Commit Graph

16 Commits

Author SHA1 Message Date
Tres Popp
c2c83e97c3 Revert "Revert "Reorder MLIRContext location in BuiltinAttributes.h""
This reverts commit 511dd4f438 along with
a couple fixes.

Original message:
Now the context is the first, rather than the last input.

This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.

Phabricator: https://reviews.llvm.org/D96111
2021-02-08 10:39:58 +01:00
Tres Popp
511dd4f438 Revert "Reorder MLIRContext location in BuiltinAttributes.h"
This reverts commit 7827753f98.
2021-02-08 09:32:42 +01:00
Tres Popp
7827753f98 Reorder MLIRContext location in BuiltinAttributes.h
Now the context is the first, rather than the last input.

This better matches the rest of the infrastructure and makes
it easier to move these types to being declaratively specified.

Differential Revision: https://reviews.llvm.org/D96111
2021-02-08 09:28:09 +01:00
River Riddle
e21adfa32d [mlir] Mark LogicalResult as LLVM_NODISCARD
This makes ignoring a result explicit by the user, and helps to prevent accidental errors with dropped results. Marking LogicalResult as no discard was always the intention from the beginning, but got lost along the way.

Differential Revision: https://reviews.llvm.org/D95841
2021-02-04 15:10:10 -08:00
MaheshRavishankar
430d43e010 [mlir][Linalg] Disable fusion of tensor_reshape op by expansion when unit-dims are involved
Fusion of generic/indexed_generic operations with tensor_reshape by
expansion when the latter just adds/removes unit-dimensions is
disabled since it just adds unit-trip count loops.

Differential Revision: https://reviews.llvm.org/D94626
2021-01-22 12:55:25 -08:00
nicolasvasilache
b7ae1d3d2b [mlir][Linalg] Revisit the Linalg on tensors abstraction
This revision drops init_tensor arguments from Linalg on tensors and instead uniformizes the output buffers and output tensors to be consistent.
This significantly simplifies the usage of Linalg on tensors and is a stepping stone for
its evolution towards a mixed tensor and shape abstraction discussed in https://llvm.discourse.group/t/linalg-and-shapes/2421/19.

Differential Revision: https://reviews.llvm.org/D93469
2020-12-21 12:29:10 -08:00
Christian Sigg
c4a0405902 Add Operation* OpState::operator->() to provide more convenient access to members of Operation.
Given that OpState already implicit converts to Operator*, this seems reasonable.

The alternative would be to add more functions to OpState which forward to Operation.

Reviewed By: rriddle, ftynse

Differential Revision: https://reviews.llvm.org/D92266
2020-12-02 15:46:20 +01:00
mikeurbach
2e36e0dad5 [MLIR] Move eraseArguments and eraseResults to FunctionLike
Previously, they were only defined for `FuncOp`.

To support this, `FunctionLike` needs a way to get an updated type
from the concrete operation. This adds a new hook for that purpose,
called `getTypeWithoutArgsAndResults`.

For now, `FunctionLike` continues to assume the type is
`FunctionType`, and concrete operations that use another type can hide
the `getType`, `setType`, and `getTypeWithoutArgsAndResults` methods.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D90363
2020-11-03 16:53:46 -07:00
River Riddle
3fffffa882 [mlir][Pattern] Add a new FrozenRewritePatternList class
This class represents a rewrite pattern list that has been frozen, and thus immutable. This replaces the uses of OwningRewritePatternList in pattern driver related API, such as dialect conversion. When PDL becomes more prevalent, this API will allow for optimizing a set of patterns once without the need to do this per run of a pass.

Differential Revision: https://reviews.llvm.org/D89104
2020-10-26 18:01:06 -07:00
River Riddle
b6eb26fd0e [mlir][NFC] Move around the code related to PatternRewriting to improve layering
There are several pieces of pattern rewriting infra in IR/ that really shouldn't be there. This revision moves those pieces to a better location such that they are easier to evolve in the future(e.g. with PDL). More concretely this revision does the following:

* Create a Transforms/GreedyPatternRewriteDriver.h and move the apply*andFold methods there.
The definitions for these methods are already in Transforms/ so it doesn't make sense for the declarations to be in IR.

* Create a new lib/Rewrite library and move PatternApplicator there.
This new library will be focused on applying rewrites, and will also include compiling rewrites with PDL.

Differential Revision: https://reviews.llvm.org/D89103
2020-10-26 18:01:06 -07:00
MaheshRavishankar
78f37b74da [mlir][Linalg] Miscalleneous enhancements to cover more fusion cases.
Adds support for
- Dropping unit dimension loops for indexed_generic ops.
- Folding consecutive folding (or expanding) reshapes when the result
  (or src) is a scalar.
- Fixes to indexed_generic -> generic fusion when zero-dim tensors are
  involved.

Differential Revision: https://reviews.llvm.org/D90118
2020-10-26 16:17:24 -07:00
Mahesh Ravishankar
892fdc923f [mlir][Linalg] Generalize the logic to compute reassociation maps
while folding tensor_reshape op.

While folding reshapes that introduce unit extent dims, the logic to
compute the reassociation maps can be generalized to handle some
corner cases, for example, when the folded shape still has unit-extent
dims but corresponds to folded unit extent dims of the expanded shape.

Differential Revision: https://reviews.llvm.org/D88521
2020-09-30 07:58:06 -07:00
MaheshRavishankar
b62f9f4407 [mlir][Linalg] Add pattern to fold linalg.tensor_reshape that add unit extent dims.
A sequence of two reshapes such that one of them is just adding unit
extent dims can be folded to a single reshape.

Differential Revision: https://reviews.llvm.org/D88057
2020-09-23 00:01:58 -07:00
Nicolas Vasilache
ed229132f1 [mlir][Linalg] Uniformize linalg.generic with named ops.
This revision allows representing a reduction at the level of linalg on tensors for generic ops by uniformizing with the named ops approach.
2020-09-22 04:13:22 -04:00
Jakub Lichman
f9c8febc52 [mlir] Added support for symbols inside linalg.generic and map concatenation
This commit adds functionality needed for implementation of convolutions with
linalg.generic op. Since linalg.generic right now expects indexing maps to be
just permutations, offset indexing needed in convolutions is not possible.
Therefore in this commit we address the issue by adding support for symbols inside
indexing maps which enables more advanced indexing. The upcoming commit will
solve the problem of computing loop bounds from such maps.

Differential Revision: https://reviews.llvm.org/D83158
2020-07-20 19:20:47 +02:00
MaheshRavishankar
2b0c8546ac [mlir][Linalg] Add pass to remove unit-extent dims from tensor
operands of Generic ops.

Unit-extent dimensions are typically used for achieving broadcasting
behavior. The pattern added (along with canonicalization patterns
added previously) removes the use of unit-extent dimensions, and
instead uses a more canonical representation of the computation.  This
new pattern is not added as a canonicalization for now since it
entails adding additional reshape operations. A pass is added to
exercise these patterns, along with an API entry to populate a
patterns list with these patterns.

Differential Revision: https://reviews.llvm.org/D79766
2020-05-28 11:06:47 -07:00