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* fix typo in resources/index.md, fixes #529Gravatar Martin Wicke2015-12-17
| | | | Change: 110422306
* Initial notebooks and Docker spec for the Udacity course assignments.Gravatar Vincent Vanhoucke2015-12-17
| | | | | Note: these are not final. Change: 110420744
* Change: 110417819Gravatar Dan Smilkov2015-12-17
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* Removed unused npm dependencies.Gravatar Dan Smilkov2015-12-17
| | | | Change: 110417789
* Change word2vec subsampling to behave as in Mikolov's version. This improves ↵Gravatar Andrew Dai2015-12-17
| | | | | | accuracy by effectively increasing window size after subsampling. Change: 110417524
* Change: 110415111Gravatar Vijay Vasudevan2015-12-16
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* Fix typo in doc string ('contrase' -> 'contrast')Gravatar David G. Andersen2015-12-16
| | | | Change: 110414708
* Change: 110413131Gravatar Vijay Vasudevan2015-12-16
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* s/name/scope/ so it does not collide with the "name" param, and remove ↵Gravatar A. Unique TensorFlower2015-12-16
| | | | | | unused import. Change: 110411627
* Switched to the open source version of EigenGravatar A. Unique TensorFlower2015-12-16
| | | | Change: 110406666
* Change REGISTER_OP macro to do the Finalize and actual registration in theGravatar Manjunath Kudlur2015-12-16
| | | | | | | receiver object's converting constructor. This makes it such that the r.h.s can be an arbitrary C++ expression and is evaluated completely before getting passed to the constructor. Change: 110404504
* Make `MakeShape` and `VectorToShape` robust to negative indices.Gravatar Derek Murray2015-12-16
| | | | | | This avoids a CHECK failure if invalid input data is passed to some ops. It also tightens up the Python class to reject negative dimensions. Change: 110401558
* ci_build: update dockerfilesGravatar Jan Prach2015-12-16
| | | | | | | * copy to get .bazelrc and add --verbose_failures * copy install scripts one by one (it is no longer needed to re-run all the scripts when only the last one changes) Change: 110398445
* add build status for all the major buildsGravatar Jan Prach2015-12-16
| | | | | | * users can see that there may be some temporary issues with their platform Change: 110398280
* Matching []s in reduction ops docs.Gravatar A. Unique TensorFlower2015-12-16
| | | | Change: 110397907
* ci_build: recreate user, group and home directory inside containerGravatar Jan Prach2015-12-16
| | | | | | * it will leave the jenkins workspace (outside docker) with useful file permissions and working symbolic links Change: 110397897
* Fix an use after free bug.Gravatar Manjunath Kudlur2015-12-16
| | | | | | - Calling REGISTER_OP after initialization (initialized_ == true) would cause OpDefBuilder to be deleted before fields can be added to it. Change: 110394914
* Update generated Op docs.Gravatar A. Unique TensorFlower2015-12-16
| | | | Change: 110379526
* Fix the gradient of `tf.gather()` when the indices are > 1-D.Gravatar Derek Murray2015-12-16
| | | | | | | | | | | | | The gradient function was previously generating an invalid IndexedSlices, whereby `IndexedSlices.indices` tensor was not a vector. This change reshapes the indices and gradient so that they can correctly be interpreted as an IndexedSlices and applied to the embedding variable. Added a multi-dimensional gradient test in embedding_ops_test.py. Fixes #505. Partially addresses #464. Change: 110364370
* A few small changes:Gravatar A. Unique TensorFlower2015-12-15
| | | | | | | 1. Fixed default tensor dtypes in the gradients of control flow ops. 2. Better colocation decisions for control flow ops. 3. Don't use ref for loop variables. This would give more flexibility to placement. Change: 110308978
* Fixed a bug in cond when a branch passes a value through mulitple times, ↵Gravatar A. Unique TensorFlower2015-12-15
| | | | | | i.e., does something like "lambda: [x, x]". Change: 110306609
* Implement `tensor_util.ConstantValue()` support for `tf.concat()`.Gravatar Derek Murray2015-12-15
| | | | | | This should make more shape inference possible, when concat is used to build, e.g., shape vectors. Change: 110303876
* Be more careful about double-cancellation of requests.Gravatar A. Unique TensorFlower2015-12-15
| | | | | Follow-up to 110287597. Change: 110290160
* All standalone code for TensorBoard components should be written in ↵Gravatar Dan Smilkov2015-12-15
| | | | | | typescript, and the compiled javascript code should be ignored. Change: 110288218
* Corrected Tensorboard's http_api.md documentation /runs endpoint to include ↵Gravatar A. Unique TensorFlower2015-12-15
| | | | | | compressedHistograms. Change: 110287931
* Fix use-after-free in Queue cancellation.Gravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110287597
* Change: 110286830Gravatar A. Unique TensorFlower2015-12-15
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* Add support to scatter_update to allow string and bool tensors.Gravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110286577
* Tiny documentation fix.Gravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110283867
* Update generated Op docs.Gravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110278005
* Add visibility rules to two BUILD files.Gravatar Vijay Vasudevan2015-12-15
| | | | Change: 110277312
* Switching to Paper component tabsGravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110273215
* Change: 110272630Gravatar A. Unique TensorFlower2015-12-15
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* Add a human-readable Tensor.__repr__(), and improve TensorShape.__str__().Gravatar Derek Murray2015-12-15
| | | | | | | | | | | | | | | The repr replaces the default Python representation for an object with information about the Tensor's name, shape and dtype. TensorShape's new str() is a more compact representation that makes it easier to tell, at a glance, what the shape represents. For example: print repr(tf.placeholder(tf.qint32, shape=(32, None, 2), name="c")) # ==> <tf.Tensor 'c:0' shape=(32, ?, 2) dtype=qint32> Fixes #460. Change: 110268564
* Added instructions for people that don't use homebrew on installing Swig on ↵Gravatar A. Unique TensorFlower2015-12-15
| | | | | | OS X. Change: 110256863
* Unspecified message.Gravatar A. Unique TensorFlower2015-12-15
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* add solution for TF install problem on El CapitanGravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110220692
* Reduce flakiness of input_test.Gravatar A. Unique TensorFlower2015-12-15
| | | | Change: 110208316
* Removing radial gradient in header.Gravatar A. Unique TensorFlower2015-12-14
| | | | Change: 110202067
* add ci build status buttonGravatar A. Unique TensorFlower2015-12-14
| | | | Change: 110201665
* ci_build: fix android build - add required 32bit librariesGravatar A. Unique TensorFlower2015-12-14
| | | | Change: 110191670
* Added 'name' property to QueueRunner.Gravatar A. Unique TensorFlower2015-12-14
| | | | | | This allows one to retrieve QueueRunners corresponding to queues in a specific scope using tf.get_collection(tf.GraphKeys.QUEUE_RUNNERS, scope). Change: 110169009
* Place Identity OP on the same device as the Variable.Gravatar A. Unique TensorFlower2015-12-14
| | | | Change: 110167188
* Fix `gulp vulcanize`. To do this we remove bower_components folder and all ↵Gravatar A. Unique TensorFlower2015-12-14
| | | | | | components are now under `components` directory. This follows polymer conventions. Change: 110158503
* Fix docstring for pad, fixes #490Gravatar Martin Wicke2015-12-14
| | | | Change: 110155285
* TensorFlow: merge changes from internalGravatar Vijay Vasudevan2015-12-11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* TensorFlow: merge changes from internalGravatar Vijay Vasudevan2015-12-11
| | | | | | | Change 110044026 Wrap comment in build_pip_package.sh Base CL: 110044081
* TensorFlow: merge changes from internalGravatar Vijay Vasudevan2015-12-11
| | | | | | | Change 110024345 Removed the unary operator restriction on MaxPool so we can reuse it more flexibly in the future Base CL: 110043747
* TensorFlow: merge changes from internalGravatar Vijay Vasudevan2015-12-11
| | | | Base CL: 110018194
* TensorFlow: merge changes from internalGravatar Vijay Vasudevan2015-12-11
| | | | | | | | | | | | 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
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