Commits · adc01cd76ae0d9d3b2e8dde3ec6bf4086f7da046 · ModelZoo / ResNet50_tensorflow

12 Mar, 2020 1 commit
- Internal change · cf5f1321
  Jaehong Kim authored Mar 11, 2020
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  cf5f1321
11 Mar, 2020 1 commit
- Move resnet_model.py into its own folder. · 1fdfd973
  Allen Wang authored Mar 11, 2020
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  1fdfd973
10 Mar, 2020 1 commit
- Remove unused num_epochs param in resnet_imagenet_main.py. · 15eab100
  Rick Chao authored Mar 09, 2020
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  15eab100
06 Mar, 2020 1 commit
- Remove num_epochs in imagenet_preprocessing.py as it's unused. · 1b45a4a5
  Rick Chao authored Mar 06, 2020
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  1b45a4a5
05 Mar, 2020 2 commits
- Remove force_v2_in_keras_compile. experimental_run_tf_function is no-op now. · d3d7f15f
  Hongkun Yu authored Mar 05, 2020
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  d3d7f15f
- Internal change · cf01596c
  Zongwei Zhou authored Mar 04, 2020
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  cf01596c
25 Feb, 2020 2 commits

Convert numpy arrays to floats using float constructor, not .item(). · ed2e3bc3

Reed Wanderman-Milne authored Feb 25, 2020

I plan on changing Keras to return Python floats instead of Numpy scalars, and this will break if .item() is called. Also, using the float constructor is cleaner, as it clearly communicates that a Python float is desired.

PiperOrigin-RevId: 297192289

ed2e3bc3

Creates modeling/performance.py to include mix prediction related stuff · fb35d6be
Hongkun Yu authored Feb 24, 2020
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fb35d6be

24 Feb, 2020 1 commit
- Use learning schedule op by default in Resnet50. Remove learning rate callback code. · 02af9bb5
  Zongwei Zhou authored Feb 24, 2020
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  02af9bb5
21 Feb, 2020 1 commit
- Write examples/second and steps/second summaries in TimeHistory callback. · b60dc237
  Will Cromar authored Feb 21, 2020
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  b60dc237
14 Feb, 2020 1 commit
- First pass of a custom training loop library and applies it in model garden Resnet. · f2882f6e
  Ruoxin Sang authored Feb 14, 2020
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  f2882f6e
12 Feb, 2020 1 commit
- Internal change · 8ca30bf6
  Will Cromar authored Feb 12, 2020
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  8ca30bf6
28 Jan, 2020 1 commit
- Move resnet cifar to benchmark models. · dbdd17c4
  Hongkun Yu authored Jan 28, 2020
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  dbdd17c4
27 Jan, 2020 1 commit
- Remove 'num_workers' arg from get_distribution_strategy() method. · 1af7172d
  Yanhui Liang authored Jan 27, 2020
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  1af7172d
24 Jan, 2020 1 commit
- Internal change · ca6f9026
  Pavithra Vijay authored Jan 24, 2020
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  ca6f9026
23 Jan, 2020 1 commit
- Internal change · 07cab75d
  Jaehong Kim authored Jan 23, 2020
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  07cab75d
22 Jan, 2020 1 commit
- Update resnet README with multi-worker benchmark instructions. · 03038d9c
  Ayush Dubey authored Jan 22, 2020
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  03038d9c
14 Jan, 2020 1 commit
- Apply model optimization pruning for image classification task. · 3462436c
  Jaehong Kim authored Jan 13, 2020
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  3462436c
10 Jan, 2020 1 commit
- Internal Changes. · a76bc125
  Allen Wang authored Jan 10, 2020
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  a76bc125
09 Jan, 2020 1 commit
- Add a flag to switch layers module. · 7124ed12
  Jaehong Kim authored Jan 08, 2020
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  7124ed12
28 Dec, 2019 1 commit
- Enable v2 layers for resnet_model. · 3dee3b86
  Alan Chiao authored Dec 27, 2019
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  3dee3b86
26 Dec, 2019 1 commit
- Add more comments · 0d1fb4cf
  Kaixi Hou authored Dec 26, 2019
  
  0d1fb4cf
19 Dec, 2019 1 commit
- Enable checkpoint. · b6161f67
  A. Unique TensorFlower authored Dec 18, 2019
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  b6161f67
18 Dec, 2019 3 commits
- CTL RN50 uses persist BN · a5304312
  kaixih authored Dec 18, 2019
  
  a5304312
- Enable v2 layers for resnet_model. · caa5158f
  Jaehong Kim authored Dec 18, 2019
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  caa5158f
- Recover global policy between tests. · b37c3fc1
  Jaehong Kim authored Dec 18, 2019
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  b37c3fc1
06 Dec, 2019 1 commit
- Using better version of l2 loss to avoid reshape, concat and split ops. · c0bdb378
  A. Unique TensorFlower authored Dec 05, 2019
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Also adding support for CTL mode in the borg file.

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  c0bdb378
05 Dec, 2019 3 commits
- Internal change · f079ed2e
  Hongkun Yu authored Dec 05, 2019
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  f079ed2e
- Internal change · c115444f
  Jaehong Kim authored Dec 05, 2019
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  c115444f
- Moved set_gpu_thread_mode_and_count from vision/image_classification/common.py to · f926be0a
  A. Unique TensorFlower authored Dec 04, 2019
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utils/misc/keras_utils

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  f926be0a
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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  04256053
25 Nov, 2019 1 commit
- Internal change · 5b2575c2
  Zongwei Zhou authored Nov 24, 2019
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  5b2575c2
21 Nov, 2019 1 commit
- Internal change · 9b98e3db
  Allen Wang authored Nov 21, 2019
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  9b98e3db
14 Nov, 2019 3 commits
- Internal change · 01cc8df9
  Will Cromar authored Nov 14, 2019
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  01cc8df9
- Remove the data_delay_prefetch flag and monkey patch. · 3af667fd
  Haoyu Zhang authored Nov 14, 2019
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  3af667fd
- Add pretrained checkpoints and TFHub links · 61aee86e
  Hongkun Yu authored Nov 13, 2019
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  61aee86e
04 Nov, 2019 1 commit
- Internal change · 28c5f526
  Will Cromar authored Nov 04, 2019
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  28c5f526
01 Nov, 2019 3 commits

Fix mnist_test.py · 0734276a
Will Cromar authored Nov 01, 2019
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PiperOrigin-RevId: 278024052
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0734276a

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 2.x version of MNIST model to model garden. · 37c12026
Will Cromar authored Nov 01, 2019
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PiperOrigin-RevId: 277946653
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37c12026