0683db3b24
Legalize MinimumBroadcastShapes op.
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Use it in TransformUnrankedHloPass, which allows to reduce the maximum
rank for rank specialized broadcast from 6 to 5.
PiperOrigin-RevId: 360415743
2021-03-02 06:39:01 -08:00
70ee9369d5
Use mlir::OpState::operator->() to get to Operation::getAttrs().
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This is a preparation step to remove getAttrs() from OpState.
PiperOrigin-RevId: 360159716
2021-03-01 04:53:00 -08:00
e19ccf975e
Filter static dimensions from dynamic_broadcast_in_dim's init_tensor
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Otherwise we'd generate invalid IR for those cases.
PiperOrigin-RevId: 360144122
2021-03-01 03:03:54 -08:00
2d818c4fd9
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: 360043992
2021-02-28 09:02:33 -08:00
a8f99ee0f5
Fix the shape of linalg.init_tensor in conv op lowering.
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The output spatial dims are not as same as the input spatial dims. Only supports
static output spatial dims for now.
PiperOrigin-RevId: 359775479
2021-02-26 09:34:11 -08:00
90f0d7f935
Add support for lowering mhlo.conv to Linalg on tensors.
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This pattern only works for normal convolutions. It does not work for depthwise
convolutions. The Linalg conv ops are defined with static rank, so it only
supports 1d/2d/3d cases, which are the most typical cases.
This also refactors out the same check in lmhlo.conv lowering.
PiperOrigin-RevId: 359503527
2021-02-25 05:59:08 -08:00
45a1249fe2
Add support for lowering mhlo.pad to linalg.pad_tensor
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The change upstreams the pattern from IREE repo to MHLO repo.
PiperOrigin-RevId: 359481543
2021-02-25 03:00:39 -08:00
89f7f2bd65
Lower integer matmuls to linalg
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PiperOrigin-RevId: 359306495
2021-02-24 09:45:07 -08:00
475b4a06a5
Add support for lowering mhlo.slice to subtensor.
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PiperOrigin-RevId: 359297978
2021-02-24 09:06:09 -08:00
ac0552f127
[MLIR][HLO] Remove duplicate `PopulateTransformUnrankedHloPatterns`
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PiperOrigin-RevId: 359046173
2021-02-23 07:50:47 -08:00
a9cc1dcfa0
[mlir][hlo] Add basic rank-specialization for select
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This just blows up everything to ranked (up to 6) and is probably quite slow.
This is sufficient to make kernelgen compile SelectV2.
PiperOrigin-RevId: 358777728
2021-02-22 02:41:12 -08:00
b42def4612
[mlir][hlo] Refactor rank specialization to allow an arbitrary number of inputs
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This actually simplifies the code a bit.
PiperOrigin-RevId: 358201038
2021-02-18 09:53:03 -08:00
ca4034b56e
[mlir][hlo] Make select ready for dynamic shapes (ranked only for now)
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Move tf.SelectV2 broadcast lowering to a chlo.broadcast_select op, and lower it
to broadcasts on mhlo from there.
PiperOrigin-RevId: 358179975
2021-02-18 08:08:40 -08:00
37e31f8b26
Lower Expm1 kernel to math.ExpM1.
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PiperOrigin-RevId: 358152908
2021-02-18 04:54:23 -08:00
220deb3709
[MLIR][CHLO] Add legalization for `chlo.polygamma` to MHLO
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PiperOrigin-RevId: 357954624
2021-02-17 08:33:01 -08:00
c06de24f6c
[MLIR][CHLO] Generalize lowering with upcast to n-ary operation
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Allows reuse for zeta lowering now and for the polygamma lowering soon.
PiperOrigin-RevId: 357739910
2021-02-16 09:47:24 -08:00
2fe0c33083
Integrate LLVM at llvm/llvm-project@16428a8d91
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Updates LLVM usage to match
[16428a8d91a9](https://github.com/llvm/llvm-project/commit/16428a8d91a9 )
PiperOrigin-RevId: 357550807
2021-02-15 04:17:58 -08:00
824bc9c425
Improve broadcast transformation to treat dynamic shapes with 1 element as scalar.
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A shape that contains exactly one element is effectively a scalar. This leads
to a speedup in cases where we have a binary op with one operand that is
effectively a scalar, because we can use the fast path.
PiperOrigin-RevId: 357515552
2021-02-14 23:25:41 -08:00
4060a86fe2
Integrate LLVM at llvm/llvm-project@2bfe27da17
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Updates LLVM usage to match
[2bfe27da171e](https://github.com/llvm/llvm-project/commit/2bfe27da171e )
PiperOrigin-RevId: 357196336
2021-02-12 08:32:03 -08:00
36e04d92c0
[KERNEL_GEN] Add a pattern to bufferize `mhlo.reshape(<unranked_tensor>)`.
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PiperOrigin-RevId: 356720899
2021-02-10 06:32:21 -08:00
80d753c1fe
Integrate LLVM at llvm/llvm-project@f89f6d1e5d
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Updates LLVM usage to match
[f89f6d1e5d7d](https://github.com/llvm/llvm-project/commit/f89f6d1e5d7d )
PiperOrigin-RevId: 356265374
2021-02-08 09:47:00 -08:00
d086b8a0ec
Correct HLO atan2 lowering in cases of -inf and -0 inputs.
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This is being done by just removing the approximation and lowering to atan2 lib calls later to make the implementation the same as XLA. Note that if the approximation is brought back later, it can be fixed by changing the IR checking `less-than(X, 0)` to `less-than(copysign(X, 1), 0)`
PiperOrigin-RevId: 356253941
2021-02-08 06:58:04 -08:00
1c4521cc42
Integrate LLVM at llvm/llvm-project@d1978fa4bf
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Updates LLVM usage to match
[d1978fa4bf0d](https://github.com/llvm/llvm-project/commit/d1978fa4bf0d )
PiperOrigin-RevId: 355848094
2021-02-05 07:42:06 -08:00
99bc05f2e4
Integrate LLVM at llvm/llvm-project@91e7a17133
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Updates LLVM usage to match
[91e7a1713332](https://github.com/llvm/llvm-project/commit/91e7a1713332 )
PiperOrigin-RevId: 355702100
2021-02-04 13:42:31 -08:00
60e1b6882c
Add kernel definition for zeta operation.
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PiperOrigin-RevId: 355575619
2021-02-04 01:27:43 -08:00
44d0464d16
Use linalg.fill on tensors instead of tensor.generate in MHLO -> Linalg conversion.
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linalg.fill on tensors is a structured op that allows use tile + fuse
to reduce the fill overhead.
PiperOrigin-RevId: 355490400
2021-02-03 15:03:49 -08:00
6cd1875ee4
Implement lowering of chlo::zeta to mhlo dialect.
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PiperOrigin-RevId: 355395581
2021-02-03 07:50:05 -08:00
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
0458ae9a22
[MLIR][KernelGen] Add `tf.Digamma` kernels
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PiperOrigin-RevId: 355129028
2021-02-02 03:07:39 -08:00
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
816d279be3
[MLIR][CHLO] Simplify conversions with upcast
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PiperOrigin-RevId: 354975366
2021-02-01 10:48:10 -08:00
2b72ddc6b2
[MLIR][KernelGen] Add `lgamma` kernels
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PiperOrigin-RevId: 354519407
2021-01-29 06:14:17 -08:00
e61ef86fdb
Add zeta and broadcasting_zeta to chlo dialect.
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PiperOrigin-RevId: 354500879
2021-01-29 03:22:52 -08:00
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
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
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
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
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
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
ae2d46414d
[MLIR][KernelGen] Add erfc kernel for f16
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PiperOrigin-RevId: 353209468
2021-01-22 03:38:30 -08:00
ef8ccdaebc
[MLIR] Add mhlo.logistic lowering to linalg
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PiperOrigin-RevId: 353205440
2021-01-22 03:03:16 -08:00
c846f925d4
[MLIR][KernelGen] Add chlo.erfc lowering for f32
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PiperOrigin-RevId: 353201886
2021-01-22 02:33:21 -08:00
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
1a37078132
[MLIR][KernelGen] Add chlo.erfc lowerings for f64
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PiperOrigin-RevId: 352993223
2021-01-21 04:42:56 -08:00
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
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
70a351f301
Add chlo.acosh operation and associated lowerings.
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PiperOrigin-RevId: 352839289
2021-01-20 11:43:44 -08:00
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
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
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
Adrian Kuegel
Christian Sigg
Benjamin Kramer
Hanhan Wang
Geoffrey Martin-Noble
A. Unique TensorFlower
Alexander Belyaev
Tres Popp
Stephan Herhut
Mahesh Ravishankar
Lei Zhang