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ICRGAN(C)-train-2020_12_04_13_53_13.log
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ICRGAN(C)-train-2020_12_04_13_53_13.log
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[INFO] 2020-12-04 13:53:13 > Run name : ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 13:53:13 > {'config_path': './src/configs/CIFAR10/ICRGAN(C).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, '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] 2020-12-04 13:53:13 > {'data_processing': {'dataset_name': 'cifar10', 'data_path': './data/cifar10', 'img_size': 32, 'num_classes': 10, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 512, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, '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': 1.0, 'margin': 0.0, 'tempering_type': 'constant', 'tempering_step': 'N/A', 'start_temperature': 1.0, 'end_temperature': 1.0, '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': True, 'real_lambda': 10.0, 'fake_lambda': 10.0, 'zcr': True, 'gen_lambda': 0.5, 'dis_lambda': 20.0, 'sigma_noise': 0.05}, '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': True, 'ema_decay': 0.9999, 'ema_start': 1000}}}
[INFO] 2020-12-04 13:53:13 > Load train datasets...
[INFO] 2020-12-04 13:53:13 > Train dataset size : 50000
[INFO] 2020-12-04 13:53:13 > Load test datasets...
[INFO] 2020-12-04 13:53:15 > Eval dataset size : 10000
[INFO] 2020-12-04 13:53:15 > Build model...
[INFO] 2020-12-04 13:53:15 > Modules are located on models.big_resnet.
[INFO] 2020-12-04 13:53:27 > Prepare EMA for G with decay of 0.9999.
[INFO] 2020-12-04 13:53:28 > Number of parameters: 9416196
[INFO] 2020-12-04 13:53:28 > Generator(
(linear0): Linear(in_features=20, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-12-04 13:53:28 > Number of parameters: 2517186
[INFO] 2020-12-04 13:53:28 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, 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): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, 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(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, 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=192, out_features=1, bias=True)
(linear2): Linear(in_features=192, out_features=512, bias=True)
(embedding): Embedding(10, 512)
)
[INFO] 2020-12-04 13:53:32 > Start training....
[INFO] 2020-12-04 13:59:37 > Step: 100 Progress: 0.1% Elapsed: 0:06:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.22769 Generator_loss: 2.1813
[INFO] 2020-12-04 14:05:47 > Step: 200 Progress: 0.2% Elapsed: 0:12:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.58961 Generator_loss: 2.25096
[INFO] 2020-12-04 14:11:25 > Step: 300 Progress: 0.3% Elapsed: 0:17:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.40656 Generator_loss: 1.95411
[INFO] 2020-12-04 14:17:11 > Step: 400 Progress: 0.4% Elapsed: 0:23:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.37515 Generator_loss: 2.36887
[INFO] 2020-12-04 14:22:37 > Step: 500 Progress: 0.5% Elapsed: 0:29:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.38482 Generator_loss: 2.3083
[INFO] 2020-12-04 14:27:24 > Step: 600 Progress: 0.6% Elapsed: 0:33:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.30675 Generator_loss: 2.11195
[INFO] 2020-12-04 14:32:24 > Step: 700 Progress: 0.7% Elapsed: 0:38:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.47851 Generator_loss: 1.6633
[INFO] 2020-12-04 14:36:46 > Step: 800 Progress: 0.8% Elapsed: 0:43:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.49957 Generator_loss: 1.8145
[INFO] 2020-12-04 14:41:58 > Step: 900 Progress: 0.9% Elapsed: 0:48:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.39523 Generator_loss: 1.80893
[INFO] 2020-12-04 14:48:05 > Step: 1000 Progress: 1.0% Elapsed: 0:54:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.31851 Generator_loss: 1.64753
[INFO] 2020-12-04 14:54:16 > Step: 1100 Progress: 1.1% Elapsed: 1:00:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.49054 Generator_loss: 2.06302
[INFO] 2020-12-04 14:59:57 > Step: 1200 Progress: 1.2% Elapsed: 1:06:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.48902 Generator_loss: 1.88263
[INFO] 2020-12-04 15:04:54 > Step: 1300 Progress: 1.3% Elapsed: 1:11:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.45626 Generator_loss: 1.73062
[INFO] 2020-12-04 15:10:23 > Step: 1400 Progress: 1.4% Elapsed: 1:16:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.47296 Generator_loss: 2.34268
[INFO] 2020-12-04 15:15:39 > Step: 1500 Progress: 1.5% Elapsed: 1:22:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.18867 Generator_loss: 1.93447
[INFO] 2020-12-04 15:20:35 > Step: 1600 Progress: 1.6% Elapsed: 1:27:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.29159 Generator_loss: 1.75129
[INFO] 2020-12-04 15:25:33 > Step: 1700 Progress: 1.7% Elapsed: 1:32:01 temperature: 1.0 ada_p: No Discriminator_loss: 3.44223 Generator_loss: 1.9483
[INFO] 2020-12-04 15:31:46 > Step: 1800 Progress: 1.8% Elapsed: 1:38:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.11916 Generator_loss: 2.15359
[INFO] 2020-12-04 15:37:51 > Step: 1900 Progress: 1.9% Elapsed: 1:44:18 temperature: 1.0 ada_p: No Discriminator_loss: 3.16025 Generator_loss: 1.81286
[INFO] 2020-12-04 15:42:40 > Step: 2000 Progress: 2.0% Elapsed: 1:49:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.26257 Generator_loss: 1.97818
[INFO] 2020-12-04 15:42:40 > Start Evaluation (2000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 15:42:40 > Calculating FID Score....
[INFO] 2020-12-04 15:43:32 > Calculating Inception Score....
[INFO] 2020-12-04 15:44:15 > Calculate F_beta Score....
[INFO] 2020-12-04 15:45:58 > Calculate Accuracies....
[INFO] 2020-12-04 15:46:21 > Calculate Accuracies....
[INFO] 2020-12-04 15:46:30 > F_8 score (Step: 2000, Using test images): 0.7252243354745384
[INFO] 2020-12-04 15:46:30 > F_1/8 score (Step: 2000, Using test images): 0.8959971890979518
[INFO] 2020-12-04 15:46:30 > FID score (Step: 2000, Using test moments): 51.80161863090507
[INFO] 2020-12-04 15:46:30 > Inception score (Step: 2000, 10000 generated images): 5.7466139793396
[INFO] 2020-12-04 15:46:30 > Best FID score (Step: 2000, Using test moments): 51.80161863090507
[INFO] 2020-12-04 15:46:32 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 15:51:36 > Step: 2100 Progress: 2.1% Elapsed: 1:58:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.1661 Generator_loss: 2.13789
[INFO] 2020-12-04 15:56:47 > Step: 2200 Progress: 2.2% Elapsed: 2:03:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.1452 Generator_loss: 1.80113
[INFO] 2020-12-04 16:01:35 > Step: 2300 Progress: 2.3% Elapsed: 2:08:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.38813 Generator_loss: 1.7808
[INFO] 2020-12-04 16:06:35 > Step: 2400 Progress: 2.4% Elapsed: 2:13:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.25085 Generator_loss: 2.00418
[INFO] 2020-12-04 16:10:52 > Step: 2500 Progress: 2.5% Elapsed: 2:17:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.22837 Generator_loss: 2.21799
[INFO] 2020-12-04 16:15:49 > Step: 2600 Progress: 2.6% Elapsed: 2:22:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.22324 Generator_loss: 1.80063
[INFO] 2020-12-04 16:21:42 > Step: 2700 Progress: 2.7% Elapsed: 2:28:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.20815 Generator_loss: 2.16977
[INFO] 2020-12-04 16:27:22 > Step: 2800 Progress: 2.8% Elapsed: 2:33:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.22414 Generator_loss: 1.6831
[INFO] 2020-12-04 16:32:54 > Step: 2900 Progress: 2.9% Elapsed: 2:39:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.26259 Generator_loss: 1.77167
[INFO] 2020-12-04 16:38:10 > Step: 3000 Progress: 3.0% Elapsed: 2:44:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.22368 Generator_loss: 2.06597
[INFO] 2020-12-04 16:43:27 > Step: 3100 Progress: 3.1% Elapsed: 2:49:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.05502 Generator_loss: 2.11203
[INFO] 2020-12-04 16:48:15 > Step: 3200 Progress: 3.2% Elapsed: 2:54:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.12272 Generator_loss: 1.90644
[INFO] 2020-12-04 16:53:08 > Step: 3300 Progress: 3.3% Elapsed: 2:59:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.20526 Generator_loss: 2.00997
[INFO] 2020-12-04 16:57:15 > Step: 3400 Progress: 3.4% Elapsed: 3:03:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.23204 Generator_loss: 1.6217
[INFO] 2020-12-04 17:02:38 > Step: 3500 Progress: 3.5% Elapsed: 3:09:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.1391 Generator_loss: 1.9098
[INFO] 2020-12-04 17:08:33 > Step: 3600 Progress: 3.6% Elapsed: 3:15:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.17751 Generator_loss: 1.67803
[INFO] 2020-12-04 17:13:54 > Step: 3700 Progress: 3.7% Elapsed: 3:20:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.42087 Generator_loss: 2.02634
[INFO] 2020-12-04 17:19:30 > Step: 3800 Progress: 3.8% Elapsed: 3:25:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.19109 Generator_loss: 1.87017
[INFO] 2020-12-04 17:25:04 > Step: 3900 Progress: 3.9% Elapsed: 3:31:31 temperature: 1.0 ada_p: No Discriminator_loss: 3.13283 Generator_loss: 1.94469
[INFO] 2020-12-04 17:29:41 > Step: 4000 Progress: 4.0% Elapsed: 3:36:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.18374 Generator_loss: 1.85695
[INFO] 2020-12-04 17:29:41 > Start Evaluation (4000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 17:29:41 > Calculating FID Score....
[INFO] 2020-12-04 17:30:37 > Calculating Inception Score....
[INFO] 2020-12-04 17:31:22 > Calculate F_beta Score....
[INFO] 2020-12-04 17:33:12 > Calculate Accuracies....
[INFO] 2020-12-04 17:33:24 > Calculate Accuracies....
[INFO] 2020-12-04 17:33:27 > F_8 score (Step: 4000, Using test images): 0.7759707939940151
[INFO] 2020-12-04 17:33:27 > F_1/8 score (Step: 4000, Using test images): 0.8853342894231409
[INFO] 2020-12-04 17:33:27 > FID score (Step: 4000, Using test moments): 47.36640785800313
[INFO] 2020-12-04 17:33:27 > Inception score (Step: 4000, 10000 generated images): 6.305713653564453
[INFO] 2020-12-04 17:33:27 > Best FID score (Step: 4000, Using test moments): 47.36640785800313
[INFO] 2020-12-04 17:33:30 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 17:38:39 > Step: 4100 Progress: 4.1% Elapsed: 3:45:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.23392 Generator_loss: 1.81388
[INFO] 2020-12-04 17:43:52 > Step: 4200 Progress: 4.2% Elapsed: 3:50:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.11584 Generator_loss: 1.85299
[INFO] 2020-12-04 17:48:35 > Step: 4300 Progress: 4.3% Elapsed: 3:55:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.21802 Generator_loss: 2.26363
[INFO] 2020-12-04 17:53:11 > Step: 4400 Progress: 4.4% Elapsed: 3:59:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.085 Generator_loss: 1.89768
[INFO] 2020-12-04 17:58:57 > Step: 4500 Progress: 4.5% Elapsed: 4:05:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.3654 Generator_loss: 1.95636
[INFO] 2020-12-04 18:04:21 > Step: 4600 Progress: 4.6% Elapsed: 4:10:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.08677 Generator_loss: 1.60602
[INFO] 2020-12-04 18:09:34 > Step: 4700 Progress: 4.7% Elapsed: 4:16:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.88512 Generator_loss: 1.99728
[INFO] 2020-12-04 18:15:05 > Step: 4800 Progress: 4.8% Elapsed: 4:21:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.18264 Generator_loss: 2.02348
[INFO] 2020-12-04 18:20:14 > Step: 4900 Progress: 4.9% Elapsed: 4:26:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.10133 Generator_loss: 1.75193
[INFO] 2020-12-04 18:25:41 > Step: 5000 Progress: 5.0% Elapsed: 4:32:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.22456 Generator_loss: 1.81329
[INFO] 2020-12-04 18:30:39 > Step: 5100 Progress: 5.1% Elapsed: 4:37:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.9812 Generator_loss: 1.93148
[INFO] 2020-12-04 18:35:04 > Step: 5200 Progress: 5.2% Elapsed: 4:41:31 temperature: 1.0 ada_p: No Discriminator_loss: 3.12839 Generator_loss: 1.71816
[INFO] 2020-12-04 18:39:49 > Step: 5300 Progress: 5.3% Elapsed: 4:46:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.20954 Generator_loss: 1.89066
[INFO] 2020-12-04 18:43:44 > Step: 5400 Progress: 5.4% Elapsed: 4:50:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.04341 Generator_loss: 1.85659
[INFO] 2020-12-04 18:49:22 > Step: 5500 Progress: 5.5% Elapsed: 4:55:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.28009 Generator_loss: 1.83175
[INFO] 2020-12-04 18:55:41 > Step: 5600 Progress: 5.6% Elapsed: 5:02:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.02407 Generator_loss: 1.97735
[INFO] 2020-12-04 19:01:19 > Step: 5700 Progress: 5.7% Elapsed: 5:07:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.95493 Generator_loss: 2.10095
[INFO] 2020-12-04 19:07:02 > Step: 5800 Progress: 5.8% Elapsed: 5:13:29 temperature: 1.0 ada_p: No Discriminator_loss: 3.1227 Generator_loss: 2.12017
[INFO] 2020-12-04 19:11:59 > Step: 5900 Progress: 5.9% Elapsed: 5:18:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.18556 Generator_loss: 1.755
[INFO] 2020-12-04 19:16:40 > Step: 6000 Progress: 6.0% Elapsed: 5:23:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.22907 Generator_loss: 1.83415
[INFO] 2020-12-04 19:16:40 > Start Evaluation (6000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 19:16:40 > Calculating FID Score....
[INFO] 2020-12-04 19:17:31 > Calculating Inception Score....
[INFO] 2020-12-04 19:18:01 > Calculate F_beta Score....
[INFO] 2020-12-04 19:19:40 > Calculate Accuracies....
[INFO] 2020-12-04 19:19:55 > Calculate Accuracies....
[INFO] 2020-12-04 19:19:59 > F_8 score (Step: 6000, Using test images): 0.8176634955249618
[INFO] 2020-12-04 19:19:59 > F_1/8 score (Step: 6000, Using test images): 0.9105354258692749
[INFO] 2020-12-04 19:19:59 > FID score (Step: 6000, Using test moments): 42.59269277514295
[INFO] 2020-12-04 19:19:59 > Inception score (Step: 6000, 10000 generated images): 7.024619102478027
[INFO] 2020-12-04 19:19:59 > Best FID score (Step: 6000, Using test moments): 42.59269277514295
[INFO] 2020-12-04 19:20:00 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 19:24:46 > Step: 6100 Progress: 6.1% Elapsed: 5:31:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.86053 Generator_loss: 2.17302
[INFO] 2020-12-04 19:29:40 > Step: 6200 Progress: 6.2% Elapsed: 5:36:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.02149 Generator_loss: 1.73231
[INFO] 2020-12-04 19:34:08 > Step: 6300 Progress: 6.3% Elapsed: 5:40:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.04506 Generator_loss: 2.05689
[INFO] 2020-12-04 19:39:47 > Step: 6400 Progress: 6.4% Elapsed: 5:46:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.04437 Generator_loss: 2.03665
[INFO] 2020-12-04 19:45:34 > Step: 6500 Progress: 6.5% Elapsed: 5:52:01 temperature: 1.0 ada_p: No Discriminator_loss: 3.16742 Generator_loss: 1.73531
[INFO] 2020-12-04 19:51:14 > Step: 6600 Progress: 6.6% Elapsed: 5:57:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.1225 Generator_loss: 1.63733
[INFO] 2020-12-04 19:56:17 > Step: 6700 Progress: 6.7% Elapsed: 6:02:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.93839 Generator_loss: 1.82936
[INFO] 2020-12-04 20:01:49 > Step: 6800 Progress: 6.8% Elapsed: 6:08:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.20843 Generator_loss: 1.71326
[INFO] 2020-12-04 20:07:11 > Step: 6900 Progress: 6.9% Elapsed: 6:13:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.09048 Generator_loss: 1.7678
[INFO] 2020-12-04 20:12:21 > Step: 7000 Progress: 7.0% Elapsed: 6:18:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.21271 Generator_loss: 1.74219
[INFO] 2020-12-04 20:17:30 > Step: 7100 Progress: 7.1% Elapsed: 6:23:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.90228 Generator_loss: 1.87538
[INFO] 2020-12-04 20:21:45 > Step: 7200 Progress: 7.2% Elapsed: 6:28:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.98864 Generator_loss: 2.19993
[INFO] 2020-12-04 20:27:27 > Step: 7300 Progress: 7.3% Elapsed: 6:33:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.99939 Generator_loss: 1.96126
[INFO] 2020-12-04 20:33:03 > Step: 7400 Progress: 7.4% Elapsed: 6:39:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.00815 Generator_loss: 2.33222
[INFO] 2020-12-04 20:38:52 > Step: 7500 Progress: 7.5% Elapsed: 6:45:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.07576 Generator_loss: 2.05801
[INFO] 2020-12-04 20:44:31 > Step: 7600 Progress: 7.6% Elapsed: 6:50:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.02969 Generator_loss: 1.89594
[INFO] 2020-12-04 20:49:49 > Step: 7700 Progress: 7.7% Elapsed: 6:56:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.20364 Generator_loss: 1.87739
[INFO] 2020-12-04 20:54:45 > Step: 7800 Progress: 7.8% Elapsed: 7:01:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.19454 Generator_loss: 1.71782
[INFO] 2020-12-04 21:00:05 > Step: 7900 Progress: 7.9% Elapsed: 7:06:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.04585 Generator_loss: 1.77315
[INFO] 2020-12-04 21:04:39 > Step: 8000 Progress: 8.0% Elapsed: 7:11:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.06144 Generator_loss: 2.04793
[INFO] 2020-12-04 21:04:39 > Start Evaluation (8000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 21:04:39 > Calculating FID Score....
[INFO] 2020-12-04 21:05:17 > Calculating Inception Score....
[INFO] 2020-12-04 21:05:58 > Calculate F_beta Score....
[INFO] 2020-12-04 21:07:22 > Calculate Accuracies....
[INFO] 2020-12-04 21:07:37 > Calculate Accuracies....
[INFO] 2020-12-04 21:07:40 > F_8 score (Step: 8000, Using test images): 0.8826072207398735
[INFO] 2020-12-04 21:07:40 > F_1/8 score (Step: 8000, Using test images): 0.9440627727895329
[INFO] 2020-12-04 21:07:40 > FID score (Step: 8000, Using test moments): 35.59462185849492
[INFO] 2020-12-04 21:07:40 > Inception score (Step: 8000, 10000 generated images): 7.692923545837402
[INFO] 2020-12-04 21:07:40 > Best FID score (Step: 8000, Using test moments): 35.59462185849492
[INFO] 2020-12-04 21:07:42 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 21:13:01 > Step: 8100 Progress: 8.1% Elapsed: 7:19:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.09735 Generator_loss: 1.784
[INFO] 2020-12-04 21:18:51 > Step: 8200 Progress: 8.2% Elapsed: 7:25:18 temperature: 1.0 ada_p: No Discriminator_loss: 3.13231 Generator_loss: 2.13943
[INFO] 2020-12-04 21:24:12 > Step: 8300 Progress: 8.3% Elapsed: 7:30:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.82762 Generator_loss: 1.75972
[INFO] 2020-12-04 21:29:30 > Step: 8400 Progress: 8.4% Elapsed: 7:35:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.11181 Generator_loss: 1.83419
[INFO] 2020-12-04 21:34:15 > Step: 8500 Progress: 8.5% Elapsed: 7:40:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.94867 Generator_loss: 1.89013
[INFO] 2020-12-04 21:39:20 > Step: 8600 Progress: 8.6% Elapsed: 7:45:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.14402 Generator_loss: 1.8403
[INFO] 2020-12-04 21:44:18 > Step: 8700 Progress: 8.7% Elapsed: 7:50:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.16297 Generator_loss: 1.82573
[INFO] 2020-12-04 21:49:26 > Step: 8800 Progress: 8.8% Elapsed: 7:55:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.99583 Generator_loss: 2.1202
[INFO] 2020-12-04 21:54:25 > Step: 8900 Progress: 8.9% Elapsed: 8:00:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.09416 Generator_loss: 1.81184
[INFO] 2020-12-04 21:59:23 > Step: 9000 Progress: 9.0% Elapsed: 8:05:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.03025 Generator_loss: 2.04993
[INFO] 2020-12-04 22:03:22 > Step: 9100 Progress: 9.1% Elapsed: 8:09:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.25839 Generator_loss: 2.10715
[INFO] 2020-12-04 22:09:08 > Step: 9200 Progress: 9.2% Elapsed: 8:15:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.87022 Generator_loss: 2.06055
[INFO] 2020-12-04 22:15:14 > Step: 9300 Progress: 9.3% Elapsed: 8:21:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.16906 Generator_loss: 1.48688
[INFO] 2020-12-04 22:20:40 > Step: 9400 Progress: 9.4% Elapsed: 8:27:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.12517 Generator_loss: 1.71757
[INFO] 2020-12-04 22:25:55 > Step: 9500 Progress: 9.5% Elapsed: 8:32:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.0032 Generator_loss: 1.86898
[INFO] 2020-12-04 22:31:24 > Step: 9600 Progress: 9.6% Elapsed: 8:37:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.14291 Generator_loss: 1.87017
[INFO] 2020-12-04 22:36:12 > Step: 9700 Progress: 9.7% Elapsed: 8:42:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.12574 Generator_loss: 1.81005
[INFO] 2020-12-04 22:40:25 > Step: 9800 Progress: 9.8% Elapsed: 8:46:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.04561 Generator_loss: 1.94131
[INFO] 2020-12-04 22:45:28 > Step: 9900 Progress: 9.9% Elapsed: 8:51:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.98213 Generator_loss: 1.87572
[INFO] 2020-12-04 22:50:43 > Step: 10000 Progress: 10.0% Elapsed: 8:57:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.03577 Generator_loss: 1.83868
[INFO] 2020-12-04 22:50:43 > Start Evaluation (10000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 22:50:43 > Calculating FID Score....
[INFO] 2020-12-04 22:51:30 > Calculating Inception Score....
[INFO] 2020-12-04 22:51:51 > Calculate F_beta Score....
[INFO] 2020-12-04 22:53:08 > Calculate Accuracies....
[INFO] 2020-12-04 22:53:19 > Calculate Accuracies....
[INFO] 2020-12-04 22:53:22 > F_8 score (Step: 10000, Using test images): 0.9336204291441864
[INFO] 2020-12-04 22:53:22 > F_1/8 score (Step: 10000, Using test images): 0.9588275626766288
[INFO] 2020-12-04 22:53:22 > FID score (Step: 10000, Using test moments): 28.602136962625764
[INFO] 2020-12-04 22:53:22 > Inception score (Step: 10000, 10000 generated images): 8.288593292236328
[INFO] 2020-12-04 22:53:22 > Best FID score (Step: 10000, Using test moments): 28.602136962625764
[INFO] 2020-12-04 22:53:24 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-04 22:58:20 > Step: 10100 Progress: 10.1% Elapsed: 9:04:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.08455 Generator_loss: 1.63925
[INFO] 2020-12-04 23:04:10 > Step: 10200 Progress: 10.2% Elapsed: 9:10:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.08629 Generator_loss: 1.7328
[INFO] 2020-12-04 23:09:53 > Step: 10300 Progress: 10.3% Elapsed: 9:16:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.24302 Generator_loss: 2.19609
[INFO] 2020-12-04 23:15:17 > Step: 10400 Progress: 10.4% Elapsed: 9:21:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.99582 Generator_loss: 2.11193
[INFO] 2020-12-04 23:20:47 > Step: 10500 Progress: 10.5% Elapsed: 9:27:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.07645 Generator_loss: 1.80332
[INFO] 2020-12-04 23:26:23 > Step: 10600 Progress: 10.6% Elapsed: 9:32:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.01076 Generator_loss: 1.79354
[INFO] 2020-12-04 23:30:51 > Step: 10700 Progress: 10.7% Elapsed: 9:37:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.99313 Generator_loss: 1.71822
[INFO] 2020-12-04 23:35:42 > Step: 10800 Progress: 10.8% Elapsed: 9:42:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.93087 Generator_loss: 2.16972
[INFO] 2020-12-04 23:40:39 > Step: 10900 Progress: 10.9% Elapsed: 9:47:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.02465 Generator_loss: 1.94244
[INFO] 2020-12-04 23:44:50 > Step: 11000 Progress: 11.0% Elapsed: 9:51:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.00479 Generator_loss: 1.78166
[INFO] 2020-12-04 23:49:59 > Step: 11100 Progress: 11.1% Elapsed: 9:56:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.00609 Generator_loss: 1.90088
[INFO] 2020-12-04 23:55:57 > Step: 11200 Progress: 11.2% Elapsed: 10:02:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.10508 Generator_loss: 1.86192
[INFO] 2020-12-05 00:01:49 > Step: 11300 Progress: 11.3% Elapsed: 10:08:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.10522 Generator_loss: 1.76637
[INFO] 2020-12-05 00:06:26 > Step: 11400 Progress: 11.4% Elapsed: 10:12:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.9053 Generator_loss: 2.03395
[INFO] 2020-12-05 00:11:55 > Step: 11500 Progress: 11.5% Elapsed: 10:18:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.2297 Generator_loss: 1.81751
[INFO] 2020-12-05 00:17:02 > Step: 11600 Progress: 11.6% Elapsed: 10:23:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.96532 Generator_loss: 1.69491
[INFO] 2020-12-05 00:22:01 > Step: 11700 Progress: 11.7% Elapsed: 10:28:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.75421 Generator_loss: 1.99408
[INFO] 2020-12-05 00:27:08 > Step: 11800 Progress: 11.8% Elapsed: 10:33:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.02166 Generator_loss: 2.04699
[INFO] 2020-12-05 00:32:03 > Step: 11900 Progress: 11.9% Elapsed: 10:38:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.01184 Generator_loss: 1.92622
[INFO] 2020-12-05 00:36:39 > Step: 12000 Progress: 12.0% Elapsed: 10:43:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.08014 Generator_loss: 1.88745
[INFO] 2020-12-05 00:36:39 > Start Evaluation (12000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 00:36:39 > Calculating FID Score....
[INFO] 2020-12-05 00:37:42 > Calculating Inception Score....
[INFO] 2020-12-05 00:38:19 > Calculate F_beta Score....
[INFO] 2020-12-05 00:40:07 > Calculate Accuracies....
[INFO] 2020-12-05 00:40:30 > Calculate Accuracies....
[INFO] 2020-12-05 00:40:36 > F_8 score (Step: 12000, Using test images): 0.9460858327485813
[INFO] 2020-12-05 00:40:36 > F_1/8 score (Step: 12000, Using test images): 0.9723088161216947
[INFO] 2020-12-05 00:40:36 > FID score (Step: 12000, Using test moments): 23.502607691782885
[INFO] 2020-12-05 00:40:36 > Inception score (Step: 12000, 10000 generated images): 8.634069442749023
[INFO] 2020-12-05 00:40:36 > Best FID score (Step: 12000, Using test moments): 23.502607691782885
[INFO] 2020-12-05 00:40:38 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 00:46:00 > Step: 12100 Progress: 12.1% Elapsed: 10:52:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.01352 Generator_loss: 1.93922
[INFO] 2020-12-05 00:51:19 > Step: 12200 Progress: 12.2% Elapsed: 10:57:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.13312 Generator_loss: 2.04116
[INFO] 2020-12-05 00:56:28 > Step: 12300 Progress: 12.3% Elapsed: 11:02:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.82985 Generator_loss: 1.7556
[INFO] 2020-12-05 01:02:01 > Step: 12400 Progress: 12.4% Elapsed: 11:08:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.88074 Generator_loss: 1.65853
[INFO] 2020-12-05 01:07:17 > Step: 12500 Progress: 12.5% Elapsed: 11:13:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.10547 Generator_loss: 2.05409
[INFO] 2020-12-05 01:12:29 > Step: 12600 Progress: 12.6% Elapsed: 11:18:56 temperature: 1.0 ada_p: No Discriminator_loss: 3.11818 Generator_loss: 2.0488
[INFO] 2020-12-05 01:17:40 > Step: 12700 Progress: 12.7% Elapsed: 11:24:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.12171 Generator_loss: 1.85207
[INFO] 2020-12-05 01:22:18 > Step: 12800 Progress: 12.8% Elapsed: 11:28:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.08524 Generator_loss: 1.589
[INFO] 2020-12-05 01:26:30 > Step: 12900 Progress: 12.9% Elapsed: 11:32:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.07635 Generator_loss: 1.92187
[INFO] 2020-12-05 01:31:44 > Step: 13000 Progress: 13.0% Elapsed: 11:38:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.84936 Generator_loss: 2.50367
[INFO] 2020-12-05 01:37:44 > Step: 13100 Progress: 13.1% Elapsed: 11:44:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.14883 Generator_loss: 1.80374
[INFO] 2020-12-05 01:43:21 > Step: 13200 Progress: 13.2% Elapsed: 11:49:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.05871 Generator_loss: 1.84251
[INFO] 2020-12-05 01:48:46 > Step: 13300 Progress: 13.3% Elapsed: 11:55:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.01554 Generator_loss: 1.92043
[INFO] 2020-12-05 01:54:05 > Step: 13400 Progress: 13.4% Elapsed: 12:00:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.87589 Generator_loss: 1.54909
[INFO] 2020-12-05 01:58:55 > Step: 13500 Progress: 13.5% Elapsed: 12:05:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.12791 Generator_loss: 1.84697
[INFO] 2020-12-05 02:03:48 > Step: 13600 Progress: 13.6% Elapsed: 12:10:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.05936 Generator_loss: 1.89722
[INFO] 2020-12-05 02:09:06 > Step: 13700 Progress: 13.7% Elapsed: 12:15:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.05556 Generator_loss: 2.01604
[INFO] 2020-12-05 02:13:38 > Step: 13800 Progress: 13.8% Elapsed: 12:20:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.98387 Generator_loss: 2.00504
[INFO] 2020-12-05 02:18:39 > Step: 13900 Progress: 13.9% Elapsed: 12:25:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.08573 Generator_loss: 2.00099
[INFO] 2020-12-05 02:24:47 > Step: 14000 Progress: 14.0% Elapsed: 12:31:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.02468 Generator_loss: 1.75989
[INFO] 2020-12-05 02:24:47 > Start Evaluation (14000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 02:24:47 > Calculating FID Score....
[INFO] 2020-12-05 02:25:45 > Calculating Inception Score....
[INFO] 2020-12-05 02:26:11 > Calculate F_beta Score....
[INFO] 2020-12-05 02:28:06 > Calculate Accuracies....
[INFO] 2020-12-05 02:28:23 > Calculate Accuracies....
[INFO] 2020-12-05 02:28:26 > F_8 score (Step: 14000, Using test images): 0.9693584377043503
[INFO] 2020-12-05 02:28:26 > F_1/8 score (Step: 14000, Using test images): 0.9703954111535169
[INFO] 2020-12-05 02:28:26 > FID score (Step: 14000, Using test moments): 19.094384669854435
[INFO] 2020-12-05 02:28:26 > Inception score (Step: 14000, 10000 generated images): 8.991727828979492
[INFO] 2020-12-05 02:28:26 > Best FID score (Step: 14000, Using test moments): 19.094384669854435
[INFO] 2020-12-05 02:28:29 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 02:33:33 > Step: 14100 Progress: 14.1% Elapsed: 12:40:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.89855 Generator_loss: 1.83691
[INFO] 2020-12-05 02:38:48 > Step: 14200 Progress: 14.2% Elapsed: 12:45:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.99358 Generator_loss: 1.54422
[INFO] 2020-12-05 02:44:18 > Step: 14300 Progress: 14.3% Elapsed: 12:50:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.11267 Generator_loss: 1.71058
[INFO] 2020-12-05 02:49:33 > Step: 14400 Progress: 14.4% Elapsed: 12:56:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.19433 Generator_loss: 1.8486
[INFO] 2020-12-05 02:54:47 > Step: 14500 Progress: 14.5% Elapsed: 13:01:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.95715 Generator_loss: 1.6689
[INFO] 2020-12-05 02:59:45 > Step: 14600 Progress: 14.6% Elapsed: 13:06:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.91697 Generator_loss: 1.40894
[INFO] 2020-12-05 03:03:44 > Step: 14700 Progress: 14.7% Elapsed: 13:10:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.04288 Generator_loss: 1.84721
[INFO] 2020-12-05 03:08:14 > Step: 14800 Progress: 14.8% Elapsed: 13:14:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.939 Generator_loss: 2.15541
[INFO] 2020-12-05 03:13:21 > Step: 14900 Progress: 14.9% Elapsed: 13:19:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.9531 Generator_loss: 1.97166
[INFO] 2020-12-05 03:19:06 > Step: 15000 Progress: 15.0% Elapsed: 13:25:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.95126 Generator_loss: 1.98524
[INFO] 2020-12-05 03:24:28 > Step: 15100 Progress: 15.1% Elapsed: 13:30:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.86175 Generator_loss: 2.03643
[INFO] 2020-12-05 03:29:55 > Step: 15200 Progress: 15.2% Elapsed: 13:36:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.13126 Generator_loss: 1.9497
[INFO] 2020-12-05 03:35:06 > Step: 15300 Progress: 15.3% Elapsed: 13:41:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.9113 Generator_loss: 2.15479
[INFO] 2020-12-05 03:40:23 > Step: 15400 Progress: 15.4% Elapsed: 13:46:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.98434 Generator_loss: 2.02923
[INFO] 2020-12-05 03:44:52 > Step: 15500 Progress: 15.5% Elapsed: 13:51:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.02195 Generator_loss: 1.88684
[INFO] 2020-12-05 03:49:10 > Step: 15600 Progress: 15.6% Elapsed: 13:55:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.14568 Generator_loss: 1.70316
[INFO] 2020-12-05 03:54:09 > Step: 15700 Progress: 15.7% Elapsed: 14:00:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.1209 Generator_loss: 1.89306
[INFO] 2020-12-05 03:58:21 > Step: 15800 Progress: 15.8% Elapsed: 14:04:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.04941 Generator_loss: 2.09461
[INFO] 2020-12-05 04:03:36 > Step: 15900 Progress: 15.9% Elapsed: 14:10:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.0159 Generator_loss: 1.69722
[INFO] 2020-12-05 04:09:10 > Step: 16000 Progress: 16.0% Elapsed: 14:15:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.99684 Generator_loss: 2.01358
[INFO] 2020-12-05 04:09:10 > Start Evaluation (16000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 04:09:10 > Calculating FID Score....
[INFO] 2020-12-05 04:10:18 > Calculating Inception Score....
[INFO] 2020-12-05 04:11:02 > Calculate F_beta Score....
[INFO] 2020-12-05 04:12:50 > Calculate Accuracies....
[INFO] 2020-12-05 04:13:10 > Calculate Accuracies....
[INFO] 2020-12-05 04:13:20 > F_8 score (Step: 16000, Using test images): 0.9641337239253918
[INFO] 2020-12-05 04:13:20 > F_1/8 score (Step: 16000, Using test images): 0.9744174001669781
[INFO] 2020-12-05 04:13:20 > FID score (Step: 16000, Using test moments): 17.363177946562814
[INFO] 2020-12-05 04:13:20 > Inception score (Step: 16000, 10000 generated images): 8.96435260772705
[INFO] 2020-12-05 04:13:20 > Best FID score (Step: 16000, Using test moments): 17.363177946562814
[INFO] 2020-12-05 04:13:22 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 04:18:37 > Step: 16100 Progress: 16.1% Elapsed: 14:25:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.00254 Generator_loss: 1.82696
[INFO] 2020-12-05 04:23:00 > Step: 16200 Progress: 16.2% Elapsed: 14:29:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.02853 Generator_loss: 1.81452
[INFO] 2020-12-05 04:28:30 > Step: 16300 Progress: 16.3% Elapsed: 14:34:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.98444 Generator_loss: 1.94407
[INFO] 2020-12-05 04:33:33 > Step: 16400 Progress: 16.4% Elapsed: 14:40:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.96749 Generator_loss: 1.99537
[INFO] 2020-12-05 04:38:42 > Step: 16500 Progress: 16.5% Elapsed: 14:45:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.00371 Generator_loss: 2.12723
[INFO] 2020-12-05 04:43:51 > Step: 16600 Progress: 16.6% Elapsed: 14:50:18 temperature: 1.0 ada_p: No Discriminator_loss: 3.04059 Generator_loss: 1.97088
[INFO] 2020-12-05 04:48:52 > Step: 16700 Progress: 16.7% Elapsed: 14:55:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.00895 Generator_loss: 2.03094
[INFO] 2020-12-05 04:52:52 > Step: 16800 Progress: 16.8% Elapsed: 14:59:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.99451 Generator_loss: 1.88361
[INFO] 2020-12-05 04:57:58 > Step: 16900 Progress: 16.9% Elapsed: 15:04:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.84052 Generator_loss: 1.91094
[INFO] 2020-12-05 05:03:32 > Step: 17000 Progress: 17.0% Elapsed: 15:09:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.89434 Generator_loss: 2.00714
[INFO] 2020-12-05 05:08:55 > Step: 17100 Progress: 17.1% Elapsed: 15:15:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.86848 Generator_loss: 1.99641
[INFO] 2020-12-05 05:14:07 > Step: 17200 Progress: 17.2% Elapsed: 15:20:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.87835 Generator_loss: 1.71625
[INFO] 2020-12-05 05:19:27 > Step: 17300 Progress: 17.3% Elapsed: 15:25:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.07553 Generator_loss: 2.04668
[INFO] 2020-12-05 05:24:46 > Step: 17400 Progress: 17.4% Elapsed: 15:31:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.08172 Generator_loss: 1.80278
[INFO] 2020-12-05 05:29:36 > Step: 17500 Progress: 17.5% Elapsed: 15:36:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.99628 Generator_loss: 1.91412
[INFO] 2020-12-05 05:34:06 > Step: 17600 Progress: 17.6% Elapsed: 15:40:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.93034 Generator_loss: 1.92654
[INFO] 2020-12-05 05:38:52 > Step: 17700 Progress: 17.7% Elapsed: 15:45:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.07567 Generator_loss: 1.98853
[INFO] 2020-12-05 05:42:54 > Step: 17800 Progress: 17.8% Elapsed: 15:49:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.08542 Generator_loss: 1.89459
[INFO] 2020-12-05 05:48:27 > Step: 17900 Progress: 17.9% Elapsed: 15:54:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.10839 Generator_loss: 2.12002
[INFO] 2020-12-05 05:54:11 > Step: 18000 Progress: 18.0% Elapsed: 16:00:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.88549 Generator_loss: 1.88911
[INFO] 2020-12-05 05:54:11 > Start Evaluation (18000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 05:54:11 > Calculating FID Score....
[INFO] 2020-12-05 05:55:11 > Calculating Inception Score....
[INFO] 2020-12-05 05:55:32 > Calculate F_beta Score....
[INFO] 2020-12-05 05:57:27 > Calculate Accuracies....
[INFO] 2020-12-05 05:57:51 > Calculate Accuracies....
[INFO] 2020-12-05 05:57:55 > F_8 score (Step: 18000, Using test images): 0.9739230280878477
[INFO] 2020-12-05 05:57:55 > F_1/8 score (Step: 18000, Using test images): 0.9781237307451388
[INFO] 2020-12-05 05:57:55 > FID score (Step: 18000, Using test moments): 15.820779016763879
[INFO] 2020-12-05 05:57:55 > Inception score (Step: 18000, 10000 generated images): 9.354768753051758
[INFO] 2020-12-05 05:57:55 > Best FID score (Step: 18000, Using test moments): 15.820779016763879
[INFO] 2020-12-05 05:57:57 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 06:03:18 > Step: 18100 Progress: 18.1% Elapsed: 16:09:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.98321 Generator_loss: 2.03907
[INFO] 2020-12-05 06:08:26 > Step: 18200 Progress: 18.2% Elapsed: 16:14:53 temperature: 1.0 ada_p: No Discriminator_loss: 3.07823 Generator_loss: 1.8489
[INFO] 2020-12-05 06:13:05 > Step: 18300 Progress: 18.3% Elapsed: 16:19:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.94825 Generator_loss: 1.88632
[INFO] 2020-12-05 06:18:02 > Step: 18400 Progress: 18.4% Elapsed: 16:24:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.94237 Generator_loss: 1.95596
[INFO] 2020-12-05 06:23:09 > Step: 18500 Progress: 18.5% Elapsed: 16:29:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.97825 Generator_loss: 1.70166
[INFO] 2020-12-05 06:28:01 > Step: 18600 Progress: 18.6% Elapsed: 16:34:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.80477 Generator_loss: 1.99388
[INFO] 2020-12-05 06:32:26 > Step: 18700 Progress: 18.7% Elapsed: 16:38:53 temperature: 1.0 ada_p: No Discriminator_loss: 3.006 Generator_loss: 1.67757
[INFO] 2020-12-05 06:36:44 > Step: 18800 Progress: 18.8% Elapsed: 16:43:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.99288 Generator_loss: 1.93701
[INFO] 2020-12-05 06:41:52 > Step: 18900 Progress: 18.9% Elapsed: 16:48:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.05902 Generator_loss: 2.08098
[INFO] 2020-12-05 06:47:31 > Step: 19000 Progress: 19.0% Elapsed: 16:53:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.99688 Generator_loss: 2.07514
[INFO] 2020-12-05 06:52:52 > Step: 19100 Progress: 19.1% Elapsed: 16:59:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.0778 Generator_loss: 1.82381
[INFO] 2020-12-05 06:58:07 > Step: 19200 Progress: 19.2% Elapsed: 17:04:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.02824 Generator_loss: 1.73924
[INFO] 2020-12-05 07:03:23 > Step: 19300 Progress: 19.3% Elapsed: 17:09:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.07027 Generator_loss: 1.5061
[INFO] 2020-12-05 07:08:24 > Step: 19400 Progress: 19.4% Elapsed: 17:14:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.99093 Generator_loss: 1.87388
[INFO] 2020-12-05 07:13:35 > Step: 19500 Progress: 19.5% Elapsed: 17:20:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.9921 Generator_loss: 1.6621
[INFO] 2020-12-05 07:18:12 > Step: 19600 Progress: 19.6% Elapsed: 17:24:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.90742 Generator_loss: 1.65156
[INFO] 2020-12-05 07:22:10 > Step: 19700 Progress: 19.7% Elapsed: 17:28:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.0091 Generator_loss: 1.63151
[INFO] 2020-12-05 07:26:14 > Step: 19800 Progress: 19.8% Elapsed: 17:32:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.29261 Generator_loss: 1.80706
[INFO] 2020-12-05 07:31:38 > Step: 19900 Progress: 19.9% Elapsed: 17:38:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.85774 Generator_loss: 1.78809
[INFO] 2020-12-05 07:37:21 > Step: 20000 Progress: 20.0% Elapsed: 17:43:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.95869 Generator_loss: 1.95305
[INFO] 2020-12-05 07:37:21 > Start Evaluation (20000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 07:37:21 > Calculating FID Score....
[INFO] 2020-12-05 07:38:25 > Calculating Inception Score....
[INFO] 2020-12-05 07:38:57 > Calculate F_beta Score....
[INFO] 2020-12-05 07:40:47 > Calculate Accuracies....
[INFO] 2020-12-05 07:41:02 > Calculate Accuracies....
[INFO] 2020-12-05 07:41:05 > F_8 score (Step: 20000, Using test images): 0.9707849122812204
[INFO] 2020-12-05 07:41:05 > F_1/8 score (Step: 20000, Using test images): 0.9748696215008817
[INFO] 2020-12-05 07:41:05 > FID score (Step: 20000, Using test moments): 14.40528550311302
[INFO] 2020-12-05 07:41:05 > Inception score (Step: 20000, 10000 generated images): 9.106986999511719
[INFO] 2020-12-05 07:41:05 > Best FID score (Step: 20000, Using test moments): 14.40528550311302
[INFO] 2020-12-05 07:41:08 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 07:46:26 > Step: 20100 Progress: 20.1% Elapsed: 17:52:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.91241 Generator_loss: 1.84644
[INFO] 2020-12-05 07:51:45 > Step: 20200 Progress: 20.2% Elapsed: 17:58:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.95194 Generator_loss: 1.7593
[INFO] 2020-12-05 07:55:56 > Step: 20300 Progress: 20.3% Elapsed: 18:02:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.10183 Generator_loss: 1.81189
[INFO] 2020-12-05 08:00:36 > Step: 20400 Progress: 20.4% Elapsed: 18:07:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.88581 Generator_loss: 1.73786
[INFO] 2020-12-05 08:05:38 > Step: 20500 Progress: 20.5% Elapsed: 18:12:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.9471 Generator_loss: 2.09464
[INFO] 2020-12-05 08:10:50 > Step: 20600 Progress: 20.6% Elapsed: 18:17:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.91326 Generator_loss: 1.77271
[INFO] 2020-12-05 08:15:17 > Step: 20700 Progress: 20.7% Elapsed: 18:21:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.90633 Generator_loss: 2.06347
[INFO] 2020-12-05 08:20:11 > Step: 20800 Progress: 20.8% Elapsed: 18:26:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.02288 Generator_loss: 1.78367
[INFO] 2020-12-05 08:25:50 > Step: 20900 Progress: 20.9% Elapsed: 18:32:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.89639 Generator_loss: 1.76438
[INFO] 2020-12-05 08:30:30 > Step: 21000 Progress: 21.0% Elapsed: 18:36:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.96398 Generator_loss: 1.83371
[INFO] 2020-12-05 08:35:49 > Step: 21100 Progress: 21.1% Elapsed: 18:42:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.84983 Generator_loss: 2.02085
[INFO] 2020-12-05 08:40:57 > Step: 21200 Progress: 21.2% Elapsed: 18:47:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.07391 Generator_loss: 1.83273
[INFO] 2020-12-05 08:46:01 > Step: 21300 Progress: 21.3% Elapsed: 18:52:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.0317 Generator_loss: 1.96095
[INFO] 2020-12-05 08:50:53 > Step: 21400 Progress: 21.4% Elapsed: 18:57:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.91843 Generator_loss: 1.97363
[INFO] 2020-12-05 08:56:11 > Step: 21500 Progress: 21.5% Elapsed: 19:02:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.9581 Generator_loss: 1.93958
[INFO] 2020-12-05 09:01:02 > Step: 21600 Progress: 21.6% Elapsed: 19:07:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.91954 Generator_loss: 2.05977
[INFO] 2020-12-05 09:05:34 > Step: 21700 Progress: 21.7% Elapsed: 19:12:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.98896 Generator_loss: 1.63986
[INFO] 2020-12-05 09:09:03 > Step: 21800 Progress: 21.8% Elapsed: 19:15:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.90883 Generator_loss: 1.78154
[INFO] 2020-12-05 09:14:35 > Step: 21900 Progress: 21.9% Elapsed: 19:21:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.88247 Generator_loss: 2.01893
[INFO] 2020-12-05 09:20:28 > Step: 22000 Progress: 22.0% Elapsed: 19:26:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.08287 Generator_loss: 1.79636
[INFO] 2020-12-05 09:20:28 > Start Evaluation (22000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 09:20:28 > Calculating FID Score....
[INFO] 2020-12-05 09:21:26 > Calculating Inception Score....
[INFO] 2020-12-05 09:21:49 > Calculate F_beta Score....
[INFO] 2020-12-05 09:23:43 > Calculate Accuracies....
[INFO] 2020-12-05 09:24:08 > Calculate Accuracies....
[INFO] 2020-12-05 09:24:11 > F_8 score (Step: 22000, Using test images): 0.9763060878239618
[INFO] 2020-12-05 09:24:11 > F_1/8 score (Step: 22000, Using test images): 0.9778819039620312
[INFO] 2020-12-05 09:24:11 > FID score (Step: 22000, Using test moments): 13.92766149010123
[INFO] 2020-12-05 09:24:11 > Inception score (Step: 22000, 10000 generated images): 9.264080047607422
[INFO] 2020-12-05 09:24:11 > Best FID score (Step: 22000, Using test moments): 13.92766149010123
[INFO] 2020-12-05 09:24:14 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 09:29:35 > Step: 22100 Progress: 22.1% Elapsed: 19:36:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.98503 Generator_loss: 2.19568
[INFO] 2020-12-05 09:34:48 > Step: 22200 Progress: 22.2% Elapsed: 19:41:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.0302 Generator_loss: 2.09398
[INFO] 2020-12-05 09:39:49 > Step: 22300 Progress: 22.3% Elapsed: 19:46:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.03185 Generator_loss: 1.82462
[INFO] 2020-12-05 09:44:18 > Step: 22400 Progress: 22.4% Elapsed: 19:50:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.88845 Generator_loss: 2.09362
[INFO] 2020-12-05 09:49:18 > Step: 22500 Progress: 22.5% Elapsed: 19:55:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.99549 Generator_loss: 2.01903
[INFO] 2020-12-05 09:54:13 > Step: 22600 Progress: 22.6% Elapsed: 20:00:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.08168 Generator_loss: 2.01938
[INFO] 2020-12-05 09:58:15 > Step: 22700 Progress: 22.7% Elapsed: 20:04:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.14902 Generator_loss: 1.99655
[INFO] 2020-12-05 10:03:40 > Step: 22800 Progress: 22.8% Elapsed: 20:10:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.87821 Generator_loss: 2.0457
[INFO] 2020-12-05 10:09:21 > Step: 22900 Progress: 22.9% Elapsed: 20:15:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.03703 Generator_loss: 1.71272
[INFO] 2020-12-05 10:15:00 > Step: 23000 Progress: 23.0% Elapsed: 20:21:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.0106 Generator_loss: 1.85729
[INFO] 2020-12-05 10:19:36 > Step: 23100 Progress: 23.1% Elapsed: 20:26:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.17972 Generator_loss: 2.11052
[INFO] 2020-12-05 10:24:47 > Step: 23200 Progress: 23.2% Elapsed: 20:31:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.96031 Generator_loss: 1.97649
[INFO] 2020-12-05 10:29:57 > Step: 23300 Progress: 23.3% Elapsed: 20:36:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.05212 Generator_loss: 2.0605
[INFO] 2020-12-05 10:35:17 > Step: 23400 Progress: 23.4% Elapsed: 20:41:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.07778 Generator_loss: 2.06632
[INFO] 2020-12-05 10:40:07 > Step: 23500 Progress: 23.5% Elapsed: 20:46:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.04733 Generator_loss: 1.85758
[INFO] 2020-12-05 10:45:03 > Step: 23600 Progress: 23.6% Elapsed: 20:51:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.01488 Generator_loss: 2.08373
[INFO] 2020-12-05 10:49:07 > Step: 23700 Progress: 23.7% Elapsed: 20:55:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.92364 Generator_loss: 1.65251
[INFO] 2020-12-05 10:53:41 > Step: 23800 Progress: 23.8% Elapsed: 21:00:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.13596 Generator_loss: 1.91737
[INFO] 2020-12-05 10:59:19 > Step: 23900 Progress: 23.9% Elapsed: 21:05:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.88456 Generator_loss: 2.15527
[INFO] 2020-12-05 11:04:47 > Step: 24000 Progress: 24.0% Elapsed: 21:11:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.84688 Generator_loss: 2.11605
[INFO] 2020-12-05 11:04:47 > Start Evaluation (24000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 11:04:47 > Calculating FID Score....
[INFO] 2020-12-05 11:05:53 > Calculating Inception Score....
[INFO] 2020-12-05 11:06:37 > Calculate F_beta Score....
[INFO] 2020-12-05 11:08:29 > Calculate Accuracies....
[INFO] 2020-12-05 11:08:53 > Calculate Accuracies....
[INFO] 2020-12-05 11:09:02 > F_8 score (Step: 24000, Using test images): 0.976426421123738
[INFO] 2020-12-05 11:09:02 > F_1/8 score (Step: 24000, Using test images): 0.9818784057985172
[INFO] 2020-12-05 11:09:02 > FID score (Step: 24000, Using test moments): 13.031903838835433
[INFO] 2020-12-05 11:09:02 > Inception score (Step: 24000, 10000 generated images): 9.292184829711914
[INFO] 2020-12-05 11:09:02 > Best FID score (Step: 24000, Using test moments): 13.031903838835433
[INFO] 2020-12-05 11:09:04 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 11:14:35 > Step: 24100 Progress: 24.1% Elapsed: 21:21:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.00449 Generator_loss: 2.02319
[INFO] 2020-12-05 11:19:55 > Step: 24200 Progress: 24.2% Elapsed: 21:26:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.94539 Generator_loss: 1.77919
[INFO] 2020-12-05 11:24:47 > Step: 24300 Progress: 24.3% Elapsed: 21:31:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.84066 Generator_loss: 1.846
[INFO] 2020-12-05 11:29:12 > Step: 24400 Progress: 24.4% Elapsed: 21:35:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.02706 Generator_loss: 2.05032
[INFO] 2020-12-05 11:34:29 > Step: 24500 Progress: 24.5% Elapsed: 21:40:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.92729 Generator_loss: 2.01609
[INFO] 2020-12-05 11:38:55 > Step: 24600 Progress: 24.6% Elapsed: 21:45:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.03039 Generator_loss: 1.77908
[INFO] 2020-12-05 11:43:31 > Step: 24700 Progress: 24.7% Elapsed: 21:49:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.89907 Generator_loss: 1.85078
[INFO] 2020-12-05 11:49:18 > Step: 24800 Progress: 24.8% Elapsed: 21:55:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.9045 Generator_loss: 1.8512
[INFO] 2020-12-05 11:54:54 > Step: 24900 Progress: 24.9% Elapsed: 22:01:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.04966 Generator_loss: 1.95
[INFO] 2020-12-05 12:00:21 > Step: 25000 Progress: 25.0% Elapsed: 22:06:48 temperature: 1.0 ada_p: No Discriminator_loss: 3.05907 Generator_loss: 1.76854
[INFO] 2020-12-05 12:04:57 > Step: 25100 Progress: 25.1% Elapsed: 22:11:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.0022 Generator_loss: 1.84914
[INFO] 2020-12-05 12:09:31 > Step: 25200 Progress: 25.2% Elapsed: 22:15:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.99088 Generator_loss: 1.99069
[INFO] 2020-12-05 12:12:45 > Step: 25300 Progress: 25.3% Elapsed: 22:19:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.89819 Generator_loss: 2.08562
[INFO] 2020-12-05 12:16:02 > Step: 25400 Progress: 25.4% Elapsed: 22:22:29 temperature: 1.0 ada_p: No Discriminator_loss: 3.09222 Generator_loss: 2.0829
[INFO] 2020-12-05 12:19:18 > Step: 25500 Progress: 25.5% Elapsed: 22:25:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.07208 Generator_loss: 2.10512
[INFO] 2020-12-05 12:22:30 > Step: 25600 Progress: 25.6% Elapsed: 22:28:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.10548 Generator_loss: 1.95704
[INFO] 2020-12-05 12:25:46 > Step: 25700 Progress: 25.7% Elapsed: 22:32:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.78598 Generator_loss: 2.09715
[INFO] 2020-12-05 12:29:04 > Step: 25800 Progress: 25.8% Elapsed: 22:35:31 temperature: 1.0 ada_p: No Discriminator_loss: 3.05244 Generator_loss: 1.75896
[INFO] 2020-12-05 12:32:18 > Step: 25900 Progress: 25.9% Elapsed: 22:38:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.91149 Generator_loss: 1.94406
[INFO] 2020-12-05 12:35:35 > Step: 26000 Progress: 26.0% Elapsed: 22:42:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.89443 Generator_loss: 2.07689
[INFO] 2020-12-05 12:35:35 > Start Evaluation (26000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 12:35:35 > Calculating FID Score....
[INFO] 2020-12-05 12:36:17 > Calculating Inception Score....
[INFO] 2020-12-05 12:36:36 > Calculate F_beta Score....
[INFO] 2020-12-05 12:37:40 > Calculate Accuracies....
[INFO] 2020-12-05 12:37:50 > Calculate Accuracies....
[INFO] 2020-12-05 12:37:52 > F_8 score (Step: 26000, Using test images): 0.9774732971088647
[INFO] 2020-12-05 12:37:52 > F_1/8 score (Step: 26000, Using test images): 0.9824163764350605
[INFO] 2020-12-05 12:37:52 > FID score (Step: 26000, Using test moments): 12.753269432053457
[INFO] 2020-12-05 12:37:52 > Inception score (Step: 26000, 10000 generated images): 9.201994895935059
[INFO] 2020-12-05 12:37:52 > Best FID score (Step: 26000, Using test moments): 12.753269432053457
[INFO] 2020-12-05 12:37:54 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 12:40:37 > Step: 26100 Progress: 26.1% Elapsed: 22:47:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.98853 Generator_loss: 1.75935
[INFO] 2020-12-05 12:43:52 > Step: 26200 Progress: 26.2% Elapsed: 22:50:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.97714 Generator_loss: 1.92497
[INFO] 2020-12-05 12:46:48 > Step: 26300 Progress: 26.3% Elapsed: 22:53:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.90285 Generator_loss: 1.89252
[INFO] 2020-12-05 12:50:03 > Step: 26400 Progress: 26.4% Elapsed: 22:56:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.03279 Generator_loss: 1.71461
[INFO] 2020-12-05 12:53:18 > Step: 26500 Progress: 26.5% Elapsed: 22:59:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.95849 Generator_loss: 1.62668
[INFO] 2020-12-05 12:56:37 > Step: 26600 Progress: 26.6% Elapsed: 23:03:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.96271 Generator_loss: 2.01972
[INFO] 2020-12-05 12:59:53 > Step: 26700 Progress: 26.7% Elapsed: 23:06:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.93915 Generator_loss: 2.10359
[INFO] 2020-12-05 13:03:12 > Step: 26800 Progress: 26.8% Elapsed: 23:09:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.9299 Generator_loss: 2.10668
[INFO] 2020-12-05 13:06:27 > Step: 26900 Progress: 26.9% Elapsed: 23:12:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.89687 Generator_loss: 1.81841
[INFO] 2020-12-05 13:09:42 > Step: 27000 Progress: 27.0% Elapsed: 23:16:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.95067 Generator_loss: 1.9671
[INFO] 2020-12-05 13:12:25 > Step: 27100 Progress: 27.1% Elapsed: 23:18:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.91936 Generator_loss: 2.25257
[INFO] 2020-12-05 13:15:12 > Step: 27200 Progress: 27.2% Elapsed: 23:21:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.98806 Generator_loss: 2.14337
[INFO] 2020-12-05 13:18:27 > Step: 27300 Progress: 27.3% Elapsed: 23:24:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.01987 Generator_loss: 2.05582
[INFO] 2020-12-05 13:21:42 > Step: 27400 Progress: 27.4% Elapsed: 23:28:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.81762 Generator_loss: 2.07746
[INFO] 2020-12-05 13:24:56 > Step: 27500 Progress: 27.5% Elapsed: 23:31:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.82284 Generator_loss: 1.96279
[INFO] 2020-12-05 13:28:11 > Step: 27600 Progress: 27.6% Elapsed: 23:34:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.84621 Generator_loss: 1.78758
[INFO] 2020-12-05 13:31:28 > Step: 27700 Progress: 27.7% Elapsed: 23:37:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.06286 Generator_loss: 2.0628
[INFO] 2020-12-05 13:34:44 > Step: 27800 Progress: 27.8% Elapsed: 23:41:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.96057 Generator_loss: 2.01248
[INFO] 2020-12-05 13:38:01 > Step: 27900 Progress: 27.9% Elapsed: 23:44:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.04897 Generator_loss: 2.13869
[INFO] 2020-12-05 13:41:16 > Step: 28000 Progress: 28.0% Elapsed: 23:47:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.07362 Generator_loss: 1.8717
[INFO] 2020-12-05 13:41:16 > Start Evaluation (28000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 13:41:16 > Calculating FID Score....
[INFO] 2020-12-05 13:41:59 > Calculating Inception Score....
[INFO] 2020-12-05 13:42:19 > Calculate F_beta Score....
[INFO] 2020-12-05 13:43:36 > Calculate Accuracies....
[INFO] 2020-12-05 13:43:50 > Calculate Accuracies....
[INFO] 2020-12-05 13:43:53 > F_8 score (Step: 28000, Using test images): 0.9803534522412158
[INFO] 2020-12-05 13:43:53 > F_1/8 score (Step: 28000, Using test images): 0.9807617435181089
[INFO] 2020-12-05 13:43:53 > FID score (Step: 28000, Using test moments): 12.54397309499251
[INFO] 2020-12-05 13:43:53 > Inception score (Step: 28000, 10000 generated images): 9.27214527130127
[INFO] 2020-12-05 13:43:53 > Best FID score (Step: 28000, Using test moments): 12.54397309499251
[INFO] 2020-12-05 13:43:55 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 13:46:43 > Step: 28100 Progress: 28.1% Elapsed: 23:53:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.03259 Generator_loss: 1.79283
[INFO] 2020-12-05 13:49:07 > Step: 28200 Progress: 28.2% Elapsed: 23:55:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.02021 Generator_loss: 1.98426
[INFO] 2020-12-05 13:52:12 > Step: 28300 Progress: 28.3% Elapsed: 23:58:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.96402 Generator_loss: 1.99413
[INFO] 2020-12-05 13:55:25 > Step: 28400 Progress: 28.4% Elapsed: 1 day, 0:01:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.90987 Generator_loss: 1.84999
[INFO] 2020-12-05 13:58:42 > Step: 28500 Progress: 28.5% Elapsed: 1 day, 0:05:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.03323 Generator_loss: 2.08649
[INFO] 2020-12-05 14:01:57 > Step: 28600 Progress: 28.6% Elapsed: 1 day, 0:08:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.91068 Generator_loss: 1.82486
[INFO] 2020-12-05 14:05:12 > Step: 28700 Progress: 28.7% Elapsed: 1 day, 0:11:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.75026 Generator_loss: 1.74391
[INFO] 2020-12-05 14:08:27 > Step: 28800 Progress: 28.8% Elapsed: 1 day, 0:14:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.07572 Generator_loss: 2.06278
[INFO] 2020-12-05 14:11:45 > Step: 28900 Progress: 28.9% Elapsed: 1 day, 0:18:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.96858 Generator_loss: 2.15025
[INFO] 2020-12-05 14:15:01 > Step: 29000 Progress: 29.0% Elapsed: 1 day, 0:21:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.97143 Generator_loss: 1.90471
[INFO] 2020-12-05 14:18:16 > Step: 29100 Progress: 29.1% Elapsed: 1 day, 0:24:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.02342 Generator_loss: 1.98366
[INFO] 2020-12-05 14:21:03 > Step: 29200 Progress: 29.2% Elapsed: 1 day, 0:27:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.04808 Generator_loss: 1.88086
[INFO] 2020-12-05 14:23:50 > Step: 29300 Progress: 29.3% Elapsed: 1 day, 0:30:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.96828 Generator_loss: 2.18655
[INFO] 2020-12-05 14:27:02 > Step: 29400 Progress: 29.4% Elapsed: 1 day, 0:33:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.95747 Generator_loss: 2.29099
[INFO] 2020-12-05 14:30:16 > Step: 29500 Progress: 29.5% Elapsed: 1 day, 0:36:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.01165 Generator_loss: 2.04324
[INFO] 2020-12-05 14:33:31 > Step: 29600 Progress: 29.6% Elapsed: 1 day, 0:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.01131 Generator_loss: 1.98331
[INFO] 2020-12-05 14:36:46 > Step: 29700 Progress: 29.7% Elapsed: 1 day, 0:43:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.96887 Generator_loss: 2.12108
[INFO] 2020-12-05 14:39:59 > Step: 29800 Progress: 29.8% Elapsed: 1 day, 0:46:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.0947 Generator_loss: 1.79988
[INFO] 2020-12-05 14:43:15 > Step: 29900 Progress: 29.9% Elapsed: 1 day, 0:49:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.05463 Generator_loss: 2.21446
[INFO] 2020-12-05 14:46:29 > Step: 30000 Progress: 30.0% Elapsed: 1 day, 0:52:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.97435 Generator_loss: 1.8864
[INFO] 2020-12-05 14:46:29 > Start Evaluation (30000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 14:46:29 > Calculating FID Score....
[INFO] 2020-12-05 14:47:11 > Calculating Inception Score....
[INFO] 2020-12-05 14:47:31 > Calculate F_beta Score....
[INFO] 2020-12-05 14:48:51 > Calculate Accuracies....
[INFO] 2020-12-05 14:49:04 > Calculate Accuracies....
[INFO] 2020-12-05 14:49:08 > F_8 score (Step: 30000, Using test images): 0.9781900585835714
[INFO] 2020-12-05 14:49:08 > F_1/8 score (Step: 30000, Using test images): 0.9841622095697611
[INFO] 2020-12-05 14:49:08 > FID score (Step: 30000, Using test moments): 11.80001276369353
[INFO] 2020-12-05 14:49:08 > Inception score (Step: 30000, 10000 generated images): 9.500264167785645
[INFO] 2020-12-05 14:49:08 > Best FID score (Step: 30000, Using test moments): 11.80001276369353
[INFO] 2020-12-05 14:49:10 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 14:52:15 > Step: 30100 Progress: 30.1% Elapsed: 1 day, 0:58:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.89443 Generator_loss: 1.98533
[INFO] 2020-12-05 14:54:58 > Step: 30200 Progress: 30.2% Elapsed: 1 day, 1:01:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.03506 Generator_loss: 1.72927
[INFO] 2020-12-05 14:57:40 > Step: 30300 Progress: 30.3% Elapsed: 1 day, 1:04:07 temperature: 1.0 ada_p: No Discriminator_loss: 3.01706 Generator_loss: 1.86217
[INFO] 2020-12-05 15:00:49 > Step: 30400 Progress: 30.4% Elapsed: 1 day, 1:07:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.79706 Generator_loss: 2.01176
[INFO] 2020-12-05 15:04:04 > Step: 30500 Progress: 30.5% Elapsed: 1 day, 1:10:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.73471 Generator_loss: 2.02578
[INFO] 2020-12-05 15:07:20 > Step: 30600 Progress: 30.6% Elapsed: 1 day, 1:13:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.12745 Generator_loss: 1.9657
[INFO] 2020-12-05 15:10:35 > Step: 30700 Progress: 30.7% Elapsed: 1 day, 1:17:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.84996 Generator_loss: 1.9857
[INFO] 2020-12-05 15:13:51 > Step: 30800 Progress: 30.8% Elapsed: 1 day, 1:20:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.88793 Generator_loss: 1.86367
[INFO] 2020-12-05 15:17:03 > Step: 30900 Progress: 30.9% Elapsed: 1 day, 1:23:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.05662 Generator_loss: 1.89683
[INFO] 2020-12-05 15:20:20 > Step: 31000 Progress: 31.0% Elapsed: 1 day, 1:26:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.93 Generator_loss: 1.90388
[INFO] 2020-12-05 15:23:34 > Step: 31100 Progress: 31.1% Elapsed: 1 day, 1:30:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.96941 Generator_loss: 2.05675
[INFO] 2020-12-05 15:26:48 > Step: 31200 Progress: 31.2% Elapsed: 1 day, 1:33:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.81341 Generator_loss: 2.17977
[INFO] 2020-12-05 15:29:48 > Step: 31300 Progress: 31.3% Elapsed: 1 day, 1:36:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.07063 Generator_loss: 2.15285
[INFO] 2020-12-05 15:32:31 > Step: 31400 Progress: 31.4% Elapsed: 1 day, 1:38:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.91871 Generator_loss: 1.99046
[INFO] 2020-12-05 15:35:36 > Step: 31500 Progress: 31.5% Elapsed: 1 day, 1:42:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.06541 Generator_loss: 1.94051
[INFO] 2020-12-05 15:38:48 > Step: 31600 Progress: 31.6% Elapsed: 1 day, 1:45:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.91966 Generator_loss: 1.95593
[INFO] 2020-12-05 15:42:03 > Step: 31700 Progress: 31.7% Elapsed: 1 day, 1:48:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.99873 Generator_loss: 2.13056
[INFO] 2020-12-05 15:45:17 > Step: 31800 Progress: 31.8% Elapsed: 1 day, 1:51:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.12286 Generator_loss: 2.09137
[INFO] 2020-12-05 15:48:34 > Step: 31900 Progress: 31.9% Elapsed: 1 day, 1:55:01 temperature: 1.0 ada_p: No Discriminator_loss: 3.04162 Generator_loss: 2.20736
[INFO] 2020-12-05 15:51:49 > Step: 32000 Progress: 32.0% Elapsed: 1 day, 1:58:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.03134 Generator_loss: 1.81665
[INFO] 2020-12-05 15:51:50 > Start Evaluation (32000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 15:51:50 > Calculating FID Score....
[INFO] 2020-12-05 15:52:34 > Calculating Inception Score....
[INFO] 2020-12-05 15:52:54 > Calculate F_beta Score....
[INFO] 2020-12-05 15:54:12 > Calculate Accuracies....
[INFO] 2020-12-05 15:54:24 > Calculate Accuracies....
[INFO] 2020-12-05 15:54:27 > F_8 score (Step: 32000, Using test images): 0.9744654037917226
[INFO] 2020-12-05 15:54:27 > F_1/8 score (Step: 32000, Using test images): 0.984048038763213
[INFO] 2020-12-05 15:54:27 > FID score (Step: 32000, Using test moments): 11.576281294740113
[INFO] 2020-12-05 15:54:27 > Inception score (Step: 32000, 10000 generated images): 9.481834411621094
[INFO] 2020-12-05 15:54:27 > Best FID score (Step: 32000, Using test moments): 11.576281294740113
[INFO] 2020-12-05 15:54:29 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 15:57:37 > Step: 32100 Progress: 32.1% Elapsed: 1 day, 2:04:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.93202 Generator_loss: 1.91474
[INFO] 2020-12-05 16:00:54 > Step: 32200 Progress: 32.2% Elapsed: 1 day, 2:07:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.00988 Generator_loss: 1.75269
[INFO] 2020-12-05 16:03:50 > Step: 32300 Progress: 32.3% Elapsed: 1 day, 2:10:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.0355 Generator_loss: 1.87954
[INFO] 2020-12-05 16:06:34 > Step: 32400 Progress: 32.4% Elapsed: 1 day, 2:13:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.98952 Generator_loss: 1.90594
[INFO] 2020-12-05 16:09:40 > Step: 32500 Progress: 32.5% Elapsed: 1 day, 2:16:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.91933 Generator_loss: 2.10791
[INFO] 2020-12-05 16:12:55 > Step: 32600 Progress: 32.6% Elapsed: 1 day, 2:19:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.01083 Generator_loss: 2.00418
[INFO] 2020-12-05 16:16:11 > Step: 32700 Progress: 32.7% Elapsed: 1 day, 2:22:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.92464 Generator_loss: 1.6209
[INFO] 2020-12-05 16:19:25 > Step: 32800 Progress: 32.8% Elapsed: 1 day, 2:25:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.87267 Generator_loss: 2.01676
[INFO] 2020-12-05 16:22:43 > Step: 32900 Progress: 32.9% Elapsed: 1 day, 2:29:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.86878 Generator_loss: 1.81507
[INFO] 2020-12-05 16:26:01 > Step: 33000 Progress: 33.0% Elapsed: 1 day, 2:32:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.85136 Generator_loss: 1.92481
[INFO] 2020-12-05 16:29:13 > Step: 33100 Progress: 33.1% Elapsed: 1 day, 2:35:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.95062 Generator_loss: 2.2097
[INFO] 2020-12-05 16:32:29 > Step: 33200 Progress: 33.2% Elapsed: 1 day, 2:38:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.92039 Generator_loss: 1.8965
[INFO] 2020-12-05 16:35:46 > Step: 33300 Progress: 33.3% Elapsed: 1 day, 2:42:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.1041 Generator_loss: 1.68866
[INFO] 2020-12-05 16:38:40 > Step: 33400 Progress: 33.4% Elapsed: 1 day, 2:45:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.98252 Generator_loss: 1.98554
[INFO] 2020-12-05 16:41:29 > Step: 33500 Progress: 33.5% Elapsed: 1 day, 2:47:56 temperature: 1.0 ada_p: No Discriminator_loss: 3.15586 Generator_loss: 2.19747
[INFO] 2020-12-05 16:44:35 > Step: 33600 Progress: 33.6% Elapsed: 1 day, 2:51:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.80265 Generator_loss: 2.17905
[INFO] 2020-12-05 16:47:50 > Step: 33700 Progress: 33.7% Elapsed: 1 day, 2:54:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.01004 Generator_loss: 2.11613
[INFO] 2020-12-05 16:51:09 > Step: 33800 Progress: 33.8% Elapsed: 1 day, 2:57:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.06159 Generator_loss: 1.71469
[INFO] 2020-12-05 16:54:26 > Step: 33900 Progress: 33.9% Elapsed: 1 day, 3:00:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.95308 Generator_loss: 2.0431
[INFO] 2020-12-05 16:57:33 > Step: 34000 Progress: 34.0% Elapsed: 1 day, 3:04:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.05478 Generator_loss: 2.13036
[INFO] 2020-12-05 16:57:33 > Start Evaluation (34000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 16:57:33 > Calculating FID Score....
[INFO] 2020-12-05 16:58:13 > Calculating Inception Score....
[INFO] 2020-12-05 16:58:32 > Calculate F_beta Score....
[INFO] 2020-12-05 16:59:49 > Calculate Accuracies....
[INFO] 2020-12-05 17:00:02 > Calculate Accuracies....
[INFO] 2020-12-05 17:00:05 > F_8 score (Step: 34000, Using test images): 0.976005487648518
[INFO] 2020-12-05 17:00:05 > F_1/8 score (Step: 34000, Using test images): 0.9802026529871765
[INFO] 2020-12-05 17:00:05 > FID score (Step: 34000, Using test moments): 11.465993465195652
[INFO] 2020-12-05 17:00:05 > Inception score (Step: 34000, 10000 generated images): 9.411994934082031
[INFO] 2020-12-05 17:00:05 > Best FID score (Step: 34000, Using test moments): 11.465993465195652
[INFO] 2020-12-05 17:00:07 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 17:03:22 > Step: 34100 Progress: 34.1% Elapsed: 1 day, 3:09:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.80675 Generator_loss: 1.79988
[INFO] 2020-12-05 17:06:36 > Step: 34200 Progress: 34.2% Elapsed: 1 day, 3:13:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.93806 Generator_loss: 2.0267
[INFO] 2020-12-05 17:09:52 > Step: 34300 Progress: 34.3% Elapsed: 1 day, 3:16:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.95538 Generator_loss: 2.01507
[INFO] 2020-12-05 17:12:48 > Step: 34400 Progress: 34.4% Elapsed: 1 day, 3:19:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.83768 Generator_loss: 1.72251
[INFO] 2020-12-05 17:15:36 > Step: 34500 Progress: 34.5% Elapsed: 1 day, 3:22:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.88936 Generator_loss: 1.89294
[INFO] 2020-12-05 17:18:37 > Step: 34600 Progress: 34.6% Elapsed: 1 day, 3:25:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.90523 Generator_loss: 2.01115
[INFO] 2020-12-05 17:21:55 > Step: 34700 Progress: 34.7% Elapsed: 1 day, 3:28:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.98365 Generator_loss: 1.66817
[INFO] 2020-12-05 17:25:09 > Step: 34800 Progress: 34.8% Elapsed: 1 day, 3:31:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.08172 Generator_loss: 2.02025
[INFO] 2020-12-05 17:28:25 > Step: 34900 Progress: 34.9% Elapsed: 1 day, 3:34:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.04398 Generator_loss: 2.25208
[INFO] 2020-12-05 17:31:41 > Step: 35000 Progress: 35.0% Elapsed: 1 day, 3:38:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.09127 Generator_loss: 2.12012
[INFO] 2020-12-05 17:34:56 > Step: 35100 Progress: 35.1% Elapsed: 1 day, 3:41:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.93319 Generator_loss: 2.02089
[INFO] 2020-12-05 17:38:11 > Step: 35200 Progress: 35.2% Elapsed: 1 day, 3:44:38 temperature: 1.0 ada_p: No Discriminator_loss: 3.00136 Generator_loss: 1.92831
[INFO] 2020-12-05 17:41:25 > Step: 35300 Progress: 35.3% Elapsed: 1 day, 3:47:52 temperature: 1.0 ada_p: No Discriminator_loss: 3.11948 Generator_loss: 1.92126
[INFO] 2020-12-05 17:44:40 > Step: 35400 Progress: 35.4% Elapsed: 1 day, 3:51:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.94021 Generator_loss: 2.06816
[INFO] 2020-12-05 17:47:35 > Step: 35500 Progress: 35.5% Elapsed: 1 day, 3:54:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.92293 Generator_loss: 1.92738
[INFO] 2020-12-05 17:50:25 > Step: 35600 Progress: 35.6% Elapsed: 1 day, 3:56:53 temperature: 1.0 ada_p: No Discriminator_loss: 3.1579 Generator_loss: 2.33914
[INFO] 2020-12-05 17:53:28 > Step: 35700 Progress: 35.7% Elapsed: 1 day, 3:59:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.92608 Generator_loss: 2.1088
[INFO] 2020-12-05 17:56:45 > Step: 35800 Progress: 35.8% Elapsed: 1 day, 4:03:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.01527 Generator_loss: 2.17266
[INFO] 2020-12-05 17:59:50 > Step: 35900 Progress: 35.9% Elapsed: 1 day, 4:06:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.98392 Generator_loss: 1.98039
[INFO] 2020-12-05 18:02:59 > Step: 36000 Progress: 36.0% Elapsed: 1 day, 4:09:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.77436 Generator_loss: 1.92264
[INFO] 2020-12-05 18:02:59 > Start Evaluation (36000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 18:02:59 > Calculating FID Score....
[INFO] 2020-12-05 18:03:38 > Calculating Inception Score....
[INFO] 2020-12-05 18:03:59 > Calculate F_beta Score....
[INFO] 2020-12-05 18:05:20 > Calculate Accuracies....
[INFO] 2020-12-05 18:05:32 > Calculate Accuracies....
[INFO] 2020-12-05 18:05:36 > F_8 score (Step: 36000, Using test images): 0.9790595882760992
[INFO] 2020-12-05 18:05:36 > F_1/8 score (Step: 36000, Using test images): 0.9859630511963658
[INFO] 2020-12-05 18:05:36 > FID score (Step: 36000, Using test moments): 11.095881008107085
[INFO] 2020-12-05 18:05:36 > Inception score (Step: 36000, 10000 generated images): 9.564082145690918
[INFO] 2020-12-05 18:05:36 > Best FID score (Step: 36000, Using test moments): 11.095881008107085
[INFO] 2020-12-05 18:05:38 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 18:08:55 > Step: 36100 Progress: 36.1% Elapsed: 1 day, 4:15:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.06596 Generator_loss: 1.90825
[INFO] 2020-12-05 18:12:10 > Step: 36200 Progress: 36.2% Elapsed: 1 day, 4:18:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.05562 Generator_loss: 2.03713
[INFO] 2020-12-05 18:15:24 > Step: 36300 Progress: 36.3% Elapsed: 1 day, 4:21:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.96226 Generator_loss: 2.05803
[INFO] 2020-12-05 18:18:40 > Step: 36400 Progress: 36.4% Elapsed: 1 day, 4:25:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.95617 Generator_loss: 2.11231
[INFO] 2020-12-05 18:21:37 > Step: 36500 Progress: 36.5% Elapsed: 1 day, 4:28:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.05026 Generator_loss: 2.01004
[INFO] 2020-12-05 18:24:26 > Step: 36600 Progress: 36.6% Elapsed: 1 day, 4:30:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.94757 Generator_loss: 2.07475
[INFO] 2020-12-05 18:27:30 > Step: 36700 Progress: 36.7% Elapsed: 1 day, 4:33:57 temperature: 1.0 ada_p: No Discriminator_loss: 3.15981 Generator_loss: 1.77366
[INFO] 2020-12-05 18:30:44 > Step: 36800 Progress: 36.8% Elapsed: 1 day, 4:37:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.92079 Generator_loss: 2.05918
[INFO] 2020-12-05 18:33:59 > Step: 36900 Progress: 36.9% Elapsed: 1 day, 4:40:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.11148 Generator_loss: 2.20158
[INFO] 2020-12-05 18:37:13 > Step: 37000 Progress: 37.0% Elapsed: 1 day, 4:43:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.99223 Generator_loss: 2.07681
[INFO] 2020-12-05 18:40:31 > Step: 37100 Progress: 37.1% Elapsed: 1 day, 4:46:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.00987 Generator_loss: 2.00339
[INFO] 2020-12-05 18:43:48 > Step: 37200 Progress: 37.2% Elapsed: 1 day, 4:50:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.02442 Generator_loss: 1.87022
[INFO] 2020-12-05 18:47:02 > Step: 37300 Progress: 37.3% Elapsed: 1 day, 4:53:29 temperature: 1.0 ada_p: No Discriminator_loss: 3.02075 Generator_loss: 1.79047
[INFO] 2020-12-05 18:50:17 > Step: 37400 Progress: 37.4% Elapsed: 1 day, 4:56:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.00678 Generator_loss: 2.18915
[INFO] 2020-12-05 18:53:33 > Step: 37500 Progress: 37.5% Elapsed: 1 day, 5:00:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.96258 Generator_loss: 1.99503
[INFO] 2020-12-05 18:56:32 > Step: 37600 Progress: 37.6% Elapsed: 1 day, 5:02:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.04093 Generator_loss: 1.81636
[INFO] 2020-12-05 18:59:17 > Step: 37700 Progress: 37.7% Elapsed: 1 day, 5:05:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.85855 Generator_loss: 1.89353
[INFO] 2020-12-05 19:01:41 > Step: 37800 Progress: 37.8% Elapsed: 1 day, 5:08:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.01084 Generator_loss: 2.08678
[INFO] 2020-12-05 19:04:23 > Step: 37900 Progress: 37.9% Elapsed: 1 day, 5:10:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.05779 Generator_loss: 1.91911
[INFO] 2020-12-05 19:07:10 > Step: 38000 Progress: 38.0% Elapsed: 1 day, 5:13:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.98742 Generator_loss: 1.83867
[INFO] 2020-12-05 19:07:10 > Start Evaluation (38000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 19:07:10 > Calculating FID Score....
[INFO] 2020-12-05 19:07:49 > Calculating Inception Score....
[INFO] 2020-12-05 19:08:09 > Calculate F_beta Score....
[INFO] 2020-12-05 19:09:23 > Calculate Accuracies....
[INFO] 2020-12-05 19:09:34 > Calculate Accuracies....
[INFO] 2020-12-05 19:09:37 > F_8 score (Step: 38000, Using test images): 0.9758227163763306
[INFO] 2020-12-05 19:09:37 > F_1/8 score (Step: 38000, Using test images): 0.985847311690025
[INFO] 2020-12-05 19:09:37 > FID score (Step: 38000, Using test moments): 10.807580653045534
[INFO] 2020-12-05 19:09:37 > Inception score (Step: 38000, 10000 generated images): 9.533537864685059
[INFO] 2020-12-05 19:09:37 > Best FID score (Step: 38000, Using test moments): 10.807580653045534
[INFO] 2020-12-05 19:09:39 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 19:12:30 > Step: 38100 Progress: 38.1% Elapsed: 1 day, 5:18:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.91114 Generator_loss: 2.09865
[INFO] 2020-12-05 19:15:22 > Step: 38200 Progress: 38.2% Elapsed: 1 day, 5:21:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.02968 Generator_loss: 1.92135
[INFO] 2020-12-05 19:18:15 > Step: 38300 Progress: 38.3% Elapsed: 1 day, 5:24:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.99425 Generator_loss: 1.83087
[INFO] 2020-12-05 19:21:07 > Step: 38400 Progress: 38.4% Elapsed: 1 day, 5:27:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.97651 Generator_loss: 1.90248
[INFO] 2020-12-05 19:24:00 > Step: 38500 Progress: 38.5% Elapsed: 1 day, 5:30:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.05783 Generator_loss: 1.85826
[INFO] 2020-12-05 19:26:40 > Step: 38600 Progress: 38.6% Elapsed: 1 day, 5:33:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.11568 Generator_loss: 2.04228
[INFO] 2020-12-05 19:29:09 > Step: 38700 Progress: 38.7% Elapsed: 1 day, 5:35:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.76597 Generator_loss: 2.08841
[INFO] 2020-12-05 19:31:19 > Step: 38800 Progress: 38.8% Elapsed: 1 day, 5:37:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.86623 Generator_loss: 1.765
[INFO] 2020-12-05 19:33:27 > Step: 38900 Progress: 38.9% Elapsed: 1 day, 5:39:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.87939 Generator_loss: 2.0143
[INFO] 2020-12-05 19:35:31 > Step: 39000 Progress: 39.0% Elapsed: 1 day, 5:41:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.95904 Generator_loss: 1.96971
[INFO] 2020-12-05 19:37:38 > Step: 39100 Progress: 39.1% Elapsed: 1 day, 5:44:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.0552 Generator_loss: 2.02011
[INFO] 2020-12-05 19:39:46 > Step: 39200 Progress: 39.2% Elapsed: 1 day, 5:46:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.01673 Generator_loss: 2.03303
[INFO] 2020-12-05 19:41:52 > Step: 39300 Progress: 39.3% Elapsed: 1 day, 5:48:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.02157 Generator_loss: 1.86863
[INFO] 2020-12-05 19:43:56 > Step: 39400 Progress: 39.4% Elapsed: 1 day, 5:50:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.85233 Generator_loss: 1.98755
[INFO] 2020-12-05 19:46:04 > Step: 39500 Progress: 39.5% Elapsed: 1 day, 5:52:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.97791 Generator_loss: 1.96824
[INFO] 2020-12-05 19:48:10 > Step: 39600 Progress: 39.6% Elapsed: 1 day, 5:54:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.95522 Generator_loss: 1.91791
[INFO] 2020-12-05 19:50:08 > Step: 39700 Progress: 39.7% Elapsed: 1 day, 5:56:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.98707 Generator_loss: 2.04091
[INFO] 2020-12-05 19:52:09 > Step: 39800 Progress: 39.8% Elapsed: 1 day, 5:58:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.81438 Generator_loss: 1.86692
[INFO] 2020-12-05 19:54:12 > Step: 39900 Progress: 39.9% Elapsed: 1 day, 6:00:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.9366 Generator_loss: 1.99451
[INFO] 2020-12-05 19:56:21 > Step: 40000 Progress: 40.0% Elapsed: 1 day, 6:02:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.88577 Generator_loss: 1.86756
[INFO] 2020-12-05 19:56:21 > Start Evaluation (40000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 19:56:21 > Calculating FID Score....
[INFO] 2020-12-05 19:56:54 > Calculating Inception Score....
[INFO] 2020-12-05 19:57:12 > Calculate F_beta Score....
[INFO] 2020-12-05 19:58:14 > Calculate Accuracies....
[INFO] 2020-12-05 19:58:22 > Calculate Accuracies....
[INFO] 2020-12-05 19:58:24 > F_8 score (Step: 40000, Using test images): 0.9756305846629509
[INFO] 2020-12-05 19:58:24 > F_1/8 score (Step: 40000, Using test images): 0.9878275501739084
[INFO] 2020-12-05 19:58:24 > FID score (Step: 40000, Using test moments): 10.4207109633345
[INFO] 2020-12-05 19:58:24 > Inception score (Step: 40000, 10000 generated images): 9.448500633239746
[INFO] 2020-12-05 19:58:24 > Best FID score (Step: 40000, Using test moments): 10.4207109633345
[INFO] 2020-12-05 19:58:25 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 20:00:32 > Step: 40100 Progress: 40.1% Elapsed: 1 day, 6:06:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.10515 Generator_loss: 2.05263
[INFO] 2020-12-05 20:02:38 > Step: 40200 Progress: 40.2% Elapsed: 1 day, 6:09:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.88202 Generator_loss: 1.82452
[INFO] 2020-12-05 20:04:45 > Step: 40300 Progress: 40.3% Elapsed: 1 day, 6:11:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.89042 Generator_loss: 1.94568
[INFO] 2020-12-05 20:06:53 > Step: 40400 Progress: 40.4% Elapsed: 1 day, 6:13:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.00073 Generator_loss: 1.99919
[INFO] 2020-12-05 20:09:00 > Step: 40500 Progress: 40.5% Elapsed: 1 day, 6:15:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.00479 Generator_loss: 1.87019
[INFO] 2020-12-05 20:11:05 > Step: 40600 Progress: 40.6% Elapsed: 1 day, 6:17:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.93846 Generator_loss: 1.90769
[INFO] 2020-12-05 20:13:14 > Step: 40700 Progress: 40.7% Elapsed: 1 day, 6:19:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.01227 Generator_loss: 1.81318
[INFO] 2020-12-05 20:15:20 > Step: 40800 Progress: 40.8% Elapsed: 1 day, 6:21:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.07546 Generator_loss: 2.10626
[INFO] 2020-12-05 20:17:24 > Step: 40900 Progress: 40.9% Elapsed: 1 day, 6:23:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.00742 Generator_loss: 2.07501
[INFO] 2020-12-05 20:19:30 > Step: 41000 Progress: 41.0% Elapsed: 1 day, 6:25:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.93748 Generator_loss: 2.00582
[INFO] 2020-12-05 20:21:34 > Step: 41100 Progress: 41.1% Elapsed: 1 day, 6:28:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.93151 Generator_loss: 2.04723
[INFO] 2020-12-05 20:23:39 > Step: 41200 Progress: 41.2% Elapsed: 1 day, 6:30:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.94945 Generator_loss: 1.94135
[INFO] 2020-12-05 20:25:43 > Step: 41300 Progress: 41.3% Elapsed: 1 day, 6:32:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.0588 Generator_loss: 1.75015
[INFO] 2020-12-05 20:27:48 > Step: 41400 Progress: 41.4% Elapsed: 1 day, 6:34:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.94331 Generator_loss: 2.01299
[INFO] 2020-12-05 20:29:49 > Step: 41500 Progress: 41.5% Elapsed: 1 day, 6:36:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.86214 Generator_loss: 1.89877
[INFO] 2020-12-05 20:31:51 > Step: 41600 Progress: 41.6% Elapsed: 1 day, 6:38:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.99287 Generator_loss: 2.07253
[INFO] 2020-12-05 20:33:51 > Step: 41700 Progress: 41.7% Elapsed: 1 day, 6:40:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.95226 Generator_loss: 1.90925
[INFO] 2020-12-05 20:35:52 > Step: 41800 Progress: 41.8% Elapsed: 1 day, 6:42:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.96367 Generator_loss: 2.13014
[INFO] 2020-12-05 20:37:56 > Step: 41900 Progress: 41.9% Elapsed: 1 day, 6:44:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.00548 Generator_loss: 1.88614
[INFO] 2020-12-05 20:40:00 > Step: 42000 Progress: 42.0% Elapsed: 1 day, 6:46:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.98949 Generator_loss: 1.99932
[INFO] 2020-12-05 20:40:00 > Start Evaluation (42000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 20:40:00 > Calculating FID Score....
[INFO] 2020-12-05 20:40:33 > Calculating Inception Score....
[INFO] 2020-12-05 20:40:51 > Calculate F_beta Score....
[INFO] 2020-12-05 20:41:50 > Calculate Accuracies....
[INFO] 2020-12-05 20:41:58 > Calculate Accuracies....
[INFO] 2020-12-05 20:42:00 > F_8 score (Step: 42000, Using test images): 0.9765006359474798
[INFO] 2020-12-05 20:42:00 > F_1/8 score (Step: 42000, Using test images): 0.9871962776219559
[INFO] 2020-12-05 20:42:00 > FID score (Step: 42000, Using test moments): 10.328410610253513
[INFO] 2020-12-05 20:42:00 > Inception score (Step: 42000, 10000 generated images): 9.486421585083008
[INFO] 2020-12-05 20:42:00 > Best FID score (Step: 42000, Using test moments): 10.328410610253513
[INFO] 2020-12-05 20:42:01 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 20:44:10 > Step: 42100 Progress: 42.1% Elapsed: 1 day, 6:50:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.03066 Generator_loss: 1.94681
[INFO] 2020-12-05 20:46:17 > Step: 42200 Progress: 42.2% Elapsed: 1 day, 6:52:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.87371 Generator_loss: 2.08183
[INFO] 2020-12-05 20:48:24 > Step: 42300 Progress: 42.3% Elapsed: 1 day, 6:54:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.00219 Generator_loss: 1.97047
[INFO] 2020-12-05 20:50:32 > Step: 42400 Progress: 42.4% Elapsed: 1 day, 6:56:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.06805 Generator_loss: 1.84716
[INFO] 2020-12-05 20:52:39 > Step: 42500 Progress: 42.5% Elapsed: 1 day, 6:59:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.01122 Generator_loss: 1.77814
[INFO] 2020-12-05 20:54:46 > Step: 42600 Progress: 42.6% Elapsed: 1 day, 7:01:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.05591 Generator_loss: 2.0532
[INFO] 2020-12-05 20:56:53 > Step: 42700 Progress: 42.7% Elapsed: 1 day, 7:03:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.09174 Generator_loss: 1.86201
[INFO] 2020-12-05 20:59:00 > Step: 42800 Progress: 42.8% Elapsed: 1 day, 7:05:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.04657 Generator_loss: 2.02704
[INFO] 2020-12-05 21:01:06 > Step: 42900 Progress: 42.9% Elapsed: 1 day, 7:07:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.96503 Generator_loss: 1.77883
[INFO] 2020-12-05 21:03:12 > Step: 43000 Progress: 43.0% Elapsed: 1 day, 7:09:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.13573 Generator_loss: 1.79695
[INFO] 2020-12-05 21:05:19 > Step: 43100 Progress: 43.1% Elapsed: 1 day, 7:11:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.98587 Generator_loss: 1.76804
[INFO] 2020-12-05 21:07:27 > Step: 43200 Progress: 43.2% Elapsed: 1 day, 7:13:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.92783 Generator_loss: 2.01572
[INFO] 2020-12-05 21:09:36 > Step: 43300 Progress: 43.3% Elapsed: 1 day, 7:16:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.90853 Generator_loss: 2.08898
[INFO] 2020-12-05 21:11:35 > Step: 43400 Progress: 43.4% Elapsed: 1 day, 7:18:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.9009 Generator_loss: 1.83376
[INFO] 2020-12-05 21:13:39 > Step: 43500 Progress: 43.5% Elapsed: 1 day, 7:20:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.97728 Generator_loss: 2.12939
[INFO] 2020-12-05 21:15:39 > Step: 43600 Progress: 43.6% Elapsed: 1 day, 7:22:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.78965 Generator_loss: 2.14033
[INFO] 2020-12-05 21:17:44 > Step: 43700 Progress: 43.7% Elapsed: 1 day, 7:24:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.96396 Generator_loss: 1.80057
[INFO] 2020-12-05 21:19:50 > Step: 43800 Progress: 43.8% Elapsed: 1 day, 7:26:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.89782 Generator_loss: 1.994
[INFO] 2020-12-05 21:21:56 > Step: 43900 Progress: 43.9% Elapsed: 1 day, 7:28:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.06276 Generator_loss: 2.22205
[INFO] 2020-12-05 21:23:58 > Step: 44000 Progress: 44.0% Elapsed: 1 day, 7:30:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.91671 Generator_loss: 2.00944
[INFO] 2020-12-05 21:23:58 > Start Evaluation (44000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 21:23:58 > Calculating FID Score....
[INFO] 2020-12-05 21:24:31 > Calculating Inception Score....
[INFO] 2020-12-05 21:24:49 > Calculate F_beta Score....
[INFO] 2020-12-05 21:25:50 > Calculate Accuracies....
[INFO] 2020-12-05 21:25:58 > Calculate Accuracies....
[INFO] 2020-12-05 21:26:00 > F_8 score (Step: 44000, Using test images): 0.978440891125812
[INFO] 2020-12-05 21:26:00 > F_1/8 score (Step: 44000, Using test images): 0.9878719287161979
[INFO] 2020-12-05 21:26:00 > FID score (Step: 44000, Using test moments): 10.20507226526098
[INFO] 2020-12-05 21:26:00 > Inception score (Step: 44000, 10000 generated images): 9.650347709655762
[INFO] 2020-12-05 21:26:00 > Best FID score (Step: 44000, Using test moments): 10.20507226526098
[INFO] 2020-12-05 21:26:01 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 21:28:09 > Step: 44100 Progress: 44.1% Elapsed: 1 day, 7:34:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.02493 Generator_loss: 1.81325
[INFO] 2020-12-05 21:30:15 > Step: 44200 Progress: 44.2% Elapsed: 1 day, 7:36:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.07064 Generator_loss: 1.82681
[INFO] 2020-12-05 21:32:22 > Step: 44300 Progress: 44.3% Elapsed: 1 day, 7:38:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.92339 Generator_loss: 1.99133
[INFO] 2020-12-05 21:34:30 > Step: 44400 Progress: 44.4% Elapsed: 1 day, 7:40:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.91215 Generator_loss: 2.12126
[INFO] 2020-12-05 21:36:37 > Step: 44500 Progress: 44.5% Elapsed: 1 day, 7:43:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.96967 Generator_loss: 1.92203
[INFO] 2020-12-05 21:38:46 > Step: 44600 Progress: 44.6% Elapsed: 1 day, 7:45:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.00065 Generator_loss: 2.2232
[INFO] 2020-12-05 21:40:54 > Step: 44700 Progress: 44.7% Elapsed: 1 day, 7:47:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.96143 Generator_loss: 1.93564
[INFO] 2020-12-05 21:43:01 > Step: 44800 Progress: 44.8% Elapsed: 1 day, 7:49:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.99891 Generator_loss: 2.16671
[INFO] 2020-12-05 21:45:08 > Step: 44900 Progress: 44.9% Elapsed: 1 day, 7:51:35 temperature: 1.0 ada_p: No Discriminator_loss: 3.01922 Generator_loss: 1.94558
[INFO] 2020-12-05 21:47:15 > Step: 45000 Progress: 45.0% Elapsed: 1 day, 7:53:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.95251 Generator_loss: 2.15947
[INFO] 2020-12-05 21:49:22 > Step: 45100 Progress: 45.1% Elapsed: 1 day, 7:55:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.03201 Generator_loss: 2.0011
[INFO] 2020-12-05 21:51:27 > Step: 45200 Progress: 45.2% Elapsed: 1 day, 7:57:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.95758 Generator_loss: 2.07236
[INFO] 2020-12-05 21:53:25 > Step: 45300 Progress: 45.3% Elapsed: 1 day, 7:59:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.93353 Generator_loss: 2.03916
[INFO] 2020-12-05 21:55:29 > Step: 45400 Progress: 45.4% Elapsed: 1 day, 8:01:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.85883 Generator_loss: 1.86066
[INFO] 2020-12-05 21:57:26 > Step: 45500 Progress: 45.5% Elapsed: 1 day, 8:03:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.88847 Generator_loss: 1.99647
[INFO] 2020-12-05 21:59:28 > Step: 45600 Progress: 45.6% Elapsed: 1 day, 8:05:56 temperature: 1.0 ada_p: No Discriminator_loss: 3.03388 Generator_loss: 1.92334
[INFO] 2020-12-05 22:01:33 > Step: 45700 Progress: 45.7% Elapsed: 1 day, 8:08:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.98798 Generator_loss: 1.91416
[INFO] 2020-12-05 22:03:37 > Step: 45800 Progress: 45.8% Elapsed: 1 day, 8:10:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.01594 Generator_loss: 1.85032
[INFO] 2020-12-05 22:05:42 > Step: 45900 Progress: 45.9% Elapsed: 1 day, 8:12:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.96182 Generator_loss: 2.0682
[INFO] 2020-12-05 22:07:47 > Step: 46000 Progress: 46.0% Elapsed: 1 day, 8:14:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.9463 Generator_loss: 2.161
[INFO] 2020-12-05 22:07:47 > Start Evaluation (46000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 22:07:47 > Calculating FID Score....
[INFO] 2020-12-05 22:08:21 > Calculating Inception Score....
[INFO] 2020-12-05 22:08:39 > Calculate F_beta Score....
[INFO] 2020-12-05 22:09:40 > Calculate Accuracies....
[INFO] 2020-12-05 22:09:48 > Calculate Accuracies....
[INFO] 2020-12-05 22:09:49 > F_8 score (Step: 46000, Using test images): 0.9804009429261398
[INFO] 2020-12-05 22:09:49 > F_1/8 score (Step: 46000, Using test images): 0.9909003443424339
[INFO] 2020-12-05 22:09:49 > FID score (Step: 46000, Using test moments): 10.053897314056485
[INFO] 2020-12-05 22:09:49 > Inception score (Step: 46000, 10000 generated images): 9.655491828918457
[INFO] 2020-12-05 22:09:49 > Best FID score (Step: 46000, Using test moments): 10.053897314056485
[INFO] 2020-12-05 22:09:51 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 22:11:58 > Step: 46100 Progress: 46.1% Elapsed: 1 day, 8:18:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.86952 Generator_loss: 1.88585
[INFO] 2020-12-05 22:14:04 > Step: 46200 Progress: 46.2% Elapsed: 1 day, 8:20:31 temperature: 1.0 ada_p: No Discriminator_loss: 3.03521 Generator_loss: 1.96848
[INFO] 2020-12-05 22:16:10 > Step: 46300 Progress: 46.3% Elapsed: 1 day, 8:22:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.96812 Generator_loss: 1.92275
[INFO] 2020-12-05 22:18:17 > Step: 46400 Progress: 46.4% Elapsed: 1 day, 8:24:44 temperature: 1.0 ada_p: No Discriminator_loss: 3.00494 Generator_loss: 2.08465
[INFO] 2020-12-05 22:20:24 > Step: 46500 Progress: 46.5% Elapsed: 1 day, 8:26:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.98714 Generator_loss: 2.04774
[INFO] 2020-12-05 22:22:31 > Step: 46600 Progress: 46.6% Elapsed: 1 day, 8:28:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.15013 Generator_loss: 2.24387
[INFO] 2020-12-05 22:24:39 > Step: 46700 Progress: 46.7% Elapsed: 1 day, 8:31:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.96281 Generator_loss: 1.90358
[INFO] 2020-12-05 22:26:47 > Step: 46800 Progress: 46.8% Elapsed: 1 day, 8:33:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.86973 Generator_loss: 1.95078
[INFO] 2020-12-05 22:28:55 > Step: 46900 Progress: 46.9% Elapsed: 1 day, 8:35:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.00514 Generator_loss: 2.1829
[INFO] 2020-12-05 22:31:02 > Step: 47000 Progress: 47.0% Elapsed: 1 day, 8:37:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.9673 Generator_loss: 2.27959
[INFO] 2020-12-05 22:33:05 > Step: 47100 Progress: 47.1% Elapsed: 1 day, 8:39:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.94434 Generator_loss: 1.99424
[INFO] 2020-12-05 22:35:04 > Step: 47200 Progress: 47.2% Elapsed: 1 day, 8:41:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.07165 Generator_loss: 1.87027
[INFO] 2020-12-05 22:37:05 > Step: 47300 Progress: 47.3% Elapsed: 1 day, 8:43:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.93354 Generator_loss: 1.95833
[INFO] 2020-12-05 22:39:03 > Step: 47400 Progress: 47.4% Elapsed: 1 day, 8:45:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.92439 Generator_loss: 2.14611
[INFO] 2020-12-05 22:41:09 > Step: 47500 Progress: 47.5% Elapsed: 1 day, 8:47:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.02666 Generator_loss: 1.98223
[INFO] 2020-12-05 22:43:14 > Step: 47600 Progress: 47.6% Elapsed: 1 day, 8:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.05055 Generator_loss: 2.12689
[INFO] 2020-12-05 22:45:18 > Step: 47700 Progress: 47.7% Elapsed: 1 day, 8:51:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.02363 Generator_loss: 1.95162
[INFO] 2020-12-05 22:47:22 > Step: 47800 Progress: 47.8% Elapsed: 1 day, 8:53:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.05074 Generator_loss: 2.24201
[INFO] 2020-12-05 22:49:27 > Step: 47900 Progress: 47.9% Elapsed: 1 day, 8:55:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.08428 Generator_loss: 1.83763
[INFO] 2020-12-05 22:51:32 > Step: 48000 Progress: 48.0% Elapsed: 1 day, 8:58:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.96609 Generator_loss: 1.90823
[INFO] 2020-12-05 22:51:32 > Start Evaluation (48000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 22:51:32 > Calculating FID Score....
[INFO] 2020-12-05 22:52:06 > Calculating Inception Score....
[INFO] 2020-12-05 22:52:24 > Calculate F_beta Score....
[INFO] 2020-12-05 22:53:24 > Calculate Accuracies....
[INFO] 2020-12-05 22:53:32 > Calculate Accuracies....
[INFO] 2020-12-05 22:53:34 > F_8 score (Step: 48000, Using test images): 0.9791029073803986
[INFO] 2020-12-05 22:53:34 > F_1/8 score (Step: 48000, Using test images): 0.9906525453600512
[INFO] 2020-12-05 22:53:34 > FID score (Step: 48000, Using test moments): 9.861294587508155
[INFO] 2020-12-05 22:53:34 > Inception score (Step: 48000, 10000 generated images): 9.732390403747559
[INFO] 2020-12-05 22:53:34 > Best FID score (Step: 48000, Using test moments): 9.861294587508155
[INFO] 2020-12-05 22:53:35 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 22:55:43 > Step: 48100 Progress: 48.1% Elapsed: 1 day, 9:02:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.91657 Generator_loss: 2.13256
[INFO] 2020-12-05 22:57:50 > Step: 48200 Progress: 48.2% Elapsed: 1 day, 9:04:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.01198 Generator_loss: 1.89915
[INFO] 2020-12-05 22:59:56 > Step: 48300 Progress: 48.3% Elapsed: 1 day, 9:06:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.05129 Generator_loss: 1.95368
[INFO] 2020-12-05 23:02:02 > Step: 48400 Progress: 48.4% Elapsed: 1 day, 9:08:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.8357 Generator_loss: 1.99751
[INFO] 2020-12-05 23:04:10 > Step: 48500 Progress: 48.5% Elapsed: 1 day, 9:10:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.06498 Generator_loss: 1.83192
[INFO] 2020-12-05 23:06:18 > Step: 48600 Progress: 48.6% Elapsed: 1 day, 9:12:45 temperature: 1.0 ada_p: No Discriminator_loss: 3.26082 Generator_loss: 1.92829
[INFO] 2020-12-05 23:08:24 > Step: 48700 Progress: 48.7% Elapsed: 1 day, 9:14:51 temperature: 1.0 ada_p: No Discriminator_loss: 3.13032 Generator_loss: 2.16126
[INFO] 2020-12-05 23:10:31 > Step: 48800 Progress: 48.8% Elapsed: 1 day, 9:16:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.92397 Generator_loss: 1.97715
[INFO] 2020-12-05 23:12:37 > Step: 48900 Progress: 48.9% Elapsed: 1 day, 9:19:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.94136 Generator_loss: 2.03309
[INFO] 2020-12-05 23:14:37 > Step: 49000 Progress: 49.0% Elapsed: 1 day, 9:21:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.91627 Generator_loss: 2.22451
[INFO] 2020-12-05 23:16:42 > Step: 49100 Progress: 49.1% Elapsed: 1 day, 9:23:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.04668 Generator_loss: 2.04634
[INFO] 2020-12-05 23:18:45 > Step: 49200 Progress: 49.2% Elapsed: 1 day, 9:25:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.03556 Generator_loss: 1.93103
[INFO] 2020-12-05 23:20:48 > Step: 49300 Progress: 49.3% Elapsed: 1 day, 9:27:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.16586 Generator_loss: 2.08235
[INFO] 2020-12-05 23:22:53 > Step: 49400 Progress: 49.4% Elapsed: 1 day, 9:29:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.19369 Generator_loss: 2.16143
[INFO] 2020-12-05 23:24:59 > Step: 49500 Progress: 49.5% Elapsed: 1 day, 9:31:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.06122 Generator_loss: 2.17838
[INFO] 2020-12-05 23:27:02 > Step: 49600 Progress: 49.6% Elapsed: 1 day, 9:33:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.03625 Generator_loss: 2.11427
[INFO] 2020-12-05 23:29:09 > Step: 49700 Progress: 49.7% Elapsed: 1 day, 9:35:36 temperature: 1.0 ada_p: No Discriminator_loss: 3.14522 Generator_loss: 2.10903
[INFO] 2020-12-05 23:31:13 > Step: 49800 Progress: 49.8% Elapsed: 1 day, 9:37:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.97343 Generator_loss: 1.94509
[INFO] 2020-12-05 23:33:20 > Step: 49900 Progress: 49.9% Elapsed: 1 day, 9:39:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.94807 Generator_loss: 2.11878
[INFO] 2020-12-05 23:35:26 > Step: 50000 Progress: 50.0% Elapsed: 1 day, 9:41:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.96326 Generator_loss: 2.13332
[INFO] 2020-12-05 23:35:26 > Start Evaluation (50000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 23:35:26 > Calculating FID Score....
[INFO] 2020-12-05 23:35:59 > Calculating Inception Score....
[INFO] 2020-12-05 23:36:18 > Calculate F_beta Score....
[INFO] 2020-12-05 23:37:18 > Calculate Accuracies....
[INFO] 2020-12-05 23:37:26 > Calculate Accuracies....
[INFO] 2020-12-05 23:37:27 > F_8 score (Step: 50000, Using test images): 0.9847075175215292
[INFO] 2020-12-05 23:37:27 > F_1/8 score (Step: 50000, Using test images): 0.9882361689403918
[INFO] 2020-12-05 23:37:27 > FID score (Step: 50000, Using test moments): 9.796250786264295
[INFO] 2020-12-05 23:37:27 > Inception score (Step: 50000, 10000 generated images): 9.668426513671875
[INFO] 2020-12-05 23:37:27 > Best FID score (Step: 50000, Using test moments): 9.796250786264295
[INFO] 2020-12-05 23:37:29 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-05 23:39:35 > Step: 50100 Progress: 50.1% Elapsed: 1 day, 9:46:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.93187 Generator_loss: 1.70834
[INFO] 2020-12-05 23:41:42 > Step: 50200 Progress: 50.2% Elapsed: 1 day, 9:48:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.92922 Generator_loss: 2.03212
[INFO] 2020-12-05 23:43:50 > Step: 50300 Progress: 50.3% Elapsed: 1 day, 9:50:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.84942 Generator_loss: 1.99446
[INFO] 2020-12-05 23:45:56 > Step: 50400 Progress: 50.4% Elapsed: 1 day, 9:52:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.0053 Generator_loss: 1.98635
[INFO] 2020-12-05 23:48:04 > Step: 50500 Progress: 50.5% Elapsed: 1 day, 9:54:31 temperature: 1.0 ada_p: No Discriminator_loss: 3.00282 Generator_loss: 2.26064
[INFO] 2020-12-05 23:50:09 > Step: 50600 Progress: 50.6% Elapsed: 1 day, 9:56:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.89458 Generator_loss: 1.98054
[INFO] 2020-12-05 23:52:17 > Step: 50700 Progress: 50.7% Elapsed: 1 day, 9:58:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.89084 Generator_loss: 1.89942
[INFO] 2020-12-05 23:54:24 > Step: 50800 Progress: 50.8% Elapsed: 1 day, 10:00:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.98938 Generator_loss: 2.22219
[INFO] 2020-12-05 23:56:23 > Step: 50900 Progress: 50.9% Elapsed: 1 day, 10:02:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.10883 Generator_loss: 2.12501
[INFO] 2020-12-05 23:58:28 > Step: 51000 Progress: 51.0% Elapsed: 1 day, 10:04:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.02048 Generator_loss: 2.15806
[INFO] 2020-12-06 00:00:28 > Step: 51100 Progress: 51.1% Elapsed: 1 day, 10:06:55 temperature: 1.0 ada_p: No Discriminator_loss: 3.0492 Generator_loss: 1.84547
[INFO] 2020-12-06 00:02:30 > Step: 51200 Progress: 51.2% Elapsed: 1 day, 10:08:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.88726 Generator_loss: 1.98599
[INFO] 2020-12-06 00:04:37 > Step: 51300 Progress: 51.3% Elapsed: 1 day, 10:11:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.06226 Generator_loss: 1.76495
[INFO] 2020-12-06 00:06:43 > Step: 51400 Progress: 51.4% Elapsed: 1 day, 10:13:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.9286 Generator_loss: 2.02266
[INFO] 2020-12-06 00:08:48 > Step: 51500 Progress: 51.5% Elapsed: 1 day, 10:15:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.91624 Generator_loss: 2.00493
[INFO] 2020-12-06 00:10:55 > Step: 51600 Progress: 51.6% Elapsed: 1 day, 10:17:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.89958 Generator_loss: 1.8887
[INFO] 2020-12-06 00:12:59 > Step: 51700 Progress: 51.7% Elapsed: 1 day, 10:19:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.07442 Generator_loss: 1.83371
[INFO] 2020-12-06 00:15:05 > Step: 51800 Progress: 51.8% Elapsed: 1 day, 10:21:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.16926 Generator_loss: 2.11838
[INFO] 2020-12-06 00:17:11 > Step: 51900 Progress: 51.9% Elapsed: 1 day, 10:23:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.94596 Generator_loss: 1.79485
[INFO] 2020-12-06 00:19:16 > Step: 52000 Progress: 52.0% Elapsed: 1 day, 10:25:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.98317 Generator_loss: 2.05912
[INFO] 2020-12-06 00:19:16 > Start Evaluation (52000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-06 00:19:16 > Calculating FID Score....
[INFO] 2020-12-06 00:19:50 > Calculating Inception Score....
[INFO] 2020-12-06 00:20:08 > Calculate F_beta Score....
[INFO] 2020-12-06 00:21:08 > Calculate Accuracies....
[INFO] 2020-12-06 00:21:16 > Calculate Accuracies....
[INFO] 2020-12-06 00:21:17 > F_8 score (Step: 52000, Using test images): 0.9837800682145796
[INFO] 2020-12-06 00:21:17 > F_1/8 score (Step: 52000, Using test images): 0.992134373214497
[INFO] 2020-12-06 00:21:17 > FID score (Step: 52000, Using test moments): 9.374476129830612
[INFO] 2020-12-06 00:21:17 > Inception score (Step: 52000, 10000 generated images): 9.645450592041016
[INFO] 2020-12-06 00:21:17 > Best FID score (Step: 52000, Using test moments): 9.374476129830612
[INFO] 2020-12-06 00:21:19 > Save model to checkpoints/ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-06 00:23:28 > Step: 52100 Progress: 52.1% Elapsed: 1 day, 10:29:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.87461 Generator_loss: 2.14724
[INFO] 2020-12-06 00:25:35 > Step: 52200 Progress: 52.2% Elapsed: 1 day, 10:32:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.95795 Generator_loss: 2.18593
[INFO] 2020-12-06 00:27:42 > Step: 52300 Progress: 52.3% Elapsed: 1 day, 10:34:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.94018 Generator_loss: 2.03764
[INFO] 2020-12-06 00:29:50 > Step: 52400 Progress: 52.4% Elapsed: 1 day, 10:36:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.01844 Generator_loss: 2.06898
[INFO] 2020-12-06 00:31:56 > Step: 52500 Progress: 52.5% Elapsed: 1 day, 10:38:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.98435 Generator_loss: 2.01992
[INFO] 2020-12-06 00:34:01 > Step: 52600 Progress: 52.6% Elapsed: 1 day, 10:40:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.04329 Generator_loss: 2.11074
[INFO] 2020-12-06 00:36:05 > Step: 52700 Progress: 52.7% Elapsed: 1 day, 10:42:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.89891 Generator_loss: 1.95592
[INFO] 2020-12-06 00:38:04 > Step: 52800 Progress: 52.8% Elapsed: 1 day, 10:44:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.9299 Generator_loss: 2.11251
[INFO] 2020-12-06 00:40:08 > Step: 52900 Progress: 52.9% Elapsed: 1 day, 10:46:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.99785 Generator_loss: 2.00976
[INFO] 2020-12-06 00:42:06 > Step: 53000 Progress: 53.0% Elapsed: 1 day, 10:48:34 temperature: 1.0 ada_p: No Discriminator_loss: 3.03623 Generator_loss: 1.99677
[INFO] 2020-12-06 00:44:12 > Step: 53100 Progress: 53.1% Elapsed: 1 day, 10:50:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.99254 Generator_loss: 1.93764
[INFO] 2020-12-06 00:46:18 > Step: 53200 Progress: 53.2% Elapsed: 1 day, 10:52:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.97621 Generator_loss: 2.00962
[INFO] 2020-12-06 00:48:24 > Step: 53300 Progress: 53.3% Elapsed: 1 day, 10:54:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.78623 Generator_loss: 1.97154
[INFO] 2020-12-06 00:50:28 > Step: 53400 Progress: 53.4% Elapsed: 1 day, 10:56:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.9814 Generator_loss: 1.96311
[INFO] 2020-12-06 00:52:33 > Step: 53500 Progress: 53.5% Elapsed: 1 day, 10:59:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.97435 Generator_loss: 2.05871
[INFO] 2020-12-06 00:54:38 > Step: 53600 Progress: 53.6% Elapsed: 1 day, 11:01:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.8558 Generator_loss: 1.9293
[INFO] 2020-12-06 00:56:44 > Step: 53700 Progress: 53.7% Elapsed: 1 day, 11:03:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.12285 Generator_loss: 1.90937
[INFO] 2020-12-06 00:58:51 > Step: 53800 Progress: 53.8% Elapsed: 1 day, 11:05:18 temperature: 1.0 ada_p: No Discriminator_loss: 3.06995 Generator_loss: 1.82128
[INFO] 2020-12-06 01:00:58 > Step: 53900 Progress: 53.9% Elapsed: 1 day, 11:07:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.90093 Generator_loss: 1.99373
[INFO] 2020-12-06 01:03:05 > Step: 54000 Progress: 54.0% Elapsed: 1 day, 11:09:32 temperature: 1.0 ada_p: No Discriminator_loss: 3.11287 Generator_loss: 1.90557
[INFO] 2020-12-06 01:03:05 > Start Evaluation (54000 Step): ICRGAN(C)-train-2020_12_04_13_53_13
[INFO] 2020-12-06 01:03:05 > Calculating FID Score....
[INFO] 2020-12-06 01:03:39 > Calculating Inception Score....
[INFO] 2020-12-06 01:03:57 > Calculate F_beta Score....
[INFO] 2020-12-06 01:04:58 > Calculate Accuracies....
[INFO] 2020-12-06 01:05:06 > Calculate Accuracies....
[INFO] 2020-12-06 01:05:08 > F_8 score (Step: 54000, Using test images): 0.9835778282075593
[INFO] 2020-12-06 01:05:08 > F_1/8 score (Step: 54000, Using test images): 0.9909966975106157
[INFO] 2020-12-06 01:05:08 > FID score (Step: 54000, Using test moments): 9.3234410106744