Change-Id: I5678cbdfb45757e2218494f542c9b0a0d5cc16a4

Change-Id: I3cd6c6e3f3c7755343213e4697c97a09f79fb947

Change-Id: I68d35edbe3608b08f06476fdf5d5641c97e9f706

Change-Id: Ic08e4095b6697676ee24dab6b2ec2abd06b0e2cf

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-Id: Idf0135aeecf7b66d57633991d36b1edee22bbf4e

Change-Id: Icc43cfc9950c7acae145a37af8eb83282dada455

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

Change-Id: I8f4b4453d07d25964ca756d40e6925b549c5f220

	Very minor fix to clean up comment, erased blank line (line 209 basic_usage.md)
	Added a session close the Interactive Session in the 'Getting Started' tutorial
		-so that no exceptions are thrown when a user tests later examples in the same python kernel.
	Highlighted 't[i,j,k]' for read consistency in tutorial (line 21, resources/dim_types.md)

Change-Id: I9c0d8a6f6651bbb6a00bddecc0977b512e394669

Changes:

* Add port mapping options to `docker run` commands in
  docker_run_gpu.sh and README.md. Docker on Mac needs an extra option
  `-p` to expose 8888 for Jupyter Notebook. The added option makes the
  behavior of containers consistent on both Ubuntu and Mac.

Change-Id: I29002329f08d7dc05415925e9b2aedbd3f112813

	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