GitLab

* Add profiler callback for Keras models

* Update build stats to identify time callback by type

* Add warning message when both TensorBoard and profiler callbacks are used

* Add benchmarks for dynamic loss scaling.

I add one convergence benchmark and five performance benchmarks.

* Fix lint error

This should give better performance in tweaked benchmarks.

Reason: break 1-gpu nightly test.

This reverts commit 371645fc.

Don't pass `batch_size` to keras.layers.Input in DS multi-replica case. There is currently a bug in Keras side which will cause a batch size incompatible error.

* Update resnet_model.py

* Ensure static shapes when enabling XLA.

* Define `drop_remainder` as a variable.

* Handles per_replica_batch_size in non-XLA mode

* Remove trailing whitespace.

* Add tweaked test for fp16 nonXLA

* Add dummy test for dataset warmup

Co-authored-by: Jiri Simsa <jsimsa@google.com>

* Add tests for Resnet data input pipeline

* Added trivial model class to isolate data input pipeline tests

* Move distribution strategy creation before creating any ops, which is
required by multi-node collective ops in eager mode.

* Scale up learning rate according to num workers in ResNet50 w/
Estimator.

* Scale up LR in cifar.

* Fix a typo.

* Add num_workers to run param as well. Make num_worker optional in
params.

* initial commit

* bug fix

* Move build_stats from common to keras main, because it is only applicable in keras

* remove tailing blank line

* add test for synth data

* add kwargs to init

* add kwargs to function invokation

* correctly pass kwargs

* debug

* debug

* debug

* fix super init

* bug fix

* fix local_flags

* fix import

* bug fix

* fix log_steps flag

* bug fix

* bug fix: add missing return value

* resolve double-defined flags

* lint fix

* move log_steps flag to benchmarK flag

* fix lint

* lint fix

* lint fix

* try flag core default values

* bug fix

* bug fix

* bug fix

* debug

* debug

* remove debug prints

* rename benchmark methods

* flag bug fix for synth benchmark

* Initial commit

* Fininshed

* bug fix

* bug fix

* bug fix

* Resolve review comments

* Typo fix

* resolve comments

* fix number error

* Resolve comments

* from NCF_input import NCFDataset for line 181

The type __NCFDataset__ is used in the type declaration on line 81 but it is never imported.

[flake8](http://flake8.pycqa.org) testing of https://github.com/tensorflow/models on Python 3.7.1

$ __flake8 . --count --select=E9,F63,F72,F82 --show-source --statistics__
```
./official/recommendation/data_preprocessing.py:180:3: F821 undefined name 'NCFDataset'
  # type: (str, str, dict, typing.Optional[str], bool, typing.Optional[str]) -> (NCFDataset, typing.Callable)
  ^
1    F821 undefined name 'NCFDataset'
1
```
__E901,E999,F821,F822,F823__ are the "_showstopper_" [flake8](http://flake8.pycqa.org) issues that can halt the runtime with a SyntaxError, NameError, etc. These 5 are different from most other flake8 issues which are merely "style violations" -- useful for readability but they do not effect runtime safety.
* F821: undefined name `name`
* F822: undefined name `name` in `__all__`
* F823: local variable name referenced before assignment
* E901: SyntaxError or IndentationError
* E999: SyntaxError -- failed to compile a file into an Abstract Syntax Tree

* int, int, data_pipeline.BaseDataConstructor

https://mypy.readthedocs.io/en/latest/cheat_sheet.html

[flake8](http://flake8.pycqa.org) testing of https://github.com/tensorflow/models on Python 3.7.1

$ __flake8 . --count --select=E9,F63,F72,F82 --show-source --statistics__
```
./official/recommendation/data_pipeline.py:346:41: F821 undefined name 'string'
               epoch_dir=None           # type: string
                                        ^
```

required by multi-node collective ops in eager mode.

tf.to_int32 raise deprecated warning.
change tf.to_int32(labels) to tf.cast(labels, tf.int32)

Added missing 's' character in "install". Added link to pyglet documentation.

233991726  by Sergio Guadarrama:

    Internal change

231925959  by Sergio Guadarrama:

    Internal change

231253502  by Sergio Guadarrama:

    Internal change

229973546  by Sergio Guadarrama:

    Internal change

229870842  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 233991726

* Add `input_context` to `input_fn` in cifar10_main.

* Change sharding log message to be consistent with `dataset.shard` params.

* Lint

* Shard input for distribution strategy.

* Pass in input_context from real input_fn.

* Pass in input_context from real input_fn.

* Make pipeline id base 1 for better readability.

* Add support for TPUEstimator to data processing pipeline and add the ability to store epochs in user specified location.

* Fix ncf test for keras

* add a todo for batch_size and eval_batch_size for ncf keras

* lint fix

* fix typos

* Lint fix

* fix lint

* resolve pr comment

* resolve pr comment