956a770adc772184e5911f964b866028465d1727 for bazel 0.1.2

Change:
	Clean up documentation for ReverseSequence
Change:
	Updated several tensorflow operations to use 32bit indices on GPU.
Change:
	Add attribute batch_dim to ReverseSequenceOp.
Change:
	Fix error in convert_to_records.py.  As reported in
	https://github.com/tensorflow/tensorflow/issues/370
	by AlexUnderMicrocontRoll.
Change:
	Update TensorBoard README.
Change:
	Fixes to boolean flags reported in
	https://github.com/tensorflow/tensorflow/issues/379.  Supports:

	--bool_flag=True  --> True
	--bool_flag=False  --> False
	--bool_flag=gibberish  --> False
	--bool_flag --> True
	--nobool_flag --> False

	Fixes #379
Change:
	Update generated Op docs.
Change:
	Enable local development of TensorBoard using gulp
	Also make tf-tensorboard a regular component rather than special case

	This is mostly effected by creating tfserve.js, which is a small server
	with clever routing to load from bower_components/ and components/ using
	the paths that work within google3.

	Workflow: `gulp serve`
Change:
	Add a full working code example to the tensorboard and summaries tutorial
Change:
	Fix seq2seq_test when running on GPU.

	The "proj_w" and "proj_b" variables were being created before the
	`test_session()`'s device function took effect, which pushed the
	placement algorithm into making an incorrect decision.
Change:
	Add a sentence in TensorBoard README on how to serialize summary data to logs and provide link to the how-to tutorial on the TensorFlow website.
Change:
	Add error-catching code if string_input_producer is supplied a null input.
	Before this change, it would die with an opaque shape error from inside
	the queue.  This change catches (most) python null lists being
	passed directly in, and at runtime detects null tensors.

	Adds two tests for this to input_test.py
Change:
	Speed up for models that use the same variable multiple times in the case
	where variables must be copied across devices:
	- Have Variables wrap the Variable op in an Identity op when converted to Tensor.
	  This avoids multiple copies across devices if a variable is used multiple time
	  in a computation.
	- Add Variable.mutable() to return the non-wrapped Variable op for used when
	  assigning new values.
	- Add an as_ref parameter to convert_to_tensor() to allow code to specify
	  if they plan to assign a new value to the result of the conversion.  Make Variable
	  return the result of Variable.mutable() when as_ref is True.
	- Make all ops that assign values to variables pass as_ref=True when converting
	  their arguments.
Change:
	Change to reduce critical section times in gpu_event_mgr.h:
	(1) Call stream->ThenRecordEvent outside the EventMgr critical section
	(2) Do memory deallocation outside the critical section

	Speeds up one configuration of ptb_word_lm from 2924 words per
	second (wps) to 3278 wps on my desktop machine with a Titan X.
Change:
	Remove some colons that break the open source build

	::tensorflow::StringPiece breaks for @raingo, see
	https://github.com/tensorflow/tensorflow/issues/358.
	tensorflow::StringPiece (without the leading colons)
	seems to fix the problem.
Change:
	Added check that inputs to Operation is a list and make a defensive copy of the input. This is for cases where the input list is changed such as in _add_input.
Change:
	Use standard names for TensorFlow dtypes in the tutorial.
Change:
	Add tests for tensor inputs.
Change:
	Fix build after declaring more types for ops
Change:
	Switch to 32 bit indexing to speedup convolutions and concatenations.
Change:
	Add convert_image op to convert between types for images (similar to OpenCV's cvtScale).
Change:
	Make cast work between numeric types (bool, uint8, int16, int32, int64, float, double).
Change:

	Padding input data for odd number of paddings, so we can use cudnn anyway.
	+ Fix total padding computation when padding==VALID.
	+ This CL makes the Googlenet benchmark run 5x faster.

Change:
	Support IndexedSlices in ConcatGrad
Change:
	* sampled softmax op uses one embedding lookup for positive and negative samples
	* float64 support for sampled softmax
Change:
	Move RNN code out of models.rnn (without breaking existing code).  The API may still undergo minor changes, until full documentation as added.
Change:
	Changed to use per-step stacks for the accumulators used in while-loop gradient computation. This addresses the problem caused by using concat without sufficient static shape information. It should also improve performance as we avoided those expensive concats.
Change:
	Update generated Op docs.
Change:
	Improve error messages when the optimizer finds no variables to minimize or
	when none of the variables has gradients.
Change:
	Say that -1 isn't just for flattening in reshape docs

	Also add scalar reshape (reshape(t, [])) as an example.

	This fixes https://github.com/tensorflow/tensorflow/issues/281.
Change:
	This is a test.

Base CL: 109118714

Changes:
- Fix README example to not include implicit print

Base CL: 108729071

Changes:
- Make compat accessible as tf.compat

Base CL: 108727647

Changes:
- Updates to docs
- Several changes for Python 3 compatibility
- Added license headers

Base CL: 108710566

Changes:

* error message that refers to removed `DefaultSession` method.
* -Wnull-conversion warnings
* the "_start_time" attr for recvs when the flag "--brain_enable_scheduling_for_recvs" is set.
* typo in tutorial data download progress message.
* a typo ("however their installing"=>"however installing").
* typo, rename "TensorFlow Mechanics" to "How To" to be consistent with the website.
* a typo ("subtact"=>"subtract").
* protobuf examples in comments in tensorflow::Example.proto.
* formula formatting in MNIST beginner tutorial
* negative fraction-of-queue-full stats
* protobuf inclusion path so that Android demo will build under Blaze.
* small typo (moderatly > moderately)
* Session.run() to check that tensor arguments come from the session's graph.
* another six import
* seq2seq typo in bazel command

Base CL: 108349164

Changes:

- Remove all large assets from the repoistory, incuding the other 50MiB
  model protobuf and a lot of images in our g3doc directory. We will
  maintain these assets externally for now.  g3doc images may be
  broken for a little bit, but the website will be fine, which
  is the important resource. By @vrv and @petewarden.  Updates
  READMES to reflect the external model resources.

- Fix to saver's latest_checkpoint function by Zhifeng

- Made protos visibility public by @vrv

- Updates to docs by @mrry, Andy

- Embed tensorboard resource for summary icon by Daniel

- More updates to backwars compat by @josh11b

Base CL: 108194981

Changes:
- Add Split/Concat() methods to TensorUtil (meant for convenience, not
  speed) by Chris.

- Changes to linear algebra ops interface by Rasmus

- Tests for tensorboard by Daniel

- Fix bug in histogram calculation by Cassandra

- Added tool for backwards compatibility of OpDefs.  Tool
  Checks in history of opdefs and their changes, checks for
  backwards-incompatible changes.  All done by @josh11b

- Fix some protobuf example proto docs by Oliver

- Add derivative of MatrixDeterminant by @yaroslavvb

- Add a priority queue queue by @ebrevdo

- Doc and typo fixes by Aurelien and @dave-andersen

- Speed improvements to ConvBackwardFilter by @AndyDavis

- Improve speed of Alexnet on TitanX by @zheng-xq

- Add some host memory annotations to some GPU kernels by Yuan.

- Add support for doubles in histogram summary by @jmchen-g

Base CL: 108158338

It is 50MiB, which doesn't belong in git.

It turns out there is a second copy of this graph in the android assets
already too.  That explains why the repo is so large.

(Since we have not accepted external commits yet, we may
 consider rewriting the history to purge these files if
 the size of the repo is a concern).

Base CL: 108016510

a few other changes.

Changes:
- Some improvements to convolution by using 32-bit indices by
  @benoitsteiner. Not all calls converted yet.  Also some
  improvements to pooling as well by @benoitsteiner.

- Improvements to sparse matmul CPU implementation by Ashish

- Some fixes to warnings by @vrv

- Doc fixes to padding by @Yangqing

- Some improvements to Tensor wrappers by Eider

- Speed up of matrix inverse on CPU by Rasmus

- Add an example of doing image inference from a pre-trained model
  by @petewarden.

- fixed formula in mnist example by nodir

- Updates to event accumulator by Cassandra

- Slight changes to tensor c api by @mrry

- Handling of strings in listdiff by Phil

- Fix negative fraction-of-queue-full stats by Frank

- Type-checking improvement to importer by Yaroslav

- logdir recursive search for Tensorboard by @danmane

- Session.run() checks for empty graph by Manoj

Base CL: 108013706

error handling, updates to website.

Changes:
- Removes redundant reshape from image models by @mrry
- Default TensorBoard to localhost by @danmane
- Reformatting of tensorflow/core by @josh11b
- Make tutorials backwards compatible to 0.5.0 by @girving
- Improve print documentation (md files not updated).
- Add proper scrolling to sitemap by @martinwicke

Base CL: 107956254

Changes:
- Bug fix to input.py by @dave-andersen with tests.

- Some fixes to names in the whitepaper

- Include cfloat for FLT_MAX by @benoitsteiner

- Fix broken link in mnist tutorials by @mrry

- Typos and fixes to documentation by @Sohl-Dickstein, @ebrevdo, @vrv,
  Yaroslav, @martinwicke

- Fixed unnecessary check around a delete by @girving

- More compatibility tests by @josh11b

- Misc other typos and fixes by Googlers.

Base CL: 107944070

Changes:
- Fix softmax formula in word2vec to remove an extra exp()
  by @gouwsmeister

- Python3 fixes to remove basestring / support for unicode by @mrry

- Remove some comments by Josh

- Specify exact versions of bower dependencies for TensorBoard by
  @danmane.

Base CL: 107742361

Changes:
- Ptrdiff -> DenseIndex change by @jiayq

- Fix to scoping the logging in logging.py by @dga

- Improvement to Conv2DBackpropFilter on CPU by Andy

- Remove lookup table wrappers for the time being (wasn't in our
  public API yet) by Yukata

- Add a check similar to numpy to make sure the user isn't in the
  tensorflow src directory by @vrv

- More changes for  python 3 compat by @girving

- Make dropout preserve shape info from input (@mrry)

- Significant speed improvements by @zheng-xq to BFC allocator to bring
  on par (CPU overhead-wise) to the region allocator.  Make BFC
  allocator the default now that it's working well for a variety
  of models.

- Fix a bunch of typos reported by users (@vrv)

- Enable concat for bfloat16 on GPU by Ashish.

Base CL: 107733123

Changes:
- Updates to op documentation and index by Josh

- More changes to BUILD files for python 3 support by @girving

- Fix to Eigen to use DenseIndex everywhere by @jiayq

- Enable configuration for cuda compute capability by @zheng-xq,
  including updates to docs.

- Route aggregation method through optimizer by schuster

- Updates to install instructions for bazel 0.1.1.

Base CL: 107702099

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

Base CL: 107547091

Base CL: 107543097

Changes:

- Fix typos across several files contributed by Erik Erwitt,
  and Michael R. Berstein

- Fix bug in translate example (fr->en typo) by schuster

- Updates to some documentation (mcoram,shlens,vrv,joshl)

- Fix to Android camera demo app window size detection (andrewharp)

- Fix to support lookup table of high rank tensors (yleon)

- Fix invalid op names for parse_example (dga)

Base CL: 107531031

Changes:

- Some changes to make our ability to handle external contributions
  simpler (e.g., adding some markers, adding empty __init__.py files).

- Fixing documentation of SummaryWriter.add_summary().

- Some input validation changes for queues/barriers.

- Fixing the ptb tutorial (thanks to @kentonl for reporting),
  fixes, github issue 52.

- Some documentation suggestions for dealing with a few install
  problems.

- Speed improvements to conv2d gradient kernels on CPU.

- More documentation fixes for the website.  Thanks to @makky3939 and
  @keonkim for reports.

- Changes / fixes to the Docker files.

- Changes build_pip_package to not create an sdist.

- Adds tensorboard example script.

Base CL: 107445267

bug fixes -- reindents to 2 for some of the files to match our internal
requirements.

Thanks to Martin Andrews for the basic_usage.md suggested fix via
Gerrit.

Base CL: 107394029

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

Base CL: 107379398

Changes:
- Lot of updates to docs.

Base CL: 107357203

Changes:
- Doc type fixes.

Base CL: 107356208

Changes:
- Update to OS X install instructions.

Base CL: 107355822

Changes:
- Correct number of CPUs reported on mac.
- Doc updates.

Base CL: 107355041

Changes:
Fix anchor for github.

Base CL: 107352236

Changes:
- Updates to installation instructions.

Base CL: 107352130

Changes:
- Documentation updates.
- Relax numpy requirement to 1.9.2

Base CL: 107349632

Changes:
- Docuementation changes.
- Update URL for protobuf submodule.

Base CL: 107345722

Changes:
- Documentation updates.
- Specify numpy version in required packages.

Base CL: 107344010

Changes:
- Documentation changes: adding some examples
  for adding_an_op, fixes to some of the markdown,
  updates to docstrings, etc.

- Remove Dockerfile for now -- still undergoing
  changes.

Base CL: 107341050

Changes:
- Update whitepaper
- Fix some names in docs.

Base CL: 107313143

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