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CCMGAN2048-train-2021_06_22_06_11_37.log
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CCMGAN2048-train-2021_06_22_06_11_37.log
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[INFO] 2021-06-22 06:11:37 > Run name : CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-22 06:11:37 > {
"config_path": "src/configs/ILSVRC2012/CCMGAN2048.json",
"checkpoint_folder": null,
"load_current": false,
"log_output_path": null,
"distributed_data_parallel": false,
"nodes": 1,
"nr": 0,
"seed": 3611,
"num_workers": 8,
"synchronized_bn": true,
"mixed_precision": false,
"LARS_optimizer": false,
"disable_debugging_API": true,
"reduce_train_dataset": 1.0,
"neg_drop_rate": 0.0,
"bn_stat_OnTheFly": false,
"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,
"intra_class_FID": false,
"nrow": 10,
"ncol": 8,
"print_every": 100,
"save_every": 2000,
"eval_type": "valid",
"eval_backbone": "Inception_V3"
}
[INFO] 2021-06-22 06:11:37 > {
"data_processing": {
"dataset_name": "imagenet",
"data_path": "./data/ILSVRC2012",
"img_size": 128,
"num_classes": 1000,
"batch_size4prcsing": 256,
"chunk_size": 500,
"compression": false
},
"train": {
"model": {
"architecture": "big_resnet",
"conditional_strategy": "CCMGAN",
"pos_collected_numerator": false,
"hypersphere_dim": 2048,
"bottleneck_dim": 512,
"nonlinear_embed": true,
"normalize_embed": true,
"g_spectral_norm": true,
"d_spectral_norm": true,
"activation_fn": "ReLU",
"attention": true,
"attention_after_nth_gen_block": 4,
"attention_after_nth_dis_block": 1,
"z_dim": 120,
"shared_dim": 128,
"g_conv_dim": 96,
"d_conv_dim": 96,
"G_depth": "N/A",
"D_depth": "N/A"
},
"optimization": {
"optimizer": "Adam",
"batch_size": 512,
"accumulation_steps": 4,
"d_lr": 0.0002,
"g_lr": 5e-05,
"momentum": "N/A",
"nesterov": "N/A",
"alpha": "N/A",
"beta1": 0.0,
"beta2": 0.999,
"g_steps_per_iter": 1,
"d_steps_per_iter": 2,
"total_step": 200000
},
"loss_function": {
"adv_loss": "hinge",
"contrastive_lambda": 0.5,
"margin": 0.9,
"tempering_type": "constant",
"tempering_step": "N/A",
"start_temperature": 0.25,
"end_temperature": 0.25,
"weight_clipping_for_dis": false,
"weight_clipping_bound": "N/A",
"gradient_penalty_for_dis": false,
"gradient_penalty_lambda": "N/A",
"deep_regret_analysis_for_dis": false,
"regret_penalty_lambda": "N/A",
"cr": false,
"cr_lambda": "N/A",
"bcr": false,
"real_lambda": "N/A",
"fake_lambda": "N/A",
"zcr": false,
"gen_lambda": "N/A",
"dis_lambda": "N/A",
"sigma_noise": "N/A"
},
"initialization": {
"g_init": "ortho",
"d_init": "ortho"
},
"training_and_sampling_setting": {
"random_flip_preprocessing": true,
"diff_aug": false,
"ada": false,
"ada_target": "N/A",
"ada_length": "N/A",
"prior": "gaussian",
"truncated_factor": 1,
"latent_op": false,
"latent_op_rate": "N/A",
"latent_op_step": "N/A",
"latent_op_step4eval": "N/A",
"latent_op_alpha": "N/A",
"latent_op_beta": "N/A",
"latent_norm_reg_weight": "N/A",
"ema": true,
"ema_decay": 0.9999,
"ema_start": 20000
}
}
}
[INFO] 2021-06-22 06:11:37 > Load train datasets...
[INFO] 2021-06-22 06:13:43 > Train dataset size : 1281167
[INFO] 2021-06-22 06:13:43 > Load valid datasets...
[INFO] 2021-06-22 06:13:44 > Eval dataset size : 50000
[INFO] 2021-06-22 06:13:44 > Build model...
[INFO] 2021-06-22 06:13:44 > Modules are located on models.big_resnet.
[INFO] 2021-06-22 06:13:52 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-06-22 06:13:52 > Number of parameters: 70433988
[INFO] 2021-06-22 06:13:52 > Generator(
(linear0): Linear(in_features=20, out_features=24576, bias=True)
(shared): Embedding(1000, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1536, 1536, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(768, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=768, bias=False)
(bias): Linear(in_features=148, out_features=768, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1536, 768, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1536, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(768, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=768, bias=False)
(bias): Linear(in_features=148, out_features=768, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(768, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(768, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(192, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=192, bias=False)
(bias): Linear(in_features=148, out_features=192, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(4): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(5): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(192, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=192, bias=False)
(bias): Linear(in_features=148, out_features=192, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=96, bias=False)
(bias): Linear(in_features=148, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(96, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-06-22 06:13:52 > Number of parameters: 93741858
[INFO] 2021-06-22 06:13:52 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(96, 96, 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(96, 12, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(96, 12, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(96, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(48, 96, 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(96, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(96, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 768, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(768, 768, 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(768, 1536, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(768, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(6): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, 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=1536, out_features=1, bias=True)
(linear2): Linear(in_features=1536, out_features=2048, bias=True)
(convert_head0): Linear(in_features=2048, out_features=512, bias=True)
(convert_head1): Linear(in_features=512, out_features=2048, bias=True)
(embedding): Embedding(1000, 2048)
)
[INFO] 2021-06-22 06:13:55 > Start training....
[INFO] 2021-06-22 06:33:53 > Step: 100 Progress: 0.1% Elapsed: 0:19:57 temperature: 0.25 ada_p: No Discriminator_loss: 1.25404 Generator_loss: 0.868336
[INFO] 2021-06-22 06:53:00 > Step: 200 Progress: 0.1% Elapsed: 0:39:05 temperature: 0.25 ada_p: No Discriminator_loss: 1.11943 Generator_loss: 0.943885
[INFO] 2021-06-22 07:12:10 > Step: 300 Progress: 0.1% Elapsed: 0:58:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.97431 Generator_loss: 0.443613
[INFO] 2021-06-22 07:31:23 > Step: 400 Progress: 0.2% Elapsed: 1:17:28 temperature: 0.25 ada_p: No Discriminator_loss: 1.08837 Generator_loss: 0.957779
[INFO] 2021-06-22 07:50:33 > Step: 500 Progress: 0.2% Elapsed: 1:36:38 temperature: 0.25 ada_p: No Discriminator_loss: 1.15899 Generator_loss: 0.603825
[INFO] 2021-06-22 08:09:45 > Step: 600 Progress: 0.3% Elapsed: 1:55:49 temperature: 0.25 ada_p: No Discriminator_loss: 1.02714 Generator_loss: 1.02104
[INFO] 2021-06-22 08:29:02 > Step: 700 Progress: 0.4% Elapsed: 2:15:07 temperature: 0.25 ada_p: No Discriminator_loss: 1.11519 Generator_loss: 0.921492
[INFO] 2021-06-22 08:48:15 > Step: 800 Progress: 0.4% Elapsed: 2:34:19 temperature: 0.25 ada_p: No Discriminator_loss: 1.04227 Generator_loss: 0.781352
[INFO] 2021-06-22 09:07:27 > Step: 900 Progress: 0.4% Elapsed: 2:53:31 temperature: 0.25 ada_p: No Discriminator_loss: 1.06966 Generator_loss: 0.805407
[INFO] 2021-06-22 09:26:45 > Step: 1000 Progress: 0.5% Elapsed: 3:12:49 temperature: 0.25 ada_p: No Discriminator_loss: 1.04395 Generator_loss: 0.682764
[INFO] 2021-06-22 09:45:58 > Step: 1100 Progress: 0.5% Elapsed: 3:32:03 temperature: 0.25 ada_p: No Discriminator_loss: 1.07431 Generator_loss: 0.79342
[INFO] 2021-06-22 10:05:11 > Step: 1200 Progress: 0.6% Elapsed: 3:51:15 temperature: 0.25 ada_p: No Discriminator_loss: 1.17 Generator_loss: 0.868316
[INFO] 2021-06-22 10:24:27 > Step: 1300 Progress: 0.7% Elapsed: 4:10:31 temperature: 0.25 ada_p: No Discriminator_loss: 1.06438 Generator_loss: 0.662818
[INFO] 2021-06-22 10:43:38 > Step: 1400 Progress: 0.7% Elapsed: 4:29:43 temperature: 0.25 ada_p: No Discriminator_loss: 1.08885 Generator_loss: 0.937001
[INFO] 2021-06-22 11:02:51 > Step: 1500 Progress: 0.8% Elapsed: 4:48:55 temperature: 0.25 ada_p: No Discriminator_loss: 1.00054 Generator_loss: 0.959631
[INFO] 2021-06-22 11:22:03 > Step: 1600 Progress: 0.8% Elapsed: 5:08:08 temperature: 0.25 ada_p: No Discriminator_loss: 1.01552 Generator_loss: 0.471373
[INFO] 2021-06-22 11:41:14 > Step: 1700 Progress: 0.9% Elapsed: 5:27:18 temperature: 0.25 ada_p: No Discriminator_loss: 1.01318 Generator_loss: 0.614553
[INFO] 2021-06-22 12:00:26 > Step: 1800 Progress: 0.9% Elapsed: 5:46:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.994854 Generator_loss: 0.953588
[INFO] 2021-06-22 12:19:42 > Step: 1900 Progress: 0.9% Elapsed: 6:05:46 temperature: 0.25 ada_p: No Discriminator_loss: 1.03999 Generator_loss: 0.414957
[INFO] 2021-06-22 12:38:54 > Step: 2000 Progress: 1.0% Elapsed: 6:24:58 temperature: 0.25 ada_p: No Discriminator_loss: 1.07692 Generator_loss: 0.871526
[INFO] 2021-06-22 12:38:54 > Start Evaluation (2000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-22 12:38:54 > Calculating FID Score....
[INFO] 2021-06-22 12:40:02 > Calculating Inception Score....
[INFO] 2021-06-22 12:40:56 > Calculate F_beta Score....
[INFO] 2021-06-22 12:43:52 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-22 12:43:52 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-22 12:43:55 > Calculate Accuracies....
[INFO] 2021-06-22 12:44:43 > Calculate Accuracies....
[INFO] 2021-06-22 12:45:34 > F_8 score (Step: 2000, Using valid images): 0.34208914750544867
[INFO] 2021-06-22 12:45:34 > F_1/8 score (Step: 2000, Using valid images): 0.3701073606863497
[INFO] 2021-06-22 12:45:34 > FID score (Step: 2000, Using valid moments): 113.29325484956132
[INFO] 2021-06-22 12:45:34 > Inception score (Step: 2000, 50000 generated images): 6.684080600738525
[INFO] 2021-06-22 12:45:34 > Best FID score (Step: 2000, Using valid moments): 113.29325484956132
[INFO] 2021-06-22 12:45:49 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-22 13:04:57 > Step: 2100 Progress: 1.1% Elapsed: 6:51:01 temperature: 0.25 ada_p: No Discriminator_loss: 1.03644 Generator_loss: 0.86443
[INFO] 2021-06-22 13:24:10 > Step: 2200 Progress: 1.1% Elapsed: 7:10:15 temperature: 0.25 ada_p: No Discriminator_loss: 1.06696 Generator_loss: 0.977207
[INFO] 2021-06-22 13:43:22 > Step: 2300 Progress: 1.1% Elapsed: 7:29:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.996231 Generator_loss: 0.902315
[INFO] 2021-06-22 14:02:36 > Step: 2400 Progress: 1.2% Elapsed: 7:48:40 temperature: 0.25 ada_p: No Discriminator_loss: 0.966747 Generator_loss: 0.807439
[INFO] 2021-06-22 14:21:50 > Step: 2500 Progress: 1.2% Elapsed: 8:07:55 temperature: 0.25 ada_p: No Discriminator_loss: 1.0274 Generator_loss: 0.452697
[INFO] 2021-06-22 14:41:05 > Step: 2600 Progress: 1.3% Elapsed: 8:27:09 temperature: 0.25 ada_p: No Discriminator_loss: 0.987705 Generator_loss: 0.969569
[INFO] 2021-06-22 15:00:16 > Step: 2700 Progress: 1.4% Elapsed: 8:46:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.946145 Generator_loss: 0.85296
[INFO] 2021-06-22 15:19:27 > Step: 2800 Progress: 1.4% Elapsed: 9:05:32 temperature: 0.25 ada_p: No Discriminator_loss: 1.01995 Generator_loss: 0.930543
[INFO] 2021-06-22 15:38:45 > Step: 2900 Progress: 1.5% Elapsed: 9:24:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.947255 Generator_loss: 0.857761
[INFO] 2021-06-22 15:58:00 > Step: 3000 Progress: 1.5% Elapsed: 9:44:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.970822 Generator_loss: 0.925515
[INFO] 2021-06-22 16:17:15 > Step: 3100 Progress: 1.6% Elapsed: 10:03:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.981353 Generator_loss: 0.489943
[INFO] 2021-06-22 16:36:34 > Step: 3200 Progress: 1.6% Elapsed: 10:22:38 temperature: 0.25 ada_p: No Discriminator_loss: 0.972473 Generator_loss: 0.925982
[INFO] 2021-06-22 16:55:47 > Step: 3300 Progress: 1.7% Elapsed: 10:41:51 temperature: 0.25 ada_p: No Discriminator_loss: 0.994507 Generator_loss: 0.944
[INFO] 2021-06-22 17:15:00 > Step: 3400 Progress: 1.7% Elapsed: 11:01:05 temperature: 0.25 ada_p: No Discriminator_loss: 1.00309 Generator_loss: 0.925556
[INFO] 2021-06-22 17:34:17 > Step: 3500 Progress: 1.8% Elapsed: 11:20:22 temperature: 0.25 ada_p: No Discriminator_loss: 0.900056 Generator_loss: 0.816851
[INFO] 2021-06-22 17:53:31 > Step: 3600 Progress: 1.8% Elapsed: 11:39:36 temperature: 0.25 ada_p: No Discriminator_loss: 0.870998 Generator_loss: 0.868871
[INFO] 2021-06-22 18:12:47 > Step: 3700 Progress: 1.8% Elapsed: 11:58:51 temperature: 0.25 ada_p: No Discriminator_loss: 0.900313 Generator_loss: 0.887346
[INFO] 2021-06-22 18:32:06 > Step: 3800 Progress: 1.9% Elapsed: 12:18:10 temperature: 0.25 ada_p: No Discriminator_loss: 1.07107 Generator_loss: 0.84598
[INFO] 2021-06-22 18:51:19 > Step: 3900 Progress: 1.9% Elapsed: 12:37:23 temperature: 0.25 ada_p: No Discriminator_loss: 1.01696 Generator_loss: 0.84098
[INFO] 2021-06-22 19:10:33 > Step: 4000 Progress: 2.0% Elapsed: 12:56:38 temperature: 0.25 ada_p: No Discriminator_loss: 0.941113 Generator_loss: 0.880799
[INFO] 2021-06-22 19:10:33 > Start Evaluation (4000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-22 19:10:33 > Calculating FID Score....
[INFO] 2021-06-22 19:11:39 > Calculating Inception Score....
[INFO] 2021-06-22 19:12:33 > Calculate F_beta Score....
[INFO] 2021-06-22 19:15:28 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-22 19:15:28 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-22 19:15:30 > Calculate Accuracies....
[INFO] 2021-06-22 19:16:18 > Calculate Accuracies....
[INFO] 2021-06-22 19:17:09 > F_8 score (Step: 4000, Using valid images): 0.43324157056830603
[INFO] 2021-06-22 19:17:09 > F_1/8 score (Step: 4000, Using valid images): 0.5575888532333597
[INFO] 2021-06-22 19:17:09 > FID score (Step: 4000, Using valid moments): 90.8438405617141
[INFO] 2021-06-22 19:17:09 > Inception score (Step: 4000, 50000 generated images): 9.567434310913086
[INFO] 2021-06-22 19:17:09 > Best FID score (Step: 4000, Using valid moments): 90.8438405617141
[INFO] 2021-06-22 19:17:24 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-22 19:36:41 > Step: 4100 Progress: 2.1% Elapsed: 13:22:46 temperature: 0.25 ada_p: No Discriminator_loss: 0.865589 Generator_loss: 0.562841
[INFO] 2021-06-22 19:55:53 > Step: 4200 Progress: 2.1% Elapsed: 13:41:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.975996 Generator_loss: 0.888589
[INFO] 2021-06-22 20:15:04 > Step: 4300 Progress: 2.1% Elapsed: 14:01:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.913268 Generator_loss: 0.923894
[INFO] 2021-06-22 20:34:21 > Step: 4400 Progress: 2.2% Elapsed: 14:20:25 temperature: 0.25 ada_p: No Discriminator_loss: 0.812811 Generator_loss: 0.737546
[INFO] 2021-06-22 20:53:33 > Step: 4500 Progress: 2.2% Elapsed: 14:39:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.848198 Generator_loss: 0.782955
[INFO] 2021-06-22 21:12:45 > Step: 4600 Progress: 2.3% Elapsed: 14:58:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.932313 Generator_loss: 0.882723
[INFO] 2021-06-22 21:32:00 > Step: 4700 Progress: 2.4% Elapsed: 15:18:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.974627 Generator_loss: 0.80968
[INFO] 2021-06-22 21:51:11 > Step: 4800 Progress: 2.4% Elapsed: 15:37:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.993953 Generator_loss: 0.490533
[INFO] 2021-06-22 22:10:23 > Step: 4900 Progress: 2.5% Elapsed: 15:56:27 temperature: 0.25 ada_p: No Discriminator_loss: 0.960308 Generator_loss: 0.857037
[INFO] 2021-06-22 22:29:38 > Step: 5000 Progress: 2.5% Elapsed: 16:15:42 temperature: 0.25 ada_p: No Discriminator_loss: 0.913838 Generator_loss: 0.532599
[INFO] 2021-06-22 22:48:55 > Step: 5100 Progress: 2.5% Elapsed: 16:34:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.998076 Generator_loss: 0.48019
[INFO] 2021-06-22 23:08:09 > Step: 5200 Progress: 2.6% Elapsed: 16:54:14 temperature: 0.25 ada_p: No Discriminator_loss: 0.914328 Generator_loss: 0.458547
[INFO] 2021-06-22 23:27:21 > Step: 5300 Progress: 2.6% Elapsed: 17:13:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.898401 Generator_loss: 0.819346
[INFO] 2021-06-22 23:46:39 > Step: 5400 Progress: 2.7% Elapsed: 17:32:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.884413 Generator_loss: 0.881945
[INFO] 2021-06-23 00:05:52 > Step: 5500 Progress: 2.8% Elapsed: 17:51:56 temperature: 0.25 ada_p: No Discriminator_loss: 0.949583 Generator_loss: 0.545592
[INFO] 2021-06-23 00:25:05 > Step: 5600 Progress: 2.8% Elapsed: 18:11:09 temperature: 0.25 ada_p: No Discriminator_loss: 0.901115 Generator_loss: 0.922625
[INFO] 2021-06-23 00:44:26 > Step: 5700 Progress: 2.9% Elapsed: 18:30:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.942566 Generator_loss: 0.54076
[INFO] 2021-06-23 01:03:39 > Step: 5800 Progress: 2.9% Elapsed: 18:49:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.943845 Generator_loss: 0.49005
[INFO] 2021-06-23 01:22:53 > Step: 5900 Progress: 2.9% Elapsed: 19:08:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.866026 Generator_loss: 0.910537
[INFO] 2021-06-23 01:42:11 > Step: 6000 Progress: 3.0% Elapsed: 19:28:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.936693 Generator_loss: 0.805156
[INFO] 2021-06-23 01:42:11 > Start Evaluation (6000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 01:42:11 > Calculating FID Score....
[INFO] 2021-06-23 01:43:16 > Calculating Inception Score....
[INFO] 2021-06-23 01:44:10 > Calculate F_beta Score....
[INFO] 2021-06-23 01:46:34 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-23 01:46:34 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-23 01:46:37 > Calculate Accuracies....
[INFO] 2021-06-23 01:47:27 > Calculate Accuracies....
[INFO] 2021-06-23 01:48:17 > F_8 score (Step: 6000, Using valid images): 0.49426002079623343
[INFO] 2021-06-23 01:48:18 > F_1/8 score (Step: 6000, Using valid images): 0.684127664095708
[INFO] 2021-06-23 01:48:18 > FID score (Step: 6000, Using valid moments): 75.29919015739648
[INFO] 2021-06-23 01:48:18 > Inception score (Step: 6000, 50000 generated images): 11.635403633117676
[INFO] 2021-06-23 01:48:18 > Best FID score (Step: 6000, Using valid moments): 75.29919015739648
[INFO] 2021-06-23 01:48:32 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 02:07:44 > Step: 6100 Progress: 3.0% Elapsed: 19:53:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.928673 Generator_loss: 0.69769
[INFO] 2021-06-23 02:26:56 > Step: 6200 Progress: 3.1% Elapsed: 20:13:01 temperature: 0.25 ada_p: No Discriminator_loss: 0.817868 Generator_loss: 0.631606
[INFO] 2021-06-23 02:46:11 > Step: 6300 Progress: 3.1% Elapsed: 20:32:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.906819 Generator_loss: 0.724672
[INFO] 2021-06-23 03:05:24 > Step: 6400 Progress: 3.2% Elapsed: 20:51:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.890906 Generator_loss: 0.78925
[INFO] 2021-06-23 03:24:36 > Step: 6500 Progress: 3.2% Elapsed: 21:10:40 temperature: 0.25 ada_p: No Discriminator_loss: 0.885417 Generator_loss: 0.622172
[INFO] 2021-06-23 03:43:55 > Step: 6600 Progress: 3.3% Elapsed: 21:30:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.893282 Generator_loss: 0.516036
[INFO] 2021-06-23 04:03:08 > Step: 6700 Progress: 3.4% Elapsed: 21:49:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.879606 Generator_loss: 0.7977
[INFO] 2021-06-23 04:22:21 > Step: 6800 Progress: 3.4% Elapsed: 22:08:25 temperature: 0.25 ada_p: No Discriminator_loss: 0.885873 Generator_loss: 0.468655
[INFO] 2021-06-23 04:41:41 > Step: 6900 Progress: 3.5% Elapsed: 22:27:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.844966 Generator_loss: 0.708064
[INFO] 2021-06-23 05:00:56 > Step: 7000 Progress: 3.5% Elapsed: 22:47:01 temperature: 0.25 ada_p: No Discriminator_loss: 0.898328 Generator_loss: 0.589285
[INFO] 2021-06-23 05:20:10 > Step: 7100 Progress: 3.5% Elapsed: 23:06:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.895235 Generator_loss: 0.786208
[INFO] 2021-06-23 05:39:28 > Step: 7200 Progress: 3.6% Elapsed: 23:25:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.888807 Generator_loss: 0.572056
[INFO] 2021-06-23 05:58:41 > Step: 7300 Progress: 3.6% Elapsed: 23:44:46 temperature: 0.25 ada_p: No Discriminator_loss: 0.92968 Generator_loss: 0.466187
[INFO] 2021-06-23 06:17:55 > Step: 7400 Progress: 3.7% Elapsed: 1 day, 0:04:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.892156 Generator_loss: 0.546041
[INFO] 2021-06-23 06:37:10 > Step: 7500 Progress: 3.8% Elapsed: 1 day, 0:23:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.915501 Generator_loss: 0.515716
[INFO] 2021-06-23 06:56:26 > Step: 7600 Progress: 3.8% Elapsed: 1 day, 0:42:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.93459 Generator_loss: 0.633462
[INFO] 2021-06-23 07:15:40 > Step: 7700 Progress: 3.9% Elapsed: 1 day, 1:01:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.886384 Generator_loss: 0.543986
[INFO] 2021-06-23 07:34:57 > Step: 7800 Progress: 3.9% Elapsed: 1 day, 1:21:02 temperature: 0.25 ada_p: No Discriminator_loss: 0.860725 Generator_loss: 0.69075
[INFO] 2021-06-23 07:54:15 > Step: 7900 Progress: 4.0% Elapsed: 1 day, 1:40:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.822857 Generator_loss: 0.570946
[INFO] 2021-06-23 08:13:28 > Step: 8000 Progress: 4.0% Elapsed: 1 day, 1:59:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.846638 Generator_loss: 0.679226
[INFO] 2021-06-23 08:13:28 > Start Evaluation (8000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 08:13:28 > Calculating FID Score....
[INFO] 2021-06-23 08:14:33 > Calculating Inception Score....
[INFO] 2021-06-23 08:15:27 > Calculate F_beta Score....
[INFO] 2021-06-23 08:17:50 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-23 08:17:50 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-23 08:17:53 > Calculate Accuracies....
[INFO] 2021-06-23 08:18:43 > Calculate Accuracies....
[INFO] 2021-06-23 08:19:33 > F_8 score (Step: 8000, Using valid images): 0.5699456923229973
[INFO] 2021-06-23 08:19:33 > F_1/8 score (Step: 8000, Using valid images): 0.7752865113451584
[INFO] 2021-06-23 08:19:33 > FID score (Step: 8000, Using valid moments): 62.851290687470396
[INFO] 2021-06-23 08:19:33 > Inception score (Step: 8000, 50000 generated images): 13.463611602783203
[INFO] 2021-06-23 08:19:33 > Best FID score (Step: 8000, Using valid moments): 62.851290687470396
[INFO] 2021-06-23 08:19:48 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 08:39:00 > Step: 8100 Progress: 4.0% Elapsed: 1 day, 2:25:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.884031 Generator_loss: 0.632817
[INFO] 2021-06-23 08:58:16 > Step: 8200 Progress: 4.1% Elapsed: 1 day, 2:44:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.873022 Generator_loss: 0.576182
[INFO] 2021-06-23 09:17:26 > Step: 8300 Progress: 4.2% Elapsed: 1 day, 3:03:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.892437 Generator_loss: 0.692599
[INFO] 2021-06-23 09:36:41 > Step: 8400 Progress: 4.2% Elapsed: 1 day, 3:22:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.864755 Generator_loss: 0.743824
[INFO] 2021-06-23 09:55:58 > Step: 8500 Progress: 4.2% Elapsed: 1 day, 3:42:03 temperature: 0.25 ada_p: No Discriminator_loss: 0.858626 Generator_loss: 0.69445
[INFO] 2021-06-23 10:15:10 > Step: 8600 Progress: 4.3% Elapsed: 1 day, 4:01:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.857622 Generator_loss: 0.665076
[INFO] 2021-06-23 10:34:22 > Step: 8700 Progress: 4.3% Elapsed: 1 day, 4:20:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.869073 Generator_loss: 0.613079
[INFO] 2021-06-23 10:53:38 > Step: 8800 Progress: 4.4% Elapsed: 1 day, 4:39:42 temperature: 0.25 ada_p: No Discriminator_loss: 0.861864 Generator_loss: 0.657309
[INFO] 2021-06-23 11:12:51 > Step: 8900 Progress: 4.5% Elapsed: 1 day, 4:58:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.868621 Generator_loss: 0.629257
[INFO] 2021-06-23 11:32:02 > Step: 9000 Progress: 4.5% Elapsed: 1 day, 5:18:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.875429 Generator_loss: 0.613379
[INFO] 2021-06-23 11:51:19 > Step: 9100 Progress: 4.5% Elapsed: 1 day, 5:37:24 temperature: 0.25 ada_p: No Discriminator_loss: 0.821537 Generator_loss: 0.594948
[INFO] 2021-06-23 12:10:33 > Step: 9200 Progress: 4.6% Elapsed: 1 day, 5:56:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.826476 Generator_loss: 0.626554
[INFO] 2021-06-23 12:29:45 > Step: 9300 Progress: 4.7% Elapsed: 1 day, 6:15:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.843458 Generator_loss: 0.611574
[INFO] 2021-06-23 12:48:59 > Step: 9400 Progress: 4.7% Elapsed: 1 day, 6:35:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.810344 Generator_loss: 0.615391
[INFO] 2021-06-23 13:08:12 > Step: 9500 Progress: 4.8% Elapsed: 1 day, 6:54:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.859673 Generator_loss: 0.679427
[INFO] 2021-06-23 13:27:24 > Step: 9600 Progress: 4.8% Elapsed: 1 day, 7:13:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.83866 Generator_loss: 0.610522
[INFO] 2021-06-23 13:46:38 > Step: 9700 Progress: 4.9% Elapsed: 1 day, 7:32:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.881059 Generator_loss: 0.601995
[INFO] 2021-06-23 14:05:50 > Step: 9800 Progress: 4.9% Elapsed: 1 day, 7:51:54 temperature: 0.25 ada_p: No Discriminator_loss: 0.794929 Generator_loss: 0.593973
[INFO] 2021-06-23 14:25:03 > Step: 9900 Progress: 5.0% Elapsed: 1 day, 8:11:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.82555 Generator_loss: 0.60651
[INFO] 2021-06-23 14:44:18 > Step: 10000 Progress: 5.0% Elapsed: 1 day, 8:30:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.852934 Generator_loss: 0.620808
[INFO] 2021-06-23 14:44:19 > Start Evaluation (10000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 14:44:19 > Calculating FID Score....
[INFO] 2021-06-23 14:45:24 > Calculating Inception Score....
[INFO] 2021-06-23 14:46:18 > Calculate F_beta Score....
[INFO] 2021-06-23 14:48:44 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-23 14:48:45 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-23 14:48:48 > Calculate Accuracies....
[INFO] 2021-06-23 14:49:36 > Calculate Accuracies....
[INFO] 2021-06-23 14:50:26 > F_8 score (Step: 10000, Using valid images): 0.5792632347961504
[INFO] 2021-06-23 14:50:26 > F_1/8 score (Step: 10000, Using valid images): 0.7877124346434523
[INFO] 2021-06-23 14:50:26 > FID score (Step: 10000, Using valid moments): 60.643643693434285
[INFO] 2021-06-23 14:50:26 > Inception score (Step: 10000, 50000 generated images): 14.565051078796387
[INFO] 2021-06-23 14:50:26 > Best FID score (Step: 10000, Using valid moments): 60.643643693434285
[INFO] 2021-06-23 14:50:41 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 15:10:00 > Step: 10100 Progress: 5.1% Elapsed: 1 day, 8:56:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.811305 Generator_loss: 0.615054
[INFO] 2021-06-23 15:29:13 > Step: 10200 Progress: 5.1% Elapsed: 1 day, 9:15:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.87108 Generator_loss: 0.618553
[INFO] 2021-06-23 15:48:23 > Step: 10300 Progress: 5.1% Elapsed: 1 day, 9:34:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.820977 Generator_loss: 0.620513
[INFO] 2021-06-23 16:07:40 > Step: 10400 Progress: 5.2% Elapsed: 1 day, 9:53:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.817862 Generator_loss: 0.631994
[INFO] 2021-06-23 16:26:54 > Step: 10500 Progress: 5.2% Elapsed: 1 day, 10:12:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.816645 Generator_loss: 0.642419
[INFO] 2021-06-23 16:46:10 > Step: 10600 Progress: 5.3% Elapsed: 1 day, 10:32:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.807431 Generator_loss: 0.70021
[INFO] 2021-06-23 17:05:31 > Step: 10700 Progress: 5.3% Elapsed: 1 day, 10:51:36 temperature: 0.25 ada_p: No Discriminator_loss: 0.825995 Generator_loss: 0.6799
[INFO] 2021-06-23 17:24:44 > Step: 10800 Progress: 5.4% Elapsed: 1 day, 11:10:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.845836 Generator_loss: 0.657325
[INFO] 2021-06-23 17:43:59 > Step: 10900 Progress: 5.5% Elapsed: 1 day, 11:30:03 temperature: 0.25 ada_p: No Discriminator_loss: 0.804629 Generator_loss: 0.668312
[INFO] 2021-06-23 18:03:19 > Step: 11000 Progress: 5.5% Elapsed: 1 day, 11:49:24 temperature: 0.25 ada_p: No Discriminator_loss: 0.817742 Generator_loss: 0.626368
[INFO] 2021-06-23 18:22:35 > Step: 11100 Progress: 5.5% Elapsed: 1 day, 12:08:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.796136 Generator_loss: 0.650578
[INFO] 2021-06-23 18:41:49 > Step: 11200 Progress: 5.6% Elapsed: 1 day, 12:27:54 temperature: 0.25 ada_p: No Discriminator_loss: 0.797877 Generator_loss: 0.611738
[INFO] 2021-06-23 19:01:10 > Step: 11300 Progress: 5.7% Elapsed: 1 day, 12:47:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.790725 Generator_loss: 0.62137
[INFO] 2021-06-23 19:20:25 > Step: 11400 Progress: 5.7% Elapsed: 1 day, 13:06:30 temperature: 0.25 ada_p: No Discriminator_loss: 0.854144 Generator_loss: 0.697209
[INFO] 2021-06-23 19:39:39 > Step: 11500 Progress: 5.8% Elapsed: 1 day, 13:25:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.80301 Generator_loss: 0.611332
[INFO] 2021-06-23 19:58:58 > Step: 11600 Progress: 5.8% Elapsed: 1 day, 13:45:02 temperature: 0.25 ada_p: No Discriminator_loss: 0.843943 Generator_loss: 0.637924
[INFO] 2021-06-23 20:18:13 > Step: 11700 Progress: 5.9% Elapsed: 1 day, 14:04:17 temperature: 0.25 ada_p: No Discriminator_loss: 0.806491 Generator_loss: 0.616093
[INFO] 2021-06-23 20:37:25 > Step: 11800 Progress: 5.9% Elapsed: 1 day, 14:23:30 temperature: 0.25 ada_p: No Discriminator_loss: 0.822121 Generator_loss: 0.670911
[INFO] 2021-06-23 20:56:45 > Step: 11900 Progress: 5.9% Elapsed: 1 day, 14:42:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.777595 Generator_loss: 0.617685
[INFO] 2021-06-23 21:16:00 > Step: 12000 Progress: 6.0% Elapsed: 1 day, 15:02:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.809139 Generator_loss: 0.679187
[INFO] 2021-06-23 21:16:00 > Start Evaluation (12000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 21:16:00 > Calculating FID Score....
[INFO] 2021-06-23 21:17:06 > Calculating Inception Score....
[INFO] 2021-06-23 21:18:00 > Calculate F_beta Score....
[INFO] 2021-06-23 21:20:25 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-23 21:20:26 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-23 21:20:29 > Calculate Accuracies....
[INFO] 2021-06-23 21:21:18 > Calculate Accuracies....
[INFO] 2021-06-23 21:22:09 > F_8 score (Step: 12000, Using valid images): 0.6654886132948138
[INFO] 2021-06-23 21:22:09 > F_1/8 score (Step: 12000, Using valid images): 0.8384339653758667
[INFO] 2021-06-23 21:22:09 > FID score (Step: 12000, Using valid moments): 51.886667435834
[INFO] 2021-06-23 21:22:09 > Inception score (Step: 12000, 50000 generated images): 16.772409439086914
[INFO] 2021-06-23 21:22:09 > Best FID score (Step: 12000, Using valid moments): 51.886667435834
[INFO] 2021-06-23 21:22:24 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-23 21:41:39 > Step: 12100 Progress: 6.0% Elapsed: 1 day, 15:27:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.831378 Generator_loss: 0.601008
[INFO] 2021-06-23 22:01:01 > Step: 12200 Progress: 6.1% Elapsed: 1 day, 15:47:06 temperature: 0.25 ada_p: No Discriminator_loss: 0.844402 Generator_loss: 0.617413
[INFO] 2021-06-23 22:20:16 > Step: 12300 Progress: 6.2% Elapsed: 1 day, 16:06:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.836559 Generator_loss: 0.703404
[INFO] 2021-06-23 22:39:32 > Step: 12400 Progress: 6.2% Elapsed: 1 day, 16:25:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.790808 Generator_loss: 0.628106
[INFO] 2021-06-23 22:58:49 > Step: 12500 Progress: 6.2% Elapsed: 1 day, 16:44:53 temperature: 0.25 ada_p: No Discriminator_loss: 0.817528 Generator_loss: 0.635295
[INFO] 2021-06-23 23:18:07 > Step: 12600 Progress: 6.3% Elapsed: 1 day, 17:04:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.817857 Generator_loss: 0.619709
[INFO] 2021-06-23 23:37:21 > Step: 12700 Progress: 6.3% Elapsed: 1 day, 17:23:26 temperature: 0.25 ada_p: No Discriminator_loss: 1.08489 Generator_loss: 0.820437
[INFO] 2021-06-23 23:56:35 > Step: 12800 Progress: 6.4% Elapsed: 1 day, 17:42:40 temperature: 0.25 ada_p: No Discriminator_loss: 0.787901 Generator_loss: 0.632281
[INFO] 2021-06-24 00:15:56 > Step: 12900 Progress: 6.5% Elapsed: 1 day, 18:02:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.789434 Generator_loss: 0.694048
[INFO] 2021-06-24 00:35:08 > Step: 13000 Progress: 6.5% Elapsed: 1 day, 18:21:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.759999 Generator_loss: 0.643227
[INFO] 2021-06-24 00:54:23 > Step: 13100 Progress: 6.6% Elapsed: 1 day, 18:40:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.777925 Generator_loss: 0.646085
[INFO] 2021-06-24 01:13:44 > Step: 13200 Progress: 6.6% Elapsed: 1 day, 18:59:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.809702 Generator_loss: 0.670001
[INFO] 2021-06-24 01:33:00 > Step: 13300 Progress: 6.7% Elapsed: 1 day, 19:19:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.829116 Generator_loss: 0.716646
[INFO] 2021-06-24 01:52:13 > Step: 13400 Progress: 6.7% Elapsed: 1 day, 19:38:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.799892 Generator_loss: 0.657164
[INFO] 2021-06-24 02:11:32 > Step: 13500 Progress: 6.8% Elapsed: 1 day, 19:57:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.849195 Generator_loss: 0.626006
[INFO] 2021-06-24 02:30:47 > Step: 13600 Progress: 6.8% Elapsed: 1 day, 20:16:51 temperature: 0.25 ada_p: No Discriminator_loss: 0.799424 Generator_loss: 0.6602
[INFO] 2021-06-24 02:50:03 > Step: 13700 Progress: 6.9% Elapsed: 1 day, 20:36:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.77771 Generator_loss: 0.64787
[INFO] 2021-06-24 03:09:23 > Step: 13800 Progress: 6.9% Elapsed: 1 day, 20:55:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.862694 Generator_loss: 0.691178
[INFO] 2021-06-24 03:28:36 > Step: 13900 Progress: 7.0% Elapsed: 1 day, 21:14:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.847859 Generator_loss: 0.691926
[INFO] 2021-06-24 03:47:52 > Step: 14000 Progress: 7.0% Elapsed: 1 day, 21:33:56 temperature: 0.25 ada_p: No Discriminator_loss: 0.796231 Generator_loss: 0.656763
[INFO] 2021-06-24 03:47:52 > Start Evaluation (14000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 03:47:52 > Calculating FID Score....
[INFO] 2021-06-24 03:48:57 > Calculating Inception Score....
[INFO] 2021-06-24 03:49:51 > Calculate F_beta Score....
[INFO] 2021-06-24 03:52:19 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-24 03:52:20 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-24 03:52:23 > Calculate Accuracies....
[INFO] 2021-06-24 03:53:13 > Calculate Accuracies....
[INFO] 2021-06-24 03:54:03 > F_8 score (Step: 14000, Using valid images): 0.7060629129684817
[INFO] 2021-06-24 03:54:03 > F_1/8 score (Step: 14000, Using valid images): 0.853452068452698
[INFO] 2021-06-24 03:54:03 > FID score (Step: 14000, Using valid moments): 49.5478796441314
[INFO] 2021-06-24 03:54:03 > Inception score (Step: 14000, 50000 generated images): 17.46697998046875
[INFO] 2021-06-24 03:54:03 > Best FID score (Step: 14000, Using valid moments): 49.5478796441314
[INFO] 2021-06-24 03:54:18 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 04:13:36 > Step: 14100 Progress: 7.0% Elapsed: 1 day, 21:59:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.757704 Generator_loss: 0.639611
[INFO] 2021-06-24 04:32:51 > Step: 14200 Progress: 7.1% Elapsed: 1 day, 22:18:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.778625 Generator_loss: 0.661866
[INFO] 2021-06-24 04:52:04 > Step: 14300 Progress: 7.1% Elapsed: 1 day, 22:38:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.796026 Generator_loss: 0.697036
[INFO] 2021-06-24 05:11:22 > Step: 14400 Progress: 7.2% Elapsed: 1 day, 22:57:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.782923 Generator_loss: 0.637609
[INFO] 2021-06-24 05:30:37 > Step: 14500 Progress: 7.2% Elapsed: 1 day, 23:16:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.784751 Generator_loss: 0.711653
[INFO] 2021-06-24 05:49:52 > Step: 14600 Progress: 7.3% Elapsed: 1 day, 23:35:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.802328 Generator_loss: 0.636087
[INFO] 2021-06-24 06:09:10 > Step: 14700 Progress: 7.3% Elapsed: 1 day, 23:55:14 temperature: 0.25 ada_p: No Discriminator_loss: 0.765879 Generator_loss: 0.704765
[INFO] 2021-06-24 06:28:25 > Step: 14800 Progress: 7.4% Elapsed: 2 days, 0:14:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.826471 Generator_loss: 0.618874
[INFO] 2021-06-24 06:47:40 > Step: 14900 Progress: 7.4% Elapsed: 2 days, 0:33:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.757226 Generator_loss: 0.630917
[INFO] 2021-06-24 07:06:55 > Step: 15000 Progress: 7.5% Elapsed: 2 days, 0:52:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.765069 Generator_loss: 0.684482
[INFO] 2021-06-24 07:26:14 > Step: 15100 Progress: 7.5% Elapsed: 2 days, 1:12:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.783061 Generator_loss: 0.654415
[INFO] 2021-06-24 07:45:28 > Step: 15200 Progress: 7.6% Elapsed: 2 days, 1:31:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.776139 Generator_loss: 0.65338
[INFO] 2021-06-24 08:04:44 > Step: 15300 Progress: 7.6% Elapsed: 2 days, 1:50:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.751041 Generator_loss: 0.665128
[INFO] 2021-06-24 08:24:02 > Step: 15400 Progress: 7.7% Elapsed: 2 days, 2:10:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.768736 Generator_loss: 0.617468
[INFO] 2021-06-24 08:43:15 > Step: 15500 Progress: 7.8% Elapsed: 2 days, 2:29:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.811342 Generator_loss: 0.653235
[INFO] 2021-06-24 09:02:30 > Step: 15600 Progress: 7.8% Elapsed: 2 days, 2:48:35 temperature: 0.25 ada_p: No Discriminator_loss: 0.76153 Generator_loss: 0.624295
[INFO] 2021-06-24 09:21:50 > Step: 15700 Progress: 7.8% Elapsed: 2 days, 3:07:54 temperature: 0.25 ada_p: No Discriminator_loss: 0.935783 Generator_loss: 0.808883
[INFO] 2021-06-24 09:41:03 > Step: 15800 Progress: 7.9% Elapsed: 2 days, 3:27:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.749705 Generator_loss: 0.695512
[INFO] 2021-06-24 10:00:19 > Step: 15900 Progress: 8.0% Elapsed: 2 days, 3:46:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.797152 Generator_loss: 0.652662
[INFO] 2021-06-24 10:19:38 > Step: 16000 Progress: 8.0% Elapsed: 2 days, 4:05:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.762137 Generator_loss: 0.671358
[INFO] 2021-06-24 10:19:38 > Start Evaluation (16000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 10:19:38 > Calculating FID Score....
[INFO] 2021-06-24 10:20:43 > Calculating Inception Score....
[INFO] 2021-06-24 10:21:38 > Calculate F_beta Score....
[INFO] 2021-06-24 10:24:07 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-24 10:24:08 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-24 10:24:11 > Calculate Accuracies....
[INFO] 2021-06-24 10:25:01 > Calculate Accuracies....
[INFO] 2021-06-24 10:25:52 > F_8 score (Step: 16000, Using valid images): 0.7451392246810061
[INFO] 2021-06-24 10:25:52 > F_1/8 score (Step: 16000, Using valid images): 0.8698992025029699
[INFO] 2021-06-24 10:25:52 > FID score (Step: 16000, Using valid moments): 45.386629525038984
[INFO] 2021-06-24 10:25:52 > Inception score (Step: 16000, 50000 generated images): 18.802148818969727
[INFO] 2021-06-24 10:25:52 > Best FID score (Step: 16000, Using valid moments): 45.386629525038984
[INFO] 2021-06-24 10:26:07 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 10:45:22 > Step: 16100 Progress: 8.1% Elapsed: 2 days, 4:31:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.758449 Generator_loss: 0.695861
[INFO] 2021-06-24 11:04:38 > Step: 16200 Progress: 8.1% Elapsed: 2 days, 4:50:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.72192 Generator_loss: 0.679763
[INFO] 2021-06-24 11:23:59 > Step: 16300 Progress: 8.2% Elapsed: 2 days, 5:10:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.755644 Generator_loss: 0.653652
[INFO] 2021-06-24 11:43:13 > Step: 16400 Progress: 8.2% Elapsed: 2 days, 5:29:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.759238 Generator_loss: 0.632512
[INFO] 2021-06-24 12:02:27 > Step: 16500 Progress: 8.2% Elapsed: 2 days, 5:48:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.702089 Generator_loss: 0.663164
[INFO] 2021-06-24 12:21:44 > Step: 16600 Progress: 8.3% Elapsed: 2 days, 6:07:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.763346 Generator_loss: 0.650365
[INFO] 2021-06-24 12:40:59 > Step: 16700 Progress: 8.3% Elapsed: 2 days, 6:27:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.75417 Generator_loss: 0.693018
[INFO] 2021-06-24 13:00:13 > Step: 16800 Progress: 8.4% Elapsed: 2 days, 6:46:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.749322 Generator_loss: 0.66221
[INFO] 2021-06-24 13:19:36 > Step: 16900 Progress: 8.5% Elapsed: 2 days, 7:05:40 temperature: 0.25 ada_p: No Discriminator_loss: 0.797702 Generator_loss: 0.690279
[INFO] 2021-06-24 13:38:54 > Step: 17000 Progress: 8.5% Elapsed: 2 days, 7:24:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.742382 Generator_loss: 0.675833
[INFO] 2021-06-24 13:58:10 > Step: 17100 Progress: 8.6% Elapsed: 2 days, 7:44:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.795696 Generator_loss: 0.637243
[INFO] 2021-06-24 14:17:27 > Step: 17200 Progress: 8.6% Elapsed: 2 days, 8:03:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.776063 Generator_loss: 0.663541
[INFO] 2021-06-24 14:36:48 > Step: 17300 Progress: 8.6% Elapsed: 2 days, 8:22:53 temperature: 0.25 ada_p: No Discriminator_loss: 0.760779 Generator_loss: 0.657331
[INFO] 2021-06-24 14:56:04 > Step: 17400 Progress: 8.7% Elapsed: 2 days, 8:42:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.763646 Generator_loss: 0.714517
[INFO] 2021-06-24 15:15:19 > Step: 17500 Progress: 8.8% Elapsed: 2 days, 9:01:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.766227 Generator_loss: 0.655734
[INFO] 2021-06-24 15:34:41 > Step: 17600 Progress: 8.8% Elapsed: 2 days, 9:20:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.752408 Generator_loss: 0.693474
[INFO] 2021-06-24 15:54:00 > Step: 17700 Progress: 8.8% Elapsed: 2 days, 9:40:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.74649 Generator_loss: 0.692857
[INFO] 2021-06-24 16:13:15 > Step: 17800 Progress: 8.9% Elapsed: 2 days, 9:59:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.764185 Generator_loss: 0.658766
[INFO] 2021-06-24 16:32:38 > Step: 17900 Progress: 8.9% Elapsed: 2 days, 10:18:42 temperature: 0.25 ada_p: No Discriminator_loss: 0.742316 Generator_loss: 0.708432
[INFO] 2021-06-24 16:51:55 > Step: 18000 Progress: 9.0% Elapsed: 2 days, 10:37:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.685875 Generator_loss: 0.675752
[INFO] 2021-06-24 16:51:55 > Start Evaluation (18000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 16:51:55 > Calculating FID Score....
[INFO] 2021-06-24 16:53:01 > Calculating Inception Score....
[INFO] 2021-06-24 16:53:56 > Calculate F_beta Score....
[INFO] 2021-06-24 16:56:52 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-24 16:56:52 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-24 16:56:54 > Calculate Accuracies....
[INFO] 2021-06-24 16:57:43 > Calculate Accuracies....
[INFO] 2021-06-24 16:58:34 > F_8 score (Step: 18000, Using valid images): 0.7528115503333725
[INFO] 2021-06-24 16:58:34 > F_1/8 score (Step: 18000, Using valid images): 0.9003750849319315
[INFO] 2021-06-24 16:58:34 > FID score (Step: 18000, Using valid moments): 41.672136337174265
[INFO] 2021-06-24 16:58:34 > Inception score (Step: 18000, 50000 generated images): 20.086835861206055
[INFO] 2021-06-24 16:58:34 > Best FID score (Step: 18000, Using valid moments): 41.672136337174265
[INFO] 2021-06-24 16:58:49 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 17:18:06 > Step: 18100 Progress: 9.0% Elapsed: 2 days, 11:04:10 temperature: 0.25 ada_p: No Discriminator_loss: 0.76061 Generator_loss: 0.663001
[INFO] 2021-06-24 17:37:28 > Step: 18200 Progress: 9.1% Elapsed: 2 days, 11:23:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.715097 Generator_loss: 0.672222
[INFO] 2021-06-24 17:56:40 > Step: 18300 Progress: 9.2% Elapsed: 2 days, 11:42:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.721765 Generator_loss: 0.681428
[INFO] 2021-06-24 18:15:51 > Step: 18400 Progress: 9.2% Elapsed: 2 days, 12:01:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.805874 Generator_loss: 0.66924
[INFO] 2021-06-24 18:35:07 > Step: 18500 Progress: 9.2% Elapsed: 2 days, 12:21:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.730861 Generator_loss: 0.67903
[INFO] 2021-06-24 18:54:23 > Step: 18600 Progress: 9.3% Elapsed: 2 days, 12:40:27 temperature: 0.25 ada_p: No Discriminator_loss: 0.758289 Generator_loss: 0.67232
[INFO] 2021-06-24 19:13:38 > Step: 18700 Progress: 9.3% Elapsed: 2 days, 12:59:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.811326 Generator_loss: 0.64391
[INFO] 2021-06-24 19:33:01 > Step: 18800 Progress: 9.4% Elapsed: 2 days, 13:19:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.732498 Generator_loss: 0.642659
[INFO] 2021-06-24 19:52:18 > Step: 18900 Progress: 9.4% Elapsed: 2 days, 13:38:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.72486 Generator_loss: 0.662129
[INFO] 2021-06-24 20:11:35 > Step: 19000 Progress: 9.5% Elapsed: 2 days, 13:57:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.746799 Generator_loss: 0.693551
[INFO] 2021-06-24 20:30:56 > Step: 19100 Progress: 9.6% Elapsed: 2 days, 14:17:01 temperature: 0.25 ada_p: No Discriminator_loss: 0.761487 Generator_loss: 0.681523
[INFO] 2021-06-24 20:50:14 > Step: 19200 Progress: 9.6% Elapsed: 2 days, 14:36:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.744733 Generator_loss: 0.693997
[INFO] 2021-06-24 21:09:31 > Step: 19300 Progress: 9.7% Elapsed: 2 days, 14:55:36 temperature: 0.25 ada_p: No Discriminator_loss: 0.715761 Generator_loss: 0.691572
[INFO] 2021-06-24 21:28:53 > Step: 19400 Progress: 9.7% Elapsed: 2 days, 15:14:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.712379 Generator_loss: 0.701621
[INFO] 2021-06-24 21:48:08 > Step: 19500 Progress: 9.8% Elapsed: 2 days, 15:34:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.712187 Generator_loss: 0.676938
[INFO] 2021-06-24 22:07:26 > Step: 19600 Progress: 9.8% Elapsed: 2 days, 15:53:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.714096 Generator_loss: 0.66676
[INFO] 2021-06-24 22:26:41 > Step: 19700 Progress: 9.8% Elapsed: 2 days, 16:12:46 temperature: 0.25 ada_p: No Discriminator_loss: 0.763815 Generator_loss: 0.677968
[INFO] 2021-06-24 22:46:03 > Step: 19800 Progress: 9.9% Elapsed: 2 days, 16:32:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.790222 Generator_loss: 0.616616
[INFO] 2021-06-24 23:05:20 > Step: 19900 Progress: 10.0% Elapsed: 2 days, 16:51:24 temperature: 0.25 ada_p: No Discriminator_loss: 0.769789 Generator_loss: 0.679893
[INFO] 2021-06-24 23:24:36 > Step: 20000 Progress: 10.0% Elapsed: 2 days, 17:10:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.687496 Generator_loss: 0.731455
[INFO] 2021-06-24 23:24:36 > Start Evaluation (20000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 23:24:36 > Calculating FID Score....
[INFO] 2021-06-24 23:25:42 > Calculating Inception Score....
[INFO] 2021-06-24 23:26:37 > Calculate F_beta Score....
[INFO] 2021-06-24 23:29:35 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-24 23:29:35 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-24 23:29:38 > Calculate Accuracies....
[INFO] 2021-06-24 23:30:26 > Calculate Accuracies....
[INFO] 2021-06-24 23:31:16 > F_8 score (Step: 20000, Using valid images): 0.7491654635620241
[INFO] 2021-06-24 23:31:16 > F_1/8 score (Step: 20000, Using valid images): 0.9049492778889824
[INFO] 2021-06-24 23:31:16 > FID score (Step: 20000, Using valid moments): 40.54753243012698
[INFO] 2021-06-24 23:31:16 > Inception score (Step: 20000, 50000 generated images): 21.37925148010254
[INFO] 2021-06-24 23:31:16 > Best FID score (Step: 20000, Using valid moments): 40.54753243012698
[INFO] 2021-06-24 23:31:31 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-24 23:50:55 > Step: 20100 Progress: 10.1% Elapsed: 2 days, 17:36:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.705733 Generator_loss: 0.703628
[INFO] 2021-06-25 00:10:10 > Step: 20200 Progress: 10.1% Elapsed: 2 days, 17:56:14 temperature: 0.25 ada_p: No Discriminator_loss: 0.710876 Generator_loss: 0.688486
[INFO] 2021-06-25 00:29:23 > Step: 20300 Progress: 10.2% Elapsed: 2 days, 18:15:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.706966 Generator_loss: 0.719538
[INFO] 2021-06-25 00:48:44 > Step: 20400 Progress: 10.2% Elapsed: 2 days, 18:34:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.742419 Generator_loss: 0.685316
[INFO] 2021-06-25 01:08:00 > Step: 20500 Progress: 10.2% Elapsed: 2 days, 18:54:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.714781 Generator_loss: 0.660995
[INFO] 2021-06-25 01:27:14 > Step: 20600 Progress: 10.3% Elapsed: 2 days, 19:13:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.73765 Generator_loss: 0.662098
[INFO] 2021-06-25 01:46:34 > Step: 20700 Progress: 10.3% Elapsed: 2 days, 19:32:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.722586 Generator_loss: 0.684604
[INFO] 2021-06-25 02:05:50 > Step: 20800 Progress: 10.4% Elapsed: 2 days, 19:51:54 temperature: 0.25 ada_p: No Discriminator_loss: 0.730654 Generator_loss: 0.691033
[INFO] 2021-06-25 02:25:08 > Step: 20900 Progress: 10.4% Elapsed: 2 days, 20:11:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.736344 Generator_loss: 0.710477
[INFO] 2021-06-25 02:44:27 > Step: 21000 Progress: 10.5% Elapsed: 2 days, 20:30:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.707585 Generator_loss: 0.695855
[INFO] 2021-06-25 03:03:43 > Step: 21100 Progress: 10.5% Elapsed: 2 days, 20:49:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.733606 Generator_loss: 0.695568
[INFO] 2021-06-25 03:23:03 > Step: 21200 Progress: 10.6% Elapsed: 2 days, 21:09:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.716102 Generator_loss: 0.681333
[INFO] 2021-06-25 03:42:23 > Step: 21300 Progress: 10.7% Elapsed: 2 days, 21:28:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.750058 Generator_loss: 0.639807
[INFO] 2021-06-25 04:01:40 > Step: 21400 Progress: 10.7% Elapsed: 2 days, 21:47:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.706751 Generator_loss: 0.717266
[INFO] 2021-06-25 04:20:55 > Step: 21500 Progress: 10.8% Elapsed: 2 days, 22:06:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.694004 Generator_loss: 0.664539
[INFO] 2021-06-25 04:40:16 > Step: 21600 Progress: 10.8% Elapsed: 2 days, 22:26:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.693917 Generator_loss: 0.685482
[INFO] 2021-06-25 04:59:34 > Step: 21700 Progress: 10.8% Elapsed: 2 days, 22:45:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.701081 Generator_loss: 0.702982
[INFO] 2021-06-25 05:18:50 > Step: 21800 Progress: 10.9% Elapsed: 2 days, 23:04:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.728865 Generator_loss: 0.701675
[INFO] 2021-06-25 05:38:11 > Step: 21900 Progress: 10.9% Elapsed: 2 days, 23:24:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.741138 Generator_loss: 0.676212
[INFO] 2021-06-25 05:57:27 > Step: 22000 Progress: 11.0% Elapsed: 2 days, 23:43:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.7646 Generator_loss: 0.648182
[INFO] 2021-06-25 05:57:27 > Start Evaluation (22000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 05:57:27 > Calculating FID Score....
[INFO] 2021-06-25 05:58:33 > Calculating Inception Score....
[INFO] 2021-06-25 05:59:28 > Calculate F_beta Score....
[INFO] 2021-06-25 06:02:21 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-25 06:02:21 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-25 06:02:23 > Calculate Accuracies....
[INFO] 2021-06-25 06:03:12 > Calculate Accuracies....
[INFO] 2021-06-25 06:04:03 > F_8 score (Step: 22000, Using valid images): 0.8035600667601869
[INFO] 2021-06-25 06:04:03 > F_1/8 score (Step: 22000, Using valid images): 0.9269556417027367
[INFO] 2021-06-25 06:04:03 > FID score (Step: 22000, Using valid moments): 36.36967888911772
[INFO] 2021-06-25 06:04:03 > Inception score (Step: 22000, 50000 generated images): 22.914445877075195
[INFO] 2021-06-25 06:04:03 > Best FID score (Step: 22000, Using valid moments): 36.36967888911772
[INFO] 2021-06-25 06:04:18 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 06:23:35 > Step: 22100 Progress: 11.1% Elapsed: 3 days, 0:09:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.778161 Generator_loss: 0.764118
[INFO] 2021-06-25 06:42:51 > Step: 22200 Progress: 11.1% Elapsed: 3 days, 0:28:56 temperature: 0.25 ada_p: No Discriminator_loss: 0.701374 Generator_loss: 0.713191
[INFO] 2021-06-25 07:02:12 > Step: 22300 Progress: 11.2% Elapsed: 3 days, 0:48:17 temperature: 0.25 ada_p: No Discriminator_loss: 0.721761 Generator_loss: 0.674568
[INFO] 2021-06-25 07:21:30 > Step: 22400 Progress: 11.2% Elapsed: 3 days, 1:07:35 temperature: 0.25 ada_p: No Discriminator_loss: 0.720373 Generator_loss: 0.694707
[INFO] 2021-06-25 07:40:48 > Step: 22500 Progress: 11.2% Elapsed: 3 days, 1:26:53 temperature: 0.25 ada_p: No Discriminator_loss: 0.714687 Generator_loss: 0.657995
[INFO] 2021-06-25 08:00:12 > Step: 22600 Progress: 11.3% Elapsed: 3 days, 1:46:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.704636 Generator_loss: 0.663247
[INFO] 2021-06-25 08:19:29 > Step: 22700 Progress: 11.3% Elapsed: 3 days, 2:05:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.712676 Generator_loss: 0.681889
[INFO] 2021-06-25 08:38:44 > Step: 22800 Progress: 11.4% Elapsed: 3 days, 2:24:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.68836 Generator_loss: 0.743147
[INFO] 2021-06-25 08:58:06 > Step: 22900 Progress: 11.5% Elapsed: 3 days, 2:44:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.713216 Generator_loss: 0.692191
[INFO] 2021-06-25 09:17:24 > Step: 23000 Progress: 11.5% Elapsed: 3 days, 3:03:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.714579 Generator_loss: 0.676516
[INFO] 2021-06-25 09:36:41 > Step: 23100 Progress: 11.6% Elapsed: 3 days, 3:22:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.727108 Generator_loss: 0.710424
[INFO] 2021-06-25 09:56:03 > Step: 23200 Progress: 11.6% Elapsed: 3 days, 3:42:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.659712 Generator_loss: 0.676658
[INFO] 2021-06-25 10:15:21 > Step: 23300 Progress: 11.7% Elapsed: 3 days, 4:01:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.715732 Generator_loss: 0.708563
[INFO] 2021-06-25 10:34:38 > Step: 23400 Progress: 11.7% Elapsed: 3 days, 4:20:42 temperature: 0.25 ada_p: No Discriminator_loss: 0.767793 Generator_loss: 0.661694
[INFO] 2021-06-25 10:53:59 > Step: 23500 Progress: 11.8% Elapsed: 3 days, 4:40:03 temperature: 0.25 ada_p: No Discriminator_loss: 0.751238 Generator_loss: 0.7121
[INFO] 2021-06-25 11:13:15 > Step: 23600 Progress: 11.8% Elapsed: 3 days, 4:59:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.748648 Generator_loss: 0.69268
[INFO] 2021-06-25 11:32:30 > Step: 23700 Progress: 11.8% Elapsed: 3 days, 5:18:35 temperature: 0.25 ada_p: No Discriminator_loss: 0.706807 Generator_loss: 0.66312
[INFO] 2021-06-25 11:51:52 > Step: 23800 Progress: 11.9% Elapsed: 3 days, 5:37:56 temperature: 0.25 ada_p: No Discriminator_loss: 0.711435 Generator_loss: 0.717724
[INFO] 2021-06-25 12:11:08 > Step: 23900 Progress: 11.9% Elapsed: 3 days, 5:57:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.71081 Generator_loss: 0.699854
[INFO] 2021-06-25 12:30:23 > Step: 24000 Progress: 12.0% Elapsed: 3 days, 6:16:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.703758 Generator_loss: 0.660751
[INFO] 2021-06-25 12:30:23 > Start Evaluation (24000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 12:30:23 > Calculating FID Score....
[INFO] 2021-06-25 12:31:29 > Calculating Inception Score....
[INFO] 2021-06-25 12:32:24 > Calculate F_beta Score....
[INFO] 2021-06-25 12:35:18 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-25 12:35:19 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-25 12:35:21 > Calculate Accuracies....
[INFO] 2021-06-25 12:36:10 > Calculate Accuracies....
[INFO] 2021-06-25 12:37:00 > F_8 score (Step: 24000, Using valid images): 0.8255481440641829
[INFO] 2021-06-25 12:37:00 > F_1/8 score (Step: 24000, Using valid images): 0.9304572059561871
[INFO] 2021-06-25 12:37:00 > FID score (Step: 24000, Using valid moments): 32.66157771402794
[INFO] 2021-06-25 12:37:00 > Inception score (Step: 24000, 50000 generated images): 24.546585083007812
[INFO] 2021-06-25 12:37:00 > Best FID score (Step: 24000, Using valid moments): 32.66157771402794
[INFO] 2021-06-25 12:37:15 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 12:56:36 > Step: 24100 Progress: 12.0% Elapsed: 3 days, 6:42:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.746285 Generator_loss: 0.656056
[INFO] 2021-06-25 13:15:51 > Step: 24200 Progress: 12.1% Elapsed: 3 days, 7:01:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.751249 Generator_loss: 0.656563
[INFO] 2021-06-25 13:35:05 > Step: 24300 Progress: 12.2% Elapsed: 3 days, 7:21:09 temperature: 0.25 ada_p: No Discriminator_loss: 0.701661 Generator_loss: 0.701161
[INFO] 2021-06-25 13:54:23 > Step: 24400 Progress: 12.2% Elapsed: 3 days, 7:40:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.676592 Generator_loss: 0.701427
[INFO] 2021-06-25 14:13:39 > Step: 24500 Progress: 12.2% Elapsed: 3 days, 7:59:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.677041 Generator_loss: 0.678928
[INFO] 2021-06-25 14:32:53 > Step: 24600 Progress: 12.3% Elapsed: 3 days, 8:18:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.720946 Generator_loss: 0.690674
[INFO] 2021-06-25 14:52:08 > Step: 24700 Progress: 12.3% Elapsed: 3 days, 8:38:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.702754 Generator_loss: 0.70192
[INFO] 2021-06-25 15:11:30 > Step: 24800 Progress: 12.4% Elapsed: 3 days, 8:57:34 temperature: 0.25 ada_p: No Discriminator_loss: 0.760897 Generator_loss: 0.677482
[INFO] 2021-06-25 15:30:42 > Step: 24900 Progress: 12.4% Elapsed: 3 days, 9:16:47 temperature: 0.25 ada_p: No Discriminator_loss: 0.686661 Generator_loss: 0.679145
[INFO] 2021-06-25 15:49:56 > Step: 25000 Progress: 12.5% Elapsed: 3 days, 9:36:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.710348 Generator_loss: 0.658816
[INFO] 2021-06-25 16:09:15 > Step: 25100 Progress: 12.6% Elapsed: 3 days, 9:55:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.693839 Generator_loss: 0.678806
[INFO] 2021-06-25 16:28:30 > Step: 25200 Progress: 12.6% Elapsed: 3 days, 10:14:35 temperature: 0.25 ada_p: No Discriminator_loss: 0.715793 Generator_loss: 0.718683
[INFO] 2021-06-25 16:47:45 > Step: 25300 Progress: 12.7% Elapsed: 3 days, 10:33:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.75774 Generator_loss: 0.617406
[INFO] 2021-06-25 17:07:06 > Step: 25400 Progress: 12.7% Elapsed: 3 days, 10:53:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.77263 Generator_loss: 0.674483
[INFO] 2021-06-25 17:26:20 > Step: 25500 Progress: 12.8% Elapsed: 3 days, 11:12:25 temperature: 0.25 ada_p: No Discriminator_loss: 0.678056 Generator_loss: 0.719154
[INFO] 2021-06-25 17:45:34 > Step: 25600 Progress: 12.8% Elapsed: 3 days, 11:31:38 temperature: 0.25 ada_p: No Discriminator_loss: 0.695835 Generator_loss: 0.699651
[INFO] 2021-06-25 18:04:52 > Step: 25700 Progress: 12.8% Elapsed: 3 days, 11:50:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.699165 Generator_loss: 0.71606
[INFO] 2021-06-25 18:24:09 > Step: 25800 Progress: 12.9% Elapsed: 3 days, 12:10:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.702609 Generator_loss: 0.680358
[INFO] 2021-06-25 18:43:24 > Step: 25900 Progress: 13.0% Elapsed: 3 days, 12:29:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.686203 Generator_loss: 0.670307
[INFO] 2021-06-25 19:02:43 > Step: 26000 Progress: 13.0% Elapsed: 3 days, 12:48:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.726127 Generator_loss: 0.720166
[INFO] 2021-06-25 19:02:43 > Start Evaluation (26000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 19:02:43 > Calculating FID Score....
[INFO] 2021-06-25 19:03:49 > Calculating Inception Score....
[INFO] 2021-06-25 19:04:44 > Calculate F_beta Score....
[INFO] 2021-06-25 19:07:13 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-25 19:07:14 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-25 19:07:17 > Calculate Accuracies....
[INFO] 2021-06-25 19:08:07 > Calculate Accuracies....
[INFO] 2021-06-25 19:08:57 > F_8 score (Step: 26000, Using valid images): 0.8394296881928053
[INFO] 2021-06-25 19:08:57 > F_1/8 score (Step: 26000, Using valid images): 0.9361982089128111
[INFO] 2021-06-25 19:08:57 > FID score (Step: 26000, Using valid moments): 29.46212590492064
[INFO] 2021-06-25 19:08:57 > Inception score (Step: 26000, 50000 generated images): 26.340229034423828
[INFO] 2021-06-25 19:08:57 > Best FID score (Step: 26000, Using valid moments): 29.46212590492064
[INFO] 2021-06-25 19:09:11 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-25 19:28:28 > Step: 26100 Progress: 13.1% Elapsed: 3 days, 13:14:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.695186 Generator_loss: 0.659877
[INFO] 2021-06-25 19:47:43 > Step: 26200 Progress: 13.1% Elapsed: 3 days, 13:33:47 temperature: 0.25 ada_p: No Discriminator_loss: 0.692671 Generator_loss: 0.707338
[INFO] 2021-06-25 20:07:02 > Step: 26300 Progress: 13.2% Elapsed: 3 days, 13:53:06 temperature: 0.25 ada_p: No Discriminator_loss: 0.693359 Generator_loss: 0.701056
[INFO] 2021-06-25 20:26:18 > Step: 26400 Progress: 13.2% Elapsed: 3 days, 14:12:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.712029 Generator_loss: 0.660479
[INFO] 2021-06-25 20:45:33 > Step: 26500 Progress: 13.2% Elapsed: 3 days, 14:31:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.677752 Generator_loss: 0.716996
[INFO] 2021-06-25 21:04:53 > Step: 26600 Progress: 13.3% Elapsed: 3 days, 14:50:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.691396 Generator_loss: 0.701109
[INFO] 2021-06-25 21:24:10 > Step: 26700 Progress: 13.4% Elapsed: 3 days, 15:10:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.692667 Generator_loss: 0.691921
[INFO] 2021-06-25 21:43:25 > Step: 26800 Progress: 13.4% Elapsed: 3 days, 15:29:30 temperature: 0.25 ada_p: No Discriminator_loss: 0.679424 Generator_loss: 0.699027
[INFO] 2021-06-25 22:02:50 > Step: 26900 Progress: 13.5% Elapsed: 3 days, 15:48:54 temperature: 0.25 ada_p: No Discriminator_loss: 0.667193 Generator_loss: 0.70237
[INFO] 2021-06-25 22:22:06 > Step: 27000 Progress: 13.5% Elapsed: 3 days, 16:08:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.651875 Generator_loss: 0.684965
[INFO] 2021-06-25 22:41:20 > Step: 27100 Progress: 13.6% Elapsed: 3 days, 16:27:25 temperature: 0.25 ada_p: No Discriminator_loss: 0.691535 Generator_loss: 0.707313
[INFO] 2021-06-25 23:00:36 > Step: 27200 Progress: 13.6% Elapsed: 3 days, 16:46:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.741992 Generator_loss: 0.686174
[INFO] 2021-06-25 23:19:58 > Step: 27300 Progress: 13.7% Elapsed: 3 days, 17:06:03 temperature: 0.25 ada_p: No Discriminator_loss: 0.719706 Generator_loss: 0.703487
[INFO] 2021-06-25 23:39:13 > Step: 27400 Progress: 13.7% Elapsed: 3 days, 17:25:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.729667 Generator_loss: 0.67832
[INFO] 2021-06-25 23:58:29 > Step: 27500 Progress: 13.8% Elapsed: 3 days, 17:44:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.665915 Generator_loss: 0.699216
[INFO] 2021-06-26 00:17:51 > Step: 27600 Progress: 13.8% Elapsed: 3 days, 18:03:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.712965 Generator_loss: 0.705225
[INFO] 2021-06-26 00:37:08 > Step: 27700 Progress: 13.9% Elapsed: 3 days, 18:23:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.691817 Generator_loss: 0.719997
[INFO] 2021-06-26 00:56:23 > Step: 27800 Progress: 13.9% Elapsed: 3 days, 18:42:27 temperature: 0.25 ada_p: No Discriminator_loss: 0.696774 Generator_loss: 0.672752
[INFO] 2021-06-26 01:15:45 > Step: 27900 Progress: 14.0% Elapsed: 3 days, 19:01:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.670801 Generator_loss: 0.721446
[INFO] 2021-06-26 01:35:00 > Step: 28000 Progress: 14.0% Elapsed: 3 days, 19:21:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.709021 Generator_loss: 0.65753
[INFO] 2021-06-26 01:35:00 > Start Evaluation (28000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 01:35:00 > Calculating FID Score....
[INFO] 2021-06-26 01:36:05 > Calculating Inception Score....
[INFO] 2021-06-26 01:37:00 > Calculate F_beta Score....
[INFO] 2021-06-26 01:39:41 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-26 01:39:41 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-26 01:39:44 > Calculate Accuracies....
[INFO] 2021-06-26 01:40:34 > Calculate Accuracies....
[INFO] 2021-06-26 01:41:26 > F_8 score (Step: 28000, Using valid images): 0.857265338471877
[INFO] 2021-06-26 01:41:26 > F_1/8 score (Step: 28000, Using valid images): 0.948669465203302
[INFO] 2021-06-26 01:41:26 > FID score (Step: 28000, Using valid moments): 27.147594620727375
[INFO] 2021-06-26 01:41:26 > Inception score (Step: 28000, 50000 generated images): 28.262174606323242
[INFO] 2021-06-26 01:41:26 > Best FID score (Step: 28000, Using valid moments): 27.147594620727375
[INFO] 2021-06-26 01:41:40 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 02:00:55 > Step: 28100 Progress: 14.1% Elapsed: 3 days, 19:46:59 temperature: 0.25 ada_p: No Discriminator_loss: 0.634525 Generator_loss: 0.709759
[INFO] 2021-06-26 02:20:13 > Step: 28200 Progress: 14.1% Elapsed: 3 days, 20:06:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.674455 Generator_loss: 0.729073
[INFO] 2021-06-26 02:39:30 > Step: 28300 Progress: 14.1% Elapsed: 3 days, 20:25:34 temperature: 0.25 ada_p: No Discriminator_loss: 0.70972 Generator_loss: 0.685085
[INFO] 2021-06-26 02:58:45 > Step: 28400 Progress: 14.2% Elapsed: 3 days, 20:44:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.694013 Generator_loss: 0.682103
[INFO] 2021-06-26 03:18:07 > Step: 28500 Progress: 14.2% Elapsed: 3 days, 21:04:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.686738 Generator_loss: 0.679427
[INFO] 2021-06-26 03:37:23 > Step: 28600 Progress: 14.3% Elapsed: 3 days, 21:23:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.703674 Generator_loss: 0.710478
[INFO] 2021-06-26 03:56:39 > Step: 28700 Progress: 14.3% Elapsed: 3 days, 21:42:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.749652 Generator_loss: 0.760367
[INFO] 2021-06-26 04:16:01 > Step: 28800 Progress: 14.4% Elapsed: 3 days, 22:02:06 temperature: 0.25 ada_p: No Discriminator_loss: 0.71899 Generator_loss: 0.675279
[INFO] 2021-06-26 04:35:17 > Step: 28900 Progress: 14.4% Elapsed: 3 days, 22:21:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.708432 Generator_loss: 0.652732
[INFO] 2021-06-26 04:54:34 > Step: 29000 Progress: 14.5% Elapsed: 3 days, 22:40:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.715127 Generator_loss: 0.724815
[INFO] 2021-06-26 05:13:55 > Step: 29100 Progress: 14.5% Elapsed: 3 days, 23:00:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.685234 Generator_loss: 0.713544
[INFO] 2021-06-26 05:33:10 > Step: 29200 Progress: 14.6% Elapsed: 3 days, 23:19:14 temperature: 0.25 ada_p: No Discriminator_loss: 0.749326 Generator_loss: 0.672453
[INFO] 2021-06-26 05:52:29 > Step: 29300 Progress: 14.6% Elapsed: 3 days, 23:38:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.701998 Generator_loss: 0.719702
[INFO] 2021-06-26 06:11:48 > Step: 29400 Progress: 14.7% Elapsed: 3 days, 23:57:52 temperature: 0.25 ada_p: No Discriminator_loss: 0.722475 Generator_loss: 0.684493
[INFO] 2021-06-26 06:31:02 > Step: 29500 Progress: 14.8% Elapsed: 4 days, 0:17:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.765794 Generator_loss: 0.727218
[INFO] 2021-06-26 06:50:17 > Step: 29600 Progress: 14.8% Elapsed: 4 days, 0:36:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.70055 Generator_loss: 0.696127
[INFO] 2021-06-26 07:09:33 > Step: 29700 Progress: 14.8% Elapsed: 4 days, 0:55:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.703281 Generator_loss: 0.728962
[INFO] 2021-06-26 07:28:55 > Step: 29800 Progress: 14.9% Elapsed: 4 days, 1:15:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.668101 Generator_loss: 0.729878
[INFO] 2021-06-26 07:48:12 > Step: 29900 Progress: 14.9% Elapsed: 4 days, 1:34:17 temperature: 0.25 ada_p: No Discriminator_loss: 0.661919 Generator_loss: 0.697139
[INFO] 2021-06-26 08:07:32 > Step: 30000 Progress: 15.0% Elapsed: 4 days, 1:53:36 temperature: 0.25 ada_p: No Discriminator_loss: 0.676237 Generator_loss: 0.722697
[INFO] 2021-06-26 08:07:32 > Start Evaluation (30000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 08:07:32 > Calculating FID Score....
[INFO] 2021-06-26 08:08:37 > Calculating Inception Score....
[INFO] 2021-06-26 08:09:31 > Calculate F_beta Score....
[INFO] 2021-06-26 08:12:04 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-26 08:12:04 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-26 08:12:07 > Calculate Accuracies....
[INFO] 2021-06-26 08:12:57 > Calculate Accuracies....
[INFO] 2021-06-26 08:13:47 > F_8 score (Step: 30000, Using valid images): 0.8821710409513227
[INFO] 2021-06-26 08:13:47 > F_1/8 score (Step: 30000, Using valid images): 0.9484209095504411
[INFO] 2021-06-26 08:13:47 > FID score (Step: 30000, Using valid moments): 25.079734577242675
[INFO] 2021-06-26 08:13:47 > Inception score (Step: 30000, 50000 generated images): 29.259052276611328
[INFO] 2021-06-26 08:13:47 > Best FID score (Step: 30000, Using valid moments): 25.079734577242675
[INFO] 2021-06-26 08:14:02 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 08:33:24 > Step: 30100 Progress: 15.0% Elapsed: 4 days, 2:19:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.691025 Generator_loss: 0.704976
[INFO] 2021-06-26 08:52:37 > Step: 30200 Progress: 15.1% Elapsed: 4 days, 2:38:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.71321 Generator_loss: 0.668888
[INFO] 2021-06-26 09:11:51 > Step: 30300 Progress: 15.2% Elapsed: 4 days, 2:57:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.706854 Generator_loss: 0.70577
[INFO] 2021-06-26 09:31:11 > Step: 30400 Progress: 15.2% Elapsed: 4 days, 3:17:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.671379 Generator_loss: 0.700688
[INFO] 2021-06-26 09:50:24 > Step: 30500 Progress: 15.2% Elapsed: 4 days, 3:36:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.68967 Generator_loss: 0.74787
[INFO] 2021-06-26 10:09:37 > Step: 30600 Progress: 15.3% Elapsed: 4 days, 3:55:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.690965 Generator_loss: 0.730027
[INFO] 2021-06-26 10:28:58 > Step: 30700 Progress: 15.3% Elapsed: 4 days, 4:15:02 temperature: 0.25 ada_p: No Discriminator_loss: 0.655526 Generator_loss: 0.710322
[INFO] 2021-06-26 10:48:16 > Step: 30800 Progress: 15.4% Elapsed: 4 days, 4:34:20 temperature: 0.25 ada_p: No Discriminator_loss: 0.665412 Generator_loss: 0.69087
[INFO] 2021-06-26 11:07:31 > Step: 30900 Progress: 15.4% Elapsed: 4 days, 4:53:35 temperature: 0.25 ada_p: No Discriminator_loss: 0.667805 Generator_loss: 0.74918
[INFO] 2021-06-26 11:26:50 > Step: 31000 Progress: 15.5% Elapsed: 4 days, 5:12:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.699913 Generator_loss: 0.726704
[INFO] 2021-06-26 11:46:06 > Step: 31100 Progress: 15.6% Elapsed: 4 days, 5:32:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.661745 Generator_loss: 0.923903
[INFO] 2021-06-26 12:05:19 > Step: 31200 Progress: 15.6% Elapsed: 4 days, 5:51:24 temperature: 0.25 ada_p: No Discriminator_loss: 0.713141 Generator_loss: 0.682812
[INFO] 2021-06-26 12:24:37 > Step: 31300 Progress: 15.7% Elapsed: 4 days, 6:10:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.683671 Generator_loss: 0.776723
[INFO] 2021-06-26 12:43:53 > Step: 31400 Progress: 15.7% Elapsed: 4 days, 6:29:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.691819 Generator_loss: 0.678732
[INFO] 2021-06-26 13:03:11 > Step: 31500 Progress: 15.8% Elapsed: 4 days, 6:49:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.724585 Generator_loss: 0.69864
[INFO] 2021-06-26 13:22:32 > Step: 31600 Progress: 15.8% Elapsed: 4 days, 7:08:37 temperature: 0.25 ada_p: No Discriminator_loss: 0.659419 Generator_loss: 0.750821
[INFO] 2021-06-26 13:41:49 > Step: 31700 Progress: 15.8% Elapsed: 4 days, 7:27:53 temperature: 0.25 ada_p: No Discriminator_loss: 0.694256 Generator_loss: 0.702088
[INFO] 2021-06-26 14:01:04 > Step: 31800 Progress: 15.9% Elapsed: 4 days, 7:47:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.678491 Generator_loss: 0.700346
[INFO] 2021-06-26 14:20:16 > Step: 31900 Progress: 16.0% Elapsed: 4 days, 8:06:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.667729 Generator_loss: 0.703833
[INFO] 2021-06-26 14:39:34 > Step: 32000 Progress: 16.0% Elapsed: 4 days, 8:25:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.693683 Generator_loss: 0.681893
[INFO] 2021-06-26 14:39:34 > Start Evaluation (32000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 14:39:34 > Calculating FID Score....
[INFO] 2021-06-26 14:40:40 > Calculating Inception Score....
[INFO] 2021-06-26 14:41:34 > Calculate F_beta Score....
[INFO] 2021-06-26 14:44:03 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-26 14:44:03 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-26 14:44:07 > Calculate Accuracies....
[INFO] 2021-06-26 14:44:57 > Calculate Accuracies....
[INFO] 2021-06-26 14:45:48 > F_8 score (Step: 32000, Using valid images): 0.9023691833909194
[INFO] 2021-06-26 14:45:48 > F_1/8 score (Step: 32000, Using valid images): 0.9510082736829271
[INFO] 2021-06-26 14:45:48 > FID score (Step: 32000, Using valid moments): 23.582230090633857
[INFO] 2021-06-26 14:45:48 > Inception score (Step: 32000, 50000 generated images): 30.717185974121094
[INFO] 2021-06-26 14:45:48 > Best FID score (Step: 32000, Using valid moments): 23.582230090633857
[INFO] 2021-06-26 14:46:03 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 15:05:19 > Step: 32100 Progress: 16.1% Elapsed: 4 days, 8:51:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.638 Generator_loss: 0.715455
[INFO] 2021-06-26 15:24:34 > Step: 32200 Progress: 16.1% Elapsed: 4 days, 9:10:38 temperature: 0.25 ada_p: No Discriminator_loss: 0.656988 Generator_loss: 0.720036
[INFO] 2021-06-26 15:43:53 > Step: 32300 Progress: 16.2% Elapsed: 4 days, 9:29:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.685929 Generator_loss: 0.720723
[INFO] 2021-06-26 16:03:07 > Step: 32400 Progress: 16.2% Elapsed: 4 days, 9:49:12 temperature: 0.25 ada_p: No Discriminator_loss: 0.715109 Generator_loss: 0.675859
[INFO] 2021-06-26 16:22:19 > Step: 32500 Progress: 16.2% Elapsed: 4 days, 10:08:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.686757 Generator_loss: 0.726864
[INFO] 2021-06-26 16:41:41 > Step: 32600 Progress: 16.3% Elapsed: 4 days, 10:27:45 temperature: 0.25 ada_p: No Discriminator_loss: 0.637055 Generator_loss: 0.725049
[INFO] 2021-06-26 17:00:57 > Step: 32700 Progress: 16.4% Elapsed: 4 days, 10:47:02 temperature: 0.25 ada_p: No Discriminator_loss: 0.693685 Generator_loss: 0.681587
[INFO] 2021-06-26 17:20:17 > Step: 32800 Progress: 16.4% Elapsed: 4 days, 11:06:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.666317 Generator_loss: 0.68395
[INFO] 2021-06-26 17:39:37 > Step: 32900 Progress: 16.4% Elapsed: 4 days, 11:25:41 temperature: 0.25 ada_p: No Discriminator_loss: 0.689458 Generator_loss: 0.68692
[INFO] 2021-06-26 17:58:54 > Step: 33000 Progress: 16.5% Elapsed: 4 days, 11:44:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.685377 Generator_loss: 0.737
[INFO] 2021-06-26 18:18:09 > Step: 33100 Progress: 16.6% Elapsed: 4 days, 12:04:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.675869 Generator_loss: 0.679937
[INFO] 2021-06-26 18:37:34 > Step: 33200 Progress: 16.6% Elapsed: 4 days, 12:23:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.744977 Generator_loss: 0.681878
[INFO] 2021-06-26 18:56:51 > Step: 33300 Progress: 16.7% Elapsed: 4 days, 12:42:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.669758 Generator_loss: 0.752196
[INFO] 2021-06-26 19:16:06 > Step: 33400 Progress: 16.7% Elapsed: 4 days, 13:02:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.677411 Generator_loss: 0.720371
[INFO] 2021-06-26 19:35:29 > Step: 33500 Progress: 16.8% Elapsed: 4 days, 13:21:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.688701 Generator_loss: 0.69426
[INFO] 2021-06-26 19:54:45 > Step: 33600 Progress: 16.8% Elapsed: 4 days, 13:40:49 temperature: 0.25 ada_p: No Discriminator_loss: 0.66962 Generator_loss: 0.678074
[INFO] 2021-06-26 20:14:02 > Step: 33700 Progress: 16.9% Elapsed: 4 days, 14:00:06 temperature: 0.25 ada_p: No Discriminator_loss: 0.703478 Generator_loss: 0.704728
[INFO] 2021-06-26 20:33:22 > Step: 33800 Progress: 16.9% Elapsed: 4 days, 14:19:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.636471 Generator_loss: 0.719645
[INFO] 2021-06-26 20:52:39 > Step: 33900 Progress: 17.0% Elapsed: 4 days, 14:38:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.691657 Generator_loss: 0.695291
[INFO] 2021-06-26 21:11:54 > Step: 34000 Progress: 17.0% Elapsed: 4 days, 14:57:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.700371 Generator_loss: 0.684548
[INFO] 2021-06-26 21:11:54 > Start Evaluation (34000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 21:11:54 > Calculating FID Score....
[INFO] 2021-06-26 21:13:00 > Calculating Inception Score....
[INFO] 2021-06-26 21:13:54 > Calculate F_beta Score....
[INFO] 2021-06-26 21:16:33 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-26 21:16:34 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-26 21:16:36 > Calculate Accuracies....
[INFO] 2021-06-26 21:17:26 > Calculate Accuracies....
[INFO] 2021-06-26 21:18:17 > F_8 score (Step: 34000, Using valid images): 0.9071807502342543
[INFO] 2021-06-26 21:18:17 > F_1/8 score (Step: 34000, Using valid images): 0.9583862116190621
[INFO] 2021-06-26 21:18:17 > FID score (Step: 34000, Using valid moments): 22.612172810563493
[INFO] 2021-06-26 21:18:17 > Inception score (Step: 34000, 50000 generated images): 32.289249420166016
[INFO] 2021-06-26 21:18:17 > Best FID score (Step: 34000, Using valid moments): 22.612172810563493
[INFO] 2021-06-26 21:18:32 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-26 21:37:53 > Step: 34100 Progress: 17.1% Elapsed: 4 days, 15:23:58 temperature: 0.25 ada_p: No Discriminator_loss: 0.699545 Generator_loss: 0.692355
[INFO] 2021-06-26 21:57:10 > Step: 34200 Progress: 17.1% Elapsed: 4 days, 15:43:14 temperature: 0.25 ada_p: No Discriminator_loss: 0.664734 Generator_loss: 0.715444
[INFO] 2021-06-26 22:16:28 > Step: 34300 Progress: 17.2% Elapsed: 4 days, 16:02:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.668167 Generator_loss: 0.702605
[INFO] 2021-06-26 22:35:46 > Step: 34400 Progress: 17.2% Elapsed: 4 days, 16:21:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.646858 Generator_loss: 0.689873
[INFO] 2021-06-26 22:55:08 > Step: 34500 Progress: 17.2% Elapsed: 4 days, 16:41:13 temperature: 0.25 ada_p: No Discriminator_loss: 0.640155 Generator_loss: 0.718827
[INFO] 2021-06-26 23:14:23 > Step: 34600 Progress: 17.3% Elapsed: 4 days, 17:00:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.680982 Generator_loss: 0.711389
[INFO] 2021-06-26 23:33:39 > Step: 34700 Progress: 17.3% Elapsed: 4 days, 17:19:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.640694 Generator_loss: 0.710969
[INFO] 2021-06-26 23:53:03 > Step: 34800 Progress: 17.4% Elapsed: 4 days, 17:39:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.619755 Generator_loss: 0.714735
[INFO] 2021-06-27 00:12:18 > Step: 34900 Progress: 17.4% Elapsed: 4 days, 17:58:23 temperature: 0.25 ada_p: No Discriminator_loss: 0.622344 Generator_loss: 0.737519
[INFO] 2021-06-27 00:31:34 > Step: 35000 Progress: 17.5% Elapsed: 4 days, 18:17:39 temperature: 0.25 ada_p: No Discriminator_loss: 0.701946 Generator_loss: 0.698334
[INFO] 2021-06-27 00:50:58 > Step: 35100 Progress: 17.5% Elapsed: 4 days, 18:37:03 temperature: 0.25 ada_p: No Discriminator_loss: 0.728711 Generator_loss: 0.694765
[INFO] 2021-06-27 01:10:13 > Step: 35200 Progress: 17.6% Elapsed: 4 days, 18:56:18 temperature: 0.25 ada_p: No Discriminator_loss: 0.646654 Generator_loss: 0.818139
[INFO] 2021-06-27 01:29:29 > Step: 35300 Progress: 17.6% Elapsed: 4 days, 19:15:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.645295 Generator_loss: 0.728546
[INFO] 2021-06-27 01:48:51 > Step: 35400 Progress: 17.7% Elapsed: 4 days, 19:34:56 temperature: 0.25 ada_p: No Discriminator_loss: 0.661229 Generator_loss: 0.761593
[INFO] 2021-06-27 02:08:07 > Step: 35500 Progress: 17.8% Elapsed: 4 days, 19:54:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.662732 Generator_loss: 0.731543
[INFO] 2021-06-27 02:27:23 > Step: 35600 Progress: 17.8% Elapsed: 4 days, 20:13:27 temperature: 0.25 ada_p: No Discriminator_loss: 0.620473 Generator_loss: 0.919232
[INFO] 2021-06-27 02:46:46 > Step: 35700 Progress: 17.8% Elapsed: 4 days, 20:32:51 temperature: 0.25 ada_p: No Discriminator_loss: 0.646551 Generator_loss: 0.72302
[INFO] 2021-06-27 03:06:03 > Step: 35800 Progress: 17.9% Elapsed: 4 days, 20:52:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.649936 Generator_loss: 0.832882
[INFO] 2021-06-27 03:25:21 > Step: 35900 Progress: 17.9% Elapsed: 4 days, 21:11:25 temperature: 0.25 ada_p: No Discriminator_loss: 0.648329 Generator_loss: 0.700539
[INFO] 2021-06-27 03:44:43 > Step: 36000 Progress: 18.0% Elapsed: 4 days, 21:30:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.662084 Generator_loss: 0.694169
[INFO] 2021-06-27 03:44:43 > Start Evaluation (36000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-27 03:44:43 > Calculating FID Score....
[INFO] 2021-06-27 03:45:49 > Calculating Inception Score....
[INFO] 2021-06-27 03:46:44 > Calculate F_beta Score....
[INFO] 2021-06-27 03:49:34 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-27 03:49:35 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-27 03:49:37 > Calculate Accuracies....
[INFO] 2021-06-27 03:50:28 > Calculate Accuracies....
[INFO] 2021-06-27 03:51:18 > F_8 score (Step: 36000, Using valid images): 0.914234098537487
[INFO] 2021-06-27 03:51:18 > F_1/8 score (Step: 36000, Using valid images): 0.9549215738393613
[INFO] 2021-06-27 03:51:18 > FID score (Step: 36000, Using valid moments): 21.554355765220635
[INFO] 2021-06-27 03:51:18 > Inception score (Step: 36000, 50000 generated images): 33.331722259521484
[INFO] 2021-06-27 03:51:18 > Best FID score (Step: 36000, Using valid moments): 21.554355765220635
[INFO] 2021-06-27 03:51:33 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-27 04:10:48 > Step: 36100 Progress: 18.1% Elapsed: 4 days, 21:56:52 temperature: 0.25 ada_p: No Discriminator_loss: 0.675772 Generator_loss: 0.734447
[INFO] 2021-06-27 04:30:04 > Step: 36200 Progress: 18.1% Elapsed: 4 days, 22:16:09 temperature: 0.25 ada_p: No Discriminator_loss: 0.655772 Generator_loss: 0.722679
[INFO] 2021-06-27 04:49:24 > Step: 36300 Progress: 18.1% Elapsed: 4 days, 22:35:28 temperature: 0.25 ada_p: No Discriminator_loss: 0.72463 Generator_loss: 0.69028
[INFO] 2021-06-27 05:08:39 > Step: 36400 Progress: 18.2% Elapsed: 4 days, 22:54:44 temperature: 0.25 ada_p: No Discriminator_loss: 0.684507 Generator_loss: 0.710513
[INFO] 2021-06-27 05:27:56 > Step: 36500 Progress: 18.2% Elapsed: 4 days, 23:14:00 temperature: 0.25 ada_p: No Discriminator_loss: 0.646945 Generator_loss: 0.691136
[INFO] 2021-06-27 05:47:12 > Step: 36600 Progress: 18.3% Elapsed: 4 days, 23:33:17 temperature: 0.25 ada_p: No Discriminator_loss: 0.659921 Generator_loss: 0.758549
[INFO] 2021-06-27 06:06:29 > Step: 36700 Progress: 18.4% Elapsed: 4 days, 23:52:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.72148 Generator_loss: 0.701441
[INFO] 2021-06-27 06:25:45 > Step: 36800 Progress: 18.4% Elapsed: 5 days, 0:11:50 temperature: 0.25 ada_p: No Discriminator_loss: 0.652725 Generator_loss: 0.705042
[INFO] 2021-06-27 06:45:04 > Step: 36900 Progress: 18.4% Elapsed: 5 days, 0:31:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.661116 Generator_loss: 0.721864
[INFO] 2021-06-27 07:04:24 > Step: 37000 Progress: 18.5% Elapsed: 5 days, 0:50:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.633078 Generator_loss: 0.732172
[INFO] 2021-06-27 07:23:39 > Step: 37100 Progress: 18.6% Elapsed: 5 days, 1:09:43 temperature: 0.25 ada_p: No Discriminator_loss: 0.607367 Generator_loss: 0.747321
[INFO] 2021-06-27 07:42:53 > Step: 37200 Progress: 18.6% Elapsed: 5 days, 1:28:57 temperature: 0.25 ada_p: No Discriminator_loss: 0.816567 Generator_loss: 0.628561
[INFO] 2021-06-27 08:02:12 > Step: 37300 Progress: 18.6% Elapsed: 5 days, 1:48:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.654238 Generator_loss: 0.729424
[INFO] 2021-06-27 08:21:27 > Step: 37400 Progress: 18.7% Elapsed: 5 days, 2:07:31 temperature: 0.25 ada_p: No Discriminator_loss: 0.632356 Generator_loss: 0.851907
[INFO] 2021-06-27 08:40:41 > Step: 37500 Progress: 18.8% Elapsed: 5 days, 2:26:46 temperature: 0.25 ada_p: No Discriminator_loss: 0.645181 Generator_loss: 0.722186
[INFO] 2021-06-27 09:00:02 > Step: 37600 Progress: 18.8% Elapsed: 5 days, 2:46:07 temperature: 0.25 ada_p: No Discriminator_loss: 0.628202 Generator_loss: 0.686247
[INFO] 2021-06-27 09:19:16 > Step: 37700 Progress: 18.9% Elapsed: 5 days, 3:05:21 temperature: 0.25 ada_p: No Discriminator_loss: 0.654138 Generator_loss: 0.737656
[INFO] 2021-06-27 09:38:33 > Step: 37800 Progress: 18.9% Elapsed: 5 days, 3:24:38 temperature: 0.25 ada_p: No Discriminator_loss: 0.67131 Generator_loss: 0.67843
[INFO] 2021-06-27 09:57:56 > Step: 37900 Progress: 18.9% Elapsed: 5 days, 3:44:01 temperature: 0.25 ada_p: No Discriminator_loss: 0.615367 Generator_loss: 0.751242
[INFO] 2021-06-27 10:17:13 > Step: 38000 Progress: 19.0% Elapsed: 5 days, 4:03:17 temperature: 0.25 ada_p: No Discriminator_loss: 0.619802 Generator_loss: 0.754116
[INFO] 2021-06-27 10:17:13 > Start Evaluation (38000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-27 10:17:13 > Calculating FID Score....
[INFO] 2021-06-27 10:18:18 > Calculating Inception Score....
[INFO] 2021-06-27 10:19:12 > Calculate F_beta Score....
[INFO] 2021-06-27 10:21:35 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-27 10:21:35 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-27 10:21:39 > Calculate Accuracies....
[INFO] 2021-06-27 10:22:28 > Calculate Accuracies....
[INFO] 2021-06-27 10:23:19 > F_8 score (Step: 38000, Using valid images): 0.9156367175029241
[INFO] 2021-06-27 10:23:19 > F_1/8 score (Step: 38000, Using valid images): 0.9603100289291814
[INFO] 2021-06-27 10:23:19 > FID score (Step: 38000, Using valid moments): 20.68072571150242
[INFO] 2021-06-27 10:23:19 > Inception score (Step: 38000, 50000 generated images): 34.3124885559082
[INFO] 2021-06-27 10:23:19 > Best FID score (Step: 38000, Using valid moments): 20.68072571150242
[INFO] 2021-06-27 10:23:33 > Save model to checkpoints/CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-27 10:42:50 > Step: 38100 Progress: 19.1% Elapsed: 5 days, 4:28:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.630357 Generator_loss: 0.709035
[INFO] 2021-06-27 11:02:12 > Step: 38200 Progress: 19.1% Elapsed: 5 days, 4:48:16 temperature: 0.25 ada_p: No Discriminator_loss: 0.657284 Generator_loss: 0.699701
[INFO] 2021-06-27 11:21:27 > Step: 38300 Progress: 19.1% Elapsed: 5 days, 5:07:32 temperature: 0.25 ada_p: No Discriminator_loss: 0.632245 Generator_loss: 0.752488
[INFO] 2021-06-27 11:40:43 > Step: 38400 Progress: 19.2% Elapsed: 5 days, 5:26:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.644228 Generator_loss: 0.725365
[INFO] 2021-06-27 12:00:04 > Step: 38500 Progress: 19.2% Elapsed: 5 days, 5:46:08 temperature: 0.25 ada_p: No Discriminator_loss: 0.631228 Generator_loss: 0.717579
[INFO] 2021-06-27 12:19:20 > Step: 38600 Progress: 19.3% Elapsed: 5 days, 6:05:24 temperature: 0.25 ada_p: No Discriminator_loss: 0.638035 Generator_loss: 0.722489
[INFO] 2021-06-27 12:38:35 > Step: 38700 Progress: 19.4% Elapsed: 5 days, 6:24:40 temperature: 0.25 ada_p: No Discriminator_loss: 0.619281 Generator_loss: 0.771095
[INFO] 2021-06-27 12:57:56 > Step: 38800 Progress: 19.4% Elapsed: 5 days, 6:44:01 temperature: 0.25 ada_p: No Discriminator_loss: 0.715369 Generator_loss: 0.647894
[INFO] 2021-06-27 13:17:10 > Step: 38900 Progress: 19.4% Elapsed: 5 days, 7:03:15 temperature: 0.25 ada_p: No Discriminator_loss: 0.660373 Generator_loss: 0.728373
[INFO] 2021-06-27 13:36:24 > Step: 39000 Progress: 19.5% Elapsed: 5 days, 7:22:29 temperature: 0.25 ada_p: No Discriminator_loss: 0.676513 Generator_loss: 0.724595
[INFO] 2021-06-27 13:55:43 > Step: 39100 Progress: 19.6% Elapsed: 5 days, 7:41:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.638457 Generator_loss: 0.714494
[INFO] 2021-06-27 14:15:00 > Step: 39200 Progress: 19.6% Elapsed: 5 days, 8:01:04 temperature: 0.25 ada_p: No Discriminator_loss: 0.663275 Generator_loss: 0.693449
[INFO] 2021-06-27 14:34:15 > Step: 39300 Progress: 19.7% Elapsed: 5 days, 8:20:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.910087 Generator_loss: 0.57996
[INFO] 2021-06-27 14:53:29 > Step: 39400 Progress: 19.7% Elapsed: 5 days, 8:39:33 temperature: 0.25 ada_p: No Discriminator_loss: 0.644315 Generator_loss: 0.736007
[INFO] 2021-06-27 15:12:51 > Step: 39500 Progress: 19.8% Elapsed: 5 days, 8:58:55 temperature: 0.25 ada_p: No Discriminator_loss: 0.669796 Generator_loss: 0.667838
[INFO] 2021-06-27 15:32:06 > Step: 39600 Progress: 19.8% Elapsed: 5 days, 9:18:11 temperature: 0.25 ada_p: No Discriminator_loss: 0.631836 Generator_loss: 0.703022
[INFO] 2021-06-27 15:51:21 > Step: 39700 Progress: 19.9% Elapsed: 5 days, 9:37:26 temperature: 0.25 ada_p: No Discriminator_loss: 0.618959 Generator_loss: 0.913123
[INFO] 2021-06-27 16:10:43 > Step: 39800 Progress: 19.9% Elapsed: 5 days, 9:56:48 temperature: 0.25 ada_p: No Discriminator_loss: 0.634594 Generator_loss: 0.75539
[INFO] 2021-06-27 16:30:00 > Step: 39900 Progress: 20.0% Elapsed: 5 days, 10:16:05 temperature: 0.25 ada_p: No Discriminator_loss: 0.615808 Generator_loss: 0.759058
[INFO] 2021-06-27 16:49:14 > Step: 40000 Progress: 20.0% Elapsed: 5 days, 10:35:19 temperature: 0.25 ada_p: No Discriminator_loss: 0.638768 Generator_loss: 0.711986
[INFO] 2021-06-27 16:49:14 > Start Evaluation (40000 Step): CCMGAN2048-train-2021_06_22_06_11_37
[INFO] 2021-06-27 16:49:14 > Calculating FID Score....
[INFO] 2021-06-27 16:50:19 > Calculating Inception Score....
[INFO] 2021-06-27 16:51:13 > Calculate F_beta Score....
[INFO] 2021-06-27 16:53:49 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/pr_curve.png
[INFO] 2021-06-27 16:53:50 > Save image to ./figures/CCMGAN2048-train-2021_06_22_06_11_37/sim_heatmap.png
[INFO] 2021-06-27 16:53:53 > Calculate Accuracies....