GitLab

* Add benchmark upload util to bigquery.

Also update the benchmark logger and bigquery schema for the
errors found during the integration test.

* Fix lint error.

* Update test to clear all the env vars during test.

This was causing error since the Kokoro test has TF_PKG=tf-nightly
injected during test.

* Update lintrc to ignore google related package.

* Another attempt to fix lint import error.

* Address the review comment.

* Fix lint error.

* Another fix for lint.

* Update test comment for env var clean up.

* Update the importing logic for cpuinfo and psutil.

Those two libs are usually not installed by default, and we should
not force people to install them if they just want to run resnet.

* Add pylint warning suppression.

* add requirements.txt now that there are dependencies beyond tensorflow

* direct pip info to README

* Init test for logging benchmark run.

* Fix collect CPU info.

* Update max split for handling GPU information.

* Another fix for parse GPU info.

* Fix GPU and CPU info collector.

* Update logging function to be static.

* Remove the cifar10 logging and fix a lint error.

* Address the review comment.

* Fix lint error.

* Fix lint error for logger and logger_test.

* Another lint fix for the test.

* Simplify the CPU info logging.

We will start in a conserative way, and probably add more info in
future.

* Remove unused dependencies.

* Update reset model for benchmark logging.

To enable benchmark logging, just add "--hooks LoggingMetricHook"

* Benchmark logger fix for resnet.

1. Update default at_end to False for metric logger to avoid
checkpoint error.
2. Update resnet run to log final evaluation result.

* Update log output for final eval_result.

* Typo fix.

* Unset the default value for benchmark_log_dir.

Usually the benchmark should be logged to different directly for
each run. Having a default value will hide the choice from user.

* Bug fix for benchmark logger initialization.

* Fix lint error.

* Address the review comment.

1. Update the logger to cover evaluation result.
2. Move the flag to performance parser.

* Undo the change for arg_parser.

* Glint everything

* Adding rcfile and pylinting

* Extra newline

* Few last lints

1. Update logger to convert the value type to float to please JSON.
2. Update logger test to call parent test tearDown.