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* Updating the V2 variables API.Gravatar Alexandre Passos2018-09-27
| | | | PiperOrigin-RevId: 214824023
* Return model format from LoadSessionBundleOrSavedModelBundle(),Gravatar Abhijit Karmarkar2018-09-20
| | | | | | | allowing callers to know if we up-converted a SessionBundle to SavedModel format. PiperOrigin-RevId: 213937542
* Replaced calls to tensorflow::StringPiece::ToString with string conversions.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | That is, instances of sp.ToString() are replaced with string(sp). This will allow tensorflow::StringPiece::ToString to be removed, which is necessary before it can be replaced with absl::string_view. PiperOrigin-RevId: 209806694
* Move from deprecated self.test_session() to self.session() when a graph is set.Gravatar A. Unique TensorFlower2018-08-21
| | | | | | self.test_session() has been deprecated in cl/208545396 as its behavior confuses readers of the test. Moving to self.session() instead. PiperOrigin-RevId: 209696110
* Windows: Enable tensorflow/contrib in Bazel build (Second try)Gravatar A. Unique TensorFlower2018-04-02
| | | | | | This reverts commit 4e108ef30d7cd7ae5e1c550ec5ae27e79b8c6e39. PiperOrigin-RevId: 191391075
* Remove all_opensource_files. It's not needed any more.Gravatar Martin Wicke2018-03-28
| | | | PiperOrigin-RevId: 190878279
* Replaced calls to deprecated tensorflow::StringPiece methods with theirGravatar A. Unique TensorFlower2018-03-27
| | | | | | | | tensorflow::str_util equivalents. This will allow the deprecated methods to be removed. PiperOrigin-RevId: 190650553
* Internal changeGravatar A. Unique TensorFlower2018-03-19
| | | | PiperOrigin-RevId: 189613870
* Automated g4 rollback of changelist 189231636Gravatar A. Unique TensorFlower2018-03-15
| | | | PiperOrigin-RevId: 189258641
* Merge changes from github.Gravatar Jacques Pienaar2018-03-15
| | | | PiperOrigin-RevId: 189231636
* Internal changeGravatar A. Unique TensorFlower2018-03-13
| | | | PiperOrigin-RevId: 188880419
* PiperOrigin-RevId: 188860028Gravatar A. Unique TensorFlower2018-03-13
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* tfdbg: add reference to the TensorBoard Debugger Plugin in README.mdGravatar Shanqing Cai2018-03-13
| | | | PiperOrigin-RevId: 188828898
* PiperOrigin-RevId: 188860028Gravatar A. Unique TensorFlower2018-03-13
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* tfdbg: add reference to the TensorBoard Debugger Plugin in README.mdGravatar Shanqing Cai2018-03-13
| | | | PiperOrigin-RevId: 188828898
* PiperOrigin-RevId: 188860028Gravatar A. Unique TensorFlower2018-03-13
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* Merge changes from github.Gravatar Michael Case2018-02-07
| | | | PiperOrigin-RevId: 184897758
* Add pylint check for W0611 unused-import in ci_sanity.sh and fix existing ↵Gravatar Yifei Feng2018-02-06
| | | | | | pylint errors. PiperOrigin-RevId: 184790548
* Cleanup: Ran clang-format on all *.{cc,h} files in ↵Gravatar A. Unique TensorFlower2018-01-30
| | | | | | tensorflow/contrib/.../*.{hh,c}. PiperOrigin-RevId: 183855242
* Add C0301 line-too-long error to pylint sanity check.Gravatar Yifei Feng2018-01-26
| | | | PiperOrigin-RevId: 183467186
* Remove THIRD_PARTY_ from #include guardsGravatar Sanjoy Das2018-01-24
| | | | | | They don't make sense in the open source repository. PiperOrigin-RevId: 183140889
* Expand error-message when a valid export is not found at the specified ↵Gravatar Sukriti Ramesh2018-01-04
| | | | | | export location in bundle-shim. PiperOrigin-RevId: 180814251
* BUILD cleanup in contrib/...Gravatar A. Unique TensorFlower2017-10-30
| | | | PiperOrigin-RevId: 173889798
* Remove RTLD_GLOBAL when loading pywrap_tensorflowGravatar Allen Lavoie2017-09-21
| | | | | | | | | | | | | | Splits out a shared object (//tensorflow/libtensorflow_framework.so) with core TensorFlow functionality but neither ops nor kernels. This object does include registries for ops, kernels, filesystems, etc. The expectation is that shared objects containing custom ops will have a runtime dependency on this framework shared object: TensorFlow will load the custom op shared object, and the custom op shared object will use the symbols from the framework shared object to register its ops/kernels/etc. rather than (as before this change) relying on those symbols being in the global symbol table. In this mode, TensorFlow artifacts (_pywrap_tensorflow.so for Python, libtensorflow.so for the C API; currently excluding Android artifacts) will depend on the framework shared object, which will be packaged with the Python pip package and other language distributions. This means that custom ops targeting the framework shared object will work in any language (C++, Java, Go; previously custom ops in these languages required custom Bazel builds). Adds a config option which reproduces the old behavior (--config=monolithic), which for Python means building a monolithic pywrap_tensorflow shared object and loading its symbols into the global symbol table (with RTLD_GLOBAL). As before, there will be no extra-Bazel custom op support for other languages when compiling in this mode. Does not change behavior on Windows; the cmake build is still monolithic. Requires using tf_cc_binary, tf_cc_test, and (rarely) tf_cc_shared_object rules to link in the framework shared object when adding new TensorFlow build rules. PiperOrigin-RevId: 169572746
* Automated g4 rollback of changelist 158565259Gravatar Gunhan Gulsoy2017-09-14
| | | | PiperOrigin-RevId: 168650887
* Increase session_bundle_test to a medium test.Gravatar A. Unique TensorFlower2017-09-05
| | | | PiperOrigin-RevId: 167672587
* BUILD cleanupGravatar A. Unique TensorFlower2017-08-25
| | | | PiperOrigin-RevId: 166461274
* Merge changes from github.Gravatar Andrew Harp2017-08-21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 575bd01d4 authored by Vijay Vasudevan<vrv@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove /replica:0 declaration in device functions and allow them to be freely bound based on cluster names present. When more than one value matches, it will choose the first lexicographically available device that matches the specification, which in practice will do pretty much the same thing as hardcoding /replica:0. PiperOrigin-RevId: 165766815 --- Commit d685bbc54 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Benchmarks with backprop enabled (and removes overhead). Before: np.array([[3]]) took 1.50us (30000 iterations) Tensor([[3]]) took 16.30us (30000 iterations) MatMul [2, 2]: np.dot took 0.61us (30000 iterations) MatMul [2, 2]: tf.matmul took 60.53us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 25.72us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.82us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 45.70us (30000 iterations) MatMul [100, 784]: np.dot took 383.32us (1000 iterations) MatMul [100, 784]: tf.matmul took 350.35us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 315.97us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 249.42us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 280.95us (1000 iterations) If backprop is enabled: np.array([[3]]) took 0.83us (30000 iterations) Tensor([[3]]) took 15.21us (30000 iterations) MatMul [2, 2]: np.dot took 0.63us (30000 iterations) MatMul [2, 2]: tf.matmul took 76.31us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 38.66us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.31us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 51.96us (30000 iterations) MatMul [100, 784]: np.dot took 378.34us (1000 iterations) MatMul [100, 784]: tf.matmul took 352.09us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 364.28us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 350.68us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 377.19us (1000 iterations) After: np.array([[3]]) took 0.86us (30000 iterations) Tensor([[3]]) took 15.19us (30000 iterations) MatMul [2, 2]: np.dot took 0.60us (30000 iterations) MatMul [2, 2]: tf.matmul took 64.51us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 28.34us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.38us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 48.50us (30000 iterations) MatMul [100, 784]: np.dot took 475.27us (1000 iterations) MatMul [100, 784]: tf.matmul took 399.50us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 307.80us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 272.83us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 350.06us (1000 iterations) PiperOrigin-RevId: 165765641 --- Commit d902babbd authored by David Majnemer<majnemer@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Algebraic simplifier incorrectly transformed convolutions into bitcasts PiperOrigin-RevId: 165765575 --- Commit 8e78e10ef authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: disable test temporarily PiperOrigin-RevId: 165763204 --- Commit a271c37db authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Small improvements to the arithmetic optimizer PiperOrigin-RevId: 165760972 --- Commit b6409594d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Convert some tests to cover both eager and graph. PiperOrigin-RevId: 165760364 --- Commit 5ead76420 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Reduce XLA compile time by ~7% for a convolutional image model: * Added CompactPointerSet<T>, which is optimized for set size <= 1. * Changed expensive CHECKs to DCHECKS in buffer_assignment.cc * Reserve space in DFS state array before starting DFS. * Use unsigned arithmetic in DFS state maintenance. * HloInstruction: - Moved frequently used fields to start for better cache locality. - Use InlinedVector instead of vector for operand array. - Use InlinedVector instead of vector for DFS stack. * Pre-compute "is array" and "is tuple" for LogicalBuffer. * PointsToSet: - Combine two ShapeTrees into one. - Use CompactPointerSet instead of std::set to hold sources. - Use CompactPointerSet instead of std::set to hold flattened buffers. * ShapeTree: use unique_ptr instead of optional for shape storage (reduces size and destruction overhead). * Add proper const qualifiers to some FlatSet iterator methods. Co-author=jeff PiperOrigin-RevId: 165759117 --- Commit a0544b0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make TPU symbols more easily accessible from contrib. PiperOrigin-RevId: 165753322 --- Commit cdc08afbb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Slightly relax numeric tolerance for sinlge precision tests of matrix_solve_ls (and tighten it for double precision). PiperOrigin-RevId: 165750936 --- Commit eebcc861a authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed the race condition between multi eval step increments. PiperOrigin-RevId: 165750595 --- Commit bbc0b8471 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 165748384 --- Commit 65f87c967 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change device string in RecvNodeDescriptor in VirtualScheduler from const reference to const as the RecvNodeDescriptor (and cached_recv_nodes map) outlives device string from the NodeDef. PiperOrigin-RevId: 165748244 --- Commit 57b0276cf authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 165747467 --- Commit 64e54423b authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] Fix nested dictionary handling in dataset elements. Backports recent changes to the core version of the nest.py library. Fixes #12372. PiperOrigin-RevId: 165746517 --- Commit 378463ae8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make tf.eye accept Python integer shapes and avoid generating unnecessary shape handling ops. Clean up test and add tests with placeholders. PiperOrigin-RevId: 165746090 --- Commit 109ecf823 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add support for complex in matrix_solve_ls_op. Split into separate files for each data type to speed up build. PiperOrigin-RevId: 165744539 --- Commit 51441302d authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change. PiperOrigin-RevId: 165737455 --- Commit d0cb32c2a authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Docstring for ResourceVariable. PiperOrigin-RevId: 165735441 --- Commit 32f4c5b6e authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add IsFinite op in tf2xla. PiperOrigin-RevId: 165734702 --- Commit 5f5c3eb0a authored by Mark Daoust<markdaoust@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move "supervisor.md" from programmer's guide to api_guides. PiperOrigin-RevId: 165732026 --- Commit d001b58de authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] Fix handling of multi-output tf.py_func() in Dataset.map(). If the `map_func` returns a list of tensors, the current code will attempt to stack it into a single tensor and raise an unintuitive error. Some multi-output ops (such as `tf.py_func()`) return lists of typically-not-stackable tensors. This change treats lists returned from `map_func` as tuples; users who were relying on this auto-stacking behavior should manually call `tf.stack()` (or `tf.convert_to_tensor()`) on the list being returned. Fixes #12396. PiperOrigin-RevId: 165731970 --- Commit e6c60fb36 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix flakyness, sometimes the op takes ms to run. PiperOrigin-RevId: 165728705 --- Commit 360bff8ae authored by Ali Yahya<alive@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Makes tape.watch() work with ResourceVariables. To this end, also adds a property, `device`, to TensorNode. PiperOrigin-RevId: 165726368 --- Commit 80bd004cd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Implements SVDF model for keyword spotting tutorial. PiperOrigin-RevId: 165725938 --- Commit aaabf6b90 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix bug: Using a ComputationDataHandle from the wrong ComputationBuilder. PiperOrigin-RevId: 165724017 --- Commit 107d165d9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use 2-arg TraceMe constructor to prevent unnecessary StrCat computation when tracing is disabled. PiperOrigin-RevId: 165722280 --- Commit 7d01f89cc authored by Pete Warden<petewarden@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Android demo app for speech recognition PiperOrigin-RevId: 165714459 --- Commit a6729325a authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Deletes convert_n_to_eager_tensor. Moves convert_to_eager_tensor to constant_op. PiperOrigin-RevId: 165704074 --- Commit 573b303ac authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BUILD cleanup in tensorflow/core/kernels PiperOrigin-RevId: 165688864 --- Commit 711be6adc authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: `Dataset.from_generator()` constructs a dataset from a Python generator. With this change, it becomes possible to use a Python generator as the source dataset for a `tf.contrib.data` input pipeline. This enables easier integration with non-TensorFlow data sources. The generator can yield a nested structure of NumPy arrays, or values convertible to NumPy arrays. This addresses a concern raised in issue #7951. PiperOrigin-RevId: 165663857 --- Commit 00594ecdd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: New landing page and leftnav for Programmer's Guide. PiperOrigin-RevId: 165660897 --- Commit 7359fec79 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Implement Batchnorm Inference by expanding them into smaller ops. 1. Add batch norm inference support in batchnorm_rewriter 2. Connect xla's batchnorm inference to tf's FusedBatchNorm RELNOTES: n/a PiperOrigin-RevId: 165655351 --- Commit f0da8bf56 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Rematerialization] Reconsider to remat operations with control dependencies We added a conservartive logic to not rematerialize operations with control dependencies since the rematerialized operations could result in undesired ordering. However, we now realize that when we remat an operation, we also copy the dependencies of them, which guarantees the rematerialized operation has the same constraint as the original operation. PiperOrigin-RevId: 165654629 --- Commit a1225879c authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Propagate error code in computation replay tool. PiperOrigin-RevId: 165654497 --- Commit 513def0bb authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed BuildOpInfoWithoutDevice PiperOrigin-RevId: 165653933 --- Commit d7e425f0b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix linear algebra benchmarks. PiperOrigin-RevId: 165653891 --- Commit 465c40819 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix the shape information propagation for Enter op. PiperOrigin-RevId: 165653579 --- Commit c0198fd8d authored by Derek Murray<derek.murray@gmail.com> Committed by gunan<gunan@google.com>: [CMake] Add missing dependencies on boosted_trees protos and other fixes (#12315) * [CMake] Add missing dependencies * Avoid rebuilding boosted_trees protos for Python. * Add GPU implementation ZeroInitializerOp to the CMake build. --- Commit 641943fd7 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 165652758 --- Commit e31346452 authored by Jonathan Hseu<jhseu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TPUEstimator: Fix the outfeed thread join. PiperOrigin-RevId: 165651781 --- Commit 565a9d350 authored by Vijay Vasudevan<vrv@google.com> Committed by Andrew Harp<andrewharp@users.noreply.github.com>: Add missing 'type' keyword to ArgumentParser add_argument (#12275) Fixes #12210 --- Commit 19a55725a authored by Rohan Jain<rohanj@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allowing functions to run across devices. This change expands the ProcessFunctionLibraryRuntime library to Instantiate and Run functions on different devices. When a FunctionLibraryRuntime encounters a function with a target that is another device, it delegates Instantiate() and Run() calls to the ProcessFunctionLibraryRuntime. This change also moves the table_ containing all function instantiations to the PFLR instead of the FunctionLibraryRuntime. PiperOrigin-RevId: 165651194 --- Commit 8c0853db7 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a test for negative and zero pow() input. PiperOrigin-RevId: 165650096 --- Commit a3c4e980e authored by Pete Warden<petewarden@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed input shape for freezing audio graphs PiperOrigin-RevId: 165649546 --- Commit 9b9e5989d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a call_logit_fn utility for logit_fn's, similar to Estimator's _call_model_fn. PiperOrigin-RevId: 165649388 --- Commit 4ff1f4442 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Remove the script as well if building tf_nightly. --- Commit 373d78987 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Adding the break. --- Commit 0139ac983 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Remove tensorboard as a required package if we are building tf_nightly. --- Commit a92bd5d5c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 165630063 PiperOrigin-RevId: 165957821
* Merge changes from github.Gravatar A. Unique TensorFlower2017-08-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 9f81374c3 authored by raymondxyang<zihao.yang@microsoft.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add option for build more python tests in Cmake (#11853) * Ignore Windows built project * Fix deprecated methods in tf.contrib.python * Fix regex match for Windows build in contrib.keras * Fix Regex match for Windows build in session_bundle * * Fix deprecated methods * Fix regex match for Windows * Fix compatibility issue with Python 3.x * Add missing ops into Windows build for test * Enabled more testcases for Windows build * Clean code and fix typo * Add conditional cmake mode for enabling more unit testcase * Add Cmake mode for major Contrib packages * Add supplementary info in RAEDME for new cmake option * * Update tf_tests after testing with TF 1.3 * Clean code and resolve conflicts * Fix unsafe regex matches and format code * Update exclude list after testing with latest master branch * Fix missing module --- Commit 98f0e1efe authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Dynamic ksize and strides with MaxPool (#11875) * Dynamic ksize with max_pool This fix tries to fix the issue raised in 4746 where ksize is static (attr) with max_pool. This fix changes ksize to input tensor so that it is dynamic now. This fix fixes 4746. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add dynamic ksize to MaxPoolGrad and MaxPoolGradGrad Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for max_pool_v2 Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix GPU Jenkins issue. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Enable MaxPoolV2 in GPU Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Hide MaxPoolV2 and other fixes. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 02d6bc185 authored by Bairen Yi<byronyi@users.noreply.github.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: remove useless variable (#12212) --- Commit ed6b0d905 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for s390x in calculation of cpu_frequency (#12201) --- Commit 627dfc9dd authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit c0f9b0a91 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: In fast-math mode emit a tanh that has a faster min/max. PiperOrigin-RevId: 164943597 --- Commit 87605f3d6 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Use HloEvaluator for ComputeConstant, remove the need of a dedicated compute constant backend. PiperOrigin-RevId: 164940970 --- Commit 881de45c2 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add bool type supports for GPU kernels (#11927) * Add bool type supports for GPU kernels * Add bool type test codes for GPU kernels --- Commit eeacdcdb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add missing "CPU" suffix in registrations. PiperOrigin-RevId: 164939527 --- Commit de01be952 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for Big Endian in graph_constructor_test and wav_io (#12179) --- Commit 26719d29f authored by QingYing Chen<pkudysj@126.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Implement CRF decode (Viterbi decode) for tensor (#12056) * Implement CRF decoding for tensors * add test code for tensor version's CRF decoding * made modifications according to pylint * add some comments for crf decode * remove useless code * add comments at the top comment of crf module and add more comments in crf_test * capitalize first char of first word in comments * replace crf_decode test code with a deterministic example --- Commit f9a81ca2f authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Create CI build script for Raspberry Pi (#12190) * Create CI build script for Raspberry Pi * Moved location of Pi build script --- Commit e2a163a90 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merge code from PR #11940 with internal changes from cl/164796436, and update Python tests to also run on GPU. PiperOrigin-RevId: 164929133 --- Commit 08bbfa187 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Fix typos (#12195) --- Commit ab96f41fb authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Extends matmul_benchmark.py to cover SYCL (#11697) * [OpenCL] Extends matmul_benchmark.py to cover SYCL * Fixed typo * /gpu:0 -> /device:GPU:0 * Fixes control_flow_ops_py_test * /gpu: -> /device:GPU: * Fixes //tensorflow/python/profiler/internal:run_metadata_test * gpu: -> GPU: * Fixes tfprof_node * [OpenCL] Fixes device path to name with many colons (#123) The device path is constructed from a device name by replacing all colons with underscores. Some device names contain more than one colon, for example 'device:SYCL:0' which gives a path 'device_SYCL_0'. The previous code would not convert this back to the original device name, but rather to 'device:SYCL_0'. An alternative fix would be to convert all underscores to colons in the device name (i.e. remove the restriction inside `replace("_", ":", 1)`), however I'm not sure if there are any device names which contain underscores. * If no gpu device aviable fake one * gpu: -> device:GPU * Fixes profiler test * /gpu:x -> /device:GPU:x * Fixes debug_io_utils_test.cc test * Fixes device_name_utils_test.cc --- Commit 35e7a3665 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Remove unneeded casting of int64 for reverse_sequence (#12192) This fix remove unneeded cast of int64 for reverse_sequence: ``` lengths = math_ops.to_int64(lengths) ``` as int32 has already been enabled for reverse_sequence. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 9fba8c185 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add benchmark dashboard link to benchmarks doc. Also, I added a link and description for Benchmarks page to Community index page. PiperOrigin-RevId: 164924906 --- Commit bb6f32fa7 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. PiperOrigin-RevId: 164923041 --- Commit 9103096c1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Thomas K?ppe<tkoeppe@google.com>: Merged commit includes the following changes: 164923041 by meheff: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. -- PiperOrigin-RevId: 164923041 --- Commit 822603aed authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merging sibling fusion instruction using multi_output_fusion PiperOrigin-RevId: 164920220 --- Commit c035aa2a8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 164917891 --- Commit e1e81d9ba authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Fixes double memcpy bug (#151) (#12173) * [OpenCL] Fixes double memcpy bug (#151) As the debg CopyOp is called on a Tensor without type, we need to use the DataType enum to get type information, and use this to pass the type on to Eigen. This is a workaround Eigen's need to have a type when calling memcpy. If the Eigen memcpy can be provided without a type requirement, then the memcpy in sycl_util is unnecessary. * Acts on feedback from: #12173/files/32cb12a9001b672425867b5a3110fd98e737a20b#r132496277 --- Commit d9ca2d86d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change PiperOrigin-RevId: 164916465 --- Commit b8d13d218 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove more parts of DCASGD missed in the first pass. (47949b) PiperOrigin-RevId: 164914552 --- Commit 73b3d52c7 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: cmake fix PiperOrigin-RevId: 164911656 --- Commit 2173b5b0a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow TFE_TensorHandleCopyToDevice to have the same device as src and destination. It will reuse the same underlying buffer in those cases. PiperOrigin-RevId: 164909906 --- Commit 13eb3b90e authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Experimental C and Python APIs to invoke TensorFlow kernels on concrete values. PiperOrigin-RevId: 164902588 --- Commit 7dfabcc01 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Initialize ExecutionOptions in ComputeConstant to default values. PiperOrigin-RevId: 164894867 --- Commit c8897e9bc authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Static required time computation PiperOrigin-RevId: 164894645 --- Commit 076158f9b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Enable implicit->explicit conversion by default. PiperOrigin-RevId: 164890915 --- Commit 58c4a4cb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Bugfix: number of input channels is not necessarily in the last dimension, after introduction of data_format param. PiperOrigin-RevId: 164889729 --- Commit 8f9b1af8a authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Recover MonitoredSession when the Coordinator is requested to stop with one of the _PREEMPTION_ERRORS. When SyncReplicasOptimizer is used, a preemption in the Coordinator may result in two cases: Case 1) the session gets silently marked as complete Case 2) the session gets stuck This CL aims to solve and verify solutions for both of these problems. Fix 1 changes the should_stop logic. Fix 2 changes the CoordinatedSession.run() logic. SyncReplicasOptimizer runs a separate set of threads using a Coordinator instance. Those threads do FIFOQueue.enqueue; the main thread does a blocking FIFOQueue.dequeue. `sync_token_q` FIFOQueue is on parameter-servers. When one of the PS instances gets preempted, an AbortedError causes the Coordinator to stop via request_stop(ex). That by itself changes the state of MonitoredSession.should_stop() to True (Fix 1). Results of the blocking Dequeue operation are sent to the chief worker via Recv. What happens next depends on the amount of tokens in `sync_token_q`. If there are enough for the next call to Dequeue to return, then the low-level "tf session run() call" returns. The next iteration of the `while not MonitoredSession.should_stop()` loop decides that the training is complete (Case 1). If there are not enough tokens in `sync_token_q`, then the blocking Dequeue is going to keep waiting for them. This results in the graph execution getting stuck and the whole session getting garbage collected after 10 minutes (Case 2). We decided to fix that by re-creating a session after it gets garbage collected (Fix 2). An alternative was to try to cancel the pending Dequeue operation, but it's not clear that it is the right thing to do and it is also not easy. PiperOrigin-RevId: 164888390 --- Commit 46e4de6e5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Undo loop fusion changes for now as they seem to be altering a few results. END_PUBLIC RELNOTES: n/a BEGIN_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 164825735 PiperOrigin-RevId: 165340331
* BUILD cleanup for tensorflow/contrib/session_bundleGravatar A. Unique TensorFlower2017-08-08
| | | | PiperOrigin-RevId: 164584985
* Merge changes from github.Gravatar Benoit Steiner2017-08-04
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit cf375f067 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Adds cudnn_rnn_ops_op_lib and cudnn_rnn_kernels to contrib_ops_op_lib and contrib_kernels respectively. PiperOrigin-RevId: 164170971 --- Commit 95ec58e27 authored by Asim Shankar<ashankar@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: C API: Make TF_TensorFromTensor return an error instead of just logging it. PiperOrigin-RevId: 164167582 --- Commit 15175c870 authored by Jonathan Hseu<jhseu@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Build fixes. - Allow var_list as a positional argument in CrossShardOptimizer. - Set the number of shards to 1 when not running on TPU, to allow evaluate() and predict() on CPU/GPU to work. PiperOrigin-RevId: 164161640 --- Commit bd3e894f7 authored by Yao Zhang<yaozhang@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Support freeze mode for fused batch norm. PiperOrigin-RevId: 164149032 --- Commit e6b6b84c0 authored by Asim Shankar<ashankar@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: C API: TF_Tensors will always be in host memory. This change undoes some experimentation in commit 22651083406ca01ac9d481e3367a3510d25f88cd and restores TF_Tensor behavior to what is was prior to that change. PiperOrigin-RevId: 164146670 --- Commit 8bf3f88f7 authored by Peter Hawkins<phawkins@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [TF:XLA] Add _XLASend and _XLARecv TF ops that wrap the XLA Send/Recv HLO ops. PiperOrigin-RevId: 164124764 --- Commit 626d3200f authored by Peter Hawkins<phawkins@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [XLA] Add test blacklist mechanism for XLA C++ unit tests. PiperOrigin-RevId: 164124423 --- Commit 359cc5f5e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Document dict ordering in nest and make it consistent with sonnet. PiperOrigin-RevId: 164114335 --- Commit 05813b531 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 164089206 --- Commit c451f465d authored by Anna R<annarev@google.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: BEGIN_PUBLIC Automated g4 rollback of changelist 164078808 PiperOrigin-RevId: 164318935
* Merge changes from github.Gravatar Frank Chen2017-07-13
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit fe5338177 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 161727345 --- Commit c65f69119 authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Factor out DenseUpdate ops into dense_update_functor build dep. Also add support for complex types. PiperOrigin-RevId: 161726749 --- Commit 9a172989e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 161726324 --- Commit fd5530d6e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: adding bazel-toolchains repo to workspace. This repo will be necessary for remote execution (specifically for cross OS compilation) PiperOrigin-RevId: 161719899 --- Commit 71c4ec8ed authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a mechanism for switching between multiple iterators by feeding a handle. With this change, you can do the following: 1. Fetch a string handle for any iterator, by evaluating the result of `Iterator.string_handle()`. 2. Define an `Iterator` object based on a `tf.string` placeholder handle. 3. Feed the placeholder using an evaluated string handle to use a particular iterator in a particular step. Concretely, this allows you to define two iterators for a training dataset and a test dataset, and choose which one to use on a per-run basis: ```python train_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator() train_iterator_handle = sess.run(train_iterator.string_handle()) test_iterator = tf.contrib.data.Dataset(...).make_one_shot_iterator() test_iterator_handle = sess.run(test_iterator.string_handle()) handle = tf.placeholder(tf.string, shape=[]) iterator = tf.contrib.data.Iterator.from_string_handle( handle, train_iterator.output_types) next_element = iterator.get_next() loss = f(next_element) train_loss = sess.run(loss, feed_dict={handle: train_iterator_handle}) test_loss = sess.run(loss, feed_dict={handle: test_iterator_handle}) ``` PiperOrigin-RevId: 161719836 --- Commit 6d6dda807 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Fix an issue where plugin/Executor backend is used by default when TF is built from source with XLA support. See Github issue #11122. The priority of the executor backend is set to be higher than the default (50) and CPUs (<100), and is therefore selected as the default when tf.device is not explicitly specified. PiperOrigin-RevId: 161717173 --- Commit 6b28eb084 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Rename HloLocation to HloPosition, to avoid ambiguity with MemoryLocation. PiperOrigin-RevId: 161716528 --- Commit 8e7f57371 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expose tf.contrib.nn.rank_sampled_softmax_loss. PiperOrigin-RevId: 161716450 --- Commit e424d209a authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Use a more numerically accurate formulation of ResourceApplyRMSProp. PiperOrigin-RevId: 161706120 --- Commit 45a58d378 authored by Skye Wanderman-Milne<skyewm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Introduce Python-only extensions to the C API Implements an incomplete version of Operation._add_control_input() using a new extension to make sure the plumbing works. This also adds header guards to c_api_internal.h, which were missing. For some reason the missing guards caused problems in the cmake build even though there doesn't appear to be any #include cycles. PiperOrigin-RevId: 161705859 --- Commit 4f5433634 authored by Jonathan Hseu<jhseu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Rename TpuEstimator to TPUEstimator and TpuConfig to TPUConfig to follow PEP8 naming conventions. PiperOrigin-RevId: 161704561 --- Commit 38180d7bb authored by Yun Peng<pcloudy@google.com> Committed by gunan<gunan@google.com>: Disable nn_test on Windows (#11445) --- Commit e1de7a1b0 authored by Yun Peng<pcloudy@google.com> Committed by gunan<gunan@google.com>: Windows Bazel Build: Build TensorFlow with wrapper-less CROSSTOOL (#11454) --- Commit c9d03a568 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add tf.contrib.nn.rank_sampled_softmax_loss, a variant of tf.nn.sampled_softmax_loss that has been shown to improve rank loss. Paper: https://arxiv.org/abs/1707.03073 PiperOrigin-RevId: 161702455 --- Commit 9aa0dcbf2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add shape check for MakeQuantileSummariesOp. PiperOrigin-RevId: 161698801 --- Commit 9c4da4a24 authored by vhasanov<KyotoSunshine@users.noreply.github.com> Committed by Frank Chen<frankchn@gmail.com>: Deleted unnecessary repetition of the same text. (#11459) The same text was repeated two times. I deleted the repetition. --- Commit d1e3cadda authored by DimanNe<dimanne@gmail.com> Committed by drpngx<drpngx@users.noreply.github.com>: Fix linking options issued by bazel in oorder to make gradients register (#11449) --- Commit 8605f7ab8 authored by Taehoon Lee<me@taehoonlee.com> Committed by Frank Chen<frankchn@gmail.com>: Fix typos (#11444) --- Commit 7c1fe9068 authored by Karl Lessard<karllessard@users.noreply.github.com> Committed by Frank Chen<frankchn@gmail.com>: [Java] Add base classes and utilities for operation wrappers. (#11188) * Add base classes and utilities for operation wrappers. * Rename Input interface to Operand * Introduce changes after code review --- Commit 2195db6d8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove unused flag: xla_hlo_graph_for_compute_constant PiperOrigin-RevId: 161686867 --- Commit a72fc31bc authored by Martin Wicke<martin.wicke@gmail.com> Committed by Martin Wicke<martin.wicke@gmail.com>: Remove tabs. Unassign contrib/framework. --- Commit 6e74bd65a authored by Martin Wicke<martin.wicke@gmail.com> Committed by Martin Wicke<martin.wicke@gmail.com>: Add CODEOWNERS Added what we know about contrib mainly, and some well-separated components. --- Commit de546d066 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BUILD cleanup in tensorflow/compiler/... PiperOrigin-RevId: 161679855 --- Commit 576c7b1ec authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 161218103 PiperOrigin-RevId: 161868747
* Mark SessionBundle targets as no longer supported.Gravatar Sukriti Ramesh2017-07-11
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* Further BUILD cleanup in tensorflow/contrib/...Gravatar A. Unique TensorFlower2017-07-11
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* Add a call to AddDefaultAttrsToGraphDef when loading deprecated ↵Gravatar Kiril Gorovoy2017-07-10
| | | | | | SessionBundles that may run into a problem with undefined attributes. PiperOrigin-RevId: 161461770
* Adjust test sizesGravatar A. Unique TensorFlower2017-06-09
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* Remove a further unused proto header inclusionGravatar A. Unique TensorFlower2017-06-07
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* Change function parameters to references to avoid copying, or otherwise move ↵Gravatar A. Unique TensorFlower2017-06-02
| | | | | | from function parameters when moving reduces the amount of copying. PiperOrigin-RevId: 157867333
* Replace protobuf CopyFrom with assignmentGravatar A. Unique TensorFlower2017-05-30
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* Remove unused BUILD dependenciesGravatar A. Unique TensorFlower2017-05-30
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* Add session.list_devices() APIGravatar Brennan Saeta2017-05-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | In order to debug a TensorFlow cluster or check whether devices are available in a local session (e.g. GPU drivers are loaded), this change adds a `sess.list_devices` API to list all devices within the cluster. This CL implements the list_devices() feature via extensions to the TensorFlow C API, and the corresponding additions to the session.h session class and corresponding subclasses for both direct sessions, grpc_sessions, tensorflow_serving, and others. Additionally, in order to accomidate ClusterSpec propagation clusters, Master::ListDevices now also includes a session_handle in order to identify the appropriate master_session on which it should list the available devices. (With ClusterSpec propagation, different sessions can have different servers with different device capabilities.) This CL adds a ListDevices() API to MasterSession. It is most efficient to implement this API call there, because the MasterSession already has a list of devices. Additionally, this change upgrades the implementation of Master::ListDevices() to delegate to the MasterSession if a session handle is specified, and to return an error if no corresponding session is found. PiperOrigin-RevId: 157239656
* Add an error message to the bundle-shim for SessionBundle deprecation.Gravatar Sukriti Ramesh2017-05-24
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* Merge changes from github.Gravatar Benoit Steiner2017-05-11
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* Remove unnecessary copies of value parameters.Gravatar Peter Hawkins2017-05-10
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* Mark SessionBundle deprecated in documentation.Gravatar Sukriti Ramesh2017-05-10
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* Fix flaky testsGravatar Kiril Gorovoy2017-04-05
| | | | Change: 152272801
* Replace all_files data dependencies of build_pip_package with py_library targetsGravatar Shanqing Cai2017-03-10
| | | | | | | Benefits of this CL: 1) Removes ~70 python unit test files from the pip wheel. 2) Makes it easier to track which files are included in the pip wheel through bazel queries. Change: 149810103
* Remove unused variables in bundle-shim test.Gravatar Sukriti Ramesh2017-03-08
| | | | Change: 149615173
* Mark Exporter and SessionBundle as deprecated. Add recommendation to switch toGravatar Sukriti Ramesh2017-03-03
| | | | | SavedModel. Change: 149158386
* Replace pip testing script with bazel.Gravatar Gunhan Gulsoy2017-02-13
| | | | Change: 147423640
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