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CCMGAN-train-2021_05_03_12_20_37.log
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CCMGAN-train-2021_05_03_12_20_37.log
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[INFO] 2021-05-03 12:20:37 > Run name : CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 12:20:37 > {
"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": 369,
"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 12:20:37 > {
"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": 200000
},
"loss_function": {
"adv_loss": "hinge",
"contrastive_lambda": 0.5,
"margin": 0.98,
"tempering_type": "constant",
"tempering_step": "N/A",
"start_temperature": 0.5,
"end_temperature": 0.5,
"weight_clipping_for_dis": false,
"weight_clipping_bound": "N/A",
"gradient_penalty_for_dis": false,
"gradient_penalty_lambda": "N/A",
"deep_regret_analysis_for_dis": false,
"regret_penalty_lambda": "N/A",
"cr": false,
"cr_lambda": "N/A",
"bcr": false,
"real_lambda": "N/A",
"fake_lambda": "N/A",
"zcr": false,
"gen_lambda": "N/A",
"dis_lambda": "N/A",
"sigma_noise": "N/A"
},
"initialization": {
"g_init": "ortho",
"d_init": "ortho"
},
"training_and_sampling_setting": {
"random_flip_preprocessing": true,
"diff_aug": true,
"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 12:20:37 > Load train datasets...
[INFO] 2021-05-03 12:20:37 > Train dataset size : 50000
[INFO] 2021-05-03 12:20:37 > Load test datasets...
[INFO] 2021-05-03 12:20:38 > Eval dataset size : 10000
[INFO] 2021-05-03 12:20:38 > Build model...
[INFO] 2021-05-03 12:20:38 > Modules are located on models.big_resnet.
[INFO] 2021-05-03 12:20:45 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-05-03 12:20:45 > Number of parameters: 9416196
[INFO] 2021-05-03 12:20:45 > 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 12:20:45 > Number of parameters: 2648898
[INFO] 2021-05-03 12:20:45 > 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 12:20:49 > Start training....
[INFO] 2021-05-03 12:22:17 > Step: 100 Progress: 0.1% Elapsed: 0:01:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.34371 Generator_loss: 2.55085
[INFO] 2021-05-03 12:23:42 > Step: 200 Progress: 0.1% Elapsed: 0:02:52 temperature: 0.5 ada_p: No Discriminator_loss: 3.75351 Generator_loss: 2.67106
[INFO] 2021-05-03 12:25:06 > Step: 300 Progress: 0.1% Elapsed: 0:04:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.78898 Generator_loss: 4.306
[INFO] 2021-05-03 12:26:31 > Step: 400 Progress: 0.2% Elapsed: 0:05:41 temperature: 0.5 ada_p: No Discriminator_loss: 3.70596 Generator_loss: 2.2659
[INFO] 2021-05-03 12:27:54 > Step: 500 Progress: 0.2% Elapsed: 0:07:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.59885 Generator_loss: 2.4336
[INFO] 2021-05-03 12:29:18 > Step: 600 Progress: 0.3% Elapsed: 0:08:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.80922 Generator_loss: 2.10207
[INFO] 2021-05-03 12:30:42 > Step: 700 Progress: 0.4% Elapsed: 0:09:53 temperature: 0.5 ada_p: No Discriminator_loss: 3.35953 Generator_loss: 2.3239
[INFO] 2021-05-03 12:32:07 > Step: 800 Progress: 0.4% Elapsed: 0:11:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.38767 Generator_loss: 2.60179
[INFO] 2021-05-03 12:33:32 > Step: 900 Progress: 0.4% Elapsed: 0:12:42 temperature: 0.5 ada_p: No Discriminator_loss: 3.5092 Generator_loss: 2.36739
[INFO] 2021-05-03 12:34:56 > Step: 1000 Progress: 0.5% Elapsed: 0:14:07 temperature: 0.5 ada_p: No Discriminator_loss: 3.34429 Generator_loss: 2.22176
[INFO] 2021-05-03 12:36:21 > Step: 1100 Progress: 0.5% Elapsed: 0:15:31 temperature: 0.5 ada_p: No Discriminator_loss: 3.37033 Generator_loss: 2.67725
[INFO] 2021-05-03 12:37:45 > Step: 1200 Progress: 0.6% Elapsed: 0:16:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.53678 Generator_loss: 2.23586
[INFO] 2021-05-03 12:39:10 > Step: 1300 Progress: 0.7% Elapsed: 0:18:20 temperature: 0.5 ada_p: No Discriminator_loss: 3.39733 Generator_loss: 2.13813
[INFO] 2021-05-03 12:40:34 > Step: 1400 Progress: 0.7% Elapsed: 0:19:45 temperature: 0.5 ada_p: No Discriminator_loss: 3.32826 Generator_loss: 2.35172
[INFO] 2021-05-03 12:41:59 > Step: 1500 Progress: 0.8% Elapsed: 0:21:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.43368 Generator_loss: 2.79887
[INFO] 2021-05-03 12:43:23 > Step: 1600 Progress: 0.8% Elapsed: 0:22:33 temperature: 0.5 ada_p: No Discriminator_loss: 3.09193 Generator_loss: 3.02839
[INFO] 2021-05-03 12:44:47 > Step: 1700 Progress: 0.9% Elapsed: 0:23:57 temperature: 0.5 ada_p: No Discriminator_loss: 3.32194 Generator_loss: 2.16184
[INFO] 2021-05-03 12:46:12 > Step: 1800 Progress: 0.9% Elapsed: 0:25:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.29705 Generator_loss: 1.9529
[INFO] 2021-05-03 12:47:36 > Step: 1900 Progress: 0.9% Elapsed: 0:26:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.08844 Generator_loss: 2.27151
[INFO] 2021-05-03 12:49:00 > Step: 2000 Progress: 1.0% Elapsed: 0:28:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.43108 Generator_loss: 1.74243
[INFO] 2021-05-03 12:49:00 > Start Evaluation (2000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 12:49:00 > Calculating FID Score....
[INFO] 2021-05-03 12:49:35 > Calculating Inception Score....
[INFO] 2021-05-03 12:49:52 > Calculate F_beta Score....
[INFO] 2021-05-03 12:50:49 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 12:50:49 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 12:50:50 > Calculate Accuracies....
[INFO] 2021-05-03 12:50:57 > Calculate Accuracies....
[INFO] 2021-05-03 12:50:59 > F_8 score (Step: 2000, Using test images): 0.7670033868698203
[INFO] 2021-05-03 12:50:59 > F_1/8 score (Step: 2000, Using test images): 0.8424204865032322
[INFO] 2021-05-03 12:50:59 > FID score (Step: 2000, Using test moments): 48.07521486304756
[INFO] 2021-05-03 12:50:59 > Inception score (Step: 2000, 10000 generated images): 6.210412502288818
[INFO] 2021-05-03 12:50:59 > Best FID score (Step: 2000, Using test moments): 48.07521486304756
[INFO] 2021-05-03 12:51:01 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 12:52:26 > Step: 2100 Progress: 1.1% Elapsed: 0:31:36 temperature: 0.5 ada_p: No Discriminator_loss: 3.20757 Generator_loss: 2.70056
[INFO] 2021-05-03 12:53:50 > Step: 2200 Progress: 1.1% Elapsed: 0:33:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.42766 Generator_loss: 2.15545
[INFO] 2021-05-03 12:55:10 > Step: 2300 Progress: 1.1% Elapsed: 0:34:21 temperature: 0.5 ada_p: No Discriminator_loss: 3.34468 Generator_loss: 2.15579
[INFO] 2021-05-03 12:56:33 > Step: 2400 Progress: 1.2% Elapsed: 0:35:44 temperature: 0.5 ada_p: No Discriminator_loss: 3.19387 Generator_loss: 2.8131
[INFO] 2021-05-03 12:57:58 > Step: 2500 Progress: 1.2% Elapsed: 0:37:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.30457 Generator_loss: 2.64866
[INFO] 2021-05-03 12:59:22 > Step: 2600 Progress: 1.3% Elapsed: 0:38:33 temperature: 0.5 ada_p: No Discriminator_loss: 3.671 Generator_loss: 1.65589
[INFO] 2021-05-03 13:00:47 > Step: 2700 Progress: 1.4% Elapsed: 0:39:58 temperature: 0.5 ada_p: No Discriminator_loss: 3.0215 Generator_loss: 2.46377
[INFO] 2021-05-03 13:02:12 > Step: 2800 Progress: 1.4% Elapsed: 0:41:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.99622 Generator_loss: 2.38151
[INFO] 2021-05-03 13:03:37 > Step: 2900 Progress: 1.5% Elapsed: 0:42:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.1406 Generator_loss: 3.30397
[INFO] 2021-05-03 13:05:01 > Step: 3000 Progress: 1.5% Elapsed: 0:44:11 temperature: 0.5 ada_p: No Discriminator_loss: 3.07976 Generator_loss: 1.8665
[INFO] 2021-05-03 13:06:25 > Step: 3100 Progress: 1.6% Elapsed: 0:45:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.08468 Generator_loss: 2.24342
[INFO] 2021-05-03 13:07:50 > Step: 3200 Progress: 1.6% Elapsed: 0:47:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.23793 Generator_loss: 2.6819
[INFO] 2021-05-03 13:09:14 > Step: 3300 Progress: 1.7% Elapsed: 0:48:24 temperature: 0.5 ada_p: No Discriminator_loss: 3.13054 Generator_loss: 2.40653
[INFO] 2021-05-03 13:10:38 > Step: 3400 Progress: 1.7% Elapsed: 0:49:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.95894 Generator_loss: 2.44085
[INFO] 2021-05-03 13:12:03 > Step: 3500 Progress: 1.8% Elapsed: 0:51:13 temperature: 0.5 ada_p: No Discriminator_loss: 3.13218 Generator_loss: 2.58375
[INFO] 2021-05-03 13:13:27 > Step: 3600 Progress: 1.8% Elapsed: 0:52:38 temperature: 0.5 ada_p: No Discriminator_loss: 3.21269 Generator_loss: 2.41856
[INFO] 2021-05-03 13:14:52 > Step: 3700 Progress: 1.8% Elapsed: 0:54:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.21099 Generator_loss: 2.15996
[INFO] 2021-05-03 13:16:16 > Step: 3800 Progress: 1.9% Elapsed: 0:55:27 temperature: 0.5 ada_p: No Discriminator_loss: 3.26641 Generator_loss: 1.87272
[INFO] 2021-05-03 13:17:41 > Step: 3900 Progress: 1.9% Elapsed: 0:56:51 temperature: 0.5 ada_p: No Discriminator_loss: 3.52559 Generator_loss: 2.62631
[INFO] 2021-05-03 13:19:06 > Step: 4000 Progress: 2.0% Elapsed: 0:58:16 temperature: 0.5 ada_p: No Discriminator_loss: 3.1128 Generator_loss: 2.49298
[INFO] 2021-05-03 13:19:06 > Start Evaluation (4000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 13:19:06 > Calculating FID Score....
[INFO] 2021-05-03 13:19:40 > Calculating Inception Score....
[INFO] 2021-05-03 13:19:57 > Calculate F_beta Score....
[INFO] 2021-05-03 13:20:53 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 13:20:54 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 13:20:54 > Calculate Accuracies....
[INFO] 2021-05-03 13:21:01 > Calculate Accuracies....
[INFO] 2021-05-03 13:21:03 > F_8 score (Step: 4000, Using test images): 0.8119109918552787
[INFO] 2021-05-03 13:21:03 > F_1/8 score (Step: 4000, Using test images): 0.8740457297617806
[INFO] 2021-05-03 13:21:03 > FID score (Step: 4000, Using test moments): 40.871904161492466
[INFO] 2021-05-03 13:21:03 > Inception score (Step: 4000, 10000 generated images): 6.978516101837158
[INFO] 2021-05-03 13:21:03 > Best FID score (Step: 4000, Using test moments): 40.871904161492466
[INFO] 2021-05-03 13:21:05 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 13:22:29 > Step: 4100 Progress: 2.1% Elapsed: 1:01:40 temperature: 0.5 ada_p: No Discriminator_loss: 3.17558 Generator_loss: 1.95118
[INFO] 2021-05-03 13:23:53 > Step: 4200 Progress: 2.1% Elapsed: 1:03:03 temperature: 0.5 ada_p: No Discriminator_loss: 3.13545 Generator_loss: 2.12505
[INFO] 2021-05-03 13:25:18 > Step: 4300 Progress: 2.1% Elapsed: 1:04:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.01028 Generator_loss: 1.47057
[INFO] 2021-05-03 13:26:42 > Step: 4400 Progress: 2.2% Elapsed: 1:05:53 temperature: 0.5 ada_p: No Discriminator_loss: 3.16641 Generator_loss: 2.83674
[INFO] 2021-05-03 13:28:07 > Step: 4500 Progress: 2.2% Elapsed: 1:07:17 temperature: 0.5 ada_p: No Discriminator_loss: 3.25739 Generator_loss: 1.94484
[INFO] 2021-05-03 13:29:31 > Step: 4600 Progress: 2.3% Elapsed: 1:08:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.98653 Generator_loss: 2.0426
[INFO] 2021-05-03 13:30:53 > Step: 4700 Progress: 2.4% Elapsed: 1:10:04 temperature: 0.5 ada_p: No Discriminator_loss: 3.06238 Generator_loss: 1.71328
[INFO] 2021-05-03 13:32:14 > Step: 4800 Progress: 2.4% Elapsed: 1:11:25 temperature: 0.5 ada_p: No Discriminator_loss: 3.54693 Generator_loss: 2.94427
[INFO] 2021-05-03 13:33:39 > Step: 4900 Progress: 2.5% Elapsed: 1:12:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.96965 Generator_loss: 3.03321
[INFO] 2021-05-03 13:35:04 > Step: 5000 Progress: 2.5% Elapsed: 1:14:14 temperature: 0.5 ada_p: No Discriminator_loss: 3.05469 Generator_loss: 2.50427
[INFO] 2021-05-03 13:36:28 > Step: 5100 Progress: 2.5% Elapsed: 1:15:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.03587 Generator_loss: 2.28608
[INFO] 2021-05-03 13:37:53 > Step: 5200 Progress: 2.6% Elapsed: 1:17:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.99345 Generator_loss: 1.83862
[INFO] 2021-05-03 13:39:18 > Step: 5300 Progress: 2.6% Elapsed: 1:18:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.97022 Generator_loss: 2.47022
[INFO] 2021-05-03 13:40:43 > Step: 5400 Progress: 2.7% Elapsed: 1:19:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.96294 Generator_loss: 2.52468
[INFO] 2021-05-03 13:42:07 > Step: 5500 Progress: 2.8% Elapsed: 1:21:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.03982 Generator_loss: 2.32231
[INFO] 2021-05-03 13:43:32 > Step: 5600 Progress: 2.8% Elapsed: 1:22:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.95188 Generator_loss: 2.5812
[INFO] 2021-05-03 13:44:57 > Step: 5700 Progress: 2.9% Elapsed: 1:24:08 temperature: 0.5 ada_p: No Discriminator_loss: 3.13715 Generator_loss: 1.9388
[INFO] 2021-05-03 13:46:22 > Step: 5800 Progress: 2.9% Elapsed: 1:25:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.91015 Generator_loss: 1.60097
[INFO] 2021-05-03 13:47:46 > Step: 5900 Progress: 2.9% Elapsed: 1:26:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.92566 Generator_loss: 1.91981
[INFO] 2021-05-03 13:49:10 > Step: 6000 Progress: 3.0% Elapsed: 1:28:21 temperature: 0.5 ada_p: No Discriminator_loss: 3.01647 Generator_loss: 1.51831
[INFO] 2021-05-03 13:49:10 > Start Evaluation (6000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 13:49:10 > Calculating FID Score....
[INFO] 2021-05-03 13:49:44 > Calculating Inception Score....
[INFO] 2021-05-03 13:50:01 > Calculate F_beta Score....
[INFO] 2021-05-03 13:51:00 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 13:51:00 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 13:51:01 > Calculate Accuracies....
[INFO] 2021-05-03 13:51:08 > Calculate Accuracies....
[INFO] 2021-05-03 13:51:10 > F_8 score (Step: 6000, Using test images): 0.8861882488196816
[INFO] 2021-05-03 13:51:10 > F_1/8 score (Step: 6000, Using test images): 0.921257877992003
[INFO] 2021-05-03 13:51:10 > FID score (Step: 6000, Using test moments): 35.42977088251064
[INFO] 2021-05-03 13:51:10 > Inception score (Step: 6000, 10000 generated images): 7.637669086456299
[INFO] 2021-05-03 13:51:10 > Best FID score (Step: 6000, Using test moments): 35.42977088251064
[INFO] 2021-05-03 13:51:13 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 13:52:37 > Step: 6100 Progress: 3.0% Elapsed: 1:31:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.04634 Generator_loss: 1.80677
[INFO] 2021-05-03 13:54:01 > Step: 6200 Progress: 3.1% Elapsed: 1:33:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.93804 Generator_loss: 2.5246
[INFO] 2021-05-03 13:55:25 > Step: 6300 Progress: 3.1% Elapsed: 1:34:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.94298 Generator_loss: 2.70213
[INFO] 2021-05-03 13:56:50 > Step: 6400 Progress: 3.2% Elapsed: 1:36:00 temperature: 0.5 ada_p: No Discriminator_loss: 3.01035 Generator_loss: 2.03732
[INFO] 2021-05-03 13:58:14 > Step: 6500 Progress: 3.2% Elapsed: 1:37:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.89438 Generator_loss: 1.8317
[INFO] 2021-05-03 13:59:38 > Step: 6600 Progress: 3.3% Elapsed: 1:38:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.06092 Generator_loss: 1.83166
[INFO] 2021-05-03 14:01:02 > Step: 6700 Progress: 3.4% Elapsed: 1:40:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.83794 Generator_loss: 2.67359
[INFO] 2021-05-03 14:02:27 > Step: 6800 Progress: 3.4% Elapsed: 1:41:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.97322 Generator_loss: 1.9656
[INFO] 2021-05-03 14:03:51 > Step: 6900 Progress: 3.5% Elapsed: 1:43:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.12766 Generator_loss: 1.51246
[INFO] 2021-05-03 14:05:15 > Step: 7000 Progress: 3.5% Elapsed: 1:44:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.95687 Generator_loss: 1.73565
[INFO] 2021-05-03 14:06:38 > Step: 7100 Progress: 3.5% Elapsed: 1:45:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.77391 Generator_loss: 2.38239
[INFO] 2021-05-03 14:07:59 > Step: 7200 Progress: 3.6% Elapsed: 1:47:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.04435 Generator_loss: 2.49568
[INFO] 2021-05-03 14:09:21 > Step: 7300 Progress: 3.6% Elapsed: 1:48:32 temperature: 0.5 ada_p: No Discriminator_loss: 3.02638 Generator_loss: 2.37141
[INFO] 2021-05-03 14:10:46 > Step: 7400 Progress: 3.7% Elapsed: 1:49:56 temperature: 0.5 ada_p: No Discriminator_loss: 3.21951 Generator_loss: 1.70475
[INFO] 2021-05-03 14:12:11 > Step: 7500 Progress: 3.8% Elapsed: 1:51:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.92507 Generator_loss: 1.98582
[INFO] 2021-05-03 14:13:35 > Step: 7600 Progress: 3.8% Elapsed: 1:52:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.97812 Generator_loss: 2.23652
[INFO] 2021-05-03 14:15:00 > Step: 7700 Progress: 3.9% Elapsed: 1:54:10 temperature: 0.5 ada_p: No Discriminator_loss: 3.36586 Generator_loss: 3.67228
[INFO] 2021-05-03 14:16:24 > Step: 7800 Progress: 3.9% Elapsed: 1:55:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.95759 Generator_loss: 2.292
[INFO] 2021-05-03 14:17:49 > Step: 7900 Progress: 4.0% Elapsed: 1:56:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.96349 Generator_loss: 1.94532
[INFO] 2021-05-03 14:19:12 > Step: 8000 Progress: 4.0% Elapsed: 1:58:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.74353 Generator_loss: 2.08179
[INFO] 2021-05-03 14:19:12 > Start Evaluation (8000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 14:19:12 > Calculating FID Score....
[INFO] 2021-05-03 14:19:46 > Calculating Inception Score....
[INFO] 2021-05-03 14:20:03 > Calculate F_beta Score....
[INFO] 2021-05-03 14:21:00 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 14:21:00 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 14:21:01 > Calculate Accuracies....
[INFO] 2021-05-03 14:21:08 > Calculate Accuracies....
[INFO] 2021-05-03 14:21:09 > F_8 score (Step: 8000, Using test images): 0.9199750264964661
[INFO] 2021-05-03 14:21:09 > F_1/8 score (Step: 8000, Using test images): 0.9432935547670637
[INFO] 2021-05-03 14:21:09 > FID score (Step: 8000, Using test moments): 28.813433296431185
[INFO] 2021-05-03 14:21:09 > Inception score (Step: 8000, 10000 generated images): 8.209046363830566
[INFO] 2021-05-03 14:21:09 > Best FID score (Step: 8000, Using test moments): 28.813433296431185
[INFO] 2021-05-03 14:21:12 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 14:22:36 > Step: 8100 Progress: 4.0% Elapsed: 2:01:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.77972 Generator_loss: 2.15976
[INFO] 2021-05-03 14:24:00 > Step: 8200 Progress: 4.1% Elapsed: 2:03:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.91262 Generator_loss: 2.31453
[INFO] 2021-05-03 14:25:24 > Step: 8300 Progress: 4.2% Elapsed: 2:04:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.89303 Generator_loss: 2.25095
[INFO] 2021-05-03 14:26:49 > Step: 8400 Progress: 4.2% Elapsed: 2:05:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.8736 Generator_loss: 2.1468
[INFO] 2021-05-03 14:28:13 > Step: 8500 Progress: 4.2% Elapsed: 2:07:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.1304 Generator_loss: 2.87826
[INFO] 2021-05-03 14:29:38 > Step: 8600 Progress: 4.3% Elapsed: 2:08:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.97039 Generator_loss: 2.40105
[INFO] 2021-05-03 14:31:02 > Step: 8700 Progress: 4.3% Elapsed: 2:10:12 temperature: 0.5 ada_p: No Discriminator_loss: 3.04762 Generator_loss: 2.01207
[INFO] 2021-05-03 14:32:26 > Step: 8800 Progress: 4.4% Elapsed: 2:11:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.88611 Generator_loss: 2.73416
[INFO] 2021-05-03 14:33:50 > Step: 8900 Progress: 4.5% Elapsed: 2:13:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.92278 Generator_loss: 2.14632
[INFO] 2021-05-03 14:35:14 > Step: 9000 Progress: 4.5% Elapsed: 2:14:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.96778 Generator_loss: 2.54753
[INFO] 2021-05-03 14:36:39 > Step: 9100 Progress: 4.5% Elapsed: 2:15:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.80243 Generator_loss: 2.31284
[INFO] 2021-05-03 14:38:03 > Step: 9200 Progress: 4.6% Elapsed: 2:17:13 temperature: 0.5 ada_p: No Discriminator_loss: 3.0632 Generator_loss: 1.88771
[INFO] 2021-05-03 14:39:28 > Step: 9300 Progress: 4.7% Elapsed: 2:18:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.99319 Generator_loss: 1.54122
[INFO] 2021-05-03 14:40:52 > Step: 9400 Progress: 4.7% Elapsed: 2:20:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.86175 Generator_loss: 2.45748
[INFO] 2021-05-03 14:42:16 > Step: 9500 Progress: 4.8% Elapsed: 2:21:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.89084 Generator_loss: 2.24153
[INFO] 2021-05-03 14:43:38 > Step: 9600 Progress: 4.8% Elapsed: 2:22:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.86339 Generator_loss: 2.10233
[INFO] 2021-05-03 14:44:59 > Step: 9700 Progress: 4.9% Elapsed: 2:24:09 temperature: 0.5 ada_p: No Discriminator_loss: 3.06669 Generator_loss: 2.28294
[INFO] 2021-05-03 14:46:23 > Step: 9800 Progress: 4.9% Elapsed: 2:25:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.88767 Generator_loss: 2.18894
[INFO] 2021-05-03 14:47:48 > Step: 9900 Progress: 5.0% Elapsed: 2:26:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.99802 Generator_loss: 2.25888
[INFO] 2021-05-03 14:49:12 > Step: 10000 Progress: 5.0% Elapsed: 2:28:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.98076 Generator_loss: 2.62845
[INFO] 2021-05-03 14:49:12 > Start Evaluation (10000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 14:49:12 > Calculating FID Score....
[INFO] 2021-05-03 14:49:46 > Calculating Inception Score....
[INFO] 2021-05-03 14:50:04 > Calculate F_beta Score....
[INFO] 2021-05-03 14:51:00 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 14:51:01 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 14:51:01 > Calculate Accuracies....
[INFO] 2021-05-03 14:51:08 > Calculate Accuracies....
[INFO] 2021-05-03 14:51:10 > F_8 score (Step: 10000, Using test images): 0.9476806110241208
[INFO] 2021-05-03 14:51:10 > F_1/8 score (Step: 10000, Using test images): 0.971974106795092
[INFO] 2021-05-03 14:51:10 > FID score (Step: 10000, Using test moments): 23.283883726015006
[INFO] 2021-05-03 14:51:10 > Inception score (Step: 10000, 10000 generated images): 8.780488967895508
[INFO] 2021-05-03 14:51:10 > Best FID score (Step: 10000, Using test moments): 23.283883726015006
[INFO] 2021-05-03 14:51:13 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 14:52:36 > Step: 10100 Progress: 5.1% Elapsed: 2:31:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.91093 Generator_loss: 2.27011
[INFO] 2021-05-03 14:54:01 > Step: 10200 Progress: 5.1% Elapsed: 2:33:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.88594 Generator_loss: 2.45635
[INFO] 2021-05-03 14:55:25 > Step: 10300 Progress: 5.1% Elapsed: 2:34:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.937 Generator_loss: 2.35174
[INFO] 2021-05-03 14:56:50 > Step: 10400 Progress: 5.2% Elapsed: 2:36:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.84522 Generator_loss: 1.59184
[INFO] 2021-05-03 14:58:14 > Step: 10500 Progress: 5.2% Elapsed: 2:37:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.97409 Generator_loss: 2.07293
[INFO] 2021-05-03 14:59:39 > Step: 10600 Progress: 5.3% Elapsed: 2:38:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.10525 Generator_loss: 2.27375
[INFO] 2021-05-03 15:01:04 > Step: 10700 Progress: 5.3% Elapsed: 2:40:15 temperature: 0.5 ada_p: No Discriminator_loss: 3.01816 Generator_loss: 2.36595
[INFO] 2021-05-03 15:02:29 > Step: 10800 Progress: 5.4% Elapsed: 2:41:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.93969 Generator_loss: 2.32789
[INFO] 2021-05-03 15:03:53 > Step: 10900 Progress: 5.5% Elapsed: 2:43:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.89711 Generator_loss: 1.66874
[INFO] 2021-05-03 15:05:18 > Step: 11000 Progress: 5.5% Elapsed: 2:44:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.84948 Generator_loss: 1.91267
[INFO] 2021-05-03 15:06:43 > Step: 11100 Progress: 5.5% Elapsed: 2:45:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.84293 Generator_loss: 2.22646
[INFO] 2021-05-03 15:08:08 > Step: 11200 Progress: 5.6% Elapsed: 2:47:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.04973 Generator_loss: 2.39047
[INFO] 2021-05-03 15:09:32 > Step: 11300 Progress: 5.7% Elapsed: 2:48:42 temperature: 0.5 ada_p: No Discriminator_loss: 3.10031 Generator_loss: 1.85309
[INFO] 2021-05-03 15:10:56 > Step: 11400 Progress: 5.7% Elapsed: 2:50:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.93021 Generator_loss: 1.94788
[INFO] 2021-05-03 15:12:21 > Step: 11500 Progress: 5.8% Elapsed: 2:51:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.82463 Generator_loss: 2.67788
[INFO] 2021-05-03 15:13:45 > Step: 11600 Progress: 5.8% Elapsed: 2:52:55 temperature: 0.5 ada_p: No Discriminator_loss: 3.00301 Generator_loss: 2.43723
[INFO] 2021-05-03 15:15:09 > Step: 11700 Progress: 5.9% Elapsed: 2:54:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.88001 Generator_loss: 1.89803
[INFO] 2021-05-03 15:16:34 > Step: 11800 Progress: 5.9% Elapsed: 2:55:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.92093 Generator_loss: 1.90112
[INFO] 2021-05-03 15:17:58 > Step: 11900 Progress: 5.9% Elapsed: 2:57:08 temperature: 0.5 ada_p: No Discriminator_loss: 3.08293 Generator_loss: 2.89801
[INFO] 2021-05-03 15:19:19 > Step: 12000 Progress: 6.0% Elapsed: 2:58:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.83055 Generator_loss: 2.1518
[INFO] 2021-05-03 15:19:19 > Start Evaluation (12000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 15:19:19 > Calculating FID Score....
[INFO] 2021-05-03 15:19:50 > Calculating Inception Score....
[INFO] 2021-05-03 15:20:07 > Calculate F_beta Score....
[INFO] 2021-05-03 15:21:01 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 15:21:01 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 15:21:01 > Calculate Accuracies....
[INFO] 2021-05-03 15:21:08 > Calculate Accuracies....
[INFO] 2021-05-03 15:21:09 > F_8 score (Step: 12000, Using test images): 0.9642597467099996
[INFO] 2021-05-03 15:21:10 > F_1/8 score (Step: 12000, Using test images): 0.9824978174347704
[INFO] 2021-05-03 15:21:10 > FID score (Step: 12000, Using test moments): 19.08509881882486
[INFO] 2021-05-03 15:21:10 > Inception score (Step: 12000, 10000 generated images): 9.077549934387207
[INFO] 2021-05-03 15:21:10 > Best FID score (Step: 12000, Using test moments): 19.08509881882486
[INFO] 2021-05-03 15:21:13 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 15:22:36 > Step: 12100 Progress: 6.0% Elapsed: 3:01:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.07972 Generator_loss: 3.02114
[INFO] 2021-05-03 15:23:59 > Step: 12200 Progress: 6.1% Elapsed: 3:03:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.93753 Generator_loss: 2.23872
[INFO] 2021-05-03 15:25:23 > Step: 12300 Progress: 6.2% Elapsed: 3:04:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.9812 Generator_loss: 1.90272
[INFO] 2021-05-03 15:26:47 > Step: 12400 Progress: 6.2% Elapsed: 3:05:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.77735 Generator_loss: 2.33909
[INFO] 2021-05-03 15:28:11 > Step: 12500 Progress: 6.2% Elapsed: 3:07:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.91809 Generator_loss: 2.15658
[INFO] 2021-05-03 15:29:35 > Step: 12600 Progress: 6.3% Elapsed: 3:08:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.82968 Generator_loss: 2.37578
[INFO] 2021-05-03 15:30:58 > Step: 12700 Progress: 6.3% Elapsed: 3:10:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.99793 Generator_loss: 1.50745
[INFO] 2021-05-03 15:32:24 > Step: 12800 Progress: 6.4% Elapsed: 3:11:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.74213 Generator_loss: 1.95327
[INFO] 2021-05-03 15:33:48 > Step: 12900 Progress: 6.5% Elapsed: 3:12:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.89088 Generator_loss: 2.82463
[INFO] 2021-05-03 15:35:12 > Step: 13000 Progress: 6.5% Elapsed: 3:14:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.66294 Generator_loss: 2.39909
[INFO] 2021-05-03 15:36:36 > Step: 13100 Progress: 6.6% Elapsed: 3:15:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.0274 Generator_loss: 1.98095
[INFO] 2021-05-03 15:38:01 > Step: 13200 Progress: 6.6% Elapsed: 3:17:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.88678 Generator_loss: 2.19125
[INFO] 2021-05-03 15:39:24 > Step: 13300 Progress: 6.7% Elapsed: 3:18:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.90008 Generator_loss: 2.47658
[INFO] 2021-05-03 15:40:49 > Step: 13400 Progress: 6.7% Elapsed: 3:19:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.93597 Generator_loss: 2.23644
[INFO] 2021-05-03 15:42:14 > Step: 13500 Progress: 6.8% Elapsed: 3:21:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.91443 Generator_loss: 2.23479
[INFO] 2021-05-03 15:43:39 > Step: 13600 Progress: 6.8% Elapsed: 3:22:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.93957 Generator_loss: 2.05165
[INFO] 2021-05-03 15:45:03 > Step: 13700 Progress: 6.9% Elapsed: 3:24:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.8298 Generator_loss: 2.20673
[INFO] 2021-05-03 15:46:27 > Step: 13800 Progress: 6.9% Elapsed: 3:25:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.98595 Generator_loss: 2.17041
[INFO] 2021-05-03 15:47:52 > Step: 13900 Progress: 7.0% Elapsed: 3:27:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.80268 Generator_loss: 2.41699
[INFO] 2021-05-03 15:49:16 > Step: 14000 Progress: 7.0% Elapsed: 3:28:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.89837 Generator_loss: 1.93395
[INFO] 2021-05-03 15:49:16 > Start Evaluation (14000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 15:49:16 > Calculating FID Score....
[INFO] 2021-05-03 15:49:50 > Calculating Inception Score....
[INFO] 2021-05-03 15:50:08 > Calculate F_beta Score....
[INFO] 2021-05-03 15:51:05 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 15:51:05 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 15:51:06 > Calculate Accuracies....
[INFO] 2021-05-03 15:51:13 > Calculate Accuracies....
[INFO] 2021-05-03 15:51:15 > F_8 score (Step: 14000, Using test images): 0.9775334688142184
[INFO] 2021-05-03 15:51:15 > F_1/8 score (Step: 14000, Using test images): 0.9864560482590012
[INFO] 2021-05-03 15:51:15 > FID score (Step: 14000, Using test moments): 16.14115356940448
[INFO] 2021-05-03 15:51:15 > Inception score (Step: 14000, 10000 generated images): 9.299273490905762
[INFO] 2021-05-03 15:51:15 > Best FID score (Step: 14000, Using test moments): 16.14115356940448
[INFO] 2021-05-03 15:51:21 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 15:52:45 > Step: 14100 Progress: 7.0% Elapsed: 3:31:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.98895 Generator_loss: 2.05988
[INFO] 2021-05-03 15:54:09 > Step: 14200 Progress: 7.1% Elapsed: 3:33:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.77849 Generator_loss: 2.87794
[INFO] 2021-05-03 15:55:30 > Step: 14300 Progress: 7.1% Elapsed: 3:34:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.84016 Generator_loss: 2.30832
[INFO] 2021-05-03 15:56:51 > Step: 14400 Progress: 7.2% Elapsed: 3:36:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.90548 Generator_loss: 1.94359
[INFO] 2021-05-03 15:58:13 > Step: 14500 Progress: 7.2% Elapsed: 3:37:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.81707 Generator_loss: 2.33991
[INFO] 2021-05-03 15:59:37 > Step: 14600 Progress: 7.3% Elapsed: 3:38:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.6372 Generator_loss: 2.0327
[INFO] 2021-05-03 16:01:01 > Step: 14700 Progress: 7.3% Elapsed: 3:40:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.96095 Generator_loss: 2.30294
[INFO] 2021-05-03 16:02:25 > Step: 14800 Progress: 7.4% Elapsed: 3:41:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.00311 Generator_loss: 2.2352
[INFO] 2021-05-03 16:03:50 > Step: 14900 Progress: 7.4% Elapsed: 3:43:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.92302 Generator_loss: 1.6368
[INFO] 2021-05-03 16:05:14 > Step: 15000 Progress: 7.5% Elapsed: 3:44:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.98611 Generator_loss: 2.47893
[INFO] 2021-05-03 16:06:39 > Step: 15100 Progress: 7.5% Elapsed: 3:45:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.01066 Generator_loss: 1.71215
[INFO] 2021-05-03 16:08:02 > Step: 15200 Progress: 7.6% Elapsed: 3:47:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.86607 Generator_loss: 2.00877
[INFO] 2021-05-03 16:09:27 > Step: 15300 Progress: 7.6% Elapsed: 3:48:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.70814 Generator_loss: 1.9291
[INFO] 2021-05-03 16:10:51 > Step: 15400 Progress: 7.7% Elapsed: 3:50:01 temperature: 0.5 ada_p: No Discriminator_loss: 3.07902 Generator_loss: 3.20056
[INFO] 2021-05-03 16:12:15 > Step: 15500 Progress: 7.8% Elapsed: 3:51:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.92283 Generator_loss: 1.30399
[INFO] 2021-05-03 16:13:39 > Step: 15600 Progress: 7.8% Elapsed: 3:52:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.95767 Generator_loss: 1.81203
[INFO] 2021-05-03 16:15:04 > Step: 15700 Progress: 7.8% Elapsed: 3:54:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.79798 Generator_loss: 2.54611
[INFO] 2021-05-03 16:16:28 > Step: 15800 Progress: 7.9% Elapsed: 3:55:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.94471 Generator_loss: 2.50694
[INFO] 2021-05-03 16:17:52 > Step: 15900 Progress: 8.0% Elapsed: 3:57:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.64507 Generator_loss: 2.01051
[INFO] 2021-05-03 16:19:17 > Step: 16000 Progress: 8.0% Elapsed: 3:58:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.83183 Generator_loss: 2.35413
[INFO] 2021-05-03 16:19:17 > Start Evaluation (16000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 16:19:17 > Calculating FID Score....
[INFO] 2021-05-03 16:19:50 > Calculating Inception Score....
[INFO] 2021-05-03 16:20:07 > Calculate F_beta Score....
[INFO] 2021-05-03 16:21:02 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 16:21:03 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 16:21:04 > Calculate Accuracies....
[INFO] 2021-05-03 16:21:11 > Calculate Accuracies....
[INFO] 2021-05-03 16:21:12 > F_8 score (Step: 16000, Using test images): 0.9802099973747768
[INFO] 2021-05-03 16:21:12 > F_1/8 score (Step: 16000, Using test images): 0.9859677656117455
[INFO] 2021-05-03 16:21:12 > FID score (Step: 16000, Using test moments): 14.42827813438123
[INFO] 2021-05-03 16:21:12 > Inception score (Step: 16000, 10000 generated images): 9.333569526672363
[INFO] 2021-05-03 16:21:12 > Best FID score (Step: 16000, Using test moments): 14.42827813438123
[INFO] 2021-05-03 16:21:15 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 16:22:38 > Step: 16100 Progress: 8.1% Elapsed: 4:01:49 temperature: 0.5 ada_p: No Discriminator_loss: 3.06331 Generator_loss: 2.12501
[INFO] 2021-05-03 16:24:01 > Step: 16200 Progress: 8.1% Elapsed: 4:03:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.90846 Generator_loss: 1.94356
[INFO] 2021-05-03 16:25:25 > Step: 16300 Progress: 8.2% Elapsed: 4:04:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.93752 Generator_loss: 1.72471
[INFO] 2021-05-03 16:26:49 > Step: 16400 Progress: 8.2% Elapsed: 4:05:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.79198 Generator_loss: 2.59123
[INFO] 2021-05-03 16:28:12 > Step: 16500 Progress: 8.2% Elapsed: 4:07:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.93566 Generator_loss: 2.47718
[INFO] 2021-05-03 16:29:36 > Step: 16600 Progress: 8.3% Elapsed: 4:08:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.66352 Generator_loss: 1.80267
[INFO] 2021-05-03 16:30:58 > Step: 16700 Progress: 8.3% Elapsed: 4:10:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.82804 Generator_loss: 2.14598
[INFO] 2021-05-03 16:32:19 > Step: 16800 Progress: 8.4% Elapsed: 4:11:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.81239 Generator_loss: 2.02043
[INFO] 2021-05-03 16:33:40 > Step: 16900 Progress: 8.5% Elapsed: 4:12:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.77039 Generator_loss: 2.2068
[INFO] 2021-05-03 16:35:03 > Step: 17000 Progress: 8.5% Elapsed: 4:14:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.85305 Generator_loss: 2.22429
[INFO] 2021-05-03 16:36:28 > Step: 17100 Progress: 8.6% Elapsed: 4:15:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.63551 Generator_loss: 2.03545
[INFO] 2021-05-03 16:37:51 > Step: 17200 Progress: 8.6% Elapsed: 4:17:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.96178 Generator_loss: 2.36175
[INFO] 2021-05-03 16:39:14 > Step: 17300 Progress: 8.6% Elapsed: 4:18:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.91043 Generator_loss: 2.38822
[INFO] 2021-05-03 16:40:39 > Step: 17400 Progress: 8.7% Elapsed: 4:19:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.95952 Generator_loss: 1.58327
[INFO] 2021-05-03 16:42:03 > Step: 17500 Progress: 8.8% Elapsed: 4:21:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.70578 Generator_loss: 2.82363
[INFO] 2021-05-03 16:43:27 > Step: 17600 Progress: 8.8% Elapsed: 4:22:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.75419 Generator_loss: 2.25945
[INFO] 2021-05-03 16:44:51 > Step: 17700 Progress: 8.8% Elapsed: 4:24:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.83821 Generator_loss: 2.3975
[INFO] 2021-05-03 16:46:15 > Step: 17800 Progress: 8.9% Elapsed: 4:25:26 temperature: 0.5 ada_p: No Discriminator_loss: 3.00122 Generator_loss: 1.6786
[INFO] 2021-05-03 16:47:39 > Step: 17900 Progress: 8.9% Elapsed: 4:26:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.90983 Generator_loss: 2.80597
[INFO] 2021-05-03 16:49:03 > Step: 18000 Progress: 9.0% Elapsed: 4:28:13 temperature: 0.5 ada_p: No Discriminator_loss: 3.06064 Generator_loss: 2.43834
[INFO] 2021-05-03 16:49:03 > Start Evaluation (18000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 16:49:03 > Calculating FID Score....
[INFO] 2021-05-03 16:49:38 > Calculating Inception Score....
[INFO] 2021-05-03 16:49:55 > Calculate F_beta Score....
[INFO] 2021-05-03 16:50:55 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 16:50:55 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 16:50:56 > Calculate Accuracies....
[INFO] 2021-05-03 16:51:03 > Calculate Accuracies....
[INFO] 2021-05-03 16:51:05 > F_8 score (Step: 18000, Using test images): 0.9809910714980851
[INFO] 2021-05-03 16:51:05 > F_1/8 score (Step: 18000, Using test images): 0.989987357484837
[INFO] 2021-05-03 16:51:05 > FID score (Step: 18000, Using test moments): 13.132234936925386
[INFO] 2021-05-03 16:51:05 > Inception score (Step: 18000, 10000 generated images): 9.201397895812988
[INFO] 2021-05-03 16:51:05 > Best FID score (Step: 18000, Using test moments): 13.132234936925386
[INFO] 2021-05-03 16:51:07 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 16:52:32 > Step: 18100 Progress: 9.0% Elapsed: 4:31:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.91521 Generator_loss: 2.17506
[INFO] 2021-05-03 16:53:56 > Step: 18200 Progress: 9.1% Elapsed: 4:33:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.78753 Generator_loss: 2.14301
[INFO] 2021-05-03 16:55:19 > Step: 18300 Progress: 9.2% Elapsed: 4:34:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.86517 Generator_loss: 2.73971
[INFO] 2021-05-03 16:56:43 > Step: 18400 Progress: 9.2% Elapsed: 4:35:53 temperature: 0.5 ada_p: No Discriminator_loss: 3.14379 Generator_loss: 2.71858
[INFO] 2021-05-03 16:58:07 > Step: 18500 Progress: 9.2% Elapsed: 4:37:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.80837 Generator_loss: 2.19285
[INFO] 2021-05-03 16:59:30 > Step: 18600 Progress: 9.3% Elapsed: 4:38:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.88706 Generator_loss: 2.0359
[INFO] 2021-05-03 17:00:54 > Step: 18700 Progress: 9.3% Elapsed: 4:40:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.91328 Generator_loss: 1.44976
[INFO] 2021-05-03 17:02:19 > Step: 18800 Progress: 9.4% Elapsed: 4:41:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.98578 Generator_loss: 2.95648
[INFO] 2021-05-03 17:03:43 > Step: 18900 Progress: 9.4% Elapsed: 4:42:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86434 Generator_loss: 1.96986
[INFO] 2021-05-03 17:05:07 > Step: 19000 Progress: 9.5% Elapsed: 4:44:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.87599 Generator_loss: 1.66303
[INFO] 2021-05-03 17:06:30 > Step: 19100 Progress: 9.6% Elapsed: 4:45:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.94451 Generator_loss: 1.56753
[INFO] 2021-05-03 17:07:51 > Step: 19200 Progress: 9.6% Elapsed: 4:47:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.86261 Generator_loss: 1.9085
[INFO] 2021-05-03 17:09:12 > Step: 19300 Progress: 9.7% Elapsed: 4:48:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.8017 Generator_loss: 1.80319
[INFO] 2021-05-03 17:10:34 > Step: 19400 Progress: 9.7% Elapsed: 4:49:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.91745 Generator_loss: 2.06833
[INFO] 2021-05-03 17:11:57 > Step: 19500 Progress: 9.8% Elapsed: 4:51:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.9164 Generator_loss: 2.1108
[INFO] 2021-05-03 17:13:21 > Step: 19600 Progress: 9.8% Elapsed: 4:52:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.93 Generator_loss: 2.4584
[INFO] 2021-05-03 17:14:45 > Step: 19700 Progress: 9.8% Elapsed: 4:53:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.84452 Generator_loss: 2.10929
[INFO] 2021-05-03 17:16:09 > Step: 19800 Progress: 9.9% Elapsed: 4:55:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.72519 Generator_loss: 2.1702
[INFO] 2021-05-03 17:17:33 > Step: 19900 Progress: 10.0% Elapsed: 4:56:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.92315 Generator_loss: 2.56442
[INFO] 2021-05-03 17:18:56 > Step: 20000 Progress: 10.0% Elapsed: 4:58:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.86574 Generator_loss: 2.20274
[INFO] 2021-05-03 17:18:56 > Start Evaluation (20000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 17:18:56 > Calculating FID Score....
[INFO] 2021-05-03 17:19:30 > Calculating Inception Score....
[INFO] 2021-05-03 17:19:47 > Calculate F_beta Score....
[INFO] 2021-05-03 17:20:44 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 17:20:44 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 17:20:45 > Calculate Accuracies....
[INFO] 2021-05-03 17:20:52 > Calculate Accuracies....
[INFO] 2021-05-03 17:20:54 > F_8 score (Step: 20000, Using test images): 0.986198351861099
[INFO] 2021-05-03 17:20:54 > F_1/8 score (Step: 20000, Using test images): 0.991659935301461
[INFO] 2021-05-03 17:20:54 > FID score (Step: 20000, Using test moments): 12.160652749608005
[INFO] 2021-05-03 17:20:54 > Inception score (Step: 20000, 10000 generated images): 9.348481178283691
[INFO] 2021-05-03 17:20:54 > Best FID score (Step: 20000, Using test moments): 12.160652749608005
[INFO] 2021-05-03 17:20:57 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 17:22:21 > Step: 20100 Progress: 10.1% Elapsed: 5:01:31 temperature: 0.5 ada_p: No Discriminator_loss: 3.08273 Generator_loss: 1.01977
[INFO] 2021-05-03 17:23:43 > Step: 20200 Progress: 10.1% Elapsed: 5:02:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.78021 Generator_loss: 1.70869
[INFO] 2021-05-03 17:25:07 > Step: 20300 Progress: 10.2% Elapsed: 5:04:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.73729 Generator_loss: 1.75543
[INFO] 2021-05-03 17:26:31 > Step: 20400 Progress: 10.2% Elapsed: 5:05:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.94652 Generator_loss: 2.10806
[INFO] 2021-05-03 17:27:54 > Step: 20500 Progress: 10.2% Elapsed: 5:07:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.91501 Generator_loss: 2.70018
[INFO] 2021-05-03 17:29:18 > Step: 20600 Progress: 10.3% Elapsed: 5:08:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.96266 Generator_loss: 2.34772
[INFO] 2021-05-03 17:30:41 > Step: 20700 Progress: 10.3% Elapsed: 5:09:52 temperature: 0.5 ada_p: No Discriminator_loss: 3.05053 Generator_loss: 1.94555
[INFO] 2021-05-03 17:32:05 > Step: 20800 Progress: 10.4% Elapsed: 5:11:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.95777 Generator_loss: 2.29398
[INFO] 2021-05-03 17:33:29 > Step: 20900 Progress: 10.4% Elapsed: 5:12:39 temperature: 0.5 ada_p: No Discriminator_loss: 2.69599 Generator_loss: 2.28345
[INFO] 2021-05-03 17:34:53 > Step: 21000 Progress: 10.5% Elapsed: 5:14:03 temperature: 0.5 ada_p: No Discriminator_loss: 2.98478 Generator_loss: 2.25694
[INFO] 2021-05-03 17:36:17 > Step: 21100 Progress: 10.5% Elapsed: 5:15:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.77127 Generator_loss: 1.87349
[INFO] 2021-05-03 17:37:40 > Step: 21200 Progress: 10.6% Elapsed: 5:16:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.85897 Generator_loss: 2.23533
[INFO] 2021-05-03 17:39:04 > Step: 21300 Progress: 10.7% Elapsed: 5:18:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.74885 Generator_loss: 2.21984
[INFO] 2021-05-03 17:40:28 > Step: 21400 Progress: 10.7% Elapsed: 5:19:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.81487 Generator_loss: 2.82348
[INFO] 2021-05-03 17:41:51 > Step: 21500 Progress: 10.8% Elapsed: 5:21:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.90063 Generator_loss: 2.16974
[INFO] 2021-05-03 17:43:13 > Step: 21600 Progress: 10.8% Elapsed: 5:22:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.96968 Generator_loss: 1.89549
[INFO] 2021-05-03 17:44:33 > Step: 21700 Progress: 10.8% Elapsed: 5:23:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.92693 Generator_loss: 1.19347
[INFO] 2021-05-03 17:45:55 > Step: 21800 Progress: 10.9% Elapsed: 5:25:05 temperature: 0.5 ada_p: No Discriminator_loss: 3.12024 Generator_loss: 2.44045
[INFO] 2021-05-03 17:47:19 > Step: 21900 Progress: 10.9% Elapsed: 5:26:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.02558 Generator_loss: 1.76897
[INFO] 2021-05-03 17:48:43 > Step: 22000 Progress: 11.0% Elapsed: 5:27:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.78906 Generator_loss: 1.20817
[INFO] 2021-05-03 17:48:43 > Start Evaluation (22000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 17:48:43 > Calculating FID Score....
[INFO] 2021-05-03 17:49:17 > Calculating Inception Score....
[INFO] 2021-05-03 17:49:34 > Calculate F_beta Score....
[INFO] 2021-05-03 17:50:29 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 17:50:29 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 17:50:30 > Calculate Accuracies....
[INFO] 2021-05-03 17:50:37 > Calculate Accuracies....
[INFO] 2021-05-03 17:50:38 > F_8 score (Step: 22000, Using test images): 0.9821686319736419
[INFO] 2021-05-03 17:50:38 > F_1/8 score (Step: 22000, Using test images): 0.9916888362819641
[INFO] 2021-05-03 17:50:38 > FID score (Step: 22000, Using test moments): 11.633306243771415
[INFO] 2021-05-03 17:50:38 > Inception score (Step: 22000, 10000 generated images): 9.446317672729492
[INFO] 2021-05-03 17:50:38 > Best FID score (Step: 22000, Using test moments): 11.633306243771415
[INFO] 2021-05-03 17:50:41 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 17:52:04 > Step: 22100 Progress: 11.1% Elapsed: 5:31:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.88058 Generator_loss: 2.28921
[INFO] 2021-05-03 17:53:27 > Step: 22200 Progress: 11.1% Elapsed: 5:32:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.9439 Generator_loss: 2.36941
[INFO] 2021-05-03 17:54:50 > Step: 22300 Progress: 11.2% Elapsed: 5:34:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.85356 Generator_loss: 2.33093
[INFO] 2021-05-03 17:56:14 > Step: 22400 Progress: 11.2% Elapsed: 5:35:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.93187 Generator_loss: 2.08009
[INFO] 2021-05-03 17:57:38 > Step: 22500 Progress: 11.2% Elapsed: 5:36:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.92279 Generator_loss: 2.43441
[INFO] 2021-05-03 17:59:01 > Step: 22600 Progress: 11.3% Elapsed: 5:38:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.96857 Generator_loss: 3.06533
[INFO] 2021-05-03 18:00:25 > Step: 22700 Progress: 11.3% Elapsed: 5:39:35 temperature: 0.5 ada_p: No Discriminator_loss: 3.02804 Generator_loss: 1.3041
[INFO] 2021-05-03 18:01:48 > Step: 22800 Progress: 11.4% Elapsed: 5:40:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.76722 Generator_loss: 2.14193
[INFO] 2021-05-03 18:03:12 > Step: 22900 Progress: 11.5% Elapsed: 5:42:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.98275 Generator_loss: 1.72081
[INFO] 2021-05-03 18:04:36 > Step: 23000 Progress: 11.5% Elapsed: 5:43:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.81408 Generator_loss: 2.42134
[INFO] 2021-05-03 18:06:00 > Step: 23100 Progress: 11.6% Elapsed: 5:45:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.94932 Generator_loss: 3.12576
[INFO] 2021-05-03 18:07:24 > Step: 23200 Progress: 11.6% Elapsed: 5:46:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.88559 Generator_loss: 1.90641
[INFO] 2021-05-03 18:08:48 > Step: 23300 Progress: 11.7% Elapsed: 5:47:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.88137 Generator_loss: 1.82503
[INFO] 2021-05-03 18:10:12 > Step: 23400 Progress: 11.7% Elapsed: 5:49:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.69014 Generator_loss: 2.27164
[INFO] 2021-05-03 18:11:37 > Step: 23500 Progress: 11.8% Elapsed: 5:50:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.72259 Generator_loss: 2.60087
[INFO] 2021-05-03 18:13:02 > Step: 23600 Progress: 11.8% Elapsed: 5:52:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.83551 Generator_loss: 2.28548
[INFO] 2021-05-03 18:14:26 > Step: 23700 Progress: 11.8% Elapsed: 5:53:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.79196 Generator_loss: 2.50446
[INFO] 2021-05-03 18:15:51 > Step: 23800 Progress: 11.9% Elapsed: 5:55:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.77202 Generator_loss: 2.25195
[INFO] 2021-05-03 18:17:15 > Step: 23900 Progress: 11.9% Elapsed: 5:56:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.79923 Generator_loss: 2.05244
[INFO] 2021-05-03 18:18:37 > Step: 24000 Progress: 12.0% Elapsed: 5:57:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.65417 Generator_loss: 2.14997
[INFO] 2021-05-03 18:18:37 > Start Evaluation (24000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 18:18:37 > Calculating FID Score....
[INFO] 2021-05-03 18:19:10 > Calculating Inception Score....
[INFO] 2021-05-03 18:19:27 > Calculate F_beta Score....
[INFO] 2021-05-03 18:20:21 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 18:20:22 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 18:20:22 > Calculate Accuracies....
[INFO] 2021-05-03 18:20:29 > Calculate Accuracies....
[INFO] 2021-05-03 18:20:30 > F_8 score (Step: 24000, Using test images): 0.9904574874769182
[INFO] 2021-05-03 18:20:30 > F_1/8 score (Step: 24000, Using test images): 0.9916457508380113
[INFO] 2021-05-03 18:20:30 > FID score (Step: 24000, Using test moments): 10.863622497441554
[INFO] 2021-05-03 18:20:30 > Inception score (Step: 24000, 10000 generated images): 9.685291290283203
[INFO] 2021-05-03 18:20:30 > Best FID score (Step: 24000, Using test moments): 10.863622497441554
[INFO] 2021-05-03 18:20:33 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 18:21:55 > Step: 24100 Progress: 12.0% Elapsed: 6:01:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.91186 Generator_loss: 1.81357
[INFO] 2021-05-03 18:23:19 > Step: 24200 Progress: 12.1% Elapsed: 6:02:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.92009 Generator_loss: 2.14411
[INFO] 2021-05-03 18:24:43 > Step: 24300 Progress: 12.2% Elapsed: 6:03:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.87373 Generator_loss: 2.31671
[INFO] 2021-05-03 18:26:07 > Step: 24400 Progress: 12.2% Elapsed: 6:05:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.81933 Generator_loss: 3.12888
[INFO] 2021-05-03 18:27:32 > Step: 24500 Progress: 12.2% Elapsed: 6:06:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.71554 Generator_loss: 1.78779
[INFO] 2021-05-03 18:28:56 > Step: 24600 Progress: 12.3% Elapsed: 6:08:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.78194 Generator_loss: 2.17054
[INFO] 2021-05-03 18:30:21 > Step: 24700 Progress: 12.3% Elapsed: 6:09:31 temperature: 0.5 ada_p: No Discriminator_loss: 3.0454 Generator_loss: 2.45117
[INFO] 2021-05-03 18:31:45 > Step: 24800 Progress: 12.4% Elapsed: 6:10:56 temperature: 0.5 ada_p: No Discriminator_loss: 2.95202 Generator_loss: 1.84387
[INFO] 2021-05-03 18:33:10 > Step: 24900 Progress: 12.4% Elapsed: 6:12:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.91516 Generator_loss: 1.73446
[INFO] 2021-05-03 18:34:34 > Step: 25000 Progress: 12.5% Elapsed: 6:13:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.79808 Generator_loss: 1.81391
[INFO] 2021-05-03 18:35:58 > Step: 25100 Progress: 12.6% Elapsed: 6:15:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.9223 Generator_loss: 2.04975
[INFO] 2021-05-03 18:37:23 > Step: 25200 Progress: 12.6% Elapsed: 6:16:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.9297 Generator_loss: 2.55766
[INFO] 2021-05-03 18:38:48 > Step: 25300 Progress: 12.7% Elapsed: 6:17:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.89627 Generator_loss: 2.21315
[INFO] 2021-05-03 18:40:12 > Step: 25400 Progress: 12.7% Elapsed: 6:19:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.87591 Generator_loss: 2.20639
[INFO] 2021-05-03 18:41:35 > Step: 25500 Progress: 12.8% Elapsed: 6:20:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.73475 Generator_loss: 2.28479
[INFO] 2021-05-03 18:43:00 > Step: 25600 Progress: 12.8% Elapsed: 6:22:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.97811 Generator_loss: 2.5555
[INFO] 2021-05-03 18:44:24 > Step: 25700 Progress: 12.8% Elapsed: 6:23:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.86302 Generator_loss: 2.13973
[INFO] 2021-05-03 18:45:49 > Step: 25800 Progress: 12.9% Elapsed: 6:24:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.80015 Generator_loss: 2.08334
[INFO] 2021-05-03 18:47:13 > Step: 25900 Progress: 13.0% Elapsed: 6:26:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.96182 Generator_loss: 1.91831
[INFO] 2021-05-03 18:48:37 > Step: 26000 Progress: 13.0% Elapsed: 6:27:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.78946 Generator_loss: 2.30801
[INFO] 2021-05-03 18:48:37 > Start Evaluation (26000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 18:48:37 > Calculating FID Score....
[INFO] 2021-05-03 18:49:11 > Calculating Inception Score....
[INFO] 2021-05-03 18:49:28 > Calculate F_beta Score....
[INFO] 2021-05-03 18:50:25 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 18:50:25 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 18:50:26 > Calculate Accuracies....
[INFO] 2021-05-03 18:50:33 > Calculate Accuracies....
[INFO] 2021-05-03 18:50:35 > F_8 score (Step: 26000, Using test images): 0.9916139294578508
[INFO] 2021-05-03 18:50:35 > F_1/8 score (Step: 26000, Using test images): 0.9929334533993371
[INFO] 2021-05-03 18:50:35 > FID score (Step: 26000, Using test moments): 10.572359951556109
[INFO] 2021-05-03 18:50:35 > Inception score (Step: 26000, 10000 generated images): 9.708745956420898
[INFO] 2021-05-03 18:50:35 > Best FID score (Step: 26000, Using test moments): 10.572359951556109
[INFO] 2021-05-03 18:50:38 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 18:52:01 > Step: 26100 Progress: 13.1% Elapsed: 6:31:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.78986 Generator_loss: 1.71074
[INFO] 2021-05-03 18:53:26 > Step: 26200 Progress: 13.1% Elapsed: 6:32:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.91445 Generator_loss: 2.50679
[INFO] 2021-05-03 18:54:48 > Step: 26300 Progress: 13.2% Elapsed: 6:33:59 temperature: 0.5 ada_p: No Discriminator_loss: 2.79266 Generator_loss: 2.49029
[INFO] 2021-05-03 18:56:10 > Step: 26400 Progress: 13.2% Elapsed: 6:35:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.81614 Generator_loss: 2.79087
[INFO] 2021-05-03 18:57:31 > Step: 26500 Progress: 13.2% Elapsed: 6:36:42 temperature: 0.5 ada_p: No Discriminator_loss: 3.00758 Generator_loss: 2.32306
[INFO] 2021-05-03 18:58:56 > Step: 26600 Progress: 13.3% Elapsed: 6:38:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.94704 Generator_loss: 1.97799
[INFO] 2021-05-03 19:00:19 > Step: 26700 Progress: 13.4% Elapsed: 6:39:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.8041 Generator_loss: 1.66685
[INFO] 2021-05-03 19:01:43 > Step: 26800 Progress: 13.4% Elapsed: 6:40:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.92692 Generator_loss: 1.30337
[INFO] 2021-05-03 19:03:07 > Step: 26900 Progress: 13.5% Elapsed: 6:42:18 temperature: 0.5 ada_p: No Discriminator_loss: 2.81568 Generator_loss: 2.25482
[INFO] 2021-05-03 19:04:32 > Step: 27000 Progress: 13.5% Elapsed: 6:43:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.93542 Generator_loss: 2.13042
[INFO] 2021-05-03 19:05:56 > Step: 27100 Progress: 13.6% Elapsed: 6:45:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.94637 Generator_loss: 2.01101
[INFO] 2021-05-03 19:07:20 > Step: 27200 Progress: 13.6% Elapsed: 6:46:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.71258 Generator_loss: 2.26608
[INFO] 2021-05-03 19:08:44 > Step: 27300 Progress: 13.7% Elapsed: 6:47:54 temperature: 0.5 ada_p: No Discriminator_loss: 2.86402 Generator_loss: 2.21297
[INFO] 2021-05-03 19:10:09 > Step: 27400 Progress: 13.7% Elapsed: 6:49:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.82619 Generator_loss: 2.54744
[INFO] 2021-05-03 19:11:33 > Step: 27500 Progress: 13.8% Elapsed: 6:50:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.83255 Generator_loss: 1.83177
[INFO] 2021-05-03 19:12:57 > Step: 27600 Progress: 13.8% Elapsed: 6:52:07 temperature: 0.5 ada_p: No Discriminator_loss: 2.78418 Generator_loss: 2.08215
[INFO] 2021-05-03 19:14:21 > Step: 27700 Progress: 13.9% Elapsed: 6:53:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.81938 Generator_loss: 1.60304
[INFO] 2021-05-03 19:15:45 > Step: 27800 Progress: 13.9% Elapsed: 6:54:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.97995 Generator_loss: 2.36285
[INFO] 2021-05-03 19:17:09 > Step: 27900 Progress: 14.0% Elapsed: 6:56:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.95655 Generator_loss: 2.27975
[INFO] 2021-05-03 19:18:33 > Step: 28000 Progress: 14.0% Elapsed: 6:57:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.95541 Generator_loss: 2.39599
[INFO] 2021-05-03 19:18:33 > Start Evaluation (28000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 19:18:33 > Calculating FID Score....
[INFO] 2021-05-03 19:19:07 > Calculating Inception Score....
[INFO] 2021-05-03 19:19:24 > Calculate F_beta Score....
[INFO] 2021-05-03 19:20:22 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 19:20:23 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 19:20:23 > Calculate Accuracies....
[INFO] 2021-05-03 19:20:30 > Calculate Accuracies....
[INFO] 2021-05-03 19:20:32 > F_8 score (Step: 28000, Using test images): 0.9842125773613669
[INFO] 2021-05-03 19:20:32 > F_1/8 score (Step: 28000, Using test images): 0.9923530748817346
[INFO] 2021-05-03 19:20:32 > FID score (Step: 28000, Using test moments): 10.349685794407264
[INFO] 2021-05-03 19:20:32 > Inception score (Step: 28000, 10000 generated images): 9.684467315673828
[INFO] 2021-05-03 19:20:32 > Best FID score (Step: 28000, Using test moments): 10.349685794407264
[INFO] 2021-05-03 19:20:35 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 19:21:59 > Step: 28100 Progress: 14.1% Elapsed: 7:01:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.86392 Generator_loss: 2.33439
[INFO] 2021-05-03 19:23:23 > Step: 28200 Progress: 14.1% Elapsed: 7:02:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.91809 Generator_loss: 1.95349
[INFO] 2021-05-03 19:24:48 > Step: 28300 Progress: 14.1% Elapsed: 7:03:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.64754 Generator_loss: 2.4535
[INFO] 2021-05-03 19:26:13 > Step: 28400 Progress: 14.2% Elapsed: 7:05:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.96578 Generator_loss: 1.9361
[INFO] 2021-05-03 19:27:37 > Step: 28500 Progress: 14.2% Elapsed: 7:06:47 temperature: 0.5 ada_p: No Discriminator_loss: 3.12287 Generator_loss: 2.56867
[INFO] 2021-05-03 19:29:02 > Step: 28600 Progress: 14.3% Elapsed: 7:08:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.96389 Generator_loss: 2.46219
[INFO] 2021-05-03 19:30:25 > Step: 28700 Progress: 14.3% Elapsed: 7:09:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.88747 Generator_loss: 1.90344
[INFO] 2021-05-03 19:31:47 > Step: 28800 Progress: 14.4% Elapsed: 7:10:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.76627 Generator_loss: 1.46631
[INFO] 2021-05-03 19:33:08 > Step: 28900 Progress: 14.4% Elapsed: 7:12:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.72763 Generator_loss: 2.19531
[INFO] 2021-05-03 19:34:31 > Step: 29000 Progress: 14.5% Elapsed: 7:13:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.78458 Generator_loss: 1.44703
[INFO] 2021-05-03 19:35:56 > Step: 29100 Progress: 14.5% Elapsed: 7:15:06 temperature: 0.5 ada_p: No Discriminator_loss: 3.05081 Generator_loss: 1.98258
[INFO] 2021-05-03 19:37:20 > Step: 29200 Progress: 14.6% Elapsed: 7:16:31 temperature: 0.5 ada_p: No Discriminator_loss: 2.89705 Generator_loss: 1.64365
[INFO] 2021-05-03 19:38:45 > Step: 29300 Progress: 14.6% Elapsed: 7:17:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.92964 Generator_loss: 1.94053
[INFO] 2021-05-03 19:40:09 > Step: 29400 Progress: 14.7% Elapsed: 7:19:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.88806 Generator_loss: 2.07883
[INFO] 2021-05-03 19:41:34 > Step: 29500 Progress: 14.8% Elapsed: 7:20:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.91091 Generator_loss: 2.24694
[INFO] 2021-05-03 19:42:58 > Step: 29600 Progress: 14.8% Elapsed: 7:22:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.88802 Generator_loss: 2.36786
[INFO] 2021-05-03 19:44:23 > Step: 29700 Progress: 14.8% Elapsed: 7:23:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.88707 Generator_loss: 2.09875
[INFO] 2021-05-03 19:45:48 > Step: 29800 Progress: 14.9% Elapsed: 7:24:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.95074 Generator_loss: 2.17572
[INFO] 2021-05-03 19:47:11 > Step: 29900 Progress: 14.9% Elapsed: 7:26:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.81445 Generator_loss: 2.3874
[INFO] 2021-05-03 19:48:35 > Step: 30000 Progress: 15.0% Elapsed: 7:27:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.79324 Generator_loss: 2.47527
[INFO] 2021-05-03 19:48:35 > Start Evaluation (30000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 19:48:35 > Calculating FID Score....
[INFO] 2021-05-03 19:49:09 > Calculating Inception Score....
[INFO] 2021-05-03 19:49:26 > Calculate F_beta Score....
[INFO] 2021-05-03 19:50:24 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 19:50:24 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 19:50:25 > Calculate Accuracies....
[INFO] 2021-05-03 19:50:32 > Calculate Accuracies....
[INFO] 2021-05-03 19:50:34 > F_8 score (Step: 30000, Using test images): 0.9882912889161881
[INFO] 2021-05-03 19:50:34 > F_1/8 score (Step: 30000, Using test images): 0.9917053138834907
[INFO] 2021-05-03 19:50:34 > FID score (Step: 30000, Using test moments): 10.023616372957349
[INFO] 2021-05-03 19:50:34 > Inception score (Step: 30000, 10000 generated images): 9.714433670043945
[INFO] 2021-05-03 19:50:34 > Best FID score (Step: 30000, Using test moments): 10.023616372957349
[INFO] 2021-05-03 19:50:37 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 19:52:00 > Step: 30100 Progress: 15.0% Elapsed: 7:31:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.73337 Generator_loss: 2.24348
[INFO] 2021-05-03 19:53:25 > Step: 30200 Progress: 15.1% Elapsed: 7:32:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.85512 Generator_loss: 2.10701
[INFO] 2021-05-03 19:54:49 > Step: 30300 Progress: 15.2% Elapsed: 7:34:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.78111 Generator_loss: 1.92851
[INFO] 2021-05-03 19:56:13 > Step: 30400 Progress: 15.2% Elapsed: 7:35:24 temperature: 0.5 ada_p: No Discriminator_loss: 2.80141 Generator_loss: 1.98466
[INFO] 2021-05-03 19:57:38 > Step: 30500 Progress: 15.2% Elapsed: 7:36:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.68712 Generator_loss: 2.12629
[INFO] 2021-05-03 19:59:02 > Step: 30600 Progress: 15.3% Elapsed: 7:38:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.85512 Generator_loss: 2.09176
[INFO] 2021-05-03 20:00:27 > Step: 30700 Progress: 15.3% Elapsed: 7:39:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.96027 Generator_loss: 2.49176
[INFO] 2021-05-03 20:01:51 > Step: 30800 Progress: 15.4% Elapsed: 7:41:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.81288 Generator_loss: 2.45988
[INFO] 2021-05-03 20:03:16 > Step: 30900 Progress: 15.4% Elapsed: 7:42:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.90311 Generator_loss: 2.4838
[INFO] 2021-05-03 20:04:40 > Step: 31000 Progress: 15.5% Elapsed: 7:43:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.85114 Generator_loss: 2.42688
[INFO] 2021-05-03 20:06:04 > Step: 31100 Progress: 15.6% Elapsed: 7:45:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.98425 Generator_loss: 1.8146
[INFO] 2021-05-03 20:07:26 > Step: 31200 Progress: 15.6% Elapsed: 7:46:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.87447 Generator_loss: 1.9381
[INFO] 2021-05-03 20:08:48 > Step: 31300 Progress: 15.7% Elapsed: 7:47:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.75773 Generator_loss: 2.52826
[INFO] 2021-05-03 20:10:10 > Step: 31400 Progress: 15.7% Elapsed: 7:49:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.8642 Generator_loss: 2.38638
[INFO] 2021-05-03 20:11:34 > Step: 31500 Progress: 15.8% Elapsed: 7:50:45 temperature: 0.5 ada_p: No Discriminator_loss: 2.84373 Generator_loss: 2.05227
[INFO] 2021-05-03 20:12:59 > Step: 31600 Progress: 15.8% Elapsed: 7:52:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.82828 Generator_loss: 1.93111
[INFO] 2021-05-03 20:14:23 > Step: 31700 Progress: 15.8% Elapsed: 7:53:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.91701 Generator_loss: 2.48834
[INFO] 2021-05-03 20:15:48 > Step: 31800 Progress: 15.9% Elapsed: 7:54:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.90114 Generator_loss: 2.72024
[INFO] 2021-05-03 20:17:12 > Step: 31900 Progress: 16.0% Elapsed: 7:56:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.9092 Generator_loss: 1.80154
[INFO] 2021-05-03 20:18:36 > Step: 32000 Progress: 16.0% Elapsed: 7:57:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.81662 Generator_loss: 1.7194
[INFO] 2021-05-03 20:18:36 > Start Evaluation (32000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 20:18:36 > Calculating FID Score....
[INFO] 2021-05-03 20:19:10 > Calculating Inception Score....
[INFO] 2021-05-03 20:19:27 > Calculate F_beta Score....
[INFO] 2021-05-03 20:20:22 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 20:20:23 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 20:20:24 > Calculate Accuracies....
[INFO] 2021-05-03 20:20:31 > Calculate Accuracies....
[INFO] 2021-05-03 20:20:33 > F_8 score (Step: 32000, Using test images): 0.9878684507704233
[INFO] 2021-05-03 20:20:33 > F_1/8 score (Step: 32000, Using test images): 0.9925267342415086
[INFO] 2021-05-03 20:20:33 > FID score (Step: 32000, Using test moments): 9.763878562059801
[INFO] 2021-05-03 20:20:33 > Inception score (Step: 32000, 10000 generated images): 9.894181251525879
[INFO] 2021-05-03 20:20:33 > Best FID score (Step: 32000, Using test moments): 9.763878562059801
[INFO] 2021-05-03 20:20:36 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 20:21:59 > Step: 32100 Progress: 16.1% Elapsed: 8:01:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.83468 Generator_loss: 2.10541
[INFO] 2021-05-03 20:23:23 > Step: 32200 Progress: 16.1% Elapsed: 8:02:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.81617 Generator_loss: 2.69393
[INFO] 2021-05-03 20:24:47 > Step: 32300 Progress: 16.2% Elapsed: 8:03:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.8554 Generator_loss: 2.06345
[INFO] 2021-05-03 20:26:11 > Step: 32400 Progress: 16.2% Elapsed: 8:05:22 temperature: 0.5 ada_p: No Discriminator_loss: 3.02504 Generator_loss: 1.73896
[INFO] 2021-05-03 20:27:35 > Step: 32500 Progress: 16.2% Elapsed: 8:06:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.90695 Generator_loss: 1.98595
[INFO] 2021-05-03 20:28:59 > Step: 32600 Progress: 16.3% Elapsed: 8:08:10 temperature: 0.5 ada_p: No Discriminator_loss: 2.8965 Generator_loss: 2.4709
[INFO] 2021-05-03 20:30:24 > Step: 32700 Progress: 16.4% Elapsed: 8:09:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.83079 Generator_loss: 2.15732
[INFO] 2021-05-03 20:31:49 > Step: 32800 Progress: 16.4% Elapsed: 8:10:59 temperature: 0.5 ada_p: No Discriminator_loss: 3.10748 Generator_loss: 2.66265
[INFO] 2021-05-03 20:33:13 > Step: 32900 Progress: 16.4% Elapsed: 8:12:23 temperature: 0.5 ada_p: No Discriminator_loss: 2.90336 Generator_loss: 2.35085
[INFO] 2021-05-03 20:34:38 > Step: 33000 Progress: 16.5% Elapsed: 8:13:48 temperature: 0.5 ada_p: No Discriminator_loss: 2.95569 Generator_loss: 2.25058
[INFO] 2021-05-03 20:36:03 > Step: 33100 Progress: 16.6% Elapsed: 8:15:13 temperature: 0.5 ada_p: No Discriminator_loss: 2.92796 Generator_loss: 2.55164
[INFO] 2021-05-03 20:37:27 > Step: 33200 Progress: 16.6% Elapsed: 8:16:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.85751 Generator_loss: 2.71113
[INFO] 2021-05-03 20:38:51 > Step: 33300 Progress: 16.7% Elapsed: 8:18:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.01432 Generator_loss: 2.37603
[INFO] 2021-05-03 20:40:16 > Step: 33400 Progress: 16.7% Elapsed: 8:19:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.93488 Generator_loss: 2.4014
[INFO] 2021-05-03 20:41:41 > Step: 33500 Progress: 16.8% Elapsed: 8:20:52 temperature: 0.5 ada_p: No Discriminator_loss: 2.93113 Generator_loss: 2.17454
[INFO] 2021-05-03 20:43:04 > Step: 33600 Progress: 16.8% Elapsed: 8:22:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.91723 Generator_loss: 1.38514
[INFO] 2021-05-03 20:44:26 > Step: 33700 Progress: 16.9% Elapsed: 8:23:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.88194 Generator_loss: 1.9881
[INFO] 2021-05-03 20:45:47 > Step: 33800 Progress: 16.9% Elapsed: 8:24:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.93849 Generator_loss: 2.39035
[INFO] 2021-05-03 20:47:11 > Step: 33900 Progress: 17.0% Elapsed: 8:26:21 temperature: 0.5 ada_p: No Discriminator_loss: 2.87421 Generator_loss: 2.41404
[INFO] 2021-05-03 20:48:35 > Step: 34000 Progress: 17.0% Elapsed: 8:27:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.75668 Generator_loss: 2.03876
[INFO] 2021-05-03 20:48:35 > Start Evaluation (34000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 20:48:35 > Calculating FID Score....
[INFO] 2021-05-03 20:49:09 > Calculating Inception Score....
[INFO] 2021-05-03 20:49:26 > Calculate F_beta Score....
[INFO] 2021-05-03 20:50:24 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 20:50:25 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 20:50:25 > Calculate Accuracies....
[INFO] 2021-05-03 20:50:33 > Calculate Accuracies....
[INFO] 2021-05-03 20:50:34 > F_8 score (Step: 34000, Using test images): 0.9870144616084846
[INFO] 2021-05-03 20:50:34 > F_1/8 score (Step: 34000, Using test images): 0.9922238386987342
[INFO] 2021-05-03 20:50:34 > FID score (Step: 34000, Using test moments): 9.722982368083592
[INFO] 2021-05-03 20:50:34 > Inception score (Step: 34000, 10000 generated images): 9.841021537780762
[INFO] 2021-05-03 20:50:34 > Best FID score (Step: 34000, Using test moments): 9.722982368083592
[INFO] 2021-05-03 20:50:37 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 20:52:02 > Step: 34100 Progress: 17.1% Elapsed: 8:31:12 temperature: 0.5 ada_p: No Discriminator_loss: 2.79142 Generator_loss: 2.0951
[INFO] 2021-05-03 20:53:26 > Step: 34200 Progress: 17.1% Elapsed: 8:32:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.83127 Generator_loss: 1.99733
[INFO] 2021-05-03 20:54:51 > Step: 34300 Progress: 17.2% Elapsed: 8:34:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.93042 Generator_loss: 1.49677
[INFO] 2021-05-03 20:56:16 > Step: 34400 Progress: 17.2% Elapsed: 8:35:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.99879 Generator_loss: 2.39036
[INFO] 2021-05-03 20:57:40 > Step: 34500 Progress: 17.2% Elapsed: 8:36:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.85826 Generator_loss: 1.74739
[INFO] 2021-05-03 20:59:04 > Step: 34600 Progress: 17.3% Elapsed: 8:38:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.8256 Generator_loss: 2.20922
[INFO] 2021-05-03 21:00:28 > Step: 34700 Progress: 17.3% Elapsed: 8:39:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.1505 Generator_loss: 2.34744
[INFO] 2021-05-03 21:01:54 > Step: 34800 Progress: 17.4% Elapsed: 8:41:04 temperature: 0.5 ada_p: No Discriminator_loss: 2.78997 Generator_loss: 1.6899
[INFO] 2021-05-03 21:03:18 > Step: 34900 Progress: 17.4% Elapsed: 8:42:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.00509 Generator_loss: 2.56297
[INFO] 2021-05-03 21:04:43 > Step: 35000 Progress: 17.5% Elapsed: 8:43:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.85742 Generator_loss: 1.68831
[INFO] 2021-05-03 21:06:07 > Step: 35100 Progress: 17.5% Elapsed: 8:45:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.87056 Generator_loss: 1.81065
[INFO] 2021-05-03 21:07:32 > Step: 35200 Progress: 17.6% Elapsed: 8:46:42 temperature: 0.5 ada_p: No Discriminator_loss: 2.89893 Generator_loss: 2.51709
[INFO] 2021-05-03 21:08:56 > Step: 35300 Progress: 17.6% Elapsed: 8:48:06 temperature: 0.5 ada_p: No Discriminator_loss: 2.85356 Generator_loss: 2.24478
[INFO] 2021-05-03 21:10:19 > Step: 35400 Progress: 17.7% Elapsed: 8:49:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.95741 Generator_loss: 2.61802
[INFO] 2021-05-03 21:11:44 > Step: 35500 Progress: 17.8% Elapsed: 8:50:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.96753 Generator_loss: 2.37461
[INFO] 2021-05-03 21:13:09 > Step: 35600 Progress: 17.8% Elapsed: 8:52:20 temperature: 0.5 ada_p: No Discriminator_loss: 2.84067 Generator_loss: 2.7465
[INFO] 2021-05-03 21:14:33 > Step: 35700 Progress: 17.8% Elapsed: 8:53:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.91476 Generator_loss: 1.65051
[INFO] 2021-05-03 21:15:57 > Step: 35800 Progress: 17.9% Elapsed: 8:55:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.82254 Generator_loss: 2.17893
[INFO] 2021-05-03 21:17:22 > Step: 35900 Progress: 17.9% Elapsed: 8:56:32 temperature: 0.5 ada_p: No Discriminator_loss: 2.85064 Generator_loss: 2.14902
[INFO] 2021-05-03 21:18:45 > Step: 36000 Progress: 18.0% Elapsed: 8:57:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.86667 Generator_loss: 1.63454
[INFO] 2021-05-03 21:18:45 > Start Evaluation (36000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 21:18:45 > Calculating FID Score....
[INFO] 2021-05-03 21:19:17 > Calculating Inception Score....
[INFO] 2021-05-03 21:19:34 > Calculate F_beta Score....
[INFO] 2021-05-03 21:20:30 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 21:20:31 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 21:20:31 > Calculate Accuracies....
[INFO] 2021-05-03 21:20:38 > Calculate Accuracies....
[INFO] 2021-05-03 21:20:40 > F_8 score (Step: 36000, Using test images): 0.9894216134692195
[INFO] 2021-05-03 21:20:40 > F_1/8 score (Step: 36000, Using test images): 0.9924603560325654
[INFO] 2021-05-03 21:20:40 > FID score (Step: 36000, Using test moments): 9.624351330446757
[INFO] 2021-05-03 21:20:40 > Inception score (Step: 36000, 10000 generated images): 9.895059585571289
[INFO] 2021-05-03 21:20:40 > Best FID score (Step: 36000, Using test moments): 9.624351330446757
[INFO] 2021-05-03 21:20:43 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 21:22:03 > Step: 36100 Progress: 18.1% Elapsed: 9:01:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.87391 Generator_loss: 1.48421
[INFO] 2021-05-03 21:23:27 > Step: 36200 Progress: 18.1% Elapsed: 9:02:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.84299 Generator_loss: 1.96363
[INFO] 2021-05-03 21:24:51 > Step: 36300 Progress: 18.1% Elapsed: 9:04:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.04832 Generator_loss: 1.86816
[INFO] 2021-05-03 21:26:16 > Step: 36400 Progress: 18.2% Elapsed: 9:05:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.78884 Generator_loss: 2.69897
[INFO] 2021-05-03 21:27:40 > Step: 36500 Progress: 18.2% Elapsed: 9:06:51 temperature: 0.5 ada_p: No Discriminator_loss: 2.76649 Generator_loss: 2.00058
[INFO] 2021-05-03 21:29:05 > Step: 36600 Progress: 18.3% Elapsed: 9:08:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.94559 Generator_loss: 2.0155
[INFO] 2021-05-03 21:30:30 > Step: 36700 Progress: 18.4% Elapsed: 9:09:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.8467 Generator_loss: 2.00642
[INFO] 2021-05-03 21:31:55 > Step: 36800 Progress: 18.4% Elapsed: 9:11:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.8039 Generator_loss: 2.64519
[INFO] 2021-05-03 21:33:20 > Step: 36900 Progress: 18.4% Elapsed: 9:12:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.82292 Generator_loss: 1.76398
[INFO] 2021-05-03 21:34:44 > Step: 37000 Progress: 18.5% Elapsed: 9:13:55 temperature: 0.5 ada_p: No Discriminator_loss: 3.38213 Generator_loss: 1.76179
[INFO] 2021-05-03 21:36:08 > Step: 37100 Progress: 18.6% Elapsed: 9:15:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.81098 Generator_loss: 2.38988
[INFO] 2021-05-03 21:37:32 > Step: 37200 Progress: 18.6% Elapsed: 9:16:43 temperature: 0.5 ada_p: No Discriminator_loss: 2.86081 Generator_loss: 2.39488
[INFO] 2021-05-03 21:38:58 > Step: 37300 Progress: 18.6% Elapsed: 9:18:08 temperature: 0.5 ada_p: No Discriminator_loss: 2.9244 Generator_loss: 2.30361
[INFO] 2021-05-03 21:40:22 > Step: 37400 Progress: 18.7% Elapsed: 9:19:32 temperature: 0.5 ada_p: No Discriminator_loss: 3.00347 Generator_loss: 1.94156
[INFO] 2021-05-03 21:41:46 > Step: 37500 Progress: 18.8% Elapsed: 9:20:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.7916 Generator_loss: 1.81528
[INFO] 2021-05-03 21:43:11 > Step: 37600 Progress: 18.8% Elapsed: 9:22:22 temperature: 0.5 ada_p: No Discriminator_loss: 3.04139 Generator_loss: 2.38288
[INFO] 2021-05-03 21:44:36 > Step: 37700 Progress: 18.9% Elapsed: 9:23:46 temperature: 0.5 ada_p: No Discriminator_loss: 2.95485 Generator_loss: 1.90962
[INFO] 2021-05-03 21:46:01 > Step: 37800 Progress: 18.9% Elapsed: 9:25:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.92922 Generator_loss: 1.76886
[INFO] 2021-05-03 21:47:25 > Step: 37900 Progress: 18.9% Elapsed: 9:26:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.96993 Generator_loss: 2.64926
[INFO] 2021-05-03 21:48:50 > Step: 38000 Progress: 19.0% Elapsed: 9:28:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.89697 Generator_loss: 2.0083
[INFO] 2021-05-03 21:48:50 > Start Evaluation (38000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 21:48:50 > Calculating FID Score....
[INFO] 2021-05-03 21:49:24 > Calculating Inception Score....
[INFO] 2021-05-03 21:49:41 > Calculate F_beta Score....
[INFO] 2021-05-03 21:50:39 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 21:50:39 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 21:50:40 > Calculate Accuracies....
[INFO] 2021-05-03 21:50:47 > Calculate Accuracies....
[INFO] 2021-05-03 21:50:49 > F_8 score (Step: 38000, Using test images): 0.9923798508083386
[INFO] 2021-05-03 21:50:49 > F_1/8 score (Step: 38000, Using test images): 0.994090056128077
[INFO] 2021-05-03 21:50:49 > FID score (Step: 38000, Using test moments): 9.278387437057631
[INFO] 2021-05-03 21:50:49 > Inception score (Step: 38000, 10000 generated images): 9.961664199829102
[INFO] 2021-05-03 21:50:49 > Best FID score (Step: 38000, Using test moments): 9.278387437057631
[INFO] 2021-05-03 21:50:52 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 21:52:16 > Step: 38100 Progress: 19.1% Elapsed: 9:31:26 temperature: 0.5 ada_p: No Discriminator_loss: 2.9826 Generator_loss: 1.98625
[INFO] 2021-05-03 21:53:39 > Step: 38200 Progress: 19.1% Elapsed: 9:32:50 temperature: 0.5 ada_p: No Discriminator_loss: 3.00195 Generator_loss: 2.48814
[INFO] 2021-05-03 21:55:04 > Step: 38300 Progress: 19.1% Elapsed: 9:34:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.80524 Generator_loss: 1.67533
[INFO] 2021-05-03 21:56:25 > Step: 38400 Progress: 19.2% Elapsed: 9:35:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.93578 Generator_loss: 2.11106
[INFO] 2021-05-03 21:57:47 > Step: 38500 Progress: 19.2% Elapsed: 9:36:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.89069 Generator_loss: 2.23752
[INFO] 2021-05-03 21:59:08 > Step: 38600 Progress: 19.3% Elapsed: 9:38:19 temperature: 0.5 ada_p: No Discriminator_loss: 2.90611 Generator_loss: 1.87768
[INFO] 2021-05-03 22:00:34 > Step: 38700 Progress: 19.4% Elapsed: 9:39:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.85174 Generator_loss: 2.69807
[INFO] 2021-05-03 22:01:58 > Step: 38800 Progress: 19.4% Elapsed: 9:41:08 temperature: 0.5 ada_p: No Discriminator_loss: 3.10308 Generator_loss: 2.88524
[INFO] 2021-05-03 22:03:23 > Step: 38900 Progress: 19.4% Elapsed: 9:42:34 temperature: 0.5 ada_p: No Discriminator_loss: 2.78846 Generator_loss: 1.83584
[INFO] 2021-05-03 22:04:47 > Step: 39000 Progress: 19.5% Elapsed: 9:43:57 temperature: 0.5 ada_p: No Discriminator_loss: 2.78664 Generator_loss: 2.3851
[INFO] 2021-05-03 22:06:12 > Step: 39100 Progress: 19.6% Elapsed: 9:45:22 temperature: 0.5 ada_p: No Discriminator_loss: 2.79411 Generator_loss: 2.22834
[INFO] 2021-05-03 22:07:37 > Step: 39200 Progress: 19.6% Elapsed: 9:46:47 temperature: 0.5 ada_p: No Discriminator_loss: 2.90001 Generator_loss: 1.82328
[INFO] 2021-05-03 22:09:01 > Step: 39300 Progress: 19.7% Elapsed: 9:48:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.74249 Generator_loss: 2.05177
[INFO] 2021-05-03 22:10:26 > Step: 39400 Progress: 19.7% Elapsed: 9:49:36 temperature: 0.5 ada_p: No Discriminator_loss: 2.84264 Generator_loss: 1.97097
[INFO] 2021-05-03 22:11:50 > Step: 39500 Progress: 19.8% Elapsed: 9:51:01 temperature: 0.5 ada_p: No Discriminator_loss: 2.90803 Generator_loss: 1.92615
[INFO] 2021-05-03 22:13:15 > Step: 39600 Progress: 19.8% Elapsed: 9:52:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.93523 Generator_loss: 1.6768
[INFO] 2021-05-03 22:14:39 > Step: 39700 Progress: 19.9% Elapsed: 9:53:50 temperature: 0.5 ada_p: No Discriminator_loss: 2.92051 Generator_loss: 1.6971
[INFO] 2021-05-03 22:16:04 > Step: 39800 Progress: 19.9% Elapsed: 9:55:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.83886 Generator_loss: 2.19424
[INFO] 2021-05-03 22:17:28 > Step: 39900 Progress: 20.0% Elapsed: 9:56:38 temperature: 0.5 ada_p: No Discriminator_loss: 3.01624 Generator_loss: 2.75228
[INFO] 2021-05-03 22:18:52 > Step: 40000 Progress: 20.0% Elapsed: 9:58:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.87863 Generator_loss: 1.81994
[INFO] 2021-05-03 22:18:52 > Start Evaluation (40000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 22:18:52 > Calculating FID Score....
[INFO] 2021-05-03 22:19:27 > Calculating Inception Score....
[INFO] 2021-05-03 22:19:44 > Calculate F_beta Score....
[INFO] 2021-05-03 22:20:41 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 22:20:42 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 22:20:42 > Calculate Accuracies....
[INFO] 2021-05-03 22:20:49 > Calculate Accuracies....
[INFO] 2021-05-03 22:20:51 > F_8 score (Step: 40000, Using test images): 0.9889905227197595
[INFO] 2021-05-03 22:20:51 > F_1/8 score (Step: 40000, Using test images): 0.9930244392763179
[INFO] 2021-05-03 22:20:51 > FID score (Step: 40000, Using test moments): 9.024204081382777
[INFO] 2021-05-03 22:20:51 > Inception score (Step: 40000, 10000 generated images): 9.945209503173828
[INFO] 2021-05-03 22:20:51 > Best FID score (Step: 40000, Using test moments): 9.024204081382777
[INFO] 2021-05-03 22:20:54 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 22:22:18 > Step: 40100 Progress: 20.1% Elapsed: 10:01:29 temperature: 0.5 ada_p: No Discriminator_loss: 2.81784 Generator_loss: 2.05407
[INFO] 2021-05-03 22:23:42 > Step: 40200 Progress: 20.1% Elapsed: 10:02:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86971 Generator_loss: 2.15782
[INFO] 2021-05-03 22:25:06 > Step: 40300 Progress: 20.2% Elapsed: 10:04:16 temperature: 0.5 ada_p: No Discriminator_loss: 2.82852 Generator_loss: 2.21811
[INFO] 2021-05-03 22:26:30 > Step: 40400 Progress: 20.2% Elapsed: 10:05:40 temperature: 0.5 ada_p: No Discriminator_loss: 2.73476 Generator_loss: 1.81132
[INFO] 2021-05-03 22:27:54 > Step: 40500 Progress: 20.2% Elapsed: 10:07:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.81361 Generator_loss: 1.66298
[INFO] 2021-05-03 22:29:18 > Step: 40600 Progress: 20.3% Elapsed: 10:08:29 temperature: 0.5 ada_p: No Discriminator_loss: 3.15331 Generator_loss: 2.65832
[INFO] 2021-05-03 22:30:43 > Step: 40700 Progress: 20.3% Elapsed: 10:09:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.87088 Generator_loss: 1.96192
[INFO] 2021-05-03 22:32:05 > Step: 40800 Progress: 20.4% Elapsed: 10:11:15 temperature: 0.5 ada_p: No Discriminator_loss: 2.87763 Generator_loss: 2.33645
[INFO] 2021-05-03 22:33:27 > Step: 40900 Progress: 20.4% Elapsed: 10:12:37 temperature: 0.5 ada_p: No Discriminator_loss: 2.76598 Generator_loss: 2.23137
[INFO] 2021-05-03 22:34:48 > Step: 41000 Progress: 20.5% Elapsed: 10:13:58 temperature: 0.5 ada_p: No Discriminator_loss: 2.95942 Generator_loss: 1.76328
[INFO] 2021-05-03 22:36:13 > Step: 41100 Progress: 20.5% Elapsed: 10:15:23 temperature: 0.5 ada_p: No Discriminator_loss: 3.07284 Generator_loss: 2.45898
[INFO] 2021-05-03 22:37:37 > Step: 41200 Progress: 20.6% Elapsed: 10:16:48 temperature: 0.5 ada_p: No Discriminator_loss: 3.06588 Generator_loss: 2.37219
[INFO] 2021-05-03 22:39:01 > Step: 41300 Progress: 20.6% Elapsed: 10:18:11 temperature: 0.5 ada_p: No Discriminator_loss: 2.82913 Generator_loss: 1.51881
[INFO] 2021-05-03 22:40:25 > Step: 41400 Progress: 20.7% Elapsed: 10:19:35 temperature: 0.5 ada_p: No Discriminator_loss: 2.925 Generator_loss: 2.33367
[INFO] 2021-05-03 22:41:50 > Step: 41500 Progress: 20.8% Elapsed: 10:21:00 temperature: 0.5 ada_p: No Discriminator_loss: 2.93133 Generator_loss: 2.16275
[INFO] 2021-05-03 22:43:15 > Step: 41600 Progress: 20.8% Elapsed: 10:22:25 temperature: 0.5 ada_p: No Discriminator_loss: 2.94719 Generator_loss: 2.14572
[INFO] 2021-05-03 22:44:39 > Step: 41700 Progress: 20.8% Elapsed: 10:23:49 temperature: 0.5 ada_p: No Discriminator_loss: 2.78178 Generator_loss: 2.00789
[INFO] 2021-05-03 22:46:03 > Step: 41800 Progress: 20.9% Elapsed: 10:25:14 temperature: 0.5 ada_p: No Discriminator_loss: 2.87951 Generator_loss: 2.04686
[INFO] 2021-05-03 22:47:28 > Step: 41900 Progress: 20.9% Elapsed: 10:26:38 temperature: 0.5 ada_p: No Discriminator_loss: 2.83817 Generator_loss: 1.97818
[INFO] 2021-05-03 22:48:52 > Step: 42000 Progress: 21.0% Elapsed: 10:28:02 temperature: 0.5 ada_p: No Discriminator_loss: 2.96279 Generator_loss: 2.30586
[INFO] 2021-05-03 22:48:52 > Start Evaluation (42000 Step): CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 22:48:52 > Calculating FID Score....
[INFO] 2021-05-03 22:49:26 > Calculating Inception Score....
[INFO] 2021-05-03 22:49:44 > Calculate F_beta Score....
[INFO] 2021-05-03 22:50:42 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/pr_curve.png
[INFO] 2021-05-03 22:50:43 > Save image to ./figures/CCMGAN-train-2021_05_03_12_20_37/sim_heatmap.png
[INFO] 2021-05-03 22:50:43 > Calculate Accuracies....
[INFO] 2021-05-03 22:50:50 > Calculate Accuracies....
[INFO] 2021-05-03 22:50:52 > F_8 score (Step: 42000, Using test images): 0.9892165399472478
[INFO] 2021-05-03 22:50:52 > F_1/8 score (Step: 42000, Using test images): 0.99469716729706
[INFO] 2021-05-03 22:50:52 > FID score (Step: 42000, Using test moments): 8.782976816184942
[INFO] 2021-05-03 22:50:52 > Inception score (Step: 42000, 10000 generated images): 9.845480918884277
[INFO] 2021-05-03 22:50:52 > Best FID score (Step: 42000, Using test moments): 8.782976816184942
[INFO] 2021-05-03 22:50:55 > Save model to checkpoints/CCMGAN-train-2021_05_03_12_20_37
[INFO] 2021-05-03 22:52:18 > Step: 42100 Progress: 21.1% Elapsed: 10:31:28 temperature: 0.5 ada_p: No Discriminator_loss: 2.91719 Generator_loss: 1.91519
[INFO] 2021-05-03 22:53:42 > Step: 42200 Progress: 21.1% Elapsed: 10:32:53 temperature: 0.5 ada_p: No Discriminator_loss: 2.86668 Generator_loss: 2.30862
[INFO] 2021-05-03 22:55:06 > Step: 42300 Progress: 21.1% Elapsed: 10:34:17 temperature: 0.5 ada_p: No Discriminator_loss: 2.86692 Generator_loss: 2.2106
[INFO] 2021-05-03 22:56:30 > Step: 42400 Progress: 21.2% Elapsed: 10:35:41 temperature: 0.5 ada_p: No Discriminator_loss: 2.90941 Generator_loss: 2.01555
[INFO] 2021-05-03 22:57:55 > Step: 42500 Progress: 21.2% Elapsed: 10:37:05 temperature: 0.5 ada_p: No Discriminator_loss: 2.83375 Generator_loss: 1.75463
[INFO] 2021-05-03 22:59:20 > Step: 42600 Progress: 21.3% Elapsed: 10:38:30 temperature: 0.5 ada_p: No Discriminator_loss: 2.84386 Generator_loss: 2.58065
[INFO] 2021-05-03 23:00:45 > Step: 42700 Progress: 21.3% Elapsed: 10:39:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.98846 Generator_loss: 2.38976
[INFO] 2021-05-03 23:02:09 > Step: 42800 Progress: 21.4% Elapsed: 10:41:20 temperature: 0.5 ada_p: No Discriminator_loss: 3.02438 Generator_loss: 1.98397
[INFO] 2021-05-03 23:03:34 > Step: 42900 Progress: 21.4% Elapsed: 10:42:44 temperature: 0.5 ada_p: No Discriminator_loss: 2.88736 Generator_loss: 1.96758
[INFO] 2021-05-03 23:04:58 > Step: 43000 Progress: 21.5% Elapsed: 10:44:09 temperature: 0.5 ada_p: No Discriminator_loss: 2.72394 Generator_loss: 2.03359
[INFO] 2021-05-03 23:06:23 > Step: 43100 Progress: 21.6% Elapsed: 10:45:33 temperature: 0.5 ada_p: No Discriminator_loss: 2.95704 Generator_loss: 2.24285
[INFO] 2021-05-03 23:07:45 > Step: 43200 Progress: 21.6% Elapsed: 10:46:55 temperature: 0.5 ada_p: No Discriminator_loss: 2.93874 Generator_loss: 1.61391
[INFO] 2021-05-03 23:09:07 > Step: 43300 Progress: 21.6% Elapsed: 10:48:18 temperature: 0.5 ada_p: No Discriminator_loss: 3.027 Generator_loss: 2.32209
[INFO] 2021-05-03 23:10:29 > Step: 43400 Progress: 21.7% Elapsed: 10:49:39 temperature: 0.5 ada_p: No Discriminator_loss: 3.01132 Generator_loss: 3.03146
[INFO] 2021-05-03 23:11:52 > Step: 43500 Progress: 21.8% Elapsed: 10:51:02 temperature: 0.5 ada_p: No Discriminator_loss: 3.00437 Generator_loss: 1.84717
[INFO] 2021-05-03 23:13:17 > Step: 43600 Progress: 21.8% Elapsed: 10:52:27 temperature: 0.5 ada_p: No Discriminator_loss: 2.97621 Generator_loss: 1.9219