GitLab

Update blog_estimators_dataset.py requires r1.4 for tf.data

Added assert for TensorFlow r1.4 since tf.data is required.

Add autograd v1.1.13 dependency to manual install

* Release DRAGNN bulk networks

Fix SyntaxNet/DRAGNN Dockerfile build

Attention OCR: Add missing is_training to batch_norm and dropout

#attention_ocr: fix deprecation warnings and update usage examples

Consistent, fixed-width printing from adversarial crypto example.

correct faster rcnn nas link.

fix preprocessor builder to pass correct kwargs to random_crop_pad op.

update ssd anchor generator and model zoo

* add configs corresponding to new models in the zoo.
* add warinings aboud version in notebook.

Grammar fix

Train wide_deep.py for longer for more consistent results that match the tutorials

Fix TensorFlow link in README.md

Shuffle an exact epoch of 32561 examples in wide_deep.py rather than 100k

add interpolated scale at a give aspect ratio. This change breaks
the existing checkpoints because the anchor orders are different.

This change should be merged along newly generated frozen ssd models.

Make wide_deep_test much less flaky and more thorough

Fix #2713

Changing tf.contrib.data to tf.data for release of tf 1.4

- add patch package to make bazel work with @opt
- CI configured is trying to get git version, which lead to fail since the parents folders are not copied
- bazel version was too old for the new tensorflow version
- bazel not finding PYTHON_BIN_PATH, add ENV command as a workaround