A. Unique TensorFlower
ec5f5667e1
[MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
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PiperOrigin-RevId: 352773540
2021-01-20 05:31:15 -08:00
A. Unique TensorFlower
0e85b4d511
[MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
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PiperOrigin-RevId: 352604725
2021-01-19 10:51:41 -08:00
A. Unique TensorFlower
96fb617413
[MLIR][KernelGen] Add erf kernel and missing lowering for f16 type
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PiperOrigin-RevId: 352416184
2021-01-18 08:21:15 -08:00
A. Unique TensorFlower
c11ea4ef5a
[MLIR][KernelGen] Add `tf.Atanh` kernels
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PiperOrigin-RevId: 352393602
2021-01-18 05:14:09 -08:00
A. Unique TensorFlower
3763740910
[MLIR][KernelGen] Add erf kernel for f32 arguments and missing lowerings
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PiperOrigin-RevId: 352381016
2021-01-18 03:35:13 -08:00
A. Unique TensorFlower
bcdb3c3548
[MLIR] Lower mhlo.clamp to linalg
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PiperOrigin-RevId: 351998800
2021-01-15 06:45:38 -08:00
A. Unique TensorFlower
791d5afd28
[MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
...
PiperOrigin-RevId: 351989552
2021-01-15 05:26:57 -08:00
A. Unique TensorFlower
316f630728
[MLIR][KernelGen] Add cosh kernels and tests
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Allow for relative tolerance in unary kernel tests. In case of the cosh kernels,
this allows to accept an observed difference of 5.6e-8 between the kernel and
the `std::cosh` reference (32829984.568665262 vs. 32829984.568665318) in one of
the test cases.
PiperOrigin-RevId: 351983698
2021-01-15 04:31:30 -08:00
A. Unique TensorFlower
181d2cad31
[MLIR][KernelGen] Add `tf.Log1p` kernel and tests
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PiperOrigin-RevId: 351566460
2021-01-13 05:37:25 -08:00
Hanhan Wang
300a7c11ce
Upstream mhlo.dot_general lowering to Linalg to MHLO repo
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PiperOrigin-RevId: 351514250
2021-01-12 22:08:46 -08:00
A. Unique TensorFlower
97a618f91a
Integrate LLVM at llvm/llvm-project@6f4d460762
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Updates LLVM usage to match
[6f4d46076200](https://github.com/llvm/llvm-project/commit/6f4d46076200 )
PiperOrigin-RevId: 351474229
2021-01-12 16:38:25 -08:00
A. Unique TensorFlower
0b85d5c510
[MLIR][KernelGen] Add asin kernels and tests
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PiperOrigin-RevId: 351381423
2021-01-12 09:02:46 -08:00
Hanhan Wang
8f58f844e5
Upstream mhlo.dot lowering to Linalg to MHLO repo.
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We prototyped the lowering from mhlo.dot to linalg.matmul in IREE. Since Linalg
now supports matmul in tensors world, we can move the lowering logic to tensors
world, and upstream to legalize_to_linalg.cc. The patch lowers the mhlo.dot to
the linalg.matmul/matvec/dot in tensors world.
PiperOrigin-RevId: 351184911
2021-01-11 10:35:24 -08:00
Alexander Belyaev
180f917446
[KERNEL_GEN] Add a pattern for hlo.dyn_broadcast->linalg to enable is_inf kernel.
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PiperOrigin-RevId: 351179620
2021-01-11 10:13:31 -08:00
Alexander Belyaev
ecf1bf5132
[KERNEL_GEN] Add a canonicalization pattern to drop a redundant dynamic reshape.
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PiperOrigin-RevId: 351141868
2021-01-11 06:38:03 -08:00
Alexander Belyaev
6c42f54298
[KERNEL_GEN] Restrict broadcast -> reshape canonicalization to identity dims.
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This is needed to avoid the case, when the broadcast_in_dims also performs permutation.
PiperOrigin-RevId: 350650342
2021-01-07 15:30:28 -08:00
Alexander Belyaev
095dc28e5c
[KERNEL_GEN] Add canonicalizaton pattern to drop a redundant broadcast op.
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PiperOrigin-RevId: 350105790
2021-01-05 03:01:00 -08:00
Adrian Kuegel
50fc56a208
Fix header include.
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It should not have the third_party prefix, this doesn't work in open source.
PiperOrigin-RevId: 348905548
2020-12-24 01:40:31 -08:00
A. Unique TensorFlower
b0bf2ef45b
Integrate LLVM at llvm/llvm-project@c3acda0798
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Updates LLVM usage to match
[c3acda0798f9](https://github.com/llvm/llvm-project/commit/c3acda0798f9 )
PiperOrigin-RevId: 348896724
2020-12-23 23:53:54 -08:00
Stephan Herhut
ccdd07f8e4
Prepare to remove tensor_load and tensor_store special handling from hlo to lhlo legalization.
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This updates the tests to no longer rely on tensor_store. Once all users of this behavior have adopted, the tensor_store support will be removed.
PiperOrigin-RevId: 348624899
2020-12-22 06:29:12 -08:00
A. Unique TensorFlower
c4accdcc41
Integrate LLVM at llvm/llvm-project@1b97cdf885
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Updates LLVM usage to match
[1b97cdf885d6](https://github.com/llvm/llvm-project/commit/1b97cdf885d6 )
PiperOrigin-RevId: 348587513
2020-12-21 23:49:18 -08:00
Tres Popp
a42213b870
Define lowering of [l]mhlo.pow.
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For floating point operations, this uses std.pow.
For integer operations, this lowers to a loop.
This adds a dependency on scf.
PiperOrigin-RevId: 348537232
2020-12-21 15:27:40 -08:00
Smit Hinsu
9466cffaf3
Restrict CHLO Acos and Sinh op lowering to non complex types
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These are failing for complex types. Complex types require special handling. We have a fallback lowering for these ops so we can disable complex element types for now.
PiperOrigin-RevId: 348205002
2020-12-18 11:32:10 -08:00
Smit Hinsu
8d051723c0
Use InferTypeOpInterface for HLO AbsOp and fix result shape inference
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Shape inference in case of ops with complex element types need to use the element type of complex as the result element type and not the full operand type.
Before:
"mhlo.abs"(%arg0) : (tensor<4xcomplex<f32>>) -> tensor<4xtensor<4xcomplex<f32>>>
After:
"mhlo.abs"(%arg0) : (tensor<4xcomplex<f32>>) -> tensor<4xf32>
PiperOrigin-RevId: 348123967
2020-12-17 17:37:07 -08:00
Smit Hinsu
737d15ded5
Handle operands with zero elements in HLO PadOp folder
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PiperOrigin-RevId: 348034821
2020-12-17 09:27:36 -08:00
Christian Sigg
dc7e63f74c
Use mlir::OpState::operator->() to get to methods of mlir::Operation.
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This is a preparation step to remove those methods from OpState.
PiperOrigin-RevId: 348010582
2020-12-17 06:29:33 -08:00
Christian Sigg
099c130daf
Fix MLIR include paths.
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PiperOrigin-RevId: 347976151
2020-12-17 00:56:04 -08:00
A. Unique TensorFlower
5da9190dd9
Integrate LLVM at llvm/llvm-project@0cf7e4b252
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Updates LLVM usage to match
[0cf7e4b252fe](https://github.com/llvm/llvm-project/commit/0cf7e4b252fe )
PiperOrigin-RevId: 347948887
2020-12-16 20:30:17 -08:00
Adrian Kuegel
61244b136c
Try to avoid a segfault if we don't support a lowering.
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It can happen that a lowering for a certain type is not implemented yet.
We should not segfault in such a case, but instead return a failure().
PiperOrigin-RevId: 347801106
2020-12-16 04:58:17 -08:00
Alexander Belyaev
e6e8920921
[KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
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PiperOrigin-RevId: 347781190
2020-12-16 01:51:15 -08:00
Tres Popp
6d7812bbc5
Correct non ConversionRewriter transformation in LegalizeToLinalg
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PiperOrigin-RevId: 347622657
2020-12-15 08:56:58 -08:00
Alexander Belyaev
ddda2699fb
[KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
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PiperOrigin-RevId: 347600145
2020-12-15 06:32:25 -08:00
River Riddle
9540e51617
[mlir][NFC] Replace usages or mlir/IR/StandardTypes.h with mlir/IR/BuiltinTypes.h
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StandardTypes.h was moved to BuiltinTypes.h and is being removed.
PiperOrigin-RevId: 347559927
2020-12-15 00:59:29 -08:00
Tres Popp
9df327d88f
Forward listeners in LhloLegalizeToParallelLoops builders
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PiperOrigin-RevId: 347554379
2020-12-15 00:13:15 -08:00
Hanhan Wang
1a58f19664
[NFC] Make function names follow style guide.
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Functions should start with a capital letter and have a capital letter for each
new word. See https://google.github.io/styleguide/cppguide.html#Function_Names
PiperOrigin-RevId: 347420402
2020-12-14 10:46:55 -08:00
Alexander Belyaev
8b35a75d4a
[KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
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PiperOrigin-RevId: 347368063
2020-12-14 05:46:47 -08:00
River Riddle
6b439f7eee
[mlir][NFC] Replace usages or mlir/IR/StandardTypes.h with mlir/IR/BuiltinTypes.h
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StandardTypes.h was moved to BuiltinTypes.h and is being removed.
PiperOrigin-RevId: 347115952
2020-12-11 19:01:25 -08:00
Smit Hinsu
ab6ee11813
Fix folding of HLO SliceOp with zero elements
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This was causing division by zero in this case.
PiperOrigin-RevId: 346920942
2020-12-10 20:22:48 -08:00
Rahul Joshi
f232da1f9d
[MLIR:HLO] Add window_reversal attribute to convolution attributes.
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- Add this attribute to match the corresponding XLA HLO attribute on convolution
operations.
- A true value indicates a reversal of the corresponding kernel spatial dimension.
- Since XLA builder does not support this attribute, use a custom HLO converted to map
from mlir::mhlo::ConvOp to XLA.
PiperOrigin-RevId: 346891737
2020-12-10 16:39:19 -08:00
Christian Sigg
51f535454d
Use OpState::operator->() to get to member functions in Operation so we can remove the corresponding methods from OpState.
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PiperOrigin-RevId: 346721668
2020-12-09 23:54:07 -08:00
Alexander Belyaev
c36afd275e
[HLO] Add a pattern for HLO ConstOp to HLO -> Linalg conversion.
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PiperOrigin-RevId: 346718273
2020-12-09 23:24:57 -08:00
Alexander Belyaev
e9057cbd93
[mlir] Enable conversion of HLO SignOp to Linalg.
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PiperOrigin-RevId: 346380514
2020-12-08 12:08:26 -08:00
Stephan Herhut
c3790af758
Add plumbing for or and xor to hlo to lhlo and linalg lowerings.
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PiperOrigin-RevId: 346311314
2020-12-08 06:39:02 -08:00
Stephan Herhut
dd5895d083
Extend unranked hlo transformations to also support and, or and xor.
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PiperOrigin-RevId: 346270393
2020-12-08 01:00:26 -08:00
Benjamin Kramer
5235eceea0
Lower mhlo shifts to linalg
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PiperOrigin-RevId: 346161253
2020-12-07 13:02:32 -08:00
Tres Popp
d327fc5737
[kernel_gen] Lower max rank specialization from 6 to 5
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We don't care much about rank 6 broadcasting operations and this lowers compile times significantly.
PiperOrigin-RevId: 346046601
2020-12-07 02:18:38 -08:00
Smit Hinsu
bc7b6374c8
Fix handling of negative seeds in random number generator op kernels for XLA
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Casting negative s32 number to u64 directly will have leading 1s in the representation which is not what we want to get a single u64 out of two s32 seeds. Fixed this by first getting unsigned number of the same bit-width.
PiperOrigin-RevId: 345902167
2020-12-05 18:55:41 -08:00
Phoenix Meadowlark
c33bdcbd03
Remove fold of `mhlo.compare(%arg0, %arg0)` for floating types.
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Two tensors having the same SSA-value isn't sufficient for equality for floating types, as `NaN != NaN`. As written this causes `tf.IsNan` to [miscompile](https://github.com/google/iree/issues/4061 ).
PiperOrigin-RevId: 345730640
2020-12-04 12:15:02 -08:00
Smit Hinsu
9bd1995f90
Legalize XlaReplicaId to HLO replica-id op
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Also, define shape inference function for HLO replica-id op.
PiperOrigin-RevId: 345714342
2020-12-04 11:04:40 -08:00
A. Unique TensorFlower
e87d53742b
Fix handling of negative seeds in random number generator op kernels for XLA
...
Casting negative s32 number to u64 directly will have leading 1s in the representation which is not what we want to get a single u64 out of two s32 seeds. Fixed this by first getting unsigned number of the same bit-width.
PiperOrigin-RevId: 345618958
2020-12-04 00:04:10 -08:00