Path: blob/master/logs/CIFAR10/BigGAN-Deep-train-2020_09_17_13_44_46.log
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[INFO] 2020-09-17 13:44:46 > Run name : BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 13:44:46 > {'config_path': './configs/CIFAR10/BigGAN-Deep.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, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'test'}
[INFO] 2020-09-17 13:44:46 > {'model': {'architecture': 'big_resnet_deep', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 2, 'attention_after_nth_dis_block': 1, 'z_dim': 80, 'shared_dim': 128, 'g_conv_dim': 96, 'd_conv_dim': 96, 'G_depth': 2, 'D_depth': 2}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 1000}}
[INFO] 2020-09-17 13:44:46 > Loading train datasets...
[INFO] 2020-09-17 13:44:47 > Train dataset size : 50000
[INFO] 2020-09-17 13:44:47 > Loading test datasets...
[INFO] 2020-09-17 13:44:50 > Eval dataset size : 10000
[INFO] 2020-09-17 13:44:50 > Building model...
[INFO] 2020-09-17 13:44:50 > Modules are located on models.big_resnet_deep
[INFO] 2020-09-17 13:44:54 > Number of parameters: 4599876
[INFO] 2020-09-17 13:44:54 > Generator(
(linear0): Linear(in_features=208, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
(4): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(5): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
(6): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=384, bias=False)
(bias): Linear(in_features=208, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn3): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(bn4): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=208, out_features=96, bias=False)
(bias): Linear(in_features=208, out_features=96, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(384, 96, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(96, 96, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(96, 384, kernel_size=(1, 1), stride=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-09-17 13:44:54 > Number of parameters: 415010
[INFO] 2020-09-17 13:44:54 > Discriminator(
(input_conv): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(blocks): ModuleList(
(0): ModuleList(
(0): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
(1): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
)
)
(6): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
)
)
(7): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 48, kernel_size=(1, 1), stride=(1, 1))
(conv2d2): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d3): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d4): Conv2d(48, 192, kernel_size=(1, 1), stride=(1, 1))
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=192, out_features=1, bias=True)
(embedding): Embedding(10, 192)
)
[INFO] 2020-09-17 13:44:57 > Start training....
[INFO] 2020-09-17 13:46:09 > Step: 100 Progress: 0.1% Elapsed: 0:01:11 temperature: no ada_p: No Discriminator_loss: 0.523468 Generator_loss: 4.94157
[INFO] 2020-09-17 13:47:29 > Step: 200 Progress: 0.2% Elapsed: 0:02:31 temperature: no ada_p: No Discriminator_loss: 0.706563 Generator_loss: 2.00673
[INFO] 2020-09-17 13:48:47 > Step: 300 Progress: 0.3% Elapsed: 0:03:49 temperature: no ada_p: No Discriminator_loss: 0.774787 Generator_loss: 3.22308
[INFO] 2020-09-17 13:50:05 > Step: 400 Progress: 0.4% Elapsed: 0:05:08 temperature: no ada_p: No Discriminator_loss: 1.84984 Generator_loss: 0.062096
[INFO] 2020-09-17 13:51:22 > Step: 500 Progress: 0.5% Elapsed: 0:06:24 temperature: no ada_p: No Discriminator_loss: 0.840608 Generator_loss: 2.14944
[INFO] 2020-09-17 13:52:39 > Step: 600 Progress: 0.6% Elapsed: 0:07:41 temperature: no ada_p: No Discriminator_loss: 1.44585 Generator_loss: 2.69446
[INFO] 2020-09-17 13:53:57 > Step: 700 Progress: 0.7% Elapsed: 0:08:59 temperature: no ada_p: No Discriminator_loss: 1.85734 Generator_loss: -0.24159
[INFO] 2020-09-17 13:55:15 > Step: 800 Progress: 0.8% Elapsed: 0:10:17 temperature: no ada_p: No Discriminator_loss: 1.30793 Generator_loss: 1.26084
[INFO] 2020-09-17 13:56:32 > Step: 900 Progress: 0.9% Elapsed: 0:11:34 temperature: no ada_p: No Discriminator_loss: 1.21178 Generator_loss: 2.08586
[INFO] 2020-09-17 13:57:50 > Step: 1000 Progress: 1.0% Elapsed: 0:12:52 temperature: no ada_p: No Discriminator_loss: 1.45247 Generator_loss: -0.173121
[INFO] 2020-09-17 13:59:07 > Step: 1100 Progress: 1.1% Elapsed: 0:14:09 temperature: no ada_p: No Discriminator_loss: 1.50459 Generator_loss: 0.142007
[INFO] 2020-09-17 14:00:25 > Step: 1200 Progress: 1.2% Elapsed: 0:15:27 temperature: no ada_p: No Discriminator_loss: 1.43537 Generator_loss: 0.630548
[INFO] 2020-09-17 14:01:42 > Step: 1300 Progress: 1.3% Elapsed: 0:16:44 temperature: no ada_p: No Discriminator_loss: 1.18261 Generator_loss: 1.38724
[INFO] 2020-09-17 14:03:00 > Step: 1400 Progress: 1.4% Elapsed: 0:18:02 temperature: no ada_p: No Discriminator_loss: 1.66423 Generator_loss: -1.09717
[INFO] 2020-09-17 14:04:17 > Step: 1500 Progress: 1.5% Elapsed: 0:19:19 temperature: no ada_p: No Discriminator_loss: 1.70107 Generator_loss: -0.733815
[INFO] 2020-09-17 14:05:33 > Step: 1600 Progress: 1.6% Elapsed: 0:20:36 temperature: no ada_p: No Discriminator_loss: 2.12701 Generator_loss: 1.35269
[INFO] 2020-09-17 14:06:51 > Step: 1700 Progress: 1.7% Elapsed: 0:21:53 temperature: no ada_p: No Discriminator_loss: 1.33783 Generator_loss: -0.34068
[INFO] 2020-09-17 14:08:10 > Step: 1800 Progress: 1.8% Elapsed: 0:23:12 temperature: no ada_p: No Discriminator_loss: 1.56 Generator_loss: -0.305236
[INFO] 2020-09-17 14:09:27 > Step: 1900 Progress: 1.9% Elapsed: 0:24:29 temperature: no ada_p: No Discriminator_loss: 1.56021 Generator_loss: 1.3664
[INFO] 2020-09-17 14:10:39 > Step: 2000 Progress: 2.0% Elapsed: 0:25:41 temperature: no ada_p: No Discriminator_loss: 1.26613 Generator_loss: 1.14695
[INFO] 2020-09-17 14:10:39 > Start Evaluation (2000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 14:12:59 > F_8 score (Step: 2000, Using test images): 0.6021073339600418
[INFO] 2020-09-17 14:12:59 > F_1/8 score (Step: 2000, Using test images): 0.7434601005452312
[INFO] 2020-09-17 14:12:59 > FID score (Step: 2000, Using test moments): 67.13937450831628
[INFO] 2020-09-17 14:12:59 > Inception score (Step: 2000, 10000 generated images): 5.068055629730225
[INFO] 2020-09-17 14:12:59 > Best FID score (Step: 2000, Using test moments): 67.13937450831628
[INFO] 2020-09-17 14:13:01 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 14:14:18 > Step: 2100 Progress: 2.1% Elapsed: 0:29:20 temperature: no ada_p: No Discriminator_loss: 1.34202 Generator_loss: 0.373057
[INFO] 2020-09-17 14:15:37 > Step: 2200 Progress: 2.2% Elapsed: 0:30:39 temperature: no ada_p: No Discriminator_loss: 2.56009 Generator_loss: -0.0473411
[INFO] 2020-09-17 14:16:55 > Step: 2300 Progress: 2.3% Elapsed: 0:31:57 temperature: no ada_p: No Discriminator_loss: 1.71798 Generator_loss: 0.602226
[INFO] 2020-09-17 14:18:14 > Step: 2400 Progress: 2.4% Elapsed: 0:33:16 temperature: no ada_p: No Discriminator_loss: 1.3908 Generator_loss: 0.806819
[INFO] 2020-09-17 14:19:32 > Step: 2500 Progress: 2.5% Elapsed: 0:34:34 temperature: no ada_p: No Discriminator_loss: 1.58068 Generator_loss: 1.1077
[INFO] 2020-09-17 14:20:50 > Step: 2600 Progress: 2.6% Elapsed: 0:35:52 temperature: no ada_p: No Discriminator_loss: 1.95734 Generator_loss: 0.807835
[INFO] 2020-09-17 14:22:07 > Step: 2700 Progress: 2.7% Elapsed: 0:37:09 temperature: no ada_p: No Discriminator_loss: 1.40312 Generator_loss: -0.303201
[INFO] 2020-09-17 14:23:24 > Step: 2800 Progress: 2.8% Elapsed: 0:38:26 temperature: no ada_p: No Discriminator_loss: 1.21169 Generator_loss: 0.531699
[INFO] 2020-09-17 14:24:41 > Step: 2900 Progress: 2.9% Elapsed: 0:39:43 temperature: no ada_p: No Discriminator_loss: 1.56702 Generator_loss: 1.69771
[INFO] 2020-09-17 14:25:58 > Step: 3000 Progress: 3.0% Elapsed: 0:41:00 temperature: no ada_p: No Discriminator_loss: 1.31713 Generator_loss: -0.175073
[INFO] 2020-09-17 14:27:16 > Step: 3100 Progress: 3.1% Elapsed: 0:42:18 temperature: no ada_p: No Discriminator_loss: 1.76111 Generator_loss: -0.605939
[INFO] 2020-09-17 14:28:30 > Step: 3200 Progress: 3.2% Elapsed: 0:43:32 temperature: no ada_p: No Discriminator_loss: 1.17253 Generator_loss: 0.307597
[INFO] 2020-09-17 14:29:41 > Step: 3300 Progress: 3.3% Elapsed: 0:44:43 temperature: no ada_p: No Discriminator_loss: 1.3108 Generator_loss: 1.38124
[INFO] 2020-09-17 14:30:58 > Step: 3400 Progress: 3.4% Elapsed: 0:46:00 temperature: no ada_p: No Discriminator_loss: 1.51049 Generator_loss: 0.148432
[INFO] 2020-09-17 14:32:16 > Step: 3500 Progress: 3.5% Elapsed: 0:47:18 temperature: no ada_p: No Discriminator_loss: 1.29767 Generator_loss: 0.462822
[INFO] 2020-09-17 14:33:34 > Step: 3600 Progress: 3.6% Elapsed: 0:48:37 temperature: no ada_p: No Discriminator_loss: 1.41946 Generator_loss: 0.56703
[INFO] 2020-09-17 14:34:53 > Step: 3700 Progress: 3.7% Elapsed: 0:49:55 temperature: no ada_p: No Discriminator_loss: 1.2106 Generator_loss: 0.922413
[INFO] 2020-09-17 14:36:04 > Step: 3800 Progress: 3.8% Elapsed: 0:51:06 temperature: no ada_p: No Discriminator_loss: 1.27665 Generator_loss: -0.437775
[INFO] 2020-09-17 14:37:12 > Step: 3900 Progress: 3.9% Elapsed: 0:52:14 temperature: no ada_p: No Discriminator_loss: 1.19282 Generator_loss: 1.23754
[INFO] 2020-09-17 14:38:30 > Step: 4000 Progress: 4.0% Elapsed: 0:53:32 temperature: no ada_p: No Discriminator_loss: 1.20948 Generator_loss: 1.85894
[INFO] 2020-09-17 14:38:30 > Start Evaluation (4000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 14:40:50 > F_8 score (Step: 4000, Using test images): 0.6328527053183539
[INFO] 2020-09-17 14:40:50 > F_1/8 score (Step: 4000, Using test images): 0.792491729818585
[INFO] 2020-09-17 14:40:50 > FID score (Step: 4000, Using test moments): 62.967018539776575
[INFO] 2020-09-17 14:40:50 > Inception score (Step: 4000, 10000 generated images): 5.498810768127441
[INFO] 2020-09-17 14:40:50 > Best FID score (Step: 4000, Using test moments): 62.967018539776575
[INFO] 2020-09-17 14:40:52 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 14:42:09 > Step: 4100 Progress: 4.1% Elapsed: 0:57:11 temperature: no ada_p: No Discriminator_loss: 1.21295 Generator_loss: 1.37365
[INFO] 2020-09-17 14:43:25 > Step: 4200 Progress: 4.2% Elapsed: 0:58:27 temperature: no ada_p: No Discriminator_loss: 1.26407 Generator_loss: 1.36183
[INFO] 2020-09-17 14:44:43 > Step: 4300 Progress: 4.3% Elapsed: 0:59:45 temperature: no ada_p: No Discriminator_loss: 1.48371 Generator_loss: 0.170082
[INFO] 2020-09-17 14:46:01 > Step: 4400 Progress: 4.4% Elapsed: 1:01:03 temperature: no ada_p: No Discriminator_loss: 1.05028 Generator_loss: 0.642138
[INFO] 2020-09-17 14:47:19 > Step: 4500 Progress: 4.5% Elapsed: 1:02:21 temperature: no ada_p: No Discriminator_loss: 1.25963 Generator_loss: 1.36644
[INFO] 2020-09-17 14:48:37 > Step: 4600 Progress: 4.6% Elapsed: 1:03:39 temperature: no ada_p: No Discriminator_loss: 1.14433 Generator_loss: 1.02031
[INFO] 2020-09-17 14:49:54 > Step: 4700 Progress: 4.7% Elapsed: 1:04:56 temperature: no ada_p: No Discriminator_loss: 1.02733 Generator_loss: 1.42271
[INFO] 2020-09-17 14:51:12 > Step: 4800 Progress: 4.8% Elapsed: 1:06:14 temperature: no ada_p: No Discriminator_loss: 1.24151 Generator_loss: 0.456788
[INFO] 2020-09-17 14:52:31 > Step: 4900 Progress: 4.9% Elapsed: 1:07:34 temperature: no ada_p: No Discriminator_loss: 1.13681 Generator_loss: 0.581375
[INFO] 2020-09-17 14:53:48 > Step: 5000 Progress: 5.0% Elapsed: 1:08:51 temperature: no ada_p: No Discriminator_loss: 1.21121 Generator_loss: 0.668696
[INFO] 2020-09-17 14:55:07 > Step: 5100 Progress: 5.1% Elapsed: 1:10:09 temperature: no ada_p: No Discriminator_loss: 1.53254 Generator_loss: 1.3929
[INFO] 2020-09-17 14:56:26 > Step: 5200 Progress: 5.2% Elapsed: 1:11:28 temperature: no ada_p: No Discriminator_loss: 1.45967 Generator_loss: 0.375399
[INFO] 2020-09-17 14:57:42 > Step: 5300 Progress: 5.3% Elapsed: 1:12:44 temperature: no ada_p: No Discriminator_loss: 1.10838 Generator_loss: 0.587814
[INFO] 2020-09-17 14:59:01 > Step: 5400 Progress: 5.4% Elapsed: 1:14:03 temperature: no ada_p: No Discriminator_loss: 1.26684 Generator_loss: 0.0603619
[INFO] 2020-09-17 15:00:19 > Step: 5500 Progress: 5.5% Elapsed: 1:15:21 temperature: no ada_p: No Discriminator_loss: 1.15202 Generator_loss: 1.75468
[INFO] 2020-09-17 15:01:33 > Step: 5600 Progress: 5.6% Elapsed: 1:16:35 temperature: no ada_p: No Discriminator_loss: 1.25316 Generator_loss: 0.456275
[INFO] 2020-09-17 15:02:43 > Step: 5700 Progress: 5.7% Elapsed: 1:17:45 temperature: no ada_p: No Discriminator_loss: 1.58949 Generator_loss: -0.207503
[INFO] 2020-09-17 15:03:58 > Step: 5800 Progress: 5.8% Elapsed: 1:19:00 temperature: no ada_p: No Discriminator_loss: 1.17569 Generator_loss: 0.615625
[INFO] 2020-09-17 15:05:15 > Step: 5900 Progress: 5.9% Elapsed: 1:20:17 temperature: no ada_p: No Discriminator_loss: 1.53689 Generator_loss: 1.46077
[INFO] 2020-09-17 15:06:33 > Step: 6000 Progress: 6.0% Elapsed: 1:21:35 temperature: no ada_p: No Discriminator_loss: 1.44829 Generator_loss: 1.87399
[INFO] 2020-09-17 15:06:33 > Start Evaluation (6000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 15:08:55 > F_8 score (Step: 6000, Using test images): 0.6753469743858026
[INFO] 2020-09-17 15:08:55 > F_1/8 score (Step: 6000, Using test images): 0.8197389899493223
[INFO] 2020-09-17 15:08:55 > FID score (Step: 6000, Using test moments): 59.177985950389825
[INFO] 2020-09-17 15:08:55 > Inception score (Step: 6000, 10000 generated images): 6.0323100090026855
[INFO] 2020-09-17 15:08:55 > Best FID score (Step: 6000, Using test moments): 59.177985950389825
[INFO] 2020-09-17 15:08:57 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 15:10:14 > Step: 6100 Progress: 6.1% Elapsed: 1:25:16 temperature: no ada_p: No Discriminator_loss: 0.936871 Generator_loss: 1.0906
[INFO] 2020-09-17 15:11:28 > Step: 6200 Progress: 6.2% Elapsed: 1:26:30 temperature: no ada_p: No Discriminator_loss: 0.978134 Generator_loss: 0.843633
[INFO] 2020-09-17 15:12:40 > Step: 6300 Progress: 6.3% Elapsed: 1:27:42 temperature: no ada_p: No Discriminator_loss: 1.19549 Generator_loss: 0.982497
[INFO] 2020-09-17 15:13:54 > Step: 6400 Progress: 6.4% Elapsed: 1:28:56 temperature: no ada_p: No Discriminator_loss: 1.33878 Generator_loss: 0.378015
[INFO] 2020-09-17 15:15:12 > Step: 6500 Progress: 6.5% Elapsed: 1:30:14 temperature: no ada_p: No Discriminator_loss: 1.04811 Generator_loss: 1.43581
[INFO] 2020-09-17 15:16:28 > Step: 6600 Progress: 6.6% Elapsed: 1:31:31 temperature: no ada_p: No Discriminator_loss: 1.21233 Generator_loss: 1.79741
[INFO] 2020-09-17 15:17:46 > Step: 6700 Progress: 6.7% Elapsed: 1:32:48 temperature: no ada_p: No Discriminator_loss: 0.94704 Generator_loss: -0.60441
[INFO] 2020-09-17 15:19:05 > Step: 6800 Progress: 6.8% Elapsed: 1:34:08 temperature: no ada_p: No Discriminator_loss: 0.98112 Generator_loss: 0.823899
[INFO] 2020-09-17 15:20:24 > Step: 6900 Progress: 6.9% Elapsed: 1:35:26 temperature: no ada_p: No Discriminator_loss: 1.04347 Generator_loss: 1.28062
[INFO] 2020-09-17 15:21:42 > Step: 7000 Progress: 7.0% Elapsed: 1:36:44 temperature: no ada_p: No Discriminator_loss: 1.23082 Generator_loss: 1.42116
[INFO] 2020-09-17 15:23:00 > Step: 7100 Progress: 7.1% Elapsed: 1:38:02 temperature: no ada_p: No Discriminator_loss: 1.16603 Generator_loss: 0.699732
[INFO] 2020-09-17 15:24:18 > Step: 7200 Progress: 7.2% Elapsed: 1:39:20 temperature: no ada_p: No Discriminator_loss: 1.07473 Generator_loss: 0.718329
[INFO] 2020-09-17 15:25:37 > Step: 7300 Progress: 7.3% Elapsed: 1:40:39 temperature: no ada_p: No Discriminator_loss: 1.32673 Generator_loss: 1.58908
[INFO] 2020-09-17 15:26:54 > Step: 7400 Progress: 7.4% Elapsed: 1:41:56 temperature: no ada_p: No Discriminator_loss: 1.26818 Generator_loss: 1.34777
[INFO] 2020-09-17 15:28:05 > Step: 7500 Progress: 7.5% Elapsed: 1:43:07 temperature: no ada_p: No Discriminator_loss: 1.17236 Generator_loss: 2.01838
[INFO] 2020-09-17 15:29:15 > Step: 7600 Progress: 7.6% Elapsed: 1:44:17 temperature: no ada_p: No Discriminator_loss: 1.22706 Generator_loss: 1.03684
[INFO] 2020-09-17 15:30:32 > Step: 7700 Progress: 7.7% Elapsed: 1:45:34 temperature: no ada_p: No Discriminator_loss: 0.873099 Generator_loss: 1.03247
[INFO] 2020-09-17 15:31:49 > Step: 7800 Progress: 7.8% Elapsed: 1:46:51 temperature: no ada_p: No Discriminator_loss: 1.20165 Generator_loss: 0.785021
[INFO] 2020-09-17 15:33:07 > Step: 7900 Progress: 7.9% Elapsed: 1:48:09 temperature: no ada_p: No Discriminator_loss: 1.63653 Generator_loss: 0.00333393
[INFO] 2020-09-17 15:34:25 > Step: 8000 Progress: 8.0% Elapsed: 1:49:27 temperature: no ada_p: No Discriminator_loss: 1.07451 Generator_loss: 0.50444
[INFO] 2020-09-17 15:34:25 > Start Evaluation (8000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 15:36:45 > F_8 score (Step: 8000, Using test images): 0.6843095625799712
[INFO] 2020-09-17 15:36:45 > F_1/8 score (Step: 8000, Using test images): 0.8349479028008986
[INFO] 2020-09-17 15:36:45 > FID score (Step: 8000, Using test moments): 54.701442016514704
[INFO] 2020-09-17 15:36:45 > Inception score (Step: 8000, 10000 generated images): 6.396971702575684
[INFO] 2020-09-17 15:36:45 > Best FID score (Step: 8000, Using test moments): 54.701442016514704
[INFO] 2020-09-17 15:36:48 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 15:38:04 > Step: 8100 Progress: 8.1% Elapsed: 1:53:06 temperature: no ada_p: No Discriminator_loss: 0.690727 Generator_loss: 1.02132
[INFO] 2020-09-17 15:39:24 > Step: 8200 Progress: 8.2% Elapsed: 1:54:26 temperature: no ada_p: No Discriminator_loss: 1.0926 Generator_loss: 0.57875
[INFO] 2020-09-17 15:40:41 > Step: 8300 Progress: 8.3% Elapsed: 1:55:44 temperature: no ada_p: No Discriminator_loss: 1.53471 Generator_loss: 0.667052
[INFO] 2020-09-17 15:41:58 > Step: 8400 Progress: 8.4% Elapsed: 1:57:00 temperature: no ada_p: No Discriminator_loss: 1.05989 Generator_loss: 0.540977
[INFO] 2020-09-17 15:43:16 > Step: 8500 Progress: 8.5% Elapsed: 1:58:18 temperature: no ada_p: No Discriminator_loss: 1.17551 Generator_loss: 0.208853
[INFO] 2020-09-17 15:44:32 > Step: 8600 Progress: 8.6% Elapsed: 1:59:34 temperature: no ada_p: No Discriminator_loss: 1.07885 Generator_loss: 1.41981
[INFO] 2020-09-17 15:45:48 > Step: 8700 Progress: 8.7% Elapsed: 2:00:50 temperature: no ada_p: No Discriminator_loss: 1.15825 Generator_loss: 0.356109
[INFO] 2020-09-17 15:47:06 > Step: 8800 Progress: 8.8% Elapsed: 2:02:08 temperature: no ada_p: No Discriminator_loss: 0.998496 Generator_loss: 0.645139
[INFO] 2020-09-17 15:48:23 > Step: 8900 Progress: 8.9% Elapsed: 2:03:25 temperature: no ada_p: No Discriminator_loss: 1.1305 Generator_loss: 0.731624
[INFO] 2020-09-17 15:49:42 > Step: 9000 Progress: 9.0% Elapsed: 2:04:44 temperature: no ada_p: No Discriminator_loss: 1.31371 Generator_loss: 0.346805
[INFO] 2020-09-17 15:50:59 > Step: 9100 Progress: 9.1% Elapsed: 2:06:02 temperature: no ada_p: No Discriminator_loss: 1.02513 Generator_loss: 0.171771
[INFO] 2020-09-17 15:52:17 > Step: 9200 Progress: 9.2% Elapsed: 2:07:20 temperature: no ada_p: No Discriminator_loss: 0.774766 Generator_loss: 0.797036
[INFO] 2020-09-17 15:53:32 > Step: 9300 Progress: 9.3% Elapsed: 2:08:35 temperature: no ada_p: No Discriminator_loss: 1.29896 Generator_loss: 1.60143
[INFO] 2020-09-17 15:54:42 > Step: 9400 Progress: 9.4% Elapsed: 2:09:44 temperature: no ada_p: No Discriminator_loss: 1.11384 Generator_loss: 0.616664
[INFO] 2020-09-17 15:55:50 > Step: 9500 Progress: 9.5% Elapsed: 2:10:52 temperature: no ada_p: No Discriminator_loss: 1.21203 Generator_loss: 1.61655
[INFO] 2020-09-17 15:57:04 > Step: 9600 Progress: 9.6% Elapsed: 2:12:06 temperature: no ada_p: No Discriminator_loss: 1.07302 Generator_loss: 0.859886
[INFO] 2020-09-17 15:58:22 > Step: 9700 Progress: 9.7% Elapsed: 2:13:24 temperature: no ada_p: No Discriminator_loss: 1.19344 Generator_loss: 0.95266
[INFO] 2020-09-17 15:59:41 > Step: 9800 Progress: 9.8% Elapsed: 2:14:43 temperature: no ada_p: No Discriminator_loss: 1.27775 Generator_loss: 1.75557
[INFO] 2020-09-17 16:00:59 > Step: 9900 Progress: 9.9% Elapsed: 2:16:01 temperature: no ada_p: No Discriminator_loss: 0.904169 Generator_loss: 0.796512
[INFO] 2020-09-17 16:02:17 > Step: 10000 Progress: 10.0% Elapsed: 2:17:19 temperature: no ada_p: No Discriminator_loss: 1.27791 Generator_loss: 2.18016
[INFO] 2020-09-17 16:02:17 > Start Evaluation (10000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 16:04:37 > F_8 score (Step: 10000, Using test images): 0.7781819884080124
[INFO] 2020-09-17 16:04:37 > F_1/8 score (Step: 10000, Using test images): 0.8746128219647701
[INFO] 2020-09-17 16:04:37 > FID score (Step: 10000, Using test moments): 49.547958125517425
[INFO] 2020-09-17 16:04:37 > Inception score (Step: 10000, 10000 generated images): 6.9108967781066895
[INFO] 2020-09-17 16:04:37 > Best FID score (Step: 10000, Using test moments): 49.547958125517425
[INFO] 2020-09-17 16:04:39 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 16:05:56 > Step: 10100 Progress: 10.1% Elapsed: 2:20:58 temperature: no ada_p: No Discriminator_loss: 1.05363 Generator_loss: 0.844016
[INFO] 2020-09-17 16:07:15 > Step: 10200 Progress: 10.2% Elapsed: 2:22:17 temperature: no ada_p: No Discriminator_loss: 0.861868 Generator_loss: 1.22244
[INFO] 2020-09-17 16:08:32 > Step: 10300 Progress: 10.3% Elapsed: 2:23:34 temperature: no ada_p: No Discriminator_loss: 1.1184 Generator_loss: 1.34075
[INFO] 2020-09-17 16:09:50 > Step: 10400 Progress: 10.4% Elapsed: 2:24:52 temperature: no ada_p: No Discriminator_loss: 1.11325 Generator_loss: 0.207252
[INFO] 2020-09-17 16:11:07 > Step: 10500 Progress: 10.5% Elapsed: 2:26:09 temperature: no ada_p: No Discriminator_loss: 0.939289 Generator_loss: 1.23639
[INFO] 2020-09-17 16:12:25 > Step: 10600 Progress: 10.6% Elapsed: 2:27:27 temperature: no ada_p: No Discriminator_loss: 1.06224 Generator_loss: 0.379992
[INFO] 2020-09-17 16:13:42 > Step: 10700 Progress: 10.7% Elapsed: 2:28:44 temperature: no ada_p: No Discriminator_loss: 1.07797 Generator_loss: 0.326449
[INFO] 2020-09-17 16:15:00 > Step: 10800 Progress: 10.8% Elapsed: 2:30:03 temperature: no ada_p: No Discriminator_loss: 1.34771 Generator_loss: 1.73678
[INFO] 2020-09-17 16:16:18 > Step: 10900 Progress: 10.9% Elapsed: 2:31:20 temperature: no ada_p: No Discriminator_loss: 1.2126 Generator_loss: 0.928182
[INFO] 2020-09-17 16:17:36 > Step: 11000 Progress: 11.0% Elapsed: 2:32:38 temperature: no ada_p: No Discriminator_loss: 1.22776 Generator_loss: 0.917099
[INFO] 2020-09-17 16:18:55 > Step: 11100 Progress: 11.1% Elapsed: 2:33:57 temperature: no ada_p: No Discriminator_loss: 1.38861 Generator_loss: 1.09235
[INFO] 2020-09-17 16:20:04 > Step: 11200 Progress: 11.2% Elapsed: 2:35:06 temperature: no ada_p: No Discriminator_loss: 1.0382 Generator_loss: 0.746407
[INFO] 2020-09-17 16:21:13 > Step: 11300 Progress: 11.3% Elapsed: 2:36:15 temperature: no ada_p: No Discriminator_loss: 1.03391 Generator_loss: 1.04728
[INFO] 2020-09-17 16:22:30 > Step: 11400 Progress: 11.4% Elapsed: 2:37:32 temperature: no ada_p: No Discriminator_loss: 0.882707 Generator_loss: 1.31944
[INFO] 2020-09-17 16:23:48 > Step: 11500 Progress: 11.5% Elapsed: 2:38:50 temperature: no ada_p: No Discriminator_loss: 1.23071 Generator_loss: 0.417104
[INFO] 2020-09-17 16:25:07 > Step: 11600 Progress: 11.6% Elapsed: 2:40:09 temperature: no ada_p: No Discriminator_loss: 1.03492 Generator_loss: 0.503914
[INFO] 2020-09-17 16:26:26 > Step: 11700 Progress: 11.7% Elapsed: 2:41:28 temperature: no ada_p: No Discriminator_loss: 1.24781 Generator_loss: 2.06452
[INFO] 2020-09-17 16:27:43 > Step: 11800 Progress: 11.8% Elapsed: 2:42:45 temperature: no ada_p: No Discriminator_loss: 1.09854 Generator_loss: 0.381271
[INFO] 2020-09-17 16:29:01 > Step: 11900 Progress: 11.9% Elapsed: 2:44:03 temperature: no ada_p: No Discriminator_loss: 1.12345 Generator_loss: 0.954371
[INFO] 2020-09-17 16:30:18 > Step: 12000 Progress: 12.0% Elapsed: 2:45:20 temperature: no ada_p: No Discriminator_loss: 1.14154 Generator_loss: 0.482335
[INFO] 2020-09-17 16:30:18 > Start Evaluation (12000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 16:32:37 > F_8 score (Step: 12000, Using test images): 0.8238808781130115
[INFO] 2020-09-17 16:32:37 > F_1/8 score (Step: 12000, Using test images): 0.9061141175376372
[INFO] 2020-09-17 16:32:37 > FID score (Step: 12000, Using test moments): 43.25696407981121
[INFO] 2020-09-17 16:32:37 > Inception score (Step: 12000, 10000 generated images): 7.682384014129639
[INFO] 2020-09-17 16:32:37 > Best FID score (Step: 12000, Using test moments): 43.25696407981121
[INFO] 2020-09-17 16:32:39 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 16:33:57 > Step: 12100 Progress: 12.1% Elapsed: 2:48:59 temperature: no ada_p: No Discriminator_loss: 0.989722 Generator_loss: 0.553329
[INFO] 2020-09-17 16:35:16 > Step: 12200 Progress: 12.2% Elapsed: 2:50:18 temperature: no ada_p: No Discriminator_loss: 0.868922 Generator_loss: 1.0921
[INFO] 2020-09-17 16:36:34 > Step: 12300 Progress: 12.3% Elapsed: 2:51:36 temperature: no ada_p: No Discriminator_loss: 1.60889 Generator_loss: 1.7501
[INFO] 2020-09-17 16:37:52 > Step: 12400 Progress: 12.4% Elapsed: 2:52:54 temperature: no ada_p: No Discriminator_loss: 1.64315 Generator_loss: 0.516688
[INFO] 2020-09-17 16:39:02 > Step: 12500 Progress: 12.5% Elapsed: 2:54:04 temperature: no ada_p: No Discriminator_loss: 1.29849 Generator_loss: -0.263036
[INFO] 2020-09-17 16:40:14 > Step: 12600 Progress: 12.6% Elapsed: 2:55:16 temperature: no ada_p: No Discriminator_loss: 0.937402 Generator_loss: 1.18053
[INFO] 2020-09-17 16:41:31 > Step: 12700 Progress: 12.7% Elapsed: 2:56:33 temperature: no ada_p: No Discriminator_loss: 1.09508 Generator_loss: -0.175278
[INFO] 2020-09-17 16:42:51 > Step: 12800 Progress: 12.8% Elapsed: 2:57:54 temperature: no ada_p: No Discriminator_loss: 0.996378 Generator_loss: 0.958179
[INFO] 2020-09-17 16:44:09 > Step: 12900 Progress: 12.9% Elapsed: 2:59:11 temperature: no ada_p: No Discriminator_loss: 0.867057 Generator_loss: 0.848057
[INFO] 2020-09-17 16:45:21 > Step: 13000 Progress: 13.0% Elapsed: 3:00:23 temperature: no ada_p: No Discriminator_loss: 1.17282 Generator_loss: 0.417721
[INFO] 2020-09-17 16:46:29 > Step: 13100 Progress: 13.1% Elapsed: 3:01:31 temperature: no ada_p: No Discriminator_loss: 1.0579 Generator_loss: 1.20745
[INFO] 2020-09-17 16:47:42 > Step: 13200 Progress: 13.2% Elapsed: 3:02:45 temperature: no ada_p: No Discriminator_loss: 0.98969 Generator_loss: 1.1938
[INFO] 2020-09-17 16:48:59 > Step: 13300 Progress: 13.3% Elapsed: 3:04:01 temperature: no ada_p: No Discriminator_loss: 1.10857 Generator_loss: 0.814423
[INFO] 2020-09-17 16:50:18 > Step: 13400 Progress: 13.4% Elapsed: 3:05:20 temperature: no ada_p: No Discriminator_loss: 1.29198 Generator_loss: 0.204472
[INFO] 2020-09-17 16:51:36 > Step: 13500 Progress: 13.5% Elapsed: 3:06:39 temperature: no ada_p: No Discriminator_loss: 1.16617 Generator_loss: 0.466119
[INFO] 2020-09-17 16:52:55 > Step: 13600 Progress: 13.6% Elapsed: 3:07:57 temperature: no ada_p: No Discriminator_loss: 0.77485 Generator_loss: 0.981317
[INFO] 2020-09-17 16:54:12 > Step: 13700 Progress: 13.7% Elapsed: 3:09:14 temperature: no ada_p: No Discriminator_loss: 1.10411 Generator_loss: 0.987558
[INFO] 2020-09-17 16:55:29 > Step: 13800 Progress: 13.8% Elapsed: 3:10:31 temperature: no ada_p: No Discriminator_loss: 1.14903 Generator_loss: 0.728855
[INFO] 2020-09-17 16:56:45 > Step: 13900 Progress: 13.9% Elapsed: 3:11:47 temperature: no ada_p: No Discriminator_loss: 1.16039 Generator_loss: 0.925993
[INFO] 2020-09-17 16:58:03 > Step: 14000 Progress: 14.0% Elapsed: 3:13:05 temperature: no ada_p: No Discriminator_loss: 1.0534 Generator_loss: 0.634194
[INFO] 2020-09-17 16:58:03 > Start Evaluation (14000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:00:23 > F_8 score (Step: 14000, Using test images): 0.8773186205227832
[INFO] 2020-09-17 17:00:23 > F_1/8 score (Step: 14000, Using test images): 0.9245098656990154
[INFO] 2020-09-17 17:00:23 > FID score (Step: 14000, Using test moments): 37.0714316862676
[INFO] 2020-09-17 17:00:23 > Inception score (Step: 14000, 10000 generated images): 8.04432487487793
[INFO] 2020-09-17 17:00:23 > Best FID score (Step: 14000, Using test moments): 37.0714316862676
[INFO] 2020-09-17 17:00:25 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:01:44 > Step: 14100 Progress: 14.1% Elapsed: 3:16:46 temperature: no ada_p: No Discriminator_loss: 0.91421 Generator_loss: 0.445465
[INFO] 2020-09-17 17:03:01 > Step: 14200 Progress: 14.2% Elapsed: 3:18:03 temperature: no ada_p: No Discriminator_loss: 1.06742 Generator_loss: 0.348371
[INFO] 2020-09-17 17:04:19 > Step: 14300 Progress: 14.3% Elapsed: 3:19:22 temperature: no ada_p: No Discriminator_loss: 1.08954 Generator_loss: 1.12226
[INFO] 2020-09-17 17:05:37 > Step: 14400 Progress: 14.4% Elapsed: 3:20:39 temperature: no ada_p: No Discriminator_loss: 1.30507 Generator_loss: 1.52978
[INFO] 2020-09-17 17:06:56 > Step: 14500 Progress: 14.5% Elapsed: 3:21:58 temperature: no ada_p: No Discriminator_loss: 0.955843 Generator_loss: 1.0011
[INFO] 2020-09-17 17:08:14 > Step: 14600 Progress: 14.6% Elapsed: 3:23:17 temperature: no ada_p: No Discriminator_loss: 0.922078 Generator_loss: 0.756979
[INFO] 2020-09-17 17:09:32 > Step: 14700 Progress: 14.7% Elapsed: 3:24:34 temperature: no ada_p: No Discriminator_loss: 0.979187 Generator_loss: -0.0957756
[INFO] 2020-09-17 17:10:49 > Step: 14800 Progress: 14.8% Elapsed: 3:25:51 temperature: no ada_p: No Discriminator_loss: 1.12812 Generator_loss: 1.73975
[INFO] 2020-09-17 17:11:58 > Step: 14900 Progress: 14.9% Elapsed: 3:27:00 temperature: no ada_p: No Discriminator_loss: 0.948546 Generator_loss: 0.697573
[INFO] 2020-09-17 17:13:07 > Step: 15000 Progress: 15.0% Elapsed: 3:28:10 temperature: no ada_p: No Discriminator_loss: 1.03924 Generator_loss: 1.40617
[INFO] 2020-09-17 17:14:25 > Step: 15100 Progress: 15.1% Elapsed: 3:29:27 temperature: no ada_p: No Discriminator_loss: 1.2255 Generator_loss: 0.965429
[INFO] 2020-09-17 17:15:43 > Step: 15200 Progress: 15.2% Elapsed: 3:30:45 temperature: no ada_p: No Discriminator_loss: 1.01273 Generator_loss: 1.75208
[INFO] 2020-09-17 17:17:01 > Step: 15300 Progress: 15.3% Elapsed: 3:32:03 temperature: no ada_p: No Discriminator_loss: 1.10823 Generator_loss: 1.30997
[INFO] 2020-09-17 17:18:20 > Step: 15400 Progress: 15.4% Elapsed: 3:33:22 temperature: no ada_p: No Discriminator_loss: 1.01205 Generator_loss: 0.473608
[INFO] 2020-09-17 17:19:39 > Step: 15500 Progress: 15.5% Elapsed: 3:34:41 temperature: no ada_p: No Discriminator_loss: 0.91078 Generator_loss: 1.36188
[INFO] 2020-09-17 17:20:55 > Step: 15600 Progress: 15.6% Elapsed: 3:35:58 temperature: no ada_p: No Discriminator_loss: 0.803534 Generator_loss: 1.43346
[INFO] 2020-09-17 17:22:10 > Step: 15700 Progress: 15.7% Elapsed: 3:37:13 temperature: no ada_p: No Discriminator_loss: 0.974679 Generator_loss: 0.499162
[INFO] 2020-09-17 17:23:22 > Step: 15800 Progress: 15.8% Elapsed: 3:38:24 temperature: no ada_p: No Discriminator_loss: 0.865124 Generator_loss: 0.720275
[INFO] 2020-09-17 17:24:41 > Step: 15900 Progress: 15.9% Elapsed: 3:39:43 temperature: no ada_p: No Discriminator_loss: 0.837691 Generator_loss: 0.527927
[INFO] 2020-09-17 17:25:58 > Step: 16000 Progress: 16.0% Elapsed: 3:41:00 temperature: no ada_p: No Discriminator_loss: 1.04773 Generator_loss: 1.90116
[INFO] 2020-09-17 17:25:58 > Start Evaluation (16000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:28:20 > F_8 score (Step: 16000, Using test images): 0.9097013128639009
[INFO] 2020-09-17 17:28:20 > F_1/8 score (Step: 16000, Using test images): 0.9443700176723272
[INFO] 2020-09-17 17:28:20 > FID score (Step: 16000, Using test moments): 31.41547639117914
[INFO] 2020-09-17 17:28:20 > Inception score (Step: 16000, 10000 generated images): 8.25745677947998
[INFO] 2020-09-17 17:28:20 > Best FID score (Step: 16000, Using test moments): 31.41547639117914
[INFO] 2020-09-17 17:28:22 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:29:40 > Step: 16100 Progress: 16.1% Elapsed: 3:44:42 temperature: no ada_p: No Discriminator_loss: 0.646169 Generator_loss: 0.824963
[INFO] 2020-09-17 17:30:58 > Step: 16200 Progress: 16.2% Elapsed: 3:46:00 temperature: no ada_p: No Discriminator_loss: 0.951881 Generator_loss: 0.606997
[INFO] 2020-09-17 17:32:15 > Step: 16300 Progress: 16.3% Elapsed: 3:47:17 temperature: no ada_p: No Discriminator_loss: 1.00687 Generator_loss: 1.2295
[INFO] 2020-09-17 17:33:34 > Step: 16400 Progress: 16.4% Elapsed: 3:48:36 temperature: no ada_p: No Discriminator_loss: 0.811899 Generator_loss: 0.818982
[INFO] 2020-09-17 17:34:51 > Step: 16500 Progress: 16.5% Elapsed: 3:49:53 temperature: no ada_p: No Discriminator_loss: 0.897672 Generator_loss: 0.447374
[INFO] 2020-09-17 17:36:09 > Step: 16600 Progress: 16.6% Elapsed: 3:51:11 temperature: no ada_p: No Discriminator_loss: 0.927931 Generator_loss: -0.468503
[INFO] 2020-09-17 17:37:21 > Step: 16700 Progress: 16.7% Elapsed: 3:52:23 temperature: no ada_p: No Discriminator_loss: 1.18318 Generator_loss: 1.55182
[INFO] 2020-09-17 17:38:30 > Step: 16800 Progress: 16.8% Elapsed: 3:53:32 temperature: no ada_p: No Discriminator_loss: 1.05939 Generator_loss: 1.11723
[INFO] 2020-09-17 17:39:48 > Step: 16900 Progress: 16.9% Elapsed: 3:54:50 temperature: no ada_p: No Discriminator_loss: 0.974638 Generator_loss: 0.48169
[INFO] 2020-09-17 17:41:06 > Step: 17000 Progress: 17.0% Elapsed: 3:56:08 temperature: no ada_p: No Discriminator_loss: 1.14714 Generator_loss: 0.716147
[INFO] 2020-09-17 17:42:23 > Step: 17100 Progress: 17.1% Elapsed: 3:57:25 temperature: no ada_p: No Discriminator_loss: 1.1413 Generator_loss: 0.745615
[INFO] 2020-09-17 17:43:41 > Step: 17200 Progress: 17.2% Elapsed: 3:58:43 temperature: no ada_p: No Discriminator_loss: 1.20827 Generator_loss: 1.63583
[INFO] 2020-09-17 17:44:59 > Step: 17300 Progress: 17.3% Elapsed: 4:00:01 temperature: no ada_p: No Discriminator_loss: 1.17257 Generator_loss: 1.07588
[INFO] 2020-09-17 17:46:16 > Step: 17400 Progress: 17.4% Elapsed: 4:01:18 temperature: no ada_p: No Discriminator_loss: 1.1334 Generator_loss: -0.480531
[INFO] 2020-09-17 17:47:36 > Step: 17500 Progress: 17.5% Elapsed: 4:02:38 temperature: no ada_p: No Discriminator_loss: 0.861547 Generator_loss: 1.4229
[INFO] 2020-09-17 17:48:53 > Step: 17600 Progress: 17.6% Elapsed: 4:03:55 temperature: no ada_p: No Discriminator_loss: 0.901609 Generator_loss: 1.23217
[INFO] 2020-09-17 17:50:12 > Step: 17700 Progress: 17.7% Elapsed: 4:05:14 temperature: no ada_p: No Discriminator_loss: 0.800328 Generator_loss: 0.637282
[INFO] 2020-09-17 17:51:29 > Step: 17800 Progress: 17.8% Elapsed: 4:06:31 temperature: no ada_p: No Discriminator_loss: 1.11145 Generator_loss: 1.92413
[INFO] 2020-09-17 17:52:47 > Step: 17900 Progress: 17.9% Elapsed: 4:07:49 temperature: no ada_p: No Discriminator_loss: 0.892242 Generator_loss: 0.549609
[INFO] 2020-09-17 17:54:06 > Step: 18000 Progress: 18.0% Elapsed: 4:09:08 temperature: no ada_p: No Discriminator_loss: 0.989583 Generator_loss: 1.16024
[INFO] 2020-09-17 17:54:06 > Start Evaluation (18000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:56:24 > F_8 score (Step: 18000, Using test images): 0.9269252746170287
[INFO] 2020-09-17 17:56:24 > F_1/8 score (Step: 18000, Using test images): 0.9409685347412939
[INFO] 2020-09-17 17:56:24 > FID score (Step: 18000, Using test moments): 27.62511976620715
[INFO] 2020-09-17 17:56:24 > Inception score (Step: 18000, 10000 generated images): 8.845606803894043
[INFO] 2020-09-17 17:56:24 > Best FID score (Step: 18000, Using test moments): 27.62511976620715
[INFO] 2020-09-17 17:56:26 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 17:57:43 > Step: 18100 Progress: 18.1% Elapsed: 4:12:45 temperature: no ada_p: No Discriminator_loss: 1.16446 Generator_loss: 0.770101
[INFO] 2020-09-17 17:59:01 > Step: 18200 Progress: 18.2% Elapsed: 4:14:03 temperature: no ada_p: No Discriminator_loss: 0.710311 Generator_loss: 0.909999
[INFO] 2020-09-17 18:00:19 > Step: 18300 Progress: 18.3% Elapsed: 4:15:21 temperature: no ada_p: No Discriminator_loss: 1.2167 Generator_loss: 0.821369
[INFO] 2020-09-17 18:01:36 > Step: 18400 Progress: 18.4% Elapsed: 4:16:39 temperature: no ada_p: No Discriminator_loss: 1.04241 Generator_loss: 1.67154
[INFO] 2020-09-17 18:02:53 > Step: 18500 Progress: 18.5% Elapsed: 4:17:55 temperature: no ada_p: No Discriminator_loss: 1.25987 Generator_loss: 0.363383
[INFO] 2020-09-17 18:04:02 > Step: 18600 Progress: 18.6% Elapsed: 4:19:04 temperature: no ada_p: No Discriminator_loss: 0.792306 Generator_loss: 0.514724
[INFO] 2020-09-17 18:05:11 > Step: 18700 Progress: 18.7% Elapsed: 4:20:14 temperature: no ada_p: No Discriminator_loss: 1.19791 Generator_loss: 0.317908
[INFO] 2020-09-17 18:06:21 > Step: 18800 Progress: 18.8% Elapsed: 4:21:23 temperature: no ada_p: No Discriminator_loss: 1.06207 Generator_loss: 0.0110392
[INFO] 2020-09-17 18:07:38 > Step: 18900 Progress: 18.9% Elapsed: 4:22:40 temperature: no ada_p: No Discriminator_loss: 0.872123 Generator_loss: 1.40339
[INFO] 2020-09-17 18:08:57 > Step: 19000 Progress: 19.0% Elapsed: 4:24:00 temperature: no ada_p: No Discriminator_loss: 1.2978 Generator_loss: 0.950234
[INFO] 2020-09-17 18:10:16 > Step: 19100 Progress: 19.1% Elapsed: 4:25:18 temperature: no ada_p: No Discriminator_loss: 1.01416 Generator_loss: 1.02562
[INFO] 2020-09-17 18:11:35 > Step: 19200 Progress: 19.2% Elapsed: 4:26:37 temperature: no ada_p: No Discriminator_loss: 1.04755 Generator_loss: 0.350534
[INFO] 2020-09-17 18:12:52 > Step: 19300 Progress: 19.3% Elapsed: 4:27:54 temperature: no ada_p: No Discriminator_loss: 0.899335 Generator_loss: 1.28024
[INFO] 2020-09-17 18:14:10 > Step: 19400 Progress: 19.4% Elapsed: 4:29:12 temperature: no ada_p: No Discriminator_loss: 0.983756 Generator_loss: 0.655786
[INFO] 2020-09-17 18:15:27 > Step: 19500 Progress: 19.5% Elapsed: 4:30:29 temperature: no ada_p: No Discriminator_loss: 0.684932 Generator_loss: 1.73485
[INFO] 2020-09-17 18:16:44 > Step: 19600 Progress: 19.6% Elapsed: 4:31:46 temperature: no ada_p: No Discriminator_loss: 1.15437 Generator_loss: 0.243564
[INFO] 2020-09-17 18:18:02 > Step: 19700 Progress: 19.7% Elapsed: 4:33:04 temperature: no ada_p: No Discriminator_loss: 0.795448 Generator_loss: 0.7088
[INFO] 2020-09-17 18:19:20 > Step: 19800 Progress: 19.8% Elapsed: 4:34:22 temperature: no ada_p: No Discriminator_loss: 1.12432 Generator_loss: 0.10616
[INFO] 2020-09-17 18:20:38 > Step: 19900 Progress: 19.9% Elapsed: 4:35:40 temperature: no ada_p: No Discriminator_loss: 1.18971 Generator_loss: 1.43088
[INFO] 2020-09-17 18:21:55 > Step: 20000 Progress: 20.0% Elapsed: 4:36:58 temperature: no ada_p: No Discriminator_loss: 0.994705 Generator_loss: 0.999901
[INFO] 2020-09-17 18:21:56 > Start Evaluation (20000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 18:24:16 > F_8 score (Step: 20000, Using test images): 0.9489571752167453
[INFO] 2020-09-17 18:24:16 > F_1/8 score (Step: 20000, Using test images): 0.9585506387400617
[INFO] 2020-09-17 18:24:16 > FID score (Step: 20000, Using test moments): 24.28098974081132
[INFO] 2020-09-17 18:24:16 > Inception score (Step: 20000, 10000 generated images): 9.039039611816406
[INFO] 2020-09-17 18:24:16 > Best FID score (Step: 20000, Using test moments): 24.28098974081132
[INFO] 2020-09-17 18:24:18 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 18:25:35 > Step: 20100 Progress: 20.1% Elapsed: 4:40:37 temperature: no ada_p: No Discriminator_loss: 0.910615 Generator_loss: 0.647269
[INFO] 2020-09-17 18:26:53 > Step: 20200 Progress: 20.2% Elapsed: 4:41:55 temperature: no ada_p: No Discriminator_loss: 0.977394 Generator_loss: 0.723089
[INFO] 2020-09-17 18:28:10 > Step: 20300 Progress: 20.3% Elapsed: 4:43:13 temperature: no ada_p: No Discriminator_loss: 0.826405 Generator_loss: 0.832876
[INFO] 2020-09-17 18:29:24 > Step: 20400 Progress: 20.4% Elapsed: 4:44:26 temperature: no ada_p: No Discriminator_loss: 1.16681 Generator_loss: 0.72278
[INFO] 2020-09-17 18:30:33 > Step: 20500 Progress: 20.5% Elapsed: 4:45:35 temperature: no ada_p: No Discriminator_loss: 0.997217 Generator_loss: 1.56842
[INFO] 2020-09-17 18:31:50 > Step: 20600 Progress: 20.6% Elapsed: 4:46:52 temperature: no ada_p: No Discriminator_loss: 1.15845 Generator_loss: 1.53518
[INFO] 2020-09-17 18:33:07 > Step: 20700 Progress: 20.7% Elapsed: 4:48:09 temperature: no ada_p: No Discriminator_loss: 0.888757 Generator_loss: 0.450054
[INFO] 2020-09-17 18:34:26 > Step: 20800 Progress: 20.8% Elapsed: 4:49:28 temperature: no ada_p: No Discriminator_loss: 0.98009 Generator_loss: 0.362843
[INFO] 2020-09-17 18:35:43 > Step: 20900 Progress: 20.9% Elapsed: 4:50:45 temperature: no ada_p: No Discriminator_loss: 1.39657 Generator_loss: 1.43772
[INFO] 2020-09-17 18:37:01 > Step: 21000 Progress: 21.0% Elapsed: 4:52:03 temperature: no ada_p: No Discriminator_loss: 0.777535 Generator_loss: 0.980095
[INFO] 2020-09-17 18:38:19 > Step: 21100 Progress: 21.1% Elapsed: 4:53:21 temperature: no ada_p: No Discriminator_loss: 0.820668 Generator_loss: 0.839775
[INFO] 2020-09-17 18:39:37 > Step: 21200 Progress: 21.2% Elapsed: 4:54:39 temperature: no ada_p: No Discriminator_loss: 1.03941 Generator_loss: -0.00692101
[INFO] 2020-09-17 18:40:54 > Step: 21300 Progress: 21.3% Elapsed: 4:55:56 temperature: no ada_p: No Discriminator_loss: 0.701572 Generator_loss: 1.01244
[INFO] 2020-09-17 18:42:12 > Step: 21400 Progress: 21.4% Elapsed: 4:57:15 temperature: no ada_p: No Discriminator_loss: 0.829432 Generator_loss: 1.26446
[INFO] 2020-09-17 18:43:30 > Step: 21500 Progress: 21.5% Elapsed: 4:58:32 temperature: no ada_p: No Discriminator_loss: 0.876661 Generator_loss: 0.746614
[INFO] 2020-09-17 18:44:48 > Step: 21600 Progress: 21.6% Elapsed: 4:59:50 temperature: no ada_p: No Discriminator_loss: 1.10688 Generator_loss: 1.2218
[INFO] 2020-09-17 18:46:06 > Step: 21700 Progress: 21.7% Elapsed: 5:01:08 temperature: no ada_p: No Discriminator_loss: 1.02819 Generator_loss: 0.936442
[INFO] 2020-09-17 18:47:24 > Step: 21800 Progress: 21.8% Elapsed: 5:02:26 temperature: no ada_p: No Discriminator_loss: 1.50654 Generator_loss: 0.647144
[INFO] 2020-09-17 18:48:39 > Step: 21900 Progress: 21.9% Elapsed: 5:03:41 temperature: no ada_p: No Discriminator_loss: 1.06368 Generator_loss: 1.39324
[INFO] 2020-09-17 18:49:50 > Step: 22000 Progress: 22.0% Elapsed: 5:04:52 temperature: no ada_p: No Discriminator_loss: 0.964465 Generator_loss: 0.519913
[INFO] 2020-09-17 18:49:50 > Start Evaluation (22000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 18:52:09 > F_8 score (Step: 22000, Using test images): 0.9515071600627251
[INFO] 2020-09-17 18:52:09 > F_1/8 score (Step: 22000, Using test images): 0.9664775771193345
[INFO] 2020-09-17 18:52:09 > FID score (Step: 22000, Using test moments): 21.651708693396472
[INFO] 2020-09-17 18:52:09 > Inception score (Step: 22000, 10000 generated images): 9.202737808227539
[INFO] 2020-09-17 18:52:09 > Best FID score (Step: 22000, Using test moments): 21.651708693396472
[INFO] 2020-09-17 18:52:11 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 18:53:29 > Step: 22100 Progress: 22.1% Elapsed: 5:08:31 temperature: no ada_p: No Discriminator_loss: 0.917723 Generator_loss: 0.972132
[INFO] 2020-09-17 18:54:44 > Step: 22200 Progress: 22.2% Elapsed: 5:09:47 temperature: no ada_p: No Discriminator_loss: 1.21785 Generator_loss: 1.1887
[INFO] 2020-09-17 18:55:54 > Step: 22300 Progress: 22.3% Elapsed: 5:10:56 temperature: no ada_p: No Discriminator_loss: 0.775539 Generator_loss: 0.997559
[INFO] 2020-09-17 18:57:10 > Step: 22400 Progress: 22.4% Elapsed: 5:12:12 temperature: no ada_p: No Discriminator_loss: 0.977538 Generator_loss: 1.14385
[INFO] 2020-09-17 18:58:29 > Step: 22500 Progress: 22.5% Elapsed: 5:13:31 temperature: no ada_p: No Discriminator_loss: 0.961567 Generator_loss: 0.959181
[INFO] 2020-09-17 18:59:47 > Step: 22600 Progress: 22.6% Elapsed: 5:14:49 temperature: no ada_p: No Discriminator_loss: 1.08265 Generator_loss: 0.935893
[INFO] 2020-09-17 19:01:04 > Step: 22700 Progress: 22.7% Elapsed: 5:16:07 temperature: no ada_p: No Discriminator_loss: 0.958587 Generator_loss: 1.86777
[INFO] 2020-09-17 19:02:23 > Step: 22800 Progress: 22.8% Elapsed: 5:17:26 temperature: no ada_p: No Discriminator_loss: 0.775455 Generator_loss: 0.460957
[INFO] 2020-09-17 19:03:42 > Step: 22900 Progress: 22.9% Elapsed: 5:18:44 temperature: no ada_p: No Discriminator_loss: 1.02534 Generator_loss: 1.50949
[INFO] 2020-09-17 19:04:59 > Step: 23000 Progress: 23.0% Elapsed: 5:20:01 temperature: no ada_p: No Discriminator_loss: 1.03401 Generator_loss: 1.84516
[INFO] 2020-09-17 19:06:17 > Step: 23100 Progress: 23.1% Elapsed: 5:21:19 temperature: no ada_p: No Discriminator_loss: 0.913136 Generator_loss: 0.781346
[INFO] 2020-09-17 19:07:36 > Step: 23200 Progress: 23.2% Elapsed: 5:22:38 temperature: no ada_p: No Discriminator_loss: 1.06354 Generator_loss: 1.10644
[INFO] 2020-09-17 19:08:53 > Step: 23300 Progress: 23.3% Elapsed: 5:23:55 temperature: no ada_p: No Discriminator_loss: 1.28929 Generator_loss: 0.892903
[INFO] 2020-09-17 19:10:10 > Step: 23400 Progress: 23.4% Elapsed: 5:25:12 temperature: no ada_p: No Discriminator_loss: 1.06616 Generator_loss: 0.849172
[INFO] 2020-09-17 19:11:28 > Step: 23500 Progress: 23.5% Elapsed: 5:26:30 temperature: no ada_p: No Discriminator_loss: 1.07207 Generator_loss: 1.55935
[INFO] 2020-09-17 19:12:45 > Step: 23600 Progress: 23.6% Elapsed: 5:27:47 temperature: no ada_p: No Discriminator_loss: 0.797107 Generator_loss: 1.48139
[INFO] 2020-09-17 19:14:03 > Step: 23700 Progress: 23.7% Elapsed: 5:29:05 temperature: no ada_p: No Discriminator_loss: 0.895424 Generator_loss: 0.0888044
[INFO] 2020-09-17 19:15:22 > Step: 23800 Progress: 23.8% Elapsed: 5:30:24 temperature: no ada_p: No Discriminator_loss: 0.914043 Generator_loss: 1.46951
[INFO] 2020-09-17 19:16:39 > Step: 23900 Progress: 23.9% Elapsed: 5:31:41 temperature: no ada_p: No Discriminator_loss: 0.962221 Generator_loss: 1.71402
[INFO] 2020-09-17 19:17:56 > Step: 24000 Progress: 24.0% Elapsed: 5:32:59 temperature: no ada_p: No Discriminator_loss: 1.1515 Generator_loss: 0.827843
[INFO] 2020-09-17 19:17:57 > Start Evaluation (24000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 19:20:19 > F_8 score (Step: 24000, Using test images): 0.9577565646207814
[INFO] 2020-09-17 19:20:19 > F_1/8 score (Step: 24000, Using test images): 0.9688130059100581
[INFO] 2020-09-17 19:20:19 > FID score (Step: 24000, Using test moments): 19.281811898711226
[INFO] 2020-09-17 19:20:19 > Inception score (Step: 24000, 10000 generated images): 9.257989883422852
[INFO] 2020-09-17 19:20:19 > Best FID score (Step: 24000, Using test moments): 19.281811898711226
[INFO] 2020-09-17 19:20:21 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 19:21:33 > Step: 24100 Progress: 24.1% Elapsed: 5:36:35 temperature: no ada_p: No Discriminator_loss: 1.21073 Generator_loss: 0.128909
[INFO] 2020-09-17 19:22:45 > Step: 24200 Progress: 24.2% Elapsed: 5:37:47 temperature: no ada_p: No Discriminator_loss: 0.782554 Generator_loss: 0.656873
[INFO] 2020-09-17 19:24:03 > Step: 24300 Progress: 24.3% Elapsed: 5:39:05 temperature: no ada_p: No Discriminator_loss: 0.986668 Generator_loss: 1.08767
[INFO] 2020-09-17 19:25:22 > Step: 24400 Progress: 24.4% Elapsed: 5:40:25 temperature: no ada_p: No Discriminator_loss: 0.837991 Generator_loss: 1.16352
[INFO] 2020-09-17 19:26:42 > Step: 24500 Progress: 24.5% Elapsed: 5:41:44 temperature: no ada_p: No Discriminator_loss: 0.908062 Generator_loss: 0.689669
[INFO] 2020-09-17 19:28:01 > Step: 24600 Progress: 24.6% Elapsed: 5:43:03 temperature: no ada_p: No Discriminator_loss: 1.11829 Generator_loss: 1.024
[INFO] 2020-09-17 19:29:19 > Step: 24700 Progress: 24.7% Elapsed: 5:44:21 temperature: no ada_p: No Discriminator_loss: 0.972844 Generator_loss: 1.06647
[INFO] 2020-09-17 19:30:38 > Step: 24800 Progress: 24.8% Elapsed: 5:45:40 temperature: no ada_p: No Discriminator_loss: 0.986616 Generator_loss: 0.332016
[INFO] 2020-09-17 19:31:54 > Step: 24900 Progress: 24.9% Elapsed: 5:46:56 temperature: no ada_p: No Discriminator_loss: 1.06811 Generator_loss: 0.416791
[INFO] 2020-09-17 19:33:09 > Step: 25000 Progress: 25.0% Elapsed: 5:48:11 temperature: no ada_p: No Discriminator_loss: 0.830317 Generator_loss: 0.807893
[INFO] 2020-09-17 19:34:27 > Step: 25100 Progress: 25.1% Elapsed: 5:49:29 temperature: no ada_p: No Discriminator_loss: 0.893869 Generator_loss: 1.57964
[INFO] 2020-09-17 19:35:44 > Step: 25200 Progress: 25.2% Elapsed: 5:50:46 temperature: no ada_p: No Discriminator_loss: 0.827966 Generator_loss: 1.25275
[INFO] 2020-09-17 19:37:03 > Step: 25300 Progress: 25.3% Elapsed: 5:52:05 temperature: no ada_p: No Discriminator_loss: 0.931801 Generator_loss: 0.695964
[INFO] 2020-09-17 19:38:20 > Step: 25400 Progress: 25.4% Elapsed: 5:53:22 temperature: no ada_p: No Discriminator_loss: 0.928105 Generator_loss: 0.885597
[INFO] 2020-09-17 19:39:39 > Step: 25500 Progress: 25.5% Elapsed: 5:54:41 temperature: no ada_p: No Discriminator_loss: 1.08278 Generator_loss: 2.11631
[INFO] 2020-09-17 19:40:57 > Step: 25600 Progress: 25.6% Elapsed: 5:55:59 temperature: no ada_p: No Discriminator_loss: 0.906747 Generator_loss: 1.52071
[INFO] 2020-09-17 19:42:15 > Step: 25700 Progress: 25.7% Elapsed: 5:57:17 temperature: no ada_p: No Discriminator_loss: 0.852031 Generator_loss: 1.06979
[INFO] 2020-09-17 19:43:32 > Step: 25800 Progress: 25.8% Elapsed: 5:58:35 temperature: no ada_p: No Discriminator_loss: 0.976999 Generator_loss: 1.28775
[INFO] 2020-09-17 19:44:51 > Step: 25900 Progress: 25.9% Elapsed: 5:59:53 temperature: no ada_p: No Discriminator_loss: 0.628066 Generator_loss: 1.25135
[INFO] 2020-09-17 19:46:10 > Step: 26000 Progress: 26.0% Elapsed: 6:01:12 temperature: no ada_p: No Discriminator_loss: 0.992495 Generator_loss: 0.648814
[INFO] 2020-09-17 19:46:10 > Start Evaluation (26000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 19:48:24 > F_8 score (Step: 26000, Using test images): 0.9717503109482164
[INFO] 2020-09-17 19:48:24 > F_1/8 score (Step: 26000, Using test images): 0.9694793558418527
[INFO] 2020-09-17 19:48:24 > FID score (Step: 26000, Using test moments): 18.43550904700578
[INFO] 2020-09-17 19:48:24 > Inception score (Step: 26000, 10000 generated images): 9.25355052947998
[INFO] 2020-09-17 19:48:24 > Best FID score (Step: 26000, Using test moments): 18.43550904700578
[INFO] 2020-09-17 19:48:26 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 19:49:44 > Step: 26100 Progress: 26.1% Elapsed: 6:04:46 temperature: no ada_p: No Discriminator_loss: 0.85898 Generator_loss: 1.2049
[INFO] 2020-09-17 19:51:02 > Step: 26200 Progress: 26.2% Elapsed: 6:06:04 temperature: no ada_p: No Discriminator_loss: 1.12546 Generator_loss: 1.65108
[INFO] 2020-09-17 19:52:19 > Step: 26300 Progress: 26.3% Elapsed: 6:07:21 temperature: no ada_p: No Discriminator_loss: 1.19144 Generator_loss: 0.846849
[INFO] 2020-09-17 19:53:38 > Step: 26400 Progress: 26.4% Elapsed: 6:08:41 temperature: no ada_p: No Discriminator_loss: 0.66237 Generator_loss: 0.956468
[INFO] 2020-09-17 19:54:56 > Step: 26500 Progress: 26.5% Elapsed: 6:09:58 temperature: no ada_p: No Discriminator_loss: 0.765477 Generator_loss: 1.52164
[INFO] 2020-09-17 19:56:14 > Step: 26600 Progress: 26.6% Elapsed: 6:11:16 temperature: no ada_p: No Discriminator_loss: 1.17406 Generator_loss: 1.47412
[INFO] 2020-09-17 19:57:31 > Step: 26700 Progress: 26.7% Elapsed: 6:12:33 temperature: no ada_p: No Discriminator_loss: 1.32732 Generator_loss: 0.650152
[INFO] 2020-09-17 19:58:50 > Step: 26800 Progress: 26.8% Elapsed: 6:13:52 temperature: no ada_p: No Discriminator_loss: 1.34167 Generator_loss: 0.608875
[INFO] 2020-09-17 20:00:09 > Step: 26900 Progress: 26.9% Elapsed: 6:15:11 temperature: no ada_p: No Discriminator_loss: 0.945547 Generator_loss: 0.208753
[INFO] 2020-09-17 20:01:26 > Step: 27000 Progress: 27.0% Elapsed: 6:16:28 temperature: no ada_p: No Discriminator_loss: 0.900144 Generator_loss: 1.36063
[INFO] 2020-09-17 20:02:43 > Step: 27100 Progress: 27.1% Elapsed: 6:17:46 temperature: no ada_p: No Discriminator_loss: 1.24189 Generator_loss: 1.92691
[INFO] 2020-09-17 20:04:01 > Step: 27200 Progress: 27.2% Elapsed: 6:19:03 temperature: no ada_p: No Discriminator_loss: 0.89645 Generator_loss: 0.750528
[INFO] 2020-09-17 20:05:18 > Step: 27300 Progress: 27.3% Elapsed: 6:20:20 temperature: no ada_p: No Discriminator_loss: 0.987652 Generator_loss: 1.00109
[INFO] 2020-09-17 20:06:36 > Step: 27400 Progress: 27.4% Elapsed: 6:21:38 temperature: no ada_p: No Discriminator_loss: 0.870174 Generator_loss: 1.58545
[INFO] 2020-09-17 20:07:56 > Step: 27500 Progress: 27.5% Elapsed: 6:22:58 temperature: no ada_p: No Discriminator_loss: 1.05305 Generator_loss: 0.622935
[INFO] 2020-09-17 20:09:14 > Step: 27600 Progress: 27.6% Elapsed: 6:24:16 temperature: no ada_p: No Discriminator_loss: 1.03149 Generator_loss: 2.01354
[INFO] 2020-09-17 20:10:32 > Step: 27700 Progress: 27.7% Elapsed: 6:25:34 temperature: no ada_p: No Discriminator_loss: 0.814905 Generator_loss: 0.602137
[INFO] 2020-09-17 20:11:48 > Step: 27800 Progress: 27.8% Elapsed: 6:26:50 temperature: no ada_p: No Discriminator_loss: 1.06414 Generator_loss: 0.642256
[INFO] 2020-09-17 20:12:59 > Step: 27900 Progress: 27.9% Elapsed: 6:28:01 temperature: no ada_p: No Discriminator_loss: 0.898188 Generator_loss: -0.0692013
[INFO] 2020-09-17 20:14:08 > Step: 28000 Progress: 28.0% Elapsed: 6:29:10 temperature: no ada_p: No Discriminator_loss: 1.0753 Generator_loss: 0.481212
[INFO] 2020-09-17 20:14:08 > Start Evaluation (28000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 20:16:24 > F_8 score (Step: 28000, Using test images): 0.9642881813740373
[INFO] 2020-09-17 20:16:24 > F_1/8 score (Step: 28000, Using test images): 0.9722650086897962
[INFO] 2020-09-17 20:16:24 > FID score (Step: 28000, Using test moments): 17.384771810726136
[INFO] 2020-09-17 20:16:24 > Inception score (Step: 28000, 10000 generated images): 9.100836753845215
[INFO] 2020-09-17 20:16:24 > Best FID score (Step: 28000, Using test moments): 17.384771810726136
[INFO] 2020-09-17 20:16:26 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 20:17:43 > Step: 28100 Progress: 28.1% Elapsed: 6:32:45 temperature: no ada_p: No Discriminator_loss: 1.11429 Generator_loss: 0.898513
[INFO] 2020-09-17 20:19:01 > Step: 28200 Progress: 28.2% Elapsed: 6:34:03 temperature: no ada_p: No Discriminator_loss: 0.76352 Generator_loss: 0.866347
[INFO] 2020-09-17 20:20:20 > Step: 28300 Progress: 28.3% Elapsed: 6:35:22 temperature: no ada_p: No Discriminator_loss: 1.04706 Generator_loss: -0.106538
[INFO] 2020-09-17 20:21:38 > Step: 28400 Progress: 28.4% Elapsed: 6:36:40 temperature: no ada_p: No Discriminator_loss: 0.989239 Generator_loss: 1.86936
[INFO] 2020-09-17 20:22:57 > Step: 28500 Progress: 28.5% Elapsed: 6:37:59 temperature: no ada_p: No Discriminator_loss: 1.2505 Generator_loss: 1.37598
[INFO] 2020-09-17 20:24:16 > Step: 28600 Progress: 28.6% Elapsed: 6:39:18 temperature: no ada_p: No Discriminator_loss: 0.842283 Generator_loss: 1.45911
[INFO] 2020-09-17 20:25:33 > Step: 28700 Progress: 28.7% Elapsed: 6:40:35 temperature: no ada_p: No Discriminator_loss: 0.974279 Generator_loss: 1.24926
[INFO] 2020-09-17 20:26:50 > Step: 28800 Progress: 28.8% Elapsed: 6:41:53 temperature: no ada_p: No Discriminator_loss: 1.32067 Generator_loss: 1.22661
[INFO] 2020-09-17 20:28:08 > Step: 28900 Progress: 28.9% Elapsed: 6:43:11 temperature: no ada_p: No Discriminator_loss: 1.00563 Generator_loss: 0.432196
[INFO] 2020-09-17 20:29:26 > Step: 29000 Progress: 29.0% Elapsed: 6:44:28 temperature: no ada_p: No Discriminator_loss: 0.937315 Generator_loss: 1.02702
[INFO] 2020-09-17 20:30:45 > Step: 29100 Progress: 29.1% Elapsed: 6:45:47 temperature: no ada_p: No Discriminator_loss: 1.07677 Generator_loss: 1.77499
[INFO] 2020-09-17 20:32:02 > Step: 29200 Progress: 29.2% Elapsed: 6:47:04 temperature: no ada_p: No Discriminator_loss: 0.989426 Generator_loss: 0.235144
[INFO] 2020-09-17 20:33:21 > Step: 29300 Progress: 29.3% Elapsed: 6:48:23 temperature: no ada_p: No Discriminator_loss: 0.803638 Generator_loss: 1.1709
[INFO] 2020-09-17 20:34:40 > Step: 29400 Progress: 29.4% Elapsed: 6:49:42 temperature: no ada_p: No Discriminator_loss: 0.889548 Generator_loss: 0.751118
[INFO] 2020-09-17 20:35:57 > Step: 29500 Progress: 29.5% Elapsed: 6:51:00 temperature: no ada_p: No Discriminator_loss: 1.19783 Generator_loss: 0.672877
[INFO] 2020-09-17 20:37:16 > Step: 29600 Progress: 29.6% Elapsed: 6:52:18 temperature: no ada_p: No Discriminator_loss: 1.04467 Generator_loss: 0.819162
[INFO] 2020-09-17 20:38:29 > Step: 29700 Progress: 29.7% Elapsed: 6:53:31 temperature: no ada_p: No Discriminator_loss: 0.906474 Generator_loss: 1.40953
[INFO] 2020-09-17 20:39:38 > Step: 29800 Progress: 29.8% Elapsed: 6:54:41 temperature: no ada_p: No Discriminator_loss: 0.951236 Generator_loss: 1.2375
[INFO] 2020-09-17 20:40:54 > Step: 29900 Progress: 29.9% Elapsed: 6:55:56 temperature: no ada_p: No Discriminator_loss: 1.26482 Generator_loss: 0.270089
[INFO] 2020-09-17 20:42:13 > Step: 30000 Progress: 30.0% Elapsed: 6:57:15 temperature: no ada_p: No Discriminator_loss: 1.21215 Generator_loss: 1.95431
[INFO] 2020-09-17 20:42:13 > Start Evaluation (30000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 20:44:32 > F_8 score (Step: 30000, Using test images): 0.9754799675417902
[INFO] 2020-09-17 20:44:33 > F_1/8 score (Step: 30000, Using test images): 0.9660212264144908
[INFO] 2020-09-17 20:44:33 > FID score (Step: 30000, Using test moments): 16.73149074255241
[INFO] 2020-09-17 20:44:33 > Inception score (Step: 30000, 10000 generated images): 9.101689338684082
[INFO] 2020-09-17 20:44:33 > Best FID score (Step: 30000, Using test moments): 16.73149074255241
[INFO] 2020-09-17 20:44:35 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 20:45:53 > Step: 30100 Progress: 30.1% Elapsed: 7:00:55 temperature: no ada_p: No Discriminator_loss: 0.740479 Generator_loss: 1.18167
[INFO] 2020-09-17 20:47:11 > Step: 30200 Progress: 30.2% Elapsed: 7:02:13 temperature: no ada_p: No Discriminator_loss: 0.927827 Generator_loss: 0.807936
[INFO] 2020-09-17 20:48:29 > Step: 30300 Progress: 30.3% Elapsed: 7:03:31 temperature: no ada_p: No Discriminator_loss: 1.01462 Generator_loss: 1.10344
[INFO] 2020-09-17 20:49:47 > Step: 30400 Progress: 30.4% Elapsed: 7:04:49 temperature: no ada_p: No Discriminator_loss: 0.933398 Generator_loss: 1.26178
[INFO] 2020-09-17 20:51:04 > Step: 30500 Progress: 30.5% Elapsed: 7:06:06 temperature: no ada_p: No Discriminator_loss: 0.858393 Generator_loss: 0.794626
[INFO] 2020-09-17 20:52:21 > Step: 30600 Progress: 30.6% Elapsed: 7:07:23 temperature: no ada_p: No Discriminator_loss: 1.13322 Generator_loss: 1.01211
[INFO] 2020-09-17 20:53:40 > Step: 30700 Progress: 30.7% Elapsed: 7:08:42 temperature: no ada_p: No Discriminator_loss: 0.918511 Generator_loss: 0.0517506
[INFO] 2020-09-17 20:54:58 > Step: 30800 Progress: 30.8% Elapsed: 7:10:01 temperature: no ada_p: No Discriminator_loss: 1.2339 Generator_loss: 0.38435
[INFO] 2020-09-17 20:56:15 > Step: 30900 Progress: 30.9% Elapsed: 7:11:17 temperature: no ada_p: No Discriminator_loss: 0.967352 Generator_loss: 0.642215
[INFO] 2020-09-17 20:57:34 > Step: 31000 Progress: 31.0% Elapsed: 7:12:36 temperature: no ada_p: No Discriminator_loss: 0.939291 Generator_loss: 0.583299
[INFO] 2020-09-17 20:58:46 > Step: 31100 Progress: 31.1% Elapsed: 7:13:48 temperature: no ada_p: No Discriminator_loss: 0.895737 Generator_loss: 1.02676
[INFO] 2020-09-17 20:59:57 > Step: 31200 Progress: 31.2% Elapsed: 7:14:59 temperature: no ada_p: No Discriminator_loss: 0.929249 Generator_loss: 1.64679
[INFO] 2020-09-17 21:01:16 > Step: 31300 Progress: 31.3% Elapsed: 7:16:18 temperature: no ada_p: No Discriminator_loss: 0.76932 Generator_loss: 0.834396
[INFO] 2020-09-17 21:02:34 > Step: 31400 Progress: 31.4% Elapsed: 7:17:36 temperature: no ada_p: No Discriminator_loss: 0.819116 Generator_loss: 1.06687
[INFO] 2020-09-17 21:03:49 > Step: 31500 Progress: 31.5% Elapsed: 7:18:51 temperature: no ada_p: No Discriminator_loss: 0.675048 Generator_loss: 0.987732
[INFO] 2020-09-17 21:04:59 > Step: 31600 Progress: 31.6% Elapsed: 7:20:01 temperature: no ada_p: No Discriminator_loss: 0.907862 Generator_loss: 0.604916
[INFO] 2020-09-17 21:06:10 > Step: 31700 Progress: 31.7% Elapsed: 7:21:12 temperature: no ada_p: No Discriminator_loss: 1.10899 Generator_loss: 1.11201
[INFO] 2020-09-17 21:07:30 > Step: 31800 Progress: 31.8% Elapsed: 7:22:32 temperature: no ada_p: No Discriminator_loss: 0.97349 Generator_loss: 0.925976
[INFO] 2020-09-17 21:08:47 > Step: 31900 Progress: 31.9% Elapsed: 7:23:50 temperature: no ada_p: No Discriminator_loss: 1.01986 Generator_loss: 1.83885
[INFO] 2020-09-17 21:10:05 > Step: 32000 Progress: 32.0% Elapsed: 7:25:08 temperature: no ada_p: No Discriminator_loss: 0.717694 Generator_loss: 0.851188
[INFO] 2020-09-17 21:10:06 > Start Evaluation (32000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 21:12:27 > F_8 score (Step: 32000, Using test images): 0.9787824093717311
[INFO] 2020-09-17 21:12:27 > F_1/8 score (Step: 32000, Using test images): 0.9748758335457596
[INFO] 2020-09-17 21:12:27 > FID score (Step: 32000, Using test moments): 16.36463233876475
[INFO] 2020-09-17 21:12:27 > Inception score (Step: 32000, 10000 generated images): 9.127421379089355
[INFO] 2020-09-17 21:12:27 > Best FID score (Step: 32000, Using test moments): 16.36463233876475
[INFO] 2020-09-17 21:12:29 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 21:13:46 > Step: 32100 Progress: 32.1% Elapsed: 7:28:48 temperature: no ada_p: No Discriminator_loss: 0.883059 Generator_loss: 0.969429
[INFO] 2020-09-17 21:15:06 > Step: 32200 Progress: 32.2% Elapsed: 7:30:08 temperature: no ada_p: No Discriminator_loss: 0.895417 Generator_loss: 0.587791
[INFO] 2020-09-17 21:16:25 > Step: 32300 Progress: 32.3% Elapsed: 7:31:27 temperature: no ada_p: No Discriminator_loss: 1.35203 Generator_loss: -0.0273724
[INFO] 2020-09-17 21:17:43 > Step: 32400 Progress: 32.4% Elapsed: 7:32:45 temperature: no ada_p: No Discriminator_loss: 1.52982 Generator_loss: 1.80323
[INFO] 2020-09-17 21:19:02 > Step: 32500 Progress: 32.5% Elapsed: 7:34:04 temperature: no ada_p: No Discriminator_loss: 1.05227 Generator_loss: -0.0348401
[INFO] 2020-09-17 21:20:19 > Step: 32600 Progress: 32.6% Elapsed: 7:35:21 temperature: no ada_p: No Discriminator_loss: 1.00956 Generator_loss: 0.388942
[INFO] 2020-09-17 21:21:37 > Step: 32700 Progress: 32.7% Elapsed: 7:36:39 temperature: no ada_p: No Discriminator_loss: 0.933553 Generator_loss: 1.38398
[INFO] 2020-09-17 21:22:57 > Step: 32800 Progress: 32.8% Elapsed: 7:37:59 temperature: no ada_p: No Discriminator_loss: 1.10036 Generator_loss: 1.21309
[INFO] 2020-09-17 21:24:16 > Step: 32900 Progress: 32.9% Elapsed: 7:39:18 temperature: no ada_p: No Discriminator_loss: 0.876581 Generator_loss: 1.23719
[INFO] 2020-09-17 21:25:36 > Step: 33000 Progress: 33.0% Elapsed: 7:40:38 temperature: no ada_p: No Discriminator_loss: 0.772023 Generator_loss: 0.849416
[INFO] 2020-09-17 21:26:55 > Step: 33100 Progress: 33.1% Elapsed: 7:41:57 temperature: no ada_p: No Discriminator_loss: 1.0324 Generator_loss: 1.33991
[INFO] 2020-09-17 21:28:14 > Step: 33200 Progress: 33.2% Elapsed: 7:43:16 temperature: no ada_p: No Discriminator_loss: 1.13214 Generator_loss: 0.946275
[INFO] 2020-09-17 21:29:31 > Step: 33300 Progress: 33.3% Elapsed: 7:44:33 temperature: no ada_p: No Discriminator_loss: 0.983483 Generator_loss: 1.91906
[INFO] 2020-09-17 21:30:41 > Step: 33400 Progress: 33.4% Elapsed: 7:45:43 temperature: no ada_p: No Discriminator_loss: 0.801669 Generator_loss: 1.98804
[INFO] 2020-09-17 21:31:50 > Step: 33500 Progress: 33.5% Elapsed: 7:46:52 temperature: no ada_p: No Discriminator_loss: 0.888229 Generator_loss: 0.334305
[INFO] 2020-09-17 21:33:08 > Step: 33600 Progress: 33.6% Elapsed: 7:48:10 temperature: no ada_p: No Discriminator_loss: 1.15804 Generator_loss: 0.0256906
[INFO] 2020-09-17 21:34:27 > Step: 33700 Progress: 33.7% Elapsed: 7:49:29 temperature: no ada_p: No Discriminator_loss: 0.831909 Generator_loss: 0.441379
[INFO] 2020-09-17 21:35:44 > Step: 33800 Progress: 33.8% Elapsed: 7:50:46 temperature: no ada_p: No Discriminator_loss: 0.690216 Generator_loss: 1.46479
[INFO] 2020-09-17 21:37:03 > Step: 33900 Progress: 33.9% Elapsed: 7:52:05 temperature: no ada_p: No Discriminator_loss: 0.813356 Generator_loss: 0.807612
[INFO] 2020-09-17 21:38:22 > Step: 34000 Progress: 34.0% Elapsed: 7:53:24 temperature: no ada_p: No Discriminator_loss: 1.12474 Generator_loss: 0.624264
[INFO] 2020-09-17 21:38:22 > Start Evaluation (34000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 21:40:42 > F_8 score (Step: 34000, Using test images): 0.967659722727429
[INFO] 2020-09-17 21:40:42 > F_1/8 score (Step: 34000, Using test images): 0.9746902204696066
[INFO] 2020-09-17 21:40:42 > FID score (Step: 34000, Using test moments): 16.036915815434043
[INFO] 2020-09-17 21:40:42 > Inception score (Step: 34000, 10000 generated images): 9.340800285339355
[INFO] 2020-09-17 21:40:42 > Best FID score (Step: 34000, Using test moments): 16.036915815434043
[INFO] 2020-09-17 21:40:44 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 21:41:58 > Step: 34100 Progress: 34.1% Elapsed: 7:57:00 temperature: no ada_p: No Discriminator_loss: 0.951903 Generator_loss: 0.26597
[INFO] 2020-09-17 21:43:08 > Step: 34200 Progress: 34.2% Elapsed: 7:58:10 temperature: no ada_p: No Discriminator_loss: 0.899279 Generator_loss: 0.44843
[INFO] 2020-09-17 21:44:26 > Step: 34300 Progress: 34.3% Elapsed: 7:59:28 temperature: no ada_p: No Discriminator_loss: 1.24297 Generator_loss: 0.534784
[INFO] 2020-09-17 21:45:44 > Step: 34400 Progress: 34.4% Elapsed: 8:00:46 temperature: no ada_p: No Discriminator_loss: 0.876412 Generator_loss: 1.50794
[INFO] 2020-09-17 21:47:02 > Step: 34500 Progress: 34.5% Elapsed: 8:02:04 temperature: no ada_p: No Discriminator_loss: 0.829777 Generator_loss: 1.21335
[INFO] 2020-09-17 21:48:20 > Step: 34600 Progress: 34.6% Elapsed: 8:03:22 temperature: no ada_p: No Discriminator_loss: 0.992239 Generator_loss: 1.26077
[INFO] 2020-09-17 21:49:38 > Step: 34700 Progress: 34.7% Elapsed: 8:04:40 temperature: no ada_p: No Discriminator_loss: 0.763642 Generator_loss: 1.3547
[INFO] 2020-09-17 21:50:54 > Step: 34800 Progress: 34.8% Elapsed: 8:05:57 temperature: no ada_p: No Discriminator_loss: 0.963667 Generator_loss: 0.332244
[INFO] 2020-09-17 21:52:12 > Step: 34900 Progress: 34.9% Elapsed: 8:07:14 temperature: no ada_p: No Discriminator_loss: 0.770953 Generator_loss: 0.583788
[INFO] 2020-09-17 21:53:30 > Step: 35000 Progress: 35.0% Elapsed: 8:08:32 temperature: no ada_p: No Discriminator_loss: 1.07695 Generator_loss: 0.692486
[INFO] 2020-09-17 21:54:49 > Step: 35100 Progress: 35.1% Elapsed: 8:09:51 temperature: no ada_p: No Discriminator_loss: 0.875165 Generator_loss: 2.32343
[INFO] 2020-09-17 21:56:05 > Step: 35200 Progress: 35.2% Elapsed: 8:11:07 temperature: no ada_p: No Discriminator_loss: 0.735754 Generator_loss: 0.504414
[INFO] 2020-09-17 21:57:16 > Step: 35300 Progress: 35.3% Elapsed: 8:12:18 temperature: no ada_p: No Discriminator_loss: 0.700419 Generator_loss: 1.05328
[INFO] 2020-09-17 21:58:32 > Step: 35400 Progress: 35.4% Elapsed: 8:13:34 temperature: no ada_p: No Discriminator_loss: 1.07506 Generator_loss: 1.32818
[INFO] 2020-09-17 21:59:50 > Step: 35500 Progress: 35.5% Elapsed: 8:14:52 temperature: no ada_p: No Discriminator_loss: 1.10685 Generator_loss: 0.709779
[INFO] 2020-09-17 22:01:07 > Step: 35600 Progress: 35.6% Elapsed: 8:16:09 temperature: no ada_p: No Discriminator_loss: 1.21685 Generator_loss: 1.57191
[INFO] 2020-09-17 22:02:24 > Step: 35700 Progress: 35.7% Elapsed: 8:17:26 temperature: no ada_p: No Discriminator_loss: 0.704744 Generator_loss: 1.53851
[INFO] 2020-09-17 22:03:43 > Step: 35800 Progress: 35.8% Elapsed: 8:18:45 temperature: no ada_p: No Discriminator_loss: 0.699003 Generator_loss: 0.749853
[INFO] 2020-09-17 22:05:02 > Step: 35900 Progress: 35.9% Elapsed: 8:20:05 temperature: no ada_p: No Discriminator_loss: 0.955065 Generator_loss: 0.808178
[INFO] 2020-09-17 22:06:20 > Step: 36000 Progress: 36.0% Elapsed: 8:21:22 temperature: no ada_p: No Discriminator_loss: 0.591556 Generator_loss: 1.52006
[INFO] 2020-09-17 22:06:20 > Start Evaluation (36000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 22:08:42 > F_8 score (Step: 36000, Using test images): 0.9836529470459174
[INFO] 2020-09-17 22:08:42 > F_1/8 score (Step: 36000, Using test images): 0.9749586400995361
[INFO] 2020-09-17 22:08:42 > FID score (Step: 36000, Using test moments): 14.778826841222326
[INFO] 2020-09-17 22:08:42 > Inception score (Step: 36000, 10000 generated images): 8.935980796813965
[INFO] 2020-09-17 22:08:42 > Best FID score (Step: 36000, Using test moments): 14.778826841222326
[INFO] 2020-09-17 22:08:44 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 22:10:03 > Step: 36100 Progress: 36.1% Elapsed: 8:25:05 temperature: no ada_p: No Discriminator_loss: 1.01209 Generator_loss: 0.464164
[INFO] 2020-09-17 22:11:22 > Step: 36200 Progress: 36.2% Elapsed: 8:26:24 temperature: no ada_p: No Discriminator_loss: 0.819123 Generator_loss: 1.43912
[INFO] 2020-09-17 22:12:40 > Step: 36300 Progress: 36.3% Elapsed: 8:27:42 temperature: no ada_p: No Discriminator_loss: 0.90517 Generator_loss: 0.606131
[INFO] 2020-09-17 22:14:00 > Step: 36400 Progress: 36.4% Elapsed: 8:29:02 temperature: no ada_p: No Discriminator_loss: 0.96038 Generator_loss: 0.424349
[INFO] 2020-09-17 22:15:18 > Step: 36500 Progress: 36.5% Elapsed: 8:30:20 temperature: no ada_p: No Discriminator_loss: 0.966001 Generator_loss: 1.20856
[INFO] 2020-09-17 22:16:37 > Step: 36600 Progress: 36.6% Elapsed: 8:31:39 temperature: no ada_p: No Discriminator_loss: 0.890045 Generator_loss: -0.190084
[INFO] 2020-09-17 22:17:56 > Step: 36700 Progress: 36.7% Elapsed: 8:32:58 temperature: no ada_p: No Discriminator_loss: 0.84096 Generator_loss: 0.954822
[INFO] 2020-09-17 22:19:14 > Step: 36800 Progress: 36.8% Elapsed: 8:34:16 temperature: no ada_p: No Discriminator_loss: 1.0567 Generator_loss: 0.788865
[INFO] 2020-09-17 22:20:31 > Step: 36900 Progress: 36.9% Elapsed: 8:35:34 temperature: no ada_p: No Discriminator_loss: 1.44457 Generator_loss: 0.707495
[INFO] 2020-09-17 22:21:47 > Step: 37000 Progress: 37.0% Elapsed: 8:36:49 temperature: no ada_p: No Discriminator_loss: 0.797767 Generator_loss: 1.30705
[INFO] 2020-09-17 22:22:56 > Step: 37100 Progress: 37.1% Elapsed: 8:37:58 temperature: no ada_p: No Discriminator_loss: 0.819591 Generator_loss: 1.56849
[INFO] 2020-09-17 22:24:11 > Step: 37200 Progress: 37.2% Elapsed: 8:39:13 temperature: no ada_p: No Discriminator_loss: 0.877994 Generator_loss: 0.678419
[INFO] 2020-09-17 22:25:26 > Step: 37300 Progress: 37.3% Elapsed: 8:40:28 temperature: no ada_p: No Discriminator_loss: 0.903608 Generator_loss: 0.852482
[INFO] 2020-09-17 22:26:37 > Step: 37400 Progress: 37.4% Elapsed: 8:41:39 temperature: no ada_p: No Discriminator_loss: 0.835495 Generator_loss: 0.669354
[INFO] 2020-09-17 22:27:56 > Step: 37500 Progress: 37.5% Elapsed: 8:42:58 temperature: no ada_p: No Discriminator_loss: 0.782918 Generator_loss: 0.57143
[INFO] 2020-09-17 22:29:15 > Step: 37600 Progress: 37.6% Elapsed: 8:44:17 temperature: no ada_p: No Discriminator_loss: 0.929152 Generator_loss: 0.402706
[INFO] 2020-09-17 22:30:34 > Step: 37700 Progress: 37.7% Elapsed: 8:45:36 temperature: no ada_p: No Discriminator_loss: 1.02759 Generator_loss: 1.37837
[INFO] 2020-09-17 22:31:52 > Step: 37800 Progress: 37.8% Elapsed: 8:46:55 temperature: no ada_p: No Discriminator_loss: 0.736175 Generator_loss: 0.859475
[INFO] 2020-09-17 22:33:12 > Step: 37900 Progress: 37.9% Elapsed: 8:48:14 temperature: no ada_p: No Discriminator_loss: 1.00854 Generator_loss: 1.29293
[INFO] 2020-09-17 22:34:30 > Step: 38000 Progress: 38.0% Elapsed: 8:49:32 temperature: no ada_p: No Discriminator_loss: 1.02557 Generator_loss: 1.47027
[INFO] 2020-09-17 22:34:30 > Start Evaluation (38000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 22:36:52 > F_8 score (Step: 38000, Using test images): 0.9770341731521933
[INFO] 2020-09-17 22:36:52 > F_1/8 score (Step: 38000, Using test images): 0.9784173303694143
[INFO] 2020-09-17 22:36:52 > FID score (Step: 38000, Using test moments): 14.009076632388087
[INFO] 2020-09-17 22:36:52 > Inception score (Step: 38000, 10000 generated images): 8.995817184448242
[INFO] 2020-09-17 22:36:52 > Best FID score (Step: 38000, Using test moments): 14.009076632388087
[INFO] 2020-09-17 22:36:54 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 22:38:12 > Step: 38100 Progress: 38.1% Elapsed: 8:53:14 temperature: no ada_p: No Discriminator_loss: 0.779236 Generator_loss: 1.12387
[INFO] 2020-09-17 22:39:29 > Step: 38200 Progress: 38.2% Elapsed: 8:54:31 temperature: no ada_p: No Discriminator_loss: 0.937384 Generator_loss: 0.973425
[INFO] 2020-09-17 22:40:48 > Step: 38300 Progress: 38.3% Elapsed: 8:55:50 temperature: no ada_p: No Discriminator_loss: 0.708596 Generator_loss: 0.922029
[INFO] 2020-09-17 22:42:06 > Step: 38400 Progress: 38.4% Elapsed: 8:57:08 temperature: no ada_p: No Discriminator_loss: 1.40718 Generator_loss: 0.433331
[INFO] 2020-09-17 22:43:24 > Step: 38500 Progress: 38.5% Elapsed: 8:58:26 temperature: no ada_p: No Discriminator_loss: 0.81829 Generator_loss: 1.4887
[INFO] 2020-09-17 22:44:42 > Step: 38600 Progress: 38.6% Elapsed: 8:59:44 temperature: no ada_p: No Discriminator_loss: 1.00424 Generator_loss: 0.624238
[INFO] 2020-09-17 22:45:57 > Step: 38700 Progress: 38.7% Elapsed: 9:00:59 temperature: no ada_p: No Discriminator_loss: 0.851013 Generator_loss: 0.701358
[INFO] 2020-09-17 22:47:14 > Step: 38800 Progress: 38.8% Elapsed: 9:02:16 temperature: no ada_p: No Discriminator_loss: 1.24283 Generator_loss: 1.71216
[INFO] 2020-09-17 22:48:25 > Step: 38900 Progress: 38.9% Elapsed: 9:03:27 temperature: no ada_p: No Discriminator_loss: 0.990929 Generator_loss: 0.880201
[INFO] 2020-09-17 22:49:37 > Step: 39000 Progress: 39.0% Elapsed: 9:04:39 temperature: no ada_p: No Discriminator_loss: 1.12506 Generator_loss: 0.402778
[INFO] 2020-09-17 22:50:55 > Step: 39100 Progress: 39.1% Elapsed: 9:05:57 temperature: no ada_p: No Discriminator_loss: 0.889521 Generator_loss: 0.534493
[INFO] 2020-09-17 22:52:13 > Step: 39200 Progress: 39.2% Elapsed: 9:07:15 temperature: no ada_p: No Discriminator_loss: 0.976558 Generator_loss: 1.60223
[INFO] 2020-09-17 22:53:32 > Step: 39300 Progress: 39.3% Elapsed: 9:08:34 temperature: no ada_p: No Discriminator_loss: 0.824499 Generator_loss: 1.58642
[INFO] 2020-09-17 22:54:50 > Step: 39400 Progress: 39.4% Elapsed: 9:09:52 temperature: no ada_p: No Discriminator_loss: 0.810976 Generator_loss: 0.642944
[INFO] 2020-09-17 22:56:08 > Step: 39500 Progress: 39.5% Elapsed: 9:11:10 temperature: no ada_p: No Discriminator_loss: 1.10111 Generator_loss: 0.936839
[INFO] 2020-09-17 22:57:27 > Step: 39600 Progress: 39.6% Elapsed: 9:12:30 temperature: no ada_p: No Discriminator_loss: 0.973957 Generator_loss: 0.412083
[INFO] 2020-09-17 22:58:46 > Step: 39700 Progress: 39.7% Elapsed: 9:13:48 temperature: no ada_p: No Discriminator_loss: 0.733021 Generator_loss: 0.867259
[INFO] 2020-09-17 23:00:02 > Step: 39800 Progress: 39.8% Elapsed: 9:15:04 temperature: no ada_p: No Discriminator_loss: 1.02882 Generator_loss: 1.2224
[INFO] 2020-09-17 23:01:21 > Step: 39900 Progress: 39.9% Elapsed: 9:16:24 temperature: no ada_p: No Discriminator_loss: 1.04326 Generator_loss: 1.36272
[INFO] 2020-09-17 23:02:39 > Step: 40000 Progress: 40.0% Elapsed: 9:17:42 temperature: no ada_p: No Discriminator_loss: 0.994345 Generator_loss: 1.21589
[INFO] 2020-09-17 23:02:40 > Start Evaluation (40000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 23:05:00 > F_8 score (Step: 40000, Using test images): 0.9764504181907937
[INFO] 2020-09-17 23:05:00 > F_1/8 score (Step: 40000, Using test images): 0.9817276552598547
[INFO] 2020-09-17 23:05:00 > FID score (Step: 40000, Using test moments): 13.398867498395589
[INFO] 2020-09-17 23:05:00 > Inception score (Step: 40000, 10000 generated images): 9.238602638244629
[INFO] 2020-09-17 23:05:00 > Best FID score (Step: 40000, Using test moments): 13.398867498395589
[INFO] 2020-09-17 23:05:02 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 23:06:19 > Step: 40100 Progress: 40.1% Elapsed: 9:21:21 temperature: no ada_p: No Discriminator_loss: 0.773017 Generator_loss: 0.876426
[INFO] 2020-09-17 23:07:36 > Step: 40200 Progress: 40.2% Elapsed: 9:22:38 temperature: no ada_p: No Discriminator_loss: 1.12474 Generator_loss: 1.35687
[INFO] 2020-09-17 23:08:49 > Step: 40300 Progress: 40.3% Elapsed: 9:23:51 temperature: no ada_p: No Discriminator_loss: 0.813058 Generator_loss: 1.45995
[INFO] 2020-09-17 23:09:57 > Step: 40400 Progress: 40.4% Elapsed: 9:24:59 temperature: no ada_p: No Discriminator_loss: 0.680792 Generator_loss: 0.228269
[INFO] 2020-09-17 23:11:13 > Step: 40500 Progress: 40.5% Elapsed: 9:26:16 temperature: no ada_p: No Discriminator_loss: 0.752461 Generator_loss: 0.72183
[INFO] 2020-09-17 23:12:31 > Step: 40600 Progress: 40.6% Elapsed: 9:27:34 temperature: no ada_p: No Discriminator_loss: 1.00601 Generator_loss: 1.60242
[INFO] 2020-09-17 23:13:44 > Step: 40700 Progress: 40.7% Elapsed: 9:28:46 temperature: no ada_p: No Discriminator_loss: 0.752272 Generator_loss: -0.0818509
[INFO] 2020-09-17 23:14:54 > Step: 40800 Progress: 40.8% Elapsed: 9:29:56 temperature: no ada_p: No Discriminator_loss: 0.846248 Generator_loss: 0.740609
[INFO] 2020-09-17 23:16:11 > Step: 40900 Progress: 40.9% Elapsed: 9:31:13 temperature: no ada_p: No Discriminator_loss: 0.71664 Generator_loss: 1.14365
[INFO] 2020-09-17 23:17:29 > Step: 41000 Progress: 41.0% Elapsed: 9:32:31 temperature: no ada_p: No Discriminator_loss: 1.07265 Generator_loss: 0.595197
[INFO] 2020-09-17 23:18:47 > Step: 41100 Progress: 41.1% Elapsed: 9:33:49 temperature: no ada_p: No Discriminator_loss: 0.829877 Generator_loss: 1.55943
[INFO] 2020-09-17 23:20:05 > Step: 41200 Progress: 41.2% Elapsed: 9:35:07 temperature: no ada_p: No Discriminator_loss: 0.725306 Generator_loss: 1.29096
[INFO] 2020-09-17 23:21:23 > Step: 41300 Progress: 41.3% Elapsed: 9:36:25 temperature: no ada_p: No Discriminator_loss: 0.885297 Generator_loss: 0.918487
[INFO] 2020-09-17 23:22:41 > Step: 41400 Progress: 41.4% Elapsed: 9:37:43 temperature: no ada_p: No Discriminator_loss: 1.13949 Generator_loss: 1.00329
[INFO] 2020-09-17 23:23:57 > Step: 41500 Progress: 41.5% Elapsed: 9:39:00 temperature: no ada_p: No Discriminator_loss: 0.769329 Generator_loss: 1.14579
[INFO] 2020-09-17 23:25:16 > Step: 41600 Progress: 41.6% Elapsed: 9:40:18 temperature: no ada_p: No Discriminator_loss: 0.913102 Generator_loss: 1.71499
[INFO] 2020-09-17 23:26:33 > Step: 41700 Progress: 41.7% Elapsed: 9:41:35 temperature: no ada_p: No Discriminator_loss: 0.920238 Generator_loss: 1.06714
[INFO] 2020-09-17 23:27:53 > Step: 41800 Progress: 41.8% Elapsed: 9:42:55 temperature: no ada_p: No Discriminator_loss: 0.918952 Generator_loss: 1.53435
[INFO] 2020-09-17 23:29:12 > Step: 41900 Progress: 41.9% Elapsed: 9:44:14 temperature: no ada_p: No Discriminator_loss: 0.987508 Generator_loss: 1.28294
[INFO] 2020-09-17 23:30:30 > Step: 42000 Progress: 42.0% Elapsed: 9:45:32 temperature: no ada_p: No Discriminator_loss: 0.856778 Generator_loss: 0.808186
[INFO] 2020-09-17 23:30:30 > Start Evaluation (42000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 23:32:50 > F_8 score (Step: 42000, Using test images): 0.9751740505995607
[INFO] 2020-09-17 23:32:50 > F_1/8 score (Step: 42000, Using test images): 0.9832191405596655
[INFO] 2020-09-17 23:32:50 > FID score (Step: 42000, Using test moments): 13.127245718530162
[INFO] 2020-09-17 23:32:50 > Inception score (Step: 42000, 10000 generated images): 9.114904403686523
[INFO] 2020-09-17 23:32:50 > Best FID score (Step: 42000, Using test moments): 13.127245718530162
[INFO] 2020-09-17 23:32:52 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-17 23:34:09 > Step: 42100 Progress: 42.1% Elapsed: 9:49:11 temperature: no ada_p: No Discriminator_loss: 0.894126 Generator_loss: 1.28168
[INFO] 2020-09-17 23:35:26 > Step: 42200 Progress: 42.2% Elapsed: 9:50:28 temperature: no ada_p: No Discriminator_loss: 0.964705 Generator_loss: 1.4716
[INFO] 2020-09-17 23:36:44 > Step: 42300 Progress: 42.3% Elapsed: 9:51:46 temperature: no ada_p: No Discriminator_loss: 0.872178 Generator_loss: 0.652749
[INFO] 2020-09-17 23:38:03 > Step: 42400 Progress: 42.4% Elapsed: 9:53:05 temperature: no ada_p: No Discriminator_loss: 1.12366 Generator_loss: 0.476764
[INFO] 2020-09-17 23:39:19 > Step: 42500 Progress: 42.5% Elapsed: 9:54:21 temperature: no ada_p: No Discriminator_loss: 0.938747 Generator_loss: 0.900204
[INFO] 2020-09-17 23:40:31 > Step: 42600 Progress: 42.6% Elapsed: 9:55:33 temperature: no ada_p: No Discriminator_loss: 1.07278 Generator_loss: 1.55784
[INFO] 2020-09-17 23:41:46 > Step: 42700 Progress: 42.7% Elapsed: 9:56:48 temperature: no ada_p: No Discriminator_loss: 1.05454 Generator_loss: 1.26622
[INFO] 2020-09-17 23:43:03 > Step: 42800 Progress: 42.8% Elapsed: 9:58:05 temperature: no ada_p: No Discriminator_loss: 1.03865 Generator_loss: 0.841896
[INFO] 2020-09-17 23:44:20 > Step: 42900 Progress: 42.9% Elapsed: 9:59:23 temperature: no ada_p: No Discriminator_loss: 0.857299 Generator_loss: 1.1995
[INFO] 2020-09-17 23:45:37 > Step: 43000 Progress: 43.0% Elapsed: 10:00:40 temperature: no ada_p: No Discriminator_loss: 0.884513 Generator_loss: 1.14572
[INFO] 2020-09-17 23:46:57 > Step: 43100 Progress: 43.1% Elapsed: 10:01:59 temperature: no ada_p: No Discriminator_loss: 1.02424 Generator_loss: 1.88753
[INFO] 2020-09-17 23:48:15 > Step: 43200 Progress: 43.2% Elapsed: 10:03:17 temperature: no ada_p: No Discriminator_loss: 0.80813 Generator_loss: -0.21273
[INFO] 2020-09-17 23:49:35 > Step: 43300 Progress: 43.3% Elapsed: 10:04:37 temperature: no ada_p: No Discriminator_loss: 0.914608 Generator_loss: 0.888811
[INFO] 2020-09-17 23:50:53 > Step: 43400 Progress: 43.4% Elapsed: 10:05:55 temperature: no ada_p: No Discriminator_loss: 0.88308 Generator_loss: 1.08971
[INFO] 2020-09-17 23:52:05 > Step: 43500 Progress: 43.5% Elapsed: 10:07:07 temperature: no ada_p: No Discriminator_loss: 1.07166 Generator_loss: 0.916758
[INFO] 2020-09-17 23:53:16 > Step: 43600 Progress: 43.6% Elapsed: 10:08:18 temperature: no ada_p: No Discriminator_loss: 0.865759 Generator_loss: 0.763205
[INFO] 2020-09-17 23:54:35 > Step: 43700 Progress: 43.7% Elapsed: 10:09:37 temperature: no ada_p: No Discriminator_loss: 0.919686 Generator_loss: 1.06546
[INFO] 2020-09-17 23:55:51 > Step: 43800 Progress: 43.8% Elapsed: 10:10:54 temperature: no ada_p: No Discriminator_loss: 0.912843 Generator_loss: 0.750529
[INFO] 2020-09-17 23:57:10 > Step: 43900 Progress: 43.9% Elapsed: 10:12:12 temperature: no ada_p: No Discriminator_loss: 1.02005 Generator_loss: 0.86366
[INFO] 2020-09-17 23:58:28 > Step: 44000 Progress: 44.0% Elapsed: 10:13:30 temperature: no ada_p: No Discriminator_loss: 0.770228 Generator_loss: 1.16905
[INFO] 2020-09-17 23:58:28 > Start Evaluation (44000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:00:47 > F_8 score (Step: 44000, Using test images): 0.986441283119797
[INFO] 2020-09-18 00:00:47 > F_1/8 score (Step: 44000, Using test images): 0.9844830556362428
[INFO] 2020-09-18 00:00:47 > FID score (Step: 44000, Using test moments): 12.788627845611074
[INFO] 2020-09-18 00:00:47 > Inception score (Step: 44000, 10000 generated images): 9.164839744567871
[INFO] 2020-09-18 00:00:47 > Best FID score (Step: 44000, Using test moments): 12.788627845611074
[INFO] 2020-09-18 00:00:49 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:02:07 > Step: 44100 Progress: 44.1% Elapsed: 10:17:09 temperature: no ada_p: No Discriminator_loss: 0.977856 Generator_loss: 1.4265
[INFO] 2020-09-18 00:03:24 > Step: 44200 Progress: 44.2% Elapsed: 10:18:27 temperature: no ada_p: No Discriminator_loss: 0.944536 Generator_loss: 0.61597
[INFO] 2020-09-18 00:04:43 > Step: 44300 Progress: 44.3% Elapsed: 10:19:45 temperature: no ada_p: No Discriminator_loss: 0.748537 Generator_loss: 1.23911
[INFO] 2020-09-18 00:05:55 > Step: 44400 Progress: 44.4% Elapsed: 10:20:57 temperature: no ada_p: No Discriminator_loss: 0.911169 Generator_loss: 1.22751
[INFO] 2020-09-18 00:07:08 > Step: 44500 Progress: 44.5% Elapsed: 10:22:10 temperature: no ada_p: No Discriminator_loss: 1.06401 Generator_loss: 0.155276
[INFO] 2020-09-18 00:08:26 > Step: 44600 Progress: 44.6% Elapsed: 10:23:28 temperature: no ada_p: No Discriminator_loss: 0.929001 Generator_loss: 0.595336
[INFO] 2020-09-18 00:09:43 > Step: 44700 Progress: 44.7% Elapsed: 10:24:45 temperature: no ada_p: No Discriminator_loss: 0.77368 Generator_loss: 1.7797
[INFO] 2020-09-18 00:11:01 > Step: 44800 Progress: 44.8% Elapsed: 10:26:03 temperature: no ada_p: No Discriminator_loss: 0.78642 Generator_loss: 0.617174
[INFO] 2020-09-18 00:12:20 > Step: 44900 Progress: 44.9% Elapsed: 10:27:22 temperature: no ada_p: No Discriminator_loss: 0.957582 Generator_loss: 0.554412
[INFO] 2020-09-18 00:13:39 > Step: 45000 Progress: 45.0% Elapsed: 10:28:41 temperature: no ada_p: No Discriminator_loss: 1.03923 Generator_loss: 1.55817
[INFO] 2020-09-18 00:14:57 > Step: 45100 Progress: 45.1% Elapsed: 10:30:00 temperature: no ada_p: No Discriminator_loss: 0.778201 Generator_loss: 1.19041
[INFO] 2020-09-18 00:16:16 > Step: 45200 Progress: 45.2% Elapsed: 10:31:18 temperature: no ada_p: No Discriminator_loss: 0.833596 Generator_loss: 0.683721
[INFO] 2020-09-18 00:17:33 > Step: 45300 Progress: 45.3% Elapsed: 10:32:35 temperature: no ada_p: No Discriminator_loss: 0.982292 Generator_loss: 1.05569
[INFO] 2020-09-18 00:18:50 > Step: 45400 Progress: 45.4% Elapsed: 10:33:52 temperature: no ada_p: No Discriminator_loss: 0.864159 Generator_loss: 1.32869
[INFO] 2020-09-18 00:20:09 > Step: 45500 Progress: 45.5% Elapsed: 10:35:11 temperature: no ada_p: No Discriminator_loss: 0.679533 Generator_loss: 1.53287
[INFO] 2020-09-18 00:21:26 > Step: 45600 Progress: 45.6% Elapsed: 10:36:28 temperature: no ada_p: No Discriminator_loss: 0.888577 Generator_loss: 0.599872
[INFO] 2020-09-18 00:22:44 > Step: 45700 Progress: 45.7% Elapsed: 10:37:46 temperature: no ada_p: No Discriminator_loss: 1.16418 Generator_loss: 0.835269
[INFO] 2020-09-18 00:24:03 > Step: 45800 Progress: 45.8% Elapsed: 10:39:05 temperature: no ada_p: No Discriminator_loss: 0.722867 Generator_loss: 0.955645
[INFO] 2020-09-18 00:25:21 > Step: 45900 Progress: 45.9% Elapsed: 10:40:23 temperature: no ada_p: No Discriminator_loss: 0.910122 Generator_loss: 1.01236
[INFO] 2020-09-18 00:26:39 > Step: 46000 Progress: 46.0% Elapsed: 10:41:41 temperature: no ada_p: No Discriminator_loss: 1.31708 Generator_loss: 1.59503
[INFO] 2020-09-18 00:26:39 > Start Evaluation (46000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:28:58 > F_8 score (Step: 46000, Using test images): 0.9861519107963133
[INFO] 2020-09-18 00:28:58 > F_1/8 score (Step: 46000, Using test images): 0.9848094566812443
[INFO] 2020-09-18 00:28:58 > FID score (Step: 46000, Using test moments): 12.649685467294717
[INFO] 2020-09-18 00:28:58 > Inception score (Step: 46000, 10000 generated images): 9.243788719177246
[INFO] 2020-09-18 00:28:58 > Best FID score (Step: 46000, Using test moments): 12.649685467294717
[INFO] 2020-09-18 00:29:00 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:30:19 > Step: 46100 Progress: 46.1% Elapsed: 10:45:21 temperature: no ada_p: No Discriminator_loss: 0.929713 Generator_loss: 1.14839
[INFO] 2020-09-18 00:31:32 > Step: 46200 Progress: 46.2% Elapsed: 10:46:34 temperature: no ada_p: No Discriminator_loss: 0.992742 Generator_loss: 0.589361
[INFO] 2020-09-18 00:32:41 > Step: 46300 Progress: 46.3% Elapsed: 10:47:43 temperature: no ada_p: No Discriminator_loss: 0.977232 Generator_loss: 1.59567
[INFO] 2020-09-18 00:33:57 > Step: 46400 Progress: 46.4% Elapsed: 10:48:59 temperature: no ada_p: No Discriminator_loss: 0.966601 Generator_loss: 1.1268
[INFO] 2020-09-18 00:35:10 > Step: 46500 Progress: 46.5% Elapsed: 10:50:12 temperature: no ada_p: No Discriminator_loss: 0.98287 Generator_loss: 0.846642
[INFO] 2020-09-18 00:36:20 > Step: 46600 Progress: 46.6% Elapsed: 10:51:22 temperature: no ada_p: No Discriminator_loss: 0.855771 Generator_loss: 1.11278
[INFO] 2020-09-18 00:37:36 > Step: 46700 Progress: 46.7% Elapsed: 10:52:38 temperature: no ada_p: No Discriminator_loss: 0.928792 Generator_loss: 1.04312
[INFO] 2020-09-18 00:38:55 > Step: 46800 Progress: 46.8% Elapsed: 10:53:57 temperature: no ada_p: No Discriminator_loss: 0.958588 Generator_loss: 0.443845
[INFO] 2020-09-18 00:40:13 > Step: 46900 Progress: 46.9% Elapsed: 10:55:15 temperature: no ada_p: No Discriminator_loss: 0.667707 Generator_loss: 0.725513
[INFO] 2020-09-18 00:41:31 > Step: 47000 Progress: 47.0% Elapsed: 10:56:33 temperature: no ada_p: No Discriminator_loss: 0.960092 Generator_loss: 1.48685
[INFO] 2020-09-18 00:42:49 > Step: 47100 Progress: 47.1% Elapsed: 10:57:51 temperature: no ada_p: No Discriminator_loss: 1.18192 Generator_loss: 1.85837
[INFO] 2020-09-18 00:44:08 > Step: 47200 Progress: 47.2% Elapsed: 10:59:10 temperature: no ada_p: No Discriminator_loss: 0.844577 Generator_loss: 1.72004
[INFO] 2020-09-18 00:45:26 > Step: 47300 Progress: 47.3% Elapsed: 11:00:28 temperature: no ada_p: No Discriminator_loss: 0.860361 Generator_loss: 1.87315
[INFO] 2020-09-18 00:46:43 > Step: 47400 Progress: 47.4% Elapsed: 11:01:45 temperature: no ada_p: No Discriminator_loss: 0.660569 Generator_loss: 0.971391
[INFO] 2020-09-18 00:48:02 > Step: 47500 Progress: 47.5% Elapsed: 11:03:04 temperature: no ada_p: No Discriminator_loss: 0.970485 Generator_loss: 1.32531
[INFO] 2020-09-18 00:49:20 > Step: 47600 Progress: 47.6% Elapsed: 11:04:23 temperature: no ada_p: No Discriminator_loss: 0.803201 Generator_loss: 0.507962
[INFO] 2020-09-18 00:50:39 > Step: 47700 Progress: 47.7% Elapsed: 11:05:41 temperature: no ada_p: No Discriminator_loss: 0.884393 Generator_loss: 1.55505
[INFO] 2020-09-18 00:51:57 > Step: 47800 Progress: 47.8% Elapsed: 11:06:59 temperature: no ada_p: No Discriminator_loss: 0.956649 Generator_loss: 0.421266
[INFO] 2020-09-18 00:53:14 > Step: 47900 Progress: 47.9% Elapsed: 11:08:16 temperature: no ada_p: No Discriminator_loss: 0.803727 Generator_loss: 0.983534
[INFO] 2020-09-18 00:54:33 > Step: 48000 Progress: 48.0% Elapsed: 11:09:35 temperature: no ada_p: No Discriminator_loss: 0.845976 Generator_loss: 0.895857
[INFO] 2020-09-18 00:54:33 > Start Evaluation (48000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:56:53 > F_8 score (Step: 48000, Using test images): 0.9847794077751292
[INFO] 2020-09-18 00:56:53 > F_1/8 score (Step: 48000, Using test images): 0.9913339687858477
[INFO] 2020-09-18 00:56:53 > FID score (Step: 48000, Using test moments): 12.175937414823693
[INFO] 2020-09-18 00:56:53 > Inception score (Step: 48000, 10000 generated images): 9.26723861694336
[INFO] 2020-09-18 00:56:53 > Best FID score (Step: 48000, Using test moments): 12.175937414823693
[INFO] 2020-09-18 00:56:55 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 00:58:04 > Step: 48100 Progress: 48.1% Elapsed: 11:13:06 temperature: no ada_p: No Discriminator_loss: 0.936482 Generator_loss: 0.4784
[INFO] 2020-09-18 00:59:19 > Step: 48200 Progress: 48.2% Elapsed: 11:14:21 temperature: no ada_p: No Discriminator_loss: 0.947689 Generator_loss: 0.199133
[INFO] 2020-09-18 01:00:36 > Step: 48300 Progress: 48.3% Elapsed: 11:15:38 temperature: no ada_p: No Discriminator_loss: 1.21674 Generator_loss: 0.741848
[INFO] 2020-09-18 01:01:55 > Step: 48400 Progress: 48.4% Elapsed: 11:16:57 temperature: no ada_p: No Discriminator_loss: 0.826824 Generator_loss: 1.10492
[INFO] 2020-09-18 01:03:12 > Step: 48500 Progress: 48.5% Elapsed: 11:18:15 temperature: no ada_p: No Discriminator_loss: 0.939689 Generator_loss: 0.46362
[INFO] 2020-09-18 01:04:30 > Step: 48600 Progress: 48.6% Elapsed: 11:19:32 temperature: no ada_p: No Discriminator_loss: 1.19736 Generator_loss: 0.674777
[INFO] 2020-09-18 01:05:48 > Step: 48700 Progress: 48.7% Elapsed: 11:20:50 temperature: no ada_p: No Discriminator_loss: 0.880098 Generator_loss: 1.3483
[INFO] 2020-09-18 01:07:06 > Step: 48800 Progress: 48.8% Elapsed: 11:22:08 temperature: no ada_p: No Discriminator_loss: 0.999314 Generator_loss: 1.38969
[INFO] 2020-09-18 01:08:24 > Step: 48900 Progress: 48.9% Elapsed: 11:23:26 temperature: no ada_p: No Discriminator_loss: 0.890853 Generator_loss: 0.942931
[INFO] 2020-09-18 01:09:42 > Step: 49000 Progress: 49.0% Elapsed: 11:24:44 temperature: no ada_p: No Discriminator_loss: 0.765938 Generator_loss: 0.990598
[INFO] 2020-09-18 01:11:00 > Step: 49100 Progress: 49.1% Elapsed: 11:26:02 temperature: no ada_p: No Discriminator_loss: 1.04488 Generator_loss: 0.841344
[INFO] 2020-09-18 01:12:18 > Step: 49200 Progress: 49.2% Elapsed: 11:27:20 temperature: no ada_p: No Discriminator_loss: 0.826152 Generator_loss: 1.09468
[INFO] 2020-09-18 01:13:34 > Step: 49300 Progress: 49.3% Elapsed: 11:28:37 temperature: no ada_p: No Discriminator_loss: 1.17898 Generator_loss: 1.34272
[INFO] 2020-09-18 01:14:53 > Step: 49400 Progress: 49.4% Elapsed: 11:29:56 temperature: no ada_p: No Discriminator_loss: 0.940551 Generator_loss: 0.676438
[INFO] 2020-09-18 01:16:12 > Step: 49500 Progress: 49.5% Elapsed: 11:31:14 temperature: no ada_p: No Discriminator_loss: 1.13478 Generator_loss: 1.48358
[INFO] 2020-09-18 01:17:29 > Step: 49600 Progress: 49.6% Elapsed: 11:32:31 temperature: no ada_p: No Discriminator_loss: 0.917131 Generator_loss: 1.13318
[INFO] 2020-09-18 01:18:43 > Step: 49700 Progress: 49.7% Elapsed: 11:33:45 temperature: no ada_p: No Discriminator_loss: 1.10521 Generator_loss: 2.45066
[INFO] 2020-09-18 01:19:52 > Step: 49800 Progress: 49.8% Elapsed: 11:34:54 temperature: no ada_p: No Discriminator_loss: 0.983247 Generator_loss: 1.54184
[INFO] 2020-09-18 01:21:07 > Step: 49900 Progress: 49.9% Elapsed: 11:36:09 temperature: no ada_p: No Discriminator_loss: 0.861678 Generator_loss: 0.823112
[INFO] 2020-09-18 01:22:26 > Step: 50000 Progress: 50.0% Elapsed: 11:37:28 temperature: no ada_p: No Discriminator_loss: 1.12406 Generator_loss: 2.21812
[INFO] 2020-09-18 01:22:26 > Start Evaluation (50000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 01:24:40 > F_8 score (Step: 50000, Using test images): 0.9785220180154393
[INFO] 2020-09-18 01:24:40 > F_1/8 score (Step: 50000, Using test images): 0.9877680504773071
[INFO] 2020-09-18 01:24:40 > FID score (Step: 50000, Using test moments): 12.247047801230906
[INFO] 2020-09-18 01:24:40 > Inception score (Step: 50000, 10000 generated images): 9.097704887390137
[INFO] 2020-09-18 01:24:40 > Best FID score (Step: 48000, Using test moments): 12.175937414823693
[INFO] 2020-09-18 01:24:41 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 01:25:59 > Step: 50100 Progress: 50.1% Elapsed: 11:41:01 temperature: no ada_p: No Discriminator_loss: 2.03875 Generator_loss: 1.29634
[INFO] 2020-09-18 01:27:16 > Step: 50200 Progress: 50.2% Elapsed: 11:42:18 temperature: no ada_p: No Discriminator_loss: 0.875238 Generator_loss: 0.430693
[INFO] 2020-09-18 01:28:34 > Step: 50300 Progress: 50.3% Elapsed: 11:43:36 temperature: no ada_p: No Discriminator_loss: 0.874959 Generator_loss: 0.895636
[INFO] 2020-09-18 01:29:52 > Step: 50400 Progress: 50.4% Elapsed: 11:44:54 temperature: no ada_p: No Discriminator_loss: 1.24401 Generator_loss: 1.07633
[INFO] 2020-09-18 01:31:11 > Step: 50500 Progress: 50.5% Elapsed: 11:46:13 temperature: no ada_p: No Discriminator_loss: 1.18366 Generator_loss: 0.578855
[INFO] 2020-09-18 01:32:30 > Step: 50600 Progress: 50.6% Elapsed: 11:47:32 temperature: no ada_p: No Discriminator_loss: 0.586924 Generator_loss: 1.54909
[INFO] 2020-09-18 01:33:48 > Step: 50700 Progress: 50.7% Elapsed: 11:48:50 temperature: no ada_p: No Discriminator_loss: 0.791905 Generator_loss: 0.968055
[INFO] 2020-09-18 01:35:06 > Step: 50800 Progress: 50.8% Elapsed: 11:50:08 temperature: no ada_p: No Discriminator_loss: 1.04142 Generator_loss: 0.771788
[INFO] 2020-09-18 01:36:23 > Step: 50900 Progress: 50.9% Elapsed: 11:51:26 temperature: no ada_p: No Discriminator_loss: 0.896702 Generator_loss: -0.133187
[INFO] 2020-09-18 01:37:42 > Step: 51000 Progress: 51.0% Elapsed: 11:52:44 temperature: no ada_p: No Discriminator_loss: 0.79614 Generator_loss: 0.557285
[INFO] 2020-09-18 01:39:00 > Step: 51100 Progress: 51.1% Elapsed: 11:54:02 temperature: no ada_p: No Discriminator_loss: 0.892849 Generator_loss: 0.731155
[INFO] 2020-09-18 01:40:18 > Step: 51200 Progress: 51.2% Elapsed: 11:55:20 temperature: no ada_p: No Discriminator_loss: 0.718345 Generator_loss: 0.867288
[INFO] 2020-09-18 01:41:36 > Step: 51300 Progress: 51.3% Elapsed: 11:56:38 temperature: no ada_p: No Discriminator_loss: 0.871851 Generator_loss: 0.0269248
[INFO] 2020-09-18 01:42:54 > Step: 51400 Progress: 51.4% Elapsed: 11:57:56 temperature: no ada_p: No Discriminator_loss: 1.28507 Generator_loss: 0.880197
[INFO] 2020-09-18 01:44:12 > Step: 51500 Progress: 51.5% Elapsed: 11:59:14 temperature: no ada_p: No Discriminator_loss: 0.88395 Generator_loss: 0.88533
[INFO] 2020-09-18 01:45:31 > Step: 51600 Progress: 51.6% Elapsed: 12:00:33 temperature: no ada_p: No Discriminator_loss: 0.921011 Generator_loss: 1.41371
[INFO] 2020-09-18 01:46:48 > Step: 51700 Progress: 51.7% Elapsed: 12:01:50 temperature: no ada_p: No Discriminator_loss: 0.89671 Generator_loss: 1.09485
[INFO] 2020-09-18 01:48:07 > Step: 51800 Progress: 51.8% Elapsed: 12:03:09 temperature: no ada_p: No Discriminator_loss: 0.901306 Generator_loss: 0.904023
[INFO] 2020-09-18 01:49:19 > Step: 51900 Progress: 51.9% Elapsed: 12:04:21 temperature: no ada_p: No Discriminator_loss: 0.938319 Generator_loss: 0.591528
[INFO] 2020-09-18 01:50:30 > Step: 52000 Progress: 52.0% Elapsed: 12:05:32 temperature: no ada_p: No Discriminator_loss: 0.879218 Generator_loss: 1.30955
[INFO] 2020-09-18 01:50:30 > Start Evaluation (52000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 01:52:49 > F_8 score (Step: 52000, Using test images): 0.9841415991034622
[INFO] 2020-09-18 01:52:49 > F_1/8 score (Step: 52000, Using test images): 0.9871306551829572
[INFO] 2020-09-18 01:52:49 > FID score (Step: 52000, Using test moments): 12.243145876250082
[INFO] 2020-09-18 01:52:49 > Inception score (Step: 52000, 10000 generated images): 9.23721694946289
[INFO] 2020-09-18 01:52:49 > Best FID score (Step: 48000, Using test moments): 12.175937414823693
[INFO] 2020-09-18 01:52:51 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 01:54:08 > Step: 52100 Progress: 52.1% Elapsed: 12:09:10 temperature: no ada_p: No Discriminator_loss: 0.94176 Generator_loss: 0.793528
[INFO] 2020-09-18 01:55:26 > Step: 52200 Progress: 52.2% Elapsed: 12:10:28 temperature: no ada_p: No Discriminator_loss: 0.76901 Generator_loss: 1.76334
[INFO] 2020-09-18 01:56:44 > Step: 52300 Progress: 52.3% Elapsed: 12:11:46 temperature: no ada_p: No Discriminator_loss: 0.834914 Generator_loss: 0.556594
[INFO] 2020-09-18 01:58:03 > Step: 52400 Progress: 52.4% Elapsed: 12:13:05 temperature: no ada_p: No Discriminator_loss: 0.898017 Generator_loss: 1.41942
[INFO] 2020-09-18 01:59:21 > Step: 52500 Progress: 52.5% Elapsed: 12:14:23 temperature: no ada_p: No Discriminator_loss: 0.77874 Generator_loss: 1.08617
[INFO] 2020-09-18 02:00:39 > Step: 52600 Progress: 52.6% Elapsed: 12:15:41 temperature: no ada_p: No Discriminator_loss: 1.01481 Generator_loss: 1.00951
[INFO] 2020-09-18 02:01:53 > Step: 52700 Progress: 52.7% Elapsed: 12:16:55 temperature: no ada_p: No Discriminator_loss: 1.08145 Generator_loss: 1.61694
[INFO] 2020-09-18 02:03:03 > Step: 52800 Progress: 52.8% Elapsed: 12:18:05 temperature: no ada_p: No Discriminator_loss: 0.684014 Generator_loss: 1.78657
[INFO] 2020-09-18 02:04:18 > Step: 52900 Progress: 52.9% Elapsed: 12:19:20 temperature: no ada_p: No Discriminator_loss: 1.04786 Generator_loss: 1.81007
[INFO] 2020-09-18 02:05:35 > Step: 53000 Progress: 53.0% Elapsed: 12:20:38 temperature: no ada_p: No Discriminator_loss: 0.921617 Generator_loss: 1.11187
[INFO] 2020-09-18 02:06:53 > Step: 53100 Progress: 53.1% Elapsed: 12:21:55 temperature: no ada_p: No Discriminator_loss: 0.823577 Generator_loss: 1.40973
[INFO] 2020-09-18 02:08:12 > Step: 53200 Progress: 53.2% Elapsed: 12:23:14 temperature: no ada_p: No Discriminator_loss: 0.760924 Generator_loss: 1.21749
[INFO] 2020-09-18 02:09:30 > Step: 53300 Progress: 53.3% Elapsed: 12:24:32 temperature: no ada_p: No Discriminator_loss: 0.897117 Generator_loss: 0.823435
[INFO] 2020-09-18 02:10:48 > Step: 53400 Progress: 53.4% Elapsed: 12:25:51 temperature: no ada_p: No Discriminator_loss: 1.05972 Generator_loss: 0.0365482
[INFO] 2020-09-18 02:12:07 > Step: 53500 Progress: 53.5% Elapsed: 12:27:09 temperature: no ada_p: No Discriminator_loss: 0.704164 Generator_loss: 1.34027
[INFO] 2020-09-18 02:13:24 > Step: 53600 Progress: 53.6% Elapsed: 12:28:27 temperature: no ada_p: No Discriminator_loss: 0.802543 Generator_loss: 1.24506
[INFO] 2020-09-18 02:14:39 > Step: 53700 Progress: 53.7% Elapsed: 12:29:41 temperature: no ada_p: No Discriminator_loss: 1.25654 Generator_loss: 0.280275
[INFO] 2020-09-18 02:15:48 > Step: 53800 Progress: 53.8% Elapsed: 12:30:50 temperature: no ada_p: No Discriminator_loss: 1.29576 Generator_loss: -0.0230634
[INFO] 2020-09-18 02:17:05 > Step: 53900 Progress: 53.9% Elapsed: 12:32:07 temperature: no ada_p: No Discriminator_loss: 0.941817 Generator_loss: 1.47813
[INFO] 2020-09-18 02:18:24 > Step: 54000 Progress: 54.0% Elapsed: 12:33:26 temperature: no ada_p: No Discriminator_loss: 0.857056 Generator_loss: 0.863061
[INFO] 2020-09-18 02:18:24 > Start Evaluation (54000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 02:20:44 > F_8 score (Step: 54000, Using test images): 0.9806865292560606
[INFO] 2020-09-18 02:20:44 > F_1/8 score (Step: 54000, Using test images): 0.9889668976919707
[INFO] 2020-09-18 02:20:44 > FID score (Step: 54000, Using test moments): 12.066045168637402
[INFO] 2020-09-18 02:20:44 > Inception score (Step: 54000, 10000 generated images): 9.408490180969238
[INFO] 2020-09-18 02:20:44 > Best FID score (Step: 54000, Using test moments): 12.066045168637402
[INFO] 2020-09-18 02:20:46 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 02:22:06 > Step: 54100 Progress: 54.1% Elapsed: 12:37:08 temperature: no ada_p: No Discriminator_loss: 0.826576 Generator_loss: 1.10796
[INFO] 2020-09-18 02:23:23 > Step: 54200 Progress: 54.2% Elapsed: 12:38:25 temperature: no ada_p: No Discriminator_loss: 0.687679 Generator_loss: 1.40182
[INFO] 2020-09-18 02:24:42 > Step: 54300 Progress: 54.3% Elapsed: 12:39:44 temperature: no ada_p: No Discriminator_loss: 0.71934 Generator_loss: 1.49322
[INFO] 2020-09-18 02:26:00 > Step: 54400 Progress: 54.4% Elapsed: 12:41:02 temperature: no ada_p: No Discriminator_loss: 0.820821 Generator_loss: 1.29127
[INFO] 2020-09-18 02:27:17 > Step: 54500 Progress: 54.5% Elapsed: 12:42:19 temperature: no ada_p: No Discriminator_loss: 1.14105 Generator_loss: 1.66627
[INFO] 2020-09-18 02:28:34 > Step: 54600 Progress: 54.6% Elapsed: 12:43:36 temperature: no ada_p: No Discriminator_loss: 0.81076 Generator_loss: 1.36403
[INFO] 2020-09-18 02:29:53 > Step: 54700 Progress: 54.7% Elapsed: 12:44:55 temperature: no ada_p: No Discriminator_loss: 0.740846 Generator_loss: 0.754555
[INFO] 2020-09-18 02:31:12 > Step: 54800 Progress: 54.8% Elapsed: 12:46:14 temperature: no ada_p: No Discriminator_loss: 1.02546 Generator_loss: 1.59877
[INFO] 2020-09-18 02:32:31 > Step: 54900 Progress: 54.9% Elapsed: 12:47:33 temperature: no ada_p: No Discriminator_loss: 1.05745 Generator_loss: 0.510492
[INFO] 2020-09-18 02:33:50 > Step: 55000 Progress: 55.0% Elapsed: 12:48:52 temperature: no ada_p: No Discriminator_loss: 0.536616 Generator_loss: 1.73358
[INFO] 2020-09-18 02:35:10 > Step: 55100 Progress: 55.1% Elapsed: 12:50:12 temperature: no ada_p: No Discriminator_loss: 0.90089 Generator_loss: 0.763018
[INFO] 2020-09-18 02:36:29 > Step: 55200 Progress: 55.2% Elapsed: 12:51:31 temperature: no ada_p: No Discriminator_loss: 0.893545 Generator_loss: 1.04366
[INFO] 2020-09-18 02:37:48 > Step: 55300 Progress: 55.3% Elapsed: 12:52:50 temperature: no ada_p: No Discriminator_loss: 0.949175 Generator_loss: 1.40325
[INFO] 2020-09-18 02:39:07 > Step: 55400 Progress: 55.4% Elapsed: 12:54:09 temperature: no ada_p: No Discriminator_loss: 0.777697 Generator_loss: 0.787588
[INFO] 2020-09-18 02:40:25 > Step: 55500 Progress: 55.5% Elapsed: 12:55:27 temperature: no ada_p: No Discriminator_loss: 0.671553 Generator_loss: 0.909948
[INFO] 2020-09-18 02:41:35 > Step: 55600 Progress: 55.6% Elapsed: 12:56:37 temperature: no ada_p: No Discriminator_loss: 0.871352 Generator_loss: 1.2842
[INFO] 2020-09-18 02:42:48 > Step: 55700 Progress: 55.7% Elapsed: 12:57:50 temperature: no ada_p: No Discriminator_loss: 0.754769 Generator_loss: 0.809241
[INFO] 2020-09-18 02:44:07 > Step: 55800 Progress: 55.8% Elapsed: 12:59:09 temperature: no ada_p: No Discriminator_loss: 0.73939 Generator_loss: 1.12145
[INFO] 2020-09-18 02:45:20 > Step: 55900 Progress: 55.9% Elapsed: 13:00:23 temperature: no ada_p: No Discriminator_loss: 0.863187 Generator_loss: 0.522337
[INFO] 2020-09-18 02:46:31 > Step: 56000 Progress: 56.0% Elapsed: 13:01:33 temperature: no ada_p: No Discriminator_loss: 0.795473 Generator_loss: 1.23486
[INFO] 2020-09-18 02:46:31 > Start Evaluation (56000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 02:48:51 > F_8 score (Step: 56000, Using test images): 0.9884707471129303
[INFO] 2020-09-18 02:48:51 > F_1/8 score (Step: 56000, Using test images): 0.9859622110587288
[INFO] 2020-09-18 02:48:51 > FID score (Step: 56000, Using test moments): 12.017754232541336
[INFO] 2020-09-18 02:48:51 > Inception score (Step: 56000, 10000 generated images): 9.627158164978027
[INFO] 2020-09-18 02:48:51 > Best FID score (Step: 56000, Using test moments): 12.017754232541336
[INFO] 2020-09-18 02:48:53 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 02:50:10 > Step: 56100 Progress: 56.1% Elapsed: 13:05:12 temperature: no ada_p: No Discriminator_loss: 0.835938 Generator_loss: 0.480122
[INFO] 2020-09-18 02:51:27 > Step: 56200 Progress: 56.2% Elapsed: 13:06:29 temperature: no ada_p: No Discriminator_loss: 0.829167 Generator_loss: 1.21014
[INFO] 2020-09-18 02:52:45 > Step: 56300 Progress: 56.3% Elapsed: 13:07:47 temperature: no ada_p: No Discriminator_loss: 0.715498 Generator_loss: 0.939557
[INFO] 2020-09-18 02:54:04 > Step: 56400 Progress: 56.4% Elapsed: 13:09:06 temperature: no ada_p: No Discriminator_loss: 0.992583 Generator_loss: 0.192222
[INFO] 2020-09-18 02:55:21 > Step: 56500 Progress: 56.5% Elapsed: 13:10:23 temperature: no ada_p: No Discriminator_loss: 1.09799 Generator_loss: 1.08816
[INFO] 2020-09-18 02:56:39 > Step: 56600 Progress: 56.6% Elapsed: 13:11:41 temperature: no ada_p: No Discriminator_loss: 0.822909 Generator_loss: 0.86696
[INFO] 2020-09-18 02:57:57 > Step: 56700 Progress: 56.7% Elapsed: 13:12:59 temperature: no ada_p: No Discriminator_loss: 0.833829 Generator_loss: 1.14475
[INFO] 2020-09-18 02:59:16 > Step: 56800 Progress: 56.8% Elapsed: 13:14:18 temperature: no ada_p: No Discriminator_loss: 0.929278 Generator_loss: 0.391648
[INFO] 2020-09-18 03:00:35 > Step: 56900 Progress: 56.9% Elapsed: 13:15:37 temperature: no ada_p: No Discriminator_loss: 0.906792 Generator_loss: 1.4042
[INFO] 2020-09-18 03:01:52 > Step: 57000 Progress: 57.0% Elapsed: 13:16:54 temperature: no ada_p: No Discriminator_loss: 0.856221 Generator_loss: 1.3277
[INFO] 2020-09-18 03:03:11 > Step: 57100 Progress: 57.1% Elapsed: 13:18:13 temperature: no ada_p: No Discriminator_loss: 1.09501 Generator_loss: 0.647246
[INFO] 2020-09-18 03:04:30 > Step: 57200 Progress: 57.2% Elapsed: 13:19:32 temperature: no ada_p: No Discriminator_loss: 0.749118 Generator_loss: 1.80795
[INFO] 2020-09-18 03:05:49 > Step: 57300 Progress: 57.3% Elapsed: 13:20:51 temperature: no ada_p: No Discriminator_loss: 0.862621 Generator_loss: 0.713025
[INFO] 2020-09-18 03:06:59 > Step: 57400 Progress: 57.4% Elapsed: 13:22:01 temperature: no ada_p: No Discriminator_loss: 0.648244 Generator_loss: 1.45863
[INFO] 2020-09-18 03:08:08 > Step: 57500 Progress: 57.5% Elapsed: 13:23:10 temperature: no ada_p: No Discriminator_loss: 0.711095 Generator_loss: 1.24327
[INFO] 2020-09-18 03:09:26 > Step: 57600 Progress: 57.6% Elapsed: 13:24:28 temperature: no ada_p: No Discriminator_loss: 0.616426 Generator_loss: 0.87549
[INFO] 2020-09-18 03:10:43 > Step: 57700 Progress: 57.7% Elapsed: 13:25:45 temperature: no ada_p: No Discriminator_loss: 0.747691 Generator_loss: 1.45346
[INFO] 2020-09-18 03:12:02 > Step: 57800 Progress: 57.8% Elapsed: 13:27:05 temperature: no ada_p: No Discriminator_loss: 0.876961 Generator_loss: 0.991774
[INFO] 2020-09-18 03:13:21 > Step: 57900 Progress: 57.9% Elapsed: 13:28:23 temperature: no ada_p: No Discriminator_loss: 0.795964 Generator_loss: 1.25483
[INFO] 2020-09-18 03:14:41 > Step: 58000 Progress: 58.0% Elapsed: 13:29:43 temperature: no ada_p: No Discriminator_loss: 0.699156 Generator_loss: 1.36258
[INFO] 2020-09-18 03:14:41 > Start Evaluation (58000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 03:17:00 > F_8 score (Step: 58000, Using test images): 0.9863256541244356
[INFO] 2020-09-18 03:17:00 > F_1/8 score (Step: 58000, Using test images): 0.9900204721064005
[INFO] 2020-09-18 03:17:00 > FID score (Step: 58000, Using test moments): 11.91063715943011
[INFO] 2020-09-18 03:17:00 > Inception score (Step: 58000, 10000 generated images): 9.353551864624023
[INFO] 2020-09-18 03:17:00 > Best FID score (Step: 58000, Using test moments): 11.91063715943011
[INFO] 2020-09-18 03:17:02 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 03:18:20 > Step: 58100 Progress: 58.1% Elapsed: 13:33:22 temperature: no ada_p: No Discriminator_loss: 1.06149 Generator_loss: 1.17412
[INFO] 2020-09-18 03:19:38 > Step: 58200 Progress: 58.2% Elapsed: 13:34:41 temperature: no ada_p: No Discriminator_loss: 0.846542 Generator_loss: 1.54355
[INFO] 2020-09-18 03:20:55 > Step: 58300 Progress: 58.3% Elapsed: 13:35:57 temperature: no ada_p: No Discriminator_loss: 0.710288 Generator_loss: 1.52682
[INFO] 2020-09-18 03:22:12 > Step: 58400 Progress: 58.4% Elapsed: 13:37:14 temperature: no ada_p: No Discriminator_loss: 0.79397 Generator_loss: 1.35506
[INFO] 2020-09-18 03:23:31 > Step: 58500 Progress: 58.5% Elapsed: 13:38:33 temperature: no ada_p: No Discriminator_loss: 0.847847 Generator_loss: 1.18042
[INFO] 2020-09-18 03:24:49 > Step: 58600 Progress: 58.6% Elapsed: 13:39:51 temperature: no ada_p: No Discriminator_loss: 0.929932 Generator_loss: 1.0203
[INFO] 2020-09-18 03:26:08 > Step: 58700 Progress: 58.7% Elapsed: 13:41:10 temperature: no ada_p: No Discriminator_loss: 0.945903 Generator_loss: 1.45605
[INFO] 2020-09-18 03:27:27 > Step: 58800 Progress: 58.8% Elapsed: 13:42:29 temperature: no ada_p: No Discriminator_loss: 0.91589 Generator_loss: 1.57584
[INFO] 2020-09-18 03:28:41 > Step: 58900 Progress: 58.9% Elapsed: 13:43:43 temperature: no ada_p: No Discriminator_loss: 0.838229 Generator_loss: 1.86255
[INFO] 2020-09-18 03:29:50 > Step: 59000 Progress: 59.0% Elapsed: 13:44:52 temperature: no ada_p: No Discriminator_loss: 0.816902 Generator_loss: 0.533429
[INFO] 2020-09-18 03:31:08 > Step: 59100 Progress: 59.1% Elapsed: 13:46:10 temperature: no ada_p: No Discriminator_loss: 0.966873 Generator_loss: 2.02516
[INFO] 2020-09-18 03:32:21 > Step: 59200 Progress: 59.2% Elapsed: 13:47:23 temperature: no ada_p: No Discriminator_loss: 0.756989 Generator_loss: 0.506719
[INFO] 2020-09-18 03:33:32 > Step: 59300 Progress: 59.3% Elapsed: 13:48:35 temperature: no ada_p: No Discriminator_loss: 0.86461 Generator_loss: 0.844025
[INFO] 2020-09-18 03:34:47 > Step: 59400 Progress: 59.4% Elapsed: 13:49:49 temperature: no ada_p: No Discriminator_loss: 0.698424 Generator_loss: 1.2156
[INFO] 2020-09-18 03:36:03 > Step: 59500 Progress: 59.5% Elapsed: 13:51:05 temperature: no ada_p: No Discriminator_loss: 0.900089 Generator_loss: 1.78427
[INFO] 2020-09-18 03:37:22 > Step: 59600 Progress: 59.6% Elapsed: 13:52:24 temperature: no ada_p: No Discriminator_loss: 0.920673 Generator_loss: 1.49981
[INFO] 2020-09-18 03:38:39 > Step: 59700 Progress: 59.7% Elapsed: 13:53:41 temperature: no ada_p: No Discriminator_loss: 1.13143 Generator_loss: 0.719328
[INFO] 2020-09-18 03:39:57 > Step: 59800 Progress: 59.8% Elapsed: 13:54:59 temperature: no ada_p: No Discriminator_loss: 0.624802 Generator_loss: 1.57573
[INFO] 2020-09-18 03:41:15 > Step: 59900 Progress: 59.9% Elapsed: 13:56:17 temperature: no ada_p: No Discriminator_loss: 0.852327 Generator_loss: 1.70925
[INFO] 2020-09-18 03:42:36 > Step: 60000 Progress: 60.0% Elapsed: 13:57:38 temperature: no ada_p: No Discriminator_loss: 0.773597 Generator_loss: 1.78239
[INFO] 2020-09-18 03:42:36 > Start Evaluation (60000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 03:44:56 > F_8 score (Step: 60000, Using test images): 0.9824049025551927
[INFO] 2020-09-18 03:44:56 > F_1/8 score (Step: 60000, Using test images): 0.988080014819085
[INFO] 2020-09-18 03:44:56 > FID score (Step: 60000, Using test moments): 11.826548658556476
[INFO] 2020-09-18 03:44:56 > Inception score (Step: 60000, 10000 generated images): 9.400928497314453
[INFO] 2020-09-18 03:44:56 > Best FID score (Step: 60000, Using test moments): 11.826548658556476
[INFO] 2020-09-18 03:44:58 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 03:46:16 > Step: 60100 Progress: 60.1% Elapsed: 14:01:18 temperature: no ada_p: No Discriminator_loss: 0.929073 Generator_loss: 2.02452
[INFO] 2020-09-18 03:47:35 > Step: 60200 Progress: 60.2% Elapsed: 14:02:37 temperature: no ada_p: No Discriminator_loss: 0.839019 Generator_loss: 1.74494
[INFO] 2020-09-18 03:48:55 > Step: 60300 Progress: 60.3% Elapsed: 14:03:57 temperature: no ada_p: No Discriminator_loss: 0.867613 Generator_loss: 0.803885
[INFO] 2020-09-18 03:50:13 > Step: 60400 Progress: 60.4% Elapsed: 14:05:15 temperature: no ada_p: No Discriminator_loss: 0.946035 Generator_loss: 1.05602
[INFO] 2020-09-18 03:51:32 > Step: 60500 Progress: 60.5% Elapsed: 14:06:34 temperature: no ada_p: No Discriminator_loss: 0.759844 Generator_loss: 1.91905
[INFO] 2020-09-18 03:52:51 > Step: 60600 Progress: 60.6% Elapsed: 14:07:53 temperature: no ada_p: No Discriminator_loss: 0.704882 Generator_loss: 1.38031
[INFO] 2020-09-18 03:54:10 > Step: 60700 Progress: 60.7% Elapsed: 14:09:12 temperature: no ada_p: No Discriminator_loss: 0.630558 Generator_loss: 1.85584
[INFO] 2020-09-18 03:55:27 > Step: 60800 Progress: 60.8% Elapsed: 14:10:30 temperature: no ada_p: No Discriminator_loss: 0.907636 Generator_loss: 1.24592
[INFO] 2020-09-18 03:56:44 > Step: 60900 Progress: 60.9% Elapsed: 14:11:46 temperature: no ada_p: No Discriminator_loss: 0.675587 Generator_loss: 1.27682
[INFO] 2020-09-18 03:58:01 > Step: 61000 Progress: 61.0% Elapsed: 14:13:03 temperature: no ada_p: No Discriminator_loss: 0.825674 Generator_loss: 1.55857
[INFO] 2020-09-18 03:59:10 > Step: 61100 Progress: 61.1% Elapsed: 14:14:12 temperature: no ada_p: No Discriminator_loss: 0.57619 Generator_loss: 0.542615
[INFO] 2020-09-18 04:00:22 > Step: 61200 Progress: 61.2% Elapsed: 14:15:25 temperature: no ada_p: No Discriminator_loss: 0.616568 Generator_loss: 1.11088
[INFO] 2020-09-18 04:01:41 > Step: 61300 Progress: 61.3% Elapsed: 14:16:43 temperature: no ada_p: No Discriminator_loss: 0.777809 Generator_loss: 0.596487
[INFO] 2020-09-18 04:03:01 > Step: 61400 Progress: 61.4% Elapsed: 14:18:03 temperature: no ada_p: No Discriminator_loss: 1.00457 Generator_loss: 1.22309
[INFO] 2020-09-18 04:04:18 > Step: 61500 Progress: 61.5% Elapsed: 14:19:20 temperature: no ada_p: No Discriminator_loss: 1.09306 Generator_loss: 0.498024
[INFO] 2020-09-18 04:05:37 > Step: 61600 Progress: 61.6% Elapsed: 14:20:39 temperature: no ada_p: No Discriminator_loss: 0.811045 Generator_loss: 0.758802
[INFO] 2020-09-18 04:06:56 > Step: 61700 Progress: 61.7% Elapsed: 14:21:58 temperature: no ada_p: No Discriminator_loss: 0.941981 Generator_loss: 0.883167
[INFO] 2020-09-18 04:08:16 > Step: 61800 Progress: 61.8% Elapsed: 14:23:18 temperature: no ada_p: No Discriminator_loss: 0.889989 Generator_loss: 1.31789
[INFO] 2020-09-18 04:09:35 > Step: 61900 Progress: 61.9% Elapsed: 14:24:37 temperature: no ada_p: No Discriminator_loss: 0.719824 Generator_loss: 0.953482
[INFO] 2020-09-18 04:10:53 > Step: 62000 Progress: 62.0% Elapsed: 14:25:55 temperature: no ada_p: No Discriminator_loss: 0.91507 Generator_loss: 1.13573
[INFO] 2020-09-18 04:10:53 > Start Evaluation (62000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 04:13:07 > F_8 score (Step: 62000, Using test images): 0.9873482015915247
[INFO] 2020-09-18 04:13:07 > F_1/8 score (Step: 62000, Using test images): 0.9883844818212729
[INFO] 2020-09-18 04:13:07 > FID score (Step: 62000, Using test moments): 11.93473324156895
[INFO] 2020-09-18 04:13:07 > Inception score (Step: 62000, 10000 generated images): 9.551806449890137
[INFO] 2020-09-18 04:13:07 > Best FID score (Step: 60000, Using test moments): 11.826548658556476
[INFO] 2020-09-18 04:13:08 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 04:14:24 > Step: 62100 Progress: 62.1% Elapsed: 14:29:26 temperature: no ada_p: No Discriminator_loss: 0.715039 Generator_loss: 1.19726
[INFO] 2020-09-18 04:15:43 > Step: 62200 Progress: 62.2% Elapsed: 14:30:45 temperature: no ada_p: No Discriminator_loss: 1.00194 Generator_loss: 1.05292
[INFO] 2020-09-18 04:17:01 > Step: 62300 Progress: 62.3% Elapsed: 14:32:03 temperature: no ada_p: No Discriminator_loss: 0.74557 Generator_loss: 1.47598
[INFO] 2020-09-18 04:18:19 > Step: 62400 Progress: 62.4% Elapsed: 14:33:21 temperature: no ada_p: No Discriminator_loss: 1.11658 Generator_loss: 0.796237
[INFO] 2020-09-18 04:19:37 > Step: 62500 Progress: 62.5% Elapsed: 14:34:40 temperature: no ada_p: No Discriminator_loss: 0.967602 Generator_loss: 0.419531
[INFO] 2020-09-18 04:20:56 > Step: 62600 Progress: 62.6% Elapsed: 14:35:58 temperature: no ada_p: No Discriminator_loss: 0.715749 Generator_loss: 1.38225
[INFO] 2020-09-18 04:22:14 > Step: 62700 Progress: 62.7% Elapsed: 14:37:16 temperature: no ada_p: No Discriminator_loss: 0.931574 Generator_loss: 0.942702
[INFO] 2020-09-18 04:23:33 > Step: 62800 Progress: 62.8% Elapsed: 14:38:35 temperature: no ada_p: No Discriminator_loss: 0.654795 Generator_loss: 1.16137
[INFO] 2020-09-18 04:24:43 > Step: 62900 Progress: 62.9% Elapsed: 14:39:45 temperature: no ada_p: No Discriminator_loss: 0.74699 Generator_loss: 0.947608
[INFO] 2020-09-18 04:25:57 > Step: 63000 Progress: 63.0% Elapsed: 14:40:59 temperature: no ada_p: No Discriminator_loss: 0.752874 Generator_loss: 2.26103
[INFO] 2020-09-18 04:27:15 > Step: 63100 Progress: 63.1% Elapsed: 14:42:17 temperature: no ada_p: No Discriminator_loss: 0.847952 Generator_loss: 0.365443
[INFO] 2020-09-18 04:28:34 > Step: 63200 Progress: 63.2% Elapsed: 14:43:36 temperature: no ada_p: No Discriminator_loss: 0.805105 Generator_loss: 1.01908
[INFO] 2020-09-18 04:29:52 > Step: 63300 Progress: 63.3% Elapsed: 14:44:54 temperature: no ada_p: No Discriminator_loss: 0.788113 Generator_loss: 1.31547
[INFO] 2020-09-18 04:31:09 > Step: 63400 Progress: 63.4% Elapsed: 14:46:11 temperature: no ada_p: No Discriminator_loss: 0.908377 Generator_loss: 1.02064
[INFO] 2020-09-18 04:32:28 > Step: 63500 Progress: 63.5% Elapsed: 14:47:30 temperature: no ada_p: No Discriminator_loss: 0.808207 Generator_loss: 0.712837
[INFO] 2020-09-18 04:33:48 > Step: 63600 Progress: 63.6% Elapsed: 14:48:50 temperature: no ada_p: No Discriminator_loss: 0.79141 Generator_loss: 0.759953
[INFO] 2020-09-18 04:35:05 > Step: 63700 Progress: 63.7% Elapsed: 14:50:07 temperature: no ada_p: No Discriminator_loss: 0.877226 Generator_loss: 0.777312
[INFO] 2020-09-18 04:36:23 > Step: 63800 Progress: 63.8% Elapsed: 14:51:25 temperature: no ada_p: No Discriminator_loss: 0.801526 Generator_loss: 1.35709
[INFO] 2020-09-18 04:37:41 > Step: 63900 Progress: 63.9% Elapsed: 14:52:43 temperature: no ada_p: No Discriminator_loss: 1.21781 Generator_loss: 0.104479
[INFO] 2020-09-18 04:38:58 > Step: 64000 Progress: 64.0% Elapsed: 14:54:00 temperature: no ada_p: No Discriminator_loss: 1.04754 Generator_loss: 1.94924
[INFO] 2020-09-18 04:38:58 > Start Evaluation (64000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 04:41:18 > F_8 score (Step: 64000, Using test images): 0.9852205558471342
[INFO] 2020-09-18 04:41:18 > F_1/8 score (Step: 64000, Using test images): 0.9834553915677766
[INFO] 2020-09-18 04:41:18 > FID score (Step: 64000, Using test moments): 11.782542690561115
[INFO] 2020-09-18 04:41:18 > Inception score (Step: 64000, 10000 generated images): 9.45861530303955
[INFO] 2020-09-18 04:41:18 > Best FID score (Step: 64000, Using test moments): 11.782542690561115
[INFO] 2020-09-18 04:41:20 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 04:42:38 > Step: 64100 Progress: 64.1% Elapsed: 14:57:40 temperature: no ada_p: No Discriminator_loss: 1.0735 Generator_loss: 1.38773
[INFO] 2020-09-18 04:43:56 > Step: 64200 Progress: 64.2% Elapsed: 14:58:59 temperature: no ada_p: No Discriminator_loss: 0.630002 Generator_loss: 1.69091
[INFO] 2020-09-18 04:45:14 > Step: 64300 Progress: 64.3% Elapsed: 15:00:16 temperature: no ada_p: No Discriminator_loss: 0.801948 Generator_loss: 0.862039
[INFO] 2020-09-18 04:46:32 > Step: 64400 Progress: 64.4% Elapsed: 15:01:35 temperature: no ada_p: No Discriminator_loss: 0.920964 Generator_loss: 0.811458
[INFO] 2020-09-18 04:47:50 > Step: 64500 Progress: 64.5% Elapsed: 15:02:52 temperature: no ada_p: No Discriminator_loss: 0.567633 Generator_loss: 1.02649
[INFO] 2020-09-18 04:49:08 > Step: 64600 Progress: 64.6% Elapsed: 15:04:11 temperature: no ada_p: No Discriminator_loss: 0.801555 Generator_loss: 0.565726
[INFO] 2020-09-18 04:50:20 > Step: 64700 Progress: 64.7% Elapsed: 15:05:22 temperature: no ada_p: No Discriminator_loss: 0.737162 Generator_loss: 1.10437
[INFO] 2020-09-18 04:51:29 > Step: 64800 Progress: 64.8% Elapsed: 15:06:32 temperature: no ada_p: No Discriminator_loss: 0.566961 Generator_loss: 1.19389
[INFO] 2020-09-18 04:52:49 > Step: 64900 Progress: 64.9% Elapsed: 15:07:51 temperature: no ada_p: No Discriminator_loss: 0.713153 Generator_loss: 0.847019
[INFO] 2020-09-18 04:54:05 > Step: 65000 Progress: 65.0% Elapsed: 15:09:07 temperature: no ada_p: No Discriminator_loss: 0.754555 Generator_loss: 1.43275
[INFO] 2020-09-18 04:55:18 > Step: 65100 Progress: 65.1% Elapsed: 15:10:20 temperature: no ada_p: No Discriminator_loss: 0.926567 Generator_loss: 1.37557
[INFO] 2020-09-18 04:56:30 > Step: 65200 Progress: 65.2% Elapsed: 15:11:32 temperature: no ada_p: No Discriminator_loss: 0.733163 Generator_loss: 0.992234
[INFO] 2020-09-18 04:57:47 > Step: 65300 Progress: 65.3% Elapsed: 15:12:49 temperature: no ada_p: No Discriminator_loss: 0.769655 Generator_loss: 0.672547
[INFO] 2020-09-18 04:59:04 > Step: 65400 Progress: 65.4% Elapsed: 15:14:06 temperature: no ada_p: No Discriminator_loss: 0.666878 Generator_loss: 0.519009
[INFO] 2020-09-18 05:00:21 > Step: 65500 Progress: 65.5% Elapsed: 15:15:23 temperature: no ada_p: No Discriminator_loss: 0.670818 Generator_loss: 2.14926
[INFO] 2020-09-18 05:01:38 > Step: 65600 Progress: 65.6% Elapsed: 15:16:40 temperature: no ada_p: No Discriminator_loss: 0.621162 Generator_loss: 1.24202
[INFO] 2020-09-18 05:02:56 > Step: 65700 Progress: 65.7% Elapsed: 15:17:59 temperature: no ada_p: No Discriminator_loss: 0.720283 Generator_loss: 1.42493
[INFO] 2020-09-18 05:04:15 > Step: 65800 Progress: 65.8% Elapsed: 15:19:17 temperature: no ada_p: No Discriminator_loss: 0.847162 Generator_loss: 0.922461
[INFO] 2020-09-18 05:05:33 > Step: 65900 Progress: 65.9% Elapsed: 15:20:36 temperature: no ada_p: No Discriminator_loss: 0.887347 Generator_loss: 0.813586
[INFO] 2020-09-18 05:06:52 > Step: 66000 Progress: 66.0% Elapsed: 15:21:54 temperature: no ada_p: No Discriminator_loss: 1.01726 Generator_loss: 0.678727
[INFO] 2020-09-18 05:06:52 > Start Evaluation (66000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 05:09:12 > F_8 score (Step: 66000, Using test images): 0.9859842223550852
[INFO] 2020-09-18 05:09:12 > F_1/8 score (Step: 66000, Using test images): 0.9804114021867234
[INFO] 2020-09-18 05:09:12 > FID score (Step: 66000, Using test moments): 12.010295038339962
[INFO] 2020-09-18 05:09:12 > Inception score (Step: 66000, 10000 generated images): 9.49389934539795
[INFO] 2020-09-18 05:09:12 > Best FID score (Step: 64000, Using test moments): 11.782542690561115
[INFO] 2020-09-18 05:09:14 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 05:10:32 > Step: 66100 Progress: 66.1% Elapsed: 15:25:34 temperature: no ada_p: No Discriminator_loss: 0.948814 Generator_loss: 1.72389
[INFO] 2020-09-18 05:11:50 > Step: 66200 Progress: 66.2% Elapsed: 15:26:52 temperature: no ada_p: No Discriminator_loss: 1.0319 Generator_loss: 1.06488
[INFO] 2020-09-18 05:13:08 > Step: 66300 Progress: 66.3% Elapsed: 15:28:10 temperature: no ada_p: No Discriminator_loss: 0.844322 Generator_loss: 1.68364
[INFO] 2020-09-18 05:14:28 > Step: 66400 Progress: 66.4% Elapsed: 15:29:30 temperature: no ada_p: No Discriminator_loss: 0.58077 Generator_loss: 0.698431
[INFO] 2020-09-18 05:15:42 > Step: 66500 Progress: 66.5% Elapsed: 15:30:44 temperature: no ada_p: No Discriminator_loss: 0.935981 Generator_loss: 1.2279
[INFO] 2020-09-18 05:16:52 > Step: 66600 Progress: 66.6% Elapsed: 15:31:54 temperature: no ada_p: No Discriminator_loss: 1.07464 Generator_loss: 0.39897
[INFO] 2020-09-18 05:18:06 > Step: 66700 Progress: 66.7% Elapsed: 15:33:08 temperature: no ada_p: No Discriminator_loss: 1.13584 Generator_loss: 1.56003
[INFO] 2020-09-18 05:19:23 > Step: 66800 Progress: 66.8% Elapsed: 15:34:25 temperature: no ada_p: No Discriminator_loss: 0.580385 Generator_loss: 0.969724
[INFO] 2020-09-18 05:20:43 > Step: 66900 Progress: 66.9% Elapsed: 15:35:45 temperature: no ada_p: No Discriminator_loss: 0.92732 Generator_loss: 1.74486
[INFO] 2020-09-18 05:22:02 > Step: 67000 Progress: 67.0% Elapsed: 15:37:04 temperature: no ada_p: No Discriminator_loss: 0.790809 Generator_loss: 2.1393
[INFO] 2020-09-18 05:23:21 > Step: 67100 Progress: 67.1% Elapsed: 15:38:23 temperature: no ada_p: No Discriminator_loss: 0.921676 Generator_loss: 1.19843
[INFO] 2020-09-18 05:24:41 > Step: 67200 Progress: 67.2% Elapsed: 15:39:43 temperature: no ada_p: No Discriminator_loss: 0.752839 Generator_loss: 1.76296
[INFO] 2020-09-18 05:25:58 > Step: 67300 Progress: 67.3% Elapsed: 15:41:00 temperature: no ada_p: No Discriminator_loss: 0.764748 Generator_loss: 1.59594
[INFO] 2020-09-18 05:27:17 > Step: 67400 Progress: 67.4% Elapsed: 15:42:19 temperature: no ada_p: No Discriminator_loss: 0.986566 Generator_loss: 1.1991
[INFO] 2020-09-18 05:28:36 > Step: 67500 Progress: 67.5% Elapsed: 15:43:38 temperature: no ada_p: No Discriminator_loss: 0.735343 Generator_loss: 1.53686
[INFO] 2020-09-18 05:29:54 > Step: 67600 Progress: 67.6% Elapsed: 15:44:56 temperature: no ada_p: No Discriminator_loss: 0.46344 Generator_loss: 1.49665
[INFO] 2020-09-18 05:31:11 > Step: 67700 Progress: 67.7% Elapsed: 15:46:13 temperature: no ada_p: No Discriminator_loss: 0.82055 Generator_loss: 0.767913
[INFO] 2020-09-18 05:32:29 > Step: 67800 Progress: 67.8% Elapsed: 15:47:31 temperature: no ada_p: No Discriminator_loss: 1.01093 Generator_loss: 0.446405
[INFO] 2020-09-18 05:33:46 > Step: 67900 Progress: 67.9% Elapsed: 15:48:48 temperature: no ada_p: No Discriminator_loss: 0.766135 Generator_loss: 0.784214
[INFO] 2020-09-18 05:35:04 > Step: 68000 Progress: 68.0% Elapsed: 15:50:06 temperature: no ada_p: No Discriminator_loss: 0.78006 Generator_loss: 1.73988
[INFO] 2020-09-18 05:35:04 > Start Evaluation (68000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 05:37:24 > F_8 score (Step: 68000, Using test images): 0.9827936900361091
[INFO] 2020-09-18 05:37:24 > F_1/8 score (Step: 68000, Using test images): 0.9817213604611794
[INFO] 2020-09-18 05:37:24 > FID score (Step: 68000, Using test moments): 11.620336855385347
[INFO] 2020-09-18 05:37:24 > Inception score (Step: 68000, 10000 generated images): 9.397849082946777
[INFO] 2020-09-18 05:37:24 > Best FID score (Step: 68000, Using test moments): 11.620336855385347
[INFO] 2020-09-18 05:37:26 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 05:38:42 > Step: 68100 Progress: 68.1% Elapsed: 15:53:44 temperature: no ada_p: No Discriminator_loss: 0.776569 Generator_loss: 0.860584
[INFO] 2020-09-18 05:39:53 > Step: 68200 Progress: 68.2% Elapsed: 15:54:55 temperature: no ada_p: No Discriminator_loss: 0.713966 Generator_loss: 1.87891
[INFO] 2020-09-18 05:41:07 > Step: 68300 Progress: 68.3% Elapsed: 15:56:09 temperature: no ada_p: No Discriminator_loss: 0.724719 Generator_loss: 1.28139
[INFO] 2020-09-18 05:42:16 > Step: 68400 Progress: 68.4% Elapsed: 15:57:19 temperature: no ada_p: No Discriminator_loss: 0.773164 Generator_loss: 0.991841
[INFO] 2020-09-18 05:43:28 > Step: 68500 Progress: 68.5% Elapsed: 15:58:30 temperature: no ada_p: No Discriminator_loss: 0.873579 Generator_loss: 0.598284
[INFO] 2020-09-18 05:44:48 > Step: 68600 Progress: 68.6% Elapsed: 15:59:50 temperature: no ada_p: No Discriminator_loss: 0.710434 Generator_loss: 1.64217
[INFO] 2020-09-18 05:46:05 > Step: 68700 Progress: 68.7% Elapsed: 16:01:07 temperature: no ada_p: No Discriminator_loss: 1.06739 Generator_loss: 0.861277
[INFO] 2020-09-18 05:47:22 > Step: 68800 Progress: 68.8% Elapsed: 16:02:24 temperature: no ada_p: No Discriminator_loss: 0.713455 Generator_loss: 0.852856
[INFO] 2020-09-18 05:48:41 > Step: 68900 Progress: 68.9% Elapsed: 16:03:43 temperature: no ada_p: No Discriminator_loss: 1.22768 Generator_loss: 1.54729
[INFO] 2020-09-18 05:49:59 > Step: 69000 Progress: 69.0% Elapsed: 16:05:01 temperature: no ada_p: No Discriminator_loss: 0.654756 Generator_loss: 0.581283
[INFO] 2020-09-18 05:51:17 > Step: 69100 Progress: 69.1% Elapsed: 16:06:19 temperature: no ada_p: No Discriminator_loss: 0.641434 Generator_loss: 1.13762
[INFO] 2020-09-18 05:52:35 > Step: 69200 Progress: 69.2% Elapsed: 16:07:37 temperature: no ada_p: No Discriminator_loss: 0.760868 Generator_loss: 1.07061
[INFO] 2020-09-18 05:53:53 > Step: 69300 Progress: 69.3% Elapsed: 16:08:56 temperature: no ada_p: No Discriminator_loss: 0.957754 Generator_loss: 1.23093
[INFO] 2020-09-18 05:55:11 > Step: 69400 Progress: 69.4% Elapsed: 16:10:13 temperature: no ada_p: No Discriminator_loss: 0.693063 Generator_loss: 1.14462
[INFO] 2020-09-18 05:56:29 > Step: 69500 Progress: 69.5% Elapsed: 16:11:31 temperature: no ada_p: No Discriminator_loss: 0.894837 Generator_loss: 1.77792
[INFO] 2020-09-18 05:57:47 > Step: 69600 Progress: 69.6% Elapsed: 16:12:49 temperature: no ada_p: No Discriminator_loss: 0.774511 Generator_loss: 1.377
[INFO] 2020-09-18 05:59:05 > Step: 69700 Progress: 69.7% Elapsed: 16:14:07 temperature: no ada_p: No Discriminator_loss: 0.717702 Generator_loss: 0.796288
[INFO] 2020-09-18 06:00:24 > Step: 69800 Progress: 69.8% Elapsed: 16:15:26 temperature: no ada_p: No Discriminator_loss: 0.728271 Generator_loss: 1.5427
[INFO] 2020-09-18 06:01:42 > Step: 69900 Progress: 69.9% Elapsed: 16:16:44 temperature: no ada_p: No Discriminator_loss: 1.24947 Generator_loss: 0.630804
[INFO] 2020-09-18 06:03:00 > Step: 70000 Progress: 70.0% Elapsed: 16:18:02 temperature: no ada_p: No Discriminator_loss: 0.56098 Generator_loss: 1.58728
[INFO] 2020-09-18 06:03:00 > Start Evaluation (70000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 06:05:20 > F_8 score (Step: 70000, Using test images): 0.9837266259429603
[INFO] 2020-09-18 06:05:20 > F_1/8 score (Step: 70000, Using test images): 0.9855069362709254
[INFO] 2020-09-18 06:05:20 > FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 06:05:20 > Inception score (Step: 70000, 10000 generated images): 9.412261009216309
[INFO] 2020-09-18 06:05:20 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 06:05:22 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 06:06:39 > Step: 70100 Progress: 70.1% Elapsed: 16:21:41 temperature: no ada_p: No Discriminator_loss: 0.608334 Generator_loss: 2.13334
[INFO] 2020-09-18 06:07:52 > Step: 70200 Progress: 70.2% Elapsed: 16:22:54 temperature: no ada_p: No Discriminator_loss: 0.539807 Generator_loss: 1.73969
[INFO] 2020-09-18 06:09:02 > Step: 70300 Progress: 70.3% Elapsed: 16:24:04 temperature: no ada_p: No Discriminator_loss: 0.755339 Generator_loss: 2.14707
[INFO] 2020-09-18 06:10:19 > Step: 70400 Progress: 70.4% Elapsed: 16:25:21 temperature: no ada_p: No Discriminator_loss: 1.11187 Generator_loss: 0.645052
[INFO] 2020-09-18 06:11:37 > Step: 70500 Progress: 70.5% Elapsed: 16:26:39 temperature: no ada_p: No Discriminator_loss: 0.749767 Generator_loss: 1.92439
[INFO] 2020-09-18 06:12:56 > Step: 70600 Progress: 70.6% Elapsed: 16:27:58 temperature: no ada_p: No Discriminator_loss: 0.79536 Generator_loss: 1.53476
[INFO] 2020-09-18 06:14:15 > Step: 70700 Progress: 70.7% Elapsed: 16:29:17 temperature: no ada_p: No Discriminator_loss: 0.653562 Generator_loss: 1.35584
[INFO] 2020-09-18 06:15:33 > Step: 70800 Progress: 70.8% Elapsed: 16:30:35 temperature: no ada_p: No Discriminator_loss: 0.86799 Generator_loss: 0.898736
[INFO] 2020-09-18 06:16:52 > Step: 70900 Progress: 70.9% Elapsed: 16:31:55 temperature: no ada_p: No Discriminator_loss: 0.706398 Generator_loss: 1.05983
[INFO] 2020-09-18 06:18:11 > Step: 71000 Progress: 71.0% Elapsed: 16:33:13 temperature: no ada_p: No Discriminator_loss: 0.662761 Generator_loss: 0.920677
[INFO] 2020-09-18 06:19:30 > Step: 71100 Progress: 71.1% Elapsed: 16:34:32 temperature: no ada_p: No Discriminator_loss: 0.798003 Generator_loss: 1.43856
[INFO] 2020-09-18 06:20:48 > Step: 71200 Progress: 71.2% Elapsed: 16:35:50 temperature: no ada_p: No Discriminator_loss: 0.957701 Generator_loss: 0.583845
[INFO] 2020-09-18 06:22:03 > Step: 71300 Progress: 71.3% Elapsed: 16:37:05 temperature: no ada_p: No Discriminator_loss: 0.552414 Generator_loss: 0.948815
[INFO] 2020-09-18 06:23:14 > Step: 71400 Progress: 71.4% Elapsed: 16:38:16 temperature: no ada_p: No Discriminator_loss: 0.564511 Generator_loss: 1.6315
[INFO] 2020-09-18 06:24:30 > Step: 71500 Progress: 71.5% Elapsed: 16:39:32 temperature: no ada_p: No Discriminator_loss: 0.935798 Generator_loss: 1.22578
[INFO] 2020-09-18 06:25:48 > Step: 71600 Progress: 71.6% Elapsed: 16:40:50 temperature: no ada_p: No Discriminator_loss: 0.642686 Generator_loss: 1.59822
[INFO] 2020-09-18 06:27:05 > Step: 71700 Progress: 71.7% Elapsed: 16:42:07 temperature: no ada_p: No Discriminator_loss: 0.764094 Generator_loss: 1.2706
[INFO] 2020-09-18 06:28:22 > Step: 71800 Progress: 71.8% Elapsed: 16:43:25 temperature: no ada_p: No Discriminator_loss: 0.755394 Generator_loss: 1.33639
[INFO] 2020-09-18 06:29:39 > Step: 71900 Progress: 71.9% Elapsed: 16:44:41 temperature: no ada_p: No Discriminator_loss: 0.814754 Generator_loss: 1.47138
[INFO] 2020-09-18 06:30:57 > Step: 72000 Progress: 72.0% Elapsed: 16:45:59 temperature: no ada_p: No Discriminator_loss: 0.781886 Generator_loss: 1.90511
[INFO] 2020-09-18 06:30:57 > Start Evaluation (72000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 06:33:15 > F_8 score (Step: 72000, Using test images): 0.9859702312807667
[INFO] 2020-09-18 06:33:15 > F_1/8 score (Step: 72000, Using test images): 0.9769204129821878
[INFO] 2020-09-18 06:33:16 > FID score (Step: 72000, Using test moments): 11.846447026264855
[INFO] 2020-09-18 06:33:16 > Inception score (Step: 72000, 10000 generated images): 9.333992004394531
[INFO] 2020-09-18 06:33:16 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 06:33:17 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 06:34:27 > Step: 72100 Progress: 72.1% Elapsed: 16:49:29 temperature: no ada_p: No Discriminator_loss: 0.905733 Generator_loss: 1.06201
[INFO] 2020-09-18 06:35:44 > Step: 72200 Progress: 72.2% Elapsed: 16:50:46 temperature: no ada_p: No Discriminator_loss: 0.683378 Generator_loss: 1.28114
[INFO] 2020-09-18 06:37:01 > Step: 72300 Progress: 72.3% Elapsed: 16:52:03 temperature: no ada_p: No Discriminator_loss: 0.592811 Generator_loss: 1.71518
[INFO] 2020-09-18 06:38:21 > Step: 72400 Progress: 72.4% Elapsed: 16:53:23 temperature: no ada_p: No Discriminator_loss: 0.85408 Generator_loss: 1.01463
[INFO] 2020-09-18 06:39:40 > Step: 72500 Progress: 72.5% Elapsed: 16:54:43 temperature: no ada_p: No Discriminator_loss: 0.551609 Generator_loss: 0.838481
[INFO] 2020-09-18 06:40:58 > Step: 72600 Progress: 72.6% Elapsed: 16:56:00 temperature: no ada_p: No Discriminator_loss: 0.57358 Generator_loss: 1.82078
[INFO] 2020-09-18 06:42:17 > Step: 72700 Progress: 72.7% Elapsed: 16:57:19 temperature: no ada_p: No Discriminator_loss: 0.910771 Generator_loss: 2.01372
[INFO] 2020-09-18 06:43:36 > Step: 72800 Progress: 72.8% Elapsed: 16:58:38 temperature: no ada_p: No Discriminator_loss: 0.775955 Generator_loss: 1.32916
[INFO] 2020-09-18 06:44:55 > Step: 72900 Progress: 72.9% Elapsed: 16:59:57 temperature: no ada_p: No Discriminator_loss: 1.07758 Generator_loss: 2.34601
[INFO] 2020-09-18 06:46:13 > Step: 73000 Progress: 73.0% Elapsed: 17:01:15 temperature: no ada_p: No Discriminator_loss: 0.782293 Generator_loss: 0.820081
[INFO] 2020-09-18 06:47:31 > Step: 73100 Progress: 73.1% Elapsed: 17:02:34 temperature: no ada_p: No Discriminator_loss: 0.821595 Generator_loss: 1.24741
[INFO] 2020-09-18 06:48:51 > Step: 73200 Progress: 73.2% Elapsed: 17:03:53 temperature: no ada_p: No Discriminator_loss: 0.829932 Generator_loss: 0.872557
[INFO] 2020-09-18 06:50:09 > Step: 73300 Progress: 73.3% Elapsed: 17:05:11 temperature: no ada_p: No Discriminator_loss: 0.884438 Generator_loss: 1.2275
[INFO] 2020-09-18 06:51:27 > Step: 73400 Progress: 73.4% Elapsed: 17:06:29 temperature: no ada_p: No Discriminator_loss: 0.73967 Generator_loss: 1.14527
[INFO] 2020-09-18 06:52:44 > Step: 73500 Progress: 73.5% Elapsed: 17:07:46 temperature: no ada_p: No Discriminator_loss: 0.677524 Generator_loss: 1.46436
[INFO] 2020-09-18 06:54:02 > Step: 73600 Progress: 73.6% Elapsed: 17:09:05 temperature: no ada_p: No Discriminator_loss: 0.75779 Generator_loss: 1.07256
[INFO] 2020-09-18 06:55:22 > Step: 73700 Progress: 73.7% Elapsed: 17:10:24 temperature: no ada_p: No Discriminator_loss: 0.699778 Generator_loss: 1.83915
[INFO] 2020-09-18 06:56:41 > Step: 73800 Progress: 73.8% Elapsed: 17:11:43 temperature: no ada_p: No Discriminator_loss: 0.91207 Generator_loss: 1.21852
[INFO] 2020-09-18 06:57:58 > Step: 73900 Progress: 73.9% Elapsed: 17:13:01 temperature: no ada_p: No Discriminator_loss: 0.553186 Generator_loss: 1.7141
[INFO] 2020-09-18 06:59:15 > Step: 74000 Progress: 74.0% Elapsed: 17:14:17 temperature: no ada_p: No Discriminator_loss: 0.732593 Generator_loss: 1.19243
[INFO] 2020-09-18 06:59:15 > Start Evaluation (74000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:01:30 > F_8 score (Step: 74000, Using test images): 0.9869747062370091
[INFO] 2020-09-18 07:01:30 > F_1/8 score (Step: 74000, Using test images): 0.9756313902546878
[INFO] 2020-09-18 07:01:30 > FID score (Step: 74000, Using test moments): 11.710382066250418
[INFO] 2020-09-18 07:01:30 > Inception score (Step: 74000, 10000 generated images): 9.303556442260742
[INFO] 2020-09-18 07:01:30 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 07:01:32 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:02:50 > Step: 74100 Progress: 74.1% Elapsed: 17:17:52 temperature: no ada_p: No Discriminator_loss: 0.999612 Generator_loss: 1.90211
[INFO] 2020-09-18 07:04:08 > Step: 74200 Progress: 74.2% Elapsed: 17:19:11 temperature: no ada_p: No Discriminator_loss: 0.627695 Generator_loss: 1.04893
[INFO] 2020-09-18 07:05:22 > Step: 74300 Progress: 74.3% Elapsed: 17:20:24 temperature: no ada_p: No Discriminator_loss: 0.804899 Generator_loss: 1.29556
[INFO] 2020-09-18 07:06:31 > Step: 74400 Progress: 74.4% Elapsed: 17:21:34 temperature: no ada_p: No Discriminator_loss: 0.672058 Generator_loss: 1.07878
[INFO] 2020-09-18 07:07:46 > Step: 74500 Progress: 74.5% Elapsed: 17:22:48 temperature: no ada_p: No Discriminator_loss: 0.703287 Generator_loss: 0.648548
[INFO] 2020-09-18 07:09:05 > Step: 74600 Progress: 74.6% Elapsed: 17:24:07 temperature: no ada_p: No Discriminator_loss: 1.22039 Generator_loss: 0.728438
[INFO] 2020-09-18 07:10:23 > Step: 74700 Progress: 74.7% Elapsed: 17:25:25 temperature: no ada_p: No Discriminator_loss: 0.744147 Generator_loss: 1.5009
[INFO] 2020-09-18 07:11:40 > Step: 74800 Progress: 74.8% Elapsed: 17:26:42 temperature: no ada_p: No Discriminator_loss: 0.841592 Generator_loss: 1.26107
[INFO] 2020-09-18 07:12:58 > Step: 74900 Progress: 74.9% Elapsed: 17:28:00 temperature: no ada_p: No Discriminator_loss: 0.702185 Generator_loss: 0.81624
[INFO] 2020-09-18 07:14:17 > Step: 75000 Progress: 75.0% Elapsed: 17:29:19 temperature: no ada_p: No Discriminator_loss: 0.768833 Generator_loss: 0.852196
[INFO] 2020-09-18 07:15:34 > Step: 75100 Progress: 75.1% Elapsed: 17:30:37 temperature: no ada_p: No Discriminator_loss: 0.799354 Generator_loss: 1.426
[INFO] 2020-09-18 07:16:52 > Step: 75200 Progress: 75.2% Elapsed: 17:31:54 temperature: no ada_p: No Discriminator_loss: 0.769592 Generator_loss: 0.740737
[INFO] 2020-09-18 07:18:11 > Step: 75300 Progress: 75.3% Elapsed: 17:33:13 temperature: no ada_p: No Discriminator_loss: 0.637223 Generator_loss: 1.6655
[INFO] 2020-09-18 07:19:30 > Step: 75400 Progress: 75.4% Elapsed: 17:34:32 temperature: no ada_p: No Discriminator_loss: 0.839613 Generator_loss: 0.787641
[INFO] 2020-09-18 07:20:49 > Step: 75500 Progress: 75.5% Elapsed: 17:35:51 temperature: no ada_p: No Discriminator_loss: 0.672351 Generator_loss: 0.786554
[INFO] 2020-09-18 07:22:08 > Step: 75600 Progress: 75.6% Elapsed: 17:37:10 temperature: no ada_p: No Discriminator_loss: 1.20426 Generator_loss: 0.584067
[INFO] 2020-09-18 07:23:27 > Step: 75700 Progress: 75.7% Elapsed: 17:38:29 temperature: no ada_p: No Discriminator_loss: 0.814214 Generator_loss: 1.26185
[INFO] 2020-09-18 07:24:45 > Step: 75800 Progress: 75.8% Elapsed: 17:39:47 temperature: no ada_p: No Discriminator_loss: 0.636029 Generator_loss: 1.18291
[INFO] 2020-09-18 07:25:54 > Step: 75900 Progress: 75.9% Elapsed: 17:40:56 temperature: no ada_p: No Discriminator_loss: 0.638391 Generator_loss: 0.972739
[INFO] 2020-09-18 07:27:08 > Step: 76000 Progress: 76.0% Elapsed: 17:42:10 temperature: no ada_p: No Discriminator_loss: 0.522148 Generator_loss: 1.51374
[INFO] 2020-09-18 07:27:08 > Start Evaluation (76000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:29:28 > F_8 score (Step: 76000, Using test images): 0.9867762664894153
[INFO] 2020-09-18 07:29:28 > F_1/8 score (Step: 76000, Using test images): 0.975928223252104
[INFO] 2020-09-18 07:29:28 > FID score (Step: 76000, Using test moments): 12.039055358555515
[INFO] 2020-09-18 07:29:28 > Inception score (Step: 76000, 10000 generated images): 9.378539085388184
[INFO] 2020-09-18 07:29:28 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 07:29:29 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:30:48 > Step: 76100 Progress: 76.1% Elapsed: 17:45:50 temperature: no ada_p: No Discriminator_loss: 0.857138 Generator_loss: 1.79913
[INFO] 2020-09-18 07:32:04 > Step: 76200 Progress: 76.2% Elapsed: 17:47:06 temperature: no ada_p: No Discriminator_loss: 0.643029 Generator_loss: 1.75036
[INFO] 2020-09-18 07:33:24 > Step: 76300 Progress: 76.3% Elapsed: 17:48:26 temperature: no ada_p: No Discriminator_loss: 0.670094 Generator_loss: 1.33087
[INFO] 2020-09-18 07:34:43 > Step: 76400 Progress: 76.4% Elapsed: 17:49:45 temperature: no ada_p: No Discriminator_loss: 0.648053 Generator_loss: 0.807505
[INFO] 2020-09-18 07:36:02 > Step: 76500 Progress: 76.5% Elapsed: 17:51:04 temperature: no ada_p: No Discriminator_loss: 0.798106 Generator_loss: 1.50421
[INFO] 2020-09-18 07:37:22 > Step: 76600 Progress: 76.6% Elapsed: 17:52:24 temperature: no ada_p: No Discriminator_loss: 0.917836 Generator_loss: 0.598316
[INFO] 2020-09-18 07:38:40 > Step: 76700 Progress: 76.7% Elapsed: 17:53:42 temperature: no ada_p: No Discriminator_loss: 1.20143 Generator_loss: 1.32296
[INFO] 2020-09-18 07:39:58 > Step: 76800 Progress: 76.8% Elapsed: 17:55:00 temperature: no ada_p: No Discriminator_loss: 0.928673 Generator_loss: 1.62476
[INFO] 2020-09-18 07:41:18 > Step: 76900 Progress: 76.9% Elapsed: 17:56:20 temperature: no ada_p: No Discriminator_loss: 0.697702 Generator_loss: 1.81848
[INFO] 2020-09-18 07:42:36 > Step: 77000 Progress: 77.0% Elapsed: 17:57:39 temperature: no ada_p: No Discriminator_loss: 0.574461 Generator_loss: 1.34631
[INFO] 2020-09-18 07:43:55 > Step: 77100 Progress: 77.1% Elapsed: 17:58:57 temperature: no ada_p: No Discriminator_loss: 0.69853 Generator_loss: 1.1946
[INFO] 2020-09-18 07:45:13 > Step: 77200 Progress: 77.2% Elapsed: 18:00:16 temperature: no ada_p: No Discriminator_loss: 0.582894 Generator_loss: 1.60741
[INFO] 2020-09-18 07:46:31 > Step: 77300 Progress: 77.3% Elapsed: 18:01:33 temperature: no ada_p: No Discriminator_loss: 0.891331 Generator_loss: 0.784763
[INFO] 2020-09-18 07:47:49 > Step: 77400 Progress: 77.4% Elapsed: 18:02:51 temperature: no ada_p: No Discriminator_loss: 0.73072 Generator_loss: 1.42467
[INFO] 2020-09-18 07:49:06 > Step: 77500 Progress: 77.5% Elapsed: 18:04:08 temperature: no ada_p: No Discriminator_loss: 0.747489 Generator_loss: 0.971594
[INFO] 2020-09-18 07:50:15 > Step: 77600 Progress: 77.6% Elapsed: 18:05:17 temperature: no ada_p: No Discriminator_loss: 0.787342 Generator_loss: 1.35233
[INFO] 2020-09-18 07:51:26 > Step: 77700 Progress: 77.7% Elapsed: 18:06:28 temperature: no ada_p: No Discriminator_loss: 0.77127 Generator_loss: 0.464388
[INFO] 2020-09-18 07:52:38 > Step: 77800 Progress: 77.8% Elapsed: 18:07:41 temperature: no ada_p: No Discriminator_loss: 0.835561 Generator_loss: 1.14261
[INFO] 2020-09-18 07:53:58 > Step: 77900 Progress: 77.9% Elapsed: 18:09:00 temperature: no ada_p: No Discriminator_loss: 0.660804 Generator_loss: 0.665716
[INFO] 2020-09-18 07:55:18 > Step: 78000 Progress: 78.0% Elapsed: 18:10:20 temperature: no ada_p: No Discriminator_loss: 0.550071 Generator_loss: 1.78568
[INFO] 2020-09-18 07:55:18 > Start Evaluation (78000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:57:38 > F_8 score (Step: 78000, Using test images): 0.9846985641383662
[INFO] 2020-09-18 07:57:38 > F_1/8 score (Step: 78000, Using test images): 0.9726113970627644
[INFO] 2020-09-18 07:57:38 > FID score (Step: 78000, Using test moments): 12.043988029581726
[INFO] 2020-09-18 07:57:38 > Inception score (Step: 78000, 10000 generated images): 9.277058601379395
[INFO] 2020-09-18 07:57:38 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 07:57:39 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 07:58:57 > Step: 78100 Progress: 78.1% Elapsed: 18:13:59 temperature: no ada_p: No Discriminator_loss: 0.729518 Generator_loss: 0.811115
[INFO] 2020-09-18 08:00:15 > Step: 78200 Progress: 78.2% Elapsed: 18:15:17 temperature: no ada_p: No Discriminator_loss: 0.582263 Generator_loss: 0.991999
[INFO] 2020-09-18 08:01:33 > Step: 78300 Progress: 78.3% Elapsed: 18:16:36 temperature: no ada_p: No Discriminator_loss: 0.565719 Generator_loss: 1.25974
[INFO] 2020-09-18 08:02:52 > Step: 78400 Progress: 78.4% Elapsed: 18:17:54 temperature: no ada_p: No Discriminator_loss: 0.745684 Generator_loss: 1.35272
[INFO] 2020-09-18 08:04:09 > Step: 78500 Progress: 78.5% Elapsed: 18:19:11 temperature: no ada_p: No Discriminator_loss: 0.70509 Generator_loss: 1.68263
[INFO] 2020-09-18 08:05:27 > Step: 78600 Progress: 78.6% Elapsed: 18:20:30 temperature: no ada_p: No Discriminator_loss: 0.822361 Generator_loss: 1.13858
[INFO] 2020-09-18 08:06:45 > Step: 78700 Progress: 78.7% Elapsed: 18:21:47 temperature: no ada_p: No Discriminator_loss: 0.726341 Generator_loss: 1.42073
[INFO] 2020-09-18 08:08:07 > Step: 78800 Progress: 78.8% Elapsed: 18:23:09 temperature: no ada_p: No Discriminator_loss: 0.518166 Generator_loss: 0.570272
[INFO] 2020-09-18 08:09:26 > Step: 78900 Progress: 78.9% Elapsed: 18:24:28 temperature: no ada_p: No Discriminator_loss: 0.676747 Generator_loss: 1.45922
[INFO] 2020-09-18 08:10:44 > Step: 79000 Progress: 79.0% Elapsed: 18:25:46 temperature: no ada_p: No Discriminator_loss: 0.706585 Generator_loss: 1.96538
[INFO] 2020-09-18 08:12:03 > Step: 79100 Progress: 79.1% Elapsed: 18:27:05 temperature: no ada_p: No Discriminator_loss: 0.628456 Generator_loss: 1.51092
[INFO] 2020-09-18 08:13:23 > Step: 79200 Progress: 79.2% Elapsed: 18:28:25 temperature: no ada_p: No Discriminator_loss: 0.693227 Generator_loss: 1.07913
[INFO] 2020-09-18 08:14:41 > Step: 79300 Progress: 79.3% Elapsed: 18:29:43 temperature: no ada_p: No Discriminator_loss: 0.594339 Generator_loss: 1.3558
[INFO] 2020-09-18 08:16:01 > Step: 79400 Progress: 79.4% Elapsed: 18:31:03 temperature: no ada_p: No Discriminator_loss: 0.95147 Generator_loss: 0.218174
[INFO] 2020-09-18 08:17:10 > Step: 79500 Progress: 79.5% Elapsed: 18:32:12 temperature: no ada_p: No Discriminator_loss: 0.871789 Generator_loss: 1.61398
[INFO] 2020-09-18 08:18:20 > Step: 79600 Progress: 79.6% Elapsed: 18:33:22 temperature: no ada_p: No Discriminator_loss: 0.725888 Generator_loss: 1.9528
[INFO] 2020-09-18 08:19:39 > Step: 79700 Progress: 79.7% Elapsed: 18:34:41 temperature: no ada_p: No Discriminator_loss: 0.70698 Generator_loss: 0.744272
[INFO] 2020-09-18 08:20:57 > Step: 79800 Progress: 79.8% Elapsed: 18:35:59 temperature: no ada_p: No Discriminator_loss: 0.66978 Generator_loss: 1.55849
[INFO] 2020-09-18 08:22:16 > Step: 79900 Progress: 79.9% Elapsed: 18:37:18 temperature: no ada_p: No Discriminator_loss: 0.712769 Generator_loss: 0.58969
[INFO] 2020-09-18 08:23:34 > Step: 80000 Progress: 80.0% Elapsed: 18:38:36 temperature: no ada_p: No Discriminator_loss: 0.763411 Generator_loss: 0.598976
[INFO] 2020-09-18 08:23:34 > Start Evaluation (80000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 08:25:56 > F_8 score (Step: 80000, Using test images): 0.9827400809267473
[INFO] 2020-09-18 08:25:56 > F_1/8 score (Step: 80000, Using test images): 0.9720346790516456
[INFO] 2020-09-18 08:25:56 > FID score (Step: 80000, Using test moments): 11.955589449082595
[INFO] 2020-09-18 08:25:56 > Inception score (Step: 80000, 10000 generated images): 9.465479850769043
[INFO] 2020-09-18 08:25:56 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 08:25:57 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 08:27:17 > Step: 80100 Progress: 80.1% Elapsed: 18:42:19 temperature: no ada_p: No Discriminator_loss: 0.811056 Generator_loss: 1.50858
[INFO] 2020-09-18 08:28:36 > Step: 80200 Progress: 80.2% Elapsed: 18:43:38 temperature: no ada_p: No Discriminator_loss: 0.681046 Generator_loss: 1.30401
[INFO] 2020-09-18 08:29:55 > Step: 80300 Progress: 80.3% Elapsed: 18:44:57 temperature: no ada_p: No Discriminator_loss: 0.909266 Generator_loss: 0.164245
[INFO] 2020-09-18 08:31:13 > Step: 80400 Progress: 80.4% Elapsed: 18:46:15 temperature: no ada_p: No Discriminator_loss: 0.746093 Generator_loss: 1.32033
[INFO] 2020-09-18 08:32:24 > Step: 80500 Progress: 80.5% Elapsed: 18:47:26 temperature: no ada_p: No Discriminator_loss: 0.875196 Generator_loss: 1.42285
[INFO] 2020-09-18 08:33:40 > Step: 80600 Progress: 80.6% Elapsed: 18:48:42 temperature: no ada_p: No Discriminator_loss: 0.587281 Generator_loss: 1.20401
[INFO] 2020-09-18 08:34:57 > Step: 80700 Progress: 80.7% Elapsed: 18:49:59 temperature: no ada_p: No Discriminator_loss: 0.589289 Generator_loss: 1.07032
[INFO] 2020-09-18 08:36:15 > Step: 80800 Progress: 80.8% Elapsed: 18:51:17 temperature: no ada_p: No Discriminator_loss: 0.656419 Generator_loss: 1.95992
[INFO] 2020-09-18 08:37:31 > Step: 80900 Progress: 80.9% Elapsed: 18:52:33 temperature: no ada_p: No Discriminator_loss: 0.780398 Generator_loss: 1.69989
[INFO] 2020-09-18 08:38:49 > Step: 81000 Progress: 81.0% Elapsed: 18:53:51 temperature: no ada_p: No Discriminator_loss: 0.720413 Generator_loss: 0.299274
[INFO] 2020-09-18 08:40:08 > Step: 81100 Progress: 81.1% Elapsed: 18:55:10 temperature: no ada_p: No Discriminator_loss: 0.623536 Generator_loss: 1.32914
[INFO] 2020-09-18 08:41:26 > Step: 81200 Progress: 81.2% Elapsed: 18:56:28 temperature: no ada_p: No Discriminator_loss: 0.654905 Generator_loss: 1.31461
[INFO] 2020-09-18 08:42:38 > Step: 81300 Progress: 81.3% Elapsed: 18:57:40 temperature: no ada_p: No Discriminator_loss: 0.502593 Generator_loss: 1.16631
[INFO] 2020-09-18 08:43:48 > Step: 81400 Progress: 81.4% Elapsed: 18:58:50 temperature: no ada_p: No Discriminator_loss: 0.752935 Generator_loss: 0.818158
[INFO] 2020-09-18 08:45:04 > Step: 81500 Progress: 81.5% Elapsed: 19:00:07 temperature: no ada_p: No Discriminator_loss: 0.706254 Generator_loss: 1.75395
[INFO] 2020-09-18 08:46:22 > Step: 81600 Progress: 81.6% Elapsed: 19:01:24 temperature: no ada_p: No Discriminator_loss: 0.799569 Generator_loss: 1.48601
[INFO] 2020-09-18 08:47:41 > Step: 81700 Progress: 81.7% Elapsed: 19:02:43 temperature: no ada_p: No Discriminator_loss: 0.6299 Generator_loss: 1.50251
[INFO] 2020-09-18 08:48:58 > Step: 81800 Progress: 81.8% Elapsed: 19:04:01 temperature: no ada_p: No Discriminator_loss: 0.587179 Generator_loss: 1.53347
[INFO] 2020-09-18 08:50:18 > Step: 81900 Progress: 81.9% Elapsed: 19:05:20 temperature: no ada_p: No Discriminator_loss: 0.668474 Generator_loss: 1.11549
[INFO] 2020-09-18 08:51:35 > Step: 82000 Progress: 82.0% Elapsed: 19:06:37 temperature: no ada_p: No Discriminator_loss: 0.597446 Generator_loss: 1.59963
[INFO] 2020-09-18 08:51:35 > Start Evaluation (82000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 08:53:55 > F_8 score (Step: 82000, Using test images): 0.9813348060602427
[INFO] 2020-09-18 08:53:55 > F_1/8 score (Step: 82000, Using test images): 0.9794895511281916
[INFO] 2020-09-18 08:53:55 > FID score (Step: 82000, Using test moments): 11.922552240750349
[INFO] 2020-09-18 08:53:55 > Inception score (Step: 82000, 10000 generated images): 9.433783531188965
[INFO] 2020-09-18 08:53:55 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 08:53:56 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 08:55:14 > Step: 82100 Progress: 82.1% Elapsed: 19:10:16 temperature: no ada_p: No Discriminator_loss: 0.478868 Generator_loss: 1.24372
[INFO] 2020-09-18 08:56:34 > Step: 82200 Progress: 82.2% Elapsed: 19:11:36 temperature: no ada_p: No Discriminator_loss: 0.891392 Generator_loss: 0.999103
[INFO] 2020-09-18 08:57:52 > Step: 82300 Progress: 82.3% Elapsed: 19:12:54 temperature: no ada_p: No Discriminator_loss: 0.5944 Generator_loss: 1.55611
[INFO] 2020-09-18 08:59:11 > Step: 82400 Progress: 82.4% Elapsed: 19:14:13 temperature: no ada_p: No Discriminator_loss: 0.744433 Generator_loss: 0.782176
[INFO] 2020-09-18 09:00:29 > Step: 82500 Progress: 82.5% Elapsed: 19:15:31 temperature: no ada_p: No Discriminator_loss: 0.661072 Generator_loss: 1.4069
[INFO] 2020-09-18 09:01:48 > Step: 82600 Progress: 82.6% Elapsed: 19:16:50 temperature: no ada_p: No Discriminator_loss: 0.740499 Generator_loss: 1.48108
[INFO] 2020-09-18 09:03:08 > Step: 82700 Progress: 82.7% Elapsed: 19:18:10 temperature: no ada_p: No Discriminator_loss: 0.874506 Generator_loss: 1.05275
[INFO] 2020-09-18 09:04:26 > Step: 82800 Progress: 82.8% Elapsed: 19:19:28 temperature: no ada_p: No Discriminator_loss: 0.732003 Generator_loss: 0.34535
[INFO] 2020-09-18 09:05:45 > Step: 82900 Progress: 82.9% Elapsed: 19:20:47 temperature: no ada_p: No Discriminator_loss: 0.601303 Generator_loss: 1.75967
[INFO] 2020-09-18 09:07:04 > Step: 83000 Progress: 83.0% Elapsed: 19:22:06 temperature: no ada_p: No Discriminator_loss: 0.706416 Generator_loss: 0.838156
[INFO] 2020-09-18 09:08:17 > Step: 83100 Progress: 83.1% Elapsed: 19:23:19 temperature: no ada_p: No Discriminator_loss: 0.535318 Generator_loss: 1.94484
[INFO] 2020-09-18 09:09:28 > Step: 83200 Progress: 83.2% Elapsed: 19:24:30 temperature: no ada_p: No Discriminator_loss: 0.788197 Generator_loss: 1.66247
[INFO] 2020-09-18 09:10:43 > Step: 83300 Progress: 83.3% Elapsed: 19:25:45 temperature: no ada_p: No Discriminator_loss: 0.826295 Generator_loss: 1.38258
[INFO] 2020-09-18 09:12:00 > Step: 83400 Progress: 83.4% Elapsed: 19:27:03 temperature: no ada_p: No Discriminator_loss: 0.833708 Generator_loss: 2.04392
[INFO] 2020-09-18 09:13:19 > Step: 83500 Progress: 83.5% Elapsed: 19:28:21 temperature: no ada_p: No Discriminator_loss: 0.712938 Generator_loss: 1.46475
[INFO] 2020-09-18 09:14:33 > Step: 83600 Progress: 83.6% Elapsed: 19:29:35 temperature: no ada_p: No Discriminator_loss: 0.756878 Generator_loss: 1.07165
[INFO] 2020-09-18 09:15:44 > Step: 83700 Progress: 83.7% Elapsed: 19:30:46 temperature: no ada_p: No Discriminator_loss: 0.76699 Generator_loss: 1.746
[INFO] 2020-09-18 09:16:58 > Step: 83800 Progress: 83.8% Elapsed: 19:32:00 temperature: no ada_p: No Discriminator_loss: 0.722877 Generator_loss: 1.06012
[INFO] 2020-09-18 09:18:15 > Step: 83900 Progress: 83.9% Elapsed: 19:33:17 temperature: no ada_p: No Discriminator_loss: 0.595817 Generator_loss: 1.89312
[INFO] 2020-09-18 09:19:32 > Step: 84000 Progress: 84.0% Elapsed: 19:34:35 temperature: no ada_p: No Discriminator_loss: 0.826656 Generator_loss: 2.01001
[INFO] 2020-09-18 09:19:33 > Start Evaluation (84000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 09:21:51 > F_8 score (Step: 84000, Using test images): 0.9814746686485613
[INFO] 2020-09-18 09:21:51 > F_1/8 score (Step: 84000, Using test images): 0.9792573796195496
[INFO] 2020-09-18 09:21:51 > FID score (Step: 84000, Using test moments): 11.922420541430256
[INFO] 2020-09-18 09:21:51 > Inception score (Step: 84000, 10000 generated images): 9.335748672485352
[INFO] 2020-09-18 09:21:51 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 09:21:52 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 09:23:11 > Step: 84100 Progress: 84.1% Elapsed: 19:38:13 temperature: no ada_p: No Discriminator_loss: 0.637236 Generator_loss: 1.50633
[INFO] 2020-09-18 09:24:30 > Step: 84200 Progress: 84.2% Elapsed: 19:39:32 temperature: no ada_p: No Discriminator_loss: 1.09186 Generator_loss: 0.343678
[INFO] 2020-09-18 09:25:47 > Step: 84300 Progress: 84.3% Elapsed: 19:40:50 temperature: no ada_p: No Discriminator_loss: 0.645034 Generator_loss: 0.985644
[INFO] 2020-09-18 09:27:06 > Step: 84400 Progress: 84.4% Elapsed: 19:42:09 temperature: no ada_p: No Discriminator_loss: 0.536248 Generator_loss: 0.864357
[INFO] 2020-09-18 09:28:26 > Step: 84500 Progress: 84.5% Elapsed: 19:43:28 temperature: no ada_p: No Discriminator_loss: 0.753373 Generator_loss: 0.974538
[INFO] 2020-09-18 09:29:44 > Step: 84600 Progress: 84.6% Elapsed: 19:44:46 temperature: no ada_p: No Discriminator_loss: 0.709439 Generator_loss: 0.973829
[INFO] 2020-09-18 09:31:04 > Step: 84700 Progress: 84.7% Elapsed: 19:46:06 temperature: no ada_p: No Discriminator_loss: 0.798756 Generator_loss: 1.08996
[INFO] 2020-09-18 09:32:22 > Step: 84800 Progress: 84.8% Elapsed: 19:47:24 temperature: no ada_p: No Discriminator_loss: 0.940885 Generator_loss: 0.884724
[INFO] 2020-09-18 09:33:38 > Step: 84900 Progress: 84.9% Elapsed: 19:48:40 temperature: no ada_p: No Discriminator_loss: 0.878691 Generator_loss: 1.10331
[INFO] 2020-09-18 09:34:49 > Step: 85000 Progress: 85.0% Elapsed: 19:49:51 temperature: no ada_p: No Discriminator_loss: 0.800239 Generator_loss: 0.936943
[INFO] 2020-09-18 09:36:03 > Step: 85100 Progress: 85.1% Elapsed: 19:51:05 temperature: no ada_p: No Discriminator_loss: 0.884232 Generator_loss: 1.06062
[INFO] 2020-09-18 09:37:21 > Step: 85200 Progress: 85.2% Elapsed: 19:52:23 temperature: no ada_p: No Discriminator_loss: 0.676377 Generator_loss: 1.21914
[INFO] 2020-09-18 09:38:41 > Step: 85300 Progress: 85.3% Elapsed: 19:53:43 temperature: no ada_p: No Discriminator_loss: 0.952901 Generator_loss: 1.86161
[INFO] 2020-09-18 09:40:02 > Step: 85400 Progress: 85.4% Elapsed: 19:55:04 temperature: no ada_p: No Discriminator_loss: 0.806164 Generator_loss: 1.59465
[INFO] 2020-09-18 09:41:22 > Step: 85500 Progress: 85.5% Elapsed: 19:56:25 temperature: no ada_p: No Discriminator_loss: 0.829554 Generator_loss: 0.696939
[INFO] 2020-09-18 09:42:41 > Step: 85600 Progress: 85.6% Elapsed: 19:57:43 temperature: no ada_p: No Discriminator_loss: 0.582336 Generator_loss: 1.0266
[INFO] 2020-09-18 09:43:58 > Step: 85700 Progress: 85.7% Elapsed: 19:59:00 temperature: no ada_p: No Discriminator_loss: 0.570487 Generator_loss: 0.188351
[INFO] 2020-09-18 09:45:17 > Step: 85800 Progress: 85.8% Elapsed: 20:00:19 temperature: no ada_p: No Discriminator_loss: 0.619535 Generator_loss: 0.97542
[INFO] 2020-09-18 09:46:36 > Step: 85900 Progress: 85.9% Elapsed: 20:01:38 temperature: no ada_p: No Discriminator_loss: 1.26136 Generator_loss: 1.07007
[INFO] 2020-09-18 09:47:55 > Step: 86000 Progress: 86.0% Elapsed: 20:02:58 temperature: no ada_p: No Discriminator_loss: 0.771105 Generator_loss: 1.34622
[INFO] 2020-09-18 09:47:56 > Start Evaluation (86000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 09:50:18 > F_8 score (Step: 86000, Using test images): 0.987263239343092
[INFO] 2020-09-18 09:50:18 > F_1/8 score (Step: 86000, Using test images): 0.9845790565200873
[INFO] 2020-09-18 09:50:18 > FID score (Step: 86000, Using test moments): 11.979551458163655
[INFO] 2020-09-18 09:50:18 > Inception score (Step: 86000, 10000 generated images): 9.347813606262207
[INFO] 2020-09-18 09:50:18 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 09:50:19 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 09:51:35 > Step: 86100 Progress: 86.1% Elapsed: 20:06:37 temperature: no ada_p: No Discriminator_loss: 0.592195 Generator_loss: 1.27916
[INFO] 2020-09-18 09:52:54 > Step: 86200 Progress: 86.2% Elapsed: 20:07:56 temperature: no ada_p: No Discriminator_loss: 0.758899 Generator_loss: 1.19922
[INFO] 2020-09-18 09:54:13 > Step: 86300 Progress: 86.3% Elapsed: 20:09:15 temperature: no ada_p: No Discriminator_loss: 0.727308 Generator_loss: 1.34686
[INFO] 2020-09-18 09:55:33 > Step: 86400 Progress: 86.4% Elapsed: 20:10:35 temperature: no ada_p: No Discriminator_loss: 0.97511 Generator_loss: 0.861694
[INFO] 2020-09-18 09:56:53 > Step: 86500 Progress: 86.5% Elapsed: 20:11:55 temperature: no ada_p: No Discriminator_loss: 0.729699 Generator_loss: 1.18007
[INFO] 2020-09-18 09:58:05 > Step: 86600 Progress: 86.6% Elapsed: 20:13:07 temperature: no ada_p: No Discriminator_loss: 0.716785 Generator_loss: 0.452022
[INFO] 2020-09-18 09:59:15 > Step: 86700 Progress: 86.7% Elapsed: 20:14:17 temperature: no ada_p: No Discriminator_loss: 0.558784 Generator_loss: 0.854851
[INFO] 2020-09-18 10:00:24 > Step: 86800 Progress: 86.8% Elapsed: 20:15:26 temperature: no ada_p: No Discriminator_loss: 0.735364 Generator_loss: 1.31219
[INFO] 2020-09-18 10:01:39 > Step: 86900 Progress: 86.9% Elapsed: 20:16:41 temperature: no ada_p: No Discriminator_loss: 0.63482 Generator_loss: 1.1405
[INFO] 2020-09-18 10:02:58 > Step: 87000 Progress: 87.0% Elapsed: 20:18:00 temperature: no ada_p: No Discriminator_loss: 0.609038 Generator_loss: 1.67629
[INFO] 2020-09-18 10:04:16 > Step: 87100 Progress: 87.1% Elapsed: 20:19:18 temperature: no ada_p: No Discriminator_loss: 0.6196 Generator_loss: 1.5996
[INFO] 2020-09-18 10:05:35 > Step: 87200 Progress: 87.2% Elapsed: 20:20:37 temperature: no ada_p: No Discriminator_loss: 0.86255 Generator_loss: 0.730293
[INFO] 2020-09-18 10:06:53 > Step: 87300 Progress: 87.3% Elapsed: 20:21:55 temperature: no ada_p: No Discriminator_loss: 0.632928 Generator_loss: 0.676098
[INFO] 2020-09-18 10:08:11 > Step: 87400 Progress: 87.4% Elapsed: 20:23:14 temperature: no ada_p: No Discriminator_loss: 0.913735 Generator_loss: 1.77515
[INFO] 2020-09-18 10:09:30 > Step: 87500 Progress: 87.5% Elapsed: 20:24:32 temperature: no ada_p: No Discriminator_loss: 0.625514 Generator_loss: 1.88563
[INFO] 2020-09-18 10:10:48 > Step: 87600 Progress: 87.6% Elapsed: 20:25:50 temperature: no ada_p: No Discriminator_loss: 0.824089 Generator_loss: 1.85207
[INFO] 2020-09-18 10:12:07 > Step: 87700 Progress: 87.7% Elapsed: 20:27:09 temperature: no ada_p: No Discriminator_loss: 0.588998 Generator_loss: 1.82592
[INFO] 2020-09-18 10:13:25 > Step: 87800 Progress: 87.8% Elapsed: 20:28:28 temperature: no ada_p: No Discriminator_loss: 0.745998 Generator_loss: 1.22877
[INFO] 2020-09-18 10:14:45 > Step: 87900 Progress: 87.9% Elapsed: 20:29:47 temperature: no ada_p: No Discriminator_loss: 0.733928 Generator_loss: 1.59234
[INFO] 2020-09-18 10:16:04 > Step: 88000 Progress: 88.0% Elapsed: 20:31:06 temperature: no ada_p: No Discriminator_loss: 0.979937 Generator_loss: 1.04967
[INFO] 2020-09-18 10:16:04 > Start Evaluation (88000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 10:18:23 > F_8 score (Step: 88000, Using test images): 0.9875489754676393
[INFO] 2020-09-18 10:18:23 > F_1/8 score (Step: 88000, Using test images): 0.9859437437195294
[INFO] 2020-09-18 10:18:23 > FID score (Step: 88000, Using test moments): 11.799006289203135
[INFO] 2020-09-18 10:18:23 > Inception score (Step: 88000, 10000 generated images): 9.385708808898926
[INFO] 2020-09-18 10:18:23 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 10:18:24 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 10:19:43 > Step: 88100 Progress: 88.1% Elapsed: 20:34:45 temperature: no ada_p: No Discriminator_loss: 0.677087 Generator_loss: 1.30813
[INFO] 2020-09-18 10:21:02 > Step: 88200 Progress: 88.2% Elapsed: 20:36:04 temperature: no ada_p: No Discriminator_loss: 0.590195 Generator_loss: 1.31643
[INFO] 2020-09-18 10:22:20 > Step: 88300 Progress: 88.3% Elapsed: 20:37:23 temperature: no ada_p: No Discriminator_loss: 0.935928 Generator_loss: 0.65284
[INFO] 2020-09-18 10:23:38 > Step: 88400 Progress: 88.4% Elapsed: 20:38:40 temperature: no ada_p: No Discriminator_loss: 0.531125 Generator_loss: 0.836091
[INFO] 2020-09-18 10:24:53 > Step: 88500 Progress: 88.5% Elapsed: 20:39:55 temperature: no ada_p: No Discriminator_loss: 0.862594 Generator_loss: 0.860009
[INFO] 2020-09-18 10:26:03 > Step: 88600 Progress: 88.6% Elapsed: 20:41:05 temperature: no ada_p: No Discriminator_loss: 0.836838 Generator_loss: 0.947638
[INFO] 2020-09-18 10:27:18 > Step: 88700 Progress: 88.7% Elapsed: 20:42:20 temperature: no ada_p: No Discriminator_loss: 0.574993 Generator_loss: 1.2265
[INFO] 2020-09-18 10:28:35 > Step: 88800 Progress: 88.8% Elapsed: 20:43:37 temperature: no ada_p: No Discriminator_loss: 1.07202 Generator_loss: 1.20458
[INFO] 2020-09-18 10:29:53 > Step: 88900 Progress: 88.9% Elapsed: 20:44:55 temperature: no ada_p: No Discriminator_loss: 0.723216 Generator_loss: 0.993781
[INFO] 2020-09-18 10:31:11 > Step: 89000 Progress: 89.0% Elapsed: 20:46:14 temperature: no ada_p: No Discriminator_loss: 0.672569 Generator_loss: 1.29535
[INFO] 2020-09-18 10:32:29 > Step: 89100 Progress: 89.1% Elapsed: 20:47:31 temperature: no ada_p: No Discriminator_loss: 0.740282 Generator_loss: 1.52658
[INFO] 2020-09-18 10:33:49 > Step: 89200 Progress: 89.2% Elapsed: 20:48:52 temperature: no ada_p: No Discriminator_loss: 0.596943 Generator_loss: 1.41484
[INFO] 2020-09-18 10:35:08 > Step: 89300 Progress: 89.3% Elapsed: 20:50:10 temperature: no ada_p: No Discriminator_loss: 0.881172 Generator_loss: 1.06986
[INFO] 2020-09-18 10:36:27 > Step: 89400 Progress: 89.4% Elapsed: 20:51:29 temperature: no ada_p: No Discriminator_loss: 0.602905 Generator_loss: 1.29933
[INFO] 2020-09-18 10:37:46 > Step: 89500 Progress: 89.5% Elapsed: 20:52:48 temperature: no ada_p: No Discriminator_loss: 0.415935 Generator_loss: 0.997668
[INFO] 2020-09-18 10:39:04 > Step: 89600 Progress: 89.6% Elapsed: 20:54:06 temperature: no ada_p: No Discriminator_loss: 0.578994 Generator_loss: 1.52624
[INFO] 2020-09-18 10:40:23 > Step: 89700 Progress: 89.7% Elapsed: 20:55:25 temperature: no ada_p: No Discriminator_loss: 0.401858 Generator_loss: 1.19147
[INFO] 2020-09-18 10:41:37 > Step: 89800 Progress: 89.8% Elapsed: 20:56:39 temperature: no ada_p: No Discriminator_loss: 0.922076 Generator_loss: 1.80185
[INFO] 2020-09-18 10:42:52 > Step: 89900 Progress: 89.9% Elapsed: 20:57:54 temperature: no ada_p: No Discriminator_loss: 0.634464 Generator_loss: 1.68844
[INFO] 2020-09-18 10:44:12 > Step: 90000 Progress: 90.0% Elapsed: 20:59:15 temperature: no ada_p: No Discriminator_loss: 1.56544 Generator_loss: 2.35201
[INFO] 2020-09-18 10:44:12 > Start Evaluation (90000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 10:46:33 > F_8 score (Step: 90000, Using test images): 0.9892987229044307
[INFO] 2020-09-18 10:46:33 > F_1/8 score (Step: 90000, Using test images): 0.9870933036372501
[INFO] 2020-09-18 10:46:33 > FID score (Step: 90000, Using test moments): 11.692831617432716
[INFO] 2020-09-18 10:46:33 > Inception score (Step: 90000, 10000 generated images): 9.400348663330078
[INFO] 2020-09-18 10:46:33 > Best FID score (Step: 70000, Using test moments): 11.608158961012634
[INFO] 2020-09-18 10:46:34 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 10:47:51 > Step: 90100 Progress: 90.1% Elapsed: 21:02:53 temperature: no ada_p: No Discriminator_loss: 0.582701 Generator_loss: 0.759421
[INFO] 2020-09-18 10:49:09 > Step: 90200 Progress: 90.2% Elapsed: 21:04:11 temperature: no ada_p: No Discriminator_loss: 0.548044 Generator_loss: 1.56415
[INFO] 2020-09-18 10:50:24 > Step: 90300 Progress: 90.3% Elapsed: 21:05:26 temperature: no ada_p: No Discriminator_loss: 0.765129 Generator_loss: 1.17795
[INFO] 2020-09-18 10:51:34 > Step: 90400 Progress: 90.4% Elapsed: 21:06:37 temperature: no ada_p: No Discriminator_loss: 0.625785 Generator_loss: 1.74176
[INFO] 2020-09-18 10:52:49 > Step: 90500 Progress: 90.5% Elapsed: 21:07:51 temperature: no ada_p: No Discriminator_loss: 0.724308 Generator_loss: 0.878821
[INFO] 2020-09-18 10:54:08 > Step: 90600 Progress: 90.6% Elapsed: 21:09:10 temperature: no ada_p: No Discriminator_loss: 0.717032 Generator_loss: 1.14619
[INFO] 2020-09-18 10:55:27 > Step: 90700 Progress: 90.7% Elapsed: 21:10:29 temperature: no ada_p: No Discriminator_loss: 0.745872 Generator_loss: 1.22173
[INFO] 2020-09-18 10:56:46 > Step: 90800 Progress: 90.8% Elapsed: 21:11:48 temperature: no ada_p: No Discriminator_loss: 0.955597 Generator_loss: 1.40981
[INFO] 2020-09-18 10:58:04 > Step: 90900 Progress: 90.9% Elapsed: 21:13:06 temperature: no ada_p: No Discriminator_loss: 0.669682 Generator_loss: 0.762139
[INFO] 2020-09-18 10:59:22 > Step: 91000 Progress: 91.0% Elapsed: 21:14:24 temperature: no ada_p: No Discriminator_loss: 0.700531 Generator_loss: 1.23276
[INFO] 2020-09-18 11:00:39 > Step: 91100 Progress: 91.1% Elapsed: 21:15:42 temperature: no ada_p: No Discriminator_loss: 0.606866 Generator_loss: 1.54591
[INFO] 2020-09-18 11:01:59 > Step: 91200 Progress: 91.2% Elapsed: 21:17:01 temperature: no ada_p: No Discriminator_loss: 0.79728 Generator_loss: 1.35075
[INFO] 2020-09-18 11:03:17 > Step: 91300 Progress: 91.3% Elapsed: 21:18:19 temperature: no ada_p: No Discriminator_loss: 0.845702 Generator_loss: 1.92921
[INFO] 2020-09-18 11:04:35 > Step: 91400 Progress: 91.4% Elapsed: 21:19:37 temperature: no ada_p: No Discriminator_loss: 0.800119 Generator_loss: 1.18374
[INFO] 2020-09-18 11:05:55 > Step: 91500 Progress: 91.5% Elapsed: 21:20:57 temperature: no ada_p: No Discriminator_loss: 0.801998 Generator_loss: 0.626523
[INFO] 2020-09-18 11:07:13 > Step: 91600 Progress: 91.6% Elapsed: 21:22:15 temperature: no ada_p: No Discriminator_loss: 0.746192 Generator_loss: 1.19727
[INFO] 2020-09-18 11:08:33 > Step: 91700 Progress: 91.7% Elapsed: 21:23:35 temperature: no ada_p: No Discriminator_loss: 0.675484 Generator_loss: 0.471023
[INFO] 2020-09-18 11:09:50 > Step: 91800 Progress: 91.8% Elapsed: 21:24:52 temperature: no ada_p: No Discriminator_loss: 0.814214 Generator_loss: 1.76444
[INFO] 2020-09-18 11:11:08 > Step: 91900 Progress: 91.9% Elapsed: 21:26:11 temperature: no ada_p: No Discriminator_loss: 0.758341 Generator_loss: 1.24948
[INFO] 2020-09-18 11:12:27 > Step: 92000 Progress: 92.0% Elapsed: 21:27:29 temperature: no ada_p: No Discriminator_loss: 0.695186 Generator_loss: 1.30484
[INFO] 2020-09-18 11:12:27 > Start Evaluation (92000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 11:14:47 > F_8 score (Step: 92000, Using test images): 0.9810642801967622
[INFO] 2020-09-18 11:14:47 > F_1/8 score (Step: 92000, Using test images): 0.9841182761515612
[INFO] 2020-09-18 11:14:47 > FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 11:14:47 > Inception score (Step: 92000, 10000 generated images): 9.282713890075684
[INFO] 2020-09-18 11:14:47 > Best FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 11:14:49 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 11:16:05 > Step: 92100 Progress: 92.1% Elapsed: 21:31:07 temperature: no ada_p: No Discriminator_loss: 0.542031 Generator_loss: 1.37385
[INFO] 2020-09-18 11:17:15 > Step: 92200 Progress: 92.2% Elapsed: 21:32:17 temperature: no ada_p: No Discriminator_loss: 0.501527 Generator_loss: 0.99186
[INFO] 2020-09-18 11:18:26 > Step: 92300 Progress: 92.3% Elapsed: 21:33:28 temperature: no ada_p: No Discriminator_loss: 0.527254 Generator_loss: 0.934322
[INFO] 2020-09-18 11:19:34 > Step: 92400 Progress: 92.4% Elapsed: 21:34:37 temperature: no ada_p: No Discriminator_loss: 0.940364 Generator_loss: 1.01444
[INFO] 2020-09-18 11:20:46 > Step: 92500 Progress: 92.5% Elapsed: 21:35:48 temperature: no ada_p: No Discriminator_loss: 0.550127 Generator_loss: 1.3177
[INFO] 2020-09-18 11:21:54 > Step: 92600 Progress: 92.6% Elapsed: 21:36:56 temperature: no ada_p: No Discriminator_loss: 0.879065 Generator_loss: 0.408208
[INFO] 2020-09-18 11:23:06 > Step: 92700 Progress: 92.7% Elapsed: 21:38:08 temperature: no ada_p: No Discriminator_loss: 0.794638 Generator_loss: 1.91646
[INFO] 2020-09-18 11:24:15 > Step: 92800 Progress: 92.8% Elapsed: 21:39:17 temperature: no ada_p: No Discriminator_loss: 0.975409 Generator_loss: 1.60698
[INFO] 2020-09-18 11:25:23 > Step: 92900 Progress: 92.9% Elapsed: 21:40:25 temperature: no ada_p: No Discriminator_loss: 1.30027 Generator_loss: 2.01041
[INFO] 2020-09-18 11:26:33 > Step: 93000 Progress: 93.0% Elapsed: 21:41:35 temperature: no ada_p: No Discriminator_loss: 0.764802 Generator_loss: 1.30388
[INFO] 2020-09-18 11:27:43 > Step: 93100 Progress: 93.1% Elapsed: 21:42:45 temperature: no ada_p: No Discriminator_loss: 0.672768 Generator_loss: 1.94555
[INFO] 2020-09-18 11:28:50 > Step: 93200 Progress: 93.2% Elapsed: 21:43:52 temperature: no ada_p: No Discriminator_loss: 0.61052 Generator_loss: 0.955901
[INFO] 2020-09-18 11:29:58 > Step: 93300 Progress: 93.3% Elapsed: 21:45:00 temperature: no ada_p: No Discriminator_loss: 0.816297 Generator_loss: 0.929349
[INFO] 2020-09-18 11:31:07 > Step: 93400 Progress: 93.4% Elapsed: 21:46:10 temperature: no ada_p: No Discriminator_loss: 0.801482 Generator_loss: 1.20894
[INFO] 2020-09-18 11:32:16 > Step: 93500 Progress: 93.5% Elapsed: 21:47:19 temperature: no ada_p: No Discriminator_loss: 0.587968 Generator_loss: 1.13357
[INFO] 2020-09-18 11:33:25 > Step: 93600 Progress: 93.6% Elapsed: 21:48:27 temperature: no ada_p: No Discriminator_loss: 0.499968 Generator_loss: 1.13504
[INFO] 2020-09-18 11:34:35 > Step: 93700 Progress: 93.7% Elapsed: 21:49:37 temperature: no ada_p: No Discriminator_loss: 0.69579 Generator_loss: 1.37643
[INFO] 2020-09-18 11:35:45 > Step: 93800 Progress: 93.8% Elapsed: 21:50:47 temperature: no ada_p: No Discriminator_loss: 0.696684 Generator_loss: 1.65738
[INFO] 2020-09-18 11:36:54 > Step: 93900 Progress: 93.9% Elapsed: 21:51:56 temperature: no ada_p: No Discriminator_loss: 0.539885 Generator_loss: 1.75976
[INFO] 2020-09-18 11:38:04 > Step: 94000 Progress: 94.0% Elapsed: 21:53:06 temperature: no ada_p: No Discriminator_loss: 0.558803 Generator_loss: 1.66529
[INFO] 2020-09-18 11:38:04 > Start Evaluation (94000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 11:40:14 > F_8 score (Step: 94000, Using test images): 0.9875967501524375
[INFO] 2020-09-18 11:40:14 > F_1/8 score (Step: 94000, Using test images): 0.9869265871370054
[INFO] 2020-09-18 11:40:14 > FID score (Step: 94000, Using test moments): 11.644673241393434
[INFO] 2020-09-18 11:40:14 > Inception score (Step: 94000, 10000 generated images): 9.43435287475586
[INFO] 2020-09-18 11:40:14 > Best FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 11:40:15 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 11:41:24 > Step: 94100 Progress: 94.1% Elapsed: 21:56:26 temperature: no ada_p: No Discriminator_loss: 0.586675 Generator_loss: 0.768327
[INFO] 2020-09-18 11:42:32 > Step: 94200 Progress: 94.2% Elapsed: 21:57:34 temperature: no ada_p: No Discriminator_loss: 0.491298 Generator_loss: 0.498235
[INFO] 2020-09-18 11:43:41 > Step: 94300 Progress: 94.3% Elapsed: 21:58:43 temperature: no ada_p: No Discriminator_loss: 0.80031 Generator_loss: 1.24982
[INFO] 2020-09-18 11:44:49 > Step: 94400 Progress: 94.4% Elapsed: 21:59:52 temperature: no ada_p: No Discriminator_loss: 0.579381 Generator_loss: 0.865788
[INFO] 2020-09-18 11:45:57 > Step: 94500 Progress: 94.5% Elapsed: 22:00:59 temperature: no ada_p: No Discriminator_loss: 0.743298 Generator_loss: 1.12326
[INFO] 2020-09-18 11:47:05 > Step: 94600 Progress: 94.6% Elapsed: 22:02:07 temperature: no ada_p: No Discriminator_loss: 0.72528 Generator_loss: 1.30387
[INFO] 2020-09-18 11:48:14 > Step: 94700 Progress: 94.7% Elapsed: 22:03:16 temperature: no ada_p: No Discriminator_loss: 0.733404 Generator_loss: 1.28051
[INFO] 2020-09-18 11:49:22 > Step: 94800 Progress: 94.8% Elapsed: 22:04:24 temperature: no ada_p: No Discriminator_loss: 0.553954 Generator_loss: 1.56047
[INFO] 2020-09-18 11:50:30 > Step: 94900 Progress: 94.9% Elapsed: 22:05:32 temperature: no ada_p: No Discriminator_loss: 0.608307 Generator_loss: 0.596446
[INFO] 2020-09-18 11:51:40 > Step: 95000 Progress: 95.0% Elapsed: 22:06:42 temperature: no ada_p: No Discriminator_loss: 0.90897 Generator_loss: 2.13036
[INFO] 2020-09-18 11:52:49 > Step: 95100 Progress: 95.1% Elapsed: 22:07:51 temperature: no ada_p: No Discriminator_loss: 0.573998 Generator_loss: 1.80364
[INFO] 2020-09-18 11:53:58 > Step: 95200 Progress: 95.2% Elapsed: 22:09:00 temperature: no ada_p: No Discriminator_loss: 0.57978 Generator_loss: 1.55123
[INFO] 2020-09-18 11:55:14 > Step: 95300 Progress: 95.3% Elapsed: 22:10:16 temperature: no ada_p: No Discriminator_loss: 0.897181 Generator_loss: 0.796805
[INFO] 2020-09-18 11:56:23 > Step: 95400 Progress: 95.4% Elapsed: 22:11:25 temperature: no ada_p: No Discriminator_loss: 0.878623 Generator_loss: 1.74136
[INFO] 2020-09-18 11:57:38 > Step: 95500 Progress: 95.5% Elapsed: 22:12:40 temperature: no ada_p: No Discriminator_loss: 0.817164 Generator_loss: 0.217468
[INFO] 2020-09-18 11:58:49 > Step: 95600 Progress: 95.6% Elapsed: 22:13:51 temperature: no ada_p: No Discriminator_loss: 0.604616 Generator_loss: 1.47405
[INFO] 2020-09-18 11:59:58 > Step: 95700 Progress: 95.7% Elapsed: 22:15:00 temperature: no ada_p: No Discriminator_loss: 0.699385 Generator_loss: 0.907705
[INFO] 2020-09-18 12:01:09 > Step: 95800 Progress: 95.8% Elapsed: 22:16:11 temperature: no ada_p: No Discriminator_loss: 0.599576 Generator_loss: 1.63935
[INFO] 2020-09-18 12:02:19 > Step: 95900 Progress: 95.9% Elapsed: 22:17:21 temperature: no ada_p: No Discriminator_loss: 0.83138 Generator_loss: 1.2539
[INFO] 2020-09-18 12:03:28 > Step: 96000 Progress: 96.0% Elapsed: 22:18:30 temperature: no ada_p: No Discriminator_loss: 0.779416 Generator_loss: 1.24157
[INFO] 2020-09-18 12:03:28 > Start Evaluation (96000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 12:05:36 > F_8 score (Step: 96000, Using test images): 0.9881595755724355
[INFO] 2020-09-18 12:05:36 > F_1/8 score (Step: 96000, Using test images): 0.9853484046616059
[INFO] 2020-09-18 12:05:36 > FID score (Step: 96000, Using test moments): 11.62135876006846
[INFO] 2020-09-18 12:05:36 > Inception score (Step: 96000, 10000 generated images): 9.373411178588867
[INFO] 2020-09-18 12:05:36 > Best FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 12:05:37 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 12:06:47 > Step: 96100 Progress: 96.1% Elapsed: 22:21:49 temperature: no ada_p: No Discriminator_loss: 0.54294 Generator_loss: 1.40874
[INFO] 2020-09-18 12:07:55 > Step: 96200 Progress: 96.2% Elapsed: 22:22:57 temperature: no ada_p: No Discriminator_loss: 0.89914 Generator_loss: 2.06869
[INFO] 2020-09-18 12:09:04 > Step: 96300 Progress: 96.3% Elapsed: 22:24:06 temperature: no ada_p: No Discriminator_loss: 0.466576 Generator_loss: 1.75794
[INFO] 2020-09-18 12:10:14 > Step: 96400 Progress: 96.4% Elapsed: 22:25:16 temperature: no ada_p: No Discriminator_loss: 0.610169 Generator_loss: 0.892021
[INFO] 2020-09-18 12:11:22 > Step: 96500 Progress: 96.5% Elapsed: 22:26:24 temperature: no ada_p: No Discriminator_loss: 0.708438 Generator_loss: 0.648001
[INFO] 2020-09-18 12:12:30 > Step: 96600 Progress: 96.6% Elapsed: 22:27:33 temperature: no ada_p: No Discriminator_loss: 0.615472 Generator_loss: 2.09707
[INFO] 2020-09-18 12:13:39 > Step: 96700 Progress: 96.7% Elapsed: 22:28:41 temperature: no ada_p: No Discriminator_loss: 0.744713 Generator_loss: 0.562473
[INFO] 2020-09-18 12:14:47 > Step: 96800 Progress: 96.8% Elapsed: 22:29:49 temperature: no ada_p: No Discriminator_loss: 0.764447 Generator_loss: 1.77732
[INFO] 2020-09-18 12:15:55 > Step: 96900 Progress: 96.9% Elapsed: 22:30:58 temperature: no ada_p: No Discriminator_loss: 0.578355 Generator_loss: 1.46739
[INFO] 2020-09-18 12:17:05 > Step: 97000 Progress: 97.0% Elapsed: 22:32:07 temperature: no ada_p: No Discriminator_loss: 0.492601 Generator_loss: 1.52322
[INFO] 2020-09-18 12:18:15 > Step: 97100 Progress: 97.1% Elapsed: 22:33:17 temperature: no ada_p: No Discriminator_loss: 0.745777 Generator_loss: 1.48314
[INFO] 2020-09-18 12:19:25 > Step: 97200 Progress: 97.2% Elapsed: 22:34:28 temperature: no ada_p: No Discriminator_loss: 0.648746 Generator_loss: 0.87604
[INFO] 2020-09-18 12:20:35 > Step: 97300 Progress: 97.3% Elapsed: 22:35:38 temperature: no ada_p: No Discriminator_loss: 0.941844 Generator_loss: 0.754696
[INFO] 2020-09-18 12:21:44 > Step: 97400 Progress: 97.4% Elapsed: 22:36:46 temperature: no ada_p: No Discriminator_loss: 0.684438 Generator_loss: 1.41414
[INFO] 2020-09-18 12:22:52 > Step: 97500 Progress: 97.5% Elapsed: 22:37:54 temperature: no ada_p: No Discriminator_loss: 0.573217 Generator_loss: 1.49495
[INFO] 2020-09-18 12:24:01 > Step: 97600 Progress: 97.6% Elapsed: 22:39:03 temperature: no ada_p: No Discriminator_loss: 0.538365 Generator_loss: 1.41187
[INFO] 2020-09-18 12:25:10 > Step: 97700 Progress: 97.7% Elapsed: 22:40:12 temperature: no ada_p: No Discriminator_loss: 0.852808 Generator_loss: 1.64823
[INFO] 2020-09-18 12:26:20 > Step: 97800 Progress: 97.8% Elapsed: 22:41:22 temperature: no ada_p: No Discriminator_loss: 0.808785 Generator_loss: 0.854134
[INFO] 2020-09-18 12:27:27 > Step: 97900 Progress: 97.9% Elapsed: 22:42:30 temperature: no ada_p: No Discriminator_loss: 0.563465 Generator_loss: 1.45852
[INFO] 2020-09-18 12:28:37 > Step: 98000 Progress: 98.0% Elapsed: 22:43:40 temperature: no ada_p: No Discriminator_loss: 0.548545 Generator_loss: 1.06417
[INFO] 2020-09-18 12:28:37 > Start Evaluation (98000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 12:30:49 > F_8 score (Step: 98000, Using test images): 0.9900544510354771
[INFO] 2020-09-18 12:30:49 > F_1/8 score (Step: 98000, Using test images): 0.9852787860341369
[INFO] 2020-09-18 12:30:49 > FID score (Step: 98000, Using test moments): 11.786970280678077
[INFO] 2020-09-18 12:30:49 > Inception score (Step: 98000, 10000 generated images): 9.298190116882324
[INFO] 2020-09-18 12:30:49 > Best FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 12:30:50 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 12:32:01 > Step: 98100 Progress: 98.1% Elapsed: 22:47:03 temperature: no ada_p: No Discriminator_loss: 0.557564 Generator_loss: 1.72083
[INFO] 2020-09-18 12:33:11 > Step: 98200 Progress: 98.2% Elapsed: 22:48:13 temperature: no ada_p: No Discriminator_loss: 0.851875 Generator_loss: 2.01712
[INFO] 2020-09-18 12:34:22 > Step: 98300 Progress: 98.3% Elapsed: 22:49:24 temperature: no ada_p: No Discriminator_loss: 0.606607 Generator_loss: 1.22201
[INFO] 2020-09-18 12:35:30 > Step: 98400 Progress: 98.4% Elapsed: 22:50:32 temperature: no ada_p: No Discriminator_loss: 0.857358 Generator_loss: 1.50006
[INFO] 2020-09-18 12:36:40 > Step: 98500 Progress: 98.5% Elapsed: 22:51:42 temperature: no ada_p: No Discriminator_loss: 0.715343 Generator_loss: 1.64863
[INFO] 2020-09-18 12:37:50 > Step: 98600 Progress: 98.6% Elapsed: 22:52:52 temperature: no ada_p: No Discriminator_loss: 1.09399 Generator_loss: 0.688496
[INFO] 2020-09-18 12:39:00 > Step: 98700 Progress: 98.7% Elapsed: 22:54:02 temperature: no ada_p: No Discriminator_loss: 0.710512 Generator_loss: 1.77231
[INFO] 2020-09-18 12:40:10 > Step: 98800 Progress: 98.8% Elapsed: 22:55:12 temperature: no ada_p: No Discriminator_loss: 0.699471 Generator_loss: 0.603459
[INFO] 2020-09-18 12:41:21 > Step: 98900 Progress: 98.9% Elapsed: 22:56:23 temperature: no ada_p: No Discriminator_loss: 0.768631 Generator_loss: 1.02026
[INFO] 2020-09-18 12:42:29 > Step: 99000 Progress: 99.0% Elapsed: 22:57:31 temperature: no ada_p: No Discriminator_loss: 0.658605 Generator_loss: 1.27863
[INFO] 2020-09-18 12:43:38 > Step: 99100 Progress: 99.1% Elapsed: 22:58:40 temperature: no ada_p: No Discriminator_loss: 0.527529 Generator_loss: 1.55374
[INFO] 2020-09-18 12:44:46 > Step: 99200 Progress: 99.2% Elapsed: 22:59:48 temperature: no ada_p: No Discriminator_loss: 0.544528 Generator_loss: 1.58243
[INFO] 2020-09-18 12:45:53 > Step: 99300 Progress: 99.3% Elapsed: 23:00:55 temperature: no ada_p: No Discriminator_loss: 0.628923 Generator_loss: 2.24904
[INFO] 2020-09-18 12:47:03 > Step: 99400 Progress: 99.4% Elapsed: 23:02:06 temperature: no ada_p: No Discriminator_loss: 0.902713 Generator_loss: 2.04518
[INFO] 2020-09-18 12:48:13 > Step: 99500 Progress: 99.5% Elapsed: 23:03:15 temperature: no ada_p: No Discriminator_loss: 0.638486 Generator_loss: 1.32846
[INFO] 2020-09-18 12:49:22 > Step: 99600 Progress: 99.6% Elapsed: 23:04:24 temperature: no ada_p: No Discriminator_loss: 0.880575 Generator_loss: 0.505007
[INFO] 2020-09-18 12:50:30 > Step: 99700 Progress: 99.7% Elapsed: 23:05:32 temperature: no ada_p: No Discriminator_loss: 0.948838 Generator_loss: 1.71584
[INFO] 2020-09-18 12:51:38 > Step: 99800 Progress: 99.8% Elapsed: 23:06:40 temperature: no ada_p: No Discriminator_loss: 0.830539 Generator_loss: 1.50241
[INFO] 2020-09-18 12:52:47 > Step: 99900 Progress: 99.9% Elapsed: 23:07:49 temperature: no ada_p: No Discriminator_loss: 0.730824 Generator_loss: 2.28082
[INFO] 2020-09-18 12:53:55 > Step: 100000 Progress: 100.0% Elapsed: 23:08:57 temperature: no ada_p: No Discriminator_loss: 0.738716 Generator_loss: 0.157135
[INFO] 2020-09-18 12:53:55 > Start Evaluation (100000 Step): BigGAN-Deep-train-2020_09_17_13_44_46
[INFO] 2020-09-18 12:56:04 > F_8 score (Step: 100000, Using test images): 0.9865549378417808
[INFO] 2020-09-18 12:56:04 > F_1/8 score (Step: 100000, Using test images): 0.9840556078614852
[INFO] 2020-09-18 12:56:04 > FID score (Step: 100000, Using test moments): 11.801670828756471
[INFO] 2020-09-18 12:56:04 > Inception score (Step: 100000, 10000 generated images): 9.22527027130127
[INFO] 2020-09-18 12:56:04 > Best FID score (Step: 92000, Using test moments): 11.49512565267247
[INFO] 2020-09-18 12:56:05 > Saved model to checkpoints/BigGAN-Deep-train-2020_09_17_13_44_46