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LSGAN-train-2021_01_01_08_13_17.log
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LSGAN-train-2021_01_01_08_13_17.log
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[INFO] 2021-01-01 08:13:17 > Run name : LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 08:13:17 > {'config_path': './src/configs/TINY_ILSVRC2012/LSGAN.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 08:13:17 > {'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': 'least_square', '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 08:13:17 > Load train datasets...
[INFO] 2021-01-01 08:13:21 > Train dataset size : 100000
[INFO] 2021-01-01 08:13:21 > Load valid datasets...
[INFO] 2021-01-01 08:13:21 > Eval dataset size : 10000
[INFO] 2021-01-01 08:13:21 > Build model...
[INFO] 2021-01-01 08:13:21 > Modules are located on models.resnet.
[INFO] 2021-01-01 08:13:26 > Number of parameters: 12220675
[INFO] 2021-01-01 08:13:26 > 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 08:13:26 > Number of parameters: 19550535
[INFO] 2021-01-01 08:13:26 > 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 08:13:29 > Start training....
[INFO] 2021-01-01 08:14:29 > Step: 100 Progress: 0.1% Elapsed: 0:00:59 temperature: no ada_p: No Discriminator_loss: 2.05879 Generator_loss: 0.461615
[INFO] 2021-01-01 08:15:24 > Step: 200 Progress: 0.2% Elapsed: 0:01:54 temperature: no ada_p: No Discriminator_loss: 0.869793 Generator_loss: 0.110735
[INFO] 2021-01-01 08:16:19 > Step: 300 Progress: 0.3% Elapsed: 0:02:49 temperature: no ada_p: No Discriminator_loss: 0.247556 Generator_loss: 0.751958
[INFO] 2021-01-01 08:17:18 > Step: 400 Progress: 0.4% Elapsed: 0:03:48 temperature: no ada_p: No Discriminator_loss: 0.257227 Generator_loss: 1.09805
[INFO] 2021-01-01 08:18:17 > Step: 500 Progress: 0.5% Elapsed: 0:04:47 temperature: no ada_p: No Discriminator_loss: 0.349676 Generator_loss: 1.21599
[INFO] 2021-01-01 08:19:17 > Step: 600 Progress: 0.6% Elapsed: 0:05:47 temperature: no ada_p: No Discriminator_loss: 0.0724644 Generator_loss: 0.822981
[INFO] 2021-01-01 08:20:16 > Step: 700 Progress: 0.7% Elapsed: 0:06:46 temperature: no ada_p: No Discriminator_loss: 0.630966 Generator_loss: 1.7047
[INFO] 2021-01-01 08:21:15 > Step: 800 Progress: 0.8% Elapsed: 0:07:45 temperature: no ada_p: No Discriminator_loss: 0.0925412 Generator_loss: 0.911199
[INFO] 2021-01-01 08:22:14 > Step: 900 Progress: 0.9% Elapsed: 0:08:44 temperature: no ada_p: No Discriminator_loss: 0.209789 Generator_loss: 0.0704206
[INFO] 2021-01-01 08:23:13 > Step: 1000 Progress: 1.0% Elapsed: 0:09:43 temperature: no ada_p: No Discriminator_loss: 0.203717 Generator_loss: 1.08916
[INFO] 2021-01-01 08:24:12 > Step: 1100 Progress: 1.1% Elapsed: 0:10:42 temperature: no ada_p: No Discriminator_loss: 0.0333837 Generator_loss: 0.459815
[INFO] 2021-01-01 08:25:11 > Step: 1200 Progress: 1.2% Elapsed: 0:11:41 temperature: no ada_p: No Discriminator_loss: 0.0381194 Generator_loss: 0.38267
[INFO] 2021-01-01 08:26:09 > Step: 1300 Progress: 1.3% Elapsed: 0:12:39 temperature: no ada_p: No Discriminator_loss: 0.0389268 Generator_loss: 0.393304
[INFO] 2021-01-01 08:27:08 > Step: 1400 Progress: 1.4% Elapsed: 0:13:38 temperature: no ada_p: No Discriminator_loss: 0.037668 Generator_loss: 0.380782
[INFO] 2021-01-01 08:28:06 > Step: 1500 Progress: 1.5% Elapsed: 0:14:36 temperature: no ada_p: No Discriminator_loss: 0.0744399 Generator_loss: 0.43734
[INFO] 2021-01-01 08:29:05 > Step: 1600 Progress: 1.6% Elapsed: 0:15:35 temperature: no ada_p: No Discriminator_loss: 0.0476196 Generator_loss: 0.538913
[INFO] 2021-01-01 08:30:03 > Step: 1700 Progress: 1.7% Elapsed: 0:16:34 temperature: no ada_p: No Discriminator_loss: 0.0354646 Generator_loss: 0.488557
[INFO] 2021-01-01 08:31:02 > Step: 1800 Progress: 1.8% Elapsed: 0:17:32 temperature: no ada_p: No Discriminator_loss: 0.16339 Generator_loss: 0.915223
[INFO] 2021-01-01 08:32:01 > Step: 1900 Progress: 1.9% Elapsed: 0:18:31 temperature: no ada_p: No Discriminator_loss: 0.0478301 Generator_loss: 0.528929
[INFO] 2021-01-01 08:32:59 > Step: 2000 Progress: 2.0% Elapsed: 0:19:29 temperature: no ada_p: No Discriminator_loss: 0.054448 Generator_loss: 0.357694
[INFO] 2021-01-01 08:32:59 > Start Evaluation (2000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 08:32:59 > Calculating FID Score....
[INFO] 2021-01-01 08:33:28 > Calculating Inception Score....
[INFO] 2021-01-01 08:33:42 > Calculate F_beta Score....
[INFO] 2021-01-01 08:34:29 > Calculate Accuracies....
[INFO] 2021-01-01 08:34:35 > Calculate Accuracies....
[INFO] 2021-01-01 08:34:37 > F_8 score (Step: 2000, Using valid images): 9.140400660367866e-05
[INFO] 2021-01-01 08:34:37 > F_1/8 score (Step: 2000, Using valid images): 0.005315615025176935
[INFO] 2021-01-01 08:34:37 > FID score (Step: 2000, Using valid moments): 293.94746717201673
[INFO] 2021-01-01 08:34:37 > Inception score (Step: 2000, 10000 generated images): 1.482186198234558
[INFO] 2021-01-01 08:34:37 > Best FID score (Step: 2000, Using valid moments): 293.94746717201673
[INFO] 2021-01-01 08:34:39 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 08:35:37 > Step: 2100 Progress: 2.1% Elapsed: 0:22:07 temperature: no ada_p: No Discriminator_loss: 0.092073 Generator_loss: 0.226275
[INFO] 2021-01-01 08:36:36 > Step: 2200 Progress: 2.2% Elapsed: 0:23:06 temperature: no ada_p: No Discriminator_loss: 0.174904 Generator_loss: 0.17242
[INFO] 2021-01-01 08:37:35 > Step: 2300 Progress: 2.3% Elapsed: 0:24:06 temperature: no ada_p: No Discriminator_loss: 0.0345281 Generator_loss: 0.505495
[INFO] 2021-01-01 08:38:35 > Step: 2400 Progress: 2.4% Elapsed: 0:25:05 temperature: no ada_p: No Discriminator_loss: 0.0701946 Generator_loss: 0.703341
[INFO] 2021-01-01 08:39:34 > Step: 2500 Progress: 2.5% Elapsed: 0:26:04 temperature: no ada_p: No Discriminator_loss: 0.0380256 Generator_loss: 0.386244
[INFO] 2021-01-01 08:40:33 > Step: 2600 Progress: 2.6% Elapsed: 0:27:03 temperature: no ada_p: No Discriminator_loss: 0.121579 Generator_loss: 0.2151
[INFO] 2021-01-01 08:41:31 > Step: 2700 Progress: 2.7% Elapsed: 0:28:01 temperature: no ada_p: No Discriminator_loss: 0.0327631 Generator_loss: 0.538225
[INFO] 2021-01-01 08:42:30 > Step: 2800 Progress: 2.8% Elapsed: 0:29:01 temperature: no ada_p: No Discriminator_loss: 0.0251809 Generator_loss: 0.429781
[INFO] 2021-01-01 08:43:29 > Step: 2900 Progress: 2.9% Elapsed: 0:29:59 temperature: no ada_p: No Discriminator_loss: 0.0360724 Generator_loss: 0.484801
[INFO] 2021-01-01 08:44:28 > Step: 3000 Progress: 3.0% Elapsed: 0:30:58 temperature: no ada_p: No Discriminator_loss: 0.0414881 Generator_loss: 0.331746
[INFO] 2021-01-01 08:45:26 > Step: 3100 Progress: 3.1% Elapsed: 0:31:56 temperature: no ada_p: No Discriminator_loss: 0.0856706 Generator_loss: 0.261735
[INFO] 2021-01-01 08:46:25 > Step: 3200 Progress: 3.2% Elapsed: 0:32:55 temperature: no ada_p: No Discriminator_loss: 0.162272 Generator_loss: 0.146227
[INFO] 2021-01-01 08:47:24 > Step: 3300 Progress: 3.3% Elapsed: 0:33:54 temperature: no ada_p: No Discriminator_loss: 0.0414026 Generator_loss: 0.505653
[INFO] 2021-01-01 08:48:22 > Step: 3400 Progress: 3.4% Elapsed: 0:34:52 temperature: no ada_p: No Discriminator_loss: 0.0909391 Generator_loss: 0.607847
[INFO] 2021-01-01 08:49:21 > Step: 3500 Progress: 3.5% Elapsed: 0:35:51 temperature: no ada_p: No Discriminator_loss: 0.0253444 Generator_loss: 0.427727
[INFO] 2021-01-01 08:50:20 > Step: 3600 Progress: 3.6% Elapsed: 0:36:50 temperature: no ada_p: No Discriminator_loss: 0.0236724 Generator_loss: 0.444331
[INFO] 2021-01-01 08:51:18 > Step: 3700 Progress: 3.7% Elapsed: 0:37:49 temperature: no ada_p: No Discriminator_loss: 0.0423978 Generator_loss: 0.520127
[INFO] 2021-01-01 08:52:17 > Step: 3800 Progress: 3.8% Elapsed: 0:38:47 temperature: no ada_p: No Discriminator_loss: 0.0330804 Generator_loss: 0.557131
[INFO] 2021-01-01 08:53:16 > Step: 3900 Progress: 3.9% Elapsed: 0:39:46 temperature: no ada_p: No Discriminator_loss: 0.356283 Generator_loss: 0.129419
[INFO] 2021-01-01 08:54:15 > Step: 4000 Progress: 4.0% Elapsed: 0:40:45 temperature: no ada_p: No Discriminator_loss: 0.0408169 Generator_loss: 0.625473
[INFO] 2021-01-01 08:54:15 > Start Evaluation (4000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 08:54:15 > Calculating FID Score....
[INFO] 2021-01-01 08:54:41 > Calculating Inception Score....
[INFO] 2021-01-01 08:54:56 > Calculate F_beta Score....
[INFO] 2021-01-01 08:55:40 > Calculate Accuracies....
[INFO] 2021-01-01 08:55:46 > Calculate Accuracies....
[INFO] 2021-01-01 08:55:48 > F_8 score (Step: 4000, Using valid images): 0.000182799040202252
[INFO] 2021-01-01 08:55:48 > F_1/8 score (Step: 4000, Using valid images): 0.010152290008697938
[INFO] 2021-01-01 08:55:48 > FID score (Step: 4000, Using valid moments): 305.4941498122281
[INFO] 2021-01-01 08:55:48 > Inception score (Step: 4000, 10000 generated images): 1.593381404876709
[INFO] 2021-01-01 08:55:48 > Best FID score (Step: 2000, Using valid moments): 293.94746717201673
[INFO] 2021-01-01 08:55:49 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 08:56:47 > Step: 4100 Progress: 4.1% Elapsed: 0:43:17 temperature: no ada_p: No Discriminator_loss: 0.0218219 Generator_loss: 0.492029
[INFO] 2021-01-01 08:57:46 > Step: 4200 Progress: 4.2% Elapsed: 0:44:16 temperature: no ada_p: No Discriminator_loss: 0.0335708 Generator_loss: 0.352595
[INFO] 2021-01-01 08:58:46 > Step: 4300 Progress: 4.3% Elapsed: 0:45:16 temperature: no ada_p: No Discriminator_loss: 0.0154781 Generator_loss: 0.433679
[INFO] 2021-01-01 08:59:45 > Step: 4400 Progress: 4.4% Elapsed: 0:46:15 temperature: no ada_p: No Discriminator_loss: 0.0586162 Generator_loss: 0.293011
[INFO] 2021-01-01 09:00:43 > Step: 4500 Progress: 4.5% Elapsed: 0:47:13 temperature: no ada_p: No Discriminator_loss: 0.0211283 Generator_loss: 0.408534
[INFO] 2021-01-01 09:01:42 > Step: 4600 Progress: 4.6% Elapsed: 0:48:12 temperature: no ada_p: No Discriminator_loss: 0.0171846 Generator_loss: 0.448889
[INFO] 2021-01-01 09:02:41 > Step: 4700 Progress: 4.7% Elapsed: 0:49:12 temperature: no ada_p: No Discriminator_loss: 0.0181729 Generator_loss: 0.512672
[INFO] 2021-01-01 09:03:40 > Step: 4800 Progress: 4.8% Elapsed: 0:50:10 temperature: no ada_p: No Discriminator_loss: 0.0130468 Generator_loss: 0.491363
[INFO] 2021-01-01 09:04:39 > Step: 4900 Progress: 4.9% Elapsed: 0:51:09 temperature: no ada_p: No Discriminator_loss: 0.107845 Generator_loss: 0.201154
[INFO] 2021-01-01 09:05:37 > Step: 5000 Progress: 5.0% Elapsed: 0:52:07 temperature: no ada_p: No Discriminator_loss: 0.0708372 Generator_loss: 0.585598
[INFO] 2021-01-01 09:06:36 > Step: 5100 Progress: 5.1% Elapsed: 0:53:06 temperature: no ada_p: No Discriminator_loss: 0.0217586 Generator_loss: 0.384866
[INFO] 2021-01-01 09:07:35 > Step: 5200 Progress: 5.2% Elapsed: 0:54:05 temperature: no ada_p: No Discriminator_loss: 0.097452 Generator_loss: 0.541686
[INFO] 2021-01-01 09:08:33 > Step: 5300 Progress: 5.3% Elapsed: 0:55:03 temperature: no ada_p: No Discriminator_loss: 0.0768181 Generator_loss: 0.265017
[INFO] 2021-01-01 09:09:32 > Step: 5400 Progress: 5.4% Elapsed: 0:56:02 temperature: no ada_p: No Discriminator_loss: 0.285444 Generator_loss: 0.61594
[INFO] 2021-01-01 09:10:31 > Step: 5500 Progress: 5.5% Elapsed: 0:57:01 temperature: no ada_p: No Discriminator_loss: 0.0352577 Generator_loss: 0.364218
[INFO] 2021-01-01 09:11:30 > Step: 5600 Progress: 5.6% Elapsed: 0:58:00 temperature: no ada_p: No Discriminator_loss: 0.056213 Generator_loss: 0.553374
[INFO] 2021-01-01 09:12:28 > Step: 5700 Progress: 5.7% Elapsed: 0:58:58 temperature: no ada_p: No Discriminator_loss: 0.0725845 Generator_loss: 0.529119
[INFO] 2021-01-01 09:13:27 > Step: 5800 Progress: 5.8% Elapsed: 0:59:57 temperature: no ada_p: No Discriminator_loss: 0.0767822 Generator_loss: 0.40973
[INFO] 2021-01-01 09:14:26 > Step: 5900 Progress: 5.9% Elapsed: 1:00:56 temperature: no ada_p: No Discriminator_loss: 0.0733792 Generator_loss: 0.312055
[INFO] 2021-01-01 09:15:24 > Step: 6000 Progress: 6.0% Elapsed: 1:01:54 temperature: no ada_p: No Discriminator_loss: 0.0636709 Generator_loss: 0.285541
[INFO] 2021-01-01 09:15:24 > Start Evaluation (6000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 09:15:24 > Calculating FID Score....
[INFO] 2021-01-01 09:15:50 > Calculating Inception Score....
[INFO] 2021-01-01 09:16:05 > Calculate F_beta Score....
[INFO] 2021-01-01 09:16:55 > Calculate Accuracies....
[INFO] 2021-01-01 09:17:01 > Calculate Accuracies....
[INFO] 2021-01-01 09:17:03 > F_8 score (Step: 6000, Using valid images): 0.0031256813903019634
[INFO] 2021-01-01 09:17:03 > F_1/8 score (Step: 6000, Using valid images): 0.06098474496334956
[INFO] 2021-01-01 09:17:03 > FID score (Step: 6000, Using valid moments): 195.33463913257802
[INFO] 2021-01-01 09:17:03 > Inception score (Step: 6000, 10000 generated images): 2.433245897293091
[INFO] 2021-01-01 09:17:03 > Best FID score (Step: 6000, Using valid moments): 195.33463913257802
[INFO] 2021-01-01 09:17:05 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 09:18:03 > Step: 6100 Progress: 6.1% Elapsed: 1:04:33 temperature: no ada_p: No Discriminator_loss: 0.0732896 Generator_loss: 0.266128
[INFO] 2021-01-01 09:19:02 > Step: 6200 Progress: 6.2% Elapsed: 1:05:32 temperature: no ada_p: No Discriminator_loss: 0.0655912 Generator_loss: 0.308809
[INFO] 2021-01-01 09:20:02 > Step: 6300 Progress: 6.3% Elapsed: 1:06:32 temperature: no ada_p: No Discriminator_loss: 0.0848265 Generator_loss: 0.324826
[INFO] 2021-01-01 09:21:01 > Step: 6400 Progress: 6.4% Elapsed: 1:07:31 temperature: no ada_p: No Discriminator_loss: 0.118879 Generator_loss: 0.819842
[INFO] 2021-01-01 09:22:00 > Step: 6500 Progress: 6.5% Elapsed: 1:08:30 temperature: no ada_p: No Discriminator_loss: 0.068105 Generator_loss: 0.611168
[INFO] 2021-01-01 09:22:59 > Step: 6600 Progress: 6.6% Elapsed: 1:09:29 temperature: no ada_p: No Discriminator_loss: 0.150444 Generator_loss: 0.238225
[INFO] 2021-01-01 09:23:58 > Step: 6700 Progress: 6.7% Elapsed: 1:10:28 temperature: no ada_p: No Discriminator_loss: 0.0558624 Generator_loss: 0.518528
[INFO] 2021-01-01 09:24:57 > Step: 6800 Progress: 6.8% Elapsed: 1:11:27 temperature: no ada_p: No Discriminator_loss: 0.102309 Generator_loss: 0.53632
[INFO] 2021-01-01 09:25:55 > Step: 6900 Progress: 6.9% Elapsed: 1:12:25 temperature: no ada_p: No Discriminator_loss: 0.124284 Generator_loss: 0.284586
[INFO] 2021-01-01 09:26:54 > Step: 7000 Progress: 7.0% Elapsed: 1:13:24 temperature: no ada_p: No Discriminator_loss: 0.0576302 Generator_loss: 0.399661
[INFO] 2021-01-01 09:27:53 > Step: 7100 Progress: 7.1% Elapsed: 1:14:23 temperature: no ada_p: No Discriminator_loss: 0.0833776 Generator_loss: 0.435543
[INFO] 2021-01-01 09:28:51 > Step: 7200 Progress: 7.2% Elapsed: 1:15:22 temperature: no ada_p: No Discriminator_loss: 0.099721 Generator_loss: 0.28703
[INFO] 2021-01-01 09:29:50 > Step: 7300 Progress: 7.3% Elapsed: 1:16:20 temperature: no ada_p: No Discriminator_loss: 0.0858297 Generator_loss: 0.503497
[INFO] 2021-01-01 09:30:48 > Step: 7400 Progress: 7.4% Elapsed: 1:17:19 temperature: no ada_p: No Discriminator_loss: 0.0478928 Generator_loss: 0.477935
[INFO] 2021-01-01 09:31:47 > Step: 7500 Progress: 7.5% Elapsed: 1:18:18 temperature: no ada_p: No Discriminator_loss: 0.0980811 Generator_loss: 0.502443
[INFO] 2021-01-01 09:32:46 > Step: 7600 Progress: 7.6% Elapsed: 1:19:16 temperature: no ada_p: No Discriminator_loss: 0.0628695 Generator_loss: 0.431653
[INFO] 2021-01-01 09:33:45 > Step: 7700 Progress: 7.7% Elapsed: 1:20:15 temperature: no ada_p: No Discriminator_loss: 0.0848218 Generator_loss: 0.411414
[INFO] 2021-01-01 09:34:43 > Step: 7800 Progress: 7.8% Elapsed: 1:21:13 temperature: no ada_p: No Discriminator_loss: 0.151871 Generator_loss: 0.263568
[INFO] 2021-01-01 09:35:42 > Step: 7900 Progress: 7.9% Elapsed: 1:22:12 temperature: no ada_p: No Discriminator_loss: 0.0615086 Generator_loss: 0.29329
[INFO] 2021-01-01 09:36:41 > Step: 8000 Progress: 8.0% Elapsed: 1:23:11 temperature: no ada_p: No Discriminator_loss: 0.107089 Generator_loss: 0.272716
[INFO] 2021-01-01 09:36:41 > Start Evaluation (8000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 09:36:41 > Calculating FID Score....
[INFO] 2021-01-01 09:37:06 > Calculating Inception Score....
[INFO] 2021-01-01 09:37:21 > Calculate F_beta Score....
[INFO] 2021-01-01 09:38:08 > Calculate Accuracies....
[INFO] 2021-01-01 09:38:14 > Calculate Accuracies....
[INFO] 2021-01-01 09:38:16 > F_8 score (Step: 8000, Using valid images): 0.15031110980344758
[INFO] 2021-01-01 09:38:16 > F_1/8 score (Step: 8000, Using valid images): 0.27036534199783757
[INFO] 2021-01-01 09:38:16 > FID score (Step: 8000, Using valid moments): 127.75617284777616
[INFO] 2021-01-01 09:38:16 > Inception score (Step: 8000, 10000 generated images): 4.27843713760376
[INFO] 2021-01-01 09:38:16 > Best FID score (Step: 8000, Using valid moments): 127.75617284777616
[INFO] 2021-01-01 09:38:18 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 09:39:16 > Step: 8100 Progress: 8.1% Elapsed: 1:25:46 temperature: no ada_p: No Discriminator_loss: 0.235294 Generator_loss: 0.512455
[INFO] 2021-01-01 09:40:16 > Step: 8200 Progress: 8.2% Elapsed: 1:26:46 temperature: no ada_p: No Discriminator_loss: 0.0794949 Generator_loss: 0.542136
[INFO] 2021-01-01 09:41:15 > Step: 8300 Progress: 8.3% Elapsed: 1:27:45 temperature: no ada_p: No Discriminator_loss: 0.0709451 Generator_loss: 0.539919
[INFO] 2021-01-01 09:42:14 > Step: 8400 Progress: 8.4% Elapsed: 1:28:44 temperature: no ada_p: No Discriminator_loss: 0.0546325 Generator_loss: 0.301754
[INFO] 2021-01-01 09:43:13 > Step: 8500 Progress: 8.5% Elapsed: 1:29:43 temperature: no ada_p: No Discriminator_loss: 0.0756601 Generator_loss: 0.281644
[INFO] 2021-01-01 09:44:12 > Step: 8600 Progress: 8.6% Elapsed: 1:30:42 temperature: no ada_p: No Discriminator_loss: 0.0811861 Generator_loss: 0.27642
[INFO] 2021-01-01 09:45:11 > Step: 8700 Progress: 8.7% Elapsed: 1:31:41 temperature: no ada_p: No Discriminator_loss: 0.149796 Generator_loss: 0.26417
[INFO] 2021-01-01 09:46:09 > Step: 8800 Progress: 8.8% Elapsed: 1:32:39 temperature: no ada_p: No Discriminator_loss: 0.129333 Generator_loss: 0.231724
[INFO] 2021-01-01 09:47:08 > Step: 8900 Progress: 8.9% Elapsed: 1:33:38 temperature: no ada_p: No Discriminator_loss: 0.078873 Generator_loss: 0.580347
[INFO] 2021-01-01 09:48:07 > Step: 9000 Progress: 9.0% Elapsed: 1:34:37 temperature: no ada_p: No Discriminator_loss: 0.100935 Generator_loss: 0.640123
[INFO] 2021-01-01 09:49:06 > Step: 9100 Progress: 9.1% Elapsed: 1:35:36 temperature: no ada_p: No Discriminator_loss: 0.0978018 Generator_loss: 0.429618
[INFO] 2021-01-01 09:50:04 > Step: 9200 Progress: 9.2% Elapsed: 1:36:34 temperature: no ada_p: No Discriminator_loss: 0.083678 Generator_loss: 0.60539
[INFO] 2021-01-01 09:51:03 > Step: 9300 Progress: 9.3% Elapsed: 1:37:33 temperature: no ada_p: No Discriminator_loss: 0.101097 Generator_loss: 0.207866
[INFO] 2021-01-01 09:52:02 > Step: 9400 Progress: 9.4% Elapsed: 1:38:32 temperature: no ada_p: No Discriminator_loss: 0.102197 Generator_loss: 0.497524
[INFO] 2021-01-01 09:53:01 > Step: 9500 Progress: 9.5% Elapsed: 1:39:31 temperature: no ada_p: No Discriminator_loss: 0.078109 Generator_loss: 0.469074
[INFO] 2021-01-01 09:53:59 > Step: 9600 Progress: 9.6% Elapsed: 1:40:30 temperature: no ada_p: No Discriminator_loss: 0.0708386 Generator_loss: 0.322219
[INFO] 2021-01-01 09:54:58 > Step: 9700 Progress: 9.7% Elapsed: 1:41:28 temperature: no ada_p: No Discriminator_loss: 0.108634 Generator_loss: 0.326117
[INFO] 2021-01-01 09:55:57 > Step: 9800 Progress: 9.8% Elapsed: 1:42:27 temperature: no ada_p: No Discriminator_loss: 0.184057 Generator_loss: 0.268512
[INFO] 2021-01-01 09:56:55 > Step: 9900 Progress: 9.9% Elapsed: 1:43:25 temperature: no ada_p: No Discriminator_loss: 0.0691556 Generator_loss: 0.478104
[INFO] 2021-01-01 09:57:54 > Step: 10000 Progress: 10.0% Elapsed: 1:44:24 temperature: no ada_p: No Discriminator_loss: 0.0998157 Generator_loss: 0.583017
[INFO] 2021-01-01 09:57:54 > Start Evaluation (10000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 09:57:54 > Calculating FID Score....
[INFO] 2021-01-01 09:58:19 > Calculating Inception Score....
[INFO] 2021-01-01 09:58:34 > Calculate F_beta Score....
[INFO] 2021-01-01 09:59:24 > Calculate Accuracies....
[INFO] 2021-01-01 09:59:30 > Calculate Accuracies....
[INFO] 2021-01-01 09:59:32 > F_8 score (Step: 10000, Using valid images): 0.32772114133665986
[INFO] 2021-01-01 09:59:32 > F_1/8 score (Step: 10000, Using valid images): 0.49707331823766965
[INFO] 2021-01-01 09:59:32 > FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 09:59:32 > Inception score (Step: 10000, 10000 generated images): 5.58183479309082
[INFO] 2021-01-01 09:59:32 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 09:59:34 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 10:00:32 > Step: 10100 Progress: 10.1% Elapsed: 1:47:02 temperature: no ada_p: No Discriminator_loss: 0.0760993 Generator_loss: 0.589388
[INFO] 2021-01-01 10:01:33 > Step: 10200 Progress: 10.2% Elapsed: 1:48:03 temperature: no ada_p: No Discriminator_loss: 0.0813034 Generator_loss: 0.420753
[INFO] 2021-01-01 10:02:32 > Step: 10300 Progress: 10.3% Elapsed: 1:49:02 temperature: no ada_p: No Discriminator_loss: 0.109422 Generator_loss: 0.278031
[INFO] 2021-01-01 10:03:31 > Step: 10400 Progress: 10.4% Elapsed: 1:50:01 temperature: no ada_p: No Discriminator_loss: 0.138492 Generator_loss: 0.397542
[INFO] 2021-01-01 10:04:30 > Step: 10500 Progress: 10.5% Elapsed: 1:51:00 temperature: no ada_p: No Discriminator_loss: 0.233944 Generator_loss: 0.250637
[INFO] 2021-01-01 10:05:30 > Step: 10600 Progress: 10.6% Elapsed: 1:52:00 temperature: no ada_p: No Discriminator_loss: 0.0420506 Generator_loss: 0.350085
[INFO] 2021-01-01 10:06:28 > Step: 10700 Progress: 10.7% Elapsed: 1:52:59 temperature: no ada_p: No Discriminator_loss: 0.123261 Generator_loss: 0.25956
[INFO] 2021-01-01 10:07:27 > Step: 10800 Progress: 10.8% Elapsed: 1:53:57 temperature: no ada_p: No Discriminator_loss: 0.0795373 Generator_loss: 0.273006
[INFO] 2021-01-01 10:08:26 > Step: 10900 Progress: 10.9% Elapsed: 1:54:56 temperature: no ada_p: No Discriminator_loss: 0.0617288 Generator_loss: 0.535927
[INFO] 2021-01-01 10:09:25 > Step: 11000 Progress: 11.0% Elapsed: 1:55:55 temperature: no ada_p: No Discriminator_loss: 0.0776315 Generator_loss: 0.547183
[INFO] 2021-01-01 10:10:23 > Step: 11100 Progress: 11.1% Elapsed: 1:56:53 temperature: no ada_p: No Discriminator_loss: 0.0670974 Generator_loss: 0.45099
[INFO] 2021-01-01 10:11:22 > Step: 11200 Progress: 11.2% Elapsed: 1:57:52 temperature: no ada_p: No Discriminator_loss: 2.36232 Generator_loss: 1741.13
[INFO] 2021-01-01 10:12:20 > Step: 11300 Progress: 11.3% Elapsed: 1:58:50 temperature: no ada_p: No Discriminator_loss: 1.67724 Generator_loss: 0.652902
[INFO] 2021-01-01 10:13:19 > Step: 11400 Progress: 11.4% Elapsed: 1:59:50 temperature: no ada_p: No Discriminator_loss: 1.48138 Generator_loss: 0.946666
[INFO] 2021-01-01 10:14:18 > Step: 11500 Progress: 11.5% Elapsed: 2:00:48 temperature: no ada_p: No Discriminator_loss: 0.646602 Generator_loss: 0.796011
[INFO] 2021-01-01 10:15:16 > Step: 11600 Progress: 11.6% Elapsed: 2:01:47 temperature: no ada_p: No Discriminator_loss: 0.372856 Generator_loss: 0.759624
[INFO] 2021-01-01 10:16:15 > Step: 11700 Progress: 11.7% Elapsed: 2:02:45 temperature: no ada_p: No Discriminator_loss: 0.189178 Generator_loss: 0.346721
[INFO] 2021-01-01 10:17:14 > Step: 11800 Progress: 11.8% Elapsed: 2:03:44 temperature: no ada_p: No Discriminator_loss: 0.758206 Generator_loss: 0.452357
[INFO] 2021-01-01 10:18:12 > Step: 11900 Progress: 11.9% Elapsed: 2:04:42 temperature: no ada_p: No Discriminator_loss: 0.115924 Generator_loss: 0.414249
[INFO] 2021-01-01 10:19:11 > Step: 12000 Progress: 12.0% Elapsed: 2:05:41 temperature: no ada_p: No Discriminator_loss: 0.140054 Generator_loss: 0.560522
[INFO] 2021-01-01 10:19:11 > Start Evaluation (12000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 10:19:11 > Calculating FID Score....
[INFO] 2021-01-01 10:19:36 > Calculating Inception Score....
[INFO] 2021-01-01 10:19:51 > Calculate F_beta Score....
[INFO] 2021-01-01 10:20:36 > Calculate Accuracies....
[INFO] 2021-01-01 10:20:42 > Calculate Accuracies....
[INFO] 2021-01-01 10:20:44 > F_8 score (Step: 12000, Using valid images): 0.006517273976161154
[INFO] 2021-01-01 10:20:44 > F_1/8 score (Step: 12000, Using valid images): 0.0013410677340543807
[INFO] 2021-01-01 10:20:44 > FID score (Step: 12000, Using valid moments): 283.19681389515347
[INFO] 2021-01-01 10:20:44 > Inception score (Step: 12000, 10000 generated images): 1.6683827638626099
[INFO] 2021-01-01 10:20:44 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 10:20:45 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 10:21:43 > Step: 12100 Progress: 12.1% Elapsed: 2:08:13 temperature: no ada_p: No Discriminator_loss: 0.143991 Generator_loss: 0.529083
[INFO] 2021-01-01 10:22:42 > Step: 12200 Progress: 12.2% Elapsed: 2:09:12 temperature: no ada_p: No Discriminator_loss: 0.11602 Generator_loss: 0.458282
[INFO] 2021-01-01 10:23:41 > Step: 12300 Progress: 12.3% Elapsed: 2:10:11 temperature: no ada_p: No Discriminator_loss: 0.121832 Generator_loss: 0.433161
[INFO] 2021-01-01 10:24:40 > Step: 12400 Progress: 12.4% Elapsed: 2:11:10 temperature: no ada_p: No Discriminator_loss: 0.221919 Generator_loss: 0.277466
[INFO] 2021-01-01 10:25:39 > Step: 12500 Progress: 12.5% Elapsed: 2:12:09 temperature: no ada_p: No Discriminator_loss: 0.150425 Generator_loss: 0.631046
[INFO] 2021-01-01 10:26:38 > Step: 12600 Progress: 12.6% Elapsed: 2:13:08 temperature: no ada_p: No Discriminator_loss: 0.086664 Generator_loss: 0.329583
[INFO] 2021-01-01 10:27:36 > Step: 12700 Progress: 12.7% Elapsed: 2:14:07 temperature: no ada_p: No Discriminator_loss: 0.100659 Generator_loss: 0.464491
[INFO] 2021-01-01 10:28:35 > Step: 12800 Progress: 12.8% Elapsed: 2:15:05 temperature: no ada_p: No Discriminator_loss: 0.0728702 Generator_loss: 0.423274
[INFO] 2021-01-01 10:29:34 > Step: 12900 Progress: 12.9% Elapsed: 2:16:04 temperature: no ada_p: No Discriminator_loss: 0.0554858 Generator_loss: 0.429477
[INFO] 2021-01-01 10:30:32 > Step: 13000 Progress: 13.0% Elapsed: 2:17:03 temperature: no ada_p: No Discriminator_loss: 0.0610248 Generator_loss: 0.444182
[INFO] 2021-01-01 10:31:31 > Step: 13100 Progress: 13.1% Elapsed: 2:18:01 temperature: no ada_p: No Discriminator_loss: 0.0921928 Generator_loss: 0.460834
[INFO] 2021-01-01 10:32:29 > Step: 13200 Progress: 13.2% Elapsed: 2:18:59 temperature: no ada_p: No Discriminator_loss: 0.23309 Generator_loss: 0.614072
[INFO] 2021-01-01 10:33:28 > Step: 13300 Progress: 13.3% Elapsed: 2:19:59 temperature: no ada_p: No Discriminator_loss: 0.0777271 Generator_loss: 0.543835
[INFO] 2021-01-01 10:34:27 > Step: 13400 Progress: 13.4% Elapsed: 2:20:57 temperature: no ada_p: No Discriminator_loss: 0.0377303 Generator_loss: 0.517284
[INFO] 2021-01-01 10:35:25 > Step: 13500 Progress: 13.5% Elapsed: 2:21:56 temperature: no ada_p: No Discriminator_loss: 0.279529 Generator_loss: 0.7443
[INFO] 2021-01-01 10:36:24 > Step: 13600 Progress: 13.6% Elapsed: 2:22:54 temperature: no ada_p: No Discriminator_loss: 0.12455 Generator_loss: 0.430737
[INFO] 2021-01-01 10:37:23 > Step: 13700 Progress: 13.7% Elapsed: 2:23:53 temperature: no ada_p: No Discriminator_loss: 0.202042 Generator_loss: 0.643024
[INFO] 2021-01-01 10:38:21 > Step: 13800 Progress: 13.8% Elapsed: 2:24:51 temperature: no ada_p: No Discriminator_loss: 0.243457 Generator_loss: 0.418428
[INFO] 2021-01-01 10:39:20 > Step: 13900 Progress: 13.9% Elapsed: 2:25:50 temperature: no ada_p: No Discriminator_loss: 0.127854 Generator_loss: 0.533706
[INFO] 2021-01-01 10:40:18 > Step: 14000 Progress: 14.0% Elapsed: 2:26:48 temperature: no ada_p: No Discriminator_loss: 0.067736 Generator_loss: 0.300532
[INFO] 2021-01-01 10:40:18 > Start Evaluation (14000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 10:40:18 > Calculating FID Score....
[INFO] 2021-01-01 10:40:43 > Calculating Inception Score....
[INFO] 2021-01-01 10:40:58 > Calculate F_beta Score....
[INFO] 2021-01-01 10:41:42 > Calculate Accuracies....
[INFO] 2021-01-01 10:41:48 > Calculate Accuracies....
[INFO] 2021-01-01 10:41:49 > F_8 score (Step: 14000, Using valid images): 1.0156000731526428e-05
[INFO] 2021-01-01 10:41:49 > F_1/8 score (Step: 14000, Using valid images): 0.0005906234121118889
[INFO] 2021-01-01 10:41:49 > FID score (Step: 14000, Using valid moments): 282.96333823868935
[INFO] 2021-01-01 10:41:49 > Inception score (Step: 14000, 10000 generated images): 1.69508695602417
[INFO] 2021-01-01 10:41:49 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 10:41:51 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 10:42:49 > Step: 14100 Progress: 14.1% Elapsed: 2:29:19 temperature: no ada_p: No Discriminator_loss: 0.0735449 Generator_loss: 0.357781
[INFO] 2021-01-01 10:43:48 > Step: 14200 Progress: 14.2% Elapsed: 2:30:18 temperature: no ada_p: No Discriminator_loss: 0.166986 Generator_loss: 0.555219
[INFO] 2021-01-01 10:44:47 > Step: 14300 Progress: 14.3% Elapsed: 2:31:17 temperature: no ada_p: No Discriminator_loss: 0.129507 Generator_loss: 0.643481
[INFO] 2021-01-01 10:45:46 > Step: 14400 Progress: 14.4% Elapsed: 2:32:16 temperature: no ada_p: No Discriminator_loss: 0.0958579 Generator_loss: 0.372017
[INFO] 2021-01-01 10:46:45 > Step: 14500 Progress: 14.5% Elapsed: 2:33:15 temperature: no ada_p: No Discriminator_loss: 0.108513 Generator_loss: 0.68221
[INFO] 2021-01-01 10:47:44 > Step: 14600 Progress: 14.6% Elapsed: 2:34:14 temperature: no ada_p: No Discriminator_loss: 0.0539021 Generator_loss: 0.348804
[INFO] 2021-01-01 10:48:42 > Step: 14700 Progress: 14.7% Elapsed: 2:35:13 temperature: no ada_p: No Discriminator_loss: 0.0698241 Generator_loss: 0.415121
[INFO] 2021-01-01 10:49:41 > Step: 14800 Progress: 14.8% Elapsed: 2:36:11 temperature: no ada_p: No Discriminator_loss: 0.163569 Generator_loss: 0.336717
[INFO] 2021-01-01 10:50:40 > Step: 14900 Progress: 14.9% Elapsed: 2:37:10 temperature: no ada_p: No Discriminator_loss: 0.0427965 Generator_loss: 0.517605
[INFO] 2021-01-01 10:51:39 > Step: 15000 Progress: 15.0% Elapsed: 2:38:09 temperature: no ada_p: No Discriminator_loss: 0.160415 Generator_loss: 0.375773
[INFO] 2021-01-01 10:52:37 > Step: 15100 Progress: 15.1% Elapsed: 2:39:07 temperature: no ada_p: No Discriminator_loss: 0.354703 Generator_loss: 0.623406
[INFO] 2021-01-01 10:53:35 > Step: 15200 Progress: 15.2% Elapsed: 2:40:06 temperature: no ada_p: No Discriminator_loss: 0.0388896 Generator_loss: 0.403131
[INFO] 2021-01-01 10:54:35 > Step: 15300 Progress: 15.3% Elapsed: 2:41:05 temperature: no ada_p: No Discriminator_loss: 0.289983 Generator_loss: 0.748913
[INFO] 2021-01-01 10:55:33 > Step: 15400 Progress: 15.4% Elapsed: 2:42:03 temperature: no ada_p: No Discriminator_loss: 0.317143 Generator_loss: 0.588845
[INFO] 2021-01-01 10:56:31 > Step: 15500 Progress: 15.5% Elapsed: 2:43:02 temperature: no ada_p: No Discriminator_loss: 0.469625 Generator_loss: 0.0958952
[INFO] 2021-01-01 10:57:30 > Step: 15600 Progress: 15.6% Elapsed: 2:44:00 temperature: no ada_p: No Discriminator_loss: 0.0687256 Generator_loss: 0.478127
[INFO] 2021-01-01 10:58:29 > Step: 15700 Progress: 15.7% Elapsed: 2:44:59 temperature: no ada_p: No Discriminator_loss: 0.0440091 Generator_loss: 0.452558
[INFO] 2021-01-01 10:59:27 > Step: 15800 Progress: 15.8% Elapsed: 2:45:58 temperature: no ada_p: No Discriminator_loss: 0.10725 Generator_loss: 0.277648
[INFO] 2021-01-01 11:00:26 > Step: 15900 Progress: 15.9% Elapsed: 2:46:56 temperature: no ada_p: No Discriminator_loss: 0.242484 Generator_loss: 0.674124
[INFO] 2021-01-01 11:01:25 > Step: 16000 Progress: 16.0% Elapsed: 2:47:55 temperature: no ada_p: No Discriminator_loss: 0.1521 Generator_loss: 0.400759
[INFO] 2021-01-01 11:01:25 > Start Evaluation (16000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:01:25 > Calculating FID Score....
[INFO] 2021-01-01 11:01:50 > Calculating Inception Score....
[INFO] 2021-01-01 11:02:05 > Calculate F_beta Score....
[INFO] 2021-01-01 11:02:48 > Calculate Accuracies....
[INFO] 2021-01-01 11:02:54 > Calculate Accuracies....
[INFO] 2021-01-01 11:02:56 > F_8 score (Step: 16000, Using valid images): 0.0
[INFO] 2021-01-01 11:02:56 > F_1/8 score (Step: 16000, Using valid images): 0.0
[INFO] 2021-01-01 11:02:56 > FID score (Step: 16000, Using valid moments): 293.6660342389872
[INFO] 2021-01-01 11:02:56 > Inception score (Step: 16000, 10000 generated images): 1.6981825828552246
[INFO] 2021-01-01 11:02:56 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 11:02:57 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:03:55 > Step: 16100 Progress: 16.1% Elapsed: 2:50:25 temperature: no ada_p: No Discriminator_loss: 0.124353 Generator_loss: 0.307876
[INFO] 2021-01-01 11:04:54 > Step: 16200 Progress: 16.2% Elapsed: 2:51:24 temperature: no ada_p: No Discriminator_loss: 0.158746 Generator_loss: 0.41341
[INFO] 2021-01-01 11:05:53 > Step: 16300 Progress: 16.3% Elapsed: 2:52:23 temperature: no ada_p: No Discriminator_loss: 0.04388 Generator_loss: 0.509583
[INFO] 2021-01-01 11:06:52 > Step: 16400 Progress: 16.4% Elapsed: 2:53:22 temperature: no ada_p: No Discriminator_loss: 0.514772 Generator_loss: 0.197619
[INFO] 2021-01-01 11:07:51 > Step: 16500 Progress: 16.5% Elapsed: 2:54:21 temperature: no ada_p: No Discriminator_loss: 0.0660999 Generator_loss: 0.493243
[INFO] 2021-01-01 11:08:49 > Step: 16600 Progress: 16.6% Elapsed: 2:55:20 temperature: no ada_p: No Discriminator_loss: 0.281252 Generator_loss: 0.570039
[INFO] 2021-01-01 11:09:48 > Step: 16700 Progress: 16.7% Elapsed: 2:56:18 temperature: no ada_p: No Discriminator_loss: 0.0579272 Generator_loss: 0.675254
[INFO] 2021-01-01 11:10:47 > Step: 16800 Progress: 16.8% Elapsed: 2:57:17 temperature: no ada_p: No Discriminator_loss: 0.0941045 Generator_loss: 0.363013
[INFO] 2021-01-01 11:11:46 > Step: 16900 Progress: 16.9% Elapsed: 2:58:16 temperature: no ada_p: No Discriminator_loss: 0.0945859 Generator_loss: 0.30933
[INFO] 2021-01-01 11:12:44 > Step: 17000 Progress: 17.0% Elapsed: 2:59:14 temperature: no ada_p: No Discriminator_loss: 0.127075 Generator_loss: 0.439537
[INFO] 2021-01-01 11:13:43 > Step: 17100 Progress: 17.1% Elapsed: 3:00:13 temperature: no ada_p: No Discriminator_loss: 0.128289 Generator_loss: 0.238604
[INFO] 2021-01-01 11:14:42 > Step: 17200 Progress: 17.2% Elapsed: 3:01:12 temperature: no ada_p: No Discriminator_loss: 0.0573587 Generator_loss: 0.356991
[INFO] 2021-01-01 11:15:40 > Step: 17300 Progress: 17.3% Elapsed: 3:02:10 temperature: no ada_p: No Discriminator_loss: 0.0507166 Generator_loss: 0.366097
[INFO] 2021-01-01 11:16:39 > Step: 17400 Progress: 17.4% Elapsed: 3:03:09 temperature: no ada_p: No Discriminator_loss: 0.0664968 Generator_loss: 0.462107
[INFO] 2021-01-01 11:17:37 > Step: 17500 Progress: 17.5% Elapsed: 3:04:07 temperature: no ada_p: No Discriminator_loss: 0.068698 Generator_loss: 0.364175
[INFO] 2021-01-01 11:18:36 > Step: 17600 Progress: 17.6% Elapsed: 3:05:06 temperature: no ada_p: No Discriminator_loss: 0.170721 Generator_loss: 0.222961
[INFO] 2021-01-01 11:19:35 > Step: 17700 Progress: 17.7% Elapsed: 3:06:05 temperature: no ada_p: No Discriminator_loss: 0.152466 Generator_loss: 0.341082
[INFO] 2021-01-01 11:20:33 > Step: 17800 Progress: 17.8% Elapsed: 3:07:03 temperature: no ada_p: No Discriminator_loss: 0.461013 Generator_loss: 0.304762
[INFO] 2021-01-01 11:21:31 > Step: 17900 Progress: 17.9% Elapsed: 3:08:01 temperature: no ada_p: No Discriminator_loss: 0.13187 Generator_loss: 0.446319
[INFO] 2021-01-01 11:22:30 > Step: 18000 Progress: 18.0% Elapsed: 3:09:00 temperature: no ada_p: No Discriminator_loss: 0.289682 Generator_loss: 0.26479
[INFO] 2021-01-01 11:22:30 > Start Evaluation (18000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:22:30 > Calculating FID Score....
[INFO] 2021-01-01 11:22:56 > Calculating Inception Score....
[INFO] 2021-01-01 11:23:11 > Calculate F_beta Score....
[INFO] 2021-01-01 11:23:56 > Calculate Accuracies....
[INFO] 2021-01-01 11:24:02 > Calculate Accuracies....
[INFO] 2021-01-01 11:24:03 > F_8 score (Step: 18000, Using valid images): 1.015575147407419e-05
[INFO] 2021-01-01 11:24:03 > F_1/8 score (Step: 18000, Using valid images): 0.0005411865402644679
[INFO] 2021-01-01 11:24:03 > FID score (Step: 18000, Using valid moments): 282.8553006165381
[INFO] 2021-01-01 11:24:03 > Inception score (Step: 18000, 10000 generated images): 1.6568198204040527
[INFO] 2021-01-01 11:24:03 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 11:24:05 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:25:03 > Step: 18100 Progress: 18.1% Elapsed: 3:11:33 temperature: no ada_p: No Discriminator_loss: 0.152258 Generator_loss: 0.26061
[INFO] 2021-01-01 11:26:02 > Step: 18200 Progress: 18.2% Elapsed: 3:12:32 temperature: no ada_p: No Discriminator_loss: 0.220392 Generator_loss: 0.206824
[INFO] 2021-01-01 11:27:01 > Step: 18300 Progress: 18.3% Elapsed: 3:13:31 temperature: no ada_p: No Discriminator_loss: 0.308608 Generator_loss: 0.325038
[INFO] 2021-01-01 11:28:00 > Step: 18400 Progress: 18.4% Elapsed: 3:14:30 temperature: no ada_p: No Discriminator_loss: 0.140155 Generator_loss: 0.281011
[INFO] 2021-01-01 11:28:59 > Step: 18500 Progress: 18.5% Elapsed: 3:15:29 temperature: no ada_p: No Discriminator_loss: 0.172531 Generator_loss: 0.148432
[INFO] 2021-01-01 11:29:58 > Step: 18600 Progress: 18.6% Elapsed: 3:16:28 temperature: no ada_p: No Discriminator_loss: 0.111473 Generator_loss: 0.253329
[INFO] 2021-01-01 11:30:56 > Step: 18700 Progress: 18.7% Elapsed: 3:17:26 temperature: no ada_p: No Discriminator_loss: 0.184284 Generator_loss: 0.16984
[INFO] 2021-01-01 11:31:56 > Step: 18800 Progress: 18.8% Elapsed: 3:18:26 temperature: no ada_p: No Discriminator_loss: 0.295112 Generator_loss: 0.261791
[INFO] 2021-01-01 11:32:54 > Step: 18900 Progress: 18.9% Elapsed: 3:19:24 temperature: no ada_p: No Discriminator_loss: 0.346362 Generator_loss: 0.233633
[INFO] 2021-01-01 11:33:52 > Step: 19000 Progress: 19.0% Elapsed: 3:20:23 temperature: no ada_p: No Discriminator_loss: 0.178668 Generator_loss: 0.391084
[INFO] 2021-01-01 11:34:51 > Step: 19100 Progress: 19.1% Elapsed: 3:21:21 temperature: no ada_p: No Discriminator_loss: 0.206464 Generator_loss: 0.343691
[INFO] 2021-01-01 11:35:50 > Step: 19200 Progress: 19.2% Elapsed: 3:22:20 temperature: no ada_p: No Discriminator_loss: 0.290923 Generator_loss: 0.227701
[INFO] 2021-01-01 11:36:48 > Step: 19300 Progress: 19.3% Elapsed: 3:23:19 temperature: no ada_p: No Discriminator_loss: 0.21275 Generator_loss: 0.23556
[INFO] 2021-01-01 11:37:47 > Step: 19400 Progress: 19.4% Elapsed: 3:24:17 temperature: no ada_p: No Discriminator_loss: 0.1846 Generator_loss: 0.198963
[INFO] 2021-01-01 11:38:45 > Step: 19500 Progress: 19.5% Elapsed: 3:25:16 temperature: no ada_p: No Discriminator_loss: 0.229208 Generator_loss: 0.420436
[INFO] 2021-01-01 11:39:45 > Step: 19600 Progress: 19.6% Elapsed: 3:26:15 temperature: no ada_p: No Discriminator_loss: 0.160105 Generator_loss: 0.222303
[INFO] 2021-01-01 11:40:43 > Step: 19700 Progress: 19.7% Elapsed: 3:27:13 temperature: no ada_p: No Discriminator_loss: 0.178552 Generator_loss: 0.178218
[INFO] 2021-01-01 11:41:41 > Step: 19800 Progress: 19.8% Elapsed: 3:28:12 temperature: no ada_p: No Discriminator_loss: 0.235888 Generator_loss: 0.201618
[INFO] 2021-01-01 11:42:41 > Step: 19900 Progress: 19.9% Elapsed: 3:29:11 temperature: no ada_p: No Discriminator_loss: 0.282716 Generator_loss: 0.102299
[INFO] 2021-01-01 11:43:39 > Step: 20000 Progress: 20.0% Elapsed: 3:30:09 temperature: no ada_p: No Discriminator_loss: 0.291659 Generator_loss: 0.0982939
[INFO] 2021-01-01 11:43:39 > Start Evaluation (20000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:43:39 > Calculating FID Score....
[INFO] 2021-01-01 11:44:05 > Calculating Inception Score....
[INFO] 2021-01-01 11:44:19 > Calculate F_beta Score....
[INFO] 2021-01-01 11:45:02 > Calculate Accuracies....
[INFO] 2021-01-01 11:45:08 > Calculate Accuracies....
[INFO] 2021-01-01 11:45:10 > F_8 score (Step: 20000, Using valid images): 0.0
[INFO] 2021-01-01 11:45:10 > F_1/8 score (Step: 20000, Using valid images): 0.0
[INFO] 2021-01-01 11:45:10 > FID score (Step: 20000, Using valid moments): 304.2111029852735
[INFO] 2021-01-01 11:45:10 > Inception score (Step: 20000, 10000 generated images): 1.6880549192428589
[INFO] 2021-01-01 11:45:10 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 11:45:11 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 11:46:09 > Step: 20100 Progress: 20.1% Elapsed: 3:32:39 temperature: no ada_p: No Discriminator_loss: 0.264312 Generator_loss: 0.230821
[INFO] 2021-01-01 11:47:08 > Step: 20200 Progress: 20.2% Elapsed: 3:33:38 temperature: no ada_p: No Discriminator_loss: 0.217349 Generator_loss: 0.177955
[INFO] 2021-01-01 11:48:08 > Step: 20300 Progress: 20.3% Elapsed: 3:34:38 temperature: no ada_p: No Discriminator_loss: 0.29919 Generator_loss: 0.281093
[INFO] 2021-01-01 11:49:06 > Step: 20400 Progress: 20.4% Elapsed: 3:35:37 temperature: no ada_p: No Discriminator_loss: 0.267608 Generator_loss: 0.185798
[INFO] 2021-01-01 11:50:05 > Step: 20500 Progress: 20.5% Elapsed: 3:36:35 temperature: no ada_p: No Discriminator_loss: 0.242236 Generator_loss: 0.0889066
[INFO] 2021-01-01 11:51:04 > Step: 20600 Progress: 20.6% Elapsed: 3:37:34 temperature: no ada_p: No Discriminator_loss: 0.250943 Generator_loss: 0.136684
[INFO] 2021-01-01 11:52:03 > Step: 20700 Progress: 20.7% Elapsed: 3:38:33 temperature: no ada_p: No Discriminator_loss: 0.2428 Generator_loss: 0.187352
[INFO] 2021-01-01 11:53:02 > Step: 20800 Progress: 20.8% Elapsed: 3:39:32 temperature: no ada_p: No Discriminator_loss: 0.325156 Generator_loss: 0.124114
[INFO] 2021-01-01 11:54:00 > Step: 20900 Progress: 20.9% Elapsed: 3:40:30 temperature: no ada_p: No Discriminator_loss: 0.258582 Generator_loss: 0.192173
[INFO] 2021-01-01 11:54:59 > Step: 21000 Progress: 21.0% Elapsed: 3:41:29 temperature: no ada_p: No Discriminator_loss: 0.244604 Generator_loss: 0.178673
[INFO] 2021-01-01 11:55:58 > Step: 21100 Progress: 21.1% Elapsed: 3:42:28 temperature: no ada_p: No Discriminator_loss: 0.248014 Generator_loss: 0.213366
[INFO] 2021-01-01 11:56:56 > Step: 21200 Progress: 21.2% Elapsed: 3:43:26 temperature: no ada_p: No Discriminator_loss: 0.251282 Generator_loss: 0.0996535
[INFO] 2021-01-01 11:57:55 > Step: 21300 Progress: 21.3% Elapsed: 3:44:25 temperature: no ada_p: No Discriminator_loss: 0.237863 Generator_loss: 0.120965
[INFO] 2021-01-01 11:58:53 > Step: 21400 Progress: 21.4% Elapsed: 3:45:23 temperature: no ada_p: No Discriminator_loss: 0.244666 Generator_loss: 0.153898
[INFO] 2021-01-01 11:59:52 > Step: 21500 Progress: 21.5% Elapsed: 3:46:22 temperature: no ada_p: No Discriminator_loss: 0.251249 Generator_loss: 0.142845
[INFO] 2021-01-01 12:00:50 > Step: 21600 Progress: 21.6% Elapsed: 3:47:21 temperature: no ada_p: No Discriminator_loss: 0.237431 Generator_loss: 0.17035
[INFO] 2021-01-01 12:01:49 > Step: 21700 Progress: 21.7% Elapsed: 3:48:19 temperature: no ada_p: No Discriminator_loss: 0.245597 Generator_loss: 0.10709
[INFO] 2021-01-01 12:02:47 > Step: 21800 Progress: 21.8% Elapsed: 3:49:18 temperature: no ada_p: No Discriminator_loss: 0.27085 Generator_loss: 0.138642
[INFO] 2021-01-01 12:03:47 > Step: 21900 Progress: 21.9% Elapsed: 3:50:17 temperature: no ada_p: No Discriminator_loss: 0.219291 Generator_loss: 0.139927
[INFO] 2021-01-01 12:04:45 > Step: 22000 Progress: 22.0% Elapsed: 3:51:15 temperature: no ada_p: No Discriminator_loss: 0.232678 Generator_loss: 0.17193
[INFO] 2021-01-01 12:04:45 > Start Evaluation (22000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:04:45 > Calculating FID Score....
[INFO] 2021-01-01 12:05:10 > Calculating Inception Score....
[INFO] 2021-01-01 12:05:25 > Calculate F_beta Score....
[INFO] 2021-01-01 12:06:10 > Calculate Accuracies....
[INFO] 2021-01-01 12:06:16 > Calculate Accuracies....
[INFO] 2021-01-01 12:06:18 > F_8 score (Step: 22000, Using valid images): 0.0
[INFO] 2021-01-01 12:06:18 > F_1/8 score (Step: 22000, Using valid images): 0.0
[INFO] 2021-01-01 12:06:18 > FID score (Step: 22000, Using valid moments): 277.859370929297
[INFO] 2021-01-01 12:06:18 > Inception score (Step: 22000, 10000 generated images): 1.838718056678772
[INFO] 2021-01-01 12:06:18 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 12:06:19 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:07:17 > Step: 22100 Progress: 22.1% Elapsed: 3:53:47 temperature: no ada_p: No Discriminator_loss: 0.181557 Generator_loss: 0.252573
[INFO] 2021-01-01 12:08:16 > Step: 22200 Progress: 22.2% Elapsed: 3:54:46 temperature: no ada_p: No Discriminator_loss: 0.25467 Generator_loss: 0.412527
[INFO] 2021-01-01 12:09:15 > Step: 22300 Progress: 22.3% Elapsed: 3:55:45 temperature: no ada_p: No Discriminator_loss: 0.15577 Generator_loss: 0.243039
[INFO] 2021-01-01 12:10:14 > Step: 22400 Progress: 22.4% Elapsed: 3:56:44 temperature: no ada_p: No Discriminator_loss: 0.200533 Generator_loss: 0.193303
[INFO] 2021-01-01 12:11:13 > Step: 22500 Progress: 22.5% Elapsed: 3:57:43 temperature: no ada_p: No Discriminator_loss: 0.156614 Generator_loss: 0.0839413
[INFO] 2021-01-01 12:12:11 > Step: 22600 Progress: 22.6% Elapsed: 3:58:41 temperature: no ada_p: No Discriminator_loss: 0.0976719 Generator_loss: 0.189964
[INFO] 2021-01-01 12:13:10 > Step: 22700 Progress: 22.7% Elapsed: 3:59:41 temperature: no ada_p: No Discriminator_loss: 0.228537 Generator_loss: 0.15733
[INFO] 2021-01-01 12:14:09 > Step: 22800 Progress: 22.8% Elapsed: 4:00:39 temperature: no ada_p: No Discriminator_loss: 0.225339 Generator_loss: 5.31805
[INFO] 2021-01-01 12:15:08 > Step: 22900 Progress: 22.9% Elapsed: 4:01:38 temperature: no ada_p: No Discriminator_loss: 0.249398 Generator_loss: 0.197725
[INFO] 2021-01-01 12:16:06 > Step: 23000 Progress: 23.0% Elapsed: 4:02:36 temperature: no ada_p: No Discriminator_loss: 0.252413 Generator_loss: 0.142623
[INFO] 2021-01-01 12:17:05 > Step: 23100 Progress: 23.1% Elapsed: 4:03:35 temperature: no ada_p: No Discriminator_loss: 0.240962 Generator_loss: 0.16044
[INFO] 2021-01-01 12:18:04 > Step: 23200 Progress: 23.2% Elapsed: 4:04:34 temperature: no ada_p: No Discriminator_loss: 0.248731 Generator_loss: 0.163982
[INFO] 2021-01-01 12:19:02 > Step: 23300 Progress: 23.3% Elapsed: 4:05:32 temperature: no ada_p: No Discriminator_loss: 0.232489 Generator_loss: 0.137014
[INFO] 2021-01-01 12:20:00 > Step: 23400 Progress: 23.4% Elapsed: 4:06:30 temperature: no ada_p: No Discriminator_loss: 0.240979 Generator_loss: 0.137815
[INFO] 2021-01-01 12:21:00 > Step: 23500 Progress: 23.5% Elapsed: 4:07:30 temperature: no ada_p: No Discriminator_loss: 0.252515 Generator_loss: 0.144383
[INFO] 2021-01-01 12:21:58 > Step: 23600 Progress: 23.6% Elapsed: 4:08:28 temperature: no ada_p: No Discriminator_loss: 0.235312 Generator_loss: 0.160351
[INFO] 2021-01-01 12:22:56 > Step: 23700 Progress: 23.7% Elapsed: 4:09:27 temperature: no ada_p: No Discriminator_loss: 0.250134 Generator_loss: 0.149824
[INFO] 2021-01-01 12:23:56 > Step: 23800 Progress: 23.8% Elapsed: 4:10:26 temperature: no ada_p: No Discriminator_loss: 0.23124 Generator_loss: 0.144192
[INFO] 2021-01-01 12:24:54 > Step: 23900 Progress: 23.9% Elapsed: 4:11:24 temperature: no ada_p: No Discriminator_loss: 0.155961 Generator_loss: 0.260618
[INFO] 2021-01-01 12:25:52 > Step: 24000 Progress: 24.0% Elapsed: 4:12:23 temperature: no ada_p: No Discriminator_loss: 0.169581 Generator_loss: 0.245844
[INFO] 2021-01-01 12:25:52 > Start Evaluation (24000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:25:52 > Calculating FID Score....
[INFO] 2021-01-01 12:26:18 > Calculating Inception Score....
[INFO] 2021-01-01 12:26:33 > Calculate F_beta Score....
[INFO] 2021-01-01 12:27:16 > Calculate Accuracies....
[INFO] 2021-01-01 12:27:22 > Calculate Accuracies....
[INFO] 2021-01-01 12:27:24 > F_8 score (Step: 24000, Using valid images): 0.0
[INFO] 2021-01-01 12:27:24 > F_1/8 score (Step: 24000, Using valid images): 0.0
[INFO] 2021-01-01 12:27:24 > FID score (Step: 24000, Using valid moments): 296.35364630136735
[INFO] 2021-01-01 12:27:24 > Inception score (Step: 24000, 10000 generated images): 1.662296175956726
[INFO] 2021-01-01 12:27:24 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 12:27:25 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:28:23 > Step: 24100 Progress: 24.1% Elapsed: 4:14:53 temperature: no ada_p: No Discriminator_loss: 0.0778913 Generator_loss: 0.366435
[INFO] 2021-01-01 12:29:23 > Step: 24200 Progress: 24.2% Elapsed: 4:15:53 temperature: no ada_p: No Discriminator_loss: 0.0457254 Generator_loss: 0.309672
[INFO] 2021-01-01 12:30:22 > Step: 24300 Progress: 24.3% Elapsed: 4:16:52 temperature: no ada_p: No Discriminator_loss: 0.228346 Generator_loss: 0.130195
[INFO] 2021-01-01 12:31:20 > Step: 24400 Progress: 24.4% Elapsed: 4:17:50 temperature: no ada_p: No Discriminator_loss: 0.228693 Generator_loss: 0.141575
[INFO] 2021-01-01 12:32:19 > Step: 24500 Progress: 24.5% Elapsed: 4:18:49 temperature: no ada_p: No Discriminator_loss: 0.256899 Generator_loss: 0.282508
[INFO] 2021-01-01 12:33:18 > Step: 24600 Progress: 24.6% Elapsed: 4:19:48 temperature: no ada_p: No Discriminator_loss: 0.216123 Generator_loss: 0.23204
[INFO] 2021-01-01 12:34:17 > Step: 24700 Progress: 24.7% Elapsed: 4:20:47 temperature: no ada_p: No Discriminator_loss: 0.227076 Generator_loss: 0.142465
[INFO] 2021-01-01 12:35:15 > Step: 24800 Progress: 24.8% Elapsed: 4:21:45 temperature: no ada_p: No Discriminator_loss: 0.234174 Generator_loss: 0.142923
[INFO] 2021-01-01 12:36:14 > Step: 24900 Progress: 24.9% Elapsed: 4:22:44 temperature: no ada_p: No Discriminator_loss: 0.263163 Generator_loss: 0.25043
[INFO] 2021-01-01 12:37:13 > Step: 25000 Progress: 25.0% Elapsed: 4:23:43 temperature: no ada_p: No Discriminator_loss: 0.261316 Generator_loss: 0.234159
[INFO] 2021-01-01 12:38:11 > Step: 25100 Progress: 25.1% Elapsed: 4:24:42 temperature: no ada_p: No Discriminator_loss: 0.220684 Generator_loss: 0.172522
[INFO] 2021-01-01 12:39:10 > Step: 25200 Progress: 25.2% Elapsed: 4:25:40 temperature: no ada_p: No Discriminator_loss: 0.233236 Generator_loss: 0.153899
[INFO] 2021-01-01 12:40:09 > Step: 25300 Progress: 25.3% Elapsed: 4:26:39 temperature: no ada_p: No Discriminator_loss: 0.222345 Generator_loss: 0.162916
[INFO] 2021-01-01 12:41:08 > Step: 25400 Progress: 25.4% Elapsed: 4:27:38 temperature: no ada_p: No Discriminator_loss: 0.24165 Generator_loss: 0.157538
[INFO] 2021-01-01 12:42:06 > Step: 25500 Progress: 25.5% Elapsed: 4:28:36 temperature: no ada_p: No Discriminator_loss: 0.221732 Generator_loss: 0.117886
[INFO] 2021-01-01 12:43:04 > Step: 25600 Progress: 25.6% Elapsed: 4:29:34 temperature: no ada_p: No Discriminator_loss: 0.213917 Generator_loss: 0.141535
[INFO] 2021-01-01 12:44:03 > Step: 25700 Progress: 25.7% Elapsed: 4:30:33 temperature: no ada_p: No Discriminator_loss: 0.257899 Generator_loss: 0.317627
[INFO] 2021-01-01 12:45:01 > Step: 25800 Progress: 25.8% Elapsed: 4:31:32 temperature: no ada_p: No Discriminator_loss: 0.219081 Generator_loss: 0.1023
[INFO] 2021-01-01 12:46:00 > Step: 25900 Progress: 25.9% Elapsed: 4:32:30 temperature: no ada_p: No Discriminator_loss: 0.254905 Generator_loss: 0.138585
[INFO] 2021-01-01 12:46:58 > Step: 26000 Progress: 26.0% Elapsed: 4:33:28 temperature: no ada_p: No Discriminator_loss: 0.278053 Generator_loss: 0.154069
[INFO] 2021-01-01 12:46:58 > Start Evaluation (26000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:46:58 > Calculating FID Score....
[INFO] 2021-01-01 12:47:24 > Calculating Inception Score....
[INFO] 2021-01-01 12:47:39 > Calculate F_beta Score....
[INFO] 2021-01-01 12:48:24 > Calculate Accuracies....
[INFO] 2021-01-01 12:48:30 > Calculate Accuracies....
[INFO] 2021-01-01 12:48:32 > F_8 score (Step: 26000, Using valid images): 0.01829932207436341
[INFO] 2021-01-01 12:48:32 > F_1/8 score (Step: 26000, Using valid images): 0.13217714581520568
[INFO] 2021-01-01 12:48:32 > FID score (Step: 26000, Using valid moments): 180.96639644352678
[INFO] 2021-01-01 12:48:32 > Inception score (Step: 26000, 10000 generated images): 3.6859941482543945
[INFO] 2021-01-01 12:48:32 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 12:48:33 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 12:49:31 > Step: 26100 Progress: 26.1% Elapsed: 4:36:01 temperature: no ada_p: No Discriminator_loss: 0.246261 Generator_loss: 0.145626
[INFO] 2021-01-01 12:50:31 > Step: 26200 Progress: 26.2% Elapsed: 4:37:01 temperature: no ada_p: No Discriminator_loss: 0.232875 Generator_loss: 0.137343
[INFO] 2021-01-01 12:51:30 > Step: 26300 Progress: 26.3% Elapsed: 4:38:00 temperature: no ada_p: No Discriminator_loss: 0.222903 Generator_loss: 0.210236
[INFO] 2021-01-01 12:52:29 > Step: 26400 Progress: 26.4% Elapsed: 4:38:59 temperature: no ada_p: No Discriminator_loss: 0.273588 Generator_loss: 0.149859
[INFO] 2021-01-01 12:53:27 > Step: 26500 Progress: 26.5% Elapsed: 4:39:57 temperature: no ada_p: No Discriminator_loss: 0.244751 Generator_loss: 0.133684
[INFO] 2021-01-01 12:54:26 > Step: 26600 Progress: 26.6% Elapsed: 4:40:57 temperature: no ada_p: No Discriminator_loss: 0.238505 Generator_loss: 0.228845
[INFO] 2021-01-01 12:55:25 > Step: 26700 Progress: 26.7% Elapsed: 4:41:55 temperature: no ada_p: No Discriminator_loss: 0.245453 Generator_loss: 0.134689
[INFO] 2021-01-01 12:56:23 > Step: 26800 Progress: 26.8% Elapsed: 4:42:54 temperature: no ada_p: No Discriminator_loss: 0.244017 Generator_loss: 0.139154
[INFO] 2021-01-01 12:57:22 > Step: 26900 Progress: 26.9% Elapsed: 4:43:52 temperature: no ada_p: No Discriminator_loss: 0.255494 Generator_loss: 0.118102
[INFO] 2021-01-01 12:58:21 > Step: 27000 Progress: 27.0% Elapsed: 4:44:51 temperature: no ada_p: No Discriminator_loss: 0.23877 Generator_loss: 0.237152
[INFO] 2021-01-01 12:59:20 > Step: 27100 Progress: 27.1% Elapsed: 4:45:50 temperature: no ada_p: No Discriminator_loss: 0.243768 Generator_loss: 0.0951753
[INFO] 2021-01-01 13:00:18 > Step: 27200 Progress: 27.2% Elapsed: 4:46:48 temperature: no ada_p: No Discriminator_loss: 0.260662 Generator_loss: 0.137907
[INFO] 2021-01-01 13:01:16 > Step: 27300 Progress: 27.3% Elapsed: 4:47:47 temperature: no ada_p: No Discriminator_loss: 0.244595 Generator_loss: 0.135519
[INFO] 2021-01-01 13:02:16 > Step: 27400 Progress: 27.4% Elapsed: 4:48:46 temperature: no ada_p: No Discriminator_loss: 0.245521 Generator_loss: 0.150666
[INFO] 2021-01-01 13:03:14 > Step: 27500 Progress: 27.5% Elapsed: 4:49:44 temperature: no ada_p: No Discriminator_loss: 0.272309 Generator_loss: 0.179814
[INFO] 2021-01-01 13:04:13 > Step: 27600 Progress: 27.6% Elapsed: 4:50:43 temperature: no ada_p: No Discriminator_loss: 0.23817 Generator_loss: 0.169837
[INFO] 2021-01-01 13:05:12 > Step: 27700 Progress: 27.7% Elapsed: 4:51:42 temperature: no ada_p: No Discriminator_loss: 0.233351 Generator_loss: 0.128057
[INFO] 2021-01-01 13:06:10 > Step: 27800 Progress: 27.8% Elapsed: 4:52:40 temperature: no ada_p: No Discriminator_loss: 0.251378 Generator_loss: 0.124521
[INFO] 2021-01-01 13:07:08 > Step: 27900 Progress: 27.9% Elapsed: 4:53:38 temperature: no ada_p: No Discriminator_loss: 0.260319 Generator_loss: 0.124213
[INFO] 2021-01-01 13:08:07 > Step: 28000 Progress: 28.0% Elapsed: 4:54:37 temperature: no ada_p: No Discriminator_loss: 0.245012 Generator_loss: 0.163065
[INFO] 2021-01-01 13:08:07 > Start Evaluation (28000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:08:07 > Calculating FID Score....
[INFO] 2021-01-01 13:08:32 > Calculating Inception Score....
[INFO] 2021-01-01 13:08:47 > Calculate F_beta Score....
[INFO] 2021-01-01 13:09:32 > Calculate Accuracies....
[INFO] 2021-01-01 13:09:38 > Calculate Accuracies....
[INFO] 2021-01-01 13:09:40 > F_8 score (Step: 28000, Using valid images): 0.0751714279456921
[INFO] 2021-01-01 13:09:40 > F_1/8 score (Step: 28000, Using valid images): 0.2076060696206698
[INFO] 2021-01-01 13:09:40 > FID score (Step: 28000, Using valid moments): 157.28734437609472
[INFO] 2021-01-01 13:09:40 > Inception score (Step: 28000, 10000 generated images): 3.7329049110412598
[INFO] 2021-01-01 13:09:40 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 13:09:41 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:10:39 > Step: 28100 Progress: 28.1% Elapsed: 4:57:09 temperature: no ada_p: No Discriminator_loss: 0.253992 Generator_loss: 0.0713878
[INFO] 2021-01-01 13:11:38 > Step: 28200 Progress: 28.2% Elapsed: 4:58:09 temperature: no ada_p: No Discriminator_loss: 0.278141 Generator_loss: 0.23
[INFO] 2021-01-01 13:12:37 > Step: 28300 Progress: 28.3% Elapsed: 4:59:08 temperature: no ada_p: No Discriminator_loss: 0.247699 Generator_loss: 0.128999
[INFO] 2021-01-01 13:13:36 > Step: 28400 Progress: 28.4% Elapsed: 5:00:06 temperature: no ada_p: No Discriminator_loss: 0.240068 Generator_loss: 0.188822
[INFO] 2021-01-01 13:14:36 > Step: 28500 Progress: 28.5% Elapsed: 5:01:06 temperature: no ada_p: No Discriminator_loss: 0.225378 Generator_loss: 0.178448
[INFO] 2021-01-01 13:15:34 > Step: 28600 Progress: 28.6% Elapsed: 5:02:04 temperature: no ada_p: No Discriminator_loss: 0.226237 Generator_loss: 0.174021
[INFO] 2021-01-01 13:16:33 > Step: 28700 Progress: 28.7% Elapsed: 5:03:03 temperature: no ada_p: No Discriminator_loss: 0.238902 Generator_loss: 0.25848
[INFO] 2021-01-01 13:17:32 > Step: 28800 Progress: 28.8% Elapsed: 5:04:02 temperature: no ada_p: No Discriminator_loss: 0.223715 Generator_loss: 0.136972
[INFO] 2021-01-01 13:18:31 > Step: 28900 Progress: 28.9% Elapsed: 5:05:01 temperature: no ada_p: No Discriminator_loss: 0.199841 Generator_loss: 0.244318
[INFO] 2021-01-01 13:19:29 > Step: 29000 Progress: 29.0% Elapsed: 5:05:59 temperature: no ada_p: No Discriminator_loss: 0.172282 Generator_loss: 0.164173
[INFO] 2021-01-01 13:20:28 > Step: 29100 Progress: 29.1% Elapsed: 5:06:58 temperature: no ada_p: No Discriminator_loss: 0.14916 Generator_loss: 0.243324
[INFO] 2021-01-01 13:21:26 > Step: 29200 Progress: 29.2% Elapsed: 5:07:56 temperature: no ada_p: No Discriminator_loss: 0.197576 Generator_loss: 0.214855
[INFO] 2021-01-01 13:22:25 > Step: 29300 Progress: 29.3% Elapsed: 5:08:55 temperature: no ada_p: No Discriminator_loss: 0.167446 Generator_loss: 0.16503
[INFO] 2021-01-01 13:23:23 > Step: 29400 Progress: 29.4% Elapsed: 5:09:53 temperature: no ada_p: No Discriminator_loss: 0.0540628 Generator_loss: 0.419037
[INFO] 2021-01-01 13:24:22 > Step: 29500 Progress: 29.5% Elapsed: 5:10:52 temperature: no ada_p: No Discriminator_loss: 0.223162 Generator_loss: 0.270387
[INFO] 2021-01-01 13:25:20 > Step: 29600 Progress: 29.6% Elapsed: 5:11:50 temperature: no ada_p: No Discriminator_loss: 0.158629 Generator_loss: 0.32811
[INFO] 2021-01-01 13:26:19 > Step: 29700 Progress: 29.7% Elapsed: 5:12:49 temperature: no ada_p: No Discriminator_loss: 0.215961 Generator_loss: 0.329599
[INFO] 2021-01-01 13:27:18 > Step: 29800 Progress: 29.8% Elapsed: 5:13:48 temperature: no ada_p: No Discriminator_loss: 0.337263 Generator_loss: 0.22573
[INFO] 2021-01-01 13:28:16 > Step: 29900 Progress: 29.9% Elapsed: 5:14:46 temperature: no ada_p: No Discriminator_loss: 0.0541865 Generator_loss: 0.290914
[INFO] 2021-01-01 13:29:15 > Step: 30000 Progress: 30.0% Elapsed: 5:15:45 temperature: no ada_p: No Discriminator_loss: 0.0294664 Generator_loss: 0.319941
[INFO] 2021-01-01 13:29:15 > Start Evaluation (30000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:29:15 > Calculating FID Score....
[INFO] 2021-01-01 13:29:40 > Calculating Inception Score....
[INFO] 2021-01-01 13:29:55 > Calculate F_beta Score....
[INFO] 2021-01-01 13:30:38 > Calculate Accuracies....
[INFO] 2021-01-01 13:30:45 > Calculate Accuracies....
[INFO] 2021-01-01 13:30:46 > F_8 score (Step: 30000, Using valid images): 8.999999846153851e-05
[INFO] 2021-01-01 13:30:46 > F_1/8 score (Step: 30000, Using valid images): 0.004156633140048134
[INFO] 2021-01-01 13:30:46 > FID score (Step: 30000, Using valid moments): 267.5864255552907
[INFO] 2021-01-01 13:30:46 > Inception score (Step: 30000, 10000 generated images): 2.05273699760437
[INFO] 2021-01-01 13:30:46 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 13:30:47 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:31:46 > Step: 30100 Progress: 30.1% Elapsed: 5:18:16 temperature: no ada_p: No Discriminator_loss: 0.246866 Generator_loss: 0.156608
[INFO] 2021-01-01 13:32:45 > Step: 30200 Progress: 30.2% Elapsed: 5:19:15 temperature: no ada_p: No Discriminator_loss: 0.268227 Generator_loss: 0.304588
[INFO] 2021-01-01 13:33:44 > Step: 30300 Progress: 30.3% Elapsed: 5:20:14 temperature: no ada_p: No Discriminator_loss: 0.231781 Generator_loss: 0.0869793
[INFO] 2021-01-01 13:34:43 > Step: 30400 Progress: 30.4% Elapsed: 5:21:13 temperature: no ada_p: No Discriminator_loss: 0.186472 Generator_loss: 0.064455
[INFO] 2021-01-01 13:35:42 > Step: 30500 Progress: 30.5% Elapsed: 5:22:12 temperature: no ada_p: No Discriminator_loss: 0.154975 Generator_loss: 0.157363
[INFO] 2021-01-01 13:36:40 > Step: 30600 Progress: 30.6% Elapsed: 5:23:10 temperature: no ada_p: No Discriminator_loss: 0.149074 Generator_loss: 0.165742
[INFO] 2021-01-01 13:37:39 > Step: 30700 Progress: 30.7% Elapsed: 5:24:09 temperature: no ada_p: No Discriminator_loss: 0.191925 Generator_loss: 0.107276
[INFO] 2021-01-01 13:38:37 > Step: 30800 Progress: 30.8% Elapsed: 5:25:07 temperature: no ada_p: No Discriminator_loss: 0.230409 Generator_loss: 0.401044
[INFO] 2021-01-01 13:39:36 > Step: 30900 Progress: 30.9% Elapsed: 5:26:07 temperature: no ada_p: No Discriminator_loss: 0.20099 Generator_loss: 0.23469
[INFO] 2021-01-01 13:40:35 > Step: 31000 Progress: 31.0% Elapsed: 5:27:05 temperature: no ada_p: No Discriminator_loss: 0.133633 Generator_loss: 0.0585623
[INFO] 2021-01-01 13:41:33 > Step: 31100 Progress: 31.1% Elapsed: 5:28:03 temperature: no ada_p: No Discriminator_loss: 0.204964 Generator_loss: 0.114645
[INFO] 2021-01-01 13:42:32 > Step: 31200 Progress: 31.2% Elapsed: 5:29:02 temperature: no ada_p: No Discriminator_loss: 0.131244 Generator_loss: 0.473987
[INFO] 2021-01-01 13:43:31 > Step: 31300 Progress: 31.3% Elapsed: 5:30:01 temperature: no ada_p: No Discriminator_loss: 0.224236 Generator_loss: 0.121231
[INFO] 2021-01-01 13:44:30 > Step: 31400 Progress: 31.4% Elapsed: 5:31:00 temperature: no ada_p: No Discriminator_loss: 0.115785 Generator_loss: 0.260976
[INFO] 2021-01-01 13:45:28 > Step: 31500 Progress: 31.5% Elapsed: 5:31:58 temperature: no ada_p: No Discriminator_loss: 0.200121 Generator_loss: 0.493292
[INFO] 2021-01-01 13:46:27 > Step: 31600 Progress: 31.6% Elapsed: 5:32:57 temperature: no ada_p: No Discriminator_loss: 0.160557 Generator_loss: 0.0620515
[INFO] 2021-01-01 13:47:25 > Step: 31700 Progress: 31.7% Elapsed: 5:33:55 temperature: no ada_p: No Discriminator_loss: 0.151024 Generator_loss: 0.108695
[INFO] 2021-01-01 13:48:24 > Step: 31800 Progress: 31.8% Elapsed: 5:34:54 temperature: no ada_p: No Discriminator_loss: 0.156731 Generator_loss: 0.0732416
[INFO] 2021-01-01 13:49:22 > Step: 31900 Progress: 31.9% Elapsed: 5:35:52 temperature: no ada_p: No Discriminator_loss: 0.195183 Generator_loss: 0.422511
[INFO] 2021-01-01 13:50:21 > Step: 32000 Progress: 32.0% Elapsed: 5:36:51 temperature: no ada_p: No Discriminator_loss: 0.210772 Generator_loss: 0.542516
[INFO] 2021-01-01 13:50:21 > Start Evaluation (32000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:50:21 > Calculating FID Score....
[INFO] 2021-01-01 13:50:46 > Calculating Inception Score....
[INFO] 2021-01-01 13:51:01 > Calculate F_beta Score....
[INFO] 2021-01-01 13:51:48 > Calculate Accuracies....
[INFO] 2021-01-01 13:51:54 > Calculate Accuracies....
[INFO] 2021-01-01 13:51:56 > F_8 score (Step: 32000, Using valid images): 0.2924630645808876
[INFO] 2021-01-01 13:51:56 > F_1/8 score (Step: 32000, Using valid images): 0.4168060233436066
[INFO] 2021-01-01 13:51:56 > FID score (Step: 32000, Using valid moments): 112.19641308611648
[INFO] 2021-01-01 13:51:56 > Inception score (Step: 32000, 10000 generated images): 4.681445598602295
[INFO] 2021-01-01 13:51:56 > Best FID score (Step: 10000, Using valid moments): 102.12915582164305
[INFO] 2021-01-01 13:51:57 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 13:52:55 > Step: 32100 Progress: 32.1% Elapsed: 5:39:25 temperature: no ada_p: No Discriminator_loss: 0.241501 Generator_loss: 0.471605
[INFO] 2021-01-01 13:53:54 > Step: 32200 Progress: 32.2% Elapsed: 5:40:24 temperature: no ada_p: No Discriminator_loss: 0.185473 Generator_loss: 0.25506
[INFO] 2021-01-01 13:54:53 > Step: 32300 Progress: 32.3% Elapsed: 5:41:23 temperature: no ada_p: No Discriminator_loss: 0.130168 Generator_loss: 0.317306
[INFO] 2021-01-01 13:55:53 > Step: 32400 Progress: 32.4% Elapsed: 5:42:23 temperature: no ada_p: No Discriminator_loss: 0.129763 Generator_loss: 0.288947
[INFO] 2021-01-01 13:56:51 > Step: 32500 Progress: 32.5% Elapsed: 5:43:22 temperature: no ada_p: No Discriminator_loss: 0.339258 Generator_loss: 0.126867
[INFO] 2021-01-01 13:57:50 > Step: 32600 Progress: 32.6% Elapsed: 5:44:20 temperature: no ada_p: No Discriminator_loss: 0.272806 Generator_loss: 0.282517
[INFO] 2021-01-01 13:58:49 > Step: 32700 Progress: 32.7% Elapsed: 5:45:19 temperature: no ada_p: No Discriminator_loss: 0.142395 Generator_loss: 0.483175
[INFO] 2021-01-01 13:59:48 > Step: 32800 Progress: 32.8% Elapsed: 5:46:18 temperature: no ada_p: No Discriminator_loss: 0.181221 Generator_loss: 0.258158
[INFO] 2021-01-01 14:00:47 > Step: 32900 Progress: 32.9% Elapsed: 5:47:17 temperature: no ada_p: No Discriminator_loss: 0.369664 Generator_loss: 0.284191
[INFO] 2021-01-01 14:01:45 > Step: 33000 Progress: 33.0% Elapsed: 5:48:15 temperature: no ada_p: No Discriminator_loss: 0.193875 Generator_loss: 0.487046
[INFO] 2021-01-01 14:02:44 > Step: 33100 Progress: 33.1% Elapsed: 5:49:14 temperature: no ada_p: No Discriminator_loss: 0.303091 Generator_loss: 0.254986
[INFO] 2021-01-01 14:03:43 > Step: 33200 Progress: 33.2% Elapsed: 5:50:13 temperature: no ada_p: No Discriminator_loss: 0.163677 Generator_loss: 0.444318
[INFO] 2021-01-01 14:04:41 > Step: 33300 Progress: 33.3% Elapsed: 5:51:11 temperature: no ada_p: No Discriminator_loss: 0.129824 Generator_loss: 0.467892
[INFO] 2021-01-01 14:05:40 > Step: 33400 Progress: 33.4% Elapsed: 5:52:10 temperature: no ada_p: No Discriminator_loss: 0.168324 Generator_loss: 0.484453
[INFO] 2021-01-01 14:06:38 > Step: 33500 Progress: 33.5% Elapsed: 5:53:08 temperature: no ada_p: No Discriminator_loss: 0.200627 Generator_loss: 0.459704
[INFO] 2021-01-01 14:07:37 > Step: 33600 Progress: 33.6% Elapsed: 5:54:07 temperature: no ada_p: No Discriminator_loss: 0.0565118 Generator_loss: 0.576166
[INFO] 2021-01-01 14:08:36 > Step: 33700 Progress: 33.7% Elapsed: 5:55:06 temperature: no ada_p: No Discriminator_loss: 0.0627421 Generator_loss: 0.493118
[INFO] 2021-01-01 14:09:34 > Step: 33800 Progress: 33.8% Elapsed: 5:56:04 temperature: no ada_p: No Discriminator_loss: 0.165288 Generator_loss: 0.489274
[INFO] 2021-01-01 14:10:32 > Step: 33900 Progress: 33.9% Elapsed: 5:57:02 temperature: no ada_p: No Discriminator_loss: 0.0440339 Generator_loss: 0.49764
[INFO] 2021-01-01 14:11:31 > Step: 34000 Progress: 34.0% Elapsed: 5:58:02 temperature: no ada_p: No Discriminator_loss: 0.103496 Generator_loss: 0.547927
[INFO] 2021-01-01 14:11:31 > Start Evaluation (34000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:11:31 > Calculating FID Score....
[INFO] 2021-01-01 14:11:57 > Calculating Inception Score....
[INFO] 2021-01-01 14:12:12 > Calculate F_beta Score....
[INFO] 2021-01-01 14:12:58 > Calculate Accuracies....
[INFO] 2021-01-01 14:13:04 > Calculate Accuracies....
[INFO] 2021-01-01 14:13:06 > F_8 score (Step: 34000, Using valid images): 0.3552672217452265
[INFO] 2021-01-01 14:13:06 > F_1/8 score (Step: 34000, Using valid images): 0.5688026533862315
[INFO] 2021-01-01 14:13:06 > FID score (Step: 34000, Using valid moments): 100.39643154140856
[INFO] 2021-01-01 14:13:06 > Inception score (Step: 34000, 10000 generated images): 5.762861728668213
[INFO] 2021-01-01 14:13:06 > Best FID score (Step: 34000, Using valid moments): 100.39643154140856
[INFO] 2021-01-01 14:13:09 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:14:07 > Step: 34100 Progress: 34.1% Elapsed: 6:00:37 temperature: no ada_p: No Discriminator_loss: 0.14831 Generator_loss: 0.554188
[INFO] 2021-01-01 14:15:06 > Step: 34200 Progress: 34.2% Elapsed: 6:01:36 temperature: no ada_p: No Discriminator_loss: 0.01674 Generator_loss: 0.492974
[INFO] 2021-01-01 14:16:05 > Step: 34300 Progress: 34.3% Elapsed: 6:02:35 temperature: no ada_p: No Discriminator_loss: 0.106012 Generator_loss: 0.463708
[INFO] 2021-01-01 14:17:05 > Step: 34400 Progress: 34.4% Elapsed: 6:03:35 temperature: no ada_p: No Discriminator_loss: 0.109659 Generator_loss: 0.42313
[INFO] 2021-01-01 14:18:03 > Step: 34500 Progress: 34.5% Elapsed: 6:04:34 temperature: no ada_p: No Discriminator_loss: 0.0585741 Generator_loss: 0.463595
[INFO] 2021-01-01 14:19:02 > Step: 34600 Progress: 34.6% Elapsed: 6:05:32 temperature: no ada_p: No Discriminator_loss: 0.0166692 Generator_loss: 0.556445
[INFO] 2021-01-01 14:20:01 > Step: 34700 Progress: 34.7% Elapsed: 6:06:31 temperature: no ada_p: No Discriminator_loss: 0.213992 Generator_loss: 0.488316
[INFO] 2021-01-01 14:21:00 > Step: 34800 Progress: 34.8% Elapsed: 6:07:30 temperature: no ada_p: No Discriminator_loss: 0.0180114 Generator_loss: 0.411373
[INFO] 2021-01-01 14:21:58 > Step: 34900 Progress: 34.9% Elapsed: 6:08:28 temperature: no ada_p: No Discriminator_loss: 0.0570552 Generator_loss: 0.255005
[INFO] 2021-01-01 14:22:57 > Step: 35000 Progress: 35.0% Elapsed: 6:09:27 temperature: no ada_p: No Discriminator_loss: 0.0405736 Generator_loss: 0.555926
[INFO] 2021-01-01 14:23:55 > Step: 35100 Progress: 35.1% Elapsed: 6:10:25 temperature: no ada_p: No Discriminator_loss: 0.0593133 Generator_loss: 0.427572
[INFO] 2021-01-01 14:24:54 > Step: 35200 Progress: 35.2% Elapsed: 6:11:24 temperature: no ada_p: No Discriminator_loss: 0.00691051 Generator_loss: 0.467321
[INFO] 2021-01-01 14:25:53 > Step: 35300 Progress: 35.3% Elapsed: 6:12:23 temperature: no ada_p: No Discriminator_loss: 0.0130205 Generator_loss: 0.426981
[INFO] 2021-01-01 14:26:51 > Step: 35400 Progress: 35.4% Elapsed: 6:13:21 temperature: no ada_p: No Discriminator_loss: 0.0234653 Generator_loss: 0.488253
[INFO] 2021-01-01 14:27:50 > Step: 35500 Progress: 35.5% Elapsed: 6:14:20 temperature: no ada_p: No Discriminator_loss: 0.0884238 Generator_loss: 0.323194
[INFO] 2021-01-01 14:28:49 > Step: 35600 Progress: 35.6% Elapsed: 6:15:19 temperature: no ada_p: No Discriminator_loss: 0.103279 Generator_loss: 0.41814
[INFO] 2021-01-01 14:29:47 > Step: 35700 Progress: 35.7% Elapsed: 6:16:17 temperature: no ada_p: No Discriminator_loss: 0.00747484 Generator_loss: 0.480925
[INFO] 2021-01-01 14:30:46 > Step: 35800 Progress: 35.8% Elapsed: 6:17:16 temperature: no ada_p: No Discriminator_loss: 0.491 Generator_loss: 0.334097
[INFO] 2021-01-01 14:31:45 > Step: 35900 Progress: 35.9% Elapsed: 6:18:15 temperature: no ada_p: No Discriminator_loss: 0.022872 Generator_loss: 0.4437
[INFO] 2021-01-01 14:32:43 > Step: 36000 Progress: 36.0% Elapsed: 6:19:13 temperature: no ada_p: No Discriminator_loss: 0.00740962 Generator_loss: 0.444093
[INFO] 2021-01-01 14:32:43 > Start Evaluation (36000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:32:43 > Calculating FID Score....
[INFO] 2021-01-01 14:33:09 > Calculating Inception Score....
[INFO] 2021-01-01 14:33:24 > Calculate F_beta Score....
[INFO] 2021-01-01 14:34:11 > Calculate Accuracies....
[INFO] 2021-01-01 14:34:17 > Calculate Accuracies....
[INFO] 2021-01-01 14:34:19 > F_8 score (Step: 36000, Using valid images): 0.3902240091442742
[INFO] 2021-01-01 14:34:19 > F_1/8 score (Step: 36000, Using valid images): 0.6378564784193475
[INFO] 2021-01-01 14:34:19 > FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 14:34:19 > Inception score (Step: 36000, 10000 generated images): 5.380552291870117
[INFO] 2021-01-01 14:34:19 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 14:34:21 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:35:19 > Step: 36100 Progress: 36.1% Elapsed: 6:21:49 temperature: no ada_p: No Discriminator_loss: 0.0164971 Generator_loss: 0.428844
[INFO] 2021-01-01 14:36:18 > Step: 36200 Progress: 36.2% Elapsed: 6:22:48 temperature: no ada_p: No Discriminator_loss: 0.0430447 Generator_loss: 0.340991
[INFO] 2021-01-01 14:37:18 > Step: 36300 Progress: 36.3% Elapsed: 6:23:48 temperature: no ada_p: No Discriminator_loss: 0.335026 Generator_loss: 0.28956
[INFO] 2021-01-01 14:38:17 > Step: 36400 Progress: 36.4% Elapsed: 6:24:47 temperature: no ada_p: No Discriminator_loss: 0.0290873 Generator_loss: 0.461339
[INFO] 2021-01-01 14:39:16 > Step: 36500 Progress: 36.5% Elapsed: 6:25:46 temperature: no ada_p: No Discriminator_loss: 0.0081245 Generator_loss: 0.425207
[INFO] 2021-01-01 14:40:15 > Step: 36600 Progress: 36.6% Elapsed: 6:26:45 temperature: no ada_p: No Discriminator_loss: 0.0188146 Generator_loss: 0.398976
[INFO] 2021-01-01 14:41:14 > Step: 36700 Progress: 36.7% Elapsed: 6:27:44 temperature: no ada_p: No Discriminator_loss: 0.0179185 Generator_loss: 0.449387
[INFO] 2021-01-01 14:42:12 > Step: 36800 Progress: 36.8% Elapsed: 6:28:42 temperature: no ada_p: No Discriminator_loss: 0.0118272 Generator_loss: 0.380073
[INFO] 2021-01-01 14:43:11 > Step: 36900 Progress: 36.9% Elapsed: 6:29:41 temperature: no ada_p: No Discriminator_loss: 0.0048618 Generator_loss: 0.505328
[INFO] 2021-01-01 14:44:09 > Step: 37000 Progress: 37.0% Elapsed: 6:30:39 temperature: no ada_p: No Discriminator_loss: 0.273508 Generator_loss: 0.452931
[INFO] 2021-01-01 14:45:08 > Step: 37100 Progress: 37.1% Elapsed: 6:31:38 temperature: no ada_p: No Discriminator_loss: 0.033141 Generator_loss: 0.438183
[INFO] 2021-01-01 14:46:07 > Step: 37200 Progress: 37.2% Elapsed: 6:32:37 temperature: no ada_p: No Discriminator_loss: 0.0455984 Generator_loss: 0.50301
[INFO] 2021-01-01 14:47:05 > Step: 37300 Progress: 37.3% Elapsed: 6:33:35 temperature: no ada_p: No Discriminator_loss: 0.0264291 Generator_loss: 0.470038
[INFO] 2021-01-01 14:48:04 > Step: 37400 Progress: 37.4% Elapsed: 6:34:34 temperature: no ada_p: No Discriminator_loss: 0.0541471 Generator_loss: 0.594751
[INFO] 2021-01-01 14:49:03 > Step: 37500 Progress: 37.5% Elapsed: 6:35:33 temperature: no ada_p: No Discriminator_loss: 0.0114209 Generator_loss: 0.445642
[INFO] 2021-01-01 14:50:01 > Step: 37600 Progress: 37.6% Elapsed: 6:36:31 temperature: no ada_p: No Discriminator_loss: 0.00698753 Generator_loss: 0.480888
[INFO] 2021-01-01 14:51:00 > Step: 37700 Progress: 37.7% Elapsed: 6:37:30 temperature: no ada_p: No Discriminator_loss: 0.231015 Generator_loss: 0.523978
[INFO] 2021-01-01 14:51:58 > Step: 37800 Progress: 37.8% Elapsed: 6:38:28 temperature: no ada_p: No Discriminator_loss: 0.0821017 Generator_loss: 0.556693
[INFO] 2021-01-01 14:52:57 > Step: 37900 Progress: 37.9% Elapsed: 6:39:28 temperature: no ada_p: No Discriminator_loss: 0.00697714 Generator_loss: 0.474229
[INFO] 2021-01-01 14:53:56 > Step: 38000 Progress: 38.0% Elapsed: 6:40:26 temperature: no ada_p: No Discriminator_loss: 0.0148593 Generator_loss: 0.514097
[INFO] 2021-01-01 14:53:56 > Start Evaluation (38000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:53:56 > Calculating FID Score....
[INFO] 2021-01-01 14:54:22 > Calculating Inception Score....
[INFO] 2021-01-01 14:54:36 > Calculate F_beta Score....
[INFO] 2021-01-01 14:55:23 > Calculate Accuracies....
[INFO] 2021-01-01 14:55:29 > Calculate Accuracies....
[INFO] 2021-01-01 14:55:30 > F_8 score (Step: 38000, Using valid images): 0.4397201107763156
[INFO] 2021-01-01 14:55:30 > F_1/8 score (Step: 38000, Using valid images): 0.5910903009779285
[INFO] 2021-01-01 14:55:30 > FID score (Step: 38000, Using valid moments): 95.01733516977151
[INFO] 2021-01-01 14:55:30 > Inception score (Step: 38000, 10000 generated images): 5.8206586837768555
[INFO] 2021-01-01 14:55:30 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 14:55:32 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 14:56:29 > Step: 38100 Progress: 38.1% Elapsed: 6:43:00 temperature: no ada_p: No Discriminator_loss: 0.0129384 Generator_loss: 0.44423
[INFO] 2021-01-01 14:57:29 > Step: 38200 Progress: 38.2% Elapsed: 6:43:59 temperature: no ada_p: No Discriminator_loss: 0.503785 Generator_loss: 0.466332
[INFO] 2021-01-01 14:58:28 > Step: 38300 Progress: 38.3% Elapsed: 6:44:59 temperature: no ada_p: No Discriminator_loss: 0.0134555 Generator_loss: 0.438149
[INFO] 2021-01-01 14:59:27 > Step: 38400 Progress: 38.4% Elapsed: 6:45:58 temperature: no ada_p: No Discriminator_loss: 0.155891 Generator_loss: 0.468919
[INFO] 2021-01-01 15:00:26 > Step: 38500 Progress: 38.5% Elapsed: 6:46:56 temperature: no ada_p: No Discriminator_loss: 0.00505024 Generator_loss: 0.473701
[INFO] 2021-01-01 15:01:25 > Step: 38600 Progress: 38.6% Elapsed: 6:47:55 temperature: no ada_p: No Discriminator_loss: 0.00647278 Generator_loss: 0.475074
[INFO] 2021-01-01 15:02:24 > Step: 38700 Progress: 38.7% Elapsed: 6:48:54 temperature: no ada_p: No Discriminator_loss: 0.0129003 Generator_loss: 0.432036
[INFO] 2021-01-01 15:03:22 > Step: 38800 Progress: 38.8% Elapsed: 6:49:53 temperature: no ada_p: No Discriminator_loss: 0.00887211 Generator_loss: 0.405959
[INFO] 2021-01-01 15:04:21 > Step: 38900 Progress: 38.9% Elapsed: 6:50:51 temperature: no ada_p: No Discriminator_loss: 0.0109074 Generator_loss: 0.484927
[INFO] 2021-01-01 15:05:19 > Step: 39000 Progress: 39.0% Elapsed: 6:51:50 temperature: no ada_p: No Discriminator_loss: 0.152636 Generator_loss: 0.463103
[INFO] 2021-01-01 15:06:19 > Step: 39100 Progress: 39.1% Elapsed: 6:52:49 temperature: no ada_p: No Discriminator_loss: 0.00576667 Generator_loss: 0.437806
[INFO] 2021-01-01 15:07:17 > Step: 39200 Progress: 39.2% Elapsed: 6:53:47 temperature: no ada_p: No Discriminator_loss: 0.0183103 Generator_loss: 0.433105
[INFO] 2021-01-01 15:08:16 > Step: 39300 Progress: 39.3% Elapsed: 6:54:46 temperature: no ada_p: No Discriminator_loss: 0.025135 Generator_loss: 0.359171
[INFO] 2021-01-01 15:09:15 > Step: 39400 Progress: 39.4% Elapsed: 6:55:45 temperature: no ada_p: No Discriminator_loss: 0.0118552 Generator_loss: 0.416194
[INFO] 2021-01-01 15:10:13 > Step: 39500 Progress: 39.5% Elapsed: 6:56:44 temperature: no ada_p: No Discriminator_loss: 0.1118 Generator_loss: 0.515048
[INFO] 2021-01-01 15:11:12 > Step: 39600 Progress: 39.6% Elapsed: 6:57:42 temperature: no ada_p: No Discriminator_loss: 0.0156688 Generator_loss: 0.407327
[INFO] 2021-01-01 15:12:11 > Step: 39700 Progress: 39.7% Elapsed: 6:58:41 temperature: no ada_p: No Discriminator_loss: 0.00900111 Generator_loss: 0.449303
[INFO] 2021-01-01 15:13:10 > Step: 39800 Progress: 39.8% Elapsed: 6:59:40 temperature: no ada_p: No Discriminator_loss: 0.0113026 Generator_loss: 0.468345
[INFO] 2021-01-01 15:14:08 > Step: 39900 Progress: 39.9% Elapsed: 7:00:38 temperature: no ada_p: No Discriminator_loss: 0.024365 Generator_loss: 0.42702
[INFO] 2021-01-01 15:15:07 > Step: 40000 Progress: 40.0% Elapsed: 7:01:37 temperature: no ada_p: No Discriminator_loss: 0.00460897 Generator_loss: 0.468429
[INFO] 2021-01-01 15:15:07 > Start Evaluation (40000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 15:15:07 > Calculating FID Score....
[INFO] 2021-01-01 15:15:32 > Calculating Inception Score....
[INFO] 2021-01-01 15:15:47 > Calculate F_beta Score....
[INFO] 2021-01-01 15:16:33 > Calculate Accuracies....
[INFO] 2021-01-01 15:16:39 > Calculate Accuracies....
[INFO] 2021-01-01 15:16:40 > F_8 score (Step: 40000, Using valid images): 0.45086963194662755
[INFO] 2021-01-01 15:16:40 > F_1/8 score (Step: 40000, Using valid images): 0.622552115943289
[INFO] 2021-01-01 15:16:40 > FID score (Step: 40000, Using valid moments): 94.26145036015043
[INFO] 2021-01-01 15:16:40 > Inception score (Step: 40000, 10000 generated images): 6.122689723968506
[INFO] 2021-01-01 15:16:40 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 15:16:42 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 15:17:39 > Step: 40100 Progress: 40.1% Elapsed: 7:04:10 temperature: no ada_p: No Discriminator_loss: 0.01264 Generator_loss: 0.451487
[INFO] 2021-01-01 15:18:39 > Step: 40200 Progress: 40.2% Elapsed: 7:05:09 temperature: no ada_p: No Discriminator_loss: 0.0337894 Generator_loss: 0.527452
[INFO] 2021-01-01 15:19:38 > Step: 40300 Progress: 40.3% Elapsed: 7:06:08 temperature: no ada_p: No Discriminator_loss: 0.0189278 Generator_loss: 0.444535
[INFO] 2021-01-01 15:20:37 > Step: 40400 Progress: 40.4% Elapsed: 7:07:07 temperature: no ada_p: No Discriminator_loss: 0.14492 Generator_loss: 0.0605823
[INFO] 2021-01-01 15:21:36 > Step: 40500 Progress: 40.5% Elapsed: 7:08:06 temperature: no ada_p: No Discriminator_loss: 0.0102359 Generator_loss: 0.464298
[INFO] 2021-01-01 15:22:35 > Step: 40600 Progress: 40.6% Elapsed: 7:09:05 temperature: no ada_p: No Discriminator_loss: 0.00474992 Generator_loss: 0.458974
[INFO] 2021-01-01 15:23:34 > Step: 40700 Progress: 40.7% Elapsed: 7:10:04 temperature: no ada_p: No Discriminator_loss: 0.0657786 Generator_loss: 0.627981
[INFO] 2021-01-01 15:24:33 > Step: 40800 Progress: 40.8% Elapsed: 7:11:03 temperature: no ada_p: No Discriminator_loss: 0.00754927 Generator_loss: 0.428268
[INFO] 2021-01-01 15:25:31 > Step: 40900 Progress: 40.9% Elapsed: 7:12:01 temperature: no ada_p: No Discriminator_loss: 0.0115426 Generator_loss: 0.43868
[INFO] 2021-01-01 15:26:30 > Step: 41000 Progress: 41.0% Elapsed: 7:13:00 temperature: no ada_p: No Discriminator_loss: 0.33308 Generator_loss: 0.487504
[INFO] 2021-01-01 15:27:28 > Step: 41100 Progress: 41.1% Elapsed: 7:13:59 temperature: no ada_p: No Discriminator_loss: 0.00357461 Generator_loss: 0.475295
[INFO] 2021-01-01 15:28:27 > Step: 41200 Progress: 41.2% Elapsed: 7:14:57 temperature: no ada_p: No Discriminator_loss: 0.012963 Generator_loss: 0.43833
[INFO] 2021-01-01 15:29:25 > Step: 41300 Progress: 41.3% Elapsed: 7:15:55 temperature: no ada_p: No Discriminator_loss: 0.391791 Generator_loss: 0.633776
[INFO] 2021-01-01 15:30:24 > Step: 41400 Progress: 41.4% Elapsed: 7:16:55 temperature: no ada_p: No Discriminator_loss: 0.0104701 Generator_loss: 0.577138
[INFO] 2021-01-01 15:31:23 > Step: 41500 Progress: 41.5% Elapsed: 7:17:53 temperature: no ada_p: No Discriminator_loss: 0.0130989 Generator_loss: 0.455849
[INFO] 2021-01-01 15:32:22 > Step: 41600 Progress: 41.6% Elapsed: 7:18:52 temperature: no ada_p: No Discriminator_loss: 0.0257635 Generator_loss: 0.501121
[INFO] 2021-01-01 15:33:20 > Step: 41700 Progress: 41.7% Elapsed: 7:19:50 temperature: no ada_p: No Discriminator_loss: 0.0062256 Generator_loss: 0.458053
[INFO] 2021-01-01 15:34:19 > Step: 41800 Progress: 41.8% Elapsed: 7:20:49 temperature: no ada_p: No Discriminator_loss: 0.0194589 Generator_loss: 0.431412
[INFO] 2021-01-01 15:35:18 > Step: 41900 Progress: 41.9% Elapsed: 7:21:48 temperature: no ada_p: No Discriminator_loss: 0.00644079 Generator_loss: 0.434368
[INFO] 2021-01-01 15:36:16 > Step: 42000 Progress: 42.0% Elapsed: 7:22:47 temperature: no ada_p: No Discriminator_loss: 0.0157751 Generator_loss: 0.498233
[INFO] 2021-01-01 15:36:16 > Start Evaluation (42000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 15:36:16 > Calculating FID Score....
[INFO] 2021-01-01 15:36:42 > Calculating Inception Score....
[INFO] 2021-01-01 15:36:57 > Calculate F_beta Score....
[INFO] 2021-01-01 15:37:44 > Calculate Accuracies....
[INFO] 2021-01-01 15:37:50 > Calculate Accuracies....
[INFO] 2021-01-01 15:37:51 > F_8 score (Step: 42000, Using valid images): 0.1992891130690408
[INFO] 2021-01-01 15:37:51 > F_1/8 score (Step: 42000, Using valid images): 0.20301291657240833
[INFO] 2021-01-01 15:37:51 > FID score (Step: 42000, Using valid moments): 146.5732741963896
[INFO] 2021-01-01 15:37:51 > Inception score (Step: 42000, 10000 generated images): 3.9024136066436768
[INFO] 2021-01-01 15:37:51 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 15:37:53 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 15:38:51 > Step: 42100 Progress: 42.1% Elapsed: 7:25:21 temperature: no ada_p: No Discriminator_loss: 0.00254846 Generator_loss: 0.493163
[INFO] 2021-01-01 15:39:51 > Step: 42200 Progress: 42.2% Elapsed: 7:26:21 temperature: no ada_p: No Discriminator_loss: 0.000839533 Generator_loss: 0.488715
[INFO] 2021-01-01 15:40:50 > Step: 42300 Progress: 42.3% Elapsed: 7:27:20 temperature: no ada_p: No Discriminator_loss: 0.00378393 Generator_loss: 0.455853
[INFO] 2021-01-01 15:41:48 > Step: 42400 Progress: 42.4% Elapsed: 7:28:19 temperature: no ada_p: No Discriminator_loss: 0.0325881 Generator_loss: 0.39329
[INFO] 2021-01-01 15:42:47 > Step: 42500 Progress: 42.5% Elapsed: 7:29:17 temperature: no ada_p: No Discriminator_loss: 0.00502957 Generator_loss: 0.470602
[INFO] 2021-01-01 15:43:46 > Step: 42600 Progress: 42.6% Elapsed: 7:30:17 temperature: no ada_p: No Discriminator_loss: 0.00549468 Generator_loss: 0.503379
[INFO] 2021-01-01 15:44:45 > Step: 42700 Progress: 42.7% Elapsed: 7:31:15 temperature: no ada_p: No Discriminator_loss: 0.00792102 Generator_loss: 0.470298
[INFO] 2021-01-01 15:45:44 > Step: 42800 Progress: 42.8% Elapsed: 7:32:14 temperature: no ada_p: No Discriminator_loss: 0.108322 Generator_loss: 0.536759
[INFO] 2021-01-01 15:46:42 > Step: 42900 Progress: 42.9% Elapsed: 7:33:12 temperature: no ada_p: No Discriminator_loss: 0.00642621 Generator_loss: 0.47192
[INFO] 2021-01-01 15:47:42 > Step: 43000 Progress: 43.0% Elapsed: 7:34:12 temperature: no ada_p: No Discriminator_loss: 0.0110447 Generator_loss: 0.441293
[INFO] 2021-01-01 15:48:40 > Step: 43100 Progress: 43.1% Elapsed: 7:35:10 temperature: no ada_p: No Discriminator_loss: 0.00632217 Generator_loss: 0.495356
[INFO] 2021-01-01 15:49:39 > Step: 43200 Progress: 43.2% Elapsed: 7:36:09 temperature: no ada_p: No Discriminator_loss: 0.00677458 Generator_loss: 0.471267
[INFO] 2021-01-01 15:50:38 > Step: 43300 Progress: 43.3% Elapsed: 7:37:08 temperature: no ada_p: No Discriminator_loss: 0.00321531 Generator_loss: 0.464583
[INFO] 2021-01-01 15:51:36 > Step: 43400 Progress: 43.4% Elapsed: 7:38:06 temperature: no ada_p: No Discriminator_loss: 0.0460274 Generator_loss: 0.538898
[INFO] 2021-01-01 15:52:35 > Step: 43500 Progress: 43.5% Elapsed: 7:39:05 temperature: no ada_p: No Discriminator_loss: 0.374044 Generator_loss: 0.426352
[INFO] 2021-01-01 15:53:33 > Step: 43600 Progress: 43.6% Elapsed: 7:40:03 temperature: no ada_p: No Discriminator_loss: 0.0121928 Generator_loss: 0.448654
[INFO] 2021-01-01 15:54:32 > Step: 43700 Progress: 43.7% Elapsed: 7:41:02 temperature: no ada_p: No Discriminator_loss: 0.0212732 Generator_loss: 0.444252
[INFO] 2021-01-01 15:55:30 > Step: 43800 Progress: 43.8% Elapsed: 7:42:00 temperature: no ada_p: No Discriminator_loss: 0.00653477 Generator_loss: 0.453246
[INFO] 2021-01-01 15:56:29 > Step: 43900 Progress: 43.9% Elapsed: 7:42:59 temperature: no ada_p: No Discriminator_loss: 0.00813511 Generator_loss: 0.44375
[INFO] 2021-01-01 15:57:27 > Step: 44000 Progress: 44.0% Elapsed: 7:43:57 temperature: no ada_p: No Discriminator_loss: 0.0107798 Generator_loss: 0.434552
[INFO] 2021-01-01 15:57:27 > Start Evaluation (44000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 15:57:27 > Calculating FID Score....
[INFO] 2021-01-01 15:57:53 > Calculating Inception Score....
[INFO] 2021-01-01 15:58:08 > Calculate F_beta Score....
[INFO] 2021-01-01 15:58:54 > Calculate Accuracies....
[INFO] 2021-01-01 15:59:00 > Calculate Accuracies....
[INFO] 2021-01-01 15:59:01 > F_8 score (Step: 44000, Using valid images): 0.08349614611729488
[INFO] 2021-01-01 15:59:01 > F_1/8 score (Step: 44000, Using valid images): 0.16345041337675778
[INFO] 2021-01-01 15:59:01 > FID score (Step: 44000, Using valid moments): 171.4070871486785
[INFO] 2021-01-01 15:59:01 > Inception score (Step: 44000, 10000 generated images): 4.052053928375244
[INFO] 2021-01-01 15:59:01 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 15:59:03 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 16:00:01 > Step: 44100 Progress: 44.1% Elapsed: 7:46:31 temperature: no ada_p: No Discriminator_loss: 0.00525951 Generator_loss: 0.450812
[INFO] 2021-01-01 16:01:00 > Step: 44200 Progress: 44.2% Elapsed: 7:47:30 temperature: no ada_p: No Discriminator_loss: 0.303927 Generator_loss: 0.406447
[INFO] 2021-01-01 16:01:59 > Step: 44300 Progress: 44.3% Elapsed: 7:48:30 temperature: no ada_p: No Discriminator_loss: 0.00818274 Generator_loss: 0.474563
[INFO] 2021-01-01 16:02:58 > Step: 44400 Progress: 44.4% Elapsed: 7:49:28 temperature: no ada_p: No Discriminator_loss: 0.0109988 Generator_loss: 0.403337
[INFO] 2021-01-01 16:03:57 > Step: 44500 Progress: 44.5% Elapsed: 7:50:27 temperature: no ada_p: No Discriminator_loss: 0.0122752 Generator_loss: 0.498799
[INFO] 2021-01-01 16:04:56 > Step: 44600 Progress: 44.6% Elapsed: 7:51:26 temperature: no ada_p: No Discriminator_loss: 0.0171981 Generator_loss: 0.426962
[INFO] 2021-01-01 16:05:54 > Step: 44700 Progress: 44.7% Elapsed: 7:52:24 temperature: no ada_p: No Discriminator_loss: 0.00919226 Generator_loss: 0.537876
[INFO] 2021-01-01 16:06:53 > Step: 44800 Progress: 44.8% Elapsed: 7:53:23 temperature: no ada_p: No Discriminator_loss: 0.00543353 Generator_loss: 0.447582
[INFO] 2021-01-01 16:07:52 > Step: 44900 Progress: 44.9% Elapsed: 7:54:22 temperature: no ada_p: No Discriminator_loss: 0.189936 Generator_loss: 0.455232
[INFO] 2021-01-01 16:08:50 > Step: 45000 Progress: 45.0% Elapsed: 7:55:20 temperature: no ada_p: No Discriminator_loss: 0.0177412 Generator_loss: 0.452126
[INFO] 2021-01-01 16:09:49 > Step: 45100 Progress: 45.1% Elapsed: 7:56:19 temperature: no ada_p: No Discriminator_loss: 0.00573996 Generator_loss: 0.43422
[INFO] 2021-01-01 16:10:47 > Step: 45200 Progress: 45.2% Elapsed: 7:57:17 temperature: no ada_p: No Discriminator_loss: 0.0103954 Generator_loss: 0.418446
[INFO] 2021-01-01 16:11:46 > Step: 45300 Progress: 45.3% Elapsed: 7:58:16 temperature: no ada_p: No Discriminator_loss: 0.0793662 Generator_loss: 0.430861
[INFO] 2021-01-01 16:12:45 > Step: 45400 Progress: 45.4% Elapsed: 7:59:15 temperature: no ada_p: No Discriminator_loss: 0.0195239 Generator_loss: 0.556841
[INFO] 2021-01-01 16:13:43 > Step: 45500 Progress: 45.5% Elapsed: 8:00:14 temperature: no ada_p: No Discriminator_loss: 0.00638606 Generator_loss: 0.421884
[INFO] 2021-01-01 16:14:42 > Step: 45600 Progress: 45.6% Elapsed: 8:01:12 temperature: no ada_p: No Discriminator_loss: 0.011242 Generator_loss: 0.709557
[INFO] 2021-01-01 16:15:41 > Step: 45700 Progress: 45.7% Elapsed: 8:02:11 temperature: no ada_p: No Discriminator_loss: 0.00683678 Generator_loss: 0.478095
[INFO] 2021-01-01 16:16:40 > Step: 45800 Progress: 45.8% Elapsed: 8:03:10 temperature: no ada_p: No Discriminator_loss: 0.00622734 Generator_loss: 0.418315
[INFO] 2021-01-01 16:17:38 > Step: 45900 Progress: 45.9% Elapsed: 8:04:08 temperature: no ada_p: No Discriminator_loss: 0.00497076 Generator_loss: 0.435302
[INFO] 2021-01-01 16:18:36 > Step: 46000 Progress: 46.0% Elapsed: 8:05:06 temperature: no ada_p: No Discriminator_loss: 0.00242169 Generator_loss: 0.477617
[INFO] 2021-01-01 16:18:36 > Start Evaluation (46000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 16:18:36 > Calculating FID Score....
[INFO] 2021-01-01 16:19:02 > Calculating Inception Score....
[INFO] 2021-01-01 16:19:17 > Calculate F_beta Score....
[INFO] 2021-01-01 16:20:02 > Calculate Accuracies....
[INFO] 2021-01-01 16:20:08 > Calculate Accuracies....
[INFO] 2021-01-01 16:20:10 > F_8 score (Step: 46000, Using valid images): 0.20390191629137897
[INFO] 2021-01-01 16:20:10 > F_1/8 score (Step: 46000, Using valid images): 0.10393585540372775
[INFO] 2021-01-01 16:20:10 > FID score (Step: 46000, Using valid moments): 185.00847721452504
[INFO] 2021-01-01 16:20:10 > Inception score (Step: 46000, 10000 generated images): 3.0148637294769287
[INFO] 2021-01-01 16:20:10 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 16:20:11 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 16:21:09 > Step: 46100 Progress: 46.1% Elapsed: 8:07:39 temperature: no ada_p: No Discriminator_loss: 0.829054 Generator_loss: 0.549127
[INFO] 2021-01-01 16:22:09 > Step: 46200 Progress: 46.2% Elapsed: 8:08:39 temperature: no ada_p: No Discriminator_loss: 0.354273 Generator_loss: 0.446133
[INFO] 2021-01-01 16:23:08 > Step: 46300 Progress: 46.3% Elapsed: 8:09:38 temperature: no ada_p: No Discriminator_loss: 0.00505735 Generator_loss: 0.464335
[INFO] 2021-01-01 16:24:06 > Step: 46400 Progress: 46.4% Elapsed: 8:10:36 temperature: no ada_p: No Discriminator_loss: 0.00427191 Generator_loss: 0.443917
[INFO] 2021-01-01 16:25:06 > Step: 46500 Progress: 46.5% Elapsed: 8:11:36 temperature: no ada_p: No Discriminator_loss: 0.00838787 Generator_loss: 0.4476
[INFO] 2021-01-01 16:26:04 > Step: 46600 Progress: 46.6% Elapsed: 8:12:34 temperature: no ada_p: No Discriminator_loss: 0.277369 Generator_loss: 0.393233
[INFO] 2021-01-01 16:27:03 > Step: 46700 Progress: 46.7% Elapsed: 8:13:33 temperature: no ada_p: No Discriminator_loss: 0.00571536 Generator_loss: 0.445232
[INFO] 2021-01-01 16:28:02 > Step: 46800 Progress: 46.8% Elapsed: 8:14:32 temperature: no ada_p: No Discriminator_loss: 0.00383306 Generator_loss: 0.445366
[INFO] 2021-01-01 16:29:01 > Step: 46900 Progress: 46.9% Elapsed: 8:15:31 temperature: no ada_p: No Discriminator_loss: 0.0017618 Generator_loss: 0.489702
[INFO] 2021-01-01 16:29:59 > Step: 47000 Progress: 47.0% Elapsed: 8:16:29 temperature: no ada_p: No Discriminator_loss: 0.0144462 Generator_loss: 0.448809
[INFO] 2021-01-01 16:30:57 > Step: 47100 Progress: 47.1% Elapsed: 8:17:28 temperature: no ada_p: No Discriminator_loss: 0.00503133 Generator_loss: 0.433556
[INFO] 2021-01-01 16:31:56 > Step: 47200 Progress: 47.2% Elapsed: 8:18:27 temperature: no ada_p: No Discriminator_loss: 0.352587 Generator_loss: 1.47641
[INFO] 2021-01-01 16:32:55 > Step: 47300 Progress: 47.3% Elapsed: 8:19:25 temperature: no ada_p: No Discriminator_loss: 0.00692715 Generator_loss: 0.445257
[INFO] 2021-01-01 16:33:53 > Step: 47400 Progress: 47.4% Elapsed: 8:20:23 temperature: no ada_p: No Discriminator_loss: 0.00354428 Generator_loss: 0.452488
[INFO] 2021-01-01 16:34:52 > Step: 47500 Progress: 47.5% Elapsed: 8:21:22 temperature: no ada_p: No Discriminator_loss: 0.00592217 Generator_loss: 0.4682
[INFO] 2021-01-01 16:35:51 > Step: 47600 Progress: 47.6% Elapsed: 8:22:21 temperature: no ada_p: No Discriminator_loss: 0.382474 Generator_loss: 0.0214255
[INFO] 2021-01-01 16:36:49 > Step: 47700 Progress: 47.7% Elapsed: 8:23:19 temperature: no ada_p: No Discriminator_loss: 0.0413851 Generator_loss: 0.484752
[INFO] 2021-01-01 16:37:48 > Step: 47800 Progress: 47.8% Elapsed: 8:24:18 temperature: no ada_p: No Discriminator_loss: 0.172006 Generator_loss: 0.45376
[INFO] 2021-01-01 16:38:46 > Step: 47900 Progress: 47.9% Elapsed: 8:25:16 temperature: no ada_p: No Discriminator_loss: 0.183774 Generator_loss: 0.431464
[INFO] 2021-01-01 16:39:45 > Step: 48000 Progress: 48.0% Elapsed: 8:26:15 temperature: no ada_p: No Discriminator_loss: 0.328393 Generator_loss: 0.318647
[INFO] 2021-01-01 16:39:45 > Start Evaluation (48000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 16:39:45 > Calculating FID Score....
[INFO] 2021-01-01 16:40:11 > Calculating Inception Score....
[INFO] 2021-01-01 16:40:26 > Calculate F_beta Score....
[INFO] 2021-01-01 16:41:11 > Calculate Accuracies....
[INFO] 2021-01-01 16:41:17 > Calculate Accuracies....
[INFO] 2021-01-01 16:41:19 > F_8 score (Step: 48000, Using valid images): 0.11342711207230569
[INFO] 2021-01-01 16:41:19 > F_1/8 score (Step: 48000, Using valid images): 0.15010622340120125
[INFO] 2021-01-01 16:41:19 > FID score (Step: 48000, Using valid moments): 183.99482857627146
[INFO] 2021-01-01 16:41:19 > Inception score (Step: 48000, 10000 generated images): 3.402717351913452
[INFO] 2021-01-01 16:41:19 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 16:41:20 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 16:42:18 > Step: 48100 Progress: 48.1% Elapsed: 8:28:48 temperature: no ada_p: No Discriminator_loss: 0.0552882 Generator_loss: 0.0776425
[INFO] 2021-01-01 16:43:17 > Step: 48200 Progress: 48.2% Elapsed: 8:29:47 temperature: no ada_p: No Discriminator_loss: 0.264058 Generator_loss: 0.541349
[INFO] 2021-01-01 16:44:16 > Step: 48300 Progress: 48.3% Elapsed: 8:30:46 temperature: no ada_p: No Discriminator_loss: 0.0105065 Generator_loss: 0.399521
[INFO] 2021-01-01 16:45:15 > Step: 48400 Progress: 48.4% Elapsed: 8:31:45 temperature: no ada_p: No Discriminator_loss: 0.0216671 Generator_loss: 0.502109
[INFO] 2021-01-01 16:46:14 > Step: 48500 Progress: 48.5% Elapsed: 8:32:44 temperature: no ada_p: No Discriminator_loss: 0.00524528 Generator_loss: 0.505152
[INFO] 2021-01-01 16:47:12 > Step: 48600 Progress: 48.6% Elapsed: 8:33:42 temperature: no ada_p: No Discriminator_loss: 0.00244182 Generator_loss: 0.494941
[INFO] 2021-01-01 16:48:11 > Step: 48700 Progress: 48.7% Elapsed: 8:34:41 temperature: no ada_p: No Discriminator_loss: 0.0107648 Generator_loss: 0.415043
[INFO] 2021-01-01 16:49:10 > Step: 48800 Progress: 48.8% Elapsed: 8:35:40 temperature: no ada_p: No Discriminator_loss: 0.0583172 Generator_loss: 0.433834
[INFO] 2021-01-01 16:50:08 > Step: 48900 Progress: 48.9% Elapsed: 8:36:38 temperature: no ada_p: No Discriminator_loss: 0.00572523 Generator_loss: 0.426722
[INFO] 2021-01-01 16:51:07 > Step: 49000 Progress: 49.0% Elapsed: 8:37:37 temperature: no ada_p: No Discriminator_loss: 0.0350494 Generator_loss: 0.360855
[INFO] 2021-01-01 16:52:05 > Step: 49100 Progress: 49.1% Elapsed: 8:38:35 temperature: no ada_p: No Discriminator_loss: 0.0180753 Generator_loss: 0.505623
[INFO] 2021-01-01 16:53:04 > Step: 49200 Progress: 49.2% Elapsed: 8:39:34 temperature: no ada_p: No Discriminator_loss: 0.00853496 Generator_loss: 0.415413
[INFO] 2021-01-01 16:54:02 > Step: 49300 Progress: 49.3% Elapsed: 8:40:33 temperature: no ada_p: No Discriminator_loss: 0.007186 Generator_loss: 0.447429
[INFO] 2021-01-01 16:55:01 > Step: 49400 Progress: 49.4% Elapsed: 8:41:31 temperature: no ada_p: No Discriminator_loss: 0.448902 Generator_loss: 0.50425
[INFO] 2021-01-01 16:56:00 > Step: 49500 Progress: 49.5% Elapsed: 8:42:30 temperature: no ada_p: No Discriminator_loss: 0.00227168 Generator_loss: 0.476286
[INFO] 2021-01-01 16:56:58 > Step: 49600 Progress: 49.6% Elapsed: 8:43:29 temperature: no ada_p: No Discriminator_loss: 0.0566545 Generator_loss: 0.52797
[INFO] 2021-01-01 16:57:57 > Step: 49700 Progress: 49.7% Elapsed: 8:44:27 temperature: no ada_p: No Discriminator_loss: 0.384167 Generator_loss: 0.457142
[INFO] 2021-01-01 16:58:55 > Step: 49800 Progress: 49.8% Elapsed: 8:45:25 temperature: no ada_p: No Discriminator_loss: 0.00167438 Generator_loss: 0.488018
[INFO] 2021-01-01 16:59:54 > Step: 49900 Progress: 49.9% Elapsed: 8:46:24 temperature: no ada_p: No Discriminator_loss: 0.0209551 Generator_loss: 0.446674
[INFO] 2021-01-01 17:00:53 > Step: 50000 Progress: 50.0% Elapsed: 8:47:23 temperature: no ada_p: No Discriminator_loss: 0.336873 Generator_loss: 0.338004
[INFO] 2021-01-01 17:00:53 > Start Evaluation (50000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:00:53 > Calculating FID Score....
[INFO] 2021-01-01 17:01:18 > Calculating Inception Score....
[INFO] 2021-01-01 17:01:33 > Calculate F_beta Score....
[INFO] 2021-01-01 17:02:18 > Calculate Accuracies....
[INFO] 2021-01-01 17:02:24 > Calculate Accuracies....
[INFO] 2021-01-01 17:02:25 > F_8 score (Step: 50000, Using valid images): 0.21021125656822617
[INFO] 2021-01-01 17:02:25 > F_1/8 score (Step: 50000, Using valid images): 0.020523706959746185
[INFO] 2021-01-01 17:02:25 > FID score (Step: 50000, Using valid moments): 221.8293796901698
[INFO] 2021-01-01 17:02:25 > Inception score (Step: 50000, 10000 generated images): 2.677508592605591
[INFO] 2021-01-01 17:02:25 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 17:02:27 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:03:25 > Step: 50100 Progress: 50.1% Elapsed: 8:49:55 temperature: no ada_p: No Discriminator_loss: 0.00255293 Generator_loss: 0.464486
[INFO] 2021-01-01 17:04:24 > Step: 50200 Progress: 50.2% Elapsed: 8:50:54 temperature: no ada_p: No Discriminator_loss: 0.00107695 Generator_loss: 0.496024
[INFO] 2021-01-01 17:05:23 > Step: 50300 Progress: 50.3% Elapsed: 8:51:53 temperature: no ada_p: No Discriminator_loss: 0.0212943 Generator_loss: 0.516829
[INFO] 2021-01-01 17:06:22 > Step: 50400 Progress: 50.4% Elapsed: 8:52:52 temperature: no ada_p: No Discriminator_loss: 0.00372591 Generator_loss: 0.455579
[INFO] 2021-01-01 17:07:21 > Step: 50500 Progress: 50.5% Elapsed: 8:53:51 temperature: no ada_p: No Discriminator_loss: 0.370111 Generator_loss: 0.454633
[INFO] 2021-01-01 17:08:20 > Step: 50600 Progress: 50.6% Elapsed: 8:54:50 temperature: no ada_p: No Discriminator_loss: 0.256242 Generator_loss: 0.410897
[INFO] 2021-01-01 17:09:18 > Step: 50700 Progress: 50.7% Elapsed: 8:55:48 temperature: no ada_p: No Discriminator_loss: 0.0045258 Generator_loss: 0.420431
[INFO] 2021-01-01 17:10:17 > Step: 50800 Progress: 50.8% Elapsed: 8:56:47 temperature: no ada_p: No Discriminator_loss: 0.00255016 Generator_loss: 0.463119
[INFO] 2021-01-01 17:11:16 > Step: 50900 Progress: 50.9% Elapsed: 8:57:46 temperature: no ada_p: No Discriminator_loss: 0.0287397 Generator_loss: 0.363261
[INFO] 2021-01-01 17:12:14 > Step: 51000 Progress: 51.0% Elapsed: 8:58:44 temperature: no ada_p: No Discriminator_loss: 0.117154 Generator_loss: 0.501403
[INFO] 2021-01-01 17:13:13 > Step: 51100 Progress: 51.1% Elapsed: 8:59:43 temperature: no ada_p: No Discriminator_loss: 0.32106 Generator_loss: 0.430842
[INFO] 2021-01-01 17:14:11 > Step: 51200 Progress: 51.2% Elapsed: 9:00:42 temperature: no ada_p: No Discriminator_loss: 0.00292201 Generator_loss: 0.470491
[INFO] 2021-01-01 17:15:10 > Step: 51300 Progress: 51.3% Elapsed: 9:01:40 temperature: no ada_p: No Discriminator_loss: 0.0925608 Generator_loss: 0.412722
[INFO] 2021-01-01 17:16:08 > Step: 51400 Progress: 51.4% Elapsed: 9:02:39 temperature: no ada_p: No Discriminator_loss: 0.00330925 Generator_loss: 0.432835
[INFO] 2021-01-01 17:17:07 > Step: 51500 Progress: 51.5% Elapsed: 9:03:38 temperature: no ada_p: No Discriminator_loss: 0.00115745 Generator_loss: 0.487339
[INFO] 2021-01-01 17:18:06 > Step: 51600 Progress: 51.6% Elapsed: 9:04:36 temperature: no ada_p: No Discriminator_loss: 0.0066625 Generator_loss: 0.471587
[INFO] 2021-01-01 17:19:05 > Step: 51700 Progress: 51.7% Elapsed: 9:05:35 temperature: no ada_p: No Discriminator_loss: 0.0499136 Generator_loss: 0.467117
[INFO] 2021-01-01 17:20:03 > Step: 51800 Progress: 51.8% Elapsed: 9:06:33 temperature: no ada_p: No Discriminator_loss: 0.00349845 Generator_loss: 0.527587
[INFO] 2021-01-01 17:21:02 > Step: 51900 Progress: 51.9% Elapsed: 9:07:32 temperature: no ada_p: No Discriminator_loss: 0.00700222 Generator_loss: 0.462012
[INFO] 2021-01-01 17:22:01 > Step: 52000 Progress: 52.0% Elapsed: 9:08:31 temperature: no ada_p: No Discriminator_loss: 0.265109 Generator_loss: 0.13295
[INFO] 2021-01-01 17:22:01 > Start Evaluation (52000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:22:01 > Calculating FID Score....
[INFO] 2021-01-01 17:22:26 > Calculating Inception Score....
[INFO] 2021-01-01 17:22:41 > Calculate F_beta Score....
[INFO] 2021-01-01 17:23:26 > Calculate Accuracies....
[INFO] 2021-01-01 17:23:33 > Calculate Accuracies....
[INFO] 2021-01-01 17:23:34 > F_8 score (Step: 52000, Using valid images): 0.06208641173376065
[INFO] 2021-01-01 17:23:34 > F_1/8 score (Step: 52000, Using valid images): 0.11386857022207786
[INFO] 2021-01-01 17:23:34 > FID score (Step: 52000, Using valid moments): 182.76411719596967
[INFO] 2021-01-01 17:23:34 > Inception score (Step: 52000, 10000 generated images): 3.7847273349761963
[INFO] 2021-01-01 17:23:34 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 17:23:35 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:24:33 > Step: 52100 Progress: 52.1% Elapsed: 9:11:03 temperature: no ada_p: No Discriminator_loss: 0.000862314 Generator_loss: 0.498847
[INFO] 2021-01-01 17:25:32 > Step: 52200 Progress: 52.2% Elapsed: 9:12:02 temperature: no ada_p: No Discriminator_loss: 0.00919601 Generator_loss: 0.433698
[INFO] 2021-01-01 17:26:32 > Step: 52300 Progress: 52.3% Elapsed: 9:13:02 temperature: no ada_p: No Discriminator_loss: 0.0142856 Generator_loss: 0.45153
[INFO] 2021-01-01 17:27:31 > Step: 52400 Progress: 52.4% Elapsed: 9:14:01 temperature: no ada_p: No Discriminator_loss: 0.0501256 Generator_loss: 0.19252
[INFO] 2021-01-01 17:28:29 > Step: 52500 Progress: 52.5% Elapsed: 9:14:59 temperature: no ada_p: No Discriminator_loss: 0.00358628 Generator_loss: 0.501464
[INFO] 2021-01-01 17:29:28 > Step: 52600 Progress: 52.6% Elapsed: 9:15:58 temperature: no ada_p: No Discriminator_loss: 0.00126496 Generator_loss: 0.470446
[INFO] 2021-01-01 17:30:27 > Step: 52700 Progress: 52.7% Elapsed: 9:16:57 temperature: no ada_p: No Discriminator_loss: 0.00594131 Generator_loss: 0.440196
[INFO] 2021-01-01 17:31:25 > Step: 52800 Progress: 52.8% Elapsed: 9:17:56 temperature: no ada_p: No Discriminator_loss: 0.230863 Generator_loss: 0.551286
[INFO] 2021-01-01 17:32:24 > Step: 52900 Progress: 52.9% Elapsed: 9:18:54 temperature: no ada_p: No Discriminator_loss: 0.00193384 Generator_loss: 0.474357
[INFO] 2021-01-01 17:33:23 > Step: 53000 Progress: 53.0% Elapsed: 9:19:53 temperature: no ada_p: No Discriminator_loss: 0.00477089 Generator_loss: 0.427924
[INFO] 2021-01-01 17:34:22 > Step: 53100 Progress: 53.1% Elapsed: 9:20:52 temperature: no ada_p: No Discriminator_loss: 0.00707155 Generator_loss: 0.438355
[INFO] 2021-01-01 17:35:20 > Step: 53200 Progress: 53.2% Elapsed: 9:21:50 temperature: no ada_p: No Discriminator_loss: 0.00251306 Generator_loss: 0.447757
[INFO] 2021-01-01 17:36:19 > Step: 53300 Progress: 53.3% Elapsed: 9:22:49 temperature: no ada_p: No Discriminator_loss: 0.00361089 Generator_loss: 0.429843
[INFO] 2021-01-01 17:37:17 > Step: 53400 Progress: 53.4% Elapsed: 9:23:47 temperature: no ada_p: No Discriminator_loss: 0.00381786 Generator_loss: 0.460901
[INFO] 2021-01-01 17:38:16 > Step: 53500 Progress: 53.5% Elapsed: 9:24:46 temperature: no ada_p: No Discriminator_loss: 0.00200502 Generator_loss: 0.450863
[INFO] 2021-01-01 17:39:14 > Step: 53600 Progress: 53.6% Elapsed: 9:25:44 temperature: no ada_p: No Discriminator_loss: 0.091814 Generator_loss: 0.565862
[INFO] 2021-01-01 17:40:13 > Step: 53700 Progress: 53.7% Elapsed: 9:26:43 temperature: no ada_p: No Discriminator_loss: 0.00186034 Generator_loss: 0.540534
[INFO] 2021-01-01 17:41:11 > Step: 53800 Progress: 53.8% Elapsed: 9:27:41 temperature: no ada_p: No Discriminator_loss: 0.00163541 Generator_loss: 0.494101
[INFO] 2021-01-01 17:42:10 > Step: 53900 Progress: 53.9% Elapsed: 9:28:40 temperature: no ada_p: No Discriminator_loss: 0.0170147 Generator_loss: 0.374325
[INFO] 2021-01-01 17:43:09 > Step: 54000 Progress: 54.0% Elapsed: 9:29:39 temperature: no ada_p: No Discriminator_loss: 0.00218167 Generator_loss: 0.473655
[INFO] 2021-01-01 17:43:09 > Start Evaluation (54000 Step): LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:43:09 > Calculating FID Score....
[INFO] 2021-01-01 17:43:34 > Calculating Inception Score....
[INFO] 2021-01-01 17:43:49 > Calculate F_beta Score....
[INFO] 2021-01-01 17:44:34 > Calculate Accuracies....
[INFO] 2021-01-01 17:44:40 > Calculate Accuracies....
[INFO] 2021-01-01 17:44:42 > F_8 score (Step: 54000, Using valid images): 0.07030740599921972
[INFO] 2021-01-01 17:44:42 > F_1/8 score (Step: 54000, Using valid images): 0.09547001739146363
[INFO] 2021-01-01 17:44:42 > FID score (Step: 54000, Using valid moments): 193.13513150059964
[INFO] 2021-01-01 17:44:42 > Inception score (Step: 54000, 10000 generated images): 2.986891031265259
[INFO] 2021-01-01 17:44:42 > Best FID score (Step: 36000, Using valid moments): 90.00847030941662
[INFO] 2021-01-01 17:44:43 > Save model to checkpoints/LSGAN-train-2021_01_01_08_13_17
[INFO] 2021-01-01 17:45:41 > Step: 54100 Progress: 54.1% Elapsed: 9:32:11 temperature: no ada_p: No Discriminator_loss: 0.0324867 Generator_loss: 0.570098
[INFO] 2021-01-01 17:46:40 > Step: 54200 Progress: 54.2% Elapsed: 9:33:10 temperature: no ada_p: No Discriminator_loss: 0.394669 Generator_loss: 0.424495
[INFO] 2021-01-01 17:47:40 > Step: 54300 Progress: 54.3% Elapsed: 9:34:10 temperature: no ada_p: No Discriminator_loss: 0.0020647 Generator_loss: 0.506129
[INFO] 2021-01-01 17:48:39 > Step: 54400 Progress: 54.4% Elapsed: 9:35:09 temperature: no ada_p: No Discriminator_loss: 0.00704315 Generator_loss: 0.470354
[INFO] 2021-01-01 17:49:37 > Step: 54500 Progress: 54.5% Elapsed: 9:36:07 temperature: no ada_p: No Discriminator_loss: 0.00145402 Generator_loss: 0.478486
[INFO] 2021-01-01 17:50:36 > Step: 54600 Progress: 54.6% Elapsed: 9:37:06 temperature: no ada_p: No Discriminator_loss: 0.0148314 Generator_loss: 0.393414
[INFO] 2021-01-01 17:51:35 > Step: 54700 Progress: 54.7% Elapsed: 9:38:05 temperature: no ada_p: No Discriminator_loss: 0.00274039 Generator_loss: 0.452574
[INFO] 2021-01-01 17:52:34 > Step: 54800 Progress: 54.8% Elapsed: 9:39:04 temperature: no ada_p: No Discriminator_loss: 0.0424771 Generator_loss: 0.409581
[INFO] 2021-01-01 17:53:32 > Step: 54900 Progress: 54.9% Elapsed: 9:40:02 temperature: no ada_p: No Discriminator_loss: 0.00290735 Generator_loss: 0.485694
[INFO] 2021-01-01 17:54:31 > Step: 55000 Progress: 55.0% Elapsed: 9:41:01 temperature: no ada_p: No Discriminator_loss: 0.00127875 Generator_loss: 0.4748