CRGAN(P)-train-2020_09_17_13_45_19.log

[INFO] 2020-09-17 13:45:19 > Run name : CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 13:45:19 > {'config_path': './configs/CIFAR10/CRGAN(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 13:45:19 > {'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': True, 'cr_lambda': 10.0, 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 1000}}
[INFO] 2020-09-17 13:45:19 > Loading train datasets...
[INFO] 2020-09-17 13:45:20 > Train dataset size : 50000
[INFO] 2020-09-17 13:45:20 > Loading test datasets...
[INFO] 2020-09-17 13:45:21 > Eval dataset size : 10000
[INFO] 2020-09-17 13:45:21 > Building model...
[INFO] 2020-09-17 13:45:21 > Modules are located on models.big_resnet
[INFO] 2020-09-17 13:45:24 > Number of parameters: 9416196
[INFO] 2020-09-17 13:45:24 > 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 13:45:24 > Number of parameters: 2415170
[INFO] 2020-09-17 13:45:24 > 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 13:45:28 > Start training....
[INFO] 2020-09-17 13:46:35 > Step:     100 Progress: 0.1% Elapsed: 0:01:06 temperature: no ada_p: No Discriminator_loss: 0.770207 Generator_loss: 1.55189 
[INFO] 2020-09-17 13:47:48 > Step:     200 Progress: 0.2% Elapsed: 0:02:19 temperature: no ada_p: No Discriminator_loss: 0.983742 Generator_loss: -0.44854 
[INFO] 2020-09-17 13:49:00 > Step:     300 Progress: 0.3% Elapsed: 0:03:32 temperature: no ada_p: No Discriminator_loss: 1.17392 Generator_loss: -0.197613 
[INFO] 2020-09-17 13:50:12 > Step:     400 Progress: 0.4% Elapsed: 0:04:43 temperature: no ada_p: No Discriminator_loss: 1.66167 Generator_loss: 1.02473 
[INFO] 2020-09-17 13:51:24 > Step:     500 Progress: 0.5% Elapsed: 0:05:55 temperature: no ada_p: No Discriminator_loss: 1.08558 Generator_loss: 1.75452 
[INFO] 2020-09-17 13:52:35 > Step:     600 Progress: 0.6% Elapsed: 0:07:06 temperature: no ada_p: No Discriminator_loss: 1.69625 Generator_loss: -0.468888 
[INFO] 2020-09-17 13:53:47 > Step:     700 Progress: 0.7% Elapsed: 0:08:18 temperature: no ada_p: No Discriminator_loss: 1.48572 Generator_loss: 0.180261 
[INFO] 2020-09-17 13:54:59 > Step:     800 Progress: 0.8% Elapsed: 0:09:30 temperature: no ada_p: No Discriminator_loss: 1.3704 Generator_loss: 0.104473 
[INFO] 2020-09-17 13:56:09 > Step:     900 Progress: 0.9% Elapsed: 0:10:40 temperature: no ada_p: No Discriminator_loss: 1.61566 Generator_loss: -0.0599692 
[INFO] 2020-09-17 13:57:20 > Step:    1000 Progress: 1.0% Elapsed: 0:11:51 temperature: no ada_p: No Discriminator_loss: 1.31603 Generator_loss: 0.360557 
[INFO] 2020-09-17 13:58:33 > Step:    1100 Progress: 1.1% Elapsed: 0:13:04 temperature: no ada_p: No Discriminator_loss: 1.55875 Generator_loss: 0.726559 
[INFO] 2020-09-17 13:59:44 > Step:    1200 Progress: 1.2% Elapsed: 0:14:15 temperature: no ada_p: No Discriminator_loss: 1.31173 Generator_loss: 1.04848 
[INFO] 2020-09-17 14:00:57 > Step:    1300 Progress: 1.3% Elapsed: 0:15:28 temperature: no ada_p: No Discriminator_loss: 1.08258 Generator_loss: 0.762676 
[INFO] 2020-09-17 14:02:08 > Step:    1400 Progress: 1.4% Elapsed: 0:16:39 temperature: no ada_p: No Discriminator_loss: 1.57666 Generator_loss: -0.0340972 
[INFO] 2020-09-17 14:03:19 > Step:    1500 Progress: 1.5% Elapsed: 0:17:51 temperature: no ada_p: No Discriminator_loss: 1.3644 Generator_loss: 0.387116 
[INFO] 2020-09-17 14:04:31 > Step:    1600 Progress: 1.6% Elapsed: 0:19:02 temperature: no ada_p: No Discriminator_loss: 1.3986 Generator_loss: 0.395694 
[INFO] 2020-09-17 14:05:43 > Step:    1700 Progress: 1.7% Elapsed: 0:20:14 temperature: no ada_p: No Discriminator_loss: 1.42607 Generator_loss: 0.385877 
[INFO] 2020-09-17 14:06:54 > Step:    1800 Progress: 1.8% Elapsed: 0:21:26 temperature: no ada_p: No Discriminator_loss: 1.21624 Generator_loss: 0.73411 
[INFO] 2020-09-17 14:08:06 > Step:    1900 Progress: 1.9% Elapsed: 0:22:38 temperature: no ada_p: No Discriminator_loss: 1.335 Generator_loss: 0.496634 
[INFO] 2020-09-17 14:09:16 > Step:    2000 Progress: 2.0% Elapsed: 0:23:48 temperature: no ada_p: No Discriminator_loss: 1.0228 Generator_loss: -0.0861995 
[INFO] 2020-09-17 14:09:17 > Start Evaluation (2000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 14:11:27 > F_8 score (Step: 2000, Using test images): 0.762323881492869
[INFO] 2020-09-17 14:11:27 > F_1/8 score (Step: 2000, Using test images): 0.8304185521201607
[INFO] 2020-09-17 14:11:27 > FID score (Step: 2000, Using test moments): 48.950837705962385
[INFO] 2020-09-17 14:11:27 > Inception score (Step: 2000, 10000 generated images): 5.755905628204346
[INFO] 2020-09-17 14:11:27 > Best FID score (Step: 2000, Using test moments): 48.950837705962385
[INFO] 2020-09-17 14:11:31 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 14:12:43 > Step:    2100 Progress: 2.1% Elapsed: 0:27:15 temperature: no ada_p: No Discriminator_loss: 1.46617 Generator_loss: -0.12857 
[INFO] 2020-09-17 14:13:56 > Step:    2200 Progress: 2.2% Elapsed: 0:28:27 temperature: no ada_p: No Discriminator_loss: 1.79142 Generator_loss: -0.873914 
[INFO] 2020-09-17 14:15:07 > Step:    2300 Progress: 2.3% Elapsed: 0:29:39 temperature: no ada_p: No Discriminator_loss: 1.37181 Generator_loss: 0.411975 
[INFO] 2020-09-17 14:16:19 > Step:    2400 Progress: 2.4% Elapsed: 0:30:50 temperature: no ada_p: No Discriminator_loss: 1.41283 Generator_loss: 0.752353 
[INFO] 2020-09-17 14:17:31 > Step:    2500 Progress: 2.5% Elapsed: 0:32:02 temperature: no ada_p: No Discriminator_loss: 1.60877 Generator_loss: 0.483286 
[INFO] 2020-09-17 14:18:43 > Step:    2600 Progress: 2.6% Elapsed: 0:33:14 temperature: no ada_p: No Discriminator_loss: 1.42684 Generator_loss: 0.404452 
[INFO] 2020-09-17 14:19:54 > Step:    2700 Progress: 2.7% Elapsed: 0:34:25 temperature: no ada_p: No Discriminator_loss: 1.41646 Generator_loss: 0.366618 
[INFO] 2020-09-17 14:21:05 > Step:    2800 Progress: 2.8% Elapsed: 0:35:37 temperature: no ada_p: No Discriminator_loss: 1.58319 Generator_loss: 0.654689 
[INFO] 2020-09-17 14:22:18 > Step:    2900 Progress: 2.9% Elapsed: 0:36:49 temperature: no ada_p: No Discriminator_loss: 1.34668 Generator_loss: 0.120797 
[INFO] 2020-09-17 14:23:29 > Step:    3000 Progress: 3.0% Elapsed: 0:38:01 temperature: no ada_p: No Discriminator_loss: 1.45966 Generator_loss: 0.533956 
[INFO] 2020-09-17 14:24:40 > Step:    3100 Progress: 3.1% Elapsed: 0:39:12 temperature: no ada_p: No Discriminator_loss: 1.53097 Generator_loss: 0.756086 
[INFO] 2020-09-17 14:25:51 > Step:    3200 Progress: 3.2% Elapsed: 0:40:22 temperature: no ada_p: No Discriminator_loss: 1.43637 Generator_loss: 0.892123 
[INFO] 2020-09-17 14:27:03 > Step:    3300 Progress: 3.3% Elapsed: 0:41:34 temperature: no ada_p: No Discriminator_loss: 1.8478 Generator_loss: -0.544509 
[INFO] 2020-09-17 14:28:11 > Step:    3400 Progress: 3.4% Elapsed: 0:42:43 temperature: no ada_p: No Discriminator_loss: 1.5326 Generator_loss: 0.431293 
[INFO] 2020-09-17 14:29:17 > Step:    3500 Progress: 3.5% Elapsed: 0:43:48 temperature: no ada_p: No Discriminator_loss: 1.47246 Generator_loss: 0.816388 
[INFO] 2020-09-17 14:30:26 > Step:    3600 Progress: 3.6% Elapsed: 0:44:57 temperature: no ada_p: No Discriminator_loss: 1.563 Generator_loss: 0.452375 
[INFO] 2020-09-17 14:31:36 > Step:    3700 Progress: 3.7% Elapsed: 0:46:07 temperature: no ada_p: No Discriminator_loss: 1.5148 Generator_loss: 0.117197 
[INFO] 2020-09-17 14:32:47 > Step:    3800 Progress: 3.8% Elapsed: 0:47:18 temperature: no ada_p: No Discriminator_loss: 1.51161 Generator_loss: 0.920341 
[INFO] 2020-09-17 14:33:58 > Step:    3900 Progress: 3.9% Elapsed: 0:48:29 temperature: no ada_p: No Discriminator_loss: 1.42756 Generator_loss: 0.450566 
[INFO] 2020-09-17 14:35:08 > Step:    4000 Progress: 4.0% Elapsed: 0:49:39 temperature: no ada_p: No Discriminator_loss: 1.37897 Generator_loss: 0.382127 
[INFO] 2020-09-17 14:35:08 > Start Evaluation (4000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 14:37:16 > F_8 score (Step: 4000, Using test images): 0.822391353696006
[INFO] 2020-09-17 14:37:16 > F_1/8 score (Step: 4000, Using test images): 0.8619454318372609
[INFO] 2020-09-17 14:37:16 > FID score (Step: 4000, Using test moments): 42.99908279355424
[INFO] 2020-09-17 14:37:16 > Inception score (Step: 4000, 10000 generated images): 6.4300856590271
[INFO] 2020-09-17 14:37:16 > Best FID score (Step: 4000, Using test moments): 42.99908279355424
[INFO] 2020-09-17 14:37:21 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 14:38:32 > Step:    4100 Progress: 4.1% Elapsed: 0:53:03 temperature: no ada_p: No Discriminator_loss: 1.49609 Generator_loss: -0.171044 
[INFO] 2020-09-17 14:39:46 > Step:    4200 Progress: 4.2% Elapsed: 0:54:17 temperature: no ada_p: No Discriminator_loss: 1.46963 Generator_loss: 0.245917 
[INFO] 2020-09-17 14:40:58 > Step:    4300 Progress: 4.3% Elapsed: 0:55:29 temperature: no ada_p: No Discriminator_loss: 1.16645 Generator_loss: 1.04734 
[INFO] 2020-09-17 14:42:09 > Step:    4400 Progress: 4.4% Elapsed: 0:56:40 temperature: no ada_p: No Discriminator_loss: 1.42382 Generator_loss: 0.381527 
[INFO] 2020-09-17 14:43:22 > Step:    4500 Progress: 4.5% Elapsed: 0:57:53 temperature: no ada_p: No Discriminator_loss: 1.38741 Generator_loss: 1.21105 
[INFO] 2020-09-17 14:44:34 > Step:    4600 Progress: 4.6% Elapsed: 0:59:05 temperature: no ada_p: No Discriminator_loss: 1.5151 Generator_loss: 0.183339 
[INFO] 2020-09-17 14:45:45 > Step:    4700 Progress: 4.7% Elapsed: 1:00:17 temperature: no ada_p: No Discriminator_loss: 1.24529 Generator_loss: 0.661507 
[INFO] 2020-09-17 14:46:56 > Step:    4800 Progress: 4.8% Elapsed: 1:01:28 temperature: no ada_p: No Discriminator_loss: 1.55896 Generator_loss: 0.424618 
[INFO] 2020-09-17 14:48:07 > Step:    4900 Progress: 4.9% Elapsed: 1:02:38 temperature: no ada_p: No Discriminator_loss: 1.73961 Generator_loss: 0.448231 
[INFO] 2020-09-17 14:49:18 > Step:    5000 Progress: 5.0% Elapsed: 1:03:50 temperature: no ada_p: No Discriminator_loss: 1.50959 Generator_loss: 0.480551 
[INFO] 2020-09-17 14:50:30 > Step:    5100 Progress: 5.1% Elapsed: 1:05:02 temperature: no ada_p: No Discriminator_loss: 1.70741 Generator_loss: 0.018523 
[INFO] 2020-09-17 14:51:42 > Step:    5200 Progress: 5.2% Elapsed: 1:06:13 temperature: no ada_p: No Discriminator_loss: 1.58506 Generator_loss: -0.0684744 
[INFO] 2020-09-17 14:52:53 > Step:    5300 Progress: 5.3% Elapsed: 1:07:24 temperature: no ada_p: No Discriminator_loss: 1.48211 Generator_loss: 0.177137 
[INFO] 2020-09-17 14:54:05 > Step:    5400 Progress: 5.4% Elapsed: 1:08:36 temperature: no ada_p: No Discriminator_loss: 1.32353 Generator_loss: 0.44487 
[INFO] 2020-09-17 14:55:16 > Step:    5500 Progress: 5.5% Elapsed: 1:09:47 temperature: no ada_p: No Discriminator_loss: 1.39826 Generator_loss: -0.122817 
[INFO] 2020-09-17 14:56:27 > Step:    5600 Progress: 5.6% Elapsed: 1:10:58 temperature: no ada_p: No Discriminator_loss: 1.65762 Generator_loss: 0.14851 
[INFO] 2020-09-17 14:57:39 > Step:    5700 Progress: 5.7% Elapsed: 1:12:10 temperature: no ada_p: No Discriminator_loss: 1.43022 Generator_loss: 0.667935 
[INFO] 2020-09-17 14:58:51 > Step:    5800 Progress: 5.8% Elapsed: 1:13:23 temperature: no ada_p: No Discriminator_loss: 1.58715 Generator_loss: 0.288474 
[INFO] 2020-09-17 15:00:02 > Step:    5900 Progress: 5.9% Elapsed: 1:14:33 temperature: no ada_p: No Discriminator_loss: 1.51285 Generator_loss: 0.342709 
[INFO] 2020-09-17 15:01:13 > Step:    6000 Progress: 6.0% Elapsed: 1:15:45 temperature: no ada_p: No Discriminator_loss: 1.44148 Generator_loss: 0.324087 
[INFO] 2020-09-17 15:01:13 > Start Evaluation (6000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:03:21 > F_8 score (Step: 6000, Using test images): 0.8811303942469686
[INFO] 2020-09-17 15:03:21 > F_1/8 score (Step: 6000, Using test images): 0.8925318527672632
[INFO] 2020-09-17 15:03:21 > FID score (Step: 6000, Using test moments): 36.88126260394381
[INFO] 2020-09-17 15:03:21 > Inception score (Step: 6000, 10000 generated images): 7.292013168334961
[INFO] 2020-09-17 15:03:21 > Best FID score (Step: 6000, Using test moments): 36.88126260394381
[INFO] 2020-09-17 15:03:25 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:04:37 > Step:    6100 Progress: 6.1% Elapsed: 1:19:08 temperature: no ada_p: No Discriminator_loss: 1.46251 Generator_loss: 0.532196 
[INFO] 2020-09-17 15:05:48 > Step:    6200 Progress: 6.2% Elapsed: 1:20:20 temperature: no ada_p: No Discriminator_loss: 1.43478 Generator_loss: 0.394846 
[INFO] 2020-09-17 15:07:01 > Step:    6300 Progress: 6.3% Elapsed: 1:21:32 temperature: no ada_p: No Discriminator_loss: 1.43881 Generator_loss: 0.433678 
[INFO] 2020-09-17 15:08:13 > Step:    6400 Progress: 6.4% Elapsed: 1:22:44 temperature: no ada_p: No Discriminator_loss: 1.65326 Generator_loss: 0.368367 
[INFO] 2020-09-17 15:09:24 > Step:    6500 Progress: 6.5% Elapsed: 1:23:55 temperature: no ada_p: No Discriminator_loss: 1.58993 Generator_loss: 0.109208 
[INFO] 2020-09-17 15:10:37 > Step:    6600 Progress: 6.6% Elapsed: 1:25:08 temperature: no ada_p: No Discriminator_loss: 1.42166 Generator_loss: 0.214713 
[INFO] 2020-09-17 15:11:44 > Step:    6700 Progress: 6.7% Elapsed: 1:26:15 temperature: no ada_p: No Discriminator_loss: 1.61856 Generator_loss: 0.348196 
[INFO] 2020-09-17 15:12:49 > Step:    6800 Progress: 6.8% Elapsed: 1:27:20 temperature: no ada_p: No Discriminator_loss: 1.8153 Generator_loss: -0.24517 
[INFO] 2020-09-17 15:13:58 > Step:    6900 Progress: 6.9% Elapsed: 1:28:30 temperature: no ada_p: No Discriminator_loss: 1.37351 Generator_loss: 0.422386 
[INFO] 2020-09-17 15:15:08 > Step:    7000 Progress: 7.0% Elapsed: 1:29:39 temperature: no ada_p: No Discriminator_loss: 1.67586 Generator_loss: -0.302336 
[INFO] 2020-09-17 15:16:20 > Step:    7100 Progress: 7.1% Elapsed: 1:30:52 temperature: no ada_p: No Discriminator_loss: 1.51263 Generator_loss: 0.401654 
[INFO] 2020-09-17 15:17:32 > Step:    7200 Progress: 7.2% Elapsed: 1:32:04 temperature: no ada_p: No Discriminator_loss: 1.48452 Generator_loss: 0.39264 
[INFO] 2020-09-17 15:18:44 > Step:    7300 Progress: 7.3% Elapsed: 1:33:15 temperature: no ada_p: No Discriminator_loss: 1.40793 Generator_loss: -0.0793695 
[INFO] 2020-09-17 15:19:54 > Step:    7400 Progress: 7.4% Elapsed: 1:34:26 temperature: no ada_p: No Discriminator_loss: 1.38799 Generator_loss: 0.697911 
[INFO] 2020-09-17 15:21:07 > Step:    7500 Progress: 7.5% Elapsed: 1:35:38 temperature: no ada_p: No Discriminator_loss: 1.6653 Generator_loss: 0.184082 
[INFO] 2020-09-17 15:22:17 > Step:    7600 Progress: 7.6% Elapsed: 1:36:49 temperature: no ada_p: No Discriminator_loss: 1.46002 Generator_loss: -0.114855 
[INFO] 2020-09-17 15:23:29 > Step:    7700 Progress: 7.7% Elapsed: 1:38:00 temperature: no ada_p: No Discriminator_loss: 1.45525 Generator_loss: 0.114566 
[INFO] 2020-09-17 15:24:40 > Step:    7800 Progress: 7.8% Elapsed: 1:39:12 temperature: no ada_p: No Discriminator_loss: 1.56447 Generator_loss: 0.246823 
[INFO] 2020-09-17 15:25:53 > Step:    7900 Progress: 7.9% Elapsed: 1:40:25 temperature: no ada_p: No Discriminator_loss: 1.01106 Generator_loss: 0.398594 
[INFO] 2020-09-17 15:27:05 > Step:    8000 Progress: 8.0% Elapsed: 1:41:37 temperature: no ada_p: No Discriminator_loss: 1.51164 Generator_loss: 0.394484 
[INFO] 2020-09-17 15:27:05 > Start Evaluation (8000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:29:11 > F_8 score (Step: 8000, Using test images): 0.9302097376705082
[INFO] 2020-09-17 15:29:11 > F_1/8 score (Step: 8000, Using test images): 0.9235500128293945
[INFO] 2020-09-17 15:29:11 > FID score (Step: 8000, Using test moments): 30.976333460531805
[INFO] 2020-09-17 15:29:11 > Inception score (Step: 8000, 10000 generated images): 7.850636005401611
[INFO] 2020-09-17 15:29:11 > Best FID score (Step: 8000, Using test moments): 30.976333460531805
[INFO] 2020-09-17 15:29:16 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:30:27 > Step:    8100 Progress: 8.1% Elapsed: 1:44:58 temperature: no ada_p: No Discriminator_loss: 1.31468 Generator_loss: 0.238022 
[INFO] 2020-09-17 15:31:39 > Step:    8200 Progress: 8.2% Elapsed: 1:46:10 temperature: no ada_p: No Discriminator_loss: 1.37115 Generator_loss: 0.486803 
[INFO] 2020-09-17 15:32:51 > Step:    8300 Progress: 8.3% Elapsed: 1:47:22 temperature: no ada_p: No Discriminator_loss: 1.48014 Generator_loss: -0.148676 
[INFO] 2020-09-17 15:34:02 > Step:    8400 Progress: 8.4% Elapsed: 1:48:33 temperature: no ada_p: No Discriminator_loss: 1.41569 Generator_loss: 0.874859 
[INFO] 2020-09-17 15:35:15 > Step:    8500 Progress: 8.5% Elapsed: 1:49:46 temperature: no ada_p: No Discriminator_loss: 1.13414 Generator_loss: 0.401436 
[INFO] 2020-09-17 15:36:27 > Step:    8600 Progress: 8.6% Elapsed: 1:50:58 temperature: no ada_p: No Discriminator_loss: 1.27965 Generator_loss: 1.05042 
[INFO] 2020-09-17 15:37:38 > Step:    8700 Progress: 8.7% Elapsed: 1:52:10 temperature: no ada_p: No Discriminator_loss: 1.53546 Generator_loss: 0.220673 
[INFO] 2020-09-17 15:38:50 > Step:    8800 Progress: 8.8% Elapsed: 1:53:21 temperature: no ada_p: No Discriminator_loss: 1.6238 Generator_loss: -0.00443371 
[INFO] 2020-09-17 15:40:03 > Step:    8900 Progress: 8.9% Elapsed: 1:54:34 temperature: no ada_p: No Discriminator_loss: 1.31528 Generator_loss: 0.716877 
[INFO] 2020-09-17 15:41:14 > Step:    9000 Progress: 9.0% Elapsed: 1:55:46 temperature: no ada_p: No Discriminator_loss: 1.601 Generator_loss: 0.399307 
[INFO] 2020-09-17 15:42:25 > Step:    9100 Progress: 9.1% Elapsed: 1:56:57 temperature: no ada_p: No Discriminator_loss: 1.66651 Generator_loss: 0.329275 
[INFO] 2020-09-17 15:43:37 > Step:    9200 Progress: 9.2% Elapsed: 1:58:08 temperature: no ada_p: No Discriminator_loss: 1.42807 Generator_loss: 0.36507 
[INFO] 2020-09-17 15:44:48 > Step:    9300 Progress: 9.3% Elapsed: 1:59:19 temperature: no ada_p: No Discriminator_loss: 1.4297 Generator_loss: 0.39255 
[INFO] 2020-09-17 15:45:59 > Step:    9400 Progress: 9.4% Elapsed: 2:00:31 temperature: no ada_p: No Discriminator_loss: 1.33767 Generator_loss: 0.38298 
[INFO] 2020-09-17 15:47:11 > Step:    9500 Progress: 9.5% Elapsed: 2:01:42 temperature: no ada_p: No Discriminator_loss: 1.5109 Generator_loss: 0.536065 
[INFO] 2020-09-17 15:48:22 > Step:    9600 Progress: 9.6% Elapsed: 2:02:53 temperature: no ada_p: No Discriminator_loss: 1.57639 Generator_loss: 0.206354 
[INFO] 2020-09-17 15:49:33 > Step:    9700 Progress: 9.7% Elapsed: 2:04:05 temperature: no ada_p: No Discriminator_loss: 1.55339 Generator_loss: 0.25142 
[INFO] 2020-09-17 15:50:46 > Step:    9800 Progress: 9.8% Elapsed: 2:05:17 temperature: no ada_p: No Discriminator_loss: 1.58602 Generator_loss: 0.305053 
[INFO] 2020-09-17 15:51:57 > Step:    9900 Progress: 9.9% Elapsed: 2:06:29 temperature: no ada_p: No Discriminator_loss: 1.51135 Generator_loss: 0.537518 
[INFO] 2020-09-17 15:53:09 > Step:   10000 Progress: 10.0% Elapsed: 2:07:41 temperature: no ada_p: No Discriminator_loss: 1.40003 Generator_loss: -0.0452105 
[INFO] 2020-09-17 15:53:10 > Start Evaluation (10000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:55:14 > F_8 score (Step: 10000, Using test images): 0.953206605059026
[INFO] 2020-09-17 15:55:14 > F_1/8 score (Step: 10000, Using test images): 0.9617813224883822
[INFO] 2020-09-17 15:55:14 > FID score (Step: 10000, Using test moments): 25.20224644436678
[INFO] 2020-09-17 15:55:14 > Inception score (Step: 10000, 10000 generated images): 8.11361312866211
[INFO] 2020-09-17 15:55:14 > Best FID score (Step: 10000, Using test moments): 25.20224644436678
[INFO] 2020-09-17 15:55:18 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 15:56:24 > Step:   10100 Progress: 10.1% Elapsed: 2:10:55 temperature: no ada_p: No Discriminator_loss: 1.72809 Generator_loss: 0.442514 
[INFO] 2020-09-17 15:57:33 > Step:   10200 Progress: 10.2% Elapsed: 2:12:04 temperature: no ada_p: No Discriminator_loss: 1.45682 Generator_loss: 0.582861 
[INFO] 2020-09-17 15:58:44 > Step:   10300 Progress: 10.3% Elapsed: 2:13:15 temperature: no ada_p: No Discriminator_loss: 1.50013 Generator_loss: 0.361497 
[INFO] 2020-09-17 15:59:54 > Step:   10400 Progress: 10.4% Elapsed: 2:14:25 temperature: no ada_p: No Discriminator_loss: 1.6502 Generator_loss: 0.0235617 
[INFO] 2020-09-17 16:01:06 > Step:   10500 Progress: 10.5% Elapsed: 2:15:37 temperature: no ada_p: No Discriminator_loss: 1.40771 Generator_loss: -0.11579 
[INFO] 2020-09-17 16:02:16 > Step:   10600 Progress: 10.6% Elapsed: 2:16:48 temperature: no ada_p: No Discriminator_loss: 1.46849 Generator_loss: 0.304758 
[INFO] 2020-09-17 16:03:29 > Step:   10700 Progress: 10.7% Elapsed: 2:18:00 temperature: no ada_p: No Discriminator_loss: 1.60124 Generator_loss: 0.461324 
[INFO] 2020-09-17 16:04:42 > Step:   10800 Progress: 10.8% Elapsed: 2:19:13 temperature: no ada_p: No Discriminator_loss: 1.32843 Generator_loss: 0.403184 
[INFO] 2020-09-17 16:05:52 > Step:   10900 Progress: 10.9% Elapsed: 2:20:23 temperature: no ada_p: No Discriminator_loss: 1.58448 Generator_loss: 0.105384 
[INFO] 2020-09-17 16:07:03 > Step:   11000 Progress: 11.0% Elapsed: 2:21:34 temperature: no ada_p: No Discriminator_loss: 1.47698 Generator_loss: 1.03977 
[INFO] 2020-09-17 16:08:15 > Step:   11100 Progress: 11.1% Elapsed: 2:22:46 temperature: no ada_p: No Discriminator_loss: 1.66633 Generator_loss: 0.400235 
[INFO] 2020-09-17 16:09:26 > Step:   11200 Progress: 11.2% Elapsed: 2:23:58 temperature: no ada_p: No Discriminator_loss: 1.32806 Generator_loss: 0.346334 
[INFO] 2020-09-17 16:10:38 > Step:   11300 Progress: 11.3% Elapsed: 2:25:09 temperature: no ada_p: No Discriminator_loss: 1.40961 Generator_loss: -0.360529 
[INFO] 2020-09-17 16:11:49 > Step:   11400 Progress: 11.4% Elapsed: 2:26:20 temperature: no ada_p: No Discriminator_loss: 1.5551 Generator_loss: 0.355109 
[INFO] 2020-09-17 16:13:01 > Step:   11500 Progress: 11.5% Elapsed: 2:27:32 temperature: no ada_p: No Discriminator_loss: 1.48041 Generator_loss: 0.241924 
[INFO] 2020-09-17 16:14:11 > Step:   11600 Progress: 11.6% Elapsed: 2:28:43 temperature: no ada_p: No Discriminator_loss: 1.32989 Generator_loss: 0.509212 
[INFO] 2020-09-17 16:15:23 > Step:   11700 Progress: 11.7% Elapsed: 2:29:54 temperature: no ada_p: No Discriminator_loss: 1.44834 Generator_loss: 0.291176 
[INFO] 2020-09-17 16:16:34 > Step:   11800 Progress: 11.8% Elapsed: 2:31:05 temperature: no ada_p: No Discriminator_loss: 1.38466 Generator_loss: 0.280824 
[INFO] 2020-09-17 16:17:46 > Step:   11900 Progress: 11.9% Elapsed: 2:32:18 temperature: no ada_p: No Discriminator_loss: 1.66081 Generator_loss: -0.0283898 
[INFO] 2020-09-17 16:18:57 > Step:   12000 Progress: 12.0% Elapsed: 2:33:28 temperature: no ada_p: No Discriminator_loss: 1.46679 Generator_loss: 0.116619 
[INFO] 2020-09-17 16:18:57 > Start Evaluation (12000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 16:21:06 > F_8 score (Step: 12000, Using test images): 0.9714659500995292
[INFO] 2020-09-17 16:21:06 > F_1/8 score (Step: 12000, Using test images): 0.9682580601449128
[INFO] 2020-09-17 16:21:06 > FID score (Step: 12000, Using test moments): 21.383455202156767
[INFO] 2020-09-17 16:21:06 > Inception score (Step: 12000, 10000 generated images): 8.554533004760742
[INFO] 2020-09-17 16:21:06 > Best FID score (Step: 12000, Using test moments): 21.383455202156767
[INFO] 2020-09-17 16:21:10 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 16:22:22 > Step:   12100 Progress: 12.1% Elapsed: 2:36:54 temperature: no ada_p: No Discriminator_loss: 1.6296 Generator_loss: -0.0358893 
[INFO] 2020-09-17 16:23:34 > Step:   12200 Progress: 12.2% Elapsed: 2:38:06 temperature: no ada_p: No Discriminator_loss: 1.5333 Generator_loss: 0.297195 
[INFO] 2020-09-17 16:24:45 > Step:   12300 Progress: 12.3% Elapsed: 2:39:17 temperature: no ada_p: No Discriminator_loss: 1.23847 Generator_loss: 0.929223 
[INFO] 2020-09-17 16:25:56 > Step:   12400 Progress: 12.4% Elapsed: 2:40:28 temperature: no ada_p: No Discriminator_loss: 1.48436 Generator_loss: 0.305977 
[INFO] 2020-09-17 16:27:08 > Step:   12500 Progress: 12.5% Elapsed: 2:41:39 temperature: no ada_p: No Discriminator_loss: 1.29606 Generator_loss: 0.357584 
[INFO] 2020-09-17 16:28:19 > Step:   12600 Progress: 12.6% Elapsed: 2:42:51 temperature: no ada_p: No Discriminator_loss: 1.66953 Generator_loss: 0.0585795 
[INFO] 2020-09-17 16:29:31 > Step:   12700 Progress: 12.7% Elapsed: 2:44:02 temperature: no ada_p: No Discriminator_loss: 1.59403 Generator_loss: 0.322059 
[INFO] 2020-09-17 16:30:42 > Step:   12800 Progress: 12.8% Elapsed: 2:45:14 temperature: no ada_p: No Discriminator_loss: 1.63832 Generator_loss: 0.745524 
[INFO] 2020-09-17 16:31:55 > Step:   12900 Progress: 12.9% Elapsed: 2:46:26 temperature: no ada_p: No Discriminator_loss: 1.50627 Generator_loss: 0.588462 
[INFO] 2020-09-17 16:33:06 > Step:   13000 Progress: 13.0% Elapsed: 2:47:37 temperature: no ada_p: No Discriminator_loss: 1.49207 Generator_loss: 0.545276 
[INFO] 2020-09-17 16:34:17 > Step:   13100 Progress: 13.1% Elapsed: 2:48:48 temperature: no ada_p: No Discriminator_loss: 1.42822 Generator_loss: 0.498398 
[INFO] 2020-09-17 16:35:28 > Step:   13200 Progress: 13.2% Elapsed: 2:49:59 temperature: no ada_p: No Discriminator_loss: 1.52915 Generator_loss: 0.409994 
[INFO] 2020-09-17 16:36:40 > Step:   13300 Progress: 13.3% Elapsed: 2:51:11 temperature: no ada_p: No Discriminator_loss: 1.56854 Generator_loss: 0.307873 
[INFO] 2020-09-17 16:37:50 > Step:   13400 Progress: 13.4% Elapsed: 2:52:21 temperature: no ada_p: No Discriminator_loss: 1.56924 Generator_loss: 0.206066 
[INFO] 2020-09-17 16:38:55 > Step:   13500 Progress: 13.5% Elapsed: 2:53:26 temperature: no ada_p: No Discriminator_loss: 1.41842 Generator_loss: 0.716223 
[INFO] 2020-09-17 16:40:01 > Step:   13600 Progress: 13.6% Elapsed: 2:54:32 temperature: no ada_p: No Discriminator_loss: 1.50505 Generator_loss: 0.23183 
[INFO] 2020-09-17 16:41:11 > Step:   13700 Progress: 13.7% Elapsed: 2:55:42 temperature: no ada_p: No Discriminator_loss: 1.30941 Generator_loss: 0.707826 
[INFO] 2020-09-17 16:42:22 > Step:   13800 Progress: 13.8% Elapsed: 2:56:53 temperature: no ada_p: No Discriminator_loss: 1.45383 Generator_loss: 0.591075 
[INFO] 2020-09-17 16:43:32 > Step:   13900 Progress: 13.9% Elapsed: 2:58:04 temperature: no ada_p: No Discriminator_loss: 1.57044 Generator_loss: 0.382011 
[INFO] 2020-09-17 16:44:44 > Step:   14000 Progress: 14.0% Elapsed: 2:59:15 temperature: no ada_p: No Discriminator_loss: 1.37548 Generator_loss: 0.22015 
[INFO] 2020-09-17 16:44:44 > Start Evaluation (14000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 16:46:53 > F_8 score (Step: 14000, Using test images): 0.9719727686758123
[INFO] 2020-09-17 16:46:53 > F_1/8 score (Step: 14000, Using test images): 0.973703306586777
[INFO] 2020-09-17 16:46:53 > FID score (Step: 14000, Using test moments): 18.270319629596997
[INFO] 2020-09-17 16:46:53 > Inception score (Step: 14000, 10000 generated images): 9.116070747375488
[INFO] 2020-09-17 16:46:53 > Best FID score (Step: 14000, Using test moments): 18.270319629596997
[INFO] 2020-09-17 16:46:58 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 16:48:09 > Step:   14100 Progress: 14.1% Elapsed: 3:02:40 temperature: no ada_p: No Discriminator_loss: 1.47663 Generator_loss: 0.10831 
[INFO] 2020-09-17 16:49:22 > Step:   14200 Progress: 14.2% Elapsed: 3:03:53 temperature: no ada_p: No Discriminator_loss: 1.49906 Generator_loss: 0.755516 
[INFO] 2020-09-17 16:50:34 > Step:   14300 Progress: 14.3% Elapsed: 3:05:06 temperature: no ada_p: No Discriminator_loss: 1.52532 Generator_loss: 0.637635 
[INFO] 2020-09-17 16:51:46 > Step:   14400 Progress: 14.4% Elapsed: 3:06:17 temperature: no ada_p: No Discriminator_loss: 1.41619 Generator_loss: 0.423791 
[INFO] 2020-09-17 16:52:57 > Step:   14500 Progress: 14.5% Elapsed: 3:07:28 temperature: no ada_p: No Discriminator_loss: 1.4244 Generator_loss: -0.157914 
[INFO] 2020-09-17 16:54:08 > Step:   14600 Progress: 14.6% Elapsed: 3:08:39 temperature: no ada_p: No Discriminator_loss: 1.44354 Generator_loss: 0.507478 
[INFO] 2020-09-17 16:55:19 > Step:   14700 Progress: 14.7% Elapsed: 3:09:50 temperature: no ada_p: No Discriminator_loss: 1.5177 Generator_loss: 0.136527 
[INFO] 2020-09-17 16:56:31 > Step:   14800 Progress: 14.8% Elapsed: 3:11:02 temperature: no ada_p: No Discriminator_loss: 1.59632 Generator_loss: 0.0135427 
[INFO] 2020-09-17 16:57:42 > Step:   14900 Progress: 14.9% Elapsed: 3:12:14 temperature: no ada_p: No Discriminator_loss: 1.57072 Generator_loss: 0.234305 
[INFO] 2020-09-17 16:58:55 > Step:   15000 Progress: 15.0% Elapsed: 3:13:26 temperature: no ada_p: No Discriminator_loss: 1.36796 Generator_loss: 0.341821 
[INFO] 2020-09-17 17:00:08 > Step:   15100 Progress: 15.1% Elapsed: 3:14:39 temperature: no ada_p: No Discriminator_loss: 1.36493 Generator_loss: 0.678431 
[INFO] 2020-09-17 17:01:19 > Step:   15200 Progress: 15.2% Elapsed: 3:15:50 temperature: no ada_p: No Discriminator_loss: 1.55135 Generator_loss: 0.354992 
[INFO] 2020-09-17 17:02:31 > Step:   15300 Progress: 15.3% Elapsed: 3:17:02 temperature: no ada_p: No Discriminator_loss: 1.54223 Generator_loss: 0.120086 
[INFO] 2020-09-17 17:03:42 > Step:   15400 Progress: 15.4% Elapsed: 3:18:13 temperature: no ada_p: No Discriminator_loss: 1.61082 Generator_loss: 0.290922 
[INFO] 2020-09-17 17:04:54 > Step:   15500 Progress: 15.5% Elapsed: 3:19:25 temperature: no ada_p: No Discriminator_loss: 1.59868 Generator_loss: 0.18417 
[INFO] 2020-09-17 17:06:05 > Step:   15600 Progress: 15.6% Elapsed: 3:20:36 temperature: no ada_p: No Discriminator_loss: 1.44415 Generator_loss: 0.485223 
[INFO] 2020-09-17 17:07:16 > Step:   15700 Progress: 15.7% Elapsed: 3:21:47 temperature: no ada_p: No Discriminator_loss: 1.49153 Generator_loss: 0.261382 
[INFO] 2020-09-17 17:08:28 > Step:   15800 Progress: 15.8% Elapsed: 3:23:00 temperature: no ada_p: No Discriminator_loss: 1.40754 Generator_loss: 0.6524 
[INFO] 2020-09-17 17:09:40 > Step:   15900 Progress: 15.9% Elapsed: 3:24:11 temperature: no ada_p: No Discriminator_loss: 1.59477 Generator_loss: 0.213258 
[INFO] 2020-09-17 17:10:51 > Step:   16000 Progress: 16.0% Elapsed: 3:25:22 temperature: no ada_p: No Discriminator_loss: 1.42846 Generator_loss: 0.985399 
[INFO] 2020-09-17 17:10:51 > Start Evaluation (16000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 17:12:59 > F_8 score (Step: 16000, Using test images): 0.9723123864371661
[INFO] 2020-09-17 17:12:59 > F_1/8 score (Step: 16000, Using test images): 0.977569254330248
[INFO] 2020-09-17 17:12:59 > FID score (Step: 16000, Using test moments): 16.30460060352044
[INFO] 2020-09-17 17:12:59 > Inception score (Step: 16000, 10000 generated images): 9.09822940826416
[INFO] 2020-09-17 17:12:59 > Best FID score (Step: 16000, Using test moments): 16.30460060352044
[INFO] 2020-09-17 17:13:03 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 17:14:15 > Step:   16100 Progress: 16.1% Elapsed: 3:28:46 temperature: no ada_p: No Discriminator_loss: 1.43369 Generator_loss: 0.682718 
[INFO] 2020-09-17 17:15:26 > Step:   16200 Progress: 16.2% Elapsed: 3:29:58 temperature: no ada_p: No Discriminator_loss: 1.64122 Generator_loss: 0.00278701 
[INFO] 2020-09-17 17:16:39 > Step:   16300 Progress: 16.3% Elapsed: 3:31:10 temperature: no ada_p: No Discriminator_loss: 1.23837 Generator_loss: 0.671432 
[INFO] 2020-09-17 17:17:51 > Step:   16400 Progress: 16.4% Elapsed: 3:32:22 temperature: no ada_p: No Discriminator_loss: 1.45631 Generator_loss: 0.231972 
[INFO] 2020-09-17 17:19:03 > Step:   16500 Progress: 16.5% Elapsed: 3:33:34 temperature: no ada_p: No Discriminator_loss: 1.39457 Generator_loss: 0.370137 
[INFO] 2020-09-17 17:20:15 > Step:   16600 Progress: 16.6% Elapsed: 3:34:46 temperature: no ada_p: No Discriminator_loss: 1.46335 Generator_loss: 0.322831 
[INFO] 2020-09-17 17:21:25 > Step:   16700 Progress: 16.7% Elapsed: 3:35:56 temperature: no ada_p: No Discriminator_loss: 1.56371 Generator_loss: 0.523179 
[INFO] 2020-09-17 17:22:30 > Step:   16800 Progress: 16.8% Elapsed: 3:37:02 temperature: no ada_p: No Discriminator_loss: 1.56273 Generator_loss: 0.116843 
[INFO] 2020-09-17 17:23:37 > Step:   16900 Progress: 16.9% Elapsed: 3:38:09 temperature: no ada_p: No Discriminator_loss: 1.39904 Generator_loss: 0.435112 
[INFO] 2020-09-17 17:24:48 > Step:   17000 Progress: 17.0% Elapsed: 3:39:19 temperature: no ada_p: No Discriminator_loss: 1.51913 Generator_loss: 0.232021 
[INFO] 2020-09-17 17:25:58 > Step:   17100 Progress: 17.1% Elapsed: 3:40:29 temperature: no ada_p: No Discriminator_loss: 1.5511 Generator_loss: 0.361319 
[INFO] 2020-09-17 17:27:09 > Step:   17200 Progress: 17.2% Elapsed: 3:41:40 temperature: no ada_p: No Discriminator_loss: 1.39554 Generator_loss: 0.255088 
[INFO] 2020-09-17 17:28:20 > Step:   17300 Progress: 17.3% Elapsed: 3:42:51 temperature: no ada_p: No Discriminator_loss: 1.70317 Generator_loss: 0.127243 
[INFO] 2020-09-17 17:29:30 > Step:   17400 Progress: 17.4% Elapsed: 3:44:02 temperature: no ada_p: No Discriminator_loss: 1.58289 Generator_loss: 0.24567 
[INFO] 2020-09-17 17:30:41 > Step:   17500 Progress: 17.5% Elapsed: 3:45:12 temperature: no ada_p: No Discriminator_loss: 1.62547 Generator_loss: 0.0530783 
[INFO] 2020-09-17 17:31:53 > Step:   17600 Progress: 17.6% Elapsed: 3:46:24 temperature: no ada_p: No Discriminator_loss: 1.44482 Generator_loss: -0.160273 
[INFO] 2020-09-17 17:33:04 > Step:   17700 Progress: 17.7% Elapsed: 3:47:35 temperature: no ada_p: No Discriminator_loss: 1.6312 Generator_loss: 0.682021 
[INFO] 2020-09-17 17:34:15 > Step:   17800 Progress: 17.8% Elapsed: 3:48:46 temperature: no ada_p: No Discriminator_loss: 1.41694 Generator_loss: 0.192602 
[INFO] 2020-09-17 17:35:27 > Step:   17900 Progress: 17.9% Elapsed: 3:49:58 temperature: no ada_p: No Discriminator_loss: 1.53323 Generator_loss: 0.11663 
[INFO] 2020-09-17 17:36:39 > Step:   18000 Progress: 18.0% Elapsed: 3:51:11 temperature: no ada_p: No Discriminator_loss: 1.51032 Generator_loss: 0.406228 
[INFO] 2020-09-17 17:36:39 > Start Evaluation (18000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 17:38:46 > F_8 score (Step: 18000, Using test images): 0.9828324373276783
[INFO] 2020-09-17 17:38:46 > F_1/8 score (Step: 18000, Using test images): 0.9832266004799383
[INFO] 2020-09-17 17:38:46 > FID score (Step: 18000, Using test moments): 14.730609140715046
[INFO] 2020-09-17 17:38:46 > Inception score (Step: 18000, 10000 generated images): 9.292972564697266
[INFO] 2020-09-17 17:38:46 > Best FID score (Step: 18000, Using test moments): 14.730609140715046
[INFO] 2020-09-17 17:38:50 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 17:40:02 > Step:   18100 Progress: 18.1% Elapsed: 3:54:33 temperature: no ada_p: No Discriminator_loss: 1.56471 Generator_loss: -0.140308 
[INFO] 2020-09-17 17:41:13 > Step:   18200 Progress: 18.2% Elapsed: 3:55:45 temperature: no ada_p: No Discriminator_loss: 1.51719 Generator_loss: 0.441235 
[INFO] 2020-09-17 17:42:27 > Step:   18300 Progress: 18.3% Elapsed: 3:56:58 temperature: no ada_p: No Discriminator_loss: 1.42846 Generator_loss: 0.328766 
[INFO] 2020-09-17 17:43:39 > Step:   18400 Progress: 18.4% Elapsed: 3:58:10 temperature: no ada_p: No Discriminator_loss: 1.52813 Generator_loss: 0.352991 
[INFO] 2020-09-17 17:44:50 > Step:   18500 Progress: 18.5% Elapsed: 3:59:21 temperature: no ada_p: No Discriminator_loss: 1.42745 Generator_loss: 0.0226313 
[INFO] 2020-09-17 17:46:01 > Step:   18600 Progress: 18.6% Elapsed: 4:00:32 temperature: no ada_p: No Discriminator_loss: 1.46375 Generator_loss: 0.556961 
[INFO] 2020-09-17 17:47:12 > Step:   18700 Progress: 18.7% Elapsed: 4:01:44 temperature: no ada_p: No Discriminator_loss: 1.4371 Generator_loss: 1.19085 
[INFO] 2020-09-17 17:48:24 > Step:   18800 Progress: 18.8% Elapsed: 4:02:55 temperature: no ada_p: No Discriminator_loss: 1.60588 Generator_loss: 0.481844 
[INFO] 2020-09-17 17:49:36 > Step:   18900 Progress: 18.9% Elapsed: 4:04:07 temperature: no ada_p: No Discriminator_loss: 1.46723 Generator_loss: 0.227258 
[INFO] 2020-09-17 17:50:47 > Step:   19000 Progress: 19.0% Elapsed: 4:05:19 temperature: no ada_p: No Discriminator_loss: 1.54492 Generator_loss: 0.494487 
[INFO] 2020-09-17 17:52:01 > Step:   19100 Progress: 19.1% Elapsed: 4:06:32 temperature: no ada_p: No Discriminator_loss: 1.34556 Generator_loss: 0.565751 
[INFO] 2020-09-17 17:53:12 > Step:   19200 Progress: 19.2% Elapsed: 4:07:43 temperature: no ada_p: No Discriminator_loss: 1.50716 Generator_loss: 0.401964 
[INFO] 2020-09-17 17:54:23 > Step:   19300 Progress: 19.3% Elapsed: 4:08:54 temperature: no ada_p: No Discriminator_loss: 1.41587 Generator_loss: 0.529259 
[INFO] 2020-09-17 17:55:34 > Step:   19400 Progress: 19.4% Elapsed: 4:10:06 temperature: no ada_p: No Discriminator_loss: 1.56235 Generator_loss: -0.0110342 
[INFO] 2020-09-17 17:56:46 > Step:   19500 Progress: 19.5% Elapsed: 4:11:17 temperature: no ada_p: No Discriminator_loss: 1.61631 Generator_loss: -0.1779 
[INFO] 2020-09-17 17:57:57 > Step:   19600 Progress: 19.6% Elapsed: 4:12:28 temperature: no ada_p: No Discriminator_loss: 1.57053 Generator_loss: 0.118779 
[INFO] 2020-09-17 17:59:08 > Step:   19700 Progress: 19.7% Elapsed: 4:13:40 temperature: no ada_p: No Discriminator_loss: 1.54354 Generator_loss: 0.203906 
[INFO] 2020-09-17 18:00:20 > Step:   19800 Progress: 19.8% Elapsed: 4:14:51 temperature: no ada_p: No Discriminator_loss: 1.44179 Generator_loss: 0.324667 
[INFO] 2020-09-17 18:01:32 > Step:   19900 Progress: 19.9% Elapsed: 4:16:03 temperature: no ada_p: No Discriminator_loss: 1.47155 Generator_loss: 0.244157 
[INFO] 2020-09-17 18:02:44 > Step:   20000 Progress: 20.0% Elapsed: 4:17:15 temperature: no ada_p: No Discriminator_loss: 1.36035 Generator_loss: 0.710778 
[INFO] 2020-09-17 18:02:44 > Start Evaluation (20000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:04:50 > F_8 score (Step: 20000, Using test images): 0.9805624007997074
[INFO] 2020-09-17 18:04:50 > F_1/8 score (Step: 20000, Using test images): 0.98795380748223
[INFO] 2020-09-17 18:04:50 > FID score (Step: 20000, Using test moments): 13.615528558200253
[INFO] 2020-09-17 18:04:50 > Inception score (Step: 20000, 10000 generated images): 9.483187675476074
[INFO] 2020-09-17 18:04:50 > Best FID score (Step: 20000, Using test moments): 13.615528558200253
[INFO] 2020-09-17 18:04:55 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:06:00 > Step:   20100 Progress: 20.1% Elapsed: 4:20:31 temperature: no ada_p: No Discriminator_loss: 1.38001 Generator_loss: 0.672184 
[INFO] 2020-09-17 18:07:07 > Step:   20200 Progress: 20.2% Elapsed: 4:21:39 temperature: no ada_p: No Discriminator_loss: 1.5193 Generator_loss: -0.0214325 
[INFO] 2020-09-17 18:08:18 > Step:   20300 Progress: 20.3% Elapsed: 4:22:50 temperature: no ada_p: No Discriminator_loss: 1.5294 Generator_loss: 0.385001 
[INFO] 2020-09-17 18:09:30 > Step:   20400 Progress: 20.4% Elapsed: 4:24:02 temperature: no ada_p: No Discriminator_loss: 1.54406 Generator_loss: 0.210153 
[INFO] 2020-09-17 18:10:41 > Step:   20500 Progress: 20.5% Elapsed: 4:25:13 temperature: no ada_p: No Discriminator_loss: 1.47957 Generator_loss: 0.135905 
[INFO] 2020-09-17 18:11:52 > Step:   20600 Progress: 20.6% Elapsed: 4:26:23 temperature: no ada_p: No Discriminator_loss: 1.44717 Generator_loss: 0.680662 
[INFO] 2020-09-17 18:13:03 > Step:   20700 Progress: 20.7% Elapsed: 4:27:34 temperature: no ada_p: No Discriminator_loss: 1.35607 Generator_loss: 0.349127 
[INFO] 2020-09-17 18:14:15 > Step:   20800 Progress: 20.8% Elapsed: 4:28:46 temperature: no ada_p: No Discriminator_loss: 1.19295 Generator_loss: 0.415024 
[INFO] 2020-09-17 18:15:27 > Step:   20900 Progress: 20.9% Elapsed: 4:29:58 temperature: no ada_p: No Discriminator_loss: 1.51026 Generator_loss: 0.528986 
[INFO] 2020-09-17 18:16:39 > Step:   21000 Progress: 21.0% Elapsed: 4:31:10 temperature: no ada_p: No Discriminator_loss: 1.33093 Generator_loss: 0.402061 
[INFO] 2020-09-17 18:17:51 > Step:   21100 Progress: 21.1% Elapsed: 4:32:22 temperature: no ada_p: No Discriminator_loss: 1.41284 Generator_loss: 0.558209 
[INFO] 2020-09-17 18:19:03 > Step:   21200 Progress: 21.2% Elapsed: 4:33:34 temperature: no ada_p: No Discriminator_loss: 1.4549 Generator_loss: 0.719889 
[INFO] 2020-09-17 18:20:15 > Step:   21300 Progress: 21.3% Elapsed: 4:34:46 temperature: no ada_p: No Discriminator_loss: 1.57075 Generator_loss: 0.199769 
[INFO] 2020-09-17 18:21:28 > Step:   21400 Progress: 21.4% Elapsed: 4:35:59 temperature: no ada_p: No Discriminator_loss: 1.3189 Generator_loss: 0.668653 
[INFO] 2020-09-17 18:22:39 > Step:   21500 Progress: 21.5% Elapsed: 4:37:10 temperature: no ada_p: No Discriminator_loss: 1.44057 Generator_loss: 0.51312 
[INFO] 2020-09-17 18:23:49 > Step:   21600 Progress: 21.6% Elapsed: 4:38:20 temperature: no ada_p: No Discriminator_loss: 1.71153 Generator_loss: 0.167227 
[INFO] 2020-09-17 18:25:01 > Step:   21700 Progress: 21.7% Elapsed: 4:39:32 temperature: no ada_p: No Discriminator_loss: 1.54606 Generator_loss: 0.528139 
[INFO] 2020-09-17 18:26:13 > Step:   21800 Progress: 21.8% Elapsed: 4:40:44 temperature: no ada_p: No Discriminator_loss: 1.42263 Generator_loss: 0.607929 
[INFO] 2020-09-17 18:27:24 > Step:   21900 Progress: 21.9% Elapsed: 4:41:55 temperature: no ada_p: No Discriminator_loss: 1.50114 Generator_loss: 0.422861 
[INFO] 2020-09-17 18:28:36 > Step:   22000 Progress: 22.0% Elapsed: 4:43:07 temperature: no ada_p: No Discriminator_loss: 1.36176 Generator_loss: 0.400043 
[INFO] 2020-09-17 18:28:36 > Start Evaluation (22000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:30:44 > F_8 score (Step: 22000, Using test images): 0.9876919783666942
[INFO] 2020-09-17 18:30:44 > F_1/8 score (Step: 22000, Using test images): 0.9869671855897147
[INFO] 2020-09-17 18:30:44 > FID score (Step: 22000, Using test moments): 12.545340739742755
[INFO] 2020-09-17 18:30:44 > Inception score (Step: 22000, 10000 generated images): 9.671494483947754
[INFO] 2020-09-17 18:30:44 > Best FID score (Step: 22000, Using test moments): 12.545340739742755
[INFO] 2020-09-17 18:30:49 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:32:00 > Step:   22100 Progress: 22.1% Elapsed: 4:46:31 temperature: no ada_p: No Discriminator_loss: 1.44965 Generator_loss: 0.725002 
[INFO] 2020-09-17 18:33:11 > Step:   22200 Progress: 22.2% Elapsed: 4:47:42 temperature: no ada_p: No Discriminator_loss: 1.48032 Generator_loss: 0.372966 
[INFO] 2020-09-17 18:34:23 > Step:   22300 Progress: 22.3% Elapsed: 4:48:54 temperature: no ada_p: No Discriminator_loss: 1.4604 Generator_loss: -0.00980133 
[INFO] 2020-09-17 18:35:33 > Step:   22400 Progress: 22.4% Elapsed: 4:50:05 temperature: no ada_p: No Discriminator_loss: 1.50451 Generator_loss: 0.375256 
[INFO] 2020-09-17 18:36:45 > Step:   22500 Progress: 22.5% Elapsed: 4:51:17 temperature: no ada_p: No Discriminator_loss: 1.58404 Generator_loss: 0.305349 
[INFO] 2020-09-17 18:37:56 > Step:   22600 Progress: 22.6% Elapsed: 4:52:27 temperature: no ada_p: No Discriminator_loss: 1.51722 Generator_loss: 0.302602 
[INFO] 2020-09-17 18:39:07 > Step:   22700 Progress: 22.7% Elapsed: 4:53:38 temperature: no ada_p: No Discriminator_loss: 1.50939 Generator_loss: 0.308203 
[INFO] 2020-09-17 18:40:18 > Step:   22800 Progress: 22.8% Elapsed: 4:54:49 temperature: no ada_p: No Discriminator_loss: 1.30787 Generator_loss: 0.756271 
[INFO] 2020-09-17 18:41:29 > Step:   22900 Progress: 22.9% Elapsed: 4:56:00 temperature: no ada_p: No Discriminator_loss: 1.41722 Generator_loss: 0.354494 
[INFO] 2020-09-17 18:42:39 > Step:   23000 Progress: 23.0% Elapsed: 4:57:10 temperature: no ada_p: No Discriminator_loss: 1.50256 Generator_loss: 0.466309 
[INFO] 2020-09-17 18:43:50 > Step:   23100 Progress: 23.1% Elapsed: 4:58:21 temperature: no ada_p: No Discriminator_loss: 1.71914 Generator_loss: 0.388725 
[INFO] 2020-09-17 18:45:00 > Step:   23200 Progress: 23.2% Elapsed: 4:59:32 temperature: no ada_p: No Discriminator_loss: 1.61406 Generator_loss: 0.0683196 
[INFO] 2020-09-17 18:46:10 > Step:   23300 Progress: 23.3% Elapsed: 5:00:42 temperature: no ada_p: No Discriminator_loss: 1.43776 Generator_loss: -0.137926 
[INFO] 2020-09-17 18:47:22 > Step:   23400 Progress: 23.4% Elapsed: 5:01:53 temperature: no ada_p: No Discriminator_loss: 1.46925 Generator_loss: 0.139635 
[INFO] 2020-09-17 18:48:30 > Step:   23500 Progress: 23.5% Elapsed: 5:03:01 temperature: no ada_p: No Discriminator_loss: 1.42187 Generator_loss: 0.837302 
[INFO] 2020-09-17 18:49:36 > Step:   23600 Progress: 23.6% Elapsed: 5:04:07 temperature: no ada_p: No Discriminator_loss: 1.5073 Generator_loss: 0.287573 
[INFO] 2020-09-17 18:50:45 > Step:   23700 Progress: 23.7% Elapsed: 5:05:17 temperature: no ada_p: No Discriminator_loss: 1.55304 Generator_loss: 0.00909415 
[INFO] 2020-09-17 18:51:57 > Step:   23800 Progress: 23.8% Elapsed: 5:06:28 temperature: no ada_p: No Discriminator_loss: 1.6251 Generator_loss: 0.409635 
[INFO] 2020-09-17 18:53:09 > Step:   23900 Progress: 23.9% Elapsed: 5:07:41 temperature: no ada_p: No Discriminator_loss: 1.50925 Generator_loss: 0.412859 
[INFO] 2020-09-17 18:54:20 > Step:   24000 Progress: 24.0% Elapsed: 5:08:51 temperature: no ada_p: No Discriminator_loss: 1.77991 Generator_loss: -0.272414 
[INFO] 2020-09-17 18:54:20 > Start Evaluation (24000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:56:26 > F_8 score (Step: 24000, Using test images): 0.9835231246346003
[INFO] 2020-09-17 18:56:26 > F_1/8 score (Step: 24000, Using test images): 0.9887395017278283
[INFO] 2020-09-17 18:56:26 > FID score (Step: 24000, Using test moments): 12.04021173719434
[INFO] 2020-09-17 18:56:26 > Inception score (Step: 24000, 10000 generated images): 9.691828727722168
[INFO] 2020-09-17 18:56:26 > Best FID score (Step: 24000, Using test moments): 12.04021173719434
[INFO] 2020-09-17 18:56:30 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 18:57:40 > Step:   24100 Progress: 24.1% Elapsed: 5:12:12 temperature: no ada_p: No Discriminator_loss: 1.53605 Generator_loss: 0.698012 
[INFO] 2020-09-17 18:58:51 > Step:   24200 Progress: 24.2% Elapsed: 5:13:23 temperature: no ada_p: No Discriminator_loss: 1.50344 Generator_loss: 0.185513 
[INFO] 2020-09-17 19:00:03 > Step:   24300 Progress: 24.3% Elapsed: 5:14:35 temperature: no ada_p: No Discriminator_loss: 1.43287 Generator_loss: 0.617455 
[INFO] 2020-09-17 19:01:14 > Step:   24400 Progress: 24.4% Elapsed: 5:15:45 temperature: no ada_p: No Discriminator_loss: 1.30639 Generator_loss: 0.81319 
[INFO] 2020-09-17 19:02:25 > Step:   24500 Progress: 24.5% Elapsed: 5:16:57 temperature: no ada_p: No Discriminator_loss: 1.62986 Generator_loss: -0.0851216 
[INFO] 2020-09-17 19:03:37 > Step:   24600 Progress: 24.6% Elapsed: 5:18:08 temperature: no ada_p: No Discriminator_loss: 1.57012 Generator_loss: 0.841938 
[INFO] 2020-09-17 19:04:48 > Step:   24700 Progress: 24.7% Elapsed: 5:19:20 temperature: no ada_p: No Discriminator_loss: 1.4795 Generator_loss: 0.354694 
[INFO] 2020-09-17 19:05:59 > Step:   24800 Progress: 24.8% Elapsed: 5:20:30 temperature: no ada_p: No Discriminator_loss: 1.47669 Generator_loss: 0.129804 
[INFO] 2020-09-17 19:07:10 > Step:   24900 Progress: 24.9% Elapsed: 5:21:42 temperature: no ada_p: No Discriminator_loss: 1.64606 Generator_loss: 0.180121 
[INFO] 2020-09-17 19:08:22 > Step:   25000 Progress: 25.0% Elapsed: 5:22:53 temperature: no ada_p: No Discriminator_loss: 1.58586 Generator_loss: -0.290729 
[INFO] 2020-09-17 19:09:33 > Step:   25100 Progress: 25.1% Elapsed: 5:24:04 temperature: no ada_p: No Discriminator_loss: 1.62333 Generator_loss: 0.0379861 
[INFO] 2020-09-17 19:10:44 > Step:   25200 Progress: 25.2% Elapsed: 5:25:16 temperature: no ada_p: No Discriminator_loss: 1.65965 Generator_loss: -0.0532822 
[INFO] 2020-09-17 19:11:56 > Step:   25300 Progress: 25.3% Elapsed: 5:26:27 temperature: no ada_p: No Discriminator_loss: 1.58956 Generator_loss: 0.484852 
[INFO] 2020-09-17 19:13:07 > Step:   25400 Progress: 25.4% Elapsed: 5:27:38 temperature: no ada_p: No Discriminator_loss: 1.39024 Generator_loss: 0.958191 
[INFO] 2020-09-17 19:14:18 > Step:   25500 Progress: 25.5% Elapsed: 5:28:49 temperature: no ada_p: No Discriminator_loss: 1.4761 Generator_loss: 0.263489 
[INFO] 2020-09-17 19:15:30 > Step:   25600 Progress: 25.6% Elapsed: 5:30:02 temperature: no ada_p: No Discriminator_loss: 1.45886 Generator_loss: 0.744763 
[INFO] 2020-09-17 19:16:42 > Step:   25700 Progress: 25.7% Elapsed: 5:31:13 temperature: no ada_p: No Discriminator_loss: 1.42451 Generator_loss: 0.0300996 
[INFO] 2020-09-17 19:17:53 > Step:   25800 Progress: 25.8% Elapsed: 5:32:25 temperature: no ada_p: No Discriminator_loss: 1.47169 Generator_loss: 0.806823 
[INFO] 2020-09-17 19:19:05 > Step:   25900 Progress: 25.9% Elapsed: 5:33:36 temperature: no ada_p: No Discriminator_loss: 1.46567 Generator_loss: -0.00701344 
[INFO] 2020-09-17 19:20:17 > Step:   26000 Progress: 26.0% Elapsed: 5:34:49 temperature: no ada_p: No Discriminator_loss: 1.44615 Generator_loss: 0.431472 
[INFO] 2020-09-17 19:20:18 > Start Evaluation (26000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 19:22:23 > F_8 score (Step: 26000, Using test images): 0.9877654040434384
[INFO] 2020-09-17 19:22:23 > F_1/8 score (Step: 26000, Using test images): 0.9865133970892649
[INFO] 2020-09-17 19:22:23 > FID score (Step: 26000, Using test moments): 11.24459441416468
[INFO] 2020-09-17 19:22:23 > Inception score (Step: 26000, 10000 generated images): 9.795747756958008
[INFO] 2020-09-17 19:22:23 > Best FID score (Step: 26000, Using test moments): 11.24459441416468
[INFO] 2020-09-17 19:22:28 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 19:23:39 > Step:   26100 Progress: 26.1% Elapsed: 5:38:11 temperature: no ada_p: No Discriminator_loss: 1.51311 Generator_loss: 0.447269 
[INFO] 2020-09-17 19:24:51 > Step:   26200 Progress: 26.2% Elapsed: 5:39:22 temperature: no ada_p: No Discriminator_loss: 1.32114 Generator_loss: 0.562245 
[INFO] 2020-09-17 19:26:04 > Step:   26300 Progress: 26.3% Elapsed: 5:40:35 temperature: no ada_p: No Discriminator_loss: 1.5678 Generator_loss: 0.225526 
[INFO] 2020-09-17 19:27:16 > Step:   26400 Progress: 26.4% Elapsed: 5:41:47 temperature: no ada_p: No Discriminator_loss: 1.66559 Generator_loss: 0.140794 
[INFO] 2020-09-17 19:28:28 > Step:   26500 Progress: 26.5% Elapsed: 5:42:59 temperature: no ada_p: No Discriminator_loss: 1.54727 Generator_loss: -0.11853 
[INFO] 2020-09-17 19:29:39 > Step:   26600 Progress: 26.6% Elapsed: 5:44:10 temperature: no ada_p: No Discriminator_loss: 1.75773 Generator_loss: 0.313766 
[INFO] 2020-09-17 19:30:51 > Step:   26700 Progress: 26.7% Elapsed: 5:45:22 temperature: no ada_p: No Discriminator_loss: 1.58832 Generator_loss: 0.276813 
[INFO] 2020-09-17 19:31:57 > Step:   26800 Progress: 26.8% Elapsed: 5:46:29 temperature: no ada_p: No Discriminator_loss: 1.42365 Generator_loss: 0.370896 
[INFO] 2020-09-17 19:33:03 > Step:   26900 Progress: 26.9% Elapsed: 5:47:34 temperature: no ada_p: No Discriminator_loss: 1.40633 Generator_loss: 0.410893 
[INFO] 2020-09-17 19:34:13 > Step:   27000 Progress: 27.0% Elapsed: 5:48:44 temperature: no ada_p: No Discriminator_loss: 1.66953 Generator_loss: 0.287597 
[INFO] 2020-09-17 19:35:24 > Step:   27100 Progress: 27.1% Elapsed: 5:49:56 temperature: no ada_p: No Discriminator_loss: 1.60402 Generator_loss: -0.350049 
[INFO] 2020-09-17 19:36:37 > Step:   27200 Progress: 27.2% Elapsed: 5:51:08 temperature: no ada_p: No Discriminator_loss: 1.36349 Generator_loss: 0.852935 
[INFO] 2020-09-17 19:37:48 > Step:   27300 Progress: 27.3% Elapsed: 5:52:20 temperature: no ada_p: No Discriminator_loss: 1.64808 Generator_loss: -0.462134 
[INFO] 2020-09-17 19:39:00 > Step:   27400 Progress: 27.4% Elapsed: 5:53:32 temperature: no ada_p: No Discriminator_loss: 1.52663 Generator_loss: 0.313116 
[INFO] 2020-09-17 19:40:12 > Step:   27500 Progress: 27.5% Elapsed: 5:54:43 temperature: no ada_p: No Discriminator_loss: 1.24553 Generator_loss: 0.613509 
[INFO] 2020-09-17 19:41:23 > Step:   27600 Progress: 27.6% Elapsed: 5:55:54 temperature: no ada_p: No Discriminator_loss: 1.42242 Generator_loss: 0.420171 
[INFO] 2020-09-17 19:42:35 > Step:   27700 Progress: 27.7% Elapsed: 5:57:06 temperature: no ada_p: No Discriminator_loss: 1.49762 Generator_loss: 0.482396 
[INFO] 2020-09-17 19:43:47 > Step:   27800 Progress: 27.8% Elapsed: 5:58:18 temperature: no ada_p: No Discriminator_loss: 1.44438 Generator_loss: 0.457491 
[INFO] 2020-09-17 19:44:58 > Step:   27900 Progress: 27.9% Elapsed: 5:59:30 temperature: no ada_p: No Discriminator_loss: 1.47915 Generator_loss: 0.0302519 
[INFO] 2020-09-17 19:46:09 > Step:   28000 Progress: 28.0% Elapsed: 6:00:40 temperature: no ada_p: No Discriminator_loss: 1.63561 Generator_loss: -0.266357 
[INFO] 2020-09-17 19:46:09 > Start Evaluation (28000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 19:48:14 > F_8 score (Step: 28000, Using test images): 0.9881000338077446
[INFO] 2020-09-17 19:48:14 > F_1/8 score (Step: 28000, Using test images): 0.9907842580615875
[INFO] 2020-09-17 19:48:14 > FID score (Step: 28000, Using test moments): 10.924352543739872
[INFO] 2020-09-17 19:48:14 > Inception score (Step: 28000, 10000 generated images): 9.912946701049805
[INFO] 2020-09-17 19:48:14 > Best FID score (Step: 28000, Using test moments): 10.924352543739872
[INFO] 2020-09-17 19:48:18 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 19:49:29 > Step:   28100 Progress: 28.1% Elapsed: 6:04:00 temperature: no ada_p: No Discriminator_loss: 1.55498 Generator_loss: 0.374852 
[INFO] 2020-09-17 19:50:40 > Step:   28200 Progress: 28.2% Elapsed: 6:05:12 temperature: no ada_p: No Discriminator_loss: 1.42609 Generator_loss: 0.36274 
[INFO] 2020-09-17 19:51:53 > Step:   28300 Progress: 28.3% Elapsed: 6:06:24 temperature: no ada_p: No Discriminator_loss: 1.38022 Generator_loss: -0.107414 
[INFO] 2020-09-17 19:53:05 > Step:   28400 Progress: 28.4% Elapsed: 6:07:36 temperature: no ada_p: No Discriminator_loss: 1.56406 Generator_loss: 0.300676 
[INFO] 2020-09-17 19:54:17 > Step:   28500 Progress: 28.5% Elapsed: 6:08:49 temperature: no ada_p: No Discriminator_loss: 1.34559 Generator_loss: 0.761535 
[INFO] 2020-09-17 19:55:29 > Step:   28600 Progress: 28.6% Elapsed: 6:10:00 temperature: no ada_p: No Discriminator_loss: 1.4866 Generator_loss: 0.409379 
[INFO] 2020-09-17 19:56:40 > Step:   28700 Progress: 28.7% Elapsed: 6:11:12 temperature: no ada_p: No Discriminator_loss: 1.44129 Generator_loss: 0.869863 
[INFO] 2020-09-17 19:57:52 > Step:   28800 Progress: 28.8% Elapsed: 6:12:23 temperature: no ada_p: No Discriminator_loss: 1.39123 Generator_loss: 0.383076 
[INFO] 2020-09-17 19:59:03 > Step:   28900 Progress: 28.9% Elapsed: 6:13:35 temperature: no ada_p: No Discriminator_loss: 1.37029 Generator_loss: 0.171356 
[INFO] 2020-09-17 20:00:14 > Step:   29000 Progress: 29.0% Elapsed: 6:14:45 temperature: no ada_p: No Discriminator_loss: 1.53881 Generator_loss: 0.3548 
[INFO] 2020-09-17 20:01:26 > Step:   29100 Progress: 29.1% Elapsed: 6:15:57 temperature: no ada_p: No Discriminator_loss: 1.46179 Generator_loss: 0.0631333 
[INFO] 2020-09-17 20:02:37 > Step:   29200 Progress: 29.2% Elapsed: 6:17:08 temperature: no ada_p: No Discriminator_loss: 1.58165 Generator_loss: 0.225511 
[INFO] 2020-09-17 20:03:48 > Step:   29300 Progress: 29.3% Elapsed: 6:18:19 temperature: no ada_p: No Discriminator_loss: 1.48567 Generator_loss: 0.224448 
[INFO] 2020-09-17 20:04:59 > Step:   29400 Progress: 29.4% Elapsed: 6:19:30 temperature: no ada_p: No Discriminator_loss: 1.45375 Generator_loss: 0.411817 
[INFO] 2020-09-17 20:06:10 > Step:   29500 Progress: 29.5% Elapsed: 6:20:41 temperature: no ada_p: No Discriminator_loss: 1.45349 Generator_loss: 0.555482 
[INFO] 2020-09-17 20:07:22 > Step:   29600 Progress: 29.6% Elapsed: 6:21:53 temperature: no ada_p: No Discriminator_loss: 1.58353 Generator_loss: 0.0297117 
[INFO] 2020-09-17 20:08:32 > Step:   29700 Progress: 29.7% Elapsed: 6:23:04 temperature: no ada_p: No Discriminator_loss: 1.71805 Generator_loss: -0.175646 
[INFO] 2020-09-17 20:09:44 > Step:   29800 Progress: 29.8% Elapsed: 6:24:15 temperature: no ada_p: No Discriminator_loss: 1.32332 Generator_loss: 0.12374 
[INFO] 2020-09-17 20:10:56 > Step:   29900 Progress: 29.9% Elapsed: 6:25:28 temperature: no ada_p: No Discriminator_loss: 1.39245 Generator_loss: 0.385552 
[INFO] 2020-09-17 20:12:08 > Step:   30000 Progress: 30.0% Elapsed: 6:26:40 temperature: no ada_p: No Discriminator_loss: 1.31034 Generator_loss: 0.395099 
[INFO] 2020-09-17 20:12:08 > Start Evaluation (30000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 20:14:16 > F_8 score (Step: 30000, Using test images): 0.991724896796515
[INFO] 2020-09-17 20:14:16 > F_1/8 score (Step: 30000, Using test images): 0.9911806710324881
[INFO] 2020-09-17 20:14:16 > FID score (Step: 30000, Using test moments): 10.342873773304632
[INFO] 2020-09-17 20:14:16 > Inception score (Step: 30000, 10000 generated images): 9.886075019836426
[INFO] 2020-09-17 20:14:16 > Best FID score (Step: 30000, Using test moments): 10.342873773304632
[INFO] 2020-09-17 20:14:20 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 20:15:26 > Step:   30100 Progress: 30.1% Elapsed: 6:29:57 temperature: no ada_p: No Discriminator_loss: 1.45853 Generator_loss: 0.924298 
[INFO] 2020-09-17 20:16:33 > Step:   30200 Progress: 30.2% Elapsed: 6:31:04 temperature: no ada_p: No Discriminator_loss: 1.43787 Generator_loss: 0.571813 
[INFO] 2020-09-17 20:17:44 > Step:   30300 Progress: 30.3% Elapsed: 6:32:16 temperature: no ada_p: No Discriminator_loss: 1.62544 Generator_loss: 0.136283 
[INFO] 2020-09-17 20:18:55 > Step:   30400 Progress: 30.4% Elapsed: 6:33:27 temperature: no ada_p: No Discriminator_loss: 1.3485 Generator_loss: 0.354395 
[INFO] 2020-09-17 20:20:07 > Step:   30500 Progress: 30.5% Elapsed: 6:34:38 temperature: no ada_p: No Discriminator_loss: 1.46101 Generator_loss: 0.439818 
[INFO] 2020-09-17 20:21:18 > Step:   30600 Progress: 30.6% Elapsed: 6:35:49 temperature: no ada_p: No Discriminator_loss: 1.54194 Generator_loss: 0.322963 
[INFO] 2020-09-17 20:22:30 > Step:   30700 Progress: 30.7% Elapsed: 6:37:01 temperature: no ada_p: No Discriminator_loss: 1.27889 Generator_loss: 0.0816481 
[INFO] 2020-09-17 20:23:40 > Step:   30800 Progress: 30.8% Elapsed: 6:38:11 temperature: no ada_p: No Discriminator_loss: 1.44784 Generator_loss: 0.247127 
[INFO] 2020-09-17 20:24:50 > Step:   30900 Progress: 30.9% Elapsed: 6:39:22 temperature: no ada_p: No Discriminator_loss: 1.3099 Generator_loss: 0.561143 
[INFO] 2020-09-17 20:26:01 > Step:   31000 Progress: 31.0% Elapsed: 6:40:32 temperature: no ada_p: No Discriminator_loss: 1.41076 Generator_loss: 0.336477 
[INFO] 2020-09-17 20:27:11 > Step:   31100 Progress: 31.1% Elapsed: 6:41:43 temperature: no ada_p: No Discriminator_loss: 1.52443 Generator_loss: 0.382644 
[INFO] 2020-09-17 20:28:22 > Step:   31200 Progress: 31.2% Elapsed: 6:42:54 temperature: no ada_p: No Discriminator_loss: 1.34918 Generator_loss: 0.621411 
[INFO] 2020-09-17 20:29:35 > Step:   31300 Progress: 31.3% Elapsed: 6:44:06 temperature: no ada_p: No Discriminator_loss: 1.41128 Generator_loss: 0.182434 
[INFO] 2020-09-17 20:30:47 > Step:   31400 Progress: 31.4% Elapsed: 6:45:19 temperature: no ada_p: No Discriminator_loss: 1.53547 Generator_loss: 0.375071 
[INFO] 2020-09-17 20:32:00 > Step:   31500 Progress: 31.5% Elapsed: 6:46:31 temperature: no ada_p: No Discriminator_loss: 1.58564 Generator_loss: 0.135497 
[INFO] 2020-09-17 20:33:10 > Step:   31600 Progress: 31.6% Elapsed: 6:47:41 temperature: no ada_p: No Discriminator_loss: 1.43608 Generator_loss: 0.0267669 
[INFO] 2020-09-17 20:34:20 > Step:   31700 Progress: 31.7% Elapsed: 6:48:51 temperature: no ada_p: No Discriminator_loss: 1.49216 Generator_loss: 0.316172 
[INFO] 2020-09-17 20:35:32 > Step:   31800 Progress: 31.8% Elapsed: 6:50:03 temperature: no ada_p: No Discriminator_loss: 1.5346 Generator_loss: 0.453811 
[INFO] 2020-09-17 20:36:43 > Step:   31900 Progress: 31.9% Elapsed: 6:51:14 temperature: no ada_p: No Discriminator_loss: 1.34133 Generator_loss: 0.814606 
[INFO] 2020-09-17 20:37:54 > Step:   32000 Progress: 32.0% Elapsed: 6:52:25 temperature: no ada_p: No Discriminator_loss: 1.4687 Generator_loss: 0.598543 
[INFO] 2020-09-17 20:37:54 > Start Evaluation (32000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 20:40:01 > F_8 score (Step: 32000, Using test images): 0.9878938562711758
[INFO] 2020-09-17 20:40:01 > F_1/8 score (Step: 32000, Using test images): 0.9908994198492724
[INFO] 2020-09-17 20:40:01 > FID score (Step: 32000, Using test moments): 9.969444643855525
[INFO] 2020-09-17 20:40:01 > Inception score (Step: 32000, 10000 generated images): 9.843255996704102
[INFO] 2020-09-17 20:40:01 > Best FID score (Step: 32000, Using test moments): 9.969444643855525
[INFO] 2020-09-17 20:40:05 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 20:41:17 > Step:   32100 Progress: 32.1% Elapsed: 6:55:48 temperature: no ada_p: No Discriminator_loss: 1.52717 Generator_loss: 0.21 
[INFO] 2020-09-17 20:42:28 > Step:   32200 Progress: 32.2% Elapsed: 6:56:59 temperature: no ada_p: No Discriminator_loss: 1.60385 Generator_loss: 0.194627 
[INFO] 2020-09-17 20:43:40 > Step:   32300 Progress: 32.3% Elapsed: 6:58:12 temperature: no ada_p: No Discriminator_loss: 1.43801 Generator_loss: 0.450594 
[INFO] 2020-09-17 20:44:53 > Step:   32400 Progress: 32.4% Elapsed: 6:59:24 temperature: no ada_p: No Discriminator_loss: 1.50813 Generator_loss: 0.310477 
[INFO] 2020-09-17 20:46:04 > Step:   32500 Progress: 32.5% Elapsed: 7:00:35 temperature: no ada_p: No Discriminator_loss: 1.45306 Generator_loss: 0.229909 
[INFO] 2020-09-17 20:47:15 > Step:   32600 Progress: 32.6% Elapsed: 7:01:46 temperature: no ada_p: No Discriminator_loss: 1.82232 Generator_loss: -0.103821 
[INFO] 2020-09-17 20:48:26 > Step:   32700 Progress: 32.7% Elapsed: 7:02:57 temperature: no ada_p: No Discriminator_loss: 1.43962 Generator_loss: 0.45162 
[INFO] 2020-09-17 20:49:36 > Step:   32800 Progress: 32.8% Elapsed: 7:04:07 temperature: no ada_p: No Discriminator_loss: 1.34129 Generator_loss: 0.428471 
[INFO] 2020-09-17 20:50:47 > Step:   32900 Progress: 32.9% Elapsed: 7:05:19 temperature: no ada_p: No Discriminator_loss: 1.47459 Generator_loss: 0.623206 
[INFO] 2020-09-17 20:51:59 > Step:   33000 Progress: 33.0% Elapsed: 7:06:31 temperature: no ada_p: No Discriminator_loss: 1.26268 Generator_loss: 0.316259 
[INFO] 2020-09-17 20:53:11 > Step:   33100 Progress: 33.1% Elapsed: 7:07:43 temperature: no ada_p: No Discriminator_loss: 1.55311 Generator_loss: -0.111949 
[INFO] 2020-09-17 20:54:22 > Step:   33200 Progress: 33.2% Elapsed: 7:08:53 temperature: no ada_p: No Discriminator_loss: 1.51077 Generator_loss: 0.12533 
[INFO] 2020-09-17 20:55:33 > Step:   33300 Progress: 33.3% Elapsed: 7:10:04 temperature: no ada_p: No Discriminator_loss: 1.56475 Generator_loss: 0.186617 
[INFO] 2020-09-17 20:56:44 > Step:   33400 Progress: 33.4% Elapsed: 7:11:15 temperature: no ada_p: No Discriminator_loss: 1.32948 Generator_loss: 0.535986 
[INFO] 2020-09-17 20:57:55 > Step:   33500 Progress: 33.5% Elapsed: 7:12:26 temperature: no ada_p: No Discriminator_loss: 1.43831 Generator_loss: 0.347606 
[INFO] 2020-09-17 20:59:00 > Step:   33600 Progress: 33.6% Elapsed: 7:13:31 temperature: no ada_p: No Discriminator_loss: 1.53819 Generator_loss: 0.479638 
[INFO] 2020-09-17 21:00:06 > Step:   33700 Progress: 33.7% Elapsed: 7:14:37 temperature: no ada_p: No Discriminator_loss: 1.4692 Generator_loss: 0.346036 
[INFO] 2020-09-17 21:01:18 > Step:   33800 Progress: 33.8% Elapsed: 7:15:49 temperature: no ada_p: No Discriminator_loss: 1.30915 Generator_loss: 0.380352 
[INFO] 2020-09-17 21:02:29 > Step:   33900 Progress: 33.9% Elapsed: 7:17:00 temperature: no ada_p: No Discriminator_loss: 1.31921 Generator_loss: 0.43699 
[INFO] 2020-09-17 21:03:38 > Step:   34000 Progress: 34.0% Elapsed: 7:18:10 temperature: no ada_p: No Discriminator_loss: 1.63023 Generator_loss: 0.339778 
[INFO] 2020-09-17 21:03:38 > Start Evaluation (34000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:05:45 > F_8 score (Step: 34000, Using test images): 0.98812979969941
[INFO] 2020-09-17 21:05:45 > F_1/8 score (Step: 34000, Using test images): 0.9928430054452366
[INFO] 2020-09-17 21:05:46 > FID score (Step: 34000, Using test moments): 9.642883017255997
[INFO] 2020-09-17 21:05:46 > Inception score (Step: 34000, 10000 generated images): 9.847532272338867
[INFO] 2020-09-17 21:05:46 > Best FID score (Step: 34000, Using test moments): 9.642883017255997
[INFO] 2020-09-17 21:05:50 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:07:01 > Step:   34100 Progress: 34.1% Elapsed: 7:21:32 temperature: no ada_p: No Discriminator_loss: 1.38893 Generator_loss: 0.466025 
[INFO] 2020-09-17 21:08:12 > Step:   34200 Progress: 34.2% Elapsed: 7:22:44 temperature: no ada_p: No Discriminator_loss: 1.58032 Generator_loss: 0.116526 
[INFO] 2020-09-17 21:09:24 > Step:   34300 Progress: 34.3% Elapsed: 7:23:55 temperature: no ada_p: No Discriminator_loss: 1.55053 Generator_loss: 0.192857 
[INFO] 2020-09-17 21:10:36 > Step:   34400 Progress: 34.4% Elapsed: 7:25:08 temperature: no ada_p: No Discriminator_loss: 1.37325 Generator_loss: 0.198575 
[INFO] 2020-09-17 21:11:48 > Step:   34500 Progress: 34.5% Elapsed: 7:26:19 temperature: no ada_p: No Discriminator_loss: 1.65284 Generator_loss: 0.336376 
[INFO] 2020-09-17 21:13:00 > Step:   34600 Progress: 34.6% Elapsed: 7:27:31 temperature: no ada_p: No Discriminator_loss: 1.55967 Generator_loss: 0.0227296 
[INFO] 2020-09-17 21:14:11 > Step:   34700 Progress: 34.7% Elapsed: 7:28:43 temperature: no ada_p: No Discriminator_loss: 1.47947 Generator_loss: 0.258697 
[INFO] 2020-09-17 21:15:23 > Step:   34800 Progress: 34.8% Elapsed: 7:29:55 temperature: no ada_p: No Discriminator_loss: 1.58344 Generator_loss: 0.410159 
[INFO] 2020-09-17 21:16:34 > Step:   34900 Progress: 34.9% Elapsed: 7:31:05 temperature: no ada_p: No Discriminator_loss: 1.41932 Generator_loss: -0.0350208 
[INFO] 2020-09-17 21:17:45 > Step:   35000 Progress: 35.0% Elapsed: 7:32:17 temperature: no ada_p: No Discriminator_loss: 1.43922 Generator_loss: 0.433335 
[INFO] 2020-09-17 21:18:57 > Step:   35100 Progress: 35.1% Elapsed: 7:33:28 temperature: no ada_p: No Discriminator_loss: 1.51998 Generator_loss: 0.169145 
[INFO] 2020-09-17 21:20:08 > Step:   35200 Progress: 35.2% Elapsed: 7:34:40 temperature: no ada_p: No Discriminator_loss: 1.52069 Generator_loss: -0.152975 
[INFO] 2020-09-17 21:21:20 > Step:   35300 Progress: 35.3% Elapsed: 7:35:51 temperature: no ada_p: No Discriminator_loss: 1.50656 Generator_loss: 0.780174 
[INFO] 2020-09-17 21:22:30 > Step:   35400 Progress: 35.4% Elapsed: 7:37:02 temperature: no ada_p: No Discriminator_loss: 1.65121 Generator_loss: 0.0575343 
[INFO] 2020-09-17 21:23:42 > Step:   35500 Progress: 35.5% Elapsed: 7:38:13 temperature: no ada_p: No Discriminator_loss: 1.56152 Generator_loss: 0.30449 
[INFO] 2020-09-17 21:24:53 > Step:   35600 Progress: 35.6% Elapsed: 7:39:24 temperature: no ada_p: No Discriminator_loss: 1.65962 Generator_loss: 0.542847 
[INFO] 2020-09-17 21:26:04 > Step:   35700 Progress: 35.7% Elapsed: 7:40:35 temperature: no ada_p: No Discriminator_loss: 1.53241 Generator_loss: 0.248336 
[INFO] 2020-09-17 21:27:15 > Step:   35800 Progress: 35.8% Elapsed: 7:41:47 temperature: no ada_p: No Discriminator_loss: 1.568 Generator_loss: 0.0406777 
[INFO] 2020-09-17 21:28:29 > Step:   35900 Progress: 35.9% Elapsed: 7:43:00 temperature: no ada_p: No Discriminator_loss: 1.51127 Generator_loss: -0.224826 
[INFO] 2020-09-17 21:29:41 > Step:   36000 Progress: 36.0% Elapsed: 7:44:12 temperature: no ada_p: No Discriminator_loss: 1.20625 Generator_loss: 0.791969 
[INFO] 2020-09-17 21:29:41 > Start Evaluation (36000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:31:47 > F_8 score (Step: 36000, Using test images): 0.9895068332212069
[INFO] 2020-09-17 21:31:47 > F_1/8 score (Step: 36000, Using test images): 0.9923232906486369
[INFO] 2020-09-17 21:31:47 > FID score (Step: 36000, Using test moments): 9.45905550614981
[INFO] 2020-09-17 21:31:47 > Inception score (Step: 36000, 10000 generated images): 9.819770812988281
[INFO] 2020-09-17 21:31:47 > Best FID score (Step: 36000, Using test moments): 9.45905550614981
[INFO] 2020-09-17 21:31:52 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:33:04 > Step:   36100 Progress: 36.1% Elapsed: 7:47:35 temperature: no ada_p: No Discriminator_loss: 1.43037 Generator_loss: 0.229852 
[INFO] 2020-09-17 21:34:16 > Step:   36200 Progress: 36.2% Elapsed: 7:48:47 temperature: no ada_p: No Discriminator_loss: 1.4825 Generator_loss: 0.150664 
[INFO] 2020-09-17 21:35:28 > Step:   36300 Progress: 36.3% Elapsed: 7:49:59 temperature: no ada_p: No Discriminator_loss: 1.37501 Generator_loss: 0.368979 
[INFO] 2020-09-17 21:36:40 > Step:   36400 Progress: 36.4% Elapsed: 7:51:11 temperature: no ada_p: No Discriminator_loss: 1.66762 Generator_loss: -0.195857 
[INFO] 2020-09-17 21:37:52 > Step:   36500 Progress: 36.5% Elapsed: 7:52:24 temperature: no ada_p: No Discriminator_loss: 1.50875 Generator_loss: 0.268253 
[INFO] 2020-09-17 21:39:04 > Step:   36600 Progress: 36.6% Elapsed: 7:53:35 temperature: no ada_p: No Discriminator_loss: 1.62847 Generator_loss: 0.352035 
[INFO] 2020-09-17 21:40:16 > Step:   36700 Progress: 36.7% Elapsed: 7:54:47 temperature: no ada_p: No Discriminator_loss: 1.28902 Generator_loss: 0.315526 
[INFO] 2020-09-17 21:41:27 > Step:   36800 Progress: 36.8% Elapsed: 7:55:58 temperature: no ada_p: No Discriminator_loss: 1.3585 Generator_loss: 1.0021 
[INFO] 2020-09-17 21:42:32 > Step:   36900 Progress: 36.9% Elapsed: 7:57:04 temperature: no ada_p: No Discriminator_loss: 1.52149 Generator_loss: 0.259104 
[INFO] 2020-09-17 21:43:39 > Step:   37000 Progress: 37.0% Elapsed: 7:58:10 temperature: no ada_p: No Discriminator_loss: 1.41997 Generator_loss: 0.103055 
[INFO] 2020-09-17 21:44:49 > Step:   37100 Progress: 37.1% Elapsed: 7:59:20 temperature: no ada_p: No Discriminator_loss: 1.43884 Generator_loss: 0.54657 
[INFO] 2020-09-17 21:45:59 > Step:   37200 Progress: 37.2% Elapsed: 8:00:31 temperature: no ada_p: No Discriminator_loss: 1.53923 Generator_loss: 0.499565 
[INFO] 2020-09-17 21:47:10 > Step:   37300 Progress: 37.3% Elapsed: 8:01:41 temperature: no ada_p: No Discriminator_loss: 1.31156 Generator_loss: 0.426613 
[INFO] 2020-09-17 21:48:20 > Step:   37400 Progress: 37.4% Elapsed: 8:02:52 temperature: no ada_p: No Discriminator_loss: 1.53557 Generator_loss: 0.46198 
[INFO] 2020-09-17 21:49:31 > Step:   37500 Progress: 37.5% Elapsed: 8:04:02 temperature: no ada_p: No Discriminator_loss: 1.70306 Generator_loss: -0.0965456 
[INFO] 2020-09-17 21:50:42 > Step:   37600 Progress: 37.6% Elapsed: 8:05:13 temperature: no ada_p: No Discriminator_loss: 1.4728 Generator_loss: 0.664582 
[INFO] 2020-09-17 21:51:53 > Step:   37700 Progress: 37.7% Elapsed: 8:06:24 temperature: no ada_p: No Discriminator_loss: 1.6948 Generator_loss: -0.178414 
[INFO] 2020-09-17 21:53:05 > Step:   37800 Progress: 37.8% Elapsed: 8:07:36 temperature: no ada_p: No Discriminator_loss: 1.37483 Generator_loss: 0.331244 
[INFO] 2020-09-17 21:54:15 > Step:   37900 Progress: 37.9% Elapsed: 8:08:47 temperature: no ada_p: No Discriminator_loss: 1.52936 Generator_loss: 0.663028 
[INFO] 2020-09-17 21:55:27 > Step:   38000 Progress: 38.0% Elapsed: 8:09:58 temperature: no ada_p: No Discriminator_loss: 1.55045 Generator_loss: 0.244155 
[INFO] 2020-09-17 21:55:27 > Start Evaluation (38000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:57:35 > F_8 score (Step: 38000, Using test images): 0.990783379482263
[INFO] 2020-09-17 21:57:35 > F_1/8 score (Step: 38000, Using test images): 0.990287429564419
[INFO] 2020-09-17 21:57:35 > FID score (Step: 38000, Using test moments): 9.092822388520858
[INFO] 2020-09-17 21:57:35 > Inception score (Step: 38000, 10000 generated images): 9.874114990234375
[INFO] 2020-09-17 21:57:35 > Best FID score (Step: 38000, Using test moments): 9.092822388520858
[INFO] 2020-09-17 21:57:40 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 21:58:51 > Step:   38100 Progress: 38.1% Elapsed: 8:13:23 temperature: no ada_p: No Discriminator_loss: 1.34173 Generator_loss: 0.237296 
[INFO] 2020-09-17 22:00:03 > Step:   38200 Progress: 38.2% Elapsed: 8:14:34 temperature: no ada_p: No Discriminator_loss: 1.45021 Generator_loss: 0.338929 
[INFO] 2020-09-17 22:01:14 > Step:   38300 Progress: 38.3% Elapsed: 8:15:45 temperature: no ada_p: No Discriminator_loss: 1.61942 Generator_loss: -0.00671762 
[INFO] 2020-09-17 22:02:26 > Step:   38400 Progress: 38.4% Elapsed: 8:16:57 temperature: no ada_p: No Discriminator_loss: 1.53718 Generator_loss: 0.152185 
[INFO] 2020-09-17 22:03:37 > Step:   38500 Progress: 38.5% Elapsed: 8:18:09 temperature: no ada_p: No Discriminator_loss: 1.49086 Generator_loss: -0.0606939 
[INFO] 2020-09-17 22:04:49 > Step:   38600 Progress: 38.6% Elapsed: 8:19:20 temperature: no ada_p: No Discriminator_loss: 1.41506 Generator_loss: 0.565582 
[INFO] 2020-09-17 22:06:00 > Step:   38700 Progress: 38.7% Elapsed: 8:20:31 temperature: no ada_p: No Discriminator_loss: 1.53906 Generator_loss: 0.393911 
[INFO] 2020-09-17 22:07:11 > Step:   38800 Progress: 38.8% Elapsed: 8:21:43 temperature: no ada_p: No Discriminator_loss: 1.4248 Generator_loss: 0.594952 
[INFO] 2020-09-17 22:08:24 > Step:   38900 Progress: 38.9% Elapsed: 8:22:55 temperature: no ada_p: No Discriminator_loss: 1.52292 Generator_loss: 0.505452 
[INFO] 2020-09-17 22:09:36 > Step:   39000 Progress: 39.0% Elapsed: 8:24:07 temperature: no ada_p: No Discriminator_loss: 1.36998 Generator_loss: 0.85541 
[INFO] 2020-09-17 22:10:47 > Step:   39100 Progress: 39.1% Elapsed: 8:25:18 temperature: no ada_p: No Discriminator_loss: 1.5142 Generator_loss: 0.14572 
[INFO] 2020-09-17 22:11:57 > Step:   39200 Progress: 39.2% Elapsed: 8:26:28 temperature: no ada_p: No Discriminator_loss: 1.587 Generator_loss: -0.0870731 
[INFO] 2020-09-17 22:13:07 > Step:   39300 Progress: 39.3% Elapsed: 8:27:39 temperature: no ada_p: No Discriminator_loss: 1.39201 Generator_loss: 0.178361 
[INFO] 2020-09-17 22:14:18 > Step:   39400 Progress: 39.4% Elapsed: 8:28:49 temperature: no ada_p: No Discriminator_loss: 1.26794 Generator_loss: 0.0964664 
[INFO] 2020-09-17 22:15:30 > Step:   39500 Progress: 39.5% Elapsed: 8:30:01 temperature: no ada_p: No Discriminator_loss: 1.64899 Generator_loss: 0.343592 
[INFO] 2020-09-17 22:16:41 > Step:   39600 Progress: 39.6% Elapsed: 8:31:13 temperature: no ada_p: No Discriminator_loss: 1.48709 Generator_loss: 0.171118 
[INFO] 2020-09-17 22:17:53 > Step:   39700 Progress: 39.7% Elapsed: 8:32:24 temperature: no ada_p: No Discriminator_loss: 1.41894 Generator_loss: 0.346417 
[INFO] 2020-09-17 22:19:04 > Step:   39800 Progress: 39.8% Elapsed: 8:33:35 temperature: no ada_p: No Discriminator_loss: 1.41451 Generator_loss: 0.695654 
[INFO] 2020-09-17 22:20:16 > Step:   39900 Progress: 39.9% Elapsed: 8:34:48 temperature: no ada_p: No Discriminator_loss: 1.62976 Generator_loss: 0.489558 
[INFO] 2020-09-17 22:21:28 > Step:   40000 Progress: 40.0% Elapsed: 8:35:59 temperature: no ada_p: No Discriminator_loss: 1.46957 Generator_loss: 0.237105 
[INFO] 2020-09-17 22:21:28 > Start Evaluation (40000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 22:23:34 > F_8 score (Step: 40000, Using test images): 0.9910225769327523
[INFO] 2020-09-17 22:23:34 > F_1/8 score (Step: 40000, Using test images): 0.9932352487209597
[INFO] 2020-09-17 22:23:34 > FID score (Step: 40000, Using test moments): 8.905411968977603
[INFO] 2020-09-17 22:23:34 > Inception score (Step: 40000, 10000 generated images): 9.865089416503906
[INFO] 2020-09-17 22:23:34 > Best FID score (Step: 40000, Using test moments): 8.905411968977603
[INFO] 2020-09-17 22:23:39 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 22:24:48 > Step:   40100 Progress: 40.1% Elapsed: 8:39:19 temperature: no ada_p: No Discriminator_loss: 1.48349 Generator_loss: 0.334714 
[INFO] 2020-09-17 22:25:54 > Step:   40200 Progress: 40.2% Elapsed: 8:40:25 temperature: no ada_p: No Discriminator_loss: 1.42689 Generator_loss: 0.482974 
[INFO] 2020-09-17 22:27:01 > Step:   40300 Progress: 40.3% Elapsed: 8:41:33 temperature: no ada_p: No Discriminator_loss: 1.4181 Generator_loss: 0.512863 
[INFO] 2020-09-17 22:28:12 > Step:   40400 Progress: 40.4% Elapsed: 8:42:44 temperature: no ada_p: No Discriminator_loss: 1.46193 Generator_loss: 0.367132 
[INFO] 2020-09-17 22:29:24 > Step:   40500 Progress: 40.5% Elapsed: 8:43:55 temperature: no ada_p: No Discriminator_loss: 1.59856 Generator_loss: -0.114746 
[INFO] 2020-09-17 22:30:34 > Step:   40600 Progress: 40.6% Elapsed: 8:45:06 temperature: no ada_p: No Discriminator_loss: 1.45794 Generator_loss: 0.374629 
[INFO] 2020-09-17 22:31:46 > Step:   40700 Progress: 40.7% Elapsed: 8:46:17 temperature: no ada_p: No Discriminator_loss: 1.62403 Generator_loss: 0.436343 
[INFO] 2020-09-17 22:32:56 > Step:   40800 Progress: 40.8% Elapsed: 8:47:27 temperature: no ada_p: No Discriminator_loss: 1.41841 Generator_loss: 0.630356 
[INFO] 2020-09-17 22:34:06 > Step:   40900 Progress: 40.9% Elapsed: 8:48:38 temperature: no ada_p: No Discriminator_loss: 1.37204 Generator_loss: 0.611281 
[INFO] 2020-09-17 22:35:18 > Step:   41000 Progress: 41.0% Elapsed: 8:49:49 temperature: no ada_p: No Discriminator_loss: 1.45455 Generator_loss: 0.586949 
[INFO] 2020-09-17 22:36:30 > Step:   41100 Progress: 41.1% Elapsed: 8:51:01 temperature: no ada_p: No Discriminator_loss: 1.51466 Generator_loss: 0.355317 
[INFO] 2020-09-17 22:37:41 > Step:   41200 Progress: 41.2% Elapsed: 8:52:13 temperature: no ada_p: No Discriminator_loss: 1.72047 Generator_loss: -0.367769 
[INFO] 2020-09-17 22:38:53 > Step:   41300 Progress: 41.3% Elapsed: 8:53:24 temperature: no ada_p: No Discriminator_loss: 1.41421 Generator_loss: 0.490323 
[INFO] 2020-09-17 22:40:04 > Step:   41400 Progress: 41.4% Elapsed: 8:54:35 temperature: no ada_p: No Discriminator_loss: 1.5071 Generator_loss: 0.68395 
[INFO] 2020-09-17 22:41:15 > Step:   41500 Progress: 41.5% Elapsed: 8:55:47 temperature: no ada_p: No Discriminator_loss: 1.43206 Generator_loss: 0.33207 
[INFO] 2020-09-17 22:42:26 > Step:   41600 Progress: 41.6% Elapsed: 8:56:58 temperature: no ada_p: No Discriminator_loss: 1.48533 Generator_loss: -0.203741 
[INFO] 2020-09-17 22:43:38 > Step:   41700 Progress: 41.7% Elapsed: 8:58:10 temperature: no ada_p: No Discriminator_loss: 1.62292 Generator_loss: 0.0821893 
[INFO] 2020-09-17 22:44:49 > Step:   41800 Progress: 41.8% Elapsed: 8:59:20 temperature: no ada_p: No Discriminator_loss: 1.54888 Generator_loss: 0.253808 
[INFO] 2020-09-17 22:46:00 > Step:   41900 Progress: 41.9% Elapsed: 9:00:32 temperature: no ada_p: No Discriminator_loss: 1.50958 Generator_loss: 0.178417 
[INFO] 2020-09-17 22:47:12 > Step:   42000 Progress: 42.0% Elapsed: 9:01:43 temperature: no ada_p: No Discriminator_loss: 1.59698 Generator_loss: 0.352435 
[INFO] 2020-09-17 22:47:12 > Start Evaluation (42000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 22:49:17 > F_8 score (Step: 42000, Using test images): 0.9914342061239271
[INFO] 2020-09-17 22:49:17 > F_1/8 score (Step: 42000, Using test images): 0.9930822267320901
[INFO] 2020-09-17 22:49:17 > FID score (Step: 42000, Using test moments): 8.851831923347106
[INFO] 2020-09-17 22:49:17 > Inception score (Step: 42000, 10000 generated images): 9.926934242248535
[INFO] 2020-09-17 22:49:17 > Best FID score (Step: 42000, Using test moments): 8.851831923347106
[INFO] 2020-09-17 22:49:21 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 22:50:34 > Step:   42100 Progress: 42.1% Elapsed: 9:05:05 temperature: no ada_p: No Discriminator_loss: 1.45808 Generator_loss: 0.813351 
[INFO] 2020-09-17 22:51:45 > Step:   42200 Progress: 42.2% Elapsed: 9:06:16 temperature: no ada_p: No Discriminator_loss: 1.55383 Generator_loss: 0.303638 
[INFO] 2020-09-17 22:52:56 > Step:   42300 Progress: 42.3% Elapsed: 9:07:27 temperature: no ada_p: No Discriminator_loss: 1.59551 Generator_loss: 0.0346072 
[INFO] 2020-09-17 22:54:07 > Step:   42400 Progress: 42.4% Elapsed: 9:08:38 temperature: no ada_p: No Discriminator_loss: 1.29973 Generator_loss: 0.368773 
[INFO] 2020-09-17 22:55:20 > Step:   42500 Progress: 42.5% Elapsed: 9:09:51 temperature: no ada_p: No Discriminator_loss: 1.2952 Generator_loss: 0.762458 
[INFO] 2020-09-17 22:56:32 > Step:   42600 Progress: 42.6% Elapsed: 9:11:03 temperature: no ada_p: No Discriminator_loss: 1.54496 Generator_loss: 0.255193 
[INFO] 2020-09-17 22:57:44 > Step:   42700 Progress: 42.7% Elapsed: 9:12:15 temperature: no ada_p: No Discriminator_loss: 1.44298 Generator_loss: 0.614512 
[INFO] 2020-09-17 22:58:56 > Step:   42800 Progress: 42.8% Elapsed: 9:13:27 temperature: no ada_p: No Discriminator_loss: 1.56888 Generator_loss: 0.361676 
[INFO] 2020-09-17 23:00:08 > Step:   42900 Progress: 42.9% Elapsed: 9:14:39 temperature: no ada_p: No Discriminator_loss: 1.6291 Generator_loss: 0.0716494 
[INFO] 2020-09-17 23:01:19 > Step:   43000 Progress: 43.0% Elapsed: 9:15:50 temperature: no ada_p: No Discriminator_loss: 1.52881 Generator_loss: 0.236148 
[INFO] 2020-09-17 23:02:28 > Step:   43100 Progress: 43.1% Elapsed: 9:16:59 temperature: no ada_p: No Discriminator_loss: 1.45318 Generator_loss: 0.1329 
[INFO] 2020-09-17 23:03:39 > Step:   43200 Progress: 43.2% Elapsed: 9:18:11 temperature: no ada_p: No Discriminator_loss: 1.44901 Generator_loss: 0.432919 
[INFO] 2020-09-17 23:04:51 > Step:   43300 Progress: 43.3% Elapsed: 9:19:22 temperature: no ada_p: No Discriminator_loss: 1.41677 Generator_loss: 0.236909 
[INFO] 2020-09-17 23:06:00 > Step:   43400 Progress: 43.4% Elapsed: 9:20:32 temperature: no ada_p: No Discriminator_loss: 1.44182 Generator_loss: 0.195059 
[INFO] 2020-09-17 23:07:11 > Step:   43500 Progress: 43.5% Elapsed: 9:21:43 temperature: no ada_p: No Discriminator_loss: 1.6731 Generator_loss: 0.0116642 
[INFO] 2020-09-17 23:08:20 > Step:   43600 Progress: 43.6% Elapsed: 9:22:52 temperature: no ada_p: No Discriminator_loss: 1.49186 Generator_loss: 0.208226 
[INFO] 2020-09-17 23:09:26 > Step:   43700 Progress: 43.7% Elapsed: 9:23:58 temperature: no ada_p: No Discriminator_loss: 1.49742 Generator_loss: 0.201516 
[INFO] 2020-09-17 23:10:34 > Step:   43800 Progress: 43.8% Elapsed: 9:25:05 temperature: no ada_p: No Discriminator_loss: 1.48073 Generator_loss: 0.241368 
[INFO] 2020-09-17 23:11:45 > Step:   43900 Progress: 43.9% Elapsed: 9:26:16 temperature: no ada_p: No Discriminator_loss: 1.44559 Generator_loss: 0.419841 
[INFO] 2020-09-17 23:12:56 > Step:   44000 Progress: 44.0% Elapsed: 9:27:28 temperature: no ada_p: No Discriminator_loss: 1.43099 Generator_loss: 0.3225 
[INFO] 2020-09-17 23:12:56 > Start Evaluation (44000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 23:15:03 > F_8 score (Step: 44000, Using test images): 0.9927945201847931
[INFO] 2020-09-17 23:15:03 > F_1/8 score (Step: 44000, Using test images): 0.99292028924163
[INFO] 2020-09-17 23:15:03 > FID score (Step: 44000, Using test moments): 8.737860253064468
[INFO] 2020-09-17 23:15:03 > Inception score (Step: 44000, 10000 generated images): 9.92638874053955
[INFO] 2020-09-17 23:15:03 > Best FID score (Step: 44000, Using test moments): 8.737860253064468
[INFO] 2020-09-17 23:15:08 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 23:16:19 > Step:   44100 Progress: 44.1% Elapsed: 9:30:51 temperature: no ada_p: No Discriminator_loss: 1.50549 Generator_loss: 0.0540866 
[INFO] 2020-09-17 23:17:32 > Step:   44200 Progress: 44.2% Elapsed: 9:32:03 temperature: no ada_p: No Discriminator_loss: 1.62506 Generator_loss: 0.0500068 
[INFO] 2020-09-17 23:18:44 > Step:   44300 Progress: 44.3% Elapsed: 9:33:16 temperature: no ada_p: No Discriminator_loss: 1.48575 Generator_loss: 0.417087 
[INFO] 2020-09-17 23:19:56 > Step:   44400 Progress: 44.4% Elapsed: 9:34:28 temperature: no ada_p: No Discriminator_loss: 1.59473 Generator_loss: 0.157648 
[INFO] 2020-09-17 23:21:09 > Step:   44500 Progress: 44.5% Elapsed: 9:35:40 temperature: no ada_p: No Discriminator_loss: 1.4409 Generator_loss: 0.792117 
[INFO] 2020-09-17 23:22:21 > Step:   44600 Progress: 44.6% Elapsed: 9:36:52 temperature: no ada_p: No Discriminator_loss: 1.35244 Generator_loss: 0.205285 
[INFO] 2020-09-17 23:23:33 > Step:   44700 Progress: 44.7% Elapsed: 9:38:04 temperature: no ada_p: No Discriminator_loss: 1.24788 Generator_loss: 0.849142 
[INFO] 2020-09-17 23:24:45 > Step:   44800 Progress: 44.8% Elapsed: 9:39:16 temperature: no ada_p: No Discriminator_loss: 1.33503 Generator_loss: 0.617146 
[INFO] 2020-09-17 23:25:56 > Step:   44900 Progress: 44.9% Elapsed: 9:40:27 temperature: no ada_p: No Discriminator_loss: 1.72311 Generator_loss: 0.398135 
[INFO] 2020-09-17 23:27:08 > Step:   45000 Progress: 45.0% Elapsed: 9:41:39 temperature: no ada_p: No Discriminator_loss: 1.42575 Generator_loss: 0.787147 
[INFO] 2020-09-17 23:28:19 > Step:   45100 Progress: 45.1% Elapsed: 9:42:50 temperature: no ada_p: No Discriminator_loss: 1.53688 Generator_loss: 0.144491 
[INFO] 2020-09-17 23:29:30 > Step:   45200 Progress: 45.2% Elapsed: 9:44:02 temperature: no ada_p: No Discriminator_loss: 1.46797 Generator_loss: 0.689007 
[INFO] 2020-09-17 23:30:42 > Step:   45300 Progress: 45.3% Elapsed: 9:45:14 temperature: no ada_p: No Discriminator_loss: 1.58786 Generator_loss: 0.27974 
[INFO] 2020-09-17 23:31:53 > Step:   45400 Progress: 45.4% Elapsed: 9:46:25 temperature: no ada_p: No Discriminator_loss: 1.43969 Generator_loss: 0.398753 
[INFO] 2020-09-17 23:33:06 > Step:   45500 Progress: 45.5% Elapsed: 9:47:37 temperature: no ada_p: No Discriminator_loss: 1.47916 Generator_loss: 0.1717 
[INFO] 2020-09-17 23:34:18 > Step:   45600 Progress: 45.6% Elapsed: 9:48:49 temperature: no ada_p: No Discriminator_loss: 1.5636 Generator_loss: 0.0934584 
[INFO] 2020-09-17 23:35:30 > Step:   45700 Progress: 45.7% Elapsed: 9:50:01 temperature: no ada_p: No Discriminator_loss: 1.33505 Generator_loss: 0.505665 
[INFO] 2020-09-17 23:36:40 > Step:   45800 Progress: 45.8% Elapsed: 9:51:12 temperature: no ada_p: No Discriminator_loss: 1.71601 Generator_loss: -0.0830691 
[INFO] 2020-09-17 23:37:51 > Step:   45900 Progress: 45.9% Elapsed: 9:52:23 temperature: no ada_p: No Discriminator_loss: 1.49193 Generator_loss: 0.234977 
[INFO] 2020-09-17 23:39:02 > Step:   46000 Progress: 46.0% Elapsed: 9:53:34 temperature: no ada_p: No Discriminator_loss: 1.42102 Generator_loss: 0.0699989 
[INFO] 2020-09-17 23:39:02 > Start Evaluation (46000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 23:41:08 > F_8 score (Step: 46000, Using test images): 0.9926521338680769
[INFO] 2020-09-17 23:41:08 > F_1/8 score (Step: 46000, Using test images): 0.9934125319897072
[INFO] 2020-09-17 23:41:08 > FID score (Step: 46000, Using test moments): 8.608184956855041
[INFO] 2020-09-17 23:41:08 > Inception score (Step: 46000, 10000 generated images): 9.865883827209473
[INFO] 2020-09-17 23:41:08 > Best FID score (Step: 46000, Using test moments): 8.608184956855041
[INFO] 2020-09-17 23:41:12 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-17 23:42:23 > Step:   46100 Progress: 46.1% Elapsed: 9:56:55 temperature: no ada_p: No Discriminator_loss: 1.64773 Generator_loss: -0.0723397 
[INFO] 2020-09-17 23:43:36 > Step:   46200 Progress: 46.2% Elapsed: 9:58:07 temperature: no ada_p: No Discriminator_loss: 1.44429 Generator_loss: 0.741297 
[INFO] 2020-09-17 23:44:47 > Step:   46300 Progress: 46.3% Elapsed: 9:59:19 temperature: no ada_p: No Discriminator_loss: 1.51209 Generator_loss: 0.107287 
[INFO] 2020-09-17 23:45:59 > Step:   46400 Progress: 46.4% Elapsed: 10:00:31 temperature: no ada_p: No Discriminator_loss: 1.53618 Generator_loss: 0.161736 
[INFO] 2020-09-17 23:47:10 > Step:   46500 Progress: 46.5% Elapsed: 10:01:41 temperature: no ada_p: No Discriminator_loss: 1.49749 Generator_loss: 0.456351 
[INFO] 2020-09-17 23:48:21 > Step:   46600 Progress: 46.6% Elapsed: 10:02:53 temperature: no ada_p: No Discriminator_loss: 1.54602 Generator_loss: 0.374806 
[INFO] 2020-09-17 23:49:32 > Step:   46700 Progress: 46.7% Elapsed: 10:04:03 temperature: no ada_p: No Discriminator_loss: 1.33376 Generator_loss: -0.0241173 
[INFO] 2020-09-17 23:50:43 > Step:   46800 Progress: 46.8% Elapsed: 10:05:14 temperature: no ada_p: No Discriminator_loss: 1.45337 Generator_loss: 0.335632 
[INFO] 2020-09-17 23:51:52 > Step:   46900 Progress: 46.9% Elapsed: 10:06:23 temperature: no ada_p: No Discriminator_loss: 1.60192 Generator_loss: -0.0386155 
[INFO] 2020-09-17 23:52:57 > Step:   47000 Progress: 47.0% Elapsed: 10:07:28 temperature: no ada_p: No Discriminator_loss: 1.64498 Generator_loss: 0.150363 
[INFO] 2020-09-17 23:54:05 > Step:   47100 Progress: 47.1% Elapsed: 10:08:36 temperature: no ada_p: No Discriminator_loss: 1.51744 Generator_loss: 0.390266 
[INFO] 2020-09-17 23:55:16 > Step:   47200 Progress: 47.2% Elapsed: 10:09:48 temperature: no ada_p: No Discriminator_loss: 1.64479 Generator_loss: 0.7608 
[INFO] 2020-09-17 23:56:26 > Step:   47300 Progress: 47.3% Elapsed: 10:10:57 temperature: no ada_p: No Discriminator_loss: 1.28047 Generator_loss: 0.106776 
[INFO] 2020-09-17 23:57:37 > Step:   47400 Progress: 47.4% Elapsed: 10:12:08 temperature: no ada_p: No Discriminator_loss: 1.52065 Generator_loss: 0.356739 
[INFO] 2020-09-17 23:58:47 > Step:   47500 Progress: 47.5% Elapsed: 10:13:18 temperature: no ada_p: No Discriminator_loss: 1.41038 Generator_loss: 0.493384 
[INFO] 2020-09-17 23:59:59 > Step:   47600 Progress: 47.6% Elapsed: 10:14:30 temperature: no ada_p: No Discriminator_loss: 1.56818 Generator_loss: 0.100492 
[INFO] 2020-09-18 00:01:09 > Step:   47700 Progress: 47.7% Elapsed: 10:15:41 temperature: no ada_p: No Discriminator_loss: 1.49571 Generator_loss: 0.498652 
[INFO] 2020-09-18 00:02:20 > Step:   47800 Progress: 47.8% Elapsed: 10:16:52 temperature: no ada_p: No Discriminator_loss: 1.53719 Generator_loss: 0.591169 
[INFO] 2020-09-18 00:03:31 > Step:   47900 Progress: 47.9% Elapsed: 10:18:03 temperature: no ada_p: No Discriminator_loss: 1.67543 Generator_loss: 0.338456 
[INFO] 2020-09-18 00:04:43 > Step:   48000 Progress: 48.0% Elapsed: 10:19:15 temperature: no ada_p: No Discriminator_loss: 1.51697 Generator_loss: 0.489339 
[INFO] 2020-09-18 00:04:43 > Start Evaluation (48000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 00:06:50 > F_8 score (Step: 48000, Using test images): 0.9913962692882977
[INFO] 2020-09-18 00:06:50 > F_1/8 score (Step: 48000, Using test images): 0.9940202720890731
[INFO] 2020-09-18 00:06:50 > FID score (Step: 48000, Using test moments): 8.46469583883811
[INFO] 2020-09-18 00:06:50 > Inception score (Step: 48000, 10000 generated images): 10.095162391662598
[INFO] 2020-09-18 00:06:50 > Best FID score (Step: 48000, Using test moments): 8.46469583883811
[INFO] 2020-09-18 00:06:54 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 00:08:07 > Step:   48100 Progress: 48.1% Elapsed: 10:22:38 temperature: no ada_p: No Discriminator_loss: 1.5907 Generator_loss: 0.0245308 
[INFO] 2020-09-18 00:09:19 > Step:   48200 Progress: 48.2% Elapsed: 10:23:50 temperature: no ada_p: No Discriminator_loss: 1.52198 Generator_loss: -0.0402185 
[INFO] 2020-09-18 00:10:31 > Step:   48300 Progress: 48.3% Elapsed: 10:25:02 temperature: no ada_p: No Discriminator_loss: 1.48191 Generator_loss: 0.352932 
[INFO] 2020-09-18 00:11:42 > Step:   48400 Progress: 48.4% Elapsed: 10:26:13 temperature: no ada_p: No Discriminator_loss: 1.55032 Generator_loss: 0.23403 
[INFO] 2020-09-18 00:12:54 > Step:   48500 Progress: 48.5% Elapsed: 10:27:25 temperature: no ada_p: No Discriminator_loss: 1.29596 Generator_loss: 0.522884 
[INFO] 2020-09-18 00:14:04 > Step:   48600 Progress: 48.6% Elapsed: 10:28:36 temperature: no ada_p: No Discriminator_loss: 1.51035 Generator_loss: -0.166935 
[INFO] 2020-09-18 00:15:16 > Step:   48700 Progress: 48.7% Elapsed: 10:29:47 temperature: no ada_p: No Discriminator_loss: 1.58224 Generator_loss: 0.245181 
[INFO] 2020-09-18 00:16:27 > Step:   48800 Progress: 48.8% Elapsed: 10:30:59 temperature: no ada_p: No Discriminator_loss: 1.42116 Generator_loss: 0.432675 
[INFO] 2020-09-18 00:17:40 > Step:   48900 Progress: 48.9% Elapsed: 10:32:11 temperature: no ada_p: No Discriminator_loss: 1.4586 Generator_loss: 0.383595 
[INFO] 2020-09-18 00:18:51 > Step:   49000 Progress: 49.0% Elapsed: 10:33:22 temperature: no ada_p: No Discriminator_loss: 1.22587 Generator_loss: 0.451225 
[INFO] 2020-09-18 00:20:02 > Step:   49100 Progress: 49.1% Elapsed: 10:34:33 temperature: no ada_p: No Discriminator_loss: 1.45147 Generator_loss: 0.232341 
[INFO] 2020-09-18 00:21:13 > Step:   49200 Progress: 49.2% Elapsed: 10:35:45 temperature: no ada_p: No Discriminator_loss: 1.59695 Generator_loss: -0.0541215 
[INFO] 2020-09-18 00:22:23 > Step:   49300 Progress: 49.3% Elapsed: 10:36:54 temperature: no ada_p: No Discriminator_loss: 1.19519 Generator_loss: 1.0301 
[INFO] 2020-09-18 00:23:35 > Step:   49400 Progress: 49.4% Elapsed: 10:38:07 temperature: no ada_p: No Discriminator_loss: 1.43303 Generator_loss: 0.236688 
[INFO] 2020-09-18 00:24:45 > Step:   49500 Progress: 49.5% Elapsed: 10:39:17 temperature: no ada_p: No Discriminator_loss: 1.51393 Generator_loss: 0.554758 
[INFO] 2020-09-18 00:25:56 > Step:   49600 Progress: 49.6% Elapsed: 10:40:27 temperature: no ada_p: No Discriminator_loss: 1.5351 Generator_loss: -0.103512 
[INFO] 2020-09-18 00:27:09 > Step:   49700 Progress: 49.7% Elapsed: 10:41:41 temperature: no ada_p: No Discriminator_loss: 1.52095 Generator_loss: 0.588791 
[INFO] 2020-09-18 00:28:21 > Step:   49800 Progress: 49.8% Elapsed: 10:42:52 temperature: no ada_p: No Discriminator_loss: 1.47033 Generator_loss: 0.349658 
[INFO] 2020-09-18 00:29:33 > Step:   49900 Progress: 49.9% Elapsed: 10:44:04 temperature: no ada_p: No Discriminator_loss: 1.39775 Generator_loss: 0.615132 
[INFO] 2020-09-18 00:30:45 > Step:   50000 Progress: 50.0% Elapsed: 10:45:16 temperature: no ada_p: No Discriminator_loss: 1.49204 Generator_loss: 0.718057 
[INFO] 2020-09-18 00:30:45 > Start Evaluation (50000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 00:32:52 > F_8 score (Step: 50000, Using test images): 0.9936797374290628
[INFO] 2020-09-18 00:32:52 > F_1/8 score (Step: 50000, Using test images): 0.99406461219856
[INFO] 2020-09-18 00:32:52 > FID score (Step: 50000, Using test moments): 8.194216214025687
[INFO] 2020-09-18 00:32:52 > Inception score (Step: 50000, 10000 generated images): 10.00407886505127
[INFO] 2020-09-18 00:32:52 > Best FID score (Step: 50000, Using test moments): 8.194216214025687
[INFO] 2020-09-18 00:32:57 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 00:34:08 > Step:   50100 Progress: 50.1% Elapsed: 10:48:40 temperature: no ada_p: No Discriminator_loss: 1.44204 Generator_loss: 0.086389 
[INFO] 2020-09-18 00:35:17 > Step:   50200 Progress: 50.2% Elapsed: 10:49:48 temperature: no ada_p: No Discriminator_loss: 1.35408 Generator_loss: 0.29575 
[INFO] 2020-09-18 00:36:23 > Step:   50300 Progress: 50.3% Elapsed: 10:50:55 temperature: no ada_p: No Discriminator_loss: 1.37061 Generator_loss: 0.275625 
[INFO] 2020-09-18 00:37:31 > Step:   50400 Progress: 50.4% Elapsed: 10:52:03 temperature: no ada_p: No Discriminator_loss: 1.33243 Generator_loss: 0.468456 
[INFO] 2020-09-18 00:38:43 > Step:   50500 Progress: 50.5% Elapsed: 10:53:14 temperature: no ada_p: No Discriminator_loss: 1.35559 Generator_loss: 0.553026 
[INFO] 2020-09-18 00:39:54 > Step:   50600 Progress: 50.6% Elapsed: 10:54:25 temperature: no ada_p: No Discriminator_loss: 1.53104 Generator_loss: 0.247176 
[INFO] 2020-09-18 00:41:07 > Step:   50700 Progress: 50.7% Elapsed: 10:55:38 temperature: no ada_p: No Discriminator_loss: 1.5787 Generator_loss: 0.352726 
[INFO] 2020-09-18 00:42:19 > Step:   50800 Progress: 50.8% Elapsed: 10:56:51 temperature: no ada_p: No Discriminator_loss: 1.59193 Generator_loss: 0.137149 
[INFO] 2020-09-18 00:43:31 > Step:   50900 Progress: 50.9% Elapsed: 10:58:02 temperature: no ada_p: No Discriminator_loss: 1.67446 Generator_loss: -0.0550713 
[INFO] 2020-09-18 00:44:43 > Step:   51000 Progress: 51.0% Elapsed: 10:59:15 temperature: no ada_p: No Discriminator_loss: 1.5648 Generator_loss: 0.189008 
[INFO] 2020-09-18 00:45:56 > Step:   51100 Progress: 51.1% Elapsed: 11:00:27 temperature: no ada_p: No Discriminator_loss: 1.36897 Generator_loss: 0.474531 
[INFO] 2020-09-18 00:47:07 > Step:   51200 Progress: 51.2% Elapsed: 11:01:38 temperature: no ada_p: No Discriminator_loss: 1.47629 Generator_loss: 0.188606 
[INFO] 2020-09-18 00:48:18 > Step:   51300 Progress: 51.3% Elapsed: 11:02:50 temperature: no ada_p: No Discriminator_loss: 1.47738 Generator_loss: 0.136579 
[INFO] 2020-09-18 00:49:30 > Step:   51400 Progress: 51.4% Elapsed: 11:04:01 temperature: no ada_p: No Discriminator_loss: 1.48013 Generator_loss: -0.0834697 
[INFO] 2020-09-18 00:50:41 > Step:   51500 Progress: 51.5% Elapsed: 11:05:12 temperature: no ada_p: No Discriminator_loss: 1.21913 Generator_loss: 0.688199 
[INFO] 2020-09-18 00:51:53 > Step:   51600 Progress: 51.6% Elapsed: 11:06:24 temperature: no ada_p: No Discriminator_loss: 1.4609 Generator_loss: 0.437516 
[INFO] 2020-09-18 00:53:04 > Step:   51700 Progress: 51.7% Elapsed: 11:07:36 temperature: no ada_p: No Discriminator_loss: 1.40603 Generator_loss: 0.335349 
[INFO] 2020-09-18 00:54:16 > Step:   51800 Progress: 51.8% Elapsed: 11:08:48 temperature: no ada_p: No Discriminator_loss: 1.4997 Generator_loss: 0.233929 
[INFO] 2020-09-18 00:55:28 > Step:   51900 Progress: 51.9% Elapsed: 11:10:00 temperature: no ada_p: No Discriminator_loss: 1.46831 Generator_loss: 0.360502 
[INFO] 2020-09-18 00:56:39 > Step:   52000 Progress: 52.0% Elapsed: 11:11:11 temperature: no ada_p: No Discriminator_loss: 1.6167 Generator_loss: -0.179054 
[INFO] 2020-09-18 00:56:39 > Start Evaluation (52000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 00:58:47 > F_8 score (Step: 52000, Using test images): 0.9910171223293361
[INFO] 2020-09-18 00:58:47 > F_1/8 score (Step: 52000, Using test images): 0.9954497898328042
[INFO] 2020-09-18 00:58:47 > FID score (Step: 52000, Using test moments): 8.239159230196833
[INFO] 2020-09-18 00:58:47 > Inception score (Step: 52000, 10000 generated images): 10.0671968460083
[INFO] 2020-09-18 00:58:47 > Best FID score (Step: 50000, Using test moments): 8.194216214025687
[INFO] 2020-09-18 00:58:49 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 01:00:01 > Step:   52100 Progress: 52.1% Elapsed: 11:14:32 temperature: no ada_p: No Discriminator_loss: 1.50668 Generator_loss: 0.307032 
[INFO] 2020-09-18 01:01:13 > Step:   52200 Progress: 52.2% Elapsed: 11:15:44 temperature: no ada_p: No Discriminator_loss: 1.40822 Generator_loss: 0.120904 
[INFO] 2020-09-18 01:02:24 > Step:   52300 Progress: 52.3% Elapsed: 11:16:56 temperature: no ada_p: No Discriminator_loss: 1.51342 Generator_loss: 0.491414 
[INFO] 2020-09-18 01:03:36 > Step:   52400 Progress: 52.4% Elapsed: 11:18:07 temperature: no ada_p: No Discriminator_loss: 1.5492 Generator_loss: 0.195883 
[INFO] 2020-09-18 01:04:47 > Step:   52500 Progress: 52.5% Elapsed: 11:19:18 temperature: no ada_p: No Discriminator_loss: 1.3771 Generator_loss: 0.733573 
[INFO] 2020-09-18 01:05:59 > Step:   52600 Progress: 52.6% Elapsed: 11:20:30 temperature: no ada_p: No Discriminator_loss: 1.41269 Generator_loss: 0.524548 
[INFO] 2020-09-18 01:07:10 > Step:   52700 Progress: 52.7% Elapsed: 11:21:41 temperature: no ada_p: No Discriminator_loss: 1.33588 Generator_loss: 0.720869 
[INFO] 2020-09-18 01:08:22 > Step:   52800 Progress: 52.8% Elapsed: 11:22:53 temperature: no ada_p: No Discriminator_loss: 1.44842 Generator_loss: 0.37022 
[INFO] 2020-09-18 01:09:31 > Step:   52900 Progress: 52.9% Elapsed: 11:24:03 temperature: no ada_p: No Discriminator_loss: 1.58534 Generator_loss: 0.253837 
[INFO] 2020-09-18 01:10:43 > Step:   53000 Progress: 53.0% Elapsed: 11:25:15 temperature: no ada_p: No Discriminator_loss: 1.50497 Generator_loss: 0.592613 
[INFO] 2020-09-18 01:11:55 > Step:   53100 Progress: 53.1% Elapsed: 11:26:26 temperature: no ada_p: No Discriminator_loss: 1.4222 Generator_loss: 0.718723 
[INFO] 2020-09-18 01:13:06 > Step:   53200 Progress: 53.2% Elapsed: 11:27:38 temperature: no ada_p: No Discriminator_loss: 1.56169 Generator_loss: 0.470732 
[INFO] 2020-09-18 01:14:17 > Step:   53300 Progress: 53.3% Elapsed: 11:28:48 temperature: no ada_p: No Discriminator_loss: 1.60382 Generator_loss: 0.274776 
[INFO] 2020-09-18 01:15:28 > Step:   53400 Progress: 53.4% Elapsed: 11:29:59 temperature: no ada_p: No Discriminator_loss: 1.33521 Generator_loss: 0.670377 
[INFO] 2020-09-18 01:16:39 > Step:   53500 Progress: 53.5% Elapsed: 11:31:10 temperature: no ada_p: No Discriminator_loss: 1.47529 Generator_loss: 0.182539 
[INFO] 2020-09-18 01:17:50 > Step:   53600 Progress: 53.6% Elapsed: 11:32:22 temperature: no ada_p: No Discriminator_loss: 1.41374 Generator_loss: 0.479915 
[INFO] 2020-09-18 01:18:56 > Step:   53700 Progress: 53.7% Elapsed: 11:33:27 temperature: no ada_p: No Discriminator_loss: 1.43357 Generator_loss: -0.187572 
[INFO] 2020-09-18 01:20:01 > Step:   53800 Progress: 53.8% Elapsed: 11:34:33 temperature: no ada_p: No Discriminator_loss: 1.40067 Generator_loss: 0.291692 
[INFO] 2020-09-18 01:21:12 > Step:   53900 Progress: 53.9% Elapsed: 11:35:43 temperature: no ada_p: No Discriminator_loss: 1.31399 Generator_loss: 0.539527 
[INFO] 2020-09-18 01:22:22 > Step:   54000 Progress: 54.0% Elapsed: 11:36:53 temperature: no ada_p: No Discriminator_loss: 1.32496 Generator_loss: 0.404159 
[INFO] 2020-09-18 01:22:22 > Start Evaluation (54000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 01:24:29 > F_8 score (Step: 54000, Using test images): 0.9929117805883526
[INFO] 2020-09-18 01:24:29 > F_1/8 score (Step: 54000, Using test images): 0.9944433139646757
[INFO] 2020-09-18 01:24:29 > FID score (Step: 54000, Using test moments): 8.014942892621036
[INFO] 2020-09-18 01:24:29 > Inception score (Step: 54000, 10000 generated images): 10.087419509887695
[INFO] 2020-09-18 01:24:29 > Best FID score (Step: 54000, Using test moments): 8.014942892621036
[INFO] 2020-09-18 01:24:33 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 01:25:45 > Step:   54100 Progress: 54.1% Elapsed: 11:40:16 temperature: no ada_p: No Discriminator_loss: 1.67783 Generator_loss: 0.387194 
[INFO] 2020-09-18 01:26:57 > Step:   54200 Progress: 54.2% Elapsed: 11:41:28 temperature: no ada_p: No Discriminator_loss: 1.59435 Generator_loss: 0.636856 
[INFO] 2020-09-18 01:28:10 > Step:   54300 Progress: 54.3% Elapsed: 11:42:41 temperature: no ada_p: No Discriminator_loss: 1.42376 Generator_loss: 0.266887 
[INFO] 2020-09-18 01:29:23 > Step:   54400 Progress: 54.4% Elapsed: 11:43:54 temperature: no ada_p: No Discriminator_loss: 1.34486 Generator_loss: 0.198851 
[INFO] 2020-09-18 01:30:34 > Step:   54500 Progress: 54.5% Elapsed: 11:45:05 temperature: no ada_p: No Discriminator_loss: 1.40831 Generator_loss: 0.346502 
[INFO] 2020-09-18 01:31:46 > Step:   54600 Progress: 54.6% Elapsed: 11:46:17 temperature: no ada_p: No Discriminator_loss: 1.31494 Generator_loss: 0.0857647 
[INFO] 2020-09-18 01:32:58 > Step:   54700 Progress: 54.7% Elapsed: 11:47:29 temperature: no ada_p: No Discriminator_loss: 1.3092 Generator_loss: 0.876233 
[INFO] 2020-09-18 01:34:10 > Step:   54800 Progress: 54.8% Elapsed: 11:48:41 temperature: no ada_p: No Discriminator_loss: 1.65559 Generator_loss: 0.154442 
[INFO] 2020-09-18 01:35:22 > Step:   54900 Progress: 54.9% Elapsed: 11:49:54 temperature: no ada_p: No Discriminator_loss: 1.217 Generator_loss: 0.88228 
[INFO] 2020-09-18 01:36:33 > Step:   55000 Progress: 55.0% Elapsed: 11:51:04 temperature: no ada_p: No Discriminator_loss: 1.31312 Generator_loss: 0.445089 
[INFO] 2020-09-18 01:37:43 > Step:   55100 Progress: 55.1% Elapsed: 11:52:14 temperature: no ada_p: No Discriminator_loss: 1.56561 Generator_loss: -0.101369 
[INFO] 2020-09-18 01:38:54 > Step:   55200 Progress: 55.2% Elapsed: 11:53:25 temperature: no ada_p: No Discriminator_loss: 1.4829 Generator_loss: 0.174493 
[INFO] 2020-09-18 01:40:06 > Step:   55300 Progress: 55.3% Elapsed: 11:54:37 temperature: no ada_p: No Discriminator_loss: 1.40525 Generator_loss: 0.212513 
[INFO] 2020-09-18 01:41:17 > Step:   55400 Progress: 55.4% Elapsed: 11:55:49 temperature: no ada_p: No Discriminator_loss: 1.37376 Generator_loss: 0.381994 
[INFO] 2020-09-18 01:42:29 > Step:   55500 Progress: 55.5% Elapsed: 11:57:01 temperature: no ada_p: No Discriminator_loss: 1.34131 Generator_loss: 0.0738151 
[INFO] 2020-09-18 01:43:41 > Step:   55600 Progress: 55.6% Elapsed: 11:58:12 temperature: no ada_p: No Discriminator_loss: 1.57561 Generator_loss: 0.082089 
[INFO] 2020-09-18 01:44:51 > Step:   55700 Progress: 55.7% Elapsed: 11:59:22 temperature: no ada_p: No Discriminator_loss: 1.41365 Generator_loss: 0.53468 
[INFO] 2020-09-18 01:46:02 > Step:   55800 Progress: 55.8% Elapsed: 12:00:33 temperature: no ada_p: No Discriminator_loss: 1.41246 Generator_loss: 0.333371 
[INFO] 2020-09-18 01:47:12 > Step:   55900 Progress: 55.9% Elapsed: 12:01:43 temperature: no ada_p: No Discriminator_loss: 1.57656 Generator_loss: 0.251488 
[INFO] 2020-09-18 01:48:24 > Step:   56000 Progress: 56.0% Elapsed: 12:02:55 temperature: no ada_p: No Discriminator_loss: 1.36484 Generator_loss: 0.285934 
[INFO] 2020-09-18 01:48:24 > Start Evaluation (56000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 01:50:31 > F_8 score (Step: 56000, Using test images): 0.9931429006423054
[INFO] 2020-09-18 01:50:31 > F_1/8 score (Step: 56000, Using test images): 0.9932075484936623
[INFO] 2020-09-18 01:50:31 > FID score (Step: 56000, Using test moments): 8.048982184846068
[INFO] 2020-09-18 01:50:31 > Inception score (Step: 56000, 10000 generated images): 10.170463562011719
[INFO] 2020-09-18 01:50:31 > Best FID score (Step: 54000, Using test moments): 8.014942892621036
[INFO] 2020-09-18 01:50:33 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 01:51:44 > Step:   56100 Progress: 56.1% Elapsed: 12:06:16 temperature: no ada_p: No Discriminator_loss: 1.60314 Generator_loss: 0.142559 
[INFO] 2020-09-18 01:52:57 > Step:   56200 Progress: 56.2% Elapsed: 12:07:28 temperature: no ada_p: No Discriminator_loss: 1.592 Generator_loss: 0.184827 
[INFO] 2020-09-18 01:54:08 > Step:   56300 Progress: 56.3% Elapsed: 12:08:40 temperature: no ada_p: No Discriminator_loss: 1.54881 Generator_loss: 0.230968 
[INFO] 2020-09-18 01:55:21 > Step:   56400 Progress: 56.4% Elapsed: 12:09:52 temperature: no ada_p: No Discriminator_loss: 1.3086 Generator_loss: 0.52374 
[INFO] 2020-09-18 01:56:32 > Step:   56500 Progress: 56.5% Elapsed: 12:11:03 temperature: no ada_p: No Discriminator_loss: 1.54633 Generator_loss: 0.340669 
[INFO] 2020-09-18 01:57:44 > Step:   56600 Progress: 56.6% Elapsed: 12:12:15 temperature: no ada_p: No Discriminator_loss: 1.49461 Generator_loss: 0.565942 
[INFO] 2020-09-18 01:58:54 > Step:   56700 Progress: 56.7% Elapsed: 12:13:26 temperature: no ada_p: No Discriminator_loss: 1.6416 Generator_loss: 0.134855 
[INFO] 2020-09-18 02:00:06 > Step:   56800 Progress: 56.8% Elapsed: 12:14:38 temperature: no ada_p: No Discriminator_loss: 1.44513 Generator_loss: 0.437577 
[INFO] 2020-09-18 02:01:18 > Step:   56900 Progress: 56.9% Elapsed: 12:15:49 temperature: no ada_p: No Discriminator_loss: 1.51971 Generator_loss: 0.622803 
[INFO] 2020-09-18 02:02:24 > Step:   57000 Progress: 57.0% Elapsed: 12:16:55 temperature: no ada_p: No Discriminator_loss: 1.38304 Generator_loss: 0.608641 
[INFO] 2020-09-18 02:03:29 > Step:   57100 Progress: 57.1% Elapsed: 12:18:01 temperature: no ada_p: No Discriminator_loss: 1.53281 Generator_loss: 0.00638936 
[INFO] 2020-09-18 02:04:40 > Step:   57200 Progress: 57.2% Elapsed: 12:19:11 temperature: no ada_p: No Discriminator_loss: 1.59392 Generator_loss: -0.0532737 
[INFO] 2020-09-18 02:05:50 > Step:   57300 Progress: 57.3% Elapsed: 12:20:22 temperature: no ada_p: No Discriminator_loss: 1.46837 Generator_loss: 0.410842 
[INFO] 2020-09-18 02:07:02 > Step:   57400 Progress: 57.4% Elapsed: 12:21:33 temperature: no ada_p: No Discriminator_loss: 1.59451 Generator_loss: 0.241495 
[INFO] 2020-09-18 02:08:13 > Step:   57500 Progress: 57.5% Elapsed: 12:22:45 temperature: no ada_p: No Discriminator_loss: 1.60141 Generator_loss: 0.574339 
[INFO] 2020-09-18 02:09:24 > Step:   57600 Progress: 57.6% Elapsed: 12:23:55 temperature: no ada_p: No Discriminator_loss: 1.45969 Generator_loss: 0.179162 
[INFO] 2020-09-18 02:10:34 > Step:   57700 Progress: 57.7% Elapsed: 12:25:06 temperature: no ada_p: No Discriminator_loss: 1.44043 Generator_loss: 0.240118 
[INFO] 2020-09-18 02:11:45 > Step:   57800 Progress: 57.8% Elapsed: 12:26:17 temperature: no ada_p: No Discriminator_loss: 1.41545 Generator_loss: 0.419806 
[INFO] 2020-09-18 02:12:57 > Step:   57900 Progress: 57.9% Elapsed: 12:27:28 temperature: no ada_p: No Discriminator_loss: 1.41973 Generator_loss: 0.282453 
[INFO] 2020-09-18 02:14:09 > Step:   58000 Progress: 58.0% Elapsed: 12:28:40 temperature: no ada_p: No Discriminator_loss: 1.54049 Generator_loss: 0.322333 
[INFO] 2020-09-18 02:14:09 > Start Evaluation (58000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 02:16:15 > F_8 score (Step: 58000, Using test images): 0.9927606246037821
[INFO] 2020-09-18 02:16:15 > F_1/8 score (Step: 58000, Using test images): 0.9944260830307351
[INFO] 2020-09-18 02:16:15 > FID score (Step: 58000, Using test moments): 7.934167902357046
[INFO] 2020-09-18 02:16:15 > Inception score (Step: 58000, 10000 generated images): 10.125251770019531
[INFO] 2020-09-18 02:16:15 > Best FID score (Step: 58000, Using test moments): 7.934167902357046
[INFO] 2020-09-18 02:16:20 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 02:17:30 > Step:   58100 Progress: 58.1% Elapsed: 12:32:02 temperature: no ada_p: No Discriminator_loss: 1.56033 Generator_loss: 0.240338 
[INFO] 2020-09-18 02:18:41 > Step:   58200 Progress: 58.2% Elapsed: 12:33:12 temperature: no ada_p: No Discriminator_loss: 1.39701 Generator_loss: 0.297584 
[INFO] 2020-09-18 02:19:53 > Step:   58300 Progress: 58.3% Elapsed: 12:34:25 temperature: no ada_p: No Discriminator_loss: 1.5877 Generator_loss: 0.264824 
[INFO] 2020-09-18 02:21:06 > Step:   58400 Progress: 58.4% Elapsed: 12:35:37 temperature: no ada_p: No Discriminator_loss: 1.53255 Generator_loss: 0.367947 
[INFO] 2020-09-18 02:22:18 > Step:   58500 Progress: 58.5% Elapsed: 12:36:49 temperature: no ada_p: No Discriminator_loss: 1.54056 Generator_loss: 0.152069 
[INFO] 2020-09-18 02:23:29 > Step:   58600 Progress: 58.6% Elapsed: 12:38:01 temperature: no ada_p: No Discriminator_loss: 1.55224 Generator_loss: 0.685596 
[INFO] 2020-09-18 02:24:40 > Step:   58700 Progress: 58.7% Elapsed: 12:39:11 temperature: no ada_p: No Discriminator_loss: 1.51713 Generator_loss: 0.402059 
[INFO] 2020-09-18 02:25:52 > Step:   58800 Progress: 58.8% Elapsed: 12:40:23 temperature: no ada_p: No Discriminator_loss: 1.6043 Generator_loss: 0.100344 
[INFO] 2020-09-18 02:27:04 > Step:   58900 Progress: 58.9% Elapsed: 12:41:35 temperature: no ada_p: No Discriminator_loss: 1.55712 Generator_loss: 0.1681 
[INFO] 2020-09-18 02:28:16 > Step:   59000 Progress: 59.0% Elapsed: 12:42:47 temperature: no ada_p: No Discriminator_loss: 1.38355 Generator_loss: 0.615053 
[INFO] 2020-09-18 02:29:28 > Step:   59100 Progress: 59.1% Elapsed: 12:43:59 temperature: no ada_p: No Discriminator_loss: 1.54801 Generator_loss: 0.429966 
[INFO] 2020-09-18 02:30:40 > Step:   59200 Progress: 59.2% Elapsed: 12:45:11 temperature: no ada_p: No Discriminator_loss: 1.38045 Generator_loss: 0.607118 
[INFO] 2020-09-18 02:31:51 > Step:   59300 Progress: 59.3% Elapsed: 12:46:22 temperature: no ada_p: No Discriminator_loss: 1.50647 Generator_loss: 0.281952 
[INFO] 2020-09-18 02:33:03 > Step:   59400 Progress: 59.4% Elapsed: 12:47:34 temperature: no ada_p: No Discriminator_loss: 1.45945 Generator_loss: 0.210854 
[INFO] 2020-09-18 02:34:14 > Step:   59500 Progress: 59.5% Elapsed: 12:48:46 temperature: no ada_p: No Discriminator_loss: 1.52559 Generator_loss: 0.11495 
[INFO] 2020-09-18 02:35:25 > Step:   59600 Progress: 59.6% Elapsed: 12:49:57 temperature: no ada_p: No Discriminator_loss: 1.47824 Generator_loss: 0.355789 
[INFO] 2020-09-18 02:36:37 > Step:   59700 Progress: 59.7% Elapsed: 12:51:09 temperature: no ada_p: No Discriminator_loss: 1.49191 Generator_loss: 0.15915 
[INFO] 2020-09-18 02:37:49 > Step:   59800 Progress: 59.8% Elapsed: 12:52:20 temperature: no ada_p: No Discriminator_loss: 1.63849 Generator_loss: -0.254181 
[INFO] 2020-09-18 02:39:01 > Step:   59900 Progress: 59.9% Elapsed: 12:53:32 temperature: no ada_p: No Discriminator_loss: 1.40164 Generator_loss: 0.231019 
[INFO] 2020-09-18 02:40:12 > Step:   60000 Progress: 60.0% Elapsed: 12:54:43 temperature: no ada_p: No Discriminator_loss: 1.29507 Generator_loss: 0.0801723 
[INFO] 2020-09-18 02:40:12 > Start Evaluation (60000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 02:42:18 > F_8 score (Step: 60000, Using test images): 0.9942866296373783
[INFO] 2020-09-18 02:42:18 > F_1/8 score (Step: 60000, Using test images): 0.9948770813373916
[INFO] 2020-09-18 02:42:18 > FID score (Step: 60000, Using test moments): 7.8597864021404575
[INFO] 2020-09-18 02:42:18 > Inception score (Step: 60000, 10000 generated images): 10.133395195007324
[INFO] 2020-09-18 02:42:18 > Best FID score (Step: 60000, Using test moments): 7.8597864021404575
[INFO] 2020-09-18 02:42:22 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 02:43:34 > Step:   60100 Progress: 60.1% Elapsed: 12:58:05 temperature: no ada_p: No Discriminator_loss: 1.49418 Generator_loss: 0.597962 
[INFO] 2020-09-18 02:44:45 > Step:   60200 Progress: 60.2% Elapsed: 12:59:16 temperature: no ada_p: No Discriminator_loss: 1.50787 Generator_loss: 0.607163 
[INFO] 2020-09-18 02:45:51 > Step:   60300 Progress: 60.3% Elapsed: 13:00:22 temperature: no ada_p: No Discriminator_loss: 1.57161 Generator_loss: 0.368282 
[INFO] 2020-09-18 02:46:57 > Step:   60400 Progress: 60.4% Elapsed: 13:01:28 temperature: no ada_p: No Discriminator_loss: 1.52026 Generator_loss: 0.411064 
[INFO] 2020-09-18 02:48:10 > Step:   60500 Progress: 60.5% Elapsed: 13:02:41 temperature: no ada_p: No Discriminator_loss: 1.46457 Generator_loss: 0.260171 
[INFO] 2020-09-18 02:49:21 > Step:   60600 Progress: 60.6% Elapsed: 13:03:53 temperature: no ada_p: No Discriminator_loss: 1.53548 Generator_loss: 0.69709 
[INFO] 2020-09-18 02:50:33 > Step:   60700 Progress: 60.7% Elapsed: 13:05:04 temperature: no ada_p: No Discriminator_loss: 1.51396 Generator_loss: 0.348634 
[INFO] 2020-09-18 02:51:46 > Step:   60800 Progress: 60.8% Elapsed: 13:06:17 temperature: no ada_p: No Discriminator_loss: 1.60881 Generator_loss: 0.273662 
[INFO] 2020-09-18 02:52:56 > Step:   60900 Progress: 60.9% Elapsed: 13:07:28 temperature: no ada_p: No Discriminator_loss: 1.55444 Generator_loss: 0.423456 
[INFO] 2020-09-18 02:54:07 > Step:   61000 Progress: 61.0% Elapsed: 13:08:38 temperature: no ada_p: No Discriminator_loss: 1.14659 Generator_loss: 0.213441 
[INFO] 2020-09-18 02:55:19 > Step:   61100 Progress: 61.1% Elapsed: 13:09:50 temperature: no ada_p: No Discriminator_loss: 1.43694 Generator_loss: 0.453264 
[INFO] 2020-09-18 02:56:30 > Step:   61200 Progress: 61.2% Elapsed: 13:11:01 temperature: no ada_p: No Discriminator_loss: 1.46971 Generator_loss: 0.451823 
[INFO] 2020-09-18 02:57:40 > Step:   61300 Progress: 61.3% Elapsed: 13:12:12 temperature: no ada_p: No Discriminator_loss: 1.58706 Generator_loss: -0.0250729 
[INFO] 2020-09-18 02:58:51 > Step:   61400 Progress: 61.4% Elapsed: 13:13:23 temperature: no ada_p: No Discriminator_loss: 1.59827 Generator_loss: 0.594203 
[INFO] 2020-09-18 03:00:03 > Step:   61500 Progress: 61.5% Elapsed: 13:14:34 temperature: no ada_p: No Discriminator_loss: 1.30522 Generator_loss: 0.759141 
[INFO] 2020-09-18 03:01:14 > Step:   61600 Progress: 61.6% Elapsed: 13:15:45 temperature: no ada_p: No Discriminator_loss: 1.52907 Generator_loss: 0.0686695 
[INFO] 2020-09-18 03:02:26 > Step:   61700 Progress: 61.7% Elapsed: 13:16:57 temperature: no ada_p: No Discriminator_loss: 1.46082 Generator_loss: 0.275435 
[INFO] 2020-09-18 03:03:38 > Step:   61800 Progress: 61.8% Elapsed: 13:18:09 temperature: no ada_p: No Discriminator_loss: 1.35976 Generator_loss: 0.279209 
[INFO] 2020-09-18 03:04:49 > Step:   61900 Progress: 61.9% Elapsed: 13:19:20 temperature: no ada_p: No Discriminator_loss: 1.57963 Generator_loss: 0.147546 
[INFO] 2020-09-18 03:06:00 > Step:   62000 Progress: 62.0% Elapsed: 13:20:31 temperature: no ada_p: No Discriminator_loss: 1.52735 Generator_loss: -0.333128 
[INFO] 2020-09-18 03:06:00 > Start Evaluation (62000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 03:08:07 > F_8 score (Step: 62000, Using test images): 0.9929305820621174
[INFO] 2020-09-18 03:08:07 > F_1/8 score (Step: 62000, Using test images): 0.9949099625882352
[INFO] 2020-09-18 03:08:07 > FID score (Step: 62000, Using test moments): 7.679344680322174
[INFO] 2020-09-18 03:08:07 > Inception score (Step: 62000, 10000 generated images): 9.980340003967285
[INFO] 2020-09-18 03:08:07 > Best FID score (Step: 62000, Using test moments): 7.679344680322174
[INFO] 2020-09-18 03:08:11 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 03:09:22 > Step:   62100 Progress: 62.1% Elapsed: 13:23:53 temperature: no ada_p: No Discriminator_loss: 1.43108 Generator_loss: 0.737808 
[INFO] 2020-09-18 03:10:35 > Step:   62200 Progress: 62.2% Elapsed: 13:25:06 temperature: no ada_p: No Discriminator_loss: 1.5067 Generator_loss: 0.632635 
[INFO] 2020-09-18 03:11:46 > Step:   62300 Progress: 62.3% Elapsed: 13:26:17 temperature: no ada_p: No Discriminator_loss: 1.46017 Generator_loss: 0.644315 
[INFO] 2020-09-18 03:12:56 > Step:   62400 Progress: 62.4% Elapsed: 13:27:27 temperature: no ada_p: No Discriminator_loss: 1.17347 Generator_loss: 0.371995 
[INFO] 2020-09-18 03:14:08 > Step:   62500 Progress: 62.5% Elapsed: 13:28:40 temperature: no ada_p: No Discriminator_loss: 1.49642 Generator_loss: 0.0904816 
[INFO] 2020-09-18 03:15:19 > Step:   62600 Progress: 62.6% Elapsed: 13:29:51 temperature: no ada_p: No Discriminator_loss: 1.61403 Generator_loss: 0.148545 
[INFO] 2020-09-18 03:16:31 > Step:   62700 Progress: 62.7% Elapsed: 13:31:02 temperature: no ada_p: No Discriminator_loss: 1.34447 Generator_loss: 0.133917 
[INFO] 2020-09-18 03:17:42 > Step:   62800 Progress: 62.8% Elapsed: 13:32:13 temperature: no ada_p: No Discriminator_loss: 1.32752 Generator_loss: 0.428314 
[INFO] 2020-09-18 03:18:53 > Step:   62900 Progress: 62.9% Elapsed: 13:33:24 temperature: no ada_p: No Discriminator_loss: 1.44914 Generator_loss: 0.391175 
[INFO] 2020-09-18 03:20:04 > Step:   63000 Progress: 63.0% Elapsed: 13:34:35 temperature: no ada_p: No Discriminator_loss: 1.4728 Generator_loss: 0.408908 
[INFO] 2020-09-18 03:21:15 > Step:   63100 Progress: 63.1% Elapsed: 13:35:46 temperature: no ada_p: No Discriminator_loss: 1.4757 Generator_loss: 0.315336 
[INFO] 2020-09-18 03:22:26 > Step:   63200 Progress: 63.2% Elapsed: 13:36:58 temperature: no ada_p: No Discriminator_loss: 1.57308 Generator_loss: 0.547215 
[INFO] 2020-09-18 03:23:39 > Step:   63300 Progress: 63.3% Elapsed: 13:38:10 temperature: no ada_p: No Discriminator_loss: 1.4229 Generator_loss: 0.360146 
[INFO] 2020-09-18 03:24:50 > Step:   63400 Progress: 63.4% Elapsed: 13:39:21 temperature: no ada_p: No Discriminator_loss: 1.52039 Generator_loss: 0.0673801 
[INFO] 2020-09-18 03:26:01 > Step:   63500 Progress: 63.5% Elapsed: 13:40:32 temperature: no ada_p: No Discriminator_loss: 1.31149 Generator_loss: 0.579989 
[INFO] 2020-09-18 03:27:12 > Step:   63600 Progress: 63.6% Elapsed: 13:41:43 temperature: no ada_p: No Discriminator_loss: 1.56609 Generator_loss: 0.180699 
[INFO] 2020-09-18 03:28:21 > Step:   63700 Progress: 63.7% Elapsed: 13:42:52 temperature: no ada_p: No Discriminator_loss: 1.52819 Generator_loss: 0.395353 
[INFO] 2020-09-18 03:29:27 > Step:   63800 Progress: 63.8% Elapsed: 13:43:58 temperature: no ada_p: No Discriminator_loss: 1.50449 Generator_loss: 0.672307 
[INFO] 2020-09-18 03:30:34 > Step:   63900 Progress: 63.9% Elapsed: 13:45:05 temperature: no ada_p: No Discriminator_loss: 1.3859 Generator_loss: 0.253506 
[INFO] 2020-09-18 03:31:45 > Step:   64000 Progress: 64.0% Elapsed: 13:46:16 temperature: no ada_p: No Discriminator_loss: 1.50147 Generator_loss: 0.5709 
[INFO] 2020-09-18 03:31:45 > Start Evaluation (64000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 03:33:52 > F_8 score (Step: 64000, Using test images): 0.9934123158536212
[INFO] 2020-09-18 03:33:52 > F_1/8 score (Step: 64000, Using test images): 0.9948474060866624
[INFO] 2020-09-18 03:33:52 > FID score (Step: 64000, Using test moments): 7.619330465438452
[INFO] 2020-09-18 03:33:52 > Inception score (Step: 64000, 10000 generated images): 10.023351669311523
[INFO] 2020-09-18 03:33:52 > Best FID score (Step: 64000, Using test moments): 7.619330465438452
[INFO] 2020-09-18 03:33:57 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 03:35:08 > Step:   64100 Progress: 64.1% Elapsed: 13:49:39 temperature: no ada_p: No Discriminator_loss: 1.36149 Generator_loss: 0.304429 
[INFO] 2020-09-18 03:36:19 > Step:   64200 Progress: 64.2% Elapsed: 13:50:50 temperature: no ada_p: No Discriminator_loss: 1.50205 Generator_loss: 0.0503486 
[INFO] 2020-09-18 03:37:30 > Step:   64300 Progress: 64.3% Elapsed: 13:52:01 temperature: no ada_p: No Discriminator_loss: 1.55397 Generator_loss: -0.054925 
[INFO] 2020-09-18 03:38:41 > Step:   64400 Progress: 64.4% Elapsed: 13:53:13 temperature: no ada_p: No Discriminator_loss: 1.40279 Generator_loss: 0.750318 
[INFO] 2020-09-18 03:39:52 > Step:   64500 Progress: 64.5% Elapsed: 13:54:24 temperature: no ada_p: No Discriminator_loss: 1.58029 Generator_loss: 0.188993 
[INFO] 2020-09-18 03:41:05 > Step:   64600 Progress: 64.6% Elapsed: 13:55:36 temperature: no ada_p: No Discriminator_loss: 1.38162 Generator_loss: 0.410592 
[INFO] 2020-09-18 03:42:17 > Step:   64700 Progress: 64.7% Elapsed: 13:56:48 temperature: no ada_p: No Discriminator_loss: 1.36273 Generator_loss: 0.336962 
[INFO] 2020-09-18 03:43:28 > Step:   64800 Progress: 64.8% Elapsed: 13:58:00 temperature: no ada_p: No Discriminator_loss: 1.53711 Generator_loss: 0.183246 
[INFO] 2020-09-18 03:44:39 > Step:   64900 Progress: 64.9% Elapsed: 13:59:10 temperature: no ada_p: No Discriminator_loss: 1.46698 Generator_loss: -0.146474 
[INFO] 2020-09-18 03:45:51 > Step:   65000 Progress: 65.0% Elapsed: 14:00:23 temperature: no ada_p: No Discriminator_loss: 1.5786 Generator_loss: -0.00532231 
[INFO] 2020-09-18 03:47:04 > Step:   65100 Progress: 65.1% Elapsed: 14:01:35 temperature: no ada_p: No Discriminator_loss: 1.43388 Generator_loss: 0.311901 
[INFO] 2020-09-18 03:48:16 > Step:   65200 Progress: 65.2% Elapsed: 14:02:47 temperature: no ada_p: No Discriminator_loss: 1.31024 Generator_loss: 0.365686 
[INFO] 2020-09-18 03:49:26 > Step:   65300 Progress: 65.3% Elapsed: 14:03:58 temperature: no ada_p: No Discriminator_loss: 1.45451 Generator_loss: 0.0297769 
[INFO] 2020-09-18 03:50:37 > Step:   65400 Progress: 65.4% Elapsed: 14:05:09 temperature: no ada_p: No Discriminator_loss: 1.64151 Generator_loss: 0.179009 
[INFO] 2020-09-18 03:51:49 > Step:   65500 Progress: 65.5% Elapsed: 14:06:20 temperature: no ada_p: No Discriminator_loss: 1.40465 Generator_loss: 0.555341 
[INFO] 2020-09-18 03:52:59 > Step:   65600 Progress: 65.6% Elapsed: 14:07:30 temperature: no ada_p: No Discriminator_loss: 1.27916 Generator_loss: 0.461362 
[INFO] 2020-09-18 03:54:10 > Step:   65700 Progress: 65.7% Elapsed: 14:08:42 temperature: no ada_p: No Discriminator_loss: 1.52371 Generator_loss: 0.350844 
[INFO] 2020-09-18 03:55:21 > Step:   65800 Progress: 65.8% Elapsed: 14:09:53 temperature: no ada_p: No Discriminator_loss: 1.52468 Generator_loss: 0.151915 
[INFO] 2020-09-18 03:56:32 > Step:   65900 Progress: 65.9% Elapsed: 14:11:03 temperature: no ada_p: No Discriminator_loss: 1.27774 Generator_loss: 0.509083 
[INFO] 2020-09-18 03:57:43 > Step:   66000 Progress: 66.0% Elapsed: 14:12:15 temperature: no ada_p: No Discriminator_loss: 1.2893 Generator_loss: 0.669122 
[INFO] 2020-09-18 03:57:43 > Start Evaluation (66000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 03:59:51 > F_8 score (Step: 66000, Using test images): 0.9928179881629454
[INFO] 2020-09-18 03:59:51 > F_1/8 score (Step: 66000, Using test images): 0.9945669228884761
[INFO] 2020-09-18 03:59:51 > FID score (Step: 66000, Using test moments): 7.756492090460426
[INFO] 2020-09-18 03:59:51 > Inception score (Step: 66000, 10000 generated images): 10.067391395568848
[INFO] 2020-09-18 03:59:51 > Best FID score (Step: 64000, Using test moments): 7.619330465438452
[INFO] 2020-09-18 03:59:54 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 04:01:06 > Step:   66100 Progress: 66.1% Elapsed: 14:15:37 temperature: no ada_p: No Discriminator_loss: 1.48553 Generator_loss: 0.437232 
[INFO] 2020-09-18 04:02:17 > Step:   66200 Progress: 66.2% Elapsed: 14:16:48 temperature: no ada_p: No Discriminator_loss: 1.65582 Generator_loss: 0.241173 
[INFO] 2020-09-18 04:03:28 > Step:   66300 Progress: 66.3% Elapsed: 14:17:59 temperature: no ada_p: No Discriminator_loss: 1.41148 Generator_loss: 0.721023 
[INFO] 2020-09-18 04:04:40 > Step:   66400 Progress: 66.4% Elapsed: 14:19:11 temperature: no ada_p: No Discriminator_loss: 1.49437 Generator_loss: 0.230232 
[INFO] 2020-09-18 04:05:51 > Step:   66500 Progress: 66.5% Elapsed: 14:20:22 temperature: no ada_p: No Discriminator_loss: 1.40556 Generator_loss: 0.22695 
[INFO] 2020-09-18 04:07:02 > Step:   66600 Progress: 66.6% Elapsed: 14:21:34 temperature: no ada_p: No Discriminator_loss: 1.32843 Generator_loss: -0.034227 
[INFO] 2020-09-18 04:08:14 > Step:   66700 Progress: 66.7% Elapsed: 14:22:45 temperature: no ada_p: No Discriminator_loss: 1.48818 Generator_loss: 0.0702343 
[INFO] 2020-09-18 04:09:25 > Step:   66800 Progress: 66.8% Elapsed: 14:23:56 temperature: no ada_p: No Discriminator_loss: 1.39659 Generator_loss: 0.344609 
[INFO] 2020-09-18 04:10:36 > Step:   66900 Progress: 66.9% Elapsed: 14:25:07 temperature: no ada_p: No Discriminator_loss: 1.33967 Generator_loss: 0.483065 
[INFO] 2020-09-18 04:11:45 > Step:   67000 Progress: 67.0% Elapsed: 14:26:16 temperature: no ada_p: No Discriminator_loss: 1.43765 Generator_loss: 0.522187 
[INFO] 2020-09-18 04:12:50 > Step:   67100 Progress: 67.1% Elapsed: 14:27:22 temperature: no ada_p: No Discriminator_loss: 1.4008 Generator_loss: 0.608482 
[INFO] 2020-09-18 04:13:58 > Step:   67200 Progress: 67.2% Elapsed: 14:28:29 temperature: no ada_p: No Discriminator_loss: 1.46138 Generator_loss: 0.651826 
[INFO] 2020-09-18 04:15:08 > Step:   67300 Progress: 67.3% Elapsed: 14:29:39 temperature: no ada_p: No Discriminator_loss: 1.45404 Generator_loss: 0.0182352 
[INFO] 2020-09-18 04:16:18 > Step:   67400 Progress: 67.4% Elapsed: 14:30:50 temperature: no ada_p: No Discriminator_loss: 1.51743 Generator_loss: 0.268513 
[INFO] 2020-09-18 04:17:28 > Step:   67500 Progress: 67.5% Elapsed: 14:32:00 temperature: no ada_p: No Discriminator_loss: 1.37755 Generator_loss: 0.300028 
[INFO] 2020-09-18 04:18:38 > Step:   67600 Progress: 67.6% Elapsed: 14:33:10 temperature: no ada_p: No Discriminator_loss: 1.50287 Generator_loss: -0.103778 
[INFO] 2020-09-18 04:19:49 > Step:   67700 Progress: 67.7% Elapsed: 14:34:21 temperature: no ada_p: No Discriminator_loss: 1.55196 Generator_loss: 0.243469 
[INFO] 2020-09-18 04:20:59 > Step:   67800 Progress: 67.8% Elapsed: 14:35:31 temperature: no ada_p: No Discriminator_loss: 1.42016 Generator_loss: 0.489638 
[INFO] 2020-09-18 04:22:11 > Step:   67900 Progress: 67.9% Elapsed: 14:36:42 temperature: no ada_p: No Discriminator_loss: 1.50003 Generator_loss: 0.113306 
[INFO] 2020-09-18 04:23:21 > Step:   68000 Progress: 68.0% Elapsed: 14:37:53 temperature: no ada_p: No Discriminator_loss: 1.71768 Generator_loss: -0.154773 
[INFO] 2020-09-18 04:23:21 > Start Evaluation (68000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 04:25:27 > F_8 score (Step: 68000, Using test images): 0.9929625240160574
[INFO] 2020-09-18 04:25:27 > F_1/8 score (Step: 68000, Using test images): 0.9952397359786268
[INFO] 2020-09-18 04:25:27 > FID score (Step: 68000, Using test moments): 7.591563876345106
[INFO] 2020-09-18 04:25:27 > Inception score (Step: 68000, 10000 generated images): 10.070651054382324
[INFO] 2020-09-18 04:25:27 > Best FID score (Step: 68000, Using test moments): 7.591563876345106
[INFO] 2020-09-18 04:25:32 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 04:26:42 > Step:   68100 Progress: 68.1% Elapsed: 14:41:13 temperature: no ada_p: No Discriminator_loss: 1.4139 Generator_loss: 0.64334 
[INFO] 2020-09-18 04:27:54 > Step:   68200 Progress: 68.2% Elapsed: 14:42:25 temperature: no ada_p: No Discriminator_loss: 1.43588 Generator_loss: 0.198935 
[INFO] 2020-09-18 04:29:06 > Step:   68300 Progress: 68.3% Elapsed: 14:43:37 temperature: no ada_p: No Discriminator_loss: 1.45865 Generator_loss: 0.473591 
[INFO] 2020-09-18 04:30:17 > Step:   68400 Progress: 68.4% Elapsed: 14:44:49 temperature: no ada_p: No Discriminator_loss: 1.49256 Generator_loss: 0.400025 
[INFO] 2020-09-18 04:31:29 > Step:   68500 Progress: 68.5% Elapsed: 14:46:00 temperature: no ada_p: No Discriminator_loss: 1.27167 Generator_loss: 0.382926 
[INFO] 2020-09-18 04:32:39 > Step:   68600 Progress: 68.6% Elapsed: 14:47:10 temperature: no ada_p: No Discriminator_loss: 1.47322 Generator_loss: 0.409319 
[INFO] 2020-09-18 04:33:51 > Step:   68700 Progress: 68.7% Elapsed: 14:48:22 temperature: no ada_p: No Discriminator_loss: 1.39296 Generator_loss: 0.130983 
[INFO] 2020-09-18 04:35:03 > Step:   68800 Progress: 68.8% Elapsed: 14:49:34 temperature: no ada_p: No Discriminator_loss: 1.35611 Generator_loss: 0.0946612 
[INFO] 2020-09-18 04:36:13 > Step:   68900 Progress: 68.9% Elapsed: 14:50:45 temperature: no ada_p: No Discriminator_loss: 1.42422 Generator_loss: 0.0441213 
[INFO] 2020-09-18 04:37:25 > Step:   69000 Progress: 69.0% Elapsed: 14:51:56 temperature: no ada_p: No Discriminator_loss: 1.54736 Generator_loss: 0.189207 
[INFO] 2020-09-18 04:38:37 > Step:   69100 Progress: 69.1% Elapsed: 14:53:08 temperature: no ada_p: No Discriminator_loss: 1.35287 Generator_loss: 0.615505 
[INFO] 2020-09-18 04:39:50 > Step:   69200 Progress: 69.2% Elapsed: 14:54:21 temperature: no ada_p: No Discriminator_loss: 1.39552 Generator_loss: 0.176722 
[INFO] 2020-09-18 04:41:00 > Step:   69300 Progress: 69.3% Elapsed: 14:55:31 temperature: no ada_p: No Discriminator_loss: 1.44744 Generator_loss: 0.362098 
[INFO] 2020-09-18 04:42:12 > Step:   69400 Progress: 69.4% Elapsed: 14:56:44 temperature: no ada_p: No Discriminator_loss: 1.40773 Generator_loss: 0.582246 
[INFO] 2020-09-18 04:43:23 > Step:   69500 Progress: 69.5% Elapsed: 14:57:54 temperature: no ada_p: No Discriminator_loss: 1.51579 Generator_loss: 0.382541 
[INFO] 2020-09-18 04:44:34 > Step:   69600 Progress: 69.6% Elapsed: 14:59:05 temperature: no ada_p: No Discriminator_loss: 1.53785 Generator_loss: 0.249648 
[INFO] 2020-09-18 04:45:45 > Step:   69700 Progress: 69.7% Elapsed: 15:00:17 temperature: no ada_p: No Discriminator_loss: 1.35302 Generator_loss: 0.279548 
[INFO] 2020-09-18 04:46:57 > Step:   69800 Progress: 69.8% Elapsed: 15:01:28 temperature: no ada_p: No Discriminator_loss: 1.54673 Generator_loss: 0.20246 
[INFO] 2020-09-18 04:48:08 > Step:   69900 Progress: 69.9% Elapsed: 15:02:39 temperature: no ada_p: No Discriminator_loss: 1.52503 Generator_loss: 0.0714007 
[INFO] 2020-09-18 04:49:20 > Step:   70000 Progress: 70.0% Elapsed: 15:03:51 temperature: no ada_p: No Discriminator_loss: 1.4918 Generator_loss: 0.277469 
[INFO] 2020-09-18 04:49:20 > Start Evaluation (70000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 04:51:28 > F_8 score (Step: 70000, Using test images): 0.9943506728098583
[INFO] 2020-09-18 04:51:28 > F_1/8 score (Step: 70000, Using test images): 0.995044276398413
[INFO] 2020-09-18 04:51:28 > FID score (Step: 70000, Using test moments): 7.6027888159860595
[INFO] 2020-09-18 04:51:28 > Inception score (Step: 70000, 10000 generated images): 10.00072956085205
[INFO] 2020-09-18 04:51:28 > Best FID score (Step: 68000, Using test moments): 7.591563876345106
[INFO] 2020-09-18 04:51:30 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 04:52:42 > Step:   70100 Progress: 70.1% Elapsed: 15:07:13 temperature: no ada_p: No Discriminator_loss: 1.29884 Generator_loss: 0.44466 
[INFO] 2020-09-18 04:53:52 > Step:   70200 Progress: 70.2% Elapsed: 15:08:24 temperature: no ada_p: No Discriminator_loss: 1.55883 Generator_loss: 0.448057 
[INFO] 2020-09-18 04:55:02 > Step:   70300 Progress: 70.3% Elapsed: 15:09:33 temperature: no ada_p: No Discriminator_loss: 1.49938 Generator_loss: 0.120697 
[INFO] 2020-09-18 04:56:08 > Step:   70400 Progress: 70.4% Elapsed: 15:10:39 temperature: no ada_p: No Discriminator_loss: 1.47254 Generator_loss: 0.583824 
[INFO] 2020-09-18 04:57:16 > Step:   70500 Progress: 70.5% Elapsed: 15:11:47 temperature: no ada_p: No Discriminator_loss: 1.36915 Generator_loss: 0.330391 
[INFO] 2020-09-18 04:58:27 > Step:   70600 Progress: 70.6% Elapsed: 15:12:59 temperature: no ada_p: No Discriminator_loss: 1.40977 Generator_loss: 0.13638 
[INFO] 2020-09-18 04:59:40 > Step:   70700 Progress: 70.7% Elapsed: 15:14:11 temperature: no ada_p: No Discriminator_loss: 1.53684 Generator_loss: 0.237629 
[INFO] 2020-09-18 05:00:52 > Step:   70800 Progress: 70.8% Elapsed: 15:15:23 temperature: no ada_p: No Discriminator_loss: 1.24287 Generator_loss: 0.731373 
[INFO] 2020-09-18 05:02:03 > Step:   70900 Progress: 70.9% Elapsed: 15:16:34 temperature: no ada_p: No Discriminator_loss: 1.48808 Generator_loss: 0.713978 
[INFO] 2020-09-18 05:03:15 > Step:   71000 Progress: 71.0% Elapsed: 15:17:46 temperature: no ada_p: No Discriminator_loss: 1.355 Generator_loss: 0.208174 
[INFO] 2020-09-18 05:04:27 > Step:   71100 Progress: 71.1% Elapsed: 15:18:58 temperature: no ada_p: No Discriminator_loss: 1.55413 Generator_loss: 0.599243 
[INFO] 2020-09-18 05:05:39 > Step:   71200 Progress: 71.2% Elapsed: 15:20:11 temperature: no ada_p: No Discriminator_loss: 1.27575 Generator_loss: 0.480499 
[INFO] 2020-09-18 05:06:51 > Step:   71300 Progress: 71.3% Elapsed: 15:21:23 temperature: no ada_p: No Discriminator_loss: 1.4685 Generator_loss: 0.730753 
[INFO] 2020-09-18 05:08:04 > Step:   71400 Progress: 71.4% Elapsed: 15:22:36 temperature: no ada_p: No Discriminator_loss: 1.2963 Generator_loss: 0.441511 
[INFO] 2020-09-18 05:09:16 > Step:   71500 Progress: 71.5% Elapsed: 15:23:47 temperature: no ada_p: No Discriminator_loss: 1.32863 Generator_loss: 0.347049 
[INFO] 2020-09-18 05:10:27 > Step:   71600 Progress: 71.6% Elapsed: 15:24:59 temperature: no ada_p: No Discriminator_loss: 1.4389 Generator_loss: 0.304323 
[INFO] 2020-09-18 05:11:40 > Step:   71700 Progress: 71.7% Elapsed: 15:26:11 temperature: no ada_p: No Discriminator_loss: 1.51511 Generator_loss: 0.0737096 
[INFO] 2020-09-18 05:12:51 > Step:   71800 Progress: 71.8% Elapsed: 15:27:22 temperature: no ada_p: No Discriminator_loss: 1.43417 Generator_loss: 0.190701 
[INFO] 2020-09-18 05:14:01 > Step:   71900 Progress: 71.9% Elapsed: 15:28:32 temperature: no ada_p: No Discriminator_loss: 1.30665 Generator_loss: 0.804481 
[INFO] 2020-09-18 05:15:11 > Step:   72000 Progress: 72.0% Elapsed: 15:29:42 temperature: no ada_p: No Discriminator_loss: 1.5295 Generator_loss: 0.221478 
[INFO] 2020-09-18 05:15:11 > Start Evaluation (72000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 05:17:19 > F_8 score (Step: 72000, Using test images): 0.9943215190798758
[INFO] 2020-09-18 05:17:19 > F_1/8 score (Step: 72000, Using test images): 0.9942416656962906
[INFO] 2020-09-18 05:17:19 > FID score (Step: 72000, Using test moments): 7.549290853197647
[INFO] 2020-09-18 05:17:19 > Inception score (Step: 72000, 10000 generated images): 9.88429069519043
[INFO] 2020-09-18 05:17:19 > Best FID score (Step: 72000, Using test moments): 7.549290853197647
[INFO] 2020-09-18 05:17:24 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 05:18:34 > Step:   72100 Progress: 72.1% Elapsed: 15:33:05 temperature: no ada_p: No Discriminator_loss: 1.35244 Generator_loss: 0.759691 
[INFO] 2020-09-18 05:19:45 > Step:   72200 Progress: 72.2% Elapsed: 15:34:17 temperature: no ada_p: No Discriminator_loss: 1.41975 Generator_loss: 0.193271 
[INFO] 2020-09-18 05:20:57 > Step:   72300 Progress: 72.3% Elapsed: 15:35:28 temperature: no ada_p: No Discriminator_loss: 1.50565 Generator_loss: 0.61239 
[INFO] 2020-09-18 05:22:08 > Step:   72400 Progress: 72.4% Elapsed: 15:36:39 temperature: no ada_p: No Discriminator_loss: 1.30488 Generator_loss: 0.267962 
[INFO] 2020-09-18 05:23:19 > Step:   72500 Progress: 72.5% Elapsed: 15:37:50 temperature: no ada_p: No Discriminator_loss: 1.41551 Generator_loss: -0.00207516 
[INFO] 2020-09-18 05:24:30 > Step:   72600 Progress: 72.6% Elapsed: 15:39:02 temperature: no ada_p: No Discriminator_loss: 1.44865 Generator_loss: 0.316749 
[INFO] 2020-09-18 05:25:40 > Step:   72700 Progress: 72.7% Elapsed: 15:40:11 temperature: no ada_p: No Discriminator_loss: 1.45404 Generator_loss: 0.0774377 
[INFO] 2020-09-18 05:26:50 > Step:   72800 Progress: 72.8% Elapsed: 15:41:22 temperature: no ada_p: No Discriminator_loss: 1.44553 Generator_loss: 0.293027 
[INFO] 2020-09-18 05:28:01 > Step:   72900 Progress: 72.9% Elapsed: 15:42:32 temperature: no ada_p: No Discriminator_loss: 1.36657 Generator_loss: 0.459649 
[INFO] 2020-09-18 05:29:12 > Step:   73000 Progress: 73.0% Elapsed: 15:43:43 temperature: no ada_p: No Discriminator_loss: 1.32661 Generator_loss: 0.555131 
[INFO] 2020-09-18 05:30:22 > Step:   73100 Progress: 73.1% Elapsed: 15:44:54 temperature: no ada_p: No Discriminator_loss: 1.39462 Generator_loss: 0.638991 
[INFO] 2020-09-18 05:31:34 > Step:   73200 Progress: 73.2% Elapsed: 15:46:05 temperature: no ada_p: No Discriminator_loss: 1.49705 Generator_loss: 0.0834477 
[INFO] 2020-09-18 05:32:46 > Step:   73300 Progress: 73.3% Elapsed: 15:47:17 temperature: no ada_p: No Discriminator_loss: 1.41231 Generator_loss: 0.387116 
[INFO] 2020-09-18 05:33:58 > Step:   73400 Progress: 73.4% Elapsed: 15:48:30 temperature: no ada_p: No Discriminator_loss: 1.61721 Generator_loss: -0.0490216 
[INFO] 2020-09-18 05:35:09 > Step:   73500 Progress: 73.5% Elapsed: 15:49:41 temperature: no ada_p: No Discriminator_loss: 1.51261 Generator_loss: 0.880484 
[INFO] 2020-09-18 05:36:22 > Step:   73600 Progress: 73.6% Elapsed: 15:50:54 temperature: no ada_p: No Discriminator_loss: 1.39999 Generator_loss: 0.317387 
[INFO] 2020-09-18 05:37:34 > Step:   73700 Progress: 73.7% Elapsed: 15:52:05 temperature: no ada_p: No Discriminator_loss: 1.38902 Generator_loss: 0.556847 
[INFO] 2020-09-18 05:38:42 > Step:   73800 Progress: 73.8% Elapsed: 15:53:13 temperature: no ada_p: No Discriminator_loss: 1.38493 Generator_loss: 0.405337 
[INFO] 2020-09-18 05:39:47 > Step:   73900 Progress: 73.9% Elapsed: 15:54:19 temperature: no ada_p: No Discriminator_loss: 1.50364 Generator_loss: 0.605543 
[INFO] 2020-09-18 05:40:55 > Step:   74000 Progress: 74.0% Elapsed: 15:55:27 temperature: no ada_p: No Discriminator_loss: 1.34258 Generator_loss: 0.395806 
[INFO] 2020-09-18 05:40:55 > Start Evaluation (74000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 05:43:05 > F_8 score (Step: 74000, Using test images): 0.9925326189164722
[INFO] 2020-09-18 05:43:05 > F_1/8 score (Step: 74000, Using test images): 0.9962499756769959
[INFO] 2020-09-18 05:43:05 > FID score (Step: 74000, Using test moments): 7.542931903539397
[INFO] 2020-09-18 05:43:05 > Inception score (Step: 74000, 10000 generated images): 10.160260200500488
[INFO] 2020-09-18 05:43:05 > Best FID score (Step: 74000, Using test moments): 7.542931903539397
[INFO] 2020-09-18 05:43:10 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 05:44:20 > Step:   74100 Progress: 74.1% Elapsed: 15:58:52 temperature: no ada_p: No Discriminator_loss: 1.34866 Generator_loss: 0.459337 
[INFO] 2020-09-18 05:45:32 > Step:   74200 Progress: 74.2% Elapsed: 16:00:04 temperature: no ada_p: No Discriminator_loss: 1.63412 Generator_loss: 0.489131 
[INFO] 2020-09-18 05:46:44 > Step:   74300 Progress: 74.3% Elapsed: 16:01:15 temperature: no ada_p: No Discriminator_loss: 1.51818 Generator_loss: 0.110959 
[INFO] 2020-09-18 05:47:55 > Step:   74400 Progress: 74.4% Elapsed: 16:02:26 temperature: no ada_p: No Discriminator_loss: 1.45031 Generator_loss: 0.218246 
[INFO] 2020-09-18 05:49:07 > Step:   74500 Progress: 74.5% Elapsed: 16:03:38 temperature: no ada_p: No Discriminator_loss: 1.40804 Generator_loss: 0.206054 
[INFO] 2020-09-18 05:50:20 > Step:   74600 Progress: 74.6% Elapsed: 16:04:51 temperature: no ada_p: No Discriminator_loss: 1.4411 Generator_loss: 0.443501 
[INFO] 2020-09-18 05:51:30 > Step:   74700 Progress: 74.7% Elapsed: 16:06:02 temperature: no ada_p: No Discriminator_loss: 1.30273 Generator_loss: 0.141849 
[INFO] 2020-09-18 05:52:41 > Step:   74800 Progress: 74.8% Elapsed: 16:07:12 temperature: no ada_p: No Discriminator_loss: 1.38094 Generator_loss: 0.453752 
[INFO] 2020-09-18 05:53:52 > Step:   74900 Progress: 74.9% Elapsed: 16:08:23 temperature: no ada_p: No Discriminator_loss: 1.51598 Generator_loss: -0.0056587 
[INFO] 2020-09-18 05:55:03 > Step:   75000 Progress: 75.0% Elapsed: 16:09:34 temperature: no ada_p: No Discriminator_loss: 1.4387 Generator_loss: 0.37785 
[INFO] 2020-09-18 05:56:14 > Step:   75100 Progress: 75.1% Elapsed: 16:10:46 temperature: no ada_p: No Discriminator_loss: 1.34574 Generator_loss: 0.288216 
[INFO] 2020-09-18 05:57:25 > Step:   75200 Progress: 75.2% Elapsed: 16:11:57 temperature: no ada_p: No Discriminator_loss: 1.55398 Generator_loss: 0.217731 
[INFO] 2020-09-18 05:58:37 > Step:   75300 Progress: 75.3% Elapsed: 16:13:08 temperature: no ada_p: No Discriminator_loss: 1.3992 Generator_loss: 0.432749 
[INFO] 2020-09-18 05:59:48 > Step:   75400 Progress: 75.4% Elapsed: 16:14:19 temperature: no ada_p: No Discriminator_loss: 1.524 Generator_loss: -0.0290409 
[INFO] 2020-09-18 06:00:58 > Step:   75500 Progress: 75.5% Elapsed: 16:15:30 temperature: no ada_p: No Discriminator_loss: 1.46515 Generator_loss: 0.244071 
[INFO] 2020-09-18 06:02:10 > Step:   75600 Progress: 75.6% Elapsed: 16:16:41 temperature: no ada_p: No Discriminator_loss: 1.36947 Generator_loss: 0.38497 
[INFO] 2020-09-18 06:03:22 > Step:   75700 Progress: 75.7% Elapsed: 16:17:53 temperature: no ada_p: No Discriminator_loss: 1.47194 Generator_loss: 0.599924 
[INFO] 2020-09-18 06:04:34 > Step:   75800 Progress: 75.8% Elapsed: 16:19:06 temperature: no ada_p: No Discriminator_loss: 1.386 Generator_loss: 0.359224 
[INFO] 2020-09-18 06:05:46 > Step:   75900 Progress: 75.9% Elapsed: 16:20:17 temperature: no ada_p: No Discriminator_loss: 1.43158 Generator_loss: 0.137711 
[INFO] 2020-09-18 06:06:58 > Step:   76000 Progress: 76.0% Elapsed: 16:21:29 temperature: no ada_p: No Discriminator_loss: 1.47301 Generator_loss: 0.287496 
[INFO] 2020-09-18 06:06:58 > Start Evaluation (76000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 06:09:06 > F_8 score (Step: 76000, Using test images): 0.9942966495706941
[INFO] 2020-09-18 06:09:06 > F_1/8 score (Step: 76000, Using test images): 0.9955802404165413
[INFO] 2020-09-18 06:09:06 > FID score (Step: 76000, Using test moments): 7.571675727844706
[INFO] 2020-09-18 06:09:06 > Inception score (Step: 76000, 10000 generated images): 10.08289909362793
[INFO] 2020-09-18 06:09:06 > Best FID score (Step: 74000, Using test moments): 7.542931903539397
[INFO] 2020-09-18 06:09:08 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 06:10:20 > Step:   76100 Progress: 76.1% Elapsed: 16:24:51 temperature: no ada_p: No Discriminator_loss: 1.33319 Generator_loss: 0.650236 
[INFO] 2020-09-18 06:11:31 > Step:   76200 Progress: 76.2% Elapsed: 16:26:02 temperature: no ada_p: No Discriminator_loss: 1.52108 Generator_loss: 0.417666 
[INFO] 2020-09-18 06:12:43 > Step:   76300 Progress: 76.3% Elapsed: 16:27:15 temperature: no ada_p: No Discriminator_loss: 1.3116 Generator_loss: 0.335307 
[INFO] 2020-09-18 06:13:55 > Step:   76400 Progress: 76.4% Elapsed: 16:28:26 temperature: no ada_p: No Discriminator_loss: 1.28785 Generator_loss: 0.263249 
[INFO] 2020-09-18 06:15:07 > Step:   76500 Progress: 76.5% Elapsed: 16:29:38 temperature: no ada_p: No Discriminator_loss: 1.27469 Generator_loss: 0.535436 
[INFO] 2020-09-18 06:16:19 > Step:   76600 Progress: 76.6% Elapsed: 16:30:50 temperature: no ada_p: No Discriminator_loss: 1.30945 Generator_loss: 0.955649 
[INFO] 2020-09-18 06:17:30 > Step:   76700 Progress: 76.7% Elapsed: 16:32:02 temperature: no ada_p: No Discriminator_loss: 1.55328 Generator_loss: 0.205083 
[INFO] 2020-09-18 06:18:41 > Step:   76800 Progress: 76.8% Elapsed: 16:33:13 temperature: no ada_p: No Discriminator_loss: 1.46136 Generator_loss: 0.466463 
[INFO] 2020-09-18 06:19:53 > Step:   76900 Progress: 76.9% Elapsed: 16:34:24 temperature: no ada_p: No Discriminator_loss: 1.53076 Generator_loss: 0.378697 
[INFO] 2020-09-18 06:21:04 > Step:   77000 Progress: 77.0% Elapsed: 16:35:35 temperature: no ada_p: No Discriminator_loss: 1.48131 Generator_loss: 0.313753 
[INFO] 2020-09-18 06:22:11 > Step:   77100 Progress: 77.1% Elapsed: 16:36:43 temperature: no ada_p: No Discriminator_loss: 1.41624 Generator_loss: 0.442661 
[INFO] 2020-09-18 06:23:17 > Step:   77200 Progress: 77.2% Elapsed: 16:37:48 temperature: no ada_p: No Discriminator_loss: 1.38656 Generator_loss: 0.211643 
[INFO] 2020-09-18 06:24:25 > Step:   77300 Progress: 77.3% Elapsed: 16:38:57 temperature: no ada_p: No Discriminator_loss: 1.28941 Generator_loss: 0.165666 
[INFO] 2020-09-18 06:25:37 > Step:   77400 Progress: 77.4% Elapsed: 16:40:08 temperature: no ada_p: No Discriminator_loss: 1.42345 Generator_loss: 0.525093 
[INFO] 2020-09-18 06:26:48 > Step:   77500 Progress: 77.5% Elapsed: 16:41:19 temperature: no ada_p: No Discriminator_loss: 1.37717 Generator_loss: 0.66643 
[INFO] 2020-09-18 06:27:59 > Step:   77600 Progress: 77.6% Elapsed: 16:42:31 temperature: no ada_p: No Discriminator_loss: 1.40918 Generator_loss: 0.439268 
[INFO] 2020-09-18 06:29:11 > Step:   77700 Progress: 77.7% Elapsed: 16:43:42 temperature: no ada_p: No Discriminator_loss: 1.48668 Generator_loss: 0.443783 
[INFO] 2020-09-18 06:30:22 > Step:   77800 Progress: 77.8% Elapsed: 16:44:54 temperature: no ada_p: No Discriminator_loss: 1.42531 Generator_loss: 0.478583 
[INFO] 2020-09-18 06:31:33 > Step:   77900 Progress: 77.9% Elapsed: 16:46:05 temperature: no ada_p: No Discriminator_loss: 1.39251 Generator_loss: 0.372172 
[INFO] 2020-09-18 06:32:45 > Step:   78000 Progress: 78.0% Elapsed: 16:47:17 temperature: no ada_p: No Discriminator_loss: 1.31557 Generator_loss: 0.197914 
[INFO] 2020-09-18 06:32:45 > Start Evaluation (78000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 06:34:53 > F_8 score (Step: 78000, Using test images): 0.9941934343978871
[INFO] 2020-09-18 06:34:53 > F_1/8 score (Step: 78000, Using test images): 0.9944866465230489
[INFO] 2020-09-18 06:34:53 > FID score (Step: 78000, Using test moments): 7.498060080206471
[INFO] 2020-09-18 06:34:53 > Inception score (Step: 78000, 10000 generated images): 9.975152015686035
[INFO] 2020-09-18 06:34:53 > Best FID score (Step: 78000, Using test moments): 7.498060080206471
[INFO] 2020-09-18 06:34:57 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 06:36:09 > Step:   78100 Progress: 78.1% Elapsed: 16:50:41 temperature: no ada_p: No Discriminator_loss: 1.44937 Generator_loss: 0.48639 
[INFO] 2020-09-18 06:37:23 > Step:   78200 Progress: 78.2% Elapsed: 16:51:54 temperature: no ada_p: No Discriminator_loss: 1.54784 Generator_loss: 0.564545 
[INFO] 2020-09-18 06:38:34 > Step:   78300 Progress: 78.3% Elapsed: 16:53:05 temperature: no ada_p: No Discriminator_loss: 1.47813 Generator_loss: 0.0891964 
[INFO] 2020-09-18 06:39:45 > Step:   78400 Progress: 78.4% Elapsed: 16:54:17 temperature: no ada_p: No Discriminator_loss: 1.33265 Generator_loss: 0.265295 
[INFO] 2020-09-18 06:40:57 > Step:   78500 Progress: 78.5% Elapsed: 16:55:29 temperature: no ada_p: No Discriminator_loss: 1.37736 Generator_loss: 0.25019 
[INFO] 2020-09-18 06:42:10 > Step:   78600 Progress: 78.6% Elapsed: 16:56:41 temperature: no ada_p: No Discriminator_loss: 1.38257 Generator_loss: 0.105024 
[INFO] 2020-09-18 06:43:21 > Step:   78700 Progress: 78.7% Elapsed: 16:57:53 temperature: no ada_p: No Discriminator_loss: 1.37347 Generator_loss: 0.69305 
[INFO] 2020-09-18 06:44:34 > Step:   78800 Progress: 78.8% Elapsed: 16:59:05 temperature: no ada_p: No Discriminator_loss: 1.29284 Generator_loss: 0.535006 
[INFO] 2020-09-18 06:45:46 > Step:   78900 Progress: 78.9% Elapsed: 17:00:17 temperature: no ada_p: No Discriminator_loss: 1.42808 Generator_loss: 0.582107 
[INFO] 2020-09-18 06:46:58 > Step:   79000 Progress: 79.0% Elapsed: 17:01:29 temperature: no ada_p: No Discriminator_loss: 1.49844 Generator_loss: 0.419585 
[INFO] 2020-09-18 06:48:10 > Step:   79100 Progress: 79.1% Elapsed: 17:02:41 temperature: no ada_p: No Discriminator_loss: 1.32621 Generator_loss: 0.312001 
[INFO] 2020-09-18 06:49:23 > Step:   79200 Progress: 79.2% Elapsed: 17:03:54 temperature: no ada_p: No Discriminator_loss: 1.5272 Generator_loss: 0.273292 
[INFO] 2020-09-18 06:50:36 > Step:   79300 Progress: 79.3% Elapsed: 17:05:07 temperature: no ada_p: No Discriminator_loss: 1.55239 Generator_loss: 0.126864 
[INFO] 2020-09-18 06:51:49 > Step:   79400 Progress: 79.4% Elapsed: 17:06:20 temperature: no ada_p: No Discriminator_loss: 1.56468 Generator_loss: -0.0449262 
[INFO] 2020-09-18 06:53:01 > Step:   79500 Progress: 79.5% Elapsed: 17:07:32 temperature: no ada_p: No Discriminator_loss: 1.42336 Generator_loss: 0.597745 
[INFO] 2020-09-18 06:54:13 > Step:   79600 Progress: 79.6% Elapsed: 17:08:44 temperature: no ada_p: No Discriminator_loss: 1.2626 Generator_loss: 0.169016 
[INFO] 2020-09-18 06:55:24 > Step:   79700 Progress: 79.7% Elapsed: 17:09:56 temperature: no ada_p: No Discriminator_loss: 1.53057 Generator_loss: 0.0272137 
[INFO] 2020-09-18 06:56:35 > Step:   79800 Progress: 79.8% Elapsed: 17:11:07 temperature: no ada_p: No Discriminator_loss: 1.30745 Generator_loss: 0.517213 
[INFO] 2020-09-18 06:57:47 > Step:   79900 Progress: 79.9% Elapsed: 17:12:18 temperature: no ada_p: No Discriminator_loss: 1.50322 Generator_loss: 0.474448 
[INFO] 2020-09-18 06:58:58 > Step:   80000 Progress: 80.0% Elapsed: 17:13:29 temperature: no ada_p: No Discriminator_loss: 1.19166 Generator_loss: 0.43699 
[INFO] 2020-09-18 06:58:58 > Start Evaluation (80000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:01:06 > F_8 score (Step: 80000, Using test images): 0.9946784853296083
[INFO] 2020-09-18 07:01:06 > F_1/8 score (Step: 80000, Using test images): 0.9950439574554045
[INFO] 2020-09-18 07:01:06 > FID score (Step: 80000, Using test moments): 7.407979629413205
[INFO] 2020-09-18 07:01:06 > Inception score (Step: 80000, 10000 generated images): 10.097188949584961
[INFO] 2020-09-18 07:01:06 > Best FID score (Step: 80000, Using test moments): 7.407979629413205
[INFO] 2020-09-18 07:01:10 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:02:21 > Step:   80100 Progress: 80.1% Elapsed: 17:16:52 temperature: no ada_p: No Discriminator_loss: 1.35416 Generator_loss: 0.4182 
[INFO] 2020-09-18 07:03:31 > Step:   80200 Progress: 80.2% Elapsed: 17:18:03 temperature: no ada_p: No Discriminator_loss: 1.40193 Generator_loss: 0.192526 
[INFO] 2020-09-18 07:04:43 > Step:   80300 Progress: 80.3% Elapsed: 17:19:15 temperature: no ada_p: No Discriminator_loss: 1.48119 Generator_loss: 0.160745 
[INFO] 2020-09-18 07:05:49 > Step:   80400 Progress: 80.4% Elapsed: 17:20:20 temperature: no ada_p: No Discriminator_loss: 1.34215 Generator_loss: 0.53572 
[INFO] 2020-09-18 07:06:56 > Step:   80500 Progress: 80.5% Elapsed: 17:21:27 temperature: no ada_p: No Discriminator_loss: 1.44107 Generator_loss: 0.326786 
[INFO] 2020-09-18 07:08:07 > Step:   80600 Progress: 80.6% Elapsed: 17:22:38 temperature: no ada_p: No Discriminator_loss: 1.6251 Generator_loss: 0.547805 
[INFO] 2020-09-18 07:09:17 > Step:   80700 Progress: 80.7% Elapsed: 17:23:48 temperature: no ada_p: No Discriminator_loss: 1.31879 Generator_loss: 0.00942327 
[INFO] 2020-09-18 07:10:28 > Step:   80800 Progress: 80.8% Elapsed: 17:25:00 temperature: no ada_p: No Discriminator_loss: 1.32738 Generator_loss: 0.284295 
[INFO] 2020-09-18 07:11:38 > Step:   80900 Progress: 80.9% Elapsed: 17:26:10 temperature: no ada_p: No Discriminator_loss: 1.43203 Generator_loss: 0.299446 
[INFO] 2020-09-18 07:12:48 > Step:   81000 Progress: 81.0% Elapsed: 17:27:20 temperature: no ada_p: No Discriminator_loss: 1.29765 Generator_loss: 0.533765 
[INFO] 2020-09-18 07:13:59 > Step:   81100 Progress: 81.1% Elapsed: 17:28:30 temperature: no ada_p: No Discriminator_loss: 1.36449 Generator_loss: 0.650742 
[INFO] 2020-09-18 07:15:09 > Step:   81200 Progress: 81.2% Elapsed: 17:29:40 temperature: no ada_p: No Discriminator_loss: 1.50994 Generator_loss: 0.397757 
[INFO] 2020-09-18 07:16:21 > Step:   81300 Progress: 81.3% Elapsed: 17:30:52 temperature: no ada_p: No Discriminator_loss: 1.43356 Generator_loss: 0.534477 
[INFO] 2020-09-18 07:17:33 > Step:   81400 Progress: 81.4% Elapsed: 17:32:04 temperature: no ada_p: No Discriminator_loss: 1.46102 Generator_loss: 0.591803 
[INFO] 2020-09-18 07:18:44 > Step:   81500 Progress: 81.5% Elapsed: 17:33:15 temperature: no ada_p: No Discriminator_loss: 1.35727 Generator_loss: 0.792471 
[INFO] 2020-09-18 07:19:53 > Step:   81600 Progress: 81.6% Elapsed: 17:34:25 temperature: no ada_p: No Discriminator_loss: 1.41422 Generator_loss: 0.481259 
[INFO] 2020-09-18 07:21:03 > Step:   81700 Progress: 81.7% Elapsed: 17:35:34 temperature: no ada_p: No Discriminator_loss: 1.40845 Generator_loss: 0.570228 
[INFO] 2020-09-18 07:22:12 > Step:   81800 Progress: 81.8% Elapsed: 17:36:43 temperature: no ada_p: No Discriminator_loss: 1.24286 Generator_loss: 0.57244 
[INFO] 2020-09-18 07:23:22 > Step:   81900 Progress: 81.9% Elapsed: 17:37:53 temperature: no ada_p: No Discriminator_loss: 1.34952 Generator_loss: 0.622431 
[INFO] 2020-09-18 07:24:33 > Step:   82000 Progress: 82.0% Elapsed: 17:39:05 temperature: no ada_p: No Discriminator_loss: 1.37541 Generator_loss: 0.00931114 
[INFO] 2020-09-18 07:24:33 > Start Evaluation (82000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:26:40 > F_8 score (Step: 82000, Using test images): 0.9936724885606134
[INFO] 2020-09-18 07:26:40 > F_1/8 score (Step: 82000, Using test images): 0.9954464506697038
[INFO] 2020-09-18 07:26:40 > FID score (Step: 82000, Using test moments): 7.261407152668141
[INFO] 2020-09-18 07:26:40 > Inception score (Step: 82000, 10000 generated images): 10.195548057556152
[INFO] 2020-09-18 07:26:40 > Best FID score (Step: 82000, Using test moments): 7.261407152668141
[INFO] 2020-09-18 07:26:44 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:27:56 > Step:   82100 Progress: 82.1% Elapsed: 17:42:27 temperature: no ada_p: No Discriminator_loss: 1.35177 Generator_loss: 0.254931 
[INFO] 2020-09-18 07:29:09 > Step:   82200 Progress: 82.2% Elapsed: 17:43:40 temperature: no ada_p: No Discriminator_loss: 1.45502 Generator_loss: 0.243251 
[INFO] 2020-09-18 07:30:20 > Step:   82300 Progress: 82.3% Elapsed: 17:44:52 temperature: no ada_p: No Discriminator_loss: 1.39614 Generator_loss: 0.295862 
[INFO] 2020-09-18 07:31:32 > Step:   82400 Progress: 82.4% Elapsed: 17:46:03 temperature: no ada_p: No Discriminator_loss: 1.50284 Generator_loss: -0.140467 
[INFO] 2020-09-18 07:32:44 > Step:   82500 Progress: 82.5% Elapsed: 17:47:16 temperature: no ada_p: No Discriminator_loss: 1.54426 Generator_loss: 0.205808 
[INFO] 2020-09-18 07:33:55 > Step:   82600 Progress: 82.6% Elapsed: 17:48:26 temperature: no ada_p: No Discriminator_loss: 1.51612 Generator_loss: 0.188388 
[INFO] 2020-09-18 07:35:06 > Step:   82700 Progress: 82.7% Elapsed: 17:49:37 temperature: no ada_p: No Discriminator_loss: 1.50947 Generator_loss: 0.854555 
[INFO] 2020-09-18 07:36:17 > Step:   82800 Progress: 82.8% Elapsed: 17:50:48 temperature: no ada_p: No Discriminator_loss: 1.31357 Generator_loss: 0.562461 
[INFO] 2020-09-18 07:37:27 > Step:   82900 Progress: 82.9% Elapsed: 17:51:59 temperature: no ada_p: No Discriminator_loss: 1.43005 Generator_loss: 0.168597 
[INFO] 2020-09-18 07:38:39 > Step:   83000 Progress: 83.0% Elapsed: 17:53:10 temperature: no ada_p: No Discriminator_loss: 1.32263 Generator_loss: 0.392882 
[INFO] 2020-09-18 07:39:51 > Step:   83100 Progress: 83.1% Elapsed: 17:54:22 temperature: no ada_p: No Discriminator_loss: 1.60223 Generator_loss: 0.113417 
[INFO] 2020-09-18 07:41:01 > Step:   83200 Progress: 83.2% Elapsed: 17:55:32 temperature: no ada_p: No Discriminator_loss: 1.35614 Generator_loss: 0.247271 
[INFO] 2020-09-18 07:42:12 > Step:   83300 Progress: 83.3% Elapsed: 17:56:43 temperature: no ada_p: No Discriminator_loss: 1.61546 Generator_loss: -0.176493 
[INFO] 2020-09-18 07:43:20 > Step:   83400 Progress: 83.4% Elapsed: 17:57:51 temperature: no ada_p: No Discriminator_loss: 1.63509 Generator_loss: 0.341265 
[INFO] 2020-09-18 07:44:31 > Step:   83500 Progress: 83.5% Elapsed: 17:59:02 temperature: no ada_p: No Discriminator_loss: 1.96015 Generator_loss: 0.154392 
[INFO] 2020-09-18 07:45:43 > Step:   83600 Progress: 83.6% Elapsed: 18:00:14 temperature: no ada_p: No Discriminator_loss: 1.46949 Generator_loss: 0.518018 
[INFO] 2020-09-18 07:46:54 > Step:   83700 Progress: 83.7% Elapsed: 18:01:26 temperature: no ada_p: No Discriminator_loss: 1.55123 Generator_loss: 0.401796 
[INFO] 2020-09-18 07:48:07 > Step:   83800 Progress: 83.8% Elapsed: 18:02:38 temperature: no ada_p: No Discriminator_loss: 1.46655 Generator_loss: 0.632006 
[INFO] 2020-09-18 07:49:12 > Step:   83900 Progress: 83.9% Elapsed: 18:03:43 temperature: no ada_p: No Discriminator_loss: 1.35741 Generator_loss: 0.558101 
[INFO] 2020-09-18 07:50:17 > Step:   84000 Progress: 84.0% Elapsed: 18:04:49 temperature: no ada_p: No Discriminator_loss: 1.58773 Generator_loss: 0.393867 
[INFO] 2020-09-18 07:50:17 > Start Evaluation (84000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:52:27 > F_8 score (Step: 84000, Using test images): 0.9941921405630415
[INFO] 2020-09-18 07:52:27 > F_1/8 score (Step: 84000, Using test images): 0.9955633975983457
[INFO] 2020-09-18 07:52:27 > FID score (Step: 84000, Using test moments): 7.275610626300534
[INFO] 2020-09-18 07:52:27 > Inception score (Step: 84000, 10000 generated images): 10.229850769042969
[INFO] 2020-09-18 07:52:27 > Best FID score (Step: 82000, Using test moments): 7.261407152668141
[INFO] 2020-09-18 07:52:29 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 07:53:40 > Step:   84100 Progress: 84.1% Elapsed: 18:08:12 temperature: no ada_p: No Discriminator_loss: 1.44822 Generator_loss: -0.086148 
[INFO] 2020-09-18 07:54:53 > Step:   84200 Progress: 84.2% Elapsed: 18:09:24 temperature: no ada_p: No Discriminator_loss: 1.4191 Generator_loss: 0.283654 
[INFO] 2020-09-18 07:56:04 > Step:   84300 Progress: 84.3% Elapsed: 18:10:36 temperature: no ada_p: No Discriminator_loss: 1.40502 Generator_loss: 0.271037 
[INFO] 2020-09-18 07:57:16 > Step:   84400 Progress: 84.4% Elapsed: 18:11:47 temperature: no ada_p: No Discriminator_loss: 1.39316 Generator_loss: 0.515511 
[INFO] 2020-09-18 07:58:27 > Step:   84500 Progress: 84.5% Elapsed: 18:12:58 temperature: no ada_p: No Discriminator_loss: 1.40505 Generator_loss: 0.286856 
[INFO] 2020-09-18 07:59:38 > Step:   84600 Progress: 84.6% Elapsed: 18:14:09 temperature: no ada_p: No Discriminator_loss: 1.62344 Generator_loss: -0.223194 
[INFO] 2020-09-18 08:00:50 > Step:   84700 Progress: 84.7% Elapsed: 18:15:21 temperature: no ada_p: No Discriminator_loss: 1.52786 Generator_loss: 0.402882 
[INFO] 2020-09-18 08:02:00 > Step:   84800 Progress: 84.8% Elapsed: 18:16:32 temperature: no ada_p: No Discriminator_loss: 1.60808 Generator_loss: 0.29776 
[INFO] 2020-09-18 08:03:12 > Step:   84900 Progress: 84.9% Elapsed: 18:17:43 temperature: no ada_p: No Discriminator_loss: 1.27459 Generator_loss: 0.113826 
[INFO] 2020-09-18 08:04:23 > Step:   85000 Progress: 85.0% Elapsed: 18:18:54 temperature: no ada_p: No Discriminator_loss: 1.65016 Generator_loss: -0.0956236 
[INFO] 2020-09-18 08:05:33 > Step:   85100 Progress: 85.1% Elapsed: 18:20:04 temperature: no ada_p: No Discriminator_loss: 1.32452 Generator_loss: 0.740752 
[INFO] 2020-09-18 08:06:43 > Step:   85200 Progress: 85.2% Elapsed: 18:21:15 temperature: no ada_p: No Discriminator_loss: 1.27962 Generator_loss: 0.643908 
[INFO] 2020-09-18 08:07:54 > Step:   85300 Progress: 85.3% Elapsed: 18:22:25 temperature: no ada_p: No Discriminator_loss: 1.45895 Generator_loss: 0.2361 
[INFO] 2020-09-18 08:09:03 > Step:   85400 Progress: 85.4% Elapsed: 18:23:34 temperature: no ada_p: No Discriminator_loss: 1.45252 Generator_loss: 0.5207 
[INFO] 2020-09-18 08:10:12 > Step:   85500 Progress: 85.5% Elapsed: 18:24:44 temperature: no ada_p: No Discriminator_loss: 1.67632 Generator_loss: -0.364925 
[INFO] 2020-09-18 08:11:24 > Step:   85600 Progress: 85.6% Elapsed: 18:25:55 temperature: no ada_p: No Discriminator_loss: 1.54041 Generator_loss: 0.156084 
[INFO] 2020-09-18 08:12:33 > Step:   85700 Progress: 85.7% Elapsed: 18:27:05 temperature: no ada_p: No Discriminator_loss: 1.37541 Generator_loss: 0.432843 
[INFO] 2020-09-18 08:13:44 > Step:   85800 Progress: 85.8% Elapsed: 18:28:16 temperature: no ada_p: No Discriminator_loss: 1.37595 Generator_loss: 0.240748 
[INFO] 2020-09-18 08:14:55 > Step:   85900 Progress: 85.9% Elapsed: 18:29:26 temperature: no ada_p: No Discriminator_loss: 1.42675 Generator_loss: 0.691168 
[INFO] 2020-09-18 08:16:04 > Step:   86000 Progress: 86.0% Elapsed: 18:30:35 temperature: no ada_p: No Discriminator_loss: 1.3659 Generator_loss: 0.105025 
[INFO] 2020-09-18 08:16:04 > Start Evaluation (86000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 08:18:13 > F_8 score (Step: 86000, Using test images): 0.9953681954993625
[INFO] 2020-09-18 08:18:13 > F_1/8 score (Step: 86000, Using test images): 0.9951249913027751
[INFO] 2020-09-18 08:18:13 > FID score (Step: 86000, Using test moments): 7.350042321717979
[INFO] 2020-09-18 08:18:13 > Inception score (Step: 86000, 10000 generated images): 10.002832412719727
[INFO] 2020-09-18 08:18:13 > Best FID score (Step: 82000, Using test moments): 7.261407152668141
[INFO] 2020-09-18 08:18:15 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 08:19:26 > Step:   86100 Progress: 86.1% Elapsed: 18:33:57 temperature: no ada_p: No Discriminator_loss: 1.30174 Generator_loss: 0.239506 
[INFO] 2020-09-18 08:20:37 > Step:   86200 Progress: 86.2% Elapsed: 18:35:09 temperature: no ada_p: No Discriminator_loss: 1.51292 Generator_loss: 0.246603 
[INFO] 2020-09-18 08:21:48 > Step:   86300 Progress: 86.3% Elapsed: 18:36:19 temperature: no ada_p: No Discriminator_loss: 1.33863 Generator_loss: 0.338696 
[INFO] 2020-09-18 08:23:00 > Step:   86400 Progress: 86.4% Elapsed: 18:37:31 temperature: no ada_p: No Discriminator_loss: 1.61117 Generator_loss: 0.0765862 
[INFO] 2020-09-18 08:24:11 > Step:   86500 Progress: 86.5% Elapsed: 18:38:42 temperature: no ada_p: No Discriminator_loss: 1.2911 Generator_loss: 0.225116 
[INFO] 2020-09-18 08:25:23 > Step:   86600 Progress: 86.6% Elapsed: 18:39:54 temperature: no ada_p: No Discriminator_loss: 1.43918 Generator_loss: 0.462793 
[INFO] 2020-09-18 08:26:35 > Step:   86700 Progress: 86.7% Elapsed: 18:41:07 temperature: no ada_p: No Discriminator_loss: 1.46232 Generator_loss: 0.0316796 
[INFO] 2020-09-18 08:27:46 > Step:   86800 Progress: 86.8% Elapsed: 18:42:17 temperature: no ada_p: No Discriminator_loss: 1.23778 Generator_loss: 0.662123 
[INFO] 2020-09-18 08:28:58 > Step:   86900 Progress: 86.9% Elapsed: 18:43:29 temperature: no ada_p: No Discriminator_loss: 1.22418 Generator_loss: 0.181133 
[INFO] 2020-09-18 08:30:07 > Step:   87000 Progress: 87.0% Elapsed: 18:44:39 temperature: no ada_p: No Discriminator_loss: 1.35975 Generator_loss: 0.323419 
[INFO] 2020-09-18 08:31:17 > Step:   87100 Progress: 87.1% Elapsed: 18:45:48 temperature: no ada_p: No Discriminator_loss: 1.3181 Generator_loss: 0.663209 
[INFO] 2020-09-18 08:32:22 > Step:   87200 Progress: 87.2% Elapsed: 18:46:53 temperature: no ada_p: No Discriminator_loss: 1.33892 Generator_loss: 0.60278 
[INFO] 2020-09-18 08:33:29 > Step:   87300 Progress: 87.3% Elapsed: 18:48:01 temperature: no ada_p: No Discriminator_loss: 1.26916 Generator_loss: 0.34029 
[INFO] 2020-09-18 08:34:40 > Step:   87400 Progress: 87.4% Elapsed: 18:49:11 temperature: no ada_p: No Discriminator_loss: 1.27925 Generator_loss: 0.402155 
[INFO] 2020-09-18 08:35:52 > Step:   87500 Progress: 87.5% Elapsed: 18:50:23 temperature: no ada_p: No Discriminator_loss: 1.35857 Generator_loss: 0.532301 
[INFO] 2020-09-18 08:37:02 > Step:   87600 Progress: 87.6% Elapsed: 18:51:34 temperature: no ada_p: No Discriminator_loss: 1.34594 Generator_loss: 0.0903815 
[INFO] 2020-09-18 08:38:12 > Step:   87700 Progress: 87.7% Elapsed: 18:52:43 temperature: no ada_p: No Discriminator_loss: 1.35826 Generator_loss: 0.173562 
[INFO] 2020-09-18 08:39:21 > Step:   87800 Progress: 87.8% Elapsed: 18:53:52 temperature: no ada_p: No Discriminator_loss: 1.37382 Generator_loss: 0.539626 
[INFO] 2020-09-18 08:40:32 > Step:   87900 Progress: 87.9% Elapsed: 18:55:03 temperature: no ada_p: No Discriminator_loss: 1.33562 Generator_loss: 0.0696006 
[INFO] 2020-09-18 08:41:42 > Step:   88000 Progress: 88.0% Elapsed: 18:56:14 temperature: no ada_p: No Discriminator_loss: 1.54845 Generator_loss: 0.268252 
[INFO] 2020-09-18 08:41:43 > Start Evaluation (88000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 08:43:51 > F_8 score (Step: 88000, Using test images): 0.9925628027249871
[INFO] 2020-09-18 08:43:51 > F_1/8 score (Step: 88000, Using test images): 0.9952160221409091
[INFO] 2020-09-18 08:43:51 > FID score (Step: 88000, Using test moments): 7.2522665016671795
[INFO] 2020-09-18 08:43:51 > Inception score (Step: 88000, 10000 generated images): 10.075565338134766
[INFO] 2020-09-18 08:43:51 > Best FID score (Step: 88000, Using test moments): 7.2522665016671795
[INFO] 2020-09-18 08:43:55 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 08:45:07 > Step:   88100 Progress: 88.1% Elapsed: 18:59:38 temperature: no ada_p: No Discriminator_loss: 1.44423 Generator_loss: 0.181663 
[INFO] 2020-09-18 08:46:18 > Step:   88200 Progress: 88.2% Elapsed: 19:00:49 temperature: no ada_p: No Discriminator_loss: 1.49045 Generator_loss: 0.200689 
[INFO] 2020-09-18 08:47:29 > Step:   88300 Progress: 88.3% Elapsed: 19:02:00 temperature: no ada_p: No Discriminator_loss: 1.37105 Generator_loss: 0.542704 
[INFO] 2020-09-18 08:48:40 > Step:   88400 Progress: 88.4% Elapsed: 19:03:12 temperature: no ada_p: No Discriminator_loss: 1.39732 Generator_loss: 0.428028 
[INFO] 2020-09-18 08:49:52 > Step:   88500 Progress: 88.5% Elapsed: 19:04:23 temperature: no ada_p: No Discriminator_loss: 1.42465 Generator_loss: 0.28627 
[INFO] 2020-09-18 08:51:03 > Step:   88600 Progress: 88.6% Elapsed: 19:05:34 temperature: no ada_p: No Discriminator_loss: 1.34091 Generator_loss: 0.345112 
[INFO] 2020-09-18 08:52:14 > Step:   88700 Progress: 88.7% Elapsed: 19:06:45 temperature: no ada_p: No Discriminator_loss: 1.50082 Generator_loss: 0.674737 
[INFO] 2020-09-18 08:53:26 > Step:   88800 Progress: 88.8% Elapsed: 19:07:57 temperature: no ada_p: No Discriminator_loss: 1.50739 Generator_loss: 0.427393 
[INFO] 2020-09-18 08:54:38 > Step:   88900 Progress: 88.9% Elapsed: 19:09:09 temperature: no ada_p: No Discriminator_loss: 1.36758 Generator_loss: 0.357727 
[INFO] 2020-09-18 08:55:49 > Step:   89000 Progress: 89.0% Elapsed: 19:10:20 temperature: no ada_p: No Discriminator_loss: 1.39984 Generator_loss: 0.453037 
[INFO] 2020-09-18 08:56:59 > Step:   89100 Progress: 89.1% Elapsed: 19:11:30 temperature: no ada_p: No Discriminator_loss: 1.32684 Generator_loss: 0.656882 
[INFO] 2020-09-18 08:58:09 > Step:   89200 Progress: 89.2% Elapsed: 19:12:40 temperature: no ada_p: No Discriminator_loss: 1.38061 Generator_loss: 0.415355 
[INFO] 2020-09-18 08:59:19 > Step:   89300 Progress: 89.3% Elapsed: 19:13:50 temperature: no ada_p: No Discriminator_loss: 1.36882 Generator_loss: 0.35006 
[INFO] 2020-09-18 09:00:29 > Step:   89400 Progress: 89.4% Elapsed: 19:15:01 temperature: no ada_p: No Discriminator_loss: 1.27055 Generator_loss: 0.521816 
[INFO] 2020-09-18 09:01:40 > Step:   89500 Progress: 89.5% Elapsed: 19:16:12 temperature: no ada_p: No Discriminator_loss: 1.36064 Generator_loss: 0.635803 
[INFO] 2020-09-18 09:02:51 > Step:   89600 Progress: 89.6% Elapsed: 19:17:23 temperature: no ada_p: No Discriminator_loss: 1.3929 Generator_loss: 0.415068 
[INFO] 2020-09-18 09:04:02 > Step:   89700 Progress: 89.7% Elapsed: 19:18:33 temperature: no ada_p: No Discriminator_loss: 1.45412 Generator_loss: 0.779501 
[INFO] 2020-09-18 09:05:13 > Step:   89800 Progress: 89.8% Elapsed: 19:19:44 temperature: no ada_p: No Discriminator_loss: 1.68237 Generator_loss: 0.0139739 
[INFO] 2020-09-18 09:06:23 > Step:   89900 Progress: 89.9% Elapsed: 19:20:54 temperature: no ada_p: No Discriminator_loss: 1.44095 Generator_loss: 0.461048 
[INFO] 2020-09-18 09:07:34 > Step:   90000 Progress: 90.0% Elapsed: 19:22:06 temperature: no ada_p: No Discriminator_loss: 1.25326 Generator_loss: 0.589312 
[INFO] 2020-09-18 09:07:34 > Start Evaluation (90000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 09:09:41 > F_8 score (Step: 90000, Using test images): 0.9946147862504704
[INFO] 2020-09-18 09:09:41 > F_1/8 score (Step: 90000, Using test images): 0.9959973240502603
[INFO] 2020-09-18 09:09:41 > FID score (Step: 90000, Using test moments): 7.17933747938082
[INFO] 2020-09-18 09:09:41 > Inception score (Step: 90000, 10000 generated images): 10.15943431854248
[INFO] 2020-09-18 09:09:41 > Best FID score (Step: 90000, Using test moments): 7.17933747938082
[INFO] 2020-09-18 09:09:46 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 09:10:56 > Step:   90100 Progress: 90.1% Elapsed: 19:25:27 temperature: no ada_p: No Discriminator_loss: 1.42058 Generator_loss: 0.336012 
[INFO] 2020-09-18 09:12:07 > Step:   90200 Progress: 90.2% Elapsed: 19:26:38 temperature: no ada_p: No Discriminator_loss: 1.37674 Generator_loss: 0.307991 
[INFO] 2020-09-18 09:13:17 > Step:   90300 Progress: 90.3% Elapsed: 19:27:48 temperature: no ada_p: No Discriminator_loss: 1.25821 Generator_loss: 0.599722 
[INFO] 2020-09-18 09:14:26 > Step:   90400 Progress: 90.4% Elapsed: 19:28:58 temperature: no ada_p: No Discriminator_loss: 1.45274 Generator_loss: 0.107759 
[INFO] 2020-09-18 09:15:32 > Step:   90500 Progress: 90.5% Elapsed: 19:30:04 temperature: no ada_p: No Discriminator_loss: 1.39601 Generator_loss: 0.283175 
[INFO] 2020-09-18 09:16:40 > Step:   90600 Progress: 90.6% Elapsed: 19:31:11 temperature: no ada_p: No Discriminator_loss: 1.4643 Generator_loss: 0.315514 
[INFO] 2020-09-18 09:17:50 > Step:   90700 Progress: 90.7% Elapsed: 19:32:21 temperature: no ada_p: No Discriminator_loss: 1.33646 Generator_loss: 0.133916 
[INFO] 2020-09-18 09:19:01 > Step:   90800 Progress: 90.8% Elapsed: 19:33:32 temperature: no ada_p: No Discriminator_loss: 1.44947 Generator_loss: 0.724379 
[INFO] 2020-09-18 09:20:11 > Step:   90900 Progress: 90.9% Elapsed: 19:34:43 temperature: no ada_p: No Discriminator_loss: 1.45306 Generator_loss: 0.190408 
[INFO] 2020-09-18 09:21:23 > Step:   91000 Progress: 91.0% Elapsed: 19:35:54 temperature: no ada_p: No Discriminator_loss: 1.41259 Generator_loss: 0.541636 
[INFO] 2020-09-18 09:22:34 > Step:   91100 Progress: 91.1% Elapsed: 19:37:06 temperature: no ada_p: No Discriminator_loss: 1.49836 Generator_loss: -0.0287364 
[INFO] 2020-09-18 09:23:44 > Step:   91200 Progress: 91.2% Elapsed: 19:38:16 temperature: no ada_p: No Discriminator_loss: 1.36215 Generator_loss: 0.21515 
[INFO] 2020-09-18 09:24:55 > Step:   91300 Progress: 91.3% Elapsed: 19:39:26 temperature: no ada_p: No Discriminator_loss: 1.38475 Generator_loss: 0.270513 
[INFO] 2020-09-18 09:26:06 > Step:   91400 Progress: 91.4% Elapsed: 19:40:37 temperature: no ada_p: No Discriminator_loss: 1.45335 Generator_loss: 0.28318 
[INFO] 2020-09-18 09:27:17 > Step:   91500 Progress: 91.5% Elapsed: 19:41:48 temperature: no ada_p: No Discriminator_loss: 1.2871 Generator_loss: 0.531222 
[INFO] 2020-09-18 09:28:27 > Step:   91600 Progress: 91.6% Elapsed: 19:42:59 temperature: no ada_p: No Discriminator_loss: 1.47424 Generator_loss: 0.229492 
[INFO] 2020-09-18 09:29:38 > Step:   91700 Progress: 91.7% Elapsed: 19:44:09 temperature: no ada_p: No Discriminator_loss: 1.19581 Generator_loss: 0.887332 
[INFO] 2020-09-18 09:30:48 > Step:   91800 Progress: 91.8% Elapsed: 19:45:20 temperature: no ada_p: No Discriminator_loss: 1.24398 Generator_loss: 0.561139 
[INFO] 2020-09-18 09:31:59 > Step:   91900 Progress: 91.9% Elapsed: 19:46:30 temperature: no ada_p: No Discriminator_loss: 1.39451 Generator_loss: 0.433693 
[INFO] 2020-09-18 09:33:09 > Step:   92000 Progress: 92.0% Elapsed: 19:47:41 temperature: no ada_p: No Discriminator_loss: 1.43361 Generator_loss: 0.0980178 
[INFO] 2020-09-18 09:33:10 > Start Evaluation (92000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 09:35:15 > F_8 score (Step: 92000, Using test images): 0.9946085845996149
[INFO] 2020-09-18 09:35:15 > F_1/8 score (Step: 92000, Using test images): 0.9956147422256357
[INFO] 2020-09-18 09:35:15 > FID score (Step: 92000, Using test moments): 7.220042367206247
[INFO] 2020-09-18 09:35:15 > Inception score (Step: 92000, 10000 generated images): 10.143861770629883
[INFO] 2020-09-18 09:35:15 > Best FID score (Step: 90000, Using test moments): 7.17933747938082
[INFO] 2020-09-18 09:35:18 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 09:36:28 > Step:   92100 Progress: 92.1% Elapsed: 19:51:00 temperature: no ada_p: No Discriminator_loss: 1.59908 Generator_loss: 0.174528 
[INFO] 2020-09-18 09:37:39 > Step:   92200 Progress: 92.2% Elapsed: 19:52:11 temperature: no ada_p: No Discriminator_loss: 1.48743 Generator_loss: -0.108242 
[INFO] 2020-09-18 09:38:50 > Step:   92300 Progress: 92.3% Elapsed: 19:53:22 temperature: no ada_p: No Discriminator_loss: 1.58532 Generator_loss: 0.232836 
[INFO] 2020-09-18 09:40:01 > Step:   92400 Progress: 92.4% Elapsed: 19:54:32 temperature: no ada_p: No Discriminator_loss: 1.62282 Generator_loss: 0.236238 
[INFO] 2020-09-18 09:41:12 > Step:   92500 Progress: 92.5% Elapsed: 19:55:43 temperature: no ada_p: No Discriminator_loss: 1.60274 Generator_loss: -0.0428865 
[INFO] 2020-09-18 09:42:22 > Step:   92600 Progress: 92.6% Elapsed: 19:56:54 temperature: no ada_p: No Discriminator_loss: 1.26612 Generator_loss: 0.519629 
[INFO] 2020-09-18 09:43:33 > Step:   92700 Progress: 92.7% Elapsed: 19:58:04 temperature: no ada_p: No Discriminator_loss: 1.26382 Generator_loss: 0.0735625 
[INFO] 2020-09-18 09:44:44 > Step:   92800 Progress: 92.8% Elapsed: 19:59:15 temperature: no ada_p: No Discriminator_loss: 1.1614 Generator_loss: 0.719522 
[INFO] 2020-09-18 09:45:54 > Step:   92900 Progress: 92.9% Elapsed: 20:00:26 temperature: no ada_p: No Discriminator_loss: 1.44091 Generator_loss: 0.599324 
[INFO] 2020-09-18 09:47:05 > Step:   93000 Progress: 93.0% Elapsed: 20:01:37 temperature: no ada_p: No Discriminator_loss: 1.36045 Generator_loss: 0.334227 
[INFO] 2020-09-18 09:48:18 > Step:   93100 Progress: 93.1% Elapsed: 20:02:49 temperature: no ada_p: No Discriminator_loss: 1.31361 Generator_loss: 0.28652 
[INFO] 2020-09-18 09:49:29 > Step:   93200 Progress: 93.2% Elapsed: 20:04:00 temperature: no ada_p: No Discriminator_loss: 1.30781 Generator_loss: 0.458179 
[INFO] 2020-09-18 09:50:42 > Step:   93300 Progress: 93.3% Elapsed: 20:05:13 temperature: no ada_p: No Discriminator_loss: 1.39279 Generator_loss: 0.289428 
[INFO] 2020-09-18 09:51:52 > Step:   93400 Progress: 93.4% Elapsed: 20:06:24 temperature: no ada_p: No Discriminator_loss: 1.59161 Generator_loss: 0.108742 
[INFO] 2020-09-18 09:53:04 > Step:   93500 Progress: 93.5% Elapsed: 20:07:35 temperature: no ada_p: No Discriminator_loss: 1.25361 Generator_loss: 0.445405 
[INFO] 2020-09-18 09:54:14 > Step:   93600 Progress: 93.6% Elapsed: 20:08:46 temperature: no ada_p: No Discriminator_loss: 1.29402 Generator_loss: 0.3691 
[INFO] 2020-09-18 09:55:24 > Step:   93700 Progress: 93.7% Elapsed: 20:09:55 temperature: no ada_p: No Discriminator_loss: 1.39583 Generator_loss: -0.0444637 
[INFO] 2020-09-18 09:56:33 > Step:   93800 Progress: 93.8% Elapsed: 20:11:05 temperature: no ada_p: No Discriminator_loss: 1.44068 Generator_loss: 0.516091 
[INFO] 2020-09-18 09:57:41 > Step:   93900 Progress: 93.9% Elapsed: 20:12:12 temperature: no ada_p: No Discriminator_loss: 1.39095 Generator_loss: 0.491509 
[INFO] 2020-09-18 09:58:46 > Step:   94000 Progress: 94.0% Elapsed: 20:13:18 temperature: no ada_p: No Discriminator_loss: 1.21457 Generator_loss: 0.410381 
[INFO] 2020-09-18 09:58:46 > Start Evaluation (94000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:00:50 > F_8 score (Step: 94000, Using test images): 0.9934155086911013
[INFO] 2020-09-18 10:00:50 > F_1/8 score (Step: 94000, Using test images): 0.9955342387326801
[INFO] 2020-09-18 10:00:50 > FID score (Step: 94000, Using test moments): 7.204538573749687
[INFO] 2020-09-18 10:00:51 > Inception score (Step: 94000, 10000 generated images): 10.152566909790039
[INFO] 2020-09-18 10:00:51 > Best FID score (Step: 90000, Using test moments): 7.17933747938082
[INFO] 2020-09-18 10:00:53 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:02:03 > Step:   94100 Progress: 94.1% Elapsed: 20:16:34 temperature: no ada_p: No Discriminator_loss: 1.35403 Generator_loss: 0.604545 
[INFO] 2020-09-18 10:03:15 > Step:   94200 Progress: 94.2% Elapsed: 20:17:46 temperature: no ada_p: No Discriminator_loss: 1.4433 Generator_loss: 0.239901 
[INFO] 2020-09-18 10:04:25 > Step:   94300 Progress: 94.3% Elapsed: 20:18:56 temperature: no ada_p: No Discriminator_loss: 1.3566 Generator_loss: 0.52962 
[INFO] 2020-09-18 10:05:36 > Step:   94400 Progress: 94.4% Elapsed: 20:20:07 temperature: no ada_p: No Discriminator_loss: 1.26457 Generator_loss: 0.526524 
[INFO] 2020-09-18 10:06:47 > Step:   94500 Progress: 94.5% Elapsed: 20:21:19 temperature: no ada_p: No Discriminator_loss: 1.3994 Generator_loss: 0.238315 
[INFO] 2020-09-18 10:07:59 > Step:   94600 Progress: 94.6% Elapsed: 20:22:30 temperature: no ada_p: No Discriminator_loss: 1.30156 Generator_loss: 0.519607 
[INFO] 2020-09-18 10:09:11 > Step:   94700 Progress: 94.7% Elapsed: 20:23:42 temperature: no ada_p: No Discriminator_loss: 1.46359 Generator_loss: 0.536107 
[INFO] 2020-09-18 10:10:21 > Step:   94800 Progress: 94.8% Elapsed: 20:24:52 temperature: no ada_p: No Discriminator_loss: 1.42579 Generator_loss: 0.52683 
[INFO] 2020-09-18 10:11:30 > Step:   94900 Progress: 94.9% Elapsed: 20:26:01 temperature: no ada_p: No Discriminator_loss: 1.3722 Generator_loss: 0.544015 
[INFO] 2020-09-18 10:12:40 > Step:   95000 Progress: 95.0% Elapsed: 20:27:11 temperature: no ada_p: No Discriminator_loss: 1.30972 Generator_loss: 0.305742 
[INFO] 2020-09-18 10:13:50 > Step:   95100 Progress: 95.1% Elapsed: 20:28:22 temperature: no ada_p: No Discriminator_loss: 1.38252 Generator_loss: 0.596075 
[INFO] 2020-09-18 10:15:01 > Step:   95200 Progress: 95.2% Elapsed: 20:29:32 temperature: no ada_p: No Discriminator_loss: 1.18082 Generator_loss: 0.489284 
[INFO] 2020-09-18 10:16:11 > Step:   95300 Progress: 95.3% Elapsed: 20:30:43 temperature: no ada_p: No Discriminator_loss: 1.2611 Generator_loss: 0.810864 
[INFO] 2020-09-18 10:17:19 > Step:   95400 Progress: 95.4% Elapsed: 20:31:51 temperature: no ada_p: No Discriminator_loss: 1.30606 Generator_loss: 0.489654 
[INFO] 2020-09-18 10:18:29 > Step:   95500 Progress: 95.5% Elapsed: 20:33:01 temperature: no ada_p: No Discriminator_loss: 1.49185 Generator_loss: 0.188549 
[INFO] 2020-09-18 10:19:40 > Step:   95600 Progress: 95.6% Elapsed: 20:34:11 temperature: no ada_p: No Discriminator_loss: 1.3919 Generator_loss: 0.379482 
[INFO] 2020-09-18 10:20:51 > Step:   95700 Progress: 95.7% Elapsed: 20:35:22 temperature: no ada_p: No Discriminator_loss: 1.39371 Generator_loss: 0.59618 
[INFO] 2020-09-18 10:22:03 > Step:   95800 Progress: 95.8% Elapsed: 20:36:34 temperature: no ada_p: No Discriminator_loss: 1.28586 Generator_loss: 0.367313 
[INFO] 2020-09-18 10:23:13 > Step:   95900 Progress: 95.9% Elapsed: 20:37:44 temperature: no ada_p: No Discriminator_loss: 1.26172 Generator_loss: 0.774045 
[INFO] 2020-09-18 10:24:24 > Step:   96000 Progress: 96.0% Elapsed: 20:38:56 temperature: no ada_p: No Discriminator_loss: 1.39489 Generator_loss: 0.145876 
[INFO] 2020-09-18 10:24:24 > Start Evaluation (96000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:26:29 > F_8 score (Step: 96000, Using test images): 0.9928564740802134
[INFO] 2020-09-18 10:26:29 > F_1/8 score (Step: 96000, Using test images): 0.9950995851453864
[INFO] 2020-09-18 10:26:29 > FID score (Step: 96000, Using test moments): 7.244781384356656
[INFO] 2020-09-18 10:26:29 > Inception score (Step: 96000, 10000 generated images): 10.32772445678711
[INFO] 2020-09-18 10:26:29 > Best FID score (Step: 90000, Using test moments): 7.17933747938082
[INFO] 2020-09-18 10:26:31 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:27:41 > Step:   96100 Progress: 96.1% Elapsed: 20:42:12 temperature: no ada_p: No Discriminator_loss: 1.51649 Generator_loss: 0.153258 
[INFO] 2020-09-18 10:28:52 > Step:   96200 Progress: 96.2% Elapsed: 20:43:24 temperature: no ada_p: No Discriminator_loss: 1.55874 Generator_loss: 0.32992 
[INFO] 2020-09-18 10:30:03 > Step:   96300 Progress: 96.3% Elapsed: 20:44:35 temperature: no ada_p: No Discriminator_loss: 1.45042 Generator_loss: -0.0864794 
[INFO] 2020-09-18 10:31:15 > Step:   96400 Progress: 96.4% Elapsed: 20:45:46 temperature: no ada_p: No Discriminator_loss: 1.4607 Generator_loss: 0.356871 
[INFO] 2020-09-18 10:32:25 > Step:   96500 Progress: 96.5% Elapsed: 20:46:57 temperature: no ada_p: No Discriminator_loss: 1.50016 Generator_loss: 0.325364 
[INFO] 2020-09-18 10:33:37 > Step:   96600 Progress: 96.6% Elapsed: 20:48:08 temperature: no ada_p: No Discriminator_loss: 1.30725 Generator_loss: 0.0994016 
[INFO] 2020-09-18 10:34:49 > Step:   96700 Progress: 96.7% Elapsed: 20:49:20 temperature: no ada_p: No Discriminator_loss: 1.31642 Generator_loss: 0.282212 
[INFO] 2020-09-18 10:36:00 > Step:   96800 Progress: 96.8% Elapsed: 20:50:31 temperature: no ada_p: No Discriminator_loss: 1.50457 Generator_loss: -0.310678 
[INFO] 2020-09-18 10:37:12 > Step:   96900 Progress: 96.9% Elapsed: 20:51:43 temperature: no ada_p: No Discriminator_loss: 1.45436 Generator_loss: 0.44426 
[INFO] 2020-09-18 10:38:23 > Step:   97000 Progress: 97.0% Elapsed: 20:52:54 temperature: no ada_p: No Discriminator_loss: 1.44487 Generator_loss: 0.401102 
[INFO] 2020-09-18 10:39:33 > Step:   97100 Progress: 97.1% Elapsed: 20:54:04 temperature: no ada_p: No Discriminator_loss: 1.41643 Generator_loss: 0.155098 
[INFO] 2020-09-18 10:40:41 > Step:   97200 Progress: 97.2% Elapsed: 20:55:13 temperature: no ada_p: No Discriminator_loss: 1.45493 Generator_loss: -0.0139319 
[INFO] 2020-09-18 10:41:46 > Step:   97300 Progress: 97.3% Elapsed: 20:56:18 temperature: no ada_p: No Discriminator_loss: 1.38459 Generator_loss: 0.613572 
[INFO] 2020-09-18 10:42:54 > Step:   97400 Progress: 97.4% Elapsed: 20:57:25 temperature: no ada_p: No Discriminator_loss: 1.36196 Generator_loss: 0.253528 
[INFO] 2020-09-18 10:44:05 > Step:   97500 Progress: 97.5% Elapsed: 20:58:36 temperature: no ada_p: No Discriminator_loss: 1.65554 Generator_loss: 0.258492 
[INFO] 2020-09-18 10:45:16 > Step:   97600 Progress: 97.6% Elapsed: 20:59:47 temperature: no ada_p: No Discriminator_loss: 1.3621 Generator_loss: 0.392656 
[INFO] 2020-09-18 10:46:26 > Step:   97700 Progress: 97.7% Elapsed: 21:00:57 temperature: no ada_p: No Discriminator_loss: 1.22283 Generator_loss: 0.676094 
[INFO] 2020-09-18 10:47:37 > Step:   97800 Progress: 97.8% Elapsed: 21:02:08 temperature: no ada_p: No Discriminator_loss: 1.4121 Generator_loss: 0.482182 
[INFO] 2020-09-18 10:48:47 > Step:   97900 Progress: 97.9% Elapsed: 21:03:18 temperature: no ada_p: No Discriminator_loss: 1.42572 Generator_loss: 0.285755 
[INFO] 2020-09-18 10:49:58 > Step:   98000 Progress: 98.0% Elapsed: 21:04:29 temperature: no ada_p: No Discriminator_loss: 1.36279 Generator_loss: 0.588016 
[INFO] 2020-09-18 10:49:58 > Start Evaluation (98000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:52:03 > F_8 score (Step: 98000, Using test images): 0.9928762973882579
[INFO] 2020-09-18 10:52:03 > F_1/8 score (Step: 98000, Using test images): 0.9941373792075728
[INFO] 2020-09-18 10:52:03 > FID score (Step: 98000, Using test moments): 7.178004842891482
[INFO] 2020-09-18 10:52:03 > Inception score (Step: 98000, 10000 generated images): 10.38004207611084
[INFO] 2020-09-18 10:52:03 > Best FID score (Step: 98000, Using test moments): 7.178004842891482
[INFO] 2020-09-18 10:52:07 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 10:53:18 > Step:   98100 Progress: 98.1% Elapsed: 21:07:49 temperature: no ada_p: No Discriminator_loss: 1.54391 Generator_loss: -0.0662376 
[INFO] 2020-09-18 10:54:29 > Step:   98200 Progress: 98.2% Elapsed: 21:09:00 temperature: no ada_p: No Discriminator_loss: 1.33279 Generator_loss: 0.294881 
[INFO] 2020-09-18 10:55:40 > Step:   98300 Progress: 98.3% Elapsed: 21:10:12 temperature: no ada_p: No Discriminator_loss: 1.48585 Generator_loss: 0.120988 
[INFO] 2020-09-18 10:56:54 > Step:   98400 Progress: 98.4% Elapsed: 21:11:25 temperature: no ada_p: No Discriminator_loss: 1.47831 Generator_loss: 0.35952 
[INFO] 2020-09-18 10:58:04 > Step:   98500 Progress: 98.5% Elapsed: 21:12:36 temperature: no ada_p: No Discriminator_loss: 1.3096 Generator_loss: 0.258361 
[INFO] 2020-09-18 10:59:15 > Step:   98600 Progress: 98.6% Elapsed: 21:13:47 temperature: no ada_p: No Discriminator_loss: 1.32215 Generator_loss: 0.278932 
[INFO] 2020-09-18 11:00:26 > Step:   98700 Progress: 98.7% Elapsed: 21:14:57 temperature: no ada_p: No Discriminator_loss: 1.31814 Generator_loss: 0.19355 
[INFO] 2020-09-18 11:01:36 > Step:   98800 Progress: 98.8% Elapsed: 21:16:07 temperature: no ada_p: No Discriminator_loss: 1.46669 Generator_loss: 0.464886 
[INFO] 2020-09-18 11:02:48 > Step:   98900 Progress: 98.9% Elapsed: 21:17:19 temperature: no ada_p: No Discriminator_loss: 1.44862 Generator_loss: 0.555709 
[INFO] 2020-09-18 11:03:59 > Step:   99000 Progress: 99.0% Elapsed: 21:18:31 temperature: no ada_p: No Discriminator_loss: 1.32554 Generator_loss: 0.316977 
[INFO] 2020-09-18 11:05:10 > Step:   99100 Progress: 99.1% Elapsed: 21:19:42 temperature: no ada_p: No Discriminator_loss: 1.32233 Generator_loss: 0.728947 
[INFO] 2020-09-18 11:06:20 > Step:   99200 Progress: 99.2% Elapsed: 21:20:51 temperature: no ada_p: No Discriminator_loss: 1.41466 Generator_loss: 0.410248 
[INFO] 2020-09-18 11:07:32 > Step:   99300 Progress: 99.3% Elapsed: 21:22:03 temperature: no ada_p: No Discriminator_loss: 1.35559 Generator_loss: 0.366193 
[INFO] 2020-09-18 11:08:43 > Step:   99400 Progress: 99.4% Elapsed: 21:23:14 temperature: no ada_p: No Discriminator_loss: 1.53285 Generator_loss: 0.542648 
[INFO] 2020-09-18 11:09:54 > Step:   99500 Progress: 99.5% Elapsed: 21:24:26 temperature: no ada_p: No Discriminator_loss: 1.49784 Generator_loss: 0.0372469 
[INFO] 2020-09-18 11:11:05 > Step:   99600 Progress: 99.6% Elapsed: 21:25:36 temperature: no ada_p: No Discriminator_loss: 1.2756 Generator_loss: 0.410965 
[INFO] 2020-09-18 11:12:17 > Step:   99700 Progress: 99.7% Elapsed: 21:26:49 temperature: no ada_p: No Discriminator_loss: 1.29843 Generator_loss: 0.42696 
[INFO] 2020-09-18 11:13:29 > Step:   99800 Progress: 99.8% Elapsed: 21:28:01 temperature: no ada_p: No Discriminator_loss: 1.27108 Generator_loss: 0.480593 
[INFO] 2020-09-18 11:14:40 > Step:   99900 Progress: 99.9% Elapsed: 21:29:11 temperature: no ada_p: No Discriminator_loss: 1.4871 Generator_loss: 0.403048 
[INFO] 2020-09-18 11:15:50 > Step:  100000 Progress: 100.0% Elapsed: 21:30:22 temperature: no ada_p: No Discriminator_loss: 1.25573 Generator_loss: 0.478593 
[INFO] 2020-09-18 11:15:51 > Start Evaluation (100000 Step): CRGAN(P)-train-2020_09_17_13_45_19
[INFO] 2020-09-18 11:17:59 > F_8 score (Step: 100000, Using test images): 0.9934740081974348
[INFO] 2020-09-18 11:17:59 > F_1/8 score (Step: 100000, Using test images): 0.9949324462454864
[INFO] 2020-09-18 11:17:59 > FID score (Step: 100000, Using test moments): 7.320139613442848
[INFO] 2020-09-18 11:17:59 > Inception score (Step: 100000, 10000 generated images): 10.176301956176758
[INFO] 2020-09-18 11:17:59 > Best FID score (Step: 98000, Using test moments): 7.178004842891482
[INFO] 2020-09-18 11:18:01 > Saved model to checkpoints/CRGAN(P)-train-2020_09_17_13_45_19