SAGAN-train-2021_01_15_12_16_42.log

[INFO] 2021-01-15 12:16:42 > Run name : SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 12:16:42 > {'config_path': 'src/configs/TINY_ILSVRC2012/SAGAN.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, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-15 12:16:42 > {'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': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 3, 'attention_after_nth_dis_block': 1, 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}}
[INFO] 2021-01-15 12:16:42 > Load train datasets...
[INFO] 2021-01-15 12:16:45 > Train dataset size : 100000
[INFO] 2021-01-15 12:16:45 > Load valid datasets...
[INFO] 2021-01-15 12:16:45 > Eval dataset size : 10000
[INFO] 2021-01-15 12:16:45 > Build model...
[INFO] 2021-01-15 12:16:45 > Modules are located on models.resnet.
[INFO] 2021-01-15 12:16:49 > Number of parameters: 13387396
[INFO] 2021-01-15 12:16:49 > Generator(
  (linear0): Linear(in_features=128, out_features=16384, bias=True)
  (blocks): ModuleList(
    (0): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 1024)
          (embed1): Embedding(200, 1024)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 512)
          (embed1): Embedding(200, 512)
        )
        (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): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 512)
          (embed1): Embedding(200, 512)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 256)
          (embed1): Embedding(200, 256)
        )
        (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): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 256)
          (embed1): Embedding(200, 256)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 128)
          (embed1): Embedding(200, 128)
        )
        (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): Self_Attn(
        (conv1x1_theta): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_phi): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_g): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_attn): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
        (softmax): Softmax(dim=-1)
      )
    )
    (4): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 128)
          (embed1): Embedding(200, 128)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 64)
          (embed1): Embedding(200, 64)
        )
        (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] 2021-01-15 12:16:49 > Number of parameters: 19752642
[INFO] 2021-01-15 12:16:49 > 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))
        (activation): ReLU(inplace=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (1): ModuleList(
      (0): Self_Attn(
        (conv1x1_theta): Conv2d(64, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_phi): Conv2d(64, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_g): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_attn): Conv2d(32, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
        (softmax): Softmax(dim=-1)
      )
    )
    (2): ModuleList(
      (0): DiscBlock(
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(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))
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (3): 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))
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (4): 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))
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (5): 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))
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
  )
  (activation): ReLU(inplace=True)
  (linear1): Linear(in_features=1024, out_features=1, bias=True)
  (embedding): Embedding(200, 1024)
)
[INFO] 2021-01-15 12:16:54 > Start training....
[INFO] 2021-01-15 12:18:04 > Step:     100 Progress: 0.1% Elapsed: 0:01:10 temperature: no ada_p: No Discriminator_loss: 1.92546 Generator_loss: 0.522836 
[INFO] 2021-01-15 12:19:09 > Step:     200 Progress: 0.2% Elapsed: 0:02:15 temperature: no ada_p: No Discriminator_loss: 1.97139 Generator_loss: -0.300572 
[INFO] 2021-01-15 12:20:14 > Step:     300 Progress: 0.3% Elapsed: 0:03:20 temperature: no ada_p: No Discriminator_loss: 1.76186 Generator_loss: 0.681302 
[INFO] 2021-01-15 12:21:20 > Step:     400 Progress: 0.4% Elapsed: 0:04:26 temperature: no ada_p: No Discriminator_loss: 1.76576 Generator_loss: 0.876419 
[INFO] 2021-01-15 12:22:25 > Step:     500 Progress: 0.5% Elapsed: 0:05:31 temperature: no ada_p: No Discriminator_loss: 2.13858 Generator_loss: 0.350843 
[INFO] 2021-01-15 12:23:31 > Step:     600 Progress: 0.6% Elapsed: 0:06:36 temperature: no ada_p: No Discriminator_loss: 1.8957 Generator_loss: 0.263581 
[INFO] 2021-01-15 12:24:36 > Step:     700 Progress: 0.7% Elapsed: 0:07:41 temperature: no ada_p: No Discriminator_loss: 2.10498 Generator_loss: -0.432524 
[INFO] 2021-01-15 12:25:42 > Step:     800 Progress: 0.8% Elapsed: 0:08:47 temperature: no ada_p: No Discriminator_loss: 1.94265 Generator_loss: 0.0699869 
[INFO] 2021-01-15 12:26:47 > Step:     900 Progress: 0.9% Elapsed: 0:09:52 temperature: no ada_p: No Discriminator_loss: 1.82933 Generator_loss: -0.383844 
[INFO] 2021-01-15 12:27:52 > Step:    1000 Progress: 1.0% Elapsed: 0:10:57 temperature: no ada_p: No Discriminator_loss: 1.94506 Generator_loss: -0.402862 
[INFO] 2021-01-15 12:28:57 > Step:    1100 Progress: 1.1% Elapsed: 0:12:02 temperature: no ada_p: No Discriminator_loss: 1.98988 Generator_loss: -0.443446 
[INFO] 2021-01-15 12:30:03 > Step:    1200 Progress: 1.2% Elapsed: 0:13:08 temperature: no ada_p: No Discriminator_loss: 1.94493 Generator_loss: 1.1662 
[INFO] 2021-01-15 12:31:08 > Step:    1300 Progress: 1.3% Elapsed: 0:14:13 temperature: no ada_p: No Discriminator_loss: 1.9269 Generator_loss: 0.702544 
[INFO] 2021-01-15 12:32:13 > Step:    1400 Progress: 1.4% Elapsed: 0:15:19 temperature: no ada_p: No Discriminator_loss: 1.95532 Generator_loss: -0.26423 
[INFO] 2021-01-15 12:33:18 > Step:    1500 Progress: 1.5% Elapsed: 0:16:24 temperature: no ada_p: No Discriminator_loss: 1.85591 Generator_loss: -0.366104 
[INFO] 2021-01-15 12:34:24 > Step:    1600 Progress: 1.6% Elapsed: 0:17:30 temperature: no ada_p: No Discriminator_loss: 1.86679 Generator_loss: 0.814309 
[INFO] 2021-01-15 12:35:29 > Step:    1700 Progress: 1.7% Elapsed: 0:18:35 temperature: no ada_p: No Discriminator_loss: 1.84308 Generator_loss: 0.870742 
[INFO] 2021-01-15 12:36:34 > Step:    1800 Progress: 1.8% Elapsed: 0:19:40 temperature: no ada_p: No Discriminator_loss: 1.86805 Generator_loss: 0.302066 
[INFO] 2021-01-15 12:37:39 > Step:    1900 Progress: 1.9% Elapsed: 0:20:45 temperature: no ada_p: No Discriminator_loss: 1.94451 Generator_loss: -0.495499 
[INFO] 2021-01-15 12:38:46 > Step:    2000 Progress: 2.0% Elapsed: 0:21:51 temperature: no ada_p: No Discriminator_loss: 1.7704 Generator_loss: 0.592057 
[INFO] 2021-01-15 12:38:46 > Start Evaluation (2000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 12:38:46 > Calculating FID Score....
[INFO] 2021-01-15 12:39:14 > Calculating Inception Score....
[INFO] 2021-01-15 12:39:29 > Calculate F_beta Score....
[INFO] 2021-01-15 12:40:41 > Calculate Accuracies....
[INFO] 2021-01-15 12:40:48 > Calculate Accuracies....
[INFO] 2021-01-15 12:41:03 > F_8 score (Step: 2000, Using valid images): 0.2437470324839362
[INFO] 2021-01-15 12:41:03 > F_1/8 score (Step: 2000, Using valid images): 0.28292394425848694
[INFO] 2021-01-15 12:41:03 > FID score (Step: 2000, Using valid moments): 143.02383784050784
[INFO] 2021-01-15 12:41:03 > Inception score (Step: 2000, 10000 generated images): 3.8859918117523193
[INFO] 2021-01-15 12:41:03 > Best FID score (Step: 2000, Using valid moments): 143.02383784050784
[INFO] 2021-01-15 12:41:05 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 12:42:10 > Step:    2100 Progress: 2.1% Elapsed: 0:25:15 temperature: no ada_p: No Discriminator_loss: 1.94996 Generator_loss: -0.451332 
[INFO] 2021-01-15 12:43:15 > Step:    2200 Progress: 2.2% Elapsed: 0:26:21 temperature: no ada_p: No Discriminator_loss: 2.11001 Generator_loss: 0.0388055 
[INFO] 2021-01-15 12:44:20 > Step:    2300 Progress: 2.3% Elapsed: 0:27:26 temperature: no ada_p: No Discriminator_loss: 1.86073 Generator_loss: -0.394706 
[INFO] 2021-01-15 12:45:26 > Step:    2400 Progress: 2.4% Elapsed: 0:28:32 temperature: no ada_p: No Discriminator_loss: 1.95195 Generator_loss: -0.436909 
[INFO] 2021-01-15 12:46:31 > Step:    2500 Progress: 2.5% Elapsed: 0:29:37 temperature: no ada_p: No Discriminator_loss: 2.23524 Generator_loss: -0.321565 
[INFO] 2021-01-15 12:47:36 > Step:    2600 Progress: 2.6% Elapsed: 0:30:42 temperature: no ada_p: No Discriminator_loss: 1.89154 Generator_loss: 0.788905 
[INFO] 2021-01-15 12:48:42 > Step:    2700 Progress: 2.7% Elapsed: 0:31:47 temperature: no ada_p: No Discriminator_loss: 1.97497 Generator_loss: -0.223423 
[INFO] 2021-01-15 12:49:48 > Step:    2800 Progress: 2.8% Elapsed: 0:32:53 temperature: no ada_p: No Discriminator_loss: 1.85256 Generator_loss: 0.511238 
[INFO] 2021-01-15 12:50:53 > Step:    2900 Progress: 2.9% Elapsed: 0:33:58 temperature: no ada_p: No Discriminator_loss: 2.08461 Generator_loss: -0.619652 
[INFO] 2021-01-15 12:51:58 > Step:    3000 Progress: 3.0% Elapsed: 0:35:04 temperature: no ada_p: No Discriminator_loss: 1.97728 Generator_loss: -0.594063 
[INFO] 2021-01-15 12:53:03 > Step:    3100 Progress: 3.1% Elapsed: 0:36:09 temperature: no ada_p: No Discriminator_loss: 1.8134 Generator_loss: 0.410151 
[INFO] 2021-01-15 12:54:09 > Step:    3200 Progress: 3.2% Elapsed: 0:37:15 temperature: no ada_p: No Discriminator_loss: 1.79004 Generator_loss: 0.729814 
[INFO] 2021-01-15 12:55:14 > Step:    3300 Progress: 3.3% Elapsed: 0:38:20 temperature: no ada_p: No Discriminator_loss: 1.80929 Generator_loss: 0.717978 
[INFO] 2021-01-15 12:56:19 > Step:    3400 Progress: 3.4% Elapsed: 0:39:25 temperature: no ada_p: No Discriminator_loss: 1.61531 Generator_loss: -0.52776 
[INFO] 2021-01-15 12:57:24 > Step:    3500 Progress: 3.5% Elapsed: 0:40:30 temperature: no ada_p: No Discriminator_loss: 1.72259 Generator_loss: 1.26912 
[INFO] 2021-01-15 12:58:31 > Step:    3600 Progress: 3.6% Elapsed: 0:41:36 temperature: no ada_p: No Discriminator_loss: 2.06647 Generator_loss: 0.530655 
[INFO] 2021-01-15 12:59:36 > Step:    3700 Progress: 3.7% Elapsed: 0:42:41 temperature: no ada_p: No Discriminator_loss: 1.98256 Generator_loss: -0.405717 
[INFO] 2021-01-15 13:00:41 > Step:    3800 Progress: 3.8% Elapsed: 0:43:46 temperature: no ada_p: No Discriminator_loss: 1.80502 Generator_loss: -0.902869 
[INFO] 2021-01-15 13:01:46 > Step:    3900 Progress: 3.9% Elapsed: 0:44:51 temperature: no ada_p: No Discriminator_loss: 2.10127 Generator_loss: -0.604435 
[INFO] 2021-01-15 13:02:52 > Step:    4000 Progress: 4.0% Elapsed: 0:45:58 temperature: no ada_p: No Discriminator_loss: 1.94281 Generator_loss: -0.695396 
[INFO] 2021-01-15 13:02:52 > Start Evaluation (4000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:02:52 > Calculating FID Score....
[INFO] 2021-01-15 13:03:18 > Calculating Inception Score....
[INFO] 2021-01-15 13:03:33 > Calculate F_beta Score....
[INFO] 2021-01-15 13:04:44 > Calculate Accuracies....
[INFO] 2021-01-15 13:04:51 > Calculate Accuracies....
[INFO] 2021-01-15 13:05:06 > F_8 score (Step: 4000, Using valid images): 0.4277921398792124
[INFO] 2021-01-15 13:05:06 > F_1/8 score (Step: 4000, Using valid images): 0.6849068563253645
[INFO] 2021-01-15 13:05:06 > FID score (Step: 4000, Using valid moments): 87.06532090786766
[INFO] 2021-01-15 13:05:06 > Inception score (Step: 4000, 10000 generated images): 6.26489782333374
[INFO] 2021-01-15 13:05:06 > Best FID score (Step: 4000, Using valid moments): 87.06532090786766
[INFO] 2021-01-15 13:05:09 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:06:13 > Step:    4100 Progress: 4.1% Elapsed: 0:49:19 temperature: no ada_p: No Discriminator_loss: 1.92105 Generator_loss: -0.322579 
[INFO] 2021-01-15 13:07:19 > Step:    4200 Progress: 4.2% Elapsed: 0:50:24 temperature: no ada_p: No Discriminator_loss: 1.94683 Generator_loss: -0.303725 
[INFO] 2021-01-15 13:08:25 > Step:    4300 Progress: 4.3% Elapsed: 0:51:30 temperature: no ada_p: No Discriminator_loss: 1.76564 Generator_loss: 0.95646 
[INFO] 2021-01-15 13:09:30 > Step:    4400 Progress: 4.4% Elapsed: 0:52:35 temperature: no ada_p: No Discriminator_loss: 2.04414 Generator_loss: 0.368562 
[INFO] 2021-01-15 13:10:35 > Step:    4500 Progress: 4.5% Elapsed: 0:53:40 temperature: no ada_p: No Discriminator_loss: 1.61791 Generator_loss: -0.0529274 
[INFO] 2021-01-15 13:11:40 > Step:    4600 Progress: 4.6% Elapsed: 0:54:46 temperature: no ada_p: No Discriminator_loss: 1.6265 Generator_loss: 1.07577 
[INFO] 2021-01-15 13:12:46 > Step:    4700 Progress: 4.7% Elapsed: 0:55:52 temperature: no ada_p: No Discriminator_loss: 1.7908 Generator_loss: 0.53896 
[INFO] 2021-01-15 13:13:51 > Step:    4800 Progress: 4.8% Elapsed: 0:56:57 temperature: no ada_p: No Discriminator_loss: 1.73481 Generator_loss: 1.07169 
[INFO] 2021-01-15 13:14:56 > Step:    4900 Progress: 4.9% Elapsed: 0:58:02 temperature: no ada_p: No Discriminator_loss: 1.67077 Generator_loss: 0.978927 
[INFO] 2021-01-15 13:16:01 > Step:    5000 Progress: 5.0% Elapsed: 0:59:07 temperature: no ada_p: No Discriminator_loss: 1.75359 Generator_loss: 0.994151 
[INFO] 2021-01-15 13:17:08 > Step:    5100 Progress: 5.1% Elapsed: 1:00:13 temperature: no ada_p: No Discriminator_loss: 1.81268 Generator_loss: 0.451769 
[INFO] 2021-01-15 13:18:13 > Step:    5200 Progress: 5.2% Elapsed: 1:01:18 temperature: no ada_p: No Discriminator_loss: 1.87009 Generator_loss: 1.08722 
[INFO] 2021-01-15 13:19:18 > Step:    5300 Progress: 5.3% Elapsed: 1:02:23 temperature: no ada_p: No Discriminator_loss: 1.82982 Generator_loss: -0.0333687 
[INFO] 2021-01-15 13:20:23 > Step:    5400 Progress: 5.4% Elapsed: 1:03:29 temperature: no ada_p: No Discriminator_loss: 1.67259 Generator_loss: 0.614921 
[INFO] 2021-01-15 13:21:29 > Step:    5500 Progress: 5.5% Elapsed: 1:04:35 temperature: no ada_p: No Discriminator_loss: 1.93099 Generator_loss: -0.568259 
[INFO] 2021-01-15 13:22:34 > Step:    5600 Progress: 5.6% Elapsed: 1:05:40 temperature: no ada_p: No Discriminator_loss: 1.84032 Generator_loss: 0.101588 
[INFO] 2021-01-15 13:23:39 > Step:    5700 Progress: 5.7% Elapsed: 1:06:45 temperature: no ada_p: No Discriminator_loss: 1.64352 Generator_loss: -0.414733 
[INFO] 2021-01-15 13:24:44 > Step:    5800 Progress: 5.8% Elapsed: 1:07:50 temperature: no ada_p: No Discriminator_loss: 1.76931 Generator_loss: 0.848772 
[INFO] 2021-01-15 13:25:50 > Step:    5900 Progress: 5.9% Elapsed: 1:08:56 temperature: no ada_p: No Discriminator_loss: 1.473 Generator_loss: 0.23722 
[INFO] 2021-01-15 13:26:56 > Step:    6000 Progress: 6.0% Elapsed: 1:10:01 temperature: no ada_p: No Discriminator_loss: 1.86815 Generator_loss: 0.166241 
[INFO] 2021-01-15 13:26:56 > Start Evaluation (6000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:26:56 > Calculating FID Score....
[INFO] 2021-01-15 13:27:21 > Calculating Inception Score....
[INFO] 2021-01-15 13:27:37 > Calculate F_beta Score....
[INFO] 2021-01-15 13:28:46 > Calculate Accuracies....
[INFO] 2021-01-15 13:28:53 > Calculate Accuracies....
[INFO] 2021-01-15 13:29:09 > F_8 score (Step: 6000, Using valid images): 0.5724998283002299
[INFO] 2021-01-15 13:29:09 > F_1/8 score (Step: 6000, Using valid images): 0.8406322436120877
[INFO] 2021-01-15 13:29:09 > FID score (Step: 6000, Using valid moments): 70.84694471755847
[INFO] 2021-01-15 13:29:09 > Inception score (Step: 6000, 10000 generated images): 6.922887325286865
[INFO] 2021-01-15 13:29:09 > Best FID score (Step: 6000, Using valid moments): 70.84694471755847
[INFO] 2021-01-15 13:29:11 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:30:16 > Step:    6100 Progress: 6.1% Elapsed: 1:13:22 temperature: no ada_p: No Discriminator_loss: 1.8194 Generator_loss: 0.114301 
[INFO] 2021-01-15 13:31:21 > Step:    6200 Progress: 6.2% Elapsed: 1:14:27 temperature: no ada_p: No Discriminator_loss: 1.64281 Generator_loss: 0.546916 
[INFO] 2021-01-15 13:32:27 > Step:    6300 Progress: 6.3% Elapsed: 1:15:33 temperature: no ada_p: No Discriminator_loss: 1.88689 Generator_loss: 0.292631 
[INFO] 2021-01-15 13:33:32 > Step:    6400 Progress: 6.4% Elapsed: 1:16:38 temperature: no ada_p: No Discriminator_loss: 1.40766 Generator_loss: -0.636095 
[INFO] 2021-01-15 13:34:37 > Step:    6500 Progress: 6.5% Elapsed: 1:17:43 temperature: no ada_p: No Discriminator_loss: 1.88979 Generator_loss: 0.229598 
[INFO] 2021-01-15 13:35:43 > Step:    6600 Progress: 6.6% Elapsed: 1:18:48 temperature: no ada_p: No Discriminator_loss: 1.37592 Generator_loss: 0.895555 
[INFO] 2021-01-15 13:36:49 > Step:    6700 Progress: 6.7% Elapsed: 1:19:54 temperature: no ada_p: No Discriminator_loss: 1.80016 Generator_loss: 0.845028 
[INFO] 2021-01-15 13:37:54 > Step:    6800 Progress: 6.8% Elapsed: 1:20:59 temperature: no ada_p: No Discriminator_loss: 1.99665 Generator_loss: -0.346538 
[INFO] 2021-01-15 13:38:59 > Step:    6900 Progress: 6.9% Elapsed: 1:22:05 temperature: no ada_p: No Discriminator_loss: 1.46003 Generator_loss: 1.03018 
[INFO] 2021-01-15 13:40:04 > Step:    7000 Progress: 7.0% Elapsed: 1:23:10 temperature: no ada_p: No Discriminator_loss: 2.06121 Generator_loss: -0.609309 
[INFO] 2021-01-15 13:41:10 > Step:    7100 Progress: 7.1% Elapsed: 1:24:16 temperature: no ada_p: No Discriminator_loss: 1.46788 Generator_loss: 0.74595 
[INFO] 2021-01-15 13:42:15 > Step:    7200 Progress: 7.2% Elapsed: 1:25:21 temperature: no ada_p: No Discriminator_loss: 1.72904 Generator_loss: 1.01373 
[INFO] 2021-01-15 13:43:20 > Step:    7300 Progress: 7.3% Elapsed: 1:26:26 temperature: no ada_p: No Discriminator_loss: 1.67914 Generator_loss: 0.325807 
[INFO] 2021-01-15 13:44:26 > Step:    7400 Progress: 7.4% Elapsed: 1:27:31 temperature: no ada_p: No Discriminator_loss: 1.45971 Generator_loss: 1.44303 
[INFO] 2021-01-15 13:45:32 > Step:    7500 Progress: 7.5% Elapsed: 1:28:37 temperature: no ada_p: No Discriminator_loss: 1.82597 Generator_loss: 1.0427 
[INFO] 2021-01-15 13:46:37 > Step:    7600 Progress: 7.6% Elapsed: 1:29:43 temperature: no ada_p: No Discriminator_loss: 1.62764 Generator_loss: 1.08918 
[INFO] 2021-01-15 13:47:42 > Step:    7700 Progress: 7.7% Elapsed: 1:30:48 temperature: no ada_p: No Discriminator_loss: 1.90134 Generator_loss: -0.16355 
[INFO] 2021-01-15 13:48:47 > Step:    7800 Progress: 7.8% Elapsed: 1:31:53 temperature: no ada_p: No Discriminator_loss: 1.38394 Generator_loss: 0.886326 
[INFO] 2021-01-15 13:49:53 > Step:    7900 Progress: 7.9% Elapsed: 1:32:59 temperature: no ada_p: No Discriminator_loss: 1.3509 Generator_loss: 1.22309 
[INFO] 2021-01-15 13:50:59 > Step:    8000 Progress: 8.0% Elapsed: 1:34:04 temperature: no ada_p: No Discriminator_loss: 1.43853 Generator_loss: 1.07538 
[INFO] 2021-01-15 13:50:59 > Start Evaluation (8000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:50:59 > Calculating FID Score....
[INFO] 2021-01-15 13:51:24 > Calculating Inception Score....
[INFO] 2021-01-15 13:51:40 > Calculate F_beta Score....
[INFO] 2021-01-15 13:52:52 > Calculate Accuracies....
[INFO] 2021-01-15 13:52:59 > Calculate Accuracies....
[INFO] 2021-01-15 13:53:14 > F_8 score (Step: 8000, Using valid images): 0.5719896748500002
[INFO] 2021-01-15 13:53:14 > F_1/8 score (Step: 8000, Using valid images): 0.8388904791768016
[INFO] 2021-01-15 13:53:14 > FID score (Step: 8000, Using valid moments): 68.60729061948604
[INFO] 2021-01-15 13:53:14 > Inception score (Step: 8000, 10000 generated images): 7.256106376647949
[INFO] 2021-01-15 13:53:14 > Best FID score (Step: 8000, Using valid moments): 68.60729061948604
[INFO] 2021-01-15 13:53:17 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 13:54:21 > Step:    8100 Progress: 8.1% Elapsed: 1:37:27 temperature: no ada_p: No Discriminator_loss: 1.46812 Generator_loss: 0.0544276 
[INFO] 2021-01-15 13:55:28 > Step:    8200 Progress: 8.2% Elapsed: 1:38:33 temperature: no ada_p: No Discriminator_loss: 1.49787 Generator_loss: 0.873672 
[INFO] 2021-01-15 13:56:33 > Step:    8300 Progress: 8.3% Elapsed: 1:39:38 temperature: no ada_p: No Discriminator_loss: 1.7284 Generator_loss: -0.711663 
[INFO] 2021-01-15 13:57:38 > Step:    8400 Progress: 8.4% Elapsed: 1:40:43 temperature: no ada_p: No Discriminator_loss: 1.54622 Generator_loss: 0.794515 
[INFO] 2021-01-15 13:58:43 > Step:    8500 Progress: 8.5% Elapsed: 1:41:48 temperature: no ada_p: No Discriminator_loss: 1.93507 Generator_loss: -0.23795 
[INFO] 2021-01-15 13:59:49 > Step:    8600 Progress: 8.6% Elapsed: 1:42:55 temperature: no ada_p: No Discriminator_loss: 1.82852 Generator_loss: 0.578913 
[INFO] 2021-01-15 14:00:54 > Step:    8700 Progress: 8.7% Elapsed: 1:44:00 temperature: no ada_p: No Discriminator_loss: 1.15437 Generator_loss: 0.751234 
[INFO] 2021-01-15 14:01:59 > Step:    8800 Progress: 8.8% Elapsed: 1:45:05 temperature: no ada_p: No Discriminator_loss: 1.72835 Generator_loss: 0.295474 
[INFO] 2021-01-15 14:03:04 > Step:    8900 Progress: 8.9% Elapsed: 1:46:10 temperature: no ada_p: No Discriminator_loss: 1.59674 Generator_loss: 0.949699 
[INFO] 2021-01-15 14:04:10 > Step:    9000 Progress: 9.0% Elapsed: 1:47:16 temperature: no ada_p: No Discriminator_loss: 1.85271 Generator_loss: 0.389378 
[INFO] 2021-01-15 14:05:15 > Step:    9100 Progress: 9.1% Elapsed: 1:48:21 temperature: no ada_p: No Discriminator_loss: 1.79529 Generator_loss: 0.559497 
[INFO] 2021-01-15 14:06:21 > Step:    9200 Progress: 9.2% Elapsed: 1:49:26 temperature: no ada_p: No Discriminator_loss: 1.23356 Generator_loss: 0.642126 
[INFO] 2021-01-15 14:07:26 > Step:    9300 Progress: 9.3% Elapsed: 1:50:31 temperature: no ada_p: No Discriminator_loss: 1.35713 Generator_loss: 0.124455 
[INFO] 2021-01-15 14:08:32 > Step:    9400 Progress: 9.4% Elapsed: 1:51:37 temperature: no ada_p: No Discriminator_loss: 1.58509 Generator_loss: -0.476588 
[INFO] 2021-01-15 14:09:37 > Step:    9500 Progress: 9.5% Elapsed: 1:52:42 temperature: no ada_p: No Discriminator_loss: 1.20957 Generator_loss: 1.09206 
[INFO] 2021-01-15 14:10:42 > Step:    9600 Progress: 9.6% Elapsed: 1:53:47 temperature: no ada_p: No Discriminator_loss: 1.35983 Generator_loss: 0.1066 
[INFO] 2021-01-15 14:11:47 > Step:    9700 Progress: 9.7% Elapsed: 1:54:52 temperature: no ada_p: No Discriminator_loss: 1.29983 Generator_loss: -0.386628 
[INFO] 2021-01-15 14:12:53 > Step:    9800 Progress: 9.8% Elapsed: 1:55:59 temperature: no ada_p: No Discriminator_loss: 1.75617 Generator_loss: -0.27992 
[INFO] 2021-01-15 14:13:58 > Step:    9900 Progress: 9.9% Elapsed: 1:57:04 temperature: no ada_p: No Discriminator_loss: 1.82904 Generator_loss: 0.604288 
[INFO] 2021-01-15 14:15:03 > Step:   10000 Progress: 10.0% Elapsed: 1:58:09 temperature: no ada_p: No Discriminator_loss: 1.55825 Generator_loss: -0.525734 
[INFO] 2021-01-15 14:15:03 > Start Evaluation (10000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 14:15:03 > Calculating FID Score....
[INFO] 2021-01-15 14:15:29 > Calculating Inception Score....
[INFO] 2021-01-15 14:15:44 > Calculate F_beta Score....
[INFO] 2021-01-15 14:16:55 > Calculate Accuracies....
[INFO] 2021-01-15 14:17:03 > Calculate Accuracies....
[INFO] 2021-01-15 14:17:18 > F_8 score (Step: 10000, Using valid images): 0.6218450539631353
[INFO] 2021-01-15 14:17:18 > F_1/8 score (Step: 10000, Using valid images): 0.7969516072751999
[INFO] 2021-01-15 14:17:18 > FID score (Step: 10000, Using valid moments): 67.30705176183977
[INFO] 2021-01-15 14:17:18 > Inception score (Step: 10000, 10000 generated images): 7.327007293701172
[INFO] 2021-01-15 14:17:18 > Best FID score (Step: 10000, Using valid moments): 67.30705176183977
[INFO] 2021-01-15 14:17:20 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 14:18:25 > Step:   10100 Progress: 10.1% Elapsed: 2:01:31 temperature: no ada_p: No Discriminator_loss: 1.41247 Generator_loss: -0.110336 
[INFO] 2021-01-15 14:19:31 > Step:   10200 Progress: 10.2% Elapsed: 2:02:37 temperature: no ada_p: No Discriminator_loss: 1.85073 Generator_loss: 0.619963 
[INFO] 2021-01-15 14:20:36 > Step:   10300 Progress: 10.3% Elapsed: 2:03:42 temperature: no ada_p: No Discriminator_loss: 1.80499 Generator_loss: 1.35013 
[INFO] 2021-01-15 14:21:41 > Step:   10400 Progress: 10.4% Elapsed: 2:04:47 temperature: no ada_p: No Discriminator_loss: 1.15931 Generator_loss: 0.331708 
[INFO] 2021-01-15 14:22:46 > Step:   10500 Progress: 10.5% Elapsed: 2:05:52 temperature: no ada_p: No Discriminator_loss: 1.86814 Generator_loss: 0.246505 
[INFO] 2021-01-15 14:23:52 > Step:   10600 Progress: 10.6% Elapsed: 2:06:58 temperature: no ada_p: No Discriminator_loss: 1.38689 Generator_loss: 0.836537 
[INFO] 2021-01-15 14:24:58 > Step:   10700 Progress: 10.7% Elapsed: 2:08:03 temperature: no ada_p: No Discriminator_loss: 1.51416 Generator_loss: 1.40207 
[INFO] 2021-01-15 14:26:03 > Step:   10800 Progress: 10.8% Elapsed: 2:09:08 temperature: no ada_p: No Discriminator_loss: 1.5646 Generator_loss: -0.533249 
[INFO] 2021-01-15 14:27:08 > Step:   10900 Progress: 10.9% Elapsed: 2:10:13 temperature: no ada_p: No Discriminator_loss: 1.98896 Generator_loss: -0.415891 
[INFO] 2021-01-15 14:28:14 > Step:   11000 Progress: 11.0% Elapsed: 2:11:19 temperature: no ada_p: No Discriminator_loss: 1.41372 Generator_loss: -0.488813 
[INFO] 2021-01-15 14:29:19 > Step:   11100 Progress: 11.1% Elapsed: 2:12:24 temperature: no ada_p: No Discriminator_loss: 1.23212 Generator_loss: 0.943974 
[INFO] 2021-01-15 14:30:24 > Step:   11200 Progress: 11.2% Elapsed: 2:13:29 temperature: no ada_p: No Discriminator_loss: 1.29151 Generator_loss: 0.167466 
[INFO] 2021-01-15 14:31:29 > Step:   11300 Progress: 11.3% Elapsed: 2:14:34 temperature: no ada_p: No Discriminator_loss: 1.27503 Generator_loss: 0.43434 
[INFO] 2021-01-15 14:32:35 > Step:   11400 Progress: 11.4% Elapsed: 2:15:41 temperature: no ada_p: No Discriminator_loss: 1.08968 Generator_loss: 0.907045 
[INFO] 2021-01-15 14:33:40 > Step:   11500 Progress: 11.5% Elapsed: 2:16:46 temperature: no ada_p: No Discriminator_loss: 1.16135 Generator_loss: 0.8972 
[INFO] 2021-01-15 14:34:45 > Step:   11600 Progress: 11.6% Elapsed: 2:17:51 temperature: no ada_p: No Discriminator_loss: 1.1843 Generator_loss: 0.644182 
[INFO] 2021-01-15 14:35:50 > Step:   11700 Progress: 11.7% Elapsed: 2:18:56 temperature: no ada_p: No Discriminator_loss: 1.08107 Generator_loss: 0.982056 
[INFO] 2021-01-15 14:36:56 > Step:   11800 Progress: 11.8% Elapsed: 2:20:02 temperature: no ada_p: No Discriminator_loss: 1.75296 Generator_loss: 1.25657 
[INFO] 2021-01-15 14:38:01 > Step:   11900 Progress: 11.9% Elapsed: 2:21:07 temperature: no ada_p: No Discriminator_loss: 1.39877 Generator_loss: 0.811545 
[INFO] 2021-01-15 14:39:06 > Step:   12000 Progress: 12.0% Elapsed: 2:22:12 temperature: no ada_p: No Discriminator_loss: 1.55066 Generator_loss: -0.64815 
[INFO] 2021-01-15 14:39:06 > Start Evaluation (12000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 14:39:06 > Calculating FID Score....
[INFO] 2021-01-15 14:39:32 > Calculating Inception Score....
[INFO] 2021-01-15 14:39:48 > Calculate F_beta Score....
[INFO] 2021-01-15 14:40:58 > Calculate Accuracies....
[INFO] 2021-01-15 14:41:05 > Calculate Accuracies....
[INFO] 2021-01-15 14:41:20 > F_8 score (Step: 12000, Using valid images): 0.6197657696831467
[INFO] 2021-01-15 14:41:20 > F_1/8 score (Step: 12000, Using valid images): 0.8799333970857912
[INFO] 2021-01-15 14:41:20 > FID score (Step: 12000, Using valid moments): 60.90760742244288
[INFO] 2021-01-15 14:41:20 > Inception score (Step: 12000, 10000 generated images): 7.688660621643066
[INFO] 2021-01-15 14:41:20 > Best FID score (Step: 12000, Using valid moments): 60.90760742244288
[INFO] 2021-01-15 14:41:23 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 14:42:28 > Step:   12100 Progress: 12.1% Elapsed: 2:25:34 temperature: no ada_p: No Discriminator_loss: 1.48051 Generator_loss: 1.26858 
[INFO] 2021-01-15 14:43:33 > Step:   12200 Progress: 12.2% Elapsed: 2:26:39 temperature: no ada_p: No Discriminator_loss: 1.75377 Generator_loss: 0.247115 
[INFO] 2021-01-15 14:44:38 > Step:   12300 Progress: 12.3% Elapsed: 2:27:44 temperature: no ada_p: No Discriminator_loss: 1.24759 Generator_loss: 1.30438 
[INFO] 2021-01-15 14:45:43 > Step:   12400 Progress: 12.4% Elapsed: 2:28:49 temperature: no ada_p: No Discriminator_loss: 1.02556 Generator_loss: 1.29786 
[INFO] 2021-01-15 14:46:50 > Step:   12500 Progress: 12.5% Elapsed: 2:29:55 temperature: no ada_p: No Discriminator_loss: 1.17314 Generator_loss: 0.319052 
[INFO] 2021-01-15 14:47:55 > Step:   12600 Progress: 12.6% Elapsed: 2:31:00 temperature: no ada_p: No Discriminator_loss: 1.27797 Generator_loss: 0.297321 
[INFO] 2021-01-15 14:49:00 > Step:   12700 Progress: 12.7% Elapsed: 2:32:05 temperature: no ada_p: No Discriminator_loss: 1.47526 Generator_loss: 0.997625 
[INFO] 2021-01-15 14:50:05 > Step:   12800 Progress: 12.8% Elapsed: 2:33:10 temperature: no ada_p: No Discriminator_loss: 1.4854 Generator_loss: 1.18267 
[INFO] 2021-01-15 14:51:11 > Step:   12900 Progress: 12.9% Elapsed: 2:34:17 temperature: no ada_p: No Discriminator_loss: 1.87298 Generator_loss: 0.292867 
[INFO] 2021-01-15 14:52:16 > Step:   13000 Progress: 13.0% Elapsed: 2:35:22 temperature: no ada_p: No Discriminator_loss: 1.45621 Generator_loss: 1.42433 
[INFO] 2021-01-15 14:53:21 > Step:   13100 Progress: 13.1% Elapsed: 2:36:27 temperature: no ada_p: No Discriminator_loss: 1.14715 Generator_loss: 0.299289 
[INFO] 2021-01-15 14:54:26 > Step:   13200 Progress: 13.2% Elapsed: 2:37:32 temperature: no ada_p: No Discriminator_loss: 1.30533 Generator_loss: -0.544447 
[INFO] 2021-01-15 14:55:32 > Step:   13300 Progress: 13.3% Elapsed: 2:38:38 temperature: no ada_p: No Discriminator_loss: 1.06035 Generator_loss: -0.518018 
[INFO] 2021-01-15 14:56:37 > Step:   13400 Progress: 13.4% Elapsed: 2:39:43 temperature: no ada_p: No Discriminator_loss: 1.23841 Generator_loss: 1.37677 
[INFO] 2021-01-15 14:57:42 > Step:   13500 Progress: 13.5% Elapsed: 2:40:48 temperature: no ada_p: No Discriminator_loss: 1.03328 Generator_loss: 0.742832 
[INFO] 2021-01-15 14:58:47 > Step:   13600 Progress: 13.6% Elapsed: 2:41:53 temperature: no ada_p: No Discriminator_loss: 1.31122 Generator_loss: -0.403946 
[INFO] 2021-01-15 14:59:53 > Step:   13700 Progress: 13.7% Elapsed: 2:42:59 temperature: no ada_p: No Discriminator_loss: 1.58708 Generator_loss: 1.46795 
[INFO] 2021-01-15 15:00:58 > Step:   13800 Progress: 13.8% Elapsed: 2:44:04 temperature: no ada_p: No Discriminator_loss: 0.970131 Generator_loss: 1.55329 
[INFO] 2021-01-15 15:02:03 > Step:   13900 Progress: 13.9% Elapsed: 2:45:09 temperature: no ada_p: No Discriminator_loss: 1.17381 Generator_loss: 1.47246 
[INFO] 2021-01-15 15:03:09 > Step:   14000 Progress: 14.0% Elapsed: 2:46:14 temperature: no ada_p: No Discriminator_loss: 1.37769 Generator_loss: -0.344777 
[INFO] 2021-01-15 15:03:09 > Start Evaluation (14000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:03:09 > Calculating FID Score....
[INFO] 2021-01-15 15:03:34 > Calculating Inception Score....
[INFO] 2021-01-15 15:03:50 > Calculate F_beta Score....
[INFO] 2021-01-15 15:05:00 > Calculate Accuracies....
[INFO] 2021-01-15 15:05:07 > Calculate Accuracies....
[INFO] 2021-01-15 15:05:22 > F_8 score (Step: 14000, Using valid images): 0.6363370700319205
[INFO] 2021-01-15 15:05:22 > F_1/8 score (Step: 14000, Using valid images): 0.8489272959811078
[INFO] 2021-01-15 15:05:22 > FID score (Step: 14000, Using valid moments): 62.14678278088223
[INFO] 2021-01-15 15:05:22 > Inception score (Step: 14000, 10000 generated images): 7.500597953796387
[INFO] 2021-01-15 15:05:22 > Best FID score (Step: 12000, Using valid moments): 60.90760742244288
[INFO] 2021-01-15 15:05:24 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:06:29 > Step:   14100 Progress: 14.1% Elapsed: 2:49:35 temperature: no ada_p: No Discriminator_loss: 1.26317 Generator_loss: 0.346803 
[INFO] 2021-01-15 15:07:35 > Step:   14200 Progress: 14.2% Elapsed: 2:50:40 temperature: no ada_p: No Discriminator_loss: 1.08208 Generator_loss: -0.45035 
[INFO] 2021-01-15 15:08:40 > Step:   14300 Progress: 14.3% Elapsed: 2:51:45 temperature: no ada_p: No Discriminator_loss: 1.28543 Generator_loss: 1.33527 
[INFO] 2021-01-15 15:09:45 > Step:   14400 Progress: 14.4% Elapsed: 2:52:50 temperature: no ada_p: No Discriminator_loss: 1.0832 Generator_loss: 0.476081 
[INFO] 2021-01-15 15:10:51 > Step:   14500 Progress: 14.5% Elapsed: 2:53:56 temperature: no ada_p: No Discriminator_loss: 1.25139 Generator_loss: -0.526177 
[INFO] 2021-01-15 15:11:56 > Step:   14600 Progress: 14.6% Elapsed: 2:55:01 temperature: no ada_p: No Discriminator_loss: 1.10741 Generator_loss: -0.264137 
[INFO] 2021-01-15 15:13:01 > Step:   14700 Progress: 14.7% Elapsed: 2:56:07 temperature: no ada_p: No Discriminator_loss: 1.1644 Generator_loss: 0.515076 
[INFO] 2021-01-15 15:14:06 > Step:   14800 Progress: 14.8% Elapsed: 2:57:12 temperature: no ada_p: No Discriminator_loss: 1.61896 Generator_loss: 1.25097 
[INFO] 2021-01-15 15:15:12 > Step:   14900 Progress: 14.9% Elapsed: 2:58:18 temperature: no ada_p: No Discriminator_loss: 1.43432 Generator_loss: 1.22761 
[INFO] 2021-01-15 15:16:17 > Step:   15000 Progress: 15.0% Elapsed: 2:59:23 temperature: no ada_p: No Discriminator_loss: 1.18014 Generator_loss: 0.342139 
[INFO] 2021-01-15 15:17:22 > Step:   15100 Progress: 15.1% Elapsed: 3:00:28 temperature: no ada_p: No Discriminator_loss: 1.0904 Generator_loss: -0.281279 
[INFO] 2021-01-15 15:18:27 > Step:   15200 Progress: 15.2% Elapsed: 3:01:33 temperature: no ada_p: No Discriminator_loss: 1.36208 Generator_loss: 1.56492 
[INFO] 2021-01-15 15:19:33 > Step:   15300 Progress: 15.3% Elapsed: 3:02:39 temperature: no ada_p: No Discriminator_loss: 1.2922 Generator_loss: -0.443692 
[INFO] 2021-01-15 15:20:39 > Step:   15400 Progress: 15.4% Elapsed: 3:03:44 temperature: no ada_p: No Discriminator_loss: 0.771337 Generator_loss: 1.67252 
[INFO] 2021-01-15 15:21:44 > Step:   15500 Progress: 15.5% Elapsed: 3:04:49 temperature: no ada_p: No Discriminator_loss: 0.802161 Generator_loss: 1.02897 
[INFO] 2021-01-15 15:22:49 > Step:   15600 Progress: 15.6% Elapsed: 3:05:54 temperature: no ada_p: No Discriminator_loss: 1.0819 Generator_loss: -0.220337 
[INFO] 2021-01-15 15:23:55 > Step:   15700 Progress: 15.7% Elapsed: 3:07:01 temperature: no ada_p: No Discriminator_loss: 1.03407 Generator_loss: 0.205228 
[INFO] 2021-01-15 15:25:00 > Step:   15800 Progress: 15.8% Elapsed: 3:08:06 temperature: no ada_p: No Discriminator_loss: 1.07218 Generator_loss: 0.576901 
[INFO] 2021-01-15 15:26:05 > Step:   15900 Progress: 15.9% Elapsed: 3:09:11 temperature: no ada_p: No Discriminator_loss: 1.12941 Generator_loss: -0.546775 
[INFO] 2021-01-15 15:27:11 > Step:   16000 Progress: 16.0% Elapsed: 3:10:17 temperature: no ada_p: No Discriminator_loss: 1.41907 Generator_loss: -0.155022 
[INFO] 2021-01-15 15:27:11 > Start Evaluation (16000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:27:11 > Calculating FID Score....
[INFO] 2021-01-15 15:27:37 > Calculating Inception Score....
[INFO] 2021-01-15 15:27:53 > Calculate F_beta Score....
[INFO] 2021-01-15 15:29:03 > Calculate Accuracies....
[INFO] 2021-01-15 15:29:11 > Calculate Accuracies....
[INFO] 2021-01-15 15:29:26 > F_8 score (Step: 16000, Using valid images): 0.6321311487401898
[INFO] 2021-01-15 15:29:26 > F_1/8 score (Step: 16000, Using valid images): 0.8938323528728557
[INFO] 2021-01-15 15:29:26 > FID score (Step: 16000, Using valid moments): 57.06698516650562
[INFO] 2021-01-15 15:29:26 > Inception score (Step: 16000, 10000 generated images): 8.193946838378906
[INFO] 2021-01-15 15:29:26 > Best FID score (Step: 16000, Using valid moments): 57.06698516650562
[INFO] 2021-01-15 15:29:28 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:30:33 > Step:   16100 Progress: 16.1% Elapsed: 3:13:39 temperature: no ada_p: No Discriminator_loss: 1.09017 Generator_loss: -0.221427 
[INFO] 2021-01-15 15:31:38 > Step:   16200 Progress: 16.2% Elapsed: 3:14:44 temperature: no ada_p: No Discriminator_loss: 0.980791 Generator_loss: 0.0608543 
[INFO] 2021-01-15 15:32:43 > Step:   16300 Progress: 16.3% Elapsed: 3:15:49 temperature: no ada_p: No Discriminator_loss: 1.08866 Generator_loss: 0.137126 
[INFO] 2021-01-15 15:33:50 > Step:   16400 Progress: 16.4% Elapsed: 3:16:55 temperature: no ada_p: No Discriminator_loss: 1.23399 Generator_loss: 0.267461 
[INFO] 2021-01-15 15:34:55 > Step:   16500 Progress: 16.5% Elapsed: 3:18:00 temperature: no ada_p: No Discriminator_loss: 0.96788 Generator_loss: -0.117175 
[INFO] 2021-01-15 15:36:00 > Step:   16600 Progress: 16.6% Elapsed: 3:19:05 temperature: no ada_p: No Discriminator_loss: 0.739377 Generator_loss: 0.0245615 
[INFO] 2021-01-15 15:37:05 > Step:   16700 Progress: 16.7% Elapsed: 3:20:10 temperature: no ada_p: No Discriminator_loss: 1.20531 Generator_loss: 1.34816 
[INFO] 2021-01-15 15:38:11 > Step:   16800 Progress: 16.8% Elapsed: 3:21:16 temperature: no ada_p: No Discriminator_loss: 0.977606 Generator_loss: 1.37651 
[INFO] 2021-01-15 15:39:16 > Step:   16900 Progress: 16.9% Elapsed: 3:22:21 temperature: no ada_p: No Discriminator_loss: 1.37062 Generator_loss: 1.56077 
[INFO] 2021-01-15 15:40:21 > Step:   17000 Progress: 17.0% Elapsed: 3:23:27 temperature: no ada_p: No Discriminator_loss: 1.572 Generator_loss: 1.30823 
[INFO] 2021-01-15 15:41:26 > Step:   17100 Progress: 17.1% Elapsed: 3:24:32 temperature: no ada_p: No Discriminator_loss: 1.00368 Generator_loss: 1.94043 
[INFO] 2021-01-15 15:42:32 > Step:   17200 Progress: 17.2% Elapsed: 3:25:38 temperature: no ada_p: No Discriminator_loss: 1.15832 Generator_loss: 1.51699 
[INFO] 2021-01-15 15:43:37 > Step:   17300 Progress: 17.3% Elapsed: 3:26:43 temperature: no ada_p: No Discriminator_loss: 0.849747 Generator_loss: 1.31538 
[INFO] 2021-01-15 15:44:42 > Step:   17400 Progress: 17.4% Elapsed: 3:27:48 temperature: no ada_p: No Discriminator_loss: 1.31268 Generator_loss: 1.32535 
[INFO] 2021-01-15 15:45:47 > Step:   17500 Progress: 17.5% Elapsed: 3:28:53 temperature: no ada_p: No Discriminator_loss: 1.02569 Generator_loss: 1.51355 
[INFO] 2021-01-15 15:46:53 > Step:   17600 Progress: 17.6% Elapsed: 3:29:59 temperature: no ada_p: No Discriminator_loss: 1.071 Generator_loss: 1.61662 
[INFO] 2021-01-15 15:47:59 > Step:   17700 Progress: 17.7% Elapsed: 3:31:04 temperature: no ada_p: No Discriminator_loss: 1.13327 Generator_loss: 1.42676 
[INFO] 2021-01-15 15:49:04 > Step:   17800 Progress: 17.8% Elapsed: 3:32:09 temperature: no ada_p: No Discriminator_loss: 0.872929 Generator_loss: 1.17467 
[INFO] 2021-01-15 15:50:09 > Step:   17900 Progress: 17.9% Elapsed: 3:33:14 temperature: no ada_p: No Discriminator_loss: 1.16667 Generator_loss: 0.0113499 
[INFO] 2021-01-15 15:51:15 > Step:   18000 Progress: 18.0% Elapsed: 3:34:20 temperature: no ada_p: No Discriminator_loss: 1.15531 Generator_loss: 0.220621 
[INFO] 2021-01-15 15:51:15 > Start Evaluation (18000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:51:15 > Calculating FID Score....
[INFO] 2021-01-15 15:51:40 > Calculating Inception Score....
[INFO] 2021-01-15 15:51:56 > Calculate F_beta Score....
[INFO] 2021-01-15 15:53:06 > Calculate Accuracies....
[INFO] 2021-01-15 15:53:13 > Calculate Accuracies....
[INFO] 2021-01-15 15:53:28 > F_8 score (Step: 18000, Using valid images): 0.6738885874263277
[INFO] 2021-01-15 15:53:28 > F_1/8 score (Step: 18000, Using valid images): 0.8170415692041053
[INFO] 2021-01-15 15:53:28 > FID score (Step: 18000, Using valid moments): 61.193935716905
[INFO] 2021-01-15 15:53:28 > Inception score (Step: 18000, 10000 generated images): 7.879231929779053
[INFO] 2021-01-15 15:53:28 > Best FID score (Step: 16000, Using valid moments): 57.06698516650562
[INFO] 2021-01-15 15:53:30 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 15:54:35 > Step:   18100 Progress: 18.1% Elapsed: 3:37:40 temperature: no ada_p: No Discriminator_loss: 1.11322 Generator_loss: -0.148233 
[INFO] 2021-01-15 15:55:40 > Step:   18200 Progress: 18.2% Elapsed: 3:38:45 temperature: no ada_p: No Discriminator_loss: 1.1645 Generator_loss: 0.282102 
[INFO] 2021-01-15 15:56:45 > Step:   18300 Progress: 18.3% Elapsed: 3:39:50 temperature: no ada_p: No Discriminator_loss: 0.895321 Generator_loss: 0.633245 
[INFO] 2021-01-15 15:57:51 > Step:   18400 Progress: 18.4% Elapsed: 3:40:56 temperature: no ada_p: No Discriminator_loss: 0.931947 Generator_loss: 0.474643 
[INFO] 2021-01-15 15:58:56 > Step:   18500 Progress: 18.5% Elapsed: 3:42:01 temperature: no ada_p: No Discriminator_loss: 1.01801 Generator_loss: 0.563214 
[INFO] 2021-01-15 16:00:01 > Step:   18600 Progress: 18.6% Elapsed: 3:43:06 temperature: no ada_p: No Discriminator_loss: 1.15531 Generator_loss: 0.248553 
[INFO] 2021-01-15 16:01:06 > Step:   18700 Progress: 18.7% Elapsed: 3:44:11 temperature: no ada_p: No Discriminator_loss: 0.855474 Generator_loss: 1.90964 
[INFO] 2021-01-15 16:02:12 > Step:   18800 Progress: 18.8% Elapsed: 3:45:18 temperature: no ada_p: No Discriminator_loss: 1.342 Generator_loss: 1.15721 
[INFO] 2021-01-15 16:03:17 > Step:   18900 Progress: 18.9% Elapsed: 3:46:23 temperature: no ada_p: No Discriminator_loss: 1.47113 Generator_loss: 1.36215 
[INFO] 2021-01-15 16:04:22 > Step:   19000 Progress: 19.0% Elapsed: 3:47:28 temperature: no ada_p: No Discriminator_loss: 0.944329 Generator_loss: 0.291616 
[INFO] 2021-01-15 16:05:27 > Step:   19100 Progress: 19.1% Elapsed: 3:48:33 temperature: no ada_p: No Discriminator_loss: 0.732691 Generator_loss: 0.356429 
[INFO] 2021-01-15 16:06:34 > Step:   19200 Progress: 19.2% Elapsed: 3:49:39 temperature: no ada_p: No Discriminator_loss: 0.968489 Generator_loss: -0.00568136 
[INFO] 2021-01-15 16:07:39 > Step:   19300 Progress: 19.3% Elapsed: 3:50:44 temperature: no ada_p: No Discriminator_loss: 1.01643 Generator_loss: -0.0196993 
[INFO] 2021-01-15 16:08:44 > Step:   19400 Progress: 19.4% Elapsed: 3:51:49 temperature: no ada_p: No Discriminator_loss: 1.13501 Generator_loss: 1.54074 
[INFO] 2021-01-15 16:09:49 > Step:   19500 Progress: 19.5% Elapsed: 3:52:54 temperature: no ada_p: No Discriminator_loss: 0.88743 Generator_loss: 1.59282 
[INFO] 2021-01-15 16:10:55 > Step:   19600 Progress: 19.6% Elapsed: 3:54:00 temperature: no ada_p: No Discriminator_loss: 0.905587 Generator_loss: 1.43168 
[INFO] 2021-01-15 16:12:00 > Step:   19700 Progress: 19.7% Elapsed: 3:55:05 temperature: no ada_p: No Discriminator_loss: 0.883352 Generator_loss: 1.61007 
[INFO] 2021-01-15 16:13:05 > Step:   19800 Progress: 19.8% Elapsed: 3:56:10 temperature: no ada_p: No Discriminator_loss: 1.24222 Generator_loss: 1.57934 
[INFO] 2021-01-15 16:14:11 > Step:   19900 Progress: 19.9% Elapsed: 3:57:17 temperature: no ada_p: No Discriminator_loss: 1.00438 Generator_loss: 1.35583 
[INFO] 2021-01-15 16:15:16 > Step:   20000 Progress: 20.0% Elapsed: 3:58:22 temperature: no ada_p: No Discriminator_loss: 0.898275 Generator_loss: 1.57347 
[INFO] 2021-01-15 16:15:16 > Start Evaluation (20000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 16:15:16 > Calculating FID Score....
[INFO] 2021-01-15 16:15:42 > Calculating Inception Score....
[INFO] 2021-01-15 16:15:58 > Calculate F_beta Score....
[INFO] 2021-01-15 16:17:08 > Calculate Accuracies....
[INFO] 2021-01-15 16:17:15 > Calculate Accuracies....
[INFO] 2021-01-15 16:17:30 > F_8 score (Step: 20000, Using valid images): 0.6519718203472805
[INFO] 2021-01-15 16:17:30 > F_1/8 score (Step: 20000, Using valid images): 0.8877647827738819
[INFO] 2021-01-15 16:17:30 > FID score (Step: 20000, Using valid moments): 57.48560523217475
[INFO] 2021-01-15 16:17:30 > Inception score (Step: 20000, 10000 generated images): 7.976629257202148
[INFO] 2021-01-15 16:17:30 > Best FID score (Step: 16000, Using valid moments): 57.06698516650562
[INFO] 2021-01-15 16:17:32 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 16:18:36 > Step:   20100 Progress: 20.1% Elapsed: 4:01:42 temperature: no ada_p: No Discriminator_loss: 0.989113 Generator_loss: 1.81001 
[INFO] 2021-01-15 16:19:42 > Step:   20200 Progress: 20.2% Elapsed: 4:02:47 temperature: no ada_p: No Discriminator_loss: 1.19696 Generator_loss: 1.71582 
[INFO] 2021-01-15 16:20:48 > Step:   20300 Progress: 20.3% Elapsed: 4:03:53 temperature: no ada_p: No Discriminator_loss: 0.971477 Generator_loss: 1.25163 
[INFO] 2021-01-15 16:21:53 > Step:   20400 Progress: 20.4% Elapsed: 4:04:58 temperature: no ada_p: No Discriminator_loss: 1.03054 Generator_loss: 1.52241 
[INFO] 2021-01-15 16:22:58 > Step:   20500 Progress: 20.5% Elapsed: 4:06:03 temperature: no ada_p: No Discriminator_loss: 0.98581 Generator_loss: 2.02943 
[INFO] 2021-01-15 16:24:03 > Step:   20600 Progress: 20.6% Elapsed: 4:07:08 temperature: no ada_p: No Discriminator_loss: 1.25354 Generator_loss: 1.39194 
[INFO] 2021-01-15 16:25:09 > Step:   20700 Progress: 20.7% Elapsed: 4:08:15 temperature: no ada_p: No Discriminator_loss: 1.15031 Generator_loss: 1.34402 
[INFO] 2021-01-15 16:26:14 > Step:   20800 Progress: 20.8% Elapsed: 4:09:20 temperature: no ada_p: No Discriminator_loss: 0.968269 Generator_loss: 1.39539 
[INFO] 2021-01-15 16:27:19 > Step:   20900 Progress: 20.9% Elapsed: 4:10:25 temperature: no ada_p: No Discriminator_loss: 0.897601 Generator_loss: 1.45834 
[INFO] 2021-01-15 16:28:24 > Step:   21000 Progress: 21.0% Elapsed: 4:11:30 temperature: no ada_p: No Discriminator_loss: 1.07801 Generator_loss: 1.1586 
[INFO] 2021-01-15 16:29:30 > Step:   21100 Progress: 21.1% Elapsed: 4:12:36 temperature: no ada_p: No Discriminator_loss: 1.29664 Generator_loss: 1.60735 
[INFO] 2021-01-15 16:30:35 > Step:   21200 Progress: 21.2% Elapsed: 4:13:41 temperature: no ada_p: No Discriminator_loss: 1.26403 Generator_loss: 1.25186 
[INFO] 2021-01-15 16:31:40 > Step:   21300 Progress: 21.3% Elapsed: 4:14:46 temperature: no ada_p: No Discriminator_loss: 1.06426 Generator_loss: 1.49039 
[INFO] 2021-01-15 16:32:45 > Step:   21400 Progress: 21.4% Elapsed: 4:15:51 temperature: no ada_p: No Discriminator_loss: 1.04871 Generator_loss: 1.71417 
[INFO] 2021-01-15 16:33:52 > Step:   21500 Progress: 21.5% Elapsed: 4:16:57 temperature: no ada_p: No Discriminator_loss: 0.9815 Generator_loss: 1.39259 
[INFO] 2021-01-15 16:34:57 > Step:   21600 Progress: 21.6% Elapsed: 4:18:02 temperature: no ada_p: No Discriminator_loss: 0.865341 Generator_loss: 1.6709 
[INFO] 2021-01-15 16:36:02 > Step:   21700 Progress: 21.7% Elapsed: 4:19:07 temperature: no ada_p: No Discriminator_loss: 1.13891 Generator_loss: 1.53546 
[INFO] 2021-01-15 16:37:07 > Step:   21800 Progress: 21.8% Elapsed: 4:20:12 temperature: no ada_p: No Discriminator_loss: 1.03004 Generator_loss: 1.83887 
[INFO] 2021-01-15 16:38:13 > Step:   21900 Progress: 21.9% Elapsed: 4:21:18 temperature: no ada_p: No Discriminator_loss: 0.941241 Generator_loss: 1.3751 
[INFO] 2021-01-15 16:39:18 > Step:   22000 Progress: 22.0% Elapsed: 4:22:24 temperature: no ada_p: No Discriminator_loss: 0.986132 Generator_loss: 1.28753 
[INFO] 2021-01-15 16:39:18 > Start Evaluation (22000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 16:39:18 > Calculating FID Score....
[INFO] 2021-01-15 16:39:44 > Calculating Inception Score....
[INFO] 2021-01-15 16:39:59 > Calculate F_beta Score....
[INFO] 2021-01-15 16:41:12 > Calculate Accuracies....
[INFO] 2021-01-15 16:41:19 > Calculate Accuracies....
[INFO] 2021-01-15 16:41:34 > F_8 score (Step: 22000, Using valid images): 0.6882994684943915
[INFO] 2021-01-15 16:41:34 > F_1/8 score (Step: 22000, Using valid images): 0.8869788489914648
[INFO] 2021-01-15 16:41:34 > FID score (Step: 22000, Using valid moments): 53.23948398961454
[INFO] 2021-01-15 16:41:34 > Inception score (Step: 22000, 10000 generated images): 8.470479965209961
[INFO] 2021-01-15 16:41:34 > Best FID score (Step: 22000, Using valid moments): 53.23948398961454
[INFO] 2021-01-15 16:41:37 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 16:42:42 > Step:   22100 Progress: 22.1% Elapsed: 4:25:47 temperature: no ada_p: No Discriminator_loss: 0.83493 Generator_loss: 1.97666 
[INFO] 2021-01-15 16:43:47 > Step:   22200 Progress: 22.2% Elapsed: 4:26:52 temperature: no ada_p: No Discriminator_loss: 0.771585 Generator_loss: 1.43043 
[INFO] 2021-01-15 16:44:53 > Step:   22300 Progress: 22.3% Elapsed: 4:27:58 temperature: no ada_p: No Discriminator_loss: 0.837652 Generator_loss: 1.50555 
[INFO] 2021-01-15 16:45:58 > Step:   22400 Progress: 22.4% Elapsed: 4:29:03 temperature: no ada_p: No Discriminator_loss: 0.973879 Generator_loss: 1.49085 
[INFO] 2021-01-15 16:47:03 > Step:   22500 Progress: 22.5% Elapsed: 4:30:08 temperature: no ada_p: No Discriminator_loss: 0.797694 Generator_loss: 1.50064 
[INFO] 2021-01-15 16:48:08 > Step:   22600 Progress: 22.6% Elapsed: 4:31:14 temperature: no ada_p: No Discriminator_loss: 0.718099 Generator_loss: 1.81564 
[INFO] 2021-01-15 16:49:14 > Step:   22700 Progress: 22.7% Elapsed: 4:32:20 temperature: no ada_p: No Discriminator_loss: 0.973663 Generator_loss: 1.53733 
[INFO] 2021-01-15 16:50:19 > Step:   22800 Progress: 22.8% Elapsed: 4:33:25 temperature: no ada_p: No Discriminator_loss: 0.75902 Generator_loss: 1.52248 
[INFO] 2021-01-15 16:51:24 > Step:   22900 Progress: 22.9% Elapsed: 4:34:30 temperature: no ada_p: No Discriminator_loss: 0.929307 Generator_loss: 0.368216 
[INFO] 2021-01-15 16:52:29 > Step:   23000 Progress: 23.0% Elapsed: 4:35:35 temperature: no ada_p: No Discriminator_loss: 0.884557 Generator_loss: 0.615984 
[INFO] 2021-01-15 16:53:35 > Step:   23100 Progress: 23.1% Elapsed: 4:36:41 temperature: no ada_p: No Discriminator_loss: 0.83807 Generator_loss: 0.159755 
[INFO] 2021-01-15 16:54:40 > Step:   23200 Progress: 23.2% Elapsed: 4:37:46 temperature: no ada_p: No Discriminator_loss: 0.899852 Generator_loss: 0.283995 
[INFO] 2021-01-15 16:55:45 > Step:   23300 Progress: 23.3% Elapsed: 4:38:51 temperature: no ada_p: No Discriminator_loss: 0.842159 Generator_loss: 0.289877 
[INFO] 2021-01-15 16:56:51 > Step:   23400 Progress: 23.4% Elapsed: 4:39:56 temperature: no ada_p: No Discriminator_loss: 1.21054 Generator_loss: 0.0876395 
[INFO] 2021-01-15 16:57:57 > Step:   23500 Progress: 23.5% Elapsed: 4:41:02 temperature: no ada_p: No Discriminator_loss: 0.951838 Generator_loss: 0.401335 
[INFO] 2021-01-15 16:59:02 > Step:   23600 Progress: 23.6% Elapsed: 4:42:08 temperature: no ada_p: No Discriminator_loss: 1.0267 Generator_loss: 0.244529 
[INFO] 2021-01-15 17:00:07 > Step:   23700 Progress: 23.7% Elapsed: 4:43:13 temperature: no ada_p: No Discriminator_loss: 0.825609 Generator_loss: 0.736858 
[INFO] 2021-01-15 17:01:13 > Step:   23800 Progress: 23.8% Elapsed: 4:44:19 temperature: no ada_p: No Discriminator_loss: 1.13019 Generator_loss: 0.259462 
[INFO] 2021-01-15 17:02:18 > Step:   23900 Progress: 23.9% Elapsed: 4:45:24 temperature: no ada_p: No Discriminator_loss: 0.848423 Generator_loss: 0.410872 
[INFO] 2021-01-15 17:03:23 > Step:   24000 Progress: 24.0% Elapsed: 4:46:29 temperature: no ada_p: No Discriminator_loss: 0.89641 Generator_loss: 0.316446 
[INFO] 2021-01-15 17:03:23 > Start Evaluation (24000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:03:23 > Calculating FID Score....
[INFO] 2021-01-15 17:03:49 > Calculating Inception Score....
[INFO] 2021-01-15 17:04:05 > Calculate F_beta Score....
[INFO] 2021-01-15 17:05:15 > Calculate Accuracies....
[INFO] 2021-01-15 17:05:23 > Calculate Accuracies....
[INFO] 2021-01-15 17:05:38 > F_8 score (Step: 24000, Using valid images): 0.6917218538440444
[INFO] 2021-01-15 17:05:38 > F_1/8 score (Step: 24000, Using valid images): 0.8219225232886802
[INFO] 2021-01-15 17:05:38 > FID score (Step: 24000, Using valid moments): 54.4365890085661
[INFO] 2021-01-15 17:05:38 > Inception score (Step: 24000, 10000 generated images): 8.579439163208008
[INFO] 2021-01-15 17:05:38 > Best FID score (Step: 22000, Using valid moments): 53.23948398961454
[INFO] 2021-01-15 17:05:39 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:06:44 > Step:   24100 Progress: 24.1% Elapsed: 4:49:49 temperature: no ada_p: No Discriminator_loss: 0.88379 Generator_loss: 0.53345 
[INFO] 2021-01-15 17:07:50 > Step:   24200 Progress: 24.2% Elapsed: 4:50:56 temperature: no ada_p: No Discriminator_loss: 0.76314 Generator_loss: 0.388506 
[INFO] 2021-01-15 17:08:55 > Step:   24300 Progress: 24.3% Elapsed: 4:52:01 temperature: no ada_p: No Discriminator_loss: 1.1293 Generator_loss: 0.405889 
[INFO] 2021-01-15 17:10:00 > Step:   24400 Progress: 24.4% Elapsed: 4:53:06 temperature: no ada_p: No Discriminator_loss: 0.916472 Generator_loss: 0.637175 
[INFO] 2021-01-15 17:11:05 > Step:   24500 Progress: 24.5% Elapsed: 4:54:11 temperature: no ada_p: No Discriminator_loss: 0.701363 Generator_loss: 0.319642 
[INFO] 2021-01-15 17:12:11 > Step:   24600 Progress: 24.6% Elapsed: 4:55:17 temperature: no ada_p: No Discriminator_loss: 0.888703 Generator_loss: 0.436225 
[INFO] 2021-01-15 17:13:16 > Step:   24700 Progress: 24.7% Elapsed: 4:56:22 temperature: no ada_p: No Discriminator_loss: 1.14107 Generator_loss: 0.42054 
[INFO] 2021-01-15 17:14:21 > Step:   24800 Progress: 24.8% Elapsed: 4:57:27 temperature: no ada_p: No Discriminator_loss: 0.843981 Generator_loss: 0.327978 
[INFO] 2021-01-15 17:15:26 > Step:   24900 Progress: 24.9% Elapsed: 4:58:32 temperature: no ada_p: No Discriminator_loss: 1.09325 Generator_loss: 0.228227 
[INFO] 2021-01-15 17:16:32 > Step:   25000 Progress: 25.0% Elapsed: 4:59:38 temperature: no ada_p: No Discriminator_loss: 1.07148 Generator_loss: 0.370899 
[INFO] 2021-01-15 17:17:37 > Step:   25100 Progress: 25.1% Elapsed: 5:00:43 temperature: no ada_p: No Discriminator_loss: 0.693633 Generator_loss: 0.484569 
[INFO] 2021-01-15 17:18:42 > Step:   25200 Progress: 25.2% Elapsed: 5:01:48 temperature: no ada_p: No Discriminator_loss: 1.05452 Generator_loss: 0.471424 
[INFO] 2021-01-15 17:19:47 > Step:   25300 Progress: 25.3% Elapsed: 5:02:53 temperature: no ada_p: No Discriminator_loss: 1.20703 Generator_loss: 0.410367 
[INFO] 2021-01-15 17:20:54 > Step:   25400 Progress: 25.4% Elapsed: 5:03:59 temperature: no ada_p: No Discriminator_loss: 1.1249 Generator_loss: 0.314685 
[INFO] 2021-01-15 17:21:59 > Step:   25500 Progress: 25.5% Elapsed: 5:05:04 temperature: no ada_p: No Discriminator_loss: 1.00791 Generator_loss: 0.353792 
[INFO] 2021-01-15 17:23:04 > Step:   25600 Progress: 25.6% Elapsed: 5:06:09 temperature: no ada_p: No Discriminator_loss: 1.03888 Generator_loss: 0.479701 
[INFO] 2021-01-15 17:24:09 > Step:   25700 Progress: 25.7% Elapsed: 5:07:14 temperature: no ada_p: No Discriminator_loss: 0.896812 Generator_loss: 0.473172 
[INFO] 2021-01-15 17:25:15 > Step:   25800 Progress: 25.8% Elapsed: 5:08:20 temperature: no ada_p: No Discriminator_loss: 0.836527 Generator_loss: 0.473233 
[INFO] 2021-01-15 17:26:20 > Step:   25900 Progress: 25.9% Elapsed: 5:09:25 temperature: no ada_p: No Discriminator_loss: 0.646128 Generator_loss: 0.582709 
[INFO] 2021-01-15 17:27:25 > Step:   26000 Progress: 26.0% Elapsed: 5:10:30 temperature: no ada_p: No Discriminator_loss: 0.854427 Generator_loss: 0.501217 
[INFO] 2021-01-15 17:27:25 > Start Evaluation (26000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:27:25 > Calculating FID Score....
[INFO] 2021-01-15 17:27:51 > Calculating Inception Score....
[INFO] 2021-01-15 17:28:06 > Calculate F_beta Score....
[INFO] 2021-01-15 17:29:17 > Calculate Accuracies....
[INFO] 2021-01-15 17:29:24 > Calculate Accuracies....
[INFO] 2021-01-15 17:29:39 > F_8 score (Step: 26000, Using valid images): 0.6693414953815833
[INFO] 2021-01-15 17:29:39 > F_1/8 score (Step: 26000, Using valid images): 0.8985063962673577
[INFO] 2021-01-15 17:29:39 > FID score (Step: 26000, Using valid moments): 54.17306021251966
[INFO] 2021-01-15 17:29:40 > Inception score (Step: 26000, 10000 generated images): 8.001768112182617
[INFO] 2021-01-15 17:29:40 > Best FID score (Step: 22000, Using valid moments): 53.23948398961454
[INFO] 2021-01-15 17:29:41 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:30:46 > Step:   26100 Progress: 26.1% Elapsed: 5:13:51 temperature: no ada_p: No Discriminator_loss: 0.823762 Generator_loss: 0.530251 
[INFO] 2021-01-15 17:31:52 > Step:   26200 Progress: 26.2% Elapsed: 5:14:57 temperature: no ada_p: No Discriminator_loss: 1.00066 Generator_loss: 0.214878 
[INFO] 2021-01-15 17:32:57 > Step:   26300 Progress: 26.3% Elapsed: 5:16:03 temperature: no ada_p: No Discriminator_loss: 0.882917 Generator_loss: 0.426309 
[INFO] 2021-01-15 17:34:02 > Step:   26400 Progress: 26.4% Elapsed: 5:17:08 temperature: no ada_p: No Discriminator_loss: 0.799265 Generator_loss: 0.359172 
[INFO] 2021-01-15 17:35:07 > Step:   26500 Progress: 26.5% Elapsed: 5:18:13 temperature: no ada_p: No Discriminator_loss: 1.09011 Generator_loss: 0.132846 
[INFO] 2021-01-15 17:36:13 > Step:   26600 Progress: 26.6% Elapsed: 5:19:19 temperature: no ada_p: No Discriminator_loss: 1.11809 Generator_loss: 0.502991 
[INFO] 2021-01-15 17:37:18 > Step:   26700 Progress: 26.7% Elapsed: 5:20:24 temperature: no ada_p: No Discriminator_loss: 0.755742 Generator_loss: 0.544844 
[INFO] 2021-01-15 17:38:23 > Step:   26800 Progress: 26.8% Elapsed: 5:21:29 temperature: no ada_p: No Discriminator_loss: 0.725323 Generator_loss: 0.222885 
[INFO] 2021-01-15 17:39:28 > Step:   26900 Progress: 26.9% Elapsed: 5:22:34 temperature: no ada_p: No Discriminator_loss: 1.21801 Generator_loss: 0.477129 
[INFO] 2021-01-15 17:40:34 > Step:   27000 Progress: 27.0% Elapsed: 5:23:40 temperature: no ada_p: No Discriminator_loss: 0.889903 Generator_loss: 0.479823 
[INFO] 2021-01-15 17:41:39 > Step:   27100 Progress: 27.1% Elapsed: 5:24:45 temperature: no ada_p: No Discriminator_loss: 0.983306 Generator_loss: 0.524934 
[INFO] 2021-01-15 17:42:44 > Step:   27200 Progress: 27.2% Elapsed: 5:25:50 temperature: no ada_p: No Discriminator_loss: 0.969311 Generator_loss: 0.39794 
[INFO] 2021-01-15 17:43:49 > Step:   27300 Progress: 27.3% Elapsed: 5:26:55 temperature: no ada_p: No Discriminator_loss: 0.851173 Generator_loss: 0.790206 
[INFO] 2021-01-15 17:44:56 > Step:   27400 Progress: 27.4% Elapsed: 5:28:01 temperature: no ada_p: No Discriminator_loss: 0.732619 Generator_loss: 0.372723 
[INFO] 2021-01-15 17:46:01 > Step:   27500 Progress: 27.5% Elapsed: 5:29:06 temperature: no ada_p: No Discriminator_loss: 0.652964 Generator_loss: 0.501027 
[INFO] 2021-01-15 17:47:06 > Step:   27600 Progress: 27.6% Elapsed: 5:30:11 temperature: no ada_p: No Discriminator_loss: 0.746617 Generator_loss: 0.37788 
[INFO] 2021-01-15 17:48:12 > Step:   27700 Progress: 27.7% Elapsed: 5:31:17 temperature: no ada_p: No Discriminator_loss: 0.697243 Generator_loss: 0.42012 
[INFO] 2021-01-15 17:49:17 > Step:   27800 Progress: 27.8% Elapsed: 5:32:22 temperature: no ada_p: No Discriminator_loss: 0.875811 Generator_loss: 0.608398 
[INFO] 2021-01-15 17:50:22 > Step:   27900 Progress: 27.9% Elapsed: 5:33:27 temperature: no ada_p: No Discriminator_loss: 0.88577 Generator_loss: 0.663911 
[INFO] 2021-01-15 17:51:27 > Step:   28000 Progress: 28.0% Elapsed: 5:34:32 temperature: no ada_p: No Discriminator_loss: 0.863158 Generator_loss: 0.418902 
[INFO] 2021-01-15 17:51:27 > Start Evaluation (28000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:51:27 > Calculating FID Score....
[INFO] 2021-01-15 17:51:53 > Calculating Inception Score....
[INFO] 2021-01-15 17:52:08 > Calculate F_beta Score....
[INFO] 2021-01-15 17:53:19 > Calculate Accuracies....
[INFO] 2021-01-15 17:53:27 > Calculate Accuracies....
[INFO] 2021-01-15 17:53:42 > F_8 score (Step: 28000, Using valid images): 0.664442168526753
[INFO] 2021-01-15 17:53:42 > F_1/8 score (Step: 28000, Using valid images): 0.8761728106835163
[INFO] 2021-01-15 17:53:42 > FID score (Step: 28000, Using valid moments): 53.08956376926437
[INFO] 2021-01-15 17:53:42 > Inception score (Step: 28000, 10000 generated images): 8.496610641479492
[INFO] 2021-01-15 17:53:42 > Best FID score (Step: 28000, Using valid moments): 53.08956376926437
[INFO] 2021-01-15 17:53:44 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 17:54:50 > Step:   28100 Progress: 28.1% Elapsed: 5:37:56 temperature: no ada_p: No Discriminator_loss: 0.605286 Generator_loss: 0.796648 
[INFO] 2021-01-15 17:55:55 > Step:   28200 Progress: 28.2% Elapsed: 5:39:01 temperature: no ada_p: No Discriminator_loss: 0.846584 Generator_loss: 0.438611 
[INFO] 2021-01-15 17:57:00 > Step:   28300 Progress: 28.3% Elapsed: 5:40:06 temperature: no ada_p: No Discriminator_loss: 1.06288 Generator_loss: 0.458989 
[INFO] 2021-01-15 17:58:05 > Step:   28400 Progress: 28.4% Elapsed: 5:41:11 temperature: no ada_p: No Discriminator_loss: 0.883092 Generator_loss: 0.626282 
[INFO] 2021-01-15 17:59:12 > Step:   28500 Progress: 28.5% Elapsed: 5:42:17 temperature: no ada_p: No Discriminator_loss: 0.861792 Generator_loss: 0.384179 
[INFO] 2021-01-15 18:00:17 > Step:   28600 Progress: 28.6% Elapsed: 5:43:22 temperature: no ada_p: No Discriminator_loss: 0.896019 Generator_loss: 0.548138 
[INFO] 2021-01-15 18:01:22 > Step:   28700 Progress: 28.7% Elapsed: 5:44:27 temperature: no ada_p: No Discriminator_loss: 0.696577 Generator_loss: 0.485136 
[INFO] 2021-01-15 18:02:27 > Step:   28800 Progress: 28.8% Elapsed: 5:45:33 temperature: no ada_p: No Discriminator_loss: 1.00832 Generator_loss: 0.673858 
[INFO] 2021-01-15 18:03:33 > Step:   28900 Progress: 28.9% Elapsed: 5:46:39 temperature: no ada_p: No Discriminator_loss: 0.802767 Generator_loss: 0.70018 
[INFO] 2021-01-15 18:04:38 > Step:   29000 Progress: 29.0% Elapsed: 5:47:44 temperature: no ada_p: No Discriminator_loss: 0.543073 Generator_loss: 0.386267 
[INFO] 2021-01-15 18:05:43 > Step:   29100 Progress: 29.1% Elapsed: 5:48:49 temperature: no ada_p: No Discriminator_loss: 0.683929 Generator_loss: 0.550541 
[INFO] 2021-01-15 18:06:48 > Step:   29200 Progress: 29.2% Elapsed: 5:49:54 temperature: no ada_p: No Discriminator_loss: 0.924839 Generator_loss: 0.670509 
[INFO] 2021-01-15 18:07:55 > Step:   29300 Progress: 29.3% Elapsed: 5:51:00 temperature: no ada_p: No Discriminator_loss: 0.865516 Generator_loss: 0.198263 
[INFO] 2021-01-15 18:09:00 > Step:   29400 Progress: 29.4% Elapsed: 5:52:05 temperature: no ada_p: No Discriminator_loss: 0.500788 Generator_loss: 0.597526 
[INFO] 2021-01-15 18:10:05 > Step:   29500 Progress: 29.5% Elapsed: 5:53:10 temperature: no ada_p: No Discriminator_loss: 0.478901 Generator_loss: 0.724229 
[INFO] 2021-01-15 18:11:10 > Step:   29600 Progress: 29.6% Elapsed: 5:54:15 temperature: no ada_p: No Discriminator_loss: 0.728919 Generator_loss: 0.36132 
[INFO] 2021-01-15 18:12:16 > Step:   29700 Progress: 29.7% Elapsed: 5:55:22 temperature: no ada_p: No Discriminator_loss: 0.784184 Generator_loss: 0.463671 
[INFO] 2021-01-15 18:13:21 > Step:   29800 Progress: 29.8% Elapsed: 5:56:27 temperature: no ada_p: No Discriminator_loss: 0.762476 Generator_loss: 0.677915 
[INFO] 2021-01-15 18:14:26 > Step:   29900 Progress: 29.9% Elapsed: 5:57:32 temperature: no ada_p: No Discriminator_loss: 0.839006 Generator_loss: 0.596864 
[INFO] 2021-01-15 18:15:31 > Step:   30000 Progress: 30.0% Elapsed: 5:58:37 temperature: no ada_p: No Discriminator_loss: 0.727309 Generator_loss: 0.816173 
[INFO] 2021-01-15 18:15:31 > Start Evaluation (30000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 18:15:31 > Calculating FID Score....
[INFO] 2021-01-15 18:15:57 > Calculating Inception Score....
[INFO] 2021-01-15 18:16:13 > Calculate F_beta Score....
[INFO] 2021-01-15 18:17:24 > Calculate Accuracies....
[INFO] 2021-01-15 18:17:32 > Calculate Accuracies....
[INFO] 2021-01-15 18:17:47 > F_8 score (Step: 30000, Using valid images): 0.6628793021456498
[INFO] 2021-01-15 18:17:47 > F_1/8 score (Step: 30000, Using valid images): 0.8640246002207501
[INFO] 2021-01-15 18:17:47 > FID score (Step: 30000, Using valid moments): 57.58356988993933
[INFO] 2021-01-15 18:17:47 > Inception score (Step: 30000, 10000 generated images): 8.291083335876465
[INFO] 2021-01-15 18:17:47 > Best FID score (Step: 28000, Using valid moments): 53.08956376926437
[INFO] 2021-01-15 18:17:48 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 18:18:54 > Step:   30100 Progress: 30.1% Elapsed: 6:02:00 temperature: no ada_p: No Discriminator_loss: 0.664637 Generator_loss: 0.78953 
[INFO] 2021-01-15 18:19:59 > Step:   30200 Progress: 30.2% Elapsed: 6:03:05 temperature: no ada_p: No Discriminator_loss: 0.76111 Generator_loss: 0.608866 
[INFO] 2021-01-15 18:21:04 > Step:   30300 Progress: 30.3% Elapsed: 6:04:10 temperature: no ada_p: No Discriminator_loss: 1.1156 Generator_loss: 0.593173 
[INFO] 2021-01-15 18:22:09 > Step:   30400 Progress: 30.4% Elapsed: 6:05:15 temperature: no ada_p: No Discriminator_loss: 0.838427 Generator_loss: 0.662855 
[INFO] 2021-01-15 18:23:15 > Step:   30500 Progress: 30.5% Elapsed: 6:06:21 temperature: no ada_p: No Discriminator_loss: 0.622575 Generator_loss: 0.54166 
[INFO] 2021-01-15 18:24:20 > Step:   30600 Progress: 30.6% Elapsed: 6:07:26 temperature: no ada_p: No Discriminator_loss: 1.07597 Generator_loss: 0.503423 
[INFO] 2021-01-15 18:25:25 > Step:   30700 Progress: 30.7% Elapsed: 6:08:31 temperature: no ada_p: No Discriminator_loss: 0.949273 Generator_loss: 0.581266 
[INFO] 2021-01-15 18:26:30 > Step:   30800 Progress: 30.8% Elapsed: 6:09:36 temperature: no ada_p: No Discriminator_loss: 0.698703 Generator_loss: 0.639338 
[INFO] 2021-01-15 18:27:37 > Step:   30900 Progress: 30.9% Elapsed: 6:10:42 temperature: no ada_p: No Discriminator_loss: 1.0189 Generator_loss: 0.522142 
[INFO] 2021-01-15 18:28:42 > Step:   31000 Progress: 31.0% Elapsed: 6:11:47 temperature: no ada_p: No Discriminator_loss: 0.862956 Generator_loss: 0.578212 
[INFO] 2021-01-15 18:29:47 > Step:   31100 Progress: 31.1% Elapsed: 6:12:52 temperature: no ada_p: No Discriminator_loss: 0.883369 Generator_loss: 0.676417 
[INFO] 2021-01-15 18:30:52 > Step:   31200 Progress: 31.2% Elapsed: 6:13:57 temperature: no ada_p: No Discriminator_loss: 0.649177 Generator_loss: 0.555753 
[INFO] 2021-01-15 18:31:58 > Step:   31300 Progress: 31.3% Elapsed: 6:15:03 temperature: no ada_p: No Discriminator_loss: 0.6843 Generator_loss: 0.658252 
[INFO] 2021-01-15 18:33:03 > Step:   31400 Progress: 31.4% Elapsed: 6:16:08 temperature: no ada_p: No Discriminator_loss: 0.960118 Generator_loss: 0.5875 
[INFO] 2021-01-15 18:34:08 > Step:   31500 Progress: 31.5% Elapsed: 6:17:13 temperature: no ada_p: No Discriminator_loss: 0.937428 Generator_loss: 0.690541 
[INFO] 2021-01-15 18:35:14 > Step:   31600 Progress: 31.6% Elapsed: 6:18:20 temperature: no ada_p: No Discriminator_loss: 0.696505 Generator_loss: 0.677113 
[INFO] 2021-01-15 18:36:19 > Step:   31700 Progress: 31.7% Elapsed: 6:19:25 temperature: no ada_p: No Discriminator_loss: 0.757743 Generator_loss: 0.599603 
[INFO] 2021-01-15 18:37:24 > Step:   31800 Progress: 31.8% Elapsed: 6:20:30 temperature: no ada_p: No Discriminator_loss: 0.860057 Generator_loss: 0.576135 
[INFO] 2021-01-15 18:38:29 > Step:   31900 Progress: 31.9% Elapsed: 6:21:35 temperature: no ada_p: No Discriminator_loss: 0.496017 Generator_loss: 0.797094 
[INFO] 2021-01-15 18:39:35 > Step:   32000 Progress: 32.0% Elapsed: 6:22:41 temperature: no ada_p: No Discriminator_loss: 0.698903 Generator_loss: 0.573455 
[INFO] 2021-01-15 18:39:35 > Start Evaluation (32000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 18:39:35 > Calculating FID Score....
[INFO] 2021-01-15 18:40:01 > Calculating Inception Score....
[INFO] 2021-01-15 18:40:17 > Calculate F_beta Score....
[INFO] 2021-01-15 18:41:29 > Calculate Accuracies....
[INFO] 2021-01-15 18:41:36 > Calculate Accuracies....
[INFO] 2021-01-15 18:41:51 > F_8 score (Step: 32000, Using valid images): 0.678215052543804
[INFO] 2021-01-15 18:41:51 > F_1/8 score (Step: 32000, Using valid images): 0.8572429370739991
[INFO] 2021-01-15 18:41:51 > FID score (Step: 32000, Using valid moments): 56.63112148864394
[INFO] 2021-01-15 18:41:51 > Inception score (Step: 32000, 10000 generated images): 8.555517196655273
[INFO] 2021-01-15 18:41:51 > Best FID score (Step: 28000, Using valid moments): 53.08956376926437
[INFO] 2021-01-15 18:41:53 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 18:42:57 > Step:   32100 Progress: 32.1% Elapsed: 6:26:03 temperature: no ada_p: No Discriminator_loss: 0.729128 Generator_loss: 0.650068 
[INFO] 2021-01-15 18:44:02 > Step:   32200 Progress: 32.2% Elapsed: 6:27:08 temperature: no ada_p: No Discriminator_loss: 0.931079 Generator_loss: 0.58587 
[INFO] 2021-01-15 18:45:07 > Step:   32300 Progress: 32.3% Elapsed: 6:28:13 temperature: no ada_p: No Discriminator_loss: 0.694854 Generator_loss: 0.55238 
[INFO] 2021-01-15 18:46:14 > Step:   32400 Progress: 32.4% Elapsed: 6:29:19 temperature: no ada_p: No Discriminator_loss: 0.701537 Generator_loss: 0.804456 
[INFO] 2021-01-15 18:47:19 > Step:   32500 Progress: 32.5% Elapsed: 6:30:24 temperature: no ada_p: No Discriminator_loss: 1.0511 Generator_loss: 0.628849 
[INFO] 2021-01-15 18:48:24 > Step:   32600 Progress: 32.6% Elapsed: 6:31:29 temperature: no ada_p: No Discriminator_loss: 0.671847 Generator_loss: 0.772056 
[INFO] 2021-01-15 18:49:29 > Step:   32700 Progress: 32.7% Elapsed: 6:32:34 temperature: no ada_p: No Discriminator_loss: 0.930409 Generator_loss: 0.51059 
[INFO] 2021-01-15 18:50:35 > Step:   32800 Progress: 32.8% Elapsed: 6:33:40 temperature: no ada_p: No Discriminator_loss: 0.637951 Generator_loss: 0.63646 
[INFO] 2021-01-15 18:51:40 > Step:   32900 Progress: 32.9% Elapsed: 6:34:45 temperature: no ada_p: No Discriminator_loss: 0.775425 Generator_loss: 0.627588 
[INFO] 2021-01-15 18:52:45 > Step:   33000 Progress: 33.0% Elapsed: 6:35:50 temperature: no ada_p: No Discriminator_loss: 0.687804 Generator_loss: 0.787413 
[INFO] 2021-01-15 18:53:50 > Step:   33100 Progress: 33.1% Elapsed: 6:36:56 temperature: no ada_p: No Discriminator_loss: 0.593951 Generator_loss: 0.728587 
[INFO] 2021-01-15 18:54:56 > Step:   33200 Progress: 33.2% Elapsed: 6:38:02 temperature: no ada_p: No Discriminator_loss: 0.755056 Generator_loss: 0.614986 
[INFO] 2021-01-15 18:56:01 > Step:   33300 Progress: 33.3% Elapsed: 6:39:07 temperature: no ada_p: No Discriminator_loss: 0.698282 Generator_loss: 0.676832 
[INFO] 2021-01-15 18:57:06 > Step:   33400 Progress: 33.4% Elapsed: 6:40:12 temperature: no ada_p: No Discriminator_loss: 0.836735 Generator_loss: 0.723552 
[INFO] 2021-01-15 18:58:11 > Step:   33500 Progress: 33.5% Elapsed: 6:41:17 temperature: no ada_p: No Discriminator_loss: 0.822142 Generator_loss: 0.699495 
[INFO] 2021-01-15 18:59:17 > Step:   33600 Progress: 33.6% Elapsed: 6:42:23 temperature: no ada_p: No Discriminator_loss: 0.602055 Generator_loss: 0.508447 
[INFO] 2021-01-15 19:00:22 > Step:   33700 Progress: 33.7% Elapsed: 6:43:28 temperature: no ada_p: No Discriminator_loss: 0.722588 Generator_loss: 0.686645 
[INFO] 2021-01-15 19:01:27 > Step:   33800 Progress: 33.8% Elapsed: 6:44:33 temperature: no ada_p: No Discriminator_loss: 0.689221 Generator_loss: 0.486341 
[INFO] 2021-01-15 19:02:32 > Step:   33900 Progress: 33.9% Elapsed: 6:45:38 temperature: no ada_p: No Discriminator_loss: 0.716853 Generator_loss: 0.590819 
[INFO] 2021-01-15 19:03:39 > Step:   34000 Progress: 34.0% Elapsed: 6:46:44 temperature: no ada_p: No Discriminator_loss: 0.935319 Generator_loss: 0.73688 
[INFO] 2021-01-15 19:03:39 > Start Evaluation (34000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:03:39 > Calculating FID Score....
[INFO] 2021-01-15 19:04:04 > Calculating Inception Score....
[INFO] 2021-01-15 19:04:20 > Calculate F_beta Score....
[INFO] 2021-01-15 19:05:31 > Calculate Accuracies....
[INFO] 2021-01-15 19:05:38 > Calculate Accuracies....
[INFO] 2021-01-15 19:05:53 > F_8 score (Step: 34000, Using valid images): 0.6395547050197398
[INFO] 2021-01-15 19:05:53 > F_1/8 score (Step: 34000, Using valid images): 0.8626571791908569
[INFO] 2021-01-15 19:05:53 > FID score (Step: 34000, Using valid moments): 55.929673734288826
[INFO] 2021-01-15 19:05:53 > Inception score (Step: 34000, 10000 generated images): 8.258784294128418
[INFO] 2021-01-15 19:05:53 > Best FID score (Step: 28000, Using valid moments): 53.08956376926437
[INFO] 2021-01-15 19:05:55 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:06:59 > Step:   34100 Progress: 34.1% Elapsed: 6:50:05 temperature: no ada_p: No Discriminator_loss: 0.752093 Generator_loss: 0.639184 
[INFO] 2021-01-15 19:08:04 > Step:   34200 Progress: 34.2% Elapsed: 6:51:10 temperature: no ada_p: No Discriminator_loss: 0.768359 Generator_loss: 0.501821 
[INFO] 2021-01-15 19:09:09 > Step:   34300 Progress: 34.3% Elapsed: 6:52:15 temperature: no ada_p: No Discriminator_loss: 1.04628 Generator_loss: 0.661199 
[INFO] 2021-01-15 19:10:16 > Step:   34400 Progress: 34.4% Elapsed: 6:53:21 temperature: no ada_p: No Discriminator_loss: 0.824113 Generator_loss: 0.53168 
[INFO] 2021-01-15 19:11:21 > Step:   34500 Progress: 34.5% Elapsed: 6:54:26 temperature: no ada_p: No Discriminator_loss: 0.730862 Generator_loss: 0.575361 
[INFO] 2021-01-15 19:12:26 > Step:   34600 Progress: 34.6% Elapsed: 6:55:31 temperature: no ada_p: No Discriminator_loss: 0.597001 Generator_loss: 0.845498 
[INFO] 2021-01-15 19:13:31 > Step:   34700 Progress: 34.7% Elapsed: 6:56:36 temperature: no ada_p: No Discriminator_loss: 0.908878 Generator_loss: 0.464575 
[INFO] 2021-01-15 19:14:37 > Step:   34800 Progress: 34.8% Elapsed: 6:57:43 temperature: no ada_p: No Discriminator_loss: 0.645007 Generator_loss: 0.718055 
[INFO] 2021-01-15 19:15:42 > Step:   34900 Progress: 34.9% Elapsed: 6:58:48 temperature: no ada_p: No Discriminator_loss: 0.561154 Generator_loss: 0.750949 
[INFO] 2021-01-15 19:16:47 > Step:   35000 Progress: 35.0% Elapsed: 6:59:53 temperature: no ada_p: No Discriminator_loss: 0.527211 Generator_loss: 0.812763 
[INFO] 2021-01-15 19:17:52 > Step:   35100 Progress: 35.1% Elapsed: 7:00:57 temperature: no ada_p: No Discriminator_loss: 0.666895 Generator_loss: 0.776042 
[INFO] 2021-01-15 19:18:58 > Step:   35200 Progress: 35.2% Elapsed: 7:02:04 temperature: no ada_p: No Discriminator_loss: 0.681701 Generator_loss: 0.479053 
[INFO] 2021-01-15 19:20:03 > Step:   35300 Progress: 35.3% Elapsed: 7:03:09 temperature: no ada_p: No Discriminator_loss: 0.907465 Generator_loss: 0.712028 
[INFO] 2021-01-15 19:21:08 > Step:   35400 Progress: 35.4% Elapsed: 7:04:14 temperature: no ada_p: No Discriminator_loss: 0.780577 Generator_loss: 0.641173 
[INFO] 2021-01-15 19:22:14 > Step:   35500 Progress: 35.5% Elapsed: 7:05:20 temperature: no ada_p: No Discriminator_loss: 0.907834 Generator_loss: 0.507473 
[INFO] 2021-01-15 19:23:19 > Step:   35600 Progress: 35.6% Elapsed: 7:06:25 temperature: no ada_p: No Discriminator_loss: 0.83201 Generator_loss: 0.630565 
[INFO] 2021-01-15 19:24:24 > Step:   35700 Progress: 35.7% Elapsed: 7:07:30 temperature: no ada_p: No Discriminator_loss: 0.643757 Generator_loss: 0.709449 
[INFO] 2021-01-15 19:25:29 > Step:   35800 Progress: 35.8% Elapsed: 7:08:35 temperature: no ada_p: No Discriminator_loss: 0.655086 Generator_loss: 0.659542 
[INFO] 2021-01-15 19:26:35 > Step:   35900 Progress: 35.9% Elapsed: 7:09:41 temperature: no ada_p: No Discriminator_loss: 0.835202 Generator_loss: 0.809656 
[INFO] 2021-01-15 19:27:40 > Step:   36000 Progress: 36.0% Elapsed: 7:10:46 temperature: no ada_p: No Discriminator_loss: 0.735019 Generator_loss: 0.625327 
[INFO] 2021-01-15 19:27:40 > Start Evaluation (36000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:27:40 > Calculating FID Score....
[INFO] 2021-01-15 19:28:06 > Calculating Inception Score....
[INFO] 2021-01-15 19:28:22 > Calculate F_beta Score....
[INFO] 2021-01-15 19:29:33 > Calculate Accuracies....
[INFO] 2021-01-15 19:29:40 > Calculate Accuracies....
[INFO] 2021-01-15 19:29:55 > F_8 score (Step: 36000, Using valid images): 0.6775173273973016
[INFO] 2021-01-15 19:29:55 > F_1/8 score (Step: 36000, Using valid images): 0.8715932075006567
[INFO] 2021-01-15 19:29:55 > FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 19:29:55 > Inception score (Step: 36000, 10000 generated images): 8.357431411743164
[INFO] 2021-01-15 19:29:55 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 19:29:58 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:31:02 > Step:   36100 Progress: 36.1% Elapsed: 7:14:08 temperature: no ada_p: No Discriminator_loss: 0.523963 Generator_loss: 0.743495 
[INFO] 2021-01-15 19:32:07 > Step:   36200 Progress: 36.2% Elapsed: 7:15:13 temperature: no ada_p: No Discriminator_loss: 0.667903 Generator_loss: 0.715018 
[INFO] 2021-01-15 19:33:13 > Step:   36300 Progress: 36.3% Elapsed: 7:16:19 temperature: no ada_p: No Discriminator_loss: 0.547862 Generator_loss: 0.813453 
[INFO] 2021-01-15 19:34:18 > Step:   36400 Progress: 36.4% Elapsed: 7:17:24 temperature: no ada_p: No Discriminator_loss: 0.66035 Generator_loss: 0.685022 
[INFO] 2021-01-15 19:35:23 > Step:   36500 Progress: 36.5% Elapsed: 7:18:29 temperature: no ada_p: No Discriminator_loss: 0.974332 Generator_loss: 0.70518 
[INFO] 2021-01-15 19:36:28 > Step:   36600 Progress: 36.6% Elapsed: 7:19:34 temperature: no ada_p: No Discriminator_loss: 0.683065 Generator_loss: 0.610259 
[INFO] 2021-01-15 19:37:35 > Step:   36700 Progress: 36.7% Elapsed: 7:20:40 temperature: no ada_p: No Discriminator_loss: 0.686275 Generator_loss: 0.788395 
[INFO] 2021-01-15 19:38:39 > Step:   36800 Progress: 36.8% Elapsed: 7:21:45 temperature: no ada_p: No Discriminator_loss: 0.582689 Generator_loss: 0.693863 
[INFO] 2021-01-15 19:39:44 > Step:   36900 Progress: 36.9% Elapsed: 7:22:50 temperature: no ada_p: No Discriminator_loss: 0.789196 Generator_loss: 0.799994 
[INFO] 2021-01-15 19:40:49 > Step:   37000 Progress: 37.0% Elapsed: 7:23:55 temperature: no ada_p: No Discriminator_loss: 0.549539 Generator_loss: 0.797662 
[INFO] 2021-01-15 19:41:56 > Step:   37100 Progress: 37.1% Elapsed: 7:25:01 temperature: no ada_p: No Discriminator_loss: 0.578371 Generator_loss: 0.696471 
[INFO] 2021-01-15 19:43:01 > Step:   37200 Progress: 37.2% Elapsed: 7:26:06 temperature: no ada_p: No Discriminator_loss: 0.77779 Generator_loss: 0.688064 
[INFO] 2021-01-15 19:44:06 > Step:   37300 Progress: 37.3% Elapsed: 7:27:11 temperature: no ada_p: No Discriminator_loss: 0.811418 Generator_loss: 0.731279 
[INFO] 2021-01-15 19:45:11 > Step:   37400 Progress: 37.4% Elapsed: 7:28:16 temperature: no ada_p: No Discriminator_loss: 1.01368 Generator_loss: 0.641722 
[INFO] 2021-01-15 19:46:17 > Step:   37500 Progress: 37.5% Elapsed: 7:29:22 temperature: no ada_p: No Discriminator_loss: 0.695129 Generator_loss: 0.925288 
[INFO] 2021-01-15 19:47:22 > Step:   37600 Progress: 37.6% Elapsed: 7:30:27 temperature: no ada_p: No Discriminator_loss: 0.670441 Generator_loss: 0.780083 
[INFO] 2021-01-15 19:48:27 > Step:   37700 Progress: 37.7% Elapsed: 7:31:32 temperature: no ada_p: No Discriminator_loss: 0.747758 Generator_loss: 0.723186 
[INFO] 2021-01-15 19:49:32 > Step:   37800 Progress: 37.8% Elapsed: 7:32:37 temperature: no ada_p: No Discriminator_loss: 0.799087 Generator_loss: 0.792409 
[INFO] 2021-01-15 19:50:38 > Step:   37900 Progress: 37.9% Elapsed: 7:33:43 temperature: no ada_p: No Discriminator_loss: 0.586977 Generator_loss: 0.730541 
[INFO] 2021-01-15 19:51:43 > Step:   38000 Progress: 38.0% Elapsed: 7:34:48 temperature: no ada_p: No Discriminator_loss: 0.538792 Generator_loss: 0.731213 
[INFO] 2021-01-15 19:51:43 > Start Evaluation (38000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:51:43 > Calculating FID Score....
[INFO] 2021-01-15 19:52:09 > Calculating Inception Score....
[INFO] 2021-01-15 19:52:24 > Calculate F_beta Score....
[INFO] 2021-01-15 19:53:35 > Calculate Accuracies....
[INFO] 2021-01-15 19:53:43 > Calculate Accuracies....
[INFO] 2021-01-15 19:53:58 > F_8 score (Step: 38000, Using valid images): 0.6827656797530275
[INFO] 2021-01-15 19:53:58 > F_1/8 score (Step: 38000, Using valid images): 0.8795076143713662
[INFO] 2021-01-15 19:53:58 > FID score (Step: 38000, Using valid moments): 52.916434614779405
[INFO] 2021-01-15 19:53:58 > Inception score (Step: 38000, 10000 generated images): 8.563854217529297
[INFO] 2021-01-15 19:53:58 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 19:53:59 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 19:55:04 > Step:   38100 Progress: 38.1% Elapsed: 7:38:09 temperature: no ada_p: No Discriminator_loss: 1.04748 Generator_loss: 0.706126 
[INFO] 2021-01-15 19:56:09 > Step:   38200 Progress: 38.2% Elapsed: 7:39:14 temperature: no ada_p: No Discriminator_loss: 0.613261 Generator_loss: 1.02943 
[INFO] 2021-01-15 19:57:15 > Step:   38300 Progress: 38.3% Elapsed: 7:40:21 temperature: no ada_p: No Discriminator_loss: 0.638463 Generator_loss: 0.560837 
[INFO] 2021-01-15 19:58:20 > Step:   38400 Progress: 38.4% Elapsed: 7:41:26 temperature: no ada_p: No Discriminator_loss: 0.663636 Generator_loss: 0.691043 
[INFO] 2021-01-15 19:59:25 > Step:   38500 Progress: 38.5% Elapsed: 7:42:30 temperature: no ada_p: No Discriminator_loss: 0.743306 Generator_loss: 0.745471 
[INFO] 2021-01-15 20:00:30 > Step:   38600 Progress: 38.6% Elapsed: 7:43:35 temperature: no ada_p: No Discriminator_loss: 0.62874 Generator_loss: 0.732402 
[INFO] 2021-01-15 20:01:36 > Step:   38700 Progress: 38.7% Elapsed: 7:44:42 temperature: no ada_p: No Discriminator_loss: 0.684247 Generator_loss: 0.737623 
[INFO] 2021-01-15 20:02:41 > Step:   38800 Progress: 38.8% Elapsed: 7:45:47 temperature: no ada_p: No Discriminator_loss: 0.662019 Generator_loss: 0.787601 
[INFO] 2021-01-15 20:03:46 > Step:   38900 Progress: 38.9% Elapsed: 7:46:51 temperature: no ada_p: No Discriminator_loss: 0.567864 Generator_loss: 0.739412 
[INFO] 2021-01-15 20:04:51 > Step:   39000 Progress: 39.0% Elapsed: 7:47:56 temperature: no ada_p: No Discriminator_loss: 1.11098 Generator_loss: 0.736314 
[INFO] 2021-01-15 20:05:57 > Step:   39100 Progress: 39.1% Elapsed: 7:49:03 temperature: no ada_p: No Discriminator_loss: 0.649369 Generator_loss: 0.629103 
[INFO] 2021-01-15 20:07:02 > Step:   39200 Progress: 39.2% Elapsed: 7:50:08 temperature: no ada_p: No Discriminator_loss: 0.717884 Generator_loss: 0.818797 
[INFO] 2021-01-15 20:08:07 > Step:   39300 Progress: 39.3% Elapsed: 7:51:13 temperature: no ada_p: No Discriminator_loss: 0.584573 Generator_loss: 0.88125 
[INFO] 2021-01-15 20:09:13 > Step:   39400 Progress: 39.4% Elapsed: 7:52:19 temperature: no ada_p: No Discriminator_loss: 0.746796 Generator_loss: 0.683823 
[INFO] 2021-01-15 20:10:18 > Step:   39500 Progress: 39.5% Elapsed: 7:53:24 temperature: no ada_p: No Discriminator_loss: 0.693853 Generator_loss: 0.537171 
[INFO] 2021-01-15 20:11:23 > Step:   39600 Progress: 39.6% Elapsed: 7:54:29 temperature: no ada_p: No Discriminator_loss: 0.611879 Generator_loss: 0.5753 
[INFO] 2021-01-15 20:12:28 > Step:   39700 Progress: 39.7% Elapsed: 7:55:34 temperature: no ada_p: No Discriminator_loss: 0.742259 Generator_loss: 0.717462 
[INFO] 2021-01-15 20:13:34 > Step:   39800 Progress: 39.8% Elapsed: 7:56:40 temperature: no ada_p: No Discriminator_loss: 0.478645 Generator_loss: 0.941377 
[INFO] 2021-01-15 20:14:39 > Step:   39900 Progress: 39.9% Elapsed: 7:57:45 temperature: no ada_p: No Discriminator_loss: 0.528006 Generator_loss: 0.616157 
[INFO] 2021-01-15 20:15:44 > Step:   40000 Progress: 40.0% Elapsed: 7:58:50 temperature: no ada_p: No Discriminator_loss: 0.574251 Generator_loss: 0.867337 
[INFO] 2021-01-15 20:15:44 > Start Evaluation (40000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 20:15:44 > Calculating FID Score....
[INFO] 2021-01-15 20:16:10 > Calculating Inception Score....
[INFO] 2021-01-15 20:16:26 > Calculate F_beta Score....
[INFO] 2021-01-15 20:17:37 > Calculate Accuracies....
[INFO] 2021-01-15 20:17:45 > Calculate Accuracies....
[INFO] 2021-01-15 20:18:00 > F_8 score (Step: 40000, Using valid images): 0.6728469950182844
[INFO] 2021-01-15 20:18:00 > F_1/8 score (Step: 40000, Using valid images): 0.8772801483841712
[INFO] 2021-01-15 20:18:00 > FID score (Step: 40000, Using valid moments): 56.18011971860318
[INFO] 2021-01-15 20:18:00 > Inception score (Step: 40000, 10000 generated images): 8.01999282836914
[INFO] 2021-01-15 20:18:00 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 20:18:01 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 20:19:06 > Step:   40100 Progress: 40.1% Elapsed: 8:02:11 temperature: no ada_p: No Discriminator_loss: 0.792583 Generator_loss: 0.782856 
[INFO] 2021-01-15 20:20:12 > Step:   40200 Progress: 40.2% Elapsed: 8:03:18 temperature: no ada_p: No Discriminator_loss: 0.537945 Generator_loss: 0.977551 
[INFO] 2021-01-15 20:21:17 > Step:   40300 Progress: 40.3% Elapsed: 8:04:23 temperature: no ada_p: No Discriminator_loss: 0.554032 Generator_loss: 0.937765 
[INFO] 2021-01-15 20:22:22 > Step:   40400 Progress: 40.4% Elapsed: 8:05:28 temperature: no ada_p: No Discriminator_loss: 0.626037 Generator_loss: 0.832204 
[INFO] 2021-01-15 20:23:27 > Step:   40500 Progress: 40.5% Elapsed: 8:06:33 temperature: no ada_p: No Discriminator_loss: 0.73949 Generator_loss: 0.86382 
[INFO] 2021-01-15 20:24:33 > Step:   40600 Progress: 40.6% Elapsed: 8:07:39 temperature: no ada_p: No Discriminator_loss: 0.62549 Generator_loss: 0.822812 
[INFO] 2021-01-15 20:25:38 > Step:   40700 Progress: 40.7% Elapsed: 8:08:44 temperature: no ada_p: No Discriminator_loss: 0.79653 Generator_loss: 0.592467 
[INFO] 2021-01-15 20:26:43 > Step:   40800 Progress: 40.8% Elapsed: 8:09:49 temperature: no ada_p: No Discriminator_loss: 0.709352 Generator_loss: 0.680305 
[INFO] 2021-01-15 20:27:48 > Step:   40900 Progress: 40.9% Elapsed: 8:10:54 temperature: no ada_p: No Discriminator_loss: 0.508585 Generator_loss: 0.711352 
[INFO] 2021-01-15 20:28:55 > Step:   41000 Progress: 41.0% Elapsed: 8:12:00 temperature: no ada_p: No Discriminator_loss: 0.889132 Generator_loss: 0.718766 
[INFO] 2021-01-15 20:30:00 > Step:   41100 Progress: 41.1% Elapsed: 8:13:05 temperature: no ada_p: No Discriminator_loss: 0.495071 Generator_loss: 0.932317 
[INFO] 2021-01-15 20:31:05 > Step:   41200 Progress: 41.2% Elapsed: 8:14:10 temperature: no ada_p: No Discriminator_loss: 0.649002 Generator_loss: 0.84083 
[INFO] 2021-01-15 20:32:10 > Step:   41300 Progress: 41.3% Elapsed: 8:15:15 temperature: no ada_p: No Discriminator_loss: 0.713995 Generator_loss: 0.763749 
[INFO] 2021-01-15 20:33:16 > Step:   41400 Progress: 41.4% Elapsed: 8:16:22 temperature: no ada_p: No Discriminator_loss: 0.549654 Generator_loss: 0.813569 
[INFO] 2021-01-15 20:34:21 > Step:   41500 Progress: 41.5% Elapsed: 8:17:27 temperature: no ada_p: No Discriminator_loss: 0.82205 Generator_loss: 0.553521 
[INFO] 2021-01-15 20:35:26 > Step:   41600 Progress: 41.6% Elapsed: 8:18:32 temperature: no ada_p: No Discriminator_loss: 0.769284 Generator_loss: 0.756782 
[INFO] 2021-01-15 20:36:31 > Step:   41700 Progress: 41.7% Elapsed: 8:19:37 temperature: no ada_p: No Discriminator_loss: 0.705662 Generator_loss: 0.744285 
[INFO] 2021-01-15 20:37:37 > Step:   41800 Progress: 41.8% Elapsed: 8:20:43 temperature: no ada_p: No Discriminator_loss: 0.742539 Generator_loss: 0.645344 
[INFO] 2021-01-15 20:38:42 > Step:   41900 Progress: 41.9% Elapsed: 8:21:48 temperature: no ada_p: No Discriminator_loss: 0.380359 Generator_loss: 1.13243 
[INFO] 2021-01-15 20:39:47 > Step:   42000 Progress: 42.0% Elapsed: 8:22:53 temperature: no ada_p: No Discriminator_loss: 0.673469 Generator_loss: 0.784536 
[INFO] 2021-01-15 20:39:47 > Start Evaluation (42000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 20:39:47 > Calculating FID Score....
[INFO] 2021-01-15 20:40:13 > Calculating Inception Score....
[INFO] 2021-01-15 20:40:29 > Calculate F_beta Score....
[INFO] 2021-01-15 20:41:40 > Calculate Accuracies....
[INFO] 2021-01-15 20:41:47 > Calculate Accuracies....
[INFO] 2021-01-15 20:42:02 > F_8 score (Step: 42000, Using valid images): 0.6731226436080244
[INFO] 2021-01-15 20:42:02 > F_1/8 score (Step: 42000, Using valid images): 0.8570642920730431
[INFO] 2021-01-15 20:42:02 > FID score (Step: 42000, Using valid moments): 55.573947946186536
[INFO] 2021-01-15 20:42:02 > Inception score (Step: 42000, 10000 generated images): 8.266783714294434
[INFO] 2021-01-15 20:42:02 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 20:42:04 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 20:43:08 > Step:   42100 Progress: 42.1% Elapsed: 8:26:14 temperature: no ada_p: No Discriminator_loss: 0.581216 Generator_loss: 0.717161 
[INFO] 2021-01-15 20:44:15 > Step:   42200 Progress: 42.2% Elapsed: 8:27:20 temperature: no ada_p: No Discriminator_loss: 0.674709 Generator_loss: 0.678548 
[INFO] 2021-01-15 20:45:20 > Step:   42300 Progress: 42.3% Elapsed: 8:28:25 temperature: no ada_p: No Discriminator_loss: 0.550955 Generator_loss: 0.593754 
[INFO] 2021-01-15 20:46:25 > Step:   42400 Progress: 42.4% Elapsed: 8:29:30 temperature: no ada_p: No Discriminator_loss: 0.636701 Generator_loss: 0.897784 
[INFO] 2021-01-15 20:47:30 > Step:   42500 Progress: 42.5% Elapsed: 8:30:35 temperature: no ada_p: No Discriminator_loss: 0.684581 Generator_loss: 0.46279 
[INFO] 2021-01-15 20:48:36 > Step:   42600 Progress: 42.6% Elapsed: 8:31:42 temperature: no ada_p: No Discriminator_loss: 0.759182 Generator_loss: 0.807405 
[INFO] 2021-01-15 20:49:41 > Step:   42700 Progress: 42.7% Elapsed: 8:32:47 temperature: no ada_p: No Discriminator_loss: 0.52992 Generator_loss: 0.826256 
[INFO] 2021-01-15 20:50:46 > Step:   42800 Progress: 42.8% Elapsed: 8:33:52 temperature: no ada_p: No Discriminator_loss: 0.639466 Generator_loss: 0.603949 
[INFO] 2021-01-15 20:51:51 > Step:   42900 Progress: 42.9% Elapsed: 8:34:57 temperature: no ada_p: No Discriminator_loss: 0.742411 Generator_loss: 0.687543 
[INFO] 2021-01-15 20:52:57 > Step:   43000 Progress: 43.0% Elapsed: 8:36:03 temperature: no ada_p: No Discriminator_loss: 0.60184 Generator_loss: 0.739876 
[INFO] 2021-01-15 20:54:02 > Step:   43100 Progress: 43.1% Elapsed: 8:37:08 temperature: no ada_p: No Discriminator_loss: 0.572261 Generator_loss: 0.641582 
[INFO] 2021-01-15 20:55:07 > Step:   43200 Progress: 43.2% Elapsed: 8:38:13 temperature: no ada_p: No Discriminator_loss: 0.466576 Generator_loss: 0.903635 
[INFO] 2021-01-15 20:56:14 > Step:   43300 Progress: 43.3% Elapsed: 8:39:19 temperature: no ada_p: No Discriminator_loss: 0.710086 Generator_loss: 0.753599 
[INFO] 2021-01-15 20:57:19 > Step:   43400 Progress: 43.4% Elapsed: 8:40:24 temperature: no ada_p: No Discriminator_loss: 0.728819 Generator_loss: 0.795076 
[INFO] 2021-01-15 20:58:24 > Step:   43500 Progress: 43.5% Elapsed: 8:41:29 temperature: no ada_p: No Discriminator_loss: 0.505177 Generator_loss: 0.77383 
[INFO] 2021-01-15 20:59:29 > Step:   43600 Progress: 43.6% Elapsed: 8:42:34 temperature: no ada_p: No Discriminator_loss: 0.49409 Generator_loss: 0.759603 
[INFO] 2021-01-15 21:00:35 > Step:   43700 Progress: 43.7% Elapsed: 8:43:41 temperature: no ada_p: No Discriminator_loss: 0.521342 Generator_loss: 0.835343 
[INFO] 2021-01-15 21:01:40 > Step:   43800 Progress: 43.8% Elapsed: 8:44:45 temperature: no ada_p: No Discriminator_loss: 0.615715 Generator_loss: 0.758387 
[INFO] 2021-01-15 21:02:45 > Step:   43900 Progress: 43.9% Elapsed: 8:45:51 temperature: no ada_p: No Discriminator_loss: 0.848223 Generator_loss: 0.583925 
[INFO] 2021-01-15 21:03:50 > Step:   44000 Progress: 44.0% Elapsed: 8:46:56 temperature: no ada_p: No Discriminator_loss: 0.680617 Generator_loss: 0.761216 
[INFO] 2021-01-15 21:03:50 > Start Evaluation (44000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:03:50 > Calculating FID Score....
[INFO] 2021-01-15 21:04:16 > Calculating Inception Score....
[INFO] 2021-01-15 21:04:32 > Calculate F_beta Score....
[INFO] 2021-01-15 21:05:43 > Calculate Accuracies....
[INFO] 2021-01-15 21:05:51 > Calculate Accuracies....
[INFO] 2021-01-15 21:06:06 > F_8 score (Step: 44000, Using valid images): 0.6744965454196324
[INFO] 2021-01-15 21:06:06 > F_1/8 score (Step: 44000, Using valid images): 0.8532156419185393
[INFO] 2021-01-15 21:06:06 > FID score (Step: 44000, Using valid moments): 54.93708236535531
[INFO] 2021-01-15 21:06:06 > Inception score (Step: 44000, 10000 generated images): 8.251002311706543
[INFO] 2021-01-15 21:06:06 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 21:06:07 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:07:13 > Step:   44100 Progress: 44.1% Elapsed: 8:50:18 temperature: no ada_p: No Discriminator_loss: 0.637077 Generator_loss: 0.767551 
[INFO] 2021-01-15 21:08:18 > Step:   44200 Progress: 44.2% Elapsed: 8:51:23 temperature: no ada_p: No Discriminator_loss: 0.526211 Generator_loss: 0.815924 
[INFO] 2021-01-15 21:09:23 > Step:   44300 Progress: 44.3% Elapsed: 8:52:28 temperature: no ada_p: No Discriminator_loss: 0.596349 Generator_loss: 0.697224 
[INFO] 2021-01-15 21:10:28 > Step:   44400 Progress: 44.4% Elapsed: 8:53:33 temperature: no ada_p: No Discriminator_loss: 0.500509 Generator_loss: 0.756433 
[INFO] 2021-01-15 21:11:34 > Step:   44500 Progress: 44.5% Elapsed: 8:54:40 temperature: no ada_p: No Discriminator_loss: 0.572856 Generator_loss: 0.772047 
[INFO] 2021-01-15 21:12:39 > Step:   44600 Progress: 44.6% Elapsed: 8:55:45 temperature: no ada_p: No Discriminator_loss: 0.64785 Generator_loss: 0.761897 
[INFO] 2021-01-15 21:13:44 > Step:   44700 Progress: 44.7% Elapsed: 8:56:50 temperature: no ada_p: No Discriminator_loss: 0.456658 Generator_loss: 0.851797 
[INFO] 2021-01-15 21:14:49 > Step:   44800 Progress: 44.8% Elapsed: 8:57:55 temperature: no ada_p: No Discriminator_loss: 0.503786 Generator_loss: 0.803435 
[INFO] 2021-01-15 21:15:55 > Step:   44900 Progress: 44.9% Elapsed: 8:59:01 temperature: no ada_p: No Discriminator_loss: 0.52044 Generator_loss: 0.680494 
[INFO] 2021-01-15 21:17:00 > Step:   45000 Progress: 45.0% Elapsed: 9:00:06 temperature: no ada_p: No Discriminator_loss: 0.72143 Generator_loss: 0.800279 
[INFO] 2021-01-15 21:18:05 > Step:   45100 Progress: 45.1% Elapsed: 9:01:11 temperature: no ada_p: No Discriminator_loss: 0.517729 Generator_loss: 0.857639 
[INFO] 2021-01-15 21:19:10 > Step:   45200 Progress: 45.2% Elapsed: 9:02:16 temperature: no ada_p: No Discriminator_loss: 0.499471 Generator_loss: 0.80803 
[INFO] 2021-01-15 21:20:17 > Step:   45300 Progress: 45.3% Elapsed: 9:03:22 temperature: no ada_p: No Discriminator_loss: 0.773241 Generator_loss: 0.71453 
[INFO] 2021-01-15 21:21:22 > Step:   45400 Progress: 45.4% Elapsed: 9:04:27 temperature: no ada_p: No Discriminator_loss: 0.630572 Generator_loss: 0.934502 
[INFO] 2021-01-15 21:22:27 > Step:   45500 Progress: 45.5% Elapsed: 9:05:32 temperature: no ada_p: No Discriminator_loss: 0.424573 Generator_loss: 0.87058 
[INFO] 2021-01-15 21:23:32 > Step:   45600 Progress: 45.6% Elapsed: 9:06:37 temperature: no ada_p: No Discriminator_loss: 0.568312 Generator_loss: 0.939538 
[INFO] 2021-01-15 21:24:38 > Step:   45700 Progress: 45.7% Elapsed: 9:07:44 temperature: no ada_p: No Discriminator_loss: 0.839247 Generator_loss: 0.606929 
[INFO] 2021-01-15 21:25:43 > Step:   45800 Progress: 45.8% Elapsed: 9:08:49 temperature: no ada_p: No Discriminator_loss: 0.395718 Generator_loss: 1.17873 
[INFO] 2021-01-15 21:26:48 > Step:   45900 Progress: 45.9% Elapsed: 9:09:54 temperature: no ada_p: No Discriminator_loss: 0.810556 Generator_loss: 0.765321 
[INFO] 2021-01-15 21:27:53 > Step:   46000 Progress: 46.0% Elapsed: 9:10:59 temperature: no ada_p: No Discriminator_loss: 0.425854 Generator_loss: 0.879093 
[INFO] 2021-01-15 21:27:53 > Start Evaluation (46000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:27:53 > Calculating FID Score....
[INFO] 2021-01-15 21:28:19 > Calculating Inception Score....
[INFO] 2021-01-15 21:28:35 > Calculate F_beta Score....
[INFO] 2021-01-15 21:29:46 > Calculate Accuracies....
[INFO] 2021-01-15 21:29:54 > Calculate Accuracies....
[INFO] 2021-01-15 21:30:09 > F_8 score (Step: 46000, Using valid images): 0.670140457128573
[INFO] 2021-01-15 21:30:09 > F_1/8 score (Step: 46000, Using valid images): 0.8904491027330341
[INFO] 2021-01-15 21:30:09 > FID score (Step: 46000, Using valid moments): 56.26914409071725
[INFO] 2021-01-15 21:30:09 > Inception score (Step: 46000, 10000 generated images): 8.189615249633789
[INFO] 2021-01-15 21:30:09 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 21:30:10 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:31:16 > Step:   46100 Progress: 46.1% Elapsed: 9:14:21 temperature: no ada_p: No Discriminator_loss: 0.612544 Generator_loss: 0.847416 
[INFO] 2021-01-15 21:32:21 > Step:   46200 Progress: 46.2% Elapsed: 9:15:27 temperature: no ada_p: No Discriminator_loss: 0.544196 Generator_loss: 0.823016 
[INFO] 2021-01-15 21:33:26 > Step:   46300 Progress: 46.3% Elapsed: 9:16:32 temperature: no ada_p: No Discriminator_loss: 0.45119 Generator_loss: 1.04177 
[INFO] 2021-01-15 21:34:31 > Step:   46400 Progress: 46.4% Elapsed: 9:17:37 temperature: no ada_p: No Discriminator_loss: 0.571556 Generator_loss: 0.915371 
[INFO] 2021-01-15 21:35:37 > Step:   46500 Progress: 46.5% Elapsed: 9:18:43 temperature: no ada_p: No Discriminator_loss: 0.439638 Generator_loss: 0.916899 
[INFO] 2021-01-15 21:36:42 > Step:   46600 Progress: 46.6% Elapsed: 9:19:48 temperature: no ada_p: No Discriminator_loss: 0.586025 Generator_loss: 0.835799 
[INFO] 2021-01-15 21:37:47 > Step:   46700 Progress: 46.7% Elapsed: 9:20:53 temperature: no ada_p: No Discriminator_loss: 0.61728 Generator_loss: 0.897233 
[INFO] 2021-01-15 21:38:52 > Step:   46800 Progress: 46.8% Elapsed: 9:21:58 temperature: no ada_p: No Discriminator_loss: 0.467188 Generator_loss: 0.970004 
[INFO] 2021-01-15 21:39:58 > Step:   46900 Progress: 46.9% Elapsed: 9:23:04 temperature: no ada_p: No Discriminator_loss: 0.489363 Generator_loss: 0.98331 
[INFO] 2021-01-15 21:41:03 > Step:   47000 Progress: 47.0% Elapsed: 9:24:09 temperature: no ada_p: No Discriminator_loss: 0.657271 Generator_loss: 0.850782 
[INFO] 2021-01-15 21:42:08 > Step:   47100 Progress: 47.1% Elapsed: 9:25:14 temperature: no ada_p: No Discriminator_loss: 0.52964 Generator_loss: 0.529402 
[INFO] 2021-01-15 21:43:15 > Step:   47200 Progress: 47.2% Elapsed: 9:26:20 temperature: no ada_p: No Discriminator_loss: 0.446808 Generator_loss: 0.967276 
[INFO] 2021-01-15 21:44:20 > Step:   47300 Progress: 47.3% Elapsed: 9:27:25 temperature: no ada_p: No Discriminator_loss: 0.381043 Generator_loss: 1.17585 
[INFO] 2021-01-15 21:45:25 > Step:   47400 Progress: 47.4% Elapsed: 9:28:30 temperature: no ada_p: No Discriminator_loss: 0.558573 Generator_loss: 0.955966 
[INFO] 2021-01-15 21:46:30 > Step:   47500 Progress: 47.5% Elapsed: 9:29:35 temperature: no ada_p: No Discriminator_loss: 0.537944 Generator_loss: 0.972183 
[INFO] 2021-01-15 21:47:36 > Step:   47600 Progress: 47.6% Elapsed: 9:30:41 temperature: no ada_p: No Discriminator_loss: 0.54822 Generator_loss: 0.89902 
[INFO] 2021-01-15 21:48:41 > Step:   47700 Progress: 47.7% Elapsed: 9:31:46 temperature: no ada_p: No Discriminator_loss: 0.636437 Generator_loss: 0.900912 
[INFO] 2021-01-15 21:49:46 > Step:   47800 Progress: 47.8% Elapsed: 9:32:51 temperature: no ada_p: No Discriminator_loss: 0.711887 Generator_loss: 0.79399 
[INFO] 2021-01-15 21:50:51 > Step:   47900 Progress: 47.9% Elapsed: 9:33:56 temperature: no ada_p: No Discriminator_loss: 0.710885 Generator_loss: 0.891322 
[INFO] 2021-01-15 21:51:57 > Step:   48000 Progress: 48.0% Elapsed: 9:35:02 temperature: no ada_p: No Discriminator_loss: 0.5158 Generator_loss: 0.89947 
[INFO] 2021-01-15 21:51:57 > Start Evaluation (48000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:51:57 > Calculating FID Score....
[INFO] 2021-01-15 21:52:23 > Calculating Inception Score....
[INFO] 2021-01-15 21:52:38 > Calculate F_beta Score....
[INFO] 2021-01-15 21:53:50 > Calculate Accuracies....
[INFO] 2021-01-15 21:53:57 > Calculate Accuracies....
[INFO] 2021-01-15 21:54:12 > F_8 score (Step: 48000, Using valid images): 0.6898901102969638
[INFO] 2021-01-15 21:54:12 > F_1/8 score (Step: 48000, Using valid images): 0.8301338014199938
[INFO] 2021-01-15 21:54:12 > FID score (Step: 48000, Using valid moments): 57.06926716968235
[INFO] 2021-01-15 21:54:12 > Inception score (Step: 48000, 10000 generated images): 8.274651527404785
[INFO] 2021-01-15 21:54:12 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 21:54:13 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 21:55:18 > Step:   48100 Progress: 48.1% Elapsed: 9:38:24 temperature: no ada_p: No Discriminator_loss: 0.486319 Generator_loss: 0.983873 
[INFO] 2021-01-15 21:56:23 > Step:   48200 Progress: 48.2% Elapsed: 9:39:29 temperature: no ada_p: No Discriminator_loss: 1.19173 Generator_loss: 0.482817 
[INFO] 2021-01-15 21:57:28 > Step:   48300 Progress: 48.3% Elapsed: 9:40:34 temperature: no ada_p: No Discriminator_loss: 0.481333 Generator_loss: 1.05813 
[INFO] 2021-01-15 21:58:34 > Step:   48400 Progress: 48.4% Elapsed: 9:41:40 temperature: no ada_p: No Discriminator_loss: 0.435874 Generator_loss: 0.858108 
[INFO] 2021-01-15 21:59:39 > Step:   48500 Progress: 48.5% Elapsed: 9:42:45 temperature: no ada_p: No Discriminator_loss: 0.386436 Generator_loss: 1.27217 
[INFO] 2021-01-15 22:00:44 > Step:   48600 Progress: 48.6% Elapsed: 9:43:50 temperature: no ada_p: No Discriminator_loss: 0.43586 Generator_loss: 1.163 
[INFO] 2021-01-15 22:01:49 > Step:   48700 Progress: 48.7% Elapsed: 9:44:55 temperature: no ada_p: No Discriminator_loss: 0.441855 Generator_loss: 0.983344 
[INFO] 2021-01-15 22:02:55 > Step:   48800 Progress: 48.8% Elapsed: 9:46:01 temperature: no ada_p: No Discriminator_loss: 0.638061 Generator_loss: 0.929782 
[INFO] 2021-01-15 22:04:00 > Step:   48900 Progress: 48.9% Elapsed: 9:47:06 temperature: no ada_p: No Discriminator_loss: 0.479804 Generator_loss: 0.993625 
[INFO] 2021-01-15 22:05:05 > Step:   49000 Progress: 49.0% Elapsed: 9:48:11 temperature: no ada_p: No Discriminator_loss: 0.605096 Generator_loss: 0.687941 
[INFO] 2021-01-15 22:06:10 > Step:   49100 Progress: 49.1% Elapsed: 9:49:16 temperature: no ada_p: No Discriminator_loss: 0.570973 Generator_loss: 0.976068 
[INFO] 2021-01-15 22:07:16 > Step:   49200 Progress: 49.2% Elapsed: 9:50:22 temperature: no ada_p: No Discriminator_loss: 0.443411 Generator_loss: 0.996494 
[INFO] 2021-01-15 22:08:21 > Step:   49300 Progress: 49.3% Elapsed: 9:51:27 temperature: no ada_p: No Discriminator_loss: 0.514873 Generator_loss: 0.837921 
[INFO] 2021-01-15 22:09:26 > Step:   49400 Progress: 49.4% Elapsed: 9:52:32 temperature: no ada_p: No Discriminator_loss: 0.595628 Generator_loss: 2.13983 
[INFO] 2021-01-15 22:10:31 > Step:   49500 Progress: 49.5% Elapsed: 9:53:37 temperature: no ada_p: No Discriminator_loss: 0.437206 Generator_loss: 2.12098 
[INFO] 2021-01-15 22:11:37 > Step:   49600 Progress: 49.6% Elapsed: 9:54:43 temperature: no ada_p: No Discriminator_loss: 0.468389 Generator_loss: 2.17385 
[INFO] 2021-01-15 22:12:42 > Step:   49700 Progress: 49.7% Elapsed: 9:55:48 temperature: no ada_p: No Discriminator_loss: 0.637055 Generator_loss: 2.26791 
[INFO] 2021-01-15 22:13:47 > Step:   49800 Progress: 49.8% Elapsed: 9:56:53 temperature: no ada_p: No Discriminator_loss: 0.569808 Generator_loss: 2.2009 
[INFO] 2021-01-15 22:14:52 > Step:   49900 Progress: 49.9% Elapsed: 9:57:58 temperature: no ada_p: No Discriminator_loss: 0.322346 Generator_loss: 2.22542 
[INFO] 2021-01-15 22:15:58 > Step:   50000 Progress: 50.0% Elapsed: 9:59:04 temperature: no ada_p: No Discriminator_loss: 0.419913 Generator_loss: 1.84262 
[INFO] 2021-01-15 22:15:58 > Start Evaluation (50000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 22:15:58 > Calculating FID Score....
[INFO] 2021-01-15 22:16:24 > Calculating Inception Score....
[INFO] 2021-01-15 22:16:39 > Calculate F_beta Score....
[INFO] 2021-01-15 22:17:50 > Calculate Accuracies....
[INFO] 2021-01-15 22:17:57 > Calculate Accuracies....
[INFO] 2021-01-15 22:18:12 > F_8 score (Step: 50000, Using valid images): 0.6812608440630994
[INFO] 2021-01-15 22:18:12 > F_1/8 score (Step: 50000, Using valid images): 0.8888092301338356
[INFO] 2021-01-15 22:18:12 > FID score (Step: 50000, Using valid moments): 52.91562853386233
[INFO] 2021-01-15 22:18:12 > Inception score (Step: 50000, 10000 generated images): 8.034444808959961
[INFO] 2021-01-15 22:18:12 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 22:18:14 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 22:19:18 > Step:   50100 Progress: 50.1% Elapsed: 10:02:24 temperature: no ada_p: No Discriminator_loss: 0.431963 Generator_loss: 2.02467 
[INFO] 2021-01-15 22:20:23 > Step:   50200 Progress: 50.2% Elapsed: 10:03:29 temperature: no ada_p: No Discriminator_loss: 0.479516 Generator_loss: 1.99531 
[INFO] 2021-01-15 22:21:28 > Step:   50300 Progress: 50.3% Elapsed: 10:04:34 temperature: no ada_p: No Discriminator_loss: 0.64444 Generator_loss: 2.10486 
[INFO] 2021-01-15 22:22:34 > Step:   50400 Progress: 50.4% Elapsed: 10:05:40 temperature: no ada_p: No Discriminator_loss: 0.564546 Generator_loss: 2.1671 
[INFO] 2021-01-15 22:23:39 > Step:   50500 Progress: 50.5% Elapsed: 10:06:45 temperature: no ada_p: No Discriminator_loss: 0.620036 Generator_loss: 2.35999 
[INFO] 2021-01-15 22:24:44 > Step:   50600 Progress: 50.6% Elapsed: 10:07:50 temperature: no ada_p: No Discriminator_loss: 0.554622 Generator_loss: 2.32626 
[INFO] 2021-01-15 22:25:49 > Step:   50700 Progress: 50.7% Elapsed: 10:08:55 temperature: no ada_p: No Discriminator_loss: 0.40446 Generator_loss: 2.00833 
[INFO] 2021-01-15 22:26:56 > Step:   50800 Progress: 50.8% Elapsed: 10:10:01 temperature: no ada_p: No Discriminator_loss: 0.45649 Generator_loss: 2.20649 
[INFO] 2021-01-15 22:28:01 > Step:   50900 Progress: 50.9% Elapsed: 10:11:06 temperature: no ada_p: No Discriminator_loss: 0.435325 Generator_loss: 2.0141 
[INFO] 2021-01-15 22:29:06 > Step:   51000 Progress: 51.0% Elapsed: 10:12:11 temperature: no ada_p: No Discriminator_loss: 0.843595 Generator_loss: 2.07782 
[INFO] 2021-01-15 22:30:12 > Step:   51100 Progress: 51.1% Elapsed: 10:13:18 temperature: no ada_p: No Discriminator_loss: 0.55681 Generator_loss: 2.32769 
[INFO] 2021-01-15 22:31:17 > Step:   51200 Progress: 51.2% Elapsed: 10:14:23 temperature: no ada_p: No Discriminator_loss: 0.507908 Generator_loss: 2.05552 
[INFO] 2021-01-15 22:32:22 > Step:   51300 Progress: 51.3% Elapsed: 10:15:28 temperature: no ada_p: No Discriminator_loss: 0.562925 Generator_loss: 2.38496 
[INFO] 2021-01-15 22:33:27 > Step:   51400 Progress: 51.4% Elapsed: 10:16:33 temperature: no ada_p: No Discriminator_loss: 0.463048 Generator_loss: 2.21373 
[INFO] 2021-01-15 22:34:33 > Step:   51500 Progress: 51.5% Elapsed: 10:17:39 temperature: no ada_p: No Discriminator_loss: 0.426365 Generator_loss: 2.26736 
[INFO] 2021-01-15 22:35:38 > Step:   51600 Progress: 51.6% Elapsed: 10:18:44 temperature: no ada_p: No Discriminator_loss: 0.398224 Generator_loss: 1.87842 
[INFO] 2021-01-15 22:36:43 > Step:   51700 Progress: 51.7% Elapsed: 10:19:49 temperature: no ada_p: No Discriminator_loss: 0.612169 Generator_loss: 2.0012 
[INFO] 2021-01-15 22:37:48 > Step:   51800 Progress: 51.8% Elapsed: 10:20:54 temperature: no ada_p: No Discriminator_loss: 0.554688 Generator_loss: 2.20269 
[INFO] 2021-01-15 22:38:55 > Step:   51900 Progress: 51.9% Elapsed: 10:22:00 temperature: no ada_p: No Discriminator_loss: 0.497734 Generator_loss: 2.22829 
[INFO] 2021-01-15 22:40:00 > Step:   52000 Progress: 52.0% Elapsed: 10:23:05 temperature: no ada_p: No Discriminator_loss: 0.556916 Generator_loss: 2.10521 
[INFO] 2021-01-15 22:40:00 > Start Evaluation (52000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 22:40:00 > Calculating FID Score....
[INFO] 2021-01-15 22:40:25 > Calculating Inception Score....
[INFO] 2021-01-15 22:40:41 > Calculate F_beta Score....
[INFO] 2021-01-15 22:41:52 > Calculate Accuracies....
[INFO] 2021-01-15 22:41:59 > Calculate Accuracies....
[INFO] 2021-01-15 22:42:14 > F_8 score (Step: 52000, Using valid images): 0.6768479578891063
[INFO] 2021-01-15 22:42:14 > F_1/8 score (Step: 52000, Using valid images): 0.8708904375937208
[INFO] 2021-01-15 22:42:14 > FID score (Step: 52000, Using valid moments): 56.76211143108907
[INFO] 2021-01-15 22:42:14 > Inception score (Step: 52000, 10000 generated images): 8.088065147399902
[INFO] 2021-01-15 22:42:14 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 22:42:15 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 22:43:20 > Step:   52100 Progress: 52.1% Elapsed: 10:26:26 temperature: no ada_p: No Discriminator_loss: 0.362257 Generator_loss: 2.39219 
[INFO] 2021-01-15 22:44:25 > Step:   52200 Progress: 52.2% Elapsed: 10:27:31 temperature: no ada_p: No Discriminator_loss: 0.423503 Generator_loss: 2.50921 
[INFO] 2021-01-15 22:45:31 > Step:   52300 Progress: 52.3% Elapsed: 10:28:37 temperature: no ada_p: No Discriminator_loss: 0.318646 Generator_loss: 2.16641 
[INFO] 2021-01-15 22:46:36 > Step:   52400 Progress: 52.4% Elapsed: 10:29:42 temperature: no ada_p: No Discriminator_loss: 0.2599 Generator_loss: 1.8526 
[INFO] 2021-01-15 22:47:41 > Step:   52500 Progress: 52.5% Elapsed: 10:30:47 temperature: no ada_p: No Discriminator_loss: 0.480908 Generator_loss: 1.97937 
[INFO] 2021-01-15 22:48:46 > Step:   52600 Progress: 52.6% Elapsed: 10:31:52 temperature: no ada_p: No Discriminator_loss: 0.718941 Generator_loss: 2.29968 
[INFO] 2021-01-15 22:49:52 > Step:   52700 Progress: 52.7% Elapsed: 10:32:58 temperature: no ada_p: No Discriminator_loss: 0.527776 Generator_loss: 2.09955 
[INFO] 2021-01-15 22:50:57 > Step:   52800 Progress: 52.8% Elapsed: 10:34:03 temperature: no ada_p: No Discriminator_loss: 0.547984 Generator_loss: 2.28546 
[INFO] 2021-01-15 22:52:02 > Step:   52900 Progress: 52.9% Elapsed: 10:35:08 temperature: no ada_p: No Discriminator_loss: 0.429061 Generator_loss: 2.38215 
[INFO] 2021-01-15 22:53:07 > Step:   53000 Progress: 53.0% Elapsed: 10:36:13 temperature: no ada_p: No Discriminator_loss: 0.658088 Generator_loss: 2.19665 
[INFO] 2021-01-15 22:54:13 > Step:   53100 Progress: 53.1% Elapsed: 10:37:19 temperature: no ada_p: No Discriminator_loss: 0.491148 Generator_loss: 2.43081 
[INFO] 2021-01-15 22:55:18 > Step:   53200 Progress: 53.2% Elapsed: 10:38:24 temperature: no ada_p: No Discriminator_loss: 0.615523 Generator_loss: 1.90955 
[INFO] 2021-01-15 22:56:23 > Step:   53300 Progress: 53.3% Elapsed: 10:39:29 temperature: no ada_p: No Discriminator_loss: 0.394437 Generator_loss: 2.2706 
[INFO] 2021-01-15 22:57:28 > Step:   53400 Progress: 53.4% Elapsed: 10:40:34 temperature: no ada_p: No Discriminator_loss: 0.286026 Generator_loss: 2.16323 
[INFO] 2021-01-15 22:58:34 > Step:   53500 Progress: 53.5% Elapsed: 10:41:40 temperature: no ada_p: No Discriminator_loss: 0.583771 Generator_loss: 2.23849 
[INFO] 2021-01-15 22:59:39 > Step:   53600 Progress: 53.6% Elapsed: 10:42:45 temperature: no ada_p: No Discriminator_loss: 0.620125 Generator_loss: 2.31495 
[INFO] 2021-01-15 23:00:44 > Step:   53700 Progress: 53.7% Elapsed: 10:43:50 temperature: no ada_p: No Discriminator_loss: 0.699998 Generator_loss: 2.13492 
[INFO] 2021-01-15 23:01:49 > Step:   53800 Progress: 53.8% Elapsed: 10:44:55 temperature: no ada_p: No Discriminator_loss: 0.527219 Generator_loss: 2.04817 
[INFO] 2021-01-15 23:02:55 > Step:   53900 Progress: 53.9% Elapsed: 10:46:01 temperature: no ada_p: No Discriminator_loss: 0.34881 Generator_loss: 2.40139 
[INFO] 2021-01-15 23:04:00 > Step:   54000 Progress: 54.0% Elapsed: 10:47:06 temperature: no ada_p: No Discriminator_loss: 0.561008 Generator_loss: 2.13373 
[INFO] 2021-01-15 23:04:00 > Start Evaluation (54000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:04:00 > Calculating FID Score....
[INFO] 2021-01-15 23:04:26 > Calculating Inception Score....
[INFO] 2021-01-15 23:04:42 > Calculate F_beta Score....
[INFO] 2021-01-15 23:05:53 > Calculate Accuracies....
[INFO] 2021-01-15 23:06:01 > Calculate Accuracies....
[INFO] 2021-01-15 23:06:16 > F_8 score (Step: 54000, Using valid images): 0.6699239785060312
[INFO] 2021-01-15 23:06:16 > F_1/8 score (Step: 54000, Using valid images): 0.8937087760870285
[INFO] 2021-01-15 23:06:16 > FID score (Step: 54000, Using valid moments): 54.61024984202254
[INFO] 2021-01-15 23:06:16 > Inception score (Step: 54000, 10000 generated images): 8.248496055603027
[INFO] 2021-01-15 23:06:16 > Best FID score (Step: 36000, Using valid moments): 52.74113913185141
[INFO] 2021-01-15 23:06:17 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:07:22 > Step:   54100 Progress: 54.1% Elapsed: 10:50:27 temperature: no ada_p: No Discriminator_loss: 0.546354 Generator_loss: 2.30638 
[INFO] 2021-01-15 23:08:27 > Step:   54200 Progress: 54.2% Elapsed: 10:51:32 temperature: no ada_p: No Discriminator_loss: 0.783337 Generator_loss: 2.24764 
[INFO] 2021-01-15 23:09:33 > Step:   54300 Progress: 54.3% Elapsed: 10:52:38 temperature: no ada_p: No Discriminator_loss: 0.491979 Generator_loss: 2.00586 
[INFO] 2021-01-15 23:10:38 > Step:   54400 Progress: 54.4% Elapsed: 10:53:43 temperature: no ada_p: No Discriminator_loss: 0.535458 Generator_loss: 2.37588 
[INFO] 2021-01-15 23:11:43 > Step:   54500 Progress: 54.5% Elapsed: 10:54:49 temperature: no ada_p: No Discriminator_loss: 0.452887 Generator_loss: 2.19214 
[INFO] 2021-01-15 23:12:48 > Step:   54600 Progress: 54.6% Elapsed: 10:55:54 temperature: no ada_p: No Discriminator_loss: 0.7662 Generator_loss: 2.23308 
[INFO] 2021-01-15 23:13:54 > Step:   54700 Progress: 54.7% Elapsed: 10:57:00 temperature: no ada_p: No Discriminator_loss: 0.488049 Generator_loss: 2.02731 
[INFO] 2021-01-15 23:14:59 > Step:   54800 Progress: 54.8% Elapsed: 10:58:05 temperature: no ada_p: No Discriminator_loss: 0.43729 Generator_loss: 2.01872 
[INFO] 2021-01-15 23:16:04 > Step:   54900 Progress: 54.9% Elapsed: 10:59:10 temperature: no ada_p: No Discriminator_loss: 0.392537 Generator_loss: 2.02629 
[INFO] 2021-01-15 23:17:11 > Step:   55000 Progress: 55.0% Elapsed: 11:00:16 temperature: no ada_p: No Discriminator_loss: 0.373923 Generator_loss: 1.89579 
[INFO] 2021-01-15 23:18:16 > Step:   55100 Progress: 55.1% Elapsed: 11:01:21 temperature: no ada_p: No Discriminator_loss: 0.504691 Generator_loss: 1.94155 
[INFO] 2021-01-15 23:19:21 > Step:   55200 Progress: 55.2% Elapsed: 11:02:26 temperature: no ada_p: No Discriminator_loss: 0.440624 Generator_loss: 2.07378 
[INFO] 2021-01-15 23:20:26 > Step:   55300 Progress: 55.3% Elapsed: 11:03:31 temperature: no ada_p: No Discriminator_loss: 0.481351 Generator_loss: 2.22607 
[INFO] 2021-01-15 23:21:32 > Step:   55400 Progress: 55.4% Elapsed: 11:04:38 temperature: no ada_p: No Discriminator_loss: 0.395478 Generator_loss: 2.12627 
[INFO] 2021-01-15 23:22:37 > Step:   55500 Progress: 55.5% Elapsed: 11:05:43 temperature: no ada_p: No Discriminator_loss: 0.692096 Generator_loss: 2.39836 
[INFO] 2021-01-15 23:23:42 > Step:   55600 Progress: 55.6% Elapsed: 11:06:48 temperature: no ada_p: No Discriminator_loss: 0.482072 Generator_loss: 2.24427 
[INFO] 2021-01-15 23:24:47 > Step:   55700 Progress: 55.7% Elapsed: 11:07:53 temperature: no ada_p: No Discriminator_loss: 0.423696 Generator_loss: 2.22839 
[INFO] 2021-01-15 23:25:53 > Step:   55800 Progress: 55.8% Elapsed: 11:08:59 temperature: no ada_p: No Discriminator_loss: 0.481011 Generator_loss: 2.18743 
[INFO] 2021-01-15 23:26:58 > Step:   55900 Progress: 55.9% Elapsed: 11:10:04 temperature: no ada_p: No Discriminator_loss: 0.566625 Generator_loss: 2.2661 
[INFO] 2021-01-15 23:28:03 > Step:   56000 Progress: 56.0% Elapsed: 11:11:09 temperature: no ada_p: No Discriminator_loss: 0.446812 Generator_loss: 2.06727 
[INFO] 2021-01-15 23:28:03 > Start Evaluation (56000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:28:03 > Calculating FID Score....
[INFO] 2021-01-15 23:28:29 > Calculating Inception Score....
[INFO] 2021-01-15 23:28:45 > Calculate F_beta Score....
[INFO] 2021-01-15 23:29:56 > Calculate Accuracies....
[INFO] 2021-01-15 23:30:03 > Calculate Accuracies....
[INFO] 2021-01-15 23:30:19 > F_8 score (Step: 56000, Using valid images): 0.6584294724281787
[INFO] 2021-01-15 23:30:19 > F_1/8 score (Step: 56000, Using valid images): 0.8866567141930991
[INFO] 2021-01-15 23:30:19 > FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-15 23:30:19 > Inception score (Step: 56000, 10000 generated images): 8.496176719665527
[INFO] 2021-01-15 23:30:19 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-15 23:30:21 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:31:26 > Step:   56100 Progress: 56.1% Elapsed: 11:14:31 temperature: no ada_p: No Discriminator_loss: 0.73409 Generator_loss: 2.44458 
[INFO] 2021-01-15 23:32:32 > Step:   56200 Progress: 56.2% Elapsed: 11:15:37 temperature: no ada_p: No Discriminator_loss: 0.362531 Generator_loss: 2.00208 
[INFO] 2021-01-15 23:33:37 > Step:   56300 Progress: 56.3% Elapsed: 11:16:42 temperature: no ada_p: No Discriminator_loss: 0.557729 Generator_loss: 2.21872 
[INFO] 2021-01-15 23:34:42 > Step:   56400 Progress: 56.4% Elapsed: 11:17:47 temperature: no ada_p: No Discriminator_loss: 0.718026 Generator_loss: 2.07561 
[INFO] 2021-01-15 23:35:47 > Step:   56500 Progress: 56.5% Elapsed: 11:18:52 temperature: no ada_p: No Discriminator_loss: 0.65616 Generator_loss: 2.11982 
[INFO] 2021-01-15 23:36:53 > Step:   56600 Progress: 56.6% Elapsed: 11:19:59 temperature: no ada_p: No Discriminator_loss: 0.445638 Generator_loss: 2.19152 
[INFO] 2021-01-15 23:37:58 > Step:   56700 Progress: 56.7% Elapsed: 11:21:03 temperature: no ada_p: No Discriminator_loss: 0.529538 Generator_loss: 2.31059 
[INFO] 2021-01-15 23:39:03 > Step:   56800 Progress: 56.8% Elapsed: 11:22:08 temperature: no ada_p: No Discriminator_loss: 0.470204 Generator_loss: 2.11178 
[INFO] 2021-01-15 23:40:08 > Step:   56900 Progress: 56.9% Elapsed: 11:23:13 temperature: no ada_p: No Discriminator_loss: 0.354564 Generator_loss: 1.86078 
[INFO] 2021-01-15 23:41:14 > Step:   57000 Progress: 57.0% Elapsed: 11:24:20 temperature: no ada_p: No Discriminator_loss: 0.328845 Generator_loss: 2.24323 
[INFO] 2021-01-15 23:42:19 > Step:   57100 Progress: 57.1% Elapsed: 11:25:25 temperature: no ada_p: No Discriminator_loss: 0.54454 Generator_loss: 2.26814 
[INFO] 2021-01-15 23:43:24 > Step:   57200 Progress: 57.2% Elapsed: 11:26:30 temperature: no ada_p: No Discriminator_loss: 0.287284 Generator_loss: 2.20803 
[INFO] 2021-01-15 23:44:29 > Step:   57300 Progress: 57.3% Elapsed: 11:27:35 temperature: no ada_p: No Discriminator_loss: 0.557069 Generator_loss: 2.17399 
[INFO] 2021-01-15 23:45:35 > Step:   57400 Progress: 57.4% Elapsed: 11:28:41 temperature: no ada_p: No Discriminator_loss: 0.421014 Generator_loss: 2.38312 
[INFO] 2021-01-15 23:46:40 > Step:   57500 Progress: 57.5% Elapsed: 11:29:46 temperature: no ada_p: No Discriminator_loss: 0.304295 Generator_loss: 2.21887 
[INFO] 2021-01-15 23:47:45 > Step:   57600 Progress: 57.6% Elapsed: 11:30:51 temperature: no ada_p: No Discriminator_loss: 0.627085 Generator_loss: 2.39335 
[INFO] 2021-01-15 23:48:50 > Step:   57700 Progress: 57.7% Elapsed: 11:31:56 temperature: no ada_p: No Discriminator_loss: 0.381529 Generator_loss: 2.08223 
[INFO] 2021-01-15 23:49:56 > Step:   57800 Progress: 57.8% Elapsed: 11:33:02 temperature: no ada_p: No Discriminator_loss: 0.449185 Generator_loss: 2.39919 
[INFO] 2021-01-15 23:51:01 > Step:   57900 Progress: 57.9% Elapsed: 11:34:07 temperature: no ada_p: No Discriminator_loss: 0.381301 Generator_loss: 2.22001 
[INFO] 2021-01-15 23:52:06 > Step:   58000 Progress: 58.0% Elapsed: 11:35:12 temperature: no ada_p: No Discriminator_loss: 0.281294 Generator_loss: 1.97902 
[INFO] 2021-01-15 23:52:07 > Start Evaluation (58000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:52:07 > Calculating FID Score....
[INFO] 2021-01-15 23:52:32 > Calculating Inception Score....
[INFO] 2021-01-15 23:52:48 > Calculate F_beta Score....
[INFO] 2021-01-15 23:53:59 > Calculate Accuracies....
[INFO] 2021-01-15 23:54:06 > Calculate Accuracies....
[INFO] 2021-01-15 23:54:21 > F_8 score (Step: 58000, Using valid images): 0.6899474560762279
[INFO] 2021-01-15 23:54:21 > F_1/8 score (Step: 58000, Using valid images): 0.8795791179585409
[INFO] 2021-01-15 23:54:21 > FID score (Step: 58000, Using valid moments): 55.30491461769134
[INFO] 2021-01-15 23:54:21 > Inception score (Step: 58000, 10000 generated images): 8.080754280090332
[INFO] 2021-01-15 23:54:21 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-15 23:54:23 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-15 23:55:27 > Step:   58100 Progress: 58.1% Elapsed: 11:38:33 temperature: no ada_p: No Discriminator_loss: 0.530677 Generator_loss: 2.2058 
[INFO] 2021-01-15 23:56:34 > Step:   58200 Progress: 58.2% Elapsed: 11:39:39 temperature: no ada_p: No Discriminator_loss: 0.374222 Generator_loss: 2.42084 
[INFO] 2021-01-15 23:57:39 > Step:   58300 Progress: 58.3% Elapsed: 11:40:44 temperature: no ada_p: No Discriminator_loss: 0.405329 Generator_loss: 2.27396 
[INFO] 2021-01-15 23:58:44 > Step:   58400 Progress: 58.4% Elapsed: 11:41:49 temperature: no ada_p: No Discriminator_loss: 0.412567 Generator_loss: 2.01136 
[INFO] 2021-01-15 23:59:49 > Step:   58500 Progress: 58.5% Elapsed: 11:42:54 temperature: no ada_p: No Discriminator_loss: 0.576441 Generator_loss: 2.36984 
[INFO] 2021-01-16 00:00:55 > Step:   58600 Progress: 58.6% Elapsed: 11:44:00 temperature: no ada_p: No Discriminator_loss: 0.36882 Generator_loss: 2.25411 
[INFO] 2021-01-16 00:02:00 > Step:   58700 Progress: 58.7% Elapsed: 11:45:05 temperature: no ada_p: No Discriminator_loss: 0.630235 Generator_loss: 2.0958 
[INFO] 2021-01-16 00:03:05 > Step:   58800 Progress: 58.8% Elapsed: 11:46:10 temperature: no ada_p: No Discriminator_loss: 0.39944 Generator_loss: 2.26735 
[INFO] 2021-01-16 00:04:11 > Step:   58900 Progress: 58.9% Elapsed: 11:47:17 temperature: no ada_p: No Discriminator_loss: 0.350776 Generator_loss: 2.42556 
[INFO] 2021-01-16 00:05:16 > Step:   59000 Progress: 59.0% Elapsed: 11:48:21 temperature: no ada_p: No Discriminator_loss: 0.447233 Generator_loss: 2.25601 
[INFO] 2021-01-16 00:06:21 > Step:   59100 Progress: 59.1% Elapsed: 11:49:26 temperature: no ada_p: No Discriminator_loss: 0.562029 Generator_loss: 2.33306 
[INFO] 2021-01-16 00:07:26 > Step:   59200 Progress: 59.2% Elapsed: 11:50:31 temperature: no ada_p: No Discriminator_loss: 0.370374 Generator_loss: 1.95849 
[INFO] 2021-01-16 00:08:32 > Step:   59300 Progress: 59.3% Elapsed: 11:51:38 temperature: no ada_p: No Discriminator_loss: 0.468309 Generator_loss: 2.25992 
[INFO] 2021-01-16 00:09:37 > Step:   59400 Progress: 59.4% Elapsed: 11:52:42 temperature: no ada_p: No Discriminator_loss: 0.378702 Generator_loss: 2.25627 
[INFO] 2021-01-16 00:10:42 > Step:   59500 Progress: 59.5% Elapsed: 11:53:47 temperature: no ada_p: No Discriminator_loss: 0.320956 Generator_loss: 2.2745 
[INFO] 2021-01-16 00:11:47 > Step:   59600 Progress: 59.6% Elapsed: 11:54:52 temperature: no ada_p: No Discriminator_loss: 0.31256 Generator_loss: 2.22317 
[INFO] 2021-01-16 00:12:53 > Step:   59700 Progress: 59.7% Elapsed: 11:55:58 temperature: no ada_p: No Discriminator_loss: 0.443523 Generator_loss: 2.16782 
[INFO] 2021-01-16 00:13:58 > Step:   59800 Progress: 59.8% Elapsed: 11:57:03 temperature: no ada_p: No Discriminator_loss: 0.407657 Generator_loss: 2.40639 
[INFO] 2021-01-16 00:15:03 > Step:   59900 Progress: 59.9% Elapsed: 11:58:08 temperature: no ada_p: No Discriminator_loss: 0.969239 Generator_loss: 2.08338 
[INFO] 2021-01-16 00:16:08 > Step:   60000 Progress: 60.0% Elapsed: 11:59:13 temperature: no ada_p: No Discriminator_loss: 0.658894 Generator_loss: 2.19452 
[INFO] 2021-01-16 00:16:08 > Start Evaluation (60000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 00:16:08 > Calculating FID Score....
[INFO] 2021-01-16 00:16:33 > Calculating Inception Score....
[INFO] 2021-01-16 00:16:49 > Calculate F_beta Score....
[INFO] 2021-01-16 00:18:01 > Calculate Accuracies....
[INFO] 2021-01-16 00:18:08 > Calculate Accuracies....
[INFO] 2021-01-16 00:18:23 > F_8 score (Step: 60000, Using valid images): 0.6662045991161354
[INFO] 2021-01-16 00:18:23 > F_1/8 score (Step: 60000, Using valid images): 0.8539607365475427
[INFO] 2021-01-16 00:18:23 > FID score (Step: 60000, Using valid moments): 58.38543576010687
[INFO] 2021-01-16 00:18:23 > Inception score (Step: 60000, 10000 generated images): 8.217617988586426
[INFO] 2021-01-16 00:18:23 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 00:18:25 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 00:19:30 > Step:   60100 Progress: 60.1% Elapsed: 12:02:36 temperature: no ada_p: No Discriminator_loss: 0.679748 Generator_loss: 2.25349 
[INFO] 2021-01-16 00:20:35 > Step:   60200 Progress: 60.2% Elapsed: 12:03:41 temperature: no ada_p: No Discriminator_loss: 0.21526 Generator_loss: 2.24298 
[INFO] 2021-01-16 00:21:40 > Step:   60300 Progress: 60.3% Elapsed: 12:04:46 temperature: no ada_p: No Discriminator_loss: 0.520366 Generator_loss: 1.97944 
[INFO] 2021-01-16 00:22:45 > Step:   60400 Progress: 60.4% Elapsed: 12:05:51 temperature: no ada_p: No Discriminator_loss: 0.249199 Generator_loss: 2.24624 
[INFO] 2021-01-16 00:23:52 > Step:   60500 Progress: 60.5% Elapsed: 12:06:57 temperature: no ada_p: No Discriminator_loss: 0.445949 Generator_loss: 2.48755 
[INFO] 2021-01-16 00:24:57 > Step:   60600 Progress: 60.6% Elapsed: 12:08:02 temperature: no ada_p: No Discriminator_loss: 0.349007 Generator_loss: 2.25635 
[INFO] 2021-01-16 00:26:02 > Step:   60700 Progress: 60.7% Elapsed: 12:09:07 temperature: no ada_p: No Discriminator_loss: 0.321304 Generator_loss: 2.12402 
[INFO] 2021-01-16 00:27:07 > Step:   60800 Progress: 60.8% Elapsed: 12:10:12 temperature: no ada_p: No Discriminator_loss: 0.368604 Generator_loss: 2.0903 
[INFO] 2021-01-16 00:28:13 > Step:   60900 Progress: 60.9% Elapsed: 12:11:19 temperature: no ada_p: No Discriminator_loss: 0.640394 Generator_loss: 2.20054 
[INFO] 2021-01-16 00:29:18 > Step:   61000 Progress: 61.0% Elapsed: 12:12:24 temperature: no ada_p: No Discriminator_loss: 0.28611 Generator_loss: 2.30503 
[INFO] 2021-01-16 00:30:23 > Step:   61100 Progress: 61.1% Elapsed: 12:13:29 temperature: no ada_p: No Discriminator_loss: 0.304479 Generator_loss: 2.1375 
[INFO] 2021-01-16 00:31:28 > Step:   61200 Progress: 61.2% Elapsed: 12:14:34 temperature: no ada_p: No Discriminator_loss: 0.508745 Generator_loss: 2.40183 
[INFO] 2021-01-16 00:32:34 > Step:   61300 Progress: 61.3% Elapsed: 12:15:40 temperature: no ada_p: No Discriminator_loss: 0.271271 Generator_loss: 2.0536 
[INFO] 2021-01-16 00:33:39 > Step:   61400 Progress: 61.4% Elapsed: 12:16:45 temperature: no ada_p: No Discriminator_loss: 0.307042 Generator_loss: 2.42324 
[INFO] 2021-01-16 00:34:44 > Step:   61500 Progress: 61.5% Elapsed: 12:17:50 temperature: no ada_p: No Discriminator_loss: 0.330894 Generator_loss: 2.04081 
[INFO] 2021-01-16 00:35:49 > Step:   61600 Progress: 61.6% Elapsed: 12:18:55 temperature: no ada_p: No Discriminator_loss: 0.377585 Generator_loss: 2.53161 
[INFO] 2021-01-16 00:36:56 > Step:   61700 Progress: 61.7% Elapsed: 12:20:01 temperature: no ada_p: No Discriminator_loss: 0.647605 Generator_loss: 2.51336 
[INFO] 2021-01-16 00:38:01 > Step:   61800 Progress: 61.8% Elapsed: 12:21:06 temperature: no ada_p: No Discriminator_loss: 0.696643 Generator_loss: 2.23344 
[INFO] 2021-01-16 00:39:06 > Step:   61900 Progress: 61.9% Elapsed: 12:22:11 temperature: no ada_p: No Discriminator_loss: 0.16094 Generator_loss: 2.47701 
[INFO] 2021-01-16 00:40:11 > Step:   62000 Progress: 62.0% Elapsed: 12:23:16 temperature: no ada_p: No Discriminator_loss: 0.431043 Generator_loss: 2.27786 
[INFO] 2021-01-16 00:40:11 > Start Evaluation (62000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 00:40:11 > Calculating FID Score....
[INFO] 2021-01-16 00:40:36 > Calculating Inception Score....
[INFO] 2021-01-16 00:40:52 > Calculate F_beta Score....
[INFO] 2021-01-16 00:42:04 > Calculate Accuracies....
[INFO] 2021-01-16 00:42:11 > Calculate Accuracies....
[INFO] 2021-01-16 00:42:26 > F_8 score (Step: 62000, Using valid images): 0.6729679684126656
[INFO] 2021-01-16 00:42:26 > F_1/8 score (Step: 62000, Using valid images): 0.8751305845003602
[INFO] 2021-01-16 00:42:26 > FID score (Step: 62000, Using valid moments): 53.60533093254145
[INFO] 2021-01-16 00:42:26 > Inception score (Step: 62000, 10000 generated images): 8.142022132873535
[INFO] 2021-01-16 00:42:26 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 00:42:27 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 00:43:33 > Step:   62100 Progress: 62.1% Elapsed: 12:26:39 temperature: no ada_p: No Discriminator_loss: 0.659929 Generator_loss: 2.58624 
[INFO] 2021-01-16 00:44:38 > Step:   62200 Progress: 62.2% Elapsed: 12:27:44 temperature: no ada_p: No Discriminator_loss: 0.383181 Generator_loss: 2.15458 
[INFO] 2021-01-16 00:45:43 > Step:   62300 Progress: 62.3% Elapsed: 12:28:49 temperature: no ada_p: No Discriminator_loss: 0.704647 Generator_loss: 2.4438 
[INFO] 2021-01-16 00:46:48 > Step:   62400 Progress: 62.4% Elapsed: 12:29:54 temperature: no ada_p: No Discriminator_loss: 0.72085 Generator_loss: 2.1565 
[INFO] 2021-01-16 00:47:55 > Step:   62500 Progress: 62.5% Elapsed: 12:31:00 temperature: no ada_p: No Discriminator_loss: 0.332663 Generator_loss: 2.32016 
[INFO] 2021-01-16 00:49:00 > Step:   62600 Progress: 62.6% Elapsed: 12:32:05 temperature: no ada_p: No Discriminator_loss: 0.454938 Generator_loss: 2.60905 
[INFO] 2021-01-16 00:50:05 > Step:   62700 Progress: 62.7% Elapsed: 12:33:10 temperature: no ada_p: No Discriminator_loss: 0.473941 Generator_loss: 2.35796 
[INFO] 2021-01-16 00:51:11 > Step:   62800 Progress: 62.8% Elapsed: 12:34:17 temperature: no ada_p: No Discriminator_loss: 0.473346 Generator_loss: 2.55134 
[INFO] 2021-01-16 00:52:16 > Step:   62900 Progress: 62.9% Elapsed: 12:35:22 temperature: no ada_p: No Discriminator_loss: 0.404684 Generator_loss: 2.53298 
[INFO] 2021-01-16 00:53:21 > Step:   63000 Progress: 63.0% Elapsed: 12:36:27 temperature: no ada_p: No Discriminator_loss: 0.408128 Generator_loss: 2.17173 
[INFO] 2021-01-16 00:54:26 > Step:   63100 Progress: 63.1% Elapsed: 12:37:32 temperature: no ada_p: No Discriminator_loss: 0.486851 Generator_loss: 2.24546 
[INFO] 2021-01-16 00:55:32 > Step:   63200 Progress: 63.2% Elapsed: 12:38:38 temperature: no ada_p: No Discriminator_loss: 0.474169 Generator_loss: 2.21955 
[INFO] 2021-01-16 00:56:37 > Step:   63300 Progress: 63.3% Elapsed: 12:39:43 temperature: no ada_p: No Discriminator_loss: 0.322254 Generator_loss: 2.50802 
[INFO] 2021-01-16 00:57:42 > Step:   63400 Progress: 63.4% Elapsed: 12:40:48 temperature: no ada_p: No Discriminator_loss: 0.410524 Generator_loss: 1.81765 
[INFO] 2021-01-16 00:58:47 > Step:   63500 Progress: 63.5% Elapsed: 12:41:53 temperature: no ada_p: No Discriminator_loss: 0.970333 Generator_loss: 2.14648 
[INFO] 2021-01-16 00:59:54 > Step:   63600 Progress: 63.6% Elapsed: 12:42:59 temperature: no ada_p: No Discriminator_loss: 0.661795 Generator_loss: 2.40167 
[INFO] 2021-01-16 01:00:59 > Step:   63700 Progress: 63.7% Elapsed: 12:44:04 temperature: no ada_p: No Discriminator_loss: 0.325674 Generator_loss: 2.04082 
[INFO] 2021-01-16 01:02:04 > Step:   63800 Progress: 63.8% Elapsed: 12:45:09 temperature: no ada_p: No Discriminator_loss: 0.390884 Generator_loss: 2.45561 
[INFO] 2021-01-16 01:03:09 > Step:   63900 Progress: 63.9% Elapsed: 12:46:14 temperature: no ada_p: No Discriminator_loss: 0.324661 Generator_loss: 1.98943 
[INFO] 2021-01-16 01:04:15 > Step:   64000 Progress: 64.0% Elapsed: 12:47:20 temperature: no ada_p: No Discriminator_loss: 0.375653 Generator_loss: 2.31372 
[INFO] 2021-01-16 01:04:15 > Start Evaluation (64000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:04:15 > Calculating FID Score....
[INFO] 2021-01-16 01:04:41 > Calculating Inception Score....
[INFO] 2021-01-16 01:04:56 > Calculate F_beta Score....
[INFO] 2021-01-16 01:06:07 > Calculate Accuracies....
[INFO] 2021-01-16 01:06:14 > Calculate Accuracies....
[INFO] 2021-01-16 01:06:30 > F_8 score (Step: 64000, Using valid images): 0.6771971383087633
[INFO] 2021-01-16 01:06:30 > F_1/8 score (Step: 64000, Using valid images): 0.8809390052038328
[INFO] 2021-01-16 01:06:30 > FID score (Step: 64000, Using valid moments): 54.269389221502024
[INFO] 2021-01-16 01:06:30 > Inception score (Step: 64000, 10000 generated images): 8.18671989440918
[INFO] 2021-01-16 01:06:30 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 01:06:31 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:07:36 > Step:   64100 Progress: 64.1% Elapsed: 12:50:41 temperature: no ada_p: No Discriminator_loss: 0.498345 Generator_loss: 2.15809 
[INFO] 2021-01-16 01:08:41 > Step:   64200 Progress: 64.2% Elapsed: 12:51:46 temperature: no ada_p: No Discriminator_loss: 0.243869 Generator_loss: 2.29226 
[INFO] 2021-01-16 01:09:46 > Step:   64300 Progress: 64.3% Elapsed: 12:52:51 temperature: no ada_p: No Discriminator_loss: 0.48526 Generator_loss: 2.33854 
[INFO] 2021-01-16 01:10:52 > Step:   64400 Progress: 64.4% Elapsed: 12:53:57 temperature: no ada_p: No Discriminator_loss: 0.53074 Generator_loss: 2.16916 
[INFO] 2021-01-16 01:11:57 > Step:   64500 Progress: 64.5% Elapsed: 12:55:02 temperature: no ada_p: No Discriminator_loss: 0.460754 Generator_loss: 2.35549 
[INFO] 2021-01-16 01:13:02 > Step:   64600 Progress: 64.6% Elapsed: 12:56:07 temperature: no ada_p: No Discriminator_loss: 0.579938 Generator_loss: 2.76143 
[INFO] 2021-01-16 01:14:07 > Step:   64700 Progress: 64.7% Elapsed: 12:57:12 temperature: no ada_p: No Discriminator_loss: 0.383917 Generator_loss: 2.29098 
[INFO] 2021-01-16 01:15:13 > Step:   64800 Progress: 64.8% Elapsed: 12:58:19 temperature: no ada_p: No Discriminator_loss: 0.266414 Generator_loss: 2.10124 
[INFO] 2021-01-16 01:16:18 > Step:   64900 Progress: 64.9% Elapsed: 12:59:24 temperature: no ada_p: No Discriminator_loss: 0.625435 Generator_loss: 1.94932 
[INFO] 2021-01-16 01:17:23 > Step:   65000 Progress: 65.0% Elapsed: 13:00:29 temperature: no ada_p: No Discriminator_loss: 0.236891 Generator_loss: 2.15693 
[INFO] 2021-01-16 01:18:28 > Step:   65100 Progress: 65.1% Elapsed: 13:01:34 temperature: no ada_p: No Discriminator_loss: 0.436793 Generator_loss: 2.16413 
[INFO] 2021-01-16 01:19:34 > Step:   65200 Progress: 65.2% Elapsed: 13:02:40 temperature: no ada_p: No Discriminator_loss: 0.478148 Generator_loss: 1.98417 
[INFO] 2021-01-16 01:20:39 > Step:   65300 Progress: 65.3% Elapsed: 13:03:45 temperature: no ada_p: No Discriminator_loss: 0.353856 Generator_loss: 2.17532 
[INFO] 2021-01-16 01:21:44 > Step:   65400 Progress: 65.4% Elapsed: 13:04:50 temperature: no ada_p: No Discriminator_loss: 0.432962 Generator_loss: 2.33448 
[INFO] 2021-01-16 01:22:49 > Step:   65500 Progress: 65.5% Elapsed: 13:05:55 temperature: no ada_p: No Discriminator_loss: 0.552529 Generator_loss: 2.46745 
[INFO] 2021-01-16 01:23:56 > Step:   65600 Progress: 65.6% Elapsed: 13:07:01 temperature: no ada_p: No Discriminator_loss: 0.466797 Generator_loss: 2.22348 
[INFO] 2021-01-16 01:25:01 > Step:   65700 Progress: 65.7% Elapsed: 13:08:06 temperature: no ada_p: No Discriminator_loss: 0.430368 Generator_loss: 2.134 
[INFO] 2021-01-16 01:26:06 > Step:   65800 Progress: 65.8% Elapsed: 13:09:11 temperature: no ada_p: No Discriminator_loss: 0.438276 Generator_loss: 2.26932 
[INFO] 2021-01-16 01:27:11 > Step:   65900 Progress: 65.9% Elapsed: 13:10:16 temperature: no ada_p: No Discriminator_loss: 0.423127 Generator_loss: 2.21583 
[INFO] 2021-01-16 01:28:17 > Step:   66000 Progress: 66.0% Elapsed: 13:11:22 temperature: no ada_p: No Discriminator_loss: 0.461084 Generator_loss: 2.33495 
[INFO] 2021-01-16 01:28:17 > Start Evaluation (66000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:28:17 > Calculating FID Score....
[INFO] 2021-01-16 01:28:43 > Calculating Inception Score....
[INFO] 2021-01-16 01:28:58 > Calculate F_beta Score....
[INFO] 2021-01-16 01:30:10 > Calculate Accuracies....
[INFO] 2021-01-16 01:30:18 > Calculate Accuracies....
[INFO] 2021-01-16 01:30:33 > F_8 score (Step: 66000, Using valid images): 0.6993451016165426
[INFO] 2021-01-16 01:30:33 > F_1/8 score (Step: 66000, Using valid images): 0.8473306739054584
[INFO] 2021-01-16 01:30:33 > FID score (Step: 66000, Using valid moments): 54.94647943172015
[INFO] 2021-01-16 01:30:33 > Inception score (Step: 66000, 10000 generated images): 8.335169792175293
[INFO] 2021-01-16 01:30:33 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 01:30:34 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:31:39 > Step:   66100 Progress: 66.1% Elapsed: 13:14:44 temperature: no ada_p: No Discriminator_loss: 0.431011 Generator_loss: 2.487 
[INFO] 2021-01-16 01:32:44 > Step:   66200 Progress: 66.2% Elapsed: 13:15:49 temperature: no ada_p: No Discriminator_loss: 0.135312 Generator_loss: 1.86696 
[INFO] 2021-01-16 01:33:49 > Step:   66300 Progress: 66.3% Elapsed: 13:16:54 temperature: no ada_p: No Discriminator_loss: 0.386041 Generator_loss: 0.998684 
[INFO] 2021-01-16 01:34:55 > Step:   66400 Progress: 66.4% Elapsed: 13:18:01 temperature: no ada_p: No Discriminator_loss: 0.390523 Generator_loss: 0.940233 
[INFO] 2021-01-16 01:36:00 > Step:   66500 Progress: 66.5% Elapsed: 13:19:06 temperature: no ada_p: No Discriminator_loss: 0.397305 Generator_loss: 1.09356 
[INFO] 2021-01-16 01:37:05 > Step:   66600 Progress: 66.6% Elapsed: 13:20:11 temperature: no ada_p: No Discriminator_loss: 0.524263 Generator_loss: 0.894102 
[INFO] 2021-01-16 01:38:12 > Step:   66700 Progress: 66.7% Elapsed: 13:21:17 temperature: no ada_p: No Discriminator_loss: 0.510868 Generator_loss: 0.768104 
[INFO] 2021-01-16 01:39:17 > Step:   66800 Progress: 66.8% Elapsed: 13:22:22 temperature: no ada_p: No Discriminator_loss: 0.389967 Generator_loss: 1.04936 
[INFO] 2021-01-16 01:40:22 > Step:   66900 Progress: 66.9% Elapsed: 13:23:27 temperature: no ada_p: No Discriminator_loss: 0.357286 Generator_loss: 1.09585 
[INFO] 2021-01-16 01:41:27 > Step:   67000 Progress: 67.0% Elapsed: 13:24:32 temperature: no ada_p: No Discriminator_loss: 0.514197 Generator_loss: 1.04299 
[INFO] 2021-01-16 01:42:33 > Step:   67100 Progress: 67.1% Elapsed: 13:25:39 temperature: no ada_p: No Discriminator_loss: 0.548551 Generator_loss: 1.00713 
[INFO] 2021-01-16 01:43:38 > Step:   67200 Progress: 67.2% Elapsed: 13:26:44 temperature: no ada_p: No Discriminator_loss: 0.39969 Generator_loss: 1.15998 
[INFO] 2021-01-16 01:44:43 > Step:   67300 Progress: 67.3% Elapsed: 13:27:49 temperature: no ada_p: No Discriminator_loss: 0.457994 Generator_loss: 1.05486 
[INFO] 2021-01-16 01:45:48 > Step:   67400 Progress: 67.4% Elapsed: 13:28:54 temperature: no ada_p: No Discriminator_loss: 0.317112 Generator_loss: 1.24427 
[INFO] 2021-01-16 01:46:54 > Step:   67500 Progress: 67.5% Elapsed: 13:30:00 temperature: no ada_p: No Discriminator_loss: 0.25767 Generator_loss: 1.2095 
[INFO] 2021-01-16 01:47:59 > Step:   67600 Progress: 67.6% Elapsed: 13:31:05 temperature: no ada_p: No Discriminator_loss: 0.424134 Generator_loss: 1.18251 
[INFO] 2021-01-16 01:49:04 > Step:   67700 Progress: 67.7% Elapsed: 13:32:10 temperature: no ada_p: No Discriminator_loss: 0.361224 Generator_loss: 1.0941 
[INFO] 2021-01-16 01:50:09 > Step:   67800 Progress: 67.8% Elapsed: 13:33:15 temperature: no ada_p: No Discriminator_loss: 0.5421 Generator_loss: 0.920626 
[INFO] 2021-01-16 01:51:16 > Step:   67900 Progress: 67.9% Elapsed: 13:34:21 temperature: no ada_p: No Discriminator_loss: 0.490416 Generator_loss: 1.21657 
[INFO] 2021-01-16 01:52:21 > Step:   68000 Progress: 68.0% Elapsed: 13:35:26 temperature: no ada_p: No Discriminator_loss: 0.537877 Generator_loss: 1.17768 
[INFO] 2021-01-16 01:52:21 > Start Evaluation (68000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:52:21 > Calculating FID Score....
[INFO] 2021-01-16 01:52:46 > Calculating Inception Score....
[INFO] 2021-01-16 01:53:02 > Calculate F_beta Score....
[INFO] 2021-01-16 01:54:14 > Calculate Accuracies....
[INFO] 2021-01-16 01:54:21 > Calculate Accuracies....
[INFO] 2021-01-16 01:54:37 > F_8 score (Step: 68000, Using valid images): 0.6862542853726417
[INFO] 2021-01-16 01:54:37 > F_1/8 score (Step: 68000, Using valid images): 0.8659719441842022
[INFO] 2021-01-16 01:54:37 > FID score (Step: 68000, Using valid moments): 54.272007788549956
[INFO] 2021-01-16 01:54:37 > Inception score (Step: 68000, 10000 generated images): 8.226792335510254
[INFO] 2021-01-16 01:54:37 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 01:54:38 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 01:55:43 > Step:   68100 Progress: 68.1% Elapsed: 13:38:48 temperature: no ada_p: No Discriminator_loss: 0.452834 Generator_loss: 1.1522 
[INFO] 2021-01-16 01:56:48 > Step:   68200 Progress: 68.2% Elapsed: 13:39:54 temperature: no ada_p: No Discriminator_loss: 0.47715 Generator_loss: 0.818638 
[INFO] 2021-01-16 01:57:54 > Step:   68300 Progress: 68.3% Elapsed: 13:41:00 temperature: no ada_p: No Discriminator_loss: 0.309288 Generator_loss: 0.951312 
[INFO] 2021-01-16 01:58:59 > Step:   68400 Progress: 68.4% Elapsed: 13:42:05 temperature: no ada_p: No Discriminator_loss: 0.491721 Generator_loss: 1.05437 
[INFO] 2021-01-16 02:00:04 > Step:   68500 Progress: 68.5% Elapsed: 13:43:10 temperature: no ada_p: No Discriminator_loss: 0.477658 Generator_loss: 1.23685 
[INFO] 2021-01-16 02:01:09 > Step:   68600 Progress: 68.6% Elapsed: 13:44:15 temperature: no ada_p: No Discriminator_loss: 0.63068 Generator_loss: 0.835622 
[INFO] 2021-01-16 02:02:15 > Step:   68700 Progress: 68.7% Elapsed: 13:45:21 temperature: no ada_p: No Discriminator_loss: 0.366137 Generator_loss: 1.21688 
[INFO] 2021-01-16 02:03:21 > Step:   68800 Progress: 68.8% Elapsed: 13:46:26 temperature: no ada_p: No Discriminator_loss: 0.471752 Generator_loss: 1.09612 
[INFO] 2021-01-16 02:04:26 > Step:   68900 Progress: 68.9% Elapsed: 13:47:31 temperature: no ada_p: No Discriminator_loss: 0.475201 Generator_loss: 1.11685 
[INFO] 2021-01-16 02:05:31 > Step:   69000 Progress: 69.0% Elapsed: 13:48:36 temperature: no ada_p: No Discriminator_loss: 0.493889 Generator_loss: 1.06325 
[INFO] 2021-01-16 02:06:37 > Step:   69100 Progress: 69.1% Elapsed: 13:49:42 temperature: no ada_p: No Discriminator_loss: 0.430783 Generator_loss: 1.14912 
[INFO] 2021-01-16 02:07:42 > Step:   69200 Progress: 69.2% Elapsed: 13:50:47 temperature: no ada_p: No Discriminator_loss: 0.447225 Generator_loss: 0.918115 
[INFO] 2021-01-16 02:08:47 > Step:   69300 Progress: 69.3% Elapsed: 13:51:52 temperature: no ada_p: No Discriminator_loss: 0.30791 Generator_loss: 1.09075 
[INFO] 2021-01-16 02:09:52 > Step:   69400 Progress: 69.4% Elapsed: 13:52:58 temperature: no ada_p: No Discriminator_loss: 0.486186 Generator_loss: 1.20603 
[INFO] 2021-01-16 02:10:58 > Step:   69500 Progress: 69.5% Elapsed: 13:54:04 temperature: no ada_p: No Discriminator_loss: 0.258984 Generator_loss: 1.26968 
[INFO] 2021-01-16 02:12:03 > Step:   69600 Progress: 69.6% Elapsed: 13:55:09 temperature: no ada_p: No Discriminator_loss: 0.353207 Generator_loss: 1.07616 
[INFO] 2021-01-16 02:13:08 > Step:   69700 Progress: 69.7% Elapsed: 13:56:14 temperature: no ada_p: No Discriminator_loss: 0.461118 Generator_loss: 1.16608 
[INFO] 2021-01-16 02:14:13 > Step:   69800 Progress: 69.8% Elapsed: 13:57:19 temperature: no ada_p: No Discriminator_loss: 0.808172 Generator_loss: 0.559272 
[INFO] 2021-01-16 02:15:19 > Step:   69900 Progress: 69.9% Elapsed: 13:58:25 temperature: no ada_p: No Discriminator_loss: 0.599895 Generator_loss: 1.07471 
[INFO] 2021-01-16 02:16:24 > Step:   70000 Progress: 70.0% Elapsed: 13:59:30 temperature: no ada_p: No Discriminator_loss: 0.289893 Generator_loss: 2.52084 
[INFO] 2021-01-16 02:16:24 > Start Evaluation (70000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 02:16:24 > Calculating FID Score....
[INFO] 2021-01-16 02:16:50 > Calculating Inception Score....
[INFO] 2021-01-16 02:17:06 > Calculate F_beta Score....
[INFO] 2021-01-16 02:18:17 > Calculate Accuracies....
[INFO] 2021-01-16 02:18:24 > Calculate Accuracies....
[INFO] 2021-01-16 02:18:39 > F_8 score (Step: 70000, Using valid images): 0.6910858608733176
[INFO] 2021-01-16 02:18:39 > F_1/8 score (Step: 70000, Using valid images): 0.9132528753397103
[INFO] 2021-01-16 02:18:39 > FID score (Step: 70000, Using valid moments): 52.2651290309833
[INFO] 2021-01-16 02:18:39 > Inception score (Step: 70000, 10000 generated images): 7.97696590423584
[INFO] 2021-01-16 02:18:39 > Best FID score (Step: 56000, Using valid moments): 51.85787660058446
[INFO] 2021-01-16 02:18:41 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 02:19:45 > Step:   70100 Progress: 70.1% Elapsed: 14:02:51 temperature: no ada_p: No Discriminator_loss: 0.401999 Generator_loss: 2.24599 
[INFO] 2021-01-16 02:20:50 > Step:   70200 Progress: 70.2% Elapsed: 14:03:56 temperature: no ada_p: No Discriminator_loss: 0.250994 Generator_loss: 2.46835 
[INFO] 2021-01-16 02:21:57 > Step:   70300 Progress: 70.3% Elapsed: 14:05:02 temperature: no ada_p: No Discriminator_loss: 0.272942 Generator_loss: 1.93728 
[INFO] 2021-01-16 02:23:02 > Step:   70400 Progress: 70.4% Elapsed: 14:06:07 temperature: no ada_p: No Discriminator_loss: 0.588546 Generator_loss: 2.51589 
[INFO] 2021-01-16 02:24:07 > Step:   70500 Progress: 70.5% Elapsed: 14:07:12 temperature: no ada_p: No Discriminator_loss: 0.535955 Generator_loss: 2.42345 
[INFO] 2021-01-16 02:25:13 > Step:   70600 Progress: 70.6% Elapsed: 14:08:19 temperature: no ada_p: No Discriminator_loss: 0.645799 Generator_loss: 2.36593 
[INFO] 2021-01-16 02:26:18 > Step:   70700 Progress: 70.7% Elapsed: 14:09:24 temperature: no ada_p: No Discriminator_loss: 0.268149 Generator_loss: 2.19734 
[INFO] 2021-01-16 02:27:23 > Step:   70800 Progress: 70.8% Elapsed: 14:10:29 temperature: no ada_p: No Discriminator_loss: 0.630336 Generator_loss: 2.43125 
[INFO] 2021-01-16 02:28:28 > Step:   70900 Progress: 70.9% Elapsed: 14:11:34 temperature: no ada_p: No Discriminator_loss: 0.236299 Generator_loss: 2.04041 
[INFO] 2021-01-16 02:29:34 > Step:   71000 Progress: 71.0% Elapsed: 14:12:40 temperature: no ada_p: No Discriminator_loss: 0.252859 Generator_loss: 2.63826 
[INFO] 2021-01-16 02:30:39 > Step:   71100 Progress: 71.1% Elapsed: 14:13:45 temperature: no ada_p: No Discriminator_loss: 0.417861 Generator_loss: 2.10201 
[INFO] 2021-01-16 02:31:44 > Step:   71200 Progress: 71.2% Elapsed: 14:14:50 temperature: no ada_p: No Discriminator_loss: 0.420059 Generator_loss: 2.43483 
[INFO] 2021-01-16 02:32:49 > Step:   71300 Progress: 71.3% Elapsed: 14:15:55 temperature: no ada_p: No Discriminator_loss: 0.38662 Generator_loss: 2.41989 
[INFO] 2021-01-16 02:33:56 > Step:   71400 Progress: 71.4% Elapsed: 14:17:01 temperature: no ada_p: No Discriminator_loss: 0.330927 Generator_loss: 1.32482 
[INFO] 2021-01-16 02:35:01 > Step:   71500 Progress: 71.5% Elapsed: 14:18:06 temperature: no ada_p: No Discriminator_loss: 0.403925 Generator_loss: 1.18208 
[INFO] 2021-01-16 02:36:06 > Step:   71600 Progress: 71.6% Elapsed: 14:19:11 temperature: no ada_p: No Discriminator_loss: 0.561446 Generator_loss: 1.01273 
[INFO] 2021-01-16 02:37:11 > Step:   71700 Progress: 71.7% Elapsed: 14:20:16 temperature: no ada_p: No Discriminator_loss: 0.503239 Generator_loss: 1.0862 
[INFO] 2021-01-16 02:38:17 > Step:   71800 Progress: 71.8% Elapsed: 14:21:23 temperature: no ada_p: No Discriminator_loss: 0.389284 Generator_loss: 1.26933 
[INFO] 2021-01-16 02:39:22 > Step:   71900 Progress: 71.9% Elapsed: 14:22:28 temperature: no ada_p: No Discriminator_loss: 0.371917 Generator_loss: 0.987743 
[INFO] 2021-01-16 02:40:27 > Step:   72000 Progress: 72.0% Elapsed: 14:23:33 temperature: no ada_p: No Discriminator_loss: 0.395463 Generator_loss: 2.5273 
[INFO] 2021-01-16 02:40:27 > Start Evaluation (72000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 02:40:27 > Calculating FID Score....
[INFO] 2021-01-16 02:40:53 > Calculating Inception Score....
[INFO] 2021-01-16 02:41:09 > Calculate F_beta Score....
[INFO] 2021-01-16 02:42:19 > Calculate Accuracies....
[INFO] 2021-01-16 02:42:26 > Calculate Accuracies....
[INFO] 2021-01-16 02:42:42 > F_8 score (Step: 72000, Using valid images): 0.6796315941436551
[INFO] 2021-01-16 02:42:42 > F_1/8 score (Step: 72000, Using valid images): 0.8987268920288417
[INFO] 2021-01-16 02:42:42 > FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 02:42:42 > Inception score (Step: 72000, 10000 generated images): 8.261909484863281
[INFO] 2021-01-16 02:42:42 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 02:42:44 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 02:43:49 > Step:   72100 Progress: 72.1% Elapsed: 14:26:55 temperature: no ada_p: No Discriminator_loss: 0.364529 Generator_loss: 2.42531 
[INFO] 2021-01-16 02:44:55 > Step:   72200 Progress: 72.2% Elapsed: 14:28:01 temperature: no ada_p: No Discriminator_loss: 0.485381 Generator_loss: 2.37377 
[INFO] 2021-01-16 02:46:00 > Step:   72300 Progress: 72.3% Elapsed: 14:29:06 temperature: no ada_p: No Discriminator_loss: 0.391856 Generator_loss: 2.4862 
[INFO] 2021-01-16 02:47:06 > Step:   72400 Progress: 72.4% Elapsed: 14:30:11 temperature: no ada_p: No Discriminator_loss: 0.211747 Generator_loss: 2.21249 
[INFO] 2021-01-16 02:48:11 > Step:   72500 Progress: 72.5% Elapsed: 14:31:16 temperature: no ada_p: No Discriminator_loss: 0.274204 Generator_loss: 2.31092 
[INFO] 2021-01-16 02:49:17 > Step:   72600 Progress: 72.6% Elapsed: 14:32:22 temperature: no ada_p: No Discriminator_loss: 0.470669 Generator_loss: 2.37985 
[INFO] 2021-01-16 02:50:22 > Step:   72700 Progress: 72.7% Elapsed: 14:33:27 temperature: no ada_p: No Discriminator_loss: 0.516774 Generator_loss: 2.29175 
[INFO] 2021-01-16 02:51:27 > Step:   72800 Progress: 72.8% Elapsed: 14:34:32 temperature: no ada_p: No Discriminator_loss: 0.33131 Generator_loss: 2.25069 
[INFO] 2021-01-16 02:52:32 > Step:   72900 Progress: 72.9% Elapsed: 14:35:38 temperature: no ada_p: No Discriminator_loss: 0.323817 Generator_loss: 2.35432 
[INFO] 2021-01-16 02:53:38 > Step:   73000 Progress: 73.0% Elapsed: 14:36:44 temperature: no ada_p: No Discriminator_loss: 0.341763 Generator_loss: 2.41877 
[INFO] 2021-01-16 02:54:43 > Step:   73100 Progress: 73.1% Elapsed: 14:37:49 temperature: no ada_p: No Discriminator_loss: 0.313369 Generator_loss: 2.31012 
[INFO] 2021-01-16 02:55:48 > Step:   73200 Progress: 73.2% Elapsed: 14:38:54 temperature: no ada_p: No Discriminator_loss: 0.334211 Generator_loss: 2.2518 
[INFO] 2021-01-16 02:56:53 > Step:   73300 Progress: 73.3% Elapsed: 14:39:59 temperature: no ada_p: No Discriminator_loss: 0.345389 Generator_loss: 2.4651 
[INFO] 2021-01-16 02:58:00 > Step:   73400 Progress: 73.4% Elapsed: 14:41:05 temperature: no ada_p: No Discriminator_loss: 0.42202 Generator_loss: 2.55395 
[INFO] 2021-01-16 02:59:05 > Step:   73500 Progress: 73.5% Elapsed: 14:42:10 temperature: no ada_p: No Discriminator_loss: 0.423372 Generator_loss: 2.57231 
[INFO] 2021-01-16 03:00:10 > Step:   73600 Progress: 73.6% Elapsed: 14:43:15 temperature: no ada_p: No Discriminator_loss: 0.286551 Generator_loss: 2.5625 
[INFO] 2021-01-16 03:01:15 > Step:   73700 Progress: 73.7% Elapsed: 14:44:20 temperature: no ada_p: No Discriminator_loss: 0.218204 Generator_loss: 2.02948 
[INFO] 2021-01-16 03:02:21 > Step:   73800 Progress: 73.8% Elapsed: 14:45:26 temperature: no ada_p: No Discriminator_loss: 0.228796 Generator_loss: 2.23255 
[INFO] 2021-01-16 03:03:26 > Step:   73900 Progress: 73.9% Elapsed: 14:46:31 temperature: no ada_p: No Discriminator_loss: 0.404676 Generator_loss: 2.05267 
[INFO] 2021-01-16 03:04:31 > Step:   74000 Progress: 74.0% Elapsed: 14:47:37 temperature: no ada_p: No Discriminator_loss: 0.284459 Generator_loss: 2.62351 
[INFO] 2021-01-16 03:04:31 > Start Evaluation (74000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:04:31 > Calculating FID Score....
[INFO] 2021-01-16 03:04:57 > Calculating Inception Score....
[INFO] 2021-01-16 03:05:12 > Calculate F_beta Score....
[INFO] 2021-01-16 03:06:24 > Calculate Accuracies....
[INFO] 2021-01-16 03:06:32 > Calculate Accuracies....
[INFO] 2021-01-16 03:06:47 > F_8 score (Step: 74000, Using valid images): 0.6860312465470617
[INFO] 2021-01-16 03:06:47 > F_1/8 score (Step: 74000, Using valid images): 0.8660845636524008
[INFO] 2021-01-16 03:06:47 > FID score (Step: 74000, Using valid moments): 53.37569886830545
[INFO] 2021-01-16 03:06:47 > Inception score (Step: 74000, 10000 generated images): 8.100743293762207
[INFO] 2021-01-16 03:06:47 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 03:06:48 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:07:53 > Step:   74100 Progress: 74.1% Elapsed: 14:50:58 temperature: no ada_p: No Discriminator_loss: 0.446793 Generator_loss: 2.31152 
[INFO] 2021-01-16 03:08:59 > Step:   74200 Progress: 74.2% Elapsed: 14:52:05 temperature: no ada_p: No Discriminator_loss: 0.348344 Generator_loss: 2.60159 
[INFO] 2021-01-16 03:10:04 > Step:   74300 Progress: 74.3% Elapsed: 14:53:10 temperature: no ada_p: No Discriminator_loss: 0.318162 Generator_loss: 2.41626 
[INFO] 2021-01-16 03:11:09 > Step:   74400 Progress: 74.4% Elapsed: 14:54:15 temperature: no ada_p: No Discriminator_loss: 0.435351 Generator_loss: 2.25191 
[INFO] 2021-01-16 03:12:15 > Step:   74500 Progress: 74.5% Elapsed: 14:55:21 temperature: no ada_p: No Discriminator_loss: 0.260191 Generator_loss: 2.16912 
[INFO] 2021-01-16 03:13:20 > Step:   74600 Progress: 74.6% Elapsed: 14:56:26 temperature: no ada_p: No Discriminator_loss: 0.579654 Generator_loss: 2.272 
[INFO] 2021-01-16 03:14:25 > Step:   74700 Progress: 74.7% Elapsed: 14:57:31 temperature: no ada_p: No Discriminator_loss: 0.412455 Generator_loss: 2.31765 
[INFO] 2021-01-16 03:15:30 > Step:   74800 Progress: 74.8% Elapsed: 14:58:36 temperature: no ada_p: No Discriminator_loss: 0.602693 Generator_loss: 1.11761 
[INFO] 2021-01-16 03:16:37 > Step:   74900 Progress: 74.9% Elapsed: 14:59:42 temperature: no ada_p: No Discriminator_loss: 0.375155 Generator_loss: 1.18642 
[INFO] 2021-01-16 03:17:42 > Step:   75000 Progress: 75.0% Elapsed: 15:00:47 temperature: no ada_p: No Discriminator_loss: 0.313339 Generator_loss: 1.10704 
[INFO] 2021-01-16 03:18:47 > Step:   75100 Progress: 75.1% Elapsed: 15:01:52 temperature: no ada_p: No Discriminator_loss: 0.489433 Generator_loss: 0.958261 
[INFO] 2021-01-16 03:19:52 > Step:   75200 Progress: 75.2% Elapsed: 15:02:57 temperature: no ada_p: No Discriminator_loss: 0.295884 Generator_loss: 1.09217 
[INFO] 2021-01-16 03:20:58 > Step:   75300 Progress: 75.3% Elapsed: 15:04:03 temperature: no ada_p: No Discriminator_loss: 0.396457 Generator_loss: 1.15523 
[INFO] 2021-01-16 03:22:03 > Step:   75400 Progress: 75.4% Elapsed: 15:05:08 temperature: no ada_p: No Discriminator_loss: 0.515845 Generator_loss: 1.25656 
[INFO] 2021-01-16 03:23:08 > Step:   75500 Progress: 75.5% Elapsed: 15:06:13 temperature: no ada_p: No Discriminator_loss: 0.267319 Generator_loss: 2.82628 
[INFO] 2021-01-16 03:24:13 > Step:   75600 Progress: 75.6% Elapsed: 15:07:18 temperature: no ada_p: No Discriminator_loss: 0.367014 Generator_loss: 2.31968 
[INFO] 2021-01-16 03:25:19 > Step:   75700 Progress: 75.7% Elapsed: 15:08:25 temperature: no ada_p: No Discriminator_loss: 0.303634 Generator_loss: 2.27176 
[INFO] 2021-01-16 03:26:24 > Step:   75800 Progress: 75.8% Elapsed: 15:09:30 temperature: no ada_p: No Discriminator_loss: 0.317616 Generator_loss: 2.3661 
[INFO] 2021-01-16 03:27:29 > Step:   75900 Progress: 75.9% Elapsed: 15:10:35 temperature: no ada_p: No Discriminator_loss: 0.158668 Generator_loss: 2.1699 
[INFO] 2021-01-16 03:28:34 > Step:   76000 Progress: 76.0% Elapsed: 15:11:40 temperature: no ada_p: No Discriminator_loss: 0.331509 Generator_loss: 2.2551 
[INFO] 2021-01-16 03:28:34 > Start Evaluation (76000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:28:34 > Calculating FID Score....
[INFO] 2021-01-16 03:29:00 > Calculating Inception Score....
[INFO] 2021-01-16 03:29:16 > Calculate F_beta Score....
[INFO] 2021-01-16 03:30:26 > Calculate Accuracies....
[INFO] 2021-01-16 03:30:34 > Calculate Accuracies....
[INFO] 2021-01-16 03:30:49 > F_8 score (Step: 76000, Using valid images): 0.6789778197723506
[INFO] 2021-01-16 03:30:49 > F_1/8 score (Step: 76000, Using valid images): 0.8861934311362987
[INFO] 2021-01-16 03:30:49 > FID score (Step: 76000, Using valid moments): 51.885571319245855
[INFO] 2021-01-16 03:30:49 > Inception score (Step: 76000, 10000 generated images): 8.334267616271973
[INFO] 2021-01-16 03:30:49 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 03:30:50 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:31:56 > Step:   76100 Progress: 76.1% Elapsed: 15:15:01 temperature: no ada_p: No Discriminator_loss: 0.267327 Generator_loss: 1.23434 
[INFO] 2021-01-16 03:33:01 > Step:   76200 Progress: 76.2% Elapsed: 15:16:06 temperature: no ada_p: No Discriminator_loss: 0.284162 Generator_loss: 1.1111 
[INFO] 2021-01-16 03:34:06 > Step:   76300 Progress: 76.3% Elapsed: 15:17:11 temperature: no ada_p: No Discriminator_loss: 0.220667 Generator_loss: 1.36944 
[INFO] 2021-01-16 03:35:11 > Step:   76400 Progress: 76.4% Elapsed: 15:18:17 temperature: no ada_p: No Discriminator_loss: 0.386691 Generator_loss: 1.0291 
[INFO] 2021-01-16 03:36:17 > Step:   76500 Progress: 76.5% Elapsed: 15:19:23 temperature: no ada_p: No Discriminator_loss: 0.380024 Generator_loss: 1.24739 
[INFO] 2021-01-16 03:37:22 > Step:   76600 Progress: 76.6% Elapsed: 15:20:28 temperature: no ada_p: No Discriminator_loss: 0.325397 Generator_loss: 1.48022 
[INFO] 2021-01-16 03:38:27 > Step:   76700 Progress: 76.7% Elapsed: 15:21:33 temperature: no ada_p: No Discriminator_loss: 0.456395 Generator_loss: 1.1357 
[INFO] 2021-01-16 03:39:32 > Step:   76800 Progress: 76.8% Elapsed: 15:22:38 temperature: no ada_p: No Discriminator_loss: 0.242449 Generator_loss: 1.24475 
[INFO] 2021-01-16 03:40:39 > Step:   76900 Progress: 76.9% Elapsed: 15:23:44 temperature: no ada_p: No Discriminator_loss: 0.677922 Generator_loss: 0.668676 
[INFO] 2021-01-16 03:41:44 > Step:   77000 Progress: 77.0% Elapsed: 15:24:49 temperature: no ada_p: No Discriminator_loss: 0.809094 Generator_loss: 0.778564 
[INFO] 2021-01-16 03:42:49 > Step:   77100 Progress: 77.1% Elapsed: 15:25:54 temperature: no ada_p: No Discriminator_loss: 0.402291 Generator_loss: 1.25328 
[INFO] 2021-01-16 03:43:54 > Step:   77200 Progress: 77.2% Elapsed: 15:26:59 temperature: no ada_p: No Discriminator_loss: 0.481557 Generator_loss: 2.38255 
[INFO] 2021-01-16 03:45:00 > Step:   77300 Progress: 77.3% Elapsed: 15:28:06 temperature: no ada_p: No Discriminator_loss: 0.240468 Generator_loss: 2.50527 
[INFO] 2021-01-16 03:46:05 > Step:   77400 Progress: 77.4% Elapsed: 15:29:11 temperature: no ada_p: No Discriminator_loss: 0.186023 Generator_loss: 2.22519 
[INFO] 2021-01-16 03:47:10 > Step:   77500 Progress: 77.5% Elapsed: 15:30:16 temperature: no ada_p: No Discriminator_loss: 0.340464 Generator_loss: 2.33713 
[INFO] 2021-01-16 03:48:15 > Step:   77600 Progress: 77.6% Elapsed: 15:31:21 temperature: no ada_p: No Discriminator_loss: 0.332408 Generator_loss: 2.42768 
[INFO] 2021-01-16 03:49:21 > Step:   77700 Progress: 77.7% Elapsed: 15:32:27 temperature: no ada_p: No Discriminator_loss: 0.188386 Generator_loss: 2.13295 
[INFO] 2021-01-16 03:50:26 > Step:   77800 Progress: 77.8% Elapsed: 15:33:32 temperature: no ada_p: No Discriminator_loss: 0.236462 Generator_loss: 2.50723 
[INFO] 2021-01-16 03:51:31 > Step:   77900 Progress: 77.9% Elapsed: 15:34:37 temperature: no ada_p: No Discriminator_loss: 0.405143 Generator_loss: 2.72443 
[INFO] 2021-01-16 03:52:36 > Step:   78000 Progress: 78.0% Elapsed: 15:35:42 temperature: no ada_p: No Discriminator_loss: 0.310986 Generator_loss: 2.21388 
[INFO] 2021-01-16 03:52:36 > Start Evaluation (78000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:52:36 > Calculating FID Score....
[INFO] 2021-01-16 03:53:02 > Calculating Inception Score....
[INFO] 2021-01-16 03:53:18 > Calculate F_beta Score....
[INFO] 2021-01-16 03:54:29 > Calculate Accuracies....
[INFO] 2021-01-16 03:54:36 > Calculate Accuracies....
[INFO] 2021-01-16 03:54:51 > F_8 score (Step: 78000, Using valid images): 0.6946914436724265
[INFO] 2021-01-16 03:54:51 > F_1/8 score (Step: 78000, Using valid images): 0.8758270863036716
[INFO] 2021-01-16 03:54:51 > FID score (Step: 78000, Using valid moments): 54.32014819879521
[INFO] 2021-01-16 03:54:51 > Inception score (Step: 78000, 10000 generated images): 8.370338439941406
[INFO] 2021-01-16 03:54:51 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 03:54:53 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 03:55:59 > Step:   78100 Progress: 78.1% Elapsed: 15:39:04 temperature: no ada_p: No Discriminator_loss: 0.491389 Generator_loss: 2.47662 
[INFO] 2021-01-16 03:57:04 > Step:   78200 Progress: 78.2% Elapsed: 15:40:09 temperature: no ada_p: No Discriminator_loss: 0.276466 Generator_loss: 2.52864 
[INFO] 2021-01-16 03:58:09 > Step:   78300 Progress: 78.3% Elapsed: 15:41:14 temperature: no ada_p: No Discriminator_loss: 0.469192 Generator_loss: 2.64311 
[INFO] 2021-01-16 03:59:15 > Step:   78400 Progress: 78.4% Elapsed: 15:42:20 temperature: no ada_p: No Discriminator_loss: 0.270563 Generator_loss: 2.27673 
[INFO] 2021-01-16 04:00:20 > Step:   78500 Progress: 78.5% Elapsed: 15:43:25 temperature: no ada_p: No Discriminator_loss: 0.492518 Generator_loss: 2.62814 
[INFO] 2021-01-16 04:01:25 > Step:   78600 Progress: 78.6% Elapsed: 15:44:30 temperature: no ada_p: No Discriminator_loss: 0.480408 Generator_loss: 2.28137 
[INFO] 2021-01-16 04:02:30 > Step:   78700 Progress: 78.7% Elapsed: 15:45:36 temperature: no ada_p: No Discriminator_loss: 0.642466 Generator_loss: 2.36057 
[INFO] 2021-01-16 04:03:36 > Step:   78800 Progress: 78.8% Elapsed: 15:46:42 temperature: no ada_p: No Discriminator_loss: 0.298211 Generator_loss: 2.42885 
[INFO] 2021-01-16 04:04:41 > Step:   78900 Progress: 78.9% Elapsed: 15:47:47 temperature: no ada_p: No Discriminator_loss: 0.20942 Generator_loss: 2.6283 
[INFO] 2021-01-16 04:05:46 > Step:   79000 Progress: 79.0% Elapsed: 15:48:52 temperature: no ada_p: No Discriminator_loss: 0.249853 Generator_loss: 2.59625 
[INFO] 2021-01-16 04:06:51 > Step:   79100 Progress: 79.1% Elapsed: 15:49:57 temperature: no ada_p: No Discriminator_loss: 0.378261 Generator_loss: 2.68987 
[INFO] 2021-01-16 04:07:57 > Step:   79200 Progress: 79.2% Elapsed: 15:51:03 temperature: no ada_p: No Discriminator_loss: 0.288758 Generator_loss: 2.48062 
[INFO] 2021-01-16 04:09:02 > Step:   79300 Progress: 79.3% Elapsed: 15:52:08 temperature: no ada_p: No Discriminator_loss: 0.377725 Generator_loss: 2.24017 
[INFO] 2021-01-16 04:10:07 > Step:   79400 Progress: 79.4% Elapsed: 15:53:13 temperature: no ada_p: No Discriminator_loss: 0.578371 Generator_loss: 2.51614 
[INFO] 2021-01-16 04:11:12 > Step:   79500 Progress: 79.5% Elapsed: 15:54:18 temperature: no ada_p: No Discriminator_loss: 0.399543 Generator_loss: 2.50191 
[INFO] 2021-01-16 04:12:19 > Step:   79600 Progress: 79.6% Elapsed: 15:55:24 temperature: no ada_p: No Discriminator_loss: 0.522118 Generator_loss: 2.16734 
[INFO] 2021-01-16 04:13:23 > Step:   79700 Progress: 79.7% Elapsed: 15:56:29 temperature: no ada_p: No Discriminator_loss: 0.257378 Generator_loss: 2.19574 
[INFO] 2021-01-16 04:14:29 > Step:   79800 Progress: 79.8% Elapsed: 15:57:34 temperature: no ada_p: No Discriminator_loss: 0.417643 Generator_loss: 2.39425 
[INFO] 2021-01-16 04:15:34 > Step:   79900 Progress: 79.9% Elapsed: 15:58:39 temperature: no ada_p: No Discriminator_loss: 0.418562 Generator_loss: 2.66146 
[INFO] 2021-01-16 04:16:40 > Step:   80000 Progress: 80.0% Elapsed: 15:59:45 temperature: no ada_p: No Discriminator_loss: 0.305721 Generator_loss: 2.38606 
[INFO] 2021-01-16 04:16:40 > Start Evaluation (80000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 04:16:40 > Calculating FID Score....
[INFO] 2021-01-16 04:17:06 > Calculating Inception Score....
[INFO] 2021-01-16 04:17:21 > Calculate F_beta Score....
[INFO] 2021-01-16 04:18:32 > Calculate Accuracies....
[INFO] 2021-01-16 04:18:39 > Calculate Accuracies....
[INFO] 2021-01-16 04:18:54 > F_8 score (Step: 80000, Using valid images): 0.6890023479560811
[INFO] 2021-01-16 04:18:54 > F_1/8 score (Step: 80000, Using valid images): 0.8929354690459179
[INFO] 2021-01-16 04:18:54 > FID score (Step: 80000, Using valid moments): 51.67758432614835
[INFO] 2021-01-16 04:18:54 > Inception score (Step: 80000, 10000 generated images): 8.380824089050293
[INFO] 2021-01-16 04:18:54 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 04:18:56 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 04:20:00 > Step:   80100 Progress: 80.1% Elapsed: 16:03:06 temperature: no ada_p: No Discriminator_loss: 0.37189 Generator_loss: 2.2578 
[INFO] 2021-01-16 04:21:05 > Step:   80200 Progress: 80.2% Elapsed: 16:04:11 temperature: no ada_p: No Discriminator_loss: 0.455328 Generator_loss: 2.30027 
[INFO] 2021-01-16 04:22:10 > Step:   80300 Progress: 80.3% Elapsed: 16:05:16 temperature: no ada_p: No Discriminator_loss: 0.296773 Generator_loss: 2.33017 
[INFO] 2021-01-16 04:23:17 > Step:   80400 Progress: 80.4% Elapsed: 16:06:22 temperature: no ada_p: No Discriminator_loss: 0.173571 Generator_loss: 2.21051 
[INFO] 2021-01-16 04:24:22 > Step:   80500 Progress: 80.5% Elapsed: 16:07:27 temperature: no ada_p: No Discriminator_loss: 0.266655 Generator_loss: 2.30123 
[INFO] 2021-01-16 04:25:27 > Step:   80600 Progress: 80.6% Elapsed: 16:08:32 temperature: no ada_p: No Discriminator_loss: 0.170007 Generator_loss: 1.39154 
[INFO] 2021-01-16 04:26:32 > Step:   80700 Progress: 80.7% Elapsed: 16:09:37 temperature: no ada_p: No Discriminator_loss: 0.407808 Generator_loss: 2.50402 
[INFO] 2021-01-16 04:27:38 > Step:   80800 Progress: 80.8% Elapsed: 16:10:43 temperature: no ada_p: No Discriminator_loss: 0.154543 Generator_loss: 1.38658 
[INFO] 2021-01-16 04:28:43 > Step:   80900 Progress: 80.9% Elapsed: 16:11:48 temperature: no ada_p: No Discriminator_loss: 0.323043 Generator_loss: 1.40177 
[INFO] 2021-01-16 04:29:48 > Step:   81000 Progress: 81.0% Elapsed: 16:12:53 temperature: no ada_p: No Discriminator_loss: 0.722015 Generator_loss: 1.05887 
[INFO] 2021-01-16 04:30:53 > Step:   81100 Progress: 81.1% Elapsed: 16:13:59 temperature: no ada_p: No Discriminator_loss: 0.296073 Generator_loss: 1.16582 
[INFO] 2021-01-16 04:31:59 > Step:   81200 Progress: 81.2% Elapsed: 16:15:05 temperature: no ada_p: No Discriminator_loss: 0.273576 Generator_loss: 1.11639 
[INFO] 2021-01-16 04:33:04 > Step:   81300 Progress: 81.3% Elapsed: 16:16:10 temperature: no ada_p: No Discriminator_loss: 0.925728 Generator_loss: 0.543654 
[INFO] 2021-01-16 04:34:09 > Step:   81400 Progress: 81.4% Elapsed: 16:17:15 temperature: no ada_p: No Discriminator_loss: 0.21845 Generator_loss: 1.47038 
[INFO] 2021-01-16 04:35:14 > Step:   81500 Progress: 81.5% Elapsed: 16:18:20 temperature: no ada_p: No Discriminator_loss: 0.216056 Generator_loss: 1.42832 
[INFO] 2021-01-16 04:36:20 > Step:   81600 Progress: 81.6% Elapsed: 16:19:26 temperature: no ada_p: No Discriminator_loss: 0.359998 Generator_loss: 2.51257 
[INFO] 2021-01-16 04:37:25 > Step:   81700 Progress: 81.7% Elapsed: 16:20:31 temperature: no ada_p: No Discriminator_loss: 0.186974 Generator_loss: 2.22715 
[INFO] 2021-01-16 04:38:30 > Step:   81800 Progress: 81.8% Elapsed: 16:21:36 temperature: no ada_p: No Discriminator_loss: 0.340159 Generator_loss: 2.45547 
[INFO] 2021-01-16 04:39:35 > Step:   81900 Progress: 81.9% Elapsed: 16:22:41 temperature: no ada_p: No Discriminator_loss: 0.660429 Generator_loss: 1.10586 
[INFO] 2021-01-16 04:40:42 > Step:   82000 Progress: 82.0% Elapsed: 16:23:47 temperature: no ada_p: No Discriminator_loss: 0.527503 Generator_loss: 0.920317 
[INFO] 2021-01-16 04:40:42 > Start Evaluation (82000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 04:40:42 > Calculating FID Score....
[INFO] 2021-01-16 04:41:08 > Calculating Inception Score....
[INFO] 2021-01-16 04:41:23 > Calculate F_beta Score....
[INFO] 2021-01-16 04:42:34 > Calculate Accuracies....
[INFO] 2021-01-16 04:42:41 > Calculate Accuracies....
[INFO] 2021-01-16 04:42:56 > F_8 score (Step: 82000, Using valid images): 0.6758594441247133
[INFO] 2021-01-16 04:42:56 > F_1/8 score (Step: 82000, Using valid images): 0.9004414319691164
[INFO] 2021-01-16 04:42:56 > FID score (Step: 82000, Using valid moments): 52.59470382717751
[INFO] 2021-01-16 04:42:56 > Inception score (Step: 82000, 10000 generated images): 8.337264060974121
[INFO] 2021-01-16 04:42:56 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 04:42:58 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 04:44:02 > Step:   82100 Progress: 82.1% Elapsed: 16:27:08 temperature: no ada_p: No Discriminator_loss: 0.517786 Generator_loss: 2.50947 
[INFO] 2021-01-16 04:45:07 > Step:   82200 Progress: 82.2% Elapsed: 16:28:13 temperature: no ada_p: No Discriminator_loss: 0.407905 Generator_loss: 2.27028 
[INFO] 2021-01-16 04:46:14 > Step:   82300 Progress: 82.3% Elapsed: 16:29:19 temperature: no ada_p: No Discriminator_loss: 0.388711 Generator_loss: 1.35436 
[INFO] 2021-01-16 04:47:19 > Step:   82400 Progress: 82.4% Elapsed: 16:30:24 temperature: no ada_p: No Discriminator_loss: 0.442906 Generator_loss: 1.15846 
[INFO] 2021-01-16 04:48:24 > Step:   82500 Progress: 82.5% Elapsed: 16:31:29 temperature: no ada_p: No Discriminator_loss: 0.214972 Generator_loss: 1.43597 
[INFO] 2021-01-16 04:49:29 > Step:   82600 Progress: 82.6% Elapsed: 16:32:34 temperature: no ada_p: No Discriminator_loss: 0.433041 Generator_loss: 2.33188 
[INFO] 2021-01-16 04:50:35 > Step:   82700 Progress: 82.7% Elapsed: 16:33:41 temperature: no ada_p: No Discriminator_loss: 0.359315 Generator_loss: 2.63565 
[INFO] 2021-01-16 04:51:40 > Step:   82800 Progress: 82.8% Elapsed: 16:34:46 temperature: no ada_p: No Discriminator_loss: 0.76553 Generator_loss: 2.4615 
[INFO] 2021-01-16 04:52:45 > Step:   82900 Progress: 82.9% Elapsed: 16:35:51 temperature: no ada_p: No Discriminator_loss: 0.255305 Generator_loss: 2.18094 
[INFO] 2021-01-16 04:53:50 > Step:   83000 Progress: 83.0% Elapsed: 16:36:56 temperature: no ada_p: No Discriminator_loss: 0.405225 Generator_loss: 2.72648 
[INFO] 2021-01-16 04:54:56 > Step:   83100 Progress: 83.1% Elapsed: 16:38:02 temperature: no ada_p: No Discriminator_loss: 0.498756 Generator_loss: 2.46099 
[INFO] 2021-01-16 04:56:01 > Step:   83200 Progress: 83.2% Elapsed: 16:39:07 temperature: no ada_p: No Discriminator_loss: 0.346122 Generator_loss: 2.38968 
[INFO] 2021-01-16 04:57:06 > Step:   83300 Progress: 83.3% Elapsed: 16:40:12 temperature: no ada_p: No Discriminator_loss: 0.251713 Generator_loss: 2.40419 
[INFO] 2021-01-16 04:58:11 > Step:   83400 Progress: 83.4% Elapsed: 16:41:17 temperature: no ada_p: No Discriminator_loss: 0.535398 Generator_loss: 0.901103 
[INFO] 2021-01-16 04:59:18 > Step:   83500 Progress: 83.5% Elapsed: 16:42:23 temperature: no ada_p: No Discriminator_loss: 0.36619 Generator_loss: 1.24715 
[INFO] 2021-01-16 05:00:23 > Step:   83600 Progress: 83.6% Elapsed: 16:43:28 temperature: no ada_p: No Discriminator_loss: 0.26091 Generator_loss: 1.31573 
[INFO] 2021-01-16 05:01:28 > Step:   83700 Progress: 83.7% Elapsed: 16:44:33 temperature: no ada_p: No Discriminator_loss: 0.259818 Generator_loss: 1.44209 
[INFO] 2021-01-16 05:02:33 > Step:   83800 Progress: 83.8% Elapsed: 16:45:38 temperature: no ada_p: No Discriminator_loss: 0.142508 Generator_loss: 1.6088 
[INFO] 2021-01-16 05:03:39 > Step:   83900 Progress: 83.9% Elapsed: 16:46:45 temperature: no ada_p: No Discriminator_loss: 0.568553 Generator_loss: 0.969797 
[INFO] 2021-01-16 05:04:44 > Step:   84000 Progress: 84.0% Elapsed: 16:47:50 temperature: no ada_p: No Discriminator_loss: 0.65794 Generator_loss: 1.05989 
[INFO] 2021-01-16 05:04:44 > Start Evaluation (84000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:04:44 > Calculating FID Score....
[INFO] 2021-01-16 05:05:10 > Calculating Inception Score....
[INFO] 2021-01-16 05:05:26 > Calculate F_beta Score....
[INFO] 2021-01-16 05:06:37 > Calculate Accuracies....
[INFO] 2021-01-16 05:06:44 > Calculate Accuracies....
[INFO] 2021-01-16 05:06:59 > F_8 score (Step: 84000, Using valid images): 0.6798703396330983
[INFO] 2021-01-16 05:06:59 > F_1/8 score (Step: 84000, Using valid images): 0.8590282508356509
[INFO] 2021-01-16 05:06:59 > FID score (Step: 84000, Using valid moments): 54.19449757163375
[INFO] 2021-01-16 05:06:59 > Inception score (Step: 84000, 10000 generated images): 8.500458717346191
[INFO] 2021-01-16 05:06:59 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 05:07:00 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:08:05 > Step:   84100 Progress: 84.1% Elapsed: 16:51:10 temperature: no ada_p: No Discriminator_loss: 0.222852 Generator_loss: 1.59513 
[INFO] 2021-01-16 05:09:10 > Step:   84200 Progress: 84.2% Elapsed: 16:52:15 temperature: no ada_p: No Discriminator_loss: 0.441021 Generator_loss: 1.18314 
[INFO] 2021-01-16 05:10:16 > Step:   84300 Progress: 84.3% Elapsed: 16:53:22 temperature: no ada_p: No Discriminator_loss: 0.404772 Generator_loss: 1.18305 
[INFO] 2021-01-16 05:11:21 > Step:   84400 Progress: 84.4% Elapsed: 16:54:27 temperature: no ada_p: No Discriminator_loss: 0.355178 Generator_loss: 1.21636 
[INFO] 2021-01-16 05:12:26 > Step:   84500 Progress: 84.5% Elapsed: 16:55:32 temperature: no ada_p: No Discriminator_loss: 0.291484 Generator_loss: 1.27457 
[INFO] 2021-01-16 05:13:31 > Step:   84600 Progress: 84.6% Elapsed: 16:56:37 temperature: no ada_p: No Discriminator_loss: 0.335926 Generator_loss: 2.33786 
[INFO] 2021-01-16 05:14:37 > Step:   84700 Progress: 84.7% Elapsed: 16:57:43 temperature: no ada_p: No Discriminator_loss: 0.377964 Generator_loss: 1.04832 
[INFO] 2021-01-16 05:15:42 > Step:   84800 Progress: 84.8% Elapsed: 16:58:48 temperature: no ada_p: No Discriminator_loss: 0.294309 Generator_loss: 1.27155 
[INFO] 2021-01-16 05:16:47 > Step:   84900 Progress: 84.9% Elapsed: 16:59:53 temperature: no ada_p: No Discriminator_loss: 0.41939 Generator_loss: 1.15737 
[INFO] 2021-01-16 05:17:53 > Step:   85000 Progress: 85.0% Elapsed: 17:00:58 temperature: no ada_p: No Discriminator_loss: 0.388602 Generator_loss: 1.24362 
[INFO] 2021-01-16 05:18:59 > Step:   85100 Progress: 85.1% Elapsed: 17:02:04 temperature: no ada_p: No Discriminator_loss: 0.648549 Generator_loss: 2.50302 
[INFO] 2021-01-16 05:20:04 > Step:   85200 Progress: 85.2% Elapsed: 17:03:09 temperature: no ada_p: No Discriminator_loss: 0.26599 Generator_loss: 2.36266 
[INFO] 2021-01-16 05:21:09 > Step:   85300 Progress: 85.3% Elapsed: 17:04:14 temperature: no ada_p: No Discriminator_loss: 0.391023 Generator_loss: 1.22852 
[INFO] 2021-01-16 05:22:14 > Step:   85400 Progress: 85.4% Elapsed: 17:05:20 temperature: no ada_p: No Discriminator_loss: 0.434902 Generator_loss: 1.27333 
[INFO] 2021-01-16 05:23:20 > Step:   85500 Progress: 85.5% Elapsed: 17:06:26 temperature: no ada_p: No Discriminator_loss: 0.276503 Generator_loss: 1.34284 
[INFO] 2021-01-16 05:24:25 > Step:   85600 Progress: 85.6% Elapsed: 17:07:31 temperature: no ada_p: No Discriminator_loss: 0.363479 Generator_loss: 1.21626 
[INFO] 2021-01-16 05:25:30 > Step:   85700 Progress: 85.7% Elapsed: 17:08:36 temperature: no ada_p: No Discriminator_loss: 0.407098 Generator_loss: 1.28015 
[INFO] 2021-01-16 05:26:35 > Step:   85800 Progress: 85.8% Elapsed: 17:09:41 temperature: no ada_p: No Discriminator_loss: 0.242226 Generator_loss: 1.1583 
[INFO] 2021-01-16 05:27:42 > Step:   85900 Progress: 85.9% Elapsed: 17:10:47 temperature: no ada_p: No Discriminator_loss: 0.301122 Generator_loss: 1.39951 
[INFO] 2021-01-16 05:28:47 > Step:   86000 Progress: 86.0% Elapsed: 17:11:52 temperature: no ada_p: No Discriminator_loss: 0.36594 Generator_loss: 1.27813 
[INFO] 2021-01-16 05:28:47 > Start Evaluation (86000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:28:47 > Calculating FID Score....
[INFO] 2021-01-16 05:29:12 > Calculating Inception Score....
[INFO] 2021-01-16 05:29:28 > Calculate F_beta Score....
[INFO] 2021-01-16 05:30:39 > Calculate Accuracies....
[INFO] 2021-01-16 05:30:46 > Calculate Accuracies....
[INFO] 2021-01-16 05:31:01 > F_8 score (Step: 86000, Using valid images): 0.6803754290686587
[INFO] 2021-01-16 05:31:01 > F_1/8 score (Step: 86000, Using valid images): 0.9020651488894986
[INFO] 2021-01-16 05:31:01 > FID score (Step: 86000, Using valid moments): 53.27986174368863
[INFO] 2021-01-16 05:31:01 > Inception score (Step: 86000, 10000 generated images): 8.167864799499512
[INFO] 2021-01-16 05:31:01 > Best FID score (Step: 72000, Using valid moments): 51.64001453116447
[INFO] 2021-01-16 05:31:02 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:32:07 > Step:   86100 Progress: 86.1% Elapsed: 17:15:12 temperature: no ada_p: No Discriminator_loss: 0.556582 Generator_loss: 1.18692 
[INFO] 2021-01-16 05:33:13 > Step:   86200 Progress: 86.2% Elapsed: 17:16:19 temperature: no ada_p: No Discriminator_loss: 0.25735 Generator_loss: 1.26739 
[INFO] 2021-01-16 05:34:18 > Step:   86300 Progress: 86.3% Elapsed: 17:17:24 temperature: no ada_p: No Discriminator_loss: 0.270759 Generator_loss: 1.29493 
[INFO] 2021-01-16 05:35:23 > Step:   86400 Progress: 86.4% Elapsed: 17:18:29 temperature: no ada_p: No Discriminator_loss: 0.358657 Generator_loss: 1.30499 
[INFO] 2021-01-16 05:36:28 > Step:   86500 Progress: 86.5% Elapsed: 17:19:34 temperature: no ada_p: No Discriminator_loss: 0.274458 Generator_loss: 1.29722 
[INFO] 2021-01-16 05:37:34 > Step:   86600 Progress: 86.6% Elapsed: 17:20:40 temperature: no ada_p: No Discriminator_loss: 0.26636 Generator_loss: 1.14194 
[INFO] 2021-01-16 05:38:39 > Step:   86700 Progress: 86.7% Elapsed: 17:21:45 temperature: no ada_p: No Discriminator_loss: 0.414095 Generator_loss: 2.42495 
[INFO] 2021-01-16 05:39:44 > Step:   86800 Progress: 86.8% Elapsed: 17:22:50 temperature: no ada_p: No Discriminator_loss: 0.18682 Generator_loss: 2.37239 
[INFO] 2021-01-16 05:40:49 > Step:   86900 Progress: 86.9% Elapsed: 17:23:55 temperature: no ada_p: No Discriminator_loss: 0.356019 Generator_loss: 2.07764 
[INFO] 2021-01-16 05:41:56 > Step:   87000 Progress: 87.0% Elapsed: 17:25:01 temperature: no ada_p: No Discriminator_loss: 0.312018 Generator_loss: 2.29833 
[INFO] 2021-01-16 05:43:01 > Step:   87100 Progress: 87.1% Elapsed: 17:26:06 temperature: no ada_p: No Discriminator_loss: 0.360432 Generator_loss: 2.44904 
[INFO] 2021-01-16 05:44:06 > Step:   87200 Progress: 87.2% Elapsed: 17:27:11 temperature: no ada_p: No Discriminator_loss: 0.238223 Generator_loss: 2.34046 
[INFO] 2021-01-16 05:45:11 > Step:   87300 Progress: 87.3% Elapsed: 17:28:16 temperature: no ada_p: No Discriminator_loss: 0.236762 Generator_loss: 2.3803 
[INFO] 2021-01-16 05:46:17 > Step:   87400 Progress: 87.4% Elapsed: 17:29:23 temperature: no ada_p: No Discriminator_loss: 0.332475 Generator_loss: 2.54705 
[INFO] 2021-01-16 05:47:22 > Step:   87500 Progress: 87.5% Elapsed: 17:30:28 temperature: no ada_p: No Discriminator_loss: 0.384495 Generator_loss: 2.441 
[INFO] 2021-01-16 05:48:27 > Step:   87600 Progress: 87.6% Elapsed: 17:31:33 temperature: no ada_p: No Discriminator_loss: 0.273041 Generator_loss: 2.39016 
[INFO] 2021-01-16 05:49:32 > Step:   87700 Progress: 87.7% Elapsed: 17:32:38 temperature: no ada_p: No Discriminator_loss: 0.341399 Generator_loss: 2.54884 
[INFO] 2021-01-16 05:50:38 > Step:   87800 Progress: 87.8% Elapsed: 17:33:44 temperature: no ada_p: No Discriminator_loss: 0.563088 Generator_loss: 2.33119 
[INFO] 2021-01-16 05:51:43 > Step:   87900 Progress: 87.9% Elapsed: 17:34:49 temperature: no ada_p: No Discriminator_loss: 0.258581 Generator_loss: 2.40154 
[INFO] 2021-01-16 05:52:48 > Step:   88000 Progress: 88.0% Elapsed: 17:35:54 temperature: no ada_p: No Discriminator_loss: 0.637415 Generator_loss: 0.865744 
[INFO] 2021-01-16 05:52:48 > Start Evaluation (88000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:52:48 > Calculating FID Score....
[INFO] 2021-01-16 05:53:14 > Calculating Inception Score....
[INFO] 2021-01-16 05:53:30 > Calculate F_beta Score....
[INFO] 2021-01-16 05:54:41 > Calculate Accuracies....
[INFO] 2021-01-16 05:54:49 > Calculate Accuracies....
[INFO] 2021-01-16 05:55:04 > F_8 score (Step: 88000, Using valid images): 0.697645435014739
[INFO] 2021-01-16 05:55:04 > F_1/8 score (Step: 88000, Using valid images): 0.8979702727809555
[INFO] 2021-01-16 05:55:04 > FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 05:55:04 > Inception score (Step: 88000, 10000 generated images): 8.342339515686035
[INFO] 2021-01-16 05:55:04 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 05:55:06 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 05:56:11 > Step:   88100 Progress: 88.1% Elapsed: 17:39:17 temperature: no ada_p: No Discriminator_loss: 0.30907 Generator_loss: 1.34203 
[INFO] 2021-01-16 05:57:17 > Step:   88200 Progress: 88.2% Elapsed: 17:40:23 temperature: no ada_p: No Discriminator_loss: 0.300692 Generator_loss: 1.22323 
[INFO] 2021-01-16 05:58:22 > Step:   88300 Progress: 88.3% Elapsed: 17:41:28 temperature: no ada_p: No Discriminator_loss: 0.210461 Generator_loss: 1.41041 
[INFO] 2021-01-16 05:59:27 > Step:   88400 Progress: 88.4% Elapsed: 17:42:33 temperature: no ada_p: No Discriminator_loss: 0.345886 Generator_loss: 1.32604 
[INFO] 2021-01-16 06:00:32 > Step:   88500 Progress: 88.5% Elapsed: 17:43:38 temperature: no ada_p: No Discriminator_loss: 0.113099 Generator_loss: 1.5999 
[INFO] 2021-01-16 06:01:39 > Step:   88600 Progress: 88.6% Elapsed: 17:44:44 temperature: no ada_p: No Discriminator_loss: 0.304745 Generator_loss: 1.26042 
[INFO] 2021-01-16 06:02:44 > Step:   88700 Progress: 88.7% Elapsed: 17:45:49 temperature: no ada_p: No Discriminator_loss: 0.33601 Generator_loss: 1.00518 
[INFO] 2021-01-16 06:03:49 > Step:   88800 Progress: 88.8% Elapsed: 17:46:54 temperature: no ada_p: No Discriminator_loss: 0.542294 Generator_loss: 0.99596 
[INFO] 2021-01-16 06:04:54 > Step:   88900 Progress: 88.9% Elapsed: 17:47:59 temperature: no ada_p: No Discriminator_loss: 0.22671 Generator_loss: 1.54639 
[INFO] 2021-01-16 06:06:00 > Step:   89000 Progress: 89.0% Elapsed: 17:49:06 temperature: no ada_p: No Discriminator_loss: 0.349036 Generator_loss: 1.04984 
[INFO] 2021-01-16 06:07:05 > Step:   89100 Progress: 89.1% Elapsed: 17:50:11 temperature: no ada_p: No Discriminator_loss: 0.35132 Generator_loss: 1.31662 
[INFO] 2021-01-16 06:08:10 > Step:   89200 Progress: 89.2% Elapsed: 17:51:16 temperature: no ada_p: No Discriminator_loss: 0.445883 Generator_loss: 1.21169 
[INFO] 2021-01-16 06:09:15 > Step:   89300 Progress: 89.3% Elapsed: 17:52:21 temperature: no ada_p: No Discriminator_loss: 0.26197 Generator_loss: 1.50204 
[INFO] 2021-01-16 06:10:21 > Step:   89400 Progress: 89.4% Elapsed: 17:53:27 temperature: no ada_p: No Discriminator_loss: 0.554685 Generator_loss: 1.20241 
[INFO] 2021-01-16 06:11:26 > Step:   89500 Progress: 89.5% Elapsed: 17:54:32 temperature: no ada_p: No Discriminator_loss: 0.383605 Generator_loss: 1.26479 
[INFO] 2021-01-16 06:12:32 > Step:   89600 Progress: 89.6% Elapsed: 17:55:37 temperature: no ada_p: No Discriminator_loss: 0.124543 Generator_loss: 1.72271 
[INFO] 2021-01-16 06:13:37 > Step:   89700 Progress: 89.7% Elapsed: 17:56:42 temperature: no ada_p: No Discriminator_loss: 0.578461 Generator_loss: 0.870077 
[INFO] 2021-01-16 06:14:43 > Step:   89800 Progress: 89.8% Elapsed: 17:57:49 temperature: no ada_p: No Discriminator_loss: 0.553221 Generator_loss: 1.02951 
[INFO] 2021-01-16 06:15:48 > Step:   89900 Progress: 89.9% Elapsed: 17:58:54 temperature: no ada_p: No Discriminator_loss: 0.25892 Generator_loss: 2.50815 
[INFO] 2021-01-16 06:16:53 > Step:   90000 Progress: 90.0% Elapsed: 17:59:59 temperature: no ada_p: No Discriminator_loss: 0.345481 Generator_loss: 2.48926 
[INFO] 2021-01-16 06:16:53 > Start Evaluation (90000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 06:16:53 > Calculating FID Score....
[INFO] 2021-01-16 06:17:19 > Calculating Inception Score....
[INFO] 2021-01-16 06:17:35 > Calculate F_beta Score....
[INFO] 2021-01-16 06:18:46 > Calculate Accuracies....
[INFO] 2021-01-16 06:18:53 > Calculate Accuracies....
[INFO] 2021-01-16 06:19:09 > F_8 score (Step: 90000, Using valid images): 0.6749320457644805
[INFO] 2021-01-16 06:19:09 > F_1/8 score (Step: 90000, Using valid images): 0.8804429265671536
[INFO] 2021-01-16 06:19:09 > FID score (Step: 90000, Using valid moments): 53.73155973860912
[INFO] 2021-01-16 06:19:09 > Inception score (Step: 90000, 10000 generated images): 8.12299633026123
[INFO] 2021-01-16 06:19:09 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 06:19:10 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 06:20:16 > Step:   90100 Progress: 90.1% Elapsed: 18:03:22 temperature: no ada_p: No Discriminator_loss: 0.403897 Generator_loss: 2.49957 
[INFO] 2021-01-16 06:21:21 > Step:   90200 Progress: 90.2% Elapsed: 18:04:27 temperature: no ada_p: No Discriminator_loss: 0.304673 Generator_loss: 2.40067 
[INFO] 2021-01-16 06:22:26 > Step:   90300 Progress: 90.3% Elapsed: 18:05:32 temperature: no ada_p: No Discriminator_loss: 0.667178 Generator_loss: 2.47337 
[INFO] 2021-01-16 06:23:31 > Step:   90400 Progress: 90.4% Elapsed: 18:06:37 temperature: no ada_p: No Discriminator_loss: 0.446928 Generator_loss: 1.06705 
[INFO] 2021-01-16 06:24:37 > Step:   90500 Progress: 90.5% Elapsed: 18:07:43 temperature: no ada_p: No Discriminator_loss: 0.908221 Generator_loss: 0.658686 
[INFO] 2021-01-16 06:25:42 > Step:   90600 Progress: 90.6% Elapsed: 18:08:48 temperature: no ada_p: No Discriminator_loss: 0.292402 Generator_loss: 1.26772 
[INFO] 2021-01-16 06:26:47 > Step:   90700 Progress: 90.7% Elapsed: 18:09:53 temperature: no ada_p: No Discriminator_loss: 0.421316 Generator_loss: 1.08877 
[INFO] 2021-01-16 06:27:52 > Step:   90800 Progress: 90.8% Elapsed: 18:10:58 temperature: no ada_p: No Discriminator_loss: 0.624413 Generator_loss: 1.15401 
[INFO] 2021-01-16 06:28:58 > Step:   90900 Progress: 90.9% Elapsed: 18:12:04 temperature: no ada_p: No Discriminator_loss: 0.36691 Generator_loss: 1.23799 
[INFO] 2021-01-16 06:30:03 > Step:   91000 Progress: 91.0% Elapsed: 18:13:09 temperature: no ada_p: No Discriminator_loss: 0.431339 Generator_loss: 1.29552 
[INFO] 2021-01-16 06:31:08 > Step:   91100 Progress: 91.1% Elapsed: 18:14:14 temperature: no ada_p: No Discriminator_loss: 0.349392 Generator_loss: 1.18599 
[INFO] 2021-01-16 06:32:13 > Step:   91200 Progress: 91.2% Elapsed: 18:15:19 temperature: no ada_p: No Discriminator_loss: 0.757161 Generator_loss: 1.02916 
[INFO] 2021-01-16 06:33:20 > Step:   91300 Progress: 91.3% Elapsed: 18:16:25 temperature: no ada_p: No Discriminator_loss: 0.400244 Generator_loss: 2.66042 
[INFO] 2021-01-16 06:34:25 > Step:   91400 Progress: 91.4% Elapsed: 18:17:30 temperature: no ada_p: No Discriminator_loss: 0.784623 Generator_loss: 0.975698 
[INFO] 2021-01-16 06:35:30 > Step:   91500 Progress: 91.5% Elapsed: 18:18:35 temperature: no ada_p: No Discriminator_loss: 0.50321 Generator_loss: 0.774052 
[INFO] 2021-01-16 06:36:35 > Step:   91600 Progress: 91.6% Elapsed: 18:19:40 temperature: no ada_p: No Discriminator_loss: 0.600563 Generator_loss: 1.10299 
[INFO] 2021-01-16 06:37:41 > Step:   91700 Progress: 91.7% Elapsed: 18:20:46 temperature: no ada_p: No Discriminator_loss: 0.71425 Generator_loss: 2.2548 
[INFO] 2021-01-16 06:38:46 > Step:   91800 Progress: 91.8% Elapsed: 18:21:51 temperature: no ada_p: No Discriminator_loss: 0.207052 Generator_loss: 2.27442 
[INFO] 2021-01-16 06:39:51 > Step:   91900 Progress: 91.9% Elapsed: 18:22:56 temperature: no ada_p: No Discriminator_loss: 0.164292 Generator_loss: 1.44634 
[INFO] 2021-01-16 06:40:56 > Step:   92000 Progress: 92.0% Elapsed: 18:24:01 temperature: no ada_p: No Discriminator_loss: 0.428405 Generator_loss: 0.957767 
[INFO] 2021-01-16 06:40:56 > Start Evaluation (92000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 06:40:56 > Calculating FID Score....
[INFO] 2021-01-16 06:41:21 > Calculating Inception Score....
[INFO] 2021-01-16 06:41:37 > Calculate F_beta Score....
[INFO] 2021-01-16 06:42:49 > Calculate Accuracies....
[INFO] 2021-01-16 06:42:56 > Calculate Accuracies....
[INFO] 2021-01-16 06:43:11 > F_8 score (Step: 92000, Using valid images): 0.6885210883058215
[INFO] 2021-01-16 06:43:11 > F_1/8 score (Step: 92000, Using valid images): 0.8802227381155978
[INFO] 2021-01-16 06:43:11 > FID score (Step: 92000, Using valid moments): 53.72035902375603
[INFO] 2021-01-16 06:43:11 > Inception score (Step: 92000, 10000 generated images): 8.100245475769043
[INFO] 2021-01-16 06:43:11 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 06:43:12 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 06:44:18 > Step:   92100 Progress: 92.1% Elapsed: 18:27:24 temperature: no ada_p: No Discriminator_loss: 0.422717 Generator_loss: 1.08556 
[INFO] 2021-01-16 06:45:23 > Step:   92200 Progress: 92.2% Elapsed: 18:28:29 temperature: no ada_p: No Discriminator_loss: 0.339154 Generator_loss: 1.33239 
[INFO] 2021-01-16 06:46:28 > Step:   92300 Progress: 92.3% Elapsed: 18:29:34 temperature: no ada_p: No Discriminator_loss: 0.301791 Generator_loss: 1.09593 
[INFO] 2021-01-16 06:47:33 > Step:   92400 Progress: 92.4% Elapsed: 18:30:39 temperature: no ada_p: No Discriminator_loss: 0.197798 Generator_loss: 1.54523 
[INFO] 2021-01-16 06:48:39 > Step:   92500 Progress: 92.5% Elapsed: 18:31:45 temperature: no ada_p: No Discriminator_loss: 0.12746 Generator_loss: 1.31892 
[INFO] 2021-01-16 06:49:45 > Step:   92600 Progress: 92.6% Elapsed: 18:32:50 temperature: no ada_p: No Discriminator_loss: 0.503504 Generator_loss: 1.12522 
[INFO] 2021-01-16 06:50:50 > Step:   92700 Progress: 92.7% Elapsed: 18:33:55 temperature: no ada_p: No Discriminator_loss: 0.401051 Generator_loss: 1.23532 
[INFO] 2021-01-16 06:51:55 > Step:   92800 Progress: 92.8% Elapsed: 18:35:00 temperature: no ada_p: No Discriminator_loss: 0.279745 Generator_loss: 1.44753 
[INFO] 2021-01-16 06:53:01 > Step:   92900 Progress: 92.9% Elapsed: 18:36:06 temperature: no ada_p: No Discriminator_loss: 0.458925 Generator_loss: 2.59964 
[INFO] 2021-01-16 06:54:06 > Step:   93000 Progress: 93.0% Elapsed: 18:37:11 temperature: no ada_p: No Discriminator_loss: 0.292804 Generator_loss: 2.36326 
[INFO] 2021-01-16 06:55:11 > Step:   93100 Progress: 93.1% Elapsed: 18:38:17 temperature: no ada_p: No Discriminator_loss: 0.26221 Generator_loss: 2.34045 
[INFO] 2021-01-16 06:56:16 > Step:   93200 Progress: 93.2% Elapsed: 18:39:22 temperature: no ada_p: No Discriminator_loss: 0.293107 Generator_loss: 2.28074 
[INFO] 2021-01-16 06:57:22 > Step:   93300 Progress: 93.3% Elapsed: 18:40:28 temperature: no ada_p: No Discriminator_loss: 0.366634 Generator_loss: 2.5673 
[INFO] 2021-01-16 06:58:27 > Step:   93400 Progress: 93.4% Elapsed: 18:41:33 temperature: no ada_p: No Discriminator_loss: 0.21847 Generator_loss: 2.64534 
[INFO] 2021-01-16 06:59:32 > Step:   93500 Progress: 93.5% Elapsed: 18:42:38 temperature: no ada_p: No Discriminator_loss: 0.232554 Generator_loss: 2.09083 
[INFO] 2021-01-16 07:00:37 > Step:   93600 Progress: 93.6% Elapsed: 18:43:43 temperature: no ada_p: No Discriminator_loss: 0.570897 Generator_loss: 2.53313 
[INFO] 2021-01-16 07:01:44 > Step:   93700 Progress: 93.7% Elapsed: 18:44:49 temperature: no ada_p: No Discriminator_loss: 0.574551 Generator_loss: 1.04772 
[INFO] 2021-01-16 07:02:49 > Step:   93800 Progress: 93.8% Elapsed: 18:45:54 temperature: no ada_p: No Discriminator_loss: 0.458436 Generator_loss: 0.803421 
[INFO] 2021-01-16 07:03:54 > Step:   93900 Progress: 93.9% Elapsed: 18:46:59 temperature: no ada_p: No Discriminator_loss: 0.377183 Generator_loss: 1.24236 
[INFO] 2021-01-16 07:05:00 > Step:   94000 Progress: 94.0% Elapsed: 18:48:06 temperature: no ada_p: No Discriminator_loss: 0.221987 Generator_loss: 2.23601 
[INFO] 2021-01-16 07:05:00 > Start Evaluation (94000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:05:00 > Calculating FID Score....
[INFO] 2021-01-16 07:05:26 > Calculating Inception Score....
[INFO] 2021-01-16 07:05:42 > Calculate F_beta Score....
[INFO] 2021-01-16 07:06:52 > Calculate Accuracies....
[INFO] 2021-01-16 07:06:59 > Calculate Accuracies....
[INFO] 2021-01-16 07:07:14 > F_8 score (Step: 94000, Using valid images): 0.6866099260162762
[INFO] 2021-01-16 07:07:14 > F_1/8 score (Step: 94000, Using valid images): 0.8909203544463119
[INFO] 2021-01-16 07:07:15 > FID score (Step: 94000, Using valid moments): 54.29119133093229
[INFO] 2021-01-16 07:07:15 > Inception score (Step: 94000, 10000 generated images): 8.177952766418457
[INFO] 2021-01-16 07:07:15 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 07:07:16 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:08:20 > Step:   94100 Progress: 94.1% Elapsed: 18:51:26 temperature: no ada_p: No Discriminator_loss: 0.491153 Generator_loss: 2.91298 
[INFO] 2021-01-16 07:09:25 > Step:   94200 Progress: 94.2% Elapsed: 18:52:31 temperature: no ada_p: No Discriminator_loss: 0.336154 Generator_loss: 1.42156 
[INFO] 2021-01-16 07:10:30 > Step:   94300 Progress: 94.3% Elapsed: 18:53:36 temperature: no ada_p: No Discriminator_loss: 0.351306 Generator_loss: 1.28932 
[INFO] 2021-01-16 07:11:37 > Step:   94400 Progress: 94.4% Elapsed: 18:54:42 temperature: no ada_p: No Discriminator_loss: 0.200866 Generator_loss: 1.28758 
[INFO] 2021-01-16 07:12:42 > Step:   94500 Progress: 94.5% Elapsed: 18:55:47 temperature: no ada_p: No Discriminator_loss: 0.483721 Generator_loss: 2.22189 
[INFO] 2021-01-16 07:13:47 > Step:   94600 Progress: 94.6% Elapsed: 18:56:52 temperature: no ada_p: No Discriminator_loss: 0.153998 Generator_loss: 2.1034 
[INFO] 2021-01-16 07:14:52 > Step:   94700 Progress: 94.7% Elapsed: 18:57:57 temperature: no ada_p: No Discriminator_loss: 0.238742 Generator_loss: 2.57224 
[INFO] 2021-01-16 07:15:58 > Step:   94800 Progress: 94.8% Elapsed: 18:59:04 temperature: no ada_p: No Discriminator_loss: 0.196775 Generator_loss: 2.19335 
[INFO] 2021-01-16 07:17:03 > Step:   94900 Progress: 94.9% Elapsed: 19:00:09 temperature: no ada_p: No Discriminator_loss: 0.204347 Generator_loss: 2.35808 
[INFO] 2021-01-16 07:18:08 > Step:   95000 Progress: 95.0% Elapsed: 19:01:14 temperature: no ada_p: No Discriminator_loss: 0.258722 Generator_loss: 1.43213 
[INFO] 2021-01-16 07:19:13 > Step:   95100 Progress: 95.1% Elapsed: 19:02:19 temperature: no ada_p: No Discriminator_loss: 0.260465 Generator_loss: 1.11197 
[INFO] 2021-01-16 07:20:19 > Step:   95200 Progress: 95.2% Elapsed: 19:03:25 temperature: no ada_p: No Discriminator_loss: 0.156638 Generator_loss: 2.45289 
[INFO] 2021-01-16 07:21:24 > Step:   95300 Progress: 95.3% Elapsed: 19:04:30 temperature: no ada_p: No Discriminator_loss: 0.526184 Generator_loss: 2.49559 
[INFO] 2021-01-16 07:22:29 > Step:   95400 Progress: 95.4% Elapsed: 19:05:35 temperature: no ada_p: No Discriminator_loss: 0.283331 Generator_loss: 2.55626 
[INFO] 2021-01-16 07:23:34 > Step:   95500 Progress: 95.5% Elapsed: 19:06:40 temperature: no ada_p: No Discriminator_loss: 0.316675 Generator_loss: 2.25717 
[INFO] 2021-01-16 07:24:41 > Step:   95600 Progress: 95.6% Elapsed: 19:07:46 temperature: no ada_p: No Discriminator_loss: 0.171389 Generator_loss: 1.86842 
[INFO] 2021-01-16 07:25:46 > Step:   95700 Progress: 95.7% Elapsed: 19:08:51 temperature: no ada_p: No Discriminator_loss: 0.363295 Generator_loss: 2.43383 
[INFO] 2021-01-16 07:26:51 > Step:   95800 Progress: 95.8% Elapsed: 19:09:56 temperature: no ada_p: No Discriminator_loss: 0.191787 Generator_loss: 2.2182 
[INFO] 2021-01-16 07:27:56 > Step:   95900 Progress: 95.9% Elapsed: 19:11:01 temperature: no ada_p: No Discriminator_loss: 0.584517 Generator_loss: 2.61168 
[INFO] 2021-01-16 07:29:02 > Step:   96000 Progress: 96.0% Elapsed: 19:12:08 temperature: no ada_p: No Discriminator_loss: 0.165545 Generator_loss: 2.0807 
[INFO] 2021-01-16 07:29:02 > Start Evaluation (96000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:29:02 > Calculating FID Score....
[INFO] 2021-01-16 07:29:28 > Calculating Inception Score....
[INFO] 2021-01-16 07:29:43 > Calculate F_beta Score....
[INFO] 2021-01-16 07:30:54 > Calculate Accuracies....
[INFO] 2021-01-16 07:31:02 > Calculate Accuracies....
[INFO] 2021-01-16 07:31:17 > F_8 score (Step: 96000, Using valid images): 0.6824671467001086
[INFO] 2021-01-16 07:31:17 > F_1/8 score (Step: 96000, Using valid images): 0.8898837275884299
[INFO] 2021-01-16 07:31:17 > FID score (Step: 96000, Using valid moments): 52.48700537805496
[INFO] 2021-01-16 07:31:17 > Inception score (Step: 96000, 10000 generated images): 8.17875862121582
[INFO] 2021-01-16 07:31:17 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 07:31:18 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:32:23 > Step:   96100 Progress: 96.1% Elapsed: 19:15:28 temperature: no ada_p: No Discriminator_loss: 0.244689 Generator_loss: 2.28789 
[INFO] 2021-01-16 07:33:28 > Step:   96200 Progress: 96.2% Elapsed: 19:16:33 temperature: no ada_p: No Discriminator_loss: 0.244919 Generator_loss: 2.40729 
[INFO] 2021-01-16 07:34:33 > Step:   96300 Progress: 96.3% Elapsed: 19:17:38 temperature: no ada_p: No Discriminator_loss: 0.144707 Generator_loss: 2.34285 
[INFO] 2021-01-16 07:35:39 > Step:   96400 Progress: 96.4% Elapsed: 19:18:45 temperature: no ada_p: No Discriminator_loss: 0.115985 Generator_loss: 1.7313 
[INFO] 2021-01-16 07:36:44 > Step:   96500 Progress: 96.5% Elapsed: 19:19:50 temperature: no ada_p: No Discriminator_loss: 0.526439 Generator_loss: 1.10766 
[INFO] 2021-01-16 07:37:49 > Step:   96600 Progress: 96.6% Elapsed: 19:20:55 temperature: no ada_p: No Discriminator_loss: 0.155868 Generator_loss: 1.75121 
[INFO] 2021-01-16 07:38:54 > Step:   96700 Progress: 96.7% Elapsed: 19:22:00 temperature: no ada_p: No Discriminator_loss: 0.334198 Generator_loss: 1.29211 
[INFO] 2021-01-16 07:40:00 > Step:   96800 Progress: 96.8% Elapsed: 19:23:06 temperature: no ada_p: No Discriminator_loss: 0.199231 Generator_loss: 2.25481 
[INFO] 2021-01-16 07:41:05 > Step:   96900 Progress: 96.9% Elapsed: 19:24:11 temperature: no ada_p: No Discriminator_loss: 0.224487 Generator_loss: 2.39893 
[INFO] 2021-01-16 07:42:11 > Step:   97000 Progress: 97.0% Elapsed: 19:25:16 temperature: no ada_p: No Discriminator_loss: 0.161579 Generator_loss: 1.54831 
[INFO] 2021-01-16 07:43:16 > Step:   97100 Progress: 97.1% Elapsed: 19:26:21 temperature: no ada_p: No Discriminator_loss: 0.418571 Generator_loss: 0.989212 
[INFO] 2021-01-16 07:44:22 > Step:   97200 Progress: 97.2% Elapsed: 19:27:27 temperature: no ada_p: No Discriminator_loss: 0.194483 Generator_loss: 2.66762 
[INFO] 2021-01-16 07:45:27 > Step:   97300 Progress: 97.3% Elapsed: 19:28:32 temperature: no ada_p: No Discriminator_loss: 0.270201 Generator_loss: 2.48338 
[INFO] 2021-01-16 07:46:32 > Step:   97400 Progress: 97.4% Elapsed: 19:29:38 temperature: no ada_p: No Discriminator_loss: 0.197612 Generator_loss: 2.32201 
[INFO] 2021-01-16 07:47:37 > Step:   97500 Progress: 97.5% Elapsed: 19:30:43 temperature: no ada_p: No Discriminator_loss: 0.330771 Generator_loss: 2.45812 
[INFO] 2021-01-16 07:48:43 > Step:   97600 Progress: 97.6% Elapsed: 19:31:49 temperature: no ada_p: No Discriminator_loss: 0.342533 Generator_loss: 2.67901 
[INFO] 2021-01-16 07:49:48 > Step:   97700 Progress: 97.7% Elapsed: 19:32:54 temperature: no ada_p: No Discriminator_loss: 0.140812 Generator_loss: 2.08085 
[INFO] 2021-01-16 07:50:54 > Step:   97800 Progress: 97.8% Elapsed: 19:33:59 temperature: no ada_p: No Discriminator_loss: 0.324012 Generator_loss: 2.43456 
[INFO] 2021-01-16 07:52:00 > Step:   97900 Progress: 97.9% Elapsed: 19:35:05 temperature: no ada_p: No Discriminator_loss: 0.480286 Generator_loss: 0.982206 
[INFO] 2021-01-16 07:53:05 > Step:   98000 Progress: 98.0% Elapsed: 19:36:10 temperature: no ada_p: No Discriminator_loss: 0.238233 Generator_loss: 2.60949 
[INFO] 2021-01-16 07:53:05 > Start Evaluation (98000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:53:05 > Calculating FID Score....
[INFO] 2021-01-16 07:53:30 > Calculating Inception Score....
[INFO] 2021-01-16 07:53:46 > Calculate F_beta Score....
[INFO] 2021-01-16 07:54:57 > Calculate Accuracies....
[INFO] 2021-01-16 07:55:05 > Calculate Accuracies....
[INFO] 2021-01-16 07:55:20 > F_8 score (Step: 98000, Using valid images): 0.6652728606610281
[INFO] 2021-01-16 07:55:20 > F_1/8 score (Step: 98000, Using valid images): 0.8636667625777542
[INFO] 2021-01-16 07:55:20 > FID score (Step: 98000, Using valid moments): 54.067311393379896
[INFO] 2021-01-16 07:55:20 > Inception score (Step: 98000, 10000 generated images): 8.295675277709961
[INFO] 2021-01-16 07:55:20 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 07:55:21 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 07:56:25 > Step:   98100 Progress: 98.1% Elapsed: 19:39:31 temperature: no ada_p: No Discriminator_loss: 0.389491 Generator_loss: 2.55073 
[INFO] 2021-01-16 07:57:31 > Step:   98200 Progress: 98.2% Elapsed: 19:40:36 temperature: no ada_p: No Discriminator_loss: 0.24599 Generator_loss: 2.67188 
[INFO] 2021-01-16 07:58:37 > Step:   98300 Progress: 98.3% Elapsed: 19:41:42 temperature: no ada_p: No Discriminator_loss: 0.167273 Generator_loss: 2.49704 
[INFO] 2021-01-16 07:59:42 > Step:   98400 Progress: 98.4% Elapsed: 19:42:47 temperature: no ada_p: No Discriminator_loss: 0.415545 Generator_loss: 2.58953 
[INFO] 2021-01-16 08:00:47 > Step:   98500 Progress: 98.5% Elapsed: 19:43:52 temperature: no ada_p: No Discriminator_loss: 0.195747 Generator_loss: 2.64735 
[INFO] 2021-01-16 08:01:52 > Step:   98600 Progress: 98.6% Elapsed: 19:44:57 temperature: no ada_p: No Discriminator_loss: 0.567776 Generator_loss: 1.29435 
[INFO] 2021-01-16 08:02:58 > Step:   98700 Progress: 98.7% Elapsed: 19:46:04 temperature: no ada_p: No Discriminator_loss: 0.401897 Generator_loss: 1.06418 
[INFO] 2021-01-16 08:04:03 > Step:   98800 Progress: 98.8% Elapsed: 19:47:09 temperature: no ada_p: No Discriminator_loss: 0.160794 Generator_loss: 1.54273 
[INFO] 2021-01-16 08:05:08 > Step:   98900 Progress: 98.9% Elapsed: 19:48:14 temperature: no ada_p: No Discriminator_loss: 0.273439 Generator_loss: 1.30165 
[INFO] 2021-01-16 08:06:13 > Step:   99000 Progress: 99.0% Elapsed: 19:49:19 temperature: no ada_p: No Discriminator_loss: 0.45878 Generator_loss: 2.68242 
[INFO] 2021-01-16 08:07:19 > Step:   99100 Progress: 99.1% Elapsed: 19:50:25 temperature: no ada_p: No Discriminator_loss: 0.121391 Generator_loss: 2.22116 
[INFO] 2021-01-16 08:08:24 > Step:   99200 Progress: 99.2% Elapsed: 19:51:30 temperature: no ada_p: No Discriminator_loss: 0.502428 Generator_loss: 2.60315 
[INFO] 2021-01-16 08:09:29 > Step:   99300 Progress: 99.3% Elapsed: 19:52:35 temperature: no ada_p: No Discriminator_loss: 0.245758 Generator_loss: 2.39189 
[INFO] 2021-01-16 08:10:34 > Step:   99400 Progress: 99.4% Elapsed: 19:53:40 temperature: no ada_p: No Discriminator_loss: 0.186815 Generator_loss: 2.48093 
[INFO] 2021-01-16 08:11:41 > Step:   99500 Progress: 99.5% Elapsed: 19:54:46 temperature: no ada_p: No Discriminator_loss: 0.264731 Generator_loss: 2.5988 
[INFO] 2021-01-16 08:12:46 > Step:   99600 Progress: 99.6% Elapsed: 19:55:51 temperature: no ada_p: No Discriminator_loss: 0.4604 Generator_loss: 2.45462 
[INFO] 2021-01-16 08:13:51 > Step:   99700 Progress: 99.7% Elapsed: 19:56:56 temperature: no ada_p: No Discriminator_loss: 0.202188 Generator_loss: 2.4888 
[INFO] 2021-01-16 08:14:56 > Step:   99800 Progress: 99.8% Elapsed: 19:58:01 temperature: no ada_p: No Discriminator_loss: 0.0984266 Generator_loss: 2.3045 
[INFO] 2021-01-16 08:16:02 > Step:   99900 Progress: 99.9% Elapsed: 19:59:07 temperature: no ada_p: No Discriminator_loss: 0.226531 Generator_loss: 1.41522 
[INFO] 2021-01-16 08:17:07 > Step:  100000 Progress: 100.0% Elapsed: 20:00:12 temperature: no ada_p: No Discriminator_loss: 0.264824 Generator_loss: 1.25613 
[INFO] 2021-01-16 08:17:07 > Start Evaluation (100000 Step): SAGAN-train-2021_01_15_12_16_42
[INFO] 2021-01-16 08:17:07 > Calculating FID Score....
[INFO] 2021-01-16 08:17:32 > Calculating Inception Score....
[INFO] 2021-01-16 08:17:48 > Calculate F_beta Score....
[INFO] 2021-01-16 08:19:00 > Calculate Accuracies....
[INFO] 2021-01-16 08:19:07 > Calculate Accuracies....
[INFO] 2021-01-16 08:19:22 > F_8 score (Step: 100000, Using valid images): 0.6848726754758006
[INFO] 2021-01-16 08:19:22 > F_1/8 score (Step: 100000, Using valid images): 0.8897549000938533
[INFO] 2021-01-16 08:19:22 > FID score (Step: 100000, Using valid moments): 51.62240830920928
[INFO] 2021-01-16 08:19:22 > Inception score (Step: 100000, 10000 generated images): 8.400493621826172
[INFO] 2021-01-16 08:19:22 > Best FID score (Step: 88000, Using valid moments): 51.4136066783812
[INFO] 2021-01-16 08:19:24 > Save model to checkpoints/SAGAN-train-2021_01_15_12_16_42