Commits · 5dcfd2c54b4d42b4ca9ef7c99355e5cb43f00a3d · ModelZoo / ResNet50_tensorflow

"tests/vscode:/vscode.git/clone" did not exist on "186bfd2eb9ee44db129d1dac70dcabe01461227b"

15 Sep, 2020 3 commits
- Fix to setup.py for finding requirements.txt · d7bc2202
  Zhenyu Tan authored Sep 15, 2020
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  d7bc2202
- Internal change · ffce3f46
  Abdullah Rashwan authored Sep 15, 2020
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  ffce3f46
- Adding license and pip package install tool. · bb850e7d
  Zhenyu Tan authored Sep 14, 2020
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  bb850e7d
14 Sep, 2020 2 commits
- Internal change · 47eb8225
  Abdullah Rashwan authored Sep 14, 2020
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  47eb8225
- cleanup for keras_cv.losses · 27347c2d
  Zhenyu Tan authored Sep 14, 2020
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  27347c2d
13 Sep, 2020 1 commit
- [Clean up] Consolidate distribution utils. · 33a4c207
  Hongkun Yu authored Sep 12, 2020
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  33a4c207
11 Sep, 2020 3 commits
- Internal change · 84feedee
  Abdullah Rashwan authored Sep 11, 2020
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  84feedee
- Move anchor generator to keras_cv · 643d492b
  Zhenyu Tan authored Sep 10, 2020
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  643d492b
- Internal change · 1eb54e75
  A. Unique TensorFlower authored Sep 10, 2020
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  1eb54e75
10 Sep, 2020 1 commit
- Internal change · dc9f89fb
  Zhenyu Tan authored Sep 10, 2020
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  dc9f89fb
09 Sep, 2020 1 commit
- Internal change · 06be7fb4
  Yeqing Li authored Sep 09, 2020
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  06be7fb4
08 Sep, 2020 1 commit
- Internal change · 545cd6ce
  Hongkun Yu authored Sep 08, 2020
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  545cd6ce
04 Sep, 2020 1 commit
- Internal change · 94814c77
  Abdullah Rashwan authored Sep 03, 2020
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  94814c77
03 Sep, 2020 1 commit
- Internal change · 59d3d2a3
  Abdullah Rashwan authored Sep 03, 2020
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  59d3d2a3
02 Sep, 2020 2 commits
- Internal change · e9ccc6ed
  Zhenyu Tan authored Sep 02, 2020
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  e9ccc6ed
- Internal change · b6215c6f
  Abdullah Rashwan authored Sep 02, 2020
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  b6215c6f
27 Aug, 2020 1 commit
- Internal change · 28cbb02d
  Abdullah Rashwan authored Aug 27, 2020
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  28cbb02d
26 Aug, 2020 4 commits
- Address comments from Aug 7 · a87bb185
  Ruomei Yan authored Aug 17, 2020
  
  a87bb185
- Address review comments from mid June · 20101930
  Ruomei Yan authored Jul 28, 2020
  
  20101930
- Fix the two types of failed tests: · 7dfef01d
  Ruomei Yan authored Jun 08, 2020
```
1. the dataset_num_private_threads flags
2. clustering does not support fp16 or mixed precision training
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  7dfef01d
- Create an example for clustering mobilenet_v1 in resnet_imagenet_main.py · ee80adbf
  Ruomei Yan authored May 28, 2020
  
  ee80adbf
13 Aug, 2020 2 commits
- Add in ImageNet dataset config info and a try/catch for dataset info in case of connection error. · 8ddb4f00
  Allen Wang authored Aug 13, 2020
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  8ddb4f00
- Add in ImageNet dataset config info and a try/catch for dataset info in case of connection error. · 8a108706
  Allen Wang authored Aug 13, 2020
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  8a108706
12 Aug, 2020 2 commits
- Internal change · 999fae62
  Hongkun Yu authored Aug 12, 2020
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  999fae62
- Internal change · 88253ce5
  Hongkun Yu authored Aug 12, 2020
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  88253ce5
05 Aug, 2020 6 commits
- Update orbit.Controller: do not write training summary when input summary_dir is None. · f8d6d99d
  A. Unique TensorFlower authored Aug 05, 2020
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  f8d6d99d
- Update orbit.Controller: do not write training summary when input summary_dir is None. · 02b874a1
  A. Unique TensorFlower authored Aug 05, 2020
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  02b874a1
- Remove piecewise decay with warmup and recompose it with stepwise + warmupdecay. · 9ed4356f
  Allen Wang authored Aug 05, 2020
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  9ed4356f
- Remove piecewise decay with warmup and recompose it with stepwise + warmupdecay. · b3677ae2
  Allen Wang authored Aug 05, 2020
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  b3677ae2
- Internal change · 0edeca54
  Dan Holtmann-Rice authored Aug 05, 2020
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  0edeca54
- Internal change · ea4cccde
  Dan Holtmann-Rice authored Aug 05, 2020
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  ea4cccde
04 Aug, 2020 2 commits

For object detection models, removing rpn_head.anchors_per_location from... · 9b6cd106

A. Unique TensorFlower authored Aug 04, 2020

For object detection models, removing rpn_head.anchors_per_location from config and using anchor.num_scales * len(anchor.aspect_ratios) to compute anchors_per_location

PiperOrigin-RevId: 324878153

9b6cd106

For object detection models, removing rpn_head.anchors_per_location from... · d192f78a

A. Unique TensorFlower authored Aug 04, 2020

For object detection models, removing rpn_head.anchors_per_location from config and using anchor.num_scales * len(anchor.aspect_ratios) to compute anchors_per_location

PiperOrigin-RevId: 324878153

d192f78a

03 Aug, 2020 2 commits
- Internal change · 2f689ffc
  Francois Chollet authored Aug 03, 2020
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  2f689ffc
- Internal change · d5776810
  Francois Chollet authored Aug 03, 2020
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  d5776810
31 Jul, 2020 3 commits
- PY3 migration · 4e439590
  Hongkun Yu authored Jul 31, 2020
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  4e439590
- PY3 migration · 007a619a
  Hongkun Yu authored Jul 31, 2020
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  007a619a
- Fixed typos in losses.py · 0e9d5840
  Srihari Humbarwadi authored Jul 31, 2020
  
  0e9d5840
30 Jul, 2020 2 commits

Pre-emptively disable the KerasTensors refactoring for the detection models in... · 071bb243

Tomer Kaftan authored Jul 29, 2020

Pre-emptively disable the KerasTensors refactoring for the detection models in tensorflow models/official/vision/detection, because they rely on several unsupported things that will stop working entirely when the refactoring goes live.

Specifically:
* The custom layers implement `__call__` instead of `call` and rely on manually enter the keras backend graph
* The vision models try to use `tf.while_loop` as Keras op layers during functional API construction, which is unsupported.

Updating the models to avoid this would subtly change the variable names and break the pre-existing tf1-style name-based checkpoints, so for now we will just disable the KerasTensors refactoring for these models.

PiperOrigin-RevId: 323937426

071bb243

Pre-emptively disable the KerasTensors refactoring for the detection models in... · ccc60760

Tomer Kaftan authored Jul 29, 2020

Pre-emptively disable the KerasTensors refactoring for the detection models in tensorflow models/official/vision/detection, because they rely on several unsupported things that will stop working entirely when the refactoring goes live.

Specifically:
* The custom layers implement `__call__` instead of `call` and rely on manually enter the keras backend graph
* The vision models try to use `tf.while_loop` as Keras op layers during functional API construction, which is unsupported.

Updating the models to avoid this would subtly change the variable names and break the pre-existing tf1-style name-based checkpoints, so for now we will just disable the KerasTensors refactoring for these models.

PiperOrigin-RevId: 323937426

ccc60760