CCMGAN-train-2021_04_28_12_09_23.log

[INFO] 2021-04-28 12:09:23 > Run name : CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 12:09:23 > {
  "config_path": "src/configs/CIFAR10/CCMGAN.json",
  "checkpoint_folder": null,
  "load_current": false,
  "log_output_path": null,
  "distributed_data_parallel": false,
  "nodes": 1,
  "nr": 0,
  "seed": 1436,
  "num_workers": 8,
  "synchronized_bn": false,
  "mixed_precision": false,
  "LARS_optimizer": false,
  "disable_debugging_API": true,
  "reduce_train_dataset": 1.0,
  "bn_stat_OnTheFly": true,
  "standing_statistics": false,
  "standing_step": -1,
  "freeze_layers": -1,
  "load_all_data_in_memory": true,
  "train": true,
  "eval": true,
  "save_images": false,
  "image_visualization": false,
  "k_nearest_neighbor": false,
  "interpolation": false,
  "frequency_analysis": false,
  "tsne_analysis": false,
  "nrow": 10,
  "ncol": 8,
  "print_every": 100,
  "save_every": 2000,
  "eval_type": "test",
  "eval_backbone": "Inception_V3"
}
[INFO] 2021-04-28 12:09:23 > {
  "data_processing": {
    "dataset_name": "cifar10",
    "data_path": "./data/cifar10",
    "img_size": 32,
    "num_classes": 10,
    "batch_size4prcsing": 256,
    "chunk_size": 500,
    "compression": false
  },
  "train": {
    "model": {
      "architecture": "big_resnet",
      "conditional_strategy": "CCMGAN",
      "pos_collected_numerator": false,
      "hypersphere_dim": 512,
      "bottleneck_dim": 128,
      "nonlinear_embed": false,
      "normalize_embed": true,
      "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": 128,
      "accumulation_steps": 1,
      "d_lr": 0.00028284271,
      "g_lr": 0.00028284271,
      "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": 0.5,
      "margin": 0.98,
      "tempering_type": "constant",
      "tempering_step": "N/A",
      "start_temperature": 0.5,
      "end_temperature": 0.5,
      "weight_clipping_for_dis": false,
      "weight_clipping_bound": "N/A",
      "gradient_penalty_for_dis": false,
      "gradient_penalty_lambda": "N/A",
      "deep_regret_analysis_for_dis": false,
      "regret_penalty_lambda": "N/A",
      "cr": false,
      "cr_lambda": "N/A",
      "bcr": false,
      "real_lambda": "N/A",
      "fake_lambda": "N/A",
      "zcr": false,
      "gen_lambda": "N/A",
      "dis_lambda": "N/A",
      "sigma_noise": "N/A"
    },
    "initialization": {
      "g_init": "ortho",
      "d_init": "ortho"
    },
    "training_and_sampling_setting": {
      "random_flip_preprocessing": true,
      "diff_aug": false,
      "ada": false,
      "ada_target": "N/A",
      "ada_length": "N/A",
      "prior": "gaussian",
      "truncated_factor": 1,
      "latent_op": false,
      "latent_op_rate": "N/A",
      "latent_op_step": "N/A",
      "latent_op_step4eval": "N/A",
      "latent_op_alpha": "N/A",
      "latent_op_beta": "N/A",
      "latent_norm_reg_weight": "N/A",
      "ema": true,
      "ema_decay": 0.9999,
      "ema_start": 1000
    }
  }
}
[INFO] 2021-04-28 12:09:23 > Load train datasets...
[INFO] 2021-04-28 12:09:23 > Train dataset size : 50000
[INFO] 2021-04-28 12:09:23 > Load test datasets...
[INFO] 2021-04-28 12:09:25 > Eval dataset size : 10000
[INFO] 2021-04-28 12:09:25 > Build model...
[INFO] 2021-04-28 12:09:25 > Modules are located on models.big_resnet.
[INFO] 2021-04-28 12:09:34 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-04-28 12:09:35 > Number of parameters: 9416196
[INFO] 2021-04-28 12:09:35 > 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] 2021-04-28 12:09:35 > Number of parameters: 2648898
[INFO] 2021-04-28 12:09:35 > 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)
  (linear2): Linear(in_features=192, out_features=512, bias=True)
  (convert_head0): Linear(in_features=512, out_features=128, bias=True)
  (convert_head1): Linear(in_features=128, out_features=512, bias=True)
  (embedding): Embedding(10, 512)
)
[INFO] 2021-04-28 12:09:41 > Start training....
[INFO] 2021-04-28 12:11:21 > Step:     100 Progress: 0.1% Elapsed: 0:01:40 temperature: 0.5 ada_p: No Discriminator_loss: 3.01956 Generator_loss: 3.07006 
[INFO] 2021-04-28 12:12:59 > Step:     200 Progress: 0.2% Elapsed: 0:03:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.94248 Generator_loss: 3.98586 
[INFO] 2021-04-28 12:14:36 > Step:     300 Progress: 0.3% Elapsed: 0:04:55 temperature: 0.5 ada_p: No Discriminator_loss: 3.13231 Generator_loss: 2.29759 
[INFO] 2021-04-28 12:16:13 > Step:     400 Progress: 0.4% Elapsed: 0:06:32 temperature: 0.5 ada_p: No Discriminator_loss: 3.07319 Generator_loss: 3.45383 
[INFO] 2021-04-28 12:17:53 > Step:     500 Progress: 0.5% Elapsed: 0:08:12 temperature: 0.5 ada_p: No Discriminator_loss: 3.06333 Generator_loss: 3.2696 
[INFO] 2021-04-28 12:19:37 > Step:     600 Progress: 0.6% Elapsed: 0:09:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.82588 Generator_loss: 2.52184 
[INFO] 2021-04-28 12:21:13 > Step:     700 Progress: 0.7% Elapsed: 0:11:32 temperature: 0.5 ada_p: No Discriminator_loss: 3.04042 Generator_loss: 3.68184 
[INFO] 2021-04-28 12:22:53 > Step:     800 Progress: 0.8% Elapsed: 0:13:11 temperature: 0.5 ada_p: No Discriminator_loss: 3.34667 Generator_loss: 3.00988 
[INFO] 2021-04-28 12:24:29 > Step:     900 Progress: 0.9% Elapsed: 0:14:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.98124 Generator_loss: 3.09862 
[INFO] 2021-04-28 12:26:05 > Step:    1000 Progress: 1.0% Elapsed: 0:16:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.99809 Generator_loss: 3.08646 
[INFO] 2021-04-28 12:27:43 > Step:    1100 Progress: 1.1% Elapsed: 0:18:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.97123 Generator_loss: 2.82987 
[INFO] 2021-04-28 12:29:19 > Step:    1200 Progress: 1.2% Elapsed: 0:19:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.94562 Generator_loss: 3.11702 
[INFO] 2021-04-28 12:30:54 > Step:    1300 Progress: 1.3% Elapsed: 0:21:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.75421 Generator_loss: 2.4549 
[INFO] 2021-04-28 12:32:30 > Step:    1400 Progress: 1.4% Elapsed: 0:22:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.81435 Generator_loss: 2.68725 
[INFO] 2021-04-28 12:34:06 > Step:    1500 Progress: 1.5% Elapsed: 0:24:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.56961 Generator_loss: 2.62045 
[INFO] 2021-04-28 12:35:44 > Step:    1600 Progress: 1.6% Elapsed: 0:26:03 temperature: 0.5 ada_p: No Discriminator_loss: 3.10667 Generator_loss: 3.30975 
[INFO] 2021-04-28 12:37:18 > Step:    1700 Progress: 1.7% Elapsed: 0:27:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.54606 Generator_loss: 2.88655 
[INFO] 2021-04-28 12:38:55 > Step:    1800 Progress: 1.8% Elapsed: 0:29:14 temperature: 0.5 ada_p: No Discriminator_loss: 3.3576 Generator_loss: 2.42014 
[INFO] 2021-04-28 12:40:34 > Step:    1900 Progress: 1.9% Elapsed: 0:30:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.87942 Generator_loss: 3.26501 
[INFO] 2021-04-28 12:42:12 > Step:    2000 Progress: 2.0% Elapsed: 0:32:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.72941 Generator_loss: 2.80007 
[INFO] 2021-04-28 12:42:12 > Start Evaluation (2000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 12:42:12 > Calculating FID Score....
[INFO] 2021-04-28 12:42:54 > Calculating Inception Score....
[INFO] 2021-04-28 12:43:12 > Calculate F_beta Score....
[INFO] 2021-04-28 12:44:23 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 12:44:23 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 12:44:25 > Calculate Accuracies....
[INFO] 2021-04-28 12:44:33 > Calculate Accuracies....
[INFO] 2021-04-28 12:44:36 > F_8 score (Step: 2000, Using test images): 0.8662271582349663
[INFO] 2021-04-28 12:44:36 > F_1/8 score (Step: 2000, Using test images): 0.8979768178752153
[INFO] 2021-04-28 12:44:36 > FID score (Step: 2000, Using test moments): 37.26049517138728
[INFO] 2021-04-28 12:44:36 > Inception score (Step: 2000, 10000 generated images): 6.939680099487305
[INFO] 2021-04-28 12:44:36 > Best FID score (Step: 2000, Using test moments): 37.26049517138728
[INFO] 2021-04-28 12:44:38 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 12:46:13 > Step:    2100 Progress: 2.1% Elapsed: 0:36:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.64885 Generator_loss: 3.06661 
[INFO] 2021-04-28 12:47:51 > Step:    2200 Progress: 2.2% Elapsed: 0:38:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.57779 Generator_loss: 3.05716 
[INFO] 2021-04-28 12:49:26 > Step:    2300 Progress: 2.3% Elapsed: 0:39:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.84725 Generator_loss: 2.99259 
[INFO] 2021-04-28 12:51:01 > Step:    2400 Progress: 2.4% Elapsed: 0:41:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.65807 Generator_loss: 3.28952 
[INFO] 2021-04-28 12:52:37 > Step:    2500 Progress: 2.5% Elapsed: 0:42:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.65908 Generator_loss: 3.13234 
[INFO] 2021-04-28 12:54:12 > Step:    2600 Progress: 2.6% Elapsed: 0:44:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.65095 Generator_loss: 2.14123 
[INFO] 2021-04-28 12:55:47 > Step:    2700 Progress: 2.7% Elapsed: 0:46:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.46571 Generator_loss: 2.09535 
[INFO] 2021-04-28 12:57:21 > Step:    2800 Progress: 2.8% Elapsed: 0:47:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.53758 Generator_loss: 2.87261 
[INFO] 2021-04-28 12:58:58 > Step:    2900 Progress: 2.9% Elapsed: 0:49:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.75925 Generator_loss: 2.5821 
[INFO] 2021-04-28 13:00:34 > Step:    3000 Progress: 3.0% Elapsed: 0:50:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.94084 Generator_loss: 3.46727 
[INFO] 2021-04-28 13:02:09 > Step:    3100 Progress: 3.1% Elapsed: 0:52:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.49795 Generator_loss: 3.07416 
[INFO] 2021-04-28 13:03:45 > Step:    3200 Progress: 3.2% Elapsed: 0:54:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.29709 Generator_loss: 2.75916 
[INFO] 2021-04-28 13:05:19 > Step:    3300 Progress: 3.3% Elapsed: 0:55:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.52358 Generator_loss: 3.0095 
[INFO] 2021-04-28 13:06:53 > Step:    3400 Progress: 3.4% Elapsed: 0:57:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.57419 Generator_loss: 3.02163 
[INFO] 2021-04-28 13:08:28 > Step:    3500 Progress: 3.5% Elapsed: 0:58:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.6158 Generator_loss: 2.26097 
[INFO] 2021-04-28 13:10:03 > Step:    3600 Progress: 3.6% Elapsed: 1:00:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.49187 Generator_loss: 2.91049 
[INFO] 2021-04-28 13:11:39 > Step:    3700 Progress: 3.7% Elapsed: 1:01:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.41118 Generator_loss: 2.53155 
[INFO] 2021-04-28 13:13:13 > Step:    3800 Progress: 3.8% Elapsed: 1:03:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.71375 Generator_loss: 2.80713 
[INFO] 2021-04-28 13:14:47 > Step:    3900 Progress: 3.9% Elapsed: 1:05:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.45348 Generator_loss: 2.81068 
[INFO] 2021-04-28 13:16:22 > Step:    4000 Progress: 4.0% Elapsed: 1:06:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.51973 Generator_loss: 1.68517 
[INFO] 2021-04-28 13:16:22 > Start Evaluation (4000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 13:16:22 > Calculating FID Score....
[INFO] 2021-04-28 13:17:02 > Calculating Inception Score....
[INFO] 2021-04-28 13:17:19 > Calculate F_beta Score....
[INFO] 2021-04-28 13:18:26 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 13:18:26 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 13:18:28 > Calculate Accuracies....
[INFO] 2021-04-28 13:18:36 > Calculate Accuracies....
[INFO] 2021-04-28 13:18:38 > F_8 score (Step: 4000, Using test images): 0.8867943859865903
[INFO] 2021-04-28 13:18:38 > F_1/8 score (Step: 4000, Using test images): 0.931757274510826
[INFO] 2021-04-28 13:18:38 > FID score (Step: 4000, Using test moments): 32.18181089683674
[INFO] 2021-04-28 13:18:38 > Inception score (Step: 4000, 10000 generated images): 7.6396870613098145
[INFO] 2021-04-28 13:18:38 > Best FID score (Step: 4000, Using test moments): 32.18181089683674
[INFO] 2021-04-28 13:18:42 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 13:20:15 > Step:    4100 Progress: 4.1% Elapsed: 1:10:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.44373 Generator_loss: 3.7436 
[INFO] 2021-04-28 13:21:48 > Step:    4200 Progress: 4.2% Elapsed: 1:12:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.54044 Generator_loss: 3.27361 
[INFO] 2021-04-28 13:23:21 > Step:    4300 Progress: 4.3% Elapsed: 1:13:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.38399 Generator_loss: 2.80345 
[INFO] 2021-04-28 13:24:56 > Step:    4400 Progress: 4.4% Elapsed: 1:15:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.33155 Generator_loss: 2.80106 
[INFO] 2021-04-28 13:26:30 > Step:    4500 Progress: 4.5% Elapsed: 1:16:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.33993 Generator_loss: 2.57994 
[INFO] 2021-04-28 13:28:04 > Step:    4600 Progress: 4.6% Elapsed: 1:18:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.60368 Generator_loss: 2.92489 
[INFO] 2021-04-28 13:29:38 > Step:    4700 Progress: 4.7% Elapsed: 1:19:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.29953 Generator_loss: 2.61477 
[INFO] 2021-04-28 13:31:12 > Step:    4800 Progress: 4.8% Elapsed: 1:21:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.47631 Generator_loss: 2.81079 
[INFO] 2021-04-28 13:32:47 > Step:    4900 Progress: 4.9% Elapsed: 1:23:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.32209 Generator_loss: 2.66539 
[INFO] 2021-04-28 13:34:22 > Step:    5000 Progress: 5.0% Elapsed: 1:24:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.52551 Generator_loss: 2.14491 
[INFO] 2021-04-28 13:35:55 > Step:    5100 Progress: 5.1% Elapsed: 1:26:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.27452 Generator_loss: 2.83783 
[INFO] 2021-04-28 13:37:28 > Step:    5200 Progress: 5.2% Elapsed: 1:27:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.3537 Generator_loss: 2.7844 
[INFO] 2021-04-28 13:39:01 > Step:    5300 Progress: 5.3% Elapsed: 1:29:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.28293 Generator_loss: 2.18538 
[INFO] 2021-04-28 13:40:34 > Step:    5400 Progress: 5.4% Elapsed: 1:30:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.23004 Generator_loss: 2.38756 
[INFO] 2021-04-28 13:42:07 > Step:    5500 Progress: 5.5% Elapsed: 1:32:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.36861 Generator_loss: 1.98165 
[INFO] 2021-04-28 13:43:40 > Step:    5600 Progress: 5.6% Elapsed: 1:33:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.48641 Generator_loss: 3.01562 
[INFO] 2021-04-28 13:45:14 > Step:    5700 Progress: 5.7% Elapsed: 1:35:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.28552 Generator_loss: 2.6928 
[INFO] 2021-04-28 13:46:46 > Step:    5800 Progress: 5.8% Elapsed: 1:37:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.36539 Generator_loss: 3.73986 
[INFO] 2021-04-28 13:48:19 > Step:    5900 Progress: 5.9% Elapsed: 1:38:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.33708 Generator_loss: 2.64047 
[INFO] 2021-04-28 13:49:53 > Step:    6000 Progress: 6.0% Elapsed: 1:40:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.29868 Generator_loss: 2.33526 
[INFO] 2021-04-28 13:49:53 > Start Evaluation (6000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 13:49:53 > Calculating FID Score....
[INFO] 2021-04-28 13:50:38 > Calculating Inception Score....
[INFO] 2021-04-28 13:50:55 > Calculate F_beta Score....
[INFO] 2021-04-28 13:52:07 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 13:52:08 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 13:52:09 > Calculate Accuracies....
[INFO] 2021-04-28 13:52:17 > Calculate Accuracies....
[INFO] 2021-04-28 13:52:19 > F_8 score (Step: 6000, Using test images): 0.9100740082566247
[INFO] 2021-04-28 13:52:19 > F_1/8 score (Step: 6000, Using test images): 0.9496255867758672
[INFO] 2021-04-28 13:52:19 > FID score (Step: 6000, Using test moments): 29.26807689195448
[INFO] 2021-04-28 13:52:19 > Inception score (Step: 6000, 10000 generated images): 8.299625396728516
[INFO] 2021-04-28 13:52:19 > Best FID score (Step: 6000, Using test moments): 29.26807689195448
[INFO] 2021-04-28 13:52:22 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 13:53:57 > Step:    6100 Progress: 6.1% Elapsed: 1:44:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.46957 Generator_loss: 2.74762 
[INFO] 2021-04-28 13:55:29 > Step:    6200 Progress: 6.2% Elapsed: 1:45:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.23216 Generator_loss: 2.80748 
[INFO] 2021-04-28 13:57:02 > Step:    6300 Progress: 6.3% Elapsed: 1:47:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.51204 Generator_loss: 2.35105 
[INFO] 2021-04-28 13:58:36 > Step:    6400 Progress: 6.4% Elapsed: 1:48:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.33867 Generator_loss: 1.76344 
[INFO] 2021-04-28 14:00:09 > Step:    6500 Progress: 6.5% Elapsed: 1:50:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.19537 Generator_loss: 2.67689 
[INFO] 2021-04-28 14:01:41 > Step:    6600 Progress: 6.6% Elapsed: 1:52:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.33056 Generator_loss: 2.24378 
[INFO] 2021-04-28 14:03:14 > Step:    6700 Progress: 6.7% Elapsed: 1:53:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.61256 Generator_loss: 2.19202 
[INFO] 2021-04-28 14:04:47 > Step:    6800 Progress: 6.8% Elapsed: 1:55:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.43681 Generator_loss: 2.07714 
[INFO] 2021-04-28 14:06:19 > Step:    6900 Progress: 6.9% Elapsed: 1:56:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.39161 Generator_loss: 2.39678 
[INFO] 2021-04-28 14:07:51 > Step:    7000 Progress: 7.0% Elapsed: 1:58:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.66512 Generator_loss: 1.81259 
[INFO] 2021-04-28 14:09:24 > Step:    7100 Progress: 7.1% Elapsed: 1:59:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.36427 Generator_loss: 2.05686 
[INFO] 2021-04-28 14:10:57 > Step:    7200 Progress: 7.2% Elapsed: 2:01:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.45041 Generator_loss: 2.26231 
[INFO] 2021-04-28 14:12:31 > Step:    7300 Progress: 7.3% Elapsed: 2:02:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.40231 Generator_loss: 2.3642 
[INFO] 2021-04-28 14:14:04 > Step:    7400 Progress: 7.4% Elapsed: 2:04:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.27576 Generator_loss: 2.27056 
[INFO] 2021-04-28 14:15:38 > Step:    7500 Progress: 7.5% Elapsed: 2:05:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.38849 Generator_loss: 3.49612 
[INFO] 2021-04-28 14:17:11 > Step:    7600 Progress: 7.6% Elapsed: 2:07:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.2906 Generator_loss: 2.39865 
[INFO] 2021-04-28 14:18:44 > Step:    7700 Progress: 7.7% Elapsed: 2:09:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.40164 Generator_loss: 3.04573 
[INFO] 2021-04-28 14:20:17 > Step:    7800 Progress: 7.8% Elapsed: 2:10:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.37962 Generator_loss: 3.12222 
[INFO] 2021-04-28 14:21:52 > Step:    7900 Progress: 7.9% Elapsed: 2:12:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.2519 Generator_loss: 2.68322 
[INFO] 2021-04-28 14:23:24 > Step:    8000 Progress: 8.0% Elapsed: 2:13:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.54792 Generator_loss: 2.68116 
[INFO] 2021-04-28 14:23:24 > Start Evaluation (8000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 14:23:24 > Calculating FID Score....
[INFO] 2021-04-28 14:24:03 > Calculating Inception Score....
[INFO] 2021-04-28 14:24:20 > Calculate F_beta Score....
[INFO] 2021-04-28 14:25:28 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 14:25:29 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 14:25:30 > Calculate Accuracies....
[INFO] 2021-04-28 14:25:38 > Calculate Accuracies....
[INFO] 2021-04-28 14:25:40 > F_8 score (Step: 8000, Using test images): 0.9369453441755135
[INFO] 2021-04-28 14:25:40 > F_1/8 score (Step: 8000, Using test images): 0.9605544604086844
[INFO] 2021-04-28 14:25:40 > FID score (Step: 8000, Using test moments): 27.088609101254065
[INFO] 2021-04-28 14:25:40 > Inception score (Step: 8000, 10000 generated images): 8.650649070739746
[INFO] 2021-04-28 14:25:40 > Best FID score (Step: 8000, Using test moments): 27.088609101254065
[INFO] 2021-04-28 14:25:43 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 14:27:15 > Step:    8100 Progress: 8.1% Elapsed: 2:17:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.46069 Generator_loss: 3.01948 
[INFO] 2021-04-28 14:28:48 > Step:    8200 Progress: 8.2% Elapsed: 2:19:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.19527 Generator_loss: 3.21546 
[INFO] 2021-04-28 14:30:20 > Step:    8300 Progress: 8.3% Elapsed: 2:20:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.20104 Generator_loss: 2.99317 
[INFO] 2021-04-28 14:31:53 > Step:    8400 Progress: 8.4% Elapsed: 2:22:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.27746 Generator_loss: 2.09891 
[INFO] 2021-04-28 14:33:24 > Step:    8500 Progress: 8.5% Elapsed: 2:23:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.43147 Generator_loss: 3.18352 
[INFO] 2021-04-28 14:34:57 > Step:    8600 Progress: 8.6% Elapsed: 2:25:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.15276 Generator_loss: 2.90704 
[INFO] 2021-04-28 14:36:29 > Step:    8700 Progress: 8.7% Elapsed: 2:26:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.09562 Generator_loss: 2.926 
[INFO] 2021-04-28 14:38:01 > Step:    8800 Progress: 8.8% Elapsed: 2:28:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.56378 Generator_loss: 2.3748 
[INFO] 2021-04-28 14:39:35 > Step:    8900 Progress: 8.9% Elapsed: 2:29:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.21449 Generator_loss: 2.31412 
[INFO] 2021-04-28 14:41:06 > Step:    9000 Progress: 9.0% Elapsed: 2:31:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.16454 Generator_loss: 2.76199 
[INFO] 2021-04-28 14:42:38 > Step:    9100 Progress: 9.1% Elapsed: 2:32:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.1822 Generator_loss: 2.02123 
[INFO] 2021-04-28 14:44:09 > Step:    9200 Progress: 9.2% Elapsed: 2:34:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.39963 Generator_loss: 1.84881 
[INFO] 2021-04-28 14:45:41 > Step:    9300 Progress: 9.3% Elapsed: 2:36:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.38514 Generator_loss: 3.15311 
[INFO] 2021-04-28 14:47:12 > Step:    9400 Progress: 9.4% Elapsed: 2:37:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.34888 Generator_loss: 3.19675 
[INFO] 2021-04-28 14:48:44 > Step:    9500 Progress: 9.5% Elapsed: 2:39:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.03638 Generator_loss: 2.52837 
[INFO] 2021-04-28 14:50:16 > Step:    9600 Progress: 9.6% Elapsed: 2:40:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.22527 Generator_loss: 3.27513 
[INFO] 2021-04-28 14:51:48 > Step:    9700 Progress: 9.7% Elapsed: 2:42:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.22453 Generator_loss: 3.19176 
[INFO] 2021-04-28 14:53:18 > Step:    9800 Progress: 9.8% Elapsed: 2:43:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.53216 Generator_loss: 1.66558 
[INFO] 2021-04-28 14:54:50 > Step:    9900 Progress: 9.9% Elapsed: 2:45:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.31761 Generator_loss: 2.98138 
[INFO] 2021-04-28 14:56:21 > Step:   10000 Progress: 10.0% Elapsed: 2:46:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.14637 Generator_loss: 2.58701 
[INFO] 2021-04-28 14:56:21 > Start Evaluation (10000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 14:56:21 > Calculating FID Score....
[INFO] 2021-04-28 14:56:59 > Calculating Inception Score....
[INFO] 2021-04-28 14:57:16 > Calculate F_beta Score....
[INFO] 2021-04-28 14:58:20 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 14:58:21 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 14:58:22 > Calculate Accuracies....
[INFO] 2021-04-28 14:58:30 > Calculate Accuracies....
[INFO] 2021-04-28 14:58:32 > F_8 score (Step: 10000, Using test images): 0.9604165649460448
[INFO] 2021-04-28 14:58:32 > F_1/8 score (Step: 10000, Using test images): 0.9731704566634447
[INFO] 2021-04-28 14:58:32 > FID score (Step: 10000, Using test moments): 23.568737627057487
[INFO] 2021-04-28 14:58:32 > Inception score (Step: 10000, 10000 generated images): 9.035236358642578
[INFO] 2021-04-28 14:58:32 > Best FID score (Step: 10000, Using test moments): 23.568737627057487
[INFO] 2021-04-28 14:58:35 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 15:00:05 > Step:   10100 Progress: 10.1% Elapsed: 2:50:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.26871 Generator_loss: 2.26913 
[INFO] 2021-04-28 15:01:35 > Step:   10200 Progress: 10.2% Elapsed: 2:51:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.15059 Generator_loss: 2.6007 
[INFO] 2021-04-28 15:03:07 > Step:   10300 Progress: 10.3% Elapsed: 2:53:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.18439 Generator_loss: 2.51404 
[INFO] 2021-04-28 15:04:38 > Step:   10400 Progress: 10.4% Elapsed: 2:54:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.32548 Generator_loss: 2.73707 
[INFO] 2021-04-28 15:06:09 > Step:   10500 Progress: 10.5% Elapsed: 2:56:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.06662 Generator_loss: 2.55339 
[INFO] 2021-04-28 15:07:40 > Step:   10600 Progress: 10.6% Elapsed: 2:57:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.65027 Generator_loss: 3.55486 
[INFO] 2021-04-28 15:09:13 > Step:   10700 Progress: 10.7% Elapsed: 2:59:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.12861 Generator_loss: 2.84155 
[INFO] 2021-04-28 15:10:43 > Step:   10800 Progress: 10.8% Elapsed: 3:01:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.17514 Generator_loss: 2.23557 
[INFO] 2021-04-28 15:12:14 > Step:   10900 Progress: 10.9% Elapsed: 3:02:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.20756 Generator_loss: 2.75047 
[INFO] 2021-04-28 15:13:45 > Step:   11000 Progress: 11.0% Elapsed: 3:04:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.3415 Generator_loss: 3.40714 
[INFO] 2021-04-28 15:15:17 > Step:   11100 Progress: 11.1% Elapsed: 3:05:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.10687 Generator_loss: 2.87918 
[INFO] 2021-04-28 15:16:48 > Step:   11200 Progress: 11.2% Elapsed: 3:07:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.26982 Generator_loss: 2.3676 
[INFO] 2021-04-28 15:18:19 > Step:   11300 Progress: 11.3% Elapsed: 3:08:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.26367 Generator_loss: 3.18587 
[INFO] 2021-04-28 15:19:51 > Step:   11400 Progress: 11.4% Elapsed: 3:10:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.16262 Generator_loss: 2.30649 
[INFO] 2021-04-28 15:21:22 > Step:   11500 Progress: 11.5% Elapsed: 3:11:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.24224 Generator_loss: 3.24278 
[INFO] 2021-04-28 15:22:52 > Step:   11600 Progress: 11.6% Elapsed: 3:13:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.06801 Generator_loss: 2.68811 
[INFO] 2021-04-28 15:24:24 > Step:   11700 Progress: 11.7% Elapsed: 3:14:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.21099 Generator_loss: 2.92483 
[INFO] 2021-04-28 15:25:55 > Step:   11800 Progress: 11.8% Elapsed: 3:16:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.16368 Generator_loss: 2.62327 
[INFO] 2021-04-28 15:27:26 > Step:   11900 Progress: 11.9% Elapsed: 3:17:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.54382 Generator_loss: 3.41703 
[INFO] 2021-04-28 15:28:56 > Step:   12000 Progress: 12.0% Elapsed: 3:19:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.27946 Generator_loss: 2.77514 
[INFO] 2021-04-28 15:28:56 > Start Evaluation (12000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 15:28:56 > Calculating FID Score....
[INFO] 2021-04-28 15:29:33 > Calculating Inception Score....
[INFO] 2021-04-28 15:29:51 > Calculate F_beta Score....
[INFO] 2021-04-28 15:30:55 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 15:30:56 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 15:30:57 > Calculate Accuracies....
[INFO] 2021-04-28 15:31:05 > Calculate Accuracies....
[INFO] 2021-04-28 15:31:07 > F_8 score (Step: 12000, Using test images): 0.9701320040750193
[INFO] 2021-04-28 15:31:07 > F_1/8 score (Step: 12000, Using test images): 0.9793693890408193
[INFO] 2021-04-28 15:31:07 > FID score (Step: 12000, Using test moments): 19.839472771076544
[INFO] 2021-04-28 15:31:07 > Inception score (Step: 12000, 10000 generated images): 9.337677955627441
[INFO] 2021-04-28 15:31:07 > Best FID score (Step: 12000, Using test moments): 19.839472771076544
[INFO] 2021-04-28 15:31:10 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 15:32:44 > Step:   12100 Progress: 12.1% Elapsed: 3:23:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.13814 Generator_loss: 2.30954 
[INFO] 2021-04-28 15:34:14 > Step:   12200 Progress: 12.2% Elapsed: 3:24:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.33495 Generator_loss: 3.44114 
[INFO] 2021-04-28 15:35:43 > Step:   12300 Progress: 12.3% Elapsed: 3:26:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.16819 Generator_loss: 2.31094 
[INFO] 2021-04-28 15:37:14 > Step:   12400 Progress: 12.4% Elapsed: 3:27:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.16629 Generator_loss: 2.90498 
[INFO] 2021-04-28 15:38:45 > Step:   12500 Progress: 12.5% Elapsed: 3:29:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.20418 Generator_loss: 2.9441 
[INFO] 2021-04-28 15:40:15 > Step:   12600 Progress: 12.6% Elapsed: 3:30:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.99759 Generator_loss: 2.6879 
[INFO] 2021-04-28 15:41:44 > Step:   12700 Progress: 12.7% Elapsed: 3:32:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.1192 Generator_loss: 2.6274 
[INFO] 2021-04-28 15:43:15 > Step:   12800 Progress: 12.8% Elapsed: 3:33:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.10211 Generator_loss: 3.1274 
[INFO] 2021-04-28 15:44:46 > Step:   12900 Progress: 12.9% Elapsed: 3:35:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.17162 Generator_loss: 2.94627 
[INFO] 2021-04-28 15:46:16 > Step:   13000 Progress: 13.0% Elapsed: 3:36:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.3283 Generator_loss: 2.98894 
[INFO] 2021-04-28 15:47:47 > Step:   13100 Progress: 13.1% Elapsed: 3:38:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.1069 Generator_loss: 2.29923 
[INFO] 2021-04-28 15:49:17 > Step:   13200 Progress: 13.2% Elapsed: 3:39:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.1614 Generator_loss: 2.47047 
[INFO] 2021-04-28 15:50:47 > Step:   13300 Progress: 13.3% Elapsed: 3:41:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.1927 Generator_loss: 2.7293 
[INFO] 2021-04-28 15:52:17 > Step:   13400 Progress: 13.4% Elapsed: 3:42:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.06473 Generator_loss: 3.00294 
[INFO] 2021-04-28 15:53:49 > Step:   13500 Progress: 13.5% Elapsed: 3:44:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.15502 Generator_loss: 2.54523 
[INFO] 2021-04-28 15:55:19 > Step:   13600 Progress: 13.6% Elapsed: 3:45:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.25329 Generator_loss: 2.9162 
[INFO] 2021-04-28 15:56:49 > Step:   13700 Progress: 13.7% Elapsed: 3:47:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.18268 Generator_loss: 3.07525 
[INFO] 2021-04-28 15:58:21 > Step:   13800 Progress: 13.8% Elapsed: 3:48:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.16384 Generator_loss: 3.4421 
[INFO] 2021-04-28 15:59:52 > Step:   13900 Progress: 13.9% Elapsed: 3:50:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.23455 Generator_loss: 2.26751 
[INFO] 2021-04-28 16:01:25 > Step:   14000 Progress: 14.0% Elapsed: 3:51:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.14415 Generator_loss: 2.41193 
[INFO] 2021-04-28 16:01:25 > Start Evaluation (14000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 16:01:25 > Calculating FID Score....
[INFO] 2021-04-28 16:02:02 > Calculating Inception Score....
[INFO] 2021-04-28 16:02:19 > Calculate F_beta Score....
[INFO] 2021-04-28 16:03:26 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 16:03:27 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 16:03:27 > Calculate Accuracies....
[INFO] 2021-04-28 16:03:36 > Calculate Accuracies....
[INFO] 2021-04-28 16:03:40 > F_8 score (Step: 14000, Using test images): 0.9803898965588171
[INFO] 2021-04-28 16:03:40 > F_1/8 score (Step: 14000, Using test images): 0.9827611742543231
[INFO] 2021-04-28 16:03:40 > FID score (Step: 14000, Using test moments): 17.16856286329903
[INFO] 2021-04-28 16:03:40 > Inception score (Step: 14000, 10000 generated images): 9.452853202819824
[INFO] 2021-04-28 16:03:40 > Best FID score (Step: 14000, Using test moments): 17.16856286329903
[INFO] 2021-04-28 16:03:43 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 16:05:13 > Step:   14100 Progress: 14.1% Elapsed: 3:55:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.08274 Generator_loss: 2.54445 
[INFO] 2021-04-28 16:06:44 > Step:   14200 Progress: 14.2% Elapsed: 3:57:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.10597 Generator_loss: 2.61424 
[INFO] 2021-04-28 16:08:13 > Step:   14300 Progress: 14.3% Elapsed: 3:58:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.22671 Generator_loss: 3.0496 
[INFO] 2021-04-28 16:09:42 > Step:   14400 Progress: 14.4% Elapsed: 4:00:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.24499 Generator_loss: 2.51046 
[INFO] 2021-04-28 16:11:15 > Step:   14500 Progress: 14.5% Elapsed: 4:01:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.18077 Generator_loss: 2.6371 
[INFO] 2021-04-28 16:12:46 > Step:   14600 Progress: 14.6% Elapsed: 4:03:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.46299 Generator_loss: 2.19987 
[INFO] 2021-04-28 16:14:16 > Step:   14700 Progress: 14.7% Elapsed: 4:04:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.09298 Generator_loss: 2.26523 
[INFO] 2021-04-28 16:15:45 > Step:   14800 Progress: 14.8% Elapsed: 4:06:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.47207 Generator_loss: 3.02518 
[INFO] 2021-04-28 16:17:15 > Step:   14900 Progress: 14.9% Elapsed: 4:07:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.10617 Generator_loss: 2.59318 
[INFO] 2021-04-28 16:18:45 > Step:   15000 Progress: 15.0% Elapsed: 4:09:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.22343 Generator_loss: 2.47782 
[INFO] 2021-04-28 16:20:14 > Step:   15100 Progress: 15.1% Elapsed: 4:10:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.21066 Generator_loss: 2.56714 
[INFO] 2021-04-28 16:21:44 > Step:   15200 Progress: 15.2% Elapsed: 4:12:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.21331 Generator_loss: 2.44425 
[INFO] 2021-04-28 16:23:15 > Step:   15300 Progress: 15.3% Elapsed: 4:13:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.19481 Generator_loss: 2.71228 
[INFO] 2021-04-28 16:24:44 > Step:   15400 Progress: 15.4% Elapsed: 4:15:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.17514 Generator_loss: 2.79421 
[INFO] 2021-04-28 16:26:14 > Step:   15500 Progress: 15.5% Elapsed: 4:16:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.04306 Generator_loss: 1.96177 
[INFO] 2021-04-28 16:27:43 > Step:   15600 Progress: 15.6% Elapsed: 4:18:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.27205 Generator_loss: 3.06024 
[INFO] 2021-04-28 16:29:15 > Step:   15700 Progress: 15.7% Elapsed: 4:19:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.98563 Generator_loss: 2.8725 
[INFO] 2021-04-28 16:30:45 > Step:   15800 Progress: 15.8% Elapsed: 4:21:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.12683 Generator_loss: 2.98149 
[INFO] 2021-04-28 16:32:14 > Step:   15900 Progress: 15.9% Elapsed: 4:22:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.17157 Generator_loss: 1.97489 
[INFO] 2021-04-28 16:33:46 > Step:   16000 Progress: 16.0% Elapsed: 4:24:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.24534 Generator_loss: 2.68872 
[INFO] 2021-04-28 16:33:46 > Start Evaluation (16000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 16:33:46 > Calculating FID Score....
[INFO] 2021-04-28 16:34:24 > Calculating Inception Score....
[INFO] 2021-04-28 16:34:41 > Calculate F_beta Score....
[INFO] 2021-04-28 16:35:46 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 16:35:47 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 16:35:47 > Calculate Accuracies....
[INFO] 2021-04-28 16:35:55 > Calculate Accuracies....
[INFO] 2021-04-28 16:35:57 > F_8 score (Step: 16000, Using test images): 0.9792868039783472
[INFO] 2021-04-28 16:35:57 > F_1/8 score (Step: 16000, Using test images): 0.9858953577150426
[INFO] 2021-04-28 16:35:57 > FID score (Step: 16000, Using test moments): 14.91890716688198
[INFO] 2021-04-28 16:35:57 > Inception score (Step: 16000, 10000 generated images): 9.53743839263916
[INFO] 2021-04-28 16:35:57 > Best FID score (Step: 16000, Using test moments): 14.91890716688198
[INFO] 2021-04-28 16:36:00 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 16:37:30 > Step:   16100 Progress: 16.1% Elapsed: 4:27:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.37127 Generator_loss: 2.09082 
[INFO] 2021-04-28 16:38:59 > Step:   16200 Progress: 16.2% Elapsed: 4:29:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.02432 Generator_loss: 2.37871 
[INFO] 2021-04-28 16:40:29 > Step:   16300 Progress: 16.3% Elapsed: 4:30:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.34073 Generator_loss: 3.41551 
[INFO] 2021-04-28 16:42:01 > Step:   16400 Progress: 16.4% Elapsed: 4:32:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.18205 Generator_loss: 3.14442 
[INFO] 2021-04-28 16:43:32 > Step:   16500 Progress: 16.5% Elapsed: 4:33:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.03571 Generator_loss: 2.74781 
[INFO] 2021-04-28 16:45:01 > Step:   16600 Progress: 16.6% Elapsed: 4:35:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.17185 Generator_loss: 3.53355 
[INFO] 2021-04-28 16:46:31 > Step:   16700 Progress: 16.7% Elapsed: 4:36:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.12363 Generator_loss: 2.6742 
[INFO] 2021-04-28 16:48:01 > Step:   16800 Progress: 16.8% Elapsed: 4:38:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.11422 Generator_loss: 2.45144 
[INFO] 2021-04-28 16:49:31 > Step:   16900 Progress: 16.9% Elapsed: 4:39:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.16089 Generator_loss: 2.80111 
[INFO] 2021-04-28 16:51:02 > Step:   17000 Progress: 17.0% Elapsed: 4:41:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.1 Generator_loss: 3.06794 
[INFO] 2021-04-28 16:52:31 > Step:   17100 Progress: 17.1% Elapsed: 4:42:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.09337 Generator_loss: 3.02551 
[INFO] 2021-04-28 16:54:01 > Step:   17200 Progress: 17.2% Elapsed: 4:44:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.02253 Generator_loss: 2.64438 
[INFO] 2021-04-28 16:55:30 > Step:   17300 Progress: 17.3% Elapsed: 4:45:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.14327 Generator_loss: 3.04176 
[INFO] 2021-04-28 16:57:00 > Step:   17400 Progress: 17.4% Elapsed: 4:47:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.01325 Generator_loss: 2.79989 
[INFO] 2021-04-28 16:58:29 > Step:   17500 Progress: 17.5% Elapsed: 4:48:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.04368 Generator_loss: 2.38375 
[INFO] 2021-04-28 16:59:58 > Step:   17600 Progress: 17.6% Elapsed: 4:50:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.10648 Generator_loss: 2.84814 
[INFO] 2021-04-28 17:01:27 > Step:   17700 Progress: 17.7% Elapsed: 4:51:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.40719 Generator_loss: 3.59974 
[INFO] 2021-04-28 17:02:57 > Step:   17800 Progress: 17.8% Elapsed: 4:53:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.00544 Generator_loss: 2.99 
[INFO] 2021-04-28 17:04:25 > Step:   17900 Progress: 17.9% Elapsed: 4:54:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.02781 Generator_loss: 2.82312 
[INFO] 2021-04-28 17:05:54 > Step:   18000 Progress: 18.0% Elapsed: 4:56:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.25506 Generator_loss: 2.74686 
[INFO] 2021-04-28 17:05:54 > Start Evaluation (18000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 17:05:54 > Calculating FID Score....
[INFO] 2021-04-28 17:06:31 > Calculating Inception Score....
[INFO] 2021-04-28 17:06:49 > Calculate F_beta Score....
[INFO] 2021-04-28 17:07:54 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 17:07:54 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 17:07:55 > Calculate Accuracies....
[INFO] 2021-04-28 17:08:03 > Calculate Accuracies....
[INFO] 2021-04-28 17:08:05 > F_8 score (Step: 18000, Using test images): 0.9843649799690327
[INFO] 2021-04-28 17:08:05 > F_1/8 score (Step: 18000, Using test images): 0.9878661559094597
[INFO] 2021-04-28 17:08:05 > FID score (Step: 18000, Using test moments): 13.17071320823868
[INFO] 2021-04-28 17:08:05 > Inception score (Step: 18000, 10000 generated images): 9.538121223449707
[INFO] 2021-04-28 17:08:05 > Best FID score (Step: 18000, Using test moments): 13.17071320823868
[INFO] 2021-04-28 17:08:07 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 17:09:38 > Step:   18100 Progress: 18.1% Elapsed: 4:59:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.30377 Generator_loss: 2.01246 
[INFO] 2021-04-28 17:11:07 > Step:   18200 Progress: 18.2% Elapsed: 5:01:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.12234 Generator_loss: 2.7197 
[INFO] 2021-04-28 17:12:36 > Step:   18300 Progress: 18.3% Elapsed: 5:02:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.08256 Generator_loss: 2.57006 
[INFO] 2021-04-28 17:14:04 > Step:   18400 Progress: 18.4% Elapsed: 5:04:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.99192 Generator_loss: 3.02045 
[INFO] 2021-04-28 17:15:34 > Step:   18500 Progress: 18.5% Elapsed: 5:05:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.25777 Generator_loss: 3.49375 
[INFO] 2021-04-28 17:17:03 > Step:   18600 Progress: 18.6% Elapsed: 5:07:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.03366 Generator_loss: 2.90248 
[INFO] 2021-04-28 17:18:32 > Step:   18700 Progress: 18.7% Elapsed: 5:08:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.10401 Generator_loss: 2.68233 
[INFO] 2021-04-28 17:20:02 > Step:   18800 Progress: 18.8% Elapsed: 5:10:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.04092 Generator_loss: 3.01995 
[INFO] 2021-04-28 17:21:33 > Step:   18900 Progress: 18.9% Elapsed: 5:11:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.117 Generator_loss: 2.87393 
[INFO] 2021-04-28 17:23:04 > Step:   19000 Progress: 19.0% Elapsed: 5:13:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.15125 Generator_loss: 2.64976 
[INFO] 2021-04-28 17:24:32 > Step:   19100 Progress: 19.1% Elapsed: 5:14:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.12716 Generator_loss: 2.68766 
[INFO] 2021-04-28 17:26:01 > Step:   19200 Progress: 19.2% Elapsed: 5:16:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.09701 Generator_loss: 3.4627 
[INFO] 2021-04-28 17:27:30 > Step:   19300 Progress: 19.3% Elapsed: 5:17:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.18974 Generator_loss: 2.40665 
[INFO] 2021-04-28 17:28:59 > Step:   19400 Progress: 19.4% Elapsed: 5:19:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.205 Generator_loss: 3.13062 
[INFO] 2021-04-28 17:30:29 > Step:   19500 Progress: 19.5% Elapsed: 5:20:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.15995 Generator_loss: 2.06756 
[INFO] 2021-04-28 17:31:59 > Step:   19600 Progress: 19.6% Elapsed: 5:22:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.00056 Generator_loss: 3.04805 
[INFO] 2021-04-28 17:33:28 > Step:   19700 Progress: 19.7% Elapsed: 5:23:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.00377 Generator_loss: 2.48648 
[INFO] 2021-04-28 17:34:57 > Step:   19800 Progress: 19.8% Elapsed: 5:25:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.05382 Generator_loss: 2.57524 
[INFO] 2021-04-28 17:36:26 > Step:   19900 Progress: 19.9% Elapsed: 5:26:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.22811 Generator_loss: 1.87761 
[INFO] 2021-04-28 17:37:55 > Step:   20000 Progress: 20.0% Elapsed: 5:28:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.2575 Generator_loss: 1.81596 
[INFO] 2021-04-28 17:37:55 > Start Evaluation (20000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 17:37:55 > Calculating FID Score....
[INFO] 2021-04-28 17:38:31 > Calculating Inception Score....
[INFO] 2021-04-28 17:38:48 > Calculate F_beta Score....
[INFO] 2021-04-28 17:39:50 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 17:39:51 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 17:39:51 > Calculate Accuracies....
[INFO] 2021-04-28 17:39:59 > Calculate Accuracies....
[INFO] 2021-04-28 17:40:01 > F_8 score (Step: 20000, Using test images): 0.9835705327723145
[INFO] 2021-04-28 17:40:01 > F_1/8 score (Step: 20000, Using test images): 0.9900906052897462
[INFO] 2021-04-28 17:40:01 > FID score (Step: 20000, Using test moments): 12.041961242345053
[INFO] 2021-04-28 17:40:01 > Inception score (Step: 20000, 10000 generated images): 9.77027702331543
[INFO] 2021-04-28 17:40:01 > Best FID score (Step: 20000, Using test moments): 12.041961242345053
[INFO] 2021-04-28 17:40:04 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 17:41:31 > Step:   20100 Progress: 20.1% Elapsed: 5:31:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.99872 Generator_loss: 1.72646 
[INFO] 2021-04-28 17:43:00 > Step:   20200 Progress: 20.2% Elapsed: 5:33:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.02083 Generator_loss: 2.43276 
[INFO] 2021-04-28 17:44:29 > Step:   20300 Progress: 20.3% Elapsed: 5:34:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.01001 Generator_loss: 2.24903 
[INFO] 2021-04-28 17:45:57 > Step:   20400 Progress: 20.4% Elapsed: 5:36:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.21058 Generator_loss: 3.42516 
[INFO] 2021-04-28 17:47:25 > Step:   20500 Progress: 20.5% Elapsed: 5:37:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.17648 Generator_loss: 3.2474 
[INFO] 2021-04-28 17:48:54 > Step:   20600 Progress: 20.6% Elapsed: 5:39:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.02138 Generator_loss: 3.05362 
[INFO] 2021-04-28 17:50:23 > Step:   20700 Progress: 20.7% Elapsed: 5:40:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.17196 Generator_loss: 2.47882 
[INFO] 2021-04-28 17:51:52 > Step:   20800 Progress: 20.8% Elapsed: 5:42:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.24268 Generator_loss: 2.39352 
[INFO] 2021-04-28 17:53:20 > Step:   20900 Progress: 20.9% Elapsed: 5:43:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.08056 Generator_loss: 2.42253 
[INFO] 2021-04-28 17:54:48 > Step:   21000 Progress: 21.0% Elapsed: 5:45:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.06509 Generator_loss: 2.57349 
[INFO] 2021-04-28 17:56:16 > Step:   21100 Progress: 21.1% Elapsed: 5:46:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.09318 Generator_loss: 2.74742 
[INFO] 2021-04-28 17:57:46 > Step:   21200 Progress: 21.2% Elapsed: 5:48:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.10465 Generator_loss: 3.40431 
[INFO] 2021-04-28 17:59:16 > Step:   21300 Progress: 21.3% Elapsed: 5:49:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.26699 Generator_loss: 3.07193 
[INFO] 2021-04-28 18:00:44 > Step:   21400 Progress: 21.4% Elapsed: 5:51:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.41232 Generator_loss: 3.69668 
[INFO] 2021-04-28 18:02:13 > Step:   21500 Progress: 21.5% Elapsed: 5:52:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.92407 Generator_loss: 3.20241 
[INFO] 2021-04-28 18:03:41 > Step:   21600 Progress: 21.6% Elapsed: 5:54:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.10883 Generator_loss: 2.54605 
[INFO] 2021-04-28 18:05:13 > Step:   21700 Progress: 21.7% Elapsed: 5:55:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.90462 Generator_loss: 2.60897 
[INFO] 2021-04-28 18:06:41 > Step:   21800 Progress: 21.8% Elapsed: 5:57:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.02931 Generator_loss: 2.64133 
[INFO] 2021-04-28 18:08:10 > Step:   21900 Progress: 21.9% Elapsed: 5:58:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.21735 Generator_loss: 2.97835 
[INFO] 2021-04-28 18:09:40 > Step:   22000 Progress: 22.0% Elapsed: 5:59:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.16219 Generator_loss: 2.33859 
[INFO] 2021-04-28 18:09:40 > Start Evaluation (22000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 18:09:40 > Calculating FID Score....
[INFO] 2021-04-28 18:10:16 > Calculating Inception Score....
[INFO] 2021-04-28 18:10:34 > Calculate F_beta Score....
[INFO] 2021-04-28 18:11:36 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 18:11:36 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 18:11:37 > Calculate Accuracies....
[INFO] 2021-04-28 18:11:45 > Calculate Accuracies....
[INFO] 2021-04-28 18:11:47 > F_8 score (Step: 22000, Using test images): 0.9827271702423336
[INFO] 2021-04-28 18:11:47 > F_1/8 score (Step: 22000, Using test images): 0.9889228844140175
[INFO] 2021-04-28 18:11:47 > FID score (Step: 22000, Using test moments): 11.383109749967105
[INFO] 2021-04-28 18:11:47 > Inception score (Step: 22000, 10000 generated images): 9.708881378173828
[INFO] 2021-04-28 18:11:47 > Best FID score (Step: 22000, Using test moments): 11.383109749967105
[INFO] 2021-04-28 18:11:50 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 18:13:18 > Step:   22100 Progress: 22.1% Elapsed: 6:03:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.00476 Generator_loss: 2.97968 
[INFO] 2021-04-28 18:14:46 > Step:   22200 Progress: 22.2% Elapsed: 6:05:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.99883 Generator_loss: 3.82373 
[INFO] 2021-04-28 18:16:14 > Step:   22300 Progress: 22.3% Elapsed: 6:06:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.02592 Generator_loss: 2.39206 
[INFO] 2021-04-28 18:17:43 > Step:   22400 Progress: 22.4% Elapsed: 6:08:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.08658 Generator_loss: 3.40508 
[INFO] 2021-04-28 18:19:12 > Step:   22500 Progress: 22.5% Elapsed: 6:09:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.02272 Generator_loss: 2.77077 
[INFO] 2021-04-28 18:20:40 > Step:   22600 Progress: 22.6% Elapsed: 6:10:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.94038 Generator_loss: 2.73434 
[INFO] 2021-04-28 18:22:09 > Step:   22700 Progress: 22.7% Elapsed: 6:12:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.93827 Generator_loss: 2.65352 
[INFO] 2021-04-28 18:23:37 > Step:   22800 Progress: 22.8% Elapsed: 6:13:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.04126 Generator_loss: 3.03083 
[INFO] 2021-04-28 18:25:05 > Step:   22900 Progress: 22.9% Elapsed: 6:15:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.23892 Generator_loss: 2.79502 
[INFO] 2021-04-28 18:26:33 > Step:   23000 Progress: 23.0% Elapsed: 6:16:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.26727 Generator_loss: 2.41487 
[INFO] 2021-04-28 18:28:02 > Step:   23100 Progress: 23.1% Elapsed: 6:18:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.35453 Generator_loss: 2.29097 
[INFO] 2021-04-28 18:29:30 > Step:   23200 Progress: 23.2% Elapsed: 6:19:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.026 Generator_loss: 2.0554 
[INFO] 2021-04-28 18:30:58 > Step:   23300 Progress: 23.3% Elapsed: 6:21:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.19699 Generator_loss: 2.98674 
[INFO] 2021-04-28 18:32:27 > Step:   23400 Progress: 23.4% Elapsed: 6:22:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.05449 Generator_loss: 2.59965 
[INFO] 2021-04-28 18:33:56 > Step:   23500 Progress: 23.5% Elapsed: 6:24:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.28505 Generator_loss: 2.22148 
[INFO] 2021-04-28 18:35:23 > Step:   23600 Progress: 23.6% Elapsed: 6:25:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.17356 Generator_loss: 3.27704 
[INFO] 2021-04-28 18:36:51 > Step:   23700 Progress: 23.7% Elapsed: 6:27:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.11297 Generator_loss: 2.9978 
[INFO] 2021-04-28 18:38:20 > Step:   23800 Progress: 23.8% Elapsed: 6:28:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.97923 Generator_loss: 3.09739 
[INFO] 2021-04-28 18:39:49 > Step:   23900 Progress: 23.9% Elapsed: 6:30:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.03855 Generator_loss: 3.14663 
[INFO] 2021-04-28 18:41:18 > Step:   24000 Progress: 24.0% Elapsed: 6:31:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.132 Generator_loss: 2.58518 
[INFO] 2021-04-28 18:41:18 > Start Evaluation (24000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 18:41:18 > Calculating FID Score....
[INFO] 2021-04-28 18:41:57 > Calculating Inception Score....
[INFO] 2021-04-28 18:42:14 > Calculate F_beta Score....
[INFO] 2021-04-28 18:43:16 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 18:43:17 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 18:43:18 > Calculate Accuracies....
[INFO] 2021-04-28 18:43:25 > Calculate Accuracies....
[INFO] 2021-04-28 18:43:28 > F_8 score (Step: 24000, Using test images): 0.9863794663734355
[INFO] 2021-04-28 18:43:28 > F_1/8 score (Step: 24000, Using test images): 0.9905632119804407
[INFO] 2021-04-28 18:43:28 > FID score (Step: 24000, Using test moments): 10.479152635138348
[INFO] 2021-04-28 18:43:28 > Inception score (Step: 24000, 10000 generated images): 9.749311447143555
[INFO] 2021-04-28 18:43:28 > Best FID score (Step: 24000, Using test moments): 10.479152635138348
[INFO] 2021-04-28 18:43:31 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 18:45:00 > Step:   24100 Progress: 24.1% Elapsed: 6:35:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.15264 Generator_loss: 2.49368 
[INFO] 2021-04-28 18:46:29 > Step:   24200 Progress: 24.2% Elapsed: 6:36:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.99267 Generator_loss: 3.21652 
[INFO] 2021-04-28 18:47:57 > Step:   24300 Progress: 24.3% Elapsed: 6:38:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.95701 Generator_loss: 2.60887 
[INFO] 2021-04-28 18:49:25 > Step:   24400 Progress: 24.4% Elapsed: 6:39:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.00618 Generator_loss: 2.80337 
[INFO] 2021-04-28 18:50:54 > Step:   24500 Progress: 24.5% Elapsed: 6:41:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.17911 Generator_loss: 2.36866 
[INFO] 2021-04-28 18:52:21 > Step:   24600 Progress: 24.6% Elapsed: 6:42:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.51024 Generator_loss: 2.07811 
[INFO] 2021-04-28 18:53:49 > Step:   24700 Progress: 24.7% Elapsed: 6:44:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.09868 Generator_loss: 3.15458 
[INFO] 2021-04-28 18:55:17 > Step:   24800 Progress: 24.8% Elapsed: 6:45:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.14968 Generator_loss: 2.9103 
[INFO] 2021-04-28 18:56:44 > Step:   24900 Progress: 24.9% Elapsed: 6:47:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.19613 Generator_loss: 3.1256 
[INFO] 2021-04-28 18:58:13 > Step:   25000 Progress: 25.0% Elapsed: 6:48:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.09528 Generator_loss: 2.52516 
[INFO] 2021-04-28 18:59:40 > Step:   25100 Progress: 25.1% Elapsed: 6:49:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.10561 Generator_loss: 2.40061 
[INFO] 2021-04-28 19:01:09 > Step:   25200 Progress: 25.2% Elapsed: 6:51:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.21433 Generator_loss: 2.39623 
[INFO] 2021-04-28 19:02:37 > Step:   25300 Progress: 25.3% Elapsed: 6:52:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.99359 Generator_loss: 3.28669 
[INFO] 2021-04-28 19:04:05 > Step:   25400 Progress: 25.4% Elapsed: 6:54:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.00107 Generator_loss: 2.4382 
[INFO] 2021-04-28 19:05:33 > Step:   25500 Progress: 25.5% Elapsed: 6:55:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.35419 Generator_loss: 2.27377 
[INFO] 2021-04-28 19:07:02 > Step:   25600 Progress: 25.6% Elapsed: 6:57:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.15417 Generator_loss: 2.30977 
[INFO] 2021-04-28 19:08:29 > Step:   25700 Progress: 25.7% Elapsed: 6:58:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.99332 Generator_loss: 2.62236 
[INFO] 2021-04-28 19:09:56 > Step:   25800 Progress: 25.8% Elapsed: 7:00:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.12588 Generator_loss: 2.41402 
[INFO] 2021-04-28 19:11:25 > Step:   25900 Progress: 25.9% Elapsed: 7:01:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.95176 Generator_loss: 2.77165 
[INFO] 2021-04-28 19:12:52 > Step:   26000 Progress: 26.0% Elapsed: 7:03:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.95943 Generator_loss: 2.57957 
[INFO] 2021-04-28 19:12:52 > Start Evaluation (26000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 19:12:52 > Calculating FID Score....
[INFO] 2021-04-28 19:13:29 > Calculating Inception Score....
[INFO] 2021-04-28 19:13:47 > Calculate F_beta Score....
[INFO] 2021-04-28 19:14:48 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 19:14:48 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 19:14:49 > Calculate Accuracies....
[INFO] 2021-04-28 19:14:57 > Calculate Accuracies....
[INFO] 2021-04-28 19:14:59 > F_8 score (Step: 26000, Using test images): 0.9893881727065823
[INFO] 2021-04-28 19:14:59 > F_1/8 score (Step: 26000, Using test images): 0.9914755925668653
[INFO] 2021-04-28 19:14:59 > FID score (Step: 26000, Using test moments): 9.982132681379312
[INFO] 2021-04-28 19:14:59 > Inception score (Step: 26000, 10000 generated images): 9.782208442687988
[INFO] 2021-04-28 19:14:59 > Best FID score (Step: 26000, Using test moments): 9.982132681379312
[INFO] 2021-04-28 19:15:02 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 19:16:29 > Step:   26100 Progress: 26.1% Elapsed: 7:06:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.9536 Generator_loss: 2.20488 
[INFO] 2021-04-28 19:17:56 > Step:   26200 Progress: 26.2% Elapsed: 7:08:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.09226 Generator_loss: 2.90289 
[INFO] 2021-04-28 19:19:24 > Step:   26300 Progress: 26.3% Elapsed: 7:09:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.27267 Generator_loss: 2.40881 
[INFO] 2021-04-28 19:20:53 > Step:   26400 Progress: 26.4% Elapsed: 7:11:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.11997 Generator_loss: 2.70413 
[INFO] 2021-04-28 19:22:21 > Step:   26500 Progress: 26.5% Elapsed: 7:12:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.08649 Generator_loss: 3.34372 
[INFO] 2021-04-28 19:23:51 > Step:   26600 Progress: 26.6% Elapsed: 7:14:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.22873 Generator_loss: 3.53609 
[INFO] 2021-04-28 19:25:19 > Step:   26700 Progress: 26.7% Elapsed: 7:15:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.07778 Generator_loss: 3.17397 
[INFO] 2021-04-28 19:26:47 > Step:   26800 Progress: 26.8% Elapsed: 7:17:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.96487 Generator_loss: 2.83713 
[INFO] 2021-04-28 19:28:14 > Step:   26900 Progress: 26.9% Elapsed: 7:18:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.95466 Generator_loss: 2.34073 
[INFO] 2021-04-28 19:29:42 > Step:   27000 Progress: 27.0% Elapsed: 7:20:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.94815 Generator_loss: 2.8645 
[INFO] 2021-04-28 19:31:10 > Step:   27100 Progress: 27.1% Elapsed: 7:21:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.19892 Generator_loss: 3.04297 
[INFO] 2021-04-28 19:32:38 > Step:   27200 Progress: 27.2% Elapsed: 7:22:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.09499 Generator_loss: 3.74788 
[INFO] 2021-04-28 19:34:06 > Step:   27300 Progress: 27.3% Elapsed: 7:24:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.4592 Generator_loss: 1.84543 
[INFO] 2021-04-28 19:35:33 > Step:   27400 Progress: 27.4% Elapsed: 7:25:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.09435 Generator_loss: 3.36991 
[INFO] 2021-04-28 19:37:01 > Step:   27500 Progress: 27.5% Elapsed: 7:27:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.10448 Generator_loss: 3.1688 
[INFO] 2021-04-28 19:38:28 > Step:   27600 Progress: 27.6% Elapsed: 7:28:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.49022 Generator_loss: 2.0054 
[INFO] 2021-04-28 19:39:56 > Step:   27700 Progress: 27.7% Elapsed: 7:30:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.96832 Generator_loss: 2.33883 
[INFO] 2021-04-28 19:41:24 > Step:   27800 Progress: 27.8% Elapsed: 7:31:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.14061 Generator_loss: 2.86858 
[INFO] 2021-04-28 19:42:52 > Step:   27900 Progress: 27.9% Elapsed: 7:33:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.89292 Generator_loss: 2.99703 
[INFO] 2021-04-28 19:44:19 > Step:   28000 Progress: 28.0% Elapsed: 7:34:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.1616 Generator_loss: 2.65597 
[INFO] 2021-04-28 19:44:19 > Start Evaluation (28000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 19:44:19 > Calculating FID Score....
[INFO] 2021-04-28 19:44:56 > Calculating Inception Score....
[INFO] 2021-04-28 19:45:13 > Calculate F_beta Score....
[INFO] 2021-04-28 19:46:15 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 19:46:16 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 19:46:16 > Calculate Accuracies....
[INFO] 2021-04-28 19:46:24 > Calculate Accuracies....
[INFO] 2021-04-28 19:46:26 > F_8 score (Step: 28000, Using test images): 0.9926643954300992
[INFO] 2021-04-28 19:46:26 > F_1/8 score (Step: 28000, Using test images): 0.9929333466950718
[INFO] 2021-04-28 19:46:26 > FID score (Step: 28000, Using test moments): 9.740582393767681
[INFO] 2021-04-28 19:46:26 > Inception score (Step: 28000, 10000 generated images): 9.694985389709473
[INFO] 2021-04-28 19:46:26 > Best FID score (Step: 28000, Using test moments): 9.740582393767681
[INFO] 2021-04-28 19:46:29 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 19:47:56 > Step:   28100 Progress: 28.1% Elapsed: 7:38:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.03935 Generator_loss: 3.04625 
[INFO] 2021-04-28 19:49:23 > Step:   28200 Progress: 28.2% Elapsed: 7:39:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.0695 Generator_loss: 2.85394 
[INFO] 2021-04-28 19:50:50 > Step:   28300 Progress: 28.3% Elapsed: 7:41:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.00608 Generator_loss: 3.25284 
[INFO] 2021-04-28 19:52:18 > Step:   28400 Progress: 28.4% Elapsed: 7:42:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.03974 Generator_loss: 2.96249 
[INFO] 2021-04-28 19:53:45 > Step:   28500 Progress: 28.5% Elapsed: 7:44:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.05901 Generator_loss: 2.56956 
[INFO] 2021-04-28 19:55:12 > Step:   28600 Progress: 28.6% Elapsed: 7:45:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.99028 Generator_loss: 3.33207 
[INFO] 2021-04-28 19:56:39 > Step:   28700 Progress: 28.7% Elapsed: 7:46:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.99327 Generator_loss: 2.54102 
[INFO] 2021-04-28 19:58:07 > Step:   28800 Progress: 28.8% Elapsed: 7:48:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.12109 Generator_loss: 3.23698 
[INFO] 2021-04-28 19:59:34 > Step:   28900 Progress: 28.9% Elapsed: 7:49:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.08774 Generator_loss: 3.22474 
[INFO] 2021-04-28 20:01:02 > Step:   29000 Progress: 29.0% Elapsed: 7:51:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.16502 Generator_loss: 3.30785 
[INFO] 2021-04-28 20:02:30 > Step:   29100 Progress: 29.1% Elapsed: 7:52:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.92247 Generator_loss: 2.70158 
[INFO] 2021-04-28 20:03:59 > Step:   29200 Progress: 29.2% Elapsed: 7:54:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.97496 Generator_loss: 2.59403 
[INFO] 2021-04-28 20:05:26 > Step:   29300 Progress: 29.3% Elapsed: 7:55:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.15189 Generator_loss: 2.57353 
[INFO] 2021-04-28 20:06:55 > Step:   29400 Progress: 29.4% Elapsed: 7:57:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.31045 Generator_loss: 3.61719 
[INFO] 2021-04-28 20:08:23 > Step:   29500 Progress: 29.5% Elapsed: 7:58:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.01247 Generator_loss: 3.13155 
[INFO] 2021-04-28 20:09:54 > Step:   29600 Progress: 29.6% Elapsed: 8:00:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.86955 Generator_loss: 2.69251 
[INFO] 2021-04-28 20:11:22 > Step:   29700 Progress: 29.7% Elapsed: 8:01:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.17254 Generator_loss: 2.95531 
[INFO] 2021-04-28 20:12:49 > Step:   29800 Progress: 29.8% Elapsed: 8:03:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.92347 Generator_loss: 2.7134 
[INFO] 2021-04-28 20:14:16 > Step:   29900 Progress: 29.9% Elapsed: 8:04:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.0698 Generator_loss: 3.13478 
[INFO] 2021-04-28 20:15:43 > Step:   30000 Progress: 30.0% Elapsed: 8:06:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.98203 Generator_loss: 2.93262 
[INFO] 2021-04-28 20:15:43 > Start Evaluation (30000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 20:15:43 > Calculating FID Score....
[INFO] 2021-04-28 20:16:18 > Calculating Inception Score....
[INFO] 2021-04-28 20:16:36 > Calculate F_beta Score....
[INFO] 2021-04-28 20:17:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 20:17:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 20:17:38 > Calculate Accuracies....
[INFO] 2021-04-28 20:17:46 > Calculate Accuracies....
[INFO] 2021-04-28 20:17:47 > F_8 score (Step: 30000, Using test images): 0.9877626955266575
[INFO] 2021-04-28 20:17:47 > F_1/8 score (Step: 30000, Using test images): 0.9929935309545848
[INFO] 2021-04-28 20:17:47 > FID score (Step: 30000, Using test moments): 9.300767088024145
[INFO] 2021-04-28 20:17:47 > Inception score (Step: 30000, 10000 generated images): 9.877289772033691
[INFO] 2021-04-28 20:17:47 > Best FID score (Step: 30000, Using test moments): 9.300767088024145
[INFO] 2021-04-28 20:17:50 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 20:19:18 > Step:   30100 Progress: 30.1% Elapsed: 8:09:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.98515 Generator_loss: 3.04179 
[INFO] 2021-04-28 20:20:46 > Step:   30200 Progress: 30.2% Elapsed: 8:11:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.96404 Generator_loss: 3.26718 
[INFO] 2021-04-28 20:22:13 > Step:   30300 Progress: 30.3% Elapsed: 8:12:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.14124 Generator_loss: 2.56715 
[INFO] 2021-04-28 20:23:40 > Step:   30400 Progress: 30.4% Elapsed: 8:13:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.97374 Generator_loss: 3.19471 
[INFO] 2021-04-28 20:25:08 > Step:   30500 Progress: 30.5% Elapsed: 8:15:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.94489 Generator_loss: 2.97828 
[INFO] 2021-04-28 20:26:36 > Step:   30600 Progress: 30.6% Elapsed: 8:16:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.97375 Generator_loss: 2.54292 
[INFO] 2021-04-28 20:28:03 > Step:   30700 Progress: 30.7% Elapsed: 8:18:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.96454 Generator_loss: 2.98754 
[INFO] 2021-04-28 20:29:30 > Step:   30800 Progress: 30.8% Elapsed: 8:19:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.2693 Generator_loss: 3.60114 
[INFO] 2021-04-28 20:30:58 > Step:   30900 Progress: 30.9% Elapsed: 8:21:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.87072 Generator_loss: 2.57782 
[INFO] 2021-04-28 20:32:25 > Step:   31000 Progress: 31.0% Elapsed: 8:22:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.02406 Generator_loss: 2.95633 
[INFO] 2021-04-28 20:33:52 > Step:   31100 Progress: 31.1% Elapsed: 8:24:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.04393 Generator_loss: 3.25008 
[INFO] 2021-04-28 20:35:19 > Step:   31200 Progress: 31.2% Elapsed: 8:25:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.08728 Generator_loss: 3.00829 
[INFO] 2021-04-28 20:36:47 > Step:   31300 Progress: 31.3% Elapsed: 8:27:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.0194 Generator_loss: 2.45427 
[INFO] 2021-04-28 20:38:13 > Step:   31400 Progress: 31.4% Elapsed: 8:28:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.9668 Generator_loss: 2.7306 
[INFO] 2021-04-28 20:39:40 > Step:   31500 Progress: 31.5% Elapsed: 8:29:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.88919 Generator_loss: 3.10454 
[INFO] 2021-04-28 20:41:08 > Step:   31600 Progress: 31.6% Elapsed: 8:31:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.93153 Generator_loss: 2.93636 
[INFO] 2021-04-28 20:42:35 > Step:   31700 Progress: 31.7% Elapsed: 8:32:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.20311 Generator_loss: 3.4881 
[INFO] 2021-04-28 20:44:01 > Step:   31800 Progress: 31.8% Elapsed: 8:34:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.98344 Generator_loss: 2.45576 
[INFO] 2021-04-28 20:45:28 > Step:   31900 Progress: 31.9% Elapsed: 8:35:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.001 Generator_loss: 3.09026 
[INFO] 2021-04-28 20:46:55 > Step:   32000 Progress: 32.0% Elapsed: 8:37:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.09381 Generator_loss: 2.73854 
[INFO] 2021-04-28 20:46:55 > Start Evaluation (32000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 20:46:55 > Calculating FID Score....
[INFO] 2021-04-28 20:47:31 > Calculating Inception Score....
[INFO] 2021-04-28 20:47:48 > Calculate F_beta Score....
[INFO] 2021-04-28 20:48:47 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 20:48:48 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 20:48:49 > Calculate Accuracies....
[INFO] 2021-04-28 20:48:56 > Calculate Accuracies....
[INFO] 2021-04-28 20:48:58 > F_8 score (Step: 32000, Using test images): 0.9887428617802683
[INFO] 2021-04-28 20:48:58 > F_1/8 score (Step: 32000, Using test images): 0.993067327778948
[INFO] 2021-04-28 20:48:58 > FID score (Step: 32000, Using test moments): 9.215266379399111
[INFO] 2021-04-28 20:48:58 > Inception score (Step: 32000, 10000 generated images): 9.863350868225098
[INFO] 2021-04-28 20:48:58 > Best FID score (Step: 32000, Using test moments): 9.215266379399111
[INFO] 2021-04-28 20:49:01 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 20:50:27 > Step:   32100 Progress: 32.1% Elapsed: 8:40:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.16165 Generator_loss: 2.95177 
[INFO] 2021-04-28 20:51:54 > Step:   32200 Progress: 32.2% Elapsed: 8:42:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.94072 Generator_loss: 3.09358 
[INFO] 2021-04-28 20:53:22 > Step:   32300 Progress: 32.3% Elapsed: 8:43:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.4233 Generator_loss: 2.0135 
[INFO] 2021-04-28 20:54:49 > Step:   32400 Progress: 32.4% Elapsed: 8:45:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.88934 Generator_loss: 3.02951 
[INFO] 2021-04-28 20:56:15 > Step:   32500 Progress: 32.5% Elapsed: 8:46:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.11166 Generator_loss: 2.65891 
[INFO] 2021-04-28 20:57:42 > Step:   32600 Progress: 32.6% Elapsed: 8:48:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.94287 Generator_loss: 2.42821 
[INFO] 2021-04-28 20:59:10 > Step:   32700 Progress: 32.7% Elapsed: 8:49:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.00636 Generator_loss: 2.0205 
[INFO] 2021-04-28 21:00:35 > Step:   32800 Progress: 32.8% Elapsed: 8:50:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.4687 Generator_loss: 2.36686 
[INFO] 2021-04-28 21:02:02 > Step:   32900 Progress: 32.9% Elapsed: 8:52:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.07669 Generator_loss: 2.46006 
[INFO] 2021-04-28 21:03:29 > Step:   33000 Progress: 33.0% Elapsed: 8:53:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.03408 Generator_loss: 3.01984 
[INFO] 2021-04-28 21:04:56 > Step:   33100 Progress: 33.1% Elapsed: 8:55:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.00217 Generator_loss: 2.47947 
[INFO] 2021-04-28 21:06:22 > Step:   33200 Progress: 33.2% Elapsed: 8:56:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.01257 Generator_loss: 2.76006 
[INFO] 2021-04-28 21:07:49 > Step:   33300 Progress: 33.3% Elapsed: 8:58:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.02798 Generator_loss: 2.63763 
[INFO] 2021-04-28 21:09:16 > Step:   33400 Progress: 33.4% Elapsed: 8:59:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.91064 Generator_loss: 2.9407 
[INFO] 2021-04-28 21:10:43 > Step:   33500 Progress: 33.5% Elapsed: 9:01:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.19058 Generator_loss: 3.17441 
[INFO] 2021-04-28 21:12:09 > Step:   33600 Progress: 33.6% Elapsed: 9:02:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.03419 Generator_loss: 2.86221 
[INFO] 2021-04-28 21:13:37 > Step:   33700 Progress: 33.7% Elapsed: 9:03:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.88279 Generator_loss: 2.8451 
[INFO] 2021-04-28 21:15:04 > Step:   33800 Progress: 33.8% Elapsed: 9:05:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.8712 Generator_loss: 2.4967 
[INFO] 2021-04-28 21:16:33 > Step:   33900 Progress: 33.9% Elapsed: 9:06:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.96263 Generator_loss: 2.95496 
[INFO] 2021-04-28 21:17:59 > Step:   34000 Progress: 34.0% Elapsed: 9:08:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.96528 Generator_loss: 2.64789 
[INFO] 2021-04-28 21:17:59 > Start Evaluation (34000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 21:17:59 > Calculating FID Score....
[INFO] 2021-04-28 21:18:34 > Calculating Inception Score....
[INFO] 2021-04-28 21:18:52 > Calculate F_beta Score....
[INFO] 2021-04-28 21:19:54 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 21:19:55 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 21:19:55 > Calculate Accuracies....
[INFO] 2021-04-28 21:20:03 > Calculate Accuracies....
[INFO] 2021-04-28 21:20:05 > F_8 score (Step: 34000, Using test images): 0.9897492363915931
[INFO] 2021-04-28 21:20:05 > F_1/8 score (Step: 34000, Using test images): 0.9927000444756818
[INFO] 2021-04-28 21:20:05 > FID score (Step: 34000, Using test moments): 8.998616350676286
[INFO] 2021-04-28 21:20:05 > Inception score (Step: 34000, 10000 generated images): 9.857398986816406
[INFO] 2021-04-28 21:20:05 > Best FID score (Step: 34000, Using test moments): 8.998616350676286
[INFO] 2021-04-28 21:20:08 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 21:21:35 > Step:   34100 Progress: 34.1% Elapsed: 9:11:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.17227 Generator_loss: 2.33175 
[INFO] 2021-04-28 21:23:02 > Step:   34200 Progress: 34.2% Elapsed: 9:13:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.326 Generator_loss: 3.81424 
[INFO] 2021-04-28 21:24:29 > Step:   34300 Progress: 34.3% Elapsed: 9:14:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.21108 Generator_loss: 2.39409 
[INFO] 2021-04-28 21:25:57 > Step:   34400 Progress: 34.4% Elapsed: 9:16:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.98772 Generator_loss: 3.08227 
[INFO] 2021-04-28 21:27:24 > Step:   34500 Progress: 34.5% Elapsed: 9:17:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.00142 Generator_loss: 2.92014 
[INFO] 2021-04-28 21:28:50 > Step:   34600 Progress: 34.6% Elapsed: 9:19:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.30106 Generator_loss: 2.06642 
[INFO] 2021-04-28 21:30:19 > Step:   34700 Progress: 34.7% Elapsed: 9:20:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.06146 Generator_loss: 2.62999 
[INFO] 2021-04-28 21:31:46 > Step:   34800 Progress: 34.8% Elapsed: 9:22:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.98166 Generator_loss: 2.72254 
[INFO] 2021-04-28 21:33:13 > Step:   34900 Progress: 34.9% Elapsed: 9:23:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.08346 Generator_loss: 3.44001 
[INFO] 2021-04-28 21:34:39 > Step:   35000 Progress: 35.0% Elapsed: 9:24:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.91628 Generator_loss: 3.02417 
[INFO] 2021-04-28 21:36:05 > Step:   35100 Progress: 35.1% Elapsed: 9:26:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.39038 Generator_loss: 3.23085 
[INFO] 2021-04-28 21:37:32 > Step:   35200 Progress: 35.2% Elapsed: 9:27:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.98776 Generator_loss: 3.21822 
[INFO] 2021-04-28 21:39:00 > Step:   35300 Progress: 35.3% Elapsed: 9:29:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.88785 Generator_loss: 2.6854 
[INFO] 2021-04-28 21:40:27 > Step:   35400 Progress: 35.4% Elapsed: 9:30:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.976 Generator_loss: 2.72216 
[INFO] 2021-04-28 21:41:55 > Step:   35500 Progress: 35.5% Elapsed: 9:32:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.9583 Generator_loss: 2.73805 
[INFO] 2021-04-28 21:43:21 > Step:   35600 Progress: 35.6% Elapsed: 9:33:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.03279 Generator_loss: 2.95524 
[INFO] 2021-04-28 21:44:48 > Step:   35700 Progress: 35.7% Elapsed: 9:35:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.00927 Generator_loss: 3.4623 
[INFO] 2021-04-28 21:46:14 > Step:   35800 Progress: 35.8% Elapsed: 9:36:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.09 Generator_loss: 3.53347 
[INFO] 2021-04-28 21:47:42 > Step:   35900 Progress: 35.9% Elapsed: 9:38:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.21108 Generator_loss: 3.56298 
[INFO] 2021-04-28 21:49:11 > Step:   36000 Progress: 36.0% Elapsed: 9:39:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.8859 Generator_loss: 2.57935 
[INFO] 2021-04-28 21:49:11 > Start Evaluation (36000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 21:49:11 > Calculating FID Score....
[INFO] 2021-04-28 21:49:47 > Calculating Inception Score....
[INFO] 2021-04-28 21:50:04 > Calculate F_beta Score....
[INFO] 2021-04-28 21:51:04 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 21:51:05 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 21:51:06 > Calculate Accuracies....
[INFO] 2021-04-28 21:51:13 > Calculate Accuracies....
[INFO] 2021-04-28 21:51:15 > F_8 score (Step: 36000, Using test images): 0.9901383191743498
[INFO] 2021-04-28 21:51:15 > F_1/8 score (Step: 36000, Using test images): 0.9941774655038199
[INFO] 2021-04-28 21:51:15 > FID score (Step: 36000, Using test moments): 8.731536194589978
[INFO] 2021-04-28 21:51:15 > Inception score (Step: 36000, 10000 generated images): 10.067641258239746
[INFO] 2021-04-28 21:51:15 > Best FID score (Step: 36000, Using test moments): 8.731536194589978
[INFO] 2021-04-28 21:51:18 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 21:52:45 > Step:   36100 Progress: 36.1% Elapsed: 9:43:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.93236 Generator_loss: 2.73672 
[INFO] 2021-04-28 21:54:12 > Step:   36200 Progress: 36.2% Elapsed: 9:44:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.92094 Generator_loss: 3.04968 
[INFO] 2021-04-28 21:55:38 > Step:   36300 Progress: 36.3% Elapsed: 9:45:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.97103 Generator_loss: 2.48483 
[INFO] 2021-04-28 21:57:04 > Step:   36400 Progress: 36.4% Elapsed: 9:47:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.24424 Generator_loss: 3.6892 
[INFO] 2021-04-28 21:58:30 > Step:   36500 Progress: 36.5% Elapsed: 9:48:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.02381 Generator_loss: 2.48045 
[INFO] 2021-04-28 21:59:58 > Step:   36600 Progress: 36.6% Elapsed: 9:50:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.07789 Generator_loss: 2.22836 
[INFO] 2021-04-28 22:01:24 > Step:   36700 Progress: 36.7% Elapsed: 9:51:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.04767 Generator_loss: 2.6997 
[INFO] 2021-04-28 22:02:51 > Step:   36800 Progress: 36.8% Elapsed: 9:53:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.02445 Generator_loss: 2.96715 
[INFO] 2021-04-28 22:04:18 > Step:   36900 Progress: 36.9% Elapsed: 9:54:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.91108 Generator_loss: 3.0919 
[INFO] 2021-04-28 22:05:44 > Step:   37000 Progress: 37.0% Elapsed: 9:56:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.89071 Generator_loss: 3.28611 
[INFO] 2021-04-28 22:07:11 > Step:   37100 Progress: 37.1% Elapsed: 9:57:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.0361 Generator_loss: 2.9231 
[INFO] 2021-04-28 22:08:37 > Step:   37200 Progress: 37.2% Elapsed: 9:58:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.98082 Generator_loss: 2.48482 
[INFO] 2021-04-28 22:10:04 > Step:   37300 Progress: 37.3% Elapsed: 10:00:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.1339 Generator_loss: 2.16007 
[INFO] 2021-04-28 22:11:29 > Step:   37400 Progress: 37.4% Elapsed: 10:01:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.00448 Generator_loss: 3.77831 
[INFO] 2021-04-28 22:12:56 > Step:   37500 Progress: 37.5% Elapsed: 10:03:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.03661 Generator_loss: 3.61847 
[INFO] 2021-04-28 22:14:23 > Step:   37600 Progress: 37.6% Elapsed: 10:04:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.92278 Generator_loss: 3.27736 
[INFO] 2021-04-28 22:15:49 > Step:   37700 Progress: 37.7% Elapsed: 10:06:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.13389 Generator_loss: 2.09738 
[INFO] 2021-04-28 22:17:17 > Step:   37800 Progress: 37.8% Elapsed: 10:07:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.08136 Generator_loss: 3.21247 
[INFO] 2021-04-28 22:18:43 > Step:   37900 Progress: 37.9% Elapsed: 10:09:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.1171 Generator_loss: 3.73373 
[INFO] 2021-04-28 22:20:13 > Step:   38000 Progress: 38.0% Elapsed: 10:10:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.9466 Generator_loss: 3.27657 
[INFO] 2021-04-28 22:20:13 > Start Evaluation (38000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 22:20:13 > Calculating FID Score....
[INFO] 2021-04-28 22:20:51 > Calculating Inception Score....
[INFO] 2021-04-28 22:21:08 > Calculate F_beta Score....
[INFO] 2021-04-28 22:22:09 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 22:22:09 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 22:22:10 > Calculate Accuracies....
[INFO] 2021-04-28 22:22:18 > Calculate Accuracies....
[INFO] 2021-04-28 22:22:19 > F_8 score (Step: 38000, Using test images): 0.9926964907780546
[INFO] 2021-04-28 22:22:19 > F_1/8 score (Step: 38000, Using test images): 0.9925615677398184
[INFO] 2021-04-28 22:22:19 > FID score (Step: 38000, Using test moments): 8.774771622669277
[INFO] 2021-04-28 22:22:19 > Inception score (Step: 38000, 10000 generated images): 9.933204650878906
[INFO] 2021-04-28 22:22:19 > Best FID score (Step: 36000, Using test moments): 8.731536194589978
[INFO] 2021-04-28 22:22:21 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 22:23:47 > Step:   38100 Progress: 38.1% Elapsed: 10:14:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.02518 Generator_loss: 2.71156 
[INFO] 2021-04-28 22:25:13 > Step:   38200 Progress: 38.2% Elapsed: 10:15:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.9616 Generator_loss: 2.43012 
[INFO] 2021-04-28 22:26:41 > Step:   38300 Progress: 38.3% Elapsed: 10:16:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.95485 Generator_loss: 3.12554 
[INFO] 2021-04-28 22:28:07 > Step:   38400 Progress: 38.4% Elapsed: 10:18:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.00096 Generator_loss: 3.28953 
[INFO] 2021-04-28 22:29:33 > Step:   38500 Progress: 38.5% Elapsed: 10:19:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.9849 Generator_loss: 3.40993 
[INFO] 2021-04-28 22:30:59 > Step:   38600 Progress: 38.6% Elapsed: 10:21:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.12519 Generator_loss: 2.63369 
[INFO] 2021-04-28 22:32:26 > Step:   38700 Progress: 38.7% Elapsed: 10:22:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.03519 Generator_loss: 2.45073 
[INFO] 2021-04-28 22:33:53 > Step:   38800 Progress: 38.8% Elapsed: 10:24:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.90511 Generator_loss: 3.35719 
[INFO] 2021-04-28 22:35:19 > Step:   38900 Progress: 38.9% Elapsed: 10:25:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.07598 Generator_loss: 3.04078 
[INFO] 2021-04-28 22:36:45 > Step:   39000 Progress: 39.0% Elapsed: 10:27:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.87154 Generator_loss: 2.50999 
[INFO] 2021-04-28 22:38:13 > Step:   39100 Progress: 39.1% Elapsed: 10:28:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.96658 Generator_loss: 3.28076 
[INFO] 2021-04-28 22:39:39 > Step:   39200 Progress: 39.2% Elapsed: 10:29:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.14884 Generator_loss: 2.53725 
[INFO] 2021-04-28 22:41:05 > Step:   39300 Progress: 39.3% Elapsed: 10:31:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.10974 Generator_loss: 2.94936 
[INFO] 2021-04-28 22:42:33 > Step:   39400 Progress: 39.4% Elapsed: 10:32:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.06083 Generator_loss: 2.06673 
[INFO] 2021-04-28 22:43:59 > Step:   39500 Progress: 39.5% Elapsed: 10:34:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.04999 Generator_loss: 1.89174 
[INFO] 2021-04-28 22:45:24 > Step:   39600 Progress: 39.6% Elapsed: 10:35:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.07584 Generator_loss: 2.36574 
[INFO] 2021-04-28 22:46:50 > Step:   39700 Progress: 39.7% Elapsed: 10:37:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.00475 Generator_loss: 3.3607 
[INFO] 2021-04-28 22:48:17 > Step:   39800 Progress: 39.8% Elapsed: 10:38:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.86658 Generator_loss: 3.12582 
[INFO] 2021-04-28 22:49:44 > Step:   39900 Progress: 39.9% Elapsed: 10:40:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.21711 Generator_loss: 1.99532 
[INFO] 2021-04-28 22:51:10 > Step:   40000 Progress: 40.0% Elapsed: 10:41:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.05551 Generator_loss: 2.42772 
[INFO] 2021-04-28 22:51:10 > Start Evaluation (40000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 22:51:10 > Calculating FID Score....
[INFO] 2021-04-28 22:51:45 > Calculating Inception Score....
[INFO] 2021-04-28 22:52:03 > Calculate F_beta Score....
[INFO] 2021-04-28 22:53:03 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 22:53:04 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 22:53:04 > Calculate Accuracies....
[INFO] 2021-04-28 22:53:12 > Calculate Accuracies....
[INFO] 2021-04-28 22:53:14 > F_8 score (Step: 40000, Using test images): 0.9920258122738593
[INFO] 2021-04-28 22:53:14 > F_1/8 score (Step: 40000, Using test images): 0.992561740919364
[INFO] 2021-04-28 22:53:14 > FID score (Step: 40000, Using test moments): 8.672960698286033
[INFO] 2021-04-28 22:53:14 > Inception score (Step: 40000, 10000 generated images): 9.916057586669922
[INFO] 2021-04-28 22:53:14 > Best FID score (Step: 40000, Using test moments): 8.672960698286033
[INFO] 2021-04-28 22:53:16 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 22:54:42 > Step:   40100 Progress: 40.1% Elapsed: 10:45:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.89519 Generator_loss: 2.74408 
[INFO] 2021-04-28 22:56:08 > Step:   40200 Progress: 40.2% Elapsed: 10:46:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.02567 Generator_loss: 2.53626 
[INFO] 2021-04-28 22:57:35 > Step:   40300 Progress: 40.3% Elapsed: 10:47:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.06796 Generator_loss: 3.27365 
[INFO] 2021-04-28 22:59:01 > Step:   40400 Progress: 40.4% Elapsed: 10:49:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.89733 Generator_loss: 2.89229 
[INFO] 2021-04-28 23:00:27 > Step:   40500 Progress: 40.5% Elapsed: 10:50:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.9154 Generator_loss: 3.15909 
[INFO] 2021-04-28 23:01:54 > Step:   40600 Progress: 40.6% Elapsed: 10:52:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.97797 Generator_loss: 3.03779 
[INFO] 2021-04-28 23:03:20 > Step:   40700 Progress: 40.7% Elapsed: 10:53:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.99641 Generator_loss: 3.63312 
[INFO] 2021-04-28 23:04:47 > Step:   40800 Progress: 40.8% Elapsed: 10:55:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.26938 Generator_loss: 3.25768 
[INFO] 2021-04-28 23:06:13 > Step:   40900 Progress: 40.9% Elapsed: 10:56:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.92322 Generator_loss: 3.03918 
[INFO] 2021-04-28 23:07:39 > Step:   41000 Progress: 41.0% Elapsed: 10:57:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.16383 Generator_loss: 2.21057 
[INFO] 2021-04-28 23:09:04 > Step:   41100 Progress: 41.1% Elapsed: 10:59:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.05745 Generator_loss: 3.16797 
[INFO] 2021-04-28 23:10:31 > Step:   41200 Progress: 41.2% Elapsed: 11:00:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.85008 Generator_loss: 2.65162 
[INFO] 2021-04-28 23:11:57 > Step:   41300 Progress: 41.3% Elapsed: 11:02:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.35755 Generator_loss: 3.10386 
[INFO] 2021-04-28 23:13:24 > Step:   41400 Progress: 41.4% Elapsed: 11:03:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.02297 Generator_loss: 3.08778 
[INFO] 2021-04-28 23:14:50 > Step:   41500 Progress: 41.5% Elapsed: 11:05:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.09696 Generator_loss: 3.15507 
[INFO] 2021-04-28 23:16:16 > Step:   41600 Progress: 41.6% Elapsed: 11:06:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.90576 Generator_loss: 2.80407 
[INFO] 2021-04-28 23:17:42 > Step:   41700 Progress: 41.7% Elapsed: 11:08:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.09977 Generator_loss: 3.50888 
[INFO] 2021-04-28 23:19:08 > Step:   41800 Progress: 41.8% Elapsed: 11:09:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.90797 Generator_loss: 3.19255 
[INFO] 2021-04-28 23:20:35 > Step:   41900 Progress: 41.9% Elapsed: 11:10:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.96733 Generator_loss: 3.05516 
[INFO] 2021-04-28 23:22:01 > Step:   42000 Progress: 42.0% Elapsed: 11:12:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.9567 Generator_loss: 2.70109 
[INFO] 2021-04-28 23:22:01 > Start Evaluation (42000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 23:22:01 > Calculating FID Score....
[INFO] 2021-04-28 23:22:37 > Calculating Inception Score....
[INFO] 2021-04-28 23:22:54 > Calculate F_beta Score....
[INFO] 2021-04-28 23:23:54 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 23:23:55 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 23:23:55 > Calculate Accuracies....
[INFO] 2021-04-28 23:24:03 > Calculate Accuracies....
[INFO] 2021-04-28 23:24:05 > F_8 score (Step: 42000, Using test images): 0.994043926154896
[INFO] 2021-04-28 23:24:05 > F_1/8 score (Step: 42000, Using test images): 0.9949195995282538
[INFO] 2021-04-28 23:24:05 > FID score (Step: 42000, Using test moments): 8.524727290395106
[INFO] 2021-04-28 23:24:05 > Inception score (Step: 42000, 10000 generated images): 9.92098331451416
[INFO] 2021-04-28 23:24:05 > Best FID score (Step: 42000, Using test moments): 8.524727290395106
[INFO] 2021-04-28 23:24:08 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 23:25:33 > Step:   42100 Progress: 42.1% Elapsed: 11:15:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.01956 Generator_loss: 3.18165 
[INFO] 2021-04-28 23:26:59 > Step:   42200 Progress: 42.2% Elapsed: 11:17:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.04779 Generator_loss: 3.16163 
[INFO] 2021-04-28 23:28:26 > Step:   42300 Progress: 42.3% Elapsed: 11:18:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.02509 Generator_loss: 2.60186 
[INFO] 2021-04-28 23:29:52 > Step:   42400 Progress: 42.4% Elapsed: 11:20:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.97458 Generator_loss: 3.2158 
[INFO] 2021-04-28 23:31:19 > Step:   42500 Progress: 42.5% Elapsed: 11:21:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.81837 Generator_loss: 2.90619 
[INFO] 2021-04-28 23:32:46 > Step:   42600 Progress: 42.6% Elapsed: 11:23:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.86641 Generator_loss: 3.14813 
[INFO] 2021-04-28 23:34:11 > Step:   42700 Progress: 42.7% Elapsed: 11:24:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.0583 Generator_loss: 2.40708 
[INFO] 2021-04-28 23:35:37 > Step:   42800 Progress: 42.8% Elapsed: 11:25:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.01621 Generator_loss: 2.48637 
[INFO] 2021-04-28 23:37:04 > Step:   42900 Progress: 42.9% Elapsed: 11:27:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.93867 Generator_loss: 3.28349 
[INFO] 2021-04-28 23:38:31 > Step:   43000 Progress: 43.0% Elapsed: 11:28:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.83743 Generator_loss: 3.29294 
[INFO] 2021-04-28 23:39:57 > Step:   43100 Progress: 43.1% Elapsed: 11:30:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.89929 Generator_loss: 3.18215 
[INFO] 2021-04-28 23:41:22 > Step:   43200 Progress: 43.2% Elapsed: 11:31:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.99434 Generator_loss: 2.50686 
[INFO] 2021-04-28 23:42:49 > Step:   43300 Progress: 43.3% Elapsed: 11:33:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.29226 Generator_loss: 3.74878 
[INFO] 2021-04-28 23:44:16 > Step:   43400 Progress: 43.4% Elapsed: 11:34:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.05025 Generator_loss: 3.12377 
[INFO] 2021-04-28 23:45:42 > Step:   43500 Progress: 43.5% Elapsed: 11:36:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.90443 Generator_loss: 3.01597 
[INFO] 2021-04-28 23:47:07 > Step:   43600 Progress: 43.6% Elapsed: 11:37:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.88645 Generator_loss: 3.41626 
[INFO] 2021-04-28 23:48:35 > Step:   43700 Progress: 43.7% Elapsed: 11:38:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.17349 Generator_loss: 3.27927 
[INFO] 2021-04-28 23:50:02 > Step:   43800 Progress: 43.8% Elapsed: 11:40:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.07715 Generator_loss: 2.50988 
[INFO] 2021-04-28 23:51:28 > Step:   43900 Progress: 43.9% Elapsed: 11:41:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.14104 Generator_loss: 2.06842 
[INFO] 2021-04-28 23:52:55 > Step:   44000 Progress: 44.0% Elapsed: 11:43:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.88416 Generator_loss: 2.79155 
[INFO] 2021-04-28 23:52:55 > Start Evaluation (44000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 23:52:55 > Calculating FID Score....
[INFO] 2021-04-28 23:53:31 > Calculating Inception Score....
[INFO] 2021-04-28 23:53:48 > Calculate F_beta Score....
[INFO] 2021-04-28 23:54:48 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-28 23:54:49 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-28 23:54:50 > Calculate Accuracies....
[INFO] 2021-04-28 23:54:57 > Calculate Accuracies....
[INFO] 2021-04-28 23:54:59 > F_8 score (Step: 44000, Using test images): 0.9927579902397662
[INFO] 2021-04-28 23:54:59 > F_1/8 score (Step: 44000, Using test images): 0.9952651681253423
[INFO] 2021-04-28 23:54:59 > FID score (Step: 44000, Using test moments): 8.400492820923262
[INFO] 2021-04-28 23:54:59 > Inception score (Step: 44000, 10000 generated images): 9.856935501098633
[INFO] 2021-04-28 23:54:59 > Best FID score (Step: 44000, Using test moments): 8.400492820923262
[INFO] 2021-04-28 23:55:02 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-28 23:56:27 > Step:   44100 Progress: 44.1% Elapsed: 11:46:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.16697 Generator_loss: 3.67349 
[INFO] 2021-04-28 23:57:53 > Step:   44200 Progress: 44.2% Elapsed: 11:48:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.19487 Generator_loss: 3.74941 
[INFO] 2021-04-28 23:59:19 > Step:   44300 Progress: 44.3% Elapsed: 11:49:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.87841 Generator_loss: 3.00908 
[INFO] 2021-04-29 00:00:45 > Step:   44400 Progress: 44.4% Elapsed: 11:51:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.89392 Generator_loss: 3.06304 
[INFO] 2021-04-29 00:02:11 > Step:   44500 Progress: 44.5% Elapsed: 11:52:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.91058 Generator_loss: 3.14365 
[INFO] 2021-04-29 00:03:37 > Step:   44600 Progress: 44.6% Elapsed: 11:53:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.0239 Generator_loss: 3.63907 
[INFO] 2021-04-29 00:05:03 > Step:   44700 Progress: 44.7% Elapsed: 11:55:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.85766 Generator_loss: 3.16415 
[INFO] 2021-04-29 00:06:30 > Step:   44800 Progress: 44.8% Elapsed: 11:56:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.91489 Generator_loss: 2.54524 
[INFO] 2021-04-29 00:07:56 > Step:   44900 Progress: 44.9% Elapsed: 11:58:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.85547 Generator_loss: 3.31942 
[INFO] 2021-04-29 00:09:22 > Step:   45000 Progress: 45.0% Elapsed: 11:59:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.94807 Generator_loss: 3.17454 
[INFO] 2021-04-29 00:10:49 > Step:   45100 Progress: 45.1% Elapsed: 12:01:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.11964 Generator_loss: 2.66676 
[INFO] 2021-04-29 00:12:14 > Step:   45200 Progress: 45.2% Elapsed: 12:02:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.90768 Generator_loss: 2.58589 
[INFO] 2021-04-29 00:13:40 > Step:   45300 Progress: 45.3% Elapsed: 12:03:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.88197 Generator_loss: 3.02185 
[INFO] 2021-04-29 00:15:06 > Step:   45400 Progress: 45.4% Elapsed: 12:05:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.99664 Generator_loss: 3.20634 
[INFO] 2021-04-29 00:16:32 > Step:   45500 Progress: 45.5% Elapsed: 12:06:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.92298 Generator_loss: 2.63102 
[INFO] 2021-04-29 00:17:59 > Step:   45600 Progress: 45.6% Elapsed: 12:08:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.9471 Generator_loss: 2.56928 
[INFO] 2021-04-29 00:19:25 > Step:   45700 Progress: 45.7% Elapsed: 12:09:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.03598 Generator_loss: 3.44287 
[INFO] 2021-04-29 00:20:51 > Step:   45800 Progress: 45.8% Elapsed: 12:11:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.85654 Generator_loss: 3.27972 
[INFO] 2021-04-29 00:22:17 > Step:   45900 Progress: 45.9% Elapsed: 12:12:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.00671 Generator_loss: 3.57044 
[INFO] 2021-04-29 00:23:42 > Step:   46000 Progress: 46.0% Elapsed: 12:14:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.07461 Generator_loss: 2.66006 
[INFO] 2021-04-29 00:23:42 > Start Evaluation (46000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 00:23:42 > Calculating FID Score....
[INFO] 2021-04-29 00:24:17 > Calculating Inception Score....
[INFO] 2021-04-29 00:24:34 > Calculate F_beta Score....
[INFO] 2021-04-29 00:25:34 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 00:25:35 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 00:25:36 > Calculate Accuracies....
[INFO] 2021-04-29 00:25:43 > Calculate Accuracies....
[INFO] 2021-04-29 00:25:45 > F_8 score (Step: 46000, Using test images): 0.9930492490753143
[INFO] 2021-04-29 00:25:45 > F_1/8 score (Step: 46000, Using test images): 0.9952210807887735
[INFO] 2021-04-29 00:25:45 > FID score (Step: 46000, Using test moments): 8.35779645496217
[INFO] 2021-04-29 00:25:45 > Inception score (Step: 46000, 10000 generated images): 9.932535171508789
[INFO] 2021-04-29 00:25:45 > Best FID score (Step: 46000, Using test moments): 8.35779645496217
[INFO] 2021-04-29 00:25:48 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 00:27:14 > Step:   46100 Progress: 46.1% Elapsed: 12:17:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.01766 Generator_loss: 1.98949 
[INFO] 2021-04-29 00:28:39 > Step:   46200 Progress: 46.2% Elapsed: 12:18:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.00214 Generator_loss: 2.4663 
[INFO] 2021-04-29 00:30:05 > Step:   46300 Progress: 46.3% Elapsed: 12:20:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.17826 Generator_loss: 2.17455 
[INFO] 2021-04-29 00:31:31 > Step:   46400 Progress: 46.4% Elapsed: 12:21:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.95948 Generator_loss: 2.10404 
[INFO] 2021-04-29 00:32:57 > Step:   46500 Progress: 46.5% Elapsed: 12:23:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.01775 Generator_loss: 2.52622 
[INFO] 2021-04-29 00:34:23 > Step:   46600 Progress: 46.6% Elapsed: 12:24:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.24797 Generator_loss: 3.0228 
[INFO] 2021-04-29 00:35:48 > Step:   46700 Progress: 46.7% Elapsed: 12:26:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.06143 Generator_loss: 3.32258 
[INFO] 2021-04-29 00:37:14 > Step:   46800 Progress: 46.8% Elapsed: 12:27:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.01028 Generator_loss: 3.06694 
[INFO] 2021-04-29 00:38:41 > Step:   46900 Progress: 46.9% Elapsed: 12:29:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.09121 Generator_loss: 3.24837 
[INFO] 2021-04-29 00:40:10 > Step:   47000 Progress: 47.0% Elapsed: 12:30:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.97143 Generator_loss: 2.4902 
[INFO] 2021-04-29 00:41:35 > Step:   47100 Progress: 47.1% Elapsed: 12:31:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.08477 Generator_loss: 2.6227 
[INFO] 2021-04-29 00:43:02 > Step:   47200 Progress: 47.2% Elapsed: 12:33:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.32372 Generator_loss: 3.69979 
[INFO] 2021-04-29 00:44:30 > Step:   47300 Progress: 47.3% Elapsed: 12:34:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.07313 Generator_loss: 1.77229 
[INFO] 2021-04-29 00:45:56 > Step:   47400 Progress: 47.4% Elapsed: 12:36:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.08302 Generator_loss: 3.55305 
[INFO] 2021-04-29 00:47:22 > Step:   47500 Progress: 47.5% Elapsed: 12:37:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.10467 Generator_loss: 2.32609 
[INFO] 2021-04-29 00:48:49 > Step:   47600 Progress: 47.6% Elapsed: 12:39:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.89299 Generator_loss: 2.15504 
[INFO] 2021-04-29 00:50:14 > Step:   47700 Progress: 47.7% Elapsed: 12:40:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.30807 Generator_loss: 3.0797 
[INFO] 2021-04-29 00:51:39 > Step:   47800 Progress: 47.8% Elapsed: 12:41:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.07222 Generator_loss: 2.66138 
[INFO] 2021-04-29 00:53:06 > Step:   47900 Progress: 47.9% Elapsed: 12:43:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.10572 Generator_loss: 3.86851 
[INFO] 2021-04-29 00:54:31 > Step:   48000 Progress: 48.0% Elapsed: 12:44:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.05998 Generator_loss: 3.43273 
[INFO] 2021-04-29 00:54:31 > Start Evaluation (48000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 00:54:31 > Calculating FID Score....
[INFO] 2021-04-29 00:55:07 > Calculating Inception Score....
[INFO] 2021-04-29 00:55:25 > Calculate F_beta Score....
[INFO] 2021-04-29 00:56:23 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 00:56:24 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 00:56:25 > Calculate Accuracies....
[INFO] 2021-04-29 00:56:32 > Calculate Accuracies....
[INFO] 2021-04-29 00:56:34 > F_8 score (Step: 48000, Using test images): 0.9924342740879984
[INFO] 2021-04-29 00:56:34 > F_1/8 score (Step: 48000, Using test images): 0.9940717584017833
[INFO] 2021-04-29 00:56:34 > FID score (Step: 48000, Using test moments): 8.359748774714205
[INFO] 2021-04-29 00:56:34 > Inception score (Step: 48000, 10000 generated images): 9.912308692932129
[INFO] 2021-04-29 00:56:34 > Best FID score (Step: 46000, Using test moments): 8.35779645496217
[INFO] 2021-04-29 00:56:35 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 00:58:01 > Step:   48100 Progress: 48.1% Elapsed: 12:48:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.91888 Generator_loss: 2.78383 
[INFO] 2021-04-29 00:59:26 > Step:   48200 Progress: 48.2% Elapsed: 12:49:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.98019 Generator_loss: 3.04676 
[INFO] 2021-04-29 01:00:53 > Step:   48300 Progress: 48.3% Elapsed: 12:51:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.89321 Generator_loss: 3.44206 
[INFO] 2021-04-29 01:02:18 > Step:   48400 Progress: 48.4% Elapsed: 12:52:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.08176 Generator_loss: 2.84895 
[INFO] 2021-04-29 01:03:44 > Step:   48500 Progress: 48.5% Elapsed: 12:54:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.00265 Generator_loss: 2.71109 
[INFO] 2021-04-29 01:05:10 > Step:   48600 Progress: 48.6% Elapsed: 12:55:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.92911 Generator_loss: 2.62282 
[INFO] 2021-04-29 01:06:35 > Step:   48700 Progress: 48.7% Elapsed: 12:56:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.85387 Generator_loss: 3.06397 
[INFO] 2021-04-29 01:08:01 > Step:   48800 Progress: 48.8% Elapsed: 12:58:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.26059 Generator_loss: 3.66986 
[INFO] 2021-04-29 01:09:27 > Step:   48900 Progress: 48.9% Elapsed: 12:59:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.98314 Generator_loss: 2.41129 
[INFO] 2021-04-29 01:10:53 > Step:   49000 Progress: 49.0% Elapsed: 13:01:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.97805 Generator_loss: 2.55919 
[INFO] 2021-04-29 01:12:19 > Step:   49100 Progress: 49.1% Elapsed: 13:02:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.03153 Generator_loss: 3.60368 
[INFO] 2021-04-29 01:13:45 > Step:   49200 Progress: 49.2% Elapsed: 13:04:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.98771 Generator_loss: 2.066 
[INFO] 2021-04-29 01:15:10 > Step:   49300 Progress: 49.3% Elapsed: 13:05:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.83658 Generator_loss: 2.87407 
[INFO] 2021-04-29 01:16:36 > Step:   49400 Progress: 49.4% Elapsed: 13:06:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.94398 Generator_loss: 3.36834 
[INFO] 2021-04-29 01:18:01 > Step:   49500 Progress: 49.5% Elapsed: 13:08:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.87969 Generator_loss: 2.80467 
[INFO] 2021-04-29 01:19:28 > Step:   49600 Progress: 49.6% Elapsed: 13:09:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.01757 Generator_loss: 2.18209 
[INFO] 2021-04-29 01:20:53 > Step:   49700 Progress: 49.7% Elapsed: 13:11:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.84473 Generator_loss: 2.94308 
[INFO] 2021-04-29 01:22:19 > Step:   49800 Progress: 49.8% Elapsed: 13:12:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.97116 Generator_loss: 2.40043 
[INFO] 2021-04-29 01:23:44 > Step:   49900 Progress: 49.9% Elapsed: 13:14:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.02512 Generator_loss: 3.51595 
[INFO] 2021-04-29 01:25:10 > Step:   50000 Progress: 50.0% Elapsed: 13:15:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.88643 Generator_loss: 3.39138 
[INFO] 2021-04-29 01:25:10 > Start Evaluation (50000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 01:25:10 > Calculating FID Score....
[INFO] 2021-04-29 01:25:45 > Calculating Inception Score....
[INFO] 2021-04-29 01:26:03 > Calculate F_beta Score....
[INFO] 2021-04-29 01:27:02 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 01:27:04 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 01:27:04 > Calculate Accuracies....
[INFO] 2021-04-29 01:27:11 > Calculate Accuracies....
[INFO] 2021-04-29 01:27:13 > F_8 score (Step: 50000, Using test images): 0.9939932163752246
[INFO] 2021-04-29 01:27:13 > F_1/8 score (Step: 50000, Using test images): 0.9953729469111664
[INFO] 2021-04-29 01:27:13 > FID score (Step: 50000, Using test moments): 8.35138624501002
[INFO] 2021-04-29 01:27:13 > Inception score (Step: 50000, 10000 generated images): 9.717277526855469
[INFO] 2021-04-29 01:27:13 > Best FID score (Step: 50000, Using test moments): 8.35138624501002
[INFO] 2021-04-29 01:27:16 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 01:28:41 > Step:   50100 Progress: 50.1% Elapsed: 13:19:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.08583 Generator_loss: 3.45678 
[INFO] 2021-04-29 01:30:06 > Step:   50200 Progress: 50.2% Elapsed: 13:20:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.86566 Generator_loss: 3.03878 
[INFO] 2021-04-29 01:31:31 > Step:   50300 Progress: 50.3% Elapsed: 13:21:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.83437 Generator_loss: 2.48157 
[INFO] 2021-04-29 01:32:56 > Step:   50400 Progress: 50.4% Elapsed: 13:23:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.84163 Generator_loss: 2.96791 
[INFO] 2021-04-29 01:34:22 > Step:   50500 Progress: 50.5% Elapsed: 13:24:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.95821 Generator_loss: 2.41621 
[INFO] 2021-04-29 01:35:47 > Step:   50600 Progress: 50.6% Elapsed: 13:26:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.16571 Generator_loss: 3.3682 
[INFO] 2021-04-29 01:37:12 > Step:   50700 Progress: 50.7% Elapsed: 13:27:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.98645 Generator_loss: 3.10701 
[INFO] 2021-04-29 01:38:38 > Step:   50800 Progress: 50.8% Elapsed: 13:28:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.92003 Generator_loss: 2.6844 
[INFO] 2021-04-29 01:40:03 > Step:   50900 Progress: 50.9% Elapsed: 13:30:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.9519 Generator_loss: 3.14412 
[INFO] 2021-04-29 01:41:29 > Step:   51000 Progress: 51.0% Elapsed: 13:31:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.05126 Generator_loss: 3.64763 
[INFO] 2021-04-29 01:42:56 > Step:   51100 Progress: 51.1% Elapsed: 13:33:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.13702 Generator_loss: 3.97241 
[INFO] 2021-04-29 01:44:21 > Step:   51200 Progress: 51.2% Elapsed: 13:34:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.9308 Generator_loss: 3.09865 
[INFO] 2021-04-29 01:45:47 > Step:   51300 Progress: 51.3% Elapsed: 13:36:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.94717 Generator_loss: 3.68594 
[INFO] 2021-04-29 01:47:14 > Step:   51400 Progress: 51.4% Elapsed: 13:37:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.8861 Generator_loss: 3.02139 
[INFO] 2021-04-29 01:48:40 > Step:   51500 Progress: 51.5% Elapsed: 13:38:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.92952 Generator_loss: 2.40034 
[INFO] 2021-04-29 01:50:05 > Step:   51600 Progress: 51.6% Elapsed: 13:40:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.90272 Generator_loss: 2.51779 
[INFO] 2021-04-29 01:51:30 > Step:   51700 Progress: 51.7% Elapsed: 13:41:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.03964 Generator_loss: 2.63551 
[INFO] 2021-04-29 01:52:57 > Step:   51800 Progress: 51.8% Elapsed: 13:43:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.11028 Generator_loss: 3.9405 
[INFO] 2021-04-29 01:54:21 > Step:   51900 Progress: 51.9% Elapsed: 13:44:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.86994 Generator_loss: 2.79981 
[INFO] 2021-04-29 01:55:46 > Step:   52000 Progress: 52.0% Elapsed: 13:46:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.08026 Generator_loss: 3.60693 
[INFO] 2021-04-29 01:55:46 > Start Evaluation (52000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 01:55:46 > Calculating FID Score....
[INFO] 2021-04-29 01:56:21 > Calculating Inception Score....
[INFO] 2021-04-29 01:56:39 > Calculate F_beta Score....
[INFO] 2021-04-29 01:57:35 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 01:57:36 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 01:57:36 > Calculate Accuracies....
[INFO] 2021-04-29 01:57:43 > Calculate Accuracies....
[INFO] 2021-04-29 01:57:45 > F_8 score (Step: 52000, Using test images): 0.9909564523761364
[INFO] 2021-04-29 01:57:45 > F_1/8 score (Step: 52000, Using test images): 0.9935882521707666
[INFO] 2021-04-29 01:57:45 > FID score (Step: 52000, Using test moments): 8.297504351064504
[INFO] 2021-04-29 01:57:45 > Inception score (Step: 52000, 10000 generated images): 9.81869888305664
[INFO] 2021-04-29 01:57:45 > Best FID score (Step: 52000, Using test moments): 8.297504351064504
[INFO] 2021-04-29 01:57:48 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 01:59:13 > Step:   52100 Progress: 52.1% Elapsed: 13:49:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.90385 Generator_loss: 2.91131 
[INFO] 2021-04-29 02:00:38 > Step:   52200 Progress: 52.2% Elapsed: 13:50:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.84033 Generator_loss: 3.10548 
[INFO] 2021-04-29 02:02:03 > Step:   52300 Progress: 52.3% Elapsed: 13:52:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.90064 Generator_loss: 2.75807 
[INFO] 2021-04-29 02:03:29 > Step:   52400 Progress: 52.4% Elapsed: 13:53:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.93134 Generator_loss: 3.29296 
[INFO] 2021-04-29 02:04:55 > Step:   52500 Progress: 52.5% Elapsed: 13:55:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.84472 Generator_loss: 3.35418 
[INFO] 2021-04-29 02:06:21 > Step:   52600 Progress: 52.6% Elapsed: 13:56:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.04399 Generator_loss: 3.18261 
[INFO] 2021-04-29 02:07:45 > Step:   52700 Progress: 52.7% Elapsed: 13:58:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.03428 Generator_loss: 3.55634 
[INFO] 2021-04-29 02:09:11 > Step:   52800 Progress: 52.8% Elapsed: 13:59:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.86144 Generator_loss: 3.32069 
[INFO] 2021-04-29 02:10:37 > Step:   52900 Progress: 52.9% Elapsed: 14:00:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.88879 Generator_loss: 2.68065 
[INFO] 2021-04-29 02:12:02 > Step:   53000 Progress: 53.0% Elapsed: 14:02:21 temperature: 0.5 ada_p: No Discriminator_loss: 1.93328 Generator_loss: 3.36626 
[INFO] 2021-04-29 02:13:27 > Step:   53100 Progress: 53.1% Elapsed: 14:03:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.9608 Generator_loss: 2.30068 
[INFO] 2021-04-29 02:14:54 > Step:   53200 Progress: 53.2% Elapsed: 14:05:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.77513 Generator_loss: 3.2722 
[INFO] 2021-04-29 02:16:21 > Step:   53300 Progress: 53.3% Elapsed: 14:06:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.99771 Generator_loss: 2.36755 
[INFO] 2021-04-29 02:17:46 > Step:   53400 Progress: 53.4% Elapsed: 14:08:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.14169 Generator_loss: 2.4257 
[INFO] 2021-04-29 02:19:11 > Step:   53500 Progress: 53.5% Elapsed: 14:09:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.96515 Generator_loss: 2.92224 
[INFO] 2021-04-29 02:20:36 > Step:   53600 Progress: 53.6% Elapsed: 14:10:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.93288 Generator_loss: 2.58141 
[INFO] 2021-04-29 02:22:01 > Step:   53700 Progress: 53.7% Elapsed: 14:12:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.85348 Generator_loss: 2.56839 
[INFO] 2021-04-29 02:23:25 > Step:   53800 Progress: 53.8% Elapsed: 14:13:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.90785 Generator_loss: 2.81158 
[INFO] 2021-04-29 02:24:50 > Step:   53900 Progress: 53.9% Elapsed: 14:15:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.04096 Generator_loss: 2.50829 
[INFO] 2021-04-29 02:26:15 > Step:   54000 Progress: 54.0% Elapsed: 14:16:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.98675 Generator_loss: 2.85622 
[INFO] 2021-04-29 02:26:15 > Start Evaluation (54000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 02:26:15 > Calculating FID Score....
[INFO] 2021-04-29 02:26:49 > Calculating Inception Score....
[INFO] 2021-04-29 02:27:07 > Calculate F_beta Score....
[INFO] 2021-04-29 02:28:04 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 02:28:05 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 02:28:06 > Calculate Accuracies....
[INFO] 2021-04-29 02:28:12 > Calculate Accuracies....
[INFO] 2021-04-29 02:28:14 > F_8 score (Step: 54000, Using test images): 0.9894264199398263
[INFO] 2021-04-29 02:28:14 > F_1/8 score (Step: 54000, Using test images): 0.9942683222166546
[INFO] 2021-04-29 02:28:14 > FID score (Step: 54000, Using test moments): 8.211100175499382
[INFO] 2021-04-29 02:28:14 > Inception score (Step: 54000, 10000 generated images): 9.849404335021973
[INFO] 2021-04-29 02:28:14 > Best FID score (Step: 54000, Using test moments): 8.211100175499382
[INFO] 2021-04-29 02:28:17 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 02:29:41 > Step:   54100 Progress: 54.1% Elapsed: 14:19:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.00721 Generator_loss: 3.08003 
[INFO] 2021-04-29 02:31:04 > Step:   54200 Progress: 54.2% Elapsed: 14:21:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.04431 Generator_loss: 3.24204 
[INFO] 2021-04-29 02:32:29 > Step:   54300 Progress: 54.3% Elapsed: 14:22:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.0207 Generator_loss: 2.41594 
[INFO] 2021-04-29 02:33:52 > Step:   54400 Progress: 54.4% Elapsed: 14:24:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.87061 Generator_loss: 3.24298 
[INFO] 2021-04-29 02:35:16 > Step:   54500 Progress: 54.5% Elapsed: 14:25:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.86335 Generator_loss: 2.7987 
[INFO] 2021-04-29 02:36:41 > Step:   54600 Progress: 54.6% Elapsed: 14:26:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.9517 Generator_loss: 2.48922 
[INFO] 2021-04-29 02:38:06 > Step:   54700 Progress: 54.7% Elapsed: 14:28:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.96242 Generator_loss: 2.74561 
[INFO] 2021-04-29 02:39:30 > Step:   54800 Progress: 54.8% Elapsed: 14:29:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.0456 Generator_loss: 3.4773 
[INFO] 2021-04-29 02:40:54 > Step:   54900 Progress: 54.9% Elapsed: 14:31:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.97064 Generator_loss: 3.08118 
[INFO] 2021-04-29 02:42:19 > Step:   55000 Progress: 55.0% Elapsed: 14:32:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.98225 Generator_loss: 2.75813 
[INFO] 2021-04-29 02:43:43 > Step:   55100 Progress: 55.1% Elapsed: 14:34:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.87064 Generator_loss: 2.48029 
[INFO] 2021-04-29 02:45:07 > Step:   55200 Progress: 55.2% Elapsed: 14:35:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.97478 Generator_loss: 3.02063 
[INFO] 2021-04-29 02:46:31 > Step:   55300 Progress: 55.3% Elapsed: 14:36:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.84866 Generator_loss: 3.06081 
[INFO] 2021-04-29 02:47:55 > Step:   55400 Progress: 55.4% Elapsed: 14:38:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.9114 Generator_loss: 3.04947 
[INFO] 2021-04-29 02:49:18 > Step:   55500 Progress: 55.5% Elapsed: 14:39:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.86277 Generator_loss: 3.14362 
[INFO] 2021-04-29 02:50:42 > Step:   55600 Progress: 55.6% Elapsed: 14:41:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.70056 Generator_loss: 3.62714 
[INFO] 2021-04-29 02:52:06 > Step:   55700 Progress: 55.7% Elapsed: 14:42:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.88713 Generator_loss: 3.15584 
[INFO] 2021-04-29 02:53:30 > Step:   55800 Progress: 55.8% Elapsed: 14:43:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.90135 Generator_loss: 2.47108 
[INFO] 2021-04-29 02:54:54 > Step:   55900 Progress: 55.9% Elapsed: 14:45:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.8811 Generator_loss: 2.62748 
[INFO] 2021-04-29 02:56:18 > Step:   56000 Progress: 56.0% Elapsed: 14:46:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.83349 Generator_loss: 2.6529 
[INFO] 2021-04-29 02:56:18 > Start Evaluation (56000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 02:56:18 > Calculating FID Score....
[INFO] 2021-04-29 02:56:51 > Calculating Inception Score....
[INFO] 2021-04-29 02:57:09 > Calculate F_beta Score....
[INFO] 2021-04-29 02:58:06 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 02:58:06 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 02:58:07 > Calculate Accuracies....
[INFO] 2021-04-29 02:58:14 > Calculate Accuracies....
[INFO] 2021-04-29 02:58:15 > F_8 score (Step: 56000, Using test images): 0.9943376381505844
[INFO] 2021-04-29 02:58:15 > F_1/8 score (Step: 56000, Using test images): 0.9951878045110691
[INFO] 2021-04-29 02:58:15 > FID score (Step: 56000, Using test moments): 8.210464108702013
[INFO] 2021-04-29 02:58:15 > Inception score (Step: 56000, 10000 generated images): 9.924652099609375
[INFO] 2021-04-29 02:58:15 > Best FID score (Step: 56000, Using test moments): 8.210464108702013
[INFO] 2021-04-29 02:58:19 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 02:59:43 > Step:   56100 Progress: 56.1% Elapsed: 14:50:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.93451 Generator_loss: 2.65525 
[INFO] 2021-04-29 03:01:08 > Step:   56200 Progress: 56.2% Elapsed: 14:51:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.03137 Generator_loss: 2.6218 
[INFO] 2021-04-29 03:02:32 > Step:   56300 Progress: 56.3% Elapsed: 14:52:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.93937 Generator_loss: 3.05718 
[INFO] 2021-04-29 03:03:56 > Step:   56400 Progress: 56.4% Elapsed: 14:54:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.94597 Generator_loss: 2.55772 
[INFO] 2021-04-29 03:05:21 > Step:   56500 Progress: 56.5% Elapsed: 14:55:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.95926 Generator_loss: 3.09025 
[INFO] 2021-04-29 03:06:45 > Step:   56600 Progress: 56.6% Elapsed: 14:57:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.86446 Generator_loss: 3.07904 
[INFO] 2021-04-29 03:08:08 > Step:   56700 Progress: 56.7% Elapsed: 14:58:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.95678 Generator_loss: 3.20211 
[INFO] 2021-04-29 03:09:33 > Step:   56800 Progress: 56.8% Elapsed: 14:59:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.95095 Generator_loss: 3.58594 
[INFO] 2021-04-29 03:10:56 > Step:   56900 Progress: 56.9% Elapsed: 15:01:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.82179 Generator_loss: 3.18775 
[INFO] 2021-04-29 03:12:20 > Step:   57000 Progress: 57.0% Elapsed: 15:02:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.00885 Generator_loss: 3.02564 
[INFO] 2021-04-29 03:13:44 > Step:   57100 Progress: 57.1% Elapsed: 15:04:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.96067 Generator_loss: 3.09651 
[INFO] 2021-04-29 03:15:10 > Step:   57200 Progress: 57.2% Elapsed: 15:05:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.99934 Generator_loss: 2.32857 
[INFO] 2021-04-29 03:16:34 > Step:   57300 Progress: 57.3% Elapsed: 15:06:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.99334 Generator_loss: 3.28032 
[INFO] 2021-04-29 03:17:57 > Step:   57400 Progress: 57.4% Elapsed: 15:08:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.90552 Generator_loss: 2.77293 
[INFO] 2021-04-29 03:19:22 > Step:   57500 Progress: 57.5% Elapsed: 15:09:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.92071 Generator_loss: 2.21427 
[INFO] 2021-04-29 03:20:47 > Step:   57600 Progress: 57.6% Elapsed: 15:11:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.86731 Generator_loss: 3.02647 
[INFO] 2021-04-29 03:22:11 > Step:   57700 Progress: 57.7% Elapsed: 15:12:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.90159 Generator_loss: 2.9612 
[INFO] 2021-04-29 03:23:37 > Step:   57800 Progress: 57.8% Elapsed: 15:13:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.09157 Generator_loss: 2.9398 
[INFO] 2021-04-29 03:25:01 > Step:   57900 Progress: 57.9% Elapsed: 15:15:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.93202 Generator_loss: 3.52755 
[INFO] 2021-04-29 03:26:24 > Step:   58000 Progress: 58.0% Elapsed: 15:16:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.03631 Generator_loss: 2.76778 
[INFO] 2021-04-29 03:26:24 > Start Evaluation (58000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 03:26:24 > Calculating FID Score....
[INFO] 2021-04-29 03:26:58 > Calculating Inception Score....
[INFO] 2021-04-29 03:27:15 > Calculate F_beta Score....
[INFO] 2021-04-29 03:28:10 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 03:28:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 03:28:11 > Calculate Accuracies....
[INFO] 2021-04-29 03:28:18 > Calculate Accuracies....
[INFO] 2021-04-29 03:28:20 > F_8 score (Step: 58000, Using test images): 0.9904796570292408
[INFO] 2021-04-29 03:28:20 > F_1/8 score (Step: 58000, Using test images): 0.9954478059744541
[INFO] 2021-04-29 03:28:20 > FID score (Step: 58000, Using test moments): 8.160772473187933
[INFO] 2021-04-29 03:28:20 > Inception score (Step: 58000, 10000 generated images): 9.865240097045898
[INFO] 2021-04-29 03:28:20 > Best FID score (Step: 58000, Using test moments): 8.160772473187933
[INFO] 2021-04-29 03:28:23 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 03:29:47 > Step:   58100 Progress: 58.1% Elapsed: 15:20:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.97694 Generator_loss: 3.17362 
[INFO] 2021-04-29 03:31:11 > Step:   58200 Progress: 58.2% Elapsed: 15:21:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.94599 Generator_loss: 3.29068 
[INFO] 2021-04-29 03:32:35 > Step:   58300 Progress: 58.3% Elapsed: 15:22:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.9571 Generator_loss: 2.53928 
[INFO] 2021-04-29 03:33:59 > Step:   58400 Progress: 58.4% Elapsed: 15:24:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.03856 Generator_loss: 2.72807 
[INFO] 2021-04-29 03:35:22 > Step:   58500 Progress: 58.5% Elapsed: 15:25:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.82659 Generator_loss: 2.76049 
[INFO] 2021-04-29 03:36:47 > Step:   58600 Progress: 58.6% Elapsed: 15:27:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.83309 Generator_loss: 2.83332 
[INFO] 2021-04-29 03:38:09 > Step:   58700 Progress: 58.7% Elapsed: 15:28:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.02833 Generator_loss: 3.15983 
[INFO] 2021-04-29 03:39:34 > Step:   58800 Progress: 58.8% Elapsed: 15:29:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.8761 Generator_loss: 3.29398 
[INFO] 2021-04-29 03:40:59 > Step:   58900 Progress: 58.9% Elapsed: 15:31:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.91804 Generator_loss: 2.82459 
[INFO] 2021-04-29 03:42:23 > Step:   59000 Progress: 59.0% Elapsed: 15:32:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.85533 Generator_loss: 2.94899 
[INFO] 2021-04-29 03:43:46 > Step:   59100 Progress: 59.1% Elapsed: 15:34:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.0272 Generator_loss: 2.61742 
[INFO] 2021-04-29 03:45:11 > Step:   59200 Progress: 59.2% Elapsed: 15:35:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.86692 Generator_loss: 3.00056 
[INFO] 2021-04-29 03:46:35 > Step:   59300 Progress: 59.3% Elapsed: 15:36:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.90359 Generator_loss: 2.81505 
[INFO] 2021-04-29 03:47:59 > Step:   59400 Progress: 59.4% Elapsed: 15:38:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.92901 Generator_loss: 2.6936 
[INFO] 2021-04-29 03:49:22 > Step:   59500 Progress: 59.5% Elapsed: 15:39:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.95502 Generator_loss: 2.79569 
[INFO] 2021-04-29 03:50:46 > Step:   59600 Progress: 59.6% Elapsed: 15:41:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.98088 Generator_loss: 2.88411 
[INFO] 2021-04-29 03:52:10 > Step:   59700 Progress: 59.7% Elapsed: 15:42:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.95299 Generator_loss: 2.44397 
[INFO] 2021-04-29 03:53:35 > Step:   59800 Progress: 59.8% Elapsed: 15:43:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.03107 Generator_loss: 3.22265 
[INFO] 2021-04-29 03:54:59 > Step:   59900 Progress: 59.9% Elapsed: 15:45:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.08482 Generator_loss: 2.29595 
[INFO] 2021-04-29 03:56:24 > Step:   60000 Progress: 60.0% Elapsed: 15:46:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.96154 Generator_loss: 2.84887 
[INFO] 2021-04-29 03:56:24 > Start Evaluation (60000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 03:56:24 > Calculating FID Score....
[INFO] 2021-04-29 03:56:57 > Calculating Inception Score....
[INFO] 2021-04-29 03:57:14 > Calculate F_beta Score....
[INFO] 2021-04-29 03:58:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 03:58:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 03:58:12 > Calculate Accuracies....
[INFO] 2021-04-29 03:58:19 > Calculate Accuracies....
[INFO] 2021-04-29 03:58:21 > F_8 score (Step: 60000, Using test images): 0.9944970643647878
[INFO] 2021-04-29 03:58:21 > F_1/8 score (Step: 60000, Using test images): 0.9940239022372351
[INFO] 2021-04-29 03:58:21 > FID score (Step: 60000, Using test moments): 8.027945599817713
[INFO] 2021-04-29 03:58:21 > Inception score (Step: 60000, 10000 generated images): 9.911733627319336
[INFO] 2021-04-29 03:58:21 > Best FID score (Step: 60000, Using test moments): 8.027945599817713
[INFO] 2021-04-29 03:58:24 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 03:59:46 > Step:   60100 Progress: 60.1% Elapsed: 15:50:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.94942 Generator_loss: 2.44759 
[INFO] 2021-04-29 04:01:10 > Step:   60200 Progress: 60.2% Elapsed: 15:51:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.99511 Generator_loss: 2.61367 
[INFO] 2021-04-29 04:02:35 > Step:   60300 Progress: 60.3% Elapsed: 15:52:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.95811 Generator_loss: 3.1424 
[INFO] 2021-04-29 04:04:00 > Step:   60400 Progress: 60.4% Elapsed: 15:54:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.88489 Generator_loss: 3.3195 
[INFO] 2021-04-29 04:05:23 > Step:   60500 Progress: 60.5% Elapsed: 15:55:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.90485 Generator_loss: 3.57947 
[INFO] 2021-04-29 04:06:47 > Step:   60600 Progress: 60.6% Elapsed: 15:57:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.87743 Generator_loss: 2.98355 
[INFO] 2021-04-29 04:08:12 > Step:   60700 Progress: 60.7% Elapsed: 15:58:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.89647 Generator_loss: 2.96758 
[INFO] 2021-04-29 04:09:35 > Step:   60800 Progress: 60.8% Elapsed: 15:59:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.00609 Generator_loss: 3.26647 
[INFO] 2021-04-29 04:10:59 > Step:   60900 Progress: 60.9% Elapsed: 16:01:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.9201 Generator_loss: 2.70368 
[INFO] 2021-04-29 04:12:23 > Step:   61000 Progress: 61.0% Elapsed: 16:02:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.82745 Generator_loss: 2.98137 
[INFO] 2021-04-29 04:13:47 > Step:   61100 Progress: 61.1% Elapsed: 16:04:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.46454 Generator_loss: 1.67438 
[INFO] 2021-04-29 04:15:11 > Step:   61200 Progress: 61.2% Elapsed: 16:05:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.1112 Generator_loss: 3.51904 
[INFO] 2021-04-29 04:16:34 > Step:   61300 Progress: 61.3% Elapsed: 16:06:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.1169 Generator_loss: 3.26753 
[INFO] 2021-04-29 04:17:59 > Step:   61400 Progress: 61.4% Elapsed: 16:08:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.97359 Generator_loss: 3.42066 
[INFO] 2021-04-29 04:19:22 > Step:   61500 Progress: 61.5% Elapsed: 16:09:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.83225 Generator_loss: 2.3641 
[INFO] 2021-04-29 04:20:46 > Step:   61600 Progress: 61.6% Elapsed: 16:11:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.90604 Generator_loss: 2.75551 
[INFO] 2021-04-29 04:22:10 > Step:   61700 Progress: 61.7% Elapsed: 16:12:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.93553 Generator_loss: 2.68345 
[INFO] 2021-04-29 04:23:34 > Step:   61800 Progress: 61.8% Elapsed: 16:13:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.91309 Generator_loss: 3.32898 
[INFO] 2021-04-29 04:24:57 > Step:   61900 Progress: 61.9% Elapsed: 16:15:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.92337 Generator_loss: 3.19994 
[INFO] 2021-04-29 04:26:21 > Step:   62000 Progress: 62.0% Elapsed: 16:16:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.90565 Generator_loss: 2.86291 
[INFO] 2021-04-29 04:26:21 > Start Evaluation (62000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 04:26:21 > Calculating FID Score....
[INFO] 2021-04-29 04:26:54 > Calculating Inception Score....
[INFO] 2021-04-29 04:27:11 > Calculate F_beta Score....
[INFO] 2021-04-29 04:28:07 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 04:28:07 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 04:28:08 > Calculate Accuracies....
[INFO] 2021-04-29 04:28:15 > Calculate Accuracies....
[INFO] 2021-04-29 04:28:17 > F_8 score (Step: 62000, Using test images): 0.9914412353377187
[INFO] 2021-04-29 04:28:17 > F_1/8 score (Step: 62000, Using test images): 0.9940216021426986
[INFO] 2021-04-29 04:28:17 > FID score (Step: 62000, Using test moments): 7.997217026278236
[INFO] 2021-04-29 04:28:17 > Inception score (Step: 62000, 10000 generated images): 9.869405746459961
[INFO] 2021-04-29 04:28:17 > Best FID score (Step: 62000, Using test moments): 7.997217026278236
[INFO] 2021-04-29 04:28:19 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 04:29:44 > Step:   62100 Progress: 62.1% Elapsed: 16:20:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.98103 Generator_loss: 2.36222 
[INFO] 2021-04-29 04:31:09 > Step:   62200 Progress: 62.2% Elapsed: 16:21:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.80475 Generator_loss: 3.31552 
[INFO] 2021-04-29 04:32:32 > Step:   62300 Progress: 62.3% Elapsed: 16:22:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.84977 Generator_loss: 2.89097 
[INFO] 2021-04-29 04:33:55 > Step:   62400 Progress: 62.4% Elapsed: 16:24:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.00508 Generator_loss: 3.50094 
[INFO] 2021-04-29 04:35:20 > Step:   62500 Progress: 62.5% Elapsed: 16:25:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.20007 Generator_loss: 2.35136 
[INFO] 2021-04-29 04:36:43 > Step:   62600 Progress: 62.6% Elapsed: 16:27:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.94965 Generator_loss: 3.02131 
[INFO] 2021-04-29 04:38:07 > Step:   62700 Progress: 62.7% Elapsed: 16:28:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.89454 Generator_loss: 2.49033 
[INFO] 2021-04-29 04:39:32 > Step:   62800 Progress: 62.8% Elapsed: 16:29:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.83059 Generator_loss: 3.20603 
[INFO] 2021-04-29 04:40:56 > Step:   62900 Progress: 62.9% Elapsed: 16:31:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.88172 Generator_loss: 2.93858 
[INFO] 2021-04-29 04:42:27 > Step:   63000 Progress: 63.0% Elapsed: 16:32:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.91314 Generator_loss: 3.77561 
[INFO] 2021-04-29 04:43:50 > Step:   63100 Progress: 63.1% Elapsed: 16:34:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.87871 Generator_loss: 3.65284 
[INFO] 2021-04-29 04:45:14 > Step:   63200 Progress: 63.2% Elapsed: 16:35:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.871 Generator_loss: 3.5883 
[INFO] 2021-04-29 04:46:38 > Step:   63300 Progress: 63.3% Elapsed: 16:36:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.88198 Generator_loss: 3.2308 
[INFO] 2021-04-29 04:48:02 > Step:   63400 Progress: 63.4% Elapsed: 16:38:21 temperature: 0.5 ada_p: No Discriminator_loss: 1.87308 Generator_loss: 3.1999 
[INFO] 2021-04-29 04:49:26 > Step:   63500 Progress: 63.5% Elapsed: 16:39:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.89084 Generator_loss: 2.62132 
[INFO] 2021-04-29 04:50:49 > Step:   63600 Progress: 63.6% Elapsed: 16:41:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.90519 Generator_loss: 2.66723 
[INFO] 2021-04-29 04:52:14 > Step:   63700 Progress: 63.7% Elapsed: 16:42:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.93049 Generator_loss: 3.39303 
[INFO] 2021-04-29 04:53:37 > Step:   63800 Progress: 63.8% Elapsed: 16:43:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.90509 Generator_loss: 2.85205 
[INFO] 2021-04-29 04:55:02 > Step:   63900 Progress: 63.9% Elapsed: 16:45:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.13949 Generator_loss: 1.74401 
[INFO] 2021-04-29 04:56:25 > Step:   64000 Progress: 64.0% Elapsed: 16:46:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.81615 Generator_loss: 3.44892 
[INFO] 2021-04-29 04:56:25 > Start Evaluation (64000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 04:56:25 > Calculating FID Score....
[INFO] 2021-04-29 04:56:59 > Calculating Inception Score....
[INFO] 2021-04-29 04:57:16 > Calculate F_beta Score....
[INFO] 2021-04-29 04:58:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 04:58:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 04:58:12 > Calculate Accuracies....
[INFO] 2021-04-29 04:58:19 > Calculate Accuracies....
[INFO] 2021-04-29 04:58:21 > F_8 score (Step: 64000, Using test images): 0.9941428098834015
[INFO] 2021-04-29 04:58:21 > F_1/8 score (Step: 64000, Using test images): 0.9956547772430525
[INFO] 2021-04-29 04:58:21 > FID score (Step: 64000, Using test moments): 7.916400876708053
[INFO] 2021-04-29 04:58:21 > Inception score (Step: 64000, 10000 generated images): 9.847259521484375
[INFO] 2021-04-29 04:58:21 > Best FID score (Step: 64000, Using test moments): 7.916400876708053
[INFO] 2021-04-29 04:58:23 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 04:59:47 > Step:   64100 Progress: 64.1% Elapsed: 16:50:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.92475 Generator_loss: 2.92051 
[INFO] 2021-04-29 05:01:11 > Step:   64200 Progress: 64.2% Elapsed: 16:51:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.07378 Generator_loss: 2.89252 
[INFO] 2021-04-29 05:02:35 > Step:   64300 Progress: 64.3% Elapsed: 16:52:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.75711 Generator_loss: 2.81238 
[INFO] 2021-04-29 05:03:58 > Step:   64400 Progress: 64.4% Elapsed: 16:54:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.78604 Generator_loss: 2.99947 
[INFO] 2021-04-29 05:05:22 > Step:   64500 Progress: 64.5% Elapsed: 16:55:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.90688 Generator_loss: 3.31476 
[INFO] 2021-04-29 05:06:47 > Step:   64600 Progress: 64.6% Elapsed: 16:57:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.95142 Generator_loss: 2.98195 
[INFO] 2021-04-29 05:08:10 > Step:   64700 Progress: 64.7% Elapsed: 16:58:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.86126 Generator_loss: 2.34445 
[INFO] 2021-04-29 05:09:34 > Step:   64800 Progress: 64.8% Elapsed: 16:59:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.21511 Generator_loss: 2.26926 
[INFO] 2021-04-29 05:10:58 > Step:   64900 Progress: 64.9% Elapsed: 17:01:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.97927 Generator_loss: 2.79503 
[INFO] 2021-04-29 05:12:21 > Step:   65000 Progress: 65.0% Elapsed: 17:02:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.80857 Generator_loss: 3.81329 
[INFO] 2021-04-29 05:13:44 > Step:   65100 Progress: 65.1% Elapsed: 17:04:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.93154 Generator_loss: 3.09011 
[INFO] 2021-04-29 05:15:08 > Step:   65200 Progress: 65.2% Elapsed: 17:05:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.86186 Generator_loss: 3.0691 
[INFO] 2021-04-29 05:16:33 > Step:   65300 Progress: 65.3% Elapsed: 17:06:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.82954 Generator_loss: 2.92268 
[INFO] 2021-04-29 05:17:56 > Step:   65400 Progress: 65.4% Elapsed: 17:08:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.00908 Generator_loss: 3.54178 
[INFO] 2021-04-29 05:19:19 > Step:   65500 Progress: 65.5% Elapsed: 17:09:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.82239 Generator_loss: 2.82353 
[INFO] 2021-04-29 05:20:43 > Step:   65600 Progress: 65.6% Elapsed: 17:11:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.85028 Generator_loss: 2.9216 
[INFO] 2021-04-29 05:22:06 > Step:   65700 Progress: 65.7% Elapsed: 17:12:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.7136 Generator_loss: 2.9742 
[INFO] 2021-04-29 05:23:30 > Step:   65800 Progress: 65.8% Elapsed: 17:13:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.04551 Generator_loss: 2.30657 
[INFO] 2021-04-29 05:24:53 > Step:   65900 Progress: 65.9% Elapsed: 17:15:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.85335 Generator_loss: 3.29718 
[INFO] 2021-04-29 05:26:17 > Step:   66000 Progress: 66.0% Elapsed: 17:16:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.86928 Generator_loss: 2.2156 
[INFO] 2021-04-29 05:26:17 > Start Evaluation (66000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 05:26:17 > Calculating FID Score....
[INFO] 2021-04-29 05:26:52 > Calculating Inception Score....
[INFO] 2021-04-29 05:27:09 > Calculate F_beta Score....
[INFO] 2021-04-29 05:28:07 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 05:28:08 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 05:28:09 > Calculate Accuracies....
[INFO] 2021-04-29 05:28:15 > Calculate Accuracies....
[INFO] 2021-04-29 05:28:17 > F_8 score (Step: 66000, Using test images): 0.9919296249488352
[INFO] 2021-04-29 05:28:17 > F_1/8 score (Step: 66000, Using test images): 0.9960703104581894
[INFO] 2021-04-29 05:28:17 > FID score (Step: 66000, Using test moments): 8.065861242705125
[INFO] 2021-04-29 05:28:17 > Inception score (Step: 66000, 10000 generated images): 9.81418228149414
[INFO] 2021-04-29 05:28:17 > Best FID score (Step: 64000, Using test moments): 7.916400876708053
[INFO] 2021-04-29 05:28:18 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 05:29:41 > Step:   66100 Progress: 66.1% Elapsed: 17:20:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.86449 Generator_loss: 2.8686 
[INFO] 2021-04-29 05:31:04 > Step:   66200 Progress: 66.2% Elapsed: 17:21:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.90279 Generator_loss: 2.1821 
[INFO] 2021-04-29 05:32:28 > Step:   66300 Progress: 66.3% Elapsed: 17:22:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.86897 Generator_loss: 2.62012 
[INFO] 2021-04-29 05:33:54 > Step:   66400 Progress: 66.4% Elapsed: 17:24:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.04813 Generator_loss: 3.46234 
[INFO] 2021-04-29 05:35:17 > Step:   66500 Progress: 66.5% Elapsed: 17:25:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.86778 Generator_loss: 2.53756 
[INFO] 2021-04-29 05:36:40 > Step:   66600 Progress: 66.6% Elapsed: 17:26:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.87264 Generator_loss: 2.86497 
[INFO] 2021-04-29 05:38:04 > Step:   66700 Progress: 66.7% Elapsed: 17:28:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.74781 Generator_loss: 2.99992 
[INFO] 2021-04-29 05:39:27 > Step:   66800 Progress: 66.8% Elapsed: 17:29:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.87498 Generator_loss: 2.94137 
[INFO] 2021-04-29 05:40:52 > Step:   66900 Progress: 66.9% Elapsed: 17:31:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.78142 Generator_loss: 2.88132 
[INFO] 2021-04-29 05:42:16 > Step:   67000 Progress: 67.0% Elapsed: 17:32:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.13098 Generator_loss: 3.72943 
[INFO] 2021-04-29 05:43:40 > Step:   67100 Progress: 67.1% Elapsed: 17:33:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.12819 Generator_loss: 3.41314 
[INFO] 2021-04-29 05:45:04 > Step:   67200 Progress: 67.2% Elapsed: 17:35:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.9097 Generator_loss: 3.45376 
[INFO] 2021-04-29 05:46:29 > Step:   67300 Progress: 67.3% Elapsed: 17:36:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.03173 Generator_loss: 3.49749 
[INFO] 2021-04-29 05:47:54 > Step:   67400 Progress: 67.4% Elapsed: 17:38:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.98515 Generator_loss: 2.50395 
[INFO] 2021-04-29 05:49:18 > Step:   67500 Progress: 67.5% Elapsed: 17:39:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.84967 Generator_loss: 2.9995 
[INFO] 2021-04-29 05:50:41 > Step:   67600 Progress: 67.6% Elapsed: 17:41:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.91644 Generator_loss: 3.29839 
[INFO] 2021-04-29 05:52:05 > Step:   67700 Progress: 67.7% Elapsed: 17:42:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.02521 Generator_loss: 3.73572 
[INFO] 2021-04-29 05:53:29 > Step:   67800 Progress: 67.8% Elapsed: 17:43:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.01003 Generator_loss: 2.51893 
[INFO] 2021-04-29 05:54:53 > Step:   67900 Progress: 67.9% Elapsed: 17:45:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.83479 Generator_loss: 2.89643 
[INFO] 2021-04-29 05:56:15 > Step:   68000 Progress: 68.0% Elapsed: 17:46:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.82459 Generator_loss: 2.79342 
[INFO] 2021-04-29 05:56:15 > Start Evaluation (68000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 05:56:15 > Calculating FID Score....
[INFO] 2021-04-29 05:56:49 > Calculating Inception Score....
[INFO] 2021-04-29 05:57:06 > Calculate F_beta Score....
[INFO] 2021-04-29 05:58:02 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 05:58:03 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 05:58:03 > Calculate Accuracies....
[INFO] 2021-04-29 05:58:10 > Calculate Accuracies....
[INFO] 2021-04-29 05:58:12 > F_8 score (Step: 68000, Using test images): 0.9938535981101339
[INFO] 2021-04-29 05:58:12 > F_1/8 score (Step: 68000, Using test images): 0.9944994421863453
[INFO] 2021-04-29 05:58:12 > FID score (Step: 68000, Using test moments): 7.919215365995683
[INFO] 2021-04-29 05:58:12 > Inception score (Step: 68000, 10000 generated images): 9.847894668579102
[INFO] 2021-04-29 05:58:12 > Best FID score (Step: 64000, Using test moments): 7.916400876708053
[INFO] 2021-04-29 05:58:13 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 05:59:37 > Step:   68100 Progress: 68.1% Elapsed: 17:49:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.76938 Generator_loss: 3.42562 
[INFO] 2021-04-29 06:01:00 > Step:   68200 Progress: 68.2% Elapsed: 17:51:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.90451 Generator_loss: 3.41191 
[INFO] 2021-04-29 06:02:24 > Step:   68300 Progress: 68.3% Elapsed: 17:52:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.9005 Generator_loss: 3.04273 
[INFO] 2021-04-29 06:03:46 > Step:   68400 Progress: 68.4% Elapsed: 17:54:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.95175 Generator_loss: 3.13961 
[INFO] 2021-04-29 06:05:11 > Step:   68500 Progress: 68.5% Elapsed: 17:55:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.95991 Generator_loss: 2.86379 
[INFO] 2021-04-29 06:06:34 > Step:   68600 Progress: 68.6% Elapsed: 17:56:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.10157 Generator_loss: 3.31528 
[INFO] 2021-04-29 06:07:57 > Step:   68700 Progress: 68.7% Elapsed: 17:58:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.90344 Generator_loss: 2.75794 
[INFO] 2021-04-29 06:09:20 > Step:   68800 Progress: 68.8% Elapsed: 17:59:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.97385 Generator_loss: 2.58925 
[INFO] 2021-04-29 06:10:44 > Step:   68900 Progress: 68.9% Elapsed: 18:01:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.80224 Generator_loss: 3.03733 
[INFO] 2021-04-29 06:12:09 > Step:   69000 Progress: 69.0% Elapsed: 18:02:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.91652 Generator_loss: 2.72842 
[INFO] 2021-04-29 06:13:32 > Step:   69100 Progress: 69.1% Elapsed: 18:03:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.99839 Generator_loss: 2.68603 
[INFO] 2021-04-29 06:14:57 > Step:   69200 Progress: 69.2% Elapsed: 18:05:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.85836 Generator_loss: 2.71738 
[INFO] 2021-04-29 06:16:20 > Step:   69300 Progress: 69.3% Elapsed: 18:06:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.77489 Generator_loss: 2.60092 
[INFO] 2021-04-29 06:17:43 > Step:   69400 Progress: 69.4% Elapsed: 18:08:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.8319 Generator_loss: 3.59242 
[INFO] 2021-04-29 06:19:07 > Step:   69500 Progress: 69.5% Elapsed: 18:09:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.88509 Generator_loss: 3.18958 
[INFO] 2021-04-29 06:20:31 > Step:   69600 Progress: 69.6% Elapsed: 18:10:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.89503 Generator_loss: 3.38054 
[INFO] 2021-04-29 06:21:55 > Step:   69700 Progress: 69.7% Elapsed: 18:12:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.06992 Generator_loss: 2.25822 
[INFO] 2021-04-29 06:23:18 > Step:   69800 Progress: 69.8% Elapsed: 18:13:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.05215 Generator_loss: 3.51821 
[INFO] 2021-04-29 06:24:42 > Step:   69900 Progress: 69.9% Elapsed: 18:15:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.86172 Generator_loss: 2.99707 
[INFO] 2021-04-29 06:26:06 > Step:   70000 Progress: 70.0% Elapsed: 18:16:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.95595 Generator_loss: 2.91375 
[INFO] 2021-04-29 06:26:06 > Start Evaluation (70000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 06:26:06 > Calculating FID Score....
[INFO] 2021-04-29 06:26:39 > Calculating Inception Score....
[INFO] 2021-04-29 06:26:56 > Calculate F_beta Score....
[INFO] 2021-04-29 06:27:52 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 06:27:53 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 06:27:53 > Calculate Accuracies....
[INFO] 2021-04-29 06:28:00 > Calculate Accuracies....
[INFO] 2021-04-29 06:28:02 > F_8 score (Step: 70000, Using test images): 0.9948122623868763
[INFO] 2021-04-29 06:28:02 > F_1/8 score (Step: 70000, Using test images): 0.9949756962143699
[INFO] 2021-04-29 06:28:02 > FID score (Step: 70000, Using test moments): 7.9002159392790645
[INFO] 2021-04-29 06:28:02 > Inception score (Step: 70000, 10000 generated images): 9.903987884521484
[INFO] 2021-04-29 06:28:02 > Best FID score (Step: 70000, Using test moments): 7.9002159392790645
[INFO] 2021-04-29 06:28:05 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 06:29:28 > Step:   70100 Progress: 70.1% Elapsed: 18:19:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.83277 Generator_loss: 3.03302 
[INFO] 2021-04-29 06:30:51 > Step:   70200 Progress: 70.2% Elapsed: 18:21:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.84897 Generator_loss: 3.42962 
[INFO] 2021-04-29 06:32:15 > Step:   70300 Progress: 70.3% Elapsed: 18:22:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.74679 Generator_loss: 2.57661 
[INFO] 2021-04-29 06:33:38 > Step:   70400 Progress: 70.4% Elapsed: 18:23:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.81221 Generator_loss: 3.03541 
[INFO] 2021-04-29 06:35:01 > Step:   70500 Progress: 70.5% Elapsed: 18:25:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.85285 Generator_loss: 2.65201 
[INFO] 2021-04-29 06:36:26 > Step:   70600 Progress: 70.6% Elapsed: 18:26:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.81181 Generator_loss: 2.74117 
[INFO] 2021-04-29 06:37:49 > Step:   70700 Progress: 70.7% Elapsed: 18:28:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.8237 Generator_loss: 2.34534 
[INFO] 2021-04-29 06:39:12 > Step:   70800 Progress: 70.8% Elapsed: 18:29:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.8564 Generator_loss: 3.06343 
[INFO] 2021-04-29 06:40:36 > Step:   70900 Progress: 70.9% Elapsed: 18:30:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.99196 Generator_loss: 3.87346 
[INFO] 2021-04-29 06:42:00 > Step:   71000 Progress: 71.0% Elapsed: 18:32:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.8836 Generator_loss: 3.45798 
[INFO] 2021-04-29 06:43:23 > Step:   71100 Progress: 71.1% Elapsed: 18:33:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.90597 Generator_loss: 2.79043 
[INFO] 2021-04-29 06:44:46 > Step:   71200 Progress: 71.2% Elapsed: 18:35:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.92433 Generator_loss: 3.44962 
[INFO] 2021-04-29 06:46:10 > Step:   71300 Progress: 71.3% Elapsed: 18:36:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.83695 Generator_loss: 2.95488 
[INFO] 2021-04-29 06:47:33 > Step:   71400 Progress: 71.4% Elapsed: 18:37:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.04249 Generator_loss: 2.57528 
[INFO] 2021-04-29 06:48:56 > Step:   71500 Progress: 71.5% Elapsed: 18:39:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.00572 Generator_loss: 3.50153 
[INFO] 2021-04-29 06:50:20 > Step:   71600 Progress: 71.6% Elapsed: 18:40:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.81725 Generator_loss: 3.17034 
[INFO] 2021-04-29 06:51:43 > Step:   71700 Progress: 71.7% Elapsed: 18:42:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.88767 Generator_loss: 2.9216 
[INFO] 2021-04-29 06:53:07 > Step:   71800 Progress: 71.8% Elapsed: 18:43:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.97908 Generator_loss: 2.3131 
[INFO] 2021-04-29 06:54:30 > Step:   71900 Progress: 71.9% Elapsed: 18:44:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.91617 Generator_loss: 3.23171 
[INFO] 2021-04-29 06:55:54 > Step:   72000 Progress: 72.0% Elapsed: 18:46:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.78776 Generator_loss: 3.22637 
[INFO] 2021-04-29 06:55:54 > Start Evaluation (72000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 06:55:54 > Calculating FID Score....
[INFO] 2021-04-29 06:56:27 > Calculating Inception Score....
[INFO] 2021-04-29 06:56:45 > Calculate F_beta Score....
[INFO] 2021-04-29 06:57:41 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 06:57:42 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 06:57:42 > Calculate Accuracies....
[INFO] 2021-04-29 06:57:49 > Calculate Accuracies....
[INFO] 2021-04-29 06:57:51 > F_8 score (Step: 72000, Using test images): 0.9908828339932153
[INFO] 2021-04-29 06:57:51 > F_1/8 score (Step: 72000, Using test images): 0.9953475523422112
[INFO] 2021-04-29 06:57:51 > FID score (Step: 72000, Using test moments): 7.965294961488553
[INFO] 2021-04-29 06:57:51 > Inception score (Step: 72000, 10000 generated images): 9.856684684753418
[INFO] 2021-04-29 06:57:51 > Best FID score (Step: 70000, Using test moments): 7.9002159392790645
[INFO] 2021-04-29 06:57:53 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 06:59:16 > Step:   72100 Progress: 72.1% Elapsed: 18:49:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.72897 Generator_loss: 2.82153 
[INFO] 2021-04-29 07:00:39 > Step:   72200 Progress: 72.2% Elapsed: 18:50:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.03419 Generator_loss: 2.19159 
[INFO] 2021-04-29 07:02:02 > Step:   72300 Progress: 72.3% Elapsed: 18:52:21 temperature: 0.5 ada_p: No Discriminator_loss: 1.88603 Generator_loss: 3.54985 
[INFO] 2021-04-29 07:03:27 > Step:   72400 Progress: 72.4% Elapsed: 18:53:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.84998 Generator_loss: 2.93582 
[INFO] 2021-04-29 07:04:51 > Step:   72500 Progress: 72.5% Elapsed: 18:55:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.82705 Generator_loss: 3.02482 
[INFO] 2021-04-29 07:06:14 > Step:   72600 Progress: 72.6% Elapsed: 18:56:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.89441 Generator_loss: 2.59627 
[INFO] 2021-04-29 07:07:38 > Step:   72700 Progress: 72.7% Elapsed: 18:57:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.91754 Generator_loss: 3.41827 
[INFO] 2021-04-29 07:09:01 > Step:   72800 Progress: 72.8% Elapsed: 18:59:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.90285 Generator_loss: 3.55546 
[INFO] 2021-04-29 07:10:25 > Step:   72900 Progress: 72.9% Elapsed: 19:00:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.94235 Generator_loss: 2.92578 
[INFO] 2021-04-29 07:11:48 > Step:   73000 Progress: 73.0% Elapsed: 19:02:07 temperature: 0.5 ada_p: No Discriminator_loss: 1.86841 Generator_loss: 2.75094 
[INFO] 2021-04-29 07:13:12 > Step:   73100 Progress: 73.1% Elapsed: 19:03:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.88026 Generator_loss: 3.08488 
[INFO] 2021-04-29 07:14:35 > Step:   73200 Progress: 73.2% Elapsed: 19:04:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.84323 Generator_loss: 3.05086 
[INFO] 2021-04-29 07:15:59 > Step:   73300 Progress: 73.3% Elapsed: 19:06:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.99665 Generator_loss: 3.41653 
[INFO] 2021-04-29 07:17:29 > Step:   73400 Progress: 73.4% Elapsed: 19:07:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.98427 Generator_loss: 2.50956 
[INFO] 2021-04-29 07:18:53 > Step:   73500 Progress: 73.5% Elapsed: 19:09:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.80485 Generator_loss: 2.82954 
[INFO] 2021-04-29 07:20:16 > Step:   73600 Progress: 73.6% Elapsed: 19:10:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.91016 Generator_loss: 3.2643 
[INFO] 2021-04-29 07:21:40 > Step:   73700 Progress: 73.7% Elapsed: 19:11:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.86967 Generator_loss: 3.67966 
[INFO] 2021-04-29 07:23:03 > Step:   73800 Progress: 73.8% Elapsed: 19:13:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.85666 Generator_loss: 2.95363 
[INFO] 2021-04-29 07:24:26 > Step:   73900 Progress: 73.9% Elapsed: 19:14:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.8926 Generator_loss: 2.55235 
[INFO] 2021-04-29 07:25:49 > Step:   74000 Progress: 74.0% Elapsed: 19:16:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.06408 Generator_loss: 2.4678 
[INFO] 2021-04-29 07:25:49 > Start Evaluation (74000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 07:25:49 > Calculating FID Score....
[INFO] 2021-04-29 07:26:23 > Calculating Inception Score....
[INFO] 2021-04-29 07:26:41 > Calculate F_beta Score....
[INFO] 2021-04-29 07:27:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 07:27:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 07:27:38 > Calculate Accuracies....
[INFO] 2021-04-29 07:27:45 > Calculate Accuracies....
[INFO] 2021-04-29 07:27:47 > F_8 score (Step: 74000, Using test images): 0.9929156011090048
[INFO] 2021-04-29 07:27:47 > F_1/8 score (Step: 74000, Using test images): 0.9934794375250651
[INFO] 2021-04-29 07:27:47 > FID score (Step: 74000, Using test moments): 7.856158325434194
[INFO] 2021-04-29 07:27:47 > Inception score (Step: 74000, 10000 generated images): 9.919781684875488
[INFO] 2021-04-29 07:27:47 > Best FID score (Step: 74000, Using test moments): 7.856158325434194
[INFO] 2021-04-29 07:27:49 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 07:29:12 > Step:   74100 Progress: 74.1% Elapsed: 19:19:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.00023 Generator_loss: 3.49952 
[INFO] 2021-04-29 07:30:37 > Step:   74200 Progress: 74.2% Elapsed: 19:20:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.96833 Generator_loss: 3.07096 
[INFO] 2021-04-29 07:32:00 > Step:   74300 Progress: 74.3% Elapsed: 19:22:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.89199 Generator_loss: 2.3186 
[INFO] 2021-04-29 07:33:23 > Step:   74400 Progress: 74.4% Elapsed: 19:23:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.84842 Generator_loss: 2.63152 
[INFO] 2021-04-29 07:34:48 > Step:   74500 Progress: 74.5% Elapsed: 19:25:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.80168 Generator_loss: 3.34979 
[INFO] 2021-04-29 07:36:11 > Step:   74600 Progress: 74.6% Elapsed: 19:26:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.94278 Generator_loss: 3.00817 
[INFO] 2021-04-29 07:37:34 > Step:   74700 Progress: 74.7% Elapsed: 19:27:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.91112 Generator_loss: 1.90585 
[INFO] 2021-04-29 07:38:57 > Step:   74800 Progress: 74.8% Elapsed: 19:29:16 temperature: 0.5 ada_p: No Discriminator_loss: 1.84897 Generator_loss: 3.65698 
[INFO] 2021-04-29 07:40:21 > Step:   74900 Progress: 74.9% Elapsed: 19:30:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.80734 Generator_loss: 3.05953 
[INFO] 2021-04-29 07:41:44 > Step:   75000 Progress: 75.0% Elapsed: 19:32:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.87826 Generator_loss: 3.01537 
[INFO] 2021-04-29 07:43:07 > Step:   75100 Progress: 75.1% Elapsed: 19:33:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.95474 Generator_loss: 3.80619 
[INFO] 2021-04-29 07:44:32 > Step:   75200 Progress: 75.2% Elapsed: 19:34:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.82247 Generator_loss: 2.87223 
[INFO] 2021-04-29 07:45:55 > Step:   75300 Progress: 75.3% Elapsed: 19:36:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.86317 Generator_loss: 3.14451 
[INFO] 2021-04-29 07:47:18 > Step:   75400 Progress: 75.4% Elapsed: 19:37:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.04332 Generator_loss: 3.14603 
[INFO] 2021-04-29 07:48:42 > Step:   75500 Progress: 75.5% Elapsed: 19:39:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.86055 Generator_loss: 2.8668 
[INFO] 2021-04-29 07:50:07 > Step:   75600 Progress: 75.6% Elapsed: 19:40:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.75714 Generator_loss: 3.18228 
[INFO] 2021-04-29 07:51:31 > Step:   75700 Progress: 75.7% Elapsed: 19:41:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.00252 Generator_loss: 3.35023 
[INFO] 2021-04-29 07:52:54 > Step:   75800 Progress: 75.8% Elapsed: 19:43:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.87367 Generator_loss: 3.02483 
[INFO] 2021-04-29 07:54:18 > Step:   75900 Progress: 75.9% Elapsed: 19:44:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.77442 Generator_loss: 3.3118 
[INFO] 2021-04-29 07:55:41 > Step:   76000 Progress: 76.0% Elapsed: 19:46:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.91909 Generator_loss: 2.67142 
[INFO] 2021-04-29 07:55:41 > Start Evaluation (76000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 07:55:41 > Calculating FID Score....
[INFO] 2021-04-29 07:56:14 > Calculating Inception Score....
[INFO] 2021-04-29 07:56:32 > Calculate F_beta Score....
[INFO] 2021-04-29 07:57:29 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 07:57:29 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 07:57:30 > Calculate Accuracies....
[INFO] 2021-04-29 07:57:37 > Calculate Accuracies....
[INFO] 2021-04-29 07:57:38 > F_8 score (Step: 76000, Using test images): 0.9903509235474746
[INFO] 2021-04-29 07:57:39 > F_1/8 score (Step: 76000, Using test images): 0.9945069517943396
[INFO] 2021-04-29 07:57:39 > FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 07:57:39 > Inception score (Step: 76000, 10000 generated images): 9.974122047424316
[INFO] 2021-04-29 07:57:39 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 07:57:41 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 07:59:03 > Step:   76100 Progress: 76.1% Elapsed: 19:49:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.87365 Generator_loss: 3.36239 
[INFO] 2021-04-29 08:00:26 > Step:   76200 Progress: 76.2% Elapsed: 19:50:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.97366 Generator_loss: 2.48668 
[INFO] 2021-04-29 08:01:50 > Step:   76300 Progress: 76.3% Elapsed: 19:52:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.81854 Generator_loss: 2.5716 
[INFO] 2021-04-29 08:03:14 > Step:   76400 Progress: 76.4% Elapsed: 19:53:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.80564 Generator_loss: 3.71733 
[INFO] 2021-04-29 08:04:36 > Step:   76500 Progress: 76.5% Elapsed: 19:54:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.86724 Generator_loss: 2.8868 
[INFO] 2021-04-29 08:05:59 > Step:   76600 Progress: 76.6% Elapsed: 19:56:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.91748 Generator_loss: 2.62045 
[INFO] 2021-04-29 08:07:22 > Step:   76700 Progress: 76.7% Elapsed: 19:57:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.05177 Generator_loss: 2.54147 
[INFO] 2021-04-29 08:08:45 > Step:   76800 Progress: 76.8% Elapsed: 19:59:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.03409 Generator_loss: 2.88758 
[INFO] 2021-04-29 08:10:08 > Step:   76900 Progress: 76.9% Elapsed: 20:00:27 temperature: 0.5 ada_p: No Discriminator_loss: 1.83124 Generator_loss: 2.76203 
[INFO] 2021-04-29 08:11:32 > Step:   77000 Progress: 77.0% Elapsed: 20:01:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.82749 Generator_loss: 2.49224 
[INFO] 2021-04-29 08:12:56 > Step:   77100 Progress: 77.1% Elapsed: 20:03:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.80021 Generator_loss: 3.06347 
[INFO] 2021-04-29 08:14:19 > Step:   77200 Progress: 77.2% Elapsed: 20:04:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.76978 Generator_loss: 2.89162 
[INFO] 2021-04-29 08:15:42 > Step:   77300 Progress: 77.3% Elapsed: 20:06:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.01874 Generator_loss: 3.33552 
[INFO] 2021-04-29 08:17:05 > Step:   77400 Progress: 77.4% Elapsed: 20:07:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.95965 Generator_loss: 3.48474 
[INFO] 2021-04-29 08:18:28 > Step:   77500 Progress: 77.5% Elapsed: 20:08:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.83632 Generator_loss: 2.86761 
[INFO] 2021-04-29 08:19:53 > Step:   77600 Progress: 77.6% Elapsed: 20:10:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.13479 Generator_loss: 3.42525 
[INFO] 2021-04-29 08:21:16 > Step:   77700 Progress: 77.7% Elapsed: 20:11:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.79115 Generator_loss: 2.61722 
[INFO] 2021-04-29 08:22:39 > Step:   77800 Progress: 77.8% Elapsed: 20:12:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.80653 Generator_loss: 3.33405 
[INFO] 2021-04-29 08:24:02 > Step:   77900 Progress: 77.9% Elapsed: 20:14:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.94522 Generator_loss: 3.18879 
[INFO] 2021-04-29 08:25:25 > Step:   78000 Progress: 78.0% Elapsed: 20:15:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.79642 Generator_loss: 3.18011 
[INFO] 2021-04-29 08:25:25 > Start Evaluation (78000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 08:25:25 > Calculating FID Score....
[INFO] 2021-04-29 08:25:59 > Calculating Inception Score....
[INFO] 2021-04-29 08:26:16 > Calculate F_beta Score....
[INFO] 2021-04-29 08:27:11 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 08:27:12 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 08:27:13 > Calculate Accuracies....
[INFO] 2021-04-29 08:27:20 > Calculate Accuracies....
[INFO] 2021-04-29 08:27:22 > F_8 score (Step: 78000, Using test images): 0.9925426323784199
[INFO] 2021-04-29 08:27:22 > F_1/8 score (Step: 78000, Using test images): 0.9929628591076949
[INFO] 2021-04-29 08:27:22 > FID score (Step: 78000, Using test moments): 7.908562629213463
[INFO] 2021-04-29 08:27:22 > Inception score (Step: 78000, 10000 generated images): 9.89514446258545
[INFO] 2021-04-29 08:27:22 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 08:27:23 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 08:28:47 > Step:   78100 Progress: 78.1% Elapsed: 20:19:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.7603 Generator_loss: 3.19095 
[INFO] 2021-04-29 08:30:10 > Step:   78200 Progress: 78.2% Elapsed: 20:20:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.80471 Generator_loss: 3.1278 
[INFO] 2021-04-29 08:31:34 > Step:   78300 Progress: 78.3% Elapsed: 20:21:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.94739 Generator_loss: 2.45576 
[INFO] 2021-04-29 08:32:58 > Step:   78400 Progress: 78.4% Elapsed: 20:23:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.83424 Generator_loss: 3.18248 
[INFO] 2021-04-29 08:34:21 > Step:   78500 Progress: 78.5% Elapsed: 20:24:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.02658 Generator_loss: 3.29358 
[INFO] 2021-04-29 08:35:44 > Step:   78600 Progress: 78.6% Elapsed: 20:26:02 temperature: 0.5 ada_p: No Discriminator_loss: 1.97991 Generator_loss: 3.06032 
[INFO] 2021-04-29 08:37:06 > Step:   78700 Progress: 78.7% Elapsed: 20:27:25 temperature: 0.5 ada_p: No Discriminator_loss: 1.85061 Generator_loss: 3.27979 
[INFO] 2021-04-29 08:38:31 > Step:   78800 Progress: 78.8% Elapsed: 20:28:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.92747 Generator_loss: 3.66732 
[INFO] 2021-04-29 08:39:54 > Step:   78900 Progress: 78.9% Elapsed: 20:30:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.86964 Generator_loss: 2.99186 
[INFO] 2021-04-29 08:41:17 > Step:   79000 Progress: 79.0% Elapsed: 20:31:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.84292 Generator_loss: 2.88152 
[INFO] 2021-04-29 08:42:40 > Step:   79100 Progress: 79.1% Elapsed: 20:32:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.81972 Generator_loss: 3.69491 
[INFO] 2021-04-29 08:44:03 > Step:   79200 Progress: 79.2% Elapsed: 20:34:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.96956 Generator_loss: 3.83045 
[INFO] 2021-04-29 08:45:26 > Step:   79300 Progress: 79.3% Elapsed: 20:35:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.89264 Generator_loss: 3.05495 
[INFO] 2021-04-29 08:46:49 > Step:   79400 Progress: 79.4% Elapsed: 20:37:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.90911 Generator_loss: 3.09421 
[INFO] 2021-04-29 08:48:12 > Step:   79500 Progress: 79.5% Elapsed: 20:38:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.00261 Generator_loss: 3.99749 
[INFO] 2021-04-29 08:49:36 > Step:   79600 Progress: 79.6% Elapsed: 20:39:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.95561 Generator_loss: 3.82511 
[INFO] 2021-04-29 08:51:00 > Step:   79700 Progress: 79.7% Elapsed: 20:41:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.18257 Generator_loss: 3.31154 
[INFO] 2021-04-29 08:52:24 > Step:   79800 Progress: 79.8% Elapsed: 20:42:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.7905 Generator_loss: 2.76065 
[INFO] 2021-04-29 08:53:47 > Step:   79900 Progress: 79.9% Elapsed: 20:44:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.87905 Generator_loss: 2.47265 
[INFO] 2021-04-29 08:55:10 > Step:   80000 Progress: 80.0% Elapsed: 20:45:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.81549 Generator_loss: 3.09301 
[INFO] 2021-04-29 08:55:10 > Start Evaluation (80000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 08:55:10 > Calculating FID Score....
[INFO] 2021-04-29 08:55:44 > Calculating Inception Score....
[INFO] 2021-04-29 08:56:01 > Calculate F_beta Score....
[INFO] 2021-04-29 08:56:58 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 08:56:59 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 08:56:59 > Calculate Accuracies....
[INFO] 2021-04-29 08:57:06 > Calculate Accuracies....
[INFO] 2021-04-29 08:57:08 > F_8 score (Step: 80000, Using test images): 0.9931016942364256
[INFO] 2021-04-29 08:57:08 > F_1/8 score (Step: 80000, Using test images): 0.9948983093518794
[INFO] 2021-04-29 08:57:08 > FID score (Step: 80000, Using test moments): 7.844226385815489
[INFO] 2021-04-29 08:57:08 > Inception score (Step: 80000, 10000 generated images): 9.899592399597168
[INFO] 2021-04-29 08:57:08 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 08:57:09 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 08:58:32 > Step:   80100 Progress: 80.1% Elapsed: 20:48:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.95214 Generator_loss: 2.97382 
[INFO] 2021-04-29 08:59:56 > Step:   80200 Progress: 80.2% Elapsed: 20:50:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.83455 Generator_loss: 2.55206 
[INFO] 2021-04-29 09:01:18 > Step:   80300 Progress: 80.3% Elapsed: 20:51:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.84558 Generator_loss: 3.47352 
[INFO] 2021-04-29 09:02:42 > Step:   80400 Progress: 80.4% Elapsed: 20:53:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.86936 Generator_loss: 2.70122 
[INFO] 2021-04-29 09:04:05 > Step:   80500 Progress: 80.5% Elapsed: 20:54:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.73969 Generator_loss: 3.07731 
[INFO] 2021-04-29 09:05:29 > Step:   80600 Progress: 80.6% Elapsed: 20:55:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.99412 Generator_loss: 2.81778 
[INFO] 2021-04-29 09:06:52 > Step:   80700 Progress: 80.7% Elapsed: 20:57:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.72944 Generator_loss: 3.29288 
[INFO] 2021-04-29 09:08:15 > Step:   80800 Progress: 80.8% Elapsed: 20:58:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.75591 Generator_loss: 3.15657 
[INFO] 2021-04-29 09:09:39 > Step:   80900 Progress: 80.9% Elapsed: 20:59:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.11335 Generator_loss: 2.15992 
[INFO] 2021-04-29 09:11:02 > Step:   81000 Progress: 81.0% Elapsed: 21:01:21 temperature: 0.5 ada_p: No Discriminator_loss: 1.95319 Generator_loss: 3.35063 
[INFO] 2021-04-29 09:12:25 > Step:   81100 Progress: 81.1% Elapsed: 21:02:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.8729 Generator_loss: 2.44961 
[INFO] 2021-04-29 09:13:50 > Step:   81200 Progress: 81.2% Elapsed: 21:04:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.81575 Generator_loss: 2.85035 
[INFO] 2021-04-29 09:15:13 > Step:   81300 Progress: 81.3% Elapsed: 21:05:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.95407 Generator_loss: 3.20814 
[INFO] 2021-04-29 09:16:36 > Step:   81400 Progress: 81.4% Elapsed: 21:06:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.85678 Generator_loss: 2.92156 
[INFO] 2021-04-29 09:17:59 > Step:   81500 Progress: 81.5% Elapsed: 21:08:18 temperature: 0.5 ada_p: No Discriminator_loss: 1.8872 Generator_loss: 2.21701 
[INFO] 2021-04-29 09:19:22 > Step:   81600 Progress: 81.6% Elapsed: 21:09:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.00314 Generator_loss: 2.33903 
[INFO] 2021-04-29 09:20:45 > Step:   81700 Progress: 81.7% Elapsed: 21:11:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.92539 Generator_loss: 2.50747 
[INFO] 2021-04-29 09:22:08 > Step:   81800 Progress: 81.8% Elapsed: 21:12:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.24351 Generator_loss: 3.92638 
[INFO] 2021-04-29 09:23:32 > Step:   81900 Progress: 81.9% Elapsed: 21:13:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.92148 Generator_loss: 3.38766 
[INFO] 2021-04-29 09:24:55 > Step:   82000 Progress: 82.0% Elapsed: 21:15:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.88945 Generator_loss: 2.97414 
[INFO] 2021-04-29 09:24:55 > Start Evaluation (82000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 09:24:55 > Calculating FID Score....
[INFO] 2021-04-29 09:25:28 > Calculating Inception Score....
[INFO] 2021-04-29 09:25:46 > Calculate F_beta Score....
[INFO] 2021-04-29 09:26:40 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 09:26:40 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 09:26:41 > Calculate Accuracies....
[INFO] 2021-04-29 09:26:48 > Calculate Accuracies....
[INFO] 2021-04-29 09:26:49 > F_8 score (Step: 82000, Using test images): 0.9914842512160542
[INFO] 2021-04-29 09:26:49 > F_1/8 score (Step: 82000, Using test images): 0.9951291033506284
[INFO] 2021-04-29 09:26:49 > FID score (Step: 82000, Using test moments): 7.936783637341648
[INFO] 2021-04-29 09:26:49 > Inception score (Step: 82000, 10000 generated images): 9.868231773376465
[INFO] 2021-04-29 09:26:49 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 09:26:51 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 09:28:14 > Step:   82100 Progress: 82.1% Elapsed: 21:18:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.81188 Generator_loss: 3.43947 
[INFO] 2021-04-29 09:29:37 > Step:   82200 Progress: 82.2% Elapsed: 21:19:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.82791 Generator_loss: 3.05584 
[INFO] 2021-04-29 09:31:00 > Step:   82300 Progress: 82.3% Elapsed: 21:21:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.81482 Generator_loss: 3.40263 
[INFO] 2021-04-29 09:32:23 > Step:   82400 Progress: 82.4% Elapsed: 21:22:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.23501 Generator_loss: 1.83345 
[INFO] 2021-04-29 09:33:47 > Step:   82500 Progress: 82.5% Elapsed: 21:24:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.9 Generator_loss: 2.89487 
[INFO] 2021-04-29 09:35:09 > Step:   82600 Progress: 82.6% Elapsed: 21:25:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.78341 Generator_loss: 2.92048 
[INFO] 2021-04-29 09:36:33 > Step:   82700 Progress: 82.7% Elapsed: 21:26:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.93073 Generator_loss: 3.50489 
[INFO] 2021-04-29 09:37:56 > Step:   82800 Progress: 82.8% Elapsed: 21:28:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.89377 Generator_loss: 3.287 
[INFO] 2021-04-29 09:39:19 > Step:   82900 Progress: 82.9% Elapsed: 21:29:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.88297 Generator_loss: 2.84431 
[INFO] 2021-04-29 09:40:42 > Step:   83000 Progress: 83.0% Elapsed: 21:31:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.8675 Generator_loss: 3.56913 
[INFO] 2021-04-29 09:42:05 > Step:   83100 Progress: 83.1% Elapsed: 21:32:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.0103 Generator_loss: 3.82239 
[INFO] 2021-04-29 09:43:28 > Step:   83200 Progress: 83.2% Elapsed: 21:33:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.84337 Generator_loss: 2.87264 
[INFO] 2021-04-29 09:44:51 > Step:   83300 Progress: 83.3% Elapsed: 21:35:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.83768 Generator_loss: 3.06197 
[INFO] 2021-04-29 09:46:14 > Step:   83400 Progress: 83.4% Elapsed: 21:36:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.91822 Generator_loss: 3.04955 
[INFO] 2021-04-29 09:47:38 > Step:   83500 Progress: 83.5% Elapsed: 21:37:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.91552 Generator_loss: 3.40904 
[INFO] 2021-04-29 09:49:00 > Step:   83600 Progress: 83.6% Elapsed: 21:39:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.8314 Generator_loss: 3.77309 
[INFO] 2021-04-29 09:50:24 > Step:   83700 Progress: 83.7% Elapsed: 21:40:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.81918 Generator_loss: 3.28758 
[INFO] 2021-04-29 09:51:47 > Step:   83800 Progress: 83.8% Elapsed: 21:42:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.94973 Generator_loss: 2.48766 
[INFO] 2021-04-29 09:53:10 > Step:   83900 Progress: 83.9% Elapsed: 21:43:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.84998 Generator_loss: 2.83126 
[INFO] 2021-04-29 09:54:32 > Step:   84000 Progress: 84.0% Elapsed: 21:44:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.86429 Generator_loss: 2.59674 
[INFO] 2021-04-29 09:54:32 > Start Evaluation (84000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 09:54:32 > Calculating FID Score....
[INFO] 2021-04-29 09:55:05 > Calculating Inception Score....
[INFO] 2021-04-29 09:55:22 > Calculate F_beta Score....
[INFO] 2021-04-29 09:56:16 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 09:56:16 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 09:56:17 > Calculate Accuracies....
[INFO] 2021-04-29 09:56:24 > Calculate Accuracies....
[INFO] 2021-04-29 09:56:26 > F_8 score (Step: 84000, Using test images): 0.9937215996260655
[INFO] 2021-04-29 09:56:26 > F_1/8 score (Step: 84000, Using test images): 0.9948153073647529
[INFO] 2021-04-29 09:56:26 > FID score (Step: 84000, Using test moments): 7.866031167178107
[INFO] 2021-04-29 09:56:26 > Inception score (Step: 84000, 10000 generated images): 9.795598030090332
[INFO] 2021-04-29 09:56:26 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 09:56:27 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 09:57:50 > Step:   84100 Progress: 84.1% Elapsed: 21:48:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.93665 Generator_loss: 2.80129 
[INFO] 2021-04-29 09:59:13 > Step:   84200 Progress: 84.2% Elapsed: 21:49:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.00525 Generator_loss: 3.5292 
[INFO] 2021-04-29 10:00:37 > Step:   84300 Progress: 84.3% Elapsed: 21:50:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.89901 Generator_loss: 3.47458 
[INFO] 2021-04-29 10:02:01 > Step:   84400 Progress: 84.4% Elapsed: 21:52:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.98983 Generator_loss: 2.60912 
[INFO] 2021-04-29 10:03:23 > Step:   84500 Progress: 84.5% Elapsed: 21:53:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.84713 Generator_loss: 3.32341 
[INFO] 2021-04-29 10:04:48 > Step:   84600 Progress: 84.6% Elapsed: 21:55:07 temperature: 0.5 ada_p: No Discriminator_loss: 1.84986 Generator_loss: 3.02166 
[INFO] 2021-04-29 10:06:11 > Step:   84700 Progress: 84.7% Elapsed: 21:56:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.93567 Generator_loss: 3.06113 
[INFO] 2021-04-29 10:07:34 > Step:   84800 Progress: 84.8% Elapsed: 21:57:53 temperature: 0.5 ada_p: No Discriminator_loss: 1.81871 Generator_loss: 3.0295 
[INFO] 2021-04-29 10:08:58 > Step:   84900 Progress: 84.9% Elapsed: 21:59:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.85629 Generator_loss: 3.23293 
[INFO] 2021-04-29 10:10:21 > Step:   85000 Progress: 85.0% Elapsed: 22:00:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.00701 Generator_loss: 2.57568 
[INFO] 2021-04-29 10:11:44 > Step:   85100 Progress: 85.1% Elapsed: 22:02:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.91846 Generator_loss: 3.39612 
[INFO] 2021-04-29 10:13:07 > Step:   85200 Progress: 85.2% Elapsed: 22:03:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.79534 Generator_loss: 3.25264 
[INFO] 2021-04-29 10:14:30 > Step:   85300 Progress: 85.3% Elapsed: 22:04:48 temperature: 0.5 ada_p: No Discriminator_loss: 1.86139 Generator_loss: 2.84259 
[INFO] 2021-04-29 10:15:52 > Step:   85400 Progress: 85.4% Elapsed: 22:06:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.77414 Generator_loss: 2.62381 
[INFO] 2021-04-29 10:17:16 > Step:   85500 Progress: 85.5% Elapsed: 22:07:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.94401 Generator_loss: 2.09362 
[INFO] 2021-04-29 10:18:40 > Step:   85600 Progress: 85.6% Elapsed: 22:08:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.88682 Generator_loss: 3.33268 
[INFO] 2021-04-29 10:20:03 > Step:   85700 Progress: 85.7% Elapsed: 22:10:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.84419 Generator_loss: 2.82237 
[INFO] 2021-04-29 10:21:27 > Step:   85800 Progress: 85.8% Elapsed: 22:11:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.8631 Generator_loss: 2.72859 
[INFO] 2021-04-29 10:22:50 > Step:   85900 Progress: 85.9% Elapsed: 22:13:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.80362 Generator_loss: 3.15648 
[INFO] 2021-04-29 10:24:13 > Step:   86000 Progress: 86.0% Elapsed: 22:14:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.73294 Generator_loss: 2.87776 
[INFO] 2021-04-29 10:24:13 > Start Evaluation (86000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 10:24:13 > Calculating FID Score....
[INFO] 2021-04-29 10:24:46 > Calculating Inception Score....
[INFO] 2021-04-29 10:25:03 > Calculate F_beta Score....
[INFO] 2021-04-29 10:25:57 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 10:25:58 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 10:25:58 > Calculate Accuracies....
[INFO] 2021-04-29 10:26:05 > Calculate Accuracies....
[INFO] 2021-04-29 10:26:07 > F_8 score (Step: 86000, Using test images): 0.9933522366325409
[INFO] 2021-04-29 10:26:07 > F_1/8 score (Step: 86000, Using test images): 0.9946145121382438
[INFO] 2021-04-29 10:26:07 > FID score (Step: 86000, Using test moments): 7.81650384894067
[INFO] 2021-04-29 10:26:07 > Inception score (Step: 86000, 10000 generated images): 9.847204208374023
[INFO] 2021-04-29 10:26:07 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 10:26:08 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 10:27:31 > Step:   86100 Progress: 86.1% Elapsed: 22:17:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.80521 Generator_loss: 2.92697 
[INFO] 2021-04-29 10:28:54 > Step:   86200 Progress: 86.2% Elapsed: 22:19:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.76273 Generator_loss: 2.62526 
[INFO] 2021-04-29 10:30:18 > Step:   86300 Progress: 86.3% Elapsed: 22:20:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.96588 Generator_loss: 2.76203 
[INFO] 2021-04-29 10:31:40 > Step:   86400 Progress: 86.4% Elapsed: 22:21:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.81856 Generator_loss: 3.16924 
[INFO] 2021-04-29 10:33:03 > Step:   86500 Progress: 86.5% Elapsed: 22:23:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.96418 Generator_loss: 3.0764 
[INFO] 2021-04-29 10:34:27 > Step:   86600 Progress: 86.6% Elapsed: 22:24:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.87677 Generator_loss: 3.05883 
[INFO] 2021-04-29 10:35:51 > Step:   86700 Progress: 86.7% Elapsed: 22:26:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.95028 Generator_loss: 3.30921 
[INFO] 2021-04-29 10:37:14 > Step:   86800 Progress: 86.8% Elapsed: 22:27:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.92106 Generator_loss: 2.69369 
[INFO] 2021-04-29 10:38:37 > Step:   86900 Progress: 86.9% Elapsed: 22:28:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.89319 Generator_loss: 2.53136 
[INFO] 2021-04-29 10:40:00 > Step:   87000 Progress: 87.0% Elapsed: 22:30:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.9525 Generator_loss: 2.90862 
[INFO] 2021-04-29 10:41:23 > Step:   87100 Progress: 87.1% Elapsed: 22:31:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.75939 Generator_loss: 2.82413 
[INFO] 2021-04-29 10:42:46 > Step:   87200 Progress: 87.2% Elapsed: 22:33:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.95512 Generator_loss: 3.1316 
[INFO] 2021-04-29 10:44:09 > Step:   87300 Progress: 87.3% Elapsed: 22:34:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.84168 Generator_loss: 3.5422 
[INFO] 2021-04-29 10:45:33 > Step:   87400 Progress: 87.4% Elapsed: 22:35:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.77304 Generator_loss: 2.999 
[INFO] 2021-04-29 10:46:55 > Step:   87500 Progress: 87.5% Elapsed: 22:37:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.90925 Generator_loss: 2.98887 
[INFO] 2021-04-29 10:48:18 > Step:   87600 Progress: 87.6% Elapsed: 22:38:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.81862 Generator_loss: 3.12347 
[INFO] 2021-04-29 10:49:41 > Step:   87700 Progress: 87.7% Elapsed: 22:40:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.81845 Generator_loss: 2.60645 
[INFO] 2021-04-29 10:51:05 > Step:   87800 Progress: 87.8% Elapsed: 22:41:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.79428 Generator_loss: 3.46265 
[INFO] 2021-04-29 10:52:28 > Step:   87900 Progress: 87.9% Elapsed: 22:42:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.79879 Generator_loss: 3.28655 
[INFO] 2021-04-29 10:53:53 > Step:   88000 Progress: 88.0% Elapsed: 22:44:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.84983 Generator_loss: 3.21661 
[INFO] 2021-04-29 10:53:53 > Start Evaluation (88000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 10:53:53 > Calculating FID Score....
[INFO] 2021-04-29 10:54:26 > Calculating Inception Score....
[INFO] 2021-04-29 10:54:43 > Calculate F_beta Score....
[INFO] 2021-04-29 10:55:44 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 10:55:45 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 10:55:45 > Calculate Accuracies....
[INFO] 2021-04-29 10:55:52 > Calculate Accuracies....
[INFO] 2021-04-29 10:55:54 > F_8 score (Step: 88000, Using test images): 0.9934961164744281
[INFO] 2021-04-29 10:55:54 > F_1/8 score (Step: 88000, Using test images): 0.9938899707937344
[INFO] 2021-04-29 10:55:54 > FID score (Step: 88000, Using test moments): 7.8645742630423
[INFO] 2021-04-29 10:55:54 > Inception score (Step: 88000, 10000 generated images): 9.895957946777344
[INFO] 2021-04-29 10:55:54 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 10:55:55 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 10:57:18 > Step:   88100 Progress: 88.1% Elapsed: 22:47:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.75298 Generator_loss: 2.78017 
[INFO] 2021-04-29 10:58:41 > Step:   88200 Progress: 88.2% Elapsed: 22:49:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.87023 Generator_loss: 2.76363 
[INFO] 2021-04-29 11:00:04 > Step:   88300 Progress: 88.3% Elapsed: 22:50:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.04251 Generator_loss: 3.15925 
[INFO] 2021-04-29 11:01:27 > Step:   88400 Progress: 88.4% Elapsed: 22:51:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.75519 Generator_loss: 2.91697 
[INFO] 2021-04-29 11:02:49 > Step:   88500 Progress: 88.5% Elapsed: 22:53:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.90068 Generator_loss: 3.15245 
[INFO] 2021-04-29 11:04:13 > Step:   88600 Progress: 88.6% Elapsed: 22:54:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.75534 Generator_loss: 3.10834 
[INFO] 2021-04-29 11:05:37 > Step:   88700 Progress: 88.7% Elapsed: 22:55:56 temperature: 0.5 ada_p: No Discriminator_loss: 1.77571 Generator_loss: 3.10801 
[INFO] 2021-04-29 11:07:00 > Step:   88800 Progress: 88.8% Elapsed: 22:57:19 temperature: 0.5 ada_p: No Discriminator_loss: 1.79851 Generator_loss: 3.51501 
[INFO] 2021-04-29 11:08:22 > Step:   88900 Progress: 88.9% Elapsed: 22:58:41 temperature: 0.5 ada_p: No Discriminator_loss: 1.91212 Generator_loss: 2.41778 
[INFO] 2021-04-29 11:09:46 > Step:   89000 Progress: 89.0% Elapsed: 23:00:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.87991 Generator_loss: 3.40948 
[INFO] 2021-04-29 11:11:09 > Step:   89100 Progress: 89.1% Elapsed: 23:01:28 temperature: 0.5 ada_p: No Discriminator_loss: 1.86231 Generator_loss: 3.38894 
[INFO] 2021-04-29 11:12:31 > Step:   89200 Progress: 89.2% Elapsed: 23:02:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.85301 Generator_loss: 3.02581 
[INFO] 2021-04-29 11:13:54 > Step:   89300 Progress: 89.3% Elapsed: 23:04:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.88534 Generator_loss: 3.24125 
[INFO] 2021-04-29 11:15:17 > Step:   89400 Progress: 89.4% Elapsed: 23:05:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.76658 Generator_loss: 2.14094 
[INFO] 2021-04-29 11:16:41 > Step:   89500 Progress: 89.5% Elapsed: 23:06:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.00639 Generator_loss: 3.10029 
[INFO] 2021-04-29 11:18:04 > Step:   89600 Progress: 89.6% Elapsed: 23:08:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.97352 Generator_loss: 3.09108 
[INFO] 2021-04-29 11:19:26 > Step:   89700 Progress: 89.7% Elapsed: 23:09:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.84381 Generator_loss: 3.15649 
[INFO] 2021-04-29 11:20:50 > Step:   89800 Progress: 89.8% Elapsed: 23:11:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.70699 Generator_loss: 3.2392 
[INFO] 2021-04-29 11:22:13 > Step:   89900 Progress: 89.9% Elapsed: 23:12:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.86646 Generator_loss: 3.2614 
[INFO] 2021-04-29 11:23:36 > Step:   90000 Progress: 90.0% Elapsed: 23:13:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.86576 Generator_loss: 3.21948 
[INFO] 2021-04-29 11:23:36 > Start Evaluation (90000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 11:23:36 > Calculating FID Score....
[INFO] 2021-04-29 11:24:10 > Calculating Inception Score....
[INFO] 2021-04-29 11:24:28 > Calculate F_beta Score....
[INFO] 2021-04-29 11:25:24 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 11:25:25 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 11:25:25 > Calculate Accuracies....
[INFO] 2021-04-29 11:25:32 > Calculate Accuracies....
[INFO] 2021-04-29 11:25:34 > F_8 score (Step: 90000, Using test images): 0.9936482862820974
[INFO] 2021-04-29 11:25:34 > F_1/8 score (Step: 90000, Using test images): 0.9943655109979461
[INFO] 2021-04-29 11:25:34 > FID score (Step: 90000, Using test moments): 7.816516979516621
[INFO] 2021-04-29 11:25:34 > Inception score (Step: 90000, 10000 generated images): 9.976353645324707
[INFO] 2021-04-29 11:25:34 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 11:25:35 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 11:26:58 > Step:   90100 Progress: 90.1% Elapsed: 23:17:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.89548 Generator_loss: 3.25137 
[INFO] 2021-04-29 11:28:21 > Step:   90200 Progress: 90.2% Elapsed: 23:18:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.02241 Generator_loss: 3.42558 
[INFO] 2021-04-29 11:29:45 > Step:   90300 Progress: 90.3% Elapsed: 23:20:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.02754 Generator_loss: 2.62755 
[INFO] 2021-04-29 11:31:07 > Step:   90400 Progress: 90.4% Elapsed: 23:21:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.90696 Generator_loss: 3.07036 
[INFO] 2021-04-29 11:32:31 > Step:   90500 Progress: 90.5% Elapsed: 23:22:50 temperature: 0.5 ada_p: No Discriminator_loss: 1.89509 Generator_loss: 3.77312 
[INFO] 2021-04-29 11:33:54 > Step:   90600 Progress: 90.6% Elapsed: 23:24:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.85398 Generator_loss: 3.55856 
[INFO] 2021-04-29 11:35:16 > Step:   90700 Progress: 90.7% Elapsed: 23:25:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.95661 Generator_loss: 3.5848 
[INFO] 2021-04-29 11:36:40 > Step:   90800 Progress: 90.8% Elapsed: 23:26:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.80753 Generator_loss: 2.44942 
[INFO] 2021-04-29 11:38:02 > Step:   90900 Progress: 90.9% Elapsed: 23:28:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.22023 Generator_loss: 3.46288 
[INFO] 2021-04-29 11:39:25 > Step:   91000 Progress: 91.0% Elapsed: 23:29:44 temperature: 0.5 ada_p: No Discriminator_loss: 1.7743 Generator_loss: 3.62305 
[INFO] 2021-04-29 11:40:48 > Step:   91100 Progress: 91.1% Elapsed: 23:31:06 temperature: 0.5 ada_p: No Discriminator_loss: 1.90005 Generator_loss: 3.37106 
[INFO] 2021-04-29 11:42:11 > Step:   91200 Progress: 91.2% Elapsed: 23:32:30 temperature: 0.5 ada_p: No Discriminator_loss: 1.87488 Generator_loss: 2.71169 
[INFO] 2021-04-29 11:43:34 > Step:   91300 Progress: 91.3% Elapsed: 23:33:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.82141 Generator_loss: 2.81717 
[INFO] 2021-04-29 11:44:57 > Step:   91400 Progress: 91.4% Elapsed: 23:35:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.79097 Generator_loss: 3.24022 
[INFO] 2021-04-29 11:46:20 > Step:   91500 Progress: 91.5% Elapsed: 23:36:39 temperature: 0.5 ada_p: No Discriminator_loss: 1.9166 Generator_loss: 3.32097 
[INFO] 2021-04-29 11:47:42 > Step:   91600 Progress: 91.6% Elapsed: 23:38:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.78411 Generator_loss: 3.06182 
[INFO] 2021-04-29 11:49:05 > Step:   91700 Progress: 91.7% Elapsed: 23:39:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.83285 Generator_loss: 3.10406 
[INFO] 2021-04-29 11:50:27 > Step:   91800 Progress: 91.8% Elapsed: 23:40:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.87386 Generator_loss: 3.82118 
[INFO] 2021-04-29 11:51:51 > Step:   91900 Progress: 91.9% Elapsed: 23:42:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.87642 Generator_loss: 3.40234 
[INFO] 2021-04-29 11:53:14 > Step:   92000 Progress: 92.0% Elapsed: 23:43:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.94375 Generator_loss: 2.48146 
[INFO] 2021-04-29 11:53:14 > Start Evaluation (92000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 11:53:14 > Calculating FID Score....
[INFO] 2021-04-29 11:53:47 > Calculating Inception Score....
[INFO] 2021-04-29 11:54:04 > Calculate F_beta Score....
[INFO] 2021-04-29 11:55:00 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 11:55:01 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 11:55:01 > Calculate Accuracies....
[INFO] 2021-04-29 11:55:08 > Calculate Accuracies....
[INFO] 2021-04-29 11:55:10 > F_8 score (Step: 92000, Using test images): 0.9898469993983271
[INFO] 2021-04-29 11:55:10 > F_1/8 score (Step: 92000, Using test images): 0.9949991937756859
[INFO] 2021-04-29 11:55:10 > FID score (Step: 92000, Using test moments): 8.038404098954231
[INFO] 2021-04-29 11:55:10 > Inception score (Step: 92000, 10000 generated images): 9.976131439208984
[INFO] 2021-04-29 11:55:10 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 11:55:11 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 11:56:33 > Step:   92100 Progress: 92.1% Elapsed: 23:46:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.78992 Generator_loss: 3.50706 
[INFO] 2021-04-29 11:57:57 > Step:   92200 Progress: 92.2% Elapsed: 23:48:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.85852 Generator_loss: 3.3556 
[INFO] 2021-04-29 11:59:19 > Step:   92300 Progress: 92.3% Elapsed: 23:49:38 temperature: 0.5 ada_p: No Discriminator_loss: 1.76389 Generator_loss: 2.82691 
[INFO] 2021-04-29 12:00:42 > Step:   92400 Progress: 92.4% Elapsed: 23:51:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.90575 Generator_loss: 3.2192 
[INFO] 2021-04-29 12:02:05 > Step:   92500 Progress: 92.5% Elapsed: 23:52:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.83692 Generator_loss: 2.90471 
[INFO] 2021-04-29 12:03:28 > Step:   92600 Progress: 92.6% Elapsed: 23:53:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.83495 Generator_loss: 2.73437 
[INFO] 2021-04-29 12:04:52 > Step:   92700 Progress: 92.7% Elapsed: 23:55:10 temperature: 0.5 ada_p: No Discriminator_loss: 1.83285 Generator_loss: 2.43389 
[INFO] 2021-04-29 12:06:15 > Step:   92800 Progress: 92.8% Elapsed: 23:56:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.90819 Generator_loss: 2.99833 
[INFO] 2021-04-29 12:07:39 > Step:   92900 Progress: 92.9% Elapsed: 23:57:58 temperature: 0.5 ada_p: No Discriminator_loss: 1.99023 Generator_loss: 3.16447 
[INFO] 2021-04-29 12:09:03 > Step:   93000 Progress: 93.0% Elapsed: 23:59:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.86671 Generator_loss: 3.52136 
[INFO] 2021-04-29 12:10:26 > Step:   93100 Progress: 93.1% Elapsed: 1 day, 0:00:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.7966 Generator_loss: 3.35628 
[INFO] 2021-04-29 12:11:49 > Step:   93200 Progress: 93.2% Elapsed: 1 day, 0:02:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.81009 Generator_loss: 3.12204 
[INFO] 2021-04-29 12:13:12 > Step:   93300 Progress: 93.3% Elapsed: 1 day, 0:03:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.16503 Generator_loss: 3.41674 
[INFO] 2021-04-29 12:14:35 > Step:   93400 Progress: 93.4% Elapsed: 1 day, 0:04:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.8539 Generator_loss: 2.4236 
[INFO] 2021-04-29 12:15:58 > Step:   93500 Progress: 93.5% Elapsed: 1 day, 0:06:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.80731 Generator_loss: 2.98042 
[INFO] 2021-04-29 12:17:21 > Step:   93600 Progress: 93.6% Elapsed: 1 day, 0:07:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.8515 Generator_loss: 3.54734 
[INFO] 2021-04-29 12:18:45 > Step:   93700 Progress: 93.7% Elapsed: 1 day, 0:09:04 temperature: 0.5 ada_p: No Discriminator_loss: 1.70568 Generator_loss: 3.16463 
[INFO] 2021-04-29 12:20:08 > Step:   93800 Progress: 93.8% Elapsed: 1 day, 0:10:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.90695 Generator_loss: 2.98346 
[INFO] 2021-04-29 12:21:30 > Step:   93900 Progress: 93.9% Elapsed: 1 day, 0:11:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.97599 Generator_loss: 3.44585 
[INFO] 2021-04-29 12:22:54 > Step:   94000 Progress: 94.0% Elapsed: 1 day, 0:13:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.85499 Generator_loss: 3.48629 
[INFO] 2021-04-29 12:22:54 > Start Evaluation (94000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 12:22:54 > Calculating FID Score....
[INFO] 2021-04-29 12:23:27 > Calculating Inception Score....
[INFO] 2021-04-29 12:23:45 > Calculate F_beta Score....
[INFO] 2021-04-29 12:24:42 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 12:24:43 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 12:24:43 > Calculate Accuracies....
[INFO] 2021-04-29 12:24:51 > Calculate Accuracies....
[INFO] 2021-04-29 12:24:52 > F_8 score (Step: 94000, Using test images): 0.991712195224987
[INFO] 2021-04-29 12:24:52 > F_1/8 score (Step: 94000, Using test images): 0.9951989651500355
[INFO] 2021-04-29 12:24:52 > FID score (Step: 94000, Using test moments): 7.98192298313262
[INFO] 2021-04-29 12:24:52 > Inception score (Step: 94000, 10000 generated images): 9.764322280883789
[INFO] 2021-04-29 12:24:52 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 12:24:53 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 12:26:16 > Step:   94100 Progress: 94.1% Elapsed: 1 day, 0:16:35 temperature: 0.5 ada_p: No Discriminator_loss: 1.7775 Generator_loss: 2.93934 
[INFO] 2021-04-29 12:27:40 > Step:   94200 Progress: 94.2% Elapsed: 1 day, 0:17:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.94428 Generator_loss: 3.76872 
[INFO] 2021-04-29 12:29:04 > Step:   94300 Progress: 94.3% Elapsed: 1 day, 0:19:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.80736 Generator_loss: 3.61218 
[INFO] 2021-04-29 12:30:27 > Step:   94400 Progress: 94.4% Elapsed: 1 day, 0:20:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.79033 Generator_loss: 2.86723 
[INFO] 2021-04-29 12:31:50 > Step:   94500 Progress: 94.5% Elapsed: 1 day, 0:22:08 temperature: 0.5 ada_p: No Discriminator_loss: 1.90209 Generator_loss: 3.02232 
[INFO] 2021-04-29 12:33:13 > Step:   94600 Progress: 94.6% Elapsed: 1 day, 0:23:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.86332 Generator_loss: 3.185 
[INFO] 2021-04-29 12:34:38 > Step:   94700 Progress: 94.7% Elapsed: 1 day, 0:24:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.75433 Generator_loss: 2.98018 
[INFO] 2021-04-29 12:36:01 > Step:   94800 Progress: 94.8% Elapsed: 1 day, 0:26:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.75949 Generator_loss: 3.10201 
[INFO] 2021-04-29 12:37:24 > Step:   94900 Progress: 94.9% Elapsed: 1 day, 0:27:43 temperature: 0.5 ada_p: No Discriminator_loss: 1.95656 Generator_loss: 2.89113 
[INFO] 2021-04-29 12:38:47 > Step:   95000 Progress: 95.0% Elapsed: 1 day, 0:29:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.82875 Generator_loss: 2.86971 
[INFO] 2021-04-29 12:40:10 > Step:   95100 Progress: 95.1% Elapsed: 1 day, 0:30:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.78077 Generator_loss: 3.52791 
[INFO] 2021-04-29 12:41:32 > Step:   95200 Progress: 95.2% Elapsed: 1 day, 0:31:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.90365 Generator_loss: 3.42005 
[INFO] 2021-04-29 12:42:55 > Step:   95300 Progress: 95.3% Elapsed: 1 day, 0:33:13 temperature: 0.5 ada_p: No Discriminator_loss: 1.79048 Generator_loss: 3.08036 
[INFO] 2021-04-29 12:44:18 > Step:   95400 Progress: 95.4% Elapsed: 1 day, 0:34:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.87789 Generator_loss: 2.77258 
[INFO] 2021-04-29 12:45:41 > Step:   95500 Progress: 95.5% Elapsed: 1 day, 0:36:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.77936 Generator_loss: 2.95358 
[INFO] 2021-04-29 12:47:04 > Step:   95600 Progress: 95.6% Elapsed: 1 day, 0:37:23 temperature: 0.5 ada_p: No Discriminator_loss: 1.79454 Generator_loss: 3.15297 
[INFO] 2021-04-29 12:48:27 > Step:   95700 Progress: 95.7% Elapsed: 1 day, 0:38:46 temperature: 0.5 ada_p: No Discriminator_loss: 1.9993 Generator_loss: 2.75321 
[INFO] 2021-04-29 12:49:50 > Step:   95800 Progress: 95.8% Elapsed: 1 day, 0:40:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.86542 Generator_loss: 3.4085 
[INFO] 2021-04-29 12:51:13 > Step:   95900 Progress: 95.9% Elapsed: 1 day, 0:41:32 temperature: 0.5 ada_p: No Discriminator_loss: 1.89525 Generator_loss: 3.52751 
[INFO] 2021-04-29 12:52:36 > Step:   96000 Progress: 96.0% Elapsed: 1 day, 0:42:55 temperature: 0.5 ada_p: No Discriminator_loss: 1.88025 Generator_loss: 2.90144 
[INFO] 2021-04-29 12:52:36 > Start Evaluation (96000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 12:52:36 > Calculating FID Score....
[INFO] 2021-04-29 12:53:10 > Calculating Inception Score....
[INFO] 2021-04-29 12:53:27 > Calculate F_beta Score....
[INFO] 2021-04-29 12:54:21 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 12:54:22 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 12:54:22 > Calculate Accuracies....
[INFO] 2021-04-29 12:54:29 > Calculate Accuracies....
[INFO] 2021-04-29 12:54:31 > F_8 score (Step: 96000, Using test images): 0.9938376236282855
[INFO] 2021-04-29 12:54:31 > F_1/8 score (Step: 96000, Using test images): 0.9945937526445296
[INFO] 2021-04-29 12:54:31 > FID score (Step: 96000, Using test moments): 7.960147879913393
[INFO] 2021-04-29 12:54:31 > Inception score (Step: 96000, 10000 generated images): 9.912591934204102
[INFO] 2021-04-29 12:54:31 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 12:54:33 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 12:55:58 > Step:   96100 Progress: 96.1% Elapsed: 1 day, 0:46:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.82669 Generator_loss: 3.50111 
[INFO] 2021-04-29 12:57:21 > Step:   96200 Progress: 96.2% Elapsed: 1 day, 0:47:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.0709 Generator_loss: 2.73502 
[INFO] 2021-04-29 12:58:44 > Step:   96300 Progress: 96.3% Elapsed: 1 day, 0:49:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.87183 Generator_loss: 3.31162 
[INFO] 2021-04-29 13:00:07 > Step:   96400 Progress: 96.4% Elapsed: 1 day, 0:50:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.90573 Generator_loss: 3.32878 
[INFO] 2021-04-29 13:01:30 > Step:   96500 Progress: 96.5% Elapsed: 1 day, 0:51:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.78379 Generator_loss: 3.47854 
[INFO] 2021-04-29 13:02:53 > Step:   96600 Progress: 96.6% Elapsed: 1 day, 0:53:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.04217 Generator_loss: 2.24112 
[INFO] 2021-04-29 13:04:15 > Step:   96700 Progress: 96.7% Elapsed: 1 day, 0:54:34 temperature: 0.5 ada_p: No Discriminator_loss: 1.95927 Generator_loss: 2.18998 
[INFO] 2021-04-29 13:05:39 > Step:   96800 Progress: 96.8% Elapsed: 1 day, 0:55:57 temperature: 0.5 ada_p: No Discriminator_loss: 1.95299 Generator_loss: 3.05347 
[INFO] 2021-04-29 13:07:01 > Step:   96900 Progress: 96.9% Elapsed: 1 day, 0:57:20 temperature: 0.5 ada_p: No Discriminator_loss: 1.90909 Generator_loss: 3.17031 
[INFO] 2021-04-29 13:08:24 > Step:   97000 Progress: 97.0% Elapsed: 1 day, 0:58:42 temperature: 0.5 ada_p: No Discriminator_loss: 1.95263 Generator_loss: 2.51555 
[INFO] 2021-04-29 13:09:46 > Step:   97100 Progress: 97.1% Elapsed: 1 day, 1:00:05 temperature: 0.5 ada_p: No Discriminator_loss: 1.86268 Generator_loss: 3.06842 
[INFO] 2021-04-29 13:11:10 > Step:   97200 Progress: 97.2% Elapsed: 1 day, 1:01:29 temperature: 0.5 ada_p: No Discriminator_loss: 1.89879 Generator_loss: 2.84101 
[INFO] 2021-04-29 13:12:33 > Step:   97300 Progress: 97.3% Elapsed: 1 day, 1:02:51 temperature: 0.5 ada_p: No Discriminator_loss: 1.78088 Generator_loss: 3.05975 
[INFO] 2021-04-29 13:13:55 > Step:   97400 Progress: 97.4% Elapsed: 1 day, 1:04:14 temperature: 0.5 ada_p: No Discriminator_loss: 1.92177 Generator_loss: 2.93123 
[INFO] 2021-04-29 13:15:18 > Step:   97500 Progress: 97.5% Elapsed: 1 day, 1:05:37 temperature: 0.5 ada_p: No Discriminator_loss: 1.86746 Generator_loss: 3.16323 
[INFO] 2021-04-29 13:16:42 > Step:   97600 Progress: 97.6% Elapsed: 1 day, 1:07:00 temperature: 0.5 ada_p: No Discriminator_loss: 1.8424 Generator_loss: 2.768 
[INFO] 2021-04-29 13:18:05 > Step:   97700 Progress: 97.7% Elapsed: 1 day, 1:08:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.76107 Generator_loss: 2.76653 
[INFO] 2021-04-29 13:19:28 > Step:   97800 Progress: 97.8% Elapsed: 1 day, 1:09:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.9395 Generator_loss: 2.46135 
[INFO] 2021-04-29 13:20:52 > Step:   97900 Progress: 97.9% Elapsed: 1 day, 1:11:11 temperature: 0.5 ada_p: No Discriminator_loss: 1.80822 Generator_loss: 2.82573 
[INFO] 2021-04-29 13:22:14 > Step:   98000 Progress: 98.0% Elapsed: 1 day, 1:12:33 temperature: 0.5 ada_p: No Discriminator_loss: 1.8753 Generator_loss: 3.09598 
[INFO] 2021-04-29 13:22:14 > Start Evaluation (98000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 13:22:14 > Calculating FID Score....
[INFO] 2021-04-29 13:22:47 > Calculating Inception Score....
[INFO] 2021-04-29 13:23:04 > Calculate F_beta Score....
[INFO] 2021-04-29 13:24:00 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 13:24:01 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 13:24:01 > Calculate Accuracies....
[INFO] 2021-04-29 13:24:08 > Calculate Accuracies....
[INFO] 2021-04-29 13:24:10 > F_8 score (Step: 98000, Using test images): 0.9897380631019843
[INFO] 2021-04-29 13:24:10 > F_1/8 score (Step: 98000, Using test images): 0.9936335984835273
[INFO] 2021-04-29 13:24:10 > FID score (Step: 98000, Using test moments): 7.917970077824691
[INFO] 2021-04-29 13:24:10 > Inception score (Step: 98000, 10000 generated images): 9.90036392211914
[INFO] 2021-04-29 13:24:10 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 13:24:11 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 13:25:33 > Step:   98100 Progress: 98.1% Elapsed: 1 day, 1:15:52 temperature: 0.5 ada_p: No Discriminator_loss: 1.82109 Generator_loss: 3.70099 
[INFO] 2021-04-29 13:26:56 > Step:   98200 Progress: 98.2% Elapsed: 1 day, 1:17:15 temperature: 0.5 ada_p: No Discriminator_loss: 1.80486 Generator_loss: 3.14269 
[INFO] 2021-04-29 13:28:19 > Step:   98300 Progress: 98.3% Elapsed: 1 day, 1:18:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.11308 Generator_loss: 3.50699 
[INFO] 2021-04-29 13:29:42 > Step:   98400 Progress: 98.4% Elapsed: 1 day, 1:20:01 temperature: 0.5 ada_p: No Discriminator_loss: 1.84639 Generator_loss: 3.22835 
[INFO] 2021-04-29 13:31:05 > Step:   98500 Progress: 98.5% Elapsed: 1 day, 1:21:24 temperature: 0.5 ada_p: No Discriminator_loss: 1.96936 Generator_loss: 2.62735 
[INFO] 2021-04-29 13:32:28 > Step:   98600 Progress: 98.6% Elapsed: 1 day, 1:22:47 temperature: 0.5 ada_p: No Discriminator_loss: 1.91137 Generator_loss: 3.33763 
[INFO] 2021-04-29 13:33:50 > Step:   98700 Progress: 98.7% Elapsed: 1 day, 1:24:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.85881 Generator_loss: 2.4635 
[INFO] 2021-04-29 13:35:12 > Step:   98800 Progress: 98.8% Elapsed: 1 day, 1:25:31 temperature: 0.5 ada_p: No Discriminator_loss: 1.71413 Generator_loss: 3.21421 
[INFO] 2021-04-29 13:36:35 > Step:   98900 Progress: 98.9% Elapsed: 1 day, 1:26:54 temperature: 0.5 ada_p: No Discriminator_loss: 1.98679 Generator_loss: 3.80465 
[INFO] 2021-04-29 13:37:58 > Step:   99000 Progress: 99.0% Elapsed: 1 day, 1:28:17 temperature: 0.5 ada_p: No Discriminator_loss: 1.90725 Generator_loss: 3.45316 
[INFO] 2021-04-29 13:39:21 > Step:   99100 Progress: 99.1% Elapsed: 1 day, 1:29:40 temperature: 0.5 ada_p: No Discriminator_loss: 1.86381 Generator_loss: 3.06561 
[INFO] 2021-04-29 13:40:44 > Step:   99200 Progress: 99.2% Elapsed: 1 day, 1:31:03 temperature: 0.5 ada_p: No Discriminator_loss: 1.83716 Generator_loss: 3.52776 
[INFO] 2021-04-29 13:42:08 > Step:   99300 Progress: 99.3% Elapsed: 1 day, 1:32:26 temperature: 0.5 ada_p: No Discriminator_loss: 1.84942 Generator_loss: 3.19137 
[INFO] 2021-04-29 13:43:31 > Step:   99400 Progress: 99.4% Elapsed: 1 day, 1:33:49 temperature: 0.5 ada_p: No Discriminator_loss: 1.99697 Generator_loss: 3.70452 
[INFO] 2021-04-29 13:44:53 > Step:   99500 Progress: 99.5% Elapsed: 1 day, 1:35:12 temperature: 0.5 ada_p: No Discriminator_loss: 1.88597 Generator_loss: 2.38964 
[INFO] 2021-04-29 13:46:17 > Step:   99600 Progress: 99.6% Elapsed: 1 day, 1:36:36 temperature: 0.5 ada_p: No Discriminator_loss: 1.78502 Generator_loss: 2.86624 
[INFO] 2021-04-29 13:47:40 > Step:   99700 Progress: 99.7% Elapsed: 1 day, 1:37:59 temperature: 0.5 ada_p: No Discriminator_loss: 1.79302 Generator_loss: 3.51588 
[INFO] 2021-04-29 13:49:03 > Step:   99800 Progress: 99.8% Elapsed: 1 day, 1:39:22 temperature: 0.5 ada_p: No Discriminator_loss: 1.81363 Generator_loss: 2.87814 
[INFO] 2021-04-29 13:50:26 > Step:   99900 Progress: 99.9% Elapsed: 1 day, 1:40:45 temperature: 0.5 ada_p: No Discriminator_loss: 1.77168 Generator_loss: 3.22442 
[INFO] 2021-04-29 13:51:50 > Step:  100000 Progress: 100.0% Elapsed: 1 day, 1:42:09 temperature: 0.5 ada_p: No Discriminator_loss: 1.79728 Generator_loss: 2.74238 
[INFO] 2021-04-29 13:51:50 > Start Evaluation (100000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 13:51:50 > Calculating FID Score....
[INFO] 2021-04-29 13:52:23 > Calculating Inception Score....
[INFO] 2021-04-29 13:52:41 > Calculate F_beta Score....
[INFO] 2021-04-29 13:53:36 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 13:53:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 13:53:37 > Calculate Accuracies....
[INFO] 2021-04-29 13:53:44 > Calculate Accuracies....
[INFO] 2021-04-29 13:53:46 > F_8 score (Step: 100000, Using test images): 0.9930719715062268
[INFO] 2021-04-29 13:53:46 > F_1/8 score (Step: 100000, Using test images): 0.9936594492163153
[INFO] 2021-04-29 13:53:46 > FID score (Step: 100000, Using test moments): 8.008992387435683
[INFO] 2021-04-29 13:53:46 > Inception score (Step: 100000, 10000 generated images): 9.829851150512695
[INFO] 2021-04-29 13:53:46 > Best FID score (Step: 76000, Using test moments): 7.792170700823817
[INFO] 2021-04-29 13:53:47 > Save model to checkpoints/CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 13:53:48 > Start Evaluation (100000 Step): CCMGAN-train-2021_04_28_12_09_23
[INFO] 2021-04-29 13:53:48 > Calculating FID Score....
[INFO] 2021-04-29 13:54:21 > Calculating Inception Score....
[INFO] 2021-04-29 13:54:38 > Calculate F_beta Score....
[INFO] 2021-04-29 13:55:37 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/pr_curve.png
[INFO] 2021-04-29 13:55:38 > Save image to ./figures/CCMGAN-train-2021_04_28_12_09_23/sim_heatmap.png
[INFO] 2021-04-29 13:55:38 > Calculate Accuracies....
[INFO] 2021-04-29 13:55:45 > Calculate Accuracies....
[INFO] 2021-04-29 13:55:47 > F_8 score (Step: 100000, Using test images): 0.991137915372409
[INFO] 2021-04-29 13:55:47 > F_1/8 score (Step: 100000, Using test images): 0.9943579133929741
[INFO] 2021-04-29 13:55:47 > FID score (Step: 100000, Using test moments): 8.036665753214947
[INFO] 2021-04-29 13:55:47 > Inception score (Step: 100000, 10000 generated images): 9.836180686950684
[INFO] 2021-04-29 13:55:47 > Best FID score (Step: 76000, Using test moments): 7.792170700823817