TensorFlow: update left nav bar

Base CL: 109547821

Change 109544196
	Clean up the introductory text of the tutorial.

Base CL: 109546821

Change 109540764
	TensorFlow: some edits to image_recognition tutorial.

Base CL: 109540774

Change 109537918
	TensorFlow pip setup: wheel >= 0.26 for python3 pip install
Change 109505848
	Fix distortion default value to 1.0 in fixed_unigram_candidate_sampler. This means we default to the actual provided unigram distribution, instead of to the uniform (as it is currently).
Change 109470494
	Bugfix in gradients calculation when the ys rely on each other.
Change 109467619
	Fix CIFAR-10 model to train on all the training data instead of just 80% of it. Fixes #396.
Change 109467557
	Replaced checkpoint file with binary GraphDef.
Change 109467433
	Updates to C++ tutorial section.
Change 109465269
	TensorFlow: update documentation for tutorials to not assume use of bazel
	(when possible).
Change 109462916
	A tutorial for image recognition to coincide with the release of the latest Inception image classification model.
Change 109462342
	Clear control dependencies in variable_scope.get_variable() when creating
	ops for the initializer.

	Add tests of various error conditions.
Change 109461981
	Various performance improvements in low-level node execution code paths.

	Speeds up ptb_word_lm on my desktop with a Titan X from
	3638 words per second to 3751 words per second (3.1% speedup).

	Changes include:

	o Avoided many strcmp operations per node execution and extra touches
	of cache lines in executor.cc, by making all the various IsMerge,
	IsSwitch, IsSend, etc. operations instead be based on an internal enum
	value that is pre-computed at Node construction time, rather than doing
	string comparisons against node->type_string().  We were doing about
	6 such comparisons per executed node.

	o Removed mutex_lock in executor.cc in ExecutorState::Process.  The
	lock was not needed and the comment about the iterations array being
	potentially resized is not true (the iterations arrays are created
	with a fixed size).  Checked with yuanbyu to confirm this.

	o Added new two-argument port::Tracing::ScopedAnnotation constructor
	that takes two StringPiece arguments, and only concatenates them
	lazily if tracing is enabled.  Also changed the code in
	platform/tracing.{h,cc} so that the ScopedAnnotation constructor and
	the TraceMe constructor can be inlined.

	o In BaseGPUDevice::Compute, used the two-argument ScopedAnnotation
	constructor to avoid doing StrCat(opkernel->name(), ":",
	op_kernel->type_string()) on every node execution on a GPU.

	o Introduced a new TensorReference class that just holds a reference to an
	underlying TensorBuffer, and requires an explicit Unref().

	o Changed the EventMgr interface to take a vector of TensorReference objects
	for EventMgr::ThenDeleteTensors, rather than a vector of Tensor objects.

	o Used TensorReference in a few places in gpu_util.cc

	o Minor: switched to using InlinedVectors in a few places to get better
	cache locality.
Change 109456692
	Updated the label_image example to use the latest Inception model
Change 109456545
	Provides classify_image which performs image recognition on a 1000 object label set.

	  $ ./classify_image
	  giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca (score = 0.88493)
	  indri, indris, Indri indri, Indri brevicaudatus (score = 0.00878)
	  lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens (score = 0.00317)
	  custard apple (score = 0.00149)
	  earthstar (score = 0.00127)

Change 109455002
	TensorFlow: make the helper libraries for various models available
	in the pip package so that when users type:

	python translate.py ...

	the absolute import works.

	This change is supposed to help make our tutorials run without the
	*need* to use bazel.
Change 109450041
	TensorFlow: remove cifar and convolutional binary copies from pip install.
	Adds embedding and some other models to the list.
Change 109448520
	Move the description of a failing invariant from a comment into the dcheck-fail message text.
Change 109447577
	TensorBoard has release tagging (tensorboard/TAG)
	Also track TensorBoard changes (tensorboard/CHANGES)
Change 109444161
	Added ParseSingleSequenceExample + python wrappers + unit tests.
Change 109440864
	Update all the TensorFlow Dockerfiles, and simplify GPU containers.

	This change updates all four of our Dockerfiles to match the targets discussed
	in https://github.com/tensorflow/tensorflow/issues/149. The most notable
	change here is moving the GPU images to use the NVidia containers which
	include cudnn and other build-time dependencies, dramatically simplifying both
	the build and run steps.

	A description of which tags exist and get pushed where will be in a follow-up.
Change 109432591
	Some pylint and pydoc changes in saver.
Change 109430127
	Remove unused hydrogen components
Change 109419354
	The RNN api, although moved into python/ops/, remains undocumented.

	It may still change at any time.

Base CL: 109538006

supports python3

Change 109418220
	Update WORKSPACE to use gmock.BUILD from google/protobuf instead of a duplicate.
	Update google/protobuf's commit hash to include damieng@'s commit.
Change 109417314
	TensorFlow: add .gitignore to ignore some in-tree modified files.
Change 109400051
	Optionally build full TensorFlow for Android.
	1. --define ANDROID_TYPES=__ANDROID_TYPES_FULL__ to register ops
	   for all types, not just float. Today this increases codesize
	   by ~700K when compiled for ARM, though only for clients who
	   request full type support.
	2. Add more ops to android_extended_ops, sufficient to train on
	   the linear regression baseball codelab.
Change 109388118
	Fix the option changed in templatize. Oops.
Change 109382553
	Allows setting a function name in an op's attr in the py frontend.
Change 109380896
	Remove assert_same_graph in favor of op_scope. Change the latter to handle tensor-like objects such as SparseTensor, IndexedSlices, and Variable.

Base CL: 109418322

Change 109366961
	TensorFlow BUILD: now that we have an ops library,
	set linkstatic to 1. This fixes a breakage in the would-be
	opensource build, and it *might* mean we can get rid of
	all of the RequireDefaultOps() calls in our code.

	The ops library is much smaller than the kernels library that was
	previously linked together.  We set linkstatic=0 presumably since we
	didn't want to package a static copy of the kernels (very large)
	everywhere.  But the op definitions are small, so this seems like a
	safe change to make.  Time to build the various tests was not
	any longer after this change, and inspecting the example_trainer
	binary showed no large increase.
Change 109363613
	TensorFlow: new graph_def_builder_test needs to RequireDefaultOps.
Change 109362569
	Split ":ops" out of ":kernels" target in tensorflow/core.
Change 109360666
	Catch dtype and some shape errors sooner in `QueueBase`.

	Some avoidable errors were not being caught (e.g. the dtypes of the
	enqueue components were not checked against the queue's dtypes in
	Python), leading to cryptic messages at runtime. After this CL, they
	will be caught earlier.
Change 109359569
	TensorFlow: Expect g_ != nullptr in test
Change 109350735
	Add a version number to GraphDef

	We would like to be able to deprecate behavior in newly generated graphs
	without invalidating tensorflow's ability to read and evaluate old graphs.
	For this purpose, GraphDef now has a version field which can be checked inside
	op kernels to determine how backwards compatible to be.  version.h defines
	TF_GRAPHDEF_VERSION_MIN and TF_GRAPHDEF_VERSION_MAX specifying the range of
	supported GraphDef versions in the current version of tensorflow.

	Also expose tf.__version__ and tf.__graph_def_version{,_min,_max}__ for Python
	interrogation purposes.

	Whenever we want to deprecate or change some GraphDef semantics, we will
	proceed as follows:

	1. Bump TF_GRAPHDEF_VERSION_MAX, leaving TF_GRAPHDEF_VERSION_MIN unchanged.
	   Describe the change in graph.proto, include the date introduced.

	2. In each relevant kernel, implement the new behavior if the GraphDef version
	   is new, but preserve the old behavior for previous GraphDef versions.

	3. Wait six months or so (we need to formalize this somewhere).

	4. Bump TF_GRAPHDEF_VERSION_MIN and remove the backwards compatibility.

	The GraphDef version is distinct from the open source version, but at least
	(4) and possibly (1) correspond to major version number bumps.

	The first GraphDef version bump is the upcoming scalar strictness change,
	which affects Google users only since open source is already scalar strict.

	This commit does not yet plumb the version number into OpKernelConstruction
	so that ops can access it.  That will follow.
Change 109350260
	Made TensorShapeProto implicitly convertible to TensorShape.

Base CL: 109366982

Change 109344341
	Teach ./configure about Python 3 (and other minor Python 3 issues)

	./configure now writes bazel.rc based on a bazel.rc.template, which gives us a
	place to tell bazel which version of Python we were using.

	Also fix a few tests whose Python 3 support had degraded.

	The only thing left before we have Python 3 support is

	  https://github.com/google/protobuf/pull/1023
Change 109343002
	Update ops.pbtxt to reflect 109321497.
Change 109342838
	Do memory deallocation outside the critical section in gpu_event_mgr.cc.
Change 109334210
	PTB LSTM example: use slicing instead of splitting the inputs.
Change 109332238
	Cleanup TensorBoard local development environment
Change 109331051
	Use __all__ in __init__.py to restrict exported modules

	Specifically, __all__ is now anything that (1) doesn't begin with an underscore
	and (2) isn't a non-whitelisted module.

	This fixes one tiny piece of b/25561952.  Specifically, the following no longer
	exist: tf.np, tf.math_ops, and tf.variables.  tf.ops and tf.tensor_util still
	exist but shouldn't; that will have to wait for a later CL.
Change 109327154
	tf.tuple allow Tensors to be passed in as control_inputs like tf.control_dependencies.
Change 109324239
	Make tf.control_dependencies(None) clear the control dependencies.
	Use that to prevent ops created for Variables to inherit the current
	control dependencies.

	This fixes issues when using ExponentialMovingAverages with control
	dependencies.
Change 109323719
	Added support for boolean tf.scatter_update.

Base CL: 109348398

Change 109321497
	Move all images to images directory to make docs versioning easier
	- adjust all paths in the docs to point to the new locations
	- remove some now redundant section-order tags added for the old website
Change 109317807
	Added a kernel op to compute the eigendecomposition of a self-adjoint matrix.

	Added a new kernel op called self_adjoint_eig (and a batch_self_adjoint_eig) that
	computes the eigendecomposition of a self-adjoint matrix. The return value is
	the concatenation of the eigenvalues as a row vector, and the eigenvectors.
Change 109310773
	Change `_read32()` in the MNIST input example to return an int.

	Currently we return a 1-D numpy array with 1 element. Numpy has
	recently deprecated the ability to treat this as a scalar, and as a
	result this tutorial fails. The fix returns the 0th element of the
	array instead.
Change 109301269
	Re-arrange TensorBoard demo files.
Change 109273589
	add ci_build for ci.tensorflow.org
Change 109260293
	Speed up NodeDef -> OpKernel process by not spending time generating
	an error message for missing "_kernel" attr that will be thrown away.
Change 109257179
	TensorFlow:make event_file_loader_test hermetic by using tempfile
	instead of fixed filenames.  Without this change, running
	event_file_loader_test twice in the same client (locally)
	causes it to fail, because it writes into the same file and appends
	another event, instead of starting from scratch.
Change 109256464
	Minor cleanup in TensorBoard server code
Change 109255382
	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 109254843
	Fix use of uninitialized memory in test.
Change 109250995
	python_config.sh needs a license header

	Otherwise the license test fails.
Change 109249914
	add ci_build for ci.tensorflow.org
Change 109249397
	Fixes reduce_sum (complex) on GPU segfaults.

	Fixes #357

Change 109245652
	add ci_build for ci.tensorflow.org

Base CL: 109321563

changes in last commit.

Change 109240606
	Fix typo
Change 109240358
	Fix bug in Concat's shape inference due to legacy scalar handling.

	The shape function was inadvertently converting outputs of unknown
	shape (rank=None) to vectors of unknown length (rank=1), due to
	inability to distinguish between legacy scalars and vectors, because
	`max(1, None)` is 1.
Change 109237152
	Remove numarray requirement in python_config.
Change 109234003
	Fix typo in elu documentation.
Change 109232946
	Python must now be configured via ./configure script
Change 109232134
	Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109231761
	Test invalid inputs to softmax_cross_entropy_with_logits.
Change 109230218
	Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109229915
	Correct comments in seq2seq to show the right input types for embedding models.
	(Thanks to hugman@github for bringing this up.)
Change 109229118
	Fix resize_images example in documentation and allow resize_images to run on a single image with partially-known shape.
Change 109228940
	Fix demo and node add/remove button spacing
Change 109227909
	Include Elu in the NN docs.
Change 109227059
	Adds variable_op_scope and makes variable_scope always add a name_scope.

	This creates an op scope for variables that makes it easy to create independent
	operations with a default name by making that name unique for the current scope
	and it allows explicit names that are not made unique.

Change 109224492
	Streamline yuv -> rgb conversion to be done in one pass in native code.

	The entire process now takes ~2ms (including the ByteBuffer.get() calls), down from 10+ ms when the arrays were being interleaved in Java prior to conversion.

	Also abstracting common yuv->rgb color conversion into helper method.
Change 109224389
	Add ability to move nodes in and out of auxiliary nodes in graph.
Change 109217177
	Update generated Op docs.
Change 109215030
	Implementation of the ELU activation function: http://arxiv.org/abs/1511.07289
Change 109209848
	When GPUBFCAllocator runs out of memory, also log a summary
	of chunks in use by size.
Change 109206569
	Switched to the public version of the Eigen::sign method since it supports complex numbers.
Change 109199813
	Modify tensorflow.SequenceExample to support multiple-length sequences.

Base CL: 109241553

Change 109195845
	Fix TensorFlow for build against Bazel 0.1.2rc2

	Two things are currently broken with TensorFlow and Bazel 0.1.2:
	  - Bazel now use sandboxing by default on Linux and have fixed it for cc_* rules.
	    Undeclared headers are not mounted in the sandbox which make several cc_* rules
	    fails.
	  - Bazel now enforce strict header checking and some target were missing
	    headers even though the headers were mounted in the sandbox. This change
	    adds a "strict_headers" target that globs every headers of the core
	    library and add it to the `tf_cc_tests` targets.
Change 109162708
	Fix various website issues
	- Fix headline in os_setup.md
	- Fix #anchor links
Change 109162129
	Fix numbers in mnist tutorial, fixes #362
Change 109158967
	Fix typo in word2vec tutorial, fixes #347
Change 109151855
	Fix tile and its gradient for scalars on GPUs

	Eigen doesn't handle scalars on GPUs in all cases.  Fortunately, both
	tile and its gradient are the identity for scalars, so we can just copy
	the input to the output.

	Fixes https://github.com/tensorflow/tensorflow/issues/391.
Change 109140763
	Support int32 and int64 in tf.random_uniform

	This requires a new RandomUniformInt op on the C++ side since the op needs
	to know minval and maxval.

	Fixes https://github.com/tensorflow/tensorflow/issues/364.
Change 109140738
	Fix spacing in docs.
Change 109140030
	Fix content nav to not hide the bottom 100 or so px.
Change 109139967
	Add license files to TensorBoard files, fix mnist_with_summaries test
Change 109138333
	Fix typos in docstring
Change 109138098
	Fix some missing resources in the website.

	Fixes #366.
Change 109123771
	Make sparse_to_dense's default_value default to 0

	Nearly all uses of sparse_to_dense use 0 as the default.  The
	same goes for sparse_tensor_to_dense.

Base CL: 109198336

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