aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/cc/gradients
Commit message (Collapse)AuthorAge
* Merge remote-tracking branch 'origin'Gravatar Cao Zongyan2018-09-11
|\
* | Avoid golden API file changing.Gravatar Cao Zongyan2018-09-05
| |
* | Code fix against ci_build error results.Gravatar Cao Zongyan2018-09-03
| |
* | Refine LeakyRelu codes.Gravatar Cao Zongyan2018-08-29
| | | | | | | | | | 1. Add C++ gradient of gradient definition of LeakyReLu and revalant UT. 2. Using forward compatibility layer for python code changes.
* | Add LeakyRelu C++ Op and its gradient implementation.Gravatar Cao Zongyan2018-08-16
| | | | | | | | | | | | | | | | LeakyRelu, defined as 'y = { x (x>=0) or alpha*x (x<0) }', was computed by combined Ops 'max(x, alpha*x)' in current codes. Hence its gradient calculation for back propagation would contain a serial of element-wise Ops. This looks really unnecessary for such a simple op and it could be done within just one Op with less memory accesses.
| * Merge remote-tracking branch 'upstream/master' into ENH/unsafe_divGravatar Yan Facai (颜发才)2018-08-14
| |\ | |/ |/|
| * CLN: rename UnsafeDiv => DivNoNanGravatar Yan Facai (颜发才)2018-08-14
| |
* | Merge pull request #19105 from facaiy:ENH/unsafe_divGravatar TensorFlower Gardener2018-08-11
|\ \ | | | | | | | | | PiperOrigin-RevId: 208352779
* \ \ Merge pull request #19653 from theflofly:segment-sum-prodGravatar TensorFlower Gardener2018-08-10
|\ \ \ | | | | | | | | | | | | PiperOrigin-RevId: 208266242
| | | * CLN: clang-format format cc codesGravatar Yan Facai (颜发才)2018-08-09
| | |/
* | | Merge pull request #20928 from kbsriram:tf-fill-gradGravatar TensorFlower Gardener2018-08-07
|\ \ \ | | | | | | | | | | | | PiperOrigin-RevId: 207735371
| | | * Merge branch 'master' into ENH/unsafe_divGravatar Yan Facai (颜发才)2018-08-07
| | | |\ | |_|_|/ |/| | |
* | | | Merge pull request #21021 from kbsriram:tf-image-gradGravatar TensorFlower Gardener2018-08-03
|\ \ \ \ | | | | | | | | | | | | | | | PiperOrigin-RevId: 207350813
| | | | * Merge remote-tracking branch 'upstream/master' into ENH/unsafe_divGravatar Yan Facai (颜发才)2018-07-31
| | | | |\ | |_|_|_|/ |/| | | |
| | | | * TST: add test case, division by zeroGravatar Yan Facai (颜发才)2018-07-30
| | | | |
* | | | | Merge pull request #20671 from yongtang:06052018-tan-complexGravatar TensorFlower Gardener2018-07-27
|\ \ \ \ \ | | | | | | | | | | | | | | | | | | PiperOrigin-RevId: 206341656
* \ \ \ \ \ Merge pull request #20763 from pbanavara:masterGravatar TensorFlower Gardener2018-07-24
|\ \ \ \ \ \ | | | | | | | | | | | | | | | | | | | | | PiperOrigin-RevId: 205880828
| | | * | | | Add C++ gradients for some image operators.Gravatar KB Sriram2018-07-21
| |_|/ / / / |/| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Added gradients and tests for - ResizeBilinear - ResizeBicubic - ResizeNearestNeighbor Note: Some of the tests are for the operator itself rather than the gradient, paralleling existing tests in image_grad.py See https://github.com/tensorflow/tensorflow/issues/21019
| | | * | | Add gradient for tensorflow::ops::FillGravatar KB Sriram2018-07-18
| |_|/ / / |/| | | | | | | | | | | | | | See https://github.com/tensorflow/tensorflow/issues/20926
| * | | | Fix: #12686 SoftmaxCrossEntropyWithLogitsGravatar Pradeep Banavara2018-07-12
|/ / / / | | | | | | | | | | | | Committing in a new PR as the old PR has too many commit files
| * / / Remove TODO and enable complex for tan in test case.Gravatar Yong Tang2018-07-10
|/ / / | | | | | | | | | Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* | | C++ gradient for Slice (#17592)Gravatar KB Sriram2018-06-26
| | | | | | | | | See https://github.com/tensorflow/tensorflow/issues/9645
* | | Add C++ no gradient for Floor operation. (#19662)Gravatar Courtial Florian2018-06-05
| | |
| * | Add C++ SegmentSum gradient operation.Gravatar Florian Courtial2018-05-30
|/ /
| * Merge branch 'master' into ENH/unsafe_divGravatar Yan Facai (颜发才)2018-05-27
| |\ | |/ |/|
* | Merge pull request #17331 from kbsriram/easy-nn-gradsGravatar Asim Shankar2018-05-25
|\ \ | | | | | | C++ gradients: Fractional*Pool, Soft{Plus,Sign}
* | | ClangTidy - Readability cleanup:/code-findings-fixes.Gravatar A. Unique TensorFlower2018-05-14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * unused using-declarations * redundant string conversions * C-style casts * redundant get() call on smart pointer * the 'empty' method should be used to check for emptiness instead of 'size' PiperOrigin-RevId: 196585984
| | * CLN: fix minor errorGravatar Yan Facai (颜发才)2018-05-06
| | |
| | * ENH: add gradient functionGravatar Yan Facai (颜发才)2018-05-05
| | |
* | | Merge changes from github.Gravatar Patrick Nguyen2018-05-01
| | | | | | | | | | | | PiperOrigin-RevId: 194997009
| | * Merge pull request #17556 from kbsriram/strided-slice-gradGravatar Martin Wicke2018-04-22
| |/| |/| | | | | C++ gradient for StridedSlice
* | | Merge changes from github.Gravatar Shanqing Cai2018-03-12
| | | | | | | | | | | | PiperOrigin-RevId: 188817194
| | * Clang-format fixes.Gravatar KB Sriram2018-03-08
| | |
| | * C++ gradient for StridedSliceGravatar KB Sriram2018-03-08
| | | | | | | | | | | | See https://github.com/tensorflow/tensorflow/issues/9645
| | * Merge commit for internal changesGravatar Akshay Modi2018-03-06
| | |\ | |_|/ |/| | | | | o Fixed simple merge issue in tf/contrib/timeseries/python/timeseries/BUILD
* | | Correct op::Attr usage in C++ gradient implementations.Gravatar A. Unique TensorFlower2018-03-05
| | | | | | | | | | | | | | | | | | | | | | | | | | | Also enabled TF_MUST_USE_RESULT for the generated Attr API, so we can catch any new errors early. Fixes #17360 PiperOrigin-RevId: 187925761
| * | C++ gradients: Fractional*Pool, Soft{Plus,Sign}Gravatar KB Sriram2018-02-28
| |/ | | | | | | | | | | | | | | | | | | | | | | | | | | 1. Adds gradients for four nn ops: FractionalAvgPool FractionalMaxPool SoftPlus SoftSign 2. Update randomization to allow numeric gradient checks on max pooling algorithms with more than one pool. Resolves https://github.com/tensorflow/tensorflow/issues/17330
| * C++ gradients for MaxPool3D, AvgPool and AvgPool3DGravatar KB Sriram2018-02-23
|/ | | | Resolves tensorflow/tensorflow#17195
* Remove THIRD_PARTY_ from #include guardsGravatar Sanjoy Das2018-01-24
| | | | | | They don't make sense in the open source repository. PiperOrigin-RevId: 183140889
* Merge changes from github.Gravatar Raghuraman Krishnamoorthi2018-01-03
| | | | PiperOrigin-RevId: 180746153
* Remove using directives. Test appertaining to ops have been moved into ↵Gravatar A. Unique TensorFlower2018-01-02
| | | | | | | | namespace tensorflow::ops; all other tests now use explicit using-declarations. Some tests are now using unnamed namespaces more aggressively to make as many names internal as possible. PiperOrigin-RevId: 180564422
* Merge changes from github.Gravatar Patrick Nguyen2017-12-28
| | | | PiperOrigin-RevId: 180301735
* Merge changes from github.Gravatar A. Unique TensorFlower2017-12-22
| | | | PiperOrigin-RevId: 179953488
* Merge changes from github.Gravatar Shanqing Cai2017-12-06
| | | | PiperOrigin-RevId: 178185697
* Merge changes from github.Gravatar Benoit Steiner2017-10-24
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 9f8523640 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 173145770 --- Commit 01b6b0638 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Cut tracing memory cost PiperOrigin-RevId: 173144626 --- Commit 5e23e0e67 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Erase cloned instructions on the fly when merging fusion nodes. This avoids the awkward situation where an RNG which is clearly eligible for fusion becomes ineligible mid-fusion because it suddenly has an extra (dead) user. PiperOrigin-RevId: 173141716 --- Commit 1038927c0 authored by Saurabh Saxena<srbs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add SerializeIterator op that serializes an IteratorResource into a variant tensor. Add DeserializeIterator op that builds IteratorResource from a variant tensor. Move BundleReaderWrapper and BundleWriterWrapper from dataset.h to iterator_ops.cc. Add generic key-value store interfaces IteratorStateReader and IteratorStateWriter for reading/writing state of iterators. Get rid of IteratorBundleReader and IteratorBundleWriter. PiperOrigin-RevId: 173140858 --- Commit 57f3e529d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change PiperOrigin-RevId: 173136642 --- Commit 0e56ffb7b authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix breakages in OSS builds See example breakages logs at: http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10847/console http://ci.tensorflow.org/job/tensorflow-cl-gpu/11008/console 1. CL/172477381 added the no_oss tag to tests with oss_serial tags, which broke the logic of OSS_SERIAL tests in pip.sh and run_pip_test.sh. This CL fixes that. 2. The nccl_kernels BUILD target in contrib/nccl/BUILD was missing some dependencies. This CL adds the missing ones. Fixes: #13918 PiperOrigin-RevId: 173133914 --- Commit 3ed049b67 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allows calling keras layers in eager mode. PiperOrigin-RevId: 173129805 --- Commit 4ec6f2b07 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Switching contrib.summaries API to be context-manager-centric PiperOrigin-RevId: 173129793 --- Commit 03b02ffc9 authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Put Bazel mirror URLs first PiperOrigin-RevId: 173127955 --- Commit 46ab25e4d authored by David Majnemer<majnemer@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add support for convolutions with no spatial dimensions PiperOrigin-RevId: 173126950 --- Commit fc56349b7 authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.data] Convert dataset arguments to tensors as early as possible. This change raises a `TypeError` earlier if (for example) the `batch_size` argument to `Dataset.batch()` has the incorrect type. PiperOrigin-RevId: 173126678 --- Commit 4f7503a87 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: K-FAC: Support for registering multiple minibatches with register_fully_connected() PiperOrigin-RevId: 173121735 --- Commit 2845bfcd6 authored by Tim Harley<tharley@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Avoid listing all modified Enter/RefEnter nodes on INFO, use VLOG(1) instead. Leave a single, simple, message on INFO. PiperOrigin-RevId: 173121726 --- Commit 434695921 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: K-FAC: _check_registration() supports multiple towers. PiperOrigin-RevId: 173115870 --- Commit 670dddf4a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Multi-minibatch support for tf.contrib.kfac.fisher_blocks.FullyConnectedKFACBasicFB. PiperOrigin-RevId: 173109677 --- Commit dc13a8e2f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix import of meta graphs with partitioned variables into a scope. Saver inspects SliceInfo to decide the variable name when creating a checkpoint. Before this fix even if a partitioned variable ("weights") was imported into a scope "a" it would still be checkpointed as ("weights") instead of ("a/weights") since import_scoped_meta_graph was not adjusting the SliceInfo. WARNING: if you use import_meta_graph on graphs with partitioned_variables WITH an import_scope argument AND then create a Saver to write/read checkpoints this change may break your checkpoint loading. PiperOrigin-RevId: 173105796 --- Commit eea089bdb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: K-FAC: Multi-tower support for ConvDiagonalFB. PiperOrigin-RevId: 173105412 --- Commit 9b9cbbe2a authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Add int64 Tperm type support for `Transpose` (#13909) * Add int64 Tperm type support for `Transpose` This fix adds int64 Tperm support for `Transpose`. In `array_ops.cc`, `Transpose` and `ConjugateTranspose` have been specified as accepting int32 and int64 perm types. However, only int32 kernels has been registered. This fix adds the int64 perm support by removing the constraint on Tperm, resolve the type at runtime, and copying the data type accordingly to correctly handle the int64/int32 types. Additional tests have been added as well. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for int64 of perm in Transpose. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add namespace to hide PermutationHelper Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Enable use_gpu=True for perm type test. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * extra // namespace annotation * Adding a comment about int32 casting that should be safe. Permutations only contain values that refer to dimensions, and the maximum number of dimensions we have is 254, so an int32 is always safe here. --- Commit ac0004e71 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Add int64 shape support on GPU for stateless random ops. (#13908) * Add int64 shape support on GPU for stateless random ops. This fix adds int64 shape support on GPU for stateless random ops `StatelessRandomUniform`, `StatelessRandomNormal`, `StatelessTruncatedNormal`. The int64 shape for stateless random ops is already supported on CPU with int32/int64 processed properly through `MakeShape`. However, on GPU a type constraint `.TypeConstraint<int32>("T")` has been improperly added. Such a type constraint actually prevents an int64 shape type to run on GPU. (As a comparision, no type constraint on CPU). This fix removes the type constraint and allows int64 shape to be run on GPU. This fix also adds test cases for int64 shape support on stateless random ops. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for int64 shape support for stateless random ops. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add int32 to shape types tested. --- Commit 0d437c3be authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Add int64 padding support for MirrorPad (#13907) * Add int64 padding support for MirrorPad This fix adds int64 padding support for `MirrorPad`. In the `array_ops.cc` the `MirrorPad`/`MirrorPadGrad` has been specified as supporting int64 padding. The related kernels does not have the int64 padding registered though. This fix adds the int64 padding support. This fix also adds additional test cases for coverage. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update template for CPU and GPU support of int64 paddings. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add int64 padding support for MirrorPad Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Put eigen header first like before, just in case. --- Commit 690003cc0 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Add `int64` type `multiples` support for `tf.tile` (#13884) * Add `int64` type `multiples` support for `tf.tile` In the doc of `tf.tile` (tf.tile.__doc__) both `int32` and `int64` are supported for `multiples`. However, the kernel for `int64` is not registered yet. This fix adds the support of `int64` `multiples` so that the behavior matches the description of the docs. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update functors for int64 multiples support in `tf.tile` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update test cases for int64 of multiples in `tf.tile` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add GPU and non GPU tests Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * format with clang-format -i Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Move Tmultiples after T (as it is auxilliary) And use `use_gpu=True` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit fd8d517b9 authored by Yunxing Dai<yunxing@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add tests for convolution 1D RELNOTES: n/a PiperOrigin-RevId: 173060283 --- Commit 40c475b48 authored by formath<jinpengliu@163.com> Committed by Vijay Vasudevan<vrv@google.com>: add segment_reduction_ops to tf_op_files (#13901) --- Commit bfa4ec194 authored by Tayo Oguntebi<10927929+tayo@users.noreply.github.com> Committed by Vijay Vasudevan<vrv@google.com>: Update node_def.proto comments (#13874) The device field had outdated comments. Note: We could consider adding tpu as an example here, e.g. "gpu" | "cpu" | "tpu". Thoughts? --- Commit c9cb5a58d authored by formath<jinpengliu@163.com> Committed by Vijay Vasudevan<vrv@google.com>: protobuf lib path bug fix for benckmark on osx (#13878) --- Commit 1c1dad105 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Add int64 axis support for reduction ops. (#13891) * Add int64 axis support for reduction ops. This fix is a follow up to PR 13863. In PR 13863 the program crash is fixed if int64 axis is passed to reduction ops, e.g. reduce_sum, reduce_max, etc. However, 13863 does not process the case of int64 support, it merely fixes the crash. This fix adds the support for int64 axis of reduction ops. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add int64 axis support for mean, prod, sum Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add int64 axis support for min and max. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add int64 axis support for reduce_all and reduce_any Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for int64 axis support of reduce_any and reduce_all Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 17096081e authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Improve resize_bicubic performance by reorganizing loops (#13840) * Improve resize_bicubic performance by reorganizing loops This fix tries to address the issue raised in 13693 where performance of `resize_bicubic` is not on par with opencv. This fix rearranges the loops so that it is the same for num_channel=40 and num_channel=3: Pre-fix: ``` CHANNEL=40 opencv: 145.08ms tf: 314.26ms CHANNEL=3 opencv: 11.95ms tf: 8.95ms ``` Post-fix: ``` CHANNEL=40 opencv: 144.25ms tf: 214.55ms CHANNEL=3 opencv: 11.78ms tf: 14.07ms ``` This fix fixes 13693. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Keep special handling of `num_channels=3` for `resize_bicubic` This commit keeps special handling of `num_channels=3` for `resize_bicubic`: Without special handling: ``` opencv: 11.78ms tf: 14.07ms ``` With special handling: ``` opencv: 11.74ms tf: 9.46ms ``` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Expand Benchmark test for resize_bicubic Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update from review feedback. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit b927df57f authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Update protobuf.cmake to b04e5cba356212e4e8c66c61bbe0c3a20537c5b9 (#13893) This fix tries to address the issue raised in 8187 where protobuf.cmake used different version as bazel. The reason for discrepancy was due to the fact that a customerized protobuf was needed with Windows patch. Since the patch has been merged in (https://github.com/google/protobuf/pull/2203), it makes sense to update protobuf.cmake so that the same version of cmake is used. This fix fixes 8187. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit d1183ca6a authored by Vijay Vasudevan<vrv@google.com> Committed by GitHub<noreply@github.com>: Give each variable a unique name in accumulate_n_v2_eager_test. (#13886) --- Commit a69945810 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update pin for bazel-toolchains to latest version PiperOrigin-RevId: 173002530 --- Commit 9d55c249c authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix doc in TF_CALL_ when invoked in mobile platform (#13881) * Fix doc in TF_CALL_ when defined(IS_MOBILE_PLATFORM) && !defined(__ANDROID_TYPES_FULL__) This is a small doc fix that includes bool as part of the types that is supported in mobile (IS_MOBILE_PLATFORM && !__ANDROID_TYPES_FULL__), as bool is clearly invoked in the following define. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Also add bool to android full version. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit ba49d8583 authored by Bjarke Hammersholt Roune<broune@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Slight change to reduce_test to avoid generating inf, which was triggering an inf detector unnecessarily. PiperOrigin-RevId: 172965466 --- Commit 93e8f3c67 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding Python ApiDef overrides. PiperOrigin-RevId: 172960496 --- Commit 0d6a2e353 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change. PiperOrigin-RevId: 172960439 --- Commit 62df65c72 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add dtype argument to Mean and Accuracy object-oriented metrics. PiperOrigin-RevId: 172957714 --- Commit d7409d32b authored by Simone Cirillo<my.accounts@gmx.se> Committed by Vijay Vasudevan<vrv@google.com>: Fix import of spatial_softmax from tensorflow.contrib.layers (#13833) --- Commit df8bce63d authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix crash when `int64` axis is passed to `tf.reduce_sum` (#13863) * Fix crash when `int64` axis is passed to `tf.reduce_sum` This fix tries to fix the crash triggered by `int64` axis passed to `tf.reduce_sum`: ``` ubuntu@ubuntu:~/tensorflow2$ (cd && python) Python 2.7.12 (default, Nov 19 2016, 06:48:10) [GCC 5.4.0 20160609] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf >>> v = tf.reduce_sum([1,2,3], tf.constant(0, tf.int64)) 2017-10-20 15:55:06.993430: F tensorflow/core/framework/tensor.cc:601] Check failed: dtype() == expected_dtype (9 vs. 3) ubuntu@ubuntu:~/tensorflow2$ ``` The issue is caused by the fact that shape inference in `common_shape_fns.cc` only assumes int32 without proper handling of diffent types. In `math_ops.cc` both int32 and int64 are mentioned. NOTE that this fix does not address the issue that int64 is not supported. To allow int64 axis it is more than adding a template in `ReductionOp` as the type of the axis seems to be decided by some other ways in Eigen. This fix merely fixed the crash so that an error message will return without exit from the python program "No OpKernel was registered to support Op 'Sum' with these attrs". Still, I think its worth to at least allow the program to continue in case of unsupported kernel. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update implementation with a template helper function. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 29c7b4658 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding the Stanford Tensorflow class to community resources. PiperOrigin-RevId: 172956049 --- Commit f758b24a8 authored by Alexandre Passos<apassos@google.com> Committed by Vijay Vasudevan<vrv@google.com>: Variable name for the eager test (#13873) --- Commit a5fe66b15 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Removed some unnecessary broadcasts in binary ops where only one input needs broadcasting (which is a fairly common case, even in the fallback path). PiperOrigin-RevId: 172950493 --- Commit c77090a0a authored by Yong Tang<yong.tang.github@outlook.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix issues where int64 crops could not be passed to batch_to_space. (#13862) * Fix issues where int64 crops could not be passed to batch_to_space. This fix tries to address the issue where int64 `crops` could not be passed to `batch_to_space` even though both int32 and int64 are specified as supported in the docs (tf.batch_to_space.__doc__) The reason is that BatchToSpace kernel puts a constraint of int32 to crops data types. This fix removed the constraint so that int64 `crops` could be supported. NOTE: Just removing the constraint should work and it is not necessary to add specification to the kernel class template, as `SubtleMustCopyFlat` called in the class already correctly handled both int32 and int64 cases. Besides, other data types (e.g., float or double) will not be passed to the kernel as they are guarded by the specification in `array_ops.cc`. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Also remove int64/int32 type constraints for SpaceToBatch kernels Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for int64 crops of batch_to_space and space_to_batch Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix test failures. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 494837936 authored by Joshua V. Dillon<jvdillon@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make `tf.contrib.distributions` quadrature family accept a `Tensor` for `quadrature_grid_and_probs` argument. PiperOrigin-RevId: 172950094 --- Commit 9c825d32c authored by Jinze Bai<baijinze1994@163.com> Committed by Vijay Vasudevan<vrv@google.com>: Merge two GPU kernel launching to one in DiagOp. (#13859) --- Commit c0ca50a47 authored by Yan Facai (???)<facai.yan@gmail.com> Committed by Vijay Vasudevan<vrv@google.com>: ENH: add Relu6GradGrad (#13268) * ENH: add Relu6GradGrad * TST: add test case * CLN: import nn_grad * TST: add init value --- Commit 8ff33271e authored by Justin Lebar<jlebar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Dump the computation's SessionModule as part of the tf_compile rule. PiperOrigin-RevId: 172946149 --- Commit ebcae4a5e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add streaming_precision_recall_at_equal_thresholds This helper method computes streaming tp, fp, tn, fp, precision, and recall for the user in a way that exhibits O(T + N) time and space complexity (instead of O(T * N)), where T is the number of thresholds and N is the size of the predictions tensor. Thanks to Frank Chu for the efficient algorithm! PiperOrigin-RevId: 172946073 --- Commit ccfd9c1e5 authored by Sanjoy Das<sanjoy@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Log Hlo IR during AOT compilation PiperOrigin-RevId: 172944165 --- Commit 985031a10 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allows tfe.enable_eager_execution(device_policy=tfe.DEVICE_POLICY_WARN). PiperOrigin-RevId: 172943398 --- Commit 703182d85 authored by Mingxing Tan<tanmingxing@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add performance guide for fused decode_and_crop_jpeg optimization. PiperOrigin-RevId: 172943116 --- Commit 66b1f4383 authored by Francois Chollet<fchollet@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make Network compatible with eager mode. Currently it only allows to instantiate a Network in eager mode using the regular Keras API, and call it on eager tensors. PiperOrigin-RevId: 172942569 --- Commit 41df2cec2 authored by ashankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Testing pending CL: 172939383 --- Commit 37fd95179 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Simplifies capturing code in graph_callable to use recent function improvements. PiperOrigin-RevId: 172937003 --- Commit d1e7382af authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 172924803 PiperOrigin-RevId: 173347587
* Save an unnecessary logical_not in the maximum/minimum gradient.Gravatar RJ Ryan2017-10-05
| | | | PiperOrigin-RevId: 171167415
* Fix flakiness issues in c++ nn gradient tests.Gravatar Suharsh Sivakumar2017-09-22
| | | | | | | | Changes: - Tolerance was too strict for L2LossGrad. Reducing tolerance to 1e-3 resolved the issue. - Numeric gradient computation perturbation changed the value of the max value in MaxPool and MaxPoolV2 if two values were too close together (thanks Chad!). Resolved this by ensuring that the tests only compute one window on the entire input. Then I ensure that the max value of the random value is max by 1e-2, so that a perturbation can't replace it. - Also some minor formatting fixes in nn_grad.cc PiperOrigin-RevId: 169732110
* Increase tolerance on nn_grad_test.Gravatar A. Unique TensorFlower2017-09-21
| | | | PiperOrigin-RevId: 169645639
* Merge changes from github.Gravatar Patrick Nguyen2017-09-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC I also integrated #13073 by hand to make TAP happy. --- Commit 92362d0f0 authored by Skye Wanderman-Milne<skyewm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add WhileContext class and add plumbing for creating them. This change introduces WhileContext, which stores information about a while loop and will be used in future changes to generate while loop gradient graphs. Exit nodes in a while loop now have a pointer to their associated WhileContext. This will be used to retrieve the context for a given loop. This change adds an optional parameter to BuildWhileLoop() to create a WhileContext for the while loop (currently this is always true, but gradients will generate while loops without associated contexts). This change also adds a as-yet-unused option to BuildWhileLoop() to return the predicate output. PiperOrigin-RevId: 168562303 --- Commit a4f6e7c1a authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add mel-scale conversion matrix support to tf.contrib.signal. PiperOrigin-RevId: 168560255 --- Commit b00b6d23c authored by Henry Tan<henrytan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix a segmentation fault caused by invalid log directory in InternalFlush(). PiperOrigin-RevId: 168557063 --- Commit 2bc7a155a authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add uint16 support for tf.decode_raw (#12719) * Add uint16 support for tf.decode_raw This fix tries to address the request raised in 10124 where uint16 support for tf.decode_raw is needed. tf.decode_raw already support half, float32, float64, int8, int16, int32, int64, uint8. And uint16 was not supported. This fix adds uint16 support for tf.decode_raw. This fix fixes 10124. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix test failure caused by uint16 support of decode_raw and add unit tests. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 009285c09 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove benchmark for TensorShapeOld. PiperOrigin-RevId: 168551108 --- Commit dc1eda8a6 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Fix CHECK-failure crash if a non-tuple was passed to GetTupleElement. PiperOrigin-RevId: 168550703 --- Commit 010922ed9 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: 168549989 --- Commit c8a6131e9 authored by Mark Daoust<markdaoust@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: make `tf.sets` examples executable Fixes #12969 PiperOrigin-RevId: 168549712 --- Commit bece65c6f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use a map instead of a vector of Children() in the BeamEntry. The assumption is that since the entries are sparse (they are all populated, but most are never Active()), using the map will save memory and make iterating over the Children() more efficient. PiperOrigin-RevId: 168548814 --- Commit 0d5ab82ce authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 168548642 --- Commit 3331c574b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Implementing gradients for tf.image.resize_bicubic. PiperOrigin-RevId: 168547412 --- Commit 4982ef0fa authored by Martin Wicke<wicke@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add the ability to warn only once if deprecated functionality is used, and make that the default. PiperOrigin-RevId: 168545655 --- Commit 99423416a authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Make shape inference error messages for the While HLO more readable. Build the error lazily. PiperOrigin-RevId: 168531083 --- Commit d10374e45 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Discard some unneccessary logging commands. PiperOrigin-RevId: 168500721 --- Commit 83cbabb85 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix wrong format of logging message. PiperOrigin-RevId: 168497373 --- Commit eec4f1b3a 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: 168494944 --- Commit 69301f352 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 168494220 --- Commit 9d56f419c authored by Mingxing Tan<tanmingxing@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add crop_and_decode_jpeg_op that combines the crop and decode for better performance. PiperOrigin-RevId: 168493125 --- Commit 48ddf64d0 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Make large params test only run in opt builds. PiperOrigin-RevId: 168491913 --- Commit 11d3ac29d authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add tests for large numbers of parameter / return values and while loops. PiperOrigin-RevId: 168487225 --- Commit 3cd6bdef5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added test cases on R4 slice. PiperOrigin-RevId: 168482049 --- Commit 46a81b5c3 authored by Jacques Pienaar<jpienaar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add cast S64 to F32 test. PiperOrigin-RevId: 168473650 --- Commit 59bdf598d authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add an automatically-generated "tensorflow.python.platform.build_info" script. The motivation for this script is to provide better tools for diagnosing load-time errors (such as the ones that plague the Windows build due to DLL issues). Note that the script is intended to be self-contained, so that it is possible to import it without loading the entire TensorFlow runtime. This generated script currently contains a single symbol, `is_cuda_build`, which records whether the build has GPU support or not. PiperOrigin-RevId: 168471034 --- Commit c3b86347f authored by Olivia Nordquist<nolivia@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: reenabling tests that are passing PiperOrigin-RevId: 168466361 --- Commit c728665ec authored by Henry Tan<henrytan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add const qualifiers whenever appropriate. PiperOrigin-RevId: 168465926 --- Commit bf96fcd13 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use the scalar cache in MeanGrad. PiperOrigin-RevId: 168462267 --- Commit 1cada9ea2 authored by Olivia Nordquist<nolivia@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: reenabling test that passed after 100 runs w/o timing out PiperOrigin-RevId: 168458634 --- Commit 00c865566 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Generate error (instead of segfault) when trying to copy string tensor to GPU in EagerTensor constructor. PiperOrigin-RevId: 168457320 --- Commit 655f26fc7 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Resurrects autograd-free eager gradients. PiperOrigin-RevId: 168448557 --- Commit 8f37f3002 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Cleanups to handling of arguments during XLA compilation: * combine resource kinds in XlaCompiler::Argument::Kind, use a separate XlaResource::Kind field to distinguish different kinds of resource. * merge XlaContext::HandleOrConstant and XlaExpression, which were almost identical. * remove XlaContext::Argument; instead, build XlaExpressions directly from XlaCompiler and add them to the XlaContext. PiperOrigin-RevId: 168439341 --- Commit 7f5346a80 authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Reduce cmake log mess. * Echo off for the .bat scripts. * TF cmake: disable warnings in some of the patched projects (gif,jpeg,lmdb). PiperOrigin-RevId: 168432070 --- Commit 2ad85aa4d authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use xla/tests:xla_internal_test_main for all tests under tf/compiler/xla and remove any main() definitions in tests. This enables use of flags in all tests. PiperOrigin-RevId: 168424796 --- Commit cd377811d authored by Henry Tan<henrytan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Comment and error message consistency cleanup. PiperOrigin-RevId: 168422582 --- Commit 7c19b82af authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update tf.sparse_reset_shape so that when shrinking the shape of an empty sparse tensor, the result has a shape of all zeros. PiperOrigin-RevId: 168419639 --- Commit fcacb40d4 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: FirstReadyManager for scheduling nodes in VirtualScheduler. The current FIFOManager may yield inefficient scheduling; _Recv pushed to the FIFO blocks other nodes that can run before _Recv due to the node order in FIFO. FirstReadyManager picks a node with the earliest time_ready in the queue, avoiding this problem. Also, fixed VirtualPlacer to properly set device when Node's device name does not include job name and to set GPU:0 as default device. PiperOrigin-RevId: 168418455 --- Commit 7e47624f5 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Initial support for iteration over tf.contrib.data.Dataset objects. TODO: - Support function-valued operation attributes in eager (Required for MapDataset, FilterDataset etc. which encode the per-element computation in a TensorFlow function) PiperOrigin-RevId: 168418250 --- Commit b0a397fce authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Remove unnecessary TFE_Context argument to TFE_OpSetDevice. PiperOrigin-RevId: 168417999 --- Commit 86211d554 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Graph transform to flatten atrous (dilated) convolutions (i.e., a sequence of SpaceToBatchND-Conv-BatchToSpaceND ops) to a regular Conv op with upsampled filters. PiperOrigin-RevId: 168414124 --- Commit 3438981ca authored by David G. Andersen<dga@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Apply exported symbol filtering to the c++ API analogously to what is filtered for the C API. Fixes bug reported in comments on #1924 PiperOrigin-RevId: 168413719 --- Commit 7e023d865 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Remove code from parallel CPU backend outlining that was causing unnecessary copies to be inserted, and which is no longer necessary since we added co-located buffer support for kCall. *) All bitcast copy is no longer necessary as CopyInsertion will insert copies at the root of the computation for a parameter which is live-out. *) Copy if root does not define buffer no longer necessary because colocated assignment looks at points-to set of root instruction. PiperOrigin-RevId: 168412076 --- Commit 5da4df92c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Simplify some code in grappler_item_builder.cc, no change in logic. PiperOrigin-RevId: 168409110 --- Commit 82ec6241a authored by drpngx<drpngx@users.noreply.github.com> Committed by GitHub<noreply@github.com>: Add six and numpy imports --- Commit 9c4ce2452 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add flag parsing to more tests in xla/service specifically those which build HLO graphs. This enables, for example, dumping of the graphs with --xla_generate_hlo_graph. Also remove some superfluous tensorflow test_main dependencies. PiperOrigin-RevId: 168406746 --- Commit d4efa695c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Relax the feed_nodes collection check, which triggers a false positive in some modes where the feed node collection is auto-generated. Keep it as a warning to help correct user-provided feed node lists. PiperOrigin-RevId: 168396408 --- Commit cbc46a856 authored by Changming Sun<chasun@microsoft.com> Committed by gunan<gunan@google.com>: Add a missing template explicit instantiation of SetZeroFunctor (#12791) --- Commit 7bb08f5bf authored by Kevin Slagle<kjslag@gmail.com> Committed by drpngx<drpngx@users.noreply.github.com>: fix ExponentialMovingAverage documentation so that ExponentialMovingAverage.apply is evaluated within control_dependencies (#12987) --- Commit e6b011763 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extend c++ gradient_checker to complex types. PiperOrigin-RevId: 168392949 --- Commit 4086219a4 authored by Lyndon White<oxinabox@ucc.asn.au> Committed by drpngx<drpngx@users.noreply.github.com>: Correct minor typo in substr docs example (#12991) --- Commit f63aa7f49 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Migrate core TFGAN functions to opensource. PiperOrigin-RevId: 168391923 --- Commit bc6b60f1b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix tuple_losses bug caused by Python bug. PiperOrigin-RevId: 168386341 --- Commit 7a8c63da3 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Migrate `leaky_relu` to `nn_ops.py`. Will be used for TFGAN. PiperOrigin-RevId: 168386268 --- Commit f7ba16fdf authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Do not export from eval on train data steps. PiperOrigin-RevId: 168374021 --- Commit 9b9e54b34 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding NCCL sum op, register all_sum gradient. Streamlining nccl test. PiperOrigin-RevId: 168347428 --- Commit bc300318e authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update gemmlowp hash as the commit history seems to have changed in the repository. PiperOrigin-RevId: 168343607 --- Commit 1e96d54d9 authored by gunan<gunan@google.com> Committed by GitHub<noreply@github.com>: Also accept non-k8 CPU types in build pip package. (#12975) * Also accept non-k8 CPU types in build pip package. Fixes #12735 * Make the script work with `set -e`. --- Commit c0a4c7ffc authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Fix bug in ShapeUtil::ShapeIs that would lead to type inference errors. PiperOrigin-RevId: 168323589 --- Commit 4af9be964 authored by Amy<amy@infosleuth.net> Committed by drpngx<drpngx@users.noreply.github.com>: support passing in a source url to the mnist read_data_sets function, to make it easier to use 'fashion mnist' etc. (#12983) --- Commit 9f848734f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Tweak layer a bit to be eager friendly. PiperOrigin-RevId: 168312865 --- Commit 60f15462b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change conv_input_scale and side_input_scale from attributes to inputs for improved flexibility, in fused_conv2d_bias_activation op. PiperOrigin-RevId: 168311988 --- Commit 4b4e10f9c authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adds dict support of eval metrics. PiperOrigin-RevId: 168310444 --- Commit ab7f22de6 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move FusedConvBiasActivationShape out of common_shape_fns.cc to a lambda inside the op. PiperOrigin-RevId: 168300911 --- Commit 3a98035fa authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Augment metadata output with source-line info, as before. PiperOrigin-RevId: 168292527 --- Commit 349188152 authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Enable fused batch norm, which is 15-20% faster for training and inference. PiperOrigin-RevId: 168288154 --- Commit 08587d45b authored by Yuefeng Zhou<yuefengz@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added back persistent memory tracking in queue op. The new tracking logic has avoided the crash in previous implementation: the queue_ passed to CreateTypedQueue may be unreffed if the resource is already created by another resource op that shares the same resource name and type. PiperOrigin-RevId: 168284509 --- Commit 733063d55 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Fixing awkward wording. --- Commit c7ad6bfef authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Removing accidental hash. --- Commit 53dbc761a authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Adding Windows self check script to docs. --- Commit ed1135994 authored by Andrew Harp<andrewharp@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add -latomic flag to benchmark_model target to fix Android x86 build. PiperOrigin-RevId: 168281337 --- Commit c0348bb55 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update tf_export.py to take constant name as an argument instead of a constant. PiperOrigin-RevId: 168280613 --- Commit c3d19e40a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Cleanup training_ops to reduce code redudancy. PiperOrigin-RevId: 168280069 --- Commit 123fb01ee authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Set fused=False for batch norm, because the test assumes no bessel's correction. Fused=True would add bessel's correction to variance. PiperOrigin-RevId: 168274392 --- Commit f0e8c545e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Switch resource variables from copy-on-read to copy-on-write. RELNOTES: Change the signature of (C++) GetInputTensorFromVariable in training_op_helpers to support new copy-on-write semenatics of resource variables. PiperOrigin-RevId: 168273249 --- Commit 495cc8e47 authored by Yuan (Terry) Tang<terrytangyuan@users.noreply.github.com> Committed by drpngx<drpngx@users.noreply.github.com>: Minor wording change in timeseries module's README (#12938) * Minor wording change in timeseries module's README * Address comments --- Commit f13b876ed authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Making the default build from source version 1.4.0dev. The whl files that are built will be 1.3.0devDDMMYYYY. --- Commit 2356c0ff4 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Delete ScopedTFStatus to avoid leaking it for long running trainers(1+day). PiperOrigin-RevId: 168259652 --- Commit e15f4cae2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Don't remove all aliases from linalg namespace. Get rid of redundant aliases. PiperOrigin-RevId: 168257658 --- Commit c58082642 authored by postBG<profile2697@gmail.com> Committed by drpngx<drpngx@users.noreply.github.com>: Fix minor typo in Programmers guide (#12965) * Fix minor typo in Programmers guide * change to "this" --- Commit 509372c2e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a lot of operations' flops calculations PiperOrigin-RevId: 168256746 --- Commit 80ed8afc0 authored by Francois Chollet<fchollet@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add Flatten to core layers. PiperOrigin-RevId: 168254118 --- Commit a6223c01a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix locking of variables in SparseProximalGradientDescent, AdagradDA, SparseAdagradDA. PiperOrigin-RevId: 168252530 --- Commit abde00830 authored by Olivia Nordquist<nolivia@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: adding InputTensor class for symmetry with OutputTensor PiperOrigin-RevId: 168250085 --- Commit 0451032ca authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Fix variable naming style guide violation. PiperOrigin-RevId: 168245542 --- Commit a202a5a94 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 168245371 --- Commit f93e354cb authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] Switch backend Dataset representation to DT_VARIANT. This change introduces a new `DatasetWrapper` type that wraps a `DatasetBase*` and can be stored in a DT_VARIANT tensor. All Dataset ops now consume and produce DT_VARIANT instead of DT_RESOURCE, and the underlying implementation is simplified because the `DatasetWrapper` can be passed directly by value without using the `ResourceMgr`. PiperOrigin-RevId: 168240571 --- Commit a4042cd2a authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Introduces the placeholder for _TrainingExecutor, which serves the implementation of tf.estimator.train_and_evaluate. PiperOrigin-RevId: 168240151 --- Commit 10ba148f7 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Switch control_flow_ops library to use Resource variants of Stack operators, instead of deprecated Ref variants. PiperOrigin-RevId: 168234822 --- Commit ca43fe82b authored by Ali Yahya<alive@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TFE: Improves the interfaces of tape.watch_variable() and implicit_grad(). tape.watch_variable() replaces tape.watch() and now is called on ResourceVariable objects instead of their underlying handles. implicit_grad() now returns a list of (gradient, variable) pairs to be consistent with tf.Optimizer's interface. PiperOrigin-RevId: 168232055 --- Commit b72862dfc authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: internal change PiperOrigin-RevId: 168225993 --- Commit da3280f4d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Re-enable tsan for sdca_estimator_test. PiperOrigin-RevId: 168186374 --- Commit c936c1155 authored by Yifei Feng<yifeif@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix pip tests for contrib/gan. - Add *_impl.py so tests can still access removed symbols. - Add /python directory layer to make *_impy.py and __init__.py not in the same dir. PiperOrigin-RevId: 168161722 --- Commit ce9a2b00f authored by Toby Boyd<tobyboyd@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Performance guide update PiperOrigin-RevId: 168159289 --- Commit 3bce4f9a0 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TFE: expose tfe.num_gpus() PiperOrigin-RevId: 168154345 --- Commit 67a7cbc28 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Changed the default eval throttle secs from 2 min to 10 mins. PiperOrigin-RevId: 168120323 --- Commit 92bed178f authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Reduce cmake log mess. * Echo off for the .bat scripts. * TF cmake: disable warnings in some of the patched projects (gif,jpeg,lmdb). PiperOrigin-RevId: 168119914 --- Commit 702d59582 authored by joshkyh<joshkyh@users.noreply.github.com> Committed by Yifei Feng<fengyifei2026@gmail.com>: Corrected hyperlink for audio training tutorial (#12923) --- Commit 877c9deca authored by Frank Chen<frankchn@gmail.com> Committed by Yifei Feng<fengyifei2026@gmail.com>: Reverse change eb75ded6 so that internal tests will pass. (#12933) As support for int64 global steps is not ready in TPUs, I am reversing this change so that our internal performance and regression tests will pass. --- Commit 665966438 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Re-enable grpc_session_test. PiperOrigin-RevId: 168078694 --- Commit 405def792 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Switch CallInliner to use CallGraph::VisitNodes. PiperOrigin-RevId: 168078645 --- Commit aba3466f1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Exposes Head and factory methods in tf.contrib.estimator. PiperOrigin-RevId: 168071246 --- Commit b76565b39 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Some profiler fixes and cleanup. PiperOrigin-RevId: 168069346 --- Commit 32ffc5a81 authored by Jonas<sauercrowd@users.noreply.github.com> Committed by Yifei Feng<fengyifei2026@gmail.com>: Just a dot in order to be consistent (#12919) added a dot to the `7` to make clear it's a float (like every other number) --- Commit 0753b0c79 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Scope the scalar cache in the context. PiperOrigin-RevId: 168065417 --- Commit 48deb206b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Migrate TFGAN features to third_party. PiperOrigin-RevId: 168060880 --- Commit d2ae1311f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixing an issue in the BUILD file of the LSH ops. PiperOrigin-RevId: 168056645 --- Commit 2f440eda4 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expose NumpyReader for reading timeseries data. PiperOrigin-RevId: 168055838 --- Commit be1916ce7 authored by Daniel Grazian<dgr@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added functionality to allow `SqlDataset` to interpret a database column as various numeric types, including several integer types and `dtypes.float64`. PiperOrigin-RevId: 168055827 --- Commit fa2000a0b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Supporting nightly windows pip packages. PiperOrigin-RevId: 168054959 --- Commit a263ea626 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Treat eager tensors as constants during graph construction. Unless capturing is explicitly enabled. PiperOrigin-RevId: 168052675 --- Commit 6e402d0d2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make TODO a bit more specific. PiperOrigin-RevId: 168051381 --- Commit c779384bc authored by Daniel Grazian<dgr@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added code example to the doc string for `SqlDataset`. PiperOrigin-RevId: 168049037 --- Commit ff6dd474a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use self._in_graph_mode consistently in ResourceVariable instead of sometimes getting it from the context. Also: fix formatting of a comment and use a more precise test to detect if initial_value is set. PiperOrigin-RevId: 168047258 --- Commit f331f528b authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Removes "fast paths" which are not fast in eager mode. PiperOrigin-RevId: 168046278 --- Commit 86f1713e5 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Introduces TrainSpec and EvalSpec. PiperOrigin-RevId: 168040435 --- Commit c8b9e92f0 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Move "register_function" to context.py This will allow function registration from other modules without having to import "function.py". (And besides, the function really does belong on the context). PiperOrigin-RevId: 168040411 --- Commit 74137f994 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix signed int overflow issue in tensor_id.cc When a node name has a long numeric suffix, e.g., "foo/y_0/gradient_debug_09684b60f2184c67b744721915034528" (as has happened with tfdbg GradientsDebugger), the parsing algorithm in ParseTensorName() may experience signed int overflow. Replacing the types with "unsigned int" resolves the issue. PiperOrigin-RevId: 168039195 --- Commit 450c3b562 authored by Rohan Jain<rohanj@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Using rendezvous manager to pass args / rets between devices during function remote execution. This enables CPU->GPU remote device executions now. PiperOrigin-RevId: 168038285 --- Commit 82cc6529f authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixes the wording about StopIteration. PiperOrigin-RevId: 168034451 --- Commit fb5588002 authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a statement on install/index.md on what os are supported. PiperOrigin-RevId: 168032996 --- Commit f83f6b9ef authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Handle higher-order HLOs (e.g. While) in CallInliner and test. PiperOrigin-RevId: 168029345 --- Commit 8988ae365 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 167916124 PiperOrigin-RevId: 168916710
* Use the numeric gradient checker for matrix gradient tests.Gravatar A. Unique TensorFlower2017-09-13
| | | | | | | - Port MathGradTest to use ComputeGradientError. - Add complex type support for MatMulGrad and BatchMatMulGrad. PiperOrigin-RevId: 168638169
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-03 11:42:29 +0000