-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathreport.txt
2634 lines (2102 loc) · 193 KB
/
report.txt
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
TensorFlow 2.0 Upgrade Script
-----------------------------
Converted 177 files
Detected 53 issues that require attention
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
File: object_detection/create_pascal_tf_record_test.py
--------------------------------------------------------------------------------
object_detection/create_pascal_tf_record_test.py:44:4: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
File: object_detection/evaluator.py
--------------------------------------------------------------------------------
object_detection/evaluator.py:31:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/eval_util.py
--------------------------------------------------------------------------------
object_detection/eval_util.py:30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/eval_util.py:378:7: ERROR: Using member tf.contrib.slim.queues.QueueRunners in deprecated module tf.contrib. tf.contrib.slim.queues.QueueRunners cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/exporter.py
--------------------------------------------------------------------------------
object_detection/exporter.py:30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/exporter_test.py
--------------------------------------------------------------------------------
object_detection/exporter_test.py:31:12: WARNING: tf.get_variable requires manual check. tf.get_variable returns ResourceVariables by default in 2.0, which have well-defined semantics and are stricter about shapes. You can disable this behavior by passing use_resource=False, or by calling tf.compat.v1.disable_resource_variables().
object_detection/exporter_test.py:69:8: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
File: object_detection/export_inference_graph.py
--------------------------------------------------------------------------------
object_detection/export_inference_graph.py:60:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/trainer.py
--------------------------------------------------------------------------------
object_detection/trainer.py:35:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/trainer_test.py
--------------------------------------------------------------------------------
object_detection/trainer_test.py:79:23: ERROR: Using member tf.contrib.layers.flatten in deprecated module tf.contrib. tf.contrib.layers.flatten cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/trainer_test.py:80:23: ERROR: Using member tf.contrib.layers.fully_connected in deprecated module tf.contrib. tf.contrib.layers.fully_connected cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/trainer_test.py:82:21: ERROR: Using member tf.contrib.layers.fully_connected in deprecated module tf.contrib. tf.contrib.layers.fully_connected cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/builders/hyperparams_builder.py
--------------------------------------------------------------------------------
object_detection/builders/hyperparams_builder.py:21:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/builders/hyperparams_builder_test.py
--------------------------------------------------------------------------------
object_detection/builders/hyperparams_builder_test.py:27:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/builders/hyperparams_builder_test.py:330:14: WARNING: tf.get_variable requires manual check. tf.get_variable returns ResourceVariables by default in 2.0, which have well-defined semantics and are stricter about shapes. You can disable this behavior by passing use_resource=False, or by calling tf.compat.v1.disable_resource_variables().
--------------------------------------------------------------------------------
File: object_detection/builders/input_reader_builder.py
--------------------------------------------------------------------------------
object_detection/builders/input_reader_builder.py:31:18: ERROR: Using member tf.contrib.slim.parallel_reader in deprecated module tf.contrib. tf.contrib.slim.parallel_reader cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/builders/optimizer_builder.py
--------------------------------------------------------------------------------
object_detection/builders/optimizer_builder.py:21:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/builders/optimizer_builder.py:63:16: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
object_detection/builders/optimizer_builder.py:63:16: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/builders/optimizer_builder_test.py
--------------------------------------------------------------------------------
object_detection/builders/optimizer_builder_test.py:163:30: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
object_detection/builders/optimizer_builder_test.py:163:30: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/builders/optimizer_builder_test.py:182:30: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
object_detection/builders/optimizer_builder_test.py:182:30: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/core/batcher_test.py
--------------------------------------------------------------------------------
object_detection/core/batcher_test.py:23:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/core/box_predictor.py
--------------------------------------------------------------------------------
object_detection/core/box_predictor.py:34:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/core/losses.py
--------------------------------------------------------------------------------
object_detection/core/losses.py:37:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/core/prefetcher_test.py
--------------------------------------------------------------------------------
object_detection/core/prefetcher_test.py:21:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/core/preprocessor.py
--------------------------------------------------------------------------------
object_detection/core/preprocessor.py:397:14: WARNING: tf.image.resize_nearest_neighbor called with align_corners argument, requires manual check: align_corners is not supported by tf.image.resize, the new default transformation is close to what v1 provided. If you require exactly the same transformation as before, use compat.v1.image.resize_nearest_neighbor.
object_detection/core/preprocessor.py:1344:20: WARNING: tf.image.resize_nearest_neighbor called with align_corners argument, requires manual check: align_corners is not supported by tf.image.resize, the new default transformation is close to what v1 provided. If you require exactly the same transformation as before, use compat.v1.image.resize_nearest_neighbor.
object_detection/core/preprocessor.py:1412:20: WARNING: tf.image.resize_nearest_neighbor called with align_corners argument, requires manual check: align_corners is not supported by tf.image.resize, the new default transformation is close to what v1 provided. If you require exactly the same transformation as before, use compat.v1.image.resize_nearest_neighbor.
--------------------------------------------------------------------------------
File: object_detection/data_decoders/tf_example_decoder.py
--------------------------------------------------------------------------------
object_detection/data_decoders/tf_example_decoder.py:26:23: ERROR: Using member tf.contrib.slim.tfexample_decoder in deprecated module tf.contrib. tf.contrib.slim.tfexample_decoder cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/meta_architectures/faster_rcnn_meta_arch.py
--------------------------------------------------------------------------------
object_detection/meta_architectures/faster_rcnn_meta_arch.py:85:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/meta_architectures/faster_rcnn_meta_arch.py:1442:28: ERROR: Using member tf.contrib.framework.filter_variables in deprecated module tf.contrib. tf.contrib.framework.filter_variables cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
--------------------------------------------------------------------------------
object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py:30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py:974:27: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py:1011:27: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
File: object_detection/meta_architectures/ssd_meta_arch.py
--------------------------------------------------------------------------------
object_detection/meta_architectures/ssd_meta_arch.py:34:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/meta_architectures/ssd_meta_arch_test.py
--------------------------------------------------------------------------------
object_detection/meta_architectures/ssd_meta_arch_test.py:30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
object_detection/meta_architectures/ssd_meta_arch_test.py:216:25: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
object_detection/meta_architectures/ssd_meta_arch_test.py:237:27: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
File: object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py
--------------------------------------------------------------------------------
object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py:31:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
--------------------------------------------------------------------------------
object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py:33:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/models/feature_map_generators.py
--------------------------------------------------------------------------------
object_detection/models/feature_map_generators.py:29:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/models/ssd_inception_v2_feature_extractor.py
--------------------------------------------------------------------------------
object_detection/models/ssd_inception_v2_feature_extractor.py:23:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/models/ssd_mobilenet_v1_feature_extractor.py
--------------------------------------------------------------------------------
object_detection/models/ssd_mobilenet_v1_feature_extractor.py:24:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/utils/ops.py
--------------------------------------------------------------------------------
object_detection/utils/ops.py:447:18: ERROR: Using member tf.contrib.framework.model_variable in deprecated module tf.contrib. tf.contrib.framework.model_variable cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/utils/ops_test.py
--------------------------------------------------------------------------------
object_detection/utils/ops_test.py:651:17: ERROR: Using member tf.contrib.framework.get_variables in deprecated module tf.contrib. tf.contrib.framework.get_variables cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/utils/variables_helper.py
--------------------------------------------------------------------------------
object_detection/utils/variables_helper.py:23:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
File: object_detection/utils/variables_helper_test.py
--------------------------------------------------------------------------------
object_detection/utils/variables_helper_test.py:141:6: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
object_detection/utils/variables_helper_test.py:155:6: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
object_detection/utils/variables_helper_test.py:171:6: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
File: object_detection/utils/visualization_utils.py
--------------------------------------------------------------------------------
object_detection/utils/visualization_utils.py:70:4: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
object_detection/utils/visualization_utils.py:84:2: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
================================================================================
Detailed log follows:
================================================================================
================================================================================
Input tree: 'object_detection/'
================================================================================
--------------------------------------------------------------------------------
Processing file 'object_detection/eval.py'
outputting to 'object_detection/eval.py'
--------------------------------------------------------------------------------
59:0: INFO: Renamed 'tf.logging.set_verbosity' to 'tf.compat.v1.logging.set_verbosity'
59:25: INFO: Renamed 'tf.logging.INFO' to 'tf.compat.v1.logging.INFO'
61:8: INFO: Renamed 'tf.app.flags' to 'tf.compat.v1.app.flags'
93:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
120:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
124:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
128:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
161:2: INFO: Renamed 'tf.app.run' to 'tf.compat.v1.app.run'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/create_pascal_tf_record.py'
outputting to 'object_detection/create_pascal_tf_record.py'
--------------------------------------------------------------------------------
40:8: INFO: Renamed 'tf.app.flags' to 'tf.compat.v1.app.flags'
86:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
154:11: INFO: Renamed 'tf.python_io.TFRecordWriter' to 'tf.io.TFRecordWriter'
168:11: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
181:2: INFO: Renamed 'tf.app.run' to 'tf.compat.v1.app.run'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/create_pascal_tf_record_test.py'
outputting to 'object_detection/create_pascal_tf_record_test.py'
--------------------------------------------------------------------------------
44:4: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/create_pet_tf_record.py'
outputting to 'object_detection/create_pet_tf_record.py'
--------------------------------------------------------------------------------
42:8: INFO: Renamed 'tf.app.flags' to 'tf.compat.v1.app.flags'
89:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
161:11: INFO: Renamed 'tf.python_io.TFRecordWriter' to 'tf.io.TFRecordWriter'
170:9: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
211:2: INFO: Renamed 'tf.app.run' to 'tf.compat.v1.app.run'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/evaluator.py'
outputting to 'object_detection/evaluator.py'
--------------------------------------------------------------------------------
31:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
55:40: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
59:25: INFO: Added keywords to args of function 'tf.shape'
83:31: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
92:36: INFO: Added keywords to args of function 'tf.shape'
93:36: INFO: Added keywords to args of function 'tf.shape'
166:18: INFO: Renamed 'tf.train.global_step' to 'tf.compat.v1.train.global_step'
183:25: INFO: Renamed 'tf.global_variables' to 'tf.compat.v1.global_variables'
189:10: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/eval_util.py'
outputting to 'object_detection/eval_util.py'
--------------------------------------------------------------------------------
30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
42:19: INFO: tf.summary.FileWriter requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
42:19: INFO: Renamed 'tf.summary.FileWriter' to 'tf.compat.v1.summary.FileWriter'
44:14: INFO: Renamed 'tf.Summary' to 'tf.compat.v1.Summary'
45:8: INFO: Renamed 'tf.Summary' to 'tf.compat.v1.Summary'
267:12: INFO: Renamed 'tf.Summary' to 'tf.compat.v1.Summary'
268:6: INFO: Renamed 'tf.Summary' to 'tf.compat.v1.Summary'
268:38: INFO: Renamed 'tf.Summary' to 'tf.compat.v1.Summary'
272:19: INFO: tf.summary.FileWriter requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
272:19: INFO: Renamed 'tf.summary.FileWriter' to 'tf.compat.v1.summary.FileWriter'
359:9: INFO: Renamed 'tf.Session' to 'tf.compat.v1.Session'
359:34: INFO: Renamed 'tf.get_default_graph' to 'tf.compat.v1.get_default_graph'
360:11: INFO: Renamed 'tf.global_variables_initializer' to 'tf.compat.v1.global_variables_initializer'
361:11: INFO: Renamed 'tf.local_variables_initializer' to 'tf.compat.v1.local_variables_initializer'
368:12: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
372:4: INFO: Renamed 'tf.train.write_graph' to 'tf.io.write_graph'
378:7: ERROR: Using member tf.contrib.slim.queues.QueueRunners in deprecated module tf.contrib. tf.contrib.slim.queues.QueueRunners cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
407:20: INFO: Renamed 'tf.train.global_step' to 'tf.compat.v1.train.global_step'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/exporter.py'
outputting to 'object_detection/exporter.py'
--------------------------------------------------------------------------------
30:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
102:27: INFO: Renamed 'tf.placeholder' to 'tf.compat.v1.placeholder'
111:9: INFO: Renamed 'tf.placeholder' to 'tf.compat.v1.placeholder'
173:24: INFO: Renamed 'tf.get_default_graph' to 'tf.compat.v1.get_default_graph'
179:14: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
181:14: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
193:2: INFO: Renamed 'tf.train.write_graph' to 'tf.io.write_graph'
206:11: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/exporter_test.py'
outputting to 'object_detection/exporter_test.py'
--------------------------------------------------------------------------------
31:12: WARNING: tf.get_variable requires manual check. tf.get_variable returns ResourceVariables by default in 2.0, which have well-defined semantics and are stricter about shapes. You can disable this behavior by passing use_resource=False, or by calling tf.compat.v1.disable_resource_variables().
31:12: INFO: Renamed 'tf.get_variable' to 'tf.compat.v1.get_variable'
32:40: INFO: tf.constant_initializer requires manual check. Initializers no longer have the dtype argument in the constructor or partition_info argument in the __call__ method.
The calls have been converted to compat.v1 for safety (even though they may already have been correct).
32:40: INFO: Renamed 'tf.constant_initializer' to 'tf.compat.v1.constant_initializer'
65:14: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
66:13: INFO: Renamed 'tf.global_variables_initializer' to 'tf.compat.v1.global_variables_initializer'
69:8: WARNING: *.save requires manual check. (This warning is only applicable if the code saves a tf.Keras model) Keras model.save now saves to the Tensorflow SavedModel format by default, instead of HDF5. To continue saving to HDF5, add the argument save_format='h5' to the save() function.
74:21: INFO: Renamed 'tf.GraphDef' to 'tf.compat.v1.GraphDef'
75:11: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/export_inference_graph.py'
outputting to 'object_detection/export_inference_graph.py'
--------------------------------------------------------------------------------
60:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
61:8: INFO: Renamed 'tf.app.flags' to 'tf.compat.v1.app.flags'
82:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
90:2: INFO: Renamed 'tf.app.run' to 'tf.compat.v1.app.run'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/train.py'
outputting to 'object_detection/train.py'
--------------------------------------------------------------------------------
59:0: INFO: Renamed 'tf.logging.set_verbosity' to 'tf.compat.v1.logging.set_verbosity'
59:25: INFO: Renamed 'tf.logging.INFO' to 'tf.compat.v1.logging.INFO'
61:8: INFO: Renamed 'tf.app.flags' to 'tf.compat.v1.app.flags'
102:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
126:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
130:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
134:7: INFO: Renamed 'tf.gfile.GFile' to 'tf.io.gfile.GFile'
180:13: INFO: Renamed 'tf.train.Server' to 'tf.distribute.Server'
198:2: INFO: Renamed 'tf.app.run' to 'tf.compat.v1.app.run'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/trainer.py'
outputting to 'object_detection/trainer.py'
--------------------------------------------------------------------------------
35:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
65:17: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
135:4: INFO: tf.losses.add_loss requires manual check. tf.losses have been replaced with object oriented versions in TF 2.0 and after. The loss function calls have been converted to compat.v1 for backward compatibility. Please update these calls to the TF 2.0 versions.
135:4: INFO: Renamed 'tf.losses.add_loss' to 'tf.compat.v1.losses.add_loss'
187:20: INFO: Renamed 'tf.get_collection' to 'tf.compat.v1.get_collection'
187:38: INFO: Renamed 'tf.GraphKeys' to 'tf.compat.v1.GraphKeys'
197:17: INFO: Renamed 'tf.get_collection' to 'tf.compat.v1.get_collection'
197:35: INFO: Renamed 'tf.GraphKeys' to 'tf.compat.v1.GraphKeys'
221:19: INFO: Renamed 'tf.check_numerics' to 'tf.debugging.check_numerics'
238:13: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
238:13: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
253:27: INFO: tf.summary.histogram requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
253:27: INFO: Renamed 'tf.summary.histogram' to 'tf.compat.v1.summary.histogram'
254:23: INFO: tf.losses.get_losses requires manual check. tf.losses have been replaced with object oriented versions in TF 2.0 and after. The loss function calls have been converted to compat.v1 for backward compatibility. Please update these calls to the TF 2.0 versions.
254:23: INFO: Renamed 'tf.losses.get_losses' to 'tf.compat.v1.losses.get_losses'
255:27: INFO: tf.summary.scalar requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
255:27: INFO: Renamed 'tf.summary.scalar' to 'tf.compat.v1.summary.scalar'
257:8: INFO: tf.summary.scalar requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
257:8: INFO: Renamed 'tf.summary.scalar' to 'tf.compat.v1.summary.scalar'
257:39: INFO: tf.losses.get_total_loss requires manual check. tf.losses have been replaced with object oriented versions in TF 2.0 and after. The loss function calls have been converted to compat.v1 for backward compatibility. Please update these calls to the TF 2.0 versions.
257:39: INFO: Renamed 'tf.losses.get_total_loss' to 'tf.compat.v1.losses.get_total_loss'
261:21: INFO: Renamed 'tf.get_collection' to 'tf.compat.v1.get_collection'
261:39: INFO: Renamed 'tf.GraphKeys' to 'tf.compat.v1.GraphKeys'
266:17: INFO: tf.summary.merge requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
266:17: INFO: Renamed 'tf.summary.merge' to 'tf.compat.v1.summary.merge'
269:21: INFO: Renamed 'tf.ConfigProto' to 'tf.compat.v1.ConfigProto'
274:12: INFO: Renamed 'tf.train.Saver' to 'tf.compat.v1.train.Saver'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/trainer_test.py'
outputting to 'object_detection/trainer_test.py'
--------------------------------------------------------------------------------
34:10: INFO: Renamed 'tf.random_uniform' to 'tf.random.uniform'
35:16: INFO: Renamed 'tf.random_uniform' to 'tf.random.uniform'
37:14: INFO: Renamed 'tf.random_uniform' to 'tf.random.uniform'
67:11: INFO: Renamed 'tf.image.resize_images' to 'tf.image.resize'
79:23: ERROR: Using member tf.contrib.layers.flatten in deprecated module tf.contrib. tf.contrib.layers.flatten cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
80:23: ERROR: Using member tf.contrib.layers.fully_connected in deprecated module tf.contrib. tf.contrib.layers.fully_connected cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
82:21: ERROR: Using member tf.contrib.layers.fully_connected in deprecated module tf.contrib. tf.contrib.layers.fully_connected cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
137:29: INFO: Added keywords to args of function 'tf.reduce_sum'
138:31: INFO: Added keywords to args of function 'tf.reduce_sum'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/__init__.py'
outputting to 'object_detection/__init__.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/anchor_generators/grid_anchor_generator.py'
outputting to 'object_detection/anchor_generators/grid_anchor_generator.py'
--------------------------------------------------------------------------------
167:14: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
169:14: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/anchor_generators/grid_anchor_generator_test.py'
outputting to 'object_detection/anchor_generators/grid_anchor_generator_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/anchor_generators/multiple_grid_anchor_generator.py'
outputting to 'object_detection/anchor_generators/multiple_grid_anchor_generator.py'
--------------------------------------------------------------------------------
172:25: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
172:50: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
173:25: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
173:49: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
188:19: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
208:10: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/anchor_generators/multiple_grid_anchor_generator_test.py'
outputting to 'object_detection/anchor_generators/multiple_grid_anchor_generator_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/anchor_generators/__init__.py'
outputting to 'object_detection/anchor_generators/__init__.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/faster_rcnn_box_coder.py'
outputting to 'object_detection/box_coders/faster_rcnn_box_coder.py'
--------------------------------------------------------------------------------
82:9: INFO: Renamed 'tf.log' to 'tf.math.log'
83:9: INFO: Renamed 'tf.log' to 'tf.math.log'
90:11: INFO: Added keywords to args of function 'tf.transpose'
104:32: INFO: Added keywords to args of function 'tf.transpose'
118:28: INFO: Added keywords to args of function 'tf.transpose'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/faster_rcnn_box_coder_test.py'
outputting to 'object_detection/box_coders/faster_rcnn_box_coder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/keypoint_box_coder.py'
outputting to 'object_detection/box_coders/keypoint_box_coder.py'
--------------------------------------------------------------------------------
70:11: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
70:42: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
96:16: INFO: Added keywords to args of function 'tf.transpose'
108:9: INFO: Renamed 'tf.log' to 'tf.math.log'
109:9: INFO: Renamed 'tf.log' to 'tf.math.log'
126:11: INFO: Added keywords to args of function 'tf.transpose'
141:16: INFO: Added keywords to args of function 'tf.shape'
142:24: INFO: Added keywords to args of function 'tf.transpose'
161:8: INFO: Added keywords to args of function 'tf.transpose'
168:27: INFO: Added keywords to args of function 'tf.transpose'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/keypoint_box_coder_test.py'
outputting to 'object_detection/box_coders/keypoint_box_coder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/mean_stddev_box_coder.py'
outputting to 'object_detection/box_coders/mean_stddev_box_coder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/mean_stddev_box_coder_test.py'
outputting to 'object_detection/box_coders/mean_stddev_box_coder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/square_box_coder.py'
outputting to 'object_detection/box_coders/square_box_coder.py'
--------------------------------------------------------------------------------
93:9: INFO: Renamed 'tf.log' to 'tf.math.log'
99:11: INFO: Added keywords to args of function 'tf.transpose'
114:28: INFO: Added keywords to args of function 'tf.transpose'
126:28: INFO: Added keywords to args of function 'tf.transpose'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/square_box_coder_test.py'
outputting to 'object_detection/box_coders/square_box_coder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/box_coders/__init__.py'
outputting to 'object_detection/box_coders/__init__.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/model_builder.py'
outputting to 'object_detection/builders/model_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/anchor_generator_builder.py'
outputting to 'object_detection/builders/anchor_generator_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/anchor_generator_builder_test.py'
outputting to 'object_detection/builders/anchor_generator_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/box_coder_builder.py'
outputting to 'object_detection/builders/box_coder_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/box_coder_builder_test.py'
outputting to 'object_detection/builders/box_coder_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/box_predictor_builder.py'
outputting to 'object_detection/builders/box_predictor_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/box_predictor_builder_test.py'
outputting to 'object_detection/builders/box_predictor_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/hyperparams_builder.py'
outputting to 'object_detection/builders/hyperparams_builder.py'
--------------------------------------------------------------------------------
21:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
114:11: INFO: Renaming scale arg of regularizer
116:11: INFO: Multiplying scale arg of tf.contrib.layers.l2_regularizer by half to what tf.keras.regularizers.l2 expects.
134:11: INFO: tf.truncated_normal_initializer requires manual check. Initializers no longer have the dtype argument in the constructor or partition_info argument in the __call__ method.
The calls have been converted to compat.v1 for safety (even though they may already have been correct).
134:11: INFO: Renamed 'tf.truncated_normal_initializer' to 'tf.compat.v1.truncated_normal_initializer'
143:11: INFO: Changing tf.contrib.layers.variance_scaling_initializer to a tf.compat.v1.keras.initializers.VarianceScaling and converting arguments.
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/hyperparams_builder_test.py'
outputting to 'object_detection/builders/hyperparams_builder_test.py'
--------------------------------------------------------------------------------
27:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
330:14: WARNING: tf.get_variable requires manual check. tf.get_variable returns ResourceVariables by default in 2.0, which have well-defined semantics and are stricter about shapes. You can disable this behavior by passing use_resource=False, or by calling tf.compat.v1.disable_resource_variables().
330:14: INFO: Renamed 'tf.get_variable' to 'tf.compat.v1.get_variable'
335:17: INFO: Renamed 'tf.global_variables_initializer' to 'tf.compat.v1.global_variables_initializer'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/image_resizer_builder.py'
outputting to 'object_detection/builders/image_resizer_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/image_resizer_builder_test.py'
outputting to 'object_detection/builders/image_resizer_builder_test.py'
--------------------------------------------------------------------------------
30:13: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
30:25: INFO: Renamed 'tf.random_uniform' to 'tf.random.uniform'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/input_reader_builder.py'
outputting to 'object_detection/builders/input_reader_builder.py'
--------------------------------------------------------------------------------
31:18: ERROR: Using member tf.contrib.slim.parallel_reader in deprecated module tf.contrib. tf.contrib.slim.parallel_reader cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
54:21: INFO: Renamed 'tf.TFRecordReader' to 'tf.compat.v1.TFRecordReader'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/input_reader_builder_test.py'
outputting to 'object_detection/builders/input_reader_builder_test.py'
--------------------------------------------------------------------------------
35:13: INFO: Renamed 'tf.python_io.TFRecordWriter' to 'tf.io.TFRecordWriter'
75:9: INFO: Renamed 'tf.train.Supervisor' to 'tf.compat.v1.train.Supervisor'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/losses_builder.py'
outputting to 'object_detection/builders/losses_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/losses_builder_test.py'
outputting to 'object_detection/builders/losses_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/matcher_builder.py'
outputting to 'object_detection/builders/matcher_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/matcher_builder_test.py'
outputting to 'object_detection/builders/matcher_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/model_builder_test.py'
outputting to 'object_detection/builders/model_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/optimizer_builder.py'
outputting to 'object_detection/builders/optimizer_builder.py'
--------------------------------------------------------------------------------
21:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
42:16: INFO: Renamed 'tf.train.RMSPropOptimizer' to 'tf.compat.v1.train.RMSPropOptimizer'
50:16: INFO: Renamed 'tf.train.MomentumOptimizer' to 'tf.compat.v1.train.MomentumOptimizer'
56:16: INFO: Renamed 'tf.train.AdamOptimizer' to 'tf.compat.v1.train.AdamOptimizer'
63:16: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
63:16: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
90:20: INFO: tf.train.exponential_decay requires manual check. To use learning rate decay schedules with TensorFlow 2.0, switch to the schedules in `tf.keras.optimizers.schedules`.
90:20: INFO: Renamed 'tf.train.exponential_decay' to 'tf.compat.v1.train.exponential_decay'
111:23: INFO: tf.summary.scalar requires manual check. The TF 1.x summary API cannot be automatically migrated to TF 2.0, so symbols have been converted to tf.compat.v1.summary.* and must be migrated manually. Typical usage will only require changes to the summary writing logic, not to individual calls like scalar(). For examples of the new summary API, see the Effective TF 2.0 migration document or check the TF 2.0 TensorBoard tutorials.
111:23: INFO: Renamed 'tf.summary.scalar' to 'tf.compat.v1.summary.scalar'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/optimizer_builder_test.py'
outputting to 'object_detection/builders/optimizer_builder_test.py'
--------------------------------------------------------------------------------
110:42: INFO: Renamed 'tf.train.RMSPropOptimizer' to 'tf.compat.v1.train.RMSPropOptimizer'
128:42: INFO: Renamed 'tf.train.MomentumOptimizer' to 'tf.compat.v1.train.MomentumOptimizer'
145:42: INFO: Renamed 'tf.train.AdamOptimizer' to 'tf.compat.v1.train.AdamOptimizer'
163:30: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
163:30: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
182:30: WARNING: tf.contrib.opt.MovingAverageOptimizer requires manual check. (Manual edit required) `tf.contrib.opt.MovingAverageOptimizer` has been migrated to `tfa.optimizers.MovingAverage` in TensorFlow Addons. The API spec may have changed during the migration. Please see https://github.com/tensorflow/addons for more info.
182:30: ERROR: Using member tf.contrib.opt.MovingAverageOptimizer in deprecated module tf.contrib. tf.contrib.opt.MovingAverageOptimizer cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/post_processing_builder.py'
outputting to 'object_detection/builders/post_processing_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/post_processing_builder_test.py'
outputting to 'object_detection/builders/post_processing_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/preprocessor_builder.py'
outputting to 'object_detection/builders/preprocessor_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/preprocessor_builder_test.py'
outputting to 'object_detection/builders/preprocessor_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/region_similarity_calculator_builder.py'
outputting to 'object_detection/builders/region_similarity_calculator_builder.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/region_similarity_calculator_builder_test.py'
outputting to 'object_detection/builders/region_similarity_calculator_builder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/builders/__init__.py'
outputting to 'object_detection/builders/__init__.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/anchor_generator.py'
outputting to 'object_detection/core/anchor_generator.py'
--------------------------------------------------------------------------------
100:9: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
100:9: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
142:11: INFO: tf.assert_equal requires manual check. tf.assert_equal has been changed to return None, the data argument has been removed, and arguments have been reordered.
The calls have been converted to compat.v1 for safety (even though they may already have been correct).
142:11: INFO: Renamed 'tf.assert_equal' to 'tf.compat.v1.assert_equal'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/balanced_positive_negative_sampler.py'
outputting to 'object_detection/core/balanced_positive_negative_sampler.py'
--------------------------------------------------------------------------------
88:31: INFO: Added keywords to args of function 'tf.reduce_sum'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/balanced_positive_negative_sampler_test.py'
outputting to 'object_detection/core/balanced_positive_negative_sampler_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/batcher.py'
outputting to 'object_detection/core/batcher.py'
--------------------------------------------------------------------------------
84:34: INFO: Added keywords to args of function 'tf.shape'
88:22: INFO: Renamed 'tf.train.batch' to 'tf.compat.v1.train.batch'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/batcher_test.py'
outputting to 'object_detection/core/batcher_test.py'
--------------------------------------------------------------------------------
23:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
48:6: INFO: Renamed 'tf.initialize_all_variables' to 'tf.compat.v1.initialize_all_variables'
81:6: INFO: Renamed 'tf.initialize_all_variables' to 'tf.compat.v1.initialize_all_variables'
112:6: INFO: Renamed 'tf.initialize_all_variables' to 'tf.compat.v1.initialize_all_variables'
144:6: INFO: Renamed 'tf.initialize_all_variables' to 'tf.compat.v1.initialize_all_variables'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_coder.py'
outputting to 'object_detection/core/box_coder.py'
--------------------------------------------------------------------------------
71:9: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
71:9: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
85:9: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
85:9: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_coder_test.py'
outputting to 'object_detection/core/box_coder_test.py'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_list.py'
outputting to 'object_detection/core/box_list.py'
--------------------------------------------------------------------------------
65:11: INFO: Added keywords to args of function 'tf.shape'
167:9: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
167:9: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
169:42: INFO: Added keywords to args of function 'tf.transpose'
182:9: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
182:9: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_list_ops.py'
outputting to 'object_detection/core/box_list_ops.py'
--------------------------------------------------------------------------------
53:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
53:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
70:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
70:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
88:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
88:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
120:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
120:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
135:21: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
159:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
159:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
168:8: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
168:32: INFO: Added keywords to args of function 'tf.reduce_any'
190:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
190:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
199:8: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
199:32: INFO: Added keywords to args of function 'tf.reduce_any'
214:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
214:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
219:44: INFO: Added keywords to args of function 'tf.transpose'
220:44: INFO: Added keywords to args of function 'tf.transpose'
222:44: INFO: Added keywords to args of function 'tf.transpose'
223:44: INFO: Added keywords to args of function 'tf.transpose'
239:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
239:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
264:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
264:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
270:11: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
286:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
286:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
291:11: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
311:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
311:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
336:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
336:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
338:11: INFO: Added keywords to args of function 'tf.reduce_max'
338:11: INFO: Renamed keyword argument for tf.reduce_max from reduction_indices to axis
340:16: INFO: Renamed keyword argument for tf.squeeze from squeeze_dims to axis
340:27: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
356:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
356:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
360:38: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
383:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
383:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
414:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
414:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
415:14: INFO: Added keywords to args of function 'tf.reduce_sum'
415:14: INFO: Renamed keyword argument for tf.reduce_sum from keep_dims to keepdims
416:14: INFO: Added keywords to args of function 'tf.reduce_sum'
416:14: INFO: Renamed keyword argument for tf.reduce_sum from keep_dims to keepdims
419:21: INFO: Added keywords to args of function 'tf.transpose'
445:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
445:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
450:34: INFO: Added keywords to args of function 'tf.boolean_mask'
456:21: INFO: Added keywords to args of function 'tf.boolean_mask'
484:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
484:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
522:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
522:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
572:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
572:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
581:18: INFO: Added keywords to args of function 'tf.size'
592:23: INFO: Renamed 'tf.reverse_v2' to 'tf.reverse'
615:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
615:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
617:36: INFO: Added keywords to args of function 'tf.shape'
642:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
642:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
648:30: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
673:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
673:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
685:8: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
710:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
710:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
761:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
761:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
766:16: INFO: Added keywords to args of function 'tf.reduce_max'
793:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
793:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
799:20: INFO: Added keywords to args of function 'tf.reduce_max'
928:20: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
929:16: INFO: Added keywords to args of function 'tf.reduce_sum'
934:6: INFO: Added keywords to args of function 'tf.reduce_all'
940:6: INFO: Added keywords to args of function 'tf.reduce_all'
968:7: INFO: `name` passed to `name_scope`. Because you may be re-entering an existing scope, it is not safe to convert automatically, the v2 name_scope does not support re-entering scopes by name.
968:7: INFO: Renamed 'tf.name_scope' to 'tf.compat.v1.name_scope'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_list_ops_test.py'
outputting to 'object_detection/core/box_list_ops_test.py'
--------------------------------------------------------------------------------
417:25: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
503:25: INFO: Changed tf.to_float call to tf.cast(..., dtype=tf.float32).
504:19: INFO: Added keywords to args of function 'tf.reduce_sum'
791:17: INFO: Added keywords to args of function 'tf.shape'
791:35: INFO: Added keywords to args of function 'tf.shape'
805:17: INFO: Added keywords to args of function 'tf.shape'
805:35: INFO: Added keywords to args of function 'tf.shape'
817:60: INFO: Added keywords to args of function 'tf.shape'
818:60: INFO: Added keywords to args of function 'tf.shape'
832:60: INFO: Added keywords to args of function 'tf.shape'
833:60: INFO: Added keywords to args of function 'tf.shape'
848:53: INFO: Added keywords to args of function 'tf.shape'
849:53: INFO: Added keywords to args of function 'tf.shape'
851:51: INFO: Added keywords to args of function 'tf.shape'
852:51: INFO: Added keywords to args of function 'tf.shape'
866:51: INFO: Added keywords to args of function 'tf.shape'
867:51: INFO: Added keywords to args of function 'tf.shape'
869:53: INFO: Added keywords to args of function 'tf.shape'
870:53: INFO: Added keywords to args of function 'tf.shape'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_list_test.py'
outputting to 'object_detection/core/box_list_test.py'
--------------------------------------------------------------------------------
46:25: INFO: Renamed 'tf.where' to 'tf.compat.v1.where'
84:18: INFO: Renamed 'tf.placeholder' to 'tf.compat.v1.placeholder'
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
Processing file 'object_detection/core/box_predictor.py'
outputting to 'object_detection/core/box_predictor.py'
--------------------------------------------------------------------------------
34:7: ERROR: Using member tf.contrib.slim in deprecated module tf.contrib. tf.contrib.slim cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the required code.
89:9: INFO: Renamed 'tf.variable_scope' to 'tf.compat.v1.variable_scope'
193:17: INFO: Added keywords to args of function 'tf.shape'
194:16: INFO: Added keywords to args of function 'tf.shape'