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* TensorFlow: upstream changes to gitGravatar Vijay Vasudevan2015-12-03
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Upstream changes to git.Gravatar Vijay Vasudevan2015-12-03
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: upstream changes to git.Gravatar Vijay Vasudevan2015-12-03
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: upstream changes from eigen to fix build fromGravatar Vijay Vasudevan2015-12-02
| | | | changes in last commit.
* TensorFlow: Upstream changes to git.Gravatar Vijay Vasudevan2015-12-02
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: upstream changes to gitGravatar Manjunath Kudlur2015-12-02
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: update google/protobuf version toGravatar Vijay Vasudevan2015-12-01
| | | | 956a770adc772184e5911f964b866028465d1727 for bazel 0.1.2
* TensorFlow: upstream changes to gitGravatar Vijay Vasudevan2015-12-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-25
| | | | | | | Changes: - Fix README example to not include implicit print Base CL: 108729071
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-25
| | | | | | | Changes: - Make compat accessible as tf.compat Base CL: 108727647
* TensorFlow: Upstream changes to gitGravatar Manjunath Kudlur2015-11-25
| | | | | | | | | Changes: - Updates to docs - Several changes for Python 3 compatibility - Added license headers Base CL: 108710566
* TensorFlow: Improve performance of AlexnetGravatar Manjunath Kudlur2015-11-20
| | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Removal of large assets and small other fixes.Gravatar Vijay Vasudevan2015-11-18
| | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: more features, performance improvements, and doc fixes.Gravatar Vijay Vasudevan2015-11-18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: remove googlenet modelfile from repo.Gravatar Vijay Vasudevan2015-11-17
| | | | | | | | | | | | | 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
* TensorFlow: conv improvements, label_image example, andGravatar Vijay Vasudevan2015-11-16
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Doc and linter fixes, some additional tests andGravatar Vijay Vasudevan2015-11-16
| | | | | | | | | | | | | | 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
* TensorFlow: Upstream changes from since last Thursday.Gravatar Vijay Vasudevan2015-11-16
| | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: a few small updates.Gravatar Vijay Vasudevan2015-11-12
| | | | | | | | | | | | | | | 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
* TensorFlow: Upstream changes from afternoon.Gravatar Vijay Vasudevan2015-11-12
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Minor updates to docs, BUILD, GPU config / perf, etc.Gravatar Vijay Vasudevan2015-11-12
| | | | | | | | | | | | | | | | | | 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
* TensorFlow: upstream changes from the afternoon.Gravatar Vijay Vasudevan2015-11-11
| | | | | | | | | | | | | | | | | | | | | | | | | | 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
* Upstream a number of changes to git.Gravatar Vijay Vasudevan2015-11-11
| | | | | | | | | | | | | | 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
* Add colah@'s fixed version of scalar equation to docs.Gravatar Vijay Vasudevan2015-11-10
| | | | Base CL: 107547091
* Update description of various issue/discussion forums (by vanhoucke)Gravatar Vijay Vasudevan2015-11-10
| | | | Base CL: 107543097
* TensorFlow: upstream changes to git (doc fixes).Gravatar Vijay Vasudevan2015-11-10
| | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Upstream a batch of changes to git.Gravatar Vijay Vasudevan2015-11-09
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: Initial steps towards python3 support, some documentationGravatar Vijay Vasudevan2015-11-09
| | | | | | | | | | 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
* TensorFlow: Update documentation to address quirks, add whitepaper link,Gravatar Vijay Vasudevan2015-11-09
| | | | | | | and add tentative Dockerfile for GPU. Change install instructions to also suggest upgrading six for Mac. Base CL: 107379398
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | Changes: - Lot of updates to docs. Base CL: 107357203
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | Changes: - Doc type fixes. Base CL: 107356208
* TensorFlow: Upstreaming changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | Changes: - Update to OS X install instructions. Base CL: 107355822
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | | Changes: - Correct number of CPUs reported on mac. - Doc updates. Base CL: 107355041
* TensorFlow: Upstreaming changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | Changes: Fix anchor for github. Base CL: 107352236
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | Changes: - Updates to installation instructions. Base CL: 107352130
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | | Changes: - Documentation updates. - Relax numpy requirement to 1.9.2 Base CL: 107349632
* TensorFlow: Upstream changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | | Changes: - Docuementation changes. - Update URL for protobuf submodule. Base CL: 107345722
* TensorFlow: Upstream latest changes to git.Gravatar Manjunath Kudlur2015-11-08
| | | | | | | | Changes: - Documentation updates. - Specify numpy version in required packages. Base CL: 107344010
* TensorFlow: Upstream latest changes to git.Gravatar Vijay Vasudevan2015-11-08
| | | | | | | | | | | | 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
* TensorFlow: Upstream changes to git.Gravatar Vijay Vasudevan2015-11-07
| | | | | | | | Changes: - Update whitepaper - Fix some names in docs. Base CL: 107313143
* TensorFlow: Upstream commits to git.Gravatar Vijay Vasudevan2015-11-07
| | | | | | | | | Changes: - More documentation edits, fixes to anchors, fixes to mathjax, new images, etc. - Add rnn models to pip install package. Base CL: 107312343
* TensorFlow: Upstream latest commits to git.Gravatar Vijay Vasudevan2015-11-07
| | | | | | | | | | Changes: - Updates to Documentation, README.md, installation instructions, anchor links, etc. - Adds Readme for embedding directory. Base CL: 107308461
* TensorFlow: Upstream changes to git.Gravatar Vijay Vasudevan2015-11-06
| | | | | | | | | | | | 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
* TensorFlow: Upstream latest changes to Git.Gravatar Manjunath Kudlur2015-11-06
| | | | | | | | | Changes: - Updates to installation instructions. - Updates to documentation. - Minor modifications and tests for word2vec. Base CL: 107284192
* TensorFlow: Initial commit of TensorFlow library.Gravatar Manjunath Kudlur2015-11-06
TensorFlow is an open source software library for numerical computation using data flow graphs. Base CL: 107276108
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