Commits · c1ac2bfcb6d71e8fc4c775325676dccc6853ae35 · ModelZoo / ResNet50_tensorflow

18 Nov, 2019 1 commit
- Internal change · c1ac2bfc
  A. Unique TensorFlower authored Nov 18, 2019
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  c1ac2bfc
14 Nov, 2019 1 commit
- Update transformer's data_download.py to use TF 1.x compatibility mode. · 63d754ec
  Allen Wang authored Nov 14, 2019
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  63d754ec
11 Nov, 2019 1 commit
- [Clean up] Move TF1 only TPU utils to r1 folder. · 0c5919ef
  Hongkun Yu authored Nov 11, 2019
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  0c5919ef
29 Oct, 2019 1 commit
- Internal change · a71c9248
  Allen Wang authored Oct 29, 2019
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  a71c9248
24 Oct, 2019 2 commits

Remove unnecessary flags · cd00b9a7
Hongkun Yu authored Oct 24, 2019
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PiperOrigin-RevId: 276518206
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cd00b9a7

Tensorboard summary writing for few params · 1f4936f1

Madhura Pande authored Oct 24, 2019

Using this code on GPU, was not logging "learning_rate" and "gradient norm" etc. We need to use simple "tf.summary.scalar" instead of contrib one to log these params. Tested on Tensorflow 1.14.

1f4936f1

11 Oct, 2019 3 commits
- Revert "Revert "Update usage of tf.contrib.data to tf.data.experimental" (#7654)" · 35daa566
  Hongkun Yu authored Oct 11, 2019
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This reverts commit b4e560dc.
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  35daa566
- Revert "Update usage of tf.contrib.data to tf.data.experimental" (#7654) · b4e560dc
  Hongkun Yu authored Oct 11, 2019
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* Revert "Update tf.contrib.data to tf.data.experimental. (#7650)"

This reverts commit faf4bbb3.

* revert research
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  b4e560dc
- Update tf.contrib.data to tf.data.experimental. (#7650) · faf4bbb3
  Derek Murray authored Oct 11, 2019
  
  faf4bbb3
10 Oct, 2019 2 commits

change benchmark's log verbosity to logging.INFO. it seems to me that DEBUG... · 1f9efe10

A. Unique TensorFlower authored Oct 10, 2019

change benchmark's log verbosity to logging.INFO. it seems to me that DEBUG map to ---v=1 internally, which is way to verbose for the purpose of benchmarking.

PiperOrigin-RevId: 274040907

1f9efe10

Internal change · cf4cae61
Hongkun Yu authored Oct 10, 2019
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PiperOrigin-RevId: 273966871
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cf4cae61

09 Oct, 2019 1 commit

Simply LayerNorm mixed precision logic. · 0257b276

Reed Wanderman-Milne authored Oct 09, 2019

Instead of needing to ensure variables are float32, casting inputs to float32, etc, instead dtype="float32" is passed to the layer constructor, which will do all that logic automatically.

The only difference is the output of LayerNorm is now float32 instead of float16, so an extra cast is needed elsewhere.

PiperOrigin-RevId: 273833286

0257b276

07 Oct, 2019 1 commit
- Internal change · 41293260
  A. Unique TensorFlower authored Oct 07, 2019
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  41293260
18 Sep, 2019 1 commit
- Internal change · 32dadfc2
  David Chen authored Sep 18, 2019
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  32dadfc2
17 Sep, 2019 1 commit
- Move Bert to NLP. Tasks are moved to nlp/bert/ · 1862b9c3
  Hongkun Yu authored Sep 17, 2019
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Refactor basic utils to modeling/

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  1862b9c3
16 Sep, 2019 1 commit
- Update readme to emphasize 'global batch size'. · 841bf60b
  Hongkun Yu authored Sep 16, 2019
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  841bf60b
09 Sep, 2019 2 commits

Internal change · 5ceb3acf
David Chen authored Sep 09, 2019
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PiperOrigin-RevId: 268057019
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5ceb3acf

Unexpose some flags from models which do not use them. · e91c41c2

Reed Wanderman-Milne authored Sep 09, 2019

--stop_threshold, --num_gpu, --hooks, --export_dir, and --distribution_strategy have been unexposed from models which do not use them

PiperOrigin-RevId: 268032080

e91c41c2

05 Sep, 2019 1 commit
- Internal change · 4bd15fa6
  A. Unique TensorFlower authored Sep 05, 2019
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  4bd15fa6
04 Sep, 2019 1 commit

Unexpose some flags from models which do not use them. · a85c40e3

Reed Wanderman-Milne authored Sep 03, 2019

--clean, --train_epochs, and --epochs_between_evals have been unexposed from models which do not use them

PiperOrigin-RevId: 267065651

a85c40e3

03 Sep, 2019 1 commit
- Avoid importing private ObjectIdentitySet class · bd211e3e
  Gaurav Jain authored Sep 02, 2019
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  bd211e3e
30 Aug, 2019 2 commits
- Use tf.compat.v2 when accessing policies. · a6f9945a
  Reed Wanderman-Milne authored Aug 30, 2019
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I soon plan on making mixed precision policies exposed in TF2 only.

PiperOrigin-RevId: 266433372
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  a6f9945a
- Internal change · e170a8ba
  A. Unique TensorFlower authored Aug 30, 2019
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  e170a8ba
29 Aug, 2019 1 commit
- Enable V2 behavior in transformer_main.py. · 68c3c655
  Reed Wanderman-Milne authored Aug 28, 2019
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The transformer model requires TF2.

PiperOrigin-RevId: 266026991
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  68c3c655
28 Aug, 2019 2 commits
- Internal change · 6def0d03
  A. Unique TensorFlower authored Aug 28, 2019
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  6def0d03
- Internal change · 82ba6174
  Adrian Kuegel authored Aug 28, 2019
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  82ba6174
27 Aug, 2019 1 commit
- Internal change · 0fa5ff23
  Hongkun Yu authored Aug 27, 2019
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  0fa5ff23
26 Aug, 2019 1 commit
- Internal change · 32235d83
  Igor Saprykin authored Aug 26, 2019
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  32235d83
23 Aug, 2019 2 commits
- Internal change · ee016fb0
  David Chen authored Aug 23, 2019
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  ee016fb0
- Internal change · 74543c03
  David Chen authored Aug 22, 2019
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  74543c03
22 Aug, 2019 3 commits
- Internal change · 519ad098
  A. Unique TensorFlower authored Aug 22, 2019
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  519ad098
- Internal change · 640ff472
  A. Unique TensorFlower authored Aug 22, 2019
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  640ff472
- Internal change · 4a1354fe
  Adrian Kuegel authored Aug 22, 2019
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  4a1354fe
21 Aug, 2019 2 commits
- Use tf.float32 instead of "float32" · dfcca061
  Reed authored Aug 21, 2019
  
  dfcca061
- minor fix to comments · d5722dcd
  Vinh Nguyen authored Aug 21, 2019
  
  d5722dcd
20 Aug, 2019 3 commits
- Use new mixed_float16 policy for transformer. · acdf24c5
  Reed authored Aug 13, 2019
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The old infer_float32_policies policy will be removed from TensorFlow soon.
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  acdf24c5
- fix transformer amp · c9c05e9b
  Vinh Nguyen authored Aug 20, 2019
  
  c9c05e9b
- Move Estimator-only export utils to R1 · a53371eb
  Hongkun Yu authored Aug 19, 2019
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  a53371eb
19 Aug, 2019 2 commits

Fix transformer_main.py. · b1188d03

Reed Wanderman-Milne authored Aug 19, 2019

An earlier change made it so running this file would cause an error. The unit tests still passed, as the unit tests do not directly call the main() function

PiperOrigin-RevId: 264268400

b1188d03

Set bleu_min/max to match acceptable range. · c5943a0a

Toby Boyd authored Aug 19, 2019

Small tweak to the range based on seeing values
slightly over 29 and slightly under 28. This avoids
false positives that even if valid are not actionable.

c5943a0a