Change 109695551
	Update FAQ
Change 109694725
	Add a gradient for resize_bilinear op.
Change 109694505
	Don't mention variables module in docs

	variables.Variable should be tf.Variable.
Change 109658848
	Adding an option to create a new thread-pool for each session.
Change 109640570

	Take the snapshot of stream-executor.
	+ Expose an interface for scratch space allocation in the interface.

Change 109638559
	Let image_summary accept uint8 input

	This allows users to do their own normalization / scaling if the default
	(very weird) behavior of image_summary is undesired.

	This required a slight tweak to fake_input.cc to make polymorphically typed
	fake inputs infer if their type attr is not set but has a default.

	Unfortunately, adding a second valid type to image_summary *disables* automatic
	implicit conversion from np.float64 to tf.float32, so this change is slightly
	backwards incompatible.
Change 109636969
	Add serialization operations for SparseTensor.
Change 109636644
	Update generated Op docs.
Change 109634899
	TensorFlow: add a markdown file for producing release notes for our
	releases.  Seed with 0.5.0 with a boring but accurate description.
Change 109634502
	Let histogram_summary take any realnumbertype

	It used to take only floats, not it understands ints.
Change 109634434
	TensorFlow: update locations where we mention python 3 support, update
	them to current truth.
Change 109632108
	Move HSV <> RGB conversions, grayscale conversions, and adjust_* ops back to tensorflow
	- make GPU-capable version of RGBToHSV and HSVToRGB, allows only float input/output
	- change docs to reflect new size constraints
	- change HSV format to be [0,1] for all components
	- add automatic dtype conversion for all adjust_* and grayscale conversion ops
	- fix up docs
Change 109631077
	Improve optimizer exceptions

	1. grads_and_vars is now a tuple, so must be wrapped when passed to format.
	2. Use '%r' instead of '%s' for dtype formatting

Base CL: 109697989

Changes:
- Fix README example to not include implicit print

Base CL: 108729071

Changes:

- futurize --stage2 changes for Python 3 compatibility by @girving.

- Small updates to documentation by @vrv, schuster and others

- Account for failure of std::thread::hardware_concurrency by @ebrevdo.

- More changes for backwards-compatibility tests by Josh

- Updates to python op doc generation by Josh

- Added support for using the best-fit allocator via ConfigProto by @vrv.

- Rename LocalSession to DirectSession, since local was a bad name for
  it.

- Enable tf.nn.moments() to work with tensors of unknown shape by @mrry.
  GITHUB_ISSUE: 139

- Changes for Android build by Andrew.

Base CL: 107645181

Changes:
- Updates to README / os_setup for common installation issues
  by ebrevdo, vrv, wicke, anelia, dga

- Add a test for backwards compatibility checks by Josh

- Simplifications to tiling/padding of scalars by bsteiner

- Improve listing of devices when no devices are known by Matthieu

Base CL: 107607137

and add tentative Dockerfile for GPU.  Change install instructions
to also suggest upgrading six for Mac.

Base CL: 107379398

Changes:
- Updates to installation instructions.

Base CL: 107352130

Changes:
- More documentation edits, fixes to anchors,
  fixes to mathjax, new images, etc.
- Add rnn models to pip install package.

Base CL: 107312343

Changes:
- Updates to Documentation, README.md, installation
  instructions, anchor links, etc.

- Adds Readme for embedding directory.

Base CL: 107308461

Changes:

- Update a lot of documentation, installation instructions,
  requirements, etc.

- Add RNN models directory for recurrent neural network
  examples to go along with the tutorials.

Base CL: 107290480

Changes:
- Updates to installation instructions.
- Updates to documentation.
- Minor modifications and tests for word2vec.

Base CL: 107284192

TensorFlow is an open source software library for numerical computation
using data flow graphs.

Base CL: 107276108