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CCMGAN-train-2021_05_03_15_36_29.log
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CCMGAN-train-2021_05_03_15_36_29.log
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[INFO] 2021-05-03 15:36:29 > Run name : CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 15:36:29 > {
"config_path": "src/configs/TINY_ILSVRC2012/CCMGAN.json",
"checkpoint_folder": null,
"load_current": false,
"log_output_path": null,
"distributed_data_parallel": false,
"nodes": 1,
"nr": 0,
"seed": 3246,
"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": "valid",
"eval_backbone": "Inception_V3"
}
[INFO] 2021-05-03 15:36:29 > {
"data_processing": {
"dataset_name": "tiny_imagenet",
"data_path": "./data/TINY_ILSVRC2012",
"img_size": 64,
"num_classes": 200,
"batch_size4prcsing": 256,
"chunk_size": 500,
"compression": false
},
"train": {
"model": {
"architecture": "big_resnet",
"conditional_strategy": "CCMGAN",
"pos_collected_numerator": false,
"hypersphere_dim": 768,
"bottleneck_dim": 192,
"nonlinear_embed": true,
"normalize_embed": true,
"g_spectral_norm": true,
"d_spectral_norm": true,
"activation_fn": "ReLU",
"attention": true,
"attention_after_nth_gen_block": 3,
"attention_after_nth_dis_block": 1,
"z_dim": 100,
"shared_dim": 128,
"g_conv_dim": 80,
"d_conv_dim": 80,
"G_depth": "N/A",
"D_depth": "N/A"
},
"optimization": {
"optimizer": "Adam",
"batch_size": 1024,
"accumulation_steps": 1,
"d_lr": 0.0004,
"g_lr": 0.0001,
"momentum": "N/A",
"nesterov": "N/A",
"alpha": "N/A",
"beta1": 0.0,
"beta2": 0.999,
"g_steps_per_iter": 1,
"d_steps_per_iter": 1,
"total_step": 100000
},
"loss_function": {
"adv_loss": "hinge",
"contrastive_lambda": 0.75,
"margin": 1.0,
"tempering_type": "constant",
"tempering_step": "N/A",
"start_temperature": 0.75,
"end_temperature": 0.75,
"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": 20000
}
}
}
[INFO] 2021-05-03 15:36:29 > Load train datasets...
[INFO] 2021-05-03 15:36:40 > Train dataset size : 100000
[INFO] 2021-05-03 15:36:40 > Load valid datasets...
[INFO] 2021-05-03 15:36:41 > Eval dataset size : 10000
[INFO] 2021-05-03 15:36:41 > Build model...
[INFO] 2021-05-03 15:36:41 > Modules are located on models.big_resnet.
[INFO] 2021-05-03 15:37:05 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-05-03 15:37:05 > Number of parameters: 17335204
[INFO] 2021-05-03 15:37:05 > Generator(
(linear0): Linear(in_features=20, out_features=20480, bias=True)
(shared): Embedding(200, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1280, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1280, bias=False)
(bias): Linear(in_features=148, out_features=1280, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1280, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1280, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(80, 160, 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)
)
)
(4): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=80, bias=False)
(bias): Linear(in_features=148, out_features=80, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(80, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-05-03 15:37:05 > Number of parameters: 31974002
[INFO] 2021-05-03 15:37:05 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, 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(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(80, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(40, 80, 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(80, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(80, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, 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)
(conv2d0): Conv2d(160, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, 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)
(conv2d0): Conv2d(320, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 1280, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1280, 1280, 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=1280, out_features=1, bias=True)
(linear2): Linear(in_features=1280, out_features=768, bias=True)
(convert_head0): Linear(in_features=768, out_features=192, bias=True)
(convert_head1): Linear(in_features=192, out_features=768, bias=True)
(embedding): Embedding(200, 768)
)
[INFO] 2021-05-03 15:37:11 > Start training....
[INFO] 2021-05-03 15:38:41 > Step: 100 Progress: 0.1% Elapsed: 0:01:29 temperature: 0.75 ada_p: No Discriminator_loss: 7.30072 Generator_loss: 5.34456
[INFO] 2021-05-03 15:39:54 > Step: 200 Progress: 0.1% Elapsed: 0:02:43 temperature: 0.75 ada_p: No Discriminator_loss: 7.08403 Generator_loss: 4.93298
[INFO] 2021-05-03 15:41:06 > Step: 300 Progress: 0.1% Elapsed: 0:03:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.84898 Generator_loss: 6.17122
[INFO] 2021-05-03 15:42:18 > Step: 400 Progress: 0.2% Elapsed: 0:05:06 temperature: 0.75 ada_p: No Discriminator_loss: 7.07053 Generator_loss: 5.48375
[INFO] 2021-05-03 15:43:29 > Step: 500 Progress: 0.2% Elapsed: 0:06:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.94263 Generator_loss: 4.89858
[INFO] 2021-05-03 15:44:41 > Step: 600 Progress: 0.3% Elapsed: 0:07:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.90662 Generator_loss: 5.37211
[INFO] 2021-05-03 15:45:53 > Step: 700 Progress: 0.4% Elapsed: 0:08:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.96815 Generator_loss: 4.50286
[INFO] 2021-05-03 15:47:04 > Step: 800 Progress: 0.4% Elapsed: 0:09:52 temperature: 0.75 ada_p: No Discriminator_loss: 6.98956 Generator_loss: 4.6656
[INFO] 2021-05-03 15:48:16 > Step: 900 Progress: 0.4% Elapsed: 0:11:04 temperature: 0.75 ada_p: No Discriminator_loss: 6.94471 Generator_loss: 5.20397
[INFO] 2021-05-03 15:49:27 > Step: 1000 Progress: 0.5% Elapsed: 0:12:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.95453 Generator_loss: 4.52363
[INFO] 2021-05-03 15:50:39 > Step: 1100 Progress: 0.5% Elapsed: 0:13:27 temperature: 0.75 ada_p: No Discriminator_loss: 6.91963 Generator_loss: 4.29417
[INFO] 2021-05-03 15:51:51 > Step: 1200 Progress: 0.6% Elapsed: 0:14:39 temperature: 0.75 ada_p: No Discriminator_loss: 6.92197 Generator_loss: 6.00213
[INFO] 2021-05-03 15:53:02 > Step: 1300 Progress: 0.7% Elapsed: 0:15:50 temperature: 0.75 ada_p: No Discriminator_loss: 6.89917 Generator_loss: 5.16809
[INFO] 2021-05-03 15:54:14 > Step: 1400 Progress: 0.7% Elapsed: 0:17:02 temperature: 0.75 ada_p: No Discriminator_loss: 7.00309 Generator_loss: 4.22255
[INFO] 2021-05-03 15:55:25 > Step: 1500 Progress: 0.8% Elapsed: 0:18:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.8526 Generator_loss: 5.57495
[INFO] 2021-05-03 15:56:37 > Step: 1600 Progress: 0.8% Elapsed: 0:19:25 temperature: 0.75 ada_p: No Discriminator_loss: 6.98163 Generator_loss: 4.64274
[INFO] 2021-05-03 15:57:49 > Step: 1700 Progress: 0.9% Elapsed: 0:20:37 temperature: 0.75 ada_p: No Discriminator_loss: 6.84958 Generator_loss: 4.39597
[INFO] 2021-05-03 15:59:01 > Step: 1800 Progress: 0.9% Elapsed: 0:21:49 temperature: 0.75 ada_p: No Discriminator_loss: 6.83334 Generator_loss: 4.36779
[INFO] 2021-05-03 16:00:13 > Step: 1900 Progress: 0.9% Elapsed: 0:23:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.85246 Generator_loss: 4.28626
[INFO] 2021-05-03 16:01:25 > Step: 2000 Progress: 1.0% Elapsed: 0:24:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.83507 Generator_loss: 4.91879
[INFO] 2021-05-03 16:01:25 > Start Evaluation (2000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:01:25 > Calculating FID Score....
[INFO] 2021-05-03 16:01:40 > Calculating Inception Score....
[INFO] 2021-05-03 16:01:43 > Calculate F_beta Score....
[INFO] 2021-05-03 16:02:03 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 16:02:03 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 16:02:04 > Calculate Accuracies....
[INFO] 2021-05-03 16:02:06 > Calculate Accuracies....
[INFO] 2021-05-03 16:02:08 > F_8 score (Step: 2000, Using valid images): 0.24912745415626353
[INFO] 2021-05-03 16:02:08 > F_1/8 score (Step: 2000, Using valid images): 0.5345969023061041
[INFO] 2021-05-03 16:02:08 > FID score (Step: 2000, Using valid moments): 102.50217569630547
[INFO] 2021-05-03 16:02:08 > Inception score (Step: 2000, 10000 generated images): 4.645226001739502
[INFO] 2021-05-03 16:02:08 > Best FID score (Step: 2000, Using valid moments): 102.50217569630547
[INFO] 2021-05-03 16:02:23 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:03:35 > Step: 2100 Progress: 1.1% Elapsed: 0:26:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.92744 Generator_loss: 4.49535
[INFO] 2021-05-03 16:04:47 > Step: 2200 Progress: 1.1% Elapsed: 0:27:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.81848 Generator_loss: 4.20856
[INFO] 2021-05-03 16:05:59 > Step: 2300 Progress: 1.1% Elapsed: 0:28:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.95857 Generator_loss: 5.10421
[INFO] 2021-05-03 16:07:10 > Step: 2400 Progress: 1.2% Elapsed: 0:29:59 temperature: 0.75 ada_p: No Discriminator_loss: 6.95465 Generator_loss: 4.56458
[INFO] 2021-05-03 16:08:22 > Step: 2500 Progress: 1.2% Elapsed: 0:31:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.87053 Generator_loss: 5.61715
[INFO] 2021-05-03 16:09:34 > Step: 2600 Progress: 1.3% Elapsed: 0:32:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.93985 Generator_loss: 4.44374
[INFO] 2021-05-03 16:10:46 > Step: 2700 Progress: 1.4% Elapsed: 0:33:34 temperature: 0.75 ada_p: No Discriminator_loss: 6.76374 Generator_loss: 5.29389
[INFO] 2021-05-03 16:11:58 > Step: 2800 Progress: 1.4% Elapsed: 0:34:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.96484 Generator_loss: 4.49598
[INFO] 2021-05-03 16:13:10 > Step: 2900 Progress: 1.5% Elapsed: 0:35:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.88496 Generator_loss: 5.41952
[INFO] 2021-05-03 16:14:21 > Step: 3000 Progress: 1.5% Elapsed: 0:37:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.80009 Generator_loss: 5.40362
[INFO] 2021-05-03 16:15:33 > Step: 3100 Progress: 1.6% Elapsed: 0:38:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.81655 Generator_loss: 5.42211
[INFO] 2021-05-03 16:16:44 > Step: 3200 Progress: 1.6% Elapsed: 0:39:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.82934 Generator_loss: 5.30955
[INFO] 2021-05-03 16:17:57 > Step: 3300 Progress: 1.7% Elapsed: 0:40:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.87455 Generator_loss: 5.58635
[INFO] 2021-05-03 16:19:09 > Step: 3400 Progress: 1.7% Elapsed: 0:41:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.88101 Generator_loss: 5.18856
[INFO] 2021-05-03 16:20:20 > Step: 3500 Progress: 1.8% Elapsed: 0:43:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.79422 Generator_loss: 4.07704
[INFO] 2021-05-03 16:21:32 > Step: 3600 Progress: 1.8% Elapsed: 0:44:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.81132 Generator_loss: 5.35252
[INFO] 2021-05-03 16:22:44 > Step: 3700 Progress: 1.8% Elapsed: 0:45:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.83591 Generator_loss: 5.64906
[INFO] 2021-05-03 16:23:56 > Step: 3800 Progress: 1.9% Elapsed: 0:46:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.89302 Generator_loss: 4.17207
[INFO] 2021-05-03 16:25:08 > Step: 3900 Progress: 1.9% Elapsed: 0:47:56 temperature: 0.75 ada_p: No Discriminator_loss: 7.06606 Generator_loss: 4.68795
[INFO] 2021-05-03 16:26:20 > Step: 4000 Progress: 2.0% Elapsed: 0:49:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.85064 Generator_loss: 4.44838
[INFO] 2021-05-03 16:26:20 > Start Evaluation (4000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:26:20 > Calculating FID Score....
[INFO] 2021-05-03 16:26:33 > Calculating Inception Score....
[INFO] 2021-05-03 16:26:36 > Calculate F_beta Score....
[INFO] 2021-05-03 16:26:51 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 16:26:52 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 16:26:52 > Calculate Accuracies....
[INFO] 2021-05-03 16:26:54 > Calculate Accuracies....
[INFO] 2021-05-03 16:26:56 > F_8 score (Step: 4000, Using valid images): 0.5183729732711784
[INFO] 2021-05-03 16:26:56 > F_1/8 score (Step: 4000, Using valid images): 0.7787381900862886
[INFO] 2021-05-03 16:26:56 > FID score (Step: 4000, Using valid moments): 74.80249893185709
[INFO] 2021-05-03 16:26:56 > Inception score (Step: 4000, 10000 generated images): 6.518217086791992
[INFO] 2021-05-03 16:26:56 > Best FID score (Step: 4000, Using valid moments): 74.80249893185709
[INFO] 2021-05-03 16:27:12 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:28:23 > Step: 4100 Progress: 2.1% Elapsed: 0:51:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.83155 Generator_loss: 4.92925
[INFO] 2021-05-03 16:29:36 > Step: 4200 Progress: 2.1% Elapsed: 0:52:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.79923 Generator_loss: 5.49444
[INFO] 2021-05-03 16:30:48 > Step: 4300 Progress: 2.1% Elapsed: 0:53:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.74202 Generator_loss: 5.48939
[INFO] 2021-05-03 16:32:00 > Step: 4400 Progress: 2.2% Elapsed: 0:54:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.77552 Generator_loss: 4.24229
[INFO] 2021-05-03 16:33:12 > Step: 4500 Progress: 2.2% Elapsed: 0:56:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.87709 Generator_loss: 4.58937
[INFO] 2021-05-03 16:34:24 > Step: 4600 Progress: 2.3% Elapsed: 0:57:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.81378 Generator_loss: 5.58072
[INFO] 2021-05-03 16:35:36 > Step: 4700 Progress: 2.4% Elapsed: 0:58:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.74563 Generator_loss: 4.56142
[INFO] 2021-05-03 16:36:48 > Step: 4800 Progress: 2.4% Elapsed: 0:59:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.87462 Generator_loss: 5.16675
[INFO] 2021-05-03 16:38:00 > Step: 4900 Progress: 2.5% Elapsed: 1:00:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.75081 Generator_loss: 5.14544
[INFO] 2021-05-03 16:39:12 > Step: 5000 Progress: 2.5% Elapsed: 1:02:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.84555 Generator_loss: 5.4272
[INFO] 2021-05-03 16:40:23 > Step: 5100 Progress: 2.5% Elapsed: 1:03:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.85355 Generator_loss: 5.27339
[INFO] 2021-05-03 16:41:36 > Step: 5200 Progress: 2.6% Elapsed: 1:04:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.79458 Generator_loss: 5.00085
[INFO] 2021-05-03 16:42:48 > Step: 5300 Progress: 2.6% Elapsed: 1:05:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.80555 Generator_loss: 5.18074
[INFO] 2021-05-03 16:44:00 > Step: 5400 Progress: 2.7% Elapsed: 1:06:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.87368 Generator_loss: 5.49019
[INFO] 2021-05-03 16:45:12 > Step: 5500 Progress: 2.8% Elapsed: 1:08:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.7801 Generator_loss: 5.57969
[INFO] 2021-05-03 16:46:23 > Step: 5600 Progress: 2.8% Elapsed: 1:09:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.7333 Generator_loss: 5.7255
[INFO] 2021-05-03 16:47:36 > Step: 5700 Progress: 2.9% Elapsed: 1:10:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.8028 Generator_loss: 5.67187
[INFO] 2021-05-03 16:48:48 > Step: 5800 Progress: 2.9% Elapsed: 1:11:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.87875 Generator_loss: 4.70205
[INFO] 2021-05-03 16:50:00 > Step: 5900 Progress: 2.9% Elapsed: 1:12:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.73484 Generator_loss: 4.8908
[INFO] 2021-05-03 16:51:13 > Step: 6000 Progress: 3.0% Elapsed: 1:14:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.84528 Generator_loss: 4.7726
[INFO] 2021-05-03 16:51:13 > Start Evaluation (6000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:51:13 > Calculating FID Score....
[INFO] 2021-05-03 16:51:26 > Calculating Inception Score....
[INFO] 2021-05-03 16:51:29 > Calculate F_beta Score....
[INFO] 2021-05-03 16:51:44 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 16:51:45 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 16:51:45 > Calculate Accuracies....
[INFO] 2021-05-03 16:51:48 > Calculate Accuracies....
[INFO] 2021-05-03 16:51:49 > F_8 score (Step: 6000, Using valid images): 0.6012395947201379
[INFO] 2021-05-03 16:51:49 > F_1/8 score (Step: 6000, Using valid images): 0.8374506693328146
[INFO] 2021-05-03 16:51:49 > FID score (Step: 6000, Using valid moments): 64.330071809029
[INFO] 2021-05-03 16:51:49 > Inception score (Step: 6000, 10000 generated images): 7.687791347503662
[INFO] 2021-05-03 16:51:49 > Best FID score (Step: 6000, Using valid moments): 64.330071809029
[INFO] 2021-05-03 16:52:05 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 16:53:17 > Step: 6100 Progress: 3.0% Elapsed: 1:16:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.74159 Generator_loss: 5.34209
[INFO] 2021-05-03 16:54:30 > Step: 6200 Progress: 3.1% Elapsed: 1:17:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.91676 Generator_loss: 4.24655
[INFO] 2021-05-03 16:55:42 > Step: 6300 Progress: 3.1% Elapsed: 1:18:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.78425 Generator_loss: 5.7379
[INFO] 2021-05-03 16:56:54 > Step: 6400 Progress: 3.2% Elapsed: 1:19:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.75838 Generator_loss: 4.16877
[INFO] 2021-05-03 16:58:08 > Step: 6500 Progress: 3.2% Elapsed: 1:20:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.70409 Generator_loss: 4.9222
[INFO] 2021-05-03 16:59:20 > Step: 6600 Progress: 3.3% Elapsed: 1:22:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.71195 Generator_loss: 3.97169
[INFO] 2021-05-03 17:00:32 > Step: 6700 Progress: 3.4% Elapsed: 1:23:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.66519 Generator_loss: 3.95236
[INFO] 2021-05-03 17:01:44 > Step: 6800 Progress: 3.4% Elapsed: 1:24:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.70547 Generator_loss: 5.50096
[INFO] 2021-05-03 17:02:56 > Step: 6900 Progress: 3.5% Elapsed: 1:25:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.84157 Generator_loss: 5.12017
[INFO] 2021-05-03 17:04:08 > Step: 7000 Progress: 3.5% Elapsed: 1:26:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.77263 Generator_loss: 3.95303
[INFO] 2021-05-03 17:05:20 > Step: 7100 Progress: 3.5% Elapsed: 1:28:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.74165 Generator_loss: 5.71121
[INFO] 2021-05-03 17:06:33 > Step: 7200 Progress: 3.6% Elapsed: 1:29:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.85498 Generator_loss: 4.72948
[INFO] 2021-05-03 17:07:45 > Step: 7300 Progress: 3.6% Elapsed: 1:30:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.74937 Generator_loss: 5.68054
[INFO] 2021-05-03 17:08:57 > Step: 7400 Progress: 3.7% Elapsed: 1:31:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.73351 Generator_loss: 4.88215
[INFO] 2021-05-03 17:10:09 > Step: 7500 Progress: 3.8% Elapsed: 1:32:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.67371 Generator_loss: 4.05575
[INFO] 2021-05-03 17:11:22 > Step: 7600 Progress: 3.8% Elapsed: 1:34:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.74331 Generator_loss: 4.96552
[INFO] 2021-05-03 17:12:34 > Step: 7700 Progress: 3.9% Elapsed: 1:35:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.75909 Generator_loss: 5.11462
[INFO] 2021-05-03 17:13:47 > Step: 7800 Progress: 3.9% Elapsed: 1:36:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.71598 Generator_loss: 4.11509
[INFO] 2021-05-03 17:14:59 > Step: 7900 Progress: 4.0% Elapsed: 1:37:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.74138 Generator_loss: 5.50679
[INFO] 2021-05-03 17:16:11 > Step: 8000 Progress: 4.0% Elapsed: 1:38:59 temperature: 0.75 ada_p: No Discriminator_loss: 6.73401 Generator_loss: 4.08107
[INFO] 2021-05-03 17:16:11 > Start Evaluation (8000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 17:16:11 > Calculating FID Score....
[INFO] 2021-05-03 17:16:25 > Calculating Inception Score....
[INFO] 2021-05-03 17:16:27 > Calculate F_beta Score....
[INFO] 2021-05-03 17:16:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 17:16:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 17:16:44 > Calculate Accuracies....
[INFO] 2021-05-03 17:16:46 > Calculate Accuracies....
[INFO] 2021-05-03 17:16:48 > F_8 score (Step: 8000, Using valid images): 0.6520285678305048
[INFO] 2021-05-03 17:16:48 > F_1/8 score (Step: 8000, Using valid images): 0.8803295073146533
[INFO] 2021-05-03 17:16:48 > FID score (Step: 8000, Using valid moments): 54.78303455406433
[INFO] 2021-05-03 17:16:48 > Inception score (Step: 8000, 10000 generated images): 8.371408462524414
[INFO] 2021-05-03 17:16:48 > Best FID score (Step: 8000, Using valid moments): 54.78303455406433
[INFO] 2021-05-03 17:17:03 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 17:18:16 > Step: 8100 Progress: 4.0% Elapsed: 1:41:04 temperature: 0.75 ada_p: No Discriminator_loss: 6.82006 Generator_loss: 4.22025
[INFO] 2021-05-03 17:19:28 > Step: 8200 Progress: 4.1% Elapsed: 1:42:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.63677 Generator_loss: 4.06448
[INFO] 2021-05-03 17:20:41 > Step: 8300 Progress: 4.2% Elapsed: 1:43:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.67984 Generator_loss: 3.77613
[INFO] 2021-05-03 17:21:54 > Step: 8400 Progress: 4.2% Elapsed: 1:44:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.76591 Generator_loss: 4.88856
[INFO] 2021-05-03 17:23:07 > Step: 8500 Progress: 4.2% Elapsed: 1:45:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.74073 Generator_loss: 5.19036
[INFO] 2021-05-03 17:24:19 > Step: 8600 Progress: 4.3% Elapsed: 1:47:07 temperature: 0.75 ada_p: No Discriminator_loss: 6.81393 Generator_loss: 3.80009
[INFO] 2021-05-03 17:25:31 > Step: 8700 Progress: 4.3% Elapsed: 1:48:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.80307 Generator_loss: 3.83967
[INFO] 2021-05-03 17:26:43 > Step: 8800 Progress: 4.4% Elapsed: 1:49:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.70626 Generator_loss: 5.23795
[INFO] 2021-05-03 17:27:56 > Step: 8900 Progress: 4.5% Elapsed: 1:50:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.75691 Generator_loss: 5.03286
[INFO] 2021-05-03 17:29:08 > Step: 9000 Progress: 4.5% Elapsed: 1:51:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.71482 Generator_loss: 5.20213
[INFO] 2021-05-03 17:30:20 > Step: 9100 Progress: 4.5% Elapsed: 1:53:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.66751 Generator_loss: 5.14616
[INFO] 2021-05-03 17:31:32 > Step: 9200 Progress: 4.6% Elapsed: 1:54:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.7819 Generator_loss: 4.89502
[INFO] 2021-05-03 17:32:44 > Step: 9300 Progress: 4.7% Elapsed: 1:55:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.72458 Generator_loss: 5.14795
[INFO] 2021-05-03 17:33:56 > Step: 9400 Progress: 4.7% Elapsed: 1:56:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.74258 Generator_loss: 4.65993
[INFO] 2021-05-03 17:35:09 > Step: 9500 Progress: 4.8% Elapsed: 1:57:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.80865 Generator_loss: 4.87162
[INFO] 2021-05-03 17:36:21 > Step: 9600 Progress: 4.8% Elapsed: 1:59:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.73945 Generator_loss: 4.63714
[INFO] 2021-05-03 17:37:33 > Step: 9700 Progress: 4.9% Elapsed: 2:00:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.65535 Generator_loss: 3.88717
[INFO] 2021-05-03 17:38:47 > Step: 9800 Progress: 4.9% Elapsed: 2:01:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.56211 Generator_loss: 3.93358
[INFO] 2021-05-03 17:39:58 > Step: 9900 Progress: 5.0% Elapsed: 2:02:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.65174 Generator_loss: 5.51475
[INFO] 2021-05-03 17:41:11 > Step: 10000 Progress: 5.0% Elapsed: 2:03:59 temperature: 0.75 ada_p: No Discriminator_loss: 6.76439 Generator_loss: 4.71322
[INFO] 2021-05-03 17:41:11 > Start Evaluation (10000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 17:41:11 > Calculating FID Score....
[INFO] 2021-05-03 17:41:24 > Calculating Inception Score....
[INFO] 2021-05-03 17:41:27 > Calculate F_beta Score....
[INFO] 2021-05-03 17:41:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 17:41:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 17:41:43 > Calculate Accuracies....
[INFO] 2021-05-03 17:41:46 > Calculate Accuracies....
[INFO] 2021-05-03 17:41:47 > F_8 score (Step: 10000, Using valid images): 0.6845307296024358
[INFO] 2021-05-03 17:41:47 > F_1/8 score (Step: 10000, Using valid images): 0.9083267725383943
[INFO] 2021-05-03 17:41:47 > FID score (Step: 10000, Using valid moments): 48.534418616853316
[INFO] 2021-05-03 17:41:47 > Inception score (Step: 10000, 10000 generated images): 8.906596183776855
[INFO] 2021-05-03 17:41:47 > Best FID score (Step: 10000, Using valid moments): 48.534418616853316
[INFO] 2021-05-03 17:42:03 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 17:43:15 > Step: 10100 Progress: 5.1% Elapsed: 2:06:03 temperature: 0.75 ada_p: No Discriminator_loss: 6.59793 Generator_loss: 5.63064
[INFO] 2021-05-03 17:44:28 > Step: 10200 Progress: 5.1% Elapsed: 2:07:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.59133 Generator_loss: 3.88086
[INFO] 2021-05-03 17:45:40 > Step: 10300 Progress: 5.1% Elapsed: 2:08:28 temperature: 0.75 ada_p: No Discriminator_loss: 6.57308 Generator_loss: 5.44597
[INFO] 2021-05-03 17:46:53 > Step: 10400 Progress: 5.2% Elapsed: 2:09:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.75044 Generator_loss: 5.10612
[INFO] 2021-05-03 17:48:05 > Step: 10500 Progress: 5.2% Elapsed: 2:10:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.57861 Generator_loss: 5.54659
[INFO] 2021-05-03 17:49:18 > Step: 10600 Progress: 5.3% Elapsed: 2:12:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.71105 Generator_loss: 4.02175
[INFO] 2021-05-03 17:50:30 > Step: 10700 Progress: 5.3% Elapsed: 2:13:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.49822 Generator_loss: 4.31622
[INFO] 2021-05-03 17:51:43 > Step: 10800 Progress: 5.4% Elapsed: 2:14:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.67033 Generator_loss: 5.21283
[INFO] 2021-05-03 17:52:55 > Step: 10900 Progress: 5.5% Elapsed: 2:15:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.59773 Generator_loss: 5.38515
[INFO] 2021-05-03 17:54:07 > Step: 11000 Progress: 5.5% Elapsed: 2:16:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.74346 Generator_loss: 5.62646
[INFO] 2021-05-03 17:55:19 > Step: 11100 Progress: 5.5% Elapsed: 2:18:07 temperature: 0.75 ada_p: No Discriminator_loss: 6.61961 Generator_loss: 3.99183
[INFO] 2021-05-03 17:56:32 > Step: 11200 Progress: 5.6% Elapsed: 2:19:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.59735 Generator_loss: 5.01366
[INFO] 2021-05-03 17:57:44 > Step: 11300 Progress: 5.7% Elapsed: 2:20:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.7207 Generator_loss: 4.22798
[INFO] 2021-05-03 17:58:56 > Step: 11400 Progress: 5.7% Elapsed: 2:21:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.6212 Generator_loss: 4.37248
[INFO] 2021-05-03 18:00:08 > Step: 11500 Progress: 5.8% Elapsed: 2:22:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.7844 Generator_loss: 4.92692
[INFO] 2021-05-03 18:01:21 > Step: 11600 Progress: 5.8% Elapsed: 2:24:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.58659 Generator_loss: 5.6989
[INFO] 2021-05-03 18:02:33 > Step: 11700 Progress: 5.9% Elapsed: 2:25:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.62281 Generator_loss: 5.42213
[INFO] 2021-05-03 18:03:45 > Step: 11800 Progress: 5.9% Elapsed: 2:26:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.6187 Generator_loss: 4.79819
[INFO] 2021-05-03 18:04:58 > Step: 11900 Progress: 5.9% Elapsed: 2:27:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.57345 Generator_loss: 5.3353
[INFO] 2021-05-03 18:06:10 > Step: 12000 Progress: 6.0% Elapsed: 2:28:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.65369 Generator_loss: 5.17519
[INFO] 2021-05-03 18:06:10 > Start Evaluation (12000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:06:10 > Calculating FID Score....
[INFO] 2021-05-03 18:06:23 > Calculating Inception Score....
[INFO] 2021-05-03 18:06:26 > Calculate F_beta Score....
[INFO] 2021-05-03 18:06:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 18:06:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 18:06:42 > Calculate Accuracies....
[INFO] 2021-05-03 18:06:44 > Calculate Accuracies....
[INFO] 2021-05-03 18:06:45 > F_8 score (Step: 12000, Using valid images): 0.7042427975492639
[INFO] 2021-05-03 18:06:45 > F_1/8 score (Step: 12000, Using valid images): 0.9323783280247336
[INFO] 2021-05-03 18:06:45 > FID score (Step: 12000, Using valid moments): 43.258965813199325
[INFO] 2021-05-03 18:06:45 > Inception score (Step: 12000, 10000 generated images): 9.54650592803955
[INFO] 2021-05-03 18:06:45 > Best FID score (Step: 12000, Using valid moments): 43.258965813199325
[INFO] 2021-05-03 18:07:01 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:08:13 > Step: 12100 Progress: 6.0% Elapsed: 2:31:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.55146 Generator_loss: 4.49048
[INFO] 2021-05-03 18:09:25 > Step: 12200 Progress: 6.1% Elapsed: 2:32:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.59726 Generator_loss: 4.77275
[INFO] 2021-05-03 18:10:37 > Step: 12300 Progress: 6.2% Elapsed: 2:33:26 temperature: 0.75 ada_p: No Discriminator_loss: 6.79126 Generator_loss: 4.58545
[INFO] 2021-05-03 18:11:50 > Step: 12400 Progress: 6.2% Elapsed: 2:34:38 temperature: 0.75 ada_p: No Discriminator_loss: 6.72012 Generator_loss: 5.25398
[INFO] 2021-05-03 18:13:02 > Step: 12500 Progress: 6.2% Elapsed: 2:35:50 temperature: 0.75 ada_p: No Discriminator_loss: 6.57007 Generator_loss: 4.19394
[INFO] 2021-05-03 18:14:14 > Step: 12600 Progress: 6.3% Elapsed: 2:37:02 temperature: 0.75 ada_p: No Discriminator_loss: 6.56042 Generator_loss: 5.45837
[INFO] 2021-05-03 18:15:27 > Step: 12700 Progress: 6.3% Elapsed: 2:38:15 temperature: 0.75 ada_p: No Discriminator_loss: 6.66392 Generator_loss: 5.11173
[INFO] 2021-05-03 18:16:40 > Step: 12800 Progress: 6.4% Elapsed: 2:39:28 temperature: 0.75 ada_p: No Discriminator_loss: 6.66606 Generator_loss: 5.14935
[INFO] 2021-05-03 18:17:52 > Step: 12900 Progress: 6.5% Elapsed: 2:40:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.53764 Generator_loss: 4.78899
[INFO] 2021-05-03 18:19:06 > Step: 13000 Progress: 6.5% Elapsed: 2:41:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.59539 Generator_loss: 3.86652
[INFO] 2021-05-03 18:20:18 > Step: 13100 Progress: 6.6% Elapsed: 2:43:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.58559 Generator_loss: 3.97977
[INFO] 2021-05-03 18:21:30 > Step: 13200 Progress: 6.6% Elapsed: 2:44:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.62974 Generator_loss: 5.28579
[INFO] 2021-05-03 18:22:42 > Step: 13300 Progress: 6.7% Elapsed: 2:45:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.44588 Generator_loss: 5.2392
[INFO] 2021-05-03 18:23:55 > Step: 13400 Progress: 6.7% Elapsed: 2:46:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.47302 Generator_loss: 5.15762
[INFO] 2021-05-03 18:25:08 > Step: 13500 Progress: 6.8% Elapsed: 2:47:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.60784 Generator_loss: 3.99089
[INFO] 2021-05-03 18:26:20 > Step: 13600 Progress: 6.8% Elapsed: 2:49:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.70861 Generator_loss: 4.92682
[INFO] 2021-05-03 18:27:32 > Step: 13700 Progress: 6.9% Elapsed: 2:50:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.59633 Generator_loss: 4.29754
[INFO] 2021-05-03 18:28:45 > Step: 13800 Progress: 6.9% Elapsed: 2:51:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.55774 Generator_loss: 4.21036
[INFO] 2021-05-03 18:29:57 > Step: 13900 Progress: 7.0% Elapsed: 2:52:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.59918 Generator_loss: 5.1615
[INFO] 2021-05-03 18:31:10 > Step: 14000 Progress: 7.0% Elapsed: 2:53:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.71231 Generator_loss: 3.81335
[INFO] 2021-05-03 18:31:10 > Start Evaluation (14000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:31:10 > Calculating FID Score....
[INFO] 2021-05-03 18:31:23 > Calculating Inception Score....
[INFO] 2021-05-03 18:31:26 > Calculate F_beta Score....
[INFO] 2021-05-03 18:31:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 18:31:42 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 18:31:42 > Calculate Accuracies....
[INFO] 2021-05-03 18:31:45 > Calculate Accuracies....
[INFO] 2021-05-03 18:31:46 > F_8 score (Step: 14000, Using valid images): 0.7321538869648243
[INFO] 2021-05-03 18:31:46 > F_1/8 score (Step: 14000, Using valid images): 0.9426943130577164
[INFO] 2021-05-03 18:31:46 > FID score (Step: 14000, Using valid moments): 39.99452334878998
[INFO] 2021-05-03 18:31:46 > Inception score (Step: 14000, 10000 generated images): 10.644960403442383
[INFO] 2021-05-03 18:31:46 > Best FID score (Step: 14000, Using valid moments): 39.99452334878998
[INFO] 2021-05-03 18:32:02 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:33:14 > Step: 14100 Progress: 7.0% Elapsed: 2:56:02 temperature: 0.75 ada_p: No Discriminator_loss: 6.51894 Generator_loss: 5.32092
[INFO] 2021-05-03 18:34:27 > Step: 14200 Progress: 7.1% Elapsed: 2:57:15 temperature: 0.75 ada_p: No Discriminator_loss: 6.71424 Generator_loss: 5.12732
[INFO] 2021-05-03 18:35:39 > Step: 14300 Progress: 7.1% Elapsed: 2:58:27 temperature: 0.75 ada_p: No Discriminator_loss: 6.70669 Generator_loss: 5.0085
[INFO] 2021-05-03 18:36:51 > Step: 14400 Progress: 7.2% Elapsed: 2:59:39 temperature: 0.75 ada_p: No Discriminator_loss: 6.44487 Generator_loss: 5.4092
[INFO] 2021-05-03 18:38:04 > Step: 14500 Progress: 7.2% Elapsed: 3:00:52 temperature: 0.75 ada_p: No Discriminator_loss: 6.57156 Generator_loss: 5.1096
[INFO] 2021-05-03 18:39:16 > Step: 14600 Progress: 7.3% Elapsed: 3:02:04 temperature: 0.75 ada_p: No Discriminator_loss: 6.46019 Generator_loss: 5.34547
[INFO] 2021-05-03 18:40:28 > Step: 14700 Progress: 7.3% Elapsed: 3:03:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.49194 Generator_loss: 5.27619
[INFO] 2021-05-03 18:41:41 > Step: 14800 Progress: 7.4% Elapsed: 3:04:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.44748 Generator_loss: 5.2338
[INFO] 2021-05-03 18:42:53 > Step: 14900 Progress: 7.4% Elapsed: 3:05:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.67565 Generator_loss: 5.0665
[INFO] 2021-05-03 18:44:05 > Step: 15000 Progress: 7.5% Elapsed: 3:06:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.60121 Generator_loss: 5.01859
[INFO] 2021-05-03 18:45:18 > Step: 15100 Progress: 7.5% Elapsed: 3:08:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.63269 Generator_loss: 5.40271
[INFO] 2021-05-03 18:46:30 > Step: 15200 Progress: 7.6% Elapsed: 3:09:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.53149 Generator_loss: 5.31302
[INFO] 2021-05-03 18:47:42 > Step: 15300 Progress: 7.6% Elapsed: 3:10:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.48025 Generator_loss: 5.39956
[INFO] 2021-05-03 18:48:54 > Step: 15400 Progress: 7.7% Elapsed: 3:11:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.5933 Generator_loss: 5.30005
[INFO] 2021-05-03 18:50:07 > Step: 15500 Progress: 7.8% Elapsed: 3:12:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.42707 Generator_loss: 4.92407
[INFO] 2021-05-03 18:51:18 > Step: 15600 Progress: 7.8% Elapsed: 3:14:07 temperature: 0.75 ada_p: No Discriminator_loss: 6.47775 Generator_loss: 5.54523
[INFO] 2021-05-03 18:52:31 > Step: 15700 Progress: 7.8% Elapsed: 3:15:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.50419 Generator_loss: 5.28001
[INFO] 2021-05-03 18:53:43 > Step: 15800 Progress: 7.9% Elapsed: 3:16:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.4858 Generator_loss: 5.37415
[INFO] 2021-05-03 18:54:55 > Step: 15900 Progress: 8.0% Elapsed: 3:17:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.61536 Generator_loss: 5.35663
[INFO] 2021-05-03 18:56:08 > Step: 16000 Progress: 8.0% Elapsed: 3:18:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.41433 Generator_loss: 4.08518
[INFO] 2021-05-03 18:56:08 > Start Evaluation (16000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:56:08 > Calculating FID Score....
[INFO] 2021-05-03 18:56:21 > Calculating Inception Score....
[INFO] 2021-05-03 18:56:24 > Calculate F_beta Score....
[INFO] 2021-05-03 18:56:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 18:56:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 18:56:42 > Calculate Accuracies....
[INFO] 2021-05-03 18:56:45 > Calculate Accuracies....
[INFO] 2021-05-03 18:56:48 > F_8 score (Step: 16000, Using valid images): 0.7374388182878041
[INFO] 2021-05-03 18:56:48 > F_1/8 score (Step: 16000, Using valid images): 0.9466701341083895
[INFO] 2021-05-03 18:56:48 > FID score (Step: 16000, Using valid moments): 38.45254574786554
[INFO] 2021-05-03 18:56:48 > Inception score (Step: 16000, 10000 generated images): 10.287416458129883
[INFO] 2021-05-03 18:56:48 > Best FID score (Step: 16000, Using valid moments): 38.45254574786554
[INFO] 2021-05-03 18:57:03 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 18:58:16 > Step: 16100 Progress: 8.1% Elapsed: 3:21:04 temperature: 0.75 ada_p: No Discriminator_loss: 6.56605 Generator_loss: 5.26545
[INFO] 2021-05-03 18:59:29 > Step: 16200 Progress: 8.1% Elapsed: 3:22:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.62843 Generator_loss: 4.88261
[INFO] 2021-05-03 19:00:41 > Step: 16300 Progress: 8.2% Elapsed: 3:23:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.6724 Generator_loss: 5.3436
[INFO] 2021-05-03 19:01:54 > Step: 16400 Progress: 8.2% Elapsed: 3:24:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.62569 Generator_loss: 5.00252
[INFO] 2021-05-03 19:03:06 > Step: 16500 Progress: 8.2% Elapsed: 3:25:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.42655 Generator_loss: 5.13799
[INFO] 2021-05-03 19:04:18 > Step: 16600 Progress: 8.3% Elapsed: 3:27:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.60889 Generator_loss: 5.39332
[INFO] 2021-05-03 19:05:30 > Step: 16700 Progress: 8.3% Elapsed: 3:28:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.64762 Generator_loss: 5.00099
[INFO] 2021-05-03 19:06:43 > Step: 16800 Progress: 8.4% Elapsed: 3:29:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.57273 Generator_loss: 5.30358
[INFO] 2021-05-03 19:07:55 > Step: 16900 Progress: 8.5% Elapsed: 3:30:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.54086 Generator_loss: 3.76968
[INFO] 2021-05-03 19:09:07 > Step: 17000 Progress: 8.5% Elapsed: 3:31:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.41066 Generator_loss: 5.59197
[INFO] 2021-05-03 19:10:20 > Step: 17100 Progress: 8.6% Elapsed: 3:33:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.58852 Generator_loss: 5.35251
[INFO] 2021-05-03 19:11:32 > Step: 17200 Progress: 8.6% Elapsed: 3:34:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.43571 Generator_loss: 3.98313
[INFO] 2021-05-03 19:12:44 > Step: 17300 Progress: 8.6% Elapsed: 3:35:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.52238 Generator_loss: 3.90607
[INFO] 2021-05-03 19:13:57 > Step: 17400 Progress: 8.7% Elapsed: 3:36:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.52573 Generator_loss: 4.39178
[INFO] 2021-05-03 19:15:09 > Step: 17500 Progress: 8.8% Elapsed: 3:37:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.57908 Generator_loss: 5.28468
[INFO] 2021-05-03 19:16:21 > Step: 17600 Progress: 8.8% Elapsed: 3:39:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.44253 Generator_loss: 5.18123
[INFO] 2021-05-03 19:17:33 > Step: 17700 Progress: 8.8% Elapsed: 3:40:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.48053 Generator_loss: 5.1587
[INFO] 2021-05-03 19:18:45 > Step: 17800 Progress: 8.9% Elapsed: 3:41:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.39844 Generator_loss: 4.15002
[INFO] 2021-05-03 19:19:57 > Step: 17900 Progress: 8.9% Elapsed: 3:42:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.60283 Generator_loss: 5.18303
[INFO] 2021-05-03 19:21:09 > Step: 18000 Progress: 9.0% Elapsed: 3:43:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.54834 Generator_loss: 4.90616
[INFO] 2021-05-03 19:21:09 > Start Evaluation (18000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 19:21:09 > Calculating FID Score....
[INFO] 2021-05-03 19:21:23 > Calculating Inception Score....
[INFO] 2021-05-03 19:21:25 > Calculate F_beta Score....
[INFO] 2021-05-03 19:21:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 19:21:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 19:21:42 > Calculate Accuracies....
[INFO] 2021-05-03 19:21:44 > Calculate Accuracies....
[INFO] 2021-05-03 19:21:46 > F_8 score (Step: 18000, Using valid images): 0.7954584986886519
[INFO] 2021-05-03 19:21:46 > F_1/8 score (Step: 18000, Using valid images): 0.9511069728596778
[INFO] 2021-05-03 19:21:46 > FID score (Step: 18000, Using valid moments): 35.149353468486595
[INFO] 2021-05-03 19:21:46 > Inception score (Step: 18000, 10000 generated images): 11.429211616516113
[INFO] 2021-05-03 19:21:46 > Best FID score (Step: 18000, Using valid moments): 35.149353468486595
[INFO] 2021-05-03 19:22:02 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 19:23:15 > Step: 18100 Progress: 9.0% Elapsed: 3:46:03 temperature: 0.75 ada_p: No Discriminator_loss: 6.43731 Generator_loss: 4.87068
[INFO] 2021-05-03 19:24:28 > Step: 18200 Progress: 9.1% Elapsed: 3:47:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.51661 Generator_loss: 4.07357
[INFO] 2021-05-03 19:25:41 > Step: 18300 Progress: 9.2% Elapsed: 3:48:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.44263 Generator_loss: 4.50986
[INFO] 2021-05-03 19:26:53 > Step: 18400 Progress: 9.2% Elapsed: 3:49:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.42396 Generator_loss: 5.52404
[INFO] 2021-05-03 19:28:06 > Step: 18500 Progress: 9.2% Elapsed: 3:50:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.46576 Generator_loss: 5.68048
[INFO] 2021-05-03 19:29:19 > Step: 18600 Progress: 9.3% Elapsed: 3:52:07 temperature: 0.75 ada_p: No Discriminator_loss: 6.4772 Generator_loss: 4.62378
[INFO] 2021-05-03 19:30:32 > Step: 18700 Progress: 9.3% Elapsed: 3:53:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.5239 Generator_loss: 4.10199
[INFO] 2021-05-03 19:31:44 > Step: 18800 Progress: 9.4% Elapsed: 3:54:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.3638 Generator_loss: 5.02975
[INFO] 2021-05-03 19:32:56 > Step: 18900 Progress: 9.4% Elapsed: 3:55:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.6244 Generator_loss: 3.88487
[INFO] 2021-05-03 19:34:08 > Step: 19000 Progress: 9.5% Elapsed: 3:56:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.3878 Generator_loss: 4.32963
[INFO] 2021-05-03 19:35:21 > Step: 19100 Progress: 9.6% Elapsed: 3:58:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.51277 Generator_loss: 4.79972
[INFO] 2021-05-03 19:36:33 > Step: 19200 Progress: 9.6% Elapsed: 3:59:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.46557 Generator_loss: 4.09691
[INFO] 2021-05-03 19:37:45 > Step: 19300 Progress: 9.7% Elapsed: 4:00:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.40966 Generator_loss: 5.31193
[INFO] 2021-05-03 19:38:57 > Step: 19400 Progress: 9.7% Elapsed: 4:01:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.33808 Generator_loss: 4.88494
[INFO] 2021-05-03 19:40:10 > Step: 19500 Progress: 9.8% Elapsed: 4:02:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.47039 Generator_loss: 4.77679
[INFO] 2021-05-03 19:41:23 > Step: 19600 Progress: 9.8% Elapsed: 4:04:11 temperature: 0.75 ada_p: No Discriminator_loss: 6.41361 Generator_loss: 4.33904
[INFO] 2021-05-03 19:42:35 > Step: 19700 Progress: 9.8% Elapsed: 4:05:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.48928 Generator_loss: 4.65542
[INFO] 2021-05-03 19:43:48 > Step: 19800 Progress: 9.9% Elapsed: 4:06:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.5175 Generator_loss: 4.07219
[INFO] 2021-05-03 19:45:00 > Step: 19900 Progress: 10.0% Elapsed: 4:07:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.33416 Generator_loss: 4.96511
[INFO] 2021-05-03 19:46:13 > Step: 20000 Progress: 10.0% Elapsed: 4:09:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.54482 Generator_loss: 5.12254
[INFO] 2021-05-03 19:46:13 > Start Evaluation (20000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 19:46:13 > Calculating FID Score....
[INFO] 2021-05-03 19:46:26 > Calculating Inception Score....
[INFO] 2021-05-03 19:46:29 > Calculate F_beta Score....
[INFO] 2021-05-03 19:46:45 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 19:46:45 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 19:46:45 > Calculate Accuracies....
[INFO] 2021-05-03 19:46:49 > Calculate Accuracies....
[INFO] 2021-05-03 19:46:50 > F_8 score (Step: 20000, Using valid images): 0.791063556762881
[INFO] 2021-05-03 19:46:50 > F_1/8 score (Step: 20000, Using valid images): 0.9589652790211319
[INFO] 2021-05-03 19:46:50 > FID score (Step: 20000, Using valid moments): 32.658397783810074
[INFO] 2021-05-03 19:46:50 > Inception score (Step: 20000, 10000 generated images): 11.810699462890625
[INFO] 2021-05-03 19:46:50 > Best FID score (Step: 20000, Using valid moments): 32.658397783810074
[INFO] 2021-05-03 19:47:07 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 19:48:20 > Step: 20100 Progress: 10.1% Elapsed: 4:11:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.28142 Generator_loss: 5.5821
[INFO] 2021-05-03 19:49:33 > Step: 20200 Progress: 10.1% Elapsed: 4:12:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.351 Generator_loss: 4.82822
[INFO] 2021-05-03 19:50:45 > Step: 20300 Progress: 10.2% Elapsed: 4:13:34 temperature: 0.75 ada_p: No Discriminator_loss: 6.4483 Generator_loss: 5.57927
[INFO] 2021-05-03 19:51:58 > Step: 20400 Progress: 10.2% Elapsed: 4:14:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.52326 Generator_loss: 5.46445
[INFO] 2021-05-03 19:53:11 > Step: 20500 Progress: 10.2% Elapsed: 4:15:59 temperature: 0.75 ada_p: No Discriminator_loss: 6.37473 Generator_loss: 5.36873
[INFO] 2021-05-03 19:54:23 > Step: 20600 Progress: 10.3% Elapsed: 4:17:11 temperature: 0.75 ada_p: No Discriminator_loss: 6.51719 Generator_loss: 5.1857
[INFO] 2021-05-03 19:55:35 > Step: 20700 Progress: 10.3% Elapsed: 4:18:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.3275 Generator_loss: 5.43073
[INFO] 2021-05-03 19:56:48 > Step: 20800 Progress: 10.4% Elapsed: 4:19:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.3499 Generator_loss: 5.19094
[INFO] 2021-05-03 19:58:01 > Step: 20900 Progress: 10.4% Elapsed: 4:20:49 temperature: 0.75 ada_p: No Discriminator_loss: 6.63695 Generator_loss: 5.07593
[INFO] 2021-05-03 19:59:13 > Step: 21000 Progress: 10.5% Elapsed: 4:22:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.41081 Generator_loss: 5.32563
[INFO] 2021-05-03 20:00:25 > Step: 21100 Progress: 10.5% Elapsed: 4:23:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.5131 Generator_loss: 5.35053
[INFO] 2021-05-03 20:01:36 > Step: 21200 Progress: 10.6% Elapsed: 4:24:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.47079 Generator_loss: 5.61333
[INFO] 2021-05-03 20:02:48 > Step: 21300 Progress: 10.7% Elapsed: 4:25:36 temperature: 0.75 ada_p: No Discriminator_loss: 6.34017 Generator_loss: 4.64529
[INFO] 2021-05-03 20:04:01 > Step: 21400 Progress: 10.7% Elapsed: 4:26:49 temperature: 0.75 ada_p: No Discriminator_loss: 6.35828 Generator_loss: 4.29407
[INFO] 2021-05-03 20:05:13 > Step: 21500 Progress: 10.8% Elapsed: 4:28:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.35842 Generator_loss: 4.51695
[INFO] 2021-05-03 20:06:25 > Step: 21600 Progress: 10.8% Elapsed: 4:29:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.3211 Generator_loss: 4.4948
[INFO] 2021-05-03 20:07:37 > Step: 21700 Progress: 10.8% Elapsed: 4:30:25 temperature: 0.75 ada_p: No Discriminator_loss: 6.32352 Generator_loss: 4.98894
[INFO] 2021-05-03 20:08:49 > Step: 21800 Progress: 10.9% Elapsed: 4:31:38 temperature: 0.75 ada_p: No Discriminator_loss: 6.50792 Generator_loss: 4.88565
[INFO] 2021-05-03 20:10:02 > Step: 21900 Progress: 10.9% Elapsed: 4:32:50 temperature: 0.75 ada_p: No Discriminator_loss: 6.45047 Generator_loss: 4.3746
[INFO] 2021-05-03 20:11:14 > Step: 22000 Progress: 11.0% Elapsed: 4:34:02 temperature: 0.75 ada_p: No Discriminator_loss: 6.51596 Generator_loss: 5.46597
[INFO] 2021-05-03 20:11:14 > Start Evaluation (22000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 20:11:14 > Calculating FID Score....
[INFO] 2021-05-03 20:11:27 > Calculating Inception Score....
[INFO] 2021-05-03 20:11:30 > Calculate F_beta Score....
[INFO] 2021-05-03 20:11:45 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 20:11:46 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 20:11:46 > Calculate Accuracies....
[INFO] 2021-05-03 20:11:49 > Calculate Accuracies....
[INFO] 2021-05-03 20:11:50 > F_8 score (Step: 22000, Using valid images): 0.801819013707419
[INFO] 2021-05-03 20:11:50 > F_1/8 score (Step: 22000, Using valid images): 0.9612371430009379
[INFO] 2021-05-03 20:11:50 > FID score (Step: 22000, Using valid moments): 30.929813252751728
[INFO] 2021-05-03 20:11:50 > Inception score (Step: 22000, 10000 generated images): 11.828166961669922
[INFO] 2021-05-03 20:11:50 > Best FID score (Step: 22000, Using valid moments): 30.929813252751728
[INFO] 2021-05-03 20:12:06 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 20:13:19 > Step: 22100 Progress: 11.1% Elapsed: 4:36:07 temperature: 0.75 ada_p: No Discriminator_loss: 6.59809 Generator_loss: 3.61365
[INFO] 2021-05-03 20:14:31 > Step: 22200 Progress: 11.1% Elapsed: 4:37:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.57005 Generator_loss: 5.12962
[INFO] 2021-05-03 20:15:43 > Step: 22300 Progress: 11.2% Elapsed: 4:38:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.33789 Generator_loss: 5.44976
[INFO] 2021-05-03 20:16:55 > Step: 22400 Progress: 11.2% Elapsed: 4:39:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.44065 Generator_loss: 4.73383
[INFO] 2021-05-03 20:18:07 > Step: 22500 Progress: 11.2% Elapsed: 4:40:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.77542 Generator_loss: 4.85836
[INFO] 2021-05-03 20:19:18 > Step: 22600 Progress: 11.3% Elapsed: 4:42:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.37589 Generator_loss: 3.81346
[INFO] 2021-05-03 20:20:31 > Step: 22700 Progress: 11.3% Elapsed: 4:43:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.4161 Generator_loss: 5.38685
[INFO] 2021-05-03 20:21:43 > Step: 22800 Progress: 11.4% Elapsed: 4:44:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.53718 Generator_loss: 4.18318
[INFO] 2021-05-03 20:22:55 > Step: 22900 Progress: 11.5% Elapsed: 4:45:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.49824 Generator_loss: 3.94135
[INFO] 2021-05-03 20:24:08 > Step: 23000 Progress: 11.5% Elapsed: 4:46:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.39481 Generator_loss: 4.36393
[INFO] 2021-05-03 20:25:20 > Step: 23100 Progress: 11.6% Elapsed: 4:48:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.43533 Generator_loss: 3.74814
[INFO] 2021-05-03 20:26:33 > Step: 23200 Progress: 11.6% Elapsed: 4:49:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.34548 Generator_loss: 5.40839
[INFO] 2021-05-03 20:27:45 > Step: 23300 Progress: 11.7% Elapsed: 4:50:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.2728 Generator_loss: 5.63367
[INFO] 2021-05-03 20:28:57 > Step: 23400 Progress: 11.7% Elapsed: 4:51:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.2719 Generator_loss: 4.12081
[INFO] 2021-05-03 20:30:10 > Step: 23500 Progress: 11.8% Elapsed: 4:52:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.52578 Generator_loss: 4.08354
[INFO] 2021-05-03 20:31:22 > Step: 23600 Progress: 11.8% Elapsed: 4:54:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.27859 Generator_loss: 5.02635
[INFO] 2021-05-03 20:32:34 > Step: 23700 Progress: 11.8% Elapsed: 4:55:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.29745 Generator_loss: 5.32912
[INFO] 2021-05-03 20:33:46 > Step: 23800 Progress: 11.9% Elapsed: 4:56:34 temperature: 0.75 ada_p: No Discriminator_loss: 6.25723 Generator_loss: 4.90827
[INFO] 2021-05-03 20:34:59 > Step: 23900 Progress: 11.9% Elapsed: 4:57:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.40199 Generator_loss: 5.34932
[INFO] 2021-05-03 20:36:11 > Step: 24000 Progress: 12.0% Elapsed: 4:58:59 temperature: 0.75 ada_p: No Discriminator_loss: 6.47025 Generator_loss: 4.90914
[INFO] 2021-05-03 20:36:11 > Start Evaluation (24000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 20:36:11 > Calculating FID Score....
[INFO] 2021-05-03 20:36:24 > Calculating Inception Score....
[INFO] 2021-05-03 20:36:27 > Calculate F_beta Score....
[INFO] 2021-05-03 20:36:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 20:36:43 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 20:36:44 > Calculate Accuracies....
[INFO] 2021-05-03 20:36:47 > Calculate Accuracies....
[INFO] 2021-05-03 20:36:48 > F_8 score (Step: 24000, Using valid images): 0.8326645630977014
[INFO] 2021-05-03 20:36:48 > F_1/8 score (Step: 24000, Using valid images): 0.9688149010186258
[INFO] 2021-05-03 20:36:48 > FID score (Step: 24000, Using valid moments): 28.395542585347812
[INFO] 2021-05-03 20:36:48 > Inception score (Step: 24000, 10000 generated images): 12.387184143066406
[INFO] 2021-05-03 20:36:48 > Best FID score (Step: 24000, Using valid moments): 28.395542585347812
[INFO] 2021-05-03 20:37:04 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 20:38:17 > Step: 24100 Progress: 12.0% Elapsed: 5:01:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.66584 Generator_loss: 4.15587
[INFO] 2021-05-03 20:39:29 > Step: 24200 Progress: 12.1% Elapsed: 5:02:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.66157 Generator_loss: 5.4767
[INFO] 2021-05-03 20:40:42 > Step: 24300 Progress: 12.2% Elapsed: 5:03:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.46273 Generator_loss: 4.48047
[INFO] 2021-05-03 20:41:54 > Step: 24400 Progress: 12.2% Elapsed: 5:04:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.3415 Generator_loss: 5.02216
[INFO] 2021-05-03 20:43:06 > Step: 24500 Progress: 12.2% Elapsed: 5:05:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.32971 Generator_loss: 5.29179
[INFO] 2021-05-03 20:44:18 > Step: 24600 Progress: 12.3% Elapsed: 5:07:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.53956 Generator_loss: 5.3047
[INFO] 2021-05-03 20:45:30 > Step: 24700 Progress: 12.3% Elapsed: 5:08:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.27715 Generator_loss: 3.99537
[INFO] 2021-05-03 20:46:42 > Step: 24800 Progress: 12.4% Elapsed: 5:09:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.34799 Generator_loss: 5.55436
[INFO] 2021-05-03 20:47:55 > Step: 24900 Progress: 12.4% Elapsed: 5:10:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.37228 Generator_loss: 4.59994
[INFO] 2021-05-03 20:49:06 > Step: 25000 Progress: 12.5% Elapsed: 5:11:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.3438 Generator_loss: 5.29503
[INFO] 2021-05-03 20:50:18 > Step: 25100 Progress: 12.6% Elapsed: 5:13:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.31893 Generator_loss: 4.99758
[INFO] 2021-05-03 20:51:31 > Step: 25200 Progress: 12.6% Elapsed: 5:14:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.4616 Generator_loss: 4.58622
[INFO] 2021-05-03 20:52:43 > Step: 25300 Progress: 12.7% Elapsed: 5:15:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.34664 Generator_loss: 5.29348
[INFO] 2021-05-03 20:53:55 > Step: 25400 Progress: 12.7% Elapsed: 5:16:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.42567 Generator_loss: 4.25919
[INFO] 2021-05-03 20:55:07 > Step: 25500 Progress: 12.8% Elapsed: 5:17:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.23279 Generator_loss: 5.68232
[INFO] 2021-05-03 20:56:19 > Step: 25600 Progress: 12.8% Elapsed: 5:19:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.32263 Generator_loss: 4.55955
[INFO] 2021-05-03 20:57:31 > Step: 25700 Progress: 12.8% Elapsed: 5:20:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.30007 Generator_loss: 4.19724
[INFO] 2021-05-03 20:58:44 > Step: 25800 Progress: 12.9% Elapsed: 5:21:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.46563 Generator_loss: 4.71203
[INFO] 2021-05-03 20:59:57 > Step: 25900 Progress: 13.0% Elapsed: 5:22:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.37632 Generator_loss: 4.57635
[INFO] 2021-05-03 21:01:10 > Step: 26000 Progress: 13.0% Elapsed: 5:23:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.35 Generator_loss: 3.89666
[INFO] 2021-05-03 21:01:10 > Start Evaluation (26000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:01:10 > Calculating FID Score....
[INFO] 2021-05-03 21:01:23 > Calculating Inception Score....
[INFO] 2021-05-03 21:01:26 > Calculate F_beta Score....
[INFO] 2021-05-03 21:01:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 21:01:41 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 21:01:42 > Calculate Accuracies....
[INFO] 2021-05-03 21:01:44 > Calculate Accuracies....
[INFO] 2021-05-03 21:01:45 > F_8 score (Step: 26000, Using valid images): 0.8537515246047247
[INFO] 2021-05-03 21:01:45 > F_1/8 score (Step: 26000, Using valid images): 0.9724136822362103
[INFO] 2021-05-03 21:01:45 > FID score (Step: 26000, Using valid moments): 26.224089450980273
[INFO] 2021-05-03 21:01:45 > Inception score (Step: 26000, 10000 generated images): 13.300028800964355
[INFO] 2021-05-03 21:01:45 > Best FID score (Step: 26000, Using valid moments): 26.224089450980273
[INFO] 2021-05-03 21:02:01 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:03:14 > Step: 26100 Progress: 13.1% Elapsed: 5:26:02 temperature: 0.75 ada_p: No Discriminator_loss: 6.2139 Generator_loss: 5.02502
[INFO] 2021-05-03 21:04:26 > Step: 26200 Progress: 13.1% Elapsed: 5:27:15 temperature: 0.75 ada_p: No Discriminator_loss: 6.32885 Generator_loss: 4.7395
[INFO] 2021-05-03 21:05:39 > Step: 26300 Progress: 13.2% Elapsed: 5:28:27 temperature: 0.75 ada_p: No Discriminator_loss: 6.42198 Generator_loss: 5.05642
[INFO] 2021-05-03 21:06:52 > Step: 26400 Progress: 13.2% Elapsed: 5:29:40 temperature: 0.75 ada_p: No Discriminator_loss: 6.31754 Generator_loss: 5.72907
[INFO] 2021-05-03 21:08:05 > Step: 26500 Progress: 13.2% Elapsed: 5:30:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.42158 Generator_loss: 4.23803
[INFO] 2021-05-03 21:09:17 > Step: 26600 Progress: 13.3% Elapsed: 5:32:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.19361 Generator_loss: 5.50348
[INFO] 2021-05-03 21:10:29 > Step: 26700 Progress: 13.4% Elapsed: 5:33:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.18993 Generator_loss: 5.07256
[INFO] 2021-05-03 21:11:41 > Step: 26800 Progress: 13.4% Elapsed: 5:34:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.23402 Generator_loss: 5.17837
[INFO] 2021-05-03 21:12:54 > Step: 26900 Progress: 13.5% Elapsed: 5:35:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.25275 Generator_loss: 4.64445
[INFO] 2021-05-03 21:14:07 > Step: 27000 Progress: 13.5% Elapsed: 5:36:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.32985 Generator_loss: 4.4699
[INFO] 2021-05-03 21:15:20 > Step: 27100 Progress: 13.6% Elapsed: 5:38:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.31409 Generator_loss: 4.12393
[INFO] 2021-05-03 21:16:32 > Step: 27200 Progress: 13.6% Elapsed: 5:39:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.27608 Generator_loss: 5.11327
[INFO] 2021-05-03 21:17:44 > Step: 27300 Progress: 13.7% Elapsed: 5:40:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.49587 Generator_loss: 5.34873
[INFO] 2021-05-03 21:18:57 > Step: 27400 Progress: 13.7% Elapsed: 5:41:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.25069 Generator_loss: 4.60777
[INFO] 2021-05-03 21:20:10 > Step: 27500 Progress: 13.8% Elapsed: 5:42:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.34208 Generator_loss: 5.78136
[INFO] 2021-05-03 21:21:23 > Step: 27600 Progress: 13.8% Elapsed: 5:44:11 temperature: 0.75 ada_p: No Discriminator_loss: 6.49886 Generator_loss: 4.98002
[INFO] 2021-05-03 21:22:35 > Step: 27700 Progress: 13.9% Elapsed: 5:45:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.43152 Generator_loss: 3.77471
[INFO] 2021-05-03 21:23:47 > Step: 27800 Progress: 13.9% Elapsed: 5:46:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.26668 Generator_loss: 4.63396
[INFO] 2021-05-03 21:24:59 > Step: 27900 Progress: 14.0% Elapsed: 5:47:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.34688 Generator_loss: 5.5312
[INFO] 2021-05-03 21:26:12 > Step: 28000 Progress: 14.0% Elapsed: 5:49:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.244 Generator_loss: 4.57703
[INFO] 2021-05-03 21:26:12 > Start Evaluation (28000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:26:12 > Calculating FID Score....
[INFO] 2021-05-03 21:26:25 > Calculating Inception Score....
[INFO] 2021-05-03 21:26:28 > Calculate F_beta Score....
[INFO] 2021-05-03 21:26:44 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 21:26:44 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 21:26:44 > Calculate Accuracies....
[INFO] 2021-05-03 21:26:47 > Calculate Accuracies....
[INFO] 2021-05-03 21:26:48 > F_8 score (Step: 28000, Using valid images): 0.877982941412816
[INFO] 2021-05-03 21:26:48 > F_1/8 score (Step: 28000, Using valid images): 0.9727871197245056
[INFO] 2021-05-03 21:26:48 > FID score (Step: 28000, Using valid moments): 24.931481980545243
[INFO] 2021-05-03 21:26:48 > Inception score (Step: 28000, 10000 generated images): 13.817538261413574
[INFO] 2021-05-03 21:26:48 > Best FID score (Step: 28000, Using valid moments): 24.931481980545243
[INFO] 2021-05-03 21:27:04 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:28:17 > Step: 28100 Progress: 14.1% Elapsed: 5:51:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.21831 Generator_loss: 5.47362
[INFO] 2021-05-03 21:29:29 > Step: 28200 Progress: 14.1% Elapsed: 5:52:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.15171 Generator_loss: 5.28283
[INFO] 2021-05-03 21:30:42 > Step: 28300 Progress: 14.1% Elapsed: 5:53:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.42174 Generator_loss: 3.87286
[INFO] 2021-05-03 21:31:54 > Step: 28400 Progress: 14.2% Elapsed: 5:54:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.4984 Generator_loss: 5.415
[INFO] 2021-05-03 21:33:06 > Step: 28500 Progress: 14.2% Elapsed: 5:55:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.55627 Generator_loss: 3.8715
[INFO] 2021-05-03 21:34:18 > Step: 28600 Progress: 14.3% Elapsed: 5:57:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.35896 Generator_loss: 5.58344
[INFO] 2021-05-03 21:35:31 > Step: 28700 Progress: 14.3% Elapsed: 5:58:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.19568 Generator_loss: 4.76237
[INFO] 2021-05-03 21:36:43 > Step: 28800 Progress: 14.4% Elapsed: 5:59:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.23022 Generator_loss: 4.35237
[INFO] 2021-05-03 21:37:55 > Step: 28900 Progress: 14.4% Elapsed: 6:00:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.22241 Generator_loss: 4.54302
[INFO] 2021-05-03 21:39:07 > Step: 29000 Progress: 14.5% Elapsed: 6:01:55 temperature: 0.75 ada_p: No Discriminator_loss: 6.20522 Generator_loss: 5.25573
[INFO] 2021-05-03 21:40:20 > Step: 29100 Progress: 14.5% Elapsed: 6:03:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.39141 Generator_loss: 4.60198
[INFO] 2021-05-03 21:41:33 > Step: 29200 Progress: 14.6% Elapsed: 6:04:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.26113 Generator_loss: 4.08953
[INFO] 2021-05-03 21:42:44 > Step: 29300 Progress: 14.6% Elapsed: 6:05:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.24917 Generator_loss: 5.06038
[INFO] 2021-05-03 21:43:56 > Step: 29400 Progress: 14.7% Elapsed: 6:06:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.1701 Generator_loss: 4.62459
[INFO] 2021-05-03 21:45:08 > Step: 29500 Progress: 14.8% Elapsed: 6:07:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.36373 Generator_loss: 4.0106
[INFO] 2021-05-03 21:46:20 > Step: 29600 Progress: 14.8% Elapsed: 6:09:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.26655 Generator_loss: 4.3441
[INFO] 2021-05-03 21:47:32 > Step: 29700 Progress: 14.8% Elapsed: 6:10:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.23667 Generator_loss: 4.53212
[INFO] 2021-05-03 21:48:44 > Step: 29800 Progress: 14.9% Elapsed: 6:11:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.1653 Generator_loss: 5.00599
[INFO] 2021-05-03 21:49:55 > Step: 29900 Progress: 14.9% Elapsed: 6:12:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.27848 Generator_loss: 4.78419
[INFO] 2021-05-03 21:51:07 > Step: 30000 Progress: 15.0% Elapsed: 6:13:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.34507 Generator_loss: 5.60829
[INFO] 2021-05-03 21:51:07 > Start Evaluation (30000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:51:07 > Calculating FID Score....
[INFO] 2021-05-03 21:51:21 > Calculating Inception Score....
[INFO] 2021-05-03 21:51:23 > Calculate F_beta Score....
[INFO] 2021-05-03 21:51:38 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 21:51:39 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 21:51:39 > Calculate Accuracies....
[INFO] 2021-05-03 21:51:42 > Calculate Accuracies....
[INFO] 2021-05-03 21:51:43 > F_8 score (Step: 30000, Using valid images): 0.8933697556108596
[INFO] 2021-05-03 21:51:43 > F_1/8 score (Step: 30000, Using valid images): 0.9772658036533616
[INFO] 2021-05-03 21:51:43 > FID score (Step: 30000, Using valid moments): 23.64235869531683
[INFO] 2021-05-03 21:51:43 > Inception score (Step: 30000, 10000 generated images): 14.093289375305176
[INFO] 2021-05-03 21:51:43 > Best FID score (Step: 30000, Using valid moments): 23.64235869531683
[INFO] 2021-05-03 21:51:59 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 21:53:12 > Step: 30100 Progress: 15.0% Elapsed: 6:16:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.26354 Generator_loss: 4.86208
[INFO] 2021-05-03 21:54:24 > Step: 30200 Progress: 15.1% Elapsed: 6:17:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.30311 Generator_loss: 4.33797
[INFO] 2021-05-03 21:55:36 > Step: 30300 Progress: 15.2% Elapsed: 6:18:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.21305 Generator_loss: 5.54047
[INFO] 2021-05-03 21:56:49 > Step: 30400 Progress: 15.2% Elapsed: 6:19:37 temperature: 0.75 ada_p: No Discriminator_loss: 6.15268 Generator_loss: 4.82724
[INFO] 2021-05-03 21:58:01 > Step: 30500 Progress: 15.2% Elapsed: 6:20:49 temperature: 0.75 ada_p: No Discriminator_loss: 6.13097 Generator_loss: 4.32704
[INFO] 2021-05-03 21:59:13 > Step: 30600 Progress: 15.3% Elapsed: 6:22:01 temperature: 0.75 ada_p: No Discriminator_loss: 6.30634 Generator_loss: 4.05956
[INFO] 2021-05-03 22:00:26 > Step: 30700 Progress: 15.3% Elapsed: 6:23:14 temperature: 0.75 ada_p: No Discriminator_loss: 6.10309 Generator_loss: 5.38232
[INFO] 2021-05-03 22:01:38 > Step: 30800 Progress: 15.4% Elapsed: 6:24:26 temperature: 0.75 ada_p: No Discriminator_loss: 6.20094 Generator_loss: 4.55131
[INFO] 2021-05-03 22:02:51 > Step: 30900 Progress: 15.4% Elapsed: 6:25:39 temperature: 0.75 ada_p: No Discriminator_loss: 6.27605 Generator_loss: 5.35374
[INFO] 2021-05-03 22:04:04 > Step: 31000 Progress: 15.5% Elapsed: 6:26:52 temperature: 0.75 ada_p: No Discriminator_loss: 6.18975 Generator_loss: 5.20091
[INFO] 2021-05-03 22:05:17 > Step: 31100 Progress: 15.6% Elapsed: 6:28:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.2689 Generator_loss: 4.62708
[INFO] 2021-05-03 22:06:30 > Step: 31200 Progress: 15.6% Elapsed: 6:29:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.39068 Generator_loss: 5.28201
[INFO] 2021-05-03 22:07:43 > Step: 31300 Progress: 15.7% Elapsed: 6:30:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.19237 Generator_loss: 4.13176
[INFO] 2021-05-03 22:08:56 > Step: 31400 Progress: 15.7% Elapsed: 6:31:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.11928 Generator_loss: 4.59147
[INFO] 2021-05-03 22:10:08 > Step: 31500 Progress: 15.8% Elapsed: 6:32:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.4555 Generator_loss: 5.05799
[INFO] 2021-05-03 22:11:20 > Step: 31600 Progress: 15.8% Elapsed: 6:34:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.36017 Generator_loss: 4.05475
[INFO] 2021-05-03 22:12:32 > Step: 31700 Progress: 15.8% Elapsed: 6:35:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.26639 Generator_loss: 5.12706
[INFO] 2021-05-03 22:13:45 > Step: 31800 Progress: 15.9% Elapsed: 6:36:33 temperature: 0.75 ada_p: No Discriminator_loss: 6.25558 Generator_loss: 5.24462
[INFO] 2021-05-03 22:14:58 > Step: 31900 Progress: 16.0% Elapsed: 6:37:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.21597 Generator_loss: 5.68662
[INFO] 2021-05-03 22:16:10 > Step: 32000 Progress: 16.0% Elapsed: 6:38:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.14597 Generator_loss: 4.70482
[INFO] 2021-05-03 22:16:10 > Start Evaluation (32000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 22:16:10 > Calculating FID Score....
[INFO] 2021-05-03 22:16:23 > Calculating Inception Score....
[INFO] 2021-05-03 22:16:26 > Calculate F_beta Score....
[INFO] 2021-05-03 22:16:54 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 22:16:55 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 22:16:55 > Calculate Accuracies....
[INFO] 2021-05-03 22:16:57 > Calculate Accuracies....
[INFO] 2021-05-03 22:16:59 > F_8 score (Step: 32000, Using valid images): 0.9030297068961892
[INFO] 2021-05-03 22:16:59 > F_1/8 score (Step: 32000, Using valid images): 0.9783512383502505
[INFO] 2021-05-03 22:16:59 > FID score (Step: 32000, Using valid moments): 22.682588956985228
[INFO] 2021-05-03 22:16:59 > Inception score (Step: 32000, 10000 generated images): 14.721280097961426
[INFO] 2021-05-03 22:16:59 > Best FID score (Step: 32000, Using valid moments): 22.682588956985228
[INFO] 2021-05-03 22:17:15 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 22:18:32 > Step: 32100 Progress: 16.1% Elapsed: 6:41:20 temperature: 0.75 ada_p: No Discriminator_loss: 6.07855 Generator_loss: 4.59166
[INFO] 2021-05-03 22:19:44 > Step: 32200 Progress: 16.1% Elapsed: 6:42:32 temperature: 0.75 ada_p: No Discriminator_loss: 6.1807 Generator_loss: 5.12944
[INFO] 2021-05-03 22:20:57 > Step: 32300 Progress: 16.2% Elapsed: 6:43:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.21001 Generator_loss: 4.61113
[INFO] 2021-05-03 22:22:10 > Step: 32400 Progress: 16.2% Elapsed: 6:44:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.14204 Generator_loss: 5.63082
[INFO] 2021-05-03 22:23:22 > Step: 32500 Progress: 16.2% Elapsed: 6:46:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.21456 Generator_loss: 5.20399
[INFO] 2021-05-03 22:24:35 > Step: 32600 Progress: 16.3% Elapsed: 6:47:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.45235 Generator_loss: 5.38891
[INFO] 2021-05-03 22:25:47 > Step: 32700 Progress: 16.4% Elapsed: 6:48:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.24118 Generator_loss: 5.21318
[INFO] 2021-05-03 22:26:59 > Step: 32800 Progress: 16.4% Elapsed: 6:49:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.53931 Generator_loss: 5.4761
[INFO] 2021-05-03 22:28:12 > Step: 32900 Progress: 16.4% Elapsed: 6:51:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.12495 Generator_loss: 5.55012
[INFO] 2021-05-03 22:29:25 > Step: 33000 Progress: 16.5% Elapsed: 6:52:13 temperature: 0.75 ada_p: No Discriminator_loss: 6.17759 Generator_loss: 4.03561
[INFO] 2021-05-03 22:30:38 > Step: 33100 Progress: 16.6% Elapsed: 6:53:26 temperature: 0.75 ada_p: No Discriminator_loss: 6.29226 Generator_loss: 5.31964
[INFO] 2021-05-03 22:31:51 > Step: 33200 Progress: 16.6% Elapsed: 6:54:39 temperature: 0.75 ada_p: No Discriminator_loss: 6.06232 Generator_loss: 5.35541
[INFO] 2021-05-03 22:33:04 > Step: 33300 Progress: 16.7% Elapsed: 6:55:52 temperature: 0.75 ada_p: No Discriminator_loss: 6.15455 Generator_loss: 5.51555
[INFO] 2021-05-03 22:34:17 > Step: 33400 Progress: 16.7% Elapsed: 6:57:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.08423 Generator_loss: 4.8456
[INFO] 2021-05-03 22:35:29 > Step: 33500 Progress: 16.8% Elapsed: 6:58:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.10885 Generator_loss: 5.46038
[INFO] 2021-05-03 22:36:42 > Step: 33600 Progress: 16.8% Elapsed: 6:59:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.02809 Generator_loss: 5.55775
[INFO] 2021-05-03 22:37:55 > Step: 33700 Progress: 16.9% Elapsed: 7:00:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.18523 Generator_loss: 4.23234
[INFO] 2021-05-03 22:39:08 > Step: 33800 Progress: 16.9% Elapsed: 7:01:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.42352 Generator_loss: 5.36651
[INFO] 2021-05-03 22:40:20 > Step: 33900 Progress: 17.0% Elapsed: 7:03:08 temperature: 0.75 ada_p: No Discriminator_loss: 6.204 Generator_loss: 5.48085
[INFO] 2021-05-03 22:41:33 > Step: 34000 Progress: 17.0% Elapsed: 7:04:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.09435 Generator_loss: 5.25771
[INFO] 2021-05-03 22:41:33 > Start Evaluation (34000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 22:41:33 > Calculating FID Score....
[INFO] 2021-05-03 22:41:46 > Calculating Inception Score....
[INFO] 2021-05-03 22:41:49 > Calculate F_beta Score....
[INFO] 2021-05-03 22:42:04 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 22:42:04 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 22:42:05 > Calculate Accuracies....
[INFO] 2021-05-03 22:42:07 > Calculate Accuracies....
[INFO] 2021-05-03 22:42:08 > F_8 score (Step: 34000, Using valid images): 0.9111472695562762
[INFO] 2021-05-03 22:42:08 > F_1/8 score (Step: 34000, Using valid images): 0.9797477840915305
[INFO] 2021-05-03 22:42:08 > FID score (Step: 34000, Using valid moments): 21.60026623154579
[INFO] 2021-05-03 22:42:08 > Inception score (Step: 34000, 10000 generated images): 15.181774139404297
[INFO] 2021-05-03 22:42:08 > Best FID score (Step: 34000, Using valid moments): 21.60026623154579
[INFO] 2021-05-03 22:42:24 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 22:43:37 > Step: 34100 Progress: 17.1% Elapsed: 7:06:25 temperature: 0.75 ada_p: No Discriminator_loss: 6.25148 Generator_loss: 4.09318
[INFO] 2021-05-03 22:44:50 > Step: 34200 Progress: 17.1% Elapsed: 7:07:38 temperature: 0.75 ada_p: No Discriminator_loss: 6.29443 Generator_loss: 5.84709
[INFO] 2021-05-03 22:46:03 > Step: 34300 Progress: 17.2% Elapsed: 7:08:51 temperature: 0.75 ada_p: No Discriminator_loss: 6.10826 Generator_loss: 4.90583
[INFO] 2021-05-03 22:47:15 > Step: 34400 Progress: 17.2% Elapsed: 7:10:03 temperature: 0.75 ada_p: No Discriminator_loss: 6.09772 Generator_loss: 4.18369
[INFO] 2021-05-03 22:48:28 > Step: 34500 Progress: 17.2% Elapsed: 7:11:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.15723 Generator_loss: 4.30479
[INFO] 2021-05-03 22:49:40 > Step: 34600 Progress: 17.3% Elapsed: 7:12:28 temperature: 0.75 ada_p: No Discriminator_loss: 6.19607 Generator_loss: 4.52241
[INFO] 2021-05-03 22:50:52 > Step: 34700 Progress: 17.3% Elapsed: 7:13:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.0552 Generator_loss: 5.19895
[INFO] 2021-05-03 22:52:05 > Step: 34800 Progress: 17.4% Elapsed: 7:14:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.16432 Generator_loss: 4.91488
[INFO] 2021-05-03 22:53:18 > Step: 34900 Progress: 17.4% Elapsed: 7:16:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.17759 Generator_loss: 5.38481
[INFO] 2021-05-03 22:54:30 > Step: 35000 Progress: 17.5% Elapsed: 7:17:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.04166 Generator_loss: 4.54845
[INFO] 2021-05-03 22:55:42 > Step: 35100 Progress: 17.5% Elapsed: 7:18:30 temperature: 0.75 ada_p: No Discriminator_loss: 6.06645 Generator_loss: 4.68205
[INFO] 2021-05-03 22:56:55 > Step: 35200 Progress: 17.6% Elapsed: 7:19:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.28642 Generator_loss: 4.41268
[INFO] 2021-05-03 22:58:08 > Step: 35300 Progress: 17.6% Elapsed: 7:20:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.10971 Generator_loss: 5.36968
[INFO] 2021-05-03 22:59:21 > Step: 35400 Progress: 17.7% Elapsed: 7:22:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.10689 Generator_loss: 5.32955
[INFO] 2021-05-03 23:00:33 > Step: 35500 Progress: 17.8% Elapsed: 7:23:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.12117 Generator_loss: 5.48689
[INFO] 2021-05-03 23:01:47 > Step: 35600 Progress: 17.8% Elapsed: 7:24:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.031 Generator_loss: 4.83004
[INFO] 2021-05-03 23:03:00 > Step: 35700 Progress: 17.8% Elapsed: 7:25:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.34556 Generator_loss: 5.44787
[INFO] 2021-05-03 23:04:12 > Step: 35800 Progress: 17.9% Elapsed: 7:27:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.03653 Generator_loss: 4.99922
[INFO] 2021-05-03 23:05:25 > Step: 35900 Progress: 17.9% Elapsed: 7:28:13 temperature: 0.75 ada_p: No Discriminator_loss: 5.98374 Generator_loss: 5.27206
[INFO] 2021-05-03 23:06:36 > Step: 36000 Progress: 18.0% Elapsed: 7:29:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.17751 Generator_loss: 5.59631
[INFO] 2021-05-03 23:06:36 > Start Evaluation (36000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:06:36 > Calculating FID Score....
[INFO] 2021-05-03 23:06:49 > Calculating Inception Score....
[INFO] 2021-05-03 23:06:52 > Calculate F_beta Score....
[INFO] 2021-05-03 23:07:08 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 23:07:08 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 23:07:09 > Calculate Accuracies....
[INFO] 2021-05-03 23:07:11 > Calculate Accuracies....
[INFO] 2021-05-03 23:07:12 > F_8 score (Step: 36000, Using valid images): 0.9181237785619957
[INFO] 2021-05-03 23:07:12 > F_1/8 score (Step: 36000, Using valid images): 0.9823432082339818
[INFO] 2021-05-03 23:07:12 > FID score (Step: 36000, Using valid moments): 20.979096886277205
[INFO] 2021-05-03 23:07:12 > Inception score (Step: 36000, 10000 generated images): 15.10793685913086
[INFO] 2021-05-03 23:07:12 > Best FID score (Step: 36000, Using valid moments): 20.979096886277205
[INFO] 2021-05-03 23:07:28 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:08:41 > Step: 36100 Progress: 18.1% Elapsed: 7:31:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.24409 Generator_loss: 5.37825
[INFO] 2021-05-03 23:09:53 > Step: 36200 Progress: 18.1% Elapsed: 7:32:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.10432 Generator_loss: 5.35444
[INFO] 2021-05-03 23:11:05 > Step: 36300 Progress: 18.1% Elapsed: 7:33:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.36472 Generator_loss: 5.61565
[INFO] 2021-05-03 23:12:17 > Step: 36400 Progress: 18.2% Elapsed: 7:35:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.14665 Generator_loss: 5.70609
[INFO] 2021-05-03 23:13:29 > Step: 36500 Progress: 18.2% Elapsed: 7:36:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.19536 Generator_loss: 5.41918
[INFO] 2021-05-03 23:14:41 > Step: 36600 Progress: 18.3% Elapsed: 7:37:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.07715 Generator_loss: 4.77823
[INFO] 2021-05-03 23:15:53 > Step: 36700 Progress: 18.4% Elapsed: 7:38:41 temperature: 0.75 ada_p: No Discriminator_loss: 6.2435 Generator_loss: 4.82836
[INFO] 2021-05-03 23:17:05 > Step: 36800 Progress: 18.4% Elapsed: 7:39:53 temperature: 0.75 ada_p: No Discriminator_loss: 6.03296 Generator_loss: 4.28765
[INFO] 2021-05-03 23:18:17 > Step: 36900 Progress: 18.4% Elapsed: 7:41:05 temperature: 0.75 ada_p: No Discriminator_loss: 6.05592 Generator_loss: 5.48323
[INFO] 2021-05-03 23:19:29 > Step: 37000 Progress: 18.5% Elapsed: 7:42:17 temperature: 0.75 ada_p: No Discriminator_loss: 6.05371 Generator_loss: 4.37267
[INFO] 2021-05-03 23:20:41 > Step: 37100 Progress: 18.6% Elapsed: 7:43:29 temperature: 0.75 ada_p: No Discriminator_loss: 6.29561 Generator_loss: 5.36965
[INFO] 2021-05-03 23:21:54 > Step: 37200 Progress: 18.6% Elapsed: 7:44:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.11394 Generator_loss: 4.84352
[INFO] 2021-05-03 23:23:06 > Step: 37300 Progress: 18.6% Elapsed: 7:45:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.09774 Generator_loss: 5.56549
[INFO] 2021-05-03 23:24:18 > Step: 37400 Progress: 18.7% Elapsed: 7:47:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.16595 Generator_loss: 4.88368
[INFO] 2021-05-03 23:25:30 > Step: 37500 Progress: 18.8% Elapsed: 7:48:19 temperature: 0.75 ada_p: No Discriminator_loss: 6.27645 Generator_loss: 5.70498
[INFO] 2021-05-03 23:26:43 > Step: 37600 Progress: 18.8% Elapsed: 7:49:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.20531 Generator_loss: 4.89002
[INFO] 2021-05-03 23:27:55 > Step: 37700 Progress: 18.9% Elapsed: 7:50:43 temperature: 0.75 ada_p: No Discriminator_loss: 6.29009 Generator_loss: 4.40691
[INFO] 2021-05-03 23:29:08 > Step: 37800 Progress: 18.9% Elapsed: 7:51:56 temperature: 0.75 ada_p: No Discriminator_loss: 6.15916 Generator_loss: 3.69636
[INFO] 2021-05-03 23:30:20 > Step: 37900 Progress: 18.9% Elapsed: 7:53:09 temperature: 0.75 ada_p: No Discriminator_loss: 6.1685 Generator_loss: 4.73404
[INFO] 2021-05-03 23:31:33 > Step: 38000 Progress: 19.0% Elapsed: 7:54:21 temperature: 0.75 ada_p: No Discriminator_loss: 6.00872 Generator_loss: 4.99474
[INFO] 2021-05-03 23:31:33 > Start Evaluation (38000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:31:33 > Calculating FID Score....
[INFO] 2021-05-03 23:31:46 > Calculating Inception Score....
[INFO] 2021-05-03 23:31:48 > Calculate F_beta Score....
[INFO] 2021-05-03 23:32:19 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 23:32:19 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 23:32:20 > Calculate Accuracies....
[INFO] 2021-05-03 23:32:22 > Calculate Accuracies....
[INFO] 2021-05-03 23:32:24 > F_8 score (Step: 38000, Using valid images): 0.9324754344184282
[INFO] 2021-05-03 23:32:24 > F_1/8 score (Step: 38000, Using valid images): 0.9815952838877107
[INFO] 2021-05-03 23:32:24 > FID score (Step: 38000, Using valid moments): 20.044198276020836
[INFO] 2021-05-03 23:32:24 > Inception score (Step: 38000, 10000 generated images): 15.791817665100098
[INFO] 2021-05-03 23:32:24 > Best FID score (Step: 38000, Using valid moments): 20.044198276020836
[INFO] 2021-05-03 23:32:44 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:33:57 > Step: 38100 Progress: 19.1% Elapsed: 7:56:45 temperature: 0.75 ada_p: No Discriminator_loss: 6.08206 Generator_loss: 5.52947
[INFO] 2021-05-03 23:35:09 > Step: 38200 Progress: 19.1% Elapsed: 7:57:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.43136 Generator_loss: 5.00412
[INFO] 2021-05-03 23:36:22 > Step: 38300 Progress: 19.1% Elapsed: 7:59:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.06853 Generator_loss: 5.52249
[INFO] 2021-05-03 23:37:34 > Step: 38400 Progress: 19.2% Elapsed: 8:00:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.19177 Generator_loss: 5.35193
[INFO] 2021-05-03 23:38:46 > Step: 38500 Progress: 19.2% Elapsed: 8:01:34 temperature: 0.75 ada_p: No Discriminator_loss: 6.12988 Generator_loss: 4.45781
[INFO] 2021-05-03 23:39:58 > Step: 38600 Progress: 19.3% Elapsed: 8:02:46 temperature: 0.75 ada_p: No Discriminator_loss: 6.19101 Generator_loss: 4.01314
[INFO] 2021-05-03 23:41:10 > Step: 38700 Progress: 19.4% Elapsed: 8:03:58 temperature: 0.75 ada_p: No Discriminator_loss: 6.16499 Generator_loss: 5.54019
[INFO] 2021-05-03 23:42:22 > Step: 38800 Progress: 19.4% Elapsed: 8:05:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.04883 Generator_loss: 5.25923
[INFO] 2021-05-03 23:43:35 > Step: 38900 Progress: 19.4% Elapsed: 8:06:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.31268 Generator_loss: 5.46233
[INFO] 2021-05-03 23:44:47 > Step: 39000 Progress: 19.5% Elapsed: 8:07:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.2293 Generator_loss: 4.19369
[INFO] 2021-05-03 23:46:00 > Step: 39100 Progress: 19.6% Elapsed: 8:08:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.04586 Generator_loss: 4.99039
[INFO] 2021-05-03 23:47:11 > Step: 39200 Progress: 19.6% Elapsed: 8:10:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.05281 Generator_loss: 5.66238
[INFO] 2021-05-03 23:48:24 > Step: 39300 Progress: 19.7% Elapsed: 8:11:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.08176 Generator_loss: 4.44053
[INFO] 2021-05-03 23:49:36 > Step: 39400 Progress: 19.7% Elapsed: 8:12:24 temperature: 0.75 ada_p: No Discriminator_loss: 6.02582 Generator_loss: 4.5111
[INFO] 2021-05-03 23:50:48 > Step: 39500 Progress: 19.8% Elapsed: 8:13:36 temperature: 0.75 ada_p: No Discriminator_loss: 5.98643 Generator_loss: 5.42645
[INFO] 2021-05-03 23:52:00 > Step: 39600 Progress: 19.8% Elapsed: 8:14:48 temperature: 0.75 ada_p: No Discriminator_loss: 6.12924 Generator_loss: 5.05002
[INFO] 2021-05-03 23:53:12 > Step: 39700 Progress: 19.9% Elapsed: 8:16:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.08309 Generator_loss: 5.08313
[INFO] 2021-05-03 23:54:24 > Step: 39800 Progress: 19.9% Elapsed: 8:17:12 temperature: 0.75 ada_p: No Discriminator_loss: 5.98244 Generator_loss: 4.46276
[INFO] 2021-05-03 23:55:35 > Step: 39900 Progress: 20.0% Elapsed: 8:18:23 temperature: 0.75 ada_p: No Discriminator_loss: 6.06566 Generator_loss: 5.57107
[INFO] 2021-05-03 23:56:47 > Step: 40000 Progress: 20.0% Elapsed: 8:19:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.35538 Generator_loss: 4.88027
[INFO] 2021-05-03 23:56:47 > Start Evaluation (40000 Step): CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:56:47 > Calculating FID Score....
[INFO] 2021-05-03 23:57:01 > Calculating Inception Score....
[INFO] 2021-05-03 23:57:03 > Calculate F_beta Score....
[INFO] 2021-05-03 23:57:20 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/pr_curve.png
[INFO] 2021-05-03 23:57:20 > Save image to ./figures/CCMGAN-train-2021_05_03_15_36_29/sim_heatmap.png
[INFO] 2021-05-03 23:57:21 > Calculate Accuracies....
[INFO] 2021-05-03 23:57:23 > Calculate Accuracies....
[INFO] 2021-05-03 23:57:25 > F_8 score (Step: 40000, Using valid images): 0.931829110381967
[INFO] 2021-05-03 23:57:25 > F_1/8 score (Step: 40000, Using valid images): 0.9846695749262119
[INFO] 2021-05-03 23:57:25 > FID score (Step: 40000, Using valid moments): 19.518446522456088
[INFO] 2021-05-03 23:57:25 > Inception score (Step: 40000, 10000 generated images): 15.974294662475586
[INFO] 2021-05-03 23:57:25 > Best FID score (Step: 40000, Using valid moments): 19.518446522456088
[INFO] 2021-05-03 23:57:40 > Save model to checkpoints/CCMGAN-train-2021_05_03_15_36_29
[INFO] 2021-05-03 23:58:53 > Step: 40100 Progress: 20.1% Elapsed: 8:21:41 temperature: 0.75 ada_p: No Discriminator_loss: 5.95367 Generator_loss: 5.45784
[INFO] 2021-05-04 00:00:06 > Step: 40200 Progress: 20.1% Elapsed: 8:22:54 temperature: 0.75 ada_p: No Discriminator_loss: 6.10837 Generator_loss: 5.18788
[INFO] 2021-05-04 00:01:18 > Step: 40300 Progress: 20.2% Elapsed: 8:24:06 temperature: 0.75 ada_p: No Discriminator_loss: 6.08823 Generator_loss: 5.39285
[INFO] 2021-05-04 00:02:30 > Step: 40400 Progress: 20.2% Elapsed: 8:25:18 temperature: 0.75 ada_p: No Discriminator_loss: 6.22274 Generator_loss: 5.26019
[INFO] 2021-05-04 00:03:43 > Step: 40500 Progress: 20.2% Elapsed: 8:26:31 temperature: 0.75 ada_p: No Discriminator_loss: 6.09168 Generator_loss: 4.63827
[INFO] 2021-05-04 00:04:56 > Step: 40600 Progress: 20.3% Elapsed: 8:27:44 temperature: 0.75 ada_p: No Discriminator_loss: 6.07959 Generator_loss: 4.6578
[INFO] 2021-05-04 00:06:09 > Step: 40700 Progress: 20.3% Elapsed: 8:28:57 temperature: 0.75 ada_p: No Discriminator_loss: 6.03284 Generator_loss: 4.62323
[INFO] 2021-05-04 00:07:22 > Step: 40800 Progress: 20.4% Elapsed: 8:30:10 temperature: 0.75 ada_p: No Discriminator_loss: 6.07001 Generator_loss: 5.4973
[INFO] 2021-05-04 00:08:34 > Step: 40900 Progress: 20.4% Elapsed: 8:31:22 temperature: 0.75 ada_p: No Discriminator_loss: 6.22834 Generator_loss: 5.62796
[INFO] 2021-05-04 00:09:46 > Step: 41000 Progress: 20.5% Elapsed: 8:32:35 temperature: 0.75 ada_p: No Discriminator_loss: 6.04119 Generator_loss: 4.49775
[INFO] 2021-05-04 00:10:59 > Step: 41100 Progress: 20.5% Elapsed: 8:33:47 temperature: 0.75 ada_p: No Discriminator_loss: 6.0178 Generator_loss: 4.07859
[INFO] 2021-05-04 00:12:12 > Step: 41200 Progress: 20.6% Elapsed: 8:35:00 temperature: 0.75 ada_p: No Discriminator_loss: 6.10582 Generator_loss: 4.81571
[INFO] 2021-05-04 00:13:24 > Step: 41300 Progress: 20.6% Elapsed: 8:36:12 temperature: 0.75 ada_p: No Discriminator_loss: 6.25614 Generator_loss: 4.12977
[INFO] 2021-05-04 00:14:37 > Step: 41400 Progress: 20.7% Elapsed: 8:37:25 temperature: 0.75 ada_p: No Discriminator_loss: 6.07849 Generator_loss: 5.25757
[INFO] 2021-05-04 00:15:50 > Step: 41500 Progress: 20.8% Elapsed: 8:38:38 temperature: 0.75 ada_p: No Discriminator_loss: 5.96799 Generator_loss: 3.97948
[INFO] 2021-05-04 00:17:03 > Step: 41600 Progress: 20.8% Elapsed: 8:39:51 temperature: 0.75 ada_p: No Discriminator_loss: 5.97112 Generator_loss: 4.73283
[INFO] 2021-05-04 00:18:15 > Step: 41700 Progress: 20.8% Elapsed: 8:41:03 temperature: 0.75 ada_p: No Discriminator_loss: 6.20974 Generator_loss: 5.3991
[INFO] 2021-05-04 00:19:28 > Step: 41800 Progress: 20.9% Elapsed: 8:42:16 temperature: 0.75 ada_p: No Discriminator_loss: 6.23581 Generator_loss: 5.24054
[INFO] 2021-05-04 00:20:41 > Step: 41900 Progress: 20.9% Elapsed: 8:43:29 temperature: 0.75 ada_p: No Discriminator_loss: 5.98294 Generator_loss: 5.40456
[INFO] 2021-05-04 00:21:54 > Step: 42000 Progress: 21.0% Elapsed: 8:44:42 temperature: 0.75 ada_p: No Discriminator_loss: 6.23076 Generator_loss: 4.17849
[INFO] 2021-05-04 00:21:54 > Start Evaluation (42000 Step): CCMGAN-train-2021_05_03_15_36_29