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DiffAugGAN(C)-train-2021_01_17_04_59_40.log
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[INFO] 2021-01-17 04:59:40 > Run name : DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 04:59:40 > {'config_path': 'src/configs/TINY_ILSVRC2012/DiffAugGAN(C).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-17 04:59:40 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 768, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 3, 'attention_after_nth_dis_block': 1, 'z_dim': 100, 'shared_dim': 128, 'g_conv_dim': 80, 'd_conv_dim': 80, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 1024, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 200000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 1.0, 'margin': 0.0, 'tempering_type': 'constant', 'tempering_step': 'N/A', 'start_temperature': 1.0, 'end_temperature': 1.0, 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': True, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 20000}}}
[INFO] 2021-01-17 04:59:40 > Load train datasets...
[INFO] 2021-01-17 04:59:42 > Train dataset size : 100000
[INFO] 2021-01-17 04:59:42 > Load valid datasets...
[INFO] 2021-01-17 04:59:42 > Eval dataset size : 10000
[INFO] 2021-01-17 04:59:42 > Build model...
[INFO] 2021-01-17 04:59:42 > Modules are located on models.big_resnet.
[INFO] 2021-01-17 04:59:46 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-17 04:59:46 > Number of parameters: 17335204
[INFO] 2021-01-17 04:59:46 > Generator(
(linear0): Linear(in_features=20, out_features=20480, bias=True)
(shared): Embedding(200, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1280, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1280, bias=False)
(bias): Linear(in_features=148, out_features=1280, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1280, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1280, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(4): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=80, bias=False)
(bias): Linear(in_features=148, out_features=80, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(80, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-17 04:59:46 > Number of parameters: 31678130
[INFO] 2021-01-17 04:59:46 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(80, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(40, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(80, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 1280, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=1280, out_features=1, bias=True)
(linear2): Linear(in_features=1280, out_features=768, bias=True)
(embedding): Embedding(200, 768)
)
[INFO] 2021-01-17 04:59:49 > Start training....
[INFO] 2021-01-17 05:03:03 > Step: 100 Progress: 0.1% Elapsed: 0:03:14 temperature: 1.0 ada_p: No Discriminator_loss: 7.00898 Generator_loss: 5.17727
[INFO] 2021-01-17 05:06:00 > Step: 200 Progress: 0.1% Elapsed: 0:06:11 temperature: 1.0 ada_p: No Discriminator_loss: 7.15066 Generator_loss: 4.7997
[INFO] 2021-01-17 05:09:00 > Step: 300 Progress: 0.1% Elapsed: 0:09:11 temperature: 1.0 ada_p: No Discriminator_loss: 7.12359 Generator_loss: 5.14337
[INFO] 2021-01-17 05:12:03 > Step: 400 Progress: 0.2% Elapsed: 0:12:13 temperature: 1.0 ada_p: No Discriminator_loss: 7.07742 Generator_loss: 4.96884
[INFO] 2021-01-17 05:15:00 > Step: 500 Progress: 0.2% Elapsed: 0:15:11 temperature: 1.0 ada_p: No Discriminator_loss: 7.30963 Generator_loss: 5.68155
[INFO] 2021-01-17 05:17:57 > Step: 600 Progress: 0.3% Elapsed: 0:18:08 temperature: 1.0 ada_p: No Discriminator_loss: 7.13499 Generator_loss: 4.91601
[INFO] 2021-01-17 05:20:54 > Step: 700 Progress: 0.4% Elapsed: 0:21:05 temperature: 1.0 ada_p: No Discriminator_loss: 7.11163 Generator_loss: 5.00434
[INFO] 2021-01-17 05:23:51 > Step: 800 Progress: 0.4% Elapsed: 0:24:02 temperature: 1.0 ada_p: No Discriminator_loss: 7.11599 Generator_loss: 4.67345
[INFO] 2021-01-17 05:26:48 > Step: 900 Progress: 0.4% Elapsed: 0:26:59 temperature: 1.0 ada_p: No Discriminator_loss: 7.04668 Generator_loss: 4.26661
[INFO] 2021-01-17 05:29:45 > Step: 1000 Progress: 0.5% Elapsed: 0:29:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.9706 Generator_loss: 5.61704
[INFO] 2021-01-17 05:32:42 > Step: 1100 Progress: 0.5% Elapsed: 0:32:53 temperature: 1.0 ada_p: No Discriminator_loss: 7.11944 Generator_loss: 3.99085
[INFO] 2021-01-17 05:35:39 > Step: 1200 Progress: 0.6% Elapsed: 0:35:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.8319 Generator_loss: 4.97932
[INFO] 2021-01-17 05:38:36 > Step: 1300 Progress: 0.7% Elapsed: 0:38:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.90173 Generator_loss: 5.31646
[INFO] 2021-01-17 05:41:33 > Step: 1400 Progress: 0.7% Elapsed: 0:41:44 temperature: 1.0 ada_p: No Discriminator_loss: 7.0065 Generator_loss: 4.61202
[INFO] 2021-01-17 05:44:30 > Step: 1500 Progress: 0.8% Elapsed: 0:44:41 temperature: 1.0 ada_p: No Discriminator_loss: 7.00442 Generator_loss: 5.13584
[INFO] 2021-01-17 05:47:27 > Step: 1600 Progress: 0.8% Elapsed: 0:47:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.79735 Generator_loss: 5.73514
[INFO] 2021-01-17 05:50:24 > Step: 1700 Progress: 0.9% Elapsed: 0:50:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.94965 Generator_loss: 5.2694
[INFO] 2021-01-17 05:53:21 > Step: 1800 Progress: 0.9% Elapsed: 0:53:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.79534 Generator_loss: 5.58463
[INFO] 2021-01-17 05:56:18 > Step: 1900 Progress: 0.9% Elapsed: 0:56:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.84366 Generator_loss: 4.95664
[INFO] 2021-01-17 05:59:16 > Step: 2000 Progress: 1.0% Elapsed: 0:59:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.8002 Generator_loss: 5.22527
[INFO] 2021-01-17 05:59:16 > Start Evaluation (2000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 05:59:16 > Calculating FID Score....
[INFO] 2021-01-17 06:00:52 > Calculating Inception Score....
[INFO] 2021-01-17 06:01:00 > Calculate F_beta Score....
[INFO] 2021-01-17 06:20:17 > Calculate Accuracies....
[INFO] 2021-01-17 06:20:23 > Calculate Accuracies....
[INFO] 2021-01-17 06:21:05 > F_8 score (Step: 2000, Using valid images): 0.10710965352808398
[INFO] 2021-01-17 06:21:05 > F_1/8 score (Step: 2000, Using valid images): 0.3128912261349106
[INFO] 2021-01-17 06:21:05 > FID score (Step: 2000, Using valid moments): 138.80224333193837
[INFO] 2021-01-17 06:21:05 > Inception score (Step: 2000, 10000 generated images): 4.448545932769775
[INFO] 2021-01-17 06:21:05 > Best FID score (Step: 2000, Using valid moments): 138.80224333193837
[INFO] 2021-01-17 06:21:09 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 06:24:07 > Step: 2100 Progress: 1.1% Elapsed: 1:24:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.82777 Generator_loss: 5.16933
[INFO] 2021-01-17 06:27:03 > Step: 2200 Progress: 1.1% Elapsed: 1:27:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.85478 Generator_loss: 5.2956
[INFO] 2021-01-17 06:30:00 > Step: 2300 Progress: 1.1% Elapsed: 1:30:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.83199 Generator_loss: 4.94126
[INFO] 2021-01-17 06:32:57 > Step: 2400 Progress: 1.2% Elapsed: 1:33:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.76681 Generator_loss: 5.5888
[INFO] 2021-01-17 06:35:54 > Step: 2500 Progress: 1.2% Elapsed: 1:36:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.88987 Generator_loss: 4.2736
[INFO] 2021-01-17 06:38:50 > Step: 2600 Progress: 1.3% Elapsed: 1:39:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.84904 Generator_loss: 5.22696
[INFO] 2021-01-17 06:41:47 > Step: 2700 Progress: 1.4% Elapsed: 1:41:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.76208 Generator_loss: 5.26859
[INFO] 2021-01-17 06:44:43 > Step: 2800 Progress: 1.4% Elapsed: 1:44:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.88105 Generator_loss: 5.41435
[INFO] 2021-01-17 06:47:40 > Step: 2900 Progress: 1.5% Elapsed: 1:47:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.74226 Generator_loss: 3.83613
[INFO] 2021-01-17 06:50:37 > Step: 3000 Progress: 1.5% Elapsed: 1:50:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.87441 Generator_loss: 5.63764
[INFO] 2021-01-17 06:53:34 > Step: 3100 Progress: 1.6% Elapsed: 1:53:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.7582 Generator_loss: 5.15676
[INFO] 2021-01-17 06:56:32 > Step: 3200 Progress: 1.6% Elapsed: 1:56:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.92284 Generator_loss: 4.37876
[INFO] 2021-01-17 06:59:31 > Step: 3300 Progress: 1.7% Elapsed: 1:59:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.88811 Generator_loss: 5.04287
[INFO] 2021-01-17 07:02:29 > Step: 3400 Progress: 1.7% Elapsed: 2:02:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.58998 Generator_loss: 4.17025
[INFO] 2021-01-17 07:05:27 > Step: 3500 Progress: 1.8% Elapsed: 2:05:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.95112 Generator_loss: 4.6539
[INFO] 2021-01-17 07:08:24 > Step: 3600 Progress: 1.8% Elapsed: 2:08:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.68781 Generator_loss: 4.79311
[INFO] 2021-01-17 07:11:23 > Step: 3700 Progress: 1.8% Elapsed: 2:11:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.70579 Generator_loss: 4.52125
[INFO] 2021-01-17 07:14:20 > Step: 3800 Progress: 1.9% Elapsed: 2:14:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.99166 Generator_loss: 4.37646
[INFO] 2021-01-17 07:17:18 > Step: 3900 Progress: 1.9% Elapsed: 2:17:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.69131 Generator_loss: 5.03649
[INFO] 2021-01-17 07:20:15 > Step: 4000 Progress: 2.0% Elapsed: 2:20:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.53183 Generator_loss: 4.49962
[INFO] 2021-01-17 07:20:15 > Start Evaluation (4000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 07:20:15 > Calculating FID Score....
[INFO] 2021-01-17 07:20:31 > Calculating Inception Score....
[INFO] 2021-01-17 07:20:38 > Calculate F_beta Score....
[INFO] 2021-01-17 07:21:30 > Calculate Accuracies....
[INFO] 2021-01-17 07:21:36 > Calculate Accuracies....
[INFO] 2021-01-17 07:21:49 > F_8 score (Step: 4000, Using valid images): 0.3837004917044399
[INFO] 2021-01-17 07:21:49 > F_1/8 score (Step: 4000, Using valid images): 0.646461008604578
[INFO] 2021-01-17 07:21:49 > FID score (Step: 4000, Using valid moments): 90.3863583198401
[INFO] 2021-01-17 07:21:49 > Inception score (Step: 4000, 10000 generated images): 5.495893478393555
[INFO] 2021-01-17 07:21:49 > Best FID score (Step: 4000, Using valid moments): 90.3863583198401
[INFO] 2021-01-17 07:21:52 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 07:24:50 > Step: 4100 Progress: 2.1% Elapsed: 2:25:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.66677 Generator_loss: 5.43659
[INFO] 2021-01-17 07:27:47 > Step: 4200 Progress: 2.1% Elapsed: 2:27:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.7431 Generator_loss: 3.67848
[INFO] 2021-01-17 07:30:45 > Step: 4300 Progress: 2.1% Elapsed: 2:30:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.69033 Generator_loss: 4.22731
[INFO] 2021-01-17 07:33:42 > Step: 4400 Progress: 2.2% Elapsed: 2:33:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.65209 Generator_loss: 4.13346
[INFO] 2021-01-17 07:36:38 > Step: 4500 Progress: 2.2% Elapsed: 2:36:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.73424 Generator_loss: 5.43395
[INFO] 2021-01-17 07:39:35 > Step: 4600 Progress: 2.3% Elapsed: 2:39:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.76261 Generator_loss: 4.38279
[INFO] 2021-01-17 07:42:33 > Step: 4700 Progress: 2.4% Elapsed: 2:42:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.61673 Generator_loss: 5.32651
[INFO] 2021-01-17 07:45:31 > Step: 4800 Progress: 2.4% Elapsed: 2:45:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.913 Generator_loss: 4.24488
[INFO] 2021-01-17 07:48:29 > Step: 4900 Progress: 2.5% Elapsed: 2:48:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.73982 Generator_loss: 5.10851
[INFO] 2021-01-17 07:51:28 > Step: 5000 Progress: 2.5% Elapsed: 2:51:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.75196 Generator_loss: 5.22452
[INFO] 2021-01-17 07:54:28 > Step: 5100 Progress: 2.5% Elapsed: 2:54:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.66105 Generator_loss: 5.10363
[INFO] 2021-01-17 07:57:26 > Step: 5200 Progress: 2.6% Elapsed: 2:57:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.96974 Generator_loss: 4.30598
[INFO] 2021-01-17 08:00:24 > Step: 5300 Progress: 2.6% Elapsed: 3:00:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.63418 Generator_loss: 5.12298
[INFO] 2021-01-17 08:03:23 > Step: 5400 Progress: 2.7% Elapsed: 3:03:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.71033 Generator_loss: 4.80178
[INFO] 2021-01-17 08:06:21 > Step: 5500 Progress: 2.8% Elapsed: 3:06:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.71945 Generator_loss: 5.05762
[INFO] 2021-01-17 08:09:19 > Step: 5600 Progress: 2.8% Elapsed: 3:09:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.78737 Generator_loss: 5.18415
[INFO] 2021-01-17 08:12:18 > Step: 5700 Progress: 2.9% Elapsed: 3:12:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.6771 Generator_loss: 3.77568
[INFO] 2021-01-17 08:15:16 > Step: 5800 Progress: 2.9% Elapsed: 3:15:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.66337 Generator_loss: 5.08698
[INFO] 2021-01-17 08:18:16 > Step: 5900 Progress: 2.9% Elapsed: 3:18:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.74982 Generator_loss: 4.43614
[INFO] 2021-01-17 08:21:14 > Step: 6000 Progress: 3.0% Elapsed: 3:21:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.56846 Generator_loss: 5.50269
[INFO] 2021-01-17 08:21:14 > Start Evaluation (6000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 08:21:14 > Calculating FID Score....
[INFO] 2021-01-17 08:24:28 > Calculating Inception Score....
[INFO] 2021-01-17 08:24:36 > Calculate F_beta Score....
[INFO] 2021-01-17 08:28:46 > Calculate Accuracies....
[INFO] 2021-01-17 08:28:52 > Calculate Accuracies....
[INFO] 2021-01-17 08:29:05 > F_8 score (Step: 6000, Using valid images): 0.5674332312921334
[INFO] 2021-01-17 08:29:05 > F_1/8 score (Step: 6000, Using valid images): 0.8175759752940644
[INFO] 2021-01-17 08:29:05 > FID score (Step: 6000, Using valid moments): 67.31694204919057
[INFO] 2021-01-17 08:29:05 > Inception score (Step: 6000, 10000 generated images): 6.941476821899414
[INFO] 2021-01-17 08:29:05 > Best FID score (Step: 6000, Using valid moments): 67.31694204919057
[INFO] 2021-01-17 08:29:08 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 08:32:04 > Step: 6100 Progress: 3.0% Elapsed: 3:32:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.95959 Generator_loss: 5.22451
[INFO] 2021-01-17 08:35:01 > Step: 6200 Progress: 3.1% Elapsed: 3:35:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.66466 Generator_loss: 4.62803
[INFO] 2021-01-17 08:37:59 > Step: 6300 Progress: 3.1% Elapsed: 3:38:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.66469 Generator_loss: 4.49059
[INFO] 2021-01-17 08:40:55 > Step: 6400 Progress: 3.2% Elapsed: 3:41:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.69384 Generator_loss: 4.56911
[INFO] 2021-01-17 08:43:53 > Step: 6500 Progress: 3.2% Elapsed: 3:44:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.87778 Generator_loss: 5.03519
[INFO] 2021-01-17 08:46:50 > Step: 6600 Progress: 3.3% Elapsed: 3:47:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.68404 Generator_loss: 5.45899
[INFO] 2021-01-17 08:49:47 > Step: 6700 Progress: 3.4% Elapsed: 3:49:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.69014 Generator_loss: 4.6656
[INFO] 2021-01-17 08:52:44 > Step: 6800 Progress: 3.4% Elapsed: 3:52:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.70129 Generator_loss: 5.30424
[INFO] 2021-01-17 08:55:41 > Step: 6900 Progress: 3.5% Elapsed: 3:55:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.64845 Generator_loss: 4.31115
[INFO] 2021-01-17 08:58:37 > Step: 7000 Progress: 3.5% Elapsed: 3:58:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.60771 Generator_loss: 4.33657
[INFO] 2021-01-17 09:01:34 > Step: 7100 Progress: 3.5% Elapsed: 4:01:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.62054 Generator_loss: 4.68063
[INFO] 2021-01-17 09:04:31 > Step: 7200 Progress: 3.6% Elapsed: 4:04:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.5962 Generator_loss: 5.0118
[INFO] 2021-01-17 09:07:28 > Step: 7300 Progress: 3.6% Elapsed: 4:07:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.79516 Generator_loss: 5.18892
[INFO] 2021-01-17 09:10:25 > Step: 7400 Progress: 3.7% Elapsed: 4:10:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.58172 Generator_loss: 5.2859
[INFO] 2021-01-17 09:13:22 > Step: 7500 Progress: 3.8% Elapsed: 4:13:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.5779 Generator_loss: 5.47636
[INFO] 2021-01-17 09:16:19 > Step: 7600 Progress: 3.8% Elapsed: 4:16:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.5517 Generator_loss: 4.65915
[INFO] 2021-01-17 09:19:16 > Step: 7700 Progress: 3.9% Elapsed: 4:19:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.53054 Generator_loss: 4.97462
[INFO] 2021-01-17 09:22:14 > Step: 7800 Progress: 3.9% Elapsed: 4:22:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.42385 Generator_loss: 4.90834
[INFO] 2021-01-17 09:25:13 > Step: 7900 Progress: 4.0% Elapsed: 4:25:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.59761 Generator_loss: 5.32663
[INFO] 2021-01-17 09:28:10 > Step: 8000 Progress: 4.0% Elapsed: 4:28:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.48229 Generator_loss: 4.11238
[INFO] 2021-01-17 09:28:10 > Start Evaluation (8000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 09:28:10 > Calculating FID Score....
[INFO] 2021-01-17 09:28:26 > Calculating Inception Score....
[INFO] 2021-01-17 09:28:33 > Calculate F_beta Score....
[INFO] 2021-01-17 09:29:21 > Calculate Accuracies....
[INFO] 2021-01-17 09:29:27 > Calculate Accuracies....
[INFO] 2021-01-17 09:29:39 > F_8 score (Step: 8000, Using valid images): 0.6218138687282017
[INFO] 2021-01-17 09:29:39 > F_1/8 score (Step: 8000, Using valid images): 0.8354711550511381
[INFO] 2021-01-17 09:29:39 > FID score (Step: 8000, Using valid moments): 61.000804440221316
[INFO] 2021-01-17 09:29:39 > Inception score (Step: 8000, 10000 generated images): 7.9698805809021
[INFO] 2021-01-17 09:29:39 > Best FID score (Step: 8000, Using valid moments): 61.000804440221316
[INFO] 2021-01-17 09:29:43 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 09:32:40 > Step: 8100 Progress: 4.0% Elapsed: 4:32:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.59134 Generator_loss: 5.0075
[INFO] 2021-01-17 09:35:37 > Step: 8200 Progress: 4.1% Elapsed: 4:35:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.68041 Generator_loss: 4.83526
[INFO] 2021-01-17 09:38:33 > Step: 8300 Progress: 4.2% Elapsed: 4:38:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.68025 Generator_loss: 4.3968
[INFO] 2021-01-17 09:41:30 > Step: 8400 Progress: 4.2% Elapsed: 4:41:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.78413 Generator_loss: 5.1074
[INFO] 2021-01-17 09:44:28 > Step: 8500 Progress: 4.2% Elapsed: 4:44:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.62643 Generator_loss: 4.99715
[INFO] 2021-01-17 09:47:25 > Step: 8600 Progress: 4.3% Elapsed: 4:47:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.56556 Generator_loss: 4.34322
[INFO] 2021-01-17 09:50:23 > Step: 8700 Progress: 4.3% Elapsed: 4:50:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.66847 Generator_loss: 4.33724
[INFO] 2021-01-17 09:53:20 > Step: 8800 Progress: 4.4% Elapsed: 4:53:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.65788 Generator_loss: 3.75636
[INFO] 2021-01-17 09:56:17 > Step: 8900 Progress: 4.5% Elapsed: 4:56:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.43163 Generator_loss: 5.2492
[INFO] 2021-01-17 09:59:14 > Step: 9000 Progress: 4.5% Elapsed: 4:59:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.56654 Generator_loss: 4.78463
[INFO] 2021-01-17 10:02:12 > Step: 9100 Progress: 4.5% Elapsed: 5:02:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.71884 Generator_loss: 4.70695
[INFO] 2021-01-17 10:05:10 > Step: 9200 Progress: 4.6% Elapsed: 5:05:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.58735 Generator_loss: 4.05175
[INFO] 2021-01-17 10:08:08 > Step: 9300 Progress: 4.7% Elapsed: 5:08:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.58337 Generator_loss: 5.67154
[INFO] 2021-01-17 10:11:05 > Step: 9400 Progress: 4.7% Elapsed: 5:11:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.63996 Generator_loss: 4.60711
[INFO] 2021-01-17 10:14:03 > Step: 9500 Progress: 4.8% Elapsed: 5:14:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.46541 Generator_loss: 5.21874
[INFO] 2021-01-17 10:17:00 > Step: 9600 Progress: 4.8% Elapsed: 5:17:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.44234 Generator_loss: 5.21798
[INFO] 2021-01-17 10:20:00 > Step: 9700 Progress: 4.9% Elapsed: 5:20:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.46511 Generator_loss: 4.53635
[INFO] 2021-01-17 10:23:01 > Step: 9800 Progress: 4.9% Elapsed: 5:23:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.62837 Generator_loss: 4.46213
[INFO] 2021-01-17 10:25:59 > Step: 9900 Progress: 5.0% Elapsed: 5:26:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.42655 Generator_loss: 4.81774
[INFO] 2021-01-17 10:28:57 > Step: 10000 Progress: 5.0% Elapsed: 5:29:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.43978 Generator_loss: 5.18289
[INFO] 2021-01-17 10:28:57 > Start Evaluation (10000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 10:28:57 > Calculating FID Score....
[INFO] 2021-01-17 10:34:29 > Calculating Inception Score....
[INFO] 2021-01-17 10:34:37 > Calculate F_beta Score....
[INFO] 2021-01-17 10:45:45 > Calculate Accuracies....
[INFO] 2021-01-17 10:45:51 > Calculate Accuracies....
[INFO] 2021-01-17 10:47:03 > F_8 score (Step: 10000, Using valid images): 0.6679338611851281
[INFO] 2021-01-17 10:47:03 > F_1/8 score (Step: 10000, Using valid images): 0.9119555477319966
[INFO] 2021-01-17 10:47:03 > FID score (Step: 10000, Using valid moments): 49.42859463752103
[INFO] 2021-01-17 10:47:03 > Inception score (Step: 10000, 10000 generated images): 8.990324020385742
[INFO] 2021-01-17 10:47:03 > Best FID score (Step: 10000, Using valid moments): 49.42859463752103
[INFO] 2021-01-17 10:47:07 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 10:50:06 > Step: 10100 Progress: 5.1% Elapsed: 5:50:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.69957 Generator_loss: 5.15543
[INFO] 2021-01-17 10:53:03 > Step: 10200 Progress: 5.1% Elapsed: 5:53:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.65307 Generator_loss: 3.83843
[INFO] 2021-01-17 10:56:00 > Step: 10300 Progress: 5.1% Elapsed: 5:56:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.60819 Generator_loss: 4.64618
[INFO] 2021-01-17 10:58:57 > Step: 10400 Progress: 5.2% Elapsed: 5:59:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.47657 Generator_loss: 5.29909
[INFO] 2021-01-17 11:01:54 > Step: 10500 Progress: 5.2% Elapsed: 6:02:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.78856 Generator_loss: 5.42188
[INFO] 2021-01-17 11:04:52 > Step: 10600 Progress: 5.3% Elapsed: 6:05:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.54719 Generator_loss: 5.11132
[INFO] 2021-01-17 11:07:49 > Step: 10700 Progress: 5.3% Elapsed: 6:08:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.55015 Generator_loss: 5.03495
[INFO] 2021-01-17 11:10:47 > Step: 10800 Progress: 5.4% Elapsed: 6:10:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.58664 Generator_loss: 5.47725
[INFO] 2021-01-17 11:13:44 > Step: 10900 Progress: 5.5% Elapsed: 6:13:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.73725 Generator_loss: 4.81682
[INFO] 2021-01-17 11:16:42 > Step: 11000 Progress: 5.5% Elapsed: 6:16:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.59718 Generator_loss: 5.20485
[INFO] 2021-01-17 11:19:39 > Step: 11100 Progress: 5.5% Elapsed: 6:19:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.54845 Generator_loss: 5.14021
[INFO] 2021-01-17 11:22:36 > Step: 11200 Progress: 5.6% Elapsed: 6:22:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.4188 Generator_loss: 4.08255
[INFO] 2021-01-17 11:25:33 > Step: 11300 Progress: 5.7% Elapsed: 6:25:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.62384 Generator_loss: 4.66745
[INFO] 2021-01-17 11:28:31 > Step: 11400 Progress: 5.7% Elapsed: 6:28:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.4356 Generator_loss: 5.13075
[INFO] 2021-01-17 11:31:29 > Step: 11500 Progress: 5.8% Elapsed: 6:31:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.45696 Generator_loss: 4.95389
[INFO] 2021-01-17 11:34:26 > Step: 11600 Progress: 5.8% Elapsed: 6:34:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.40935 Generator_loss: 5.02879
[INFO] 2021-01-17 11:37:23 > Step: 11700 Progress: 5.9% Elapsed: 6:37:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.66031 Generator_loss: 5.31442
[INFO] 2021-01-17 11:40:21 > Step: 11800 Progress: 5.9% Elapsed: 6:40:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.67407 Generator_loss: 4.85454
[INFO] 2021-01-17 11:43:18 > Step: 11900 Progress: 5.9% Elapsed: 6:43:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.42478 Generator_loss: 4.2048
[INFO] 2021-01-17 11:46:15 > Step: 12000 Progress: 6.0% Elapsed: 6:46:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.39347 Generator_loss: 5.40627
[INFO] 2021-01-17 11:46:15 > Start Evaluation (12000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 11:46:15 > Calculating FID Score....
[INFO] 2021-01-17 11:46:30 > Calculating Inception Score....
[INFO] 2021-01-17 11:46:38 > Calculate F_beta Score....
[INFO] 2021-01-17 11:47:26 > Calculate Accuracies....
[INFO] 2021-01-17 11:47:31 > Calculate Accuracies....
[INFO] 2021-01-17 11:47:45 > F_8 score (Step: 12000, Using valid images): 0.6763119812709836
[INFO] 2021-01-17 11:47:45 > F_1/8 score (Step: 12000, Using valid images): 0.9169491853619101
[INFO] 2021-01-17 11:47:45 > FID score (Step: 12000, Using valid moments): 46.89153566771847
[INFO] 2021-01-17 11:47:45 > Inception score (Step: 12000, 10000 generated images): 9.496023178100586
[INFO] 2021-01-17 11:47:45 > Best FID score (Step: 12000, Using valid moments): 46.89153566771847
[INFO] 2021-01-17 11:47:48 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 11:50:45 > Step: 12100 Progress: 6.0% Elapsed: 6:50:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.38754 Generator_loss: 3.99396
[INFO] 2021-01-17 11:53:42 > Step: 12200 Progress: 6.1% Elapsed: 6:53:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.66014 Generator_loss: 4.44167
[INFO] 2021-01-17 11:56:39 > Step: 12300 Progress: 6.2% Elapsed: 6:56:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.37449 Generator_loss: 4.35842
[INFO] 2021-01-17 11:59:35 > Step: 12400 Progress: 6.2% Elapsed: 6:59:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.47277 Generator_loss: 5.03484
[INFO] 2021-01-17 12:02:33 > Step: 12500 Progress: 6.2% Elapsed: 7:02:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.52489 Generator_loss: 4.79791
[INFO] 2021-01-17 12:05:31 > Step: 12600 Progress: 6.3% Elapsed: 7:05:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.50526 Generator_loss: 4.37694
[INFO] 2021-01-17 12:08:28 > Step: 12700 Progress: 6.3% Elapsed: 7:08:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.45917 Generator_loss: 5.05587
[INFO] 2021-01-17 12:11:25 > Step: 12800 Progress: 6.4% Elapsed: 7:11:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.60574 Generator_loss: 5.50251
[INFO] 2021-01-17 12:14:24 > Step: 12900 Progress: 6.5% Elapsed: 7:14:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.29851 Generator_loss: 4.47201
[INFO] 2021-01-17 12:17:23 > Step: 13000 Progress: 6.5% Elapsed: 7:17:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.42429 Generator_loss: 4.58219
[INFO] 2021-01-17 12:20:21 > Step: 13100 Progress: 6.6% Elapsed: 7:20:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.48012 Generator_loss: 5.27778
[INFO] 2021-01-17 12:23:18 > Step: 13200 Progress: 6.6% Elapsed: 7:23:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.374 Generator_loss: 5.38665
[INFO] 2021-01-17 12:26:15 > Step: 13300 Progress: 6.7% Elapsed: 7:26:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.42982 Generator_loss: 5.32531
[INFO] 2021-01-17 12:29:13 > Step: 13400 Progress: 6.7% Elapsed: 7:29:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.32497 Generator_loss: 4.35737
[INFO] 2021-01-17 12:32:11 > Step: 13500 Progress: 6.8% Elapsed: 7:32:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.53636 Generator_loss: 4.2027
[INFO] 2021-01-17 12:35:08 > Step: 13600 Progress: 6.8% Elapsed: 7:35:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.52888 Generator_loss: 5.21894
[INFO] 2021-01-17 12:38:07 > Step: 13700 Progress: 6.9% Elapsed: 7:38:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.48407 Generator_loss: 4.79661
[INFO] 2021-01-17 12:41:05 > Step: 13800 Progress: 6.9% Elapsed: 7:41:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.41078 Generator_loss: 4.61348
[INFO] 2021-01-17 12:44:01 > Step: 13900 Progress: 7.0% Elapsed: 7:44:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.71 Generator_loss: 4.8371
[INFO] 2021-01-17 12:46:58 > Step: 14000 Progress: 7.0% Elapsed: 7:47:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.55406 Generator_loss: 5.17717
[INFO] 2021-01-17 12:46:58 > Start Evaluation (14000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 12:46:58 > Calculating FID Score....
[INFO] 2021-01-17 12:47:13 > Calculating Inception Score....
[INFO] 2021-01-17 12:47:21 > Calculate F_beta Score....
[INFO] 2021-01-17 12:48:09 > Calculate Accuracies....
[INFO] 2021-01-17 12:48:15 > Calculate Accuracies....
[INFO] 2021-01-17 12:48:27 > F_8 score (Step: 14000, Using valid images): 0.7228887557788617
[INFO] 2021-01-17 12:48:27 > F_1/8 score (Step: 14000, Using valid images): 0.928775753760778
[INFO] 2021-01-17 12:48:27 > FID score (Step: 14000, Using valid moments): 43.00987971593793
[INFO] 2021-01-17 12:48:27 > Inception score (Step: 14000, 10000 generated images): 9.799566268920898
[INFO] 2021-01-17 12:48:27 > Best FID score (Step: 14000, Using valid moments): 43.00987971593793
[INFO] 2021-01-17 12:48:31 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 12:51:28 > Step: 14100 Progress: 7.0% Elapsed: 7:51:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.44653 Generator_loss: 5.43035
[INFO] 2021-01-17 12:54:26 > Step: 14200 Progress: 7.1% Elapsed: 7:54:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.51328 Generator_loss: 5.27855
[INFO] 2021-01-17 12:57:23 > Step: 14300 Progress: 7.1% Elapsed: 7:57:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.5129 Generator_loss: 4.74333
[INFO] 2021-01-17 13:00:20 > Step: 14400 Progress: 7.2% Elapsed: 8:00:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.71257 Generator_loss: 4.9406
[INFO] 2021-01-17 13:03:17 > Step: 14500 Progress: 7.2% Elapsed: 8:03:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.61076 Generator_loss: 4.31066
[INFO] 2021-01-17 13:06:16 > Step: 14600 Progress: 7.3% Elapsed: 8:06:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.5159 Generator_loss: 5.29474
[INFO] 2021-01-17 13:09:13 > Step: 14700 Progress: 7.3% Elapsed: 8:09:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.4617 Generator_loss: 4.79582
[INFO] 2021-01-17 13:12:12 > Step: 14800 Progress: 7.4% Elapsed: 8:12:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.37011 Generator_loss: 5.25206
[INFO] 2021-01-17 13:15:09 > Step: 14900 Progress: 7.4% Elapsed: 8:15:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.76651 Generator_loss: 4.70366
[INFO] 2021-01-17 13:18:07 > Step: 15000 Progress: 7.5% Elapsed: 8:18:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.32895 Generator_loss: 3.99383
[INFO] 2021-01-17 13:21:05 > Step: 15100 Progress: 7.5% Elapsed: 8:21:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.40348 Generator_loss: 5.25785
[INFO] 2021-01-17 13:24:03 > Step: 15200 Progress: 7.6% Elapsed: 8:24:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.50178 Generator_loss: 4.52038
[INFO] 2021-01-17 13:27:00 > Step: 15300 Progress: 7.6% Elapsed: 8:27:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.39634 Generator_loss: 5.39145
[INFO] 2021-01-17 13:29:57 > Step: 15400 Progress: 7.7% Elapsed: 8:30:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.39882 Generator_loss: 4.54484
[INFO] 2021-01-17 13:32:55 > Step: 15500 Progress: 7.8% Elapsed: 8:33:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.42832 Generator_loss: 4.35892
[INFO] 2021-01-17 13:35:53 > Step: 15600 Progress: 7.8% Elapsed: 8:36:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.41514 Generator_loss: 5.72407
[INFO] 2021-01-17 13:38:51 > Step: 15700 Progress: 7.8% Elapsed: 8:39:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.35984 Generator_loss: 4.47725
[INFO] 2021-01-17 13:41:48 > Step: 15800 Progress: 7.9% Elapsed: 8:41:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.52345 Generator_loss: 4.59969
[INFO] 2021-01-17 13:44:44 > Step: 15900 Progress: 8.0% Elapsed: 8:44:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.61499 Generator_loss: 5.3029
[INFO] 2021-01-17 13:47:42 > Step: 16000 Progress: 8.0% Elapsed: 8:47:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.40105 Generator_loss: 4.70686
[INFO] 2021-01-17 13:47:42 > Start Evaluation (16000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 13:47:42 > Calculating FID Score....
[INFO] 2021-01-17 13:47:57 > Calculating Inception Score....
[INFO] 2021-01-17 13:48:05 > Calculate F_beta Score....
[INFO] 2021-01-17 13:48:56 > Calculate Accuracies....
[INFO] 2021-01-17 13:49:02 > Calculate Accuracies....
[INFO] 2021-01-17 13:49:14 > F_8 score (Step: 16000, Using valid images): 0.7325232759169099
[INFO] 2021-01-17 13:49:14 > F_1/8 score (Step: 16000, Using valid images): 0.9359623708561037
[INFO] 2021-01-17 13:49:14 > FID score (Step: 16000, Using valid moments): 41.09109583009399
[INFO] 2021-01-17 13:49:15 > Inception score (Step: 16000, 10000 generated images): 10.149041175842285
[INFO] 2021-01-17 13:49:15 > Best FID score (Step: 16000, Using valid moments): 41.09109583009399
[INFO] 2021-01-17 13:49:18 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 13:52:16 > Step: 16100 Progress: 8.1% Elapsed: 8:52:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.3872 Generator_loss: 4.28765
[INFO] 2021-01-17 13:55:16 > Step: 16200 Progress: 8.1% Elapsed: 8:55:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.56206 Generator_loss: 4.61469
[INFO] 2021-01-17 13:58:16 > Step: 16300 Progress: 8.2% Elapsed: 8:58:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.29217 Generator_loss: 5.44271
[INFO] 2021-01-17 14:01:14 > Step: 16400 Progress: 8.2% Elapsed: 9:01:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.36631 Generator_loss: 4.82067
[INFO] 2021-01-17 14:04:12 > Step: 16500 Progress: 8.2% Elapsed: 9:04:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.33725 Generator_loss: 4.3369
[INFO] 2021-01-17 14:07:10 > Step: 16600 Progress: 8.3% Elapsed: 9:07:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.27789 Generator_loss: 4.85928
[INFO] 2021-01-17 14:10:08 > Step: 16700 Progress: 8.3% Elapsed: 9:10:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.53409 Generator_loss: 4.697
[INFO] 2021-01-17 14:13:06 > Step: 16800 Progress: 8.4% Elapsed: 9:13:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.35021 Generator_loss: 4.84271
[INFO] 2021-01-17 14:16:04 > Step: 16900 Progress: 8.5% Elapsed: 9:16:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.37826 Generator_loss: 4.39197
[INFO] 2021-01-17 14:19:01 > Step: 17000 Progress: 8.5% Elapsed: 9:19:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.47924 Generator_loss: 4.68894
[INFO] 2021-01-17 14:21:59 > Step: 17100 Progress: 8.6% Elapsed: 9:22:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.31518 Generator_loss: 3.87162
[INFO] 2021-01-17 14:24:56 > Step: 17200 Progress: 8.6% Elapsed: 9:25:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.29446 Generator_loss: 5.5318
[INFO] 2021-01-17 14:27:54 > Step: 17300 Progress: 8.6% Elapsed: 9:28:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.48421 Generator_loss: 4.44241
[INFO] 2021-01-17 14:30:52 > Step: 17400 Progress: 8.7% Elapsed: 9:31:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.52092 Generator_loss: 5.29972
[INFO] 2021-01-17 14:33:50 > Step: 17500 Progress: 8.8% Elapsed: 9:34:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.49209 Generator_loss: 3.77309
[INFO] 2021-01-17 14:36:49 > Step: 17600 Progress: 8.8% Elapsed: 9:37:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.36419 Generator_loss: 3.94225
[INFO] 2021-01-17 14:39:47 > Step: 17700 Progress: 8.8% Elapsed: 9:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.45363 Generator_loss: 4.39726
[INFO] 2021-01-17 14:42:45 > Step: 17800 Progress: 8.9% Elapsed: 9:42:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.38637 Generator_loss: 3.8716
[INFO] 2021-01-17 14:45:41 > Step: 17900 Progress: 8.9% Elapsed: 9:45:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.33014 Generator_loss: 4.72215
[INFO] 2021-01-17 14:48:38 > Step: 18000 Progress: 9.0% Elapsed: 9:48:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.18486 Generator_loss: 5.08021
[INFO] 2021-01-17 14:48:38 > Start Evaluation (18000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 14:48:38 > Calculating FID Score....
[INFO] 2021-01-17 14:48:53 > Calculating Inception Score....
[INFO] 2021-01-17 14:49:01 > Calculate F_beta Score....
[INFO] 2021-01-17 14:49:49 > Calculate Accuracies....
[INFO] 2021-01-17 14:49:55 > Calculate Accuracies....
[INFO] 2021-01-17 14:50:07 > F_8 score (Step: 18000, Using valid images): 0.7197934200845817
[INFO] 2021-01-17 14:50:07 > F_1/8 score (Step: 18000, Using valid images): 0.9505061824150556
[INFO] 2021-01-17 14:50:07 > FID score (Step: 18000, Using valid moments): 39.29313338477385
[INFO] 2021-01-17 14:50:07 > Inception score (Step: 18000, 10000 generated images): 10.18444538116455
[INFO] 2021-01-17 14:50:07 > Best FID score (Step: 18000, Using valid moments): 39.29313338477385
[INFO] 2021-01-17 14:50:12 > Save model to checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 14:53:10 > Step: 18100 Progress: 9.0% Elapsed: 9:53:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.37624 Generator_loss: 5.53903
[INFO] 2021-01-17 14:56:07 > Step: 18200 Progress: 9.1% Elapsed: 9:56:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.34429 Generator_loss: 5.22054
[INFO] 2021-01-17 14:59:05 > Step: 18300 Progress: 9.2% Elapsed: 9:59:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.15791 Generator_loss: 4.54825
[INFO] 2021-01-17 15:02:03 > Step: 18400 Progress: 9.2% Elapsed: 10:02:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.37484 Generator_loss: 5.01123
[INFO] 2021-01-17 15:05:02 > Step: 18500 Progress: 9.2% Elapsed: 10:05:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.14436 Generator_loss: 4.60885
[INFO] 2021-01-17 15:08:00 > Step: 18600 Progress: 9.3% Elapsed: 10:08:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.58382 Generator_loss: 4.82487
[INFO] 2021-01-17 15:10:58 > Step: 18700 Progress: 9.3% Elapsed: 10:11:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.36457 Generator_loss: 3.8668
[INFO] 2021-01-17 15:13:56 > Step: 18800 Progress: 9.4% Elapsed: 10:14:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.49574 Generator_loss: 4.39923
[INFO] 2021-01-17 15:16:55 > Step: 18900 Progress: 9.4% Elapsed: 10:17:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.23697 Generator_loss: 4.03576
[INFO] 2021-01-17 15:19:54 > Step: 19000 Progress: 9.5% Elapsed: 10:20:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.39523 Generator_loss: 4.009
[INFO] 2021-01-17 15:22:52 > Step: 19100 Progress: 9.6% Elapsed: 10:23:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.41246 Generator_loss: 5.01881
[INFO] 2021-01-17 15:25:49 > Step: 19200 Progress: 9.6% Elapsed: 10:26:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.45235 Generator_loss: 4.17302
[INFO] 2021-01-17 15:28:47 > Step: 19300 Progress: 9.7% Elapsed: 10:28:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.35787 Generator_loss: 5.58654
[INFO] 2021-01-17 15:31:45 > Step: 19400 Progress: 9.7% Elapsed: 10:31:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.21235 Generator_loss: 5.39878
[INFO] 2021-01-17 15:34:46 > Step: 19500 Progress: 9.8% Elapsed: 10:34:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.38471 Generator_loss: 4.96719
[INFO] 2021-01-17 15:37:45 > Step: 19600 Progress: 9.8% Elapsed: 10:37:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.4858 Generator_loss: 5.09669
[INFO] 2021-01-17 15:40:44 > Step: 19700 Progress: 9.8% Elapsed: 10:40:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.38806 Generator_loss: 5.45386
[INFO] 2021-01-17 15:43:44 > Step: 19800 Progress: 9.9% Elapsed: 10:43:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.3614 Generator_loss: 4.51042
[INFO] 2021-01-17 15:46:42 > Step: 19900 Progress: 10.0% Elapsed: 10:46:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.39514 Generator_loss: 4.99835
[INFO] 2021-01-17 15:49:40 > Step: 20000 Progress: 10.0% Elapsed: 10:49:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.36751 Generator_loss: 4.7706
[INFO] 2021-01-17 15:49:40 > Start Evaluation (20000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-17 15:49:40 > Calculating FID Score....
[INFO] 2021-01-17 15:53:54 > Calculating Inception Score....
[INFO] 2021-01-17 15:54:02 > Calculate F_beta Score....
[INFO] 2021-01-18 00:48:26 > Generator checkpoint is ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40/model=G-best-weights-step=18000.pth
[INFO] 2021-01-18 00:48:26 > Discriminator checkpoint is ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40/model=D-best-weights-step=18000.pth
[INFO] 2021-01-18 00:48:29 > Start training....
[INFO] 2021-01-18 00:51:33 > Step: 18100 Progress: 9.0% Elapsed: 0:03:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.59835 Generator_loss: 5.37707
[INFO] 2021-01-18 00:54:20 > Step: 18200 Progress: 9.1% Elapsed: 0:05:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.36115 Generator_loss: 5.45088
[INFO] 2021-01-18 00:57:08 > Step: 18300 Progress: 9.2% Elapsed: 0:08:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.57474 Generator_loss: 4.8239
[INFO] 2021-01-18 00:59:55 > Step: 18400 Progress: 9.2% Elapsed: 0:11:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.25323 Generator_loss: 4.69527
[INFO] 2021-01-18 01:02:42 > Step: 18500 Progress: 9.2% Elapsed: 0:14:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.36466 Generator_loss: 4.22877
[INFO] 2021-01-18 01:05:30 > Step: 18600 Progress: 9.3% Elapsed: 0:17:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.23169 Generator_loss: 5.28781
[INFO] 2021-01-18 01:08:20 > Step: 18700 Progress: 9.3% Elapsed: 0:19:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.32463 Generator_loss: 5.51428
[INFO] 2021-01-18 01:11:17 > Step: 18800 Progress: 9.4% Elapsed: 0:22:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.37949 Generator_loss: 4.19058
[INFO] 2021-01-18 01:14:13 > Step: 18900 Progress: 9.4% Elapsed: 0:25:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.34572 Generator_loss: 5.58443
[INFO] 2021-01-18 01:17:04 > Step: 19000 Progress: 9.5% Elapsed: 0:28:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.24237 Generator_loss: 4.20498
[INFO] 2021-01-18 01:19:55 > Step: 19100 Progress: 9.6% Elapsed: 0:31:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.22452 Generator_loss: 4.84868
[INFO] 2021-01-18 01:22:46 > Step: 19200 Progress: 9.6% Elapsed: 0:34:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.36963 Generator_loss: 5.5528
[INFO] 2021-01-18 01:25:36 > Step: 19300 Progress: 9.7% Elapsed: 0:37:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.20941 Generator_loss: 5.09934
[INFO] 2021-01-18 01:28:29 > Step: 19400 Progress: 9.7% Elapsed: 0:40:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.20903 Generator_loss: 4.66489
[INFO] 2021-01-18 01:31:24 > Step: 19500 Progress: 9.8% Elapsed: 0:42:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.32777 Generator_loss: 3.98512
[INFO] 2021-01-18 01:34:16 > Step: 19600 Progress: 9.8% Elapsed: 0:45:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.30675 Generator_loss: 5.38691
[INFO] 2021-01-18 01:37:05 > Step: 19700 Progress: 9.8% Elapsed: 0:48:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.50868 Generator_loss: 5.05965
[INFO] 2021-01-18 01:39:56 > Step: 19800 Progress: 9.9% Elapsed: 0:51:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.38515 Generator_loss: 5.4297
[INFO] 2021-01-18 01:42:48 > Step: 19900 Progress: 10.0% Elapsed: 0:54:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.38073 Generator_loss: 3.86594
[INFO] 2021-01-18 01:45:44 > Step: 20000 Progress: 10.0% Elapsed: 0:57:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.37918 Generator_loss: 4.21011
[INFO] 2021-01-18 01:45:44 > Start Evaluation (20000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 01:45:44 > Calculating FID Score....
[INFO] 2021-01-18 01:47:18 > Calculating Inception Score....
[INFO] 2021-01-18 01:47:26 > Calculate F_beta Score....
[INFO] 2021-01-18 01:56:42 > Calculate Accuracies....
[INFO] 2021-01-18 01:56:47 > Calculate Accuracies....
[INFO] 2021-01-18 01:57:18 > F_8 score (Step: 20000, Using valid images): 0.7584738423394483
[INFO] 2021-01-18 01:57:18 > F_1/8 score (Step: 20000, Using valid images): 0.9497643319719966
[INFO] 2021-01-18 01:57:18 > FID score (Step: 20000, Using valid moments): 35.45261577301352
[INFO] 2021-01-18 01:57:18 > Inception score (Step: 20000, 10000 generated images): 11.030099868774414
[INFO] 2021-01-18 01:57:18 > Best FID score (Step: 20000, Using valid moments): 35.45261577301352
[INFO] 2021-01-18 01:57:22 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 02:00:11 > Step: 20100 Progress: 10.1% Elapsed: 1:11:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.24444 Generator_loss: 5.35265
[INFO] 2021-01-18 02:03:00 > Step: 20200 Progress: 10.1% Elapsed: 1:14:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.20398 Generator_loss: 5.01153
[INFO] 2021-01-18 02:05:48 > Step: 20300 Progress: 10.2% Elapsed: 1:17:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.389 Generator_loss: 4.10506
[INFO] 2021-01-18 02:08:38 > Step: 20400 Progress: 10.2% Elapsed: 1:20:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.50019 Generator_loss: 5.43731
[INFO] 2021-01-18 02:11:26 > Step: 20500 Progress: 10.2% Elapsed: 1:22:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.25958 Generator_loss: 4.03304
[INFO] 2021-01-18 02:14:13 > Step: 20600 Progress: 10.3% Elapsed: 1:25:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.16944 Generator_loss: 4.62393
[INFO] 2021-01-18 02:17:02 > Step: 20700 Progress: 10.3% Elapsed: 1:28:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.32403 Generator_loss: 4.6767
[INFO] 2021-01-18 02:19:50 > Step: 20800 Progress: 10.4% Elapsed: 1:31:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.30561 Generator_loss: 5.27577
[INFO] 2021-01-18 02:22:38 > Step: 20900 Progress: 10.4% Elapsed: 1:34:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.21857 Generator_loss: 4.91906
[INFO] 2021-01-18 02:25:27 > Step: 21000 Progress: 10.5% Elapsed: 1:36:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.41553 Generator_loss: 5.52861
[INFO] 2021-01-18 02:28:15 > Step: 21100 Progress: 10.5% Elapsed: 1:39:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.53946 Generator_loss: 5.20764
[INFO] 2021-01-18 02:31:04 > Step: 21200 Progress: 10.6% Elapsed: 1:42:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.20785 Generator_loss: 4.91372
[INFO] 2021-01-18 02:33:54 > Step: 21300 Progress: 10.7% Elapsed: 1:45:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.27878 Generator_loss: 4.68907
[INFO] 2021-01-18 02:36:42 > Step: 21400 Progress: 10.7% Elapsed: 1:48:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.51818 Generator_loss: 4.29725
[INFO] 2021-01-18 02:39:30 > Step: 21500 Progress: 10.8% Elapsed: 1:51:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.25691 Generator_loss: 5.42816
[INFO] 2021-01-18 02:42:19 > Step: 21600 Progress: 10.8% Elapsed: 1:53:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.15799 Generator_loss: 4.47954
[INFO] 2021-01-18 02:45:07 > Step: 21700 Progress: 10.8% Elapsed: 1:56:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.47363 Generator_loss: 4.94032
[INFO] 2021-01-18 02:47:56 > Step: 21800 Progress: 10.9% Elapsed: 1:59:26 temperature: 1.0 ada_p: No Discriminator_loss: 6.26421 Generator_loss: 4.86623
[INFO] 2021-01-18 02:50:43 > Step: 21900 Progress: 10.9% Elapsed: 2:02:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.1859 Generator_loss: 5.07565
[INFO] 2021-01-18 02:53:31 > Step: 22000 Progress: 11.0% Elapsed: 2:05:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.29273 Generator_loss: 5.1738
[INFO] 2021-01-18 02:53:31 > Start Evaluation (22000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 02:53:31 > Calculating FID Score....
[INFO] 2021-01-18 02:53:46 > Calculating Inception Score....
[INFO] 2021-01-18 02:53:53 > Calculate F_beta Score....
[INFO] 2021-01-18 02:54:42 > Calculate Accuracies....
[INFO] 2021-01-18 02:54:47 > Calculate Accuracies....
[INFO] 2021-01-18 02:55:00 > F_8 score (Step: 22000, Using valid images): 0.7894201625054454
[INFO] 2021-01-18 02:55:00 > F_1/8 score (Step: 22000, Using valid images): 0.9626733290922024
[INFO] 2021-01-18 02:55:00 > FID score (Step: 22000, Using valid moments): 32.551733192945164
[INFO] 2021-01-18 02:55:00 > Inception score (Step: 22000, 10000 generated images): 11.38762378692627
[INFO] 2021-01-18 02:55:00 > Best FID score (Step: 22000, Using valid moments): 32.551733192945164
[INFO] 2021-01-18 02:55:04 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 02:57:51 > Step: 22100 Progress: 11.1% Elapsed: 2:09:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.25749 Generator_loss: 5.41806
[INFO] 2021-01-18 03:00:40 > Step: 22200 Progress: 11.1% Elapsed: 2:12:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.48819 Generator_loss: 4.77907
[INFO] 2021-01-18 03:03:28 > Step: 22300 Progress: 11.2% Elapsed: 2:14:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.3362 Generator_loss: 5.4584
[INFO] 2021-01-18 03:06:16 > Step: 22400 Progress: 11.2% Elapsed: 2:17:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.44725 Generator_loss: 5.64563
[INFO] 2021-01-18 03:09:04 > Step: 22500 Progress: 11.2% Elapsed: 2:20:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.45238 Generator_loss: 4.72022
[INFO] 2021-01-18 03:11:51 > Step: 22600 Progress: 11.3% Elapsed: 2:23:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.46054 Generator_loss: 5.46616
[INFO] 2021-01-18 03:14:39 > Step: 22700 Progress: 11.3% Elapsed: 2:26:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.43531 Generator_loss: 4.07292
[INFO] 2021-01-18 03:17:27 > Step: 22800 Progress: 11.4% Elapsed: 2:28:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.23166 Generator_loss: 5.4795
[INFO] 2021-01-18 03:20:15 > Step: 22900 Progress: 11.5% Elapsed: 2:31:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.21831 Generator_loss: 5.35365
[INFO] 2021-01-18 03:23:04 > Step: 23000 Progress: 11.5% Elapsed: 2:34:35 temperature: 1.0 ada_p: No Discriminator_loss: 6.20806 Generator_loss: 4.97886
[INFO] 2021-01-18 03:25:52 > Step: 23100 Progress: 11.6% Elapsed: 2:37:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.53042 Generator_loss: 5.5948
[INFO] 2021-01-18 03:28:40 > Step: 23200 Progress: 11.6% Elapsed: 2:40:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.21952 Generator_loss: 5.5221
[INFO] 2021-01-18 03:31:28 > Step: 23300 Progress: 11.7% Elapsed: 2:42:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.47516 Generator_loss: 5.31171
[INFO] 2021-01-18 03:34:17 > Step: 23400 Progress: 11.7% Elapsed: 2:45:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.23656 Generator_loss: 5.5309
[INFO] 2021-01-18 03:37:07 > Step: 23500 Progress: 11.8% Elapsed: 2:48:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.32693 Generator_loss: 4.99042
[INFO] 2021-01-18 03:39:57 > Step: 23600 Progress: 11.8% Elapsed: 2:51:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.34059 Generator_loss: 5.00097
[INFO] 2021-01-18 03:42:47 > Step: 23700 Progress: 11.8% Elapsed: 2:54:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.15248 Generator_loss: 4.90355
[INFO] 2021-01-18 03:45:36 > Step: 23800 Progress: 11.9% Elapsed: 2:57:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.1899 Generator_loss: 4.00698
[INFO] 2021-01-18 03:48:24 > Step: 23900 Progress: 11.9% Elapsed: 2:59:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.36916 Generator_loss: 4.59733
[INFO] 2021-01-18 03:51:13 > Step: 24000 Progress: 12.0% Elapsed: 3:02:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.20905 Generator_loss: 5.03945
[INFO] 2021-01-18 03:51:13 > Start Evaluation (24000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 03:51:13 > Calculating FID Score....
[INFO] 2021-01-18 03:51:28 > Calculating Inception Score....
[INFO] 2021-01-18 03:51:36 > Calculate F_beta Score....
[INFO] 2021-01-18 03:52:26 > Calculate Accuracies....
[INFO] 2021-01-18 03:52:31 > Calculate Accuracies....
[INFO] 2021-01-18 03:52:44 > F_8 score (Step: 24000, Using valid images): 0.8215766980895852
[INFO] 2021-01-18 03:52:44 > F_1/8 score (Step: 24000, Using valid images): 0.9659586121843129
[INFO] 2021-01-18 03:52:44 > FID score (Step: 24000, Using valid moments): 29.51344785891007
[INFO] 2021-01-18 03:52:44 > Inception score (Step: 24000, 10000 generated images): 12.006547927856445
[INFO] 2021-01-18 03:52:44 > Best FID score (Step: 24000, Using valid moments): 29.51344785891007
[INFO] 2021-01-18 03:52:48 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 03:55:36 > Step: 24100 Progress: 12.0% Elapsed: 3:07:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.1237 Generator_loss: 5.54039
[INFO] 2021-01-18 03:58:24 > Step: 24200 Progress: 12.1% Elapsed: 3:09:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.18883 Generator_loss: 4.82205
[INFO] 2021-01-18 04:01:12 > Step: 24300 Progress: 12.2% Elapsed: 3:12:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.47996 Generator_loss: 4.86754
[INFO] 2021-01-18 04:04:00 > Step: 24400 Progress: 12.2% Elapsed: 3:15:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.32418 Generator_loss: 4.72617
[INFO] 2021-01-18 04:06:51 > Step: 24500 Progress: 12.2% Elapsed: 3:18:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.51477 Generator_loss: 5.37445
[INFO] 2021-01-18 04:09:40 > Step: 24600 Progress: 12.3% Elapsed: 3:21:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.44197 Generator_loss: 5.53882
[INFO] 2021-01-18 04:12:30 > Step: 24700 Progress: 12.3% Elapsed: 3:24:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.21073 Generator_loss: 4.02846
[INFO] 2021-01-18 04:15:19 > Step: 24800 Progress: 12.4% Elapsed: 3:26:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.32531 Generator_loss: 5.11175
[INFO] 2021-01-18 04:18:08 > Step: 24900 Progress: 12.4% Elapsed: 3:29:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.37189 Generator_loss: 4.82426
[INFO] 2021-01-18 04:20:57 > Step: 25000 Progress: 12.5% Elapsed: 3:32:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.27672 Generator_loss: 5.0556
[INFO] 2021-01-18 04:23:46 > Step: 25100 Progress: 12.6% Elapsed: 3:35:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.38045 Generator_loss: 3.92849
[INFO] 2021-01-18 04:26:35 > Step: 25200 Progress: 12.6% Elapsed: 3:38:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.23404 Generator_loss: 4.67709
[INFO] 2021-01-18 04:29:25 > Step: 25300 Progress: 12.7% Elapsed: 3:40:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.38276 Generator_loss: 5.51214
[INFO] 2021-01-18 04:32:15 > Step: 25400 Progress: 12.7% Elapsed: 3:43:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.05959 Generator_loss: 5.05964
[INFO] 2021-01-18 04:35:05 > Step: 25500 Progress: 12.8% Elapsed: 3:46:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.50567 Generator_loss: 4.34838
[INFO] 2021-01-18 04:37:54 > Step: 25600 Progress: 12.8% Elapsed: 3:49:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.18411 Generator_loss: 5.55346
[INFO] 2021-01-18 04:40:43 > Step: 25700 Progress: 12.8% Elapsed: 3:52:14 temperature: 1.0 ada_p: No Discriminator_loss: 6.05827 Generator_loss: 4.37572
[INFO] 2021-01-18 04:43:31 > Step: 25800 Progress: 12.9% Elapsed: 3:55:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.1449 Generator_loss: 5.53474
[INFO] 2021-01-18 04:46:20 > Step: 25900 Progress: 13.0% Elapsed: 3:57:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.1247 Generator_loss: 5.25805
[INFO] 2021-01-18 04:49:08 > Step: 26000 Progress: 13.0% Elapsed: 4:00:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.07978 Generator_loss: 4.88199
[INFO] 2021-01-18 04:49:08 > Start Evaluation (26000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 04:49:08 > Calculating FID Score....
[INFO] 2021-01-18 04:49:24 > Calculating Inception Score....
[INFO] 2021-01-18 04:49:32 > Calculate F_beta Score....
[INFO] 2021-01-18 04:50:22 > Calculate Accuracies....
[INFO] 2021-01-18 04:50:27 > Calculate Accuracies....
[INFO] 2021-01-18 04:50:40 > F_8 score (Step: 26000, Using valid images): 0.8445247842097565
[INFO] 2021-01-18 04:50:40 > F_1/8 score (Step: 26000, Using valid images): 0.9650365947266993
[INFO] 2021-01-18 04:50:40 > FID score (Step: 26000, Using valid moments): 27.363147902457797
[INFO] 2021-01-18 04:50:40 > Inception score (Step: 26000, 10000 generated images): 12.390185356140137
[INFO] 2021-01-18 04:50:40 > Best FID score (Step: 26000, Using valid moments): 27.363147902457797
[INFO] 2021-01-18 04:50:43 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 04:53:32 > Step: 26100 Progress: 13.1% Elapsed: 4:05:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.10735 Generator_loss: 4.79239
[INFO] 2021-01-18 04:56:21 > Step: 26200 Progress: 13.1% Elapsed: 4:07:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.2891 Generator_loss: 4.41818
[INFO] 2021-01-18 04:59:10 > Step: 26300 Progress: 13.2% Elapsed: 4:10:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.35708 Generator_loss: 5.53379
[INFO] 2021-01-18 05:01:59 > Step: 26400 Progress: 13.2% Elapsed: 4:13:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.23181 Generator_loss: 5.42758
[INFO] 2021-01-18 05:04:48 > Step: 26500 Progress: 13.2% Elapsed: 4:16:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.3576 Generator_loss: 5.30715
[INFO] 2021-01-18 05:07:37 > Step: 26600 Progress: 13.3% Elapsed: 4:19:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.02236 Generator_loss: 4.91979
[INFO] 2021-01-18 05:10:27 > Step: 26700 Progress: 13.4% Elapsed: 4:21:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.28019 Generator_loss: 5.39746
[INFO] 2021-01-18 05:13:16 > Step: 26800 Progress: 13.4% Elapsed: 4:24:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.14929 Generator_loss: 4.99432
[INFO] 2021-01-18 05:16:05 > Step: 26900 Progress: 13.5% Elapsed: 4:27:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.15299 Generator_loss: 5.09003
[INFO] 2021-01-18 05:18:52 > Step: 27000 Progress: 13.5% Elapsed: 4:30:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.27362 Generator_loss: 5.35027
[INFO] 2021-01-18 05:21:40 > Step: 27100 Progress: 13.6% Elapsed: 4:33:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.21312 Generator_loss: 4.66445
[INFO] 2021-01-18 05:24:28 > Step: 27200 Progress: 13.6% Elapsed: 4:35:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.43609 Generator_loss: 3.70727
[INFO] 2021-01-18 05:27:16 > Step: 27300 Progress: 13.7% Elapsed: 4:38:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.05341 Generator_loss: 5.41501
[INFO] 2021-01-18 05:30:03 > Step: 27400 Progress: 13.7% Elapsed: 4:41:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.1053 Generator_loss: 5.53956
[INFO] 2021-01-18 05:32:51 > Step: 27500 Progress: 13.8% Elapsed: 4:44:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.29795 Generator_loss: 4.13471
[INFO] 2021-01-18 05:35:39 > Step: 27600 Progress: 13.8% Elapsed: 4:47:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.02035 Generator_loss: 4.39081
[INFO] 2021-01-18 05:38:28 > Step: 27700 Progress: 13.9% Elapsed: 4:49:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.25782 Generator_loss: 5.12334
[INFO] 2021-01-18 05:41:18 > Step: 27800 Progress: 13.9% Elapsed: 4:52:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.02503 Generator_loss: 5.01538
[INFO] 2021-01-18 05:44:08 > Step: 27900 Progress: 14.0% Elapsed: 4:55:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.34945 Generator_loss: 4.34194
[INFO] 2021-01-18 05:46:56 > Step: 28000 Progress: 14.0% Elapsed: 4:58:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.32114 Generator_loss: 5.18078
[INFO] 2021-01-18 05:46:56 > Start Evaluation (28000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 05:46:56 > Calculating FID Score....
[INFO] 2021-01-18 05:47:13 > Calculating Inception Score....
[INFO] 2021-01-18 05:47:20 > Calculate F_beta Score....
[INFO] 2021-01-18 05:48:12 > Calculate Accuracies....
[INFO] 2021-01-18 05:48:17 > Calculate Accuracies....
[INFO] 2021-01-18 05:48:30 > F_8 score (Step: 28000, Using valid images): 0.8596563397415884
[INFO] 2021-01-18 05:48:30 > F_1/8 score (Step: 28000, Using valid images): 0.9752583009406535
[INFO] 2021-01-18 05:48:30 > FID score (Step: 28000, Using valid moments): 26.24305882917355
[INFO] 2021-01-18 05:48:30 > Inception score (Step: 28000, 10000 generated images): 12.602425575256348
[INFO] 2021-01-18 05:48:30 > Best FID score (Step: 28000, Using valid moments): 26.24305882917355
[INFO] 2021-01-18 05:48:34 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 05:51:22 > Step: 28100 Progress: 14.1% Elapsed: 5:02:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.01792 Generator_loss: 5.36454
[INFO] 2021-01-18 05:54:11 > Step: 28200 Progress: 14.1% Elapsed: 5:05:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.59693 Generator_loss: 5.51448
[INFO] 2021-01-18 05:57:01 > Step: 28300 Progress: 14.1% Elapsed: 5:08:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.23821 Generator_loss: 5.01553
[INFO] 2021-01-18 05:59:50 > Step: 28400 Progress: 14.2% Elapsed: 5:11:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.26093 Generator_loss: 5.20839
[INFO] 2021-01-18 06:02:37 > Step: 28500 Progress: 14.2% Elapsed: 5:14:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.30286 Generator_loss: 3.92389
[INFO] 2021-01-18 06:05:25 > Step: 28600 Progress: 14.3% Elapsed: 5:16:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.36001 Generator_loss: 4.78205
[INFO] 2021-01-18 06:08:13 > Step: 28700 Progress: 14.3% Elapsed: 5:19:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.16885 Generator_loss: 3.90579
[INFO] 2021-01-18 06:11:00 > Step: 28800 Progress: 14.4% Elapsed: 5:22:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.23262 Generator_loss: 4.12913
[INFO] 2021-01-18 06:13:48 > Step: 28900 Progress: 14.4% Elapsed: 5:25:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.19291 Generator_loss: 5.57576
[INFO] 2021-01-18 06:16:35 > Step: 29000 Progress: 14.5% Elapsed: 5:28:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.09733 Generator_loss: 5.68543
[INFO] 2021-01-18 06:19:24 > Step: 29100 Progress: 14.5% Elapsed: 5:30:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.22081 Generator_loss: 4.63073
[INFO] 2021-01-18 06:22:14 > Step: 29200 Progress: 14.6% Elapsed: 5:33:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.00342 Generator_loss: 5.27766
[INFO] 2021-01-18 06:25:03 > Step: 29300 Progress: 14.6% Elapsed: 5:36:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.18112 Generator_loss: 5.1444
[INFO] 2021-01-18 06:27:51 > Step: 29400 Progress: 14.7% Elapsed: 5:39:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.29307 Generator_loss: 4.4801
[INFO] 2021-01-18 06:30:40 > Step: 29500 Progress: 14.8% Elapsed: 5:42:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.29488 Generator_loss: 5.22659
[INFO] 2021-01-18 06:33:30 > Step: 29600 Progress: 14.8% Elapsed: 5:45:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.01134 Generator_loss: 5.21192
[INFO] 2021-01-18 06:36:19 > Step: 29700 Progress: 14.8% Elapsed: 5:47:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.43223 Generator_loss: 4.82566
[INFO] 2021-01-18 06:39:08 > Step: 29800 Progress: 14.9% Elapsed: 5:50:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.10845 Generator_loss: 4.46392
[INFO] 2021-01-18 06:41:59 > Step: 29900 Progress: 14.9% Elapsed: 5:53:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.05138 Generator_loss: 4.70663
[INFO] 2021-01-18 06:44:49 > Step: 30000 Progress: 15.0% Elapsed: 5:56:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.0822 Generator_loss: 4.83784
[INFO] 2021-01-18 06:44:49 > Start Evaluation (30000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 06:44:49 > Calculating FID Score....
[INFO] 2021-01-18 06:45:06 > Calculating Inception Score....
[INFO] 2021-01-18 06:45:13 > Calculate F_beta Score....
[INFO] 2021-01-18 06:46:07 > Calculate Accuracies....
[INFO] 2021-01-18 06:46:12 > Calculate Accuracies....
[INFO] 2021-01-18 06:46:25 > F_8 score (Step: 30000, Using valid images): 0.8701126761711293
[INFO] 2021-01-18 06:46:25 > F_1/8 score (Step: 30000, Using valid images): 0.975230896873864
[INFO] 2021-01-18 06:46:25 > FID score (Step: 30000, Using valid moments): 24.92172286510163
[INFO] 2021-01-18 06:46:25 > Inception score (Step: 30000, 10000 generated images): 13.007864952087402
[INFO] 2021-01-18 06:46:25 > Best FID score (Step: 30000, Using valid moments): 24.92172286510163
[INFO] 2021-01-18 06:46:29 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 06:49:17 > Step: 30100 Progress: 15.0% Elapsed: 6:00:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.03425 Generator_loss: 5.31807
[INFO] 2021-01-18 06:52:06 > Step: 30200 Progress: 15.1% Elapsed: 6:03:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.07964 Generator_loss: 4.69325
[INFO] 2021-01-18 06:54:59 > Step: 30300 Progress: 15.2% Elapsed: 6:06:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.44091 Generator_loss: 5.55985
[INFO] 2021-01-18 06:57:50 > Step: 30400 Progress: 15.2% Elapsed: 6:09:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.16458 Generator_loss: 4.16132
[INFO] 2021-01-18 07:00:42 > Step: 30500 Progress: 15.2% Elapsed: 6:12:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.0692 Generator_loss: 5.07785
[INFO] 2021-01-18 07:03:33 > Step: 30600 Progress: 15.3% Elapsed: 6:15:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.09457 Generator_loss: 4.86506
[INFO] 2021-01-18 07:06:22 > Step: 30700 Progress: 15.3% Elapsed: 6:17:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.08428 Generator_loss: 5.61248
[INFO] 2021-01-18 07:09:09 > Step: 30800 Progress: 15.4% Elapsed: 6:20:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.15201 Generator_loss: 5.61886
[INFO] 2021-01-18 07:11:56 > Step: 30900 Progress: 15.4% Elapsed: 6:23:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.11418 Generator_loss: 5.5392
[INFO] 2021-01-18 07:14:47 > Step: 31000 Progress: 15.5% Elapsed: 6:26:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.25138 Generator_loss: 4.93018
[INFO] 2021-01-18 07:17:35 > Step: 31100 Progress: 15.6% Elapsed: 6:29:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.01518 Generator_loss: 5.00528
[INFO] 2021-01-18 07:20:23 > Step: 31200 Progress: 15.6% Elapsed: 6:31:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.2613 Generator_loss: 5.45798
[INFO] 2021-01-18 07:23:12 > Step: 31300 Progress: 15.7% Elapsed: 6:34:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.28852 Generator_loss: 4.29828
[INFO] 2021-01-18 07:26:00 > Step: 31400 Progress: 15.7% Elapsed: 6:37:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.03365 Generator_loss: 4.6428
[INFO] 2021-01-18 07:28:49 > Step: 31500 Progress: 15.8% Elapsed: 6:40:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.06937 Generator_loss: 4.68522
[INFO] 2021-01-18 07:31:37 > Step: 31600 Progress: 15.8% Elapsed: 6:43:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.08242 Generator_loss: 5.09275
[INFO] 2021-01-18 07:34:25 > Step: 31700 Progress: 15.8% Elapsed: 6:45:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.15861 Generator_loss: 4.56563
[INFO] 2021-01-18 07:37:13 > Step: 31800 Progress: 15.9% Elapsed: 6:48:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.19396 Generator_loss: 4.66683
[INFO] 2021-01-18 07:40:01 > Step: 31900 Progress: 16.0% Elapsed: 6:51:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.17561 Generator_loss: 5.06587
[INFO] 2021-01-18 07:42:51 > Step: 32000 Progress: 16.0% Elapsed: 6:54:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.18245 Generator_loss: 4.72364
[INFO] 2021-01-18 07:42:51 > Start Evaluation (32000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 07:42:51 > Calculating FID Score....
[INFO] 2021-01-18 07:43:06 > Calculating Inception Score....
[INFO] 2021-01-18 07:43:13 > Calculate F_beta Score....
[INFO] 2021-01-18 07:44:06 > Calculate Accuracies....
[INFO] 2021-01-18 07:44:11 > Calculate Accuracies....
[INFO] 2021-01-18 07:44:24 > F_8 score (Step: 32000, Using valid images): 0.886716715136405
[INFO] 2021-01-18 07:44:24 > F_1/8 score (Step: 32000, Using valid images): 0.9744338126474689
[INFO] 2021-01-18 07:44:24 > FID score (Step: 32000, Using valid moments): 24.112369235056747
[INFO] 2021-01-18 07:44:24 > Inception score (Step: 32000, 10000 generated images): 13.144242286682129
[INFO] 2021-01-18 07:44:24 > Best FID score (Step: 32000, Using valid moments): 24.112369235056747
[INFO] 2021-01-18 07:44:27 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 07:47:17 > Step: 32100 Progress: 16.1% Elapsed: 6:58:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.07166 Generator_loss: 4.83508
[INFO] 2021-01-18 07:50:07 > Step: 32200 Progress: 16.1% Elapsed: 7:01:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.14846 Generator_loss: 4.66117
[INFO] 2021-01-18 07:52:56 > Step: 32300 Progress: 16.2% Elapsed: 7:04:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.28313 Generator_loss: 5.04367
[INFO] 2021-01-18 07:55:46 > Step: 32400 Progress: 16.2% Elapsed: 7:07:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.35451 Generator_loss: 4.47433
[INFO] 2021-01-18 07:58:34 > Step: 32500 Progress: 16.2% Elapsed: 7:10:05 temperature: 1.0 ada_p: No Discriminator_loss: 6.04017 Generator_loss: 4.42828
[INFO] 2021-01-18 08:01:26 > Step: 32600 Progress: 16.3% Elapsed: 7:12:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.20108 Generator_loss: 4.25049
[INFO] 2021-01-18 08:04:15 > Step: 32700 Progress: 16.4% Elapsed: 7:15:46 temperature: 1.0 ada_p: No Discriminator_loss: 6.47991 Generator_loss: 5.30453
[INFO] 2021-01-18 08:07:03 > Step: 32800 Progress: 16.4% Elapsed: 7:18:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.0546 Generator_loss: 4.00341
[INFO] 2021-01-18 08:09:53 > Step: 32900 Progress: 16.4% Elapsed: 7:21:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.09106 Generator_loss: 4.73717
[INFO] 2021-01-18 08:12:41 > Step: 33000 Progress: 16.5% Elapsed: 7:24:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.14006 Generator_loss: 4.18397
[INFO] 2021-01-18 08:15:29 > Step: 33100 Progress: 16.6% Elapsed: 7:27:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.05312 Generator_loss: 5.28397
[INFO] 2021-01-18 08:18:17 > Step: 33200 Progress: 16.6% Elapsed: 7:29:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.2845 Generator_loss: 5.49405
[INFO] 2021-01-18 08:21:05 > Step: 33300 Progress: 16.7% Elapsed: 7:32:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.09483 Generator_loss: 3.97691
[INFO] 2021-01-18 08:23:53 > Step: 33400 Progress: 16.7% Elapsed: 7:35:24 temperature: 1.0 ada_p: No Discriminator_loss: 6.02733 Generator_loss: 4.77214
[INFO] 2021-01-18 08:26:42 > Step: 33500 Progress: 16.8% Elapsed: 7:38:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.92564 Generator_loss: 4.75455
[INFO] 2021-01-18 08:29:29 > Step: 33600 Progress: 16.8% Elapsed: 7:41:00 temperature: 1.0 ada_p: No Discriminator_loss: 6.23707 Generator_loss: 5.43325
[INFO] 2021-01-18 08:32:19 > Step: 33700 Progress: 16.9% Elapsed: 7:43:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.03681 Generator_loss: 4.8704
[INFO] 2021-01-18 08:35:08 > Step: 33800 Progress: 16.9% Elapsed: 7:46:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.41878 Generator_loss: 4.87468
[INFO] 2021-01-18 08:37:58 > Step: 33900 Progress: 17.0% Elapsed: 7:49:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.96719 Generator_loss: 4.8154
[INFO] 2021-01-18 08:40:50 > Step: 34000 Progress: 17.0% Elapsed: 7:52:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.97587 Generator_loss: 4.34799
[INFO] 2021-01-18 08:40:50 > Start Evaluation (34000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 08:40:50 > Calculating FID Score....
[INFO] 2021-01-18 08:41:05 > Calculating Inception Score....
[INFO] 2021-01-18 08:41:12 > Calculate F_beta Score....
[INFO] 2021-01-18 08:42:01 > Calculate Accuracies....
[INFO] 2021-01-18 08:42:07 > Calculate Accuracies....
[INFO] 2021-01-18 08:42:19 > F_8 score (Step: 34000, Using valid images): 0.8850708698388065
[INFO] 2021-01-18 08:42:19 > F_1/8 score (Step: 34000, Using valid images): 0.976645873278861
[INFO] 2021-01-18 08:42:19 > FID score (Step: 34000, Using valid moments): 23.446011069799397
[INFO] 2021-01-18 08:42:19 > Inception score (Step: 34000, 10000 generated images): 13.563848495483398
[INFO] 2021-01-18 08:42:19 > Best FID score (Step: 34000, Using valid moments): 23.446011069799397
[INFO] 2021-01-18 08:42:23 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 08:45:13 > Step: 34100 Progress: 17.1% Elapsed: 7:56:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.00972 Generator_loss: 4.56657
[INFO] 2021-01-18 08:48:05 > Step: 34200 Progress: 17.1% Elapsed: 7:59:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.26348 Generator_loss: 4.4117
[INFO] 2021-01-18 08:50:53 > Step: 34300 Progress: 17.2% Elapsed: 8:02:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.99722 Generator_loss: 4.3724
[INFO] 2021-01-18 08:53:41 > Step: 34400 Progress: 17.2% Elapsed: 8:05:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.00823 Generator_loss: 5.08181
[INFO] 2021-01-18 08:56:30 > Step: 34500 Progress: 17.2% Elapsed: 8:08:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.24459 Generator_loss: 3.66526
[INFO] 2021-01-18 08:59:20 > Step: 34600 Progress: 17.3% Elapsed: 8:10:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.15506 Generator_loss: 5.12945
[INFO] 2021-01-18 09:02:10 > Step: 34700 Progress: 17.3% Elapsed: 8:13:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.00942 Generator_loss: 5.02719
[INFO] 2021-01-18 09:04:59 > Step: 34800 Progress: 17.4% Elapsed: 8:16:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.04327 Generator_loss: 5.23781
[INFO] 2021-01-18 09:07:49 > Step: 34900 Progress: 17.4% Elapsed: 8:19:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.9386 Generator_loss: 5.00447
[INFO] 2021-01-18 09:10:36 > Step: 35000 Progress: 17.5% Elapsed: 8:22:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.96308 Generator_loss: 5.23571
[INFO] 2021-01-18 09:13:25 > Step: 35100 Progress: 17.5% Elapsed: 8:24:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.06433 Generator_loss: 5.5655
[INFO] 2021-01-18 09:16:13 > Step: 35200 Progress: 17.6% Elapsed: 8:27:44 temperature: 1.0 ada_p: No Discriminator_loss: 6.19702 Generator_loss: 4.60749
[INFO] 2021-01-18 09:19:03 > Step: 35300 Progress: 17.6% Elapsed: 8:30:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.30313 Generator_loss: 3.87514
[INFO] 2021-01-18 09:21:52 > Step: 35400 Progress: 17.7% Elapsed: 8:33:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.0795 Generator_loss: 4.06123
[INFO] 2021-01-18 09:24:41 > Step: 35500 Progress: 17.8% Elapsed: 8:36:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.2775 Generator_loss: 4.15085
[INFO] 2021-01-18 09:27:30 > Step: 35600 Progress: 17.8% Elapsed: 8:39:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.07451 Generator_loss: 4.71302
[INFO] 2021-01-18 09:30:18 > Step: 35700 Progress: 17.8% Elapsed: 8:41:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.26872 Generator_loss: 4.97001
[INFO] 2021-01-18 09:33:09 > Step: 35800 Progress: 17.9% Elapsed: 8:44:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.22627 Generator_loss: 5.24726
[INFO] 2021-01-18 09:35:58 > Step: 35900 Progress: 17.9% Elapsed: 8:47:28 temperature: 1.0 ada_p: No Discriminator_loss: 6.04332 Generator_loss: 4.53773
[INFO] 2021-01-18 09:38:47 > Step: 36000 Progress: 18.0% Elapsed: 8:50:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.18824 Generator_loss: 4.16948
[INFO] 2021-01-18 09:38:47 > Start Evaluation (36000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 09:38:47 > Calculating FID Score....
[INFO] 2021-01-18 09:39:03 > Calculating Inception Score....
[INFO] 2021-01-18 09:39:10 > Calculate F_beta Score....
[INFO] 2021-01-18 09:39:59 > Calculate Accuracies....
[INFO] 2021-01-18 09:40:04 > Calculate Accuracies....
[INFO] 2021-01-18 09:40:17 > F_8 score (Step: 36000, Using valid images): 0.9012467234217205
[INFO] 2021-01-18 09:40:17 > F_1/8 score (Step: 36000, Using valid images): 0.9802821104558725
[INFO] 2021-01-18 09:40:17 > FID score (Step: 36000, Using valid moments): 22.790758245561392
[INFO] 2021-01-18 09:40:17 > Inception score (Step: 36000, 10000 generated images): 13.829644203186035
[INFO] 2021-01-18 09:40:17 > Best FID score (Step: 36000, Using valid moments): 22.790758245561392
[INFO] 2021-01-18 09:40:21 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 09:43:10 > Step: 36100 Progress: 18.1% Elapsed: 8:54:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.09355 Generator_loss: 4.20042
[INFO] 2021-01-18 09:45:59 > Step: 36200 Progress: 18.1% Elapsed: 8:57:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.93612 Generator_loss: 4.79909
[INFO] 2021-01-18 09:48:47 > Step: 36300 Progress: 18.1% Elapsed: 9:00:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.99782 Generator_loss: 4.3253
[INFO] 2021-01-18 09:51:35 > Step: 36400 Progress: 18.2% Elapsed: 9:03:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.06904 Generator_loss: 4.31797
[INFO] 2021-01-18 09:54:23 > Step: 36500 Progress: 18.2% Elapsed: 9:05:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.0543 Generator_loss: 5.42617
[INFO] 2021-01-18 09:57:11 > Step: 36600 Progress: 18.3% Elapsed: 9:08:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.93624 Generator_loss: 5.44103
[INFO] 2021-01-18 10:00:02 > Step: 36700 Progress: 18.4% Elapsed: 9:11:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.01348 Generator_loss: 4.28753
[INFO] 2021-01-18 10:02:51 > Step: 36800 Progress: 18.4% Elapsed: 9:14:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.00543 Generator_loss: 4.43012
[INFO] 2021-01-18 10:05:39 > Step: 36900 Progress: 18.4% Elapsed: 9:17:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.92888 Generator_loss: 5.09614
[INFO] 2021-01-18 10:08:28 > Step: 37000 Progress: 18.5% Elapsed: 9:19:59 temperature: 1.0 ada_p: No Discriminator_loss: 6.13608 Generator_loss: 5.05927
[INFO] 2021-01-18 10:11:17 > Step: 37100 Progress: 18.6% Elapsed: 9:22:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.06124 Generator_loss: 4.16667
[INFO] 2021-01-18 10:14:07 > Step: 37200 Progress: 18.6% Elapsed: 9:25:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.18976 Generator_loss: 5.42939
[INFO] 2021-01-18 10:16:58 > Step: 37300 Progress: 18.6% Elapsed: 9:28:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.01729 Generator_loss: 5.35168
[INFO] 2021-01-18 10:19:47 > Step: 37400 Progress: 18.7% Elapsed: 9:31:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.12816 Generator_loss: 5.21567
[INFO] 2021-01-18 10:22:36 > Step: 37500 Progress: 18.8% Elapsed: 9:34:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.08761 Generator_loss: 5.31837
[INFO] 2021-01-18 10:25:23 > Step: 37600 Progress: 18.8% Elapsed: 9:36:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.88647 Generator_loss: 4.27497
[INFO] 2021-01-18 10:28:11 > Step: 37700 Progress: 18.9% Elapsed: 9:39:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.05705 Generator_loss: 4.91855
[INFO] 2021-01-18 10:30:58 > Step: 37800 Progress: 18.9% Elapsed: 9:42:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.14713 Generator_loss: 5.20067
[INFO] 2021-01-18 10:33:45 > Step: 37900 Progress: 18.9% Elapsed: 9:45:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.94836 Generator_loss: 4.44688
[INFO] 2021-01-18 10:36:34 > Step: 38000 Progress: 19.0% Elapsed: 9:48:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.10319 Generator_loss: 5.41329
[INFO] 2021-01-18 10:36:34 > Start Evaluation (38000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 10:36:34 > Calculating FID Score....
[INFO] 2021-01-18 10:36:49 > Calculating Inception Score....
[INFO] 2021-01-18 10:36:56 > Calculate F_beta Score....
[INFO] 2021-01-18 10:37:46 > Calculate Accuracies....
[INFO] 2021-01-18 10:37:51 > Calculate Accuracies....
[INFO] 2021-01-18 10:38:04 > F_8 score (Step: 38000, Using valid images): 0.9026471388266869
[INFO] 2021-01-18 10:38:04 > F_1/8 score (Step: 38000, Using valid images): 0.9796717103732211
[INFO] 2021-01-18 10:38:04 > FID score (Step: 38000, Using valid moments): 22.48117916770059
[INFO] 2021-01-18 10:38:04 > Inception score (Step: 38000, 10000 generated images): 14.017897605895996
[INFO] 2021-01-18 10:38:04 > Best FID score (Step: 38000, Using valid moments): 22.48117916770059
[INFO] 2021-01-18 10:38:08 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 10:40:56 > Step: 38100 Progress: 19.1% Elapsed: 9:52:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.96377 Generator_loss: 4.6942
[INFO] 2021-01-18 10:43:45 > Step: 38200 Progress: 19.1% Elapsed: 9:55:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.94695 Generator_loss: 5.08522
[INFO] 2021-01-18 10:46:33 > Step: 38300 Progress: 19.1% Elapsed: 9:58:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.92033 Generator_loss: 5.61074
[INFO] 2021-01-18 10:49:21 > Step: 38400 Progress: 19.2% Elapsed: 10:00:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.01209 Generator_loss: 5.23744
[INFO] 2021-01-18 10:52:09 > Step: 38500 Progress: 19.2% Elapsed: 10:03:40 temperature: 1.0 ada_p: No Discriminator_loss: 6.0354 Generator_loss: 4.90835
[INFO] 2021-01-18 10:54:58 > Step: 38600 Progress: 19.3% Elapsed: 10:06:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.91175 Generator_loss: 4.81018
[INFO] 2021-01-18 10:57:48 > Step: 38700 Progress: 19.4% Elapsed: 10:09:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.21743 Generator_loss: 4.60856
[INFO] 2021-01-18 11:00:36 > Step: 38800 Progress: 19.4% Elapsed: 10:12:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.0353 Generator_loss: 4.40148
[INFO] 2021-01-18 11:03:25 > Step: 38900 Progress: 19.4% Elapsed: 10:14:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.97496 Generator_loss: 4.51588
[INFO] 2021-01-18 11:06:13 > Step: 39000 Progress: 19.5% Elapsed: 10:17:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.96859 Generator_loss: 5.45829
[INFO] 2021-01-18 11:09:01 > Step: 39100 Progress: 19.6% Elapsed: 10:20:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.05726 Generator_loss: 5.68374
[INFO] 2021-01-18 11:11:49 > Step: 39200 Progress: 19.6% Elapsed: 10:23:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.99594 Generator_loss: 4.7091
[INFO] 2021-01-18 11:14:37 > Step: 39300 Progress: 19.7% Elapsed: 10:26:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.87862 Generator_loss: 4.5643
[INFO] 2021-01-18 11:17:24 > Step: 39400 Progress: 19.7% Elapsed: 10:28:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.10324 Generator_loss: 4.52153
[INFO] 2021-01-18 11:20:11 > Step: 39500 Progress: 19.8% Elapsed: 10:31:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.10624 Generator_loss: 5.49408
[INFO] 2021-01-18 11:23:01 > Step: 39600 Progress: 19.8% Elapsed: 10:34:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.92838 Generator_loss: 5.50616
[INFO] 2021-01-18 11:25:48 > Step: 39700 Progress: 19.9% Elapsed: 10:37:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.04813 Generator_loss: 4.11591
[INFO] 2021-01-18 11:28:39 > Step: 39800 Progress: 19.9% Elapsed: 10:40:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.03048 Generator_loss: 4.31134
[INFO] 2021-01-18 11:31:30 > Step: 39900 Progress: 20.0% Elapsed: 10:43:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.92977 Generator_loss: 5.42117
[INFO] 2021-01-18 11:34:20 > Step: 40000 Progress: 20.0% Elapsed: 10:45:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.95529 Generator_loss: 5.19003
[INFO] 2021-01-18 11:34:20 > Start Evaluation (40000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 11:34:20 > Calculating FID Score....
[INFO] 2021-01-18 11:34:37 > Calculating Inception Score....
[INFO] 2021-01-18 11:34:44 > Calculate F_beta Score....
[INFO] 2021-01-18 11:35:34 > Calculate Accuracies....
[INFO] 2021-01-18 11:35:39 > Calculate Accuracies....
[INFO] 2021-01-18 11:35:52 > F_8 score (Step: 40000, Using valid images): 0.9102401120501831
[INFO] 2021-01-18 11:35:52 > F_1/8 score (Step: 40000, Using valid images): 0.9817558396435481
[INFO] 2021-01-18 11:35:52 > FID score (Step: 40000, Using valid moments): 21.79607982109468
[INFO] 2021-01-18 11:35:52 > Inception score (Step: 40000, 10000 generated images): 14.171399116516113
[INFO] 2021-01-18 11:35:52 > Best FID score (Step: 40000, Using valid moments): 21.79607982109468
[INFO] 2021-01-18 11:35:55 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 11:38:47 > Step: 40100 Progress: 20.1% Elapsed: 10:50:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.92339 Generator_loss: 5.14828
[INFO] 2021-01-18 11:41:37 > Step: 40200 Progress: 20.1% Elapsed: 10:53:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.91463 Generator_loss: 5.53712
[INFO] 2021-01-18 11:44:27 > Step: 40300 Progress: 20.2% Elapsed: 10:55:58 temperature: 1.0 ada_p: No Discriminator_loss: 6.13358 Generator_loss: 5.21218
[INFO] 2021-01-18 11:47:21 > Step: 40400 Progress: 20.2% Elapsed: 10:58:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.99954 Generator_loss: 5.30108
[INFO] 2021-01-18 11:50:10 > Step: 40500 Progress: 20.2% Elapsed: 11:01:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.06306 Generator_loss: 5.42872
[INFO] 2021-01-18 11:53:00 > Step: 40600 Progress: 20.3% Elapsed: 11:04:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.96883 Generator_loss: 5.09189
[INFO] 2021-01-18 11:55:52 > Step: 40700 Progress: 20.3% Elapsed: 11:07:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.09323 Generator_loss: 4.86716
[INFO] 2021-01-18 11:58:42 > Step: 40800 Progress: 20.4% Elapsed: 11:10:13 temperature: 1.0 ada_p: No Discriminator_loss: 6.04685 Generator_loss: 4.04081
[INFO] 2021-01-18 12:01:32 > Step: 40900 Progress: 20.4% Elapsed: 11:13:03 temperature: 1.0 ada_p: No Discriminator_loss: 6.12734 Generator_loss: 3.8149
[INFO] 2021-01-18 12:04:22 > Step: 41000 Progress: 20.5% Elapsed: 11:15:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.16687 Generator_loss: 5.31249
[INFO] 2021-01-18 12:07:11 > Step: 41100 Progress: 20.5% Elapsed: 11:18:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.10807 Generator_loss: 5.419
[INFO] 2021-01-18 12:10:01 > Step: 41200 Progress: 20.6% Elapsed: 11:21:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.02951 Generator_loss: 4.36081
[INFO] 2021-01-18 12:12:51 > Step: 41300 Progress: 20.6% Elapsed: 11:24:22 temperature: 1.0 ada_p: No Discriminator_loss: 6.15711 Generator_loss: 4.32386
[INFO] 2021-01-18 12:15:41 > Step: 41400 Progress: 20.7% Elapsed: 11:27:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.34463 Generator_loss: 5.34463
[INFO] 2021-01-18 12:18:31 > Step: 41500 Progress: 20.8% Elapsed: 11:30:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.94179 Generator_loss: 4.22069
[INFO] 2021-01-18 12:21:21 > Step: 41600 Progress: 20.8% Elapsed: 11:32:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.0787 Generator_loss: 5.24156
[INFO] 2021-01-18 12:24:10 > Step: 41700 Progress: 20.8% Elapsed: 11:35:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.04111 Generator_loss: 5.65201
[INFO] 2021-01-18 12:27:00 > Step: 41800 Progress: 20.9% Elapsed: 11:38:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.00136 Generator_loss: 5.42139
[INFO] 2021-01-18 12:29:49 > Step: 41900 Progress: 20.9% Elapsed: 11:41:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.03659 Generator_loss: 5.40185
[INFO] 2021-01-18 12:32:39 > Step: 42000 Progress: 21.0% Elapsed: 11:44:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.88492 Generator_loss: 5.17909
[INFO] 2021-01-18 12:32:39 > Start Evaluation (42000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 12:32:39 > Calculating FID Score....
[INFO] 2021-01-18 12:32:54 > Calculating Inception Score....
[INFO] 2021-01-18 12:33:02 > Calculate F_beta Score....
[INFO] 2021-01-18 12:33:51 > Calculate Accuracies....
[INFO] 2021-01-18 12:33:56 > Calculate Accuracies....
[INFO] 2021-01-18 12:34:09 > F_8 score (Step: 42000, Using valid images): 0.9184657975387517
[INFO] 2021-01-18 12:34:09 > F_1/8 score (Step: 42000, Using valid images): 0.9811298483473679
[INFO] 2021-01-18 12:34:09 > FID score (Step: 42000, Using valid moments): 21.45858156041561
[INFO] 2021-01-18 12:34:09 > Inception score (Step: 42000, 10000 generated images): 14.592123031616211
[INFO] 2021-01-18 12:34:09 > Best FID score (Step: 42000, Using valid moments): 21.45858156041561
[INFO] 2021-01-18 12:34:12 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 12:37:02 > Step: 42100 Progress: 21.1% Elapsed: 11:48:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.11912 Generator_loss: 4.50966
[INFO] 2021-01-18 12:39:52 > Step: 42200 Progress: 21.1% Elapsed: 11:51:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.8386 Generator_loss: 5.32737
[INFO] 2021-01-18 12:42:41 > Step: 42300 Progress: 21.1% Elapsed: 11:54:12 temperature: 1.0 ada_p: No Discriminator_loss: 6.04016 Generator_loss: 5.51319
[INFO] 2021-01-18 12:45:31 > Step: 42400 Progress: 21.2% Elapsed: 11:57:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.06323 Generator_loss: 5.37076
[INFO] 2021-01-18 12:48:22 > Step: 42500 Progress: 21.2% Elapsed: 11:59:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.90972 Generator_loss: 4.38312
[INFO] 2021-01-18 12:51:11 > Step: 42600 Progress: 21.3% Elapsed: 12:02:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.08011 Generator_loss: 4.46023
[INFO] 2021-01-18 12:54:02 > Step: 42700 Progress: 21.3% Elapsed: 12:05:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.92372 Generator_loss: 5.00778
[INFO] 2021-01-18 12:56:51 > Step: 42800 Progress: 21.4% Elapsed: 12:08:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.90803 Generator_loss: 5.39896
[INFO] 2021-01-18 12:59:40 > Step: 42900 Progress: 21.4% Elapsed: 12:11:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.94608 Generator_loss: 5.42768
[INFO] 2021-01-18 13:02:30 > Step: 43000 Progress: 21.5% Elapsed: 12:14:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.05771 Generator_loss: 5.16662
[INFO] 2021-01-18 13:05:20 > Step: 43100 Progress: 21.6% Elapsed: 12:16:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.08458 Generator_loss: 5.48991
[INFO] 2021-01-18 13:08:10 > Step: 43200 Progress: 21.6% Elapsed: 12:19:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.14877 Generator_loss: 5.18234
[INFO] 2021-01-18 13:11:00 > Step: 43300 Progress: 21.6% Elapsed: 12:22:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.93716 Generator_loss: 5.33899
[INFO] 2021-01-18 13:13:50 > Step: 43400 Progress: 21.7% Elapsed: 12:25:21 temperature: 1.0 ada_p: No Discriminator_loss: 6.02904 Generator_loss: 5.61691
[INFO] 2021-01-18 13:16:39 > Step: 43500 Progress: 21.8% Elapsed: 12:28:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.98537 Generator_loss: 4.38703
[INFO] 2021-01-18 13:19:28 > Step: 43600 Progress: 21.8% Elapsed: 12:30:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.98069 Generator_loss: 4.32446
[INFO] 2021-01-18 13:22:17 > Step: 43700 Progress: 21.9% Elapsed: 12:33:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.19112 Generator_loss: 5.22592
[INFO] 2021-01-18 13:25:07 > Step: 43800 Progress: 21.9% Elapsed: 12:36:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.96571 Generator_loss: 4.99353
[INFO] 2021-01-18 13:27:58 > Step: 43900 Progress: 21.9% Elapsed: 12:39:29 temperature: 1.0 ada_p: No Discriminator_loss: 6.11592 Generator_loss: 5.57419
[INFO] 2021-01-18 13:30:46 > Step: 44000 Progress: 22.0% Elapsed: 12:42:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.97812 Generator_loss: 5.53483
[INFO] 2021-01-18 13:30:46 > Start Evaluation (44000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 13:30:46 > Calculating FID Score....
[INFO] 2021-01-18 13:31:02 > Calculating Inception Score....
[INFO] 2021-01-18 13:31:09 > Calculate F_beta Score....
[INFO] 2021-01-18 13:31:58 > Calculate Accuracies....
[INFO] 2021-01-18 13:32:03 > Calculate Accuracies....
[INFO] 2021-01-18 13:32:16 > F_8 score (Step: 44000, Using valid images): 0.9347462371618964
[INFO] 2021-01-18 13:32:16 > F_1/8 score (Step: 44000, Using valid images): 0.978566090826454
[INFO] 2021-01-18 13:32:16 > FID score (Step: 44000, Using valid moments): 21.01140227159823
[INFO] 2021-01-18 13:32:16 > Inception score (Step: 44000, 10000 generated images): 14.99873161315918
[INFO] 2021-01-18 13:32:16 > Best FID score (Step: 44000, Using valid moments): 21.01140227159823
[INFO] 2021-01-18 13:32:19 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 13:35:07 > Step: 44100 Progress: 22.1% Elapsed: 12:46:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.77158 Generator_loss: 5.0179
[INFO] 2021-01-18 13:37:56 > Step: 44200 Progress: 22.1% Elapsed: 12:49:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.09591 Generator_loss: 5.54179
[INFO] 2021-01-18 13:40:45 > Step: 44300 Progress: 22.1% Elapsed: 12:52:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.03311 Generator_loss: 5.43349
[INFO] 2021-01-18 13:43:33 > Step: 44400 Progress: 22.2% Elapsed: 12:55:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.03002 Generator_loss: 4.74328
[INFO] 2021-01-18 13:46:21 > Step: 44500 Progress: 22.2% Elapsed: 12:57:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.94889 Generator_loss: 4.62179
[INFO] 2021-01-18 13:49:10 > Step: 44600 Progress: 22.3% Elapsed: 13:00:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.85059 Generator_loss: 4.69819
[INFO] 2021-01-18 13:52:00 > Step: 44700 Progress: 22.4% Elapsed: 13:03:31 temperature: 1.0 ada_p: No Discriminator_loss: 6.0826 Generator_loss: 4.33256
[INFO] 2021-01-18 13:54:48 > Step: 44800 Progress: 22.4% Elapsed: 13:06:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.95982 Generator_loss: 5.45786
[INFO] 2021-01-18 13:57:37 > Step: 44900 Progress: 22.4% Elapsed: 13:09:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.09597 Generator_loss: 4.05747
[INFO] 2021-01-18 14:00:25 > Step: 45000 Progress: 22.5% Elapsed: 13:11:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.9672 Generator_loss: 5.12759
[INFO] 2021-01-18 14:03:14 > Step: 45100 Progress: 22.6% Elapsed: 13:14:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.96739 Generator_loss: 4.50323
[INFO] 2021-01-18 14:06:02 > Step: 45200 Progress: 22.6% Elapsed: 13:17:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.82433 Generator_loss: 5.02644
[INFO] 2021-01-18 14:08:51 > Step: 45300 Progress: 22.7% Elapsed: 13:20:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.87422 Generator_loss: 4.38036
[INFO] 2021-01-18 14:11:42 > Step: 45400 Progress: 22.7% Elapsed: 13:23:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.96568 Generator_loss: 5.63642
[INFO] 2021-01-18 14:14:33 > Step: 45500 Progress: 22.8% Elapsed: 13:26:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.87176 Generator_loss: 5.04215
[INFO] 2021-01-18 14:17:23 > Step: 45600 Progress: 22.8% Elapsed: 13:28:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.05604 Generator_loss: 5.2568
[INFO] 2021-01-18 14:20:12 > Step: 45700 Progress: 22.9% Elapsed: 13:31:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.00607 Generator_loss: 5.58059
[INFO] 2021-01-18 14:23:00 > Step: 45800 Progress: 22.9% Elapsed: 13:34:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.98917 Generator_loss: 4.44504
[INFO] 2021-01-18 14:25:49 > Step: 45900 Progress: 22.9% Elapsed: 13:37:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.91319 Generator_loss: 5.5806
[INFO] 2021-01-18 14:28:38 > Step: 46000 Progress: 23.0% Elapsed: 13:40:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.14634 Generator_loss: 4.58298
[INFO] 2021-01-18 14:28:38 > Start Evaluation (46000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 14:28:38 > Calculating FID Score....
[INFO] 2021-01-18 14:28:53 > Calculating Inception Score....
[INFO] 2021-01-18 14:29:00 > Calculate F_beta Score....
[INFO] 2021-01-18 14:29:49 > Calculate Accuracies....
[INFO] 2021-01-18 14:29:55 > Calculate Accuracies....
[INFO] 2021-01-18 14:30:07 > F_8 score (Step: 46000, Using valid images): 0.926526609082557
[INFO] 2021-01-18 14:30:07 > F_1/8 score (Step: 46000, Using valid images): 0.9805152787472589
[INFO] 2021-01-18 14:30:07 > FID score (Step: 46000, Using valid moments): 20.957777343776286
[INFO] 2021-01-18 14:30:07 > Inception score (Step: 46000, 10000 generated images): 14.949129104614258
[INFO] 2021-01-18 14:30:07 > Best FID score (Step: 46000, Using valid moments): 20.957777343776286
[INFO] 2021-01-18 14:30:11 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 14:32:59 > Step: 46100 Progress: 23.1% Elapsed: 13:44:30 temperature: 1.0 ada_p: No Discriminator_loss: 6.06126 Generator_loss: 4.85686
[INFO] 2021-01-18 14:35:48 > Step: 46200 Progress: 23.1% Elapsed: 13:47:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.87474 Generator_loss: 4.44626
[INFO] 2021-01-18 14:38:36 > Step: 46300 Progress: 23.2% Elapsed: 13:50:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.35408 Generator_loss: 5.25537
[INFO] 2021-01-18 14:41:25 > Step: 46400 Progress: 23.2% Elapsed: 13:52:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.00864 Generator_loss: 5.54525
[INFO] 2021-01-18 14:44:14 > Step: 46500 Progress: 23.2% Elapsed: 13:55:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.88538 Generator_loss: 4.97473
[INFO] 2021-01-18 14:47:02 > Step: 46600 Progress: 23.3% Elapsed: 13:58:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.98374 Generator_loss: 4.41451
[INFO] 2021-01-18 14:49:52 > Step: 46700 Progress: 23.4% Elapsed: 14:01:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.86587 Generator_loss: 4.30652
[INFO] 2021-01-18 14:52:40 > Step: 46800 Progress: 23.4% Elapsed: 14:04:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.02479 Generator_loss: 4.50714
[INFO] 2021-01-18 14:55:29 > Step: 46900 Progress: 23.4% Elapsed: 14:07:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.84519 Generator_loss: 4.65798
[INFO] 2021-01-18 14:58:18 > Step: 47000 Progress: 23.5% Elapsed: 14:09:49 temperature: 1.0 ada_p: No Discriminator_loss: 6.07988 Generator_loss: 4.81337
[INFO] 2021-01-18 15:01:09 > Step: 47100 Progress: 23.5% Elapsed: 14:12:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.91441 Generator_loss: 4.23908
[INFO] 2021-01-18 15:03:59 > Step: 47200 Progress: 23.6% Elapsed: 14:15:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.85863 Generator_loss: 4.57498
[INFO] 2021-01-18 15:06:48 > Step: 47300 Progress: 23.6% Elapsed: 14:18:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.05658 Generator_loss: 5.00975
[INFO] 2021-01-18 15:09:37 > Step: 47400 Progress: 23.7% Elapsed: 14:21:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.95795 Generator_loss: 4.44213
[INFO] 2021-01-18 15:12:26 > Step: 47500 Progress: 23.8% Elapsed: 14:23:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.99201 Generator_loss: 4.10955
[INFO] 2021-01-18 15:15:15 > Step: 47600 Progress: 23.8% Elapsed: 14:26:45 temperature: 1.0 ada_p: No Discriminator_loss: 6.00209 Generator_loss: 4.2318
[INFO] 2021-01-18 15:18:03 > Step: 47700 Progress: 23.8% Elapsed: 14:29:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.03074 Generator_loss: 5.28634
[INFO] 2021-01-18 15:20:51 > Step: 47800 Progress: 23.9% Elapsed: 14:32:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.8087 Generator_loss: 5.34138
[INFO] 2021-01-18 15:23:40 > Step: 47900 Progress: 23.9% Elapsed: 14:35:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.84096 Generator_loss: 5.52868
[INFO] 2021-01-18 15:26:28 > Step: 48000 Progress: 24.0% Elapsed: 14:37:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.92428 Generator_loss: 5.38137
[INFO] 2021-01-18 15:26:28 > Start Evaluation (48000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 15:26:28 > Calculating FID Score....
[INFO] 2021-01-18 15:26:43 > Calculating Inception Score....
[INFO] 2021-01-18 15:26:51 > Calculate F_beta Score....
[INFO] 2021-01-18 15:27:39 > Calculate Accuracies....
[INFO] 2021-01-18 15:27:44 > Calculate Accuracies....
[INFO] 2021-01-18 15:27:57 > F_8 score (Step: 48000, Using valid images): 0.9344754883603483
[INFO] 2021-01-18 15:27:57 > F_1/8 score (Step: 48000, Using valid images): 0.9834300780424461
[INFO] 2021-01-18 15:27:57 > FID score (Step: 48000, Using valid moments): 20.121687919763588
[INFO] 2021-01-18 15:27:57 > Inception score (Step: 48000, 10000 generated images): 14.82077407836914
[INFO] 2021-01-18 15:27:57 > Best FID score (Step: 48000, Using valid moments): 20.121687919763588
[INFO] 2021-01-18 15:28:01 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 15:30:49 > Step: 48100 Progress: 24.1% Elapsed: 14:42:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.94039 Generator_loss: 5.67643
[INFO] 2021-01-18 15:33:37 > Step: 48200 Progress: 24.1% Elapsed: 14:45:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.30203 Generator_loss: 5.57808
[INFO] 2021-01-18 15:36:26 > Step: 48300 Progress: 24.1% Elapsed: 14:47:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.14577 Generator_loss: 5.33683
[INFO] 2021-01-18 15:39:14 > Step: 48400 Progress: 24.2% Elapsed: 14:50:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.74739 Generator_loss: 5.46662
[INFO] 2021-01-18 15:42:03 > Step: 48500 Progress: 24.2% Elapsed: 14:53:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.91214 Generator_loss: 5.43576
[INFO] 2021-01-18 15:44:51 > Step: 48600 Progress: 24.3% Elapsed: 14:56:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.97483 Generator_loss: 5.18778
[INFO] 2021-01-18 15:47:40 > Step: 48700 Progress: 24.3% Elapsed: 14:59:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.02792 Generator_loss: 5.35561
[INFO] 2021-01-18 15:50:28 > Step: 48800 Progress: 24.4% Elapsed: 15:01:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.97802 Generator_loss: 5.4871
[INFO] 2021-01-18 15:53:17 > Step: 48900 Progress: 24.4% Elapsed: 15:04:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.91557 Generator_loss: 5.5463
[INFO] 2021-01-18 15:56:06 > Step: 49000 Progress: 24.5% Elapsed: 15:07:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.0356 Generator_loss: 5.49395
[INFO] 2021-01-18 15:58:54 > Step: 49100 Progress: 24.6% Elapsed: 15:10:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.85616 Generator_loss: 5.32903
[INFO] 2021-01-18 16:01:43 > Step: 49200 Progress: 24.6% Elapsed: 15:13:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.79845 Generator_loss: 5.58989
[INFO] 2021-01-18 16:04:31 > Step: 49300 Progress: 24.6% Elapsed: 15:16:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.95572 Generator_loss: 5.45691
[INFO] 2021-01-18 16:07:19 > Step: 49400 Progress: 24.7% Elapsed: 15:18:50 temperature: 1.0 ada_p: No Discriminator_loss: 6.03708 Generator_loss: 5.37636
[INFO] 2021-01-18 16:10:07 > Step: 49500 Progress: 24.8% Elapsed: 15:21:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.1826 Generator_loss: 5.2529
[INFO] 2021-01-18 16:12:56 > Step: 49600 Progress: 24.8% Elapsed: 15:24:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.03826 Generator_loss: 5.34194
[INFO] 2021-01-18 16:15:45 > Step: 49700 Progress: 24.9% Elapsed: 15:27:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.10192 Generator_loss: 4.29568
[INFO] 2021-01-18 16:18:34 > Step: 49800 Progress: 24.9% Elapsed: 15:30:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.82335 Generator_loss: 4.65561
[INFO] 2021-01-18 16:21:23 > Step: 49900 Progress: 24.9% Elapsed: 15:32:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.81226 Generator_loss: 4.5022
[INFO] 2021-01-18 16:24:12 > Step: 50000 Progress: 25.0% Elapsed: 15:35:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.95507 Generator_loss: 4.60876
[INFO] 2021-01-18 16:24:12 > Start Evaluation (50000 Step): DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 16:24:12 > Calculating FID Score....
[INFO] 2021-01-18 16:24:27 > Calculating Inception Score....
[INFO] 2021-01-18 16:24:34 > Calculate F_beta Score....
[INFO] 2021-01-18 16:25:23 > Calculate Accuracies....
[INFO] 2021-01-18 16:25:28 > Calculate Accuracies....
[INFO] 2021-01-18 16:25:41 > F_8 score (Step: 50000, Using valid images): 0.9379432200062633
[INFO] 2021-01-18 16:25:41 > F_1/8 score (Step: 50000, Using valid images): 0.9806381290462919
[INFO] 2021-01-18 16:25:41 > FID score (Step: 50000, Using valid moments): 19.878823139985457
[INFO] 2021-01-18 16:25:41 > Inception score (Step: 50000, 10000 generated images): 15.272363662719727
[INFO] 2021-01-18 16:25:41 > Best FID score (Step: 50000, Using valid moments): 19.878823139985457
[INFO] 2021-01-18 16:25:44 > Save model to ./checkpoints/DiffAugGAN(C)-train-2021_01_17_04_59_40
[INFO] 2021-01-18 16:28:32 > Step: 50100 Progress: 25.1% Elapsed: 15:40:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.87727 Generator_loss: 4.57274
[INFO] 2021-01-18 16:31:20 > Step: 50200 Progress: 25.1% Elapsed: 15:42:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.97513 Generator_loss: 4.0996
[INFO] 2021-01-18 16:34:09 > Step: 50300 Progress: 25.1% Elapsed: 15:45:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.88801 Generator_loss: 4.67639
[INFO] 2021-01-18 16:37:00 > Step: 50400 Progress: 25.2% Elapsed: 15:48:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.81437 Generator_loss: 4.17863
[INFO] 2021-01-18 16:39:49 > Step: 50500 Progress: 25.2% Elapsed: 15:51:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.92952 Generator_loss: 4.23355