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* [XLA] Add documentation and HLO-level support for multi-value sort.Gravatar Michael Kuperstein2018-10-09
| | | | | | No support in any of the backends, and not yet exposed through XlaBuilder. PiperOrigin-RevId: 216465753
* [XLA] Make kConvolution, kDot HLO attributes mandatoryGravatar David Majnemer2018-09-04
| | | | | | | | HLO transformations would forget to propagate the feature depth attribute. Making these attributes mandatory, while slightly less convenient for tests, makes HLO transformations more robust. PiperOrigin-RevId: 211490160
* Change headers to directly include absl::Span, and clean up the buildGravatar Tim Shen2018-08-30
| | | | | | dependencies as well. PiperOrigin-RevId: 211038094
* [XLA] Rename all (Mutable)ArraySlice to absl::Span.Gravatar Tim Shen2018-08-30
| | | | PiperOrigin-RevId: 210998142
* Improve gather ergonomics by renaming fields.Gravatar Sanjoy Das2018-08-16
| | | | | | | | | | | | | This CL renames the various inputs to the Gather HLO to be more mnemonic by making it more obviously a batch dynamic-slice. The replacements I made are: s/elided_window_dims/collapsed_slice_dims/g s/window_bounds/slice_sizes/g s/gather_dims_to_operand_dims/start_index_map/g s/gather_indices/start_indices/g s/output_window_dims/offset_dims/g PiperOrigin-RevId: 209051067
* [XLA] Introduce variadic version of reduce.Gravatar Michael Kuperstein2018-08-02
| | | | | | This defines the semantics, and adds parser and shape inference support. Since support is not plumbed through the rest of the compiler here, multi-output reduce is still rejected by the HLO verifier, and is not exposed through XlaBuilder. PiperOrigin-RevId: 207148035
* [XLA] Add Scatter HLO.Gravatar A. Unique TensorFlower2018-08-01
| | | | PiperOrigin-RevId: 207045468
* [XLA] Shape inference should verify the shapes of sort keys and sort values ↵Gravatar Michael Kuperstein2018-07-17
| | | | | | match. PiperOrigin-RevId: 204974328
* [XLA] Split out HloGatherInstruction as subclass from HloInstruction.Gravatar A. Unique TensorFlower2018-07-12
| | | | PiperOrigin-RevId: 204421652
* Fix assumptions that a Shape must be a tuple or an array.Gravatar Mark Heffernan2018-06-13
| | | | | | | | | | | | A TOKEN primitive type was added with cl/199215963 and XLA also has an OPAQUE primitive type. However, in many places in XLA we assume either a tuple or array. This CL fixes many of those instances, but some may remain. Identified instances were discovered by searching for IsTuple or IsArray so the set of fixes is not exhaustive. Also opportunistically addressed a couple potential points of confusion in the ShapeUtil interface: (1) Rename ShapeUtil::HasZeroElements to ShapeUtil::IsZeroElementArray. The point of confusion here is that tuples can also have zero elements and HasZeroElements would check fail on tuple shapes. Method no longer check fails if the given shape is not an array. (2) ShapeUtil::IsNil now returns true only for empty tuples. Previously it also returned true for zero-element array types which was confusing because ShapeUtil::MakeNil creates an empty tuple. PiperOrigin-RevId: 200452672
* Cleanup shape_inference.Gravatar A. Unique TensorFlower2018-06-08
| | | | PiperOrigin-RevId: 199876297
* Make shape inference error messages more consistent.Gravatar Eli Bendersky2018-03-02
| | | | PiperOrigin-RevId: 187662562
* Generalize the gather_indices dimension that stores indicesGravatar Sanjoy Das2018-02-26
| | | | | | | | | This is now exposed as a index_vector_dim dimension number. Also fixed an off-by-one error in ValidateGatherDimensionNumbers in the expression computing output_shape_rank. PiperOrigin-RevId: 187040748
* [XLA] Add some plumbing, documentation, verification and shape inference for ↵Gravatar Sanjoy Das2018-02-16
| | | | | | | | | | | | | Gather Pretty much everything other than HLO verification and shape inference will fail for Gather with Unimplemented. Note that this CL is intentionally incomplete -- I figured it would be nicer to get some of the boiler-platey stuff out of the way early. Let me know if you want me to send in a larger but more complete CL instead. PiperOrigin-RevId: 186055521
* [XLA] Improve error message for bad slices.Gravatar Chris Leary2018-01-26
| | | | PiperOrigin-RevId: 183420038
* [XLA] Move BatchDot unrolling from TF2XLA bridge to AlgebraicSimplifier so ↵Gravatar A. Unique TensorFlower2017-12-11
| | | | | | that unrolling can be selectively enabled/disabled per backend (should be no performance change). PiperOrigin-RevId: 178666990
* [XLA] Implement Conditional in XLA service, client ComputationBuilder, and ↵Gravatar A. Unique TensorFlower2017-12-07
| | | | | | CPU backend. PiperOrigin-RevId: 178322445
* [XLA] Adds Dot with DotDimensionNumbers proto for specifying arbitrary ↵Gravatar A. Unique TensorFlower2017-11-30
| | | | | | contracting and batch dimensions. PiperOrigin-RevId: 177481231
* [XLA] Separate input and output spatial dimensions for convolutionGravatar David Majnemer2017-11-27
| | | | | | This lets us reason about input spatial dimensions as distinct from output spatial dimensions. By doing this, it opens up more opportunities for assigning more interesting, different, layouts for the activations and the output. PiperOrigin-RevId: 177117140
* [XLA:CPU] [XLA:GPU] Adds compiler support for C64 primitive type, including ↵Gravatar A. Unique TensorFlower2017-10-27
| | | | | | | | | | relevant elementwise unary and binary op lowering for CPU and GPU. We use a named LLVM struct "complex64", laid out the same as std::complex<float>. This named struct is accessed via the llvm::Module, which required changes to accessors of PrimitiveTypeToIrType & friends. Ops that require atan2 (in particular, angle and log) are only supported on GPU at this point. LLVM lacks a CPU intrinsic for atan or atan2, whereas libdevice provides this for GPU. PiperOrigin-RevId: 173676849
* Automated g4 rollback of changelist 170358888Gravatar David Majnemer2017-10-12
| | | | PiperOrigin-RevId: 171982861
* Automated g4 rollback of changelist 170130811Gravatar David Majnemer2017-09-28
| | | | PiperOrigin-RevId: 170358888
* [XLA] Split input and output in ConvolutionDimensionNumbersGravatar David Majnemer2017-09-26
| | | | | | | This allows for additional freedom when reasoning and transforming the input and output of convolutions. PiperOrigin-RevId: 170130811
* [XLA] Map API change to enable mapping over an arbitrary set of dimensions.Gravatar A. Unique TensorFlower2017-09-26
| | | | PiperOrigin-RevId: 170090055
* Merge changes from github.Gravatar A. Unique TensorFlower2017-06-27
| | | | PiperOrigin-RevId: 160344052
* Automated g4 rollback of changelist 160182040Gravatar A. Unique TensorFlower2017-06-26
| | | | PiperOrigin-RevId: 160190881
* Merge changes from github.Gravatar A. Unique TensorFlower2017-06-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC Note: this CL will break builds. cl/159887762 to follow to fix all the breakages. --- Commit 2336cdf7f authored by Maxwell Paul Brickner<mbrickn@users.noreply.github.com> Committed by gunan<gunan@google.com>: Updated link to use HTTPS (#10998) Howdy! I just updated a link to use https instead of http. Thanks! --- Commit ad0892df1 authored by Luke Iwanski<luke@codeplay.com> Committed by Luke Iwanski<luke@codeplay.com>: [OpenCL] Fixes run_metadata_test for SYCL This test is designed to test CUDA specific behavior --- Commit 6b37a0725 authored by Todd Wang<toddwang@gmail.com> Committed by GitHub<noreply@github.com>: Update comments --- Commit 1699d904a authored by John Lawson<john@codeplay.com> Committed by Luke Iwanski<luke@codeplay.com>: [OpenCL] Fixes CUDA specific test run on SYCL (#56) The testBadParentValuesOnGPU should only be run on CUDA devices, as the test checks for particular CUDA behaviour. We don't actually provide a SYCL kernel for GatherTree and so it's not a problem that the tests don't target SYCL. --- Commit 3c1946230 authored by myPrecious<Moriadry@users.noreply.github.com> Committed by Shanqing Cai<cais@google.com>: Java API to get the size of specified input list of operations. (#10865) * Java API to get the size of specified input list of operations * remove unnecessary explain to avoid bring a new term to users. --- Commit e911c7480 authored by Luke Iwanski<luke@codeplay.com> Committed by Luke Iwanski<luke@codeplay.com>: [OpenCL] REGISTER -> REGISTER6 --- Commit fbf6c4cec authored by superryanguo<superryanguo@gmail.com> Committed by superryanguo<superryanguo@gmail.com>: Simplify the Quickstart section with the weblink is better --- Commit 72e2918cc authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit 90c4406b7 authored by Rishabh Patel<patelrishabh@users.noreply.github.com> Committed by GitHub<noreply@github.com>: Correct the learning rate as per the code snippet --- Commit 03da61134 authored by Todd Wang<toddwang@gmail.com> Committed by GitHub<noreply@github.com>: Update ir_array.cc --- Commit 2df6cd3ac authored by Todd Wang<toddwang@gmail.com> Committed by GitHub<noreply@github.com>: Another try --- Commit af0cbace1 authored by Luke Iwanski<luke@codeplay.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [OpenCL] Transpose to go through Eigen (#10321) --- Commit fc7361081 authored by Luke Iwanski<luke@codeplay.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [OpenCL] Registers RGBToHSV and HSVToRGB (#91) (#10848) * [OpenCL] Added RGBToHSV and HSVToRGB * Aligning '\' --- Commit 832894ef8 authored by Luke Iwanski<luke@codeplay.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [OpenCL] Registers AdjustContrastv2 (#10949) * [OpenCL] Registers AdjustContrastv2 (#93) * [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL (#96) * [OpenCL] Extended adjust_contrast_op_benchmark_test for OpenCL * simplified to #ifndef * Changed to "#if GOOGLE_CUDA" * Update adjust_contrast_op_benchmark_test.cc * Added comments --- Commit cb4c2f8d1 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Make TransferBufferToInFeed not virual so it compiles. --- Commit e89f04d80 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Fix calling Literal member functions. --- Commit 15a8df724 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Fix mac build clone from meheff's change: [XLA] Change return type of DeviceAssignment::Deserialize to fix build breakage on mac. The mac build had the following error: error: incomplete type 'xla::DeviceAssignment' used in type trait expression This was due to a static method returning a StatusOr<DeviceAssignment> inside of the definition of DeviceAssignment. --- Commit a54d43fa4 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Replace LiteralUtil to Literal in compiler/plugin/executor --- Commit 88a6bb80c authored by Guenther Schmuelling<guschmue@microsoft.com> Committed by Guenther Schmuelling<guschmue@microsoft.com>: expand inline for debug builds to limit number of symbols --- Commit 62fb49d31 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Fix visibility error for contrib/remote_fused_graph/pylib/BUILD. --- Commit 4c75252f2 authored by Mark Neumann<markn@allenai.org> Committed by Mark Neumann<markn@allenai.org>: fix initial test values to avoid numerical instability --- Commit b58d98353 authored by sj6077<epik03sj@gmail.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Fixes of AutoParallel bug (#10368) * Fix the bug that auto_parallel could replicate variable snapshot name * Use NodeName in grappler:utils instead of substr, convert variables->variable_def of grappler item * remove variable_def from grappler item, exclude snapshot nodes from dont_replicate_nodes in auto_parallel --- Commit a286b7db8 authored by Yifei Feng<yifeif@google.com> Committed by Yifei Feng<yifeif@google.com>: Make debug_test slice integer. --- Commit 97fcfdfa6 authored by Toby Boyd<tobyboyd@google.com> Committed by GitHub<noreply@github.com>: Fixed path to seq2seq.py and minor formatting --- Commit 63c1befb8 authored by Anish Shah<shah.anish07@gmail.com> Committed by Anish Shah<shah.anish07@gmail.com>: Improve docs for tf.nn.depthwise_conv2d_native --- Commit 8d42202b2 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Yong Tang<yong.tang.github@outlook.com>: Fix mismatched delete in mkl_tfconv_op.cc This fix fixes mismatched new[]-delete in mkl_tfconv_op.cc (the file went through clang-format so there are some additional changes) Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 26301bd55 authored by Danny Goodman<goodman.danny@gmail.com> Committed by Danny Goodman<goodman.danny@gmail.com>: fix error format --- Commit b3f33ad46 authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make changes to prepare for the fused option of batch norm to be set to None (None means using fused batch norm if possible). PiperOrigin-RevId: 159649743 --- Commit a4a469832 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add tests for select ops and while loops that produce tuples that contain predicates. PiperOrigin-RevId: 159645900 --- Commit 980d3f2be authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use C API to implement Operation.name property This name property is used in many existing tests including those that already run with C API enabled (math_ops_test, framework_ops_test, session_test, session_partial_run_test, math_ops_test_gpu, etc). PiperOrigin-RevId: 159645767 --- Commit 26239c706 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Previously we didn't have an implementation of BatchNormInference and BatchNormTraining, which gives a linker error if anyone ever tries to call that. A dummy implementation is friendlier than a linker error. PiperOrigin-RevId: 159645612 --- Commit f671c5caa authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 159570549 PiperOrigin-RevId: 160182040
* Simplified XLA tests by using gmock matchers.Gravatar A. Unique TensorFlower2017-04-12
| | | | Change: 152954991
* Using GMock matchers in XLA tests.Gravatar A. Unique TensorFlower2017-04-11
| | | | Change: 152823724
* [XLA:HLO] Minor fix for Clamp shape inference, and add some tests.Gravatar A. Unique TensorFlower2017-03-31
| | | | | | Previously Clamp(f32[5], f32[], f32[9]) returned success, but it now returns a failure. Noticed while debugging a different problem. Change: 151835981
* [XLA] Use `ShapeUtil::PermuteDimensions` in ↵Gravatar A. Unique TensorFlower2017-01-11
| | | | | | `ShapeInference::InferTransposeShape` Change: 144282152
* Initial open-source release of XLA: Accelerated Linear Algebra.Gravatar Peter Hawkins2017-01-09
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
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