Path: blob/master/logs/CIFAR10/CCMGAN-train-2021_05_03_12_19_16.log
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[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