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GGAN-train-2020_09_15_23_11_09.log
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[INFO] 2020-09-15 23:11:09 > Run name : GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:11:09 > {'config_path': './configs/CIFAR10/GGAN.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': 82624, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'k_nearest_neighbor': False, 'interpolation': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-09-15 23:11:09 > {'model': {'architecture': 'dcgan', 'conditional_strategy': 'no', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': False, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 'N/A', 'd_conv_dim': 'N/A', 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 2, 'total_step': 200000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', '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': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}
[INFO] 2020-09-15 23:11:09 > Loading train datasets...
[INFO] 2020-09-15 23:11:09 > Train dataset size : 50000
[INFO] 2020-09-15 23:11:09 > Loading test datasets...
[INFO] 2020-09-15 23:11:10 > Eval dataset size : 10000
[INFO] 2020-09-15 23:11:10 > Building model...
[INFO] 2020-09-15 23:11:10 > Modules are located on models.dcgan
[INFO] 2020-09-15 23:11:14 > Number of parameters: 3812355
[INFO] 2020-09-15 23:11:14 > Generator(
(linear0): Linear(in_features=128, out_features=8192, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(deconv0): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
(1): ModuleList(
(0): GenBlock(
(deconv0): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
(2): ModuleList(
(0): GenBlock(
(deconv0): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
)
(conv4): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-09-15 23:11:14 > Number of parameters: 2931009
[INFO] 2020-09-15 23:11:14 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscBlock(
(conv0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv1): Conv2d(64, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
(1): ModuleList(
(0): DiscBlock(
(conv0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv1): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
(2): ModuleList(
(0): DiscBlock(
(conv0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv1): Conv2d(256, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(bn0): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
)
)
)
(conv): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=512, out_features=1, bias=True)
)
[INFO] 2020-09-15 23:11:52 > Calculate moments of test dataset
[INFO] 2020-09-15 23:12:08 > Saving calculated means and covariances to disk...
[INFO] 2020-09-15 23:12:08 > calculate inception score of test dataset
[INFO] 2020-09-15 23:12:19 > Inception score=11.241484642028809-Inception_std=0.267821341753006
[INFO] 2020-09-15 23:12:19 > Start training....
[INFO] 2020-09-15 23:12:24 > Step: 100 Progress: 0.1% Elapsed: 0:00:04 temperature: no ada_p: No Discriminator_loss: 7.26044 Generator_loss: 3.29407
[INFO] 2020-09-15 23:12:27 > Step: 200 Progress: 0.1% Elapsed: 0:00:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.53863
[INFO] 2020-09-15 23:12:31 > Step: 300 Progress: 0.1% Elapsed: 0:00:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.12938
[INFO] 2020-09-15 23:12:35 > Step: 400 Progress: 0.2% Elapsed: 0:00:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.05498
[INFO] 2020-09-15 23:12:39 > Step: 500 Progress: 0.2% Elapsed: 0:00:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.41796
[INFO] 2020-09-15 23:12:43 > Step: 600 Progress: 0.3% Elapsed: 0:00:23 temperature: no ada_p: No Discriminator_loss: 0.336986 Generator_loss: 4.39354
[INFO] 2020-09-15 23:12:47 > Step: 700 Progress: 0.4% Elapsed: 0:00:27 temperature: no ada_p: No Discriminator_loss: 0.73854 Generator_loss: 5.1785
[INFO] 2020-09-15 23:12:51 > Step: 800 Progress: 0.4% Elapsed: 0:00:31 temperature: no ada_p: No Discriminator_loss: 0.0560311 Generator_loss: 3.54027
[INFO] 2020-09-15 23:12:55 > Step: 900 Progress: 0.4% Elapsed: 0:00:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.69479
[INFO] 2020-09-15 23:12:58 > Step: 1000 Progress: 0.5% Elapsed: 0:00:38 temperature: no ada_p: No Discriminator_loss: 0.000138312 Generator_loss: 3.95145
[INFO] 2020-09-15 23:13:02 > Step: 1100 Progress: 0.5% Elapsed: 0:00:42 temperature: no ada_p: No Discriminator_loss: 0.065362 Generator_loss: 2.9813
[INFO] 2020-09-15 23:13:06 > Step: 1200 Progress: 0.6% Elapsed: 0:00:46 temperature: no ada_p: No Discriminator_loss: 0.0348979 Generator_loss: 2.86367
[INFO] 2020-09-15 23:13:10 > Step: 1300 Progress: 0.7% Elapsed: 0:00:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.03065
[INFO] 2020-09-15 23:13:14 > Step: 1400 Progress: 0.7% Elapsed: 0:00:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.69473
[INFO] 2020-09-15 23:13:18 > Step: 1500 Progress: 0.8% Elapsed: 0:00:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.83095
[INFO] 2020-09-15 23:13:22 > Step: 1600 Progress: 0.8% Elapsed: 0:01:02 temperature: no ada_p: No Discriminator_loss: 0.0182192 Generator_loss: -1.07618
[INFO] 2020-09-15 23:13:25 > Step: 1700 Progress: 0.9% Elapsed: 0:01:06 temperature: no ada_p: No Discriminator_loss: 0.0517381 Generator_loss: 1.27923
[INFO] 2020-09-15 23:13:29 > Step: 1800 Progress: 0.9% Elapsed: 0:01:09 temperature: no ada_p: No Discriminator_loss: 0.014652 Generator_loss: 8.03344
[INFO] 2020-09-15 23:13:33 > Step: 1900 Progress: 0.9% Elapsed: 0:01:13 temperature: no ada_p: No Discriminator_loss: 0.638059 Generator_loss: -1.75018
[INFO] 2020-09-15 23:13:37 > Step: 2000 Progress: 1.0% Elapsed: 0:01:17 temperature: no ada_p: No Discriminator_loss: 0.635714 Generator_loss: 3.35614
[INFO] 2020-09-15 23:13:37 > Start Evaluation (2000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:15:06 > F_8 score (Step: 2000, Using test images): 0.2906798535072609
[INFO] 2020-09-15 23:15:06 > F_1/8 score (Step: 2000, Using test images): 0.5463878656144866
[INFO] 2020-09-15 23:15:06 > FID score (Step: 2000, Using test moments): 111.37390745093711
[INFO] 2020-09-15 23:15:06 > Inception score (Step: 2000, 10000 generated images): 3.922034740447998
[INFO] 2020-09-15 23:15:06 > Best FID score (Step: 2000, Using test moments): 111.37390745093711
[INFO] 2020-09-15 23:15:06 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:15:10 > Step: 2100 Progress: 1.1% Elapsed: 0:02:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.10533
[INFO] 2020-09-15 23:15:13 > Step: 2200 Progress: 1.1% Elapsed: 0:02:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.90504
[INFO] 2020-09-15 23:15:17 > Step: 2300 Progress: 1.1% Elapsed: 0:02:57 temperature: no ada_p: No Discriminator_loss: 0.052212 Generator_loss: 7.56574
[INFO] 2020-09-15 23:15:21 > Step: 2400 Progress: 1.2% Elapsed: 0:03:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.89505
[INFO] 2020-09-15 23:15:25 > Step: 2500 Progress: 1.2% Elapsed: 0:03:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.06789
[INFO] 2020-09-15 23:15:29 > Step: 2600 Progress: 1.3% Elapsed: 0:03:09 temperature: no ada_p: No Discriminator_loss: 0.0602292 Generator_loss: 3.78317
[INFO] 2020-09-15 23:15:33 > Step: 2700 Progress: 1.4% Elapsed: 0:03:13 temperature: no ada_p: No Discriminator_loss: 0.00539479 Generator_loss: 1.39772
[INFO] 2020-09-15 23:15:37 > Step: 2800 Progress: 1.4% Elapsed: 0:03:17 temperature: no ada_p: No Discriminator_loss: 0.624959 Generator_loss: -0.143984
[INFO] 2020-09-15 23:15:40 > Step: 2900 Progress: 1.5% Elapsed: 0:03:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.9601
[INFO] 2020-09-15 23:15:44 > Step: 3000 Progress: 1.5% Elapsed: 0:03:24 temperature: no ada_p: No Discriminator_loss: 0.0143659 Generator_loss: 3.4532
[INFO] 2020-09-15 23:15:48 > Step: 3100 Progress: 1.6% Elapsed: 0:03:28 temperature: no ada_p: No Discriminator_loss: 1.45812 Generator_loss: 2.66844
[INFO] 2020-09-15 23:15:52 > Step: 3200 Progress: 1.6% Elapsed: 0:03:32 temperature: no ada_p: No Discriminator_loss: 0.112119 Generator_loss: 2.39265
[INFO] 2020-09-15 23:15:56 > Step: 3300 Progress: 1.7% Elapsed: 0:03:36 temperature: no ada_p: No Discriminator_loss: 0.00029895 Generator_loss: 3.42347
[INFO] 2020-09-15 23:16:00 > Step: 3400 Progress: 1.7% Elapsed: 0:03:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.55429
[INFO] 2020-09-15 23:16:04 > Step: 3500 Progress: 1.8% Elapsed: 0:03:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.44253
[INFO] 2020-09-15 23:16:08 > Step: 3600 Progress: 1.8% Elapsed: 0:03:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.7336
[INFO] 2020-09-15 23:16:11 > Step: 3700 Progress: 1.8% Elapsed: 0:03:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.15633
[INFO] 2020-09-15 23:16:15 > Step: 3800 Progress: 1.9% Elapsed: 0:03:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.10271
[INFO] 2020-09-15 23:16:19 > Step: 3900 Progress: 1.9% Elapsed: 0:03:59 temperature: no ada_p: No Discriminator_loss: 0.260753 Generator_loss: 4.46537
[INFO] 2020-09-15 23:16:23 > Step: 4000 Progress: 2.0% Elapsed: 0:04:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.99647
[INFO] 2020-09-15 23:16:23 > Start Evaluation (4000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:17:53 > F_8 score (Step: 4000, Using test images): 0.43526727512652114
[INFO] 2020-09-15 23:17:53 > F_1/8 score (Step: 4000, Using test images): 0.556669176351278
[INFO] 2020-09-15 23:17:53 > FID score (Step: 4000, Using test moments): 100.66815493415788
[INFO] 2020-09-15 23:17:53 > Inception score (Step: 4000, 10000 generated images): 4.607327461242676
[INFO] 2020-09-15 23:17:53 > Best FID score (Step: 4000, Using test moments): 100.66815493415788
[INFO] 2020-09-15 23:17:53 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:17:57 > Step: 4100 Progress: 2.1% Elapsed: 0:05:37 temperature: no ada_p: No Discriminator_loss: 0.296706 Generator_loss: 8.18683
[INFO] 2020-09-15 23:18:01 > Step: 4200 Progress: 2.1% Elapsed: 0:05:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.87672
[INFO] 2020-09-15 23:18:05 > Step: 4300 Progress: 2.1% Elapsed: 0:05:45 temperature: no ada_p: No Discriminator_loss: 0.140729 Generator_loss: 4.99856
[INFO] 2020-09-15 23:18:09 > Step: 4400 Progress: 2.2% Elapsed: 0:05:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.67748
[INFO] 2020-09-15 23:18:13 > Step: 4500 Progress: 2.2% Elapsed: 0:05:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.12077
[INFO] 2020-09-15 23:18:16 > Step: 4600 Progress: 2.3% Elapsed: 0:05:57 temperature: no ada_p: No Discriminator_loss: 0.391291 Generator_loss: 5.81569
[INFO] 2020-09-15 23:18:20 > Step: 4700 Progress: 2.4% Elapsed: 0:06:01 temperature: no ada_p: No Discriminator_loss: 0.0185981 Generator_loss: 3.79888
[INFO] 2020-09-15 23:18:24 > Step: 4800 Progress: 2.4% Elapsed: 0:06:04 temperature: no ada_p: No Discriminator_loss: 5.46061 Generator_loss: 8.08768
[INFO] 2020-09-15 23:18:28 > Step: 4900 Progress: 2.5% Elapsed: 0:06:08 temperature: no ada_p: No Discriminator_loss: 0.0160381 Generator_loss: 5.83994
[INFO] 2020-09-15 23:18:32 > Step: 5000 Progress: 2.5% Elapsed: 0:06:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.72572
[INFO] 2020-09-15 23:18:36 > Step: 5100 Progress: 2.5% Elapsed: 0:06:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.62278
[INFO] 2020-09-15 23:18:40 > Step: 5200 Progress: 2.6% Elapsed: 0:06:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.08279
[INFO] 2020-09-15 23:18:44 > Step: 5300 Progress: 2.6% Elapsed: 0:06:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.54948
[INFO] 2020-09-15 23:18:47 > Step: 5400 Progress: 2.7% Elapsed: 0:06:27 temperature: no ada_p: No Discriminator_loss: 0.0880314 Generator_loss: 2.37668
[INFO] 2020-09-15 23:18:51 > Step: 5500 Progress: 2.8% Elapsed: 0:06:32 temperature: no ada_p: No Discriminator_loss: 0.49916 Generator_loss: 7.52957
[INFO] 2020-09-15 23:18:55 > Step: 5600 Progress: 2.8% Elapsed: 0:06:35 temperature: no ada_p: No Discriminator_loss: 0.180824 Generator_loss: 3.50954
[INFO] 2020-09-15 23:18:59 > Step: 5700 Progress: 2.9% Elapsed: 0:06:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.88092
[INFO] 2020-09-15 23:19:03 > Step: 5800 Progress: 2.9% Elapsed: 0:06:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.68294
[INFO] 2020-09-15 23:19:07 > Step: 5900 Progress: 2.9% Elapsed: 0:06:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.06472
[INFO] 2020-09-15 23:19:11 > Step: 6000 Progress: 3.0% Elapsed: 0:06:51 temperature: no ada_p: No Discriminator_loss: 0.521244 Generator_loss: 6.46014
[INFO] 2020-09-15 23:19:11 > Start Evaluation (6000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:20:39 > F_8 score (Step: 6000, Using test images): 0.6617525105876693
[INFO] 2020-09-15 23:20:39 > F_1/8 score (Step: 6000, Using test images): 0.844238529272599
[INFO] 2020-09-15 23:20:39 > FID score (Step: 6000, Using test moments): 64.91830033118072
[INFO] 2020-09-15 23:20:39 > Inception score (Step: 6000, 10000 generated images): 5.406187534332275
[INFO] 2020-09-15 23:20:39 > Best FID score (Step: 6000, Using test moments): 64.91830033118072
[INFO] 2020-09-15 23:20:39 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:20:43 > Step: 6100 Progress: 3.0% Elapsed: 0:08:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.43968
[INFO] 2020-09-15 23:20:47 > Step: 6200 Progress: 3.1% Elapsed: 0:08:27 temperature: no ada_p: No Discriminator_loss: 0.00972509 Generator_loss: 3.84369
[INFO] 2020-09-15 23:20:51 > Step: 6300 Progress: 3.1% Elapsed: 0:08:31 temperature: no ada_p: No Discriminator_loss: 0.749776 Generator_loss: 4.90906
[INFO] 2020-09-15 23:20:55 > Step: 6400 Progress: 3.2% Elapsed: 0:08:35 temperature: no ada_p: No Discriminator_loss: 0.0185044 Generator_loss: 2.62481
[INFO] 2020-09-15 23:20:59 > Step: 6500 Progress: 3.2% Elapsed: 0:08:39 temperature: no ada_p: No Discriminator_loss: 0.0355178 Generator_loss: 4.81571
[INFO] 2020-09-15 23:21:02 > Step: 6600 Progress: 3.3% Elapsed: 0:08:42 temperature: no ada_p: No Discriminator_loss: 0.00297096 Generator_loss: 3.40458
[INFO] 2020-09-15 23:21:06 > Step: 6700 Progress: 3.4% Elapsed: 0:08:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.85442
[INFO] 2020-09-15 23:21:10 > Step: 6800 Progress: 3.4% Elapsed: 0:08:50 temperature: no ada_p: No Discriminator_loss: 0.0144571 Generator_loss: 3.33998
[INFO] 2020-09-15 23:21:14 > Step: 6900 Progress: 3.5% Elapsed: 0:08:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.8569
[INFO] 2020-09-15 23:21:18 > Step: 7000 Progress: 3.5% Elapsed: 0:08:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.89438
[INFO] 2020-09-15 23:21:22 > Step: 7100 Progress: 3.5% Elapsed: 0:09:02 temperature: no ada_p: No Discriminator_loss: 0.143113 Generator_loss: 1.79644
[INFO] 2020-09-15 23:21:26 > Step: 7200 Progress: 3.6% Elapsed: 0:09:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.10456
[INFO] 2020-09-15 23:21:29 > Step: 7300 Progress: 3.6% Elapsed: 0:09:10 temperature: no ada_p: No Discriminator_loss: 0.00138745 Generator_loss: 4.11307
[INFO] 2020-09-15 23:21:33 > Step: 7400 Progress: 3.7% Elapsed: 0:09:13 temperature: no ada_p: No Discriminator_loss: 0.0185584 Generator_loss: 1.40884
[INFO] 2020-09-15 23:21:37 > Step: 7500 Progress: 3.8% Elapsed: 0:09:18 temperature: no ada_p: No Discriminator_loss: 0.0182554 Generator_loss: 4.87015
[INFO] 2020-09-15 23:21:41 > Step: 7600 Progress: 3.8% Elapsed: 0:09:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.56232
[INFO] 2020-09-15 23:21:45 > Step: 7700 Progress: 3.9% Elapsed: 0:09:25 temperature: no ada_p: No Discriminator_loss: 0.00520344 Generator_loss: 0.913332
[INFO] 2020-09-15 23:21:49 > Step: 7800 Progress: 3.9% Elapsed: 0:09:29 temperature: no ada_p: No Discriminator_loss: 0.0143184 Generator_loss: 7.19108
[INFO] 2020-09-15 23:21:53 > Step: 7900 Progress: 4.0% Elapsed: 0:09:33 temperature: no ada_p: No Discriminator_loss: 0.0425523 Generator_loss: 4.33096
[INFO] 2020-09-15 23:21:57 > Step: 8000 Progress: 4.0% Elapsed: 0:09:37 temperature: no ada_p: No Discriminator_loss: 0.0288673 Generator_loss: 3.57926
[INFO] 2020-09-15 23:21:57 > Start Evaluation (8000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:23:26 > F_8 score (Step: 8000, Using test images): 0.7219184168876926
[INFO] 2020-09-15 23:23:26 > F_1/8 score (Step: 8000, Using test images): 0.822933164588945
[INFO] 2020-09-15 23:23:26 > FID score (Step: 8000, Using test moments): 65.63960690293862
[INFO] 2020-09-15 23:23:26 > Inception score (Step: 8000, 10000 generated images): 5.163151264190674
[INFO] 2020-09-15 23:23:26 > Best FID score (Step: 6000, Using test moments): 64.91830033118072
[INFO] 2020-09-15 23:23:26 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:23:29 > Step: 8100 Progress: 4.0% Elapsed: 0:11:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.7609
[INFO] 2020-09-15 23:23:33 > Step: 8200 Progress: 4.1% Elapsed: 0:11:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.47444
[INFO] 2020-09-15 23:23:37 > Step: 8300 Progress: 4.2% Elapsed: 0:11:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.80031
[INFO] 2020-09-15 23:23:41 > Step: 8400 Progress: 4.2% Elapsed: 0:11:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.49515
[INFO] 2020-09-15 23:23:45 > Step: 8500 Progress: 4.2% Elapsed: 0:11:25 temperature: no ada_p: No Discriminator_loss: 0.0195003 Generator_loss: 2.66332
[INFO] 2020-09-15 23:23:49 > Step: 8600 Progress: 4.3% Elapsed: 0:11:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.70935
[INFO] 2020-09-15 23:23:53 > Step: 8700 Progress: 4.3% Elapsed: 0:11:33 temperature: no ada_p: No Discriminator_loss: 0.203977 Generator_loss: 4.49394
[INFO] 2020-09-15 23:23:57 > Step: 8800 Progress: 4.4% Elapsed: 0:11:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.71706
[INFO] 2020-09-15 23:24:00 > Step: 8900 Progress: 4.5% Elapsed: 0:11:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.26728
[INFO] 2020-09-15 23:24:05 > Step: 9000 Progress: 4.5% Elapsed: 0:11:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.47545
[INFO] 2020-09-15 23:24:08 > Step: 9100 Progress: 4.5% Elapsed: 0:11:48 temperature: no ada_p: No Discriminator_loss: 0.0125058 Generator_loss: 4.42736
[INFO] 2020-09-15 23:24:12 > Step: 9200 Progress: 4.6% Elapsed: 0:11:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.2573
[INFO] 2020-09-15 23:24:16 > Step: 9300 Progress: 4.7% Elapsed: 0:11:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.67269
[INFO] 2020-09-15 23:24:20 > Step: 9400 Progress: 4.7% Elapsed: 0:12:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.33528
[INFO] 2020-09-15 23:24:24 > Step: 9500 Progress: 4.8% Elapsed: 0:12:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.91274
[INFO] 2020-09-15 23:24:28 > Step: 9600 Progress: 4.8% Elapsed: 0:12:08 temperature: no ada_p: No Discriminator_loss: 0.00297547 Generator_loss: 3.78113
[INFO] 2020-09-15 23:24:31 > Step: 9700 Progress: 4.9% Elapsed: 0:12:11 temperature: no ada_p: No Discriminator_loss: 0.00787328 Generator_loss: 4.15066
[INFO] 2020-09-15 23:24:35 > Step: 9800 Progress: 4.9% Elapsed: 0:12:16 temperature: no ada_p: No Discriminator_loss: 0.0182061 Generator_loss: 3.19033
[INFO] 2020-09-15 23:24:39 > Step: 9900 Progress: 5.0% Elapsed: 0:12:19 temperature: no ada_p: No Discriminator_loss: 0.0440172 Generator_loss: 1.95314
[INFO] 2020-09-15 23:24:43 > Step: 10000 Progress: 5.0% Elapsed: 0:12:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.99228
[INFO] 2020-09-15 23:24:43 > Start Evaluation (10000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:26:12 > F_8 score (Step: 10000, Using test images): 0.7286688651360895
[INFO] 2020-09-15 23:26:12 > F_1/8 score (Step: 10000, Using test images): 0.8177662365859608
[INFO] 2020-09-15 23:26:12 > FID score (Step: 10000, Using test moments): 62.0311022445336
[INFO] 2020-09-15 23:26:12 > Inception score (Step: 10000, 10000 generated images): 5.648491859436035
[INFO] 2020-09-15 23:26:12 > Best FID score (Step: 10000, Using test moments): 62.0311022445336
[INFO] 2020-09-15 23:26:12 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:26:16 > Step: 10100 Progress: 5.1% Elapsed: 0:13:56 temperature: no ada_p: No Discriminator_loss: 0.0305424 Generator_loss: 0.429965
[INFO] 2020-09-15 23:26:20 > Step: 10200 Progress: 5.1% Elapsed: 0:14:00 temperature: no ada_p: No Discriminator_loss: 0.0443558 Generator_loss: 8.13274
[INFO] 2020-09-15 23:26:24 > Step: 10300 Progress: 5.1% Elapsed: 0:14:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.06359
[INFO] 2020-09-15 23:26:28 > Step: 10400 Progress: 5.2% Elapsed: 0:14:08 temperature: no ada_p: No Discriminator_loss: 0.125862 Generator_loss: 2.29825
[INFO] 2020-09-15 23:26:31 > Step: 10500 Progress: 5.2% Elapsed: 0:14:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.86985
[INFO] 2020-09-15 23:26:35 > Step: 10600 Progress: 5.3% Elapsed: 0:14:16 temperature: no ada_p: No Discriminator_loss: 4.83945 Generator_loss: 0.551546
[INFO] 2020-09-15 23:26:39 > Step: 10700 Progress: 5.3% Elapsed: 0:14:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.4945
[INFO] 2020-09-15 23:26:43 > Step: 10800 Progress: 5.4% Elapsed: 0:14:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.38066
[INFO] 2020-09-15 23:26:47 > Step: 10900 Progress: 5.5% Elapsed: 0:14:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.54552
[INFO] 2020-09-15 23:26:51 > Step: 11000 Progress: 5.5% Elapsed: 0:14:31 temperature: no ada_p: No Discriminator_loss: 0.0364934 Generator_loss: 4.57935
[INFO] 2020-09-15 23:26:55 > Step: 11100 Progress: 5.5% Elapsed: 0:14:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.53053
[INFO] 2020-09-15 23:26:58 > Step: 11200 Progress: 5.6% Elapsed: 0:14:39 temperature: no ada_p: No Discriminator_loss: 0.15253 Generator_loss: 10.6836
[INFO] 2020-09-15 23:27:02 > Step: 11300 Progress: 5.7% Elapsed: 0:14:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.59248
[INFO] 2020-09-15 23:27:06 > Step: 11400 Progress: 5.7% Elapsed: 0:14:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.73039
[INFO] 2020-09-15 23:27:10 > Step: 11500 Progress: 5.8% Elapsed: 0:14:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.96273
[INFO] 2020-09-15 23:27:14 > Step: 11600 Progress: 5.8% Elapsed: 0:14:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.61494
[INFO] 2020-09-15 23:27:18 > Step: 11700 Progress: 5.9% Elapsed: 0:14:58 temperature: no ada_p: No Discriminator_loss: 1.68581 Generator_loss: -0.727449
[INFO] 2020-09-15 23:27:22 > Step: 11800 Progress: 5.9% Elapsed: 0:15:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.89543
[INFO] 2020-09-15 23:27:26 > Step: 11900 Progress: 5.9% Elapsed: 0:15:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.9566
[INFO] 2020-09-15 23:27:29 > Step: 12000 Progress: 6.0% Elapsed: 0:15:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.53996
[INFO] 2020-09-15 23:27:29 > Start Evaluation (12000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:29:00 > F_8 score (Step: 12000, Using test images): 0.6788614044732688
[INFO] 2020-09-15 23:29:00 > F_1/8 score (Step: 12000, Using test images): 0.7473726003261322
[INFO] 2020-09-15 23:29:00 > FID score (Step: 12000, Using test moments): 67.90351302739481
[INFO] 2020-09-15 23:29:00 > Inception score (Step: 12000, 10000 generated images): 5.361968040466309
[INFO] 2020-09-15 23:29:00 > Best FID score (Step: 10000, Using test moments): 62.0311022445336
[INFO] 2020-09-15 23:29:00 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:29:04 > Step: 12100 Progress: 6.0% Elapsed: 0:16:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.25675
[INFO] 2020-09-15 23:29:08 > Step: 12200 Progress: 6.1% Elapsed: 0:16:48 temperature: no ada_p: No Discriminator_loss: 0.138317 Generator_loss: 8.13881
[INFO] 2020-09-15 23:29:12 > Step: 12300 Progress: 6.2% Elapsed: 0:16:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.45455
[INFO] 2020-09-15 23:29:15 > Step: 12400 Progress: 6.2% Elapsed: 0:16:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.65747
[INFO] 2020-09-15 23:29:19 > Step: 12500 Progress: 6.2% Elapsed: 0:17:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.955663
[INFO] 2020-09-15 23:29:23 > Step: 12600 Progress: 6.3% Elapsed: 0:17:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.62176
[INFO] 2020-09-15 23:29:27 > Step: 12700 Progress: 6.3% Elapsed: 0:17:07 temperature: no ada_p: No Discriminator_loss: 0.459464 Generator_loss: 4.08558
[INFO] 2020-09-15 23:29:31 > Step: 12800 Progress: 6.4% Elapsed: 0:17:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.29178
[INFO] 2020-09-15 23:29:35 > Step: 12900 Progress: 6.5% Elapsed: 0:17:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.77507
[INFO] 2020-09-15 23:29:39 > Step: 13000 Progress: 6.5% Elapsed: 0:17:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.20297
[INFO] 2020-09-15 23:29:43 > Step: 13100 Progress: 6.6% Elapsed: 0:17:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.09496
[INFO] 2020-09-15 23:29:46 > Step: 13200 Progress: 6.6% Elapsed: 0:17:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.3052
[INFO] 2020-09-15 23:29:50 > Step: 13300 Progress: 6.7% Elapsed: 0:17:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.28407
[INFO] 2020-09-15 23:29:54 > Step: 13400 Progress: 6.7% Elapsed: 0:17:34 temperature: no ada_p: No Discriminator_loss: 0.0771462 Generator_loss: 7.57469
[INFO] 2020-09-15 23:29:58 > Step: 13500 Progress: 6.8% Elapsed: 0:17:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.13974
[INFO] 2020-09-15 23:30:02 > Step: 13600 Progress: 6.8% Elapsed: 0:17:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.55567
[INFO] 2020-09-15 23:30:06 > Step: 13700 Progress: 6.9% Elapsed: 0:17:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.03029
[INFO] 2020-09-15 23:30:10 > Step: 13800 Progress: 6.9% Elapsed: 0:17:50 temperature: no ada_p: No Discriminator_loss: 0.0230213 Generator_loss: 3.9542
[INFO] 2020-09-15 23:30:13 > Step: 13900 Progress: 7.0% Elapsed: 0:17:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.75721
[INFO] 2020-09-15 23:30:17 > Step: 14000 Progress: 7.0% Elapsed: 0:17:57 temperature: no ada_p: No Discriminator_loss: 1.44358 Generator_loss: 8.8825
[INFO] 2020-09-15 23:30:17 > Start Evaluation (14000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:31:46 > F_8 score (Step: 14000, Using test images): 0.7213167242749889
[INFO] 2020-09-15 23:31:46 > F_1/8 score (Step: 14000, Using test images): 0.8599156939720758
[INFO] 2020-09-15 23:31:46 > FID score (Step: 14000, Using test moments): 57.47368715184598
[INFO] 2020-09-15 23:31:46 > Inception score (Step: 14000, 10000 generated images): 5.605052471160889
[INFO] 2020-09-15 23:31:46 > Best FID score (Step: 14000, Using test moments): 57.47368715184598
[INFO] 2020-09-15 23:31:47 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:31:51 > Step: 14100 Progress: 7.0% Elapsed: 0:19:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.89277
[INFO] 2020-09-15 23:31:54 > Step: 14200 Progress: 7.1% Elapsed: 0:19:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.80572
[INFO] 2020-09-15 23:31:58 > Step: 14300 Progress: 7.1% Elapsed: 0:19:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.69841
[INFO] 2020-09-15 23:32:02 > Step: 14400 Progress: 7.2% Elapsed: 0:19:42 temperature: no ada_p: No Discriminator_loss: 0.0220755 Generator_loss: 4.21
[INFO] 2020-09-15 23:32:06 > Step: 14500 Progress: 7.2% Elapsed: 0:19:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.46485
[INFO] 2020-09-15 23:32:10 > Step: 14600 Progress: 7.3% Elapsed: 0:19:50 temperature: no ada_p: No Discriminator_loss: 0.0215339 Generator_loss: 3.8099
[INFO] 2020-09-15 23:32:14 > Step: 14700 Progress: 7.3% Elapsed: 0:19:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.41036
[INFO] 2020-09-15 23:32:18 > Step: 14800 Progress: 7.4% Elapsed: 0:19:58 temperature: no ada_p: No Discriminator_loss: 0.00212689 Generator_loss: 7.93514
[INFO] 2020-09-15 23:32:22 > Step: 14900 Progress: 7.4% Elapsed: 0:20:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.97348
[INFO] 2020-09-15 23:32:25 > Step: 15000 Progress: 7.5% Elapsed: 0:20:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.59865
[INFO] 2020-09-15 23:32:29 > Step: 15100 Progress: 7.5% Elapsed: 0:20:09 temperature: no ada_p: No Discriminator_loss: 0.057345 Generator_loss: 3.92144
[INFO] 2020-09-15 23:32:33 > Step: 15200 Progress: 7.6% Elapsed: 0:20:13 temperature: no ada_p: No Discriminator_loss: 0.0881253 Generator_loss: 6.93666
[INFO] 2020-09-15 23:32:37 > Step: 15300 Progress: 7.6% Elapsed: 0:20:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.86095
[INFO] 2020-09-15 23:32:41 > Step: 15400 Progress: 7.7% Elapsed: 0:20:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.67771
[INFO] 2020-09-15 23:32:45 > Step: 15500 Progress: 7.8% Elapsed: 0:20:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.0444
[INFO] 2020-09-15 23:32:48 > Step: 15600 Progress: 7.8% Elapsed: 0:20:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.75858
[INFO] 2020-09-15 23:32:53 > Step: 15700 Progress: 7.8% Elapsed: 0:20:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.27136
[INFO] 2020-09-15 23:32:56 > Step: 15800 Progress: 7.9% Elapsed: 0:20:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.7218
[INFO] 2020-09-15 23:33:00 > Step: 15900 Progress: 8.0% Elapsed: 0:20:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.18418
[INFO] 2020-09-15 23:33:04 > Step: 16000 Progress: 8.0% Elapsed: 0:20:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.51578
[INFO] 2020-09-15 23:33:04 > Start Evaluation (16000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:34:34 > F_8 score (Step: 16000, Using test images): 0.6761877714944523
[INFO] 2020-09-15 23:34:34 > F_1/8 score (Step: 16000, Using test images): 0.715919199798434
[INFO] 2020-09-15 23:34:34 > FID score (Step: 16000, Using test moments): 71.73400364791189
[INFO] 2020-09-15 23:34:34 > Inception score (Step: 16000, 10000 generated images): 5.126104354858398
[INFO] 2020-09-15 23:34:34 > Best FID score (Step: 14000, Using test moments): 57.47368715184598
[INFO] 2020-09-15 23:34:34 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:34:38 > Step: 16100 Progress: 8.1% Elapsed: 0:22:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.92866
[INFO] 2020-09-15 23:34:42 > Step: 16200 Progress: 8.1% Elapsed: 0:22:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.92874
[INFO] 2020-09-15 23:34:46 > Step: 16300 Progress: 8.2% Elapsed: 0:22:26 temperature: no ada_p: No Discriminator_loss: 0.92095 Generator_loss: 8.45763
[INFO] 2020-09-15 23:34:49 > Step: 16400 Progress: 8.2% Elapsed: 0:22:29 temperature: no ada_p: No Discriminator_loss: 4.41127 Generator_loss: 9.41935
[INFO] 2020-09-15 23:34:53 > Step: 16500 Progress: 8.2% Elapsed: 0:22:34 temperature: no ada_p: No Discriminator_loss: 0.00568054 Generator_loss: 6.61857
[INFO] 2020-09-15 23:34:57 > Step: 16600 Progress: 8.3% Elapsed: 0:22:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.31384
[INFO] 2020-09-15 23:35:01 > Step: 16700 Progress: 8.3% Elapsed: 0:22:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.30519
[INFO] 2020-09-15 23:35:05 > Step: 16800 Progress: 8.4% Elapsed: 0:22:45 temperature: no ada_p: No Discriminator_loss: 0.00414112 Generator_loss: 5.19141
[INFO] 2020-09-15 23:35:09 > Step: 16900 Progress: 8.5% Elapsed: 0:22:49 temperature: no ada_p: No Discriminator_loss: 0.0890721 Generator_loss: 6.66668
[INFO] 2020-09-15 23:35:13 > Step: 17000 Progress: 8.5% Elapsed: 0:22:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.50394
[INFO] 2020-09-15 23:35:16 > Step: 17100 Progress: 8.6% Elapsed: 0:22:57 temperature: no ada_p: No Discriminator_loss: 0.00756727 Generator_loss: 8.28863
[INFO] 2020-09-15 23:35:21 > Step: 17200 Progress: 8.6% Elapsed: 0:23:01 temperature: no ada_p: No Discriminator_loss: 0.000882166 Generator_loss: 4.54975
[INFO] 2020-09-15 23:35:24 > Step: 17300 Progress: 8.6% Elapsed: 0:23:05 temperature: no ada_p: No Discriminator_loss: 0.0371614 Generator_loss: 4.4031
[INFO] 2020-09-15 23:35:28 > Step: 17400 Progress: 8.7% Elapsed: 0:23:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.21268
[INFO] 2020-09-15 23:35:32 > Step: 17500 Progress: 8.8% Elapsed: 0:23:12 temperature: no ada_p: No Discriminator_loss: 0.0315391 Generator_loss: 3.58293
[INFO] 2020-09-15 23:35:36 > Step: 17600 Progress: 8.8% Elapsed: 0:23:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.27227
[INFO] 2020-09-15 23:35:40 > Step: 17700 Progress: 8.8% Elapsed: 0:23:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.00405
[INFO] 2020-09-15 23:35:44 > Step: 17800 Progress: 8.9% Elapsed: 0:23:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.38268
[INFO] 2020-09-15 23:35:47 > Step: 17900 Progress: 8.9% Elapsed: 0:23:28 temperature: no ada_p: No Discriminator_loss: 0.0373977 Generator_loss: 4.47957
[INFO] 2020-09-15 23:35:52 > Step: 18000 Progress: 9.0% Elapsed: 0:23:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.52818
[INFO] 2020-09-15 23:35:52 > Start Evaluation (18000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:37:21 > F_8 score (Step: 18000, Using test images): 0.7829741361874037
[INFO] 2020-09-15 23:37:21 > F_1/8 score (Step: 18000, Using test images): 0.8342022551400252
[INFO] 2020-09-15 23:37:21 > FID score (Step: 18000, Using test moments): 53.34863266902488
[INFO] 2020-09-15 23:37:21 > Inception score (Step: 18000, 10000 generated images): 5.920022010803223
[INFO] 2020-09-15 23:37:21 > Best FID score (Step: 18000, Using test moments): 53.34863266902488
[INFO] 2020-09-15 23:37:22 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:37:25 > Step: 18100 Progress: 9.0% Elapsed: 0:25:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.34193
[INFO] 2020-09-15 23:37:29 > Step: 18200 Progress: 9.1% Elapsed: 0:25:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.5167
[INFO] 2020-09-15 23:37:33 > Step: 18300 Progress: 9.2% Elapsed: 0:25:13 temperature: no ada_p: No Discriminator_loss: 1.26107 Generator_loss: 1.09851
[INFO] 2020-09-15 23:37:37 > Step: 18400 Progress: 9.2% Elapsed: 0:25:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 12.6231
[INFO] 2020-09-15 23:37:41 > Step: 18500 Progress: 9.2% Elapsed: 0:25:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.33309
[INFO] 2020-09-15 23:37:45 > Step: 18600 Progress: 9.3% Elapsed: 0:25:25 temperature: no ada_p: No Discriminator_loss: 3.41503 Generator_loss: 5.33442
[INFO] 2020-09-15 23:37:48 > Step: 18700 Progress: 9.3% Elapsed: 0:25:28 temperature: no ada_p: No Discriminator_loss: 0.541793 Generator_loss: 4.30429
[INFO] 2020-09-15 23:37:52 > Step: 18800 Progress: 9.4% Elapsed: 0:25:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.22176
[INFO] 2020-09-15 23:37:56 > Step: 18900 Progress: 9.4% Elapsed: 0:25:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.7723
[INFO] 2020-09-15 23:38:00 > Step: 19000 Progress: 9.5% Elapsed: 0:25:40 temperature: no ada_p: No Discriminator_loss: 0.000897959 Generator_loss: 9.73487
[INFO] 2020-09-15 23:38:04 > Step: 19100 Progress: 9.6% Elapsed: 0:25:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.98667
[INFO] 2020-09-15 23:38:08 > Step: 19200 Progress: 9.6% Elapsed: 0:25:48 temperature: no ada_p: No Discriminator_loss: 0.0117048 Generator_loss: 3.54596
[INFO] 2020-09-15 23:38:12 > Step: 19300 Progress: 9.7% Elapsed: 0:25:52 temperature: no ada_p: No Discriminator_loss: 0.141411 Generator_loss: 6.48386
[INFO] 2020-09-15 23:38:16 > Step: 19400 Progress: 9.7% Elapsed: 0:25:56 temperature: no ada_p: No Discriminator_loss: 0.88846 Generator_loss: 8.72759
[INFO] 2020-09-15 23:38:19 > Step: 19500 Progress: 9.8% Elapsed: 0:25:59 temperature: no ada_p: No Discriminator_loss: 0.144706 Generator_loss: 7.77753
[INFO] 2020-09-15 23:38:23 > Step: 19600 Progress: 9.8% Elapsed: 0:26:04 temperature: no ada_p: No Discriminator_loss: 0.0470743 Generator_loss: 4.07446
[INFO] 2020-09-15 23:38:27 > Step: 19700 Progress: 9.8% Elapsed: 0:26:07 temperature: no ada_p: No Discriminator_loss: 1.71993 Generator_loss: 8.19782
[INFO] 2020-09-15 23:38:31 > Step: 19800 Progress: 9.9% Elapsed: 0:26:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.90522
[INFO] 2020-09-15 23:38:35 > Step: 19900 Progress: 10.0% Elapsed: 0:26:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.19192
[INFO] 2020-09-15 23:38:39 > Step: 20000 Progress: 10.0% Elapsed: 0:26:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.32217
[INFO] 2020-09-15 23:38:39 > Start Evaluation (20000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:40:08 > F_8 score (Step: 20000, Using test images): 0.710678989029645
[INFO] 2020-09-15 23:40:08 > F_1/8 score (Step: 20000, Using test images): 0.8510697987788005
[INFO] 2020-09-15 23:40:08 > FID score (Step: 20000, Using test moments): 61.39200703942015
[INFO] 2020-09-15 23:40:08 > Inception score (Step: 20000, 10000 generated images): 5.813919544219971
[INFO] 2020-09-15 23:40:08 > Best FID score (Step: 18000, Using test moments): 53.34863266902488
[INFO] 2020-09-15 23:40:08 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:40:12 > Step: 20100 Progress: 10.1% Elapsed: 0:27:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.12546
[INFO] 2020-09-15 23:40:16 > Step: 20200 Progress: 10.1% Elapsed: 0:27:56 temperature: no ada_p: No Discriminator_loss: 0.107532 Generator_loss: 4.01133
[INFO] 2020-09-15 23:40:20 > Step: 20300 Progress: 10.2% Elapsed: 0:28:00 temperature: no ada_p: No Discriminator_loss: 0.151597 Generator_loss: 0.718498
[INFO] 2020-09-15 23:40:24 > Step: 20400 Progress: 10.2% Elapsed: 0:28:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.84862
[INFO] 2020-09-15 23:40:28 > Step: 20500 Progress: 10.2% Elapsed: 0:28:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.38578
[INFO] 2020-09-15 23:40:31 > Step: 20600 Progress: 10.3% Elapsed: 0:28:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.56855
[INFO] 2020-09-15 23:40:35 > Step: 20700 Progress: 10.3% Elapsed: 0:28:16 temperature: no ada_p: No Discriminator_loss: 0.196812 Generator_loss: 5.94078
[INFO] 2020-09-15 23:40:39 > Step: 20800 Progress: 10.4% Elapsed: 0:28:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.61008
[INFO] 2020-09-15 23:40:43 > Step: 20900 Progress: 10.4% Elapsed: 0:28:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.90986
[INFO] 2020-09-15 23:40:47 > Step: 21000 Progress: 10.5% Elapsed: 0:28:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.65593
[INFO] 2020-09-15 23:40:51 > Step: 21100 Progress: 10.5% Elapsed: 0:28:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.692031
[INFO] 2020-09-15 23:40:55 > Step: 21200 Progress: 10.6% Elapsed: 0:28:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.42963
[INFO] 2020-09-15 23:40:59 > Step: 21300 Progress: 10.7% Elapsed: 0:28:39 temperature: no ada_p: No Discriminator_loss: 0.00313809 Generator_loss: 6.95886
[INFO] 2020-09-15 23:41:02 > Step: 21400 Progress: 10.7% Elapsed: 0:28:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.45267
[INFO] 2020-09-15 23:41:06 > Step: 21500 Progress: 10.8% Elapsed: 0:28:47 temperature: no ada_p: No Discriminator_loss: 0.0411059 Generator_loss: 8.34786
[INFO] 2020-09-15 23:41:10 > Step: 21600 Progress: 10.8% Elapsed: 0:28:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.30931
[INFO] 2020-09-15 23:41:14 > Step: 21700 Progress: 10.8% Elapsed: 0:28:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.6926
[INFO] 2020-09-15 23:41:18 > Step: 21800 Progress: 10.9% Elapsed: 0:28:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.02682
[INFO] 2020-09-15 23:41:22 > Step: 21900 Progress: 10.9% Elapsed: 0:29:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.91756
[INFO] 2020-09-15 23:41:26 > Step: 22000 Progress: 11.0% Elapsed: 0:29:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.55854
[INFO] 2020-09-15 23:41:26 > Start Evaluation (22000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:42:55 > F_8 score (Step: 22000, Using test images): 0.8043595059644816
[INFO] 2020-09-15 23:42:55 > F_1/8 score (Step: 22000, Using test images): 0.879434436059684
[INFO] 2020-09-15 23:42:55 > FID score (Step: 22000, Using test moments): 50.01418995983954
[INFO] 2020-09-15 23:42:55 > Inception score (Step: 22000, 10000 generated images): 6.4198808670043945
[INFO] 2020-09-15 23:42:55 > Best FID score (Step: 22000, Using test moments): 50.01418995983954
[INFO] 2020-09-15 23:42:55 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:42:59 > Step: 22100 Progress: 11.1% Elapsed: 0:30:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.02821
[INFO] 2020-09-15 23:43:03 > Step: 22200 Progress: 11.1% Elapsed: 0:30:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.67937
[INFO] 2020-09-15 23:43:07 > Step: 22300 Progress: 11.2% Elapsed: 0:30:47 temperature: no ada_p: No Discriminator_loss: 0.0548804 Generator_loss: 8.32486
[INFO] 2020-09-15 23:43:11 > Step: 22400 Progress: 11.2% Elapsed: 0:30:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.01466
[INFO] 2020-09-15 23:43:15 > Step: 22500 Progress: 11.2% Elapsed: 0:30:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.5269
[INFO] 2020-09-15 23:43:18 > Step: 22600 Progress: 11.3% Elapsed: 0:30:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.27484
[INFO] 2020-09-15 23:43:22 > Step: 22700 Progress: 11.3% Elapsed: 0:31:03 temperature: no ada_p: No Discriminator_loss: 1.47598 Generator_loss: 6.74513
[INFO] 2020-09-15 23:43:26 > Step: 22800 Progress: 11.4% Elapsed: 0:31:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.52193
[INFO] 2020-09-15 23:43:30 > Step: 22900 Progress: 11.5% Elapsed: 0:31:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.39537
[INFO] 2020-09-15 23:43:34 > Step: 23000 Progress: 11.5% Elapsed: 0:31:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.49024
[INFO] 2020-09-15 23:43:38 > Step: 23100 Progress: 11.6% Elapsed: 0:31:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.30502
[INFO] 2020-09-15 23:43:42 > Step: 23200 Progress: 11.6% Elapsed: 0:31:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.39222
[INFO] 2020-09-15 23:43:46 > Step: 23300 Progress: 11.7% Elapsed: 0:31:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.66976
[INFO] 2020-09-15 23:43:49 > Step: 23400 Progress: 11.7% Elapsed: 0:31:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.73248
[INFO] 2020-09-15 23:43:53 > Step: 23500 Progress: 11.8% Elapsed: 0:31:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.17892
[INFO] 2020-09-15 23:43:57 > Step: 23600 Progress: 11.8% Elapsed: 0:31:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.83065
[INFO] 2020-09-15 23:44:01 > Step: 23700 Progress: 11.8% Elapsed: 0:31:41 temperature: no ada_p: No Discriminator_loss: 1.06747 Generator_loss: 9.57692
[INFO] 2020-09-15 23:44:05 > Step: 23800 Progress: 11.9% Elapsed: 0:31:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.87868
[INFO] 2020-09-15 23:44:09 > Step: 23900 Progress: 11.9% Elapsed: 0:31:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.91426
[INFO] 2020-09-15 23:44:13 > Step: 24000 Progress: 12.0% Elapsed: 0:31:53 temperature: no ada_p: No Discriminator_loss: 0.000558474 Generator_loss: 2.13917
[INFO] 2020-09-15 23:44:13 > Start Evaluation (24000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:45:41 > F_8 score (Step: 24000, Using test images): 0.7685913024019979
[INFO] 2020-09-15 23:45:41 > F_1/8 score (Step: 24000, Using test images): 0.8424822585147853
[INFO] 2020-09-15 23:45:41 > FID score (Step: 24000, Using test moments): 52.214747570952
[INFO] 2020-09-15 23:45:41 > Inception score (Step: 24000, 10000 generated images): 5.794455528259277
[INFO] 2020-09-15 23:45:41 > Best FID score (Step: 22000, Using test moments): 50.01418995983954
[INFO] 2020-09-15 23:45:41 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:45:45 > Step: 24100 Progress: 12.0% Elapsed: 0:33:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.89374
[INFO] 2020-09-15 23:45:49 > Step: 24200 Progress: 12.1% Elapsed: 0:33:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.69379
[INFO] 2020-09-15 23:45:53 > Step: 24300 Progress: 12.2% Elapsed: 0:33:33 temperature: no ada_p: No Discriminator_loss: 0.0176938 Generator_loss: 3.22901
[INFO] 2020-09-15 23:45:57 > Step: 24400 Progress: 12.2% Elapsed: 0:33:37 temperature: no ada_p: No Discriminator_loss: 0.0723644 Generator_loss: 7.03068
[INFO] 2020-09-15 23:46:01 > Step: 24500 Progress: 12.2% Elapsed: 0:33:41 temperature: no ada_p: No Discriminator_loss: 0.0196996 Generator_loss: 6.70688
[INFO] 2020-09-15 23:46:04 > Step: 24600 Progress: 12.3% Elapsed: 0:33:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.03221
[INFO] 2020-09-15 23:46:09 > Step: 24700 Progress: 12.3% Elapsed: 0:33:49 temperature: no ada_p: No Discriminator_loss: 0.247353 Generator_loss: 1.35348
[INFO] 2020-09-15 23:46:12 > Step: 24800 Progress: 12.4% Elapsed: 0:33:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.66641
[INFO] 2020-09-15 23:46:16 > Step: 24900 Progress: 12.4% Elapsed: 0:33:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.57431
[INFO] 2020-09-15 23:46:20 > Step: 25000 Progress: 12.5% Elapsed: 0:34:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.36259
[INFO] 2020-09-15 23:46:24 > Step: 25100 Progress: 12.6% Elapsed: 0:34:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.01327
[INFO] 2020-09-15 23:46:28 > Step: 25200 Progress: 12.6% Elapsed: 0:34:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.59111
[INFO] 2020-09-15 23:46:32 > Step: 25300 Progress: 12.7% Elapsed: 0:34:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.39586
[INFO] 2020-09-15 23:46:36 > Step: 25400 Progress: 12.7% Elapsed: 0:34:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.66133
[INFO] 2020-09-15 23:46:40 > Step: 25500 Progress: 12.8% Elapsed: 0:34:20 temperature: no ada_p: No Discriminator_loss: 0.0426311 Generator_loss: 4.41591
[INFO] 2020-09-15 23:46:43 > Step: 25600 Progress: 12.8% Elapsed: 0:34:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.83282
[INFO] 2020-09-15 23:46:47 > Step: 25700 Progress: 12.8% Elapsed: 0:34:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.5092
[INFO] 2020-09-15 23:46:51 > Step: 25800 Progress: 12.9% Elapsed: 0:34:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.97588
[INFO] 2020-09-15 23:46:55 > Step: 25900 Progress: 13.0% Elapsed: 0:34:35 temperature: no ada_p: No Discriminator_loss: 0.00444056 Generator_loss: 8.89526
[INFO] 2020-09-15 23:46:59 > Step: 26000 Progress: 13.0% Elapsed: 0:34:39 temperature: no ada_p: No Discriminator_loss: 0.0510256 Generator_loss: 6.14408
[INFO] 2020-09-15 23:46:59 > Start Evaluation (26000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:48:28 > F_8 score (Step: 26000, Using test images): 0.8483726523335846
[INFO] 2020-09-15 23:48:28 > F_1/8 score (Step: 26000, Using test images): 0.8859260750707166
[INFO] 2020-09-15 23:48:28 > FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:48:28 > Inception score (Step: 26000, 10000 generated images): 6.411571979522705
[INFO] 2020-09-15 23:48:28 > Best FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:48:28 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:48:32 > Step: 26100 Progress: 13.1% Elapsed: 0:36:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.38509
[INFO] 2020-09-15 23:48:36 > Step: 26200 Progress: 13.1% Elapsed: 0:36:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.85257
[INFO] 2020-09-15 23:48:40 > Step: 26300 Progress: 13.2% Elapsed: 0:36:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.28004
[INFO] 2020-09-15 23:48:44 > Step: 26400 Progress: 13.2% Elapsed: 0:36:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.78435
[INFO] 2020-09-15 23:48:47 > Step: 26500 Progress: 13.2% Elapsed: 0:36:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.74408
[INFO] 2020-09-15 23:48:52 > Step: 26600 Progress: 13.3% Elapsed: 0:36:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.05825
[INFO] 2020-09-15 23:48:55 > Step: 26700 Progress: 13.4% Elapsed: 0:36:35 temperature: no ada_p: No Discriminator_loss: 3.95637 Generator_loss: 9.12292
[INFO] 2020-09-15 23:48:59 > Step: 26800 Progress: 13.4% Elapsed: 0:36:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.11802
[INFO] 2020-09-15 23:49:03 > Step: 26900 Progress: 13.5% Elapsed: 0:36:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.31372
[INFO] 2020-09-15 23:49:07 > Step: 27000 Progress: 13.5% Elapsed: 0:36:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.10032
[INFO] 2020-09-15 23:49:11 > Step: 27100 Progress: 13.6% Elapsed: 0:36:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.67592
[INFO] 2020-09-15 23:49:15 > Step: 27200 Progress: 13.6% Elapsed: 0:36:55 temperature: no ada_p: No Discriminator_loss: 0.0979609 Generator_loss: 5.59144
[INFO] 2020-09-15 23:49:18 > Step: 27300 Progress: 13.7% Elapsed: 0:36:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.88435
[INFO] 2020-09-15 23:49:23 > Step: 27400 Progress: 13.7% Elapsed: 0:37:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.92933
[INFO] 2020-09-15 23:49:26 > Step: 27500 Progress: 13.8% Elapsed: 0:37:06 temperature: no ada_p: No Discriminator_loss: 0.135473 Generator_loss: 11.1256
[INFO] 2020-09-15 23:49:30 > Step: 27600 Progress: 13.8% Elapsed: 0:37:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.0276
[INFO] 2020-09-15 23:49:34 > Step: 27700 Progress: 13.9% Elapsed: 0:37:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.23807
[INFO] 2020-09-15 23:49:38 > Step: 27800 Progress: 13.9% Elapsed: 0:37:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.88368
[INFO] 2020-09-15 23:49:42 > Step: 27900 Progress: 14.0% Elapsed: 0:37:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.05561
[INFO] 2020-09-15 23:49:46 > Step: 28000 Progress: 14.0% Elapsed: 0:37:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.78582
[INFO] 2020-09-15 23:49:46 > Start Evaluation (28000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:51:15 > F_8 score (Step: 28000, Using test images): 0.7963490067790944
[INFO] 2020-09-15 23:51:15 > F_1/8 score (Step: 28000, Using test images): 0.8890297197243493
[INFO] 2020-09-15 23:51:15 > FID score (Step: 28000, Using test moments): 50.692575219509024
[INFO] 2020-09-15 23:51:15 > Inception score (Step: 28000, 10000 generated images): 6.050297260284424
[INFO] 2020-09-15 23:51:15 > Best FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:51:15 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:51:18 > Step: 28100 Progress: 14.1% Elapsed: 0:38:59 temperature: no ada_p: No Discriminator_loss: 0.00394009 Generator_loss: 9.17867
[INFO] 2020-09-15 23:51:23 > Step: 28200 Progress: 14.1% Elapsed: 0:39:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.30059
[INFO] 2020-09-15 23:51:26 > Step: 28300 Progress: 14.1% Elapsed: 0:39:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.20342
[INFO] 2020-09-15 23:51:30 > Step: 28400 Progress: 14.2% Elapsed: 0:39:10 temperature: no ada_p: No Discriminator_loss: 0.106481 Generator_loss: 7.23631
[INFO] 2020-09-15 23:51:34 > Step: 28500 Progress: 14.2% Elapsed: 0:39:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.63091
[INFO] 2020-09-15 23:51:38 > Step: 28600 Progress: 14.3% Elapsed: 0:39:18 temperature: no ada_p: No Discriminator_loss: 0.00150395 Generator_loss: 3.85817
[INFO] 2020-09-15 23:51:42 > Step: 28700 Progress: 14.3% Elapsed: 0:39:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.01549
[INFO] 2020-09-15 23:51:46 > Step: 28800 Progress: 14.4% Elapsed: 0:39:26 temperature: no ada_p: No Discriminator_loss: 0.313556 Generator_loss: 3.09192
[INFO] 2020-09-15 23:51:50 > Step: 28900 Progress: 14.4% Elapsed: 0:39:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.35588
[INFO] 2020-09-15 23:51:54 > Step: 29000 Progress: 14.5% Elapsed: 0:39:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.66328
[INFO] 2020-09-15 23:51:57 > Step: 29100 Progress: 14.5% Elapsed: 0:39:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.81713
[INFO] 2020-09-15 23:52:01 > Step: 29200 Progress: 14.6% Elapsed: 0:39:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.62877
[INFO] 2020-09-15 23:52:05 > Step: 29300 Progress: 14.6% Elapsed: 0:39:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.98114
[INFO] 2020-09-15 23:52:09 > Step: 29400 Progress: 14.7% Elapsed: 0:39:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.41258
[INFO] 2020-09-15 23:52:13 > Step: 29500 Progress: 14.8% Elapsed: 0:39:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.88279
[INFO] 2020-09-15 23:52:17 > Step: 29600 Progress: 14.8% Elapsed: 0:39:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -0.118239
[INFO] 2020-09-15 23:52:21 > Step: 29700 Progress: 14.8% Elapsed: 0:40:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.21565
[INFO] 2020-09-15 23:52:25 > Step: 29800 Progress: 14.9% Elapsed: 0:40:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.97515
[INFO] 2020-09-15 23:52:28 > Step: 29900 Progress: 14.9% Elapsed: 0:40:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.73994
[INFO] 2020-09-15 23:52:32 > Step: 30000 Progress: 15.0% Elapsed: 0:40:12 temperature: no ada_p: No Discriminator_loss: 0.0766913 Generator_loss: 7.26831
[INFO] 2020-09-15 23:52:32 > Start Evaluation (30000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:54:00 > F_8 score (Step: 30000, Using test images): 0.8234658065955314
[INFO] 2020-09-15 23:54:00 > F_1/8 score (Step: 30000, Using test images): 0.908250561819261
[INFO] 2020-09-15 23:54:00 > FID score (Step: 30000, Using test moments): 45.13803474842888
[INFO] 2020-09-15 23:54:00 > Inception score (Step: 30000, 10000 generated images): 6.6205244064331055
[INFO] 2020-09-15 23:54:00 > Best FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:54:00 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:54:04 > Step: 30100 Progress: 15.0% Elapsed: 0:41:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.09297
[INFO] 2020-09-15 23:54:08 > Step: 30200 Progress: 15.1% Elapsed: 0:41:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.2774
[INFO] 2020-09-15 23:54:12 > Step: 30300 Progress: 15.2% Elapsed: 0:41:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.37084
[INFO] 2020-09-15 23:54:16 > Step: 30400 Progress: 15.2% Elapsed: 0:41:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.22516
[INFO] 2020-09-15 23:54:20 > Step: 30500 Progress: 15.2% Elapsed: 0:42:00 temperature: no ada_p: No Discriminator_loss: 0.0940029 Generator_loss: 10.7174
[INFO] 2020-09-15 23:54:24 > Step: 30600 Progress: 15.3% Elapsed: 0:42:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.50813
[INFO] 2020-09-15 23:54:28 > Step: 30700 Progress: 15.3% Elapsed: 0:42:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.48089
[INFO] 2020-09-15 23:54:31 > Step: 30800 Progress: 15.4% Elapsed: 0:42:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.83662
[INFO] 2020-09-15 23:54:35 > Step: 30900 Progress: 15.4% Elapsed: 0:42:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.32779
[INFO] 2020-09-15 23:54:39 > Step: 31000 Progress: 15.5% Elapsed: 0:42:19 temperature: no ada_p: No Discriminator_loss: 0.132352 Generator_loss: 7.35486
[INFO] 2020-09-15 23:54:43 > Step: 31100 Progress: 15.6% Elapsed: 0:42:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.62857
[INFO] 2020-09-15 23:54:47 > Step: 31200 Progress: 15.6% Elapsed: 0:42:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.0743
[INFO] 2020-09-15 23:54:51 > Step: 31300 Progress: 15.7% Elapsed: 0:42:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 12.447
[INFO] 2020-09-15 23:54:55 > Step: 31400 Progress: 15.7% Elapsed: 0:42:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.09491
[INFO] 2020-09-15 23:54:59 > Step: 31500 Progress: 15.8% Elapsed: 0:42:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.05556
[INFO] 2020-09-15 23:55:02 > Step: 31600 Progress: 15.8% Elapsed: 0:42:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.11635
[INFO] 2020-09-15 23:55:06 > Step: 31700 Progress: 15.8% Elapsed: 0:42:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.70446
[INFO] 2020-09-15 23:55:10 > Step: 31800 Progress: 15.9% Elapsed: 0:42:50 temperature: no ada_p: No Discriminator_loss: 0.0491434 Generator_loss: 2.85367
[INFO] 2020-09-15 23:55:14 > Step: 31900 Progress: 16.0% Elapsed: 0:42:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.21059
[INFO] 2020-09-15 23:55:18 > Step: 32000 Progress: 16.0% Elapsed: 0:42:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.10623
[INFO] 2020-09-15 23:55:18 > Start Evaluation (32000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:56:46 > F_8 score (Step: 32000, Using test images): 0.8139775805357437
[INFO] 2020-09-15 23:56:46 > F_1/8 score (Step: 32000, Using test images): 0.8781406915365233
[INFO] 2020-09-15 23:56:46 > FID score (Step: 32000, Using test moments): 46.335952356079815
[INFO] 2020-09-15 23:56:46 > Inception score (Step: 32000, 10000 generated images): 6.629932403564453
[INFO] 2020-09-15 23:56:46 > Best FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:56:47 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:56:51 > Step: 32100 Progress: 16.1% Elapsed: 0:44:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.464669
[INFO] 2020-09-15 23:56:54 > Step: 32200 Progress: 16.1% Elapsed: 0:44:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.08903
[INFO] 2020-09-15 23:56:58 > Step: 32300 Progress: 16.2% Elapsed: 0:44:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.98466
[INFO] 2020-09-15 23:57:02 > Step: 32400 Progress: 16.2% Elapsed: 0:44:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.8035
[INFO] 2020-09-15 23:57:06 > Step: 32500 Progress: 16.2% Elapsed: 0:44:46 temperature: no ada_p: No Discriminator_loss: 0.542372 Generator_loss: 6.2527
[INFO] 2020-09-15 23:57:10 > Step: 32600 Progress: 16.3% Elapsed: 0:44:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.08485
[INFO] 2020-09-15 23:57:14 > Step: 32700 Progress: 16.4% Elapsed: 0:44:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.4419
[INFO] 2020-09-15 23:57:18 > Step: 32800 Progress: 16.4% Elapsed: 0:44:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.52538
[INFO] 2020-09-15 23:57:22 > Step: 32900 Progress: 16.4% Elapsed: 0:45:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.10104
[INFO] 2020-09-15 23:57:25 > Step: 33000 Progress: 16.5% Elapsed: 0:45:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.64674
[INFO] 2020-09-15 23:57:29 > Step: 33100 Progress: 16.6% Elapsed: 0:45:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.40816
[INFO] 2020-09-15 23:57:33 > Step: 33200 Progress: 16.6% Elapsed: 0:45:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.04132
[INFO] 2020-09-15 23:57:37 > Step: 33300 Progress: 16.7% Elapsed: 0:45:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.73089
[INFO] 2020-09-15 23:57:41 > Step: 33400 Progress: 16.7% Elapsed: 0:45:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.0783
[INFO] 2020-09-15 23:57:45 > Step: 33500 Progress: 16.8% Elapsed: 0:45:25 temperature: no ada_p: No Discriminator_loss: 3.07344 Generator_loss: 4.70071
[INFO] 2020-09-15 23:57:49 > Step: 33600 Progress: 16.8% Elapsed: 0:45:29 temperature: no ada_p: No Discriminator_loss: 0.114806 Generator_loss: 5.26575
[INFO] 2020-09-15 23:57:53 > Step: 33700 Progress: 16.9% Elapsed: 0:45:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.566415
[INFO] 2020-09-15 23:57:56 > Step: 33800 Progress: 16.9% Elapsed: 0:45:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.65107
[INFO] 2020-09-15 23:58:00 > Step: 33900 Progress: 17.0% Elapsed: 0:45:40 temperature: no ada_p: No Discriminator_loss: 0.00133009 Generator_loss: 2.17837
[INFO] 2020-09-15 23:58:04 > Step: 34000 Progress: 17.0% Elapsed: 0:45:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.38798
[INFO] 2020-09-15 23:58:04 > Start Evaluation (34000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:59:32 > F_8 score (Step: 34000, Using test images): 0.8028697969356019
[INFO] 2020-09-15 23:59:32 > F_1/8 score (Step: 34000, Using test images): 0.8760549558034291
[INFO] 2020-09-15 23:59:32 > FID score (Step: 34000, Using test moments): 48.73950813565375
[INFO] 2020-09-15 23:59:32 > Inception score (Step: 34000, 10000 generated images): 6.342939853668213
[INFO] 2020-09-15 23:59:32 > Best FID score (Step: 26000, Using test moments): 44.81018812999844
[INFO] 2020-09-15 23:59:33 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-15 23:59:36 > Step: 34100 Progress: 17.1% Elapsed: 0:47:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.35049
[INFO] 2020-09-15 23:59:40 > Step: 34200 Progress: 17.1% Elapsed: 0:47:20 temperature: no ada_p: No Discriminator_loss: 0.0478878 Generator_loss: 3.84285
[INFO] 2020-09-15 23:59:44 > Step: 34300 Progress: 17.2% Elapsed: 0:47:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.02604
[INFO] 2020-09-15 23:59:48 > Step: 34400 Progress: 17.2% Elapsed: 0:47:28 temperature: no ada_p: No Discriminator_loss: 1.49016 Generator_loss: 8.60771
[INFO] 2020-09-15 23:59:52 > Step: 34500 Progress: 17.2% Elapsed: 0:47:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.23175
[INFO] 2020-09-15 23:59:56 > Step: 34600 Progress: 17.3% Elapsed: 0:47:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.37617
[INFO] 2020-09-16 00:00:00 > Step: 34700 Progress: 17.3% Elapsed: 0:47:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.65821
[INFO] 2020-09-16 00:00:04 > Step: 34800 Progress: 17.4% Elapsed: 0:47:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.47382
[INFO] 2020-09-16 00:00:07 > Step: 34900 Progress: 17.4% Elapsed: 0:47:48 temperature: no ada_p: No Discriminator_loss: 0.0638221 Generator_loss: 8.63236
[INFO] 2020-09-16 00:00:11 > Step: 35000 Progress: 17.5% Elapsed: 0:47:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.31691
[INFO] 2020-09-16 00:00:15 > Step: 35100 Progress: 17.5% Elapsed: 0:47:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.37777
[INFO] 2020-09-16 00:00:19 > Step: 35200 Progress: 17.6% Elapsed: 0:47:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.27103
[INFO] 2020-09-16 00:00:23 > Step: 35300 Progress: 17.6% Elapsed: 0:48:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.28866
[INFO] 2020-09-16 00:00:27 > Step: 35400 Progress: 17.7% Elapsed: 0:48:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.30062
[INFO] 2020-09-16 00:00:31 > Step: 35500 Progress: 17.8% Elapsed: 0:48:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.4452
[INFO] 2020-09-16 00:00:35 > Step: 35600 Progress: 17.8% Elapsed: 0:48:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.8651
[INFO] 2020-09-16 00:00:38 > Step: 35700 Progress: 17.8% Elapsed: 0:48:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.67762
[INFO] 2020-09-16 00:00:42 > Step: 35800 Progress: 17.9% Elapsed: 0:48:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.55453
[INFO] 2020-09-16 00:00:46 > Step: 35900 Progress: 17.9% Elapsed: 0:48:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.3793
[INFO] 2020-09-16 00:00:50 > Step: 36000 Progress: 18.0% Elapsed: 0:48:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.26164
[INFO] 2020-09-16 00:00:50 > Start Evaluation (36000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:02:18 > F_8 score (Step: 36000, Using test images): 0.8494127886672516
[INFO] 2020-09-16 00:02:19 > F_1/8 score (Step: 36000, Using test images): 0.9084846780012508
[INFO] 2020-09-16 00:02:19 > FID score (Step: 36000, Using test moments): 43.904601317550146
[INFO] 2020-09-16 00:02:19 > Inception score (Step: 36000, 10000 generated images): 6.383882999420166
[INFO] 2020-09-16 00:02:19 > Best FID score (Step: 36000, Using test moments): 43.904601317550146
[INFO] 2020-09-16 00:02:19 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:02:23 > Step: 36100 Progress: 18.1% Elapsed: 0:50:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.12357
[INFO] 2020-09-16 00:02:26 > Step: 36200 Progress: 18.1% Elapsed: 0:50:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.82545
[INFO] 2020-09-16 00:02:30 > Step: 36300 Progress: 18.1% Elapsed: 0:50:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.38505
[INFO] 2020-09-16 00:02:34 > Step: 36400 Progress: 18.2% Elapsed: 0:50:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.82399
[INFO] 2020-09-16 00:02:38 > Step: 36500 Progress: 18.2% Elapsed: 0:50:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.40928
[INFO] 2020-09-16 00:02:42 > Step: 36600 Progress: 18.3% Elapsed: 0:50:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.15174
[INFO] 2020-09-16 00:02:46 > Step: 36700 Progress: 18.4% Elapsed: 0:50:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.9669
[INFO] 2020-09-16 00:02:50 > Step: 36800 Progress: 18.4% Elapsed: 0:50:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.30066
[INFO] 2020-09-16 00:02:54 > Step: 36900 Progress: 18.4% Elapsed: 0:50:34 temperature: no ada_p: No Discriminator_loss: 0.00780306 Generator_loss: 9.59515
[INFO] 2020-09-16 00:02:57 > Step: 37000 Progress: 18.5% Elapsed: 0:50:37 temperature: no ada_p: No Discriminator_loss: 0.259302 Generator_loss: 5.84245
[INFO] 2020-09-16 00:03:01 > Step: 37100 Progress: 18.6% Elapsed: 0:50:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.91212
[INFO] 2020-09-16 00:03:05 > Step: 37200 Progress: 18.6% Elapsed: 0:50:45 temperature: no ada_p: No Discriminator_loss: 0.0278554 Generator_loss: 3.17894
[INFO] 2020-09-16 00:03:09 > Step: 37300 Progress: 18.6% Elapsed: 0:50:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.22359
[INFO] 2020-09-16 00:03:13 > Step: 37400 Progress: 18.7% Elapsed: 0:50:53 temperature: no ada_p: No Discriminator_loss: 0.240696 Generator_loss: 5.35108
[INFO] 2020-09-16 00:03:17 > Step: 37500 Progress: 18.8% Elapsed: 0:50:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.5559
[INFO] 2020-09-16 00:03:21 > Step: 37600 Progress: 18.8% Elapsed: 0:51:01 temperature: no ada_p: No Discriminator_loss: 5.02765 Generator_loss: 11.4737
[INFO] 2020-09-16 00:03:25 > Step: 37700 Progress: 18.9% Elapsed: 0:51:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.69436
[INFO] 2020-09-16 00:03:28 > Step: 37800 Progress: 18.9% Elapsed: 0:51:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.42359
[INFO] 2020-09-16 00:03:32 > Step: 37900 Progress: 18.9% Elapsed: 0:51:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.09215
[INFO] 2020-09-16 00:03:36 > Step: 38000 Progress: 19.0% Elapsed: 0:51:16 temperature: no ada_p: No Discriminator_loss: 0.0438991 Generator_loss: 4.46437
[INFO] 2020-09-16 00:03:36 > Start Evaluation (38000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:05:05 > F_8 score (Step: 38000, Using test images): 0.7573118928628144
[INFO] 2020-09-16 00:05:05 > F_1/8 score (Step: 38000, Using test images): 0.842428065196758
[INFO] 2020-09-16 00:05:05 > FID score (Step: 38000, Using test moments): 57.32390784719939
[INFO] 2020-09-16 00:05:05 > Inception score (Step: 38000, 10000 generated images): 5.687410354614258
[INFO] 2020-09-16 00:05:05 > Best FID score (Step: 36000, Using test moments): 43.904601317550146
[INFO] 2020-09-16 00:05:05 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:05:09 > Step: 38100 Progress: 19.1% Elapsed: 0:52:49 temperature: no ada_p: No Discriminator_loss: 0.00507525 Generator_loss: 8.06574
[INFO] 2020-09-16 00:05:13 > Step: 38200 Progress: 19.1% Elapsed: 0:52:53 temperature: no ada_p: No Discriminator_loss: 0.0440095 Generator_loss: 7.34754
[INFO] 2020-09-16 00:05:17 > Step: 38300 Progress: 19.1% Elapsed: 0:52:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.17864
[INFO] 2020-09-16 00:05:21 > Step: 38400 Progress: 19.2% Elapsed: 0:53:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.7285
[INFO] 2020-09-16 00:05:25 > Step: 38500 Progress: 19.2% Elapsed: 0:53:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.81659
[INFO] 2020-09-16 00:05:28 > Step: 38600 Progress: 19.3% Elapsed: 0:53:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.71724
[INFO] 2020-09-16 00:05:33 > Step: 38700 Progress: 19.4% Elapsed: 0:53:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.27335
[INFO] 2020-09-16 00:05:36 > Step: 38800 Progress: 19.4% Elapsed: 0:53:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.424634
[INFO] 2020-09-16 00:05:40 > Step: 38900 Progress: 19.4% Elapsed: 0:53:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.5673
[INFO] 2020-09-16 00:05:44 > Step: 39000 Progress: 19.5% Elapsed: 0:53:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.65692
[INFO] 2020-09-16 00:05:48 > Step: 39100 Progress: 19.6% Elapsed: 0:53:28 temperature: no ada_p: No Discriminator_loss: 0.0545937 Generator_loss: 12.2998
[INFO] 2020-09-16 00:05:52 > Step: 39200 Progress: 19.6% Elapsed: 0:53:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.08559
[INFO] 2020-09-16 00:05:56 > Step: 39300 Progress: 19.7% Elapsed: 0:53:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.37227
[INFO] 2020-09-16 00:05:59 > Step: 39400 Progress: 19.7% Elapsed: 0:53:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.65119
[INFO] 2020-09-16 00:06:04 > Step: 39500 Progress: 19.8% Elapsed: 0:53:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.4812
[INFO] 2020-09-16 00:06:07 > Step: 39600 Progress: 19.8% Elapsed: 0:53:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.02252
[INFO] 2020-09-16 00:06:11 > Step: 39700 Progress: 19.9% Elapsed: 0:53:51 temperature: no ada_p: No Discriminator_loss: 0.0289948 Generator_loss: 4.76041
[INFO] 2020-09-16 00:06:15 > Step: 39800 Progress: 19.9% Elapsed: 0:53:55 temperature: no ada_p: No Discriminator_loss: 0.62731 Generator_loss: 11.3262
[INFO] 2020-09-16 00:06:19 > Step: 39900 Progress: 20.0% Elapsed: 0:53:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.71946
[INFO] 2020-09-16 00:06:23 > Step: 40000 Progress: 20.0% Elapsed: 0:54:03 temperature: no ada_p: No Discriminator_loss: 1.99188 Generator_loss: 9.16655
[INFO] 2020-09-16 00:06:23 > Start Evaluation (40000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:07:51 > F_8 score (Step: 40000, Using test images): 0.8318741063271592
[INFO] 2020-09-16 00:07:51 > F_1/8 score (Step: 40000, Using test images): 0.9116756236539094
[INFO] 2020-09-16 00:07:51 > FID score (Step: 40000, Using test moments): 43.28897019311762
[INFO] 2020-09-16 00:07:51 > Inception score (Step: 40000, 10000 generated images): 6.388494968414307
[INFO] 2020-09-16 00:07:51 > Best FID score (Step: 40000, Using test moments): 43.28897019311762
[INFO] 2020-09-16 00:07:51 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:07:55 > Step: 40100 Progress: 20.1% Elapsed: 0:55:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.08019
[INFO] 2020-09-16 00:07:59 > Step: 40200 Progress: 20.1% Elapsed: 0:55:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.8119
[INFO] 2020-09-16 00:08:03 > Step: 40300 Progress: 20.2% Elapsed: 0:55:43 temperature: no ada_p: No Discriminator_loss: 0.0392545 Generator_loss: 5.98787
[INFO] 2020-09-16 00:08:07 > Step: 40400 Progress: 20.2% Elapsed: 0:55:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.8074
[INFO] 2020-09-16 00:08:10 > Step: 40500 Progress: 20.2% Elapsed: 0:55:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 12.6207
[INFO] 2020-09-16 00:08:14 > Step: 40600 Progress: 20.3% Elapsed: 0:55:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.07267
[INFO] 2020-09-16 00:08:18 > Step: 40700 Progress: 20.3% Elapsed: 0:55:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.27195
[INFO] 2020-09-16 00:08:22 > Step: 40800 Progress: 20.4% Elapsed: 0:56:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.753
[INFO] 2020-09-16 00:08:26 > Step: 40900 Progress: 20.4% Elapsed: 0:56:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.14289
[INFO] 2020-09-16 00:08:30 > Step: 41000 Progress: 20.5% Elapsed: 0:56:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.37298
[INFO] 2020-09-16 00:08:34 > Step: 41100 Progress: 20.5% Elapsed: 0:56:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.71422
[INFO] 2020-09-16 00:08:38 > Step: 41200 Progress: 20.6% Elapsed: 0:56:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.5867
[INFO] 2020-09-16 00:08:41 > Step: 41300 Progress: 20.6% Elapsed: 0:56:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.67324
[INFO] 2020-09-16 00:08:45 > Step: 41400 Progress: 20.7% Elapsed: 0:56:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.43988
[INFO] 2020-09-16 00:08:49 > Step: 41500 Progress: 20.8% Elapsed: 0:56:29 temperature: no ada_p: No Discriminator_loss: 0.124484 Generator_loss: 14.0446
[INFO] 2020-09-16 00:08:53 > Step: 41600 Progress: 20.8% Elapsed: 0:56:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.36564
[INFO] 2020-09-16 00:08:57 > Step: 41700 Progress: 20.8% Elapsed: 0:56:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.23991
[INFO] 2020-09-16 00:09:01 > Step: 41800 Progress: 20.9% Elapsed: 0:56:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.30356
[INFO] 2020-09-16 00:09:05 > Step: 41900 Progress: 20.9% Elapsed: 0:56:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.91402
[INFO] 2020-09-16 00:09:09 > Step: 42000 Progress: 21.0% Elapsed: 0:56:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.66094
[INFO] 2020-09-16 00:09:09 > Start Evaluation (42000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:10:39 > F_8 score (Step: 42000, Using test images): 0.7658531792475091
[INFO] 2020-09-16 00:10:39 > F_1/8 score (Step: 42000, Using test images): 0.8540755826951648
[INFO] 2020-09-16 00:10:39 > FID score (Step: 42000, Using test moments): 52.096391613448645
[INFO] 2020-09-16 00:10:39 > Inception score (Step: 42000, 10000 generated images): 6.67948055267334
[INFO] 2020-09-16 00:10:39 > Best FID score (Step: 40000, Using test moments): 43.28897019311762
[INFO] 2020-09-16 00:10:39 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:10:42 > Step: 42100 Progress: 21.1% Elapsed: 0:58:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.00673
[INFO] 2020-09-16 00:10:47 > Step: 42200 Progress: 21.1% Elapsed: 0:58:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 18.466
[INFO] 2020-09-16 00:10:50 > Step: 42300 Progress: 21.1% Elapsed: 0:58:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.6417
[INFO] 2020-09-16 00:10:54 > Step: 42400 Progress: 21.2% Elapsed: 0:58:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.64292
[INFO] 2020-09-16 00:10:58 > Step: 42500 Progress: 21.2% Elapsed: 0:58:38 temperature: no ada_p: No Discriminator_loss: 0.0170891 Generator_loss: 5.97649
[INFO] 2020-09-16 00:11:02 > Step: 42600 Progress: 21.3% Elapsed: 0:58:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.42499
[INFO] 2020-09-16 00:11:06 > Step: 42700 Progress: 21.3% Elapsed: 0:58:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.6036
[INFO] 2020-09-16 00:11:10 > Step: 42800 Progress: 21.4% Elapsed: 0:58:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.58025
[INFO] 2020-09-16 00:11:13 > Step: 42900 Progress: 21.4% Elapsed: 0:58:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.43109
[INFO] 2020-09-16 00:11:18 > Step: 43000 Progress: 21.5% Elapsed: 0:58:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.02233
[INFO] 2020-09-16 00:11:21 > Step: 43100 Progress: 21.6% Elapsed: 0:59:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.92183
[INFO] 2020-09-16 00:11:25 > Step: 43200 Progress: 21.6% Elapsed: 0:59:05 temperature: no ada_p: No Discriminator_loss: 0.00639895 Generator_loss: 3.61976
[INFO] 2020-09-16 00:11:29 > Step: 43300 Progress: 21.6% Elapsed: 0:59:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.69444
[INFO] 2020-09-16 00:11:33 > Step: 43400 Progress: 21.7% Elapsed: 0:59:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.2157
[INFO] 2020-09-16 00:11:37 > Step: 43500 Progress: 21.8% Elapsed: 0:59:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.73101
[INFO] 2020-09-16 00:11:41 > Step: 43600 Progress: 21.8% Elapsed: 0:59:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.74335
[INFO] 2020-09-16 00:11:44 > Step: 43700 Progress: 21.9% Elapsed: 0:59:25 temperature: no ada_p: No Discriminator_loss: 1.29779 Generator_loss: 5.13206
[INFO] 2020-09-16 00:11:49 > Step: 43800 Progress: 21.9% Elapsed: 0:59:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.1942
[INFO] 2020-09-16 00:11:52 > Step: 43900 Progress: 21.9% Elapsed: 0:59:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.54117
[INFO] 2020-09-16 00:11:56 > Step: 44000 Progress: 22.0% Elapsed: 0:59:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.08404
[INFO] 2020-09-16 00:11:56 > Start Evaluation (44000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:13:24 > F_8 score (Step: 44000, Using test images): 0.8233734503138376
[INFO] 2020-09-16 00:13:24 > F_1/8 score (Step: 44000, Using test images): 0.8683048647395986
[INFO] 2020-09-16 00:13:24 > FID score (Step: 44000, Using test moments): 46.00672320115473
[INFO] 2020-09-16 00:13:24 > Inception score (Step: 44000, 10000 generated images): 6.856417655944824
[INFO] 2020-09-16 00:13:24 > Best FID score (Step: 40000, Using test moments): 43.28897019311762
[INFO] 2020-09-16 00:13:25 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:13:28 > Step: 44100 Progress: 22.1% Elapsed: 1:01:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.48775
[INFO] 2020-09-16 00:13:32 > Step: 44200 Progress: 22.1% Elapsed: 1:01:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.5147
[INFO] 2020-09-16 00:13:36 > Step: 44300 Progress: 22.1% Elapsed: 1:01:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.58078
[INFO] 2020-09-16 00:13:40 > Step: 44400 Progress: 22.2% Elapsed: 1:01:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.10492
[INFO] 2020-09-16 00:13:44 > Step: 44500 Progress: 22.2% Elapsed: 1:01:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.39142
[INFO] 2020-09-16 00:13:48 > Step: 44600 Progress: 22.3% Elapsed: 1:01:28 temperature: no ada_p: No Discriminator_loss: 0.000567165 Generator_loss: 4.8232
[INFO] 2020-09-16 00:13:52 > Step: 44700 Progress: 22.4% Elapsed: 1:01:32 temperature: no ada_p: No Discriminator_loss: 0.0187525 Generator_loss: 1.74746
[INFO] 2020-09-16 00:13:55 > Step: 44800 Progress: 22.4% Elapsed: 1:01:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.62674
[INFO] 2020-09-16 00:13:59 > Step: 44900 Progress: 22.4% Elapsed: 1:01:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.72227
[INFO] 2020-09-16 00:14:03 > Step: 45000 Progress: 22.5% Elapsed: 1:01:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.22462
[INFO] 2020-09-16 00:14:07 > Step: 45100 Progress: 22.6% Elapsed: 1:01:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.21141
[INFO] 2020-09-16 00:14:11 > Step: 45200 Progress: 22.6% Elapsed: 1:01:51 temperature: no ada_p: No Discriminator_loss: 3.50559 Generator_loss: 7.8031
[INFO] 2020-09-16 00:14:15 > Step: 45300 Progress: 22.7% Elapsed: 1:01:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.62439
[INFO] 2020-09-16 00:14:19 > Step: 45400 Progress: 22.7% Elapsed: 1:01:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.77111
[INFO] 2020-09-16 00:14:23 > Step: 45500 Progress: 22.8% Elapsed: 1:02:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.06334
[INFO] 2020-09-16 00:14:27 > Step: 45600 Progress: 22.8% Elapsed: 1:02:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.84554
[INFO] 2020-09-16 00:14:31 > Step: 45700 Progress: 22.9% Elapsed: 1:02:11 temperature: no ada_p: No Discriminator_loss: 0.0600329 Generator_loss: 8.99739
[INFO] 2020-09-16 00:14:34 > Step: 45800 Progress: 22.9% Elapsed: 1:02:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.0973
[INFO] 2020-09-16 00:14:38 > Step: 45900 Progress: 22.9% Elapsed: 1:02:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.62218
[INFO] 2020-09-16 00:14:42 > Step: 46000 Progress: 23.0% Elapsed: 1:02:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.9899
[INFO] 2020-09-16 00:14:42 > Start Evaluation (46000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:16:11 > F_8 score (Step: 46000, Using test images): 0.822302419084551
[INFO] 2020-09-16 00:16:11 > F_1/8 score (Step: 46000, Using test images): 0.9163472605870641
[INFO] 2020-09-16 00:16:11 > FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:16:11 > Inception score (Step: 46000, 10000 generated images): 6.226558685302734
[INFO] 2020-09-16 00:16:11 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:16:11 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:16:16 > Step: 46100 Progress: 23.1% Elapsed: 1:03:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.40502
[INFO] 2020-09-16 00:16:19 > Step: 46200 Progress: 23.1% Elapsed: 1:04:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.00143
[INFO] 2020-09-16 00:16:23 > Step: 46300 Progress: 23.2% Elapsed: 1:04:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.74367
[INFO] 2020-09-16 00:16:27 > Step: 46400 Progress: 23.2% Elapsed: 1:04:07 temperature: no ada_p: No Discriminator_loss: 0.00246693 Generator_loss: 10.1701
[INFO] 2020-09-16 00:16:31 > Step: 46500 Progress: 23.2% Elapsed: 1:04:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.84502
[INFO] 2020-09-16 00:16:35 > Step: 46600 Progress: 23.3% Elapsed: 1:04:15 temperature: no ada_p: No Discriminator_loss: 1.47136 Generator_loss: 8.94133
[INFO] 2020-09-16 00:16:39 > Step: 46700 Progress: 23.4% Elapsed: 1:04:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.20478
[INFO] 2020-09-16 00:16:42 > Step: 46800 Progress: 23.4% Elapsed: 1:04:23 temperature: no ada_p: No Discriminator_loss: 0.647468 Generator_loss: 9.8353
[INFO] 2020-09-16 00:16:47 > Step: 46900 Progress: 23.4% Elapsed: 1:04:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.71964
[INFO] 2020-09-16 00:16:50 > Step: 47000 Progress: 23.5% Elapsed: 1:04:31 temperature: no ada_p: No Discriminator_loss: 2.6301 Generator_loss: 2.19057
[INFO] 2020-09-16 00:16:54 > Step: 47100 Progress: 23.5% Elapsed: 1:04:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 14.2
[INFO] 2020-09-16 00:16:58 > Step: 47200 Progress: 23.6% Elapsed: 1:04:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.50123
[INFO] 2020-09-16 00:17:02 > Step: 47300 Progress: 23.6% Elapsed: 1:04:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.30177
[INFO] 2020-09-16 00:17:06 > Step: 47400 Progress: 23.7% Elapsed: 1:04:46 temperature: no ada_p: No Discriminator_loss: 0.0310892 Generator_loss: 6.88422
[INFO] 2020-09-16 00:17:10 > Step: 47500 Progress: 23.8% Elapsed: 1:04:50 temperature: no ada_p: No Discriminator_loss: 0.308062 Generator_loss: 7.15011
[INFO] 2020-09-16 00:17:13 > Step: 47600 Progress: 23.8% Elapsed: 1:04:54 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.64119
[INFO] 2020-09-16 00:17:18 > Step: 47700 Progress: 23.8% Elapsed: 1:04:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.39552
[INFO] 2020-09-16 00:17:21 > Step: 47800 Progress: 23.9% Elapsed: 1:05:02 temperature: no ada_p: No Discriminator_loss: 0.0138038 Generator_loss: 8.53832
[INFO] 2020-09-16 00:17:25 > Step: 47900 Progress: 23.9% Elapsed: 1:05:05 temperature: no ada_p: No Discriminator_loss: 0.00197466 Generator_loss: 5.94253
[INFO] 2020-09-16 00:17:29 > Step: 48000 Progress: 24.0% Elapsed: 1:05:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.61498
[INFO] 2020-09-16 00:17:29 > Start Evaluation (48000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:18:59 > F_8 score (Step: 48000, Using test images): 0.8385725583839293
[INFO] 2020-09-16 00:18:59 > F_1/8 score (Step: 48000, Using test images): 0.8894893450564817
[INFO] 2020-09-16 00:18:59 > FID score (Step: 48000, Using test moments): 52.220253710968905
[INFO] 2020-09-16 00:18:59 > Inception score (Step: 48000, 10000 generated images): 6.634151935577393
[INFO] 2020-09-16 00:18:59 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:18:59 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:19:03 > Step: 48100 Progress: 24.1% Elapsed: 1:06:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.39698
[INFO] 2020-09-16 00:19:07 > Step: 48200 Progress: 24.1% Elapsed: 1:06:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.94248
[INFO] 2020-09-16 00:19:11 > Step: 48300 Progress: 24.1% Elapsed: 1:06:51 temperature: no ada_p: No Discriminator_loss: 0.141517 Generator_loss: 5.68805
[INFO] 2020-09-16 00:19:15 > Step: 48400 Progress: 24.2% Elapsed: 1:06:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.75559
[INFO] 2020-09-16 00:19:19 > Step: 48500 Progress: 24.2% Elapsed: 1:06:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.99396
[INFO] 2020-09-16 00:19:23 > Step: 48600 Progress: 24.3% Elapsed: 1:07:03 temperature: no ada_p: No Discriminator_loss: 0.115073 Generator_loss: 5.82158
[INFO] 2020-09-16 00:19:26 > Step: 48700 Progress: 24.3% Elapsed: 1:07:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.24708
[INFO] 2020-09-16 00:19:30 > Step: 48800 Progress: 24.4% Elapsed: 1:07:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.74354
[INFO] 2020-09-16 00:19:34 > Step: 48900 Progress: 24.4% Elapsed: 1:07:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.9562
[INFO] 2020-09-16 00:19:38 > Step: 49000 Progress: 24.5% Elapsed: 1:07:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.83354
[INFO] 2020-09-16 00:19:42 > Step: 49100 Progress: 24.6% Elapsed: 1:07:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.50369
[INFO] 2020-09-16 00:19:46 > Step: 49200 Progress: 24.6% Elapsed: 1:07:26 temperature: no ada_p: No Discriminator_loss: 0.02329 Generator_loss: 5.2687
[INFO] 2020-09-16 00:19:50 > Step: 49300 Progress: 24.6% Elapsed: 1:07:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.85651
[INFO] 2020-09-16 00:19:54 > Step: 49400 Progress: 24.7% Elapsed: 1:07:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.25961
[INFO] 2020-09-16 00:19:57 > Step: 49500 Progress: 24.8% Elapsed: 1:07:37 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.92851
[INFO] 2020-09-16 00:20:01 > Step: 49600 Progress: 24.8% Elapsed: 1:07:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.0826
[INFO] 2020-09-16 00:20:05 > Step: 49700 Progress: 24.9% Elapsed: 1:07:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.85241
[INFO] 2020-09-16 00:20:09 > Step: 49800 Progress: 24.9% Elapsed: 1:07:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.93885
[INFO] 2020-09-16 00:20:13 > Step: 49900 Progress: 24.9% Elapsed: 1:07:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.00655
[INFO] 2020-09-16 00:20:17 > Step: 50000 Progress: 25.0% Elapsed: 1:07:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.82639
[INFO] 2020-09-16 00:20:17 > Start Evaluation (50000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:21:46 > F_8 score (Step: 50000, Using test images): 0.803101522413567
[INFO] 2020-09-16 00:21:46 > F_1/8 score (Step: 50000, Using test images): 0.8873726000817496
[INFO] 2020-09-16 00:21:46 > FID score (Step: 50000, Using test moments): 49.777360186486476
[INFO] 2020-09-16 00:21:46 > Inception score (Step: 50000, 10000 generated images): 5.803001880645752
[INFO] 2020-09-16 00:21:46 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:21:46 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:21:50 > Step: 50100 Progress: 25.1% Elapsed: 1:09:30 temperature: no ada_p: No Discriminator_loss: 0.00706571 Generator_loss: 7.82954
[INFO] 2020-09-16 00:21:54 > Step: 50200 Progress: 25.1% Elapsed: 1:09:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.43391
[INFO] 2020-09-16 00:21:57 > Step: 50300 Progress: 25.1% Elapsed: 1:09:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.3481
[INFO] 2020-09-16 00:22:02 > Step: 50400 Progress: 25.2% Elapsed: 1:09:42 temperature: no ada_p: No Discriminator_loss: 0.00572789 Generator_loss: 3.43758
[INFO] 2020-09-16 00:22:05 > Step: 50500 Progress: 25.2% Elapsed: 1:09:45 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.59038
[INFO] 2020-09-16 00:22:09 > Step: 50600 Progress: 25.3% Elapsed: 1:09:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.73735
[INFO] 2020-09-16 00:22:13 > Step: 50700 Progress: 25.4% Elapsed: 1:09:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.79345
[INFO] 2020-09-16 00:22:17 > Step: 50800 Progress: 25.4% Elapsed: 1:09:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.754
[INFO] 2020-09-16 00:22:21 > Step: 50900 Progress: 25.4% Elapsed: 1:10:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.08766
[INFO] 2020-09-16 00:22:25 > Step: 51000 Progress: 25.5% Elapsed: 1:10:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.3931
[INFO] 2020-09-16 00:22:28 > Step: 51100 Progress: 25.6% Elapsed: 1:10:09 temperature: no ada_p: No Discriminator_loss: 0.00287011 Generator_loss: 2.80066
[INFO] 2020-09-16 00:22:33 > Step: 51200 Progress: 25.6% Elapsed: 1:10:13 temperature: no ada_p: No Discriminator_loss: 0.00621646 Generator_loss: 2.66907
[INFO] 2020-09-16 00:22:36 > Step: 51300 Progress: 25.7% Elapsed: 1:10:16 temperature: no ada_p: No Discriminator_loss: 0.254696 Generator_loss: 10.8921
[INFO] 2020-09-16 00:22:40 > Step: 51400 Progress: 25.7% Elapsed: 1:10:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.13069
[INFO] 2020-09-16 00:22:44 > Step: 51500 Progress: 25.8% Elapsed: 1:10:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.71835
[INFO] 2020-09-16 00:22:48 > Step: 51600 Progress: 25.8% Elapsed: 1:10:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.89234
[INFO] 2020-09-16 00:22:52 > Step: 51700 Progress: 25.9% Elapsed: 1:10:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.12764
[INFO] 2020-09-16 00:22:56 > Step: 51800 Progress: 25.9% Elapsed: 1:10:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.97365
[INFO] 2020-09-16 00:22:59 > Step: 51900 Progress: 25.9% Elapsed: 1:10:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.4563
[INFO] 2020-09-16 00:23:04 > Step: 52000 Progress: 26.0% Elapsed: 1:10:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.38422
[INFO] 2020-09-16 00:23:04 > Start Evaluation (52000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:24:33 > F_8 score (Step: 52000, Using test images): 0.828441509437453
[INFO] 2020-09-16 00:24:33 > F_1/8 score (Step: 52000, Using test images): 0.923049845083646
[INFO] 2020-09-16 00:24:33 > FID score (Step: 52000, Using test moments): 43.06304182361015
[INFO] 2020-09-16 00:24:33 > Inception score (Step: 52000, 10000 generated images): 6.773764610290527
[INFO] 2020-09-16 00:24:33 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:24:33 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:24:37 > Step: 52100 Progress: 26.1% Elapsed: 1:12:17 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.83291
[INFO] 2020-09-16 00:24:41 > Step: 52200 Progress: 26.1% Elapsed: 1:12:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.60458
[INFO] 2020-09-16 00:24:44 > Step: 52300 Progress: 26.2% Elapsed: 1:12:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.53597
[INFO] 2020-09-16 00:24:49 > Step: 52400 Progress: 26.2% Elapsed: 1:12:29 temperature: no ada_p: No Discriminator_loss: 0.0211531 Generator_loss: 7.82354
[INFO] 2020-09-16 00:24:52 > Step: 52500 Progress: 26.2% Elapsed: 1:12:33 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.06492
[INFO] 2020-09-16 00:24:56 > Step: 52600 Progress: 26.3% Elapsed: 1:12:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.27962
[INFO] 2020-09-16 00:25:00 > Step: 52700 Progress: 26.4% Elapsed: 1:12:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.00449
[INFO] 2020-09-16 00:25:04 > Step: 52800 Progress: 26.4% Elapsed: 1:12:44 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.92104
[INFO] 2020-09-16 00:25:08 > Step: 52900 Progress: 26.5% Elapsed: 1:12:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.3074
[INFO] 2020-09-16 00:25:12 > Step: 53000 Progress: 26.5% Elapsed: 1:12:52 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.6956
[INFO] 2020-09-16 00:25:15 > Step: 53100 Progress: 26.6% Elapsed: 1:12:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.84473
[INFO] 2020-09-16 00:25:20 > Step: 53200 Progress: 26.6% Elapsed: 1:13:00 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.63355
[INFO] 2020-09-16 00:25:23 > Step: 53300 Progress: 26.7% Elapsed: 1:13:04 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.10902
[INFO] 2020-09-16 00:25:27 > Step: 53400 Progress: 26.7% Elapsed: 1:13:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.24076
[INFO] 2020-09-16 00:25:31 > Step: 53500 Progress: 26.8% Elapsed: 1:13:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.55975
[INFO] 2020-09-16 00:25:35 > Step: 53600 Progress: 26.8% Elapsed: 1:13:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.14795
[INFO] 2020-09-16 00:25:39 > Step: 53700 Progress: 26.9% Elapsed: 1:13:19 temperature: no ada_p: No Discriminator_loss: 0.00919728 Generator_loss: 6.7915
[INFO] 2020-09-16 00:25:43 > Step: 53800 Progress: 26.9% Elapsed: 1:13:23 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 14.9975
[INFO] 2020-09-16 00:25:47 > Step: 53900 Progress: 27.0% Elapsed: 1:13:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.28856
[INFO] 2020-09-16 00:25:51 > Step: 54000 Progress: 27.0% Elapsed: 1:13:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.45408
[INFO] 2020-09-16 00:25:51 > Start Evaluation (54000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:27:21 > F_8 score (Step: 54000, Using test images): 0.8196263736265287
[INFO] 2020-09-16 00:27:21 > F_1/8 score (Step: 54000, Using test images): 0.920274557789588
[INFO] 2020-09-16 00:27:21 > FID score (Step: 54000, Using test moments): 43.355264891326556
[INFO] 2020-09-16 00:27:21 > Inception score (Step: 54000, 10000 generated images): 6.618311405181885
[INFO] 2020-09-16 00:27:21 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:27:21 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:27:24 > Step: 54100 Progress: 27.1% Elapsed: 1:15:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.54621
[INFO] 2020-09-16 00:27:28 > Step: 54200 Progress: 27.1% Elapsed: 1:15:08 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.77916
[INFO] 2020-09-16 00:27:32 > Step: 54300 Progress: 27.2% Elapsed: 1:15:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.83753
[INFO] 2020-09-16 00:27:36 > Step: 54400 Progress: 27.2% Elapsed: 1:15:16 temperature: no ada_p: No Discriminator_loss: 1.47028 Generator_loss: 3.51943
[INFO] 2020-09-16 00:27:40 > Step: 54500 Progress: 27.3% Elapsed: 1:15:20 temperature: no ada_p: No Discriminator_loss: 0.0501939 Generator_loss: 8.90382
[INFO] 2020-09-16 00:27:44 > Step: 54600 Progress: 27.3% Elapsed: 1:15:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.1912
[INFO] 2020-09-16 00:27:48 > Step: 54700 Progress: 27.4% Elapsed: 1:15:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.6812
[INFO] 2020-09-16 00:27:52 > Step: 54800 Progress: 27.4% Elapsed: 1:15:32 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.3627
[INFO] 2020-09-16 00:27:56 > Step: 54900 Progress: 27.5% Elapsed: 1:15:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.28677
[INFO] 2020-09-16 00:27:59 > Step: 55000 Progress: 27.5% Elapsed: 1:15:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.33455
[INFO] 2020-09-16 00:28:03 > Step: 55100 Progress: 27.6% Elapsed: 1:15:44 temperature: no ada_p: No Discriminator_loss: 0.00809025 Generator_loss: 5.11916
[INFO] 2020-09-16 00:28:07 > Step: 55200 Progress: 27.6% Elapsed: 1:15:47 temperature: no ada_p: No Discriminator_loss: 0.00895973 Generator_loss: 3.90413
[INFO] 2020-09-16 00:28:11 > Step: 55300 Progress: 27.7% Elapsed: 1:15:51 temperature: no ada_p: No Discriminator_loss: 0.0233095 Generator_loss: 10.8388
[INFO] 2020-09-16 00:28:15 > Step: 55400 Progress: 27.7% Elapsed: 1:15:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.4854
[INFO] 2020-09-16 00:28:19 > Step: 55500 Progress: 27.8% Elapsed: 1:15:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.63083
[INFO] 2020-09-16 00:28:23 > Step: 55600 Progress: 27.8% Elapsed: 1:16:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.27922
[INFO] 2020-09-16 00:28:27 > Step: 55700 Progress: 27.9% Elapsed: 1:16:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.71257
[INFO] 2020-09-16 00:28:30 > Step: 55800 Progress: 27.9% Elapsed: 1:16:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.06049
[INFO] 2020-09-16 00:28:34 > Step: 55900 Progress: 28.0% Elapsed: 1:16:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.76829
[INFO] 2020-09-16 00:28:38 > Step: 56000 Progress: 28.0% Elapsed: 1:16:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.4186
[INFO] 2020-09-16 00:28:38 > Start Evaluation (56000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:30:07 > F_8 score (Step: 56000, Using test images): 0.8301227453779771
[INFO] 2020-09-16 00:30:07 > F_1/8 score (Step: 56000, Using test images): 0.8875437702067548
[INFO] 2020-09-16 00:30:07 > FID score (Step: 56000, Using test moments): 47.85844166127379
[INFO] 2020-09-16 00:30:07 > Inception score (Step: 56000, 10000 generated images): 6.518248081207275
[INFO] 2020-09-16 00:30:07 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:30:07 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:30:11 > Step: 56100 Progress: 28.1% Elapsed: 1:17:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.0041
[INFO] 2020-09-16 00:30:15 > Step: 56200 Progress: 28.1% Elapsed: 1:17:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 14.2768
[INFO] 2020-09-16 00:30:19 > Step: 56300 Progress: 28.1% Elapsed: 1:17:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.59746
[INFO] 2020-09-16 00:30:23 > Step: 56400 Progress: 28.2% Elapsed: 1:18:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.87359
[INFO] 2020-09-16 00:30:27 > Step: 56500 Progress: 28.2% Elapsed: 1:18:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.49123
[INFO] 2020-09-16 00:30:30 > Step: 56600 Progress: 28.3% Elapsed: 1:18:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.6405
[INFO] 2020-09-16 00:30:34 > Step: 56700 Progress: 28.3% Elapsed: 1:18:15 temperature: no ada_p: No Discriminator_loss: 0.0899593 Generator_loss: 8.2265
[INFO] 2020-09-16 00:30:38 > Step: 56800 Progress: 28.4% Elapsed: 1:18:18 temperature: no ada_p: No Discriminator_loss: 0.00947176 Generator_loss: 6.37443
[INFO] 2020-09-16 00:30:42 > Step: 56900 Progress: 28.4% Elapsed: 1:18:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.37599
[INFO] 2020-09-16 00:30:46 > Step: 57000 Progress: 28.5% Elapsed: 1:18:26 temperature: no ada_p: No Discriminator_loss: 0.042714 Generator_loss: 6.26915
[INFO] 2020-09-16 00:30:50 > Step: 57100 Progress: 28.5% Elapsed: 1:18:30 temperature: no ada_p: No Discriminator_loss: 0.0222562 Generator_loss: 8.09558
[INFO] 2020-09-16 00:30:54 > Step: 57200 Progress: 28.6% Elapsed: 1:18:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.6808
[INFO] 2020-09-16 00:30:58 > Step: 57300 Progress: 28.6% Elapsed: 1:18:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.85772
[INFO] 2020-09-16 00:31:01 > Step: 57400 Progress: 28.7% Elapsed: 1:18:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.18305
[INFO] 2020-09-16 00:31:05 > Step: 57500 Progress: 28.7% Elapsed: 1:18:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.34759
[INFO] 2020-09-16 00:31:09 > Step: 57600 Progress: 28.8% Elapsed: 1:18:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.78193
[INFO] 2020-09-16 00:31:13 > Step: 57700 Progress: 28.8% Elapsed: 1:18:53 temperature: no ada_p: No Discriminator_loss: 0.00913793 Generator_loss: 7.37816
[INFO] 2020-09-16 00:31:17 > Step: 57800 Progress: 28.9% Elapsed: 1:18:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.32083
[INFO] 2020-09-16 00:31:21 > Step: 57900 Progress: 28.9% Elapsed: 1:19:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 14.2631
[INFO] 2020-09-16 00:31:25 > Step: 58000 Progress: 29.0% Elapsed: 1:19:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.4198
[INFO] 2020-09-16 00:31:25 > Start Evaluation (58000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:32:55 > F_8 score (Step: 58000, Using test images): 0.7442372721186956
[INFO] 2020-09-16 00:32:55 > F_1/8 score (Step: 58000, Using test images): 0.8422798588292797
[INFO] 2020-09-16 00:32:55 > FID score (Step: 58000, Using test moments): 58.08822615097722
[INFO] 2020-09-16 00:32:55 > Inception score (Step: 58000, 10000 generated images): 6.0331878662109375
[INFO] 2020-09-16 00:32:55 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:32:56 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:32:59 > Step: 58100 Progress: 29.0% Elapsed: 1:20:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.89564
[INFO] 2020-09-16 00:33:03 > Step: 58200 Progress: 29.1% Elapsed: 1:20:44 temperature: no ada_p: No Discriminator_loss: 0.0381139 Generator_loss: 11.2514
[INFO] 2020-09-16 00:33:07 > Step: 58300 Progress: 29.1% Elapsed: 1:20:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.7507
[INFO] 2020-09-16 00:33:11 > Step: 58400 Progress: 29.2% Elapsed: 1:20:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 12.9594
[INFO] 2020-09-16 00:33:15 > Step: 58500 Progress: 29.2% Elapsed: 1:20:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.8255
[INFO] 2020-09-16 00:33:19 > Step: 58600 Progress: 29.3% Elapsed: 1:20:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.60521
[INFO] 2020-09-16 00:33:23 > Step: 58700 Progress: 29.3% Elapsed: 1:21:03 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.9877
[INFO] 2020-09-16 00:33:26 > Step: 58800 Progress: 29.4% Elapsed: 1:21:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.52907
[INFO] 2020-09-16 00:33:30 > Step: 58900 Progress: 29.4% Elapsed: 1:21:10 temperature: no ada_p: No Discriminator_loss: 0.00950417 Generator_loss: 4.52559
[INFO] 2020-09-16 00:33:34 > Step: 59000 Progress: 29.5% Elapsed: 1:21:15 temperature: no ada_p: No Discriminator_loss: 0.00557895 Generator_loss: 9.23332
[INFO] 2020-09-16 00:33:38 > Step: 59100 Progress: 29.5% Elapsed: 1:21:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.38908
[INFO] 2020-09-16 00:33:42 > Step: 59200 Progress: 29.6% Elapsed: 1:21:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.40452
[INFO] 2020-09-16 00:33:46 > Step: 59300 Progress: 29.6% Elapsed: 1:21:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.98581
[INFO] 2020-09-16 00:33:50 > Step: 59400 Progress: 29.7% Elapsed: 1:21:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.4594
[INFO] 2020-09-16 00:33:54 > Step: 59500 Progress: 29.8% Elapsed: 1:21:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.82328
[INFO] 2020-09-16 00:33:57 > Step: 59600 Progress: 29.8% Elapsed: 1:21:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.5278
[INFO] 2020-09-16 00:34:01 > Step: 59700 Progress: 29.8% Elapsed: 1:21:41 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.33984
[INFO] 2020-09-16 00:34:05 > Step: 59800 Progress: 29.9% Elapsed: 1:21:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.2644
[INFO] 2020-09-16 00:34:09 > Step: 59900 Progress: 29.9% Elapsed: 1:21:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.8355
[INFO] 2020-09-16 00:34:13 > Step: 60000 Progress: 30.0% Elapsed: 1:21:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.81795
[INFO] 2020-09-16 00:34:13 > Start Evaluation (60000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:35:42 > F_8 score (Step: 60000, Using test images): 0.8207737058445533
[INFO] 2020-09-16 00:35:42 > F_1/8 score (Step: 60000, Using test images): 0.8214823540185053
[INFO] 2020-09-16 00:35:42 > FID score (Step: 60000, Using test moments): 51.11196985728429
[INFO] 2020-09-16 00:35:42 > Inception score (Step: 60000, 10000 generated images): 6.563885688781738
[INFO] 2020-09-16 00:35:42 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:35:42 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:35:46 > Step: 60100 Progress: 30.0% Elapsed: 1:23:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.31492
[INFO] 2020-09-16 00:35:50 > Step: 60200 Progress: 30.1% Elapsed: 1:23:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.27571
[INFO] 2020-09-16 00:35:54 > Step: 60300 Progress: 30.1% Elapsed: 1:23:34 temperature: no ada_p: No Discriminator_loss: 3.52692 Generator_loss: 8.31867
[INFO] 2020-09-16 00:35:58 > Step: 60400 Progress: 30.2% Elapsed: 1:23:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.06746
[INFO] 2020-09-16 00:36:02 > Step: 60500 Progress: 30.2% Elapsed: 1:23:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.9182
[INFO] 2020-09-16 00:36:06 > Step: 60600 Progress: 30.3% Elapsed: 1:23:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.74271
[INFO] 2020-09-16 00:36:10 > Step: 60700 Progress: 30.3% Elapsed: 1:23:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.52489
[INFO] 2020-09-16 00:36:13 > Step: 60800 Progress: 30.4% Elapsed: 1:23:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 12.8413
[INFO] 2020-09-16 00:36:17 > Step: 60900 Progress: 30.4% Elapsed: 1:23:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.37551
[INFO] 2020-09-16 00:36:21 > Step: 61000 Progress: 30.5% Elapsed: 1:24:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.1491
[INFO] 2020-09-16 00:36:25 > Step: 61100 Progress: 30.6% Elapsed: 1:24:05 temperature: no ada_p: No Discriminator_loss: 0.0115398 Generator_loss: 10.2136
[INFO] 2020-09-16 00:36:29 > Step: 61200 Progress: 30.6% Elapsed: 1:24:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.45437
[INFO] 2020-09-16 00:36:33 > Step: 61300 Progress: 30.6% Elapsed: 1:24:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.32225
[INFO] 2020-09-16 00:36:37 > Step: 61400 Progress: 30.7% Elapsed: 1:24:17 temperature: no ada_p: No Discriminator_loss: 0.213694 Generator_loss: 4.79772
[INFO] 2020-09-16 00:36:41 > Step: 61500 Progress: 30.8% Elapsed: 1:24:21 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 1.04684
[INFO] 2020-09-16 00:36:44 > Step: 61600 Progress: 30.8% Elapsed: 1:24:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.062
[INFO] 2020-09-16 00:36:48 > Step: 61700 Progress: 30.9% Elapsed: 1:24:29 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: -1.11659
[INFO] 2020-09-16 00:36:52 > Step: 61800 Progress: 30.9% Elapsed: 1:24:32 temperature: no ada_p: No Discriminator_loss: 0.00196256 Generator_loss: 4.16743
[INFO] 2020-09-16 00:36:56 > Step: 61900 Progress: 30.9% Elapsed: 1:24:36 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.57395
[INFO] 2020-09-16 00:37:00 > Step: 62000 Progress: 31.0% Elapsed: 1:24:40 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.6353
[INFO] 2020-09-16 00:37:00 > Start Evaluation (62000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:38:28 > F_8 score (Step: 62000, Using test images): 0.7933995684901011
[INFO] 2020-09-16 00:38:28 > F_1/8 score (Step: 62000, Using test images): 0.8884223959793901
[INFO] 2020-09-16 00:38:28 > FID score (Step: 62000, Using test moments): 48.33824182095111
[INFO] 2020-09-16 00:38:28 > Inception score (Step: 62000, 10000 generated images): 6.345508575439453
[INFO] 2020-09-16 00:38:28 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:38:28 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:38:32 > Step: 62100 Progress: 31.1% Elapsed: 1:26:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.91901
[INFO] 2020-09-16 00:38:36 > Step: 62200 Progress: 31.1% Elapsed: 1:26:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.70788
[INFO] 2020-09-16 00:38:40 > Step: 62300 Progress: 31.1% Elapsed: 1:26:20 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 15.5487
[INFO] 2020-09-16 00:38:43 > Step: 62400 Progress: 31.2% Elapsed: 1:26:24 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.8709
[INFO] 2020-09-16 00:38:48 > Step: 62500 Progress: 31.2% Elapsed: 1:26:28 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 0.045858
[INFO] 2020-09-16 00:38:51 > Step: 62600 Progress: 31.3% Elapsed: 1:26:31 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.63801
[INFO] 2020-09-16 00:38:55 > Step: 62700 Progress: 31.4% Elapsed: 1:26:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.767
[INFO] 2020-09-16 00:38:59 > Step: 62800 Progress: 31.4% Elapsed: 1:26:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.42923
[INFO] 2020-09-16 00:39:03 > Step: 62900 Progress: 31.4% Elapsed: 1:26:43 temperature: no ada_p: No Discriminator_loss: 0.0589454 Generator_loss: 9.13402
[INFO] 2020-09-16 00:39:07 > Step: 63000 Progress: 31.5% Elapsed: 1:26:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.00183
[INFO] 2020-09-16 00:39:11 > Step: 63100 Progress: 31.6% Elapsed: 1:26:51 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.43386
[INFO] 2020-09-16 00:39:14 > Step: 63200 Progress: 31.6% Elapsed: 1:26:55 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.841
[INFO] 2020-09-16 00:39:19 > Step: 63300 Progress: 31.6% Elapsed: 1:26:59 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.04434
[INFO] 2020-09-16 00:39:22 > Step: 63400 Progress: 31.7% Elapsed: 1:27:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.4717
[INFO] 2020-09-16 00:39:26 > Step: 63500 Progress: 31.8% Elapsed: 1:27:06 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 17.6612
[INFO] 2020-09-16 00:39:30 > Step: 63600 Progress: 31.8% Elapsed: 1:27:10 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.6157
[INFO] 2020-09-16 00:39:34 > Step: 63700 Progress: 31.9% Elapsed: 1:27:14 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 14.5501
[INFO] 2020-09-16 00:39:38 > Step: 63800 Progress: 31.9% Elapsed: 1:27:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 15.8085
[INFO] 2020-09-16 00:39:42 > Step: 63900 Progress: 31.9% Elapsed: 1:27:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.93462
[INFO] 2020-09-16 00:39:45 > Step: 64000 Progress: 32.0% Elapsed: 1:27:25 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.51198
[INFO] 2020-09-16 00:39:45 > Start Evaluation (64000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:41:15 > F_8 score (Step: 64000, Using test images): 0.6887675925462969
[INFO] 2020-09-16 00:41:15 > F_1/8 score (Step: 64000, Using test images): 0.8329640230797217
[INFO] 2020-09-16 00:41:15 > FID score (Step: 64000, Using test moments): 57.6568260000991
[INFO] 2020-09-16 00:41:15 > Inception score (Step: 64000, 10000 generated images): 5.550802230834961
[INFO] 2020-09-16 00:41:15 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:41:15 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:41:19 > Step: 64100 Progress: 32.0% Elapsed: 1:28:59 temperature: no ada_p: No Discriminator_loss: 0.00904699 Generator_loss: 10.5146
[INFO] 2020-09-16 00:41:23 > Step: 64200 Progress: 32.1% Elapsed: 1:29:03 temperature: no ada_p: No Discriminator_loss: 0.252365 Generator_loss: 16.9137
[INFO] 2020-09-16 00:41:27 > Step: 64300 Progress: 32.1% Elapsed: 1:29:07 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 13.7486
[INFO] 2020-09-16 00:41:30 > Step: 64400 Progress: 32.2% Elapsed: 1:29:11 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.215
[INFO] 2020-09-16 00:41:35 > Step: 64500 Progress: 32.2% Elapsed: 1:29:15 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.08015
[INFO] 2020-09-16 00:41:38 > Step: 64600 Progress: 32.3% Elapsed: 1:29:18 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.97431
[INFO] 2020-09-16 00:41:42 > Step: 64700 Progress: 32.4% Elapsed: 1:29:22 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.6892
[INFO] 2020-09-16 00:41:46 > Step: 64800 Progress: 32.4% Elapsed: 1:29:26 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.5243
[INFO] 2020-09-16 00:41:50 > Step: 64900 Progress: 32.5% Elapsed: 1:29:30 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.4968
[INFO] 2020-09-16 00:41:54 > Step: 65000 Progress: 32.5% Elapsed: 1:29:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.06814
[INFO] 2020-09-16 00:41:58 > Step: 65100 Progress: 32.6% Elapsed: 1:29:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.88594
[INFO] 2020-09-16 00:42:01 > Step: 65200 Progress: 32.6% Elapsed: 1:29:42 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.89036
[INFO] 2020-09-16 00:42:06 > Step: 65300 Progress: 32.6% Elapsed: 1:29:46 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.96681
[INFO] 2020-09-16 00:42:09 > Step: 65400 Progress: 32.7% Elapsed: 1:29:49 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 7.77957
[INFO] 2020-09-16 00:42:13 > Step: 65500 Progress: 32.8% Elapsed: 1:29:53 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.70426
[INFO] 2020-09-16 00:42:17 > Step: 65600 Progress: 32.8% Elapsed: 1:29:57 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.39857
[INFO] 2020-09-16 00:42:21 > Step: 65700 Progress: 32.9% Elapsed: 1:30:01 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.80591
[INFO] 2020-09-16 00:42:25 > Step: 65800 Progress: 32.9% Elapsed: 1:30:05 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.5368
[INFO] 2020-09-16 00:42:29 > Step: 65900 Progress: 33.0% Elapsed: 1:30:09 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.01217
[INFO] 2020-09-16 00:42:33 > Step: 66000 Progress: 33.0% Elapsed: 1:30:13 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.59005
[INFO] 2020-09-16 00:42:33 > Start Evaluation (66000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:44:04 > F_8 score (Step: 66000, Using test images): 0.6494777304213815
[INFO] 2020-09-16 00:44:04 > F_1/8 score (Step: 66000, Using test images): 0.6981364990663248
[INFO] 2020-09-16 00:44:04 > FID score (Step: 66000, Using test moments): 72.19907362061849
[INFO] 2020-09-16 00:44:04 > Inception score (Step: 66000, 10000 generated images): 5.2821269035339355
[INFO] 2020-09-16 00:44:04 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:44:05 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:44:08 > Step: 66100 Progress: 33.1% Elapsed: 1:31:48 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 3.15387
[INFO] 2020-09-16 00:44:12 > Step: 66200 Progress: 33.1% Elapsed: 1:31:52 temperature: no ada_p: No Discriminator_loss: 0.579612 Generator_loss: 5.02784
[INFO] 2020-09-16 00:44:16 > Step: 66300 Progress: 33.1% Elapsed: 1:31:56 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.33867
[INFO] 2020-09-16 00:44:20 > Step: 66400 Progress: 33.2% Elapsed: 1:32:00 temperature: no ada_p: No Discriminator_loss: 0.00644866 Generator_loss: 15.8817
[INFO] 2020-09-16 00:44:24 > Step: 66500 Progress: 33.2% Elapsed: 1:32:04 temperature: no ada_p: No Discriminator_loss: 0.000562095 Generator_loss: 7.98246
[INFO] 2020-09-16 00:44:28 > Step: 66600 Progress: 33.3% Elapsed: 1:32:08 temperature: no ada_p: No Discriminator_loss: 0.0256401 Generator_loss: 8.67929
[INFO] 2020-09-16 00:44:31 > Step: 66700 Progress: 33.4% Elapsed: 1:32:12 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.55841
[INFO] 2020-09-16 00:44:36 > Step: 66800 Progress: 33.4% Elapsed: 1:32:16 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 16.3371
[INFO] 2020-09-16 00:44:39 > Step: 66900 Progress: 33.5% Elapsed: 1:32:19 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 2.51652
[INFO] 2020-09-16 00:44:43 > Step: 67000 Progress: 33.5% Elapsed: 1:32:23 temperature: no ada_p: No Discriminator_loss: 0.0461596 Generator_loss: 4.22103
[INFO] 2020-09-16 00:44:47 > Step: 67100 Progress: 33.6% Elapsed: 1:32:27 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 10.9445
[INFO] 2020-09-16 00:44:51 > Step: 67200 Progress: 33.6% Elapsed: 1:32:31 temperature: no ada_p: No Discriminator_loss: 0.0515095 Generator_loss: 6.39198
[INFO] 2020-09-16 00:44:55 > Step: 67300 Progress: 33.7% Elapsed: 1:32:35 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 5.57882
[INFO] 2020-09-16 00:44:59 > Step: 67400 Progress: 33.7% Elapsed: 1:32:39 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 4.81877
[INFO] 2020-09-16 00:45:02 > Step: 67500 Progress: 33.8% Elapsed: 1:32:43 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 15.627
[INFO] 2020-09-16 00:45:07 > Step: 67600 Progress: 33.8% Elapsed: 1:32:47 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.20268
[INFO] 2020-09-16 00:45:10 > Step: 67700 Progress: 33.9% Elapsed: 1:32:50 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.4511
[INFO] 2020-09-16 00:45:14 > Step: 67800 Progress: 33.9% Elapsed: 1:32:54 temperature: no ada_p: No Discriminator_loss: 0.10036 Generator_loss: 11.5274
[INFO] 2020-09-16 00:45:18 > Step: 67900 Progress: 34.0% Elapsed: 1:32:58 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 9.32278
[INFO] 2020-09-16 00:45:22 > Step: 68000 Progress: 34.0% Elapsed: 1:33:02 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 11.2257
[INFO] 2020-09-16 00:45:22 > Start Evaluation (68000 Step): GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:46:50 > F_8 score (Step: 68000, Using test images): 0.6979489570731249
[INFO] 2020-09-16 00:46:50 > F_1/8 score (Step: 68000, Using test images): 0.723922314799347
[INFO] 2020-09-16 00:46:50 > FID score (Step: 68000, Using test moments): 66.35023749934993
[INFO] 2020-09-16 00:46:50 > Inception score (Step: 68000, 10000 generated images): 5.7491655349731445
[INFO] 2020-09-16 00:46:50 > Best FID score (Step: 46000, Using test moments): 42.7144625878808
[INFO] 2020-09-16 00:46:50 > Saved model to checkpoints/GGAN-train-2020_09_15_23_11_09
[INFO] 2020-09-16 00:46:54 > Step: 68100 Progress: 34.1% Elapsed: 1:34:34 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 6.43534
[INFO] 2020-09-16 00:46:58 > Step: 68200 Progress: 34.1% Elapsed: 1:34:38 temperature: no ada_p: No Discriminator_loss: 0.0 Generator_loss: 8.21617
[INFO] 2020-09-16 00:47:02 > Step: 68300 Progress: 34.2% Elapsed: 1:34:42 temperature: no ada_p: No Discriminator_loss: 0.402728 Generator_loss: 16.7646