c1a6ae8994
Generalize the HloBinaryElementwiseAdaptor
...
We can use it also for ternary ops like Select if we change the signature so
that a ValueRange is passed in.
Also remove special casing for HloComplexAdaptor. It can be handled with the
generic adaptor as well.
PiperOrigin-RevId: 365777493
2021-03-30 03:53:53 -07:00
6388e8d9ee
mlir-hlo-opt: set preloadDialectsInContext to false.
...
This requires specifying dependent dialects in several passes.
PiperOrigin-RevId: 365758084
2021-03-30 01:07:14 -07:00
85a306d356
[MLIR][MHLO] Add pattern to inline broadcasted shapes
...
Simplify reasoning about `cstr_broadcastable` ops in the
`mhlo-move-up-dynamic-broadcasts-for-fusion` pass.
PiperOrigin-RevId: 365560893
2021-03-29 06:32:32 -07:00
fb819c1de8
[MLIR][MHLO] Apply patterns in MoveUpDynamicBroadcastsForFusionPass greedily
...
PiperOrigin-RevId: 365556488
2021-03-29 06:02:06 -07:00
a2b6060c0c
Add folder for HLO NotOp
...
PiperOrigin-RevId: 364989658
2021-03-25 02:08:38 -07:00
a34aa699f8
Fix tanh lowering for NaN input.
...
If the input is NaN, the result should be NaN, too.
PiperOrigin-RevId: 364788902
2021-03-24 06:34:36 -07:00
7f2bf48b8b
Integrate LLVM at llvm/llvm-project@b24436ac96
...
Updates LLVM usage to match
[b24436ac96bd](https://github.com/llvm/llvm-project/commit/b24436ac96bd )
PiperOrigin-RevId: 364615807
2021-03-23 12:20:17 -07:00
8987dfd1d6
[MLIR][HLO] Move broadcasts over n-ary shape-preserving ops
...
This will open up more fusion opportunities.
PiperOrigin-RevId: 364577231
2021-03-23 09:38:39 -07:00
54f37abc28
[MHLO] Move broadcasts over elementwise ops
...
Move up dynamic broadcasts and shape computations to allow for more fusion
opportunities.
PiperOrigin-RevId: 364514158
2021-03-23 02:34:41 -07:00
59fa7c0ef7
[MHLO:linalg] Lower all dynamic broadcasts of static shapes to linalg.generic
...
We only need the memref_reinterpret_cast if we don't know whether a dimension
gets expanded or not. With static shapes we know that a dimension can only be
expanded if it's a static 1, so lower it in the same way we lower fully
static broadcasts.
PiperOrigin-RevId: 363859181
2021-03-19 03:52:02 -07:00
0c4a89e52c
[MLIR][MHLO] Implement shape reification for `dynamic_broadcast_in_dim`
...
PiperOrigin-RevId: 363622714
2021-03-18 03:39:15 -07:00
2e0ee7759b
Add support for lowering mhlo.torch_index_select to Linalg on tensors.
...
The change upstreams the pattern from IREE repo to MHLO repo.
PiperOrigin-RevId: 363406294
2021-03-17 06:33:41 -07:00
a58e62590e
Restrict canonicalization to avoid changing type
...
Issue #47516
PiperOrigin-RevId: 363300979
2021-03-16 16:54:05 -07:00
c54527fe88
Integrate LLVM at llvm/llvm-project@678241795c
...
Updates LLVM usage to match
[678241795c95](https://github.com/llvm/llvm-project/commit/678241795c95 )
PiperOrigin-RevId: 363257913
2021-03-16 13:33:00 -07:00
2be112a603
[MLIR][MHLO] Approximate `tf.Tanh` as constant +/-1 for small/large values
...
Fix issue raised in https://github.com/tensorflow/tensorflow/issues/47724
PiperOrigin-RevId: 363210296
2021-03-16 10:14:30 -07:00
3de2024a9b
Avoid creating tuple type only for verification
...
Make the error message a bit more verbose & it is cheaper to verify the elements rather than creating a (potentially) new type.
PiperOrigin-RevId: 363073909
2021-03-15 17:58:19 -07:00
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.
...
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
...
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
...
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
...
This gives cleaner code and allows shape optimizations to happen on the result.
PiperOrigin-RevId: 362242975
2021-03-11 02:01:35 -08:00
9902e6ee32
[HLO] Add LMHLO CollectivePermute verification.
...
- Extract verification of source target pairs attached to collective permute into a common
helper function and use that to verify both MHLO and LMHLO variants.
- Change MlirGpuTestBase::ParseMlirModule to allow returning back a failure, and use
that to update the mlir_gpu_compile_test to check the new behavior.
PiperOrigin-RevId: 362156962
2021-03-10 15:37:12 -08:00
b212bd66ae
Build fix for missing precision_config.
...
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
cabd4d9a06
Canonicalize dynamic_broadcast_in_dim to own shape with rank narrowing on the shape to a corresponding tensor.cast.
...
PiperOrigin-RevId: 362028291
2021-03-10 05:43:54 -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
...
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
...
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
55eda81407
[MLIR][HLO] Reify shape extents as `index` values
...
PiperOrigin-RevId: 361519167
2021-03-08 02:42:47 -08:00
29f70cb892
PR #46723 : Adjust types of loop counters
...
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.
...
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.
...
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
...
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
e6a1f5f0f9
Add MinimumBroadcastShapesOp to chlo dialect.
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This op is useful for rank specialization of broadcasts. Kernel Generator
needs to generate one kernel for each rank, so if we can minimize the rank
of the broadcast shape, we can support more cases with the same number of
special-cased kernels.
PiperOrigin-RevId: 360137827
2021-03-01 02:23:52 -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.
...
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.
...
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
5adb7c6e12
[MLIR:LHLO] Add optional call target arg mapping to LMHLO CustomCall operations.
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- XLA:HLO -> LMHLO conversion drops all token arguments and return values, however
custom calls that users write still expect to get buffer pointers for these token types.
- To be able to support this, add an optional call target argument mapping attribute to
LMHLO custom calls. When this attribute is present, it indicates the number of
arguments and returns that the custom call expects and also indicates which LMHLO
arg() or output() maps to which arg or result number of the custom call.
PiperOrigin-RevId: 358826664
2021-02-22 08:43:00 -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
...
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.
...
PiperOrigin-RevId: 358152908
2021-02-18 04:54:23 -08:00
b579bd5d9e
Support dynamic-shaped operand in verification of BroadcastInDim.
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Verification of HLO_BroadcastInDimOp was previously failing or crashing if the
operand had a dynamic shape or was unranked. Update the verification code to
allow the operand to be unranked or have dynamic shape.
PiperOrigin-RevId: 358056793
2021-02-17 16:18:09 -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
81abaf364d
[MLIR][MHLO] Add polygamma op to the CHLO dialect
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PiperOrigin-RevId: 357724465
2021-02-16 08:32:33 -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>)`.
...
PiperOrigin-RevId: 356720899
2021-02-10 06:32:21 -08:00
80d753c1fe
Integrate LLVM at llvm/llvm-project@f89f6d1e5d
...
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.
...
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.
...
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
...
PiperOrigin-RevId: 355122765
2021-02-02 02:10:17 -08:00
96f8771ed7
Add MLIR generated kernel for Angle kernel.
...
This also requires a canonicalization pattern to remove a redundant dynamic
reshape from rank 1 to rank 1.
PiperOrigin-RevId: 355113135
2021-02-02 00:47:20 -08:00
816d279be3
[MLIR][CHLO] Simplify conversions with upcast
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PiperOrigin-RevId: 354975366
2021-02-01 10:48:10 -08:00
8e3890e8e8
[MLIR:HLO] Add AllGather and AllToAll operations to LMHLO dialect.
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- Use a common base class to for AllReduce, AllGather, and AllToAll in the ODS spec.
- Add basic verification for replica groups attribute.
PiperOrigin-RevId: 354969654
2021-02-01 10:23:46 -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.
...
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`
...
PiperOrigin-RevId: 354287316
2021-01-28 04:35:03 -08:00
c3ddcd6c7f
[MLIR][CHLO] Implement type inference for `is_inf`-like operations in CHLO
...
PiperOrigin-RevId: 354265834
2021-01-28 01:37:04 -08:00
fe2e5a175f
[MLIR][HLO] Implement type inference for `is_finite` op
...
PiperOrigin-RevId: 354261420
2021-01-28 00:56:12 -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
...
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
44deae2aa1
[MLIR:HLO] Extend AllReduce to support multiple inputs and results (to model tuples).
...
- Instead of SameTypeOperands, add custom verification to check if operands and
results pairwise have the same type.
PiperOrigin-RevId: 353986341
2021-01-26 17:25:22 -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
...
PiperOrigin-RevId: 353201886
2021-01-22 02:33:21 -08:00
d1c785381d
[XLA/GPU] Add XLA HLO -> LMHLO conversion to several ops, and implement them in XLA/GPU.
...
PiperOrigin-RevId: 353158172
2021-01-21 19:57:54 -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
...
PiperOrigin-RevId: 352993223
2021-01-21 04:42:56 -08:00
bec2e625a2
[MLIR][KernelGen] Add approximation lowering for mhlo.erf operation on f64
...
PiperOrigin-RevId: 352977456
2021-01-21 02:48:43 -08:00
7aa64ee0b7
[MLIR] Migrate TF from STD complex ops to ComplexDialect.
...
PiperOrigin-RevId: 352966408
2021-01-21 01:22:25 -08:00
70a351f301
Add chlo.acosh operation and associated lowerings.
...
PiperOrigin-RevId: 352839289
2021-01-20 11:43:44 -08:00
a7e645f37e
Fix incorrect include
...
PiperOrigin-RevId: 352820426
2021-01-20 10:24:41 -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
...
PiperOrigin-RevId: 352604725
2021-01-19 10:51:41 -08:00
96fb617413
[MLIR][KernelGen] Add erf kernel and missing lowering for f16 type
...
PiperOrigin-RevId: 352416184
2021-01-18 08:21:15 -08:00
c11ea4ef5a
[MLIR][KernelGen] Add `tf.Atanh` kernels
...
PiperOrigin-RevId: 352393602
2021-01-18 05:14:09 -08:00
3763740910
[MLIR][KernelGen] Add erf kernel for f32 arguments and missing lowerings
...
PiperOrigin-RevId: 352381016
2021-01-18 03:35:13 -08:00
bcdb3c3548
[MLIR] Lower mhlo.clamp to linalg
...
PiperOrigin-RevId: 351998800
2021-01-15 06:45:38 -08:00
791d5afd28
[MLIR][KernelGen] Add `tf.Asinh` kernels and complete their lowerings
...
PiperOrigin-RevId: 351989552
2021-01-15 05:26:57 -08:00
316f630728
[MLIR][KernelGen] Add cosh kernels and tests
...
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
181d2cad31
[MLIR][KernelGen] Add `tf.Log1p` kernel and tests
...
PiperOrigin-RevId: 351566460
2021-01-13 05:37:25 -08:00
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
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
0b85d5c510
[MLIR][KernelGen] Add asin kernels and tests
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PiperOrigin-RevId: 351381423
2021-01-12 09:02:46 -08:00
8f58f844e5
Upstream mhlo.dot lowering to Linalg to MHLO repo.
...
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
180f917446
[KERNEL_GEN] Add a pattern for hlo.dyn_broadcast->linalg to enable is_inf kernel.
...
PiperOrigin-RevId: 351179620
2021-01-11 10:13:31 -08:00
ecf1bf5132
[KERNEL_GEN] Add a canonicalization pattern to drop a redundant dynamic reshape.
...
PiperOrigin-RevId: 351141868
2021-01-11 06:38:03 -08:00
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
095dc28e5c
[KERNEL_GEN] Add canonicalizaton pattern to drop a redundant broadcast op.
...
PiperOrigin-RevId: 350105790
2021-01-05 03:01:00 -08:00
50fc56a208
Fix header include.
...
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
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
ccdd07f8e4
Prepare to remove tensor_load and tensor_store special handling from hlo to lhlo legalization.
...
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
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
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
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
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
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
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
099c130daf
Fix MLIR include paths.
...
PiperOrigin-RevId: 347976151
2020-12-17 00:56:04 -08:00
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
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
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
6d7812bbc5
Correct non ConversionRewriter transformation in LegalizeToLinalg
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PiperOrigin-RevId: 347622657
2020-12-15 08:56:58 -08:00
ddda2699fb
[KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
...
PiperOrigin-RevId: 347600145
2020-12-15 06:32:25 -08:00
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
9df327d88f
Forward listeners in LhloLegalizeToParallelLoops builders
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PiperOrigin-RevId: 347554379
2020-12-15 00:13:15 -08:00
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
8b35a75d4a
[KERNEL_GEN] Switch the pipeline to Linalg-on-Tensors.
...
PiperOrigin-RevId: 347368063
2020-12-14 05:46:47 -08:00
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
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
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
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
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
6a05893169
[XLA/GPU] Migrate all unnested elementwise emitters.
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PiperOrigin-RevId: 346725498
2020-12-10 00:21:36 -08:00
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
c36afd275e
[HLO] Add a pattern for HLO ConstOp to HLO -> Linalg conversion.
...
PiperOrigin-RevId: 346718273
2020-12-09 23:24:57 -08:00
cfcf741932
[XLA/GPU] Migrate all unnested elementwise emitters.
...
PiperOrigin-RevId: 346716519
2020-12-09 23:08:13 -08:00
65ebd85563
[XLA/GPU] Migrate all unnested elementwise emitters.
...
PiperOrigin-RevId: 346658288
2020-12-09 16:05:43 -08:00
1c10e1fec6
[XLA/GPU] Migrate all unnested elementwise emitters.
...
PiperOrigin-RevId: 346624905
2020-12-09 13:31:50 -08:00
1a5a1b5f41
[XLA/GPU] Migrate all unnested elementwise emitters.
...
PiperOrigin-RevId: 346574093
2020-12-09 09:54:16 -08:00
3c33fe4b9e
[XLA/GPU] Migrate all unnested elementwise emitters.
...
PiperOrigin-RevId: 346559170
2020-12-09 08:42:51 -08:00
e9057cbd93
[mlir] Enable conversion of HLO SignOp to Linalg.
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PiperOrigin-RevId: 346380514
2020-12-08 12:08:26 -08:00
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
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
5235eceea0
Lower mhlo shifts to linalg
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PiperOrigin-RevId: 346161253
2020-12-07 13:02:32 -08:00
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
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
Adrian Kuegel
A. Unique TensorFlower
Geoffrey Martin-Noble
Stella Laurenzo
Benjamin Kramer
Hanhan Wang
Jacques Pienaar
Rahul Joshi
Mahesh Ravishankar
Stephan Herhut
Marius Brehler
Christian Sigg
Richard Uhler
Alexander Belyaev
Tres Popp
Lei Zhang
Tim Shen
Smit Hinsu
River Riddle