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DCGAN-train-2020_09_15_13_23_51.log
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[INFO] 2020-09-15 13:23:51 > Run name : DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:23:51 > {'config_path': './configs/CIFAR10/DCGAN.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 13:23:51 > {'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': 'vanilla', '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 13:23:51 > Loading train datasets...
[INFO] 2020-09-15 13:23:51 > Train dataset size : 50000
[INFO] 2020-09-15 13:23:51 > Loading test datasets...
[INFO] 2020-09-15 13:23:52 > Eval dataset size : 10000
[INFO] 2020-09-15 13:23:52 > Building model...
[INFO] 2020-09-15 13:23:52 > Modules are located on models.dcgan
[INFO] 2020-09-15 13:23:55 > Number of parameters: 3812355
[INFO] 2020-09-15 13:23:55 > 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 13:23:55 > Number of parameters: 2931009
[INFO] 2020-09-15 13:23:55 > 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 13:23:59 > Start training....
[INFO] 2020-09-15 13:24:04 > Step: 100 Progress: 0.1% Elapsed: 0:00:05 temperature: no ada_p: No Discriminator_loss: 0.00663902 Generator_loss: 5.11956
[INFO] 2020-09-15 13:24:09 > Step: 200 Progress: 0.1% Elapsed: 0:00:09 temperature: no ada_p: No Discriminator_loss: 0.00266094 Generator_loss: 5.49771
[INFO] 2020-09-15 13:24:13 > Step: 300 Progress: 0.1% Elapsed: 0:00:13 temperature: no ada_p: No Discriminator_loss: 0.00831237 Generator_loss: 5.70682
[INFO] 2020-09-15 13:24:18 > Step: 400 Progress: 0.2% Elapsed: 0:00:18 temperature: no ada_p: No Discriminator_loss: 0.0170905 Generator_loss: 3.66155
[INFO] 2020-09-15 13:24:22 > Step: 500 Progress: 0.2% Elapsed: 0:00:22 temperature: no ada_p: No Discriminator_loss: 0.773269 Generator_loss: 3.75118
[INFO] 2020-09-15 13:24:26 > Step: 600 Progress: 0.3% Elapsed: 0:00:26 temperature: no ada_p: No Discriminator_loss: 0.320611 Generator_loss: 2.06165
[INFO] 2020-09-15 13:24:30 > Step: 700 Progress: 0.4% Elapsed: 0:00:31 temperature: no ada_p: No Discriminator_loss: 0.283667 Generator_loss: 4.38063
[INFO] 2020-09-15 13:24:35 > Step: 800 Progress: 0.4% Elapsed: 0:00:36 temperature: no ada_p: No Discriminator_loss: 0.0771802 Generator_loss: 2.29304
[INFO] 2020-09-15 13:24:39 > Step: 900 Progress: 0.4% Elapsed: 0:00:40 temperature: no ada_p: No Discriminator_loss: 0.103402 Generator_loss: 1.8268
[INFO] 2020-09-15 13:24:44 > Step: 1000 Progress: 0.5% Elapsed: 0:00:44 temperature: no ada_p: No Discriminator_loss: 0.0621715 Generator_loss: 2.89518
[INFO] 2020-09-15 13:24:48 > Step: 1100 Progress: 0.5% Elapsed: 0:00:48 temperature: no ada_p: No Discriminator_loss: 0.0230254 Generator_loss: 3.78921
[INFO] 2020-09-15 13:24:53 > Step: 1200 Progress: 0.6% Elapsed: 0:00:53 temperature: no ada_p: No Discriminator_loss: 0.128432 Generator_loss: 3.23262
[INFO] 2020-09-15 13:24:57 > Step: 1300 Progress: 0.7% Elapsed: 0:00:57 temperature: no ada_p: No Discriminator_loss: 0.248319 Generator_loss: 3.07235
[INFO] 2020-09-15 13:25:01 > Step: 1400 Progress: 0.7% Elapsed: 0:01:01 temperature: no ada_p: No Discriminator_loss: 0.205818 Generator_loss: 4.76134
[INFO] 2020-09-15 13:25:05 > Step: 1500 Progress: 0.8% Elapsed: 0:01:06 temperature: no ada_p: No Discriminator_loss: 0.0359661 Generator_loss: 4.55274
[INFO] 2020-09-15 13:25:10 > Step: 1600 Progress: 0.8% Elapsed: 0:01:11 temperature: no ada_p: No Discriminator_loss: 0.0666559 Generator_loss: 3.24301
[INFO] 2020-09-15 13:25:14 > Step: 1700 Progress: 0.9% Elapsed: 0:01:15 temperature: no ada_p: No Discriminator_loss: 0.010203 Generator_loss: 1.90767
[INFO] 2020-09-15 13:25:19 > Step: 1800 Progress: 0.9% Elapsed: 0:01:19 temperature: no ada_p: No Discriminator_loss: 0.013012 Generator_loss: 3.63847
[INFO] 2020-09-15 13:25:23 > Step: 1900 Progress: 0.9% Elapsed: 0:01:23 temperature: no ada_p: No Discriminator_loss: 0.0174971 Generator_loss: 4.46962
[INFO] 2020-09-15 13:25:28 > Step: 2000 Progress: 1.0% Elapsed: 0:01:29 temperature: no ada_p: No Discriminator_loss: 0.0112873 Generator_loss: 5.70299
[INFO] 2020-09-15 13:25:28 > Start Evaluation (2000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:27:01 > F_8 score (Step: 2000, Using test images): 0.25193089375852457
[INFO] 2020-09-15 13:27:01 > F_1/8 score (Step: 2000, Using test images): 0.4517423309415297
[INFO] 2020-09-15 13:27:01 > FID score (Step: 2000, Using test moments): 114.93817616783508
[INFO] 2020-09-15 13:27:01 > Inception score (Step: 2000, 10000 generated images): 3.4192397594451904
[INFO] 2020-09-15 13:27:01 > Best FID score (Step: 2000, Using test moments): 114.93817616783508
[INFO] 2020-09-15 13:27:01 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:27:05 > Step: 2100 Progress: 1.1% Elapsed: 0:03:06 temperature: no ada_p: No Discriminator_loss: 0.285186 Generator_loss: 3.12378
[INFO] 2020-09-15 13:27:10 > Step: 2200 Progress: 1.1% Elapsed: 0:03:10 temperature: no ada_p: No Discriminator_loss: 1.17699 Generator_loss: 4.34923
[INFO] 2020-09-15 13:27:14 > Step: 2300 Progress: 1.1% Elapsed: 0:03:14 temperature: no ada_p: No Discriminator_loss: 0.916313 Generator_loss: 4.97357
[INFO] 2020-09-15 13:27:19 > Step: 2400 Progress: 1.2% Elapsed: 0:03:20 temperature: no ada_p: No Discriminator_loss: 0.0633532 Generator_loss: 3.7093
[INFO] 2020-09-15 13:27:23 > Step: 2500 Progress: 1.2% Elapsed: 0:03:24 temperature: no ada_p: No Discriminator_loss: 0.00826181 Generator_loss: 3.48611
[INFO] 2020-09-15 13:27:28 > Step: 2600 Progress: 1.3% Elapsed: 0:03:29 temperature: no ada_p: No Discriminator_loss: 0.0569873 Generator_loss: 2.70361
[INFO] 2020-09-15 13:27:33 > Step: 2700 Progress: 1.4% Elapsed: 0:03:33 temperature: no ada_p: No Discriminator_loss: 0.040817 Generator_loss: 3.82748
[INFO] 2020-09-15 13:27:38 > Step: 2800 Progress: 1.4% Elapsed: 0:03:38 temperature: no ada_p: No Discriminator_loss: 0.06352 Generator_loss: 1.90925
[INFO] 2020-09-15 13:27:42 > Step: 2900 Progress: 1.5% Elapsed: 0:03:43 temperature: no ada_p: No Discriminator_loss: 0.036532 Generator_loss: 4.14873
[INFO] 2020-09-15 13:27:47 > Step: 3000 Progress: 1.5% Elapsed: 0:03:47 temperature: no ada_p: No Discriminator_loss: 0.0516581 Generator_loss: 2.23583
[INFO] 2020-09-15 13:27:52 > Step: 3100 Progress: 1.6% Elapsed: 0:03:52 temperature: no ada_p: No Discriminator_loss: 0.0426451 Generator_loss: 5.63506
[INFO] 2020-09-15 13:27:57 > Step: 3200 Progress: 1.6% Elapsed: 0:03:57 temperature: no ada_p: No Discriminator_loss: 0.0418485 Generator_loss: 5.8632
[INFO] 2020-09-15 13:28:01 > Step: 3300 Progress: 1.7% Elapsed: 0:04:02 temperature: no ada_p: No Discriminator_loss: 0.0263031 Generator_loss: 3.68588
[INFO] 2020-09-15 13:28:06 > Step: 3400 Progress: 1.7% Elapsed: 0:04:07 temperature: no ada_p: No Discriminator_loss: 0.0689361 Generator_loss: 3.57816
[INFO] 2020-09-15 13:28:11 > Step: 3500 Progress: 1.8% Elapsed: 0:04:11 temperature: no ada_p: No Discriminator_loss: 1.08133 Generator_loss: 6.76659
[INFO] 2020-09-15 13:28:16 > Step: 3600 Progress: 1.8% Elapsed: 0:04:17 temperature: no ada_p: No Discriminator_loss: 0.0121628 Generator_loss: 3.91705
[INFO] 2020-09-15 13:28:21 > Step: 3700 Progress: 1.8% Elapsed: 0:04:21 temperature: no ada_p: No Discriminator_loss: 0.0446206 Generator_loss: 4.00935
[INFO] 2020-09-15 13:28:25 > Step: 3800 Progress: 1.9% Elapsed: 0:04:26 temperature: no ada_p: No Discriminator_loss: 0.0401475 Generator_loss: 3.51201
[INFO] 2020-09-15 13:28:30 > Step: 3900 Progress: 1.9% Elapsed: 0:04:31 temperature: no ada_p: No Discriminator_loss: 0.0375538 Generator_loss: 4.66461
[INFO] 2020-09-15 13:28:35 > Step: 4000 Progress: 2.0% Elapsed: 0:04:36 temperature: no ada_p: No Discriminator_loss: 0.0685953 Generator_loss: 7.58958
[INFO] 2020-09-15 13:28:35 > Start Evaluation (4000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:30:09 > F_8 score (Step: 4000, Using test images): 0.4594338047357708
[INFO] 2020-09-15 13:30:09 > F_1/8 score (Step: 4000, Using test images): 0.5766794627964497
[INFO] 2020-09-15 13:30:09 > FID score (Step: 4000, Using test moments): 92.60138031604123
[INFO] 2020-09-15 13:30:09 > Inception score (Step: 4000, 10000 generated images): 3.865813732147217
[INFO] 2020-09-15 13:30:09 > Best FID score (Step: 4000, Using test moments): 92.60138031604123
[INFO] 2020-09-15 13:30:10 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:30:14 > Step: 4100 Progress: 2.1% Elapsed: 0:06:15 temperature: no ada_p: No Discriminator_loss: 0.0350294 Generator_loss: 3.96503
[INFO] 2020-09-15 13:30:18 > Step: 4200 Progress: 2.1% Elapsed: 0:06:19 temperature: no ada_p: No Discriminator_loss: 0.00417135 Generator_loss: 4.84541
[INFO] 2020-09-15 13:30:23 > Step: 4300 Progress: 2.1% Elapsed: 0:06:24 temperature: no ada_p: No Discriminator_loss: 0.00272599 Generator_loss: 7.56024
[INFO] 2020-09-15 13:30:28 > Step: 4400 Progress: 2.2% Elapsed: 0:06:29 temperature: no ada_p: No Discriminator_loss: 0.0306578 Generator_loss: 3.73528
[INFO] 2020-09-15 13:30:33 > Step: 4500 Progress: 2.2% Elapsed: 0:06:33 temperature: no ada_p: No Discriminator_loss: 0.211953 Generator_loss: 1.37905
[INFO] 2020-09-15 13:30:37 > Step: 4600 Progress: 2.3% Elapsed: 0:06:38 temperature: no ada_p: No Discriminator_loss: 0.0243127 Generator_loss: 4.66629
[INFO] 2020-09-15 13:30:42 > Step: 4700 Progress: 2.4% Elapsed: 0:06:43 temperature: no ada_p: No Discriminator_loss: 0.00393424 Generator_loss: 5.29533
[INFO] 2020-09-15 13:30:47 > Step: 4800 Progress: 2.4% Elapsed: 0:06:48 temperature: no ada_p: No Discriminator_loss: 0.0224942 Generator_loss: 4.191
[INFO] 2020-09-15 13:30:52 > Step: 4900 Progress: 2.5% Elapsed: 0:06:52 temperature: no ada_p: No Discriminator_loss: 0.0421868 Generator_loss: 2.00695
[INFO] 2020-09-15 13:30:56 > Step: 5000 Progress: 2.5% Elapsed: 0:06:57 temperature: no ada_p: No Discriminator_loss: 0.0623497 Generator_loss: 4.79206
[INFO] 2020-09-15 13:31:02 > Step: 5100 Progress: 2.5% Elapsed: 0:07:02 temperature: no ada_p: No Discriminator_loss: 0.0407205 Generator_loss: 1.80187
[INFO] 2020-09-15 13:31:06 > Step: 5200 Progress: 2.6% Elapsed: 0:07:07 temperature: no ada_p: No Discriminator_loss: 0.125599 Generator_loss: 5.02652
[INFO] 2020-09-15 13:31:11 > Step: 5300 Progress: 2.6% Elapsed: 0:07:12 temperature: no ada_p: No Discriminator_loss: 0.00481532 Generator_loss: 6.06366
[INFO] 2020-09-15 13:31:16 > Step: 5400 Progress: 2.7% Elapsed: 0:07:16 temperature: no ada_p: No Discriminator_loss: 0.0342628 Generator_loss: 3.55908
[INFO] 2020-09-15 13:31:21 > Step: 5500 Progress: 2.8% Elapsed: 0:07:22 temperature: no ada_p: No Discriminator_loss: 0.0061511 Generator_loss: 5.00603
[INFO] 2020-09-15 13:31:26 > Step: 5600 Progress: 2.8% Elapsed: 0:07:26 temperature: no ada_p: No Discriminator_loss: 0.665299 Generator_loss: 7.53296
[INFO] 2020-09-15 13:31:30 > Step: 5700 Progress: 2.9% Elapsed: 0:07:31 temperature: no ada_p: No Discriminator_loss: 0.0153814 Generator_loss: 5.64801
[INFO] 2020-09-15 13:31:35 > Step: 5800 Progress: 2.9% Elapsed: 0:07:36 temperature: no ada_p: No Discriminator_loss: 0.0160348 Generator_loss: 5.1758
[INFO] 2020-09-15 13:31:40 > Step: 5900 Progress: 2.9% Elapsed: 0:07:41 temperature: no ada_p: No Discriminator_loss: 0.885171 Generator_loss: 2.18095
[INFO] 2020-09-15 13:31:45 > Step: 6000 Progress: 3.0% Elapsed: 0:07:46 temperature: no ada_p: No Discriminator_loss: 0.0100289 Generator_loss: 6.31344
[INFO] 2020-09-15 13:31:45 > Start Evaluation (6000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:33:20 > F_8 score (Step: 6000, Using test images): 0.5799813356911179
[INFO] 2020-09-15 13:33:20 > F_1/8 score (Step: 6000, Using test images): 0.7419074263649751
[INFO] 2020-09-15 13:33:20 > FID score (Step: 6000, Using test moments): 75.58870827506394
[INFO] 2020-09-15 13:33:20 > Inception score (Step: 6000, 10000 generated images): 5.291824817657471
[INFO] 2020-09-15 13:33:20 > Best FID score (Step: 6000, Using test moments): 75.58870827506394
[INFO] 2020-09-15 13:33:20 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:33:24 > Step: 6100 Progress: 3.0% Elapsed: 0:09:25 temperature: no ada_p: No Discriminator_loss: 0.0174112 Generator_loss: 7.70993
[INFO] 2020-09-15 13:33:29 > Step: 6200 Progress: 3.1% Elapsed: 0:09:29 temperature: no ada_p: No Discriminator_loss: 0.0012853 Generator_loss: 6.62403
[INFO] 2020-09-15 13:33:34 > Step: 6300 Progress: 3.1% Elapsed: 0:09:35 temperature: no ada_p: No Discriminator_loss: 0.0409654 Generator_loss: 3.45545
[INFO] 2020-09-15 13:33:38 > Step: 6400 Progress: 3.2% Elapsed: 0:09:39 temperature: no ada_p: No Discriminator_loss: 0.0121588 Generator_loss: 5.86506
[INFO] 2020-09-15 13:33:43 > Step: 6500 Progress: 3.2% Elapsed: 0:09:44 temperature: no ada_p: No Discriminator_loss: 0.00223145 Generator_loss: 8.05667
[INFO] 2020-09-15 13:33:48 > Step: 6600 Progress: 3.3% Elapsed: 0:09:48 temperature: no ada_p: No Discriminator_loss: 0.0399025 Generator_loss: 7.87282
[INFO] 2020-09-15 13:33:53 > Step: 6700 Progress: 3.4% Elapsed: 0:09:53 temperature: no ada_p: No Discriminator_loss: 0.0133723 Generator_loss: 4.59734
[INFO] 2020-09-15 13:33:57 > Step: 6800 Progress: 3.4% Elapsed: 0:09:58 temperature: no ada_p: No Discriminator_loss: 0.0839918 Generator_loss: 3.94112
[INFO] 2020-09-15 13:34:02 > Step: 6900 Progress: 3.5% Elapsed: 0:10:03 temperature: no ada_p: No Discriminator_loss: 0.00284493 Generator_loss: 6.20305
[INFO] 2020-09-15 13:34:07 > Step: 7000 Progress: 3.5% Elapsed: 0:10:07 temperature: no ada_p: No Discriminator_loss: 0.0345284 Generator_loss: 7.40206
[INFO] 2020-09-15 13:34:12 > Step: 7100 Progress: 3.5% Elapsed: 0:10:13 temperature: no ada_p: No Discriminator_loss: 0.0123885 Generator_loss: 2.11645
[INFO] 2020-09-15 13:34:17 > Step: 7200 Progress: 3.6% Elapsed: 0:10:17 temperature: no ada_p: No Discriminator_loss: 0.00321718 Generator_loss: 5.139
[INFO] 2020-09-15 13:34:22 > Step: 7300 Progress: 3.6% Elapsed: 0:10:22 temperature: no ada_p: No Discriminator_loss: 0.000953267 Generator_loss: 5.11767
[INFO] 2020-09-15 13:34:26 > Step: 7400 Progress: 3.7% Elapsed: 0:10:27 temperature: no ada_p: No Discriminator_loss: 0.152616 Generator_loss: 0.689086
[INFO] 2020-09-15 13:34:31 > Step: 7500 Progress: 3.8% Elapsed: 0:10:32 temperature: no ada_p: No Discriminator_loss: 0.0317229 Generator_loss: 5.40095
[INFO] 2020-09-15 13:34:36 > Step: 7600 Progress: 3.8% Elapsed: 0:10:37 temperature: no ada_p: No Discriminator_loss: 0.013279 Generator_loss: 5.034
[INFO] 2020-09-15 13:34:41 > Step: 7700 Progress: 3.9% Elapsed: 0:10:42 temperature: no ada_p: No Discriminator_loss: 0.0379648 Generator_loss: 3.23102
[INFO] 2020-09-15 13:34:46 > Step: 7800 Progress: 3.9% Elapsed: 0:10:46 temperature: no ada_p: No Discriminator_loss: 0.00672539 Generator_loss: 6.2487
[INFO] 2020-09-15 13:34:51 > Step: 7900 Progress: 4.0% Elapsed: 0:10:52 temperature: no ada_p: No Discriminator_loss: 0.00860348 Generator_loss: 3.86783
[INFO] 2020-09-15 13:34:56 > Step: 8000 Progress: 4.0% Elapsed: 0:10:56 temperature: no ada_p: No Discriminator_loss: 0.219486 Generator_loss: 6.73357
[INFO] 2020-09-15 13:34:56 > Start Evaluation (8000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:36:30 > F_8 score (Step: 8000, Using test images): 0.583023370256098
[INFO] 2020-09-15 13:36:30 > F_1/8 score (Step: 8000, Using test images): 0.710256235099562
[INFO] 2020-09-15 13:36:30 > FID score (Step: 8000, Using test moments): 77.44805418073673
[INFO] 2020-09-15 13:36:30 > Inception score (Step: 8000, 10000 generated images): 5.05015754699707
[INFO] 2020-09-15 13:36:30 > Best FID score (Step: 6000, Using test moments): 75.58870827506394
[INFO] 2020-09-15 13:36:30 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:36:34 > Step: 8100 Progress: 4.0% Elapsed: 0:12:35 temperature: no ada_p: No Discriminator_loss: 0.062249 Generator_loss: 5.79666
[INFO] 2020-09-15 13:36:39 > Step: 8200 Progress: 4.1% Elapsed: 0:12:39 temperature: no ada_p: No Discriminator_loss: 0.0107926 Generator_loss: 4.66057
[INFO] 2020-09-15 13:36:44 > Step: 8300 Progress: 4.2% Elapsed: 0:12:44 temperature: no ada_p: No Discriminator_loss: 0.000718447 Generator_loss: 8.52493
[INFO] 2020-09-15 13:36:48 > Step: 8400 Progress: 4.2% Elapsed: 0:12:49 temperature: no ada_p: No Discriminator_loss: 0.00755548 Generator_loss: 3.88277
[INFO] 2020-09-15 13:36:53 > Step: 8500 Progress: 4.2% Elapsed: 0:12:53 temperature: no ada_p: No Discriminator_loss: 0.0309337 Generator_loss: 3.93771
[INFO] 2020-09-15 13:36:58 > Step: 8600 Progress: 4.3% Elapsed: 0:12:59 temperature: no ada_p: No Discriminator_loss: 0.013054 Generator_loss: 4.69783
[INFO] 2020-09-15 13:37:03 > Step: 8700 Progress: 4.3% Elapsed: 0:13:03 temperature: no ada_p: No Discriminator_loss: 0.183299 Generator_loss: 6.03897
[INFO] 2020-09-15 13:37:07 > Step: 8800 Progress: 4.4% Elapsed: 0:13:08 temperature: no ada_p: No Discriminator_loss: 0.00773759 Generator_loss: 6.47639
[INFO] 2020-09-15 13:37:12 > Step: 8900 Progress: 4.5% Elapsed: 0:13:12 temperature: no ada_p: No Discriminator_loss: 0.0364273 Generator_loss: 3.3195
[INFO] 2020-09-15 13:37:17 > Step: 9000 Progress: 4.5% Elapsed: 0:13:18 temperature: no ada_p: No Discriminator_loss: 0.0884888 Generator_loss: 5.67569
[INFO] 2020-09-15 13:37:22 > Step: 9100 Progress: 4.5% Elapsed: 0:13:22 temperature: no ada_p: No Discriminator_loss: 0.0200764 Generator_loss: 4.98383
[INFO] 2020-09-15 13:37:27 > Step: 9200 Progress: 4.6% Elapsed: 0:13:27 temperature: no ada_p: No Discriminator_loss: 0.00395691 Generator_loss: 2.7499
[INFO] 2020-09-15 13:37:31 > Step: 9300 Progress: 4.7% Elapsed: 0:13:32 temperature: no ada_p: No Discriminator_loss: 0.0101889 Generator_loss: 3.75377
[INFO] 2020-09-15 13:37:37 > Step: 9400 Progress: 4.7% Elapsed: 0:13:37 temperature: no ada_p: No Discriminator_loss: 0.00267842 Generator_loss: 5.18308
[INFO] 2020-09-15 13:37:41 > Step: 9500 Progress: 4.8% Elapsed: 0:13:42 temperature: no ada_p: No Discriminator_loss: 0.00129619 Generator_loss: 4.94689
[INFO] 2020-09-15 13:37:46 > Step: 9600 Progress: 4.8% Elapsed: 0:13:47 temperature: no ada_p: No Discriminator_loss: 0.0181939 Generator_loss: 4.46432
[INFO] 2020-09-15 13:37:51 > Step: 9700 Progress: 4.9% Elapsed: 0:13:52 temperature: no ada_p: No Discriminator_loss: 0.00244897 Generator_loss: 6.55454
[INFO] 2020-09-15 13:37:57 > Step: 9800 Progress: 4.9% Elapsed: 0:13:57 temperature: no ada_p: No Discriminator_loss: 0.00812304 Generator_loss: 3.9983
[INFO] 2020-09-15 13:38:01 > Step: 9900 Progress: 5.0% Elapsed: 0:14:02 temperature: no ada_p: No Discriminator_loss: 0.0249189 Generator_loss: 3.75085
[INFO] 2020-09-15 13:38:06 > Step: 10000 Progress: 5.0% Elapsed: 0:14:07 temperature: no ada_p: No Discriminator_loss: 0.0012676 Generator_loss: 3.83307
[INFO] 2020-09-15 13:38:06 > Start Evaluation (10000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:39:43 > F_8 score (Step: 10000, Using test images): 0.6224733697461082
[INFO] 2020-09-15 13:39:43 > F_1/8 score (Step: 10000, Using test images): 0.7491689697074775
[INFO] 2020-09-15 13:39:43 > FID score (Step: 10000, Using test moments): 65.25328660902608
[INFO] 2020-09-15 13:39:43 > Inception score (Step: 10000, 10000 generated images): 5.349563121795654
[INFO] 2020-09-15 13:39:43 > Best FID score (Step: 10000, Using test moments): 65.25328660902608
[INFO] 2020-09-15 13:39:43 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:39:47 > Step: 10100 Progress: 5.1% Elapsed: 0:15:48 temperature: no ada_p: No Discriminator_loss: 0.0152518 Generator_loss: 6.31383
[INFO] 2020-09-15 13:39:52 > Step: 10200 Progress: 5.1% Elapsed: 0:15:53 temperature: no ada_p: No Discriminator_loss: 0.000620635 Generator_loss: 9.62929
[INFO] 2020-09-15 13:39:57 > Step: 10300 Progress: 5.1% Elapsed: 0:15:57 temperature: no ada_p: No Discriminator_loss: 0.0480934 Generator_loss: 4.49978
[INFO] 2020-09-15 13:40:01 > Step: 10400 Progress: 5.2% Elapsed: 0:16:02 temperature: no ada_p: No Discriminator_loss: 0.0838989 Generator_loss: 5.00781
[INFO] 2020-09-15 13:40:06 > Step: 10500 Progress: 5.2% Elapsed: 0:16:06 temperature: no ada_p: No Discriminator_loss: 0.0113069 Generator_loss: 10.4434
[INFO] 2020-09-15 13:40:11 > Step: 10600 Progress: 5.3% Elapsed: 0:16:12 temperature: no ada_p: No Discriminator_loss: 0.0228457 Generator_loss: 6.97969
[INFO] 2020-09-15 13:40:16 > Step: 10700 Progress: 5.3% Elapsed: 0:16:16 temperature: no ada_p: No Discriminator_loss: 0.00469049 Generator_loss: 6.9783
[INFO] 2020-09-15 13:40:20 > Step: 10800 Progress: 5.4% Elapsed: 0:16:21 temperature: no ada_p: No Discriminator_loss: 0.00287079 Generator_loss: 6.62287
[INFO] 2020-09-15 13:40:25 > Step: 10900 Progress: 5.5% Elapsed: 0:16:25 temperature: no ada_p: No Discriminator_loss: 0.00311867 Generator_loss: 8.25739
[INFO] 2020-09-15 13:40:30 > Step: 11000 Progress: 5.5% Elapsed: 0:16:31 temperature: no ada_p: No Discriminator_loss: 0.0117364 Generator_loss: 4.74249
[INFO] 2020-09-15 13:40:35 > Step: 11100 Progress: 5.5% Elapsed: 0:16:35 temperature: no ada_p: No Discriminator_loss: 0.172081 Generator_loss: 7.28273
[INFO] 2020-09-15 13:40:40 > Step: 11200 Progress: 5.6% Elapsed: 0:16:40 temperature: no ada_p: No Discriminator_loss: 0.00558797 Generator_loss: 10.2959
[INFO] 2020-09-15 13:40:44 > Step: 11300 Progress: 5.7% Elapsed: 0:16:45 temperature: no ada_p: No Discriminator_loss: 0.0267811 Generator_loss: 7.27712
[INFO] 2020-09-15 13:40:50 > Step: 11400 Progress: 5.7% Elapsed: 0:16:50 temperature: no ada_p: No Discriminator_loss: 0.00223991 Generator_loss: 5.20753
[INFO] 2020-09-15 13:40:54 > Step: 11500 Progress: 5.8% Elapsed: 0:16:55 temperature: no ada_p: No Discriminator_loss: 0.0174668 Generator_loss: 5.6208
[INFO] 2020-09-15 13:40:59 > Step: 11600 Progress: 5.8% Elapsed: 0:17:00 temperature: no ada_p: No Discriminator_loss: 0.696704 Generator_loss: 8.46389
[INFO] 2020-09-15 13:41:04 > Step: 11700 Progress: 5.9% Elapsed: 0:17:04 temperature: no ada_p: No Discriminator_loss: 0.00866005 Generator_loss: 8.86544
[INFO] 2020-09-15 13:41:09 > Step: 11800 Progress: 5.9% Elapsed: 0:17:10 temperature: no ada_p: No Discriminator_loss: 0.000495371 Generator_loss: 6.4938
[INFO] 2020-09-15 13:41:14 > Step: 11900 Progress: 5.9% Elapsed: 0:17:14 temperature: no ada_p: No Discriminator_loss: 0.133812 Generator_loss: 1.00608
[INFO] 2020-09-15 13:41:18 > Step: 12000 Progress: 6.0% Elapsed: 0:17:19 temperature: no ada_p: No Discriminator_loss: 0.00800361 Generator_loss: 6.41356
[INFO] 2020-09-15 13:41:18 > Start Evaluation (12000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:42:52 > F_8 score (Step: 12000, Using test images): 0.6406367612010677
[INFO] 2020-09-15 13:42:52 > F_1/8 score (Step: 12000, Using test images): 0.8101869836463937
[INFO] 2020-09-15 13:42:52 > FID score (Step: 12000, Using test moments): 64.16143493225525
[INFO] 2020-09-15 13:42:52 > Inception score (Step: 12000, 10000 generated images): 5.110886573791504
[INFO] 2020-09-15 13:42:52 > Best FID score (Step: 12000, Using test moments): 64.16143493225525
[INFO] 2020-09-15 13:42:53 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:42:57 > Step: 12100 Progress: 6.0% Elapsed: 0:18:57 temperature: no ada_p: No Discriminator_loss: 0.125339 Generator_loss: 3.35204
[INFO] 2020-09-15 13:43:02 > Step: 12200 Progress: 6.1% Elapsed: 0:19:03 temperature: no ada_p: No Discriminator_loss: 0.00674214 Generator_loss: 3.5475
[INFO] 2020-09-15 13:43:07 > Step: 12300 Progress: 6.2% Elapsed: 0:19:07 temperature: no ada_p: No Discriminator_loss: 0.00586851 Generator_loss: 7.04756
[INFO] 2020-09-15 13:43:11 > Step: 12400 Progress: 6.2% Elapsed: 0:19:12 temperature: no ada_p: No Discriminator_loss: 0.169036 Generator_loss: 10.323
[INFO] 2020-09-15 13:43:16 > Step: 12500 Progress: 6.2% Elapsed: 0:19:17 temperature: no ada_p: No Discriminator_loss: 0.0227252 Generator_loss: 6.08089
[INFO] 2020-09-15 13:43:21 > Step: 12600 Progress: 6.3% Elapsed: 0:19:22 temperature: no ada_p: No Discriminator_loss: 0.336061 Generator_loss: 6.75681
[INFO] 2020-09-15 13:43:26 > Step: 12700 Progress: 6.3% Elapsed: 0:19:26 temperature: no ada_p: No Discriminator_loss: 0.00576556 Generator_loss: 9.14216
[INFO] 2020-09-15 13:43:30 > Step: 12800 Progress: 6.4% Elapsed: 0:19:31 temperature: no ada_p: No Discriminator_loss: 0.00367085 Generator_loss: 7.32826
[INFO] 2020-09-15 13:43:36 > Step: 12900 Progress: 6.5% Elapsed: 0:19:36 temperature: no ada_p: No Discriminator_loss: 0.00744986 Generator_loss: 8.97427
[INFO] 2020-09-15 13:43:40 > Step: 13000 Progress: 6.5% Elapsed: 0:19:41 temperature: no ada_p: No Discriminator_loss: 0.00468579 Generator_loss: 11.7182
[INFO] 2020-09-15 13:43:45 > Step: 13100 Progress: 6.6% Elapsed: 0:19:45 temperature: no ada_p: No Discriminator_loss: 0.00160696 Generator_loss: 12.7696
[INFO] 2020-09-15 13:43:50 > Step: 13200 Progress: 6.6% Elapsed: 0:19:50 temperature: no ada_p: No Discriminator_loss: 0.000621174 Generator_loss: 7.18031
[INFO] 2020-09-15 13:43:55 > Step: 13300 Progress: 6.7% Elapsed: 0:19:56 temperature: no ada_p: No Discriminator_loss: 0.00449297 Generator_loss: 6.16379
[INFO] 2020-09-15 13:44:00 > Step: 13400 Progress: 6.7% Elapsed: 0:20:00 temperature: no ada_p: No Discriminator_loss: 0.00565135 Generator_loss: 4.22199
[INFO] 2020-09-15 13:44:04 > Step: 13500 Progress: 6.8% Elapsed: 0:20:05 temperature: no ada_p: No Discriminator_loss: 0.0189142 Generator_loss: 7.37298
[INFO] 2020-09-15 13:44:09 > Step: 13600 Progress: 6.8% Elapsed: 0:20:10 temperature: no ada_p: No Discriminator_loss: 0.00196403 Generator_loss: 5.81304
[INFO] 2020-09-15 13:44:14 > Step: 13700 Progress: 6.9% Elapsed: 0:20:15 temperature: no ada_p: No Discriminator_loss: 0.000764608 Generator_loss: 9.08009
[INFO] 2020-09-15 13:44:19 > Step: 13800 Progress: 6.9% Elapsed: 0:20:20 temperature: no ada_p: No Discriminator_loss: 0.436337 Generator_loss: 3.11145
[INFO] 2020-09-15 13:44:24 > Step: 13900 Progress: 7.0% Elapsed: 0:20:24 temperature: no ada_p: No Discriminator_loss: 0.0141761 Generator_loss: 6.03621
[INFO] 2020-09-15 13:44:28 > Step: 14000 Progress: 7.0% Elapsed: 0:20:29 temperature: no ada_p: No Discriminator_loss: 0.017448 Generator_loss: 5.38076
[INFO] 2020-09-15 13:44:28 > Start Evaluation (14000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:46:04 > F_8 score (Step: 14000, Using test images): 0.6777395029085412
[INFO] 2020-09-15 13:46:04 > F_1/8 score (Step: 14000, Using test images): 0.7943831006743292
[INFO] 2020-09-15 13:46:04 > FID score (Step: 14000, Using test moments): 66.32015842086923
[INFO] 2020-09-15 13:46:04 > Inception score (Step: 14000, 10000 generated images): 5.338396072387695
[INFO] 2020-09-15 13:46:04 > Best FID score (Step: 12000, Using test moments): 64.16143493225525
[INFO] 2020-09-15 13:46:04 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:46:09 > Step: 14100 Progress: 7.0% Elapsed: 0:22:10 temperature: no ada_p: No Discriminator_loss: 0.00341852 Generator_loss: 5.63097
[INFO] 2020-09-15 13:46:14 > Step: 14200 Progress: 7.1% Elapsed: 0:22:15 temperature: no ada_p: No Discriminator_loss: 0.0558831 Generator_loss: 6.15575
[INFO] 2020-09-15 13:46:19 > Step: 14300 Progress: 7.1% Elapsed: 0:22:19 temperature: no ada_p: No Discriminator_loss: 0.00925233 Generator_loss: 4.82888
[INFO] 2020-09-15 13:46:23 > Step: 14400 Progress: 7.2% Elapsed: 0:22:24 temperature: no ada_p: No Discriminator_loss: 0.00345558 Generator_loss: 10.1174
[INFO] 2020-09-15 13:46:28 > Step: 14500 Progress: 7.2% Elapsed: 0:22:29 temperature: no ada_p: No Discriminator_loss: 0.0263662 Generator_loss: 13.2529
[INFO] 2020-09-15 13:46:33 > Step: 14600 Progress: 7.3% Elapsed: 0:22:34 temperature: no ada_p: No Discriminator_loss: 0.000940117 Generator_loss: 6.94781
[INFO] 2020-09-15 13:46:38 > Step: 14700 Progress: 7.3% Elapsed: 0:22:38 temperature: no ada_p: No Discriminator_loss: 0.0873316 Generator_loss: 2.61701
[INFO] 2020-09-15 13:46:42 > Step: 14800 Progress: 7.4% Elapsed: 0:22:43 temperature: no ada_p: No Discriminator_loss: 0.00488482 Generator_loss: 6.78083
[INFO] 2020-09-15 13:46:48 > Step: 14900 Progress: 7.4% Elapsed: 0:22:48 temperature: no ada_p: No Discriminator_loss: 0.000119585 Generator_loss: 9.5831
[INFO] 2020-09-15 13:46:52 > Step: 15000 Progress: 7.5% Elapsed: 0:22:53 temperature: no ada_p: No Discriminator_loss: 1.05733 Generator_loss: 5.8072
[INFO] 2020-09-15 13:46:57 > Step: 15100 Progress: 7.5% Elapsed: 0:22:57 temperature: no ada_p: No Discriminator_loss: 0.0913843 Generator_loss: 6.59925
[INFO] 2020-09-15 13:47:02 > Step: 15200 Progress: 7.6% Elapsed: 0:23:02 temperature: no ada_p: No Discriminator_loss: 0.00260336 Generator_loss: 5.90101
[INFO] 2020-09-15 13:47:07 > Step: 15300 Progress: 7.6% Elapsed: 0:23:08 temperature: no ada_p: No Discriminator_loss: 0.00115793 Generator_loss: 5.00698
[INFO] 2020-09-15 13:47:12 > Step: 15400 Progress: 7.7% Elapsed: 0:23:13 temperature: no ada_p: No Discriminator_loss: 0.0069592 Generator_loss: 4.47904
[INFO] 2020-09-15 13:47:17 > Step: 15500 Progress: 7.8% Elapsed: 0:23:17 temperature: no ada_p: No Discriminator_loss: 0.00921387 Generator_loss: 7.21371
[INFO] 2020-09-15 13:47:21 > Step: 15600 Progress: 7.8% Elapsed: 0:23:22 temperature: no ada_p: No Discriminator_loss: 0.00308242 Generator_loss: 7.16804
[INFO] 2020-09-15 13:47:27 > Step: 15700 Progress: 7.8% Elapsed: 0:23:27 temperature: no ada_p: No Discriminator_loss: 0.0334369 Generator_loss: 7.23633
[INFO] 2020-09-15 13:47:31 > Step: 15800 Progress: 7.9% Elapsed: 0:23:32 temperature: no ada_p: No Discriminator_loss: 0.00269469 Generator_loss: 10.4645
[INFO] 2020-09-15 13:47:36 > Step: 15900 Progress: 8.0% Elapsed: 0:23:36 temperature: no ada_p: No Discriminator_loss: 0.0339373 Generator_loss: 9.8383
[INFO] 2020-09-15 13:47:41 > Step: 16000 Progress: 8.0% Elapsed: 0:23:41 temperature: no ada_p: No Discriminator_loss: 0.0587557 Generator_loss: 6.21783
[INFO] 2020-09-15 13:47:41 > Start Evaluation (16000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:49:14 > F_8 score (Step: 16000, Using test images): 0.7099684464538008
[INFO] 2020-09-15 13:49:14 > F_1/8 score (Step: 16000, Using test images): 0.816278013490374
[INFO] 2020-09-15 13:49:14 > FID score (Step: 16000, Using test moments): 59.906243174186784
[INFO] 2020-09-15 13:49:14 > Inception score (Step: 16000, 10000 generated images): 5.6746392250061035
[INFO] 2020-09-15 13:49:14 > Best FID score (Step: 16000, Using test moments): 59.906243174186784
[INFO] 2020-09-15 13:49:15 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:49:20 > Step: 16100 Progress: 8.1% Elapsed: 0:25:20 temperature: no ada_p: No Discriminator_loss: 0.00052587 Generator_loss: 7.92265
[INFO] 2020-09-15 13:49:24 > Step: 16200 Progress: 8.1% Elapsed: 0:25:25 temperature: no ada_p: No Discriminator_loss: 0.00145766 Generator_loss: 12.5918
[INFO] 2020-09-15 13:49:28 > Step: 16300 Progress: 8.2% Elapsed: 0:25:29 temperature: no ada_p: No Discriminator_loss: 0.0119877 Generator_loss: 4.30045
[INFO] 2020-09-15 13:49:33 > Step: 16400 Progress: 8.2% Elapsed: 0:25:33 temperature: no ada_p: No Discriminator_loss: 0.000586217 Generator_loss: 9.30735
[INFO] 2020-09-15 13:49:38 > Step: 16500 Progress: 8.2% Elapsed: 0:25:39 temperature: no ada_p: No Discriminator_loss: 0.00155663 Generator_loss: 7.68982
[INFO] 2020-09-15 13:49:43 > Step: 16600 Progress: 8.3% Elapsed: 0:25:43 temperature: no ada_p: No Discriminator_loss: 0.0242223 Generator_loss: 5.89641
[INFO] 2020-09-15 13:49:47 > Step: 16700 Progress: 8.3% Elapsed: 0:25:48 temperature: no ada_p: No Discriminator_loss: 0.0143901 Generator_loss: 7.35275
[INFO] 2020-09-15 13:49:53 > Step: 16800 Progress: 8.4% Elapsed: 0:25:53 temperature: no ada_p: No Discriminator_loss: 0.0104147 Generator_loss: 1.34846
[INFO] 2020-09-15 13:49:57 > Step: 16900 Progress: 8.5% Elapsed: 0:25:58 temperature: no ada_p: No Discriminator_loss: 0.0114981 Generator_loss: 6.83505
[INFO] 2020-09-15 13:50:02 > Step: 17000 Progress: 8.5% Elapsed: 0:26:03 temperature: no ada_p: No Discriminator_loss: 0.0168424 Generator_loss: 6.31379
[INFO] 2020-09-15 13:50:07 > Step: 17100 Progress: 8.6% Elapsed: 0:26:07 temperature: no ada_p: No Discriminator_loss: 0.0126758 Generator_loss: 10.015
[INFO] 2020-09-15 13:50:12 > Step: 17200 Progress: 8.6% Elapsed: 0:26:13 temperature: no ada_p: No Discriminator_loss: 0.0850482 Generator_loss: 7.85439
[INFO] 2020-09-15 13:50:17 > Step: 17300 Progress: 8.6% Elapsed: 0:26:18 temperature: no ada_p: No Discriminator_loss: 0.00494023 Generator_loss: 8.51894
[INFO] 2020-09-15 13:50:22 > Step: 17400 Progress: 8.7% Elapsed: 0:26:22 temperature: no ada_p: No Discriminator_loss: 0.000601122 Generator_loss: 8.68192
[INFO] 2020-09-15 13:50:26 > Step: 17500 Progress: 8.8% Elapsed: 0:26:27 temperature: no ada_p: No Discriminator_loss: 0.00294502 Generator_loss: 3.17937
[INFO] 2020-09-15 13:50:32 > Step: 17600 Progress: 8.8% Elapsed: 0:26:32 temperature: no ada_p: No Discriminator_loss: 0.000351493 Generator_loss: 9.1348
[INFO] 2020-09-15 13:50:36 > Step: 17700 Progress: 8.8% Elapsed: 0:26:37 temperature: no ada_p: No Discriminator_loss: 0.000423759 Generator_loss: 8.10679
[INFO] 2020-09-15 13:50:41 > Step: 17800 Progress: 8.9% Elapsed: 0:26:42 temperature: no ada_p: No Discriminator_loss: 0.0132576 Generator_loss: 5.75233
[INFO] 2020-09-15 13:50:46 > Step: 17900 Progress: 8.9% Elapsed: 0:26:46 temperature: no ada_p: No Discriminator_loss: 0.0165418 Generator_loss: 4.33932
[INFO] 2020-09-15 13:50:51 > Step: 18000 Progress: 9.0% Elapsed: 0:26:52 temperature: no ada_p: No Discriminator_loss: 0.00214818 Generator_loss: 7.08952
[INFO] 2020-09-15 13:50:51 > Start Evaluation (18000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:52:27 > F_8 score (Step: 18000, Using test images): 0.6181409349830568
[INFO] 2020-09-15 13:52:27 > F_1/8 score (Step: 18000, Using test images): 0.797578334116198
[INFO] 2020-09-15 13:52:27 > FID score (Step: 18000, Using test moments): 66.27849985791914
[INFO] 2020-09-15 13:52:27 > Inception score (Step: 18000, 10000 generated images): 5.271633148193359
[INFO] 2020-09-15 13:52:27 > Best FID score (Step: 16000, Using test moments): 59.906243174186784
[INFO] 2020-09-15 13:52:27 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:52:31 > Step: 18100 Progress: 9.0% Elapsed: 0:28:32 temperature: no ada_p: No Discriminator_loss: 0.000418822 Generator_loss: 8.66591
[INFO] 2020-09-15 13:52:36 > Step: 18200 Progress: 9.1% Elapsed: 0:28:36 temperature: no ada_p: No Discriminator_loss: 0.00964946 Generator_loss: 3.69777
[INFO] 2020-09-15 13:52:40 > Step: 18300 Progress: 9.2% Elapsed: 0:28:41 temperature: no ada_p: No Discriminator_loss: 0.0211782 Generator_loss: 7.32017
[INFO] 2020-09-15 13:52:45 > Step: 18400 Progress: 9.2% Elapsed: 0:28:46 temperature: no ada_p: No Discriminator_loss: 0.0140963 Generator_loss: 5.46004
[INFO] 2020-09-15 13:52:50 > Step: 18500 Progress: 9.2% Elapsed: 0:28:50 temperature: no ada_p: No Discriminator_loss: 0.00081209 Generator_loss: 3.6308
[INFO] 2020-09-15 13:52:54 > Step: 18600 Progress: 9.3% Elapsed: 0:28:55 temperature: no ada_p: No Discriminator_loss: 0.025923 Generator_loss: 6.32989
[INFO] 2020-09-15 13:52:59 > Step: 18700 Progress: 9.3% Elapsed: 0:29:00 temperature: no ada_p: No Discriminator_loss: 0.00163107 Generator_loss: 11.8871
[INFO] 2020-09-15 13:53:04 > Step: 18800 Progress: 9.4% Elapsed: 0:29:05 temperature: no ada_p: No Discriminator_loss: 0.00448937 Generator_loss: 0.754897
[INFO] 2020-09-15 13:53:09 > Step: 18900 Progress: 9.4% Elapsed: 0:29:10 temperature: no ada_p: No Discriminator_loss: 0.0116954 Generator_loss: 8.113
[INFO] 2020-09-15 13:53:14 > Step: 19000 Progress: 9.5% Elapsed: 0:29:14 temperature: no ada_p: No Discriminator_loss: 0.0100475 Generator_loss: 6.31372
[INFO] 2020-09-15 13:53:18 > Step: 19100 Progress: 9.6% Elapsed: 0:29:19 temperature: no ada_p: No Discriminator_loss: 0.00071611 Generator_loss: 6.67677
[INFO] 2020-09-15 13:53:24 > Step: 19200 Progress: 9.6% Elapsed: 0:29:24 temperature: no ada_p: No Discriminator_loss: 0.0540973 Generator_loss: 5.67494
[INFO] 2020-09-15 13:53:29 > Step: 19300 Progress: 9.7% Elapsed: 0:29:29 temperature: no ada_p: No Discriminator_loss: 0.0454686 Generator_loss: 5.06135
[INFO] 2020-09-15 13:53:33 > Step: 19400 Progress: 9.7% Elapsed: 0:29:34 temperature: no ada_p: No Discriminator_loss: 0.000658134 Generator_loss: 8.5769
[INFO] 2020-09-15 13:53:38 > Step: 19500 Progress: 9.8% Elapsed: 0:29:39 temperature: no ada_p: No Discriminator_loss: 0.262229 Generator_loss: 4.69534
[INFO] 2020-09-15 13:53:44 > Step: 19600 Progress: 9.8% Elapsed: 0:29:44 temperature: no ada_p: No Discriminator_loss: 0.0444618 Generator_loss: 7.68524
[INFO] 2020-09-15 13:53:48 > Step: 19700 Progress: 9.8% Elapsed: 0:29:49 temperature: no ada_p: No Discriminator_loss: 0.0179198 Generator_loss: 8.11852
[INFO] 2020-09-15 13:53:53 > Step: 19800 Progress: 9.9% Elapsed: 0:29:54 temperature: no ada_p: No Discriminator_loss: 0.00227814 Generator_loss: 6.64635
[INFO] 2020-09-15 13:53:58 > Step: 19900 Progress: 10.0% Elapsed: 0:29:58 temperature: no ada_p: No Discriminator_loss: 0.00623182 Generator_loss: 5.64225
[INFO] 2020-09-15 13:54:03 > Step: 20000 Progress: 10.0% Elapsed: 0:30:04 temperature: no ada_p: No Discriminator_loss: 0.00420632 Generator_loss: 6.13639
[INFO] 2020-09-15 13:54:03 > Start Evaluation (20000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:55:38 > F_8 score (Step: 20000, Using test images): 0.7030025152818846
[INFO] 2020-09-15 13:55:38 > F_1/8 score (Step: 20000, Using test images): 0.8184576431612305
[INFO] 2020-09-15 13:55:38 > FID score (Step: 20000, Using test moments): 60.328623024796684
[INFO] 2020-09-15 13:55:38 > Inception score (Step: 20000, 10000 generated images): 5.292593479156494
[INFO] 2020-09-15 13:55:38 > Best FID score (Step: 16000, Using test moments): 59.906243174186784
[INFO] 2020-09-15 13:55:38 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:55:43 > Step: 20100 Progress: 10.1% Elapsed: 0:31:43 temperature: no ada_p: No Discriminator_loss: 0.00111399 Generator_loss: 5.85455
[INFO] 2020-09-15 13:55:47 > Step: 20200 Progress: 10.1% Elapsed: 0:31:47 temperature: no ada_p: No Discriminator_loss: 0.000771994 Generator_loss: 9.4169
[INFO] 2020-09-15 13:55:51 > Step: 20300 Progress: 10.2% Elapsed: 0:31:52 temperature: no ada_p: No Discriminator_loss: 0.000947427 Generator_loss: 9.55141
[INFO] 2020-09-15 13:55:57 > Step: 20400 Progress: 10.2% Elapsed: 0:31:57 temperature: no ada_p: No Discriminator_loss: 0.00321784 Generator_loss: 2.4586
[INFO] 2020-09-15 13:56:01 > Step: 20500 Progress: 10.2% Elapsed: 0:32:02 temperature: no ada_p: No Discriminator_loss: 0.0474913 Generator_loss: 5.47344
[INFO] 2020-09-15 13:56:06 > Step: 20600 Progress: 10.3% Elapsed: 0:32:06 temperature: no ada_p: No Discriminator_loss: 0.026656 Generator_loss: 6.56854
[INFO] 2020-09-15 13:56:11 > Step: 20700 Progress: 10.3% Elapsed: 0:32:12 temperature: no ada_p: No Discriminator_loss: 0.00153353 Generator_loss: 7.77885
[INFO] 2020-09-15 13:56:16 > Step: 20800 Progress: 10.4% Elapsed: 0:32:16 temperature: no ada_p: No Discriminator_loss: 0.00458695 Generator_loss: 7.73883
[INFO] 2020-09-15 13:56:21 > Step: 20900 Progress: 10.4% Elapsed: 0:32:21 temperature: no ada_p: No Discriminator_loss: 0.0886273 Generator_loss: 8.48225
[INFO] 2020-09-15 13:56:25 > Step: 21000 Progress: 10.5% Elapsed: 0:32:26 temperature: no ada_p: No Discriminator_loss: 0.00221036 Generator_loss: 3.69661
[INFO] 2020-09-15 13:56:31 > Step: 21100 Progress: 10.5% Elapsed: 0:32:31 temperature: no ada_p: No Discriminator_loss: 0.00653423 Generator_loss: 3.9507
[INFO] 2020-09-15 13:56:35 > Step: 21200 Progress: 10.6% Elapsed: 0:32:36 temperature: no ada_p: No Discriminator_loss: 0.000433376 Generator_loss: 5.99064
[INFO] 2020-09-15 13:56:40 > Step: 21300 Progress: 10.7% Elapsed: 0:32:41 temperature: no ada_p: No Discriminator_loss: 0.00819109 Generator_loss: 5.96603
[INFO] 2020-09-15 13:56:45 > Step: 21400 Progress: 10.7% Elapsed: 0:32:45 temperature: no ada_p: No Discriminator_loss: 0.0029021 Generator_loss: 5.28048
[INFO] 2020-09-15 13:56:50 > Step: 21500 Progress: 10.8% Elapsed: 0:32:51 temperature: no ada_p: No Discriminator_loss: 0.00236885 Generator_loss: 3.94176
[INFO] 2020-09-15 13:56:55 > Step: 21600 Progress: 10.8% Elapsed: 0:32:55 temperature: no ada_p: No Discriminator_loss: 0.00573364 Generator_loss: 7.74298
[INFO] 2020-09-15 13:56:59 > Step: 21700 Progress: 10.8% Elapsed: 0:33:00 temperature: no ada_p: No Discriminator_loss: 0.0137302 Generator_loss: 6.40659
[INFO] 2020-09-15 13:57:04 > Step: 21800 Progress: 10.9% Elapsed: 0:33:05 temperature: no ada_p: No Discriminator_loss: 0.00500293 Generator_loss: 8.2651
[INFO] 2020-09-15 13:57:10 > Step: 21900 Progress: 10.9% Elapsed: 0:33:10 temperature: no ada_p: No Discriminator_loss: 0.0539595 Generator_loss: 4.57486
[INFO] 2020-09-15 13:57:14 > Step: 22000 Progress: 11.0% Elapsed: 0:33:15 temperature: no ada_p: No Discriminator_loss: 0.00307988 Generator_loss: 4.93841
[INFO] 2020-09-15 13:57:14 > Start Evaluation (22000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:58:47 > F_8 score (Step: 22000, Using test images): 0.7460957770499043
[INFO] 2020-09-15 13:58:47 > F_1/8 score (Step: 22000, Using test images): 0.8694647922712622
[INFO] 2020-09-15 13:58:47 > FID score (Step: 22000, Using test moments): 57.86184303514244
[INFO] 2020-09-15 13:58:47 > Inception score (Step: 22000, 10000 generated images): 6.163416385650635
[INFO] 2020-09-15 13:58:47 > Best FID score (Step: 22000, Using test moments): 57.86184303514244
[INFO] 2020-09-15 13:58:48 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 13:58:52 > Step: 22100 Progress: 11.1% Elapsed: 0:34:52 temperature: no ada_p: No Discriminator_loss: 0.0467088 Generator_loss: 5.54869
[INFO] 2020-09-15 13:58:56 > Step: 22200 Progress: 11.1% Elapsed: 0:34:57 temperature: no ada_p: No Discriminator_loss: 0.000994148 Generator_loss: 6.64217
[INFO] 2020-09-15 13:59:01 > Step: 22300 Progress: 11.2% Elapsed: 0:35:02 temperature: no ada_p: No Discriminator_loss: 0.00698549 Generator_loss: 8.11867
[INFO] 2020-09-15 13:59:06 > Step: 22400 Progress: 11.2% Elapsed: 0:35:06 temperature: no ada_p: No Discriminator_loss: 0.00215924 Generator_loss: 5.03048
[INFO] 2020-09-15 13:59:10 > Step: 22500 Progress: 11.2% Elapsed: 0:35:11 temperature: no ada_p: No Discriminator_loss: 0.0168431 Generator_loss: 9.89415
[INFO] 2020-09-15 13:59:14 > Step: 22600 Progress: 11.3% Elapsed: 0:35:15 temperature: no ada_p: No Discriminator_loss: 0.00169646 Generator_loss: 4.60439
[INFO] 2020-09-15 13:59:20 > Step: 22700 Progress: 11.3% Elapsed: 0:35:20 temperature: no ada_p: No Discriminator_loss: 0.00459989 Generator_loss: 6.84384
[INFO] 2020-09-15 13:59:24 > Step: 22800 Progress: 11.4% Elapsed: 0:35:25 temperature: no ada_p: No Discriminator_loss: 0.0102596 Generator_loss: 10.888
[INFO] 2020-09-15 13:59:29 > Step: 22900 Progress: 11.5% Elapsed: 0:35:29 temperature: no ada_p: No Discriminator_loss: 0.00754073 Generator_loss: 4.01879
[INFO] 2020-09-15 13:59:33 > Step: 23000 Progress: 11.5% Elapsed: 0:35:34 temperature: no ada_p: No Discriminator_loss: 0.00966967 Generator_loss: 8.6232
[INFO] 2020-09-15 13:59:38 > Step: 23100 Progress: 11.6% Elapsed: 0:35:39 temperature: no ada_p: No Discriminator_loss: 0.0408186 Generator_loss: 2.4828
[INFO] 2020-09-15 13:59:43 > Step: 23200 Progress: 11.6% Elapsed: 0:35:43 temperature: no ada_p: No Discriminator_loss: 0.00350625 Generator_loss: 7.23601
[INFO] 2020-09-15 13:59:47 > Step: 23300 Progress: 11.7% Elapsed: 0:35:48 temperature: no ada_p: No Discriminator_loss: 0.000219458 Generator_loss: 8.01194
[INFO] 2020-09-15 13:59:52 > Step: 23400 Progress: 11.7% Elapsed: 0:35:52 temperature: no ada_p: No Discriminator_loss: 0.00233862 Generator_loss: 4.8754
[INFO] 2020-09-15 13:59:57 > Step: 23500 Progress: 11.8% Elapsed: 0:35:58 temperature: no ada_p: No Discriminator_loss: 0.0160745 Generator_loss: 6.78092
[INFO] 2020-09-15 14:00:02 > Step: 23600 Progress: 11.8% Elapsed: 0:36:02 temperature: no ada_p: No Discriminator_loss: 0.0401121 Generator_loss: 7.06462
[INFO] 2020-09-15 14:00:06 > Step: 23700 Progress: 11.8% Elapsed: 0:36:07 temperature: no ada_p: No Discriminator_loss: 0.00141213 Generator_loss: 7.60636
[INFO] 2020-09-15 14:00:11 > Step: 23800 Progress: 11.9% Elapsed: 0:36:11 temperature: no ada_p: No Discriminator_loss: 0.0090456 Generator_loss: 5.94051
[INFO] 2020-09-15 14:00:16 > Step: 23900 Progress: 11.9% Elapsed: 0:36:17 temperature: no ada_p: No Discriminator_loss: 3.91951 Generator_loss: 4.46718
[INFO] 2020-09-15 14:00:20 > Step: 24000 Progress: 12.0% Elapsed: 0:36:21 temperature: no ada_p: No Discriminator_loss: 4.18923e-05 Generator_loss: 7.32655
[INFO] 2020-09-15 14:00:21 > Start Evaluation (24000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:01:54 > F_8 score (Step: 24000, Using test images): 0.7370862430328813
[INFO] 2020-09-15 14:01:54 > F_1/8 score (Step: 24000, Using test images): 0.8219392977986153
[INFO] 2020-09-15 14:01:54 > FID score (Step: 24000, Using test moments): 55.198320368364364
[INFO] 2020-09-15 14:01:54 > Inception score (Step: 24000, 10000 generated images): 5.873708724975586
[INFO] 2020-09-15 14:01:54 > Best FID score (Step: 24000, Using test moments): 55.198320368364364
[INFO] 2020-09-15 14:01:54 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:01:58 > Step: 24100 Progress: 12.0% Elapsed: 0:37:59 temperature: no ada_p: No Discriminator_loss: 0.000937224 Generator_loss: 8.56099
[INFO] 2020-09-15 14:02:02 > Step: 24200 Progress: 12.1% Elapsed: 0:38:03 temperature: no ada_p: No Discriminator_loss: 0.0003754 Generator_loss: 5.68599
[INFO] 2020-09-15 14:02:07 > Step: 24300 Progress: 12.2% Elapsed: 0:38:08 temperature: no ada_p: No Discriminator_loss: 0.00311421 Generator_loss: 8.04815
[INFO] 2020-09-15 14:02:12 > Step: 24400 Progress: 12.2% Elapsed: 0:38:12 temperature: no ada_p: No Discriminator_loss: 0.00554967 Generator_loss: 4.88254
[INFO] 2020-09-15 14:02:16 > Step: 24500 Progress: 12.2% Elapsed: 0:38:17 temperature: no ada_p: No Discriminator_loss: 0.00713555 Generator_loss: 7.35344
[INFO] 2020-09-15 14:02:21 > Step: 24600 Progress: 12.3% Elapsed: 0:38:21 temperature: no ada_p: No Discriminator_loss: 0.00118725 Generator_loss: 6.13065
[INFO] 2020-09-15 14:02:26 > Step: 24700 Progress: 12.3% Elapsed: 0:38:26 temperature: no ada_p: No Discriminator_loss: 0.00547763 Generator_loss: 7.81566
[INFO] 2020-09-15 14:02:30 > Step: 24800 Progress: 12.4% Elapsed: 0:38:31 temperature: no ada_p: No Discriminator_loss: 0.00051498 Generator_loss: 7.86288
[INFO] 2020-09-15 14:02:35 > Step: 24900 Progress: 12.4% Elapsed: 0:38:35 temperature: no ada_p: No Discriminator_loss: 0.00104139 Generator_loss: 7.94395
[INFO] 2020-09-15 14:02:40 > Step: 25000 Progress: 12.5% Elapsed: 0:38:40 temperature: no ada_p: No Discriminator_loss: 0.00664703 Generator_loss: 6.39235
[INFO] 2020-09-15 14:02:44 > Step: 25100 Progress: 12.6% Elapsed: 0:38:45 temperature: no ada_p: No Discriminator_loss: 0.000463823 Generator_loss: 10.5238
[INFO] 2020-09-15 14:02:49 > Step: 25200 Progress: 12.6% Elapsed: 0:38:50 temperature: no ada_p: No Discriminator_loss: 0.00976155 Generator_loss: 5.67529
[INFO] 2020-09-15 14:02:53 > Step: 25300 Progress: 12.7% Elapsed: 0:38:54 temperature: no ada_p: No Discriminator_loss: 0.00662155 Generator_loss: 9.2903
[INFO] 2020-09-15 14:02:59 > Step: 25400 Progress: 12.7% Elapsed: 0:38:59 temperature: no ada_p: No Discriminator_loss: 0.0251827 Generator_loss: 7.63292
[INFO] 2020-09-15 14:03:03 > Step: 25500 Progress: 12.8% Elapsed: 0:39:04 temperature: no ada_p: No Discriminator_loss: 0.140195 Generator_loss: 4.96472
[INFO] 2020-09-15 14:03:08 > Step: 25600 Progress: 12.8% Elapsed: 0:39:08 temperature: no ada_p: No Discriminator_loss: 0.00438101 Generator_loss: 5.6703
[INFO] 2020-09-15 14:03:12 > Step: 25700 Progress: 12.8% Elapsed: 0:39:13 temperature: no ada_p: No Discriminator_loss: 0.0035008 Generator_loss: 6.10019
[INFO] 2020-09-15 14:03:17 > Step: 25800 Progress: 12.9% Elapsed: 0:39:18 temperature: no ada_p: No Discriminator_loss: 0.023025 Generator_loss: 6.94812
[INFO] 2020-09-15 14:03:22 > Step: 25900 Progress: 13.0% Elapsed: 0:39:22 temperature: no ada_p: No Discriminator_loss: 0.000506743 Generator_loss: 9.59521
[INFO] 2020-09-15 14:03:26 > Step: 26000 Progress: 13.0% Elapsed: 0:39:27 temperature: no ada_p: No Discriminator_loss: 0.00169384 Generator_loss: 10.1433
[INFO] 2020-09-15 14:03:26 > Start Evaluation (26000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:04:59 > F_8 score (Step: 26000, Using test images): 0.7893544265053705
[INFO] 2020-09-15 14:04:59 > F_1/8 score (Step: 26000, Using test images): 0.8717889329446429
[INFO] 2020-09-15 14:04:59 > FID score (Step: 26000, Using test moments): 50.6279501750621
[INFO] 2020-09-15 14:04:59 > Inception score (Step: 26000, 10000 generated images): 6.07000732421875
[INFO] 2020-09-15 14:04:59 > Best FID score (Step: 26000, Using test moments): 50.6279501750621
[INFO] 2020-09-15 14:04:59 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:05:03 > Step: 26100 Progress: 13.1% Elapsed: 0:41:03 temperature: no ada_p: No Discriminator_loss: 0.000498747 Generator_loss: 12.9021
[INFO] 2020-09-15 14:05:08 > Step: 26200 Progress: 13.1% Elapsed: 0:41:08 temperature: no ada_p: No Discriminator_loss: 0.0183428 Generator_loss: 14.3123
[INFO] 2020-09-15 14:05:12 > Step: 26300 Progress: 13.2% Elapsed: 0:41:13 temperature: no ada_p: No Discriminator_loss: 0.000101683 Generator_loss: 9.2807
[INFO] 2020-09-15 14:05:17 > Step: 26400 Progress: 13.2% Elapsed: 0:41:17 temperature: no ada_p: No Discriminator_loss: 0.0058295 Generator_loss: 6.7137
[INFO] 2020-09-15 14:05:21 > Step: 26500 Progress: 13.2% Elapsed: 0:41:22 temperature: no ada_p: No Discriminator_loss: 0.0419128 Generator_loss: 5.9264
[INFO] 2020-09-15 14:05:26 > Step: 26600 Progress: 13.3% Elapsed: 0:41:27 temperature: no ada_p: No Discriminator_loss: 0.00173583 Generator_loss: 4.73533
[INFO] 2020-09-15 14:05:31 > Step: 26700 Progress: 13.4% Elapsed: 0:41:31 temperature: no ada_p: No Discriminator_loss: 0.0092364 Generator_loss: 1.42562
[INFO] 2020-09-15 14:05:35 > Step: 26800 Progress: 13.4% Elapsed: 0:41:36 temperature: no ada_p: No Discriminator_loss: 0.0515081 Generator_loss: 4.65857
[INFO] 2020-09-15 14:05:39 > Step: 26900 Progress: 13.5% Elapsed: 0:41:40 temperature: no ada_p: No Discriminator_loss: 0.00103639 Generator_loss: 3.85012
[INFO] 2020-09-15 14:05:45 > Step: 27000 Progress: 13.5% Elapsed: 0:41:45 temperature: no ada_p: No Discriminator_loss: 0.000596013 Generator_loss: 4.6592
[INFO] 2020-09-15 14:05:49 > Step: 27100 Progress: 13.6% Elapsed: 0:41:50 temperature: no ada_p: No Discriminator_loss: 0.0284704 Generator_loss: 8.1139
[INFO] 2020-09-15 14:05:54 > Step: 27200 Progress: 13.6% Elapsed: 0:41:54 temperature: no ada_p: No Discriminator_loss: 0.00168381 Generator_loss: 9.31194
[INFO] 2020-09-15 14:05:58 > Step: 27300 Progress: 13.7% Elapsed: 0:41:59 temperature: no ada_p: No Discriminator_loss: 0.00141077 Generator_loss: 8.8156
[INFO] 2020-09-15 14:06:03 > Step: 27400 Progress: 13.7% Elapsed: 0:42:04 temperature: no ada_p: No Discriminator_loss: 0.00234091 Generator_loss: 6.9791
[INFO] 2020-09-15 14:06:08 > Step: 27500 Progress: 13.8% Elapsed: 0:42:08 temperature: no ada_p: No Discriminator_loss: 0.00228964 Generator_loss: 6.70185
[INFO] 2020-09-15 14:06:12 > Step: 27600 Progress: 13.8% Elapsed: 0:42:13 temperature: no ada_p: No Discriminator_loss: 0.000270491 Generator_loss: 3.11816
[INFO] 2020-09-15 14:06:17 > Step: 27700 Progress: 13.9% Elapsed: 0:42:17 temperature: no ada_p: No Discriminator_loss: 0.00108773 Generator_loss: 4.68894
[INFO] 2020-09-15 14:06:22 > Step: 27800 Progress: 13.9% Elapsed: 0:42:22 temperature: no ada_p: No Discriminator_loss: 0.00179818 Generator_loss: 7.9453
[INFO] 2020-09-15 14:06:26 > Step: 27900 Progress: 14.0% Elapsed: 0:42:27 temperature: no ada_p: No Discriminator_loss: 0.000268479 Generator_loss: 4.18038
[INFO] 2020-09-15 14:06:31 > Step: 28000 Progress: 14.0% Elapsed: 0:42:32 temperature: no ada_p: No Discriminator_loss: 0.000818215 Generator_loss: 12.0306
[INFO] 2020-09-15 14:06:31 > Start Evaluation (28000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:08:04 > F_8 score (Step: 28000, Using test images): 0.6945406717254293
[INFO] 2020-09-15 14:08:04 > F_1/8 score (Step: 28000, Using test images): 0.7944417090915422
[INFO] 2020-09-15 14:08:04 > FID score (Step: 28000, Using test moments): 67.34422567343518
[INFO] 2020-09-15 14:08:04 > Inception score (Step: 28000, 10000 generated images): 5.608004093170166
[INFO] 2020-09-15 14:08:04 > Best FID score (Step: 26000, Using test moments): 50.6279501750621
[INFO] 2020-09-15 14:08:04 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:08:08 > Step: 28100 Progress: 14.1% Elapsed: 0:44:08 temperature: no ada_p: No Discriminator_loss: 0.00530691 Generator_loss: 10.2329
[INFO] 2020-09-15 14:08:13 > Step: 28200 Progress: 14.1% Elapsed: 0:44:13 temperature: no ada_p: No Discriminator_loss: 0.00270736 Generator_loss: 8.84666
[INFO] 2020-09-15 14:08:17 > Step: 28300 Progress: 14.1% Elapsed: 0:44:17 temperature: no ada_p: No Discriminator_loss: 0.0143992 Generator_loss: 9.86043
[INFO] 2020-09-15 14:08:21 > Step: 28400 Progress: 14.2% Elapsed: 0:44:22 temperature: no ada_p: No Discriminator_loss: 8.58685e-05 Generator_loss: 3.57245
[INFO] 2020-09-15 14:08:26 > Step: 28500 Progress: 14.2% Elapsed: 0:44:26 temperature: no ada_p: No Discriminator_loss: 0.00399651 Generator_loss: 9.81721
[INFO] 2020-09-15 14:08:31 > Step: 28600 Progress: 14.3% Elapsed: 0:44:31 temperature: no ada_p: No Discriminator_loss: 0.00764131 Generator_loss: 7.08432
[INFO] 2020-09-15 14:08:35 > Step: 28700 Progress: 14.3% Elapsed: 0:44:36 temperature: no ada_p: No Discriminator_loss: 0.00125116 Generator_loss: 7.446
[INFO] 2020-09-15 14:08:39 > Step: 28800 Progress: 14.4% Elapsed: 0:44:40 temperature: no ada_p: No Discriminator_loss: 0.012767 Generator_loss: 7.37112
[INFO] 2020-09-15 14:08:45 > Step: 28900 Progress: 14.4% Elapsed: 0:44:45 temperature: no ada_p: No Discriminator_loss: 0.00644491 Generator_loss: 2.59043
[INFO] 2020-09-15 14:08:49 > Step: 29000 Progress: 14.5% Elapsed: 0:44:50 temperature: no ada_p: No Discriminator_loss: 0.248571 Generator_loss: 9.90745
[INFO] 2020-09-15 14:08:54 > Step: 29100 Progress: 14.5% Elapsed: 0:44:54 temperature: no ada_p: No Discriminator_loss: 0.0014333 Generator_loss: 7.66707
[INFO] 2020-09-15 14:08:58 > Step: 29200 Progress: 14.6% Elapsed: 0:44:59 temperature: no ada_p: No Discriminator_loss: 0.000308671 Generator_loss: 6.2486
[INFO] 2020-09-15 14:09:04 > Step: 29300 Progress: 14.6% Elapsed: 0:45:04 temperature: no ada_p: No Discriminator_loss: 0.000686911 Generator_loss: 7.78276
[INFO] 2020-09-15 14:09:08 > Step: 29400 Progress: 14.7% Elapsed: 0:45:09 temperature: no ada_p: No Discriminator_loss: 0.00147744 Generator_loss: 4.62411
[INFO] 2020-09-15 14:09:13 > Step: 29500 Progress: 14.8% Elapsed: 0:45:13 temperature: no ada_p: No Discriminator_loss: 0.00227122 Generator_loss: 9.7059
[INFO] 2020-09-15 14:09:17 > Step: 29600 Progress: 14.8% Elapsed: 0:45:18 temperature: no ada_p: No Discriminator_loss: 0.00420599 Generator_loss: 6.43297
[INFO] 2020-09-15 14:09:22 > Step: 29700 Progress: 14.8% Elapsed: 0:45:23 temperature: no ada_p: No Discriminator_loss: 0.0139099 Generator_loss: 5.81875
[INFO] 2020-09-15 14:09:27 > Step: 29800 Progress: 14.9% Elapsed: 0:45:28 temperature: no ada_p: No Discriminator_loss: 0.00479227 Generator_loss: 7.8173
[INFO] 2020-09-15 14:09:31 > Step: 29900 Progress: 14.9% Elapsed: 0:45:32 temperature: no ada_p: No Discriminator_loss: 0.00995494 Generator_loss: 5.35675
[INFO] 2020-09-15 14:09:36 > Step: 30000 Progress: 15.0% Elapsed: 0:45:37 temperature: no ada_p: No Discriminator_loss: 0.00192256 Generator_loss: 5.76194
[INFO] 2020-09-15 14:09:36 > Start Evaluation (30000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:11:09 > F_8 score (Step: 30000, Using test images): 0.7044053275013693
[INFO] 2020-09-15 14:11:09 > F_1/8 score (Step: 30000, Using test images): 0.7680001653584625
[INFO] 2020-09-15 14:11:09 > FID score (Step: 30000, Using test moments): 65.6631438528928
[INFO] 2020-09-15 14:11:09 > Inception score (Step: 30000, 10000 generated images): 5.472978591918945
[INFO] 2020-09-15 14:11:09 > Best FID score (Step: 26000, Using test moments): 50.6279501750621
[INFO] 2020-09-15 14:11:09 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:11:13 > Step: 30100 Progress: 15.0% Elapsed: 0:47:14 temperature: no ada_p: No Discriminator_loss: 0.00217716 Generator_loss: 3.46007
[INFO] 2020-09-15 14:11:18 > Step: 30200 Progress: 15.1% Elapsed: 0:47:18 temperature: no ada_p: No Discriminator_loss: 0.00882843 Generator_loss: 8.34724
[INFO] 2020-09-15 14:11:22 > Step: 30300 Progress: 15.2% Elapsed: 0:47:22 temperature: no ada_p: No Discriminator_loss: 0.00263763 Generator_loss: 8.99598
[INFO] 2020-09-15 14:11:26 > Step: 30400 Progress: 15.2% Elapsed: 0:47:27 temperature: no ada_p: No Discriminator_loss: 0.000431867 Generator_loss: 8.35151
[INFO] 2020-09-15 14:11:31 > Step: 30500 Progress: 15.2% Elapsed: 0:47:32 temperature: no ada_p: No Discriminator_loss: 0.0021037 Generator_loss: 4.22612
[INFO] 2020-09-15 14:11:36 > Step: 30600 Progress: 15.3% Elapsed: 0:47:36 temperature: no ada_p: No Discriminator_loss: 0.0343751 Generator_loss: 10.7325
[INFO] 2020-09-15 14:11:40 > Step: 30700 Progress: 15.3% Elapsed: 0:47:41 temperature: no ada_p: No Discriminator_loss: 0.237109 Generator_loss: 0.892983
[INFO] 2020-09-15 14:11:44 > Step: 30800 Progress: 15.4% Elapsed: 0:47:45 temperature: no ada_p: No Discriminator_loss: 0.00184388 Generator_loss: 6.23134
[INFO] 2020-09-15 14:11:50 > Step: 30900 Progress: 15.4% Elapsed: 0:47:50 temperature: no ada_p: No Discriminator_loss: 0.0035735 Generator_loss: 12.6551
[INFO] 2020-09-15 14:11:54 > Step: 31000 Progress: 15.5% Elapsed: 0:47:55 temperature: no ada_p: No Discriminator_loss: 0.000182061 Generator_loss: 4.40639
[INFO] 2020-09-15 14:11:59 > Step: 31100 Progress: 15.6% Elapsed: 0:47:59 temperature: no ada_p: No Discriminator_loss: 0.00335807 Generator_loss: 13.088
[INFO] 2020-09-15 14:12:03 > Step: 31200 Progress: 15.6% Elapsed: 0:48:04 temperature: no ada_p: No Discriminator_loss: 0.00385264 Generator_loss: 9.36462
[INFO] 2020-09-15 14:12:08 > Step: 31300 Progress: 15.7% Elapsed: 0:48:09 temperature: no ada_p: No Discriminator_loss: 0.00142173 Generator_loss: 8.57403
[INFO] 2020-09-15 14:12:13 > Step: 31400 Progress: 15.7% Elapsed: 0:48:13 temperature: no ada_p: No Discriminator_loss: 0.00115342 Generator_loss: 10.0478
[INFO] 2020-09-15 14:12:17 > Step: 31500 Progress: 15.8% Elapsed: 0:48:18 temperature: no ada_p: No Discriminator_loss: 0.0013554 Generator_loss: 5.35253
[INFO] 2020-09-15 14:12:22 > Step: 31600 Progress: 15.8% Elapsed: 0:48:22 temperature: no ada_p: No Discriminator_loss: 0.185853 Generator_loss: 3.10688
[INFO] 2020-09-15 14:12:27 > Step: 31700 Progress: 15.8% Elapsed: 0:48:28 temperature: no ada_p: No Discriminator_loss: 0.00350908 Generator_loss: 4.85592
[INFO] 2020-09-15 14:12:32 > Step: 31800 Progress: 15.9% Elapsed: 0:48:32 temperature: no ada_p: No Discriminator_loss: 0.00128476 Generator_loss: 5.50805
[INFO] 2020-09-15 14:12:36 > Step: 31900 Progress: 16.0% Elapsed: 0:48:37 temperature: no ada_p: No Discriminator_loss: 0.000817882 Generator_loss: 8.10643
[INFO] 2020-09-15 14:12:41 > Step: 32000 Progress: 16.0% Elapsed: 0:48:41 temperature: no ada_p: No Discriminator_loss: 0.0287739 Generator_loss: 3.67964
[INFO] 2020-09-15 14:12:41 > Start Evaluation (32000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:14:13 > F_8 score (Step: 32000, Using test images): 0.7677782671041796
[INFO] 2020-09-15 14:14:13 > F_1/8 score (Step: 32000, Using test images): 0.8739297227706201
[INFO] 2020-09-15 14:14:13 > FID score (Step: 32000, Using test moments): 53.87379101394339
[INFO] 2020-09-15 14:14:13 > Inception score (Step: 32000, 10000 generated images): 5.941036224365234
[INFO] 2020-09-15 14:14:13 > Best FID score (Step: 26000, Using test moments): 50.6279501750621
[INFO] 2020-09-15 14:14:14 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:14:18 > Step: 32100 Progress: 16.1% Elapsed: 0:50:19 temperature: no ada_p: No Discriminator_loss: 0.00367831 Generator_loss: 8.92174
[INFO] 2020-09-15 14:14:22 > Step: 32200 Progress: 16.1% Elapsed: 0:50:23 temperature: no ada_p: No Discriminator_loss: 0.000418706 Generator_loss: 11.3793
[INFO] 2020-09-15 14:14:27 > Step: 32300 Progress: 16.2% Elapsed: 0:50:27 temperature: no ada_p: No Discriminator_loss: 0.00265191 Generator_loss: 5.4198
[INFO] 2020-09-15 14:14:31 > Step: 32400 Progress: 16.2% Elapsed: 0:50:32 temperature: no ada_p: No Discriminator_loss: 0.000876879 Generator_loss: 4.79754
[INFO] 2020-09-15 14:14:36 > Step: 32500 Progress: 16.2% Elapsed: 0:50:37 temperature: no ada_p: No Discriminator_loss: 0.0012678 Generator_loss: 7.02954
[INFO] 2020-09-15 14:14:40 > Step: 32600 Progress: 16.3% Elapsed: 0:50:41 temperature: no ada_p: No Discriminator_loss: 0.00252278 Generator_loss: 5.32624
[INFO] 2020-09-15 14:14:45 > Step: 32700 Progress: 16.4% Elapsed: 0:50:45 temperature: no ada_p: No Discriminator_loss: 0.143462 Generator_loss: 16.505
[INFO] 2020-09-15 14:14:49 > Step: 32800 Progress: 16.4% Elapsed: 0:50:50 temperature: no ada_p: No Discriminator_loss: 0.026059 Generator_loss: 3.24914
[INFO] 2020-09-15 14:14:55 > Step: 32900 Progress: 16.4% Elapsed: 0:50:55 temperature: no ada_p: No Discriminator_loss: 0.0173613 Generator_loss: 8.07592
[INFO] 2020-09-15 14:14:59 > Step: 33000 Progress: 16.5% Elapsed: 0:51:00 temperature: no ada_p: No Discriminator_loss: 0.000118902 Generator_loss: 11.7225
[INFO] 2020-09-15 14:15:04 > Step: 33100 Progress: 16.6% Elapsed: 0:51:04 temperature: no ada_p: No Discriminator_loss: 0.0840497 Generator_loss: 8.84489
[INFO] 2020-09-15 14:15:09 > Step: 33200 Progress: 16.6% Elapsed: 0:51:09 temperature: no ada_p: No Discriminator_loss: 0.0421808 Generator_loss: 4.78798
[INFO] 2020-09-15 14:15:13 > Step: 33300 Progress: 16.7% Elapsed: 0:51:14 temperature: no ada_p: No Discriminator_loss: 0.000103535 Generator_loss: 10.5629
[INFO] 2020-09-15 14:15:18 > Step: 33400 Progress: 16.7% Elapsed: 0:51:18 temperature: no ada_p: No Discriminator_loss: 0.00104249 Generator_loss: 11.9867
[INFO] 2020-09-15 14:15:22 > Step: 33500 Progress: 16.8% Elapsed: 0:51:23 temperature: no ada_p: No Discriminator_loss: 0.0234244 Generator_loss: 5.32692
[INFO] 2020-09-15 14:15:27 > Step: 33600 Progress: 16.8% Elapsed: 0:51:28 temperature: no ada_p: No Discriminator_loss: 0.21586 Generator_loss: 5.59822
[INFO] 2020-09-15 14:15:32 > Step: 33700 Progress: 16.9% Elapsed: 0:51:32 temperature: no ada_p: No Discriminator_loss: 0.00943469 Generator_loss: 5.43836
[INFO] 2020-09-15 14:15:36 > Step: 33800 Progress: 16.9% Elapsed: 0:51:37 temperature: no ada_p: No Discriminator_loss: 0.0021059 Generator_loss: 6.58239
[INFO] 2020-09-15 14:15:41 > Step: 33900 Progress: 17.0% Elapsed: 0:51:41 temperature: no ada_p: No Discriminator_loss: 0.000561116 Generator_loss: 10.795
[INFO] 2020-09-15 14:15:46 > Step: 34000 Progress: 17.0% Elapsed: 0:51:47 temperature: no ada_p: No Discriminator_loss: 0.00415942 Generator_loss: 14.9447
[INFO] 2020-09-15 14:15:46 > Start Evaluation (34000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:17:21 > F_8 score (Step: 34000, Using test images): 0.7588644971324678
[INFO] 2020-09-15 14:17:21 > F_1/8 score (Step: 34000, Using test images): 0.864156092678125
[INFO] 2020-09-15 14:17:21 > FID score (Step: 34000, Using test moments): 50.08739582234932
[INFO] 2020-09-15 14:17:21 > Inception score (Step: 34000, 10000 generated images): 6.062557220458984
[INFO] 2020-09-15 14:17:21 > Best FID score (Step: 34000, Using test moments): 50.08739582234932
[INFO] 2020-09-15 14:17:21 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:17:25 > Step: 34100 Progress: 17.1% Elapsed: 0:53:26 temperature: no ada_p: No Discriminator_loss: 0.00292802 Generator_loss: 13.493
[INFO] 2020-09-15 14:17:29 > Step: 34200 Progress: 17.1% Elapsed: 0:53:30 temperature: no ada_p: No Discriminator_loss: 0.00475954 Generator_loss: 7.75443
[INFO] 2020-09-15 14:17:33 > Step: 34300 Progress: 17.2% Elapsed: 0:53:34 temperature: no ada_p: No Discriminator_loss: 0.000360476 Generator_loss: 6.3622
[INFO] 2020-09-15 14:17:38 > Step: 34400 Progress: 17.2% Elapsed: 0:53:39 temperature: no ada_p: No Discriminator_loss: 0.00271494 Generator_loss: 7.19211
[INFO] 2020-09-15 14:17:43 > Step: 34500 Progress: 17.2% Elapsed: 0:53:43 temperature: no ada_p: No Discriminator_loss: 5.65078e-05 Generator_loss: 8.19543
[INFO] 2020-09-15 14:17:47 > Step: 34600 Progress: 17.3% Elapsed: 0:53:48 temperature: no ada_p: No Discriminator_loss: 0.0312699 Generator_loss: 4.49697
[INFO] 2020-09-15 14:17:52 > Step: 34700 Progress: 17.3% Elapsed: 0:53:52 temperature: no ada_p: No Discriminator_loss: 0.000407139 Generator_loss: 9.22228
[INFO] 2020-09-15 14:17:57 > Step: 34800 Progress: 17.4% Elapsed: 0:53:57 temperature: no ada_p: No Discriminator_loss: 0.0325981 Generator_loss: 6.4691
[INFO] 2020-09-15 14:18:01 > Step: 34900 Progress: 17.4% Elapsed: 0:54:02 temperature: no ada_p: No Discriminator_loss: 9.94055e-05 Generator_loss: 8.02607
[INFO] 2020-09-15 14:18:06 > Step: 35000 Progress: 17.5% Elapsed: 0:54:06 temperature: no ada_p: No Discriminator_loss: 0.00123058 Generator_loss: 4.99055
[INFO] 2020-09-15 14:18:10 > Step: 35100 Progress: 17.5% Elapsed: 0:54:11 temperature: no ada_p: No Discriminator_loss: 0.000175534 Generator_loss: 9.29334
[INFO] 2020-09-15 14:18:15 > Step: 35200 Progress: 17.6% Elapsed: 0:54:16 temperature: no ada_p: No Discriminator_loss: 0.0023582 Generator_loss: 8.86231
[INFO] 2020-09-15 14:18:20 > Step: 35300 Progress: 17.6% Elapsed: 0:54:20 temperature: no ada_p: No Discriminator_loss: 0.00667916 Generator_loss: 5.31264
[INFO] 2020-09-15 14:18:24 > Step: 35400 Progress: 17.7% Elapsed: 0:54:25 temperature: no ada_p: No Discriminator_loss: 3.10902e-05 Generator_loss: 7.17372
[INFO] 2020-09-15 14:18:29 > Step: 35500 Progress: 17.8% Elapsed: 0:54:29 temperature: no ada_p: No Discriminator_loss: 0.000529414 Generator_loss: 5.18006
[INFO] 2020-09-15 14:18:34 > Step: 35600 Progress: 17.8% Elapsed: 0:54:35 temperature: no ada_p: No Discriminator_loss: 0.00397423 Generator_loss: 5.01554
[INFO] 2020-09-15 14:18:39 > Step: 35700 Progress: 17.8% Elapsed: 0:54:39 temperature: no ada_p: No Discriminator_loss: 0.00704499 Generator_loss: 2.37817
[INFO] 2020-09-15 14:18:43 > Step: 35800 Progress: 17.9% Elapsed: 0:54:44 temperature: no ada_p: No Discriminator_loss: 0.00181578 Generator_loss: 5.43036
[INFO] 2020-09-15 14:18:48 > Step: 35900 Progress: 17.9% Elapsed: 0:54:48 temperature: no ada_p: No Discriminator_loss: 0.00271765 Generator_loss: 5.25083
[INFO] 2020-09-15 14:18:53 > Step: 36000 Progress: 18.0% Elapsed: 0:54:53 temperature: no ada_p: No Discriminator_loss: 0.000283398 Generator_loss: 8.18844
[INFO] 2020-09-15 14:18:53 > Start Evaluation (36000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:20:25 > F_8 score (Step: 36000, Using test images): 0.7964029734839703
[INFO] 2020-09-15 14:20:25 > F_1/8 score (Step: 36000, Using test images): 0.8654694810073464
[INFO] 2020-09-15 14:20:25 > FID score (Step: 36000, Using test moments): 51.47222829644943
[INFO] 2020-09-15 14:20:25 > Inception score (Step: 36000, 10000 generated images): 6.047502040863037
[INFO] 2020-09-15 14:20:25 > Best FID score (Step: 34000, Using test moments): 50.08739582234932
[INFO] 2020-09-15 14:20:26 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:20:30 > Step: 36100 Progress: 18.1% Elapsed: 0:56:30 temperature: no ada_p: No Discriminator_loss: 0.000428096 Generator_loss: 7.58631
[INFO] 2020-09-15 14:20:34 > Step: 36200 Progress: 18.1% Elapsed: 0:56:34 temperature: no ada_p: No Discriminator_loss: 0.012009 Generator_loss: 12.6151
[INFO] 2020-09-15 14:20:38 > Step: 36300 Progress: 18.1% Elapsed: 0:56:39 temperature: no ada_p: No Discriminator_loss: 0.00416405 Generator_loss: 6.01766
[INFO] 2020-09-15 14:20:43 > Step: 36400 Progress: 18.2% Elapsed: 0:56:44 temperature: no ada_p: No Discriminator_loss: 0.0156412 Generator_loss: 10.3422
[INFO] 2020-09-15 14:20:47 > Step: 36500 Progress: 18.2% Elapsed: 0:56:48 temperature: no ada_p: No Discriminator_loss: 0.000357923 Generator_loss: 11.0834
[INFO] 2020-09-15 14:20:52 > Step: 36600 Progress: 18.3% Elapsed: 0:56:52 temperature: no ada_p: No Discriminator_loss: 0.0028422 Generator_loss: 8.29298
[INFO] 2020-09-15 14:20:56 > Step: 36700 Progress: 18.4% Elapsed: 0:56:57 temperature: no ada_p: No Discriminator_loss: 0.184471 Generator_loss: 13.0807
[INFO] 2020-09-15 14:21:01 > Step: 36800 Progress: 18.4% Elapsed: 0:57:02 temperature: no ada_p: No Discriminator_loss: 0.289904 Generator_loss: 13.414
[INFO] 2020-09-15 14:21:06 > Step: 36900 Progress: 18.4% Elapsed: 0:57:06 temperature: no ada_p: No Discriminator_loss: 0.000387333 Generator_loss: 9.47725
[INFO] 2020-09-15 14:21:10 > Step: 37000 Progress: 18.5% Elapsed: 0:57:11 temperature: no ada_p: No Discriminator_loss: 0.00404037 Generator_loss: 3.20294
[INFO] 2020-09-15 14:21:15 > Step: 37100 Progress: 18.6% Elapsed: 0:57:16 temperature: no ada_p: No Discriminator_loss: 0.00125324 Generator_loss: 7.76256
[INFO] 2020-09-15 14:21:20 > Step: 37200 Progress: 18.6% Elapsed: 0:57:20 temperature: no ada_p: No Discriminator_loss: 0.00265034 Generator_loss: 8.53359
[INFO] 2020-09-15 14:21:24 > Step: 37300 Progress: 18.6% Elapsed: 0:57:25 temperature: no ada_p: No Discriminator_loss: 0.00121547 Generator_loss: 5.59038
[INFO] 2020-09-15 14:21:29 > Step: 37400 Progress: 18.7% Elapsed: 0:57:29 temperature: no ada_p: No Discriminator_loss: 0.0215328 Generator_loss: 7.13464
[INFO] 2020-09-15 14:21:34 > Step: 37500 Progress: 18.8% Elapsed: 0:57:35 temperature: no ada_p: No Discriminator_loss: 0.0174639 Generator_loss: 4.3796
[INFO] 2020-09-15 14:21:39 > Step: 37600 Progress: 18.8% Elapsed: 0:57:39 temperature: no ada_p: No Discriminator_loss: 0.00338903 Generator_loss: 6.18073
[INFO] 2020-09-15 14:21:43 > Step: 37700 Progress: 18.9% Elapsed: 0:57:44 temperature: no ada_p: No Discriminator_loss: 0.00137476 Generator_loss: 4.86233
[INFO] 2020-09-15 14:21:48 > Step: 37800 Progress: 18.9% Elapsed: 0:57:48 temperature: no ada_p: No Discriminator_loss: 0.000297231 Generator_loss: 6.89375
[INFO] 2020-09-15 14:21:53 > Step: 37900 Progress: 18.9% Elapsed: 0:57:53 temperature: no ada_p: No Discriminator_loss: 0.000604119 Generator_loss: 4.81522
[INFO] 2020-09-15 14:21:57 > Step: 38000 Progress: 19.0% Elapsed: 0:57:58 temperature: no ada_p: No Discriminator_loss: 0.0414435 Generator_loss: 3.99219
[INFO] 2020-09-15 14:21:57 > Start Evaluation (38000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:23:30 > F_8 score (Step: 38000, Using test images): 0.7850690570438738
[INFO] 2020-09-15 14:23:30 > F_1/8 score (Step: 38000, Using test images): 0.8265707488725865
[INFO] 2020-09-15 14:23:30 > FID score (Step: 38000, Using test moments): 54.41602440659875
[INFO] 2020-09-15 14:23:30 > Inception score (Step: 38000, 10000 generated images): 6.0290069580078125
[INFO] 2020-09-15 14:23:30 > Best FID score (Step: 34000, Using test moments): 50.08739582234932
[INFO] 2020-09-15 14:23:30 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:23:34 > Step: 38100 Progress: 19.1% Elapsed: 0:59:35 temperature: no ada_p: No Discriminator_loss: 0.00797862 Generator_loss: 10.2452
[INFO] 2020-09-15 14:23:39 > Step: 38200 Progress: 19.1% Elapsed: 0:59:39 temperature: no ada_p: No Discriminator_loss: 0.00155255 Generator_loss: 8.96004
[INFO] 2020-09-15 14:23:43 > Step: 38300 Progress: 19.1% Elapsed: 0:59:44 temperature: no ada_p: No Discriminator_loss: 0.000584516 Generator_loss: 7.71947
[INFO] 2020-09-15 14:23:48 > Step: 38400 Progress: 19.2% Elapsed: 0:59:48 temperature: no ada_p: No Discriminator_loss: 0.00177733 Generator_loss: 9.73739
[INFO] 2020-09-15 14:23:52 > Step: 38500 Progress: 19.2% Elapsed: 0:59:53 temperature: no ada_p: No Discriminator_loss: 0.000673095 Generator_loss: 6.72614
[INFO] 2020-09-15 14:23:56 > Step: 38600 Progress: 19.3% Elapsed: 0:59:57 temperature: no ada_p: No Discriminator_loss: 0.00546085 Generator_loss: 4.2731
[INFO] 2020-09-15 14:24:02 > Step: 38700 Progress: 19.4% Elapsed: 1:00:02 temperature: no ada_p: No Discriminator_loss: 0.000145411 Generator_loss: 7.31812
[INFO] 2020-09-15 14:24:06 > Step: 38800 Progress: 19.4% Elapsed: 1:00:07 temperature: no ada_p: No Discriminator_loss: 0.000525869 Generator_loss: 5.3492
[INFO] 2020-09-15 14:24:10 > Step: 38900 Progress: 19.4% Elapsed: 1:00:11 temperature: no ada_p: No Discriminator_loss: 2.42374 Generator_loss: 8.2772
[INFO] 2020-09-15 14:24:15 > Step: 39000 Progress: 19.5% Elapsed: 1:00:16 temperature: no ada_p: No Discriminator_loss: 0.0826367 Generator_loss: 3.49974
[INFO] 2020-09-15 14:24:20 > Step: 39100 Progress: 19.6% Elapsed: 1:00:21 temperature: no ada_p: No Discriminator_loss: 0.0069043 Generator_loss: 6.97454
[INFO] 2020-09-15 14:24:25 > Step: 39200 Progress: 19.6% Elapsed: 1:00:25 temperature: no ada_p: No Discriminator_loss: 0.0262302 Generator_loss: 8.86708
[INFO] 2020-09-15 14:24:29 > Step: 39300 Progress: 19.7% Elapsed: 1:00:30 temperature: no ada_p: No Discriminator_loss: 8.30236e-05 Generator_loss: 7.65146
[INFO] 2020-09-15 14:24:34 > Step: 39400 Progress: 19.7% Elapsed: 1:00:34 temperature: no ada_p: No Discriminator_loss: 0.0162513 Generator_loss: 7.5975
[INFO] 2020-09-15 14:24:39 > Step: 39500 Progress: 19.8% Elapsed: 1:00:39 temperature: no ada_p: No Discriminator_loss: 0.000144112 Generator_loss: 10.6802
[INFO] 2020-09-15 14:24:44 > Step: 39600 Progress: 19.8% Elapsed: 1:00:44 temperature: no ada_p: No Discriminator_loss: 3.13191e-05 Generator_loss: 3.65569
[INFO] 2020-09-15 14:24:48 > Step: 39700 Progress: 19.9% Elapsed: 1:00:49 temperature: no ada_p: No Discriminator_loss: 0.00321675 Generator_loss: 4.83009
[INFO] 2020-09-15 14:24:53 > Step: 39800 Progress: 19.9% Elapsed: 1:00:53 temperature: no ada_p: No Discriminator_loss: 0.086299 Generator_loss: 11.9221
[INFO] 2020-09-15 14:24:58 > Step: 39900 Progress: 20.0% Elapsed: 1:00:58 temperature: no ada_p: No Discriminator_loss: 6.92826e-05 Generator_loss: 9.02446
[INFO] 2020-09-15 14:25:02 > Step: 40000 Progress: 20.0% Elapsed: 1:01:03 temperature: no ada_p: No Discriminator_loss: 0.00706499 Generator_loss: 6.58025
[INFO] 2020-09-15 14:25:02 > Start Evaluation (40000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:26:34 > F_8 score (Step: 40000, Using test images): 0.7659969361642378
[INFO] 2020-09-15 14:26:34 > F_1/8 score (Step: 40000, Using test images): 0.8225266785451221
[INFO] 2020-09-15 14:26:34 > FID score (Step: 40000, Using test moments): 55.71758918283331
[INFO] 2020-09-15 14:26:34 > Inception score (Step: 40000, 10000 generated images): 5.582120418548584
[INFO] 2020-09-15 14:26:34 > Best FID score (Step: 34000, Using test moments): 50.08739582234932
[INFO] 2020-09-15 14:26:35 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:26:39 > Step: 40100 Progress: 20.1% Elapsed: 1:02:39 temperature: no ada_p: No Discriminator_loss: 0.00139102 Generator_loss: 9.0353
[INFO] 2020-09-15 14:26:43 > Step: 40200 Progress: 20.1% Elapsed: 1:02:43 temperature: no ada_p: No Discriminator_loss: 0.0218568 Generator_loss: 8.5049
[INFO] 2020-09-15 14:26:48 > Step: 40300 Progress: 20.2% Elapsed: 1:02:48 temperature: no ada_p: No Discriminator_loss: 0.985205 Generator_loss: 12.6812
[INFO] 2020-09-15 14:26:52 > Step: 40400 Progress: 20.2% Elapsed: 1:02:53 temperature: no ada_p: No Discriminator_loss: 0.000334583 Generator_loss: 6.5801
[INFO] 2020-09-15 14:26:56 > Step: 40500 Progress: 20.2% Elapsed: 1:02:57 temperature: no ada_p: No Discriminator_loss: 0.000263141 Generator_loss: 4.56703
[INFO] 2020-09-15 14:27:01 > Step: 40600 Progress: 20.3% Elapsed: 1:03:01 temperature: no ada_p: No Discriminator_loss: 0.000111136 Generator_loss: 10.7979
[INFO] 2020-09-15 14:27:06 > Step: 40700 Progress: 20.3% Elapsed: 1:03:06 temperature: no ada_p: No Discriminator_loss: 6.88921e-05 Generator_loss: 4.88237
[INFO] 2020-09-15 14:27:10 > Step: 40800 Progress: 20.4% Elapsed: 1:03:11 temperature: no ada_p: No Discriminator_loss: 0.00010347 Generator_loss: 6.13762
[INFO] 2020-09-15 14:27:15 > Step: 40900 Progress: 20.4% Elapsed: 1:03:15 temperature: no ada_p: No Discriminator_loss: 0.000378318 Generator_loss: 6.13561
[INFO] 2020-09-15 14:27:19 > Step: 41000 Progress: 20.5% Elapsed: 1:03:20 temperature: no ada_p: No Discriminator_loss: 0.00248727 Generator_loss: 6.21248
[INFO] 2020-09-15 14:27:25 > Step: 41100 Progress: 20.5% Elapsed: 1:03:25 temperature: no ada_p: No Discriminator_loss: 0.0434113 Generator_loss: 13.823
[INFO] 2020-09-15 14:27:29 > Step: 41200 Progress: 20.6% Elapsed: 1:03:30 temperature: no ada_p: No Discriminator_loss: 0.31412 Generator_loss: 11.7978
[INFO] 2020-09-15 14:27:34 > Step: 41300 Progress: 20.6% Elapsed: 1:03:34 temperature: no ada_p: No Discriminator_loss: 0.000474143 Generator_loss: 5.12963
[INFO] 2020-09-15 14:27:39 > Step: 41400 Progress: 20.7% Elapsed: 1:03:39 temperature: no ada_p: No Discriminator_loss: 0.000549923 Generator_loss: 4.23458
[INFO] 2020-09-15 14:27:43 > Step: 41500 Progress: 20.8% Elapsed: 1:03:44 temperature: no ada_p: No Discriminator_loss: 0.00238883 Generator_loss: 4.59461
[INFO] 2020-09-15 14:27:48 > Step: 41600 Progress: 20.8% Elapsed: 1:03:48 temperature: no ada_p: No Discriminator_loss: 0.0234594 Generator_loss: 20.0192
[INFO] 2020-09-15 14:27:52 > Step: 41700 Progress: 20.8% Elapsed: 1:03:53 temperature: no ada_p: No Discriminator_loss: 0.000216699 Generator_loss: 14.6577
[INFO] 2020-09-15 14:27:57 > Step: 41800 Progress: 20.9% Elapsed: 1:03:58 temperature: no ada_p: No Discriminator_loss: 0.00407817 Generator_loss: 5.68313
[INFO] 2020-09-15 14:28:02 > Step: 41900 Progress: 20.9% Elapsed: 1:04:02 temperature: no ada_p: No Discriminator_loss: 0.0030083 Generator_loss: 7.46019
[INFO] 2020-09-15 14:28:06 > Step: 42000 Progress: 21.0% Elapsed: 1:04:07 temperature: no ada_p: No Discriminator_loss: 0.000755937 Generator_loss: 5.94032
[INFO] 2020-09-15 14:28:06 > Start Evaluation (42000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:29:39 > F_8 score (Step: 42000, Using test images): 0.7946255977011185
[INFO] 2020-09-15 14:29:39 > F_1/8 score (Step: 42000, Using test images): 0.833176681063693
[INFO] 2020-09-15 14:29:39 > FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:29:39 > Inception score (Step: 42000, 10000 generated images): 6.6375813484191895
[INFO] 2020-09-15 14:29:39 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:29:40 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:29:44 > Step: 42100 Progress: 21.1% Elapsed: 1:05:44 temperature: no ada_p: No Discriminator_loss: 0.00625402 Generator_loss: 5.99298
[INFO] 2020-09-15 14:29:49 > Step: 42200 Progress: 21.1% Elapsed: 1:05:49 temperature: no ada_p: No Discriminator_loss: 0.0125334 Generator_loss: 3.81272
[INFO] 2020-09-15 14:29:53 > Step: 42300 Progress: 21.1% Elapsed: 1:05:53 temperature: no ada_p: No Discriminator_loss: 0.205179 Generator_loss: 6.57335
[INFO] 2020-09-15 14:29:57 > Step: 42400 Progress: 21.2% Elapsed: 1:05:58 temperature: no ada_p: No Discriminator_loss: 0.000880747 Generator_loss: 7.18036
[INFO] 2020-09-15 14:30:02 > Step: 42500 Progress: 21.2% Elapsed: 1:06:02 temperature: no ada_p: No Discriminator_loss: 0.00834807 Generator_loss: 4.16397
[INFO] 2020-09-15 14:30:07 > Step: 42600 Progress: 21.3% Elapsed: 1:06:07 temperature: no ada_p: No Discriminator_loss: 0.00180229 Generator_loss: 8.48931
[INFO] 2020-09-15 14:30:11 > Step: 42700 Progress: 21.3% Elapsed: 1:06:12 temperature: no ada_p: No Discriminator_loss: 0.000552713 Generator_loss: 4.79605
[INFO] 2020-09-15 14:30:16 > Step: 42800 Progress: 21.4% Elapsed: 1:06:16 temperature: no ada_p: No Discriminator_loss: 0.00935217 Generator_loss: 19.5935
[INFO] 2020-09-15 14:30:20 > Step: 42900 Progress: 21.4% Elapsed: 1:06:21 temperature: no ada_p: No Discriminator_loss: 0.014249 Generator_loss: 6.12038
[INFO] 2020-09-15 14:30:25 > Step: 43000 Progress: 21.5% Elapsed: 1:06:26 temperature: no ada_p: No Discriminator_loss: 0.00148266 Generator_loss: 10.3601
[INFO] 2020-09-15 14:30:30 > Step: 43100 Progress: 21.6% Elapsed: 1:06:30 temperature: no ada_p: No Discriminator_loss: 0.0509435 Generator_loss: 8.66348
[INFO] 2020-09-15 14:30:34 > Step: 43200 Progress: 21.6% Elapsed: 1:06:35 temperature: no ada_p: No Discriminator_loss: 0.0205239 Generator_loss: 7.19328
[INFO] 2020-09-15 14:30:39 > Step: 43300 Progress: 21.6% Elapsed: 1:06:39 temperature: no ada_p: No Discriminator_loss: 0.013575 Generator_loss: 7.10751
[INFO] 2020-09-15 14:30:44 > Step: 43400 Progress: 21.7% Elapsed: 1:06:45 temperature: no ada_p: No Discriminator_loss: 6.85492e-05 Generator_loss: 15.1272
[INFO] 2020-09-15 14:30:49 > Step: 43500 Progress: 21.8% Elapsed: 1:06:49 temperature: no ada_p: No Discriminator_loss: 0.00297676 Generator_loss: 11.1806
[INFO] 2020-09-15 14:30:53 > Step: 43600 Progress: 21.8% Elapsed: 1:06:54 temperature: no ada_p: No Discriminator_loss: 0.00552012 Generator_loss: 8.74763
[INFO] 2020-09-15 14:30:58 > Step: 43700 Progress: 21.9% Elapsed: 1:06:58 temperature: no ada_p: No Discriminator_loss: 0.00102607 Generator_loss: 11.8002
[INFO] 2020-09-15 14:31:03 > Step: 43800 Progress: 21.9% Elapsed: 1:07:03 temperature: no ada_p: No Discriminator_loss: 0.000239645 Generator_loss: 12.5771
[INFO] 2020-09-15 14:31:07 > Step: 43900 Progress: 21.9% Elapsed: 1:07:08 temperature: no ada_p: No Discriminator_loss: 7.72609e-05 Generator_loss: 6.41838
[INFO] 2020-09-15 14:31:12 > Step: 44000 Progress: 22.0% Elapsed: 1:07:12 temperature: no ada_p: No Discriminator_loss: 0.0134887 Generator_loss: 3.41953
[INFO] 2020-09-15 14:31:12 > Start Evaluation (44000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:32:45 > F_8 score (Step: 44000, Using test images): 0.7124100406287219
[INFO] 2020-09-15 14:32:45 > F_1/8 score (Step: 44000, Using test images): 0.8214931071950702
[INFO] 2020-09-15 14:32:45 > FID score (Step: 44000, Using test moments): 61.55992521194304
[INFO] 2020-09-15 14:32:45 > Inception score (Step: 44000, 10000 generated images): 5.3664655685424805
[INFO] 2020-09-15 14:32:45 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:32:46 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:32:50 > Step: 44100 Progress: 22.1% Elapsed: 1:08:50 temperature: no ada_p: No Discriminator_loss: 0.769872 Generator_loss: 10.6654
[INFO] 2020-09-15 14:32:55 > Step: 44200 Progress: 22.1% Elapsed: 1:08:55 temperature: no ada_p: No Discriminator_loss: 0.000196795 Generator_loss: 4.33159
[INFO] 2020-09-15 14:32:59 > Step: 44300 Progress: 22.1% Elapsed: 1:08:59 temperature: no ada_p: No Discriminator_loss: 0.00023814 Generator_loss: 3.63662
[INFO] 2020-09-15 14:33:03 > Step: 44400 Progress: 22.2% Elapsed: 1:09:04 temperature: no ada_p: No Discriminator_loss: 0.00143022 Generator_loss: 8.16623
[INFO] 2020-09-15 14:33:08 > Step: 44500 Progress: 22.2% Elapsed: 1:09:08 temperature: no ada_p: No Discriminator_loss: 5.43624e-05 Generator_loss: 10.3143
[INFO] 2020-09-15 14:33:13 > Step: 44600 Progress: 22.3% Elapsed: 1:09:13 temperature: no ada_p: No Discriminator_loss: 0.000192218 Generator_loss: 5.53609
[INFO] 2020-09-15 14:33:17 > Step: 44700 Progress: 22.4% Elapsed: 1:09:18 temperature: no ada_p: No Discriminator_loss: 0.00919052 Generator_loss: 7.254
[INFO] 2020-09-15 14:33:22 > Step: 44800 Progress: 22.4% Elapsed: 1:09:22 temperature: no ada_p: No Discriminator_loss: 0.00552463 Generator_loss: 9.66582
[INFO] 2020-09-15 14:33:26 > Step: 44900 Progress: 22.4% Elapsed: 1:09:27 temperature: no ada_p: No Discriminator_loss: 0.00342026 Generator_loss: 13.0218
[INFO] 2020-09-15 14:33:31 > Step: 45000 Progress: 22.5% Elapsed: 1:09:32 temperature: no ada_p: No Discriminator_loss: 0.0854109 Generator_loss: 11.0203
[INFO] 2020-09-15 14:33:36 > Step: 45100 Progress: 22.6% Elapsed: 1:09:36 temperature: no ada_p: No Discriminator_loss: 0.00116508 Generator_loss: 10.3729
[INFO] 2020-09-15 14:33:40 > Step: 45200 Progress: 22.6% Elapsed: 1:09:41 temperature: no ada_p: No Discriminator_loss: 5.91251e-05 Generator_loss: 6.29611
[INFO] 2020-09-15 14:33:45 > Step: 45300 Progress: 22.7% Elapsed: 1:09:46 temperature: no ada_p: No Discriminator_loss: 8.84957e-05 Generator_loss: 2.90037
[INFO] 2020-09-15 14:33:50 > Step: 45400 Progress: 22.7% Elapsed: 1:09:51 temperature: no ada_p: No Discriminator_loss: 0.0452436 Generator_loss: 4.00011
[INFO] 2020-09-15 14:33:54 > Step: 45500 Progress: 22.8% Elapsed: 1:09:55 temperature: no ada_p: No Discriminator_loss: 0.00282433 Generator_loss: 8.59044
[INFO] 2020-09-15 14:33:59 > Step: 45600 Progress: 22.8% Elapsed: 1:10:00 temperature: no ada_p: No Discriminator_loss: 0.000111969 Generator_loss: 11.1466
[INFO] 2020-09-15 14:34:04 > Step: 45700 Progress: 22.9% Elapsed: 1:10:05 temperature: no ada_p: No Discriminator_loss: 0.00153333 Generator_loss: 3.69129
[INFO] 2020-09-15 14:34:09 > Step: 45800 Progress: 22.9% Elapsed: 1:10:09 temperature: no ada_p: No Discriminator_loss: 0.00120218 Generator_loss: 11.6508
[INFO] 2020-09-15 14:34:13 > Step: 45900 Progress: 22.9% Elapsed: 1:10:14 temperature: no ada_p: No Discriminator_loss: 0.00294307 Generator_loss: 7.49192
[INFO] 2020-09-15 14:34:18 > Step: 46000 Progress: 23.0% Elapsed: 1:10:18 temperature: no ada_p: No Discriminator_loss: 0.0355983 Generator_loss: 7.44493
[INFO] 2020-09-15 14:34:18 > Start Evaluation (46000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:35:51 > F_8 score (Step: 46000, Using test images): 0.5230079991161485
[INFO] 2020-09-15 14:35:51 > F_1/8 score (Step: 46000, Using test images): 0.5830748933895652
[INFO] 2020-09-15 14:35:51 > FID score (Step: 46000, Using test moments): 90.17193818458804
[INFO] 2020-09-15 14:35:51 > Inception score (Step: 46000, 10000 generated images): 5.512253284454346
[INFO] 2020-09-15 14:35:51 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:35:51 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:35:56 > Step: 46100 Progress: 23.1% Elapsed: 1:11:57 temperature: no ada_p: No Discriminator_loss: 0.012194 Generator_loss: 7.89083
[INFO] 2020-09-15 14:36:00 > Step: 46200 Progress: 23.1% Elapsed: 1:12:01 temperature: no ada_p: No Discriminator_loss: 0.000385098 Generator_loss: 6.25039
[INFO] 2020-09-15 14:36:04 > Step: 46300 Progress: 23.2% Elapsed: 1:12:05 temperature: no ada_p: No Discriminator_loss: 1.37049e-05 Generator_loss: 13.679
[INFO] 2020-09-15 14:36:09 > Step: 46400 Progress: 23.2% Elapsed: 1:12:09 temperature: no ada_p: No Discriminator_loss: 0.000559293 Generator_loss: 4.3485
[INFO] 2020-09-15 14:36:14 > Step: 46500 Progress: 23.2% Elapsed: 1:12:14 temperature: no ada_p: No Discriminator_loss: 0.00343048 Generator_loss: 5.18659
[INFO] 2020-09-15 14:36:18 > Step: 46600 Progress: 23.3% Elapsed: 1:12:19 temperature: no ada_p: No Discriminator_loss: 0.00335013 Generator_loss: 6.83246
[INFO] 2020-09-15 14:36:23 > Step: 46700 Progress: 23.4% Elapsed: 1:12:23 temperature: no ada_p: No Discriminator_loss: 0.00031105 Generator_loss: 6.48999
[INFO] 2020-09-15 14:36:27 > Step: 46800 Progress: 23.4% Elapsed: 1:12:28 temperature: no ada_p: No Discriminator_loss: 0.000809851 Generator_loss: 6.72681
[INFO] 2020-09-15 14:36:32 > Step: 46900 Progress: 23.4% Elapsed: 1:12:33 temperature: no ada_p: No Discriminator_loss: 0.000640785 Generator_loss: 6.79634
[INFO] 2020-09-15 14:36:37 > Step: 47000 Progress: 23.5% Elapsed: 1:12:37 temperature: no ada_p: No Discriminator_loss: 0.000168494 Generator_loss: 9.8369
[INFO] 2020-09-15 14:36:41 > Step: 47100 Progress: 23.5% Elapsed: 1:12:42 temperature: no ada_p: No Discriminator_loss: 0.00710977 Generator_loss: 2.00729
[INFO] 2020-09-15 14:36:46 > Step: 47200 Progress: 23.6% Elapsed: 1:12:46 temperature: no ada_p: No Discriminator_loss: 1.74433e-05 Generator_loss: 8.06181
[INFO] 2020-09-15 14:36:51 > Step: 47300 Progress: 23.6% Elapsed: 1:12:52 temperature: no ada_p: No Discriminator_loss: 0.000529777 Generator_loss: 2.90733
[INFO] 2020-09-15 14:36:56 > Step: 47400 Progress: 23.7% Elapsed: 1:12:56 temperature: no ada_p: No Discriminator_loss: 0.00613714 Generator_loss: 9.47055
[INFO] 2020-09-15 14:37:00 > Step: 47500 Progress: 23.8% Elapsed: 1:13:01 temperature: no ada_p: No Discriminator_loss: 0.00195087 Generator_loss: 11.7106
[INFO] 2020-09-15 14:37:05 > Step: 47600 Progress: 23.8% Elapsed: 1:13:05 temperature: no ada_p: No Discriminator_loss: 0.00419059 Generator_loss: 8.58154
[INFO] 2020-09-15 14:37:10 > Step: 47700 Progress: 23.8% Elapsed: 1:13:11 temperature: no ada_p: No Discriminator_loss: 5.0033e-05 Generator_loss: 9.42299
[INFO] 2020-09-15 14:37:15 > Step: 47800 Progress: 23.9% Elapsed: 1:13:15 temperature: no ada_p: No Discriminator_loss: 5.8656e-05 Generator_loss: 8.33859
[INFO] 2020-09-15 14:37:19 > Step: 47900 Progress: 23.9% Elapsed: 1:13:20 temperature: no ada_p: No Discriminator_loss: 0.263606 Generator_loss: 4.32851
[INFO] 2020-09-15 14:37:24 > Step: 48000 Progress: 24.0% Elapsed: 1:13:24 temperature: no ada_p: No Discriminator_loss: 0.00366041 Generator_loss: 9.26245
[INFO] 2020-09-15 14:37:24 > Start Evaluation (48000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:38:56 > F_8 score (Step: 48000, Using test images): 0.5689964368799855
[INFO] 2020-09-15 14:38:56 > F_1/8 score (Step: 48000, Using test images): 0.7102424985755322
[INFO] 2020-09-15 14:38:56 > FID score (Step: 48000, Using test moments): 73.58043108750354
[INFO] 2020-09-15 14:38:56 > Inception score (Step: 48000, 10000 generated images): 5.297037124633789
[INFO] 2020-09-15 14:38:56 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:38:56 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:39:01 > Step: 48100 Progress: 24.1% Elapsed: 1:15:02 temperature: no ada_p: No Discriminator_loss: 1.13916e-05 Generator_loss: 12.4556
[INFO] 2020-09-15 14:39:05 > Step: 48200 Progress: 24.1% Elapsed: 1:15:06 temperature: no ada_p: No Discriminator_loss: 0.00455547 Generator_loss: 1.67999
[INFO] 2020-09-15 14:39:10 > Step: 48300 Progress: 24.1% Elapsed: 1:15:10 temperature: no ada_p: No Discriminator_loss: 0.0422523 Generator_loss: 6.33685
[INFO] 2020-09-15 14:39:14 > Step: 48400 Progress: 24.2% Elapsed: 1:15:15 temperature: no ada_p: No Discriminator_loss: 0.0792506 Generator_loss: 3.07269
[INFO] 2020-09-15 14:39:19 > Step: 48500 Progress: 24.2% Elapsed: 1:15:20 temperature: no ada_p: No Discriminator_loss: 0.000755353 Generator_loss: 8.37028
[INFO] 2020-09-15 14:39:24 > Step: 48600 Progress: 24.3% Elapsed: 1:15:24 temperature: no ada_p: No Discriminator_loss: 0.0814334 Generator_loss: 7.56554
[INFO] 2020-09-15 14:39:28 > Step: 48700 Progress: 24.3% Elapsed: 1:15:28 temperature: no ada_p: No Discriminator_loss: 0.000874967 Generator_loss: 6.5088
[INFO] 2020-09-15 14:39:32 > Step: 48800 Progress: 24.4% Elapsed: 1:15:33 temperature: no ada_p: No Discriminator_loss: 0.0330097 Generator_loss: 6.65086
[INFO] 2020-09-15 14:39:38 > Step: 48900 Progress: 24.4% Elapsed: 1:15:38 temperature: no ada_p: No Discriminator_loss: 0.00194218 Generator_loss: 9.60366
[INFO] 2020-09-15 14:39:42 > Step: 49000 Progress: 24.5% Elapsed: 1:15:43 temperature: no ada_p: No Discriminator_loss: 0.0152812 Generator_loss: 6.30562
[INFO] 2020-09-15 14:39:46 > Step: 49100 Progress: 24.6% Elapsed: 1:15:47 temperature: no ada_p: No Discriminator_loss: 0.00233349 Generator_loss: 5.31624
[INFO] 2020-09-15 14:39:51 > Step: 49200 Progress: 24.6% Elapsed: 1:15:52 temperature: no ada_p: No Discriminator_loss: 0.00201871 Generator_loss: 7.72515
[INFO] 2020-09-15 14:39:56 > Step: 49300 Progress: 24.6% Elapsed: 1:15:57 temperature: no ada_p: No Discriminator_loss: 0.01186 Generator_loss: 4.73529
[INFO] 2020-09-15 14:40:01 > Step: 49400 Progress: 24.7% Elapsed: 1:16:01 temperature: no ada_p: No Discriminator_loss: 2.10102e-05 Generator_loss: 9.6943
[INFO] 2020-09-15 14:40:05 > Step: 49500 Progress: 24.8% Elapsed: 1:16:06 temperature: no ada_p: No Discriminator_loss: 0.112692 Generator_loss: 10.319
[INFO] 2020-09-15 14:40:10 > Step: 49600 Progress: 24.8% Elapsed: 1:16:11 temperature: no ada_p: No Discriminator_loss: 2.53552e-05 Generator_loss: 11.4916
[INFO] 2020-09-15 14:40:15 > Step: 49700 Progress: 24.9% Elapsed: 1:16:15 temperature: no ada_p: No Discriminator_loss: 0.00237018 Generator_loss: 9.12109
[INFO] 2020-09-15 14:40:19 > Step: 49800 Progress: 24.9% Elapsed: 1:16:20 temperature: no ada_p: No Discriminator_loss: 0.000176473 Generator_loss: 6.37913
[INFO] 2020-09-15 14:40:24 > Step: 49900 Progress: 24.9% Elapsed: 1:16:24 temperature: no ada_p: No Discriminator_loss: 0.0382142 Generator_loss: 1.59118
[INFO] 2020-09-15 14:40:29 > Step: 50000 Progress: 25.0% Elapsed: 1:16:29 temperature: no ada_p: No Discriminator_loss: 0.000225814 Generator_loss: 8.99861
[INFO] 2020-09-15 14:40:29 > Start Evaluation (50000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:42:00 > F_8 score (Step: 50000, Using test images): 0.5606992267586759
[INFO] 2020-09-15 14:42:00 > F_1/8 score (Step: 50000, Using test images): 0.6476537684983714
[INFO] 2020-09-15 14:42:00 > FID score (Step: 50000, Using test moments): 85.87265414503355
[INFO] 2020-09-15 14:42:00 > Inception score (Step: 50000, 10000 generated images): 5.466556072235107
[INFO] 2020-09-15 14:42:00 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:42:00 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:42:04 > Step: 50100 Progress: 25.1% Elapsed: 1:18:05 temperature: no ada_p: No Discriminator_loss: 0.0133211 Generator_loss: 2.00935
[INFO] 2020-09-15 14:42:09 > Step: 50200 Progress: 25.1% Elapsed: 1:18:09 temperature: no ada_p: No Discriminator_loss: 0.0468178 Generator_loss: 6.46871
[INFO] 2020-09-15 14:42:13 > Step: 50300 Progress: 25.1% Elapsed: 1:18:13 temperature: no ada_p: No Discriminator_loss: 0.0289265 Generator_loss: 6.95
[INFO] 2020-09-15 14:42:18 > Step: 50400 Progress: 25.2% Elapsed: 1:18:18 temperature: no ada_p: No Discriminator_loss: 0.00692027 Generator_loss: 6.05226
[INFO] 2020-09-15 14:42:22 > Step: 50500 Progress: 25.2% Elapsed: 1:18:23 temperature: no ada_p: No Discriminator_loss: 0.000888194 Generator_loss: 7.85132
[INFO] 2020-09-15 14:42:27 > Step: 50600 Progress: 25.3% Elapsed: 1:18:27 temperature: no ada_p: No Discriminator_loss: 0.00317557 Generator_loss: 5.44102
[INFO] 2020-09-15 14:42:31 > Step: 50700 Progress: 25.4% Elapsed: 1:18:32 temperature: no ada_p: No Discriminator_loss: 0.0927108 Generator_loss: 3.89485
[INFO] 2020-09-15 14:42:36 > Step: 50800 Progress: 25.4% Elapsed: 1:18:37 temperature: no ada_p: No Discriminator_loss: 0.00369709 Generator_loss: 6.00122
[INFO] 2020-09-15 14:42:41 > Step: 50900 Progress: 25.4% Elapsed: 1:18:41 temperature: no ada_p: No Discriminator_loss: 0.0157444 Generator_loss: 6.5869
[INFO] 2020-09-15 14:42:45 > Step: 51000 Progress: 25.5% Elapsed: 1:18:46 temperature: no ada_p: No Discriminator_loss: 0.00149136 Generator_loss: 13.0849
[INFO] 2020-09-15 14:42:50 > Step: 51100 Progress: 25.6% Elapsed: 1:18:50 temperature: no ada_p: No Discriminator_loss: 0.000249434 Generator_loss: 9.00308
[INFO] 2020-09-15 14:42:55 > Step: 51200 Progress: 25.6% Elapsed: 1:18:55 temperature: no ada_p: No Discriminator_loss: 8.53894e-05 Generator_loss: 12.4409
[INFO] 2020-09-15 14:42:59 > Step: 51300 Progress: 25.7% Elapsed: 1:19:00 temperature: no ada_p: No Discriminator_loss: 0.00920766 Generator_loss: 8.27772
[INFO] 2020-09-15 14:43:04 > Step: 51400 Progress: 25.7% Elapsed: 1:19:04 temperature: no ada_p: No Discriminator_loss: 0.00010904 Generator_loss: 13.5268
[INFO] 2020-09-15 14:43:08 > Step: 51500 Progress: 25.8% Elapsed: 1:19:09 temperature: no ada_p: No Discriminator_loss: 0.000599039 Generator_loss: 24.951
[INFO] 2020-09-15 14:43:14 > Step: 51600 Progress: 25.8% Elapsed: 1:19:14 temperature: no ada_p: No Discriminator_loss: 0.000880186 Generator_loss: 3.98925
[INFO] 2020-09-15 14:43:18 > Step: 51700 Progress: 25.9% Elapsed: 1:19:19 temperature: no ada_p: No Discriminator_loss: 0.276326 Generator_loss: 5.37215
[INFO] 2020-09-15 14:43:23 > Step: 51800 Progress: 25.9% Elapsed: 1:19:24 temperature: no ada_p: No Discriminator_loss: 0.000744668 Generator_loss: 7.84559
[INFO] 2020-09-15 14:43:27 > Step: 51900 Progress: 25.9% Elapsed: 1:19:28 temperature: no ada_p: No Discriminator_loss: 0.00134686 Generator_loss: 5.51674
[INFO] 2020-09-15 14:43:33 > Step: 52000 Progress: 26.0% Elapsed: 1:19:33 temperature: no ada_p: No Discriminator_loss: 0.158714 Generator_loss: 3.01827
[INFO] 2020-09-15 14:43:33 > Start Evaluation (52000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:45:04 > F_8 score (Step: 52000, Using test images): 0.5604439075793027
[INFO] 2020-09-15 14:45:04 > F_1/8 score (Step: 52000, Using test images): 0.7386303445595797
[INFO] 2020-09-15 14:45:04 > FID score (Step: 52000, Using test moments): 74.67993728729078
[INFO] 2020-09-15 14:45:04 > Inception score (Step: 52000, 10000 generated images): 5.127684116363525
[INFO] 2020-09-15 14:45:04 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:45:04 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:45:08 > Step: 52100 Progress: 26.1% Elapsed: 1:21:09 temperature: no ada_p: No Discriminator_loss: 0.00039888 Generator_loss: 17.1601
[INFO] 2020-09-15 14:45:13 > Step: 52200 Progress: 26.1% Elapsed: 1:21:13 temperature: no ada_p: No Discriminator_loss: 0.152531 Generator_loss: 6.06165
[INFO] 2020-09-15 14:45:17 > Step: 52300 Progress: 26.2% Elapsed: 1:21:18 temperature: no ada_p: No Discriminator_loss: 0.000122828 Generator_loss: 5.57372
[INFO] 2020-09-15 14:45:22 > Step: 52400 Progress: 26.2% Elapsed: 1:21:23 temperature: no ada_p: No Discriminator_loss: 0.0203505 Generator_loss: 7.75917
[INFO] 2020-09-15 14:45:27 > Step: 52500 Progress: 26.2% Elapsed: 1:21:27 temperature: no ada_p: No Discriminator_loss: 0.00513299 Generator_loss: 7.92552
[INFO] 2020-09-15 14:45:31 > Step: 52600 Progress: 26.3% Elapsed: 1:21:32 temperature: no ada_p: No Discriminator_loss: 0.000201173 Generator_loss: 10.649
[INFO] 2020-09-15 14:45:36 > Step: 52700 Progress: 26.4% Elapsed: 1:21:36 temperature: no ada_p: No Discriminator_loss: 0.000555349 Generator_loss: 8.31003
[INFO] 2020-09-15 14:45:41 > Step: 52800 Progress: 26.4% Elapsed: 1:21:41 temperature: no ada_p: No Discriminator_loss: 0.00127062 Generator_loss: 10.3436
[INFO] 2020-09-15 14:45:45 > Step: 52900 Progress: 26.5% Elapsed: 1:21:46 temperature: no ada_p: No Discriminator_loss: 0.0170391 Generator_loss: 5.67491
[INFO] 2020-09-15 14:45:50 > Step: 53000 Progress: 26.5% Elapsed: 1:21:50 temperature: no ada_p: No Discriminator_loss: 0.0570168 Generator_loss: 4.90073
[INFO] 2020-09-15 14:45:54 > Step: 53100 Progress: 26.6% Elapsed: 1:21:55 temperature: no ada_p: No Discriminator_loss: 1.6655e-05 Generator_loss: 12.6672
[INFO] 2020-09-15 14:45:59 > Step: 53200 Progress: 26.6% Elapsed: 1:22:00 temperature: no ada_p: No Discriminator_loss: 0.000781441 Generator_loss: 5.75509
[INFO] 2020-09-15 14:46:04 > Step: 53300 Progress: 26.7% Elapsed: 1:22:04 temperature: no ada_p: No Discriminator_loss: 0.000439338 Generator_loss: 13.2194
[INFO] 2020-09-15 14:46:08 > Step: 53400 Progress: 26.7% Elapsed: 1:22:09 temperature: no ada_p: No Discriminator_loss: 0.00134836 Generator_loss: 10.3152
[INFO] 2020-09-15 14:46:14 > Step: 53500 Progress: 26.8% Elapsed: 1:22:14 temperature: no ada_p: No Discriminator_loss: 0.000923951 Generator_loss: 8.03274
[INFO] 2020-09-15 14:46:18 > Step: 53600 Progress: 26.8% Elapsed: 1:22:19 temperature: no ada_p: No Discriminator_loss: 0.00106132 Generator_loss: 4.57161
[INFO] 2020-09-15 14:46:23 > Step: 53700 Progress: 26.9% Elapsed: 1:22:23 temperature: no ada_p: No Discriminator_loss: 0.0010403 Generator_loss: 8.34245
[INFO] 2020-09-15 14:46:27 > Step: 53800 Progress: 26.9% Elapsed: 1:22:28 temperature: no ada_p: No Discriminator_loss: 0.00024899 Generator_loss: 9.6317
[INFO] 2020-09-15 14:46:32 > Step: 53900 Progress: 27.0% Elapsed: 1:22:33 temperature: no ada_p: No Discriminator_loss: 5.67707e-05 Generator_loss: 6.43561
[INFO] 2020-09-15 14:46:37 > Step: 54000 Progress: 27.0% Elapsed: 1:22:37 temperature: no ada_p: No Discriminator_loss: 0.00480184 Generator_loss: 10.8404
[INFO] 2020-09-15 14:46:37 > Start Evaluation (54000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:48:08 > F_8 score (Step: 54000, Using test images): 0.3945175402942012
[INFO] 2020-09-15 14:48:08 > F_1/8 score (Step: 54000, Using test images): 0.47679270019023
[INFO] 2020-09-15 14:48:08 > FID score (Step: 54000, Using test moments): 108.86852006823477
[INFO] 2020-09-15 14:48:08 > Inception score (Step: 54000, 10000 generated images): 4.526206016540527
[INFO] 2020-09-15 14:48:08 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:48:08 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:48:12 > Step: 54100 Progress: 27.1% Elapsed: 1:24:13 temperature: no ada_p: No Discriminator_loss: 0.000518694 Generator_loss: 3.66614
[INFO] 2020-09-15 14:48:16 > Step: 54200 Progress: 27.1% Elapsed: 1:24:17 temperature: no ada_p: No Discriminator_loss: 0.0563615 Generator_loss: 10.6043
[INFO] 2020-09-15 14:48:22 > Step: 54300 Progress: 27.2% Elapsed: 1:24:22 temperature: no ada_p: No Discriminator_loss: 0.00942935 Generator_loss: 8.63838
[INFO] 2020-09-15 14:48:26 > Step: 54400 Progress: 27.2% Elapsed: 1:24:27 temperature: no ada_p: No Discriminator_loss: 0.000180453 Generator_loss: 19.4051
[INFO] 2020-09-15 14:48:31 > Step: 54500 Progress: 27.3% Elapsed: 1:24:31 temperature: no ada_p: No Discriminator_loss: 0.0177727 Generator_loss: 5.28782
[INFO] 2020-09-15 14:48:35 > Step: 54600 Progress: 27.3% Elapsed: 1:24:36 temperature: no ada_p: No Discriminator_loss: 0.0326115 Generator_loss: 7.01315
[INFO] 2020-09-15 14:48:40 > Step: 54700 Progress: 27.4% Elapsed: 1:24:41 temperature: no ada_p: No Discriminator_loss: 0.0029175 Generator_loss: 7.75854
[INFO] 2020-09-15 14:48:45 > Step: 54800 Progress: 27.4% Elapsed: 1:24:45 temperature: no ada_p: No Discriminator_loss: 2.68165e-05 Generator_loss: 7.13201
[INFO] 2020-09-15 14:48:49 > Step: 54900 Progress: 27.5% Elapsed: 1:24:50 temperature: no ada_p: No Discriminator_loss: 0.00105308 Generator_loss: 12.0934
[INFO] 2020-09-15 14:48:54 > Step: 55000 Progress: 27.5% Elapsed: 1:24:54 temperature: no ada_p: No Discriminator_loss: 0.00172676 Generator_loss: 12.5746
[INFO] 2020-09-15 14:48:59 > Step: 55100 Progress: 27.6% Elapsed: 1:24:59 temperature: no ada_p: No Discriminator_loss: 0.00171418 Generator_loss: 5.64098
[INFO] 2020-09-15 14:49:03 > Step: 55200 Progress: 27.6% Elapsed: 1:25:04 temperature: no ada_p: No Discriminator_loss: 0.000175039 Generator_loss: 13.0361
[INFO] 2020-09-15 14:49:08 > Step: 55300 Progress: 27.7% Elapsed: 1:25:08 temperature: no ada_p: No Discriminator_loss: 0.0315932 Generator_loss: 6.04807
[INFO] 2020-09-15 14:49:12 > Step: 55400 Progress: 27.7% Elapsed: 1:25:13 temperature: no ada_p: No Discriminator_loss: 0.00360826 Generator_loss: 11.5342
[INFO] 2020-09-15 14:49:18 > Step: 55500 Progress: 27.8% Elapsed: 1:25:18 temperature: no ada_p: No Discriminator_loss: 0.0035074 Generator_loss: 4.42006
[INFO] 2020-09-15 14:49:22 > Step: 55600 Progress: 27.8% Elapsed: 1:25:23 temperature: no ada_p: No Discriminator_loss: 0.000340132 Generator_loss: 8.61023
[INFO] 2020-09-15 14:49:27 > Step: 55700 Progress: 27.9% Elapsed: 1:25:27 temperature: no ada_p: No Discriminator_loss: 0.00856109 Generator_loss: 7.18224
[INFO] 2020-09-15 14:49:31 > Step: 55800 Progress: 27.9% Elapsed: 1:25:32 temperature: no ada_p: No Discriminator_loss: 3.95858e-05 Generator_loss: 9.50388
[INFO] 2020-09-15 14:49:36 > Step: 55900 Progress: 28.0% Elapsed: 1:25:37 temperature: no ada_p: No Discriminator_loss: 0.0186973 Generator_loss: 2.72883
[INFO] 2020-09-15 14:49:41 > Step: 56000 Progress: 28.0% Elapsed: 1:25:41 temperature: no ada_p: No Discriminator_loss: 0.000812308 Generator_loss: 6.0793
[INFO] 2020-09-15 14:49:41 > Start Evaluation (56000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:51:15 > F_8 score (Step: 56000, Using test images): 0.37888036190018715
[INFO] 2020-09-15 14:51:15 > F_1/8 score (Step: 56000, Using test images): 0.43904490905263605
[INFO] 2020-09-15 14:51:15 > FID score (Step: 56000, Using test moments): 119.8860269474352
[INFO] 2020-09-15 14:51:15 > Inception score (Step: 56000, 10000 generated images): 5.082154273986816
[INFO] 2020-09-15 14:51:15 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:51:15 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:51:19 > Step: 56100 Progress: 28.1% Elapsed: 1:27:19 temperature: no ada_p: No Discriminator_loss: 1.27794e-05 Generator_loss: 16.8192
[INFO] 2020-09-15 14:51:23 > Step: 56200 Progress: 28.1% Elapsed: 1:27:23 temperature: no ada_p: No Discriminator_loss: 0.00722228 Generator_loss: 8.62221
[INFO] 2020-09-15 14:51:28 > Step: 56300 Progress: 28.1% Elapsed: 1:27:28 temperature: no ada_p: No Discriminator_loss: 0.000133289 Generator_loss: 13.2449
[INFO] 2020-09-15 14:51:32 > Step: 56400 Progress: 28.2% Elapsed: 1:27:33 temperature: no ada_p: No Discriminator_loss: 0.0025116 Generator_loss: 19.4358
[INFO] 2020-09-15 14:51:37 > Step: 56500 Progress: 28.2% Elapsed: 1:27:37 temperature: no ada_p: No Discriminator_loss: 0.0672376 Generator_loss: 6.61103
[INFO] 2020-09-15 14:51:41 > Step: 56600 Progress: 28.3% Elapsed: 1:27:41 temperature: no ada_p: No Discriminator_loss: 0.17042 Generator_loss: 9.38237
[INFO] 2020-09-15 14:51:46 > Step: 56700 Progress: 28.3% Elapsed: 1:27:47 temperature: no ada_p: No Discriminator_loss: 0.00228353 Generator_loss: 6.51937
[INFO] 2020-09-15 14:51:50 > Step: 56800 Progress: 28.4% Elapsed: 1:27:51 temperature: no ada_p: No Discriminator_loss: 6.75179e-05 Generator_loss: 11.8549
[INFO] 2020-09-15 14:51:55 > Step: 56900 Progress: 28.4% Elapsed: 1:27:56 temperature: no ada_p: No Discriminator_loss: 0.0178101 Generator_loss: 4.15768
[INFO] 2020-09-15 14:51:59 > Step: 57000 Progress: 28.5% Elapsed: 1:28:00 temperature: no ada_p: No Discriminator_loss: 0.146813 Generator_loss: 18.0083
[INFO] 2020-09-15 14:52:05 > Step: 57100 Progress: 28.5% Elapsed: 1:28:05 temperature: no ada_p: No Discriminator_loss: 6.88234e-05 Generator_loss: 12.4189
[INFO] 2020-09-15 14:52:09 > Step: 57200 Progress: 28.6% Elapsed: 1:28:10 temperature: no ada_p: No Discriminator_loss: 0.0108947 Generator_loss: 3.82976
[INFO] 2020-09-15 14:52:14 > Step: 57300 Progress: 28.6% Elapsed: 1:28:14 temperature: no ada_p: No Discriminator_loss: 0.00457605 Generator_loss: 4.37802
[INFO] 2020-09-15 14:52:18 > Step: 57400 Progress: 28.7% Elapsed: 1:28:19 temperature: no ada_p: No Discriminator_loss: 0.0142122 Generator_loss: 5.02834
[INFO] 2020-09-15 14:52:23 > Step: 57500 Progress: 28.7% Elapsed: 1:28:24 temperature: no ada_p: No Discriminator_loss: 0.00279642 Generator_loss: 5.7702
[INFO] 2020-09-15 14:52:28 > Step: 57600 Progress: 28.8% Elapsed: 1:28:28 temperature: no ada_p: No Discriminator_loss: 0.00132078 Generator_loss: 3.05411
[INFO] 2020-09-15 14:52:32 > Step: 57700 Progress: 28.8% Elapsed: 1:28:33 temperature: no ada_p: No Discriminator_loss: 0.00534896 Generator_loss: 8.78613
[INFO] 2020-09-15 14:52:38 > Step: 57800 Progress: 28.9% Elapsed: 1:28:38 temperature: no ada_p: No Discriminator_loss: 0.0521499 Generator_loss: 9.85847
[INFO] 2020-09-15 14:52:42 > Step: 57900 Progress: 28.9% Elapsed: 1:28:43 temperature: no ada_p: No Discriminator_loss: 1.07214 Generator_loss: 24.7209
[INFO] 2020-09-15 14:52:47 > Step: 58000 Progress: 29.0% Elapsed: 1:28:47 temperature: no ada_p: No Discriminator_loss: 6.87138e-05 Generator_loss: 11.508
[INFO] 2020-09-15 14:52:47 > Start Evaluation (58000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:54:20 > F_8 score (Step: 58000, Using test images): 0.6086633122421248
[INFO] 2020-09-15 14:54:20 > F_1/8 score (Step: 58000, Using test images): 0.606785795409355
[INFO] 2020-09-15 14:54:20 > FID score (Step: 58000, Using test moments): 91.53636140824489
[INFO] 2020-09-15 14:54:20 > Inception score (Step: 58000, 10000 generated images): 5.913538932800293
[INFO] 2020-09-15 14:54:20 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:54:21 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:54:25 > Step: 58100 Progress: 29.0% Elapsed: 1:30:25 temperature: no ada_p: No Discriminator_loss: 0.0004386 Generator_loss: 8.27099
[INFO] 2020-09-15 14:54:29 > Step: 58200 Progress: 29.1% Elapsed: 1:30:30 temperature: no ada_p: No Discriminator_loss: 0.00560017 Generator_loss: 8.63634
[INFO] 2020-09-15 14:54:34 > Step: 58300 Progress: 29.1% Elapsed: 1:30:34 temperature: no ada_p: No Discriminator_loss: 0.000385321 Generator_loss: 11.0854
[INFO] 2020-09-15 14:54:38 > Step: 58400 Progress: 29.2% Elapsed: 1:30:39 temperature: no ada_p: No Discriminator_loss: 0.00102718 Generator_loss: 7.23904
[INFO] 2020-09-15 14:54:42 > Step: 58500 Progress: 29.2% Elapsed: 1:30:43 temperature: no ada_p: No Discriminator_loss: 0.000777983 Generator_loss: 7.56681
[INFO] 2020-09-15 14:54:47 > Step: 58600 Progress: 29.3% Elapsed: 1:30:48 temperature: no ada_p: No Discriminator_loss: 0.000585665 Generator_loss: 8.14048
[INFO] 2020-09-15 14:54:52 > Step: 58700 Progress: 29.3% Elapsed: 1:30:52 temperature: no ada_p: No Discriminator_loss: 0.000413845 Generator_loss: 8.74174
[INFO] 2020-09-15 14:54:56 > Step: 58800 Progress: 29.4% Elapsed: 1:30:57 temperature: no ada_p: No Discriminator_loss: 0.0116262 Generator_loss: 4.78649
[INFO] 2020-09-15 14:55:01 > Step: 58900 Progress: 29.4% Elapsed: 1:31:01 temperature: no ada_p: No Discriminator_loss: 0.00229892 Generator_loss: 8.7378
[INFO] 2020-09-15 14:55:06 > Step: 59000 Progress: 29.5% Elapsed: 1:31:07 temperature: no ada_p: No Discriminator_loss: 3.3099e-06 Generator_loss: 15.2208
[INFO] 2020-09-15 14:55:10 > Step: 59100 Progress: 29.5% Elapsed: 1:31:11 temperature: no ada_p: No Discriminator_loss: 0.000319741 Generator_loss: 3.77318
[INFO] 2020-09-15 14:55:15 > Step: 59200 Progress: 29.6% Elapsed: 1:31:15 temperature: no ada_p: No Discriminator_loss: 1.59657e-05 Generator_loss: 12.5654
[INFO] 2020-09-15 14:55:19 > Step: 59300 Progress: 29.6% Elapsed: 1:31:20 temperature: no ada_p: No Discriminator_loss: 0.0192695 Generator_loss: 30.6718
[INFO] 2020-09-15 14:55:25 > Step: 59400 Progress: 29.7% Elapsed: 1:31:25 temperature: no ada_p: No Discriminator_loss: 0.0260222 Generator_loss: 6.60618
[INFO] 2020-09-15 14:55:29 > Step: 59500 Progress: 29.8% Elapsed: 1:31:30 temperature: no ada_p: No Discriminator_loss: 6.27711e-07 Generator_loss: 20.7646
[INFO] 2020-09-15 14:55:34 > Step: 59600 Progress: 29.8% Elapsed: 1:31:35 temperature: no ada_p: No Discriminator_loss: 0.0170611 Generator_loss: 20.57
[INFO] 2020-09-15 14:55:39 > Step: 59700 Progress: 29.8% Elapsed: 1:31:39 temperature: no ada_p: No Discriminator_loss: 0.0144778 Generator_loss: 2.10954
[INFO] 2020-09-15 14:55:44 > Step: 59800 Progress: 29.9% Elapsed: 1:31:44 temperature: no ada_p: No Discriminator_loss: 0.00631721 Generator_loss: 3.17796
[INFO] 2020-09-15 14:55:48 > Step: 59900 Progress: 29.9% Elapsed: 1:31:49 temperature: no ada_p: No Discriminator_loss: 0.0079847 Generator_loss: 3.64156
[INFO] 2020-09-15 14:55:53 > Step: 60000 Progress: 30.0% Elapsed: 1:31:54 temperature: no ada_p: No Discriminator_loss: 0.00191739 Generator_loss: 10.6277
[INFO] 2020-09-15 14:55:53 > Start Evaluation (60000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:57:28 > F_8 score (Step: 60000, Using test images): 0.4431828149667541
[INFO] 2020-09-15 14:57:28 > F_1/8 score (Step: 60000, Using test images): 0.5408124453201303
[INFO] 2020-09-15 14:57:28 > FID score (Step: 60000, Using test moments): 97.8528269711735
[INFO] 2020-09-15 14:57:28 > Inception score (Step: 60000, 10000 generated images): 4.790408134460449
[INFO] 2020-09-15 14:57:28 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 14:57:28 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 14:57:32 > Step: 60100 Progress: 30.0% Elapsed: 1:33:33 temperature: no ada_p: No Discriminator_loss: 0.00129186 Generator_loss: 8.84896
[INFO] 2020-09-15 14:57:37 > Step: 60200 Progress: 30.1% Elapsed: 1:33:38 temperature: no ada_p: No Discriminator_loss: 6.12713e-05 Generator_loss: 9.14288
[INFO] 2020-09-15 14:57:41 > Step: 60300 Progress: 30.1% Elapsed: 1:33:42 temperature: no ada_p: No Discriminator_loss: 0.0391084 Generator_loss: 5.68588
[INFO] 2020-09-15 14:57:46 > Step: 60400 Progress: 30.2% Elapsed: 1:33:46 temperature: no ada_p: No Discriminator_loss: 2.88768e-05 Generator_loss: 13.4156
[INFO] 2020-09-15 14:57:50 > Step: 60500 Progress: 30.2% Elapsed: 1:33:51 temperature: no ada_p: No Discriminator_loss: 0.00745926 Generator_loss: 24.1017
[INFO] 2020-09-15 14:57:55 > Step: 60600 Progress: 30.3% Elapsed: 1:33:56 temperature: no ada_p: No Discriminator_loss: 0.00134459 Generator_loss: 6.76397
[INFO] 2020-09-15 14:58:00 > Step: 60700 Progress: 30.3% Elapsed: 1:34:01 temperature: no ada_p: No Discriminator_loss: 0.0309451 Generator_loss: 4.51951
[INFO] 2020-09-15 14:58:04 > Step: 60800 Progress: 30.4% Elapsed: 1:34:05 temperature: no ada_p: No Discriminator_loss: 0.00734022 Generator_loss: 6.8168
[INFO] 2020-09-15 14:58:09 > Step: 60900 Progress: 30.4% Elapsed: 1:34:10 temperature: no ada_p: No Discriminator_loss: 0.00389003 Generator_loss: 3.45726
[INFO] 2020-09-15 14:58:14 > Step: 61000 Progress: 30.5% Elapsed: 1:34:15 temperature: no ada_p: No Discriminator_loss: 0.00407834 Generator_loss: 12.4053
[INFO] 2020-09-15 14:58:19 > Step: 61100 Progress: 30.6% Elapsed: 1:34:19 temperature: no ada_p: No Discriminator_loss: 0.000476277 Generator_loss: 13.5916
[INFO] 2020-09-15 14:58:23 > Step: 61200 Progress: 30.6% Elapsed: 1:34:24 temperature: no ada_p: No Discriminator_loss: 8.69765e-05 Generator_loss: 8.91633
[INFO] 2020-09-15 14:58:28 > Step: 61300 Progress: 30.6% Elapsed: 1:34:28 temperature: no ada_p: No Discriminator_loss: 0.543457 Generator_loss: 5.01416
[INFO] 2020-09-15 14:58:33 > Step: 61400 Progress: 30.7% Elapsed: 1:34:34 temperature: no ada_p: No Discriminator_loss: 0.00167422 Generator_loss: 7.47902
[INFO] 2020-09-15 14:58:38 > Step: 61500 Progress: 30.8% Elapsed: 1:34:38 temperature: no ada_p: No Discriminator_loss: 0.000946442 Generator_loss: 15.6194
[INFO] 2020-09-15 14:58:42 > Step: 61600 Progress: 30.8% Elapsed: 1:34:43 temperature: no ada_p: No Discriminator_loss: 0.00452829 Generator_loss: 6.87034
[INFO] 2020-09-15 14:58:48 > Step: 61700 Progress: 30.9% Elapsed: 1:34:48 temperature: no ada_p: No Discriminator_loss: 0.0109444 Generator_loss: 8.37171
[INFO] 2020-09-15 14:58:52 > Step: 61800 Progress: 30.9% Elapsed: 1:34:53 temperature: no ada_p: No Discriminator_loss: 0.00784449 Generator_loss: 7.78575
[INFO] 2020-09-15 14:58:57 > Step: 61900 Progress: 30.9% Elapsed: 1:34:57 temperature: no ada_p: No Discriminator_loss: 0.0330943 Generator_loss: 5.40799
[INFO] 2020-09-15 14:59:01 > Step: 62000 Progress: 31.0% Elapsed: 1:35:02 temperature: no ada_p: No Discriminator_loss: 1.2343e-05 Generator_loss: 17.194
[INFO] 2020-09-15 14:59:01 > Start Evaluation (62000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:00:35 > F_8 score (Step: 62000, Using test images): 0.42013694737151763
[INFO] 2020-09-15 15:00:35 > F_1/8 score (Step: 62000, Using test images): 0.5254309524998881
[INFO] 2020-09-15 15:00:35 > FID score (Step: 62000, Using test moments): 103.55915572934708
[INFO] 2020-09-15 15:00:35 > Inception score (Step: 62000, 10000 generated images): 4.446132183074951
[INFO] 2020-09-15 15:00:35 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 15:00:35 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:00:40 > Step: 62100 Progress: 31.1% Elapsed: 1:36:40 temperature: no ada_p: No Discriminator_loss: 2.36152e-05 Generator_loss: 20.4572
[INFO] 2020-09-15 15:00:44 > Step: 62200 Progress: 31.1% Elapsed: 1:36:45 temperature: no ada_p: No Discriminator_loss: 0.00184355 Generator_loss: 6.50195
[INFO] 2020-09-15 15:00:48 > Step: 62300 Progress: 31.1% Elapsed: 1:36:49 temperature: no ada_p: No Discriminator_loss: 0.00227761 Generator_loss: 3.68384
[INFO] 2020-09-15 15:00:53 > Step: 62400 Progress: 31.2% Elapsed: 1:36:53 temperature: no ada_p: No Discriminator_loss: 0.0052242 Generator_loss: 5.9867
[INFO] 2020-09-15 15:00:58 > Step: 62500 Progress: 31.2% Elapsed: 1:36:58 temperature: no ada_p: No Discriminator_loss: 0.000120733 Generator_loss: 4.77814
[INFO] 2020-09-15 15:01:02 > Step: 62600 Progress: 31.3% Elapsed: 1:37:03 temperature: no ada_p: No Discriminator_loss: 8.9642e-05 Generator_loss: 12.4791
[INFO] 2020-09-15 15:01:07 > Step: 62700 Progress: 31.4% Elapsed: 1:37:07 temperature: no ada_p: No Discriminator_loss: 0.00590961 Generator_loss: 3.81126
[INFO] 2020-09-15 15:01:11 > Step: 62800 Progress: 31.4% Elapsed: 1:37:12 temperature: no ada_p: No Discriminator_loss: 0.0755489 Generator_loss: 8.18266
[INFO] 2020-09-15 15:01:17 > Step: 62900 Progress: 31.4% Elapsed: 1:37:17 temperature: no ada_p: No Discriminator_loss: 0.0160132 Generator_loss: 6.29676
[INFO] 2020-09-15 15:01:21 > Step: 63000 Progress: 31.5% Elapsed: 1:37:22 temperature: no ada_p: No Discriminator_loss: 0.000264581 Generator_loss: 16.4861
[INFO] 2020-09-15 15:01:26 > Step: 63100 Progress: 31.6% Elapsed: 1:37:26 temperature: no ada_p: No Discriminator_loss: 0.00163043 Generator_loss: 8.72622
[INFO] 2020-09-15 15:01:30 > Step: 63200 Progress: 31.6% Elapsed: 1:37:31 temperature: no ada_p: No Discriminator_loss: 0.39267 Generator_loss: 8.88945
[INFO] 2020-09-15 15:01:35 > Step: 63300 Progress: 31.6% Elapsed: 1:37:36 temperature: no ada_p: No Discriminator_loss: 0.159335 Generator_loss: 2.05352
[INFO] 2020-09-15 15:01:40 > Step: 63400 Progress: 31.7% Elapsed: 1:37:40 temperature: no ada_p: No Discriminator_loss: 0.000424861 Generator_loss: 10.5259
[INFO] 2020-09-15 15:01:44 > Step: 63500 Progress: 31.8% Elapsed: 1:37:45 temperature: no ada_p: No Discriminator_loss: 0.00351647 Generator_loss: 5.20524
[INFO] 2020-09-15 15:01:49 > Step: 63600 Progress: 31.8% Elapsed: 1:37:50 temperature: no ada_p: No Discriminator_loss: 0.00231315 Generator_loss: 3.266
[INFO] 2020-09-15 15:01:54 > Step: 63700 Progress: 31.9% Elapsed: 1:37:55 temperature: no ada_p: No Discriminator_loss: 0.000365886 Generator_loss: 12.9329
[INFO] 2020-09-15 15:01:59 > Step: 63800 Progress: 31.9% Elapsed: 1:38:00 temperature: no ada_p: No Discriminator_loss: 0.0173128 Generator_loss: 3.66653
[INFO] 2020-09-15 15:02:04 > Step: 63900 Progress: 31.9% Elapsed: 1:38:04 temperature: no ada_p: No Discriminator_loss: 0.0137707 Generator_loss: 6.10268
[INFO] 2020-09-15 15:02:08 > Step: 64000 Progress: 32.0% Elapsed: 1:38:09 temperature: no ada_p: No Discriminator_loss: 0.000707933 Generator_loss: 12.9158
[INFO] 2020-09-15 15:02:08 > Start Evaluation (64000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:03:42 > F_8 score (Step: 64000, Using test images): 0.4115144442027284
[INFO] 2020-09-15 15:03:42 > F_1/8 score (Step: 64000, Using test images): 0.5937797303078368
[INFO] 2020-09-15 15:03:42 > FID score (Step: 64000, Using test moments): 103.53997665606471
[INFO] 2020-09-15 15:03:42 > Inception score (Step: 64000, 10000 generated images): 4.18794059753418
[INFO] 2020-09-15 15:03:42 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 15:03:42 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:03:47 > Step: 64100 Progress: 32.0% Elapsed: 1:39:47 temperature: no ada_p: No Discriminator_loss: 0.000177536 Generator_loss: 6.06604
[INFO] 2020-09-15 15:03:51 > Step: 64200 Progress: 32.1% Elapsed: 1:39:52 temperature: no ada_p: No Discriminator_loss: 0.00105438 Generator_loss: 8.5437
[INFO] 2020-09-15 15:03:55 > Step: 64300 Progress: 32.1% Elapsed: 1:39:56 temperature: no ada_p: No Discriminator_loss: 0.00624636 Generator_loss: 5.87762
[INFO] 2020-09-15 15:04:00 > Step: 64400 Progress: 32.2% Elapsed: 1:40:00 temperature: no ada_p: No Discriminator_loss: 0.000109165 Generator_loss: 6.78122
[INFO] 2020-09-15 15:04:05 > Step: 64500 Progress: 32.2% Elapsed: 1:40:06 temperature: no ada_p: No Discriminator_loss: 0.246108 Generator_loss: 4.91073
[INFO] 2020-09-15 15:04:09 > Step: 64600 Progress: 32.3% Elapsed: 1:40:10 temperature: no ada_p: No Discriminator_loss: 0.11228 Generator_loss: 11.1654
[INFO] 2020-09-15 15:04:14 > Step: 64700 Progress: 32.4% Elapsed: 1:40:14 temperature: no ada_p: No Discriminator_loss: 0.000326291 Generator_loss: 9.20202
[INFO] 2020-09-15 15:04:18 > Step: 64800 Progress: 32.4% Elapsed: 1:40:19 temperature: no ada_p: No Discriminator_loss: 0.000720545 Generator_loss: 5.13661
[INFO] 2020-09-15 15:04:24 > Step: 64900 Progress: 32.5% Elapsed: 1:40:24 temperature: no ada_p: No Discriminator_loss: 0.011109 Generator_loss: 8.01941
[INFO] 2020-09-15 15:04:28 > Step: 65000 Progress: 32.5% Elapsed: 1:40:29 temperature: no ada_p: No Discriminator_loss: 0.0046515 Generator_loss: 11.4866
[INFO] 2020-09-15 15:04:33 > Step: 65100 Progress: 32.6% Elapsed: 1:40:33 temperature: no ada_p: No Discriminator_loss: 0.010784 Generator_loss: 4.55064
[INFO] 2020-09-15 15:04:37 > Step: 65200 Progress: 32.6% Elapsed: 1:40:38 temperature: no ada_p: No Discriminator_loss: 0.0155119 Generator_loss: 4.88109
[INFO] 2020-09-15 15:04:43 > Step: 65300 Progress: 32.6% Elapsed: 1:40:43 temperature: no ada_p: No Discriminator_loss: 0.0138486 Generator_loss: 8.23528
[INFO] 2020-09-15 15:04:47 > Step: 65400 Progress: 32.7% Elapsed: 1:40:48 temperature: no ada_p: No Discriminator_loss: 0.463679 Generator_loss: 21.3309
[INFO] 2020-09-15 15:04:52 > Step: 65500 Progress: 32.8% Elapsed: 1:40:53 temperature: no ada_p: No Discriminator_loss: 0.00563689 Generator_loss: 8.44841
[INFO] 2020-09-15 15:04:56 > Step: 65600 Progress: 32.8% Elapsed: 1:40:57 temperature: no ada_p: No Discriminator_loss: 0.0104092 Generator_loss: 5.02818
[INFO] 2020-09-15 15:05:02 > Step: 65700 Progress: 32.9% Elapsed: 1:41:02 temperature: no ada_p: No Discriminator_loss: 0.00896122 Generator_loss: 7.2046
[INFO] 2020-09-15 15:05:06 > Step: 65800 Progress: 32.9% Elapsed: 1:41:07 temperature: no ada_p: No Discriminator_loss: 0.113855 Generator_loss: 9.33641
[INFO] 2020-09-15 15:05:11 > Step: 65900 Progress: 33.0% Elapsed: 1:41:12 temperature: no ada_p: No Discriminator_loss: 1.7527e-06 Generator_loss: 13.2886
[INFO] 2020-09-15 15:05:16 > Step: 66000 Progress: 33.0% Elapsed: 1:41:17 temperature: no ada_p: No Discriminator_loss: 0.000939578 Generator_loss: 4.72562
[INFO] 2020-09-15 15:05:16 > Start Evaluation (66000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:06:49 > F_8 score (Step: 66000, Using test images): 0.3887097247205352
[INFO] 2020-09-15 15:06:49 > F_1/8 score (Step: 66000, Using test images): 0.5453460655767927
[INFO] 2020-09-15 15:06:49 > FID score (Step: 66000, Using test moments): 106.72108481407344
[INFO] 2020-09-15 15:06:49 > Inception score (Step: 66000, 10000 generated images): 5.143624782562256
[INFO] 2020-09-15 15:06:49 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 15:06:49 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:06:53 > Step: 66100 Progress: 33.1% Elapsed: 1:42:54 temperature: no ada_p: No Discriminator_loss: 0.0145135 Generator_loss: 8.53837
[INFO] 2020-09-15 15:06:58 > Step: 66200 Progress: 33.1% Elapsed: 1:42:58 temperature: no ada_p: No Discriminator_loss: 0.000629465 Generator_loss: 3.08491
[INFO] 2020-09-15 15:07:02 > Step: 66300 Progress: 33.1% Elapsed: 1:43:02 temperature: no ada_p: No Discriminator_loss: 0.0653687 Generator_loss: 5.79841
[INFO] 2020-09-15 15:07:07 > Step: 66400 Progress: 33.2% Elapsed: 1:43:08 temperature: no ada_p: No Discriminator_loss: 0.0192887 Generator_loss: 12.9047
[INFO] 2020-09-15 15:07:12 > Step: 66500 Progress: 33.2% Elapsed: 1:43:12 temperature: no ada_p: No Discriminator_loss: 0.0019604 Generator_loss: 6.52252
[INFO] 2020-09-15 15:07:16 > Step: 66600 Progress: 33.3% Elapsed: 1:43:17 temperature: no ada_p: No Discriminator_loss: 0.0838695 Generator_loss: 7.52628
[INFO] 2020-09-15 15:07:21 > Step: 66700 Progress: 33.4% Elapsed: 1:43:21 temperature: no ada_p: No Discriminator_loss: 0.000126547 Generator_loss: 5.87965
[INFO] 2020-09-15 15:07:26 > Step: 66800 Progress: 33.4% Elapsed: 1:43:26 temperature: no ada_p: No Discriminator_loss: 0.00211988 Generator_loss: 9.08871
[INFO] 2020-09-15 15:07:30 > Step: 66900 Progress: 33.5% Elapsed: 1:43:31 temperature: no ada_p: No Discriminator_loss: 7.65687e-05 Generator_loss: 14.6814
[INFO] 2020-09-15 15:07:35 > Step: 67000 Progress: 33.5% Elapsed: 1:43:35 temperature: no ada_p: No Discriminator_loss: 0.0779088 Generator_loss: 7.98955
[INFO] 2020-09-15 15:07:39 > Step: 67100 Progress: 33.6% Elapsed: 1:43:40 temperature: no ada_p: No Discriminator_loss: 1.5903e-05 Generator_loss: 10.6774
[INFO] 2020-09-15 15:07:45 > Step: 67200 Progress: 33.6% Elapsed: 1:43:45 temperature: no ada_p: No Discriminator_loss: 0.0301355 Generator_loss: 7.62471
[INFO] 2020-09-15 15:07:49 > Step: 67300 Progress: 33.7% Elapsed: 1:43:50 temperature: no ada_p: No Discriminator_loss: 0.0015948 Generator_loss: 6.40718
[INFO] 2020-09-15 15:07:54 > Step: 67400 Progress: 33.7% Elapsed: 1:43:54 temperature: no ada_p: No Discriminator_loss: 1.77979 Generator_loss: 20.3342
[INFO] 2020-09-15 15:07:58 > Step: 67500 Progress: 33.8% Elapsed: 1:43:59 temperature: no ada_p: No Discriminator_loss: 0.000359045 Generator_loss: 11.8714
[INFO] 2020-09-15 15:08:04 > Step: 67600 Progress: 33.8% Elapsed: 1:44:04 temperature: no ada_p: No Discriminator_loss: 0.3468 Generator_loss: 1.98946
[INFO] 2020-09-15 15:08:08 > Step: 67700 Progress: 33.9% Elapsed: 1:44:09 temperature: no ada_p: No Discriminator_loss: 0.00175369 Generator_loss: 8.47262
[INFO] 2020-09-15 15:08:13 > Step: 67800 Progress: 33.9% Elapsed: 1:44:13 temperature: no ada_p: No Discriminator_loss: 0.00821638 Generator_loss: 7.90481
[INFO] 2020-09-15 15:08:17 > Step: 67900 Progress: 34.0% Elapsed: 1:44:18 temperature: no ada_p: No Discriminator_loss: 5.71482 Generator_loss: 20.6794
[INFO] 2020-09-15 15:08:22 > Step: 68000 Progress: 34.0% Elapsed: 1:44:23 temperature: no ada_p: No Discriminator_loss: 0.00171232 Generator_loss: 8.89863
[INFO] 2020-09-15 15:08:23 > Start Evaluation (68000 Step): DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:09:57 > F_8 score (Step: 68000, Using test images): 0.4551533850087971
[INFO] 2020-09-15 15:09:57 > F_1/8 score (Step: 68000, Using test images): 0.4803608808974121
[INFO] 2020-09-15 15:09:57 > FID score (Step: 68000, Using test moments): 110.96332531665871
[INFO] 2020-09-15 15:09:57 > Inception score (Step: 68000, 10000 generated images): 4.769278526306152
[INFO] 2020-09-15 15:09:57 > Best FID score (Step: 42000, Using test moments): 49.0297472950507
[INFO] 2020-09-15 15:09:57 > Saved model to checkpoints/DCGAN-train-2020_09_15_13_23_51
[INFO] 2020-09-15 15:10:01 > Step: 68100 Progress: 34.1% Elapsed: 1:46:01 temperature: no ada_p: No Discriminator_loss: 0.000118779 Generator_loss: 9.00848
[INFO] 2020-09-15 15:10:05 > Step: 68200 Progress: 34.1% Elapsed: 1:46:06 temperature: no ada_p: No Discriminator_loss: 0.000122028 Generator_loss: 8.59161
[INFO] 2020-09-15 15:10:09 > Step: 68300 Progress: 34.2% Elapsed: 1:46:10 temperature: no ada_p: No Discriminator_loss: 0.00038491 Generator_loss: 10.1423
[INFO] 2020-09-15 15:10:15 > Step: 68400 Progress: 34.2% Elapsed: 1:46:15 temperature: no ada_p: No Discriminator_loss: 0.000165363 Generator_loss: 10.3277
[INFO] 2020-09-15 15:10:19 > Step: 68500 Progress: 34.2% Elapsed: 1:46:20 temperature: no ada_p: No Discriminator_loss: 0.00373852 Generator_loss: 4.56673
[INFO] 2020-09-15 15:10:24 > Step: 68600 Progress: 34.3% Elapsed: 1:46:24 temperature: no ada_p: No Discriminator_loss: 0.00244261 Generator_loss: 7.45079
[INFO] 2020-09-15 15:10:28 > Step: 68700 Progress: 34.4% Elapsed: 1:46:29 temperature: no ada_p: No Discriminator_loss: 0.00318147 Generator_loss: 6.47866