forked from POSTECH-CVLab/PyTorch-StudioGAN
-
Notifications
You must be signed in to change notification settings - Fork 0
/
SNGAN-train-2021_01_15_11_59_43.log
1745 lines (1745 loc) · 208 KB
/
SNGAN-train-2021_01_15_11_59_43.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] 2021-01-15 11:59:43 > Run name : SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 11:59:43 > {'config_path': './src/configs/TINY_ILSVRC2012/SNGAN.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, '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, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-15 11:59:43 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'resnet', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}}
[INFO] 2021-01-15 11:59:43 > Load train datasets...
[INFO] 2021-01-15 11:59:46 > Train dataset size : 100000
[INFO] 2021-01-15 11:59:46 > Load valid datasets...
[INFO] 2021-01-15 11:59:46 > Eval dataset size : 10000
[INFO] 2021-01-15 11:59:46 > Build model...
[INFO] 2021-01-15 11:59:46 > Modules are located on models.resnet.
[INFO] 2021-01-15 11:59:54 > Number of parameters: 13366915
[INFO] 2021-01-15 11:59:54 > Generator(
(linear0): Linear(in_features=128, out_features=16384, bias=True)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 1024)
(embed1): Embedding(200, 1024)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 512)
(embed1): Embedding(200, 512)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1024, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 512)
(embed1): Embedding(200, 512)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 256)
(embed1): Embedding(200, 256)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 256)
(embed1): Embedding(200, 256)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 128)
(embed1): Embedding(200, 128)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d(
(bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 128)
(embed1): Embedding(200, 128)
)
(bn2): ConditionalBatchNorm2d(
(bn): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(embed0): Embedding(200, 64)
(embed1): Embedding(200, 64)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-15 11:59:54 > Number of parameters: 19747521
[INFO] 2021-01-15 11:59:54 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 64, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(64, 64, 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): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(3): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(4): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1024, 1024, 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=1024, out_features=1, bias=True)
(embedding): Embedding(200, 1024)
)
[INFO] 2021-01-15 12:00:01 > Start training....
[INFO] 2021-01-15 12:00:54 > Step: 100 Progress: 0.1% Elapsed: 0:00:52 temperature: no ada_p: No Discriminator_loss: 1.90574 Generator_loss: 0.328035
[INFO] 2021-01-15 12:01:41 > Step: 200 Progress: 0.2% Elapsed: 0:01:39 temperature: no ada_p: No Discriminator_loss: 1.93741 Generator_loss: 0.246465
[INFO] 2021-01-15 12:02:28 > Step: 300 Progress: 0.3% Elapsed: 0:02:26 temperature: no ada_p: No Discriminator_loss: 1.87119 Generator_loss: -0.575797
[INFO] 2021-01-15 12:03:15 > Step: 400 Progress: 0.4% Elapsed: 0:03:13 temperature: no ada_p: No Discriminator_loss: 1.95361 Generator_loss: -0.202123
[INFO] 2021-01-15 12:04:02 > Step: 500 Progress: 0.5% Elapsed: 0:04:00 temperature: no ada_p: No Discriminator_loss: 1.50976 Generator_loss: -0.578735
[INFO] 2021-01-15 12:04:49 > Step: 600 Progress: 0.6% Elapsed: 0:04:47 temperature: no ada_p: No Discriminator_loss: 1.86284 Generator_loss: -0.511778
[INFO] 2021-01-15 12:05:36 > Step: 700 Progress: 0.7% Elapsed: 0:05:33 temperature: no ada_p: No Discriminator_loss: 1.98063 Generator_loss: -0.0542
[INFO] 2021-01-15 12:06:23 > Step: 800 Progress: 0.8% Elapsed: 0:06:21 temperature: no ada_p: No Discriminator_loss: 1.866 Generator_loss: 0.591618
[INFO] 2021-01-15 12:07:10 > Step: 900 Progress: 0.9% Elapsed: 0:07:08 temperature: no ada_p: No Discriminator_loss: 1.78435 Generator_loss: -0.726713
[INFO] 2021-01-15 12:07:57 > Step: 1000 Progress: 1.0% Elapsed: 0:07:54 temperature: no ada_p: No Discriminator_loss: 1.814 Generator_loss: 0.367961
[INFO] 2021-01-15 12:08:43 > Step: 1100 Progress: 1.1% Elapsed: 0:08:41 temperature: no ada_p: No Discriminator_loss: 1.95511 Generator_loss: -0.308237
[INFO] 2021-01-15 12:09:31 > Step: 1200 Progress: 1.2% Elapsed: 0:09:29 temperature: no ada_p: No Discriminator_loss: 1.89052 Generator_loss: 0.361763
[INFO] 2021-01-15 12:10:18 > Step: 1300 Progress: 1.3% Elapsed: 0:10:16 temperature: no ada_p: No Discriminator_loss: 1.93064 Generator_loss: 0.289291
[INFO] 2021-01-15 12:11:04 > Step: 1400 Progress: 1.4% Elapsed: 0:11:02 temperature: no ada_p: No Discriminator_loss: 1.88759 Generator_loss: 0.587905
[INFO] 2021-01-15 12:11:51 > Step: 1500 Progress: 1.5% Elapsed: 0:11:49 temperature: no ada_p: No Discriminator_loss: 1.85789 Generator_loss: 1.01453
[INFO] 2021-01-15 12:12:39 > Step: 1600 Progress: 1.6% Elapsed: 0:12:37 temperature: no ada_p: No Discriminator_loss: 1.69283 Generator_loss: -0.977688
[INFO] 2021-01-15 12:13:26 > Step: 1700 Progress: 1.7% Elapsed: 0:13:24 temperature: no ada_p: No Discriminator_loss: 1.9216 Generator_loss: -0.0382061
[INFO] 2021-01-15 12:14:13 > Step: 1800 Progress: 1.8% Elapsed: 0:14:11 temperature: no ada_p: No Discriminator_loss: 1.9432 Generator_loss: 0.201079
[INFO] 2021-01-15 12:14:59 > Step: 1900 Progress: 1.9% Elapsed: 0:14:57 temperature: no ada_p: No Discriminator_loss: 1.7888 Generator_loss: 1.04774
[INFO] 2021-01-15 12:15:47 > Step: 2000 Progress: 2.0% Elapsed: 0:15:45 temperature: no ada_p: No Discriminator_loss: 1.86052 Generator_loss: -0.255533
[INFO] 2021-01-15 12:15:47 > Start Evaluation (2000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:15:47 > Calculating FID Score....
[INFO] 2021-01-15 12:16:10 > Calculating Inception Score....
[INFO] 2021-01-15 12:16:23 > Calculate F_beta Score....
[INFO] 2021-01-15 12:17:23 > Calculate Accuracies....
[INFO] 2021-01-15 12:17:28 > Calculate Accuracies....
[INFO] 2021-01-15 12:17:41 > F_8 score (Step: 2000, Using valid images): 0.08830147463512601
[INFO] 2021-01-15 12:17:41 > F_1/8 score (Step: 2000, Using valid images): 0.2880966278075337
[INFO] 2021-01-15 12:17:41 > FID score (Step: 2000, Using valid moments): 138.1404537249033
[INFO] 2021-01-15 12:17:41 > Inception score (Step: 2000, 10000 generated images): 3.932767629623413
[INFO] 2021-01-15 12:17:41 > Best FID score (Step: 2000, Using valid moments): 138.1404537249033
[INFO] 2021-01-15 12:17:43 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:18:30 > Step: 2100 Progress: 2.1% Elapsed: 0:18:27 temperature: no ada_p: No Discriminator_loss: 1.77273 Generator_loss: 0.32052
[INFO] 2021-01-15 12:19:16 > Step: 2200 Progress: 2.2% Elapsed: 0:19:14 temperature: no ada_p: No Discriminator_loss: 1.94152 Generator_loss: -0.0465223
[INFO] 2021-01-15 12:20:03 > Step: 2300 Progress: 2.3% Elapsed: 0:20:01 temperature: no ada_p: No Discriminator_loss: 1.84778 Generator_loss: -0.319188
[INFO] 2021-01-15 12:20:51 > Step: 2400 Progress: 2.4% Elapsed: 0:20:49 temperature: no ada_p: No Discriminator_loss: 1.81062 Generator_loss: 1.18573
[INFO] 2021-01-15 12:21:38 > Step: 2500 Progress: 2.5% Elapsed: 0:21:35 temperature: no ada_p: No Discriminator_loss: 2.00004 Generator_loss: -0.438073
[INFO] 2021-01-15 12:22:24 > Step: 2600 Progress: 2.6% Elapsed: 0:22:22 temperature: no ada_p: No Discriminator_loss: 2.0121 Generator_loss: -0.425878
[INFO] 2021-01-15 12:23:11 > Step: 2700 Progress: 2.7% Elapsed: 0:23:09 temperature: no ada_p: No Discriminator_loss: 2.01499 Generator_loss: -0.341027
[INFO] 2021-01-15 12:23:59 > Step: 2800 Progress: 2.8% Elapsed: 0:23:57 temperature: no ada_p: No Discriminator_loss: 1.99151 Generator_loss: -0.304373
[INFO] 2021-01-15 12:24:45 > Step: 2900 Progress: 2.9% Elapsed: 0:24:43 temperature: no ada_p: No Discriminator_loss: 1.96058 Generator_loss: -0.391151
[INFO] 2021-01-15 12:25:32 > Step: 3000 Progress: 3.0% Elapsed: 0:25:30 temperature: no ada_p: No Discriminator_loss: 2.05309 Generator_loss: -0.195273
[INFO] 2021-01-15 12:26:19 > Step: 3100 Progress: 3.1% Elapsed: 0:26:17 temperature: no ada_p: No Discriminator_loss: 1.67853 Generator_loss: -0.836206
[INFO] 2021-01-15 12:27:07 > Step: 3200 Progress: 3.2% Elapsed: 0:27:05 temperature: no ada_p: No Discriminator_loss: 1.796 Generator_loss: 0.86661
[INFO] 2021-01-15 12:27:53 > Step: 3300 Progress: 3.3% Elapsed: 0:27:51 temperature: no ada_p: No Discriminator_loss: 1.95023 Generator_loss: 0.192975
[INFO] 2021-01-15 12:28:40 > Step: 3400 Progress: 3.4% Elapsed: 0:28:38 temperature: no ada_p: No Discriminator_loss: 1.82534 Generator_loss: 0.908517
[INFO] 2021-01-15 12:29:27 > Step: 3500 Progress: 3.5% Elapsed: 0:29:25 temperature: no ada_p: No Discriminator_loss: 1.92803 Generator_loss: -0.215349
[INFO] 2021-01-15 12:30:15 > Step: 3600 Progress: 3.6% Elapsed: 0:30:13 temperature: no ada_p: No Discriminator_loss: 1.98585 Generator_loss: -0.143746
[INFO] 2021-01-15 12:31:02 > Step: 3700 Progress: 3.7% Elapsed: 0:30:59 temperature: no ada_p: No Discriminator_loss: 1.98196 Generator_loss: -0.683168
[INFO] 2021-01-15 12:31:48 > Step: 3800 Progress: 3.8% Elapsed: 0:31:46 temperature: no ada_p: No Discriminator_loss: 1.71972 Generator_loss: -0.793015
[INFO] 2021-01-15 12:32:35 > Step: 3900 Progress: 3.9% Elapsed: 0:32:33 temperature: no ada_p: No Discriminator_loss: 1.84462 Generator_loss: 0.706471
[INFO] 2021-01-15 12:33:23 > Step: 4000 Progress: 4.0% Elapsed: 0:33:21 temperature: no ada_p: No Discriminator_loss: 1.95494 Generator_loss: -0.0658721
[INFO] 2021-01-15 12:33:23 > Start Evaluation (4000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:33:23 > Calculating FID Score....
[INFO] 2021-01-15 12:33:44 > Calculating Inception Score....
[INFO] 2021-01-15 12:33:57 > Calculate F_beta Score....
[INFO] 2021-01-15 12:34:58 > Calculate Accuracies....
[INFO] 2021-01-15 12:35:04 > Calculate Accuracies....
[INFO] 2021-01-15 12:35:17 > F_8 score (Step: 4000, Using valid images): 0.41840266978475893
[INFO] 2021-01-15 12:35:17 > F_1/8 score (Step: 4000, Using valid images): 0.5580164743058375
[INFO] 2021-01-15 12:35:17 > FID score (Step: 4000, Using valid moments): 99.45935242560842
[INFO] 2021-01-15 12:35:17 > Inception score (Step: 4000, 10000 generated images): 5.450445652008057
[INFO] 2021-01-15 12:35:17 > Best FID score (Step: 4000, Using valid moments): 99.45935242560842
[INFO] 2021-01-15 12:35:19 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:36:06 > Step: 4100 Progress: 4.1% Elapsed: 0:36:03 temperature: no ada_p: No Discriminator_loss: 1.98994 Generator_loss: -0.614134
[INFO] 2021-01-15 12:36:52 > Step: 4200 Progress: 4.2% Elapsed: 0:36:50 temperature: no ada_p: No Discriminator_loss: 1.99639 Generator_loss: -0.544107
[INFO] 2021-01-15 12:37:40 > Step: 4300 Progress: 4.3% Elapsed: 0:37:38 temperature: no ada_p: No Discriminator_loss: 1.99431 Generator_loss: -0.360551
[INFO] 2021-01-15 12:38:27 > Step: 4400 Progress: 4.4% Elapsed: 0:38:24 temperature: no ada_p: No Discriminator_loss: 1.7746 Generator_loss: 0.681534
[INFO] 2021-01-15 12:39:13 > Step: 4500 Progress: 4.5% Elapsed: 0:39:11 temperature: no ada_p: No Discriminator_loss: 1.94843 Generator_loss: 0.340395
[INFO] 2021-01-15 12:40:00 > Step: 4600 Progress: 4.6% Elapsed: 0:39:58 temperature: no ada_p: No Discriminator_loss: 2.03211 Generator_loss: -0.33208
[INFO] 2021-01-15 12:40:48 > Step: 4700 Progress: 4.7% Elapsed: 0:40:46 temperature: no ada_p: No Discriminator_loss: 1.97465 Generator_loss: -0.657754
[INFO] 2021-01-15 12:41:35 > Step: 4800 Progress: 4.8% Elapsed: 0:41:32 temperature: no ada_p: No Discriminator_loss: 1.88567 Generator_loss: 0.855085
[INFO] 2021-01-15 12:42:21 > Step: 4900 Progress: 4.9% Elapsed: 0:42:19 temperature: no ada_p: No Discriminator_loss: 1.97225 Generator_loss: 0.264557
[INFO] 2021-01-15 12:43:08 > Step: 5000 Progress: 5.0% Elapsed: 0:43:06 temperature: no ada_p: No Discriminator_loss: 1.95416 Generator_loss: -0.597632
[INFO] 2021-01-15 12:43:56 > Step: 5100 Progress: 5.1% Elapsed: 0:43:54 temperature: no ada_p: No Discriminator_loss: 2.01221 Generator_loss: -0.621484
[INFO] 2021-01-15 12:44:43 > Step: 5200 Progress: 5.2% Elapsed: 0:44:41 temperature: no ada_p: No Discriminator_loss: 1.89688 Generator_loss: 0.314278
[INFO] 2021-01-15 12:45:29 > Step: 5300 Progress: 5.3% Elapsed: 0:45:27 temperature: no ada_p: No Discriminator_loss: 1.89464 Generator_loss: 0.430971
[INFO] 2021-01-15 12:46:16 > Step: 5400 Progress: 5.4% Elapsed: 0:46:14 temperature: no ada_p: No Discriminator_loss: 1.89485 Generator_loss: 0.120097
[INFO] 2021-01-15 12:47:04 > Step: 5500 Progress: 5.5% Elapsed: 0:47:02 temperature: no ada_p: No Discriminator_loss: 2.01197 Generator_loss: -0.439163
[INFO] 2021-01-15 12:47:51 > Step: 5600 Progress: 5.6% Elapsed: 0:47:49 temperature: no ada_p: No Discriminator_loss: 1.93661 Generator_loss: 0.471135
[INFO] 2021-01-15 12:48:37 > Step: 5700 Progress: 5.7% Elapsed: 0:48:35 temperature: no ada_p: No Discriminator_loss: 1.66448 Generator_loss: 0.203174
[INFO] 2021-01-15 12:49:24 > Step: 5800 Progress: 5.8% Elapsed: 0:49:22 temperature: no ada_p: No Discriminator_loss: 1.92026 Generator_loss: 0.171018
[INFO] 2021-01-15 12:50:12 > Step: 5900 Progress: 5.9% Elapsed: 0:50:10 temperature: no ada_p: No Discriminator_loss: 1.76037 Generator_loss: -0.401714
[INFO] 2021-01-15 12:50:59 > Step: 6000 Progress: 6.0% Elapsed: 0:50:57 temperature: no ada_p: No Discriminator_loss: 2.03183 Generator_loss: -0.221922
[INFO] 2021-01-15 12:50:59 > Start Evaluation (6000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:50:59 > Calculating FID Score....
[INFO] 2021-01-15 12:51:19 > Calculating Inception Score....
[INFO] 2021-01-15 12:51:32 > Calculate F_beta Score....
[INFO] 2021-01-15 12:52:32 > Calculate Accuracies....
[INFO] 2021-01-15 12:52:37 > Calculate Accuracies....
[INFO] 2021-01-15 12:52:50 > F_8 score (Step: 6000, Using valid images): 0.5170264769653747
[INFO] 2021-01-15 12:52:50 > F_1/8 score (Step: 6000, Using valid images): 0.6992754241568235
[INFO] 2021-01-15 12:52:50 > FID score (Step: 6000, Using valid moments): 80.19795834393693
[INFO] 2021-01-15 12:52:50 > Inception score (Step: 6000, 10000 generated images): 6.192427158355713
[INFO] 2021-01-15 12:52:50 > Best FID score (Step: 6000, Using valid moments): 80.19795834393693
[INFO] 2021-01-15 12:52:52 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 12:53:39 > Step: 6100 Progress: 6.1% Elapsed: 0:53:37 temperature: no ada_p: No Discriminator_loss: 2.02881 Generator_loss: -0.687583
[INFO] 2021-01-15 12:54:25 > Step: 6200 Progress: 6.2% Elapsed: 0:54:23 temperature: no ada_p: No Discriminator_loss: 1.98638 Generator_loss: -0.441873
[INFO] 2021-01-15 12:55:13 > Step: 6300 Progress: 6.3% Elapsed: 0:55:11 temperature: no ada_p: No Discriminator_loss: 1.76266 Generator_loss: 0.798317
[INFO] 2021-01-15 12:56:00 > Step: 6400 Progress: 6.4% Elapsed: 0:55:58 temperature: no ada_p: No Discriminator_loss: 1.85787 Generator_loss: 0.874477
[INFO] 2021-01-15 12:56:47 > Step: 6500 Progress: 6.5% Elapsed: 0:56:44 temperature: no ada_p: No Discriminator_loss: 1.85581 Generator_loss: 0.988999
[INFO] 2021-01-15 12:57:33 > Step: 6600 Progress: 6.6% Elapsed: 0:57:31 temperature: no ada_p: No Discriminator_loss: 1.91311 Generator_loss: -0.0181897
[INFO] 2021-01-15 12:58:21 > Step: 6700 Progress: 6.7% Elapsed: 0:58:19 temperature: no ada_p: No Discriminator_loss: 2.01335 Generator_loss: -0.699588
[INFO] 2021-01-15 12:59:08 > Step: 6800 Progress: 6.8% Elapsed: 0:59:06 temperature: no ada_p: No Discriminator_loss: 1.91597 Generator_loss: -0.0740123
[INFO] 2021-01-15 12:59:55 > Step: 6900 Progress: 6.9% Elapsed: 0:59:52 temperature: no ada_p: No Discriminator_loss: 1.94678 Generator_loss: -0.334886
[INFO] 2021-01-15 13:00:41 > Step: 7000 Progress: 7.0% Elapsed: 1:00:39 temperature: no ada_p: No Discriminator_loss: 1.77262 Generator_loss: -1.19577
[INFO] 2021-01-15 13:01:29 > Step: 7100 Progress: 7.1% Elapsed: 1:01:27 temperature: no ada_p: No Discriminator_loss: 1.96916 Generator_loss: -0.64723
[INFO] 2021-01-15 13:02:16 > Step: 7200 Progress: 7.2% Elapsed: 1:02:14 temperature: no ada_p: No Discriminator_loss: 1.87944 Generator_loss: 0.812716
[INFO] 2021-01-15 13:03:02 > Step: 7300 Progress: 7.3% Elapsed: 1:03:00 temperature: no ada_p: No Discriminator_loss: 1.66738 Generator_loss: 0.0288636
[INFO] 2021-01-15 13:03:49 > Step: 7400 Progress: 7.4% Elapsed: 1:03:47 temperature: no ada_p: No Discriminator_loss: 1.84546 Generator_loss: 0.126987
[INFO] 2021-01-15 13:04:37 > Step: 7500 Progress: 7.5% Elapsed: 1:04:35 temperature: no ada_p: No Discriminator_loss: 1.94467 Generator_loss: -0.387737
[INFO] 2021-01-15 13:05:24 > Step: 7600 Progress: 7.6% Elapsed: 1:05:22 temperature: no ada_p: No Discriminator_loss: 1.92208 Generator_loss: -0.342273
[INFO] 2021-01-15 13:06:11 > Step: 7700 Progress: 7.7% Elapsed: 1:06:09 temperature: no ada_p: No Discriminator_loss: 1.63847 Generator_loss: -0.799331
[INFO] 2021-01-15 13:06:58 > Step: 7800 Progress: 7.8% Elapsed: 1:06:55 temperature: no ada_p: No Discriminator_loss: 2.14539 Generator_loss: -0.661884
[INFO] 2021-01-15 13:07:45 > Step: 7900 Progress: 7.9% Elapsed: 1:07:43 temperature: no ada_p: No Discriminator_loss: 1.80013 Generator_loss: 1.12523
[INFO] 2021-01-15 13:08:32 > Step: 8000 Progress: 8.0% Elapsed: 1:08:30 temperature: no ada_p: No Discriminator_loss: 1.75397 Generator_loss: 0.0785608
[INFO] 2021-01-15 13:08:32 > Start Evaluation (8000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:08:32 > Calculating FID Score....
[INFO] 2021-01-15 13:08:53 > Calculating Inception Score....
[INFO] 2021-01-15 13:09:06 > Calculate F_beta Score....
[INFO] 2021-01-15 13:10:07 > Calculate Accuracies....
[INFO] 2021-01-15 13:10:12 > Calculate Accuracies....
[INFO] 2021-01-15 13:10:25 > F_8 score (Step: 8000, Using valid images): 0.5447913682840297
[INFO] 2021-01-15 13:10:25 > F_1/8 score (Step: 8000, Using valid images): 0.8235144879460635
[INFO] 2021-01-15 13:10:25 > FID score (Step: 8000, Using valid moments): 77.75490134250191
[INFO] 2021-01-15 13:10:25 > Inception score (Step: 8000, 10000 generated images): 6.708065509796143
[INFO] 2021-01-15 13:10:25 > Best FID score (Step: 8000, Using valid moments): 77.75490134250191
[INFO] 2021-01-15 13:10:28 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:11:14 > Step: 8100 Progress: 8.1% Elapsed: 1:11:12 temperature: no ada_p: No Discriminator_loss: 1.60138 Generator_loss: -0.958373
[INFO] 2021-01-15 13:12:02 > Step: 8200 Progress: 8.2% Elapsed: 1:12:00 temperature: no ada_p: No Discriminator_loss: 1.73606 Generator_loss: 1.21214
[INFO] 2021-01-15 13:12:49 > Step: 8300 Progress: 8.3% Elapsed: 1:12:46 temperature: no ada_p: No Discriminator_loss: 1.75981 Generator_loss: -0.788108
[INFO] 2021-01-15 13:13:35 > Step: 8400 Progress: 8.4% Elapsed: 1:13:33 temperature: no ada_p: No Discriminator_loss: 2.03838 Generator_loss: -0.665993
[INFO] 2021-01-15 13:14:22 > Step: 8500 Progress: 8.5% Elapsed: 1:14:20 temperature: no ada_p: No Discriminator_loss: 1.98835 Generator_loss: -0.590737
[INFO] 2021-01-15 13:15:10 > Step: 8600 Progress: 8.6% Elapsed: 1:15:08 temperature: no ada_p: No Discriminator_loss: 1.73178 Generator_loss: 0.995062
[INFO] 2021-01-15 13:15:57 > Step: 8700 Progress: 8.7% Elapsed: 1:15:55 temperature: no ada_p: No Discriminator_loss: 1.87164 Generator_loss: 0.147625
[INFO] 2021-01-15 13:16:43 > Step: 8800 Progress: 8.8% Elapsed: 1:16:41 temperature: no ada_p: No Discriminator_loss: 1.51152 Generator_loss: -0.896451
[INFO] 2021-01-15 13:17:30 > Step: 8900 Progress: 8.9% Elapsed: 1:17:28 temperature: no ada_p: No Discriminator_loss: 1.56374 Generator_loss: 0.0917942
[INFO] 2021-01-15 13:18:18 > Step: 9000 Progress: 9.0% Elapsed: 1:18:16 temperature: no ada_p: No Discriminator_loss: 1.72694 Generator_loss: 0.597256
[INFO] 2021-01-15 13:19:05 > Step: 9100 Progress: 9.1% Elapsed: 1:19:03 temperature: no ada_p: No Discriminator_loss: 1.68206 Generator_loss: 0.225082
[INFO] 2021-01-15 13:19:51 > Step: 9200 Progress: 9.2% Elapsed: 1:19:49 temperature: no ada_p: No Discriminator_loss: 1.87232 Generator_loss: 0.349506
[INFO] 2021-01-15 13:20:38 > Step: 9300 Progress: 9.3% Elapsed: 1:20:36 temperature: no ada_p: No Discriminator_loss: 1.51682 Generator_loss: -0.371277
[INFO] 2021-01-15 13:21:26 > Step: 9400 Progress: 9.4% Elapsed: 1:21:24 temperature: no ada_p: No Discriminator_loss: 1.87929 Generator_loss: 0.0635386
[INFO] 2021-01-15 13:22:13 > Step: 9500 Progress: 9.5% Elapsed: 1:22:11 temperature: no ada_p: No Discriminator_loss: 1.96563 Generator_loss: -0.743981
[INFO] 2021-01-15 13:22:59 > Step: 9600 Progress: 9.6% Elapsed: 1:22:57 temperature: no ada_p: No Discriminator_loss: 1.85846 Generator_loss: -0.254405
[INFO] 2021-01-15 13:23:46 > Step: 9700 Progress: 9.7% Elapsed: 1:23:44 temperature: no ada_p: No Discriminator_loss: 1.53395 Generator_loss: 1.37189
[INFO] 2021-01-15 13:24:34 > Step: 9800 Progress: 9.8% Elapsed: 1:24:32 temperature: no ada_p: No Discriminator_loss: 1.91294 Generator_loss: -0.206765
[INFO] 2021-01-15 13:25:21 > Step: 9900 Progress: 9.9% Elapsed: 1:25:19 temperature: no ada_p: No Discriminator_loss: 1.82387 Generator_loss: 0.231896
[INFO] 2021-01-15 13:26:08 > Step: 10000 Progress: 10.0% Elapsed: 1:26:06 temperature: no ada_p: No Discriminator_loss: 1.79052 Generator_loss: 0.587348
[INFO] 2021-01-15 13:26:08 > Start Evaluation (10000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:26:08 > Calculating FID Score....
[INFO] 2021-01-15 13:26:29 > Calculating Inception Score....
[INFO] 2021-01-15 13:26:42 > Calculate F_beta Score....
[INFO] 2021-01-15 13:27:42 > Calculate Accuracies....
[INFO] 2021-01-15 13:27:47 > Calculate Accuracies....
[INFO] 2021-01-15 13:28:00 > F_8 score (Step: 10000, Using valid images): 0.5949149853214882
[INFO] 2021-01-15 13:28:00 > F_1/8 score (Step: 10000, Using valid images): 0.7799220798328053
[INFO] 2021-01-15 13:28:00 > FID score (Step: 10000, Using valid moments): 69.12870024387564
[INFO] 2021-01-15 13:28:00 > Inception score (Step: 10000, 10000 generated images): 7.262378215789795
[INFO] 2021-01-15 13:28:00 > Best FID score (Step: 10000, Using valid moments): 69.12870024387564
[INFO] 2021-01-15 13:28:03 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:28:49 > Step: 10100 Progress: 10.1% Elapsed: 1:28:47 temperature: no ada_p: No Discriminator_loss: 1.99994 Generator_loss: -0.762265
[INFO] 2021-01-15 13:29:37 > Step: 10200 Progress: 10.2% Elapsed: 1:29:35 temperature: no ada_p: No Discriminator_loss: 1.89587 Generator_loss: -0.0329218
[INFO] 2021-01-15 13:30:24 > Step: 10300 Progress: 10.3% Elapsed: 1:30:22 temperature: no ada_p: No Discriminator_loss: 1.57811 Generator_loss: -0.556283
[INFO] 2021-01-15 13:31:11 > Step: 10400 Progress: 10.4% Elapsed: 1:31:09 temperature: no ada_p: No Discriminator_loss: 1.59639 Generator_loss: 0.874899
[INFO] 2021-01-15 13:31:58 > Step: 10500 Progress: 10.5% Elapsed: 1:31:56 temperature: no ada_p: No Discriminator_loss: 1.89922 Generator_loss: -0.289974
[INFO] 2021-01-15 13:32:45 > Step: 10600 Progress: 10.6% Elapsed: 1:32:43 temperature: no ada_p: No Discriminator_loss: 1.62669 Generator_loss: 1.03649
[INFO] 2021-01-15 13:33:32 > Step: 10700 Progress: 10.7% Elapsed: 1:33:30 temperature: no ada_p: No Discriminator_loss: 1.53378 Generator_loss: 0.79893
[INFO] 2021-01-15 13:34:19 > Step: 10800 Progress: 10.8% Elapsed: 1:34:17 temperature: no ada_p: No Discriminator_loss: 1.84847 Generator_loss: 0.157793
[INFO] 2021-01-15 13:35:06 > Step: 10900 Progress: 10.9% Elapsed: 1:35:04 temperature: no ada_p: No Discriminator_loss: 1.41204 Generator_loss: 0.703932
[INFO] 2021-01-15 13:35:53 > Step: 11000 Progress: 11.0% Elapsed: 1:35:51 temperature: no ada_p: No Discriminator_loss: 2.00276 Generator_loss: -0.705262
[INFO] 2021-01-15 13:36:40 > Step: 11100 Progress: 11.1% Elapsed: 1:36:38 temperature: no ada_p: No Discriminator_loss: 1.75641 Generator_loss: 0.704963
[INFO] 2021-01-15 13:37:27 > Step: 11200 Progress: 11.2% Elapsed: 1:37:25 temperature: no ada_p: No Discriminator_loss: 2.03495 Generator_loss: -0.681295
[INFO] 2021-01-15 13:38:14 > Step: 11300 Progress: 11.3% Elapsed: 1:38:12 temperature: no ada_p: No Discriminator_loss: 1.69689 Generator_loss: 1.16575
[INFO] 2021-01-15 13:39:01 > Step: 11400 Progress: 11.4% Elapsed: 1:38:59 temperature: no ada_p: No Discriminator_loss: 1.37822 Generator_loss: 0.11857
[INFO] 2021-01-15 13:39:48 > Step: 11500 Progress: 11.5% Elapsed: 1:39:46 temperature: no ada_p: No Discriminator_loss: 1.386 Generator_loss: -0.217957
[INFO] 2021-01-15 13:40:35 > Step: 11600 Progress: 11.6% Elapsed: 1:40:33 temperature: no ada_p: No Discriminator_loss: 1.85182 Generator_loss: -0.157383
[INFO] 2021-01-15 13:41:22 > Step: 11700 Progress: 11.7% Elapsed: 1:41:20 temperature: no ada_p: No Discriminator_loss: 1.57701 Generator_loss: -0.710173
[INFO] 2021-01-15 13:42:09 > Step: 11800 Progress: 11.8% Elapsed: 1:42:07 temperature: no ada_p: No Discriminator_loss: 2.03626 Generator_loss: 0.11711
[INFO] 2021-01-15 13:42:56 > Step: 11900 Progress: 11.9% Elapsed: 1:42:54 temperature: no ada_p: No Discriminator_loss: 1.55563 Generator_loss: -1.11285
[INFO] 2021-01-15 13:43:43 > Step: 12000 Progress: 12.0% Elapsed: 1:43:41 temperature: no ada_p: No Discriminator_loss: 1.90806 Generator_loss: -0.0743627
[INFO] 2021-01-15 13:43:43 > Start Evaluation (12000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:43:43 > Calculating FID Score....
[INFO] 2021-01-15 13:44:04 > Calculating Inception Score....
[INFO] 2021-01-15 13:44:17 > Calculate F_beta Score....
[INFO] 2021-01-15 13:45:18 > Calculate Accuracies....
[INFO] 2021-01-15 13:45:23 > Calculate Accuracies....
[INFO] 2021-01-15 13:45:36 > F_8 score (Step: 12000, Using valid images): 0.57436475027062
[INFO] 2021-01-15 13:45:36 > F_1/8 score (Step: 12000, Using valid images): 0.8309962641215961
[INFO] 2021-01-15 13:45:36 > FID score (Step: 12000, Using valid moments): 69.66766633439306
[INFO] 2021-01-15 13:45:36 > Inception score (Step: 12000, 10000 generated images): 7.2149739265441895
[INFO] 2021-01-15 13:45:36 > Best FID score (Step: 10000, Using valid moments): 69.12870024387564
[INFO] 2021-01-15 13:45:37 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 13:46:25 > Step: 12100 Progress: 12.1% Elapsed: 1:46:23 temperature: no ada_p: No Discriminator_loss: 1.67797 Generator_loss: -0.89905
[INFO] 2021-01-15 13:47:11 > Step: 12200 Progress: 12.2% Elapsed: 1:47:09 temperature: no ada_p: No Discriminator_loss: 1.51988 Generator_loss: 1.06808
[INFO] 2021-01-15 13:47:58 > Step: 12300 Progress: 12.3% Elapsed: 1:47:56 temperature: no ada_p: No Discriminator_loss: 1.4135 Generator_loss: 0.655274
[INFO] 2021-01-15 13:48:45 > Step: 12400 Progress: 12.4% Elapsed: 1:48:43 temperature: no ada_p: No Discriminator_loss: 1.59095 Generator_loss: -1.02166
[INFO] 2021-01-15 13:49:33 > Step: 12500 Progress: 12.5% Elapsed: 1:49:31 temperature: no ada_p: No Discriminator_loss: 1.91959 Generator_loss: -0.0186184
[INFO] 2021-01-15 13:50:20 > Step: 12600 Progress: 12.6% Elapsed: 1:50:18 temperature: no ada_p: No Discriminator_loss: 1.86096 Generator_loss: -0.540583
[INFO] 2021-01-15 13:51:07 > Step: 12700 Progress: 12.7% Elapsed: 1:51:04 temperature: no ada_p: No Discriminator_loss: 1.71886 Generator_loss: 1.06004
[INFO] 2021-01-15 13:51:53 > Step: 12800 Progress: 12.8% Elapsed: 1:51:51 temperature: no ada_p: No Discriminator_loss: 1.32544 Generator_loss: 1.31978
[INFO] 2021-01-15 13:52:41 > Step: 12900 Progress: 12.9% Elapsed: 1:52:39 temperature: no ada_p: No Discriminator_loss: 1.47866 Generator_loss: 0.892622
[INFO] 2021-01-15 13:53:28 > Step: 13000 Progress: 13.0% Elapsed: 1:53:26 temperature: no ada_p: No Discriminator_loss: 1.61391 Generator_loss: 0.949456
[INFO] 2021-01-15 13:54:14 > Step: 13100 Progress: 13.1% Elapsed: 1:54:12 temperature: no ada_p: No Discriminator_loss: 1.65913 Generator_loss: 0.584562
[INFO] 2021-01-15 13:55:01 > Step: 13200 Progress: 13.2% Elapsed: 1:54:59 temperature: no ada_p: No Discriminator_loss: 1.27338 Generator_loss: 1.17375
[INFO] 2021-01-15 13:55:49 > Step: 13300 Progress: 13.3% Elapsed: 1:55:47 temperature: no ada_p: No Discriminator_loss: 1.23353 Generator_loss: 1.10128
[INFO] 2021-01-15 13:56:36 > Step: 13400 Progress: 13.4% Elapsed: 1:56:34 temperature: no ada_p: No Discriminator_loss: 2.00711 Generator_loss: -0.37451
[INFO] 2021-01-15 13:57:23 > Step: 13500 Progress: 13.5% Elapsed: 1:57:21 temperature: no ada_p: No Discriminator_loss: 1.33695 Generator_loss: 1.27254
[INFO] 2021-01-15 13:58:09 > Step: 13600 Progress: 13.6% Elapsed: 1:58:07 temperature: no ada_p: No Discriminator_loss: 1.32431 Generator_loss: 0.713474
[INFO] 2021-01-15 13:58:57 > Step: 13700 Progress: 13.7% Elapsed: 1:58:55 temperature: no ada_p: No Discriminator_loss: 1.68797 Generator_loss: 1.00343
[INFO] 2021-01-15 13:59:44 > Step: 13800 Progress: 13.8% Elapsed: 1:59:42 temperature: no ada_p: No Discriminator_loss: 1.7635 Generator_loss: -0.50123
[INFO] 2021-01-15 14:00:31 > Step: 13900 Progress: 13.9% Elapsed: 2:00:29 temperature: no ada_p: No Discriminator_loss: 1.62386 Generator_loss: 1.34105
[INFO] 2021-01-15 14:01:18 > Step: 14000 Progress: 14.0% Elapsed: 2:01:15 temperature: no ada_p: No Discriminator_loss: 1.4815 Generator_loss: -1.13249
[INFO] 2021-01-15 14:01:18 > Start Evaluation (14000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:01:18 > Calculating FID Score....
[INFO] 2021-01-15 14:01:39 > Calculating Inception Score....
[INFO] 2021-01-15 14:01:52 > Calculate F_beta Score....
[INFO] 2021-01-15 14:02:52 > Calculate Accuracies....
[INFO] 2021-01-15 14:02:58 > Calculate Accuracies....
[INFO] 2021-01-15 14:03:10 > F_8 score (Step: 14000, Using valid images): 0.615190660522258
[INFO] 2021-01-15 14:03:10 > F_1/8 score (Step: 14000, Using valid images): 0.8470132903817973
[INFO] 2021-01-15 14:03:10 > FID score (Step: 14000, Using valid moments): 67.45534017627676
[INFO] 2021-01-15 14:03:10 > Inception score (Step: 14000, 10000 generated images): 7.250844478607178
[INFO] 2021-01-15 14:03:10 > Best FID score (Step: 14000, Using valid moments): 67.45534017627676
[INFO] 2021-01-15 14:03:13 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:04:00 > Step: 14100 Progress: 14.1% Elapsed: 2:03:58 temperature: no ada_p: No Discriminator_loss: 1.41033 Generator_loss: -0.476771
[INFO] 2021-01-15 14:04:47 > Step: 14200 Progress: 14.2% Elapsed: 2:04:45 temperature: no ada_p: No Discriminator_loss: 2.07364 Generator_loss: -0.487035
[INFO] 2021-01-15 14:05:34 > Step: 14300 Progress: 14.3% Elapsed: 2:05:32 temperature: no ada_p: No Discriminator_loss: 1.4967 Generator_loss: -0.967318
[INFO] 2021-01-15 14:06:21 > Step: 14400 Progress: 14.4% Elapsed: 2:06:19 temperature: no ada_p: No Discriminator_loss: 0.934608 Generator_loss: 0.415928
[INFO] 2021-01-15 14:07:08 > Step: 14500 Progress: 14.5% Elapsed: 2:07:06 temperature: no ada_p: No Discriminator_loss: 1.44199 Generator_loss: 1.08776
[INFO] 2021-01-15 14:07:55 > Step: 14600 Progress: 14.6% Elapsed: 2:07:53 temperature: no ada_p: No Discriminator_loss: 1.37297 Generator_loss: 0.548827
[INFO] 2021-01-15 14:08:42 > Step: 14700 Progress: 14.7% Elapsed: 2:08:40 temperature: no ada_p: No Discriminator_loss: 1.26479 Generator_loss: 1.54814
[INFO] 2021-01-15 14:09:29 > Step: 14800 Progress: 14.8% Elapsed: 2:09:27 temperature: no ada_p: No Discriminator_loss: 1.14838 Generator_loss: 0.90752
[INFO] 2021-01-15 14:10:16 > Step: 14900 Progress: 14.9% Elapsed: 2:10:14 temperature: no ada_p: No Discriminator_loss: 1.12246 Generator_loss: 0.554326
[INFO] 2021-01-15 14:11:03 > Step: 15000 Progress: 15.0% Elapsed: 2:11:01 temperature: no ada_p: No Discriminator_loss: 1.12145 Generator_loss: -0.939997
[INFO] 2021-01-15 14:11:50 > Step: 15100 Progress: 15.1% Elapsed: 2:11:48 temperature: no ada_p: No Discriminator_loss: 1.76337 Generator_loss: 0.575423
[INFO] 2021-01-15 14:12:37 > Step: 15200 Progress: 15.2% Elapsed: 2:12:35 temperature: no ada_p: No Discriminator_loss: 1.8762 Generator_loss: 0.392937
[INFO] 2021-01-15 14:13:24 > Step: 15300 Progress: 15.3% Elapsed: 2:13:22 temperature: no ada_p: No Discriminator_loss: 1.4237 Generator_loss: 0.64319
[INFO] 2021-01-15 14:14:11 > Step: 15400 Progress: 15.4% Elapsed: 2:14:09 temperature: no ada_p: No Discriminator_loss: 1.34412 Generator_loss: 0.179108
[INFO] 2021-01-15 14:14:58 > Step: 15500 Progress: 15.5% Elapsed: 2:14:56 temperature: no ada_p: No Discriminator_loss: 1.67843 Generator_loss: 1.5049
[INFO] 2021-01-15 14:15:45 > Step: 15600 Progress: 15.6% Elapsed: 2:15:43 temperature: no ada_p: No Discriminator_loss: 1.29975 Generator_loss: 0.0585907
[INFO] 2021-01-15 14:16:33 > Step: 15700 Progress: 15.7% Elapsed: 2:16:31 temperature: no ada_p: No Discriminator_loss: 1.17961 Generator_loss: 1.4658
[INFO] 2021-01-15 14:17:20 > Step: 15800 Progress: 15.8% Elapsed: 2:17:17 temperature: no ada_p: No Discriminator_loss: 1.36216 Generator_loss: 1.43016
[INFO] 2021-01-15 14:18:06 > Step: 15900 Progress: 15.9% Elapsed: 2:18:04 temperature: no ada_p: No Discriminator_loss: 1.61583 Generator_loss: 1.16892
[INFO] 2021-01-15 14:18:54 > Step: 16000 Progress: 16.0% Elapsed: 2:18:52 temperature: no ada_p: No Discriminator_loss: 1.28201 Generator_loss: -0.563999
[INFO] 2021-01-15 14:18:54 > Start Evaluation (16000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:18:54 > Calculating FID Score....
[INFO] 2021-01-15 14:19:15 > Calculating Inception Score....
[INFO] 2021-01-15 14:19:28 > Calculate F_beta Score....
[INFO] 2021-01-15 14:20:28 > Calculate Accuracies....
[INFO] 2021-01-15 14:20:33 > Calculate Accuracies....
[INFO] 2021-01-15 14:20:46 > F_8 score (Step: 16000, Using valid images): 0.634012837869324
[INFO] 2021-01-15 14:20:46 > F_1/8 score (Step: 16000, Using valid images): 0.8680554651990608
[INFO] 2021-01-15 14:20:46 > FID score (Step: 16000, Using valid moments): 62.371994033150486
[INFO] 2021-01-15 14:20:46 > Inception score (Step: 16000, 10000 generated images): 7.738290309906006
[INFO] 2021-01-15 14:20:46 > Best FID score (Step: 16000, Using valid moments): 62.371994033150486
[INFO] 2021-01-15 14:20:49 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:21:35 > Step: 16100 Progress: 16.1% Elapsed: 2:21:33 temperature: no ada_p: No Discriminator_loss: 1.33336 Generator_loss: 0.139378
[INFO] 2021-01-15 14:22:22 > Step: 16200 Progress: 16.2% Elapsed: 2:22:20 temperature: no ada_p: No Discriminator_loss: 1.44212 Generator_loss: 0.636122
[INFO] 2021-01-15 14:23:09 > Step: 16300 Progress: 16.3% Elapsed: 2:23:07 temperature: no ada_p: No Discriminator_loss: 0.991929 Generator_loss: 0.297388
[INFO] 2021-01-15 14:23:57 > Step: 16400 Progress: 16.4% Elapsed: 2:23:55 temperature: no ada_p: No Discriminator_loss: 1.28226 Generator_loss: 0.175519
[INFO] 2021-01-15 14:24:43 > Step: 16500 Progress: 16.5% Elapsed: 2:24:41 temperature: no ada_p: No Discriminator_loss: 1.18848 Generator_loss: -0.118101
[INFO] 2021-01-15 14:25:30 > Step: 16600 Progress: 16.6% Elapsed: 2:25:28 temperature: no ada_p: No Discriminator_loss: 1.08295 Generator_loss: 0.168769
[INFO] 2021-01-15 14:26:17 > Step: 16700 Progress: 16.7% Elapsed: 2:26:15 temperature: no ada_p: No Discriminator_loss: 1.36286 Generator_loss: -0.45756
[INFO] 2021-01-15 14:27:05 > Step: 16800 Progress: 16.8% Elapsed: 2:27:03 temperature: no ada_p: No Discriminator_loss: 1.51188 Generator_loss: -0.31035
[INFO] 2021-01-15 14:27:51 > Step: 16900 Progress: 16.9% Elapsed: 2:27:49 temperature: no ada_p: No Discriminator_loss: 1.0836 Generator_loss: 1.21367
[INFO] 2021-01-15 14:28:38 > Step: 17000 Progress: 17.0% Elapsed: 2:28:36 temperature: no ada_p: No Discriminator_loss: 1.19817 Generator_loss: -0.218321
[INFO] 2021-01-15 14:29:25 > Step: 17100 Progress: 17.1% Elapsed: 2:29:23 temperature: no ada_p: No Discriminator_loss: 1.20593 Generator_loss: -0.528231
[INFO] 2021-01-15 14:30:13 > Step: 17200 Progress: 17.2% Elapsed: 2:30:11 temperature: no ada_p: No Discriminator_loss: 1.26426 Generator_loss: -0.583751
[INFO] 2021-01-15 14:31:00 > Step: 17300 Progress: 17.3% Elapsed: 2:30:57 temperature: no ada_p: No Discriminator_loss: 1.20813 Generator_loss: 0.381265
[INFO] 2021-01-15 14:31:46 > Step: 17400 Progress: 17.4% Elapsed: 2:31:44 temperature: no ada_p: No Discriminator_loss: 1.40619 Generator_loss: 1.20843
[INFO] 2021-01-15 14:32:33 > Step: 17500 Progress: 17.5% Elapsed: 2:32:31 temperature: no ada_p: No Discriminator_loss: 1.12152 Generator_loss: 0.441889
[INFO] 2021-01-15 14:33:21 > Step: 17600 Progress: 17.6% Elapsed: 2:33:19 temperature: no ada_p: No Discriminator_loss: 1.27664 Generator_loss: 0.243312
[INFO] 2021-01-15 14:34:08 > Step: 17700 Progress: 17.7% Elapsed: 2:34:06 temperature: no ada_p: No Discriminator_loss: 1.10696 Generator_loss: 0.409377
[INFO] 2021-01-15 14:34:55 > Step: 17800 Progress: 17.8% Elapsed: 2:34:52 temperature: no ada_p: No Discriminator_loss: 1.16845 Generator_loss: 0.292268
[INFO] 2021-01-15 14:35:41 > Step: 17900 Progress: 17.9% Elapsed: 2:35:39 temperature: no ada_p: No Discriminator_loss: 1.11125 Generator_loss: 0.622242
[INFO] 2021-01-15 14:36:29 > Step: 18000 Progress: 18.0% Elapsed: 2:36:27 temperature: no ada_p: No Discriminator_loss: 1.31706 Generator_loss: 0.557668
[INFO] 2021-01-15 14:36:29 > Start Evaluation (18000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:36:29 > Calculating FID Score....
[INFO] 2021-01-15 14:36:50 > Calculating Inception Score....
[INFO] 2021-01-15 14:37:03 > Calculate F_beta Score....
[INFO] 2021-01-15 14:38:04 > Calculate Accuracies....
[INFO] 2021-01-15 14:38:09 > Calculate Accuracies....
[INFO] 2021-01-15 14:38:22 > F_8 score (Step: 18000, Using valid images): 0.6478980504477281
[INFO] 2021-01-15 14:38:22 > F_1/8 score (Step: 18000, Using valid images): 0.8637465466919457
[INFO] 2021-01-15 14:38:22 > FID score (Step: 18000, Using valid moments): 60.07603297627543
[INFO] 2021-01-15 14:38:22 > Inception score (Step: 18000, 10000 generated images): 7.793095588684082
[INFO] 2021-01-15 14:38:22 > Best FID score (Step: 18000, Using valid moments): 60.07603297627543
[INFO] 2021-01-15 14:38:24 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:39:11 > Step: 18100 Progress: 18.1% Elapsed: 2:39:08 temperature: no ada_p: No Discriminator_loss: 1.11926 Generator_loss: 0.50902
[INFO] 2021-01-15 14:39:57 > Step: 18200 Progress: 18.2% Elapsed: 2:39:55 temperature: no ada_p: No Discriminator_loss: 1.0855 Generator_loss: 0.341693
[INFO] 2021-01-15 14:40:44 > Step: 18300 Progress: 18.3% Elapsed: 2:40:42 temperature: no ada_p: No Discriminator_loss: 1.66271 Generator_loss: -0.0231754
[INFO] 2021-01-15 14:41:32 > Step: 18400 Progress: 18.4% Elapsed: 2:41:30 temperature: no ada_p: No Discriminator_loss: 1.48533 Generator_loss: 0.846608
[INFO] 2021-01-15 14:42:18 > Step: 18500 Progress: 18.5% Elapsed: 2:42:16 temperature: no ada_p: No Discriminator_loss: 1.22982 Generator_loss: 1.27928
[INFO] 2021-01-15 14:43:05 > Step: 18600 Progress: 18.6% Elapsed: 2:43:03 temperature: no ada_p: No Discriminator_loss: 1.43197 Generator_loss: 1.27293
[INFO] 2021-01-15 14:43:52 > Step: 18700 Progress: 18.7% Elapsed: 2:43:50 temperature: no ada_p: No Discriminator_loss: 1.47704 Generator_loss: 1.29534
[INFO] 2021-01-15 14:44:40 > Step: 18800 Progress: 18.8% Elapsed: 2:44:38 temperature: no ada_p: No Discriminator_loss: 1.02768 Generator_loss: 1.26169
[INFO] 2021-01-15 14:45:27 > Step: 18900 Progress: 18.9% Elapsed: 2:45:25 temperature: no ada_p: No Discriminator_loss: 1.11424 Generator_loss: 1.31355
[INFO] 2021-01-15 14:46:14 > Step: 19000 Progress: 19.0% Elapsed: 2:46:11 temperature: no ada_p: No Discriminator_loss: 1.20808 Generator_loss: 1.11435
[INFO] 2021-01-15 14:47:00 > Step: 19100 Progress: 19.1% Elapsed: 2:46:58 temperature: no ada_p: No Discriminator_loss: 1.435 Generator_loss: 1.22782
[INFO] 2021-01-15 14:47:48 > Step: 19200 Progress: 19.2% Elapsed: 2:47:46 temperature: no ada_p: No Discriminator_loss: 1.16157 Generator_loss: 1.5301
[INFO] 2021-01-15 14:48:35 > Step: 19300 Progress: 19.3% Elapsed: 2:48:33 temperature: no ada_p: No Discriminator_loss: 1.42583 Generator_loss: 1.22065
[INFO] 2021-01-15 14:49:22 > Step: 19400 Progress: 19.4% Elapsed: 2:49:20 temperature: no ada_p: No Discriminator_loss: 1.35133 Generator_loss: 1.19852
[INFO] 2021-01-15 14:50:08 > Step: 19500 Progress: 19.5% Elapsed: 2:50:06 temperature: no ada_p: No Discriminator_loss: 1.30677 Generator_loss: 1.57081
[INFO] 2021-01-15 14:50:56 > Step: 19600 Progress: 19.6% Elapsed: 2:50:54 temperature: no ada_p: No Discriminator_loss: 1.6902 Generator_loss: 1.22593
[INFO] 2021-01-15 14:51:43 > Step: 19700 Progress: 19.7% Elapsed: 2:51:41 temperature: no ada_p: No Discriminator_loss: 0.962706 Generator_loss: 1.46649
[INFO] 2021-01-15 14:52:30 > Step: 19800 Progress: 19.8% Elapsed: 2:52:28 temperature: no ada_p: No Discriminator_loss: 1.2759 Generator_loss: 1.34458
[INFO] 2021-01-15 14:53:17 > Step: 19900 Progress: 19.9% Elapsed: 2:53:15 temperature: no ada_p: No Discriminator_loss: 1.19119 Generator_loss: 1.45142
[INFO] 2021-01-15 14:54:04 > Step: 20000 Progress: 20.0% Elapsed: 2:54:02 temperature: no ada_p: No Discriminator_loss: 1.02664 Generator_loss: 1.48028
[INFO] 2021-01-15 14:54:04 > Start Evaluation (20000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:54:04 > Calculating FID Score....
[INFO] 2021-01-15 14:54:25 > Calculating Inception Score....
[INFO] 2021-01-15 14:54:38 > Calculate F_beta Score....
[INFO] 2021-01-15 14:55:38 > Calculate Accuracies....
[INFO] 2021-01-15 14:55:44 > Calculate Accuracies....
[INFO] 2021-01-15 14:55:57 > F_8 score (Step: 20000, Using valid images): 0.6532463369886209
[INFO] 2021-01-15 14:55:57 > F_1/8 score (Step: 20000, Using valid images): 0.8810810557357304
[INFO] 2021-01-15 14:55:57 > FID score (Step: 20000, Using valid moments): 59.017624981633105
[INFO] 2021-01-15 14:55:57 > Inception score (Step: 20000, 10000 generated images): 8.010380744934082
[INFO] 2021-01-15 14:55:57 > Best FID score (Step: 20000, Using valid moments): 59.017624981633105
[INFO] 2021-01-15 14:55:59 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 14:56:45 > Step: 20100 Progress: 20.1% Elapsed: 2:56:43 temperature: no ada_p: No Discriminator_loss: 1.11506 Generator_loss: 1.57227
[INFO] 2021-01-15 14:57:32 > Step: 20200 Progress: 20.2% Elapsed: 2:57:30 temperature: no ada_p: No Discriminator_loss: 0.951376 Generator_loss: 1.5271
[INFO] 2021-01-15 14:58:20 > Step: 20300 Progress: 20.3% Elapsed: 2:58:18 temperature: no ada_p: No Discriminator_loss: 1.05634 Generator_loss: 1.40178
[INFO] 2021-01-15 14:59:07 > Step: 20400 Progress: 20.4% Elapsed: 2:59:04 temperature: no ada_p: No Discriminator_loss: 1.45948 Generator_loss: 1.11569
[INFO] 2021-01-15 14:59:53 > Step: 20500 Progress: 20.5% Elapsed: 2:59:51 temperature: no ada_p: No Discriminator_loss: 1.46414 Generator_loss: 1.55789
[INFO] 2021-01-15 15:00:40 > Step: 20600 Progress: 20.6% Elapsed: 3:00:38 temperature: no ada_p: No Discriminator_loss: 1.39027 Generator_loss: 1.25163
[INFO] 2021-01-15 15:01:28 > Step: 20700 Progress: 20.7% Elapsed: 3:01:26 temperature: no ada_p: No Discriminator_loss: 1.21949 Generator_loss: 1.35495
[INFO] 2021-01-15 15:02:15 > Step: 20800 Progress: 20.8% Elapsed: 3:02:13 temperature: no ada_p: No Discriminator_loss: 1.28633 Generator_loss: 1.15921
[INFO] 2021-01-15 15:03:02 > Step: 20900 Progress: 20.9% Elapsed: 3:02:59 temperature: no ada_p: No Discriminator_loss: 0.845093 Generator_loss: 1.64658
[INFO] 2021-01-15 15:03:48 > Step: 21000 Progress: 21.0% Elapsed: 3:03:46 temperature: no ada_p: No Discriminator_loss: 0.917218 Generator_loss: -0.0753479
[INFO] 2021-01-15 15:04:36 > Step: 21100 Progress: 21.1% Elapsed: 3:04:34 temperature: no ada_p: No Discriminator_loss: 1.04046 Generator_loss: -0.222003
[INFO] 2021-01-15 15:05:23 > Step: 21200 Progress: 21.2% Elapsed: 3:05:21 temperature: no ada_p: No Discriminator_loss: 1.09067 Generator_loss: 0.0336179
[INFO] 2021-01-15 15:06:10 > Step: 21300 Progress: 21.3% Elapsed: 3:06:08 temperature: no ada_p: No Discriminator_loss: 0.922713 Generator_loss: 0.495199
[INFO] 2021-01-15 15:06:56 > Step: 21400 Progress: 21.4% Elapsed: 3:06:54 temperature: no ada_p: No Discriminator_loss: 1.06584 Generator_loss: 0.255487
[INFO] 2021-01-15 15:07:44 > Step: 21500 Progress: 21.5% Elapsed: 3:07:42 temperature: no ada_p: No Discriminator_loss: 0.866631 Generator_loss: 0.114958
[INFO] 2021-01-15 15:08:31 > Step: 21600 Progress: 21.6% Elapsed: 3:08:29 temperature: no ada_p: No Discriminator_loss: 0.980371 Generator_loss: 0.0386881
[INFO] 2021-01-15 15:09:18 > Step: 21700 Progress: 21.7% Elapsed: 3:09:16 temperature: no ada_p: No Discriminator_loss: 0.98975 Generator_loss: 0.229211
[INFO] 2021-01-15 15:10:05 > Step: 21800 Progress: 21.8% Elapsed: 3:10:02 temperature: no ada_p: No Discriminator_loss: 1.06471 Generator_loss: -0.160919
[INFO] 2021-01-15 15:10:52 > Step: 21900 Progress: 21.9% Elapsed: 3:10:50 temperature: no ada_p: No Discriminator_loss: 1.02978 Generator_loss: 0.0814952
[INFO] 2021-01-15 15:11:39 > Step: 22000 Progress: 22.0% Elapsed: 3:11:37 temperature: no ada_p: No Discriminator_loss: 1.05616 Generator_loss: 0.0407207
[INFO] 2021-01-15 15:11:39 > Start Evaluation (22000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:11:39 > Calculating FID Score....
[INFO] 2021-01-15 15:12:00 > Calculating Inception Score....
[INFO] 2021-01-15 15:12:13 > Calculate F_beta Score....
[INFO] 2021-01-15 15:13:13 > Calculate Accuracies....
[INFO] 2021-01-15 15:13:19 > Calculate Accuracies....
[INFO] 2021-01-15 15:13:31 > F_8 score (Step: 22000, Using valid images): 0.6416837838308516
[INFO] 2021-01-15 15:13:31 > F_1/8 score (Step: 22000, Using valid images): 0.8778250760640554
[INFO] 2021-01-15 15:13:32 > FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 15:13:32 > Inception score (Step: 22000, 10000 generated images): 8.047741889953613
[INFO] 2021-01-15 15:13:32 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 15:13:33 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:14:20 > Step: 22100 Progress: 22.1% Elapsed: 3:14:18 temperature: no ada_p: No Discriminator_loss: 0.959892 Generator_loss: 0.218371
[INFO] 2021-01-15 15:15:07 > Step: 22200 Progress: 22.2% Elapsed: 3:15:05 temperature: no ada_p: No Discriminator_loss: 0.949801 Generator_loss: 0.493356
[INFO] 2021-01-15 15:15:54 > Step: 22300 Progress: 22.3% Elapsed: 3:15:52 temperature: no ada_p: No Discriminator_loss: 1.11026 Generator_loss: 0.180972
[INFO] 2021-01-15 15:16:41 > Step: 22400 Progress: 22.4% Elapsed: 3:16:39 temperature: no ada_p: No Discriminator_loss: 1.16132 Generator_loss: -0.0547223
[INFO] 2021-01-15 15:17:28 > Step: 22500 Progress: 22.5% Elapsed: 3:17:26 temperature: no ada_p: No Discriminator_loss: 1.21982 Generator_loss: -0.100457
[INFO] 2021-01-15 15:18:15 > Step: 22600 Progress: 22.6% Elapsed: 3:18:13 temperature: no ada_p: No Discriminator_loss: 1.24805 Generator_loss: 0.141733
[INFO] 2021-01-15 15:19:02 > Step: 22700 Progress: 22.7% Elapsed: 3:19:00 temperature: no ada_p: No Discriminator_loss: 0.861438 Generator_loss: 0.140761
[INFO] 2021-01-15 15:19:49 > Step: 22800 Progress: 22.8% Elapsed: 3:19:47 temperature: no ada_p: No Discriminator_loss: 0.984118 Generator_loss: 0.234219
[INFO] 2021-01-15 15:20:36 > Step: 22900 Progress: 22.9% Elapsed: 3:20:34 temperature: no ada_p: No Discriminator_loss: 1.04901 Generator_loss: 0.490821
[INFO] 2021-01-15 15:21:23 > Step: 23000 Progress: 23.0% Elapsed: 3:21:21 temperature: no ada_p: No Discriminator_loss: 1.07178 Generator_loss: 0.201696
[INFO] 2021-01-15 15:22:10 > Step: 23100 Progress: 23.1% Elapsed: 3:22:08 temperature: no ada_p: No Discriminator_loss: 1.26387 Generator_loss: 0.142311
[INFO] 2021-01-15 15:22:57 > Step: 23200 Progress: 23.2% Elapsed: 3:22:55 temperature: no ada_p: No Discriminator_loss: 1.16376 Generator_loss: 0.244402
[INFO] 2021-01-15 15:23:44 > Step: 23300 Progress: 23.3% Elapsed: 3:23:42 temperature: no ada_p: No Discriminator_loss: 1.19648 Generator_loss: 0.166202
[INFO] 2021-01-15 15:24:31 > Step: 23400 Progress: 23.4% Elapsed: 3:24:29 temperature: no ada_p: No Discriminator_loss: 1.17769 Generator_loss: 0.00832517
[INFO] 2021-01-15 15:25:19 > Step: 23500 Progress: 23.5% Elapsed: 3:25:17 temperature: no ada_p: No Discriminator_loss: 1.08293 Generator_loss: 0.343991
[INFO] 2021-01-15 15:26:05 > Step: 23600 Progress: 23.6% Elapsed: 3:26:03 temperature: no ada_p: No Discriminator_loss: 1.14459 Generator_loss: 0.290084
[INFO] 2021-01-15 15:26:52 > Step: 23700 Progress: 23.7% Elapsed: 3:26:50 temperature: no ada_p: No Discriminator_loss: 0.996349 Generator_loss: 0.464195
[INFO] 2021-01-15 15:27:40 > Step: 23800 Progress: 23.8% Elapsed: 3:27:38 temperature: no ada_p: No Discriminator_loss: 1.07974 Generator_loss: 0.0859527
[INFO] 2021-01-15 15:28:27 > Step: 23900 Progress: 23.9% Elapsed: 3:28:25 temperature: no ada_p: No Discriminator_loss: 0.765867 Generator_loss: 0.493065
[INFO] 2021-01-15 15:29:14 > Step: 24000 Progress: 24.0% Elapsed: 3:29:11 temperature: no ada_p: No Discriminator_loss: 0.652323 Generator_loss: 0.479392
[INFO] 2021-01-15 15:29:14 > Start Evaluation (24000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:29:14 > Calculating FID Score....
[INFO] 2021-01-15 15:29:34 > Calculating Inception Score....
[INFO] 2021-01-15 15:29:47 > Calculate F_beta Score....
[INFO] 2021-01-15 15:30:47 > Calculate Accuracies....
[INFO] 2021-01-15 15:30:52 > Calculate Accuracies....
[INFO] 2021-01-15 15:31:05 > F_8 score (Step: 24000, Using valid images): 0.654819767271795
[INFO] 2021-01-15 15:31:05 > F_1/8 score (Step: 24000, Using valid images): 0.8766515160028323
[INFO] 2021-01-15 15:31:05 > FID score (Step: 24000, Using valid moments): 59.170633064054186
[INFO] 2021-01-15 15:31:05 > Inception score (Step: 24000, 10000 generated images): 7.9715399742126465
[INFO] 2021-01-15 15:31:05 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 15:31:06 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:31:53 > Step: 24100 Progress: 24.1% Elapsed: 3:31:51 temperature: no ada_p: No Discriminator_loss: 0.984284 Generator_loss: 0.0689503
[INFO] 2021-01-15 15:32:40 > Step: 24200 Progress: 24.2% Elapsed: 3:32:38 temperature: no ada_p: No Discriminator_loss: 0.808524 Generator_loss: -0.193403
[INFO] 2021-01-15 15:33:27 > Step: 24300 Progress: 24.3% Elapsed: 3:33:25 temperature: no ada_p: No Discriminator_loss: 1.04172 Generator_loss: 0.260712
[INFO] 2021-01-15 15:34:14 > Step: 24400 Progress: 24.4% Elapsed: 3:34:12 temperature: no ada_p: No Discriminator_loss: 0.856614 Generator_loss: 0.569352
[INFO] 2021-01-15 15:35:01 > Step: 24500 Progress: 24.5% Elapsed: 3:34:59 temperature: no ada_p: No Discriminator_loss: 0.957498 Generator_loss: 0.0956282
[INFO] 2021-01-15 15:35:48 > Step: 24600 Progress: 24.6% Elapsed: 3:35:46 temperature: no ada_p: No Discriminator_loss: 0.89478 Generator_loss: 0.452696
[INFO] 2021-01-15 15:36:35 > Step: 24700 Progress: 24.7% Elapsed: 3:36:33 temperature: no ada_p: No Discriminator_loss: 1.041 Generator_loss: 0.243092
[INFO] 2021-01-15 15:37:22 > Step: 24800 Progress: 24.8% Elapsed: 3:37:20 temperature: no ada_p: No Discriminator_loss: 0.883067 Generator_loss: 0.215963
[INFO] 2021-01-15 15:38:09 > Step: 24900 Progress: 24.9% Elapsed: 3:38:07 temperature: no ada_p: No Discriminator_loss: 0.92593 Generator_loss: 0.309429
[INFO] 2021-01-15 15:38:57 > Step: 25000 Progress: 25.0% Elapsed: 3:38:55 temperature: no ada_p: No Discriminator_loss: 1.08358 Generator_loss: 0.230056
[INFO] 2021-01-15 15:39:43 > Step: 25100 Progress: 25.1% Elapsed: 3:39:41 temperature: no ada_p: No Discriminator_loss: 1.0255 Generator_loss: 0.30177
[INFO] 2021-01-15 15:40:30 > Step: 25200 Progress: 25.2% Elapsed: 3:40:28 temperature: no ada_p: No Discriminator_loss: 1.01124 Generator_loss: 0.495525
[INFO] 2021-01-15 15:41:17 > Step: 25300 Progress: 25.3% Elapsed: 3:41:15 temperature: no ada_p: No Discriminator_loss: 0.787591 Generator_loss: 0.190907
[INFO] 2021-01-15 15:42:05 > Step: 25400 Progress: 25.4% Elapsed: 3:42:03 temperature: no ada_p: No Discriminator_loss: 0.945308 Generator_loss: 0.338725
[INFO] 2021-01-15 15:42:52 > Step: 25500 Progress: 25.5% Elapsed: 3:42:49 temperature: no ada_p: No Discriminator_loss: 1.00541 Generator_loss: 0.480627
[INFO] 2021-01-15 15:43:38 > Step: 25600 Progress: 25.6% Elapsed: 3:43:36 temperature: no ada_p: No Discriminator_loss: 0.90624 Generator_loss: 0.316717
[INFO] 2021-01-15 15:44:25 > Step: 25700 Progress: 25.7% Elapsed: 3:44:23 temperature: no ada_p: No Discriminator_loss: 0.788309 Generator_loss: 0.475027
[INFO] 2021-01-15 15:45:13 > Step: 25800 Progress: 25.8% Elapsed: 3:45:11 temperature: no ada_p: No Discriminator_loss: 0.779756 Generator_loss: 0.352784
[INFO] 2021-01-15 15:46:00 > Step: 25900 Progress: 25.9% Elapsed: 3:45:58 temperature: no ada_p: No Discriminator_loss: 0.839712 Generator_loss: 0.315608
[INFO] 2021-01-15 15:46:47 > Step: 26000 Progress: 26.0% Elapsed: 3:46:44 temperature: no ada_p: No Discriminator_loss: 0.890522 Generator_loss: 0.371779
[INFO] 2021-01-15 15:46:47 > Start Evaluation (26000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:46:47 > Calculating FID Score....
[INFO] 2021-01-15 15:47:08 > Calculating Inception Score....
[INFO] 2021-01-15 15:47:21 > Calculate F_beta Score....
[INFO] 2021-01-15 15:48:21 > Calculate Accuracies....
[INFO] 2021-01-15 15:48:26 > Calculate Accuracies....
[INFO] 2021-01-15 15:48:38 > F_8 score (Step: 26000, Using valid images): 0.670626012330479
[INFO] 2021-01-15 15:48:38 > F_1/8 score (Step: 26000, Using valid images): 0.8393165581502954
[INFO] 2021-01-15 15:48:38 > FID score (Step: 26000, Using valid moments): 60.0592742830554
[INFO] 2021-01-15 15:48:38 > Inception score (Step: 26000, 10000 generated images): 7.866511344909668
[INFO] 2021-01-15 15:48:38 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 15:48:39 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 15:49:26 > Step: 26100 Progress: 26.1% Elapsed: 3:49:24 temperature: no ada_p: No Discriminator_loss: 0.978477 Generator_loss: 0.12854
[INFO] 2021-01-15 15:50:13 > Step: 26200 Progress: 26.2% Elapsed: 3:50:11 temperature: no ada_p: No Discriminator_loss: 0.736667 Generator_loss: 0.255304
[INFO] 2021-01-15 15:51:00 > Step: 26300 Progress: 26.3% Elapsed: 3:50:58 temperature: no ada_p: No Discriminator_loss: 0.900158 Generator_loss: 0.407467
[INFO] 2021-01-15 15:51:47 > Step: 26400 Progress: 26.4% Elapsed: 3:51:45 temperature: no ada_p: No Discriminator_loss: 0.76165 Generator_loss: 0.244297
[INFO] 2021-01-15 15:52:34 > Step: 26500 Progress: 26.5% Elapsed: 3:52:32 temperature: no ada_p: No Discriminator_loss: 0.827144 Generator_loss: 0.590044
[INFO] 2021-01-15 15:53:21 > Step: 26600 Progress: 26.6% Elapsed: 3:53:19 temperature: no ada_p: No Discriminator_loss: 1.07721 Generator_loss: 0.512354
[INFO] 2021-01-15 15:54:08 > Step: 26700 Progress: 26.7% Elapsed: 3:54:06 temperature: no ada_p: No Discriminator_loss: 1.20414 Generator_loss: 0.319199
[INFO] 2021-01-15 15:54:55 > Step: 26800 Progress: 26.8% Elapsed: 3:54:53 temperature: no ada_p: No Discriminator_loss: 1.06769 Generator_loss: 0.321363
[INFO] 2021-01-15 15:55:42 > Step: 26900 Progress: 26.9% Elapsed: 3:55:40 temperature: no ada_p: No Discriminator_loss: 0.879896 Generator_loss: 0.430921
[INFO] 2021-01-15 15:56:29 > Step: 27000 Progress: 27.0% Elapsed: 3:56:27 temperature: no ada_p: No Discriminator_loss: 0.786612 Generator_loss: 0.487712
[INFO] 2021-01-15 15:57:16 > Step: 27100 Progress: 27.1% Elapsed: 3:57:14 temperature: no ada_p: No Discriminator_loss: 0.981836 Generator_loss: 0.301133
[INFO] 2021-01-15 15:58:03 > Step: 27200 Progress: 27.2% Elapsed: 3:58:01 temperature: no ada_p: No Discriminator_loss: 1.11775 Generator_loss: 0.484081
[INFO] 2021-01-15 15:58:50 > Step: 27300 Progress: 27.3% Elapsed: 3:58:48 temperature: no ada_p: No Discriminator_loss: 0.723891 Generator_loss: 0.705044
[INFO] 2021-01-15 15:59:38 > Step: 27400 Progress: 27.4% Elapsed: 3:59:36 temperature: no ada_p: No Discriminator_loss: 0.861033 Generator_loss: 0.221044
[INFO] 2021-01-15 16:00:24 > Step: 27500 Progress: 27.5% Elapsed: 4:00:22 temperature: no ada_p: No Discriminator_loss: 1.12242 Generator_loss: 0.347706
[INFO] 2021-01-15 16:01:11 > Step: 27600 Progress: 27.6% Elapsed: 4:01:09 temperature: no ada_p: No Discriminator_loss: 0.805651 Generator_loss: 0.338457
[INFO] 2021-01-15 16:01:59 > Step: 27700 Progress: 27.7% Elapsed: 4:01:57 temperature: no ada_p: No Discriminator_loss: 0.747821 Generator_loss: 0.140142
[INFO] 2021-01-15 16:02:46 > Step: 27800 Progress: 27.8% Elapsed: 4:02:44 temperature: no ada_p: No Discriminator_loss: 0.685792 Generator_loss: 0.446932
[INFO] 2021-01-15 16:03:33 > Step: 27900 Progress: 27.9% Elapsed: 4:03:31 temperature: no ada_p: No Discriminator_loss: 0.673096 Generator_loss: 0.423345
[INFO] 2021-01-15 16:04:19 > Step: 28000 Progress: 28.0% Elapsed: 4:04:17 temperature: no ada_p: No Discriminator_loss: 0.718305 Generator_loss: 0.222068
[INFO] 2021-01-15 16:04:19 > Start Evaluation (28000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:04:19 > Calculating FID Score....
[INFO] 2021-01-15 16:04:40 > Calculating Inception Score....
[INFO] 2021-01-15 16:04:53 > Calculate F_beta Score....
[INFO] 2021-01-15 16:05:53 > Calculate Accuracies....
[INFO] 2021-01-15 16:05:58 > Calculate Accuracies....
[INFO] 2021-01-15 16:06:11 > F_8 score (Step: 28000, Using valid images): 0.6494943094541199
[INFO] 2021-01-15 16:06:11 > F_1/8 score (Step: 28000, Using valid images): 0.8513631555706547
[INFO] 2021-01-15 16:06:11 > FID score (Step: 28000, Using valid moments): 58.49244108482873
[INFO] 2021-01-15 16:06:11 > Inception score (Step: 28000, 10000 generated images): 8.09062385559082
[INFO] 2021-01-15 16:06:11 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 16:06:12 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:06:59 > Step: 28100 Progress: 28.1% Elapsed: 4:06:57 temperature: no ada_p: No Discriminator_loss: 0.993789 Generator_loss: 0.407951
[INFO] 2021-01-15 16:07:46 > Step: 28200 Progress: 28.2% Elapsed: 4:07:44 temperature: no ada_p: No Discriminator_loss: 0.787445 Generator_loss: 0.469279
[INFO] 2021-01-15 16:08:33 > Step: 28300 Progress: 28.3% Elapsed: 4:08:31 temperature: no ada_p: No Discriminator_loss: 0.994005 Generator_loss: 0.537385
[INFO] 2021-01-15 16:09:20 > Step: 28400 Progress: 28.4% Elapsed: 4:09:18 temperature: no ada_p: No Discriminator_loss: 1.0522 Generator_loss: 0.456973
[INFO] 2021-01-15 16:10:07 > Step: 28500 Progress: 28.5% Elapsed: 4:10:05 temperature: no ada_p: No Discriminator_loss: 1.01541 Generator_loss: 0.537171
[INFO] 2021-01-15 16:10:54 > Step: 28600 Progress: 28.6% Elapsed: 4:10:52 temperature: no ada_p: No Discriminator_loss: 0.889753 Generator_loss: 0.465037
[INFO] 2021-01-15 16:11:41 > Step: 28700 Progress: 28.7% Elapsed: 4:11:39 temperature: no ada_p: No Discriminator_loss: 1.34231 Generator_loss: 0.387894
[INFO] 2021-01-15 16:12:28 > Step: 28800 Progress: 28.8% Elapsed: 4:12:26 temperature: no ada_p: No Discriminator_loss: 0.767186 Generator_loss: 0.302616
[INFO] 2021-01-15 16:13:15 > Step: 28900 Progress: 28.9% Elapsed: 4:13:13 temperature: no ada_p: No Discriminator_loss: 0.69455 Generator_loss: 0.434638
[INFO] 2021-01-15 16:14:02 > Step: 29000 Progress: 29.0% Elapsed: 4:14:00 temperature: no ada_p: No Discriminator_loss: 0.940887 Generator_loss: 0.441653
[INFO] 2021-01-15 16:14:49 > Step: 29100 Progress: 29.1% Elapsed: 4:14:47 temperature: no ada_p: No Discriminator_loss: 0.939645 Generator_loss: 0.541118
[INFO] 2021-01-15 16:15:36 > Step: 29200 Progress: 29.2% Elapsed: 4:15:34 temperature: no ada_p: No Discriminator_loss: 0.618577 Generator_loss: 0.523108
[INFO] 2021-01-15 16:16:23 > Step: 29300 Progress: 29.3% Elapsed: 4:16:21 temperature: no ada_p: No Discriminator_loss: 0.850392 Generator_loss: 0.283079
[INFO] 2021-01-15 16:17:10 > Step: 29400 Progress: 29.4% Elapsed: 4:17:08 temperature: no ada_p: No Discriminator_loss: 0.716628 Generator_loss: 0.0470098
[INFO] 2021-01-15 16:17:57 > Step: 29500 Progress: 29.5% Elapsed: 4:17:55 temperature: no ada_p: No Discriminator_loss: 0.9334 Generator_loss: 0.182237
[INFO] 2021-01-15 16:18:44 > Step: 29600 Progress: 29.6% Elapsed: 4:18:42 temperature: no ada_p: No Discriminator_loss: 0.774668 Generator_loss: 0.52898
[INFO] 2021-01-15 16:19:31 > Step: 29700 Progress: 29.7% Elapsed: 4:19:29 temperature: no ada_p: No Discriminator_loss: 0.737942 Generator_loss: 0.392451
[INFO] 2021-01-15 16:20:18 > Step: 29800 Progress: 29.8% Elapsed: 4:20:16 temperature: no ada_p: No Discriminator_loss: 1.04666 Generator_loss: 0.302541
[INFO] 2021-01-15 16:21:05 > Step: 29900 Progress: 29.9% Elapsed: 4:21:03 temperature: no ada_p: No Discriminator_loss: 0.845294 Generator_loss: 0.535593
[INFO] 2021-01-15 16:21:52 > Step: 30000 Progress: 30.0% Elapsed: 4:21:50 temperature: no ada_p: No Discriminator_loss: 0.957079 Generator_loss: 0.337932
[INFO] 2021-01-15 16:21:52 > Start Evaluation (30000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:21:52 > Calculating FID Score....
[INFO] 2021-01-15 16:22:13 > Calculating Inception Score....
[INFO] 2021-01-15 16:22:26 > Calculate F_beta Score....
[INFO] 2021-01-15 16:23:28 > Calculate Accuracies....
[INFO] 2021-01-15 16:23:34 > Calculate Accuracies....
[INFO] 2021-01-15 16:23:47 > F_8 score (Step: 30000, Using valid images): 0.664641197226527
[INFO] 2021-01-15 16:23:47 > F_1/8 score (Step: 30000, Using valid images): 0.857362210510086
[INFO] 2021-01-15 16:23:47 > FID score (Step: 30000, Using valid moments): 60.38237852555858
[INFO] 2021-01-15 16:23:47 > Inception score (Step: 30000, 10000 generated images): 8.016692161560059
[INFO] 2021-01-15 16:23:47 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 16:23:48 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:24:35 > Step: 30100 Progress: 30.1% Elapsed: 4:24:33 temperature: no ada_p: No Discriminator_loss: 0.761068 Generator_loss: 0.516252
[INFO] 2021-01-15 16:25:22 > Step: 30200 Progress: 30.2% Elapsed: 4:25:20 temperature: no ada_p: No Discriminator_loss: 0.892575 Generator_loss: 0.490971
[INFO] 2021-01-15 16:26:09 > Step: 30300 Progress: 30.3% Elapsed: 4:26:07 temperature: no ada_p: No Discriminator_loss: 1.00476 Generator_loss: 0.454584
[INFO] 2021-01-15 16:26:56 > Step: 30400 Progress: 30.4% Elapsed: 4:26:54 temperature: no ada_p: No Discriminator_loss: 0.821514 Generator_loss: 0.355182
[INFO] 2021-01-15 16:27:43 > Step: 30500 Progress: 30.5% Elapsed: 4:27:41 temperature: no ada_p: No Discriminator_loss: 1.02048 Generator_loss: 0.357732
[INFO] 2021-01-15 16:28:30 > Step: 30600 Progress: 30.6% Elapsed: 4:28:28 temperature: no ada_p: No Discriminator_loss: 1.09553 Generator_loss: 0.540157
[INFO] 2021-01-15 16:29:17 > Step: 30700 Progress: 30.7% Elapsed: 4:29:15 temperature: no ada_p: No Discriminator_loss: 0.957363 Generator_loss: 0.303422
[INFO] 2021-01-15 16:30:04 > Step: 30800 Progress: 30.8% Elapsed: 4:30:02 temperature: no ada_p: No Discriminator_loss: 0.60258 Generator_loss: 0.58182
[INFO] 2021-01-15 16:30:51 > Step: 30900 Progress: 30.9% Elapsed: 4:30:49 temperature: no ada_p: No Discriminator_loss: 1.08632 Generator_loss: 0.332831
[INFO] 2021-01-15 16:31:38 > Step: 31000 Progress: 31.0% Elapsed: 4:31:36 temperature: no ada_p: No Discriminator_loss: 0.883766 Generator_loss: 0.351463
[INFO] 2021-01-15 16:32:25 > Step: 31100 Progress: 31.1% Elapsed: 4:32:23 temperature: no ada_p: No Discriminator_loss: 1.2811 Generator_loss: 0.578195
[INFO] 2021-01-15 16:33:12 > Step: 31200 Progress: 31.2% Elapsed: 4:33:10 temperature: no ada_p: No Discriminator_loss: 0.901006 Generator_loss: 0.371083
[INFO] 2021-01-15 16:34:00 > Step: 31300 Progress: 31.3% Elapsed: 4:33:58 temperature: no ada_p: No Discriminator_loss: 1.07928 Generator_loss: 0.552298
[INFO] 2021-01-15 16:34:47 > Step: 31400 Progress: 31.4% Elapsed: 4:34:44 temperature: no ada_p: No Discriminator_loss: 1.20337 Generator_loss: 0.580431
[INFO] 2021-01-15 16:35:33 > Step: 31500 Progress: 31.5% Elapsed: 4:35:31 temperature: no ada_p: No Discriminator_loss: 0.907009 Generator_loss: 0.406999
[INFO] 2021-01-15 16:36:21 > Step: 31600 Progress: 31.6% Elapsed: 4:36:19 temperature: no ada_p: No Discriminator_loss: 0.844996 Generator_loss: 1.29963
[INFO] 2021-01-15 16:37:08 > Step: 31700 Progress: 31.7% Elapsed: 4:37:06 temperature: no ada_p: No Discriminator_loss: 0.915291 Generator_loss: 1.40923
[INFO] 2021-01-15 16:37:55 > Step: 31800 Progress: 31.8% Elapsed: 4:37:52 temperature: no ada_p: No Discriminator_loss: 0.827193 Generator_loss: 1.63455
[INFO] 2021-01-15 16:38:41 > Step: 31900 Progress: 31.9% Elapsed: 4:38:39 temperature: no ada_p: No Discriminator_loss: 0.620602 Generator_loss: 1.64819
[INFO] 2021-01-15 16:39:29 > Step: 32000 Progress: 32.0% Elapsed: 4:39:27 temperature: no ada_p: No Discriminator_loss: 0.929459 Generator_loss: 1.6742
[INFO] 2021-01-15 16:39:29 > Start Evaluation (32000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:39:29 > Calculating FID Score....
[INFO] 2021-01-15 16:39:50 > Calculating Inception Score....
[INFO] 2021-01-15 16:40:03 > Calculate F_beta Score....
[INFO] 2021-01-15 16:41:03 > Calculate Accuracies....
[INFO] 2021-01-15 16:41:08 > Calculate Accuracies....
[INFO] 2021-01-15 16:41:21 > F_8 score (Step: 32000, Using valid images): 0.63935288349057
[INFO] 2021-01-15 16:41:21 > F_1/8 score (Step: 32000, Using valid images): 0.8678352563552528
[INFO] 2021-01-15 16:41:21 > FID score (Step: 32000, Using valid moments): 58.43233649876669
[INFO] 2021-01-15 16:41:21 > Inception score (Step: 32000, 10000 generated images): 8.308131217956543
[INFO] 2021-01-15 16:41:21 > Best FID score (Step: 22000, Using valid moments): 58.31228073923211
[INFO] 2021-01-15 16:41:22 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:42:09 > Step: 32100 Progress: 32.1% Elapsed: 4:42:07 temperature: no ada_p: No Discriminator_loss: 1.10797 Generator_loss: 1.53912
[INFO] 2021-01-15 16:42:56 > Step: 32200 Progress: 32.2% Elapsed: 4:42:54 temperature: no ada_p: No Discriminator_loss: 0.913598 Generator_loss: 1.59834
[INFO] 2021-01-15 16:43:43 > Step: 32300 Progress: 32.3% Elapsed: 4:43:41 temperature: no ada_p: No Discriminator_loss: 0.995497 Generator_loss: 1.46068
[INFO] 2021-01-15 16:44:30 > Step: 32400 Progress: 32.4% Elapsed: 4:44:28 temperature: no ada_p: No Discriminator_loss: 0.827473 Generator_loss: 1.84644
[INFO] 2021-01-15 16:45:17 > Step: 32500 Progress: 32.5% Elapsed: 4:45:15 temperature: no ada_p: No Discriminator_loss: 0.967747 Generator_loss: 1.83312
[INFO] 2021-01-15 16:46:04 > Step: 32600 Progress: 32.6% Elapsed: 4:46:02 temperature: no ada_p: No Discriminator_loss: 0.754667 Generator_loss: 1.707
[INFO] 2021-01-15 16:46:51 > Step: 32700 Progress: 32.7% Elapsed: 4:46:49 temperature: no ada_p: No Discriminator_loss: 0.771633 Generator_loss: 1.97833
[INFO] 2021-01-15 16:47:38 > Step: 32800 Progress: 32.8% Elapsed: 4:47:36 temperature: no ada_p: No Discriminator_loss: 0.745049 Generator_loss: 1.60794
[INFO] 2021-01-15 16:48:25 > Step: 32900 Progress: 32.9% Elapsed: 4:48:23 temperature: no ada_p: No Discriminator_loss: 0.748015 Generator_loss: 1.73012
[INFO] 2021-01-15 16:49:12 > Step: 33000 Progress: 33.0% Elapsed: 4:49:10 temperature: no ada_p: No Discriminator_loss: 0.827239 Generator_loss: 1.87385
[INFO] 2021-01-15 16:49:59 > Step: 33100 Progress: 33.1% Elapsed: 4:49:57 temperature: no ada_p: No Discriminator_loss: 0.794428 Generator_loss: 1.79056
[INFO] 2021-01-15 16:50:46 > Step: 33200 Progress: 33.2% Elapsed: 4:50:44 temperature: no ada_p: No Discriminator_loss: 0.621095 Generator_loss: 1.69272
[INFO] 2021-01-15 16:51:33 > Step: 33300 Progress: 33.3% Elapsed: 4:51:31 temperature: no ada_p: No Discriminator_loss: 0.716861 Generator_loss: 1.5857
[INFO] 2021-01-15 16:52:20 > Step: 33400 Progress: 33.4% Elapsed: 4:52:18 temperature: no ada_p: No Discriminator_loss: 0.725972 Generator_loss: 1.81481
[INFO] 2021-01-15 16:53:07 > Step: 33500 Progress: 33.5% Elapsed: 4:53:05 temperature: no ada_p: No Discriminator_loss: 0.521157 Generator_loss: 1.81947
[INFO] 2021-01-15 16:53:54 > Step: 33600 Progress: 33.6% Elapsed: 4:53:52 temperature: no ada_p: No Discriminator_loss: 0.785769 Generator_loss: 1.65088
[INFO] 2021-01-15 16:54:41 > Step: 33700 Progress: 33.7% Elapsed: 4:54:39 temperature: no ada_p: No Discriminator_loss: 0.793913 Generator_loss: 1.79068
[INFO] 2021-01-15 16:55:28 > Step: 33800 Progress: 33.8% Elapsed: 4:55:26 temperature: no ada_p: No Discriminator_loss: 0.966085 Generator_loss: 1.57277
[INFO] 2021-01-15 16:56:15 > Step: 33900 Progress: 33.9% Elapsed: 4:56:13 temperature: no ada_p: No Discriminator_loss: 0.811494 Generator_loss: 1.78376
[INFO] 2021-01-15 16:57:02 > Step: 34000 Progress: 34.0% Elapsed: 4:57:00 temperature: no ada_p: No Discriminator_loss: 0.844826 Generator_loss: 1.76092
[INFO] 2021-01-15 16:57:02 > Start Evaluation (34000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:57:02 > Calculating FID Score....
[INFO] 2021-01-15 16:57:24 > Calculating Inception Score....
[INFO] 2021-01-15 16:57:36 > Calculate F_beta Score....
[INFO] 2021-01-15 16:58:35 > Calculate Accuracies....
[INFO] 2021-01-15 16:58:40 > Calculate Accuracies....
[INFO] 2021-01-15 16:58:52 > F_8 score (Step: 34000, Using valid images): 0.6508431957421694
[INFO] 2021-01-15 16:58:52 > F_1/8 score (Step: 34000, Using valid images): 0.8783141300556964
[INFO] 2021-01-15 16:58:52 > FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 16:58:52 > Inception score (Step: 34000, 10000 generated images): 8.51093864440918
[INFO] 2021-01-15 16:58:52 > Best FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 16:58:54 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 16:59:41 > Step: 34100 Progress: 34.1% Elapsed: 4:59:39 temperature: no ada_p: No Discriminator_loss: 0.965838 Generator_loss: 1.69366
[INFO] 2021-01-15 17:00:28 > Step: 34200 Progress: 34.2% Elapsed: 5:00:26 temperature: no ada_p: No Discriminator_loss: 0.695416 Generator_loss: 1.72846
[INFO] 2021-01-15 17:01:15 > Step: 34300 Progress: 34.3% Elapsed: 5:01:13 temperature: no ada_p: No Discriminator_loss: 0.687345 Generator_loss: 1.52439
[INFO] 2021-01-15 17:02:02 > Step: 34400 Progress: 34.4% Elapsed: 5:02:00 temperature: no ada_p: No Discriminator_loss: 0.777246 Generator_loss: 1.76855
[INFO] 2021-01-15 17:02:49 > Step: 34500 Progress: 34.5% Elapsed: 5:02:47 temperature: no ada_p: No Discriminator_loss: 0.748815 Generator_loss: 1.63842
[INFO] 2021-01-15 17:03:36 > Step: 34600 Progress: 34.6% Elapsed: 5:03:34 temperature: no ada_p: No Discriminator_loss: 0.962814 Generator_loss: 1.56549
[INFO] 2021-01-15 17:04:23 > Step: 34700 Progress: 34.7% Elapsed: 5:04:21 temperature: no ada_p: No Discriminator_loss: 0.832121 Generator_loss: 1.76338
[INFO] 2021-01-15 17:05:10 > Step: 34800 Progress: 34.8% Elapsed: 5:05:08 temperature: no ada_p: No Discriminator_loss: 0.756953 Generator_loss: 1.73079
[INFO] 2021-01-15 17:05:57 > Step: 34900 Progress: 34.9% Elapsed: 5:05:55 temperature: no ada_p: No Discriminator_loss: 0.755973 Generator_loss: 1.70147
[INFO] 2021-01-15 17:06:44 > Step: 35000 Progress: 35.0% Elapsed: 5:06:42 temperature: no ada_p: No Discriminator_loss: 0.705042 Generator_loss: 1.60011
[INFO] 2021-01-15 17:07:31 > Step: 35100 Progress: 35.1% Elapsed: 5:07:29 temperature: no ada_p: No Discriminator_loss: 0.645403 Generator_loss: 1.62859
[INFO] 2021-01-15 17:08:19 > Step: 35200 Progress: 35.2% Elapsed: 5:08:16 temperature: no ada_p: No Discriminator_loss: 0.808308 Generator_loss: 1.7632
[INFO] 2021-01-15 17:09:05 > Step: 35300 Progress: 35.3% Elapsed: 5:09:03 temperature: no ada_p: No Discriminator_loss: 0.801969 Generator_loss: 1.74521
[INFO] 2021-01-15 17:09:52 > Step: 35400 Progress: 35.4% Elapsed: 5:09:50 temperature: no ada_p: No Discriminator_loss: 0.780125 Generator_loss: 1.67198
[INFO] 2021-01-15 17:10:40 > Step: 35500 Progress: 35.5% Elapsed: 5:10:38 temperature: no ada_p: No Discriminator_loss: 1.05328 Generator_loss: 1.65697
[INFO] 2021-01-15 17:11:27 > Step: 35600 Progress: 35.6% Elapsed: 5:11:25 temperature: no ada_p: No Discriminator_loss: 0.688908 Generator_loss: 1.8646
[INFO] 2021-01-15 17:12:14 > Step: 35700 Progress: 35.7% Elapsed: 5:12:11 temperature: no ada_p: No Discriminator_loss: 0.696314 Generator_loss: 0.844438
[INFO] 2021-01-15 17:13:00 > Step: 35800 Progress: 35.8% Elapsed: 5:12:58 temperature: no ada_p: No Discriminator_loss: 0.626874 Generator_loss: 0.36782
[INFO] 2021-01-15 17:13:48 > Step: 35900 Progress: 35.9% Elapsed: 5:13:46 temperature: no ada_p: No Discriminator_loss: 0.658381 Generator_loss: 0.600682
[INFO] 2021-01-15 17:14:35 > Step: 36000 Progress: 36.0% Elapsed: 5:14:33 temperature: no ada_p: No Discriminator_loss: 0.955891 Generator_loss: 0.765788
[INFO] 2021-01-15 17:14:35 > Start Evaluation (36000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:14:35 > Calculating FID Score....
[INFO] 2021-01-15 17:14:56 > Calculating Inception Score....
[INFO] 2021-01-15 17:15:09 > Calculate F_beta Score....
[INFO] 2021-01-15 17:16:10 > Calculate Accuracies....
[INFO] 2021-01-15 17:16:15 > Calculate Accuracies....
[INFO] 2021-01-15 17:16:28 > F_8 score (Step: 36000, Using valid images): 0.6537174692636502
[INFO] 2021-01-15 17:16:28 > F_1/8 score (Step: 36000, Using valid images): 0.8844697017315667
[INFO] 2021-01-15 17:16:28 > FID score (Step: 36000, Using valid moments): 56.909787975388554
[INFO] 2021-01-15 17:16:28 > Inception score (Step: 36000, 10000 generated images): 8.510191917419434
[INFO] 2021-01-15 17:16:28 > Best FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 17:16:29 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:17:16 > Step: 36100 Progress: 36.1% Elapsed: 5:17:14 temperature: no ada_p: No Discriminator_loss: 0.797296 Generator_loss: 0.675734
[INFO] 2021-01-15 17:18:03 > Step: 36200 Progress: 36.2% Elapsed: 5:18:01 temperature: no ada_p: No Discriminator_loss: 0.678636 Generator_loss: 0.696761
[INFO] 2021-01-15 17:18:50 > Step: 36300 Progress: 36.3% Elapsed: 5:18:48 temperature: no ada_p: No Discriminator_loss: 0.584129 Generator_loss: 0.678697
[INFO] 2021-01-15 17:19:37 > Step: 36400 Progress: 36.4% Elapsed: 5:19:35 temperature: no ada_p: No Discriminator_loss: 0.909936 Generator_loss: 0.496503
[INFO] 2021-01-15 17:20:24 > Step: 36500 Progress: 36.5% Elapsed: 5:20:22 temperature: no ada_p: No Discriminator_loss: 0.550815 Generator_loss: 0.731107
[INFO] 2021-01-15 17:21:11 > Step: 36600 Progress: 36.6% Elapsed: 5:21:09 temperature: no ada_p: No Discriminator_loss: 0.693692 Generator_loss: 0.551127
[INFO] 2021-01-15 17:21:58 > Step: 36700 Progress: 36.7% Elapsed: 5:21:56 temperature: no ada_p: No Discriminator_loss: 0.937697 Generator_loss: 0.643573
[INFO] 2021-01-15 17:22:45 > Step: 36800 Progress: 36.8% Elapsed: 5:22:43 temperature: no ada_p: No Discriminator_loss: 0.910139 Generator_loss: 1.79428
[INFO] 2021-01-15 17:23:32 > Step: 36900 Progress: 36.9% Elapsed: 5:23:30 temperature: no ada_p: No Discriminator_loss: 0.856786 Generator_loss: 1.68925
[INFO] 2021-01-15 17:24:19 > Step: 37000 Progress: 37.0% Elapsed: 5:24:17 temperature: no ada_p: No Discriminator_loss: 0.723451 Generator_loss: 1.77757
[INFO] 2021-01-15 17:25:06 > Step: 37100 Progress: 37.1% Elapsed: 5:25:04 temperature: no ada_p: No Discriminator_loss: 1.13283 Generator_loss: 1.09276
[INFO] 2021-01-15 17:25:53 > Step: 37200 Progress: 37.2% Elapsed: 5:25:51 temperature: no ada_p: No Discriminator_loss: 0.8064 Generator_loss: 1.53024
[INFO] 2021-01-15 17:26:40 > Step: 37300 Progress: 37.3% Elapsed: 5:26:38 temperature: no ada_p: No Discriminator_loss: 0.531273 Generator_loss: 2.00201
[INFO] 2021-01-15 17:27:27 > Step: 37400 Progress: 37.4% Elapsed: 5:27:25 temperature: no ada_p: No Discriminator_loss: 0.850259 Generator_loss: 1.78721
[INFO] 2021-01-15 17:28:14 > Step: 37500 Progress: 37.5% Elapsed: 5:28:12 temperature: no ada_p: No Discriminator_loss: 0.880786 Generator_loss: 1.86102
[INFO] 2021-01-15 17:29:01 > Step: 37600 Progress: 37.6% Elapsed: 5:28:59 temperature: no ada_p: No Discriminator_loss: 0.965733 Generator_loss: 1.57678
[INFO] 2021-01-15 17:29:48 > Step: 37700 Progress: 37.7% Elapsed: 5:29:46 temperature: no ada_p: No Discriminator_loss: 0.73687 Generator_loss: 1.60499
[INFO] 2021-01-15 17:30:35 > Step: 37800 Progress: 37.8% Elapsed: 5:30:33 temperature: no ada_p: No Discriminator_loss: 0.941518 Generator_loss: 1.68337
[INFO] 2021-01-15 17:31:22 > Step: 37900 Progress: 37.9% Elapsed: 5:31:20 temperature: no ada_p: No Discriminator_loss: 0.616663 Generator_loss: 1.65632
[INFO] 2021-01-15 17:32:09 > Step: 38000 Progress: 38.0% Elapsed: 5:32:07 temperature: no ada_p: No Discriminator_loss: 0.79715 Generator_loss: 1.8994
[INFO] 2021-01-15 17:32:09 > Start Evaluation (38000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:32:09 > Calculating FID Score....
[INFO] 2021-01-15 17:32:30 > Calculating Inception Score....
[INFO] 2021-01-15 17:32:43 > Calculate F_beta Score....
[INFO] 2021-01-15 17:33:43 > Calculate Accuracies....
[INFO] 2021-01-15 17:33:48 > Calculate Accuracies....
[INFO] 2021-01-15 17:34:01 > F_8 score (Step: 38000, Using valid images): 0.669097151981358
[INFO] 2021-01-15 17:34:01 > F_1/8 score (Step: 38000, Using valid images): 0.8623833452358232
[INFO] 2021-01-15 17:34:01 > FID score (Step: 38000, Using valid moments): 60.00973140133664
[INFO] 2021-01-15 17:34:01 > Inception score (Step: 38000, 10000 generated images): 7.8816633224487305
[INFO] 2021-01-15 17:34:01 > Best FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 17:34:02 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:34:49 > Step: 38100 Progress: 38.1% Elapsed: 5:34:47 temperature: no ada_p: No Discriminator_loss: 0.832147 Generator_loss: 1.84091
[INFO] 2021-01-15 17:35:36 > Step: 38200 Progress: 38.2% Elapsed: 5:35:34 temperature: no ada_p: No Discriminator_loss: 0.76196 Generator_loss: 1.32798
[INFO] 2021-01-15 17:36:23 > Step: 38300 Progress: 38.3% Elapsed: 5:36:21 temperature: no ada_p: No Discriminator_loss: 0.688362 Generator_loss: 1.81285
[INFO] 2021-01-15 17:37:10 > Step: 38400 Progress: 38.4% Elapsed: 5:37:08 temperature: no ada_p: No Discriminator_loss: 0.699233 Generator_loss: 1.83535
[INFO] 2021-01-15 17:37:57 > Step: 38500 Progress: 38.5% Elapsed: 5:37:55 temperature: no ada_p: No Discriminator_loss: 0.876042 Generator_loss: 1.70468
[INFO] 2021-01-15 17:38:44 > Step: 38600 Progress: 38.6% Elapsed: 5:38:42 temperature: no ada_p: No Discriminator_loss: 0.837444 Generator_loss: 1.95477
[INFO] 2021-01-15 17:39:31 > Step: 38700 Progress: 38.7% Elapsed: 5:39:29 temperature: no ada_p: No Discriminator_loss: 0.645629 Generator_loss: 1.84695
[INFO] 2021-01-15 17:40:18 > Step: 38800 Progress: 38.8% Elapsed: 5:40:16 temperature: no ada_p: No Discriminator_loss: 0.832764 Generator_loss: 1.94188
[INFO] 2021-01-15 17:41:05 > Step: 38900 Progress: 38.9% Elapsed: 5:41:03 temperature: no ada_p: No Discriminator_loss: 0.760595 Generator_loss: 1.59813
[INFO] 2021-01-15 17:41:52 > Step: 39000 Progress: 39.0% Elapsed: 5:41:50 temperature: no ada_p: No Discriminator_loss: 0.605059 Generator_loss: 1.87745
[INFO] 2021-01-15 17:42:39 > Step: 39100 Progress: 39.1% Elapsed: 5:42:37 temperature: no ada_p: No Discriminator_loss: 0.717248 Generator_loss: 1.82641
[INFO] 2021-01-15 17:43:26 > Step: 39200 Progress: 39.2% Elapsed: 5:43:24 temperature: no ada_p: No Discriminator_loss: 0.748935 Generator_loss: 1.73368
[INFO] 2021-01-15 17:44:13 > Step: 39300 Progress: 39.3% Elapsed: 5:44:11 temperature: no ada_p: No Discriminator_loss: 0.558761 Generator_loss: 1.79393
[INFO] 2021-01-15 17:45:01 > Step: 39400 Progress: 39.4% Elapsed: 5:44:59 temperature: no ada_p: No Discriminator_loss: 0.486624 Generator_loss: 1.76878
[INFO] 2021-01-15 17:45:48 > Step: 39500 Progress: 39.5% Elapsed: 5:45:46 temperature: no ada_p: No Discriminator_loss: 1.03872 Generator_loss: 0.541016
[INFO] 2021-01-15 17:46:34 > Step: 39600 Progress: 39.6% Elapsed: 5:46:32 temperature: no ada_p: No Discriminator_loss: 0.597966 Generator_loss: 0.679542
[INFO] 2021-01-15 17:47:21 > Step: 39700 Progress: 39.7% Elapsed: 5:47:19 temperature: no ada_p: No Discriminator_loss: 0.820792 Generator_loss: 0.690914
[INFO] 2021-01-15 17:48:09 > Step: 39800 Progress: 39.8% Elapsed: 5:48:07 temperature: no ada_p: No Discriminator_loss: 0.766566 Generator_loss: 0.667055
[INFO] 2021-01-15 17:48:56 > Step: 39900 Progress: 39.9% Elapsed: 5:48:53 temperature: no ada_p: No Discriminator_loss: 0.553728 Generator_loss: 0.986394
[INFO] 2021-01-15 17:49:42 > Step: 40000 Progress: 40.0% Elapsed: 5:49:40 temperature: no ada_p: No Discriminator_loss: 0.923853 Generator_loss: 0.670388
[INFO] 2021-01-15 17:49:42 > Start Evaluation (40000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:49:42 > Calculating FID Score....
[INFO] 2021-01-15 17:50:03 > Calculating Inception Score....
[INFO] 2021-01-15 17:50:16 > Calculate F_beta Score....
[INFO] 2021-01-15 17:51:18 > Calculate Accuracies....
[INFO] 2021-01-15 17:51:23 > Calculate Accuracies....
[INFO] 2021-01-15 17:51:36 > F_8 score (Step: 40000, Using valid images): 0.6546786462328051
[INFO] 2021-01-15 17:51:36 > F_1/8 score (Step: 40000, Using valid images): 0.8744135859310995
[INFO] 2021-01-15 17:51:36 > FID score (Step: 40000, Using valid moments): 57.57549310319922
[INFO] 2021-01-15 17:51:36 > Inception score (Step: 40000, 10000 generated images): 8.284708976745605
[INFO] 2021-01-15 17:51:36 > Best FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 17:51:37 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 17:52:24 > Step: 40100 Progress: 40.1% Elapsed: 5:52:22 temperature: no ada_p: No Discriminator_loss: 0.892341 Generator_loss: 0.844184
[INFO] 2021-01-15 17:53:11 > Step: 40200 Progress: 40.2% Elapsed: 5:53:09 temperature: no ada_p: No Discriminator_loss: 0.888066 Generator_loss: 0.515329
[INFO] 2021-01-15 17:53:58 > Step: 40300 Progress: 40.3% Elapsed: 5:53:56 temperature: no ada_p: No Discriminator_loss: 0.793473 Generator_loss: 0.712663
[INFO] 2021-01-15 17:54:45 > Step: 40400 Progress: 40.4% Elapsed: 5:54:43 temperature: no ada_p: No Discriminator_loss: 0.721001 Generator_loss: 0.523826
[INFO] 2021-01-15 17:55:31 > Step: 40500 Progress: 40.5% Elapsed: 5:55:29 temperature: no ada_p: No Discriminator_loss: 0.919745 Generator_loss: 0.889962
[INFO] 2021-01-15 17:56:19 > Step: 40600 Progress: 40.6% Elapsed: 5:56:17 temperature: no ada_p: No Discriminator_loss: 0.681142 Generator_loss: 0.777037
[INFO] 2021-01-15 17:57:06 > Step: 40700 Progress: 40.7% Elapsed: 5:57:04 temperature: no ada_p: No Discriminator_loss: 0.766905 Generator_loss: 0.51967
[INFO] 2021-01-15 17:57:53 > Step: 40800 Progress: 40.8% Elapsed: 5:57:51 temperature: no ada_p: No Discriminator_loss: 0.74463 Generator_loss: 0.876463
[INFO] 2021-01-15 17:58:39 > Step: 40900 Progress: 40.9% Elapsed: 5:58:37 temperature: no ada_p: No Discriminator_loss: 0.714104 Generator_loss: 0.607245
[INFO] 2021-01-15 17:59:27 > Step: 41000 Progress: 41.0% Elapsed: 5:59:25 temperature: no ada_p: No Discriminator_loss: 0.741605 Generator_loss: 0.421814
[INFO] 2021-01-15 18:00:14 > Step: 41100 Progress: 41.1% Elapsed: 6:00:12 temperature: no ada_p: No Discriminator_loss: 0.746819 Generator_loss: 0.56797
[INFO] 2021-01-15 18:01:01 > Step: 41200 Progress: 41.2% Elapsed: 6:00:59 temperature: no ada_p: No Discriminator_loss: 0.613286 Generator_loss: 0.716995
[INFO] 2021-01-15 18:01:48 > Step: 41300 Progress: 41.3% Elapsed: 6:01:46 temperature: no ada_p: No Discriminator_loss: 1.04382 Generator_loss: 0.811417
[INFO] 2021-01-15 18:02:35 > Step: 41400 Progress: 41.4% Elapsed: 6:02:33 temperature: no ada_p: No Discriminator_loss: 0.697406 Generator_loss: 0.927629
[INFO] 2021-01-15 18:03:22 > Step: 41500 Progress: 41.5% Elapsed: 6:03:20 temperature: no ada_p: No Discriminator_loss: 0.602599 Generator_loss: 0.618991
[INFO] 2021-01-15 18:04:09 > Step: 41600 Progress: 41.6% Elapsed: 6:04:07 temperature: no ada_p: No Discriminator_loss: 0.676191 Generator_loss: 0.677655
[INFO] 2021-01-15 18:04:56 > Step: 41700 Progress: 41.7% Elapsed: 6:04:54 temperature: no ada_p: No Discriminator_loss: 0.609349 Generator_loss: 0.99366
[INFO] 2021-01-15 18:05:43 > Step: 41800 Progress: 41.8% Elapsed: 6:05:41 temperature: no ada_p: No Discriminator_loss: 0.468071 Generator_loss: 0.794796
[INFO] 2021-01-15 18:06:30 > Step: 41900 Progress: 41.9% Elapsed: 6:06:28 temperature: no ada_p: No Discriminator_loss: 0.805632 Generator_loss: 0.714445
[INFO] 2021-01-15 18:07:17 > Step: 42000 Progress: 42.0% Elapsed: 6:07:15 temperature: no ada_p: No Discriminator_loss: 0.680338 Generator_loss: 0.818625
[INFO] 2021-01-15 18:07:17 > Start Evaluation (42000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:07:17 > Calculating FID Score....
[INFO] 2021-01-15 18:07:38 > Calculating Inception Score....
[INFO] 2021-01-15 18:07:51 > Calculate F_beta Score....
[INFO] 2021-01-15 18:08:51 > Calculate Accuracies....
[INFO] 2021-01-15 18:08:56 > Calculate Accuracies....
[INFO] 2021-01-15 18:09:10 > F_8 score (Step: 42000, Using valid images): 0.6744394787073564
[INFO] 2021-01-15 18:09:10 > F_1/8 score (Step: 42000, Using valid images): 0.8756123317853911
[INFO] 2021-01-15 18:09:10 > FID score (Step: 42000, Using valid moments): 56.72925614918512
[INFO] 2021-01-15 18:09:10 > Inception score (Step: 42000, 10000 generated images): 8.230613708496094
[INFO] 2021-01-15 18:09:10 > Best FID score (Step: 34000, Using valid moments): 56.41367898348159
[INFO] 2021-01-15 18:09:10 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:09:57 > Step: 42100 Progress: 42.1% Elapsed: 6:09:55 temperature: no ada_p: No Discriminator_loss: 0.789902 Generator_loss: 0.508087
[INFO] 2021-01-15 18:10:45 > Step: 42200 Progress: 42.2% Elapsed: 6:10:43 temperature: no ada_p: No Discriminator_loss: 0.767032 Generator_loss: 0.587052
[INFO] 2021-01-15 18:11:31 > Step: 42300 Progress: 42.3% Elapsed: 6:11:29 temperature: no ada_p: No Discriminator_loss: 0.816014 Generator_loss: 0.624646
[INFO] 2021-01-15 18:12:18 > Step: 42400 Progress: 42.4% Elapsed: 6:12:16 temperature: no ada_p: No Discriminator_loss: 0.648837 Generator_loss: 0.623106
[INFO] 2021-01-15 18:13:05 > Step: 42500 Progress: 42.5% Elapsed: 6:13:03 temperature: no ada_p: No Discriminator_loss: 1.0265 Generator_loss: 0.623454
[INFO] 2021-01-15 18:13:53 > Step: 42600 Progress: 42.6% Elapsed: 6:13:51 temperature: no ada_p: No Discriminator_loss: 0.952808 Generator_loss: 0.67785
[INFO] 2021-01-15 18:14:39 > Step: 42700 Progress: 42.7% Elapsed: 6:14:37 temperature: no ada_p: No Discriminator_loss: 0.838711 Generator_loss: 0.738823
[INFO] 2021-01-15 18:15:26 > Step: 42800 Progress: 42.8% Elapsed: 6:15:24 temperature: no ada_p: No Discriminator_loss: 0.659368 Generator_loss: 1.00086
[INFO] 2021-01-15 18:16:13 > Step: 42900 Progress: 42.9% Elapsed: 6:16:11 temperature: no ada_p: No Discriminator_loss: 0.97023 Generator_loss: 0.734568
[INFO] 2021-01-15 18:17:01 > Step: 43000 Progress: 43.0% Elapsed: 6:16:59 temperature: no ada_p: No Discriminator_loss: 0.549687 Generator_loss: 0.761862
[INFO] 2021-01-15 18:17:48 > Step: 43100 Progress: 43.1% Elapsed: 6:17:46 temperature: no ada_p: No Discriminator_loss: 0.471644 Generator_loss: 0.805512
[INFO] 2021-01-15 18:18:35 > Step: 43200 Progress: 43.2% Elapsed: 6:18:33 temperature: no ada_p: No Discriminator_loss: 0.640404 Generator_loss: 1.94387
[INFO] 2021-01-15 18:19:22 > Step: 43300 Progress: 43.3% Elapsed: 6:19:20 temperature: no ada_p: No Discriminator_loss: 0.596855 Generator_loss: 1.61753
[INFO] 2021-01-15 18:20:09 > Step: 43400 Progress: 43.4% Elapsed: 6:20:07 temperature: no ada_p: No Discriminator_loss: 0.767427 Generator_loss: 1.87602
[INFO] 2021-01-15 18:20:56 > Step: 43500 Progress: 43.5% Elapsed: 6:20:54 temperature: no ada_p: No Discriminator_loss: 0.729516 Generator_loss: 1.71738
[INFO] 2021-01-15 18:21:43 > Step: 43600 Progress: 43.6% Elapsed: 6:21:41 temperature: no ada_p: No Discriminator_loss: 0.714669 Generator_loss: 1.80361
[INFO] 2021-01-15 18:22:30 > Step: 43700 Progress: 43.7% Elapsed: 6:22:28 temperature: no ada_p: No Discriminator_loss: 0.612723 Generator_loss: 1.66615
[INFO] 2021-01-15 18:23:17 > Step: 43800 Progress: 43.8% Elapsed: 6:23:15 temperature: no ada_p: No Discriminator_loss: 0.669757 Generator_loss: 1.88576
[INFO] 2021-01-15 18:24:04 > Step: 43900 Progress: 43.9% Elapsed: 6:24:02 temperature: no ada_p: No Discriminator_loss: 0.717008 Generator_loss: 1.87557
[INFO] 2021-01-15 18:24:51 > Step: 44000 Progress: 44.0% Elapsed: 6:24:49 temperature: no ada_p: No Discriminator_loss: 0.657794 Generator_loss: 1.88636
[INFO] 2021-01-15 18:24:51 > Start Evaluation (44000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:24:51 > Calculating FID Score....
[INFO] 2021-01-15 18:25:12 > Calculating Inception Score....
[INFO] 2021-01-15 18:25:25 > Calculate F_beta Score....
[INFO] 2021-01-15 18:26:25 > Calculate Accuracies....
[INFO] 2021-01-15 18:26:30 > Calculate Accuracies....
[INFO] 2021-01-15 18:26:43 > F_8 score (Step: 44000, Using valid images): 0.6998215990567572
[INFO] 2021-01-15 18:26:43 > F_1/8 score (Step: 44000, Using valid images): 0.8745658442659698
[INFO] 2021-01-15 18:26:43 > FID score (Step: 44000, Using valid moments): 56.35556639068318
[INFO] 2021-01-15 18:26:43 > Inception score (Step: 44000, 10000 generated images): 8.616758346557617
[INFO] 2021-01-15 18:26:43 > Best FID score (Step: 44000, Using valid moments): 56.35556639068318
[INFO] 2021-01-15 18:26:45 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:27:33 > Step: 44100 Progress: 44.1% Elapsed: 6:27:30 temperature: no ada_p: No Discriminator_loss: 0.720369 Generator_loss: 1.57882
[INFO] 2021-01-15 18:28:19 > Step: 44200 Progress: 44.2% Elapsed: 6:28:17 temperature: no ada_p: No Discriminator_loss: 0.709352 Generator_loss: 1.87167
[INFO] 2021-01-15 18:29:06 > Step: 44300 Progress: 44.3% Elapsed: 6:29:04 temperature: no ada_p: No Discriminator_loss: 0.802915 Generator_loss: 1.62678
[INFO] 2021-01-15 18:29:53 > Step: 44400 Progress: 44.4% Elapsed: 6:29:51 temperature: no ada_p: No Discriminator_loss: 0.653374 Generator_loss: 1.91405
[INFO] 2021-01-15 18:30:40 > Step: 44500 Progress: 44.5% Elapsed: 6:30:38 temperature: no ada_p: No Discriminator_loss: 0.736813 Generator_loss: 1.80411
[INFO] 2021-01-15 18:31:27 > Step: 44600 Progress: 44.6% Elapsed: 6:31:25 temperature: no ada_p: No Discriminator_loss: 0.751983 Generator_loss: 1.97693
[INFO] 2021-01-15 18:32:14 > Step: 44700 Progress: 44.7% Elapsed: 6:32:12 temperature: no ada_p: No Discriminator_loss: 0.796341 Generator_loss: 1.76897
[INFO] 2021-01-15 18:33:01 > Step: 44800 Progress: 44.8% Elapsed: 6:32:59 temperature: no ada_p: No Discriminator_loss: 0.60224 Generator_loss: 1.87641
[INFO] 2021-01-15 18:33:48 > Step: 44900 Progress: 44.9% Elapsed: 6:33:46 temperature: no ada_p: No Discriminator_loss: 1.04336 Generator_loss: 1.90824
[INFO] 2021-01-15 18:34:35 > Step: 45000 Progress: 45.0% Elapsed: 6:34:33 temperature: no ada_p: No Discriminator_loss: 0.746496 Generator_loss: 1.90904
[INFO] 2021-01-15 18:35:22 > Step: 45100 Progress: 45.1% Elapsed: 6:35:20 temperature: no ada_p: No Discriminator_loss: 0.747787 Generator_loss: 1.66904
[INFO] 2021-01-15 18:36:09 > Step: 45200 Progress: 45.2% Elapsed: 6:36:07 temperature: no ada_p: No Discriminator_loss: 0.588246 Generator_loss: 1.58792
[INFO] 2021-01-15 18:36:57 > Step: 45300 Progress: 45.3% Elapsed: 6:36:54 temperature: no ada_p: No Discriminator_loss: 0.733006 Generator_loss: 1.59925
[INFO] 2021-01-15 18:37:43 > Step: 45400 Progress: 45.4% Elapsed: 6:37:41 temperature: no ada_p: No Discriminator_loss: 0.851243 Generator_loss: 1.85433
[INFO] 2021-01-15 18:38:30 > Step: 45500 Progress: 45.5% Elapsed: 6:38:28 temperature: no ada_p: No Discriminator_loss: 0.93021 Generator_loss: 2.01151
[INFO] 2021-01-15 18:39:17 > Step: 45600 Progress: 45.6% Elapsed: 6:39:15 temperature: no ada_p: No Discriminator_loss: 0.781212 Generator_loss: 1.7644
[INFO] 2021-01-15 18:40:05 > Step: 45700 Progress: 45.7% Elapsed: 6:40:03 temperature: no ada_p: No Discriminator_loss: 0.652741 Generator_loss: 1.74806
[INFO] 2021-01-15 18:40:51 > Step: 45800 Progress: 45.8% Elapsed: 6:40:49 temperature: no ada_p: No Discriminator_loss: 0.62197 Generator_loss: 1.85756
[INFO] 2021-01-15 18:41:38 > Step: 45900 Progress: 45.9% Elapsed: 6:41:36 temperature: no ada_p: No Discriminator_loss: 0.806899 Generator_loss: 1.6778
[INFO] 2021-01-15 18:42:25 > Step: 46000 Progress: 46.0% Elapsed: 6:42:23 temperature: no ada_p: No Discriminator_loss: 0.670097 Generator_loss: 1.94874
[INFO] 2021-01-15 18:42:25 > Start Evaluation (46000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:42:25 > Calculating FID Score....
[INFO] 2021-01-15 18:42:47 > Calculating Inception Score....
[INFO] 2021-01-15 18:43:00 > Calculate F_beta Score....
[INFO] 2021-01-15 18:44:01 > Calculate Accuracies....
[INFO] 2021-01-15 18:44:06 > Calculate Accuracies....
[INFO] 2021-01-15 18:44:19 > F_8 score (Step: 46000, Using valid images): 0.6961542534948435
[INFO] 2021-01-15 18:44:19 > F_1/8 score (Step: 46000, Using valid images): 0.8764409593826256
[INFO] 2021-01-15 18:44:19 > FID score (Step: 46000, Using valid moments): 57.71369080994941
[INFO] 2021-01-15 18:44:19 > Inception score (Step: 46000, 10000 generated images): 8.270363807678223
[INFO] 2021-01-15 18:44:19 > Best FID score (Step: 44000, Using valid moments): 56.35556639068318
[INFO] 2021-01-15 18:44:20 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 18:45:07 > Step: 46100 Progress: 46.1% Elapsed: 6:45:05 temperature: no ada_p: No Discriminator_loss: 0.759402 Generator_loss: 1.86968
[INFO] 2021-01-15 18:45:54 > Step: 46200 Progress: 46.2% Elapsed: 6:45:52 temperature: no ada_p: No Discriminator_loss: 0.905335 Generator_loss: 1.87616
[INFO] 2021-01-15 18:46:40 > Step: 46300 Progress: 46.3% Elapsed: 6:46:38 temperature: no ada_p: No Discriminator_loss: 0.604811 Generator_loss: 1.81469
[INFO] 2021-01-15 18:47:27 > Step: 46400 Progress: 46.4% Elapsed: 6:47:25 temperature: no ada_p: No Discriminator_loss: 0.535814 Generator_loss: 1.90656
[INFO] 2021-01-15 18:48:15 > Step: 46500 Progress: 46.5% Elapsed: 6:48:13 temperature: no ada_p: No Discriminator_loss: 0.699333 Generator_loss: 1.69507
[INFO] 2021-01-15 18:49:02 > Step: 46600 Progress: 46.6% Elapsed: 6:49:00 temperature: no ada_p: No Discriminator_loss: 0.589813 Generator_loss: 1.86922
[INFO] 2021-01-15 18:49:48 > Step: 46700 Progress: 46.7% Elapsed: 6:49:46 temperature: no ada_p: No Discriminator_loss: 0.659256 Generator_loss: 1.77186
[INFO] 2021-01-15 18:50:35 > Step: 46800 Progress: 46.8% Elapsed: 6:50:33 temperature: no ada_p: No Discriminator_loss: 0.66127 Generator_loss: 1.63738
[INFO] 2021-01-15 18:51:23 > Step: 46900 Progress: 46.9% Elapsed: 6:51:21 temperature: no ada_p: No Discriminator_loss: 0.720375 Generator_loss: 1.74946
[INFO] 2021-01-15 18:52:10 > Step: 47000 Progress: 47.0% Elapsed: 6:52:08 temperature: no ada_p: No Discriminator_loss: 0.519098 Generator_loss: 1.98551
[INFO] 2021-01-15 18:52:57 > Step: 47100 Progress: 47.1% Elapsed: 6:52:55 temperature: no ada_p: No Discriminator_loss: 0.932553 Generator_loss: 0.545118
[INFO] 2021-01-15 18:53:44 > Step: 47200 Progress: 47.2% Elapsed: 6:53:42 temperature: no ada_p: No Discriminator_loss: 0.65195 Generator_loss: 0.872124
[INFO] 2021-01-15 18:54:31 > Step: 47300 Progress: 47.3% Elapsed: 6:54:29 temperature: no ada_p: No Discriminator_loss: 0.702991 Generator_loss: 0.767831
[INFO] 2021-01-15 18:55:18 > Step: 47400 Progress: 47.4% Elapsed: 6:55:16 temperature: no ada_p: No Discriminator_loss: 0.684355 Generator_loss: 0.675655
[INFO] 2021-01-15 18:56:05 > Step: 47500 Progress: 47.5% Elapsed: 6:56:03 temperature: no ada_p: No Discriminator_loss: 0.716339 Generator_loss: 0.69665
[INFO] 2021-01-15 18:56:52 > Step: 47600 Progress: 47.6% Elapsed: 6:56:50 temperature: no ada_p: No Discriminator_loss: 0.688904 Generator_loss: 0.589075
[INFO] 2021-01-15 18:57:39 > Step: 47700 Progress: 47.7% Elapsed: 6:57:37 temperature: no ada_p: No Discriminator_loss: 0.727215 Generator_loss: 0.750005
[INFO] 2021-01-15 18:58:26 > Step: 47800 Progress: 47.8% Elapsed: 6:58:24 temperature: no ada_p: No Discriminator_loss: 0.993729 Generator_loss: 0.793068
[INFO] 2021-01-15 18:59:14 > Step: 47900 Progress: 47.9% Elapsed: 6:59:11 temperature: no ada_p: No Discriminator_loss: 0.603778 Generator_loss: 0.794485
[INFO] 2021-01-15 19:00:01 > Step: 48000 Progress: 48.0% Elapsed: 6:59:59 temperature: no ada_p: No Discriminator_loss: 0.771429 Generator_loss: 0.746822
[INFO] 2021-01-15 19:00:01 > Start Evaluation (48000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:00:01 > Calculating FID Score....
[INFO] 2021-01-15 19:00:22 > Calculating Inception Score....
[INFO] 2021-01-15 19:00:35 > Calculate F_beta Score....
[INFO] 2021-01-15 19:01:35 > Calculate Accuracies....
[INFO] 2021-01-15 19:01:40 > Calculate Accuracies....
[INFO] 2021-01-15 19:01:53 > F_8 score (Step: 48000, Using valid images): 0.6680063267479415
[INFO] 2021-01-15 19:01:53 > F_1/8 score (Step: 48000, Using valid images): 0.8961393064332411
[INFO] 2021-01-15 19:01:53 > FID score (Step: 48000, Using valid moments): 54.48596118898632
[INFO] 2021-01-15 19:01:53 > Inception score (Step: 48000, 10000 generated images): 8.677926063537598
[INFO] 2021-01-15 19:01:53 > Best FID score (Step: 48000, Using valid moments): 54.48596118898632
[INFO] 2021-01-15 19:01:55 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:02:42 > Step: 48100 Progress: 48.1% Elapsed: 7:02:40 temperature: no ada_p: No Discriminator_loss: 0.943121 Generator_loss: 0.575747
[INFO] 2021-01-15 19:03:28 > Step: 48200 Progress: 48.2% Elapsed: 7:03:26 temperature: no ada_p: No Discriminator_loss: 0.75472 Generator_loss: 0.489017
[INFO] 2021-01-15 19:04:15 > Step: 48300 Progress: 48.3% Elapsed: 7:04:13 temperature: no ada_p: No Discriminator_loss: 0.682439 Generator_loss: 0.664806
[INFO] 2021-01-15 19:05:03 > Step: 48400 Progress: 48.4% Elapsed: 7:05:01 temperature: no ada_p: No Discriminator_loss: 0.742222 Generator_loss: 0.928939
[INFO] 2021-01-15 19:05:50 > Step: 48500 Progress: 48.5% Elapsed: 7:05:48 temperature: no ada_p: No Discriminator_loss: 0.571581 Generator_loss: 0.657747
[INFO] 2021-01-15 19:06:36 > Step: 48600 Progress: 48.6% Elapsed: 7:06:34 temperature: no ada_p: No Discriminator_loss: 0.801713 Generator_loss: 0.495589
[INFO] 2021-01-15 19:07:23 > Step: 48700 Progress: 48.7% Elapsed: 7:07:21 temperature: no ada_p: No Discriminator_loss: 0.538002 Generator_loss: 0.689356
[INFO] 2021-01-15 19:08:11 > Step: 48800 Progress: 48.8% Elapsed: 7:08:09 temperature: no ada_p: No Discriminator_loss: 0.880746 Generator_loss: 0.627534
[INFO] 2021-01-15 19:08:58 > Step: 48900 Progress: 48.9% Elapsed: 7:08:55 temperature: no ada_p: No Discriminator_loss: 0.535094 Generator_loss: 0.521845
[INFO] 2021-01-15 19:09:44 > Step: 49000 Progress: 49.0% Elapsed: 7:09:42 temperature: no ada_p: No Discriminator_loss: 0.963915 Generator_loss: 0.561719
[INFO] 2021-01-15 19:10:31 > Step: 49100 Progress: 49.1% Elapsed: 7:10:29 temperature: no ada_p: No Discriminator_loss: 0.494183 Generator_loss: 0.763229
[INFO] 2021-01-15 19:11:19 > Step: 49200 Progress: 49.2% Elapsed: 7:11:17 temperature: no ada_p: No Discriminator_loss: 0.57689 Generator_loss: 0.967713
[INFO] 2021-01-15 19:12:05 > Step: 49300 Progress: 49.3% Elapsed: 7:12:03 temperature: no ada_p: No Discriminator_loss: 0.647902 Generator_loss: 0.748347
[INFO] 2021-01-15 19:12:52 > Step: 49400 Progress: 49.4% Elapsed: 7:12:50 temperature: no ada_p: No Discriminator_loss: 0.824117 Generator_loss: 0.811622
[INFO] 2021-01-15 19:13:39 > Step: 49500 Progress: 49.5% Elapsed: 7:13:37 temperature: no ada_p: No Discriminator_loss: 0.574655 Generator_loss: 0.808751
[INFO] 2021-01-15 19:14:27 > Step: 49600 Progress: 49.6% Elapsed: 7:14:25 temperature: no ada_p: No Discriminator_loss: 0.414711 Generator_loss: 0.998756
[INFO] 2021-01-15 19:15:14 > Step: 49700 Progress: 49.7% Elapsed: 7:15:12 temperature: no ada_p: No Discriminator_loss: 0.815305 Generator_loss: 0.791982
[INFO] 2021-01-15 19:16:00 > Step: 49800 Progress: 49.8% Elapsed: 7:15:58 temperature: no ada_p: No Discriminator_loss: 0.588194 Generator_loss: 0.800218
[INFO] 2021-01-15 19:16:47 > Step: 49900 Progress: 49.9% Elapsed: 7:16:45 temperature: no ada_p: No Discriminator_loss: 0.53551 Generator_loss: 1.0266
[INFO] 2021-01-15 19:17:35 > Step: 50000 Progress: 50.0% Elapsed: 7:17:33 temperature: no ada_p: No Discriminator_loss: 0.487084 Generator_loss: 0.724215
[INFO] 2021-01-15 19:17:35 > Start Evaluation (50000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:17:35 > Calculating FID Score....
[INFO] 2021-01-15 19:17:55 > Calculating Inception Score....
[INFO] 2021-01-15 19:18:08 > Calculate F_beta Score....
[INFO] 2021-01-15 19:19:08 > Calculate Accuracies....
[INFO] 2021-01-15 19:19:13 > Calculate Accuracies....
[INFO] 2021-01-15 19:19:26 > F_8 score (Step: 50000, Using valid images): 0.6970566785315315
[INFO] 2021-01-15 19:19:26 > F_1/8 score (Step: 50000, Using valid images): 0.8786487883134929
[INFO] 2021-01-15 19:19:26 > FID score (Step: 50000, Using valid moments): 54.80532629144636
[INFO] 2021-01-15 19:19:26 > Inception score (Step: 50000, 10000 generated images): 8.462099075317383
[INFO] 2021-01-15 19:19:26 > Best FID score (Step: 48000, Using valid moments): 54.48596118898632
[INFO] 2021-01-15 19:19:27 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:20:13 > Step: 50100 Progress: 50.1% Elapsed: 7:20:11 temperature: no ada_p: No Discriminator_loss: 0.843547 Generator_loss: 0.70504
[INFO] 2021-01-15 19:21:00 > Step: 50200 Progress: 50.2% Elapsed: 7:20:58 temperature: no ada_p: No Discriminator_loss: 0.65105 Generator_loss: 0.793378
[INFO] 2021-01-15 19:21:47 > Step: 50300 Progress: 50.3% Elapsed: 7:21:45 temperature: no ada_p: No Discriminator_loss: 0.742733 Generator_loss: 0.495405
[INFO] 2021-01-15 19:22:34 > Step: 50400 Progress: 50.4% Elapsed: 7:22:32 temperature: no ada_p: No Discriminator_loss: 0.780512 Generator_loss: 0.581956
[INFO] 2021-01-15 19:23:21 > Step: 50500 Progress: 50.5% Elapsed: 7:23:19 temperature: no ada_p: No Discriminator_loss: 0.640017 Generator_loss: 0.667272
[INFO] 2021-01-15 19:24:08 > Step: 50600 Progress: 50.6% Elapsed: 7:24:06 temperature: no ada_p: No Discriminator_loss: 0.677939 Generator_loss: 0.81365
[INFO] 2021-01-15 19:24:55 > Step: 50700 Progress: 50.7% Elapsed: 7:24:53 temperature: no ada_p: No Discriminator_loss: 0.523891 Generator_loss: 0.609625
[INFO] 2021-01-15 19:25:43 > Step: 50800 Progress: 50.8% Elapsed: 7:25:40 temperature: no ada_p: No Discriminator_loss: 0.597734 Generator_loss: 0.628992
[INFO] 2021-01-15 19:26:29 > Step: 50900 Progress: 50.9% Elapsed: 7:26:27 temperature: no ada_p: No Discriminator_loss: 0.58046 Generator_loss: 0.800189
[INFO] 2021-01-15 19:27:16 > Step: 51000 Progress: 51.0% Elapsed: 7:27:14 temperature: no ada_p: No Discriminator_loss: 0.725843 Generator_loss: 0.503189
[INFO] 2021-01-15 19:28:04 > Step: 51100 Progress: 51.1% Elapsed: 7:28:02 temperature: no ada_p: No Discriminator_loss: 0.704855 Generator_loss: 0.84375
[INFO] 2021-01-15 19:28:51 > Step: 51200 Progress: 51.2% Elapsed: 7:28:48 temperature: no ada_p: No Discriminator_loss: 0.685929 Generator_loss: 0.621247
[INFO] 2021-01-15 19:29:37 > Step: 51300 Progress: 51.3% Elapsed: 7:29:35 temperature: no ada_p: No Discriminator_loss: 0.411672 Generator_loss: 0.696727
[INFO] 2021-01-15 19:30:24 > Step: 51400 Progress: 51.4% Elapsed: 7:30:22 temperature: no ada_p: No Discriminator_loss: 0.750043 Generator_loss: 0.69092
[INFO] 2021-01-15 19:31:12 > Step: 51500 Progress: 51.5% Elapsed: 7:31:10 temperature: no ada_p: No Discriminator_loss: 0.64486 Generator_loss: 0.734368
[INFO] 2021-01-15 19:31:58 > Step: 51600 Progress: 51.6% Elapsed: 7:31:56 temperature: no ada_p: No Discriminator_loss: 0.858636 Generator_loss: 0.679871
[INFO] 2021-01-15 19:32:45 > Step: 51700 Progress: 51.7% Elapsed: 7:32:43 temperature: no ada_p: No Discriminator_loss: 0.648531 Generator_loss: 0.453076
[INFO] 2021-01-15 19:33:33 > Step: 51800 Progress: 51.8% Elapsed: 7:33:30 temperature: no ada_p: No Discriminator_loss: 0.473317 Generator_loss: 0.811362
[INFO] 2021-01-15 19:34:20 > Step: 51900 Progress: 51.9% Elapsed: 7:34:18 temperature: no ada_p: No Discriminator_loss: 0.447522 Generator_loss: 0.699277
[INFO] 2021-01-15 19:35:07 > Step: 52000 Progress: 52.0% Elapsed: 7:35:05 temperature: no ada_p: No Discriminator_loss: 0.522093 Generator_loss: 0.760477
[INFO] 2021-01-15 19:35:07 > Start Evaluation (52000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:35:07 > Calculating FID Score....
[INFO] 2021-01-15 19:35:28 > Calculating Inception Score....
[INFO] 2021-01-15 19:35:41 > Calculate F_beta Score....
[INFO] 2021-01-15 19:36:41 > Calculate Accuracies....
[INFO] 2021-01-15 19:36:46 > Calculate Accuracies....
[INFO] 2021-01-15 19:36:59 > F_8 score (Step: 52000, Using valid images): 0.6780330407709203
[INFO] 2021-01-15 19:36:59 > F_1/8 score (Step: 52000, Using valid images): 0.8859549622111802
[INFO] 2021-01-15 19:36:59 > FID score (Step: 52000, Using valid moments): 55.82057759677997
[INFO] 2021-01-15 19:36:59 > Inception score (Step: 52000, 10000 generated images): 8.554594993591309
[INFO] 2021-01-15 19:36:59 > Best FID score (Step: 48000, Using valid moments): 54.48596118898632
[INFO] 2021-01-15 19:37:00 > Save model to checkpoints/SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:37:47 > Step: 52100 Progress: 52.1% Elapsed: 7:37:44 temperature: no ada_p: No Discriminator_loss: 0.834098 Generator_loss: 0.746717
[INFO] 2021-01-15 19:38:33 > Step: 52200 Progress: 52.2% Elapsed: 7:38:31 temperature: no ada_p: No Discriminator_loss: 0.539888 Generator_loss: 0.926306
[INFO] 2021-01-15 19:39:21 > Step: 52300 Progress: 52.3% Elapsed: 7:39:19 temperature: no ada_p: No Discriminator_loss: 0.687479 Generator_loss: 0.67667
[INFO] 2021-01-15 19:40:07 > Step: 52400 Progress: 52.4% Elapsed: 7:40:05 temperature: no ada_p: No Discriminator_loss: 0.783305 Generator_loss: 0.713425
[INFO] 2021-01-15 19:40:54 > Step: 52500 Progress: 52.5% Elapsed: 7:40:52 temperature: no ada_p: No Discriminator_loss: 0.586206 Generator_loss: 0.83105
[INFO] 2021-01-15 19:41:41 > Step: 52600 Progress: 52.6% Elapsed: 7:41:39 temperature: no ada_p: No Discriminator_loss: 0.330578 Generator_loss: 0.959066
[INFO] 2021-01-15 19:42:29 > Step: 52700 Progress: 52.7% Elapsed: 7:42:27 temperature: no ada_p: No Discriminator_loss: 0.590775 Generator_loss: 0.772175
[INFO] 2021-01-15 19:43:15 > Step: 52800 Progress: 52.8% Elapsed: 7:43:13 temperature: no ada_p: No Discriminator_loss: 0.859324 Generator_loss: 0.5764
[INFO] 2021-01-15 19:44:02 > Step: 52900 Progress: 52.9% Elapsed: 7:44:00 temperature: no ada_p: No Discriminator_loss: 0.692405 Generator_loss: 0.582498
[INFO] 2021-01-15 19:44:49 > Step: 53000 Progress: 53.0% Elapsed: 7:44:47 temperature: no ada_p: No Discriminator_loss: 0.525722 Generator_loss: 0.497254
[INFO] 2021-01-15 19:45:37 > Step: 53100 Progress: 53.1% Elapsed: 7:45:35 temperature: no ada_p: No Discriminator_loss: 0.552201 Generator_loss: 0.90141
[INFO] 2021-01-15 19:46:24 > Step: 53200 Progress: 53.2% Elapsed: 7:46:22 temperature: no ada_p: No Discriminator_loss: 0.61801 Generator_loss: 0.715229
[INFO] 2021-01-15 19:47:10 > Step: 53300 Progress: 53.3% Elapsed: 7:47:08 temperature: no ada_p: No Discriminator_loss: 0.449833 Generator_loss: 0.907357
[INFO] 2021-01-15 19:47:57 > Step: 53400 Progress: 53.4% Elapsed: 7:47:55 temperature: no ada_p: No Discriminator_loss: 0.434902 Generator_loss: 0.823102
[INFO] 2021-01-15 19:48:45 > Step: 53500 Progress: 53.5% Elapsed: 7:48:43 temperature: no ada_p: No Discriminator_loss: 0.611735 Generator_loss: 0.741778
[INFO] 2021-01-15 19:49:32 > Step: 53600 Progress: 53.6% Elapsed: 7:49:29 temperature: no ada_p: No Discriminator_loss: 0.657016 Generator_loss: 0.532135
[INFO] 2021-01-15 19:50:18 > Step: 53700 Progress: 53.7% Elapsed: 7:50:16 temperature: no ada_p: No Discriminator_loss: 0.789852 Generator_loss: 0.895054
[INFO] 2021-01-15 19:51:05 > Step: 53800 Progress: 53.8% Elapsed: 7:51:03 temperature: no ada_p: No Discriminator_loss: 0.478412 Generator_loss: 0.937887
[INFO] 2021-01-15 19:51:53 > Step: 53900 Progress: 53.9% Elapsed: 7:51:51 temperature: no ada_p: No Discriminator_loss: 0.83419 Generator_loss: 0.875834
[INFO] 2021-01-15 19:52:40 > Step: 54000 Progress: 54.0% Elapsed: 7:52:37 temperature: no ada_p: No Discriminator_loss: 0.84734 Generator_loss: 0.793619
[INFO] 2021-01-15 19:52:40 > Start Evaluation (54000 Step): SNGAN-train-2021_01_15_11_59_43
[INFO] 2021-01-15 19:52:40 > Calculating FID Score....
[INFO] 2021-01-15 19:53:01 > Calculating Inception Score....