| 802080ac2a529598df484f54058cd75023ff3f8c |
|
07-Feb-2018 |
Sanjoy Das <sanjoy@google.com> |
[XLA] Use HloVerifiedTestBase in AlgebraicSimplifierTest
And fix the fallout. Thanks to asbirlea@ for noticing this!
PiperOrigin-RevId: 184796949
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| a58524fa602829459aa7eb0335a33afe1f28382a |
|
19-Jan-2018 |
Chris Leary <leary@google.com> |
[XLA] Simplify trivial pad/reduce-window combos into broadcasts.
PiperOrigin-RevId: 182585236
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 0ea9532c29d230c4407a04ffbf0ed79b5e182be6 |
|
22-Dec-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Transform division-by-fp-constant to multiplication by its inverse.
Backends can do this transformation, but in general they won't if the
divisor is not a constant. In addition, this formulation allows more
aggressive fusion.
PiperOrigin-RevId: 179869591
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 1279bb10b9bd76f15637074c6518a3464916e007 |
|
20-Dec-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Add reassociation rule for adds, and add canonicalization rules for add/sub of a constant.
This patch adds a new algebraic simplification:
* (A + C0) + C1 => A + (C0 + C1), where C0 and C1 are constants. This
allows us to constant-fold C0 + C1.
In service of this rule, this patch also adds two new canonicalizations:
* Const + A => A + Const
* A - Const => A + (-1 * Const)
PiperOrigin-RevId: 179731747
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| f22377476786927752a5e633a674bbcd8b346ee7 |
|
20-Dec-2017 |
Blake Hechtman <blakehechtman@google.com> |
[XLA] Turn pad and reduce window of zero sized inputs into a broadcast.
PiperOrigin-RevId: 179608875
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 08edd95ff158964d351925dcdb5e0b44d9c5a420 |
|
19-Dec-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Rename "MonotonicDim0MajorLayout" to "DescendingLayout".
This is shorter, and hopefully less confusing.
As a result, we rename NormalizeShapeToMonotonicDim0MajorLayout to the
more descriptive MakeShapeWithDescendingLayoutAndSamePhysicalLayout,
and rename MakeShapewithMonotonicDim0MajorLayout to
MakeShapeWithDescendingLayout.
We also beef up the comments on the first function.
PiperOrigin-RevId: 179608145
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| fb81f1927924c1e3d82a2673c04f8918004cca9e |
|
19-Dec-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Add pow(pow(A, X), Y) => pow(A, X*Y) simplification.
PiperOrigin-RevId: 179487434
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_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/service/algebraic_simplifier_test.cc
|
| 408029937b559300eb79168e9bd584d6d6c7c80c |
|
11-Dec-2017 |
Blake Hechtman <blakehechtman@google.com> |
[XLA] Improve dot strength reductions to support transposes of the right and
left hand side of a dot.
PiperOrigin-RevId: 178619673
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_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/service/algebraic_simplifier_test.cc
|
| 102bfdfd830f4dab6e00371e63a82561e1246518 |
|
28-Nov-2017 |
David Majnemer <majnemer@google.com> |
[XLA] Separate input and output spatial dimensions for convolution
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
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| c518d35b9077bd193321f8b66dfb958ce9ab61cd |
|
22-Nov-2017 |
Kay Zhu <kayzhu@google.com> |
[XLA] Enable explicit broadcast for ternary operations.
Also explicitly broadcast constant 1 in algsimp for pow(x, -1) => 1/x transformation, so that:
- we can avoid implicit broadcast which we are trying to eliminate at HLO level.
- interpreter, which does not support implicit broadcast, now passes the PowSpecialF32 test case in array_elementwise_ops_test which generates a divide(1.F32[], param.F[4]) instruction that requires implicit broadcast.
PiperOrigin-RevId: 176582286
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_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/service/algebraic_simplifier_test.cc
|
| d90e886f3fb32bfca26dc334e7996c6850d495be |
|
03-Nov-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Add WhileLoopSimplifier pass.
This is just code motion, moving this logic out of the
AlgebraicSimplifier. In a future patch we'll add additional
functionality.
PiperOrigin-RevId: 174406161
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_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/service/algebraic_simplifier_test.cc
|
| 7efbfc22850394c94785885d3b06cdd71124e5d6 |
|
26-Oct-2017 |
Alina Sbirlea <asbirlea@google.com> |
Fix test:
Call instruction was added to builder instead of call_builder. Triggers the assertion in MakeInstructionPostOrder when dumping out the module.
PiperOrigin-RevId: 173464579
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 805594a4643dda027ff45be7edd2ab94f57a9dec |
|
25-Oct-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Set shape of -C equal to shape of C in A/pow(B,C) -> A*pow(B,-C).
PiperOrigin-RevId: 173414738
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 48eee55b02a542a0a30b918a6a64e8ae7283e01a |
|
12-Oct-2017 |
David Majnemer <majnemer@google.com> |
Automated g4 rollback of changelist 170358888
PiperOrigin-RevId: 171982861
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| d4d5e1510f2404ff1dafaa83171b0dcaec5fdfeb |
|
11-Oct-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Simplify trivial dynamic-slices.
Also make the dynamic-update-slice simplification respect the
is_layout_sensitive_ flag in algebraic-simplifier
While we're here, make the algebraic-simplifier test use the new
HloVerifiedTestBase class.
PiperOrigin-RevId: 171759708
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| e540a893f14d9b0beea9161962694bf7d139caf3 |
|
10-Oct-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Fix setting of changed_ in AlgebraicSimplifier.
Due to this bug, sometimes AlgebraicSimplifier would make a change but
say that it didn't. This would cause us to run the HLO simplification
pipeline fewer times than we should.
PiperOrigin-RevId: 171735154
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 5baebfc13c66efb3ca7fe008aeca4a836fc76a3d |
|
30-Sep-2017 |
Justin Lebar <jlebar@google.com> |
[XLA:CPU] Remove trivial DynamicUpdateSlices.
A DynamicUpdateSlice where the update shape is the same as the output
shape and the input indices are all 0 is equal to its update.
PiperOrigin-RevId: 170539478
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 8c8c8fb779bcb42944f5854e16decd69c29dcf69 |
|
29-Sep-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Don't attempt to simplify loops that contain non-removable instructions.
PiperOrigin-RevId: 170408060
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 9d2d6cdfce769fee92f2211946855892c5d4ea4e |
|
28-Sep-2017 |
David Majnemer <majnemer@google.com> |
Automated g4 rollback of changelist 170130811
PiperOrigin-RevId: 170358888
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| adbcb1555a142cb78b16d0a174fc8d4e2e987109 |
|
28-Sep-2017 |
Justin Lebar <jlebar@google.com> |
[XLA] Simplify trivial while loops.
If we can statically determine that a loop has a trip count of 0 or 1,
we can simplify it by removing the whole loop or removing the loop
infrastructure, leaving just the body behind.
PiperOrigin-RevId: 170357886
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 0b853efdf0edc7a906a4d08413fa2f1d7f3d9be2 |
|
27-Sep-2017 |
David Majnemer <majnemer@google.com> |
[XLA] Split input and output in ConvolutionDimensionNumbers
This allows for additional freedom when reasoning and transforming the input
and output of convolutions.
PiperOrigin-RevId: 170130811
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 2ad85aa4db2d0d6ea71e53c0fed3c7081847c55c |
|
12-Sep-2017 |
Mark Heffernan <meheff@google.com> |
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
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 11698cc8e157eefe71a60931f1e721ad327e08af |
|
28-Aug-2017 |
Mark Heffernan <meheff@google.com> |
Verify the output shape of HLO instructions in the HloVerifier. This change adds verification for some but not all instruction types. To support this verification, add HLO-level methods to ShapeInference. These methods will also be useful to automatically infer shape in the HloInstruction::Create* methods.
This CL also fixes some tests and transformations with malformed instructions found by the verifier.
PiperOrigin-RevId: 166718979
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 96af8b0b9738fb147b3b3ffe555f952b2f9e8ccf |
|
17-Jul-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Minor cleanup
PiperOrigin-RevId: 162222071
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 87d86dbbf4eadf1f7be414d1192cd5ef72db6026 |
|
06-Jul-2017 |
Peter Hawkins <phawkins@google.com> |
[XLA] Fix crash in algebraic simplifier when sinking a reshape-to-scalar after an elementwise operation.
The test case in the change previously failed with:
algebraic_simplifier.cc:1091] Check failed: user->operand(reshape_or_broadcast_operand_index) == reshape_or_broadcast
PiperOrigin-RevId: 161121259
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| c0f475b03eeca19b217527f7946da837e8438e27 |
|
06-Jul-2017 |
Peter Hawkins <phawkins@google.com> |
[XLA] Add support for tuple constants via a rewrite that replaces constant tuples with tuples of non-tuple constants.
Fix crash in HloInstruction::ToString() for tuple constants.
PiperOrigin-RevId: 161085252
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 0bce3ad96382de0506256b6cbc5dd29a8691bdbf |
|
30-Jun-2017 |
Blake Hechtman <blakehechtman@google.com> |
[XLA] Various algebraic simplifications involving division and exponenentials
PiperOrigin-RevId: 160655974
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 50b999a8336d19400ab75aea66fe46eca2f5fe0b |
|
28-Jun-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Merge changes from github.
PiperOrigin-RevId: 160344052
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_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/service/algebraic_simplifier_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/service/algebraic_simplifier_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/service/algebraic_simplifier_test.cc
|
| fb6cd75eaed4ba594184153e7bfb503319bb2489 |
|
13-Jun-2017 |
Blake Hechtman <blakehechtman@google.com> |
[XLA] Simplify binary concatenates of broacasted scalars into high or low pad
operations.
PiperOrigin-RevId: 158899651
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 9641b8edab3113f5bb83b5491de747dc9a43fe01 |
|
09-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Switch HloTestBase-based tests to use new debug options flag.
PiperOrigin-RevId: 158522608
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
|
| 599727c654aac53ee6f290b3d5e36c0e0852e951 |
|
07-Jun-2017 |
Eli Bendersky <eliben@google.com> |
[XLA] Propagate debug option flags to hlo_test_base.
Specific HLO tests have to replace the generic test_main target with a manual
main() that invokes RUN_ALL_TESTS.
To get access to a module with debug options set up, a new convenience method
is created on HloTestBase.
Initially algebraic_simplifier_test is modified as a canary; in a followup
we'll convert all HLO tests to this approach.
PiperOrigin-RevId: 158309488
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 7aac2395ce92ad9f280a30c0ce110b9fcf494668 |
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31-May-2017 |
Blake Hechtman <blakehechtman@google.com> |
Merge a copies of copies.
PiperOrigin-RevId: 157549434
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 947fc02a3bfc9bbddac37be2a252c9b7f1b3598b |
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11-May-2017 |
Bjarke Hammersholt Roune <broune@google.com> |
Fold Pad into ReduceWindow.
PiperOrigin-RevId: 155705565
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 0774317eedf667d74110bb639eb4dfe46ee8cc5d |
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02-May-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Refactor constant folding operations into a dedicated module
Refactor constant folding operations into a dedicated module, and added a new
ReplaceInstruction() API to collapse { computation->ReplaceInstruction();
changed=true}.
Change: 154857025
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| ac16d8010dbf9df48d91201cc4e7d34cdc5eb406 |
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28-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Check for broadcast literal values in addition to constants in simplifier.
Change: 154567986
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| ab3223ef812601f86c611277adef3c33963d5efc |
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27-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[TF:XLA] Implemented slice() constant folder.
If the operand of a slice operation is a constant literal, replace the slice HLO instruction with a new constant literal which represents the sliced tensor.
Change: 154432818
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 15a275969af7a8e485bdae9e153484ca5c616108 |
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27-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[TF:XLA] Added handling for concatenation operation constant folding.
Change: 154424221
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 341141a48bea3e39c76ed36e9015bd9ab67a6463 |
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26-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Eliminate empty operands of concat operations at the HLO level
Change: 154348912
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 6656c28260ae93a24d032b44cb96aca87c8d350a |
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18-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Eliminate unary concatenates in the AlgebraicSimplifier.
Change: 153410715
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| efce4a0452f1eba55fd35a22d20249f449f0debe |
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14-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Added and using GMock matcher for HloInstruction
Change: 153159175
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 5c8acccfc9e90d694a8394f5522097bfe87379b2 |
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11-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Using GMock matchers in XLA tests.
Change: 152823724
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| a352cba4a60aa99af9c817a792aae3e03e1b74a6 |
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11-Apr-2017 |
Jonathan Hseu <jhseu@google.com> |
Fix a segfault in AlgebraicSimplifierVisitor.
Change: 152743270
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| d599e9615237326bfb94a37a186fb495b0901ad6 |
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06-Apr-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Fixed test. ('broadcast_dims' has size 1)
Change: 152383633
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 7aee42ce9f2da034910dc8567a2e5143d90228a0 |
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30-Mar-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Remove reversal-of-solely-trivial-dimensions instructions.
Change: 151741816
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 3088d3664a99e7cb81ee190f4d65f4bd10407f42 |
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29-Mar-2017 |
David Majnemer <majnemer@google.com> |
[XLA] Move kPad from GpuElementalIrEmitter::MakeElementGenerator to ElementalIrEmitter::MakeElementGenerator
There is nothing GPU specific in GpuElementalIrEmitter::MakeElementGenerator
for kPad. Move it into the base implementation so that all subcalses have it as
an implementation.
Change: 151564674
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| e04ca3acc2b1ba54d4d66677e6a84e2bf3c30907 |
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28-Feb-2017 |
Blake Hechtman <blakehechtman@google.com> |
Ensures Bitcast is not performed between different elment sizes.
Removes restrictive requirement that replacing an operand requires
compatible shapes which is not true with broadcast optimizations.
Change: 148786513
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| f4beee5076fc52c60491085f4be9885588f2e4c8 |
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25-Jan-2017 |
Mark Heffernan <meheff@google.com> |
Internal-only change
Change: 145590752
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| f9006d72eb8541e7ca898de39747f26c4d5995f6 |
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25-Jan-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
[XLA] Make `HloPass` an interface, NFC
This will allow inheritance from both `HloPassInterface` and `DfsHloVisitor`, so various passes which include a visitor can have handler methods overridden per backend.
Change: 145477041
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 5aed36230aaa8e727990f1b8e37c82bed8b5356f |
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24-Jan-2017 |
Mark Heffernan <meheff@google.com> |
Improve support for pad instructions with negative padding.
Define semantics of negative padding in the Pad instruction to be identical to padding inside of convolution operation ConvWithGeneralPadding. Also make negative padding work in the backends.
Specific changes:
(1) Add transformation to algebraic simplifier which replaces negative padding with slices.
(2) fix ReferenceUtil to properly handle negative padding and interior padding.
(3) Add negative padding explanation to operation semantics g3doc.
(4) Extend LayoutsInShapesEqual and CopyLayoutBetweenShapes to work with shapes which are not exactly compatible but have the same rank and tuple structure.
Change: 145355127
/external/tensorflow/tensorflow/compiler/xla/service/algebraic_simplifier_test.cc
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| 1e67c90e2caceeff82d09793d1ef5fa0300d219b |
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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/service/algebraic_simplifier_test.cc
|