GitLab

* 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

* Adding logging utils

* restore utils

* delete old file

* update inputs and docstrings

* make /official a python module

* remove /utils directory

* Update readme for python path setting

* Change readme texts

* Adding option to run with synthetic data.

* Adding option to run with synthetic data.

Adding option to run with synthetic data.

Adding option to run with synthetic data.

Debugging

Debugging

Debugging

Removing dataset

Removing dataset

Updating comments

Updating tests

Updating tests

Clarifying name of fn

Tests

* Copy pasta

* Using dataset as recommended by mrry

* Updating tests to use datasets

Revert "Support to set inter_op_parallelism_threads and intra_op_parallelism_threads for ResNet (#3502)" (#3518)

This reverts commit ce445976.

* Adding support to set inter_op_parallelism_threads and intra_op_parallelism_threads for official/resnet

* Addressing review comments

In TensorFlow 1.7, the TPUClusterResolver and the TPU RunConfig are changed
to reduce the amount of boilerplate required.

Adding dockerfiles to generate official docker images that can used for running models in this repo on container based platforms (#3399)
Signed-off-by: Vishnu kannan <vishnuk@google.com>

* Refactor and use class-based model for Resnet

* Linting

* Cleanup

* Cleanup in lieu of MNIST changes

* Moving params to init function

* Making learning_rate function

* Testing remotely...

* Testing remotely...

* Testing remotely...

* Testing remotely...

* Testing remotely...

* Respond to CR pt 1

* Respond to CR pt 2

* Respond to CR pt 3

* Respond to CR pt 4

* Adding batch norm vars in

* Exclude batch norm vars as the default

* Fixing CIFAR-10 naming

* Adding multi-GPU code

* Git rewind

* Git add file

* Manual revert

* Fixing tests

* Allowing input thread specification

* Adding comments

* Allowing input thread specification

* Merging resnet files

* Merging resnet files

* Refactoring input methods to allow for Reed's improvements

* Adding comments

* Changing arg name

* Removing contrib shuffle_and_repeat

* Removing contrib shuffle_and_repeat

* Removing contrib shuffle_and_repeat

* Debugging

* Removing with dependency on update_op

* Updating comments.

* Returning dataset directly

* Adding newline

* Adding num_gpus flag

* Refining preprocessing, part 1

* Refinements to preprocessing resulting from multi-GPU tests

* Reviving one-hot labels

* Reviving one-hot labels

* Fixing label shapes

* Removing epoch leftovers

* Adding random flip back in

* Reverting unnecessary linting of test file

* Respond to CR

* Respond to CR

* Respond to CR

* Remove conversion to float

* Remove conversion to float- comment

* Making means full-scale

* Pulling data.take under multi_gpu flag

* Pulling data.take under multi_gpu flag- Cifar

* Pulling data.take under multi_gpu flag- Cifar

* Removing num_gpus

* Removing num_gpus

Add an example showing how to train the MNIST model with eager execution
enabled.

(This change requires changes to TensorFlow made after
the 1.6 release branch was cut, i.e., will require a build
from source or TensorFlow 1.7+)

* Refining preprocessing, part 1

* Refinements to preprocessing resulting from multi-GPU tests

* Reviving one-hot labels

* Reviving one-hot labels

* Fixing label shapes

* Adding random flip back in

* Reverting unnecessary linting of test file

* Respond to CR

* Respond to CR

* Respond to CR

The long path doesn't work for TensorFlow 1.6 because the .python package under cluster_resolver doesn't exist.

* Refactoring input function

* Updating name of variable