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GGAN-train-2021_01_01_08_13_58.log
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GGAN-train-2021_01_01_08_13_58.log
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[INFO] 2021-01-01 08:13:58 > Run name : GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 08:13:58 > {'config_path': './src/configs/TINY_ILSVRC2012/GGAN.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-01 08:13:58 > {'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': 'resnet', 'conditional_strategy': 'no', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': False, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}}
[INFO] 2021-01-01 08:13:58 > Load train datasets...
[INFO] 2021-01-01 08:14:04 > Train dataset size : 100000
[INFO] 2021-01-01 08:14:04 > Load valid datasets...
[INFO] 2021-01-01 08:14:04 > Eval dataset size : 10000
[INFO] 2021-01-01 08:14:04 > Build model...
[INFO] 2021-01-01 08:14:04 > Modules are located on models.resnet.
[INFO] 2021-01-01 08:14:09 > Number of parameters: 12220675
[INFO] 2021-01-01 08:14:09 > Generator(
(linear0): Linear(in_features=128, out_features=16384, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1024, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-01 08:14:09 > Number of parameters: 19550535
[INFO] 2021-01-01 08:14:09 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(3, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn0): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn2): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=1024, out_features=1, bias=True)
)
[INFO] 2021-01-01 08:14:13 > Start training....
[INFO] 2021-01-01 08:15:12 > Step: 100 Progress: 0.1% Elapsed: 0:00:59 temperature: no ada_p: No Discriminator_loss: 1.7533 Generator_loss: 2.56902
[INFO] 2021-01-01 08:16:07 > Step: 200 Progress: 0.2% Elapsed: 0:01:53 temperature: no ada_p: No Discriminator_loss: 0.390826 Generator_loss: 3.3112
[INFO] 2021-01-01 08:17:02 > Step: 300 Progress: 0.3% Elapsed: 0:02:48 temperature: no ada_p: No Discriminator_loss: 0.297788 Generator_loss: 1.63178
[INFO] 2021-01-01 08:17:57 > Step: 400 Progress: 0.4% Elapsed: 0:03:44 temperature: no ada_p: No Discriminator_loss: 1.37923 Generator_loss: 2.4677
[INFO] 2021-01-01 08:18:52 > Step: 500 Progress: 0.5% Elapsed: 0:04:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.73432
[INFO] 2021-01-01 08:19:47 > Step: 600 Progress: 0.6% Elapsed: 0:05:34 temperature: no ada_p: No Discriminator_loss: 0.00201427 Generator_loss: 1.71662
[INFO] 2021-01-01 08:20:42 > Step: 700 Progress: 0.7% Elapsed: 0:06:29 temperature: no ada_p: No Discriminator_loss: 0.00107869 Generator_loss: 3.36931
[INFO] 2021-01-01 08:21:38 > Step: 800 Progress: 0.8% Elapsed: 0:07:24 temperature: no ada_p: No Discriminator_loss: 0.21714 Generator_loss: 5.21157
[INFO] 2021-01-01 08:22:33 > Step: 900 Progress: 0.9% Elapsed: 0:08:20 temperature: no ada_p: No Discriminator_loss: 0.0169563 Generator_loss: 1.59716
[INFO] 2021-01-01 08:23:28 > Step: 1000 Progress: 1.0% Elapsed: 0:09:15 temperature: no ada_p: No Discriminator_loss: 0.695564 Generator_loss: 1.20934
[INFO] 2021-01-01 08:24:23 > Step: 1100 Progress: 1.1% Elapsed: 0:10:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.7197
[INFO] 2021-01-01 08:25:18 > Step: 1200 Progress: 1.2% Elapsed: 0:11:05 temperature: no ada_p: No Discriminator_loss: 0.000397823 Generator_loss: 2.42552
[INFO] 2021-01-01 08:26:13 > Step: 1300 Progress: 1.3% Elapsed: 0:12:00 temperature: no ada_p: No Discriminator_loss: 1.46336 Generator_loss: 0.583406
[INFO] 2021-01-01 08:27:08 > Step: 1400 Progress: 1.4% Elapsed: 0:12:55 temperature: no ada_p: No Discriminator_loss: 0.357849 Generator_loss: 2.44437
[INFO] 2021-01-01 08:28:03 > Step: 1500 Progress: 1.5% Elapsed: 0:13:50 temperature: no ada_p: No Discriminator_loss: 1.60735 Generator_loss: -1.17791
[INFO] 2021-01-01 08:28:59 > Step: 1600 Progress: 1.6% Elapsed: 0:14:46 temperature: no ada_p: No Discriminator_loss: 0.211644 Generator_loss: 1.60918
[INFO] 2021-01-01 08:29:54 > Step: 1700 Progress: 1.7% Elapsed: 0:15:41 temperature: no ada_p: No Discriminator_loss: 0.738163 Generator_loss: 2.31517
[INFO] 2021-01-01 08:30:49 > Step: 1800 Progress: 1.8% Elapsed: 0:16:36 temperature: no ada_p: No Discriminator_loss: 2.05047 Generator_loss: 0.716568
[INFO] 2021-01-01 08:31:44 > Step: 1900 Progress: 1.9% Elapsed: 0:17:31 temperature: no ada_p: No Discriminator_loss: 0.453508 Generator_loss: 1.14808
[INFO] 2021-01-01 08:32:40 > Step: 2000 Progress: 2.0% Elapsed: 0:18:27 temperature: no ada_p: No Discriminator_loss: 0.734791 Generator_loss: 0.236068
[INFO] 2021-01-01 08:32:40 > Start Evaluation (2000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 08:32:40 > Calculating FID Score....
[INFO] 2021-01-01 08:33:07 > Calculating Inception Score....
[INFO] 2021-01-01 08:33:22 > Calculate F_beta Score....
[INFO] 2021-01-01 08:34:07 > Calculate Accuracies....
[INFO] 2021-01-01 08:34:13 > Calculate Accuracies....
[INFO] 2021-01-01 08:34:15 > F_8 score (Step: 2000, Using valid images): 0.005361075343299522
[INFO] 2021-01-01 08:34:15 > F_1/8 score (Step: 2000, Using valid images): 0.02605245520064056
[INFO] 2021-01-01 08:34:15 > FID score (Step: 2000, Using valid moments): 231.28446997513424
[INFO] 2021-01-01 08:34:15 > Inception score (Step: 2000, 10000 generated images): 2.319535493850708
[INFO] 2021-01-01 08:34:15 > Best FID score (Step: 2000, Using valid moments): 231.28446997513424
[INFO] 2021-01-01 08:34:17 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 08:35:12 > Step: 2100 Progress: 2.1% Elapsed: 0:20:59 temperature: no ada_p: No Discriminator_loss: 2.27327 Generator_loss: 1.21299
[INFO] 2021-01-01 08:36:07 > Step: 2200 Progress: 2.2% Elapsed: 0:21:54 temperature: no ada_p: No Discriminator_loss: 0.843476 Generator_loss: 0.420573
[INFO] 2021-01-01 08:37:02 > Step: 2300 Progress: 2.3% Elapsed: 0:22:49 temperature: no ada_p: No Discriminator_loss: 1.12486 Generator_loss: 0.941148
[INFO] 2021-01-01 08:37:58 > Step: 2400 Progress: 2.4% Elapsed: 0:23:45 temperature: no ada_p: No Discriminator_loss: 1.22565 Generator_loss: 0.974726
[INFO] 2021-01-01 08:38:53 > Step: 2500 Progress: 2.5% Elapsed: 0:24:40 temperature: no ada_p: No Discriminator_loss: 1.25187 Generator_loss: 2.22027
[INFO] 2021-01-01 08:39:48 > Step: 2600 Progress: 2.6% Elapsed: 0:25:35 temperature: no ada_p: No Discriminator_loss: 1.55988 Generator_loss: 2.95253
[INFO] 2021-01-01 08:40:43 > Step: 2700 Progress: 2.7% Elapsed: 0:26:30 temperature: no ada_p: No Discriminator_loss: 0.499155 Generator_loss: 1.03841
[INFO] 2021-01-01 08:41:39 > Step: 2800 Progress: 2.8% Elapsed: 0:27:26 temperature: no ada_p: No Discriminator_loss: 1.0062 Generator_loss: 0.701515
[INFO] 2021-01-01 08:42:34 > Step: 2900 Progress: 2.9% Elapsed: 0:28:21 temperature: no ada_p: No Discriminator_loss: 1.74732 Generator_loss: 2.97665
[INFO] 2021-01-01 08:43:29 > Step: 3000 Progress: 3.0% Elapsed: 0:29:16 temperature: no ada_p: No Discriminator_loss: 0.864153 Generator_loss: 2.34954
[INFO] 2021-01-01 08:44:24 > Step: 3100 Progress: 3.1% Elapsed: 0:30:11 temperature: no ada_p: No Discriminator_loss: 0.470008 Generator_loss: 1.28754
[INFO] 2021-01-01 08:45:20 > Step: 3200 Progress: 3.2% Elapsed: 0:31:07 temperature: no ada_p: No Discriminator_loss: 0.144899 Generator_loss: 1.26567
[INFO] 2021-01-01 08:46:15 > Step: 3300 Progress: 3.3% Elapsed: 0:32:02 temperature: no ada_p: No Discriminator_loss: 0.405498 Generator_loss: 0.959672
[INFO] 2021-01-01 08:47:10 > Step: 3400 Progress: 3.4% Elapsed: 0:32:57 temperature: no ada_p: No Discriminator_loss: 1.17039 Generator_loss: 1.25833
[INFO] 2021-01-01 08:48:05 > Step: 3500 Progress: 3.5% Elapsed: 0:33:52 temperature: no ada_p: No Discriminator_loss: 1.15698 Generator_loss: 0.372304
[INFO] 2021-01-01 08:49:01 > Step: 3600 Progress: 3.6% Elapsed: 0:34:48 temperature: no ada_p: No Discriminator_loss: 1.0371 Generator_loss: 0.381166
[INFO] 2021-01-01 08:49:56 > Step: 3700 Progress: 3.7% Elapsed: 0:35:43 temperature: no ada_p: No Discriminator_loss: 0.787245 Generator_loss: 0.425863
[INFO] 2021-01-01 08:50:51 > Step: 3800 Progress: 3.8% Elapsed: 0:36:38 temperature: no ada_p: No Discriminator_loss: 0.495772 Generator_loss: 0.83897
[INFO] 2021-01-01 08:51:46 > Step: 3900 Progress: 3.9% Elapsed: 0:37:33 temperature: no ada_p: No Discriminator_loss: 0.0610052 Generator_loss: 3.19639
[INFO] 2021-01-01 08:52:42 > Step: 4000 Progress: 4.0% Elapsed: 0:38:29 temperature: no ada_p: No Discriminator_loss: 1.25337 Generator_loss: 0.374137
[INFO] 2021-01-01 08:52:42 > Start Evaluation (4000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 08:52:42 > Calculating FID Score....
[INFO] 2021-01-01 08:53:07 > Calculating Inception Score....
[INFO] 2021-01-01 08:53:22 > Calculate F_beta Score....
[INFO] 2021-01-01 08:54:07 > Calculate Accuracies....
[INFO] 2021-01-01 08:54:13 > Calculate Accuracies....
[INFO] 2021-01-01 08:54:15 > F_8 score (Step: 4000, Using valid images): 0.3758178329594538
[INFO] 2021-01-01 08:54:15 > F_1/8 score (Step: 4000, Using valid images): 0.48648168266014813
[INFO] 2021-01-01 08:54:15 > FID score (Step: 4000, Using valid moments): 103.3662816732878
[INFO] 2021-01-01 08:54:15 > Inception score (Step: 4000, 10000 generated images): 5.538104057312012
[INFO] 2021-01-01 08:54:15 > Best FID score (Step: 4000, Using valid moments): 103.3662816732878
[INFO] 2021-01-01 08:54:17 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 08:55:12 > Step: 4100 Progress: 4.1% Elapsed: 0:40:59 temperature: no ada_p: No Discriminator_loss: 0.464366 Generator_loss: 1.32095
[INFO] 2021-01-01 08:56:07 > Step: 4200 Progress: 4.2% Elapsed: 0:41:54 temperature: no ada_p: No Discriminator_loss: 0.597019 Generator_loss: 2.7992
[INFO] 2021-01-01 08:57:03 > Step: 4300 Progress: 4.3% Elapsed: 0:42:49 temperature: no ada_p: No Discriminator_loss: 1.29003 Generator_loss: 4.02134
[INFO] 2021-01-01 08:57:58 > Step: 4400 Progress: 4.4% Elapsed: 0:43:44 temperature: no ada_p: No Discriminator_loss: 0.586389 Generator_loss: 3.77223
[INFO] 2021-01-01 08:58:53 > Step: 4500 Progress: 4.5% Elapsed: 0:44:39 temperature: no ada_p: No Discriminator_loss: 0.560181 Generator_loss: 2.66765
[INFO] 2021-01-01 08:59:48 > Step: 4600 Progress: 4.6% Elapsed: 0:45:35 temperature: no ada_p: No Discriminator_loss: 1.45098 Generator_loss: 3.36445
[INFO] 2021-01-01 09:00:43 > Step: 4700 Progress: 4.7% Elapsed: 0:46:30 temperature: no ada_p: No Discriminator_loss: 1.56182 Generator_loss: 2.83437
[INFO] 2021-01-01 09:01:39 > Step: 4800 Progress: 4.8% Elapsed: 0:47:25 temperature: no ada_p: No Discriminator_loss: 0.0114554 Generator_loss: 3.12481
[INFO] 2021-01-01 09:02:34 > Step: 4900 Progress: 4.9% Elapsed: 0:48:20 temperature: no ada_p: No Discriminator_loss: 1.33546 Generator_loss: 3.59617
[INFO] 2021-01-01 09:03:29 > Step: 5000 Progress: 5.0% Elapsed: 0:49:15 temperature: no ada_p: No Discriminator_loss: 0.0186386 Generator_loss: 1.60725
[INFO] 2021-01-01 09:04:24 > Step: 5100 Progress: 5.1% Elapsed: 0:50:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.60149
[INFO] 2021-01-01 09:05:20 > Step: 5200 Progress: 5.2% Elapsed: 0:51:06 temperature: no ada_p: No Discriminator_loss: 0.10657 Generator_loss: 1.97533
[INFO] 2021-01-01 09:06:15 > Step: 5300 Progress: 5.3% Elapsed: 0:52:01 temperature: no ada_p: No Discriminator_loss: 0.0800952 Generator_loss: 2.59135
[INFO] 2021-01-01 09:07:10 > Step: 5400 Progress: 5.4% Elapsed: 0:52:56 temperature: no ada_p: No Discriminator_loss: 0.390406 Generator_loss: 1.81495
[INFO] 2021-01-01 09:08:05 > Step: 5500 Progress: 5.5% Elapsed: 0:53:52 temperature: no ada_p: No Discriminator_loss: 1.28691 Generator_loss: 3.93729
[INFO] 2021-01-01 09:09:00 > Step: 5600 Progress: 5.6% Elapsed: 0:54:47 temperature: no ada_p: No Discriminator_loss: 2.39372 Generator_loss: 4.13299
[INFO] 2021-01-01 09:09:56 > Step: 5700 Progress: 5.7% Elapsed: 0:55:42 temperature: no ada_p: No Discriminator_loss: 0.502402 Generator_loss: 2.92448
[INFO] 2021-01-01 09:10:51 > Step: 5800 Progress: 5.8% Elapsed: 0:56:37 temperature: no ada_p: No Discriminator_loss: 2.84294 Generator_loss: 1.82005
[INFO] 2021-01-01 09:11:46 > Step: 5900 Progress: 5.9% Elapsed: 0:57:33 temperature: no ada_p: No Discriminator_loss: 0.256601 Generator_loss: 1.48385
[INFO] 2021-01-01 09:12:41 > Step: 6000 Progress: 6.0% Elapsed: 0:58:28 temperature: no ada_p: No Discriminator_loss: 0.0425995 Generator_loss: 2.52796
[INFO] 2021-01-01 09:12:41 > Start Evaluation (6000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:12:41 > Calculating FID Score....
[INFO] 2021-01-01 09:13:06 > Calculating Inception Score....
[INFO] 2021-01-01 09:13:21 > Calculate F_beta Score....
[INFO] 2021-01-01 09:14:06 > Calculate Accuracies....
[INFO] 2021-01-01 09:14:12 > Calculate Accuracies....
[INFO] 2021-01-01 09:14:14 > F_8 score (Step: 6000, Using valid images): 0.3073588828318313
[INFO] 2021-01-01 09:14:14 > F_1/8 score (Step: 6000, Using valid images): 0.5032470808686663
[INFO] 2021-01-01 09:14:14 > FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 09:14:14 > Inception score (Step: 6000, 10000 generated images): 5.14585018157959
[INFO] 2021-01-01 09:14:14 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 09:14:16 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:15:11 > Step: 6100 Progress: 6.1% Elapsed: 1:00:58 temperature: no ada_p: No Discriminator_loss: 0.669718 Generator_loss: 5.80846
[INFO] 2021-01-01 09:16:06 > Step: 6200 Progress: 6.2% Elapsed: 1:01:53 temperature: no ada_p: No Discriminator_loss: 1.00054 Generator_loss: 4.07081
[INFO] 2021-01-01 09:17:02 > Step: 6300 Progress: 6.3% Elapsed: 1:02:48 temperature: no ada_p: No Discriminator_loss: 0.161593 Generator_loss: 2.93007
[INFO] 2021-01-01 09:17:57 > Step: 6400 Progress: 6.4% Elapsed: 1:03:44 temperature: no ada_p: No Discriminator_loss: 0.698827 Generator_loss: 1.65788
[INFO] 2021-01-01 09:18:52 > Step: 6500 Progress: 6.5% Elapsed: 1:04:39 temperature: no ada_p: No Discriminator_loss: 0.0227919 Generator_loss: 3.61695
[INFO] 2021-01-01 09:19:47 > Step: 6600 Progress: 6.6% Elapsed: 1:05:34 temperature: no ada_p: No Discriminator_loss: 0.456732 Generator_loss: 1.40032
[INFO] 2021-01-01 09:20:43 > Step: 6700 Progress: 6.7% Elapsed: 1:06:29 temperature: no ada_p: No Discriminator_loss: 0.071064 Generator_loss: 2.14812
[INFO] 2021-01-01 09:21:38 > Step: 6800 Progress: 6.8% Elapsed: 1:07:24 temperature: no ada_p: No Discriminator_loss: 0.00454691 Generator_loss: 2.42859
[INFO] 2021-01-01 09:22:33 > Step: 6900 Progress: 6.9% Elapsed: 1:08:19 temperature: no ada_p: No Discriminator_loss: 0.0865557 Generator_loss: 2.05881
[INFO] 2021-01-01 09:23:28 > Step: 7000 Progress: 7.0% Elapsed: 1:09:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.32015
[INFO] 2021-01-01 09:24:23 > Step: 7100 Progress: 7.1% Elapsed: 1:10:10 temperature: no ada_p: No Discriminator_loss: 0.255959 Generator_loss: 3.49757
[INFO] 2021-01-01 09:25:18 > Step: 7200 Progress: 7.2% Elapsed: 1:11:05 temperature: no ada_p: No Discriminator_loss: 0.00668254 Generator_loss: 2.14151
[INFO] 2021-01-01 09:26:13 > Step: 7300 Progress: 7.3% Elapsed: 1:12:00 temperature: no ada_p: No Discriminator_loss: 0.0269134 Generator_loss: 1.89788
[INFO] 2021-01-01 09:27:09 > Step: 7400 Progress: 7.4% Elapsed: 1:12:55 temperature: no ada_p: No Discriminator_loss: 2.0158 Generator_loss: 3.67173
[INFO] 2021-01-01 09:28:04 > Step: 7500 Progress: 7.5% Elapsed: 1:13:51 temperature: no ada_p: No Discriminator_loss: 0.022543 Generator_loss: 2.10457
[INFO] 2021-01-01 09:28:59 > Step: 7600 Progress: 7.6% Elapsed: 1:14:46 temperature: no ada_p: No Discriminator_loss: 0.0574674 Generator_loss: 1.56159
[INFO] 2021-01-01 09:29:54 > Step: 7700 Progress: 7.7% Elapsed: 1:15:41 temperature: no ada_p: No Discriminator_loss: 0.0100024 Generator_loss: 1.94271
[INFO] 2021-01-01 09:30:49 > Step: 7800 Progress: 7.8% Elapsed: 1:16:36 temperature: no ada_p: No Discriminator_loss: 1.37906 Generator_loss: 1.87626
[INFO] 2021-01-01 09:31:45 > Step: 7900 Progress: 7.9% Elapsed: 1:17:32 temperature: no ada_p: No Discriminator_loss: 1.52159e-05 Generator_loss: 2.58131
[INFO] 2021-01-01 09:32:40 > Step: 8000 Progress: 8.0% Elapsed: 1:18:27 temperature: no ada_p: No Discriminator_loss: 0.0307044 Generator_loss: 2.31464
[INFO] 2021-01-01 09:32:40 > Start Evaluation (8000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:32:40 > Calculating FID Score....
[INFO] 2021-01-01 09:33:05 > Calculating Inception Score....
[INFO] 2021-01-01 09:33:20 > Calculate F_beta Score....
[INFO] 2021-01-01 09:34:07 > Calculate Accuracies....
[INFO] 2021-01-01 09:34:13 > Calculate Accuracies....
[INFO] 2021-01-01 09:34:14 > F_8 score (Step: 8000, Using valid images): 0.12933005369074896
[INFO] 2021-01-01 09:34:14 > F_1/8 score (Step: 8000, Using valid images): 0.15343832493419857
[INFO] 2021-01-01 09:34:14 > FID score (Step: 8000, Using valid moments): 167.29662500628564
[INFO] 2021-01-01 09:34:14 > Inception score (Step: 8000, 10000 generated images): 3.759944200515747
[INFO] 2021-01-01 09:34:14 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 09:34:16 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:35:11 > Step: 8100 Progress: 8.1% Elapsed: 1:20:57 temperature: no ada_p: No Discriminator_loss: 0.0857999 Generator_loss: 3.09591
[INFO] 2021-01-01 09:36:06 > Step: 8200 Progress: 8.2% Elapsed: 1:21:53 temperature: no ada_p: No Discriminator_loss: 1.86551 Generator_loss: 0.844328
[INFO] 2021-01-01 09:37:01 > Step: 8300 Progress: 8.3% Elapsed: 1:22:48 temperature: no ada_p: No Discriminator_loss: 3.03984 Generator_loss: 3.23822
[INFO] 2021-01-01 09:37:56 > Step: 8400 Progress: 8.4% Elapsed: 1:23:43 temperature: no ada_p: No Discriminator_loss: 0.351294 Generator_loss: 4.88284
[INFO] 2021-01-01 09:38:51 > Step: 8500 Progress: 8.5% Elapsed: 1:24:38 temperature: no ada_p: No Discriminator_loss: 0.0533858 Generator_loss: 1.54366
[INFO] 2021-01-01 09:39:47 > Step: 8600 Progress: 8.6% Elapsed: 1:25:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.90915
[INFO] 2021-01-01 09:40:42 > Step: 8700 Progress: 8.7% Elapsed: 1:26:29 temperature: no ada_p: No Discriminator_loss: 0.00831857 Generator_loss: 1.16111
[INFO] 2021-01-01 09:41:37 > Step: 8800 Progress: 8.8% Elapsed: 1:27:24 temperature: no ada_p: No Discriminator_loss: 0.131059 Generator_loss: 2.93777
[INFO] 2021-01-01 09:42:32 > Step: 8900 Progress: 8.9% Elapsed: 1:28:19 temperature: no ada_p: No Discriminator_loss: 0.0189224 Generator_loss: 2.07196
[INFO] 2021-01-01 09:43:28 > Step: 9000 Progress: 9.0% Elapsed: 1:29:14 temperature: no ada_p: No Discriminator_loss: 0.143772 Generator_loss: 2.83364
[INFO] 2021-01-01 09:44:23 > Step: 9100 Progress: 9.1% Elapsed: 1:30:09 temperature: no ada_p: No Discriminator_loss: 0.0168531 Generator_loss: 1.43519
[INFO] 2021-01-01 09:45:18 > Step: 9200 Progress: 9.2% Elapsed: 1:31:05 temperature: no ada_p: No Discriminator_loss: 2.29434 Generator_loss: 2.60288
[INFO] 2021-01-01 09:46:13 > Step: 9300 Progress: 9.3% Elapsed: 1:32:00 temperature: no ada_p: No Discriminator_loss: 0.148647 Generator_loss: 2.88321
[INFO] 2021-01-01 09:47:08 > Step: 9400 Progress: 9.4% Elapsed: 1:32:55 temperature: no ada_p: No Discriminator_loss: 0.489015 Generator_loss: 3.77732
[INFO] 2021-01-01 09:48:03 > Step: 9500 Progress: 9.5% Elapsed: 1:33:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.58588
[INFO] 2021-01-01 09:48:59 > Step: 9600 Progress: 9.6% Elapsed: 1:34:45 temperature: no ada_p: No Discriminator_loss: 0.00691228 Generator_loss: 1.67728
[INFO] 2021-01-01 09:49:54 > Step: 9700 Progress: 9.7% Elapsed: 1:35:40 temperature: no ada_p: No Discriminator_loss: 0.0130029 Generator_loss: 1.93935
[INFO] 2021-01-01 09:50:49 > Step: 9800 Progress: 9.8% Elapsed: 1:36:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.97615
[INFO] 2021-01-01 09:51:44 > Step: 9900 Progress: 9.9% Elapsed: 1:37:31 temperature: no ada_p: No Discriminator_loss: 0.000137436 Generator_loss: 2.57497
[INFO] 2021-01-01 09:52:39 > Step: 10000 Progress: 10.0% Elapsed: 1:38:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.12966
[INFO] 2021-01-01 09:52:39 > Start Evaluation (10000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:52:39 > Calculating FID Score....
[INFO] 2021-01-01 09:53:04 > Calculating Inception Score....
[INFO] 2021-01-01 09:53:19 > Calculate F_beta Score....
[INFO] 2021-01-01 09:54:02 > Calculate Accuracies....
[INFO] 2021-01-01 09:54:08 > Calculate Accuracies....
[INFO] 2021-01-01 09:54:10 > F_8 score (Step: 10000, Using valid images): 0.05690161025223944
[INFO] 2021-01-01 09:54:10 > F_1/8 score (Step: 10000, Using valid images): 0.09169974593392005
[INFO] 2021-01-01 09:54:10 > FID score (Step: 10000, Using valid moments): 185.48153775421406
[INFO] 2021-01-01 09:54:10 > Inception score (Step: 10000, 10000 generated images): 3.5094943046569824
[INFO] 2021-01-01 09:54:10 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 09:54:11 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 09:55:06 > Step: 10100 Progress: 10.1% Elapsed: 1:40:53 temperature: no ada_p: No Discriminator_loss: 0.111397 Generator_loss: 2.6655
[INFO] 2021-01-01 09:56:02 > Step: 10200 Progress: 10.2% Elapsed: 1:41:48 temperature: no ada_p: No Discriminator_loss: 0.612827 Generator_loss: 3.93651
[INFO] 2021-01-01 09:56:57 > Step: 10300 Progress: 10.3% Elapsed: 1:42:44 temperature: no ada_p: No Discriminator_loss: 0.00508095 Generator_loss: 2.22039
[INFO] 2021-01-01 09:57:52 > Step: 10400 Progress: 10.4% Elapsed: 1:43:39 temperature: no ada_p: No Discriminator_loss: 18.8876 Generator_loss: 1.92265
[INFO] 2021-01-01 09:58:47 > Step: 10500 Progress: 10.5% Elapsed: 1:44:34 temperature: no ada_p: No Discriminator_loss: 0.0361895 Generator_loss: 1.80661
[INFO] 2021-01-01 09:59:43 > Step: 10600 Progress: 10.6% Elapsed: 1:45:29 temperature: no ada_p: No Discriminator_loss: 0.00332811 Generator_loss: 1.6424
[INFO] 2021-01-01 10:00:38 > Step: 10700 Progress: 10.7% Elapsed: 1:46:24 temperature: no ada_p: No Discriminator_loss: 0.0133168 Generator_loss: 1.65325
[INFO] 2021-01-01 10:01:33 > Step: 10800 Progress: 10.8% Elapsed: 1:47:19 temperature: no ada_p: No Discriminator_loss: 0.649934 Generator_loss: 1.55088
[INFO] 2021-01-01 10:02:28 > Step: 10900 Progress: 10.9% Elapsed: 1:48:14 temperature: no ada_p: No Discriminator_loss: 0.551076 Generator_loss: 3.74616
[INFO] 2021-01-01 10:03:23 > Step: 11000 Progress: 11.0% Elapsed: 1:49:10 temperature: no ada_p: No Discriminator_loss: 0.124198 Generator_loss: 2.21566
[INFO] 2021-01-01 10:04:18 > Step: 11100 Progress: 11.1% Elapsed: 1:50:05 temperature: no ada_p: No Discriminator_loss: 2.42033 Generator_loss: 2.48563
[INFO] 2021-01-01 10:05:13 > Step: 11200 Progress: 11.2% Elapsed: 1:51:00 temperature: no ada_p: No Discriminator_loss: 0.0569376 Generator_loss: 3.06253
[INFO] 2021-01-01 10:06:08 > Step: 11300 Progress: 11.3% Elapsed: 1:51:55 temperature: no ada_p: No Discriminator_loss: 0.152973 Generator_loss: 2.69819
[INFO] 2021-01-01 10:07:04 > Step: 11400 Progress: 11.4% Elapsed: 1:52:51 temperature: no ada_p: No Discriminator_loss: 0.00041538 Generator_loss: 1.57205
[INFO] 2021-01-01 10:07:59 > Step: 11500 Progress: 11.5% Elapsed: 1:53:46 temperature: no ada_p: No Discriminator_loss: 0.194244 Generator_loss: 2.68263
[INFO] 2021-01-01 10:08:54 > Step: 11600 Progress: 11.6% Elapsed: 1:54:41 temperature: no ada_p: No Discriminator_loss: 0.0583361 Generator_loss: 2.03552
[INFO] 2021-01-01 10:09:49 > Step: 11700 Progress: 11.7% Elapsed: 1:55:36 temperature: no ada_p: No Discriminator_loss: 0.344961 Generator_loss: 3.40946
[INFO] 2021-01-01 10:10:45 > Step: 11800 Progress: 11.8% Elapsed: 1:56:31 temperature: no ada_p: No Discriminator_loss: 0.152645 Generator_loss: 1.66166
[INFO] 2021-01-01 10:11:40 > Step: 11900 Progress: 11.9% Elapsed: 1:57:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.03356
[INFO] 2021-01-01 10:12:35 > Step: 12000 Progress: 12.0% Elapsed: 1:58:21 temperature: no ada_p: No Discriminator_loss: 2.96374 Generator_loss: 3.14438
[INFO] 2021-01-01 10:12:35 > Start Evaluation (12000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:12:35 > Calculating FID Score....
[INFO] 2021-01-01 10:13:00 > Calculating Inception Score....
[INFO] 2021-01-01 10:13:14 > Calculate F_beta Score....
[INFO] 2021-01-01 10:13:59 > Calculate Accuracies....
[INFO] 2021-01-01 10:14:05 > Calculate Accuracies....
[INFO] 2021-01-01 10:14:07 > F_8 score (Step: 12000, Using valid images): 0.05040099692519852
[INFO] 2021-01-01 10:14:07 > F_1/8 score (Step: 12000, Using valid images): 0.1333301627979867
[INFO] 2021-01-01 10:14:07 > FID score (Step: 12000, Using valid moments): 181.20380486169944
[INFO] 2021-01-01 10:14:07 > Inception score (Step: 12000, 10000 generated images): 3.457674980163574
[INFO] 2021-01-01 10:14:07 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 10:14:08 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:15:03 > Step: 12100 Progress: 12.1% Elapsed: 2:00:50 temperature: no ada_p: No Discriminator_loss: 0.205978 Generator_loss: 2.14993
[INFO] 2021-01-01 10:15:58 > Step: 12200 Progress: 12.2% Elapsed: 2:01:45 temperature: no ada_p: No Discriminator_loss: 0.00133257 Generator_loss: 2.12973
[INFO] 2021-01-01 10:16:53 > Step: 12300 Progress: 12.3% Elapsed: 2:02:40 temperature: no ada_p: No Discriminator_loss: 0.15484 Generator_loss: 2.48895
[INFO] 2021-01-01 10:17:48 > Step: 12400 Progress: 12.4% Elapsed: 2:03:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.91736
[INFO] 2021-01-01 10:18:44 > Step: 12500 Progress: 12.5% Elapsed: 2:04:31 temperature: no ada_p: No Discriminator_loss: 0.00120408 Generator_loss: 1.74053
[INFO] 2021-01-01 10:19:39 > Step: 12600 Progress: 12.6% Elapsed: 2:05:26 temperature: no ada_p: No Discriminator_loss: 0.000834037 Generator_loss: 1.792
[INFO] 2021-01-01 10:20:34 > Step: 12700 Progress: 12.7% Elapsed: 2:06:21 temperature: no ada_p: No Discriminator_loss: 0.142622 Generator_loss: 1.65313
[INFO] 2021-01-01 10:21:29 > Step: 12800 Progress: 12.8% Elapsed: 2:07:16 temperature: no ada_p: No Discriminator_loss: 0.0115427 Generator_loss: 1.7906
[INFO] 2021-01-01 10:22:25 > Step: 12900 Progress: 12.9% Elapsed: 2:08:11 temperature: no ada_p: No Discriminator_loss: 0.000748854 Generator_loss: 2.29539
[INFO] 2021-01-01 10:23:20 > Step: 13000 Progress: 13.0% Elapsed: 2:09:06 temperature: no ada_p: No Discriminator_loss: 0.849733 Generator_loss: 3.70606
[INFO] 2021-01-01 10:24:15 > Step: 13100 Progress: 13.1% Elapsed: 2:10:01 temperature: no ada_p: No Discriminator_loss: 0.00624313 Generator_loss: 1.96002
[INFO] 2021-01-01 10:25:10 > Step: 13200 Progress: 13.2% Elapsed: 2:10:56 temperature: no ada_p: No Discriminator_loss: 0.00543412 Generator_loss: 2.16456
[INFO] 2021-01-01 10:26:05 > Step: 13300 Progress: 13.3% Elapsed: 2:11:52 temperature: no ada_p: No Discriminator_loss: 0.00266744 Generator_loss: 1.50982
[INFO] 2021-01-01 10:27:00 > Step: 13400 Progress: 13.4% Elapsed: 2:12:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.87449
[INFO] 2021-01-01 10:27:55 > Step: 13500 Progress: 13.5% Elapsed: 2:13:42 temperature: no ada_p: No Discriminator_loss: 0.00139353 Generator_loss: 1.7559
[INFO] 2021-01-01 10:28:50 > Step: 13600 Progress: 13.6% Elapsed: 2:14:37 temperature: no ada_p: No Discriminator_loss: 0.00431127 Generator_loss: 1.30081
[INFO] 2021-01-01 10:29:46 > Step: 13700 Progress: 13.7% Elapsed: 2:15:33 temperature: no ada_p: No Discriminator_loss: 0.152991 Generator_loss: 1.52604
[INFO] 2021-01-01 10:30:41 > Step: 13800 Progress: 13.8% Elapsed: 2:16:28 temperature: no ada_p: No Discriminator_loss: 1.53386 Generator_loss: 2.0764
[INFO] 2021-01-01 10:31:36 > Step: 13900 Progress: 13.9% Elapsed: 2:17:23 temperature: no ada_p: No Discriminator_loss: 0.00631082 Generator_loss: 1.58718
[INFO] 2021-01-01 10:32:31 > Step: 14000 Progress: 14.0% Elapsed: 2:18:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.85714
[INFO] 2021-01-01 10:32:31 > Start Evaluation (14000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:32:31 > Calculating FID Score....
[INFO] 2021-01-01 10:32:56 > Calculating Inception Score....
[INFO] 2021-01-01 10:33:10 > Calculate F_beta Score....
[INFO] 2021-01-01 10:33:56 > Calculate Accuracies....
[INFO] 2021-01-01 10:34:02 > Calculate Accuracies....
[INFO] 2021-01-01 10:34:03 > F_8 score (Step: 14000, Using valid images): 0.1126602537578747
[INFO] 2021-01-01 10:34:03 > F_1/8 score (Step: 14000, Using valid images): 0.015305176456056545
[INFO] 2021-01-01 10:34:03 > FID score (Step: 14000, Using valid moments): 238.8085353115117
[INFO] 2021-01-01 10:34:03 > Inception score (Step: 14000, 10000 generated images): 2.3971750736236572
[INFO] 2021-01-01 10:34:03 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 10:34:05 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:35:00 > Step: 14100 Progress: 14.1% Elapsed: 2:20:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.41058
[INFO] 2021-01-01 10:35:55 > Step: 14200 Progress: 14.2% Elapsed: 2:21:41 temperature: no ada_p: No Discriminator_loss: 0.00437279 Generator_loss: 1.92761
[INFO] 2021-01-01 10:36:50 > Step: 14300 Progress: 14.3% Elapsed: 2:22:36 temperature: no ada_p: No Discriminator_loss: 0.0980193 Generator_loss: 2.81547
[INFO] 2021-01-01 10:37:45 > Step: 14400 Progress: 14.4% Elapsed: 2:23:31 temperature: no ada_p: No Discriminator_loss: 3.71577 Generator_loss: 3.45676
[INFO] 2021-01-01 10:38:40 > Step: 14500 Progress: 14.5% Elapsed: 2:24:27 temperature: no ada_p: No Discriminator_loss: 0.022956 Generator_loss: 1.38759
[INFO] 2021-01-01 10:39:35 > Step: 14600 Progress: 14.6% Elapsed: 2:25:22 temperature: no ada_p: No Discriminator_loss: 0.00113911 Generator_loss: 1.18359
[INFO] 2021-01-01 10:40:30 > Step: 14700 Progress: 14.7% Elapsed: 2:26:17 temperature: no ada_p: No Discriminator_loss: 1.93 Generator_loss: 0.897143
[INFO] 2021-01-01 10:41:25 > Step: 14800 Progress: 14.8% Elapsed: 2:27:12 temperature: no ada_p: No Discriminator_loss: 0.00828564 Generator_loss: 1.67182
[INFO] 2021-01-01 10:42:21 > Step: 14900 Progress: 14.9% Elapsed: 2:28:08 temperature: no ada_p: No Discriminator_loss: 0.0293837 Generator_loss: 1.61197
[INFO] 2021-01-01 10:43:16 > Step: 15000 Progress: 15.0% Elapsed: 2:29:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.56523
[INFO] 2021-01-01 10:44:11 > Step: 15100 Progress: 15.1% Elapsed: 2:29:58 temperature: no ada_p: No Discriminator_loss: 0.843066 Generator_loss: 1.22833
[INFO] 2021-01-01 10:45:06 > Step: 15200 Progress: 15.2% Elapsed: 2:30:53 temperature: no ada_p: No Discriminator_loss: 0.125877 Generator_loss: 2.00131
[INFO] 2021-01-01 10:46:02 > Step: 15300 Progress: 15.3% Elapsed: 2:31:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10894
[INFO] 2021-01-01 10:46:57 > Step: 15400 Progress: 15.4% Elapsed: 2:32:43 temperature: no ada_p: No Discriminator_loss: 0.0112257 Generator_loss: 1.73539
[INFO] 2021-01-01 10:47:52 > Step: 15500 Progress: 15.5% Elapsed: 2:33:38 temperature: no ada_p: No Discriminator_loss: 0.0134343 Generator_loss: 1.63525
[INFO] 2021-01-01 10:48:47 > Step: 15600 Progress: 15.6% Elapsed: 2:34:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.04553
[INFO] 2021-01-01 10:49:42 > Step: 15700 Progress: 15.7% Elapsed: 2:35:29 temperature: no ada_p: No Discriminator_loss: 0.000416814 Generator_loss: 2.08656
[INFO] 2021-01-01 10:50:37 > Step: 15800 Progress: 15.8% Elapsed: 2:36:24 temperature: no ada_p: No Discriminator_loss: 0.000287188 Generator_loss: 1.84623
[INFO] 2021-01-01 10:51:32 > Step: 15900 Progress: 15.9% Elapsed: 2:37:19 temperature: no ada_p: No Discriminator_loss: 0.315881 Generator_loss: 2.44189
[INFO] 2021-01-01 10:52:28 > Step: 16000 Progress: 16.0% Elapsed: 2:38:15 temperature: no ada_p: No Discriminator_loss: 6.93216 Generator_loss: 1.99101
[INFO] 2021-01-01 10:52:28 > Start Evaluation (16000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:52:28 > Calculating FID Score....
[INFO] 2021-01-01 10:52:53 > Calculating Inception Score....
[INFO] 2021-01-01 10:53:07 > Calculate F_beta Score....
[INFO] 2021-01-01 10:53:52 > Calculate Accuracies....
[INFO] 2021-01-01 10:53:58 > Calculate Accuracies....
[INFO] 2021-01-01 10:54:00 > F_8 score (Step: 16000, Using valid images): 0.04053967463314117
[INFO] 2021-01-01 10:54:00 > F_1/8 score (Step: 16000, Using valid images): 0.0786226303908382
[INFO] 2021-01-01 10:54:00 > FID score (Step: 16000, Using valid moments): 183.85929098958673
[INFO] 2021-01-01 10:54:00 > Inception score (Step: 16000, 10000 generated images): 3.3943636417388916
[INFO] 2021-01-01 10:54:00 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 10:54:01 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 10:54:56 > Step: 16100 Progress: 16.1% Elapsed: 2:40:43 temperature: no ada_p: No Discriminator_loss: 0.000415058 Generator_loss: 1.7002
[INFO] 2021-01-01 10:55:51 > Step: 16200 Progress: 16.2% Elapsed: 2:41:38 temperature: no ada_p: No Discriminator_loss: 0.00896648 Generator_loss: 1.3894
[INFO] 2021-01-01 10:56:46 > Step: 16300 Progress: 16.3% Elapsed: 2:42:33 temperature: no ada_p: No Discriminator_loss: 0.00247575 Generator_loss: 2.05087
[INFO] 2021-01-01 10:57:41 > Step: 16400 Progress: 16.4% Elapsed: 2:43:28 temperature: no ada_p: No Discriminator_loss: 0.00986831 Generator_loss: 1.61158
[INFO] 2021-01-01 10:58:36 > Step: 16500 Progress: 16.5% Elapsed: 2:44:23 temperature: no ada_p: No Discriminator_loss: 0.0268689 Generator_loss: 1.71141
[INFO] 2021-01-01 10:59:31 > Step: 16600 Progress: 16.6% Elapsed: 2:45:18 temperature: no ada_p: No Discriminator_loss: 0.148269 Generator_loss: 2.33528
[INFO] 2021-01-01 11:00:26 > Step: 16700 Progress: 16.7% Elapsed: 2:46:13 temperature: no ada_p: No Discriminator_loss: 0.000103114 Generator_loss: 1.84033
[INFO] 2021-01-01 11:01:22 > Step: 16800 Progress: 16.8% Elapsed: 2:47:09 temperature: no ada_p: No Discriminator_loss: 0.00421518 Generator_loss: 1.9043
[INFO] 2021-01-01 11:02:17 > Step: 16900 Progress: 16.9% Elapsed: 2:48:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.6662
[INFO] 2021-01-01 11:03:12 > Step: 17000 Progress: 17.0% Elapsed: 2:48:59 temperature: no ada_p: No Discriminator_loss: 0.0881556 Generator_loss: 1.69247
[INFO] 2021-01-01 11:04:07 > Step: 17100 Progress: 17.1% Elapsed: 2:49:54 temperature: no ada_p: No Discriminator_loss: 0.0025176 Generator_loss: 1.75623
[INFO] 2021-01-01 11:05:02 > Step: 17200 Progress: 17.2% Elapsed: 2:50:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.7671
[INFO] 2021-01-01 11:05:57 > Step: 17300 Progress: 17.3% Elapsed: 2:51:44 temperature: no ada_p: No Discriminator_loss: 0.0058009 Generator_loss: 1.64832
[INFO] 2021-01-01 11:06:52 > Step: 17400 Progress: 17.4% Elapsed: 2:52:39 temperature: no ada_p: No Discriminator_loss: 0.0281858 Generator_loss: 1.91836
[INFO] 2021-01-01 11:07:47 > Step: 17500 Progress: 17.5% Elapsed: 2:53:34 temperature: no ada_p: No Discriminator_loss: 2.15716 Generator_loss: 1.58196
[INFO] 2021-01-01 11:08:43 > Step: 17600 Progress: 17.6% Elapsed: 2:54:30 temperature: no ada_p: No Discriminator_loss: 0.0452119 Generator_loss: 1.37046
[INFO] 2021-01-01 11:09:38 > Step: 17700 Progress: 17.7% Elapsed: 2:55:25 temperature: no ada_p: No Discriminator_loss: 0.0811596 Generator_loss: 2.1883
[INFO] 2021-01-01 11:10:33 > Step: 17800 Progress: 17.8% Elapsed: 2:56:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.04594
[INFO] 2021-01-01 11:11:28 > Step: 17900 Progress: 17.9% Elapsed: 2:57:15 temperature: no ada_p: No Discriminator_loss: 0.000713935 Generator_loss: 1.74754
[INFO] 2021-01-01 11:12:23 > Step: 18000 Progress: 18.0% Elapsed: 2:58:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.47595
[INFO] 2021-01-01 11:12:23 > Start Evaluation (18000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:12:23 > Calculating FID Score....
[INFO] 2021-01-01 11:12:48 > Calculating Inception Score....
[INFO] 2021-01-01 11:13:03 > Calculate F_beta Score....
[INFO] 2021-01-01 11:13:46 > Calculate Accuracies....
[INFO] 2021-01-01 11:13:52 > Calculate Accuracies....
[INFO] 2021-01-01 11:13:54 > F_8 score (Step: 18000, Using valid images): 0.08661974005123511
[INFO] 2021-01-01 11:13:54 > F_1/8 score (Step: 18000, Using valid images): 0.09453077087440273
[INFO] 2021-01-01 11:13:54 > FID score (Step: 18000, Using valid moments): 196.03763800848162
[INFO] 2021-01-01 11:13:54 > Inception score (Step: 18000, 10000 generated images): 3.1341798305511475
[INFO] 2021-01-01 11:13:54 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 11:13:55 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:14:50 > Step: 18100 Progress: 18.1% Elapsed: 3:00:36 temperature: no ada_p: No Discriminator_loss: 0.0218774 Generator_loss: 2.0742
[INFO] 2021-01-01 11:15:45 > Step: 18200 Progress: 18.2% Elapsed: 3:01:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.70744
[INFO] 2021-01-01 11:16:40 > Step: 18300 Progress: 18.3% Elapsed: 3:02:26 temperature: no ada_p: No Discriminator_loss: 0.000415769 Generator_loss: 1.61827
[INFO] 2021-01-01 11:17:35 > Step: 18400 Progress: 18.4% Elapsed: 3:03:22 temperature: no ada_p: No Discriminator_loss: 0.469931 Generator_loss: 1.76125
[INFO] 2021-01-01 11:18:30 > Step: 18500 Progress: 18.5% Elapsed: 3:04:17 temperature: no ada_p: No Discriminator_loss: 0.0226276 Generator_loss: 1.74975
[INFO] 2021-01-01 11:19:25 > Step: 18600 Progress: 18.6% Elapsed: 3:05:12 temperature: no ada_p: No Discriminator_loss: 0.0894174 Generator_loss: 2.38355
[INFO] 2021-01-01 11:20:20 > Step: 18700 Progress: 18.7% Elapsed: 3:06:07 temperature: no ada_p: No Discriminator_loss: 0.00252629 Generator_loss: 1.49668
[INFO] 2021-01-01 11:21:16 > Step: 18800 Progress: 18.8% Elapsed: 3:07:02 temperature: no ada_p: No Discriminator_loss: 0.00324226 Generator_loss: 1.50174
[INFO] 2021-01-01 11:22:11 > Step: 18900 Progress: 18.9% Elapsed: 3:07:57 temperature: no ada_p: No Discriminator_loss: 0.00279437 Generator_loss: 1.41342
[INFO] 2021-01-01 11:23:06 > Step: 19000 Progress: 19.0% Elapsed: 3:08:52 temperature: no ada_p: No Discriminator_loss: 1.80833 Generator_loss: 2.38996
[INFO] 2021-01-01 11:24:01 > Step: 19100 Progress: 19.1% Elapsed: 3:09:47 temperature: no ada_p: No Discriminator_loss: 4.85028e-05 Generator_loss: 1.69106
[INFO] 2021-01-01 11:24:56 > Step: 19200 Progress: 19.2% Elapsed: 3:10:43 temperature: no ada_p: No Discriminator_loss: 0.0137704 Generator_loss: 1.90548
[INFO] 2021-01-01 11:25:51 > Step: 19300 Progress: 19.3% Elapsed: 3:11:38 temperature: no ada_p: No Discriminator_loss: 0.000640515 Generator_loss: 1.54421
[INFO] 2021-01-01 11:26:46 > Step: 19400 Progress: 19.4% Elapsed: 3:12:33 temperature: no ada_p: No Discriminator_loss: 0.00166005 Generator_loss: 2.05608
[INFO] 2021-01-01 11:27:41 > Step: 19500 Progress: 19.5% Elapsed: 3:13:28 temperature: no ada_p: No Discriminator_loss: 0.0648084 Generator_loss: 1.95718
[INFO] 2021-01-01 11:28:37 > Step: 19600 Progress: 19.6% Elapsed: 3:14:24 temperature: no ada_p: No Discriminator_loss: 0.909869 Generator_loss: 0.839896
[INFO] 2021-01-01 11:29:32 > Step: 19700 Progress: 19.7% Elapsed: 3:15:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.29424
[INFO] 2021-01-01 11:30:27 > Step: 19800 Progress: 19.8% Elapsed: 3:16:14 temperature: no ada_p: No Discriminator_loss: 0.234935 Generator_loss: 2.9216
[INFO] 2021-01-01 11:31:22 > Step: 19900 Progress: 19.9% Elapsed: 3:17:09 temperature: no ada_p: No Discriminator_loss: 0.00108046 Generator_loss: 1.79969
[INFO] 2021-01-01 11:32:17 > Step: 20000 Progress: 20.0% Elapsed: 3:18:04 temperature: no ada_p: No Discriminator_loss: 0.00301907 Generator_loss: 1.56818
[INFO] 2021-01-01 11:32:17 > Start Evaluation (20000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:32:17 > Calculating FID Score....
[INFO] 2021-01-01 11:32:42 > Calculating Inception Score....
[INFO] 2021-01-01 11:32:57 > Calculate F_beta Score....
[INFO] 2021-01-01 11:33:40 > Calculate Accuracies....
[INFO] 2021-01-01 11:33:46 > Calculate Accuracies....
[INFO] 2021-01-01 11:33:48 > F_8 score (Step: 20000, Using valid images): 0.15086841193996625
[INFO] 2021-01-01 11:33:48 > F_1/8 score (Step: 20000, Using valid images): 0.06218691893237332
[INFO] 2021-01-01 11:33:48 > FID score (Step: 20000, Using valid moments): 189.92832876232353
[INFO] 2021-01-01 11:33:48 > Inception score (Step: 20000, 10000 generated images): 3.746304988861084
[INFO] 2021-01-01 11:33:48 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 11:33:49 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:34:44 > Step: 20100 Progress: 20.1% Elapsed: 3:20:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.792
[INFO] 2021-01-01 11:35:39 > Step: 20200 Progress: 20.2% Elapsed: 3:21:26 temperature: no ada_p: No Discriminator_loss: 0.25245 Generator_loss: 1.45641
[INFO] 2021-01-01 11:36:35 > Step: 20300 Progress: 20.3% Elapsed: 3:22:21 temperature: no ada_p: No Discriminator_loss: 3.92675 Generator_loss: 2.4664
[INFO] 2021-01-01 11:37:30 > Step: 20400 Progress: 20.4% Elapsed: 3:23:16 temperature: no ada_p: No Discriminator_loss: 0.00244694 Generator_loss: 1.68285
[INFO] 2021-01-01 11:38:25 > Step: 20500 Progress: 20.5% Elapsed: 3:24:11 temperature: no ada_p: No Discriminator_loss: 0.0156124 Generator_loss: 2.12162
[INFO] 2021-01-01 11:39:20 > Step: 20600 Progress: 20.6% Elapsed: 3:25:06 temperature: no ada_p: No Discriminator_loss: 0.477906 Generator_loss: 3.3576
[INFO] 2021-01-01 11:40:15 > Step: 20700 Progress: 20.7% Elapsed: 3:26:02 temperature: no ada_p: No Discriminator_loss: 0.00301045 Generator_loss: 2.03203
[INFO] 2021-01-01 11:41:10 > Step: 20800 Progress: 20.8% Elapsed: 3:26:57 temperature: no ada_p: No Discriminator_loss: 1.06181 Generator_loss: 1.97238
[INFO] 2021-01-01 11:42:05 > Step: 20900 Progress: 20.9% Elapsed: 3:27:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.87868
[INFO] 2021-01-01 11:43:00 > Step: 21000 Progress: 21.0% Elapsed: 3:28:47 temperature: no ada_p: No Discriminator_loss: 0.000207908 Generator_loss: 1.64467
[INFO] 2021-01-01 11:43:56 > Step: 21100 Progress: 21.1% Elapsed: 3:29:42 temperature: no ada_p: No Discriminator_loss: 0.00328783 Generator_loss: 2.20776
[INFO] 2021-01-01 11:44:51 > Step: 21200 Progress: 21.2% Elapsed: 3:30:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.76756
[INFO] 2021-01-01 11:45:46 > Step: 21300 Progress: 21.3% Elapsed: 3:31:32 temperature: no ada_p: No Discriminator_loss: 0.0959356 Generator_loss: 2.00011
[INFO] 2021-01-01 11:46:41 > Step: 21400 Progress: 21.4% Elapsed: 3:32:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.71868
[INFO] 2021-01-01 11:47:36 > Step: 21500 Progress: 21.5% Elapsed: 3:33:23 temperature: no ada_p: No Discriminator_loss: 0.00485613 Generator_loss: 1.30878
[INFO] 2021-01-01 11:48:31 > Step: 21600 Progress: 21.6% Elapsed: 3:34:18 temperature: no ada_p: No Discriminator_loss: 0.000833219 Generator_loss: 1.53801
[INFO] 2021-01-01 11:49:26 > Step: 21700 Progress: 21.7% Elapsed: 3:35:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.21965
[INFO] 2021-01-01 11:50:21 > Step: 21800 Progress: 21.8% Elapsed: 3:36:08 temperature: no ada_p: No Discriminator_loss: 2.52663 Generator_loss: 2.1958
[INFO] 2021-01-01 11:51:17 > Step: 21900 Progress: 21.9% Elapsed: 3:37:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.48079
[INFO] 2021-01-01 11:52:11 > Step: 22000 Progress: 22.0% Elapsed: 3:37:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.3224
[INFO] 2021-01-01 11:52:11 > Start Evaluation (22000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:52:11 > Calculating FID Score....
[INFO] 2021-01-01 11:52:36 > Calculating Inception Score....
[INFO] 2021-01-01 11:52:51 > Calculate F_beta Score....
[INFO] 2021-01-01 11:53:35 > Calculate Accuracies....
[INFO] 2021-01-01 11:53:41 > Calculate Accuracies....
[INFO] 2021-01-01 11:53:43 > F_8 score (Step: 22000, Using valid images): 0.04899983750746946
[INFO] 2021-01-01 11:53:43 > F_1/8 score (Step: 22000, Using valid images): 0.13008336627196307
[INFO] 2021-01-01 11:53:43 > FID score (Step: 22000, Using valid moments): 191.51845259154717
[INFO] 2021-01-01 11:53:43 > Inception score (Step: 22000, 10000 generated images): 3.186645746231079
[INFO] 2021-01-01 11:53:43 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 11:53:44 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 11:54:39 > Step: 22100 Progress: 22.1% Elapsed: 3:40:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.42958
[INFO] 2021-01-01 11:55:33 > Step: 22200 Progress: 22.2% Elapsed: 3:41:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.79961
[INFO] 2021-01-01 11:56:29 > Step: 22300 Progress: 22.3% Elapsed: 3:42:16 temperature: no ada_p: No Discriminator_loss: 0.0016116 Generator_loss: 1.74941
[INFO] 2021-01-01 11:57:24 > Step: 22400 Progress: 22.4% Elapsed: 3:43:11 temperature: no ada_p: No Discriminator_loss: 0.000781616 Generator_loss: 2.3425
[INFO] 2021-01-01 11:58:19 > Step: 22500 Progress: 22.5% Elapsed: 3:44:06 temperature: no ada_p: No Discriminator_loss: 0.00222694 Generator_loss: 1.54083
[INFO] 2021-01-01 11:59:14 > Step: 22600 Progress: 22.6% Elapsed: 3:45:01 temperature: no ada_p: No Discriminator_loss: 0.179885 Generator_loss: 2.89637
[INFO] 2021-01-01 12:00:09 > Step: 22700 Progress: 22.7% Elapsed: 3:45:56 temperature: no ada_p: No Discriminator_loss: 0.0117034 Generator_loss: 1.54549
[INFO] 2021-01-01 12:01:04 > Step: 22800 Progress: 22.8% Elapsed: 3:46:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.57433
[INFO] 2021-01-01 12:01:59 > Step: 22900 Progress: 22.9% Elapsed: 3:47:46 temperature: no ada_p: No Discriminator_loss: 0.00345394 Generator_loss: 2.21705
[INFO] 2021-01-01 12:02:54 > Step: 23000 Progress: 23.0% Elapsed: 3:48:41 temperature: no ada_p: No Discriminator_loss: 0.117217 Generator_loss: 2.20201
[INFO] 2021-01-01 12:03:50 > Step: 23100 Progress: 23.1% Elapsed: 3:49:36 temperature: no ada_p: No Discriminator_loss: 0.00197015 Generator_loss: 1.80288
[INFO] 2021-01-01 12:04:45 > Step: 23200 Progress: 23.2% Elapsed: 3:50:31 temperature: no ada_p: No Discriminator_loss: 0.045819 Generator_loss: 1.27892
[INFO] 2021-01-01 12:05:40 > Step: 23300 Progress: 23.3% Elapsed: 3:51:26 temperature: no ada_p: No Discriminator_loss: 0.109621 Generator_loss: 2.25963
[INFO] 2021-01-01 12:06:35 > Step: 23400 Progress: 23.4% Elapsed: 3:52:21 temperature: no ada_p: No Discriminator_loss: 0.00462636 Generator_loss: 1.98965
[INFO] 2021-01-01 12:07:30 > Step: 23500 Progress: 23.5% Elapsed: 3:53:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.46064
[INFO] 2021-01-01 12:08:25 > Step: 23600 Progress: 23.6% Elapsed: 3:54:12 temperature: no ada_p: No Discriminator_loss: 3.01519 Generator_loss: 2.07488
[INFO] 2021-01-01 12:09:20 > Step: 23700 Progress: 23.7% Elapsed: 3:55:07 temperature: no ada_p: No Discriminator_loss: 0.0569035 Generator_loss: 1.77233
[INFO] 2021-01-01 12:10:16 > Step: 23800 Progress: 23.8% Elapsed: 3:56:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.207
[INFO] 2021-01-01 12:11:10 > Step: 23900 Progress: 23.9% Elapsed: 3:56:57 temperature: no ada_p: No Discriminator_loss: 0.0049723 Generator_loss: 1.57811
[INFO] 2021-01-01 12:12:05 > Step: 24000 Progress: 24.0% Elapsed: 3:57:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.7781
[INFO] 2021-01-01 12:12:05 > Start Evaluation (24000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:12:05 > Calculating FID Score....
[INFO] 2021-01-01 12:12:30 > Calculating Inception Score....
[INFO] 2021-01-01 12:12:45 > Calculate F_beta Score....
[INFO] 2021-01-01 12:13:27 > Calculate Accuracies....
[INFO] 2021-01-01 12:13:33 > Calculate Accuracies....
[INFO] 2021-01-01 12:13:35 > F_8 score (Step: 24000, Using valid images): 0.08457630788575479
[INFO] 2021-01-01 12:13:35 > F_1/8 score (Step: 24000, Using valid images): 0.027656265242263202
[INFO] 2021-01-01 12:13:35 > FID score (Step: 24000, Using valid moments): 297.85768486079763
[INFO] 2021-01-01 12:13:35 > Inception score (Step: 24000, 10000 generated images): 2.116321086883545
[INFO] 2021-01-01 12:13:35 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 12:13:36 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:14:31 > Step: 24100 Progress: 24.1% Elapsed: 4:00:17 temperature: no ada_p: No Discriminator_loss: 0.00295947 Generator_loss: 1.57261
[INFO] 2021-01-01 12:15:26 > Step: 24200 Progress: 24.2% Elapsed: 4:01:13 temperature: no ada_p: No Discriminator_loss: 0.0008901 Generator_loss: 1.84217
[INFO] 2021-01-01 12:16:21 > Step: 24300 Progress: 24.3% Elapsed: 4:02:08 temperature: no ada_p: No Discriminator_loss: 0.00224286 Generator_loss: 1.57312
[INFO] 2021-01-01 12:17:16 > Step: 24400 Progress: 24.4% Elapsed: 4:03:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.55842
[INFO] 2021-01-01 12:18:11 > Step: 24500 Progress: 24.5% Elapsed: 4:03:58 temperature: no ada_p: No Discriminator_loss: 0.000816491 Generator_loss: 1.73648
[INFO] 2021-01-01 12:19:07 > Step: 24600 Progress: 24.6% Elapsed: 4:04:53 temperature: no ada_p: No Discriminator_loss: 0.075878 Generator_loss: 2.33211
[INFO] 2021-01-01 12:20:01 > Step: 24700 Progress: 24.7% Elapsed: 4:05:48 temperature: no ada_p: No Discriminator_loss: 0.00107676 Generator_loss: 1.56351
[INFO] 2021-01-01 12:20:56 > Step: 24800 Progress: 24.8% Elapsed: 4:06:43 temperature: no ada_p: No Discriminator_loss: 0.0397481 Generator_loss: 1.85116
[INFO] 2021-01-01 12:21:51 > Step: 24900 Progress: 24.9% Elapsed: 4:07:38 temperature: no ada_p: No Discriminator_loss: 0.200399 Generator_loss: 2.95041
[INFO] 2021-01-01 12:22:47 > Step: 25000 Progress: 25.0% Elapsed: 4:08:34 temperature: no ada_p: No Discriminator_loss: 0.25157 Generator_loss: 2.94636
[INFO] 2021-01-01 12:23:42 > Step: 25100 Progress: 25.1% Elapsed: 4:09:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.16362
[INFO] 2021-01-01 12:24:37 > Step: 25200 Progress: 25.2% Elapsed: 4:10:24 temperature: no ada_p: No Discriminator_loss: 0.00232901 Generator_loss: 1.49452
[INFO] 2021-01-01 12:25:32 > Step: 25300 Progress: 25.3% Elapsed: 4:11:19 temperature: no ada_p: No Discriminator_loss: 3.80921 Generator_loss: 2.61638
[INFO] 2021-01-01 12:26:27 > Step: 25400 Progress: 25.4% Elapsed: 4:12:14 temperature: no ada_p: No Discriminator_loss: 0.122583 Generator_loss: 2.03909
[INFO] 2021-01-01 12:27:22 > Step: 25500 Progress: 25.5% Elapsed: 4:13:09 temperature: no ada_p: No Discriminator_loss: 0.00910923 Generator_loss: 1.81714
[INFO] 2021-01-01 12:28:17 > Step: 25600 Progress: 25.6% Elapsed: 4:14:04 temperature: no ada_p: No Discriminator_loss: 0.0098295 Generator_loss: 1.84223
[INFO] 2021-01-01 12:29:12 > Step: 25700 Progress: 25.7% Elapsed: 4:14:59 temperature: no ada_p: No Discriminator_loss: 0.14928 Generator_loss: 1.54096
[INFO] 2021-01-01 12:30:08 > Step: 25800 Progress: 25.8% Elapsed: 4:15:55 temperature: no ada_p: No Discriminator_loss: 1.19155 Generator_loss: 1.4762
[INFO] 2021-01-01 12:31:03 > Step: 25900 Progress: 25.9% Elapsed: 4:16:50 temperature: no ada_p: No Discriminator_loss: 0.000354394 Generator_loss: 1.51688
[INFO] 2021-01-01 12:31:58 > Step: 26000 Progress: 26.0% Elapsed: 4:17:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.49076
[INFO] 2021-01-01 12:31:58 > Start Evaluation (26000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:31:58 > Calculating FID Score....
[INFO] 2021-01-01 12:32:22 > Calculating Inception Score....
[INFO] 2021-01-01 12:32:37 > Calculate F_beta Score....
[INFO] 2021-01-01 12:33:20 > Calculate Accuracies....
[INFO] 2021-01-01 12:33:26 > Calculate Accuracies....
[INFO] 2021-01-01 12:33:28 > F_8 score (Step: 26000, Using valid images): 0.048098889427675255
[INFO] 2021-01-01 12:33:28 > F_1/8 score (Step: 26000, Using valid images): 0.06667383766021084
[INFO] 2021-01-01 12:33:28 > FID score (Step: 26000, Using valid moments): 210.50038098771725
[INFO] 2021-01-01 12:33:28 > Inception score (Step: 26000, 10000 generated images): 3.5983734130859375
[INFO] 2021-01-01 12:33:28 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 12:33:29 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:34:24 > Step: 26100 Progress: 26.1% Elapsed: 4:20:11 temperature: no ada_p: No Discriminator_loss: 0.00381215 Generator_loss: 1.4641
[INFO] 2021-01-01 12:35:19 > Step: 26200 Progress: 26.2% Elapsed: 4:21:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.06287
[INFO] 2021-01-01 12:36:14 > Step: 26300 Progress: 26.3% Elapsed: 4:22:01 temperature: no ada_p: No Discriminator_loss: 0.00124994 Generator_loss: 1.85654
[INFO] 2021-01-01 12:37:09 > Step: 26400 Progress: 26.4% Elapsed: 4:22:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.45444
[INFO] 2021-01-01 12:38:04 > Step: 26500 Progress: 26.5% Elapsed: 4:23:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.47494
[INFO] 2021-01-01 12:39:00 > Step: 26600 Progress: 26.6% Elapsed: 4:24:47 temperature: no ada_p: No Discriminator_loss: 0.00737468 Generator_loss: 1.34076
[INFO] 2021-01-01 12:39:55 > Step: 26700 Progress: 26.7% Elapsed: 4:25:41 temperature: no ada_p: No Discriminator_loss: 0.00174663 Generator_loss: 1.6885
[INFO] 2021-01-01 12:40:50 > Step: 26800 Progress: 26.8% Elapsed: 4:26:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.73727
[INFO] 2021-01-01 12:41:45 > Step: 26900 Progress: 26.9% Elapsed: 4:27:31 temperature: no ada_p: No Discriminator_loss: 0.00373106 Generator_loss: 1.881
[INFO] 2021-01-01 12:42:40 > Step: 27000 Progress: 27.0% Elapsed: 4:28:27 temperature: no ada_p: No Discriminator_loss: 0.0143304 Generator_loss: 1.73438
[INFO] 2021-01-01 12:43:35 > Step: 27100 Progress: 27.1% Elapsed: 4:29:22 temperature: no ada_p: No Discriminator_loss: 0.00293678 Generator_loss: 1.44864
[INFO] 2021-01-01 12:44:30 > Step: 27200 Progress: 27.2% Elapsed: 4:30:17 temperature: no ada_p: No Discriminator_loss: 0.17692 Generator_loss: 2.66035
[INFO] 2021-01-01 12:45:25 > Step: 27300 Progress: 27.3% Elapsed: 4:31:12 temperature: no ada_p: No Discriminator_loss: 0.0135923 Generator_loss: 1.60835
[INFO] 2021-01-01 12:46:21 > Step: 27400 Progress: 27.4% Elapsed: 4:32:07 temperature: no ada_p: No Discriminator_loss: 0.098196 Generator_loss: 3.07686
[INFO] 2021-01-01 12:47:15 > Step: 27500 Progress: 27.5% Elapsed: 4:33:02 temperature: no ada_p: No Discriminator_loss: 0.020333 Generator_loss: 2.08365
[INFO] 2021-01-01 12:48:10 > Step: 27600 Progress: 27.6% Elapsed: 4:33:57 temperature: no ada_p: No Discriminator_loss: 0.00458777 Generator_loss: 1.54249
[INFO] 2021-01-01 12:49:06 > Step: 27700 Progress: 27.7% Elapsed: 4:34:53 temperature: no ada_p: No Discriminator_loss: 0.000111036 Generator_loss: 1.46851
[INFO] 2021-01-01 12:50:01 > Step: 27800 Progress: 27.8% Elapsed: 4:35:48 temperature: no ada_p: No Discriminator_loss: 0.00361888 Generator_loss: 1.72683
[INFO] 2021-01-01 12:50:56 > Step: 27900 Progress: 27.9% Elapsed: 4:36:42 temperature: no ada_p: No Discriminator_loss: 0.446107 Generator_loss: 2.18897
[INFO] 2021-01-01 12:51:51 > Step: 28000 Progress: 28.0% Elapsed: 4:37:37 temperature: no ada_p: No Discriminator_loss: 0.0994504 Generator_loss: 2.9582
[INFO] 2021-01-01 12:51:51 > Start Evaluation (28000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:51:51 > Calculating FID Score....
[INFO] 2021-01-01 12:52:15 > Calculating Inception Score....
[INFO] 2021-01-01 12:52:30 > Calculate F_beta Score....
[INFO] 2021-01-01 12:53:13 > Calculate Accuracies....
[INFO] 2021-01-01 12:53:19 > Calculate Accuracies....
[INFO] 2021-01-01 12:53:21 > F_8 score (Step: 28000, Using valid images): 0.14974684054433998
[INFO] 2021-01-01 12:53:21 > F_1/8 score (Step: 28000, Using valid images): 0.06881950334554658
[INFO] 2021-01-01 12:53:21 > FID score (Step: 28000, Using valid moments): 195.81108981198682
[INFO] 2021-01-01 12:53:21 > Inception score (Step: 28000, 10000 generated images): 2.8916518688201904
[INFO] 2021-01-01 12:53:21 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 12:53:22 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 12:54:17 > Step: 28100 Progress: 28.1% Elapsed: 4:40:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.79911
[INFO] 2021-01-01 12:55:12 > Step: 28200 Progress: 28.2% Elapsed: 4:40:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.41821
[INFO] 2021-01-01 12:56:07 > Step: 28300 Progress: 28.3% Elapsed: 4:41:53 temperature: no ada_p: No Discriminator_loss: 1.16663 Generator_loss: 0.656291
[INFO] 2021-01-01 12:57:02 > Step: 28400 Progress: 28.4% Elapsed: 4:42:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.91402
[INFO] 2021-01-01 12:57:57 > Step: 28500 Progress: 28.5% Elapsed: 4:43:44 temperature: no ada_p: No Discriminator_loss: 0.0130457 Generator_loss: 1.8411
[INFO] 2021-01-01 12:58:52 > Step: 28600 Progress: 28.6% Elapsed: 4:44:39 temperature: no ada_p: No Discriminator_loss: 0.00530597 Generator_loss: 2.28274
[INFO] 2021-01-01 12:59:47 > Step: 28700 Progress: 28.7% Elapsed: 4:45:34 temperature: no ada_p: No Discriminator_loss: 0.303897 Generator_loss: 3.30651
[INFO] 2021-01-01 13:00:42 > Step: 28800 Progress: 28.8% Elapsed: 4:46:29 temperature: no ada_p: No Discriminator_loss: 0.00881439 Generator_loss: 1.94061
[INFO] 2021-01-01 13:01:38 > Step: 28900 Progress: 28.9% Elapsed: 4:47:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.75222
[INFO] 2021-01-01 13:02:33 > Step: 29000 Progress: 29.0% Elapsed: 4:48:19 temperature: no ada_p: No Discriminator_loss: 0.00179773 Generator_loss: 1.99748
[INFO] 2021-01-01 13:03:27 > Step: 29100 Progress: 29.1% Elapsed: 4:49:14 temperature: no ada_p: No Discriminator_loss: 0.000291287 Generator_loss: 2.83649
[INFO] 2021-01-01 13:04:22 > Step: 29200 Progress: 29.2% Elapsed: 4:50:09 temperature: no ada_p: No Discriminator_loss: 0.0175333 Generator_loss: 1.95092
[INFO] 2021-01-01 13:05:18 > Step: 29300 Progress: 29.3% Elapsed: 4:51:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.59795
[INFO] 2021-01-01 13:06:13 > Step: 29400 Progress: 29.4% Elapsed: 4:52:00 temperature: no ada_p: No Discriminator_loss: 0.000911793 Generator_loss: 1.45723
[INFO] 2021-01-01 13:07:08 > Step: 29500 Progress: 29.5% Elapsed: 4:52:55 temperature: no ada_p: No Discriminator_loss: 0.00278939 Generator_loss: 1.87461
[INFO] 2021-01-01 13:08:03 > Step: 29600 Progress: 29.6% Elapsed: 4:53:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.47583
[INFO] 2021-01-01 13:08:58 > Step: 29700 Progress: 29.7% Elapsed: 4:54:45 temperature: no ada_p: No Discriminator_loss: 0.481815 Generator_loss: 3.11645
[INFO] 2021-01-01 13:09:53 > Step: 29800 Progress: 29.8% Elapsed: 4:55:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.89246
[INFO] 2021-01-01 13:10:48 > Step: 29900 Progress: 29.9% Elapsed: 4:56:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.33863
[INFO] 2021-01-01 13:11:43 > Step: 30000 Progress: 30.0% Elapsed: 4:57:30 temperature: no ada_p: No Discriminator_loss: 0.0163426 Generator_loss: 1.87401
[INFO] 2021-01-01 13:11:43 > Start Evaluation (30000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:11:43 > Calculating FID Score....
[INFO] 2021-01-01 13:12:08 > Calculating Inception Score....
[INFO] 2021-01-01 13:12:22 > Calculate F_beta Score....
[INFO] 2021-01-01 13:13:07 > Calculate Accuracies....
[INFO] 2021-01-01 13:13:13 > Calculate Accuracies....
[INFO] 2021-01-01 13:13:15 > F_8 score (Step: 30000, Using valid images): 0.14519774394327914
[INFO] 2021-01-01 13:13:15 > F_1/8 score (Step: 30000, Using valid images): 0.12357283504600496
[INFO] 2021-01-01 13:13:15 > FID score (Step: 30000, Using valid moments): 176.67438178785136
[INFO] 2021-01-01 13:13:15 > Inception score (Step: 30000, 10000 generated images): 4.275196552276611
[INFO] 2021-01-01 13:13:15 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 13:13:16 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:14:11 > Step: 30100 Progress: 30.1% Elapsed: 4:59:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.72545
[INFO] 2021-01-01 13:15:06 > Step: 30200 Progress: 30.2% Elapsed: 5:00:53 temperature: no ada_p: No Discriminator_loss: 0.00720064 Generator_loss: 1.70107
[INFO] 2021-01-01 13:16:01 > Step: 30300 Progress: 30.3% Elapsed: 5:01:48 temperature: no ada_p: No Discriminator_loss: 0.0027354 Generator_loss: 1.52874
[INFO] 2021-01-01 13:16:56 > Step: 30400 Progress: 30.4% Elapsed: 5:02:43 temperature: no ada_p: No Discriminator_loss: 4.42343e-05 Generator_loss: 1.64335
[INFO] 2021-01-01 13:17:51 > Step: 30500 Progress: 30.5% Elapsed: 5:03:38 temperature: no ada_p: No Discriminator_loss: 0.00017607 Generator_loss: 2.06347
[INFO] 2021-01-01 13:18:46 > Step: 30600 Progress: 30.6% Elapsed: 5:04:33 temperature: no ada_p: No Discriminator_loss: 0.0911498 Generator_loss: 2.92935
[INFO] 2021-01-01 13:19:41 > Step: 30700 Progress: 30.7% Elapsed: 5:05:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.54489
[INFO] 2021-01-01 13:20:36 > Step: 30800 Progress: 30.8% Elapsed: 5:06:23 temperature: no ada_p: No Discriminator_loss: 0.00184716 Generator_loss: 1.94864
[INFO] 2021-01-01 13:21:32 > Step: 30900 Progress: 30.9% Elapsed: 5:07:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.01114
[INFO] 2021-01-01 13:22:27 > Step: 31000 Progress: 31.0% Elapsed: 5:08:13 temperature: no ada_p: No Discriminator_loss: 2.35661 Generator_loss: 2.40146
[INFO] 2021-01-01 13:23:21 > Step: 31100 Progress: 31.1% Elapsed: 5:09:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.39837
[INFO] 2021-01-01 13:24:16 > Step: 31200 Progress: 31.2% Elapsed: 5:10:03 temperature: no ada_p: No Discriminator_loss: 0.00869754 Generator_loss: 1.66716
[INFO] 2021-01-01 13:25:12 > Step: 31300 Progress: 31.3% Elapsed: 5:10:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.79543
[INFO] 2021-01-01 13:26:07 > Step: 31400 Progress: 31.4% Elapsed: 5:11:54 temperature: no ada_p: No Discriminator_loss: 0.647281 Generator_loss: 3.13621
[INFO] 2021-01-01 13:27:02 > Step: 31500 Progress: 31.5% Elapsed: 5:12:49 temperature: no ada_p: No Discriminator_loss: 0.000199056 Generator_loss: 1.76699
[INFO] 2021-01-01 13:27:57 > Step: 31600 Progress: 31.6% Elapsed: 5:13:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.6117
[INFO] 2021-01-01 13:28:52 > Step: 31700 Progress: 31.7% Elapsed: 5:14:39 temperature: no ada_p: No Discriminator_loss: 0.00218051 Generator_loss: 1.87145
[INFO] 2021-01-01 13:29:47 > Step: 31800 Progress: 31.8% Elapsed: 5:15:34 temperature: no ada_p: No Discriminator_loss: 6.15516e-05 Generator_loss: 1.78416
[INFO] 2021-01-01 13:30:42 > Step: 31900 Progress: 31.9% Elapsed: 5:16:29 temperature: no ada_p: No Discriminator_loss: 0.254002 Generator_loss: 3.6412
[INFO] 2021-01-01 13:31:38 > Step: 32000 Progress: 32.0% Elapsed: 5:17:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10571
[INFO] 2021-01-01 13:31:38 > Start Evaluation (32000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:31:38 > Calculating FID Score....
[INFO] 2021-01-01 13:32:02 > Calculating Inception Score....
[INFO] 2021-01-01 13:32:17 > Calculate F_beta Score....
[INFO] 2021-01-01 13:33:02 > Calculate Accuracies....
[INFO] 2021-01-01 13:33:07 > Calculate Accuracies....
[INFO] 2021-01-01 13:33:09 > F_8 score (Step: 32000, Using valid images): 0.16894538352398392
[INFO] 2021-01-01 13:33:09 > F_1/8 score (Step: 32000, Using valid images): 0.13766166703801683
[INFO] 2021-01-01 13:33:09 > FID score (Step: 32000, Using valid moments): 175.02032613527786
[INFO] 2021-01-01 13:33:09 > Inception score (Step: 32000, 10000 generated images): 3.4982078075408936
[INFO] 2021-01-01 13:33:09 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 13:33:10 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:34:05 > Step: 32100 Progress: 32.1% Elapsed: 5:19:52 temperature: no ada_p: No Discriminator_loss: 2.22161 Generator_loss: 3.11866
[INFO] 2021-01-01 13:35:00 > Step: 32200 Progress: 32.2% Elapsed: 5:20:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.12176
[INFO] 2021-01-01 13:35:55 > Step: 32300 Progress: 32.3% Elapsed: 5:21:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.86388
[INFO] 2021-01-01 13:36:50 > Step: 32400 Progress: 32.4% Elapsed: 5:22:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.52928
[INFO] 2021-01-01 13:37:45 > Step: 32500 Progress: 32.5% Elapsed: 5:23:32 temperature: no ada_p: No Discriminator_loss: 0.00331449 Generator_loss: 1.90907
[INFO] 2021-01-01 13:38:40 > Step: 32600 Progress: 32.6% Elapsed: 5:24:27 temperature: no ada_p: No Discriminator_loss: 0.0473992 Generator_loss: 1.942
[INFO] 2021-01-01 13:39:35 > Step: 32700 Progress: 32.7% Elapsed: 5:25:22 temperature: no ada_p: No Discriminator_loss: 0.0161429 Generator_loss: 1.65119
[INFO] 2021-01-01 13:40:31 > Step: 32800 Progress: 32.8% Elapsed: 5:26:17 temperature: no ada_p: No Discriminator_loss: 0.00857054 Generator_loss: 1.84548
[INFO] 2021-01-01 13:41:25 > Step: 32900 Progress: 32.9% Elapsed: 5:27:12 temperature: no ada_p: No Discriminator_loss: 0.0314009 Generator_loss: 2.19367
[INFO] 2021-01-01 13:42:20 > Step: 33000 Progress: 33.0% Elapsed: 5:28:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.21296
[INFO] 2021-01-01 13:43:15 > Step: 33100 Progress: 33.1% Elapsed: 5:29:02 temperature: no ada_p: No Discriminator_loss: 0.00564001 Generator_loss: 2.10334
[INFO] 2021-01-01 13:44:11 > Step: 33200 Progress: 33.2% Elapsed: 5:29:58 temperature: no ada_p: No Discriminator_loss: 0.00220814 Generator_loss: 1.56516
[INFO] 2021-01-01 13:45:06 > Step: 33300 Progress: 33.3% Elapsed: 5:30:53 temperature: no ada_p: No Discriminator_loss: 0.0245658 Generator_loss: 1.77307
[INFO] 2021-01-01 13:46:01 > Step: 33400 Progress: 33.4% Elapsed: 5:31:48 temperature: no ada_p: No Discriminator_loss: 0.00437251 Generator_loss: 1.64472
[INFO] 2021-01-01 13:46:56 > Step: 33500 Progress: 33.5% Elapsed: 5:32:42 temperature: no ada_p: No Discriminator_loss: 2.12062 Generator_loss: 2.01865
[INFO] 2021-01-01 13:47:51 > Step: 33600 Progress: 33.6% Elapsed: 5:33:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.88009
[INFO] 2021-01-01 13:48:46 > Step: 33700 Progress: 33.7% Elapsed: 5:34:33 temperature: no ada_p: No Discriminator_loss: 0.64424 Generator_loss: -4.72974
[INFO] 2021-01-01 13:49:41 > Step: 33800 Progress: 33.8% Elapsed: 5:35:28 temperature: no ada_p: No Discriminator_loss: 0.0713931 Generator_loss: 3.25168
[INFO] 2021-01-01 13:50:36 > Step: 33900 Progress: 33.9% Elapsed: 5:36:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10203
[INFO] 2021-01-01 13:51:31 > Step: 34000 Progress: 34.0% Elapsed: 5:37:18 temperature: no ada_p: No Discriminator_loss: 0.00580391 Generator_loss: 1.52578
[INFO] 2021-01-01 13:51:31 > Start Evaluation (34000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:51:31 > Calculating FID Score....
[INFO] 2021-01-01 13:51:56 > Calculating Inception Score....
[INFO] 2021-01-01 13:52:11 > Calculate F_beta Score....
[INFO] 2021-01-01 13:52:55 > Calculate Accuracies....
[INFO] 2021-01-01 13:53:01 > Calculate Accuracies....
[INFO] 2021-01-01 13:53:02 > F_8 score (Step: 34000, Using valid images): 0.05702102813212931
[INFO] 2021-01-01 13:53:02 > F_1/8 score (Step: 34000, Using valid images): 0.09656704280902016
[INFO] 2021-01-01 13:53:02 > FID score (Step: 34000, Using valid moments): 177.17253411523984
[INFO] 2021-01-01 13:53:02 > Inception score (Step: 34000, 10000 generated images): 4.049377918243408
[INFO] 2021-01-01 13:53:02 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 13:53:04 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 13:53:58 > Step: 34100 Progress: 34.1% Elapsed: 5:39:45 temperature: no ada_p: No Discriminator_loss: 0.0104448 Generator_loss: 1.83842
[INFO] 2021-01-01 13:54:53 > Step: 34200 Progress: 34.2% Elapsed: 5:40:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.38097
[INFO] 2021-01-01 13:55:48 > Step: 34300 Progress: 34.3% Elapsed: 5:41:35 temperature: no ada_p: No Discriminator_loss: 9.32971e-05 Generator_loss: 1.76091
[INFO] 2021-01-01 13:56:44 > Step: 34400 Progress: 34.4% Elapsed: 5:42:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.21784
[INFO] 2021-01-01 13:57:39 > Step: 34500 Progress: 34.5% Elapsed: 5:43:25 temperature: no ada_p: No Discriminator_loss: 0.000280115 Generator_loss: 1.43686
[INFO] 2021-01-01 13:58:34 > Step: 34600 Progress: 34.6% Elapsed: 5:44:20 temperature: no ada_p: No Discriminator_loss: 0.0065085 Generator_loss: 1.96563
[INFO] 2021-01-01 13:59:28 > Step: 34700 Progress: 34.7% Elapsed: 5:45:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.15374
[INFO] 2021-01-01 14:00:24 > Step: 34800 Progress: 34.8% Elapsed: 5:46:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.86672
[INFO] 2021-01-01 14:01:19 > Step: 34900 Progress: 34.9% Elapsed: 5:47:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.02121
[INFO] 2021-01-01 14:02:14 > Step: 35000 Progress: 35.0% Elapsed: 5:48:00 temperature: no ada_p: No Discriminator_loss: 0.00458048 Generator_loss: 1.655
[INFO] 2021-01-01 14:03:09 > Step: 35100 Progress: 35.1% Elapsed: 5:48:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.79159
[INFO] 2021-01-01 14:04:04 > Step: 35200 Progress: 35.2% Elapsed: 5:49:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.68142
[INFO] 2021-01-01 14:04:59 > Step: 35300 Progress: 35.3% Elapsed: 5:50:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.14075
[INFO] 2021-01-01 14:05:54 > Step: 35400 Progress: 35.4% Elapsed: 5:51:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.26526
[INFO] 2021-01-01 14:06:50 > Step: 35500 Progress: 35.5% Elapsed: 5:52:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.59072
[INFO] 2021-01-01 14:07:45 > Step: 35600 Progress: 35.6% Elapsed: 5:53:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.95887
[INFO] 2021-01-01 14:08:40 > Step: 35700 Progress: 35.7% Elapsed: 5:54:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.14578
[INFO] 2021-01-01 14:09:34 > Step: 35800 Progress: 35.8% Elapsed: 5:55:21 temperature: no ada_p: No Discriminator_loss: 0.0150131 Generator_loss: 1.74432
[INFO] 2021-01-01 14:10:30 > Step: 35900 Progress: 35.9% Elapsed: 5:56:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.39941
[INFO] 2021-01-01 14:11:25 > Step: 36000 Progress: 36.0% Elapsed: 5:57:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.67802
[INFO] 2021-01-01 14:11:25 > Start Evaluation (36000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:11:25 > Calculating FID Score....
[INFO] 2021-01-01 14:11:49 > Calculating Inception Score....
[INFO] 2021-01-01 14:12:04 > Calculate F_beta Score....
[INFO] 2021-01-01 14:12:47 > Calculate Accuracies....
[INFO] 2021-01-01 14:12:53 > Calculate Accuracies....
[INFO] 2021-01-01 14:12:54 > F_8 score (Step: 36000, Using valid images): 0.08039959063543951
[INFO] 2021-01-01 14:12:54 > F_1/8 score (Step: 36000, Using valid images): 0.015741257321997614
[INFO] 2021-01-01 14:12:54 > FID score (Step: 36000, Using valid moments): 220.80853404707696
[INFO] 2021-01-01 14:12:54 > Inception score (Step: 36000, 10000 generated images): 2.4058516025543213
[INFO] 2021-01-01 14:12:54 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 14:12:56 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:13:50 > Step: 36100 Progress: 36.1% Elapsed: 5:59:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.3575
[INFO] 2021-01-01 14:14:45 > Step: 36200 Progress: 36.2% Elapsed: 6:00:32 temperature: no ada_p: No Discriminator_loss: 0.0137523 Generator_loss: 1.59165
[INFO] 2021-01-01 14:15:41 > Step: 36300 Progress: 36.3% Elapsed: 6:01:27 temperature: no ada_p: No Discriminator_loss: 0.00321173 Generator_loss: 1.47339
[INFO] 2021-01-01 14:16:36 > Step: 36400 Progress: 36.4% Elapsed: 6:02:22 temperature: no ada_p: No Discriminator_loss: 0.000565702 Generator_loss: 1.89776
[INFO] 2021-01-01 14:17:30 > Step: 36500 Progress: 36.5% Elapsed: 6:03:17 temperature: no ada_p: No Discriminator_loss: 2.30854 Generator_loss: 1.67377
[INFO] 2021-01-01 14:18:26 > Step: 36600 Progress: 36.6% Elapsed: 6:04:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.89112
[INFO] 2021-01-01 14:19:21 > Step: 36700 Progress: 36.7% Elapsed: 6:05:08 temperature: no ada_p: No Discriminator_loss: 0.00185465 Generator_loss: 1.43438
[INFO] 2021-01-01 14:20:16 > Step: 36800 Progress: 36.8% Elapsed: 6:06:03 temperature: no ada_p: No Discriminator_loss: 1.08066 Generator_loss: 2.08409
[INFO] 2021-01-01 14:21:11 > Step: 36900 Progress: 36.9% Elapsed: 6:06:58 temperature: no ada_p: No Discriminator_loss: 0.00332755 Generator_loss: 1.68147
[INFO] 2021-01-01 14:22:06 > Step: 37000 Progress: 37.0% Elapsed: 6:07:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.22947
[INFO] 2021-01-01 14:23:01 > Step: 37100 Progress: 37.1% Elapsed: 6:08:48 temperature: no ada_p: No Discriminator_loss: 0.0298845 Generator_loss: 2.1366
[INFO] 2021-01-01 14:23:56 > Step: 37200 Progress: 37.2% Elapsed: 6:09:43 temperature: no ada_p: No Discriminator_loss: 0.00384523 Generator_loss: 2.20179
[INFO] 2021-01-01 14:24:51 > Step: 37300 Progress: 37.3% Elapsed: 6:10:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.93616
[INFO] 2021-01-01 14:25:46 > Step: 37400 Progress: 37.4% Elapsed: 6:11:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.8971
[INFO] 2021-01-01 14:26:42 > Step: 37500 Progress: 37.5% Elapsed: 6:12:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.86827
[INFO] 2021-01-01 14:27:36 > Step: 37600 Progress: 37.6% Elapsed: 6:13:23 temperature: no ada_p: No Discriminator_loss: 0.00169247 Generator_loss: 1.7879
[INFO] 2021-01-01 14:28:31 > Step: 37700 Progress: 37.7% Elapsed: 6:14:18 temperature: no ada_p: No Discriminator_loss: 0.0023465 Generator_loss: 1.64637
[INFO] 2021-01-01 14:29:26 > Step: 37800 Progress: 37.8% Elapsed: 6:15:13 temperature: no ada_p: No Discriminator_loss: 0.0120362 Generator_loss: 1.68457
[INFO] 2021-01-01 14:30:22 > Step: 37900 Progress: 37.9% Elapsed: 6:16:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.00264
[INFO] 2021-01-01 14:31:17 > Step: 38000 Progress: 38.0% Elapsed: 6:17:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.13034
[INFO] 2021-01-01 14:31:17 > Start Evaluation (38000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:31:17 > Calculating FID Score....
[INFO] 2021-01-01 14:31:41 > Calculating Inception Score....
[INFO] 2021-01-01 14:31:56 > Calculate F_beta Score....
[INFO] 2021-01-01 14:32:39 > Calculate Accuracies....
[INFO] 2021-01-01 14:32:45 > Calculate Accuracies....
[INFO] 2021-01-01 14:32:47 > F_8 score (Step: 38000, Using valid images): 0.18033167878975592
[INFO] 2021-01-01 14:32:47 > F_1/8 score (Step: 38000, Using valid images): 0.0617203705617948
[INFO] 2021-01-01 14:32:47 > FID score (Step: 38000, Using valid moments): 204.2719472086817
[INFO] 2021-01-01 14:32:47 > Inception score (Step: 38000, 10000 generated images): 3.48022723197937
[INFO] 2021-01-01 14:32:47 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 14:32:48 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:33:43 > Step: 38100 Progress: 38.1% Elapsed: 6:19:30 temperature: no ada_p: No Discriminator_loss: 0.0100801 Generator_loss: 1.67654
[INFO] 2021-01-01 14:34:38 > Step: 38200 Progress: 38.2% Elapsed: 6:20:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.44866
[INFO] 2021-01-01 14:35:33 > Step: 38300 Progress: 38.3% Elapsed: 6:21:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.36091
[INFO] 2021-01-01 14:36:28 > Step: 38400 Progress: 38.4% Elapsed: 6:22:15 temperature: no ada_p: No Discriminator_loss: 0.0191718 Generator_loss: 2.02946
[INFO] 2021-01-01 14:37:23 > Step: 38500 Progress: 38.5% Elapsed: 6:23:10 temperature: no ada_p: No Discriminator_loss: 0.00331477 Generator_loss: 1.53333
[INFO] 2021-01-01 14:38:18 > Step: 38600 Progress: 38.6% Elapsed: 6:24:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.87268
[INFO] 2021-01-01 14:39:14 > Step: 38700 Progress: 38.7% Elapsed: 6:25:01 temperature: no ada_p: No Discriminator_loss: 1.53832 Generator_loss: 0.523839
[INFO] 2021-01-01 14:40:09 > Step: 38800 Progress: 38.8% Elapsed: 6:25:56 temperature: no ada_p: No Discriminator_loss: 0.0126778 Generator_loss: 1.99939
[INFO] 2021-01-01 14:41:04 > Step: 38900 Progress: 38.9% Elapsed: 6:26:51 temperature: no ada_p: No Discriminator_loss: 0.00573399 Generator_loss: 3.86145
[INFO] 2021-01-01 14:41:59 > Step: 39000 Progress: 39.0% Elapsed: 6:27:46 temperature: no ada_p: No Discriminator_loss: 0.00481131 Generator_loss: 2.69959
[INFO] 2021-01-01 14:42:55 > Step: 39100 Progress: 39.1% Elapsed: 6:28:41 temperature: no ada_p: No Discriminator_loss: 0.433043 Generator_loss: -1.57506
[INFO] 2021-01-01 14:43:50 > Step: 39200 Progress: 39.2% Elapsed: 6:29:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.61269
[INFO] 2021-01-01 14:44:44 > Step: 39300 Progress: 39.3% Elapsed: 6:30:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.63321
[INFO] 2021-01-01 14:45:40 > Step: 39400 Progress: 39.4% Elapsed: 6:31:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.99588
[INFO] 2021-01-01 14:46:35 > Step: 39500 Progress: 39.5% Elapsed: 6:32:21 temperature: no ada_p: No Discriminator_loss: 0.0491142 Generator_loss: 3.63999
[INFO] 2021-01-01 14:47:30 > Step: 39600 Progress: 39.6% Elapsed: 6:33:16 temperature: no ada_p: No Discriminator_loss: 0.00600497 Generator_loss: 2.29736
[INFO] 2021-01-01 14:48:24 > Step: 39700 Progress: 39.7% Elapsed: 6:34:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.67282
[INFO] 2021-01-01 14:49:20 > Step: 39800 Progress: 39.8% Elapsed: 6:35:07 temperature: no ada_p: No Discriminator_loss: 0.0357875 Generator_loss: 1.97939
[INFO] 2021-01-01 14:50:15 > Step: 39900 Progress: 39.9% Elapsed: 6:36:02 temperature: no ada_p: No Discriminator_loss: 4.98844e-05 Generator_loss: 2.26601
[INFO] 2021-01-01 14:51:10 > Step: 40000 Progress: 40.0% Elapsed: 6:36:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.59592
[INFO] 2021-01-01 14:51:10 > Start Evaluation (40000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:51:10 > Calculating FID Score....
[INFO] 2021-01-01 14:51:34 > Calculating Inception Score....
[INFO] 2021-01-01 14:51:49 > Calculate F_beta Score....
[INFO] 2021-01-01 14:52:33 > Calculate Accuracies....
[INFO] 2021-01-01 14:52:39 > Calculate Accuracies....
[INFO] 2021-01-01 14:52:41 > F_8 score (Step: 40000, Using valid images): 0.1350709243285655
[INFO] 2021-01-01 14:52:41 > F_1/8 score (Step: 40000, Using valid images): 0.04926725437134202
[INFO] 2021-01-01 14:52:41 > FID score (Step: 40000, Using valid moments): 194.3774447629802
[INFO] 2021-01-01 14:52:41 > Inception score (Step: 40000, 10000 generated images): 3.2189273834228516
[INFO] 2021-01-01 14:52:41 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 14:52:42 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 14:53:37 > Step: 40100 Progress: 40.1% Elapsed: 6:39:23 temperature: no ada_p: No Discriminator_loss: 0.00253417 Generator_loss: 1.63731
[INFO] 2021-01-01 14:54:32 > Step: 40200 Progress: 40.2% Elapsed: 6:40:19 temperature: no ada_p: No Discriminator_loss: 0.000684252 Generator_loss: 1.47446
[INFO] 2021-01-01 14:55:27 > Step: 40300 Progress: 40.3% Elapsed: 6:41:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.10071
[INFO] 2021-01-01 14:56:22 > Step: 40400 Progress: 40.4% Elapsed: 6:42:09 temperature: no ada_p: No Discriminator_loss: 0.00289437 Generator_loss: 2.31358
[INFO] 2021-01-01 14:57:17 > Step: 40500 Progress: 40.5% Elapsed: 6:43:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.69139
[INFO] 2021-01-01 14:58:12 > Step: 40600 Progress: 40.6% Elapsed: 6:43:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.89438
[INFO] 2021-01-01 14:59:07 > Step: 40700 Progress: 40.7% Elapsed: 6:44:54 temperature: no ada_p: No Discriminator_loss: 0.000990333 Generator_loss: 3.03619
[INFO] 2021-01-01 15:00:02 > Step: 40800 Progress: 40.8% Elapsed: 6:45:49 temperature: no ada_p: No Discriminator_loss: 0.000112098 Generator_loss: 1.73286
[INFO] 2021-01-01 15:00:57 > Step: 40900 Progress: 40.9% Elapsed: 6:46:44 temperature: no ada_p: No Discriminator_loss: 0.00660867 Generator_loss: 2.0674
[INFO] 2021-01-01 15:01:52 > Step: 41000 Progress: 41.0% Elapsed: 6:47:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.23308
[INFO] 2021-01-01 15:02:47 > Step: 41100 Progress: 41.1% Elapsed: 6:48:34 temperature: no ada_p: No Discriminator_loss: 0.00573512 Generator_loss: 1.93836
[INFO] 2021-01-01 15:03:42 > Step: 41200 Progress: 41.2% Elapsed: 6:49:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.27611
[INFO] 2021-01-01 15:04:37 > Step: 41300 Progress: 41.3% Elapsed: 6:50:24 temperature: no ada_p: No Discriminator_loss: 0.000366567 Generator_loss: 1.35612
[INFO] 2021-01-01 15:05:33 > Step: 41400 Progress: 41.4% Elapsed: 6:51:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.07145
[INFO] 2021-01-01 15:06:28 > Step: 41500 Progress: 41.5% Elapsed: 6:52:14 temperature: no ada_p: No Discriminator_loss: 4.68886e-05 Generator_loss: 2.12163
[INFO] 2021-01-01 15:07:22 > Step: 41600 Progress: 41.6% Elapsed: 6:53:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.92725
[INFO] 2021-01-01 15:08:17 > Step: 41700 Progress: 41.7% Elapsed: 6:54:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.74295
[INFO] 2021-01-01 15:09:13 > Step: 41800 Progress: 41.8% Elapsed: 6:55:00 temperature: no ada_p: No Discriminator_loss: 0.22194 Generator_loss: 4.35436
[INFO] 2021-01-01 15:10:08 > Step: 41900 Progress: 41.9% Elapsed: 6:55:55 temperature: no ada_p: No Discriminator_loss: 0.00028954 Generator_loss: 2.01832
[INFO] 2021-01-01 15:11:03 > Step: 42000 Progress: 42.0% Elapsed: 6:56:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.73364
[INFO] 2021-01-01 15:11:03 > Start Evaluation (42000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:11:03 > Calculating FID Score....
[INFO] 2021-01-01 15:11:28 > Calculating Inception Score....
[INFO] 2021-01-01 15:11:42 > Calculate F_beta Score....
[INFO] 2021-01-01 15:12:27 > Calculate Accuracies....
[INFO] 2021-01-01 15:12:33 > Calculate Accuracies....
[INFO] 2021-01-01 15:12:35 > F_8 score (Step: 42000, Using valid images): 0.07598062898038455
[INFO] 2021-01-01 15:12:35 > F_1/8 score (Step: 42000, Using valid images): 0.21083721082946122
[INFO] 2021-01-01 15:12:35 > FID score (Step: 42000, Using valid moments): 170.38492281431422
[INFO] 2021-01-01 15:12:35 > Inception score (Step: 42000, 10000 generated images): 4.551959991455078
[INFO] 2021-01-01 15:12:35 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 15:12:36 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:13:31 > Step: 42100 Progress: 42.1% Elapsed: 6:59:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.40979
[INFO] 2021-01-01 15:14:26 > Step: 42200 Progress: 42.2% Elapsed: 7:00:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.07035
[INFO] 2021-01-01 15:15:21 > Step: 42300 Progress: 42.3% Elapsed: 7:01:08 temperature: no ada_p: No Discriminator_loss: 0.00130991 Generator_loss: 1.86936
[INFO] 2021-01-01 15:16:16 > Step: 42400 Progress: 42.4% Elapsed: 7:02:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.59318
[INFO] 2021-01-01 15:17:11 > Step: 42500 Progress: 42.5% Elapsed: 7:02:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.09679
[INFO] 2021-01-01 15:18:07 > Step: 42600 Progress: 42.6% Elapsed: 7:03:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.75788
[INFO] 2021-01-01 15:19:02 > Step: 42700 Progress: 42.7% Elapsed: 7:04:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.80766
[INFO] 2021-01-01 15:19:56 > Step: 42800 Progress: 42.8% Elapsed: 7:05:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.42992
[INFO] 2021-01-01 15:20:51 > Step: 42900 Progress: 42.9% Elapsed: 7:06:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.44791
[INFO] 2021-01-01 15:21:47 > Step: 43000 Progress: 43.0% Elapsed: 7:07:34 temperature: no ada_p: No Discriminator_loss: 5.22349e-05 Generator_loss: 1.87566
[INFO] 2021-01-01 15:22:42 > Step: 43100 Progress: 43.1% Elapsed: 7:08:29 temperature: no ada_p: No Discriminator_loss: 0.00205692 Generator_loss: 1.68031
[INFO] 2021-01-01 15:23:37 > Step: 43200 Progress: 43.2% Elapsed: 7:09:24 temperature: no ada_p: No Discriminator_loss: 1.23527 Generator_loss: 2.6826
[INFO] 2021-01-01 15:24:32 > Step: 43300 Progress: 43.3% Elapsed: 7:10:19 temperature: no ada_p: No Discriminator_loss: 0.013064 Generator_loss: 2.03102
[INFO] 2021-01-01 15:25:27 > Step: 43400 Progress: 43.4% Elapsed: 7:11:14 temperature: no ada_p: No Discriminator_loss: 0.00785984 Generator_loss: 1.88851
[INFO] 2021-01-01 15:26:22 > Step: 43500 Progress: 43.5% Elapsed: 7:12:09 temperature: no ada_p: No Discriminator_loss: 0.0069005 Generator_loss: 2.33379
[INFO] 2021-01-01 15:27:17 > Step: 43600 Progress: 43.6% Elapsed: 7:13:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.564
[INFO] 2021-01-01 15:28:12 > Step: 43700 Progress: 43.7% Elapsed: 7:13:59 temperature: no ada_p: No Discriminator_loss: 1.92426 Generator_loss: 1.75758
[INFO] 2021-01-01 15:29:07 > Step: 43800 Progress: 43.8% Elapsed: 7:14:54 temperature: no ada_p: No Discriminator_loss: 0.00759321 Generator_loss: 1.66948
[INFO] 2021-01-01 15:30:02 > Step: 43900 Progress: 43.9% Elapsed: 7:15:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.67646
[INFO] 2021-01-01 15:30:57 > Step: 44000 Progress: 44.0% Elapsed: 7:16:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.30418
[INFO] 2021-01-01 15:30:57 > Start Evaluation (44000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:30:57 > Calculating FID Score....
[INFO] 2021-01-01 15:31:22 > Calculating Inception Score....
[INFO] 2021-01-01 15:31:37 > Calculate F_beta Score....
[INFO] 2021-01-01 15:32:21 > Calculate Accuracies....
[INFO] 2021-01-01 15:32:27 > Calculate Accuracies....
[INFO] 2021-01-01 15:32:28 > F_8 score (Step: 44000, Using valid images): 0.04613702335192724
[INFO] 2021-01-01 15:32:28 > F_1/8 score (Step: 44000, Using valid images): 0.11521623282588529
[INFO] 2021-01-01 15:32:28 > FID score (Step: 44000, Using valid moments): 169.76021045899427
[INFO] 2021-01-01 15:32:28 > Inception score (Step: 44000, 10000 generated images): 3.482370376586914
[INFO] 2021-01-01 15:32:28 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 15:32:30 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:33:25 > Step: 44100 Progress: 44.1% Elapsed: 7:19:11 temperature: no ada_p: No Discriminator_loss: 5.21729e-05 Generator_loss: 1.50816
[INFO] 2021-01-01 15:34:20 > Step: 44200 Progress: 44.2% Elapsed: 7:20:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.76629
[INFO] 2021-01-01 15:35:14 > Step: 44300 Progress: 44.3% Elapsed: 7:21:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.76672
[INFO] 2021-01-01 15:36:09 > Step: 44400 Progress: 44.4% Elapsed: 7:21:56 temperature: no ada_p: No Discriminator_loss: 0.000580617 Generator_loss: 1.64461
[INFO] 2021-01-01 15:37:05 > Step: 44500 Progress: 44.5% Elapsed: 7:22:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.30976
[INFO] 2021-01-01 15:38:00 > Step: 44600 Progress: 44.6% Elapsed: 7:23:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.93818
[INFO] 2021-01-01 15:38:54 > Step: 44700 Progress: 44.7% Elapsed: 7:24:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.56937
[INFO] 2021-01-01 15:39:49 > Step: 44800 Progress: 44.8% Elapsed: 7:25:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.94808
[INFO] 2021-01-01 15:40:45 > Step: 44900 Progress: 44.9% Elapsed: 7:26:31 temperature: no ada_p: No Discriminator_loss: 0.00066533 Generator_loss: 1.83839
[INFO] 2021-01-01 15:41:39 > Step: 45000 Progress: 45.0% Elapsed: 7:27:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.53573
[INFO] 2021-01-01 15:42:34 > Step: 45100 Progress: 45.1% Elapsed: 7:28:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.57554
[INFO] 2021-01-01 15:43:29 > Step: 45200 Progress: 45.2% Elapsed: 7:29:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.94304
[INFO] 2021-01-01 15:44:25 > Step: 45300 Progress: 45.3% Elapsed: 7:30:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.27961
[INFO] 2021-01-01 15:45:20 > Step: 45400 Progress: 45.4% Elapsed: 7:31:06 temperature: no ada_p: No Discriminator_loss: 0.00366302 Generator_loss: 2.02839
[INFO] 2021-01-01 15:46:14 > Step: 45500 Progress: 45.5% Elapsed: 7:32:01 temperature: no ada_p: No Discriminator_loss: 0.00368584 Generator_loss: 2.67197
[INFO] 2021-01-01 15:47:09 > Step: 45600 Progress: 45.6% Elapsed: 7:32:56 temperature: no ada_p: No Discriminator_loss: 6.67274e-05 Generator_loss: 1.58575
[INFO] 2021-01-01 15:48:05 > Step: 45700 Progress: 45.7% Elapsed: 7:33:51 temperature: no ada_p: No Discriminator_loss: 0.0131612 Generator_loss: 2.60774
[INFO] 2021-01-01 15:49:00 > Step: 45800 Progress: 45.8% Elapsed: 7:34:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.23603
[INFO] 2021-01-01 15:49:54 > Step: 45900 Progress: 45.9% Elapsed: 7:35:41 temperature: no ada_p: No Discriminator_loss: 0.000371005 Generator_loss: 2.05334
[INFO] 2021-01-01 15:50:49 > Step: 46000 Progress: 46.0% Elapsed: 7:36:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.53184
[INFO] 2021-01-01 15:50:49 > Start Evaluation (46000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:50:49 > Calculating FID Score....
[INFO] 2021-01-01 15:51:14 > Calculating Inception Score....
[INFO] 2021-01-01 15:51:29 > Calculate F_beta Score....
[INFO] 2021-01-01 15:52:13 > Calculate Accuracies....
[INFO] 2021-01-01 15:52:19 > Calculate Accuracies....
[INFO] 2021-01-01 15:52:21 > F_8 score (Step: 46000, Using valid images): 0.035125903010770086
[INFO] 2021-01-01 15:52:21 > F_1/8 score (Step: 46000, Using valid images): 0.0047852948726663
[INFO] 2021-01-01 15:52:21 > FID score (Step: 46000, Using valid moments): 230.33399020097278
[INFO] 2021-01-01 15:52:21 > Inception score (Step: 46000, 10000 generated images): 3.200969696044922
[INFO] 2021-01-01 15:52:21 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 15:52:22 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 15:53:18 > Step: 46100 Progress: 46.1% Elapsed: 7:39:04 temperature: no ada_p: No Discriminator_loss: 0.00561315 Generator_loss: 1.91235
[INFO] 2021-01-01 15:54:12 > Step: 46200 Progress: 46.2% Elapsed: 7:39:59 temperature: no ada_p: No Discriminator_loss: 0.000397078 Generator_loss: 1.85711
[INFO] 2021-01-01 15:55:07 > Step: 46300 Progress: 46.3% Elapsed: 7:40:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.99242
[INFO] 2021-01-01 15:56:02 > Step: 46400 Progress: 46.4% Elapsed: 7:41:49 temperature: no ada_p: No Discriminator_loss: 3.26368 Generator_loss: 3.13107
[INFO] 2021-01-01 15:56:58 > Step: 46500 Progress: 46.5% Elapsed: 7:42:44 temperature: no ada_p: No Discriminator_loss: 0.00232578 Generator_loss: 1.91309
[INFO] 2021-01-01 15:57:53 > Step: 46600 Progress: 46.6% Elapsed: 7:43:39 temperature: no ada_p: No Discriminator_loss: 0.000518757 Generator_loss: 1.75811
[INFO] 2021-01-01 15:58:48 > Step: 46700 Progress: 46.7% Elapsed: 7:44:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.77597
[INFO] 2021-01-01 15:59:43 > Step: 46800 Progress: 46.8% Elapsed: 7:45:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.02157
[INFO] 2021-01-01 16:00:38 > Step: 46900 Progress: 46.9% Elapsed: 7:46:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.90811
[INFO] 2021-01-01 16:01:33 > Step: 47000 Progress: 47.0% Elapsed: 7:47:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.70527
[INFO] 2021-01-01 16:02:28 > Step: 47100 Progress: 47.1% Elapsed: 7:48:15 temperature: no ada_p: No Discriminator_loss: 0.000441834 Generator_loss: 1.68589
[INFO] 2021-01-01 16:03:23 > Step: 47200 Progress: 47.2% Elapsed: 7:49:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.3994
[INFO] 2021-01-01 16:04:18 > Step: 47300 Progress: 47.3% Elapsed: 7:50:05 temperature: no ada_p: No Discriminator_loss: 0.000183776 Generator_loss: 1.49062
[INFO] 2021-01-01 16:05:13 > Step: 47400 Progress: 47.4% Elapsed: 7:51:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.99519
[INFO] 2021-01-01 16:06:08 > Step: 47500 Progress: 47.5% Elapsed: 7:51:55 temperature: no ada_p: No Discriminator_loss: 0.00115202 Generator_loss: 1.71778
[INFO] 2021-01-01 16:07:04 > Step: 47600 Progress: 47.6% Elapsed: 7:52:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.77471
[INFO] 2021-01-01 16:07:58 > Step: 47700 Progress: 47.7% Elapsed: 7:53:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.16809
[INFO] 2021-01-01 16:08:53 > Step: 47800 Progress: 47.8% Elapsed: 7:54:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.86716
[INFO] 2021-01-01 16:09:48 > Step: 47900 Progress: 47.9% Elapsed: 7:55:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.74039
[INFO] 2021-01-01 16:10:44 > Step: 48000 Progress: 48.0% Elapsed: 7:56:30 temperature: no ada_p: No Discriminator_loss: 0.000178244 Generator_loss: 1.31269
[INFO] 2021-01-01 16:10:44 > Start Evaluation (48000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:10:44 > Calculating FID Score....
[INFO] 2021-01-01 16:11:08 > Calculating Inception Score....
[INFO] 2021-01-01 16:11:23 > Calculate F_beta Score....
[INFO] 2021-01-01 16:12:07 > Calculate Accuracies....
[INFO] 2021-01-01 16:12:13 > Calculate Accuracies....
[INFO] 2021-01-01 16:12:15 > F_8 score (Step: 48000, Using valid images): 0.09228509219145502
[INFO] 2021-01-01 16:12:15 > F_1/8 score (Step: 48000, Using valid images): 0.0691057030009214
[INFO] 2021-01-01 16:12:15 > FID score (Step: 48000, Using valid moments): 198.6731213529356
[INFO] 2021-01-01 16:12:15 > Inception score (Step: 48000, 10000 generated images): 3.8597776889801025
[INFO] 2021-01-01 16:12:15 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 16:12:16 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:13:11 > Step: 48100 Progress: 48.1% Elapsed: 7:58:58 temperature: no ada_p: No Discriminator_loss: 0.000983605 Generator_loss: 2.46603
[INFO] 2021-01-01 16:14:06 > Step: 48200 Progress: 48.2% Elapsed: 7:59:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.56979
[INFO] 2021-01-01 16:15:01 > Step: 48300 Progress: 48.3% Elapsed: 8:00:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.62943
[INFO] 2021-01-01 16:15:56 > Step: 48400 Progress: 48.4% Elapsed: 8:01:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.07271
[INFO] 2021-01-01 16:16:51 > Step: 48500 Progress: 48.5% Elapsed: 8:02:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.58799
[INFO] 2021-01-01 16:17:46 > Step: 48600 Progress: 48.6% Elapsed: 8:03:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.51355
[INFO] 2021-01-01 16:18:41 > Step: 48700 Progress: 48.7% Elapsed: 8:04:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.72845
[INFO] 2021-01-01 16:19:36 > Step: 48800 Progress: 48.8% Elapsed: 8:05:23 temperature: no ada_p: No Discriminator_loss: 0.000929476 Generator_loss: 1.81558
[INFO] 2021-01-01 16:20:31 > Step: 48900 Progress: 48.9% Elapsed: 8:06:18 temperature: no ada_p: No Discriminator_loss: 0.125867 Generator_loss: 1.63362
[INFO] 2021-01-01 16:21:26 > Step: 49000 Progress: 49.0% Elapsed: 8:07:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.59359
[INFO] 2021-01-01 16:22:21 > Step: 49100 Progress: 49.1% Elapsed: 8:08:08 temperature: no ada_p: No Discriminator_loss: 9.24945e-05 Generator_loss: 1.53917
[INFO] 2021-01-01 16:23:16 > Step: 49200 Progress: 49.2% Elapsed: 8:09:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.68066
[INFO] 2021-01-01 16:24:11 > Step: 49300 Progress: 49.3% Elapsed: 8:09:58 temperature: no ada_p: No Discriminator_loss: 1.731 Generator_loss: 1.2026
[INFO] 2021-01-01 16:25:06 > Step: 49400 Progress: 49.4% Elapsed: 8:10:53 temperature: no ada_p: No Discriminator_loss: 0.00590468 Generator_loss: 1.90592
[INFO] 2021-01-01 16:26:01 > Step: 49500 Progress: 49.5% Elapsed: 8:11:48 temperature: no ada_p: No Discriminator_loss: 0.000794906 Generator_loss: 4.13004
[INFO] 2021-01-01 16:26:57 > Step: 49600 Progress: 49.6% Elapsed: 8:12:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.06213
[INFO] 2021-01-01 16:27:52 > Step: 49700 Progress: 49.7% Elapsed: 8:13:38 temperature: no ada_p: No Discriminator_loss: 0.267054 Generator_loss: 6.15168
[INFO] 2021-01-01 16:28:46 > Step: 49800 Progress: 49.8% Elapsed: 8:14:33 temperature: no ada_p: No Discriminator_loss: 0.00181955 Generator_loss: 1.99573
[INFO] 2021-01-01 16:29:41 > Step: 49900 Progress: 49.9% Elapsed: 8:15:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.2308
[INFO] 2021-01-01 16:30:37 > Step: 50000 Progress: 50.0% Elapsed: 8:16:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.46986
[INFO] 2021-01-01 16:30:37 > Start Evaluation (50000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:30:37 > Calculating FID Score....
[INFO] 2021-01-01 16:31:01 > Calculating Inception Score....
[INFO] 2021-01-01 16:31:16 > Calculate F_beta Score....
[INFO] 2021-01-01 16:32:01 > Calculate Accuracies....
[INFO] 2021-01-01 16:32:07 > Calculate Accuracies....
[INFO] 2021-01-01 16:32:08 > F_8 score (Step: 50000, Using valid images): 0.03183118753690244
[INFO] 2021-01-01 16:32:08 > F_1/8 score (Step: 50000, Using valid images): 0.08557683349586101
[INFO] 2021-01-01 16:32:08 > FID score (Step: 50000, Using valid moments): 183.83450895622832
[INFO] 2021-01-01 16:32:08 > Inception score (Step: 50000, 10000 generated images): 3.7262332439422607
[INFO] 2021-01-01 16:32:08 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 16:32:10 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:33:04 > Step: 50100 Progress: 50.1% Elapsed: 8:18:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.00688
[INFO] 2021-01-01 16:33:59 > Step: 50200 Progress: 50.2% Elapsed: 8:19:46 temperature: no ada_p: No Discriminator_loss: 0.00210285 Generator_loss: 2.27537
[INFO] 2021-01-01 16:34:54 > Step: 50300 Progress: 50.3% Elapsed: 8:20:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.14002
[INFO] 2021-01-01 16:35:50 > Step: 50400 Progress: 50.4% Elapsed: 8:21:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.46844
[INFO] 2021-01-01 16:36:44 > Step: 50500 Progress: 50.5% Elapsed: 8:22:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.48295
[INFO] 2021-01-01 16:37:39 > Step: 50600 Progress: 50.6% Elapsed: 8:23:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.26924
[INFO] 2021-01-01 16:38:34 > Step: 50700 Progress: 50.7% Elapsed: 8:24:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.91641
[INFO] 2021-01-01 16:39:30 > Step: 50800 Progress: 50.8% Elapsed: 8:25:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.22285
[INFO] 2021-01-01 16:40:25 > Step: 50900 Progress: 50.9% Elapsed: 8:26:12 temperature: no ada_p: No Discriminator_loss: 0.0140438 Generator_loss: 1.70096
[INFO] 2021-01-01 16:41:20 > Step: 51000 Progress: 51.0% Elapsed: 8:27:06 temperature: no ada_p: No Discriminator_loss: 0.00199247 Generator_loss: 2.84621
[INFO] 2021-01-01 16:42:15 > Step: 51100 Progress: 51.1% Elapsed: 8:28:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.09172
[INFO] 2021-01-01 16:43:10 > Step: 51200 Progress: 51.2% Elapsed: 8:28:57 temperature: no ada_p: No Discriminator_loss: 0.00181997 Generator_loss: 1.95734
[INFO] 2021-01-01 16:44:05 > Step: 51300 Progress: 51.3% Elapsed: 8:29:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.92126
[INFO] 2021-01-01 16:45:00 > Step: 51400 Progress: 51.4% Elapsed: 8:30:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.83906
[INFO] 2021-01-01 16:45:55 > Step: 51500 Progress: 51.5% Elapsed: 8:31:42 temperature: no ada_p: No Discriminator_loss: 0.0239479 Generator_loss: 2.5669
[INFO] 2021-01-01 16:46:50 > Step: 51600 Progress: 51.6% Elapsed: 8:32:37 temperature: no ada_p: No Discriminator_loss: 0.00104159 Generator_loss: 1.89659
[INFO] 2021-01-01 16:47:45 > Step: 51700 Progress: 51.7% Elapsed: 8:33:32 temperature: no ada_p: No Discriminator_loss: 0.110589 Generator_loss: 2.51412
[INFO] 2021-01-01 16:48:40 > Step: 51800 Progress: 51.8% Elapsed: 8:34:27 temperature: no ada_p: No Discriminator_loss: 0.0215959 Generator_loss: 2.11691
[INFO] 2021-01-01 16:49:36 > Step: 51900 Progress: 51.9% Elapsed: 8:35:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.55202
[INFO] 2021-01-01 16:50:30 > Step: 52000 Progress: 52.0% Elapsed: 8:36:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.40649
[INFO] 2021-01-01 16:50:30 > Start Evaluation (52000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:50:30 > Calculating FID Score....
[INFO] 2021-01-01 16:50:55 > Calculating Inception Score....
[INFO] 2021-01-01 16:51:10 > Calculate F_beta Score....
[INFO] 2021-01-01 16:51:54 > Calculate Accuracies....
[INFO] 2021-01-01 16:51:59 > Calculate Accuracies....
[INFO] 2021-01-01 16:52:01 > F_8 score (Step: 52000, Using valid images): 0.037019948248505206
[INFO] 2021-01-01 16:52:01 > F_1/8 score (Step: 52000, Using valid images): 0.11049105659265433
[INFO] 2021-01-01 16:52:01 > FID score (Step: 52000, Using valid moments): 177.95352914518963
[INFO] 2021-01-01 16:52:01 > Inception score (Step: 52000, 10000 generated images): 3.481700897216797
[INFO] 2021-01-01 16:52:01 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 16:52:02 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 16:52:57 > Step: 52100 Progress: 52.1% Elapsed: 8:38:44 temperature: no ada_p: No Discriminator_loss: 0.0123049 Generator_loss: 1.67029
[INFO] 2021-01-01 16:53:52 > Step: 52200 Progress: 52.2% Elapsed: 8:39:39 temperature: no ada_p: No Discriminator_loss: 0.00277045 Generator_loss: 2.15167
[INFO] 2021-01-01 16:54:47 > Step: 52300 Progress: 52.3% Elapsed: 8:40:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.94076
[INFO] 2021-01-01 16:55:42 > Step: 52400 Progress: 52.4% Elapsed: 8:41:29 temperature: no ada_p: No Discriminator_loss: 0.109238 Generator_loss: 2.89832
[INFO] 2021-01-01 16:56:37 > Step: 52500 Progress: 52.5% Elapsed: 8:42:24 temperature: no ada_p: No Discriminator_loss: 0.00443303 Generator_loss: 1.64968
[INFO] 2021-01-01 16:57:32 > Step: 52600 Progress: 52.6% Elapsed: 8:43:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.4441
[INFO] 2021-01-01 16:58:28 > Step: 52700 Progress: 52.7% Elapsed: 8:44:14 temperature: no ada_p: No Discriminator_loss: 0.00151377 Generator_loss: 1.91409
[INFO] 2021-01-01 16:59:23 > Step: 52800 Progress: 52.8% Elapsed: 8:45:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.2142
[INFO] 2021-01-01 17:00:17 > Step: 52900 Progress: 52.9% Elapsed: 8:46:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.05053
[INFO] 2021-01-01 17:01:12 > Step: 53000 Progress: 53.0% Elapsed: 8:46:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.67324
[INFO] 2021-01-01 17:02:08 > Step: 53100 Progress: 53.1% Elapsed: 8:47:54 temperature: no ada_p: No Discriminator_loss: 0.000604569 Generator_loss: 2.10134
[INFO] 2021-01-01 17:03:03 > Step: 53200 Progress: 53.2% Elapsed: 8:48:49 temperature: no ada_p: No Discriminator_loss: 0.0342701 Generator_loss: 2.22238
[INFO] 2021-01-01 17:03:58 > Step: 53300 Progress: 53.3% Elapsed: 8:49:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.05953
[INFO] 2021-01-01 17:04:52 > Step: 53400 Progress: 53.4% Elapsed: 8:50:39 temperature: no ada_p: No Discriminator_loss: 0.000593506 Generator_loss: 1.90778
[INFO] 2021-01-01 17:05:48 > Step: 53500 Progress: 53.5% Elapsed: 8:51:35 temperature: no ada_p: No Discriminator_loss: 0.00390177 Generator_loss: 2.03149
[INFO] 2021-01-01 17:06:43 > Step: 53600 Progress: 53.6% Elapsed: 8:52:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.98075
[INFO] 2021-01-01 17:07:38 > Step: 53700 Progress: 53.7% Elapsed: 8:53:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.86348
[INFO] 2021-01-01 17:08:33 > Step: 53800 Progress: 53.8% Elapsed: 8:54:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.44055
[INFO] 2021-01-01 17:09:28 > Step: 53900 Progress: 53.9% Elapsed: 8:55:15 temperature: no ada_p: No Discriminator_loss: 0.21363 Generator_loss: 1.8789
[INFO] 2021-01-01 17:10:23 > Step: 54000 Progress: 54.0% Elapsed: 8:56:10 temperature: no ada_p: No Discriminator_loss: 0.0021428 Generator_loss: 2.06101
[INFO] 2021-01-01 17:10:23 > Start Evaluation (54000 Step): GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 17:10:23 > Calculating FID Score....
[INFO] 2021-01-01 17:10:48 > Calculating Inception Score....
[INFO] 2021-01-01 17:11:02 > Calculate F_beta Score....
[INFO] 2021-01-01 17:11:45 > Calculate Accuracies....
[INFO] 2021-01-01 17:11:51 > Calculate Accuracies....
[INFO] 2021-01-01 17:11:53 > F_8 score (Step: 54000, Using valid images): 0.025673370359544232
[INFO] 2021-01-01 17:11:53 > F_1/8 score (Step: 54000, Using valid images): 0.052576008802028805
[INFO] 2021-01-01 17:11:53 > FID score (Step: 54000, Using valid moments): 197.32521074107513
[INFO] 2021-01-01 17:11:53 > Inception score (Step: 54000, 10000 generated images): 2.986715793609619
[INFO] 2021-01-01 17:11:53 > Best FID score (Step: 6000, Using valid moments): 102.0936047705199
[INFO] 2021-01-01 17:11:54 > Save model to checkpoints/GGAN-train-2021_01_01_08_13_58
[INFO] 2021-01-01 17:12:49 > Step: 54100 Progress: 54.1% Elapsed: 8:58:35 temperature: no ada_p: No Discriminator_loss: 0.00592411 Generator_loss: 2.07186
[INFO] 2021-01-01 17:13:44 > Step: 54200 Progress: 54.2% Elapsed: 8:59:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.49122
[INFO] 2021-01-01 17:14:39 > Step: 54300 Progress: 54.3% Elapsed: 9:00:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.53615
[INFO] 2021-01-01 17:15:34 > Step: 54400 Progress: 54.4% Elapsed: 9:01:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.32991
[INFO] 2021-01-01 17:16:29 > Step: 54500 Progress: 54.5% Elapsed: 9:02:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.98296
[INFO] 2021-01-01 17:17:24 > Step: 54600 Progress: 54.6% Elapsed: 9:03:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.30914
[INFO] 2021-01-01 17:18:19 > Step: 54700 Progress: 54.7% Elapsed: 9:04:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.48931
[INFO] 2021-01-01 17:19:14 > Step: 54800 Progress: 54.8% Elapsed: 9:05:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.71233
[INFO] 2021-01-01 17:20:09 > Step: 54900 Progress: 54.9% Elapsed: 9:05:56 temperature: no ada_p: No Discriminator_loss: 1.427e-05 Generator_loss: 1.4318
[INFO] 2021-01-01 17:21:05 > Step: 55000 Progress: 55.0% Elapsed: 9:06:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.55638