Commits · 97e04472f4cc0b05c94ad31413d34e842712f720 · ModelZoo / ResNet50_tensorflow

17 Jan, 2020 1 commit
- Updating Bert Squad batch size 4. XLA batch size still at 3, as it OOMs at 4. · 97e04472
  A. Unique TensorFlower authored Jan 17, 2020
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  97e04472
19 Dec, 2019 1 commit
- Internal change · 5b4eaa3f
  David Chen authored Dec 19, 2019
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  5b4eaa3f
18 Dec, 2019 1 commit
- Internal change · 0612e190
  David Chen authored Dec 17, 2019
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  0612e190
17 Dec, 2019 3 commits
- Internal change · 68146271
  David Chen authored Dec 17, 2019
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- Refactor: move NCF benchmark to benchmark folder. · 74c97026
  Hongkun Yu authored Dec 17, 2019
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  74c97026
- Refactor: move transformer benchmark to benchmark folder. · 72deecc0
  Hongkun Yu authored Dec 16, 2019
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  72deecc0
14 Dec, 2019 1 commit
- Add Resnet-50 CTL FP16 benchmarks · 4b06a97a
  Zongwei Zhou authored Dec 14, 2019
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  4b06a97a
13 Dec, 2019 1 commit
- Internal change · a617b671
  David Chen authored Dec 12, 2019
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  a617b671
12 Dec, 2019 1 commit
- Internal change · f4dd2cff
  Yeqing Li authored Dec 12, 2019
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06 Dec, 2019 1 commit
- Internal cleanup. · 8a8baded
  Yeqing Li authored Dec 06, 2019
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05 Dec, 2019 1 commit

Remove tweaked benchmark for no_dist_strat in function mode. · ef8aed79

Haoyu Zhang authored Dec 04, 2019

No need to test explicit_gpu_placement + no_dist_strat + function case, since the performance issue is already fixed by unifying the Keras codepaths. However, there is still performance gap using the explicit_gpu_placement flag when run_eagerly.

PiperOrigin-RevId: 283890008

ef8aed79

04 Dec, 2019 1 commit
- Internal change · 6a50c338
  A. Unique TensorFlower authored Dec 03, 2019
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03 Dec, 2019 1 commit
- Fix bug introduced. · 281d1757
  Hongkun Yu authored Dec 02, 2019
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  281d1757
27 Nov, 2019 1 commit
- Remove 'default' in get_distribution_strategy which is complex and error-prone · 04256053
  Hongkun Yu authored Nov 26, 2019
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25 Nov, 2019 2 commits

Inject enable_runtime_flags into benchmarks. · bcce419a

Sai Ganesh Bandiatmakuri authored Nov 25, 2019

This will help general debugging by enabling custom execution with --benchmark_method_steps.

E.g --benchmark_method_steps=train_steps=7 will run the benchmark for only 7 steps without modifying benchmark code.

PiperOrigin-RevId: 282396875

bcce419a

Completely remove "use_keras_bert_for_squad" FLAG. · 9c50e961
Chen Chen authored Nov 25, 2019
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9c50e961

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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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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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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- Enables timer callback and disables checkpoint saving in retinanet benchmark test. · 1b77cd80
  Yeqing Li authored Oct 16, 2019
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  1b77cd80
- Internal change · e97e22df
  Yeqing Li authored Oct 15, 2019
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  e97e22df
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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  b63030a3
09 Oct, 2019 1 commit
- Fix BERT benchmark test. · f5e2211f
  A. Unique TensorFlower authored Oct 09, 2019
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  f5e2211f
01 Oct, 2019 1 commit
- Internal change · 6bbc45dd
  David Chen authored Sep 30, 2019
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  6bbc45dd