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:04:57 > Step: 58100 Progress: 58.1% Elapsed: 5:27:47 temperature: no ada_p: No Discriminator_loss: 0.749658 Generator_loss: 2.1795
[INFO] 2020-09-18 20:05:25 > Step: 58200 Progress: 58.2% Elapsed: 5:28:16 temperature: no ada_p: No Discriminator_loss: 0.701739 Generator_loss: 1.79922
[INFO] 2020-09-18 20:05:54 > Step: 58300 Progress: 58.3% Elapsed: 5:28:44 temperature: no ada_p: No Discriminator_loss: 0.671053 Generator_loss: 1.26086
[INFO] 2020-09-18 20:06:22 > Step: 58400 Progress: 58.4% Elapsed: 5:29:12 temperature: no ada_p: No Discriminator_loss: 0.766586 Generator_loss: 1.18586
[INFO] 2020-09-18 20:06:50 > Step: 58500 Progress: 58.5% Elapsed: 5:29:40 temperature: no ada_p: No Discriminator_loss: 0.568258 Generator_loss: 1.39625
[INFO] 2020-09-18 20:07:18 > Step: 58600 Progress: 58.6% Elapsed: 5:30:08 temperature: no ada_p: No Discriminator_loss: 0.574179 Generator_loss: 1.63289
[INFO] 2020-09-18 20:07:46 > Step: 58700 Progress: 58.7% Elapsed: 5:30:36 temperature: no ada_p: No Discriminator_loss: 0.830089 Generator_loss: 1.42935
[INFO] 2020-09-18 20:08:14 > Step: 58800 Progress: 58.8% Elapsed: 5:31:05 temperature: no ada_p: No Discriminator_loss: 0.592352 Generator_loss: 1.39408
[INFO] 2020-09-18 20:08:42 > Step: 58900 Progress: 58.9% Elapsed: 5:31:32 temperature: no ada_p: No Discriminator_loss: 0.716653 Generator_loss: 0.691933
[INFO] 2020-09-18 20:09:09 > Step: 59000 Progress: 59.0% Elapsed: 5:31:59 temperature: no ada_p: No Discriminator_loss: 0.681306 Generator_loss: 0.519579
[INFO] 2020-09-18 20:09:37 > Step: 59100 Progress: 59.1% Elapsed: 5:32:27 temperature: no ada_p: No Discriminator_loss: 0.599583 Generator_loss: 0.86866
[INFO] 2020-09-18 20:10:04 > Step: 59200 Progress: 59.2% Elapsed: 5:32:55 temperature: no ada_p: No Discriminator_loss: 0.616714 Generator_loss: 1.28871
[INFO] 2020-09-18 20:10:32 > Step: 59300 Progress: 59.3% Elapsed: 5:33:22 temperature: no ada_p: No Discriminator_loss: 0.520966 Generator_loss: 1.53685
[INFO] 2020-09-18 20:11:00 > Step: 59400 Progress: 59.4% Elapsed: 5:33:50 temperature: no ada_p: No Discriminator_loss: 0.50765 Generator_loss: 1.64026
[INFO] 2020-09-18 20:11:28 > Step: 59500 Progress: 59.5% Elapsed: 5:34:18 temperature: no ada_p: No Discriminator_loss: 0.420502 Generator_loss: 1.46556
[INFO] 2020-09-18 20:11:56 > Step: 59600 Progress: 59.6% Elapsed: 5:34:46 temperature: no ada_p: No Discriminator_loss: 0.54181 Generator_loss: 1.05563
[INFO] 2020-09-18 20:12:24 > Step: 59700 Progress: 59.7% Elapsed: 5:35:14 temperature: no ada_p: No Discriminator_loss: 0.672266 Generator_loss: 1.21878
[INFO] 2020-09-18 20:12:52 > Step: 59800 Progress: 59.8% Elapsed: 5:35:42 temperature: no ada_p: No Discriminator_loss: 0.648933 Generator_loss: 0.678301
[INFO] 2020-09-18 20:13:20 > Step: 59900 Progress: 59.9% Elapsed: 5:36:10 temperature: no ada_p: No Discriminator_loss: 0.428763 Generator_loss: 1.25789
[INFO] 2020-09-18 20:13:48 > Step: 60000 Progress: 60.0% Elapsed: 5:36:38 temperature: no ada_p: No Discriminator_loss: 0.759252 Generator_loss: 0.663608
[INFO] 2020-09-18 20:13:48 > Start Evaluation (60000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:15:43 > F_8 score (Step: 60000, Using test images): 0.9738636362661112
[INFO] 2020-09-18 20:15:43 > F_1/8 score (Step: 60000, Using test images): 0.9813425524343943
[INFO] 2020-09-18 20:15:43 > FID score (Step: 60000, Using test moments): 14.564751009935321
[INFO] 2020-09-18 20:15:43 > Inception score (Step: 60000, 10000 generated images): 8.630148887634277
[INFO] 2020-09-18 20:15:43 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 20:15:44 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:16:11 > Step: 60100 Progress: 60.1% Elapsed: 5:39:01 temperature: no ada_p: No Discriminator_loss: 0.549777 Generator_loss: 0.910631
[INFO] 2020-09-18 20:16:40 > Step: 60200 Progress: 60.2% Elapsed: 5:39:30 temperature: no ada_p: No Discriminator_loss: 0.394718 Generator_loss: 0.932085
[INFO] 2020-09-18 20:17:08 > Step: 60300 Progress: 60.3% Elapsed: 5:39:58 temperature: no ada_p: No Discriminator_loss: 0.522297 Generator_loss: 1.53906
[INFO] 2020-09-18 20:17:36 > Step: 60400 Progress: 60.4% Elapsed: 5:40:26 temperature: no ada_p: No Discriminator_loss: 1.10031 Generator_loss: 0.33949
[INFO] 2020-09-18 20:18:04 > Step: 60500 Progress: 60.5% Elapsed: 5:40:54 temperature: no ada_p: No Discriminator_loss: 0.482128 Generator_loss: 1.46783
[INFO] 2020-09-18 20:18:31 > Step: 60600 Progress: 60.6% Elapsed: 5:41:21 temperature: no ada_p: No Discriminator_loss: 0.720694 Generator_loss: 1.25177
[INFO] 2020-09-18 20:18:59 > Step: 60700 Progress: 60.7% Elapsed: 5:41:50 temperature: no ada_p: No Discriminator_loss: 0.64175 Generator_loss: 0.733857
[INFO] 2020-09-18 20:19:28 > Step: 60800 Progress: 60.8% Elapsed: 5:42:18 temperature: no ada_p: No Discriminator_loss: 0.719985 Generator_loss: 1.62943
[INFO] 2020-09-18 20:19:56 > Step: 60900 Progress: 60.9% Elapsed: 5:42:46 temperature: no ada_p: No Discriminator_loss: 0.74265 Generator_loss: 0.578486
[INFO] 2020-09-18 20:20:24 > Step: 61000 Progress: 61.0% Elapsed: 5:43:14 temperature: no ada_p: No Discriminator_loss: 0.592451 Generator_loss: 1.38708
[INFO] 2020-09-18 20:20:52 > Step: 61100 Progress: 61.1% Elapsed: 5:43:43 temperature: no ada_p: No Discriminator_loss: 0.530047 Generator_loss: 1.61419
[INFO] 2020-09-18 20:21:20 > Step: 61200 Progress: 61.2% Elapsed: 5:44:10 temperature: no ada_p: No Discriminator_loss: 0.684932 Generator_loss: 0.803174
[INFO] 2020-09-18 20:21:48 > Step: 61300 Progress: 61.3% Elapsed: 5:44:38 temperature: no ada_p: No Discriminator_loss: 0.629103 Generator_loss: 0.902721
[INFO] 2020-09-18 20:22:17 > Step: 61400 Progress: 61.4% Elapsed: 5:45:07 temperature: no ada_p: No Discriminator_loss: 0.640743 Generator_loss: 0.908377
[INFO] 2020-09-18 20:22:45 > Step: 61500 Progress: 61.5% Elapsed: 5:45:35 temperature: no ada_p: No Discriminator_loss: 0.623278 Generator_loss: 1.77581
[INFO] 2020-09-18 20:23:14 > Step: 61600 Progress: 61.6% Elapsed: 5:46:04 temperature: no ada_p: No Discriminator_loss: 0.603247 Generator_loss: 1.19936
[INFO] 2020-09-18 20:23:43 > Step: 61700 Progress: 61.7% Elapsed: 5:46:33 temperature: no ada_p: No Discriminator_loss: 0.70725 Generator_loss: 1.01385
[INFO] 2020-09-18 20:24:11 > Step: 61800 Progress: 61.8% Elapsed: 5:47:01 temperature: no ada_p: No Discriminator_loss: 0.646117 Generator_loss: 0.869959
[INFO] 2020-09-18 20:24:39 > Step: 61900 Progress: 61.9% Elapsed: 5:47:29 temperature: no ada_p: No Discriminator_loss: 0.68366 Generator_loss: 1.39662
[INFO] 2020-09-18 20:25:07 > Step: 62000 Progress: 62.0% Elapsed: 5:47:57 temperature: no ada_p: No Discriminator_loss: 0.500759 Generator_loss: 2.1079
[INFO] 2020-09-18 20:25:07 > Start Evaluation (62000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:27:01 > F_8 score (Step: 62000, Using test images): 0.9720939716370838
[INFO] 2020-09-18 20:27:01 > F_1/8 score (Step: 62000, Using test images): 0.9808421800279488
[INFO] 2020-09-18 20:27:01 > FID score (Step: 62000, Using test moments): 14.615389745611083
[INFO] 2020-09-18 20:27:01 > Inception score (Step: 62000, 10000 generated images): 8.682607650756836
[INFO] 2020-09-18 20:27:01 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 20:27:02 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:27:30 > Step: 62100 Progress: 62.1% Elapsed: 5:50:20 temperature: no ada_p: No Discriminator_loss: 0.673447 Generator_loss: 1.16082
[INFO] 2020-09-18 20:27:58 > Step: 62200 Progress: 62.2% Elapsed: 5:50:48 temperature: no ada_p: No Discriminator_loss: 0.775763 Generator_loss: 1.37541
[INFO] 2020-09-18 20:28:25 > Step: 62300 Progress: 62.3% Elapsed: 5:51:16 temperature: no ada_p: No Discriminator_loss: 0.734159 Generator_loss: 1.37374
[INFO] 2020-09-18 20:28:54 > Step: 62400 Progress: 62.4% Elapsed: 5:51:44 temperature: no ada_p: No Discriminator_loss: 0.540639 Generator_loss: 0.909222
[INFO] 2020-09-18 20:29:22 > Step: 62500 Progress: 62.5% Elapsed: 5:52:12 temperature: no ada_p: No Discriminator_loss: 0.748834 Generator_loss: 0.841134
[INFO] 2020-09-18 20:29:50 > Step: 62600 Progress: 62.6% Elapsed: 5:52:41 temperature: no ada_p: No Discriminator_loss: 0.646986 Generator_loss: 0.89684
[INFO] 2020-09-18 20:30:19 > Step: 62700 Progress: 62.7% Elapsed: 5:53:09 temperature: no ada_p: No Discriminator_loss: 0.740025 Generator_loss: 0.95427
[INFO] 2020-09-18 20:30:48 > Step: 62800 Progress: 62.8% Elapsed: 5:53:38 temperature: no ada_p: No Discriminator_loss: 0.588848 Generator_loss: 0.654754
[INFO] 2020-09-18 20:31:16 > Step: 62900 Progress: 62.9% Elapsed: 5:54:06 temperature: no ada_p: No Discriminator_loss: 0.770509 Generator_loss: 0.807991
[INFO] 2020-09-18 20:31:44 > Step: 63000 Progress: 63.0% Elapsed: 5:54:34 temperature: no ada_p: No Discriminator_loss: 0.556051 Generator_loss: 1.57207
[INFO] 2020-09-18 20:32:12 > Step: 63100 Progress: 63.1% Elapsed: 5:55:02 temperature: no ada_p: No Discriminator_loss: 0.418887 Generator_loss: 1.33702
[INFO] 2020-09-18 20:32:40 > Step: 63200 Progress: 63.2% Elapsed: 5:55:30 temperature: no ada_p: No Discriminator_loss: 0.605318 Generator_loss: 1.41592
[INFO] 2020-09-18 20:33:08 > Step: 63300 Progress: 63.3% Elapsed: 5:55:58 temperature: no ada_p: No Discriminator_loss: 0.436234 Generator_loss: 0.500219
[INFO] 2020-09-18 20:33:36 > Step: 63400 Progress: 63.4% Elapsed: 5:56:26 temperature: no ada_p: No Discriminator_loss: 0.632407 Generator_loss: 1.92153
[INFO] 2020-09-18 20:34:05 > Step: 63500 Progress: 63.5% Elapsed: 5:56:55 temperature: no ada_p: No Discriminator_loss: 0.641263 Generator_loss: 1.63188
[INFO] 2020-09-18 20:34:33 > Step: 63600 Progress: 63.6% Elapsed: 5:57:23 temperature: no ada_p: No Discriminator_loss: 0.634016 Generator_loss: 1.62202
[INFO] 2020-09-18 20:35:01 > Step: 63700 Progress: 63.7% Elapsed: 5:57:51 temperature: no ada_p: No Discriminator_loss: 0.535883 Generator_loss: 0.951139
[INFO] 2020-09-18 20:35:30 > Step: 63800 Progress: 63.8% Elapsed: 5:58:20 temperature: no ada_p: No Discriminator_loss: 0.819429 Generator_loss: 0.342811
[INFO] 2020-09-18 20:35:58 > Step: 63900 Progress: 63.9% Elapsed: 5:58:48 temperature: no ada_p: No Discriminator_loss: 0.520084 Generator_loss: 1.05067
[INFO] 2020-09-18 20:36:26 > Step: 64000 Progress: 64.0% Elapsed: 5:59:16 temperature: no ada_p: No Discriminator_loss: 0.77249 Generator_loss: 0.782703
[INFO] 2020-09-18 20:36:26 > Start Evaluation (64000 Step): SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:38:20 > F_8 score (Step: 64000, Using test images): 0.9749504608835441
[INFO] 2020-09-18 20:38:20 > F_1/8 score (Step: 64000, Using test images): 0.979032997067368
[INFO] 2020-09-18 20:38:20 > FID score (Step: 64000, Using test moments): 15.643387496839864
[INFO] 2020-09-18 20:38:20 > Inception score (Step: 64000, 10000 generated images): 8.526147842407227
[INFO] 2020-09-18 20:38:20 > Best FID score (Step: 54000, Using test moments): 14.45836714691427
[INFO] 2020-09-18 20:38:21 > Saved model to checkpoints/SNGAN-train-2020_09_18_14_37_00
[INFO] 2020-09-18 20:38:49 > Step: 64100 Progress: 64.1% Elapsed: 6:01:39 temperature: no ada_p: No Discriminator_loss: 0.700064 Generator_loss: 1.23337
[INFO] 2020-09-18 20:39:17 > Step: 64200 Progress: 64.2% Elapsed: 6:02:07 temperature: no ada_p: No Discriminator_loss: 0.694425 Generator_loss: 0.902956
[INFO] 2020-09-18 20:39:45 > Step: 64300 Progress: 64.3% Elapsed: 6:02:35 temperature: no ada_p: No Discriminator_loss: 0.768917 Generator_loss: 1.20794
[INFO] 2020-09-18 20:40:14 > Step: 64400 Progress: 64.4% Elapsed: 6:03:04 temperature: no ada_p: No Discriminator_loss: 0.677062 Generator_loss: 1.42167
[INFO] 2020-09-18 20:40:42 > Step: 64500 Progress: 64.5% Elapsed: 6:03:32 temperature: no ada_p: No Discriminator_loss: 0.539128 Generator_loss: 0.783287
[INFO] 2020-09-18 20:41:10 > Step: 64600 Progress: 64.6% Elapsed: 6:04:00 temperature: no ada_p: No Discriminator_loss: 1.22061 Generator_loss: 2.44351
[INFO] 2020-09-18 20:41:39 > Step: 64700 Progress: 64.7% Elapsed: 6:04:29 temperature: no ada_p: No Discriminator_loss: 0.421781 Generator_loss: 1.29206
[INFO] 2020-09-18 20:42:06 > Step: 64800 Progress: 64.8% Elapsed: 6:04:56 temperature: no ada_p: No Discriminator_loss: 0.621375 Generator_loss: 1.47055
[INFO] 2020-09-18 20:42:35 > Step: 64900 Progress: 64.9% Elapsed: 6:05:25 temperature: no ada_p: No Discriminator_loss: 0.733221 Generator_loss: 1.28417
[INFO] 2020-09-18 20:43:03 > Step: 65000 Progress: 65.0% Elapsed: 6:05:53 temperature: no ada_p: No Discriminator_loss: 0.693165 Generator_loss: 1.78812
[INFO] 2020-09-18 20:43:31 > Step: 65100 Progress: 65.1% Elapsed: 6:06:21 temperature: no ada_p: No Discriminator_loss: 0.642646 Generator_loss: -0.0350715
[INFO] 2020-09-18 20:43:59 > Step: 65200 Progress: 65.2% Elapsed: 6:06:49 temperature: no ada_p: No Discriminator_loss: 0.777106 Generator_loss: 0.95396
[INFO] 2020-09-18 20:44:27 > Step: 65300 Progress: 65.3% Elapsed: 6:07:17 temperature: no ada_p: No Discriminator_loss: 0.552055 Generator_loss: 1.6402
[INFO] 2020-09-18 20:44:55 > Step: 65400 Progress: 65.4% Elapsed: 6:07:46 temperature: no ada_p: No Discriminator_loss: 0.571448 Generator_loss: 1.24478
[INFO] 2020-09-18 20:45:24 > Step: 65500 Progress: 65.5% Elapsed: 6:08:14 temperature: no ada_p: No Discriminator_loss: 0.601332 Generator_loss: 1.70754
[INFO] 2020-09-18 20:45:52 > Step: 65600 Progress: 65.6% Elapsed: 6:08:42 temperature: no ada_p: No Discriminator_loss: 0.683948 Generator_loss: 1.73307
[INFO] 2020-09-18 20:46:20 > Step: 65700 Progress: 65.7% Elapsed: 6:09:10 temperature: no ada_p: No Discriminator_loss: 0.838734 Generator_loss: 0.467069
[INFO] 2020-09-18 20:46:48 > Step: 65800 Progress: 65.8% Elapsed: 6:09:38 temperature: no ada_p: No Discriminator_loss: 0.689464 Generator_loss: 1.92101
[INFO] 2020-09-18 20:47:16 > Step: 65900 Progress: 65.9% Elapsed: 6:10:06 temperature: no ada_p: No Discriminator_loss: 0.536398 Generator_loss: 0.951789
[INFO] 2020-09-18 20:47:44 > Step: 66000 Progress: 66.0% Elapsed: 6:10:34 temperature: no ada_p: No Discriminator_loss: 0.610812 Generator_loss: 1.4364