GitLab

* Workarond for memory issue in eager mode.

* Add a TODO

* Fix typo

* Address comments

* remove patch which appear hacky.

* fix typo

* Add exp_per_second history to hook.

- Add tracking exp_per_second to benchmark tests.

* remove turn off dist strat.

* Average all results.

* One device from contrib to core.

* remove test code.

* Manually scale the loss in Resnet DS model

* Update resnet_run_loop.py

* Add a flag to specify distribution strategies.

* Fix a small error.

* Address comments.

* Address comments.

* Fix typos.

* fix test benchmark_graph_1_gpu_no_dist_strat failing

- Failure only occurs when all 1_gpu tests are run
together with the error:
tensorflow.python.framework.errors_impl.NotFoundError:
Resource localhost/logdir:/tmp/cifar10_model/
N10tensorflow22SummaryWriterInterfaceE does not exist.
[Op:WriteScalarSummary] name: epoch_loss/

Another fix might be to generate a different model_dir
in the core code, but that has other draw backs such as
restarting from the checkpoint.

* Model_dir for all tests.

* Remove contrib thread pool.

* Remove commented out contrib import.

* Fix lint issues.

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

* do not monkey patch on or off if dist_strat is off

* Do not monkey patch if no_dist_strat.

* Fix file permissions.

* fix file permissions.

* Revert change to main.  Add hasattr(tf, 'contrib') to utils

* compat.v1.logging

* tf.compat.v1.get_local_variables.

- Modest speedup for CIFAR-10
- Slightly greater speedup expected for ImageNet ResNet50.

* 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.