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
River Riddle
3abdd556de
[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: 347111863
2020-12-11 18:12:59 -08:00
Tim Shen
22b91d62ff
[XLA/GPU] Migrate all unnested elementwise emitters.
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Also fix GetHloOutputs/GetHloOperands to treat aliased operands correctly.
PiperOrigin-RevId: 347055290
2020-12-11 12:45:21 -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
A. Unique TensorFlower
6a05893169
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346725498
2020-12-10 00:21:36 -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
Tim Shen
cfcf741932
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346716519
2020-12-09 23:08:13 -08:00
A. Unique TensorFlower
65ebd85563
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346658288
2020-12-09 16:05:43 -08:00
Tim Shen
1c10e1fec6
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346624905
2020-12-09 13:31:50 -08:00
A. Unique TensorFlower
1a5a1b5f41
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346574093
2020-12-09 09:54:16 -08:00
Tim Shen
3c33fe4b9e
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346559170
2020-12-09 08:42:51 -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
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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: 345618958
2020-12-04 00:04:10 -08:00
Smit Hinsu
9456af5880
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: 345605910
2020-12-03 22:09:56 -08:00
Tres Popp
7c3f049c8e
[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: 345466476
2020-12-03 09:19:25 -08:00