Commits · b6ece654c08628be98856dfe53e8219071bd4a3a · ModelZoo / ResNet50_tensorflow

17 Nov, 2020 1 commit
- [Cleanup] Replace tf.distribute.experimental.TPUStrategy with tf.distribute.TPUStrategy · b6ece654
  Hongkun Yu authored Nov 16, 2020
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  b6ece654
03 Nov, 2020 1 commit
- Internal change · 47067b87
  Pankaj Kanwar authored Nov 03, 2020
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  47067b87
26 Oct, 2020 1 commit
- Py3 cleanup for nlp/ · 89fd2bb1
  Hongkun Yu authored Oct 26, 2020
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  89fd2bb1
30 Sep, 2020 1 commit
- Internal change · b5a482c4
  Chenkai Kuang authored Sep 29, 2020
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  b5a482c4
16 Sep, 2020 2 commits
- Internal change · 396fd9de
  A. Unique TensorFlower authored Sep 16, 2020
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  396fd9de
- Internal change · b139a84b
  A. Unique TensorFlower authored Sep 16, 2020
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13 Sep, 2020 2 commits
- [Clean up] Consolidate distribution utils. · 420fd1cf
  Hongkun Yu authored Sep 12, 2020
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  420fd1cf
- [Clean up] Consolidate distribution utils. · 33a4c207
  Hongkun Yu authored Sep 12, 2020
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  33a4c207
29 Aug, 2020 2 commits
- Internal change · 172bf8ff
  Zongwei Zhou authored Aug 28, 2020
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- Internal change · 3f8132e9
  Zongwei Zhou authored Aug 28, 2020
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28 Aug, 2020 2 commits
- [Minor Cleanup] Move clip_by_global_norm_callback to model_training_utils · 184c5586
  Hongkun Yu authored Aug 27, 2020
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  184c5586
- [Minor Cleanup] Move clip_by_global_norm_callback to model_training_utils · 88effbc3
  Hongkun Yu authored Aug 27, 2020
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  88effbc3
12 Aug, 2020 2 commits
- Internal change · 999fae62
  Hongkun Yu authored Aug 12, 2020
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  999fae62
- Internal change · 88253ce5
  Hongkun Yu authored Aug 12, 2020
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  88253ce5
07 Aug, 2020 2 commits
- Internal change · ecd751c0
  A. Unique TensorFlower authored Aug 06, 2020
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- Internal change · 80a6318b
  A. Unique TensorFlower authored Aug 06, 2020
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08 Jul, 2020 2 commits
- Remove TODOs that will never fulfill. · 4c506585
  Hongkun Yu authored Jul 07, 2020
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  4c506585
- Remove TODOs that will never fulfill. · 3b56ba8d
  Hongkun Yu authored Jul 07, 2020
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  3b56ba8d
04 Jul, 2020 2 commits
- Update deprecation message to be more clearer. · 523f5e05
  Hongkun Yu authored Jul 03, 2020
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  523f5e05
- Update deprecation message to be more clearer. · a5a5102b
  Hongkun Yu authored Jul 03, 2020
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17 Jun, 2020 1 commit
- Update model_training_utils for BERT. · d0ef3913
  A. Unique TensorFlower authored Jun 16, 2020
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  d0ef3913
16 Jun, 2020 1 commit
- Internal cleanup. · 85cfe94d
  Tianqi Liu authored Jun 16, 2020
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  85cfe94d
02 Jun, 2020 1 commit
- A minor change to model_training_utils of BERT. · fc724b3e
  A. Unique TensorFlower authored Jun 02, 2020
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26 May, 2020 1 commit
- Add learning_rate to the summary. · ee760015
  Maxim Neumann authored May 26, 2020
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19 May, 2020 2 commits

When not specified by user, make steps_per_loop be dependent on the devices available. · 866176ea

André Susano Pinto authored May 19, 2020

A default of 1 all the times is bad for TPU users which end up not using the device effectively.
A larger default all the times is bad for GPU users.

So compromise and make this dependent on the devices available.

PiperOrigin-RevId: 312230371

866176ea

Internal change · 2a3971dd
A. Unique TensorFlower authored May 18, 2020
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2a3971dd

14 May, 2020 1 commit
- Deprecate run_customized_training_loop() method. · 7cdb82e3
  Chen Chen authored May 14, 2020
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  7cdb82e3
12 May, 2020 1 commit
- Internal change · adb61343
  Chen Chen authored May 11, 2020
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22 Apr, 2020 1 commit
- Add model metrics to the training summary. · 22f10c60
  Chen Chen authored Apr 22, 2020
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16 Apr, 2020 1 commit

Add calling of custom callback on_epoch_begin() and on_epoch_end() methods. · 31da2245

Jeremiah Harmsen authored Apr 16, 2020

Minor refactoring to (1) encapsulate callbacks in a CallbackList and (2) allow evaluation results to be threaded to on_epoch_end callback.

PiperOrigin-RevId: 306827406

31da2245

15 Apr, 2020 2 commits

Internal change · 89599a23
Le Hou authored Apr 15, 2020
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89599a23

Remove extraneous evaluation & export which happens on the final epoch. · 8931d298

Jeremiah Harmsen authored Apr 15, 2020

Preserves current behavior for submodels of exporting duplicates (e.g., for 100 total steps, my_submodel_step_100.ckpt and my_submodel.ckpt are equivalent and both written after the final epoch).

PiperOrigin-RevId: 306629202

8931d298

26 Mar, 2020 1 commit
- Move modeling_training_utils.py to bert folder · 6ef71d49
  Hongkun Yu authored Mar 25, 2020
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  6ef71d49
25 Mar, 2020 1 commit

Check if there are GPUs instead of if TF is built with CUDA support. · ad09cf49

Reed Wanderman-Milne authored Mar 25, 2020

The TF pip packages are always built with CUDA support, so tf.test.is_built_with_cuda() would return True even if the user had no GPU.

PiperOrigin-RevId: 302928378

ad09cf49

17 Mar, 2020 2 commits
- Adds scale_loss to run_customized_training_loop, which should be the correct treatment. · bf6d6f6f
  Hongkun Yu authored Mar 17, 2020
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- Internal change · 2d7223ad
  Ken Franko authored Mar 16, 2020
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15 Mar, 2020 1 commit
- Correct grammar. · adc01cd7
  A. Unique TensorFlower authored Mar 15, 2020
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  adc01cd7
13 Mar, 2020 1 commit
- Remove confusing legacy comments. · 5a423a2d
  Hongkun Yu authored Mar 12, 2020
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  5a423a2d
11 Mar, 2020 1 commit
- Add TimeHistory callback to BERT. · b39958cf
  Will Cromar authored Mar 11, 2020
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  b39958cf
10 Mar, 2020 1 commit

Save to tmp directory on non-chief workers in model_training_utils · 682d36b5

Ran Chen authored Mar 10, 2020

In a multi worker set up saving is done on each worker. If they're saving to the same location, e.g. GCS, there will be conflicts. With this change we save to temporary directory on non-chief workers.

Note that, there may be synchronization in saving that needs all workers to participate, so we cannot only save on one worker.

PiperOrigin-RevId: 300141152

682d36b5