Commit Graph

302 Commits

Author SHA1 Message Date
A. Unique TensorFlower d2cc74317c Implement constant folding for mhlo.Sign.
PiperOrigin-RevId: 373550014
2021-05-13 03:54:04 -07:00
Hanhan Wang d764806c1e [MHLO:Linalg] Add support for lowering reshape of unsigned tensors
PiperOrigin-RevId: 373461627
2021-05-12 15:14:29 -07:00
A. Unique TensorFlower 420c42a0a1 [MLIR][HLO] Support CHLO unary operations in rank specialization clustering
PiperOrigin-RevId: 373397321
2021-05-12 10:20:43 -07:00
A. Unique TensorFlower 596918a6f1 [MLIR][HLO] Allow rank specialization clustering with `chlo.broadcast_select` op
PiperOrigin-RevId: 373379990
2021-05-12 08:56:49 -07:00
Rahul Joshi e260aa771c [HLO] Add custom print/parse for convolution dimension numbers (in LMHLO)
PiperOrigin-RevId: 373379227
2021-05-12 08:52:46 -07:00
A. Unique TensorFlower 875803e5e1 [MLIR][HLO] Add more tests for `rank-specialization-cluster` pass
PiperOrigin-RevId: 373343750
2021-05-12 04:46:30 -07:00
A. Unique TensorFlower 313d24bc8f [MLIR][HLO] Add `rank-specialization-cluster` pass
Add a pass to cluster unranked C/HLO operations in one
`chlo.rank_specialization_cluster` op. The C/HLO operations are moved to the
body of the operation. Later passes can use this to rank-specialize all these
operations together.

PiperOrigin-RevId: 373336725
2021-05-12 03:46:01 -07:00
A. Unique TensorFlower 7f7a86ad0d [MLIR][HLO] Implement `RegionBranchOpInterface` for rank specialization cluster
PiperOrigin-RevId: 373163196
2021-05-11 09:03:05 -07:00
A. Unique TensorFlower 96a47345cc [MLIR][HLO] Add `rank_specialization_cluster` op to CHLO
The operation will be used to cluster compatible operations that can be rank-
specialized collectively.

PiperOrigin-RevId: 373128557
2021-05-11 05:17:42 -07:00
Benjamin Kramer 86b7eb434c [MHLO] Don't crash trying to constant fold mhlo.convert on complex
MLIR still doesn't have a complex attribute so this can't be implemented, so
just bail out instead of trying to fold.

PiperOrigin-RevId: 373128307
2021-05-11 05:15:57 -07:00
A. Unique TensorFlower 7f86dd9f7e Constant fold compare EQ if one of the operands is true and compare NE if one of the operands is false.
PiperOrigin-RevId: 373058030
2021-05-10 18:53:49 -07:00
A. Unique TensorFlower 2af1796194 Integrate LLVM at llvm/llvm-project@5c7b43aa82
Updates LLVM usage to match
[5c7b43aa8298](https://github.com/llvm/llvm-project/commit/5c7b43aa8298)

PiperOrigin-RevId: 373028739
2021-05-10 15:46:34 -07:00
Rahul Joshi ce4c76314e [NFC] Remove all_gather_dimension from all-to-all in the unit test
PiperOrigin-RevId: 372463706
2021-05-06 18:14:52 -07:00
Rahul Joshi 8c854886cb [XLA:GPU] Allow all-gather operands to have different element types.
- XLA's all-gather combiner can create such all-gathers, so relax the same element type
  trait for all-gathers.

PiperOrigin-RevId: 372380446
2021-05-06 11:04:13 -07:00
Adrian Kuegel b2bc17c8b0 Integrate LLVM at llvm/llvm-project@632ebc4ab4
Updates LLVM usage to match
[632ebc4ab437](https://github.com/llvm/llvm-project/commit/632ebc4ab437)

PiperOrigin-RevId: 372330771
2021-05-06 06:37:39 -07:00
A. Unique TensorFlower d8c40b691c [MLIR][HLO] Add `shape.broadcast` canonicalization to unblock broadcast moving
PiperOrigin-RevId: 372120309
2021-05-05 07:16:49 -07:00
Geoffrey Martin-Noble ac68145565 [MHLO:Linalg] Add support for lowering concat of unsigned tensors
Nothing about concat here really. Just need to plumb through the type
conversion.

PiperOrigin-RevId: 372012957
2021-05-04 15:57:54 -07:00
Geoffrey Martin-Noble 5a60793b31 [MHLO:Linalg] Add support for lowering dynamic-slice on unsigned ints
PiperOrigin-RevId: 371979004
2021-05-04 13:08:36 -07:00
Adrian Kuegel 384b87fad0 Lower ReluGrad via chlo::BroadcastSelect.
This allows to get rid of the constraint that it needs to have a static shape.

PiperOrigin-RevId: 371862452
2021-05-04 01:03:02 -07:00
Benjamin Kramer f4414fcd66 [MHLO:Linalg] Add support for lowering unsigned ops
This strips away the signedness with a type converter, using unrealized
conversion casts. The rest is mostly mechanically pushing the original op down
the pipeline so lowerings can see the original types.

Signed types stay signless for now. This can be changed in the HLO bridge later.

I did a pass over all ops and added unsigned lowerings where they were missing.
There may be more.

Currently the lowering will die at a later stage because it doesn't understand
the unrealized casts.

PiperOrigin-RevId: 371077494
2021-04-29 02:27:35 -07:00
A. Unique TensorFlower 4d41b11f3b Integrate LLVM at llvm/llvm-project@671f0e2e18
Updates LLVM usage to match
[671f0e2e189c](https://github.com/llvm/llvm-project/commit/671f0e2e189c)

PiperOrigin-RevId: 371011125
2021-04-28 16:37:53 -07:00
Benjamin Kramer b2a23bf269 Integrate LLVM at llvm/llvm-project@4b13b7581d
Updates LLVM usage to match
[4b13b7581db5](https://github.com/llvm/llvm-project/commit/4b13b7581db5)

PiperOrigin-RevId: 370736351
2021-04-27 12:19:05 -07:00
A. Unique TensorFlower e500ab37a1 Introduce constant folds for ReduceOp with single LogicalAnd or LogicalOr op.
PiperOrigin-RevId: 370551483
2021-04-26 15:11:27 -07:00
Adrian Kuegel 0e2b255f01 Lower LHLO::AbsOp to complex dialect.
Also fix the traits for LHLO::AbsOp to allow different types and add a
verifier.

PiperOrigin-RevId: 370438790
2021-04-26 05:44:03 -07:00
A. Unique TensorFlower 0569b7f7a4 [MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
PiperOrigin-RevId: 370112887
2021-04-23 10:52:50 -07:00
A. Unique TensorFlower 21e9365718 [MLIR][MHLO] Generalize extent tensor cast elimination in bcast moving
PiperOrigin-RevId: 370085141
2021-04-23 08:31:11 -07:00
A. Unique TensorFlower da5d252143 [MLIR] Merge extent tensor casts into `shape_of` ops in broadcast moving
PiperOrigin-RevId: 370058002
2021-04-23 04:44:01 -07:00
A. Unique TensorFlower 890a79641e Integrate LLVM at llvm/llvm-project@37e1458128
Updates LLVM usage to match
[37e145812855](https://github.com/llvm/llvm-project/commit/37e145812855)

PiperOrigin-RevId: 370020161
2021-04-22 22:57:08 -07:00
Hanhan Wang 49df46893c Add support for lowering variadic mhlo.reduce op.
Also add more lowering for body ops. Some MinOp and MaxOp can be legalized to
SelectOp + CompareOp.

PiperOrigin-RevId: 369891551
2021-04-22 09:50:49 -07:00
Benjamin Kramer 4d435a817e [mhlo:linalg] Add support for lowering mhlo.concatenate to Linalg ops.
This uses a indexed linalg.generic, which is rather awkward standalone but
allows fusing into the output of the concatenate and avoid to ever materialize
it in memory. I think this is the only way to get that with the current linalg
stack, fusion across a concatenate would require more infrastructure.

PiperOrigin-RevId: 369677652
2021-04-21 10:01:08 -07:00
A. Unique TensorFlower 8db96f54d3 [mhlo] Add a folder for mhlo.map which does nothing but return one of the arguments.
Add a folder for maps whose body returns only one of the arguments. When this arises the fold replaces the map output with one of the operand tensors.

PiperOrigin-RevId: 369304322
2021-04-19 14:36:08 -07:00
A. Unique TensorFlower 9374a1c0c5 [MLIR] Fix merge of assuming ops
Assuming ops can only be merged if their witnesses will dominate the merged
assuming op. This is not the case if the second op's witness is a result of the
first.

PiperOrigin-RevId: 369192868
2021-04-19 04:21:08 -07:00
Adrian Kuegel db9f298505 Generate Equal and NotEqual kernels for complex types.
PiperOrigin-RevId: 368586877
2021-04-15 00:35:52 -07:00
Prashant Kumar 236e7db5c0 PR #47315: [MLIR] Add concatenateOp lowering from lmhlo to Affine.
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/47315

Lowering of `concatenateOp` is added from lmhlo to Affine. The lowering
has been added as a part of `lhlo-legalize-to-affine` pass.

Signed-off-by: Prashant Kumar <prashantk@polymagelabs.com>
Copybara import of the project:

--
15314e4579f7a6901cf3475eff25962a34772eaf by Prashant Kumar <prashantk@polymagelabs.com>:

[MLIR] Add concatenateOp lowering from lmhlo to Affine.

Lowering of `concatenateOp` is added from lmhlo to Affine. The lowering
has been added as a part of `lhlo-legalize-to-affine` pass.

Signed-off-by: Prashant Kumar <prashantk@polymagelabs.com>
PiperOrigin-RevId: 368465992
2021-04-14 11:06:38 -07:00
Jacques Pienaar fdd75daed6 Add shape function for MHLO RngNormal and RngUniform
PiperOrigin-RevId: 368276963
2021-04-13 12:59:42 -07:00
Hanhan Wang a3fc99efe0 Add support for lowering mhlo.dynamic_slice to Linalg ops.
PiperOrigin-RevId: 368033540
2021-04-12 10:34:55 -07:00
A. Unique TensorFlower 0ec0a23e61 [MLIR][HLO] Generalize merged witnesses in `move-up-dynamic-broadcasts-for-fusion`
PiperOrigin-RevId: 368012460
2021-04-12 08:55:29 -07:00
Alexander Belyaev 8a9bf05d78 Integrate LLVM at llvm/llvm-project@6ce76ff7eb
Updates LLVM usage to match
[6ce76ff7eb76](https://github.com/llvm/llvm-project/commit/6ce76ff7eb76)

PiperOrigin-RevId: 367678843
2021-04-09 12:11:56 -07:00
A. Unique TensorFlower 6d2209e301 [MLIR][HLO] Canonicalize chained broadcasts
Compose two subsequent `dynamic_broadcast_in_dim` ops into one.

PiperOrigin-RevId: 367630360
2021-04-09 07:35:34 -07:00
Hanhan Wang fdb653788c Add support for lowering and/or within mhlo.reduce op body.
PiperOrigin-RevId: 367627034
2021-04-09 07:09:13 -07:00
Adrian Kuegel cc607bc72d Support up to rank 8 in rank specialization for SelectOp.
PiperOrigin-RevId: 367406557
2021-04-08 04:55:41 -07:00
Rahul Joshi ff2cbfa2ec [MLIR] Add support for representing variadic reduce-window in HLO/LMHLO dialect.
-  Fixed a subset of transformations to handle variadic reduce-window.

PiperOrigin-RevId: 366278650
2021-04-01 10:24:50 -07:00
A. Unique TensorFlower c23be1841c [MLIR] Add example test case for `move-up-dynamic-broadcasts-for-fusion` pass
Add exemplary test case as it appears in the lowering of two subsequent `tf.Sub`
ops.

PiperOrigin-RevId: 366219139
2021-04-01 03:24:43 -07:00
A. Unique TensorFlower af3bc47a8b Integrate LLVM at llvm/llvm-project@8396aeb07c
Updates LLVM usage to match
[8396aeb07cdd](https://github.com/llvm/llvm-project/commit/8396aeb07cdd)

PiperOrigin-RevId: 366034463
2021-03-31 08:01:34 -07:00
A. Unique TensorFlower bbe0aa204c [MLIR][MHLO] Merge assuming ops with compatible witnesses
PiperOrigin-RevId: 366018349
2021-03-31 06:11:38 -07:00
Adrian Kuegel 4033a56750 Add special cases for SelectOp rank specialization.
We now use the same special cases for all ops with arity >= 2.
For binary ops, we now have only one special case if at least one of the
operands has exactly one element. In that case, we reshape both operands to
rank 1. Before, we had separate special cases whether the left-hand side
or the right-hand side have a scalar shape.

PiperOrigin-RevId: 366005835
2021-03-31 04:28:51 -07:00
A. Unique TensorFlower 9206805c58 [MLIR][MHLO] Do not yield results of ops that were moved out of assuming regions
When an op is moved out of an assuming region we already know statically that it
is independent of the assuming region. Hence, there is no need to yield its
results.

PiperOrigin-RevId: 366001405
2021-03-31 03:50:27 -07:00
A. Unique TensorFlower 8ade5d78c8 [MLIR][MHLO] Move `cstr_broadcastable` and `shape_of` out of `assuming` regions
Add pattern to move operations out of assuming op. This only valid for
constraint-independent ops, like `cstr_broadcastable` and `shape_of`. It will
eventually allow to make assuming regions' constraints independent from each
other so that they can be merged.

PiperOrigin-RevId: 365993145
2021-03-31 02:39:07 -07:00
A. Unique TensorFlower eade942635 [MLIR][MHLO] Add pattern to move ops into the assuming region
This will eventually allow to make assuming regions' constraints independent
from each other.

PiperOrigin-RevId: 365985081
2021-03-31 01:23:31 -07:00
Geoffrey Martin-Noble 5d65758e8c Canonicalize MHLO Case and If Ops with constant conditions
ReplaceOpWithRegion was taken directly from ScfOps. We should maybe put that somewhere common in core.

PiperOrigin-RevId: 365936724
2021-03-30 17:58:01 -07:00