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ICRGAN(C)-train-2021_01_03_12_11_56.log
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ICRGAN(C)-train-2021_01_03_12_11_56.log
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[INFO] 2021-01-03 12:11:56 > Run name : ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 12:11:56 > {'config_path': './src/configs/TINY_ILSVRC2012/ICRGAN(C).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] 2021-01-03 12:11:56 > {'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': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 768, 'nonlinear_embed': False, 'normalize_embed': True, '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': 1.0, 'margin': 0.0, 'tempering_type': 'constant', 'tempering_step': 'N/A', 'start_temperature': 1.0, 'end_temperature': 1.0, 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': True, 'real_lambda': 10.0, 'fake_lambda': 10.0, 'zcr': True, 'gen_lambda': 0.5, 'dis_lambda': 20.0, 'sigma_noise': 0.05}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 20000}}}
[INFO] 2021-01-03 12:11:56 > Load train datasets...
[INFO] 2021-01-03 12:12:06 > Train dataset size : 100000
[INFO] 2021-01-03 12:12:06 > Load valid datasets...
[INFO] 2021-01-03 12:12:08 > Eval dataset size : 10000
[INFO] 2021-01-03 12:12:08 > Build model...
[INFO] 2021-01-03 12:12:08 > Modules are located on models.big_resnet.
[INFO] 2021-01-03 12:12:15 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-03 12:12:15 > Number of parameters: 17335204
[INFO] 2021-01-03 12:12:15 > 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] 2021-01-03 12:12:15 > Number of parameters: 31678130
[INFO] 2021-01-03 12:12:15 > 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)
(linear2): Linear(in_features=1280, out_features=768, bias=True)
(embedding): Embedding(200, 768)
)
[INFO] 2021-01-03 12:12:20 > Start training....
[INFO] 2021-01-03 12:15:25 > Step: 100 Progress: 0.1% Elapsed: 0:03:05 temperature: 1.0 ada_p: No Discriminator_loss: 7.00629 Generator_loss: 5.54615
[INFO] 2021-01-03 12:18:15 > Step: 200 Progress: 0.2% Elapsed: 0:05:54 temperature: 1.0 ada_p: No Discriminator_loss: 7.04496 Generator_loss: 4.98355
[INFO] 2021-01-03 12:21:04 > Step: 300 Progress: 0.3% Elapsed: 0:08:44 temperature: 1.0 ada_p: No Discriminator_loss: 7.31886 Generator_loss: 4.65314
[INFO] 2021-01-03 12:23:55 > Step: 400 Progress: 0.4% Elapsed: 0:11:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.80753 Generator_loss: 5.02409
[INFO] 2021-01-03 12:26:46 > Step: 500 Progress: 0.5% Elapsed: 0:14:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.92258 Generator_loss: 5.14677
[INFO] 2021-01-03 12:29:38 > Step: 600 Progress: 0.6% Elapsed: 0:17:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.94462 Generator_loss: 4.6387
[INFO] 2021-01-03 12:32:31 > Step: 700 Progress: 0.7% Elapsed: 0:20:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.96487 Generator_loss: 4.24459
[INFO] 2021-01-03 12:35:24 > Step: 800 Progress: 0.8% Elapsed: 0:23:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.97093 Generator_loss: 5.24227
[INFO] 2021-01-03 12:38:16 > Step: 900 Progress: 0.9% Elapsed: 0:25:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.79093 Generator_loss: 4.24168
[INFO] 2021-01-03 12:41:06 > Step: 1000 Progress: 1.0% Elapsed: 0:28:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.85432 Generator_loss: 5.14225
[INFO] 2021-01-03 12:44:00 > Step: 1100 Progress: 1.1% Elapsed: 0:31:40 temperature: 1.0 ada_p: No Discriminator_loss: 7.01816 Generator_loss: 4.32412
[INFO] 2021-01-03 12:46:52 > Step: 1200 Progress: 1.2% Elapsed: 0:34:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.89475 Generator_loss: 4.87811
[INFO] 2021-01-03 12:49:44 > Step: 1300 Progress: 1.3% Elapsed: 0:37:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.88413 Generator_loss: 4.87026
[INFO] 2021-01-03 12:52:35 > Step: 1400 Progress: 1.4% Elapsed: 0:40:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.78103 Generator_loss: 5.29467
[INFO] 2021-01-03 12:55:28 > Step: 1500 Progress: 1.5% Elapsed: 0:43:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.72679 Generator_loss: 4.47065
[INFO] 2021-01-03 12:58:20 > Step: 1600 Progress: 1.6% Elapsed: 0:45:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.67988 Generator_loss: 4.28746
[INFO] 2021-01-03 13:01:10 > Step: 1700 Progress: 1.7% Elapsed: 0:48:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.72881 Generator_loss: 5.05384
[INFO] 2021-01-03 13:04:03 > Step: 1800 Progress: 1.8% Elapsed: 0:51:42 temperature: 1.0 ada_p: No Discriminator_loss: 7.08848 Generator_loss: 4.58278
[INFO] 2021-01-03 13:06:52 > Step: 1900 Progress: 1.9% Elapsed: 0:54:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.66814 Generator_loss: 5.00186
[INFO] 2021-01-03 13:09:43 > Step: 2000 Progress: 2.0% Elapsed: 0:57:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.71662 Generator_loss: 5.47366
[INFO] 2021-01-03 13:09:43 > Start Evaluation (2000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 13:09:43 > Calculating FID Score....
[INFO] 2021-01-03 13:09:59 > Calculating Inception Score....
[INFO] 2021-01-03 13:10:02 > Calculate F_beta Score....
[INFO] 2021-01-03 13:10:21 > Calculate Accuracies....
[INFO] 2021-01-03 13:10:24 > Calculate Accuracies....
[INFO] 2021-01-03 13:10:26 > F_8 score (Step: 2000, Using valid images): 0.2702463005986928
[INFO] 2021-01-03 13:10:26 > F_1/8 score (Step: 2000, Using valid images): 0.5027099596497678
[INFO] 2021-01-03 13:10:26 > FID score (Step: 2000, Using valid moments): 103.72827865898233
[INFO] 2021-01-03 13:10:26 > Inception score (Step: 2000, 10000 generated images): 4.75201416015625
[INFO] 2021-01-03 13:10:26 > Best FID score (Step: 2000, Using valid moments): 103.72827865898233
[INFO] 2021-01-03 13:10:39 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 13:13:33 > Step: 2100 Progress: 2.1% Elapsed: 1:01:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.78574 Generator_loss: 4.86159
[INFO] 2021-01-03 13:16:24 > Step: 2200 Progress: 2.2% Elapsed: 1:04:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.67192 Generator_loss: 4.78678
[INFO] 2021-01-03 13:19:13 > Step: 2300 Progress: 2.3% Elapsed: 1:06:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.65908 Generator_loss: 4.75349
[INFO] 2021-01-03 13:22:02 > Step: 2400 Progress: 2.4% Elapsed: 1:09:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.65994 Generator_loss: 4.78229
[INFO] 2021-01-03 13:24:54 > Step: 2500 Progress: 2.5% Elapsed: 1:12:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.88885 Generator_loss: 4.42079
[INFO] 2021-01-03 13:27:47 > Step: 2600 Progress: 2.6% Elapsed: 1:15:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.75692 Generator_loss: 4.44385
[INFO] 2021-01-03 13:30:39 > Step: 2700 Progress: 2.7% Elapsed: 1:18:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.70798 Generator_loss: 4.64125
[INFO] 2021-01-03 13:33:29 > Step: 2800 Progress: 2.8% Elapsed: 1:21:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.74901 Generator_loss: 4.21122
[INFO] 2021-01-03 13:36:18 > Step: 2900 Progress: 2.9% Elapsed: 1:23:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.62922 Generator_loss: 4.87639
[INFO] 2021-01-03 13:39:10 > Step: 3000 Progress: 3.0% Elapsed: 1:26:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.59712 Generator_loss: 4.06283
[INFO] 2021-01-03 13:42:02 > Step: 3100 Progress: 3.1% Elapsed: 1:29:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.59791 Generator_loss: 4.52255
[INFO] 2021-01-03 13:44:56 > Step: 3200 Progress: 3.2% Elapsed: 1:32:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.54896 Generator_loss: 4.21771
[INFO] 2021-01-03 13:47:47 > Step: 3300 Progress: 3.3% Elapsed: 1:35:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.67285 Generator_loss: 5.35514
[INFO] 2021-01-03 13:50:40 > Step: 3400 Progress: 3.4% Elapsed: 1:38:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.6176 Generator_loss: 4.6263
[INFO] 2021-01-03 13:53:27 > Step: 3500 Progress: 3.5% Elapsed: 1:41:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.64202 Generator_loss: 5.56152
[INFO] 2021-01-03 13:56:18 > Step: 3600 Progress: 3.6% Elapsed: 1:43:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.58741 Generator_loss: 5.40971
[INFO] 2021-01-03 13:59:09 > Step: 3700 Progress: 3.7% Elapsed: 1:46:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.66207 Generator_loss: 4.00382
[INFO] 2021-01-03 14:02:00 > Step: 3800 Progress: 3.8% Elapsed: 1:49:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.62233 Generator_loss: 3.98645
[INFO] 2021-01-03 14:04:53 > Step: 3900 Progress: 3.9% Elapsed: 1:52:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.55402 Generator_loss: 5.28973
[INFO] 2021-01-03 14:07:46 > Step: 4000 Progress: 4.0% Elapsed: 1:55:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.73373 Generator_loss: 4.48326
[INFO] 2021-01-03 14:07:46 > Start Evaluation (4000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 14:07:46 > Calculating FID Score....
[INFO] 2021-01-03 14:07:59 > Calculating Inception Score....
[INFO] 2021-01-03 14:08:02 > Calculate F_beta Score....
[INFO] 2021-01-03 14:08:19 > Calculate Accuracies....
[INFO] 2021-01-03 14:08:22 > Calculate Accuracies....
[INFO] 2021-01-03 14:08:23 > F_8 score (Step: 4000, Using valid images): 0.5153913935782508
[INFO] 2021-01-03 14:08:23 > F_1/8 score (Step: 4000, Using valid images): 0.8305617228773
[INFO] 2021-01-03 14:08:23 > FID score (Step: 4000, Using valid moments): 72.03805107141648
[INFO] 2021-01-03 14:08:23 > Inception score (Step: 4000, 10000 generated images): 7.233361721038818
[INFO] 2021-01-03 14:08:23 > Best FID score (Step: 4000, Using valid moments): 72.03805107141648
[INFO] 2021-01-03 14:08:37 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 14:11:29 > Step: 4100 Progress: 4.1% Elapsed: 1:59:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.64488 Generator_loss: 4.54965
[INFO] 2021-01-03 14:14:20 > Step: 4200 Progress: 4.2% Elapsed: 2:02:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.68842 Generator_loss: 5.25234
[INFO] 2021-01-03 14:17:10 > Step: 4300 Progress: 4.3% Elapsed: 2:04:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.65982 Generator_loss: 4.36401
[INFO] 2021-01-03 14:20:01 > Step: 4400 Progress: 4.4% Elapsed: 2:07:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.66381 Generator_loss: 4.80296
[INFO] 2021-01-03 14:22:51 > Step: 4500 Progress: 4.5% Elapsed: 2:10:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.5182 Generator_loss: 3.85943
[INFO] 2021-01-03 14:25:41 > Step: 4600 Progress: 4.6% Elapsed: 2:13:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.67633 Generator_loss: 5.30256
[INFO] 2021-01-03 14:28:31 > Step: 4700 Progress: 4.7% Elapsed: 2:16:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.51796 Generator_loss: 4.15231
[INFO] 2021-01-03 14:31:21 > Step: 4800 Progress: 4.8% Elapsed: 2:19:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.55 Generator_loss: 4.08717
[INFO] 2021-01-03 14:34:14 > Step: 4900 Progress: 4.9% Elapsed: 2:21:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.51887 Generator_loss: 5.06643
[INFO] 2021-01-03 14:37:06 > Step: 5000 Progress: 5.0% Elapsed: 2:24:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.83032 Generator_loss: 5.2925
[INFO] 2021-01-03 14:39:58 > Step: 5100 Progress: 5.1% Elapsed: 2:27:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.58856 Generator_loss: 4.92342
[INFO] 2021-01-03 14:42:48 > Step: 5200 Progress: 5.2% Elapsed: 2:30:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.61013 Generator_loss: 5.31117
[INFO] 2021-01-03 14:45:38 > Step: 5300 Progress: 5.3% Elapsed: 2:33:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.47276 Generator_loss: 5.3709
[INFO] 2021-01-03 14:48:29 > Step: 5400 Progress: 5.4% Elapsed: 2:36:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.504 Generator_loss: 5.45289
[INFO] 2021-01-03 14:51:22 > Step: 5500 Progress: 5.5% Elapsed: 2:39:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.61891 Generator_loss: 4.83698
[INFO] 2021-01-03 14:54:15 > Step: 5600 Progress: 5.6% Elapsed: 2:41:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.55463 Generator_loss: 4.50593
[INFO] 2021-01-03 14:57:05 > Step: 5700 Progress: 5.7% Elapsed: 2:44:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.58983 Generator_loss: 5.24965
[INFO] 2021-01-03 14:59:57 > Step: 5800 Progress: 5.8% Elapsed: 2:47:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.49628 Generator_loss: 4.99251
[INFO] 2021-01-03 15:02:46 > Step: 5900 Progress: 5.9% Elapsed: 2:50:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.51211 Generator_loss: 4.52487
[INFO] 2021-01-03 15:05:37 > Step: 6000 Progress: 6.0% Elapsed: 2:53:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.59831 Generator_loss: 4.73029
[INFO] 2021-01-03 15:05:37 > Start Evaluation (6000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 15:05:37 > Calculating FID Score....
[INFO] 2021-01-03 15:05:51 > Calculating Inception Score....
[INFO] 2021-01-03 15:05:54 > Calculate F_beta Score....
[INFO] 2021-01-03 15:06:11 > Calculate Accuracies....
[INFO] 2021-01-03 15:06:14 > Calculate Accuracies....
[INFO] 2021-01-03 15:06:15 > F_8 score (Step: 6000, Using valid images): 0.590158747215016
[INFO] 2021-01-03 15:06:15 > F_1/8 score (Step: 6000, Using valid images): 0.8802283713941507
[INFO] 2021-01-03 15:06:15 > FID score (Step: 6000, Using valid moments): 62.05987307616209
[INFO] 2021-01-03 15:06:15 > Inception score (Step: 6000, 10000 generated images): 8.064008712768555
[INFO] 2021-01-03 15:06:15 > Best FID score (Step: 6000, Using valid moments): 62.05987307616209
[INFO] 2021-01-03 15:06:29 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 15:09:18 > Step: 6100 Progress: 6.1% Elapsed: 2:56:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.44294 Generator_loss: 4.45973
[INFO] 2021-01-03 15:12:09 > Step: 6200 Progress: 6.2% Elapsed: 2:59:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.48379 Generator_loss: 4.20441
[INFO] 2021-01-03 15:15:02 > Step: 6300 Progress: 6.3% Elapsed: 3:02:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.52136 Generator_loss: 3.77244
[INFO] 2021-01-03 15:17:53 > Step: 6400 Progress: 6.4% Elapsed: 3:05:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.59288 Generator_loss: 5.04758
[INFO] 2021-01-03 15:20:46 > Step: 6500 Progress: 6.5% Elapsed: 3:08:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.53718 Generator_loss: 4.85435
[INFO] 2021-01-03 15:23:38 > Step: 6600 Progress: 6.6% Elapsed: 3:11:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.43445 Generator_loss: 4.95111
[INFO] 2021-01-03 15:26:29 > Step: 6700 Progress: 6.7% Elapsed: 3:14:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.47364 Generator_loss: 4.21987
[INFO] 2021-01-03 15:29:21 > Step: 6800 Progress: 6.8% Elapsed: 3:17:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.476 Generator_loss: 4.59832
[INFO] 2021-01-03 15:32:13 > Step: 6900 Progress: 6.9% Elapsed: 3:19:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.44057 Generator_loss: 4.68063
[INFO] 2021-01-03 15:35:05 > Step: 7000 Progress: 7.0% Elapsed: 3:22:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.69252 Generator_loss: 4.47437
[INFO] 2021-01-03 15:37:57 > Step: 7100 Progress: 7.1% Elapsed: 3:25:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.43051 Generator_loss: 4.96852
[INFO] 2021-01-03 15:40:50 > Step: 7200 Progress: 7.2% Elapsed: 3:28:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.50748 Generator_loss: 5.06738
[INFO] 2021-01-03 15:43:39 > Step: 7300 Progress: 7.3% Elapsed: 3:31:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.57655 Generator_loss: 4.64613
[INFO] 2021-01-03 15:46:28 > Step: 7400 Progress: 7.4% Elapsed: 3:34:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.5271 Generator_loss: 5.01034
[INFO] 2021-01-03 15:49:17 > Step: 7500 Progress: 7.5% Elapsed: 3:36:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.58845 Generator_loss: 4.57695
[INFO] 2021-01-03 15:52:04 > Step: 7600 Progress: 7.6% Elapsed: 3:39:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.52555 Generator_loss: 4.96504
[INFO] 2021-01-03 15:54:57 > Step: 7700 Progress: 7.7% Elapsed: 3:42:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.45566 Generator_loss: 4.58463
[INFO] 2021-01-03 15:57:52 > Step: 7800 Progress: 7.8% Elapsed: 3:45:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.45309 Generator_loss: 4.70209
[INFO] 2021-01-03 16:00:45 > Step: 7900 Progress: 7.9% Elapsed: 3:48:24 temperature: 1.0 ada_p: No Discriminator_loss: 7.0992 Generator_loss: 4.59713
[INFO] 2021-01-03 16:03:38 > Step: 8000 Progress: 8.0% Elapsed: 3:51:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.61559 Generator_loss: 4.79283
[INFO] 2021-01-03 16:03:38 > Start Evaluation (8000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 16:03:38 > Calculating FID Score....
[INFO] 2021-01-03 16:03:52 > Calculating Inception Score....
[INFO] 2021-01-03 16:03:55 > Calculate F_beta Score....
[INFO] 2021-01-03 16:04:12 > Calculate Accuracies....
[INFO] 2021-01-03 16:04:15 > Calculate Accuracies....
[INFO] 2021-01-03 16:04:16 > F_8 score (Step: 8000, Using valid images): 0.6530309716889869
[INFO] 2021-01-03 16:04:16 > F_1/8 score (Step: 8000, Using valid images): 0.8973460120830926
[INFO] 2021-01-03 16:04:16 > FID score (Step: 8000, Using valid moments): 51.95023538642607
[INFO] 2021-01-03 16:04:16 > Inception score (Step: 8000, 10000 generated images): 8.87625789642334
[INFO] 2021-01-03 16:04:16 > Best FID score (Step: 8000, Using valid moments): 51.95023538642607
[INFO] 2021-01-03 16:04:30 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 16:07:21 > Step: 8100 Progress: 8.1% Elapsed: 3:55:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.53095 Generator_loss: 4.07903
[INFO] 2021-01-03 16:10:14 > Step: 8200 Progress: 8.2% Elapsed: 3:57:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.42768 Generator_loss: 4.56545
[INFO] 2021-01-03 16:13:03 > Step: 8300 Progress: 8.3% Elapsed: 4:00:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.56548 Generator_loss: 3.50281
[INFO] 2021-01-03 16:15:52 > Step: 8400 Progress: 8.4% Elapsed: 4:03:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.46604 Generator_loss: 3.80247
[INFO] 2021-01-03 16:18:46 > Step: 8500 Progress: 8.5% Elapsed: 4:06:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.49749 Generator_loss: 4.82673
[INFO] 2021-01-03 16:21:38 > Step: 8600 Progress: 8.6% Elapsed: 4:09:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.34132 Generator_loss: 4.92894
[INFO] 2021-01-03 16:24:33 > Step: 8700 Progress: 8.7% Elapsed: 4:12:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.55552 Generator_loss: 4.69475
[INFO] 2021-01-03 16:27:27 > Step: 8800 Progress: 8.8% Elapsed: 4:15:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.34198 Generator_loss: 4.703
[INFO] 2021-01-03 16:30:22 > Step: 8900 Progress: 8.9% Elapsed: 4:18:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.42914 Generator_loss: 4.64253
[INFO] 2021-01-03 16:33:09 > Step: 9000 Progress: 9.0% Elapsed: 4:20:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.35715 Generator_loss: 4.89753
[INFO] 2021-01-03 16:35:58 > Step: 9100 Progress: 9.1% Elapsed: 4:23:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.58981 Generator_loss: 4.02724
[INFO] 2021-01-03 16:38:45 > Step: 9200 Progress: 9.2% Elapsed: 4:26:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.41138 Generator_loss: 5.13676
[INFO] 2021-01-03 16:41:35 > Step: 9300 Progress: 9.3% Elapsed: 4:29:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.43367 Generator_loss: 4.91908
[INFO] 2021-01-03 16:44:24 > Step: 9400 Progress: 9.4% Elapsed: 4:32:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.46083 Generator_loss: 4.62341
[INFO] 2021-01-03 16:47:16 > Step: 9500 Progress: 9.5% Elapsed: 4:34:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.37256 Generator_loss: 5.16165
[INFO] 2021-01-03 16:50:08 > Step: 9600 Progress: 9.6% Elapsed: 4:37:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.5784 Generator_loss: 3.94779
[INFO] 2021-01-03 16:53:00 > Step: 9700 Progress: 9.7% Elapsed: 4:40:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.30188 Generator_loss: 3.6774
[INFO] 2021-01-03 16:55:52 > Step: 9800 Progress: 9.8% Elapsed: 4:43:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.4326 Generator_loss: 4.89229
[INFO] 2021-01-03 16:58:44 > Step: 9900 Progress: 9.9% Elapsed: 4:46:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.43683 Generator_loss: 5.24856
[INFO] 2021-01-03 17:01:37 > Step: 10000 Progress: 10.0% Elapsed: 4:49:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.42155 Generator_loss: 4.77952
[INFO] 2021-01-03 17:01:37 > Start Evaluation (10000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 17:01:37 > Calculating FID Score....
[INFO] 2021-01-03 17:01:51 > Calculating Inception Score....
[INFO] 2021-01-03 17:01:54 > Calculate F_beta Score....
[INFO] 2021-01-03 17:02:11 > Calculate Accuracies....
[INFO] 2021-01-03 17:02:14 > Calculate Accuracies....
[INFO] 2021-01-03 17:02:15 > F_8 score (Step: 10000, Using valid images): 0.7188462599762431
[INFO] 2021-01-03 17:02:15 > F_1/8 score (Step: 10000, Using valid images): 0.9214452752809578
[INFO] 2021-01-03 17:02:15 > FID score (Step: 10000, Using valid moments): 46.653244255643926
[INFO] 2021-01-03 17:02:15 > Inception score (Step: 10000, 10000 generated images): 9.68622875213623
[INFO] 2021-01-03 17:02:15 > Best FID score (Step: 10000, Using valid moments): 46.653244255643926
[INFO] 2021-01-03 17:02:29 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 17:05:21 > Step: 10100 Progress: 10.1% Elapsed: 4:53:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.34005 Generator_loss: 4.43887
[INFO] 2021-01-03 17:08:13 > Step: 10200 Progress: 10.2% Elapsed: 4:55:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.47771 Generator_loss: 4.58318
[INFO] 2021-01-03 17:11:03 > Step: 10300 Progress: 10.3% Elapsed: 4:58:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.36627 Generator_loss: 5.02635
[INFO] 2021-01-03 17:13:56 > Step: 10400 Progress: 10.4% Elapsed: 5:01:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.47335 Generator_loss: 4.83058
[INFO] 2021-01-03 17:16:47 > Step: 10500 Progress: 10.5% Elapsed: 5:04:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.48605 Generator_loss: 5.27837
[INFO] 2021-01-03 17:19:37 > Step: 10600 Progress: 10.6% Elapsed: 5:07:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.25341 Generator_loss: 4.03693
[INFO] 2021-01-03 17:22:31 > Step: 10700 Progress: 10.7% Elapsed: 5:10:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.43202 Generator_loss: 4.46722
[INFO] 2021-01-03 17:25:22 > Step: 10800 Progress: 10.8% Elapsed: 5:13:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.43598 Generator_loss: 4.98462
[INFO] 2021-01-03 17:28:15 > Step: 10900 Progress: 10.9% Elapsed: 5:15:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.36561 Generator_loss: 3.40403
[INFO] 2021-01-03 17:31:07 > Step: 11000 Progress: 11.0% Elapsed: 5:18:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.33564 Generator_loss: 5.18975
[INFO] 2021-01-03 17:33:59 > Step: 11100 Progress: 11.1% Elapsed: 5:21:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.30538 Generator_loss: 4.77967
[INFO] 2021-01-03 17:36:50 > Step: 11200 Progress: 11.2% Elapsed: 5:24:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.29452 Generator_loss: 5.26917
[INFO] 2021-01-03 17:39:41 > Step: 11300 Progress: 11.3% Elapsed: 5:27:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.32956 Generator_loss: 5.06068
[INFO] 2021-01-03 17:42:34 > Step: 11400 Progress: 11.4% Elapsed: 5:30:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.26041 Generator_loss: 5.01911
[INFO] 2021-01-03 17:45:25 > Step: 11500 Progress: 11.5% Elapsed: 5:33:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.45697 Generator_loss: 4.37622
[INFO] 2021-01-03 17:48:17 > Step: 11600 Progress: 11.6% Elapsed: 5:35:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.24743 Generator_loss: 4.80228
[INFO] 2021-01-03 17:51:09 > Step: 11700 Progress: 11.7% Elapsed: 5:38:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.31752 Generator_loss: 4.69717
[INFO] 2021-01-03 17:53:59 > Step: 11800 Progress: 11.8% Elapsed: 5:41:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.35306 Generator_loss: 4.65288
[INFO] 2021-01-03 17:56:49 > Step: 11900 Progress: 11.9% Elapsed: 5:44:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.30428 Generator_loss: 4.96402
[INFO] 2021-01-03 17:59:38 > Step: 12000 Progress: 12.0% Elapsed: 5:47:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.33451 Generator_loss: 4.60749
[INFO] 2021-01-03 17:59:38 > Start Evaluation (12000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 17:59:38 > Calculating FID Score....
[INFO] 2021-01-03 17:59:52 > Calculating Inception Score....
[INFO] 2021-01-03 17:59:55 > Calculate F_beta Score....
[INFO] 2021-01-03 18:00:13 > Calculate Accuracies....
[INFO] 2021-01-03 18:00:16 > Calculate Accuracies....
[INFO] 2021-01-03 18:00:17 > F_8 score (Step: 12000, Using valid images): 0.7529848455905968
[INFO] 2021-01-03 18:00:17 > F_1/8 score (Step: 12000, Using valid images): 0.9422622262906234
[INFO] 2021-01-03 18:00:17 > FID score (Step: 12000, Using valid moments): 42.88513108292409
[INFO] 2021-01-03 18:00:17 > Inception score (Step: 12000, 10000 generated images): 10.627693176269531
[INFO] 2021-01-03 18:00:17 > Best FID score (Step: 12000, Using valid moments): 42.88513108292409
[INFO] 2021-01-03 18:00:31 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 18:03:23 > Step: 12100 Progress: 12.1% Elapsed: 5:51:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.23661 Generator_loss: 5.11765
[INFO] 2021-01-03 18:06:14 > Step: 12200 Progress: 12.2% Elapsed: 5:53:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.26215 Generator_loss: 5.23562
[INFO] 2021-01-03 18:09:06 > Step: 12300 Progress: 12.3% Elapsed: 5:56:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.28344 Generator_loss: 4.84552
[INFO] 2021-01-03 18:11:59 > Step: 12400 Progress: 12.4% Elapsed: 5:59:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.29989 Generator_loss: 5.25537
[INFO] 2021-01-03 18:14:53 > Step: 12500 Progress: 12.5% Elapsed: 6:02:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.22388 Generator_loss: 4.57736
[INFO] 2021-01-03 18:17:45 > Step: 12600 Progress: 12.6% Elapsed: 6:05:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.30389 Generator_loss: 4.65688
[INFO] 2021-01-03 18:20:39 > Step: 12700 Progress: 12.7% Elapsed: 6:08:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.25882 Generator_loss: 4.5907
[INFO] 2021-01-03 18:23:32 > Step: 12800 Progress: 12.8% Elapsed: 6:11:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.31346 Generator_loss: 4.65451
[INFO] 2021-01-03 18:26:25 > Step: 12900 Progress: 12.9% Elapsed: 6:14:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.21457 Generator_loss: 4.59331
[INFO] 2021-01-03 18:29:19 > Step: 13000 Progress: 13.0% Elapsed: 6:16:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.39392 Generator_loss: 4.54977
[INFO] 2021-01-03 18:32:12 > Step: 13100 Progress: 13.1% Elapsed: 6:19:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.36447 Generator_loss: 4.12906
[INFO] 2021-01-03 18:35:05 > Step: 13200 Progress: 13.2% Elapsed: 6:22:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.14617 Generator_loss: 5.07899
[INFO] 2021-01-03 18:37:55 > Step: 13300 Progress: 13.3% Elapsed: 6:25:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.29672 Generator_loss: 4.50372
[INFO] 2021-01-03 18:40:45 > Step: 13400 Progress: 13.4% Elapsed: 6:28:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.23071 Generator_loss: 5.19762
[INFO] 2021-01-03 18:43:36 > Step: 13500 Progress: 13.5% Elapsed: 6:31:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.19848 Generator_loss: 5.22128
[INFO] 2021-01-03 18:46:31 > Step: 13600 Progress: 13.6% Elapsed: 6:34:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.25029 Generator_loss: 5.18946
[INFO] 2021-01-03 18:49:26 > Step: 13700 Progress: 13.7% Elapsed: 6:37:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.27307 Generator_loss: 4.59572
[INFO] 2021-01-03 18:52:18 > Step: 13800 Progress: 13.8% Elapsed: 6:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.21245 Generator_loss: 4.99319
[INFO] 2021-01-03 18:55:10 > Step: 13900 Progress: 13.9% Elapsed: 6:42:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.11853 Generator_loss: 5.32416
[INFO] 2021-01-03 18:58:02 > Step: 14000 Progress: 14.0% Elapsed: 6:45:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.41975 Generator_loss: 4.05699
[INFO] 2021-01-03 18:58:02 > Start Evaluation (14000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 18:58:02 > Calculating FID Score....
[INFO] 2021-01-03 18:58:16 > Calculating Inception Score....
[INFO] 2021-01-03 18:58:19 > Calculate F_beta Score....
[INFO] 2021-01-03 18:58:36 > Calculate Accuracies....
[INFO] 2021-01-03 18:58:39 > Calculate Accuracies....
[INFO] 2021-01-03 18:58:40 > F_8 score (Step: 14000, Using valid images): 0.7743453066047139
[INFO] 2021-01-03 18:58:40 > F_1/8 score (Step: 14000, Using valid images): 0.953669388317479
[INFO] 2021-01-03 18:58:40 > FID score (Step: 14000, Using valid moments): 39.81994957304187
[INFO] 2021-01-03 18:58:40 > Inception score (Step: 14000, 10000 generated images): 11.189374923706055
[INFO] 2021-01-03 18:58:40 > Best FID score (Step: 14000, Using valid moments): 39.81994957304187
[INFO] 2021-01-03 18:58:54 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 19:01:49 > Step: 14100 Progress: 14.1% Elapsed: 6:49:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.22365 Generator_loss: 4.75376
[INFO] 2021-01-03 19:04:44 > Step: 14200 Progress: 14.2% Elapsed: 6:52:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.14843 Generator_loss: 5.20642
[INFO] 2021-01-03 19:07:36 > Step: 14300 Progress: 14.3% Elapsed: 6:55:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.17961 Generator_loss: 3.71263
[INFO] 2021-01-03 19:10:30 > Step: 14400 Progress: 14.4% Elapsed: 6:58:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.09383 Generator_loss: 5.04754
[INFO] 2021-01-03 19:13:19 > Step: 14500 Progress: 14.5% Elapsed: 7:00:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.21457 Generator_loss: 3.90103
[INFO] 2021-01-03 19:16:09 > Step: 14600 Progress: 14.6% Elapsed: 7:03:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.11512 Generator_loss: 4.44649
[INFO] 2021-01-03 19:18:58 > Step: 14700 Progress: 14.7% Elapsed: 7:06:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.33124 Generator_loss: 4.81103
[INFO] 2021-01-03 19:21:47 > Step: 14800 Progress: 14.8% Elapsed: 7:09:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.16006 Generator_loss: 4.68431
[INFO] 2021-01-03 19:24:40 > Step: 14900 Progress: 14.9% Elapsed: 7:12:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.43555 Generator_loss: 4.22257
[INFO] 2021-01-03 19:27:32 > Step: 15000 Progress: 15.0% Elapsed: 7:15:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.08762 Generator_loss: 5.15719
[INFO] 2021-01-03 19:30:26 > Step: 15100 Progress: 15.1% Elapsed: 7:18:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.05859 Generator_loss: 5.22505
[INFO] 2021-01-03 19:33:18 > Step: 15200 Progress: 15.2% Elapsed: 7:20:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.13573 Generator_loss: 5.25132
[INFO] 2021-01-03 19:36:11 > Step: 15300 Progress: 15.3% Elapsed: 7:23:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.18969 Generator_loss: 4.24455
[INFO] 2021-01-03 19:39:04 > Step: 15400 Progress: 15.4% Elapsed: 7:26:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.06485 Generator_loss: 4.75338
[INFO] 2021-01-03 19:41:58 > Step: 15500 Progress: 15.5% Elapsed: 7:29:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.01888 Generator_loss: 4.75456
[INFO] 2021-01-03 19:44:49 > Step: 15600 Progress: 15.6% Elapsed: 7:32:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.04361 Generator_loss: 4.83942
[INFO] 2021-01-03 19:47:41 > Step: 15700 Progress: 15.7% Elapsed: 7:35:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.15848 Generator_loss: 3.61052
[INFO] 2021-01-03 19:50:34 > Step: 15800 Progress: 15.8% Elapsed: 7:38:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.30043 Generator_loss: 4.35827
[INFO] 2021-01-03 19:53:25 > Step: 15900 Progress: 15.9% Elapsed: 7:41:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.03799 Generator_loss: 5.18127
[INFO] 2021-01-03 19:56:18 > Step: 16000 Progress: 16.0% Elapsed: 7:43:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.03975 Generator_loss: 4.54399
[INFO] 2021-01-03 19:56:18 > Start Evaluation (16000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 19:56:18 > Calculating FID Score....
[INFO] 2021-01-03 19:56:32 > Calculating Inception Score....
[INFO] 2021-01-03 19:56:35 > Calculate F_beta Score....
[INFO] 2021-01-03 19:56:53 > Calculate Accuracies....
[INFO] 2021-01-03 19:56:56 > Calculate Accuracies....
[INFO] 2021-01-03 19:56:58 > F_8 score (Step: 16000, Using valid images): 0.8174838909131533
[INFO] 2021-01-03 19:56:58 > F_1/8 score (Step: 16000, Using valid images): 0.96523826312277
[INFO] 2021-01-03 19:56:58 > FID score (Step: 16000, Using valid moments): 35.40298727795965
[INFO] 2021-01-03 19:56:58 > Inception score (Step: 16000, 10000 generated images): 11.746187210083008
[INFO] 2021-01-03 19:56:58 > Best FID score (Step: 16000, Using valid moments): 35.40298727795965
[INFO] 2021-01-03 19:57:11 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 20:00:01 > Step: 16100 Progress: 16.1% Elapsed: 7:47:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.24383 Generator_loss: 4.6183
[INFO] 2021-01-03 20:02:54 > Step: 16200 Progress: 16.2% Elapsed: 7:50:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.01668 Generator_loss: 5.2273
[INFO] 2021-01-03 20:05:45 > Step: 16300 Progress: 16.3% Elapsed: 7:53:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.02378 Generator_loss: 4.68507
[INFO] 2021-01-03 20:08:38 > Step: 16400 Progress: 16.4% Elapsed: 7:56:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.36911 Generator_loss: 4.17908
[INFO] 2021-01-03 20:11:30 > Step: 16500 Progress: 16.5% Elapsed: 7:59:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.24009 Generator_loss: 4.73939
[INFO] 2021-01-03 20:14:20 > Step: 16600 Progress: 16.6% Elapsed: 8:01:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.2693 Generator_loss: 4.47296
[INFO] 2021-01-03 20:17:09 > Step: 16700 Progress: 16.7% Elapsed: 8:04:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.14914 Generator_loss: 5.19127
[INFO] 2021-01-03 20:20:02 > Step: 16800 Progress: 16.8% Elapsed: 8:07:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.07733 Generator_loss: 4.95691
[INFO] 2021-01-03 20:22:55 > Step: 16900 Progress: 16.9% Elapsed: 8:10:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.94311 Generator_loss: 4.5152
[INFO] 2021-01-03 20:25:44 > Step: 17000 Progress: 17.0% Elapsed: 8:13:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.18333 Generator_loss: 4.55697
[INFO] 2021-01-03 20:28:36 > Step: 17100 Progress: 17.1% Elapsed: 8:16:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.0346 Generator_loss: 5.35167
[INFO] 2021-01-03 20:31:26 > Step: 17200 Progress: 17.2% Elapsed: 8:19:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.0905 Generator_loss: 4.48711
[INFO] 2021-01-03 20:34:14 > Step: 17300 Progress: 17.3% Elapsed: 8:21:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.23563 Generator_loss: 4.43124
[INFO] 2021-01-03 20:37:02 > Step: 17400 Progress: 17.4% Elapsed: 8:24:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.4978 Generator_loss: 4.24299
[INFO] 2021-01-03 20:39:55 > Step: 17500 Progress: 17.5% Elapsed: 8:27:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.17403 Generator_loss: 4.55053
[INFO] 2021-01-03 20:42:46 > Step: 17600 Progress: 17.6% Elapsed: 8:30:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.04128 Generator_loss: 5.18224
[INFO] 2021-01-03 20:45:40 > Step: 17700 Progress: 17.7% Elapsed: 8:33:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.06469 Generator_loss: 5.07463
[INFO] 2021-01-03 20:48:30 > Step: 17800 Progress: 17.8% Elapsed: 8:36:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.17645 Generator_loss: 5.41437
[INFO] 2021-01-03 20:51:23 > Step: 17900 Progress: 17.9% Elapsed: 8:39:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.16824 Generator_loss: 4.54853
[INFO] 2021-01-03 20:54:17 > Step: 18000 Progress: 18.0% Elapsed: 8:41:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.04326 Generator_loss: 4.99682
[INFO] 2021-01-03 20:54:17 > Start Evaluation (18000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 20:54:17 > Calculating FID Score....
[INFO] 2021-01-03 20:54:31 > Calculating Inception Score....
[INFO] 2021-01-03 20:54:34 > Calculate F_beta Score....
[INFO] 2021-01-03 20:54:51 > Calculate Accuracies....
[INFO] 2021-01-03 20:54:54 > Calculate Accuracies....
[INFO] 2021-01-03 20:54:55 > F_8 score (Step: 18000, Using valid images): 0.816357971146927
[INFO] 2021-01-03 20:54:55 > F_1/8 score (Step: 18000, Using valid images): 0.9513179005695654
[INFO] 2021-01-03 20:54:55 > FID score (Step: 18000, Using valid moments): 35.176380511962634
[INFO] 2021-01-03 20:54:55 > Inception score (Step: 18000, 10000 generated images): 11.55974292755127
[INFO] 2021-01-03 20:54:55 > Best FID score (Step: 18000, Using valid moments): 35.176380511962634
[INFO] 2021-01-03 20:55:08 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 20:58:00 > Step: 18100 Progress: 18.1% Elapsed: 8:45:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.27405 Generator_loss: 4.5802
[INFO] 2021-01-03 21:00:52 > Step: 18200 Progress: 18.2% Elapsed: 8:48:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.26836 Generator_loss: 4.89084
[INFO] 2021-01-03 21:03:44 > Step: 18300 Progress: 18.3% Elapsed: 8:51:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.1374 Generator_loss: 5.00379
[INFO] 2021-01-03 21:06:36 > Step: 18400 Progress: 18.4% Elapsed: 8:54:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.17395 Generator_loss: 4.50684
[INFO] 2021-01-03 21:09:23 > Step: 18500 Progress: 18.5% Elapsed: 8:57:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.14714 Generator_loss: 4.5774
[INFO] 2021-01-03 21:12:12 > Step: 18600 Progress: 18.6% Elapsed: 8:59:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.41853 Generator_loss: 4.19245
[INFO] 2021-01-03 21:15:03 > Step: 18700 Progress: 18.7% Elapsed: 9:02:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.95348 Generator_loss: 5.47798
[INFO] 2021-01-03 21:17:55 > Step: 18800 Progress: 18.8% Elapsed: 9:05:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.09692 Generator_loss: 4.7498
[INFO] 2021-01-03 21:20:45 > Step: 18900 Progress: 18.9% Elapsed: 9:08:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.03754 Generator_loss: 5.15489
[INFO] 2021-01-03 21:23:38 > Step: 19000 Progress: 19.0% Elapsed: 9:11:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.30324 Generator_loss: 4.43723
[INFO] 2021-01-03 21:26:30 > Step: 19100 Progress: 19.1% Elapsed: 9:14:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.10669 Generator_loss: 4.5695
[INFO] 2021-01-03 21:29:21 > Step: 19200 Progress: 19.2% Elapsed: 9:17:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.01281 Generator_loss: 5.36915
[INFO] 2021-01-03 21:32:13 > Step: 19300 Progress: 19.3% Elapsed: 9:19:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.1336 Generator_loss: 4.71271
[INFO] 2021-01-03 21:35:04 > Step: 19400 Progress: 19.4% Elapsed: 9:22:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.04579 Generator_loss: 4.75856
[INFO] 2021-01-03 21:37:57 > Step: 19500 Progress: 19.5% Elapsed: 9:25:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.08477 Generator_loss: 3.84203
[INFO] 2021-01-03 21:40:49 > Step: 19600 Progress: 19.6% Elapsed: 9:28:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.03259 Generator_loss: 4.67746
[INFO] 2021-01-03 21:43:40 > Step: 19700 Progress: 19.7% Elapsed: 9:31:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.95914 Generator_loss: 3.69128
[INFO] 2021-01-03 21:46:33 > Step: 19800 Progress: 19.8% Elapsed: 9:34:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.15181 Generator_loss: 4.46179
[INFO] 2021-01-03 21:49:26 > Step: 19900 Progress: 19.9% Elapsed: 9:37:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.1094 Generator_loss: 5.06551
[INFO] 2021-01-03 21:52:19 > Step: 20000 Progress: 20.0% Elapsed: 9:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.93004 Generator_loss: 5.50486
[INFO] 2021-01-03 21:52:19 > Start Evaluation (20000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 21:52:19 > Calculating FID Score....
[INFO] 2021-01-03 21:52:32 > Calculating Inception Score....
[INFO] 2021-01-03 21:52:35 > Calculate F_beta Score....
[INFO] 2021-01-03 21:52:53 > Calculate Accuracies....
[INFO] 2021-01-03 21:52:56 > Calculate Accuracies....
[INFO] 2021-01-03 21:52:57 > F_8 score (Step: 20000, Using valid images): 0.8313522309075897
[INFO] 2021-01-03 21:52:57 > F_1/8 score (Step: 20000, Using valid images): 0.9630507561282226
[INFO] 2021-01-03 21:52:57 > FID score (Step: 20000, Using valid moments): 33.46773739375419
[INFO] 2021-01-03 21:52:57 > Inception score (Step: 20000, 10000 generated images): 12.141357421875
[INFO] 2021-01-03 21:52:57 > Best FID score (Step: 20000, Using valid moments): 33.46773739375419
[INFO] 2021-01-03 21:53:10 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 21:56:00 > Step: 20100 Progress: 20.1% Elapsed: 9:43:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.91118 Generator_loss: 3.83324
[INFO] 2021-01-03 21:58:51 > Step: 20200 Progress: 20.2% Elapsed: 9:46:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.92018 Generator_loss: 4.9768
[INFO] 2021-01-03 22:01:44 > Step: 20300 Progress: 20.3% Elapsed: 9:49:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.01199 Generator_loss: 5.31775
[INFO] 2021-01-03 22:04:36 > Step: 20400 Progress: 20.4% Elapsed: 9:52:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.03181 Generator_loss: 4.87589
[INFO] 2021-01-03 22:07:28 > Step: 20500 Progress: 20.5% Elapsed: 9:55:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.08286 Generator_loss: 4.98927
[INFO] 2021-01-03 22:10:20 > Step: 20600 Progress: 20.6% Elapsed: 9:58:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.9201 Generator_loss: 4.65151
[INFO] 2021-01-03 22:13:12 > Step: 20700 Progress: 20.7% Elapsed: 10:00:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.18672 Generator_loss: 4.43664
[INFO] 2021-01-03 22:16:00 > Step: 20800 Progress: 20.8% Elapsed: 10:03:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.05173 Generator_loss: 4.97045
[INFO] 2021-01-03 22:18:52 > Step: 20900 Progress: 20.9% Elapsed: 10:06:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.1363 Generator_loss: 4.82488
[INFO] 2021-01-03 22:21:43 > Step: 21000 Progress: 21.0% Elapsed: 10:09:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.01826 Generator_loss: 4.94592
[INFO] 2021-01-03 22:24:32 > Step: 21100 Progress: 21.1% Elapsed: 10:12:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.91722 Generator_loss: 5.23607
[INFO] 2021-01-03 22:27:21 > Step: 21200 Progress: 21.2% Elapsed: 10:15:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.20767 Generator_loss: 4.20165
[INFO] 2021-01-03 22:30:14 > Step: 21300 Progress: 21.3% Elapsed: 10:17:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.94264 Generator_loss: 5.05178
[INFO] 2021-01-03 22:33:07 > Step: 21400 Progress: 21.4% Elapsed: 10:20:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.89438 Generator_loss: 3.89445
[INFO] 2021-01-03 22:35:58 > Step: 21500 Progress: 21.5% Elapsed: 10:23:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.28159 Generator_loss: 4.09782
[INFO] 2021-01-03 22:38:50 > Step: 21600 Progress: 21.6% Elapsed: 10:26:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.95474 Generator_loss: 5.15607
[INFO] 2021-01-03 22:41:41 > Step: 21700 Progress: 21.7% Elapsed: 10:29:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.97035 Generator_loss: 4.77995
[INFO] 2021-01-03 22:44:32 > Step: 21800 Progress: 21.8% Elapsed: 10:32:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.08493 Generator_loss: 3.93047
[INFO] 2021-01-03 22:47:23 > Step: 21900 Progress: 21.9% Elapsed: 10:35:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.04206 Generator_loss: 5.01531
[INFO] 2021-01-03 22:50:14 > Step: 22000 Progress: 22.0% Elapsed: 10:37:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.0764 Generator_loss: 4.92227
[INFO] 2021-01-03 22:50:14 > Start Evaluation (22000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 22:50:14 > Calculating FID Score....
[INFO] 2021-01-03 22:50:28 > Calculating Inception Score....
[INFO] 2021-01-03 22:50:31 > Calculate F_beta Score....
[INFO] 2021-01-03 22:50:48 > Calculate Accuracies....
[INFO] 2021-01-03 22:50:50 > Calculate Accuracies....
[INFO] 2021-01-03 22:50:52 > F_8 score (Step: 22000, Using valid images): 0.8408362088119222
[INFO] 2021-01-03 22:50:52 > F_1/8 score (Step: 22000, Using valid images): 0.968403250229286
[INFO] 2021-01-03 22:50:52 > FID score (Step: 22000, Using valid moments): 30.942581496208106
[INFO] 2021-01-03 22:50:52 > Inception score (Step: 22000, 10000 generated images): 12.583654403686523
[INFO] 2021-01-03 22:50:52 > Best FID score (Step: 22000, Using valid moments): 30.942581496208106
[INFO] 2021-01-03 22:51:06 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 22:53:58 > Step: 22100 Progress: 22.1% Elapsed: 10:41:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.15754 Generator_loss: 4.52584
[INFO] 2021-01-03 22:56:49 > Step: 22200 Progress: 22.2% Elapsed: 10:44:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.13919 Generator_loss: 4.51275
[INFO] 2021-01-03 22:59:40 > Step: 22300 Progress: 22.3% Elapsed: 10:47:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.86698 Generator_loss: 4.6631
[INFO] 2021-01-03 23:02:29 > Step: 22400 Progress: 22.4% Elapsed: 10:50:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.05431 Generator_loss: 5.23617
[INFO] 2021-01-03 23:05:19 > Step: 22500 Progress: 22.5% Elapsed: 10:52:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.88091 Generator_loss: 3.53857
[INFO] 2021-01-03 23:08:11 > Step: 22600 Progress: 22.6% Elapsed: 10:55:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.95811 Generator_loss: 5.03328
[INFO] 2021-01-03 23:11:04 > Step: 22700 Progress: 22.7% Elapsed: 10:58:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.93921 Generator_loss: 5.13802
[INFO] 2021-01-03 23:13:56 > Step: 22800 Progress: 22.8% Elapsed: 11:01:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.05633 Generator_loss: 4.22622
[INFO] 2021-01-03 23:16:47 > Step: 22900 Progress: 22.9% Elapsed: 11:04:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.0466 Generator_loss: 4.83841
[INFO] 2021-01-03 23:19:37 > Step: 23000 Progress: 23.0% Elapsed: 11:07:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.0245 Generator_loss: 4.77194
[INFO] 2021-01-03 23:22:26 > Step: 23100 Progress: 23.1% Elapsed: 11:10:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.24516 Generator_loss: 4.74242
[INFO] 2021-01-03 23:25:16 > Step: 23200 Progress: 23.2% Elapsed: 11:12:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.95914 Generator_loss: 5.04686
[INFO] 2021-01-03 23:28:03 > Step: 23300 Progress: 23.3% Elapsed: 11:15:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.9379 Generator_loss: 5.02848
[INFO] 2021-01-03 23:30:54 > Step: 23400 Progress: 23.4% Elapsed: 11:18:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.19589 Generator_loss: 4.75828
[INFO] 2021-01-03 23:33:41 > Step: 23500 Progress: 23.5% Elapsed: 11:21:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.86278 Generator_loss: 4.6613
[INFO] 2021-01-03 23:36:33 > Step: 23600 Progress: 23.6% Elapsed: 11:24:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.994 Generator_loss: 4.1246
[INFO] 2021-01-03 23:39:25 > Step: 23700 Progress: 23.7% Elapsed: 11:27:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.17193 Generator_loss: 5.61724
[INFO] 2021-01-03 23:42:17 > Step: 23800 Progress: 23.8% Elapsed: 11:29:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.9105 Generator_loss: 5.11153
[INFO] 2021-01-03 23:45:09 > Step: 23900 Progress: 23.9% Elapsed: 11:32:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.98437 Generator_loss: 4.87014
[INFO] 2021-01-03 23:48:02 > Step: 24000 Progress: 24.0% Elapsed: 11:35:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.91758 Generator_loss: 5.424
[INFO] 2021-01-03 23:48:02 > Start Evaluation (24000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 23:48:02 > Calculating FID Score....
[INFO] 2021-01-03 23:48:15 > Calculating Inception Score....
[INFO] 2021-01-03 23:48:18 > Calculate F_beta Score....
[INFO] 2021-01-03 23:48:35 > Calculate Accuracies....
[INFO] 2021-01-03 23:48:38 > Calculate Accuracies....
[INFO] 2021-01-03 23:48:39 > F_8 score (Step: 24000, Using valid images): 0.862002825860582
[INFO] 2021-01-03 23:48:39 > F_1/8 score (Step: 24000, Using valid images): 0.97765413837474
[INFO] 2021-01-03 23:48:39 > FID score (Step: 24000, Using valid moments): 28.153198541185247
[INFO] 2021-01-03 23:48:39 > Inception score (Step: 24000, 10000 generated images): 13.395386695861816
[INFO] 2021-01-03 23:48:39 > Best FID score (Step: 24000, Using valid moments): 28.153198541185247
[INFO] 2021-01-03 23:48:53 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-03 23:51:43 > Step: 24100 Progress: 24.1% Elapsed: 11:39:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.84728 Generator_loss: 4.46789
[INFO] 2021-01-03 23:54:34 > Step: 24200 Progress: 24.2% Elapsed: 11:42:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.92589 Generator_loss: 3.74505
[INFO] 2021-01-03 23:57:24 > Step: 24300 Progress: 24.3% Elapsed: 11:45:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.03328 Generator_loss: 4.59505
[INFO] 2021-01-04 00:00:15 > Step: 24400 Progress: 24.4% Elapsed: 11:47:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.82625 Generator_loss: 4.28191
[INFO] 2021-01-04 00:03:06 > Step: 24500 Progress: 24.5% Elapsed: 11:50:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.23512 Generator_loss: 4.61258
[INFO] 2021-01-04 00:05:59 > Step: 24600 Progress: 24.6% Elapsed: 11:53:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.02253 Generator_loss: 5.18855
[INFO] 2021-01-04 00:08:49 > Step: 24700 Progress: 24.7% Elapsed: 11:56:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.12158 Generator_loss: 4.72159
[INFO] 2021-01-04 00:11:39 > Step: 24800 Progress: 24.8% Elapsed: 11:59:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.82053 Generator_loss: 4.21238
[INFO] 2021-01-04 00:14:26 > Step: 24900 Progress: 24.9% Elapsed: 12:02:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.06947 Generator_loss: 4.85108
[INFO] 2021-01-04 00:17:15 > Step: 25000 Progress: 25.0% Elapsed: 12:04:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.86802 Generator_loss: 5.3142
[INFO] 2021-01-04 00:20:05 > Step: 25100 Progress: 25.1% Elapsed: 12:07:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.06791 Generator_loss: 4.92526
[INFO] 2021-01-04 00:22:57 > Step: 25200 Progress: 25.2% Elapsed: 12:10:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.86909 Generator_loss: 5.39464
[INFO] 2021-01-04 00:25:46 > Step: 25300 Progress: 25.3% Elapsed: 12:13:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.84456 Generator_loss: 4.11281
[INFO] 2021-01-04 00:28:37 > Step: 25400 Progress: 25.4% Elapsed: 12:16:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.38389 Generator_loss: 4.21548
[INFO] 2021-01-04 00:31:27 > Step: 25500 Progress: 25.5% Elapsed: 12:19:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.99351 Generator_loss: 5.23053
[INFO] 2021-01-04 00:34:21 > Step: 25600 Progress: 25.6% Elapsed: 12:22:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.0441 Generator_loss: 4.90547
[INFO] 2021-01-04 00:37:15 > Step: 25700 Progress: 25.7% Elapsed: 12:24:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.87512 Generator_loss: 4.29742
[INFO] 2021-01-04 00:40:07 > Step: 25800 Progress: 25.8% Elapsed: 12:27:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.18437 Generator_loss: 4.32149
[INFO] 2021-01-04 00:42:58 > Step: 25900 Progress: 25.9% Elapsed: 12:30:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.83674 Generator_loss: 5.15339
[INFO] 2021-01-04 00:45:50 > Step: 26000 Progress: 26.0% Elapsed: 12:33:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.92861 Generator_loss: 3.90691
[INFO] 2021-01-04 00:45:50 > Start Evaluation (26000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 00:45:50 > Calculating FID Score....
[INFO] 2021-01-04 00:46:04 > Calculating Inception Score....
[INFO] 2021-01-04 00:46:07 > Calculate F_beta Score....
[INFO] 2021-01-04 00:46:23 > Calculate Accuracies....
[INFO] 2021-01-04 00:46:26 > Calculate Accuracies....
[INFO] 2021-01-04 00:46:27 > F_8 score (Step: 26000, Using valid images): 0.8934246911952445
[INFO] 2021-01-04 00:46:27 > F_1/8 score (Step: 26000, Using valid images): 0.9783687151338707
[INFO] 2021-01-04 00:46:27 > FID score (Step: 26000, Using valid moments): 26.611749699605525
[INFO] 2021-01-04 00:46:27 > Inception score (Step: 26000, 10000 generated images): 14.209468841552734
[INFO] 2021-01-04 00:46:27 > Best FID score (Step: 26000, Using valid moments): 26.611749699605525
[INFO] 2021-01-04 00:46:41 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 00:49:31 > Step: 26100 Progress: 26.1% Elapsed: 12:37:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.77635 Generator_loss: 5.19765
[INFO] 2021-01-04 00:52:23 > Step: 26200 Progress: 26.2% Elapsed: 12:40:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.79581 Generator_loss: 4.61046
[INFO] 2021-01-04 00:55:15 > Step: 26300 Progress: 26.3% Elapsed: 12:42:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.90822 Generator_loss: 4.79852
[INFO] 2021-01-04 00:58:10 > Step: 26400 Progress: 26.4% Elapsed: 12:45:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.85504 Generator_loss: 3.72271
[INFO] 2021-01-04 01:01:01 > Step: 26500 Progress: 26.5% Elapsed: 12:48:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.26119 Generator_loss: 4.54288
[INFO] 2021-01-04 01:03:49 > Step: 26600 Progress: 26.6% Elapsed: 12:51:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.87149 Generator_loss: 5.28352
[INFO] 2021-01-04 01:06:40 > Step: 26700 Progress: 26.7% Elapsed: 12:54:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.98593 Generator_loss: 5.06574
[INFO] 2021-01-04 01:09:30 > Step: 26800 Progress: 26.8% Elapsed: 12:57:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.91693 Generator_loss: 5.00416
[INFO] 2021-01-04 01:12:21 > Step: 26900 Progress: 26.9% Elapsed: 13:00:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.19039 Generator_loss: 4.86372
[INFO] 2021-01-04 01:15:10 > Step: 27000 Progress: 27.0% Elapsed: 13:02:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.77615 Generator_loss: 4.39088
[INFO] 2021-01-04 01:18:02 > Step: 27100 Progress: 27.1% Elapsed: 13:05:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.77486 Generator_loss: 5.24041
[INFO] 2021-01-04 01:20:55 > Step: 27200 Progress: 27.2% Elapsed: 13:08:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.73644 Generator_loss: 5.03926
[INFO] 2021-01-04 01:23:44 > Step: 27300 Progress: 27.3% Elapsed: 13:11:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.04303 Generator_loss: 4.59846
[INFO] 2021-01-04 01:26:34 > Step: 27400 Progress: 27.4% Elapsed: 13:14:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.00853 Generator_loss: 4.98213
[INFO] 2021-01-04 01:29:27 > Step: 27500 Progress: 27.5% Elapsed: 13:17:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.9464 Generator_loss: 4.96488
[INFO] 2021-01-04 01:32:17 > Step: 27600 Progress: 27.6% Elapsed: 13:19:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.99309 Generator_loss: 5.18831
[INFO] 2021-01-04 01:35:10 > Step: 27700 Progress: 27.7% Elapsed: 13:22:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.07489 Generator_loss: 4.62602
[INFO] 2021-01-04 01:38:03 > Step: 27800 Progress: 27.8% Elapsed: 13:25:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.82676 Generator_loss: 4.79331
[INFO] 2021-01-04 01:40:50 > Step: 27900 Progress: 27.9% Elapsed: 13:28:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.99419 Generator_loss: 4.98117
[INFO] 2021-01-04 01:43:41 > Step: 28000 Progress: 28.0% Elapsed: 13:31:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.96694 Generator_loss: 4.94876
[INFO] 2021-01-04 01:43:41 > Start Evaluation (28000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 01:43:41 > Calculating FID Score....
[INFO] 2021-01-04 01:43:55 > Calculating Inception Score....
[INFO] 2021-01-04 01:43:58 > Calculate F_beta Score....
[INFO] 2021-01-04 01:44:14 > Calculate Accuracies....
[INFO] 2021-01-04 01:44:17 > Calculate Accuracies....
[INFO] 2021-01-04 01:44:18 > F_8 score (Step: 28000, Using valid images): 0.9057959291318524
[INFO] 2021-01-04 01:44:18 > F_1/8 score (Step: 28000, Using valid images): 0.9788229650697776
[INFO] 2021-01-04 01:44:18 > FID score (Step: 28000, Using valid moments): 25.215244035573164
[INFO] 2021-01-04 01:44:18 > Inception score (Step: 28000, 10000 generated images): 14.354519844055176
[INFO] 2021-01-04 01:44:18 > Best FID score (Step: 28000, Using valid moments): 25.215244035573164
[INFO] 2021-01-04 01:44:32 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 01:47:24 > Step: 28100 Progress: 28.1% Elapsed: 13:35:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.05923 Generator_loss: 4.87247
[INFO] 2021-01-04 01:50:13 > Step: 28200 Progress: 28.2% Elapsed: 13:37:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.05662 Generator_loss: 3.73616
[INFO] 2021-01-04 01:53:04 > Step: 28300 Progress: 28.3% Elapsed: 13:40:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.77112 Generator_loss: 5.23895
[INFO] 2021-01-04 01:55:52 > Step: 28400 Progress: 28.4% Elapsed: 13:43:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.81366 Generator_loss: 5.10509
[INFO] 2021-01-04 01:58:42 > Step: 28500 Progress: 28.5% Elapsed: 13:46:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.8828 Generator_loss: 3.81007
[INFO] 2021-01-04 02:01:32 > Step: 28600 Progress: 28.6% Elapsed: 13:49:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.2547 Generator_loss: 4.59935
[INFO] 2021-01-04 02:04:23 > Step: 28700 Progress: 28.7% Elapsed: 13:52:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.79395 Generator_loss: 4.71296
[INFO] 2021-01-04 02:07:15 > Step: 28800 Progress: 28.8% Elapsed: 13:54:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.91696 Generator_loss: 5.33686
[INFO] 2021-01-04 02:10:07 > Step: 28900 Progress: 28.9% Elapsed: 13:57:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.81002 Generator_loss: 5.12807
[INFO] 2021-01-04 02:12:58 > Step: 29000 Progress: 29.0% Elapsed: 14:00:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.83362 Generator_loss: 4.70226
[INFO] 2021-01-04 02:15:47 > Step: 29100 Progress: 29.1% Elapsed: 14:03:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.79337 Generator_loss: 5.15929
[INFO] 2021-01-04 02:18:40 > Step: 29200 Progress: 29.2% Elapsed: 14:06:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.95137 Generator_loss: 5.27385
[INFO] 2021-01-04 02:21:27 > Step: 29300 Progress: 29.3% Elapsed: 14:09:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.80029 Generator_loss: 4.70783
[INFO] 2021-01-04 02:24:18 > Step: 29400 Progress: 29.4% Elapsed: 14:11:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.10262 Generator_loss: 4.46065
[INFO] 2021-01-04 02:27:05 > Step: 29500 Progress: 29.5% Elapsed: 14:14:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.82018 Generator_loss: 4.0615
[INFO] 2021-01-04 02:29:54 > Step: 29600 Progress: 29.6% Elapsed: 14:17:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.7553 Generator_loss: 5.19318
[INFO] 2021-01-04 02:32:43 > Step: 29700 Progress: 29.7% Elapsed: 14:20:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.08847 Generator_loss: 4.06464
[INFO] 2021-01-04 02:35:31 > Step: 29800 Progress: 29.8% Elapsed: 14:23:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.79302 Generator_loss: 5.19599
[INFO] 2021-01-04 02:38:20 > Step: 29900 Progress: 29.9% Elapsed: 14:25:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.99296 Generator_loss: 4.62676
[INFO] 2021-01-04 02:41:08 > Step: 30000 Progress: 30.0% Elapsed: 14:28:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.9013 Generator_loss: 5.21242
[INFO] 2021-01-04 02:41:08 > Start Evaluation (30000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 02:41:08 > Calculating FID Score....
[INFO] 2021-01-04 02:41:21 > Calculating Inception Score....
[INFO] 2021-01-04 02:41:24 > Calculate F_beta Score....
[INFO] 2021-01-04 02:41:42 > Calculate Accuracies....
[INFO] 2021-01-04 02:41:44 > Calculate Accuracies....
[INFO] 2021-01-04 02:41:45 > F_8 score (Step: 30000, Using valid images): 0.9159494354524552
[INFO] 2021-01-04 02:41:46 > F_1/8 score (Step: 30000, Using valid images): 0.978091457211549
[INFO] 2021-01-04 02:41:46 > FID score (Step: 30000, Using valid moments): 24.124912626268156
[INFO] 2021-01-04 02:41:46 > Inception score (Step: 30000, 10000 generated images): 14.858887672424316
[INFO] 2021-01-04 02:41:46 > Best FID score (Step: 30000, Using valid moments): 24.124912626268156
[INFO] 2021-01-04 02:41:59 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 02:44:49 > Step: 30100 Progress: 30.1% Elapsed: 14:32:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.9238 Generator_loss: 4.9625
[INFO] 2021-01-04 02:47:41 > Step: 30200 Progress: 30.2% Elapsed: 14:35:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.21639 Generator_loss: 4.27666
[INFO] 2021-01-04 02:50:32 > Step: 30300 Progress: 30.3% Elapsed: 14:38:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.88256 Generator_loss: 5.35594
[INFO] 2021-01-04 02:53:26 > Step: 30400 Progress: 30.4% Elapsed: 14:41:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.93519 Generator_loss: 4.80257
[INFO] 2021-01-04 02:56:18 > Step: 30500 Progress: 30.5% Elapsed: 14:43:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.10909 Generator_loss: 4.66004
[INFO] 2021-01-04 02:59:11 > Step: 30600 Progress: 30.6% Elapsed: 14:46:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.91948 Generator_loss: 5.43436
[INFO] 2021-01-04 03:02:02 > Step: 30700 Progress: 30.7% Elapsed: 14:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.78161 Generator_loss: 5.20562
[INFO] 2021-01-04 03:04:53 > Step: 30800 Progress: 30.8% Elapsed: 14:52:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.99257 Generator_loss: 4.85526
[INFO] 2021-01-04 03:07:45 > Step: 30900 Progress: 30.9% Elapsed: 14:55:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.91717 Generator_loss: 4.19687
[INFO] 2021-01-04 03:10:39 > Step: 31000 Progress: 31.0% Elapsed: 14:58:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.91592 Generator_loss: 3.7221
[INFO] 2021-01-04 03:13:30 > Step: 31100 Progress: 31.1% Elapsed: 15:01:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.05582 Generator_loss: 3.66615
[INFO] 2021-01-04 03:16:24 > Step: 31200 Progress: 31.2% Elapsed: 15:04:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.86444 Generator_loss: 4.99346
[INFO] 2021-01-04 03:19:18 > Step: 31300 Progress: 31.3% Elapsed: 15:06:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.0246 Generator_loss: 5.32401
[INFO] 2021-01-04 03:22:10 > Step: 31400 Progress: 31.4% Elapsed: 15:09:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.91962 Generator_loss: 3.84845
[INFO] 2021-01-04 03:25:01 > Step: 31500 Progress: 31.5% Elapsed: 15:12:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.151 Generator_loss: 4.98849
[INFO] 2021-01-04 03:27:55 > Step: 31600 Progress: 31.6% Elapsed: 15:15:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.75064 Generator_loss: 5.19176
[INFO] 2021-01-04 03:30:47 > Step: 31700 Progress: 31.7% Elapsed: 15:18:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.77819 Generator_loss: 4.14528
[INFO] 2021-01-04 03:33:36 > Step: 31800 Progress: 31.8% Elapsed: 15:21:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.79568 Generator_loss: 4.53241
[INFO] 2021-01-04 03:36:26 > Step: 31900 Progress: 31.9% Elapsed: 15:24:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.04681 Generator_loss: 5.10143
[INFO] 2021-01-04 03:39:17 > Step: 32000 Progress: 32.0% Elapsed: 15:26:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.05411 Generator_loss: 4.62126
[INFO] 2021-01-04 03:39:17 > Start Evaluation (32000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 03:39:17 > Calculating FID Score....
[INFO] 2021-01-04 03:39:31 > Calculating Inception Score....
[INFO] 2021-01-04 03:39:34 > Calculate F_beta Score....
[INFO] 2021-01-04 03:39:51 > Calculate Accuracies....
[INFO] 2021-01-04 03:39:54 > Calculate Accuracies....
[INFO] 2021-01-04 03:39:55 > F_8 score (Step: 32000, Using valid images): 0.9195150915774237
[INFO] 2021-01-04 03:39:55 > F_1/8 score (Step: 32000, Using valid images): 0.9805234791510679
[INFO] 2021-01-04 03:39:55 > FID score (Step: 32000, Using valid moments): 23.270787259444262
[INFO] 2021-01-04 03:39:55 > Inception score (Step: 32000, 10000 generated images): 14.830945014953613
[INFO] 2021-01-04 03:39:55 > Best FID score (Step: 32000, Using valid moments): 23.270787259444262
[INFO] 2021-01-04 03:40:08 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 03:42:57 > Step: 32100 Progress: 32.1% Elapsed: 15:30:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.90769 Generator_loss: 5.24737
[INFO] 2021-01-04 03:45:48 > Step: 32200 Progress: 32.2% Elapsed: 15:33:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.94998 Generator_loss: 4.89912
[INFO] 2021-01-04 03:48:38 > Step: 32300 Progress: 32.3% Elapsed: 15:36:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.98931 Generator_loss: 4.93533
[INFO] 2021-01-04 03:51:30 > Step: 32400 Progress: 32.4% Elapsed: 15:39:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.75761 Generator_loss: 5.19064
[INFO] 2021-01-04 03:54:22 > Step: 32500 Progress: 32.5% Elapsed: 15:42:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.87855 Generator_loss: 4.23869
[INFO] 2021-01-04 03:57:16 > Step: 32600 Progress: 32.6% Elapsed: 15:44:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.93243 Generator_loss: 3.66571
[INFO] 2021-01-04 04:00:10 > Step: 32700 Progress: 32.7% Elapsed: 15:47:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.92446 Generator_loss: 5.30082
[INFO] 2021-01-04 04:03:01 > Step: 32800 Progress: 32.8% Elapsed: 15:50:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.76929 Generator_loss: 5.2447
[INFO] 2021-01-04 04:05:55 > Step: 32900 Progress: 32.9% Elapsed: 15:53:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.81893 Generator_loss: 3.95012
[INFO] 2021-01-04 04:08:50 > Step: 33000 Progress: 33.0% Elapsed: 15:56:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.99702 Generator_loss: 4.68975
[INFO] 2021-01-04 04:11:41 > Step: 33100 Progress: 33.1% Elapsed: 15:59:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.93054 Generator_loss: 4.75752
[INFO] 2021-01-04 04:14:34 > Step: 33200 Progress: 33.2% Elapsed: 16:02:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.10779 Generator_loss: 5.10056
[INFO] 2021-01-04 04:17:26 > Step: 33300 Progress: 33.3% Elapsed: 16:05:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.03397 Generator_loss: 4.72813
[INFO] 2021-01-04 04:20:18 > Step: 33400 Progress: 33.4% Elapsed: 16:07:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.84681 Generator_loss: 5.30121
[INFO] 2021-01-04 04:23:07 > Step: 33500 Progress: 33.5% Elapsed: 16:10:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.90069 Generator_loss: 5.52058
[INFO] 2021-01-04 04:25:57 > Step: 33600 Progress: 33.6% Elapsed: 16:13:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.81533 Generator_loss: 4.10468
[INFO] 2021-01-04 04:28:48 > Step: 33700 Progress: 33.7% Elapsed: 16:16:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.98952 Generator_loss: 4.96544
[INFO] 2021-01-04 04:31:41 > Step: 33800 Progress: 33.8% Elapsed: 16:19:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.83972 Generator_loss: 5.22457
[INFO] 2021-01-04 04:34:31 > Step: 33900 Progress: 33.9% Elapsed: 16:22:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.91419 Generator_loss: 3.79901
[INFO] 2021-01-04 04:37:18 > Step: 34000 Progress: 34.0% Elapsed: 16:24:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.89638 Generator_loss: 5.22464
[INFO] 2021-01-04 04:37:18 > Start Evaluation (34000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 04:37:18 > Calculating FID Score....
[INFO] 2021-01-04 04:37:31 > Calculating Inception Score....
[INFO] 2021-01-04 04:37:34 > Calculate F_beta Score....
[INFO] 2021-01-04 04:37:52 > Calculate Accuracies....
[INFO] 2021-01-04 04:37:55 > Calculate Accuracies....
[INFO] 2021-01-04 04:37:57 > F_8 score (Step: 34000, Using valid images): 0.9211944358504397
[INFO] 2021-01-04 04:37:57 > F_1/8 score (Step: 34000, Using valid images): 0.9799096219529532
[INFO] 2021-01-04 04:37:57 > FID score (Step: 34000, Using valid moments): 22.86985938787177
[INFO] 2021-01-04 04:37:57 > Inception score (Step: 34000, 10000 generated images): 15.44773006439209
[INFO] 2021-01-04 04:37:57 > Best FID score (Step: 34000, Using valid moments): 22.86985938787177
[INFO] 2021-01-04 04:38:10 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 04:41:02 > Step: 34100 Progress: 34.1% Elapsed: 16:28:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.75831 Generator_loss: 5.2404
[INFO] 2021-01-04 04:43:54 > Step: 34200 Progress: 34.2% Elapsed: 16:31:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.93476 Generator_loss: 4.32296
[INFO] 2021-01-04 04:46:48 > Step: 34300 Progress: 34.3% Elapsed: 16:34:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.88809 Generator_loss: 4.45723
[INFO] 2021-01-04 04:49:39 > Step: 34400 Progress: 34.4% Elapsed: 16:37:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.91257 Generator_loss: 4.09651
[INFO] 2021-01-04 04:52:31 > Step: 34500 Progress: 34.5% Elapsed: 16:40:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.86471 Generator_loss: 5.06828
[INFO] 2021-01-04 04:55:25 > Step: 34600 Progress: 34.6% Elapsed: 16:43:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.769 Generator_loss: 4.61504
[INFO] 2021-01-04 04:58:18 > Step: 34700 Progress: 34.7% Elapsed: 16:45:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.99118 Generator_loss: 5.06433
[INFO] 2021-01-04 05:01:11 > Step: 34800 Progress: 34.8% Elapsed: 16:48:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.84211 Generator_loss: 5.4148
[INFO] 2021-01-04 05:04:04 > Step: 34900 Progress: 34.9% Elapsed: 16:51:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.77756 Generator_loss: 4.71471
[INFO] 2021-01-04 05:06:58 > Step: 35000 Progress: 35.0% Elapsed: 16:54:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.88711 Generator_loss: 3.91128
[INFO] 2021-01-04 05:09:50 > Step: 35100 Progress: 35.1% Elapsed: 16:57:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.80271 Generator_loss: 4.4737
[INFO] 2021-01-04 05:12:45 > Step: 35200 Progress: 35.2% Elapsed: 17:00:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.96165 Generator_loss: 5.35566
[INFO] 2021-01-04 05:15:33 > Step: 35300 Progress: 35.3% Elapsed: 17:03:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.7494 Generator_loss: 4.78609
[INFO] 2021-01-04 05:18:23 > Step: 35400 Progress: 35.4% Elapsed: 17:06:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.88344 Generator_loss: 3.94516
[INFO] 2021-01-04 05:21:11 > Step: 35500 Progress: 35.5% Elapsed: 17:08:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.78513 Generator_loss: 5.21246
[INFO] 2021-01-04 05:24:00 > Step: 35600 Progress: 35.6% Elapsed: 17:11:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.91792 Generator_loss: 5.40763
[INFO] 2021-01-04 05:26:53 > Step: 35700 Progress: 35.7% Elapsed: 17:14:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.31545 Generator_loss: 4.4056
[INFO] 2021-01-04 05:29:45 > Step: 35800 Progress: 35.8% Elapsed: 17:17:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.65134 Generator_loss: 5.39265
[INFO] 2021-01-04 05:32:38 > Step: 35900 Progress: 35.9% Elapsed: 17:20:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.14044 Generator_loss: 4.74043
[INFO] 2021-01-04 05:35:29 > Step: 36000 Progress: 36.0% Elapsed: 17:23:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.80885 Generator_loss: 5.26224
[INFO] 2021-01-04 05:35:29 > Start Evaluation (36000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 05:35:29 > Calculating FID Score....
[INFO] 2021-01-04 05:35:43 > Calculating Inception Score....
[INFO] 2021-01-04 05:35:46 > Calculate F_beta Score....
[INFO] 2021-01-04 05:36:03 > Calculate Accuracies....
[INFO] 2021-01-04 05:36:06 > Calculate Accuracies....
[INFO] 2021-01-04 05:36:07 > F_8 score (Step: 36000, Using valid images): 0.9274813112665417
[INFO] 2021-01-04 05:36:07 > F_1/8 score (Step: 36000, Using valid images): 0.9797853580651039
[INFO] 2021-01-04 05:36:07 > FID score (Step: 36000, Using valid moments): 22.709128780229037
[INFO] 2021-01-04 05:36:07 > Inception score (Step: 36000, 10000 generated images): 15.865052223205566
[INFO] 2021-01-04 05:36:07 > Best FID score (Step: 36000, Using valid moments): 22.709128780229037
[INFO] 2021-01-04 05:36:21 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 05:39:14 > Step: 36100 Progress: 36.1% Elapsed: 17:26:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.94171 Generator_loss: 4.86355
[INFO] 2021-01-04 05:42:06 > Step: 36200 Progress: 36.2% Elapsed: 17:29:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.73821 Generator_loss: 5.17477
[INFO] 2021-01-04 05:45:00 > Step: 36300 Progress: 36.3% Elapsed: 17:32:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.79775 Generator_loss: 3.82153
[INFO] 2021-01-04 05:47:52 > Step: 36400 Progress: 36.4% Elapsed: 17:35:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.99582 Generator_loss: 3.71446
[INFO] 2021-01-04 05:50:45 > Step: 36500 Progress: 36.5% Elapsed: 17:38:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.78181 Generator_loss: 4.3076
[INFO] 2021-01-04 05:53:36 > Step: 36600 Progress: 36.6% Elapsed: 17:41:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.72393 Generator_loss: 5.46427
[INFO] 2021-01-04 05:56:29 > Step: 36700 Progress: 36.7% Elapsed: 17:44:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.75475 Generator_loss: 5.08877
[INFO] 2021-01-04 05:59:20 > Step: 36800 Progress: 36.8% Elapsed: 17:47:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.86558 Generator_loss: 5.31199
[INFO] 2021-01-04 06:02:11 > Step: 36900 Progress: 36.9% Elapsed: 17:49:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.11178 Generator_loss: 4.2639
[INFO] 2021-01-04 06:05:03 > Step: 37000 Progress: 37.0% Elapsed: 17:52:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.68783 Generator_loss: 4.71677
[INFO] 2021-01-04 06:07:57 > Step: 37100 Progress: 37.1% Elapsed: 17:55:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.22162 Generator_loss: 4.64697
[INFO] 2021-01-04 06:10:48 > Step: 37200 Progress: 37.2% Elapsed: 17:58:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.31946 Generator_loss: 4.49687
[INFO] 2021-01-04 06:13:41 > Step: 37300 Progress: 37.3% Elapsed: 18:01:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.69502 Generator_loss: 4.79748
[INFO] 2021-01-04 06:16:33 > Step: 37400 Progress: 37.4% Elapsed: 18:04:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.89778 Generator_loss: 4.94005
[INFO] 2021-01-04 06:19:24 > Step: 37500 Progress: 37.5% Elapsed: 18:07:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.06992 Generator_loss: 4.63647
[INFO] 2021-01-04 06:22:15 > Step: 37600 Progress: 37.6% Elapsed: 18:09:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.68803 Generator_loss: 4.00437
[INFO] 2021-01-04 06:25:08 > Step: 37700 Progress: 37.7% Elapsed: 18:12:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.95714 Generator_loss: 4.79084
[INFO] 2021-01-04 06:28:00 > Step: 37800 Progress: 37.8% Elapsed: 18:15:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.0272 Generator_loss: 4.70721
[INFO] 2021-01-04 06:30:51 > Step: 37900 Progress: 37.9% Elapsed: 18:18:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.8511 Generator_loss: 5.14773
[INFO] 2021-01-04 06:33:42 > Step: 38000 Progress: 38.0% Elapsed: 18:21:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.80799 Generator_loss: 5.15367
[INFO] 2021-01-04 06:33:42 > Start Evaluation (38000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 06:33:42 > Calculating FID Score....
[INFO] 2021-01-04 06:33:57 > Calculating Inception Score....
[INFO] 2021-01-04 06:34:00 > Calculate F_beta Score....
[INFO] 2021-01-04 06:34:17 > Calculate Accuracies....
[INFO] 2021-01-04 06:34:19 > Calculate Accuracies....
[INFO] 2021-01-04 06:34:21 > F_8 score (Step: 38000, Using valid images): 0.9346073171682014
[INFO] 2021-01-04 06:34:21 > F_1/8 score (Step: 38000, Using valid images): 0.9793852996240497
[INFO] 2021-01-04 06:34:21 > FID score (Step: 38000, Using valid moments): 22.533851833913957
[INFO] 2021-01-04 06:34:21 > Inception score (Step: 38000, 10000 generated images): 16.089069366455078
[INFO] 2021-01-04 06:34:21 > Best FID score (Step: 38000, Using valid moments): 22.533851833913957
[INFO] 2021-01-04 06:34:34 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 06:37:25 > Step: 38100 Progress: 38.1% Elapsed: 18:25:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.79226 Generator_loss: 4.16973
[INFO] 2021-01-04 06:40:15 > Step: 38200 Progress: 38.2% Elapsed: 18:27:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.86625 Generator_loss: 5.15074
[INFO] 2021-01-04 06:43:07 > Step: 38300 Progress: 38.3% Elapsed: 18:30:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.90716 Generator_loss: 4.05023
[INFO] 2021-01-04 06:45:57 > Step: 38400 Progress: 38.4% Elapsed: 18:33:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.21374 Generator_loss: 4.67913
[INFO] 2021-01-04 06:48:50 > Step: 38500 Progress: 38.5% Elapsed: 18:36:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.86305 Generator_loss: 5.15187
[INFO] 2021-01-04 06:51:40 > Step: 38600 Progress: 38.6% Elapsed: 18:39:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.83608 Generator_loss: 5.43298
[INFO] 2021-01-04 06:54:32 > Step: 38700 Progress: 38.7% Elapsed: 18:42:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.89606 Generator_loss: 3.72059
[INFO] 2021-01-04 06:57:23 > Step: 38800 Progress: 38.8% Elapsed: 18:45:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.12654 Generator_loss: 4.74697
[INFO] 2021-01-04 07:00:16 > Step: 38900 Progress: 38.9% Elapsed: 18:47:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.78475 Generator_loss: 4.93835
[INFO] 2021-01-04 07:03:04 > Step: 39000 Progress: 39.0% Elapsed: 18:50:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.84908 Generator_loss: 4.19576
[INFO] 2021-01-04 07:05:56 > Step: 39100 Progress: 39.1% Elapsed: 18:53:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.314 Generator_loss: 4.4134
[INFO] 2021-01-04 07:08:45 > Step: 39200 Progress: 39.2% Elapsed: 18:56:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.69829 Generator_loss: 5.17552
[INFO] 2021-01-04 07:11:34 > Step: 39300 Progress: 39.3% Elapsed: 18:59:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.76774 Generator_loss: 3.96794
[INFO] 2021-01-04 07:14:27 > Step: 39400 Progress: 39.4% Elapsed: 19:02:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.06595 Generator_loss: 4.38544
[INFO] 2021-01-04 07:17:17 > Step: 39500 Progress: 39.5% Elapsed: 19:04:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.88678 Generator_loss: 5.19608
[INFO] 2021-01-04 07:20:06 > Step: 39600 Progress: 39.6% Elapsed: 19:07:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.7771 Generator_loss: 5.15732
[INFO] 2021-01-04 07:22:58 > Step: 39700 Progress: 39.7% Elapsed: 19:10:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.68086 Generator_loss: 4.94705
[INFO] 2021-01-04 07:25:49 > Step: 39800 Progress: 39.8% Elapsed: 19:13:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.76062 Generator_loss: 4.81189
[INFO] 2021-01-04 07:28:39 > Step: 39900 Progress: 39.9% Elapsed: 19:16:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.78695 Generator_loss: 5.22504
[INFO] 2021-01-04 07:31:30 > Step: 40000 Progress: 40.0% Elapsed: 19:19:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.04536 Generator_loss: 4.03917
[INFO] 2021-01-04 07:31:30 > Start Evaluation (40000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 07:31:30 > Calculating FID Score....
[INFO] 2021-01-04 07:31:43 > Calculating Inception Score....
[INFO] 2021-01-04 07:31:46 > Calculate F_beta Score....
[INFO] 2021-01-04 07:32:03 > Calculate Accuracies....
[INFO] 2021-01-04 07:32:05 > Calculate Accuracies....
[INFO] 2021-01-04 07:32:07 > F_8 score (Step: 40000, Using valid images): 0.9439221208991879
[INFO] 2021-01-04 07:32:07 > F_1/8 score (Step: 40000, Using valid images): 0.9819860984722611
[INFO] 2021-01-04 07:32:07 > FID score (Step: 40000, Using valid moments): 22.62015078072517
[INFO] 2021-01-04 07:32:07 > Inception score (Step: 40000, 10000 generated images): 15.5962495803833
[INFO] 2021-01-04 07:32:07 > Best FID score (Step: 38000, Using valid moments): 22.533851833913957
[INFO] 2021-01-04 07:32:14 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 07:35:05 > Step: 40100 Progress: 40.1% Elapsed: 19:22:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.19775 Generator_loss: 4.33187
[INFO] 2021-01-04 07:37:57 > Step: 40200 Progress: 40.2% Elapsed: 19:25:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.91704 Generator_loss: 5.29068
[INFO] 2021-01-04 07:40:49 > Step: 40300 Progress: 40.3% Elapsed: 19:28:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.71379 Generator_loss: 4.27446
[INFO] 2021-01-04 07:43:39 > Step: 40400 Progress: 40.4% Elapsed: 19:31:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.06033 Generator_loss: 4.60858
[INFO] 2021-01-04 07:46:28 > Step: 40500 Progress: 40.5% Elapsed: 19:34:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.71814 Generator_loss: 5.12578
[INFO] 2021-01-04 07:49:18 > Step: 40600 Progress: 40.6% Elapsed: 19:36:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.73154 Generator_loss: 5.22885
[INFO] 2021-01-04 07:52:08 > Step: 40700 Progress: 40.7% Elapsed: 19:39:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.80582 Generator_loss: 4.49532
[INFO] 2021-01-04 07:54:58 > Step: 40800 Progress: 40.8% Elapsed: 19:42:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.69933 Generator_loss: 4.60039
[INFO] 2021-01-04 07:57:49 > Step: 40900 Progress: 40.9% Elapsed: 19:45:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.84102 Generator_loss: 3.95304
[INFO] 2021-01-04 08:00:40 > Step: 41000 Progress: 41.0% Elapsed: 19:48:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.01866 Generator_loss: 4.80361
[INFO] 2021-01-04 08:03:31 > Step: 41100 Progress: 41.1% Elapsed: 19:51:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.91153 Generator_loss: 4.84798
[INFO] 2021-01-04 08:06:23 > Step: 41200 Progress: 41.2% Elapsed: 19:54:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.95102 Generator_loss: 4.998
[INFO] 2021-01-04 08:09:14 > Step: 41300 Progress: 41.3% Elapsed: 19:56:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.94354 Generator_loss: 5.12923
[INFO] 2021-01-04 08:12:02 > Step: 41400 Progress: 41.4% Elapsed: 19:59:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.8546 Generator_loss: 5.09351
[INFO] 2021-01-04 08:14:54 > Step: 41500 Progress: 41.5% Elapsed: 20:02:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.70051 Generator_loss: 5.23879
[INFO] 2021-01-04 08:17:46 > Step: 41600 Progress: 41.6% Elapsed: 20:05:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.85435 Generator_loss: 4.30917
[INFO] 2021-01-04 08:20:39 > Step: 41700 Progress: 41.7% Elapsed: 20:08:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.03258 Generator_loss: 4.97575
[INFO] 2021-01-04 08:23:31 > Step: 41800 Progress: 41.8% Elapsed: 20:11:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.90071 Generator_loss: 5.19441
[INFO] 2021-01-04 08:26:20 > Step: 41900 Progress: 41.9% Elapsed: 20:13:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.8682 Generator_loss: 5.019
[INFO] 2021-01-04 08:29:10 > Step: 42000 Progress: 42.0% Elapsed: 20:16:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.90198 Generator_loss: 5.00041
[INFO] 2021-01-04 08:29:10 > Start Evaluation (42000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 08:29:10 > Calculating FID Score....
[INFO] 2021-01-04 08:29:23 > Calculating Inception Score....
[INFO] 2021-01-04 08:29:26 > Calculate F_beta Score....
[INFO] 2021-01-04 08:29:43 > Calculate Accuracies....
[INFO] 2021-01-04 08:29:46 > Calculate Accuracies....
[INFO] 2021-01-04 08:29:47 > F_8 score (Step: 42000, Using valid images): 0.9441973842359257
[INFO] 2021-01-04 08:29:47 > F_1/8 score (Step: 42000, Using valid images): 0.9802786292757988
[INFO] 2021-01-04 08:29:47 > FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 08:29:47 > Inception score (Step: 42000, 10000 generated images): 15.829724311828613
[INFO] 2021-01-04 08:29:47 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 08:30:00 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 08:32:52 > Step: 42100 Progress: 42.1% Elapsed: 20:20:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.01533 Generator_loss: 4.92571
[INFO] 2021-01-04 08:35:42 > Step: 42200 Progress: 42.2% Elapsed: 20:23:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.77962 Generator_loss: 3.81468
[INFO] 2021-01-04 08:38:34 > Step: 42300 Progress: 42.3% Elapsed: 20:26:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.80216 Generator_loss: 4.00125
[INFO] 2021-01-04 08:41:25 > Step: 42400 Progress: 42.4% Elapsed: 20:29:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.78341 Generator_loss: 4.69938
[INFO] 2021-01-04 08:44:16 > Step: 42500 Progress: 42.5% Elapsed: 20:31:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.85585 Generator_loss: 5.26301
[INFO] 2021-01-04 08:47:07 > Step: 42600 Progress: 42.6% Elapsed: 20:34:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.74124 Generator_loss: 4.11472
[INFO] 2021-01-04 08:49:58 > Step: 42700 Progress: 42.7% Elapsed: 20:37:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.90922 Generator_loss: 5.21008
[INFO] 2021-01-04 08:52:49 > Step: 42800 Progress: 42.8% Elapsed: 20:40:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.67159 Generator_loss: 4.29913
[INFO] 2021-01-04 08:55:41 > Step: 42900 Progress: 42.9% Elapsed: 20:43:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.90606 Generator_loss: 5.35779
[INFO] 2021-01-04 08:58:31 > Step: 43000 Progress: 43.0% Elapsed: 20:46:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.70275 Generator_loss: 4.71656
[INFO] 2021-01-04 09:01:23 > Step: 43100 Progress: 43.1% Elapsed: 20:49:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.83628 Generator_loss: 3.91584
[INFO] 2021-01-04 09:04:15 > Step: 43200 Progress: 43.2% Elapsed: 20:51:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.76796 Generator_loss: 5.53349
[INFO] 2021-01-04 09:07:03 > Step: 43300 Progress: 43.3% Elapsed: 20:54:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.89667 Generator_loss: 5.21075
[INFO] 2021-01-04 09:09:50 > Step: 43400 Progress: 43.4% Elapsed: 20:57:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.15107 Generator_loss: 4.64097
[INFO] 2021-01-04 09:12:38 > Step: 43500 Progress: 43.5% Elapsed: 21:00:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.69535 Generator_loss: 4.98607
[INFO] 2021-01-04 09:15:25 > Step: 43600 Progress: 43.6% Elapsed: 21:03:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.95932 Generator_loss: 3.67422
[INFO] 2021-01-04 09:18:12 > Step: 43700 Progress: 43.7% Elapsed: 21:05:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.92173 Generator_loss: 3.87928
[INFO] 2021-01-04 09:21:01 > Step: 43800 Progress: 43.8% Elapsed: 21:08:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.74764 Generator_loss: 4.84092
[INFO] 2021-01-04 09:23:48 > Step: 43900 Progress: 43.9% Elapsed: 21:11:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.7468 Generator_loss: 5.22231
[INFO] 2021-01-04 09:26:37 > Step: 44000 Progress: 44.0% Elapsed: 21:14:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.00269 Generator_loss: 4.87469
[INFO] 2021-01-04 09:26:37 > Start Evaluation (44000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 09:26:37 > Calculating FID Score....
[INFO] 2021-01-04 09:26:51 > Calculating Inception Score....
[INFO] 2021-01-04 09:26:54 > Calculate F_beta Score....
[INFO] 2021-01-04 09:27:11 > Calculate Accuracies....
[INFO] 2021-01-04 09:27:14 > Calculate Accuracies....
[INFO] 2021-01-04 09:27:15 > F_8 score (Step: 44000, Using valid images): 0.9469580840943881
[INFO] 2021-01-04 09:27:15 > F_1/8 score (Step: 44000, Using valid images): 0.9821933803148349
[INFO] 2021-01-04 09:27:15 > FID score (Step: 44000, Using valid moments): 22.279194145304814
[INFO] 2021-01-04 09:27:15 > Inception score (Step: 44000, 10000 generated images): 16.117626190185547
[INFO] 2021-01-04 09:27:15 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 09:27:22 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 09:30:13 > Step: 44100 Progress: 44.1% Elapsed: 21:17:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.71551 Generator_loss: 4.93992
[INFO] 2021-01-04 09:33:05 > Step: 44200 Progress: 44.2% Elapsed: 21:20:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.89225 Generator_loss: 5.13502
[INFO] 2021-01-04 09:35:54 > Step: 44300 Progress: 44.3% Elapsed: 21:23:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.95147 Generator_loss: 5.24334
[INFO] 2021-01-04 09:38:46 > Step: 44400 Progress: 44.4% Elapsed: 21:26:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.69099 Generator_loss: 5.23055
[INFO] 2021-01-04 09:41:38 > Step: 44500 Progress: 44.5% Elapsed: 21:29:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.78365 Generator_loss: 3.78656
[INFO] 2021-01-04 09:44:29 > Step: 44600 Progress: 44.6% Elapsed: 21:32:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.94313 Generator_loss: 4.70285
[INFO] 2021-01-04 09:47:20 > Step: 44700 Progress: 44.7% Elapsed: 21:34:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.77053 Generator_loss: 4.03227
[INFO] 2021-01-04 09:50:10 > Step: 44800 Progress: 44.8% Elapsed: 21:37:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.92756 Generator_loss: 3.79475
[INFO] 2021-01-04 09:52:59 > Step: 44900 Progress: 44.9% Elapsed: 21:40:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.74716 Generator_loss: 5.42413
[INFO] 2021-01-04 09:55:48 > Step: 45000 Progress: 45.0% Elapsed: 21:43:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.69188 Generator_loss: 5.17962
[INFO] 2021-01-04 09:58:38 > Step: 45100 Progress: 45.1% Elapsed: 21:46:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.78773 Generator_loss: 4.01935
[INFO] 2021-01-04 10:01:24 > Step: 45200 Progress: 45.2% Elapsed: 21:49:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.8271 Generator_loss: 5.18453
[INFO] 2021-01-04 10:04:14 > Step: 45300 Progress: 45.3% Elapsed: 21:51:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.77275 Generator_loss: 5.34932
[INFO] 2021-01-04 10:07:02 > Step: 45400 Progress: 45.4% Elapsed: 21:54:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.62245 Generator_loss: 4.43898
[INFO] 2021-01-04 10:09:52 > Step: 45500 Progress: 45.5% Elapsed: 21:57:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.65056 Generator_loss: 4.92723
[INFO] 2021-01-04 10:12:43 > Step: 45600 Progress: 45.6% Elapsed: 22:00:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.12456 Generator_loss: 4.47013
[INFO] 2021-01-04 10:15:31 > Step: 45700 Progress: 45.7% Elapsed: 22:03:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.71796 Generator_loss: 4.47074
[INFO] 2021-01-04 10:18:21 > Step: 45800 Progress: 45.8% Elapsed: 22:06:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.70242 Generator_loss: 4.58622
[INFO] 2021-01-04 10:21:10 > Step: 45900 Progress: 45.9% Elapsed: 22:08:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.81436 Generator_loss: 3.94216
[INFO] 2021-01-04 10:23:58 > Step: 46000 Progress: 46.0% Elapsed: 22:11:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.75848 Generator_loss: 4.21565
[INFO] 2021-01-04 10:23:58 > Start Evaluation (46000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 10:23:58 > Calculating FID Score....
[INFO] 2021-01-04 10:24:12 > Calculating Inception Score....
[INFO] 2021-01-04 10:24:15 > Calculate F_beta Score....
[INFO] 2021-01-04 10:24:31 > Calculate Accuracies....
[INFO] 2021-01-04 10:24:34 > Calculate Accuracies....
[INFO] 2021-01-04 10:24:35 > F_8 score (Step: 46000, Using valid images): 0.9458368378242207
[INFO] 2021-01-04 10:24:35 > F_1/8 score (Step: 46000, Using valid images): 0.9787583949109054
[INFO] 2021-01-04 10:24:35 > FID score (Step: 46000, Using valid moments): 21.961532533817945
[INFO] 2021-01-04 10:24:35 > Inception score (Step: 46000, 10000 generated images): 16.16314125061035
[INFO] 2021-01-04 10:24:35 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 10:24:42 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 10:27:30 > Step: 46100 Progress: 46.1% Elapsed: 22:15:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.12059 Generator_loss: 4.56875
[INFO] 2021-01-04 10:30:18 > Step: 46200 Progress: 46.2% Elapsed: 22:17:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.87186 Generator_loss: 5.00915
[INFO] 2021-01-04 10:33:07 > Step: 46300 Progress: 46.3% Elapsed: 22:20:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.74668 Generator_loss: 4.2102
[INFO] 2021-01-04 10:35:55 > Step: 46400 Progress: 46.4% Elapsed: 22:23:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.73078 Generator_loss: 5.2914
[INFO] 2021-01-04 10:38:46 > Step: 46500 Progress: 46.5% Elapsed: 22:26:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.87387 Generator_loss: 5.21145
[INFO] 2021-01-04 10:41:35 > Step: 46600 Progress: 46.6% Elapsed: 22:29:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.76231 Generator_loss: 3.81682
[INFO] 2021-01-04 10:44:23 > Step: 46700 Progress: 46.7% Elapsed: 22:32:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.77409 Generator_loss: 5.17829
[INFO] 2021-01-04 10:47:15 > Step: 46800 Progress: 46.8% Elapsed: 22:34:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.21086 Generator_loss: 4.49677
[INFO] 2021-01-04 10:50:03 > Step: 46900 Progress: 46.9% Elapsed: 22:37:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.66624 Generator_loss: 4.80126
[INFO] 2021-01-04 10:52:51 > Step: 47000 Progress: 47.0% Elapsed: 22:40:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.76917 Generator_loss: 4.58169
[INFO] 2021-01-04 10:55:40 > Step: 47100 Progress: 47.1% Elapsed: 22:43:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.71328 Generator_loss: 4.21893
[INFO] 2021-01-04 10:58:30 > Step: 47200 Progress: 47.2% Elapsed: 22:46:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.89928 Generator_loss: 5.24032
[INFO] 2021-01-04 11:01:18 > Step: 47300 Progress: 47.3% Elapsed: 22:48:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.76295 Generator_loss: 4.3644
[INFO] 2021-01-04 11:04:09 > Step: 47400 Progress: 47.4% Elapsed: 22:51:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.78616 Generator_loss: 4.04615
[INFO] 2021-01-04 11:06:57 > Step: 47500 Progress: 47.5% Elapsed: 22:54:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.76125 Generator_loss: 5.19111
[INFO] 2021-01-04 11:09:45 > Step: 47600 Progress: 47.6% Elapsed: 22:57:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.84595 Generator_loss: 3.82652
[INFO] 2021-01-04 11:12:35 > Step: 47700 Progress: 47.7% Elapsed: 23:00:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.7839 Generator_loss: 3.90142
[INFO] 2021-01-04 11:15:23 > Step: 47800 Progress: 47.8% Elapsed: 23:03:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.95781 Generator_loss: 5.49107
[INFO] 2021-01-04 11:18:13 > Step: 47900 Progress: 47.9% Elapsed: 23:05:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.83582 Generator_loss: 4.97132
[INFO] 2021-01-04 11:21:04 > Step: 48000 Progress: 48.0% Elapsed: 23:08:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.68378 Generator_loss: 5.00048
[INFO] 2021-01-04 11:21:04 > Start Evaluation (48000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 11:21:04 > Calculating FID Score....
[INFO] 2021-01-04 11:21:18 > Calculating Inception Score....
[INFO] 2021-01-04 11:21:21 > Calculate F_beta Score....
[INFO] 2021-01-04 11:21:37 > Calculate Accuracies....
[INFO] 2021-01-04 11:21:40 > Calculate Accuracies....
[INFO] 2021-01-04 11:21:41 > F_8 score (Step: 48000, Using valid images): 0.94984460517484
[INFO] 2021-01-04 11:21:41 > F_1/8 score (Step: 48000, Using valid images): 0.9805840007076215
[INFO] 2021-01-04 11:21:41 > FID score (Step: 48000, Using valid moments): 22.10565104716443
[INFO] 2021-01-04 11:21:41 > Inception score (Step: 48000, 10000 generated images): 15.984935760498047
[INFO] 2021-01-04 11:21:41 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 11:21:49 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 11:24:40 > Step: 48100 Progress: 48.1% Elapsed: 23:12:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.71813 Generator_loss: 4.16741
[INFO] 2021-01-04 11:27:30 > Step: 48200 Progress: 48.2% Elapsed: 23:15:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.84771 Generator_loss: 5.14585
[INFO] 2021-01-04 11:30:21 > Step: 48300 Progress: 48.3% Elapsed: 23:18:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.98554 Generator_loss: 4.76746
[INFO] 2021-01-04 11:33:09 > Step: 48400 Progress: 48.4% Elapsed: 23:20:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.66049 Generator_loss: 5.10203
[INFO] 2021-01-04 11:35:59 > Step: 48500 Progress: 48.5% Elapsed: 23:23:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.66797 Generator_loss: 4.45164
[INFO] 2021-01-04 11:38:52 > Step: 48600 Progress: 48.6% Elapsed: 23:26:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.01781 Generator_loss: 4.73724
[INFO] 2021-01-04 11:41:42 > Step: 48700 Progress: 48.7% Elapsed: 23:29:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.87689 Generator_loss: 5.05435
[INFO] 2021-01-04 11:44:32 > Step: 48800 Progress: 48.8% Elapsed: 23:32:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.80899 Generator_loss: 4.27456
[INFO] 2021-01-04 11:47:24 > Step: 48900 Progress: 48.9% Elapsed: 23:35:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.81196 Generator_loss: 5.10786
[INFO] 2021-01-04 11:50:15 > Step: 49000 Progress: 49.0% Elapsed: 23:37:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.78733 Generator_loss: 5.11145
[INFO] 2021-01-04 11:53:05 > Step: 49100 Progress: 49.1% Elapsed: 23:40:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.65978 Generator_loss: 4.68456
[INFO] 2021-01-04 11:55:56 > Step: 49200 Progress: 49.2% Elapsed: 23:43:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.0673 Generator_loss: 4.68324
[INFO] 2021-01-04 11:58:45 > Step: 49300 Progress: 49.3% Elapsed: 23:46:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.91199 Generator_loss: 5.04827
[INFO] 2021-01-04 12:01:37 > Step: 49400 Progress: 49.4% Elapsed: 23:49:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.96484 Generator_loss: 4.597
[INFO] 2021-01-04 12:04:29 > Step: 49500 Progress: 49.5% Elapsed: 23:52:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.91851 Generator_loss: 3.87646
[INFO] 2021-01-04 12:07:19 > Step: 49600 Progress: 49.6% Elapsed: 23:54:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.23602 Generator_loss: 4.41551
[INFO] 2021-01-04 12:10:11 > Step: 49700 Progress: 49.7% Elapsed: 23:57:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.12206 Generator_loss: 4.57369
[INFO] 2021-01-04 12:12:59 > Step: 49800 Progress: 49.8% Elapsed: 1 day, 0:00:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.70825 Generator_loss: 4.44948
[INFO] 2021-01-04 12:15:49 > Step: 49900 Progress: 49.9% Elapsed: 1 day, 0:03:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.08185 Generator_loss: 4.75137
[INFO] 2021-01-04 12:18:39 > Step: 50000 Progress: 50.0% Elapsed: 1 day, 0:06:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.69996 Generator_loss: 4.11851
[INFO] 2021-01-04 12:18:39 > Start Evaluation (50000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 12:18:39 > Calculating FID Score....
[INFO] 2021-01-04 12:18:53 > Calculating Inception Score....
[INFO] 2021-01-04 12:18:56 > Calculate F_beta Score....
[INFO] 2021-01-04 12:19:14 > Calculate Accuracies....
[INFO] 2021-01-04 12:19:16 > Calculate Accuracies....
[INFO] 2021-01-04 12:19:18 > F_8 score (Step: 50000, Using valid images): 0.9480677300981798
[INFO] 2021-01-04 12:19:18 > F_1/8 score (Step: 50000, Using valid images): 0.9759141692484056
[INFO] 2021-01-04 12:19:18 > FID score (Step: 50000, Using valid moments): 22.074991333698676
[INFO] 2021-01-04 12:19:18 > Inception score (Step: 50000, 10000 generated images): 16.50278663635254
[INFO] 2021-01-04 12:19:18 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 12:19:25 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 12:22:16 > Step: 50100 Progress: 50.1% Elapsed: 1 day, 0:09:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.84665 Generator_loss: 5.13173
[INFO] 2021-01-04 12:25:06 > Step: 50200 Progress: 50.2% Elapsed: 1 day, 0:12:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.7423 Generator_loss: 5.42729
[INFO] 2021-01-04 12:27:56 > Step: 50300 Progress: 50.3% Elapsed: 1 day, 0:15:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.14093 Generator_loss: 4.61821
[INFO] 2021-01-04 12:30:46 > Step: 50400 Progress: 50.4% Elapsed: 1 day, 0:18:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.71108 Generator_loss: 4.22004
[INFO] 2021-01-04 12:33:36 > Step: 50500 Progress: 50.5% Elapsed: 1 day, 0:21:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.8837 Generator_loss: 5.17635
[INFO] 2021-01-04 12:36:26 > Step: 50600 Progress: 50.6% Elapsed: 1 day, 0:24:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.83407 Generator_loss: 5.12183
[INFO] 2021-01-04 12:39:16 > Step: 50700 Progress: 50.7% Elapsed: 1 day, 0:26:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.68101 Generator_loss: 4.82753
[INFO] 2021-01-04 12:42:06 > Step: 50800 Progress: 50.8% Elapsed: 1 day, 0:29:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.65819 Generator_loss: 4.67781
[INFO] 2021-01-04 12:44:55 > Step: 50900 Progress: 50.9% Elapsed: 1 day, 0:32:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.84873 Generator_loss: 5.04355
[INFO] 2021-01-04 12:47:47 > Step: 51000 Progress: 51.0% Elapsed: 1 day, 0:35:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.68342 Generator_loss: 5.21696
[INFO] 2021-01-04 12:50:36 > Step: 51100 Progress: 51.1% Elapsed: 1 day, 0:38:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.66549 Generator_loss: 4.40009
[INFO] 2021-01-04 12:53:27 > Step: 51200 Progress: 51.2% Elapsed: 1 day, 0:41:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.01867 Generator_loss: 5.02034
[INFO] 2021-01-04 12:56:18 > Step: 51300 Progress: 51.3% Elapsed: 1 day, 0:43:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.92698 Generator_loss: 5.18303
[INFO] 2021-01-04 12:59:09 > Step: 51400 Progress: 51.4% Elapsed: 1 day, 0:46:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.744 Generator_loss: 5.35359
[INFO] 2021-01-04 13:02:00 > Step: 51500 Progress: 51.5% Elapsed: 1 day, 0:49:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.8236 Generator_loss: 3.81915
[INFO] 2021-01-04 13:04:51 > Step: 51600 Progress: 51.6% Elapsed: 1 day, 0:52:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.79425 Generator_loss: 4.17925
[INFO] 2021-01-04 13:07:41 > Step: 51700 Progress: 51.7% Elapsed: 1 day, 0:55:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.85101 Generator_loss: 3.73782
[INFO] 2021-01-04 13:10:32 > Step: 51800 Progress: 51.8% Elapsed: 1 day, 0:58:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.67932 Generator_loss: 5.24567
[INFO] 2021-01-04 13:13:22 > Step: 51900 Progress: 51.9% Elapsed: 1 day, 1:01:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.72299 Generator_loss: 4.38802
[INFO] 2021-01-04 13:16:12 > Step: 52000 Progress: 52.0% Elapsed: 1 day, 1:03:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.72872 Generator_loss: 4.00074
[INFO] 2021-01-04 13:16:12 > Start Evaluation (52000 Step): ICRGAN(C)-train-2021_01_03_12_11_56
[INFO] 2021-01-04 13:16:12 > Calculating FID Score....
[INFO] 2021-01-04 13:16:26 > Calculating Inception Score....
[INFO] 2021-01-04 13:16:29 > Calculate F_beta Score....
[INFO] 2021-01-04 13:16:47 > Calculate Accuracies....
[INFO] 2021-01-04 13:16:49 > Calculate Accuracies....
[INFO] 2021-01-04 13:16:51 > F_8 score (Step: 52000, Using valid images): 0.9417679924718281
[INFO] 2021-01-04 13:16:51 > F_1/8 score (Step: 52000, Using valid images): 0.9809515981781807
[INFO] 2021-01-04 13:16:51 > FID score (Step: 52000, Using valid moments): 22.717282411948645
[INFO] 2021-01-04 13:16:51 > Inception score (Step: 52000, 10000 generated images): 16.595346450805664
[INFO] 2021-01-04 13:16:51 > Best FID score (Step: 42000, Using valid moments): 21.940317870899662
[INFO] 2021-01-04 13:16:58 > Save model to checkpoints/ICRGAN(C)-train-2021_01_03_12_11_56