GitLab

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

Project import generated by Copybara. fixes #16593

Fix some minor API issues.

Added new MaskGAN model.

Update TF version for Keras change.

* Merged commit includes the following changes:
186565198  by Sergio Guadarrama:

    Applied random_hsv_in_yiq in inception_preprocessing.

--
186501039  by Sergio Guadarrama:

    Applied random_hsv_in_yiq in inception_preprocessing.

--
186013907  by Sergio Guadarrama:

    Internal change

185715309  by Sergio Guadarrama:

    Obviates the need for prepadding on mobilenet v1 and v2 for fully convolutional models.

--
184266252  by Sergio Guadarrama:

    Give build_nasnet_*() functions an optional flag use_aux_head,
    and add an internal-only arg scope to NasNetA*Cell._apply_drop_path().

--
183865228  by Sergio Guadarrama:

    Internal change

179580924  by Sergio Guadarrama:

    Internal change

177320302  by Sergio Guadarrama:

    Internal change

177130184  by Sergio Guadarrama:

    Make slim nets tests faster by using smaller examples of oversized inputs.

--
176965289  by Sergio Guadarrama:

    Internal change

176585260  by Sergio Guadarrama:

    Internal change

176534973  by Sergio Guadarrama:

    Internal change

175526881  by Sergio Guadarrama:

    Internal change

174967704  by Sergio Guadarrama:

    Treat num_classes=0 same as None in a few slim nets overlooked by the recent
    change.

--
174443227  by Sergio Guadarrama:

    Internal change

174281864  by Sergio Guadarrama:

    Internal change

174249903  by Sergio Guadarrama:

    Fix nasnet image classification and object detection by moving the option to turn ON or OFF batch norm training into it's own arg_scope used only by detection

--
173954505  by Sergio Guadarrama:

    Merge pull request #2651 from sguada/tmp1

    Fixes imports

    Closes #2636

    ORIGINAL_AUTHOR=Jon Shlens <shlens@users.noreply.github.com>
    COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/models/pull/2636 from tensorflow:sguada-patch-1 19ff570f52df5ab655c00fb439129b201c5f2dce

--
173928094  by Sergio Guadarrama:

    Remove pending imports

--

PiperOrigin-RevId: 186565198

* Remove internal links.

mobilenet_v1 train and eval script and quantization support.

Corrected number of shots in research/learning_to_remember_rare_events/train.py (method Trainer.run)

Fix extra -- when not using the bazel command line.

* ENH: Modified autoencoder to accept multilayer autoencoders

* ENH: Modified autoencoder to accept multilayer autoencoders

* Cleanup of commented code.

Delete "tutorials/rnn/translate" 

__rgb_resnet_v2_50_path__ is defined on line 28.

PiperOrigin-RevId: 186781401

Fix github issue #3269 where the accuracy is wrongly underestimated for binary classification and build issue #2784

Move gen_data and gen_vocab to parent directory to prevent import madness in the open-source code. Remove unnecessary bazel dependency and documentation in README.

PiperOrigin-RevId: 186638059

Fix license text

Seems like it was changed accidentally as it is different than any of the other files.

PiperOrigin-RevId: 186541910