Commits · cfc8306d7d61eeac99e3838b0c0074e8a8b6cf54 · ModelZoo / ResNet50_tensorflow

19 Dec, 2019 2 commits
- Internal change · cfc8306d
  Rajagopal Ananthanarayanan authored Dec 19, 2019
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  cfc8306d
- Enable checkpoint. · b6161f67
  A. Unique TensorFlower authored Dec 18, 2019
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  b6161f67
18 Dec, 2019 2 commits
- 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
17 Dec, 2019 1 commit
- Internal change · 7e67dbbc
  Yeqing Li authored Dec 17, 2019
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  7e67dbbc
16 Dec, 2019 1 commit
- Internal change · 8d9a16ce
  Yeqing Li authored Dec 16, 2019
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  8d9a16ce
10 Dec, 2019 1 commit
- A more accurate implementation of mask pasting. · 38e48f91
  Pengchong Jin authored Dec 10, 2019
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  38e48f91
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 4 commits
- Internal change · f079ed2e
  Hongkun Yu authored Dec 05, 2019
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  f079ed2e
- Imports the mask-rcnn config. · 59393a8d
  Yeqing Li authored Dec 05, 2019
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  59393a8d
- 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
04 Dec, 2019 3 commits
- Code cleanup. · 91a1ce9b
  Yeqing Li authored Dec 04, 2019
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  91a1ce9b
- Internal change · 5b25005c
  Pengchong Jin authored Dec 04, 2019
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  5b25005c
- Internal change · 6a50c338
  A. Unique TensorFlower authored Dec 03, 2019
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  6a50c338
02 Dec, 2019 1 commit
- Internal change · 1dffde32
  A. Unique TensorFlower authored Dec 02, 2019
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  1dffde32
27 Nov, 2019 3 commits
- Clean up the mask utils. · 61d6173d
  Pengchong Jin authored Nov 27, 2019
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  61d6173d
- Internal change · ae989abc
  Pengchong Jin authored Nov 27, 2019
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  ae989abc
- 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
23 Nov, 2019 1 commit
- Internal change · 986ffac4
  Yeqing Li authored Nov 22, 2019
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  986ffac4
22 Nov, 2019 2 commits
- Do not restrain min/max levels in FPN. · 5feb6bc0
  Pengchong Jin authored Nov 22, 2019
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  5feb6bc0
- Move get_non_empty_box_indices to box_utils. · 48693cad
  Pengchong Jin authored Nov 21, 2019
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  48693cad
21 Nov, 2019 1 commit
- Internal change · 9b98e3db
  Allen Wang authored Nov 21, 2019
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  9b98e3db
18 Nov, 2019 1 commit
- Internal change · 5a3b762c
  Allen Wang authored Nov 18, 2019
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  5a3b762c
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
13 Nov, 2019 2 commits
- Internal changes. · 8861a624
  Pengchong Jin authored Nov 13, 2019
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  8861a624
- Internal change · 13e18326
  A. Unique TensorFlower authored Nov 13, 2019
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  13e18326
12 Nov, 2019 1 commit
- Add the sample offset option in mask interpolation. · c2902cfb
  Pengchong Jin authored Nov 12, 2019
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  c2902cfb
07 Nov, 2019 3 commits
- Adds support for separable convolution. · 98db9b25
  Yeqing Li authored Nov 07, 2019
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  98db9b25
- Update losses. · b2bf29cf
  Yeqing Li authored Nov 07, 2019
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  b2bf29cf
- Internal change · 833e6939
  A. Unique TensorFlower authored Nov 06, 2019
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  833e6939
04 Nov, 2019 1 commit
- Internal change · 28c5f526
  Will Cromar authored Nov 04, 2019
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  28c5f526
01 Nov, 2019 5 commits

Fix mnist_test.py · 0734276a
Will Cromar authored Nov 01, 2019
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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

Internal change · e12bd6a5
Pengchong Jin authored Nov 01, 2019
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e12bd6a5
Internal change · ada2ed77
Yeqing Li authored Nov 01, 2019
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ada2ed77
Add 2.x version of MNIST model to model garden. · 37c12026
Will Cromar authored Nov 01, 2019
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37c12026