Change: 110191670

This allows one to retrieve QueueRunners corresponding to queues in a specific
scope using tf.get_collection(tf.GraphKeys.QUEUE_RUNNERS, scope).
Change: 110169009

Change: 110167188

Fix `gulp vulcanize`. To do this we remove bower_components folder and all components are now under `components` directory. This follows polymer conventions.
Change: 110158503

Change: 110155285

Change 110055925
	Clean up interface for adjust_contrast and adjust_brightness.
	- Simplify kernel for adjust_contrast and remove all min/max and casts.
	- Change semantics of delta arg to adjust_brightness (always in [0,1)), and adjust users.
	- Add saturate_cast for casting images without over/underflow problems.
	- Add new numbers for adjust_contrast benchmark.

	This CL makes two changes to the public API:
	- It changes the semantics of the delta parameter of adjust_brightness, which was in the same range as the input image before, and now is always in [0,1).
	- It changes the semantics of adjust_contrast (the cc op), which wasn't hidden, but was shadowed by the python wrapper in image_ops. It's a little questionable whether this function was part of the public API. It definitely shouldn't have been. It is now hidden, although now it could be part of the public API, albeit with a different name.
Change 110054427
	update ci_build

	* add PYTHON_BIN_PATH and always run ./configure in ci_build
	* rename ci_build cache directory to bazel-ci_build-cache
	* sync ci_build/Dockerfile.cpu with docker/Dockerfile.devel
	* use "FROM nvidia/cuda:..." for gpu container
	* therefore no need of the tensorflow_extra_deps directory anymore
	* share install code between containers using  ./install/*.sh scripts
	* do not inherit (and override FROM clausule in dockerfiles anymore)
	* print bazel test errors to stderr
Change 110047126
	Update ops.pbtxt.
Change 110046428
	Simplify the example for the Fill op.

Base CL: 110056265

Change 110044026
	Wrap comment in build_pip_package.sh

Base CL: 110044081

Change 110024345
	Removed the unary operator restriction on MaxPool so we can reuse it more flexibly in the future

Base CL: 110043747

Base CL: 110018194

Change 110010103
	Implementing SparseSplitOp.
	The op takes a sparse tensor (list, values and shape), split_dim and num_splits and produces a list of num_splits tensors where the shape of each tensor is the shape of the original tensor except split_dim = shape[split_dim +num_split - 1 / num_split]. in case if shape[split_dim] is not an integer multiple of num_split an extra one dimension get added to the slices starting from 0.
	For example if the input shape is a [2, 10] split_dim = 1, num_split = 3
	output shapes will be [[2, 4], [2, 4], [2, 2]].

	The Op register shape to [Unknown, dim] for indices tensors and [Unknown] for the values tensor because shape can't be inferred without evaluate input tensors.

Base CL: 110012853

Change 110004767
	Add Cast to list of supported ConstantValue ops, mainly useful for shape inference
Change 110002200
	Bug fix for b/24814668. The fix uses mdevin's CL/109324239, which adds support to clear control dependency and control flow contexts.

	Bug fix for b/25914830. We now clear the control related contexts for initial values of variables in adagrad.
Change 110000213
	Further (minor) improvements to print usage in docs and tutorials
Change 109975099
	Update `tensor_util.ConstantValue()` to return scalars when appropriate.

	The `ConstantValue()` implementations for `tf.size()` and `tf.rank()`
	were returning single-element numpy vectors, whereas the op
	implementations produce scalar outputs.
Change 109950165
	TensorBoard tag to 5

Base CL: 110006867

Change 109945903
	Make unsorted_segment_sum detect negative indices

	Previously it crashed.  This fixes #466.

	Also improve the error message to say which index is problematic.
Change 109942557
	Fix the conv_grad_input with stride 2.
	+ We always call the Cudnn implementation even if we have an incompatible
	padding.

Base CL: 109948577

Changes:
    Fix wrong path in build_pip_package.sh; fixes #471

Change 109922312
	Update dockerfiles and instructions.

	This CL does two things:
	* updates dockerfiles to use 0.6.0
	* updates the instructions for the new tag format.
Change 109920508
	Fix broken cast_op_test
Change 109919316
	Enforce converting to int64 for SparseTensor indices and shape
Change 109916130
	Fix imagenet for Python 3

	It needed some binary file modes and an iteritems -> items.
Change 109912827
	Enable fast c++ implementation in protobuf's python interface.

Base CL: 109922840

Change 109910602
	TensorFlow: rename packages to their final whl names for linux.

Base CL: 109910643

Change 109849574
	Avoid some missing return warnings
Change 109837783
	Add invalid aggregation to error message.
Change 109835474
	Improves docstring of RegisterGradient decorator.

	Fixes a typo (input -> output) and uses lowercase name for neg in the provided example.
Change 109834486
	Update generated Op docs.
Change 109830497
	Fix per_image_whitening to handle edge case by preventing the sqrt() of a negative number which is possible due to numerical floating point issues. Unit test added.
	Fixes #411
Change 109824286
	Change TensorBoard/TAG to 4
Change 109824197
	Update tutorials and documentation usage of print to use print as function not statement.
	This way you can copy+paste code in a python3 context and it will still work.
Change 109824020
	Fix another case where TensorBoard discards values after a restart.

	We also need to not discard on graph_def, since user code or SummaryWriter may add graph_defs at step 0 after every restart.
Change 109821924
	Defines Templates for variable sharing.

	A Template is a function that generates a sub-graph with the same variables each time it is called.

	Two different templates defined with the same underlying function also return different variables.
Change 109815801
	Don't instatiate the eigen expressions for additions and subtractions of
	boolean since they won't be called. This reduces the size of the binary a bit.
Change 109795730
	Allow casts to and from int8
Change 109791914
	Python 3 fix: filter has no len

	gradients.py calls len on the output of filter.  A call to tuple is needed in
	between.

	Not sure why this wasn't caught when we ran the Python 3 tests.  If I break it
	for Python 2 several tests break.
Change 109757009
	Fix minor grammatical errors in about.html

	The missing article needs no justification, I think.
	has -> have, because subjects are 'usability and functionality', not 'TensorFlow'.
	and also -> and, because 'also' is superfluous in this use.
Change 109756627
	TensorFlow: some doc updates to models/ files
Change 109743899
	TensorFlow: remove one more clang warning (class / struct inconsistency).
Change 109741933
	Document default for max_images in tf.image_summary

	It used to say max_images=None which hid the C++ defalut of 3.
	Now it says max_images=3.

	Fixes https://github.com/tensorflow/tensorflow/issues/441.

	It's unfortunate that an edit-distance-5 change produces such a large CL.
Change 109741569
	Update generated Op docs.
Change 109739599
	Renaming the Python variables in the layer weights of the fully connected
	MNIST model so that the variable and the TensorFlow names are different. This
	allows the documentation to be more explicit about the distinction between the
	weights and biases of different layers. Also, the documentation gets to
	describe the whether the TF name or the Python name is being used.

Base CL: 109851372

Change 109738410
	Don't crash if an attribute contains an invalid shape

	Using GetAttr to retrieve a TensorShape caused a process crash if the shape
	contained negative entries or was too large.  Instead, produce useful error
	messages (and Python exceptions).

	Fixes https://github.com/tensorflow/tensorflow/issues/449.
Change 109737915
	TensorFlow: fix build failures and some warnings when built with clang
	on OS X.
Change 109737559
	Fix bad paragraphing
Change 109735757
	Fix OSX installation instructions.
Change 109733797
	Adds buttons to toggle the display of all runs.

Base CL: 109739474

with nvcc in debug mode.

Change 109730179
	Add support for selecting partition strategy in tf.nn.embedding_lookup and related ops, and allow unequally-sized shards to be used as input.
Change 109729548
	TensorFlow: add RELEASE.md notes for 0.6.0.
Change 109728185
	Make seq2seq_test non-flaky by setting python and numpy random seed.
Change 109725913
	Refactor slot creation in optimizers and moving averages to separate file
Change 109718024
	TensorFlow: reduce runtime of seq2seq_test from ~30s to ~18s.
Change 109712251
	More performance improvement for convnet on GPU.
	+ Switch forward convolution format to NCHW.
	+ Allocate scratch space for forward- and backward- convolutions.
	+ Users can use "TF_CUDNN_WORKSPACE_LIMIT_IN_MB" to configure the scratch space
	limit. The default limit in 1GB.
Change 109710898
	Added extract_sub_graph utility function

Base CL: 109731609

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

Change 109628097
	Fix gcc 4.8.1 compile

	Modified from patch by @assolini here:

	https://github.com/tensorflow/tensorflow/issues/405
Change 109624275
	Make preview frame ImageReader global so that it does not get GC'd.

	This may fix an issue with connecting to the camera on some devices where the underlying Surface is prematurely cleaned up (http://stackoverflow.com/questions/33437961/android-camera-2-api-bufferqueue-has-been-abandoned).
Change 109620599
	- improved test a little to make it easier to understand as it serves as an
	example for users
Change 109614953
	TensorFlow: update tutorials/howtos to point to correct
	location of files, show python example in addition to bazel.
Change 109612732
	TensorFlow: move reading_data into examples, change data dir
	to /tmp/data.  Validated that they all run, but these
	probably need a selftest at some point.
Change 109608695
	Apply 'gate_gradients' only when there is more than one real gradients.
Change 109605014
	There are 3 obvious places to start using TensorFlow. 2/3 of the starting points do not have a link to the installation instructions.
Change 109604287
	Make the `tf.reshape` shape function more restrictive.

	Previously, it did not raise a construction-time error if the input
	shape and the new shape were incompatible; now it detects this and
	raises a `ValueError`.
Change 109603375
	TensorFlow: Move word2vec_basic.py from g3doc/ to examples/

	There are no additional libraries this uses, so nothing else
	needs to be done
Change 109601289
	TensorBoard tag 3
Change 109600908
	Decrease number of scalar values stored by TensorBoard.
	10k is more than displays nicely.
Change 109599464
	Fix "smart restart" functionality in TensorBoard (it throws away dead data)
	After restarts, a file_version event is created that always has step 0.
	We need to ignore this.
Change 109597667
	Switch to using /dev/urandom for TensorFlow randomness.

	Using /dev/random leads to slowdown when running in an environment
	with poor access to an entropy source (such as some VMs). /dev/urandom
	has more predictable performance, and we don't require
	cryptographically secure random number generation, so a PRNG is good
	enough.

	Also removes the use of the RNG in DirectSession construction. This
	was being used to generate a session handle, which is not necessary
	(since a DirectSession owns its devices, we don't need a unique handle
	to key the OpSegment objects registered with the various devices).

	This addresses bugs that have been reported on the mailing list and
	Stack Overflow.
Change 109596906
	Add an is_unsigned property to dtype
Change 109596830
	Remove unnecessary fill in clip_by_value
Change 109591880
	Remove Android demo's libpthread.so dummy file (required by protobuf) from repo and generate it at compile-time.

	This makes the Android demo more portable, as the generated file will now always be the correct archictecture for linking.
Change 109589028
	Isolating out the RTTI part of TensorFlow and add non-RTTI backups for Android.
	This saves about 400KB of the compiled library, when compiling the Android
	tensorflow target with -fno-rtti.
Change 109589018
	Internal reworking of LSTMCell.
Change 109588229
	Allow bool-valued tensors to be persisted.
Change 109577175
	TensorBoard host defaults to 0.0.0.0
Change 109551438
	TensorFlow: move mnist g3doc tutorials into tensorflow/examples.

	Update examples to point to the correct location.

	Adds tests to make sure they don't regress, do some lint cleanup.

Base CL: 109630240

	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