GitLab

* Remove contrib thread pool.

* Remove commented out contrib import.

* Fix lint issues.

* move tf.data.options higher. Tweak line breaks.

As discussed here: https://github.com/tensorflow/tensorflow/issues/11312, this change allows this script to work in Python 3.

* Add pure synthetic data to keras resnet mode.

* Add imports.

* Address comments.

* update comment

* Undo set up synthetic data for real data path.

* update comment

* Address comment

* Remove trailing whiltespaces.

* s/make_data_set_iterator/make_dataset_iterator/

This reverts commit 57e07520.

This reverts commit d6b2b83c.

* Add resnet56 short tests. (#6101)

* Add resnet56 short tests.
- created base benchmark module
- renamed accuracy test class to contain the word Accuracy
which will result in a need to update all the jobs
and a loss of history but is worth it.
- short tests are mostly copied from shining with oss refactor

* Address feedback.

* Move flag_methods to init
- Address setting default flags repeatedly.

* Rename accuracy tests.

* Lint errors resolved.

* fix model_dir set to flags.data_dir.

* fixed not fulling pulling out flag_methods.

* Use core mirrored strategy in official models (#6126)

* Imagenet short tests (#6132)

* Add short imagenet tests (taken from seemuch)
- also rename to match go forward naming

* fix method name

* Update doc strings.

* Fixe gpu number.

* points default data_dir to child folder. (#6131)

Failed test is python2  and was a kokoro failure

* Imagenet short tests (#6136)

* Add short imagenet tests (taken from seemuch)
- also rename to match go forward naming

* fix method name

* Update doc strings.

* Fixe gpu number.

* Add fill_objects

* fixed calling wrong class in super.

* fix lint issue.

* Flag (#6121)

* Fix the turn_off_ds flag problem

* add param names to all args

* Export benchmark stats using tf.test.Benchmark.report_benchmark() (#6103)

* Export benchmark stats using tf.test.Benchmark.report_benchmark()

* Fix python style using pyformat

* Typos. (#6120)

* log verbosity=2 logs every epoch no progress bars (#6142)

* tf_upgrade_v2 on resnet and utils folder.

* tf_upgrade_v2 on resnet and utils folder.

* Export benchmark stats using tf.test.Benchmark.report_benchmark()

* Fix python style using pyformat

* Fix the turn_off_ds flag problem

* add param names to all args

* Add short imagenet tests (taken from seemuch)
- also rename to match go forward naming

* fix method name

* Update doc strings.

* Fixe gpu number.

* Add fill_objects

* fixed calling wrong class in super.

* fix lint issue.

Failed test is python2  and was a kokoro failure

* Add short imagenet tests (taken from seemuch)
- also rename to match go forward naming

* fix method name

* Update doc strings.

* Fixe gpu number.

* Add resnet56 short tests.
- created base benchmark module
- renamed accuracy test class to contain the word Accuracy
which will result in a need to update all the jobs
and a loss of history but is worth it.
- short tests are mostly copied from shining with oss refactor

* Address feedback.

* Move flag_methods to init
- Address setting default flags repeatedly.

* Rename accuracy tests.

* Lint errors resolved.

* fix model_dir set to flags.data_dir.

* fixed not fulling pulling out flag_methods.

Explicitly allow for script execution from any directory.  Make env vars visible in python script. (#6105)

* Update README.md

1. Clarify instructions to avoid friction. https://github.com/tensorflow/tensorflow/issues/24136
2. If trying to run in Colab experienced issue entering Python path. https://medium.com/@cwcgchello/how-to-set-pythonpath-in-colab-bf8c239c7c29

* Update README.md

This file was re-located below the tensorflow/lite/g3doc/convert
Signed-off-by: MyungSung Kwak <yesmung@gmail.com>

* Change to gfile.Exists and deeper link to CIFAR-10

* fix lint and use tf.gfile

228203246  by Sergio Guadarrama:

    Add a write text graphdef option.

--
226110161  by Sergio Guadarrama:

    Add license to i3d/s3dg and tests.

--
226074013  by Sergio Guadarrama:

    Network definitions for I3D and S3D-G.

--
224394404  by Sergio Guadarrama:

    Add video model option for exported inference graphs.

--
224220779  by Sergio Guadarrama:

    Internal change

223589268  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 228203246

It currently fails with
TypeError: not all arguments converted during string formatting

* Added pass/fail and eager tests

* Add eager multi-gpu test.

Changes in Tensorflow contrib:
https://github.com/tensorflow/tensorflow/commit/304faf0444260912b6996d39227417c09561c37e

Causes tensortt.py to fail. 

```
AttributeError: 'module' object has no attribute 'get_signature_def_by_key'
```
Replace `tf.contrib.saved_model.get_signature_def_by_key` with `meta_graph_def.signature_def`

* Single timestamp list and return average_exp_per_second.

* Add paren to subtract before division.

* Remove duplicate elif case in _check_and_convert_legacy_input_config_key

* Remove duplicate eval_input_path case.

* Add timestamp history for each batch in training

* Resolve github comments

* Change the batch start recording logic

* Lint fix

* Add imagenet end-to-end accuracy test.

* Comment why ['foo']

* remove development test example.

* Add end-to-end tests for Estimator.

* comment from keras to estimator.

* remove trailing new line

* Set use_bias=False for conv layers in Keras ResNet model

* Removed bias regularizer from Conv2D layers (which should have no effect after bias is removed)

* Setting default data format based on available devices.

* Handle data format in Keras ResNet model properly for better performance on GPU; Compile only the training graph when skip_eval flag is True

* Added data format fix to Keras Cifar model; Removed unnecessary import

* Add a comment to the skip_eval flag per Priya's request