| 7a5d775685c7c853a0d3dc5118016ae30e43f7a2 |
|
10-Feb-2018 |
Kay Zhu <kayzhu@google.com> |
[XLA] Implement GeneralDot semantics in HloEvaluator.
Also:
- add a general matmul test, enable interpreter to run dot_operation_test.
- remove now redundant/obselete CHECKS for HandleDot in HloEvaluator.
- improve documentation for DotGeneral a bit.
PiperOrigin-RevId: 185211512
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 5eccb29930deeccd7199a79539f3c60e3769db30 |
|
15-Dec-2017 |
Sanjoy Das <sanjoy@google.com> |
[XLA] Change some dot test cases to be parametric
- Use a generator instead of manually writing out all the test configurations
- Call the tests MatrixDotF32_12_117_7_MajorToMinorFF etc. instead of
MatrixDotF32_12_117_7_MinorToMajorFF. I think this is the correct naming
scheme since the T/F denotes whether an operand's dimensions are laid out as
major to minor or not. If this is correct, names like
SquareMatrixDotF32MinorToMajorTF are also incorrect and I'll fix those in a
separate CL.
- Remove a couple of unnecessary vector-matrix product tests -- we don't need
to test with different layouts since the layouts are only used for the
GlobalData literals that are passed in as arguments to the computation, and
not for the operations in the computation itself. I suspect this is
accidental though -- we probably should be changing the layouts of the
computations as well?
PiperOrigin-RevId: 179122732
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| b3e97d56bd10bdf1976c61aab1f50a8902068c5c |
|
14-Dec-2017 |
Sanjoy Das <sanjoy@google.com> |
[XLA:CPU] Implement Ax+b dot output fusion for Matrix-vector products
I had to roll in the change to generalize CPU layout assignment as without it we
lose the make-rhs-column-major optimization and that causes a performance
regression.
PiperOrigin-RevId: 178970986
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 379d59d01e4419aadf9103338315624eadfd9f81 |
|
12-Dec-2017 |
Sanjoy Das <sanjoy@google.com> |
[XLA] Optimize dot(concat(..), constant)
dot(concat(..), constant) and dot(constant, concat(..)) can be rewritten to
avoid the concatenate. This can itself be a win, but can also help unlock other
optimization opportunities.
PiperOrigin-RevId: 178691585
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| dd77f385591c8b6ef7ab8dae7429c7eff7813a1e |
|
11-Dec-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Move BatchDot unrolling from TF2XLA bridge to AlgebraicSimplifier so that unrolling can be selectively enabled/disabled per backend (should be no performance change).
PiperOrigin-RevId: 178666990
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 0683cdbd8701e4e6a582db1e71d58fcad628e070 |
|
11-Dec-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Enriching some C64 test coverage.
PiperOrigin-RevId: 178624364
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 4146ff1259c0b4ada8afbbad11a7b37d8373d1b9 |
|
30-Nov-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Adds Dot with DotDimensionNumbers proto for specifying arbitrary contracting and batch dimensions.
PiperOrigin-RevId: 177481231
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 58f7858601b72aa3c5854571f2152b91d1795e29 |
|
13-Nov-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[TF:XLA] Adding test coverage for more C64 operations, and ensuring they pass.
Included here:
- reduction ops (reduce_sum, reduce_prod)
- unaries: tanh, sigmoid (currently GPU only)
- binaries: pow (currently GPU only)
PiperOrigin-RevId: 175562417
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 64d2636e2946772d4b1531ec91b389110a2787b7 |
|
09-Nov-2017 |
Mark Heffernan <meheff@google.com> |
Move MakeFakeLiteral from client/lib/testing.h to tests/test_utils.h. Also remove superfluous literal creation methods in that file, and replace them with the existing ones in the Literal class.
Also, optionally print layout in Literal::ToString.
PiperOrigin-RevId: 175076277
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 76967158085d50b53d29901c140fea69b3cf15af |
|
08-Nov-2017 |
Sanjoy Das <sanjoy@google.com> |
[XLA:CPU] Implement single threaded Matrix-Vector products in LLVM IR
Right now we're always doing a 8x8 tiling on the matrix. This can probably be
tuned further.
There are some other follow-up items that I did not want to put in this already
large CL:
- Eigen has some smarts to avoid issuing unaligned vector loads and stores
which the current CL does not. We need to investigate if being smart about
alignment is worth it.
- Prevent LLVM from vectorizing the epilogue. In fact we should disable loop
vectorization for all the loops we've explicitly vectorized.
- Cache the kernels by their shape to reduce code size impact.
- Add aliasing information to the loads and stores emitted by the
PacketSupportLibrary. This is probably not super critical since we've
already vectorized the code, but we should do this for completeness.
PiperOrigin-RevId: 175036991
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 4198e27be8115585ad6b5b141383fb7dc7856c24 |
|
27-Oct-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA:CPU] [XLA:GPU] Adds compiler support for C64 primitive type, including 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
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 6498f6011bf8a7f62fb4f51bcdff659eba278f35 |
|
15-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Implement dot fusion on the CPU backend for some simple cases.
PiperOrigin-RevId: 165245157
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| ddd8e21b7c1d23bf80ddf0141b44e168c17647f3 |
|
27-Jul-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Consolidate all similar main()s in tests into a single target.
PiperOrigin-RevId: 163354724
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| ae0207d3820308d882253c85fe58494b818f254d |
|
21-Jul-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Remove the xla_default_layout flag.
The default layout is just major-to-minor, as we don't have sufficient testing
for alternative default layouts.
PiperOrigin-RevId: 162766231
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 50b999a8336d19400ab75aea66fe46eca2f5fe0b |
|
28-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
PiperOrigin-RevId: 160344052
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 1fa73c53ab95693f070ce70e6be0c644d83c163a |
|
26-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Automated g4 rollback of changelist 160182040
PiperOrigin-RevId: 160190881
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| f3c89936e97c99dead1ca3310246691c1b221adf |
|
26-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
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
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| cfe28e09f36e54d55d08e666392d19c5c46c67db |
|
23-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Remove unused xla_cpu flag and move another to DebugOptions.
PiperOrigin-RevId: 159952124
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| eb00d1d98efe06de98afceac83b8e88cb63b8c20 |
|
22-Jun-2017 |
Eli Bendersky <eliben@google.com> |
Automated g4 rollback of changelist 159746509
PiperOrigin-RevId: 159763112
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| f787d718967b3586561287a1506aec03e614d8dd |
|
21-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Remove xla_cpu_*_eigen flags from CPU backends.
These flags are currently de-facto unused; parallelism should be controlled
through the cpu_parallel backend. For configuring Eigen, if needed, the options
should be piped more directly to the code.
PiperOrigin-RevId: 159746509
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 46737e4e81314f7482bfd6a710f126a27f5d7975 |
|
19-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Remove class xla::LiteralUtil. NFC (mind-numbingly so).
This patch removes class xla::LiteralUtil and rewrites every call to use class
xla::Literal instead.
PiperOrigin-RevId: 159446373
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| c77399d44fc2ed6912e7f301839ad3e404739b80 |
|
14-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Remove remaining flags from cpu_compiler_flags
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
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 8cedce4b806639c351d45a00324fcc269704f42b |
|
12-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Replace some XLA CPU compiler specific options by generic "debug options".
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
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 45dbb0a02d2fa5b1eb20836fe854e19842b9593f |
|
24-Mar-2017 |
Blake Hechtman <blakehechtman@google.com> |
Strength reduce Dot into broadcasting multiply and reduce. Also optimizes
transposes and reshapes that feed reductions.
Change: 151162327
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 0a374c7182fb8f0970f3dbf13db9e6f8c5464c00 |
|
14-Mar-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add matmul large array tests.
Change: 150099362
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 0faa2a46260dbe0960674db4ecfe6fceed7e6a08 |
|
20-Jan-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] TODO(b/n) rather than TODO(user), NFC
Change: 145107436
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|
| 1e67c90e2caceeff82d09793d1ef5fa0300d219b |
|
09-Jan-2017 |
Peter Hawkins <phawkins@google.com> |
Initial open-source release of XLA: Accelerated Linear Algebra.
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
/external/tensorflow/tensorflow/compiler/xla/tests/dot_operation_test.cc
|