4f5e1c51dd
Add support for lowering NHWC pooling mhlo.reduce_window to Linalg on tensors.
...
The change upstreams the pattern from IREE repo to MHLO repo.
PiperOrigin-RevId: 362312573
2021-03-11 09:41:34 -08:00
630cabefb0
Add support for lowering 2D depthwise mhlo.conv to Linalg on tensors.
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The change upstreams the pattern from IREE repo to MHLO repo.
PiperOrigin-RevId: 362300550
2021-03-11 08:41:38 -08:00
94f9740c67
[MLIR][HLO:Linalg] Lower mhlo.dynamic_iota to indexed_generic
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This is the same as iota, but instead of taking the dimensions from the result
tensor we use the supplied shape extents tensor.
PiperOrigin-RevId: 362298548
2021-03-11 08:31:29 -08:00
09f8046816
[MLIR:HLO:LINALG] Fix codegen for mhlo.reshape when one side is rank 0
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This is an annoying edge case because the collapse->expand lowering expects at
least R1 or it will produce invalid linalg reshapes. Using the direct lowering
works fine.
PiperOrigin-RevId: 362269199
2021-03-11 05:29:56 -08:00
d77b556822
[MLIR][MHLO] Allow recursion in the shape_of mover
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This allows it to push shape_of over a chain of ops all the way to the top.
PiperOrigin-RevId: 362249009
2021-03-11 02:52:21 -08:00
67a770e4e0
[HLO:MLIR] Make binary op type reification emit shape_of instead of tensor ops
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This gives cleaner code and allows shape optimizations to happen on the result.
PiperOrigin-RevId: 362242975
2021-03-11 02:01:35 -08:00
b212bd66ae
Build fix for missing precision_config.
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THe conversion from dot_general to dot fails when trying to retrieve
and use the precision config, since precision_config is optional.
PiperOrigin-RevId: 362095296
2021-03-10 11:10:51 -08:00
e199df1dbf
[MLIR][MHLO] Declare `shape_of` dynamically legal in move-up-dynamic-broadcasts
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This allows shape reification to produce `shape_of` ops while they can still be
moved up.
PiperOrigin-RevId: 362075609
2021-03-10 09:59:17 -08:00
c217a6ef61
[MHLO] Add pass to move up dynamic broadcasts for fusion
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For now, the pass only reifies the required shape computations. Moving
broadcasts will follow to allow for fusion across them.
PiperOrigin-RevId: 362033715
2021-03-10 06:21:57 -08:00
507d9fb61d
[MLIR][KernelGen] Add `tf.Polygamma` kernel
...
PiperOrigin-RevId: 362002943
2021-03-10 02:22:01 -08:00
218476128e
[MLIR][KernelGen] Fix zeta lowering at poles
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Return nan at zeta poles or inf where the limit is defined. Also test the kernel
based on the series representation of zeta.
PiperOrigin-RevId: 361993482
2021-03-10 01:09:10 -08:00
5be8be31b5
Integrate LLVM at llvm/llvm-project@3f3f88fb95
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Updates LLVM usage to match
[3f3f88fb9503](https://github.com/llvm/llvm-project/commit/3f3f88fb9503 )
PiperOrigin-RevId: 361762801
2021-03-09 02:19:24 -08:00
29f70cb892
PR #46723 : Adjust types of loop counters
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Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/46723
Reduces some warnings about comparison of integers of different signs.
Copybara import of the project:
--
311f436f77b334f5462127d8cf179cce067969ca by Marius Brehler <marius.brehler@iml.fraunhofer.de>:
Adjust types of loop counters
Reduces some warnings about comparison of integers of different signs.
PiperOrigin-RevId: 360912203
2021-03-04 07:36:12 -08:00
39650a5d5a
Remove rank 1 specialization from TransformUnrankedHloPass.
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For binary ops, we already special-case rank 0 vs rank 1, and same shape. So we
don't need to special-case a maximum rank of 1.
PiperOrigin-RevId: 360891955
2021-03-04 05:24:53 -08:00
62b357b601
Remove rank 1 specialization from TransformUnrankedHloPass.
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For binary ops, we already special-case rank 0 vs rank 1, and same shape. So we
don't need to special-case a maximum rank of 1.
PiperOrigin-RevId: 360881387
2021-03-04 04:04:11 -08:00
8687f3e4cf
Lower MHLO Dot to type-polymorphic linalg named ops
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The linalg named ops are now type polymorphic, so the type-monomorphic
varieties are redundant (and will be deleted soon).
PiperOrigin-RevId: 360509010
2021-03-02 14:00:58 -08:00
1facbe9eb5
Integrate LLVM at llvm/llvm-project@7f086d74c3
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Updates LLVM usage to match
[7f086d74c347](https://github.com/llvm/llvm-project/commit/7f086d74c347 )
PiperOrigin-RevId: 360434104
2021-03-02 08:33:21 -08:00
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.
...
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
Hanhan Wang
Benjamin Kramer
Mahesh Ravishankar
A. Unique TensorFlower
Marius Brehler
Adrian Kuegel
Geoffrey Martin-Noble
Christian Sigg
Alexander Belyaev
Tres Popp
Stephan Herhut