CCMGAN-train-2021_05_03_12_19_16.log

[INFO] 2021-05-03 12:19:17 > Run name : CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 12:19:17 > {
  "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": 346,
  "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] 2021-05-03 12:19:17 > {
  "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": true,
      "cr_lambda": 10.0,
      "bcr": false,
      "real_lambda": "N/A",
      "fake_lambda": "N/A",
      "zcr": false,
      "gen_lambda": "N/A",
      "dis_lambda": "N/A",
      "sigma_noise": "N/A"
    },
    "initialization": {
      "g_init": "ortho",
      "d_init": "ortho"
    },
    "training_and_sampling_setting": {
      "random_flip_preprocessing": true,
      "diff_aug": false,
      "ada": false,
      "ada_target": "N/A",
      "ada_length": "N/A",
      "prior": "gaussian",
      "truncated_factor": 1,
      "latent_op": false,
      "latent_op_rate": "N/A",
      "latent_op_step": "N/A",
      "latent_op_step4eval": "N/A",
      "latent_op_alpha": "N/A",
      "latent_op_beta": "N/A",
      "latent_norm_reg_weight": "N/A",
      "ema": true,
      "ema_decay": 0.9999,
      "ema_start": 1000
    }
  }
}
[INFO] 2021-05-03 12:19:17 > Load train datasets...
[INFO] 2021-05-03 12:19:17 > Train dataset size : 50000
[INFO] 2021-05-03 12:19:17 > Load test datasets...
[INFO] 2021-05-03 12:19:18 > Eval dataset size : 10000
[INFO] 2021-05-03 12:19:18 > Build model...
[INFO] 2021-05-03 12:19:18 > Modules are located on models.big_resnet.
[INFO] 2021-05-03 12:19:22 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-05-03 12:19:22 > Number of parameters: 9416196
[INFO] 2021-05-03 12:19:22 > 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] 2021-05-03 12:19:22 > Number of parameters: 2648898
[INFO] 2021-05-03 12:19:22 > 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] 2021-05-03 12:19:26 > Start training....
[INFO] 2021-05-03 12:21:11 > Step:     100 Progress: 0.1% Elapsed: 0:01:45 temperature: 0.5 ada_p: No Discriminator_loss: 3.25617 Generator_loss: 2.01734 
[INFO] 2021-05-03 12:22:55 > Step:     200 Progress: 0.2% Elapsed: 0:03:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.30174 Generator_loss: 1.68294 
[INFO] 2021-05-03 12:24:39 > Step:     300 Progress: 0.3% Elapsed: 0:05:13 temperature: 0.5 ada_p: No Discriminator_loss: 3.39626 Generator_loss: 3.23913 
[INFO] 2021-05-03 12:26:23 > Step:     400 Progress: 0.4% Elapsed: 0:06:57 temperature: 0.5 ada_p: No Discriminator_loss: 3.4521 Generator_loss: 2.66281 
[INFO] 2021-05-03 12:28:06 > Step:     500 Progress: 0.5% Elapsed: 0:08:40 temperature: 0.5 ada_p: No Discriminator_loss: 3.44095 Generator_loss: 0.759105 
[INFO] 2021-05-03 12:29:49 > Step:     600 Progress: 0.6% Elapsed: 0:10:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.57524 Generator_loss: 2.11285 
[INFO] 2021-05-03 12:31:32 > Step:     700 Progress: 0.7% Elapsed: 0:12:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.67594 Generator_loss: 2.20774 
[INFO] 2021-05-03 12:33:15 > Step:     800 Progress: 0.8% Elapsed: 0:13:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.51428 Generator_loss: 2.36703 
[INFO] 2021-05-03 12:34:59 > Step:     900 Progress: 0.9% Elapsed: 0:15:33 temperature: 0.5 ada_p: No Discriminator_loss: 3.4361 Generator_loss: 1.83568 
[INFO] 2021-05-03 12:36:43 > Step:    1000 Progress: 1.0% Elapsed: 0:17:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.31911 Generator_loss: 2.32574 
[INFO] 2021-05-03 12:38:26 > Step:    1100 Progress: 1.1% Elapsed: 0:19:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.33306 Generator_loss: 1.63185 
[INFO] 2021-05-03 12:40:09 > Step:    1200 Progress: 1.2% Elapsed: 0:20:43 temperature: 0.5 ada_p: No Discriminator_loss: 3.42186 Generator_loss: 2.38631 
[INFO] 2021-05-03 12:41:52 > Step:    1300 Progress: 1.3% Elapsed: 0:22:26 temperature: 0.5 ada_p: No Discriminator_loss: 3.26729 Generator_loss: 1.94549 
[INFO] 2021-05-03 12:43:36 > Step:    1400 Progress: 1.4% Elapsed: 0:24:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.45949 Generator_loss: 2.18991 
[INFO] 2021-05-03 12:45:20 > Step:    1500 Progress: 1.5% Elapsed: 0:25:54 temperature: 0.5 ada_p: No Discriminator_loss: 3.38939 Generator_loss: 2.06774 
[INFO] 2021-05-03 12:47:04 > Step:    1600 Progress: 1.6% Elapsed: 0:27:38 temperature: 0.5 ada_p: No Discriminator_loss: 3.31618 Generator_loss: 2.67563 
[INFO] 2021-05-03 12:48:47 > Step:    1700 Progress: 1.7% Elapsed: 0:29:21 temperature: 0.5 ada_p: No Discriminator_loss: 3.08771 Generator_loss: 1.72868 
[INFO] 2021-05-03 12:50:31 > Step:    1800 Progress: 1.8% Elapsed: 0:31:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.10821 Generator_loss: 1.64316 
[INFO] 2021-05-03 12:52:14 > Step:    1900 Progress: 1.9% Elapsed: 0:32:48 temperature: 0.5 ada_p: No Discriminator_loss: 3.2429 Generator_loss: 1.81236 
[INFO] 2021-05-03 12:53:56 > Step:    2000 Progress: 2.0% Elapsed: 0:34:30 temperature: 0.5 ada_p: No Discriminator_loss: 3.34064 Generator_loss: 2.22176 
[INFO] 2021-05-03 12:53:56 > Start Evaluation (2000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 12:53:56 > Calculating FID Score....
[INFO] 2021-05-03 12:54:29 > Calculating Inception Score....
[INFO] 2021-05-03 12:54:46 > Calculate F_beta Score....
[INFO] 2021-05-03 12:55:39 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 12:55:40 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 12:55:40 > Calculate Accuracies....
[INFO] 2021-05-03 12:55:47 > Calculate Accuracies....
[INFO] 2021-05-03 12:55:48 > F_8 score (Step: 2000, Using test images): 0.8192652590294345
[INFO] 2021-05-03 12:55:48 > F_1/8 score (Step: 2000, Using test images): 0.9147339067300967
[INFO] 2021-05-03 12:55:48 > FID score (Step: 2000, Using test moments): 43.192860146533576
[INFO] 2021-05-03 12:55:48 > Inception score (Step: 2000, 10000 generated images): 6.576448440551758
[INFO] 2021-05-03 12:55:48 > Best FID score (Step: 2000, Using test moments): 43.192860146533576
[INFO] 2021-05-03 12:55:51 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 12:57:34 > Step:    2100 Progress: 2.1% Elapsed: 0:38:07 temperature: 0.5 ada_p: No Discriminator_loss: 3.6563 Generator_loss: 1.36378 
[INFO] 2021-05-03 12:59:18 > Step:    2200 Progress: 2.2% Elapsed: 0:39:51 temperature: 0.5 ada_p: No Discriminator_loss: 3.47579 Generator_loss: 2.0222 
[INFO] 2021-05-03 13:01:01 > Step:    2300 Progress: 2.3% Elapsed: 0:41:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.2414 Generator_loss: 2.53065 
[INFO] 2021-05-03 13:02:45 > Step:    2400 Progress: 2.4% Elapsed: 0:43:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.23326 Generator_loss: 2.10426 
[INFO] 2021-05-03 13:04:28 > Step:    2500 Progress: 2.5% Elapsed: 0:45:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.06825 Generator_loss: 1.71374 
[INFO] 2021-05-03 13:06:12 > Step:    2600 Progress: 2.6% Elapsed: 0:46:46 temperature: 0.5 ada_p: No Discriminator_loss: 3.02104 Generator_loss: 2.43692 
[INFO] 2021-05-03 13:07:55 > Step:    2700 Progress: 2.7% Elapsed: 0:48:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.08775 Generator_loss: 3.16857 
[INFO] 2021-05-03 13:09:38 > Step:    2800 Progress: 2.8% Elapsed: 0:50:12 temperature: 0.5 ada_p: No Discriminator_loss: 3.27943 Generator_loss: 2.14743 
[INFO] 2021-05-03 13:11:23 > Step:    2900 Progress: 2.9% Elapsed: 0:51:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.26097 Generator_loss: 2.3716 
[INFO] 2021-05-03 13:13:06 > Step:    3000 Progress: 3.0% Elapsed: 0:53:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.96289 Generator_loss: 2.45559 
[INFO] 2021-05-03 13:14:49 > Step:    3100 Progress: 3.1% Elapsed: 0:55:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.07447 Generator_loss: 1.37821 
[INFO] 2021-05-03 13:16:33 > Step:    3200 Progress: 3.2% Elapsed: 0:57:07 temperature: 0.5 ada_p: No Discriminator_loss: 3.08128 Generator_loss: 1.18219 
[INFO] 2021-05-03 13:18:17 > Step:    3300 Progress: 3.3% Elapsed: 0:58:51 temperature: 0.5 ada_p: No Discriminator_loss: 3.02332 Generator_loss: 2.66329 
[INFO] 2021-05-03 13:20:00 > Step:    3400 Progress: 3.4% Elapsed: 1:00:34 temperature: 0.5 ada_p: No Discriminator_loss: 3.32505 Generator_loss: 2.06495 
[INFO] 2021-05-03 13:21:43 > Step:    3500 Progress: 3.5% Elapsed: 1:02:17 temperature: 0.5 ada_p: No Discriminator_loss: 3.12785 Generator_loss: 2.07776 
[INFO] 2021-05-03 13:23:27 > Step:    3600 Progress: 3.6% Elapsed: 1:04:01 temperature: 0.5 ada_p: No Discriminator_loss: 3.00497 Generator_loss: 2.15687 
[INFO] 2021-05-03 13:25:10 > Step:    3700 Progress: 3.7% Elapsed: 1:05:44 temperature: 0.5 ada_p: No Discriminator_loss: 3.10385 Generator_loss: 1.34846 
[INFO] 2021-05-03 13:26:53 > Step:    3800 Progress: 3.8% Elapsed: 1:07:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.05695 Generator_loss: 2.18921 
[INFO] 2021-05-03 13:28:36 > Step:    3900 Progress: 3.9% Elapsed: 1:09:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.05433 Generator_loss: 1.44166 
[INFO] 2021-05-03 13:30:18 > Step:    4000 Progress: 4.0% Elapsed: 1:10:52 temperature: 0.5 ada_p: No Discriminator_loss: 3.01454 Generator_loss: 2.40804 
[INFO] 2021-05-03 13:30:18 > Start Evaluation (4000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 13:30:18 > Calculating FID Score....
[INFO] 2021-05-03 13:30:49 > Calculating Inception Score....
[INFO] 2021-05-03 13:31:06 > Calculate F_beta Score....
[INFO] 2021-05-03 13:31:57 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 13:31:58 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 13:31:58 > Calculate Accuracies....
[INFO] 2021-05-03 13:32:05 > Calculate Accuracies....
[INFO] 2021-05-03 13:32:06 > F_8 score (Step: 4000, Using test images): 0.8642501276716826
[INFO] 2021-05-03 13:32:06 > F_1/8 score (Step: 4000, Using test images): 0.9327926888375503
[INFO] 2021-05-03 13:32:06 > FID score (Step: 4000, Using test moments): 37.355722600814886
[INFO] 2021-05-03 13:32:06 > Inception score (Step: 4000, 10000 generated images): 7.380635738372803
[INFO] 2021-05-03 13:32:06 > Best FID score (Step: 4000, Using test moments): 37.355722600814886
[INFO] 2021-05-03 13:32:09 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 13:33:52 > Step:    4100 Progress: 4.1% Elapsed: 1:14:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.94751 Generator_loss: 2.05703 
[INFO] 2021-05-03 13:35:35 > Step:    4200 Progress: 4.2% Elapsed: 1:16:08 temperature: 0.5 ada_p: No Discriminator_loss: 3.12239 Generator_loss: 2.01607 
[INFO] 2021-05-03 13:37:19 > Step:    4300 Progress: 4.3% Elapsed: 1:17:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.89555 Generator_loss: 2.82003 
[INFO] 2021-05-03 13:39:03 > Step:    4400 Progress: 4.4% Elapsed: 1:19:37 temperature: 0.5 ada_p: No Discriminator_loss: 3.02753 Generator_loss: 1.97918 
[INFO] 2021-05-03 13:40:47 > Step:    4500 Progress: 4.5% Elapsed: 1:21:20 temperature: 0.5 ada_p: No Discriminator_loss: 3.24462 Generator_loss: 1.45804 
[INFO] 2021-05-03 13:42:31 > Step:    4600 Progress: 4.6% Elapsed: 1:23:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.35213 Generator_loss: 0.842352 
[INFO] 2021-05-03 13:44:15 > Step:    4700 Progress: 4.7% Elapsed: 1:24:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.93623 Generator_loss: 1.92884 
[INFO] 2021-05-03 13:45:59 > Step:    4800 Progress: 4.8% Elapsed: 1:26:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.89497 Generator_loss: 1.72575 
[INFO] 2021-05-03 13:47:42 > Step:    4900 Progress: 4.9% Elapsed: 1:28:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.0278 Generator_loss: 1.73699 
[INFO] 2021-05-03 13:49:27 > Step:    5000 Progress: 5.0% Elapsed: 1:30:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.96258 Generator_loss: 2.09166 
[INFO] 2021-05-03 13:51:11 > Step:    5100 Progress: 5.1% Elapsed: 1:31:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.89637 Generator_loss: 1.8506 
[INFO] 2021-05-03 13:52:55 > Step:    5200 Progress: 5.2% Elapsed: 1:33:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.93449 Generator_loss: 1.66842 
[INFO] 2021-05-03 13:54:38 > Step:    5300 Progress: 5.3% Elapsed: 1:35:12 temperature: 0.5 ada_p: No Discriminator_loss: 3.04441 Generator_loss: 1.5158 
[INFO] 2021-05-03 13:56:22 > Step:    5400 Progress: 5.4% Elapsed: 1:36:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.0649 Generator_loss: 1.66147 
[INFO] 2021-05-03 13:58:06 > Step:    5500 Progress: 5.5% Elapsed: 1:38:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.94674 Generator_loss: 1.36029 
[INFO] 2021-05-03 13:59:50 > Step:    5600 Progress: 5.6% Elapsed: 1:40:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.87347 Generator_loss: 1.7564 
[INFO] 2021-05-03 14:01:34 > Step:    5700 Progress: 5.7% Elapsed: 1:42:08 temperature: 0.5 ada_p: No Discriminator_loss: 3.13087 Generator_loss: 0.890461 
[INFO] 2021-05-03 14:03:18 > Step:    5800 Progress: 5.8% Elapsed: 1:43:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.93786 Generator_loss: 1.75174 
[INFO] 2021-05-03 14:05:01 > Step:    5900 Progress: 5.9% Elapsed: 1:45:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.01155 Generator_loss: 2.07007 
[INFO] 2021-05-03 14:06:42 > Step:    6000 Progress: 6.0% Elapsed: 1:47:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.98002 Generator_loss: 2.02687 
[INFO] 2021-05-03 14:06:42 > Start Evaluation (6000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 14:06:42 > Calculating FID Score....
[INFO] 2021-05-03 14:07:14 > Calculating Inception Score....
[INFO] 2021-05-03 14:07:31 > Calculate F_beta Score....
[INFO] 2021-05-03 14:08:26 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 14:08:26 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 14:08:27 > Calculate Accuracies....
[INFO] 2021-05-03 14:08:33 > Calculate Accuracies....
[INFO] 2021-05-03 14:08:35 > F_8 score (Step: 6000, Using test images): 0.8845312449550762
[INFO] 2021-05-03 14:08:35 > F_1/8 score (Step: 6000, Using test images): 0.9385226104560342
[INFO] 2021-05-03 14:08:35 > FID score (Step: 6000, Using test moments): 32.209996847189814
[INFO] 2021-05-03 14:08:35 > Inception score (Step: 6000, 10000 generated images): 7.858008861541748
[INFO] 2021-05-03 14:08:35 > Best FID score (Step: 6000, Using test moments): 32.209996847189814
[INFO] 2021-05-03 14:08:38 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 14:10:22 > Step:    6100 Progress: 6.1% Elapsed: 1:50:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.88633 Generator_loss: 1.43191 
[INFO] 2021-05-03 14:12:05 > Step:    6200 Progress: 6.2% Elapsed: 1:52:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.9385 Generator_loss: 1.94452 
[INFO] 2021-05-03 14:13:48 > Step:    6300 Progress: 6.3% Elapsed: 1:54:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.90301 Generator_loss: 0.831755 
[INFO] 2021-05-03 14:15:32 > Step:    6400 Progress: 6.4% Elapsed: 1:56:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.99335 Generator_loss: 1.44893 
[INFO] 2021-05-03 14:17:15 > Step:    6500 Progress: 6.5% Elapsed: 1:57:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.97365 Generator_loss: 1.85109 
[INFO] 2021-05-03 14:18:58 > Step:    6600 Progress: 6.6% Elapsed: 1:59:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.96303 Generator_loss: 1.99259 
[INFO] 2021-05-03 14:20:42 > Step:    6700 Progress: 6.7% Elapsed: 2:01:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.97978 Generator_loss: 1.4017 
[INFO] 2021-05-03 14:22:26 > Step:    6800 Progress: 6.8% Elapsed: 2:03:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.97104 Generator_loss: 2.33701 
[INFO] 2021-05-03 14:24:10 > Step:    6900 Progress: 6.9% Elapsed: 2:04:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.97816 Generator_loss: 1.58581 
[INFO] 2021-05-03 14:25:54 > Step:    7000 Progress: 7.0% Elapsed: 2:06:28 temperature: 0.5 ada_p: No Discriminator_loss: 3.13081 Generator_loss: 1.61026 
[INFO] 2021-05-03 14:27:38 > Step:    7100 Progress: 7.1% Elapsed: 2:08:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.94878 Generator_loss: 2.43414 
[INFO] 2021-05-03 14:29:21 > Step:    7200 Progress: 7.2% Elapsed: 2:09:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.96151 Generator_loss: 1.92273 
[INFO] 2021-05-03 14:31:05 > Step:    7300 Progress: 7.3% Elapsed: 2:11:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.03225 Generator_loss: 0.78273 
[INFO] 2021-05-03 14:32:49 > Step:    7400 Progress: 7.4% Elapsed: 2:13:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.00224 Generator_loss: 1.65934 
[INFO] 2021-05-03 14:34:33 > Step:    7500 Progress: 7.5% Elapsed: 2:15:07 temperature: 0.5 ada_p: No Discriminator_loss: 3.12131 Generator_loss: 1.80457 
[INFO] 2021-05-03 14:36:17 > Step:    7600 Progress: 7.6% Elapsed: 2:16:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.95878 Generator_loss: 1.84909 
[INFO] 2021-05-03 14:38:00 > Step:    7700 Progress: 7.7% Elapsed: 2:18:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.98624 Generator_loss: 1.73561 
[INFO] 2021-05-03 14:39:44 > Step:    7800 Progress: 7.8% Elapsed: 2:20:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.89469 Generator_loss: 1.73622 
[INFO] 2021-05-03 14:41:28 > Step:    7900 Progress: 7.9% Elapsed: 2:22:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.87977 Generator_loss: 1.96538 
[INFO] 2021-05-03 14:43:07 > Step:    8000 Progress: 8.0% Elapsed: 2:23:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.98474 Generator_loss: 1.50512 
[INFO] 2021-05-03 14:43:07 > Start Evaluation (8000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 14:43:07 > Calculating FID Score....
[INFO] 2021-05-03 14:43:39 > Calculating Inception Score....
[INFO] 2021-05-03 14:43:56 > Calculate F_beta Score....
[INFO] 2021-05-03 14:44:49 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 14:44:49 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 14:44:50 > Calculate Accuracies....
[INFO] 2021-05-03 14:44:56 > Calculate Accuracies....
[INFO] 2021-05-03 14:44:58 > F_8 score (Step: 8000, Using test images): 0.9187022617379988
[INFO] 2021-05-03 14:44:58 > F_1/8 score (Step: 8000, Using test images): 0.9557306792468645
[INFO] 2021-05-03 14:44:58 > FID score (Step: 8000, Using test moments): 27.22197849565822
[INFO] 2021-05-03 14:44:58 > Inception score (Step: 8000, 10000 generated images): 8.4350004196167
[INFO] 2021-05-03 14:44:58 > Best FID score (Step: 8000, Using test moments): 27.22197849565822
[INFO] 2021-05-03 14:45:00 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 14:46:44 > Step:    8100 Progress: 8.1% Elapsed: 2:27:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.91203 Generator_loss: 2.24514 
[INFO] 2021-05-03 14:48:30 > Step:    8200 Progress: 8.2% Elapsed: 2:29:04 temperature: 0.5 ada_p: No Discriminator_loss: 3.04694 Generator_loss: 1.91265 
[INFO] 2021-05-03 14:50:14 > Step:    8300 Progress: 8.3% Elapsed: 2:30:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.81107 Generator_loss: 2.21288 
[INFO] 2021-05-03 14:51:58 > Step:    8400 Progress: 8.4% Elapsed: 2:32:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.93379 Generator_loss: 2.04587 
[INFO] 2021-05-03 14:53:41 > Step:    8500 Progress: 8.5% Elapsed: 2:34:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.89087 Generator_loss: 1.78102 
[INFO] 2021-05-03 14:55:25 > Step:    8600 Progress: 8.6% Elapsed: 2:35:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.80803 Generator_loss: 2.39219 
[INFO] 2021-05-03 14:57:08 > Step:    8700 Progress: 8.7% Elapsed: 2:37:42 temperature: 0.5 ada_p: No Discriminator_loss: 3.09768 Generator_loss: 1.535 
[INFO] 2021-05-03 14:58:53 > Step:    8800 Progress: 8.8% Elapsed: 2:39:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.98295 Generator_loss: 1.64107 
[INFO] 2021-05-03 15:00:37 > Step:    8900 Progress: 8.9% Elapsed: 2:41:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.7454 Generator_loss: 2.24157 
[INFO] 2021-05-03 15:02:22 > Step:    9000 Progress: 9.0% Elapsed: 2:42:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.75004 Generator_loss: 2.4007 
[INFO] 2021-05-03 15:04:06 > Step:    9100 Progress: 9.1% Elapsed: 2:44:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.91785 Generator_loss: 2.22645 
[INFO] 2021-05-03 15:05:51 > Step:    9200 Progress: 9.2% Elapsed: 2:46:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.96274 Generator_loss: 2.02092 
[INFO] 2021-05-03 15:07:35 > Step:    9300 Progress: 9.3% Elapsed: 2:48:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.93416 Generator_loss: 1.85588 
[INFO] 2021-05-03 15:09:19 > Step:    9400 Progress: 9.4% Elapsed: 2:49:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.96921 Generator_loss: 1.71559 
[INFO] 2021-05-03 15:11:02 > Step:    9500 Progress: 9.5% Elapsed: 2:51:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.9089 Generator_loss: 2.37899 
[INFO] 2021-05-03 15:12:46 > Step:    9600 Progress: 9.6% Elapsed: 2:53:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.94348 Generator_loss: 2.44558 
[INFO] 2021-05-03 15:14:30 > Step:    9700 Progress: 9.7% Elapsed: 2:55:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.80496 Generator_loss: 2.41465 
[INFO] 2021-05-03 15:16:13 > Step:    9800 Progress: 9.8% Elapsed: 2:56:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.24402 Generator_loss: 1.48482 
[INFO] 2021-05-03 15:17:56 > Step:    9900 Progress: 9.9% Elapsed: 2:58:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.82246 Generator_loss: 1.85411 
[INFO] 2021-05-03 15:19:35 > Step:   10000 Progress: 10.0% Elapsed: 3:00:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.8462 Generator_loss: 1.93223 
[INFO] 2021-05-03 15:19:35 > Start Evaluation (10000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 15:19:35 > Calculating FID Score....
[INFO] 2021-05-03 15:20:06 > Calculating Inception Score....
[INFO] 2021-05-03 15:20:23 > Calculate F_beta Score....
[INFO] 2021-05-03 15:21:17 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 15:21:17 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 15:21:18 > Calculate Accuracies....
[INFO] 2021-05-03 15:21:24 > Calculate Accuracies....
[INFO] 2021-05-03 15:21:26 > F_8 score (Step: 10000, Using test images): 0.9519414487907855
[INFO] 2021-05-03 15:21:26 > F_1/8 score (Step: 10000, Using test images): 0.9718070135062523
[INFO] 2021-05-03 15:21:26 > FID score (Step: 10000, Using test moments): 22.28046439622983
[INFO] 2021-05-03 15:21:26 > Inception score (Step: 10000, 10000 generated images): 8.960503578186035
[INFO] 2021-05-03 15:21:26 > Best FID score (Step: 10000, Using test moments): 22.28046439622983
[INFO] 2021-05-03 15:21:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 15:23:11 > Step:   10100 Progress: 10.1% Elapsed: 3:03:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.96775 Generator_loss: 1.66779 
[INFO] 2021-05-03 15:24:52 > Step:   10200 Progress: 10.2% Elapsed: 3:05:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.83516 Generator_loss: 1.92188 
[INFO] 2021-05-03 15:26:35 > Step:   10300 Progress: 10.3% Elapsed: 3:07:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.00947 Generator_loss: 1.27032 
[INFO] 2021-05-03 15:28:19 > Step:   10400 Progress: 10.4% Elapsed: 3:08:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.94938 Generator_loss: 1.69854 
[INFO] 2021-05-03 15:30:01 > Step:   10500 Progress: 10.5% Elapsed: 3:10:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.85771 Generator_loss: 2.15176 
[INFO] 2021-05-03 15:31:44 > Step:   10600 Progress: 10.6% Elapsed: 3:12:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.04196 Generator_loss: 1.70991 
[INFO] 2021-05-03 15:33:27 > Step:   10700 Progress: 10.7% Elapsed: 3:14:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.95386 Generator_loss: 1.94283 
[INFO] 2021-05-03 15:35:10 > Step:   10800 Progress: 10.8% Elapsed: 3:15:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.9732 Generator_loss: 2.10739 
[INFO] 2021-05-03 15:36:52 > Step:   10900 Progress: 10.9% Elapsed: 3:17:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.82243 Generator_loss: 2.11951 
[INFO] 2021-05-03 15:38:36 > Step:   11000 Progress: 11.0% Elapsed: 3:19:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.17323 Generator_loss: 1.97016 
[INFO] 2021-05-03 15:40:18 > Step:   11100 Progress: 11.1% Elapsed: 3:20:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.74912 Generator_loss: 1.67244 
[INFO] 2021-05-03 15:42:01 > Step:   11200 Progress: 11.2% Elapsed: 3:22:34 temperature: 0.5 ada_p: No Discriminator_loss: 3.01952 Generator_loss: 1.43215 
[INFO] 2021-05-03 15:43:43 > Step:   11300 Progress: 11.3% Elapsed: 3:24:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.98311 Generator_loss: 1.35536 
[INFO] 2021-05-03 15:45:26 > Step:   11400 Progress: 11.4% Elapsed: 3:26:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.85219 Generator_loss: 2.00172 
[INFO] 2021-05-03 15:47:08 > Step:   11500 Progress: 11.5% Elapsed: 3:27:42 temperature: 0.5 ada_p: No Discriminator_loss: 3.01905 Generator_loss: 1.3859 
[INFO] 2021-05-03 15:48:50 > Step:   11600 Progress: 11.6% Elapsed: 3:29:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.86918 Generator_loss: 1.52495 
[INFO] 2021-05-03 15:50:33 > Step:   11700 Progress: 11.7% Elapsed: 3:31:06 temperature: 0.5 ada_p: No Discriminator_loss: 3.23848 Generator_loss: 1.02659 
[INFO] 2021-05-03 15:52:16 > Step:   11800 Progress: 11.8% Elapsed: 3:32:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.92187 Generator_loss: 1.83767 
[INFO] 2021-05-03 15:53:58 > Step:   11900 Progress: 11.9% Elapsed: 3:34:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.95686 Generator_loss: 0.976006 
[INFO] 2021-05-03 15:55:35 > Step:   12000 Progress: 12.0% Elapsed: 3:36:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.03995 Generator_loss: 1.96742 
[INFO] 2021-05-03 15:55:35 > Start Evaluation (12000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 15:55:35 > Calculating FID Score....
[INFO] 2021-05-03 15:56:06 > Calculating Inception Score....
[INFO] 2021-05-03 15:56:23 > Calculate F_beta Score....
[INFO] 2021-05-03 15:57:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 15:57:17 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 15:57:17 > Calculate Accuracies....
[INFO] 2021-05-03 15:57:24 > Calculate Accuracies....
[INFO] 2021-05-03 15:57:25 > F_8 score (Step: 12000, Using test images): 0.9718881869060862
[INFO] 2021-05-03 15:57:25 > F_1/8 score (Step: 12000, Using test images): 0.9790316938147893
[INFO] 2021-05-03 15:57:25 > FID score (Step: 12000, Using test moments): 17.692900847499743
[INFO] 2021-05-03 15:57:25 > Inception score (Step: 12000, 10000 generated images): 9.31057357788086
[INFO] 2021-05-03 15:57:25 > Best FID score (Step: 12000, Using test moments): 17.692900847499743
[INFO] 2021-05-03 15:57:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 15:59:11 > Step:   12100 Progress: 12.1% Elapsed: 3:39:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.82349 Generator_loss: 2.191 
[INFO] 2021-05-03 16:00:54 > Step:   12200 Progress: 12.2% Elapsed: 3:41:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.9661 Generator_loss: 1.82505 
[INFO] 2021-05-03 16:02:37 > Step:   12300 Progress: 12.3% Elapsed: 3:43:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.91244 Generator_loss: 1.72008 
[INFO] 2021-05-03 16:04:20 > Step:   12400 Progress: 12.4% Elapsed: 3:44:54 temperature: 0.5 ada_p: No Discriminator_loss: 3.06004 Generator_loss: 1.49312 
[INFO] 2021-05-03 16:06:04 > Step:   12500 Progress: 12.5% Elapsed: 3:46:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.91886 Generator_loss: 1.84197 
[INFO] 2021-05-03 16:07:46 > Step:   12600 Progress: 12.6% Elapsed: 3:48:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.93204 Generator_loss: 1.93185 
[INFO] 2021-05-03 16:09:29 > Step:   12700 Progress: 12.7% Elapsed: 3:50:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.79293 Generator_loss: 2.09372 
[INFO] 2021-05-03 16:11:13 > Step:   12800 Progress: 12.8% Elapsed: 3:51:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.88101 Generator_loss: 1.41424 
[INFO] 2021-05-03 16:12:57 > Step:   12900 Progress: 12.9% Elapsed: 3:53:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.99414 Generator_loss: 1.58442 
[INFO] 2021-05-03 16:14:40 > Step:   13000 Progress: 13.0% Elapsed: 3:55:13 temperature: 0.5 ada_p: No Discriminator_loss: 3.03765 Generator_loss: 2.07762 
[INFO] 2021-05-03 16:16:23 > Step:   13100 Progress: 13.1% Elapsed: 3:56:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.2751 Generator_loss: 0.812846 
[INFO] 2021-05-03 16:18:07 > Step:   13200 Progress: 13.2% Elapsed: 3:58:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.89497 Generator_loss: 1.58409 
[INFO] 2021-05-03 16:19:50 > Step:   13300 Progress: 13.3% Elapsed: 4:00:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.90775 Generator_loss: 2.25231 
[INFO] 2021-05-03 16:21:34 > Step:   13400 Progress: 13.4% Elapsed: 4:02:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.72672 Generator_loss: 2.54449 
[INFO] 2021-05-03 16:23:17 > Step:   13500 Progress: 13.5% Elapsed: 4:03:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.75883 Generator_loss: 2.19354 
[INFO] 2021-05-03 16:24:59 > Step:   13600 Progress: 13.6% Elapsed: 4:05:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.83764 Generator_loss: 1.81981 
[INFO] 2021-05-03 16:26:42 > Step:   13700 Progress: 13.7% Elapsed: 4:07:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.95199 Generator_loss: 1.53131 
[INFO] 2021-05-03 16:28:24 > Step:   13800 Progress: 13.8% Elapsed: 4:08:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.86349 Generator_loss: 1.65046 
[INFO] 2021-05-03 16:30:09 > Step:   13900 Progress: 13.9% Elapsed: 4:10:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.79584 Generator_loss: 1.57515 
[INFO] 2021-05-03 16:31:45 > Step:   14000 Progress: 14.0% Elapsed: 4:12:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.79002 Generator_loss: 1.95806 
[INFO] 2021-05-03 16:31:45 > Start Evaluation (14000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 16:31:45 > Calculating FID Score....
[INFO] 2021-05-03 16:32:18 > Calculating Inception Score....
[INFO] 2021-05-03 16:32:35 > Calculate F_beta Score....
[INFO] 2021-05-03 16:33:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 16:33:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 16:33:29 > Calculate Accuracies....
[INFO] 2021-05-03 16:33:36 > Calculate Accuracies....
[INFO] 2021-05-03 16:33:37 > F_8 score (Step: 14000, Using test images): 0.9779211458171683
[INFO] 2021-05-03 16:33:37 > F_1/8 score (Step: 14000, Using test images): 0.9852935327833037
[INFO] 2021-05-03 16:33:37 > FID score (Step: 14000, Using test moments): 15.00512045621872
[INFO] 2021-05-03 16:33:37 > Inception score (Step: 14000, 10000 generated images): 9.385473251342773
[INFO] 2021-05-03 16:33:37 > Best FID score (Step: 14000, Using test moments): 15.00512045621872
[INFO] 2021-05-03 16:33:40 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 16:35:23 > Step:   14100 Progress: 14.1% Elapsed: 4:15:57 temperature: 0.5 ada_p: No Discriminator_loss: 3.31071 Generator_loss: 1.19405 
[INFO] 2021-05-03 16:37:06 > Step:   14200 Progress: 14.2% Elapsed: 4:17:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.9322 Generator_loss: 1.79043 
[INFO] 2021-05-03 16:38:48 > Step:   14300 Progress: 14.3% Elapsed: 4:19:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.92687 Generator_loss: 1.68929 
[INFO] 2021-05-03 16:40:31 > Step:   14400 Progress: 14.4% Elapsed: 4:21:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.04994 Generator_loss: 1.17956 
[INFO] 2021-05-03 16:42:14 > Step:   14500 Progress: 14.5% Elapsed: 4:22:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.91719 Generator_loss: 2.2862 
[INFO] 2021-05-03 16:43:57 > Step:   14600 Progress: 14.6% Elapsed: 4:24:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.76388 Generator_loss: 2.00702 
[INFO] 2021-05-03 16:45:40 > Step:   14700 Progress: 14.7% Elapsed: 4:26:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.88998 Generator_loss: 1.97504 
[INFO] 2021-05-03 16:47:23 > Step:   14800 Progress: 14.8% Elapsed: 4:27:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.9665 Generator_loss: 1.71521 
[INFO] 2021-05-03 16:49:06 > Step:   14900 Progress: 14.9% Elapsed: 4:29:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.89231 Generator_loss: 1.54858 
[INFO] 2021-05-03 16:50:48 > Step:   15000 Progress: 15.0% Elapsed: 4:31:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.81364 Generator_loss: 1.70153 
[INFO] 2021-05-03 16:52:30 > Step:   15100 Progress: 15.1% Elapsed: 4:33:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.82041 Generator_loss: 1.80157 
[INFO] 2021-05-03 16:54:12 > Step:   15200 Progress: 15.2% Elapsed: 4:34:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.90781 Generator_loss: 1.96438 
[INFO] 2021-05-03 16:55:55 > Step:   15300 Progress: 15.3% Elapsed: 4:36:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.84281 Generator_loss: 2.11146 
[INFO] 2021-05-03 16:57:37 > Step:   15400 Progress: 15.4% Elapsed: 4:38:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.7176 Generator_loss: 2.00951 
[INFO] 2021-05-03 16:59:20 > Step:   15500 Progress: 15.5% Elapsed: 4:39:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.99553 Generator_loss: 1.63122 
[INFO] 2021-05-03 17:01:02 > Step:   15600 Progress: 15.6% Elapsed: 4:41:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.9129 Generator_loss: 1.93595 
[INFO] 2021-05-03 17:02:45 > Step:   15700 Progress: 15.7% Elapsed: 4:43:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.82169 Generator_loss: 2.05739 
[INFO] 2021-05-03 17:04:28 > Step:   15800 Progress: 15.8% Elapsed: 4:45:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.04682 Generator_loss: 1.16363 
[INFO] 2021-05-03 17:06:10 > Step:   15900 Progress: 15.9% Elapsed: 4:46:43 temperature: 0.5 ada_p: No Discriminator_loss: 3.0912 Generator_loss: 2.04358 
[INFO] 2021-05-03 17:07:46 > Step:   16000 Progress: 16.0% Elapsed: 4:48:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.83127 Generator_loss: 1.38376 
[INFO] 2021-05-03 17:07:46 > Start Evaluation (16000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 17:07:46 > Calculating FID Score....
[INFO] 2021-05-03 17:08:18 > Calculating Inception Score....
[INFO] 2021-05-03 17:08:35 > Calculate F_beta Score....
[INFO] 2021-05-03 17:09:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 17:09:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 17:09:29 > Calculate Accuracies....
[INFO] 2021-05-03 17:09:35 > Calculate Accuracies....
[INFO] 2021-05-03 17:09:37 > F_8 score (Step: 16000, Using test images): 0.9888994188480965
[INFO] 2021-05-03 17:09:37 > F_1/8 score (Step: 16000, Using test images): 0.9886418002486733
[INFO] 2021-05-03 17:09:37 > FID score (Step: 16000, Using test moments): 13.290676271957466
[INFO] 2021-05-03 17:09:37 > Inception score (Step: 16000, 10000 generated images): 9.481666564941406
[INFO] 2021-05-03 17:09:37 > Best FID score (Step: 16000, Using test moments): 13.290676271957466
[INFO] 2021-05-03 17:09:39 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 17:11:21 > Step:   16100 Progress: 16.1% Elapsed: 4:51:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.92489 Generator_loss: 1.58091 
[INFO] 2021-05-03 17:13:04 > Step:   16200 Progress: 16.2% Elapsed: 4:53:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.90836 Generator_loss: 2.16459 
[INFO] 2021-05-03 17:14:46 > Step:   16300 Progress: 16.3% Elapsed: 4:55:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.87128 Generator_loss: 1.49695 
[INFO] 2021-05-03 17:16:29 > Step:   16400 Progress: 16.4% Elapsed: 4:57:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.81276 Generator_loss: 2.10428 
[INFO] 2021-05-03 17:18:11 > Step:   16500 Progress: 16.5% Elapsed: 4:58:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.84971 Generator_loss: 1.84131 
[INFO] 2021-05-03 17:19:54 > Step:   16600 Progress: 16.6% Elapsed: 5:00:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.3867 Generator_loss: 0.582313 
[INFO] 2021-05-03 17:21:36 > Step:   16700 Progress: 16.7% Elapsed: 5:02:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.17962 Generator_loss: 0.78291 
[INFO] 2021-05-03 17:23:17 > Step:   16800 Progress: 16.8% Elapsed: 5:03:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.84983 Generator_loss: 1.55249 
[INFO] 2021-05-03 17:24:59 > Step:   16900 Progress: 16.9% Elapsed: 5:05:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.84627 Generator_loss: 1.71206 
[INFO] 2021-05-03 17:26:40 > Step:   17000 Progress: 17.0% Elapsed: 5:07:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.83145 Generator_loss: 1.21865 
[INFO] 2021-05-03 17:28:23 > Step:   17100 Progress: 17.1% Elapsed: 5:08:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.79177 Generator_loss: 1.93329 
[INFO] 2021-05-03 17:30:05 > Step:   17200 Progress: 17.2% Elapsed: 5:10:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.78651 Generator_loss: 1.68439 
[INFO] 2021-05-03 17:31:46 > Step:   17300 Progress: 17.3% Elapsed: 5:12:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.82494 Generator_loss: 1.68726 
[INFO] 2021-05-03 17:33:30 > Step:   17400 Progress: 17.4% Elapsed: 5:14:03 temperature: 0.5 ada_p: No Discriminator_loss: 3.05305 Generator_loss: 1.75891 
[INFO] 2021-05-03 17:35:11 > Step:   17500 Progress: 17.5% Elapsed: 5:15:45 temperature: 0.5 ada_p: No Discriminator_loss: 3.0331 Generator_loss: 1.96726 
[INFO] 2021-05-03 17:36:53 > Step:   17600 Progress: 17.6% Elapsed: 5:17:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.94864 Generator_loss: 1.76947 
[INFO] 2021-05-03 17:38:36 > Step:   17700 Progress: 17.7% Elapsed: 5:19:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.87397 Generator_loss: 1.94647 
[INFO] 2021-05-03 17:40:19 > Step:   17800 Progress: 17.8% Elapsed: 5:20:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.91378 Generator_loss: 1.38948 
[INFO] 2021-05-03 17:42:01 > Step:   17900 Progress: 17.9% Elapsed: 5:22:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.87954 Generator_loss: 1.69584 
[INFO] 2021-05-03 17:43:37 > Step:   18000 Progress: 18.0% Elapsed: 5:24:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.86962 Generator_loss: 2.16816 
[INFO] 2021-05-03 17:43:37 > Start Evaluation (18000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 17:43:37 > Calculating FID Score....
[INFO] 2021-05-03 17:44:09 > Calculating Inception Score....
[INFO] 2021-05-03 17:44:26 > Calculate F_beta Score....
[INFO] 2021-05-03 17:45:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 17:45:17 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 17:45:17 > Calculate Accuracies....
[INFO] 2021-05-03 17:45:24 > Calculate Accuracies....
[INFO] 2021-05-03 17:45:25 > F_8 score (Step: 18000, Using test images): 0.9884165895002226
[INFO] 2021-05-03 17:45:25 > F_1/8 score (Step: 18000, Using test images): 0.9883888040260601
[INFO] 2021-05-03 17:45:25 > FID score (Step: 18000, Using test moments): 12.056462358239628
[INFO] 2021-05-03 17:45:25 > Inception score (Step: 18000, 10000 generated images): 9.647417068481445
[INFO] 2021-05-03 17:45:25 > Best FID score (Step: 18000, Using test moments): 12.056462358239628
[INFO] 2021-05-03 17:45:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 17:47:11 > Step:   18100 Progress: 18.1% Elapsed: 5:27:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.86422 Generator_loss: 1.49226 
[INFO] 2021-05-03 17:48:54 > Step:   18200 Progress: 18.2% Elapsed: 5:29:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.75944 Generator_loss: 1.98219 
[INFO] 2021-05-03 17:50:36 > Step:   18300 Progress: 18.3% Elapsed: 5:31:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.95386 Generator_loss: 1.96124 
[INFO] 2021-05-03 17:52:18 > Step:   18400 Progress: 18.4% Elapsed: 5:32:52 temperature: 0.5 ada_p: No Discriminator_loss: 3.04728 Generator_loss: 1.54668 
[INFO] 2021-05-03 17:54:01 > Step:   18500 Progress: 18.5% Elapsed: 5:34:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.8129 Generator_loss: 2.65419 
[INFO] 2021-05-03 17:55:43 > Step:   18600 Progress: 18.6% Elapsed: 5:36:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.89858 Generator_loss: 1.75081 
[INFO] 2021-05-03 17:57:25 > Step:   18700 Progress: 18.7% Elapsed: 5:37:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.91685 Generator_loss: 2.05254 
[INFO] 2021-05-03 17:59:08 > Step:   18800 Progress: 18.8% Elapsed: 5:39:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.90467 Generator_loss: 1.91141 
[INFO] 2021-05-03 18:00:50 > Step:   18900 Progress: 18.9% Elapsed: 5:41:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.97641 Generator_loss: 1.26374 
[INFO] 2021-05-03 18:02:31 > Step:   19000 Progress: 19.0% Elapsed: 5:43:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.91446 Generator_loss: 2.2805 
[INFO] 2021-05-03 18:04:13 > Step:   19100 Progress: 19.1% Elapsed: 5:44:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.88933 Generator_loss: 1.76224 
[INFO] 2021-05-03 18:05:56 > Step:   19200 Progress: 19.2% Elapsed: 5:46:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.89306 Generator_loss: 1.54353 
[INFO] 2021-05-03 18:07:38 > Step:   19300 Progress: 19.3% Elapsed: 5:48:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.84414 Generator_loss: 2.18531 
[INFO] 2021-05-03 18:09:21 > Step:   19400 Progress: 19.4% Elapsed: 5:49:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.94869 Generator_loss: 1.08528 
[INFO] 2021-05-03 18:11:03 > Step:   19500 Progress: 19.5% Elapsed: 5:51:37 temperature: 0.5 ada_p: No Discriminator_loss: 3.00729 Generator_loss: 2.12139 
[INFO] 2021-05-03 18:12:47 > Step:   19600 Progress: 19.6% Elapsed: 5:53:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.92947 Generator_loss: 1.87726 
[INFO] 2021-05-03 18:14:30 > Step:   19700 Progress: 19.7% Elapsed: 5:55:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.81674 Generator_loss: 1.6756 
[INFO] 2021-05-03 18:16:13 > Step:   19800 Progress: 19.8% Elapsed: 5:56:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.90903 Generator_loss: 1.93049 
[INFO] 2021-05-03 18:17:56 > Step:   19900 Progress: 19.9% Elapsed: 5:58:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.91786 Generator_loss: 1.72008 
[INFO] 2021-05-03 18:19:32 > Step:   20000 Progress: 20.0% Elapsed: 6:00:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.8809 Generator_loss: 1.76284 
[INFO] 2021-05-03 18:19:32 > Start Evaluation (20000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 18:19:32 > Calculating FID Score....
[INFO] 2021-05-03 18:20:04 > Calculating Inception Score....
[INFO] 2021-05-03 18:20:21 > Calculate F_beta Score....
[INFO] 2021-05-03 18:21:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 18:21:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 18:21:17 > Calculate Accuracies....
[INFO] 2021-05-03 18:21:23 > Calculate Accuracies....
[INFO] 2021-05-03 18:21:25 > F_8 score (Step: 20000, Using test images): 0.9902881901559396
[INFO] 2021-05-03 18:21:25 > F_1/8 score (Step: 20000, Using test images): 0.9906012023230679
[INFO] 2021-05-03 18:21:25 > FID score (Step: 20000, Using test moments): 11.36066199328286
[INFO] 2021-05-03 18:21:25 > Inception score (Step: 20000, 10000 generated images): 9.68423843383789
[INFO] 2021-05-03 18:21:25 > Best FID score (Step: 20000, Using test moments): 11.36066199328286
[INFO] 2021-05-03 18:21:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 18:23:10 > Step:   20100 Progress: 20.1% Elapsed: 6:03:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.84909 Generator_loss: 1.80137 
[INFO] 2021-05-03 18:24:52 > Step:   20200 Progress: 20.2% Elapsed: 6:05:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.88659 Generator_loss: 2.16129 
[INFO] 2021-05-03 18:26:36 > Step:   20300 Progress: 20.3% Elapsed: 6:07:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.86865 Generator_loss: 1.36147 
[INFO] 2021-05-03 18:28:19 > Step:   20400 Progress: 20.4% Elapsed: 6:08:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86623 Generator_loss: 1.83583 
[INFO] 2021-05-03 18:30:02 > Step:   20500 Progress: 20.5% Elapsed: 6:10:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.87333 Generator_loss: 1.28429 
[INFO] 2021-05-03 18:31:46 > Step:   20600 Progress: 20.6% Elapsed: 6:12:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.99397 Generator_loss: 1.66656 
[INFO] 2021-05-03 18:33:28 > Step:   20700 Progress: 20.7% Elapsed: 6:14:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.87057 Generator_loss: 2.10126 
[INFO] 2021-05-03 18:35:12 > Step:   20800 Progress: 20.8% Elapsed: 6:15:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.84353 Generator_loss: 1.34613 
[INFO] 2021-05-03 18:36:55 > Step:   20900 Progress: 20.9% Elapsed: 6:17:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.77886 Generator_loss: 1.45744 
[INFO] 2021-05-03 18:38:38 > Step:   21000 Progress: 21.0% Elapsed: 6:19:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.91403 Generator_loss: 1.91718 
[INFO] 2021-05-03 18:40:21 > Step:   21100 Progress: 21.1% Elapsed: 6:20:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.69162 Generator_loss: 1.66069 
[INFO] 2021-05-03 18:42:05 > Step:   21200 Progress: 21.2% Elapsed: 6:22:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.94512 Generator_loss: 1.86365 
[INFO] 2021-05-03 18:43:48 > Step:   21300 Progress: 21.3% Elapsed: 6:24:22 temperature: 0.5 ada_p: No Discriminator_loss: 3.36557 Generator_loss: 0.775696 
[INFO] 2021-05-03 18:45:32 > Step:   21400 Progress: 21.4% Elapsed: 6:26:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.86608 Generator_loss: 1.74824 
[INFO] 2021-05-03 18:47:15 > Step:   21500 Progress: 21.5% Elapsed: 6:27:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.7785 Generator_loss: 2.04057 
[INFO] 2021-05-03 18:48:58 > Step:   21600 Progress: 21.6% Elapsed: 6:29:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.79822 Generator_loss: 1.76436 
[INFO] 2021-05-03 18:50:41 > Step:   21700 Progress: 21.7% Elapsed: 6:31:15 temperature: 0.5 ada_p: No Discriminator_loss: 3.07406 Generator_loss: 1.70945 
[INFO] 2021-05-03 18:52:25 > Step:   21800 Progress: 21.8% Elapsed: 6:32:58 temperature: 0.5 ada_p: No Discriminator_loss: 3.01363 Generator_loss: 2.29829 
[INFO] 2021-05-03 18:54:07 > Step:   21900 Progress: 21.9% Elapsed: 6:34:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.8647 Generator_loss: 1.64955 
[INFO] 2021-05-03 18:55:44 > Step:   22000 Progress: 22.0% Elapsed: 6:36:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.88947 Generator_loss: 1.40603 
[INFO] 2021-05-03 18:55:44 > Start Evaluation (22000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 18:55:44 > Calculating FID Score....
[INFO] 2021-05-03 18:56:16 > Calculating Inception Score....
[INFO] 2021-05-03 18:56:33 > Calculate F_beta Score....
[INFO] 2021-05-03 18:57:26 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 18:57:27 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 18:57:27 > Calculate Accuracies....
[INFO] 2021-05-03 18:57:34 > Calculate Accuracies....
[INFO] 2021-05-03 18:57:35 > F_8 score (Step: 22000, Using test images): 0.9918162990177786
[INFO] 2021-05-03 18:57:35 > F_1/8 score (Step: 22000, Using test images): 0.9924553742901333
[INFO] 2021-05-03 18:57:35 > FID score (Step: 22000, Using test moments): 10.582614055282363
[INFO] 2021-05-03 18:57:35 > Inception score (Step: 22000, 10000 generated images): 9.880373001098633
[INFO] 2021-05-03 18:57:35 > Best FID score (Step: 22000, Using test moments): 10.582614055282363
[INFO] 2021-05-03 18:57:38 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 18:59:21 > Step:   22100 Progress: 22.1% Elapsed: 6:39:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.85003 Generator_loss: 2.29427 
[INFO] 2021-05-03 19:01:04 > Step:   22200 Progress: 22.2% Elapsed: 6:41:38 temperature: 0.5 ada_p: No Discriminator_loss: 3.02742 Generator_loss: 1.47624 
[INFO] 2021-05-03 19:02:48 > Step:   22300 Progress: 22.3% Elapsed: 6:43:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.9153 Generator_loss: 1.93513 
[INFO] 2021-05-03 19:04:32 > Step:   22400 Progress: 22.4% Elapsed: 6:45:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.92057 Generator_loss: 1.82538 
[INFO] 2021-05-03 19:06:16 > Step:   22500 Progress: 22.5% Elapsed: 6:46:50 temperature: 0.5 ada_p: No Discriminator_loss: 3.01741 Generator_loss: 1.31799 
[INFO] 2021-05-03 19:07:59 > Step:   22600 Progress: 22.6% Elapsed: 6:48:32 temperature: 0.5 ada_p: No Discriminator_loss: 3.07365 Generator_loss: 1.07497 
[INFO] 2021-05-03 19:09:42 > Step:   22700 Progress: 22.7% Elapsed: 6:50:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.05561 Generator_loss: 1.47138 
[INFO] 2021-05-03 19:11:25 > Step:   22800 Progress: 22.8% Elapsed: 6:51:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.90607 Generator_loss: 1.79829 
[INFO] 2021-05-03 19:13:08 > Step:   22900 Progress: 22.9% Elapsed: 6:53:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.97583 Generator_loss: 1.70653 
[INFO] 2021-05-03 19:14:51 > Step:   23000 Progress: 23.0% Elapsed: 6:55:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.94984 Generator_loss: 1.87694 
[INFO] 2021-05-03 19:16:34 > Step:   23100 Progress: 23.1% Elapsed: 6:57:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.84621 Generator_loss: 2.03131 
[INFO] 2021-05-03 19:18:18 > Step:   23200 Progress: 23.2% Elapsed: 6:58:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.92686 Generator_loss: 1.55407 
[INFO] 2021-05-03 19:20:01 > Step:   23300 Progress: 23.3% Elapsed: 7:00:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.07937 Generator_loss: 0.917865 
[INFO] 2021-05-03 19:21:45 > Step:   23400 Progress: 23.4% Elapsed: 7:02:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.01178 Generator_loss: 1.32159 
[INFO] 2021-05-03 19:23:29 > Step:   23500 Progress: 23.5% Elapsed: 7:04:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.79821 Generator_loss: 1.65222 
[INFO] 2021-05-03 19:25:11 > Step:   23600 Progress: 23.6% Elapsed: 7:05:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.94723 Generator_loss: 1.65933 
[INFO] 2021-05-03 19:26:55 > Step:   23700 Progress: 23.7% Elapsed: 7:07:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.791 Generator_loss: 1.64848 
[INFO] 2021-05-03 19:28:39 > Step:   23800 Progress: 23.8% Elapsed: 7:09:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.79777 Generator_loss: 2.01891 
[INFO] 2021-05-03 19:30:20 > Step:   23900 Progress: 23.9% Elapsed: 7:10:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.82312 Generator_loss: 1.76524 
[INFO] 2021-05-03 19:31:57 > Step:   24000 Progress: 24.0% Elapsed: 7:12:30 temperature: 0.5 ada_p: No Discriminator_loss: 3.04995 Generator_loss: 1.26994 
[INFO] 2021-05-03 19:31:57 > Start Evaluation (24000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 19:31:57 > Calculating FID Score....
[INFO] 2021-05-03 19:32:29 > Calculating Inception Score....
[INFO] 2021-05-03 19:32:46 > Calculate F_beta Score....
[INFO] 2021-05-03 19:33:40 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 19:33:40 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 19:33:41 > Calculate Accuracies....
[INFO] 2021-05-03 19:33:48 > Calculate Accuracies....
[INFO] 2021-05-03 19:33:49 > F_8 score (Step: 24000, Using test images): 0.9875098093328065
[INFO] 2021-05-03 19:33:49 > F_1/8 score (Step: 24000, Using test images): 0.9937725242636213
[INFO] 2021-05-03 19:33:49 > FID score (Step: 24000, Using test moments): 10.096307697242139
[INFO] 2021-05-03 19:33:49 > Inception score (Step: 24000, 10000 generated images): 9.777438163757324
[INFO] 2021-05-03 19:33:49 > Best FID score (Step: 24000, Using test moments): 10.096307697242139
[INFO] 2021-05-03 19:33:52 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 19:35:35 > Step:   24100 Progress: 24.1% Elapsed: 7:16:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.74665 Generator_loss: 2.50505 
[INFO] 2021-05-03 19:37:19 > Step:   24200 Progress: 24.2% Elapsed: 7:17:53 temperature: 0.5 ada_p: No Discriminator_loss: 3.13665 Generator_loss: 1.09207 
[INFO] 2021-05-03 19:39:04 > Step:   24300 Progress: 24.3% Elapsed: 7:19:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.88333 Generator_loss: 1.94317 
[INFO] 2021-05-03 19:40:46 > Step:   24400 Progress: 24.4% Elapsed: 7:21:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.76188 Generator_loss: 1.67182 
[INFO] 2021-05-03 19:42:30 > Step:   24500 Progress: 24.5% Elapsed: 7:23:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.92863 Generator_loss: 2.2849 
[INFO] 2021-05-03 19:44:13 > Step:   24600 Progress: 24.6% Elapsed: 7:24:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.83918 Generator_loss: 1.84116 
[INFO] 2021-05-03 19:45:55 > Step:   24700 Progress: 24.7% Elapsed: 7:26:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.88833 Generator_loss: 1.44002 
[INFO] 2021-05-03 19:47:39 > Step:   24800 Progress: 24.8% Elapsed: 7:28:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.76278 Generator_loss: 1.53756 
[INFO] 2021-05-03 19:49:22 > Step:   24900 Progress: 24.9% Elapsed: 7:29:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.75711 Generator_loss: 2.0907 
[INFO] 2021-05-03 19:51:05 > Step:   25000 Progress: 25.0% Elapsed: 7:31:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.03667 Generator_loss: 1.80046 
[INFO] 2021-05-03 19:52:48 > Step:   25100 Progress: 25.1% Elapsed: 7:33:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.8371 Generator_loss: 1.25266 
[INFO] 2021-05-03 19:54:32 > Step:   25200 Progress: 25.2% Elapsed: 7:35:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.83655 Generator_loss: 1.9699 
[INFO] 2021-05-03 19:56:15 > Step:   25300 Progress: 25.3% Elapsed: 7:36:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.02243 Generator_loss: 1.65417 
[INFO] 2021-05-03 19:57:58 > Step:   25400 Progress: 25.4% Elapsed: 7:38:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.74441 Generator_loss: 2.60748 
[INFO] 2021-05-03 19:59:42 > Step:   25500 Progress: 25.5% Elapsed: 7:40:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.96532 Generator_loss: 2.00408 
[INFO] 2021-05-03 20:01:26 > Step:   25600 Progress: 25.6% Elapsed: 7:42:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.82601 Generator_loss: 1.66879 
[INFO] 2021-05-03 20:03:08 > Step:   25700 Progress: 25.7% Elapsed: 7:43:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.79551 Generator_loss: 1.92444 
[INFO] 2021-05-03 20:04:51 > Step:   25800 Progress: 25.8% Elapsed: 7:45:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.98314 Generator_loss: 1.6843 
[INFO] 2021-05-03 20:06:33 > Step:   25900 Progress: 25.9% Elapsed: 7:47:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.94314 Generator_loss: 1.33322 
[INFO] 2021-05-03 20:08:09 > Step:   26000 Progress: 26.0% Elapsed: 7:48:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.89011 Generator_loss: 1.94724 
[INFO] 2021-05-03 20:08:09 > Start Evaluation (26000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 20:08:09 > Calculating FID Score....
[INFO] 2021-05-03 20:08:41 > Calculating Inception Score....
[INFO] 2021-05-03 20:08:58 > Calculate F_beta Score....
[INFO] 2021-05-03 20:09:52 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 20:09:52 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 20:09:53 > Calculate Accuracies....
[INFO] 2021-05-03 20:10:00 > Calculate Accuracies....
[INFO] 2021-05-03 20:10:01 > F_8 score (Step: 26000, Using test images): 0.9928606206529641
[INFO] 2021-05-03 20:10:01 > F_1/8 score (Step: 26000, Using test images): 0.994886842690767
[INFO] 2021-05-03 20:10:01 > FID score (Step: 26000, Using test moments): 9.807512725943752
[INFO] 2021-05-03 20:10:01 > Inception score (Step: 26000, 10000 generated images): 10.042057037353516
[INFO] 2021-05-03 20:10:01 > Best FID score (Step: 26000, Using test moments): 9.807512725943752
[INFO] 2021-05-03 20:10:04 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 20:11:47 > Step:   26100 Progress: 26.1% Elapsed: 7:52:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.93333 Generator_loss: 1.85581 
[INFO] 2021-05-03 20:13:31 > Step:   26200 Progress: 26.2% Elapsed: 7:54:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.79216 Generator_loss: 2.37909 
[INFO] 2021-05-03 20:15:15 > Step:   26300 Progress: 26.3% Elapsed: 7:55:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.97273 Generator_loss: 1.90267 
[INFO] 2021-05-03 20:16:58 > Step:   26400 Progress: 26.4% Elapsed: 7:57:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.89428 Generator_loss: 2.19331 
[INFO] 2021-05-03 20:18:40 > Step:   26500 Progress: 26.5% Elapsed: 7:59:14 temperature: 0.5 ada_p: No Discriminator_loss: 3.11907 Generator_loss: 1.1727 
[INFO] 2021-05-03 20:20:24 > Step:   26600 Progress: 26.6% Elapsed: 8:00:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.90074 Generator_loss: 1.85437 
[INFO] 2021-05-03 20:22:06 > Step:   26700 Progress: 26.7% Elapsed: 8:02:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.93198 Generator_loss: 1.24262 
[INFO] 2021-05-03 20:23:49 > Step:   26800 Progress: 26.8% Elapsed: 8:04:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.79121 Generator_loss: 1.93891 
[INFO] 2021-05-03 20:25:32 > Step:   26900 Progress: 26.9% Elapsed: 8:06:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.91778 Generator_loss: 1.64044 
[INFO] 2021-05-03 20:27:16 > Step:   27000 Progress: 27.0% Elapsed: 8:07:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.8494 Generator_loss: 1.64847 
[INFO] 2021-05-03 20:28:59 > Step:   27100 Progress: 27.1% Elapsed: 8:09:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.80806 Generator_loss: 2.00209 
[INFO] 2021-05-03 20:30:41 > Step:   27200 Progress: 27.2% Elapsed: 8:11:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.8537 Generator_loss: 1.56115 
[INFO] 2021-05-03 20:32:24 > Step:   27300 Progress: 27.3% Elapsed: 8:12:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.76936 Generator_loss: 1.72934 
[INFO] 2021-05-03 20:34:09 > Step:   27400 Progress: 27.4% Elapsed: 8:14:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.83365 Generator_loss: 1.47752 
[INFO] 2021-05-03 20:35:53 > Step:   27500 Progress: 27.5% Elapsed: 8:16:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.76433 Generator_loss: 2.13498 
[INFO] 2021-05-03 20:37:37 > Step:   27600 Progress: 27.6% Elapsed: 8:18:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.86049 Generator_loss: 1.72155 
[INFO] 2021-05-03 20:39:22 > Step:   27700 Progress: 27.7% Elapsed: 8:19:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.88666 Generator_loss: 1.15663 
[INFO] 2021-05-03 20:41:05 > Step:   27800 Progress: 27.8% Elapsed: 8:21:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.90634 Generator_loss: 1.95894 
[INFO] 2021-05-03 20:42:48 > Step:   27900 Progress: 27.9% Elapsed: 8:23:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.89503 Generator_loss: 1.77088 
[INFO] 2021-05-03 20:44:25 > Step:   28000 Progress: 28.0% Elapsed: 8:24:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.97404 Generator_loss: 1.39222 
[INFO] 2021-05-03 20:44:25 > Start Evaluation (28000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 20:44:25 > Calculating FID Score....
[INFO] 2021-05-03 20:44:58 > Calculating Inception Score....
[INFO] 2021-05-03 20:45:15 > Calculate F_beta Score....
[INFO] 2021-05-03 20:46:09 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 20:46:09 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 20:46:10 > Calculate Accuracies....
[INFO] 2021-05-03 20:46:16 > Calculate Accuracies....
[INFO] 2021-05-03 20:46:18 > F_8 score (Step: 28000, Using test images): 0.9915584830218613
[INFO] 2021-05-03 20:46:18 > F_1/8 score (Step: 28000, Using test images): 0.9947314687425907
[INFO] 2021-05-03 20:46:18 > FID score (Step: 28000, Using test moments): 9.525091229672682
[INFO] 2021-05-03 20:46:18 > Inception score (Step: 28000, 10000 generated images): 9.82794189453125
[INFO] 2021-05-03 20:46:18 > Best FID score (Step: 28000, Using test moments): 9.525091229672682
[INFO] 2021-05-03 20:46:20 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 20:48:05 > Step:   28100 Progress: 28.1% Elapsed: 8:28:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.85816 Generator_loss: 2.19695 
[INFO] 2021-05-03 20:49:48 > Step:   28200 Progress: 28.2% Elapsed: 8:30:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.92986 Generator_loss: 2.05046 
[INFO] 2021-05-03 20:51:32 > Step:   28300 Progress: 28.3% Elapsed: 8:32:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.81833 Generator_loss: 2.19544 
[INFO] 2021-05-03 20:53:17 > Step:   28400 Progress: 28.4% Elapsed: 8:33:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.82447 Generator_loss: 1.73851 
[INFO] 2021-05-03 20:55:00 > Step:   28500 Progress: 28.5% Elapsed: 8:35:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.97325 Generator_loss: 1.84556 
[INFO] 2021-05-03 20:56:44 > Step:   28600 Progress: 28.6% Elapsed: 8:37:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.03801 Generator_loss: 1.37432 
[INFO] 2021-05-03 20:58:27 > Step:   28700 Progress: 28.7% Elapsed: 8:39:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.81017 Generator_loss: 1.40988 
[INFO] 2021-05-03 21:00:11 > Step:   28800 Progress: 28.8% Elapsed: 8:40:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.87272 Generator_loss: 1.31629 
[INFO] 2021-05-03 21:01:54 > Step:   28900 Progress: 28.9% Elapsed: 8:42:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.77793 Generator_loss: 1.68156 
[INFO] 2021-05-03 21:03:38 > Step:   29000 Progress: 29.0% Elapsed: 8:44:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.84051 Generator_loss: 1.77336 
[INFO] 2021-05-03 21:05:21 > Step:   29100 Progress: 29.1% Elapsed: 8:45:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.84496 Generator_loss: 2.23083 
[INFO] 2021-05-03 21:07:04 > Step:   29200 Progress: 29.2% Elapsed: 8:47:38 temperature: 0.5 ada_p: No Discriminator_loss: 3.10908 Generator_loss: 1.47758 
[INFO] 2021-05-03 21:08:47 > Step:   29300 Progress: 29.3% Elapsed: 8:49:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.79249 Generator_loss: 1.95591 
[INFO] 2021-05-03 21:10:31 > Step:   29400 Progress: 29.4% Elapsed: 8:51:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.99662 Generator_loss: 1.58461 
[INFO] 2021-05-03 21:12:15 > Step:   29500 Progress: 29.5% Elapsed: 8:52:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.74025 Generator_loss: 2.07281 
[INFO] 2021-05-03 21:13:59 > Step:   29600 Progress: 29.6% Elapsed: 8:54:33 temperature: 0.5 ada_p: No Discriminator_loss: 3.03699 Generator_loss: 1.77822 
[INFO] 2021-05-03 21:15:42 > Step:   29700 Progress: 29.7% Elapsed: 8:56:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.95256 Generator_loss: 2.25115 
[INFO] 2021-05-03 21:17:25 > Step:   29800 Progress: 29.8% Elapsed: 8:57:59 temperature: 0.5 ada_p: No Discriminator_loss: 3.00417 Generator_loss: 1.22504 
[INFO] 2021-05-03 21:19:05 > Step:   29900 Progress: 29.9% Elapsed: 8:59:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.77328 Generator_loss: 1.84517 
[INFO] 2021-05-03 21:20:42 > Step:   30000 Progress: 30.0% Elapsed: 9:01:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.97132 Generator_loss: 1.53883 
[INFO] 2021-05-03 21:20:42 > Start Evaluation (30000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 21:20:43 > Calculating FID Score....
[INFO] 2021-05-03 21:21:15 > Calculating Inception Score....
[INFO] 2021-05-03 21:21:32 > Calculate F_beta Score....
[INFO] 2021-05-03 21:22:26 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 21:22:27 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 21:22:27 > Calculate Accuracies....
[INFO] 2021-05-03 21:22:34 > Calculate Accuracies....
[INFO] 2021-05-03 21:22:35 > F_8 score (Step: 30000, Using test images): 0.991749210523626
[INFO] 2021-05-03 21:22:35 > F_1/8 score (Step: 30000, Using test images): 0.9945295948558269
[INFO] 2021-05-03 21:22:36 > FID score (Step: 30000, Using test moments): 9.146346817023073
[INFO] 2021-05-03 21:22:36 > Inception score (Step: 30000, 10000 generated images): 9.86757755279541
[INFO] 2021-05-03 21:22:36 > Best FID score (Step: 30000, Using test moments): 9.146346817023073
[INFO] 2021-05-03 21:22:38 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 21:24:21 > Step:   30100 Progress: 30.1% Elapsed: 9:04:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.80709 Generator_loss: 2.32333 
[INFO] 2021-05-03 21:26:04 > Step:   30200 Progress: 30.2% Elapsed: 9:06:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.84805 Generator_loss: 1.84572 
[INFO] 2021-05-03 21:27:47 > Step:   30300 Progress: 30.3% Elapsed: 9:08:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.7517 Generator_loss: 1.47868 
[INFO] 2021-05-03 21:29:30 > Step:   30400 Progress: 30.4% Elapsed: 9:10:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.89072 Generator_loss: 1.63094 
[INFO] 2021-05-03 21:31:14 > Step:   30500 Progress: 30.5% Elapsed: 9:11:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.8967 Generator_loss: 1.70377 
[INFO] 2021-05-03 21:32:57 > Step:   30600 Progress: 30.6% Elapsed: 9:13:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.80991 Generator_loss: 1.7733 
[INFO] 2021-05-03 21:34:40 > Step:   30700 Progress: 30.7% Elapsed: 9:15:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.97254 Generator_loss: 1.51084 
[INFO] 2021-05-03 21:36:23 > Step:   30800 Progress: 30.8% Elapsed: 9:16:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.32911 Generator_loss: 0.968938 
[INFO] 2021-05-03 21:38:06 > Step:   30900 Progress: 30.9% Elapsed: 9:18:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.92284 Generator_loss: 1.65476 
[INFO] 2021-05-03 21:39:49 > Step:   31000 Progress: 31.0% Elapsed: 9:20:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.92503 Generator_loss: 1.74448 
[INFO] 2021-05-03 21:41:32 > Step:   31100 Progress: 31.1% Elapsed: 9:22:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.87432 Generator_loss: 1.98735 
[INFO] 2021-05-03 21:43:15 > Step:   31200 Progress: 31.2% Elapsed: 9:23:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.85391 Generator_loss: 1.94998 
[INFO] 2021-05-03 21:44:59 > Step:   31300 Progress: 31.3% Elapsed: 9:25:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.7975 Generator_loss: 1.74411 
[INFO] 2021-05-03 21:46:43 > Step:   31400 Progress: 31.4% Elapsed: 9:27:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.05195 Generator_loss: 1.35661 
[INFO] 2021-05-03 21:48:26 > Step:   31500 Progress: 31.5% Elapsed: 9:28:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.91867 Generator_loss: 1.46245 
[INFO] 2021-05-03 21:50:10 > Step:   31600 Progress: 31.6% Elapsed: 9:30:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.74508 Generator_loss: 1.60132 
[INFO] 2021-05-03 21:51:53 > Step:   31700 Progress: 31.7% Elapsed: 9:32:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.03694 Generator_loss: 1.63648 
[INFO] 2021-05-03 21:53:35 > Step:   31800 Progress: 31.8% Elapsed: 9:34:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.80881 Generator_loss: 2.13047 
[INFO] 2021-05-03 21:55:16 > Step:   31900 Progress: 31.9% Elapsed: 9:35:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.84071 Generator_loss: 1.684 
[INFO] 2021-05-03 21:56:54 > Step:   32000 Progress: 32.0% Elapsed: 9:37:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.94511 Generator_loss: 1.62662 
[INFO] 2021-05-03 21:56:54 > Start Evaluation (32000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 21:56:54 > Calculating FID Score....
[INFO] 2021-05-03 21:57:26 > Calculating Inception Score....
[INFO] 2021-05-03 21:57:43 > Calculate F_beta Score....
[INFO] 2021-05-03 21:58:37 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 21:58:37 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 21:58:38 > Calculate Accuracies....
[INFO] 2021-05-03 21:58:44 > Calculate Accuracies....
[INFO] 2021-05-03 21:58:46 > F_8 score (Step: 32000, Using test images): 0.99411072852684
[INFO] 2021-05-03 21:58:46 > F_1/8 score (Step: 32000, Using test images): 0.9938931637571377
[INFO] 2021-05-03 21:58:46 > FID score (Step: 32000, Using test moments): 8.914024108206888
[INFO] 2021-05-03 21:58:46 > Inception score (Step: 32000, 10000 generated images): 9.899779319763184
[INFO] 2021-05-03 21:58:46 > Best FID score (Step: 32000, Using test moments): 8.914024108206888
[INFO] 2021-05-03 21:58:49 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 22:00:32 > Step:   32100 Progress: 32.1% Elapsed: 9:41:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.62043 Generator_loss: 1.94639 
[INFO] 2021-05-03 22:02:16 > Step:   32200 Progress: 32.2% Elapsed: 9:42:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.92375 Generator_loss: 1.22397 
[INFO] 2021-05-03 22:04:00 > Step:   32300 Progress: 32.3% Elapsed: 9:44:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.85151 Generator_loss: 1.87089 
[INFO] 2021-05-03 22:05:44 > Step:   32400 Progress: 32.4% Elapsed: 9:46:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.78281 Generator_loss: 2.48795 
[INFO] 2021-05-03 22:07:28 > Step:   32500 Progress: 32.5% Elapsed: 9:48:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.74423 Generator_loss: 2.3335 
[INFO] 2021-05-03 22:09:11 > Step:   32600 Progress: 32.6% Elapsed: 9:49:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.72257 Generator_loss: 2.25549 
[INFO] 2021-05-03 22:10:55 > Step:   32700 Progress: 32.7% Elapsed: 9:51:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.93799 Generator_loss: 2.00083 
[INFO] 2021-05-03 22:12:38 > Step:   32800 Progress: 32.8% Elapsed: 9:53:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.71725 Generator_loss: 1.81098 
[INFO] 2021-05-03 22:14:21 > Step:   32900 Progress: 32.9% Elapsed: 9:54:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.82579 Generator_loss: 2.11523 
[INFO] 2021-05-03 22:16:04 > Step:   33000 Progress: 33.0% Elapsed: 9:56:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.80499 Generator_loss: 1.94916 
[INFO] 2021-05-03 22:17:48 > Step:   33100 Progress: 33.1% Elapsed: 9:58:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.97631 Generator_loss: 1.63986 
[INFO] 2021-05-03 22:19:31 > Step:   33200 Progress: 33.2% Elapsed: 10:00:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.88732 Generator_loss: 1.96189 
[INFO] 2021-05-03 22:21:14 > Step:   33300 Progress: 33.3% Elapsed: 10:01:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.76895 Generator_loss: 1.4064 
[INFO] 2021-05-03 22:22:58 > Step:   33400 Progress: 33.4% Elapsed: 10:03:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.83087 Generator_loss: 1.5012 
[INFO] 2021-05-03 22:24:41 > Step:   33500 Progress: 33.5% Elapsed: 10:05:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.94802 Generator_loss: 1.9676 
[INFO] 2021-05-03 22:26:24 > Step:   33600 Progress: 33.6% Elapsed: 10:06:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.80527 Generator_loss: 2.07311 
[INFO] 2021-05-03 22:28:08 > Step:   33700 Progress: 33.7% Elapsed: 10:08:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.79112 Generator_loss: 1.95205 
[INFO] 2021-05-03 22:29:51 > Step:   33800 Progress: 33.8% Elapsed: 10:10:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.77092 Generator_loss: 1.96705 
[INFO] 2021-05-03 22:31:32 > Step:   33900 Progress: 33.9% Elapsed: 10:12:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.97524 Generator_loss: 1.74491 
[INFO] 2021-05-03 22:33:09 > Step:   34000 Progress: 34.0% Elapsed: 10:13:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.95933 Generator_loss: 1.43745 
[INFO] 2021-05-03 22:33:09 > Start Evaluation (34000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 22:33:09 > Calculating FID Score....
[INFO] 2021-05-03 22:33:42 > Calculating Inception Score....
[INFO] 2021-05-03 22:33:59 > Calculate F_beta Score....
[INFO] 2021-05-03 22:34:50 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 22:34:51 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 22:34:52 > Calculate Accuracies....
[INFO] 2021-05-03 22:35:00 > Calculate Accuracies....
[INFO] 2021-05-03 22:35:01 > F_8 score (Step: 34000, Using test images): 0.9922006426307503
[INFO] 2021-05-03 22:35:01 > F_1/8 score (Step: 34000, Using test images): 0.9950525582899536
[INFO] 2021-05-03 22:35:01 > FID score (Step: 34000, Using test moments): 8.61310438655795
[INFO] 2021-05-03 22:35:01 > Inception score (Step: 34000, 10000 generated images): 9.9215087890625
[INFO] 2021-05-03 22:35:01 > Best FID score (Step: 34000, Using test moments): 8.61310438655795
[INFO] 2021-05-03 22:35:04 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 22:36:47 > Step:   34100 Progress: 34.1% Elapsed: 10:17:20 temperature: 0.5 ada_p: No Discriminator_loss: 3.0257 Generator_loss: 2.01795 
[INFO] 2021-05-03 22:38:29 > Step:   34200 Progress: 34.2% Elapsed: 10:19:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.71328 Generator_loss: 2.09326 
[INFO] 2021-05-03 22:40:13 > Step:   34300 Progress: 34.3% Elapsed: 10:20:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.05002 Generator_loss: 1.90926 
[INFO] 2021-05-03 22:41:57 > Step:   34400 Progress: 34.4% Elapsed: 10:22:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.91083 Generator_loss: 1.76354 
[INFO] 2021-05-03 22:43:41 > Step:   34500 Progress: 34.5% Elapsed: 10:24:15 temperature: 0.5 ada_p: No Discriminator_loss: 3.00502 Generator_loss: 1.51779 
[INFO] 2021-05-03 22:45:24 > Step:   34600 Progress: 34.6% Elapsed: 10:25:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.89268 Generator_loss: 1.39057 
[INFO] 2021-05-03 22:47:09 > Step:   34700 Progress: 34.7% Elapsed: 10:27:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.77834 Generator_loss: 1.65354 
[INFO] 2021-05-03 22:48:53 > Step:   34800 Progress: 34.8% Elapsed: 10:29:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.95004 Generator_loss: 1.71062 
[INFO] 2021-05-03 22:50:36 > Step:   34900 Progress: 34.9% Elapsed: 10:31:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.88967 Generator_loss: 1.25799 
[INFO] 2021-05-03 22:52:20 > Step:   35000 Progress: 35.0% Elapsed: 10:32:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.74849 Generator_loss: 1.97777 
[INFO] 2021-05-03 22:54:03 > Step:   35100 Progress: 35.1% Elapsed: 10:34:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.91043 Generator_loss: 2.00039 
[INFO] 2021-05-03 22:55:47 > Step:   35200 Progress: 35.2% Elapsed: 10:36:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.88289 Generator_loss: 2.01854 
[INFO] 2021-05-03 22:57:30 > Step:   35300 Progress: 35.3% Elapsed: 10:38:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.99012 Generator_loss: 1.55947 
[INFO] 2021-05-03 22:59:12 > Step:   35400 Progress: 35.4% Elapsed: 10:39:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.97713 Generator_loss: 0.756559 
[INFO] 2021-05-03 23:00:55 > Step:   35500 Progress: 35.5% Elapsed: 10:41:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.86467 Generator_loss: 1.3959 
[INFO] 2021-05-03 23:02:38 > Step:   35600 Progress: 35.6% Elapsed: 10:43:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.80358 Generator_loss: 1.94725 
[INFO] 2021-05-03 23:04:21 > Step:   35700 Progress: 35.7% Elapsed: 10:44:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.92689 Generator_loss: 2.44666 
[INFO] 2021-05-03 23:06:03 > Step:   35800 Progress: 35.8% Elapsed: 10:46:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.94637 Generator_loss: 1.97063 
[INFO] 2021-05-03 23:07:43 > Step:   35900 Progress: 35.9% Elapsed: 10:48:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.80927 Generator_loss: 2.17507 
[INFO] 2021-05-03 23:09:21 > Step:   36000 Progress: 36.0% Elapsed: 10:49:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.83728 Generator_loss: 1.52407 
[INFO] 2021-05-03 23:09:21 > Start Evaluation (36000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 23:09:21 > Calculating FID Score....
[INFO] 2021-05-03 23:09:53 > Calculating Inception Score....
[INFO] 2021-05-03 23:10:10 > Calculate F_beta Score....
[INFO] 2021-05-03 23:11:02 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 23:11:03 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 23:11:03 > Calculate Accuracies....
[INFO] 2021-05-03 23:11:10 > Calculate Accuracies....
[INFO] 2021-05-03 23:11:12 > F_8 score (Step: 36000, Using test images): 0.9942560113539379
[INFO] 2021-05-03 23:11:12 > F_1/8 score (Step: 36000, Using test images): 0.9931067504751686
[INFO] 2021-05-03 23:11:12 > FID score (Step: 36000, Using test moments): 8.361293250762856
[INFO] 2021-05-03 23:11:12 > Inception score (Step: 36000, 10000 generated images): 10.160737037658691
[INFO] 2021-05-03 23:11:12 > Best FID score (Step: 36000, Using test moments): 8.361293250762856
[INFO] 2021-05-03 23:11:14 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 23:12:56 > Step:   36100 Progress: 36.1% Elapsed: 10:53:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.72259 Generator_loss: 1.63001 
[INFO] 2021-05-03 23:14:40 > Step:   36200 Progress: 36.2% Elapsed: 10:55:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.68623 Generator_loss: 1.84837 
[INFO] 2021-05-03 23:16:23 > Step:   36300 Progress: 36.3% Elapsed: 10:56:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.92616 Generator_loss: 1.70161 
[INFO] 2021-05-03 23:18:05 > Step:   36400 Progress: 36.4% Elapsed: 10:58:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.9438 Generator_loss: 2.02458 
[INFO] 2021-05-03 23:19:48 > Step:   36500 Progress: 36.5% Elapsed: 11:00:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.81542 Generator_loss: 2.16075 
[INFO] 2021-05-03 23:21:31 > Step:   36600 Progress: 36.6% Elapsed: 11:02:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.06793 Generator_loss: 1.62156 
[INFO] 2021-05-03 23:23:14 > Step:   36700 Progress: 36.7% Elapsed: 11:03:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.87562 Generator_loss: 1.74579 
[INFO] 2021-05-03 23:24:57 > Step:   36800 Progress: 36.8% Elapsed: 11:05:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.92758 Generator_loss: 1.93382 
[INFO] 2021-05-03 23:26:40 > Step:   36900 Progress: 36.9% Elapsed: 11:07:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.78086 Generator_loss: 1.91948 
[INFO] 2021-05-03 23:28:23 > Step:   37000 Progress: 37.0% Elapsed: 11:08:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.87133 Generator_loss: 1.64664 
[INFO] 2021-05-03 23:30:05 > Step:   37100 Progress: 37.1% Elapsed: 11:10:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.07948 Generator_loss: 1.96163 
[INFO] 2021-05-03 23:31:48 > Step:   37200 Progress: 37.2% Elapsed: 11:12:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.99101 Generator_loss: 1.36474 
[INFO] 2021-05-03 23:33:31 > Step:   37300 Progress: 37.3% Elapsed: 11:14:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.8396 Generator_loss: 2.19971 
[INFO] 2021-05-03 23:35:14 > Step:   37400 Progress: 37.4% Elapsed: 11:15:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.89997 Generator_loss: 1.57525 
[INFO] 2021-05-03 23:36:58 > Step:   37500 Progress: 37.5% Elapsed: 11:17:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.84169 Generator_loss: 1.77993 
[INFO] 2021-05-03 23:38:42 > Step:   37600 Progress: 37.6% Elapsed: 11:19:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.76666 Generator_loss: 2.09553 
[INFO] 2021-05-03 23:40:24 > Step:   37700 Progress: 37.7% Elapsed: 11:20:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.91856 Generator_loss: 2.03786 
[INFO] 2021-05-03 23:42:07 > Step:   37800 Progress: 37.8% Elapsed: 11:22:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.85026 Generator_loss: 1.84527 
[INFO] 2021-05-03 23:43:47 > Step:   37900 Progress: 37.9% Elapsed: 11:24:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.88679 Generator_loss: 1.94115 
[INFO] 2021-05-03 23:45:25 > Step:   38000 Progress: 38.0% Elapsed: 11:25:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.85019 Generator_loss: 1.72349 
[INFO] 2021-05-03 23:45:25 > Start Evaluation (38000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 23:45:25 > Calculating FID Score....
[INFO] 2021-05-03 23:45:57 > Calculating Inception Score....
[INFO] 2021-05-03 23:46:14 > Calculate F_beta Score....
[INFO] 2021-05-03 23:47:08 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-03 23:47:09 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-03 23:47:10 > Calculate Accuracies....
[INFO] 2021-05-03 23:47:16 > Calculate Accuracies....
[INFO] 2021-05-03 23:47:18 > F_8 score (Step: 38000, Using test images): 0.994375618120263
[INFO] 2021-05-03 23:47:18 > F_1/8 score (Step: 38000, Using test images): 0.9960736908308803
[INFO] 2021-05-03 23:47:18 > FID score (Step: 38000, Using test moments): 8.276879899332812
[INFO] 2021-05-03 23:47:18 > Inception score (Step: 38000, 10000 generated images): 9.878111839294434
[INFO] 2021-05-03 23:47:18 > Best FID score (Step: 38000, Using test moments): 8.276879899332812
[INFO] 2021-05-03 23:47:21 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-03 23:49:03 > Step:   38100 Progress: 38.1% Elapsed: 11:29:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.89369 Generator_loss: 1.87097 
[INFO] 2021-05-03 23:50:45 > Step:   38200 Progress: 38.2% Elapsed: 11:31:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.89375 Generator_loss: 1.83637 
[INFO] 2021-05-03 23:52:28 > Step:   38300 Progress: 38.3% Elapsed: 11:33:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.83316 Generator_loss: 1.62024 
[INFO] 2021-05-03 23:54:11 > Step:   38400 Progress: 38.4% Elapsed: 11:34:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.72323 Generator_loss: 1.68052 
[INFO] 2021-05-03 23:55:54 > Step:   38500 Progress: 38.5% Elapsed: 11:36:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.8573 Generator_loss: 2.19792 
[INFO] 2021-05-03 23:57:37 > Step:   38600 Progress: 38.6% Elapsed: 11:38:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.78891 Generator_loss: 1.70484 
[INFO] 2021-05-03 23:59:21 > Step:   38700 Progress: 38.7% Elapsed: 11:39:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.83233 Generator_loss: 2.08058 
[INFO] 2021-05-04 00:01:04 > Step:   38800 Progress: 38.8% Elapsed: 11:41:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.70189 Generator_loss: 2.04817 
[INFO] 2021-05-04 00:02:46 > Step:   38900 Progress: 38.9% Elapsed: 11:43:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.80675 Generator_loss: 1.50291 
[INFO] 2021-05-04 00:04:29 > Step:   39000 Progress: 39.0% Elapsed: 11:45:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.92076 Generator_loss: 1.5416 
[INFO] 2021-05-04 00:06:12 > Step:   39100 Progress: 39.1% Elapsed: 11:46:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.95052 Generator_loss: 2.24153 
[INFO] 2021-05-04 00:07:54 > Step:   39200 Progress: 39.2% Elapsed: 11:48:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.94454 Generator_loss: 1.14799 
[INFO] 2021-05-04 00:09:38 > Step:   39300 Progress: 39.3% Elapsed: 11:50:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.7863 Generator_loss: 1.8642 
[INFO] 2021-05-04 00:11:22 > Step:   39400 Progress: 39.4% Elapsed: 11:51:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.80924 Generator_loss: 2.07365 
[INFO] 2021-05-04 00:13:05 > Step:   39500 Progress: 39.5% Elapsed: 11:53:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.86786 Generator_loss: 1.71739 
[INFO] 2021-05-04 00:14:48 > Step:   39600 Progress: 39.6% Elapsed: 11:55:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.78144 Generator_loss: 1.93218 
[INFO] 2021-05-04 00:16:31 > Step:   39700 Progress: 39.7% Elapsed: 11:57:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.16045 Generator_loss: 0.975838 
[INFO] 2021-05-04 00:18:14 > Step:   39800 Progress: 39.8% Elapsed: 11:58:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.73784 Generator_loss: 1.56181 
[INFO] 2021-05-04 00:19:55 > Step:   39900 Progress: 39.9% Elapsed: 12:00:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.86105 Generator_loss: 1.97623 
[INFO] 2021-05-04 00:21:31 > Step:   40000 Progress: 40.0% Elapsed: 12:02:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.69347 Generator_loss: 1.5509 
[INFO] 2021-05-04 00:21:31 > Start Evaluation (40000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 00:21:31 > Calculating FID Score....
[INFO] 2021-05-04 00:22:04 > Calculating Inception Score....
[INFO] 2021-05-04 00:22:21 > Calculate F_beta Score....
[INFO] 2021-05-04 00:23:15 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 00:23:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 00:23:16 > Calculate Accuracies....
[INFO] 2021-05-04 00:23:23 > Calculate Accuracies....
[INFO] 2021-05-04 00:23:24 > F_8 score (Step: 40000, Using test images): 0.9930321484210145
[INFO] 2021-05-04 00:23:24 > F_1/8 score (Step: 40000, Using test images): 0.9957872161506736
[INFO] 2021-05-04 00:23:24 > FID score (Step: 40000, Using test moments): 8.114263091941552
[INFO] 2021-05-04 00:23:24 > Inception score (Step: 40000, 10000 generated images): 9.950455665588379
[INFO] 2021-05-04 00:23:24 > Best FID score (Step: 40000, Using test moments): 8.114263091941552
[INFO] 2021-05-04 00:23:27 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 00:25:11 > Step:   40100 Progress: 40.1% Elapsed: 12:05:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.87523 Generator_loss: 1.59847 
[INFO] 2021-05-04 00:26:54 > Step:   40200 Progress: 40.2% Elapsed: 12:07:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.89025 Generator_loss: 1.45029 
[INFO] 2021-05-04 00:28:36 > Step:   40300 Progress: 40.3% Elapsed: 12:09:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.72918 Generator_loss: 2.07029 
[INFO] 2021-05-04 00:30:19 > Step:   40400 Progress: 40.4% Elapsed: 12:10:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86334 Generator_loss: 2.21032 
[INFO] 2021-05-04 00:32:02 > Step:   40500 Progress: 40.5% Elapsed: 12:12:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.96101 Generator_loss: 1.34755 
[INFO] 2021-05-04 00:33:45 > Step:   40600 Progress: 40.6% Elapsed: 12:14:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.82973 Generator_loss: 2.01259 
[INFO] 2021-05-04 00:35:29 > Step:   40700 Progress: 40.7% Elapsed: 12:16:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.91361 Generator_loss: 2.00887 
[INFO] 2021-05-04 00:37:12 > Step:   40800 Progress: 40.8% Elapsed: 12:17:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.74473 Generator_loss: 2.04177 
[INFO] 2021-05-04 00:38:54 > Step:   40900 Progress: 40.9% Elapsed: 12:19:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.90718 Generator_loss: 1.61167 
[INFO] 2021-05-04 00:40:37 > Step:   41000 Progress: 41.0% Elapsed: 12:21:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.91979 Generator_loss: 1.54369 
[INFO] 2021-05-04 00:42:19 > Step:   41100 Progress: 41.1% Elapsed: 12:22:53 temperature: 0.5 ada_p: No Discriminator_loss: 3.12399 Generator_loss: 1.3362 
[INFO] 2021-05-04 00:44:02 > Step:   41200 Progress: 41.2% Elapsed: 12:24:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.78794 Generator_loss: 1.82232 
[INFO] 2021-05-04 00:45:44 > Step:   41300 Progress: 41.3% Elapsed: 12:26:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.77878 Generator_loss: 1.83089 
[INFO] 2021-05-04 00:47:27 > Step:   41400 Progress: 41.4% Elapsed: 12:28:01 temperature: 0.5 ada_p: No Discriminator_loss: 3.03286 Generator_loss: 2.08614 
[INFO] 2021-05-04 00:49:11 > Step:   41500 Progress: 41.5% Elapsed: 12:29:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.8161 Generator_loss: 1.88264 
[INFO] 2021-05-04 00:50:53 > Step:   41600 Progress: 41.6% Elapsed: 12:31:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.80286 Generator_loss: 1.65401 
[INFO] 2021-05-04 00:52:36 > Step:   41700 Progress: 41.7% Elapsed: 12:33:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.81059 Generator_loss: 2.10776 
[INFO] 2021-05-04 00:54:19 > Step:   41800 Progress: 41.8% Elapsed: 12:34:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.93997 Generator_loss: 1.3925 
[INFO] 2021-05-04 00:56:00 > Step:   41900 Progress: 41.9% Elapsed: 12:36:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.77395 Generator_loss: 1.7975 
[INFO] 2021-05-04 00:57:37 > Step:   42000 Progress: 42.0% Elapsed: 12:38:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.88569 Generator_loss: 2.03533 
[INFO] 2021-05-04 00:57:37 > Start Evaluation (42000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 00:57:37 > Calculating FID Score....
[INFO] 2021-05-04 00:58:09 > Calculating Inception Score....
[INFO] 2021-05-04 00:58:26 > Calculate F_beta Score....
[INFO] 2021-05-04 00:59:19 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 00:59:20 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 00:59:20 > Calculate Accuracies....
[INFO] 2021-05-04 00:59:27 > Calculate Accuracies....
[INFO] 2021-05-04 00:59:28 > F_8 score (Step: 42000, Using test images): 0.9949172639050653
[INFO] 2021-05-04 00:59:28 > F_1/8 score (Step: 42000, Using test images): 0.995938280884412
[INFO] 2021-05-04 00:59:28 > FID score (Step: 42000, Using test moments): 8.0856730694735
[INFO] 2021-05-04 00:59:28 > Inception score (Step: 42000, 10000 generated images): 9.981917381286621
[INFO] 2021-05-04 00:59:28 > Best FID score (Step: 42000, Using test moments): 8.0856730694735
[INFO] 2021-05-04 00:59:32 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 01:01:16 > Step:   42100 Progress: 42.1% Elapsed: 12:41:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.82885 Generator_loss: 1.99883 
[INFO] 2021-05-04 01:03:00 > Step:   42200 Progress: 42.2% Elapsed: 12:43:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.90409 Generator_loss: 1.59748 
[INFO] 2021-05-04 01:04:44 > Step:   42300 Progress: 42.3% Elapsed: 12:45:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.82944 Generator_loss: 2.14825 
[INFO] 2021-05-04 01:06:27 > Step:   42400 Progress: 42.4% Elapsed: 12:47:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.91294 Generator_loss: 1.29494 
[INFO] 2021-05-04 01:08:09 > Step:   42500 Progress: 42.5% Elapsed: 12:48:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.8708 Generator_loss: 2.01582 
[INFO] 2021-05-04 01:09:53 > Step:   42600 Progress: 42.6% Elapsed: 12:50:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.76368 Generator_loss: 1.93321 
[INFO] 2021-05-04 01:11:37 > Step:   42700 Progress: 42.7% Elapsed: 12:52:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.85986 Generator_loss: 2.3935 
[INFO] 2021-05-04 01:13:20 > Step:   42800 Progress: 42.8% Elapsed: 12:53:54 temperature: 0.5 ada_p: No Discriminator_loss: 3.13134 Generator_loss: 1.11339 
[INFO] 2021-05-04 01:15:03 > Step:   42900 Progress: 42.9% Elapsed: 12:55:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.91267 Generator_loss: 1.67424 
[INFO] 2021-05-04 01:16:48 > Step:   43000 Progress: 43.0% Elapsed: 12:57:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.92366 Generator_loss: 1.71916 
[INFO] 2021-05-04 01:18:31 > Step:   43100 Progress: 43.1% Elapsed: 12:59:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.0142 Generator_loss: 1.17326 
[INFO] 2021-05-04 01:20:14 > Step:   43200 Progress: 43.2% Elapsed: 13:00:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.9975 Generator_loss: 1.27306 
[INFO] 2021-05-04 01:21:57 > Step:   43300 Progress: 43.3% Elapsed: 13:02:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.76015 Generator_loss: 1.77367 
[INFO] 2021-05-04 01:23:41 > Step:   43400 Progress: 43.4% Elapsed: 13:04:14 temperature: 0.5 ada_p: No Discriminator_loss: 3.03757 Generator_loss: 1.4178 
[INFO] 2021-05-04 01:25:24 > Step:   43500 Progress: 43.5% Elapsed: 13:05:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.8501 Generator_loss: 1.86592 
[INFO] 2021-05-04 01:27:06 > Step:   43600 Progress: 43.6% Elapsed: 13:07:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.79623 Generator_loss: 2.15138 
[INFO] 2021-05-04 01:28:51 > Step:   43700 Progress: 43.7% Elapsed: 13:09:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.94876 Generator_loss: 1.21853 
[INFO] 2021-05-04 01:30:34 > Step:   43800 Progress: 43.8% Elapsed: 13:11:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.79121 Generator_loss: 2.12911 
[INFO] 2021-05-04 01:32:15 > Step:   43900 Progress: 43.9% Elapsed: 13:12:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.88151 Generator_loss: 1.39633 
[INFO] 2021-05-04 01:33:52 > Step:   44000 Progress: 44.0% Elapsed: 13:14:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.89092 Generator_loss: 1.53144 
[INFO] 2021-05-04 01:33:52 > Start Evaluation (44000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 01:33:52 > Calculating FID Score....
[INFO] 2021-05-04 01:34:24 > Calculating Inception Score....
[INFO] 2021-05-04 01:34:41 > Calculate F_beta Score....
[INFO] 2021-05-04 01:35:34 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 01:35:35 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 01:35:35 > Calculate Accuracies....
[INFO] 2021-05-04 01:35:42 > Calculate Accuracies....
[INFO] 2021-05-04 01:35:44 > F_8 score (Step: 44000, Using test images): 0.9942818459224746
[INFO] 2021-05-04 01:35:44 > F_1/8 score (Step: 44000, Using test images): 0.9944981187320489
[INFO] 2021-05-04 01:35:44 > FID score (Step: 44000, Using test moments): 7.953482330435406
[INFO] 2021-05-04 01:35:44 > Inception score (Step: 44000, 10000 generated images): 10.023602485656738
[INFO] 2021-05-04 01:35:44 > Best FID score (Step: 44000, Using test moments): 7.953482330435406
[INFO] 2021-05-04 01:35:46 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 01:37:29 > Step:   44100 Progress: 44.1% Elapsed: 13:18:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.91815 Generator_loss: 1.39063 
[INFO] 2021-05-04 01:39:12 > Step:   44200 Progress: 44.2% Elapsed: 13:19:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.82669 Generator_loss: 1.81089 
[INFO] 2021-05-04 01:40:56 > Step:   44300 Progress: 44.3% Elapsed: 13:21:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.78661 Generator_loss: 1.73912 
[INFO] 2021-05-04 01:42:39 > Step:   44400 Progress: 44.4% Elapsed: 13:23:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.8201 Generator_loss: 1.54491 
[INFO] 2021-05-04 01:44:23 > Step:   44500 Progress: 44.5% Elapsed: 13:24:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.93508 Generator_loss: 1.35677 
[INFO] 2021-05-04 01:46:06 > Step:   44600 Progress: 44.6% Elapsed: 13:26:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.85001 Generator_loss: 1.69441 
[INFO] 2021-05-04 01:47:51 > Step:   44700 Progress: 44.7% Elapsed: 13:28:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.94818 Generator_loss: 1.45159 
[INFO] 2021-05-04 01:49:34 > Step:   44800 Progress: 44.8% Elapsed: 13:30:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.72485 Generator_loss: 1.92711 
[INFO] 2021-05-04 01:51:18 > Step:   44900 Progress: 44.9% Elapsed: 13:31:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.78183 Generator_loss: 1.94925 
[INFO] 2021-05-04 01:53:02 > Step:   45000 Progress: 45.0% Elapsed: 13:33:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.72225 Generator_loss: 1.66514 
[INFO] 2021-05-04 01:54:45 > Step:   45100 Progress: 45.1% Elapsed: 13:35:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.89496 Generator_loss: 1.68008 
[INFO] 2021-05-04 01:56:28 > Step:   45200 Progress: 45.2% Elapsed: 13:37:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.83576 Generator_loss: 2.02265 
[INFO] 2021-05-04 01:58:12 > Step:   45300 Progress: 45.3% Elapsed: 13:38:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.90059 Generator_loss: 1.49749 
[INFO] 2021-05-04 01:59:56 > Step:   45400 Progress: 45.4% Elapsed: 13:40:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.31413 Generator_loss: 0.677885 
[INFO] 2021-05-04 02:01:38 > Step:   45500 Progress: 45.5% Elapsed: 13:42:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.68386 Generator_loss: 2.25216 
[INFO] 2021-05-04 02:03:21 > Step:   45600 Progress: 45.6% Elapsed: 13:43:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.92488 Generator_loss: 2.08487 
[INFO] 2021-05-04 02:05:04 > Step:   45700 Progress: 45.7% Elapsed: 13:45:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.75504 Generator_loss: 1.59902 
[INFO] 2021-05-04 02:06:48 > Step:   45800 Progress: 45.8% Elapsed: 13:47:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.76747 Generator_loss: 1.67642 
[INFO] 2021-05-04 02:08:30 > Step:   45900 Progress: 45.9% Elapsed: 13:49:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.88484 Generator_loss: 1.48922 
[INFO] 2021-05-04 02:10:06 > Step:   46000 Progress: 46.0% Elapsed: 13:50:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.7556 Generator_loss: 2.0459 
[INFO] 2021-05-04 02:10:06 > Start Evaluation (46000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 02:10:06 > Calculating FID Score....
[INFO] 2021-05-04 02:10:39 > Calculating Inception Score....
[INFO] 2021-05-04 02:10:56 > Calculate F_beta Score....
[INFO] 2021-05-04 02:11:50 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 02:11:51 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 02:11:51 > Calculate Accuracies....
[INFO] 2021-05-04 02:11:58 > Calculate Accuracies....
[INFO] 2021-05-04 02:12:00 > F_8 score (Step: 46000, Using test images): 0.991992088667763
[INFO] 2021-05-04 02:12:00 > F_1/8 score (Step: 46000, Using test images): 0.9951777736061326
[INFO] 2021-05-04 02:12:00 > FID score (Step: 46000, Using test moments): 7.798441515115485
[INFO] 2021-05-04 02:12:00 > Inception score (Step: 46000, 10000 generated images): 10.015628814697266
[INFO] 2021-05-04 02:12:00 > Best FID score (Step: 46000, Using test moments): 7.798441515115485
[INFO] 2021-05-04 02:12:02 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 02:13:47 > Step:   46100 Progress: 46.1% Elapsed: 13:54:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.76892 Generator_loss: 1.79048 
[INFO] 2021-05-04 02:15:30 > Step:   46200 Progress: 46.2% Elapsed: 13:56:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.84429 Generator_loss: 2.09696 
[INFO] 2021-05-04 02:17:14 > Step:   46300 Progress: 46.3% Elapsed: 13:57:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.89857 Generator_loss: 1.75413 
[INFO] 2021-05-04 02:18:58 > Step:   46400 Progress: 46.4% Elapsed: 13:59:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.74919 Generator_loss: 2.27005 
[INFO] 2021-05-04 02:20:42 > Step:   46500 Progress: 46.5% Elapsed: 14:01:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.92661 Generator_loss: 2.0632 
[INFO] 2021-05-04 02:22:25 > Step:   46600 Progress: 46.6% Elapsed: 14:02:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.73007 Generator_loss: 2.40542 
[INFO] 2021-05-04 02:24:09 > Step:   46700 Progress: 46.7% Elapsed: 14:04:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.88666 Generator_loss: 1.35246 
[INFO] 2021-05-04 02:25:53 > Step:   46800 Progress: 46.8% Elapsed: 14:06:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.89598 Generator_loss: 1.90455 
[INFO] 2021-05-04 02:27:37 > Step:   46900 Progress: 46.9% Elapsed: 14:08:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.89916 Generator_loss: 1.37023 
[INFO] 2021-05-04 02:29:21 > Step:   47000 Progress: 47.0% Elapsed: 14:09:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.81796 Generator_loss: 1.96113 
[INFO] 2021-05-04 02:31:04 > Step:   47100 Progress: 47.1% Elapsed: 14:11:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.75817 Generator_loss: 1.38413 
[INFO] 2021-05-04 02:32:48 > Step:   47200 Progress: 47.2% Elapsed: 14:13:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.79753 Generator_loss: 1.15366 
[INFO] 2021-05-04 02:34:31 > Step:   47300 Progress: 47.3% Elapsed: 14:15:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.90419 Generator_loss: 1.45688 
[INFO] 2021-05-04 02:36:14 > Step:   47400 Progress: 47.4% Elapsed: 14:16:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.98345 Generator_loss: 1.76796 
[INFO] 2021-05-04 02:37:58 > Step:   47500 Progress: 47.5% Elapsed: 14:18:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.89451 Generator_loss: 1.74711 
[INFO] 2021-05-04 02:39:42 > Step:   47600 Progress: 47.6% Elapsed: 14:20:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.80776 Generator_loss: 1.75822 
[INFO] 2021-05-04 02:41:24 > Step:   47700 Progress: 47.7% Elapsed: 14:21:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.8176 Generator_loss: 1.95832 
[INFO] 2021-05-04 02:43:08 > Step:   47800 Progress: 47.8% Elapsed: 14:23:41 temperature: 0.5 ada_p: No Discriminator_loss: 3.23022 Generator_loss: 1.22405 
[INFO] 2021-05-04 02:44:49 > Step:   47900 Progress: 47.9% Elapsed: 14:25:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.71327 Generator_loss: 2.03078 
[INFO] 2021-05-04 02:46:26 > Step:   48000 Progress: 48.0% Elapsed: 14:26:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.77012 Generator_loss: 1.88878 
[INFO] 2021-05-04 02:46:26 > Start Evaluation (48000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 02:46:26 > Calculating FID Score....
[INFO] 2021-05-04 02:46:58 > Calculating Inception Score....
[INFO] 2021-05-04 02:47:15 > Calculate F_beta Score....
[INFO] 2021-05-04 02:48:09 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 02:48:09 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 02:48:10 > Calculate Accuracies....
[INFO] 2021-05-04 02:48:16 > Calculate Accuracies....
[INFO] 2021-05-04 02:48:18 > F_8 score (Step: 48000, Using test images): 0.9937576784219431
[INFO] 2021-05-04 02:48:18 > F_1/8 score (Step: 48000, Using test images): 0.9957346008232602
[INFO] 2021-05-04 02:48:18 > FID score (Step: 48000, Using test moments): 7.718293013979462
[INFO] 2021-05-04 02:48:18 > Inception score (Step: 48000, 10000 generated images): 10.15279483795166
[INFO] 2021-05-04 02:48:18 > Best FID score (Step: 48000, Using test moments): 7.718293013979462
[INFO] 2021-05-04 02:48:21 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 02:50:04 > Step:   48100 Progress: 48.1% Elapsed: 14:30:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.83089 Generator_loss: 2.02267 
[INFO] 2021-05-04 02:51:48 > Step:   48200 Progress: 48.2% Elapsed: 14:32:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.81728 Generator_loss: 1.7645 
[INFO] 2021-05-04 02:53:32 > Step:   48300 Progress: 48.3% Elapsed: 14:34:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.74036 Generator_loss: 2.14486 
[INFO] 2021-05-04 02:55:16 > Step:   48400 Progress: 48.4% Elapsed: 14:35:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.90772 Generator_loss: 2.18339 
[INFO] 2021-05-04 02:57:00 > Step:   48500 Progress: 48.5% Elapsed: 14:37:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.79635 Generator_loss: 1.91746 
[INFO] 2021-05-04 02:58:44 > Step:   48600 Progress: 48.6% Elapsed: 14:39:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.93505 Generator_loss: 1.42509 
[INFO] 2021-05-04 03:00:28 > Step:   48700 Progress: 48.7% Elapsed: 14:41:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.88233 Generator_loss: 1.23838 
[INFO] 2021-05-04 03:02:11 > Step:   48800 Progress: 48.8% Elapsed: 14:42:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.8684 Generator_loss: 2.19051 
[INFO] 2021-05-04 03:03:55 > Step:   48900 Progress: 48.9% Elapsed: 14:44:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.89255 Generator_loss: 1.78916 
[INFO] 2021-05-04 03:05:39 > Step:   49000 Progress: 49.0% Elapsed: 14:46:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.87902 Generator_loss: 1.52011 
[INFO] 2021-05-04 03:07:22 > Step:   49100 Progress: 49.1% Elapsed: 14:47:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.82273 Generator_loss: 1.35939 
[INFO] 2021-05-04 03:09:06 > Step:   49200 Progress: 49.2% Elapsed: 14:49:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.82567 Generator_loss: 1.4848 
[INFO] 2021-05-04 03:10:49 > Step:   49300 Progress: 49.3% Elapsed: 14:51:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.6639 Generator_loss: 1.87921 
[INFO] 2021-05-04 03:12:33 > Step:   49400 Progress: 49.4% Elapsed: 14:53:06 temperature: 0.5 ada_p: No Discriminator_loss: 3.02682 Generator_loss: 1.41094 
[INFO] 2021-05-04 03:14:16 > Step:   49500 Progress: 49.5% Elapsed: 14:54:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.89755 Generator_loss: 1.80007 
[INFO] 2021-05-04 03:15:59 > Step:   49600 Progress: 49.6% Elapsed: 14:56:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.91181 Generator_loss: 1.20123 
[INFO] 2021-05-04 03:17:43 > Step:   49700 Progress: 49.7% Elapsed: 14:58:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.75596 Generator_loss: 1.48773 
[INFO] 2021-05-04 03:19:26 > Step:   49800 Progress: 49.8% Elapsed: 15:00:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.87105 Generator_loss: 1.2573 
[INFO] 2021-05-04 03:21:07 > Step:   49900 Progress: 49.9% Elapsed: 15:01:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.73118 Generator_loss: 1.57186 
[INFO] 2021-05-04 03:22:45 > Step:   50000 Progress: 50.0% Elapsed: 15:03:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.8383 Generator_loss: 1.7351 
[INFO] 2021-05-04 03:22:45 > Start Evaluation (50000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 03:22:45 > Calculating FID Score....
[INFO] 2021-05-04 03:23:17 > Calculating Inception Score....
[INFO] 2021-05-04 03:23:34 > Calculate F_beta Score....
[INFO] 2021-05-04 03:24:29 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 03:24:30 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 03:24:30 > Calculate Accuracies....
[INFO] 2021-05-04 03:24:37 > Calculate Accuracies....
[INFO] 2021-05-04 03:24:39 > F_8 score (Step: 50000, Using test images): 0.9951702456525577
[INFO] 2021-05-04 03:24:39 > F_1/8 score (Step: 50000, Using test images): 0.9961532694714358
[INFO] 2021-05-04 03:24:39 > FID score (Step: 50000, Using test moments): 7.526822230296375
[INFO] 2021-05-04 03:24:39 > Inception score (Step: 50000, 10000 generated images): 9.996232032775879
[INFO] 2021-05-04 03:24:39 > Best FID score (Step: 50000, Using test moments): 7.526822230296375
[INFO] 2021-05-04 03:24:42 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 03:26:26 > Step:   50100 Progress: 50.1% Elapsed: 15:06:59 temperature: 0.5 ada_p: No Discriminator_loss: 3.01404 Generator_loss: 1.46435 
[INFO] 2021-05-04 03:28:10 > Step:   50200 Progress: 50.2% Elapsed: 15:08:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.80983 Generator_loss: 1.69328 
[INFO] 2021-05-04 03:29:54 > Step:   50300 Progress: 50.3% Elapsed: 15:10:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.89601 Generator_loss: 1.4748 
[INFO] 2021-05-04 03:31:38 > Step:   50400 Progress: 50.4% Elapsed: 15:12:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.81862 Generator_loss: 2.15151 
[INFO] 2021-05-04 03:33:21 > Step:   50500 Progress: 50.5% Elapsed: 15:13:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.75781 Generator_loss: 2.25097 
[INFO] 2021-05-04 03:35:04 > Step:   50600 Progress: 50.6% Elapsed: 15:15:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.88478 Generator_loss: 1.78325 
[INFO] 2021-05-04 03:36:47 > Step:   50700 Progress: 50.7% Elapsed: 15:17:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.79386 Generator_loss: 1.74481 
[INFO] 2021-05-04 03:38:30 > Step:   50800 Progress: 50.8% Elapsed: 15:19:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.96484 Generator_loss: 1.42409 
[INFO] 2021-05-04 03:40:14 > Step:   50900 Progress: 50.9% Elapsed: 15:20:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.79786 Generator_loss: 1.1841 
[INFO] 2021-05-04 03:41:57 > Step:   51000 Progress: 51.0% Elapsed: 15:22:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.80414 Generator_loss: 1.4891 
[INFO] 2021-05-04 03:43:40 > Step:   51100 Progress: 51.1% Elapsed: 15:24:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.85375 Generator_loss: 1.0934 
[INFO] 2021-05-04 03:45:23 > Step:   51200 Progress: 51.2% Elapsed: 15:25:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.87713 Generator_loss: 1.52838 
[INFO] 2021-05-04 03:47:06 > Step:   51300 Progress: 51.3% Elapsed: 15:27:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.86126 Generator_loss: 1.89616 
[INFO] 2021-05-04 03:48:50 > Step:   51400 Progress: 51.4% Elapsed: 15:29:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.78513 Generator_loss: 1.83173 
[INFO] 2021-05-04 03:50:34 > Step:   51500 Progress: 51.5% Elapsed: 15:31:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.8107 Generator_loss: 2.07411 
[INFO] 2021-05-04 03:52:17 > Step:   51600 Progress: 51.6% Elapsed: 15:32:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.88792 Generator_loss: 1.76109 
[INFO] 2021-05-04 03:54:01 > Step:   51700 Progress: 51.7% Elapsed: 15:34:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.87433 Generator_loss: 1.73245 
[INFO] 2021-05-04 03:55:45 > Step:   51800 Progress: 51.8% Elapsed: 15:36:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.64626 Generator_loss: 1.87448 
[INFO] 2021-05-04 03:57:27 > Step:   51900 Progress: 51.9% Elapsed: 15:38:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.9834 Generator_loss: 1.6003 
[INFO] 2021-05-04 03:59:05 > Step:   52000 Progress: 52.0% Elapsed: 15:39:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.04687 Generator_loss: 0.984151 
[INFO] 2021-05-04 03:59:05 > Start Evaluation (52000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 03:59:05 > Calculating FID Score....
[INFO] 2021-05-04 03:59:38 > Calculating Inception Score....
[INFO] 2021-05-04 03:59:55 > Calculate F_beta Score....
[INFO] 2021-05-04 04:00:47 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 04:00:47 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 04:00:48 > Calculate Accuracies....
[INFO] 2021-05-04 04:00:54 > Calculate Accuracies....
[INFO] 2021-05-04 04:00:56 > F_8 score (Step: 52000, Using test images): 0.9948493635112376
[INFO] 2021-05-04 04:00:56 > F_1/8 score (Step: 52000, Using test images): 0.9959686858428984
[INFO] 2021-05-04 04:00:56 > FID score (Step: 52000, Using test moments): 7.659810779877375
[INFO] 2021-05-04 04:00:56 > Inception score (Step: 52000, 10000 generated images): 9.895356178283691
[INFO] 2021-05-04 04:00:56 > Best FID score (Step: 50000, Using test moments): 7.526822230296375
[INFO] 2021-05-04 04:00:57 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 04:02:41 > Step:   52100 Progress: 52.1% Elapsed: 15:43:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.92177 Generator_loss: 1.89195 
[INFO] 2021-05-04 04:04:24 > Step:   52200 Progress: 52.2% Elapsed: 15:44:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.92217 Generator_loss: 1.96251 
[INFO] 2021-05-04 04:06:08 > Step:   52300 Progress: 52.3% Elapsed: 15:46:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.75788 Generator_loss: 2.12981 
[INFO] 2021-05-04 04:07:53 > Step:   52400 Progress: 52.4% Elapsed: 15:48:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.00088 Generator_loss: 1.66311 
[INFO] 2021-05-04 04:09:37 > Step:   52500 Progress: 52.5% Elapsed: 15:50:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.70893 Generator_loss: 2.13509 
[INFO] 2021-05-04 04:11:21 > Step:   52600 Progress: 52.6% Elapsed: 15:51:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.73542 Generator_loss: 1.57964 
[INFO] 2021-05-04 04:13:05 > Step:   52700 Progress: 52.7% Elapsed: 15:53:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.82667 Generator_loss: 2.18104 
[INFO] 2021-05-04 04:14:48 > Step:   52800 Progress: 52.8% Elapsed: 15:55:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.75636 Generator_loss: 2.18658 
[INFO] 2021-05-04 04:16:32 > Step:   52900 Progress: 52.9% Elapsed: 15:57:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.73672 Generator_loss: 2.45027 
[INFO] 2021-05-04 04:18:14 > Step:   53000 Progress: 53.0% Elapsed: 15:58:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.6941 Generator_loss: 1.44089 
[INFO] 2021-05-04 04:19:57 > Step:   53100 Progress: 53.1% Elapsed: 16:00:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.72282 Generator_loss: 1.97637 
[INFO] 2021-05-04 04:21:42 > Step:   53200 Progress: 53.2% Elapsed: 16:02:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.69086 Generator_loss: 2.03035 
[INFO] 2021-05-04 04:23:25 > Step:   53300 Progress: 53.3% Elapsed: 16:03:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.95292 Generator_loss: 1.52664 
[INFO] 2021-05-04 04:25:07 > Step:   53400 Progress: 53.4% Elapsed: 16:05:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.91087 Generator_loss: 1.19049 
[INFO] 2021-05-04 04:26:51 > Step:   53500 Progress: 53.5% Elapsed: 16:07:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.86212 Generator_loss: 1.57128 
[INFO] 2021-05-04 04:28:34 > Step:   53600 Progress: 53.6% Elapsed: 16:09:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.80211 Generator_loss: 1.57882 
[INFO] 2021-05-04 04:30:17 > Step:   53700 Progress: 53.7% Elapsed: 16:10:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.68534 Generator_loss: 2.08155 
[INFO] 2021-05-04 04:32:01 > Step:   53800 Progress: 53.8% Elapsed: 16:12:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.77172 Generator_loss: 1.34806 
[INFO] 2021-05-04 04:33:42 > Step:   53900 Progress: 53.9% Elapsed: 16:14:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.74556 Generator_loss: 1.76693 
[INFO] 2021-05-04 04:35:20 > Step:   54000 Progress: 54.0% Elapsed: 16:15:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.74954 Generator_loss: 1.98811 
[INFO] 2021-05-04 04:35:20 > Start Evaluation (54000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 04:35:20 > Calculating FID Score....
[INFO] 2021-05-04 04:35:52 > Calculating Inception Score....
[INFO] 2021-05-04 04:36:09 > Calculate F_beta Score....
[INFO] 2021-05-04 04:37:02 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 04:37:03 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 04:37:03 > Calculate Accuracies....
[INFO] 2021-05-04 04:37:10 > Calculate Accuracies....
[INFO] 2021-05-04 04:37:12 > F_8 score (Step: 54000, Using test images): 0.994199045846159
[INFO] 2021-05-04 04:37:12 > F_1/8 score (Step: 54000, Using test images): 0.9967601691426037
[INFO] 2021-05-04 04:37:12 > FID score (Step: 54000, Using test moments): 7.541860888372071
[INFO] 2021-05-04 04:37:12 > Inception score (Step: 54000, 10000 generated images): 10.024906158447266
[INFO] 2021-05-04 04:37:12 > Best FID score (Step: 50000, Using test moments): 7.526822230296375
[INFO] 2021-05-04 04:37:13 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 04:38:56 > Step:   54100 Progress: 54.1% Elapsed: 16:19:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.85013 Generator_loss: 1.60351 
[INFO] 2021-05-04 04:40:40 > Step:   54200 Progress: 54.2% Elapsed: 16:21:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.84846 Generator_loss: 1.35298 
[INFO] 2021-05-04 04:42:23 > Step:   54300 Progress: 54.3% Elapsed: 16:22:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.81256 Generator_loss: 1.84852 
[INFO] 2021-05-04 04:44:07 > Step:   54400 Progress: 54.4% Elapsed: 16:24:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.88682 Generator_loss: 1.85 
[INFO] 2021-05-04 04:45:50 > Step:   54500 Progress: 54.5% Elapsed: 16:26:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.82363 Generator_loss: 1.5399 
[INFO] 2021-05-04 04:47:33 > Step:   54600 Progress: 54.6% Elapsed: 16:28:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.79601 Generator_loss: 1.8821 
[INFO] 2021-05-04 04:49:16 > Step:   54700 Progress: 54.7% Elapsed: 16:29:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.7631 Generator_loss: 2.09138 
[INFO] 2021-05-04 04:51:00 > Step:   54800 Progress: 54.8% Elapsed: 16:31:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.85021 Generator_loss: 1.64874 
[INFO] 2021-05-04 04:52:43 > Step:   54900 Progress: 54.9% Elapsed: 16:33:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.86977 Generator_loss: 2.28727 
[INFO] 2021-05-04 04:54:27 > Step:   55000 Progress: 55.0% Elapsed: 16:35:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.09958 Generator_loss: 1.40944 
[INFO] 2021-05-04 04:56:10 > Step:   55100 Progress: 55.1% Elapsed: 16:36:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.77167 Generator_loss: 2.05319 
[INFO] 2021-05-04 04:57:52 > Step:   55200 Progress: 55.2% Elapsed: 16:38:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.78246 Generator_loss: 1.78673 
[INFO] 2021-05-04 04:59:35 > Step:   55300 Progress: 55.3% Elapsed: 16:40:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.76067 Generator_loss: 1.85052 
[INFO] 2021-05-04 05:01:18 > Step:   55400 Progress: 55.4% Elapsed: 16:41:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.69462 Generator_loss: 2.06849 
[INFO] 2021-05-04 05:03:01 > Step:   55500 Progress: 55.5% Elapsed: 16:43:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.84615 Generator_loss: 1.52382 
[INFO] 2021-05-04 05:04:44 > Step:   55600 Progress: 55.6% Elapsed: 16:45:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.87748 Generator_loss: 1.95502 
[INFO] 2021-05-04 05:06:27 > Step:   55700 Progress: 55.7% Elapsed: 16:47:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.68964 Generator_loss: 1.77652 
[INFO] 2021-05-04 05:08:11 > Step:   55800 Progress: 55.8% Elapsed: 16:48:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.84392 Generator_loss: 2.32547 
[INFO] 2021-05-04 05:09:52 > Step:   55900 Progress: 55.9% Elapsed: 16:50:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.82268 Generator_loss: 1.6416 
[INFO] 2021-05-04 05:11:29 > Step:   56000 Progress: 56.0% Elapsed: 16:52:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.85475 Generator_loss: 2.34603 
[INFO] 2021-05-04 05:11:29 > Start Evaluation (56000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 05:11:29 > Calculating FID Score....
[INFO] 2021-05-04 05:12:02 > Calculating Inception Score....
[INFO] 2021-05-04 05:12:19 > Calculate F_beta Score....
[INFO] 2021-05-04 05:13:12 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 05:13:12 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 05:13:13 > Calculate Accuracies....
[INFO] 2021-05-04 05:13:20 > Calculate Accuracies....
[INFO] 2021-05-04 05:13:21 > F_8 score (Step: 56000, Using test images): 0.9946857784513395
[INFO] 2021-05-04 05:13:21 > F_1/8 score (Step: 56000, Using test images): 0.9957900365809915
[INFO] 2021-05-04 05:13:21 > FID score (Step: 56000, Using test moments): 7.455055413677542
[INFO] 2021-05-04 05:13:21 > Inception score (Step: 56000, 10000 generated images): 9.910141944885254
[INFO] 2021-05-04 05:13:21 > Best FID score (Step: 56000, Using test moments): 7.455055413677542
[INFO] 2021-05-04 05:13:24 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 05:15:08 > Step:   56100 Progress: 56.1% Elapsed: 16:55:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.7036 Generator_loss: 2.14507 
[INFO] 2021-05-04 05:16:51 > Step:   56200 Progress: 56.2% Elapsed: 16:57:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.85783 Generator_loss: 2.00233 
[INFO] 2021-05-04 05:18:35 > Step:   56300 Progress: 56.3% Elapsed: 16:59:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.91454 Generator_loss: 1.68296 
[INFO] 2021-05-04 05:20:19 > Step:   56400 Progress: 56.4% Elapsed: 17:00:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.66593 Generator_loss: 1.79806 
[INFO] 2021-05-04 05:22:02 > Step:   56500 Progress: 56.5% Elapsed: 17:02:36 temperature: 0.5 ada_p: No Discriminator_loss: 3.05662 Generator_loss: 1.91312 
[INFO] 2021-05-04 05:23:45 > Step:   56600 Progress: 56.6% Elapsed: 17:04:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.89245 Generator_loss: 2.21181 
[INFO] 2021-05-04 05:25:28 > Step:   56700 Progress: 56.7% Elapsed: 17:06:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.79587 Generator_loss: 2.0868 
[INFO] 2021-05-04 05:27:12 > Step:   56800 Progress: 56.8% Elapsed: 17:07:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.86148 Generator_loss: 1.97262 
[INFO] 2021-05-04 05:28:55 > Step:   56900 Progress: 56.9% Elapsed: 17:09:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.92256 Generator_loss: 1.37438 
[INFO] 2021-05-04 05:30:39 > Step:   57000 Progress: 57.0% Elapsed: 17:11:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.74607 Generator_loss: 1.77666 
[INFO] 2021-05-04 05:32:22 > Step:   57100 Progress: 57.1% Elapsed: 17:12:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.69143 Generator_loss: 1.65196 
[INFO] 2021-05-04 05:34:05 > Step:   57200 Progress: 57.2% Elapsed: 17:14:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.82341 Generator_loss: 1.44492 
[INFO] 2021-05-04 05:35:48 > Step:   57300 Progress: 57.3% Elapsed: 17:16:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.80744 Generator_loss: 1.54971 
[INFO] 2021-05-04 05:37:32 > Step:   57400 Progress: 57.4% Elapsed: 17:18:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.7903 Generator_loss: 1.74487 
[INFO] 2021-05-04 05:39:16 > Step:   57500 Progress: 57.5% Elapsed: 17:19:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.72877 Generator_loss: 1.95878 
[INFO] 2021-05-04 05:40:59 > Step:   57600 Progress: 57.6% Elapsed: 17:21:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.81855 Generator_loss: 1.82225 
[INFO] 2021-05-04 05:42:43 > Step:   57700 Progress: 57.7% Elapsed: 17:23:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.90486 Generator_loss: 1.68653 
[INFO] 2021-05-04 05:44:27 > Step:   57800 Progress: 57.8% Elapsed: 17:25:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.90967 Generator_loss: 1.65105 
[INFO] 2021-05-04 05:46:09 > Step:   57900 Progress: 57.9% Elapsed: 17:26:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.72041 Generator_loss: 2.1862 
[INFO] 2021-05-04 05:47:46 > Step:   58000 Progress: 58.0% Elapsed: 17:28:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.61538 Generator_loss: 2.16851 
[INFO] 2021-05-04 05:47:46 > Start Evaluation (58000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 05:47:46 > Calculating FID Score....
[INFO] 2021-05-04 05:48:19 > Calculating Inception Score....
[INFO] 2021-05-04 05:48:36 > Calculate F_beta Score....
[INFO] 2021-05-04 05:49:31 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 05:49:31 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 05:49:32 > Calculate Accuracies....
[INFO] 2021-05-04 05:49:38 > Calculate Accuracies....
[INFO] 2021-05-04 05:49:40 > F_8 score (Step: 58000, Using test images): 0.9924623948277357
[INFO] 2021-05-04 05:49:40 > F_1/8 score (Step: 58000, Using test images): 0.9965683877464402
[INFO] 2021-05-04 05:49:40 > FID score (Step: 58000, Using test moments): 7.302332226782482
[INFO] 2021-05-04 05:49:40 > Inception score (Step: 58000, 10000 generated images): 9.989758491516113
[INFO] 2021-05-04 05:49:40 > Best FID score (Step: 58000, Using test moments): 7.302332226782482
[INFO] 2021-05-04 05:49:42 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 05:51:26 > Step:   58100 Progress: 58.1% Elapsed: 17:32:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.85145 Generator_loss: 1.2647 
[INFO] 2021-05-04 05:53:11 > Step:   58200 Progress: 58.2% Elapsed: 17:33:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.97842 Generator_loss: 1.22642 
[INFO] 2021-05-04 05:54:54 > Step:   58300 Progress: 58.3% Elapsed: 17:35:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.90442 Generator_loss: 2.02361 
[INFO] 2021-05-04 05:56:36 > Step:   58400 Progress: 58.4% Elapsed: 17:37:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.69931 Generator_loss: 1.87518 
[INFO] 2021-05-04 05:58:20 > Step:   58500 Progress: 58.5% Elapsed: 17:38:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.79728 Generator_loss: 2.16224 
[INFO] 2021-05-04 06:00:03 > Step:   58600 Progress: 58.6% Elapsed: 17:40:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.73148 Generator_loss: 1.44163 
[INFO] 2021-05-04 06:01:46 > Step:   58700 Progress: 58.7% Elapsed: 17:42:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.73539 Generator_loss: 1.90277 
[INFO] 2021-05-04 06:03:29 > Step:   58800 Progress: 58.8% Elapsed: 17:44:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.79758 Generator_loss: 2.13281 
[INFO] 2021-05-04 06:05:13 > Step:   58900 Progress: 58.9% Elapsed: 17:45:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.75541 Generator_loss: 1.99762 
[INFO] 2021-05-04 06:06:56 > Step:   59000 Progress: 59.0% Elapsed: 17:47:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.85342 Generator_loss: 2.39838 
[INFO] 2021-05-04 06:08:38 > Step:   59100 Progress: 59.1% Elapsed: 17:49:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.80201 Generator_loss: 1.67173 
[INFO] 2021-05-04 06:10:21 > Step:   59200 Progress: 59.2% Elapsed: 17:50:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.776 Generator_loss: 1.48568 
[INFO] 2021-05-04 06:12:06 > Step:   59300 Progress: 59.3% Elapsed: 17:52:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.75973 Generator_loss: 2.47448 
[INFO] 2021-05-04 06:13:49 > Step:   59400 Progress: 59.4% Elapsed: 17:54:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.84554 Generator_loss: 1.71571 
[INFO] 2021-05-04 06:15:33 > Step:   59500 Progress: 59.5% Elapsed: 17:56:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.95596 Generator_loss: 1.55344 
[INFO] 2021-05-04 06:17:16 > Step:   59600 Progress: 59.6% Elapsed: 17:57:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.6407 Generator_loss: 1.70713 
[INFO] 2021-05-04 06:18:59 > Step:   59700 Progress: 59.7% Elapsed: 17:59:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.82874 Generator_loss: 1.80568 
[INFO] 2021-05-04 06:20:43 > Step:   59800 Progress: 59.8% Elapsed: 18:01:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.70275 Generator_loss: 1.95183 
[INFO] 2021-05-04 06:22:24 > Step:   59900 Progress: 59.9% Elapsed: 18:02:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.9518 Generator_loss: 1.10353 
[INFO] 2021-05-04 06:24:02 > Step:   60000 Progress: 60.0% Elapsed: 18:04:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.83312 Generator_loss: 2.24773 
[INFO] 2021-05-04 06:24:02 > Start Evaluation (60000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 06:24:02 > Calculating FID Score....
[INFO] 2021-05-04 06:24:35 > Calculating Inception Score....
[INFO] 2021-05-04 06:24:52 > Calculate F_beta Score....
[INFO] 2021-05-04 06:25:43 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 06:25:44 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 06:25:44 > Calculate Accuracies....
[INFO] 2021-05-04 06:25:51 > Calculate Accuracies....
[INFO] 2021-05-04 06:25:52 > F_8 score (Step: 60000, Using test images): 0.9944251870286629
[INFO] 2021-05-04 06:25:52 > F_1/8 score (Step: 60000, Using test images): 0.995854742287528
[INFO] 2021-05-04 06:25:52 > FID score (Step: 60000, Using test moments): 7.400483158155907
[INFO] 2021-05-04 06:25:52 > Inception score (Step: 60000, 10000 generated images): 9.948873519897461
[INFO] 2021-05-04 06:25:52 > Best FID score (Step: 58000, Using test moments): 7.302332226782482
[INFO] 2021-05-04 06:25:54 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 06:27:37 > Step:   60100 Progress: 60.1% Elapsed: 18:08:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.63533 Generator_loss: 1.78105 
[INFO] 2021-05-04 06:29:20 > Step:   60200 Progress: 60.2% Elapsed: 18:09:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.95056 Generator_loss: 1.57901 
[INFO] 2021-05-04 06:31:05 > Step:   60300 Progress: 60.3% Elapsed: 18:11:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.79659 Generator_loss: 1.99723 
[INFO] 2021-05-04 06:32:48 > Step:   60400 Progress: 60.4% Elapsed: 18:13:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.77993 Generator_loss: 1.87811 
[INFO] 2021-05-04 06:34:31 > Step:   60500 Progress: 60.5% Elapsed: 18:15:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.79735 Generator_loss: 1.97692 
[INFO] 2021-05-04 06:36:15 > Step:   60600 Progress: 60.6% Elapsed: 18:16:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.87978 Generator_loss: 1.62251 
[INFO] 2021-05-04 06:37:59 > Step:   60700 Progress: 60.7% Elapsed: 18:18:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.84224 Generator_loss: 2.10537 
[INFO] 2021-05-04 06:39:43 > Step:   60800 Progress: 60.8% Elapsed: 18:20:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.71748 Generator_loss: 1.92255 
[INFO] 2021-05-04 06:41:26 > Step:   60900 Progress: 60.9% Elapsed: 18:22:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.12679 Generator_loss: 1.29356 
[INFO] 2021-05-04 06:43:09 > Step:   61000 Progress: 61.0% Elapsed: 18:23:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.92759 Generator_loss: 1.70854 
[INFO] 2021-05-04 06:44:52 > Step:   61100 Progress: 61.1% Elapsed: 18:25:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.63759 Generator_loss: 2.0609 
[INFO] 2021-05-04 06:46:35 > Step:   61200 Progress: 61.2% Elapsed: 18:27:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.67799 Generator_loss: 1.86163 
[INFO] 2021-05-04 06:48:18 > Step:   61300 Progress: 61.3% Elapsed: 18:28:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.80213 Generator_loss: 1.83283 
[INFO] 2021-05-04 06:50:00 > Step:   61400 Progress: 61.4% Elapsed: 18:30:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.82824 Generator_loss: 1.36993 
[INFO] 2021-05-04 06:51:43 > Step:   61500 Progress: 61.5% Elapsed: 18:32:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.86215 Generator_loss: 1.37953 
[INFO] 2021-05-04 06:53:25 > Step:   61600 Progress: 61.6% Elapsed: 18:33:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.86797 Generator_loss: 1.39905 
[INFO] 2021-05-04 06:55:09 > Step:   61700 Progress: 61.7% Elapsed: 18:35:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.76573 Generator_loss: 1.76788 
[INFO] 2021-05-04 06:56:52 > Step:   61800 Progress: 61.8% Elapsed: 18:37:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.7495 Generator_loss: 1.81859 
[INFO] 2021-05-04 06:58:34 > Step:   61900 Progress: 61.9% Elapsed: 18:39:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.76895 Generator_loss: 1.84218 
[INFO] 2021-05-04 07:00:11 > Step:   62000 Progress: 62.0% Elapsed: 18:40:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.83412 Generator_loss: 1.59374 
[INFO] 2021-05-04 07:00:11 > Start Evaluation (62000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 07:00:11 > Calculating FID Score....
[INFO] 2021-05-04 07:00:44 > Calculating Inception Score....
[INFO] 2021-05-04 07:01:01 > Calculate F_beta Score....
[INFO] 2021-05-04 07:01:54 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 07:01:55 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 07:01:55 > Calculate Accuracies....
[INFO] 2021-05-04 07:02:02 > Calculate Accuracies....
[INFO] 2021-05-04 07:02:04 > F_8 score (Step: 62000, Using test images): 0.9964264526877277
[INFO] 2021-05-04 07:02:04 > F_1/8 score (Step: 62000, Using test images): 0.9965831549236333
[INFO] 2021-05-04 07:02:04 > FID score (Step: 62000, Using test moments): 7.299047383783147
[INFO] 2021-05-04 07:02:04 > Inception score (Step: 62000, 10000 generated images): 9.91730785369873
[INFO] 2021-05-04 07:02:04 > Best FID score (Step: 62000, Using test moments): 7.299047383783147
[INFO] 2021-05-04 07:02:06 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 07:03:50 > Step:   62100 Progress: 62.1% Elapsed: 18:44:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.77199 Generator_loss: 2.18162 
[INFO] 2021-05-04 07:05:33 > Step:   62200 Progress: 62.2% Elapsed: 18:46:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.83624 Generator_loss: 2.08252 
[INFO] 2021-05-04 07:07:16 > Step:   62300 Progress: 62.3% Elapsed: 18:47:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.64373 Generator_loss: 2.06683 
[INFO] 2021-05-04 07:08:59 > Step:   62400 Progress: 62.4% Elapsed: 18:49:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.8792 Generator_loss: 1.83026 
[INFO] 2021-05-04 07:10:42 > Step:   62500 Progress: 62.5% Elapsed: 18:51:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.72882 Generator_loss: 2.16104 
[INFO] 2021-05-04 07:12:25 > Step:   62600 Progress: 62.6% Elapsed: 18:52:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.7253 Generator_loss: 2.04081 
[INFO] 2021-05-04 07:14:08 > Step:   62700 Progress: 62.7% Elapsed: 18:54:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.67742 Generator_loss: 1.75178 
[INFO] 2021-05-04 07:15:51 > Step:   62800 Progress: 62.8% Elapsed: 18:56:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.65999 Generator_loss: 1.86596 
[INFO] 2021-05-04 07:17:33 > Step:   62900 Progress: 62.9% Elapsed: 18:58:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.72605 Generator_loss: 1.62094 
[INFO] 2021-05-04 07:19:16 > Step:   63000 Progress: 63.0% Elapsed: 18:59:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.84985 Generator_loss: 1.88524 
[INFO] 2021-05-04 07:20:58 > Step:   63100 Progress: 63.1% Elapsed: 19:01:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.79647 Generator_loss: 1.93887 
[INFO] 2021-05-04 07:22:42 > Step:   63200 Progress: 63.2% Elapsed: 19:03:15 temperature: 0.5 ada_p: No Discriminator_loss: 3.01498 Generator_loss: 1.35133 
[INFO] 2021-05-04 07:24:25 > Step:   63300 Progress: 63.3% Elapsed: 19:04:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.7931 Generator_loss: 2.22394 
[INFO] 2021-05-04 07:26:07 > Step:   63400 Progress: 63.4% Elapsed: 19:06:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.78864 Generator_loss: 2.09958 
[INFO] 2021-05-04 07:27:50 > Step:   63500 Progress: 63.5% Elapsed: 19:08:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.86237 Generator_loss: 1.84037 
[INFO] 2021-05-04 07:29:32 > Step:   63600 Progress: 63.6% Elapsed: 19:10:06 temperature: 0.5 ada_p: No Discriminator_loss: 3.05262 Generator_loss: 1.18153 
[INFO] 2021-05-04 07:31:14 > Step:   63700 Progress: 63.7% Elapsed: 19:11:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.82237 Generator_loss: 2.22557 
[INFO] 2021-05-04 07:32:56 > Step:   63800 Progress: 63.8% Elapsed: 19:13:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.7668 Generator_loss: 1.12096 
[INFO] 2021-05-04 07:34:37 > Step:   63900 Progress: 63.9% Elapsed: 19:15:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.91657 Generator_loss: 1.18282 
[INFO] 2021-05-04 07:36:14 > Step:   64000 Progress: 64.0% Elapsed: 19:16:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.84183 Generator_loss: 1.80966 
[INFO] 2021-05-04 07:36:14 > Start Evaluation (64000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 07:36:14 > Calculating FID Score....
[INFO] 2021-05-04 07:36:46 > Calculating Inception Score....
[INFO] 2021-05-04 07:37:03 > Calculate F_beta Score....
[INFO] 2021-05-04 07:37:55 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 07:37:56 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 07:37:57 > Calculate Accuracies....
[INFO] 2021-05-04 07:38:03 > Calculate Accuracies....
[INFO] 2021-05-04 07:38:07 > F_8 score (Step: 64000, Using test images): 0.995744141806929
[INFO] 2021-05-04 07:38:07 > F_1/8 score (Step: 64000, Using test images): 0.9964262598841809
[INFO] 2021-05-04 07:38:07 > FID score (Step: 64000, Using test moments): 7.37637434979672
[INFO] 2021-05-04 07:38:07 > Inception score (Step: 64000, 10000 generated images): 10.02843189239502
[INFO] 2021-05-04 07:38:07 > Best FID score (Step: 62000, Using test moments): 7.299047383783147
[INFO] 2021-05-04 07:38:08 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 07:39:51 > Step:   64100 Progress: 64.1% Elapsed: 19:20:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.81505 Generator_loss: 1.66326 
[INFO] 2021-05-04 07:41:35 > Step:   64200 Progress: 64.2% Elapsed: 19:22:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.90367 Generator_loss: 1.23173 
[INFO] 2021-05-04 07:43:18 > Step:   64300 Progress: 64.3% Elapsed: 19:23:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.97714 Generator_loss: 1.12805 
[INFO] 2021-05-04 07:45:01 > Step:   64400 Progress: 64.4% Elapsed: 19:25:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.77111 Generator_loss: 1.65049 
[INFO] 2021-05-04 07:46:44 > Step:   64500 Progress: 64.5% Elapsed: 19:27:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.87401 Generator_loss: 1.97527 
[INFO] 2021-05-04 07:48:27 > Step:   64600 Progress: 64.6% Elapsed: 19:29:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.83487 Generator_loss: 1.84829 
[INFO] 2021-05-04 07:50:10 > Step:   64700 Progress: 64.7% Elapsed: 19:30:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.83261 Generator_loss: 1.74868 
[INFO] 2021-05-04 07:51:53 > Step:   64800 Progress: 64.8% Elapsed: 19:32:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.83077 Generator_loss: 1.97511 
[INFO] 2021-05-04 07:53:37 > Step:   64900 Progress: 64.9% Elapsed: 19:34:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.69211 Generator_loss: 1.48243 
[INFO] 2021-05-04 07:55:20 > Step:   65000 Progress: 65.0% Elapsed: 19:35:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.79374 Generator_loss: 1.81562 
[INFO] 2021-05-04 07:57:03 > Step:   65100 Progress: 65.1% Elapsed: 19:37:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.68827 Generator_loss: 1.7635 
[INFO] 2021-05-04 07:58:46 > Step:   65200 Progress: 65.2% Elapsed: 19:39:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.7047 Generator_loss: 1.66958 
[INFO] 2021-05-04 08:00:30 > Step:   65300 Progress: 65.3% Elapsed: 19:41:04 temperature: 0.5 ada_p: No Discriminator_loss: 3.1869 Generator_loss: 0.798962 
[INFO] 2021-05-04 08:02:14 > Step:   65400 Progress: 65.4% Elapsed: 19:42:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.67963 Generator_loss: 2.12055 
[INFO] 2021-05-04 08:03:58 > Step:   65500 Progress: 65.5% Elapsed: 19:44:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.76692 Generator_loss: 1.892 
[INFO] 2021-05-04 08:05:42 > Step:   65600 Progress: 65.6% Elapsed: 19:46:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.86096 Generator_loss: 1.50963 
[INFO] 2021-05-04 08:07:25 > Step:   65700 Progress: 65.7% Elapsed: 19:47:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.77798 Generator_loss: 1.77755 
[INFO] 2021-05-04 08:09:08 > Step:   65800 Progress: 65.8% Elapsed: 19:49:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.65751 Generator_loss: 1.43392 
[INFO] 2021-05-04 08:10:48 > Step:   65900 Progress: 65.9% Elapsed: 19:51:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.7675 Generator_loss: 1.92417 
[INFO] 2021-05-04 08:12:26 > Step:   66000 Progress: 66.0% Elapsed: 19:53:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.66523 Generator_loss: 2.07244 
[INFO] 2021-05-04 08:12:26 > Start Evaluation (66000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 08:12:26 > Calculating FID Score....
[INFO] 2021-05-04 08:12:59 > Calculating Inception Score....
[INFO] 2021-05-04 08:13:16 > Calculate F_beta Score....
[INFO] 2021-05-04 08:14:11 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 08:14:11 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 08:14:12 > Calculate Accuracies....
[INFO] 2021-05-04 08:14:18 > Calculate Accuracies....
[INFO] 2021-05-04 08:14:20 > F_8 score (Step: 66000, Using test images): 0.9952650199284686
[INFO] 2021-05-04 08:14:20 > F_1/8 score (Step: 66000, Using test images): 0.9954657662504103
[INFO] 2021-05-04 08:14:20 > FID score (Step: 66000, Using test moments): 7.25139155483771
[INFO] 2021-05-04 08:14:20 > Inception score (Step: 66000, 10000 generated images): 9.900190353393555
[INFO] 2021-05-04 08:14:20 > Best FID score (Step: 66000, Using test moments): 7.25139155483771
[INFO] 2021-05-04 08:14:23 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 08:16:07 > Step:   66100 Progress: 66.1% Elapsed: 19:56:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.77425 Generator_loss: 2.24384 
[INFO] 2021-05-04 08:17:50 > Step:   66200 Progress: 66.2% Elapsed: 19:58:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.77906 Generator_loss: 2.35108 
[INFO] 2021-05-04 08:19:34 > Step:   66300 Progress: 66.3% Elapsed: 20:00:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.71916 Generator_loss: 1.84263 
[INFO] 2021-05-04 08:21:18 > Step:   66400 Progress: 66.4% Elapsed: 20:01:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.75735 Generator_loss: 1.61206 
[INFO] 2021-05-04 08:22:59 > Step:   66500 Progress: 66.5% Elapsed: 20:03:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.79756 Generator_loss: 2.02936 
[INFO] 2021-05-04 08:24:42 > Step:   66600 Progress: 66.6% Elapsed: 20:05:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.80139 Generator_loss: 1.60117 
[INFO] 2021-05-04 08:26:25 > Step:   66700 Progress: 66.7% Elapsed: 20:06:59 temperature: 0.5 ada_p: No Discriminator_loss: 3.00104 Generator_loss: 1.48634 
[INFO] 2021-05-04 08:28:09 > Step:   66800 Progress: 66.8% Elapsed: 20:08:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.7826 Generator_loss: 1.86981 
[INFO] 2021-05-04 08:29:53 > Step:   66900 Progress: 66.9% Elapsed: 20:10:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.76418 Generator_loss: 2.21574 
[INFO] 2021-05-04 08:31:37 > Step:   67000 Progress: 67.0% Elapsed: 20:12:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.74387 Generator_loss: 2.16583 
[INFO] 2021-05-04 08:33:22 > Step:   67100 Progress: 67.1% Elapsed: 20:13:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.94168 Generator_loss: 1.20724 
[INFO] 2021-05-04 08:35:05 > Step:   67200 Progress: 67.2% Elapsed: 20:15:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.72821 Generator_loss: 2.03932 
[INFO] 2021-05-04 08:36:49 > Step:   67300 Progress: 67.3% Elapsed: 20:17:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.94605 Generator_loss: 1.62958 
[INFO] 2021-05-04 08:38:34 > Step:   67400 Progress: 67.4% Elapsed: 20:19:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.76438 Generator_loss: 1.68389 
[INFO] 2021-05-04 08:40:18 > Step:   67500 Progress: 67.5% Elapsed: 20:20:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.86798 Generator_loss: 1.59201 
[INFO] 2021-05-04 08:42:02 > Step:   67600 Progress: 67.6% Elapsed: 20:22:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.86461 Generator_loss: 1.53127 
[INFO] 2021-05-04 08:43:46 > Step:   67700 Progress: 67.7% Elapsed: 20:24:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.80348 Generator_loss: 2.03981 
[INFO] 2021-05-04 08:45:30 > Step:   67800 Progress: 67.8% Elapsed: 20:26:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.76733 Generator_loss: 1.66249 
[INFO] 2021-05-04 08:47:10 > Step:   67900 Progress: 67.9% Elapsed: 20:27:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.83971 Generator_loss: 2.21576 
[INFO] 2021-05-04 08:48:49 > Step:   68000 Progress: 68.0% Elapsed: 20:29:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.68219 Generator_loss: 1.88617 
[INFO] 2021-05-04 08:48:49 > Start Evaluation (68000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 08:48:49 > Calculating FID Score....
[INFO] 2021-05-04 08:49:22 > Calculating Inception Score....
[INFO] 2021-05-04 08:49:39 > Calculate F_beta Score....
[INFO] 2021-05-04 08:50:32 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 08:50:33 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 08:50:33 > Calculate Accuracies....
[INFO] 2021-05-04 08:50:40 > Calculate Accuracies....
[INFO] 2021-05-04 08:50:42 > F_8 score (Step: 68000, Using test images): 0.9945007523967753
[INFO] 2021-05-04 08:50:42 > F_1/8 score (Step: 68000, Using test images): 0.9953616817443544
[INFO] 2021-05-04 08:50:42 > FID score (Step: 68000, Using test moments): 7.300580528376827
[INFO] 2021-05-04 08:50:42 > Inception score (Step: 68000, 10000 generated images): 10.115643501281738
[INFO] 2021-05-04 08:50:42 > Best FID score (Step: 66000, Using test moments): 7.25139155483771
[INFO] 2021-05-04 08:50:43 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 08:52:28 > Step:   68100 Progress: 68.1% Elapsed: 20:33:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.80173 Generator_loss: 1.97077 
[INFO] 2021-05-04 08:54:11 > Step:   68200 Progress: 68.2% Elapsed: 20:34:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.7386 Generator_loss: 1.75339 
[INFO] 2021-05-04 08:55:54 > Step:   68300 Progress: 68.3% Elapsed: 20:36:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.77345 Generator_loss: 1.72095 
[INFO] 2021-05-04 08:57:37 > Step:   68400 Progress: 68.4% Elapsed: 20:38:11 temperature: 0.5 ada_p: No Discriminator_loss: 3.12151 Generator_loss: 1.02998 
[INFO] 2021-05-04 08:59:20 > Step:   68500 Progress: 68.5% Elapsed: 20:39:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.87015 Generator_loss: 1.51617 
[INFO] 2021-05-04 09:01:03 > Step:   68600 Progress: 68.6% Elapsed: 20:41:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.86592 Generator_loss: 1.23152 
[INFO] 2021-05-04 09:02:46 > Step:   68700 Progress: 68.7% Elapsed: 20:43:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.7728 Generator_loss: 1.50387 
[INFO] 2021-05-04 09:04:30 > Step:   68800 Progress: 68.8% Elapsed: 20:45:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.65825 Generator_loss: 1.5416 
[INFO] 2021-05-04 09:06:14 > Step:   68900 Progress: 68.9% Elapsed: 20:46:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.93667 Generator_loss: 2.02511 
[INFO] 2021-05-04 09:07:58 > Step:   69000 Progress: 69.0% Elapsed: 20:48:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.70672 Generator_loss: 2.02398 
[INFO] 2021-05-04 09:09:41 > Step:   69100 Progress: 69.1% Elapsed: 20:50:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.84873 Generator_loss: 1.51874 
[INFO] 2021-05-04 09:11:25 > Step:   69200 Progress: 69.2% Elapsed: 20:51:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.92694 Generator_loss: 1.55657 
[INFO] 2021-05-04 09:13:09 > Step:   69300 Progress: 69.3% Elapsed: 20:53:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.75447 Generator_loss: 1.89668 
[INFO] 2021-05-04 09:14:52 > Step:   69400 Progress: 69.4% Elapsed: 20:55:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.80741 Generator_loss: 1.72453 
[INFO] 2021-05-04 09:16:36 > Step:   69500 Progress: 69.5% Elapsed: 20:57:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.81085 Generator_loss: 1.82175 
[INFO] 2021-05-04 09:18:18 > Step:   69600 Progress: 69.6% Elapsed: 20:58:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.72389 Generator_loss: 1.98733 
[INFO] 2021-05-04 09:20:01 > Step:   69700 Progress: 69.7% Elapsed: 21:00:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.683 Generator_loss: 1.72873 
[INFO] 2021-05-04 09:21:44 > Step:   69800 Progress: 69.8% Elapsed: 21:02:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.76426 Generator_loss: 1.87691 
[INFO] 2021-05-04 09:23:23 > Step:   69900 Progress: 69.9% Elapsed: 21:03:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.73704 Generator_loss: 1.58137 
[INFO] 2021-05-04 09:25:03 > Step:   70000 Progress: 70.0% Elapsed: 21:05:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.59325 Generator_loss: 2.13446 
[INFO] 2021-05-04 09:25:03 > Start Evaluation (70000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 09:25:03 > Calculating FID Score....
[INFO] 2021-05-04 09:25:36 > Calculating Inception Score....
[INFO] 2021-05-04 09:25:53 > Calculate F_beta Score....
[INFO] 2021-05-04 09:26:47 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 09:26:47 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 09:26:48 > Calculate Accuracies....
[INFO] 2021-05-04 09:26:54 > Calculate Accuracies....
[INFO] 2021-05-04 09:26:56 > F_8 score (Step: 70000, Using test images): 0.9933419689810836
[INFO] 2021-05-04 09:26:56 > F_1/8 score (Step: 70000, Using test images): 0.9955460414811275
[INFO] 2021-05-04 09:26:56 > FID score (Step: 70000, Using test moments): 7.290244111061384
[INFO] 2021-05-04 09:26:56 > Inception score (Step: 70000, 10000 generated images): 9.865710258483887
[INFO] 2021-05-04 09:26:56 > Best FID score (Step: 66000, Using test moments): 7.25139155483771
[INFO] 2021-05-04 09:26:57 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 09:28:41 > Step:   70100 Progress: 70.1% Elapsed: 21:09:15 temperature: 0.5 ada_p: No Discriminator_loss: 3.25383 Generator_loss: 0.970418 
[INFO] 2021-05-04 09:30:25 > Step:   70200 Progress: 70.2% Elapsed: 21:10:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.84693 Generator_loss: 1.78305 
[INFO] 2021-05-04 09:32:09 > Step:   70300 Progress: 70.3% Elapsed: 21:12:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.85834 Generator_loss: 1.27402 
[INFO] 2021-05-04 09:33:53 > Step:   70400 Progress: 70.4% Elapsed: 21:14:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.67194 Generator_loss: 1.8901 
[INFO] 2021-05-04 09:35:36 > Step:   70500 Progress: 70.5% Elapsed: 21:16:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.73393 Generator_loss: 1.9982 
[INFO] 2021-05-04 09:37:21 > Step:   70600 Progress: 70.6% Elapsed: 21:17:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.79937 Generator_loss: 2.31414 
[INFO] 2021-05-04 09:39:04 > Step:   70700 Progress: 70.7% Elapsed: 21:19:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.97415 Generator_loss: 2.04995 
[INFO] 2021-05-04 09:40:49 > Step:   70800 Progress: 70.8% Elapsed: 21:21:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.90213 Generator_loss: 1.31136 
[INFO] 2021-05-04 09:42:33 > Step:   70900 Progress: 70.9% Elapsed: 21:23:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.73719 Generator_loss: 1.76721 
[INFO] 2021-05-04 09:44:17 > Step:   71000 Progress: 71.0% Elapsed: 21:24:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.74278 Generator_loss: 2.02181 
[INFO] 2021-05-04 09:46:00 > Step:   71100 Progress: 71.1% Elapsed: 21:26:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.97652 Generator_loss: 1.86345 
[INFO] 2021-05-04 09:47:44 > Step:   71200 Progress: 71.2% Elapsed: 21:28:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.69802 Generator_loss: 2.18504 
[INFO] 2021-05-04 09:49:28 > Step:   71300 Progress: 71.3% Elapsed: 21:30:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.97035 Generator_loss: 1.24403 
[INFO] 2021-05-04 09:51:12 > Step:   71400 Progress: 71.4% Elapsed: 21:31:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.71488 Generator_loss: 2.31351 
[INFO] 2021-05-04 09:52:56 > Step:   71500 Progress: 71.5% Elapsed: 21:33:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.78753 Generator_loss: 1.87899 
[INFO] 2021-05-04 09:54:40 > Step:   71600 Progress: 71.6% Elapsed: 21:35:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.84763 Generator_loss: 1.77614 
[INFO] 2021-05-04 09:56:24 > Step:   71700 Progress: 71.7% Elapsed: 21:36:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.874 Generator_loss: 1.82509 
[INFO] 2021-05-04 09:58:08 > Step:   71800 Progress: 71.8% Elapsed: 21:38:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.7612 Generator_loss: 2.1301 
[INFO] 2021-05-04 09:59:44 > Step:   71900 Progress: 71.9% Elapsed: 21:40:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.94155 Generator_loss: 1.09572 
[INFO] 2021-05-04 10:01:27 > Step:   72000 Progress: 72.0% Elapsed: 21:42:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.64544 Generator_loss: 1.73318 
[INFO] 2021-05-04 10:01:27 > Start Evaluation (72000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 10:01:27 > Calculating FID Score....
[INFO] 2021-05-04 10:02:00 > Calculating Inception Score....
[INFO] 2021-05-04 10:02:17 > Calculate F_beta Score....
[INFO] 2021-05-04 10:03:10 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 10:03:11 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 10:03:12 > Calculate Accuracies....
[INFO] 2021-05-04 10:03:18 > Calculate Accuracies....
[INFO] 2021-05-04 10:03:20 > F_8 score (Step: 72000, Using test images): 0.99475299172863
[INFO] 2021-05-04 10:03:20 > F_1/8 score (Step: 72000, Using test images): 0.9949492623970341
[INFO] 2021-05-04 10:03:20 > FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 10:03:20 > Inception score (Step: 72000, 10000 generated images): 10.056063652038574
[INFO] 2021-05-04 10:03:20 > Best FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 10:03:22 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 10:05:05 > Step:   72100 Progress: 72.1% Elapsed: 21:45:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.71578 Generator_loss: 1.99518 
[INFO] 2021-05-04 10:06:49 > Step:   72200 Progress: 72.2% Elapsed: 21:47:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.73468 Generator_loss: 2.09644 
[INFO] 2021-05-04 10:08:32 > Step:   72300 Progress: 72.3% Elapsed: 21:49:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.64457 Generator_loss: 2.10264 
[INFO] 2021-05-04 10:10:16 > Step:   72400 Progress: 72.4% Elapsed: 21:50:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.73963 Generator_loss: 2.11531 
[INFO] 2021-05-04 10:11:59 > Step:   72500 Progress: 72.5% Elapsed: 21:52:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.55816 Generator_loss: 2.21864 
[INFO] 2021-05-04 10:13:43 > Step:   72600 Progress: 72.6% Elapsed: 21:54:17 temperature: 0.5 ada_p: No Discriminator_loss: 3.11665 Generator_loss: 1.18586 
[INFO] 2021-05-04 10:15:28 > Step:   72700 Progress: 72.7% Elapsed: 21:56:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.73142 Generator_loss: 1.68775 
[INFO] 2021-05-04 10:17:12 > Step:   72800 Progress: 72.8% Elapsed: 21:57:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.69403 Generator_loss: 2.43721 
[INFO] 2021-05-04 10:18:56 > Step:   72900 Progress: 72.9% Elapsed: 21:59:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.71194 Generator_loss: 2.02251 
[INFO] 2021-05-04 10:20:40 > Step:   73000 Progress: 73.0% Elapsed: 22:01:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.77743 Generator_loss: 2.06807 
[INFO] 2021-05-04 10:22:23 > Step:   73100 Progress: 73.1% Elapsed: 22:02:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.85119 Generator_loss: 1.79571 
[INFO] 2021-05-04 10:24:07 > Step:   73200 Progress: 73.2% Elapsed: 22:04:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.96024 Generator_loss: 1.15874 
[INFO] 2021-05-04 10:25:51 > Step:   73300 Progress: 73.3% Elapsed: 22:06:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.69017 Generator_loss: 1.92669 
[INFO] 2021-05-04 10:27:36 > Step:   73400 Progress: 73.4% Elapsed: 22:08:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.75821 Generator_loss: 1.82625 
[INFO] 2021-05-04 10:29:18 > Step:   73500 Progress: 73.5% Elapsed: 22:09:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.74268 Generator_loss: 1.86612 
[INFO] 2021-05-04 10:31:01 > Step:   73600 Progress: 73.6% Elapsed: 22:11:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.80212 Generator_loss: 1.65743 
[INFO] 2021-05-04 10:32:44 > Step:   73700 Progress: 73.7% Elapsed: 22:13:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.79919 Generator_loss: 1.59501 
[INFO] 2021-05-04 10:34:25 > Step:   73800 Progress: 73.8% Elapsed: 22:14:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.87145 Generator_loss: 1.70665 
[INFO] 2021-05-04 10:36:02 > Step:   73900 Progress: 73.9% Elapsed: 22:16:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.73979 Generator_loss: 1.93268 
[INFO] 2021-05-04 10:37:45 > Step:   74000 Progress: 74.0% Elapsed: 22:18:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.68734 Generator_loss: 1.86911 
[INFO] 2021-05-04 10:37:45 > Start Evaluation (74000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 10:37:45 > Calculating FID Score....
[INFO] 2021-05-04 10:38:17 > Calculating Inception Score....
[INFO] 2021-05-04 10:38:34 > Calculate F_beta Score....
[INFO] 2021-05-04 10:39:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 10:39:28 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 10:39:29 > Calculate Accuracies....
[INFO] 2021-05-04 10:39:36 > Calculate Accuracies....
[INFO] 2021-05-04 10:39:37 > F_8 score (Step: 74000, Using test images): 0.9935629131686933
[INFO] 2021-05-04 10:39:37 > F_1/8 score (Step: 74000, Using test images): 0.9951365730998054
[INFO] 2021-05-04 10:39:37 > FID score (Step: 74000, Using test moments): 7.334534929793676
[INFO] 2021-05-04 10:39:37 > Inception score (Step: 74000, 10000 generated images): 9.806367874145508
[INFO] 2021-05-04 10:39:37 > Best FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 10:39:39 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 10:41:21 > Step:   74100 Progress: 74.1% Elapsed: 22:21:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.71261 Generator_loss: 2.18307 
[INFO] 2021-05-04 10:43:04 > Step:   74200 Progress: 74.2% Elapsed: 22:23:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.76899 Generator_loss: 1.82746 
[INFO] 2021-05-04 10:44:48 > Step:   74300 Progress: 74.3% Elapsed: 22:25:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.6876 Generator_loss: 1.8632 
[INFO] 2021-05-04 10:46:30 > Step:   74400 Progress: 74.4% Elapsed: 22:27:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.67941 Generator_loss: 1.85255 
[INFO] 2021-05-04 10:48:12 > Step:   74500 Progress: 74.5% Elapsed: 22:28:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.78116 Generator_loss: 2.10703 
[INFO] 2021-05-04 10:49:54 > Step:   74600 Progress: 74.6% Elapsed: 22:30:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.87685 Generator_loss: 1.6615 
[INFO] 2021-05-04 10:51:37 > Step:   74700 Progress: 74.7% Elapsed: 22:32:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.79005 Generator_loss: 2.00528 
[INFO] 2021-05-04 10:53:20 > Step:   74800 Progress: 74.8% Elapsed: 22:33:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.82087 Generator_loss: 1.6533 
[INFO] 2021-05-04 10:55:03 > Step:   74900 Progress: 74.9% Elapsed: 22:35:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.78869 Generator_loss: 1.85093 
[INFO] 2021-05-04 10:56:46 > Step:   75000 Progress: 75.0% Elapsed: 22:37:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.71547 Generator_loss: 1.87386 
[INFO] 2021-05-04 10:58:29 > Step:   75100 Progress: 75.1% Elapsed: 22:39:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.88659 Generator_loss: 2.21297 
[INFO] 2021-05-04 11:00:12 > Step:   75200 Progress: 75.2% Elapsed: 22:40:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.54546 Generator_loss: 2.36165 
[INFO] 2021-05-04 11:01:55 > Step:   75300 Progress: 75.3% Elapsed: 22:42:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.82784 Generator_loss: 2.04878 
[INFO] 2021-05-04 11:03:37 > Step:   75400 Progress: 75.4% Elapsed: 22:44:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.83461 Generator_loss: 1.74899 
[INFO] 2021-05-04 11:05:19 > Step:   75500 Progress: 75.5% Elapsed: 22:45:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.84332 Generator_loss: 1.53817 
[INFO] 2021-05-04 11:07:04 > Step:   75600 Progress: 75.6% Elapsed: 22:47:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.73537 Generator_loss: 2.26216 
[INFO] 2021-05-04 11:08:47 > Step:   75700 Progress: 75.7% Elapsed: 22:49:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.66921 Generator_loss: 2.18319 
[INFO] 2021-05-04 11:10:28 > Step:   75800 Progress: 75.8% Elapsed: 22:51:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.75788 Generator_loss: 1.90033 
[INFO] 2021-05-04 11:12:07 > Step:   75900 Progress: 75.9% Elapsed: 22:52:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.88815 Generator_loss: 1.93051 
[INFO] 2021-05-04 11:13:49 > Step:   76000 Progress: 76.0% Elapsed: 22:54:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.72602 Generator_loss: 1.6913 
[INFO] 2021-05-04 11:13:49 > Start Evaluation (76000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 11:13:49 > Calculating FID Score....
[INFO] 2021-05-04 11:14:22 > Calculating Inception Score....
[INFO] 2021-05-04 11:14:39 > Calculate F_beta Score....
[INFO] 2021-05-04 11:15:33 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 11:15:34 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 11:15:35 > Calculate Accuracies....
[INFO] 2021-05-04 11:15:41 > Calculate Accuracies....
[INFO] 2021-05-04 11:15:43 > F_8 score (Step: 76000, Using test images): 0.995792681423268
[INFO] 2021-05-04 11:15:43 > F_1/8 score (Step: 76000, Using test images): 0.9957976962432078
[INFO] 2021-05-04 11:15:43 > FID score (Step: 76000, Using test moments): 7.302533224116473
[INFO] 2021-05-04 11:15:43 > Inception score (Step: 76000, 10000 generated images): 9.871395111083984
[INFO] 2021-05-04 11:15:43 > Best FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 11:15:44 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 11:17:28 > Step:   76100 Progress: 76.1% Elapsed: 22:58:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.83479 Generator_loss: 1.72354 
[INFO] 2021-05-04 11:19:11 > Step:   76200 Progress: 76.2% Elapsed: 22:59:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.71962 Generator_loss: 1.95632 
[INFO] 2021-05-04 11:20:55 > Step:   76300 Progress: 76.3% Elapsed: 23:01:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.03247 Generator_loss: 1.31027 
[INFO] 2021-05-04 11:22:38 > Step:   76400 Progress: 76.4% Elapsed: 23:03:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.84345 Generator_loss: 1.78393 
[INFO] 2021-05-04 11:24:22 > Step:   76500 Progress: 76.5% Elapsed: 23:04:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.5924 Generator_loss: 1.7068 
[INFO] 2021-05-04 11:26:05 > Step:   76600 Progress: 76.6% Elapsed: 23:06:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.69598 Generator_loss: 1.74087 
[INFO] 2021-05-04 11:27:49 > Step:   76700 Progress: 76.7% Elapsed: 23:08:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.70073 Generator_loss: 1.53347 
[INFO] 2021-05-04 11:29:32 > Step:   76800 Progress: 76.8% Elapsed: 23:10:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.70282 Generator_loss: 2.35498 
[INFO] 2021-05-04 11:31:14 > Step:   76900 Progress: 76.9% Elapsed: 23:11:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.66483 Generator_loss: 1.93206 
[INFO] 2021-05-04 11:32:59 > Step:   77000 Progress: 77.0% Elapsed: 23:13:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.91694 Generator_loss: 2.22339 
[INFO] 2021-05-04 11:34:43 > Step:   77100 Progress: 77.1% Elapsed: 23:15:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.57766 Generator_loss: 2.00939 
[INFO] 2021-05-04 11:36:30 > Step:   77200 Progress: 77.2% Elapsed: 23:17:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.73033 Generator_loss: 1.82489 
[INFO] 2021-05-04 11:38:13 > Step:   77300 Progress: 77.3% Elapsed: 23:18:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.66841 Generator_loss: 2.1147 
[INFO] 2021-05-04 11:39:56 > Step:   77400 Progress: 77.4% Elapsed: 23:20:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.7578 Generator_loss: 1.75537 
[INFO] 2021-05-04 11:41:39 > Step:   77500 Progress: 77.5% Elapsed: 23:22:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.82786 Generator_loss: 1.42951 
[INFO] 2021-05-04 11:43:22 > Step:   77600 Progress: 77.6% Elapsed: 23:23:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.94185 Generator_loss: 1.44632 
[INFO] 2021-05-04 11:45:06 > Step:   77700 Progress: 77.7% Elapsed: 23:25:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.87798 Generator_loss: 1.42747 
[INFO] 2021-05-04 11:46:44 > Step:   77800 Progress: 77.8% Elapsed: 23:27:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.69627 Generator_loss: 1.96285 
[INFO] 2021-05-04 11:48:23 > Step:   77900 Progress: 77.9% Elapsed: 23:28:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.7236 Generator_loss: 2.18343 
[INFO] 2021-05-04 11:50:06 > Step:   78000 Progress: 78.0% Elapsed: 23:30:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.68003 Generator_loss: 2.10693 
[INFO] 2021-05-04 11:50:06 > Start Evaluation (78000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 11:50:06 > Calculating FID Score....
[INFO] 2021-05-04 11:50:38 > Calculating Inception Score....
[INFO] 2021-05-04 11:50:55 > Calculate F_beta Score....
[INFO] 2021-05-04 11:51:48 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 11:51:49 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 11:51:49 > Calculate Accuracies....
[INFO] 2021-05-04 11:51:56 > Calculate Accuracies....
[INFO] 2021-05-04 11:51:58 > F_8 score (Step: 78000, Using test images): 0.9943721365659389
[INFO] 2021-05-04 11:51:58 > F_1/8 score (Step: 78000, Using test images): 0.996375622293315
[INFO] 2021-05-04 11:51:58 > FID score (Step: 78000, Using test moments): 7.269456496569035
[INFO] 2021-05-04 11:51:58 > Inception score (Step: 78000, 10000 generated images): 9.909523010253906
[INFO] 2021-05-04 11:51:58 > Best FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 11:51:59 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 11:53:43 > Step:   78100 Progress: 78.1% Elapsed: 23:34:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.73221 Generator_loss: 1.78289 
[INFO] 2021-05-04 11:55:26 > Step:   78200 Progress: 78.2% Elapsed: 23:36:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.9655 Generator_loss: 1.07974 
[INFO] 2021-05-04 11:57:09 > Step:   78300 Progress: 78.3% Elapsed: 23:37:43 temperature: 0.5 ada_p: No Discriminator_loss: 3.03547 Generator_loss: 1.37772 
[INFO] 2021-05-04 11:58:53 > Step:   78400 Progress: 78.4% Elapsed: 23:39:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.64815 Generator_loss: 2.36741 
[INFO] 2021-05-04 12:00:36 > Step:   78500 Progress: 78.5% Elapsed: 23:41:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.80867 Generator_loss: 2.0695 
[INFO] 2021-05-04 12:02:19 > Step:   78600 Progress: 78.6% Elapsed: 23:42:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.83808 Generator_loss: 1.57764 
[INFO] 2021-05-04 12:04:01 > Step:   78700 Progress: 78.7% Elapsed: 23:44:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.95778 Generator_loss: 1.05624 
[INFO] 2021-05-04 12:05:45 > Step:   78800 Progress: 78.8% Elapsed: 23:46:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.75832 Generator_loss: 1.83009 
[INFO] 2021-05-04 12:07:28 > Step:   78900 Progress: 78.9% Elapsed: 23:48:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.73535 Generator_loss: 2.05766 
[INFO] 2021-05-04 12:09:10 > Step:   79000 Progress: 79.0% Elapsed: 23:49:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.64776 Generator_loss: 2.09598 
[INFO] 2021-05-04 12:10:54 > Step:   79100 Progress: 79.1% Elapsed: 23:51:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.70292 Generator_loss: 1.68162 
[INFO] 2021-05-04 12:12:36 > Step:   79200 Progress: 79.2% Elapsed: 23:53:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.74652 Generator_loss: 2.12794 
[INFO] 2021-05-04 12:14:18 > Step:   79300 Progress: 79.3% Elapsed: 23:54:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.90953 Generator_loss: 1.18354 
[INFO] 2021-05-04 12:16:01 > Step:   79400 Progress: 79.4% Elapsed: 23:56:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.89309 Generator_loss: 1.38804 
[INFO] 2021-05-04 12:17:45 > Step:   79500 Progress: 79.5% Elapsed: 23:58:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.696 Generator_loss: 1.68358 
[INFO] 2021-05-04 12:19:27 > Step:   79600 Progress: 79.6% Elapsed: 1 day, 0:00:01 temperature: 0.5 ada_p: No Discriminator_loss: 3.13922 Generator_loss: 1.3263 
[INFO] 2021-05-04 12:21:11 > Step:   79700 Progress: 79.7% Elapsed: 1 day, 0:01:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.83696 Generator_loss: 2.3168 
[INFO] 2021-05-04 12:22:50 > Step:   79800 Progress: 79.8% Elapsed: 1 day, 0:03:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.69812 Generator_loss: 1.55937 
[INFO] 2021-05-04 12:24:30 > Step:   79900 Progress: 79.9% Elapsed: 1 day, 0:05:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.72443 Generator_loss: 1.80719 
[INFO] 2021-05-04 12:26:13 > Step:   80000 Progress: 80.0% Elapsed: 1 day, 0:06:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.0655 Generator_loss: 1.12848 
[INFO] 2021-05-04 12:26:13 > Start Evaluation (80000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 12:26:13 > Calculating FID Score....
[INFO] 2021-05-04 12:26:46 > Calculating Inception Score....
[INFO] 2021-05-04 12:27:03 > Calculate F_beta Score....
[INFO] 2021-05-04 12:27:58 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 12:27:58 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 12:27:59 > Calculate Accuracies....
[INFO] 2021-05-04 12:28:06 > Calculate Accuracies....
[INFO] 2021-05-04 12:28:07 > F_8 score (Step: 80000, Using test images): 0.9929293377975804
[INFO] 2021-05-04 12:28:07 > F_1/8 score (Step: 80000, Using test images): 0.9963831066032431
[INFO] 2021-05-04 12:28:07 > FID score (Step: 80000, Using test moments): 7.255419574935672
[INFO] 2021-05-04 12:28:07 > Inception score (Step: 80000, 10000 generated images): 9.887916564941406
[INFO] 2021-05-04 12:28:07 > Best FID score (Step: 72000, Using test moments): 7.234836406989075
[INFO] 2021-05-04 12:28:09 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 12:29:52 > Step:   80100 Progress: 80.1% Elapsed: 1 day, 0:10:25 temperature: 0.5 ada_p: No Discriminator_loss: 3.04721 Generator_loss: 1.42005 
[INFO] 2021-05-04 12:31:36 > Step:   80200 Progress: 80.2% Elapsed: 1 day, 0:12:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.7674 Generator_loss: 1.08275 
[INFO] 2021-05-04 12:33:19 > Step:   80300 Progress: 80.3% Elapsed: 1 day, 0:13:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.82615 Generator_loss: 1.50219 
[INFO] 2021-05-04 12:35:01 > Step:   80400 Progress: 80.4% Elapsed: 1 day, 0:15:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.69202 Generator_loss: 1.72962 
[INFO] 2021-05-04 12:36:44 > Step:   80500 Progress: 80.5% Elapsed: 1 day, 0:17:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.7555 Generator_loss: 2.09545 
[INFO] 2021-05-04 12:38:26 > Step:   80600 Progress: 80.6% Elapsed: 1 day, 0:19:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.80859 Generator_loss: 1.58667 
[INFO] 2021-05-04 12:40:09 > Step:   80700 Progress: 80.7% Elapsed: 1 day, 0:20:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.68512 Generator_loss: 2.28516 
[INFO] 2021-05-04 12:41:52 > Step:   80800 Progress: 80.8% Elapsed: 1 day, 0:22:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.77075 Generator_loss: 2.23263 
[INFO] 2021-05-04 12:43:36 > Step:   80900 Progress: 80.9% Elapsed: 1 day, 0:24:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.69389 Generator_loss: 1.63591 
[INFO] 2021-05-04 12:45:18 > Step:   81000 Progress: 81.0% Elapsed: 1 day, 0:25:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.84548 Generator_loss: 1.59542 
[INFO] 2021-05-04 12:47:01 > Step:   81100 Progress: 81.1% Elapsed: 1 day, 0:27:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.96224 Generator_loss: 1.5432 
[INFO] 2021-05-04 12:48:44 > Step:   81200 Progress: 81.2% Elapsed: 1 day, 0:29:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.74321 Generator_loss: 1.8187 
[INFO] 2021-05-04 12:50:27 > Step:   81300 Progress: 81.3% Elapsed: 1 day, 0:31:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.75691 Generator_loss: 1.99667 
[INFO] 2021-05-04 12:52:09 > Step:   81400 Progress: 81.4% Elapsed: 1 day, 0:32:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.98376 Generator_loss: 1.34919 
[INFO] 2021-05-04 12:53:52 > Step:   81500 Progress: 81.5% Elapsed: 1 day, 0:34:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.67039 Generator_loss: 2.35599 
[INFO] 2021-05-04 12:55:35 > Step:   81600 Progress: 81.6% Elapsed: 1 day, 0:36:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.7311 Generator_loss: 1.46063 
[INFO] 2021-05-04 12:57:18 > Step:   81700 Progress: 81.7% Elapsed: 1 day, 0:37:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.60775 Generator_loss: 1.86482 
[INFO] 2021-05-04 12:58:56 > Step:   81800 Progress: 81.8% Elapsed: 1 day, 0:39:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.72967 Generator_loss: 2.53715 
[INFO] 2021-05-04 13:00:38 > Step:   81900 Progress: 81.9% Elapsed: 1 day, 0:41:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.95066 Generator_loss: 1.31713 
[INFO] 2021-05-04 13:02:23 > Step:   82000 Progress: 82.0% Elapsed: 1 day, 0:42:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.78213 Generator_loss: 1.81033 
[INFO] 2021-05-04 13:02:23 > Start Evaluation (82000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 13:02:23 > Calculating FID Score....
[INFO] 2021-05-04 13:02:55 > Calculating Inception Score....
[INFO] 2021-05-04 13:03:12 > Calculate F_beta Score....
[INFO] 2021-05-04 13:04:05 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 13:04:06 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 13:04:06 > Calculate Accuracies....
[INFO] 2021-05-04 13:04:13 > Calculate Accuracies....
[INFO] 2021-05-04 13:04:14 > F_8 score (Step: 82000, Using test images): 0.9933598160919206
[INFO] 2021-05-04 13:04:14 > F_1/8 score (Step: 82000, Using test images): 0.9959545032255165
[INFO] 2021-05-04 13:04:14 > FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 13:04:14 > Inception score (Step: 82000, 10000 generated images): 9.832656860351562
[INFO] 2021-05-04 13:04:14 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 13:04:17 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 13:06:00 > Step:   82100 Progress: 82.1% Elapsed: 1 day, 0:46:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.89539 Generator_loss: 1.68599 
[INFO] 2021-05-04 13:07:44 > Step:   82200 Progress: 82.2% Elapsed: 1 day, 0:48:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.9678 Generator_loss: 1.85142 
[INFO] 2021-05-04 13:09:27 > Step:   82300 Progress: 82.3% Elapsed: 1 day, 0:50:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.71504 Generator_loss: 1.62811 
[INFO] 2021-05-04 13:11:10 > Step:   82400 Progress: 82.4% Elapsed: 1 day, 0:51:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.66213 Generator_loss: 2.04533 
[INFO] 2021-05-04 13:12:53 > Step:   82500 Progress: 82.5% Elapsed: 1 day, 0:53:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.79832 Generator_loss: 1.85226 
[INFO] 2021-05-04 13:14:36 > Step:   82600 Progress: 82.6% Elapsed: 1 day, 0:55:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.83648 Generator_loss: 1.52428 
[INFO] 2021-05-04 13:16:20 > Step:   82700 Progress: 82.7% Elapsed: 1 day, 0:56:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.77406 Generator_loss: 1.25082 
[INFO] 2021-05-04 13:18:03 > Step:   82800 Progress: 82.8% Elapsed: 1 day, 0:58:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.83271 Generator_loss: 2.31996 
[INFO] 2021-05-04 13:19:46 > Step:   82900 Progress: 82.9% Elapsed: 1 day, 1:00:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.671 Generator_loss: 1.48989 
[INFO] 2021-05-04 13:21:30 > Step:   83000 Progress: 83.0% Elapsed: 1 day, 1:02:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.63887 Generator_loss: 1.65022 
[INFO] 2021-05-04 13:23:13 > Step:   83100 Progress: 83.1% Elapsed: 1 day, 1:03:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.72255 Generator_loss: 1.73078 
[INFO] 2021-05-04 13:24:57 > Step:   83200 Progress: 83.2% Elapsed: 1 day, 1:05:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.81477 Generator_loss: 1.90882 
[INFO] 2021-05-04 13:26:40 > Step:   83300 Progress: 83.3% Elapsed: 1 day, 1:07:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.91413 Generator_loss: 1.39747 
[INFO] 2021-05-04 13:28:23 > Step:   83400 Progress: 83.4% Elapsed: 1 day, 1:08:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.57795 Generator_loss: 2.25284 
[INFO] 2021-05-04 13:30:07 > Step:   83500 Progress: 83.5% Elapsed: 1 day, 1:10:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.9747 Generator_loss: 1.50658 
[INFO] 2021-05-04 13:31:49 > Step:   83600 Progress: 83.6% Elapsed: 1 day, 1:12:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.6691 Generator_loss: 1.54602 
[INFO] 2021-05-04 13:33:33 > Step:   83700 Progress: 83.7% Elapsed: 1 day, 1:14:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.77503 Generator_loss: 1.64858 
[INFO] 2021-05-04 13:35:09 > Step:   83800 Progress: 83.8% Elapsed: 1 day, 1:15:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.84511 Generator_loss: 1.84431 
[INFO] 2021-05-04 13:36:50 > Step:   83900 Progress: 83.9% Elapsed: 1 day, 1:17:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.86415 Generator_loss: 1.66804 
[INFO] 2021-05-04 13:38:34 > Step:   84000 Progress: 84.0% Elapsed: 1 day, 1:19:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.87553 Generator_loss: 1.70533 
[INFO] 2021-05-04 13:38:34 > Start Evaluation (84000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 13:38:34 > Calculating FID Score....
[INFO] 2021-05-04 13:39:06 > Calculating Inception Score....
[INFO] 2021-05-04 13:39:23 > Calculate F_beta Score....
[INFO] 2021-05-04 13:40:15 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 13:40:15 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 13:40:16 > Calculate Accuracies....
[INFO] 2021-05-04 13:40:22 > Calculate Accuracies....
[INFO] 2021-05-04 13:40:24 > F_8 score (Step: 84000, Using test images): 0.9952940384642829
[INFO] 2021-05-04 13:40:24 > F_1/8 score (Step: 84000, Using test images): 0.9959199977823141
[INFO] 2021-05-04 13:40:24 > FID score (Step: 84000, Using test moments): 7.302152727327211
[INFO] 2021-05-04 13:40:24 > Inception score (Step: 84000, 10000 generated images): 9.924025535583496
[INFO] 2021-05-04 13:40:24 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 13:40:25 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 13:42:09 > Step:   84100 Progress: 84.1% Elapsed: 1 day, 1:22:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.84122 Generator_loss: 2.12894 
[INFO] 2021-05-04 13:43:51 > Step:   84200 Progress: 84.2% Elapsed: 1 day, 1:24:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.62833 Generator_loss: 2.37845 
[INFO] 2021-05-04 13:45:33 > Step:   84300 Progress: 84.3% Elapsed: 1 day, 1:26:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.79124 Generator_loss: 1.40219 
[INFO] 2021-05-04 13:47:17 > Step:   84400 Progress: 84.4% Elapsed: 1 day, 1:27:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.76365 Generator_loss: 1.76674 
[INFO] 2021-05-04 13:48:59 > Step:   84500 Progress: 84.5% Elapsed: 1 day, 1:29:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.77676 Generator_loss: 1.50945 
[INFO] 2021-05-04 13:50:42 > Step:   84600 Progress: 84.6% Elapsed: 1 day, 1:31:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.83245 Generator_loss: 1.75241 
[INFO] 2021-05-04 13:52:25 > Step:   84700 Progress: 84.7% Elapsed: 1 day, 1:32:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.76789 Generator_loss: 2.13687 
[INFO] 2021-05-04 13:54:08 > Step:   84800 Progress: 84.8% Elapsed: 1 day, 1:34:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.81056 Generator_loss: 1.82057 
[INFO] 2021-05-04 13:55:51 > Step:   84900 Progress: 84.9% Elapsed: 1 day, 1:36:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.68373 Generator_loss: 1.48484 
[INFO] 2021-05-04 13:57:33 > Step:   85000 Progress: 85.0% Elapsed: 1 day, 1:38:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.99411 Generator_loss: 1.19671 
[INFO] 2021-05-04 13:59:17 > Step:   85100 Progress: 85.1% Elapsed: 1 day, 1:39:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.75173 Generator_loss: 1.73079 
[INFO] 2021-05-04 14:00:59 > Step:   85200 Progress: 85.2% Elapsed: 1 day, 1:41:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.8187 Generator_loss: 2.1797 
[INFO] 2021-05-04 14:02:42 > Step:   85300 Progress: 85.3% Elapsed: 1 day, 1:43:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.66409 Generator_loss: 1.59616 
[INFO] 2021-05-04 14:04:24 > Step:   85400 Progress: 85.4% Elapsed: 1 day, 1:44:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.79367 Generator_loss: 2.16739 
[INFO] 2021-05-04 14:06:08 > Step:   85500 Progress: 85.5% Elapsed: 1 day, 1:46:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.68479 Generator_loss: 2.48368 
[INFO] 2021-05-04 14:07:51 > Step:   85600 Progress: 85.6% Elapsed: 1 day, 1:48:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.73974 Generator_loss: 1.73249 
[INFO] 2021-05-04 14:09:34 > Step:   85700 Progress: 85.7% Elapsed: 1 day, 1:50:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.75981 Generator_loss: 2.14329 
[INFO] 2021-05-04 14:11:10 > Step:   85800 Progress: 85.8% Elapsed: 1 day, 1:51:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.66438 Generator_loss: 1.78653 
[INFO] 2021-05-04 14:12:53 > Step:   85900 Progress: 85.9% Elapsed: 1 day, 1:53:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.73803 Generator_loss: 2.12717 
[INFO] 2021-05-04 14:14:35 > Step:   86000 Progress: 86.0% Elapsed: 1 day, 1:55:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.71695 Generator_loss: 2.28411 
[INFO] 2021-05-04 14:14:35 > Start Evaluation (86000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 14:14:35 > Calculating FID Score....
[INFO] 2021-05-04 14:15:08 > Calculating Inception Score....
[INFO] 2021-05-04 14:15:25 > Calculate F_beta Score....
[INFO] 2021-05-04 14:16:20 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 14:16:21 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 14:16:21 > Calculate Accuracies....
[INFO] 2021-05-04 14:16:28 > Calculate Accuracies....
[INFO] 2021-05-04 14:16:30 > F_8 score (Step: 86000, Using test images): 0.9941834866065581
[INFO] 2021-05-04 14:16:30 > F_1/8 score (Step: 86000, Using test images): 0.9958443818989345
[INFO] 2021-05-04 14:16:30 > FID score (Step: 86000, Using test moments): 7.385516501724567
[INFO] 2021-05-04 14:16:30 > Inception score (Step: 86000, 10000 generated images): 10.003994941711426
[INFO] 2021-05-04 14:16:30 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 14:16:31 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 14:18:14 > Step:   86100 Progress: 86.1% Elapsed: 1 day, 1:58:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.75077 Generator_loss: 1.74082 
[INFO] 2021-05-04 14:19:58 > Step:   86200 Progress: 86.2% Elapsed: 1 day, 2:00:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.65127 Generator_loss: 2.04556 
[INFO] 2021-05-04 14:21:41 > Step:   86300 Progress: 86.3% Elapsed: 1 day, 2:02:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.71036 Generator_loss: 2.30678 
[INFO] 2021-05-04 14:23:24 > Step:   86400 Progress: 86.4% Elapsed: 1 day, 2:03:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.80872 Generator_loss: 1.66287 
[INFO] 2021-05-04 14:25:07 > Step:   86500 Progress: 86.5% Elapsed: 1 day, 2:05:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.75748 Generator_loss: 1.85163 
[INFO] 2021-05-04 14:26:50 > Step:   86600 Progress: 86.6% Elapsed: 1 day, 2:07:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.76975 Generator_loss: 1.9471 
[INFO] 2021-05-04 14:28:32 > Step:   86700 Progress: 86.7% Elapsed: 1 day, 2:09:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.74489 Generator_loss: 1.72103 
[INFO] 2021-05-04 14:30:14 > Step:   86800 Progress: 86.8% Elapsed: 1 day, 2:10:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.77442 Generator_loss: 1.71016 
[INFO] 2021-05-04 14:31:58 > Step:   86900 Progress: 86.9% Elapsed: 1 day, 2:12:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.77588 Generator_loss: 1.25505 
[INFO] 2021-05-04 14:33:41 > Step:   87000 Progress: 87.0% Elapsed: 1 day, 2:14:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.74688 Generator_loss: 1.99947 
[INFO] 2021-05-04 14:35:23 > Step:   87100 Progress: 87.1% Elapsed: 1 day, 2:15:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.74591 Generator_loss: 2.16593 
[INFO] 2021-05-04 14:37:07 > Step:   87200 Progress: 87.2% Elapsed: 1 day, 2:17:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.68513 Generator_loss: 1.90623 
[INFO] 2021-05-04 14:38:51 > Step:   87300 Progress: 87.3% Elapsed: 1 day, 2:19:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.60656 Generator_loss: 1.88683 
[INFO] 2021-05-04 14:40:35 > Step:   87400 Progress: 87.4% Elapsed: 1 day, 2:21:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.75966 Generator_loss: 1.81221 
[INFO] 2021-05-04 14:42:18 > Step:   87500 Progress: 87.5% Elapsed: 1 day, 2:22:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.73942 Generator_loss: 1.68497 
[INFO] 2021-05-04 14:44:01 > Step:   87600 Progress: 87.6% Elapsed: 1 day, 2:24:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.75216 Generator_loss: 1.81674 
[INFO] 2021-05-04 14:45:44 > Step:   87700 Progress: 87.7% Elapsed: 1 day, 2:26:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.64576 Generator_loss: 2.47523 
[INFO] 2021-05-04 14:47:20 > Step:   87800 Progress: 87.8% Elapsed: 1 day, 2:27:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.646 Generator_loss: 2.05877 
[INFO] 2021-05-04 14:49:02 > Step:   87900 Progress: 87.9% Elapsed: 1 day, 2:29:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.69506 Generator_loss: 1.72871 
[INFO] 2021-05-04 14:50:45 > Step:   88000 Progress: 88.0% Elapsed: 1 day, 2:31:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.63679 Generator_loss: 1.88911 
[INFO] 2021-05-04 14:50:45 > Start Evaluation (88000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 14:50:45 > Calculating FID Score....
[INFO] 2021-05-04 14:51:17 > Calculating Inception Score....
[INFO] 2021-05-04 14:51:34 > Calculate F_beta Score....
[INFO] 2021-05-04 14:52:27 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 14:52:27 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 14:52:28 > Calculate Accuracies....
[INFO] 2021-05-04 14:52:34 > Calculate Accuracies....
[INFO] 2021-05-04 14:52:36 > F_8 score (Step: 88000, Using test images): 0.9934520183871676
[INFO] 2021-05-04 14:52:36 > F_1/8 score (Step: 88000, Using test images): 0.9959823752088995
[INFO] 2021-05-04 14:52:36 > FID score (Step: 88000, Using test moments): 7.239616801783143
[INFO] 2021-05-04 14:52:36 > Inception score (Step: 88000, 10000 generated images): 9.847702026367188
[INFO] 2021-05-04 14:52:36 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 14:52:37 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 14:54:20 > Step:   88100 Progress: 88.1% Elapsed: 1 day, 2:34:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.97478 Generator_loss: 1.98884 
[INFO] 2021-05-04 14:56:02 > Step:   88200 Progress: 88.2% Elapsed: 1 day, 2:36:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.80948 Generator_loss: 2.13153 
[INFO] 2021-05-04 14:57:46 > Step:   88300 Progress: 88.3% Elapsed: 1 day, 2:38:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.78083 Generator_loss: 1.4976 
[INFO] 2021-05-04 14:59:28 > Step:   88400 Progress: 88.4% Elapsed: 1 day, 2:40:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.85231 Generator_loss: 1.63365 
[INFO] 2021-05-04 15:01:10 > Step:   88500 Progress: 88.5% Elapsed: 1 day, 2:41:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.72773 Generator_loss: 1.4967 
[INFO] 2021-05-04 15:02:52 > Step:   88600 Progress: 88.6% Elapsed: 1 day, 2:43:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.70038 Generator_loss: 1.69733 
[INFO] 2021-05-04 15:04:36 > Step:   88700 Progress: 88.7% Elapsed: 1 day, 2:45:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.05722 Generator_loss: 0.816938 
[INFO] 2021-05-04 15:06:19 > Step:   88800 Progress: 88.8% Elapsed: 1 day, 2:46:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.78124 Generator_loss: 2.05348 
[INFO] 2021-05-04 15:08:01 > Step:   88900 Progress: 88.9% Elapsed: 1 day, 2:48:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.85148 Generator_loss: 1.73332 
[INFO] 2021-05-04 15:09:45 > Step:   89000 Progress: 89.0% Elapsed: 1 day, 2:50:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.79498 Generator_loss: 1.80556 
[INFO] 2021-05-04 15:11:28 > Step:   89100 Progress: 89.1% Elapsed: 1 day, 2:52:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.71977 Generator_loss: 1.70894 
[INFO] 2021-05-04 15:13:12 > Step:   89200 Progress: 89.2% Elapsed: 1 day, 2:53:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.89155 Generator_loss: 1.49568 
[INFO] 2021-05-04 15:14:56 > Step:   89300 Progress: 89.3% Elapsed: 1 day, 2:55:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.81423 Generator_loss: 1.80651 
[INFO] 2021-05-04 15:16:39 > Step:   89400 Progress: 89.4% Elapsed: 1 day, 2:57:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.69069 Generator_loss: 1.6688 
[INFO] 2021-05-04 15:18:21 > Step:   89500 Progress: 89.5% Elapsed: 1 day, 2:58:55 temperature: 0.5 ada_p: No Discriminator_loss: 3.17866 Generator_loss: 0.800597 
[INFO] 2021-05-04 15:20:04 > Step:   89600 Progress: 89.6% Elapsed: 1 day, 3:00:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.82963 Generator_loss: 1.88972 
[INFO] 2021-05-04 15:21:46 > Step:   89700 Progress: 89.7% Elapsed: 1 day, 3:02:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.68789 Generator_loss: 2.43354 
[INFO] 2021-05-04 15:23:22 > Step:   89800 Progress: 89.8% Elapsed: 1 day, 3:03:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.77132 Generator_loss: 2.08864 
[INFO] 2021-05-04 15:25:06 > Step:   89900 Progress: 89.9% Elapsed: 1 day, 3:05:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.79819 Generator_loss: 2.29375 
[INFO] 2021-05-04 15:26:48 > Step:   90000 Progress: 90.0% Elapsed: 1 day, 3:07:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.72462 Generator_loss: 1.95428 
[INFO] 2021-05-04 15:26:48 > Start Evaluation (90000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 15:26:48 > Calculating FID Score....
[INFO] 2021-05-04 15:27:21 > Calculating Inception Score....
[INFO] 2021-05-04 15:27:38 > Calculate F_beta Score....
[INFO] 2021-05-04 15:28:32 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 15:28:32 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 15:28:33 > Calculate Accuracies....
[INFO] 2021-05-04 15:28:39 > Calculate Accuracies....
[INFO] 2021-05-04 15:28:41 > F_8 score (Step: 90000, Using test images): 0.9963975249758418
[INFO] 2021-05-04 15:28:41 > F_1/8 score (Step: 90000, Using test images): 0.9948846621776204
[INFO] 2021-05-04 15:28:41 > FID score (Step: 90000, Using test moments): 7.246668479847926
[INFO] 2021-05-04 15:28:41 > Inception score (Step: 90000, 10000 generated images): 9.912659645080566
[INFO] 2021-05-04 15:28:41 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 15:28:42 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 15:30:25 > Step:   90100 Progress: 90.1% Elapsed: 1 day, 3:10:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.75035 Generator_loss: 1.98431 
[INFO] 2021-05-04 15:32:07 > Step:   90200 Progress: 90.2% Elapsed: 1 day, 3:12:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.67913 Generator_loss: 1.92285 
[INFO] 2021-05-04 15:33:49 > Step:   90300 Progress: 90.3% Elapsed: 1 day, 3:14:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.92246 Generator_loss: 1.48157 
[INFO] 2021-05-04 15:35:32 > Step:   90400 Progress: 90.4% Elapsed: 1 day, 3:16:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.69255 Generator_loss: 2.39153 
[INFO] 2021-05-04 15:37:15 > Step:   90500 Progress: 90.5% Elapsed: 1 day, 3:17:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.75727 Generator_loss: 1.69718 
[INFO] 2021-05-04 15:38:57 > Step:   90600 Progress: 90.6% Elapsed: 1 day, 3:19:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.77181 Generator_loss: 1.57869 
[INFO] 2021-05-04 15:40:40 > Step:   90700 Progress: 90.7% Elapsed: 1 day, 3:21:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.52873 Generator_loss: 1.8563 
[INFO] 2021-05-04 15:42:22 > Step:   90800 Progress: 90.8% Elapsed: 1 day, 3:22:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.72304 Generator_loss: 2.02253 
[INFO] 2021-05-04 15:44:05 > Step:   90900 Progress: 90.9% Elapsed: 1 day, 3:24:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.98701 Generator_loss: 1.35165 
[INFO] 2021-05-04 15:45:48 > Step:   91000 Progress: 91.0% Elapsed: 1 day, 3:26:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.8221 Generator_loss: 1.54152 
[INFO] 2021-05-04 15:47:31 > Step:   91100 Progress: 91.1% Elapsed: 1 day, 3:28:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.75373 Generator_loss: 1.69454 
[INFO] 2021-05-04 15:49:14 > Step:   91200 Progress: 91.2% Elapsed: 1 day, 3:29:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.57723 Generator_loss: 1.50128 
[INFO] 2021-05-04 15:50:56 > Step:   91300 Progress: 91.3% Elapsed: 1 day, 3:31:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.82958 Generator_loss: 1.7074 
[INFO] 2021-05-04 15:52:39 > Step:   91400 Progress: 91.4% Elapsed: 1 day, 3:33:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.61047 Generator_loss: 1.87163 
[INFO] 2021-05-04 15:54:23 > Step:   91500 Progress: 91.5% Elapsed: 1 day, 3:34:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.665 Generator_loss: 1.38583 
[INFO] 2021-05-04 15:56:08 > Step:   91600 Progress: 91.6% Elapsed: 1 day, 3:36:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.91871 Generator_loss: 1.03077 
[INFO] 2021-05-04 15:57:49 > Step:   91700 Progress: 91.7% Elapsed: 1 day, 3:38:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.79322 Generator_loss: 1.72385 
[INFO] 2021-05-04 15:59:26 > Step:   91800 Progress: 91.8% Elapsed: 1 day, 3:40:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.62556 Generator_loss: 1.83033 
[INFO] 2021-05-04 16:01:10 > Step:   91900 Progress: 91.9% Elapsed: 1 day, 3:41:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.8471 Generator_loss: 1.55255 
[INFO] 2021-05-04 16:02:53 > Step:   92000 Progress: 92.0% Elapsed: 1 day, 3:43:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.77812 Generator_loss: 1.7097 
[INFO] 2021-05-04 16:02:53 > Start Evaluation (92000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 16:02:53 > Calculating FID Score....
[INFO] 2021-05-04 16:03:25 > Calculating Inception Score....
[INFO] 2021-05-04 16:03:42 > Calculate F_beta Score....
[INFO] 2021-05-04 16:04:34 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 16:04:35 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 16:04:35 > Calculate Accuracies....
[INFO] 2021-05-04 16:04:42 > Calculate Accuracies....
[INFO] 2021-05-04 16:04:44 > F_8 score (Step: 92000, Using test images): 0.9923979991417109
[INFO] 2021-05-04 16:04:44 > F_1/8 score (Step: 92000, Using test images): 0.9951979918694679
[INFO] 2021-05-04 16:04:44 > FID score (Step: 92000, Using test moments): 7.338895434836047
[INFO] 2021-05-04 16:04:44 > Inception score (Step: 92000, 10000 generated images): 9.960859298706055
[INFO] 2021-05-04 16:04:44 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 16:04:45 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 16:06:27 > Step:   92100 Progress: 92.1% Elapsed: 1 day, 3:47:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.91731 Generator_loss: 1.99054 
[INFO] 2021-05-04 16:08:11 > Step:   92200 Progress: 92.2% Elapsed: 1 day, 3:48:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.87161 Generator_loss: 1.90981 
[INFO] 2021-05-04 16:09:54 > Step:   92300 Progress: 92.3% Elapsed: 1 day, 3:50:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.80053 Generator_loss: 1.67537 
[INFO] 2021-05-04 16:11:37 > Step:   92400 Progress: 92.4% Elapsed: 1 day, 3:52:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.93228 Generator_loss: 2.06919 
[INFO] 2021-05-04 16:13:21 > Step:   92500 Progress: 92.5% Elapsed: 1 day, 3:53:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.76597 Generator_loss: 2.04971 
[INFO] 2021-05-04 16:15:03 > Step:   92600 Progress: 92.6% Elapsed: 1 day, 3:55:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.79498 Generator_loss: 1.82274 
[INFO] 2021-05-04 16:16:46 > Step:   92700 Progress: 92.7% Elapsed: 1 day, 3:57:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.77772 Generator_loss: 1.87681 
[INFO] 2021-05-04 16:18:30 > Step:   92800 Progress: 92.8% Elapsed: 1 day, 3:59:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.87709 Generator_loss: 1.75822 
[INFO] 2021-05-04 16:20:18 > Step:   92900 Progress: 92.9% Elapsed: 1 day, 4:00:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.63037 Generator_loss: 1.75801 
[INFO] 2021-05-04 16:22:05 > Step:   93000 Progress: 93.0% Elapsed: 1 day, 4:02:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.63231 Generator_loss: 1.32272 
[INFO] 2021-05-04 16:23:53 > Step:   93100 Progress: 93.1% Elapsed: 1 day, 4:04:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.7018 Generator_loss: 2.34067 
[INFO] 2021-05-04 16:25:40 > Step:   93200 Progress: 93.2% Elapsed: 1 day, 4:06:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.74623 Generator_loss: 2.13689 
[INFO] 2021-05-04 16:27:26 > Step:   93300 Progress: 93.3% Elapsed: 1 day, 4:08:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.7954 Generator_loss: 1.70532 
[INFO] 2021-05-04 16:29:14 > Step:   93400 Progress: 93.4% Elapsed: 1 day, 4:09:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.89937 Generator_loss: 1.82656 
[INFO] 2021-05-04 16:31:02 > Step:   93500 Progress: 93.5% Elapsed: 1 day, 4:11:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.82129 Generator_loss: 1.84231 
[INFO] 2021-05-04 16:32:50 > Step:   93600 Progress: 93.6% Elapsed: 1 day, 4:13:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.88326 Generator_loss: 1.18112 
[INFO] 2021-05-04 16:34:37 > Step:   93700 Progress: 93.7% Elapsed: 1 day, 4:15:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.70966 Generator_loss: 1.91332 
[INFO] 2021-05-04 16:36:20 > Step:   93800 Progress: 93.8% Elapsed: 1 day, 4:16:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.74158 Generator_loss: 2.11327 
[INFO] 2021-05-04 16:38:07 > Step:   93900 Progress: 93.9% Elapsed: 1 day, 4:18:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.79929 Generator_loss: 1.62074 
[INFO] 2021-05-04 16:39:55 > Step:   94000 Progress: 94.0% Elapsed: 1 day, 4:20:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.65571 Generator_loss: 1.81476 
[INFO] 2021-05-04 16:39:55 > Start Evaluation (94000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 16:39:55 > Calculating FID Score....
[INFO] 2021-05-04 16:40:28 > Calculating Inception Score....
[INFO] 2021-05-04 16:40:46 > Calculate F_beta Score....
[INFO] 2021-05-04 16:41:41 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 16:41:42 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 16:41:43 > Calculate Accuracies....
[INFO] 2021-05-04 16:41:50 > Calculate Accuracies....
[INFO] 2021-05-04 16:41:52 > F_8 score (Step: 94000, Using test images): 0.9937295282178191
[INFO] 2021-05-04 16:41:52 > F_1/8 score (Step: 94000, Using test images): 0.9951837784187809
[INFO] 2021-05-04 16:41:52 > FID score (Step: 94000, Using test moments): 7.221157996861223
[INFO] 2021-05-04 16:41:52 > Inception score (Step: 94000, 10000 generated images): 9.867043495178223
[INFO] 2021-05-04 16:41:52 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 16:41:53 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 16:43:40 > Step:   94100 Progress: 94.1% Elapsed: 1 day, 4:24:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.70049 Generator_loss: 1.70827 
[INFO] 2021-05-04 16:45:28 > Step:   94200 Progress: 94.2% Elapsed: 1 day, 4:26:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.67584 Generator_loss: 1.9563 
[INFO] 2021-05-04 16:47:17 > Step:   94300 Progress: 94.3% Elapsed: 1 day, 4:27:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.70917 Generator_loss: 1.96811 
[INFO] 2021-05-04 16:49:05 > Step:   94400 Progress: 94.4% Elapsed: 1 day, 4:29:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.85529 Generator_loss: 1.8779 
[INFO] 2021-05-04 16:50:53 > Step:   94500 Progress: 94.5% Elapsed: 1 day, 4:31:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.72229 Generator_loss: 2.07269 
[INFO] 2021-05-04 16:52:41 > Step:   94600 Progress: 94.6% Elapsed: 1 day, 4:33:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.78032 Generator_loss: 2.04302 
[INFO] 2021-05-04 16:54:30 > Step:   94700 Progress: 94.7% Elapsed: 1 day, 4:35:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.63008 Generator_loss: 2.15185 
[INFO] 2021-05-04 16:56:18 > Step:   94800 Progress: 94.8% Elapsed: 1 day, 4:36:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.66951 Generator_loss: 2.18801 
[INFO] 2021-05-04 16:58:07 > Step:   94900 Progress: 94.9% Elapsed: 1 day, 4:38:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.59827 Generator_loss: 2.19278 
[INFO] 2021-05-04 16:59:57 > Step:   95000 Progress: 95.0% Elapsed: 1 day, 4:40:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.55145 Generator_loss: 1.9616 
[INFO] 2021-05-04 17:01:46 > Step:   95100 Progress: 95.1% Elapsed: 1 day, 4:42:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.68471 Generator_loss: 2.04564 
[INFO] 2021-05-04 17:03:34 > Step:   95200 Progress: 95.2% Elapsed: 1 day, 4:44:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.66242 Generator_loss: 1.55718 
[INFO] 2021-05-04 17:05:23 > Step:   95300 Progress: 95.3% Elapsed: 1 day, 4:45:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.64389 Generator_loss: 1.85812 
[INFO] 2021-05-04 17:07:12 > Step:   95400 Progress: 95.4% Elapsed: 1 day, 4:47:45 temperature: 0.5 ada_p: No Discriminator_loss: 3.011 Generator_loss: 1.39709 
[INFO] 2021-05-04 17:09:01 > Step:   95500 Progress: 95.5% Elapsed: 1 day, 4:49:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.75656 Generator_loss: 1.39564 
[INFO] 2021-05-04 17:10:49 > Step:   95600 Progress: 95.6% Elapsed: 1 day, 4:51:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.81912 Generator_loss: 2.08569 
[INFO] 2021-05-04 17:12:33 > Step:   95700 Progress: 95.7% Elapsed: 1 day, 4:53:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.66884 Generator_loss: 2.10144 
[INFO] 2021-05-04 17:14:10 > Step:   95800 Progress: 95.8% Elapsed: 1 day, 4:54:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.80479 Generator_loss: 1.93521 
[INFO] 2021-05-04 17:15:52 > Step:   95900 Progress: 95.9% Elapsed: 1 day, 4:56:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.77725 Generator_loss: 1.77407 
[INFO] 2021-05-04 17:17:35 > Step:   96000 Progress: 96.0% Elapsed: 1 day, 4:58:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.78387 Generator_loss: 1.83011 
[INFO] 2021-05-04 17:17:35 > Start Evaluation (96000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 17:17:35 > Calculating FID Score....
[INFO] 2021-05-04 17:18:08 > Calculating Inception Score....
[INFO] 2021-05-04 17:18:25 > Calculate F_beta Score....
[INFO] 2021-05-04 17:19:16 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 17:19:17 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 17:19:18 > Calculate Accuracies....
[INFO] 2021-05-04 17:19:24 > Calculate Accuracies....
[INFO] 2021-05-04 17:19:26 > F_8 score (Step: 96000, Using test images): 0.9938879618655634
[INFO] 2021-05-04 17:19:26 > F_1/8 score (Step: 96000, Using test images): 0.993432681961822
[INFO] 2021-05-04 17:19:26 > FID score (Step: 96000, Using test moments): 7.285206243773132
[INFO] 2021-05-04 17:19:26 > Inception score (Step: 96000, 10000 generated images): 9.732426643371582
[INFO] 2021-05-04 17:19:26 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 17:19:27 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 17:21:10 > Step:   96100 Progress: 96.1% Elapsed: 1 day, 5:01:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.78605 Generator_loss: 1.87496 
[INFO] 2021-05-04 17:22:53 > Step:   96200 Progress: 96.2% Elapsed: 1 day, 5:03:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.00205 Generator_loss: 1.17241 
[INFO] 2021-05-04 17:24:36 > Step:   96300 Progress: 96.3% Elapsed: 1 day, 5:05:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.72006 Generator_loss: 1.99611 
[INFO] 2021-05-04 17:26:19 > Step:   96400 Progress: 96.4% Elapsed: 1 day, 5:06:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.68872 Generator_loss: 2.21841 
[INFO] 2021-05-04 17:28:02 > Step:   96500 Progress: 96.5% Elapsed: 1 day, 5:08:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.7537 Generator_loss: 1.64005 
[INFO] 2021-05-04 17:29:45 > Step:   96600 Progress: 96.6% Elapsed: 1 day, 5:10:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.71148 Generator_loss: 1.53989 
[INFO] 2021-05-04 17:31:28 > Step:   96700 Progress: 96.7% Elapsed: 1 day, 5:12:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.84286 Generator_loss: 1.99476 
[INFO] 2021-05-04 17:33:11 > Step:   96800 Progress: 96.8% Elapsed: 1 day, 5:13:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.56107 Generator_loss: 1.88708 
[INFO] 2021-05-04 17:34:54 > Step:   96900 Progress: 96.9% Elapsed: 1 day, 5:15:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.72945 Generator_loss: 1.94238 
[INFO] 2021-05-04 17:36:37 > Step:   97000 Progress: 97.0% Elapsed: 1 day, 5:17:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.70977 Generator_loss: 1.55857 
[INFO] 2021-05-04 17:38:19 > Step:   97100 Progress: 97.1% Elapsed: 1 day, 5:18:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86607 Generator_loss: 2.06155 
[INFO] 2021-05-04 17:40:03 > Step:   97200 Progress: 97.2% Elapsed: 1 day, 5:20:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.73344 Generator_loss: 1.54921 
[INFO] 2021-05-04 17:41:45 > Step:   97300 Progress: 97.3% Elapsed: 1 day, 5:22:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.77741 Generator_loss: 1.95299 
[INFO] 2021-05-04 17:43:28 > Step:   97400 Progress: 97.4% Elapsed: 1 day, 5:24:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.66569 Generator_loss: 2.3599 
[INFO] 2021-05-04 17:45:11 > Step:   97500 Progress: 97.5% Elapsed: 1 day, 5:25:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.7069 Generator_loss: 1.82456 
[INFO] 2021-05-04 17:46:54 > Step:   97600 Progress: 97.6% Elapsed: 1 day, 5:27:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.6865 Generator_loss: 2.25853 
[INFO] 2021-05-04 17:48:35 > Step:   97700 Progress: 97.7% Elapsed: 1 day, 5:29:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.66483 Generator_loss: 1.53049 
[INFO] 2021-05-04 17:50:10 > Step:   97800 Progress: 97.8% Elapsed: 1 day, 5:30:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.57226 Generator_loss: 1.77548 
[INFO] 2021-05-04 17:51:53 > Step:   97900 Progress: 97.9% Elapsed: 1 day, 5:32:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.73251 Generator_loss: 1.57731 
[INFO] 2021-05-04 17:53:35 > Step:   98000 Progress: 98.0% Elapsed: 1 day, 5:34:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.76786 Generator_loss: 1.91569 
[INFO] 2021-05-04 17:53:35 > Start Evaluation (98000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 17:53:35 > Calculating FID Score....
[INFO] 2021-05-04 17:54:07 > Calculating Inception Score....
[INFO] 2021-05-04 17:54:24 > Calculate F_beta Score....
[INFO] 2021-05-04 17:55:18 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 17:55:18 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 17:55:19 > Calculate Accuracies....
[INFO] 2021-05-04 17:55:25 > Calculate Accuracies....
[INFO] 2021-05-04 17:55:27 > F_8 score (Step: 98000, Using test images): 0.9952016236313591
[INFO] 2021-05-04 17:55:27 > F_1/8 score (Step: 98000, Using test images): 0.9956186273964734
[INFO] 2021-05-04 17:55:27 > FID score (Step: 98000, Using test moments): 7.279145636921442
[INFO] 2021-05-04 17:55:27 > Inception score (Step: 98000, 10000 generated images): 9.775341987609863
[INFO] 2021-05-04 17:55:27 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 17:55:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 17:57:12 > Step:   98100 Progress: 98.1% Elapsed: 1 day, 5:37:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.72809 Generator_loss: 1.72529 
[INFO] 2021-05-04 17:58:54 > Step:   98200 Progress: 98.2% Elapsed: 1 day, 5:39:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.83919 Generator_loss: 1.4165 
[INFO] 2021-05-04 18:00:37 > Step:   98300 Progress: 98.3% Elapsed: 1 day, 5:41:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.88147 Generator_loss: 1.59683 
[INFO] 2021-05-04 18:02:20 > Step:   98400 Progress: 98.4% Elapsed: 1 day, 5:42:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.82584 Generator_loss: 1.47019 
[INFO] 2021-05-04 18:04:02 > Step:   98500 Progress: 98.5% Elapsed: 1 day, 5:44:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.77313 Generator_loss: 1.40815 
[INFO] 2021-05-04 18:05:45 > Step:   98600 Progress: 98.6% Elapsed: 1 day, 5:46:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.72976 Generator_loss: 1.64128 
[INFO] 2021-05-04 18:07:29 > Step:   98700 Progress: 98.7% Elapsed: 1 day, 5:48:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.69181 Generator_loss: 2.00579 
[INFO] 2021-05-04 18:09:12 > Step:   98800 Progress: 98.8% Elapsed: 1 day, 5:49:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.98574 Generator_loss: 1.9198 
[INFO] 2021-05-04 18:10:55 > Step:   98900 Progress: 98.9% Elapsed: 1 day, 5:51:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.70487 Generator_loss: 2.04444 
[INFO] 2021-05-04 18:12:38 > Step:   99000 Progress: 99.0% Elapsed: 1 day, 5:53:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.97697 Generator_loss: 1.42212 
[INFO] 2021-05-04 18:14:21 > Step:   99100 Progress: 99.1% Elapsed: 1 day, 5:54:55 temperature: 0.5 ada_p: No Discriminator_loss: 3.00065 Generator_loss: 1.97132 
[INFO] 2021-05-04 18:16:04 > Step:   99200 Progress: 99.2% Elapsed: 1 day, 5:56:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.75138 Generator_loss: 1.71327 
[INFO] 2021-05-04 18:17:47 > Step:   99300 Progress: 99.3% Elapsed: 1 day, 5:58:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.9105 Generator_loss: 1.94503 
[INFO] 2021-05-04 18:19:29 > Step:   99400 Progress: 99.4% Elapsed: 1 day, 6:00:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.78968 Generator_loss: 1.53425 
[INFO] 2021-05-04 18:21:13 > Step:   99500 Progress: 99.5% Elapsed: 1 day, 6:01:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.82301 Generator_loss: 2.07952 
[INFO] 2021-05-04 18:22:56 > Step:   99600 Progress: 99.6% Elapsed: 1 day, 6:03:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.60915 Generator_loss: 2.1764 
[INFO] 2021-05-04 18:24:38 > Step:   99700 Progress: 99.7% Elapsed: 1 day, 6:05:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.84084 Generator_loss: 1.60039 
[INFO] 2021-05-04 18:26:14 > Step:   99800 Progress: 99.8% Elapsed: 1 day, 6:06:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.74917 Generator_loss: 1.77274 
[INFO] 2021-05-04 18:27:51 > Step:   99900 Progress: 99.9% Elapsed: 1 day, 6:08:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.88182 Generator_loss: 1.92154 
[INFO] 2021-05-04 18:29:27 > Step:  100000 Progress: 100.0% Elapsed: 1 day, 6:10:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.62963 Generator_loss: 1.62953 
[INFO] 2021-05-04 18:29:27 > Start Evaluation (100000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 18:29:27 > Calculating FID Score....
[INFO] 2021-05-04 18:29:58 > Calculating Inception Score....
[INFO] 2021-05-04 18:30:15 > Calculate F_beta Score....
[INFO] 2021-05-04 18:31:05 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 18:31:06 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 18:31:06 > Calculate Accuracies....
[INFO] 2021-05-04 18:31:13 > Calculate Accuracies....
[INFO] 2021-05-04 18:31:14 > F_8 score (Step: 100000, Using test images): 0.9950093061248904
[INFO] 2021-05-04 18:31:14 > F_1/8 score (Step: 100000, Using test images): 0.9950847112043675
[INFO] 2021-05-04 18:31:14 > FID score (Step: 100000, Using test moments): 7.3258372739627475
[INFO] 2021-05-04 18:31:14 > Inception score (Step: 100000, 10000 generated images): 9.696863174438477
[INFO] 2021-05-04 18:31:14 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065
[INFO] 2021-05-04 18:31:15 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 18:31:16 > Start Evaluation (100000 Step): CCMGAN-train-2021_05_03_12_19_16
[INFO] 2021-05-04 18:31:16 > Calculating FID Score....
[INFO] 2021-05-04 18:31:47 > Calculating Inception Score....
[INFO] 2021-05-04 18:32:04 > Calculate F_beta Score....
[INFO] 2021-05-04 18:32:54 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/pr_curve.png
[INFO] 2021-05-04 18:32:55 > Save image to ./figures/CCMGAN-train-2021_05_03_12_19_16/sim_heatmap.png
[INFO] 2021-05-04 18:32:55 > Calculate Accuracies....
[INFO] 2021-05-04 18:33:01 > Calculate Accuracies....
[INFO] 2021-05-04 18:33:03 > F_8 score (Step: 100000, Using test images): 0.9929697725258059
[INFO] 2021-05-04 18:33:03 > F_1/8 score (Step: 100000, Using test images): 0.9942129794467904
[INFO] 2021-05-04 18:33:03 > FID score (Step: 100000, Using test moments): 7.24640163709239
[INFO] 2021-05-04 18:33:03 > Inception score (Step: 100000, 10000 generated images): 9.703775405883789
[INFO] 2021-05-04 18:33:03 > Best FID score (Step: 82000, Using test moments): 7.1758685109969065