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DiffAugGAN(C)-train-2020_11_14_16_20_04.log
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DiffAugGAN(C)-train-2020_11_14_16_20_04.log
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[INFO] 2020-11-14 16:20:04 > Run name : DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 16:20:04 > {'config_path': './configs/CIFAR10/DiffAugGAN(C).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, '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, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-11-14 16:20:04 > {'data_processing': {'dataset_name': 'cifar10', 'data_path': './data/cifar10', 'img_size': 32, 'num_classes': 10, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': True, 'hypersphere_dim': 512, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 200000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 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': 1000}}}
[INFO] 2020-11-14 16:20:04 > Loading train datasets...
[INFO] 2020-11-14 16:20:04 > Train dataset size : 50000
[INFO] 2020-11-14 16:20:04 > Loading test datasets...
[INFO] 2020-11-14 16:20:05 > Eval dataset size : 10000
[INFO] 2020-11-14 16:20:05 > Building model...
[INFO] 2020-11-14 16:20:05 > Modules are located on models.big_resnet
[INFO] 2020-11-14 16:20:08 > Number of parameters: 9416196
[INFO] 2020-11-14 16:20:08 > Generator(
(linear0): Linear(in_features=20, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-11-14 16:20:08 > Number of parameters: 2517186
[INFO] 2020-11-14 16:20:08 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=192, out_features=1, bias=True)
(linear2): Linear(in_features=192, out_features=512, bias=True)
(embedding): Embedding(10, 512)
)
[INFO] 2020-11-14 16:20:12 > Start training....
[INFO] 2020-11-14 16:21:05 > Step: 100 Progress: 0.1% Elapsed: 0:00:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.92984 Generator_loss: 2.88944
[INFO] 2020-11-14 16:21:56 > Step: 200 Progress: 0.1% Elapsed: 0:01:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.41331 Generator_loss: 2.62037
[INFO] 2020-11-14 16:22:46 > Step: 300 Progress: 0.1% Elapsed: 0:02:33 temperature: 1.0 ada_p: No Discriminator_loss: 3.35837 Generator_loss: 2.56507
[INFO] 2020-11-14 16:23:36 > Step: 400 Progress: 0.2% Elapsed: 0:03:24 temperature: 1.0 ada_p: No Discriminator_loss: 3.54549 Generator_loss: 1.64035
[INFO] 2020-11-14 16:24:27 > Step: 500 Progress: 0.2% Elapsed: 0:04:15 temperature: 1.0 ada_p: No Discriminator_loss: 3.56921 Generator_loss: 3.4591
[INFO] 2020-11-14 16:25:17 > Step: 600 Progress: 0.3% Elapsed: 0:05:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.35152 Generator_loss: 2.40296
[INFO] 2020-11-14 16:26:08 > Step: 700 Progress: 0.4% Elapsed: 0:05:56 temperature: 1.0 ada_p: No Discriminator_loss: 3.51879 Generator_loss: 2.60607
[INFO] 2020-11-14 16:26:59 > Step: 800 Progress: 0.4% Elapsed: 0:06:47 temperature: 1.0 ada_p: No Discriminator_loss: 3.31895 Generator_loss: 1.76958
[INFO] 2020-11-14 16:27:49 > Step: 900 Progress: 0.4% Elapsed: 0:07:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.34153 Generator_loss: 2.50191
[INFO] 2020-11-14 16:28:40 > Step: 1000 Progress: 0.5% Elapsed: 0:08:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.68511 Generator_loss: 1.08219
[INFO] 2020-11-14 16:29:31 > Step: 1100 Progress: 0.5% Elapsed: 0:09:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.28668 Generator_loss: 1.86269
[INFO] 2020-11-14 16:30:22 > Step: 1200 Progress: 0.6% Elapsed: 0:10:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.34849 Generator_loss: 2.33733
[INFO] 2020-11-14 16:31:12 > Step: 1300 Progress: 0.7% Elapsed: 0:11:00 temperature: 1.0 ada_p: No Discriminator_loss: 3.52457 Generator_loss: 3.08804
[INFO] 2020-11-14 16:32:03 > Step: 1400 Progress: 0.7% Elapsed: 0:11:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.26561 Generator_loss: 2.02571
[INFO] 2020-11-14 16:32:53 > Step: 1500 Progress: 0.8% Elapsed: 0:12:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.99031 Generator_loss: 2.38715
[INFO] 2020-11-14 16:33:44 > Step: 1600 Progress: 0.8% Elapsed: 0:13:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.95851 Generator_loss: 2.00879
[INFO] 2020-11-14 16:34:35 > Step: 1700 Progress: 0.9% Elapsed: 0:14:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.03885 Generator_loss: 2.52221
[INFO] 2020-11-14 16:35:25 > Step: 1800 Progress: 0.9% Elapsed: 0:15:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.00592 Generator_loss: 2.36081
[INFO] 2020-11-14 16:36:16 > Step: 1900 Progress: 0.9% Elapsed: 0:16:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.0911 Generator_loss: 1.80155
[INFO] 2020-11-14 16:37:06 > Step: 2000 Progress: 1.0% Elapsed: 0:16:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.97809 Generator_loss: 2.3831
[INFO] 2020-11-14 16:37:06 > Start Evaluation (2000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 16:39:06 > F_8 score (Step: 2000, Using test images): 0.7316563662386729
[INFO] 2020-11-14 16:39:06 > F_1/8 score (Step: 2000, Using test images): 0.8011506737095851
[INFO] 2020-11-14 16:39:06 > FID score (Step: 2000, Using test moments): 54.678563309628146
[INFO] 2020-11-14 16:39:06 > Inception score (Step: 2000, 10000 generated images): 5.357131481170654
[INFO] 2020-11-14 16:39:06 > Best FID score (Step: 2000, Using test moments): 54.678563309628146
[INFO] 2020-11-14 16:39:08 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 16:39:59 > Step: 2100 Progress: 1.1% Elapsed: 0:19:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.03855 Generator_loss: 1.01894
[INFO] 2020-11-14 16:40:49 > Step: 2200 Progress: 1.1% Elapsed: 0:20:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.10822 Generator_loss: 2.71644
[INFO] 2020-11-14 16:41:40 > Step: 2300 Progress: 1.1% Elapsed: 0:21:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.01313 Generator_loss: 2.25006
[INFO] 2020-11-14 16:42:31 > Step: 2400 Progress: 1.2% Elapsed: 0:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 3.045 Generator_loss: 2.36446
[INFO] 2020-11-14 16:43:21 > Step: 2500 Progress: 1.2% Elapsed: 0:23:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.03417 Generator_loss: 1.78816
[INFO] 2020-11-14 16:44:12 > Step: 2600 Progress: 1.3% Elapsed: 0:23:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.23183 Generator_loss: 2.90314
[INFO] 2020-11-14 16:45:02 > Step: 2700 Progress: 1.4% Elapsed: 0:24:50 temperature: 1.0 ada_p: No Discriminator_loss: 3.09998 Generator_loss: 3.11087
[INFO] 2020-11-14 16:45:53 > Step: 2800 Progress: 1.4% Elapsed: 0:25:41 temperature: 1.0 ada_p: No Discriminator_loss: 3.20263 Generator_loss: 2.91317
[INFO] 2020-11-14 16:46:44 > Step: 2900 Progress: 1.5% Elapsed: 0:26:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.70206 Generator_loss: 2.06614
[INFO] 2020-11-14 16:47:35 > Step: 3000 Progress: 1.5% Elapsed: 0:27:22 temperature: 1.0 ada_p: No Discriminator_loss: 3.30488 Generator_loss: 3.42453
[INFO] 2020-11-14 16:48:25 > Step: 3100 Progress: 1.6% Elapsed: 0:28:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.3278 Generator_loss: 1.86616
[INFO] 2020-11-14 16:49:16 > Step: 3200 Progress: 1.6% Elapsed: 0:29:03 temperature: 1.0 ada_p: No Discriminator_loss: 3.53935 Generator_loss: 1.86631
[INFO] 2020-11-14 16:50:07 > Step: 3300 Progress: 1.7% Elapsed: 0:29:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.99148 Generator_loss: 1.98791
[INFO] 2020-11-14 16:50:57 > Step: 3400 Progress: 1.7% Elapsed: 0:30:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.96724 Generator_loss: 1.95198
[INFO] 2020-11-14 16:51:48 > Step: 3500 Progress: 1.8% Elapsed: 0:31:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.98196 Generator_loss: 3.10516
[INFO] 2020-11-14 16:52:39 > Step: 3600 Progress: 1.8% Elapsed: 0:32:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.22566 Generator_loss: 1.08942
[INFO] 2020-11-14 16:53:29 > Step: 3700 Progress: 1.8% Elapsed: 0:33:17 temperature: 1.0 ada_p: No Discriminator_loss: 3.05979 Generator_loss: 1.86326
[INFO] 2020-11-14 16:54:20 > Step: 3800 Progress: 1.9% Elapsed: 0:34:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.96262 Generator_loss: 2.11713
[INFO] 2020-11-14 16:55:11 > Step: 3900 Progress: 1.9% Elapsed: 0:34:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.4737 Generator_loss: 2.65241
[INFO] 2020-11-14 16:56:01 > Step: 4000 Progress: 2.0% Elapsed: 0:35:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.82092 Generator_loss: 2.29951
[INFO] 2020-11-14 16:56:01 > Start Evaluation (4000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 16:57:59 > F_8 score (Step: 4000, Using test images): 0.7641777697230582
[INFO] 2020-11-14 16:57:59 > F_1/8 score (Step: 4000, Using test images): 0.7953757058438302
[INFO] 2020-11-14 16:57:59 > FID score (Step: 4000, Using test moments): 48.903711689488034
[INFO] 2020-11-14 16:57:59 > Inception score (Step: 4000, 10000 generated images): 6.151987552642822
[INFO] 2020-11-14 16:57:59 > Best FID score (Step: 4000, Using test moments): 48.903711689488034
[INFO] 2020-11-14 16:58:00 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 16:58:51 > Step: 4100 Progress: 2.1% Elapsed: 0:38:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.34187 Generator_loss: 2.85693
[INFO] 2020-11-14 16:59:41 > Step: 4200 Progress: 2.1% Elapsed: 0:39:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.87424 Generator_loss: 2.8684
[INFO] 2020-11-14 17:00:32 > Step: 4300 Progress: 2.1% Elapsed: 0:40:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.92602 Generator_loss: 2.42435
[INFO] 2020-11-14 17:01:23 > Step: 4400 Progress: 2.2% Elapsed: 0:41:11 temperature: 1.0 ada_p: No Discriminator_loss: 3.03677 Generator_loss: 2.44418
[INFO] 2020-11-14 17:02:14 > Step: 4500 Progress: 2.2% Elapsed: 0:42:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.89213 Generator_loss: 2.23849
[INFO] 2020-11-14 17:03:05 > Step: 4600 Progress: 2.3% Elapsed: 0:42:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.8972 Generator_loss: 1.73288
[INFO] 2020-11-14 17:03:56 > Step: 4700 Progress: 2.4% Elapsed: 0:43:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.84056 Generator_loss: 2.65994
[INFO] 2020-11-14 17:04:47 > Step: 4800 Progress: 2.4% Elapsed: 0:44:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.67821 Generator_loss: 3.04576
[INFO] 2020-11-14 17:05:37 > Step: 4900 Progress: 2.5% Elapsed: 0:45:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.7901 Generator_loss: 2.15839
[INFO] 2020-11-14 17:06:28 > Step: 5000 Progress: 2.5% Elapsed: 0:46:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.8863 Generator_loss: 2.73855
[INFO] 2020-11-14 17:07:19 > Step: 5100 Progress: 2.5% Elapsed: 0:47:06 temperature: 1.0 ada_p: No Discriminator_loss: 3.0683 Generator_loss: 1.74001
[INFO] 2020-11-14 17:08:10 > Step: 5200 Progress: 2.6% Elapsed: 0:47:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.92989 Generator_loss: 2.29712
[INFO] 2020-11-14 17:09:00 > Step: 5300 Progress: 2.6% Elapsed: 0:48:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.92017 Generator_loss: 2.37766
[INFO] 2020-11-14 17:09:51 > Step: 5400 Progress: 2.7% Elapsed: 0:49:39 temperature: 1.0 ada_p: No Discriminator_loss: 3.08286 Generator_loss: 2.14581
[INFO] 2020-11-14 17:10:43 > Step: 5500 Progress: 2.8% Elapsed: 0:50:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.75476 Generator_loss: 3.18909
[INFO] 2020-11-14 17:11:33 > Step: 5600 Progress: 2.8% Elapsed: 0:51:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.02297 Generator_loss: 2.65145
[INFO] 2020-11-14 17:12:24 > Step: 5700 Progress: 2.9% Elapsed: 0:52:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.88579 Generator_loss: 3.02295
[INFO] 2020-11-14 17:13:14 > Step: 5800 Progress: 2.9% Elapsed: 0:53:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.82083 Generator_loss: 2.24765
[INFO] 2020-11-14 17:14:05 > Step: 5900 Progress: 2.9% Elapsed: 0:53:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.85583 Generator_loss: 1.8888
[INFO] 2020-11-14 17:14:55 > Step: 6000 Progress: 3.0% Elapsed: 0:54:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.84646 Generator_loss: 1.92249
[INFO] 2020-11-14 17:14:56 > Start Evaluation (6000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:16:53 > F_8 score (Step: 6000, Using test images): 0.8142951952029632
[INFO] 2020-11-14 17:16:53 > F_1/8 score (Step: 6000, Using test images): 0.8194685373711921
[INFO] 2020-11-14 17:16:53 > FID score (Step: 6000, Using test moments): 45.20281895995112
[INFO] 2020-11-14 17:16:53 > Inception score (Step: 6000, 10000 generated images): 6.876346588134766
[INFO] 2020-11-14 17:16:53 > Best FID score (Step: 6000, Using test moments): 45.20281895995112
[INFO] 2020-11-14 17:16:55 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:17:46 > Step: 6100 Progress: 3.0% Elapsed: 0:57:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.94738 Generator_loss: 2.74112
[INFO] 2020-11-14 17:18:36 > Step: 6200 Progress: 3.1% Elapsed: 0:58:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.92735 Generator_loss: 2.40377
[INFO] 2020-11-14 17:19:26 > Step: 6300 Progress: 3.1% Elapsed: 0:59:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.84664 Generator_loss: 2.35815
[INFO] 2020-11-14 17:20:17 > Step: 6400 Progress: 3.2% Elapsed: 1:00:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.81213 Generator_loss: 2.18463
[INFO] 2020-11-14 17:21:07 > Step: 6500 Progress: 3.2% Elapsed: 1:00:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.72507 Generator_loss: 2.26778
[INFO] 2020-11-14 17:21:59 > Step: 6600 Progress: 3.3% Elapsed: 1:01:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.65356 Generator_loss: 2.65417
[INFO] 2020-11-14 17:22:49 > Step: 6700 Progress: 3.4% Elapsed: 1:02:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.89121 Generator_loss: 2.69678
[INFO] 2020-11-14 17:23:40 > Step: 6800 Progress: 3.4% Elapsed: 1:03:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.94723 Generator_loss: 2.29994
[INFO] 2020-11-14 17:24:31 > Step: 6900 Progress: 3.5% Elapsed: 1:04:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.76662 Generator_loss: 2.1479
[INFO] 2020-11-14 17:25:21 > Step: 7000 Progress: 3.5% Elapsed: 1:05:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.77857 Generator_loss: 2.29981
[INFO] 2020-11-14 17:26:12 > Step: 7100 Progress: 3.5% Elapsed: 1:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.69882 Generator_loss: 2.91025
[INFO] 2020-11-14 17:27:02 > Step: 7200 Progress: 3.6% Elapsed: 1:06:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.68255 Generator_loss: 2.25539
[INFO] 2020-11-14 17:27:53 > Step: 7300 Progress: 3.6% Elapsed: 1:07:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.72251 Generator_loss: 2.42789
[INFO] 2020-11-14 17:28:44 > Step: 7400 Progress: 3.7% Elapsed: 1:08:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.94675 Generator_loss: 2.14618
[INFO] 2020-11-14 17:29:35 > Step: 7500 Progress: 3.8% Elapsed: 1:09:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.73952 Generator_loss: 1.93985
[INFO] 2020-11-14 17:30:25 > Step: 7600 Progress: 3.8% Elapsed: 1:10:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.95726 Generator_loss: 1.72729
[INFO] 2020-11-14 17:31:16 > Step: 7700 Progress: 3.9% Elapsed: 1:11:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.89429 Generator_loss: 1.60017
[INFO] 2020-11-14 17:32:07 > Step: 7800 Progress: 3.9% Elapsed: 1:11:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.97543 Generator_loss: 2.22012
[INFO] 2020-11-14 17:32:58 > Step: 7900 Progress: 4.0% Elapsed: 1:12:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.73193 Generator_loss: 1.93144
[INFO] 2020-11-14 17:33:49 > Step: 8000 Progress: 4.0% Elapsed: 1:13:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.6601 Generator_loss: 1.68893
[INFO] 2020-11-14 17:33:49 > Start Evaluation (8000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:35:47 > F_8 score (Step: 8000, Using test images): 0.8687318743841478
[INFO] 2020-11-14 17:35:47 > F_1/8 score (Step: 8000, Using test images): 0.8641993787091151
[INFO] 2020-11-14 17:35:47 > FID score (Step: 8000, Using test moments): 39.22620345568771
[INFO] 2020-11-14 17:35:47 > Inception score (Step: 8000, 10000 generated images): 7.492012977600098
[INFO] 2020-11-14 17:35:47 > Best FID score (Step: 8000, Using test moments): 39.22620345568771
[INFO] 2020-11-14 17:35:48 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:36:39 > Step: 8100 Progress: 4.0% Elapsed: 1:16:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.87813 Generator_loss: 1.7386
[INFO] 2020-11-14 17:37:29 > Step: 8200 Progress: 4.1% Elapsed: 1:17:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.57654 Generator_loss: 2.78043
[INFO] 2020-11-14 17:38:20 > Step: 8300 Progress: 4.2% Elapsed: 1:18:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.54916 Generator_loss: 2.84226
[INFO] 2020-11-14 17:39:10 > Step: 8400 Progress: 4.2% Elapsed: 1:18:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.66964 Generator_loss: 2.00005
[INFO] 2020-11-14 17:40:01 > Step: 8500 Progress: 4.2% Elapsed: 1:19:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.76998 Generator_loss: 2.62347
[INFO] 2020-11-14 17:40:52 > Step: 8600 Progress: 4.3% Elapsed: 1:20:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.87349 Generator_loss: 1.88021
[INFO] 2020-11-14 17:41:42 > Step: 8700 Progress: 4.3% Elapsed: 1:21:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.53774 Generator_loss: 2.15083
[INFO] 2020-11-14 17:42:32 > Step: 8800 Progress: 4.4% Elapsed: 1:22:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.78927 Generator_loss: 2.52446
[INFO] 2020-11-14 17:43:22 > Step: 8900 Progress: 4.5% Elapsed: 1:23:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.85921 Generator_loss: 2.08889
[INFO] 2020-11-14 17:44:14 > Step: 9000 Progress: 4.5% Elapsed: 1:24:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.78086 Generator_loss: 2.62813
[INFO] 2020-11-14 17:45:05 > Step: 9100 Progress: 4.5% Elapsed: 1:24:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.87686 Generator_loss: 1.86637
[INFO] 2020-11-14 17:45:55 > Step: 9200 Progress: 4.6% Elapsed: 1:25:42 temperature: 1.0 ada_p: No Discriminator_loss: 3.00424 Generator_loss: 2.22137
[INFO] 2020-11-14 17:46:45 > Step: 9300 Progress: 4.7% Elapsed: 1:26:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.83707 Generator_loss: 2.20222
[INFO] 2020-11-14 17:47:36 > Step: 9400 Progress: 4.7% Elapsed: 1:27:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.86451 Generator_loss: 2.35801
[INFO] 2020-11-14 17:48:26 > Step: 9500 Progress: 4.8% Elapsed: 1:28:13 temperature: 1.0 ada_p: No Discriminator_loss: 3.2981 Generator_loss: 2.38189
[INFO] 2020-11-14 17:49:16 > Step: 9600 Progress: 4.8% Elapsed: 1:29:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.87387 Generator_loss: 2.38544
[INFO] 2020-11-14 17:50:07 > Step: 9700 Progress: 4.9% Elapsed: 1:29:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.73468 Generator_loss: 2.49514
[INFO] 2020-11-14 17:50:57 > Step: 9800 Progress: 4.9% Elapsed: 1:30:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.96559 Generator_loss: 1.64631
[INFO] 2020-11-14 17:51:48 > Step: 9900 Progress: 5.0% Elapsed: 1:31:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.7812 Generator_loss: 1.72541
[INFO] 2020-11-14 17:52:39 > Step: 10000 Progress: 5.0% Elapsed: 1:32:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.71861 Generator_loss: 1.90168
[INFO] 2020-11-14 17:52:39 > Start Evaluation (10000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:54:38 > F_8 score (Step: 10000, Using test images): 0.9094261239035927
[INFO] 2020-11-14 17:54:38 > F_1/8 score (Step: 10000, Using test images): 0.9139112749008925
[INFO] 2020-11-14 17:54:38 > FID score (Step: 10000, Using test moments): 33.712256769070166
[INFO] 2020-11-14 17:54:38 > Inception score (Step: 10000, 10000 generated images): 7.847484588623047
[INFO] 2020-11-14 17:54:38 > Best FID score (Step: 10000, Using test moments): 33.712256769070166
[INFO] 2020-11-14 17:54:39 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 17:55:29 > Step: 10100 Progress: 5.1% Elapsed: 1:35:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.89739 Generator_loss: 2.68809
[INFO] 2020-11-14 17:56:20 > Step: 10200 Progress: 5.1% Elapsed: 1:36:08 temperature: 1.0 ada_p: No Discriminator_loss: 3.46285 Generator_loss: 1.44112
[INFO] 2020-11-14 17:57:11 > Step: 10300 Progress: 5.1% Elapsed: 1:36:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.71432 Generator_loss: 2.18424
[INFO] 2020-11-14 17:58:02 > Step: 10400 Progress: 5.2% Elapsed: 1:37:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.64265 Generator_loss: 1.90892
[INFO] 2020-11-14 17:58:53 > Step: 10500 Progress: 5.2% Elapsed: 1:38:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.61674 Generator_loss: 2.61655
[INFO] 2020-11-14 17:59:44 > Step: 10600 Progress: 5.3% Elapsed: 1:39:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.74849 Generator_loss: 2.55032
[INFO] 2020-11-14 18:00:34 > Step: 10700 Progress: 5.3% Elapsed: 1:40:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.79397 Generator_loss: 2.44918
[INFO] 2020-11-14 18:01:25 > Step: 10800 Progress: 5.4% Elapsed: 1:41:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.81613 Generator_loss: 1.84423
[INFO] 2020-11-14 18:02:16 > Step: 10900 Progress: 5.5% Elapsed: 1:42:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.70504 Generator_loss: 1.72131
[INFO] 2020-11-14 18:03:07 > Step: 11000 Progress: 5.5% Elapsed: 1:42:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.91024 Generator_loss: 2.40217
[INFO] 2020-11-14 18:03:58 > Step: 11100 Progress: 5.5% Elapsed: 1:43:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.6978 Generator_loss: 2.27597
[INFO] 2020-11-14 18:04:49 > Step: 11200 Progress: 5.6% Elapsed: 1:44:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.71126 Generator_loss: 2.89827
[INFO] 2020-11-14 18:05:39 > Step: 11300 Progress: 5.7% Elapsed: 1:45:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.97253 Generator_loss: 2.68765
[INFO] 2020-11-14 18:06:30 > Step: 11400 Progress: 5.7% Elapsed: 1:46:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.84634 Generator_loss: 2.60322
[INFO] 2020-11-14 18:07:21 > Step: 11500 Progress: 5.8% Elapsed: 1:47:09 temperature: 1.0 ada_p: No Discriminator_loss: 3.04542 Generator_loss: 2.0054
[INFO] 2020-11-14 18:08:12 > Step: 11600 Progress: 5.8% Elapsed: 1:48:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.71112 Generator_loss: 2.41874
[INFO] 2020-11-14 18:09:03 > Step: 11700 Progress: 5.9% Elapsed: 1:48:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.72416 Generator_loss: 1.52824
[INFO] 2020-11-14 18:09:54 > Step: 11800 Progress: 5.9% Elapsed: 1:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.71824 Generator_loss: 1.5354
[INFO] 2020-11-14 18:10:44 > Step: 11900 Progress: 5.9% Elapsed: 1:50:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.45688 Generator_loss: 2.59023
[INFO] 2020-11-14 18:11:35 > Step: 12000 Progress: 6.0% Elapsed: 1:51:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.969 Generator_loss: 2.26047
[INFO] 2020-11-14 18:11:35 > Start Evaluation (12000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:13:32 > F_8 score (Step: 12000, Using test images): 0.9168902786779455
[INFO] 2020-11-14 18:13:32 > F_1/8 score (Step: 12000, Using test images): 0.9400608351009712
[INFO] 2020-11-14 18:13:32 > FID score (Step: 12000, Using test moments): 28.712251576466656
[INFO] 2020-11-14 18:13:32 > Inception score (Step: 12000, 10000 generated images): 8.337239265441895
[INFO] 2020-11-14 18:13:32 > Best FID score (Step: 12000, Using test moments): 28.712251576466656
[INFO] 2020-11-14 18:13:33 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:14:24 > Step: 12100 Progress: 6.0% Elapsed: 1:54:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.88539 Generator_loss: 1.67253
[INFO] 2020-11-14 18:15:15 > Step: 12200 Progress: 6.1% Elapsed: 1:55:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.71136 Generator_loss: 2.21816
[INFO] 2020-11-14 18:16:05 > Step: 12300 Progress: 6.2% Elapsed: 1:55:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.69774 Generator_loss: 2.29224
[INFO] 2020-11-14 18:16:55 > Step: 12400 Progress: 6.2% Elapsed: 1:56:43 temperature: 1.0 ada_p: No Discriminator_loss: 3.09985 Generator_loss: 2.78347
[INFO] 2020-11-14 18:17:46 > Step: 12500 Progress: 6.2% Elapsed: 1:57:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.88868 Generator_loss: 1.81163
[INFO] 2020-11-14 18:18:36 > Step: 12600 Progress: 6.3% Elapsed: 1:58:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.925 Generator_loss: 2.95364
[INFO] 2020-11-14 18:19:27 > Step: 12700 Progress: 6.3% Elapsed: 1:59:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.7371 Generator_loss: 2.29681
[INFO] 2020-11-14 18:20:17 > Step: 12800 Progress: 6.4% Elapsed: 2:00:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.64213 Generator_loss: 1.88758
[INFO] 2020-11-14 18:21:07 > Step: 12900 Progress: 6.5% Elapsed: 2:00:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.60047 Generator_loss: 2.9803
[INFO] 2020-11-14 18:21:58 > Step: 13000 Progress: 6.5% Elapsed: 2:01:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.59784 Generator_loss: 2.46693
[INFO] 2020-11-14 18:22:48 > Step: 13100 Progress: 6.6% Elapsed: 2:02:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.70417 Generator_loss: 2.05178
[INFO] 2020-11-14 18:23:39 > Step: 13200 Progress: 6.6% Elapsed: 2:03:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.42886 Generator_loss: 2.63983
[INFO] 2020-11-14 18:24:30 > Step: 13300 Progress: 6.7% Elapsed: 2:04:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.67161 Generator_loss: 2.50284
[INFO] 2020-11-14 18:25:21 > Step: 13400 Progress: 6.7% Elapsed: 2:05:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.61811 Generator_loss: 1.91184
[INFO] 2020-11-14 18:26:12 > Step: 13500 Progress: 6.8% Elapsed: 2:06:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.89337 Generator_loss: 1.8779
[INFO] 2020-11-14 18:27:03 > Step: 13600 Progress: 6.8% Elapsed: 2:06:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.88878 Generator_loss: 1.8348
[INFO] 2020-11-14 18:27:54 > Step: 13700 Progress: 6.9% Elapsed: 2:07:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.32193 Generator_loss: 2.13493
[INFO] 2020-11-14 18:28:45 > Step: 13800 Progress: 6.9% Elapsed: 2:08:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.64467 Generator_loss: 2.27616
[INFO] 2020-11-14 18:29:35 > Step: 13900 Progress: 7.0% Elapsed: 2:09:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.68493 Generator_loss: 1.42898
[INFO] 2020-11-14 18:30:26 > Step: 14000 Progress: 7.0% Elapsed: 2:10:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.93961 Generator_loss: 1.86905
[INFO] 2020-11-14 18:30:26 > Start Evaluation (14000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:32:22 > F_8 score (Step: 14000, Using test images): 0.9447894636955905
[INFO] 2020-11-14 18:32:22 > F_1/8 score (Step: 14000, Using test images): 0.9640317979262673
[INFO] 2020-11-14 18:32:22 > FID score (Step: 14000, Using test moments): 25.081748914796265
[INFO] 2020-11-14 18:32:22 > Inception score (Step: 14000, 10000 generated images): 8.659341812133789
[INFO] 2020-11-14 18:32:22 > Best FID score (Step: 14000, Using test moments): 25.081748914796265
[INFO] 2020-11-14 18:32:23 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:33:14 > Step: 14100 Progress: 7.0% Elapsed: 2:13:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.83997 Generator_loss: 1.56208
[INFO] 2020-11-14 18:34:04 > Step: 14200 Progress: 7.1% Elapsed: 2:13:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.84091 Generator_loss: 2.11478
[INFO] 2020-11-14 18:34:55 > Step: 14300 Progress: 7.1% Elapsed: 2:14:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.59728 Generator_loss: 2.40142
[INFO] 2020-11-14 18:35:46 > Step: 14400 Progress: 7.2% Elapsed: 2:15:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.62612 Generator_loss: 1.88444
[INFO] 2020-11-14 18:36:36 > Step: 14500 Progress: 7.2% Elapsed: 2:16:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.85998 Generator_loss: 1.68754
[INFO] 2020-11-14 18:37:27 > Step: 14600 Progress: 7.3% Elapsed: 2:17:14 temperature: 1.0 ada_p: No Discriminator_loss: 3.17637 Generator_loss: 2.69612
[INFO] 2020-11-14 18:38:18 > Step: 14700 Progress: 7.3% Elapsed: 2:18:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.82601 Generator_loss: 2.3044
[INFO] 2020-11-14 18:39:08 > Step: 14800 Progress: 7.4% Elapsed: 2:18:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.96832 Generator_loss: 2.60516
[INFO] 2020-11-14 18:39:59 > Step: 14900 Progress: 7.4% Elapsed: 2:19:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.76298 Generator_loss: 1.60073
[INFO] 2020-11-14 18:40:50 > Step: 15000 Progress: 7.5% Elapsed: 2:20:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.02057 Generator_loss: 2.05899
[INFO] 2020-11-14 18:41:40 > Step: 15100 Progress: 7.5% Elapsed: 2:21:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.81433 Generator_loss: 2.86976
[INFO] 2020-11-14 18:42:30 > Step: 15200 Progress: 7.6% Elapsed: 2:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.86587 Generator_loss: 2.47886
[INFO] 2020-11-14 18:43:21 > Step: 15300 Progress: 7.6% Elapsed: 2:23:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.79028 Generator_loss: 1.25451
[INFO] 2020-11-14 18:44:12 > Step: 15400 Progress: 7.7% Elapsed: 2:23:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.83216 Generator_loss: 2.48
[INFO] 2020-11-14 18:45:03 > Step: 15500 Progress: 7.8% Elapsed: 2:24:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.74019 Generator_loss: 2.09739
[INFO] 2020-11-14 18:45:53 > Step: 15600 Progress: 7.8% Elapsed: 2:25:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.55619 Generator_loss: 2.06301
[INFO] 2020-11-14 18:46:45 > Step: 15700 Progress: 7.8% Elapsed: 2:26:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.58745 Generator_loss: 2.69491
[INFO] 2020-11-14 18:47:36 > Step: 15800 Progress: 7.9% Elapsed: 2:27:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.03156 Generator_loss: 1.41875
[INFO] 2020-11-14 18:48:26 > Step: 15900 Progress: 8.0% Elapsed: 2:28:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.66791 Generator_loss: 2.61457
[INFO] 2020-11-14 18:49:17 > Step: 16000 Progress: 8.0% Elapsed: 2:29:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.04964 Generator_loss: 2.40566
[INFO] 2020-11-14 18:49:17 > Start Evaluation (16000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:51:15 > F_8 score (Step: 16000, Using test images): 0.9581380527378306
[INFO] 2020-11-14 18:51:15 > F_1/8 score (Step: 16000, Using test images): 0.9744227424101657
[INFO] 2020-11-14 18:51:15 > FID score (Step: 16000, Using test moments): 21.42894009263648
[INFO] 2020-11-14 18:51:15 > Inception score (Step: 16000, 10000 generated images): 8.789901733398438
[INFO] 2020-11-14 18:51:15 > Best FID score (Step: 16000, Using test moments): 21.42894009263648
[INFO] 2020-11-14 18:51:16 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 18:52:07 > Step: 16100 Progress: 8.1% Elapsed: 2:31:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.99945 Generator_loss: 2.35807
[INFO] 2020-11-14 18:52:57 > Step: 16200 Progress: 8.1% Elapsed: 2:32:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.89856 Generator_loss: 2.45356
[INFO] 2020-11-14 18:53:47 > Step: 16300 Progress: 8.2% Elapsed: 2:33:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.61229 Generator_loss: 2.4063
[INFO] 2020-11-14 18:54:38 > Step: 16400 Progress: 8.2% Elapsed: 2:34:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.7955 Generator_loss: 2.47621
[INFO] 2020-11-14 18:55:29 > Step: 16500 Progress: 8.2% Elapsed: 2:35:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.8463 Generator_loss: 2.31886
[INFO] 2020-11-14 18:56:20 > Step: 16600 Progress: 8.3% Elapsed: 2:36:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.54756 Generator_loss: 2.12166
[INFO] 2020-11-14 18:57:10 > Step: 16700 Progress: 8.3% Elapsed: 2:36:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.77917 Generator_loss: 1.96922
[INFO] 2020-11-14 18:58:01 > Step: 16800 Progress: 8.4% Elapsed: 2:37:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.76803 Generator_loss: 1.62501
[INFO] 2020-11-14 18:58:52 > Step: 16900 Progress: 8.5% Elapsed: 2:38:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.7218 Generator_loss: 2.99865
[INFO] 2020-11-14 18:59:42 > Step: 17000 Progress: 8.5% Elapsed: 2:39:30 temperature: 1.0 ada_p: No Discriminator_loss: 3.16118 Generator_loss: 1.49138
[INFO] 2020-11-14 19:00:34 > Step: 17100 Progress: 8.6% Elapsed: 2:40:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.89917 Generator_loss: 2.01167
[INFO] 2020-11-14 19:01:24 > Step: 17200 Progress: 8.6% Elapsed: 2:41:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.67874 Generator_loss: 1.47783
[INFO] 2020-11-14 19:02:15 > Step: 17300 Progress: 8.6% Elapsed: 2:42:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.11646 Generator_loss: 2.78533
[INFO] 2020-11-14 19:03:05 > Step: 17400 Progress: 8.7% Elapsed: 2:42:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.793 Generator_loss: 1.99553
[INFO] 2020-11-14 19:03:57 > Step: 17500 Progress: 8.8% Elapsed: 2:43:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.67452 Generator_loss: 1.98252
[INFO] 2020-11-14 19:04:47 > Step: 17600 Progress: 8.8% Elapsed: 2:44:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.84442 Generator_loss: 1.96175
[INFO] 2020-11-14 19:05:38 > Step: 17700 Progress: 8.8% Elapsed: 2:45:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.91292 Generator_loss: 2.58879
[INFO] 2020-11-14 19:06:29 > Step: 17800 Progress: 8.9% Elapsed: 2:46:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.71328 Generator_loss: 2.15115
[INFO] 2020-11-14 19:07:19 > Step: 17900 Progress: 8.9% Elapsed: 2:47:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.59324 Generator_loss: 2.04807
[INFO] 2020-11-14 19:08:10 > Step: 18000 Progress: 9.0% Elapsed: 2:47:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.65955 Generator_loss: 1.96945
[INFO] 2020-11-14 19:08:10 > Start Evaluation (18000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:10:06 > F_8 score (Step: 18000, Using test images): 0.9727208463272443
[INFO] 2020-11-14 19:10:06 > F_1/8 score (Step: 18000, Using test images): 0.9786439053674263
[INFO] 2020-11-14 19:10:06 > FID score (Step: 18000, Using test moments): 19.210139806597454
[INFO] 2020-11-14 19:10:06 > Inception score (Step: 18000, 10000 generated images): 9.112678527832031
[INFO] 2020-11-14 19:10:06 > Best FID score (Step: 18000, Using test moments): 19.210139806597454
[INFO] 2020-11-14 19:10:08 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:10:58 > Step: 18100 Progress: 9.0% Elapsed: 2:50:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.88513 Generator_loss: 1.83079
[INFO] 2020-11-14 19:11:49 > Step: 18200 Progress: 9.1% Elapsed: 2:51:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.77712 Generator_loss: 1.98025
[INFO] 2020-11-14 19:12:39 > Step: 18300 Progress: 9.2% Elapsed: 2:52:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.06812 Generator_loss: 2.2611
[INFO] 2020-11-14 19:13:30 > Step: 18400 Progress: 9.2% Elapsed: 2:53:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.93654 Generator_loss: 2.12781
[INFO] 2020-11-14 19:14:20 > Step: 18500 Progress: 9.2% Elapsed: 2:54:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.46192 Generator_loss: 2.75047
[INFO] 2020-11-14 19:15:11 > Step: 18600 Progress: 9.3% Elapsed: 2:54:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.23358 Generator_loss: 2.69127
[INFO] 2020-11-14 19:16:02 > Step: 18700 Progress: 9.3% Elapsed: 2:55:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.83081 Generator_loss: 1.96738
[INFO] 2020-11-14 19:16:52 > Step: 18800 Progress: 9.4% Elapsed: 2:56:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.97242 Generator_loss: 2.04702
[INFO] 2020-11-14 19:17:43 > Step: 18900 Progress: 9.4% Elapsed: 2:57:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.78394 Generator_loss: 2.09756
[INFO] 2020-11-14 19:18:34 > Step: 19000 Progress: 9.5% Elapsed: 2:58:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.70927 Generator_loss: 2.61433
[INFO] 2020-11-14 19:19:25 > Step: 19100 Progress: 9.6% Elapsed: 2:59:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.68986 Generator_loss: 2.36709
[INFO] 2020-11-14 19:20:15 > Step: 19200 Progress: 9.6% Elapsed: 3:00:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.79004 Generator_loss: 2.18262
[INFO] 2020-11-14 19:21:06 > Step: 19300 Progress: 9.7% Elapsed: 3:00:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.58912 Generator_loss: 1.9877
[INFO] 2020-11-14 19:21:57 > Step: 19400 Progress: 9.7% Elapsed: 3:01:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.92659 Generator_loss: 1.7277
[INFO] 2020-11-14 19:22:48 > Step: 19500 Progress: 9.8% Elapsed: 3:02:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.60572 Generator_loss: 2.25299
[INFO] 2020-11-14 19:23:38 > Step: 19600 Progress: 9.8% Elapsed: 3:03:26 temperature: 1.0 ada_p: No Discriminator_loss: 3.07007 Generator_loss: 2.16383
[INFO] 2020-11-14 19:24:29 > Step: 19700 Progress: 9.8% Elapsed: 3:04:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.9038 Generator_loss: 2.18645
[INFO] 2020-11-14 19:25:20 > Step: 19800 Progress: 9.9% Elapsed: 3:05:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.68297 Generator_loss: 2.29117
[INFO] 2020-11-14 19:26:11 > Step: 19900 Progress: 10.0% Elapsed: 3:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.81682 Generator_loss: 2.6068
[INFO] 2020-11-14 19:27:02 > Step: 20000 Progress: 10.0% Elapsed: 3:06:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.87476 Generator_loss: 2.63755
[INFO] 2020-11-14 19:27:02 > Start Evaluation (20000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:28:59 > F_8 score (Step: 20000, Using test images): 0.964949786879032
[INFO] 2020-11-14 19:28:59 > F_1/8 score (Step: 20000, Using test images): 0.9818710768943881
[INFO] 2020-11-14 19:28:59 > FID score (Step: 20000, Using test moments): 16.999962816655284
[INFO] 2020-11-14 19:28:59 > Inception score (Step: 20000, 10000 generated images): 9.32307243347168
[INFO] 2020-11-14 19:28:59 > Best FID score (Step: 20000, Using test moments): 16.999962816655284
[INFO] 2020-11-14 19:29:00 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:29:50 > Step: 20100 Progress: 10.1% Elapsed: 3:09:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.80946 Generator_loss: 2.23363
[INFO] 2020-11-14 19:30:41 > Step: 20200 Progress: 10.1% Elapsed: 3:10:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.10303 Generator_loss: 2.85333
[INFO] 2020-11-14 19:31:31 > Step: 20300 Progress: 10.2% Elapsed: 3:11:19 temperature: 1.0 ada_p: No Discriminator_loss: 3.00137 Generator_loss: 2.25368
[INFO] 2020-11-14 19:32:22 > Step: 20400 Progress: 10.2% Elapsed: 3:12:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.77493 Generator_loss: 2.95087
[INFO] 2020-11-14 19:33:13 > Step: 20500 Progress: 10.2% Elapsed: 3:13:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.52147 Generator_loss: 2.27166
[INFO] 2020-11-14 19:34:03 > Step: 20600 Progress: 10.3% Elapsed: 3:13:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.88263 Generator_loss: 2.26425
[INFO] 2020-11-14 19:34:54 > Step: 20700 Progress: 10.3% Elapsed: 3:14:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.71746 Generator_loss: 2.14903
[INFO] 2020-11-14 19:35:45 > Step: 20800 Progress: 10.4% Elapsed: 3:15:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.51389 Generator_loss: 2.48629
[INFO] 2020-11-14 19:36:35 > Step: 20900 Progress: 10.4% Elapsed: 3:16:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.02658 Generator_loss: 2.51511
[INFO] 2020-11-14 19:37:26 > Step: 21000 Progress: 10.5% Elapsed: 3:17:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.56612 Generator_loss: 2.05249
[INFO] 2020-11-14 19:38:17 > Step: 21100 Progress: 10.5% Elapsed: 3:18:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.67139 Generator_loss: 2.60315
[INFO] 2020-11-14 19:39:07 > Step: 21200 Progress: 10.6% Elapsed: 3:18:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.42543 Generator_loss: 2.38336
[INFO] 2020-11-14 19:39:58 > Step: 21300 Progress: 10.7% Elapsed: 3:19:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.82003 Generator_loss: 1.91948
[INFO] 2020-11-14 19:40:49 > Step: 21400 Progress: 10.7% Elapsed: 3:20:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.79285 Generator_loss: 3.02381
[INFO] 2020-11-14 19:41:39 > Step: 21500 Progress: 10.8% Elapsed: 3:21:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.55924 Generator_loss: 2.03207
[INFO] 2020-11-14 19:42:30 > Step: 21600 Progress: 10.8% Elapsed: 3:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.84434 Generator_loss: 2.51795
[INFO] 2020-11-14 19:43:20 > Step: 21700 Progress: 10.8% Elapsed: 3:23:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.76449 Generator_loss: 2.45942
[INFO] 2020-11-14 19:44:11 > Step: 21800 Progress: 10.9% Elapsed: 3:23:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.91631 Generator_loss: 2.81699
[INFO] 2020-11-14 19:45:02 > Step: 21900 Progress: 10.9% Elapsed: 3:24:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.76194 Generator_loss: 1.85254
[INFO] 2020-11-14 19:45:52 > Step: 22000 Progress: 11.0% Elapsed: 3:25:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.67246 Generator_loss: 1.83341
[INFO] 2020-11-14 19:45:52 > Start Evaluation (22000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:47:47 > F_8 score (Step: 22000, Using test images): 0.9755022995236877
[INFO] 2020-11-14 19:47:47 > F_1/8 score (Step: 22000, Using test images): 0.981220773005244
[INFO] 2020-11-14 19:47:47 > FID score (Step: 22000, Using test moments): 15.515882444882436
[INFO] 2020-11-14 19:47:47 > Inception score (Step: 22000, 10000 generated images): 9.30398178100586
[INFO] 2020-11-14 19:47:47 > Best FID score (Step: 22000, Using test moments): 15.515882444882436
[INFO] 2020-11-14 19:47:49 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 19:48:40 > Step: 22100 Progress: 11.1% Elapsed: 3:28:27 temperature: 1.0 ada_p: No Discriminator_loss: 3.18777 Generator_loss: 2.83534
[INFO] 2020-11-14 19:49:30 > Step: 22200 Progress: 11.1% Elapsed: 3:29:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.74527 Generator_loss: 2.30774
[INFO] 2020-11-14 19:50:21 > Step: 22300 Progress: 11.2% Elapsed: 3:30:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.89715 Generator_loss: 2.63623
[INFO] 2020-11-14 19:51:12 > Step: 22400 Progress: 11.2% Elapsed: 3:30:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.57281 Generator_loss: 2.07073
[INFO] 2020-11-14 19:52:03 > Step: 22500 Progress: 11.2% Elapsed: 3:31:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.85458 Generator_loss: 2.31914
[INFO] 2020-11-14 19:52:53 > Step: 22600 Progress: 11.3% Elapsed: 3:32:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.85937 Generator_loss: 2.52946
[INFO] 2020-11-14 19:53:44 > Step: 22700 Progress: 11.3% Elapsed: 3:33:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.47702 Generator_loss: 2.86215
[INFO] 2020-11-14 19:54:34 > Step: 22800 Progress: 11.4% Elapsed: 3:34:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.76701 Generator_loss: 2.21557
[INFO] 2020-11-14 19:55:25 > Step: 22900 Progress: 11.5% Elapsed: 3:35:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.71138 Generator_loss: 2.34301
[INFO] 2020-11-14 19:56:16 > Step: 23000 Progress: 11.5% Elapsed: 3:36:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.57043 Generator_loss: 2.03485
[INFO] 2020-11-14 19:57:06 > Step: 23100 Progress: 11.6% Elapsed: 3:36:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.778 Generator_loss: 2.38673
[INFO] 2020-11-14 19:57:57 > Step: 23200 Progress: 11.6% Elapsed: 3:37:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.66228 Generator_loss: 1.77119
[INFO] 2020-11-14 19:58:48 > Step: 23300 Progress: 11.7% Elapsed: 3:38:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.81635 Generator_loss: 2.06176
[INFO] 2020-11-14 19:59:38 > Step: 23400 Progress: 11.7% Elapsed: 3:39:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.64398 Generator_loss: 2.04834
[INFO] 2020-11-14 20:00:29 > Step: 23500 Progress: 11.8% Elapsed: 3:40:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.55924 Generator_loss: 2.23709
[INFO] 2020-11-14 20:01:20 > Step: 23600 Progress: 11.8% Elapsed: 3:41:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.96455 Generator_loss: 2.25312
[INFO] 2020-11-14 20:02:11 > Step: 23700 Progress: 11.8% Elapsed: 3:41:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.73375 Generator_loss: 2.18078
[INFO] 2020-11-14 20:03:01 > Step: 23800 Progress: 11.9% Elapsed: 3:42:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.7692 Generator_loss: 2.26779
[INFO] 2020-11-14 20:03:52 > Step: 23900 Progress: 11.9% Elapsed: 3:43:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.84006 Generator_loss: 2.78997
[INFO] 2020-11-14 20:04:43 > Step: 24000 Progress: 12.0% Elapsed: 3:44:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.68718 Generator_loss: 1.70147
[INFO] 2020-11-14 20:04:43 > Start Evaluation (24000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:06:41 > F_8 score (Step: 24000, Using test images): 0.9813479892058053
[INFO] 2020-11-14 20:06:41 > F_1/8 score (Step: 24000, Using test images): 0.9843045192942771
[INFO] 2020-11-14 20:06:41 > FID score (Step: 24000, Using test moments): 14.517857787526566
[INFO] 2020-11-14 20:06:41 > Inception score (Step: 24000, 10000 generated images): 9.29773998260498
[INFO] 2020-11-14 20:06:41 > Best FID score (Step: 24000, Using test moments): 14.517857787526566
[INFO] 2020-11-14 20:06:42 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:07:33 > Step: 24100 Progress: 12.0% Elapsed: 3:47:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.87129 Generator_loss: 2.0388
[INFO] 2020-11-14 20:08:24 > Step: 24200 Progress: 12.1% Elapsed: 3:48:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.78675 Generator_loss: 2.0547
[INFO] 2020-11-14 20:09:15 > Step: 24300 Progress: 12.2% Elapsed: 3:49:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.57652 Generator_loss: 1.95268
[INFO] 2020-11-14 20:10:06 > Step: 24400 Progress: 12.2% Elapsed: 3:49:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.51187 Generator_loss: 2.45883
[INFO] 2020-11-14 20:10:56 > Step: 24500 Progress: 12.2% Elapsed: 3:50:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.75115 Generator_loss: 1.98417
[INFO] 2020-11-14 20:11:47 > Step: 24600 Progress: 12.3% Elapsed: 3:51:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.41972 Generator_loss: 2.37574
[INFO] 2020-11-14 20:12:37 > Step: 24700 Progress: 12.3% Elapsed: 3:52:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.04509 Generator_loss: 2.87178
[INFO] 2020-11-14 20:13:28 > Step: 24800 Progress: 12.4% Elapsed: 3:53:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.67852 Generator_loss: 2.18477
[INFO] 2020-11-14 20:14:19 > Step: 24900 Progress: 12.4% Elapsed: 3:54:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.7433 Generator_loss: 2.11937
[INFO] 2020-11-14 20:15:09 > Step: 25000 Progress: 12.5% Elapsed: 3:54:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.52691 Generator_loss: 2.44061
[INFO] 2020-11-14 20:16:00 > Step: 25100 Progress: 12.6% Elapsed: 3:55:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.59793 Generator_loss: 2.16307
[INFO] 2020-11-14 20:16:51 > Step: 25200 Progress: 12.6% Elapsed: 3:56:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.56428 Generator_loss: 1.92481
[INFO] 2020-11-14 20:17:41 > Step: 25300 Progress: 12.7% Elapsed: 3:57:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.97799 Generator_loss: 2.21912
[INFO] 2020-11-14 20:18:32 > Step: 25400 Progress: 12.7% Elapsed: 3:58:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.90621 Generator_loss: 2.18388
[INFO] 2020-11-14 20:19:23 > Step: 25500 Progress: 12.8% Elapsed: 3:59:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.85407 Generator_loss: 2.45363
[INFO] 2020-11-14 20:20:13 > Step: 25600 Progress: 12.8% Elapsed: 4:00:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.93913 Generator_loss: 1.6752
[INFO] 2020-11-14 20:21:04 > Step: 25700 Progress: 12.8% Elapsed: 4:00:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.73457 Generator_loss: 2.23876
[INFO] 2020-11-14 20:21:55 > Step: 25800 Progress: 12.9% Elapsed: 4:01:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.90378 Generator_loss: 2.02507
[INFO] 2020-11-14 20:22:45 > Step: 25900 Progress: 13.0% Elapsed: 4:02:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.51904 Generator_loss: 2.49564
[INFO] 2020-11-14 20:23:36 > Step: 26000 Progress: 13.0% Elapsed: 4:03:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.73757 Generator_loss: 2.59036
[INFO] 2020-11-14 20:23:36 > Start Evaluation (26000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:25:35 > F_8 score (Step: 26000, Using test images): 0.9788489370937978
[INFO] 2020-11-14 20:25:35 > F_1/8 score (Step: 26000, Using test images): 0.9835011563278856
[INFO] 2020-11-14 20:25:35 > FID score (Step: 26000, Using test moments): 13.608506082947088
[INFO] 2020-11-14 20:25:35 > Inception score (Step: 26000, 10000 generated images): 9.264071464538574
[INFO] 2020-11-14 20:25:35 > Best FID score (Step: 26000, Using test moments): 13.608506082947088
[INFO] 2020-11-14 20:25:36 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:26:27 > Step: 26100 Progress: 13.1% Elapsed: 4:06:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.52189 Generator_loss: 2.18429
[INFO] 2020-11-14 20:27:18 > Step: 26200 Progress: 13.1% Elapsed: 4:07:05 temperature: 1.0 ada_p: No Discriminator_loss: 3.04143 Generator_loss: 2.45187
[INFO] 2020-11-14 20:28:08 > Step: 26300 Progress: 13.2% Elapsed: 4:07:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.78013 Generator_loss: 2.50442
[INFO] 2020-11-14 20:28:59 > Step: 26400 Progress: 13.2% Elapsed: 4:08:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.77874 Generator_loss: 1.77113
[INFO] 2020-11-14 20:29:49 > Step: 26500 Progress: 13.2% Elapsed: 4:09:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.7003 Generator_loss: 1.97947
[INFO] 2020-11-14 20:30:40 > Step: 26600 Progress: 13.3% Elapsed: 4:10:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.87211 Generator_loss: 2.28224
[INFO] 2020-11-14 20:31:30 > Step: 26700 Progress: 13.4% Elapsed: 4:11:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.83613 Generator_loss: 2.78133
[INFO] 2020-11-14 20:32:21 > Step: 26800 Progress: 13.4% Elapsed: 4:12:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.77923 Generator_loss: 2.52308
[INFO] 2020-11-14 20:33:11 > Step: 26900 Progress: 13.5% Elapsed: 4:12:59 temperature: 1.0 ada_p: No Discriminator_loss: 3.00581 Generator_loss: 1.57428
[INFO] 2020-11-14 20:34:02 > Step: 27000 Progress: 13.5% Elapsed: 4:13:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.81692 Generator_loss: 2.01967
[INFO] 2020-11-14 20:34:53 > Step: 27100 Progress: 13.6% Elapsed: 4:14:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.76428 Generator_loss: 2.49256
[INFO] 2020-11-14 20:35:44 > Step: 27200 Progress: 13.6% Elapsed: 4:15:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.88167 Generator_loss: 2.12844
[INFO] 2020-11-14 20:36:34 > Step: 27300 Progress: 13.7% Elapsed: 4:16:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.5574 Generator_loss: 2.20396
[INFO] 2020-11-14 20:37:26 > Step: 27400 Progress: 13.7% Elapsed: 4:17:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.84469 Generator_loss: 1.99782
[INFO] 2020-11-14 20:38:17 > Step: 27500 Progress: 13.8% Elapsed: 4:18:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.74014 Generator_loss: 1.55217
[INFO] 2020-11-14 20:39:07 > Step: 27600 Progress: 13.8% Elapsed: 4:18:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.61441 Generator_loss: 2.35199
[INFO] 2020-11-14 20:39:58 > Step: 27700 Progress: 13.9% Elapsed: 4:19:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.83792 Generator_loss: 2.09759
[INFO] 2020-11-14 20:40:48 > Step: 27800 Progress: 13.9% Elapsed: 4:20:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.57484 Generator_loss: 2.14664
[INFO] 2020-11-14 20:41:39 > Step: 27900 Progress: 14.0% Elapsed: 4:21:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.59275 Generator_loss: 2.65618
[INFO] 2020-11-14 20:42:30 > Step: 28000 Progress: 14.0% Elapsed: 4:22:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.57683 Generator_loss: 2.90376
[INFO] 2020-11-14 20:42:30 > Start Evaluation (28000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:44:28 > F_8 score (Step: 28000, Using test images): 0.979612497013798
[INFO] 2020-11-14 20:44:28 > F_1/8 score (Step: 28000, Using test images): 0.9875440691079572
[INFO] 2020-11-14 20:44:28 > FID score (Step: 28000, Using test moments): 12.809775738672556
[INFO] 2020-11-14 20:44:28 > Inception score (Step: 28000, 10000 generated images): 9.279313087463379
[INFO] 2020-11-14 20:44:28 > Best FID score (Step: 28000, Using test moments): 12.809775738672556
[INFO] 2020-11-14 20:44:30 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 20:45:20 > Step: 28100 Progress: 14.1% Elapsed: 4:25:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.66359 Generator_loss: 1.62763
[INFO] 2020-11-14 20:46:11 > Step: 28200 Progress: 14.1% Elapsed: 4:25:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.74201 Generator_loss: 2.53933
[INFO] 2020-11-14 20:47:01 > Step: 28300 Progress: 14.1% Elapsed: 4:26:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.57624 Generator_loss: 2.49502
[INFO] 2020-11-14 20:47:52 > Step: 28400 Progress: 14.2% Elapsed: 4:27:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.66517 Generator_loss: 2.86398
[INFO] 2020-11-14 20:48:42 > Step: 28500 Progress: 14.2% Elapsed: 4:28:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.78555 Generator_loss: 2.65602
[INFO] 2020-11-14 20:49:34 > Step: 28600 Progress: 14.3% Elapsed: 4:29:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.80716 Generator_loss: 2.43988
[INFO] 2020-11-14 20:50:24 > Step: 28700 Progress: 14.3% Elapsed: 4:30:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.6821 Generator_loss: 2.48904
[INFO] 2020-11-14 20:51:15 > Step: 28800 Progress: 14.4% Elapsed: 4:31:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.80284 Generator_loss: 1.86577
[INFO] 2020-11-14 20:52:06 > Step: 28900 Progress: 14.4% Elapsed: 4:31:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.57512 Generator_loss: 1.77247
[INFO] 2020-11-14 20:52:56 > Step: 29000 Progress: 14.5% Elapsed: 4:32:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.71871 Generator_loss: 2.13531
[INFO] 2020-11-14 20:53:47 > Step: 29100 Progress: 14.5% Elapsed: 4:33:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.67063 Generator_loss: 1.72056
[INFO] 2020-11-14 20:54:37 > Step: 29200 Progress: 14.6% Elapsed: 4:34:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.69413 Generator_loss: 2.63329
[INFO] 2020-11-14 20:55:28 > Step: 29300 Progress: 14.6% Elapsed: 4:35:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.85907 Generator_loss: 1.74902
[INFO] 2020-11-14 20:56:20 > Step: 29400 Progress: 14.7% Elapsed: 4:36:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.96997 Generator_loss: 1.81316
[INFO] 2020-11-14 20:57:10 > Step: 29500 Progress: 14.8% Elapsed: 4:36:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.98044 Generator_loss: 2.99978
[INFO] 2020-11-14 20:58:01 > Step: 29600 Progress: 14.8% Elapsed: 4:37:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.69624 Generator_loss: 2.34867
[INFO] 2020-11-14 20:58:52 > Step: 29700 Progress: 14.8% Elapsed: 4:38:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.85385 Generator_loss: 2.42188
[INFO] 2020-11-14 20:59:42 > Step: 29800 Progress: 14.9% Elapsed: 4:39:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.74881 Generator_loss: 2.1834
[INFO] 2020-11-14 21:00:33 > Step: 29900 Progress: 14.9% Elapsed: 4:40:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.81338 Generator_loss: 2.71021
[INFO] 2020-11-14 21:01:24 > Step: 30000 Progress: 15.0% Elapsed: 4:41:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.52719 Generator_loss: 2.94392
[INFO] 2020-11-14 21:01:24 > Start Evaluation (30000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:03:22 > F_8 score (Step: 30000, Using test images): 0.9781501121368573
[INFO] 2020-11-14 21:03:22 > F_1/8 score (Step: 30000, Using test images): 0.9872780625139014
[INFO] 2020-11-14 21:03:22 > FID score (Step: 30000, Using test moments): 12.560368353622948
[INFO] 2020-11-14 21:03:22 > Inception score (Step: 30000, 10000 generated images): 9.376006126403809
[INFO] 2020-11-14 21:03:22 > Best FID score (Step: 30000, Using test moments): 12.560368353622948
[INFO] 2020-11-14 21:03:23 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:04:13 > Step: 30100 Progress: 15.0% Elapsed: 4:44:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.74018 Generator_loss: 1.98083
[INFO] 2020-11-14 21:05:04 > Step: 30200 Progress: 15.1% Elapsed: 4:44:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.57531 Generator_loss: 2.46713
[INFO] 2020-11-14 21:05:54 > Step: 30300 Progress: 15.2% Elapsed: 4:45:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.58174 Generator_loss: 2.18955
[INFO] 2020-11-14 21:06:45 > Step: 30400 Progress: 15.2% Elapsed: 4:46:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.72037 Generator_loss: 2.598
[INFO] 2020-11-14 21:07:36 > Step: 30500 Progress: 15.2% Elapsed: 4:47:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.72042 Generator_loss: 2.24633
[INFO] 2020-11-14 21:08:26 > Step: 30600 Progress: 15.3% Elapsed: 4:48:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.76556 Generator_loss: 1.72128
[INFO] 2020-11-14 21:09:17 > Step: 30700 Progress: 15.3% Elapsed: 4:49:04 temperature: 1.0 ada_p: No Discriminator_loss: 3.01913 Generator_loss: 1.89917
[INFO] 2020-11-14 21:10:08 > Step: 30800 Progress: 15.4% Elapsed: 4:49:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.71553 Generator_loss: 2.25841
[INFO] 2020-11-14 21:10:58 > Step: 30900 Progress: 15.4% Elapsed: 4:50:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.95711 Generator_loss: 1.94984
[INFO] 2020-11-14 21:11:50 > Step: 31000 Progress: 15.5% Elapsed: 4:51:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.65691 Generator_loss: 2.07061
[INFO] 2020-11-14 21:12:40 > Step: 31100 Progress: 15.6% Elapsed: 4:52:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.92767 Generator_loss: 2.14814
[INFO] 2020-11-14 21:13:31 > Step: 31200 Progress: 15.6% Elapsed: 4:53:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.67624 Generator_loss: 2.29715
[INFO] 2020-11-14 21:14:22 > Step: 31300 Progress: 15.7% Elapsed: 4:54:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.50181 Generator_loss: 2.42139
[INFO] 2020-11-14 21:15:14 > Step: 31400 Progress: 15.7% Elapsed: 4:55:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.76935 Generator_loss: 1.86631
[INFO] 2020-11-14 21:16:04 > Step: 31500 Progress: 15.8% Elapsed: 4:55:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.99742 Generator_loss: 2.42551
[INFO] 2020-11-14 21:16:56 > Step: 31600 Progress: 15.8% Elapsed: 4:56:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.72063 Generator_loss: 2.07415
[INFO] 2020-11-14 21:17:46 > Step: 31700 Progress: 15.8% Elapsed: 4:57:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.75255 Generator_loss: 2.5988
[INFO] 2020-11-14 21:18:37 > Step: 31800 Progress: 15.9% Elapsed: 4:58:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.71797 Generator_loss: 2.09493
[INFO] 2020-11-14 21:19:28 > Step: 31900 Progress: 16.0% Elapsed: 4:59:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.87715 Generator_loss: 2.1793
[INFO] 2020-11-14 21:20:19 > Step: 32000 Progress: 16.0% Elapsed: 5:00:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.55107 Generator_loss: 2.68972
[INFO] 2020-11-14 21:20:19 > Start Evaluation (32000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:22:18 > F_8 score (Step: 32000, Using test images): 0.9881566229759398
[INFO] 2020-11-14 21:22:18 > F_1/8 score (Step: 32000, Using test images): 0.9894964311342866
[INFO] 2020-11-14 21:22:18 > FID score (Step: 32000, Using test moments): 12.085243252956502
[INFO] 2020-11-14 21:22:18 > Inception score (Step: 32000, 10000 generated images): 9.328625679016113
[INFO] 2020-11-14 21:22:18 > Best FID score (Step: 32000, Using test moments): 12.085243252956502
[INFO] 2020-11-14 21:22:19 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:23:10 > Step: 32100 Progress: 16.1% Elapsed: 5:02:58 temperature: 1.0 ada_p: No Discriminator_loss: 3.21794 Generator_loss: 2.52823
[INFO] 2020-11-14 21:24:01 > Step: 32200 Progress: 16.1% Elapsed: 5:03:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.7177 Generator_loss: 2.04739
[INFO] 2020-11-14 21:24:52 > Step: 32300 Progress: 16.2% Elapsed: 5:04:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.54137 Generator_loss: 2.77176
[INFO] 2020-11-14 21:25:42 > Step: 32400 Progress: 16.2% Elapsed: 5:05:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.60424 Generator_loss: 1.75332
[INFO] 2020-11-14 21:26:33 > Step: 32500 Progress: 16.2% Elapsed: 5:06:21 temperature: 1.0 ada_p: No Discriminator_loss: 3.02693 Generator_loss: 2.22121
[INFO] 2020-11-14 21:27:23 > Step: 32600 Progress: 16.3% Elapsed: 5:07:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.36903 Generator_loss: 2.02233
[INFO] 2020-11-14 21:28:15 > Step: 32700 Progress: 16.4% Elapsed: 5:08:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.68133 Generator_loss: 2.36379
[INFO] 2020-11-14 21:29:05 > Step: 32800 Progress: 16.4% Elapsed: 5:08:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.6458 Generator_loss: 2.0507
[INFO] 2020-11-14 21:29:56 > Step: 32900 Progress: 16.4% Elapsed: 5:09:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.72993 Generator_loss: 2.19814
[INFO] 2020-11-14 21:30:47 > Step: 33000 Progress: 16.5% Elapsed: 5:10:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.71876 Generator_loss: 2.33878
[INFO] 2020-11-14 21:31:37 > Step: 33100 Progress: 16.6% Elapsed: 5:11:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.94319 Generator_loss: 1.84665
[INFO] 2020-11-14 21:32:28 > Step: 33200 Progress: 16.6% Elapsed: 5:12:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.85231 Generator_loss: 2.70331
[INFO] 2020-11-14 21:33:19 > Step: 33300 Progress: 16.7% Elapsed: 5:13:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.96331 Generator_loss: 2.13055
[INFO] 2020-11-14 21:34:09 > Step: 33400 Progress: 16.7% Elapsed: 5:13:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.77527 Generator_loss: 1.96423
[INFO] 2020-11-14 21:35:00 > Step: 33500 Progress: 16.8% Elapsed: 5:14:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.6341 Generator_loss: 2.62339
[INFO] 2020-11-14 21:35:51 > Step: 33600 Progress: 16.8% Elapsed: 5:15:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.96159 Generator_loss: 2.07255
[INFO] 2020-11-14 21:36:41 > Step: 33700 Progress: 16.9% Elapsed: 5:16:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.7379 Generator_loss: 2.22499
[INFO] 2020-11-14 21:37:32 > Step: 33800 Progress: 16.9% Elapsed: 5:17:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.80925 Generator_loss: 2.15604
[INFO] 2020-11-14 21:38:23 > Step: 33900 Progress: 17.0% Elapsed: 5:18:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.68368 Generator_loss: 2.24019
[INFO] 2020-11-14 21:39:13 > Step: 34000 Progress: 17.0% Elapsed: 5:19:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.6754 Generator_loss: 2.22846
[INFO] 2020-11-14 21:39:13 > Start Evaluation (34000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:41:10 > F_8 score (Step: 34000, Using test images): 0.9863454008377114
[INFO] 2020-11-14 21:41:10 > F_1/8 score (Step: 34000, Using test images): 0.9911535980039834
[INFO] 2020-11-14 21:41:10 > FID score (Step: 34000, Using test moments): 11.693170792716387
[INFO] 2020-11-14 21:41:10 > Inception score (Step: 34000, 10000 generated images): 9.461735725402832
[INFO] 2020-11-14 21:41:10 > Best FID score (Step: 34000, Using test moments): 11.693170792716387
[INFO] 2020-11-14 21:41:11 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 21:42:02 > Step: 34100 Progress: 17.1% Elapsed: 5:21:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.87153 Generator_loss: 2.23138
[INFO] 2020-11-14 21:42:52 > Step: 34200 Progress: 17.1% Elapsed: 5:22:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.73951 Generator_loss: 2.09108
[INFO] 2020-11-14 21:43:43 > Step: 34300 Progress: 17.2% Elapsed: 5:23:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.74799 Generator_loss: 2.38409
[INFO] 2020-11-14 21:44:34 > Step: 34400 Progress: 17.2% Elapsed: 5:24:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.72876 Generator_loss: 1.84858
[INFO] 2020-11-14 21:45:24 > Step: 34500 Progress: 17.2% Elapsed: 5:25:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.82628 Generator_loss: 2.10736
[INFO] 2020-11-14 21:46:15 > Step: 34600 Progress: 17.3% Elapsed: 5:26:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.65192 Generator_loss: 2.21381
[INFO] 2020-11-14 21:47:06 > Step: 34700 Progress: 17.3% Elapsed: 5:26:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.70766 Generator_loss: 2.59659
[INFO] 2020-11-14 21:47:56 > Step: 34800 Progress: 17.4% Elapsed: 5:27:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.46987 Generator_loss: 2.4569
[INFO] 2020-11-14 21:48:47 > Step: 34900 Progress: 17.4% Elapsed: 5:28:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.55513 Generator_loss: 2.39213
[INFO] 2020-11-14 21:49:38 > Step: 35000 Progress: 17.5% Elapsed: 5:29:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.87496 Generator_loss: 2.02358
[INFO] 2020-11-14 21:50:28 > Step: 35100 Progress: 17.5% Elapsed: 5:30:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.94416 Generator_loss: 2.58302
[INFO] 2020-11-14 21:51:19 > Step: 35200 Progress: 17.6% Elapsed: 5:31:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.6127 Generator_loss: 2.28272
[INFO] 2020-11-14 21:52:09 > Step: 35300 Progress: 17.6% Elapsed: 5:31:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.60333 Generator_loss: 1.82078
[INFO] 2020-11-14 21:53:00 > Step: 35400 Progress: 17.7% Elapsed: 5:32:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.62327 Generator_loss: 2.12831
[INFO] 2020-11-14 21:53:51 > Step: 35500 Progress: 17.8% Elapsed: 5:33:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.77859 Generator_loss: 2.35158
[INFO] 2020-11-14 21:54:42 > Step: 35600 Progress: 17.8% Elapsed: 5:34:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.73717 Generator_loss: 1.5861
[INFO] 2020-11-14 21:55:32 > Step: 35700 Progress: 17.8% Elapsed: 5:35:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.66823 Generator_loss: 1.98114
[INFO] 2020-11-14 21:56:24 > Step: 35800 Progress: 17.9% Elapsed: 5:36:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.94532 Generator_loss: 1.5475
[INFO] 2020-11-14 21:57:14 > Step: 35900 Progress: 17.9% Elapsed: 5:37:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.78468 Generator_loss: 1.96384
[INFO] 2020-11-14 21:58:05 > Step: 36000 Progress: 18.0% Elapsed: 5:37:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.85324 Generator_loss: 2.17076
[INFO] 2020-11-14 21:58:05 > Start Evaluation (36000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:00:03 > F_8 score (Step: 36000, Using test images): 0.982760774041164
[INFO] 2020-11-14 22:00:03 > F_1/8 score (Step: 36000, Using test images): 0.9901676365796338
[INFO] 2020-11-14 22:00:03 > FID score (Step: 36000, Using test moments): 11.286706110368868
[INFO] 2020-11-14 22:00:03 > Inception score (Step: 36000, 10000 generated images): 9.543341636657715
[INFO] 2020-11-14 22:00:03 > Best FID score (Step: 36000, Using test moments): 11.286706110368868
[INFO] 2020-11-14 22:00:04 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:00:54 > Step: 36100 Progress: 18.1% Elapsed: 5:40:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.78941 Generator_loss: 1.86324
[INFO] 2020-11-14 22:01:45 > Step: 36200 Progress: 18.1% Elapsed: 5:41:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.86422 Generator_loss: 2.03972
[INFO] 2020-11-14 22:02:37 > Step: 36300 Progress: 18.1% Elapsed: 5:42:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.80022 Generator_loss: 1.76803
[INFO] 2020-11-14 22:03:27 > Step: 36400 Progress: 18.2% Elapsed: 5:43:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.84697 Generator_loss: 2.25478
[INFO] 2020-11-14 22:04:17 > Step: 36500 Progress: 18.2% Elapsed: 5:44:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.68136 Generator_loss: 2.75979
[INFO] 2020-11-14 22:05:08 > Step: 36600 Progress: 18.3% Elapsed: 5:44:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.60431 Generator_loss: 2.25959
[INFO] 2020-11-14 22:05:59 > Step: 36700 Progress: 18.4% Elapsed: 5:45:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.83794 Generator_loss: 1.91734
[INFO] 2020-11-14 22:06:50 > Step: 36800 Progress: 18.4% Elapsed: 5:46:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.48804 Generator_loss: 1.98853
[INFO] 2020-11-14 22:07:40 > Step: 36900 Progress: 18.4% Elapsed: 5:47:28 temperature: 1.0 ada_p: No Discriminator_loss: 3.02749 Generator_loss: 2.40612
[INFO] 2020-11-14 22:08:31 > Step: 37000 Progress: 18.5% Elapsed: 5:48:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.7468 Generator_loss: 2.03803
[INFO] 2020-11-14 22:09:21 > Step: 37100 Progress: 18.6% Elapsed: 5:49:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.78086 Generator_loss: 1.86146
[INFO] 2020-11-14 22:10:12 > Step: 37200 Progress: 18.6% Elapsed: 5:50:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.67585 Generator_loss: 2.00497
[INFO] 2020-11-14 22:11:03 > Step: 37300 Progress: 18.6% Elapsed: 5:50:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.70937 Generator_loss: 1.97631
[INFO] 2020-11-14 22:11:54 > Step: 37400 Progress: 18.7% Elapsed: 5:51:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.86003 Generator_loss: 1.48939
[INFO] 2020-11-14 22:12:44 > Step: 37500 Progress: 18.8% Elapsed: 5:52:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.60248 Generator_loss: 1.93898
[INFO] 2020-11-14 22:13:35 > Step: 37600 Progress: 18.8% Elapsed: 5:53:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.65993 Generator_loss: 2.32788
[INFO] 2020-11-14 22:14:26 > Step: 37700 Progress: 18.9% Elapsed: 5:54:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.56473 Generator_loss: 2.51029
[INFO] 2020-11-14 22:15:16 > Step: 37800 Progress: 18.9% Elapsed: 5:55:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.66491 Generator_loss: 2.31812
[INFO] 2020-11-14 22:16:07 > Step: 37900 Progress: 18.9% Elapsed: 5:55:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.60157 Generator_loss: 2.54413
[INFO] 2020-11-14 22:16:58 > Step: 38000 Progress: 19.0% Elapsed: 5:56:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.52048 Generator_loss: 2.01216
[INFO] 2020-11-14 22:16:58 > Start Evaluation (38000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:18:56 > F_8 score (Step: 38000, Using test images): 0.9861005589954116
[INFO] 2020-11-14 22:18:56 > F_1/8 score (Step: 38000, Using test images): 0.9921596977020295
[INFO] 2020-11-14 22:18:56 > FID score (Step: 38000, Using test moments): 11.063419753330493
[INFO] 2020-11-14 22:18:56 > Inception score (Step: 38000, 10000 generated images): 9.570047378540039
[INFO] 2020-11-14 22:18:56 > Best FID score (Step: 38000, Using test moments): 11.063419753330493
[INFO] 2020-11-14 22:18:57 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:19:47 > Step: 38100 Progress: 19.1% Elapsed: 5:59:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.60291 Generator_loss: 1.92529
[INFO] 2020-11-14 22:20:38 > Step: 38200 Progress: 19.1% Elapsed: 6:00:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.75144 Generator_loss: 1.70788
[INFO] 2020-11-14 22:21:29 > Step: 38300 Progress: 19.1% Elapsed: 6:01:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.67055 Generator_loss: 2.59063
[INFO] 2020-11-14 22:22:19 > Step: 38400 Progress: 19.2% Elapsed: 6:02:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.7972 Generator_loss: 1.7527
[INFO] 2020-11-14 22:23:10 > Step: 38500 Progress: 19.2% Elapsed: 6:02:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.73456 Generator_loss: 2.35737
[INFO] 2020-11-14 22:24:01 > Step: 38600 Progress: 19.3% Elapsed: 6:03:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.62586 Generator_loss: 1.89002
[INFO] 2020-11-14 22:24:52 > Step: 38700 Progress: 19.4% Elapsed: 6:04:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.61482 Generator_loss: 3.10109
[INFO] 2020-11-14 22:25:42 > Step: 38800 Progress: 19.4% Elapsed: 6:05:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.63301 Generator_loss: 1.95789
[INFO] 2020-11-14 22:26:34 > Step: 38900 Progress: 19.4% Elapsed: 6:06:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.67069 Generator_loss: 2.30309
[INFO] 2020-11-14 22:27:24 > Step: 39000 Progress: 19.5% Elapsed: 6:07:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.76065 Generator_loss: 2.09142
[INFO] 2020-11-14 22:28:15 > Step: 39100 Progress: 19.6% Elapsed: 6:08:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.84306 Generator_loss: 2.51975
[INFO] 2020-11-14 22:29:05 > Step: 39200 Progress: 19.6% Elapsed: 6:08:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.82449 Generator_loss: 2.09492
[INFO] 2020-11-14 22:29:56 > Step: 39300 Progress: 19.7% Elapsed: 6:09:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.63397 Generator_loss: 1.82648
[INFO] 2020-11-14 22:30:47 > Step: 39400 Progress: 19.7% Elapsed: 6:10:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.71357 Generator_loss: 2.37033
[INFO] 2020-11-14 22:31:37 > Step: 39500 Progress: 19.8% Elapsed: 6:11:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.77522 Generator_loss: 1.95012
[INFO] 2020-11-14 22:32:28 > Step: 39600 Progress: 19.8% Elapsed: 6:12:16 temperature: 1.0 ada_p: No Discriminator_loss: 2.78881 Generator_loss: 2.15193
[INFO] 2020-11-14 22:33:19 > Step: 39700 Progress: 19.9% Elapsed: 6:13:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.77316 Generator_loss: 1.89632
[INFO] 2020-11-14 22:34:10 > Step: 39800 Progress: 19.9% Elapsed: 6:13:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.78456 Generator_loss: 1.99293
[INFO] 2020-11-14 22:35:01 > Step: 39900 Progress: 20.0% Elapsed: 6:14:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.63552 Generator_loss: 2.19316
[INFO] 2020-11-14 22:35:52 > Step: 40000 Progress: 20.0% Elapsed: 6:15:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.98146 Generator_loss: 2.14706
[INFO] 2020-11-14 22:35:52 > Start Evaluation (40000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:37:50 > F_8 score (Step: 40000, Using test images): 0.9802306345199784
[INFO] 2020-11-14 22:37:50 > F_1/8 score (Step: 40000, Using test images): 0.9921400389481624
[INFO] 2020-11-14 22:37:50 > FID score (Step: 40000, Using test moments): 10.75069456015251
[INFO] 2020-11-14 22:37:50 > Inception score (Step: 40000, 10000 generated images): 9.604605674743652
[INFO] 2020-11-14 22:37:50 > Best FID score (Step: 40000, Using test moments): 10.75069456015251
[INFO] 2020-11-14 22:37:52 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:38:42 > Step: 40100 Progress: 20.1% Elapsed: 6:18:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.6026 Generator_loss: 2.32866
[INFO] 2020-11-14 22:39:33 > Step: 40200 Progress: 20.1% Elapsed: 6:19:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.44107 Generator_loss: 2.14952
[INFO] 2020-11-14 22:40:23 > Step: 40300 Progress: 20.2% Elapsed: 6:20:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.59935 Generator_loss: 2.69711
[INFO] 2020-11-14 22:41:14 > Step: 40400 Progress: 20.2% Elapsed: 6:21:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.81107 Generator_loss: 2.338
[INFO] 2020-11-14 22:42:04 > Step: 40500 Progress: 20.2% Elapsed: 6:21:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.67884 Generator_loss: 1.5247
[INFO] 2020-11-14 22:42:55 > Step: 40600 Progress: 20.3% Elapsed: 6:22:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.82553 Generator_loss: 2.66436
[INFO] 2020-11-14 22:43:45 > Step: 40700 Progress: 20.3% Elapsed: 6:23:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.97956 Generator_loss: 2.48811
[INFO] 2020-11-14 22:44:36 > Step: 40800 Progress: 20.4% Elapsed: 6:24:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.69661 Generator_loss: 2.60879
[INFO] 2020-11-14 22:45:27 > Step: 40900 Progress: 20.4% Elapsed: 6:25:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.93249 Generator_loss: 2.65878
[INFO] 2020-11-14 22:46:18 > Step: 41000 Progress: 20.5% Elapsed: 6:26:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.79291 Generator_loss: 2.8507
[INFO] 2020-11-14 22:47:09 > Step: 41100 Progress: 20.5% Elapsed: 6:26:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.72387 Generator_loss: 2.12256
[INFO] 2020-11-14 22:47:59 > Step: 41200 Progress: 20.6% Elapsed: 6:27:46 temperature: 1.0 ada_p: No Discriminator_loss: 3.10394 Generator_loss: 3.08367
[INFO] 2020-11-14 22:48:50 > Step: 41300 Progress: 20.6% Elapsed: 6:28:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.82266 Generator_loss: 2.04127
[INFO] 2020-11-14 22:49:41 > Step: 41400 Progress: 20.7% Elapsed: 6:29:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.79283 Generator_loss: 2.78006
[INFO] 2020-11-14 22:50:31 > Step: 41500 Progress: 20.8% Elapsed: 6:30:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.52301 Generator_loss: 2.30128
[INFO] 2020-11-14 22:51:22 > Step: 41600 Progress: 20.8% Elapsed: 6:31:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.79363 Generator_loss: 2.22899
[INFO] 2020-11-14 22:52:13 > Step: 41700 Progress: 20.8% Elapsed: 6:32:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.94745 Generator_loss: 2.42029
[INFO] 2020-11-14 22:53:04 > Step: 41800 Progress: 20.9% Elapsed: 6:32:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.8566 Generator_loss: 1.48814
[INFO] 2020-11-14 22:53:54 > Step: 41900 Progress: 20.9% Elapsed: 6:33:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.9098 Generator_loss: 2.23734
[INFO] 2020-11-14 22:54:45 > Step: 42000 Progress: 21.0% Elapsed: 6:34:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.91713 Generator_loss: 1.8123
[INFO] 2020-11-14 22:54:45 > Start Evaluation (42000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:56:42 > F_8 score (Step: 42000, Using test images): 0.985069106409864
[INFO] 2020-11-14 22:56:42 > F_1/8 score (Step: 42000, Using test images): 0.9917467068581374
[INFO] 2020-11-14 22:56:42 > FID score (Step: 42000, Using test moments): 10.66527193745361
[INFO] 2020-11-14 22:56:42 > Inception score (Step: 42000, 10000 generated images): 9.459766387939453
[INFO] 2020-11-14 22:56:42 > Best FID score (Step: 42000, Using test moments): 10.66527193745361
[INFO] 2020-11-14 22:56:44 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 22:57:35 > Step: 42100 Progress: 21.1% Elapsed: 6:37:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.72961 Generator_loss: 2.52012
[INFO] 2020-11-14 22:58:25 > Step: 42200 Progress: 21.1% Elapsed: 6:38:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.81506 Generator_loss: 1.98863
[INFO] 2020-11-14 22:59:16 > Step: 42300 Progress: 21.1% Elapsed: 6:39:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.6507 Generator_loss: 2.08118
[INFO] 2020-11-14 23:00:07 > Step: 42400 Progress: 21.2% Elapsed: 6:39:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.95599 Generator_loss: 2.06514
[INFO] 2020-11-14 23:00:57 > Step: 42500 Progress: 21.2% Elapsed: 6:40:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.45228 Generator_loss: 1.81272
[INFO] 2020-11-14 23:01:48 > Step: 42600 Progress: 21.3% Elapsed: 6:41:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.92361 Generator_loss: 1.8298
[INFO] 2020-11-14 23:02:39 > Step: 42700 Progress: 21.3% Elapsed: 6:42:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.92782 Generator_loss: 2.83087
[INFO] 2020-11-14 23:03:29 > Step: 42800 Progress: 21.4% Elapsed: 6:43:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.66605 Generator_loss: 2.04584
[INFO] 2020-11-14 23:04:20 > Step: 42900 Progress: 21.4% Elapsed: 6:44:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.72479 Generator_loss: 2.37201
[INFO] 2020-11-14 23:05:11 > Step: 43000 Progress: 21.5% Elapsed: 6:44:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.6868 Generator_loss: 2.34643
[INFO] 2020-11-14 23:06:01 > Step: 43100 Progress: 21.6% Elapsed: 6:45:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.70512 Generator_loss: 2.11949
[INFO] 2020-11-14 23:06:52 > Step: 43200 Progress: 21.6% Elapsed: 6:46:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.84248 Generator_loss: 2.1319
[INFO] 2020-11-14 23:07:43 > Step: 43300 Progress: 21.6% Elapsed: 6:47:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.76352 Generator_loss: 1.44472
[INFO] 2020-11-14 23:08:33 > Step: 43400 Progress: 21.7% Elapsed: 6:48:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.7021 Generator_loss: 2.23842
[INFO] 2020-11-14 23:09:24 > Step: 43500 Progress: 21.8% Elapsed: 6:49:12 temperature: 1.0 ada_p: No Discriminator_loss: 3.00385 Generator_loss: 2.1513
[INFO] 2020-11-14 23:10:15 > Step: 43600 Progress: 21.8% Elapsed: 6:50:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.69294 Generator_loss: 2.42663
[INFO] 2020-11-14 23:11:05 > Step: 43700 Progress: 21.9% Elapsed: 6:50:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.72726 Generator_loss: 2.48422
[INFO] 2020-11-14 23:11:56 > Step: 43800 Progress: 21.9% Elapsed: 6:51:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.81234 Generator_loss: 2.75017
[INFO] 2020-11-14 23:12:48 > Step: 43900 Progress: 21.9% Elapsed: 6:52:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.68073 Generator_loss: 2.12566
[INFO] 2020-11-14 23:13:38 > Step: 44000 Progress: 22.0% Elapsed: 6:53:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.56369 Generator_loss: 1.98637
[INFO] 2020-11-14 23:13:38 > Start Evaluation (44000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:15:35 > F_8 score (Step: 44000, Using test images): 0.9892388424588939
[INFO] 2020-11-14 23:15:35 > F_1/8 score (Step: 44000, Using test images): 0.9905931760063819
[INFO] 2020-11-14 23:15:35 > FID score (Step: 44000, Using test moments): 10.492333174240457
[INFO] 2020-11-14 23:15:35 > Inception score (Step: 44000, 10000 generated images): 9.586941719055176
[INFO] 2020-11-14 23:15:35 > Best FID score (Step: 44000, Using test moments): 10.492333174240457
[INFO] 2020-11-14 23:15:36 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:16:27 > Step: 44100 Progress: 22.1% Elapsed: 6:56:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.78941 Generator_loss: 2.61456
[INFO] 2020-11-14 23:17:18 > Step: 44200 Progress: 22.1% Elapsed: 6:57:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.73296 Generator_loss: 2.01685
[INFO] 2020-11-14 23:18:08 > Step: 44300 Progress: 22.1% Elapsed: 6:57:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.61782 Generator_loss: 2.5015
[INFO] 2020-11-14 23:19:00 > Step: 44400 Progress: 22.2% Elapsed: 6:58:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.79528 Generator_loss: 1.45071
[INFO] 2020-11-14 23:19:50 > Step: 44500 Progress: 22.2% Elapsed: 6:59:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.84048 Generator_loss: 2.39635
[INFO] 2020-11-14 23:20:41 > Step: 44600 Progress: 22.3% Elapsed: 7:00:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.73882 Generator_loss: 2.31607
[INFO] 2020-11-14 23:21:32 > Step: 44700 Progress: 22.4% Elapsed: 7:01:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.77719 Generator_loss: 2.24443
[INFO] 2020-11-14 23:22:22 > Step: 44800 Progress: 22.4% Elapsed: 7:02:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.68149 Generator_loss: 2.21332
[INFO] 2020-11-14 23:23:13 > Step: 44900 Progress: 22.4% Elapsed: 7:03:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.51608 Generator_loss: 1.96265
[INFO] 2020-11-14 23:24:04 > Step: 45000 Progress: 22.5% Elapsed: 7:03:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.51197 Generator_loss: 1.84265
[INFO] 2020-11-14 23:24:55 > Step: 45100 Progress: 22.6% Elapsed: 7:04:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.66295 Generator_loss: 1.67862
[INFO] 2020-11-14 23:25:45 > Step: 45200 Progress: 22.6% Elapsed: 7:05:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.45911 Generator_loss: 3.30849
[INFO] 2020-11-14 23:26:36 > Step: 45300 Progress: 22.7% Elapsed: 7:06:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.40861 Generator_loss: 2.28759
[INFO] 2020-11-14 23:27:26 > Step: 45400 Progress: 22.7% Elapsed: 7:07:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.87271 Generator_loss: 1.81068
[INFO] 2020-11-14 23:28:17 > Step: 45500 Progress: 22.8% Elapsed: 7:08:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.55867 Generator_loss: 1.92446
[INFO] 2020-11-14 23:29:07 > Step: 45600 Progress: 22.8% Elapsed: 7:08:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.69671 Generator_loss: 2.47202
[INFO] 2020-11-14 23:29:58 > Step: 45700 Progress: 22.9% Elapsed: 7:09:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.75029 Generator_loss: 1.63083
[INFO] 2020-11-14 23:30:49 > Step: 45800 Progress: 22.9% Elapsed: 7:10:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.54 Generator_loss: 2.43512
[INFO] 2020-11-14 23:31:38 > Step: 45900 Progress: 22.9% Elapsed: 7:11:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.66753 Generator_loss: 1.86891
[INFO] 2020-11-14 23:32:29 > Step: 46000 Progress: 23.0% Elapsed: 7:12:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.66442 Generator_loss: 2.96066
[INFO] 2020-11-14 23:32:29 > Start Evaluation (46000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:34:25 > F_8 score (Step: 46000, Using test images): 0.9862709518807423
[INFO] 2020-11-14 23:34:25 > F_1/8 score (Step: 46000, Using test images): 0.9930007364719723
[INFO] 2020-11-14 23:34:25 > FID score (Step: 46000, Using test moments): 10.141991967553452
[INFO] 2020-11-14 23:34:25 > Inception score (Step: 46000, 10000 generated images): 9.648741722106934
[INFO] 2020-11-14 23:34:25 > Best FID score (Step: 46000, Using test moments): 10.141991967553452
[INFO] 2020-11-14 23:34:26 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:35:17 > Step: 46100 Progress: 23.1% Elapsed: 7:15:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.72859 Generator_loss: 3.28416
[INFO] 2020-11-14 23:36:07 > Step: 46200 Progress: 23.1% Elapsed: 7:15:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.59901 Generator_loss: 2.37331
[INFO] 2020-11-14 23:36:58 > Step: 46300 Progress: 23.2% Elapsed: 7:16:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.69068 Generator_loss: 2.26771
[INFO] 2020-11-14 23:37:49 > Step: 46400 Progress: 23.2% Elapsed: 7:17:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.75829 Generator_loss: 2.18063
[INFO] 2020-11-14 23:38:40 > Step: 46500 Progress: 23.2% Elapsed: 7:18:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.66772 Generator_loss: 2.06005
[INFO] 2020-11-14 23:39:31 > Step: 46600 Progress: 23.3% Elapsed: 7:19:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.73032 Generator_loss: 2.1214
[INFO] 2020-11-14 23:40:22 > Step: 46700 Progress: 23.4% Elapsed: 7:20:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.75398 Generator_loss: 1.6972
[INFO] 2020-11-14 23:41:13 > Step: 46800 Progress: 23.4% Elapsed: 7:21:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.66737 Generator_loss: 2.58846
[INFO] 2020-11-14 23:42:04 > Step: 46900 Progress: 23.4% Elapsed: 7:21:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.80959 Generator_loss: 1.98154
[INFO] 2020-11-14 23:42:55 > Step: 47000 Progress: 23.5% Elapsed: 7:22:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.82447 Generator_loss: 2.21063
[INFO] 2020-11-14 23:43:46 > Step: 47100 Progress: 23.5% Elapsed: 7:23:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.82369 Generator_loss: 1.52084
[INFO] 2020-11-14 23:44:37 > Step: 47200 Progress: 23.6% Elapsed: 7:24:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.06796 Generator_loss: 2.85935
[INFO] 2020-11-14 23:45:27 > Step: 47300 Progress: 23.6% Elapsed: 7:25:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.6046 Generator_loss: 2.26802
[INFO] 2020-11-14 23:46:18 > Step: 47400 Progress: 23.7% Elapsed: 7:26:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.81496 Generator_loss: 1.61118
[INFO] 2020-11-14 23:47:09 > Step: 47500 Progress: 23.8% Elapsed: 7:26:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.8756 Generator_loss: 1.85182
[INFO] 2020-11-14 23:48:00 > Step: 47600 Progress: 23.8% Elapsed: 7:27:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.43669 Generator_loss: 1.8237
[INFO] 2020-11-14 23:48:51 > Step: 47700 Progress: 23.8% Elapsed: 7:28:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.76033 Generator_loss: 2.63321
[INFO] 2020-11-14 23:49:42 > Step: 47800 Progress: 23.9% Elapsed: 7:29:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.6773 Generator_loss: 2.96189
[INFO] 2020-11-14 23:50:32 > Step: 47900 Progress: 23.9% Elapsed: 7:30:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.77477 Generator_loss: 1.74143
[INFO] 2020-11-14 23:51:23 > Step: 48000 Progress: 24.0% Elapsed: 7:31:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.67641 Generator_loss: 1.48709
[INFO] 2020-11-14 23:51:23 > Start Evaluation (48000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:53:20 > F_8 score (Step: 48000, Using test images): 0.9882129709359639
[INFO] 2020-11-14 23:53:20 > F_1/8 score (Step: 48000, Using test images): 0.9921781378140605
[INFO] 2020-11-14 23:53:20 > FID score (Step: 48000, Using test moments): 10.075702767731627
[INFO] 2020-11-14 23:53:20 > Inception score (Step: 48000, 10000 generated images): 9.484808921813965
[INFO] 2020-11-14 23:53:20 > Best FID score (Step: 48000, Using test moments): 10.075702767731627
[INFO] 2020-11-14 23:53:21 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-14 23:54:12 > Step: 48100 Progress: 24.1% Elapsed: 7:33:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.81442 Generator_loss: 2.31479
[INFO] 2020-11-14 23:55:03 > Step: 48200 Progress: 24.1% Elapsed: 7:34:50 temperature: 1.0 ada_p: No Discriminator_loss: 2.731 Generator_loss: 2.25018
[INFO] 2020-11-14 23:55:54 > Step: 48300 Progress: 24.1% Elapsed: 7:35:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.71289 Generator_loss: 1.67166
[INFO] 2020-11-14 23:56:43 > Step: 48400 Progress: 24.2% Elapsed: 7:36:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.75625 Generator_loss: 2.3438
[INFO] 2020-11-14 23:57:34 > Step: 48500 Progress: 24.2% Elapsed: 7:37:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.58189 Generator_loss: 2.75638
[INFO] 2020-11-14 23:58:25 > Step: 48600 Progress: 24.3% Elapsed: 7:38:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.84628 Generator_loss: 2.40924
[INFO] 2020-11-14 23:59:15 > Step: 48700 Progress: 24.3% Elapsed: 7:39:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.69601 Generator_loss: 1.63399
[INFO] 2020-11-15 00:00:06 > Step: 48800 Progress: 24.4% Elapsed: 7:39:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.75345 Generator_loss: 1.89967
[INFO] 2020-11-15 00:00:56 > Step: 48900 Progress: 24.4% Elapsed: 7:40:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.67658 Generator_loss: 2.59117
[INFO] 2020-11-15 00:01:46 > Step: 49000 Progress: 24.5% Elapsed: 7:41:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.54316 Generator_loss: 1.70174
[INFO] 2020-11-15 00:02:37 > Step: 49100 Progress: 24.6% Elapsed: 7:42:25 temperature: 1.0 ada_p: No Discriminator_loss: 3.06909 Generator_loss: 2.21148
[INFO] 2020-11-15 00:03:28 > Step: 49200 Progress: 24.6% Elapsed: 7:43:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.77145 Generator_loss: 2.30396
[INFO] 2020-11-15 00:04:19 > Step: 49300 Progress: 24.6% Elapsed: 7:44:06 temperature: 1.0 ada_p: No Discriminator_loss: 2.84118 Generator_loss: 1.6168
[INFO] 2020-11-15 00:05:09 > Step: 49400 Progress: 24.7% Elapsed: 7:44:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.85302 Generator_loss: 2.74133
[INFO] 2020-11-15 00:05:59 > Step: 49500 Progress: 24.8% Elapsed: 7:45:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.88205 Generator_loss: 1.64969
[INFO] 2020-11-15 00:06:49 > Step: 49600 Progress: 24.8% Elapsed: 7:46:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.71989 Generator_loss: 2.32383
[INFO] 2020-11-15 00:07:40 > Step: 49700 Progress: 24.9% Elapsed: 7:47:27 temperature: 1.0 ada_p: No Discriminator_loss: 2.65671 Generator_loss: 2.21315
[INFO] 2020-11-15 00:08:30 > Step: 49800 Progress: 24.9% Elapsed: 7:48:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.74003 Generator_loss: 1.5591
[INFO] 2020-11-15 00:09:20 > Step: 49900 Progress: 24.9% Elapsed: 7:49:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.66739 Generator_loss: 2.26094
[INFO] 2020-11-15 00:10:10 > Step: 50000 Progress: 25.0% Elapsed: 7:49:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.80331 Generator_loss: 1.59629
[INFO] 2020-11-15 00:10:10 > Start Evaluation (50000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:12:07 > F_8 score (Step: 50000, Using test images): 0.9898310560770996
[INFO] 2020-11-15 00:12:07 > F_1/8 score (Step: 50000, Using test images): 0.9945922769018737
[INFO] 2020-11-15 00:12:07 > FID score (Step: 50000, Using test moments): 9.772166654206217
[INFO] 2020-11-15 00:12:07 > Inception score (Step: 50000, 10000 generated images): 9.561583518981934
[INFO] 2020-11-15 00:12:07 > Best FID score (Step: 50000, Using test moments): 9.772166654206217
[INFO] 2020-11-15 00:12:08 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:12:59 > Step: 50100 Progress: 25.1% Elapsed: 7:52:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.75004 Generator_loss: 1.70498
[INFO] 2020-11-15 00:13:50 > Step: 50200 Progress: 25.1% Elapsed: 7:53:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.88548 Generator_loss: 1.62028
[INFO] 2020-11-15 00:14:40 > Step: 50300 Progress: 25.1% Elapsed: 7:54:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.63829 Generator_loss: 2.35926
[INFO] 2020-11-15 00:15:30 > Step: 50400 Progress: 25.2% Elapsed: 7:55:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.7032 Generator_loss: 1.94299
[INFO] 2020-11-15 00:16:21 > Step: 50500 Progress: 25.2% Elapsed: 7:56:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.93421 Generator_loss: 2.11762
[INFO] 2020-11-15 00:17:11 > Step: 50600 Progress: 25.3% Elapsed: 7:56:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.84146 Generator_loss: 2.80345
[INFO] 2020-11-15 00:18:01 > Step: 50700 Progress: 25.4% Elapsed: 7:57:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.75386 Generator_loss: 2.60469
[INFO] 2020-11-15 00:18:52 > Step: 50800 Progress: 25.4% Elapsed: 7:58:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.56331 Generator_loss: 2.39302
[INFO] 2020-11-15 00:19:42 > Step: 50900 Progress: 25.4% Elapsed: 7:59:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.57625 Generator_loss: 2.19012
[INFO] 2020-11-15 00:20:33 > Step: 51000 Progress: 25.5% Elapsed: 8:00:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.75532 Generator_loss: 2.53363
[INFO] 2020-11-15 00:21:23 > Step: 51100 Progress: 25.6% Elapsed: 8:01:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.69733 Generator_loss: 2.19857
[INFO] 2020-11-15 00:22:14 > Step: 51200 Progress: 25.6% Elapsed: 8:02:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.42106 Generator_loss: 1.67639
[INFO] 2020-11-15 00:23:05 > Step: 51300 Progress: 25.7% Elapsed: 8:02:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.76743 Generator_loss: 1.86342
[INFO] 2020-11-15 00:23:55 > Step: 51400 Progress: 25.7% Elapsed: 8:03:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.5591 Generator_loss: 2.42918
[INFO] 2020-11-15 00:24:45 > Step: 51500 Progress: 25.8% Elapsed: 8:04:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.83536 Generator_loss: 2.22398
[INFO] 2020-11-15 00:25:36 > Step: 51600 Progress: 25.8% Elapsed: 8:05:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.63744 Generator_loss: 2.36065
[INFO] 2020-11-15 00:26:26 > Step: 51700 Progress: 25.9% Elapsed: 8:06:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.6577 Generator_loss: 1.67928
[INFO] 2020-11-15 00:27:17 > Step: 51800 Progress: 25.9% Elapsed: 8:07:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.7529 Generator_loss: 2.40629
[INFO] 2020-11-15 00:28:07 > Step: 51900 Progress: 25.9% Elapsed: 8:07:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.60621 Generator_loss: 2.125
[INFO] 2020-11-15 00:28:57 > Step: 52000 Progress: 26.0% Elapsed: 8:08:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.47181 Generator_loss: 2.38119
[INFO] 2020-11-15 00:28:57 > Start Evaluation (52000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:30:53 > F_8 score (Step: 52000, Using test images): 0.9890242445886561
[INFO] 2020-11-15 00:30:53 > F_1/8 score (Step: 52000, Using test images): 0.9940955441586887
[INFO] 2020-11-15 00:30:53 > FID score (Step: 52000, Using test moments): 9.55696349214844
[INFO] 2020-11-15 00:30:53 > Inception score (Step: 52000, 10000 generated images): 9.559406280517578
[INFO] 2020-11-15 00:30:53 > Best FID score (Step: 52000, Using test moments): 9.55696349214844
[INFO] 2020-11-15 00:30:54 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:31:44 > Step: 52100 Progress: 26.1% Elapsed: 8:11:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.51314 Generator_loss: 1.62484
[INFO] 2020-11-15 00:32:34 > Step: 52200 Progress: 26.1% Elapsed: 8:12:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.71415 Generator_loss: 2.77615
[INFO] 2020-11-15 00:33:24 > Step: 52300 Progress: 26.2% Elapsed: 8:13:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.94709 Generator_loss: 2.28426
[INFO] 2020-11-15 00:34:15 > Step: 52400 Progress: 26.2% Elapsed: 8:14:02 temperature: 1.0 ada_p: No Discriminator_loss: 3.02721 Generator_loss: 1.55901
[INFO] 2020-11-15 00:35:05 > Step: 52500 Progress: 26.2% Elapsed: 8:14:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.68865 Generator_loss: 2.73569
[INFO] 2020-11-15 00:35:55 > Step: 52600 Progress: 26.3% Elapsed: 8:15:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.96225 Generator_loss: 2.39635
[INFO] 2020-11-15 00:36:45 > Step: 52700 Progress: 26.4% Elapsed: 8:16:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.62783 Generator_loss: 1.98906
[INFO] 2020-11-15 00:37:35 > Step: 52800 Progress: 26.4% Elapsed: 8:17:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.47382 Generator_loss: 1.91564
[INFO] 2020-11-15 00:38:25 > Step: 52900 Progress: 26.5% Elapsed: 8:18:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.71171 Generator_loss: 2.63853
[INFO] 2020-11-15 00:39:15 > Step: 53000 Progress: 26.5% Elapsed: 8:19:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.78603 Generator_loss: 2.26277
[INFO] 2020-11-15 00:40:05 > Step: 53100 Progress: 26.6% Elapsed: 8:19:52 temperature: 1.0 ada_p: No Discriminator_loss: 2.83996 Generator_loss: 1.85527
[INFO] 2020-11-15 00:40:54 > Step: 53200 Progress: 26.6% Elapsed: 8:20:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.78203 Generator_loss: 1.89368
[INFO] 2020-11-15 00:41:45 > Step: 53300 Progress: 26.7% Elapsed: 8:21:32 temperature: 1.0 ada_p: No Discriminator_loss: 2.61308 Generator_loss: 2.40912
[INFO] 2020-11-15 00:42:35 > Step: 53400 Progress: 26.7% Elapsed: 8:22:22 temperature: 1.0 ada_p: No Discriminator_loss: 2.69059 Generator_loss: 1.68714
[INFO] 2020-11-15 00:43:25 > Step: 53500 Progress: 26.8% Elapsed: 8:23:12 temperature: 1.0 ada_p: No Discriminator_loss: 2.88143 Generator_loss: 2.54131
[INFO] 2020-11-15 00:44:14 > Step: 53600 Progress: 26.8% Elapsed: 8:24:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.82304 Generator_loss: 2.43066
[INFO] 2020-11-15 00:45:03 > Step: 53700 Progress: 26.9% Elapsed: 8:24:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.68719 Generator_loss: 2.09407
[INFO] 2020-11-15 00:45:52 > Step: 53800 Progress: 26.9% Elapsed: 8:25:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.70088 Generator_loss: 2.50953
[INFO] 2020-11-15 00:46:42 > Step: 53900 Progress: 27.0% Elapsed: 8:26:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.86731 Generator_loss: 2.45045
[INFO] 2020-11-15 00:47:31 > Step: 54000 Progress: 27.0% Elapsed: 8:27:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.81302 Generator_loss: 2.843
[INFO] 2020-11-15 00:47:31 > Start Evaluation (54000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:49:26 > F_8 score (Step: 54000, Using test images): 0.9879326476263373
[INFO] 2020-11-15 00:49:26 > F_1/8 score (Step: 54000, Using test images): 0.9936647260134278
[INFO] 2020-11-15 00:49:26 > FID score (Step: 54000, Using test moments): 9.642949641943005
[INFO] 2020-11-15 00:49:26 > Inception score (Step: 54000, 10000 generated images): 9.643501281738281
[INFO] 2020-11-15 00:49:26 > Best FID score (Step: 52000, Using test moments): 9.55696349214844
[INFO] 2020-11-15 00:49:26 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 00:50:16 > Step: 54100 Progress: 27.1% Elapsed: 8:30:03 temperature: 1.0 ada_p: No Discriminator_loss: 2.9364 Generator_loss: 2.20067
[INFO] 2020-11-15 00:51:05 > Step: 54200 Progress: 27.1% Elapsed: 8:30:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.69689 Generator_loss: 1.87835
[INFO] 2020-11-15 00:51:55 > Step: 54300 Progress: 27.2% Elapsed: 8:31:42 temperature: 1.0 ada_p: No Discriminator_loss: 2.77026 Generator_loss: 1.86628
[INFO] 2020-11-15 00:52:44 > Step: 54400 Progress: 27.2% Elapsed: 8:32:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.60297 Generator_loss: 2.32117
[INFO] 2020-11-15 00:53:33 > Step: 54500 Progress: 27.3% Elapsed: 8:33:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.72021 Generator_loss: 2.36546
[INFO] 2020-11-15 00:54:22 > Step: 54600 Progress: 27.3% Elapsed: 8:34:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.00505 Generator_loss: 2.2077
[INFO] 2020-11-15 00:55:12 > Step: 54700 Progress: 27.4% Elapsed: 8:34:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.66589 Generator_loss: 1.96114
[INFO] 2020-11-15 00:56:01 > Step: 54800 Progress: 27.4% Elapsed: 8:35:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.74914 Generator_loss: 2.3209
[INFO] 2020-11-15 00:56:51 > Step: 54900 Progress: 27.5% Elapsed: 8:36:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.84452 Generator_loss: 2.44012
[INFO] 2020-11-15 00:57:40 > Step: 55000 Progress: 27.5% Elapsed: 8:37:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.85605 Generator_loss: 2.04406
[INFO] 2020-11-15 00:58:30 > Step: 55100 Progress: 27.6% Elapsed: 8:38:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.7919 Generator_loss: 2.13958
[INFO] 2020-11-15 00:59:20 > Step: 55200 Progress: 27.6% Elapsed: 8:39:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.71412 Generator_loss: 2.47661
[INFO] 2020-11-15 01:00:10 > Step: 55300 Progress: 27.7% Elapsed: 8:39:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.69193 Generator_loss: 2.39973
[INFO] 2020-11-15 01:00:59 > Step: 55400 Progress: 27.7% Elapsed: 8:40:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.72692 Generator_loss: 1.99676
[INFO] 2020-11-15 01:01:50 > Step: 55500 Progress: 27.8% Elapsed: 8:41:37 temperature: 1.0 ada_p: No Discriminator_loss: 3.03481 Generator_loss: 2.45623
[INFO] 2020-11-15 01:02:40 > Step: 55600 Progress: 27.8% Elapsed: 8:42:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.86923 Generator_loss: 2.47942
[INFO] 2020-11-15 01:03:29 > Step: 55700 Progress: 27.9% Elapsed: 8:43:17 temperature: 1.0 ada_p: No Discriminator_loss: 2.62868 Generator_loss: 1.75091
[INFO] 2020-11-15 01:04:19 > Step: 55800 Progress: 27.9% Elapsed: 8:44:07 temperature: 1.0 ada_p: No Discriminator_loss: 2.82184 Generator_loss: 2.44181
[INFO] 2020-11-15 01:05:09 > Step: 55900 Progress: 28.0% Elapsed: 8:44:57 temperature: 1.0 ada_p: No Discriminator_loss: 2.70563 Generator_loss: 2.49747
[INFO] 2020-11-15 01:05:59 > Step: 56000 Progress: 28.0% Elapsed: 8:45:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.72702 Generator_loss: 1.27999
[INFO] 2020-11-15 01:05:59 > Start Evaluation (56000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:07:54 > F_8 score (Step: 56000, Using test images): 0.9906018961574093
[INFO] 2020-11-15 01:07:54 > F_1/8 score (Step: 56000, Using test images): 0.9945621465385643
[INFO] 2020-11-15 01:07:54 > FID score (Step: 56000, Using test moments): 9.359971416893927
[INFO] 2020-11-15 01:07:54 > Inception score (Step: 56000, 10000 generated images): 9.66966438293457
[INFO] 2020-11-15 01:07:54 > Best FID score (Step: 56000, Using test moments): 9.359971416893927
[INFO] 2020-11-15 01:07:56 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:08:46 > Step: 56100 Progress: 28.1% Elapsed: 8:48:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.8482 Generator_loss: 2.06325
[INFO] 2020-11-15 01:09:35 > Step: 56200 Progress: 28.1% Elapsed: 8:49:23 temperature: 1.0 ada_p: No Discriminator_loss: 3.19486 Generator_loss: 2.81459
[INFO] 2020-11-15 01:10:26 > Step: 56300 Progress: 28.1% Elapsed: 8:50:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.66238 Generator_loss: 1.81376
[INFO] 2020-11-15 01:11:16 > Step: 56400 Progress: 28.2% Elapsed: 8:51:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.93133 Generator_loss: 2.56854
[INFO] 2020-11-15 01:12:06 > Step: 56500 Progress: 28.2% Elapsed: 8:51:54 temperature: 1.0 ada_p: No Discriminator_loss: 2.65962 Generator_loss: 1.84618
[INFO] 2020-11-15 01:12:57 > Step: 56600 Progress: 28.3% Elapsed: 8:52:44 temperature: 1.0 ada_p: No Discriminator_loss: 2.68039 Generator_loss: 2.35933
[INFO] 2020-11-15 01:13:47 > Step: 56700 Progress: 28.3% Elapsed: 8:53:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.77405 Generator_loss: 2.29963
[INFO] 2020-11-15 01:14:37 > Step: 56800 Progress: 28.4% Elapsed: 8:54:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.83603 Generator_loss: 1.8296
[INFO] 2020-11-15 01:15:27 > Step: 56900 Progress: 28.4% Elapsed: 8:55:15 temperature: 1.0 ada_p: No Discriminator_loss: 2.65261 Generator_loss: 2.33421
[INFO] 2020-11-15 01:16:17 > Step: 57000 Progress: 28.5% Elapsed: 8:56:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.77479 Generator_loss: 2.52304
[INFO] 2020-11-15 01:17:07 > Step: 57100 Progress: 28.5% Elapsed: 8:56:55 temperature: 1.0 ada_p: No Discriminator_loss: 2.78807 Generator_loss: 2.017
[INFO] 2020-11-15 01:17:58 > Step: 57200 Progress: 28.6% Elapsed: 8:57:45 temperature: 1.0 ada_p: No Discriminator_loss: 2.81025 Generator_loss: 1.99199
[INFO] 2020-11-15 01:18:47 > Step: 57300 Progress: 28.6% Elapsed: 8:58:35 temperature: 1.0 ada_p: No Discriminator_loss: 2.85544 Generator_loss: 2.25332
[INFO] 2020-11-15 01:19:37 > Step: 57400 Progress: 28.7% Elapsed: 8:59:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.70075 Generator_loss: 2.54875
[INFO] 2020-11-15 01:20:26 > Step: 57500 Progress: 28.7% Elapsed: 9:00:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.56676 Generator_loss: 2.1281
[INFO] 2020-11-15 01:21:15 > Step: 57600 Progress: 28.8% Elapsed: 9:01:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.6782 Generator_loss: 1.76058
[INFO] 2020-11-15 01:22:05 > Step: 57700 Progress: 28.8% Elapsed: 9:01:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.60909 Generator_loss: 1.85304
[INFO] 2020-11-15 01:22:55 > Step: 57800 Progress: 28.9% Elapsed: 9:02:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.97912 Generator_loss: 1.54359
[INFO] 2020-11-15 01:23:45 > Step: 57900 Progress: 28.9% Elapsed: 9:03:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.7023 Generator_loss: 2.03777
[INFO] 2020-11-15 01:24:36 > Step: 58000 Progress: 29.0% Elapsed: 9:04:23 temperature: 1.0 ada_p: No Discriminator_loss: 2.81586 Generator_loss: 2.08314
[INFO] 2020-11-15 01:24:36 > Start Evaluation (58000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:26:30 > F_8 score (Step: 58000, Using test images): 0.9897114539441783
[INFO] 2020-11-15 01:26:30 > F_1/8 score (Step: 58000, Using test images): 0.9930513789089018
[INFO] 2020-11-15 01:26:30 > FID score (Step: 58000, Using test moments): 9.184780444779506
[INFO] 2020-11-15 01:26:30 > Inception score (Step: 58000, 10000 generated images): 9.666328430175781
[INFO] 2020-11-15 01:26:30 > Best FID score (Step: 58000, Using test moments): 9.184780444779506
[INFO] 2020-11-15 01:26:31 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:27:21 > Step: 58100 Progress: 29.0% Elapsed: 9:07:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.88063 Generator_loss: 1.73623
[INFO] 2020-11-15 01:28:11 > Step: 58200 Progress: 29.1% Elapsed: 9:07:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.60292 Generator_loss: 2.08215
[INFO] 2020-11-15 01:29:02 > Step: 58300 Progress: 29.1% Elapsed: 9:08:49 temperature: 1.0 ada_p: No Discriminator_loss: 3.02415 Generator_loss: 2.3252
[INFO] 2020-11-15 01:29:51 > Step: 58400 Progress: 29.2% Elapsed: 9:09:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.64439 Generator_loss: 2.20199
[INFO] 2020-11-15 01:30:41 > Step: 58500 Progress: 29.2% Elapsed: 9:10:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.55943 Generator_loss: 1.85691
[INFO] 2020-11-15 01:31:31 > Step: 58600 Progress: 29.3% Elapsed: 9:11:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.88488 Generator_loss: 2.05515
[INFO] 2020-11-15 01:32:20 > Step: 58700 Progress: 29.3% Elapsed: 9:12:08 temperature: 1.0 ada_p: No Discriminator_loss: 2.67187 Generator_loss: 1.23133
[INFO] 2020-11-15 01:33:10 > Step: 58800 Progress: 29.4% Elapsed: 9:12:58 temperature: 1.0 ada_p: No Discriminator_loss: 2.44744 Generator_loss: 2.50159
[INFO] 2020-11-15 01:34:00 > Step: 58900 Progress: 29.4% Elapsed: 9:13:48 temperature: 1.0 ada_p: No Discriminator_loss: 2.8871 Generator_loss: 1.79467
[INFO] 2020-11-15 01:34:50 > Step: 59000 Progress: 29.5% Elapsed: 9:14:38 temperature: 1.0 ada_p: No Discriminator_loss: 2.46753 Generator_loss: 2.21392
[INFO] 2020-11-15 01:35:41 > Step: 59100 Progress: 29.5% Elapsed: 9:15:29 temperature: 1.0 ada_p: No Discriminator_loss: 2.80451 Generator_loss: 1.79192
[INFO] 2020-11-15 01:36:32 > Step: 59200 Progress: 29.6% Elapsed: 9:16:19 temperature: 1.0 ada_p: No Discriminator_loss: 2.7618 Generator_loss: 1.75591
[INFO] 2020-11-15 01:37:22 > Step: 59300 Progress: 29.6% Elapsed: 9:17:10 temperature: 1.0 ada_p: No Discriminator_loss: 2.69903 Generator_loss: 2.27159
[INFO] 2020-11-15 01:38:12 > Step: 59400 Progress: 29.7% Elapsed: 9:18:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.61386 Generator_loss: 2.24426
[INFO] 2020-11-15 01:39:02 > Step: 59500 Progress: 29.8% Elapsed: 9:18:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.87415 Generator_loss: 2.54888
[INFO] 2020-11-15 01:39:52 > Step: 59600 Progress: 29.8% Elapsed: 9:19:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.97602 Generator_loss: 2.13011
[INFO] 2020-11-15 01:40:43 > Step: 59700 Progress: 29.8% Elapsed: 9:20:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.72264 Generator_loss: 2.45427
[INFO] 2020-11-15 01:41:33 > Step: 59800 Progress: 29.9% Elapsed: 9:21:20 temperature: 1.0 ada_p: No Discriminator_loss: 2.72077 Generator_loss: 1.87882
[INFO] 2020-11-15 01:42:24 > Step: 59900 Progress: 29.9% Elapsed: 9:22:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.61554 Generator_loss: 2.41185
[INFO] 2020-11-15 01:43:14 > Step: 60000 Progress: 30.0% Elapsed: 9:23:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.69554 Generator_loss: 1.87162
[INFO] 2020-11-15 01:43:14 > Start Evaluation (60000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:45:08 > F_8 score (Step: 60000, Using test images): 0.9913133741469268
[INFO] 2020-11-15 01:45:08 > F_1/8 score (Step: 60000, Using test images): 0.9949064414718849
[INFO] 2020-11-15 01:45:08 > FID score (Step: 60000, Using test moments): 9.145767648236188
[INFO] 2020-11-15 01:45:08 > Inception score (Step: 60000, 10000 generated images): 9.607791900634766
[INFO] 2020-11-15 01:45:08 > Best FID score (Step: 60000, Using test moments): 9.145767648236188
[INFO] 2020-11-15 01:45:09 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 01:45:59 > Step: 60100 Progress: 30.0% Elapsed: 9:25:47 temperature: 1.0 ada_p: No Discriminator_loss: 2.91516 Generator_loss: 2.20756
[INFO] 2020-11-15 01:46:49 > Step: 60200 Progress: 30.1% Elapsed: 9:26:37 temperature: 1.0 ada_p: No Discriminator_loss: 2.56827 Generator_loss: 1.82076
[INFO] 2020-11-15 01:47:40 > Step: 60300 Progress: 30.1% Elapsed: 9:27:28 temperature: 1.0 ada_p: No Discriminator_loss: 2.64616 Generator_loss: 2.13173
[INFO] 2020-11-15 01:48:31 > Step: 60400 Progress: 30.2% Elapsed: 9:28:18 temperature: 1.0 ada_p: No Discriminator_loss: 2.86206 Generator_loss: 2.16336
[INFO] 2020-11-15 01:49:21 > Step: 60500 Progress: 30.2% Elapsed: 9:29:09 temperature: 1.0 ada_p: No Discriminator_loss: 2.7555 Generator_loss: 1.96161
[INFO] 2020-11-15 01:50:11 > Step: 60600 Progress: 30.3% Elapsed: 9:29:59 temperature: 1.0 ada_p: No Discriminator_loss: 2.6427 Generator_loss: 1.98655
[INFO] 2020-11-15 01:51:01 > Step: 60700 Progress: 30.3% Elapsed: 9:30:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.82415 Generator_loss: 1.81745
[INFO] 2020-11-15 01:51:52 > Step: 60800 Progress: 30.4% Elapsed: 9:31:40 temperature: 1.0 ada_p: No Discriminator_loss: 2.78058 Generator_loss: 2.39614
[INFO] 2020-11-15 01:52:43 > Step: 60900 Progress: 30.4% Elapsed: 9:32:31 temperature: 1.0 ada_p: No Discriminator_loss: 2.76274 Generator_loss: 2.08937
[INFO] 2020-11-15 01:53:33 > Step: 61000 Progress: 30.5% Elapsed: 9:33:21 temperature: 1.0 ada_p: No Discriminator_loss: 2.76699 Generator_loss: 2.4605
[INFO] 2020-11-15 01:54:23 > Step: 61100 Progress: 30.6% Elapsed: 9:34:11 temperature: 1.0 ada_p: No Discriminator_loss: 2.96635 Generator_loss: 1.40432
[INFO] 2020-11-15 01:55:13 > Step: 61200 Progress: 30.6% Elapsed: 9:35:00 temperature: 1.0 ada_p: No Discriminator_loss: 2.8131 Generator_loss: 2.17068
[INFO] 2020-11-15 01:56:02 > Step: 61300 Progress: 30.6% Elapsed: 9:35:49 temperature: 1.0 ada_p: No Discriminator_loss: 2.6876 Generator_loss: 1.43612
[INFO] 2020-11-15 01:56:52 > Step: 61400 Progress: 30.7% Elapsed: 9:36:39 temperature: 1.0 ada_p: No Discriminator_loss: 2.9817 Generator_loss: 1.61989
[INFO] 2020-11-15 01:57:42 > Step: 61500 Progress: 30.8% Elapsed: 9:37:30 temperature: 1.0 ada_p: No Discriminator_loss: 2.75813 Generator_loss: 2.38912
[INFO] 2020-11-15 01:58:32 > Step: 61600 Progress: 30.8% Elapsed: 9:38:20 temperature: 1.0 ada_p: No Discriminator_loss: 3.07933 Generator_loss: 2.35835
[INFO] 2020-11-15 01:59:23 > Step: 61700 Progress: 30.9% Elapsed: 9:39:10 temperature: 1.0 ada_p: No Discriminator_loss: 3.05207 Generator_loss: 1.91656
[INFO] 2020-11-15 02:00:13 > Step: 61800 Progress: 30.9% Elapsed: 9:40:01 temperature: 1.0 ada_p: No Discriminator_loss: 2.78205 Generator_loss: 2.20905
[INFO] 2020-11-15 02:01:03 > Step: 61900 Progress: 30.9% Elapsed: 9:40:51 temperature: 1.0 ada_p: No Discriminator_loss: 2.75016 Generator_loss: 2.1645
[INFO] 2020-11-15 02:01:53 > Step: 62000 Progress: 31.0% Elapsed: 9:41:41 temperature: 1.0 ada_p: No Discriminator_loss: 2.64507 Generator_loss: 2.23045
[INFO] 2020-11-15 02:01:53 > Start Evaluation (62000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 02:03:48 > F_8 score (Step: 62000, Using test images): 0.9898712524835704
[INFO] 2020-11-15 02:03:48 > F_1/8 score (Step: 62000, Using test images): 0.9944236255391747
[INFO] 2020-11-15 02:03:48 > FID score (Step: 62000, Using test moments): 9.308329575366486
[INFO] 2020-11-15 02:03:48 > Inception score (Step: 62000, 10000 generated images): 9.69115924835205
[INFO] 2020-11-15 02:03:48 > Best FID score (Step: 60000, Using test moments): 9.145767648236188
[INFO] 2020-11-15 02:03:48 > Saved model to checkpoints/DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 02:04:37 > Step: 62100 Progress: 31.1% Elapsed: 9:44:25 temperature: 1.0 ada_p: No Discriminator_loss: 2.80603 Generator_loss: 2.11637
[INFO] 2020-11-15 02:05:26 > Step: 62200 Progress: 31.1% Elapsed: 9:45:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.52973 Generator_loss: 2.46966
[INFO] 2020-11-15 02:06:16 > Step: 62300 Progress: 31.1% Elapsed: 9:46:04 temperature: 1.0 ada_p: No Discriminator_loss: 2.65815 Generator_loss: 2.48082
[INFO] 2020-11-15 02:07:07 > Step: 62400 Progress: 31.2% Elapsed: 9:46:54 temperature: 1.0 ada_p: No Discriminator_loss: 3.01047 Generator_loss: 2.66371
[INFO] 2020-11-15 02:07:56 > Step: 62500 Progress: 31.2% Elapsed: 9:47:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.6305 Generator_loss: 1.83467
[INFO] 2020-11-15 02:08:46 > Step: 62600 Progress: 31.3% Elapsed: 9:48:33 temperature: 1.0 ada_p: No Discriminator_loss: 2.76834 Generator_loss: 1.87974
[INFO] 2020-11-15 02:09:36 > Step: 62700 Progress: 31.4% Elapsed: 9:49:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.72166 Generator_loss: 1.69785
[INFO] 2020-11-15 02:10:26 > Step: 62800 Progress: 31.4% Elapsed: 9:50:13 temperature: 1.0 ada_p: No Discriminator_loss: 2.63184 Generator_loss: 2.45865
[INFO] 2020-11-15 02:11:15 > Step: 62900 Progress: 31.4% Elapsed: 9:51:02 temperature: 1.0 ada_p: No Discriminator_loss: 2.54913 Generator_loss: 1.89964
[INFO] 2020-11-15 02:12:05 > Step: 63000 Progress: 31.5% Elapsed: 9:51:53 temperature: 1.0 ada_p: No Discriminator_loss: 2.73884 Generator_loss: 2.405
[INFO] 2020-11-15 02:12:56 > Step: 63100 Progress: 31.6% Elapsed: 9:52:43 temperature: 1.0 ada_p: No Discriminator_loss: 2.48286 Generator_loss: 2.32335
[INFO] 2020-11-15 02:13:46 > Step: 63200 Progress: 31.6% Elapsed: 9:53:34 temperature: 1.0 ada_p: No Discriminator_loss: 2.70612 Generator_loss: 1.95558
[INFO] 2020-11-15 02:14:37 > Step: 63300 Progress: 31.6% Elapsed: 9:54:24 temperature: 1.0 ada_p: No Discriminator_loss: 2.86457 Generator_loss: 2.12459
[INFO] 2020-11-15 02:15:26 > Step: 63400 Progress: 31.7% Elapsed: 9:55:14 temperature: 1.0 ada_p: No Discriminator_loss: 2.84919 Generator_loss: 1.62572
[INFO] 2020-11-15 02:16:17 > Step: 63500 Progress: 31.8% Elapsed: 9:56:05 temperature: 1.0 ada_p: No Discriminator_loss: 2.98605 Generator_loss: 2.01301
[INFO] 2020-11-15 02:17:08 > Step: 63600 Progress: 31.8% Elapsed: 9:56:56 temperature: 1.0 ada_p: No Discriminator_loss: 2.69331 Generator_loss: 2.76849
[INFO] 2020-11-15 02:17:58 > Step: 63700 Progress: 31.9% Elapsed: 9:57:46 temperature: 1.0 ada_p: No Discriminator_loss: 2.65501 Generator_loss: 2.58343
[INFO] 2020-11-15 02:18:49 > Step: 63800 Progress: 31.9% Elapsed: 9:58:36 temperature: 1.0 ada_p: No Discriminator_loss: 2.76499 Generator_loss: 1.66674
[INFO] 2020-11-15 02:19:39 > Step: 63900 Progress: 31.9% Elapsed: 9:59:26 temperature: 1.0 ada_p: No Discriminator_loss: 2.92664 Generator_loss: 2.32261
[INFO] 2020-11-15 02:20:29 > Step: 64000 Progress: 32.0% Elapsed: 10:00:16 temperature: 1.0 ada_p: No Discriminator_loss: 3.01561 Generator_loss: 1.81976
[INFO] 2020-11-15 02:20:29 > Start Evaluation (64000 Step): DiffAugGAN(C)-train-2020_11_14_16_20_04
[INFO] 2020-11-15 02:22:23 > F_8 score (Step: 64000, Using test images): 0.9891806136227036
[INFO] 2020-11-15 02:22:23 > F_1/8 score (Step: 64000, Using test images): 0.9940960362386692
[INFO] 2020-11-15 02:22:23 > FID score (Step: 64000, Using test moments): 8.857033206864514
[INFO] 2020-11-15 02:22:23 > Inception score (Step: 64000, 10000 generated images): 9.55081558227539