GitLab

* 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

Fix incompatible usage of 'filter' in Python3

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

This reverts commit ce445976.

* BUG: Fix inception imagenet download script

In `download_imagenet.sh`, the path to the `$SYNSETS_FILE` resource
(imagenet_2012_validation_synset_labels.txt) was not updated to
reflect change in directory after a `cd` earlier in the script.

Fixes #682.

* BUG: Fix slim imagenet download script

In `download_imagenet.sh`, the path to the `$SYNSETS_FILE` resource
(imagenet_2012_validation_synset_labels.txt) was not updated to
reflect change in directory after a `cd` earlier in the script.

Removed extra parentheses

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

* Addressing review comments

Upgrade mnist_tpu.py to use the new TPUClusterResolver.

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

Jenkins, say Goodbye please.

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.