Merge changes from github.

END_PUBLIC

---
Commit b30ce4714 authored by James Qin<jamesqin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Revamp CudnnRNN Saveables

1. Use a lossy way to save/restore cudnn biases during checkpointing.
Cudnn uses 2 biases each gate for all RNNs while tf uses one. To allow cudnn checkpoints
to be compatible with both Cudnn and platform-independent impls, previously both
individual bias and summed biases each gate were stored.
The new way only stores the bias sum for each gate, and split it half-half when
restoring from a cudnn graph. Doing this does not cause problems since RNNs do not use
weight-decay to regularize.

2. Use inheritance instead of branching
* Split RNNParamsSaveable to 1 base class and 4 subclasses.
* Extract common routines and only overwrite rnn-type-specific pieces in subclasses.

PiperOrigin-RevId: 166413989

---
Commit ebc421daf authored by Alan Yee<alyee@ucsd.edu>
Committed by Jonathan Hseu<vomjom@vomjom.net>:
Update documentation for contrib (#12424)

* Update __init__.py

Remove ## for standardization of api docs

* Create README.md

Add README to define this directory's purpose

* Update __init.py

Markdown styling does not show up well in api docs

* Update README.md

Add short mention of describing what to deprecate

* Update README.md

Capitalize title

* Update README.md

Revert README change

* Delete README.md

---
Commit fd295394d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use latest version of nsync library, which now allows use of cmake on MacOS.

PiperOrigin-RevId: 166411437

---
Commit 587d728e0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Refactor reduce-precision-insertion filters, add several more options.

In particular, this adds the ability to add reduce-precision operations after fusion nodes based on the contents of those fusion nodes, and the ability to filter operations based on the "op_name" metadata.

PiperOrigin-RevId: 166408392

---
Commit 3142f8ef5 authored by Ali Yahya<alive@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Steps toward making ResourceVariables compatible with Eager.

This change forces the value of the reuse flag in variable scopes to be tf.AUTO_REUSE when in Eager mode.

This change also adds comprehensive Eager tests for ResourceVariable.

PiperOrigin-RevId: 166408161

---
Commit b2ce45150 authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Graph::IsValidNode public

It can be reimplemented with existing public APIs, but instead of doing so,
making this one public seems better.

PiperOrigin-RevId: 166407897

---
Commit 0a2f40e92 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA::CPU] Fix HLO profiling in parallel CPU backend.

PiperOrigin-RevId: 166400211

---
Commit c4a58e3fd authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Identify frame ids for all nodes in a graph.

PiperOrigin-RevId: 166397615

---
Commit 989713f26 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166294015

PiperOrigin-RevId: 166521502

1 files changed, 11 insertions, 11 deletions

diff --git a/tensorflow/tools/pip_package/pip_smoke_test.py b/tensorflow/tools/pip_package/pip_smoke_test.py
index 9cdd6410e0..cc46dd5162 100644
--- a/tensorflow/tools/pip_package/pip_smoke_test.py
+++ b/tensorflow/tools/pip_package/pip_smoke_test.py
@@ -25,16 +25,16 @@ from __future__ import print_function
 
 import subprocess
 
-PIP_PACKAGE_QUERY = """bazel query \
-  'deps(//tensorflow/tools/pip_package:build_pip_package)'"""
+PIP_PACKAGE_QUERY_EXPRESSION = \
+  'deps(//tensorflow/tools/pip_package:build_pip_package)'
 
-PY_TEST_QUERY = """bazel query 'deps(\
+PY_TEST_QUERY_EXPRESSION = 'deps(\
   filter("^((?!benchmark).)*$",\
   kind(py_test,\
   //tensorflow/python/... \
   + //tensorflow/contrib/... \
   - //tensorflow/contrib/tensorboard/... \
-  - attr(tags, "manual|no_pip", //tensorflow/...))), 1)'"""
+  - attr(tags, "manual|no_pip", //tensorflow/...))), 1)'
 
 # Hard-coded blacklist of files if not included in pip package
 # TODO(amitpatankar): Clean up blacklist.
@@ -83,15 +83,15 @@ def main():
   """
 
   # pip_package_dependencies_list is the list of included files in pip packages
-  pip_package_dependencies = subprocess.check_output(
-      PIP_PACKAGE_QUERY, shell=True)
+  pip_package_dependencies = subprocess.check_output([
+      'bazel', 'query', PIP_PACKAGE_QUERY_EXPRESSION])
   pip_package_dependencies_list = pip_package_dependencies.strip().split("\n")
   print("Pip package superset size: %d" % len(pip_package_dependencies_list))
 
   # tf_py_test_dependencies is the list of dependencies for all python
   # tests in tensorflow
-  tf_py_test_dependencies = subprocess.check_output(
-      PY_TEST_QUERY, shell=True)
+  tf_py_test_dependencies = subprocess.check_output([
+      'bazel', 'query', PY_TEST_QUERY_EXPRESSION])
   tf_py_test_dependencies_list = tf_py_test_dependencies.strip().split("\n")
   print("Pytest dependency subset size: %d" % len(tf_py_test_dependencies_list))
 
@@ -124,9 +124,9 @@ def main():
     for missing_dependency in missing_dependencies:
       print("\nMissing dependency: %s " % missing_dependency)
       print("Affected Tests:")
-      rdep_query = """bazel query 'rdeps(kind(py_test, \
-      //tensorflow/python/...), %s)'""" % missing_dependency
-      affected_tests = subprocess.check_output(rdep_query, shell=True)
+      rdep_query = 'rdeps(kind(py_test, \
+      //tensorflow/python/...), %s)' % missing_dependency
+      affected_tests = subprocess.check_output(['bazel', 'query', rdep_query])
       affected_tests_list = affected_tests.split("\n")[:-2]
       print("\n".join(affected_tests_list))