forked from POSTECH-CVLab/PyTorch-StudioGAN
-
Notifications
You must be signed in to change notification settings - Fork 0
/
DiffAugGAN(P)-train-2020_09_18_14_33_57.log
2837 lines (2837 loc) · 382 KB
/
DiffAugGAN(P)-train-2020_09_18_14_33_57.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
[INFO] 2020-09-18 14:33:57 > Run name : DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 14:33:57 > {'config_path': './configs/CIFAR10/DiffAugGAN(P).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] 2020-09-18 14:33:57 > {'model': {'architecture': 'big_resnet', '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': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 64, 'accumulation_steps': 1, 'd_lr': 0.0002, 'g_lr': 0.0002, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.5, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 5, 'total_step': 200000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': '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': True, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 1000}}
[INFO] 2020-09-18 14:33:57 > Loading train datasets...
[INFO] 2020-09-18 14:33:57 > Train dataset size : 50000
[INFO] 2020-09-18 14:33:57 > Loading test datasets...
[INFO] 2020-09-18 14:33:58 > Eval dataset size : 10000
[INFO] 2020-09-18 14:33:58 > Building model...
[INFO] 2020-09-18 14:33:58 > Modules are located on models.big_resnet
[INFO] 2020-09-18 14:34:01 > Number of parameters: 9416196
[INFO] 2020-09-18 14:34:01 > Generator(
(linear0): Linear(in_features=20, out_features=6144, bias=True)
(shared): Embedding(10, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(384, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(192, 384, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=384, bias=False)
(bias): Linear(in_features=148, out_features=384, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(384, 384, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(384, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2020-09-18 14:34:01 > Number of parameters: 2415170
[INFO] 2020-09-18 14:34:01 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(192, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(192, 96, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d1): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
)
(activation): ReLU(inplace=True)
(linear1): Linear(in_features=192, out_features=1, bias=True)
(embedding): Embedding(10, 192)
)
[INFO] 2020-09-18 14:34:05 > Start training....
[INFO] 2020-09-18 14:34:52 > Step: 100 Progress: 0.1% Elapsed: 0:00:46 temperature: no ada_p: No Discriminator_loss: 0.925416 Generator_loss: 1.02511
[INFO] 2020-09-18 14:35:38 > Step: 200 Progress: 0.1% Elapsed: 0:01:32 temperature: no ada_p: No Discriminator_loss: 1.40607 Generator_loss: 0.812064
[INFO] 2020-09-18 14:36:24 > Step: 300 Progress: 0.1% Elapsed: 0:02:18 temperature: no ada_p: No Discriminator_loss: 1.37487 Generator_loss: 0.932308
[INFO] 2020-09-18 14:37:10 > Step: 400 Progress: 0.2% Elapsed: 0:03:04 temperature: no ada_p: No Discriminator_loss: 1.58999 Generator_loss: -0.358188
[INFO] 2020-09-18 14:37:57 > Step: 500 Progress: 0.2% Elapsed: 0:03:51 temperature: no ada_p: No Discriminator_loss: 1.23727 Generator_loss: 0.655266
[INFO] 2020-09-18 14:38:43 > Step: 600 Progress: 0.3% Elapsed: 0:04:37 temperature: no ada_p: No Discriminator_loss: 1.1531 Generator_loss: 0.0718991
[INFO] 2020-09-18 14:39:31 > Step: 700 Progress: 0.4% Elapsed: 0:05:25 temperature: no ada_p: No Discriminator_loss: 1.33297 Generator_loss: 0.393768
[INFO] 2020-09-18 14:40:19 > Step: 800 Progress: 0.4% Elapsed: 0:06:13 temperature: no ada_p: No Discriminator_loss: 1.17164 Generator_loss: 0.468021
[INFO] 2020-09-18 14:41:07 > Step: 900 Progress: 0.4% Elapsed: 0:07:02 temperature: no ada_p: No Discriminator_loss: 1.55751 Generator_loss: -0.518032
[INFO] 2020-09-18 14:41:56 > Step: 1000 Progress: 0.5% Elapsed: 0:07:50 temperature: no ada_p: No Discriminator_loss: 1.91586 Generator_loss: -0.21944
[INFO] 2020-09-18 14:42:44 > Step: 1100 Progress: 0.5% Elapsed: 0:08:38 temperature: no ada_p: No Discriminator_loss: 1.15778 Generator_loss: 0.0100985
[INFO] 2020-09-18 14:43:33 > Step: 1200 Progress: 0.6% Elapsed: 0:09:27 temperature: no ada_p: No Discriminator_loss: 1.41442 Generator_loss: 1.42297
[INFO] 2020-09-18 14:44:21 > Step: 1300 Progress: 0.7% Elapsed: 0:10:16 temperature: no ada_p: No Discriminator_loss: 1.17891 Generator_loss: 1.1762
[INFO] 2020-09-18 14:45:10 > Step: 1400 Progress: 0.7% Elapsed: 0:11:04 temperature: no ada_p: No Discriminator_loss: 1.21063 Generator_loss: 0.522687
[INFO] 2020-09-18 14:45:58 > Step: 1500 Progress: 0.8% Elapsed: 0:11:52 temperature: no ada_p: No Discriminator_loss: 1.36218 Generator_loss: 0.518777
[INFO] 2020-09-18 14:46:45 > Step: 1600 Progress: 0.8% Elapsed: 0:12:40 temperature: no ada_p: No Discriminator_loss: 1.31278 Generator_loss: 0.525437
[INFO] 2020-09-18 14:47:33 > Step: 1700 Progress: 0.9% Elapsed: 0:13:27 temperature: no ada_p: No Discriminator_loss: 1.37581 Generator_loss: 0.777518
[INFO] 2020-09-18 14:48:21 > Step: 1800 Progress: 0.9% Elapsed: 0:14:15 temperature: no ada_p: No Discriminator_loss: 1.46052 Generator_loss: 0.67034
[INFO] 2020-09-18 14:49:09 > Step: 1900 Progress: 0.9% Elapsed: 0:15:03 temperature: no ada_p: No Discriminator_loss: 1.17591 Generator_loss: -0.0906795
[INFO] 2020-09-18 14:49:56 > Step: 2000 Progress: 1.0% Elapsed: 0:15:50 temperature: no ada_p: No Discriminator_loss: 1.14243 Generator_loss: 0.689559
[INFO] 2020-09-18 14:49:56 > Start Evaluation (2000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 14:51:50 > F_8 score (Step: 2000, Using test images): 0.7673620488290138
[INFO] 2020-09-18 14:51:50 > F_1/8 score (Step: 2000, Using test images): 0.8516142303208889
[INFO] 2020-09-18 14:51:50 > FID score (Step: 2000, Using test moments): 51.577752250856804
[INFO] 2020-09-18 14:51:50 > Inception score (Step: 2000, 10000 generated images): 5.638471603393555
[INFO] 2020-09-18 14:51:50 > Best FID score (Step: 2000, Using test moments): 51.577752250856804
[INFO] 2020-09-18 14:51:51 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 14:52:39 > Step: 2100 Progress: 1.1% Elapsed: 0:18:33 temperature: no ada_p: No Discriminator_loss: 1.32895 Generator_loss: 1.51518
[INFO] 2020-09-18 14:53:28 > Step: 2200 Progress: 1.1% Elapsed: 0:19:22 temperature: no ada_p: No Discriminator_loss: 1.58124 Generator_loss: 1.15407
[INFO] 2020-09-18 14:54:15 > Step: 2300 Progress: 1.1% Elapsed: 0:20:09 temperature: no ada_p: No Discriminator_loss: 1.10633 Generator_loss: -0.308841
[INFO] 2020-09-18 14:55:03 > Step: 2400 Progress: 1.2% Elapsed: 0:20:57 temperature: no ada_p: No Discriminator_loss: 1.53114 Generator_loss: 0.986823
[INFO] 2020-09-18 14:55:51 > Step: 2500 Progress: 1.2% Elapsed: 0:21:46 temperature: no ada_p: No Discriminator_loss: 1.04022 Generator_loss: 0.227905
[INFO] 2020-09-18 14:56:39 > Step: 2600 Progress: 1.3% Elapsed: 0:22:33 temperature: no ada_p: No Discriminator_loss: 1.19909 Generator_loss: 0.686036
[INFO] 2020-09-18 14:57:27 > Step: 2700 Progress: 1.4% Elapsed: 0:23:21 temperature: no ada_p: No Discriminator_loss: 1.3527 Generator_loss: 0.622225
[INFO] 2020-09-18 14:58:14 > Step: 2800 Progress: 1.4% Elapsed: 0:24:08 temperature: no ada_p: No Discriminator_loss: 1.0315 Generator_loss: 0.484683
[INFO] 2020-09-18 14:59:02 > Step: 2900 Progress: 1.5% Elapsed: 0:24:56 temperature: no ada_p: No Discriminator_loss: 1.42324 Generator_loss: 0.727735
[INFO] 2020-09-18 14:59:50 > Step: 3000 Progress: 1.5% Elapsed: 0:25:44 temperature: no ada_p: No Discriminator_loss: 1.10212 Generator_loss: 0.905962
[INFO] 2020-09-18 15:00:37 > Step: 3100 Progress: 1.6% Elapsed: 0:26:31 temperature: no ada_p: No Discriminator_loss: 1.24542 Generator_loss: 0.673553
[INFO] 2020-09-18 15:01:25 > Step: 3200 Progress: 1.6% Elapsed: 0:27:19 temperature: no ada_p: No Discriminator_loss: 1.20028 Generator_loss: 1.36228
[INFO] 2020-09-18 15:02:14 > Step: 3300 Progress: 1.7% Elapsed: 0:28:08 temperature: no ada_p: No Discriminator_loss: 1.25146 Generator_loss: 0.388619
[INFO] 2020-09-18 15:03:01 > Step: 3400 Progress: 1.7% Elapsed: 0:28:56 temperature: no ada_p: No Discriminator_loss: 1.13552 Generator_loss: 0.479435
[INFO] 2020-09-18 15:03:50 > Step: 3500 Progress: 1.8% Elapsed: 0:29:44 temperature: no ada_p: No Discriminator_loss: 1.24194 Generator_loss: 0.769554
[INFO] 2020-09-18 15:04:39 > Step: 3600 Progress: 1.8% Elapsed: 0:30:33 temperature: no ada_p: No Discriminator_loss: 1.10905 Generator_loss: -0.166158
[INFO] 2020-09-18 15:05:27 > Step: 3700 Progress: 1.8% Elapsed: 0:31:21 temperature: no ada_p: No Discriminator_loss: 1.15225 Generator_loss: 0.556198
[INFO] 2020-09-18 15:06:15 > Step: 3800 Progress: 1.9% Elapsed: 0:32:09 temperature: no ada_p: No Discriminator_loss: 1.26815 Generator_loss: 0.423037
[INFO] 2020-09-18 15:07:02 > Step: 3900 Progress: 1.9% Elapsed: 0:32:56 temperature: no ada_p: No Discriminator_loss: 1.15013 Generator_loss: 0.542201
[INFO] 2020-09-18 15:07:51 > Step: 4000 Progress: 2.0% Elapsed: 0:33:45 temperature: no ada_p: No Discriminator_loss: 1.09492 Generator_loss: 0.251687
[INFO] 2020-09-18 15:07:51 > Start Evaluation (4000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:09:43 > F_8 score (Step: 4000, Using test images): 0.8375275348555343
[INFO] 2020-09-18 15:09:43 > F_1/8 score (Step: 4000, Using test images): 0.8694238288067588
[INFO] 2020-09-18 15:09:43 > FID score (Step: 4000, Using test moments): 44.92731135879433
[INFO] 2020-09-18 15:09:43 > Inception score (Step: 4000, 10000 generated images): 6.652228832244873
[INFO] 2020-09-18 15:09:43 > Best FID score (Step: 4000, Using test moments): 44.92731135879433
[INFO] 2020-09-18 15:09:43 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:10:31 > Step: 4100 Progress: 2.1% Elapsed: 0:36:25 temperature: no ada_p: No Discriminator_loss: 1.32957 Generator_loss: 1.29
[INFO] 2020-09-18 15:11:18 > Step: 4200 Progress: 2.1% Elapsed: 0:37:13 temperature: no ada_p: No Discriminator_loss: 1.10059 Generator_loss: 0.277309
[INFO] 2020-09-18 15:12:07 > Step: 4300 Progress: 2.1% Elapsed: 0:38:01 temperature: no ada_p: No Discriminator_loss: 0.96175 Generator_loss: 1.12201
[INFO] 2020-09-18 15:12:56 > Step: 4400 Progress: 2.2% Elapsed: 0:38:50 temperature: no ada_p: No Discriminator_loss: 1.25921 Generator_loss: 0.125517
[INFO] 2020-09-18 15:13:44 > Step: 4500 Progress: 2.2% Elapsed: 0:39:38 temperature: no ada_p: No Discriminator_loss: 1.31797 Generator_loss: 1.34947
[INFO] 2020-09-18 15:14:32 > Step: 4600 Progress: 2.3% Elapsed: 0:40:26 temperature: no ada_p: No Discriminator_loss: 1.18415 Generator_loss: 0.426202
[INFO] 2020-09-18 15:15:20 > Step: 4700 Progress: 2.4% Elapsed: 0:41:15 temperature: no ada_p: No Discriminator_loss: 1.13878 Generator_loss: 0.984468
[INFO] 2020-09-18 15:16:09 > Step: 4800 Progress: 2.4% Elapsed: 0:42:03 temperature: no ada_p: No Discriminator_loss: 1.1949 Generator_loss: 0.913912
[INFO] 2020-09-18 15:16:58 > Step: 4900 Progress: 2.5% Elapsed: 0:42:53 temperature: no ada_p: No Discriminator_loss: 1.2071 Generator_loss: 0.925876
[INFO] 2020-09-18 15:17:46 > Step: 5000 Progress: 2.5% Elapsed: 0:43:41 temperature: no ada_p: No Discriminator_loss: 0.853576 Generator_loss: 0.360007
[INFO] 2020-09-18 15:18:34 > Step: 5100 Progress: 2.5% Elapsed: 0:44:28 temperature: no ada_p: No Discriminator_loss: 1.16719 Generator_loss: 1.26863
[INFO] 2020-09-18 15:19:22 > Step: 5200 Progress: 2.6% Elapsed: 0:45:16 temperature: no ada_p: No Discriminator_loss: 1.0376 Generator_loss: 1.14572
[INFO] 2020-09-18 15:20:09 > Step: 5300 Progress: 2.6% Elapsed: 0:46:03 temperature: no ada_p: No Discriminator_loss: 1.0589 Generator_loss: 0.137021
[INFO] 2020-09-18 15:20:58 > Step: 5400 Progress: 2.7% Elapsed: 0:46:52 temperature: no ada_p: No Discriminator_loss: 1.29171 Generator_loss: 0.977421
[INFO] 2020-09-18 15:21:46 > Step: 5500 Progress: 2.8% Elapsed: 0:47:40 temperature: no ada_p: No Discriminator_loss: 1.07242 Generator_loss: 0.772783
[INFO] 2020-09-18 15:22:33 > Step: 5600 Progress: 2.8% Elapsed: 0:48:27 temperature: no ada_p: No Discriminator_loss: 1.17902 Generator_loss: 0.350077
[INFO] 2020-09-18 15:23:21 > Step: 5700 Progress: 2.9% Elapsed: 0:49:16 temperature: no ada_p: No Discriminator_loss: 1.08463 Generator_loss: 0.419371
[INFO] 2020-09-18 15:24:09 > Step: 5800 Progress: 2.9% Elapsed: 0:50:04 temperature: no ada_p: No Discriminator_loss: 1.42177 Generator_loss: 0.606321
[INFO] 2020-09-18 15:24:57 > Step: 5900 Progress: 2.9% Elapsed: 0:50:51 temperature: no ada_p: No Discriminator_loss: 1.10652 Generator_loss: 0.396135
[INFO] 2020-09-18 15:25:45 > Step: 6000 Progress: 3.0% Elapsed: 0:51:39 temperature: no ada_p: No Discriminator_loss: 1.30333 Generator_loss: 0.815507
[INFO] 2020-09-18 15:25:45 > Start Evaluation (6000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:27:36 > F_8 score (Step: 6000, Using test images): 0.8744622225227564
[INFO] 2020-09-18 15:27:36 > F_1/8 score (Step: 6000, Using test images): 0.9043646561385595
[INFO] 2020-09-18 15:27:36 > FID score (Step: 6000, Using test moments): 38.63025541686903
[INFO] 2020-09-18 15:27:36 > Inception score (Step: 6000, 10000 generated images): 7.234260082244873
[INFO] 2020-09-18 15:27:36 > Best FID score (Step: 6000, Using test moments): 38.63025541686903
[INFO] 2020-09-18 15:27:37 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:28:24 > Step: 6100 Progress: 3.0% Elapsed: 0:54:18 temperature: no ada_p: No Discriminator_loss: 1.33362 Generator_loss: 1.01423
[INFO] 2020-09-18 15:29:12 > Step: 6200 Progress: 3.1% Elapsed: 0:55:06 temperature: no ada_p: No Discriminator_loss: 1.15408 Generator_loss: 0.754459
[INFO] 2020-09-18 15:30:01 > Step: 6300 Progress: 3.1% Elapsed: 0:55:55 temperature: no ada_p: No Discriminator_loss: 1.5372 Generator_loss: 0.727733
[INFO] 2020-09-18 15:30:50 > Step: 6400 Progress: 3.2% Elapsed: 0:56:44 temperature: no ada_p: No Discriminator_loss: 1.18916 Generator_loss: 0.718667
[INFO] 2020-09-18 15:31:38 > Step: 6500 Progress: 3.2% Elapsed: 0:57:32 temperature: no ada_p: No Discriminator_loss: 1.07413 Generator_loss: 0.267281
[INFO] 2020-09-18 15:32:27 > Step: 6600 Progress: 3.3% Elapsed: 0:58:21 temperature: no ada_p: No Discriminator_loss: 1.10684 Generator_loss: 1.16284
[INFO] 2020-09-18 15:33:14 > Step: 6700 Progress: 3.4% Elapsed: 0:59:09 temperature: no ada_p: No Discriminator_loss: 1.11919 Generator_loss: 1.30598
[INFO] 2020-09-18 15:34:04 > Step: 6800 Progress: 3.4% Elapsed: 0:59:58 temperature: no ada_p: No Discriminator_loss: 1.31213 Generator_loss: 0.164047
[INFO] 2020-09-18 15:34:52 > Step: 6900 Progress: 3.5% Elapsed: 1:00:46 temperature: no ada_p: No Discriminator_loss: 1.55866 Generator_loss: -0.198413
[INFO] 2020-09-18 15:35:40 > Step: 7000 Progress: 3.5% Elapsed: 1:01:34 temperature: no ada_p: No Discriminator_loss: 1.18039 Generator_loss: 0.937518
[INFO] 2020-09-18 15:36:29 > Step: 7100 Progress: 3.5% Elapsed: 1:02:23 temperature: no ada_p: No Discriminator_loss: 1.30669 Generator_loss: 0.661903
[INFO] 2020-09-18 15:37:17 > Step: 7200 Progress: 3.6% Elapsed: 1:03:12 temperature: no ada_p: No Discriminator_loss: 1.08696 Generator_loss: 0.09919
[INFO] 2020-09-18 15:38:05 > Step: 7300 Progress: 3.6% Elapsed: 1:04:00 temperature: no ada_p: No Discriminator_loss: 1.30796 Generator_loss: 0.356577
[INFO] 2020-09-18 15:38:53 > Step: 7400 Progress: 3.7% Elapsed: 1:04:47 temperature: no ada_p: No Discriminator_loss: 1.28417 Generator_loss: 0.661078
[INFO] 2020-09-18 15:39:41 > Step: 7500 Progress: 3.8% Elapsed: 1:05:35 temperature: no ada_p: No Discriminator_loss: 1.27488 Generator_loss: 0.037087
[INFO] 2020-09-18 15:40:28 > Step: 7600 Progress: 3.8% Elapsed: 1:06:22 temperature: no ada_p: No Discriminator_loss: 1.31222 Generator_loss: 0.925394
[INFO] 2020-09-18 15:41:17 > Step: 7700 Progress: 3.9% Elapsed: 1:07:11 temperature: no ada_p: No Discriminator_loss: 1.12335 Generator_loss: 1.03061
[INFO] 2020-09-18 15:42:05 > Step: 7800 Progress: 3.9% Elapsed: 1:07:59 temperature: no ada_p: No Discriminator_loss: 1.36296 Generator_loss: 0.913349
[INFO] 2020-09-18 15:42:53 > Step: 7900 Progress: 4.0% Elapsed: 1:08:47 temperature: no ada_p: No Discriminator_loss: 1.20824 Generator_loss: 0.37001
[INFO] 2020-09-18 15:43:41 > Step: 8000 Progress: 4.0% Elapsed: 1:09:35 temperature: no ada_p: No Discriminator_loss: 0.971763 Generator_loss: 0.546414
[INFO] 2020-09-18 15:43:41 > Start Evaluation (8000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:45:31 > F_8 score (Step: 8000, Using test images): 0.9318154397989009
[INFO] 2020-09-18 15:45:32 > F_1/8 score (Step: 8000, Using test images): 0.9351910010116853
[INFO] 2020-09-18 15:45:32 > FID score (Step: 8000, Using test moments): 32.51017994008657
[INFO] 2020-09-18 15:45:32 > Inception score (Step: 8000, 10000 generated images): 8.036153793334961
[INFO] 2020-09-18 15:45:32 > Best FID score (Step: 8000, Using test moments): 32.51017994008657
[INFO] 2020-09-18 15:45:32 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 15:46:20 > Step: 8100 Progress: 4.0% Elapsed: 1:12:14 temperature: no ada_p: No Discriminator_loss: 1.12326 Generator_loss: 0.806236
[INFO] 2020-09-18 15:47:09 > Step: 8200 Progress: 4.1% Elapsed: 1:13:03 temperature: no ada_p: No Discriminator_loss: 1.15466 Generator_loss: 0.519435
[INFO] 2020-09-18 15:47:57 > Step: 8300 Progress: 4.2% Elapsed: 1:13:51 temperature: no ada_p: No Discriminator_loss: 1.14604 Generator_loss: 0.433648
[INFO] 2020-09-18 15:48:45 > Step: 8400 Progress: 4.2% Elapsed: 1:14:39 temperature: no ada_p: No Discriminator_loss: 1.04681 Generator_loss: 0.375467
[INFO] 2020-09-18 15:49:33 > Step: 8500 Progress: 4.2% Elapsed: 1:15:27 temperature: no ada_p: No Discriminator_loss: 1.12619 Generator_loss: -0.00122603
[INFO] 2020-09-18 15:50:22 > Step: 8600 Progress: 4.3% Elapsed: 1:16:16 temperature: no ada_p: No Discriminator_loss: 1.044 Generator_loss: 0.727293
[INFO] 2020-09-18 15:51:09 > Step: 8700 Progress: 4.3% Elapsed: 1:17:03 temperature: no ada_p: No Discriminator_loss: 1.51672 Generator_loss: 0.30612
[INFO] 2020-09-18 15:51:57 > Step: 8800 Progress: 4.4% Elapsed: 1:17:51 temperature: no ada_p: No Discriminator_loss: 1.48151 Generator_loss: 0.537742
[INFO] 2020-09-18 15:52:45 > Step: 8900 Progress: 4.5% Elapsed: 1:18:39 temperature: no ada_p: No Discriminator_loss: 1.20844 Generator_loss: 0.557743
[INFO] 2020-09-18 15:53:34 > Step: 9000 Progress: 4.5% Elapsed: 1:19:28 temperature: no ada_p: No Discriminator_loss: 1.6011 Generator_loss: 1.50107
[INFO] 2020-09-18 15:54:22 > Step: 9100 Progress: 4.5% Elapsed: 1:20:16 temperature: no ada_p: No Discriminator_loss: 1.15214 Generator_loss: 0.447229
[INFO] 2020-09-18 15:55:10 > Step: 9200 Progress: 4.6% Elapsed: 1:21:04 temperature: no ada_p: No Discriminator_loss: 1.30592 Generator_loss: 0.572877
[INFO] 2020-09-18 15:55:59 > Step: 9300 Progress: 4.7% Elapsed: 1:21:53 temperature: no ada_p: No Discriminator_loss: 1.20752 Generator_loss: 1.13563
[INFO] 2020-09-18 15:56:47 > Step: 9400 Progress: 4.7% Elapsed: 1:22:42 temperature: no ada_p: No Discriminator_loss: 1.17885 Generator_loss: 1.20896
[INFO] 2020-09-18 15:57:35 > Step: 9500 Progress: 4.8% Elapsed: 1:23:29 temperature: no ada_p: No Discriminator_loss: 1.28074 Generator_loss: 1.34356
[INFO] 2020-09-18 15:58:23 > Step: 9600 Progress: 4.8% Elapsed: 1:24:17 temperature: no ada_p: No Discriminator_loss: 1.58032 Generator_loss: 0.861055
[INFO] 2020-09-18 15:59:11 > Step: 9700 Progress: 4.9% Elapsed: 1:25:06 temperature: no ada_p: No Discriminator_loss: 1.20767 Generator_loss: 1.06151
[INFO] 2020-09-18 16:00:00 > Step: 9800 Progress: 4.9% Elapsed: 1:25:54 temperature: no ada_p: No Discriminator_loss: 1.33168 Generator_loss: 0.378269
[INFO] 2020-09-18 16:00:48 > Step: 9900 Progress: 5.0% Elapsed: 1:26:42 temperature: no ada_p: No Discriminator_loss: 1.2036 Generator_loss: 1.00339
[INFO] 2020-09-18 16:01:37 > Step: 10000 Progress: 5.0% Elapsed: 1:27:31 temperature: no ada_p: No Discriminator_loss: 1.35146 Generator_loss: 0.26443
[INFO] 2020-09-18 16:01:37 > Start Evaluation (10000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:03:29 > F_8 score (Step: 10000, Using test images): 0.9404481826919364
[INFO] 2020-09-18 16:03:29 > F_1/8 score (Step: 10000, Using test images): 0.9605511651975189
[INFO] 2020-09-18 16:03:29 > FID score (Step: 10000, Using test moments): 27.97691095144421
[INFO] 2020-09-18 16:03:29 > Inception score (Step: 10000, 10000 generated images): 8.427762031555176
[INFO] 2020-09-18 16:03:29 > Best FID score (Step: 10000, Using test moments): 27.97691095144421
[INFO] 2020-09-18 16:03:30 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:04:17 > Step: 10100 Progress: 5.1% Elapsed: 1:30:11 temperature: no ada_p: No Discriminator_loss: 1.149 Generator_loss: 0.793847
[INFO] 2020-09-18 16:05:05 > Step: 10200 Progress: 5.1% Elapsed: 1:30:59 temperature: no ada_p: No Discriminator_loss: 1.07527 Generator_loss: 0.518324
[INFO] 2020-09-18 16:05:52 > Step: 10300 Progress: 5.1% Elapsed: 1:31:46 temperature: no ada_p: No Discriminator_loss: 1.08405 Generator_loss: 1.01892
[INFO] 2020-09-18 16:06:40 > Step: 10400 Progress: 5.2% Elapsed: 1:32:35 temperature: no ada_p: No Discriminator_loss: 1.30465 Generator_loss: 0.540161
[INFO] 2020-09-18 16:07:29 > Step: 10500 Progress: 5.2% Elapsed: 1:33:23 temperature: no ada_p: No Discriminator_loss: 1.06312 Generator_loss: 0.597377
[INFO] 2020-09-18 16:08:16 > Step: 10600 Progress: 5.3% Elapsed: 1:34:10 temperature: no ada_p: No Discriminator_loss: 1.0654 Generator_loss: 0.637573
[INFO] 2020-09-18 16:09:04 > Step: 10700 Progress: 5.3% Elapsed: 1:34:58 temperature: no ada_p: No Discriminator_loss: 1.01985 Generator_loss: 1.15377
[INFO] 2020-09-18 16:09:53 > Step: 10800 Progress: 5.4% Elapsed: 1:35:47 temperature: no ada_p: No Discriminator_loss: 1.13896 Generator_loss: 0.847861
[INFO] 2020-09-18 16:10:41 > Step: 10900 Progress: 5.5% Elapsed: 1:36:35 temperature: no ada_p: No Discriminator_loss: 1.11086 Generator_loss: 1.36715
[INFO] 2020-09-18 16:11:30 > Step: 11000 Progress: 5.5% Elapsed: 1:37:24 temperature: no ada_p: No Discriminator_loss: 1.18112 Generator_loss: 1.05734
[INFO] 2020-09-18 16:12:18 > Step: 11100 Progress: 5.5% Elapsed: 1:38:12 temperature: no ada_p: No Discriminator_loss: 1.20613 Generator_loss: 1.07597
[INFO] 2020-09-18 16:13:05 > Step: 11200 Progress: 5.6% Elapsed: 1:38:59 temperature: no ada_p: No Discriminator_loss: 1.31042 Generator_loss: 0.469427
[INFO] 2020-09-18 16:13:54 > Step: 11300 Progress: 5.7% Elapsed: 1:39:48 temperature: no ada_p: No Discriminator_loss: 1.08251 Generator_loss: 0.381845
[INFO] 2020-09-18 16:14:41 > Step: 11400 Progress: 5.7% Elapsed: 1:40:36 temperature: no ada_p: No Discriminator_loss: 1.16859 Generator_loss: 0.499505
[INFO] 2020-09-18 16:15:30 > Step: 11500 Progress: 5.8% Elapsed: 1:41:24 temperature: no ada_p: No Discriminator_loss: 1.26038 Generator_loss: 0.923042
[INFO] 2020-09-18 16:16:19 > Step: 11600 Progress: 5.8% Elapsed: 1:42:13 temperature: no ada_p: No Discriminator_loss: 0.993442 Generator_loss: 0.664881
[INFO] 2020-09-18 16:17:07 > Step: 11700 Progress: 5.9% Elapsed: 1:43:01 temperature: no ada_p: No Discriminator_loss: 1.02521 Generator_loss: 0.334588
[INFO] 2020-09-18 16:17:56 > Step: 11800 Progress: 5.9% Elapsed: 1:43:50 temperature: no ada_p: No Discriminator_loss: 1.08848 Generator_loss: 1.26878
[INFO] 2020-09-18 16:18:45 > Step: 11900 Progress: 5.9% Elapsed: 1:44:39 temperature: no ada_p: No Discriminator_loss: 1.22259 Generator_loss: 0.452042
[INFO] 2020-09-18 16:19:32 > Step: 12000 Progress: 6.0% Elapsed: 1:45:26 temperature: no ada_p: No Discriminator_loss: 1.23724 Generator_loss: 1.09155
[INFO] 2020-09-18 16:19:32 > Start Evaluation (12000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:21:23 > F_8 score (Step: 12000, Using test images): 0.958093527587724
[INFO] 2020-09-18 16:21:23 > F_1/8 score (Step: 12000, Using test images): 0.9652038868577155
[INFO] 2020-09-18 16:21:23 > FID score (Step: 12000, Using test moments): 24.535585231704033
[INFO] 2020-09-18 16:21:23 > Inception score (Step: 12000, 10000 generated images): 8.65234375
[INFO] 2020-09-18 16:21:23 > Best FID score (Step: 12000, Using test moments): 24.535585231704033
[INFO] 2020-09-18 16:21:24 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:22:12 > Step: 12100 Progress: 6.0% Elapsed: 1:48:06 temperature: no ada_p: No Discriminator_loss: 1.28075 Generator_loss: 0.6756
[INFO] 2020-09-18 16:23:01 > Step: 12200 Progress: 6.1% Elapsed: 1:48:55 temperature: no ada_p: No Discriminator_loss: 1.30266 Generator_loss: 0.464469
[INFO] 2020-09-18 16:23:48 > Step: 12300 Progress: 6.2% Elapsed: 1:49:42 temperature: no ada_p: No Discriminator_loss: 1.14029 Generator_loss: 0.196033
[INFO] 2020-09-18 16:24:37 > Step: 12400 Progress: 6.2% Elapsed: 1:50:31 temperature: no ada_p: No Discriminator_loss: 1.27159 Generator_loss: 1.0051
[INFO] 2020-09-18 16:25:25 > Step: 12500 Progress: 6.2% Elapsed: 1:51:20 temperature: no ada_p: No Discriminator_loss: 1.05635 Generator_loss: 0.435376
[INFO] 2020-09-18 16:26:13 > Step: 12600 Progress: 6.3% Elapsed: 1:52:07 temperature: no ada_p: No Discriminator_loss: 1.1688 Generator_loss: 0.345223
[INFO] 2020-09-18 16:27:01 > Step: 12700 Progress: 6.3% Elapsed: 1:52:55 temperature: no ada_p: No Discriminator_loss: 1.22314 Generator_loss: 0.87264
[INFO] 2020-09-18 16:27:48 > Step: 12800 Progress: 6.4% Elapsed: 1:53:42 temperature: no ada_p: No Discriminator_loss: 1.18206 Generator_loss: 1.04751
[INFO] 2020-09-18 16:28:37 > Step: 12900 Progress: 6.5% Elapsed: 1:54:31 temperature: no ada_p: No Discriminator_loss: 1.02491 Generator_loss: 0.568386
[INFO] 2020-09-18 16:29:26 > Step: 13000 Progress: 6.5% Elapsed: 1:55:21 temperature: no ada_p: No Discriminator_loss: 1.24405 Generator_loss: 1.16547
[INFO] 2020-09-18 16:30:14 > Step: 13100 Progress: 6.6% Elapsed: 1:56:08 temperature: no ada_p: No Discriminator_loss: 1.13192 Generator_loss: 0.719065
[INFO] 2020-09-18 16:31:02 > Step: 13200 Progress: 6.6% Elapsed: 1:56:56 temperature: no ada_p: No Discriminator_loss: 1.10465 Generator_loss: 0.688351
[INFO] 2020-09-18 16:31:50 > Step: 13300 Progress: 6.7% Elapsed: 1:57:44 temperature: no ada_p: No Discriminator_loss: 1.26247 Generator_loss: 1.27731
[INFO] 2020-09-18 16:32:38 > Step: 13400 Progress: 6.7% Elapsed: 1:58:32 temperature: no ada_p: No Discriminator_loss: 1.01012 Generator_loss: 1.04806
[INFO] 2020-09-18 16:33:26 > Step: 13500 Progress: 6.8% Elapsed: 1:59:20 temperature: no ada_p: No Discriminator_loss: 1.19676 Generator_loss: 0.113174
[INFO] 2020-09-18 16:34:14 > Step: 13600 Progress: 6.8% Elapsed: 2:00:08 temperature: no ada_p: No Discriminator_loss: 0.921936 Generator_loss: 0.889591
[INFO] 2020-09-18 16:35:02 > Step: 13700 Progress: 6.9% Elapsed: 2:00:56 temperature: no ada_p: No Discriminator_loss: 1.07113 Generator_loss: 0.223496
[INFO] 2020-09-18 16:35:50 > Step: 13800 Progress: 6.9% Elapsed: 2:01:45 temperature: no ada_p: No Discriminator_loss: 1.11358 Generator_loss: 1.4055
[INFO] 2020-09-18 16:36:39 > Step: 13900 Progress: 7.0% Elapsed: 2:02:33 temperature: no ada_p: No Discriminator_loss: 1.14788 Generator_loss: 1.13557
[INFO] 2020-09-18 16:37:27 > Step: 14000 Progress: 7.0% Elapsed: 2:03:21 temperature: no ada_p: No Discriminator_loss: 1.00198 Generator_loss: 1.24778
[INFO] 2020-09-18 16:37:27 > Start Evaluation (14000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:39:19 > F_8 score (Step: 14000, Using test images): 0.9630669239253791
[INFO] 2020-09-18 16:39:19 > F_1/8 score (Step: 14000, Using test images): 0.9685984704270251
[INFO] 2020-09-18 16:39:19 > FID score (Step: 14000, Using test moments): 21.418023130384768
[INFO] 2020-09-18 16:39:19 > Inception score (Step: 14000, 10000 generated images): 8.871191024780273
[INFO] 2020-09-18 16:39:19 > Best FID score (Step: 14000, Using test moments): 21.418023130384768
[INFO] 2020-09-18 16:39:19 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:40:07 > Step: 14100 Progress: 7.0% Elapsed: 2:06:01 temperature: no ada_p: No Discriminator_loss: 1.23842 Generator_loss: 1.00671
[INFO] 2020-09-18 16:40:55 > Step: 14200 Progress: 7.1% Elapsed: 2:06:49 temperature: no ada_p: No Discriminator_loss: 1.33535 Generator_loss: 1.21465
[INFO] 2020-09-18 16:41:43 > Step: 14300 Progress: 7.1% Elapsed: 2:07:38 temperature: no ada_p: No Discriminator_loss: 1.10862 Generator_loss: 0.851259
[INFO] 2020-09-18 16:42:33 > Step: 14400 Progress: 7.2% Elapsed: 2:08:27 temperature: no ada_p: No Discriminator_loss: 1.34704 Generator_loss: 0.183035
[INFO] 2020-09-18 16:43:20 > Step: 14500 Progress: 7.2% Elapsed: 2:09:14 temperature: no ada_p: No Discriminator_loss: 1.21798 Generator_loss: 0.662432
[INFO] 2020-09-18 16:44:08 > Step: 14600 Progress: 7.3% Elapsed: 2:10:03 temperature: no ada_p: No Discriminator_loss: 1.09283 Generator_loss: 1.0435
[INFO] 2020-09-18 16:44:57 > Step: 14700 Progress: 7.3% Elapsed: 2:10:51 temperature: no ada_p: No Discriminator_loss: 1.1614 Generator_loss: 1.76968
[INFO] 2020-09-18 16:45:45 > Step: 14800 Progress: 7.4% Elapsed: 2:11:39 temperature: no ada_p: No Discriminator_loss: 1.30484 Generator_loss: 0.259624
[INFO] 2020-09-18 16:46:33 > Step: 14900 Progress: 7.4% Elapsed: 2:12:27 temperature: no ada_p: No Discriminator_loss: 1.08553 Generator_loss: 0.695393
[INFO] 2020-09-18 16:47:21 > Step: 15000 Progress: 7.5% Elapsed: 2:13:16 temperature: no ada_p: No Discriminator_loss: 0.901013 Generator_loss: 0.910965
[INFO] 2020-09-18 16:48:09 > Step: 15100 Progress: 7.5% Elapsed: 2:14:03 temperature: no ada_p: No Discriminator_loss: 0.940459 Generator_loss: 1.09435
[INFO] 2020-09-18 16:48:58 > Step: 15200 Progress: 7.6% Elapsed: 2:14:52 temperature: no ada_p: No Discriminator_loss: 0.955344 Generator_loss: 0.722646
[INFO] 2020-09-18 16:49:46 > Step: 15300 Progress: 7.6% Elapsed: 2:15:41 temperature: no ada_p: No Discriminator_loss: 1.22106 Generator_loss: 0.430725
[INFO] 2020-09-18 16:50:35 > Step: 15400 Progress: 7.7% Elapsed: 2:16:29 temperature: no ada_p: No Discriminator_loss: 1.31054 Generator_loss: 0.462669
[INFO] 2020-09-18 16:51:23 > Step: 15500 Progress: 7.8% Elapsed: 2:17:17 temperature: no ada_p: No Discriminator_loss: 1.12388 Generator_loss: 1.02738
[INFO] 2020-09-18 16:52:11 > Step: 15600 Progress: 7.8% Elapsed: 2:18:05 temperature: no ada_p: No Discriminator_loss: 1.11429 Generator_loss: 0.474676
[INFO] 2020-09-18 16:53:00 > Step: 15700 Progress: 7.8% Elapsed: 2:18:54 temperature: no ada_p: No Discriminator_loss: 1.11711 Generator_loss: 0.760906
[INFO] 2020-09-18 16:53:49 > Step: 15800 Progress: 7.9% Elapsed: 2:19:43 temperature: no ada_p: No Discriminator_loss: 1.05356 Generator_loss: 0.0215483
[INFO] 2020-09-18 16:54:37 > Step: 15900 Progress: 8.0% Elapsed: 2:20:31 temperature: no ada_p: No Discriminator_loss: 1.08966 Generator_loss: 0.23234
[INFO] 2020-09-18 16:55:25 > Step: 16000 Progress: 8.0% Elapsed: 2:21:19 temperature: no ada_p: No Discriminator_loss: 1.21166 Generator_loss: 0.935012
[INFO] 2020-09-18 16:55:25 > Start Evaluation (16000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:57:15 > F_8 score (Step: 16000, Using test images): 0.9681457440946165
[INFO] 2020-09-18 16:57:15 > F_1/8 score (Step: 16000, Using test images): 0.9740768329717738
[INFO] 2020-09-18 16:57:15 > FID score (Step: 16000, Using test moments): 19.484231475964066
[INFO] 2020-09-18 16:57:15 > Inception score (Step: 16000, 10000 generated images): 9.110804557800293
[INFO] 2020-09-18 16:57:15 > Best FID score (Step: 16000, Using test moments): 19.484231475964066
[INFO] 2020-09-18 16:57:16 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 16:58:04 > Step: 16100 Progress: 8.1% Elapsed: 2:23:58 temperature: no ada_p: No Discriminator_loss: 1.21557 Generator_loss: 0.561985
[INFO] 2020-09-18 16:58:52 > Step: 16200 Progress: 8.1% Elapsed: 2:24:46 temperature: no ada_p: No Discriminator_loss: 1.14336 Generator_loss: 0.904154
[INFO] 2020-09-18 16:59:40 > Step: 16300 Progress: 8.2% Elapsed: 2:25:34 temperature: no ada_p: No Discriminator_loss: 1.24046 Generator_loss: 0.8359
[INFO] 2020-09-18 17:00:28 > Step: 16400 Progress: 8.2% Elapsed: 2:26:22 temperature: no ada_p: No Discriminator_loss: 1.01317 Generator_loss: 1.04701
[INFO] 2020-09-18 17:01:18 > Step: 16500 Progress: 8.2% Elapsed: 2:27:12 temperature: no ada_p: No Discriminator_loss: 1.19068 Generator_loss: 0.854587
[INFO] 2020-09-18 17:02:06 > Step: 16600 Progress: 8.3% Elapsed: 2:28:00 temperature: no ada_p: No Discriminator_loss: 1.31629 Generator_loss: 1.22109
[INFO] 2020-09-18 17:02:54 > Step: 16700 Progress: 8.3% Elapsed: 2:28:48 temperature: no ada_p: No Discriminator_loss: 0.850559 Generator_loss: 1.41609
[INFO] 2020-09-18 17:03:42 > Step: 16800 Progress: 8.4% Elapsed: 2:29:36 temperature: no ada_p: No Discriminator_loss: 1.39478 Generator_loss: 1.0775
[INFO] 2020-09-18 17:04:31 > Step: 16900 Progress: 8.5% Elapsed: 2:30:25 temperature: no ada_p: No Discriminator_loss: 1.04087 Generator_loss: 0.646006
[INFO] 2020-09-18 17:05:18 > Step: 17000 Progress: 8.5% Elapsed: 2:31:12 temperature: no ada_p: No Discriminator_loss: 1.29727 Generator_loss: 0.479588
[INFO] 2020-09-18 17:06:06 > Step: 17100 Progress: 8.6% Elapsed: 2:32:00 temperature: no ada_p: No Discriminator_loss: 1.1424 Generator_loss: 0.71603
[INFO] 2020-09-18 17:06:54 > Step: 17200 Progress: 8.6% Elapsed: 2:32:49 temperature: no ada_p: No Discriminator_loss: 1.23748 Generator_loss: 0.866863
[INFO] 2020-09-18 17:07:42 > Step: 17300 Progress: 8.6% Elapsed: 2:33:36 temperature: no ada_p: No Discriminator_loss: 1.05787 Generator_loss: 0.515774
[INFO] 2020-09-18 17:08:31 > Step: 17400 Progress: 8.7% Elapsed: 2:34:25 temperature: no ada_p: No Discriminator_loss: 1.17642 Generator_loss: 0.324966
[INFO] 2020-09-18 17:09:19 > Step: 17500 Progress: 8.8% Elapsed: 2:35:13 temperature: no ada_p: No Discriminator_loss: 0.961675 Generator_loss: 0.629434
[INFO] 2020-09-18 17:10:06 > Step: 17600 Progress: 8.8% Elapsed: 2:36:01 temperature: no ada_p: No Discriminator_loss: 1.39263 Generator_loss: -0.357329
[INFO] 2020-09-18 17:10:54 > Step: 17700 Progress: 8.8% Elapsed: 2:36:48 temperature: no ada_p: No Discriminator_loss: 0.899741 Generator_loss: 0.249457
[INFO] 2020-09-18 17:11:42 > Step: 17800 Progress: 8.9% Elapsed: 2:37:36 temperature: no ada_p: No Discriminator_loss: 1.1683 Generator_loss: 1.18773
[INFO] 2020-09-18 17:12:30 > Step: 17900 Progress: 8.9% Elapsed: 2:38:24 temperature: no ada_p: No Discriminator_loss: 0.88698 Generator_loss: 0.633869
[INFO] 2020-09-18 17:13:18 > Step: 18000 Progress: 9.0% Elapsed: 2:39:12 temperature: no ada_p: No Discriminator_loss: 1.111 Generator_loss: 0.690637
[INFO] 2020-09-18 17:13:18 > Start Evaluation (18000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:15:10 > F_8 score (Step: 18000, Using test images): 0.9681171838228506
[INFO] 2020-09-18 17:15:10 > F_1/8 score (Step: 18000, Using test images): 0.9783519243194924
[INFO] 2020-09-18 17:15:10 > FID score (Step: 18000, Using test moments): 18.41286794401543
[INFO] 2020-09-18 17:15:10 > Inception score (Step: 18000, 10000 generated images): 9.227836608886719
[INFO] 2020-09-18 17:15:10 > Best FID score (Step: 18000, Using test moments): 18.41286794401543
[INFO] 2020-09-18 17:15:10 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:15:58 > Step: 18100 Progress: 9.0% Elapsed: 2:41:52 temperature: no ada_p: No Discriminator_loss: 1.15391 Generator_loss: 1.07641
[INFO] 2020-09-18 17:16:46 > Step: 18200 Progress: 9.1% Elapsed: 2:42:40 temperature: no ada_p: No Discriminator_loss: 1.19153 Generator_loss: 1.55515
[INFO] 2020-09-18 17:17:35 > Step: 18300 Progress: 9.2% Elapsed: 2:43:29 temperature: no ada_p: No Discriminator_loss: 1.06742 Generator_loss: 0.790544
[INFO] 2020-09-18 17:18:22 > Step: 18400 Progress: 9.2% Elapsed: 2:44:16 temperature: no ada_p: No Discriminator_loss: 1.28716 Generator_loss: 0.756068
[INFO] 2020-09-18 17:19:10 > Step: 18500 Progress: 9.2% Elapsed: 2:45:04 temperature: no ada_p: No Discriminator_loss: 1.18794 Generator_loss: 0.875279
[INFO] 2020-09-18 17:19:58 > Step: 18600 Progress: 9.3% Elapsed: 2:45:53 temperature: no ada_p: No Discriminator_loss: 1.16106 Generator_loss: 1.03535
[INFO] 2020-09-18 17:20:46 > Step: 18700 Progress: 9.3% Elapsed: 2:46:40 temperature: no ada_p: No Discriminator_loss: 1.18426 Generator_loss: 0.453782
[INFO] 2020-09-18 17:21:35 > Step: 18800 Progress: 9.4% Elapsed: 2:47:29 temperature: no ada_p: No Discriminator_loss: 1.01784 Generator_loss: 0.586046
[INFO] 2020-09-18 17:22:22 > Step: 18900 Progress: 9.4% Elapsed: 2:48:16 temperature: no ada_p: No Discriminator_loss: 1.17002 Generator_loss: 1.13285
[INFO] 2020-09-18 17:23:10 > Step: 19000 Progress: 9.5% Elapsed: 2:49:04 temperature: no ada_p: No Discriminator_loss: 1.06663 Generator_loss: 0.204058
[INFO] 2020-09-18 17:23:58 > Step: 19100 Progress: 9.6% Elapsed: 2:49:53 temperature: no ada_p: No Discriminator_loss: 1.23927 Generator_loss: 1.39261
[INFO] 2020-09-18 17:24:46 > Step: 19200 Progress: 9.6% Elapsed: 2:50:40 temperature: no ada_p: No Discriminator_loss: 1.18143 Generator_loss: 0.874441
[INFO] 2020-09-18 17:25:36 > Step: 19300 Progress: 9.7% Elapsed: 2:51:30 temperature: no ada_p: No Discriminator_loss: 1.1839 Generator_loss: 1.25862
[INFO] 2020-09-18 17:26:24 > Step: 19400 Progress: 9.7% Elapsed: 2:52:18 temperature: no ada_p: No Discriminator_loss: 1.15183 Generator_loss: 0.884271
[INFO] 2020-09-18 17:27:11 > Step: 19500 Progress: 9.8% Elapsed: 2:53:06 temperature: no ada_p: No Discriminator_loss: 1.00438 Generator_loss: 1.13817
[INFO] 2020-09-18 17:28:00 > Step: 19600 Progress: 9.8% Elapsed: 2:53:54 temperature: no ada_p: No Discriminator_loss: 0.998321 Generator_loss: 1.10351
[INFO] 2020-09-18 17:28:48 > Step: 19700 Progress: 9.8% Elapsed: 2:54:43 temperature: no ada_p: No Discriminator_loss: 0.964355 Generator_loss: 0.89988
[INFO] 2020-09-18 17:29:36 > Step: 19800 Progress: 9.9% Elapsed: 2:55:30 temperature: no ada_p: No Discriminator_loss: 1.18067 Generator_loss: 0.772339
[INFO] 2020-09-18 17:30:24 > Step: 19900 Progress: 10.0% Elapsed: 2:56:18 temperature: no ada_p: No Discriminator_loss: 1.03007 Generator_loss: 0.601259
[INFO] 2020-09-18 17:31:13 > Step: 20000 Progress: 10.0% Elapsed: 2:57:07 temperature: no ada_p: No Discriminator_loss: 1.27302 Generator_loss: 0.954441
[INFO] 2020-09-18 17:31:13 > Start Evaluation (20000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:33:04 > F_8 score (Step: 20000, Using test images): 0.967500924160581
[INFO] 2020-09-18 17:33:04 > F_1/8 score (Step: 20000, Using test images): 0.9779231358754696
[INFO] 2020-09-18 17:33:04 > FID score (Step: 20000, Using test moments): 16.310253903205137
[INFO] 2020-09-18 17:33:04 > Inception score (Step: 20000, 10000 generated images): 9.30704116821289
[INFO] 2020-09-18 17:33:04 > Best FID score (Step: 20000, Using test moments): 16.310253903205137
[INFO] 2020-09-18 17:33:05 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:33:52 > Step: 20100 Progress: 10.1% Elapsed: 2:59:46 temperature: no ada_p: No Discriminator_loss: 1.18092 Generator_loss: 0.835195
[INFO] 2020-09-18 17:34:40 > Step: 20200 Progress: 10.1% Elapsed: 3:00:34 temperature: no ada_p: No Discriminator_loss: 1.37396 Generator_loss: 1.28359
[INFO] 2020-09-18 17:35:28 > Step: 20300 Progress: 10.2% Elapsed: 3:01:22 temperature: no ada_p: No Discriminator_loss: 1.1973 Generator_loss: 0.819946
[INFO] 2020-09-18 17:36:16 > Step: 20400 Progress: 10.2% Elapsed: 3:02:10 temperature: no ada_p: No Discriminator_loss: 1.39977 Generator_loss: -0.142651
[INFO] 2020-09-18 17:37:04 > Step: 20500 Progress: 10.2% Elapsed: 3:02:58 temperature: no ada_p: No Discriminator_loss: 1.04659 Generator_loss: 1.18672
[INFO] 2020-09-18 17:37:52 > Step: 20600 Progress: 10.3% Elapsed: 3:03:46 temperature: no ada_p: No Discriminator_loss: 1.35062 Generator_loss: 1.08965
[INFO] 2020-09-18 17:38:40 > Step: 20700 Progress: 10.3% Elapsed: 3:04:34 temperature: no ada_p: No Discriminator_loss: 0.995306 Generator_loss: 0.884365
[INFO] 2020-09-18 17:39:28 > Step: 20800 Progress: 10.4% Elapsed: 3:05:23 temperature: no ada_p: No Discriminator_loss: 1.16372 Generator_loss: 0.751659
[INFO] 2020-09-18 17:40:16 > Step: 20900 Progress: 10.4% Elapsed: 3:06:11 temperature: no ada_p: No Discriminator_loss: 1.13325 Generator_loss: 0.67759
[INFO] 2020-09-18 17:41:05 > Step: 21000 Progress: 10.5% Elapsed: 3:06:59 temperature: no ada_p: No Discriminator_loss: 1.37627 Generator_loss: 0.0405672
[INFO] 2020-09-18 17:41:54 > Step: 21100 Progress: 10.5% Elapsed: 3:07:48 temperature: no ada_p: No Discriminator_loss: 0.770469 Generator_loss: 1.01815
[INFO] 2020-09-18 17:42:41 > Step: 21200 Progress: 10.6% Elapsed: 3:08:36 temperature: no ada_p: No Discriminator_loss: 1.15885 Generator_loss: 1.34744
[INFO] 2020-09-18 17:43:30 > Step: 21300 Progress: 10.7% Elapsed: 3:09:24 temperature: no ada_p: No Discriminator_loss: 1.15466 Generator_loss: 0.749249
[INFO] 2020-09-18 17:44:18 > Step: 21400 Progress: 10.7% Elapsed: 3:10:12 temperature: no ada_p: No Discriminator_loss: 1.08255 Generator_loss: 1.46407
[INFO] 2020-09-18 17:45:06 > Step: 21500 Progress: 10.8% Elapsed: 3:11:00 temperature: no ada_p: No Discriminator_loss: 1.15956 Generator_loss: 0.882716
[INFO] 2020-09-18 17:45:54 > Step: 21600 Progress: 10.8% Elapsed: 3:11:48 temperature: no ada_p: No Discriminator_loss: 1.08063 Generator_loss: 0.689068
[INFO] 2020-09-18 17:46:42 > Step: 21700 Progress: 10.8% Elapsed: 3:12:36 temperature: no ada_p: No Discriminator_loss: 1.33906 Generator_loss: 0.264217
[INFO] 2020-09-18 17:47:30 > Step: 21800 Progress: 10.9% Elapsed: 3:13:24 temperature: no ada_p: No Discriminator_loss: 1.16989 Generator_loss: 0.754449
[INFO] 2020-09-18 17:48:18 > Step: 21900 Progress: 10.9% Elapsed: 3:14:13 temperature: no ada_p: No Discriminator_loss: 1.29983 Generator_loss: 1.1642
[INFO] 2020-09-18 17:49:06 > Step: 22000 Progress: 11.0% Elapsed: 3:15:00 temperature: no ada_p: No Discriminator_loss: 1.20704 Generator_loss: 0.599724
[INFO] 2020-09-18 17:49:06 > Start Evaluation (22000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:50:58 > F_8 score (Step: 22000, Using test images): 0.9755164225843156
[INFO] 2020-09-18 17:50:58 > F_1/8 score (Step: 22000, Using test images): 0.9845348491405714
[INFO] 2020-09-18 17:50:58 > FID score (Step: 22000, Using test moments): 15.915729063314075
[INFO] 2020-09-18 17:50:58 > Inception score (Step: 22000, 10000 generated images): 9.396052360534668
[INFO] 2020-09-18 17:50:58 > Best FID score (Step: 22000, Using test moments): 15.915729063314075
[INFO] 2020-09-18 17:50:59 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 17:51:47 > Step: 22100 Progress: 11.1% Elapsed: 3:17:41 temperature: no ada_p: No Discriminator_loss: 1.18831 Generator_loss: 1.3533
[INFO] 2020-09-18 17:52:35 > Step: 22200 Progress: 11.1% Elapsed: 3:18:29 temperature: no ada_p: No Discriminator_loss: 1.11635 Generator_loss: 0.820769
[INFO] 2020-09-18 17:53:23 > Step: 22300 Progress: 11.2% Elapsed: 3:19:17 temperature: no ada_p: No Discriminator_loss: 1.11398 Generator_loss: 1.35746
[INFO] 2020-09-18 17:54:11 > Step: 22400 Progress: 11.2% Elapsed: 3:20:05 temperature: no ada_p: No Discriminator_loss: 1.17833 Generator_loss: 0.642792
[INFO] 2020-09-18 17:54:59 > Step: 22500 Progress: 11.2% Elapsed: 3:20:53 temperature: no ada_p: No Discriminator_loss: 1.47143 Generator_loss: 0.565204
[INFO] 2020-09-18 17:55:47 > Step: 22600 Progress: 11.3% Elapsed: 3:21:41 temperature: no ada_p: No Discriminator_loss: 1.22295 Generator_loss: 0.0866001
[INFO] 2020-09-18 17:56:35 > Step: 22700 Progress: 11.3% Elapsed: 3:22:29 temperature: no ada_p: No Discriminator_loss: 1.08416 Generator_loss: 0.789764
[INFO] 2020-09-18 17:57:23 > Step: 22800 Progress: 11.4% Elapsed: 3:23:17 temperature: no ada_p: No Discriminator_loss: 1.17026 Generator_loss: 0.748904
[INFO] 2020-09-18 17:58:11 > Step: 22900 Progress: 11.5% Elapsed: 3:24:05 temperature: no ada_p: No Discriminator_loss: 1.12771 Generator_loss: 0.710467
[INFO] 2020-09-18 17:58:59 > Step: 23000 Progress: 11.5% Elapsed: 3:24:53 temperature: no ada_p: No Discriminator_loss: 1.39282 Generator_loss: 0.855982
[INFO] 2020-09-18 17:59:47 > Step: 23100 Progress: 11.6% Elapsed: 3:25:41 temperature: no ada_p: No Discriminator_loss: 1.60067 Generator_loss: 0.228518
[INFO] 2020-09-18 18:00:36 > Step: 23200 Progress: 11.6% Elapsed: 3:26:30 temperature: no ada_p: No Discriminator_loss: 1.07182 Generator_loss: 0.423749
[INFO] 2020-09-18 18:01:24 > Step: 23300 Progress: 11.7% Elapsed: 3:27:18 temperature: no ada_p: No Discriminator_loss: 1.11696 Generator_loss: 0.637458
[INFO] 2020-09-18 18:02:11 > Step: 23400 Progress: 11.7% Elapsed: 3:28:05 temperature: no ada_p: No Discriminator_loss: 1.47734 Generator_loss: 0.771325
[INFO] 2020-09-18 18:02:59 > Step: 23500 Progress: 11.8% Elapsed: 3:28:54 temperature: no ada_p: No Discriminator_loss: 1.38254 Generator_loss: 1.00993
[INFO] 2020-09-18 18:03:48 > Step: 23600 Progress: 11.8% Elapsed: 3:29:42 temperature: no ada_p: No Discriminator_loss: 1.12212 Generator_loss: 0.737485
[INFO] 2020-09-18 18:04:35 > Step: 23700 Progress: 11.8% Elapsed: 3:30:29 temperature: no ada_p: No Discriminator_loss: 1.14371 Generator_loss: 0.283346
[INFO] 2020-09-18 18:05:23 > Step: 23800 Progress: 11.9% Elapsed: 3:31:17 temperature: no ada_p: No Discriminator_loss: 0.946853 Generator_loss: 0.937508
[INFO] 2020-09-18 18:06:12 > Step: 23900 Progress: 11.9% Elapsed: 3:32:06 temperature: no ada_p: No Discriminator_loss: 1.19191 Generator_loss: 0.448529
[INFO] 2020-09-18 18:07:00 > Step: 24000 Progress: 12.0% Elapsed: 3:32:54 temperature: no ada_p: No Discriminator_loss: 1.10722 Generator_loss: 0.42696
[INFO] 2020-09-18 18:07:00 > Start Evaluation (24000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:08:52 > F_8 score (Step: 24000, Using test images): 0.9726865870530563
[INFO] 2020-09-18 18:08:52 > F_1/8 score (Step: 24000, Using test images): 0.9851112574384963
[INFO] 2020-09-18 18:08:52 > FID score (Step: 24000, Using test moments): 15.086606864735472
[INFO] 2020-09-18 18:08:52 > Inception score (Step: 24000, 10000 generated images): 9.331709861755371
[INFO] 2020-09-18 18:08:52 > Best FID score (Step: 24000, Using test moments): 15.086606864735472
[INFO] 2020-09-18 18:08:53 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:09:40 > Step: 24100 Progress: 12.0% Elapsed: 3:35:34 temperature: no ada_p: No Discriminator_loss: 1.091 Generator_loss: 1.24255
[INFO] 2020-09-18 18:10:29 > Step: 24200 Progress: 12.1% Elapsed: 3:36:23 temperature: no ada_p: No Discriminator_loss: 1.1514 Generator_loss: 1.55521
[INFO] 2020-09-18 18:11:18 > Step: 24300 Progress: 12.2% Elapsed: 3:37:12 temperature: no ada_p: No Discriminator_loss: 1.09938 Generator_loss: 0.208176
[INFO] 2020-09-18 18:12:06 > Step: 24400 Progress: 12.2% Elapsed: 3:38:00 temperature: no ada_p: No Discriminator_loss: 1.2025 Generator_loss: 1.23006
[INFO] 2020-09-18 18:12:53 > Step: 24500 Progress: 12.2% Elapsed: 3:38:47 temperature: no ada_p: No Discriminator_loss: 1.23932 Generator_loss: 0.978859
[INFO] 2020-09-18 18:13:41 > Step: 24600 Progress: 12.3% Elapsed: 3:39:36 temperature: no ada_p: No Discriminator_loss: 1.28499 Generator_loss: 0.983378
[INFO] 2020-09-18 18:14:30 > Step: 24700 Progress: 12.3% Elapsed: 3:40:24 temperature: no ada_p: No Discriminator_loss: 1.32879 Generator_loss: 1.0136
[INFO] 2020-09-18 18:15:17 > Step: 24800 Progress: 12.4% Elapsed: 3:41:11 temperature: no ada_p: No Discriminator_loss: 1.00786 Generator_loss: 0.801411
[INFO] 2020-09-18 18:16:07 > Step: 24900 Progress: 12.4% Elapsed: 3:42:01 temperature: no ada_p: No Discriminator_loss: 0.919702 Generator_loss: 0.291339
[INFO] 2020-09-18 18:16:55 > Step: 25000 Progress: 12.5% Elapsed: 3:42:49 temperature: no ada_p: No Discriminator_loss: 0.903071 Generator_loss: 1.19784
[INFO] 2020-09-18 18:17:43 > Step: 25100 Progress: 12.6% Elapsed: 3:43:37 temperature: no ada_p: No Discriminator_loss: 1.13837 Generator_loss: 0.645326
[INFO] 2020-09-18 18:18:31 > Step: 25200 Progress: 12.6% Elapsed: 3:44:25 temperature: no ada_p: No Discriminator_loss: 1.00493 Generator_loss: 0.351312
[INFO] 2020-09-18 18:19:19 > Step: 25300 Progress: 12.7% Elapsed: 3:45:13 temperature: no ada_p: No Discriminator_loss: 0.87586 Generator_loss: 0.81953
[INFO] 2020-09-18 18:20:08 > Step: 25400 Progress: 12.7% Elapsed: 3:46:02 temperature: no ada_p: No Discriminator_loss: 1.12609 Generator_loss: 0.524803
[INFO] 2020-09-18 18:20:56 > Step: 25500 Progress: 12.8% Elapsed: 3:46:50 temperature: no ada_p: No Discriminator_loss: 1.22713 Generator_loss: 0.640764
[INFO] 2020-09-18 18:21:44 > Step: 25600 Progress: 12.8% Elapsed: 3:47:38 temperature: no ada_p: No Discriminator_loss: 1.20734 Generator_loss: 0.642296
[INFO] 2020-09-18 18:22:32 > Step: 25700 Progress: 12.8% Elapsed: 3:48:26 temperature: no ada_p: No Discriminator_loss: 0.95576 Generator_loss: 0.583028
[INFO] 2020-09-18 18:23:20 > Step: 25800 Progress: 12.9% Elapsed: 3:49:14 temperature: no ada_p: No Discriminator_loss: 1.23089 Generator_loss: 0.342084
[INFO] 2020-09-18 18:24:08 > Step: 25900 Progress: 13.0% Elapsed: 3:50:02 temperature: no ada_p: No Discriminator_loss: 0.977042 Generator_loss: 0.745752
[INFO] 2020-09-18 18:24:56 > Step: 26000 Progress: 13.0% Elapsed: 3:50:50 temperature: no ada_p: No Discriminator_loss: 1.28508 Generator_loss: 1.06234
[INFO] 2020-09-18 18:24:56 > Start Evaluation (26000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:26:46 > F_8 score (Step: 26000, Using test images): 0.9801298613941887
[INFO] 2020-09-18 18:26:46 > F_1/8 score (Step: 26000, Using test images): 0.9845912111627131
[INFO] 2020-09-18 18:26:46 > FID score (Step: 26000, Using test moments): 14.265821935682823
[INFO] 2020-09-18 18:26:46 > Inception score (Step: 26000, 10000 generated images): 9.313756942749023
[INFO] 2020-09-18 18:26:46 > Best FID score (Step: 26000, Using test moments): 14.265821935682823
[INFO] 2020-09-18 18:26:47 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:27:35 > Step: 26100 Progress: 13.1% Elapsed: 3:53:29 temperature: no ada_p: No Discriminator_loss: 1.22771 Generator_loss: 0.750169
[INFO] 2020-09-18 18:28:22 > Step: 26200 Progress: 13.1% Elapsed: 3:54:16 temperature: no ada_p: No Discriminator_loss: 0.958813 Generator_loss: 1.32325
[INFO] 2020-09-18 18:29:10 > Step: 26300 Progress: 13.2% Elapsed: 3:55:04 temperature: no ada_p: No Discriminator_loss: 1.1464 Generator_loss: 0.508604
[INFO] 2020-09-18 18:29:59 > Step: 26400 Progress: 13.2% Elapsed: 3:55:53 temperature: no ada_p: No Discriminator_loss: 0.804267 Generator_loss: 0.499211
[INFO] 2020-09-18 18:30:46 > Step: 26500 Progress: 13.2% Elapsed: 3:56:40 temperature: no ada_p: No Discriminator_loss: 1.25944 Generator_loss: 0.830167
[INFO] 2020-09-18 18:31:34 > Step: 26600 Progress: 13.3% Elapsed: 3:57:28 temperature: no ada_p: No Discriminator_loss: 1.12782 Generator_loss: 1.20693
[INFO] 2020-09-18 18:32:21 > Step: 26700 Progress: 13.4% Elapsed: 3:58:15 temperature: no ada_p: No Discriminator_loss: 0.933826 Generator_loss: -0.0668303
[INFO] 2020-09-18 18:33:09 > Step: 26800 Progress: 13.4% Elapsed: 3:59:03 temperature: no ada_p: No Discriminator_loss: 1.10207 Generator_loss: 1.10157
[INFO] 2020-09-18 18:33:57 > Step: 26900 Progress: 13.5% Elapsed: 3:59:52 temperature: no ada_p: No Discriminator_loss: 1.35976 Generator_loss: 0.346468
[INFO] 2020-09-18 18:34:46 > Step: 27000 Progress: 13.5% Elapsed: 4:00:40 temperature: no ada_p: No Discriminator_loss: 1.10994 Generator_loss: -0.111638
[INFO] 2020-09-18 18:35:33 > Step: 27100 Progress: 13.6% Elapsed: 4:01:28 temperature: no ada_p: No Discriminator_loss: 1.04707 Generator_loss: 1.13585
[INFO] 2020-09-18 18:36:22 > Step: 27200 Progress: 13.6% Elapsed: 4:02:16 temperature: no ada_p: No Discriminator_loss: 0.954462 Generator_loss: 1.07897
[INFO] 2020-09-18 18:37:10 > Step: 27300 Progress: 13.7% Elapsed: 4:03:04 temperature: no ada_p: No Discriminator_loss: 1.03429 Generator_loss: 0.202272
[INFO] 2020-09-18 18:37:58 > Step: 27400 Progress: 13.7% Elapsed: 4:03:52 temperature: no ada_p: No Discriminator_loss: 1.14778 Generator_loss: 0.32541
[INFO] 2020-09-18 18:38:46 > Step: 27500 Progress: 13.8% Elapsed: 4:04:40 temperature: no ada_p: No Discriminator_loss: 1.2069 Generator_loss: 1.12992
[INFO] 2020-09-18 18:39:33 > Step: 27600 Progress: 13.8% Elapsed: 4:05:27 temperature: no ada_p: No Discriminator_loss: 1.09343 Generator_loss: 0.640939
[INFO] 2020-09-18 18:40:22 > Step: 27700 Progress: 13.9% Elapsed: 4:06:16 temperature: no ada_p: No Discriminator_loss: 0.976215 Generator_loss: 0.739377
[INFO] 2020-09-18 18:41:09 > Step: 27800 Progress: 13.9% Elapsed: 4:07:03 temperature: no ada_p: No Discriminator_loss: 1.19254 Generator_loss: 0.873235
[INFO] 2020-09-18 18:41:57 > Step: 27900 Progress: 14.0% Elapsed: 4:07:51 temperature: no ada_p: No Discriminator_loss: 1.04644 Generator_loss: 0.813275
[INFO] 2020-09-18 18:42:46 > Step: 28000 Progress: 14.0% Elapsed: 4:08:40 temperature: no ada_p: No Discriminator_loss: 1.27008 Generator_loss: 0.644673
[INFO] 2020-09-18 18:42:46 > Start Evaluation (28000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:44:37 > F_8 score (Step: 28000, Using test images): 0.9787753360854325
[INFO] 2020-09-18 18:44:37 > F_1/8 score (Step: 28000, Using test images): 0.984515742324516
[INFO] 2020-09-18 18:44:37 > FID score (Step: 28000, Using test moments): 13.483060291612333
[INFO] 2020-09-18 18:44:37 > Inception score (Step: 28000, 10000 generated images): 9.406648635864258
[INFO] 2020-09-18 18:44:37 > Best FID score (Step: 28000, Using test moments): 13.483060291612333
[INFO] 2020-09-18 18:44:38 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 18:45:25 > Step: 28100 Progress: 14.1% Elapsed: 4:11:19 temperature: no ada_p: No Discriminator_loss: 1.10416 Generator_loss: 1.04395
[INFO] 2020-09-18 18:46:13 > Step: 28200 Progress: 14.1% Elapsed: 4:12:07 temperature: no ada_p: No Discriminator_loss: 0.977443 Generator_loss: 1.18598
[INFO] 2020-09-18 18:47:02 > Step: 28300 Progress: 14.1% Elapsed: 4:12:56 temperature: no ada_p: No Discriminator_loss: 0.961074 Generator_loss: 0.80902
[INFO] 2020-09-18 18:47:50 > Step: 28400 Progress: 14.2% Elapsed: 4:13:44 temperature: no ada_p: No Discriminator_loss: 1.30702 Generator_loss: -0.0192904
[INFO] 2020-09-18 18:48:38 > Step: 28500 Progress: 14.2% Elapsed: 4:14:32 temperature: no ada_p: No Discriminator_loss: 1.20534 Generator_loss: 1.25365
[INFO] 2020-09-18 18:49:26 > Step: 28600 Progress: 14.3% Elapsed: 4:15:20 temperature: no ada_p: No Discriminator_loss: 1.28854 Generator_loss: 0.600881
[INFO] 2020-09-18 18:50:14 > Step: 28700 Progress: 14.3% Elapsed: 4:16:08 temperature: no ada_p: No Discriminator_loss: 1.21359 Generator_loss: 0.782061
[INFO] 2020-09-18 18:51:02 > Step: 28800 Progress: 14.4% Elapsed: 4:16:57 temperature: no ada_p: No Discriminator_loss: 1.21962 Generator_loss: 0.971747
[INFO] 2020-09-18 18:51:51 > Step: 28900 Progress: 14.4% Elapsed: 4:17:45 temperature: no ada_p: No Discriminator_loss: 0.95381 Generator_loss: 0.62643
[INFO] 2020-09-18 18:52:39 > Step: 29000 Progress: 14.5% Elapsed: 4:18:34 temperature: no ada_p: No Discriminator_loss: 0.941093 Generator_loss: 0.912493
[INFO] 2020-09-18 18:53:28 > Step: 29100 Progress: 14.5% Elapsed: 4:19:22 temperature: no ada_p: No Discriminator_loss: 1.0785 Generator_loss: 0.544747
[INFO] 2020-09-18 18:54:16 > Step: 29200 Progress: 14.6% Elapsed: 4:20:10 temperature: no ada_p: No Discriminator_loss: 1.17149 Generator_loss: 0.462141
[INFO] 2020-09-18 18:55:04 > Step: 29300 Progress: 14.6% Elapsed: 4:20:58 temperature: no ada_p: No Discriminator_loss: 1.06206 Generator_loss: 0.947245
[INFO] 2020-09-18 18:55:52 > Step: 29400 Progress: 14.7% Elapsed: 4:21:46 temperature: no ada_p: No Discriminator_loss: 0.967838 Generator_loss: 0.438437
[INFO] 2020-09-18 18:56:40 > Step: 29500 Progress: 14.8% Elapsed: 4:22:34 temperature: no ada_p: No Discriminator_loss: 1.01343 Generator_loss: -0.236092
[INFO] 2020-09-18 18:57:28 > Step: 29600 Progress: 14.8% Elapsed: 4:23:22 temperature: no ada_p: No Discriminator_loss: 1.20802 Generator_loss: 0.907541
[INFO] 2020-09-18 18:58:16 > Step: 29700 Progress: 14.8% Elapsed: 4:24:10 temperature: no ada_p: No Discriminator_loss: 1.06695 Generator_loss: 0.434295
[INFO] 2020-09-18 18:59:03 > Step: 29800 Progress: 14.9% Elapsed: 4:24:58 temperature: no ada_p: No Discriminator_loss: 0.984898 Generator_loss: 1.16752
[INFO] 2020-09-18 18:59:52 > Step: 29900 Progress: 14.9% Elapsed: 4:25:46 temperature: no ada_p: No Discriminator_loss: 0.948052 Generator_loss: 1.03126
[INFO] 2020-09-18 19:00:40 > Step: 30000 Progress: 15.0% Elapsed: 4:26:34 temperature: no ada_p: No Discriminator_loss: 1.16215 Generator_loss: 0.584727
[INFO] 2020-09-18 19:00:40 > Start Evaluation (30000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:02:32 > F_8 score (Step: 30000, Using test images): 0.9776033875990384
[INFO] 2020-09-18 19:02:32 > F_1/8 score (Step: 30000, Using test images): 0.9898754410309891
[INFO] 2020-09-18 19:02:32 > FID score (Step: 30000, Using test moments): 13.095250398327153
[INFO] 2020-09-18 19:02:32 > Inception score (Step: 30000, 10000 generated images): 9.51706314086914
[INFO] 2020-09-18 19:02:32 > Best FID score (Step: 30000, Using test moments): 13.095250398327153
[INFO] 2020-09-18 19:02:32 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:03:20 > Step: 30100 Progress: 15.0% Elapsed: 4:29:14 temperature: no ada_p: No Discriminator_loss: 1.2542 Generator_loss: 0.974049
[INFO] 2020-09-18 19:04:08 > Step: 30200 Progress: 15.1% Elapsed: 4:30:03 temperature: no ada_p: No Discriminator_loss: 1.16644 Generator_loss: 0.791315
[INFO] 2020-09-18 19:04:56 > Step: 30300 Progress: 15.2% Elapsed: 4:30:50 temperature: no ada_p: No Discriminator_loss: 1.04094 Generator_loss: 0.592848
[INFO] 2020-09-18 19:05:44 > Step: 30400 Progress: 15.2% Elapsed: 4:31:38 temperature: no ada_p: No Discriminator_loss: 0.963675 Generator_loss: 1.34522
[INFO] 2020-09-18 19:06:33 > Step: 30500 Progress: 15.2% Elapsed: 4:32:27 temperature: no ada_p: No Discriminator_loss: 1.09315 Generator_loss: 0.795532
[INFO] 2020-09-18 19:07:22 > Step: 30600 Progress: 15.3% Elapsed: 4:33:16 temperature: no ada_p: No Discriminator_loss: 1.17319 Generator_loss: 1.18677
[INFO] 2020-09-18 19:08:11 > Step: 30700 Progress: 15.3% Elapsed: 4:34:05 temperature: no ada_p: No Discriminator_loss: 1.11638 Generator_loss: 0.997
[INFO] 2020-09-18 19:08:59 > Step: 30800 Progress: 15.4% Elapsed: 4:34:53 temperature: no ada_p: No Discriminator_loss: 0.751232 Generator_loss: 0.909175
[INFO] 2020-09-18 19:09:47 > Step: 30900 Progress: 15.4% Elapsed: 4:35:41 temperature: no ada_p: No Discriminator_loss: 1.3232 Generator_loss: 0.784736
[INFO] 2020-09-18 19:10:35 > Step: 31000 Progress: 15.5% Elapsed: 4:36:30 temperature: no ada_p: No Discriminator_loss: 1.15217 Generator_loss: 0.478281
[INFO] 2020-09-18 19:11:24 > Step: 31100 Progress: 15.6% Elapsed: 4:37:18 temperature: no ada_p: No Discriminator_loss: 1.25613 Generator_loss: 0.29615
[INFO] 2020-09-18 19:12:12 > Step: 31200 Progress: 15.6% Elapsed: 4:38:06 temperature: no ada_p: No Discriminator_loss: 1.0132 Generator_loss: 0.324691
[INFO] 2020-09-18 19:13:01 > Step: 31300 Progress: 15.7% Elapsed: 4:38:55 temperature: no ada_p: No Discriminator_loss: 0.968827 Generator_loss: 1.02407
[INFO] 2020-09-18 19:13:49 > Step: 31400 Progress: 15.7% Elapsed: 4:39:43 temperature: no ada_p: No Discriminator_loss: 1.08575 Generator_loss: 0.321703
[INFO] 2020-09-18 19:14:37 > Step: 31500 Progress: 15.8% Elapsed: 4:40:31 temperature: no ada_p: No Discriminator_loss: 1.13223 Generator_loss: 0.841392
[INFO] 2020-09-18 19:15:25 > Step: 31600 Progress: 15.8% Elapsed: 4:41:20 temperature: no ada_p: No Discriminator_loss: 1.05814 Generator_loss: 0.981383
[INFO] 2020-09-18 19:16:14 > Step: 31700 Progress: 15.8% Elapsed: 4:42:08 temperature: no ada_p: No Discriminator_loss: 0.976311 Generator_loss: 0.817515
[INFO] 2020-09-18 19:17:02 > Step: 31800 Progress: 15.9% Elapsed: 4:42:56 temperature: no ada_p: No Discriminator_loss: 1.20422 Generator_loss: 0.556499
[INFO] 2020-09-18 19:17:50 > Step: 31900 Progress: 16.0% Elapsed: 4:43:45 temperature: no ada_p: No Discriminator_loss: 1.14092 Generator_loss: 0.677528
[INFO] 2020-09-18 19:18:38 > Step: 32000 Progress: 16.0% Elapsed: 4:44:32 temperature: no ada_p: No Discriminator_loss: 1.10855 Generator_loss: 0.74026
[INFO] 2020-09-18 19:18:38 > Start Evaluation (32000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:20:29 > F_8 score (Step: 32000, Using test images): 0.9811653486736214
[INFO] 2020-09-18 19:20:29 > F_1/8 score (Step: 32000, Using test images): 0.988195304369122
[INFO] 2020-09-18 19:20:29 > FID score (Step: 32000, Using test moments): 12.583107538394643
[INFO] 2020-09-18 19:20:29 > Inception score (Step: 32000, 10000 generated images): 9.487260818481445
[INFO] 2020-09-18 19:20:29 > Best FID score (Step: 32000, Using test moments): 12.583107538394643
[INFO] 2020-09-18 19:20:30 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:21:18 > Step: 32100 Progress: 16.1% Elapsed: 4:47:12 temperature: no ada_p: No Discriminator_loss: 1.09747 Generator_loss: 0.555613
[INFO] 2020-09-18 19:22:07 > Step: 32200 Progress: 16.1% Elapsed: 4:48:01 temperature: no ada_p: No Discriminator_loss: 1.11389 Generator_loss: 0.334091
[INFO] 2020-09-18 19:22:55 > Step: 32300 Progress: 16.2% Elapsed: 4:48:50 temperature: no ada_p: No Discriminator_loss: 1.26218 Generator_loss: 0.284503
[INFO] 2020-09-18 19:23:45 > Step: 32400 Progress: 16.2% Elapsed: 4:49:39 temperature: no ada_p: No Discriminator_loss: 0.866478 Generator_loss: 0.686488
[INFO] 2020-09-18 19:24:34 > Step: 32500 Progress: 16.2% Elapsed: 4:50:28 temperature: no ada_p: No Discriminator_loss: 1.18053 Generator_loss: 1.43073
[INFO] 2020-09-18 19:25:21 > Step: 32600 Progress: 16.3% Elapsed: 4:51:15 temperature: no ada_p: No Discriminator_loss: 1.15527 Generator_loss: 0.872857
[INFO] 2020-09-18 19:26:10 > Step: 32700 Progress: 16.4% Elapsed: 4:52:04 temperature: no ada_p: No Discriminator_loss: 1.18466 Generator_loss: 0.451917
[INFO] 2020-09-18 19:26:58 > Step: 32800 Progress: 16.4% Elapsed: 4:52:52 temperature: no ada_p: No Discriminator_loss: 1.11456 Generator_loss: 1.11287
[INFO] 2020-09-18 19:27:46 > Step: 32900 Progress: 16.4% Elapsed: 4:53:40 temperature: no ada_p: No Discriminator_loss: 1.21158 Generator_loss: 0.745394
[INFO] 2020-09-18 19:28:35 > Step: 33000 Progress: 16.5% Elapsed: 4:54:29 temperature: no ada_p: No Discriminator_loss: 1.15163 Generator_loss: 1.07638
[INFO] 2020-09-18 19:29:22 > Step: 33100 Progress: 16.6% Elapsed: 4:55:17 temperature: no ada_p: No Discriminator_loss: 1.05714 Generator_loss: 1.12256
[INFO] 2020-09-18 19:30:10 > Step: 33200 Progress: 16.6% Elapsed: 4:56:05 temperature: no ada_p: No Discriminator_loss: 0.987655 Generator_loss: 0.907299
[INFO] 2020-09-18 19:30:59 > Step: 33300 Progress: 16.7% Elapsed: 4:56:53 temperature: no ada_p: No Discriminator_loss: 0.944282 Generator_loss: 1.31126
[INFO] 2020-09-18 19:31:46 > Step: 33400 Progress: 16.7% Elapsed: 4:57:40 temperature: no ada_p: No Discriminator_loss: 1.35511 Generator_loss: 0.861666
[INFO] 2020-09-18 19:32:37 > Step: 33500 Progress: 16.8% Elapsed: 4:58:31 temperature: no ada_p: No Discriminator_loss: 1.10146 Generator_loss: 0.606518
[INFO] 2020-09-18 19:33:25 > Step: 33600 Progress: 16.8% Elapsed: 4:59:19 temperature: no ada_p: No Discriminator_loss: 1.07869 Generator_loss: 1.05502
[INFO] 2020-09-18 19:34:13 > Step: 33700 Progress: 16.9% Elapsed: 5:00:07 temperature: no ada_p: No Discriminator_loss: 1.17189 Generator_loss: 0.558981
[INFO] 2020-09-18 19:35:02 > Step: 33800 Progress: 16.9% Elapsed: 5:00:56 temperature: no ada_p: No Discriminator_loss: 1.26019 Generator_loss: 1.13073
[INFO] 2020-09-18 19:35:50 > Step: 33900 Progress: 17.0% Elapsed: 5:01:44 temperature: no ada_p: No Discriminator_loss: 1.27758 Generator_loss: 0.533438
[INFO] 2020-09-18 19:36:38 > Step: 34000 Progress: 17.0% Elapsed: 5:02:32 temperature: no ada_p: No Discriminator_loss: 1.14904 Generator_loss: 0.928971
[INFO] 2020-09-18 19:36:38 > Start Evaluation (34000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:38:30 > F_8 score (Step: 34000, Using test images): 0.982116149542259
[INFO] 2020-09-18 19:38:30 > F_1/8 score (Step: 34000, Using test images): 0.989829979862105
[INFO] 2020-09-18 19:38:30 > FID score (Step: 34000, Using test moments): 12.082597795589777
[INFO] 2020-09-18 19:38:30 > Inception score (Step: 34000, 10000 generated images): 9.759958267211914
[INFO] 2020-09-18 19:38:30 > Best FID score (Step: 34000, Using test moments): 12.082597795589777
[INFO] 2020-09-18 19:38:30 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:39:18 > Step: 34100 Progress: 17.1% Elapsed: 5:05:12 temperature: no ada_p: No Discriminator_loss: 1.23464 Generator_loss: 0.803456
[INFO] 2020-09-18 19:40:06 > Step: 34200 Progress: 17.1% Elapsed: 5:06:00 temperature: no ada_p: No Discriminator_loss: 1.21598 Generator_loss: 0.983928
[INFO] 2020-09-18 19:40:54 > Step: 34300 Progress: 17.2% Elapsed: 5:06:49 temperature: no ada_p: No Discriminator_loss: 1.1726 Generator_loss: 0.580517
[INFO] 2020-09-18 19:41:43 > Step: 34400 Progress: 17.2% Elapsed: 5:07:37 temperature: no ada_p: No Discriminator_loss: 1.32283 Generator_loss: 0.999029
[INFO] 2020-09-18 19:42:31 > Step: 34500 Progress: 17.2% Elapsed: 5:08:25 temperature: no ada_p: No Discriminator_loss: 1.28863 Generator_loss: 1.23037
[INFO] 2020-09-18 19:43:19 > Step: 34600 Progress: 17.3% Elapsed: 5:09:13 temperature: no ada_p: No Discriminator_loss: 1.04314 Generator_loss: 0.567661
[INFO] 2020-09-18 19:44:08 > Step: 34700 Progress: 17.3% Elapsed: 5:10:02 temperature: no ada_p: No Discriminator_loss: 1.19181 Generator_loss: 0.382721
[INFO] 2020-09-18 19:44:55 > Step: 34800 Progress: 17.4% Elapsed: 5:10:49 temperature: no ada_p: No Discriminator_loss: 1.03869 Generator_loss: 0.646688
[INFO] 2020-09-18 19:45:43 > Step: 34900 Progress: 17.4% Elapsed: 5:11:37 temperature: no ada_p: No Discriminator_loss: 1.12004 Generator_loss: 0.585807
[INFO] 2020-09-18 19:46:31 > Step: 35000 Progress: 17.5% Elapsed: 5:12:26 temperature: no ada_p: No Discriminator_loss: 1.11863 Generator_loss: 0.461693
[INFO] 2020-09-18 19:47:19 > Step: 35100 Progress: 17.5% Elapsed: 5:13:14 temperature: no ada_p: No Discriminator_loss: 1.0428 Generator_loss: 0.796835
[INFO] 2020-09-18 19:48:07 > Step: 35200 Progress: 17.6% Elapsed: 5:14:02 temperature: no ada_p: No Discriminator_loss: 1.19314 Generator_loss: 0.895276
[INFO] 2020-09-18 19:48:55 > Step: 35300 Progress: 17.6% Elapsed: 5:14:49 temperature: no ada_p: No Discriminator_loss: 1.14593 Generator_loss: 0.812186
[INFO] 2020-09-18 19:49:43 > Step: 35400 Progress: 17.7% Elapsed: 5:15:37 temperature: no ada_p: No Discriminator_loss: 1.05805 Generator_loss: 0.7669
[INFO] 2020-09-18 19:50:31 > Step: 35500 Progress: 17.8% Elapsed: 5:16:25 temperature: no ada_p: No Discriminator_loss: 1.07944 Generator_loss: 0.37704
[INFO] 2020-09-18 19:51:19 > Step: 35600 Progress: 17.8% Elapsed: 5:17:13 temperature: no ada_p: No Discriminator_loss: 1.05748 Generator_loss: 0.549024
[INFO] 2020-09-18 19:52:07 > Step: 35700 Progress: 17.8% Elapsed: 5:18:02 temperature: no ada_p: No Discriminator_loss: 1.10565 Generator_loss: 0.204101
[INFO] 2020-09-18 19:52:56 > Step: 35800 Progress: 17.9% Elapsed: 5:18:51 temperature: no ada_p: No Discriminator_loss: 1.20281 Generator_loss: 0.991856
[INFO] 2020-09-18 19:53:44 > Step: 35900 Progress: 17.9% Elapsed: 5:19:38 temperature: no ada_p: No Discriminator_loss: 0.971436 Generator_loss: 0.64978
[INFO] 2020-09-18 19:54:32 > Step: 36000 Progress: 18.0% Elapsed: 5:20:26 temperature: no ada_p: No Discriminator_loss: 1.14553 Generator_loss: 1.04112
[INFO] 2020-09-18 19:54:32 > Start Evaluation (36000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:56:23 > F_8 score (Step: 36000, Using test images): 0.9833714747443919
[INFO] 2020-09-18 19:56:23 > F_1/8 score (Step: 36000, Using test images): 0.9896631821302874
[INFO] 2020-09-18 19:56:23 > FID score (Step: 36000, Using test moments): 11.64751436810485
[INFO] 2020-09-18 19:56:23 > Inception score (Step: 36000, 10000 generated images): 9.683294296264648
[INFO] 2020-09-18 19:56:23 > Best FID score (Step: 36000, Using test moments): 11.64751436810485
[INFO] 2020-09-18 19:56:24 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 19:57:12 > Step: 36100 Progress: 18.1% Elapsed: 5:23:06 temperature: no ada_p: No Discriminator_loss: 1.23624 Generator_loss: 0.959008
[INFO] 2020-09-18 19:58:00 > Step: 36200 Progress: 18.1% Elapsed: 5:23:55 temperature: no ada_p: No Discriminator_loss: 0.898976 Generator_loss: 0.67271
[INFO] 2020-09-18 19:58:49 > Step: 36300 Progress: 18.1% Elapsed: 5:24:43 temperature: no ada_p: No Discriminator_loss: 1.10613 Generator_loss: 0.707079
[INFO] 2020-09-18 19:59:37 > Step: 36400 Progress: 18.2% Elapsed: 5:25:31 temperature: no ada_p: No Discriminator_loss: 1.26718 Generator_loss: 0.44242
[INFO] 2020-09-18 20:00:25 > Step: 36500 Progress: 18.2% Elapsed: 5:26:19 temperature: no ada_p: No Discriminator_loss: 1.22206 Generator_loss: 0.370361
[INFO] 2020-09-18 20:01:14 > Step: 36600 Progress: 18.3% Elapsed: 5:27:08 temperature: no ada_p: No Discriminator_loss: 0.950258 Generator_loss: 0.862349
[INFO] 2020-09-18 20:02:01 > Step: 36700 Progress: 18.4% Elapsed: 5:27:55 temperature: no ada_p: No Discriminator_loss: 0.920959 Generator_loss: 0.974065
[INFO] 2020-09-18 20:02:50 > Step: 36800 Progress: 18.4% Elapsed: 5:28:44 temperature: no ada_p: No Discriminator_loss: 1.0203 Generator_loss: -0.11191
[INFO] 2020-09-18 20:03:39 > Step: 36900 Progress: 18.4% Elapsed: 5:29:33 temperature: no ada_p: No Discriminator_loss: 1.23041 Generator_loss: 0.310209
[INFO] 2020-09-18 20:04:26 > Step: 37000 Progress: 18.5% Elapsed: 5:30:21 temperature: no ada_p: No Discriminator_loss: 1.10966 Generator_loss: 0.477757
[INFO] 2020-09-18 20:05:15 > Step: 37100 Progress: 18.6% Elapsed: 5:31:09 temperature: no ada_p: No Discriminator_loss: 1.29597 Generator_loss: 1.17425
[INFO] 2020-09-18 20:06:03 > Step: 37200 Progress: 18.6% Elapsed: 5:31:58 temperature: no ada_p: No Discriminator_loss: 1.05885 Generator_loss: 0.841894
[INFO] 2020-09-18 20:06:51 > Step: 37300 Progress: 18.6% Elapsed: 5:32:45 temperature: no ada_p: No Discriminator_loss: 1.28041 Generator_loss: 0.658302
[INFO] 2020-09-18 20:07:39 > Step: 37400 Progress: 18.7% Elapsed: 5:33:33 temperature: no ada_p: No Discriminator_loss: 1.19252 Generator_loss: 0.87366
[INFO] 2020-09-18 20:08:27 > Step: 37500 Progress: 18.8% Elapsed: 5:34:21 temperature: no ada_p: No Discriminator_loss: 1.08352 Generator_loss: 1.39429
[INFO] 2020-09-18 20:09:14 > Step: 37600 Progress: 18.8% Elapsed: 5:35:08 temperature: no ada_p: No Discriminator_loss: 1.02218 Generator_loss: 0.849907
[INFO] 2020-09-18 20:10:03 > Step: 37700 Progress: 18.9% Elapsed: 5:35:57 temperature: no ada_p: No Discriminator_loss: 1.21929 Generator_loss: 0.410122
[INFO] 2020-09-18 20:10:50 > Step: 37800 Progress: 18.9% Elapsed: 5:36:45 temperature: no ada_p: No Discriminator_loss: 1.36168 Generator_loss: 0.58462
[INFO] 2020-09-18 20:11:38 > Step: 37900 Progress: 18.9% Elapsed: 5:37:33 temperature: no ada_p: No Discriminator_loss: 1.15147 Generator_loss: 0.857887
[INFO] 2020-09-18 20:12:27 > Step: 38000 Progress: 19.0% Elapsed: 5:38:21 temperature: no ada_p: No Discriminator_loss: 1.12415 Generator_loss: 0.460346
[INFO] 2020-09-18 20:12:27 > Start Evaluation (38000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:14:20 > F_8 score (Step: 38000, Using test images): 0.9844991735759665
[INFO] 2020-09-18 20:14:20 > F_1/8 score (Step: 38000, Using test images): 0.9902770096079004
[INFO] 2020-09-18 20:14:20 > FID score (Step: 38000, Using test moments): 11.48418573488641
[INFO] 2020-09-18 20:14:20 > Inception score (Step: 38000, 10000 generated images): 9.641512870788574
[INFO] 2020-09-18 20:14:20 > Best FID score (Step: 38000, Using test moments): 11.48418573488641
[INFO] 2020-09-18 20:14:21 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:15:07 > Step: 38100 Progress: 19.1% Elapsed: 5:41:01 temperature: no ada_p: No Discriminator_loss: 0.967049 Generator_loss: 0.656977
[INFO] 2020-09-18 20:15:56 > Step: 38200 Progress: 19.1% Elapsed: 5:41:51 temperature: no ada_p: No Discriminator_loss: 1.33707 Generator_loss: 0.592739
[INFO] 2020-09-18 20:16:45 > Step: 38300 Progress: 19.1% Elapsed: 5:42:39 temperature: no ada_p: No Discriminator_loss: 1.0234 Generator_loss: 1.40508
[INFO] 2020-09-18 20:17:32 > Step: 38400 Progress: 19.2% Elapsed: 5:43:26 temperature: no ada_p: No Discriminator_loss: 1.25959 Generator_loss: 0.38085
[INFO] 2020-09-18 20:18:20 > Step: 38500 Progress: 19.2% Elapsed: 5:44:14 temperature: no ada_p: No Discriminator_loss: 1.18796 Generator_loss: 0.811251
[INFO] 2020-09-18 20:19:08 > Step: 38600 Progress: 19.3% Elapsed: 5:45:02 temperature: no ada_p: No Discriminator_loss: 1.13274 Generator_loss: 0.466175
[INFO] 2020-09-18 20:19:55 > Step: 38700 Progress: 19.4% Elapsed: 5:45:49 temperature: no ada_p: No Discriminator_loss: 1.15602 Generator_loss: 1.46051
[INFO] 2020-09-18 20:20:43 > Step: 38800 Progress: 19.4% Elapsed: 5:46:37 temperature: no ada_p: No Discriminator_loss: 1.13856 Generator_loss: 1.19967
[INFO] 2020-09-18 20:21:31 > Step: 38900 Progress: 19.4% Elapsed: 5:47:26 temperature: no ada_p: No Discriminator_loss: 1.18084 Generator_loss: 0.589279
[INFO] 2020-09-18 20:22:19 > Step: 39000 Progress: 19.5% Elapsed: 5:48:13 temperature: no ada_p: No Discriminator_loss: 1.03419 Generator_loss: 0.818441
[INFO] 2020-09-18 20:23:07 > Step: 39100 Progress: 19.6% Elapsed: 5:49:01 temperature: no ada_p: No Discriminator_loss: 1.25882 Generator_loss: 1.44712
[INFO] 2020-09-18 20:23:55 > Step: 39200 Progress: 19.6% Elapsed: 5:49:50 temperature: no ada_p: No Discriminator_loss: 1.47801 Generator_loss: 0.576749
[INFO] 2020-09-18 20:24:43 > Step: 39300 Progress: 19.7% Elapsed: 5:50:38 temperature: no ada_p: No Discriminator_loss: 1.08348 Generator_loss: 0.579931
[INFO] 2020-09-18 20:25:32 > Step: 39400 Progress: 19.7% Elapsed: 5:51:26 temperature: no ada_p: No Discriminator_loss: 1.05552 Generator_loss: 0.733402
[INFO] 2020-09-18 20:26:19 > Step: 39500 Progress: 19.8% Elapsed: 5:52:13 temperature: no ada_p: No Discriminator_loss: 1.06488 Generator_loss: 0.712309
[INFO] 2020-09-18 20:27:07 > Step: 39600 Progress: 19.8% Elapsed: 5:53:02 temperature: no ada_p: No Discriminator_loss: 1.28985 Generator_loss: 1.68375
[INFO] 2020-09-18 20:27:56 > Step: 39700 Progress: 19.9% Elapsed: 5:53:50 temperature: no ada_p: No Discriminator_loss: 1.24626 Generator_loss: 0.732194
[INFO] 2020-09-18 20:28:43 > Step: 39800 Progress: 19.9% Elapsed: 5:54:37 temperature: no ada_p: No Discriminator_loss: 1.18484 Generator_loss: 0.431193
[INFO] 2020-09-18 20:29:31 > Step: 39900 Progress: 20.0% Elapsed: 5:55:26 temperature: no ada_p: No Discriminator_loss: 0.995572 Generator_loss: 0.150165
[INFO] 2020-09-18 20:30:20 > Step: 40000 Progress: 20.0% Elapsed: 5:56:14 temperature: no ada_p: No Discriminator_loss: 1.13102 Generator_loss: 0.732373
[INFO] 2020-09-18 20:30:20 > Start Evaluation (40000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:32:11 > F_8 score (Step: 40000, Using test images): 0.9853873625982063
[INFO] 2020-09-18 20:32:11 > F_1/8 score (Step: 40000, Using test images): 0.9900802367747945
[INFO] 2020-09-18 20:32:11 > FID score (Step: 40000, Using test moments): 11.162181056708732
[INFO] 2020-09-18 20:32:11 > Inception score (Step: 40000, 10000 generated images): 9.688145637512207
[INFO] 2020-09-18 20:32:11 > Best FID score (Step: 40000, Using test moments): 11.162181056708732
[INFO] 2020-09-18 20:32:12 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:32:58 > Step: 40100 Progress: 20.1% Elapsed: 5:58:52 temperature: no ada_p: No Discriminator_loss: 1.19788 Generator_loss: 0.360029
[INFO] 2020-09-18 20:33:46 > Step: 40200 Progress: 20.1% Elapsed: 5:59:41 temperature: no ada_p: No Discriminator_loss: 1.058 Generator_loss: 0.901095
[INFO] 2020-09-18 20:34:35 > Step: 40300 Progress: 20.2% Elapsed: 6:00:29 temperature: no ada_p: No Discriminator_loss: 1.0075 Generator_loss: 1.37436
[INFO] 2020-09-18 20:35:23 > Step: 40400 Progress: 20.2% Elapsed: 6:01:17 temperature: no ada_p: No Discriminator_loss: 1.22542 Generator_loss: 0.32706
[INFO] 2020-09-18 20:36:10 > Step: 40500 Progress: 20.2% Elapsed: 6:02:05 temperature: no ada_p: No Discriminator_loss: 1.04031 Generator_loss: 0.554303
[INFO] 2020-09-18 20:36:58 > Step: 40600 Progress: 20.3% Elapsed: 6:02:52 temperature: no ada_p: No Discriminator_loss: 1.02746 Generator_loss: 0.9079
[INFO] 2020-09-18 20:37:46 > Step: 40700 Progress: 20.3% Elapsed: 6:03:40 temperature: no ada_p: No Discriminator_loss: 1.3064 Generator_loss: 0.395119
[INFO] 2020-09-18 20:38:34 > Step: 40800 Progress: 20.4% Elapsed: 6:04:28 temperature: no ada_p: No Discriminator_loss: 1.25524 Generator_loss: 0.406649
[INFO] 2020-09-18 20:39:21 > Step: 40900 Progress: 20.4% Elapsed: 6:05:15 temperature: no ada_p: No Discriminator_loss: 1.1157 Generator_loss: 0.930916
[INFO] 2020-09-18 20:40:09 > Step: 41000 Progress: 20.5% Elapsed: 6:06:03 temperature: no ada_p: No Discriminator_loss: 1.12043 Generator_loss: 1.18694
[INFO] 2020-09-18 20:40:57 > Step: 41100 Progress: 20.5% Elapsed: 6:06:51 temperature: no ada_p: No Discriminator_loss: 1.19297 Generator_loss: 1.00255
[INFO] 2020-09-18 20:41:44 > Step: 41200 Progress: 20.6% Elapsed: 6:07:38 temperature: no ada_p: No Discriminator_loss: 1.0341 Generator_loss: 0.864748
[INFO] 2020-09-18 20:42:33 > Step: 41300 Progress: 20.6% Elapsed: 6:08:27 temperature: no ada_p: No Discriminator_loss: 1.04984 Generator_loss: 0.17868
[INFO] 2020-09-18 20:43:21 > Step: 41400 Progress: 20.7% Elapsed: 6:09:15 temperature: no ada_p: No Discriminator_loss: 1.38107 Generator_loss: 0.412139
[INFO] 2020-09-18 20:44:09 > Step: 41500 Progress: 20.8% Elapsed: 6:10:03 temperature: no ada_p: No Discriminator_loss: 1.12252 Generator_loss: 0.941294
[INFO] 2020-09-18 20:44:58 > Step: 41600 Progress: 20.8% Elapsed: 6:10:52 temperature: no ada_p: No Discriminator_loss: 1.01949 Generator_loss: 0.916399
[INFO] 2020-09-18 20:45:45 > Step: 41700 Progress: 20.8% Elapsed: 6:11:39 temperature: no ada_p: No Discriminator_loss: 1.08526 Generator_loss: 1.09621
[INFO] 2020-09-18 20:46:33 > Step: 41800 Progress: 20.9% Elapsed: 6:12:28 temperature: no ada_p: No Discriminator_loss: 1.37175 Generator_loss: 0.793357
[INFO] 2020-09-18 20:47:21 > Step: 41900 Progress: 20.9% Elapsed: 6:13:15 temperature: no ada_p: No Discriminator_loss: 0.997976 Generator_loss: 0.992025
[INFO] 2020-09-18 20:48:09 > Step: 42000 Progress: 21.0% Elapsed: 6:14:03 temperature: no ada_p: No Discriminator_loss: 0.968983 Generator_loss: 0.509348
[INFO] 2020-09-18 20:48:09 > Start Evaluation (42000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:50:00 > F_8 score (Step: 42000, Using test images): 0.9863469914169749
[INFO] 2020-09-18 20:50:00 > F_1/8 score (Step: 42000, Using test images): 0.9915146683006361
[INFO] 2020-09-18 20:50:00 > FID score (Step: 42000, Using test moments): 10.906932278649208
[INFO] 2020-09-18 20:50:00 > Inception score (Step: 42000, 10000 generated images): 9.705222129821777
[INFO] 2020-09-18 20:50:00 > Best FID score (Step: 42000, Using test moments): 10.906932278649208
[INFO] 2020-09-18 20:50:00 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 20:50:48 > Step: 42100 Progress: 21.1% Elapsed: 6:16:42 temperature: no ada_p: No Discriminator_loss: 1.16926 Generator_loss: 1.11326
[INFO] 2020-09-18 20:51:37 > Step: 42200 Progress: 21.1% Elapsed: 6:17:31 temperature: no ada_p: No Discriminator_loss: 1.03254 Generator_loss: 0.793529
[INFO] 2020-09-18 20:52:25 > Step: 42300 Progress: 21.1% Elapsed: 6:18:19 temperature: no ada_p: No Discriminator_loss: 1.09334 Generator_loss: 1.0939
[INFO] 2020-09-18 20:53:13 > Step: 42400 Progress: 21.2% Elapsed: 6:19:07 temperature: no ada_p: No Discriminator_loss: 1.11027 Generator_loss: 0.811592
[INFO] 2020-09-18 20:54:01 > Step: 42500 Progress: 21.2% Elapsed: 6:19:55 temperature: no ada_p: No Discriminator_loss: 1.42179 Generator_loss: 1.11294
[INFO] 2020-09-18 20:54:49 > Step: 42600 Progress: 21.3% Elapsed: 6:20:43 temperature: no ada_p: No Discriminator_loss: 1.27519 Generator_loss: -0.00430342
[INFO] 2020-09-18 20:55:37 > Step: 42700 Progress: 21.3% Elapsed: 6:21:31 temperature: no ada_p: No Discriminator_loss: 1.21181 Generator_loss: 0.645518
[INFO] 2020-09-18 20:56:26 > Step: 42800 Progress: 21.4% Elapsed: 6:22:20 temperature: no ada_p: No Discriminator_loss: 1.00783 Generator_loss: 1.19981
[INFO] 2020-09-18 20:57:13 > Step: 42900 Progress: 21.4% Elapsed: 6:23:07 temperature: no ada_p: No Discriminator_loss: 1.13515 Generator_loss: 0.68943
[INFO] 2020-09-18 20:58:01 > Step: 43000 Progress: 21.5% Elapsed: 6:23:55 temperature: no ada_p: No Discriminator_loss: 1.18829 Generator_loss: 0.727113
[INFO] 2020-09-18 20:58:49 > Step: 43100 Progress: 21.6% Elapsed: 6:24:43 temperature: no ada_p: No Discriminator_loss: 0.845523 Generator_loss: 0.842933
[INFO] 2020-09-18 20:59:37 > Step: 43200 Progress: 21.6% Elapsed: 6:25:31 temperature: no ada_p: No Discriminator_loss: 1.04492 Generator_loss: 0.725725
[INFO] 2020-09-18 21:00:26 > Step: 43300 Progress: 21.6% Elapsed: 6:26:20 temperature: no ada_p: No Discriminator_loss: 1.13418 Generator_loss: 0.616091
[INFO] 2020-09-18 21:01:13 > Step: 43400 Progress: 21.7% Elapsed: 6:27:07 temperature: no ada_p: No Discriminator_loss: 1.12924 Generator_loss: 1.1387
[INFO] 2020-09-18 21:02:01 > Step: 43500 Progress: 21.8% Elapsed: 6:27:55 temperature: no ada_p: No Discriminator_loss: 1.10885 Generator_loss: 0.763915
[INFO] 2020-09-18 21:02:50 > Step: 43600 Progress: 21.8% Elapsed: 6:28:44 temperature: no ada_p: No Discriminator_loss: 1.08187 Generator_loss: 0.425846
[INFO] 2020-09-18 21:03:37 > Step: 43700 Progress: 21.9% Elapsed: 6:29:31 temperature: no ada_p: No Discriminator_loss: 1.04272 Generator_loss: 0.96819
[INFO] 2020-09-18 21:04:26 > Step: 43800 Progress: 21.9% Elapsed: 6:30:20 temperature: no ada_p: No Discriminator_loss: 1.31648 Generator_loss: 1.57369
[INFO] 2020-09-18 21:05:14 > Step: 43900 Progress: 21.9% Elapsed: 6:31:08 temperature: no ada_p: No Discriminator_loss: 0.940533 Generator_loss: 0.49862
[INFO] 2020-09-18 21:06:01 > Step: 44000 Progress: 22.0% Elapsed: 6:31:55 temperature: no ada_p: No Discriminator_loss: 1.05675 Generator_loss: 1.32127
[INFO] 2020-09-18 21:06:01 > Start Evaluation (44000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:07:54 > F_8 score (Step: 44000, Using test images): 0.9846458248789909
[INFO] 2020-09-18 21:07:54 > F_1/8 score (Step: 44000, Using test images): 0.991153891579482
[INFO] 2020-09-18 21:07:54 > FID score (Step: 44000, Using test moments): 10.567233755221196
[INFO] 2020-09-18 21:07:54 > Inception score (Step: 44000, 10000 generated images): 9.579157829284668
[INFO] 2020-09-18 21:07:54 > Best FID score (Step: 44000, Using test moments): 10.567233755221196
[INFO] 2020-09-18 21:07:55 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:08:43 > Step: 44100 Progress: 22.1% Elapsed: 6:34:37 temperature: no ada_p: No Discriminator_loss: 1.26413 Generator_loss: 1.16823
[INFO] 2020-09-18 21:09:31 > Step: 44200 Progress: 22.1% Elapsed: 6:35:25 temperature: no ada_p: No Discriminator_loss: 1.35807 Generator_loss: 1.00583
[INFO] 2020-09-18 21:10:20 > Step: 44300 Progress: 22.1% Elapsed: 6:36:14 temperature: no ada_p: No Discriminator_loss: 0.958739 Generator_loss: 0.94322
[INFO] 2020-09-18 21:11:08 > Step: 44400 Progress: 22.2% Elapsed: 6:37:02 temperature: no ada_p: No Discriminator_loss: 1.34354 Generator_loss: 0.808574
[INFO] 2020-09-18 21:11:55 > Step: 44500 Progress: 22.2% Elapsed: 6:37:49 temperature: no ada_p: No Discriminator_loss: 1.04626 Generator_loss: 0.722039
[INFO] 2020-09-18 21:12:43 > Step: 44600 Progress: 22.3% Elapsed: 6:38:37 temperature: no ada_p: No Discriminator_loss: 1.05365 Generator_loss: 0.876188
[INFO] 2020-09-18 21:13:32 > Step: 44700 Progress: 22.4% Elapsed: 6:39:27 temperature: no ada_p: No Discriminator_loss: 1.27234 Generator_loss: 1.33939
[INFO] 2020-09-18 21:14:21 > Step: 44800 Progress: 22.4% Elapsed: 6:40:15 temperature: no ada_p: No Discriminator_loss: 0.905901 Generator_loss: 0.762479
[INFO] 2020-09-18 21:15:09 > Step: 44900 Progress: 22.4% Elapsed: 6:41:03 temperature: no ada_p: No Discriminator_loss: 1.17146 Generator_loss: 0.708044
[INFO] 2020-09-18 21:15:57 > Step: 45000 Progress: 22.5% Elapsed: 6:41:51 temperature: no ada_p: No Discriminator_loss: 1.30701 Generator_loss: 0.27393
[INFO] 2020-09-18 21:16:45 > Step: 45100 Progress: 22.6% Elapsed: 6:42:39 temperature: no ada_p: No Discriminator_loss: 1.19237 Generator_loss: 0.662742
[INFO] 2020-09-18 21:17:33 > Step: 45200 Progress: 22.6% Elapsed: 6:43:27 temperature: no ada_p: No Discriminator_loss: 1.21047 Generator_loss: 1.06765
[INFO] 2020-09-18 21:18:21 > Step: 45300 Progress: 22.7% Elapsed: 6:44:15 temperature: no ada_p: No Discriminator_loss: 1.18879 Generator_loss: 0.817049
[INFO] 2020-09-18 21:19:08 > Step: 45400 Progress: 22.7% Elapsed: 6:45:02 temperature: no ada_p: No Discriminator_loss: 1.27317 Generator_loss: 0.739315
[INFO] 2020-09-18 21:19:56 > Step: 45500 Progress: 22.8% Elapsed: 6:45:50 temperature: no ada_p: No Discriminator_loss: 1.19011 Generator_loss: 0.485678
[INFO] 2020-09-18 21:20:44 > Step: 45600 Progress: 22.8% Elapsed: 6:46:38 temperature: no ada_p: No Discriminator_loss: 1.02695 Generator_loss: 0.881311
[INFO] 2020-09-18 21:21:33 > Step: 45700 Progress: 22.9% Elapsed: 6:47:27 temperature: no ada_p: No Discriminator_loss: 1.01407 Generator_loss: 1.00663
[INFO] 2020-09-18 21:22:21 > Step: 45800 Progress: 22.9% Elapsed: 6:48:15 temperature: no ada_p: No Discriminator_loss: 1.09229 Generator_loss: 0.707362
[INFO] 2020-09-18 21:23:09 > Step: 45900 Progress: 22.9% Elapsed: 6:49:03 temperature: no ada_p: No Discriminator_loss: 1.02249 Generator_loss: 0.793598
[INFO] 2020-09-18 21:23:57 > Step: 46000 Progress: 23.0% Elapsed: 6:49:51 temperature: no ada_p: No Discriminator_loss: 1.09451 Generator_loss: 0.360154
[INFO] 2020-09-18 21:23:57 > Start Evaluation (46000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:25:49 > F_8 score (Step: 46000, Using test images): 0.9853721418502492
[INFO] 2020-09-18 21:25:49 > F_1/8 score (Step: 46000, Using test images): 0.9912076765288346
[INFO] 2020-09-18 21:25:49 > FID score (Step: 46000, Using test moments): 10.373414512021043
[INFO] 2020-09-18 21:25:49 > Inception score (Step: 46000, 10000 generated images): 9.631485939025879
[INFO] 2020-09-18 21:25:49 > Best FID score (Step: 46000, Using test moments): 10.373414512021043
[INFO] 2020-09-18 21:25:49 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:26:37 > Step: 46100 Progress: 23.1% Elapsed: 6:52:31 temperature: no ada_p: No Discriminator_loss: 1.2046 Generator_loss: 0.748881
[INFO] 2020-09-18 21:27:24 > Step: 46200 Progress: 23.1% Elapsed: 6:53:19 temperature: no ada_p: No Discriminator_loss: 1.22078 Generator_loss: 1.13911
[INFO] 2020-09-18 21:28:13 > Step: 46300 Progress: 23.2% Elapsed: 6:54:07 temperature: no ada_p: No Discriminator_loss: 1.01335 Generator_loss: 0.753456
[INFO] 2020-09-18 21:29:02 > Step: 46400 Progress: 23.2% Elapsed: 6:54:56 temperature: no ada_p: No Discriminator_loss: 1.13079 Generator_loss: 0.869369
[INFO] 2020-09-18 21:29:50 > Step: 46500 Progress: 23.2% Elapsed: 6:55:44 temperature: no ada_p: No Discriminator_loss: 1.24192 Generator_loss: 1.02139
[INFO] 2020-09-18 21:30:38 > Step: 46600 Progress: 23.3% Elapsed: 6:56:32 temperature: no ada_p: No Discriminator_loss: 1.13534 Generator_loss: 1.04877
[INFO] 2020-09-18 21:31:26 > Step: 46700 Progress: 23.4% Elapsed: 6:57:21 temperature: no ada_p: No Discriminator_loss: 1.10616 Generator_loss: 0.309256
[INFO] 2020-09-18 21:32:15 > Step: 46800 Progress: 23.4% Elapsed: 6:58:09 temperature: no ada_p: No Discriminator_loss: 1.25297 Generator_loss: 0.874126
[INFO] 2020-09-18 21:33:03 > Step: 46900 Progress: 23.4% Elapsed: 6:58:57 temperature: no ada_p: No Discriminator_loss: 0.965153 Generator_loss: 0.709768
[INFO] 2020-09-18 21:33:50 > Step: 47000 Progress: 23.5% Elapsed: 6:59:44 temperature: no ada_p: No Discriminator_loss: 1.05131 Generator_loss: 0.762944
[INFO] 2020-09-18 21:34:38 > Step: 47100 Progress: 23.5% Elapsed: 7:00:33 temperature: no ada_p: No Discriminator_loss: 1.21143 Generator_loss: 0.416988
[INFO] 2020-09-18 21:35:28 > Step: 47200 Progress: 23.6% Elapsed: 7:01:22 temperature: no ada_p: No Discriminator_loss: 0.99086 Generator_loss: 0.270791
[INFO] 2020-09-18 21:36:15 > Step: 47300 Progress: 23.6% Elapsed: 7:02:09 temperature: no ada_p: No Discriminator_loss: 1.18426 Generator_loss: 0.821041
[INFO] 2020-09-18 21:37:03 > Step: 47400 Progress: 23.7% Elapsed: 7:02:57 temperature: no ada_p: No Discriminator_loss: 1.05328 Generator_loss: 0.701301
[INFO] 2020-09-18 21:37:51 > Step: 47500 Progress: 23.8% Elapsed: 7:03:45 temperature: no ada_p: No Discriminator_loss: 1.41421 Generator_loss: 0.845847
[INFO] 2020-09-18 21:38:39 > Step: 47600 Progress: 23.8% Elapsed: 7:04:33 temperature: no ada_p: No Discriminator_loss: 0.896104 Generator_loss: 0.589698
[INFO] 2020-09-18 21:39:27 > Step: 47700 Progress: 23.8% Elapsed: 7:05:22 temperature: no ada_p: No Discriminator_loss: 1.16411 Generator_loss: 1.00442
[INFO] 2020-09-18 21:40:16 > Step: 47800 Progress: 23.9% Elapsed: 7:06:10 temperature: no ada_p: No Discriminator_loss: 1.18774 Generator_loss: 0.652257
[INFO] 2020-09-18 21:41:03 > Step: 47900 Progress: 23.9% Elapsed: 7:06:58 temperature: no ada_p: No Discriminator_loss: 1.3946 Generator_loss: 0.545019
[INFO] 2020-09-18 21:41:52 > Step: 48000 Progress: 24.0% Elapsed: 7:07:46 temperature: no ada_p: No Discriminator_loss: 1.10115 Generator_loss: 0.884398
[INFO] 2020-09-18 21:41:52 > Start Evaluation (48000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:43:43 > F_8 score (Step: 48000, Using test images): 0.9876750046226473
[INFO] 2020-09-18 21:43:43 > F_1/8 score (Step: 48000, Using test images): 0.993183159197145
[INFO] 2020-09-18 21:43:43 > FID score (Step: 48000, Using test moments): 10.071486905831875
[INFO] 2020-09-18 21:43:43 > Inception score (Step: 48000, 10000 generated images): 9.816271781921387
[INFO] 2020-09-18 21:43:43 > Best FID score (Step: 48000, Using test moments): 10.071486905831875
[INFO] 2020-09-18 21:43:44 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 21:44:31 > Step: 48100 Progress: 24.1% Elapsed: 7:10:25 temperature: no ada_p: No Discriminator_loss: 1.20195 Generator_loss: 0.509781
[INFO] 2020-09-18 21:45:19 > Step: 48200 Progress: 24.1% Elapsed: 7:11:13 temperature: no ada_p: No Discriminator_loss: 1.27651 Generator_loss: 0.489958
[INFO] 2020-09-18 21:46:08 > Step: 48300 Progress: 24.1% Elapsed: 7:12:02 temperature: no ada_p: No Discriminator_loss: 1.08988 Generator_loss: 0.547622
[INFO] 2020-09-18 21:46:56 > Step: 48400 Progress: 24.2% Elapsed: 7:12:50 temperature: no ada_p: No Discriminator_loss: 1.24826 Generator_loss: 0.209349
[INFO] 2020-09-18 21:47:45 > Step: 48500 Progress: 24.2% Elapsed: 7:13:39 temperature: no ada_p: No Discriminator_loss: 1.21395 Generator_loss: 0.600474
[INFO] 2020-09-18 21:48:33 > Step: 48600 Progress: 24.3% Elapsed: 7:14:27 temperature: no ada_p: No Discriminator_loss: 0.993501 Generator_loss: 0.428015
[INFO] 2020-09-18 21:49:21 > Step: 48700 Progress: 24.3% Elapsed: 7:15:15 temperature: no ada_p: No Discriminator_loss: 1.38436 Generator_loss: 0.280161
[INFO] 2020-09-18 21:50:09 > Step: 48800 Progress: 24.4% Elapsed: 7:16:04 temperature: no ada_p: No Discriminator_loss: 1.18638 Generator_loss: 1.31289
[INFO] 2020-09-18 21:50:58 > Step: 48900 Progress: 24.4% Elapsed: 7:16:52 temperature: no ada_p: No Discriminator_loss: 1.09358 Generator_loss: 0.811185
[INFO] 2020-09-18 21:51:47 > Step: 49000 Progress: 24.5% Elapsed: 7:17:41 temperature: no ada_p: No Discriminator_loss: 0.972982 Generator_loss: 0.843136
[INFO] 2020-09-18 21:52:36 > Step: 49100 Progress: 24.6% Elapsed: 7:18:30 temperature: no ada_p: No Discriminator_loss: 1.33707 Generator_loss: 1.15495
[INFO] 2020-09-18 21:53:23 > Step: 49200 Progress: 24.6% Elapsed: 7:19:18 temperature: no ada_p: No Discriminator_loss: 1.01959 Generator_loss: 0.717875
[INFO] 2020-09-18 21:54:12 > Step: 49300 Progress: 24.6% Elapsed: 7:20:07 temperature: no ada_p: No Discriminator_loss: 0.979061 Generator_loss: 0.617627
[INFO] 2020-09-18 21:55:01 > Step: 49400 Progress: 24.7% Elapsed: 7:20:55 temperature: no ada_p: No Discriminator_loss: 1.31295 Generator_loss: 1.12353
[INFO] 2020-09-18 21:55:50 > Step: 49500 Progress: 24.8% Elapsed: 7:21:44 temperature: no ada_p: No Discriminator_loss: 1.04336 Generator_loss: 0.669204
[INFO] 2020-09-18 21:56:38 > Step: 49600 Progress: 24.8% Elapsed: 7:22:32 temperature: no ada_p: No Discriminator_loss: 1.14475 Generator_loss: 0.928588
[INFO] 2020-09-18 21:57:26 > Step: 49700 Progress: 24.9% Elapsed: 7:23:20 temperature: no ada_p: No Discriminator_loss: 1.22578 Generator_loss: 0.908252
[INFO] 2020-09-18 21:58:14 > Step: 49800 Progress: 24.9% Elapsed: 7:24:08 temperature: no ada_p: No Discriminator_loss: 1.22473 Generator_loss: 0.706567
[INFO] 2020-09-18 21:59:02 > Step: 49900 Progress: 24.9% Elapsed: 7:24:57 temperature: no ada_p: No Discriminator_loss: 1.29259 Generator_loss: 0.896096
[INFO] 2020-09-18 21:59:51 > Step: 50000 Progress: 25.0% Elapsed: 7:25:45 temperature: no ada_p: No Discriminator_loss: 0.961521 Generator_loss: 1.1127
[INFO] 2020-09-18 21:59:51 > Start Evaluation (50000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:01:42 > F_8 score (Step: 50000, Using test images): 0.9893245158933083
[INFO] 2020-09-18 22:01:42 > F_1/8 score (Step: 50000, Using test images): 0.9927407781244453
[INFO] 2020-09-18 22:01:42 > FID score (Step: 50000, Using test moments): 9.779745331852553
[INFO] 2020-09-18 22:01:42 > Inception score (Step: 50000, 10000 generated images): 9.74118423461914
[INFO] 2020-09-18 22:01:42 > Best FID score (Step: 50000, Using test moments): 9.779745331852553
[INFO] 2020-09-18 22:01:43 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:02:30 > Step: 50100 Progress: 25.1% Elapsed: 7:28:24 temperature: no ada_p: No Discriminator_loss: 1.24093 Generator_loss: 0.903323
[INFO] 2020-09-18 22:03:19 > Step: 50200 Progress: 25.1% Elapsed: 7:29:13 temperature: no ada_p: No Discriminator_loss: 1.30803 Generator_loss: 0.26293
[INFO] 2020-09-18 22:04:07 > Step: 50300 Progress: 25.1% Elapsed: 7:30:01 temperature: no ada_p: No Discriminator_loss: 1.25332 Generator_loss: 0.752812
[INFO] 2020-09-18 22:04:55 > Step: 50400 Progress: 25.2% Elapsed: 7:30:49 temperature: no ada_p: No Discriminator_loss: 1.29018 Generator_loss: 0.907273
[INFO] 2020-09-18 22:05:45 > Step: 50500 Progress: 25.2% Elapsed: 7:31:39 temperature: no ada_p: No Discriminator_loss: 1.20008 Generator_loss: 0.386722
[INFO] 2020-09-18 22:06:32 > Step: 50600 Progress: 25.3% Elapsed: 7:32:26 temperature: no ada_p: No Discriminator_loss: 1.20673 Generator_loss: 0.708181
[INFO] 2020-09-18 22:07:20 > Step: 50700 Progress: 25.4% Elapsed: 7:33:14 temperature: no ada_p: No Discriminator_loss: 1.18659 Generator_loss: 1.17299
[INFO] 2020-09-18 22:08:09 > Step: 50800 Progress: 25.4% Elapsed: 7:34:03 temperature: no ada_p: No Discriminator_loss: 1.26824 Generator_loss: 0.629179
[INFO] 2020-09-18 22:08:57 > Step: 50900 Progress: 25.4% Elapsed: 7:34:51 temperature: no ada_p: No Discriminator_loss: 1.05125 Generator_loss: 0.930781
[INFO] 2020-09-18 22:09:45 > Step: 51000 Progress: 25.5% Elapsed: 7:35:39 temperature: no ada_p: No Discriminator_loss: 1.31766 Generator_loss: 0.70309
[INFO] 2020-09-18 22:10:33 > Step: 51100 Progress: 25.6% Elapsed: 7:36:28 temperature: no ada_p: No Discriminator_loss: 1.2104 Generator_loss: 0.886409
[INFO] 2020-09-18 22:11:21 > Step: 51200 Progress: 25.6% Elapsed: 7:37:15 temperature: no ada_p: No Discriminator_loss: 1.01562 Generator_loss: 1.14371
[INFO] 2020-09-18 22:12:09 > Step: 51300 Progress: 25.7% Elapsed: 7:38:03 temperature: no ada_p: No Discriminator_loss: 1.1509 Generator_loss: 0.698108
[INFO] 2020-09-18 22:12:58 > Step: 51400 Progress: 25.7% Elapsed: 7:38:52 temperature: no ada_p: No Discriminator_loss: 1.1759 Generator_loss: 0.506152
[INFO] 2020-09-18 22:13:45 > Step: 51500 Progress: 25.8% Elapsed: 7:39:39 temperature: no ada_p: No Discriminator_loss: 0.909445 Generator_loss: 0.26651
[INFO] 2020-09-18 22:14:33 > Step: 51600 Progress: 25.8% Elapsed: 7:40:27 temperature: no ada_p: No Discriminator_loss: 1.22098 Generator_loss: 1.11157
[INFO] 2020-09-18 22:15:21 > Step: 51700 Progress: 25.9% Elapsed: 7:41:15 temperature: no ada_p: No Discriminator_loss: 1.10551 Generator_loss: 1.21172
[INFO] 2020-09-18 22:16:09 > Step: 51800 Progress: 25.9% Elapsed: 7:42:04 temperature: no ada_p: No Discriminator_loss: 1.18179 Generator_loss: 0.585297
[INFO] 2020-09-18 22:16:58 > Step: 51900 Progress: 25.9% Elapsed: 7:42:52 temperature: no ada_p: No Discriminator_loss: 1.22179 Generator_loss: 0.486758
[INFO] 2020-09-18 22:17:45 > Step: 52000 Progress: 26.0% Elapsed: 7:43:39 temperature: no ada_p: No Discriminator_loss: 1.31326 Generator_loss: 0.319532
[INFO] 2020-09-18 22:17:45 > Start Evaluation (52000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:19:36 > F_8 score (Step: 52000, Using test images): 0.987915085537237
[INFO] 2020-09-18 22:19:36 > F_1/8 score (Step: 52000, Using test images): 0.9921607672826682
[INFO] 2020-09-18 22:19:36 > FID score (Step: 52000, Using test moments): 9.834914937657118
[INFO] 2020-09-18 22:19:36 > Inception score (Step: 52000, 10000 generated images): 9.724963188171387
[INFO] 2020-09-18 22:19:36 > Best FID score (Step: 50000, Using test moments): 9.779745331852553
[INFO] 2020-09-18 22:19:37 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:20:25 > Step: 52100 Progress: 26.1% Elapsed: 7:46:19 temperature: no ada_p: No Discriminator_loss: 1.28307 Generator_loss: 0.367219
[INFO] 2020-09-18 22:21:13 > Step: 52200 Progress: 26.1% Elapsed: 7:47:07 temperature: no ada_p: No Discriminator_loss: 1.27892 Generator_loss: 0.711544
[INFO] 2020-09-18 22:22:01 > Step: 52300 Progress: 26.2% Elapsed: 7:47:55 temperature: no ada_p: No Discriminator_loss: 1.14109 Generator_loss: 0.721185
[INFO] 2020-09-18 22:22:50 > Step: 52400 Progress: 26.2% Elapsed: 7:48:44 temperature: no ada_p: No Discriminator_loss: 1.14223 Generator_loss: 0.483572
[INFO] 2020-09-18 22:23:38 > Step: 52500 Progress: 26.2% Elapsed: 7:49:33 temperature: no ada_p: No Discriminator_loss: 1.10362 Generator_loss: 0.688198
[INFO] 2020-09-18 22:24:26 > Step: 52600 Progress: 26.3% Elapsed: 7:50:20 temperature: no ada_p: No Discriminator_loss: 1.06403 Generator_loss: 0.707845
[INFO] 2020-09-18 22:25:14 > Step: 52700 Progress: 26.4% Elapsed: 7:51:08 temperature: no ada_p: No Discriminator_loss: 1.07827 Generator_loss: 0.329178
[INFO] 2020-09-18 22:26:03 > Step: 52800 Progress: 26.4% Elapsed: 7:51:57 temperature: no ada_p: No Discriminator_loss: 1.10148 Generator_loss: 0.917456
[INFO] 2020-09-18 22:26:50 > Step: 52900 Progress: 26.5% Elapsed: 7:52:45 temperature: no ada_p: No Discriminator_loss: 0.950673 Generator_loss: 0.479855
[INFO] 2020-09-18 22:27:39 > Step: 53000 Progress: 26.5% Elapsed: 7:53:33 temperature: no ada_p: No Discriminator_loss: 1.0342 Generator_loss: 0.923647
[INFO] 2020-09-18 22:28:26 > Step: 53100 Progress: 26.6% Elapsed: 7:54:20 temperature: no ada_p: No Discriminator_loss: 1.10431 Generator_loss: 0.17942
[INFO] 2020-09-18 22:29:14 > Step: 53200 Progress: 26.6% Elapsed: 7:55:08 temperature: no ada_p: No Discriminator_loss: 1.23302 Generator_loss: 1.09859
[INFO] 2020-09-18 22:30:03 > Step: 53300 Progress: 26.7% Elapsed: 7:55:58 temperature: no ada_p: No Discriminator_loss: 1.17566 Generator_loss: 0.865517
[INFO] 2020-09-18 22:30:52 > Step: 53400 Progress: 26.7% Elapsed: 7:56:46 temperature: no ada_p: No Discriminator_loss: 1.32181 Generator_loss: 0.533066
[INFO] 2020-09-18 22:31:41 > Step: 53500 Progress: 26.8% Elapsed: 7:57:35 temperature: no ada_p: No Discriminator_loss: 1.17342 Generator_loss: 1.0701
[INFO] 2020-09-18 22:32:29 > Step: 53600 Progress: 26.8% Elapsed: 7:58:23 temperature: no ada_p: No Discriminator_loss: 0.950767 Generator_loss: 1.03359
[INFO] 2020-09-18 22:33:17 > Step: 53700 Progress: 26.9% Elapsed: 7:59:11 temperature: no ada_p: No Discriminator_loss: 1.25212 Generator_loss: 0.669731
[INFO] 2020-09-18 22:34:05 > Step: 53800 Progress: 26.9% Elapsed: 7:59:59 temperature: no ada_p: No Discriminator_loss: 1.09809 Generator_loss: 0.515578
[INFO] 2020-09-18 22:34:53 > Step: 53900 Progress: 27.0% Elapsed: 8:00:47 temperature: no ada_p: No Discriminator_loss: 0.989502 Generator_loss: 0.54392
[INFO] 2020-09-18 22:35:40 > Step: 54000 Progress: 27.0% Elapsed: 8:01:34 temperature: no ada_p: No Discriminator_loss: 1.07406 Generator_loss: 0.52001
[INFO] 2020-09-18 22:35:40 > Start Evaluation (54000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:37:32 > F_8 score (Step: 54000, Using test images): 0.99071253659449
[INFO] 2020-09-18 22:37:32 > F_1/8 score (Step: 54000, Using test images): 0.9922135984043368
[INFO] 2020-09-18 22:37:32 > FID score (Step: 54000, Using test moments): 9.535668391112836
[INFO] 2020-09-18 22:37:32 > Inception score (Step: 54000, 10000 generated images): 9.672094345092773
[INFO] 2020-09-18 22:37:32 > Best FID score (Step: 54000, Using test moments): 9.535668391112836
[INFO] 2020-09-18 22:37:32 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:38:21 > Step: 54100 Progress: 27.1% Elapsed: 8:04:15 temperature: no ada_p: No Discriminator_loss: 1.07383 Generator_loss: 0.153121
[INFO] 2020-09-18 22:39:09 > Step: 54200 Progress: 27.1% Elapsed: 8:05:03 temperature: no ada_p: No Discriminator_loss: 0.993048 Generator_loss: 0.983474
[INFO] 2020-09-18 22:39:57 > Step: 54300 Progress: 27.2% Elapsed: 8:05:51 temperature: no ada_p: No Discriminator_loss: 0.893712 Generator_loss: 1.00243
[INFO] 2020-09-18 22:40:46 > Step: 54400 Progress: 27.2% Elapsed: 8:06:40 temperature: no ada_p: No Discriminator_loss: 1.01326 Generator_loss: 0.844308
[INFO] 2020-09-18 22:41:34 > Step: 54500 Progress: 27.3% Elapsed: 8:07:28 temperature: no ada_p: No Discriminator_loss: 1.13003 Generator_loss: 0.627698
[INFO] 2020-09-18 22:42:23 > Step: 54600 Progress: 27.3% Elapsed: 8:08:17 temperature: no ada_p: No Discriminator_loss: 1.10533 Generator_loss: 0.772467
[INFO] 2020-09-18 22:43:11 > Step: 54700 Progress: 27.4% Elapsed: 8:09:05 temperature: no ada_p: No Discriminator_loss: 1.17929 Generator_loss: 0.386841
[INFO] 2020-09-18 22:43:59 > Step: 54800 Progress: 27.4% Elapsed: 8:09:53 temperature: no ada_p: No Discriminator_loss: 1.03947 Generator_loss: 1.33972
[INFO] 2020-09-18 22:44:47 > Step: 54900 Progress: 27.5% Elapsed: 8:10:41 temperature: no ada_p: No Discriminator_loss: 1.10334 Generator_loss: 0.651759
[INFO] 2020-09-18 22:45:35 > Step: 55000 Progress: 27.5% Elapsed: 8:11:29 temperature: no ada_p: No Discriminator_loss: 1.20995 Generator_loss: 0.213518
[INFO] 2020-09-18 22:46:23 > Step: 55100 Progress: 27.6% Elapsed: 8:12:17 temperature: no ada_p: No Discriminator_loss: 1.2494 Generator_loss: 0.554607
[INFO] 2020-09-18 22:47:11 > Step: 55200 Progress: 27.6% Elapsed: 8:13:05 temperature: no ada_p: No Discriminator_loss: 1.24312 Generator_loss: 0.866883
[INFO] 2020-09-18 22:47:59 > Step: 55300 Progress: 27.7% Elapsed: 8:13:53 temperature: no ada_p: No Discriminator_loss: 1.4818 Generator_loss: 1.05463
[INFO] 2020-09-18 22:48:47 > Step: 55400 Progress: 27.7% Elapsed: 8:14:41 temperature: no ada_p: No Discriminator_loss: 1.23838 Generator_loss: 0.43944
[INFO] 2020-09-18 22:49:36 > Step: 55500 Progress: 27.8% Elapsed: 8:15:30 temperature: no ada_p: No Discriminator_loss: 1.37943 Generator_loss: 0.764151
[INFO] 2020-09-18 22:50:24 > Step: 55600 Progress: 27.8% Elapsed: 8:16:18 temperature: no ada_p: No Discriminator_loss: 1.08024 Generator_loss: 0.061032
[INFO] 2020-09-18 22:51:12 > Step: 55700 Progress: 27.9% Elapsed: 8:17:06 temperature: no ada_p: No Discriminator_loss: 1.18696 Generator_loss: 0.330349
[INFO] 2020-09-18 22:52:00 > Step: 55800 Progress: 27.9% Elapsed: 8:17:55 temperature: no ada_p: No Discriminator_loss: 1.19196 Generator_loss: 0.464912
[INFO] 2020-09-18 22:52:49 > Step: 55900 Progress: 28.0% Elapsed: 8:18:43 temperature: no ada_p: No Discriminator_loss: 1.14474 Generator_loss: 0.796236
[INFO] 2020-09-18 22:53:37 > Step: 56000 Progress: 28.0% Elapsed: 8:19:31 temperature: no ada_p: No Discriminator_loss: 1.09162 Generator_loss: 1.03801
[INFO] 2020-09-18 22:53:37 > Start Evaluation (56000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:55:28 > F_8 score (Step: 56000, Using test images): 0.9892017594605836
[INFO] 2020-09-18 22:55:28 > F_1/8 score (Step: 56000, Using test images): 0.9937474236086019
[INFO] 2020-09-18 22:55:28 > FID score (Step: 56000, Using test moments): 9.331586638159308
[INFO] 2020-09-18 22:55:28 > Inception score (Step: 56000, 10000 generated images): 9.588162422180176
[INFO] 2020-09-18 22:55:28 > Best FID score (Step: 56000, Using test moments): 9.331586638159308
[INFO] 2020-09-18 22:55:29 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 22:56:17 > Step: 56100 Progress: 28.1% Elapsed: 8:22:11 temperature: no ada_p: No Discriminator_loss: 1.28865 Generator_loss: 0.666544
[INFO] 2020-09-18 22:57:05 > Step: 56200 Progress: 28.1% Elapsed: 8:22:59 temperature: no ada_p: No Discriminator_loss: 1.042 Generator_loss: 0.530962
[INFO] 2020-09-18 22:57:53 > Step: 56300 Progress: 28.1% Elapsed: 8:23:47 temperature: no ada_p: No Discriminator_loss: 1.11606 Generator_loss: 0.679462
[INFO] 2020-09-18 22:58:41 > Step: 56400 Progress: 28.2% Elapsed: 8:24:36 temperature: no ada_p: No Discriminator_loss: 1.07857 Generator_loss: 0.39674
[INFO] 2020-09-18 22:59:29 > Step: 56500 Progress: 28.2% Elapsed: 8:25:23 temperature: no ada_p: No Discriminator_loss: 1.24737 Generator_loss: 0.445666
[INFO] 2020-09-18 23:00:19 > Step: 56600 Progress: 28.3% Elapsed: 8:26:13 temperature: no ada_p: No Discriminator_loss: 1.12638 Generator_loss: 1.49571
[INFO] 2020-09-18 23:01:06 > Step: 56700 Progress: 28.3% Elapsed: 8:27:00 temperature: no ada_p: No Discriminator_loss: 1.2373 Generator_loss: 1.03592
[INFO] 2020-09-18 23:01:54 > Step: 56800 Progress: 28.4% Elapsed: 8:27:48 temperature: no ada_p: No Discriminator_loss: 1.07294 Generator_loss: 0.0666186
[INFO] 2020-09-18 23:02:43 > Step: 56900 Progress: 28.4% Elapsed: 8:28:37 temperature: no ada_p: No Discriminator_loss: 1.04347 Generator_loss: 1.11775
[INFO] 2020-09-18 23:03:30 > Step: 57000 Progress: 28.5% Elapsed: 8:29:24 temperature: no ada_p: No Discriminator_loss: 1.06372 Generator_loss: 0.92721
[INFO] 2020-09-18 23:04:19 > Step: 57100 Progress: 28.5% Elapsed: 8:30:13 temperature: no ada_p: No Discriminator_loss: 1.34741 Generator_loss: 1.08439
[INFO] 2020-09-18 23:05:07 > Step: 57200 Progress: 28.6% Elapsed: 8:31:01 temperature: no ada_p: No Discriminator_loss: 1.26508 Generator_loss: 0.655781
[INFO] 2020-09-18 23:05:55 > Step: 57300 Progress: 28.6% Elapsed: 8:31:49 temperature: no ada_p: No Discriminator_loss: 1.24658 Generator_loss: 1.28977
[INFO] 2020-09-18 23:06:43 > Step: 57400 Progress: 28.7% Elapsed: 8:32:37 temperature: no ada_p: No Discriminator_loss: 1.38483 Generator_loss: 0.535947
[INFO] 2020-09-18 23:07:31 > Step: 57500 Progress: 28.7% Elapsed: 8:33:26 temperature: no ada_p: No Discriminator_loss: 1.36344 Generator_loss: 0.325285
[INFO] 2020-09-18 23:08:20 > Step: 57600 Progress: 28.8% Elapsed: 8:34:14 temperature: no ada_p: No Discriminator_loss: 1.39053 Generator_loss: 0.758351
[INFO] 2020-09-18 23:09:09 > Step: 57700 Progress: 28.8% Elapsed: 8:35:03 temperature: no ada_p: No Discriminator_loss: 1.06217 Generator_loss: 1.06908
[INFO] 2020-09-18 23:09:57 > Step: 57800 Progress: 28.9% Elapsed: 8:35:51 temperature: no ada_p: No Discriminator_loss: 1.29549 Generator_loss: 0.430012
[INFO] 2020-09-18 23:10:45 > Step: 57900 Progress: 28.9% Elapsed: 8:36:39 temperature: no ada_p: No Discriminator_loss: 1.17469 Generator_loss: 0.809171
[INFO] 2020-09-18 23:11:34 > Step: 58000 Progress: 29.0% Elapsed: 8:37:28 temperature: no ada_p: No Discriminator_loss: 1.13993 Generator_loss: 0.668472
[INFO] 2020-09-18 23:11:34 > Start Evaluation (58000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:13:25 > F_8 score (Step: 58000, Using test images): 0.9894088891581867
[INFO] 2020-09-18 23:13:25 > F_1/8 score (Step: 58000, Using test images): 0.9921210483921556
[INFO] 2020-09-18 23:13:25 > FID score (Step: 58000, Using test moments): 9.175918181224347
[INFO] 2020-09-18 23:13:25 > Inception score (Step: 58000, 10000 generated images): 9.669098854064941
[INFO] 2020-09-18 23:13:25 > Best FID score (Step: 58000, Using test moments): 9.175918181224347
[INFO] 2020-09-18 23:13:26 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:14:12 > Step: 58100 Progress: 29.0% Elapsed: 8:40:06 temperature: no ada_p: No Discriminator_loss: 1.1822 Generator_loss: 0.425279
[INFO] 2020-09-18 23:15:00 > Step: 58200 Progress: 29.1% Elapsed: 8:40:55 temperature: no ada_p: No Discriminator_loss: 1.10543 Generator_loss: 0.380731
[INFO] 2020-09-18 23:15:49 > Step: 58300 Progress: 29.1% Elapsed: 8:41:43 temperature: no ada_p: No Discriminator_loss: 0.947326 Generator_loss: 0.66116
[INFO] 2020-09-18 23:16:37 > Step: 58400 Progress: 29.2% Elapsed: 8:42:31 temperature: no ada_p: No Discriminator_loss: 1.13869 Generator_loss: 0.0947283
[INFO] 2020-09-18 23:17:26 > Step: 58500 Progress: 29.2% Elapsed: 8:43:20 temperature: no ada_p: No Discriminator_loss: 1.07139 Generator_loss: 0.762617
[INFO] 2020-09-18 23:18:15 > Step: 58600 Progress: 29.3% Elapsed: 8:44:09 temperature: no ada_p: No Discriminator_loss: 1.17487 Generator_loss: 1.0193
[INFO] 2020-09-18 23:19:03 > Step: 58700 Progress: 29.3% Elapsed: 8:44:57 temperature: no ada_p: No Discriminator_loss: 1.09235 Generator_loss: 0.44244
[INFO] 2020-09-18 23:19:51 > Step: 58800 Progress: 29.4% Elapsed: 8:45:45 temperature: no ada_p: No Discriminator_loss: 1.15474 Generator_loss: 1.14194
[INFO] 2020-09-18 23:20:39 > Step: 58900 Progress: 29.4% Elapsed: 8:46:34 temperature: no ada_p: No Discriminator_loss: 0.940327 Generator_loss: 0.78227
[INFO] 2020-09-18 23:21:27 > Step: 59000 Progress: 29.5% Elapsed: 8:47:21 temperature: no ada_p: No Discriminator_loss: 1.05084 Generator_loss: 0.633913
[INFO] 2020-09-18 23:22:16 > Step: 59100 Progress: 29.5% Elapsed: 8:48:10 temperature: no ada_p: No Discriminator_loss: 1.20399 Generator_loss: 0.943232
[INFO] 2020-09-18 23:23:04 > Step: 59200 Progress: 29.6% Elapsed: 8:48:58 temperature: no ada_p: No Discriminator_loss: 1.13471 Generator_loss: 1.01612
[INFO] 2020-09-18 23:23:52 > Step: 59300 Progress: 29.6% Elapsed: 8:49:46 temperature: no ada_p: No Discriminator_loss: 1.20583 Generator_loss: 0.570205
[INFO] 2020-09-18 23:24:40 > Step: 59400 Progress: 29.7% Elapsed: 8:50:35 temperature: no ada_p: No Discriminator_loss: 1.24882 Generator_loss: 0.42007
[INFO] 2020-09-18 23:25:28 > Step: 59500 Progress: 29.8% Elapsed: 8:51:22 temperature: no ada_p: No Discriminator_loss: 1.27382 Generator_loss: 1.00335
[INFO] 2020-09-18 23:26:16 > Step: 59600 Progress: 29.8% Elapsed: 8:52:10 temperature: no ada_p: No Discriminator_loss: 1.0695 Generator_loss: 1.09496
[INFO] 2020-09-18 23:27:04 > Step: 59700 Progress: 29.8% Elapsed: 8:52:58 temperature: no ada_p: No Discriminator_loss: 1.3613 Generator_loss: 0.363387
[INFO] 2020-09-18 23:27:51 > Step: 59800 Progress: 29.9% Elapsed: 8:53:45 temperature: no ada_p: No Discriminator_loss: 1.10065 Generator_loss: 0.921432
[INFO] 2020-09-18 23:28:39 > Step: 59900 Progress: 29.9% Elapsed: 8:54:33 temperature: no ada_p: No Discriminator_loss: 0.882804 Generator_loss: 0.669454
[INFO] 2020-09-18 23:29:27 > Step: 60000 Progress: 30.0% Elapsed: 8:55:21 temperature: no ada_p: No Discriminator_loss: 1.3933 Generator_loss: 0.82191
[INFO] 2020-09-18 23:29:27 > Start Evaluation (60000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:31:17 > F_8 score (Step: 60000, Using test images): 0.988746540006068
[INFO] 2020-09-18 23:31:17 > F_1/8 score (Step: 60000, Using test images): 0.9919681704051114
[INFO] 2020-09-18 23:31:17 > FID score (Step: 60000, Using test moments): 9.14688401349008
[INFO] 2020-09-18 23:31:17 > Inception score (Step: 60000, 10000 generated images): 9.608172416687012
[INFO] 2020-09-18 23:31:17 > Best FID score (Step: 60000, Using test moments): 9.14688401349008
[INFO] 2020-09-18 23:31:18 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:32:05 > Step: 60100 Progress: 30.0% Elapsed: 8:57:59 temperature: no ada_p: No Discriminator_loss: 1.16477 Generator_loss: 0.884076
[INFO] 2020-09-18 23:32:54 > Step: 60200 Progress: 30.1% Elapsed: 8:58:48 temperature: no ada_p: No Discriminator_loss: 1.13844 Generator_loss: 0.727679
[INFO] 2020-09-18 23:33:42 > Step: 60300 Progress: 30.1% Elapsed: 8:59:37 temperature: no ada_p: No Discriminator_loss: 1.21142 Generator_loss: 0.389419
[INFO] 2020-09-18 23:34:30 > Step: 60400 Progress: 30.2% Elapsed: 9:00:24 temperature: no ada_p: No Discriminator_loss: 1.19699 Generator_loss: 0.966179
[INFO] 2020-09-18 23:35:19 > Step: 60500 Progress: 30.2% Elapsed: 9:01:13 temperature: no ada_p: No Discriminator_loss: 1.30222 Generator_loss: 0.711852
[INFO] 2020-09-18 23:36:06 > Step: 60600 Progress: 30.3% Elapsed: 9:02:01 temperature: no ada_p: No Discriminator_loss: 1.26477 Generator_loss: 1.23333
[INFO] 2020-09-18 23:36:55 > Step: 60700 Progress: 30.3% Elapsed: 9:02:49 temperature: no ada_p: No Discriminator_loss: 1.13761 Generator_loss: 0.163918
[INFO] 2020-09-18 23:37:43 > Step: 60800 Progress: 30.4% Elapsed: 9:03:37 temperature: no ada_p: No Discriminator_loss: 1.13282 Generator_loss: 1.17277
[INFO] 2020-09-18 23:38:31 > Step: 60900 Progress: 30.4% Elapsed: 9:04:26 temperature: no ada_p: No Discriminator_loss: 1.37149 Generator_loss: 1.29119
[INFO] 2020-09-18 23:39:19 > Step: 61000 Progress: 30.5% Elapsed: 9:05:14 temperature: no ada_p: No Discriminator_loss: 1.09021 Generator_loss: 1.08019
[INFO] 2020-09-18 23:40:08 > Step: 61100 Progress: 30.6% Elapsed: 9:06:02 temperature: no ada_p: No Discriminator_loss: 1.12635 Generator_loss: 0.359137
[INFO] 2020-09-18 23:40:56 > Step: 61200 Progress: 30.6% Elapsed: 9:06:50 temperature: no ada_p: No Discriminator_loss: 1.17425 Generator_loss: 0.408613
[INFO] 2020-09-18 23:41:44 > Step: 61300 Progress: 30.6% Elapsed: 9:07:38 temperature: no ada_p: No Discriminator_loss: 1.04599 Generator_loss: 0.348858
[INFO] 2020-09-18 23:42:32 > Step: 61400 Progress: 30.7% Elapsed: 9:08:26 temperature: no ada_p: No Discriminator_loss: 1.37992 Generator_loss: 0.828204
[INFO] 2020-09-18 23:43:19 > Step: 61500 Progress: 30.8% Elapsed: 9:09:14 temperature: no ada_p: No Discriminator_loss: 1.23949 Generator_loss: 0.429903
[INFO] 2020-09-18 23:44:07 > Step: 61600 Progress: 30.8% Elapsed: 9:10:02 temperature: no ada_p: No Discriminator_loss: 1.11634 Generator_loss: 0.879092
[INFO] 2020-09-18 23:44:56 > Step: 61700 Progress: 30.9% Elapsed: 9:10:50 temperature: no ada_p: No Discriminator_loss: 1.46949 Generator_loss: 0.702038
[INFO] 2020-09-18 23:45:44 > Step: 61800 Progress: 30.9% Elapsed: 9:11:38 temperature: no ada_p: No Discriminator_loss: 0.958042 Generator_loss: 0.99738
[INFO] 2020-09-18 23:46:32 > Step: 61900 Progress: 30.9% Elapsed: 9:12:26 temperature: no ada_p: No Discriminator_loss: 1.13981 Generator_loss: 0.723947
[INFO] 2020-09-18 23:47:19 > Step: 62000 Progress: 31.0% Elapsed: 9:13:13 temperature: no ada_p: No Discriminator_loss: 0.906751 Generator_loss: 0.784177
[INFO] 2020-09-18 23:47:19 > Start Evaluation (62000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:49:10 > F_8 score (Step: 62000, Using test images): 0.9886548202837759
[INFO] 2020-09-18 23:49:10 > F_1/8 score (Step: 62000, Using test images): 0.993515774765496
[INFO] 2020-09-18 23:49:10 > FID score (Step: 62000, Using test moments): 9.024398985473624
[INFO] 2020-09-18 23:49:10 > Inception score (Step: 62000, 10000 generated images): 9.698829650878906
[INFO] 2020-09-18 23:49:10 > Best FID score (Step: 62000, Using test moments): 9.024398985473624
[INFO] 2020-09-18 23:49:11 > Saved model to checkpoints/DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-18 23:49:59 > Step: 62100 Progress: 31.1% Elapsed: 9:15:53 temperature: no ada_p: No Discriminator_loss: 1.23353 Generator_loss: 0.458891
[INFO] 2020-09-18 23:50:47 > Step: 62200 Progress: 31.1% Elapsed: 9:16:41 temperature: no ada_p: No Discriminator_loss: 1.15084 Generator_loss: 0.93769
[INFO] 2020-09-18 23:51:36 > Step: 62300 Progress: 31.1% Elapsed: 9:17:30 temperature: no ada_p: No Discriminator_loss: 1.07213 Generator_loss: 0.917533
[INFO] 2020-09-18 23:52:24 > Step: 62400 Progress: 31.2% Elapsed: 9:18:18 temperature: no ada_p: No Discriminator_loss: 1.28788 Generator_loss: 1.24932
[INFO] 2020-09-18 23:53:13 > Step: 62500 Progress: 31.2% Elapsed: 9:19:07 temperature: no ada_p: No Discriminator_loss: 1.0389 Generator_loss: 1.26097
[INFO] 2020-09-18 23:54:01 > Step: 62600 Progress: 31.3% Elapsed: 9:19:55 temperature: no ada_p: No Discriminator_loss: 1.01182 Generator_loss: 0.861524
[INFO] 2020-09-18 23:54:49 > Step: 62700 Progress: 31.4% Elapsed: 9:20:43 temperature: no ada_p: No Discriminator_loss: 1.27262 Generator_loss: 0.749242
[INFO] 2020-09-18 23:55:38 > Step: 62800 Progress: 31.4% Elapsed: 9:21:32 temperature: no ada_p: No Discriminator_loss: 1.32441 Generator_loss: 1.17085
[INFO] 2020-09-18 23:56:25 > Step: 62900 Progress: 31.4% Elapsed: 9:22:20 temperature: no ada_p: No Discriminator_loss: 0.860593 Generator_loss: 0.311961
[INFO] 2020-09-18 23:57:13 > Step: 63000 Progress: 31.5% Elapsed: 9:23:08 temperature: no ada_p: No Discriminator_loss: 1.26213 Generator_loss: 0.647784
[INFO] 2020-09-18 23:58:01 > Step: 63100 Progress: 31.6% Elapsed: 9:23:55 temperature: no ada_p: No Discriminator_loss: 1.24272 Generator_loss: 1.14623
[INFO] 2020-09-18 23:58:51 > Step: 63200 Progress: 31.6% Elapsed: 9:24:45 temperature: no ada_p: No Discriminator_loss: 0.869993 Generator_loss: 0.521071
[INFO] 2020-09-18 23:59:40 > Step: 63300 Progress: 31.6% Elapsed: 9:25:34 temperature: no ada_p: No Discriminator_loss: 1.07603 Generator_loss: 0.592721
[INFO] 2020-09-19 00:00:29 > Step: 63400 Progress: 31.7% Elapsed: 9:26:23 temperature: no ada_p: No Discriminator_loss: 0.999268 Generator_loss: 0.863307
[INFO] 2020-09-19 00:01:17 > Step: 63500 Progress: 31.8% Elapsed: 9:27:11 temperature: no ada_p: No Discriminator_loss: 1.28366 Generator_loss: 1.3082
[INFO] 2020-09-19 00:02:05 > Step: 63600 Progress: 31.8% Elapsed: 9:27:59 temperature: no ada_p: No Discriminator_loss: 1.14371 Generator_loss: 0.572814
[INFO] 2020-09-19 00:02:53 > Step: 63700 Progress: 31.9% Elapsed: 9:28:47 temperature: no ada_p: No Discriminator_loss: 1.21577 Generator_loss: 0.426453
[INFO] 2020-09-19 00:03:41 > Step: 63800 Progress: 31.9% Elapsed: 9:29:35 temperature: no ada_p: No Discriminator_loss: 0.977158 Generator_loss: 0.983588
[INFO] 2020-09-19 00:04:29 > Step: 63900 Progress: 31.9% Elapsed: 9:30:23 temperature: no ada_p: No Discriminator_loss: 1.15831 Generator_loss: 0.460291
[INFO] 2020-09-19 00:05:16 > Step: 64000 Progress: 32.0% Elapsed: 9:31:10 temperature: no ada_p: No Discriminator_loss: 1.22573 Generator_loss: 0.19913
[INFO] 2020-09-19 00:05:16 > Start Evaluation (64000 Step): DiffAugGAN(P)-train-2020_09_18_14_33_57
[INFO] 2020-09-19 00:07:07 > F_8 score (Step: 64000, Using test images): 0.9915995652002764
[INFO] 2020-09-19 00:07:07 > F_1/8 score (Step: 64000, Using test images): 0.9933670356495031
[INFO] 2020-09-19 00:07:07 > FID score (Step: 64000, Using test moments): 9.035711362530776
[INFO] 2020-09-19 00:07:07 > Inception score (Step: 64000, 10000 generated images): 9.83456802368164
[INFO] 2020-09-19 00:07:07 > Best FID score (Step: 62000, Using test moments): 9.024398985473624