forked from POSTECH-CVLab/PyTorch-StudioGAN
-
Notifications
You must be signed in to change notification settings - Fork 0
/
CRGAN(P)-train-2021_01_01_08_55_18.log
1778 lines (1778 loc) · 214 KB
/
CRGAN(P)-train-2021_01_01_08_55_18.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] 2021-01-01 08:55:18 > Run name : CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 08:55:18 > {'config_path': './src/configs/TINY_ILSVRC2012/CRGAN(P).json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': True, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-01 08:55:18 > {'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': 'big_resnet', 'conditional_strategy': 'ProjGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': True, 'd_spectral_norm': True, 'activation_fn': 'ReLU', 'attention': True, 'attention_after_nth_gen_block': 3, 'attention_after_nth_dis_block': 1, 'z_dim': 100, 'shared_dim': 128, 'g_conv_dim': 80, 'd_conv_dim': 80, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 1024, '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': True, 'cr_lambda': 10.0, 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': True, 'ema_decay': 0.9999, 'ema_start': 20000}}}
[INFO] 2021-01-01 08:55:18 > Load train datasets...
[INFO] 2021-01-01 08:55:28 > Train dataset size : 100000
[INFO] 2021-01-01 08:55:28 > Load valid datasets...
[INFO] 2021-01-01 08:55:28 > Eval dataset size : 10000
[INFO] 2021-01-01 08:55:28 > Build model...
[INFO] 2021-01-01 08:55:28 > Modules are located on models.big_resnet.
[INFO] 2021-01-01 08:55:32 > Prepare EMA for G with decay of 0.9999.
[INFO] 2021-01-01 08:55:32 > Number of parameters: 17335204
[INFO] 2021-01-01 08:55:32 > Generator(
(linear0): Linear(in_features=20, out_features=20480, bias=True)
(shared): Embedding(200, 128)
(blocks): ModuleList(
(0): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(1280, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=1280, bias=False)
(bias): Linear(in_features=148, out_features=1280, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(1280, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(1280, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(1): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(640, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=640, bias=False)
(bias): Linear(in_features=148, out_features=640, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(2): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(320, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=320, bias=False)
(bias): Linear(in_features=148, out_features=320, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(320, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
(3): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(160, 20, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(4): ModuleList(
(0): GenBlock(
(bn1): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(160, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=160, bias=False)
(bias): Linear(in_features=148, out_features=160, bias=False)
)
(bn2): ConditionalBatchNorm2d_for_skip_and_shared(
(bn): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
(gain): Linear(in_features=148, out_features=80, bias=False)
(bias): Linear(in_features=148, out_features=80, bias=False)
)
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(160, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
)
)
)
(bn4): BatchNorm2d(80, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
(activation): ReLU(inplace=True)
(conv2d5): Conv2d(80, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(tanh): Tanh()
)
[INFO] 2021-01-01 08:55:32 > Number of parameters: 30796722
[INFO] 2021-01-01 08:55:32 > Discriminator(
(blocks): ModuleList(
(0): ModuleList(
(0): DiscOptBlock(
(conv2d0): Conv2d(3, 80, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(3, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(80, 80, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(activation): ReLU(inplace=True)
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(1): ModuleList(
(0): Self_Attn(
(conv1x1_theta): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_phi): Conv2d(80, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_g): Conv2d(80, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
(conv1x1_attn): Conv2d(40, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
(maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(softmax): Softmax(dim=-1)
)
)
(2): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(80, 160, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(160, 160, 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(160, 320, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(160, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(320, 320, 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(320, 640, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(320, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
)
)
(5): ModuleList(
(0): DiscBlock(
(activation): ReLU(inplace=True)
(conv2d0): Conv2d(640, 1280, kernel_size=(1, 1), stride=(1, 1))
(conv2d1): Conv2d(640, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2d2): Conv2d(1280, 1280, 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=1280, out_features=1, bias=True)
(embedding): Embedding(200, 1280)
)
[INFO] 2021-01-01 08:55:35 > Start training....
[INFO] 2021-01-01 08:58:17 > Step: 100 Progress: 0.1% Elapsed: 0:02:41 temperature: no ada_p: No Discriminator_loss: 1.94085 Generator_loss: -0.451216
[INFO] 2021-01-01 09:00:45 > Step: 200 Progress: 0.2% Elapsed: 0:05:09 temperature: no ada_p: No Discriminator_loss: 1.95278 Generator_loss: 0.362851
[INFO] 2021-01-01 09:03:13 > Step: 300 Progress: 0.3% Elapsed: 0:07:37 temperature: no ada_p: No Discriminator_loss: 1.9548 Generator_loss: 0.471176
[INFO] 2021-01-01 09:05:40 > Step: 400 Progress: 0.4% Elapsed: 0:10:04 temperature: no ada_p: No Discriminator_loss: 1.99963 Generator_loss: -0.248209
[INFO] 2021-01-01 09:08:08 > Step: 500 Progress: 0.5% Elapsed: 0:12:32 temperature: no ada_p: No Discriminator_loss: 1.98021 Generator_loss: 0.579181
[INFO] 2021-01-01 09:10:35 > Step: 600 Progress: 0.6% Elapsed: 0:15:00 temperature: no ada_p: No Discriminator_loss: 1.91596 Generator_loss: 0.411303
[INFO] 2021-01-01 09:13:03 > Step: 700 Progress: 0.7% Elapsed: 0:17:27 temperature: no ada_p: No Discriminator_loss: 1.96767 Generator_loss: 0.811042
[INFO] 2021-01-01 09:15:30 > Step: 800 Progress: 0.8% Elapsed: 0:19:55 temperature: no ada_p: No Discriminator_loss: 2.00737 Generator_loss: 0.479401
[INFO] 2021-01-01 09:17:58 > Step: 900 Progress: 0.9% Elapsed: 0:22:22 temperature: no ada_p: No Discriminator_loss: 1.98468 Generator_loss: -0.441506
[INFO] 2021-01-01 09:20:26 > Step: 1000 Progress: 1.0% Elapsed: 0:24:50 temperature: no ada_p: No Discriminator_loss: 1.97474 Generator_loss: 0.0120695
[INFO] 2021-01-01 09:22:54 > Step: 1100 Progress: 1.1% Elapsed: 0:27:18 temperature: no ada_p: No Discriminator_loss: 1.97464 Generator_loss: -0.311682
[INFO] 2021-01-01 09:25:21 > Step: 1200 Progress: 1.2% Elapsed: 0:29:45 temperature: no ada_p: No Discriminator_loss: 2.01323 Generator_loss: 0.00350572
[INFO] 2021-01-01 09:27:49 > Step: 1300 Progress: 1.3% Elapsed: 0:32:13 temperature: no ada_p: No Discriminator_loss: 1.99926 Generator_loss: 0.390725
[INFO] 2021-01-01 09:30:17 > Step: 1400 Progress: 1.4% Elapsed: 0:34:41 temperature: no ada_p: No Discriminator_loss: 1.91578 Generator_loss: 0.625745
[INFO] 2021-01-01 09:32:45 > Step: 1500 Progress: 1.5% Elapsed: 0:37:09 temperature: no ada_p: No Discriminator_loss: 1.97262 Generator_loss: 0.2225
[INFO] 2021-01-01 09:35:13 > Step: 1600 Progress: 1.6% Elapsed: 0:39:37 temperature: no ada_p: No Discriminator_loss: 1.96416 Generator_loss: 0.129412
[INFO] 2021-01-01 09:37:41 > Step: 1700 Progress: 1.7% Elapsed: 0:42:05 temperature: no ada_p: No Discriminator_loss: 1.96517 Generator_loss: 0.0988267
[INFO] 2021-01-01 09:40:10 > Step: 1800 Progress: 1.8% Elapsed: 0:44:34 temperature: no ada_p: No Discriminator_loss: 2.00548 Generator_loss: 0.251078
[INFO] 2021-01-01 09:42:38 > Step: 1900 Progress: 1.9% Elapsed: 0:47:02 temperature: no ada_p: No Discriminator_loss: 1.91498 Generator_loss: -0.0211024
[INFO] 2021-01-01 09:45:06 > Step: 2000 Progress: 2.0% Elapsed: 0:49:30 temperature: no ada_p: No Discriminator_loss: 1.96792 Generator_loss: -0.286518
[INFO] 2021-01-01 09:45:06 > Start Evaluation (2000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 09:45:06 > Calculating FID Score....
[INFO] 2021-01-01 09:45:27 > Calculating Inception Score....
[INFO] 2021-01-01 09:45:33 > Calculate F_beta Score....
[INFO] 2021-01-01 09:45:58 > Calculate Accuracies....
[INFO] 2021-01-01 09:46:02 > Calculate Accuracies....
[INFO] 2021-01-01 09:46:04 > F_8 score (Step: 2000, Using valid images): 0.3563767157542131
[INFO] 2021-01-01 09:46:04 > F_1/8 score (Step: 2000, Using valid images): 0.41728179645469704
[INFO] 2021-01-01 09:46:04 > FID score (Step: 2000, Using valid moments): 130.57147540507106
[INFO] 2021-01-01 09:46:04 > Inception score (Step: 2000, 10000 generated images): 4.268291473388672
[INFO] 2021-01-01 09:46:04 > Best FID score (Step: 2000, Using valid moments): 130.57147540507106
[INFO] 2021-01-01 09:46:17 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 09:48:46 > Step: 2100 Progress: 2.1% Elapsed: 0:53:10 temperature: no ada_p: No Discriminator_loss: 1.94038 Generator_loss: 0.172384
[INFO] 2021-01-01 09:51:14 > Step: 2200 Progress: 2.2% Elapsed: 0:55:38 temperature: no ada_p: No Discriminator_loss: 1.97537 Generator_loss: 0.583123
[INFO] 2021-01-01 09:53:42 > Step: 2300 Progress: 2.3% Elapsed: 0:58:06 temperature: no ada_p: No Discriminator_loss: 2.00309 Generator_loss: 0.239575
[INFO] 2021-01-01 09:56:10 > Step: 2400 Progress: 2.4% Elapsed: 1:00:34 temperature: no ada_p: No Discriminator_loss: 1.97498 Generator_loss: 0.14654
[INFO] 2021-01-01 09:58:38 > Step: 2500 Progress: 2.5% Elapsed: 1:03:02 temperature: no ada_p: No Discriminator_loss: 1.97711 Generator_loss: 0.0905065
[INFO] 2021-01-01 10:01:07 > Step: 2600 Progress: 2.6% Elapsed: 1:05:31 temperature: no ada_p: No Discriminator_loss: 1.99537 Generator_loss: 0.0968615
[INFO] 2021-01-01 10:03:35 > Step: 2700 Progress: 2.7% Elapsed: 1:07:59 temperature: no ada_p: No Discriminator_loss: 1.99254 Generator_loss: -0.508801
[INFO] 2021-01-01 10:06:03 > Step: 2800 Progress: 2.8% Elapsed: 1:10:27 temperature: no ada_p: No Discriminator_loss: 1.91768 Generator_loss: 0.243915
[INFO] 2021-01-01 10:08:31 > Step: 2900 Progress: 2.9% Elapsed: 1:12:55 temperature: no ada_p: No Discriminator_loss: 1.96295 Generator_loss: -0.00703361
[INFO] 2021-01-01 10:11:00 > Step: 3000 Progress: 3.0% Elapsed: 1:15:24 temperature: no ada_p: No Discriminator_loss: 1.96011 Generator_loss: 0.0845987
[INFO] 2021-01-01 10:13:28 > Step: 3100 Progress: 3.1% Elapsed: 1:17:52 temperature: no ada_p: No Discriminator_loss: 1.99987 Generator_loss: 0.400862
[INFO] 2021-01-01 10:15:56 > Step: 3200 Progress: 3.2% Elapsed: 1:20:21 temperature: no ada_p: No Discriminator_loss: 1.98056 Generator_loss: 0.116584
[INFO] 2021-01-01 10:18:26 > Step: 3300 Progress: 3.3% Elapsed: 1:22:50 temperature: no ada_p: No Discriminator_loss: 1.93724 Generator_loss: 0.417634
[INFO] 2021-01-01 10:20:54 > Step: 3400 Progress: 3.4% Elapsed: 1:25:18 temperature: no ada_p: No Discriminator_loss: 1.8882 Generator_loss: 0.20704
[INFO] 2021-01-01 10:23:22 > Step: 3500 Progress: 3.5% Elapsed: 1:27:46 temperature: no ada_p: No Discriminator_loss: 1.99798 Generator_loss: -0.243802
[INFO] 2021-01-01 10:25:51 > Step: 3600 Progress: 3.6% Elapsed: 1:30:15 temperature: no ada_p: No Discriminator_loss: 1.98616 Generator_loss: -0.663887
[INFO] 2021-01-01 10:28:19 > Step: 3700 Progress: 3.7% Elapsed: 1:32:43 temperature: no ada_p: No Discriminator_loss: 1.95894 Generator_loss: -0.0736721
[INFO] 2021-01-01 10:30:47 > Step: 3800 Progress: 3.8% Elapsed: 1:35:11 temperature: no ada_p: No Discriminator_loss: 1.9923 Generator_loss: -0.355753
[INFO] 2021-01-01 10:33:16 > Step: 3900 Progress: 3.9% Elapsed: 1:37:40 temperature: no ada_p: No Discriminator_loss: 1.97313 Generator_loss: -0.202151
[INFO] 2021-01-01 10:35:44 > Step: 4000 Progress: 4.0% Elapsed: 1:40:08 temperature: no ada_p: No Discriminator_loss: 1.99398 Generator_loss: -0.3736
[INFO] 2021-01-01 10:35:44 > Start Evaluation (4000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 10:35:44 > Calculating FID Score....
[INFO] 2021-01-01 10:36:01 > Calculating Inception Score....
[INFO] 2021-01-01 10:36:06 > Calculate F_beta Score....
[INFO] 2021-01-01 10:36:29 > Calculate Accuracies....
[INFO] 2021-01-01 10:36:33 > Calculate Accuracies....
[INFO] 2021-01-01 10:36:34 > F_8 score (Step: 4000, Using valid images): 0.5115032668408737
[INFO] 2021-01-01 10:36:34 > F_1/8 score (Step: 4000, Using valid images): 0.7535576252823264
[INFO] 2021-01-01 10:36:34 > FID score (Step: 4000, Using valid moments): 82.01974357023721
[INFO] 2021-01-01 10:36:34 > Inception score (Step: 4000, 10000 generated images): 6.733879566192627
[INFO] 2021-01-01 10:36:34 > Best FID score (Step: 4000, Using valid moments): 82.01974357023721
[INFO] 2021-01-01 10:36:48 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 10:39:16 > Step: 4100 Progress: 4.1% Elapsed: 1:43:41 temperature: no ada_p: No Discriminator_loss: 1.92955 Generator_loss: -0.640406
[INFO] 2021-01-01 10:41:45 > Step: 4200 Progress: 4.2% Elapsed: 1:46:09 temperature: no ada_p: No Discriminator_loss: 1.92567 Generator_loss: 0.501314
[INFO] 2021-01-01 10:44:13 > Step: 4300 Progress: 4.3% Elapsed: 1:48:37 temperature: no ada_p: No Discriminator_loss: 1.94818 Generator_loss: 0.124434
[INFO] 2021-01-01 10:46:41 > Step: 4400 Progress: 4.4% Elapsed: 1:51:06 temperature: no ada_p: No Discriminator_loss: 1.93575 Generator_loss: 0.807683
[INFO] 2021-01-01 10:49:10 > Step: 4500 Progress: 4.5% Elapsed: 1:53:34 temperature: no ada_p: No Discriminator_loss: 1.98055 Generator_loss: -0.26325
[INFO] 2021-01-01 10:51:39 > Step: 4600 Progress: 4.6% Elapsed: 1:56:03 temperature: no ada_p: No Discriminator_loss: 2.05911 Generator_loss: 0.659245
[INFO] 2021-01-01 10:54:07 > Step: 4700 Progress: 4.7% Elapsed: 1:58:31 temperature: no ada_p: No Discriminator_loss: 1.97221 Generator_loss: 0.474281
[INFO] 2021-01-01 10:56:35 > Step: 4800 Progress: 4.8% Elapsed: 2:00:59 temperature: no ada_p: No Discriminator_loss: 2.00248 Generator_loss: -0.365505
[INFO] 2021-01-01 10:59:04 > Step: 4900 Progress: 4.9% Elapsed: 2:03:28 temperature: no ada_p: No Discriminator_loss: 1.9051 Generator_loss: -0.153116
[INFO] 2021-01-01 11:01:32 > Step: 5000 Progress: 5.0% Elapsed: 2:05:56 temperature: no ada_p: No Discriminator_loss: 2.008 Generator_loss: -0.420494
[INFO] 2021-01-01 11:04:01 > Step: 5100 Progress: 5.1% Elapsed: 2:08:25 temperature: no ada_p: No Discriminator_loss: 1.98121 Generator_loss: -0.274091
[INFO] 2021-01-01 11:06:29 > Step: 5200 Progress: 5.2% Elapsed: 2:10:53 temperature: no ada_p: No Discriminator_loss: 1.92538 Generator_loss: 0.200283
[INFO] 2021-01-01 11:08:57 > Step: 5300 Progress: 5.3% Elapsed: 2:13:21 temperature: no ada_p: No Discriminator_loss: 1.96216 Generator_loss: -0.542179
[INFO] 2021-01-01 11:11:26 > Step: 5400 Progress: 5.4% Elapsed: 2:15:50 temperature: no ada_p: No Discriminator_loss: 1.90335 Generator_loss: -0.386846
[INFO] 2021-01-01 11:13:54 > Step: 5500 Progress: 5.5% Elapsed: 2:18:18 temperature: no ada_p: No Discriminator_loss: 1.92356 Generator_loss: 0.69099
[INFO] 2021-01-01 11:16:22 > Step: 5600 Progress: 5.6% Elapsed: 2:20:46 temperature: no ada_p: No Discriminator_loss: 1.88796 Generator_loss: -0.231497
[INFO] 2021-01-01 11:18:51 > Step: 5700 Progress: 5.7% Elapsed: 2:23:15 temperature: no ada_p: No Discriminator_loss: 1.89113 Generator_loss: 0.537355
[INFO] 2021-01-01 11:21:19 > Step: 5800 Progress: 5.8% Elapsed: 2:25:43 temperature: no ada_p: No Discriminator_loss: 1.92562 Generator_loss: 0.342133
[INFO] 2021-01-01 11:23:47 > Step: 5900 Progress: 5.9% Elapsed: 2:28:11 temperature: no ada_p: No Discriminator_loss: 1.94086 Generator_loss: -0.76802
[INFO] 2021-01-01 11:26:16 > Step: 6000 Progress: 6.0% Elapsed: 2:30:40 temperature: no ada_p: No Discriminator_loss: 1.90282 Generator_loss: 0.0107568
[INFO] 2021-01-01 11:26:16 > Start Evaluation (6000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 11:26:16 > Calculating FID Score....
[INFO] 2021-01-01 11:26:34 > Calculating Inception Score....
[INFO] 2021-01-01 11:26:39 > Calculate F_beta Score....
[INFO] 2021-01-01 11:27:01 > Calculate Accuracies....
[INFO] 2021-01-01 11:27:05 > Calculate Accuracies....
[INFO] 2021-01-01 11:27:06 > F_8 score (Step: 6000, Using valid images): 0.6421433580964044
[INFO] 2021-01-01 11:27:06 > F_1/8 score (Step: 6000, Using valid images): 0.844499790106138
[INFO] 2021-01-01 11:27:06 > FID score (Step: 6000, Using valid moments): 62.46646394253503
[INFO] 2021-01-01 11:27:06 > Inception score (Step: 6000, 10000 generated images): 7.765119552612305
[INFO] 2021-01-01 11:27:06 > Best FID score (Step: 6000, Using valid moments): 62.46646394253503
[INFO] 2021-01-01 11:27:20 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 11:29:49 > Step: 6100 Progress: 6.1% Elapsed: 2:34:13 temperature: no ada_p: No Discriminator_loss: 1.9478 Generator_loss: 0.298888
[INFO] 2021-01-01 11:32:17 > Step: 6200 Progress: 6.2% Elapsed: 2:36:41 temperature: no ada_p: No Discriminator_loss: 1.93089 Generator_loss: -0.121285
[INFO] 2021-01-01 11:34:45 > Step: 6300 Progress: 6.3% Elapsed: 2:39:09 temperature: no ada_p: No Discriminator_loss: 1.84799 Generator_loss: 0.187725
[INFO] 2021-01-01 11:37:14 > Step: 6400 Progress: 6.4% Elapsed: 2:41:38 temperature: no ada_p: No Discriminator_loss: 1.95266 Generator_loss: 0.154841
[INFO] 2021-01-01 11:39:43 > Step: 6500 Progress: 6.5% Elapsed: 2:44:07 temperature: no ada_p: No Discriminator_loss: 1.91896 Generator_loss: -0.939197
[INFO] 2021-01-01 11:42:11 > Step: 6600 Progress: 6.6% Elapsed: 2:46:35 temperature: no ada_p: No Discriminator_loss: 1.82514 Generator_loss: 0.519036
[INFO] 2021-01-01 11:44:40 > Step: 6700 Progress: 6.7% Elapsed: 2:49:04 temperature: no ada_p: No Discriminator_loss: 1.84998 Generator_loss: -0.757388
[INFO] 2021-01-01 11:47:08 > Step: 6800 Progress: 6.8% Elapsed: 2:51:32 temperature: no ada_p: No Discriminator_loss: 1.83298 Generator_loss: 0.672297
[INFO] 2021-01-01 11:49:36 > Step: 6900 Progress: 6.9% Elapsed: 2:54:00 temperature: no ada_p: No Discriminator_loss: 1.91649 Generator_loss: 0.918264
[INFO] 2021-01-01 11:52:05 > Step: 7000 Progress: 7.0% Elapsed: 2:56:29 temperature: no ada_p: No Discriminator_loss: 1.86811 Generator_loss: 0.0394269
[INFO] 2021-01-01 11:54:33 > Step: 7100 Progress: 7.1% Elapsed: 2:58:57 temperature: no ada_p: No Discriminator_loss: 1.86987 Generator_loss: 0.740463
[INFO] 2021-01-01 11:57:01 > Step: 7200 Progress: 7.2% Elapsed: 3:01:26 temperature: no ada_p: No Discriminator_loss: 1.81196 Generator_loss: 0.563614
[INFO] 2021-01-01 11:59:30 > Step: 7300 Progress: 7.3% Elapsed: 3:03:54 temperature: no ada_p: No Discriminator_loss: 1.86129 Generator_loss: 0.490181
[INFO] 2021-01-01 12:01:58 > Step: 7400 Progress: 7.4% Elapsed: 3:06:22 temperature: no ada_p: No Discriminator_loss: 1.8825 Generator_loss: -0.738452
[INFO] 2021-01-01 12:04:26 > Step: 7500 Progress: 7.5% Elapsed: 3:08:51 temperature: no ada_p: No Discriminator_loss: 1.97158 Generator_loss: -0.690395
[INFO] 2021-01-01 12:06:55 > Step: 7600 Progress: 7.6% Elapsed: 3:11:19 temperature: no ada_p: No Discriminator_loss: 1.937 Generator_loss: -0.423619
[INFO] 2021-01-01 12:09:24 > Step: 7700 Progress: 7.7% Elapsed: 3:13:48 temperature: no ada_p: No Discriminator_loss: 1.92753 Generator_loss: 0.150303
[INFO] 2021-01-01 12:11:52 > Step: 7800 Progress: 7.8% Elapsed: 3:16:16 temperature: no ada_p: No Discriminator_loss: 1.86704 Generator_loss: 0.418072
[INFO] 2021-01-01 12:14:20 > Step: 7900 Progress: 7.9% Elapsed: 3:18:45 temperature: no ada_p: No Discriminator_loss: 1.98885 Generator_loss: -0.7541
[INFO] 2021-01-01 12:16:49 > Step: 8000 Progress: 8.0% Elapsed: 3:21:13 temperature: no ada_p: No Discriminator_loss: 1.84248 Generator_loss: -0.199324
[INFO] 2021-01-01 12:16:49 > Start Evaluation (8000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 12:16:49 > Calculating FID Score....
[INFO] 2021-01-01 12:17:05 > Calculating Inception Score....
[INFO] 2021-01-01 12:17:10 > Calculate F_beta Score....
[INFO] 2021-01-01 12:17:32 > Calculate Accuracies....
[INFO] 2021-01-01 12:17:36 > Calculate Accuracies....
[INFO] 2021-01-01 12:17:37 > F_8 score (Step: 8000, Using valid images): 0.6633182014410722
[INFO] 2021-01-01 12:17:37 > F_1/8 score (Step: 8000, Using valid images): 0.9115443791520245
[INFO] 2021-01-01 12:17:37 > FID score (Step: 8000, Using valid moments): 51.383651163732395
[INFO] 2021-01-01 12:17:37 > Inception score (Step: 8000, 10000 generated images): 8.579909324645996
[INFO] 2021-01-01 12:17:37 > Best FID score (Step: 8000, Using valid moments): 51.383651163732395
[INFO] 2021-01-01 12:17:51 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 12:20:19 > Step: 8100 Progress: 8.1% Elapsed: 3:24:43 temperature: no ada_p: No Discriminator_loss: 1.81097 Generator_loss: 0.826785
[INFO] 2021-01-01 12:22:48 > Step: 8200 Progress: 8.2% Elapsed: 3:27:12 temperature: no ada_p: No Discriminator_loss: 1.78187 Generator_loss: -0.0685347
[INFO] 2021-01-01 12:25:16 > Step: 8300 Progress: 8.3% Elapsed: 3:29:40 temperature: no ada_p: No Discriminator_loss: 1.90063 Generator_loss: 0.247864
[INFO] 2021-01-01 12:27:44 > Step: 8400 Progress: 8.4% Elapsed: 3:32:08 temperature: no ada_p: No Discriminator_loss: 1.95382 Generator_loss: -0.0957053
[INFO] 2021-01-01 12:30:13 > Step: 8500 Progress: 8.5% Elapsed: 3:34:37 temperature: no ada_p: No Discriminator_loss: 1.82594 Generator_loss: 0.112709
[INFO] 2021-01-01 12:32:41 > Step: 8600 Progress: 8.6% Elapsed: 3:37:05 temperature: no ada_p: No Discriminator_loss: 1.7511 Generator_loss: -0.415174
[INFO] 2021-01-01 12:35:09 > Step: 8700 Progress: 8.7% Elapsed: 3:39:34 temperature: no ada_p: No Discriminator_loss: 2.01204 Generator_loss: -0.57273
[INFO] 2021-01-01 12:37:38 > Step: 8800 Progress: 8.8% Elapsed: 3:42:02 temperature: no ada_p: No Discriminator_loss: 1.77449 Generator_loss: 0.954854
[INFO] 2021-01-01 12:40:06 > Step: 8900 Progress: 8.9% Elapsed: 3:44:31 temperature: no ada_p: No Discriminator_loss: 1.95881 Generator_loss: 0.704771
[INFO] 2021-01-01 12:42:35 > Step: 9000 Progress: 9.0% Elapsed: 3:46:59 temperature: no ada_p: No Discriminator_loss: 1.83922 Generator_loss: 0.95452
[INFO] 2021-01-01 12:45:03 > Step: 9100 Progress: 9.1% Elapsed: 3:49:28 temperature: no ada_p: No Discriminator_loss: 1.77547 Generator_loss: 0.0533779
[INFO] 2021-01-01 12:47:32 > Step: 9200 Progress: 9.2% Elapsed: 3:51:56 temperature: no ada_p: No Discriminator_loss: 1.75831 Generator_loss: -0.684386
[INFO] 2021-01-01 12:50:00 > Step: 9300 Progress: 9.3% Elapsed: 3:54:24 temperature: no ada_p: No Discriminator_loss: 1.7944 Generator_loss: -0.116422
[INFO] 2021-01-01 12:52:29 > Step: 9400 Progress: 9.4% Elapsed: 3:56:53 temperature: no ada_p: No Discriminator_loss: 1.79924 Generator_loss: 0.105895
[INFO] 2021-01-01 12:54:57 > Step: 9500 Progress: 9.5% Elapsed: 3:59:21 temperature: no ada_p: No Discriminator_loss: 1.92642 Generator_loss: 0.0853466
[INFO] 2021-01-01 12:57:26 > Step: 9600 Progress: 9.6% Elapsed: 4:01:50 temperature: no ada_p: No Discriminator_loss: 1.91788 Generator_loss: 0.287628
[INFO] 2021-01-01 12:59:54 > Step: 9700 Progress: 9.7% Elapsed: 4:04:18 temperature: no ada_p: No Discriminator_loss: 2.01908 Generator_loss: -1.01888
[INFO] 2021-01-01 13:02:23 > Step: 9800 Progress: 9.8% Elapsed: 4:06:48 temperature: no ada_p: No Discriminator_loss: 1.83719 Generator_loss: 0.147746
[INFO] 2021-01-01 13:04:52 > Step: 9900 Progress: 9.9% Elapsed: 4:09:16 temperature: no ada_p: No Discriminator_loss: 1.94653 Generator_loss: 0.564231
[INFO] 2021-01-01 13:07:21 > Step: 10000 Progress: 10.0% Elapsed: 4:11:45 temperature: no ada_p: No Discriminator_loss: 1.80833 Generator_loss: 0.241597
[INFO] 2021-01-01 13:07:21 > Start Evaluation (10000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 13:07:21 > Calculating FID Score....
[INFO] 2021-01-01 13:07:37 > Calculating Inception Score....
[INFO] 2021-01-01 13:07:43 > Calculate F_beta Score....
[INFO] 2021-01-01 13:08:05 > Calculate Accuracies....
[INFO] 2021-01-01 13:08:09 > Calculate Accuracies....
[INFO] 2021-01-01 13:08:10 > F_8 score (Step: 10000, Using valid images): 0.6977091286228331
[INFO] 2021-01-01 13:08:10 > F_1/8 score (Step: 10000, Using valid images): 0.904950206517484
[INFO] 2021-01-01 13:08:10 > FID score (Step: 10000, Using valid moments): 50.12045695552507
[INFO] 2021-01-01 13:08:10 > Inception score (Step: 10000, 10000 generated images): 8.865968704223633
[INFO] 2021-01-01 13:08:10 > Best FID score (Step: 10000, Using valid moments): 50.12045695552507
[INFO] 2021-01-01 13:08:24 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 13:10:52 > Step: 10100 Progress: 10.1% Elapsed: 4:15:16 temperature: no ada_p: No Discriminator_loss: 1.92925 Generator_loss: -0.225039
[INFO] 2021-01-01 13:13:21 > Step: 10200 Progress: 10.2% Elapsed: 4:17:45 temperature: no ada_p: No Discriminator_loss: 1.94445 Generator_loss: -0.586781
[INFO] 2021-01-01 13:15:49 > Step: 10300 Progress: 10.3% Elapsed: 4:20:13 temperature: no ada_p: No Discriminator_loss: 1.62077 Generator_loss: -0.80532
[INFO] 2021-01-01 13:18:18 > Step: 10400 Progress: 10.4% Elapsed: 4:22:42 temperature: no ada_p: No Discriminator_loss: 1.94729 Generator_loss: 0.106831
[INFO] 2021-01-01 13:20:46 > Step: 10500 Progress: 10.5% Elapsed: 4:25:10 temperature: no ada_p: No Discriminator_loss: 1.68772 Generator_loss: 0.443858
[INFO] 2021-01-01 13:23:15 > Step: 10600 Progress: 10.6% Elapsed: 4:27:39 temperature: no ada_p: No Discriminator_loss: 2.07139 Generator_loss: -0.836809
[INFO] 2021-01-01 13:25:43 > Step: 10700 Progress: 10.7% Elapsed: 4:30:07 temperature: no ada_p: No Discriminator_loss: 1.92246 Generator_loss: 0.171449
[INFO] 2021-01-01 13:28:12 > Step: 10800 Progress: 10.8% Elapsed: 4:32:36 temperature: no ada_p: No Discriminator_loss: 1.91086 Generator_loss: 0.788086
[INFO] 2021-01-01 13:30:40 > Step: 10900 Progress: 10.9% Elapsed: 4:35:04 temperature: no ada_p: No Discriminator_loss: 1.81884 Generator_loss: 0.494828
[INFO] 2021-01-01 13:33:08 > Step: 11000 Progress: 11.0% Elapsed: 4:37:33 temperature: no ada_p: No Discriminator_loss: 1.83337 Generator_loss: -0.701833
[INFO] 2021-01-01 13:35:37 > Step: 11100 Progress: 11.1% Elapsed: 4:40:01 temperature: no ada_p: No Discriminator_loss: 1.91967 Generator_loss: 0.401794
[INFO] 2021-01-01 13:38:05 > Step: 11200 Progress: 11.2% Elapsed: 4:42:29 temperature: no ada_p: No Discriminator_loss: 1.80977 Generator_loss: -0.367635
[INFO] 2021-01-01 13:40:33 > Step: 11300 Progress: 11.3% Elapsed: 4:44:58 temperature: no ada_p: No Discriminator_loss: 1.45499 Generator_loss: 1.05689
[INFO] 2021-01-01 13:43:02 > Step: 11400 Progress: 11.4% Elapsed: 4:47:26 temperature: no ada_p: No Discriminator_loss: 1.74026 Generator_loss: -0.0514862
[INFO] 2021-01-01 13:45:30 > Step: 11500 Progress: 11.5% Elapsed: 4:49:54 temperature: no ada_p: No Discriminator_loss: 1.75346 Generator_loss: 0.940278
[INFO] 2021-01-01 13:47:59 > Step: 11600 Progress: 11.6% Elapsed: 4:52:23 temperature: no ada_p: No Discriminator_loss: 1.72207 Generator_loss: -0.0619137
[INFO] 2021-01-01 13:50:27 > Step: 11700 Progress: 11.7% Elapsed: 4:54:51 temperature: no ada_p: No Discriminator_loss: 1.82409 Generator_loss: -0.824917
[INFO] 2021-01-01 13:52:56 > Step: 11800 Progress: 11.8% Elapsed: 4:57:20 temperature: no ada_p: No Discriminator_loss: 1.74556 Generator_loss: -0.359622
[INFO] 2021-01-01 13:55:24 > Step: 11900 Progress: 11.9% Elapsed: 4:59:48 temperature: no ada_p: No Discriminator_loss: 1.8891 Generator_loss: 0.505874
[INFO] 2021-01-01 13:57:52 > Step: 12000 Progress: 12.0% Elapsed: 5:02:16 temperature: no ada_p: No Discriminator_loss: 2.03551 Generator_loss: -0.147657
[INFO] 2021-01-01 13:57:52 > Start Evaluation (12000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 13:57:52 > Calculating FID Score....
[INFO] 2021-01-01 13:58:08 > Calculating Inception Score....
[INFO] 2021-01-01 13:58:14 > Calculate F_beta Score....
[INFO] 2021-01-01 13:58:36 > Calculate Accuracies....
[INFO] 2021-01-01 13:58:40 > Calculate Accuracies....
[INFO] 2021-01-01 13:58:41 > F_8 score (Step: 12000, Using valid images): 0.6963689033448478
[INFO] 2021-01-01 13:58:41 > F_1/8 score (Step: 12000, Using valid images): 0.8863111796475971
[INFO] 2021-01-01 13:58:41 > FID score (Step: 12000, Using valid moments): 48.19671993046626
[INFO] 2021-01-01 13:58:41 > Inception score (Step: 12000, 10000 generated images): 9.345409393310547
[INFO] 2021-01-01 13:58:41 > Best FID score (Step: 12000, Using valid moments): 48.19671993046626
[INFO] 2021-01-01 13:58:55 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 14:01:24 > Step: 12100 Progress: 12.1% Elapsed: 5:05:48 temperature: no ada_p: No Discriminator_loss: 1.67 Generator_loss: 0.339116
[INFO] 2021-01-01 14:03:52 > Step: 12200 Progress: 12.2% Elapsed: 5:08:16 temperature: no ada_p: No Discriminator_loss: 1.69349 Generator_loss: -0.672385
[INFO] 2021-01-01 14:06:20 > Step: 12300 Progress: 12.3% Elapsed: 5:10:44 temperature: no ada_p: No Discriminator_loss: 1.90424 Generator_loss: 0.402312
[INFO] 2021-01-01 14:08:49 > Step: 12400 Progress: 12.4% Elapsed: 5:13:13 temperature: no ada_p: No Discriminator_loss: 1.74202 Generator_loss: 0.102329
[INFO] 2021-01-01 14:11:17 > Step: 12500 Progress: 12.5% Elapsed: 5:15:41 temperature: no ada_p: No Discriminator_loss: 1.70874 Generator_loss: -0.798151
[INFO] 2021-01-01 14:13:46 > Step: 12600 Progress: 12.6% Elapsed: 5:18:10 temperature: no ada_p: No Discriminator_loss: 1.93509 Generator_loss: 0.496556
[INFO] 2021-01-01 14:16:14 > Step: 12700 Progress: 12.7% Elapsed: 5:20:38 temperature: no ada_p: No Discriminator_loss: 1.75628 Generator_loss: 0.695913
[INFO] 2021-01-01 14:18:42 > Step: 12800 Progress: 12.8% Elapsed: 5:23:06 temperature: no ada_p: No Discriminator_loss: 1.78069 Generator_loss: 0.91262
[INFO] 2021-01-01 14:21:11 > Step: 12900 Progress: 12.9% Elapsed: 5:25:35 temperature: no ada_p: No Discriminator_loss: 1.64087 Generator_loss: 0.294835
[INFO] 2021-01-01 14:23:40 > Step: 13000 Progress: 13.0% Elapsed: 5:28:04 temperature: no ada_p: No Discriminator_loss: 1.7587 Generator_loss: 1.04429
[INFO] 2021-01-01 14:26:08 > Step: 13100 Progress: 13.1% Elapsed: 5:30:32 temperature: no ada_p: No Discriminator_loss: 1.61848 Generator_loss: 0.947401
[INFO] 2021-01-01 14:28:36 > Step: 13200 Progress: 13.2% Elapsed: 5:33:01 temperature: no ada_p: No Discriminator_loss: 1.58537 Generator_loss: 0.607755
[INFO] 2021-01-01 14:31:05 > Step: 13300 Progress: 13.3% Elapsed: 5:35:29 temperature: no ada_p: No Discriminator_loss: 1.70045 Generator_loss: -0.403128
[INFO] 2021-01-01 14:33:33 > Step: 13400 Progress: 13.4% Elapsed: 5:37:57 temperature: no ada_p: No Discriminator_loss: 1.65161 Generator_loss: -0.673846
[INFO] 2021-01-01 14:36:02 > Step: 13500 Progress: 13.5% Elapsed: 5:40:26 temperature: no ada_p: No Discriminator_loss: 1.64801 Generator_loss: -0.430776
[INFO] 2021-01-01 14:38:30 > Step: 13600 Progress: 13.6% Elapsed: 5:42:54 temperature: no ada_p: No Discriminator_loss: 1.75608 Generator_loss: 0.786446
[INFO] 2021-01-01 14:40:58 > Step: 13700 Progress: 13.7% Elapsed: 5:45:22 temperature: no ada_p: No Discriminator_loss: 1.81159 Generator_loss: 0.0757381
[INFO] 2021-01-01 14:43:27 > Step: 13800 Progress: 13.8% Elapsed: 5:47:51 temperature: no ada_p: No Discriminator_loss: 1.97409 Generator_loss: -0.518427
[INFO] 2021-01-01 14:45:55 > Step: 13900 Progress: 13.9% Elapsed: 5:50:19 temperature: no ada_p: No Discriminator_loss: 1.81004 Generator_loss: -0.86045
[INFO] 2021-01-01 14:48:23 > Step: 14000 Progress: 14.0% Elapsed: 5:52:47 temperature: no ada_p: No Discriminator_loss: 1.92668 Generator_loss: -0.409579
[INFO] 2021-01-01 14:48:23 > Start Evaluation (14000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 14:48:23 > Calculating FID Score....
[INFO] 2021-01-01 14:48:40 > Calculating Inception Score....
[INFO] 2021-01-01 14:48:45 > Calculate F_beta Score....
[INFO] 2021-01-01 14:49:07 > Calculate Accuracies....
[INFO] 2021-01-01 14:49:11 > Calculate Accuracies....
[INFO] 2021-01-01 14:49:13 > F_8 score (Step: 14000, Using valid images): 0.7572464735193098
[INFO] 2021-01-01 14:49:13 > F_1/8 score (Step: 14000, Using valid images): 0.9256890461210652
[INFO] 2021-01-01 14:49:13 > FID score (Step: 14000, Using valid moments): 42.075896616811974
[INFO] 2021-01-01 14:49:13 > Inception score (Step: 14000, 10000 generated images): 10.064494132995605
[INFO] 2021-01-01 14:49:13 > Best FID score (Step: 14000, Using valid moments): 42.075896616811974
[INFO] 2021-01-01 14:49:27 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 14:51:55 > Step: 14100 Progress: 14.1% Elapsed: 5:56:19 temperature: no ada_p: No Discriminator_loss: 1.86189 Generator_loss: -0.516929
[INFO] 2021-01-01 14:54:24 > Step: 14200 Progress: 14.2% Elapsed: 5:58:48 temperature: no ada_p: No Discriminator_loss: 1.70444 Generator_loss: 1.16869
[INFO] 2021-01-01 14:56:52 > Step: 14300 Progress: 14.3% Elapsed: 6:01:16 temperature: no ada_p: No Discriminator_loss: 1.90838 Generator_loss: -0.454941
[INFO] 2021-01-01 14:59:21 > Step: 14400 Progress: 14.4% Elapsed: 6:03:45 temperature: no ada_p: No Discriminator_loss: 1.95799 Generator_loss: -0.518697
[INFO] 2021-01-01 15:01:49 > Step: 14500 Progress: 14.5% Elapsed: 6:06:13 temperature: no ada_p: No Discriminator_loss: 1.644 Generator_loss: -0.776568
[INFO] 2021-01-01 15:04:17 > Step: 14600 Progress: 14.6% Elapsed: 6:08:41 temperature: no ada_p: No Discriminator_loss: 1.6568 Generator_loss: 0.577875
[INFO] 2021-01-01 15:06:45 > Step: 14700 Progress: 14.7% Elapsed: 6:11:10 temperature: no ada_p: No Discriminator_loss: 1.69145 Generator_loss: 0.728237
[INFO] 2021-01-01 15:09:14 > Step: 14800 Progress: 14.8% Elapsed: 6:13:38 temperature: no ada_p: No Discriminator_loss: 1.78841 Generator_loss: 0.0884628
[INFO] 2021-01-01 15:11:42 > Step: 14900 Progress: 14.9% Elapsed: 6:16:07 temperature: no ada_p: No Discriminator_loss: 1.64086 Generator_loss: 0.484258
[INFO] 2021-01-01 15:14:11 > Step: 15000 Progress: 15.0% Elapsed: 6:18:35 temperature: no ada_p: No Discriminator_loss: 1.91344 Generator_loss: -0.352992
[INFO] 2021-01-01 15:16:39 > Step: 15100 Progress: 15.1% Elapsed: 6:21:03 temperature: no ada_p: No Discriminator_loss: 1.75377 Generator_loss: -0.306145
[INFO] 2021-01-01 15:19:08 > Step: 15200 Progress: 15.2% Elapsed: 6:23:32 temperature: no ada_p: No Discriminator_loss: 1.9804 Generator_loss: -0.639548
[INFO] 2021-01-01 15:21:36 > Step: 15300 Progress: 15.3% Elapsed: 6:26:00 temperature: no ada_p: No Discriminator_loss: 1.80435 Generator_loss: -0.0369974
[INFO] 2021-01-01 15:24:04 > Step: 15400 Progress: 15.4% Elapsed: 6:28:28 temperature: no ada_p: No Discriminator_loss: 1.62293 Generator_loss: 0.564391
[INFO] 2021-01-01 15:26:33 > Step: 15500 Progress: 15.5% Elapsed: 6:30:57 temperature: no ada_p: No Discriminator_loss: 1.76866 Generator_loss: 0.274435
[INFO] 2021-01-01 15:29:01 > Step: 15600 Progress: 15.6% Elapsed: 6:33:25 temperature: no ada_p: No Discriminator_loss: 1.73295 Generator_loss: 0.863163
[INFO] 2021-01-01 15:31:30 > Step: 15700 Progress: 15.7% Elapsed: 6:35:54 temperature: no ada_p: No Discriminator_loss: 1.6646 Generator_loss: 0.832753
[INFO] 2021-01-01 15:33:58 > Step: 15800 Progress: 15.8% Elapsed: 6:38:22 temperature: no ada_p: No Discriminator_loss: 1.78433 Generator_loss: 0.11711
[INFO] 2021-01-01 15:36:27 > Step: 15900 Progress: 15.9% Elapsed: 6:40:51 temperature: no ada_p: No Discriminator_loss: 1.60195 Generator_loss: 0.384489
[INFO] 2021-01-01 15:38:56 > Step: 16000 Progress: 16.0% Elapsed: 6:43:20 temperature: no ada_p: No Discriminator_loss: 1.8277 Generator_loss: -0.818656
[INFO] 2021-01-01 15:38:56 > Start Evaluation (16000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 15:38:56 > Calculating FID Score....
[INFO] 2021-01-01 15:39:13 > Calculating Inception Score....
[INFO] 2021-01-01 15:39:19 > Calculate F_beta Score....
[INFO] 2021-01-01 15:39:43 > Calculate Accuracies....
[INFO] 2021-01-01 15:39:47 > Calculate Accuracies....
[INFO] 2021-01-01 15:39:48 > F_8 score (Step: 16000, Using valid images): 0.7664889595948442
[INFO] 2021-01-01 15:39:48 > F_1/8 score (Step: 16000, Using valid images): 0.9240458986511105
[INFO] 2021-01-01 15:39:48 > FID score (Step: 16000, Using valid moments): 41.412599291301035
[INFO] 2021-01-01 15:39:48 > Inception score (Step: 16000, 10000 generated images): 10.147175788879395
[INFO] 2021-01-01 15:39:48 > Best FID score (Step: 16000, Using valid moments): 41.412599291301035
[INFO] 2021-01-01 15:40:02 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 15:42:30 > Step: 16100 Progress: 16.1% Elapsed: 6:46:55 temperature: no ada_p: No Discriminator_loss: 1.97126 Generator_loss: -0.571658
[INFO] 2021-01-01 15:45:00 > Step: 16200 Progress: 16.2% Elapsed: 6:49:24 temperature: no ada_p: No Discriminator_loss: 1.73736 Generator_loss: -0.595886
[INFO] 2021-01-01 15:47:29 > Step: 16300 Progress: 16.3% Elapsed: 6:51:53 temperature: no ada_p: No Discriminator_loss: 1.81053 Generator_loss: 0.205863
[INFO] 2021-01-01 15:49:57 > Step: 16400 Progress: 16.4% Elapsed: 6:54:21 temperature: no ada_p: No Discriminator_loss: 1.85005 Generator_loss: -0.264093
[INFO] 2021-01-01 15:52:25 > Step: 16500 Progress: 16.5% Elapsed: 6:56:49 temperature: no ada_p: No Discriminator_loss: 1.6911 Generator_loss: -0.629078
[INFO] 2021-01-01 15:54:54 > Step: 16600 Progress: 16.6% Elapsed: 6:59:18 temperature: no ada_p: No Discriminator_loss: 1.53494 Generator_loss: -0.0812738
[INFO] 2021-01-01 15:57:22 > Step: 16700 Progress: 16.7% Elapsed: 7:01:46 temperature: no ada_p: No Discriminator_loss: 1.64033 Generator_loss: 0.862106
[INFO] 2021-01-01 15:59:50 > Step: 16800 Progress: 16.8% Elapsed: 7:04:14 temperature: no ada_p: No Discriminator_loss: 1.54201 Generator_loss: -0.144707
[INFO] 2021-01-01 16:02:18 > Step: 16900 Progress: 16.9% Elapsed: 7:06:43 temperature: no ada_p: No Discriminator_loss: 2.02051 Generator_loss: -0.610173
[INFO] 2021-01-01 16:04:47 > Step: 17000 Progress: 17.0% Elapsed: 7:09:11 temperature: no ada_p: No Discriminator_loss: 1.84563 Generator_loss: -0.263189
[INFO] 2021-01-01 16:07:15 > Step: 17100 Progress: 17.1% Elapsed: 7:11:40 temperature: no ada_p: No Discriminator_loss: 1.80244 Generator_loss: -0.302118
[INFO] 2021-01-01 16:09:44 > Step: 17200 Progress: 17.2% Elapsed: 7:14:08 temperature: no ada_p: No Discriminator_loss: 1.66747 Generator_loss: 1.18044
[INFO] 2021-01-01 16:12:12 > Step: 17300 Progress: 17.3% Elapsed: 7:16:36 temperature: no ada_p: No Discriminator_loss: 1.60591 Generator_loss: -0.216835
[INFO] 2021-01-01 16:14:41 > Step: 17400 Progress: 17.4% Elapsed: 7:19:05 temperature: no ada_p: No Discriminator_loss: 1.62973 Generator_loss: -0.979525
[INFO] 2021-01-01 16:17:10 > Step: 17500 Progress: 17.5% Elapsed: 7:21:34 temperature: no ada_p: No Discriminator_loss: 1.90868 Generator_loss: -0.532229
[INFO] 2021-01-01 16:19:38 > Step: 17600 Progress: 17.6% Elapsed: 7:24:02 temperature: no ada_p: No Discriminator_loss: 1.78731 Generator_loss: -0.804391
[INFO] 2021-01-01 16:22:06 > Step: 17700 Progress: 17.7% Elapsed: 7:26:31 temperature: no ada_p: No Discriminator_loss: 1.59513 Generator_loss: 0.897658
[INFO] 2021-01-01 16:24:35 > Step: 17800 Progress: 17.8% Elapsed: 7:28:59 temperature: no ada_p: No Discriminator_loss: 1.71418 Generator_loss: -0.86148
[INFO] 2021-01-01 16:27:03 > Step: 17900 Progress: 17.9% Elapsed: 7:31:27 temperature: no ada_p: No Discriminator_loss: 1.79667 Generator_loss: -0.110285
[INFO] 2021-01-01 16:29:32 > Step: 18000 Progress: 18.0% Elapsed: 7:33:56 temperature: no ada_p: No Discriminator_loss: 1.51875 Generator_loss: 0.923316
[INFO] 2021-01-01 16:29:32 > Start Evaluation (18000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 16:29:32 > Calculating FID Score....
[INFO] 2021-01-01 16:29:48 > Calculating Inception Score....
[INFO] 2021-01-01 16:29:53 > Calculate F_beta Score....
[INFO] 2021-01-01 16:30:16 > Calculate Accuracies....
[INFO] 2021-01-01 16:30:19 > Calculate Accuracies....
[INFO] 2021-01-01 16:30:21 > F_8 score (Step: 18000, Using valid images): 0.787622458274391
[INFO] 2021-01-01 16:30:21 > F_1/8 score (Step: 18000, Using valid images): 0.9354368377474723
[INFO] 2021-01-01 16:30:21 > FID score (Step: 18000, Using valid moments): 40.36344437437094
[INFO] 2021-01-01 16:30:21 > Inception score (Step: 18000, 10000 generated images): 10.203614234924316
[INFO] 2021-01-01 16:30:21 > Best FID score (Step: 18000, Using valid moments): 40.36344437437094
[INFO] 2021-01-01 16:30:35 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 16:33:03 > Step: 18100 Progress: 18.1% Elapsed: 7:37:27 temperature: no ada_p: No Discriminator_loss: 1.58644 Generator_loss: -0.244677
[INFO] 2021-01-01 16:35:31 > Step: 18200 Progress: 18.2% Elapsed: 7:39:55 temperature: no ada_p: No Discriminator_loss: 1.81858 Generator_loss: 0.522353
[INFO] 2021-01-01 16:37:59 > Step: 18300 Progress: 18.3% Elapsed: 7:42:23 temperature: no ada_p: No Discriminator_loss: 1.56684 Generator_loss: 0.953572
[INFO] 2021-01-01 16:40:28 > Step: 18400 Progress: 18.4% Elapsed: 7:44:52 temperature: no ada_p: No Discriminator_loss: 1.65775 Generator_loss: 1.14871
[INFO] 2021-01-01 16:42:56 > Step: 18500 Progress: 18.5% Elapsed: 7:47:20 temperature: no ada_p: No Discriminator_loss: 1.43939 Generator_loss: 1.34285
[INFO] 2021-01-01 16:45:24 > Step: 18600 Progress: 18.6% Elapsed: 7:49:49 temperature: no ada_p: No Discriminator_loss: 1.63782 Generator_loss: 1.28694
[INFO] 2021-01-01 16:47:53 > Step: 18700 Progress: 18.7% Elapsed: 7:52:17 temperature: no ada_p: No Discriminator_loss: 1.46256 Generator_loss: -0.151166
[INFO] 2021-01-01 16:50:22 > Step: 18800 Progress: 18.8% Elapsed: 7:54:46 temperature: no ada_p: No Discriminator_loss: 1.57966 Generator_loss: 1.05279
[INFO] 2021-01-01 16:52:50 > Step: 18900 Progress: 18.9% Elapsed: 7:57:14 temperature: no ada_p: No Discriminator_loss: 1.67754 Generator_loss: -0.805337
[INFO] 2021-01-01 16:55:18 > Step: 19000 Progress: 19.0% Elapsed: 7:59:43 temperature: no ada_p: No Discriminator_loss: 1.69487 Generator_loss: 1.04962
[INFO] 2021-01-01 16:57:47 > Step: 19100 Progress: 19.1% Elapsed: 8:02:11 temperature: no ada_p: No Discriminator_loss: 1.48865 Generator_loss: -0.250745
[INFO] 2021-01-01 17:00:15 > Step: 19200 Progress: 19.2% Elapsed: 8:04:39 temperature: no ada_p: No Discriminator_loss: 1.88025 Generator_loss: -0.412038
[INFO] 2021-01-01 17:02:43 > Step: 19300 Progress: 19.3% Elapsed: 8:07:08 temperature: no ada_p: No Discriminator_loss: 1.84523 Generator_loss: -0.149768
[INFO] 2021-01-01 17:05:12 > Step: 19400 Progress: 19.4% Elapsed: 8:09:36 temperature: no ada_p: No Discriminator_loss: 1.49225 Generator_loss: -0.071329
[INFO] 2021-01-01 17:07:41 > Step: 19500 Progress: 19.5% Elapsed: 8:12:05 temperature: no ada_p: No Discriminator_loss: 1.95784 Generator_loss: -0.517202
[INFO] 2021-01-01 17:10:10 > Step: 19600 Progress: 19.6% Elapsed: 8:14:34 temperature: no ada_p: No Discriminator_loss: 1.65182 Generator_loss: 0.408006
[INFO] 2021-01-01 17:12:38 > Step: 19700 Progress: 19.7% Elapsed: 8:17:02 temperature: no ada_p: No Discriminator_loss: 1.90232 Generator_loss: -0.480714
[INFO] 2021-01-01 17:15:06 > Step: 19800 Progress: 19.8% Elapsed: 8:19:30 temperature: no ada_p: No Discriminator_loss: 1.45309 Generator_loss: 0.938395
[INFO] 2021-01-01 17:17:35 > Step: 19900 Progress: 19.9% Elapsed: 8:21:59 temperature: no ada_p: No Discriminator_loss: 1.65995 Generator_loss: 0.577255
[INFO] 2021-01-01 17:20:03 > Step: 20000 Progress: 20.0% Elapsed: 8:24:27 temperature: no ada_p: No Discriminator_loss: 1.73305 Generator_loss: 0.526473
[INFO] 2021-01-01 17:20:03 > Start Evaluation (20000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 17:20:03 > Calculating FID Score....
[INFO] 2021-01-01 17:20:19 > Calculating Inception Score....
[INFO] 2021-01-01 17:20:24 > Calculate F_beta Score....
[INFO] 2021-01-01 17:20:46 > Calculate Accuracies....
[INFO] 2021-01-01 17:20:50 > Calculate Accuracies....
[INFO] 2021-01-01 17:20:51 > F_8 score (Step: 20000, Using valid images): 0.7808467519093164
[INFO] 2021-01-01 17:20:51 > F_1/8 score (Step: 20000, Using valid images): 0.9315401812550167
[INFO] 2021-01-01 17:20:51 > FID score (Step: 20000, Using valid moments): 39.59112098180594
[INFO] 2021-01-01 17:20:51 > Inception score (Step: 20000, 10000 generated images): 10.043757438659668
[INFO] 2021-01-01 17:20:51 > Best FID score (Step: 20000, Using valid moments): 39.59112098180594
[INFO] 2021-01-01 17:21:05 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 17:23:33 > Step: 20100 Progress: 20.1% Elapsed: 8:27:57 temperature: no ada_p: No Discriminator_loss: 1.73403 Generator_loss: -0.677338
[INFO] 2021-01-01 17:26:02 > Step: 20200 Progress: 20.2% Elapsed: 8:30:26 temperature: no ada_p: No Discriminator_loss: 1.67342 Generator_loss: 0.963015
[INFO] 2021-01-01 17:28:30 > Step: 20300 Progress: 20.3% Elapsed: 8:32:54 temperature: no ada_p: No Discriminator_loss: 1.6598 Generator_loss: 0.187429
[INFO] 2021-01-01 17:30:58 > Step: 20400 Progress: 20.4% Elapsed: 8:35:23 temperature: no ada_p: No Discriminator_loss: 1.77361 Generator_loss: 0.539229
[INFO] 2021-01-01 17:33:27 > Step: 20500 Progress: 20.5% Elapsed: 8:37:51 temperature: no ada_p: No Discriminator_loss: 1.54864 Generator_loss: 0.178375
[INFO] 2021-01-01 17:35:55 > Step: 20600 Progress: 20.6% Elapsed: 8:40:19 temperature: no ada_p: No Discriminator_loss: 1.71238 Generator_loss: -0.880647
[INFO] 2021-01-01 17:38:24 > Step: 20700 Progress: 20.7% Elapsed: 8:42:48 temperature: no ada_p: No Discriminator_loss: 1.90143 Generator_loss: -0.446668
[INFO] 2021-01-01 17:40:52 > Step: 20800 Progress: 20.8% Elapsed: 8:45:16 temperature: no ada_p: No Discriminator_loss: 1.61042 Generator_loss: 0.581554
[INFO] 2021-01-01 17:43:21 > Step: 20900 Progress: 20.9% Elapsed: 8:47:45 temperature: no ada_p: No Discriminator_loss: 1.96933 Generator_loss: -0.478956
[INFO] 2021-01-01 17:45:49 > Step: 21000 Progress: 21.0% Elapsed: 8:50:14 temperature: no ada_p: No Discriminator_loss: 1.60018 Generator_loss: -0.16333
[INFO] 2021-01-01 17:48:18 > Step: 21100 Progress: 21.1% Elapsed: 8:52:42 temperature: no ada_p: No Discriminator_loss: 1.54653 Generator_loss: 1.22605
[INFO] 2021-01-01 17:50:46 > Step: 21200 Progress: 21.2% Elapsed: 8:55:10 temperature: no ada_p: No Discriminator_loss: 1.51688 Generator_loss: -0.156306
[INFO] 2021-01-01 17:53:15 > Step: 21300 Progress: 21.3% Elapsed: 8:57:39 temperature: no ada_p: No Discriminator_loss: 1.83891 Generator_loss: -0.324071
[INFO] 2021-01-01 17:55:43 > Step: 21400 Progress: 21.4% Elapsed: 9:00:08 temperature: no ada_p: No Discriminator_loss: 1.4244 Generator_loss: -0.0627631
[INFO] 2021-01-01 17:58:12 > Step: 21500 Progress: 21.5% Elapsed: 9:02:36 temperature: no ada_p: No Discriminator_loss: 1.47897 Generator_loss: 0.144275
[INFO] 2021-01-01 18:00:40 > Step: 21600 Progress: 21.6% Elapsed: 9:05:04 temperature: no ada_p: No Discriminator_loss: 1.67113 Generator_loss: 0.89012
[INFO] 2021-01-01 18:03:08 > Step: 21700 Progress: 21.7% Elapsed: 9:07:33 temperature: no ada_p: No Discriminator_loss: 1.86429 Generator_loss: 0.229882
[INFO] 2021-01-01 18:05:37 > Step: 21800 Progress: 21.8% Elapsed: 9:10:01 temperature: no ada_p: No Discriminator_loss: 1.48673 Generator_loss: 0.491237
[INFO] 2021-01-01 18:08:05 > Step: 21900 Progress: 21.9% Elapsed: 9:12:29 temperature: no ada_p: No Discriminator_loss: 1.50045 Generator_loss: 0.847578
[INFO] 2021-01-01 18:10:34 > Step: 22000 Progress: 22.0% Elapsed: 9:14:58 temperature: no ada_p: No Discriminator_loss: 1.60361 Generator_loss: 0.0210707
[INFO] 2021-01-01 18:10:34 > Start Evaluation (22000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 18:10:34 > Calculating FID Score....
[INFO] 2021-01-01 18:10:50 > Calculating Inception Score....
[INFO] 2021-01-01 18:10:55 > Calculate F_beta Score....
[INFO] 2021-01-01 18:11:18 > Calculate Accuracies....
[INFO] 2021-01-01 18:11:22 > Calculate Accuracies....
[INFO] 2021-01-01 18:11:23 > F_8 score (Step: 22000, Using valid images): 0.7969067719986596
[INFO] 2021-01-01 18:11:23 > F_1/8 score (Step: 22000, Using valid images): 0.9389385658203819
[INFO] 2021-01-01 18:11:23 > FID score (Step: 22000, Using valid moments): 37.16689425810199
[INFO] 2021-01-01 18:11:23 > Inception score (Step: 22000, 10000 generated images): 10.681672096252441
[INFO] 2021-01-01 18:11:23 > Best FID score (Step: 22000, Using valid moments): 37.16689425810199
[INFO] 2021-01-01 18:11:37 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 18:14:05 > Step: 22100 Progress: 22.1% Elapsed: 9:18:29 temperature: no ada_p: No Discriminator_loss: 1.43756 Generator_loss: -0.639131
[INFO] 2021-01-01 18:16:34 > Step: 22200 Progress: 22.2% Elapsed: 9:20:58 temperature: no ada_p: No Discriminator_loss: 1.55278 Generator_loss: 0.130623
[INFO] 2021-01-01 18:19:02 > Step: 22300 Progress: 22.3% Elapsed: 9:23:26 temperature: no ada_p: No Discriminator_loss: 1.80248 Generator_loss: 0.212108
[INFO] 2021-01-01 18:21:31 > Step: 22400 Progress: 22.4% Elapsed: 9:25:55 temperature: no ada_p: No Discriminator_loss: 1.59668 Generator_loss: 0.0545176
[INFO] 2021-01-01 18:23:59 > Step: 22500 Progress: 22.5% Elapsed: 9:28:23 temperature: no ada_p: No Discriminator_loss: 1.46233 Generator_loss: 1.15987
[INFO] 2021-01-01 18:26:27 > Step: 22600 Progress: 22.6% Elapsed: 9:30:52 temperature: no ada_p: No Discriminator_loss: 1.60255 Generator_loss: -0.272507
[INFO] 2021-01-01 18:28:57 > Step: 22700 Progress: 22.7% Elapsed: 9:33:21 temperature: no ada_p: No Discriminator_loss: 1.4868 Generator_loss: -0.0408683
[INFO] 2021-01-01 18:31:25 > Step: 22800 Progress: 22.8% Elapsed: 9:35:49 temperature: no ada_p: No Discriminator_loss: 1.41858 Generator_loss: 1.30986
[INFO] 2021-01-01 18:33:54 > Step: 22900 Progress: 22.9% Elapsed: 9:38:18 temperature: no ada_p: No Discriminator_loss: 1.46286 Generator_loss: -0.293314
[INFO] 2021-01-01 18:36:22 > Step: 23000 Progress: 23.0% Elapsed: 9:40:47 temperature: no ada_p: No Discriminator_loss: 1.5677 Generator_loss: -0.404222
[INFO] 2021-01-01 18:38:51 > Step: 23100 Progress: 23.1% Elapsed: 9:43:15 temperature: no ada_p: No Discriminator_loss: 1.64634 Generator_loss: 1.09864
[INFO] 2021-01-01 18:41:19 > Step: 23200 Progress: 23.2% Elapsed: 9:45:43 temperature: no ada_p: No Discriminator_loss: 1.82749 Generator_loss: -0.154392
[INFO] 2021-01-01 18:43:47 > Step: 23300 Progress: 23.3% Elapsed: 9:48:12 temperature: no ada_p: No Discriminator_loss: 1.56359 Generator_loss: 1.08814
[INFO] 2021-01-01 18:46:16 > Step: 23400 Progress: 23.4% Elapsed: 9:50:40 temperature: no ada_p: No Discriminator_loss: 1.62268 Generator_loss: 0.660585
[INFO] 2021-01-01 18:48:45 > Step: 23500 Progress: 23.5% Elapsed: 9:53:09 temperature: no ada_p: No Discriminator_loss: 1.5934 Generator_loss: 0.680586
[INFO] 2021-01-01 18:51:13 > Step: 23600 Progress: 23.6% Elapsed: 9:55:37 temperature: no ada_p: No Discriminator_loss: 1.52271 Generator_loss: -0.215283
[INFO] 2021-01-01 18:53:42 > Step: 23700 Progress: 23.7% Elapsed: 9:58:06 temperature: no ada_p: No Discriminator_loss: 1.91468 Generator_loss: -0.369254
[INFO] 2021-01-01 18:56:10 > Step: 23800 Progress: 23.8% Elapsed: 10:00:34 temperature: no ada_p: No Discriminator_loss: 1.38653 Generator_loss: 1.23257
[INFO] 2021-01-01 18:58:38 > Step: 23900 Progress: 23.9% Elapsed: 10:03:02 temperature: no ada_p: No Discriminator_loss: 1.57949 Generator_loss: -0.45232
[INFO] 2021-01-01 19:01:06 > Step: 24000 Progress: 24.0% Elapsed: 10:05:30 temperature: no ada_p: No Discriminator_loss: 1.92461 Generator_loss: -0.402694
[INFO] 2021-01-01 19:01:06 > Start Evaluation (24000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 19:01:06 > Calculating FID Score....
[INFO] 2021-01-01 19:01:22 > Calculating Inception Score....
[INFO] 2021-01-01 19:01:28 > Calculate F_beta Score....
[INFO] 2021-01-01 19:01:50 > Calculate Accuracies....
[INFO] 2021-01-01 19:01:53 > Calculate Accuracies....
[INFO] 2021-01-01 19:01:55 > F_8 score (Step: 24000, Using valid images): 0.820334485799485
[INFO] 2021-01-01 19:01:55 > F_1/8 score (Step: 24000, Using valid images): 0.9475004327237047
[INFO] 2021-01-01 19:01:55 > FID score (Step: 24000, Using valid moments): 33.68728208040085
[INFO] 2021-01-01 19:01:55 > Inception score (Step: 24000, 10000 generated images): 11.210000038146973
[INFO] 2021-01-01 19:01:55 > Best FID score (Step: 24000, Using valid moments): 33.68728208040085
[INFO] 2021-01-01 19:02:08 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 19:04:37 > Step: 24100 Progress: 24.1% Elapsed: 10:09:01 temperature: no ada_p: No Discriminator_loss: 1.43289 Generator_loss: 1.17993
[INFO] 2021-01-01 19:07:05 > Step: 24200 Progress: 24.2% Elapsed: 10:11:29 temperature: no ada_p: No Discriminator_loss: 1.71392 Generator_loss: -0.119492
[INFO] 2021-01-01 19:09:34 > Step: 24300 Progress: 24.3% Elapsed: 10:13:58 temperature: no ada_p: No Discriminator_loss: 1.42659 Generator_loss: 0.74208
[INFO] 2021-01-01 19:12:02 > Step: 24400 Progress: 24.4% Elapsed: 10:16:26 temperature: no ada_p: No Discriminator_loss: 1.82575 Generator_loss: -0.815294
[INFO] 2021-01-01 19:14:30 > Step: 24500 Progress: 24.5% Elapsed: 10:18:55 temperature: no ada_p: No Discriminator_loss: 1.5801 Generator_loss: 0.212037
[INFO] 2021-01-01 19:16:59 > Step: 24600 Progress: 24.6% Elapsed: 10:21:23 temperature: no ada_p: No Discriminator_loss: 1.59957 Generator_loss: 0.636653
[INFO] 2021-01-01 19:19:28 > Step: 24700 Progress: 24.7% Elapsed: 10:23:52 temperature: no ada_p: No Discriminator_loss: 1.61993 Generator_loss: 0.123723
[INFO] 2021-01-01 19:21:56 > Step: 24800 Progress: 24.8% Elapsed: 10:26:20 temperature: no ada_p: No Discriminator_loss: 1.43422 Generator_loss: 1.34304
[INFO] 2021-01-01 19:24:25 > Step: 24900 Progress: 24.9% Elapsed: 10:28:49 temperature: no ada_p: No Discriminator_loss: 1.42018 Generator_loss: 0.460119
[INFO] 2021-01-01 19:26:53 > Step: 25000 Progress: 25.0% Elapsed: 10:31:17 temperature: no ada_p: No Discriminator_loss: 1.88294 Generator_loss: -0.510333
[INFO] 2021-01-01 19:29:22 > Step: 25100 Progress: 25.1% Elapsed: 10:33:46 temperature: no ada_p: No Discriminator_loss: 1.86148 Generator_loss: 0.0432547
[INFO] 2021-01-01 19:31:50 > Step: 25200 Progress: 25.2% Elapsed: 10:36:14 temperature: no ada_p: No Discriminator_loss: 1.39361 Generator_loss: -0.209233
[INFO] 2021-01-01 19:34:18 > Step: 25300 Progress: 25.3% Elapsed: 10:38:43 temperature: no ada_p: No Discriminator_loss: 1.80603 Generator_loss: 0.171087
[INFO] 2021-01-01 19:36:47 > Step: 25400 Progress: 25.4% Elapsed: 10:41:11 temperature: no ada_p: No Discriminator_loss: 1.50188 Generator_loss: 1.322
[INFO] 2021-01-01 19:39:15 > Step: 25500 Progress: 25.5% Elapsed: 10:43:40 temperature: no ada_p: No Discriminator_loss: 1.62133 Generator_loss: 0.282428
[INFO] 2021-01-01 19:41:44 > Step: 25600 Progress: 25.6% Elapsed: 10:46:08 temperature: no ada_p: No Discriminator_loss: 1.81177 Generator_loss: -0.44949
[INFO] 2021-01-01 19:44:12 > Step: 25700 Progress: 25.7% Elapsed: 10:48:37 temperature: no ada_p: No Discriminator_loss: 1.48028 Generator_loss: 0.821578
[INFO] 2021-01-01 19:46:41 > Step: 25800 Progress: 25.8% Elapsed: 10:51:05 temperature: no ada_p: No Discriminator_loss: 1.88817 Generator_loss: 0.359016
[INFO] 2021-01-01 19:49:10 > Step: 25900 Progress: 25.9% Elapsed: 10:53:35 temperature: no ada_p: No Discriminator_loss: 1.91465 Generator_loss: -0.0913654
[INFO] 2021-01-01 19:51:39 > Step: 26000 Progress: 26.0% Elapsed: 10:56:03 temperature: no ada_p: No Discriminator_loss: 1.51583 Generator_loss: -0.521604
[INFO] 2021-01-01 19:51:39 > Start Evaluation (26000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 19:51:39 > Calculating FID Score....
[INFO] 2021-01-01 19:51:55 > Calculating Inception Score....
[INFO] 2021-01-01 19:52:01 > Calculate F_beta Score....
[INFO] 2021-01-01 19:52:23 > Calculate Accuracies....
[INFO] 2021-01-01 19:52:26 > Calculate Accuracies....
[INFO] 2021-01-01 19:52:28 > F_8 score (Step: 26000, Using valid images): 0.8562086686063273
[INFO] 2021-01-01 19:52:28 > F_1/8 score (Step: 26000, Using valid images): 0.9569216663754794
[INFO] 2021-01-01 19:52:28 > FID score (Step: 26000, Using valid moments): 31.995426241760867
[INFO] 2021-01-01 19:52:28 > Inception score (Step: 26000, 10000 generated images): 11.732715606689453
[INFO] 2021-01-01 19:52:28 > Best FID score (Step: 26000, Using valid moments): 31.995426241760867
[INFO] 2021-01-01 19:52:42 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 19:55:10 > Step: 26100 Progress: 26.1% Elapsed: 10:59:34 temperature: no ada_p: No Discriminator_loss: 1.66322 Generator_loss: 0.564067
[INFO] 2021-01-01 19:57:39 > Step: 26200 Progress: 26.2% Elapsed: 11:02:03 temperature: no ada_p: No Discriminator_loss: 1.3684 Generator_loss: 0.898894
[INFO] 2021-01-01 20:00:07 > Step: 26300 Progress: 26.3% Elapsed: 11:04:31 temperature: no ada_p: No Discriminator_loss: 1.66017 Generator_loss: 0.565627
[INFO] 2021-01-01 20:02:35 > Step: 26400 Progress: 26.4% Elapsed: 11:06:59 temperature: no ada_p: No Discriminator_loss: 1.47715 Generator_loss: 0.205043
[INFO] 2021-01-01 20:05:04 > Step: 26500 Progress: 26.5% Elapsed: 11:09:28 temperature: no ada_p: No Discriminator_loss: 1.4242 Generator_loss: 0.182585
[INFO] 2021-01-01 20:07:32 > Step: 26600 Progress: 26.6% Elapsed: 11:11:56 temperature: no ada_p: No Discriminator_loss: 1.43879 Generator_loss: -0.319104
[INFO] 2021-01-01 20:10:00 > Step: 26700 Progress: 26.7% Elapsed: 11:14:25 temperature: no ada_p: No Discriminator_loss: 1.40503 Generator_loss: 1.28394
[INFO] 2021-01-01 20:12:29 > Step: 26800 Progress: 26.8% Elapsed: 11:16:53 temperature: no ada_p: No Discriminator_loss: 1.37373 Generator_loss: -0.154412
[INFO] 2021-01-01 20:14:57 > Step: 26900 Progress: 26.9% Elapsed: 11:19:22 temperature: no ada_p: No Discriminator_loss: 1.62029 Generator_loss: 0.727294
[INFO] 2021-01-01 20:17:26 > Step: 27000 Progress: 27.0% Elapsed: 11:21:50 temperature: no ada_p: No Discriminator_loss: 1.55613 Generator_loss: -0.0847232
[INFO] 2021-01-01 20:19:54 > Step: 27100 Progress: 27.1% Elapsed: 11:24:18 temperature: no ada_p: No Discriminator_loss: 1.35413 Generator_loss: -0.0921885
[INFO] 2021-01-01 20:22:23 > Step: 27200 Progress: 27.2% Elapsed: 11:26:47 temperature: no ada_p: No Discriminator_loss: 1.64555 Generator_loss: -0.59805
[INFO] 2021-01-01 20:24:51 > Step: 27300 Progress: 27.3% Elapsed: 11:29:16 temperature: no ada_p: No Discriminator_loss: 1.65984 Generator_loss: 0.219593
[INFO] 2021-01-01 20:27:20 > Step: 27400 Progress: 27.4% Elapsed: 11:31:44 temperature: no ada_p: No Discriminator_loss: 1.29525 Generator_loss: 0.909443
[INFO] 2021-01-01 20:29:48 > Step: 27500 Progress: 27.5% Elapsed: 11:34:12 temperature: no ada_p: No Discriminator_loss: 2.07106 Generator_loss: 0.579683
[INFO] 2021-01-01 20:32:17 > Step: 27600 Progress: 27.6% Elapsed: 11:36:41 temperature: no ada_p: No Discriminator_loss: 1.42862 Generator_loss: 0.0502808
[INFO] 2021-01-01 20:34:45 > Step: 27700 Progress: 27.7% Elapsed: 11:39:09 temperature: no ada_p: No Discriminator_loss: 1.42445 Generator_loss: -0.0759243
[INFO] 2021-01-01 20:37:14 > Step: 27800 Progress: 27.8% Elapsed: 11:41:38 temperature: no ada_p: No Discriminator_loss: 1.79136 Generator_loss: -0.0225939
[INFO] 2021-01-01 20:39:42 > Step: 27900 Progress: 27.9% Elapsed: 11:44:06 temperature: no ada_p: No Discriminator_loss: 1.37756 Generator_loss: -0.45979
[INFO] 2021-01-01 20:42:11 > Step: 28000 Progress: 28.0% Elapsed: 11:46:35 temperature: no ada_p: No Discriminator_loss: 1.53633 Generator_loss: 0.222051
[INFO] 2021-01-01 20:42:11 > Start Evaluation (28000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 20:42:11 > Calculating FID Score....
[INFO] 2021-01-01 20:42:27 > Calculating Inception Score....
[INFO] 2021-01-01 20:42:32 > Calculate F_beta Score....
[INFO] 2021-01-01 20:42:54 > Calculate Accuracies....
[INFO] 2021-01-01 20:42:58 > Calculate Accuracies....
[INFO] 2021-01-01 20:42:59 > F_8 score (Step: 28000, Using valid images): 0.8762465942426827
[INFO] 2021-01-01 20:42:59 > F_1/8 score (Step: 28000, Using valid images): 0.9547399457567558
[INFO] 2021-01-01 20:42:59 > FID score (Step: 28000, Using valid moments): 29.968569408180826
[INFO] 2021-01-01 20:42:59 > Inception score (Step: 28000, 10000 generated images): 11.992081642150879
[INFO] 2021-01-01 20:42:59 > Best FID score (Step: 28000, Using valid moments): 29.968569408180826
[INFO] 2021-01-01 20:43:13 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 20:45:42 > Step: 28100 Progress: 28.1% Elapsed: 11:50:06 temperature: no ada_p: No Discriminator_loss: 1.70312 Generator_loss: 0.448601
[INFO] 2021-01-01 20:48:10 > Step: 28200 Progress: 28.2% Elapsed: 11:52:34 temperature: no ada_p: No Discriminator_loss: 1.64982 Generator_loss: -0.788646
[INFO] 2021-01-01 20:50:39 > Step: 28300 Progress: 28.3% Elapsed: 11:55:03 temperature: no ada_p: No Discriminator_loss: 1.54237 Generator_loss: -0.880164
[INFO] 2021-01-01 20:53:07 > Step: 28400 Progress: 28.4% Elapsed: 11:57:31 temperature: no ada_p: No Discriminator_loss: 1.34964 Generator_loss: 0.429888
[INFO] 2021-01-01 20:55:36 > Step: 28500 Progress: 28.5% Elapsed: 12:00:00 temperature: no ada_p: No Discriminator_loss: 1.60853 Generator_loss: -0.595514
[INFO] 2021-01-01 20:58:04 > Step: 28600 Progress: 28.6% Elapsed: 12:02:29 temperature: no ada_p: No Discriminator_loss: 1.3305 Generator_loss: 0.562344
[INFO] 2021-01-01 21:00:33 > Step: 28700 Progress: 28.7% Elapsed: 12:04:57 temperature: no ada_p: No Discriminator_loss: 1.80602 Generator_loss: 0.15037
[INFO] 2021-01-01 21:03:01 > Step: 28800 Progress: 28.8% Elapsed: 12:07:25 temperature: no ada_p: No Discriminator_loss: 1.5535 Generator_loss: 0.488786
[INFO] 2021-01-01 21:05:30 > Step: 28900 Progress: 28.9% Elapsed: 12:09:54 temperature: no ada_p: No Discriminator_loss: 1.20057 Generator_loss: 0.0452993
[INFO] 2021-01-01 21:07:58 > Step: 29000 Progress: 29.0% Elapsed: 12:12:22 temperature: no ada_p: No Discriminator_loss: 1.29633 Generator_loss: 0.327279
[INFO] 2021-01-01 21:10:27 > Step: 29100 Progress: 29.1% Elapsed: 12:14:51 temperature: no ada_p: No Discriminator_loss: 1.39216 Generator_loss: 0.554914
[INFO] 2021-01-01 21:12:56 > Step: 29200 Progress: 29.2% Elapsed: 12:17:20 temperature: no ada_p: No Discriminator_loss: 1.46028 Generator_loss: -0.00104505
[INFO] 2021-01-01 21:15:24 > Step: 29300 Progress: 29.3% Elapsed: 12:19:49 temperature: no ada_p: No Discriminator_loss: 1.58857 Generator_loss: 0.518523
[INFO] 2021-01-01 21:17:53 > Step: 29400 Progress: 29.4% Elapsed: 12:22:17 temperature: no ada_p: No Discriminator_loss: 1.20475 Generator_loss: 1.33182
[INFO] 2021-01-01 21:20:22 > Step: 29500 Progress: 29.5% Elapsed: 12:24:46 temperature: no ada_p: No Discriminator_loss: 1.64161 Generator_loss: -0.542256
[INFO] 2021-01-01 21:22:50 > Step: 29600 Progress: 29.6% Elapsed: 12:27:15 temperature: no ada_p: No Discriminator_loss: 1.54551 Generator_loss: 1.10004
[INFO] 2021-01-01 21:25:19 > Step: 29700 Progress: 29.7% Elapsed: 12:29:43 temperature: no ada_p: No Discriminator_loss: 1.47615 Generator_loss: -0.6443
[INFO] 2021-01-01 21:27:47 > Step: 29800 Progress: 29.8% Elapsed: 12:32:12 temperature: no ada_p: No Discriminator_loss: 1.67444 Generator_loss: -0.800125
[INFO] 2021-01-01 21:30:16 > Step: 29900 Progress: 29.9% Elapsed: 12:34:40 temperature: no ada_p: No Discriminator_loss: 1.36366 Generator_loss: 0.271632
[INFO] 2021-01-01 21:32:44 > Step: 30000 Progress: 30.0% Elapsed: 12:37:08 temperature: no ada_p: No Discriminator_loss: 1.28707 Generator_loss: 1.27464
[INFO] 2021-01-01 21:32:44 > Start Evaluation (30000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 21:32:44 > Calculating FID Score....
[INFO] 2021-01-01 21:33:01 > Calculating Inception Score....
[INFO] 2021-01-01 21:33:07 > Calculate F_beta Score....
[INFO] 2021-01-01 21:33:29 > Calculate Accuracies....
[INFO] 2021-01-01 21:33:33 > Calculate Accuracies....
[INFO] 2021-01-01 21:33:34 > F_8 score (Step: 30000, Using valid images): 0.8868848146933374
[INFO] 2021-01-01 21:33:34 > F_1/8 score (Step: 30000, Using valid images): 0.9559143956061438
[INFO] 2021-01-01 21:33:34 > FID score (Step: 30000, Using valid moments): 29.04106096878354
[INFO] 2021-01-01 21:33:34 > Inception score (Step: 30000, 10000 generated images): 12.594901084899902
[INFO] 2021-01-01 21:33:34 > Best FID score (Step: 30000, Using valid moments): 29.04106096878354
[INFO] 2021-01-01 21:33:48 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 21:36:16 > Step: 30100 Progress: 30.1% Elapsed: 12:40:40 temperature: no ada_p: No Discriminator_loss: 1.7042 Generator_loss: 0.26658
[INFO] 2021-01-01 21:38:45 > Step: 30200 Progress: 30.2% Elapsed: 12:43:09 temperature: no ada_p: No Discriminator_loss: 1.47803 Generator_loss: 0.572387
[INFO] 2021-01-01 21:41:13 > Step: 30300 Progress: 30.3% Elapsed: 12:45:37 temperature: no ada_p: No Discriminator_loss: 1.44343 Generator_loss: -0.312889
[INFO] 2021-01-01 21:43:42 > Step: 30400 Progress: 30.4% Elapsed: 12:48:06 temperature: no ada_p: No Discriminator_loss: 1.40879 Generator_loss: 0.526211
[INFO] 2021-01-01 21:46:10 > Step: 30500 Progress: 30.5% Elapsed: 12:50:34 temperature: no ada_p: No Discriminator_loss: 1.37183 Generator_loss: 1.19506
[INFO] 2021-01-01 21:48:39 > Step: 30600 Progress: 30.6% Elapsed: 12:53:03 temperature: no ada_p: No Discriminator_loss: 1.29229 Generator_loss: 1.14447
[INFO] 2021-01-01 21:51:07 > Step: 30700 Progress: 30.7% Elapsed: 12:55:31 temperature: no ada_p: No Discriminator_loss: 1.81859 Generator_loss: 0.143973
[INFO] 2021-01-01 21:53:36 > Step: 30800 Progress: 30.8% Elapsed: 12:58:00 temperature: no ada_p: No Discriminator_loss: 1.33148 Generator_loss: 1.32259
[INFO] 2021-01-01 21:56:04 > Step: 30900 Progress: 30.9% Elapsed: 13:00:28 temperature: no ada_p: No Discriminator_loss: 1.46972 Generator_loss: 1.12057
[INFO] 2021-01-01 21:58:33 > Step: 31000 Progress: 31.0% Elapsed: 13:02:57 temperature: no ada_p: No Discriminator_loss: 1.84062 Generator_loss: -0.218615
[INFO] 2021-01-01 22:01:01 > Step: 31100 Progress: 31.1% Elapsed: 13:05:25 temperature: no ada_p: No Discriminator_loss: 1.42868 Generator_loss: -0.0385513
[INFO] 2021-01-01 22:03:30 > Step: 31200 Progress: 31.2% Elapsed: 13:07:54 temperature: no ada_p: No Discriminator_loss: 1.19843 Generator_loss: 1.03996
[INFO] 2021-01-01 22:05:58 > Step: 31300 Progress: 31.3% Elapsed: 13:10:22 temperature: no ada_p: No Discriminator_loss: 1.48243 Generator_loss: -0.585433
[INFO] 2021-01-01 22:08:27 > Step: 31400 Progress: 31.4% Elapsed: 13:12:51 temperature: no ada_p: No Discriminator_loss: 1.51232 Generator_loss: -0.698637
[INFO] 2021-01-01 22:10:56 > Step: 31500 Progress: 31.5% Elapsed: 13:15:20 temperature: no ada_p: No Discriminator_loss: 1.29666 Generator_loss: 0.617424
[INFO] 2021-01-01 22:13:24 > Step: 31600 Progress: 31.6% Elapsed: 13:17:48 temperature: no ada_p: No Discriminator_loss: 1.29042 Generator_loss: 0.891841
[INFO] 2021-01-01 22:15:52 > Step: 31700 Progress: 31.7% Elapsed: 13:20:17 temperature: no ada_p: No Discriminator_loss: 1.50914 Generator_loss: 1.05378
[INFO] 2021-01-01 22:18:21 > Step: 31800 Progress: 31.8% Elapsed: 13:22:45 temperature: no ada_p: No Discriminator_loss: 1.3462 Generator_loss: -0.344987
[INFO] 2021-01-01 22:20:50 > Step: 31900 Progress: 31.9% Elapsed: 13:25:14 temperature: no ada_p: No Discriminator_loss: 1.57705 Generator_loss: 0.534036
[INFO] 2021-01-01 22:23:18 > Step: 32000 Progress: 32.0% Elapsed: 13:27:42 temperature: no ada_p: No Discriminator_loss: 1.26451 Generator_loss: 0.294353
[INFO] 2021-01-01 22:23:18 > Start Evaluation (32000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 22:23:18 > Calculating FID Score....
[INFO] 2021-01-01 22:23:35 > Calculating Inception Score....
[INFO] 2021-01-01 22:23:40 > Calculate F_beta Score....
[INFO] 2021-01-01 22:24:03 > Calculate Accuracies....
[INFO] 2021-01-01 22:24:07 > Calculate Accuracies....
[INFO] 2021-01-01 22:24:08 > F_8 score (Step: 32000, Using valid images): 0.8950880890773172
[INFO] 2021-01-01 22:24:08 > F_1/8 score (Step: 32000, Using valid images): 0.9592658597113279
[INFO] 2021-01-01 22:24:08 > FID score (Step: 32000, Using valid moments): 27.515230041162113
[INFO] 2021-01-01 22:24:08 > Inception score (Step: 32000, 10000 generated images): 12.919878959655762
[INFO] 2021-01-01 22:24:08 > Best FID score (Step: 32000, Using valid moments): 27.515230041162113
[INFO] 2021-01-01 22:24:23 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 22:26:51 > Step: 32100 Progress: 32.1% Elapsed: 13:31:15 temperature: no ada_p: No Discriminator_loss: 1.50987 Generator_loss: -0.846026
[INFO] 2021-01-01 22:29:19 > Step: 32200 Progress: 32.2% Elapsed: 13:33:43 temperature: no ada_p: No Discriminator_loss: 1.48773 Generator_loss: -0.723636
[INFO] 2021-01-01 22:31:48 > Step: 32300 Progress: 32.3% Elapsed: 13:36:12 temperature: no ada_p: No Discriminator_loss: 1.56785 Generator_loss: -0.754481
[INFO] 2021-01-01 22:34:17 > Step: 32400 Progress: 32.4% Elapsed: 13:38:41 temperature: no ada_p: No Discriminator_loss: 1.489 Generator_loss: -0.615184
[INFO] 2021-01-01 22:36:45 > Step: 32500 Progress: 32.5% Elapsed: 13:41:10 temperature: no ada_p: No Discriminator_loss: 1.72135 Generator_loss: 0.370107
[INFO] 2021-01-01 22:39:14 > Step: 32600 Progress: 32.6% Elapsed: 13:43:38 temperature: no ada_p: No Discriminator_loss: 1.3009 Generator_loss: 0.392656
[INFO] 2021-01-01 22:41:43 > Step: 32700 Progress: 32.7% Elapsed: 13:46:07 temperature: no ada_p: No Discriminator_loss: 1.26637 Generator_loss: 0.884994
[INFO] 2021-01-01 22:44:11 > Step: 32800 Progress: 32.8% Elapsed: 13:48:36 temperature: no ada_p: No Discriminator_loss: 1.45937 Generator_loss: 1.15536
[INFO] 2021-01-01 22:46:40 > Step: 32900 Progress: 32.9% Elapsed: 13:51:04 temperature: no ada_p: No Discriminator_loss: 1.61264 Generator_loss: 0.593813
[INFO] 2021-01-01 22:49:08 > Step: 33000 Progress: 33.0% Elapsed: 13:53:32 temperature: no ada_p: No Discriminator_loss: 1.43445 Generator_loss: 1.1004
[INFO] 2021-01-01 22:51:36 > Step: 33100 Progress: 33.1% Elapsed: 13:56:01 temperature: no ada_p: No Discriminator_loss: 1.19631 Generator_loss: 0.862308
[INFO] 2021-01-01 22:54:05 > Step: 33200 Progress: 33.2% Elapsed: 13:58:29 temperature: no ada_p: No Discriminator_loss: 1.31936 Generator_loss: 0.822145
[INFO] 2021-01-01 22:56:33 > Step: 33300 Progress: 33.3% Elapsed: 14:00:58 temperature: no ada_p: No Discriminator_loss: 1.53799 Generator_loss: 0.518435
[INFO] 2021-01-01 22:59:02 > Step: 33400 Progress: 33.4% Elapsed: 14:03:26 temperature: no ada_p: No Discriminator_loss: 1.22704 Generator_loss: 0.542022
[INFO] 2021-01-01 23:01:31 > Step: 33500 Progress: 33.5% Elapsed: 14:05:55 temperature: no ada_p: No Discriminator_loss: 1.35558 Generator_loss: -0.567092
[INFO] 2021-01-01 23:03:59 > Step: 33600 Progress: 33.6% Elapsed: 14:08:23 temperature: no ada_p: No Discriminator_loss: 1.46577 Generator_loss: -0.648288
[INFO] 2021-01-01 23:06:27 > Step: 33700 Progress: 33.7% Elapsed: 14:10:51 temperature: no ada_p: No Discriminator_loss: 1.62663 Generator_loss: 0.552613
[INFO] 2021-01-01 23:08:56 > Step: 33800 Progress: 33.8% Elapsed: 14:13:20 temperature: no ada_p: No Discriminator_loss: 1.72661 Generator_loss: 0.281573
[INFO] 2021-01-01 23:11:24 > Step: 33900 Progress: 33.9% Elapsed: 14:15:49 temperature: no ada_p: No Discriminator_loss: 1.34895 Generator_loss: 2.25138e-05
[INFO] 2021-01-01 23:13:53 > Step: 34000 Progress: 34.0% Elapsed: 14:18:17 temperature: no ada_p: No Discriminator_loss: 1.46662 Generator_loss: -0.580301
[INFO] 2021-01-01 23:13:53 > Start Evaluation (34000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 23:13:53 > Calculating FID Score....
[INFO] 2021-01-01 23:14:09 > Calculating Inception Score....
[INFO] 2021-01-01 23:14:15 > Calculate F_beta Score....
[INFO] 2021-01-01 23:14:36 > Calculate Accuracies....
[INFO] 2021-01-01 23:14:40 > Calculate Accuracies....
[INFO] 2021-01-01 23:14:42 > F_8 score (Step: 34000, Using valid images): 0.8906035717359451
[INFO] 2021-01-01 23:14:42 > F_1/8 score (Step: 34000, Using valid images): 0.9610921573363227
[INFO] 2021-01-01 23:14:42 > FID score (Step: 34000, Using valid moments): 26.807133929226154
[INFO] 2021-01-01 23:14:42 > Inception score (Step: 34000, 10000 generated images): 13.14857006072998
[INFO] 2021-01-01 23:14:42 > Best FID score (Step: 34000, Using valid moments): 26.807133929226154
[INFO] 2021-01-01 23:14:55 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-01 23:17:24 > Step: 34100 Progress: 34.1% Elapsed: 14:21:48 temperature: no ada_p: No Discriminator_loss: 1.6549 Generator_loss: 0.425156
[INFO] 2021-01-01 23:19:53 > Step: 34200 Progress: 34.2% Elapsed: 14:24:17 temperature: no ada_p: No Discriminator_loss: 1.62579 Generator_loss: 0.731779
[INFO] 2021-01-01 23:22:21 > Step: 34300 Progress: 34.3% Elapsed: 14:26:45 temperature: no ada_p: No Discriminator_loss: 1.49867 Generator_loss: 1.13972
[INFO] 2021-01-01 23:24:49 > Step: 34400 Progress: 34.4% Elapsed: 14:29:13 temperature: no ada_p: No Discriminator_loss: 1.69657 Generator_loss: 0.286452
[INFO] 2021-01-01 23:27:18 > Step: 34500 Progress: 34.5% Elapsed: 14:31:42 temperature: no ada_p: No Discriminator_loss: 1.52639 Generator_loss: 0.803282
[INFO] 2021-01-01 23:29:46 > Step: 34600 Progress: 34.6% Elapsed: 14:34:11 temperature: no ada_p: No Discriminator_loss: 1.34698 Generator_loss: 0.732975
[INFO] 2021-01-01 23:32:15 > Step: 34700 Progress: 34.7% Elapsed: 14:36:39 temperature: no ada_p: No Discriminator_loss: 1.22376 Generator_loss: 1.01028
[INFO] 2021-01-01 23:34:43 > Step: 34800 Progress: 34.8% Elapsed: 14:39:07 temperature: no ada_p: No Discriminator_loss: 1.11435 Generator_loss: 0.949513
[INFO] 2021-01-01 23:37:12 > Step: 34900 Progress: 34.9% Elapsed: 14:41:36 temperature: no ada_p: No Discriminator_loss: 1.62163 Generator_loss: -0.507819
[INFO] 2021-01-01 23:39:40 > Step: 35000 Progress: 35.0% Elapsed: 14:44:05 temperature: no ada_p: No Discriminator_loss: 1.59384 Generator_loss: 0.691205
[INFO] 2021-01-01 23:42:09 > Step: 35100 Progress: 35.1% Elapsed: 14:46:33 temperature: no ada_p: No Discriminator_loss: 1.68276 Generator_loss: 0.322856
[INFO] 2021-01-01 23:44:37 > Step: 35200 Progress: 35.2% Elapsed: 14:49:02 temperature: no ada_p: No Discriminator_loss: 1.55285 Generator_loss: 0.808672
[INFO] 2021-01-01 23:47:06 > Step: 35300 Progress: 35.3% Elapsed: 14:51:30 temperature: no ada_p: No Discriminator_loss: 1.27611 Generator_loss: 0.133246
[INFO] 2021-01-01 23:49:34 > Step: 35400 Progress: 35.4% Elapsed: 14:53:59 temperature: no ada_p: No Discriminator_loss: 1.38765 Generator_loss: -0.657581
[INFO] 2021-01-01 23:52:03 > Step: 35500 Progress: 35.5% Elapsed: 14:56:27 temperature: no ada_p: No Discriminator_loss: 1.50622 Generator_loss: 0.518879
[INFO] 2021-01-01 23:54:32 > Step: 35600 Progress: 35.6% Elapsed: 14:58:57 temperature: no ada_p: No Discriminator_loss: 1.34002 Generator_loss: 0.0884558
[INFO] 2021-01-01 23:57:01 > Step: 35700 Progress: 35.7% Elapsed: 15:01:25 temperature: no ada_p: No Discriminator_loss: 1.33445 Generator_loss: -0.43918
[INFO] 2021-01-01 23:59:29 > Step: 35800 Progress: 35.8% Elapsed: 15:03:53 temperature: no ada_p: No Discriminator_loss: 1.77059 Generator_loss: -0.154809
[INFO] 2021-01-02 00:01:58 > Step: 35900 Progress: 35.9% Elapsed: 15:06:22 temperature: no ada_p: No Discriminator_loss: 1.36799 Generator_loss: -0.439676
[INFO] 2021-01-02 00:04:26 > Step: 36000 Progress: 36.0% Elapsed: 15:08:50 temperature: no ada_p: No Discriminator_loss: 1.6489 Generator_loss: 0.306688
[INFO] 2021-01-02 00:04:26 > Start Evaluation (36000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 00:04:26 > Calculating FID Score....
[INFO] 2021-01-02 00:04:42 > Calculating Inception Score....
[INFO] 2021-01-02 00:04:47 > Calculate F_beta Score....
[INFO] 2021-01-02 00:05:09 > Calculate Accuracies....
[INFO] 2021-01-02 00:05:13 > Calculate Accuracies....
[INFO] 2021-01-02 00:05:15 > F_8 score (Step: 36000, Using valid images): 0.9041946477306319
[INFO] 2021-01-02 00:05:15 > F_1/8 score (Step: 36000, Using valid images): 0.9631954691570779
[INFO] 2021-01-02 00:05:15 > FID score (Step: 36000, Using valid moments): 25.834277538949323
[INFO] 2021-01-02 00:05:15 > Inception score (Step: 36000, 10000 generated images): 13.160682678222656
[INFO] 2021-01-02 00:05:15 > Best FID score (Step: 36000, Using valid moments): 25.834277538949323
[INFO] 2021-01-02 00:05:28 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 00:07:57 > Step: 36100 Progress: 36.1% Elapsed: 15:12:21 temperature: no ada_p: No Discriminator_loss: 1.46838 Generator_loss: -0.401612
[INFO] 2021-01-02 00:10:26 > Step: 36200 Progress: 36.2% Elapsed: 15:14:50 temperature: no ada_p: No Discriminator_loss: 1.45412 Generator_loss: -0.561099
[INFO] 2021-01-02 00:12:54 > Step: 36300 Progress: 36.3% Elapsed: 15:17:18 temperature: no ada_p: No Discriminator_loss: 1.20948 Generator_loss: 1.13725
[INFO] 2021-01-02 00:15:23 > Step: 36400 Progress: 36.4% Elapsed: 15:19:47 temperature: no ada_p: No Discriminator_loss: 1.23281 Generator_loss: 0.354728
[INFO] 2021-01-02 00:17:51 > Step: 36500 Progress: 36.5% Elapsed: 15:22:15 temperature: no ada_p: No Discriminator_loss: 1.2776 Generator_loss: -0.545143
[INFO] 2021-01-02 00:20:19 > Step: 36600 Progress: 36.6% Elapsed: 15:24:44 temperature: no ada_p: No Discriminator_loss: 1.34628 Generator_loss: 0.598011
[INFO] 2021-01-02 00:22:48 > Step: 36700 Progress: 36.7% Elapsed: 15:27:12 temperature: no ada_p: No Discriminator_loss: 1.26408 Generator_loss: 0.814704
[INFO] 2021-01-02 00:25:16 > Step: 36800 Progress: 36.8% Elapsed: 15:29:40 temperature: no ada_p: No Discriminator_loss: 1.51914 Generator_loss: -0.637028
[INFO] 2021-01-02 00:27:45 > Step: 36900 Progress: 36.9% Elapsed: 15:32:09 temperature: no ada_p: No Discriminator_loss: 1.73999 Generator_loss: 0.24592
[INFO] 2021-01-02 00:30:13 > Step: 37000 Progress: 37.0% Elapsed: 15:34:37 temperature: no ada_p: No Discriminator_loss: 1.42019 Generator_loss: 1.32127
[INFO] 2021-01-02 00:32:42 > Step: 37100 Progress: 37.1% Elapsed: 15:37:06 temperature: no ada_p: No Discriminator_loss: 1.77165 Generator_loss: 0.101225
[INFO] 2021-01-02 00:35:10 > Step: 37200 Progress: 37.2% Elapsed: 15:39:34 temperature: no ada_p: No Discriminator_loss: 1.23349 Generator_loss: 1.36139
[INFO] 2021-01-02 00:37:39 > Step: 37300 Progress: 37.3% Elapsed: 15:42:03 temperature: no ada_p: No Discriminator_loss: 1.25678 Generator_loss: 1.24474
[INFO] 2021-01-02 00:40:07 > Step: 37400 Progress: 37.4% Elapsed: 15:44:31 temperature: no ada_p: No Discriminator_loss: 1.22246 Generator_loss: 0.542245
[INFO] 2021-01-02 00:42:36 > Step: 37500 Progress: 37.5% Elapsed: 15:47:00 temperature: no ada_p: No Discriminator_loss: 1.61265 Generator_loss: -0.696507
[INFO] 2021-01-02 00:45:04 > Step: 37600 Progress: 37.6% Elapsed: 15:49:29 temperature: no ada_p: No Discriminator_loss: 1.3513 Generator_loss: 0.625805
[INFO] 2021-01-02 00:47:33 > Step: 37700 Progress: 37.7% Elapsed: 15:51:57 temperature: no ada_p: No Discriminator_loss: 1.28639 Generator_loss: 1.28229
[INFO] 2021-01-02 00:50:01 > Step: 37800 Progress: 37.8% Elapsed: 15:54:26 temperature: no ada_p: No Discriminator_loss: 1.39378 Generator_loss: 1.12587
[INFO] 2021-01-02 00:52:30 > Step: 37900 Progress: 37.9% Elapsed: 15:56:54 temperature: no ada_p: No Discriminator_loss: 1.55138 Generator_loss: -0.609469
[INFO] 2021-01-02 00:54:58 > Step: 38000 Progress: 38.0% Elapsed: 15:59:22 temperature: no ada_p: No Discriminator_loss: 1.44427 Generator_loss: 0.746769
[INFO] 2021-01-02 00:54:58 > Start Evaluation (38000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 00:54:58 > Calculating FID Score....
[INFO] 2021-01-02 00:55:14 > Calculating Inception Score....
[INFO] 2021-01-02 00:55:20 > Calculate F_beta Score....
[INFO] 2021-01-02 00:55:43 > Calculate Accuracies....
[INFO] 2021-01-02 00:55:47 > Calculate Accuracies....
[INFO] 2021-01-02 00:55:48 > F_8 score (Step: 38000, Using valid images): 0.9136841848666228
[INFO] 2021-01-02 00:55:48 > F_1/8 score (Step: 38000, Using valid images): 0.9669117132254063
[INFO] 2021-01-02 00:55:48 > FID score (Step: 38000, Using valid moments): 25.382563818600033
[INFO] 2021-01-02 00:55:48 > Inception score (Step: 38000, 10000 generated images): 13.685235023498535
[INFO] 2021-01-02 00:55:48 > Best FID score (Step: 38000, Using valid moments): 25.382563818600033
[INFO] 2021-01-02 00:56:02 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 00:58:30 > Step: 38100 Progress: 38.1% Elapsed: 16:02:54 temperature: no ada_p: No Discriminator_loss: 1.26418 Generator_loss: 1.00009
[INFO] 2021-01-02 01:00:59 > Step: 38200 Progress: 38.2% Elapsed: 16:05:23 temperature: no ada_p: No Discriminator_loss: 1.25642 Generator_loss: 0.346992
[INFO] 2021-01-02 01:03:27 > Step: 38300 Progress: 38.3% Elapsed: 16:07:51 temperature: no ada_p: No Discriminator_loss: 1.5843 Generator_loss: 0.774495
[INFO] 2021-01-02 01:05:55 > Step: 38400 Progress: 38.4% Elapsed: 16:10:19 temperature: no ada_p: No Discriminator_loss: 1.64728 Generator_loss: 0.334189
[INFO] 2021-01-02 01:08:24 > Step: 38500 Progress: 38.5% Elapsed: 16:12:48 temperature: no ada_p: No Discriminator_loss: 1.1818 Generator_loss: 0.607332
[INFO] 2021-01-02 01:10:52 > Step: 38600 Progress: 38.6% Elapsed: 16:15:16 temperature: no ada_p: No Discriminator_loss: 1.24389 Generator_loss: 0.155741
[INFO] 2021-01-02 01:13:21 > Step: 38700 Progress: 38.7% Elapsed: 16:17:45 temperature: no ada_p: No Discriminator_loss: 1.58551 Generator_loss: 0.533006
[INFO] 2021-01-02 01:15:49 > Step: 38800 Progress: 38.8% Elapsed: 16:20:13 temperature: no ada_p: No Discriminator_loss: 1.61966 Generator_loss: 0.413344
[INFO] 2021-01-02 01:18:19 > Step: 38900 Progress: 38.9% Elapsed: 16:22:43 temperature: no ada_p: No Discriminator_loss: 1.66477 Generator_loss: 0.376332
[INFO] 2021-01-02 01:20:48 > Step: 39000 Progress: 39.0% Elapsed: 16:25:12 temperature: no ada_p: No Discriminator_loss: 1.73465 Generator_loss: -0.0456428
[INFO] 2021-01-02 01:23:16 > Step: 39100 Progress: 39.1% Elapsed: 16:27:40 temperature: no ada_p: No Discriminator_loss: 1.29069 Generator_loss: -0.154941
[INFO] 2021-01-02 01:25:44 > Step: 39200 Progress: 39.2% Elapsed: 16:30:09 temperature: no ada_p: No Discriminator_loss: 1.79169 Generator_loss: -0.125095
[INFO] 2021-01-02 01:28:13 > Step: 39300 Progress: 39.3% Elapsed: 16:32:37 temperature: no ada_p: No Discriminator_loss: 1.38411 Generator_loss: 0.628672
[INFO] 2021-01-02 01:30:42 > Step: 39400 Progress: 39.4% Elapsed: 16:35:06 temperature: no ada_p: No Discriminator_loss: 1.30959 Generator_loss: 0.739793
[INFO] 2021-01-02 01:33:10 > Step: 39500 Progress: 39.5% Elapsed: 16:37:34 temperature: no ada_p: No Discriminator_loss: 1.21369 Generator_loss: 0.347818
[INFO] 2021-01-02 01:35:39 > Step: 39600 Progress: 39.6% Elapsed: 16:40:03 temperature: no ada_p: No Discriminator_loss: 1.13859 Generator_loss: 0.0968659
[INFO] 2021-01-02 01:38:07 > Step: 39700 Progress: 39.7% Elapsed: 16:42:31 temperature: no ada_p: No Discriminator_loss: 1.45558 Generator_loss: 0.422675
[INFO] 2021-01-02 01:40:36 > Step: 39800 Progress: 39.8% Elapsed: 16:45:00 temperature: no ada_p: No Discriminator_loss: 1.6309 Generator_loss: 0.509861
[INFO] 2021-01-02 01:43:04 > Step: 39900 Progress: 39.9% Elapsed: 16:47:28 temperature: no ada_p: No Discriminator_loss: 1.25275 Generator_loss: 0.224319
[INFO] 2021-01-02 01:45:32 > Step: 40000 Progress: 40.0% Elapsed: 16:49:56 temperature: no ada_p: No Discriminator_loss: 1.65234 Generator_loss: -0.487554
[INFO] 2021-01-02 01:45:32 > Start Evaluation (40000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 01:45:32 > Calculating FID Score....
[INFO] 2021-01-02 01:45:49 > Calculating Inception Score....
[INFO] 2021-01-02 01:45:54 > Calculate F_beta Score....
[INFO] 2021-01-02 01:46:16 > Calculate Accuracies....
[INFO] 2021-01-02 01:46:20 > Calculate Accuracies....
[INFO] 2021-01-02 01:46:21 > F_8 score (Step: 40000, Using valid images): 0.9132254481238925
[INFO] 2021-01-02 01:46:21 > F_1/8 score (Step: 40000, Using valid images): 0.9613136334852654
[INFO] 2021-01-02 01:46:21 > FID score (Step: 40000, Using valid moments): 25.072229606494204
[INFO] 2021-01-02 01:46:21 > Inception score (Step: 40000, 10000 generated images): 13.407151222229004
[INFO] 2021-01-02 01:46:21 > Best FID score (Step: 40000, Using valid moments): 25.072229606494204
[INFO] 2021-01-02 01:46:35 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 01:49:03 > Step: 40100 Progress: 40.1% Elapsed: 16:53:27 temperature: no ada_p: No Discriminator_loss: 1.23157 Generator_loss: 0.0224018
[INFO] 2021-01-02 01:51:32 > Step: 40200 Progress: 40.2% Elapsed: 16:55:56 temperature: no ada_p: No Discriminator_loss: 1.76535 Generator_loss: 0.0734247
[INFO] 2021-01-02 01:54:00 > Step: 40300 Progress: 40.3% Elapsed: 16:58:24 temperature: no ada_p: No Discriminator_loss: 1.33284 Generator_loss: 0.822337
[INFO] 2021-01-02 01:56:28 > Step: 40400 Progress: 40.4% Elapsed: 17:00:53 temperature: no ada_p: No Discriminator_loss: 1.23423 Generator_loss: 0.370231
[INFO] 2021-01-02 01:58:57 > Step: 40500 Progress: 40.5% Elapsed: 17:03:21 temperature: no ada_p: No Discriminator_loss: 1.11143 Generator_loss: 1.08833
[INFO] 2021-01-02 02:01:26 > Step: 40600 Progress: 40.6% Elapsed: 17:05:50 temperature: no ada_p: No Discriminator_loss: 1.3346 Generator_loss: 0.620595
[INFO] 2021-01-02 02:03:54 > Step: 40700 Progress: 40.7% Elapsed: 17:08:19 temperature: no ada_p: No Discriminator_loss: 1.61363 Generator_loss: 0.315324
[INFO] 2021-01-02 02:06:23 > Step: 40800 Progress: 40.8% Elapsed: 17:10:47 temperature: no ada_p: No Discriminator_loss: 1.18279 Generator_loss: 0.070231
[INFO] 2021-01-02 02:08:51 > Step: 40900 Progress: 40.9% Elapsed: 17:13:16 temperature: no ada_p: No Discriminator_loss: 1.3124 Generator_loss: 0.862399
[INFO] 2021-01-02 02:11:20 > Step: 41000 Progress: 41.0% Elapsed: 17:15:44 temperature: no ada_p: No Discriminator_loss: 1.17033 Generator_loss: 0.752773
[INFO] 2021-01-02 02:13:48 > Step: 41100 Progress: 41.1% Elapsed: 17:18:12 temperature: no ada_p: No Discriminator_loss: 1.76089 Generator_loss: -0.061201
[INFO] 2021-01-02 02:16:17 > Step: 41200 Progress: 41.2% Elapsed: 17:20:41 temperature: no ada_p: No Discriminator_loss: 1.27981 Generator_loss: 0.594546
[INFO] 2021-01-02 02:18:45 > Step: 41300 Progress: 41.3% Elapsed: 17:23:09 temperature: no ada_p: No Discriminator_loss: 1.13823 Generator_loss: 0.345655
[INFO] 2021-01-02 02:21:14 > Step: 41400 Progress: 41.4% Elapsed: 17:25:38 temperature: no ada_p: No Discriminator_loss: 1.57727 Generator_loss: 0.357628
[INFO] 2021-01-02 02:23:42 > Step: 41500 Progress: 41.5% Elapsed: 17:28:06 temperature: no ada_p: No Discriminator_loss: 1.2644 Generator_loss: 0.421606
[INFO] 2021-01-02 02:26:11 > Step: 41600 Progress: 41.6% Elapsed: 17:30:35 temperature: no ada_p: No Discriminator_loss: 1.11903 Generator_loss: 1.20899
[INFO] 2021-01-02 02:28:39 > Step: 41700 Progress: 41.7% Elapsed: 17:33:03 temperature: no ada_p: No Discriminator_loss: 1.2385 Generator_loss: 0.678616
[INFO] 2021-01-02 02:31:07 > Step: 41800 Progress: 41.8% Elapsed: 17:35:31 temperature: no ada_p: No Discriminator_loss: 1.30646 Generator_loss: -0.0320309
[INFO] 2021-01-02 02:33:36 > Step: 41900 Progress: 41.9% Elapsed: 17:38:00 temperature: no ada_p: No Discriminator_loss: 1.55943 Generator_loss: 0.489064
[INFO] 2021-01-02 02:36:04 > Step: 42000 Progress: 42.0% Elapsed: 17:40:29 temperature: no ada_p: No Discriminator_loss: 1.17913 Generator_loss: 0.428127
[INFO] 2021-01-02 02:36:04 > Start Evaluation (42000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 02:36:04 > Calculating FID Score....
[INFO] 2021-01-02 02:36:21 > Calculating Inception Score....
[INFO] 2021-01-02 02:36:27 > Calculate F_beta Score....
[INFO] 2021-01-02 02:36:50 > Calculate Accuracies....
[INFO] 2021-01-02 02:36:54 > Calculate Accuracies....
[INFO] 2021-01-02 02:36:55 > F_8 score (Step: 42000, Using valid images): 0.9161251855146338
[INFO] 2021-01-02 02:36:55 > F_1/8 score (Step: 42000, Using valid images): 0.9688437575534824
[INFO] 2021-01-02 02:36:55 > FID score (Step: 42000, Using valid moments): 24.52107019375029
[INFO] 2021-01-02 02:36:55 > Inception score (Step: 42000, 10000 generated images): 13.920466423034668
[INFO] 2021-01-02 02:36:55 > Best FID score (Step: 42000, Using valid moments): 24.52107019375029
[INFO] 2021-01-02 02:37:09 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 02:39:39 > Step: 42100 Progress: 42.1% Elapsed: 17:44:03 temperature: no ada_p: No Discriminator_loss: 1.17991 Generator_loss: 0.42223
[INFO] 2021-01-02 02:42:07 > Step: 42200 Progress: 42.2% Elapsed: 17:46:31 temperature: no ada_p: No Discriminator_loss: 1.65246 Generator_loss: 0.318573
[INFO] 2021-01-02 02:44:36 > Step: 42300 Progress: 42.3% Elapsed: 17:49:00 temperature: no ada_p: No Discriminator_loss: 1.58484 Generator_loss: 0.396736
[INFO] 2021-01-02 02:47:04 > Step: 42400 Progress: 42.4% Elapsed: 17:51:29 temperature: no ada_p: No Discriminator_loss: 1.34067 Generator_loss: -0.446565
[INFO] 2021-01-02 02:49:33 > Step: 42500 Progress: 42.5% Elapsed: 17:53:57 temperature: no ada_p: No Discriminator_loss: 1.22834 Generator_loss: 0.565852
[INFO] 2021-01-02 02:52:01 > Step: 42600 Progress: 42.6% Elapsed: 17:56:25 temperature: no ada_p: No Discriminator_loss: 1.42709 Generator_loss: 0.624949
[INFO] 2021-01-02 02:54:30 > Step: 42700 Progress: 42.7% Elapsed: 17:58:54 temperature: no ada_p: No Discriminator_loss: 1.35324 Generator_loss: 1.30279
[INFO] 2021-01-02 02:56:58 > Step: 42800 Progress: 42.8% Elapsed: 18:01:22 temperature: no ada_p: No Discriminator_loss: 1.25003 Generator_loss: 1.66139
[INFO] 2021-01-02 02:59:27 > Step: 42900 Progress: 42.9% Elapsed: 18:03:51 temperature: no ada_p: No Discriminator_loss: 1.07372 Generator_loss: 0.787004
[INFO] 2021-01-02 03:01:55 > Step: 43000 Progress: 43.0% Elapsed: 18:06:19 temperature: no ada_p: No Discriminator_loss: 1.7088 Generator_loss: 0.258425
[INFO] 2021-01-02 03:04:23 > Step: 43100 Progress: 43.1% Elapsed: 18:08:47 temperature: no ada_p: No Discriminator_loss: 1.45054 Generator_loss: -0.458471
[INFO] 2021-01-02 03:06:52 > Step: 43200 Progress: 43.2% Elapsed: 18:11:16 temperature: no ada_p: No Discriminator_loss: 1.57333 Generator_loss: 0.918287
[INFO] 2021-01-02 03:09:20 > Step: 43300 Progress: 43.3% Elapsed: 18:13:44 temperature: no ada_p: No Discriminator_loss: 1.49951 Generator_loss: 0.517306
[INFO] 2021-01-02 03:11:49 > Step: 43400 Progress: 43.4% Elapsed: 18:16:13 temperature: no ada_p: No Discriminator_loss: 1.10009 Generator_loss: 0.982093
[INFO] 2021-01-02 03:14:17 > Step: 43500 Progress: 43.5% Elapsed: 18:18:41 temperature: no ada_p: No Discriminator_loss: 1.14218 Generator_loss: 1.30044
[INFO] 2021-01-02 03:16:45 > Step: 43600 Progress: 43.6% Elapsed: 18:21:10 temperature: no ada_p: No Discriminator_loss: 1.45252 Generator_loss: -0.678366
[INFO] 2021-01-02 03:19:14 > Step: 43700 Progress: 43.7% Elapsed: 18:23:38 temperature: no ada_p: No Discriminator_loss: 1.72192 Generator_loss: 0.0567256
[INFO] 2021-01-02 03:21:43 > Step: 43800 Progress: 43.8% Elapsed: 18:26:07 temperature: no ada_p: No Discriminator_loss: 1.43046 Generator_loss: 0.996037
[INFO] 2021-01-02 03:24:11 > Step: 43900 Progress: 43.9% Elapsed: 18:28:35 temperature: no ada_p: No Discriminator_loss: 1.09749 Generator_loss: -0.388881
[INFO] 2021-01-02 03:26:39 > Step: 44000 Progress: 44.0% Elapsed: 18:31:03 temperature: no ada_p: No Discriminator_loss: 1.18758 Generator_loss: 0.25839
[INFO] 2021-01-02 03:26:39 > Start Evaluation (44000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 03:26:39 > Calculating FID Score....
[INFO] 2021-01-02 03:26:55 > Calculating Inception Score....
[INFO] 2021-01-02 03:27:01 > Calculate F_beta Score....
[INFO] 2021-01-02 03:27:22 > Calculate Accuracies....
[INFO] 2021-01-02 03:27:26 > Calculate Accuracies....
[INFO] 2021-01-02 03:27:28 > F_8 score (Step: 44000, Using valid images): 0.9256264237410617
[INFO] 2021-01-02 03:27:28 > F_1/8 score (Step: 44000, Using valid images): 0.9695833554587847
[INFO] 2021-01-02 03:27:28 > FID score (Step: 44000, Using valid moments): 24.12498105516397
[INFO] 2021-01-02 03:27:28 > Inception score (Step: 44000, 10000 generated images): 13.939194679260254
[INFO] 2021-01-02 03:27:28 > Best FID score (Step: 44000, Using valid moments): 24.12498105516397
[INFO] 2021-01-02 03:27:41 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 03:30:10 > Step: 44100 Progress: 44.1% Elapsed: 18:34:34 temperature: no ada_p: No Discriminator_loss: 1.05541 Generator_loss: 0.705544
[INFO] 2021-01-02 03:32:39 > Step: 44200 Progress: 44.2% Elapsed: 18:37:03 temperature: no ada_p: No Discriminator_loss: 1.32423 Generator_loss: -0.189385
[INFO] 2021-01-02 03:35:07 > Step: 44300 Progress: 44.3% Elapsed: 18:39:31 temperature: no ada_p: No Discriminator_loss: 1.47134 Generator_loss: 0.576149
[INFO] 2021-01-02 03:37:35 > Step: 44400 Progress: 44.4% Elapsed: 18:42:00 temperature: no ada_p: No Discriminator_loss: 1.31509 Generator_loss: 1.17207
[INFO] 2021-01-02 03:40:04 > Step: 44500 Progress: 44.5% Elapsed: 18:44:28 temperature: no ada_p: No Discriminator_loss: 1.24421 Generator_loss: -0.117114
[INFO] 2021-01-02 03:42:32 > Step: 44600 Progress: 44.6% Elapsed: 18:46:56 temperature: no ada_p: No Discriminator_loss: 1.26923 Generator_loss: 1.33258
[INFO] 2021-01-02 03:45:01 > Step: 44700 Progress: 44.7% Elapsed: 18:49:25 temperature: no ada_p: No Discriminator_loss: 1.23359 Generator_loss: 1.19383
[INFO] 2021-01-02 03:47:29 > Step: 44800 Progress: 44.8% Elapsed: 18:51:53 temperature: no ada_p: No Discriminator_loss: 1.3923 Generator_loss: -0.367797
[INFO] 2021-01-02 03:49:58 > Step: 44900 Progress: 44.9% Elapsed: 18:54:22 temperature: no ada_p: No Discriminator_loss: 1.20749 Generator_loss: 0.876605
[INFO] 2021-01-02 03:52:26 > Step: 45000 Progress: 45.0% Elapsed: 18:56:50 temperature: no ada_p: No Discriminator_loss: 1.1439 Generator_loss: 1.16678
[INFO] 2021-01-02 03:54:55 > Step: 45100 Progress: 45.1% Elapsed: 18:59:19 temperature: no ada_p: No Discriminator_loss: 1.44542 Generator_loss: 0.958023
[INFO] 2021-01-02 03:57:23 > Step: 45200 Progress: 45.2% Elapsed: 19:01:47 temperature: no ada_p: No Discriminator_loss: 1.25582 Generator_loss: 0.638375
[INFO] 2021-01-02 03:59:53 > Step: 45300 Progress: 45.3% Elapsed: 19:04:17 temperature: no ada_p: No Discriminator_loss: 1.13552 Generator_loss: 1.42812
[INFO] 2021-01-02 04:02:21 > Step: 45400 Progress: 45.4% Elapsed: 19:06:46 temperature: no ada_p: No Discriminator_loss: 1.0516 Generator_loss: 0.564135
[INFO] 2021-01-02 04:04:50 > Step: 45500 Progress: 45.5% Elapsed: 19:09:14 temperature: no ada_p: No Discriminator_loss: 1.35707 Generator_loss: 0.888068
[INFO] 2021-01-02 04:07:18 > Step: 45600 Progress: 45.6% Elapsed: 19:11:42 temperature: no ada_p: No Discriminator_loss: 1.21227 Generator_loss: -0.394564
[INFO] 2021-01-02 04:09:47 > Step: 45700 Progress: 45.7% Elapsed: 19:14:11 temperature: no ada_p: No Discriminator_loss: 1.10124 Generator_loss: 1.30182
[INFO] 2021-01-02 04:12:15 > Step: 45800 Progress: 45.8% Elapsed: 19:16:39 temperature: no ada_p: No Discriminator_loss: 1.42861 Generator_loss: 0.517724
[INFO] 2021-01-02 04:14:44 > Step: 45900 Progress: 45.9% Elapsed: 19:19:08 temperature: no ada_p: No Discriminator_loss: 1.28812 Generator_loss: 0.224841
[INFO] 2021-01-02 04:17:12 > Step: 46000 Progress: 46.0% Elapsed: 19:21:36 temperature: no ada_p: No Discriminator_loss: 1.28365 Generator_loss: 0.394174
[INFO] 2021-01-02 04:17:12 > Start Evaluation (46000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 04:17:12 > Calculating FID Score....
[INFO] 2021-01-02 04:17:28 > Calculating Inception Score....
[INFO] 2021-01-02 04:17:34 > Calculate F_beta Score....
[INFO] 2021-01-02 04:17:57 > Calculate Accuracies....
[INFO] 2021-01-02 04:18:00 > Calculate Accuracies....
[INFO] 2021-01-02 04:18:02 > F_8 score (Step: 46000, Using valid images): 0.9227306579779826
[INFO] 2021-01-02 04:18:02 > F_1/8 score (Step: 46000, Using valid images): 0.9682989887719461
[INFO] 2021-01-02 04:18:02 > FID score (Step: 46000, Using valid moments): 23.718932454269577
[INFO] 2021-01-02 04:18:02 > Inception score (Step: 46000, 10000 generated images): 13.66597843170166
[INFO] 2021-01-02 04:18:02 > Best FID score (Step: 46000, Using valid moments): 23.718932454269577
[INFO] 2021-01-02 04:18:16 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 04:20:44 > Step: 46100 Progress: 46.1% Elapsed: 19:25:08 temperature: no ada_p: No Discriminator_loss: 1.33418 Generator_loss: 0.696174
[INFO] 2021-01-02 04:23:13 > Step: 46200 Progress: 46.2% Elapsed: 19:27:37 temperature: no ada_p: No Discriminator_loss: 1.09927 Generator_loss: 0.36623
[INFO] 2021-01-02 04:25:41 > Step: 46300 Progress: 46.3% Elapsed: 19:30:05 temperature: no ada_p: No Discriminator_loss: 1.315 Generator_loss: -0.319453
[INFO] 2021-01-02 04:28:10 > Step: 46400 Progress: 46.4% Elapsed: 19:32:34 temperature: no ada_p: No Discriminator_loss: 1.22492 Generator_loss: 0.906836
[INFO] 2021-01-02 04:30:38 > Step: 46500 Progress: 46.5% Elapsed: 19:35:02 temperature: no ada_p: No Discriminator_loss: 1.01622 Generator_loss: 0.579386
[INFO] 2021-01-02 04:33:07 > Step: 46600 Progress: 46.6% Elapsed: 19:37:31 temperature: no ada_p: No Discriminator_loss: 1.20033 Generator_loss: 0.755113
[INFO] 2021-01-02 04:35:35 > Step: 46700 Progress: 46.7% Elapsed: 19:39:59 temperature: no ada_p: No Discriminator_loss: 1.45831 Generator_loss: 0.940941
[INFO] 2021-01-02 04:38:04 > Step: 46800 Progress: 46.8% Elapsed: 19:42:28 temperature: no ada_p: No Discriminator_loss: 1.5045 Generator_loss: 0.747122
[INFO] 2021-01-02 04:40:32 > Step: 46900 Progress: 46.9% Elapsed: 19:44:56 temperature: no ada_p: No Discriminator_loss: 1.68487 Generator_loss: 0.0694472
[INFO] 2021-01-02 04:43:01 > Step: 47000 Progress: 47.0% Elapsed: 19:47:25 temperature: no ada_p: No Discriminator_loss: 1.13211 Generator_loss: 0.713104
[INFO] 2021-01-02 04:45:29 > Step: 47100 Progress: 47.1% Elapsed: 19:49:53 temperature: no ada_p: No Discriminator_loss: 1.51631 Generator_loss: 0.328043
[INFO] 2021-01-02 04:47:58 > Step: 47200 Progress: 47.2% Elapsed: 19:52:22 temperature: no ada_p: No Discriminator_loss: 1.26396 Generator_loss: -0.211237
[INFO] 2021-01-02 04:50:26 > Step: 47300 Progress: 47.3% Elapsed: 19:54:50 temperature: no ada_p: No Discriminator_loss: 1.20454 Generator_loss: -0.234615
[INFO] 2021-01-02 04:52:55 > Step: 47400 Progress: 47.4% Elapsed: 19:57:19 temperature: no ada_p: No Discriminator_loss: 1.44722 Generator_loss: 0.944429
[INFO] 2021-01-02 04:55:23 > Step: 47500 Progress: 47.5% Elapsed: 19:59:47 temperature: no ada_p: No Discriminator_loss: 1.0152 Generator_loss: 0.492806
[INFO] 2021-01-02 04:57:52 > Step: 47600 Progress: 47.6% Elapsed: 20:02:16 temperature: no ada_p: No Discriminator_loss: 1.24181 Generator_loss: 0.434142
[INFO] 2021-01-02 05:00:20 > Step: 47700 Progress: 47.7% Elapsed: 20:04:44 temperature: no ada_p: No Discriminator_loss: 1.02072 Generator_loss: 0.718979
[INFO] 2021-01-02 05:02:48 > Step: 47800 Progress: 47.8% Elapsed: 20:07:12 temperature: no ada_p: No Discriminator_loss: 1.17081 Generator_loss: 0.34863
[INFO] 2021-01-02 05:05:17 > Step: 47900 Progress: 47.9% Elapsed: 20:09:41 temperature: no ada_p: No Discriminator_loss: 1.28126 Generator_loss: -0.403207
[INFO] 2021-01-02 05:07:46 > Step: 48000 Progress: 48.0% Elapsed: 20:12:10 temperature: no ada_p: No Discriminator_loss: 1.20837 Generator_loss: 0.844214
[INFO] 2021-01-02 05:07:46 > Start Evaluation (48000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 05:07:46 > Calculating FID Score....
[INFO] 2021-01-02 05:08:02 > Calculating Inception Score....
[INFO] 2021-01-02 05:08:07 > Calculate F_beta Score....
[INFO] 2021-01-02 05:08:30 > Calculate Accuracies....
[INFO] 2021-01-02 05:08:33 > Calculate Accuracies....
[INFO] 2021-01-02 05:08:35 > F_8 score (Step: 48000, Using valid images): 0.9287353999927409
[INFO] 2021-01-02 05:08:35 > F_1/8 score (Step: 48000, Using valid images): 0.9683710739588295
[INFO] 2021-01-02 05:08:35 > FID score (Step: 48000, Using valid moments): 23.625902400732343
[INFO] 2021-01-02 05:08:35 > Inception score (Step: 48000, 10000 generated images): 14.394957542419434
[INFO] 2021-01-02 05:08:35 > Best FID score (Step: 48000, Using valid moments): 23.625902400732343
[INFO] 2021-01-02 05:08:48 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 05:11:17 > Step: 48100 Progress: 48.1% Elapsed: 20:15:41 temperature: no ada_p: No Discriminator_loss: 1.32339 Generator_loss: 0.759484
[INFO] 2021-01-02 05:13:45 > Step: 48200 Progress: 48.2% Elapsed: 20:18:09 temperature: no ada_p: No Discriminator_loss: 1.01389 Generator_loss: 0.914706
[INFO] 2021-01-02 05:16:13 > Step: 48300 Progress: 48.3% Elapsed: 20:20:38 temperature: no ada_p: No Discriminator_loss: 1.56335 Generator_loss: 0.433412
[INFO] 2021-01-02 05:18:42 > Step: 48400 Progress: 48.4% Elapsed: 20:23:06 temperature: no ada_p: No Discriminator_loss: 1.16822 Generator_loss: 0.189249
[INFO] 2021-01-02 05:21:11 > Step: 48500 Progress: 48.5% Elapsed: 20:25:35 temperature: no ada_p: No Discriminator_loss: 1.65722 Generator_loss: 0.375332
[INFO] 2021-01-02 05:23:40 > Step: 48600 Progress: 48.6% Elapsed: 20:28:04 temperature: no ada_p: No Discriminator_loss: 1.45554 Generator_loss: 0.691533
[INFO] 2021-01-02 05:26:08 > Step: 48700 Progress: 48.7% Elapsed: 20:30:33 temperature: no ada_p: No Discriminator_loss: 1.21602 Generator_loss: -0.125953
[INFO] 2021-01-02 05:28:37 > Step: 48800 Progress: 48.8% Elapsed: 20:33:01 temperature: no ada_p: No Discriminator_loss: 1.08173 Generator_loss: 1.12622
[INFO] 2021-01-02 05:31:06 > Step: 48900 Progress: 48.9% Elapsed: 20:35:30 temperature: no ada_p: No Discriminator_loss: 1.17939 Generator_loss: 0.655913
[INFO] 2021-01-02 05:33:34 > Step: 49000 Progress: 49.0% Elapsed: 20:37:58 temperature: no ada_p: No Discriminator_loss: 1.23915 Generator_loss: -0.390427
[INFO] 2021-01-02 05:36:03 > Step: 49100 Progress: 49.1% Elapsed: 20:40:27 temperature: no ada_p: No Discriminator_loss: 1.14042 Generator_loss: 1.43278
[INFO] 2021-01-02 05:38:32 > Step: 49200 Progress: 49.2% Elapsed: 20:42:56 temperature: no ada_p: No Discriminator_loss: 0.920261 Generator_loss: 1.70248
[INFO] 2021-01-02 05:41:00 > Step: 49300 Progress: 49.3% Elapsed: 20:45:24 temperature: no ada_p: No Discriminator_loss: 1.55554 Generator_loss: 0.491231
[INFO] 2021-01-02 05:43:28 > Step: 49400 Progress: 49.4% Elapsed: 20:47:53 temperature: no ada_p: No Discriminator_loss: 1.20561 Generator_loss: 0.16926
[INFO] 2021-01-02 05:45:57 > Step: 49500 Progress: 49.5% Elapsed: 20:50:21 temperature: no ada_p: No Discriminator_loss: 1.31222 Generator_loss: 0.84962
[INFO] 2021-01-02 05:48:25 > Step: 49600 Progress: 49.6% Elapsed: 20:52:49 temperature: no ada_p: No Discriminator_loss: 1.49284 Generator_loss: 0.371696
[INFO] 2021-01-02 05:50:54 > Step: 49700 Progress: 49.7% Elapsed: 20:55:18 temperature: no ada_p: No Discriminator_loss: 1.36569 Generator_loss: 0.719291
[INFO] 2021-01-02 05:53:22 > Step: 49800 Progress: 49.8% Elapsed: 20:57:46 temperature: no ada_p: No Discriminator_loss: 1.30979 Generator_loss: -0.58124
[INFO] 2021-01-02 05:55:50 > Step: 49900 Progress: 49.9% Elapsed: 21:00:14 temperature: no ada_p: No Discriminator_loss: 1.2775 Generator_loss: 0.820787
[INFO] 2021-01-02 05:58:19 > Step: 50000 Progress: 50.0% Elapsed: 21:02:43 temperature: no ada_p: No Discriminator_loss: 0.961256 Generator_loss: 0.635721
[INFO] 2021-01-02 05:58:19 > Start Evaluation (50000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 05:58:19 > Calculating FID Score....
[INFO] 2021-01-02 05:58:35 > Calculating Inception Score....
[INFO] 2021-01-02 05:58:41 > Calculate F_beta Score....
[INFO] 2021-01-02 05:59:02 > Calculate Accuracies....
[INFO] 2021-01-02 05:59:06 > Calculate Accuracies....
[INFO] 2021-01-02 05:59:08 > F_8 score (Step: 50000, Using valid images): 0.9198999190804155
[INFO] 2021-01-02 05:59:08 > F_1/8 score (Step: 50000, Using valid images): 0.9717059588453241
[INFO] 2021-01-02 05:59:08 > FID score (Step: 50000, Using valid moments): 23.058619901256066
[INFO] 2021-01-02 05:59:08 > Inception score (Step: 50000, 10000 generated images): 14.428370475769043
[INFO] 2021-01-02 05:59:08 > Best FID score (Step: 50000, Using valid moments): 23.058619901256066
[INFO] 2021-01-02 05:59:21 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 06:01:50 > Step: 50100 Progress: 50.1% Elapsed: 21:06:14 temperature: no ada_p: No Discriminator_loss: 0.955618 Generator_loss: 0.660965
[INFO] 2021-01-02 06:04:18 > Step: 50200 Progress: 50.2% Elapsed: 21:08:43 temperature: no ada_p: No Discriminator_loss: 1.00097 Generator_loss: 1.33502
[INFO] 2021-01-02 06:06:47 > Step: 50300 Progress: 50.3% Elapsed: 21:11:11 temperature: no ada_p: No Discriminator_loss: 1.29362 Generator_loss: -0.353632
[INFO] 2021-01-02 06:09:15 > Step: 50400 Progress: 50.4% Elapsed: 21:13:39 temperature: no ada_p: No Discriminator_loss: 1.18148 Generator_loss: 1.50442
[INFO] 2021-01-02 06:11:44 > Step: 50500 Progress: 50.5% Elapsed: 21:16:08 temperature: no ada_p: No Discriminator_loss: 1.51386 Generator_loss: 0.477309
[INFO] 2021-01-02 06:14:12 > Step: 50600 Progress: 50.6% Elapsed: 21:18:36 temperature: no ada_p: No Discriminator_loss: 1.13448 Generator_loss: 0.762987
[INFO] 2021-01-02 06:16:41 > Step: 50700 Progress: 50.7% Elapsed: 21:21:05 temperature: no ada_p: No Discriminator_loss: 1.36988 Generator_loss: 0.883536
[INFO] 2021-01-02 06:19:09 > Step: 50800 Progress: 50.8% Elapsed: 21:23:33 temperature: no ada_p: No Discriminator_loss: 1.11678 Generator_loss: 0.0311085
[INFO] 2021-01-02 06:21:38 > Step: 50900 Progress: 50.9% Elapsed: 21:26:02 temperature: no ada_p: No Discriminator_loss: 1.07324 Generator_loss: -0.0654868
[INFO] 2021-01-02 06:24:06 > Step: 51000 Progress: 51.0% Elapsed: 21:28:30 temperature: no ada_p: No Discriminator_loss: 1.07871 Generator_loss: 0.836245
[INFO] 2021-01-02 06:26:35 > Step: 51100 Progress: 51.1% Elapsed: 21:30:59 temperature: no ada_p: No Discriminator_loss: 1.10868 Generator_loss: 0.118064
[INFO] 2021-01-02 06:29:03 > Step: 51200 Progress: 51.2% Elapsed: 21:33:27 temperature: no ada_p: No Discriminator_loss: 1.48704 Generator_loss: 0.325865
[INFO] 2021-01-02 06:31:32 > Step: 51300 Progress: 51.3% Elapsed: 21:35:56 temperature: no ada_p: No Discriminator_loss: 1.16985 Generator_loss: 0.926348
[INFO] 2021-01-02 06:34:00 > Step: 51400 Progress: 51.4% Elapsed: 21:38:24 temperature: no ada_p: No Discriminator_loss: 1.42487 Generator_loss: 0.660954
[INFO] 2021-01-02 06:36:29 > Step: 51500 Progress: 51.5% Elapsed: 21:40:53 temperature: no ada_p: No Discriminator_loss: 1.01758 Generator_loss: 0.23054
[INFO] 2021-01-02 06:38:57 > Step: 51600 Progress: 51.6% Elapsed: 21:43:21 temperature: no ada_p: No Discriminator_loss: 1.22663 Generator_loss: 1.01533
[INFO] 2021-01-02 06:41:25 > Step: 51700 Progress: 51.7% Elapsed: 21:45:50 temperature: no ada_p: No Discriminator_loss: 1.19746 Generator_loss: -0.318099
[INFO] 2021-01-02 06:43:55 > Step: 51800 Progress: 51.8% Elapsed: 21:48:19 temperature: no ada_p: No Discriminator_loss: 1.31226 Generator_loss: 0.96547
[INFO] 2021-01-02 06:46:23 > Step: 51900 Progress: 51.9% Elapsed: 21:50:48 temperature: no ada_p: No Discriminator_loss: 1.12041 Generator_loss: 0.183819
[INFO] 2021-01-02 06:48:52 > Step: 52000 Progress: 52.0% Elapsed: 21:53:16 temperature: no ada_p: No Discriminator_loss: 1.04017 Generator_loss: 0.886965
[INFO] 2021-01-02 06:48:52 > Start Evaluation (52000 Step): CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 06:48:52 > Calculating FID Score....
[INFO] 2021-01-02 06:49:08 > Calculating Inception Score....
[INFO] 2021-01-02 06:49:14 > Calculate F_beta Score....
[INFO] 2021-01-02 06:49:35 > Calculate Accuracies....
[INFO] 2021-01-02 06:49:39 > Calculate Accuracies....
[INFO] 2021-01-02 06:49:41 > F_8 score (Step: 52000, Using valid images): 0.9275372799108043
[INFO] 2021-01-02 06:49:41 > F_1/8 score (Step: 52000, Using valid images): 0.9637406979778533
[INFO] 2021-01-02 06:49:41 > FID score (Step: 52000, Using valid moments): 22.89457830606392
[INFO] 2021-01-02 06:49:41 > Inception score (Step: 52000, 10000 generated images): 14.311234474182129
[INFO] 2021-01-02 06:49:41 > Best FID score (Step: 52000, Using valid moments): 22.89457830606392
[INFO] 2021-01-02 06:49:55 > Save model to checkpoints/CRGAN(P)-train-2021_01_01_08_55_18
[INFO] 2021-01-02 06:52:23 > Step: 52100 Progress: 52.1% Elapsed: 21:56:48 temperature: no ada_p: No Discriminator_loss: 1.08675 Generator_loss: 1.30201