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ContraGAN256-train-2021_01_25_13_55_18.log
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ContraGAN256-train-2021_01_25_13_55_18.log
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[INFO] 2021-01-25 13:55:18 > Run name : ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 13:55:18 > {'config_path': 'src/configs/ILSVRC2012/ContraGAN256.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': True, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-25 13:55:18 > {'data_processing': {'dataset_name': 'imagenet', 'data_path': './data/ILSVRC2012', 'img_size': 128, 'num_classes': 1000, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'big_resnet', 'conditional_strategy': 'ContraGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 1536, 'nonlinear_embed': False, 'normalize_embed': True, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 4, 'attention_after_nth_dis_block': 1, 'z_dim': 120, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 5e-05, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 2, 'total_step': 200000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 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': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 20000}}}
[INFO] 2021-01-25 13:55:18 > Load train datasets...
[INFO] 2021-01-25 14:04:17 > Train dataset size : 1281167
[INFO] 2021-01-25 14:04:17 > Load valid datasets...
[INFO] 2021-01-25 14:04:18 > Eval dataset size : 50000
[INFO] 2021-01-25 14:04:18 > Build model...
[INFO] 2021-01-25 14:04:18 > Modules are located on models.big_resnet.
[INFO] 2021-01-25 14:04:30 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-25 14:04:31 > Number of parameters: 70433988
[INFO] 2021-01-25 14:04:31 > Generator(
(linear0): Linear(in_features=20, out_features=24576, bias=True)
(shared): Embedding(1000, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1536, 1536, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1536, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1536, bias=False)
(bias): Linear(in_features=148, out_features=1536, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(768, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=768, bias=False)
(bias): Linear(in_features=148, out_features=768, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1536, 768, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1536, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(768, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=768, bias=False)
(bias): Linear(in_features=148, out_features=768, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(768, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(768, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(192, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=192, bias=False)
(bias): Linear(in_features=148, out_features=192, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(4): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(5): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(192, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=192, bias=False)
(bias): Linear(in_features=148, out_features=192, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=96, bias=False)
(bias): Linear(in_features=148, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(96, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-25 14:04:31 > Number of parameters: 90343202
[INFO] 2021-01-25 14:04:31 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(96, 12, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(96, 12, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(96, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(48, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(96, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 768, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(768, 1536, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(768, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(6): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1536, 1536, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=1536, out_features=1, bias=True)
(linear2): Linear(in_features=1536, out_features=1536, bias=True)
(embedding): Embedding(1000, 1536)
)
[INFO] 2021-01-25 14:04:33 > Start training....
[INFO] 2021-01-25 14:07:30 > Step: 100 Progress: 0.1% Elapsed: 0:02:57 temperature: 1.0 ada_p: No Discriminator_loss: 7.26376 Generator_loss: 5.95959
[INFO] 2021-01-25 14:09:52 > Step: 200 Progress: 0.1% Elapsed: 0:05:19 temperature: 1.0 ada_p: No Discriminator_loss: 7.18848 Generator_loss: 4.71618
[INFO] 2021-01-25 14:12:15 > Step: 300 Progress: 0.1% Elapsed: 0:07:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.84333 Generator_loss: 5.79687
[INFO] 2021-01-25 14:14:36 > Step: 400 Progress: 0.2% Elapsed: 0:10:03 temperature: 1.0 ada_p: No Discriminator_loss: 7.08102 Generator_loss: 4.9031
[INFO] 2021-01-25 14:16:59 > Step: 500 Progress: 0.2% Elapsed: 0:12:25 temperature: 1.0 ada_p: No Discriminator_loss: 7.07113 Generator_loss: 6.62461
[INFO] 2021-01-25 14:19:21 > Step: 600 Progress: 0.3% Elapsed: 0:14:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.61602 Generator_loss: 6.73769
[INFO] 2021-01-25 14:21:43 > Step: 700 Progress: 0.4% Elapsed: 0:17:10 temperature: 1.0 ada_p: No Discriminator_loss: 7.4173 Generator_loss: 6.32395
[INFO] 2021-01-25 14:24:05 > Step: 800 Progress: 0.4% Elapsed: 0:19:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.73627 Generator_loss: 5.37862
[INFO] 2021-01-25 14:26:28 > Step: 900 Progress: 0.4% Elapsed: 0:21:54 temperature: 1.0 ada_p: No Discriminator_loss: 6.63362 Generator_loss: 4.82004
[INFO] 2021-01-25 14:28:50 > Step: 1000 Progress: 0.5% Elapsed: 0:24:17 temperature: 1.0 ada_p: No Discriminator_loss: 6.64834 Generator_loss: 5.9422
[INFO] 2021-01-25 14:31:13 > Step: 1100 Progress: 0.5% Elapsed: 0:26:39 temperature: 1.0 ada_p: No Discriminator_loss: 7.31532 Generator_loss: 5.4303
[INFO] 2021-01-25 14:33:36 > Step: 1200 Progress: 0.6% Elapsed: 0:29:02 temperature: 1.0 ada_p: No Discriminator_loss: 6.74363 Generator_loss: 6.6328
[INFO] 2021-01-25 14:35:58 > Step: 1300 Progress: 0.7% Elapsed: 0:31:25 temperature: 1.0 ada_p: No Discriminator_loss: 6.73041 Generator_loss: 6.56824
[INFO] 2021-01-25 14:38:21 > Step: 1400 Progress: 0.7% Elapsed: 0:33:48 temperature: 1.0 ada_p: No Discriminator_loss: 6.69375 Generator_loss: 6.76818
[INFO] 2021-01-25 14:40:44 > Step: 1500 Progress: 0.8% Elapsed: 0:36:11 temperature: 1.0 ada_p: No Discriminator_loss: 6.30143 Generator_loss: 5.51187
[INFO] 2021-01-25 14:43:08 > Step: 1600 Progress: 0.8% Elapsed: 0:38:34 temperature: 1.0 ada_p: No Discriminator_loss: 6.34439 Generator_loss: 6.46766
[INFO] 2021-01-25 14:45:31 > Step: 1700 Progress: 0.9% Elapsed: 0:40:57 temperature: 1.0 ada_p: No Discriminator_loss: 6.53381 Generator_loss: 6.44396
[INFO] 2021-01-25 14:47:54 > Step: 1800 Progress: 0.9% Elapsed: 0:43:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.32913 Generator_loss: 4.43125
[INFO] 2021-01-25 14:50:17 > Step: 1900 Progress: 0.9% Elapsed: 0:45:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.51072 Generator_loss: 6.15762
[INFO] 2021-01-25 14:52:40 > Step: 2000 Progress: 1.0% Elapsed: 0:48:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.10778 Generator_loss: 5.42093
[INFO] 2021-01-25 14:52:40 > Start Evaluation (2000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 14:52:40 > Calculating FID Score....
[INFO] 2021-01-25 14:53:34 > Calculating Inception Score....
[INFO] 2021-01-25 14:54:25 > Calculate F_beta Score....
[INFO] 2021-01-25 15:01:49 > Calculate Accuracies....
[INFO] 2021-01-25 15:02:35 > Calculate Accuracies....
[INFO] 2021-01-25 15:06:15 > F_8 score (Step: 2000, Using valid images): 0.2773970166597711
[INFO] 2021-01-25 15:06:15 > F_1/8 score (Step: 2000, Using valid images): 0.2881117821462326
[INFO] 2021-01-25 15:06:15 > FID score (Step: 2000, Using valid moments): 128.59701097416274
[INFO] 2021-01-25 15:06:15 > Inception score (Step: 2000, 50000 generated images): 6.3862175941467285
[INFO] 2021-01-25 15:06:15 > Best FID score (Step: 2000, Using valid moments): 128.59701097416274
[INFO] 2021-01-25 15:07:07 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 15:09:30 > Step: 2100 Progress: 1.1% Elapsed: 1:04:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.36935 Generator_loss: 4.38002
[INFO] 2021-01-25 15:11:52 > Step: 2200 Progress: 1.1% Elapsed: 1:07:18 temperature: 1.0 ada_p: No Discriminator_loss: 6.40135 Generator_loss: 5.76871
[INFO] 2021-01-25 15:14:15 > Step: 2300 Progress: 1.1% Elapsed: 1:09:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.45436 Generator_loss: 5.18004
[INFO] 2021-01-25 15:16:37 > Step: 2400 Progress: 1.2% Elapsed: 1:12:04 temperature: 1.0 ada_p: No Discriminator_loss: 6.19957 Generator_loss: 6.31115
[INFO] 2021-01-25 15:19:00 > Step: 2500 Progress: 1.2% Elapsed: 1:14:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.97192 Generator_loss: 4.93293
[INFO] 2021-01-25 15:21:26 > Step: 2600 Progress: 1.3% Elapsed: 1:16:52 temperature: 1.0 ada_p: No Discriminator_loss: 6.41073 Generator_loss: 4.93513
[INFO] 2021-01-25 15:23:49 > Step: 2700 Progress: 1.4% Elapsed: 1:19:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.14683 Generator_loss: 5.92946
[INFO] 2021-01-25 15:26:12 > Step: 2800 Progress: 1.4% Elapsed: 1:21:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.32785 Generator_loss: 5.12843
[INFO] 2021-01-25 15:28:34 > Step: 2900 Progress: 1.5% Elapsed: 1:24:01 temperature: 1.0 ada_p: No Discriminator_loss: 6.4398 Generator_loss: 6.40224
[INFO] 2021-01-25 15:30:57 > Step: 3000 Progress: 1.5% Elapsed: 1:26:23 temperature: 1.0 ada_p: No Discriminator_loss: 6.19945 Generator_loss: 4.71266
[INFO] 2021-01-25 15:33:20 > Step: 3100 Progress: 1.6% Elapsed: 1:28:47 temperature: 1.0 ada_p: No Discriminator_loss: 6.13873 Generator_loss: 4.67334
[INFO] 2021-01-25 15:35:43 > Step: 3200 Progress: 1.6% Elapsed: 1:31:10 temperature: 1.0 ada_p: No Discriminator_loss: 6.01657 Generator_loss: 5.61438
[INFO] 2021-01-25 15:38:06 > Step: 3300 Progress: 1.7% Elapsed: 1:33:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.7994 Generator_loss: 5.79585
[INFO] 2021-01-25 15:40:30 > Step: 3400 Progress: 1.7% Elapsed: 1:35:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.08767 Generator_loss: 6.45296
[INFO] 2021-01-25 15:42:53 > Step: 3500 Progress: 1.8% Elapsed: 1:38:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.554 Generator_loss: 6.2356
[INFO] 2021-01-25 15:45:16 > Step: 3600 Progress: 1.8% Elapsed: 1:40:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.10974 Generator_loss: 5.15727
[INFO] 2021-01-25 15:48:01 > Step: 3700 Progress: 1.8% Elapsed: 1:43:27 temperature: 1.0 ada_p: No Discriminator_loss: 6.4447 Generator_loss: 5.46963
[INFO] 2021-01-25 15:50:25 > Step: 3800 Progress: 1.9% Elapsed: 1:45:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.02155 Generator_loss: 5.44331
[INFO] 2021-01-25 15:52:49 > Step: 3900 Progress: 1.9% Elapsed: 1:48:15 temperature: 1.0 ada_p: No Discriminator_loss: 6.26027 Generator_loss: 5.15846
[INFO] 2021-01-25 15:55:13 > Step: 4000 Progress: 2.0% Elapsed: 1:50:39 temperature: 1.0 ada_p: No Discriminator_loss: 6.18829 Generator_loss: 5.18201
[INFO] 2021-01-25 15:55:13 > Start Evaluation (4000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 15:55:13 > Calculating FID Score....
[INFO] 2021-01-25 15:56:06 > Calculating Inception Score....
[INFO] 2021-01-25 15:56:56 > Calculate F_beta Score....
[INFO] 2021-01-25 16:04:40 > Calculate Accuracies....
[INFO] 2021-01-25 16:05:26 > Calculate Accuracies....
[INFO] 2021-01-25 16:09:08 > F_8 score (Step: 4000, Using valid images): 0.40128497287197684
[INFO] 2021-01-25 16:09:08 > F_1/8 score (Step: 4000, Using valid images): 0.5182981015620036
[INFO] 2021-01-25 16:09:08 > FID score (Step: 4000, Using valid moments): 98.73586409971284
[INFO] 2021-01-25 16:09:08 > Inception score (Step: 4000, 50000 generated images): 8.898566246032715
[INFO] 2021-01-25 16:09:08 > Best FID score (Step: 4000, Using valid moments): 98.73586409971284
[INFO] 2021-01-25 16:09:58 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 16:12:42 > Step: 4100 Progress: 2.1% Elapsed: 2:08:08 temperature: 1.0 ada_p: No Discriminator_loss: 6.16044 Generator_loss: 4.86406
[INFO] 2021-01-25 16:15:06 > Step: 4200 Progress: 2.1% Elapsed: 2:10:33 temperature: 1.0 ada_p: No Discriminator_loss: 6.22656 Generator_loss: 5.29892
[INFO] 2021-01-25 16:17:30 > Step: 4300 Progress: 2.1% Elapsed: 2:12:56 temperature: 1.0 ada_p: No Discriminator_loss: 6.02658 Generator_loss: 5.46697
[INFO] 2021-01-25 16:19:53 > Step: 4400 Progress: 2.2% Elapsed: 2:15:20 temperature: 1.0 ada_p: No Discriminator_loss: 6.1644 Generator_loss: 4.94238
[INFO] 2021-01-25 16:22:17 > Step: 4500 Progress: 2.2% Elapsed: 2:17:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.0656 Generator_loss: 5.20507
[INFO] 2021-01-25 16:24:41 > Step: 4600 Progress: 2.3% Elapsed: 2:20:07 temperature: 1.0 ada_p: No Discriminator_loss: 6.39322 Generator_loss: 5.57349
[INFO] 2021-01-25 16:27:05 > Step: 4700 Progress: 2.4% Elapsed: 2:22:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.96782 Generator_loss: 5.24852
[INFO] 2021-01-25 16:29:29 > Step: 4800 Progress: 2.4% Elapsed: 2:24:55 temperature: 1.0 ada_p: No Discriminator_loss: 6.17772 Generator_loss: 5.29888
[INFO] 2021-01-25 16:31:53 > Step: 4900 Progress: 2.5% Elapsed: 2:27:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.11497 Generator_loss: 5.39767
[INFO] 2021-01-25 16:34:16 > Step: 5000 Progress: 2.5% Elapsed: 2:29:43 temperature: 1.0 ada_p: No Discriminator_loss: 6.01681 Generator_loss: 5.55555
[INFO] 2021-01-25 16:36:43 > Step: 5100 Progress: 2.5% Elapsed: 2:32:09 temperature: 1.0 ada_p: No Discriminator_loss: 6.15777 Generator_loss: 5.21945
[INFO] 2021-01-25 16:39:06 > Step: 5200 Progress: 2.6% Elapsed: 2:34:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.01685 Generator_loss: 5.13419
[INFO] 2021-01-25 16:41:29 > Step: 5300 Progress: 2.6% Elapsed: 2:36:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.98298 Generator_loss: 5.27509
[INFO] 2021-01-25 16:43:53 > Step: 5400 Progress: 2.7% Elapsed: 2:39:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.96857 Generator_loss: 5.32949
[INFO] 2021-01-25 16:46:16 > Step: 5500 Progress: 2.8% Elapsed: 2:41:42 temperature: 1.0 ada_p: No Discriminator_loss: 6.02857 Generator_loss: 5.40053
[INFO] 2021-01-25 16:48:40 > Step: 5600 Progress: 2.8% Elapsed: 2:44:06 temperature: 1.0 ada_p: No Discriminator_loss: 6.15884 Generator_loss: 5.02211
[INFO] 2021-01-25 16:51:03 > Step: 5700 Progress: 2.9% Elapsed: 2:46:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.97331 Generator_loss: 5.17061
[INFO] 2021-01-25 16:53:27 > Step: 5800 Progress: 2.9% Elapsed: 2:48:53 temperature: 1.0 ada_p: No Discriminator_loss: 6.19653 Generator_loss: 5.3448
[INFO] 2021-01-25 16:55:50 > Step: 5900 Progress: 2.9% Elapsed: 2:51:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.85707 Generator_loss: 5.27016
[INFO] 2021-01-25 16:58:14 > Step: 6000 Progress: 3.0% Elapsed: 2:53:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.87098 Generator_loss: 5.26995
[INFO] 2021-01-25 16:58:14 > Start Evaluation (6000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 16:58:14 > Calculating FID Score....
[INFO] 2021-01-25 16:59:07 > Calculating Inception Score....
[INFO] 2021-01-25 16:59:40 > Calculate F_beta Score....
[INFO] 2021-01-25 17:07:12 > Calculate Accuracies....
[INFO] 2021-01-25 17:07:58 > Calculate Accuracies....
[INFO] 2021-01-25 17:11:40 > F_8 score (Step: 6000, Using valid images): 0.436139254267906
[INFO] 2021-01-25 17:11:40 > F_1/8 score (Step: 6000, Using valid images): 0.628956696279501
[INFO] 2021-01-25 17:11:40 > FID score (Step: 6000, Using valid moments): 84.5425009128017
[INFO] 2021-01-25 17:11:40 > Inception score (Step: 6000, 50000 generated images): 10.085926055908203
[INFO] 2021-01-25 17:11:40 > Best FID score (Step: 6000, Using valid moments): 84.5425009128017
[INFO] 2021-01-25 17:12:30 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 17:14:53 > Step: 6100 Progress: 3.0% Elapsed: 3:10:19 temperature: 1.0 ada_p: No Discriminator_loss: 6.13412 Generator_loss: 5.31008
[INFO] 2021-01-25 17:17:16 > Step: 6200 Progress: 3.1% Elapsed: 3:12:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.92341 Generator_loss: 5.14033
[INFO] 2021-01-25 17:19:39 > Step: 6300 Progress: 3.1% Elapsed: 3:15:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.79096 Generator_loss: 5.29028
[INFO] 2021-01-25 17:22:02 > Step: 6400 Progress: 3.2% Elapsed: 3:17:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.73053 Generator_loss: 5.58725
[INFO] 2021-01-25 17:24:24 > Step: 6500 Progress: 3.2% Elapsed: 3:19:51 temperature: 1.0 ada_p: No Discriminator_loss: 6.08611 Generator_loss: 4.98204
[INFO] 2021-01-25 17:26:47 > Step: 6600 Progress: 3.3% Elapsed: 3:22:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.7025 Generator_loss: 5.39951
[INFO] 2021-01-25 17:29:10 > Step: 6700 Progress: 3.4% Elapsed: 3:24:36 temperature: 1.0 ada_p: No Discriminator_loss: 6.47326 Generator_loss: 5.75662
[INFO] 2021-01-25 17:31:33 > Step: 6800 Progress: 3.4% Elapsed: 3:26:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.84148 Generator_loss: 5.31519
[INFO] 2021-01-25 17:33:55 > Step: 6900 Progress: 3.5% Elapsed: 3:29:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.77793 Generator_loss: 5.31784
[INFO] 2021-01-25 17:36:37 > Step: 7000 Progress: 3.5% Elapsed: 3:32:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.83374 Generator_loss: 5.36872
[INFO] 2021-01-25 17:39:01 > Step: 7100 Progress: 3.5% Elapsed: 3:34:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.91654 Generator_loss: 5.24719
[INFO] 2021-01-25 17:41:25 > Step: 7200 Progress: 3.6% Elapsed: 3:36:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.61214 Generator_loss: 5.70532
[INFO] 2021-01-25 17:43:48 > Step: 7300 Progress: 3.6% Elapsed: 3:39:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.6763 Generator_loss: 5.60023
[INFO] 2021-01-25 17:46:12 > Step: 7400 Progress: 3.7% Elapsed: 3:41:38 temperature: 1.0 ada_p: No Discriminator_loss: 6.22234 Generator_loss: 5.4123
[INFO] 2021-01-25 17:48:36 > Step: 7500 Progress: 3.8% Elapsed: 3:44:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.82373 Generator_loss: 5.21249
[INFO] 2021-01-25 17:51:02 > Step: 7600 Progress: 3.8% Elapsed: 3:46:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.71777 Generator_loss: 5.47475
[INFO] 2021-01-25 17:53:26 > Step: 7700 Progress: 3.9% Elapsed: 3:48:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.59511 Generator_loss: 5.3361
[INFO] 2021-01-25 17:55:49 > Step: 7800 Progress: 3.9% Elapsed: 3:51:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.9097 Generator_loss: 5.46198
[INFO] 2021-01-25 17:58:13 > Step: 7900 Progress: 4.0% Elapsed: 3:53:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.88377 Generator_loss: 5.5487
[INFO] 2021-01-25 18:00:37 > Step: 8000 Progress: 4.0% Elapsed: 3:56:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.75126 Generator_loss: 5.51664
[INFO] 2021-01-25 18:00:37 > Start Evaluation (8000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 18:00:37 > Calculating FID Score....
[INFO] 2021-01-25 18:01:29 > Calculating Inception Score....
[INFO] 2021-01-25 18:02:02 > Calculate F_beta Score....
[INFO] 2021-01-25 18:10:04 > Calculate Accuracies....
[INFO] 2021-01-25 18:10:50 > Calculate Accuracies....
[INFO] 2021-01-25 18:14:31 > F_8 score (Step: 8000, Using valid images): 0.499150553440119
[INFO] 2021-01-25 18:14:31 > F_1/8 score (Step: 8000, Using valid images): 0.7017126053788506
[INFO] 2021-01-25 18:14:31 > FID score (Step: 8000, Using valid moments): 76.4012310839405
[INFO] 2021-01-25 18:14:31 > Inception score (Step: 8000, 50000 generated images): 10.856836318969727
[INFO] 2021-01-25 18:14:31 > Best FID score (Step: 8000, Using valid moments): 76.4012310839405
[INFO] 2021-01-25 18:15:25 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 18:17:48 > Step: 8100 Progress: 4.0% Elapsed: 4:13:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.8748 Generator_loss: 5.32266
[INFO] 2021-01-25 18:20:11 > Step: 8200 Progress: 4.1% Elapsed: 4:15:37 temperature: 1.0 ada_p: No Discriminator_loss: 6.00821 Generator_loss: 5.42934
[INFO] 2021-01-25 18:22:34 > Step: 8300 Progress: 4.2% Elapsed: 4:18:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.60067 Generator_loss: 5.47937
[INFO] 2021-01-25 18:24:57 > Step: 8400 Progress: 4.2% Elapsed: 4:20:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.74714 Generator_loss: 5.65711
[INFO] 2021-01-25 18:27:19 > Step: 8500 Progress: 4.2% Elapsed: 4:22:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.68479 Generator_loss: 5.77658
[INFO] 2021-01-25 18:29:43 > Step: 8600 Progress: 4.3% Elapsed: 4:25:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.75231 Generator_loss: 5.40496
[INFO] 2021-01-25 18:32:06 > Step: 8700 Progress: 4.3% Elapsed: 4:27:32 temperature: 1.0 ada_p: No Discriminator_loss: 6.04285 Generator_loss: 5.65689
[INFO] 2021-01-25 18:34:29 > Step: 8800 Progress: 4.4% Elapsed: 4:29:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.71455 Generator_loss: 5.5438
[INFO] 2021-01-25 18:36:53 > Step: 8900 Progress: 4.5% Elapsed: 4:32:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.73154 Generator_loss: 5.41329
[INFO] 2021-01-25 18:39:37 > Step: 9000 Progress: 4.5% Elapsed: 4:35:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.73971 Generator_loss: 5.29877
[INFO] 2021-01-25 18:42:01 > Step: 9100 Progress: 4.5% Elapsed: 4:37:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.57823 Generator_loss: 5.61237
[INFO] 2021-01-25 18:44:25 > Step: 9200 Progress: 4.6% Elapsed: 4:39:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.79391 Generator_loss: 5.53674
[INFO] 2021-01-25 18:46:49 > Step: 9300 Progress: 4.7% Elapsed: 4:42:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.59153 Generator_loss: 5.52493
[INFO] 2021-01-25 18:49:13 > Step: 9400 Progress: 4.7% Elapsed: 4:44:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.94404 Generator_loss: 5.25142
[INFO] 2021-01-25 18:51:37 > Step: 9500 Progress: 4.8% Elapsed: 4:47:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.66062 Generator_loss: 5.59601
[INFO] 2021-01-25 18:54:02 > Step: 9600 Progress: 4.8% Elapsed: 4:49:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.98994 Generator_loss: 5.42603
[INFO] 2021-01-25 18:56:26 > Step: 9700 Progress: 4.9% Elapsed: 4:51:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.70398 Generator_loss: 5.63057
[INFO] 2021-01-25 18:58:50 > Step: 9800 Progress: 4.9% Elapsed: 4:54:16 temperature: 1.0 ada_p: No Discriminator_loss: 6.18237 Generator_loss: 5.48517
[INFO] 2021-01-25 19:01:14 > Step: 9900 Progress: 5.0% Elapsed: 4:56:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.63578 Generator_loss: 5.6006
[INFO] 2021-01-25 19:03:38 > Step: 10000 Progress: 5.0% Elapsed: 4:59:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.94065 Generator_loss: 5.55082
[INFO] 2021-01-25 19:03:39 > Start Evaluation (10000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 19:03:39 > Calculating FID Score....
[INFO] 2021-01-25 19:04:32 > Calculating Inception Score....
[INFO] 2021-01-25 19:05:05 > Calculate F_beta Score....
[INFO] 2021-01-25 19:13:14 > Calculate Accuracies....
[INFO] 2021-01-25 19:14:00 > Calculate Accuracies....
[INFO] 2021-01-25 19:17:41 > F_8 score (Step: 10000, Using valid images): 0.4717812503127224
[INFO] 2021-01-25 19:17:41 > F_1/8 score (Step: 10000, Using valid images): 0.7331842523717714
[INFO] 2021-01-25 19:17:41 > FID score (Step: 10000, Using valid moments): 72.5702853792119
[INFO] 2021-01-25 19:17:41 > Inception score (Step: 10000, 50000 generated images): 11.326031684875488
[INFO] 2021-01-25 19:17:41 > Best FID score (Step: 10000, Using valid moments): 72.5702853792119
[INFO] 2021-01-25 19:18:31 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 19:20:57 > Step: 10100 Progress: 5.1% Elapsed: 5:16:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.56811 Generator_loss: 5.93782
[INFO] 2021-01-25 19:23:20 > Step: 10200 Progress: 5.1% Elapsed: 5:18:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.80573 Generator_loss: 5.42363
[INFO] 2021-01-25 19:25:44 > Step: 10300 Progress: 5.1% Elapsed: 5:21:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.63494 Generator_loss: 5.67807
[INFO] 2021-01-25 19:28:26 > Step: 10400 Progress: 5.2% Elapsed: 5:23:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.48781 Generator_loss: 5.46971
[INFO] 2021-01-25 19:30:49 > Step: 10500 Progress: 5.2% Elapsed: 5:26:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.63792 Generator_loss: 5.61607
[INFO] 2021-01-25 19:33:13 > Step: 10600 Progress: 5.3% Elapsed: 5:28:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.71861 Generator_loss: 5.57831
[INFO] 2021-01-25 19:35:36 > Step: 10700 Progress: 5.3% Elapsed: 5:31:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.60721 Generator_loss: 5.56475
[INFO] 2021-01-25 19:38:00 > Step: 10800 Progress: 5.4% Elapsed: 5:33:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.59794 Generator_loss: 5.68855
[INFO] 2021-01-25 19:40:24 > Step: 10900 Progress: 5.5% Elapsed: 5:35:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.91821 Generator_loss: 6.11675
[INFO] 2021-01-25 19:42:47 > Step: 11000 Progress: 5.5% Elapsed: 5:38:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.63763 Generator_loss: 5.39635
[INFO] 2021-01-25 19:45:11 > Step: 11100 Progress: 5.5% Elapsed: 5:40:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.72454 Generator_loss: 5.39226
[INFO] 2021-01-25 19:47:35 > Step: 11200 Progress: 5.6% Elapsed: 5:43:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.90847 Generator_loss: 5.56244
[INFO] 2021-01-25 19:49:59 > Step: 11300 Progress: 5.7% Elapsed: 5:45:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.80114 Generator_loss: 5.69223
[INFO] 2021-01-25 19:52:22 > Step: 11400 Progress: 5.7% Elapsed: 5:47:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.90001 Generator_loss: 5.44918
[INFO] 2021-01-25 19:54:47 > Step: 11500 Progress: 5.8% Elapsed: 5:50:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.63113 Generator_loss: 5.51861
[INFO] 2021-01-25 19:57:10 > Step: 11600 Progress: 5.8% Elapsed: 5:52:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.44435 Generator_loss: 5.68091
[INFO] 2021-01-25 19:59:34 > Step: 11700 Progress: 5.9% Elapsed: 5:55:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.84292 Generator_loss: 5.51262
[INFO] 2021-01-25 20:01:58 > Step: 11800 Progress: 5.9% Elapsed: 5:57:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.63082 Generator_loss: 5.63358
[INFO] 2021-01-25 20:04:22 > Step: 11900 Progress: 5.9% Elapsed: 5:59:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.75587 Generator_loss: 5.64871
[INFO] 2021-01-25 20:06:46 > Step: 12000 Progress: 6.0% Elapsed: 6:02:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.63961 Generator_loss: 5.69251
[INFO] 2021-01-25 20:06:46 > Start Evaluation (12000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 20:06:46 > Calculating FID Score....
[INFO] 2021-01-25 20:07:37 > Calculating Inception Score....
[INFO] 2021-01-25 20:08:10 > Calculate F_beta Score....
[INFO] 2021-01-25 20:16:05 > Calculate Accuracies....
[INFO] 2021-01-25 20:16:50 > Calculate Accuracies....
[INFO] 2021-01-25 20:20:34 > F_8 score (Step: 12000, Using valid images): 0.5170014839464901
[INFO] 2021-01-25 20:20:34 > F_1/8 score (Step: 12000, Using valid images): 0.7562941377869133
[INFO] 2021-01-25 20:20:34 > FID score (Step: 12000, Using valid moments): 67.88407915155346
[INFO] 2021-01-25 20:20:34 > Inception score (Step: 12000, 50000 generated images): 12.110555648803711
[INFO] 2021-01-25 20:20:34 > Best FID score (Step: 12000, Using valid moments): 67.88407915155346
[INFO] 2021-01-25 20:21:28 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 20:23:51 > Step: 12100 Progress: 6.0% Elapsed: 6:19:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.81274 Generator_loss: 5.34973
[INFO] 2021-01-25 20:26:14 > Step: 12200 Progress: 6.1% Elapsed: 6:21:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.50896 Generator_loss: 5.68229
[INFO] 2021-01-25 20:28:37 > Step: 12300 Progress: 6.2% Elapsed: 6:24:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.77072 Generator_loss: 5.70675
[INFO] 2021-01-25 20:30:59 > Step: 12400 Progress: 6.2% Elapsed: 6:26:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.53447 Generator_loss: 5.60799
[INFO] 2021-01-25 20:33:22 > Step: 12500 Progress: 6.2% Elapsed: 6:28:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.77912 Generator_loss: 5.49256
[INFO] 2021-01-25 20:36:15 > Step: 12600 Progress: 6.3% Elapsed: 6:31:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.79797 Generator_loss: 5.57717
[INFO] 2021-01-25 20:38:38 > Step: 12700 Progress: 6.3% Elapsed: 6:34:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.55056 Generator_loss: 5.64841
[INFO] 2021-01-25 20:41:02 > Step: 12800 Progress: 6.4% Elapsed: 6:36:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.64324 Generator_loss: 6.46401
[INFO] 2021-01-25 20:43:26 > Step: 12900 Progress: 6.5% Elapsed: 6:38:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.60463 Generator_loss: 5.79411
[INFO] 2021-01-25 20:45:49 > Step: 13000 Progress: 6.5% Elapsed: 6:41:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.60806 Generator_loss: 5.3473
[INFO] 2021-01-25 20:48:13 > Step: 13100 Progress: 6.6% Elapsed: 6:43:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.71158 Generator_loss: 5.7891
[INFO] 2021-01-25 20:50:37 > Step: 13200 Progress: 6.6% Elapsed: 6:46:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.90228 Generator_loss: 5.48323
[INFO] 2021-01-25 20:53:01 > Step: 13300 Progress: 6.7% Elapsed: 6:48:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.73218 Generator_loss: 5.68646
[INFO] 2021-01-25 20:55:25 > Step: 13400 Progress: 6.7% Elapsed: 6:50:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.47626 Generator_loss: 5.69476
[INFO] 2021-01-25 20:57:49 > Step: 13500 Progress: 6.8% Elapsed: 6:53:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.52072 Generator_loss: 5.5985
[INFO] 2021-01-25 21:00:13 > Step: 13600 Progress: 6.8% Elapsed: 6:55:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.72129 Generator_loss: 5.36918
[INFO] 2021-01-25 21:02:37 > Step: 13700 Progress: 6.9% Elapsed: 6:58:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.67762 Generator_loss: 5.53258
[INFO] 2021-01-25 21:05:01 > Step: 13800 Progress: 6.9% Elapsed: 7:00:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.58144 Generator_loss: 5.6923
[INFO] 2021-01-25 21:07:25 > Step: 13900 Progress: 7.0% Elapsed: 7:02:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.43171 Generator_loss: 5.75049
[INFO] 2021-01-25 21:09:49 > Step: 14000 Progress: 7.0% Elapsed: 7:05:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.59383 Generator_loss: 5.52598
[INFO] 2021-01-25 21:09:49 > Start Evaluation (14000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 21:09:49 > Calculating FID Score....
[INFO] 2021-01-25 21:10:39 > Calculating Inception Score....
[INFO] 2021-01-25 21:11:12 > Calculate F_beta Score....
[INFO] 2021-01-25 21:18:35 > Calculate Accuracies....
[INFO] 2021-01-25 21:19:20 > Calculate Accuracies....
[INFO] 2021-01-25 21:23:01 > F_8 score (Step: 14000, Using valid images): 0.5258017454948135
[INFO] 2021-01-25 21:23:01 > F_1/8 score (Step: 14000, Using valid images): 0.7705162215906955
[INFO] 2021-01-25 21:23:01 > FID score (Step: 14000, Using valid moments): 66.26140270352232
[INFO] 2021-01-25 21:23:01 > Inception score (Step: 14000, 50000 generated images): 12.343955039978027
[INFO] 2021-01-25 21:23:01 > Best FID score (Step: 14000, Using valid moments): 66.26140270352232
[INFO] 2021-01-25 21:23:51 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 21:26:14 > Step: 14100 Progress: 7.0% Elapsed: 7:21:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.80998 Generator_loss: 5.54337
[INFO] 2021-01-25 21:28:37 > Step: 14200 Progress: 7.1% Elapsed: 7:24:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.72996 Generator_loss: 5.61159
[INFO] 2021-01-25 21:31:01 > Step: 14300 Progress: 7.1% Elapsed: 7:26:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.63325 Generator_loss: 5.71157
[INFO] 2021-01-25 21:33:24 > Step: 14400 Progress: 7.2% Elapsed: 7:28:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.55179 Generator_loss: 5.47526
[INFO] 2021-01-25 21:35:48 > Step: 14500 Progress: 7.2% Elapsed: 7:31:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.3725 Generator_loss: 5.937
[INFO] 2021-01-25 21:38:35 > Step: 14600 Progress: 7.3% Elapsed: 7:34:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.43114 Generator_loss: 6.46338
[INFO] 2021-01-25 21:41:00 > Step: 14700 Progress: 7.3% Elapsed: 7:36:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.69563 Generator_loss: 5.59526
[INFO] 2021-01-25 21:43:24 > Step: 14800 Progress: 7.4% Elapsed: 7:38:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.87632 Generator_loss: 5.52994
[INFO] 2021-01-25 21:45:48 > Step: 14900 Progress: 7.4% Elapsed: 7:41:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.60501 Generator_loss: 5.69218
[INFO] 2021-01-25 21:48:12 > Step: 15000 Progress: 7.5% Elapsed: 7:43:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.36425 Generator_loss: 5.71415
[INFO] 2021-01-25 21:50:39 > Step: 15100 Progress: 7.5% Elapsed: 7:46:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.93578 Generator_loss: 5.57743
[INFO] 2021-01-25 21:53:04 > Step: 15200 Progress: 7.6% Elapsed: 7:48:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.43844 Generator_loss: 5.74037
[INFO] 2021-01-25 21:55:28 > Step: 15300 Progress: 7.6% Elapsed: 7:50:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.63401 Generator_loss: 5.69042
[INFO] 2021-01-25 21:57:52 > Step: 15400 Progress: 7.7% Elapsed: 7:53:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.59502 Generator_loss: 5.55447
[INFO] 2021-01-25 22:00:16 > Step: 15500 Progress: 7.8% Elapsed: 7:55:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.54843 Generator_loss: 5.54287
[INFO] 2021-01-25 22:02:41 > Step: 15600 Progress: 7.8% Elapsed: 7:58:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.45321 Generator_loss: 5.79794
[INFO] 2021-01-25 22:05:05 > Step: 15700 Progress: 7.8% Elapsed: 8:00:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.39792 Generator_loss: 5.64079
[INFO] 2021-01-25 22:07:29 > Step: 15800 Progress: 7.9% Elapsed: 8:02:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.74194 Generator_loss: 5.54902
[INFO] 2021-01-25 22:09:53 > Step: 15900 Progress: 8.0% Elapsed: 8:05:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.30171 Generator_loss: 5.94958
[INFO] 2021-01-25 22:12:16 > Step: 16000 Progress: 8.0% Elapsed: 8:07:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.57587 Generator_loss: 5.70308
[INFO] 2021-01-25 22:12:16 > Start Evaluation (16000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 22:12:16 > Calculating FID Score....
[INFO] 2021-01-25 22:13:08 > Calculating Inception Score....
[INFO] 2021-01-25 22:13:41 > Calculate F_beta Score....
[INFO] 2021-01-25 22:20:56 > Calculate Accuracies....
[INFO] 2021-01-25 22:21:41 > Calculate Accuracies....
[INFO] 2021-01-25 22:25:24 > F_8 score (Step: 16000, Using valid images): 0.5437438878919805
[INFO] 2021-01-25 22:25:24 > F_1/8 score (Step: 16000, Using valid images): 0.8148765276193276
[INFO] 2021-01-25 22:25:24 > FID score (Step: 16000, Using valid moments): 62.81582875911613
[INFO] 2021-01-25 22:25:24 > Inception score (Step: 16000, 50000 generated images): 13.139592170715332
[INFO] 2021-01-25 22:25:24 > Best FID score (Step: 16000, Using valid moments): 62.81582875911613
[INFO] 2021-01-25 22:26:12 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 22:28:36 > Step: 16100 Progress: 8.1% Elapsed: 8:24:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.5063 Generator_loss: 5.62515
[INFO] 2021-01-25 22:30:59 > Step: 16200 Progress: 8.1% Elapsed: 8:26:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.52515 Generator_loss: 5.81411
[INFO] 2021-01-25 22:33:23 > Step: 16300 Progress: 8.2% Elapsed: 8:28:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.55576 Generator_loss: 5.75525
[INFO] 2021-01-25 22:36:08 > Step: 16400 Progress: 8.2% Elapsed: 8:31:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.51785 Generator_loss: 5.69091
[INFO] 2021-01-25 22:38:32 > Step: 16500 Progress: 8.2% Elapsed: 8:33:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.63828 Generator_loss: 5.57292
[INFO] 2021-01-25 22:40:57 > Step: 16600 Progress: 8.3% Elapsed: 8:36:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.56798 Generator_loss: 5.69276
[INFO] 2021-01-25 22:43:21 > Step: 16700 Progress: 8.3% Elapsed: 8:38:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.50602 Generator_loss: 5.84886
[INFO] 2021-01-25 22:45:45 > Step: 16800 Progress: 8.4% Elapsed: 8:41:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.39683 Generator_loss: 5.89822
[INFO] 2021-01-25 22:48:09 > Step: 16900 Progress: 8.5% Elapsed: 8:43:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.36064 Generator_loss: 6.56926
[INFO] 2021-01-25 22:50:33 > Step: 17000 Progress: 8.5% Elapsed: 8:45:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.56352 Generator_loss: 5.6494
[INFO] 2021-01-25 22:52:57 > Step: 17100 Progress: 8.6% Elapsed: 8:48:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.26967 Generator_loss: 6.02869
[INFO] 2021-01-25 22:55:21 > Step: 17200 Progress: 8.6% Elapsed: 8:50:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.62035 Generator_loss: 5.56194
[INFO] 2021-01-25 22:57:45 > Step: 17300 Progress: 8.6% Elapsed: 8:53:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.43408 Generator_loss: 5.78886
[INFO] 2021-01-25 23:00:09 > Step: 17400 Progress: 8.7% Elapsed: 8:55:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.50969 Generator_loss: 6.03943
[INFO] 2021-01-25 23:02:33 > Step: 17500 Progress: 8.8% Elapsed: 8:58:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.31539 Generator_loss: 5.80856
[INFO] 2021-01-25 23:05:00 > Step: 17600 Progress: 8.8% Elapsed: 9:00:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.314 Generator_loss: 5.92797
[INFO] 2021-01-25 23:07:25 > Step: 17700 Progress: 8.8% Elapsed: 9:02:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.75533 Generator_loss: 5.51374
[INFO] 2021-01-25 23:09:49 > Step: 17800 Progress: 8.9% Elapsed: 9:05:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.68888 Generator_loss: 5.62533
[INFO] 2021-01-25 23:12:13 > Step: 17900 Progress: 8.9% Elapsed: 9:07:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.68978 Generator_loss: 5.68123
[INFO] 2021-01-25 23:14:37 > Step: 18000 Progress: 9.0% Elapsed: 9:10:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.32743 Generator_loss: 5.77646
[INFO] 2021-01-25 23:14:37 > Start Evaluation (18000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 23:14:37 > Calculating FID Score....
[INFO] 2021-01-25 23:15:28 > Calculating Inception Score....
[INFO] 2021-01-25 23:16:01 > Calculate F_beta Score....
[INFO] 2021-01-25 23:23:25 > Calculate Accuracies....
[INFO] 2021-01-25 23:24:11 > Calculate Accuracies....
[INFO] 2021-01-25 23:27:53 > F_8 score (Step: 18000, Using valid images): 0.5219575409523035
[INFO] 2021-01-25 23:27:53 > F_1/8 score (Step: 18000, Using valid images): 0.8116541067684246
[INFO] 2021-01-25 23:27:53 > FID score (Step: 18000, Using valid moments): 61.77246676092682
[INFO] 2021-01-25 23:27:53 > Inception score (Step: 18000, 50000 generated images): 13.275030136108398
[INFO] 2021-01-25 23:27:53 > Best FID score (Step: 18000, Using valid moments): 61.77246676092682
[INFO] 2021-01-25 23:28:42 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-25 23:31:05 > Step: 18100 Progress: 9.0% Elapsed: 9:26:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.38611 Generator_loss: 5.75047
[INFO] 2021-01-25 23:33:28 > Step: 18200 Progress: 9.1% Elapsed: 9:28:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.5255 Generator_loss: 5.46544
[INFO] 2021-01-25 23:35:52 > Step: 18300 Progress: 9.2% Elapsed: 9:31:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.79167 Generator_loss: 5.83278
[INFO] 2021-01-25 23:38:15 > Step: 18400 Progress: 9.2% Elapsed: 9:33:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.43563 Generator_loss: 5.64993
[INFO] 2021-01-25 23:40:39 > Step: 18500 Progress: 9.2% Elapsed: 9:36:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.57872 Generator_loss: 5.7447
[INFO] 2021-01-25 23:43:02 > Step: 18600 Progress: 9.3% Elapsed: 9:38:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.56866 Generator_loss: 5.60676
[INFO] 2021-01-25 23:45:26 > Step: 18700 Progress: 9.3% Elapsed: 9:40:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.72864 Generator_loss: 5.54455
[INFO] 2021-01-25 23:47:50 > Step: 18800 Progress: 9.4% Elapsed: 9:43:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.43798 Generator_loss: 5.90003
[INFO] 2021-01-25 23:50:13 > Step: 18900 Progress: 9.4% Elapsed: 9:45:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.57471 Generator_loss: 5.59449
[INFO] 2021-01-25 23:52:37 > Step: 19000 Progress: 9.5% Elapsed: 9:48:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.35506 Generator_loss: 5.79187
[INFO] 2021-01-25 23:55:00 > Step: 19100 Progress: 9.6% Elapsed: 9:50:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.23922 Generator_loss: 5.91727
[INFO] 2021-01-25 23:57:48 > Step: 19200 Progress: 9.6% Elapsed: 9:53:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.33694 Generator_loss: 5.83591
[INFO] 2021-01-26 00:00:12 > Step: 19300 Progress: 9.7% Elapsed: 9:55:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.17786 Generator_loss: 6.14256
[INFO] 2021-01-26 00:02:37 > Step: 19400 Progress: 9.7% Elapsed: 9:58:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.30891 Generator_loss: 5.8445
[INFO] 2021-01-26 00:05:01 > Step: 19500 Progress: 9.8% Elapsed: 10:00:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.55347 Generator_loss: 5.74526
[INFO] 2021-01-26 00:07:24 > Step: 19600 Progress: 9.8% Elapsed: 10:02:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.4471 Generator_loss: 5.62525
[INFO] 2021-01-26 00:09:49 > Step: 19700 Progress: 9.8% Elapsed: 10:05:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.26996 Generator_loss: 5.67402
[INFO] 2021-01-26 00:12:13 > Step: 19800 Progress: 9.9% Elapsed: 10:07:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.57552 Generator_loss: 5.63694
[INFO] 2021-01-26 00:14:37 > Step: 19900 Progress: 10.0% Elapsed: 10:10:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.57127 Generator_loss: 5.82162
[INFO] 2021-01-26 00:17:01 > Step: 20000 Progress: 10.0% Elapsed: 10:12:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.46379 Generator_loss: 5.91892
[INFO] 2021-01-26 00:17:01 > Start Evaluation (20000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 00:17:01 > Calculating FID Score....
[INFO] 2021-01-26 00:17:54 > Calculating Inception Score....
[INFO] 2021-01-26 00:18:28 > Calculate F_beta Score....
[INFO] 2021-01-26 00:25:43 > Calculate Accuracies....
[INFO] 2021-01-26 00:26:28 > Calculate Accuracies....
[INFO] 2021-01-26 00:30:10 > F_8 score (Step: 20000, Using valid images): 0.5614751188336911
[INFO] 2021-01-26 00:30:10 > F_1/8 score (Step: 20000, Using valid images): 0.8168210238977017
[INFO] 2021-01-26 00:30:10 > FID score (Step: 20000, Using valid moments): 56.98214715468623
[INFO] 2021-01-26 00:30:10 > Inception score (Step: 20000, 50000 generated images): 13.305340766906738
[INFO] 2021-01-26 00:30:10 > Best FID score (Step: 20000, Using valid moments): 56.98214715468623
[INFO] 2021-01-26 00:30:59 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 00:33:26 > Step: 20100 Progress: 10.1% Elapsed: 10:28:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.76483 Generator_loss: 5.41369
[INFO] 2021-01-26 00:35:50 > Step: 20200 Progress: 10.1% Elapsed: 10:31:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.398 Generator_loss: 5.78248
[INFO] 2021-01-26 00:38:13 > Step: 20300 Progress: 10.2% Elapsed: 10:33:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.22214 Generator_loss: 5.9255
[INFO] 2021-01-26 00:40:37 > Step: 20400 Progress: 10.2% Elapsed: 10:36:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.29237 Generator_loss: 5.89711
[INFO] 2021-01-26 00:43:00 > Step: 20500 Progress: 10.2% Elapsed: 10:38:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.61611 Generator_loss: 5.57787
[INFO] 2021-01-26 00:45:44 > Step: 20600 Progress: 10.3% Elapsed: 10:41:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.31248 Generator_loss: 6.11403
[INFO] 2021-01-26 00:48:08 > Step: 20700 Progress: 10.3% Elapsed: 10:43:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.42505 Generator_loss: 5.84502
[INFO] 2021-01-26 00:50:32 > Step: 20800 Progress: 10.4% Elapsed: 10:45:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.32435 Generator_loss: 5.90383
[INFO] 2021-01-26 00:52:56 > Step: 20900 Progress: 10.4% Elapsed: 10:48:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.49662 Generator_loss: 5.63539
[INFO] 2021-01-26 00:55:20 > Step: 21000 Progress: 10.5% Elapsed: 10:50:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.49924 Generator_loss: 5.89209
[INFO] 2021-01-26 00:57:43 > Step: 21100 Progress: 10.5% Elapsed: 10:53:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.25684 Generator_loss: 6.11417
[INFO] 2021-01-26 01:00:07 > Step: 21200 Progress: 10.6% Elapsed: 10:55:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.40053 Generator_loss: 5.85049
[INFO] 2021-01-26 01:02:32 > Step: 21300 Progress: 10.7% Elapsed: 10:57:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.64141 Generator_loss: 5.52033
[INFO] 2021-01-26 01:04:56 > Step: 21400 Progress: 10.7% Elapsed: 11:00:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.29173 Generator_loss: 5.86219
[INFO] 2021-01-26 01:07:20 > Step: 21500 Progress: 10.8% Elapsed: 11:02:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.43541 Generator_loss: 5.64147
[INFO] 2021-01-26 01:09:44 > Step: 21600 Progress: 10.8% Elapsed: 11:05:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.44669 Generator_loss: 5.82635
[INFO] 2021-01-26 01:12:08 > Step: 21700 Progress: 10.8% Elapsed: 11:07:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.16245 Generator_loss: 6.60945
[INFO] 2021-01-26 01:14:32 > Step: 21800 Progress: 10.9% Elapsed: 11:09:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.58844 Generator_loss: 5.55299
[INFO] 2021-01-26 01:16:56 > Step: 21900 Progress: 10.9% Elapsed: 11:12:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.52793 Generator_loss: 5.95084
[INFO] 2021-01-26 01:19:21 > Step: 22000 Progress: 11.0% Elapsed: 11:14:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.34427 Generator_loss: 5.97647
[INFO] 2021-01-26 01:19:21 > Start Evaluation (22000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 01:19:21 > Calculating FID Score....
[INFO] 2021-01-26 01:20:12 > Calculating Inception Score....
[INFO] 2021-01-26 01:20:46 > Calculate F_beta Score....
[INFO] 2021-01-26 01:28:45 > Calculate Accuracies....
[INFO] 2021-01-26 01:29:31 > Calculate Accuracies....
[INFO] 2021-01-26 01:33:15 > F_8 score (Step: 22000, Using valid images): 0.5679662397208682
[INFO] 2021-01-26 01:33:15 > F_1/8 score (Step: 22000, Using valid images): 0.8502479417676226
[INFO] 2021-01-26 01:33:15 > FID score (Step: 22000, Using valid moments): 53.38856439164226
[INFO] 2021-01-26 01:33:15 > Inception score (Step: 22000, 50000 generated images): 13.934990882873535
[INFO] 2021-01-26 01:33:15 > Best FID score (Step: 22000, Using valid moments): 53.38856439164226
[INFO] 2021-01-26 01:34:04 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 01:36:27 > Step: 22100 Progress: 11.1% Elapsed: 11:31:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.51503 Generator_loss: 5.64177
[INFO] 2021-01-26 01:38:50 > Step: 22200 Progress: 11.1% Elapsed: 11:34:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.37748 Generator_loss: 5.66328
[INFO] 2021-01-26 01:41:14 > Step: 22300 Progress: 11.2% Elapsed: 11:36:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.37897 Generator_loss: 5.74071
[INFO] 2021-01-26 01:43:37 > Step: 22400 Progress: 11.2% Elapsed: 11:39:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.30918 Generator_loss: 5.9209
[INFO] 2021-01-26 01:46:01 > Step: 22500 Progress: 11.2% Elapsed: 11:41:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.27168 Generator_loss: 6.07576
[INFO] 2021-01-26 01:48:50 > Step: 22600 Progress: 11.3% Elapsed: 11:44:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.19895 Generator_loss: 6.34962
[INFO] 2021-01-26 01:51:14 > Step: 22700 Progress: 11.3% Elapsed: 11:46:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.76728 Generator_loss: 5.60982
[INFO] 2021-01-26 01:53:39 > Step: 22800 Progress: 11.4% Elapsed: 11:49:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.46907 Generator_loss: 5.54418
[INFO] 2021-01-26 01:56:04 > Step: 22900 Progress: 11.5% Elapsed: 11:51:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.61666 Generator_loss: 5.89215
[INFO] 2021-01-26 01:58:28 > Step: 23000 Progress: 11.5% Elapsed: 11:53:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.44361 Generator_loss: 5.77433
[INFO] 2021-01-26 02:00:52 > Step: 23100 Progress: 11.6% Elapsed: 11:56:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.38111 Generator_loss: 5.77577
[INFO] 2021-01-26 02:03:16 > Step: 23200 Progress: 11.6% Elapsed: 11:58:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.42938 Generator_loss: 5.6276
[INFO] 2021-01-26 02:05:40 > Step: 23300 Progress: 11.7% Elapsed: 12:01:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.19033 Generator_loss: 5.89679
[INFO] 2021-01-26 02:08:04 > Step: 23400 Progress: 11.7% Elapsed: 12:03:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.31012 Generator_loss: 6.01574
[INFO] 2021-01-26 02:10:28 > Step: 23500 Progress: 11.8% Elapsed: 12:05:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.12342 Generator_loss: 6.16161
[INFO] 2021-01-26 02:12:52 > Step: 23600 Progress: 11.8% Elapsed: 12:08:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.67015 Generator_loss: 5.45732
[INFO] 2021-01-26 02:15:16 > Step: 23700 Progress: 11.8% Elapsed: 12:10:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.25722 Generator_loss: 5.97447
[INFO] 2021-01-26 02:17:40 > Step: 23800 Progress: 11.9% Elapsed: 12:13:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.41941 Generator_loss: 5.93953
[INFO] 2021-01-26 02:20:05 > Step: 23900 Progress: 11.9% Elapsed: 12:15:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.22581 Generator_loss: 6.07194
[INFO] 2021-01-26 02:22:30 > Step: 24000 Progress: 12.0% Elapsed: 12:17:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.21525 Generator_loss: 5.95636
[INFO] 2021-01-26 02:22:30 > Start Evaluation (24000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 02:22:30 > Calculating FID Score....
[INFO] 2021-01-26 02:23:21 > Calculating Inception Score....
[INFO] 2021-01-26 02:23:55 > Calculate F_beta Score....
[INFO] 2021-01-26 02:31:18 > Calculate Accuracies....
[INFO] 2021-01-26 02:32:04 > Calculate Accuracies....
[INFO] 2021-01-26 02:35:46 > F_8 score (Step: 24000, Using valid images): 0.6181865207513265
[INFO] 2021-01-26 02:35:46 > F_1/8 score (Step: 24000, Using valid images): 0.8561819204010681
[INFO] 2021-01-26 02:35:46 > FID score (Step: 24000, Using valid moments): 49.82560286888429
[INFO] 2021-01-26 02:35:46 > Inception score (Step: 24000, 50000 generated images): 14.567071914672852
[INFO] 2021-01-26 02:35:46 > Best FID score (Step: 24000, Using valid moments): 49.82560286888429
[INFO] 2021-01-26 02:36:35 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 02:38:59 > Step: 24100 Progress: 12.0% Elapsed: 12:34:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.49651 Generator_loss: 5.72445
[INFO] 2021-01-26 02:41:23 > Step: 24200 Progress: 12.1% Elapsed: 12:36:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.1705 Generator_loss: 6.18519
[INFO] 2021-01-26 02:43:46 > Step: 24300 Progress: 12.2% Elapsed: 12:39:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.30946 Generator_loss: 5.83968
[INFO] 2021-01-26 02:46:10 > Step: 24400 Progress: 12.2% Elapsed: 12:41:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.22119 Generator_loss: 5.95652
[INFO] 2021-01-26 02:48:34 > Step: 24500 Progress: 12.2% Elapsed: 12:44:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.13865 Generator_loss: 6.11109
[INFO] 2021-01-26 02:51:17 > Step: 24600 Progress: 12.3% Elapsed: 12:46:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.5811 Generator_loss: 5.63716
[INFO] 2021-01-26 02:53:41 > Step: 24700 Progress: 12.3% Elapsed: 12:49:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.37215 Generator_loss: 5.73448
[INFO] 2021-01-26 02:56:05 > Step: 24800 Progress: 12.4% Elapsed: 12:51:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.4567 Generator_loss: 5.83353
[INFO] 2021-01-26 02:58:29 > Step: 24900 Progress: 12.4% Elapsed: 12:53:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.39198 Generator_loss: 6.00908
[INFO] 2021-01-26 03:00:53 > Step: 25000 Progress: 12.5% Elapsed: 12:56:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.4357 Generator_loss: 5.5546
[INFO] 2021-01-26 03:03:20 > Step: 25100 Progress: 12.6% Elapsed: 12:58:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.37189 Generator_loss: 5.78672
[INFO] 2021-01-26 03:05:44 > Step: 25200 Progress: 12.6% Elapsed: 13:01:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.43131 Generator_loss: 5.70794
[INFO] 2021-01-26 03:08:08 > Step: 25300 Progress: 12.7% Elapsed: 13:03:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.34275 Generator_loss: 5.9192
[INFO] 2021-01-26 03:10:32 > Step: 25400 Progress: 12.7% Elapsed: 13:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.24236 Generator_loss: 5.93145
[INFO] 2021-01-26 03:12:56 > Step: 25500 Progress: 12.8% Elapsed: 13:08:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.31211 Generator_loss: 6.0009
[INFO] 2021-01-26 03:15:21 > Step: 25600 Progress: 12.8% Elapsed: 13:10:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.27316 Generator_loss: 5.96153
[INFO] 2021-01-26 03:17:45 > Step: 25700 Progress: 12.8% Elapsed: 13:13:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.49405 Generator_loss: 5.55083
[INFO] 2021-01-26 03:20:08 > Step: 25800 Progress: 12.9% Elapsed: 13:15:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.74766 Generator_loss: 5.77124
[INFO] 2021-01-26 03:22:32 > Step: 25900 Progress: 13.0% Elapsed: 13:17:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.1837 Generator_loss: 6.29302
[INFO] 2021-01-26 03:24:57 > Step: 26000 Progress: 13.0% Elapsed: 13:20:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.26016 Generator_loss: 6.13074
[INFO] 2021-01-26 03:24:57 > Start Evaluation (26000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 03:24:57 > Calculating FID Score....
[INFO] 2021-01-26 03:25:49 > Calculating Inception Score....
[INFO] 2021-01-26 03:26:23 > Calculate F_beta Score....
[INFO] 2021-01-26 03:33:47 > Calculate Accuracies....
[INFO] 2021-01-26 03:34:32 > Calculate Accuracies....
[INFO] 2021-01-26 03:38:14 > F_8 score (Step: 26000, Using valid images): 0.6041994964773343
[INFO] 2021-01-26 03:38:14 > F_1/8 score (Step: 26000, Using valid images): 0.8414807861421773
[INFO] 2021-01-26 03:38:14 > FID score (Step: 26000, Using valid moments): 47.63830864245898
[INFO] 2021-01-26 03:38:14 > Inception score (Step: 26000, 50000 generated images): 15.133695602416992
[INFO] 2021-01-26 03:38:14 > Best FID score (Step: 26000, Using valid moments): 47.63830864245898
[INFO] 2021-01-26 03:39:04 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 03:41:28 > Step: 26100 Progress: 13.1% Elapsed: 13:36:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.29612 Generator_loss: 5.816
[INFO] 2021-01-26 03:43:52 > Step: 26200 Progress: 13.1% Elapsed: 13:39:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.43613 Generator_loss: 5.83084
[INFO] 2021-01-26 03:46:16 > Step: 26300 Progress: 13.2% Elapsed: 13:41:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.28546 Generator_loss: 5.80847
[INFO] 2021-01-26 03:48:40 > Step: 26400 Progress: 13.2% Elapsed: 13:44:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.3148 Generator_loss: 5.70663
[INFO] 2021-01-26 03:51:03 > Step: 26500 Progress: 13.2% Elapsed: 13:46:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.37731 Generator_loss: 5.85479
[INFO] 2021-01-26 03:53:47 > Step: 26600 Progress: 13.3% Elapsed: 13:49:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.28521 Generator_loss: 6.07512
[INFO] 2021-01-26 03:56:11 > Step: 26700 Progress: 13.4% Elapsed: 13:51:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.34808 Generator_loss: 5.89495
[INFO] 2021-01-26 03:58:35 > Step: 26800 Progress: 13.4% Elapsed: 13:54:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.25427 Generator_loss: 5.67478
[INFO] 2021-01-26 04:00:59 > Step: 26900 Progress: 13.5% Elapsed: 13:56:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.2943 Generator_loss: 5.90462
[INFO] 2021-01-26 04:03:23 > Step: 27000 Progress: 13.5% Elapsed: 13:58:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.36692 Generator_loss: 5.61526
[INFO] 2021-01-26 04:05:47 > Step: 27100 Progress: 13.6% Elapsed: 14:01:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.14505 Generator_loss: 6.4799
[INFO] 2021-01-26 04:08:11 > Step: 27200 Progress: 13.6% Elapsed: 14:03:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.14477 Generator_loss: 6.33927
[INFO] 2021-01-26 04:10:35 > Step: 27300 Progress: 13.7% Elapsed: 14:06:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.34123 Generator_loss: 5.77169
[INFO] 2021-01-26 04:13:00 > Step: 27400 Progress: 13.7% Elapsed: 14:08:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.28681 Generator_loss: 5.478
[INFO] 2021-01-26 04:15:24 > Step: 27500 Progress: 13.8% Elapsed: 14:10:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.47767 Generator_loss: 5.67872
[INFO] 2021-01-26 04:17:50 > Step: 27600 Progress: 13.8% Elapsed: 14:13:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.27138 Generator_loss: 5.57185
[INFO] 2021-01-26 04:20:14 > Step: 27700 Progress: 13.9% Elapsed: 14:15:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.53299 Generator_loss: 5.62146
[INFO] 2021-01-26 04:22:38 > Step: 27800 Progress: 13.9% Elapsed: 14:18:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.53462 Generator_loss: 5.5924
[INFO] 2021-01-26 04:25:03 > Step: 27900 Progress: 14.0% Elapsed: 14:20:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.19905 Generator_loss: 6.09219
[INFO] 2021-01-26 04:27:27 > Step: 28000 Progress: 14.0% Elapsed: 14:22:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.49969 Generator_loss: 5.96781
[INFO] 2021-01-26 04:27:27 > Start Evaluation (28000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 04:27:27 > Calculating FID Score....
[INFO] 2021-01-26 04:28:19 > Calculating Inception Score....
[INFO] 2021-01-26 04:28:54 > Calculate F_beta Score....
[INFO] 2021-01-26 04:36:51 > Calculate Accuracies....
[INFO] 2021-01-26 04:37:37 > Calculate Accuracies....
[INFO] 2021-01-26 04:41:20 > F_8 score (Step: 28000, Using valid images): 0.6057503123212127
[INFO] 2021-01-26 04:41:20 > F_1/8 score (Step: 28000, Using valid images): 0.8655585113046501
[INFO] 2021-01-26 04:41:20 > FID score (Step: 28000, Using valid moments): 45.6528035221736
[INFO] 2021-01-26 04:41:20 > Inception score (Step: 28000, 50000 generated images): 15.496038436889648
[INFO] 2021-01-26 04:41:20 > Best FID score (Step: 28000, Using valid moments): 45.6528035221736
[INFO] 2021-01-26 04:42:17 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 04:45:05 > Step: 28100 Progress: 14.1% Elapsed: 14:40:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.15715 Generator_loss: 6.6094
[INFO] 2021-01-26 04:47:29 > Step: 28200 Progress: 14.1% Elapsed: 14:42:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.25886 Generator_loss: 5.98532
[INFO] 2021-01-26 04:49:53 > Step: 28300 Progress: 14.1% Elapsed: 14:45:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.36333 Generator_loss: 5.83523
[INFO] 2021-01-26 04:52:17 > Step: 28400 Progress: 14.2% Elapsed: 14:47:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.53147 Generator_loss: 5.72187
[INFO] 2021-01-26 04:54:42 > Step: 28500 Progress: 14.2% Elapsed: 14:50:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.18802 Generator_loss: 6.4328
[INFO] 2021-01-26 04:57:06 > Step: 28600 Progress: 14.3% Elapsed: 14:52:33 temperature: 1.0 ada_p: No Discriminator_loss: 5.24154 Generator_loss: 6.43365
[INFO] 2021-01-26 04:59:31 > Step: 28700 Progress: 14.3% Elapsed: 14:54:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.30925 Generator_loss: 5.88661
[INFO] 2021-01-26 05:01:55 > Step: 28800 Progress: 14.4% Elapsed: 14:57:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.75516 Generator_loss: 5.64979
[INFO] 2021-01-26 05:04:20 > Step: 28900 Progress: 14.4% Elapsed: 14:59:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.34836 Generator_loss: 6.00318
[INFO] 2021-01-26 05:06:44 > Step: 29000 Progress: 14.5% Elapsed: 15:02:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.39449 Generator_loss: 5.83623
[INFO] 2021-01-26 05:09:08 > Step: 29100 Progress: 14.5% Elapsed: 15:04:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.38339 Generator_loss: 5.85341
[INFO] 2021-01-26 05:11:32 > Step: 29200 Progress: 14.6% Elapsed: 15:06:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.24457 Generator_loss: 6.1215
[INFO] 2021-01-26 05:13:57 > Step: 29300 Progress: 14.6% Elapsed: 15:09:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.55335 Generator_loss: 5.62249
[INFO] 2021-01-26 05:16:21 > Step: 29400 Progress: 14.7% Elapsed: 15:11:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.26342 Generator_loss: 5.96756
[INFO] 2021-01-26 05:18:45 > Step: 29500 Progress: 14.8% Elapsed: 15:14:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.32355 Generator_loss: 5.80033
[INFO] 2021-01-26 05:21:09 > Step: 29600 Progress: 14.8% Elapsed: 15:16:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.59767 Generator_loss: 5.58401
[INFO] 2021-01-26 05:23:32 > Step: 29700 Progress: 14.8% Elapsed: 15:18:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.29509 Generator_loss: 5.75826
[INFO] 2021-01-26 05:25:56 > Step: 29800 Progress: 14.9% Elapsed: 15:21:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.14017 Generator_loss: 5.94058
[INFO] 2021-01-26 05:28:20 > Step: 29900 Progress: 14.9% Elapsed: 15:23:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.62747 Generator_loss: 5.66303
[INFO] 2021-01-26 05:30:44 > Step: 30000 Progress: 15.0% Elapsed: 15:26:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.31861 Generator_loss: 5.69897
[INFO] 2021-01-26 05:30:44 > Start Evaluation (30000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 05:30:44 > Calculating FID Score....
[INFO] 2021-01-26 05:31:37 > Calculating Inception Score....
[INFO] 2021-01-26 05:32:10 > Calculate F_beta Score....
[INFO] 2021-01-26 05:39:40 > Calculate Accuracies....
[INFO] 2021-01-26 05:40:25 > Calculate Accuracies....
[INFO] 2021-01-26 05:44:07 > F_8 score (Step: 30000, Using valid images): 0.6315403980411558
[INFO] 2021-01-26 05:44:07 > F_1/8 score (Step: 30000, Using valid images): 0.8751391034240847
[INFO] 2021-01-26 05:44:07 > FID score (Step: 30000, Using valid moments): 44.16523483791133
[INFO] 2021-01-26 05:44:07 > Inception score (Step: 30000, 50000 generated images): 15.92078685760498
[INFO] 2021-01-26 05:44:07 > Best FID score (Step: 30000, Using valid moments): 44.16523483791133
[INFO] 2021-01-26 05:44:57 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 05:47:23 > Step: 30100 Progress: 15.0% Elapsed: 15:42:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.14898 Generator_loss: 6.11042
[INFO] 2021-01-26 05:49:47 > Step: 30200 Progress: 15.1% Elapsed: 15:45:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.33515 Generator_loss: 5.82345
[INFO] 2021-01-26 05:52:10 > Step: 30300 Progress: 15.2% Elapsed: 15:47:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.21499 Generator_loss: 5.9571
[INFO] 2021-01-26 05:54:34 > Step: 30400 Progress: 15.2% Elapsed: 15:50:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.74892 Generator_loss: 5.7775
[INFO] 2021-01-26 05:56:57 > Step: 30500 Progress: 15.2% Elapsed: 15:52:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.34751 Generator_loss: 5.12671
[INFO] 2021-01-26 05:59:20 > Step: 30600 Progress: 15.3% Elapsed: 15:54:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.3238 Generator_loss: 5.61207
[INFO] 2021-01-26 06:01:44 > Step: 30700 Progress: 15.3% Elapsed: 15:57:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.25716 Generator_loss: 5.79155
[INFO] 2021-01-26 06:04:08 > Step: 30800 Progress: 15.4% Elapsed: 15:59:34 temperature: 1.0 ada_p: No Discriminator_loss: 5.16499 Generator_loss: 6.06344
[INFO] 2021-01-26 06:06:31 > Step: 30900 Progress: 15.4% Elapsed: 16:01:57 temperature: 1.0 ada_p: No Discriminator_loss: 5.15651 Generator_loss: 5.88702
[INFO] 2021-01-26 06:08:54 > Step: 31000 Progress: 15.5% Elapsed: 16:04:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.2119 Generator_loss: 6.18879
[INFO] 2021-01-26 06:11:49 > Step: 31100 Progress: 15.6% Elapsed: 16:07:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.28415 Generator_loss: 5.81827
[INFO] 2021-01-26 06:14:13 > Step: 31200 Progress: 15.6% Elapsed: 16:09:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.40173 Generator_loss: 6.01317
[INFO] 2021-01-26 06:16:37 > Step: 31300 Progress: 15.7% Elapsed: 16:12:03 temperature: 1.0 ada_p: No Discriminator_loss: 5.4106 Generator_loss: 5.65627
[INFO] 2021-01-26 06:19:01 > Step: 31400 Progress: 15.7% Elapsed: 16:14:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.26845 Generator_loss: 5.92205
[INFO] 2021-01-26 06:21:25 > Step: 31500 Progress: 15.8% Elapsed: 16:16:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.19731 Generator_loss: 5.93993
[INFO] 2021-01-26 06:23:48 > Step: 31600 Progress: 15.8% Elapsed: 16:19:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.22643 Generator_loss: 5.97753
[INFO] 2021-01-26 06:26:12 > Step: 31700 Progress: 15.8% Elapsed: 16:21:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.34935 Generator_loss: 5.60432
[INFO] 2021-01-26 06:28:36 > Step: 31800 Progress: 15.9% Elapsed: 16:24:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.38359 Generator_loss: 5.66382
[INFO] 2021-01-26 06:31:00 > Step: 31900 Progress: 16.0% Elapsed: 16:26:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.28032 Generator_loss: 6.00731
[INFO] 2021-01-26 06:33:24 > Step: 32000 Progress: 16.0% Elapsed: 16:28:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.25848 Generator_loss: 5.92994
[INFO] 2021-01-26 06:33:24 > Start Evaluation (32000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 06:33:24 > Calculating FID Score....
[INFO] 2021-01-26 06:34:15 > Calculating Inception Score....
[INFO] 2021-01-26 06:34:50 > Calculate F_beta Score....
[INFO] 2021-01-26 06:42:13 > Calculate Accuracies....
[INFO] 2021-01-26 06:42:58 > Calculate Accuracies....
[INFO] 2021-01-26 06:46:41 > F_8 score (Step: 32000, Using valid images): 0.6311041862942715
[INFO] 2021-01-26 06:46:41 > F_1/8 score (Step: 32000, Using valid images): 0.8739233684792289
[INFO] 2021-01-26 06:46:41 > FID score (Step: 32000, Using valid moments): 42.89382041501642
[INFO] 2021-01-26 06:46:41 > Inception score (Step: 32000, 50000 generated images): 16.184322357177734
[INFO] 2021-01-26 06:46:41 > Best FID score (Step: 32000, Using valid moments): 42.89382041501642
[INFO] 2021-01-26 06:47:30 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 06:49:54 > Step: 32100 Progress: 16.1% Elapsed: 16:45:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.31783 Generator_loss: 5.85556
[INFO] 2021-01-26 06:52:17 > Step: 32200 Progress: 16.1% Elapsed: 16:47:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.13834 Generator_loss: 5.99407
[INFO] 2021-01-26 06:54:41 > Step: 32300 Progress: 16.2% Elapsed: 16:50:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.42726 Generator_loss: 6.00111
[INFO] 2021-01-26 06:57:04 > Step: 32400 Progress: 16.2% Elapsed: 16:52:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.21569 Generator_loss: 6.52724
[INFO] 2021-01-26 06:59:28 > Step: 32500 Progress: 16.2% Elapsed: 16:54:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.11139 Generator_loss: 6.17417
[INFO] 2021-01-26 07:01:54 > Step: 32600 Progress: 16.3% Elapsed: 16:57:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.16647 Generator_loss: 5.69499
[INFO] 2021-01-26 07:04:17 > Step: 32700 Progress: 16.4% Elapsed: 16:59:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.55534 Generator_loss: 5.85196
[INFO] 2021-01-26 07:06:40 > Step: 32800 Progress: 16.4% Elapsed: 17:02:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.33424 Generator_loss: 5.78773
[INFO] 2021-01-26 07:09:04 > Step: 32900 Progress: 16.4% Elapsed: 17:04:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.19904 Generator_loss: 5.68897
[INFO] 2021-01-26 07:11:48 > Step: 33000 Progress: 16.5% Elapsed: 17:07:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.25968 Generator_loss: 5.68151
[INFO] 2021-01-26 07:14:11 > Step: 33100 Progress: 16.6% Elapsed: 17:09:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.39111 Generator_loss: 5.96554
[INFO] 2021-01-26 07:16:36 > Step: 33200 Progress: 16.6% Elapsed: 17:12:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.21957 Generator_loss: 5.68884
[INFO] 2021-01-26 07:18:59 > Step: 33300 Progress: 16.7% Elapsed: 17:14:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.02418 Generator_loss: 6.19083
[INFO] 2021-01-26 07:21:23 > Step: 33400 Progress: 16.7% Elapsed: 17:16:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.19234 Generator_loss: 5.96712
[INFO] 2021-01-26 07:23:48 > Step: 33500 Progress: 16.8% Elapsed: 17:19:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.33821 Generator_loss: 5.82096
[INFO] 2021-01-26 07:26:12 > Step: 33600 Progress: 16.8% Elapsed: 17:21:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.17832 Generator_loss: 6.5008
[INFO] 2021-01-26 07:28:35 > Step: 33700 Progress: 16.9% Elapsed: 17:24:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.27815 Generator_loss: 5.92583
[INFO] 2021-01-26 07:30:59 > Step: 33800 Progress: 16.9% Elapsed: 17:26:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.49376 Generator_loss: 5.71354
[INFO] 2021-01-26 07:33:23 > Step: 33900 Progress: 17.0% Elapsed: 17:28:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.41429 Generator_loss: 5.80083
[INFO] 2021-01-26 07:35:46 > Step: 34000 Progress: 17.0% Elapsed: 17:31:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.30494 Generator_loss: 6.00683
[INFO] 2021-01-26 07:35:46 > Start Evaluation (34000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 07:35:46 > Calculating FID Score....
[INFO] 2021-01-26 07:36:38 > Calculating Inception Score....
[INFO] 2021-01-26 07:37:11 > Calculate F_beta Score....
[INFO] 2021-01-26 07:44:34 > Calculate Accuracies....
[INFO] 2021-01-26 07:45:19 > Calculate Accuracies....
[INFO] 2021-01-26 07:49:00 > F_8 score (Step: 34000, Using valid images): 0.6470580611477427
[INFO] 2021-01-26 07:49:00 > F_1/8 score (Step: 34000, Using valid images): 0.8927652903371782
[INFO] 2021-01-26 07:49:00 > FID score (Step: 34000, Using valid moments): 41.72448166329184
[INFO] 2021-01-26 07:49:00 > Inception score (Step: 34000, 50000 generated images): 16.33756446838379
[INFO] 2021-01-26 07:49:00 > Best FID score (Step: 34000, Using valid moments): 41.72448166329184
[INFO] 2021-01-26 07:50:05 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 07:52:28 > Step: 34100 Progress: 17.1% Elapsed: 17:47:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.28738 Generator_loss: 6.03376
[INFO] 2021-01-26 07:54:51 > Step: 34200 Progress: 17.1% Elapsed: 17:50:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.65656 Generator_loss: 5.79163
[INFO] 2021-01-26 07:57:14 > Step: 34300 Progress: 17.2% Elapsed: 17:52:41 temperature: 1.0 ada_p: No Discriminator_loss: 6.30257 Generator_loss: 5.61919
[INFO] 2021-01-26 07:59:38 > Step: 34400 Progress: 17.2% Elapsed: 17:55:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.13739 Generator_loss: 5.82157
[INFO] 2021-01-26 08:02:01 > Step: 34500 Progress: 17.2% Elapsed: 17:57:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.34805 Generator_loss: 5.77379
[INFO] 2021-01-26 08:04:24 > Step: 34600 Progress: 17.3% Elapsed: 17:59:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.47085 Generator_loss: 5.41309
[INFO] 2021-01-26 08:06:47 > Step: 34700 Progress: 17.3% Elapsed: 18:02:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.28008 Generator_loss: 6.05776
[INFO] 2021-01-26 08:09:11 > Step: 34800 Progress: 17.4% Elapsed: 18:04:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.23189 Generator_loss: 6.0872
[INFO] 2021-01-26 08:11:34 > Step: 34900 Progress: 17.4% Elapsed: 18:07:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.09674 Generator_loss: 5.98968
[INFO] 2021-01-26 08:13:58 > Step: 35000 Progress: 17.5% Elapsed: 18:09:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.50012 Generator_loss: 5.66363
[INFO] 2021-01-26 08:16:24 > Step: 35100 Progress: 17.5% Elapsed: 18:11:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.60235 Generator_loss: 5.59933
[INFO] 2021-01-26 08:18:48 > Step: 35200 Progress: 17.6% Elapsed: 18:14:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.46944 Generator_loss: 5.70793
[INFO] 2021-01-26 08:21:12 > Step: 35300 Progress: 17.6% Elapsed: 18:16:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.20553 Generator_loss: 6.51861
[INFO] 2021-01-26 08:23:35 > Step: 35400 Progress: 17.7% Elapsed: 18:19:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.16181 Generator_loss: 6.17543
[INFO] 2021-01-26 08:25:59 > Step: 35500 Progress: 17.8% Elapsed: 18:21:25 temperature: 1.0 ada_p: No Discriminator_loss: 5.32346 Generator_loss: 5.79208
[INFO] 2021-01-26 08:28:22 > Step: 35600 Progress: 17.8% Elapsed: 18:23:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.55253 Generator_loss: 6.53536
[INFO] 2021-01-26 08:31:16 > Step: 35700 Progress: 17.8% Elapsed: 18:26:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.19587 Generator_loss: 5.87273
[INFO] 2021-01-26 08:33:40 > Step: 35800 Progress: 17.9% Elapsed: 18:29:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.08502 Generator_loss: 6.08589
[INFO] 2021-01-26 08:36:04 > Step: 35900 Progress: 17.9% Elapsed: 18:31:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.30549 Generator_loss: 6.14084
[INFO] 2021-01-26 08:38:28 > Step: 36000 Progress: 18.0% Elapsed: 18:33:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.35335 Generator_loss: 5.85796
[INFO] 2021-01-26 08:38:28 > Start Evaluation (36000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 08:38:28 > Calculating FID Score....
[INFO] 2021-01-26 08:39:20 > Calculating Inception Score....
[INFO] 2021-01-26 08:39:53 > Calculate F_beta Score....
[INFO] 2021-01-26 08:47:22 > Calculate Accuracies....
[INFO] 2021-01-26 08:48:07 > Calculate Accuracies....
[INFO] 2021-01-26 08:51:50 > F_8 score (Step: 36000, Using valid images): 0.6500163349533118
[INFO] 2021-01-26 08:51:50 > F_1/8 score (Step: 36000, Using valid images): 0.8800274356314118
[INFO] 2021-01-26 08:51:50 > FID score (Step: 36000, Using valid moments): 40.630462203607806
[INFO] 2021-01-26 08:51:50 > Inception score (Step: 36000, 50000 generated images): 16.537546157836914
[INFO] 2021-01-26 08:51:50 > Best FID score (Step: 36000, Using valid moments): 40.630462203607806
[INFO] 2021-01-26 08:52:39 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 08:55:03 > Step: 36100 Progress: 18.1% Elapsed: 18:50:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.20734 Generator_loss: 5.90158
[INFO] 2021-01-26 08:57:27 > Step: 36200 Progress: 18.1% Elapsed: 18:52:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.01355 Generator_loss: 6.26309
[INFO] 2021-01-26 08:59:51 > Step: 36300 Progress: 18.1% Elapsed: 18:55:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.39331 Generator_loss: 5.80232
[INFO] 2021-01-26 09:02:39 > Step: 36400 Progress: 18.2% Elapsed: 18:58:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.14507 Generator_loss: 5.99716
[INFO] 2021-01-26 09:05:04 > Step: 36500 Progress: 18.2% Elapsed: 19:00:30 temperature: 1.0 ada_p: No Discriminator_loss: 5.60053 Generator_loss: 5.49144
[INFO] 2021-01-26 09:07:28 > Step: 36600 Progress: 18.3% Elapsed: 19:02:54 temperature: 1.0 ada_p: No Discriminator_loss: 5.11218 Generator_loss: 6.54167
[INFO] 2021-01-26 09:09:53 > Step: 36700 Progress: 18.4% Elapsed: 19:05:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.06737 Generator_loss: 6.25416
[INFO] 2021-01-26 09:12:17 > Step: 36800 Progress: 18.4% Elapsed: 19:07:43 temperature: 1.0 ada_p: No Discriminator_loss: 5.27759 Generator_loss: 6.07624
[INFO] 2021-01-26 09:14:41 > Step: 36900 Progress: 18.4% Elapsed: 19:10:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.11806 Generator_loss: 6.12862
[INFO] 2021-01-26 09:17:05 > Step: 37000 Progress: 18.5% Elapsed: 19:12:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.292 Generator_loss: 5.63476
[INFO] 2021-01-26 09:19:30 > Step: 37100 Progress: 18.6% Elapsed: 19:14:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.63326 Generator_loss: 5.72492
[INFO] 2021-01-26 09:21:54 > Step: 37200 Progress: 18.6% Elapsed: 19:17:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.15886 Generator_loss: 5.99835
[INFO] 2021-01-26 09:24:18 > Step: 37300 Progress: 18.6% Elapsed: 19:19:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.31155 Generator_loss: 5.81442
[INFO] 2021-01-26 09:26:42 > Step: 37400 Progress: 18.7% Elapsed: 19:22:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.4335 Generator_loss: 5.85019
[INFO] 2021-01-26 09:29:06 > Step: 37500 Progress: 18.8% Elapsed: 19:24:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.31435 Generator_loss: 5.81981
[INFO] 2021-01-26 09:31:32 > Step: 37600 Progress: 18.8% Elapsed: 19:26:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.119 Generator_loss: 6.12619
[INFO] 2021-01-26 09:33:56 > Step: 37700 Progress: 18.9% Elapsed: 19:29:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.154 Generator_loss: 5.95208
[INFO] 2021-01-26 09:36:21 > Step: 37800 Progress: 18.9% Elapsed: 19:31:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.5689 Generator_loss: 5.53385
[INFO] 2021-01-26 09:38:45 > Step: 37900 Progress: 18.9% Elapsed: 19:34:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.22837 Generator_loss: 5.85573
[INFO] 2021-01-26 09:41:09 > Step: 38000 Progress: 19.0% Elapsed: 19:36:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.13716 Generator_loss: 5.96559
[INFO] 2021-01-26 09:41:09 > Start Evaluation (38000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 09:41:09 > Calculating FID Score....
[INFO] 2021-01-26 09:42:03 > Calculating Inception Score....
[INFO] 2021-01-26 09:42:36 > Calculate F_beta Score....
[INFO] 2021-01-26 09:49:55 > Calculate Accuracies....
[INFO] 2021-01-26 09:50:40 > Calculate Accuracies....
[INFO] 2021-01-26 09:54:21 > F_8 score (Step: 38000, Using valid images): 0.653868042735566
[INFO] 2021-01-26 09:54:21 > F_1/8 score (Step: 38000, Using valid images): 0.8943407425861433
[INFO] 2021-01-26 09:54:21 > FID score (Step: 38000, Using valid moments): 39.776032910615186
[INFO] 2021-01-26 09:54:21 > Inception score (Step: 38000, 50000 generated images): 17.013551712036133
[INFO] 2021-01-26 09:54:21 > Best FID score (Step: 38000, Using valid moments): 39.776032910615186
[INFO] 2021-01-26 09:55:10 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 09:57:33 > Step: 38100 Progress: 19.1% Elapsed: 19:53:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.34347 Generator_loss: 5.88141
[INFO] 2021-01-26 09:59:56 > Step: 38200 Progress: 19.1% Elapsed: 19:55:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.24313 Generator_loss: 5.6486
[INFO] 2021-01-26 10:02:20 > Step: 38300 Progress: 19.1% Elapsed: 19:57:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.58724 Generator_loss: 5.51811
[INFO] 2021-01-26 10:05:01 > Step: 38400 Progress: 19.2% Elapsed: 20:00:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.10441 Generator_loss: 5.89211
[INFO] 2021-01-26 10:07:25 > Step: 38500 Progress: 19.2% Elapsed: 20:02:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.11654 Generator_loss: 5.97531
[INFO] 2021-01-26 10:09:50 > Step: 38600 Progress: 19.3% Elapsed: 20:05:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.2398 Generator_loss: 5.55975
[INFO] 2021-01-26 10:12:14 > Step: 38700 Progress: 19.4% Elapsed: 20:07:40 temperature: 1.0 ada_p: No Discriminator_loss: 5.15257 Generator_loss: 5.60152
[INFO] 2021-01-26 10:14:38 > Step: 38800 Progress: 19.4% Elapsed: 20:10:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.19207 Generator_loss: 5.89364
[INFO] 2021-01-26 10:17:01 > Step: 38900 Progress: 19.4% Elapsed: 20:12:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.49417 Generator_loss: 5.68355
[INFO] 2021-01-26 10:19:25 > Step: 39000 Progress: 19.5% Elapsed: 20:14:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.24075 Generator_loss: 6.05309
[INFO] 2021-01-26 10:21:49 > Step: 39100 Progress: 19.6% Elapsed: 20:17:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.33281 Generator_loss: 5.67636
[INFO] 2021-01-26 10:24:13 > Step: 39200 Progress: 19.6% Elapsed: 20:19:39 temperature: 1.0 ada_p: No Discriminator_loss: 5.31321 Generator_loss: 5.78081
[INFO] 2021-01-26 10:26:38 > Step: 39300 Progress: 19.7% Elapsed: 20:22:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.32954 Generator_loss: 5.92164
[INFO] 2021-01-26 10:29:02 > Step: 39400 Progress: 19.7% Elapsed: 20:24:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.31388 Generator_loss: 5.68584
[INFO] 2021-01-26 10:31:25 > Step: 39500 Progress: 19.8% Elapsed: 20:26:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.19915 Generator_loss: 6.06095
[INFO] 2021-01-26 10:33:50 > Step: 39600 Progress: 19.8% Elapsed: 20:29:16 temperature: 1.0 ada_p: No Discriminator_loss: 5.15044 Generator_loss: 6.05222
[INFO] 2021-01-26 10:36:14 > Step: 39700 Progress: 19.9% Elapsed: 20:31:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.34735 Generator_loss: 5.86077
[INFO] 2021-01-26 10:38:38 > Step: 39800 Progress: 19.9% Elapsed: 20:34:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.32849 Generator_loss: 5.82529
[INFO] 2021-01-26 10:41:02 > Step: 39900 Progress: 20.0% Elapsed: 20:36:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.62645 Generator_loss: 5.61387
[INFO] 2021-01-26 10:43:26 > Step: 40000 Progress: 20.0% Elapsed: 20:38:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.18616 Generator_loss: 5.93645
[INFO] 2021-01-26 10:43:26 > Start Evaluation (40000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 10:43:26 > Calculating FID Score....
[INFO] 2021-01-26 10:44:20 > Calculating Inception Score....
[INFO] 2021-01-26 10:44:54 > Calculate F_beta Score....
[INFO] 2021-01-26 10:53:05 > Calculate Accuracies....
[INFO] 2021-01-26 10:53:51 > Calculate Accuracies....
[INFO] 2021-01-26 10:57:36 > F_8 score (Step: 40000, Using valid images): 0.6601641522941821
[INFO] 2021-01-26 10:57:36 > F_1/8 score (Step: 40000, Using valid images): 0.9000642844211346
[INFO] 2021-01-26 10:57:36 > FID score (Step: 40000, Using valid moments): 39.02010365151227
[INFO] 2021-01-26 10:57:36 > Inception score (Step: 40000, 50000 generated images): 17.14876365661621
[INFO] 2021-01-26 10:57:36 > Best FID score (Step: 40000, Using valid moments): 39.02010365151227
[INFO] 2021-01-26 10:58:28 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 11:00:56 > Step: 40100 Progress: 20.1% Elapsed: 20:56:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.18884 Generator_loss: 5.767
[INFO] 2021-01-26 11:03:20 > Step: 40200 Progress: 20.1% Elapsed: 20:58:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.27364 Generator_loss: 5.8833
[INFO] 2021-01-26 11:05:45 > Step: 40300 Progress: 20.2% Elapsed: 21:01:11 temperature: 1.0 ada_p: No Discriminator_loss: 5.33694 Generator_loss: 5.95258
[INFO] 2021-01-26 11:08:09 > Step: 40400 Progress: 20.2% Elapsed: 21:03:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.28138 Generator_loss: 6.12133
[INFO] 2021-01-26 11:10:33 > Step: 40500 Progress: 20.2% Elapsed: 21:05:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.25729 Generator_loss: 6.02251
[INFO] 2021-01-26 11:12:57 > Step: 40600 Progress: 20.3% Elapsed: 21:08:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.35891 Generator_loss: 5.76594
[INFO] 2021-01-26 11:15:20 > Step: 40700 Progress: 20.3% Elapsed: 21:10:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.40455 Generator_loss: 5.74286
[INFO] 2021-01-26 11:17:43 > Step: 40800 Progress: 20.4% Elapsed: 21:13:09 temperature: 1.0 ada_p: No Discriminator_loss: 5.15513 Generator_loss: 6.00166
[INFO] 2021-01-26 11:20:28 > Step: 40900 Progress: 20.4% Elapsed: 21:15:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.23025 Generator_loss: 5.76681
[INFO] 2021-01-26 11:22:53 > Step: 41000 Progress: 20.5% Elapsed: 21:18:19 temperature: 1.0 ada_p: No Discriminator_loss: 5.34358 Generator_loss: 5.69978
[INFO] 2021-01-26 11:25:17 > Step: 41100 Progress: 20.5% Elapsed: 21:20:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.09256 Generator_loss: 6.4326
[INFO] 2021-01-26 11:27:41 > Step: 41200 Progress: 20.6% Elapsed: 21:23:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.14265 Generator_loss: 6.0073
[INFO] 2021-01-26 11:30:05 > Step: 41300 Progress: 20.6% Elapsed: 21:25:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.21599 Generator_loss: 5.89302
[INFO] 2021-01-26 11:32:29 > Step: 41400 Progress: 20.7% Elapsed: 21:27:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.1682 Generator_loss: 6.02398
[INFO] 2021-01-26 11:34:53 > Step: 41500 Progress: 20.8% Elapsed: 21:30:20 temperature: 1.0 ada_p: No Discriminator_loss: 5.11235 Generator_loss: 5.80855
[INFO] 2021-01-26 11:37:17 > Step: 41600 Progress: 20.8% Elapsed: 21:32:44 temperature: 1.0 ada_p: No Discriminator_loss: 5.15421 Generator_loss: 6.10646
[INFO] 2021-01-26 11:39:41 > Step: 41700 Progress: 20.8% Elapsed: 21:35:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.47651 Generator_loss: 5.6027
[INFO] 2021-01-26 11:42:05 > Step: 41800 Progress: 20.9% Elapsed: 21:37:32 temperature: 1.0 ada_p: No Discriminator_loss: 5.17938 Generator_loss: 6.18788
[INFO] 2021-01-26 11:44:30 > Step: 41900 Progress: 20.9% Elapsed: 21:39:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.37651 Generator_loss: 5.83704
[INFO] 2021-01-26 11:49:22 > Step: 42000 Progress: 21.0% Elapsed: 21:44:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.09808 Generator_loss: 5.96852
[INFO] 2021-01-26 11:49:22 > Start Evaluation (42000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 11:49:22 > Calculating FID Score....
[INFO] 2021-01-26 11:50:53 > Calculating Inception Score....
[INFO] 2021-01-26 11:52:04 > Calculate F_beta Score....
[INFO] 2021-01-26 12:00:25 > Calculate Accuracies....
[INFO] 2021-01-26 12:02:00 > Calculate Accuracies....
[INFO] 2021-01-26 12:05:47 > F_8 score (Step: 42000, Using valid images): 0.6851059149935785
[INFO] 2021-01-26 12:05:47 > F_1/8 score (Step: 42000, Using valid images): 0.901661199981308
[INFO] 2021-01-26 12:05:47 > FID score (Step: 42000, Using valid moments): 38.2324701839413
[INFO] 2021-01-26 12:05:47 > Inception score (Step: 42000, 50000 generated images): 17.242578506469727
[INFO] 2021-01-26 12:05:47 > Best FID score (Step: 42000, Using valid moments): 38.2324701839413
[INFO] 2021-01-26 12:06:39 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 12:09:34 > Step: 42100 Progress: 21.1% Elapsed: 22:05:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.1186 Generator_loss: 6.05735
[INFO] 2021-01-26 12:12:23 > Step: 42200 Progress: 21.1% Elapsed: 22:07:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.26402 Generator_loss: 5.90896
[INFO] 2021-01-26 12:17:26 > Step: 42300 Progress: 21.1% Elapsed: 22:12:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.23771 Generator_loss: 5.84288
[INFO] 2021-01-26 12:22:29 > Step: 42400 Progress: 21.2% Elapsed: 22:17:55 temperature: 1.0 ada_p: No Discriminator_loss: 5.19198 Generator_loss: 6.70668
[INFO] 2021-01-26 12:27:33 > Step: 42500 Progress: 21.2% Elapsed: 22:22:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.12549 Generator_loss: 6.32589
[INFO] 2021-01-26 12:32:41 > Step: 42600 Progress: 21.3% Elapsed: 22:28:08 temperature: 1.0 ada_p: No Discriminator_loss: 5.13569 Generator_loss: 5.91601
[INFO] 2021-01-26 12:37:47 > Step: 42700 Progress: 21.3% Elapsed: 22:33:14 temperature: 1.0 ada_p: No Discriminator_loss: 5.30371 Generator_loss: 5.83003
[INFO] 2021-01-26 12:42:51 > Step: 42800 Progress: 21.4% Elapsed: 22:38:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.19862 Generator_loss: 5.9436
[INFO] 2021-01-26 12:47:37 > Step: 42900 Progress: 21.4% Elapsed: 22:43:04 temperature: 1.0 ada_p: No Discriminator_loss: 5.24802 Generator_loss: 6.00456
[INFO] 2021-01-26 12:50:01 > Step: 43000 Progress: 21.5% Elapsed: 22:45:27 temperature: 1.0 ada_p: No Discriminator_loss: 5.3785 Generator_loss: 6.00094
[INFO] 2021-01-26 12:52:25 > Step: 43100 Progress: 21.6% Elapsed: 22:47:51 temperature: 1.0 ada_p: No Discriminator_loss: 5.24459 Generator_loss: 5.81578
[INFO] 2021-01-26 12:54:49 > Step: 43200 Progress: 21.6% Elapsed: 22:50:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.35404 Generator_loss: 5.72391
[INFO] 2021-01-26 12:57:12 > Step: 43300 Progress: 21.6% Elapsed: 22:52:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.16437 Generator_loss: 6.69872
[INFO] 2021-01-26 13:01:47 > Step: 43400 Progress: 21.7% Elapsed: 22:57:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.10568 Generator_loss: 6.00663
[INFO] 2021-01-26 13:07:20 > Step: 43500 Progress: 21.8% Elapsed: 23:02:47 temperature: 1.0 ada_p: No Discriminator_loss: 5.3778 Generator_loss: 5.74922
[INFO] 2021-01-26 13:12:55 > Step: 43600 Progress: 21.8% Elapsed: 23:08:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.03774 Generator_loss: 6.50379
[INFO] 2021-01-26 13:15:48 > Step: 43700 Progress: 21.9% Elapsed: 23:11:15 temperature: 1.0 ada_p: No Discriminator_loss: 5.1266 Generator_loss: 5.97385
[INFO] 2021-01-26 13:18:12 > Step: 43800 Progress: 21.9% Elapsed: 23:13:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.0521 Generator_loss: 6.22279
[INFO] 2021-01-26 13:20:36 > Step: 43900 Progress: 21.9% Elapsed: 23:16:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.27427 Generator_loss: 5.5887
[INFO] 2021-01-26 13:23:24 > Step: 44000 Progress: 22.0% Elapsed: 23:18:50 temperature: 1.0 ada_p: No Discriminator_loss: 5.11607 Generator_loss: 6.50754
[INFO] 2021-01-26 13:23:24 > Start Evaluation (44000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 13:23:24 > Calculating FID Score....
[INFO] 2021-01-26 13:24:16 > Calculating Inception Score....
[INFO] 2021-01-26 13:24:50 > Calculate F_beta Score....
[INFO] 2021-01-26 13:33:03 > Calculate Accuracies....
[INFO] 2021-01-26 13:33:49 > Calculate Accuracies....
[INFO] 2021-01-26 13:37:35 > F_8 score (Step: 44000, Using valid images): 0.6825213733465603
[INFO] 2021-01-26 13:37:35 > F_1/8 score (Step: 44000, Using valid images): 0.9012776744746405
[INFO] 2021-01-26 13:37:35 > FID score (Step: 44000, Using valid moments): 37.555641447062726
[INFO] 2021-01-26 13:37:35 > Inception score (Step: 44000, 50000 generated images): 17.520458221435547
[INFO] 2021-01-26 13:37:35 > Best FID score (Step: 44000, Using valid moments): 37.555641447062726
[INFO] 2021-01-26 13:38:27 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 13:40:51 > Step: 44100 Progress: 22.1% Elapsed: 23:36:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.12746 Generator_loss: 6.16887
[INFO] 2021-01-26 13:43:14 > Step: 44200 Progress: 22.1% Elapsed: 23:38:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.28497 Generator_loss: 5.95311
[INFO] 2021-01-26 13:45:38 > Step: 44300 Progress: 22.1% Elapsed: 23:41:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.20797 Generator_loss: 5.91137
[INFO] 2021-01-26 13:48:02 > Step: 44400 Progress: 22.2% Elapsed: 23:43:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.12946 Generator_loss: 6.1131
[INFO] 2021-01-26 13:50:25 > Step: 44500 Progress: 22.2% Elapsed: 23:45:52 temperature: 1.0 ada_p: No Discriminator_loss: 5.17737 Generator_loss: 5.74412
[INFO] 2021-01-26 13:53:09 > Step: 44600 Progress: 22.3% Elapsed: 23:48:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.03714 Generator_loss: 6.30018
[INFO] 2021-01-26 13:55:33 > Step: 44700 Progress: 22.4% Elapsed: 23:51:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.34311 Generator_loss: 5.77543
[INFO] 2021-01-26 13:57:58 > Step: 44800 Progress: 22.4% Elapsed: 23:53:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.26236 Generator_loss: 6.0217
[INFO] 2021-01-26 14:00:22 > Step: 44900 Progress: 22.4% Elapsed: 23:55:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.11426 Generator_loss: 6.0112
[INFO] 2021-01-26 14:02:47 > Step: 45000 Progress: 22.5% Elapsed: 23:58:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.09351 Generator_loss: 6.20425
[INFO] 2021-01-26 14:05:14 > Step: 45100 Progress: 22.6% Elapsed: 1 day, 0:00:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.121 Generator_loss: 5.87372
[INFO] 2021-01-26 14:07:40 > Step: 45200 Progress: 22.6% Elapsed: 1 day, 0:03:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.37844 Generator_loss: 5.80433
[INFO] 2021-01-26 14:10:05 > Step: 45300 Progress: 22.7% Elapsed: 1 day, 0:05:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.25832 Generator_loss: 5.97088
[INFO] 2021-01-26 14:12:29 > Step: 45400 Progress: 22.7% Elapsed: 1 day, 0:07:56 temperature: 1.0 ada_p: No Discriminator_loss: 5.0681 Generator_loss: 6.45022
[INFO] 2021-01-26 14:14:55 > Step: 45500 Progress: 22.8% Elapsed: 1 day, 0:10:21 temperature: 1.0 ada_p: No Discriminator_loss: 5.14336 Generator_loss: 5.96517
[INFO] 2021-01-26 14:17:19 > Step: 45600 Progress: 22.8% Elapsed: 1 day, 0:12:45 temperature: 1.0 ada_p: No Discriminator_loss: 5.26621 Generator_loss: 5.58539
[INFO] 2021-01-26 14:19:44 > Step: 45700 Progress: 22.9% Elapsed: 1 day, 0:15:10 temperature: 1.0 ada_p: No Discriminator_loss: 5.73405 Generator_loss: 5.67534
[INFO] 2021-01-26 14:22:09 > Step: 45800 Progress: 22.9% Elapsed: 1 day, 0:17:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.09001 Generator_loss: 6.06554
[INFO] 2021-01-26 14:24:33 > Step: 45900 Progress: 22.9% Elapsed: 1 day, 0:19:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.11784 Generator_loss: 6.70833
[INFO] 2021-01-26 14:26:58 > Step: 46000 Progress: 23.0% Elapsed: 1 day, 0:22:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.20638 Generator_loss: 5.91826
[INFO] 2021-01-26 14:26:58 > Start Evaluation (46000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 14:26:58 > Calculating FID Score....
[INFO] 2021-01-26 14:27:51 > Calculating Inception Score....
[INFO] 2021-01-26 14:28:27 > Calculate F_beta Score....
[INFO] 2021-01-26 14:36:50 > Calculate Accuracies....
[INFO] 2021-01-26 14:37:36 > Calculate Accuracies....
[INFO] 2021-01-26 14:41:25 > F_8 score (Step: 46000, Using valid images): 0.693117941848162
[INFO] 2021-01-26 14:41:25 > F_1/8 score (Step: 46000, Using valid images): 0.910287937264354
[INFO] 2021-01-26 14:41:25 > FID score (Step: 46000, Using valid moments): 36.79924914534746
[INFO] 2021-01-26 14:41:25 > Inception score (Step: 46000, 50000 generated images): 17.685367584228516
[INFO] 2021-01-26 14:41:25 > Best FID score (Step: 46000, Using valid moments): 36.79924914534746
[INFO] 2021-01-26 14:42:15 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 14:44:39 > Step: 46100 Progress: 23.1% Elapsed: 1 day, 0:40:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.09324 Generator_loss: 6.12867
[INFO] 2021-01-26 14:47:03 > Step: 46200 Progress: 23.1% Elapsed: 1 day, 0:42:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.65213 Generator_loss: 5.51001
[INFO] 2021-01-26 14:49:27 > Step: 46300 Progress: 23.2% Elapsed: 1 day, 0:44:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.16415 Generator_loss: 6.0225
[INFO] 2021-01-26 14:51:51 > Step: 46400 Progress: 23.2% Elapsed: 1 day, 0:47:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.11392 Generator_loss: 5.89266
[INFO] 2021-01-26 14:54:15 > Step: 46500 Progress: 23.2% Elapsed: 1 day, 0:49:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.16483 Generator_loss: 5.93009
[INFO] 2021-01-26 14:56:39 > Step: 46600 Progress: 23.3% Elapsed: 1 day, 0:52:05 temperature: 1.0 ada_p: No Discriminator_loss: 5.20978 Generator_loss: 6.58246
[INFO] 2021-01-26 14:59:03 > Step: 46700 Progress: 23.4% Elapsed: 1 day, 0:54:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.23509 Generator_loss: 5.87498
[INFO] 2021-01-26 15:01:27 > Step: 46800 Progress: 23.4% Elapsed: 1 day, 0:56:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.37477 Generator_loss: 5.89268
[INFO] 2021-01-26 15:03:51 > Step: 46900 Progress: 23.4% Elapsed: 1 day, 0:59:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.1538 Generator_loss: 5.89295
[INFO] 2021-01-26 15:06:33 > Step: 47000 Progress: 23.5% Elapsed: 1 day, 1:01:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.08388 Generator_loss: 6.00333
[INFO] 2021-01-26 15:08:57 > Step: 47100 Progress: 23.5% Elapsed: 1 day, 1:04:23 temperature: 1.0 ada_p: No Discriminator_loss: 5.16717 Generator_loss: 6.02656
[INFO] 2021-01-26 15:11:21 > Step: 47200 Progress: 23.6% Elapsed: 1 day, 1:06:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.13632 Generator_loss: 6.15751
[INFO] 2021-01-26 15:13:46 > Step: 47300 Progress: 23.6% Elapsed: 1 day, 1:09:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.17255 Generator_loss: 6.21028
[INFO] 2021-01-26 15:16:10 > Step: 47400 Progress: 23.7% Elapsed: 1 day, 1:11:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.27637 Generator_loss: 5.91659
[INFO] 2021-01-26 15:18:35 > Step: 47500 Progress: 23.8% Elapsed: 1 day, 1:14:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.07922 Generator_loss: 6.254
[INFO] 2021-01-26 15:21:02 > Step: 47600 Progress: 23.8% Elapsed: 1 day, 1:16:28 temperature: 1.0 ada_p: No Discriminator_loss: 5.10051 Generator_loss: 6.1722
[INFO] 2021-01-26 15:23:26 > Step: 47700 Progress: 23.8% Elapsed: 1 day, 1:18:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.08858 Generator_loss: 5.89183
[INFO] 2021-01-26 15:25:51 > Step: 47800 Progress: 23.9% Elapsed: 1 day, 1:21:17 temperature: 1.0 ada_p: No Discriminator_loss: 5.04002 Generator_loss: 6.547
[INFO] 2021-01-26 15:28:15 > Step: 47900 Progress: 23.9% Elapsed: 1 day, 1:23:41 temperature: 1.0 ada_p: No Discriminator_loss: 5.08796 Generator_loss: 6.12285
[INFO] 2021-01-26 15:30:40 > Step: 48000 Progress: 24.0% Elapsed: 1 day, 1:26:06 temperature: 1.0 ada_p: No Discriminator_loss: 5.07011 Generator_loss: 5.96411
[INFO] 2021-01-26 15:30:40 > Start Evaluation (48000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 15:30:40 > Calculating FID Score....
[INFO] 2021-01-26 15:31:31 > Calculating Inception Score....
[INFO] 2021-01-26 15:32:06 > Calculate F_beta Score....
[INFO] 2021-01-26 15:39:32 > Calculate Accuracies....
[INFO] 2021-01-26 15:40:18 > Calculate Accuracies....
[INFO] 2021-01-26 15:44:00 > F_8 score (Step: 48000, Using valid images): 0.6844660970752378
[INFO] 2021-01-26 15:44:00 > F_1/8 score (Step: 48000, Using valid images): 0.904284255322438
[INFO] 2021-01-26 15:44:00 > FID score (Step: 48000, Using valid moments): 36.346388180860174
[INFO] 2021-01-26 15:44:00 > Inception score (Step: 48000, 50000 generated images): 17.76280975341797
[INFO] 2021-01-26 15:44:00 > Best FID score (Step: 48000, Using valid moments): 36.346388180860174
[INFO] 2021-01-26 15:44:48 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 15:47:12 > Step: 48100 Progress: 24.1% Elapsed: 1 day, 1:42:38 temperature: 1.0 ada_p: No Discriminator_loss: 5.27749 Generator_loss: 5.93839
[INFO] 2021-01-26 15:49:35 > Step: 48200 Progress: 24.1% Elapsed: 1 day, 1:45:02 temperature: 1.0 ada_p: No Discriminator_loss: 5.36482 Generator_loss: 5.59316
[INFO] 2021-01-26 15:51:59 > Step: 48300 Progress: 24.1% Elapsed: 1 day, 1:47:26 temperature: 1.0 ada_p: No Discriminator_loss: 5.03194 Generator_loss: 6.14844
[INFO] 2021-01-26 15:54:23 > Step: 48400 Progress: 24.2% Elapsed: 1 day, 1:49:49 temperature: 1.0 ada_p: No Discriminator_loss: 5.05543 Generator_loss: 5.73462
[INFO] 2021-01-26 15:56:47 > Step: 48500 Progress: 24.2% Elapsed: 1 day, 1:52:13 temperature: 1.0 ada_p: No Discriminator_loss: 5.07675 Generator_loss: 6.11479
[INFO] 2021-01-26 15:59:10 > Step: 48600 Progress: 24.3% Elapsed: 1 day, 1:54:37 temperature: 1.0 ada_p: No Discriminator_loss: 5.14872 Generator_loss: 6.0705
[INFO] 2021-01-26 16:01:35 > Step: 48700 Progress: 24.3% Elapsed: 1 day, 1:57:01 temperature: 1.0 ada_p: No Discriminator_loss: 5.33257 Generator_loss: 6.7424
[INFO] 2021-01-26 16:03:58 > Step: 48800 Progress: 24.4% Elapsed: 1 day, 1:59:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.09308 Generator_loss: 6.38561
[INFO] 2021-01-26 16:06:22 > Step: 48900 Progress: 24.4% Elapsed: 1 day, 2:01:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.15274 Generator_loss: 5.86339
[INFO] 2021-01-26 16:08:46 > Step: 49000 Progress: 24.5% Elapsed: 1 day, 2:04:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.07423 Generator_loss: 6.15499
[INFO] 2021-01-26 16:11:09 > Step: 49100 Progress: 24.6% Elapsed: 1 day, 2:06:36 temperature: 1.0 ada_p: No Discriminator_loss: 5.29119 Generator_loss: 5.97055
[INFO] 2021-01-26 16:13:33 > Step: 49200 Progress: 24.6% Elapsed: 1 day, 2:08:59 temperature: 1.0 ada_p: No Discriminator_loss: 5.32214 Generator_loss: 5.29251
[INFO] 2021-01-26 16:15:56 > Step: 49300 Progress: 24.6% Elapsed: 1 day, 2:11:22 temperature: 1.0 ada_p: No Discriminator_loss: 5.13919 Generator_loss: 6.33167
[INFO] 2021-01-26 16:18:20 > Step: 49400 Progress: 24.7% Elapsed: 1 day, 2:13:46 temperature: 1.0 ada_p: No Discriminator_loss: 5.14951 Generator_loss: 5.97165
[INFO] 2021-01-26 16:21:02 > Step: 49500 Progress: 24.8% Elapsed: 1 day, 2:16:29 temperature: 1.0 ada_p: No Discriminator_loss: 5.11528 Generator_loss: 6.2574
[INFO] 2021-01-26 16:23:27 > Step: 49600 Progress: 24.8% Elapsed: 1 day, 2:18:53 temperature: 1.0 ada_p: No Discriminator_loss: 5.17649 Generator_loss: 5.84119
[INFO] 2021-01-26 16:25:51 > Step: 49700 Progress: 24.9% Elapsed: 1 day, 2:21:18 temperature: 1.0 ada_p: No Discriminator_loss: 5.12283 Generator_loss: 6.06446
[INFO] 2021-01-26 16:28:16 > Step: 49800 Progress: 24.9% Elapsed: 1 day, 2:23:42 temperature: 1.0 ada_p: No Discriminator_loss: 5.23316 Generator_loss: 5.88958
[INFO] 2021-01-26 16:30:41 > Step: 49900 Progress: 24.9% Elapsed: 1 day, 2:26:07 temperature: 1.0 ada_p: No Discriminator_loss: 5.12821 Generator_loss: 5.88781
[INFO] 2021-01-26 16:33:05 > Step: 50000 Progress: 25.0% Elapsed: 1 day, 2:28:31 temperature: 1.0 ada_p: No Discriminator_loss: 5.0887 Generator_loss: 6.10553
[INFO] 2021-01-26 16:33:05 > Start Evaluation (50000 Step): ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 16:33:05 > Calculating FID Score....
[INFO] 2021-01-26 16:33:56 > Calculating Inception Score....
[INFO] 2021-01-26 16:34:31 > Calculate F_beta Score....
[INFO] 2021-01-26 16:41:49 > Calculate Accuracies....
[INFO] 2021-01-26 16:42:35 > Calculate Accuracies....
[INFO] 2021-01-26 16:46:17 > F_8 score (Step: 50000, Using valid images): 0.7117394745851763
[INFO] 2021-01-26 16:46:17 > F_1/8 score (Step: 50000, Using valid images): 0.9104469895531593
[INFO] 2021-01-26 16:46:18 > FID score (Step: 50000, Using valid moments): 35.84204812789244
[INFO] 2021-01-26 16:46:18 > Inception score (Step: 50000, 50000 generated images): 18.068214416503906
[INFO] 2021-01-26 16:46:18 > Best FID score (Step: 50000, Using valid moments): 35.84204812789244
[INFO] 2021-01-26 16:47:06 > Save model to checkpoints/ContraGAN256-train-2021_01_25_13_55_18
[INFO] 2021-01-26 16:49:33 > Step: 50100 Progress: 25.1% Elapsed: 1 day, 2:45:00 temperature: 1.0 ada_p: No Discriminator_loss: 5.16436 Generator_loss: 5.98302
[INFO] 2021-01-26 16:51:57 > Step: 50200 Progress: 25.1% Elapsed: 1 day, 2:47:24 temperature: 1.0 ada_p: No Discriminator_loss: 5.65948 Generator_loss: 5.62982
[INFO] 2021-01-26 16:54:21 > Step: 50300 Progress: 25.1% Elapsed: 1 day, 2:49:48 temperature: 1.0 ada_p: No Discriminator_loss: 5.20301 Generator_loss: 5.93423
[INFO] 2021-01-26 16:56:45 > Step: 50400 Progress: 25.2% Elapsed: 1 day, 2:52:12 temperature: 1.0 ada_p: No Discriminator_loss: 5.16256 Generator_loss: 6.04085
[INFO] 2021-01-26 16:59:09 > Step: 50500 Progress: 25.2% Elapsed: 1 day, 2:54:35 temperature: 1.0 ada_p: No Discriminator_loss: 5.17623 Generator_loss: 5.90563
[INFO] 2021-01-26 17:01:32 > Step: 50600 Progress: 25.3% Elapsed: 1 day, 2:56:58 temperature: 1.0 ada_p: No Discriminator_loss: 5.10504 Generator_loss: 6.41262