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* use proper temp directory for end to end tests.

* add supers to tearDown

Make TFGAN tutorial Python 3 compatible. Fixes issue #3413

This commit adds a basic end to end test for resnet cifar10 and imagenet models to check for syntax errors outside of the core neural net code. 

Add pkulzc to object_detection owners.

plot shown in vis_segmentation

remove duplicate flags

Update dataset examples

Fix typo in paper's arxiv.org url

* Update resnet with logging utils

* intermediate commit

* commit before rebase from master

* Add tests of ExamplePerSecondHook

* Done with test

* Fix a style nit

* Fix a style nit

Add data schema for the benchmark run in Bigquery.

* Removing dependency on tf.test

* New lines

1. Added Tensorflow version information.
2. Added environment variables.
3. Fix typo for hyperparameters.
4. Added cloud related information.

restore --version flag in resnet parser

Create groups of arg parsers and convert the official resnet model to
the new arg parsers.

The current schema contains the entity information about model
and train data metadata, as well as machine config. Future change
will contain benchmark metric.

The json schema can be used to create bigquery table. A sample
table can be found in
https://bigquery.cloud.google.com/table/tf-benchmark-dashboard:test_benchmark.benchmark_run.

* Internal change.

PiperOrigin-RevId: 187042423

* Internal change.

PiperOrigin-RevId: 187072380

* Opensource float and eight-bit fixed-point mobilenet_v1 training and eval scripts.

PiperOrigin-RevId: 187106140

* Initial check-in for Mobilenet V2

PiperOrigin-RevId: 187213595

* Allow configuring batch normalization decay and epsilon in MobileNet v1

PiperOrigin-RevId: 187425294

* Allow overriding NASNet model HParams.

This is a change to the API that will allow users to pass in their own configs
to the building functions, which should make these APIs much more customizable
for end-user cases.

This change removes the use_aux_head argument from the model construction
functions, which is no longer necessary given that the use_aux_head option is
configurable in the model config. For example, for the mobile ImageNet model,
the auxiliary head can be disabled using:

config = nasnet.mobile_imagenet_config()
config.set_hparam('use_aux_head', 0)
logits, endpoints = nasnet.build_nasnet_mobile(
    inputs, num_classes, config=config)
PiperOrigin-RevId: 188617685

* Automated g4 rollback of changelist 188617685

PiperOrigin-RevId: 188619139

* Removes spurious comment

* Adding logging utils

* restore utils

* delete old file

* update inputs and docstrings

* Update import and fix typos

* Fix formatting and comments

* Update tests

* Remove cd and checkout

* Updating comment

replace  `FLAGS.batch_size` by `images.get_shape()[0]`

Fix comment typos under models/research

We can directly get `batch_size` by `images.get_shape()[0]` in `inference` method, since maybe we will not use `cifar.inputs` method to build the input.

Some python files under models/research, it is wrong to use "Rather then" instead of "Rather than" in  comments.

adding deeplab in readme.md file under models/research