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ICRGAN(P)-train-2021_01_04_11_19_15.log
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ICRGAN(P)-train-2021_01_04_11_19_15.log
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[INFO] 2021-01-04 11:19:15 > Run name : ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 11:19:15 > {'config_path': './src/configs/TINY_ILSVRC2012/ICRGAN(P).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': True, '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': 'valid'}
[INFO] 2021-01-04 11:19:15 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 3, 'attention_after_nth_dis_block': 1, 'z_dim': 100, 'shared_dim': 128, 'g_conv_dim': 80, 'd_conv_dim': 80, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 1024, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': 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': 20000}}}
[INFO] 2021-01-04 11:19:15 > Load train datasets...
[INFO] 2021-01-04 11:19:26 > Train dataset size : 100000
[INFO] 2021-01-04 11:19:26 > Load valid datasets...
[INFO] 2021-01-04 11:19:26 > Eval dataset size : 10000
[INFO] 2021-01-04 11:19:26 > Build model...
[INFO] 2021-01-04 11:19:26 > Modules are located on models.big_resnet.
[INFO] 2021-01-04 11:19:31 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-04 11:19:31 > Number of parameters: 17335204
[INFO] 2021-01-04 11:19:31 > Generator(
(linear0): Linear(in_features=20, out_features=20480, bias=True)
(shared): Embedding(200, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1280, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1280, bias=False)
(bias): Linear(in_features=148, out_features=1280, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1280, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1280, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(80, 160, 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)
)
)
(4): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=80, bias=False)
(bias): Linear(in_features=148, out_features=80, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(80, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-04 11:19:31 > Number of parameters: 30796722
[INFO] 2021-01-04 11:19:31 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, 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(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(80, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(40, 80, 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(80, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(80, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, 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)
(conv2d0): Conv2d(160, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, 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)
(conv2d0): Conv2d(320, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 1280, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1280, 1280, 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=1280, out_features=1, bias=True)
(embedding): Embedding(200, 1280)
)
[INFO] 2021-01-04 11:19:34 > Start training....
[INFO] 2021-01-04 11:22:17 > Step: 100 Progress: 0.1% Elapsed: 0:02:42 temperature: no ada_p: No Discriminator_loss: 1.94324 Generator_loss: -0.221765
[INFO] 2021-01-04 11:24:44 > Step: 200 Progress: 0.2% Elapsed: 0:05:10 temperature: no ada_p: No Discriminator_loss: 1.95832 Generator_loss: 0.258062
[INFO] 2021-01-04 11:27:11 > Step: 300 Progress: 0.3% Elapsed: 0:07:37 temperature: no ada_p: No Discriminator_loss: 1.9695 Generator_loss: 0.20685
[INFO] 2021-01-04 11:29:38 > Step: 400 Progress: 0.4% Elapsed: 0:10:04 temperature: no ada_p: No Discriminator_loss: 2.01595 Generator_loss: 0.310946
[INFO] 2021-01-04 11:32:06 > Step: 500 Progress: 0.5% Elapsed: 0:12:31 temperature: no ada_p: No Discriminator_loss: 2.04923 Generator_loss: 0.537734
[INFO] 2021-01-04 11:34:34 > Step: 600 Progress: 0.6% Elapsed: 0:14:59 temperature: no ada_p: No Discriminator_loss: 1.99997 Generator_loss: 0.176794
[INFO] 2021-01-04 11:37:01 > Step: 700 Progress: 0.7% Elapsed: 0:17:27 temperature: no ada_p: No Discriminator_loss: 1.97215 Generator_loss: -0.0288676
[INFO] 2021-01-04 11:39:29 > Step: 800 Progress: 0.8% Elapsed: 0:19:55 temperature: no ada_p: No Discriminator_loss: 1.99474 Generator_loss: -0.176368
[INFO] 2021-01-04 11:41:57 > Step: 900 Progress: 0.9% Elapsed: 0:22:23 temperature: no ada_p: No Discriminator_loss: 1.98122 Generator_loss: -0.067549
[INFO] 2021-01-04 11:44:25 > Step: 1000 Progress: 1.0% Elapsed: 0:24:50 temperature: no ada_p: No Discriminator_loss: 1.98549 Generator_loss: -0.156007
[INFO] 2021-01-04 11:46:53 > Step: 1100 Progress: 1.1% Elapsed: 0:27:19 temperature: no ada_p: No Discriminator_loss: 2.00711 Generator_loss: -0.177133
[INFO] 2021-01-04 11:49:21 > Step: 1200 Progress: 1.2% Elapsed: 0:29:47 temperature: no ada_p: No Discriminator_loss: 1.97741 Generator_loss: -0.082881
[INFO] 2021-01-04 11:51:49 > Step: 1300 Progress: 1.3% Elapsed: 0:32:15 temperature: no ada_p: No Discriminator_loss: 1.97405 Generator_loss: -0.128904
[INFO] 2021-01-04 11:54:17 > Step: 1400 Progress: 1.4% Elapsed: 0:34:42 temperature: no ada_p: No Discriminator_loss: 1.98513 Generator_loss: -0.170527
[INFO] 2021-01-04 11:56:44 > Step: 1500 Progress: 1.5% Elapsed: 0:37:10 temperature: no ada_p: No Discriminator_loss: 1.99709 Generator_loss: -0.0518643
[INFO] 2021-01-04 11:59:13 > Step: 1600 Progress: 1.6% Elapsed: 0:39:38 temperature: no ada_p: No Discriminator_loss: 1.98672 Generator_loss: -0.044597
[INFO] 2021-01-04 12:01:41 > Step: 1700 Progress: 1.7% Elapsed: 0:42:06 temperature: no ada_p: No Discriminator_loss: 1.99737 Generator_loss: -0.114899
[INFO] 2021-01-04 12:04:09 > Step: 1800 Progress: 1.8% Elapsed: 0:44:34 temperature: no ada_p: No Discriminator_loss: 1.97987 Generator_loss: -0.0397988
[INFO] 2021-01-04 12:06:36 > Step: 1900 Progress: 1.9% Elapsed: 0:47:02 temperature: no ada_p: No Discriminator_loss: 1.99386 Generator_loss: -0.15319
[INFO] 2021-01-04 12:09:05 > Step: 2000 Progress: 2.0% Elapsed: 0:49:30 temperature: no ada_p: No Discriminator_loss: 2.00084 Generator_loss: 0.0637342
[INFO] 2021-01-04 12:09:05 > Start Evaluation (2000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 12:09:05 > Calculating FID Score....
[INFO] 2021-01-04 12:09:21 > Calculating Inception Score....
[INFO] 2021-01-04 12:09:24 > Calculate F_beta Score....
[INFO] 2021-01-04 12:09:43 > Calculate Accuracies....
[INFO] 2021-01-04 12:09:45 > Calculate Accuracies....
[INFO] 2021-01-04 12:09:47 > F_8 score (Step: 2000, Using valid images): 0.1920415652506793
[INFO] 2021-01-04 12:09:47 > F_1/8 score (Step: 2000, Using valid images): 0.27850133441053604
[INFO] 2021-01-04 12:09:47 > FID score (Step: 2000, Using valid moments): 123.12052860714061
[INFO] 2021-01-04 12:09:47 > Inception score (Step: 2000, 10000 generated images): 4.946680068969727
[INFO] 2021-01-04 12:09:47 > Best FID score (Step: 2000, Using valid moments): 123.12052860714061
[INFO] 2021-01-04 12:10:00 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 12:12:30 > Step: 2100 Progress: 2.1% Elapsed: 0:52:55 temperature: no ada_p: No Discriminator_loss: 1.97353 Generator_loss: 0.0400418
[INFO] 2021-01-04 12:14:58 > Step: 2200 Progress: 2.2% Elapsed: 0:55:24 temperature: no ada_p: No Discriminator_loss: 1.99466 Generator_loss: 0.0104783
[INFO] 2021-01-04 12:17:26 > Step: 2300 Progress: 2.3% Elapsed: 0:57:51 temperature: no ada_p: No Discriminator_loss: 1.96148 Generator_loss: -0.113575
[INFO] 2021-01-04 12:19:53 > Step: 2400 Progress: 2.4% Elapsed: 1:00:19 temperature: no ada_p: No Discriminator_loss: 2.04252 Generator_loss: 0.0883343
[INFO] 2021-01-04 12:22:21 > Step: 2500 Progress: 2.5% Elapsed: 1:02:47 temperature: no ada_p: No Discriminator_loss: 1.98835 Generator_loss: -0.10322
[INFO] 2021-01-04 12:24:49 > Step: 2600 Progress: 2.6% Elapsed: 1:05:15 temperature: no ada_p: No Discriminator_loss: 1.96784 Generator_loss: -0.00322737
[INFO] 2021-01-04 12:27:17 > Step: 2700 Progress: 2.7% Elapsed: 1:07:43 temperature: no ada_p: No Discriminator_loss: 1.95059 Generator_loss: -0.154601
[INFO] 2021-01-04 12:29:46 > Step: 2800 Progress: 2.8% Elapsed: 1:10:12 temperature: no ada_p: No Discriminator_loss: 1.94579 Generator_loss: -0.0516244
[INFO] 2021-01-04 12:32:14 > Step: 2900 Progress: 2.9% Elapsed: 1:12:40 temperature: no ada_p: No Discriminator_loss: 1.94084 Generator_loss: -0.122584
[INFO] 2021-01-04 12:34:43 > Step: 3000 Progress: 3.0% Elapsed: 1:15:08 temperature: no ada_p: No Discriminator_loss: 1.91311 Generator_loss: -0.325161
[INFO] 2021-01-04 12:37:11 > Step: 3100 Progress: 3.1% Elapsed: 1:17:36 temperature: no ada_p: No Discriminator_loss: 1.88749 Generator_loss: -0.224199
[INFO] 2021-01-04 12:39:39 > Step: 3200 Progress: 3.2% Elapsed: 1:20:05 temperature: no ada_p: No Discriminator_loss: 1.92189 Generator_loss: -0.0924046
[INFO] 2021-01-04 12:42:10 > Step: 3300 Progress: 3.3% Elapsed: 1:22:35 temperature: no ada_p: No Discriminator_loss: 1.9096 Generator_loss: -0.23716
[INFO] 2021-01-04 12:44:38 > Step: 3400 Progress: 3.4% Elapsed: 1:25:03 temperature: no ada_p: No Discriminator_loss: 1.88158 Generator_loss: -0.252615
[INFO] 2021-01-04 12:47:05 > Step: 3500 Progress: 3.5% Elapsed: 1:27:31 temperature: no ada_p: No Discriminator_loss: 1.88449 Generator_loss: -0.375726
[INFO] 2021-01-04 12:49:33 > Step: 3600 Progress: 3.6% Elapsed: 1:29:59 temperature: no ada_p: No Discriminator_loss: 1.88241 Generator_loss: -0.216021
[INFO] 2021-01-04 12:52:02 > Step: 3700 Progress: 3.7% Elapsed: 1:32:28 temperature: no ada_p: No Discriminator_loss: 1.88976 Generator_loss: -0.221469
[INFO] 2021-01-04 12:54:30 > Step: 3800 Progress: 3.8% Elapsed: 1:34:56 temperature: no ada_p: No Discriminator_loss: 1.88132 Generator_loss: -0.220263
[INFO] 2021-01-04 12:56:59 > Step: 3900 Progress: 3.9% Elapsed: 1:37:24 temperature: no ada_p: No Discriminator_loss: 1.88289 Generator_loss: -0.219421
[INFO] 2021-01-04 12:59:27 > Step: 4000 Progress: 4.0% Elapsed: 1:39:52 temperature: no ada_p: No Discriminator_loss: 1.93553 Generator_loss: 0.00399214
[INFO] 2021-01-04 12:59:27 > Start Evaluation (4000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 12:59:27 > Calculating FID Score....
[INFO] 2021-01-04 12:59:41 > Calculating Inception Score....
[INFO] 2021-01-04 12:59:44 > Calculate F_beta Score....
[INFO] 2021-01-04 13:00:01 > Calculate Accuracies....
[INFO] 2021-01-04 13:00:04 > Calculate Accuracies....
[INFO] 2021-01-04 13:00:05 > F_8 score (Step: 4000, Using valid images): 0.3986044881535525
[INFO] 2021-01-04 13:00:05 > F_1/8 score (Step: 4000, Using valid images): 0.5254681569827558
[INFO] 2021-01-04 13:00:05 > FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 13:00:05 > Inception score (Step: 4000, 10000 generated images): 5.604579925537109
[INFO] 2021-01-04 13:00:05 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 13:00:20 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 13:02:48 > Step: 4100 Progress: 4.1% Elapsed: 1:43:14 temperature: no ada_p: No Discriminator_loss: 1.84926 Generator_loss: -0.278832
[INFO] 2021-01-04 13:05:16 > Step: 4200 Progress: 4.2% Elapsed: 1:45:42 temperature: no ada_p: No Discriminator_loss: 1.86314 Generator_loss: -0.312517
[INFO] 2021-01-04 13:07:45 > Step: 4300 Progress: 4.3% Elapsed: 1:48:11 temperature: no ada_p: No Discriminator_loss: 1.90915 Generator_loss: -0.288301
[INFO] 2021-01-04 13:10:13 > Step: 4400 Progress: 4.4% Elapsed: 1:50:39 temperature: no ada_p: No Discriminator_loss: 1.83332 Generator_loss: -0.164358
[INFO] 2021-01-04 13:12:42 > Step: 4500 Progress: 4.5% Elapsed: 1:53:08 temperature: no ada_p: No Discriminator_loss: 1.81388 Generator_loss: 0.197995
[INFO] 2021-01-04 13:15:11 > Step: 4600 Progress: 4.6% Elapsed: 1:55:36 temperature: no ada_p: No Discriminator_loss: 1.96988 Generator_loss: -0.79961
[INFO] 2021-01-04 13:17:38 > Step: 4700 Progress: 4.7% Elapsed: 1:58:04 temperature: no ada_p: No Discriminator_loss: 1.84783 Generator_loss: -0.287048
[INFO] 2021-01-04 13:20:07 > Step: 4800 Progress: 4.8% Elapsed: 2:00:33 temperature: no ada_p: No Discriminator_loss: 1.71767 Generator_loss: -0.682079
[INFO] 2021-01-04 13:22:36 > Step: 4900 Progress: 4.9% Elapsed: 2:03:02 temperature: no ada_p: No Discriminator_loss: 1.89309 Generator_loss: -0.335997
[INFO] 2021-01-04 13:25:04 > Step: 5000 Progress: 5.0% Elapsed: 2:05:30 temperature: no ada_p: No Discriminator_loss: 1.81239 Generator_loss: -0.138373
[INFO] 2021-01-04 13:27:32 > Step: 5100 Progress: 5.1% Elapsed: 2:07:58 temperature: no ada_p: No Discriminator_loss: 1.79186 Generator_loss: 0.0021643
[INFO] 2021-01-04 13:30:01 > Step: 5200 Progress: 5.2% Elapsed: 2:10:27 temperature: no ada_p: No Discriminator_loss: 1.89288 Generator_loss: -0.381482
[INFO] 2021-01-04 13:32:30 > Step: 5300 Progress: 5.3% Elapsed: 2:12:55 temperature: no ada_p: No Discriminator_loss: 1.84453 Generator_loss: -0.49519
[INFO] 2021-01-04 13:34:58 > Step: 5400 Progress: 5.4% Elapsed: 2:15:24 temperature: no ada_p: No Discriminator_loss: 1.86269 Generator_loss: -0.328201
[INFO] 2021-01-04 13:37:27 > Step: 5500 Progress: 5.5% Elapsed: 2:17:52 temperature: no ada_p: No Discriminator_loss: 1.88897 Generator_loss: -0.108452
[INFO] 2021-01-04 13:39:55 > Step: 5600 Progress: 5.6% Elapsed: 2:20:21 temperature: no ada_p: No Discriminator_loss: 1.47557 Generator_loss: -0.155254
[INFO] 2021-01-04 13:42:23 > Step: 5700 Progress: 5.7% Elapsed: 2:22:49 temperature: no ada_p: No Discriminator_loss: 1.98407 Generator_loss: -0.46324
[INFO] 2021-01-04 13:44:52 > Step: 5800 Progress: 5.8% Elapsed: 2:25:17 temperature: no ada_p: No Discriminator_loss: 1.81241 Generator_loss: -0.360274
[INFO] 2021-01-04 13:47:20 > Step: 5900 Progress: 5.9% Elapsed: 2:27:46 temperature: no ada_p: No Discriminator_loss: 1.41792 Generator_loss: -0.377351
[INFO] 2021-01-04 13:49:50 > Step: 6000 Progress: 6.0% Elapsed: 2:30:15 temperature: no ada_p: No Discriminator_loss: 1.7688 Generator_loss: -0.307817
[INFO] 2021-01-04 13:49:50 > Start Evaluation (6000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 13:49:50 > Calculating FID Score....
[INFO] 2021-01-04 13:50:04 > Calculating Inception Score....
[INFO] 2021-01-04 13:50:07 > Calculate F_beta Score....
[INFO] 2021-01-04 13:50:23 > Calculate Accuracies....
[INFO] 2021-01-04 13:50:26 > Calculate Accuracies....
[INFO] 2021-01-04 13:50:27 > F_8 score (Step: 6000, Using valid images): 0.12196859664525792
[INFO] 2021-01-04 13:50:27 > F_1/8 score (Step: 6000, Using valid images): 0.13416863084427574
[INFO] 2021-01-04 13:50:27 > FID score (Step: 6000, Using valid moments): 213.42425093697358
[INFO] 2021-01-04 13:50:27 > Inception score (Step: 6000, 10000 generated images): 3.9133028984069824
[INFO] 2021-01-04 13:50:27 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 13:50:34 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 13:53:03 > Step: 6100 Progress: 6.1% Elapsed: 2:33:29 temperature: no ada_p: No Discriminator_loss: 1.81482 Generator_loss: -0.0995732
[INFO] 2021-01-04 13:55:32 > Step: 6200 Progress: 6.2% Elapsed: 2:35:58 temperature: no ada_p: No Discriminator_loss: 1.72763 Generator_loss: 0.0313399
[INFO] 2021-01-04 13:58:01 > Step: 6300 Progress: 6.3% Elapsed: 2:38:26 temperature: no ada_p: No Discriminator_loss: 1.64176 Generator_loss: 0.0518996
[INFO] 2021-01-04 14:00:29 > Step: 6400 Progress: 6.4% Elapsed: 2:40:54 temperature: no ada_p: No Discriminator_loss: 1.79475 Generator_loss: 0.0870532
[INFO] 2021-01-04 14:02:59 > Step: 6500 Progress: 6.5% Elapsed: 2:43:24 temperature: no ada_p: No Discriminator_loss: 1.62611 Generator_loss: -0.580988
[INFO] 2021-01-04 14:05:27 > Step: 6600 Progress: 6.6% Elapsed: 2:45:53 temperature: no ada_p: No Discriminator_loss: 1.98024 Generator_loss: -0.693918
[INFO] 2021-01-04 14:07:55 > Step: 6700 Progress: 6.7% Elapsed: 2:48:21 temperature: no ada_p: No Discriminator_loss: 1.92829 Generator_loss: -0.545866
[INFO] 2021-01-04 14:10:24 > Step: 6800 Progress: 6.8% Elapsed: 2:50:49 temperature: no ada_p: No Discriminator_loss: 1.67969 Generator_loss: -0.627853
[INFO] 2021-01-04 14:12:52 > Step: 6900 Progress: 6.9% Elapsed: 2:53:18 temperature: no ada_p: No Discriminator_loss: 1.73044 Generator_loss: -0.584055
[INFO] 2021-01-04 14:15:20 > Step: 7000 Progress: 7.0% Elapsed: 2:55:46 temperature: no ada_p: No Discriminator_loss: 1.79913 Generator_loss: -0.118887
[INFO] 2021-01-04 14:17:49 > Step: 7100 Progress: 7.1% Elapsed: 2:58:15 temperature: no ada_p: No Discriminator_loss: 1.59623 Generator_loss: 0.0103473
[INFO] 2021-01-04 14:20:17 > Step: 7200 Progress: 7.2% Elapsed: 3:00:43 temperature: no ada_p: No Discriminator_loss: 1.94949 Generator_loss: 0.106429
[INFO] 2021-01-04 14:22:46 > Step: 7300 Progress: 7.3% Elapsed: 3:03:11 temperature: no ada_p: No Discriminator_loss: 1.65022 Generator_loss: -0.0839651
[INFO] 2021-01-04 14:25:14 > Step: 7400 Progress: 7.4% Elapsed: 3:05:40 temperature: no ada_p: No Discriminator_loss: 1.99067 Generator_loss: 0.00448936
[INFO] 2021-01-04 14:27:44 > Step: 7500 Progress: 7.5% Elapsed: 3:08:09 temperature: no ada_p: No Discriminator_loss: 1.75549 Generator_loss: 0.211582
[INFO] 2021-01-04 14:30:12 > Step: 7600 Progress: 7.6% Elapsed: 3:10:37 temperature: no ada_p: No Discriminator_loss: 1.4799 Generator_loss: 0.0775036
[INFO] 2021-01-04 14:32:39 > Step: 7700 Progress: 7.7% Elapsed: 3:13:05 temperature: no ada_p: No Discriminator_loss: 1.49357 Generator_loss: -0.0822196
[INFO] 2021-01-04 14:35:07 > Step: 7800 Progress: 7.8% Elapsed: 3:15:33 temperature: no ada_p: No Discriminator_loss: 1.51117 Generator_loss: 0.0987813
[INFO] 2021-01-04 14:37:36 > Step: 7900 Progress: 7.9% Elapsed: 3:18:02 temperature: no ada_p: No Discriminator_loss: 1.35973 Generator_loss: 0.0788503
[INFO] 2021-01-04 14:40:04 > Step: 8000 Progress: 8.0% Elapsed: 3:20:30 temperature: no ada_p: No Discriminator_loss: 1.64254 Generator_loss: 0.0382953
[INFO] 2021-01-04 14:40:04 > Start Evaluation (8000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 14:40:04 > Calculating FID Score....
[INFO] 2021-01-04 14:40:18 > Calculating Inception Score....
[INFO] 2021-01-04 14:40:21 > Calculate F_beta Score....
[INFO] 2021-01-04 14:40:37 > Calculate Accuracies....
[INFO] 2021-01-04 14:40:40 > Calculate Accuracies....
[INFO] 2021-01-04 14:40:41 > F_8 score (Step: 8000, Using valid images): 0.14055094921482977
[INFO] 2021-01-04 14:40:41 > F_1/8 score (Step: 8000, Using valid images): 0.09478174612774364
[INFO] 2021-01-04 14:40:41 > FID score (Step: 8000, Using valid moments): 318.2614350119891
[INFO] 2021-01-04 14:40:41 > Inception score (Step: 8000, 10000 generated images): 2.35732102394104
[INFO] 2021-01-04 14:40:41 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 14:40:48 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 14:43:18 > Step: 8100 Progress: 8.1% Elapsed: 3:23:43 temperature: no ada_p: No Discriminator_loss: 1.94176 Generator_loss: 0.160611
[INFO] 2021-01-04 14:45:46 > Step: 8200 Progress: 8.2% Elapsed: 3:26:12 temperature: no ada_p: No Discriminator_loss: 1.20522 Generator_loss: 0.138306
[INFO] 2021-01-04 14:48:15 > Step: 8300 Progress: 8.3% Elapsed: 3:28:41 temperature: no ada_p: No Discriminator_loss: 1.24839 Generator_loss: 0.0855725
[INFO] 2021-01-04 14:50:44 > Step: 8400 Progress: 8.4% Elapsed: 3:31:10 temperature: no ada_p: No Discriminator_loss: 2.01925 Generator_loss: -0.0247207
[INFO] 2021-01-04 14:53:12 > Step: 8500 Progress: 8.5% Elapsed: 3:33:38 temperature: no ada_p: No Discriminator_loss: 1.11101 Generator_loss: 0.0345466
[INFO] 2021-01-04 14:55:41 > Step: 8600 Progress: 8.6% Elapsed: 3:36:07 temperature: no ada_p: No Discriminator_loss: 1.04393 Generator_loss: 0.166741
[INFO] 2021-01-04 14:58:10 > Step: 8700 Progress: 8.7% Elapsed: 3:38:36 temperature: no ada_p: No Discriminator_loss: 1.18586 Generator_loss: -0.00222546
[INFO] 2021-01-04 15:00:39 > Step: 8800 Progress: 8.8% Elapsed: 3:41:05 temperature: no ada_p: No Discriminator_loss: 1.80285 Generator_loss: 0.150798
[INFO] 2021-01-04 15:03:08 > Step: 8900 Progress: 8.9% Elapsed: 3:43:33 temperature: no ada_p: No Discriminator_loss: 1.42838 Generator_loss: 0.0379164
[INFO] 2021-01-04 15:05:37 > Step: 9000 Progress: 9.0% Elapsed: 3:46:03 temperature: no ada_p: No Discriminator_loss: 1.52814 Generator_loss: -0.0921682
[INFO] 2021-01-04 15:08:05 > Step: 9100 Progress: 9.1% Elapsed: 3:48:31 temperature: no ada_p: No Discriminator_loss: 1.75095 Generator_loss: -0.123334
[INFO] 2021-01-04 15:10:34 > Step: 9200 Progress: 9.2% Elapsed: 3:50:59 temperature: no ada_p: No Discriminator_loss: 1.73676 Generator_loss: 0.12715
[INFO] 2021-01-04 15:13:01 > Step: 9300 Progress: 9.3% Elapsed: 3:53:27 temperature: no ada_p: No Discriminator_loss: 2.08712 Generator_loss: 0.241002
[INFO] 2021-01-04 15:15:30 > Step: 9400 Progress: 9.4% Elapsed: 3:55:56 temperature: no ada_p: No Discriminator_loss: 1.64129 Generator_loss: 0.0503476
[INFO] 2021-01-04 15:17:59 > Step: 9500 Progress: 9.5% Elapsed: 3:58:25 temperature: no ada_p: No Discriminator_loss: 1.76593 Generator_loss: 0.168631
[INFO] 2021-01-04 15:20:28 > Step: 9600 Progress: 9.6% Elapsed: 4:00:54 temperature: no ada_p: No Discriminator_loss: 1.9502 Generator_loss: -0.847371
[INFO] 2021-01-04 15:22:57 > Step: 9700 Progress: 9.7% Elapsed: 4:03:23 temperature: no ada_p: No Discriminator_loss: 1.65773 Generator_loss: -0.187899
[INFO] 2021-01-04 15:25:27 > Step: 9800 Progress: 9.8% Elapsed: 4:05:53 temperature: no ada_p: No Discriminator_loss: 1.92159 Generator_loss: -0.220433
[INFO] 2021-01-04 15:27:56 > Step: 9900 Progress: 9.9% Elapsed: 4:08:21 temperature: no ada_p: No Discriminator_loss: 1.79982 Generator_loss: -0.0143362
[INFO] 2021-01-04 15:30:25 > Step: 10000 Progress: 10.0% Elapsed: 4:10:50 temperature: no ada_p: No Discriminator_loss: 1.44024 Generator_loss: -0.0593027
[INFO] 2021-01-04 15:30:25 > Start Evaluation (10000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 15:30:25 > Calculating FID Score....
[INFO] 2021-01-04 15:30:39 > Calculating Inception Score....
[INFO] 2021-01-04 15:30:42 > Calculate F_beta Score....
[INFO] 2021-01-04 15:30:58 > Calculate Accuracies....
[INFO] 2021-01-04 15:31:00 > Calculate Accuracies....
[INFO] 2021-01-04 15:31:02 > F_8 score (Step: 10000, Using valid images): 0.1671608112090905
[INFO] 2021-01-04 15:31:02 > F_1/8 score (Step: 10000, Using valid images): 0.04855051986244806
[INFO] 2021-01-04 15:31:02 > FID score (Step: 10000, Using valid moments): 306.42015039950275
[INFO] 2021-01-04 15:31:02 > Inception score (Step: 10000, 10000 generated images): 2.4596633911132812
[INFO] 2021-01-04 15:31:02 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 15:31:09 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 15:33:37 > Step: 10100 Progress: 10.1% Elapsed: 4:14:03 temperature: no ada_p: No Discriminator_loss: 1.33462 Generator_loss: 0.144152
[INFO] 2021-01-04 15:36:06 > Step: 10200 Progress: 10.2% Elapsed: 4:16:32 temperature: no ada_p: No Discriminator_loss: 1.33216 Generator_loss: 0.110938
[INFO] 2021-01-04 15:38:34 > Step: 10300 Progress: 10.3% Elapsed: 4:19:00 temperature: no ada_p: No Discriminator_loss: 1.40532 Generator_loss: 0.0748311
[INFO] 2021-01-04 15:41:03 > Step: 10400 Progress: 10.4% Elapsed: 4:21:28 temperature: no ada_p: No Discriminator_loss: 1.31401 Generator_loss: 0.0130588
[INFO] 2021-01-04 15:43:32 > Step: 10500 Progress: 10.5% Elapsed: 4:23:57 temperature: no ada_p: No Discriminator_loss: 1.17205 Generator_loss: 0.0584286
[INFO] 2021-01-04 15:46:00 > Step: 10600 Progress: 10.6% Elapsed: 4:26:26 temperature: no ada_p: No Discriminator_loss: 1.76632 Generator_loss: 0.131083
[INFO] 2021-01-04 15:48:29 > Step: 10700 Progress: 10.7% Elapsed: 4:28:54 temperature: no ada_p: No Discriminator_loss: 1.77647 Generator_loss: 0.0537361
[INFO] 2021-01-04 15:50:57 > Step: 10800 Progress: 10.8% Elapsed: 4:31:22 temperature: no ada_p: No Discriminator_loss: 1.58243 Generator_loss: 0.0424864
[INFO] 2021-01-04 15:53:26 > Step: 10900 Progress: 10.9% Elapsed: 4:33:51 temperature: no ada_p: No Discriminator_loss: 1.52875 Generator_loss: 0.160831
[INFO] 2021-01-04 15:55:55 > Step: 11000 Progress: 11.0% Elapsed: 4:36:20 temperature: no ada_p: No Discriminator_loss: 0.853853 Generator_loss: 0.116324
[INFO] 2021-01-04 15:58:23 > Step: 11100 Progress: 11.1% Elapsed: 4:38:49 temperature: no ada_p: No Discriminator_loss: 1.56676 Generator_loss: -0.0180394
[INFO] 2021-01-04 16:00:52 > Step: 11200 Progress: 11.2% Elapsed: 4:41:18 temperature: no ada_p: No Discriminator_loss: 1.36753 Generator_loss: 0.0796654
[INFO] 2021-01-04 16:03:21 > Step: 11300 Progress: 11.3% Elapsed: 4:43:46 temperature: no ada_p: No Discriminator_loss: 0.546796 Generator_loss: 0.213169
[INFO] 2021-01-04 16:05:50 > Step: 11400 Progress: 11.4% Elapsed: 4:46:15 temperature: no ada_p: No Discriminator_loss: 0.805164 Generator_loss: 0.119507
[INFO] 2021-01-04 16:08:19 > Step: 11500 Progress: 11.5% Elapsed: 4:48:44 temperature: no ada_p: No Discriminator_loss: 0.444845 Generator_loss: 0.172418
[INFO] 2021-01-04 16:10:47 > Step: 11600 Progress: 11.6% Elapsed: 4:51:12 temperature: no ada_p: No Discriminator_loss: 0.878967 Generator_loss: 0.127577
[INFO] 2021-01-04 16:13:15 > Step: 11700 Progress: 11.7% Elapsed: 4:53:41 temperature: no ada_p: No Discriminator_loss: 0.57716 Generator_loss: 0.057349
[INFO] 2021-01-04 16:15:45 > Step: 11800 Progress: 11.8% Elapsed: 4:56:10 temperature: no ada_p: No Discriminator_loss: 0.448041 Generator_loss: 0.0940421
[INFO] 2021-01-04 16:18:13 > Step: 11900 Progress: 11.9% Elapsed: 4:58:39 temperature: no ada_p: No Discriminator_loss: 1.81769 Generator_loss: -1.23146
[INFO] 2021-01-04 16:20:42 > Step: 12000 Progress: 12.0% Elapsed: 5:01:07 temperature: no ada_p: No Discriminator_loss: 1.46104 Generator_loss: -0.117009
[INFO] 2021-01-04 16:20:42 > Start Evaluation (12000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 16:20:42 > Calculating FID Score....
[INFO] 2021-01-04 16:20:56 > Calculating Inception Score....
[INFO] 2021-01-04 16:20:58 > Calculate F_beta Score....
[INFO] 2021-01-04 16:21:14 > Calculate Accuracies....
[INFO] 2021-01-04 16:21:17 > Calculate Accuracies....
[INFO] 2021-01-04 16:21:18 > F_8 score (Step: 12000, Using valid images): 0.2897992829574237
[INFO] 2021-01-04 16:21:18 > F_1/8 score (Step: 12000, Using valid images): 0.07979484453210266
[INFO] 2021-01-04 16:21:18 > FID score (Step: 12000, Using valid moments): 322.32581114390916
[INFO] 2021-01-04 16:21:18 > Inception score (Step: 12000, 10000 generated images): 2.626255750656128
[INFO] 2021-01-04 16:21:18 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 16:21:25 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 16:23:54 > Step: 12100 Progress: 12.1% Elapsed: 5:04:19 temperature: no ada_p: No Discriminator_loss: 1.66475 Generator_loss: -0.173578
[INFO] 2021-01-04 16:26:23 > Step: 12200 Progress: 12.2% Elapsed: 5:06:48 temperature: no ada_p: No Discriminator_loss: 1.9165 Generator_loss: -0.199116
[INFO] 2021-01-04 16:28:52 > Step: 12300 Progress: 12.3% Elapsed: 5:09:17 temperature: no ada_p: No Discriminator_loss: 1.57333 Generator_loss: -0.0598719
[INFO] 2021-01-04 16:31:21 > Step: 12400 Progress: 12.4% Elapsed: 5:11:46 temperature: no ada_p: No Discriminator_loss: 0.780708 Generator_loss: -0.00298125
[INFO] 2021-01-04 16:33:50 > Step: 12500 Progress: 12.5% Elapsed: 5:14:15 temperature: no ada_p: No Discriminator_loss: 0.579892 Generator_loss: 0.106927
[INFO] 2021-01-04 16:36:19 > Step: 12600 Progress: 12.6% Elapsed: 5:16:44 temperature: no ada_p: No Discriminator_loss: 1.04993 Generator_loss: 0.0615735
[INFO] 2021-01-04 16:38:47 > Step: 12700 Progress: 12.7% Elapsed: 5:19:13 temperature: no ada_p: No Discriminator_loss: 1.36749 Generator_loss: 0.0388032
[INFO] 2021-01-04 16:41:16 > Step: 12800 Progress: 12.8% Elapsed: 5:21:42 temperature: no ada_p: No Discriminator_loss: 0.948527 Generator_loss: 0.0100915
[INFO] 2021-01-04 16:43:45 > Step: 12900 Progress: 12.9% Elapsed: 5:24:11 temperature: no ada_p: No Discriminator_loss: 0.46649 Generator_loss: 0.118916
[INFO] 2021-01-04 16:46:16 > Step: 13000 Progress: 13.0% Elapsed: 5:26:42 temperature: no ada_p: No Discriminator_loss: 0.755551 Generator_loss: 0.170596
[INFO] 2021-01-04 16:48:46 > Step: 13100 Progress: 13.1% Elapsed: 5:29:11 temperature: no ada_p: No Discriminator_loss: 0.448207 Generator_loss: 0.17033
[INFO] 2021-01-04 16:51:15 > Step: 13200 Progress: 13.2% Elapsed: 5:31:40 temperature: no ada_p: No Discriminator_loss: 0.471257 Generator_loss: 0.186664
[INFO] 2021-01-04 16:53:44 > Step: 13300 Progress: 13.3% Elapsed: 5:34:10 temperature: no ada_p: No Discriminator_loss: 0.763381 Generator_loss: 0.057191
[INFO] 2021-01-04 16:56:13 > Step: 13400 Progress: 13.4% Elapsed: 5:36:39 temperature: no ada_p: No Discriminator_loss: 0.740314 Generator_loss: 0.214136
[INFO] 2021-01-04 16:58:41 > Step: 13500 Progress: 13.5% Elapsed: 5:39:07 temperature: no ada_p: No Discriminator_loss: 0.35287 Generator_loss: 0.110024
[INFO] 2021-01-04 17:01:10 > Step: 13600 Progress: 13.6% Elapsed: 5:41:36 temperature: no ada_p: No Discriminator_loss: 0.521456 Generator_loss: 0.0973423
[INFO] 2021-01-04 17:03:39 > Step: 13700 Progress: 13.7% Elapsed: 5:44:04 temperature: no ada_p: No Discriminator_loss: 1.17991 Generator_loss: 0.0459772
[INFO] 2021-01-04 17:06:07 > Step: 13800 Progress: 13.8% Elapsed: 5:46:33 temperature: no ada_p: No Discriminator_loss: 0.220501 Generator_loss: 0.159419
[INFO] 2021-01-04 17:08:36 > Step: 13900 Progress: 13.9% Elapsed: 5:49:01 temperature: no ada_p: No Discriminator_loss: 1.30427 Generator_loss: 0.0517939
[INFO] 2021-01-04 17:11:05 > Step: 14000 Progress: 14.0% Elapsed: 5:51:30 temperature: no ada_p: No Discriminator_loss: 0.288606 Generator_loss: 0.19406
[INFO] 2021-01-04 17:11:05 > Start Evaluation (14000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 17:11:05 > Calculating FID Score....
[INFO] 2021-01-04 17:11:19 > Calculating Inception Score....
[INFO] 2021-01-04 17:11:22 > Calculate F_beta Score....
[INFO] 2021-01-04 17:11:37 > Calculate Accuracies....
[INFO] 2021-01-04 17:11:39 > Calculate Accuracies....
[INFO] 2021-01-04 17:11:41 > F_8 score (Step: 14000, Using valid images): 0.3670246548066972
[INFO] 2021-01-04 17:11:41 > F_1/8 score (Step: 14000, Using valid images): 0.07907899826385181
[INFO] 2021-01-04 17:11:41 > FID score (Step: 14000, Using valid moments): 405.8020818835381
[INFO] 2021-01-04 17:11:41 > Inception score (Step: 14000, 10000 generated images): 1.710867166519165
[INFO] 2021-01-04 17:11:41 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 17:11:48 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 17:14:17 > Step: 14100 Progress: 14.1% Elapsed: 5:54:43 temperature: no ada_p: No Discriminator_loss: 0.204947 Generator_loss: 0.138292
[INFO] 2021-01-04 17:16:46 > Step: 14200 Progress: 14.2% Elapsed: 5:57:12 temperature: no ada_p: No Discriminator_loss: 0.14733 Generator_loss: 0.111125
[INFO] 2021-01-04 17:19:15 > Step: 14300 Progress: 14.3% Elapsed: 5:59:41 temperature: no ada_p: No Discriminator_loss: 0.138509 Generator_loss: 0.0686035
[INFO] 2021-01-04 17:21:43 > Step: 14400 Progress: 14.4% Elapsed: 6:02:09 temperature: no ada_p: No Discriminator_loss: 0.0884476 Generator_loss: 0.092538
[INFO] 2021-01-04 17:24:11 > Step: 14500 Progress: 14.5% Elapsed: 6:04:37 temperature: no ada_p: No Discriminator_loss: 0.100582 Generator_loss: 0.171079
[INFO] 2021-01-04 17:26:40 > Step: 14600 Progress: 14.6% Elapsed: 6:07:06 temperature: no ada_p: No Discriminator_loss: 0.0703266 Generator_loss: 0.214198
[INFO] 2021-01-04 17:29:08 > Step: 14700 Progress: 14.7% Elapsed: 6:09:34 temperature: no ada_p: No Discriminator_loss: 1.84419 Generator_loss: -0.636761
[INFO] 2021-01-04 17:31:37 > Step: 14800 Progress: 14.8% Elapsed: 6:12:03 temperature: no ada_p: No Discriminator_loss: 1.69145 Generator_loss: -0.355798
[INFO] 2021-01-04 17:34:05 > Step: 14900 Progress: 14.9% Elapsed: 6:14:31 temperature: no ada_p: No Discriminator_loss: 1.52689 Generator_loss: -0.497157
[INFO] 2021-01-04 17:36:34 > Step: 15000 Progress: 15.0% Elapsed: 6:16:59 temperature: no ada_p: No Discriminator_loss: 1.21094 Generator_loss: -0.133495
[INFO] 2021-01-04 17:39:02 > Step: 15100 Progress: 15.1% Elapsed: 6:19:28 temperature: no ada_p: No Discriminator_loss: 1.7814 Generator_loss: 0.0378184
[INFO] 2021-01-04 17:41:31 > Step: 15200 Progress: 15.2% Elapsed: 6:21:57 temperature: no ada_p: No Discriminator_loss: 1.00391 Generator_loss: -0.0374267
[INFO] 2021-01-04 17:44:00 > Step: 15300 Progress: 15.3% Elapsed: 6:24:26 temperature: no ada_p: No Discriminator_loss: 0.730886 Generator_loss: 0.0746309
[INFO] 2021-01-04 17:46:28 > Step: 15400 Progress: 15.4% Elapsed: 6:26:54 temperature: no ada_p: No Discriminator_loss: 1.5936 Generator_loss: 0.0698805
[INFO] 2021-01-04 17:48:56 > Step: 15500 Progress: 15.5% Elapsed: 6:29:22 temperature: no ada_p: No Discriminator_loss: 1.24978 Generator_loss: 0.000233948
[INFO] 2021-01-04 17:51:25 > Step: 15600 Progress: 15.6% Elapsed: 6:31:51 temperature: no ada_p: No Discriminator_loss: 0.154873 Generator_loss: 0.0667511
[INFO] 2021-01-04 17:53:53 > Step: 15700 Progress: 15.7% Elapsed: 6:34:19 temperature: no ada_p: No Discriminator_loss: 0.12135 Generator_loss: 0.00165325
[INFO] 2021-01-04 17:56:21 > Step: 15800 Progress: 15.8% Elapsed: 6:36:47 temperature: no ada_p: No Discriminator_loss: 0.24935 Generator_loss: 0.163259
[INFO] 2021-01-04 17:58:50 > Step: 15900 Progress: 15.9% Elapsed: 6:39:16 temperature: no ada_p: No Discriminator_loss: 0.278901 Generator_loss: 0.162204
[INFO] 2021-01-04 18:01:19 > Step: 16000 Progress: 16.0% Elapsed: 6:41:45 temperature: no ada_p: No Discriminator_loss: 0.197676 Generator_loss: 0.206968
[INFO] 2021-01-04 18:01:19 > Start Evaluation (16000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 18:01:19 > Calculating FID Score....
[INFO] 2021-01-04 18:01:32 > Calculating Inception Score....
[INFO] 2021-01-04 18:01:35 > Calculate F_beta Score....
[INFO] 2021-01-04 18:01:51 > Calculate Accuracies....
[INFO] 2021-01-04 18:01:53 > Calculate Accuracies....
[INFO] 2021-01-04 18:01:55 > F_8 score (Step: 16000, Using valid images): 0.3697169829497501
[INFO] 2021-01-04 18:01:55 > F_1/8 score (Step: 16000, Using valid images): 0.06288228600412121
[INFO] 2021-01-04 18:01:55 > FID score (Step: 16000, Using valid moments): 431.9402123379775
[INFO] 2021-01-04 18:01:55 > Inception score (Step: 16000, 10000 generated images): 1.6614978313446045
[INFO] 2021-01-04 18:01:55 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 18:02:02 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 18:04:30 > Step: 16100 Progress: 16.1% Elapsed: 6:44:56 temperature: no ada_p: No Discriminator_loss: 0.0335697 Generator_loss: 0.0639977
[INFO] 2021-01-04 18:07:00 > Step: 16200 Progress: 16.2% Elapsed: 6:47:26 temperature: no ada_p: No Discriminator_loss: 0.0302909 Generator_loss: 0.197953
[INFO] 2021-01-04 18:09:29 > Step: 16300 Progress: 16.3% Elapsed: 6:49:55 temperature: no ada_p: No Discriminator_loss: 1.12161 Generator_loss: 0.269381
[INFO] 2021-01-04 18:11:59 > Step: 16400 Progress: 16.4% Elapsed: 6:52:24 temperature: no ada_p: No Discriminator_loss: 0.0720135 Generator_loss: 0.138391
[INFO] 2021-01-04 18:14:28 > Step: 16500 Progress: 16.5% Elapsed: 6:54:53 temperature: no ada_p: No Discriminator_loss: 0.186763 Generator_loss: 0.0436068
[INFO] 2021-01-04 18:16:57 > Step: 16600 Progress: 16.6% Elapsed: 6:57:22 temperature: no ada_p: No Discriminator_loss: 0.052463 Generator_loss: 0.0476174
[INFO] 2021-01-04 18:19:26 > Step: 16700 Progress: 16.7% Elapsed: 6:59:52 temperature: no ada_p: No Discriminator_loss: 0.0582079 Generator_loss: 0.106706
[INFO] 2021-01-04 18:21:54 > Step: 16800 Progress: 16.8% Elapsed: 7:02:20 temperature: no ada_p: No Discriminator_loss: 0.066937 Generator_loss: 0.137816
[INFO] 2021-01-04 18:24:24 > Step: 16900 Progress: 16.9% Elapsed: 7:04:49 temperature: no ada_p: No Discriminator_loss: 0.130835 Generator_loss: 0.0725635
[INFO] 2021-01-04 18:26:53 > Step: 17000 Progress: 17.0% Elapsed: 7:07:19 temperature: no ada_p: No Discriminator_loss: 0.126827 Generator_loss: 0.123164
[INFO] 2021-01-04 18:29:22 > Step: 17100 Progress: 17.1% Elapsed: 7:09:48 temperature: no ada_p: No Discriminator_loss: 1.92573 Generator_loss: -0.0695291
[INFO] 2021-01-04 18:31:52 > Step: 17200 Progress: 17.2% Elapsed: 7:12:17 temperature: no ada_p: No Discriminator_loss: 0.716836 Generator_loss: 0.218404
[INFO] 2021-01-04 18:34:21 > Step: 17300 Progress: 17.3% Elapsed: 7:14:47 temperature: no ada_p: No Discriminator_loss: 0.246685 Generator_loss: 0.145346
[INFO] 2021-01-04 18:36:50 > Step: 17400 Progress: 17.4% Elapsed: 7:17:16 temperature: no ada_p: No Discriminator_loss: 0.234284 Generator_loss: 0.183664
[INFO] 2021-01-04 18:39:20 > Step: 17500 Progress: 17.5% Elapsed: 7:19:45 temperature: no ada_p: No Discriminator_loss: 0.151545 Generator_loss: 0.150459
[INFO] 2021-01-04 18:41:48 > Step: 17600 Progress: 17.6% Elapsed: 7:22:14 temperature: no ada_p: No Discriminator_loss: 0.123095 Generator_loss: 0.0675362
[INFO] 2021-01-04 18:44:17 > Step: 17700 Progress: 17.7% Elapsed: 7:24:43 temperature: no ada_p: No Discriminator_loss: 0.100114 Generator_loss: 0.155268
[INFO] 2021-01-04 18:46:46 > Step: 17800 Progress: 17.8% Elapsed: 7:27:11 temperature: no ada_p: No Discriminator_loss: 0.331497 Generator_loss: 0.160503
[INFO] 2021-01-04 18:49:15 > Step: 17900 Progress: 17.9% Elapsed: 7:29:40 temperature: no ada_p: No Discriminator_loss: 0.709563 Generator_loss: 0.159121
[INFO] 2021-01-04 18:51:43 > Step: 18000 Progress: 18.0% Elapsed: 7:32:09 temperature: no ada_p: No Discriminator_loss: 0.168224 Generator_loss: 0.133456
[INFO] 2021-01-04 18:51:43 > Start Evaluation (18000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 18:51:43 > Calculating FID Score....
[INFO] 2021-01-04 18:51:57 > Calculating Inception Score....
[INFO] 2021-01-04 18:52:00 > Calculate F_beta Score....
[INFO] 2021-01-04 18:52:15 > Calculate Accuracies....
[INFO] 2021-01-04 18:52:18 > Calculate Accuracies....
[INFO] 2021-01-04 18:52:19 > F_8 score (Step: 18000, Using valid images): 0.23049684724125394
[INFO] 2021-01-04 18:52:19 > F_1/8 score (Step: 18000, Using valid images): 0.05946792331883688
[INFO] 2021-01-04 18:52:19 > FID score (Step: 18000, Using valid moments): 408.25107056247447
[INFO] 2021-01-04 18:52:19 > Inception score (Step: 18000, 10000 generated images): 1.9500311613082886
[INFO] 2021-01-04 18:52:19 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 18:52:26 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 18:54:55 > Step: 18100 Progress: 18.1% Elapsed: 7:35:21 temperature: no ada_p: No Discriminator_loss: 0.34388 Generator_loss: 0.125816
[INFO] 2021-01-04 18:57:24 > Step: 18200 Progress: 18.2% Elapsed: 7:37:49 temperature: no ada_p: No Discriminator_loss: 0.203749 Generator_loss: 0.171934
[INFO] 2021-01-04 18:59:52 > Step: 18300 Progress: 18.3% Elapsed: 7:40:17 temperature: no ada_p: No Discriminator_loss: 0.377994 Generator_loss: 0.144981
[INFO] 2021-01-04 19:02:20 > Step: 18400 Progress: 18.4% Elapsed: 7:42:46 temperature: no ada_p: No Discriminator_loss: 0.0950966 Generator_loss: 0.183704
[INFO] 2021-01-04 19:04:48 > Step: 18500 Progress: 18.5% Elapsed: 7:45:14 temperature: no ada_p: No Discriminator_loss: 1.87674 Generator_loss: -0.740335
[INFO] 2021-01-04 19:07:17 > Step: 18600 Progress: 18.6% Elapsed: 7:47:43 temperature: no ada_p: No Discriminator_loss: 1.1254 Generator_loss: -0.0231651
[INFO] 2021-01-04 19:09:47 > Step: 18700 Progress: 18.7% Elapsed: 7:50:12 temperature: no ada_p: No Discriminator_loss: 1.5926 Generator_loss: -0.0504718
[INFO] 2021-01-04 19:12:15 > Step: 18800 Progress: 18.8% Elapsed: 7:52:40 temperature: no ada_p: No Discriminator_loss: 1.53103 Generator_loss: -0.120843
[INFO] 2021-01-04 19:14:43 > Step: 18900 Progress: 18.9% Elapsed: 7:55:09 temperature: no ada_p: No Discriminator_loss: 1.793 Generator_loss: -0.162056
[INFO] 2021-01-04 19:17:12 > Step: 19000 Progress: 19.0% Elapsed: 7:57:38 temperature: no ada_p: No Discriminator_loss: 1.79484 Generator_loss: -0.175964
[INFO] 2021-01-04 19:19:41 > Step: 19100 Progress: 19.1% Elapsed: 8:00:07 temperature: no ada_p: No Discriminator_loss: 1.64105 Generator_loss: -0.116417
[INFO] 2021-01-04 19:22:09 > Step: 19200 Progress: 19.2% Elapsed: 8:02:35 temperature: no ada_p: No Discriminator_loss: 1.72439 Generator_loss: -0.0894051
[INFO] 2021-01-04 19:24:37 > Step: 19300 Progress: 19.3% Elapsed: 8:05:03 temperature: no ada_p: No Discriminator_loss: 1.65613 Generator_loss: -0.135071
[INFO] 2021-01-04 19:27:06 > Step: 19400 Progress: 19.4% Elapsed: 8:07:32 temperature: no ada_p: No Discriminator_loss: 1.70226 Generator_loss: -0.128885
[INFO] 2021-01-04 19:29:37 > Step: 19500 Progress: 19.5% Elapsed: 8:10:02 temperature: no ada_p: No Discriminator_loss: 1.55782 Generator_loss: -0.152218
[INFO] 2021-01-04 19:32:05 > Step: 19600 Progress: 19.6% Elapsed: 8:12:31 temperature: no ada_p: No Discriminator_loss: 1.52302 Generator_loss: -0.164057
[INFO] 2021-01-04 19:34:33 > Step: 19700 Progress: 19.7% Elapsed: 8:14:59 temperature: no ada_p: No Discriminator_loss: 1.94589 Generator_loss: -0.0390909
[INFO] 2021-01-04 19:37:02 > Step: 19800 Progress: 19.8% Elapsed: 8:17:27 temperature: no ada_p: No Discriminator_loss: 1.70727 Generator_loss: -0.435812
[INFO] 2021-01-04 19:39:31 > Step: 19900 Progress: 19.9% Elapsed: 8:19:56 temperature: no ada_p: No Discriminator_loss: 1.66439 Generator_loss: -0.183325
[INFO] 2021-01-04 19:41:59 > Step: 20000 Progress: 20.0% Elapsed: 8:22:25 temperature: no ada_p: No Discriminator_loss: 1.79775 Generator_loss: -0.179515
[INFO] 2021-01-04 19:41:59 > Start Evaluation (20000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 19:41:59 > Calculating FID Score....
[INFO] 2021-01-04 19:42:13 > Calculating Inception Score....
[INFO] 2021-01-04 19:42:16 > Calculate F_beta Score....
[INFO] 2021-01-04 19:42:30 > Calculate Accuracies....
[INFO] 2021-01-04 19:42:33 > Calculate Accuracies....
[INFO] 2021-01-04 19:42:35 > F_8 score (Step: 20000, Using valid images): 0.2689774746699531
[INFO] 2021-01-04 19:42:35 > F_1/8 score (Step: 20000, Using valid images): 0.08600521444868876
[INFO] 2021-01-04 19:42:35 > FID score (Step: 20000, Using valid moments): 381.53325669989715
[INFO] 2021-01-04 19:42:35 > Inception score (Step: 20000, 10000 generated images): 2.0508782863616943
[INFO] 2021-01-04 19:42:35 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 19:42:42 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 19:45:11 > Step: 20100 Progress: 20.1% Elapsed: 8:25:36 temperature: no ada_p: No Discriminator_loss: 1.71436 Generator_loss: -0.255105
[INFO] 2021-01-04 19:47:39 > Step: 20200 Progress: 20.2% Elapsed: 8:28:05 temperature: no ada_p: No Discriminator_loss: 1.2134 Generator_loss: -0.0704931
[INFO] 2021-01-04 19:50:07 > Step: 20300 Progress: 20.3% Elapsed: 8:30:33 temperature: no ada_p: No Discriminator_loss: 1.54433 Generator_loss: -0.068863
[INFO] 2021-01-04 19:52:36 > Step: 20400 Progress: 20.4% Elapsed: 8:33:02 temperature: no ada_p: No Discriminator_loss: 1.6762 Generator_loss: -0.119492
[INFO] 2021-01-04 19:55:05 > Step: 20500 Progress: 20.5% Elapsed: 8:35:31 temperature: no ada_p: No Discriminator_loss: 1.5009 Generator_loss: -0.104132
[INFO] 2021-01-04 19:57:33 > Step: 20600 Progress: 20.6% Elapsed: 8:37:59 temperature: no ada_p: No Discriminator_loss: 1.1243 Generator_loss: 0.103461
[INFO] 2021-01-04 20:00:02 > Step: 20700 Progress: 20.7% Elapsed: 8:40:28 temperature: no ada_p: No Discriminator_loss: 1.32493 Generator_loss: 0.0657266
[INFO] 2021-01-04 20:02:31 > Step: 20800 Progress: 20.8% Elapsed: 8:42:57 temperature: no ada_p: No Discriminator_loss: 0.828112 Generator_loss: 0.124342
[INFO] 2021-01-04 20:05:00 > Step: 20900 Progress: 20.9% Elapsed: 8:45:26 temperature: no ada_p: No Discriminator_loss: 1.61165 Generator_loss: 0.0679161
[INFO] 2021-01-04 20:07:29 > Step: 21000 Progress: 21.0% Elapsed: 8:47:55 temperature: no ada_p: No Discriminator_loss: 0.620284 Generator_loss: 0.171787
[INFO] 2021-01-04 20:09:58 > Step: 21100 Progress: 21.1% Elapsed: 8:50:24 temperature: no ada_p: No Discriminator_loss: 1.08276 Generator_loss: 0.0851399
[INFO] 2021-01-04 20:12:27 > Step: 21200 Progress: 21.2% Elapsed: 8:52:53 temperature: no ada_p: No Discriminator_loss: 1.68684 Generator_loss: 0.0548162
[INFO] 2021-01-04 20:14:56 > Step: 21300 Progress: 21.3% Elapsed: 8:55:22 temperature: no ada_p: No Discriminator_loss: 0.799337 Generator_loss: -0.0228245
[INFO] 2021-01-04 20:17:26 > Step: 21400 Progress: 21.4% Elapsed: 8:57:51 temperature: no ada_p: No Discriminator_loss: 1.68441 Generator_loss: 0.109289
[INFO] 2021-01-04 20:19:55 > Step: 21500 Progress: 21.5% Elapsed: 9:00:21 temperature: no ada_p: No Discriminator_loss: 0.990128 Generator_loss: 0.180601
[INFO] 2021-01-04 20:22:24 > Step: 21600 Progress: 21.6% Elapsed: 9:02:50 temperature: no ada_p: No Discriminator_loss: 1.11112 Generator_loss: 0.148826
[INFO] 2021-01-04 20:24:53 > Step: 21700 Progress: 21.7% Elapsed: 9:05:18 temperature: no ada_p: No Discriminator_loss: 1.04267 Generator_loss: 0.00377095
[INFO] 2021-01-04 20:27:22 > Step: 21800 Progress: 21.8% Elapsed: 9:07:48 temperature: no ada_p: No Discriminator_loss: 0.450088 Generator_loss: 0.125822
[INFO] 2021-01-04 20:29:51 > Step: 21900 Progress: 21.9% Elapsed: 9:10:16 temperature: no ada_p: No Discriminator_loss: 0.438417 Generator_loss: 0.201817
[INFO] 2021-01-04 20:32:20 > Step: 22000 Progress: 22.0% Elapsed: 9:12:45 temperature: no ada_p: No Discriminator_loss: 0.437422 Generator_loss: 0.132746
[INFO] 2021-01-04 20:32:20 > Start Evaluation (22000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 20:32:20 > Calculating FID Score....
[INFO] 2021-01-04 20:32:33 > Calculating Inception Score....
[INFO] 2021-01-04 20:32:36 > Calculate F_beta Score....
[INFO] 2021-01-04 20:32:51 > Calculate Accuracies....
[INFO] 2021-01-04 20:32:54 > Calculate Accuracies....
[INFO] 2021-01-04 20:32:55 > F_8 score (Step: 22000, Using valid images): 0.22156613216303334
[INFO] 2021-01-04 20:32:55 > F_1/8 score (Step: 22000, Using valid images): 0.09649924111332822
[INFO] 2021-01-04 20:32:55 > FID score (Step: 22000, Using valid moments): 378.778841448409
[INFO] 2021-01-04 20:32:55 > Inception score (Step: 22000, 10000 generated images): 1.9976084232330322
[INFO] 2021-01-04 20:32:55 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 20:33:03 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 20:35:32 > Step: 22100 Progress: 22.1% Elapsed: 9:15:58 temperature: no ada_p: No Discriminator_loss: 0.939942 Generator_loss: 0.0308416
[INFO] 2021-01-04 20:38:00 > Step: 22200 Progress: 22.2% Elapsed: 9:18:26 temperature: no ada_p: No Discriminator_loss: 0.328749 Generator_loss: 0.0707701
[INFO] 2021-01-04 20:40:29 > Step: 22300 Progress: 22.3% Elapsed: 9:20:55 temperature: no ada_p: No Discriminator_loss: 0.328652 Generator_loss: 0.135717
[INFO] 2021-01-04 20:42:58 > Step: 22400 Progress: 22.4% Elapsed: 9:23:24 temperature: no ada_p: No Discriminator_loss: 0.381626 Generator_loss: 0.136927
[INFO] 2021-01-04 20:45:26 > Step: 22500 Progress: 22.5% Elapsed: 9:25:52 temperature: no ada_p: No Discriminator_loss: 1.4857 Generator_loss: 0.1579
[INFO] 2021-01-04 20:47:54 > Step: 22600 Progress: 22.6% Elapsed: 9:28:20 temperature: no ada_p: No Discriminator_loss: 1.25864 Generator_loss: 0.116954
[INFO] 2021-01-04 20:50:24 > Step: 22700 Progress: 22.7% Elapsed: 9:30:50 temperature: no ada_p: No Discriminator_loss: 0.663665 Generator_loss: 0.243327
[INFO] 2021-01-04 20:52:54 > Step: 22800 Progress: 22.8% Elapsed: 9:33:19 temperature: no ada_p: No Discriminator_loss: 0.393634 Generator_loss: 0.137495
[INFO] 2021-01-04 20:55:22 > Step: 22900 Progress: 22.9% Elapsed: 9:35:48 temperature: no ada_p: No Discriminator_loss: 0.558772 Generator_loss: 0.0999958
[INFO] 2021-01-04 20:57:51 > Step: 23000 Progress: 23.0% Elapsed: 9:38:16 temperature: no ada_p: No Discriminator_loss: 1.28559 Generator_loss: 0.116372
[INFO] 2021-01-04 21:00:20 > Step: 23100 Progress: 23.1% Elapsed: 9:40:45 temperature: no ada_p: No Discriminator_loss: 0.364994 Generator_loss: 0.121376
[INFO] 2021-01-04 21:02:48 > Step: 23200 Progress: 23.2% Elapsed: 9:43:14 temperature: no ada_p: No Discriminator_loss: 0.177872 Generator_loss: 0.1172
[INFO] 2021-01-04 21:05:16 > Step: 23300 Progress: 23.3% Elapsed: 9:45:42 temperature: no ada_p: No Discriminator_loss: 0.156771 Generator_loss: 0.123083
[INFO] 2021-01-04 21:07:46 > Step: 23400 Progress: 23.4% Elapsed: 9:48:11 temperature: no ada_p: No Discriminator_loss: 0.293417 Generator_loss: 0.108519
[INFO] 2021-01-04 21:10:14 > Step: 23500 Progress: 23.5% Elapsed: 9:50:40 temperature: no ada_p: No Discriminator_loss: 0.0962295 Generator_loss: 0.116594
[INFO] 2021-01-04 21:12:43 > Step: 23600 Progress: 23.6% Elapsed: 9:53:09 temperature: no ada_p: No Discriminator_loss: 0.123128 Generator_loss: 0.085317
[INFO] 2021-01-04 21:15:13 > Step: 23700 Progress: 23.7% Elapsed: 9:55:38 temperature: no ada_p: No Discriminator_loss: 0.0878343 Generator_loss: 0.18191
[INFO] 2021-01-04 21:17:42 > Step: 23800 Progress: 23.8% Elapsed: 9:58:07 temperature: no ada_p: No Discriminator_loss: 0.0386795 Generator_loss: 0.134984
[INFO] 2021-01-04 21:20:11 > Step: 23900 Progress: 23.9% Elapsed: 10:00:36 temperature: no ada_p: No Discriminator_loss: 0.153486 Generator_loss: 0.177279
[INFO] 2021-01-04 21:22:40 > Step: 24000 Progress: 24.0% Elapsed: 10:03:06 temperature: no ada_p: No Discriminator_loss: 0.115908 Generator_loss: 0.110791
[INFO] 2021-01-04 21:22:40 > Start Evaluation (24000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 21:22:40 > Calculating FID Score....
[INFO] 2021-01-04 21:22:54 > Calculating Inception Score....
[INFO] 2021-01-04 21:22:57 > Calculate F_beta Score....
[INFO] 2021-01-04 21:23:12 > Calculate Accuracies....
[INFO] 2021-01-04 21:23:15 > Calculate Accuracies....
[INFO] 2021-01-04 21:23:16 > F_8 score (Step: 24000, Using valid images): 0.22006339395508254
[INFO] 2021-01-04 21:23:16 > F_1/8 score (Step: 24000, Using valid images): 0.09640284874847427
[INFO] 2021-01-04 21:23:16 > FID score (Step: 24000, Using valid moments): 382.5290004339133
[INFO] 2021-01-04 21:23:16 > Inception score (Step: 24000, 10000 generated images): 1.964818000793457
[INFO] 2021-01-04 21:23:16 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 21:23:23 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 21:25:52 > Step: 24100 Progress: 24.1% Elapsed: 10:06:18 temperature: no ada_p: No Discriminator_loss: 0.286187 Generator_loss: 0.0598918
[INFO] 2021-01-04 21:28:21 > Step: 24200 Progress: 24.2% Elapsed: 10:08:46 temperature: no ada_p: No Discriminator_loss: 0.0739017 Generator_loss: 0.108846
[INFO] 2021-01-04 21:30:50 > Step: 24300 Progress: 24.3% Elapsed: 10:11:15 temperature: no ada_p: No Discriminator_loss: 0.0900508 Generator_loss: 0.187379
[INFO] 2021-01-04 21:33:19 > Step: 24400 Progress: 24.4% Elapsed: 10:13:44 temperature: no ada_p: No Discriminator_loss: 0.030389 Generator_loss: 0.0713373
[INFO] 2021-01-04 21:35:47 > Step: 24500 Progress: 24.5% Elapsed: 10:16:13 temperature: no ada_p: No Discriminator_loss: 0.58124 Generator_loss: 0.0476971
[INFO] 2021-01-04 21:38:16 > Step: 24600 Progress: 24.6% Elapsed: 10:18:42 temperature: no ada_p: No Discriminator_loss: 0.674584 Generator_loss: 0.0477056
[INFO] 2021-01-04 21:40:45 > Step: 24700 Progress: 24.7% Elapsed: 10:21:11 temperature: no ada_p: No Discriminator_loss: 0.0339009 Generator_loss: 0.127869
[INFO] 2021-01-04 21:43:14 > Step: 24800 Progress: 24.8% Elapsed: 10:23:40 temperature: no ada_p: No Discriminator_loss: 0.192871 Generator_loss: 0.141826
[INFO] 2021-01-04 21:45:42 > Step: 24900 Progress: 24.9% Elapsed: 10:26:08 temperature: no ada_p: No Discriminator_loss: 0.0619019 Generator_loss: 0.0669966
[INFO] 2021-01-04 21:48:11 > Step: 25000 Progress: 25.0% Elapsed: 10:28:36 temperature: no ada_p: No Discriminator_loss: 0.163863 Generator_loss: 0.165268
[INFO] 2021-01-04 21:50:40 > Step: 25100 Progress: 25.1% Elapsed: 10:31:06 temperature: no ada_p: No Discriminator_loss: 0.141885 Generator_loss: 0.0656882
[INFO] 2021-01-04 21:53:08 > Step: 25200 Progress: 25.2% Elapsed: 10:33:34 temperature: no ada_p: No Discriminator_loss: 0.905464 Generator_loss: -0.030862
[INFO] 2021-01-04 21:55:35 > Step: 25300 Progress: 25.3% Elapsed: 10:36:01 temperature: no ada_p: No Discriminator_loss: 0.420266 Generator_loss: 0.0829085
[INFO] 2021-01-04 21:58:03 > Step: 25400 Progress: 25.4% Elapsed: 10:38:29 temperature: no ada_p: No Discriminator_loss: 0.166958 Generator_loss: 0.0850667
[INFO] 2021-01-04 22:00:32 > Step: 25500 Progress: 25.5% Elapsed: 10:40:58 temperature: no ada_p: No Discriminator_loss: 0.0989666 Generator_loss: 0.0644976
[INFO] 2021-01-04 22:03:00 > Step: 25600 Progress: 25.6% Elapsed: 10:43:26 temperature: no ada_p: No Discriminator_loss: 0.102007 Generator_loss: 0.110938
[INFO] 2021-01-04 22:05:28 > Step: 25700 Progress: 25.7% Elapsed: 10:45:54 temperature: no ada_p: No Discriminator_loss: 0.0619739 Generator_loss: 0.0964082
[INFO] 2021-01-04 22:07:57 > Step: 25800 Progress: 25.8% Elapsed: 10:48:23 temperature: no ada_p: No Discriminator_loss: 1.6356 Generator_loss: -0.0713612
[INFO] 2021-01-04 22:10:27 > Step: 25900 Progress: 25.9% Elapsed: 10:50:53 temperature: no ada_p: No Discriminator_loss: 0.999961 Generator_loss: -0.00902843
[INFO] 2021-01-04 22:12:55 > Step: 26000 Progress: 26.0% Elapsed: 10:53:21 temperature: no ada_p: No Discriminator_loss: 2.04262 Generator_loss: 0.108054
[INFO] 2021-01-04 22:12:55 > Start Evaluation (26000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 22:12:55 > Calculating FID Score....
[INFO] 2021-01-04 22:13:09 > Calculating Inception Score....
[INFO] 2021-01-04 22:13:12 > Calculate F_beta Score....
[INFO] 2021-01-04 22:13:27 > Calculate Accuracies....
[INFO] 2021-01-04 22:13:30 > Calculate Accuracies....
[INFO] 2021-01-04 22:13:31 > F_8 score (Step: 26000, Using valid images): 0.25406154029796774
[INFO] 2021-01-04 22:13:31 > F_1/8 score (Step: 26000, Using valid images): 0.10274963477192553
[INFO] 2021-01-04 22:13:31 > FID score (Step: 26000, Using valid moments): 383.66994034080795
[INFO] 2021-01-04 22:13:31 > Inception score (Step: 26000, 10000 generated images): 1.949275016784668
[INFO] 2021-01-04 22:13:31 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 22:13:38 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 22:16:07 > Step: 26100 Progress: 26.1% Elapsed: 10:56:33 temperature: no ada_p: No Discriminator_loss: 0.73261 Generator_loss: 0.0170326
[INFO] 2021-01-04 22:18:35 > Step: 26200 Progress: 26.2% Elapsed: 10:59:01 temperature: no ada_p: No Discriminator_loss: 1.08821 Generator_loss: 0.387748
[INFO] 2021-01-04 22:21:03 > Step: 26300 Progress: 26.3% Elapsed: 11:01:29 temperature: no ada_p: No Discriminator_loss: 0.196549 Generator_loss: 0.149013
[INFO] 2021-01-04 22:23:32 > Step: 26400 Progress: 26.4% Elapsed: 11:03:58 temperature: no ada_p: No Discriminator_loss: 0.468654 Generator_loss: 0.0559751
[INFO] 2021-01-04 22:26:01 > Step: 26500 Progress: 26.5% Elapsed: 11:06:27 temperature: no ada_p: No Discriminator_loss: 0.287197 Generator_loss: 0.0889385
[INFO] 2021-01-04 22:28:30 > Step: 26600 Progress: 26.6% Elapsed: 11:08:55 temperature: no ada_p: No Discriminator_loss: 0.264636 Generator_loss: 0.0976654
[INFO] 2021-01-04 22:30:59 > Step: 26700 Progress: 26.7% Elapsed: 11:11:24 temperature: no ada_p: No Discriminator_loss: 0.315188 Generator_loss: 0.0563157
[INFO] 2021-01-04 22:33:27 > Step: 26800 Progress: 26.8% Elapsed: 11:13:53 temperature: no ada_p: No Discriminator_loss: 0.146632 Generator_loss: 0.145435
[INFO] 2021-01-04 22:35:55 > Step: 26900 Progress: 26.9% Elapsed: 11:16:21 temperature: no ada_p: No Discriminator_loss: 0.247316 Generator_loss: 0.140441
[INFO] 2021-01-04 22:38:24 > Step: 27000 Progress: 27.0% Elapsed: 11:18:50 temperature: no ada_p: No Discriminator_loss: 0.166049 Generator_loss: 0.0950764
[INFO] 2021-01-04 22:40:53 > Step: 27100 Progress: 27.1% Elapsed: 11:21:19 temperature: no ada_p: No Discriminator_loss: 0.110504 Generator_loss: 0.141397
[INFO] 2021-01-04 22:43:22 > Step: 27200 Progress: 27.2% Elapsed: 11:23:47 temperature: no ada_p: No Discriminator_loss: 0.153467 Generator_loss: 0.142885
[INFO] 2021-01-04 22:45:50 > Step: 27300 Progress: 27.3% Elapsed: 11:26:16 temperature: no ada_p: No Discriminator_loss: 0.249133 Generator_loss: 0.0995344
[INFO] 2021-01-04 22:48:19 > Step: 27400 Progress: 27.4% Elapsed: 11:28:44 temperature: no ada_p: No Discriminator_loss: 1.98971 Generator_loss: -1.19841
[INFO] 2021-01-04 22:50:47 > Step: 27500 Progress: 27.5% Elapsed: 11:31:13 temperature: no ada_p: No Discriminator_loss: 0.818123 Generator_loss: 0.0329928
[INFO] 2021-01-04 22:53:15 > Step: 27600 Progress: 27.6% Elapsed: 11:33:40 temperature: no ada_p: No Discriminator_loss: 1.20285 Generator_loss: 0.012248
[INFO] 2021-01-04 22:55:44 > Step: 27700 Progress: 27.7% Elapsed: 11:36:09 temperature: no ada_p: No Discriminator_loss: 1.3352 Generator_loss: 0.00587159
[INFO] 2021-01-04 22:58:13 > Step: 27800 Progress: 27.8% Elapsed: 11:38:39 temperature: no ada_p: No Discriminator_loss: 1.45825 Generator_loss: -0.0581617
[INFO] 2021-01-04 23:00:42 > Step: 27900 Progress: 27.9% Elapsed: 11:41:08 temperature: no ada_p: No Discriminator_loss: 1.76758 Generator_loss: 0.095029
[INFO] 2021-01-04 23:03:10 > Step: 28000 Progress: 28.0% Elapsed: 11:43:36 temperature: no ada_p: No Discriminator_loss: 0.822741 Generator_loss: 0.0949476
[INFO] 2021-01-04 23:03:10 > Start Evaluation (28000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 23:03:10 > Calculating FID Score....
[INFO] 2021-01-04 23:03:24 > Calculating Inception Score....
[INFO] 2021-01-04 23:03:27 > Calculate F_beta Score....
[INFO] 2021-01-04 23:03:42 > Calculate Accuracies....
[INFO] 2021-01-04 23:03:44 > Calculate Accuracies....
[INFO] 2021-01-04 23:03:46 > F_8 score (Step: 28000, Using valid images): 0.20491802870439968
[INFO] 2021-01-04 23:03:46 > F_1/8 score (Step: 28000, Using valid images): 0.11799230527230797
[INFO] 2021-01-04 23:03:46 > FID score (Step: 28000, Using valid moments): 376.4130878479716
[INFO] 2021-01-04 23:03:46 > Inception score (Step: 28000, 10000 generated images): 2.0184073448181152
[INFO] 2021-01-04 23:03:46 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 23:03:53 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 23:06:22 > Step: 28100 Progress: 28.1% Elapsed: 11:46:47 temperature: no ada_p: No Discriminator_loss: 0.638121 Generator_loss: 0.194905
[INFO] 2021-01-04 23:08:51 > Step: 28200 Progress: 28.2% Elapsed: 11:49:17 temperature: no ada_p: No Discriminator_loss: 1.53953 Generator_loss: 0.0573527
[INFO] 2021-01-04 23:11:20 > Step: 28300 Progress: 28.3% Elapsed: 11:51:45 temperature: no ada_p: No Discriminator_loss: 0.714661 Generator_loss: 0.0359012
[INFO] 2021-01-04 23:13:49 > Step: 28400 Progress: 28.4% Elapsed: 11:54:14 temperature: no ada_p: No Discriminator_loss: 0.785134 Generator_loss: 0.0717992
[INFO] 2021-01-04 23:16:17 > Step: 28500 Progress: 28.5% Elapsed: 11:56:43 temperature: no ada_p: No Discriminator_loss: 0.56358 Generator_loss: 0.108372
[INFO] 2021-01-04 23:18:45 > Step: 28600 Progress: 28.6% Elapsed: 11:59:11 temperature: no ada_p: No Discriminator_loss: 1.20651 Generator_loss: 0.192143
[INFO] 2021-01-04 23:21:14 > Step: 28700 Progress: 28.7% Elapsed: 12:01:39 temperature: no ada_p: No Discriminator_loss: 1.45493 Generator_loss: 0.0835819
[INFO] 2021-01-04 23:23:42 > Step: 28800 Progress: 28.8% Elapsed: 12:04:08 temperature: no ada_p: No Discriminator_loss: 0.709288 Generator_loss: 0.0333951
[INFO] 2021-01-04 23:26:11 > Step: 28900 Progress: 28.9% Elapsed: 12:06:37 temperature: no ada_p: No Discriminator_loss: 0.281601 Generator_loss: 0.169965
[INFO] 2021-01-04 23:28:39 > Step: 29000 Progress: 29.0% Elapsed: 12:09:05 temperature: no ada_p: No Discriminator_loss: 0.746744 Generator_loss: 0.137098
[INFO] 2021-01-04 23:31:08 > Step: 29100 Progress: 29.1% Elapsed: 12:11:34 temperature: no ada_p: No Discriminator_loss: 0.29966 Generator_loss: 0.17766
[INFO] 2021-01-04 23:33:38 > Step: 29200 Progress: 29.2% Elapsed: 12:14:04 temperature: no ada_p: No Discriminator_loss: 0.380562 Generator_loss: 0.144468
[INFO] 2021-01-04 23:36:07 > Step: 29300 Progress: 29.3% Elapsed: 12:16:33 temperature: no ada_p: No Discriminator_loss: 0.551336 Generator_loss: 0.133463
[INFO] 2021-01-04 23:38:36 > Step: 29400 Progress: 29.4% Elapsed: 12:19:02 temperature: no ada_p: No Discriminator_loss: 0.704265 Generator_loss: 0.15664
[INFO] 2021-01-04 23:41:05 > Step: 29500 Progress: 29.5% Elapsed: 12:21:31 temperature: no ada_p: No Discriminator_loss: 0.460466 Generator_loss: 0.149358
[INFO] 2021-01-04 23:43:34 > Step: 29600 Progress: 29.6% Elapsed: 12:23:59 temperature: no ada_p: No Discriminator_loss: 0.407012 Generator_loss: 0.089567
[INFO] 2021-01-04 23:46:02 > Step: 29700 Progress: 29.7% Elapsed: 12:26:28 temperature: no ada_p: No Discriminator_loss: 0.594836 Generator_loss: 0.0497152
[INFO] 2021-01-04 23:48:30 > Step: 29800 Progress: 29.8% Elapsed: 12:28:56 temperature: no ada_p: No Discriminator_loss: 0.490697 Generator_loss: 0.0918846
[INFO] 2021-01-04 23:50:58 > Step: 29900 Progress: 29.9% Elapsed: 12:31:24 temperature: no ada_p: No Discriminator_loss: 0.232902 Generator_loss: 0.0705307
[INFO] 2021-01-04 23:53:27 > Step: 30000 Progress: 30.0% Elapsed: 12:33:53 temperature: no ada_p: No Discriminator_loss: 0.389847 Generator_loss: 0.077574
[INFO] 2021-01-04 23:53:27 > Start Evaluation (30000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 23:53:27 > Calculating FID Score....
[INFO] 2021-01-04 23:53:41 > Calculating Inception Score....
[INFO] 2021-01-04 23:53:44 > Calculate F_beta Score....
[INFO] 2021-01-04 23:53:59 > Calculate Accuracies....
[INFO] 2021-01-04 23:54:02 > Calculate Accuracies....
[INFO] 2021-01-04 23:54:03 > F_8 score (Step: 30000, Using valid images): 0.23987720667346063
[INFO] 2021-01-04 23:54:03 > F_1/8 score (Step: 30000, Using valid images): 0.12305623005129501
[INFO] 2021-01-04 23:54:03 > FID score (Step: 30000, Using valid moments): 326.99176593698166
[INFO] 2021-01-04 23:54:03 > Inception score (Step: 30000, 10000 generated images): 2.1969845294952393
[INFO] 2021-01-04 23:54:03 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-04 23:54:10 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-04 23:56:39 > Step: 30100 Progress: 30.1% Elapsed: 12:37:04 temperature: no ada_p: No Discriminator_loss: 0.615764 Generator_loss: -0.00716376
[INFO] 2021-01-04 23:59:07 > Step: 30200 Progress: 30.2% Elapsed: 12:39:32 temperature: no ada_p: No Discriminator_loss: 0.749833 Generator_loss: 0.194125
[INFO] 2021-01-05 00:01:36 > Step: 30300 Progress: 30.3% Elapsed: 12:42:01 temperature: no ada_p: No Discriminator_loss: 0.241585 Generator_loss: 0.136944
[INFO] 2021-01-05 00:04:05 > Step: 30400 Progress: 30.4% Elapsed: 12:44:31 temperature: no ada_p: No Discriminator_loss: 0.521965 Generator_loss: 0.165881
[INFO] 2021-01-05 00:06:34 > Step: 30500 Progress: 30.5% Elapsed: 12:46:59 temperature: no ada_p: No Discriminator_loss: 0.786655 Generator_loss: 0.128801
[INFO] 2021-01-05 00:09:02 > Step: 30600 Progress: 30.6% Elapsed: 12:49:28 temperature: no ada_p: No Discriminator_loss: 0.525288 Generator_loss: 0.114839
[INFO] 2021-01-05 00:11:31 > Step: 30700 Progress: 30.7% Elapsed: 12:51:57 temperature: no ada_p: No Discriminator_loss: 1.16111 Generator_loss: -0.0451035
[INFO] 2021-01-05 00:14:00 > Step: 30800 Progress: 30.8% Elapsed: 12:54:26 temperature: no ada_p: No Discriminator_loss: 0.712055 Generator_loss: 0.106333
[INFO] 2021-01-05 00:16:29 > Step: 30900 Progress: 30.9% Elapsed: 12:56:55 temperature: no ada_p: No Discriminator_loss: 0.937701 Generator_loss: 0.150677
[INFO] 2021-01-05 00:18:58 > Step: 31000 Progress: 31.0% Elapsed: 12:59:24 temperature: no ada_p: No Discriminator_loss: 0.754444 Generator_loss: 0.0534992
[INFO] 2021-01-05 00:21:27 > Step: 31100 Progress: 31.1% Elapsed: 13:01:53 temperature: no ada_p: No Discriminator_loss: 0.452891 Generator_loss: 0.132035
[INFO] 2021-01-05 00:23:57 > Step: 31200 Progress: 31.2% Elapsed: 13:04:22 temperature: no ada_p: No Discriminator_loss: 1.7748 Generator_loss: 0.0911071
[INFO] 2021-01-05 00:26:26 > Step: 31300 Progress: 31.3% Elapsed: 13:06:52 temperature: no ada_p: No Discriminator_loss: 1.73286 Generator_loss: -0.147147
[INFO] 2021-01-05 00:28:54 > Step: 31400 Progress: 31.4% Elapsed: 13:09:20 temperature: no ada_p: No Discriminator_loss: 1.55152 Generator_loss: -0.389953
[INFO] 2021-01-05 00:31:23 > Step: 31500 Progress: 31.5% Elapsed: 13:11:49 temperature: no ada_p: No Discriminator_loss: 0.589547 Generator_loss: 0.0975463
[INFO] 2021-01-05 00:33:51 > Step: 31600 Progress: 31.6% Elapsed: 13:14:17 temperature: no ada_p: No Discriminator_loss: 0.996236 Generator_loss: -0.018568
[INFO] 2021-01-05 00:36:20 > Step: 31700 Progress: 31.7% Elapsed: 13:16:46 temperature: no ada_p: No Discriminator_loss: 0.912888 Generator_loss: 0.111492
[INFO] 2021-01-05 00:38:48 > Step: 31800 Progress: 31.8% Elapsed: 13:19:14 temperature: no ada_p: No Discriminator_loss: 1.04533 Generator_loss: 0.130211
[INFO] 2021-01-05 00:41:16 > Step: 31900 Progress: 31.9% Elapsed: 13:21:42 temperature: no ada_p: No Discriminator_loss: 0.504127 Generator_loss: 0.077059
[INFO] 2021-01-05 00:43:45 > Step: 32000 Progress: 32.0% Elapsed: 13:24:10 temperature: no ada_p: No Discriminator_loss: 0.409859 Generator_loss: 0.0590394
[INFO] 2021-01-05 00:43:45 > Start Evaluation (32000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 00:43:45 > Calculating FID Score....
[INFO] 2021-01-05 00:43:58 > Calculating Inception Score....
[INFO] 2021-01-05 00:44:01 > Calculate F_beta Score....
[INFO] 2021-01-05 00:44:17 > Calculate Accuracies....
[INFO] 2021-01-05 00:44:19 > Calculate Accuracies....
[INFO] 2021-01-05 00:44:21 > F_8 score (Step: 32000, Using valid images): 0.18414844661718122
[INFO] 2021-01-05 00:44:21 > F_1/8 score (Step: 32000, Using valid images): 0.126246665227229
[INFO] 2021-01-05 00:44:21 > FID score (Step: 32000, Using valid moments): 291.57179849404076
[INFO] 2021-01-05 00:44:21 > Inception score (Step: 32000, 10000 generated images): 2.3665027618408203
[INFO] 2021-01-05 00:44:21 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 00:44:28 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 00:46:56 > Step: 32100 Progress: 32.1% Elapsed: 13:27:21 temperature: no ada_p: No Discriminator_loss: 0.444298 Generator_loss: 0.156345
[INFO] 2021-01-05 00:49:24 > Step: 32200 Progress: 32.2% Elapsed: 13:29:50 temperature: no ada_p: No Discriminator_loss: 0.453351 Generator_loss: 0.102573
[INFO] 2021-01-05 00:51:53 > Step: 32300 Progress: 32.3% Elapsed: 13:32:19 temperature: no ada_p: No Discriminator_loss: 0.410811 Generator_loss: 0.166178
[INFO] 2021-01-05 00:54:23 > Step: 32400 Progress: 32.4% Elapsed: 13:34:49 temperature: no ada_p: No Discriminator_loss: 0.421846 Generator_loss: 0.0273517
[INFO] 2021-01-05 00:56:53 > Step: 32500 Progress: 32.5% Elapsed: 13:37:18 temperature: no ada_p: No Discriminator_loss: 0.344139 Generator_loss: 0.241433
[INFO] 2021-01-05 00:59:22 > Step: 32600 Progress: 32.6% Elapsed: 13:39:48 temperature: no ada_p: No Discriminator_loss: 0.193053 Generator_loss: 0.188192
[INFO] 2021-01-05 01:01:50 > Step: 32700 Progress: 32.7% Elapsed: 13:42:16 temperature: no ada_p: No Discriminator_loss: 0.334627 Generator_loss: 0.147926
[INFO] 2021-01-05 01:04:18 > Step: 32800 Progress: 32.8% Elapsed: 13:44:44 temperature: no ada_p: No Discriminator_loss: 0.320635 Generator_loss: 0.238711
[INFO] 2021-01-05 01:06:47 > Step: 32900 Progress: 32.9% Elapsed: 13:47:13 temperature: no ada_p: No Discriminator_loss: 0.321616 Generator_loss: 0.0911764
[INFO] 2021-01-05 01:09:16 > Step: 33000 Progress: 33.0% Elapsed: 13:49:42 temperature: no ada_p: No Discriminator_loss: 0.514381 Generator_loss: 0.157091
[INFO] 2021-01-05 01:11:44 > Step: 33100 Progress: 33.1% Elapsed: 13:52:10 temperature: no ada_p: No Discriminator_loss: 0.415754 Generator_loss: 0.153977
[INFO] 2021-01-05 01:14:12 > Step: 33200 Progress: 33.2% Elapsed: 13:54:38 temperature: no ada_p: No Discriminator_loss: 0.363555 Generator_loss: 0.147839
[INFO] 2021-01-05 01:16:41 > Step: 33300 Progress: 33.3% Elapsed: 13:57:07 temperature: no ada_p: No Discriminator_loss: 0.302238 Generator_loss: 0.102003
[INFO] 2021-01-05 01:19:10 > Step: 33400 Progress: 33.4% Elapsed: 13:59:35 temperature: no ada_p: No Discriminator_loss: 0.255745 Generator_loss: 0.200972
[INFO] 2021-01-05 01:21:38 > Step: 33500 Progress: 33.5% Elapsed: 14:02:04 temperature: no ada_p: No Discriminator_loss: 0.184038 Generator_loss: 0.096945
[INFO] 2021-01-05 01:24:07 > Step: 33600 Progress: 33.6% Elapsed: 14:04:33 temperature: no ada_p: No Discriminator_loss: 0.223343 Generator_loss: 0.0938097
[INFO] 2021-01-05 01:26:36 > Step: 33700 Progress: 33.7% Elapsed: 14:07:02 temperature: no ada_p: No Discriminator_loss: 0.138776 Generator_loss: 0.0855498
[INFO] 2021-01-05 01:29:04 > Step: 33800 Progress: 33.8% Elapsed: 14:09:30 temperature: no ada_p: No Discriminator_loss: 0.477748 Generator_loss: 0.0850062
[INFO] 2021-01-05 01:31:34 > Step: 33900 Progress: 33.9% Elapsed: 14:11:59 temperature: no ada_p: No Discriminator_loss: 0.206825 Generator_loss: 0.114909
[INFO] 2021-01-05 01:34:03 > Step: 34000 Progress: 34.0% Elapsed: 14:14:28 temperature: no ada_p: No Discriminator_loss: 0.334474 Generator_loss: 0.180686
[INFO] 2021-01-05 01:34:03 > Start Evaluation (34000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 01:34:03 > Calculating FID Score....
[INFO] 2021-01-05 01:34:16 > Calculating Inception Score....
[INFO] 2021-01-05 01:34:19 > Calculate F_beta Score....
[INFO] 2021-01-05 01:34:35 > Calculate Accuracies....
[INFO] 2021-01-05 01:34:38 > Calculate Accuracies....
[INFO] 2021-01-05 01:34:40 > F_8 score (Step: 34000, Using valid images): 0.18038883150955606
[INFO] 2021-01-05 01:34:40 > F_1/8 score (Step: 34000, Using valid images): 0.11625355780389718
[INFO] 2021-01-05 01:34:40 > FID score (Step: 34000, Using valid moments): 271.33852989923446
[INFO] 2021-01-05 01:34:40 > Inception score (Step: 34000, 10000 generated images): 2.4544222354888916
[INFO] 2021-01-05 01:34:40 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 01:34:47 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 01:37:16 > Step: 34100 Progress: 34.1% Elapsed: 14:17:42 temperature: no ada_p: No Discriminator_loss: 0.221625 Generator_loss: 0.118438
[INFO] 2021-01-05 01:39:45 > Step: 34200 Progress: 34.2% Elapsed: 14:20:10 temperature: no ada_p: No Discriminator_loss: 0.366625 Generator_loss: 0.194522
[INFO] 2021-01-05 01:42:14 > Step: 34300 Progress: 34.3% Elapsed: 14:22:39 temperature: no ada_p: No Discriminator_loss: 0.260982 Generator_loss: 0.165322
[INFO] 2021-01-05 01:44:41 > Step: 34400 Progress: 34.4% Elapsed: 14:25:07 temperature: no ada_p: No Discriminator_loss: 1.9536 Generator_loss: -0.0959135
[INFO] 2021-01-05 01:47:10 > Step: 34500 Progress: 34.5% Elapsed: 14:27:35 temperature: no ada_p: No Discriminator_loss: 0.257084 Generator_loss: 0.200417
[INFO] 2021-01-05 01:49:39 > Step: 34600 Progress: 34.6% Elapsed: 14:30:05 temperature: no ada_p: No Discriminator_loss: 0.142954 Generator_loss: 0.123706
[INFO] 2021-01-05 01:52:08 > Step: 34700 Progress: 34.7% Elapsed: 14:32:34 temperature: no ada_p: No Discriminator_loss: 0.275537 Generator_loss: 0.0633343
[INFO] 2021-01-05 01:54:37 > Step: 34800 Progress: 34.8% Elapsed: 14:35:03 temperature: no ada_p: No Discriminator_loss: 1.28771 Generator_loss: 0.0101392
[INFO] 2021-01-05 01:57:06 > Step: 34900 Progress: 34.9% Elapsed: 14:37:32 temperature: no ada_p: No Discriminator_loss: 0.601852 Generator_loss: 0.134292
[INFO] 2021-01-05 01:59:35 > Step: 35000 Progress: 35.0% Elapsed: 14:40:01 temperature: no ada_p: No Discriminator_loss: 0.616197 Generator_loss: 0.103474
[INFO] 2021-01-05 02:02:04 > Step: 35100 Progress: 35.1% Elapsed: 14:42:30 temperature: no ada_p: No Discriminator_loss: 0.171634 Generator_loss: 0.149246
[INFO] 2021-01-05 02:04:33 > Step: 35200 Progress: 35.2% Elapsed: 14:44:59 temperature: no ada_p: No Discriminator_loss: 1.85724 Generator_loss: -0.0562694
[INFO] 2021-01-05 02:07:02 > Step: 35300 Progress: 35.3% Elapsed: 14:47:28 temperature: no ada_p: No Discriminator_loss: 1.79668 Generator_loss: -0.089919
[INFO] 2021-01-05 02:09:31 > Step: 35400 Progress: 35.4% Elapsed: 14:49:56 temperature: no ada_p: No Discriminator_loss: 1.33411 Generator_loss: 0.063757
[INFO] 2021-01-05 02:11:59 > Step: 35500 Progress: 35.5% Elapsed: 14:52:25 temperature: no ada_p: No Discriminator_loss: 0.857051 Generator_loss: 0.211794
[INFO] 2021-01-05 02:14:29 > Step: 35600 Progress: 35.6% Elapsed: 14:54:55 temperature: no ada_p: No Discriminator_loss: 0.761438 Generator_loss: -0.010663
[INFO] 2021-01-05 02:16:58 > Step: 35700 Progress: 35.7% Elapsed: 14:57:23 temperature: no ada_p: No Discriminator_loss: 0.45664 Generator_loss: 0.12075
[INFO] 2021-01-05 02:19:26 > Step: 35800 Progress: 35.8% Elapsed: 14:59:52 temperature: no ada_p: No Discriminator_loss: 0.290777 Generator_loss: 0.242979
[INFO] 2021-01-05 02:21:55 > Step: 35900 Progress: 35.9% Elapsed: 15:02:21 temperature: no ada_p: No Discriminator_loss: 0.320431 Generator_loss: 0.0490865
[INFO] 2021-01-05 02:24:24 > Step: 36000 Progress: 36.0% Elapsed: 15:04:50 temperature: no ada_p: No Discriminator_loss: 0.633533 Generator_loss: 0.122309
[INFO] 2021-01-05 02:24:24 > Start Evaluation (36000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 02:24:24 > Calculating FID Score....
[INFO] 2021-01-05 02:24:38 > Calculating Inception Score....
[INFO] 2021-01-05 02:24:41 > Calculate F_beta Score....
[INFO] 2021-01-05 02:24:56 > Calculate Accuracies....
[INFO] 2021-01-05 02:24:58 > Calculate Accuracies....
[INFO] 2021-01-05 02:25:00 > F_8 score (Step: 36000, Using valid images): 0.1915721022741151
[INFO] 2021-01-05 02:25:00 > F_1/8 score (Step: 36000, Using valid images): 0.08782698155638484
[INFO] 2021-01-05 02:25:00 > FID score (Step: 36000, Using valid moments): 299.73599807345477
[INFO] 2021-01-05 02:25:00 > Inception score (Step: 36000, 10000 generated images): 2.34897518157959
[INFO] 2021-01-05 02:25:00 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 02:25:07 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 02:27:35 > Step: 36100 Progress: 36.1% Elapsed: 15:08:01 temperature: no ada_p: No Discriminator_loss: 0.278818 Generator_loss: 0.157968
[INFO] 2021-01-05 02:30:04 > Step: 36200 Progress: 36.2% Elapsed: 15:10:30 temperature: no ada_p: No Discriminator_loss: 0.186059 Generator_loss: 0.0963851
[INFO] 2021-01-05 02:32:33 > Step: 36300 Progress: 36.3% Elapsed: 15:12:59 temperature: no ada_p: No Discriminator_loss: 0.173157 Generator_loss: 0.146066
[INFO] 2021-01-05 02:35:02 > Step: 36400 Progress: 36.4% Elapsed: 15:15:28 temperature: no ada_p: No Discriminator_loss: 0.432813 Generator_loss: 0.109307
[INFO] 2021-01-05 02:37:31 > Step: 36500 Progress: 36.5% Elapsed: 15:17:57 temperature: no ada_p: No Discriminator_loss: 0.289111 Generator_loss: 0.158353
[INFO] 2021-01-05 02:40:00 > Step: 36600 Progress: 36.6% Elapsed: 15:20:25 temperature: no ada_p: No Discriminator_loss: 0.256523 Generator_loss: 0.125277
[INFO] 2021-01-05 02:42:27 > Step: 36700 Progress: 36.7% Elapsed: 15:22:53 temperature: no ada_p: No Discriminator_loss: 0.600993 Generator_loss: 0.100798
[INFO] 2021-01-05 02:44:56 > Step: 36800 Progress: 36.8% Elapsed: 15:25:22 temperature: no ada_p: No Discriminator_loss: 1.06005 Generator_loss: 0.235546
[INFO] 2021-01-05 02:47:25 > Step: 36900 Progress: 36.9% Elapsed: 15:27:51 temperature: no ada_p: No Discriminator_loss: 0.867275 Generator_loss: 0.185466
[INFO] 2021-01-05 02:49:54 > Step: 37000 Progress: 37.0% Elapsed: 15:30:20 temperature: no ada_p: No Discriminator_loss: 1.83327 Generator_loss: 0.115956
[INFO] 2021-01-05 02:52:23 > Step: 37100 Progress: 37.1% Elapsed: 15:32:48 temperature: no ada_p: No Discriminator_loss: 1.64034 Generator_loss: -0.06538
[INFO] 2021-01-05 02:54:51 > Step: 37200 Progress: 37.2% Elapsed: 15:35:17 temperature: no ada_p: No Discriminator_loss: 1.48168 Generator_loss: -0.234673
[INFO] 2021-01-05 02:57:21 > Step: 37300 Progress: 37.3% Elapsed: 15:37:46 temperature: no ada_p: No Discriminator_loss: 0.597985 Generator_loss: 0.15803
[INFO] 2021-01-05 02:59:49 > Step: 37400 Progress: 37.4% Elapsed: 15:40:15 temperature: no ada_p: No Discriminator_loss: 0.269906 Generator_loss: 0.15793
[INFO] 2021-01-05 03:02:18 > Step: 37500 Progress: 37.5% Elapsed: 15:42:43 temperature: no ada_p: No Discriminator_loss: 0.44284 Generator_loss: 0.0888743
[INFO] 2021-01-05 03:04:46 > Step: 37600 Progress: 37.6% Elapsed: 15:45:12 temperature: no ada_p: No Discriminator_loss: 0.645745 Generator_loss: 0.11785
[INFO] 2021-01-05 03:07:15 > Step: 37700 Progress: 37.7% Elapsed: 15:47:41 temperature: no ada_p: No Discriminator_loss: 0.299442 Generator_loss: 0.104942
[INFO] 2021-01-05 03:09:44 > Step: 37800 Progress: 37.8% Elapsed: 15:50:10 temperature: no ada_p: No Discriminator_loss: 0.309322 Generator_loss: 0.147641
[INFO] 2021-01-05 03:12:13 > Step: 37900 Progress: 37.9% Elapsed: 15:52:39 temperature: no ada_p: No Discriminator_loss: 0.421487 Generator_loss: 0.120315
[INFO] 2021-01-05 03:14:42 > Step: 38000 Progress: 38.0% Elapsed: 15:55:08 temperature: no ada_p: No Discriminator_loss: 1.35505 Generator_loss: 0.10964
[INFO] 2021-01-05 03:14:42 > Start Evaluation (38000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 03:14:42 > Calculating FID Score....
[INFO] 2021-01-05 03:14:56 > Calculating Inception Score....
[INFO] 2021-01-05 03:14:59 > Calculate F_beta Score....
[INFO] 2021-01-05 03:15:14 > Calculate Accuracies....
[INFO] 2021-01-05 03:15:17 > Calculate Accuracies....
[INFO] 2021-01-05 03:15:18 > F_8 score (Step: 38000, Using valid images): 0.20840574617096375
[INFO] 2021-01-05 03:15:18 > F_1/8 score (Step: 38000, Using valid images): 0.10312635074501765
[INFO] 2021-01-05 03:15:18 > FID score (Step: 38000, Using valid moments): 334.8091265123555
[INFO] 2021-01-05 03:15:18 > Inception score (Step: 38000, 10000 generated images): 2.1569108963012695
[INFO] 2021-01-05 03:15:18 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 03:15:25 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 03:17:55 > Step: 38100 Progress: 38.1% Elapsed: 15:58:20 temperature: no ada_p: No Discriminator_loss: 1.61592 Generator_loss: 0.177559
[INFO] 2021-01-05 03:20:25 > Step: 38200 Progress: 38.2% Elapsed: 16:00:50 temperature: no ada_p: No Discriminator_loss: 0.689404 Generator_loss: 0.139908
[INFO] 2021-01-05 03:22:53 > Step: 38300 Progress: 38.3% Elapsed: 16:03:19 temperature: no ada_p: No Discriminator_loss: 0.38533 Generator_loss: 0.0220258
[INFO] 2021-01-05 03:25:22 > Step: 38400 Progress: 38.4% Elapsed: 16:05:48 temperature: no ada_p: No Discriminator_loss: 0.508103 Generator_loss: 0.113099
[INFO] 2021-01-05 03:27:51 > Step: 38500 Progress: 38.5% Elapsed: 16:08:16 temperature: no ada_p: No Discriminator_loss: 0.403554 Generator_loss: 0.229913
[INFO] 2021-01-05 03:30:20 > Step: 38600 Progress: 38.6% Elapsed: 16:10:45 temperature: no ada_p: No Discriminator_loss: 0.346414 Generator_loss: 0.116444
[INFO] 2021-01-05 03:32:48 > Step: 38700 Progress: 38.7% Elapsed: 16:13:13 temperature: no ada_p: No Discriminator_loss: 0.813177 Generator_loss: -0.0126857
[INFO] 2021-01-05 03:35:17 > Step: 38800 Progress: 38.8% Elapsed: 16:15:42 temperature: no ada_p: No Discriminator_loss: 0.144349 Generator_loss: 0.1561
[INFO] 2021-01-05 03:37:47 > Step: 38900 Progress: 38.9% Elapsed: 16:18:13 temperature: no ada_p: No Discriminator_loss: 0.377413 Generator_loss: 0.0839555
[INFO] 2021-01-05 03:40:15 > Step: 39000 Progress: 39.0% Elapsed: 16:20:41 temperature: no ada_p: No Discriminator_loss: 0.293141 Generator_loss: 0.258007
[INFO] 2021-01-05 03:42:44 > Step: 39100 Progress: 39.1% Elapsed: 16:23:10 temperature: no ada_p: No Discriminator_loss: 0.698571 Generator_loss: -0.0140295
[INFO] 2021-01-05 03:45:14 > Step: 39200 Progress: 39.2% Elapsed: 16:25:40 temperature: no ada_p: No Discriminator_loss: 0.292389 Generator_loss: 0.151434
[INFO] 2021-01-05 03:47:43 > Step: 39300 Progress: 39.3% Elapsed: 16:28:08 temperature: no ada_p: No Discriminator_loss: 0.607027 Generator_loss: 0.196801
[INFO] 2021-01-05 03:50:11 > Step: 39400 Progress: 39.4% Elapsed: 16:30:37 temperature: no ada_p: No Discriminator_loss: 0.325686 Generator_loss: 0.0789462
[INFO] 2021-01-05 03:52:40 > Step: 39500 Progress: 39.5% Elapsed: 16:33:06 temperature: no ada_p: No Discriminator_loss: 0.700229 Generator_loss: 0.0254618
[INFO] 2021-01-05 03:55:10 > Step: 39600 Progress: 39.6% Elapsed: 16:35:36 temperature: no ada_p: No Discriminator_loss: 1.1114 Generator_loss: -0.0809736
[INFO] 2021-01-05 03:57:40 > Step: 39700 Progress: 39.7% Elapsed: 16:38:05 temperature: no ada_p: No Discriminator_loss: 0.551953 Generator_loss: 0.204055
[INFO] 2021-01-05 04:00:10 > Step: 39800 Progress: 39.8% Elapsed: 16:40:35 temperature: no ada_p: No Discriminator_loss: 0.456053 Generator_loss: 0.0325462
[INFO] 2021-01-05 04:02:39 > Step: 39900 Progress: 39.9% Elapsed: 16:43:04 temperature: no ada_p: No Discriminator_loss: 0.367648 Generator_loss: 0.181454
[INFO] 2021-01-05 04:05:08 > Step: 40000 Progress: 40.0% Elapsed: 16:45:34 temperature: no ada_p: No Discriminator_loss: 0.432262 Generator_loss: 0.191956
[INFO] 2021-01-05 04:05:08 > Start Evaluation (40000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 04:05:08 > Calculating FID Score....
[INFO] 2021-01-05 04:05:22 > Calculating Inception Score....
[INFO] 2021-01-05 04:05:25 > Calculate F_beta Score....
[INFO] 2021-01-05 04:05:40 > Calculate Accuracies....
[INFO] 2021-01-05 04:05:43 > Calculate Accuracies....
[INFO] 2021-01-05 04:05:45 > F_8 score (Step: 40000, Using valid images): 0.1918711751581756
[INFO] 2021-01-05 04:05:45 > F_1/8 score (Step: 40000, Using valid images): 0.08436601592416139
[INFO] 2021-01-05 04:05:45 > FID score (Step: 40000, Using valid moments): 358.0425147337621
[INFO] 2021-01-05 04:05:45 > Inception score (Step: 40000, 10000 generated images): 2.1209635734558105
[INFO] 2021-01-05 04:05:45 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 04:05:53 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 04:08:23 > Step: 40100 Progress: 40.1% Elapsed: 16:48:49 temperature: no ada_p: No Discriminator_loss: 0.658903 Generator_loss: 0.088965
[INFO] 2021-01-05 04:10:52 > Step: 40200 Progress: 40.2% Elapsed: 16:51:17 temperature: no ada_p: No Discriminator_loss: 0.971256 Generator_loss: 0.165899
[INFO] 2021-01-05 04:13:21 > Step: 40300 Progress: 40.3% Elapsed: 16:53:46 temperature: no ada_p: No Discriminator_loss: 0.322408 Generator_loss: 0.139126
[INFO] 2021-01-05 04:15:50 > Step: 40400 Progress: 40.4% Elapsed: 16:56:16 temperature: no ada_p: No Discriminator_loss: 0.767897 Generator_loss: 0.169695
[INFO] 2021-01-05 04:18:19 > Step: 40500 Progress: 40.5% Elapsed: 16:58:45 temperature: no ada_p: No Discriminator_loss: 0.529416 Generator_loss: 0.140219
[INFO] 2021-01-05 04:20:48 > Step: 40600 Progress: 40.6% Elapsed: 17:01:14 temperature: no ada_p: No Discriminator_loss: 0.477765 Generator_loss: 0.0570906
[INFO] 2021-01-05 04:23:18 > Step: 40700 Progress: 40.7% Elapsed: 17:03:44 temperature: no ada_p: No Discriminator_loss: 0.538722 Generator_loss: 0.113123
[INFO] 2021-01-05 04:25:47 > Step: 40800 Progress: 40.8% Elapsed: 17:06:13 temperature: no ada_p: No Discriminator_loss: 0.648336 Generator_loss: 0.252645
[INFO] 2021-01-05 04:28:16 > Step: 40900 Progress: 40.9% Elapsed: 17:08:42 temperature: no ada_p: No Discriminator_loss: 0.278468 Generator_loss: 0.137642
[INFO] 2021-01-05 04:30:45 > Step: 41000 Progress: 41.0% Elapsed: 17:11:11 temperature: no ada_p: No Discriminator_loss: 0.14147 Generator_loss: 0.152923
[INFO] 2021-01-05 04:33:15 > Step: 41100 Progress: 41.1% Elapsed: 17:13:40 temperature: no ada_p: No Discriminator_loss: 0.620035 Generator_loss: 0.0328146
[INFO] 2021-01-05 04:35:44 > Step: 41200 Progress: 41.2% Elapsed: 17:16:09 temperature: no ada_p: No Discriminator_loss: 0.91375 Generator_loss: 0.0279992
[INFO] 2021-01-05 04:38:13 > Step: 41300 Progress: 41.3% Elapsed: 17:18:39 temperature: no ada_p: No Discriminator_loss: 0.256224 Generator_loss: 0.16135
[INFO] 2021-01-05 04:40:42 > Step: 41400 Progress: 41.4% Elapsed: 17:21:08 temperature: no ada_p: No Discriminator_loss: 0.121322 Generator_loss: 0.183664
[INFO] 2021-01-05 04:43:11 > Step: 41500 Progress: 41.5% Elapsed: 17:23:37 temperature: no ada_p: No Discriminator_loss: 0.269928 Generator_loss: 0.108999
[INFO] 2021-01-05 04:45:40 > Step: 41600 Progress: 41.6% Elapsed: 17:26:06 temperature: no ada_p: No Discriminator_loss: 0.372643 Generator_loss: 1.74642e-05
[INFO] 2021-01-05 04:48:09 > Step: 41700 Progress: 41.7% Elapsed: 17:28:35 temperature: no ada_p: No Discriminator_loss: 0.218601 Generator_loss: 0.13083
[INFO] 2021-01-05 04:50:37 > Step: 41800 Progress: 41.8% Elapsed: 17:31:03 temperature: no ada_p: No Discriminator_loss: 0.351116 Generator_loss: 0.171793
[INFO] 2021-01-05 04:53:06 > Step: 41900 Progress: 41.9% Elapsed: 17:33:31 temperature: no ada_p: No Discriminator_loss: 0.166384 Generator_loss: 0.113843
[INFO] 2021-01-05 04:55:34 > Step: 42000 Progress: 42.0% Elapsed: 17:36:00 temperature: no ada_p: No Discriminator_loss: 0.328895 Generator_loss: 0.13077
[INFO] 2021-01-05 04:55:34 > Start Evaluation (42000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 04:55:34 > Calculating FID Score....
[INFO] 2021-01-05 04:55:48 > Calculating Inception Score....
[INFO] 2021-01-05 04:55:51 > Calculate F_beta Score....
[INFO] 2021-01-05 04:56:07 > Calculate Accuracies....
[INFO] 2021-01-05 04:56:10 > Calculate Accuracies....
[INFO] 2021-01-05 04:56:11 > F_8 score (Step: 42000, Using valid images): 0.20942543527103755
[INFO] 2021-01-05 04:56:11 > F_1/8 score (Step: 42000, Using valid images): 0.07637238067496464
[INFO] 2021-01-05 04:56:11 > FID score (Step: 42000, Using valid moments): 360.47966460012765
[INFO] 2021-01-05 04:56:11 > Inception score (Step: 42000, 10000 generated images): 2.130039691925049
[INFO] 2021-01-05 04:56:11 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 04:56:18 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 04:58:48 > Step: 42100 Progress: 42.1% Elapsed: 17:39:14 temperature: no ada_p: No Discriminator_loss: 0.122713 Generator_loss: 0.145111
[INFO] 2021-01-05 05:01:17 > Step: 42200 Progress: 42.2% Elapsed: 17:41:43 temperature: no ada_p: No Discriminator_loss: 0.241218 Generator_loss: 0.038426
[INFO] 2021-01-05 05:03:46 > Step: 42300 Progress: 42.3% Elapsed: 17:44:11 temperature: no ada_p: No Discriminator_loss: 0.369175 Generator_loss: 0.15637
[INFO] 2021-01-05 05:06:15 > Step: 42400 Progress: 42.4% Elapsed: 17:46:41 temperature: no ada_p: No Discriminator_loss: 0.250296 Generator_loss: 0.133397
[INFO] 2021-01-05 05:08:44 > Step: 42500 Progress: 42.5% Elapsed: 17:49:09 temperature: no ada_p: No Discriminator_loss: 0.604211 Generator_loss: 0.0651736
[INFO] 2021-01-05 05:11:12 > Step: 42600 Progress: 42.6% Elapsed: 17:51:38 temperature: no ada_p: No Discriminator_loss: 0.404769 Generator_loss: 0.189719
[INFO] 2021-01-05 05:13:41 > Step: 42700 Progress: 42.7% Elapsed: 17:54:07 temperature: no ada_p: No Discriminator_loss: 0.216136 Generator_loss: 0.137157
[INFO] 2021-01-05 05:16:09 > Step: 42800 Progress: 42.8% Elapsed: 17:56:35 temperature: no ada_p: No Discriminator_loss: 0.142062 Generator_loss: 0.125505
[INFO] 2021-01-05 05:18:38 > Step: 42900 Progress: 42.9% Elapsed: 17:59:03 temperature: no ada_p: No Discriminator_loss: 0.328549 Generator_loss: 0.155475
[INFO] 2021-01-05 05:21:07 > Step: 43000 Progress: 43.0% Elapsed: 18:01:33 temperature: no ada_p: No Discriminator_loss: 0.175318 Generator_loss: 0.127506
[INFO] 2021-01-05 05:23:37 > Step: 43100 Progress: 43.1% Elapsed: 18:04:02 temperature: no ada_p: No Discriminator_loss: 0.960589 Generator_loss: 0.0151165
[INFO] 2021-01-05 05:26:06 > Step: 43200 Progress: 43.2% Elapsed: 18:06:31 temperature: no ada_p: No Discriminator_loss: 0.415104 Generator_loss: 0.0784563
[INFO] 2021-01-05 05:28:35 > Step: 43300 Progress: 43.3% Elapsed: 18:09:00 temperature: no ada_p: No Discriminator_loss: 1.34353 Generator_loss: -0.159955
[INFO] 2021-01-05 05:31:03 > Step: 43400 Progress: 43.4% Elapsed: 18:11:29 temperature: no ada_p: No Discriminator_loss: 0.577267 Generator_loss: 0.0900677
[INFO] 2021-01-05 05:33:33 > Step: 43500 Progress: 43.5% Elapsed: 18:13:58 temperature: no ada_p: No Discriminator_loss: 0.421343 Generator_loss: 0.0839195
[INFO] 2021-01-05 05:36:02 > Step: 43600 Progress: 43.6% Elapsed: 18:16:27 temperature: no ada_p: No Discriminator_loss: 0.294127 Generator_loss: 0.128944
[INFO] 2021-01-05 05:38:31 > Step: 43700 Progress: 43.7% Elapsed: 18:18:57 temperature: no ada_p: No Discriminator_loss: 0.690423 Generator_loss: 0.0489554
[INFO] 2021-01-05 05:41:00 > Step: 43800 Progress: 43.8% Elapsed: 18:21:26 temperature: no ada_p: No Discriminator_loss: 0.228793 Generator_loss: 0.0874791
[INFO] 2021-01-05 05:43:29 > Step: 43900 Progress: 43.9% Elapsed: 18:23:54 temperature: no ada_p: No Discriminator_loss: 0.0701562 Generator_loss: 0.124193
[INFO] 2021-01-05 05:45:57 > Step: 44000 Progress: 44.0% Elapsed: 18:26:23 temperature: no ada_p: No Discriminator_loss: 0.268443 Generator_loss: -0.00458896
[INFO] 2021-01-05 05:45:57 > Start Evaluation (44000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 05:45:57 > Calculating FID Score....
[INFO] 2021-01-05 05:46:11 > Calculating Inception Score....
[INFO] 2021-01-05 05:46:14 > Calculate F_beta Score....
[INFO] 2021-01-05 05:46:30 > Calculate Accuracies....
[INFO] 2021-01-05 05:46:33 > Calculate Accuracies....
[INFO] 2021-01-05 05:46:34 > F_8 score (Step: 44000, Using valid images): 0.23260836266019927
[INFO] 2021-01-05 05:46:34 > F_1/8 score (Step: 44000, Using valid images): 0.09023944524387614
[INFO] 2021-01-05 05:46:34 > FID score (Step: 44000, Using valid moments): 355.3108260796863
[INFO] 2021-01-05 05:46:34 > Inception score (Step: 44000, 10000 generated images): 2.1437747478485107
[INFO] 2021-01-05 05:46:34 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 05:46:41 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 05:49:11 > Step: 44100 Progress: 44.1% Elapsed: 18:29:37 temperature: no ada_p: No Discriminator_loss: 0.175221 Generator_loss: 0.124359
[INFO] 2021-01-05 05:51:40 > Step: 44200 Progress: 44.2% Elapsed: 18:32:05 temperature: no ada_p: No Discriminator_loss: 0.179371 Generator_loss: 0.207281
[INFO] 2021-01-05 05:54:09 > Step: 44300 Progress: 44.3% Elapsed: 18:34:34 temperature: no ada_p: No Discriminator_loss: 0.261894 Generator_loss: 0.0487006
[INFO] 2021-01-05 05:56:37 > Step: 44400 Progress: 44.4% Elapsed: 18:37:03 temperature: no ada_p: No Discriminator_loss: 0.844858 Generator_loss: 0.12641
[INFO] 2021-01-05 05:59:06 > Step: 44500 Progress: 44.5% Elapsed: 18:39:32 temperature: no ada_p: No Discriminator_loss: 0.346728 Generator_loss: 0.0865226
[INFO] 2021-01-05 06:01:34 > Step: 44600 Progress: 44.6% Elapsed: 18:42:00 temperature: no ada_p: No Discriminator_loss: 0.391471 Generator_loss: 0.10225
[INFO] 2021-01-05 06:04:04 > Step: 44700 Progress: 44.7% Elapsed: 18:44:29 temperature: no ada_p: No Discriminator_loss: 0.608721 Generator_loss: 0.0216226
[INFO] 2021-01-05 06:06:33 > Step: 44800 Progress: 44.8% Elapsed: 18:46:59 temperature: no ada_p: No Discriminator_loss: 0.236798 Generator_loss: 0.0851117
[INFO] 2021-01-05 06:09:02 > Step: 44900 Progress: 44.9% Elapsed: 18:49:28 temperature: no ada_p: No Discriminator_loss: 0.12687 Generator_loss: 0.153024
[INFO] 2021-01-05 06:11:30 > Step: 45000 Progress: 45.0% Elapsed: 18:51:56 temperature: no ada_p: No Discriminator_loss: 0.125097 Generator_loss: 0.0886043
[INFO] 2021-01-05 06:13:59 > Step: 45100 Progress: 45.1% Elapsed: 18:54:25 temperature: no ada_p: No Discriminator_loss: 0.265959 Generator_loss: 0.181935
[INFO] 2021-01-05 06:16:27 > Step: 45200 Progress: 45.2% Elapsed: 18:56:53 temperature: no ada_p: No Discriminator_loss: 0.286827 Generator_loss: 0.121798
[INFO] 2021-01-05 06:18:58 > Step: 45300 Progress: 45.3% Elapsed: 18:59:24 temperature: no ada_p: No Discriminator_loss: 0.339354 Generator_loss: 0.0574375
[INFO] 2021-01-05 06:21:27 > Step: 45400 Progress: 45.4% Elapsed: 19:01:53 temperature: no ada_p: No Discriminator_loss: 0.241114 Generator_loss: 0.0988241
[INFO] 2021-01-05 06:23:57 > Step: 45500 Progress: 45.5% Elapsed: 19:04:22 temperature: no ada_p: No Discriminator_loss: 1.82028 Generator_loss: 0.0265586
[INFO] 2021-01-05 06:26:26 > Step: 45600 Progress: 45.6% Elapsed: 19:06:52 temperature: no ada_p: No Discriminator_loss: 0.460951 Generator_loss: 0.0824909
[INFO] 2021-01-05 06:28:55 > Step: 45700 Progress: 45.7% Elapsed: 19:09:21 temperature: no ada_p: No Discriminator_loss: 0.886988 Generator_loss: 0.154873
[INFO] 2021-01-05 06:31:24 > Step: 45800 Progress: 45.8% Elapsed: 19:11:49 temperature: no ada_p: No Discriminator_loss: 0.371657 Generator_loss: 0.196945
[INFO] 2021-01-05 06:33:52 > Step: 45900 Progress: 45.9% Elapsed: 19:14:18 temperature: no ada_p: No Discriminator_loss: 0.353676 Generator_loss: 0.179524
[INFO] 2021-01-05 06:36:20 > Step: 46000 Progress: 46.0% Elapsed: 19:16:46 temperature: no ada_p: No Discriminator_loss: 0.436696 Generator_loss: 0.10037
[INFO] 2021-01-05 06:36:20 > Start Evaluation (46000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 06:36:20 > Calculating FID Score....
[INFO] 2021-01-05 06:36:34 > Calculating Inception Score....
[INFO] 2021-01-05 06:36:37 > Calculate F_beta Score....
[INFO] 2021-01-05 06:36:51 > Calculate Accuracies....
[INFO] 2021-01-05 06:36:54 > Calculate Accuracies....
[INFO] 2021-01-05 06:36:56 > F_8 score (Step: 46000, Using valid images): 0.25486568511359164
[INFO] 2021-01-05 06:36:56 > F_1/8 score (Step: 46000, Using valid images): 0.10183056106349456
[INFO] 2021-01-05 06:36:56 > FID score (Step: 46000, Using valid moments): 347.5875620560953
[INFO] 2021-01-05 06:36:56 > Inception score (Step: 46000, 10000 generated images): 2.1684913635253906
[INFO] 2021-01-05 06:36:56 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 06:37:03 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 06:39:33 > Step: 46100 Progress: 46.1% Elapsed: 19:19:58 temperature: no ada_p: No Discriminator_loss: 0.391276 Generator_loss: 0.189718
[INFO] 2021-01-05 06:42:01 > Step: 46200 Progress: 46.2% Elapsed: 19:22:27 temperature: no ada_p: No Discriminator_loss: 0.263118 Generator_loss: 0.137885
[INFO] 2021-01-05 06:44:30 > Step: 46300 Progress: 46.3% Elapsed: 19:24:56 temperature: no ada_p: No Discriminator_loss: 0.45289 Generator_loss: 0.0255225
[INFO] 2021-01-05 06:46:59 > Step: 46400 Progress: 46.4% Elapsed: 19:27:25 temperature: no ada_p: No Discriminator_loss: 0.725475 Generator_loss: 0.207082
[INFO] 2021-01-05 06:49:28 > Step: 46500 Progress: 46.5% Elapsed: 19:29:54 temperature: no ada_p: No Discriminator_loss: 0.395433 Generator_loss: 0.160396
[INFO] 2021-01-05 06:51:57 > Step: 46600 Progress: 46.6% Elapsed: 19:32:22 temperature: no ada_p: No Discriminator_loss: 0.239727 Generator_loss: 0.233173
[INFO] 2021-01-05 06:54:26 > Step: 46700 Progress: 46.7% Elapsed: 19:34:51 temperature: no ada_p: No Discriminator_loss: 0.50982 Generator_loss: 0.00481904
[INFO] 2021-01-05 06:56:55 > Step: 46800 Progress: 46.8% Elapsed: 19:37:21 temperature: no ada_p: No Discriminator_loss: 0.218027 Generator_loss: 0.12475
[INFO] 2021-01-05 06:59:24 > Step: 46900 Progress: 46.9% Elapsed: 19:39:50 temperature: no ada_p: No Discriminator_loss: 0.243253 Generator_loss: 0.121565
[INFO] 2021-01-05 07:01:54 > Step: 47000 Progress: 47.0% Elapsed: 19:42:19 temperature: no ada_p: No Discriminator_loss: 0.252984 Generator_loss: 0.0877388
[INFO] 2021-01-05 07:04:22 > Step: 47100 Progress: 47.1% Elapsed: 19:44:48 temperature: no ada_p: No Discriminator_loss: 0.277526 Generator_loss: 0.0946565
[INFO] 2021-01-05 07:06:50 > Step: 47200 Progress: 47.2% Elapsed: 19:47:16 temperature: no ada_p: No Discriminator_loss: 0.261166 Generator_loss: 0.0674443
[INFO] 2021-01-05 07:09:19 > Step: 47300 Progress: 47.3% Elapsed: 19:49:45 temperature: no ada_p: No Discriminator_loss: 0.198485 Generator_loss: 0.167413
[INFO] 2021-01-05 07:11:49 > Step: 47400 Progress: 47.4% Elapsed: 19:52:14 temperature: no ada_p: No Discriminator_loss: 0.293836 Generator_loss: 0.0142555
[INFO] 2021-01-05 07:14:18 > Step: 47500 Progress: 47.5% Elapsed: 19:54:43 temperature: no ada_p: No Discriminator_loss: 0.348039 Generator_loss: 0.133688
[INFO] 2021-01-05 07:16:47 > Step: 47600 Progress: 47.6% Elapsed: 19:57:12 temperature: no ada_p: No Discriminator_loss: 0.390324 Generator_loss: 0.0485486
[INFO] 2021-01-05 07:19:15 > Step: 47700 Progress: 47.7% Elapsed: 19:59:41 temperature: no ada_p: No Discriminator_loss: 0.801088 Generator_loss: -0.104496
[INFO] 2021-01-05 07:21:45 > Step: 47800 Progress: 47.8% Elapsed: 20:02:11 temperature: no ada_p: No Discriminator_loss: 0.609547 Generator_loss: 0.164143
[INFO] 2021-01-05 07:24:14 > Step: 47900 Progress: 47.9% Elapsed: 20:04:40 temperature: no ada_p: No Discriminator_loss: 1.01239 Generator_loss: 0.15681
[INFO] 2021-01-05 07:26:43 > Step: 48000 Progress: 48.0% Elapsed: 20:07:09 temperature: no ada_p: No Discriminator_loss: 0.827654 Generator_loss: 0.242071
[INFO] 2021-01-05 07:26:43 > Start Evaluation (48000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 07:26:43 > Calculating FID Score....
[INFO] 2021-01-05 07:26:57 > Calculating Inception Score....
[INFO] 2021-01-05 07:27:00 > Calculate F_beta Score....
[INFO] 2021-01-05 07:27:15 > Calculate Accuracies....
[INFO] 2021-01-05 07:27:18 > Calculate Accuracies....
[INFO] 2021-01-05 07:27:19 > F_8 score (Step: 48000, Using valid images): 0.2737213583134985
[INFO] 2021-01-05 07:27:19 > F_1/8 score (Step: 48000, Using valid images): 0.11303631943882318
[INFO] 2021-01-05 07:27:19 > FID score (Step: 48000, Using valid moments): 344.7972930957093
[INFO] 2021-01-05 07:27:19 > Inception score (Step: 48000, 10000 generated images): 2.229227066040039
[INFO] 2021-01-05 07:27:19 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 07:27:26 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 07:29:56 > Step: 48100 Progress: 48.1% Elapsed: 20:10:22 temperature: no ada_p: No Discriminator_loss: 0.70858 Generator_loss: -0.0233971
[INFO] 2021-01-05 07:32:25 > Step: 48200 Progress: 48.2% Elapsed: 20:12:51 temperature: no ada_p: No Discriminator_loss: 0.324562 Generator_loss: 0.0938606
[INFO] 2021-01-05 07:34:55 > Step: 48300 Progress: 48.3% Elapsed: 20:15:20 temperature: no ada_p: No Discriminator_loss: 0.331187 Generator_loss: 0.137631
[INFO] 2021-01-05 07:37:24 > Step: 48400 Progress: 48.4% Elapsed: 20:17:50 temperature: no ada_p: No Discriminator_loss: 0.334851 Generator_loss: 0.0817189
[INFO] 2021-01-05 07:39:53 > Step: 48500 Progress: 48.5% Elapsed: 20:20:19 temperature: no ada_p: No Discriminator_loss: 1.64053 Generator_loss: -0.112141
[INFO] 2021-01-05 07:42:23 > Step: 48600 Progress: 48.6% Elapsed: 20:22:49 temperature: no ada_p: No Discriminator_loss: 0.783185 Generator_loss: 0.00553578
[INFO] 2021-01-05 07:44:52 > Step: 48700 Progress: 48.7% Elapsed: 20:25:18 temperature: no ada_p: No Discriminator_loss: 0.498908 Generator_loss: 0.0993684
[INFO] 2021-01-05 07:47:20 > Step: 48800 Progress: 48.8% Elapsed: 20:27:46 temperature: no ada_p: No Discriminator_loss: 0.463556 Generator_loss: 0.0564574
[INFO] 2021-01-05 07:49:49 > Step: 48900 Progress: 48.9% Elapsed: 20:30:15 temperature: no ada_p: No Discriminator_loss: 0.400759 Generator_loss: 0.116575
[INFO] 2021-01-05 07:52:19 > Step: 49000 Progress: 49.0% Elapsed: 20:32:44 temperature: no ada_p: No Discriminator_loss: 0.327532 Generator_loss: 0.0874958
[INFO] 2021-01-05 07:54:48 > Step: 49100 Progress: 49.1% Elapsed: 20:35:13 temperature: no ada_p: No Discriminator_loss: 0.358337 Generator_loss: 0.0120072
[INFO] 2021-01-05 07:57:17 > Step: 49200 Progress: 49.2% Elapsed: 20:37:43 temperature: no ada_p: No Discriminator_loss: 0.293851 Generator_loss: 0.152816
[INFO] 2021-01-05 07:59:46 > Step: 49300 Progress: 49.3% Elapsed: 20:40:12 temperature: no ada_p: No Discriminator_loss: 0.410663 Generator_loss: 0.0784506
[INFO] 2021-01-05 08:02:16 > Step: 49400 Progress: 49.4% Elapsed: 20:42:41 temperature: no ada_p: No Discriminator_loss: 0.374062 Generator_loss: 0.0261756
[INFO] 2021-01-05 08:04:44 > Step: 49500 Progress: 49.5% Elapsed: 20:45:10 temperature: no ada_p: No Discriminator_loss: 0.297311 Generator_loss: 0.096085
[INFO] 2021-01-05 08:07:13 > Step: 49600 Progress: 49.6% Elapsed: 20:47:39 temperature: no ada_p: No Discriminator_loss: 0.636099 Generator_loss: 0.106945
[INFO] 2021-01-05 08:09:43 > Step: 49700 Progress: 49.7% Elapsed: 20:50:08 temperature: no ada_p: No Discriminator_loss: 0.791218 Generator_loss: 0.104272
[INFO] 2021-01-05 08:12:11 > Step: 49800 Progress: 49.8% Elapsed: 20:52:37 temperature: no ada_p: No Discriminator_loss: 0.364729 Generator_loss: 0.140635
[INFO] 2021-01-05 08:14:40 > Step: 49900 Progress: 49.9% Elapsed: 20:55:06 temperature: no ada_p: No Discriminator_loss: 0.338053 Generator_loss: 0.0414571
[INFO] 2021-01-05 08:17:09 > Step: 50000 Progress: 50.0% Elapsed: 20:57:35 temperature: no ada_p: No Discriminator_loss: 0.345339 Generator_loss: 0.0917647
[INFO] 2021-01-05 08:17:09 > Start Evaluation (50000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 08:17:09 > Calculating FID Score....
[INFO] 2021-01-05 08:17:23 > Calculating Inception Score....
[INFO] 2021-01-05 08:17:26 > Calculate F_beta Score....
[INFO] 2021-01-05 08:17:41 > Calculate Accuracies....
[INFO] 2021-01-05 08:17:44 > Calculate Accuracies....
[INFO] 2021-01-05 08:17:46 > F_8 score (Step: 50000, Using valid images): 0.2279818848990297
[INFO] 2021-01-05 08:17:46 > F_1/8 score (Step: 50000, Using valid images): 0.12299100007467088
[INFO] 2021-01-05 08:17:46 > FID score (Step: 50000, Using valid moments): 344.0652900173145
[INFO] 2021-01-05 08:17:46 > Inception score (Step: 50000, 10000 generated images): 2.2511703968048096
[INFO] 2021-01-05 08:17:46 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 08:17:53 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 08:20:22 > Step: 50100 Progress: 50.1% Elapsed: 21:00:48 temperature: no ada_p: No Discriminator_loss: 0.567754 Generator_loss: -0.0669419
[INFO] 2021-01-05 08:22:52 > Step: 50200 Progress: 50.2% Elapsed: 21:03:17 temperature: no ada_p: No Discriminator_loss: 0.425499 Generator_loss: 0.0103627
[INFO] 2021-01-05 08:25:21 > Step: 50300 Progress: 50.3% Elapsed: 21:05:47 temperature: no ada_p: No Discriminator_loss: 0.407056 Generator_loss: 0.0295267
[INFO] 2021-01-05 08:27:50 > Step: 50400 Progress: 50.4% Elapsed: 21:08:16 temperature: no ada_p: No Discriminator_loss: 0.389714 Generator_loss: 0.109751
[INFO] 2021-01-05 08:30:20 > Step: 50500 Progress: 50.5% Elapsed: 21:10:46 temperature: no ada_p: No Discriminator_loss: 0.580463 Generator_loss: 0.0783659
[INFO] 2021-01-05 08:32:49 > Step: 50600 Progress: 50.6% Elapsed: 21:13:14 temperature: no ada_p: No Discriminator_loss: 0.339809 Generator_loss: 0.0740687
[INFO] 2021-01-05 08:35:18 > Step: 50700 Progress: 50.7% Elapsed: 21:15:44 temperature: no ada_p: No Discriminator_loss: 1.64078 Generator_loss: -0.00402027
[INFO] 2021-01-05 08:37:47 > Step: 50800 Progress: 50.8% Elapsed: 21:18:12 temperature: no ada_p: No Discriminator_loss: 1.32461 Generator_loss: -0.11226
[INFO] 2021-01-05 08:40:15 > Step: 50900 Progress: 50.9% Elapsed: 21:20:41 temperature: no ada_p: No Discriminator_loss: 0.781702 Generator_loss: 0.077861
[INFO] 2021-01-05 08:42:44 > Step: 51000 Progress: 51.0% Elapsed: 21:23:10 temperature: no ada_p: No Discriminator_loss: 0.883944 Generator_loss: 0.0546519
[INFO] 2021-01-05 08:45:14 > Step: 51100 Progress: 51.1% Elapsed: 21:25:39 temperature: no ada_p: No Discriminator_loss: 0.445754 Generator_loss: 0.00370961
[INFO] 2021-01-05 08:47:42 > Step: 51200 Progress: 51.2% Elapsed: 21:28:08 temperature: no ada_p: No Discriminator_loss: 0.591884 Generator_loss: -0.0279817
[INFO] 2021-01-05 08:50:11 > Step: 51300 Progress: 51.3% Elapsed: 21:30:37 temperature: no ada_p: No Discriminator_loss: 0.491193 Generator_loss: 0.0966718
[INFO] 2021-01-05 08:52:40 > Step: 51400 Progress: 51.4% Elapsed: 21:33:05 temperature: no ada_p: No Discriminator_loss: 0.395421 Generator_loss: 0.163323
[INFO] 2021-01-05 08:55:08 > Step: 51500 Progress: 51.5% Elapsed: 21:35:34 temperature: no ada_p: No Discriminator_loss: 0.592563 Generator_loss: -0.135472
[INFO] 2021-01-05 08:57:38 > Step: 51600 Progress: 51.6% Elapsed: 21:38:03 temperature: no ada_p: No Discriminator_loss: 0.353863 Generator_loss: 0.00268996
[INFO] 2021-01-05 09:00:06 > Step: 51700 Progress: 51.7% Elapsed: 21:40:32 temperature: no ada_p: No Discriminator_loss: 0.117506 Generator_loss: 0.120992
[INFO] 2021-01-05 09:02:37 > Step: 51800 Progress: 51.8% Elapsed: 21:43:03 temperature: no ada_p: No Discriminator_loss: 0.175343 Generator_loss: 0.130394
[INFO] 2021-01-05 09:05:06 > Step: 51900 Progress: 51.9% Elapsed: 21:45:31 temperature: no ada_p: No Discriminator_loss: 0.931365 Generator_loss: -0.0180775
[INFO] 2021-01-05 09:07:34 > Step: 52000 Progress: 52.0% Elapsed: 21:48:00 temperature: no ada_p: No Discriminator_loss: 1.66045 Generator_loss: -0.0294881
[INFO] 2021-01-05 09:07:34 > Start Evaluation (52000 Step): ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 09:07:34 > Calculating FID Score....
[INFO] 2021-01-05 09:07:48 > Calculating Inception Score....
[INFO] 2021-01-05 09:07:51 > Calculate F_beta Score....
[INFO] 2021-01-05 09:08:05 > Calculate Accuracies....
[INFO] 2021-01-05 09:08:08 > Calculate Accuracies....
[INFO] 2021-01-05 09:08:10 > F_8 score (Step: 52000, Using valid images): 0.30112689678479126
[INFO] 2021-01-05 09:08:10 > F_1/8 score (Step: 52000, Using valid images): 0.14626182938076127
[INFO] 2021-01-05 09:08:10 > FID score (Step: 52000, Using valid moments): 342.15953684173417
[INFO] 2021-01-05 09:08:10 > Inception score (Step: 52000, 10000 generated images): 2.2353413105010986
[INFO] 2021-01-05 09:08:10 > Best FID score (Step: 4000, Using valid moments): 91.32580020887724
[INFO] 2021-01-05 09:08:16 > Save model to checkpoints/ICRGAN(P)-train-2021_01_04_11_19_15
[INFO] 2021-01-05 09:10:45 > Step: 52100 Progress: 52.1% Elapsed: 21:51:10 temperature: no ada_p: No Discriminator_loss: 1.1634 Generator_loss: -0.0152116