ICRGAN(P)-train-2020_09_17_13_46_09.log

[INFO] 2020-09-17 13:46:09 > Run name : ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 13:46:09 > {'config_path': './configs/CIFAR10/ICRGAN(P).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': 82624, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-09-17 13:46:09 > {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'projGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': True, 'real_lambda': 10.0, 'fake_lambda': 10.0, 'zcr': True, 'gen_lambda': 0.5, 'dis_lambda': 20.0, 'sigma_noise': 0.05}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 1000}}
[INFO] 2020-09-17 13:46:09 > Loading train datasets...
[INFO] 2020-09-17 13:46:09 > Train dataset size : 50000
[INFO] 2020-09-17 13:46:09 > Loading test datasets...
[INFO] 2020-09-17 13:46:10 > Eval dataset size : 10000
[INFO] 2020-09-17 13:46:10 > Building model...
[INFO] 2020-09-17 13:46:10 > Modules are located on models.big_resnet
[INFO] 2020-09-17 13:46:15 > Number of parameters: 9416196
[INFO] 2020-09-17 13:46:15 > Generator(
  (linear0): Linear(in_features=20, out_features=6144, bias=True)
  (shared): Embedding(10, 128)
  (blocks): ModuleList(
    (0): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (bn2): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (1): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (bn2): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (2): ModuleList(
      (0): Self_Attn(
        (conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_attn): Conv2d(192, 384, 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)
      )
    )
    (3): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (bn2): ConditionalBatchNorm2d_for_skip_and_shared(
          (bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (gain): Linear(in_features=148, out_features=384, bias=False)
          (bias): Linear(in_features=148, out_features=384, bias=False)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
  )
  (bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
  (activation): ReLU(inplace=True)
  (conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (tanh): Tanh()
)
[INFO] 2020-09-17 13:46:15 > Number of parameters: 2415170
[INFO] 2020-09-17 13:46:15 > Discriminator(
  (blocks): ModuleList(
    (0): ModuleList(
      (0): DiscOptBlock(
        (conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(192, 192, 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(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (conv1x1_attn): Conv2d(96, 192, 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(192, 192, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(192, 192, 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)
        (conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(192, 192, 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)
        (conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(192, 192, 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=192, out_features=1, bias=True)
  (embedding): Embedding(10, 192)
)
[INFO] 2020-09-17 13:46:19 > Start training....
[INFO] 2020-09-17 13:48:25 > Step:     100 Progress: 0.1% Elapsed: 0:02:05 temperature: no ada_p: No Discriminator_loss: 1.33423 Generator_loss: 0.207005 
[INFO] 2020-09-17 13:50:31 > Step:     200 Progress: 0.2% Elapsed: 0:04:11 temperature: no ada_p: No Discriminator_loss: 1.56035 Generator_loss: 0.941423 
[INFO] 2020-09-17 13:52:36 > Step:     300 Progress: 0.3% Elapsed: 0:06:16 temperature: no ada_p: No Discriminator_loss: 1.78106 Generator_loss: 0.416498 
[INFO] 2020-09-17 13:54:42 > Step:     400 Progress: 0.4% Elapsed: 0:08:22 temperature: no ada_p: No Discriminator_loss: 1.52874 Generator_loss: 0.492669 
[INFO] 2020-09-17 13:56:47 > Step:     500 Progress: 0.5% Elapsed: 0:10:27 temperature: no ada_p: No Discriminator_loss: 1.73825 Generator_loss: 0.364604 
[INFO] 2020-09-17 13:58:52 > Step:     600 Progress: 0.6% Elapsed: 0:12:32 temperature: no ada_p: No Discriminator_loss: 1.60111 Generator_loss: 0.238074 
[INFO] 2020-09-17 14:00:57 > Step:     700 Progress: 0.7% Elapsed: 0:14:37 temperature: no ada_p: No Discriminator_loss: 1.48251 Generator_loss: 0.951608 
[INFO] 2020-09-17 14:03:02 > Step:     800 Progress: 0.8% Elapsed: 0:16:42 temperature: no ada_p: No Discriminator_loss: 1.79399 Generator_loss: 0.429148 
[INFO] 2020-09-17 14:05:06 > Step:     900 Progress: 0.9% Elapsed: 0:18:47 temperature: no ada_p: No Discriminator_loss: 1.72689 Generator_loss: -0.0325885 
[INFO] 2020-09-17 14:07:11 > Step:    1000 Progress: 1.0% Elapsed: 0:20:52 temperature: no ada_p: No Discriminator_loss: 1.99866 Generator_loss: 0.190368 
[INFO] 2020-09-17 14:09:16 > Step:    1100 Progress: 1.1% Elapsed: 0:22:56 temperature: no ada_p: No Discriminator_loss: 1.8288 Generator_loss: 0.14804 
[INFO] 2020-09-17 14:11:11 > Step:    1200 Progress: 1.2% Elapsed: 0:24:51 temperature: no ada_p: No Discriminator_loss: 1.7092 Generator_loss: 0.00293267 
[INFO] 2020-09-17 14:13:15 > Step:    1300 Progress: 1.3% Elapsed: 0:26:55 temperature: no ada_p: No Discriminator_loss: 1.59472 Generator_loss: 1.19228 
[INFO] 2020-09-17 14:15:19 > Step:    1400 Progress: 1.4% Elapsed: 0:28:59 temperature: no ada_p: No Discriminator_loss: 1.64871 Generator_loss: 0.38649 
[INFO] 2020-09-17 14:17:23 > Step:    1500 Progress: 1.5% Elapsed: 0:31:03 temperature: no ada_p: No Discriminator_loss: 1.64657 Generator_loss: 0.452 
[INFO] 2020-09-17 14:19:27 > Step:    1600 Progress: 1.6% Elapsed: 0:33:07 temperature: no ada_p: No Discriminator_loss: 1.67715 Generator_loss: 0.50932 
[INFO] 2020-09-17 14:21:31 > Step:    1700 Progress: 1.7% Elapsed: 0:35:11 temperature: no ada_p: No Discriminator_loss: 1.81988 Generator_loss: -0.027446 
[INFO] 2020-09-17 14:23:35 > Step:    1800 Progress: 1.8% Elapsed: 0:37:15 temperature: no ada_p: No Discriminator_loss: 1.77643 Generator_loss: 0.343477 
[INFO] 2020-09-17 14:25:39 > Step:    1900 Progress: 1.9% Elapsed: 0:39:19 temperature: no ada_p: No Discriminator_loss: 1.5907 Generator_loss: -0.053711 
[INFO] 2020-09-17 14:27:43 > Step:    2000 Progress: 2.0% Elapsed: 0:41:23 temperature: no ada_p: No Discriminator_loss: 1.76214 Generator_loss: 0.227287 
[INFO] 2020-09-17 14:27:43 > Start Evaluation (2000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 14:29:52 > F_8 score (Step: 2000, Using test images): 0.7764604428070261
[INFO] 2020-09-17 14:29:52 > F_1/8 score (Step: 2000, Using test images): 0.8939569785746291
[INFO] 2020-09-17 14:29:52 > FID score (Step: 2000, Using test moments): 52.588814497963824
[INFO] 2020-09-17 14:29:52 > Inception score (Step: 2000, 10000 generated images): 5.77159309387207
[INFO] 2020-09-17 14:29:52 > Best FID score (Step: 2000, Using test moments): 52.588814497963824
[INFO] 2020-09-17 14:29:57 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 14:32:00 > Step:    2100 Progress: 2.1% Elapsed: 0:45:41 temperature: no ada_p: No Discriminator_loss: 1.77815 Generator_loss: 0.380125 
[INFO] 2020-09-17 14:34:04 > Step:    2200 Progress: 2.2% Elapsed: 0:47:44 temperature: no ada_p: No Discriminator_loss: 1.67476 Generator_loss: 0.406621 
[INFO] 2020-09-17 14:36:04 > Step:    2300 Progress: 2.3% Elapsed: 0:49:44 temperature: no ada_p: No Discriminator_loss: 1.77682 Generator_loss: 0.446588 
[INFO] 2020-09-17 14:38:02 > Step:    2400 Progress: 2.4% Elapsed: 0:51:42 temperature: no ada_p: No Discriminator_loss: 1.64446 Generator_loss: 0.0468898 
[INFO] 2020-09-17 14:40:07 > Step:    2500 Progress: 2.5% Elapsed: 0:53:47 temperature: no ada_p: No Discriminator_loss: 1.87887 Generator_loss: -0.0826257 
[INFO] 2020-09-17 14:42:11 > Step:    2600 Progress: 2.6% Elapsed: 0:55:51 temperature: no ada_p: No Discriminator_loss: 1.75965 Generator_loss: 0.381022 
[INFO] 2020-09-17 14:44:16 > Step:    2700 Progress: 2.7% Elapsed: 0:57:56 temperature: no ada_p: No Discriminator_loss: 1.52662 Generator_loss: 0.170131 
[INFO] 2020-09-17 14:46:20 > Step:    2800 Progress: 2.8% Elapsed: 1:00:01 temperature: no ada_p: No Discriminator_loss: 1.77819 Generator_loss: 0.454365 
[INFO] 2020-09-17 14:48:24 > Step:    2900 Progress: 2.9% Elapsed: 1:02:04 temperature: no ada_p: No Discriminator_loss: 1.73008 Generator_loss: 0.533138 
[INFO] 2020-09-17 14:50:28 > Step:    3000 Progress: 3.0% Elapsed: 1:04:08 temperature: no ada_p: No Discriminator_loss: 1.5471 Generator_loss: 0.365275 
[INFO] 2020-09-17 14:52:32 > Step:    3100 Progress: 3.1% Elapsed: 1:06:12 temperature: no ada_p: No Discriminator_loss: 1.62149 Generator_loss: 0.0780073 
[INFO] 2020-09-17 14:54:36 > Step:    3200 Progress: 3.2% Elapsed: 1:08:17 temperature: no ada_p: No Discriminator_loss: 1.67423 Generator_loss: 0.153451 
[INFO] 2020-09-17 14:56:41 > Step:    3300 Progress: 3.3% Elapsed: 1:10:21 temperature: no ada_p: No Discriminator_loss: 1.70267 Generator_loss: 0.368863 
[INFO] 2020-09-17 14:58:44 > Step:    3400 Progress: 3.4% Elapsed: 1:12:25 temperature: no ada_p: No Discriminator_loss: 1.71361 Generator_loss: 0.23127 
[INFO] 2020-09-17 15:00:48 > Step:    3500 Progress: 3.5% Elapsed: 1:14:28 temperature: no ada_p: No Discriminator_loss: 1.68037 Generator_loss: 0.524892 
[INFO] 2020-09-17 15:02:46 > Step:    3600 Progress: 3.6% Elapsed: 1:16:26 temperature: no ada_p: No Discriminator_loss: 1.70367 Generator_loss: 0.224108 
[INFO] 2020-09-17 15:04:47 > Step:    3700 Progress: 3.7% Elapsed: 1:18:27 temperature: no ada_p: No Discriminator_loss: 1.62335 Generator_loss: 0.692352 
[INFO] 2020-09-17 15:06:51 > Step:    3800 Progress: 3.8% Elapsed: 1:20:31 temperature: no ada_p: No Discriminator_loss: 1.75128 Generator_loss: 0.413492 
[INFO] 2020-09-17 15:08:56 > Step:    3900 Progress: 3.9% Elapsed: 1:22:36 temperature: no ada_p: No Discriminator_loss: 1.69709 Generator_loss: 0.587186 
[INFO] 2020-09-17 15:11:00 > Step:    4000 Progress: 4.0% Elapsed: 1:24:41 temperature: no ada_p: No Discriminator_loss: 1.72817 Generator_loss: 0.40528 
[INFO] 2020-09-17 15:11:01 > Start Evaluation (4000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 15:13:08 > F_8 score (Step: 4000, Using test images): 0.8106366224193489
[INFO] 2020-09-17 15:13:08 > F_1/8 score (Step: 4000, Using test images): 0.9201189091031576
[INFO] 2020-09-17 15:13:08 > FID score (Step: 4000, Using test moments): 43.76343441329675
[INFO] 2020-09-17 15:13:08 > Inception score (Step: 4000, 10000 generated images): 6.378523349761963
[INFO] 2020-09-17 15:13:08 > Best FID score (Step: 4000, Using test moments): 43.76343441329675
[INFO] 2020-09-17 15:13:13 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 15:15:17 > Step:    4100 Progress: 4.1% Elapsed: 1:28:57 temperature: no ada_p: No Discriminator_loss: 1.85089 Generator_loss: 0.54041 
[INFO] 2020-09-17 15:17:23 > Step:    4200 Progress: 4.2% Elapsed: 1:31:03 temperature: no ada_p: No Discriminator_loss: 1.70236 Generator_loss: 0.162944 
[INFO] 2020-09-17 15:19:26 > Step:    4300 Progress: 4.3% Elapsed: 1:33:07 temperature: no ada_p: No Discriminator_loss: 1.73415 Generator_loss: 0.358191 
[INFO] 2020-09-17 15:21:31 > Step:    4400 Progress: 4.4% Elapsed: 1:35:11 temperature: no ada_p: No Discriminator_loss: 1.69311 Generator_loss: 0.245366 
[INFO] 2020-09-17 15:23:36 > Step:    4500 Progress: 4.5% Elapsed: 1:37:16 temperature: no ada_p: No Discriminator_loss: 1.57499 Generator_loss: 0.546542 
[INFO] 2020-09-17 15:25:40 > Step:    4600 Progress: 4.6% Elapsed: 1:39:20 temperature: no ada_p: No Discriminator_loss: 1.78364 Generator_loss: 0.267694 
[INFO] 2020-09-17 15:27:42 > Step:    4700 Progress: 4.7% Elapsed: 1:41:22 temperature: no ada_p: No Discriminator_loss: 1.72184 Generator_loss: 0.0230187 
[INFO] 2020-09-17 15:29:39 > Step:    4800 Progress: 4.8% Elapsed: 1:43:19 temperature: no ada_p: No Discriminator_loss: 1.70918 Generator_loss: 0.464779 
[INFO] 2020-09-17 15:31:43 > Step:    4900 Progress: 4.9% Elapsed: 1:45:24 temperature: no ada_p: No Discriminator_loss: 1.64225 Generator_loss: 0.62932 
[INFO] 2020-09-17 15:33:47 > Step:    5000 Progress: 5.0% Elapsed: 1:47:27 temperature: no ada_p: No Discriminator_loss: 1.5453 Generator_loss: 0.225082 
[INFO] 2020-09-17 15:35:51 > Step:    5100 Progress: 5.1% Elapsed: 1:49:31 temperature: no ada_p: No Discriminator_loss: 1.71913 Generator_loss: 0.150496 
[INFO] 2020-09-17 15:37:55 > Step:    5200 Progress: 5.2% Elapsed: 1:51:35 temperature: no ada_p: No Discriminator_loss: 1.69275 Generator_loss: 0.334805 
[INFO] 2020-09-17 15:39:58 > Step:    5300 Progress: 5.3% Elapsed: 1:53:38 temperature: no ada_p: No Discriminator_loss: 1.79155 Generator_loss: 0.488496 
[INFO] 2020-09-17 15:42:02 > Step:    5400 Progress: 5.4% Elapsed: 1:55:43 temperature: no ada_p: No Discriminator_loss: 1.63295 Generator_loss: 0.240342 
[INFO] 2020-09-17 15:44:06 > Step:    5500 Progress: 5.5% Elapsed: 1:57:46 temperature: no ada_p: No Discriminator_loss: 1.77857 Generator_loss: 0.65729 
[INFO] 2020-09-17 15:46:10 > Step:    5600 Progress: 5.6% Elapsed: 1:59:50 temperature: no ada_p: No Discriminator_loss: 1.81523 Generator_loss: 0.294518 
[INFO] 2020-09-17 15:48:14 > Step:    5700 Progress: 5.7% Elapsed: 2:01:55 temperature: no ada_p: No Discriminator_loss: 1.72779 Generator_loss: 0.234905 
[INFO] 2020-09-17 15:50:19 > Step:    5800 Progress: 5.8% Elapsed: 2:03:59 temperature: no ada_p: No Discriminator_loss: 1.8129 Generator_loss: 0.263455 
[INFO] 2020-09-17 15:52:22 > Step:    5900 Progress: 5.9% Elapsed: 2:06:03 temperature: no ada_p: No Discriminator_loss: 1.80173 Generator_loss: 0.384176 
[INFO] 2020-09-17 15:54:22 > Step:    6000 Progress: 6.0% Elapsed: 2:08:02 temperature: no ada_p: No Discriminator_loss: 1.70378 Generator_loss: 0.436161 
[INFO] 2020-09-17 15:54:22 > Start Evaluation (6000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 15:56:27 > F_8 score (Step: 6000, Using test images): 0.870215601016417
[INFO] 2020-09-17 15:56:27 > F_1/8 score (Step: 6000, Using test images): 0.9363481368973235
[INFO] 2020-09-17 15:56:27 > FID score (Step: 6000, Using test moments): 37.056457045833895
[INFO] 2020-09-17 15:56:27 > Inception score (Step: 6000, 10000 generated images): 7.054178237915039
[INFO] 2020-09-17 15:56:27 > Best FID score (Step: 6000, Using test moments): 37.056457045833895
[INFO] 2020-09-17 15:56:32 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 15:58:35 > Step:    6100 Progress: 6.1% Elapsed: 2:12:16 temperature: no ada_p: No Discriminator_loss: 1.69553 Generator_loss: 0.317502 
[INFO] 2020-09-17 16:00:39 > Step:    6200 Progress: 6.2% Elapsed: 2:14:19 temperature: no ada_p: No Discriminator_loss: 1.73983 Generator_loss: 0.254431 
[INFO] 2020-09-17 16:02:44 > Step:    6300 Progress: 6.3% Elapsed: 2:16:24 temperature: no ada_p: No Discriminator_loss: 1.66281 Generator_loss: 0.416355 
[INFO] 2020-09-17 16:04:50 > Step:    6400 Progress: 6.4% Elapsed: 2:18:30 temperature: no ada_p: No Discriminator_loss: 1.73379 Generator_loss: 0.298736 
[INFO] 2020-09-17 16:06:53 > Step:    6500 Progress: 6.5% Elapsed: 2:20:33 temperature: no ada_p: No Discriminator_loss: 1.73373 Generator_loss: 0.202074 
[INFO] 2020-09-17 16:08:56 > Step:    6600 Progress: 6.6% Elapsed: 2:22:36 temperature: no ada_p: No Discriminator_loss: 1.66577 Generator_loss: 0.535891 
[INFO] 2020-09-17 16:11:00 > Step:    6700 Progress: 6.7% Elapsed: 2:24:40 temperature: no ada_p: No Discriminator_loss: 1.60714 Generator_loss: 0.29053 
[INFO] 2020-09-17 16:13:04 > Step:    6800 Progress: 6.8% Elapsed: 2:26:44 temperature: no ada_p: No Discriminator_loss: 1.79955 Generator_loss: 0.468796 
[INFO] 2020-09-17 16:15:08 > Step:    6900 Progress: 6.9% Elapsed: 2:28:49 temperature: no ada_p: No Discriminator_loss: 1.86086 Generator_loss: 0.103526 
[INFO] 2020-09-17 16:17:12 > Step:    7000 Progress: 7.0% Elapsed: 2:30:53 temperature: no ada_p: No Discriminator_loss: 1.70552 Generator_loss: 0.278594 
[INFO] 2020-09-17 16:19:15 > Step:    7100 Progress: 7.1% Elapsed: 2:32:56 temperature: no ada_p: No Discriminator_loss: 1.81906 Generator_loss: 0.183463 
[INFO] 2020-09-17 16:21:12 > Step:    7200 Progress: 7.2% Elapsed: 2:34:52 temperature: no ada_p: No Discriminator_loss: 1.72545 Generator_loss: 0.375518 
[INFO] 2020-09-17 16:23:16 > Step:    7300 Progress: 7.3% Elapsed: 2:36:56 temperature: no ada_p: No Discriminator_loss: 1.90423 Generator_loss: 0.364876 
[INFO] 2020-09-17 16:25:20 > Step:    7400 Progress: 7.4% Elapsed: 2:39:00 temperature: no ada_p: No Discriminator_loss: 1.60455 Generator_loss: 0.078338 
[INFO] 2020-09-17 16:27:23 > Step:    7500 Progress: 7.5% Elapsed: 2:41:03 temperature: no ada_p: No Discriminator_loss: 1.84387 Generator_loss: 0.181065 
[INFO] 2020-09-17 16:29:28 > Step:    7600 Progress: 7.6% Elapsed: 2:43:08 temperature: no ada_p: No Discriminator_loss: 1.70607 Generator_loss: 0.3139 
[INFO] 2020-09-17 16:31:34 > Step:    7700 Progress: 7.7% Elapsed: 2:45:14 temperature: no ada_p: No Discriminator_loss: 1.73038 Generator_loss: 0.50592 
[INFO] 2020-09-17 16:33:38 > Step:    7800 Progress: 7.8% Elapsed: 2:47:18 temperature: no ada_p: No Discriminator_loss: 1.74406 Generator_loss: 0.403042 
[INFO] 2020-09-17 16:35:42 > Step:    7900 Progress: 7.9% Elapsed: 2:49:22 temperature: no ada_p: No Discriminator_loss: 1.72316 Generator_loss: 0.565846 
[INFO] 2020-09-17 16:37:46 > Step:    8000 Progress: 8.0% Elapsed: 2:51:26 temperature: no ada_p: No Discriminator_loss: 1.82694 Generator_loss: 0.362092 
[INFO] 2020-09-17 16:37:46 > Start Evaluation (8000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 16:39:55 > F_8 score (Step: 8000, Using test images): 0.9028877104419982
[INFO] 2020-09-17 16:39:55 > F_1/8 score (Step: 8000, Using test images): 0.9554177264963989
[INFO] 2020-09-17 16:39:55 > FID score (Step: 8000, Using test moments): 30.518869789918426
[INFO] 2020-09-17 16:39:55 > Inception score (Step: 8000, 10000 generated images): 7.659754753112793
[INFO] 2020-09-17 16:39:55 > Best FID score (Step: 8000, Using test moments): 30.518869789918426
[INFO] 2020-09-17 16:39:59 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 16:42:03 > Step:    8100 Progress: 8.1% Elapsed: 2:55:43 temperature: no ada_p: No Discriminator_loss: 1.73621 Generator_loss: 0.0376057 
[INFO] 2020-09-17 16:44:07 > Step:    8200 Progress: 8.2% Elapsed: 2:57:47 temperature: no ada_p: No Discriminator_loss: 1.7757 Generator_loss: 0.196337 
[INFO] 2020-09-17 16:46:06 > Step:    8300 Progress: 8.3% Elapsed: 2:59:46 temperature: no ada_p: No Discriminator_loss: 1.72886 Generator_loss: 0.25729 
[INFO] 2020-09-17 16:48:07 > Step:    8400 Progress: 8.4% Elapsed: 3:01:47 temperature: no ada_p: No Discriminator_loss: 1.72704 Generator_loss: 0.301405 
[INFO] 2020-09-17 16:50:12 > Step:    8500 Progress: 8.5% Elapsed: 3:03:53 temperature: no ada_p: No Discriminator_loss: 1.63979 Generator_loss: 0.242931 
[INFO] 2020-09-17 16:52:16 > Step:    8600 Progress: 8.6% Elapsed: 3:05:56 temperature: no ada_p: No Discriminator_loss: 1.754 Generator_loss: 0.28229 
[INFO] 2020-09-17 16:54:19 > Step:    8700 Progress: 8.7% Elapsed: 3:07:59 temperature: no ada_p: No Discriminator_loss: 1.80961 Generator_loss: 0.349951 
[INFO] 2020-09-17 16:56:24 > Step:    8800 Progress: 8.8% Elapsed: 3:10:04 temperature: no ada_p: No Discriminator_loss: 1.71346 Generator_loss: 0.355502 
[INFO] 2020-09-17 16:58:28 > Step:    8900 Progress: 8.9% Elapsed: 3:12:08 temperature: no ada_p: No Discriminator_loss: 1.84137 Generator_loss: 0.279752 
[INFO] 2020-09-17 17:00:34 > Step:    9000 Progress: 9.0% Elapsed: 3:14:14 temperature: no ada_p: No Discriminator_loss: 1.8206 Generator_loss: 0.30792 
[INFO] 2020-09-17 17:02:38 > Step:    9100 Progress: 9.1% Elapsed: 3:16:18 temperature: no ada_p: No Discriminator_loss: 1.82011 Generator_loss: 0.140471 
[INFO] 2020-09-17 17:04:43 > Step:    9200 Progress: 9.2% Elapsed: 3:18:23 temperature: no ada_p: No Discriminator_loss: 1.70851 Generator_loss: 0.290913 
[INFO] 2020-09-17 17:06:47 > Step:    9300 Progress: 9.3% Elapsed: 3:20:27 temperature: no ada_p: No Discriminator_loss: 1.86876 Generator_loss: 0.179989 
[INFO] 2020-09-17 17:08:51 > Step:    9400 Progress: 9.4% Elapsed: 3:22:32 temperature: no ada_p: No Discriminator_loss: 1.66761 Generator_loss: 0.25792 
[INFO] 2020-09-17 17:10:55 > Step:    9500 Progress: 9.5% Elapsed: 3:24:36 temperature: no ada_p: No Discriminator_loss: 1.66371 Generator_loss: 0.0817827 
[INFO] 2020-09-17 17:12:52 > Step:    9600 Progress: 9.6% Elapsed: 3:26:32 temperature: no ada_p: No Discriminator_loss: 1.59023 Generator_loss: 0.302692 
[INFO] 2020-09-17 17:14:57 > Step:    9700 Progress: 9.7% Elapsed: 3:28:37 temperature: no ada_p: No Discriminator_loss: 1.63362 Generator_loss: 0.252097 
[INFO] 2020-09-17 17:17:01 > Step:    9800 Progress: 9.8% Elapsed: 3:30:41 temperature: no ada_p: No Discriminator_loss: 1.8109 Generator_loss: 0.025785 
[INFO] 2020-09-17 17:19:07 > Step:    9900 Progress: 9.9% Elapsed: 3:32:47 temperature: no ada_p: No Discriminator_loss: 1.79025 Generator_loss: 0.181092 
[INFO] 2020-09-17 17:21:11 > Step:   10000 Progress: 10.0% Elapsed: 3:34:51 temperature: no ada_p: No Discriminator_loss: 1.66865 Generator_loss: 0.447435 
[INFO] 2020-09-17 17:21:11 > Start Evaluation (10000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 17:23:19 > F_8 score (Step: 10000, Using test images): 0.9480577343200511
[INFO] 2020-09-17 17:23:19 > F_1/8 score (Step: 10000, Using test images): 0.9652692409015902
[INFO] 2020-09-17 17:23:19 > FID score (Step: 10000, Using test moments): 25.352987268100833
[INFO] 2020-09-17 17:23:19 > Inception score (Step: 10000, 10000 generated images): 8.148953437805176
[INFO] 2020-09-17 17:23:19 > Best FID score (Step: 10000, Using test moments): 25.352987268100833
[INFO] 2020-09-17 17:23:23 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 17:25:26 > Step:   10100 Progress: 10.1% Elapsed: 3:39:07 temperature: no ada_p: No Discriminator_loss: 1.76798 Generator_loss: 0.323758 
[INFO] 2020-09-17 17:27:31 > Step:   10200 Progress: 10.2% Elapsed: 3:41:12 temperature: no ada_p: No Discriminator_loss: 1.65454 Generator_loss: 0.314011 
[INFO] 2020-09-17 17:29:35 > Step:   10300 Progress: 10.3% Elapsed: 3:43:15 temperature: no ada_p: No Discriminator_loss: 1.70418 Generator_loss: 0.159226 
[INFO] 2020-09-17 17:31:39 > Step:   10400 Progress: 10.4% Elapsed: 3:45:20 temperature: no ada_p: No Discriminator_loss: 1.66068 Generator_loss: 0.525722 
[INFO] 2020-09-17 17:33:44 > Step:   10500 Progress: 10.5% Elapsed: 3:47:24 temperature: no ada_p: No Discriminator_loss: 1.69961 Generator_loss: 0.308223 
[INFO] 2020-09-17 17:35:48 > Step:   10600 Progress: 10.6% Elapsed: 3:49:28 temperature: no ada_p: No Discriminator_loss: 1.7285 Generator_loss: 0.329842 
[INFO] 2020-09-17 17:37:47 > Step:   10700 Progress: 10.7% Elapsed: 3:51:27 temperature: no ada_p: No Discriminator_loss: 1.71576 Generator_loss: 0.295777 
[INFO] 2020-09-17 17:39:47 > Step:   10800 Progress: 10.8% Elapsed: 3:53:27 temperature: no ada_p: No Discriminator_loss: 1.80387 Generator_loss: 0.220689 
[INFO] 2020-09-17 17:41:52 > Step:   10900 Progress: 10.9% Elapsed: 3:55:32 temperature: no ada_p: No Discriminator_loss: 1.7721 Generator_loss: 0.417151 
[INFO] 2020-09-17 17:43:56 > Step:   11000 Progress: 11.0% Elapsed: 3:57:36 temperature: no ada_p: No Discriminator_loss: 1.75405 Generator_loss: 0.361051 
[INFO] 2020-09-17 17:46:00 > Step:   11100 Progress: 11.1% Elapsed: 3:59:40 temperature: no ada_p: No Discriminator_loss: 1.85846 Generator_loss: 0.0843112 
[INFO] 2020-09-17 17:48:03 > Step:   11200 Progress: 11.2% Elapsed: 4:01:43 temperature: no ada_p: No Discriminator_loss: 1.8368 Generator_loss: 0.341923 
[INFO] 2020-09-17 17:50:08 > Step:   11300 Progress: 11.3% Elapsed: 4:03:49 temperature: no ada_p: No Discriminator_loss: 1.8727 Generator_loss: 0.482662 
[INFO] 2020-09-17 17:52:13 > Step:   11400 Progress: 11.4% Elapsed: 4:05:53 temperature: no ada_p: No Discriminator_loss: 1.85734 Generator_loss: 0.302828 
[INFO] 2020-09-17 17:54:14 > Step:   11500 Progress: 11.5% Elapsed: 4:07:54 temperature: no ada_p: No Discriminator_loss: 1.79483 Generator_loss: 0.24156 
[INFO] 2020-09-17 17:56:18 > Step:   11600 Progress: 11.6% Elapsed: 4:09:59 temperature: no ada_p: No Discriminator_loss: 1.69987 Generator_loss: 0.388413 
[INFO] 2020-09-17 17:58:22 > Step:   11700 Progress: 11.7% Elapsed: 4:12:03 temperature: no ada_p: No Discriminator_loss: 1.65356 Generator_loss: 0.360184 
[INFO] 2020-09-17 18:00:26 > Step:   11800 Progress: 11.8% Elapsed: 4:14:07 temperature: no ada_p: No Discriminator_loss: 1.70117 Generator_loss: 0.384682 
[INFO] 2020-09-17 18:02:31 > Step:   11900 Progress: 11.9% Elapsed: 4:16:11 temperature: no ada_p: No Discriminator_loss: 1.60436 Generator_loss: 0.157068 
[INFO] 2020-09-17 18:04:27 > Step:   12000 Progress: 12.0% Elapsed: 4:18:07 temperature: no ada_p: No Discriminator_loss: 1.79705 Generator_loss: 0.354437 
[INFO] 2020-09-17 18:04:27 > Start Evaluation (12000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 18:06:35 > F_8 score (Step: 12000, Using test images): 0.9616873270233595
[INFO] 2020-09-17 18:06:35 > F_1/8 score (Step: 12000, Using test images): 0.9732420300274054
[INFO] 2020-09-17 18:06:35 > FID score (Step: 12000, Using test moments): 21.012396994304083
[INFO] 2020-09-17 18:06:35 > Inception score (Step: 12000, 10000 generated images): 8.447810173034668
[INFO] 2020-09-17 18:06:35 > Best FID score (Step: 12000, Using test moments): 21.012396994304083
[INFO] 2020-09-17 18:06:39 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 18:08:43 > Step:   12100 Progress: 12.1% Elapsed: 4:22:23 temperature: no ada_p: No Discriminator_loss: 1.67978 Generator_loss: 0.270586 
[INFO] 2020-09-17 18:10:48 > Step:   12200 Progress: 12.2% Elapsed: 4:24:28 temperature: no ada_p: No Discriminator_loss: 1.67537 Generator_loss: 0.278244 
[INFO] 2020-09-17 18:12:51 > Step:   12300 Progress: 12.3% Elapsed: 4:26:32 temperature: no ada_p: No Discriminator_loss: 1.79608 Generator_loss: 0.308781 
[INFO] 2020-09-17 18:14:58 > Step:   12400 Progress: 12.4% Elapsed: 4:28:38 temperature: no ada_p: No Discriminator_loss: 1.64409 Generator_loss: 0.0894627 
[INFO] 2020-09-17 18:17:02 > Step:   12500 Progress: 12.5% Elapsed: 4:30:43 temperature: no ada_p: No Discriminator_loss: 1.69985 Generator_loss: 0.360477 
[INFO] 2020-09-17 18:19:06 > Step:   12600 Progress: 12.6% Elapsed: 4:32:46 temperature: no ada_p: No Discriminator_loss: 1.63773 Generator_loss: 0.275296 
[INFO] 2020-09-17 18:21:09 > Step:   12700 Progress: 12.7% Elapsed: 4:34:49 temperature: no ada_p: No Discriminator_loss: 1.80141 Generator_loss: 0.300375 
[INFO] 2020-09-17 18:23:13 > Step:   12800 Progress: 12.8% Elapsed: 4:36:53 temperature: no ada_p: No Discriminator_loss: 1.66982 Generator_loss: 0.30552 
[INFO] 2020-09-17 18:25:18 > Step:   12900 Progress: 12.9% Elapsed: 4:38:59 temperature: no ada_p: No Discriminator_loss: 1.78207 Generator_loss: 0.418498 
[INFO] 2020-09-17 18:27:23 > Step:   13000 Progress: 13.0% Elapsed: 4:41:03 temperature: no ada_p: No Discriminator_loss: 1.65787 Generator_loss: 0.682774 
[INFO] 2020-09-17 18:29:23 > Step:   13100 Progress: 13.1% Elapsed: 4:43:03 temperature: no ada_p: No Discriminator_loss: 1.78638 Generator_loss: 0.341108 
[INFO] 2020-09-17 18:31:21 > Step:   13200 Progress: 13.2% Elapsed: 4:45:01 temperature: no ada_p: No Discriminator_loss: 1.69197 Generator_loss: 0.209378 
[INFO] 2020-09-17 18:33:25 > Step:   13300 Progress: 13.3% Elapsed: 4:47:05 temperature: no ada_p: No Discriminator_loss: 1.72128 Generator_loss: 0.434698 
[INFO] 2020-09-17 18:35:28 > Step:   13400 Progress: 13.4% Elapsed: 4:49:08 temperature: no ada_p: No Discriminator_loss: 1.7467 Generator_loss: 0.651265 
[INFO] 2020-09-17 18:37:32 > Step:   13500 Progress: 13.5% Elapsed: 4:51:12 temperature: no ada_p: No Discriminator_loss: 1.62256 Generator_loss: 0.21868 
[INFO] 2020-09-17 18:39:36 > Step:   13600 Progress: 13.6% Elapsed: 4:53:16 temperature: no ada_p: No Discriminator_loss: 1.68779 Generator_loss: 0.182163 
[INFO] 2020-09-17 18:41:39 > Step:   13700 Progress: 13.7% Elapsed: 4:55:19 temperature: no ada_p: No Discriminator_loss: 1.74615 Generator_loss: 0.482425 
[INFO] 2020-09-17 18:43:41 > Step:   13800 Progress: 13.8% Elapsed: 4:57:21 temperature: no ada_p: No Discriminator_loss: 1.88467 Generator_loss: 0.402734 
[INFO] 2020-09-17 18:45:45 > Step:   13900 Progress: 13.9% Elapsed: 4:59:25 temperature: no ada_p: No Discriminator_loss: 1.75044 Generator_loss: 0.404754 
[INFO] 2020-09-17 18:47:48 > Step:   14000 Progress: 14.0% Elapsed: 5:01:28 temperature: no ada_p: No Discriminator_loss: 1.92708 Generator_loss: 0.295426 
[INFO] 2020-09-17 18:47:48 > Start Evaluation (14000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 18:49:58 > F_8 score (Step: 14000, Using test images): 0.9672298854175028
[INFO] 2020-09-17 18:49:58 > F_1/8 score (Step: 14000, Using test images): 0.9779392652782697
[INFO] 2020-09-17 18:49:58 > FID score (Step: 14000, Using test moments): 17.925145789829457
[INFO] 2020-09-17 18:49:58 > Inception score (Step: 14000, 10000 generated images): 8.626376152038574
[INFO] 2020-09-17 18:49:58 > Best FID score (Step: 14000, Using test moments): 17.925145789829457
[INFO] 2020-09-17 18:50:02 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 18:52:08 > Step:   14100 Progress: 14.1% Elapsed: 5:05:48 temperature: no ada_p: No Discriminator_loss: 1.74722 Generator_loss: 0.406295 
[INFO] 2020-09-17 18:54:12 > Step:   14200 Progress: 14.2% Elapsed: 5:07:52 temperature: no ada_p: No Discriminator_loss: 1.88223 Generator_loss: 0.42609 
[INFO] 2020-09-17 18:56:09 > Step:   14300 Progress: 14.3% Elapsed: 5:09:49 temperature: no ada_p: No Discriminator_loss: 1.75222 Generator_loss: 0.455679 
[INFO] 2020-09-17 18:58:11 > Step:   14400 Progress: 14.4% Elapsed: 5:11:51 temperature: no ada_p: No Discriminator_loss: 1.79809 Generator_loss: 0.520477 
[INFO] 2020-09-17 19:00:14 > Step:   14500 Progress: 14.5% Elapsed: 5:13:54 temperature: no ada_p: No Discriminator_loss: 1.65016 Generator_loss: 0.192831 
[INFO] 2020-09-17 19:02:18 > Step:   14600 Progress: 14.6% Elapsed: 5:15:59 temperature: no ada_p: No Discriminator_loss: 1.81493 Generator_loss: 0.304693 
[INFO] 2020-09-17 19:04:23 > Step:   14700 Progress: 14.7% Elapsed: 5:18:03 temperature: no ada_p: No Discriminator_loss: 1.71253 Generator_loss: 0.431772 
[INFO] 2020-09-17 19:06:26 > Step:   14800 Progress: 14.8% Elapsed: 5:20:06 temperature: no ada_p: No Discriminator_loss: 1.7751 Generator_loss: 0.326515 
[INFO] 2020-09-17 19:08:29 > Step:   14900 Progress: 14.9% Elapsed: 5:22:09 temperature: no ada_p: No Discriminator_loss: 1.74209 Generator_loss: 0.18754 
[INFO] 2020-09-17 19:10:33 > Step:   15000 Progress: 15.0% Elapsed: 5:24:14 temperature: no ada_p: No Discriminator_loss: 1.64254 Generator_loss: 0.294861 
[INFO] 2020-09-17 19:12:37 > Step:   15100 Progress: 15.1% Elapsed: 5:26:17 temperature: no ada_p: No Discriminator_loss: 1.54345 Generator_loss: 0.477271 
[INFO] 2020-09-17 19:14:41 > Step:   15200 Progress: 15.2% Elapsed: 5:28:21 temperature: no ada_p: No Discriminator_loss: 1.76374 Generator_loss: 0.257989 
[INFO] 2020-09-17 19:16:46 > Step:   15300 Progress: 15.3% Elapsed: 5:30:26 temperature: no ada_p: No Discriminator_loss: 1.779 Generator_loss: 0.427192 
[INFO] 2020-09-17 19:18:50 > Step:   15400 Progress: 15.4% Elapsed: 5:32:30 temperature: no ada_p: No Discriminator_loss: 1.86864 Generator_loss: 0.497683 
[INFO] 2020-09-17 19:20:52 > Step:   15500 Progress: 15.5% Elapsed: 5:34:32 temperature: no ada_p: No Discriminator_loss: 1.78293 Generator_loss: 0.431336 
[INFO] 2020-09-17 19:22:49 > Step:   15600 Progress: 15.6% Elapsed: 5:36:29 temperature: no ada_p: No Discriminator_loss: 1.74193 Generator_loss: 0.556105 
[INFO] 2020-09-17 19:24:53 > Step:   15700 Progress: 15.7% Elapsed: 5:38:33 temperature: no ada_p: No Discriminator_loss: 1.84627 Generator_loss: 0.601969 
[INFO] 2020-09-17 19:26:57 > Step:   15800 Progress: 15.8% Elapsed: 5:40:37 temperature: no ada_p: No Discriminator_loss: 1.71613 Generator_loss: 0.407984 
[INFO] 2020-09-17 19:29:00 > Step:   15900 Progress: 15.9% Elapsed: 5:42:41 temperature: no ada_p: No Discriminator_loss: 1.85133 Generator_loss: 0.45733 
[INFO] 2020-09-17 19:31:05 > Step:   16000 Progress: 16.0% Elapsed: 5:44:45 temperature: no ada_p: No Discriminator_loss: 1.78143 Generator_loss: 0.202562 
[INFO] 2020-09-17 19:31:05 > Start Evaluation (16000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 19:33:12 > F_8 score (Step: 16000, Using test images): 0.9712810607190709
[INFO] 2020-09-17 19:33:12 > F_1/8 score (Step: 16000, Using test images): 0.9813059249249152
[INFO] 2020-09-17 19:33:12 > FID score (Step: 16000, Using test moments): 15.892516042506998
[INFO] 2020-09-17 19:33:12 > Inception score (Step: 16000, 10000 generated images): 8.801257133483887
[INFO] 2020-09-17 19:33:12 > Best FID score (Step: 16000, Using test moments): 15.892516042506998
[INFO] 2020-09-17 19:33:17 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 19:35:21 > Step:   16100 Progress: 16.1% Elapsed: 5:49:01 temperature: no ada_p: No Discriminator_loss: 1.7966 Generator_loss: 0.211042 
[INFO] 2020-09-17 19:37:26 > Step:   16200 Progress: 16.2% Elapsed: 5:51:06 temperature: no ada_p: No Discriminator_loss: 1.74482 Generator_loss: 0.347645 
[INFO] 2020-09-17 19:39:29 > Step:   16300 Progress: 16.3% Elapsed: 5:53:10 temperature: no ada_p: No Discriminator_loss: 1.67337 Generator_loss: 0.101658 
[INFO] 2020-09-17 19:41:33 > Step:   16400 Progress: 16.4% Elapsed: 5:55:13 temperature: no ada_p: No Discriminator_loss: 1.58075 Generator_loss: 0.398095 
[INFO] 2020-09-17 19:43:38 > Step:   16500 Progress: 16.5% Elapsed: 5:57:18 temperature: no ada_p: No Discriminator_loss: 1.634 Generator_loss: 0.513727 
[INFO] 2020-09-17 19:45:42 > Step:   16600 Progress: 16.6% Elapsed: 5:59:23 temperature: no ada_p: No Discriminator_loss: 1.80253 Generator_loss: 0.227487 
[INFO] 2020-09-17 19:47:39 > Step:   16700 Progress: 16.7% Elapsed: 6:01:20 temperature: no ada_p: No Discriminator_loss: 1.72133 Generator_loss: 0.331796 
[INFO] 2020-09-17 19:49:40 > Step:   16800 Progress: 16.8% Elapsed: 6:03:20 temperature: no ada_p: No Discriminator_loss: 1.85131 Generator_loss: 0.319017 
[INFO] 2020-09-17 19:51:44 > Step:   16900 Progress: 16.9% Elapsed: 6:05:24 temperature: no ada_p: No Discriminator_loss: 1.71719 Generator_loss: 0.444678 
[INFO] 2020-09-17 19:53:49 > Step:   17000 Progress: 17.0% Elapsed: 6:07:29 temperature: no ada_p: No Discriminator_loss: 1.71063 Generator_loss: 0.457445 
[INFO] 2020-09-17 19:55:53 > Step:   17100 Progress: 17.1% Elapsed: 6:09:33 temperature: no ada_p: No Discriminator_loss: 1.71002 Generator_loss: 0.688141 
[INFO] 2020-09-17 19:57:57 > Step:   17200 Progress: 17.2% Elapsed: 6:11:38 temperature: no ada_p: No Discriminator_loss: 1.76314 Generator_loss: 0.31152 
[INFO] 2020-09-17 20:00:01 > Step:   17300 Progress: 17.3% Elapsed: 6:13:41 temperature: no ada_p: No Discriminator_loss: 1.66018 Generator_loss: 0.41087 
[INFO] 2020-09-17 20:02:05 > Step:   17400 Progress: 17.4% Elapsed: 6:15:45 temperature: no ada_p: No Discriminator_loss: 1.71391 Generator_loss: 0.111966 
[INFO] 2020-09-17 20:04:09 > Step:   17500 Progress: 17.5% Elapsed: 6:17:49 temperature: no ada_p: No Discriminator_loss: 1.80126 Generator_loss: 0.351284 
[INFO] 2020-09-17 20:06:14 > Step:   17600 Progress: 17.6% Elapsed: 6:19:54 temperature: no ada_p: No Discriminator_loss: 1.7065 Generator_loss: 0.230017 
[INFO] 2020-09-17 20:08:17 > Step:   17700 Progress: 17.7% Elapsed: 6:21:57 temperature: no ada_p: No Discriminator_loss: 1.78433 Generator_loss: 0.349084 
[INFO] 2020-09-17 20:10:22 > Step:   17800 Progress: 17.8% Elapsed: 6:24:02 temperature: no ada_p: No Discriminator_loss: 1.80898 Generator_loss: 0.165922 
[INFO] 2020-09-17 20:12:25 > Step:   17900 Progress: 17.9% Elapsed: 6:26:05 temperature: no ada_p: No Discriminator_loss: 1.74417 Generator_loss: 0.349426 
[INFO] 2020-09-17 20:14:20 > Step:   18000 Progress: 18.0% Elapsed: 6:28:00 temperature: no ada_p: No Discriminator_loss: 1.73576 Generator_loss: 0.450535 
[INFO] 2020-09-17 20:14:20 > Start Evaluation (18000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 20:16:28 > F_8 score (Step: 18000, Using test images): 0.9767715450802195
[INFO] 2020-09-17 20:16:28 > F_1/8 score (Step: 18000, Using test images): 0.9835298954666082
[INFO] 2020-09-17 20:16:28 > FID score (Step: 18000, Using test moments): 14.324064809957122
[INFO] 2020-09-17 20:16:28 > Inception score (Step: 18000, 10000 generated images): 9.13139820098877
[INFO] 2020-09-17 20:16:28 > Best FID score (Step: 18000, Using test moments): 14.324064809957122
[INFO] 2020-09-17 20:16:32 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 20:18:35 > Step:   18100 Progress: 18.1% Elapsed: 6:32:15 temperature: no ada_p: No Discriminator_loss: 1.80987 Generator_loss: 0.365882 
[INFO] 2020-09-17 20:20:40 > Step:   18200 Progress: 18.2% Elapsed: 6:34:20 temperature: no ada_p: No Discriminator_loss: 1.72135 Generator_loss: 0.420067 
[INFO] 2020-09-17 20:22:44 > Step:   18300 Progress: 18.3% Elapsed: 6:36:24 temperature: no ada_p: No Discriminator_loss: 1.85028 Generator_loss: 0.439064 
[INFO] 2020-09-17 20:24:49 > Step:   18400 Progress: 18.4% Elapsed: 6:38:29 temperature: no ada_p: No Discriminator_loss: 1.74991 Generator_loss: 0.389701 
[INFO] 2020-09-17 20:26:52 > Step:   18500 Progress: 18.5% Elapsed: 6:40:33 temperature: no ada_p: No Discriminator_loss: 1.75866 Generator_loss: 0.246748 
[INFO] 2020-09-17 20:28:56 > Step:   18600 Progress: 18.6% Elapsed: 6:42:37 temperature: no ada_p: No Discriminator_loss: 1.7983 Generator_loss: 0.305344 
[INFO] 2020-09-17 20:31:02 > Step:   18700 Progress: 18.7% Elapsed: 6:44:42 temperature: no ada_p: No Discriminator_loss: 1.74669 Generator_loss: 0.43832 
[INFO] 2020-09-17 20:33:06 > Step:   18800 Progress: 18.8% Elapsed: 6:46:46 temperature: no ada_p: No Discriminator_loss: 1.69681 Generator_loss: 0.309758 
[INFO] 2020-09-17 20:35:11 > Step:   18900 Progress: 18.9% Elapsed: 6:48:51 temperature: no ada_p: No Discriminator_loss: 1.77241 Generator_loss: 0.207132 
[INFO] 2020-09-17 20:37:17 > Step:   19000 Progress: 19.0% Elapsed: 6:50:57 temperature: no ada_p: No Discriminator_loss: 1.77498 Generator_loss: 0.522944 
[INFO] 2020-09-17 20:39:14 > Step:   19100 Progress: 19.1% Elapsed: 6:52:54 temperature: no ada_p: No Discriminator_loss: 1.75693 Generator_loss: 0.564239 
[INFO] 2020-09-17 20:41:15 > Step:   19200 Progress: 19.2% Elapsed: 6:54:55 temperature: no ada_p: No Discriminator_loss: 1.75801 Generator_loss: 0.260059 
[INFO] 2020-09-17 20:43:19 > Step:   19300 Progress: 19.3% Elapsed: 6:57:00 temperature: no ada_p: No Discriminator_loss: 1.814 Generator_loss: 0.258546 
[INFO] 2020-09-17 20:45:24 > Step:   19400 Progress: 19.4% Elapsed: 6:59:04 temperature: no ada_p: No Discriminator_loss: 1.78202 Generator_loss: 0.340353 
[INFO] 2020-09-17 20:47:29 > Step:   19500 Progress: 19.5% Elapsed: 7:01:09 temperature: no ada_p: No Discriminator_loss: 1.80944 Generator_loss: 0.516628 
[INFO] 2020-09-17 20:49:32 > Step:   19600 Progress: 19.6% Elapsed: 7:03:12 temperature: no ada_p: No Discriminator_loss: 1.8433 Generator_loss: 0.47995 
[INFO] 2020-09-17 20:51:36 > Step:   19700 Progress: 19.7% Elapsed: 7:05:17 temperature: no ada_p: No Discriminator_loss: 1.75743 Generator_loss: 0.134253 
[INFO] 2020-09-17 20:53:40 > Step:   19800 Progress: 19.8% Elapsed: 7:07:20 temperature: no ada_p: No Discriminator_loss: 1.85356 Generator_loss: 0.19911 
[INFO] 2020-09-17 20:55:45 > Step:   19900 Progress: 19.9% Elapsed: 7:09:25 temperature: no ada_p: No Discriminator_loss: 1.77641 Generator_loss: 0.490163 
[INFO] 2020-09-17 20:57:49 > Step:   20000 Progress: 20.0% Elapsed: 7:11:29 temperature: no ada_p: No Discriminator_loss: 1.80468 Generator_loss: 0.349897 
[INFO] 2020-09-17 20:57:49 > Start Evaluation (20000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 20:59:58 > F_8 score (Step: 20000, Using test images): 0.9844940559082899
[INFO] 2020-09-17 20:59:58 > F_1/8 score (Step: 20000, Using test images): 0.9855373834765716
[INFO] 2020-09-17 20:59:58 > FID score (Step: 20000, Using test moments): 13.160643423534282
[INFO] 2020-09-17 20:59:58 > Inception score (Step: 20000, 10000 generated images): 9.197164535522461
[INFO] 2020-09-17 20:59:58 > Best FID score (Step: 20000, Using test moments): 13.160643423534282
[INFO] 2020-09-17 21:00:02 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 21:02:07 > Step:   20100 Progress: 20.1% Elapsed: 7:15:47 temperature: no ada_p: No Discriminator_loss: 1.74091 Generator_loss: 0.553524 
[INFO] 2020-09-17 21:04:10 > Step:   20200 Progress: 20.2% Elapsed: 7:17:51 temperature: no ada_p: No Discriminator_loss: 1.69378 Generator_loss: 0.376495 
[INFO] 2020-09-17 21:06:07 > Step:   20300 Progress: 20.3% Elapsed: 7:19:47 temperature: no ada_p: No Discriminator_loss: 1.69699 Generator_loss: 0.218501 
[INFO] 2020-09-17 21:08:11 > Step:   20400 Progress: 20.4% Elapsed: 7:21:51 temperature: no ada_p: No Discriminator_loss: 1.75613 Generator_loss: 0.470962 
[INFO] 2020-09-17 21:10:15 > Step:   20500 Progress: 20.5% Elapsed: 7:23:55 temperature: no ada_p: No Discriminator_loss: 1.83936 Generator_loss: 0.41014 
[INFO] 2020-09-17 21:12:19 > Step:   20600 Progress: 20.6% Elapsed: 7:26:00 temperature: no ada_p: No Discriminator_loss: 1.84019 Generator_loss: 0.483689 
[INFO] 2020-09-17 21:14:23 > Step:   20700 Progress: 20.7% Elapsed: 7:28:03 temperature: no ada_p: No Discriminator_loss: 1.75754 Generator_loss: 0.319608 
[INFO] 2020-09-17 21:16:27 > Step:   20800 Progress: 20.8% Elapsed: 7:30:07 temperature: no ada_p: No Discriminator_loss: 1.94201 Generator_loss: 0.241787 
[INFO] 2020-09-17 21:18:32 > Step:   20900 Progress: 20.9% Elapsed: 7:32:13 temperature: no ada_p: No Discriminator_loss: 1.65049 Generator_loss: 0.22852 
[INFO] 2020-09-17 21:20:37 > Step:   21000 Progress: 21.0% Elapsed: 7:34:17 temperature: no ada_p: No Discriminator_loss: 1.82087 Generator_loss: 0.383887 
[INFO] 2020-09-17 21:22:42 > Step:   21100 Progress: 21.1% Elapsed: 7:36:22 temperature: no ada_p: No Discriminator_loss: 1.65733 Generator_loss: 0.473301 
[INFO] 2020-09-17 21:24:47 > Step:   21200 Progress: 21.2% Elapsed: 7:38:27 temperature: no ada_p: No Discriminator_loss: 1.77909 Generator_loss: 0.0861284 
[INFO] 2020-09-17 21:26:51 > Step:   21300 Progress: 21.3% Elapsed: 7:40:31 temperature: no ada_p: No Discriminator_loss: 1.74084 Generator_loss: 0.149906 
[INFO] 2020-09-17 21:28:57 > Step:   21400 Progress: 21.4% Elapsed: 7:42:37 temperature: no ada_p: No Discriminator_loss: 1.66511 Generator_loss: 0.363178 
[INFO] 2020-09-17 21:30:56 > Step:   21500 Progress: 21.5% Elapsed: 7:44:36 temperature: no ada_p: No Discriminator_loss: 1.78495 Generator_loss: 0.41689 
[INFO] 2020-09-17 21:32:55 > Step:   21600 Progress: 21.6% Elapsed: 7:46:35 temperature: no ada_p: No Discriminator_loss: 1.92719 Generator_loss: 0.51991 
[INFO] 2020-09-17 21:34:58 > Step:   21700 Progress: 21.7% Elapsed: 7:48:39 temperature: no ada_p: No Discriminator_loss: 1.76494 Generator_loss: 0.143403 
[INFO] 2020-09-17 21:37:03 > Step:   21800 Progress: 21.8% Elapsed: 7:50:43 temperature: no ada_p: No Discriminator_loss: 1.63056 Generator_loss: 0.368337 
[INFO] 2020-09-17 21:39:07 > Step:   21900 Progress: 21.9% Elapsed: 7:52:47 temperature: no ada_p: No Discriminator_loss: 1.77529 Generator_loss: 0.260958 
[INFO] 2020-09-17 21:41:12 > Step:   22000 Progress: 22.0% Elapsed: 7:54:52 temperature: no ada_p: No Discriminator_loss: 1.85402 Generator_loss: 0.569133 
[INFO] 2020-09-17 21:41:12 > Start Evaluation (22000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 21:43:19 > F_8 score (Step: 22000, Using test images): 0.9835497878425914
[INFO] 2020-09-17 21:43:19 > F_1/8 score (Step: 22000, Using test images): 0.9852655912127362
[INFO] 2020-09-17 21:43:19 > FID score (Step: 22000, Using test moments): 12.266896482559218
[INFO] 2020-09-17 21:43:19 > Inception score (Step: 22000, 10000 generated images): 9.341397285461426
[INFO] 2020-09-17 21:43:19 > Best FID score (Step: 22000, Using test moments): 12.266896482559218
[INFO] 2020-09-17 21:43:24 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 21:45:26 > Step:   22100 Progress: 22.1% Elapsed: 7:59:06 temperature: no ada_p: No Discriminator_loss: 1.70364 Generator_loss: 0.450403 
[INFO] 2020-09-17 21:47:30 > Step:   22200 Progress: 22.2% Elapsed: 8:01:10 temperature: no ada_p: No Discriminator_loss: 1.67465 Generator_loss: 0.133359 
[INFO] 2020-09-17 21:49:35 > Step:   22300 Progress: 22.3% Elapsed: 8:03:15 temperature: no ada_p: No Discriminator_loss: 1.81765 Generator_loss: 0.403771 
[INFO] 2020-09-17 21:51:39 > Step:   22400 Progress: 22.4% Elapsed: 8:05:20 temperature: no ada_p: No Discriminator_loss: 1.92318 Generator_loss: 0.294349 
[INFO] 2020-09-17 21:53:45 > Step:   22500 Progress: 22.5% Elapsed: 8:07:25 temperature: no ada_p: No Discriminator_loss: 1.62571 Generator_loss: 0.157466 
[INFO] 2020-09-17 21:55:46 > Step:   22600 Progress: 22.6% Elapsed: 8:09:27 temperature: no ada_p: No Discriminator_loss: 1.74306 Generator_loss: 0.195603 
[INFO] 2020-09-17 21:57:43 > Step:   22700 Progress: 22.7% Elapsed: 8:11:23 temperature: no ada_p: No Discriminator_loss: 1.64462 Generator_loss: 0.439954 
[INFO] 2020-09-17 21:59:48 > Step:   22800 Progress: 22.8% Elapsed: 8:13:28 temperature: no ada_p: No Discriminator_loss: 1.75578 Generator_loss: 0.262967 
[INFO] 2020-09-17 22:01:51 > Step:   22900 Progress: 22.9% Elapsed: 8:15:32 temperature: no ada_p: No Discriminator_loss: 1.77618 Generator_loss: 0.254722 
[INFO] 2020-09-17 22:03:56 > Step:   23000 Progress: 23.0% Elapsed: 8:17:36 temperature: no ada_p: No Discriminator_loss: 1.83737 Generator_loss: 0.306153 
[INFO] 2020-09-17 22:06:00 > Step:   23100 Progress: 23.1% Elapsed: 8:19:40 temperature: no ada_p: No Discriminator_loss: 1.76017 Generator_loss: 0.433307 
[INFO] 2020-09-17 22:08:05 > Step:   23200 Progress: 23.2% Elapsed: 8:21:45 temperature: no ada_p: No Discriminator_loss: 1.73854 Generator_loss: 0.377713 
[INFO] 2020-09-17 22:10:10 > Step:   23300 Progress: 23.3% Elapsed: 8:23:50 temperature: no ada_p: No Discriminator_loss: 1.84157 Generator_loss: 0.3345 
[INFO] 2020-09-17 22:12:13 > Step:   23400 Progress: 23.4% Elapsed: 8:25:53 temperature: no ada_p: No Discriminator_loss: 1.90851 Generator_loss: 0.194434 
[INFO] 2020-09-17 22:14:17 > Step:   23500 Progress: 23.5% Elapsed: 8:27:57 temperature: no ada_p: No Discriminator_loss: 1.77166 Generator_loss: 0.486305 
[INFO] 2020-09-17 22:16:22 > Step:   23600 Progress: 23.6% Elapsed: 8:30:02 temperature: no ada_p: No Discriminator_loss: 1.81779 Generator_loss: 0.321854 
[INFO] 2020-09-17 22:18:26 > Step:   23700 Progress: 23.7% Elapsed: 8:32:06 temperature: no ada_p: No Discriminator_loss: 1.65498 Generator_loss: 0.237933 
[INFO] 2020-09-17 22:20:30 > Step:   23800 Progress: 23.8% Elapsed: 8:34:11 temperature: no ada_p: No Discriminator_loss: 1.79808 Generator_loss: 0.360498 
[INFO] 2020-09-17 22:22:30 > Step:   23900 Progress: 23.9% Elapsed: 8:36:11 temperature: no ada_p: No Discriminator_loss: 1.7995 Generator_loss: 0.519015 
[INFO] 2020-09-17 22:24:30 > Step:   24000 Progress: 24.0% Elapsed: 8:38:10 temperature: no ada_p: No Discriminator_loss: 1.82331 Generator_loss: 0.649706 
[INFO] 2020-09-17 22:24:30 > Start Evaluation (24000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 22:26:37 > F_8 score (Step: 24000, Using test images): 0.9893784126959618
[INFO] 2020-09-17 22:26:37 > F_1/8 score (Step: 24000, Using test images): 0.9875762780170193
[INFO] 2020-09-17 22:26:37 > FID score (Step: 24000, Using test moments): 11.466953992187086
[INFO] 2020-09-17 22:26:37 > Inception score (Step: 24000, 10000 generated images): 9.563851356506348
[INFO] 2020-09-17 22:26:37 > Best FID score (Step: 24000, Using test moments): 11.466953992187086
[INFO] 2020-09-17 22:26:42 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 22:28:45 > Step:   24100 Progress: 24.1% Elapsed: 8:42:26 temperature: no ada_p: No Discriminator_loss: 1.76575 Generator_loss: 0.419224 
[INFO] 2020-09-17 22:30:50 > Step:   24200 Progress: 24.2% Elapsed: 8:44:30 temperature: no ada_p: No Discriminator_loss: 1.7087 Generator_loss: 0.492226 
[INFO] 2020-09-17 22:32:54 > Step:   24300 Progress: 24.3% Elapsed: 8:46:34 temperature: no ada_p: No Discriminator_loss: 1.65271 Generator_loss: 0.39045 
[INFO] 2020-09-17 22:34:57 > Step:   24400 Progress: 24.4% Elapsed: 8:48:38 temperature: no ada_p: No Discriminator_loss: 1.57926 Generator_loss: 0.236459 
[INFO] 2020-09-17 22:37:02 > Step:   24500 Progress: 24.5% Elapsed: 8:50:42 temperature: no ada_p: No Discriminator_loss: 1.71522 Generator_loss: 0.131909 
[INFO] 2020-09-17 22:39:08 > Step:   24600 Progress: 24.6% Elapsed: 8:52:48 temperature: no ada_p: No Discriminator_loss: 1.77042 Generator_loss: 0.233991 
[INFO] 2020-09-17 22:41:13 > Step:   24700 Progress: 24.7% Elapsed: 8:54:53 temperature: no ada_p: No Discriminator_loss: 1.7958 Generator_loss: 0.396159 
[INFO] 2020-09-17 22:43:18 > Step:   24800 Progress: 24.8% Elapsed: 8:56:58 temperature: no ada_p: No Discriminator_loss: 1.75373 Generator_loss: 0.355474 
[INFO] 2020-09-17 22:45:22 > Step:   24900 Progress: 24.9% Elapsed: 8:59:02 temperature: no ada_p: No Discriminator_loss: 1.82124 Generator_loss: 0.141305 
[INFO] 2020-09-17 22:47:25 > Step:   25000 Progress: 25.0% Elapsed: 9:01:06 temperature: no ada_p: No Discriminator_loss: 1.82459 Generator_loss: 0.346664 
[INFO] 2020-09-17 22:49:21 > Step:   25100 Progress: 25.1% Elapsed: 9:03:01 temperature: no ada_p: No Discriminator_loss: 1.68816 Generator_loss: 0.447466 
[INFO] 2020-09-17 22:51:25 > Step:   25200 Progress: 25.2% Elapsed: 9:05:05 temperature: no ada_p: No Discriminator_loss: 1.85187 Generator_loss: 0.248989 
[INFO] 2020-09-17 22:53:27 > Step:   25300 Progress: 25.3% Elapsed: 9:07:08 temperature: no ada_p: No Discriminator_loss: 1.72472 Generator_loss: 0.335959 
[INFO] 2020-09-17 22:55:32 > Step:   25400 Progress: 25.4% Elapsed: 9:09:12 temperature: no ada_p: No Discriminator_loss: 1.7182 Generator_loss: 0.535087 
[INFO] 2020-09-17 22:57:36 > Step:   25500 Progress: 25.5% Elapsed: 9:11:16 temperature: no ada_p: No Discriminator_loss: 1.80851 Generator_loss: 0.238422 
[INFO] 2020-09-17 22:59:41 > Step:   25600 Progress: 25.6% Elapsed: 9:13:21 temperature: no ada_p: No Discriminator_loss: 1.70775 Generator_loss: 0.310234 
[INFO] 2020-09-17 23:01:45 > Step:   25700 Progress: 25.7% Elapsed: 9:15:25 temperature: no ada_p: No Discriminator_loss: 1.8179 Generator_loss: 0.615641 
[INFO] 2020-09-17 23:03:49 > Step:   25800 Progress: 25.8% Elapsed: 9:17:29 temperature: no ada_p: No Discriminator_loss: 1.79716 Generator_loss: 0.341424 
[INFO] 2020-09-17 23:05:52 > Step:   25900 Progress: 25.9% Elapsed: 9:19:32 temperature: no ada_p: No Discriminator_loss: 1.81342 Generator_loss: 0.355984 
[INFO] 2020-09-17 23:07:56 > Step:   26000 Progress: 26.0% Elapsed: 9:21:36 temperature: no ada_p: No Discriminator_loss: 1.9201 Generator_loss: 0.296537 
[INFO] 2020-09-17 23:07:56 > Start Evaluation (26000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 23:10:02 > F_8 score (Step: 26000, Using test images): 0.9876005526631801
[INFO] 2020-09-17 23:10:02 > F_1/8 score (Step: 26000, Using test images): 0.9869567556523496
[INFO] 2020-09-17 23:10:02 > FID score (Step: 26000, Using test moments): 11.081969693684357
[INFO] 2020-09-17 23:10:02 > Inception score (Step: 26000, 10000 generated images): 9.690505027770996
[INFO] 2020-09-17 23:10:02 > Best FID score (Step: 26000, Using test moments): 11.081969693684357
[INFO] 2020-09-17 23:10:07 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 23:12:11 > Step:   26100 Progress: 26.1% Elapsed: 9:25:51 temperature: no ada_p: No Discriminator_loss: 1.81384 Generator_loss: 0.374262 
[INFO] 2020-09-17 23:14:10 > Step:   26200 Progress: 26.2% Elapsed: 9:27:50 temperature: no ada_p: No Discriminator_loss: 1.75324 Generator_loss: 0.497301 
[INFO] 2020-09-17 23:16:10 > Step:   26300 Progress: 26.3% Elapsed: 9:29:50 temperature: no ada_p: No Discriminator_loss: 1.80977 Generator_loss: 0.509768 
[INFO] 2020-09-17 23:18:14 > Step:   26400 Progress: 26.4% Elapsed: 9:31:55 temperature: no ada_p: No Discriminator_loss: 1.80914 Generator_loss: 0.33748 
[INFO] 2020-09-17 23:20:19 > Step:   26500 Progress: 26.5% Elapsed: 9:33:59 temperature: no ada_p: No Discriminator_loss: 1.81726 Generator_loss: 0.231269 
[INFO] 2020-09-17 23:22:23 > Step:   26600 Progress: 26.6% Elapsed: 9:36:03 temperature: no ada_p: No Discriminator_loss: 1.84294 Generator_loss: 0.658176 
[INFO] 2020-09-17 23:24:27 > Step:   26700 Progress: 26.7% Elapsed: 9:38:07 temperature: no ada_p: No Discriminator_loss: 1.79302 Generator_loss: 0.349432 
[INFO] 2020-09-17 23:26:30 > Step:   26800 Progress: 26.8% Elapsed: 9:40:10 temperature: no ada_p: No Discriminator_loss: 1.68778 Generator_loss: 0.416297 
[INFO] 2020-09-17 23:28:34 > Step:   26900 Progress: 26.9% Elapsed: 9:42:15 temperature: no ada_p: No Discriminator_loss: 1.75581 Generator_loss: 0.404296 
[INFO] 2020-09-17 23:30:38 > Step:   27000 Progress: 27.0% Elapsed: 9:44:18 temperature: no ada_p: No Discriminator_loss: 1.70781 Generator_loss: 0.40898 
[INFO] 2020-09-17 23:32:43 > Step:   27100 Progress: 27.1% Elapsed: 9:46:24 temperature: no ada_p: No Discriminator_loss: 1.76126 Generator_loss: 0.314374 
[INFO] 2020-09-17 23:34:48 > Step:   27200 Progress: 27.2% Elapsed: 9:48:28 temperature: no ada_p: No Discriminator_loss: 1.76972 Generator_loss: 0.238206 
[INFO] 2020-09-17 23:36:51 > Step:   27300 Progress: 27.3% Elapsed: 9:50:31 temperature: no ada_p: No Discriminator_loss: 1.75213 Generator_loss: 0.260532 
[INFO] 2020-09-17 23:38:55 > Step:   27400 Progress: 27.4% Elapsed: 9:52:35 temperature: no ada_p: No Discriminator_loss: 1.78722 Generator_loss: 0.327106 
[INFO] 2020-09-17 23:40:51 > Step:   27500 Progress: 27.5% Elapsed: 9:54:32 temperature: no ada_p: No Discriminator_loss: 1.7457 Generator_loss: 0.430079 
[INFO] 2020-09-17 23:42:55 > Step:   27600 Progress: 27.6% Elapsed: 9:56:35 temperature: no ada_p: No Discriminator_loss: 1.85205 Generator_loss: 0.33245 
[INFO] 2020-09-17 23:44:59 > Step:   27700 Progress: 27.7% Elapsed: 9:58:39 temperature: no ada_p: No Discriminator_loss: 1.81212 Generator_loss: 0.173779 
[INFO] 2020-09-17 23:47:04 > Step:   27800 Progress: 27.8% Elapsed: 10:00:44 temperature: no ada_p: No Discriminator_loss: 1.69338 Generator_loss: 0.193758 
[INFO] 2020-09-17 23:49:09 > Step:   27900 Progress: 27.9% Elapsed: 10:02:49 temperature: no ada_p: No Discriminator_loss: 1.74912 Generator_loss: 0.245463 
[INFO] 2020-09-17 23:51:13 > Step:   28000 Progress: 28.0% Elapsed: 10:04:53 temperature: no ada_p: No Discriminator_loss: 1.78685 Generator_loss: 0.397065 
[INFO] 2020-09-17 23:51:13 > Start Evaluation (28000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 23:53:21 > F_8 score (Step: 28000, Using test images): 0.9903558220603177
[INFO] 2020-09-17 23:53:21 > F_1/8 score (Step: 28000, Using test images): 0.9905625945067731
[INFO] 2020-09-17 23:53:21 > FID score (Step: 28000, Using test moments): 10.58647155513421
[INFO] 2020-09-17 23:53:21 > Inception score (Step: 28000, 10000 generated images): 9.601574897766113
[INFO] 2020-09-17 23:53:21 > Best FID score (Step: 28000, Using test moments): 10.58647155513421
[INFO] 2020-09-17 23:53:25 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-17 23:55:28 > Step:   28100 Progress: 28.1% Elapsed: 10:09:08 temperature: no ada_p: No Discriminator_loss: 1.72534 Generator_loss: 0.462699 
[INFO] 2020-09-17 23:57:31 > Step:   28200 Progress: 28.2% Elapsed: 10:11:11 temperature: no ada_p: No Discriminator_loss: 1.77227 Generator_loss: 0.415466 
[INFO] 2020-09-17 23:59:35 > Step:   28300 Progress: 28.3% Elapsed: 10:13:16 temperature: no ada_p: No Discriminator_loss: 1.78663 Generator_loss: 0.459106 
[INFO] 2020-09-18 00:01:41 > Step:   28400 Progress: 28.4% Elapsed: 10:15:21 temperature: no ada_p: No Discriminator_loss: 1.83545 Generator_loss: 0.633524 
[INFO] 2020-09-18 00:03:46 > Step:   28500 Progress: 28.5% Elapsed: 10:17:26 temperature: no ada_p: No Discriminator_loss: 1.77106 Generator_loss: 0.234967 
[INFO] 2020-09-18 00:05:46 > Step:   28600 Progress: 28.6% Elapsed: 10:19:26 temperature: no ada_p: No Discriminator_loss: 1.82564 Generator_loss: 0.445487 
[INFO] 2020-09-18 00:07:45 > Step:   28700 Progress: 28.7% Elapsed: 10:21:25 temperature: no ada_p: No Discriminator_loss: 1.84172 Generator_loss: 0.428486 
[INFO] 2020-09-18 00:09:48 > Step:   28800 Progress: 28.8% Elapsed: 10:23:28 temperature: no ada_p: No Discriminator_loss: 1.59678 Generator_loss: 0.309098 
[INFO] 2020-09-18 00:11:53 > Step:   28900 Progress: 28.9% Elapsed: 10:25:33 temperature: no ada_p: No Discriminator_loss: 1.77225 Generator_loss: 0.33133 
[INFO] 2020-09-18 00:13:56 > Step:   29000 Progress: 29.0% Elapsed: 10:27:36 temperature: no ada_p: No Discriminator_loss: 1.80812 Generator_loss: 0.323891 
[INFO] 2020-09-18 00:16:01 > Step:   29100 Progress: 29.1% Elapsed: 10:29:41 temperature: no ada_p: No Discriminator_loss: 1.78883 Generator_loss: 0.417825 
[INFO] 2020-09-18 00:18:06 > Step:   29200 Progress: 29.2% Elapsed: 10:31:46 temperature: no ada_p: No Discriminator_loss: 1.8356 Generator_loss: 0.254556 
[INFO] 2020-09-18 00:20:10 > Step:   29300 Progress: 29.3% Elapsed: 10:33:50 temperature: no ada_p: No Discriminator_loss: 1.73446 Generator_loss: 0.470491 
[INFO] 2020-09-18 00:22:13 > Step:   29400 Progress: 29.4% Elapsed: 10:35:53 temperature: no ada_p: No Discriminator_loss: 1.72859 Generator_loss: 0.309131 
[INFO] 2020-09-18 00:24:16 > Step:   29500 Progress: 29.5% Elapsed: 10:37:56 temperature: no ada_p: No Discriminator_loss: 1.81797 Generator_loss: 0.377946 
[INFO] 2020-09-18 00:26:19 > Step:   29600 Progress: 29.6% Elapsed: 10:39:59 temperature: no ada_p: No Discriminator_loss: 1.7242 Generator_loss: 0.445727 
[INFO] 2020-09-18 00:28:24 > Step:   29700 Progress: 29.7% Elapsed: 10:42:05 temperature: no ada_p: No Discriminator_loss: 1.68789 Generator_loss: 0.370636 
[INFO] 2020-09-18 00:30:29 > Step:   29800 Progress: 29.8% Elapsed: 10:44:09 temperature: no ada_p: No Discriminator_loss: 1.77736 Generator_loss: 0.263087 
[INFO] 2020-09-18 00:32:27 > Step:   29900 Progress: 29.9% Elapsed: 10:46:07 temperature: no ada_p: No Discriminator_loss: 1.89035 Generator_loss: 0.500815 
[INFO] 2020-09-18 00:34:29 > Step:   30000 Progress: 30.0% Elapsed: 10:48:09 temperature: no ada_p: No Discriminator_loss: 1.70041 Generator_loss: 0.178279 
[INFO] 2020-09-18 00:34:29 > Start Evaluation (30000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 00:36:37 > F_8 score (Step: 30000, Using test images): 0.9844945037152986
[INFO] 2020-09-18 00:36:37 > F_1/8 score (Step: 30000, Using test images): 0.9883754678850551
[INFO] 2020-09-18 00:36:37 > FID score (Step: 30000, Using test moments): 10.264700164977853
[INFO] 2020-09-18 00:36:37 > Inception score (Step: 30000, 10000 generated images): 9.782315254211426
[INFO] 2020-09-18 00:36:37 > Best FID score (Step: 30000, Using test moments): 10.264700164977853
[INFO] 2020-09-18 00:36:42 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 00:38:45 > Step:   30100 Progress: 30.1% Elapsed: 10:52:25 temperature: no ada_p: No Discriminator_loss: 1.66161 Generator_loss: 0.184986 
[INFO] 2020-09-18 00:40:50 > Step:   30200 Progress: 30.2% Elapsed: 10:54:30 temperature: no ada_p: No Discriminator_loss: 1.75288 Generator_loss: 0.312161 
[INFO] 2020-09-18 00:42:55 > Step:   30300 Progress: 30.3% Elapsed: 10:56:35 temperature: no ada_p: No Discriminator_loss: 1.72994 Generator_loss: 0.472857 
[INFO] 2020-09-18 00:45:00 > Step:   30400 Progress: 30.4% Elapsed: 10:58:40 temperature: no ada_p: No Discriminator_loss: 1.73753 Generator_loss: 0.458023 
[INFO] 2020-09-18 00:47:05 > Step:   30500 Progress: 30.5% Elapsed: 11:00:45 temperature: no ada_p: No Discriminator_loss: 1.78456 Generator_loss: 0.596223 
[INFO] 2020-09-18 00:49:09 > Step:   30600 Progress: 30.6% Elapsed: 11:02:50 temperature: no ada_p: No Discriminator_loss: 1.86484 Generator_loss: 0.585406 
[INFO] 2020-09-18 00:51:14 > Step:   30700 Progress: 30.7% Elapsed: 11:04:54 temperature: no ada_p: No Discriminator_loss: 1.74229 Generator_loss: 0.396032 
[INFO] 2020-09-18 00:53:18 > Step:   30800 Progress: 30.8% Elapsed: 11:06:58 temperature: no ada_p: No Discriminator_loss: 1.68289 Generator_loss: 0.351226 
[INFO] 2020-09-18 00:55:23 > Step:   30900 Progress: 30.9% Elapsed: 11:09:03 temperature: no ada_p: No Discriminator_loss: 1.73714 Generator_loss: 0.379048 
[INFO] 2020-09-18 00:57:24 > Step:   31000 Progress: 31.0% Elapsed: 11:11:04 temperature: no ada_p: No Discriminator_loss: 1.77241 Generator_loss: 0.459045 
[INFO] 2020-09-18 00:59:22 > Step:   31100 Progress: 31.1% Elapsed: 11:13:02 temperature: no ada_p: No Discriminator_loss: 1.84239 Generator_loss: 0.444946 
[INFO] 2020-09-18 01:01:26 > Step:   31200 Progress: 31.2% Elapsed: 11:15:06 temperature: no ada_p: No Discriminator_loss: 1.78069 Generator_loss: 0.584731 
[INFO] 2020-09-18 01:03:30 > Step:   31300 Progress: 31.3% Elapsed: 11:17:10 temperature: no ada_p: No Discriminator_loss: 1.90715 Generator_loss: 0.380067 
[INFO] 2020-09-18 01:05:34 > Step:   31400 Progress: 31.4% Elapsed: 11:19:14 temperature: no ada_p: No Discriminator_loss: 1.74896 Generator_loss: 0.345869 
[INFO] 2020-09-18 01:07:39 > Step:   31500 Progress: 31.5% Elapsed: 11:21:19 temperature: no ada_p: No Discriminator_loss: 1.76487 Generator_loss: 0.477161 
[INFO] 2020-09-18 01:09:42 > Step:   31600 Progress: 31.6% Elapsed: 11:23:23 temperature: no ada_p: No Discriminator_loss: 1.83325 Generator_loss: 0.403119 
[INFO] 2020-09-18 01:11:46 > Step:   31700 Progress: 31.7% Elapsed: 11:25:26 temperature: no ada_p: No Discriminator_loss: 1.80838 Generator_loss: 0.288146 
[INFO] 2020-09-18 01:13:50 > Step:   31800 Progress: 31.8% Elapsed: 11:27:30 temperature: no ada_p: No Discriminator_loss: 1.68458 Generator_loss: 0.265024 
[INFO] 2020-09-18 01:15:53 > Step:   31900 Progress: 31.9% Elapsed: 11:29:34 temperature: no ada_p: No Discriminator_loss: 1.88981 Generator_loss: 0.452307 
[INFO] 2020-09-18 01:17:57 > Step:   32000 Progress: 32.0% Elapsed: 11:31:37 temperature: no ada_p: No Discriminator_loss: 1.73327 Generator_loss: 0.359359 
[INFO] 2020-09-18 01:17:57 > Start Evaluation (32000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 01:20:05 > F_8 score (Step: 32000, Using test images): 0.9871803963680345
[INFO] 2020-09-18 01:20:05 > F_1/8 score (Step: 32000, Using test images): 0.9925408279736825
[INFO] 2020-09-18 01:20:05 > FID score (Step: 32000, Using test moments): 10.039589395946848
[INFO] 2020-09-18 01:20:05 > Inception score (Step: 32000, 10000 generated images): 9.632232666015625
[INFO] 2020-09-18 01:20:05 > Best FID score (Step: 32000, Using test moments): 10.039589395946848
[INFO] 2020-09-18 01:20:09 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 01:22:13 > Step:   32100 Progress: 32.1% Elapsed: 11:35:54 temperature: no ada_p: No Discriminator_loss: 1.78617 Generator_loss: 0.425387 
[INFO] 2020-09-18 01:24:11 > Step:   32200 Progress: 32.2% Elapsed: 11:37:51 temperature: no ada_p: No Discriminator_loss: 1.83971 Generator_loss: 0.59409 
[INFO] 2020-09-18 01:26:14 > Step:   32300 Progress: 32.3% Elapsed: 11:39:54 temperature: no ada_p: No Discriminator_loss: 1.71641 Generator_loss: 0.319968 
[INFO] 2020-09-18 01:28:19 > Step:   32400 Progress: 32.4% Elapsed: 11:41:59 temperature: no ada_p: No Discriminator_loss: 1.71235 Generator_loss: 0.460424 
[INFO] 2020-09-18 01:30:24 > Step:   32500 Progress: 32.5% Elapsed: 11:44:04 temperature: no ada_p: No Discriminator_loss: 1.78661 Generator_loss: 0.452212 
[INFO] 2020-09-18 01:32:28 > Step:   32600 Progress: 32.6% Elapsed: 11:46:08 temperature: no ada_p: No Discriminator_loss: 1.78587 Generator_loss: 0.545139 
[INFO] 2020-09-18 01:34:32 > Step:   32700 Progress: 32.7% Elapsed: 11:48:13 temperature: no ada_p: No Discriminator_loss: 1.77109 Generator_loss: 0.414898 
[INFO] 2020-09-18 01:36:36 > Step:   32800 Progress: 32.8% Elapsed: 11:50:16 temperature: no ada_p: No Discriminator_loss: 1.69133 Generator_loss: 0.488763 
[INFO] 2020-09-18 01:38:39 > Step:   32900 Progress: 32.9% Elapsed: 11:52:19 temperature: no ada_p: No Discriminator_loss: 1.80361 Generator_loss: 0.533092 
[INFO] 2020-09-18 01:40:44 > Step:   33000 Progress: 33.0% Elapsed: 11:54:24 temperature: no ada_p: No Discriminator_loss: 1.75755 Generator_loss: 0.434949 
[INFO] 2020-09-18 01:42:48 > Step:   33100 Progress: 33.1% Elapsed: 11:56:29 temperature: no ada_p: No Discriminator_loss: 1.69609 Generator_loss: 0.469434 
[INFO] 2020-09-18 01:44:53 > Step:   33200 Progress: 33.2% Elapsed: 11:58:33 temperature: no ada_p: No Discriminator_loss: 1.78832 Generator_loss: 0.114252 
[INFO] 2020-09-18 01:46:56 > Step:   33300 Progress: 33.3% Elapsed: 12:00:37 temperature: no ada_p: No Discriminator_loss: 1.79557 Generator_loss: 0.353833 
[INFO] 2020-09-18 01:48:58 > Step:   33400 Progress: 33.4% Elapsed: 12:02:38 temperature: no ada_p: No Discriminator_loss: 1.73997 Generator_loss: 0.396273 
[INFO] 2020-09-18 01:50:55 > Step:   33500 Progress: 33.5% Elapsed: 12:04:35 temperature: no ada_p: No Discriminator_loss: 1.71713 Generator_loss: 0.482322 
[INFO] 2020-09-18 01:53:00 > Step:   33600 Progress: 33.6% Elapsed: 12:06:40 temperature: no ada_p: No Discriminator_loss: 1.6874 Generator_loss: 0.507436 
[INFO] 2020-09-18 01:55:04 > Step:   33700 Progress: 33.7% Elapsed: 12:08:44 temperature: no ada_p: No Discriminator_loss: 2.01122 Generator_loss: 0.415308 
[INFO] 2020-09-18 01:57:08 > Step:   33800 Progress: 33.8% Elapsed: 12:10:48 temperature: no ada_p: No Discriminator_loss: 1.76562 Generator_loss: 0.350965 
[INFO] 2020-09-18 01:59:13 > Step:   33900 Progress: 33.9% Elapsed: 12:12:53 temperature: no ada_p: No Discriminator_loss: 1.61664 Generator_loss: 0.43243 
[INFO] 2020-09-18 02:01:18 > Step:   34000 Progress: 34.0% Elapsed: 12:14:58 temperature: no ada_p: No Discriminator_loss: 1.65864 Generator_loss: 0.432022 
[INFO] 2020-09-18 02:01:18 > Start Evaluation (34000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 02:03:26 > F_8 score (Step: 34000, Using test images): 0.9890841399440112
[INFO] 2020-09-18 02:03:26 > F_1/8 score (Step: 34000, Using test images): 0.991977138065767
[INFO] 2020-09-18 02:03:26 > FID score (Step: 34000, Using test moments): 9.775006959083385
[INFO] 2020-09-18 02:03:26 > Inception score (Step: 34000, 10000 generated images): 9.855381965637207
[INFO] 2020-09-18 02:03:26 > Best FID score (Step: 34000, Using test moments): 9.775006959083385
[INFO] 2020-09-18 02:03:30 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 02:05:34 > Step:   34100 Progress: 34.1% Elapsed: 12:19:14 temperature: no ada_p: No Discriminator_loss: 1.78158 Generator_loss: 0.524247 
[INFO] 2020-09-18 02:07:38 > Step:   34200 Progress: 34.2% Elapsed: 12:21:18 temperature: no ada_p: No Discriminator_loss: 1.88914 Generator_loss: 0.392511 
[INFO] 2020-09-18 02:09:42 > Step:   34300 Progress: 34.3% Elapsed: 12:23:23 temperature: no ada_p: No Discriminator_loss: 1.64916 Generator_loss: 0.256911 
[INFO] 2020-09-18 02:11:47 > Step:   34400 Progress: 34.4% Elapsed: 12:25:27 temperature: no ada_p: No Discriminator_loss: 1.78859 Generator_loss: 0.395253 
[INFO] 2020-09-18 02:13:51 > Step:   34500 Progress: 34.5% Elapsed: 12:27:31 temperature: no ada_p: No Discriminator_loss: 1.85515 Generator_loss: 0.448066 
[INFO] 2020-09-18 02:15:48 > Step:   34600 Progress: 34.6% Elapsed: 12:29:28 temperature: no ada_p: No Discriminator_loss: 1.7545 Generator_loss: 0.528346 
[INFO] 2020-09-18 02:17:50 > Step:   34700 Progress: 34.7% Elapsed: 12:31:30 temperature: no ada_p: No Discriminator_loss: 1.76124 Generator_loss: 0.173693 
[INFO] 2020-09-18 02:19:55 > Step:   34800 Progress: 34.8% Elapsed: 12:33:35 temperature: no ada_p: No Discriminator_loss: 1.77765 Generator_loss: 0.335766 
[INFO] 2020-09-18 02:22:00 > Step:   34900 Progress: 34.9% Elapsed: 12:35:40 temperature: no ada_p: No Discriminator_loss: 1.73322 Generator_loss: 0.461803 
[INFO] 2020-09-18 02:24:04 > Step:   35000 Progress: 35.0% Elapsed: 12:37:45 temperature: no ada_p: No Discriminator_loss: 1.84856 Generator_loss: 0.204777 
[INFO] 2020-09-18 02:26:09 > Step:   35100 Progress: 35.1% Elapsed: 12:39:49 temperature: no ada_p: No Discriminator_loss: 1.81464 Generator_loss: 0.397967 
[INFO] 2020-09-18 02:28:14 > Step:   35200 Progress: 35.2% Elapsed: 12:41:54 temperature: no ada_p: No Discriminator_loss: 1.85615 Generator_loss: 0.142182 
[INFO] 2020-09-18 02:30:17 > Step:   35300 Progress: 35.3% Elapsed: 12:43:57 temperature: no ada_p: No Discriminator_loss: 1.72057 Generator_loss: 0.423808 
[INFO] 2020-09-18 02:32:21 > Step:   35400 Progress: 35.4% Elapsed: 12:46:02 temperature: no ada_p: No Discriminator_loss: 1.65211 Generator_loss: 0.373945 
[INFO] 2020-09-18 02:34:26 > Step:   35500 Progress: 35.5% Elapsed: 12:48:06 temperature: no ada_p: No Discriminator_loss: 1.68884 Generator_loss: 0.223179 
[INFO] 2020-09-18 02:36:29 > Step:   35600 Progress: 35.6% Elapsed: 12:50:09 temperature: no ada_p: No Discriminator_loss: 1.68955 Generator_loss: 0.316981 
[INFO] 2020-09-18 02:38:33 > Step:   35700 Progress: 35.7% Elapsed: 12:52:13 temperature: no ada_p: No Discriminator_loss: 1.65467 Generator_loss: 0.186339 
[INFO] 2020-09-18 02:40:35 > Step:   35800 Progress: 35.8% Elapsed: 12:54:15 temperature: no ada_p: No Discriminator_loss: 1.87029 Generator_loss: 0.339356 
[INFO] 2020-09-18 02:42:31 > Step:   35900 Progress: 35.9% Elapsed: 12:56:11 temperature: no ada_p: No Discriminator_loss: 1.65697 Generator_loss: 0.297255 
[INFO] 2020-09-18 02:44:37 > Step:   36000 Progress: 36.0% Elapsed: 12:58:17 temperature: no ada_p: No Discriminator_loss: 1.8071 Generator_loss: 0.476934 
[INFO] 2020-09-18 02:44:37 > Start Evaluation (36000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 02:46:45 > F_8 score (Step: 36000, Using test images): 0.9905453713601269
[INFO] 2020-09-18 02:46:45 > F_1/8 score (Step: 36000, Using test images): 0.9930948549222952
[INFO] 2020-09-18 02:46:45 > FID score (Step: 36000, Using test moments): 9.298021811668207
[INFO] 2020-09-18 02:46:45 > Inception score (Step: 36000, 10000 generated images): 9.87621784210205
[INFO] 2020-09-18 02:46:45 > Best FID score (Step: 36000, Using test moments): 9.298021811668207
[INFO] 2020-09-18 02:46:49 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 02:48:56 > Step:   36100 Progress: 36.1% Elapsed: 13:02:36 temperature: no ada_p: No Discriminator_loss: 1.67288 Generator_loss: 0.304371 
[INFO] 2020-09-18 02:51:01 > Step:   36200 Progress: 36.2% Elapsed: 13:04:42 temperature: no ada_p: No Discriminator_loss: 1.86338 Generator_loss: 0.390957 
[INFO] 2020-09-18 02:53:07 > Step:   36300 Progress: 36.3% Elapsed: 13:06:47 temperature: no ada_p: No Discriminator_loss: 1.6171 Generator_loss: 0.270869 
[INFO] 2020-09-18 02:55:11 > Step:   36400 Progress: 36.4% Elapsed: 13:08:52 temperature: no ada_p: No Discriminator_loss: 1.72295 Generator_loss: 0.391876 
[INFO] 2020-09-18 02:57:15 > Step:   36500 Progress: 36.5% Elapsed: 13:10:55 temperature: no ada_p: No Discriminator_loss: 1.87797 Generator_loss: 0.672438 
[INFO] 2020-09-18 02:59:19 > Step:   36600 Progress: 36.6% Elapsed: 13:12:59 temperature: no ada_p: No Discriminator_loss: 1.90945 Generator_loss: 0.406506 
[INFO] 2020-09-18 03:01:23 > Step:   36700 Progress: 36.7% Elapsed: 13:15:03 temperature: no ada_p: No Discriminator_loss: 1.71551 Generator_loss: 0.44658 
[INFO] 2020-09-18 03:03:27 > Step:   36800 Progress: 36.8% Elapsed: 13:17:07 temperature: no ada_p: No Discriminator_loss: 1.78925 Generator_loss: 0.405148 
[INFO] 2020-09-18 03:05:31 > Step:   36900 Progress: 36.9% Elapsed: 13:19:11 temperature: no ada_p: No Discriminator_loss: 1.85148 Generator_loss: 0.505136 
[INFO] 2020-09-18 03:07:28 > Step:   37000 Progress: 37.0% Elapsed: 13:21:08 temperature: no ada_p: No Discriminator_loss: 1.83058 Generator_loss: 0.464835 
[INFO] 2020-09-18 03:09:28 > Step:   37100 Progress: 37.1% Elapsed: 13:23:08 temperature: no ada_p: No Discriminator_loss: 1.71337 Generator_loss: 0.404187 
[INFO] 2020-09-18 03:11:33 > Step:   37200 Progress: 37.2% Elapsed: 13:25:13 temperature: no ada_p: No Discriminator_loss: 1.77629 Generator_loss: 0.456755 
[INFO] 2020-09-18 03:13:36 > Step:   37300 Progress: 37.3% Elapsed: 13:27:17 temperature: no ada_p: No Discriminator_loss: 1.7565 Generator_loss: 0.382506 
[INFO] 2020-09-18 03:15:41 > Step:   37400 Progress: 37.4% Elapsed: 13:29:21 temperature: no ada_p: No Discriminator_loss: 1.84009 Generator_loss: 0.302326 
[INFO] 2020-09-18 03:17:46 > Step:   37500 Progress: 37.5% Elapsed: 13:31:26 temperature: no ada_p: No Discriminator_loss: 1.71389 Generator_loss: 0.305845 
[INFO] 2020-09-18 03:19:50 > Step:   37600 Progress: 37.6% Elapsed: 13:33:30 temperature: no ada_p: No Discriminator_loss: 1.8124 Generator_loss: 0.309126 
[INFO] 2020-09-18 03:21:54 > Step:   37700 Progress: 37.7% Elapsed: 13:35:34 temperature: no ada_p: No Discriminator_loss: 1.83971 Generator_loss: 0.452416 
[INFO] 2020-09-18 03:23:58 > Step:   37800 Progress: 37.8% Elapsed: 13:37:38 temperature: no ada_p: No Discriminator_loss: 1.75755 Generator_loss: 0.464831 
[INFO] 2020-09-18 03:26:01 > Step:   37900 Progress: 37.9% Elapsed: 13:39:41 temperature: no ada_p: No Discriminator_loss: 1.64908 Generator_loss: 0.392173 
[INFO] 2020-09-18 03:28:05 > Step:   38000 Progress: 38.0% Elapsed: 13:41:45 temperature: no ada_p: No Discriminator_loss: 1.81339 Generator_loss: 0.621272 
[INFO] 2020-09-18 03:28:05 > Start Evaluation (38000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 03:30:12 > F_8 score (Step: 38000, Using test images): 0.9884677941920814
[INFO] 2020-09-18 03:30:12 > F_1/8 score (Step: 38000, Using test images): 0.99007547824889
[INFO] 2020-09-18 03:30:12 > FID score (Step: 38000, Using test moments): 9.173723024466995
[INFO] 2020-09-18 03:30:12 > Inception score (Step: 38000, 10000 generated images): 9.843032836914062
[INFO] 2020-09-18 03:30:12 > Best FID score (Step: 38000, Using test moments): 9.173723024466995
[INFO] 2020-09-18 03:30:16 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 03:32:18 > Step:   38100 Progress: 38.1% Elapsed: 13:45:58 temperature: no ada_p: No Discriminator_loss: 1.73312 Generator_loss: 0.326986 
[INFO] 2020-09-18 03:34:16 > Step:   38200 Progress: 38.2% Elapsed: 13:47:56 temperature: no ada_p: No Discriminator_loss: 1.64516 Generator_loss: 0.140746 
[INFO] 2020-09-18 03:36:20 > Step:   38300 Progress: 38.3% Elapsed: 13:50:00 temperature: no ada_p: No Discriminator_loss: 1.82704 Generator_loss: 0.369138 
[INFO] 2020-09-18 03:38:24 > Step:   38400 Progress: 38.4% Elapsed: 13:52:04 temperature: no ada_p: No Discriminator_loss: 1.72126 Generator_loss: 0.456035 
[INFO] 2020-09-18 03:40:29 > Step:   38500 Progress: 38.5% Elapsed: 13:54:09 temperature: no ada_p: No Discriminator_loss: 1.89794 Generator_loss: 0.562851 
[INFO] 2020-09-18 03:42:34 > Step:   38600 Progress: 38.6% Elapsed: 13:56:14 temperature: no ada_p: No Discriminator_loss: 1.75963 Generator_loss: 0.325391 
[INFO] 2020-09-18 03:44:39 > Step:   38700 Progress: 38.7% Elapsed: 13:58:19 temperature: no ada_p: No Discriminator_loss: 1.76559 Generator_loss: 0.245747 
[INFO] 2020-09-18 03:46:43 > Step:   38800 Progress: 38.8% Elapsed: 14:00:23 temperature: no ada_p: No Discriminator_loss: 1.73145 Generator_loss: 0.665721 
[INFO] 2020-09-18 03:48:48 > Step:   38900 Progress: 38.9% Elapsed: 14:02:28 temperature: no ada_p: No Discriminator_loss: 1.68881 Generator_loss: 0.355688 
[INFO] 2020-09-18 03:50:52 > Step:   39000 Progress: 39.0% Elapsed: 14:04:32 temperature: no ada_p: No Discriminator_loss: 1.73206 Generator_loss: 0.323366 
[INFO] 2020-09-18 03:52:56 > Step:   39100 Progress: 39.1% Elapsed: 14:06:36 temperature: no ada_p: No Discriminator_loss: 1.7966 Generator_loss: 0.425082 
[INFO] 2020-09-18 03:54:59 > Step:   39200 Progress: 39.2% Elapsed: 14:08:39 temperature: no ada_p: No Discriminator_loss: 1.84792 Generator_loss: 0.457923 
[INFO] 2020-09-18 03:57:03 > Step:   39300 Progress: 39.3% Elapsed: 14:10:44 temperature: no ada_p: No Discriminator_loss: 1.73167 Generator_loss: 0.154265 
[INFO] 2020-09-18 03:59:02 > Step:   39400 Progress: 39.4% Elapsed: 14:12:43 temperature: no ada_p: No Discriminator_loss: 1.81475 Generator_loss: 0.437779 
[INFO] 2020-09-18 04:01:03 > Step:   39500 Progress: 39.5% Elapsed: 14:14:43 temperature: no ada_p: No Discriminator_loss: 1.72957 Generator_loss: 0.269999 
[INFO] 2020-09-18 04:03:08 > Step:   39600 Progress: 39.6% Elapsed: 14:16:48 temperature: no ada_p: No Discriminator_loss: 1.78975 Generator_loss: 0.371614 
[INFO] 2020-09-18 04:05:12 > Step:   39700 Progress: 39.7% Elapsed: 14:18:52 temperature: no ada_p: No Discriminator_loss: 1.69854 Generator_loss: 0.25167 
[INFO] 2020-09-18 04:07:16 > Step:   39800 Progress: 39.8% Elapsed: 14:20:56 temperature: no ada_p: No Discriminator_loss: 1.8324 Generator_loss: 0.614323 
[INFO] 2020-09-18 04:09:19 > Step:   39900 Progress: 39.9% Elapsed: 14:23:00 temperature: no ada_p: No Discriminator_loss: 1.84306 Generator_loss: 0.58153 
[INFO] 2020-09-18 04:11:24 > Step:   40000 Progress: 40.0% Elapsed: 14:25:04 temperature: no ada_p: No Discriminator_loss: 1.80157 Generator_loss: 0.580677 
[INFO] 2020-09-18 04:11:24 > Start Evaluation (40000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 04:13:31 > F_8 score (Step: 40000, Using test images): 0.9909221921730577
[INFO] 2020-09-18 04:13:31 > F_1/8 score (Step: 40000, Using test images): 0.9924616925322371
[INFO] 2020-09-18 04:13:31 > FID score (Step: 40000, Using test moments): 8.823802461115747
[INFO] 2020-09-18 04:13:31 > Inception score (Step: 40000, 10000 generated images): 9.88880729675293
[INFO] 2020-09-18 04:13:31 > Best FID score (Step: 40000, Using test moments): 8.823802461115747
[INFO] 2020-09-18 04:13:35 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 04:15:40 > Step:   40100 Progress: 40.1% Elapsed: 14:29:20 temperature: no ada_p: No Discriminator_loss: 1.76857 Generator_loss: 0.415091 
[INFO] 2020-09-18 04:17:44 > Step:   40200 Progress: 40.2% Elapsed: 14:31:24 temperature: no ada_p: No Discriminator_loss: 1.68453 Generator_loss: 0.511585 
[INFO] 2020-09-18 04:19:48 > Step:   40300 Progress: 40.3% Elapsed: 14:33:28 temperature: no ada_p: No Discriminator_loss: 1.82742 Generator_loss: 0.353629 
[INFO] 2020-09-18 04:21:51 > Step:   40400 Progress: 40.4% Elapsed: 14:35:31 temperature: no ada_p: No Discriminator_loss: 1.7343 Generator_loss: 0.134764 
[INFO] 2020-09-18 04:23:52 > Step:   40500 Progress: 40.5% Elapsed: 14:37:32 temperature: no ada_p: No Discriminator_loss: 1.68906 Generator_loss: 0.309844 
[INFO] 2020-09-18 04:25:49 > Step:   40600 Progress: 40.6% Elapsed: 14:39:29 temperature: no ada_p: No Discriminator_loss: 1.7907 Generator_loss: 0.561842 
[INFO] 2020-09-18 04:27:53 > Step:   40700 Progress: 40.7% Elapsed: 14:41:34 temperature: no ada_p: No Discriminator_loss: 1.83772 Generator_loss: 0.586174 
[INFO] 2020-09-18 04:29:58 > Step:   40800 Progress: 40.8% Elapsed: 14:43:38 temperature: no ada_p: No Discriminator_loss: 1.8831 Generator_loss: 0.330236 
[INFO] 2020-09-18 04:32:02 > Step:   40900 Progress: 40.9% Elapsed: 14:45:42 temperature: no ada_p: No Discriminator_loss: 1.80489 Generator_loss: 0.640285 
[INFO] 2020-09-18 04:34:06 > Step:   41000 Progress: 41.0% Elapsed: 14:47:46 temperature: no ada_p: No Discriminator_loss: 1.76287 Generator_loss: 0.203157 
[INFO] 2020-09-18 04:36:10 > Step:   41100 Progress: 41.1% Elapsed: 14:49:50 temperature: no ada_p: No Discriminator_loss: 1.77824 Generator_loss: 0.266755 
[INFO] 2020-09-18 04:38:14 > Step:   41200 Progress: 41.2% Elapsed: 14:51:54 temperature: no ada_p: No Discriminator_loss: 1.66215 Generator_loss: 0.219333 
[INFO] 2020-09-18 04:40:17 > Step:   41300 Progress: 41.3% Elapsed: 14:53:57 temperature: no ada_p: No Discriminator_loss: 1.77111 Generator_loss: 0.495254 
[INFO] 2020-09-18 04:42:22 > Step:   41400 Progress: 41.4% Elapsed: 14:56:02 temperature: no ada_p: No Discriminator_loss: 1.73934 Generator_loss: 0.476666 
[INFO] 2020-09-18 04:44:25 > Step:   41500 Progress: 41.5% Elapsed: 14:58:05 temperature: no ada_p: No Discriminator_loss: 1.68395 Generator_loss: 0.332486 
[INFO] 2020-09-18 04:46:29 > Step:   41600 Progress: 41.6% Elapsed: 15:00:09 temperature: no ada_p: No Discriminator_loss: 1.7375 Generator_loss: 0.490689 
[INFO] 2020-09-18 04:48:33 > Step:   41700 Progress: 41.7% Elapsed: 15:02:14 temperature: no ada_p: No Discriminator_loss: 1.81339 Generator_loss: 0.456345 
[INFO] 2020-09-18 04:50:33 > Step:   41800 Progress: 41.8% Elapsed: 15:04:13 temperature: no ada_p: No Discriminator_loss: 1.90558 Generator_loss: 0.244143 
[INFO] 2020-09-18 04:52:34 > Step:   41900 Progress: 41.9% Elapsed: 15:06:14 temperature: no ada_p: No Discriminator_loss: 1.73448 Generator_loss: 0.289638 
[INFO] 2020-09-18 04:54:37 > Step:   42000 Progress: 42.0% Elapsed: 15:08:18 temperature: no ada_p: No Discriminator_loss: 1.7628 Generator_loss: 0.385649 
[INFO] 2020-09-18 04:54:38 > Start Evaluation (42000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 04:56:45 > F_8 score (Step: 42000, Using test images): 0.9907820162722896
[INFO] 2020-09-18 04:56:45 > F_1/8 score (Step: 42000, Using test images): 0.992647775393221
[INFO] 2020-09-18 04:56:45 > FID score (Step: 42000, Using test moments): 8.719997929585986
[INFO] 2020-09-18 04:56:45 > Inception score (Step: 42000, 10000 generated images): 9.941492080688477
[INFO] 2020-09-18 04:56:45 > Best FID score (Step: 42000, Using test moments): 8.719997929585986
[INFO] 2020-09-18 04:56:49 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 04:58:53 > Step:   42100 Progress: 42.1% Elapsed: 15:12:33 temperature: no ada_p: No Discriminator_loss: 1.64816 Generator_loss: 0.489252 
[INFO] 2020-09-18 05:00:58 > Step:   42200 Progress: 42.2% Elapsed: 15:14:38 temperature: no ada_p: No Discriminator_loss: 1.88737 Generator_loss: 0.446885 
[INFO] 2020-09-18 05:03:02 > Step:   42300 Progress: 42.3% Elapsed: 15:16:43 temperature: no ada_p: No Discriminator_loss: 1.79122 Generator_loss: 0.507167 
[INFO] 2020-09-18 05:05:07 > Step:   42400 Progress: 42.4% Elapsed: 15:18:48 temperature: no ada_p: No Discriminator_loss: 1.68901 Generator_loss: 0.512062 
[INFO] 2020-09-18 05:07:12 > Step:   42500 Progress: 42.5% Elapsed: 15:20:52 temperature: no ada_p: No Discriminator_loss: 1.62383 Generator_loss: 0.580275 
[INFO] 2020-09-18 05:09:16 > Step:   42600 Progress: 42.6% Elapsed: 15:22:57 temperature: no ada_p: No Discriminator_loss: 1.77497 Generator_loss: 0.416746 
[INFO] 2020-09-18 05:11:22 > Step:   42700 Progress: 42.7% Elapsed: 15:25:02 temperature: no ada_p: No Discriminator_loss: 1.66301 Generator_loss: 0.258098 
[INFO] 2020-09-18 05:13:27 > Step:   42800 Progress: 42.8% Elapsed: 15:27:07 temperature: no ada_p: No Discriminator_loss: 1.75215 Generator_loss: 0.333226 
[INFO] 2020-09-18 05:15:28 > Step:   42900 Progress: 42.9% Elapsed: 15:29:08 temperature: no ada_p: No Discriminator_loss: 1.78757 Generator_loss: 0.451422 
[INFO] 2020-09-18 05:17:24 > Step:   43000 Progress: 43.0% Elapsed: 15:31:04 temperature: no ada_p: No Discriminator_loss: 1.85158 Generator_loss: 0.438148 
[INFO] 2020-09-18 05:19:28 > Step:   43100 Progress: 43.1% Elapsed: 15:33:09 temperature: no ada_p: No Discriminator_loss: 1.79518 Generator_loss: 0.412767 
[INFO] 2020-09-18 05:21:30 > Step:   43200 Progress: 43.2% Elapsed: 15:35:10 temperature: no ada_p: No Discriminator_loss: 1.75606 Generator_loss: 0.312052 
[INFO] 2020-09-18 05:23:34 > Step:   43300 Progress: 43.3% Elapsed: 15:37:14 temperature: no ada_p: No Discriminator_loss: 1.88301 Generator_loss: 0.561534 
[INFO] 2020-09-18 05:25:39 > Step:   43400 Progress: 43.4% Elapsed: 15:39:20 temperature: no ada_p: No Discriminator_loss: 1.93624 Generator_loss: 0.537848 
[INFO] 2020-09-18 05:27:45 > Step:   43500 Progress: 43.5% Elapsed: 15:41:25 temperature: no ada_p: No Discriminator_loss: 1.66933 Generator_loss: 0.417276 
[INFO] 2020-09-18 05:29:49 > Step:   43600 Progress: 43.6% Elapsed: 15:43:29 temperature: no ada_p: No Discriminator_loss: 1.83966 Generator_loss: 0.370202 
[INFO] 2020-09-18 05:31:54 > Step:   43700 Progress: 43.7% Elapsed: 15:45:34 temperature: no ada_p: No Discriminator_loss: 1.71272 Generator_loss: 0.509733 
[INFO] 2020-09-18 05:33:58 > Step:   43800 Progress: 43.8% Elapsed: 15:47:39 temperature: no ada_p: No Discriminator_loss: 1.85026 Generator_loss: 0.315838 
[INFO] 2020-09-18 05:36:04 > Step:   43900 Progress: 43.9% Elapsed: 15:49:44 temperature: no ada_p: No Discriminator_loss: 1.8583 Generator_loss: 0.692986 
[INFO] 2020-09-18 05:38:09 > Step:   44000 Progress: 44.0% Elapsed: 15:51:49 temperature: no ada_p: No Discriminator_loss: 1.6735 Generator_loss: 0.10172 
[INFO] 2020-09-18 05:38:09 > Start Evaluation (44000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 05:40:16 > F_8 score (Step: 44000, Using test images): 0.9915416484049694
[INFO] 2020-09-18 05:40:16 > F_1/8 score (Step: 44000, Using test images): 0.9933263200643361
[INFO] 2020-09-18 05:40:16 > FID score (Step: 44000, Using test moments): 8.674021308369731
[INFO] 2020-09-18 05:40:16 > Inception score (Step: 44000, 10000 generated images): 9.983983993530273
[INFO] 2020-09-18 05:40:16 > Best FID score (Step: 44000, Using test moments): 8.674021308369731
[INFO] 2020-09-18 05:40:20 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 05:42:19 > Step:   44100 Progress: 44.1% Elapsed: 15:55:59 temperature: no ada_p: No Discriminator_loss: 1.62303 Generator_loss: 0.390386 
[INFO] 2020-09-18 05:44:20 > Step:   44200 Progress: 44.2% Elapsed: 15:58:00 temperature: no ada_p: No Discriminator_loss: 1.73137 Generator_loss: 0.252613 
[INFO] 2020-09-18 05:46:24 > Step:   44300 Progress: 44.3% Elapsed: 16:00:04 temperature: no ada_p: No Discriminator_loss: 1.75379 Generator_loss: 0.368703 
[INFO] 2020-09-18 05:48:28 > Step:   44400 Progress: 44.4% Elapsed: 16:02:08 temperature: no ada_p: No Discriminator_loss: 1.84096 Generator_loss: 0.276774 
[INFO] 2020-09-18 05:50:32 > Step:   44500 Progress: 44.5% Elapsed: 16:04:13 temperature: no ada_p: No Discriminator_loss: 1.81209 Generator_loss: 0.224938 
[INFO] 2020-09-18 05:52:37 > Step:   44600 Progress: 44.6% Elapsed: 16:06:17 temperature: no ada_p: No Discriminator_loss: 1.90007 Generator_loss: 0.559177 
[INFO] 2020-09-18 05:54:41 > Step:   44700 Progress: 44.7% Elapsed: 16:08:21 temperature: no ada_p: No Discriminator_loss: 1.80925 Generator_loss: 0.352668 
[INFO] 2020-09-18 05:56:45 > Step:   44800 Progress: 44.8% Elapsed: 16:10:25 temperature: no ada_p: No Discriminator_loss: 1.8152 Generator_loss: 0.355067 
[INFO] 2020-09-18 05:58:49 > Step:   44900 Progress: 44.9% Elapsed: 16:12:29 temperature: no ada_p: No Discriminator_loss: 1.70839 Generator_loss: 0.475506 
[INFO] 2020-09-18 06:00:54 > Step:   45000 Progress: 45.0% Elapsed: 16:14:34 temperature: no ada_p: No Discriminator_loss: 1.79957 Generator_loss: 0.602209 
[INFO] 2020-09-18 06:02:58 > Step:   45100 Progress: 45.1% Elapsed: 16:16:38 temperature: no ada_p: No Discriminator_loss: 1.8199 Generator_loss: 0.485543 
[INFO] 2020-09-18 06:05:03 > Step:   45200 Progress: 45.2% Elapsed: 16:18:43 temperature: no ada_p: No Discriminator_loss: 1.81324 Generator_loss: 0.443536 
[INFO] 2020-09-18 06:07:08 > Step:   45300 Progress: 45.3% Elapsed: 16:20:48 temperature: no ada_p: No Discriminator_loss: 1.78816 Generator_loss: 0.364393 
[INFO] 2020-09-18 06:09:04 > Step:   45400 Progress: 45.4% Elapsed: 16:22:44 temperature: no ada_p: No Discriminator_loss: 1.71902 Generator_loss: 0.559138 
[INFO] 2020-09-18 06:11:08 > Step:   45500 Progress: 45.5% Elapsed: 16:24:48 temperature: no ada_p: No Discriminator_loss: 1.81239 Generator_loss: 0.381032 
[INFO] 2020-09-18 06:13:09 > Step:   45600 Progress: 45.6% Elapsed: 16:26:50 temperature: no ada_p: No Discriminator_loss: 1.77139 Generator_loss: 0.170069 
[INFO] 2020-09-18 06:15:12 > Step:   45700 Progress: 45.7% Elapsed: 16:28:52 temperature: no ada_p: No Discriminator_loss: 1.76186 Generator_loss: 0.240682 
[INFO] 2020-09-18 06:17:16 > Step:   45800 Progress: 45.8% Elapsed: 16:30:56 temperature: no ada_p: No Discriminator_loss: 1.68806 Generator_loss: 0.306765 
[INFO] 2020-09-18 06:19:20 > Step:   45900 Progress: 45.9% Elapsed: 16:33:00 temperature: no ada_p: No Discriminator_loss: 1.77083 Generator_loss: 0.20723 
[INFO] 2020-09-18 06:21:25 > Step:   46000 Progress: 46.0% Elapsed: 16:35:05 temperature: no ada_p: No Discriminator_loss: 1.80502 Generator_loss: 0.581948 
[INFO] 2020-09-18 06:21:25 > Start Evaluation (46000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 06:23:33 > F_8 score (Step: 46000, Using test images): 0.9930638437726972
[INFO] 2020-09-18 06:23:33 > F_1/8 score (Step: 46000, Using test images): 0.9931236658295004
[INFO] 2020-09-18 06:23:33 > FID score (Step: 46000, Using test moments): 8.388622754970754
[INFO] 2020-09-18 06:23:33 > Inception score (Step: 46000, 10000 generated images): 10.049628257751465
[INFO] 2020-09-18 06:23:33 > Best FID score (Step: 46000, Using test moments): 8.388622754970754
[INFO] 2020-09-18 06:23:38 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 06:25:42 > Step:   46100 Progress: 46.1% Elapsed: 16:39:22 temperature: no ada_p: No Discriminator_loss: 1.88736 Generator_loss: 0.200919 
[INFO] 2020-09-18 06:27:47 > Step:   46200 Progress: 46.2% Elapsed: 16:41:27 temperature: no ada_p: No Discriminator_loss: 1.67272 Generator_loss: 0.434163 
[INFO] 2020-09-18 06:29:52 > Step:   46300 Progress: 46.3% Elapsed: 16:43:32 temperature: no ada_p: No Discriminator_loss: 1.64941 Generator_loss: 0.395368 
[INFO] 2020-09-18 06:31:56 > Step:   46400 Progress: 46.4% Elapsed: 16:45:36 temperature: no ada_p: No Discriminator_loss: 1.67751 Generator_loss: 0.460257 
[INFO] 2020-09-18 06:33:55 > Step:   46500 Progress: 46.5% Elapsed: 16:47:35 temperature: no ada_p: No Discriminator_loss: 1.72042 Generator_loss: 0.479052 
[INFO] 2020-09-18 06:35:56 > Step:   46600 Progress: 46.6% Elapsed: 16:49:36 temperature: no ada_p: No Discriminator_loss: 1.96126 Generator_loss: 0.305587 
[INFO] 2020-09-18 06:38:02 > Step:   46700 Progress: 46.7% Elapsed: 16:51:42 temperature: no ada_p: No Discriminator_loss: 1.8127 Generator_loss: 0.515902 
[INFO] 2020-09-18 06:40:06 > Step:   46800 Progress: 46.8% Elapsed: 16:53:46 temperature: no ada_p: No Discriminator_loss: 1.64327 Generator_loss: 0.493536 
[INFO] 2020-09-18 06:42:11 > Step:   46900 Progress: 46.9% Elapsed: 16:55:51 temperature: no ada_p: No Discriminator_loss: 1.71406 Generator_loss: 0.68747 
[INFO] 2020-09-18 06:44:15 > Step:   47000 Progress: 47.0% Elapsed: 16:57:55 temperature: no ada_p: No Discriminator_loss: 1.82508 Generator_loss: 0.412516 
[INFO] 2020-09-18 06:46:20 > Step:   47100 Progress: 47.1% Elapsed: 17:00:01 temperature: no ada_p: No Discriminator_loss: 1.68511 Generator_loss: 0.213816 
[INFO] 2020-09-18 06:48:26 > Step:   47200 Progress: 47.2% Elapsed: 17:02:06 temperature: no ada_p: No Discriminator_loss: 1.72483 Generator_loss: 0.45407 
[INFO] 2020-09-18 06:50:30 > Step:   47300 Progress: 47.3% Elapsed: 17:04:11 temperature: no ada_p: No Discriminator_loss: 1.87542 Generator_loss: 0.594909 
[INFO] 2020-09-18 06:52:35 > Step:   47400 Progress: 47.4% Elapsed: 17:06:15 temperature: no ada_p: No Discriminator_loss: 1.59323 Generator_loss: 0.398951 
[INFO] 2020-09-18 06:54:39 > Step:   47500 Progress: 47.5% Elapsed: 17:08:19 temperature: no ada_p: No Discriminator_loss: 1.72474 Generator_loss: 0.268671 
[INFO] 2020-09-18 06:56:43 > Step:   47600 Progress: 47.6% Elapsed: 17:10:23 temperature: no ada_p: No Discriminator_loss: 1.82599 Generator_loss: 0.505908 
[INFO] 2020-09-18 06:58:47 > Step:   47700 Progress: 47.7% Elapsed: 17:12:27 temperature: no ada_p: No Discriminator_loss: 1.74576 Generator_loss: 0.305991 
[INFO] 2020-09-18 07:00:44 > Step:   47800 Progress: 47.8% Elapsed: 17:14:25 temperature: no ada_p: No Discriminator_loss: 1.70607 Generator_loss: 0.355552 
[INFO] 2020-09-18 07:02:46 > Step:   47900 Progress: 47.9% Elapsed: 17:16:27 temperature: no ada_p: No Discriminator_loss: 1.85138 Generator_loss: 0.402154 
[INFO] 2020-09-18 07:04:50 > Step:   48000 Progress: 48.0% Elapsed: 17:18:30 temperature: no ada_p: No Discriminator_loss: 1.76397 Generator_loss: 0.517255 
[INFO] 2020-09-18 07:04:50 > Start Evaluation (48000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 07:06:59 > F_8 score (Step: 48000, Using test images): 0.9920357268690353
[INFO] 2020-09-18 07:06:59 > F_1/8 score (Step: 48000, Using test images): 0.9931953145976881
[INFO] 2020-09-18 07:06:59 > FID score (Step: 48000, Using test moments): 8.387182195817331
[INFO] 2020-09-18 07:06:59 > Inception score (Step: 48000, 10000 generated images): 9.963541030883789
[INFO] 2020-09-18 07:06:59 > Best FID score (Step: 48000, Using test moments): 8.387182195817331
[INFO] 2020-09-18 07:07:04 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 07:09:07 > Step:   48100 Progress: 48.1% Elapsed: 17:22:48 temperature: no ada_p: No Discriminator_loss: 1.72154 Generator_loss: 0.543008 
[INFO] 2020-09-18 07:11:11 > Step:   48200 Progress: 48.2% Elapsed: 17:24:52 temperature: no ada_p: No Discriminator_loss: 1.74603 Generator_loss: 0.586113 
[INFO] 2020-09-18 07:13:15 > Step:   48300 Progress: 48.3% Elapsed: 17:26:55 temperature: no ada_p: No Discriminator_loss: 1.75244 Generator_loss: 0.392783 
[INFO] 2020-09-18 07:15:18 > Step:   48400 Progress: 48.4% Elapsed: 17:28:58 temperature: no ada_p: No Discriminator_loss: 1.69087 Generator_loss: 0.434437 
[INFO] 2020-09-18 07:17:21 > Step:   48500 Progress: 48.5% Elapsed: 17:31:02 temperature: no ada_p: No Discriminator_loss: 1.81249 Generator_loss: 0.601262 
[INFO] 2020-09-18 07:19:26 > Step:   48600 Progress: 48.6% Elapsed: 17:33:06 temperature: no ada_p: No Discriminator_loss: 1.73571 Generator_loss: 0.500838 
[INFO] 2020-09-18 07:21:28 > Step:   48700 Progress: 48.7% Elapsed: 17:35:08 temperature: no ada_p: No Discriminator_loss: 1.69334 Generator_loss: 0.394787 
[INFO] 2020-09-18 07:23:30 > Step:   48800 Progress: 48.8% Elapsed: 17:37:10 temperature: no ada_p: No Discriminator_loss: 1.76279 Generator_loss: 0.521187 
[INFO] 2020-09-18 07:25:30 > Step:   48900 Progress: 48.9% Elapsed: 17:39:11 temperature: no ada_p: No Discriminator_loss: 1.7784 Generator_loss: 0.365148 
[INFO] 2020-09-18 07:27:29 > Step:   49000 Progress: 49.0% Elapsed: 17:41:09 temperature: no ada_p: No Discriminator_loss: 1.69259 Generator_loss: 0.0729996 
[INFO] 2020-09-18 07:29:34 > Step:   49100 Progress: 49.1% Elapsed: 17:43:14 temperature: no ada_p: No Discriminator_loss: 1.78498 Generator_loss: 0.530072 
[INFO] 2020-09-18 07:31:39 > Step:   49200 Progress: 49.2% Elapsed: 17:45:19 temperature: no ada_p: No Discriminator_loss: 1.67131 Generator_loss: 0.35921 
[INFO] 2020-09-18 07:33:42 > Step:   49300 Progress: 49.3% Elapsed: 17:47:22 temperature: no ada_p: No Discriminator_loss: 1.72867 Generator_loss: 0.466042 
[INFO] 2020-09-18 07:35:46 > Step:   49400 Progress: 49.4% Elapsed: 17:49:26 temperature: no ada_p: No Discriminator_loss: 1.70962 Generator_loss: 0.508171 
[INFO] 2020-09-18 07:37:48 > Step:   49500 Progress: 49.5% Elapsed: 17:51:29 temperature: no ada_p: No Discriminator_loss: 1.75845 Generator_loss: 0.546475 
[INFO] 2020-09-18 07:39:51 > Step:   49600 Progress: 49.6% Elapsed: 17:53:32 temperature: no ada_p: No Discriminator_loss: 1.74156 Generator_loss: 0.399367 
[INFO] 2020-09-18 07:41:55 > Step:   49700 Progress: 49.7% Elapsed: 17:55:36 temperature: no ada_p: No Discriminator_loss: 1.63201 Generator_loss: 0.400313 
[INFO] 2020-09-18 07:43:59 > Step:   49800 Progress: 49.8% Elapsed: 17:57:39 temperature: no ada_p: No Discriminator_loss: 1.76433 Generator_loss: 0.443371 
[INFO] 2020-09-18 07:46:03 > Step:   49900 Progress: 49.9% Elapsed: 17:59:44 temperature: no ada_p: No Discriminator_loss: 1.69229 Generator_loss: 0.323992 
[INFO] 2020-09-18 07:48:08 > Step:   50000 Progress: 50.0% Elapsed: 18:01:48 temperature: no ada_p: No Discriminator_loss: 1.74669 Generator_loss: 0.328993 
[INFO] 2020-09-18 07:48:08 > Start Evaluation (50000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 07:50:15 > F_8 score (Step: 50000, Using test images): 0.9938602569247402
[INFO] 2020-09-18 07:50:15 > F_1/8 score (Step: 50000, Using test images): 0.9936184650896789
[INFO] 2020-09-18 07:50:15 > FID score (Step: 50000, Using test moments): 8.248705811253103
[INFO] 2020-09-18 07:50:15 > Inception score (Step: 50000, 10000 generated images): 9.934907913208008
[INFO] 2020-09-18 07:50:15 > Best FID score (Step: 50000, Using test moments): 8.248705811253103
[INFO] 2020-09-18 07:50:20 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 07:52:15 > Step:   50100 Progress: 50.1% Elapsed: 18:05:56 temperature: no ada_p: No Discriminator_loss: 1.83259 Generator_loss: 0.546496 
[INFO] 2020-09-18 07:54:19 > Step:   50200 Progress: 50.2% Elapsed: 18:07:59 temperature: no ada_p: No Discriminator_loss: 1.71716 Generator_loss: 0.427336 
[INFO] 2020-09-18 07:56:23 > Step:   50300 Progress: 50.3% Elapsed: 18:10:03 temperature: no ada_p: No Discriminator_loss: 1.78066 Generator_loss: 0.507697 
[INFO] 2020-09-18 07:58:25 > Step:   50400 Progress: 50.4% Elapsed: 18:12:06 temperature: no ada_p: No Discriminator_loss: 1.74614 Generator_loss: 0.526394 
[INFO] 2020-09-18 08:00:29 > Step:   50500 Progress: 50.5% Elapsed: 18:14:10 temperature: no ada_p: No Discriminator_loss: 1.75464 Generator_loss: 0.317666 
[INFO] 2020-09-18 08:02:32 > Step:   50600 Progress: 50.6% Elapsed: 18:16:12 temperature: no ada_p: No Discriminator_loss: 1.6456 Generator_loss: 0.405077 
[INFO] 2020-09-18 08:04:35 > Step:   50700 Progress: 50.7% Elapsed: 18:18:15 temperature: no ada_p: No Discriminator_loss: 1.69652 Generator_loss: 0.554767 
[INFO] 2020-09-18 08:06:37 > Step:   50800 Progress: 50.8% Elapsed: 18:20:18 temperature: no ada_p: No Discriminator_loss: 1.78949 Generator_loss: 0.470413 
[INFO] 2020-09-18 08:08:40 > Step:   50900 Progress: 50.9% Elapsed: 18:22:20 temperature: no ada_p: No Discriminator_loss: 1.6846 Generator_loss: 0.244968 
[INFO] 2020-09-18 08:10:43 > Step:   51000 Progress: 51.0% Elapsed: 18:24:23 temperature: no ada_p: No Discriminator_loss: 1.77635 Generator_loss: 0.347585 
[INFO] 2020-09-18 08:12:44 > Step:   51100 Progress: 51.1% Elapsed: 18:26:25 temperature: no ada_p: No Discriminator_loss: 1.79567 Generator_loss: 0.512174 
[INFO] 2020-09-18 08:14:47 > Step:   51200 Progress: 51.2% Elapsed: 18:28:27 temperature: no ada_p: No Discriminator_loss: 1.73116 Generator_loss: 0.27326 
[INFO] 2020-09-18 08:16:46 > Step:   51300 Progress: 51.3% Elapsed: 18:30:27 temperature: no ada_p: No Discriminator_loss: 1.68917 Generator_loss: 0.472461 
[INFO] 2020-09-18 08:18:44 > Step:   51400 Progress: 51.4% Elapsed: 18:32:24 temperature: no ada_p: No Discriminator_loss: 1.7099 Generator_loss: 0.424388 
[INFO] 2020-09-18 08:20:46 > Step:   51500 Progress: 51.5% Elapsed: 18:34:26 temperature: no ada_p: No Discriminator_loss: 1.88768 Generator_loss: 0.401389 
[INFO] 2020-09-18 08:22:50 > Step:   51600 Progress: 51.6% Elapsed: 18:36:30 temperature: no ada_p: No Discriminator_loss: 1.82668 Generator_loss: 0.201241 
[INFO] 2020-09-18 08:24:53 > Step:   51700 Progress: 51.7% Elapsed: 18:38:33 temperature: no ada_p: No Discriminator_loss: 1.73288 Generator_loss: 0.512856 
[INFO] 2020-09-18 08:26:58 > Step:   51800 Progress: 51.8% Elapsed: 18:40:38 temperature: no ada_p: No Discriminator_loss: 1.80274 Generator_loss: 0.577341 
[INFO] 2020-09-18 08:29:01 > Step:   51900 Progress: 51.9% Elapsed: 18:42:41 temperature: no ada_p: No Discriminator_loss: 1.7898 Generator_loss: 0.474301 
[INFO] 2020-09-18 08:31:04 > Step:   52000 Progress: 52.0% Elapsed: 18:44:44 temperature: no ada_p: No Discriminator_loss: 1.72595 Generator_loss: 0.440056 
[INFO] 2020-09-18 08:31:04 > Start Evaluation (52000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 08:33:10 > F_8 score (Step: 52000, Using test images): 0.9905671011904457
[INFO] 2020-09-18 08:33:10 > F_1/8 score (Step: 52000, Using test images): 0.9944951705718208
[INFO] 2020-09-18 08:33:10 > FID score (Step: 52000, Using test moments): 8.342848542566855
[INFO] 2020-09-18 08:33:10 > Inception score (Step: 52000, 10000 generated images): 10.05782413482666
[INFO] 2020-09-18 08:33:10 > Best FID score (Step: 50000, Using test moments): 8.248705811253103
[INFO] 2020-09-18 08:33:12 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 08:35:15 > Step:   52100 Progress: 52.1% Elapsed: 18:48:55 temperature: no ada_p: No Discriminator_loss: 1.82682 Generator_loss: 0.505337 
[INFO] 2020-09-18 08:37:18 > Step:   52200 Progress: 52.2% Elapsed: 18:50:59 temperature: no ada_p: No Discriminator_loss: 1.6593 Generator_loss: 0.377235 
[INFO] 2020-09-18 08:39:21 > Step:   52300 Progress: 52.3% Elapsed: 18:53:01 temperature: no ada_p: No Discriminator_loss: 1.67937 Generator_loss: 0.544877 
[INFO] 2020-09-18 08:41:25 > Step:   52400 Progress: 52.4% Elapsed: 18:55:05 temperature: no ada_p: No Discriminator_loss: 1.72516 Generator_loss: 0.504736 
[INFO] 2020-09-18 08:43:21 > Step:   52500 Progress: 52.5% Elapsed: 18:57:02 temperature: no ada_p: No Discriminator_loss: 1.83073 Generator_loss: 0.408569 
[INFO] 2020-09-18 08:45:23 > Step:   52600 Progress: 52.6% Elapsed: 18:59:03 temperature: no ada_p: No Discriminator_loss: 1.7476 Generator_loss: 0.42414 
[INFO] 2020-09-18 08:47:27 > Step:   52700 Progress: 52.7% Elapsed: 19:01:07 temperature: no ada_p: No Discriminator_loss: 1.88966 Generator_loss: 0.49095 
[INFO] 2020-09-18 08:49:30 > Step:   52800 Progress: 52.8% Elapsed: 19:03:11 temperature: no ada_p: No Discriminator_loss: 1.85243 Generator_loss: 0.533307 
[INFO] 2020-09-18 08:51:33 > Step:   52900 Progress: 52.9% Elapsed: 19:05:13 temperature: no ada_p: No Discriminator_loss: 1.73726 Generator_loss: 0.458165 
[INFO] 2020-09-18 08:53:37 > Step:   53000 Progress: 53.0% Elapsed: 19:07:17 temperature: no ada_p: No Discriminator_loss: 1.83264 Generator_loss: 0.357237 
[INFO] 2020-09-18 08:55:41 > Step:   53100 Progress: 53.1% Elapsed: 19:09:21 temperature: no ada_p: No Discriminator_loss: 1.7705 Generator_loss: 0.16452 
[INFO] 2020-09-18 08:57:44 > Step:   53200 Progress: 53.2% Elapsed: 19:11:24 temperature: no ada_p: No Discriminator_loss: 1.81411 Generator_loss: 0.364912 
[INFO] 2020-09-18 08:59:48 > Step:   53300 Progress: 53.3% Elapsed: 19:13:28 temperature: no ada_p: No Discriminator_loss: 1.8181 Generator_loss: 0.300183 
[INFO] 2020-09-18 09:01:51 > Step:   53400 Progress: 53.4% Elapsed: 19:15:32 temperature: no ada_p: No Discriminator_loss: 1.68452 Generator_loss: 0.508018 
[INFO] 2020-09-18 09:03:54 > Step:   53500 Progress: 53.5% Elapsed: 19:17:34 temperature: no ada_p: No Discriminator_loss: 1.69932 Generator_loss: 0.410756 
[INFO] 2020-09-18 09:05:58 > Step:   53600 Progress: 53.6% Elapsed: 19:19:38 temperature: no ada_p: No Discriminator_loss: 1.69654 Generator_loss: 0.324894 
[INFO] 2020-09-18 09:08:00 > Step:   53700 Progress: 53.7% Elapsed: 19:21:40 temperature: no ada_p: No Discriminator_loss: 1.66146 Generator_loss: 0.398802 
[INFO] 2020-09-18 09:09:57 > Step:   53800 Progress: 53.8% Elapsed: 19:23:37 temperature: no ada_p: No Discriminator_loss: 1.6668 Generator_loss: 0.431428 
[INFO] 2020-09-18 09:12:00 > Step:   53900 Progress: 53.9% Elapsed: 19:25:40 temperature: no ada_p: No Discriminator_loss: 1.70543 Generator_loss: 0.482638 
[INFO] 2020-09-18 09:14:02 > Step:   54000 Progress: 54.0% Elapsed: 19:27:42 temperature: no ada_p: No Discriminator_loss: 1.81116 Generator_loss: 0.475344 
[INFO] 2020-09-18 09:14:02 > Start Evaluation (54000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 09:16:09 > F_8 score (Step: 54000, Using test images): 0.993702030648622
[INFO] 2020-09-18 09:16:09 > F_1/8 score (Step: 54000, Using test images): 0.993373758711095
[INFO] 2020-09-18 09:16:09 > FID score (Step: 54000, Using test moments): 8.06489323318823
[INFO] 2020-09-18 09:16:09 > Inception score (Step: 54000, 10000 generated images): 10.133774757385254
[INFO] 2020-09-18 09:16:09 > Best FID score (Step: 54000, Using test moments): 8.06489323318823
[INFO] 2020-09-18 09:16:14 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 09:18:17 > Step:   54100 Progress: 54.1% Elapsed: 19:31:57 temperature: no ada_p: No Discriminator_loss: 1.81812 Generator_loss: 0.333423 
[INFO] 2020-09-18 09:20:20 > Step:   54200 Progress: 54.2% Elapsed: 19:34:01 temperature: no ada_p: No Discriminator_loss: 1.81049 Generator_loss: 0.367653 
[INFO] 2020-09-18 09:22:25 > Step:   54300 Progress: 54.3% Elapsed: 19:36:05 temperature: no ada_p: No Discriminator_loss: 1.75881 Generator_loss: 0.44801 
[INFO] 2020-09-18 09:24:29 > Step:   54400 Progress: 54.4% Elapsed: 19:38:09 temperature: no ada_p: No Discriminator_loss: 1.77861 Generator_loss: 0.481909 
[INFO] 2020-09-18 09:26:32 > Step:   54500 Progress: 54.5% Elapsed: 19:40:12 temperature: no ada_p: No Discriminator_loss: 1.78495 Generator_loss: 0.476405 
[INFO] 2020-09-18 09:28:34 > Step:   54600 Progress: 54.6% Elapsed: 19:42:14 temperature: no ada_p: No Discriminator_loss: 1.7207 Generator_loss: 0.363118 
[INFO] 2020-09-18 09:30:37 > Step:   54700 Progress: 54.7% Elapsed: 19:44:17 temperature: no ada_p: No Discriminator_loss: 1.75833 Generator_loss: 0.475549 
[INFO] 2020-09-18 09:32:40 > Step:   54800 Progress: 54.8% Elapsed: 19:46:20 temperature: no ada_p: No Discriminator_loss: 1.71284 Generator_loss: 0.471049 
[INFO] 2020-09-18 09:34:37 > Step:   54900 Progress: 54.9% Elapsed: 19:48:17 temperature: no ada_p: No Discriminator_loss: 1.84842 Generator_loss: 0.388566 
[INFO] 2020-09-18 09:36:37 > Step:   55000 Progress: 55.0% Elapsed: 19:50:18 temperature: no ada_p: No Discriminator_loss: 1.63497 Generator_loss: 0.366107 
[INFO] 2020-09-18 09:38:40 > Step:   55100 Progress: 55.1% Elapsed: 19:52:20 temperature: no ada_p: No Discriminator_loss: 1.65094 Generator_loss: 0.236876 
[INFO] 2020-09-18 09:40:43 > Step:   55200 Progress: 55.2% Elapsed: 19:54:24 temperature: no ada_p: No Discriminator_loss: 1.72911 Generator_loss: 0.465851 
[INFO] 2020-09-18 09:42:48 > Step:   55300 Progress: 55.3% Elapsed: 19:56:28 temperature: no ada_p: No Discriminator_loss: 1.71244 Generator_loss: 0.550485 
[INFO] 2020-09-18 09:44:52 > Step:   55400 Progress: 55.4% Elapsed: 19:58:32 temperature: no ada_p: No Discriminator_loss: 1.74106 Generator_loss: 0.418908 
[INFO] 2020-09-18 09:46:55 > Step:   55500 Progress: 55.5% Elapsed: 20:00:35 temperature: no ada_p: No Discriminator_loss: 1.7078 Generator_loss: 0.392976 
[INFO] 2020-09-18 09:49:00 > Step:   55600 Progress: 55.6% Elapsed: 20:02:40 temperature: no ada_p: No Discriminator_loss: 1.73904 Generator_loss: 0.602309 
[INFO] 2020-09-18 09:51:04 > Step:   55700 Progress: 55.7% Elapsed: 20:04:44 temperature: no ada_p: No Discriminator_loss: 1.76627 Generator_loss: 0.427619 
[INFO] 2020-09-18 09:53:07 > Step:   55800 Progress: 55.8% Elapsed: 20:06:47 temperature: no ada_p: No Discriminator_loss: 1.74589 Generator_loss: 0.455519 
[INFO] 2020-09-18 09:55:10 > Step:   55900 Progress: 55.9% Elapsed: 20:08:50 temperature: no ada_p: No Discriminator_loss: 1.72109 Generator_loss: 0.389921 
[INFO] 2020-09-18 09:57:14 > Step:   56000 Progress: 56.0% Elapsed: 20:10:54 temperature: no ada_p: No Discriminator_loss: 1.72244 Generator_loss: 0.317159 
[INFO] 2020-09-18 09:57:14 > Start Evaluation (56000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 09:59:19 > F_8 score (Step: 56000, Using test images): 0.9914889349872741
[INFO] 2020-09-18 09:59:19 > F_1/8 score (Step: 56000, Using test images): 0.9950051994136232
[INFO] 2020-09-18 09:59:19 > FID score (Step: 56000, Using test moments): 8.113272541592153
[INFO] 2020-09-18 09:59:19 > Inception score (Step: 56000, 10000 generated images): 10.198537826538086
[INFO] 2020-09-18 09:59:19 > Best FID score (Step: 54000, Using test moments): 8.06489323318823
[INFO] 2020-09-18 09:59:21 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 10:01:18 > Step:   56100 Progress: 56.1% Elapsed: 20:14:59 temperature: no ada_p: No Discriminator_loss: 1.69972 Generator_loss: 0.409746 
[INFO] 2020-09-18 10:03:22 > Step:   56200 Progress: 56.2% Elapsed: 20:17:02 temperature: no ada_p: No Discriminator_loss: 1.86801 Generator_loss: 0.294216 
[INFO] 2020-09-18 10:05:26 > Step:   56300 Progress: 56.3% Elapsed: 20:19:06 temperature: no ada_p: No Discriminator_loss: 1.6995 Generator_loss: 0.350448 
[INFO] 2020-09-18 10:07:32 > Step:   56400 Progress: 56.4% Elapsed: 20:21:12 temperature: no ada_p: No Discriminator_loss: 1.80943 Generator_loss: 0.471596 
[INFO] 2020-09-18 10:09:36 > Step:   56500 Progress: 56.5% Elapsed: 20:23:16 temperature: no ada_p: No Discriminator_loss: 1.76431 Generator_loss: 0.358169 
[INFO] 2020-09-18 10:11:39 > Step:   56600 Progress: 56.6% Elapsed: 20:25:19 temperature: no ada_p: No Discriminator_loss: 1.73327 Generator_loss: 0.357422 
[INFO] 2020-09-18 10:13:42 > Step:   56700 Progress: 56.7% Elapsed: 20:27:22 temperature: no ada_p: No Discriminator_loss: 1.79875 Generator_loss: 0.4938 
[INFO] 2020-09-18 10:15:44 > Step:   56800 Progress: 56.8% Elapsed: 20:29:24 temperature: no ada_p: No Discriminator_loss: 1.62594 Generator_loss: 0.417268 
[INFO] 2020-09-18 10:17:47 > Step:   56900 Progress: 56.9% Elapsed: 20:31:27 temperature: no ada_p: No Discriminator_loss: 1.62392 Generator_loss: 0.404342 
[INFO] 2020-09-18 10:19:50 > Step:   57000 Progress: 57.0% Elapsed: 20:33:31 temperature: no ada_p: No Discriminator_loss: 1.68078 Generator_loss: 0.652521 
[INFO] 2020-09-18 10:21:52 > Step:   57100 Progress: 57.1% Elapsed: 20:35:33 temperature: no ada_p: No Discriminator_loss: 1.80972 Generator_loss: 0.394509 
[INFO] 2020-09-18 10:23:56 > Step:   57200 Progress: 57.2% Elapsed: 20:37:36 temperature: no ada_p: No Discriminator_loss: 1.76288 Generator_loss: 0.531703 
[INFO] 2020-09-18 10:25:52 > Step:   57300 Progress: 57.3% Elapsed: 20:39:32 temperature: no ada_p: No Discriminator_loss: 1.68722 Generator_loss: 0.48141 
[INFO] 2020-09-18 10:27:52 > Step:   57400 Progress: 57.4% Elapsed: 20:41:32 temperature: no ada_p: No Discriminator_loss: 1.69474 Generator_loss: 0.385143 
[INFO] 2020-09-18 10:29:56 > Step:   57500 Progress: 57.5% Elapsed: 20:43:36 temperature: no ada_p: No Discriminator_loss: 1.73511 Generator_loss: 0.59004 
[INFO] 2020-09-18 10:31:59 > Step:   57600 Progress: 57.6% Elapsed: 20:45:39 temperature: no ada_p: No Discriminator_loss: 1.65928 Generator_loss: 0.434163 
[INFO] 2020-09-18 10:34:02 > Step:   57700 Progress: 57.7% Elapsed: 20:47:42 temperature: no ada_p: No Discriminator_loss: 1.73972 Generator_loss: 0.36387 
[INFO] 2020-09-18 10:36:06 > Step:   57800 Progress: 57.8% Elapsed: 20:49:47 temperature: no ada_p: No Discriminator_loss: 1.77969 Generator_loss: 0.614351 
[INFO] 2020-09-18 10:38:08 > Step:   57900 Progress: 57.9% Elapsed: 20:51:48 temperature: no ada_p: No Discriminator_loss: 1.79726 Generator_loss: 0.586471 
[INFO] 2020-09-18 10:40:10 > Step:   58000 Progress: 58.0% Elapsed: 20:53:51 temperature: no ada_p: No Discriminator_loss: 1.66623 Generator_loss: 0.373192 
[INFO] 2020-09-18 10:40:11 > Start Evaluation (58000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 10:42:18 > F_8 score (Step: 58000, Using test images): 0.9948336405057333
[INFO] 2020-09-18 10:42:18 > F_1/8 score (Step: 58000, Using test images): 0.9927057762396608
[INFO] 2020-09-18 10:42:18 > FID score (Step: 58000, Using test moments): 7.8974899316084475
[INFO] 2020-09-18 10:42:18 > Inception score (Step: 58000, 10000 generated images): 10.267950057983398
[INFO] 2020-09-18 10:42:18 > Best FID score (Step: 58000, Using test moments): 7.8974899316084475
[INFO] 2020-09-18 10:42:22 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 10:44:25 > Step:   58100 Progress: 58.1% Elapsed: 20:58:05 temperature: no ada_p: No Discriminator_loss: 1.60389 Generator_loss: 0.396945 
[INFO] 2020-09-18 10:46:29 > Step:   58200 Progress: 58.2% Elapsed: 21:00:09 temperature: no ada_p: No Discriminator_loss: 1.65595 Generator_loss: 0.488469 
[INFO] 2020-09-18 10:48:32 > Step:   58300 Progress: 58.3% Elapsed: 21:02:12 temperature: no ada_p: No Discriminator_loss: 1.79109 Generator_loss: 0.420815 
[INFO] 2020-09-18 10:50:32 > Step:   58400 Progress: 58.4% Elapsed: 21:04:13 temperature: no ada_p: No Discriminator_loss: 1.7812 Generator_loss: 0.355411 
[INFO] 2020-09-18 10:52:30 > Step:   58500 Progress: 58.5% Elapsed: 21:06:10 temperature: no ada_p: No Discriminator_loss: 1.77244 Generator_loss: 0.400242 
[INFO] 2020-09-18 10:54:34 > Step:   58600 Progress: 58.6% Elapsed: 21:08:14 temperature: no ada_p: No Discriminator_loss: 1.76616 Generator_loss: 0.344635 
[INFO] 2020-09-18 10:56:37 > Step:   58700 Progress: 58.7% Elapsed: 21:10:18 temperature: no ada_p: No Discriminator_loss: 1.83011 Generator_loss: 0.503757 
[INFO] 2020-09-18 10:58:41 > Step:   58800 Progress: 58.8% Elapsed: 21:12:21 temperature: no ada_p: No Discriminator_loss: 1.69255 Generator_loss: 0.58874 
[INFO] 2020-09-18 11:00:45 > Step:   58900 Progress: 58.9% Elapsed: 21:14:25 temperature: no ada_p: No Discriminator_loss: 1.73309 Generator_loss: 0.399353 
[INFO] 2020-09-18 11:02:48 > Step:   59000 Progress: 59.0% Elapsed: 21:16:28 temperature: no ada_p: No Discriminator_loss: 1.64938 Generator_loss: 0.533197 
[INFO] 2020-09-18 11:04:53 > Step:   59100 Progress: 59.1% Elapsed: 21:18:33 temperature: no ada_p: No Discriminator_loss: 1.78189 Generator_loss: 0.40941 
[INFO] 2020-09-18 11:06:56 > Step:   59200 Progress: 59.2% Elapsed: 21:20:36 temperature: no ada_p: No Discriminator_loss: 1.70097 Generator_loss: 0.458533 
[INFO] 2020-09-18 11:09:00 > Step:   59300 Progress: 59.3% Elapsed: 21:22:40 temperature: no ada_p: No Discriminator_loss: 1.65063 Generator_loss: 0.446671 
[INFO] 2020-09-18 11:11:05 > Step:   59400 Progress: 59.4% Elapsed: 21:24:45 temperature: no ada_p: No Discriminator_loss: 1.7219 Generator_loss: 0.381665 
[INFO] 2020-09-18 11:13:09 > Step:   59500 Progress: 59.5% Elapsed: 21:26:49 temperature: no ada_p: No Discriminator_loss: 1.81423 Generator_loss: 0.613239 
[INFO] 2020-09-18 11:15:12 > Step:   59600 Progress: 59.6% Elapsed: 21:28:53 temperature: no ada_p: No Discriminator_loss: 1.7571 Generator_loss: 0.472705 
[INFO] 2020-09-18 11:17:10 > Step:   59700 Progress: 59.7% Elapsed: 21:30:51 temperature: no ada_p: No Discriminator_loss: 1.74881 Generator_loss: 0.379863 
[INFO] 2020-09-18 11:19:06 > Step:   59800 Progress: 59.8% Elapsed: 21:32:46 temperature: no ada_p: No Discriminator_loss: 1.8303 Generator_loss: 0.532049 
[INFO] 2020-09-18 11:21:01 > Step:   59900 Progress: 59.9% Elapsed: 21:34:41 temperature: no ada_p: No Discriminator_loss: 1.7897 Generator_loss: 0.450579 
[INFO] 2020-09-18 11:22:56 > Step:   60000 Progress: 60.0% Elapsed: 21:36:36 temperature: no ada_p: No Discriminator_loss: 1.88437 Generator_loss: 0.475303 
[INFO] 2020-09-18 11:22:56 > Start Evaluation (60000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 11:24:56 > F_8 score (Step: 60000, Using test images): 0.9918810061888145
[INFO] 2020-09-18 11:24:56 > F_1/8 score (Step: 60000, Using test images): 0.9944203621638535
[INFO] 2020-09-18 11:24:56 > FID score (Step: 60000, Using test moments): 7.967269219539844
[INFO] 2020-09-18 11:24:56 > Inception score (Step: 60000, 10000 generated images): 10.126372337341309
[INFO] 2020-09-18 11:24:56 > Best FID score (Step: 58000, Using test moments): 7.8974899316084475
[INFO] 2020-09-18 11:24:59 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 11:26:53 > Step:   60100 Progress: 60.1% Elapsed: 21:40:33 temperature: no ada_p: No Discriminator_loss: 1.76681 Generator_loss: 0.469558 
[INFO] 2020-09-18 11:28:48 > Step:   60200 Progress: 60.2% Elapsed: 21:42:28 temperature: no ada_p: No Discriminator_loss: 1.72855 Generator_loss: 0.42366 
[INFO] 2020-09-18 11:30:43 > Step:   60300 Progress: 60.3% Elapsed: 21:44:23 temperature: no ada_p: No Discriminator_loss: 1.70003 Generator_loss: 0.491243 
[INFO] 2020-09-18 11:32:37 > Step:   60400 Progress: 60.4% Elapsed: 21:46:17 temperature: no ada_p: No Discriminator_loss: 1.72901 Generator_loss: 0.64939 
[INFO] 2020-09-18 11:34:32 > Step:   60500 Progress: 60.5% Elapsed: 21:48:12 temperature: no ada_p: No Discriminator_loss: 1.81554 Generator_loss: 0.340079 
[INFO] 2020-09-18 11:36:26 > Step:   60600 Progress: 60.6% Elapsed: 21:50:06 temperature: no ada_p: No Discriminator_loss: 1.73824 Generator_loss: 0.454275 
[INFO] 2020-09-18 11:38:21 > Step:   60700 Progress: 60.7% Elapsed: 21:52:01 temperature: no ada_p: No Discriminator_loss: 1.71548 Generator_loss: 0.31268 
[INFO] 2020-09-18 11:40:16 > Step:   60800 Progress: 60.8% Elapsed: 21:53:56 temperature: no ada_p: No Discriminator_loss: 1.69009 Generator_loss: 0.45192 
[INFO] 2020-09-18 11:42:10 > Step:   60900 Progress: 60.9% Elapsed: 21:55:51 temperature: no ada_p: No Discriminator_loss: 1.7766 Generator_loss: 0.495454 
[INFO] 2020-09-18 11:44:05 > Step:   61000 Progress: 61.0% Elapsed: 21:57:46 temperature: no ada_p: No Discriminator_loss: 1.83287 Generator_loss: 0.491303 
[INFO] 2020-09-18 11:46:00 > Step:   61100 Progress: 61.1% Elapsed: 21:59:40 temperature: no ada_p: No Discriminator_loss: 1.69539 Generator_loss: 0.443061 
[INFO] 2020-09-18 11:47:55 > Step:   61200 Progress: 61.2% Elapsed: 22:01:35 temperature: no ada_p: No Discriminator_loss: 1.69638 Generator_loss: 0.475657 
[INFO] 2020-09-18 11:49:50 > Step:   61300 Progress: 61.3% Elapsed: 22:03:30 temperature: no ada_p: No Discriminator_loss: 1.82056 Generator_loss: 0.463724 
[INFO] 2020-09-18 11:51:45 > Step:   61400 Progress: 61.4% Elapsed: 22:05:25 temperature: no ada_p: No Discriminator_loss: 1.79413 Generator_loss: 0.521941 
[INFO] 2020-09-18 11:53:40 > Step:   61500 Progress: 61.5% Elapsed: 22:07:20 temperature: no ada_p: No Discriminator_loss: 1.80736 Generator_loss: 0.472008 
[INFO] 2020-09-18 11:55:35 > Step:   61600 Progress: 61.6% Elapsed: 22:09:16 temperature: no ada_p: No Discriminator_loss: 1.71272 Generator_loss: 0.495722 
[INFO] 2020-09-18 11:57:32 > Step:   61700 Progress: 61.7% Elapsed: 22:11:12 temperature: no ada_p: No Discriminator_loss: 1.74394 Generator_loss: 0.487 
[INFO] 2020-09-18 11:59:27 > Step:   61800 Progress: 61.8% Elapsed: 22:13:08 temperature: no ada_p: No Discriminator_loss: 1.73983 Generator_loss: 0.360973 
[INFO] 2020-09-18 12:01:23 > Step:   61900 Progress: 61.9% Elapsed: 22:15:03 temperature: no ada_p: No Discriminator_loss: 1.77135 Generator_loss: 0.193362 
[INFO] 2020-09-18 12:03:17 > Step:   62000 Progress: 62.0% Elapsed: 22:16:57 temperature: no ada_p: No Discriminator_loss: 1.63695 Generator_loss: 0.517318 
[INFO] 2020-09-18 12:03:17 > Start Evaluation (62000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 12:05:19 > F_8 score (Step: 62000, Using test images): 0.9951170184646061
[INFO] 2020-09-18 12:05:19 > F_1/8 score (Step: 62000, Using test images): 0.9937426955453824
[INFO] 2020-09-18 12:05:19 > FID score (Step: 62000, Using test moments): 7.884183510539231
[INFO] 2020-09-18 12:05:19 > Inception score (Step: 62000, 10000 generated images): 9.990056037902832
[INFO] 2020-09-18 12:05:19 > Best FID score (Step: 62000, Using test moments): 7.884183510539231
[INFO] 2020-09-18 12:05:23 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 12:07:19 > Step:   62100 Progress: 62.1% Elapsed: 22:20:59 temperature: no ada_p: No Discriminator_loss: 1.64579 Generator_loss: 0.41048 
[INFO] 2020-09-18 12:09:14 > Step:   62200 Progress: 62.2% Elapsed: 22:22:54 temperature: no ada_p: No Discriminator_loss: 1.73589 Generator_loss: 0.432485 
[INFO] 2020-09-18 12:11:09 > Step:   62300 Progress: 62.3% Elapsed: 22:24:49 temperature: no ada_p: No Discriminator_loss: 1.81032 Generator_loss: 0.329736 
[INFO] 2020-09-18 12:13:04 > Step:   62400 Progress: 62.4% Elapsed: 22:26:44 temperature: no ada_p: No Discriminator_loss: 1.78077 Generator_loss: 0.389119 
[INFO] 2020-09-18 12:14:59 > Step:   62500 Progress: 62.5% Elapsed: 22:28:39 temperature: no ada_p: No Discriminator_loss: 1.64458 Generator_loss: 0.40134 
[INFO] 2020-09-18 12:16:53 > Step:   62600 Progress: 62.6% Elapsed: 22:30:33 temperature: no ada_p: No Discriminator_loss: 1.86868 Generator_loss: 0.540428 
[INFO] 2020-09-18 12:18:48 > Step:   62700 Progress: 62.7% Elapsed: 22:32:28 temperature: no ada_p: No Discriminator_loss: 1.75432 Generator_loss: 0.494746 
[INFO] 2020-09-18 12:20:43 > Step:   62800 Progress: 62.8% Elapsed: 22:34:23 temperature: no ada_p: No Discriminator_loss: 1.80899 Generator_loss: 0.51276 
[INFO] 2020-09-18 12:22:37 > Step:   62900 Progress: 62.9% Elapsed: 22:36:18 temperature: no ada_p: No Discriminator_loss: 1.76554 Generator_loss: 0.577903 
[INFO] 2020-09-18 12:24:32 > Step:   63000 Progress: 63.0% Elapsed: 22:38:13 temperature: no ada_p: No Discriminator_loss: 1.73556 Generator_loss: 0.645247 
[INFO] 2020-09-18 12:26:27 > Step:   63100 Progress: 63.1% Elapsed: 22:40:07 temperature: no ada_p: No Discriminator_loss: 1.69777 Generator_loss: 0.521893 
[INFO] 2020-09-18 12:28:22 > Step:   63200 Progress: 63.2% Elapsed: 22:42:02 temperature: no ada_p: No Discriminator_loss: 1.78487 Generator_loss: 0.417706 
[INFO] 2020-09-18 12:30:17 > Step:   63300 Progress: 63.3% Elapsed: 22:43:57 temperature: no ada_p: No Discriminator_loss: 1.66425 Generator_loss: 0.363648 
[INFO] 2020-09-18 12:32:12 > Step:   63400 Progress: 63.4% Elapsed: 22:45:52 temperature: no ada_p: No Discriminator_loss: 1.66156 Generator_loss: 0.517915 
[INFO] 2020-09-18 12:34:06 > Step:   63500 Progress: 63.5% Elapsed: 22:47:46 temperature: no ada_p: No Discriminator_loss: 1.74087 Generator_loss: 0.507311 
[INFO] 2020-09-18 12:36:01 > Step:   63600 Progress: 63.6% Elapsed: 22:49:41 temperature: no ada_p: No Discriminator_loss: 1.69051 Generator_loss: 0.523419 
[INFO] 2020-09-18 12:37:55 > Step:   63700 Progress: 63.7% Elapsed: 22:51:35 temperature: no ada_p: No Discriminator_loss: 1.7709 Generator_loss: 0.202877 
[INFO] 2020-09-18 12:39:49 > Step:   63800 Progress: 63.8% Elapsed: 22:53:29 temperature: no ada_p: No Discriminator_loss: 1.74541 Generator_loss: 0.610403 
[INFO] 2020-09-18 12:41:44 > Step:   63900 Progress: 63.9% Elapsed: 22:55:24 temperature: no ada_p: No Discriminator_loss: 1.72363 Generator_loss: 0.312454 
[INFO] 2020-09-18 12:43:39 > Step:   64000 Progress: 64.0% Elapsed: 22:57:19 temperature: no ada_p: No Discriminator_loss: 1.83029 Generator_loss: 0.649154 
[INFO] 2020-09-18 12:43:39 > Start Evaluation (64000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 12:45:40 > F_8 score (Step: 64000, Using test images): 0.9906389557080546
[INFO] 2020-09-18 12:45:40 > F_1/8 score (Step: 64000, Using test images): 0.9951628922620388
[INFO] 2020-09-18 12:45:40 > FID score (Step: 64000, Using test moments): 7.7503750648282335
[INFO] 2020-09-18 12:45:40 > Inception score (Step: 64000, 10000 generated images): 10.081716537475586
[INFO] 2020-09-18 12:45:40 > Best FID score (Step: 64000, Using test moments): 7.7503750648282335
[INFO] 2020-09-18 12:45:44 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 12:47:40 > Step:   64100 Progress: 64.1% Elapsed: 23:01:20 temperature: no ada_p: No Discriminator_loss: 1.71774 Generator_loss: 0.426981 
[INFO] 2020-09-18 12:49:35 > Step:   64200 Progress: 64.2% Elapsed: 23:03:15 temperature: no ada_p: No Discriminator_loss: 1.75636 Generator_loss: 0.509185 
[INFO] 2020-09-18 12:51:30 > Step:   64300 Progress: 64.3% Elapsed: 23:05:11 temperature: no ada_p: No Discriminator_loss: 1.72664 Generator_loss: 0.455034 
[INFO] 2020-09-18 12:53:25 > Step:   64400 Progress: 64.4% Elapsed: 23:07:05 temperature: no ada_p: No Discriminator_loss: 1.88155 Generator_loss: 0.324417 
[INFO] 2020-09-18 12:55:20 > Step:   64500 Progress: 64.5% Elapsed: 23:09:00 temperature: no ada_p: No Discriminator_loss: 1.81487 Generator_loss: 0.523436 
[INFO] 2020-09-18 12:57:14 > Step:   64600 Progress: 64.6% Elapsed: 23:10:54 temperature: no ada_p: No Discriminator_loss: 1.85834 Generator_loss: 0.596839 
[INFO] 2020-09-18 12:59:09 > Step:   64700 Progress: 64.7% Elapsed: 23:12:49 temperature: no ada_p: No Discriminator_loss: 1.62307 Generator_loss: 0.532064 
[INFO] 2020-09-18 13:01:02 > Step:   64800 Progress: 64.8% Elapsed: 23:14:43 temperature: no ada_p: No Discriminator_loss: 1.72159 Generator_loss: 0.411122 
[INFO] 2020-09-18 13:02:56 > Step:   64900 Progress: 64.9% Elapsed: 23:16:36 temperature: no ada_p: No Discriminator_loss: 1.6365 Generator_loss: 0.325642 
[INFO] 2020-09-18 13:04:49 > Step:   65000 Progress: 65.0% Elapsed: 23:18:29 temperature: no ada_p: No Discriminator_loss: 1.61863 Generator_loss: 0.436733 
[INFO] 2020-09-18 13:06:42 > Step:   65100 Progress: 65.1% Elapsed: 23:20:22 temperature: no ada_p: No Discriminator_loss: 1.78614 Generator_loss: 0.27546 
[INFO] 2020-09-18 13:08:36 > Step:   65200 Progress: 65.2% Elapsed: 23:22:16 temperature: no ada_p: No Discriminator_loss: 1.74605 Generator_loss: 0.579222 
[INFO] 2020-09-18 13:10:29 > Step:   65300 Progress: 65.3% Elapsed: 23:24:09 temperature: no ada_p: No Discriminator_loss: 1.74159 Generator_loss: 0.355679 
[INFO] 2020-09-18 13:12:23 > Step:   65400 Progress: 65.4% Elapsed: 23:26:03 temperature: no ada_p: No Discriminator_loss: 1.76794 Generator_loss: 0.459646 
[INFO] 2020-09-18 13:14:17 > Step:   65500 Progress: 65.5% Elapsed: 23:27:57 temperature: no ada_p: No Discriminator_loss: 1.78801 Generator_loss: 0.490986 
[INFO] 2020-09-18 13:16:11 > Step:   65600 Progress: 65.6% Elapsed: 23:29:51 temperature: no ada_p: No Discriminator_loss: 1.79445 Generator_loss: 0.339393 
[INFO] 2020-09-18 13:18:05 > Step:   65700 Progress: 65.7% Elapsed: 23:31:45 temperature: no ada_p: No Discriminator_loss: 1.74838 Generator_loss: 0.597669 
[INFO] 2020-09-18 13:19:59 > Step:   65800 Progress: 65.8% Elapsed: 23:33:39 temperature: no ada_p: No Discriminator_loss: 1.74786 Generator_loss: 0.422564 
[INFO] 2020-09-18 13:21:52 > Step:   65900 Progress: 65.9% Elapsed: 23:35:33 temperature: no ada_p: No Discriminator_loss: 1.7777 Generator_loss: 0.540303 
[INFO] 2020-09-18 13:23:45 > Step:   66000 Progress: 66.0% Elapsed: 23:37:26 temperature: no ada_p: No Discriminator_loss: 1.76887 Generator_loss: 0.370077 
[INFO] 2020-09-18 13:23:45 > Start Evaluation (66000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 13:25:45 > F_8 score (Step: 66000, Using test images): 0.9945272009594885
[INFO] 2020-09-18 13:25:45 > F_1/8 score (Step: 66000, Using test images): 0.9945562455553719
[INFO] 2020-09-18 13:25:45 > FID score (Step: 66000, Using test moments): 7.840100026897403
[INFO] 2020-09-18 13:25:45 > Inception score (Step: 66000, 10000 generated images): 10.20248794555664
[INFO] 2020-09-18 13:25:45 > Best FID score (Step: 64000, Using test moments): 7.7503750648282335
[INFO] 2020-09-18 13:25:48 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 13:27:42 > Step:   66100 Progress: 66.1% Elapsed: 23:41:22 temperature: no ada_p: No Discriminator_loss: 1.67906 Generator_loss: 0.350344 
[INFO] 2020-09-18 13:29:37 > Step:   66200 Progress: 66.2% Elapsed: 23:43:17 temperature: no ada_p: No Discriminator_loss: 1.8212 Generator_loss: 0.519676 
[INFO] 2020-09-18 13:31:30 > Step:   66300 Progress: 66.3% Elapsed: 23:45:10 temperature: no ada_p: No Discriminator_loss: 1.62536 Generator_loss: 0.282368 
[INFO] 2020-09-18 13:33:24 > Step:   66400 Progress: 66.4% Elapsed: 23:47:05 temperature: no ada_p: No Discriminator_loss: 1.71479 Generator_loss: 0.38092 
[INFO] 2020-09-18 13:35:19 > Step:   66500 Progress: 66.5% Elapsed: 23:48:59 temperature: no ada_p: No Discriminator_loss: 1.71047 Generator_loss: 0.404817 
[INFO] 2020-09-18 13:37:12 > Step:   66600 Progress: 66.6% Elapsed: 23:50:52 temperature: no ada_p: No Discriminator_loss: 1.82821 Generator_loss: 0.590303 
[INFO] 2020-09-18 13:39:07 > Step:   66700 Progress: 66.7% Elapsed: 23:52:47 temperature: no ada_p: No Discriminator_loss: 1.7408 Generator_loss: 0.442374 
[INFO] 2020-09-18 13:41:02 > Step:   66800 Progress: 66.8% Elapsed: 23:54:42 temperature: no ada_p: No Discriminator_loss: 1.67086 Generator_loss: 0.399979 
[INFO] 2020-09-18 13:42:57 > Step:   66900 Progress: 66.9% Elapsed: 23:56:37 temperature: no ada_p: No Discriminator_loss: 1.72957 Generator_loss: 0.388314 
[INFO] 2020-09-18 13:44:51 > Step:   67000 Progress: 67.0% Elapsed: 23:58:31 temperature: no ada_p: No Discriminator_loss: 1.72273 Generator_loss: 0.403407 
[INFO] 2020-09-18 13:46:44 > Step:   67100 Progress: 67.1% Elapsed: 1 day, 0:00:24 temperature: no ada_p: No Discriminator_loss: 1.68326 Generator_loss: 0.43134 
[INFO] 2020-09-18 13:48:38 > Step:   67200 Progress: 67.2% Elapsed: 1 day, 0:02:18 temperature: no ada_p: No Discriminator_loss: 1.81481 Generator_loss: 0.391906 
[INFO] 2020-09-18 13:50:31 > Step:   67300 Progress: 67.3% Elapsed: 1 day, 0:04:11 temperature: no ada_p: No Discriminator_loss: 1.56415 Generator_loss: 0.407894 
[INFO] 2020-09-18 13:52:25 > Step:   67400 Progress: 67.4% Elapsed: 1 day, 0:06:05 temperature: no ada_p: No Discriminator_loss: 1.76278 Generator_loss: 0.450977 
[INFO] 2020-09-18 13:54:19 > Step:   67500 Progress: 67.5% Elapsed: 1 day, 0:07:59 temperature: no ada_p: No Discriminator_loss: 1.73642 Generator_loss: 0.491336 
[INFO] 2020-09-18 13:56:12 > Step:   67600 Progress: 67.6% Elapsed: 1 day, 0:09:52 temperature: no ada_p: No Discriminator_loss: 1.84628 Generator_loss: 0.601765 
[INFO] 2020-09-18 13:58:06 > Step:   67700 Progress: 67.7% Elapsed: 1 day, 0:11:46 temperature: no ada_p: No Discriminator_loss: 1.79845 Generator_loss: 0.569111 
[INFO] 2020-09-18 14:00:00 > Step:   67800 Progress: 67.8% Elapsed: 1 day, 0:13:40 temperature: no ada_p: No Discriminator_loss: 1.71644 Generator_loss: 0.453901 
[INFO] 2020-09-18 14:01:54 > Step:   67900 Progress: 67.9% Elapsed: 1 day, 0:15:34 temperature: no ada_p: No Discriminator_loss: 1.76904 Generator_loss: 0.417295 
[INFO] 2020-09-18 14:03:49 > Step:   68000 Progress: 68.0% Elapsed: 1 day, 0:17:29 temperature: no ada_p: No Discriminator_loss: 1.7044 Generator_loss: 0.427834 
[INFO] 2020-09-18 14:03:49 > Start Evaluation (68000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 14:05:49 > F_8 score (Step: 68000, Using test images): 0.9949314592227018
[INFO] 2020-09-18 14:05:49 > F_1/8 score (Step: 68000, Using test images): 0.9944709826204783
[INFO] 2020-09-18 14:05:49 > FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 14:05:49 > Inception score (Step: 68000, 10000 generated images): 9.867171287536621
[INFO] 2020-09-18 14:05:49 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 14:05:54 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 14:07:48 > Step:   68100 Progress: 68.1% Elapsed: 1 day, 0:21:28 temperature: no ada_p: No Discriminator_loss: 1.73249 Generator_loss: 0.128734 
[INFO] 2020-09-18 14:09:42 > Step:   68200 Progress: 68.2% Elapsed: 1 day, 0:23:22 temperature: no ada_p: No Discriminator_loss: 1.7654 Generator_loss: 0.576296 
[INFO] 2020-09-18 14:11:36 > Step:   68300 Progress: 68.3% Elapsed: 1 day, 0:25:16 temperature: no ada_p: No Discriminator_loss: 1.85399 Generator_loss: 0.666367 
[INFO] 2020-09-18 14:13:30 > Step:   68400 Progress: 68.4% Elapsed: 1 day, 0:27:10 temperature: no ada_p: No Discriminator_loss: 1.76016 Generator_loss: 0.550443 
[INFO] 2020-09-18 14:15:23 > Step:   68500 Progress: 68.5% Elapsed: 1 day, 0:29:03 temperature: no ada_p: No Discriminator_loss: 1.95837 Generator_loss: 0.579432 
[INFO] 2020-09-18 14:17:17 > Step:   68600 Progress: 68.6% Elapsed: 1 day, 0:30:57 temperature: no ada_p: No Discriminator_loss: 1.85438 Generator_loss: 0.494507 
[INFO] 2020-09-18 14:19:10 > Step:   68700 Progress: 68.7% Elapsed: 1 day, 0:32:50 temperature: no ada_p: No Discriminator_loss: 1.74701 Generator_loss: 0.510438 
[INFO] 2020-09-18 14:21:04 > Step:   68800 Progress: 68.8% Elapsed: 1 day, 0:34:44 temperature: no ada_p: No Discriminator_loss: 1.73355 Generator_loss: 0.552497 
[INFO] 2020-09-18 14:22:58 > Step:   68900 Progress: 68.9% Elapsed: 1 day, 0:36:38 temperature: no ada_p: No Discriminator_loss: 1.78845 Generator_loss: 0.365524 
[INFO] 2020-09-18 14:24:50 > Step:   69000 Progress: 69.0% Elapsed: 1 day, 0:38:30 temperature: no ada_p: No Discriminator_loss: 1.78729 Generator_loss: 0.556207 
[INFO] 2020-09-18 14:26:43 > Step:   69100 Progress: 69.1% Elapsed: 1 day, 0:40:23 temperature: no ada_p: No Discriminator_loss: 1.67324 Generator_loss: 0.475488 
[INFO] 2020-09-18 14:28:37 > Step:   69200 Progress: 69.2% Elapsed: 1 day, 0:42:17 temperature: no ada_p: No Discriminator_loss: 1.65512 Generator_loss: 0.424288 
[INFO] 2020-09-18 14:30:31 > Step:   69300 Progress: 69.3% Elapsed: 1 day, 0:44:11 temperature: no ada_p: No Discriminator_loss: 1.69542 Generator_loss: 0.518367 
[INFO] 2020-09-18 14:32:25 > Step:   69400 Progress: 69.4% Elapsed: 1 day, 0:46:05 temperature: no ada_p: No Discriminator_loss: 1.678 Generator_loss: 0.389886 
[INFO] 2020-09-18 14:34:18 > Step:   69500 Progress: 69.5% Elapsed: 1 day, 0:47:58 temperature: no ada_p: No Discriminator_loss: 1.71277 Generator_loss: 0.382302 
[INFO] 2020-09-18 14:36:13 > Step:   69600 Progress: 69.6% Elapsed: 1 day, 0:49:53 temperature: no ada_p: No Discriminator_loss: 1.66775 Generator_loss: 0.467559 
[INFO] 2020-09-18 14:38:08 > Step:   69700 Progress: 69.7% Elapsed: 1 day, 0:51:48 temperature: no ada_p: No Discriminator_loss: 1.71592 Generator_loss: 0.307397 
[INFO] 2020-09-18 14:40:03 > Step:   69800 Progress: 69.8% Elapsed: 1 day, 0:53:44 temperature: no ada_p: No Discriminator_loss: 1.78886 Generator_loss: 0.566143 
[INFO] 2020-09-18 14:41:59 > Step:   69900 Progress: 69.9% Elapsed: 1 day, 0:55:39 temperature: no ada_p: No Discriminator_loss: 1.73886 Generator_loss: 0.451936 
[INFO] 2020-09-18 14:43:55 > Step:   70000 Progress: 70.0% Elapsed: 1 day, 0:57:35 temperature: no ada_p: No Discriminator_loss: 1.72769 Generator_loss: 0.203353 
[INFO] 2020-09-18 14:43:55 > Start Evaluation (70000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 14:45:59 > F_8 score (Step: 70000, Using test images): 0.9911605469486362
[INFO] 2020-09-18 14:45:59 > F_1/8 score (Step: 70000, Using test images): 0.9949350371865539
[INFO] 2020-09-18 14:45:59 > FID score (Step: 70000, Using test moments): 7.7667190802713435
[INFO] 2020-09-18 14:45:59 > Inception score (Step: 70000, 10000 generated images): 9.943090438842773
[INFO] 2020-09-18 14:45:59 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 14:46:01 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 14:47:56 > Step:   70100 Progress: 70.1% Elapsed: 1 day, 1:01:37 temperature: no ada_p: No Discriminator_loss: 1.70283 Generator_loss: 0.437877 
[INFO] 2020-09-18 14:49:53 > Step:   70200 Progress: 70.2% Elapsed: 1 day, 1:03:33 temperature: no ada_p: No Discriminator_loss: 1.69312 Generator_loss: 0.499886 
[INFO] 2020-09-18 14:51:49 > Step:   70300 Progress: 70.3% Elapsed: 1 day, 1:05:29 temperature: no ada_p: No Discriminator_loss: 1.62224 Generator_loss: 0.197928 
[INFO] 2020-09-18 14:53:44 > Step:   70400 Progress: 70.4% Elapsed: 1 day, 1:07:24 temperature: no ada_p: No Discriminator_loss: 1.72641 Generator_loss: 0.483794 
[INFO] 2020-09-18 14:55:40 > Step:   70500 Progress: 70.5% Elapsed: 1 day, 1:09:20 temperature: no ada_p: No Discriminator_loss: 1.67827 Generator_loss: 0.473882 
[INFO] 2020-09-18 14:57:35 > Step:   70600 Progress: 70.6% Elapsed: 1 day, 1:11:15 temperature: no ada_p: No Discriminator_loss: 1.79197 Generator_loss: 0.608776 
[INFO] 2020-09-18 14:59:31 > Step:   70700 Progress: 70.7% Elapsed: 1 day, 1:13:11 temperature: no ada_p: No Discriminator_loss: 1.84833 Generator_loss: 0.352129 
[INFO] 2020-09-18 15:01:26 > Step:   70800 Progress: 70.8% Elapsed: 1 day, 1:15:06 temperature: no ada_p: No Discriminator_loss: 1.78981 Generator_loss: 0.462809 
[INFO] 2020-09-18 15:03:21 > Step:   70900 Progress: 70.9% Elapsed: 1 day, 1:17:01 temperature: no ada_p: No Discriminator_loss: 1.61625 Generator_loss: 0.487687 
[INFO] 2020-09-18 15:05:16 > Step:   71000 Progress: 71.0% Elapsed: 1 day, 1:18:56 temperature: no ada_p: No Discriminator_loss: 1.69643 Generator_loss: 0.463994 
[INFO] 2020-09-18 15:07:11 > Step:   71100 Progress: 71.1% Elapsed: 1 day, 1:20:52 temperature: no ada_p: No Discriminator_loss: 1.53188 Generator_loss: 0.32257 
[INFO] 2020-09-18 15:09:07 > Step:   71200 Progress: 71.2% Elapsed: 1 day, 1:22:47 temperature: no ada_p: No Discriminator_loss: 1.85581 Generator_loss: 0.500968 
[INFO] 2020-09-18 15:11:03 > Step:   71300 Progress: 71.3% Elapsed: 1 day, 1:24:43 temperature: no ada_p: No Discriminator_loss: 1.83144 Generator_loss: 0.646789 
[INFO] 2020-09-18 15:12:59 > Step:   71400 Progress: 71.4% Elapsed: 1 day, 1:26:39 temperature: no ada_p: No Discriminator_loss: 1.65777 Generator_loss: 0.490329 
[INFO] 2020-09-18 15:14:53 > Step:   71500 Progress: 71.5% Elapsed: 1 day, 1:28:34 temperature: no ada_p: No Discriminator_loss: 1.7766 Generator_loss: 0.626119 
[INFO] 2020-09-18 15:16:49 > Step:   71600 Progress: 71.6% Elapsed: 1 day, 1:30:29 temperature: no ada_p: No Discriminator_loss: 1.70817 Generator_loss: 0.519678 
[INFO] 2020-09-18 15:18:44 > Step:   71700 Progress: 71.7% Elapsed: 1 day, 1:32:24 temperature: no ada_p: No Discriminator_loss: 1.72294 Generator_loss: 0.304623 
[INFO] 2020-09-18 15:20:39 > Step:   71800 Progress: 71.8% Elapsed: 1 day, 1:34:19 temperature: no ada_p: No Discriminator_loss: 1.71765 Generator_loss: 0.345507 
[INFO] 2020-09-18 15:22:35 > Step:   71900 Progress: 71.9% Elapsed: 1 day, 1:36:15 temperature: no ada_p: No Discriminator_loss: 1.67265 Generator_loss: 0.397494 
[INFO] 2020-09-18 15:24:31 > Step:   72000 Progress: 72.0% Elapsed: 1 day, 1:38:11 temperature: no ada_p: No Discriminator_loss: 1.64956 Generator_loss: 0.610224 
[INFO] 2020-09-18 15:24:31 > Start Evaluation (72000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 15:26:34 > F_8 score (Step: 72000, Using test images): 0.9946647531131191
[INFO] 2020-09-18 15:26:34 > F_1/8 score (Step: 72000, Using test images): 0.9948244948039592
[INFO] 2020-09-18 15:26:34 > FID score (Step: 72000, Using test moments): 7.653514722230398
[INFO] 2020-09-18 15:26:34 > Inception score (Step: 72000, 10000 generated images): 10.101972579956055
[INFO] 2020-09-18 15:26:34 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 15:26:36 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 15:28:32 > Step:   72100 Progress: 72.1% Elapsed: 1 day, 1:42:12 temperature: no ada_p: No Discriminator_loss: 1.65531 Generator_loss: 0.476409 
[INFO] 2020-09-18 15:30:28 > Step:   72200 Progress: 72.2% Elapsed: 1 day, 1:44:08 temperature: no ada_p: No Discriminator_loss: 1.82626 Generator_loss: 0.431134 
[INFO] 2020-09-18 15:32:23 > Step:   72300 Progress: 72.3% Elapsed: 1 day, 1:46:04 temperature: no ada_p: No Discriminator_loss: 1.73832 Generator_loss: 0.453049 
[INFO] 2020-09-18 15:34:19 > Step:   72400 Progress: 72.4% Elapsed: 1 day, 1:48:00 temperature: no ada_p: No Discriminator_loss: 1.72896 Generator_loss: 0.628634 
[INFO] 2020-09-18 15:36:15 > Step:   72500 Progress: 72.5% Elapsed: 1 day, 1:49:55 temperature: no ada_p: No Discriminator_loss: 1.67848 Generator_loss: 0.510562 
[INFO] 2020-09-18 15:38:10 > Step:   72600 Progress: 72.6% Elapsed: 1 day, 1:51:50 temperature: no ada_p: No Discriminator_loss: 1.70995 Generator_loss: 0.500423 
[INFO] 2020-09-18 15:40:06 > Step:   72700 Progress: 72.7% Elapsed: 1 day, 1:53:46 temperature: no ada_p: No Discriminator_loss: 1.6081 Generator_loss: 0.445218 
[INFO] 2020-09-18 15:42:02 > Step:   72800 Progress: 72.8% Elapsed: 1 day, 1:55:42 temperature: no ada_p: No Discriminator_loss: 1.8962 Generator_loss: 0.406366 
[INFO] 2020-09-18 15:43:57 > Step:   72900 Progress: 72.9% Elapsed: 1 day, 1:57:37 temperature: no ada_p: No Discriminator_loss: 1.65543 Generator_loss: 0.406543 
[INFO] 2020-09-18 15:45:52 > Step:   73000 Progress: 73.0% Elapsed: 1 day, 1:59:32 temperature: no ada_p: No Discriminator_loss: 1.61067 Generator_loss: 0.399089 
[INFO] 2020-09-18 15:47:47 > Step:   73100 Progress: 73.1% Elapsed: 1 day, 2:01:27 temperature: no ada_p: No Discriminator_loss: 1.75073 Generator_loss: 0.595217 
[INFO] 2020-09-18 15:49:43 > Step:   73200 Progress: 73.2% Elapsed: 1 day, 2:03:23 temperature: no ada_p: No Discriminator_loss: 1.75436 Generator_loss: 0.554366 
[INFO] 2020-09-18 15:51:39 > Step:   73300 Progress: 73.3% Elapsed: 1 day, 2:05:19 temperature: no ada_p: No Discriminator_loss: 1.72945 Generator_loss: 0.528356 
[INFO] 2020-09-18 15:53:34 > Step:   73400 Progress: 73.4% Elapsed: 1 day, 2:07:14 temperature: no ada_p: No Discriminator_loss: 1.77221 Generator_loss: 0.469704 
[INFO] 2020-09-18 15:55:29 > Step:   73500 Progress: 73.5% Elapsed: 1 day, 2:09:10 temperature: no ada_p: No Discriminator_loss: 1.76306 Generator_loss: 0.291083 
[INFO] 2020-09-18 15:57:24 > Step:   73600 Progress: 73.6% Elapsed: 1 day, 2:11:05 temperature: no ada_p: No Discriminator_loss: 1.68271 Generator_loss: 0.575712 
[INFO] 2020-09-18 15:59:19 > Step:   73700 Progress: 73.7% Elapsed: 1 day, 2:12:59 temperature: no ada_p: No Discriminator_loss: 1.68395 Generator_loss: 0.419861 
[INFO] 2020-09-18 16:01:14 > Step:   73800 Progress: 73.8% Elapsed: 1 day, 2:14:54 temperature: no ada_p: No Discriminator_loss: 1.83334 Generator_loss: 0.421729 
[INFO] 2020-09-18 16:03:10 > Step:   73900 Progress: 73.9% Elapsed: 1 day, 2:16:50 temperature: no ada_p: No Discriminator_loss: 1.68958 Generator_loss: 0.469099 
[INFO] 2020-09-18 16:05:05 > Step:   74000 Progress: 74.0% Elapsed: 1 day, 2:18:46 temperature: no ada_p: No Discriminator_loss: 1.73254 Generator_loss: 0.529371 
[INFO] 2020-09-18 16:05:05 > Start Evaluation (74000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 16:07:09 > F_8 score (Step: 74000, Using test images): 0.9932320493822977
[INFO] 2020-09-18 16:07:09 > F_1/8 score (Step: 74000, Using test images): 0.9947840921786247
[INFO] 2020-09-18 16:07:09 > FID score (Step: 74000, Using test moments): 7.610155678244837
[INFO] 2020-09-18 16:07:09 > Inception score (Step: 74000, 10000 generated images): 10.079726219177246
[INFO] 2020-09-18 16:07:09 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 16:07:11 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 16:09:07 > Step:   74100 Progress: 74.1% Elapsed: 1 day, 2:22:47 temperature: no ada_p: No Discriminator_loss: 1.75459 Generator_loss: 0.492574 
[INFO] 2020-09-18 16:11:03 > Step:   74200 Progress: 74.2% Elapsed: 1 day, 2:24:43 temperature: no ada_p: No Discriminator_loss: 1.66609 Generator_loss: 0.523152 
[INFO] 2020-09-18 16:12:58 > Step:   74300 Progress: 74.3% Elapsed: 1 day, 2:26:38 temperature: no ada_p: No Discriminator_loss: 1.75008 Generator_loss: 0.609003 
[INFO] 2020-09-18 16:14:54 > Step:   74400 Progress: 74.4% Elapsed: 1 day, 2:28:34 temperature: no ada_p: No Discriminator_loss: 1.76209 Generator_loss: 0.356216 
[INFO] 2020-09-18 16:16:49 > Step:   74500 Progress: 74.5% Elapsed: 1 day, 2:30:29 temperature: no ada_p: No Discriminator_loss: 1.82414 Generator_loss: 0.427435 
[INFO] 2020-09-18 16:18:45 > Step:   74600 Progress: 74.6% Elapsed: 1 day, 2:32:25 temperature: no ada_p: No Discriminator_loss: 1.79449 Generator_loss: 0.587458 
[INFO] 2020-09-18 16:20:40 > Step:   74700 Progress: 74.7% Elapsed: 1 day, 2:34:21 temperature: no ada_p: No Discriminator_loss: 1.71629 Generator_loss: 0.457743 
[INFO] 2020-09-18 16:22:36 > Step:   74800 Progress: 74.8% Elapsed: 1 day, 2:36:16 temperature: no ada_p: No Discriminator_loss: 1.68995 Generator_loss: 0.254962 
[INFO] 2020-09-18 16:24:31 > Step:   74900 Progress: 74.9% Elapsed: 1 day, 2:38:11 temperature: no ada_p: No Discriminator_loss: 1.69866 Generator_loss: 0.383935 
[INFO] 2020-09-18 16:26:27 > Step:   75000 Progress: 75.0% Elapsed: 1 day, 2:40:07 temperature: no ada_p: No Discriminator_loss: 1.65338 Generator_loss: 0.328198 
[INFO] 2020-09-18 16:28:22 > Step:   75100 Progress: 75.1% Elapsed: 1 day, 2:42:02 temperature: no ada_p: No Discriminator_loss: 1.86858 Generator_loss: 0.444905 
[INFO] 2020-09-18 16:30:18 > Step:   75200 Progress: 75.2% Elapsed: 1 day, 2:43:59 temperature: no ada_p: No Discriminator_loss: 1.77312 Generator_loss: 0.416745 
[INFO] 2020-09-18 16:32:14 > Step:   75300 Progress: 75.3% Elapsed: 1 day, 2:45:54 temperature: no ada_p: No Discriminator_loss: 1.72851 Generator_loss: 0.394348 
[INFO] 2020-09-18 16:34:09 > Step:   75400 Progress: 75.4% Elapsed: 1 day, 2:47:49 temperature: no ada_p: No Discriminator_loss: 1.73719 Generator_loss: 0.523061 
[INFO] 2020-09-18 16:36:04 > Step:   75500 Progress: 75.5% Elapsed: 1 day, 2:49:44 temperature: no ada_p: No Discriminator_loss: 1.65879 Generator_loss: 0.388344 
[INFO] 2020-09-18 16:37:59 > Step:   75600 Progress: 75.6% Elapsed: 1 day, 2:51:39 temperature: no ada_p: No Discriminator_loss: 1.73315 Generator_loss: 0.480395 
[INFO] 2020-09-18 16:39:54 > Step:   75700 Progress: 75.7% Elapsed: 1 day, 2:53:34 temperature: no ada_p: No Discriminator_loss: 1.68034 Generator_loss: 0.432427 
[INFO] 2020-09-18 16:41:49 > Step:   75800 Progress: 75.8% Elapsed: 1 day, 2:55:30 temperature: no ada_p: No Discriminator_loss: 1.69203 Generator_loss: 0.188497 
[INFO] 2020-09-18 16:43:44 > Step:   75900 Progress: 75.9% Elapsed: 1 day, 2:57:25 temperature: no ada_p: No Discriminator_loss: 1.77906 Generator_loss: 0.471839 
[INFO] 2020-09-18 16:45:40 > Step:   76000 Progress: 76.0% Elapsed: 1 day, 2:59:20 temperature: no ada_p: No Discriminator_loss: 1.73883 Generator_loss: 0.340701 
[INFO] 2020-09-18 16:45:40 > Start Evaluation (76000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 16:47:44 > F_8 score (Step: 76000, Using test images): 0.9918781251314278
[INFO] 2020-09-18 16:47:44 > F_1/8 score (Step: 76000, Using test images): 0.9947556779524095
[INFO] 2020-09-18 16:47:44 > FID score (Step: 76000, Using test moments): 7.618027393377702
[INFO] 2020-09-18 16:47:44 > Inception score (Step: 76000, 10000 generated images): 10.09929084777832
[INFO] 2020-09-18 16:47:44 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 16:47:46 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 16:49:42 > Step:   76100 Progress: 76.1% Elapsed: 1 day, 3:03:22 temperature: no ada_p: No Discriminator_loss: 1.67041 Generator_loss: 0.335337 
[INFO] 2020-09-18 16:51:38 > Step:   76200 Progress: 76.2% Elapsed: 1 day, 3:05:18 temperature: no ada_p: No Discriminator_loss: 1.70409 Generator_loss: 0.485234 
[INFO] 2020-09-18 16:53:34 > Step:   76300 Progress: 76.3% Elapsed: 1 day, 3:07:14 temperature: no ada_p: No Discriminator_loss: 1.72049 Generator_loss: 0.602706 
[INFO] 2020-09-18 16:55:29 > Step:   76400 Progress: 76.4% Elapsed: 1 day, 3:09:10 temperature: no ada_p: No Discriminator_loss: 1.67835 Generator_loss: 0.590704 
[INFO] 2020-09-18 16:57:25 > Step:   76500 Progress: 76.5% Elapsed: 1 day, 3:11:05 temperature: no ada_p: No Discriminator_loss: 1.82794 Generator_loss: 0.50897 
[INFO] 2020-09-18 16:59:20 > Step:   76600 Progress: 76.6% Elapsed: 1 day, 3:13:00 temperature: no ada_p: No Discriminator_loss: 1.78422 Generator_loss: 0.626365 
[INFO] 2020-09-18 17:01:15 > Step:   76700 Progress: 76.7% Elapsed: 1 day, 3:14:55 temperature: no ada_p: No Discriminator_loss: 1.63721 Generator_loss: 0.420272 
[INFO] 2020-09-18 17:03:10 > Step:   76800 Progress: 76.8% Elapsed: 1 day, 3:16:50 temperature: no ada_p: No Discriminator_loss: 1.7793 Generator_loss: 0.497749 
[INFO] 2020-09-18 17:05:06 > Step:   76900 Progress: 76.9% Elapsed: 1 day, 3:18:46 temperature: no ada_p: No Discriminator_loss: 1.68778 Generator_loss: 0.579917 
[INFO] 2020-09-18 17:07:01 > Step:   77000 Progress: 77.0% Elapsed: 1 day, 3:20:41 temperature: no ada_p: No Discriminator_loss: 1.68205 Generator_loss: 0.415197 
[INFO] 2020-09-18 17:08:56 > Step:   77100 Progress: 77.1% Elapsed: 1 day, 3:22:36 temperature: no ada_p: No Discriminator_loss: 1.76075 Generator_loss: 0.387579 
[INFO] 2020-09-18 17:10:51 > Step:   77200 Progress: 77.2% Elapsed: 1 day, 3:24:32 temperature: no ada_p: No Discriminator_loss: 1.65805 Generator_loss: 0.415276 
[INFO] 2020-09-18 17:12:47 > Step:   77300 Progress: 77.3% Elapsed: 1 day, 3:26:27 temperature: no ada_p: No Discriminator_loss: 1.79138 Generator_loss: 0.400431 
[INFO] 2020-09-18 17:14:43 > Step:   77400 Progress: 77.4% Elapsed: 1 day, 3:28:23 temperature: no ada_p: No Discriminator_loss: 1.75176 Generator_loss: 0.43039 
[INFO] 2020-09-18 17:16:38 > Step:   77500 Progress: 77.5% Elapsed: 1 day, 3:30:18 temperature: no ada_p: No Discriminator_loss: 1.79116 Generator_loss: 0.396576 
[INFO] 2020-09-18 17:18:33 > Step:   77600 Progress: 77.6% Elapsed: 1 day, 3:32:13 temperature: no ada_p: No Discriminator_loss: 1.75602 Generator_loss: 0.630243 
[INFO] 2020-09-18 17:20:28 > Step:   77700 Progress: 77.7% Elapsed: 1 day, 3:34:08 temperature: no ada_p: No Discriminator_loss: 1.79339 Generator_loss: 0.662328 
[INFO] 2020-09-18 17:22:24 > Step:   77800 Progress: 77.8% Elapsed: 1 day, 3:36:04 temperature: no ada_p: No Discriminator_loss: 1.69562 Generator_loss: 0.358171 
[INFO] 2020-09-18 17:24:19 > Step:   77900 Progress: 77.9% Elapsed: 1 day, 3:37:59 temperature: no ada_p: No Discriminator_loss: 1.67366 Generator_loss: 0.41499 
[INFO] 2020-09-18 17:26:14 > Step:   78000 Progress: 78.0% Elapsed: 1 day, 3:39:54 temperature: no ada_p: No Discriminator_loss: 1.8314 Generator_loss: 0.58172 
[INFO] 2020-09-18 17:26:14 > Start Evaluation (78000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 17:28:16 > F_8 score (Step: 78000, Using test images): 0.99346458749969
[INFO] 2020-09-18 17:28:16 > F_1/8 score (Step: 78000, Using test images): 0.9948987675973356
[INFO] 2020-09-18 17:28:17 > FID score (Step: 78000, Using test moments): 7.7017435682704445
[INFO] 2020-09-18 17:28:17 > Inception score (Step: 78000, 10000 generated images): 9.99786376953125
[INFO] 2020-09-18 17:28:17 > Best FID score (Step: 68000, Using test moments): 7.608433867255542
[INFO] 2020-09-18 17:28:19 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 17:30:14 > Step:   78100 Progress: 78.1% Elapsed: 1 day, 3:43:54 temperature: no ada_p: No Discriminator_loss: 1.69704 Generator_loss: 0.496236 
[INFO] 2020-09-18 17:32:10 > Step:   78200 Progress: 78.2% Elapsed: 1 day, 3:45:50 temperature: no ada_p: No Discriminator_loss: 1.79446 Generator_loss: 0.501012 
[INFO] 2020-09-18 17:34:06 > Step:   78300 Progress: 78.3% Elapsed: 1 day, 3:47:46 temperature: no ada_p: No Discriminator_loss: 1.62758 Generator_loss: 0.358496 
[INFO] 2020-09-18 17:36:00 > Step:   78400 Progress: 78.4% Elapsed: 1 day, 3:49:40 temperature: no ada_p: No Discriminator_loss: 1.69663 Generator_loss: 0.487885 
[INFO] 2020-09-18 17:37:56 > Step:   78500 Progress: 78.5% Elapsed: 1 day, 3:51:37 temperature: no ada_p: No Discriminator_loss: 1.82852 Generator_loss: 0.294292 
[INFO] 2020-09-18 17:39:52 > Step:   78600 Progress: 78.6% Elapsed: 1 day, 3:53:32 temperature: no ada_p: No Discriminator_loss: 1.77562 Generator_loss: 0.614964 
[INFO] 2020-09-18 17:41:47 > Step:   78700 Progress: 78.7% Elapsed: 1 day, 3:55:27 temperature: no ada_p: No Discriminator_loss: 1.71214 Generator_loss: 0.498971 
[INFO] 2020-09-18 17:43:43 > Step:   78800 Progress: 78.8% Elapsed: 1 day, 3:57:23 temperature: no ada_p: No Discriminator_loss: 1.77291 Generator_loss: 0.466795 
[INFO] 2020-09-18 17:45:38 > Step:   78900 Progress: 78.9% Elapsed: 1 day, 3:59:18 temperature: no ada_p: No Discriminator_loss: 1.82235 Generator_loss: 0.472528 
[INFO] 2020-09-18 17:47:33 > Step:   79000 Progress: 79.0% Elapsed: 1 day, 4:01:13 temperature: no ada_p: No Discriminator_loss: 1.64905 Generator_loss: 0.269126 
[INFO] 2020-09-18 17:49:29 > Step:   79100 Progress: 79.1% Elapsed: 1 day, 4:03:09 temperature: no ada_p: No Discriminator_loss: 1.63546 Generator_loss: 0.399183 
[INFO] 2020-09-18 17:51:24 > Step:   79200 Progress: 79.2% Elapsed: 1 day, 4:05:04 temperature: no ada_p: No Discriminator_loss: 1.59935 Generator_loss: 0.362793 
[INFO] 2020-09-18 17:53:19 > Step:   79300 Progress: 79.3% Elapsed: 1 day, 4:06:59 temperature: no ada_p: No Discriminator_loss: 1.82522 Generator_loss: 0.458316 
[INFO] 2020-09-18 17:55:14 > Step:   79400 Progress: 79.4% Elapsed: 1 day, 4:08:54 temperature: no ada_p: No Discriminator_loss: 1.72262 Generator_loss: 0.657576 
[INFO] 2020-09-18 17:57:09 > Step:   79500 Progress: 79.5% Elapsed: 1 day, 4:10:49 temperature: no ada_p: No Discriminator_loss: 1.75074 Generator_loss: 0.427205 
[INFO] 2020-09-18 17:59:04 > Step:   79600 Progress: 79.6% Elapsed: 1 day, 4:12:45 temperature: no ada_p: No Discriminator_loss: 1.63818 Generator_loss: 0.637736 
[INFO] 2020-09-18 18:01:00 > Step:   79700 Progress: 79.7% Elapsed: 1 day, 4:14:40 temperature: no ada_p: No Discriminator_loss: 1.7867 Generator_loss: 0.283057 
[INFO] 2020-09-18 18:02:55 > Step:   79800 Progress: 79.8% Elapsed: 1 day, 4:16:35 temperature: no ada_p: No Discriminator_loss: 1.86568 Generator_loss: 0.507897 
[INFO] 2020-09-18 18:04:50 > Step:   79900 Progress: 79.9% Elapsed: 1 day, 4:18:30 temperature: no ada_p: No Discriminator_loss: 1.8487 Generator_loss: 0.427004 
[INFO] 2020-09-18 18:06:45 > Step:   80000 Progress: 80.0% Elapsed: 1 day, 4:20:25 temperature: no ada_p: No Discriminator_loss: 1.73689 Generator_loss: 0.404568 
[INFO] 2020-09-18 18:06:45 > Start Evaluation (80000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 18:08:47 > F_8 score (Step: 80000, Using test images): 0.9932966798231525
[INFO] 2020-09-18 18:08:47 > F_1/8 score (Step: 80000, Using test images): 0.9941620079916116
[INFO] 2020-09-18 18:08:47 > FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 18:08:47 > Inception score (Step: 80000, 10000 generated images): 10.153002738952637
[INFO] 2020-09-18 18:08:47 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 18:08:52 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 18:10:47 > Step:   80100 Progress: 80.1% Elapsed: 1 day, 4:24:27 temperature: no ada_p: No Discriminator_loss: 1.72564 Generator_loss: 0.518015 
[INFO] 2020-09-18 18:12:43 > Step:   80200 Progress: 80.2% Elapsed: 1 day, 4:26:23 temperature: no ada_p: No Discriminator_loss: 1.81504 Generator_loss: 0.553292 
[INFO] 2020-09-18 18:14:38 > Step:   80300 Progress: 80.3% Elapsed: 1 day, 4:28:19 temperature: no ada_p: No Discriminator_loss: 1.65509 Generator_loss: 0.541275 
[INFO] 2020-09-18 18:16:34 > Step:   80400 Progress: 80.4% Elapsed: 1 day, 4:30:14 temperature: no ada_p: No Discriminator_loss: 1.59468 Generator_loss: 0.554815 
[INFO] 2020-09-18 18:18:29 > Step:   80500 Progress: 80.5% Elapsed: 1 day, 4:32:09 temperature: no ada_p: No Discriminator_loss: 1.73227 Generator_loss: 0.532068 
[INFO] 2020-09-18 18:20:24 > Step:   80600 Progress: 80.6% Elapsed: 1 day, 4:34:04 temperature: no ada_p: No Discriminator_loss: 1.74354 Generator_loss: 0.485649 
[INFO] 2020-09-18 18:22:19 > Step:   80700 Progress: 80.7% Elapsed: 1 day, 4:35:59 temperature: no ada_p: No Discriminator_loss: 1.77375 Generator_loss: 0.313045 
[INFO] 2020-09-18 18:24:15 > Step:   80800 Progress: 80.8% Elapsed: 1 day, 4:37:55 temperature: no ada_p: No Discriminator_loss: 1.69241 Generator_loss: 0.265369 
[INFO] 2020-09-18 18:26:10 > Step:   80900 Progress: 80.9% Elapsed: 1 day, 4:39:50 temperature: no ada_p: No Discriminator_loss: 1.68715 Generator_loss: 0.375486 
[INFO] 2020-09-18 18:28:05 > Step:   81000 Progress: 81.0% Elapsed: 1 day, 4:41:45 temperature: no ada_p: No Discriminator_loss: 1.72131 Generator_loss: 0.452591 
[INFO] 2020-09-18 18:30:00 > Step:   81100 Progress: 81.1% Elapsed: 1 day, 4:43:40 temperature: no ada_p: No Discriminator_loss: 1.76269 Generator_loss: 0.464877 
[INFO] 2020-09-18 18:31:55 > Step:   81200 Progress: 81.2% Elapsed: 1 day, 4:45:35 temperature: no ada_p: No Discriminator_loss: 1.7399 Generator_loss: 0.732518 
[INFO] 2020-09-18 18:33:51 > Step:   81300 Progress: 81.3% Elapsed: 1 day, 4:47:31 temperature: no ada_p: No Discriminator_loss: 1.7404 Generator_loss: 0.532742 
[INFO] 2020-09-18 18:35:46 > Step:   81400 Progress: 81.4% Elapsed: 1 day, 4:49:26 temperature: no ada_p: No Discriminator_loss: 1.69438 Generator_loss: 0.500713 
[INFO] 2020-09-18 18:37:41 > Step:   81500 Progress: 81.5% Elapsed: 1 day, 4:51:21 temperature: no ada_p: No Discriminator_loss: 1.6337 Generator_loss: 0.430061 
[INFO] 2020-09-18 18:39:36 > Step:   81600 Progress: 81.6% Elapsed: 1 day, 4:53:16 temperature: no ada_p: No Discriminator_loss: 1.79275 Generator_loss: 0.48039 
[INFO] 2020-09-18 18:41:31 > Step:   81700 Progress: 81.7% Elapsed: 1 day, 4:55:11 temperature: no ada_p: No Discriminator_loss: 1.71387 Generator_loss: 0.456148 
[INFO] 2020-09-18 18:43:26 > Step:   81800 Progress: 81.8% Elapsed: 1 day, 4:57:07 temperature: no ada_p: No Discriminator_loss: 1.68919 Generator_loss: 0.426223 
[INFO] 2020-09-18 18:45:22 > Step:   81900 Progress: 81.9% Elapsed: 1 day, 4:59:02 temperature: no ada_p: No Discriminator_loss: 1.76278 Generator_loss: 0.544955 
[INFO] 2020-09-18 18:47:16 > Step:   82000 Progress: 82.0% Elapsed: 1 day, 5:00:56 temperature: no ada_p: No Discriminator_loss: 1.82255 Generator_loss: 0.46465 
[INFO] 2020-09-18 18:47:16 > Start Evaluation (82000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 18:49:18 > F_8 score (Step: 82000, Using test images): 0.9933034612008526
[INFO] 2020-09-18 18:49:18 > F_1/8 score (Step: 82000, Using test images): 0.9939053002824347
[INFO] 2020-09-18 18:49:18 > FID score (Step: 82000, Using test moments): 7.7485910798135365
[INFO] 2020-09-18 18:49:18 > Inception score (Step: 82000, 10000 generated images): 10.134466171264648
[INFO] 2020-09-18 18:49:18 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 18:49:20 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 18:51:16 > Step:   82100 Progress: 82.1% Elapsed: 1 day, 5:04:56 temperature: no ada_p: No Discriminator_loss: 1.62002 Generator_loss: 0.303589 
[INFO] 2020-09-18 18:53:12 > Step:   82200 Progress: 82.2% Elapsed: 1 day, 5:06:52 temperature: no ada_p: No Discriminator_loss: 1.68648 Generator_loss: 0.444317 
[INFO] 2020-09-18 18:55:07 > Step:   82300 Progress: 82.3% Elapsed: 1 day, 5:08:47 temperature: no ada_p: No Discriminator_loss: 1.62873 Generator_loss: 0.514418 
[INFO] 2020-09-18 18:57:03 > Step:   82400 Progress: 82.4% Elapsed: 1 day, 5:10:43 temperature: no ada_p: No Discriminator_loss: 1.76538 Generator_loss: 0.411177 
[INFO] 2020-09-18 18:58:58 > Step:   82500 Progress: 82.5% Elapsed: 1 day, 5:12:38 temperature: no ada_p: No Discriminator_loss: 1.847 Generator_loss: 0.532411 
[INFO] 2020-09-18 19:00:52 > Step:   82600 Progress: 82.6% Elapsed: 1 day, 5:14:32 temperature: no ada_p: No Discriminator_loss: 1.72144 Generator_loss: 0.399572 
[INFO] 2020-09-18 19:02:47 > Step:   82700 Progress: 82.7% Elapsed: 1 day, 5:16:28 temperature: no ada_p: No Discriminator_loss: 1.6799 Generator_loss: 0.285762 
[INFO] 2020-09-18 19:04:43 > Step:   82800 Progress: 82.8% Elapsed: 1 day, 5:18:23 temperature: no ada_p: No Discriminator_loss: 1.69193 Generator_loss: 0.448713 
[INFO] 2020-09-18 19:06:38 > Step:   82900 Progress: 82.9% Elapsed: 1 day, 5:20:18 temperature: no ada_p: No Discriminator_loss: 1.68328 Generator_loss: 0.491466 
[INFO] 2020-09-18 19:08:33 > Step:   83000 Progress: 83.0% Elapsed: 1 day, 5:22:13 temperature: no ada_p: No Discriminator_loss: 1.73128 Generator_loss: 0.305584 
[INFO] 2020-09-18 19:10:28 > Step:   83100 Progress: 83.1% Elapsed: 1 day, 5:24:08 temperature: no ada_p: No Discriminator_loss: 1.76233 Generator_loss: 0.601075 
[INFO] 2020-09-18 19:12:23 > Step:   83200 Progress: 83.2% Elapsed: 1 day, 5:26:03 temperature: no ada_p: No Discriminator_loss: 1.75948 Generator_loss: 0.558813 
[INFO] 2020-09-18 19:14:19 > Step:   83300 Progress: 83.3% Elapsed: 1 day, 5:27:59 temperature: no ada_p: No Discriminator_loss: 1.7087 Generator_loss: 0.456435 
[INFO] 2020-09-18 19:16:14 > Step:   83400 Progress: 83.4% Elapsed: 1 day, 5:29:54 temperature: no ada_p: No Discriminator_loss: 1.62191 Generator_loss: 0.500879 
[INFO] 2020-09-18 19:18:09 > Step:   83500 Progress: 83.5% Elapsed: 1 day, 5:31:49 temperature: no ada_p: No Discriminator_loss: 1.71404 Generator_loss: 0.351892 
[INFO] 2020-09-18 19:20:05 > Step:   83600 Progress: 83.6% Elapsed: 1 day, 5:33:45 temperature: no ada_p: No Discriminator_loss: 1.76001 Generator_loss: 0.761169 
[INFO] 2020-09-18 19:22:01 > Step:   83700 Progress: 83.7% Elapsed: 1 day, 5:35:41 temperature: no ada_p: No Discriminator_loss: 1.80827 Generator_loss: 0.433545 
[INFO] 2020-09-18 19:23:56 > Step:   83800 Progress: 83.8% Elapsed: 1 day, 5:37:36 temperature: no ada_p: No Discriminator_loss: 1.74563 Generator_loss: 0.42764 
[INFO] 2020-09-18 19:25:52 > Step:   83900 Progress: 83.9% Elapsed: 1 day, 5:39:32 temperature: no ada_p: No Discriminator_loss: 1.71892 Generator_loss: 0.514344 
[INFO] 2020-09-18 19:27:47 > Step:   84000 Progress: 84.0% Elapsed: 1 day, 5:41:27 temperature: no ada_p: No Discriminator_loss: 1.80502 Generator_loss: 0.492505 
[INFO] 2020-09-18 19:27:47 > Start Evaluation (84000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 19:29:49 > F_8 score (Step: 84000, Using test images): 0.9913151169100921
[INFO] 2020-09-18 19:29:49 > F_1/8 score (Step: 84000, Using test images): 0.9935057660394492
[INFO] 2020-09-18 19:29:49 > FID score (Step: 84000, Using test moments): 7.6114281311955665
[INFO] 2020-09-18 19:29:49 > Inception score (Step: 84000, 10000 generated images): 10.18761920928955
[INFO] 2020-09-18 19:29:49 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 19:29:51 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 19:31:46 > Step:   84100 Progress: 84.1% Elapsed: 1 day, 5:45:27 temperature: no ada_p: No Discriminator_loss: 1.75996 Generator_loss: 0.597522 
[INFO] 2020-09-18 19:33:42 > Step:   84200 Progress: 84.2% Elapsed: 1 day, 5:47:23 temperature: no ada_p: No Discriminator_loss: 1.74913 Generator_loss: 0.45171 
[INFO] 2020-09-18 19:35:38 > Step:   84300 Progress: 84.3% Elapsed: 1 day, 5:49:18 temperature: no ada_p: No Discriminator_loss: 1.74463 Generator_loss: 0.373346 
[INFO] 2020-09-18 19:37:33 > Step:   84400 Progress: 84.4% Elapsed: 1 day, 5:51:13 temperature: no ada_p: No Discriminator_loss: 1.87617 Generator_loss: 0.434619 
[INFO] 2020-09-18 19:39:28 > Step:   84500 Progress: 84.5% Elapsed: 1 day, 5:53:08 temperature: no ada_p: No Discriminator_loss: 1.76263 Generator_loss: 0.45342 
[INFO] 2020-09-18 19:41:24 > Step:   84600 Progress: 84.6% Elapsed: 1 day, 5:55:04 temperature: no ada_p: No Discriminator_loss: 1.71803 Generator_loss: 0.406954 
[INFO] 2020-09-18 19:43:20 > Step:   84700 Progress: 84.7% Elapsed: 1 day, 5:57:00 temperature: no ada_p: No Discriminator_loss: 1.7302 Generator_loss: 0.480076 
[INFO] 2020-09-18 19:45:15 > Step:   84800 Progress: 84.8% Elapsed: 1 day, 5:58:55 temperature: no ada_p: No Discriminator_loss: 1.8437 Generator_loss: 0.602153 
[INFO] 2020-09-18 19:47:11 > Step:   84900 Progress: 84.9% Elapsed: 1 day, 6:00:51 temperature: no ada_p: No Discriminator_loss: 1.85437 Generator_loss: 0.456294 
[INFO] 2020-09-18 19:49:06 > Step:   85000 Progress: 85.0% Elapsed: 1 day, 6:02:46 temperature: no ada_p: No Discriminator_loss: 1.72762 Generator_loss: 0.41964 
[INFO] 2020-09-18 19:51:01 > Step:   85100 Progress: 85.1% Elapsed: 1 day, 6:04:42 temperature: no ada_p: No Discriminator_loss: 1.82456 Generator_loss: 0.44362 
[INFO] 2020-09-18 19:52:57 > Step:   85200 Progress: 85.2% Elapsed: 1 day, 6:06:38 temperature: no ada_p: No Discriminator_loss: 1.82603 Generator_loss: 0.424139 
[INFO] 2020-09-18 19:54:53 > Step:   85300 Progress: 85.3% Elapsed: 1 day, 6:08:33 temperature: no ada_p: No Discriminator_loss: 1.83157 Generator_loss: 0.54432 
[INFO] 2020-09-18 19:56:48 > Step:   85400 Progress: 85.4% Elapsed: 1 day, 6:10:28 temperature: no ada_p: No Discriminator_loss: 1.72859 Generator_loss: 0.521303 
[INFO] 2020-09-18 19:58:44 > Step:   85500 Progress: 85.5% Elapsed: 1 day, 6:12:24 temperature: no ada_p: No Discriminator_loss: 1.67433 Generator_loss: 0.378682 
[INFO] 2020-09-18 20:00:39 > Step:   85600 Progress: 85.6% Elapsed: 1 day, 6:14:20 temperature: no ada_p: No Discriminator_loss: 1.75961 Generator_loss: 0.44371 
[INFO] 2020-09-18 20:02:34 > Step:   85700 Progress: 85.7% Elapsed: 1 day, 6:16:15 temperature: no ada_p: No Discriminator_loss: 1.69868 Generator_loss: 0.636007 
[INFO] 2020-09-18 20:04:31 > Step:   85800 Progress: 85.8% Elapsed: 1 day, 6:18:11 temperature: no ada_p: No Discriminator_loss: 1.67796 Generator_loss: 0.516572 
[INFO] 2020-09-18 20:06:26 > Step:   85900 Progress: 85.9% Elapsed: 1 day, 6:20:06 temperature: no ada_p: No Discriminator_loss: 1.76385 Generator_loss: 0.254091 
[INFO] 2020-09-18 20:08:21 > Step:   86000 Progress: 86.0% Elapsed: 1 day, 6:22:02 temperature: no ada_p: No Discriminator_loss: 1.82089 Generator_loss: 0.557255 
[INFO] 2020-09-18 20:08:22 > Start Evaluation (86000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 20:10:24 > F_8 score (Step: 86000, Using test images): 0.9902759647928727
[INFO] 2020-09-18 20:10:24 > F_1/8 score (Step: 86000, Using test images): 0.9944072284994125
[INFO] 2020-09-18 20:10:24 > FID score (Step: 86000, Using test moments): 7.5833663716746855
[INFO] 2020-09-18 20:10:24 > Inception score (Step: 86000, 10000 generated images): 10.120037078857422
[INFO] 2020-09-18 20:10:24 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 20:10:26 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 20:12:22 > Step:   86100 Progress: 86.1% Elapsed: 1 day, 6:26:02 temperature: no ada_p: No Discriminator_loss: 1.81049 Generator_loss: 0.402079 
[INFO] 2020-09-18 20:14:18 > Step:   86200 Progress: 86.2% Elapsed: 1 day, 6:27:58 temperature: no ada_p: No Discriminator_loss: 1.75639 Generator_loss: 0.432945 
[INFO] 2020-09-18 20:16:14 > Step:   86300 Progress: 86.3% Elapsed: 1 day, 6:29:54 temperature: no ada_p: No Discriminator_loss: 1.81319 Generator_loss: 0.46718 
[INFO] 2020-09-18 20:18:10 > Step:   86400 Progress: 86.4% Elapsed: 1 day, 6:31:50 temperature: no ada_p: No Discriminator_loss: 1.72618 Generator_loss: 0.479632 
[INFO] 2020-09-18 20:20:05 > Step:   86500 Progress: 86.5% Elapsed: 1 day, 6:33:46 temperature: no ada_p: No Discriminator_loss: 1.64577 Generator_loss: 0.482593 
[INFO] 2020-09-18 20:22:01 > Step:   86600 Progress: 86.6% Elapsed: 1 day, 6:35:41 temperature: no ada_p: No Discriminator_loss: 1.76637 Generator_loss: 0.565981 
[INFO] 2020-09-18 20:23:56 > Step:   86700 Progress: 86.7% Elapsed: 1 day, 6:37:37 temperature: no ada_p: No Discriminator_loss: 1.88977 Generator_loss: 0.356915 
[INFO] 2020-09-18 20:25:52 > Step:   86800 Progress: 86.8% Elapsed: 1 day, 6:39:32 temperature: no ada_p: No Discriminator_loss: 1.67503 Generator_loss: 0.43818 
[INFO] 2020-09-18 20:27:47 > Step:   86900 Progress: 86.9% Elapsed: 1 day, 6:41:27 temperature: no ada_p: No Discriminator_loss: 1.66751 Generator_loss: 0.319213 
[INFO] 2020-09-18 20:29:42 > Step:   87000 Progress: 87.0% Elapsed: 1 day, 6:43:22 temperature: no ada_p: No Discriminator_loss: 1.77954 Generator_loss: 0.471427 
[INFO] 2020-09-18 20:31:38 > Step:   87100 Progress: 87.1% Elapsed: 1 day, 6:45:18 temperature: no ada_p: No Discriminator_loss: 1.88586 Generator_loss: 0.500404 
[INFO] 2020-09-18 20:33:33 > Step:   87200 Progress: 87.2% Elapsed: 1 day, 6:47:13 temperature: no ada_p: No Discriminator_loss: 1.74292 Generator_loss: 0.451698 
[INFO] 2020-09-18 20:35:28 > Step:   87300 Progress: 87.3% Elapsed: 1 day, 6:49:08 temperature: no ada_p: No Discriminator_loss: 1.80868 Generator_loss: 0.493884 
[INFO] 2020-09-18 20:37:24 > Step:   87400 Progress: 87.4% Elapsed: 1 day, 6:51:04 temperature: no ada_p: No Discriminator_loss: 1.73224 Generator_loss: 0.444525 
[INFO] 2020-09-18 20:39:19 > Step:   87500 Progress: 87.5% Elapsed: 1 day, 6:53:00 temperature: no ada_p: No Discriminator_loss: 1.74986 Generator_loss: 0.568662 
[INFO] 2020-09-18 20:41:14 > Step:   87600 Progress: 87.6% Elapsed: 1 day, 6:54:54 temperature: no ada_p: No Discriminator_loss: 1.71479 Generator_loss: 0.553451 
[INFO] 2020-09-18 20:43:09 > Step:   87700 Progress: 87.7% Elapsed: 1 day, 6:56:49 temperature: no ada_p: No Discriminator_loss: 1.70126 Generator_loss: 0.520323 
[INFO] 2020-09-18 20:45:05 > Step:   87800 Progress: 87.8% Elapsed: 1 day, 6:58:45 temperature: no ada_p: No Discriminator_loss: 1.73407 Generator_loss: 0.550205 
[INFO] 2020-09-18 20:47:00 > Step:   87900 Progress: 87.9% Elapsed: 1 day, 7:00:40 temperature: no ada_p: No Discriminator_loss: 1.74848 Generator_loss: 0.725775 
[INFO] 2020-09-18 20:48:55 > Step:   88000 Progress: 88.0% Elapsed: 1 day, 7:02:36 temperature: no ada_p: No Discriminator_loss: 1.81631 Generator_loss: 0.533852 
[INFO] 2020-09-18 20:48:55 > Start Evaluation (88000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 20:50:59 > F_8 score (Step: 88000, Using test images): 0.9916330932697988
[INFO] 2020-09-18 20:50:59 > F_1/8 score (Step: 88000, Using test images): 0.9928307773131329
[INFO] 2020-09-18 20:50:59 > FID score (Step: 88000, Using test moments): 7.466713673442484
[INFO] 2020-09-18 20:50:59 > Inception score (Step: 88000, 10000 generated images): 10.054675102233887
[INFO] 2020-09-18 20:50:59 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 20:51:01 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 20:52:57 > Step:   88100 Progress: 88.1% Elapsed: 1 day, 7:06:37 temperature: no ada_p: No Discriminator_loss: 1.71184 Generator_loss: 0.612177 
[INFO] 2020-09-18 20:54:53 > Step:   88200 Progress: 88.2% Elapsed: 1 day, 7:08:33 temperature: no ada_p: No Discriminator_loss: 1.79703 Generator_loss: 0.459579 
[INFO] 2020-09-18 20:56:49 > Step:   88300 Progress: 88.3% Elapsed: 1 day, 7:10:29 temperature: no ada_p: No Discriminator_loss: 1.67154 Generator_loss: 0.376592 
[INFO] 2020-09-18 20:58:44 > Step:   88400 Progress: 88.4% Elapsed: 1 day, 7:12:24 temperature: no ada_p: No Discriminator_loss: 1.75248 Generator_loss: 0.644484 
[INFO] 2020-09-18 21:00:39 > Step:   88500 Progress: 88.5% Elapsed: 1 day, 7:14:19 temperature: no ada_p: No Discriminator_loss: 1.65456 Generator_loss: 0.497279 
[INFO] 2020-09-18 21:02:34 > Step:   88600 Progress: 88.6% Elapsed: 1 day, 7:16:14 temperature: no ada_p: No Discriminator_loss: 1.6789 Generator_loss: 0.572002 
[INFO] 2020-09-18 21:04:29 > Step:   88700 Progress: 88.7% Elapsed: 1 day, 7:18:09 temperature: no ada_p: No Discriminator_loss: 1.75579 Generator_loss: 0.506234 
[INFO] 2020-09-18 21:06:25 > Step:   88800 Progress: 88.8% Elapsed: 1 day, 7:20:05 temperature: no ada_p: No Discriminator_loss: 1.75035 Generator_loss: 0.433762 
[INFO] 2020-09-18 21:08:20 > Step:   88900 Progress: 88.9% Elapsed: 1 day, 7:22:00 temperature: no ada_p: No Discriminator_loss: 1.61759 Generator_loss: 0.463659 
[INFO] 2020-09-18 21:10:16 > Step:   89000 Progress: 89.0% Elapsed: 1 day, 7:23:56 temperature: no ada_p: No Discriminator_loss: 1.6506 Generator_loss: 0.472114 
[INFO] 2020-09-18 21:12:12 > Step:   89100 Progress: 89.1% Elapsed: 1 day, 7:25:52 temperature: no ada_p: No Discriminator_loss: 1.70633 Generator_loss: 0.502039 
[INFO] 2020-09-18 21:14:07 > Step:   89200 Progress: 89.2% Elapsed: 1 day, 7:27:47 temperature: no ada_p: No Discriminator_loss: 1.80401 Generator_loss: 0.366626 
[INFO] 2020-09-18 21:16:02 > Step:   89300 Progress: 89.3% Elapsed: 1 day, 7:29:43 temperature: no ada_p: No Discriminator_loss: 1.77881 Generator_loss: 0.467852 
[INFO] 2020-09-18 21:17:57 > Step:   89400 Progress: 89.4% Elapsed: 1 day, 7:31:38 temperature: no ada_p: No Discriminator_loss: 1.62158 Generator_loss: 0.430429 
[INFO] 2020-09-18 21:19:53 > Step:   89500 Progress: 89.5% Elapsed: 1 day, 7:33:33 temperature: no ada_p: No Discriminator_loss: 1.6465 Generator_loss: 0.479799 
[INFO] 2020-09-18 21:21:48 > Step:   89600 Progress: 89.6% Elapsed: 1 day, 7:35:29 temperature: no ada_p: No Discriminator_loss: 1.7111 Generator_loss: 0.250926 
[INFO] 2020-09-18 21:23:44 > Step:   89700 Progress: 89.7% Elapsed: 1 day, 7:37:25 temperature: no ada_p: No Discriminator_loss: 1.61371 Generator_loss: 0.371716 
[INFO] 2020-09-18 21:25:40 > Step:   89800 Progress: 89.8% Elapsed: 1 day, 7:39:20 temperature: no ada_p: No Discriminator_loss: 1.56332 Generator_loss: 0.519034 
[INFO] 2020-09-18 21:27:35 > Step:   89900 Progress: 89.9% Elapsed: 1 day, 7:41:15 temperature: no ada_p: No Discriminator_loss: 1.63994 Generator_loss: 0.54493 
[INFO] 2020-09-18 21:29:31 > Step:   90000 Progress: 90.0% Elapsed: 1 day, 7:43:11 temperature: no ada_p: No Discriminator_loss: 1.76503 Generator_loss: 0.60978 
[INFO] 2020-09-18 21:29:31 > Start Evaluation (90000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 21:31:34 > F_8 score (Step: 90000, Using test images): 0.9935873352613045
[INFO] 2020-09-18 21:31:34 > F_1/8 score (Step: 90000, Using test images): 0.9931304223891017
[INFO] 2020-09-18 21:31:34 > FID score (Step: 90000, Using test moments): 7.542168779666099
[INFO] 2020-09-18 21:31:34 > Inception score (Step: 90000, 10000 generated images): 10.28355598449707
[INFO] 2020-09-18 21:31:34 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 21:31:36 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 21:33:32 > Step:   90100 Progress: 90.1% Elapsed: 1 day, 7:47:12 temperature: no ada_p: No Discriminator_loss: 1.85069 Generator_loss: 0.64699 
[INFO] 2020-09-18 21:35:28 > Step:   90200 Progress: 90.2% Elapsed: 1 day, 7:49:08 temperature: no ada_p: No Discriminator_loss: 1.64773 Generator_loss: 0.48225 
[INFO] 2020-09-18 21:37:24 > Step:   90300 Progress: 90.3% Elapsed: 1 day, 7:51:04 temperature: no ada_p: No Discriminator_loss: 1.61058 Generator_loss: 0.503852 
[INFO] 2020-09-18 21:39:19 > Step:   90400 Progress: 90.4% Elapsed: 1 day, 7:52:59 temperature: no ada_p: No Discriminator_loss: 1.72475 Generator_loss: 0.685395 
[INFO] 2020-09-18 21:41:14 > Step:   90500 Progress: 90.5% Elapsed: 1 day, 7:54:54 temperature: no ada_p: No Discriminator_loss: 1.69105 Generator_loss: 0.50861 
[INFO] 2020-09-18 21:43:09 > Step:   90600 Progress: 90.6% Elapsed: 1 day, 7:56:49 temperature: no ada_p: No Discriminator_loss: 1.74149 Generator_loss: 0.663834 
[INFO] 2020-09-18 21:45:05 > Step:   90700 Progress: 90.7% Elapsed: 1 day, 7:58:45 temperature: no ada_p: No Discriminator_loss: 1.72441 Generator_loss: 0.24143 
[INFO] 2020-09-18 21:47:01 > Step:   90800 Progress: 90.8% Elapsed: 1 day, 8:00:41 temperature: no ada_p: No Discriminator_loss: 1.78194 Generator_loss: 0.557551 
[INFO] 2020-09-18 21:48:56 > Step:   90900 Progress: 90.9% Elapsed: 1 day, 8:02:36 temperature: no ada_p: No Discriminator_loss: 1.65163 Generator_loss: 0.423527 
[INFO] 2020-09-18 21:50:52 > Step:   91000 Progress: 91.0% Elapsed: 1 day, 8:04:32 temperature: no ada_p: No Discriminator_loss: 1.72178 Generator_loss: 0.490579 
[INFO] 2020-09-18 21:52:48 > Step:   91100 Progress: 91.1% Elapsed: 1 day, 8:06:28 temperature: no ada_p: No Discriminator_loss: 1.75827 Generator_loss: 0.476565 
[INFO] 2020-09-18 21:54:43 > Step:   91200 Progress: 91.2% Elapsed: 1 day, 8:08:23 temperature: no ada_p: No Discriminator_loss: 1.61003 Generator_loss: 0.303469 
[INFO] 2020-09-18 21:56:38 > Step:   91300 Progress: 91.3% Elapsed: 1 day, 8:10:19 temperature: no ada_p: No Discriminator_loss: 1.7958 Generator_loss: 0.551042 
[INFO] 2020-09-18 21:58:34 > Step:   91400 Progress: 91.4% Elapsed: 1 day, 8:12:15 temperature: no ada_p: No Discriminator_loss: 1.68282 Generator_loss: 0.435578 
[INFO] 2020-09-18 22:00:29 > Step:   91500 Progress: 91.5% Elapsed: 1 day, 8:14:10 temperature: no ada_p: No Discriminator_loss: 1.74031 Generator_loss: 0.408995 
[INFO] 2020-09-18 22:02:25 > Step:   91600 Progress: 91.6% Elapsed: 1 day, 8:16:05 temperature: no ada_p: No Discriminator_loss: 1.65763 Generator_loss: 0.389874 
[INFO] 2020-09-18 22:04:21 > Step:   91700 Progress: 91.7% Elapsed: 1 day, 8:18:01 temperature: no ada_p: No Discriminator_loss: 1.6783 Generator_loss: 0.364051 
[INFO] 2020-09-18 22:06:16 > Step:   91800 Progress: 91.8% Elapsed: 1 day, 8:19:56 temperature: no ada_p: No Discriminator_loss: 1.77011 Generator_loss: 0.337843 
[INFO] 2020-09-18 22:08:12 > Step:   91900 Progress: 91.9% Elapsed: 1 day, 8:21:52 temperature: no ada_p: No Discriminator_loss: 1.65644 Generator_loss: 0.403224 
[INFO] 2020-09-18 22:10:07 > Step:   92000 Progress: 92.0% Elapsed: 1 day, 8:23:47 temperature: no ada_p: No Discriminator_loss: 1.61532 Generator_loss: 0.562415 
[INFO] 2020-09-18 22:10:07 > Start Evaluation (92000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 22:12:10 > F_8 score (Step: 92000, Using test images): 0.9932285745991809
[INFO] 2020-09-18 22:12:10 > F_1/8 score (Step: 92000, Using test images): 0.9941277683102021
[INFO] 2020-09-18 22:12:10 > FID score (Step: 92000, Using test moments): 7.5157619413794805
[INFO] 2020-09-18 22:12:10 > Inception score (Step: 92000, 10000 generated images): 10.063987731933594
[INFO] 2020-09-18 22:12:10 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 22:12:12 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 22:14:08 > Step:   92100 Progress: 92.1% Elapsed: 1 day, 8:27:48 temperature: no ada_p: No Discriminator_loss: 1.53905 Generator_loss: 0.467652 
[INFO] 2020-09-18 22:16:04 > Step:   92200 Progress: 92.2% Elapsed: 1 day, 8:29:44 temperature: no ada_p: No Discriminator_loss: 1.73519 Generator_loss: 0.341947 
[INFO] 2020-09-18 22:17:59 > Step:   92300 Progress: 92.3% Elapsed: 1 day, 8:31:39 temperature: no ada_p: No Discriminator_loss: 1.63268 Generator_loss: 0.597534 
[INFO] 2020-09-18 22:19:55 > Step:   92400 Progress: 92.4% Elapsed: 1 day, 8:33:35 temperature: no ada_p: No Discriminator_loss: 1.78723 Generator_loss: 0.520826 
[INFO] 2020-09-18 22:21:51 > Step:   92500 Progress: 92.5% Elapsed: 1 day, 8:35:31 temperature: no ada_p: No Discriminator_loss: 1.77327 Generator_loss: 0.541493 
[INFO] 2020-09-18 22:23:47 > Step:   92600 Progress: 92.6% Elapsed: 1 day, 8:37:27 temperature: no ada_p: No Discriminator_loss: 1.68803 Generator_loss: 0.517157 
[INFO] 2020-09-18 22:25:42 > Step:   92700 Progress: 92.7% Elapsed: 1 day, 8:39:22 temperature: no ada_p: No Discriminator_loss: 1.74522 Generator_loss: 0.522993 
[INFO] 2020-09-18 22:27:38 > Step:   92800 Progress: 92.8% Elapsed: 1 day, 8:41:18 temperature: no ada_p: No Discriminator_loss: 1.6083 Generator_loss: 0.54462 
[INFO] 2020-09-18 22:29:33 > Step:   92900 Progress: 92.9% Elapsed: 1 day, 8:43:13 temperature: no ada_p: No Discriminator_loss: 1.73933 Generator_loss: 0.635856 
[INFO] 2020-09-18 22:31:28 > Step:   93000 Progress: 93.0% Elapsed: 1 day, 8:45:08 temperature: no ada_p: No Discriminator_loss: 1.64937 Generator_loss: 0.34613 
[INFO] 2020-09-18 22:33:23 > Step:   93100 Progress: 93.1% Elapsed: 1 day, 8:47:04 temperature: no ada_p: No Discriminator_loss: 1.63422 Generator_loss: 0.467108 
[INFO] 2020-09-18 22:35:19 > Step:   93200 Progress: 93.2% Elapsed: 1 day, 8:48:59 temperature: no ada_p: No Discriminator_loss: 1.87506 Generator_loss: 0.424518 
[INFO] 2020-09-18 22:37:15 > Step:   93300 Progress: 93.3% Elapsed: 1 day, 8:50:55 temperature: no ada_p: No Discriminator_loss: 1.65907 Generator_loss: 0.489873 
[INFO] 2020-09-18 22:39:10 > Step:   93400 Progress: 93.4% Elapsed: 1 day, 8:52:50 temperature: no ada_p: No Discriminator_loss: 1.6848 Generator_loss: 0.500149 
[INFO] 2020-09-18 22:41:05 > Step:   93500 Progress: 93.5% Elapsed: 1 day, 8:54:46 temperature: no ada_p: No Discriminator_loss: 1.72439 Generator_loss: 0.482928 
[INFO] 2020-09-18 22:43:01 > Step:   93600 Progress: 93.6% Elapsed: 1 day, 8:56:41 temperature: no ada_p: No Discriminator_loss: 1.69306 Generator_loss: 0.502931 
[INFO] 2020-09-18 22:44:56 > Step:   93700 Progress: 93.7% Elapsed: 1 day, 8:58:36 temperature: no ada_p: No Discriminator_loss: 1.69169 Generator_loss: 0.437844 
[INFO] 2020-09-18 22:46:52 > Step:   93800 Progress: 93.8% Elapsed: 1 day, 9:00:32 temperature: no ada_p: No Discriminator_loss: 1.68522 Generator_loss: 0.435443 
[INFO] 2020-09-18 22:48:47 > Step:   93900 Progress: 93.9% Elapsed: 1 day, 9:02:27 temperature: no ada_p: No Discriminator_loss: 1.51311 Generator_loss: 0.464911 
[INFO] 2020-09-18 22:50:42 > Step:   94000 Progress: 94.0% Elapsed: 1 day, 9:04:22 temperature: no ada_p: No Discriminator_loss: 1.82747 Generator_loss: 0.452641 
[INFO] 2020-09-18 22:50:42 > Start Evaluation (94000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 22:52:45 > F_8 score (Step: 94000, Using test images): 0.9920337843140392
[INFO] 2020-09-18 22:52:45 > F_1/8 score (Step: 94000, Using test images): 0.9936805415292013
[INFO] 2020-09-18 22:52:45 > FID score (Step: 94000, Using test moments): 7.610213550719891
[INFO] 2020-09-18 22:52:45 > Inception score (Step: 94000, 10000 generated images): 10.161275863647461
[INFO] 2020-09-18 22:52:45 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 22:52:47 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 22:54:43 > Step:   94100 Progress: 94.1% Elapsed: 1 day, 9:08:23 temperature: no ada_p: No Discriminator_loss: 1.74155 Generator_loss: 0.450521 
[INFO] 2020-09-18 22:56:39 > Step:   94200 Progress: 94.2% Elapsed: 1 day, 9:10:19 temperature: no ada_p: No Discriminator_loss: 1.82439 Generator_loss: 0.497351 
[INFO] 2020-09-18 22:58:35 > Step:   94300 Progress: 94.3% Elapsed: 1 day, 9:12:15 temperature: no ada_p: No Discriminator_loss: 1.7099 Generator_loss: 0.301457 
[INFO] 2020-09-18 23:00:31 > Step:   94400 Progress: 94.4% Elapsed: 1 day, 9:14:11 temperature: no ada_p: No Discriminator_loss: 1.63138 Generator_loss: 0.484054 
[INFO] 2020-09-18 23:02:25 > Step:   94500 Progress: 94.5% Elapsed: 1 day, 9:16:06 temperature: no ada_p: No Discriminator_loss: 1.67215 Generator_loss: 0.485712 
[INFO] 2020-09-18 23:04:21 > Step:   94600 Progress: 94.6% Elapsed: 1 day, 9:18:01 temperature: no ada_p: No Discriminator_loss: 1.76207 Generator_loss: 0.565274 
[INFO] 2020-09-18 23:06:17 > Step:   94700 Progress: 94.7% Elapsed: 1 day, 9:19:57 temperature: no ada_p: No Discriminator_loss: 1.87088 Generator_loss: 0.328806 
[INFO] 2020-09-18 23:08:12 > Step:   94800 Progress: 94.8% Elapsed: 1 day, 9:21:52 temperature: no ada_p: No Discriminator_loss: 1.65589 Generator_loss: 0.541452 
[INFO] 2020-09-18 23:10:07 > Step:   94900 Progress: 94.9% Elapsed: 1 day, 9:23:48 temperature: no ada_p: No Discriminator_loss: 1.76276 Generator_loss: 0.491058 
[INFO] 2020-09-18 23:12:03 > Step:   95000 Progress: 95.0% Elapsed: 1 day, 9:25:43 temperature: no ada_p: No Discriminator_loss: 1.69983 Generator_loss: 0.579321 
[INFO] 2020-09-18 23:13:58 > Step:   95100 Progress: 95.1% Elapsed: 1 day, 9:27:38 temperature: no ada_p: No Discriminator_loss: 1.86364 Generator_loss: 0.494927 
[INFO] 2020-09-18 23:15:53 > Step:   95200 Progress: 95.2% Elapsed: 1 day, 9:29:34 temperature: no ada_p: No Discriminator_loss: 1.79438 Generator_loss: 0.523293 
[INFO] 2020-09-18 23:17:49 > Step:   95300 Progress: 95.3% Elapsed: 1 day, 9:31:29 temperature: no ada_p: No Discriminator_loss: 1.77164 Generator_loss: 0.424093 
[INFO] 2020-09-18 23:19:44 > Step:   95400 Progress: 95.4% Elapsed: 1 day, 9:33:24 temperature: no ada_p: No Discriminator_loss: 1.60222 Generator_loss: 0.559955 
[INFO] 2020-09-18 23:21:39 > Step:   95500 Progress: 95.5% Elapsed: 1 day, 9:35:19 temperature: no ada_p: No Discriminator_loss: 1.68568 Generator_loss: 0.624144 
[INFO] 2020-09-18 23:23:34 > Step:   95600 Progress: 95.6% Elapsed: 1 day, 9:37:14 temperature: no ada_p: No Discriminator_loss: 1.72479 Generator_loss: 0.676943 
[INFO] 2020-09-18 23:25:29 > Step:   95700 Progress: 95.7% Elapsed: 1 day, 9:39:09 temperature: no ada_p: No Discriminator_loss: 1.70355 Generator_loss: 0.470741 
[INFO] 2020-09-18 23:27:25 > Step:   95800 Progress: 95.8% Elapsed: 1 day, 9:41:05 temperature: no ada_p: No Discriminator_loss: 1.7193 Generator_loss: 0.569219 
[INFO] 2020-09-18 23:29:19 > Step:   95900 Progress: 95.9% Elapsed: 1 day, 9:43:00 temperature: no ada_p: No Discriminator_loss: 1.81289 Generator_loss: 0.423246 
[INFO] 2020-09-18 23:31:15 > Step:   96000 Progress: 96.0% Elapsed: 1 day, 9:44:55 temperature: no ada_p: No Discriminator_loss: 1.72418 Generator_loss: 0.506356 
[INFO] 2020-09-18 23:31:15 > Start Evaluation (96000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 23:33:19 > F_8 score (Step: 96000, Using test images): 0.9940303973192832
[INFO] 2020-09-18 23:33:19 > F_1/8 score (Step: 96000, Using test images): 0.9921230513262956
[INFO] 2020-09-18 23:33:19 > FID score (Step: 96000, Using test moments): 7.540324494758636
[INFO] 2020-09-18 23:33:19 > Inception score (Step: 96000, 10000 generated images): 10.130744934082031
[INFO] 2020-09-18 23:33:19 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-18 23:33:21 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-18 23:35:17 > Step:   96100 Progress: 96.1% Elapsed: 1 day, 9:48:57 temperature: no ada_p: No Discriminator_loss: 1.75105 Generator_loss: 0.584817 
[INFO] 2020-09-18 23:37:13 > Step:   96200 Progress: 96.2% Elapsed: 1 day, 9:50:53 temperature: no ada_p: No Discriminator_loss: 1.64742 Generator_loss: 0.440012 
[INFO] 2020-09-18 23:39:09 > Step:   96300 Progress: 96.3% Elapsed: 1 day, 9:52:49 temperature: no ada_p: No Discriminator_loss: 1.66065 Generator_loss: 0.372399 
[INFO] 2020-09-18 23:41:05 > Step:   96400 Progress: 96.4% Elapsed: 1 day, 9:54:45 temperature: no ada_p: No Discriminator_loss: 1.75301 Generator_loss: 0.468637 
[INFO] 2020-09-18 23:43:00 > Step:   96500 Progress: 96.5% Elapsed: 1 day, 9:56:40 temperature: no ada_p: No Discriminator_loss: 1.74115 Generator_loss: 0.484938 
[INFO] 2020-09-18 23:44:55 > Step:   96600 Progress: 96.6% Elapsed: 1 day, 9:58:36 temperature: no ada_p: No Discriminator_loss: 1.71289 Generator_loss: 0.4147 
[INFO] 2020-09-18 23:46:51 > Step:   96700 Progress: 96.7% Elapsed: 1 day, 10:00:31 temperature: no ada_p: No Discriminator_loss: 1.67667 Generator_loss: 0.466358 
[INFO] 2020-09-18 23:48:45 > Step:   96800 Progress: 96.8% Elapsed: 1 day, 10:02:26 temperature: no ada_p: No Discriminator_loss: 1.74928 Generator_loss: 0.373184 
[INFO] 2020-09-18 23:50:41 > Step:   96900 Progress: 96.9% Elapsed: 1 day, 10:04:22 temperature: no ada_p: No Discriminator_loss: 1.71795 Generator_loss: 0.47048 
[INFO] 2020-09-18 23:52:37 > Step:   97000 Progress: 97.0% Elapsed: 1 day, 10:06:17 temperature: no ada_p: No Discriminator_loss: 1.77467 Generator_loss: 0.497574 
[INFO] 2020-09-18 23:54:32 > Step:   97100 Progress: 97.1% Elapsed: 1 day, 10:08:13 temperature: no ada_p: No Discriminator_loss: 1.59873 Generator_loss: 0.603025 
[INFO] 2020-09-18 23:56:28 > Step:   97200 Progress: 97.2% Elapsed: 1 day, 10:10:08 temperature: no ada_p: No Discriminator_loss: 1.69534 Generator_loss: 0.532038 
[INFO] 2020-09-18 23:58:23 > Step:   97300 Progress: 97.3% Elapsed: 1 day, 10:12:03 temperature: no ada_p: No Discriminator_loss: 1.75543 Generator_loss: 0.563813 
[INFO] 2020-09-19 00:00:18 > Step:   97400 Progress: 97.4% Elapsed: 1 day, 10:13:58 temperature: no ada_p: No Discriminator_loss: 1.57274 Generator_loss: 0.401911 
[INFO] 2020-09-19 00:02:14 > Step:   97500 Progress: 97.5% Elapsed: 1 day, 10:15:54 temperature: no ada_p: No Discriminator_loss: 1.79374 Generator_loss: 0.585429 
[INFO] 2020-09-19 00:04:09 > Step:   97600 Progress: 97.6% Elapsed: 1 day, 10:17:50 temperature: no ada_p: No Discriminator_loss: 1.70128 Generator_loss: 0.462089 
[INFO] 2020-09-19 00:06:04 > Step:   97700 Progress: 97.7% Elapsed: 1 day, 10:19:45 temperature: no ada_p: No Discriminator_loss: 1.80048 Generator_loss: 0.526781 
[INFO] 2020-09-19 00:07:59 > Step:   97800 Progress: 97.8% Elapsed: 1 day, 10:21:39 temperature: no ada_p: No Discriminator_loss: 1.61807 Generator_loss: 0.558077 
[INFO] 2020-09-19 00:09:54 > Step:   97900 Progress: 97.9% Elapsed: 1 day, 10:23:34 temperature: no ada_p: No Discriminator_loss: 1.73664 Generator_loss: 0.457187 
[INFO] 2020-09-19 00:11:49 > Step:   98000 Progress: 98.0% Elapsed: 1 day, 10:25:29 temperature: no ada_p: No Discriminator_loss: 1.75612 Generator_loss: 0.629189 
[INFO] 2020-09-19 00:11:49 > Start Evaluation (98000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-19 00:13:51 > F_8 score (Step: 98000, Using test images): 0.9933300899022338
[INFO] 2020-09-19 00:13:51 > F_1/8 score (Step: 98000, Using test images): 0.993927136024741
[INFO] 2020-09-19 00:13:51 > FID score (Step: 98000, Using test moments): 7.479527635642455
[INFO] 2020-09-19 00:13:51 > Inception score (Step: 98000, 10000 generated images): 10.097410202026367
[INFO] 2020-09-19 00:13:51 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-19 00:13:53 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-19 00:15:48 > Step:   98100 Progress: 98.1% Elapsed: 1 day, 10:29:28 temperature: no ada_p: No Discriminator_loss: 1.72182 Generator_loss: 0.593549 
[INFO] 2020-09-19 00:17:43 > Step:   98200 Progress: 98.2% Elapsed: 1 day, 10:31:23 temperature: no ada_p: No Discriminator_loss: 1.76441 Generator_loss: 0.660024 
[INFO] 2020-09-19 00:19:37 > Step:   98300 Progress: 98.3% Elapsed: 1 day, 10:33:17 temperature: no ada_p: No Discriminator_loss: 1.75365 Generator_loss: 0.558028 
[INFO] 2020-09-19 00:21:32 > Step:   98400 Progress: 98.4% Elapsed: 1 day, 10:35:12 temperature: no ada_p: No Discriminator_loss: 1.68809 Generator_loss: 0.469302 
[INFO] 2020-09-19 00:23:33 > Step:   98500 Progress: 98.5% Elapsed: 1 day, 10:37:13 temperature: no ada_p: No Discriminator_loss: 1.73811 Generator_loss: 0.336647 
[INFO] 2020-09-19 00:25:33 > Step:   98600 Progress: 98.6% Elapsed: 1 day, 10:39:13 temperature: no ada_p: No Discriminator_loss: 1.80812 Generator_loss: 0.507935 
[INFO] 2020-09-19 00:27:34 > Step:   98700 Progress: 98.7% Elapsed: 1 day, 10:41:14 temperature: no ada_p: No Discriminator_loss: 1.68375 Generator_loss: 0.543128 
[INFO] 2020-09-19 00:29:35 > Step:   98800 Progress: 98.8% Elapsed: 1 day, 10:43:16 temperature: no ada_p: No Discriminator_loss: 1.71516 Generator_loss: 0.615414 
[INFO] 2020-09-19 00:31:37 > Step:   98900 Progress: 98.9% Elapsed: 1 day, 10:45:17 temperature: no ada_p: No Discriminator_loss: 1.5773 Generator_loss: 0.537954 
[INFO] 2020-09-19 00:33:37 > Step:   99000 Progress: 99.0% Elapsed: 1 day, 10:47:17 temperature: no ada_p: No Discriminator_loss: 1.82552 Generator_loss: 0.559569 
[INFO] 2020-09-19 00:35:38 > Step:   99100 Progress: 99.1% Elapsed: 1 day, 10:49:18 temperature: no ada_p: No Discriminator_loss: 1.6759 Generator_loss: 0.418207 
[INFO] 2020-09-19 00:37:40 > Step:   99200 Progress: 99.2% Elapsed: 1 day, 10:51:20 temperature: no ada_p: No Discriminator_loss: 1.72157 Generator_loss: 0.610601 
[INFO] 2020-09-19 00:39:40 > Step:   99300 Progress: 99.3% Elapsed: 1 day, 10:53:20 temperature: no ada_p: No Discriminator_loss: 1.64753 Generator_loss: 0.641238 
[INFO] 2020-09-19 00:41:43 > Step:   99400 Progress: 99.4% Elapsed: 1 day, 10:55:23 temperature: no ada_p: No Discriminator_loss: 1.72639 Generator_loss: 0.365192 
[INFO] 2020-09-19 00:43:42 > Step:   99500 Progress: 99.5% Elapsed: 1 day, 10:57:22 temperature: no ada_p: No Discriminator_loss: 1.81885 Generator_loss: 0.446137 
[INFO] 2020-09-19 00:45:42 > Step:   99600 Progress: 99.6% Elapsed: 1 day, 10:59:22 temperature: no ada_p: No Discriminator_loss: 1.79194 Generator_loss: 0.498668 
[INFO] 2020-09-19 00:47:38 > Step:   99700 Progress: 99.7% Elapsed: 1 day, 11:01:19 temperature: no ada_p: No Discriminator_loss: 1.711 Generator_loss: 0.444919 
[INFO] 2020-09-19 00:49:37 > Step:   99800 Progress: 99.8% Elapsed: 1 day, 11:03:18 temperature: no ada_p: No Discriminator_loss: 1.59057 Generator_loss: 0.369849 
[INFO] 2020-09-19 00:51:37 > Step:   99900 Progress: 99.9% Elapsed: 1 day, 11:05:17 temperature: no ada_p: No Discriminator_loss: 1.74685 Generator_loss: 0.694366 
[INFO] 2020-09-19 00:53:37 > Step:  100000 Progress: 100.0% Elapsed: 1 day, 11:07:17 temperature: no ada_p: No Discriminator_loss: 1.61738 Generator_loss: 0.284862 
[INFO] 2020-09-19 00:53:37 > Start Evaluation (100000 Step): ICRGAN(P)-train-2020_09_17_13_46_09
[INFO] 2020-09-19 00:55:42 > F_8 score (Step: 100000, Using test images): 0.9930171120503107
[INFO] 2020-09-19 00:55:42 > F_1/8 score (Step: 100000, Using test images): 0.9943766686926372
[INFO] 2020-09-19 00:55:42 > FID score (Step: 100000, Using test moments): 7.664000938963341
[INFO] 2020-09-19 00:55:42 > Inception score (Step: 100000, 10000 generated images): 10.07564926147461
[INFO] 2020-09-19 00:55:42 > Best FID score (Step: 80000, Using test moments): 7.430212264825855
[INFO] 2020-09-19 00:55:45 > Saved model to checkpoints/ICRGAN(P)-train-2020_09_17_13_46_09