Stephan Herhut
6cd1875ee4
Implement lowering of chlo::zeta to mhlo dialect.
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PiperOrigin-RevId: 355395581
2021-02-03 07:50:05 -08:00
A. Unique TensorFlower
3b67b207c4
[MLIR][CHLO] Use CHLO lowering for `is_inf` op
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PiperOrigin-RevId: 355189054
2021-02-02 09:53:13 -08:00
A. Unique TensorFlower
0458ae9a22
[MLIR][KernelGen] Add `tf.Digamma` kernels
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PiperOrigin-RevId: 355129028
2021-02-02 03:07:39 -08:00
A. Unique TensorFlower
f40ccc5b4b
[MLIR][CHLO] Add `chlo.digamma` and lowering to MHLO
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PiperOrigin-RevId: 355122765
2021-02-02 02:10:17 -08:00
A. Unique TensorFlower
816d279be3
[MLIR][CHLO] Simplify conversions with upcast
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PiperOrigin-RevId: 354975366
2021-02-01 10:48:10 -08:00
A. Unique TensorFlower
2b72ddc6b2
[MLIR][KernelGen] Add `lgamma` kernels
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PiperOrigin-RevId: 354519407
2021-01-29 06:14:17 -08:00
Stephan Herhut
e61ef86fdb
Add zeta and broadcasting_zeta to chlo dialect.
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PiperOrigin-RevId: 354500879
2021-01-29 03:22:52 -08:00
Hanhan Wang
30ce82790d
Upstream mhlo.reduce lowering to Linalg to MHLO repo.
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In IREE, we use indexed generic op to handle the initial value. However, we
lower it to a generic op that carries an init_tensor here, and leave the handle
of initialization problem to later passes.
PiperOrigin-RevId: 354294807
2021-01-28 05:46:09 -08:00
Lei Zhang
39589add22
Use the correct shape when converting mhlo.reshape
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If mhlo.reshape is not purely collapsing some consecutive operand
dimensions into result dimensions, we will generate two linalg
reshape op for it: the first one collapses all operand dimensions
into one dimension, and the second one expands it to all result
dimensions. For this case, the number of collapsed/expanded dimensions
should be coming strictly from the operand/result. It is different
from the case where we can generate one linalg reshape. For that case,
the reassociation map should have rank equal to the largest among
operand/result shape.
PiperOrigin-RevId: 354293826
2021-01-28 05:37:54 -08:00
A. Unique TensorFlower
e0a7be7fb1
[MLIR][CHLO] Add `chlo.lgamma` and lowering to `hlo`
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PiperOrigin-RevId: 354287316
2021-01-28 04:35:03 -08:00
A. Unique TensorFlower
c653db73c5
Integrate LLVM at llvm/llvm-project@c85b6bf33c
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Updates LLVM usage to match
[c85b6bf33c47](https://github.com/llvm/llvm-project/commit/c85b6bf33c47 )
PiperOrigin-RevId: 354136678
2021-01-27 11:46:07 -08:00
A. Unique TensorFlower
d77c9ad6fa
[MLIR][CHLO] Add `is_inf`, `is_pos_inf`, and `is_neg_inf` to CHLO dialect
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Also add the respective lowerings to MHLO.
PiperOrigin-RevId: 354101955
2021-01-27 09:00:56 -08:00
Adrian Kuegel
fa059259bc
Add template for tf.Cast
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Also generate the kernels for all types of casts between signed int and float types.
This requires some adaptations to our build macros so that we can also specify the
output type of a kernel.
PiperOrigin-RevId: 354067727
2021-01-27 04:49:55 -08:00
A. Unique TensorFlower
ae2d46414d
[MLIR][KernelGen] Add erfc kernel for f16
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PiperOrigin-RevId: 353209468
2021-01-22 03:38:30 -08:00
A. Unique TensorFlower
ef8ccdaebc
[MLIR] Add mhlo.logistic lowering to linalg
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PiperOrigin-RevId: 353205440
2021-01-22 03:03:16 -08:00
A. Unique TensorFlower
c846f925d4
[MLIR][KernelGen] Add chlo.erfc lowering for f32
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PiperOrigin-RevId: 353201886
2021-01-22 02:33:21 -08:00
Hanhan Wang
e2d60e01ba
Fix CMakeLists.txt
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This is the followup of `7aa64ee0b791` The dep was added in BUILD, but not CMakeLists.txt
PiperOrigin-RevId: 353078811
2021-01-21 12:42:35 -08:00
A. Unique TensorFlower
1a37078132
[MLIR][KernelGen] Add chlo.erfc lowerings for f64
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PiperOrigin-RevId: 352993223
2021-01-21 04:42:56 -08:00
A. Unique TensorFlower
bec2e625a2
[MLIR][KernelGen] Add approximation lowering for mhlo.erf operation on f64
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PiperOrigin-RevId: 352977456
2021-01-21 02:48:43 -08:00
Alexander Belyaev
7aa64ee0b7
[MLIR] Migrate TF from STD complex ops to ComplexDialect.
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PiperOrigin-RevId: 352966408
2021-01-21 01:22:25 -08:00
Stephan Herhut
70a351f301
Add chlo.acosh operation and associated lowerings.
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PiperOrigin-RevId: 352839289
2021-01-20 11:43:44 -08:00
Tres Popp
ba0346b071
Integrate LLVM at llvm/llvm-project@96ef4f307d
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Updates LLVM usage to match
[96ef4f307df2](https://github.com/llvm/llvm-project/commit/96ef4f307df2 )
PiperOrigin-RevId: 352786460
2021-01-20 07:09:47 -08:00
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
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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
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
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