GitLab

Modify compression tools to be Python3 compatible.

Update inception model based on tf API changes

Fix regressions caused by a previous change

Update inception model based on tf API changes: replace tf.op_scope with tf.name_scope and tf.variable_op_scope with tf.variable_scope; fix the order of arguments for tf.concat; replace tf.mul with tf.multiply.

Force new instance creation in MultiRNNCell (See also CL 145094809)

update another initializer change

update the initializer changes from december

slim: Typos at datasets/flowers.py

Update README.md

tf.contrib.deprecated elimination bugfix for tf version 12

Update the embedding README to be compatible with Mac

* Update resnet to run with tf r0.12 API.
1. tf.image.per_image_whitening -> tf.image.per_image_standardization
2. Use tf.summary to replace tf.image_summary, tf.scalar_summary, tf.merge_all_summaries.

* remove log

Fixed #903

Fixes #657

Upgrade Bazel in syntaxnet Dockerfile

Ability to train the translation model on arbitrary input sources.

ensure output directory exists

Python 3 support for some inception scripts

Update deprecated function

Update the tensorflow submodule in syntaxnet in order to fix the zlib URL

Added shape to cifar10_input.py

Fixes #893

im2txt: make python3 compatible adding lt and eq

Real NVP code

* Variables defined in ExponentialMovingAverage need not to be shared.

* Address comments.