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* [XLA] Consolidate all similar main()s in tests into a single target.Gravatar Eli Bendersky2017-07-27
| | | | PiperOrigin-RevId: 163354724
* CPU IR Emitter: Lower slice operations with memcpy.Gravatar A. Unique TensorFlower2017-07-20
| | | | | | | | | | | | | | | This changes the way the CPU backend emits slice operations so that the maximal contiguous blocks get copied with memcpy. Without this change, LLVM's optimizers prefer to unroll the elementwise loops emitted for doing slice. This leads to increased code size. With this change, the inliner only inlines the memcpy when it is small enough. This change also adds a test that exercises the logic to find maximal contiguous blocks. PiperOrigin-RevId: 162674439
* Restore previous IrEmitter::HandleSlice() behavior.Gravatar A. Unique TensorFlower2017-07-17
| | | | | | | | | END_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 162249449 PiperOrigin-RevId: 162276286
* CPU IR Emitter: Lower slice operations with memcpy.Gravatar A. Unique TensorFlower2017-07-17
| | | | | | | | | | | | | | | This changes the way the CPU backend emits slice operations so that the maximal contiguous blocks get copied with memcpy. Without this change, LLVM's optimizers prefer to unroll the elementwise loops emitted for doing slice. This leads to increased code size. With this change, the inliner only inlines the memcpy when it is small enough. This change also adds a test that exercises the logic to find maximal contiguous blocks. PiperOrigin-RevId: 162249449
* slice_test: Add a few tests for strided slices andGravatar A. Unique TensorFlower2017-07-14
| | | | | | | | | | consolidate R1 tests. * Fix SliceUnaligned1024In4096Values, which was using unitialized data. * Also fix SliceR2Test to respect the layout parameter. PiperOrigin-RevId: 161991313
* Change ReferenceUtil::Slice{2,3,4}D to accept a strides parameter.Gravatar A. Unique TensorFlower2017-07-13
| | | | | | | | | This also fixes their ordering in xla/reference_util.h This also adds a few stride tests to reference_util_test and adds LiteralTestUtil::ExpectR4Near(). PiperOrigin-RevId: 161876759
* 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
* [XLA] Remove remaining flags from cpu_compiler_flagsGravatar Eli Bendersky2017-06-14
| | | | | | | | And move them to debug_options_flags; these two flags (embed_ir_in_executable, dump_debug_json_to) are also unified with similarly named GPU compiler flags. This lets us completely remove the cpu_compiler_flags module. PiperOrigin-RevId: 158989621
* [XLA] Replace some XLA CPU compiler specific options by generic "debug options".Gravatar Eli Bendersky2017-06-12
| | | | | | | | LLVM optimization level, extra LLVM flags and "cpu parallel" all turn into debug options on the xla proto. "cpu parallel" is combined with "backend extra options" as a map. PiperOrigin-RevId: 158751784
* Preallocate vector storage when the ultimate vector size is known in advanceGravatar A. Unique TensorFlower2017-06-01
| | | | PiperOrigin-RevId: 157724431
* 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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