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input_url doesn't get correct url string in Windows. The os.path.join() function add "\\" to the path, and it resulted invalid URL for the data file.

* Add CIFAR-10 support for keras application models.

Explicitly pass values kwarg to tf.name_scope as it is currently being treated as the default_name kwarg instead. This causes an exception to be thrown in eager mode.

We've deprecated the "tower" terminology in DistributionStrategy, so the "cross_tower_ops" argument is now "cross_device_ops", matching the current name of "AllReduceCrossDeviceOps".

`num_replicas` is being replaced by `num_replicas_in_sync` and something that returns the number of steps running concurrently.

This tag should match EVAL_HP_NUM_NEG.

I've noticed sometimes the async process's pool processes do not die when ncf_main.py ends and kills the async process. This commit fixes the issue.

* Keras-ify TPU embedding lookup

* delint

* pull get_variable() out of keras lambda

* delint

* move get_variable under variable scope

* Merges TPU-TC optimizations into HEAD.

* Split a line that went over 80 from a tab.

* Remove trailing whitespace.

The option is --nouse_estimator

--ml_perf now just changes the model to make it MLPerf compliant. --output_ml_perf_compliance_logging adds the MLPerf compliance logs.

prevent async process from writing alive file until the main process has created the cache root (#5614)

The error message was:

absl.flags._exceptions.IllegalFlagValueError: flag --ml_perf=None: ('Non-boolean argument to boolean flag', 'None')

* move version check to a function

* delint

* tweak pip check

* delint

To match new terminology in DistributionStrategy.

* first pass at __getattr__ abuse logger

* first pass at adding tags to NCF

* minor formatting updates

* fix tag name

* convert metrics to python floats

* getting closer...

* direct mlperf logs to a file

* small tweaks and add stitching

* update tags

* fix tag and add a sudo call

* tweak format of run.sh

* delint

* use distribution strategies for evaluation

* address PR comments

* delint and fix test

* adjust flag validation for xla

* add prefix to distinguish log stitching

* fix index bug

* fix clear cache for root user

* dockerize cache drop

* TIL some regex magic

* intermediate commit

finish replacing spillover with resampled padding

intermediate commit

* resolve merge conflict

* intermediate commit

* further consolidate the data pipeline

* complete first pass at data pipeline refactor

* remove some leftover code

* fix test

* remove resampling, and move train padding logic into neumf.py

* small tweaks

* fix weight bug

* address PR comments

* fix dict zip. (Reed led me astray)

* delint

* make data test deterministic and delint

* Reed didn't lead me astray. I just can't read.

* more delinting

* even more delinting

* use resampling for last batch padding

* pad last batch with unique data

* Revert "pad last batch with unique data"

This reverts commit cbdf46efcd5c7907038a24105b88d38e7f1d6da2.

* move padded batch to the beginning

* delint

* fix step check for synthetic data

Since we plan on deleting this method, it is only used in distribution_utils_test.py.

* move flagfile into the cache_dir

* remove duplicate code

* delint

* Use data_dir instead of flags.FLAGS.data_dir in data_preprocessing.py.

* Use data_dir instead of flags.FLAGS.data_dir in data_preprocessing.py.

* Replace multiprocess pool with popen_helper.get_pool() in data_preprocessing.