Commits · 082bb878e056d53b3eae058b2ce032804bc7717a · ModelZoo / ResNet50_tensorflow

22 Nov, 2019 2 commits
- Internal change · 082bb878
  David Chen authored Nov 22, 2019
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  082bb878
- Internal change · a23beab1
  David Chen authored Nov 21, 2019
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  a23beab1
20 Nov, 2019 1 commit
- Internal change · e16594d1
  Chen Chen authored Nov 20, 2019
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12 Nov, 2019 1 commit
- Internal change · a76237da
  Rajagopal Ananthanarayanan authored Nov 12, 2019
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11 Nov, 2019 2 commits
- Fix checkpoint path in bert_benchmark.py. · 0faa2ff3
  Hongkun Yu authored Nov 11, 2019
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  0faa2ff3
- Release keras bert: · f1d35b4e
  Hongkun Yu authored Nov 11, 2019
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- Update classifier example.
- Add new converted checkpoints.
- Update benchmark,

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  f1d35b4e
08 Nov, 2019 1 commit
- Internal change · 4972c084
  A. Unique TensorFlower authored Nov 08, 2019
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  4972c084
06 Nov, 2019 2 commits
- Internal change · bf0dc049
  Ayush Dubey authored Nov 06, 2019
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  bf0dc049
- Internal change · 94833324
  Yeqing Li authored Nov 05, 2019
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  94833324
02 Nov, 2019 1 commit
- Internal change · b3e74d15
  Hongkun Yu authored Nov 01, 2019
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01 Nov, 2019 2 commits

Support fp16 using tf.keras.mixed_precision in CTL resnet. · ffa522ea

Reed Wanderman-Milne authored Nov 01, 2019

To test, I ran the following command:

python resnet_ctl_imagenet_main.py --batch_size=2048 --data_dir ~/imagenet --datasets_num_private_threads=14 --epochs_between_evals=10 --model_dir ~/tmp_model_dir --clean --num_gpus=8 --train_epochs=90 --dtype=fp16

I got 76.15% final evaluation accuracy.

PiperOrigin-RevId: 278010061

ffa522ea

Add squad xlnet accuracy test · 9df6a3d6
Hongkun Yu authored Nov 01, 2019
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9df6a3d6

29 Oct, 2019 1 commit
- Internal change · 9f3b0269
  David Chen authored Oct 29, 2019
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  9f3b0269
28 Oct, 2019 1 commit
- Add Resnet50 benchmark suite that read training data from remote storage · 06f22a59
  Zongwei Zhou authored Oct 28, 2019
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  06f22a59
22 Oct, 2019 1 commit
- train_data_size flag is deleted. · 128326ca
  Hongkun Yu authored Oct 21, 2019
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  128326ca
18 Oct, 2019 1 commit
- Move CTL resnet example. · f2c61881
  Hongkun Yu authored Oct 18, 2019
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  f2c61881
17 Oct, 2019 1 commit
- Move ResNet CTL benchmark to benchmark folder. · d2f86342
  Hongkun Yu authored Oct 17, 2019
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  d2f86342
16 Oct, 2019 3 commits
- Internal change · 06412123
  David Chen authored Oct 16, 2019
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  06412123
- Enables timer callback and disables checkpoint saving in retinanet benchmark test. · 1b77cd80
  Yeqing Li authored Oct 16, 2019
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- Internal change · e97e22df
  Yeqing Li authored Oct 15, 2019
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11 Oct, 2019 1 commit

Change summary directory and model checkpoint directory so that training via... · e67a2064

A. Unique TensorFlower authored Oct 11, 2019

Change summary directory and model checkpoint directory so that training via Keras Compile/Fit() and custom training loop is consistent.

PiperOrigin-RevId: 274202793

e67a2064

10 Oct, 2019 1 commit
- Perfzero RetinaLNet detection COCO AP test on 8 GPUs. · b63030a3
  Yeqing Li authored Oct 10, 2019
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09 Oct, 2019 1 commit
- Fix BERT benchmark test. · f5e2211f
  A. Unique TensorFlower authored Oct 09, 2019
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01 Oct, 2019 1 commit
- Internal change · 6bbc45dd
  David Chen authored Sep 30, 2019
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  6bbc45dd
26 Sep, 2019 1 commit
- Internal change · d735ecf8
  David Chen authored Sep 26, 2019
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  d735ecf8
24 Sep, 2019 1 commit
- Perfzero XLNet classifier Imdb accuracy test on 8 GPUs. · a52564cb
  Hongkun Yu authored Sep 23, 2019
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  a52564cb
19 Sep, 2019 2 commits
- Fix for resnet data_dir in the keras_imagenet_benchmark suite. · f28059c0
  A. Unique TensorFlower authored Sep 19, 2019
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- Fix for resnet data_dir name in copybara. · 0a79175b
  A. Unique TensorFlower authored Sep 19, 2019
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  0a79175b
18 Sep, 2019 1 commit
- Move bert benchmark stuff to a central place. · 7bd795db
  Hongkun Yu authored Sep 18, 2019
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  7bd795db
13 Sep, 2019 1 commit
- Set `datasets_num_private_threads` flag for multi-worker tuned benchmarks. · 956f295f
  Ayush Dubey authored Sep 12, 2019
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  956f295f
12 Sep, 2019 1 commit
- Add Keras-based ResNet50 multi-worker accuracy tests. · cbf29854
  Ayush Dubey authored Sep 12, 2019
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  cbf29854
29 Aug, 2019 1 commit

Use new mixed_float16 policy for resnet. · dcd0e7ad

Reed Wanderman-Milne authored Aug 29, 2019

The old infer_float32_policies policy will be removed from TensorFlow soon.

To test convergence, I ran the Resnet50KerasAccuracy.benchmark_8_gpu_fp16 benchmark. I got an accuracy of 0.76037 and an exp_per_second of 6908.

PiperOrigin-RevId: 266191126

dcd0e7ad

28 Aug, 2019 1 commit
- Internal change · 86204f0c
  Adrian Kuegel authored Aug 28, 2019
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  86204f0c
22 Aug, 2019 1 commit
- Internal change · 9af989ce
  Hongkun Yu authored Aug 22, 2019
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  9af989ce
21 Aug, 2019 1 commit
- Add a multi-worker real data Keras ResNet benchmark. · 8e1e0339
  Ayush Dubey authored Aug 20, 2019
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  8e1e0339
20 Aug, 2019 2 commits
- fix testing config · 97c19f54
  Vinh Nguyen authored Aug 20, 2019
  
  97c19f54
- using existing flag --fp16_implementation in... · 8f526987
  Vinh Nguyen authored Aug 20, 2019
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using existing flag --fp16_implementation in official/utils/flags/_performance.py to enable automatic mixed precision
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  8f526987
19 Aug, 2019 1 commit

Moving Keras ResNet models to `official/vision/image_classification` and... · b974c3f9

Haoyu Zhang authored Aug 19, 2019

Moving Keras ResNet models to `official/vision/image_classification` and benchmarks to `official/benchmark`.

PiperOrigin-RevId: 264268533

b974c3f9

03 Jul, 2019 1 commit

Unit tests pass TF 2.0 GPU and CPU locally. (#7101) · 49097655

Toby Boyd authored Jul 03, 2019

* Fix unit tests failures.

* 96% of TF 2.0 tests on GPU are passing.

* Currently all passing GPU and CPU TF 2.0

* Address code comments.

* use tf 2.0 cast.

* Comment about working on TF 2.0 CPU

* Uses contrib turn off for TF 2.0.

* Fix wide_deep and add keras_common_tests.

* use context to get num_gpus.

* Switch to tf.keras.metrics

49097655

01 Jun, 2018 1 commit

Record the status for a benchmark run. (#4402) · 47c5642e

Qianli Scott Zhu authored Jun 01, 2018

* Update benchmark logger to update the run status.

This is important for streaming upload to bigquery so that the
dashboard can ignore the 'running' benchmark at the moment since
its not finished yet.

* Move the run status into a separate table.

Also update the run status in the benchmark uploader and
BigqueryBenchmarkLogger.

* Insert instead of update for the benchmark status for file logger.

* Address review comments.

Update the logger to have benchmark context, which will update the
run status accordingly.

* Fix broken tests.

* Move the benchmark logger context to main function.

* Fix tests.

* Update the rest of the models to use the context in main.

* Delint.

47c5642e