GitLab

* Add benchmarks with the --cloning flag to Resnet and NFC.

* Renamed cloning to clone_model_in_keras_dist_strat. Dropped a few tests that aren't essential.

* Fixed up the formatting after re-naming the flag to a much longer  name.  Thanks, lint.
* Fixed the lint error in nfc_common.py

* Introduce a short sleep before ds.prefetch in tf.data.

* Further limit dataset threads to reduce CPU contention

* Tuned dataset sleep time

* Rename dataset sleep flag; enable it only for Keras Graph mode

* before moving test cases to the base class

* Added tests for keras cifar and keras imagenet

* fix cifar10_test

* add blank lines

* fix lint errors

* fix lint

* Resolve comments

* Modified two resnet keras tests

* Tests passed

* Remove keras_test_base

* Remove gpu from the no-dist tests

* add ds support for ncf

* remove comments for in_top_k

* avoid expanding the input layers

* resolve comments and fix lint

* Added some comments in code and fix lint

* fix lint

* add some documentation

* add tensorflow imports

* Added main function to the two keras resent benchmarks

* remove asserts

Forgot to add the `dtype='fp16'` flag in previous CL...

* Add benchmarks for dynamic loss scaling.

I add one convergence benchmark and five performance benchmarks.

* Fix lint error

* Add tweaked test for fp16 nonXLA

* Add dummy test for dataset warmup

* Add tests for Resnet data input pipeline

* Added trivial model class to isolate data input pipeline tests

* xla to bs=128 for num_gpu=8

* remove todo

* Added XLA test with a monkey-patched op to avoid OOM

* Added doc strings in Keras benchmarks to avoid Lint error

* Add benchmarks for thread tuning.

* Address comment/

* Add a comment.

Add root_data_dir to constructor of Resnet50KerasBenchmarkSynth and Resnet50KerasBenchmarkReal (#6259)

This is needed to avoid breaking benchmark execution if PerfZero provides more
Named arguments before  the benchmark class constructor is updated.

* Allow user to specify root_data_dir in the benchmark class constructor

* Address comments

* Workarond for memory issue in eager mode.

* Add a TODO

* Fix typo

* Address comments

* remove patch which appear hacky.

* fix typo

* 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.

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

* Fix python style using pyformat

* 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.

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

* fix method name

* Update doc strings.

* Fixe gpu number.

* Added pass/fail and eager tests

* Add eager multi-gpu test.

* Add imagenet end-to-end accuracy test.

* Comment why ['foo']

* remove development test example.

- kears_cifar_main returns dict of stats after run.
- unit tests added for keras_common.
- lint issues fixed in all 4 files.