Commit Graph

17 Commits

Author SHA1 Message Date
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
98835e3d98 [mlir][Linalg] Enable TileAndFusePattern to work with tensors.
Differential Revision: https://reviews.llvm.org/D94531
2021-01-28 14:13:01 -08:00
Nicolas Vasilache
299cc5da6d [mlir][Linalg] Further improve codegen strategy and add a linalg.matmul_i8_i8_i32
This revision adds a layer of SFINAE to the composable codegen strategy so it does
not have to require statically defined ops but instead can also be used with OpInterfaces, Operation* and an op name string.

A linalg.matmul_i8_i8_i32 is added to the .tc spec to demonstrate how all this works end to end.

Differential Revision: https://reviews.llvm.org/D95600
2021-01-28 13:02:42 +00:00
MaheshRavishankar
01defcc8d7 [mlir][Linalg] Extend tile+fuse to work on Linalg operation on tensors.
Differential Revision: https://reviews.llvm.org/D93086
2021-01-22 11:33:35 -08:00
Nicolas Vasilache
80f0785488 [mlir][Linalg] NFC - Refactor fusion APIs
This revision uniformizes fusion APIs to allow passing OpOperand, OpResult and adds a finer level of control fusion.

Differential Revision: https://reviews.llvm.org/D94493
2021-01-12 14:27:15 +00:00
Christian Sigg
0bf4a82a5a [mlir] Use mlir::OpState::operator->() to get to methods of mlir::Operation. This is a preparation step to remove the corresponding methods from OpState.
Reviewed By: silvas, rriddle

Differential Revision: https://reviews.llvm.org/D92878
2020-12-09 12:11:32 +01:00
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
MaheshRavishankar
e65a5e5b00 [mlir][Linalg] Fuse sequence of Linalg operation (on buffers)
Enhance the tile+fuse logic to allow fusing a sequence of operations.

Make sure the value used to obtain tile shape is a
SubViewOp/SubTensorOp. Current logic used to get the bounds of loop
depends on the use of `getOrCreateRange` method on `SubViewOp` and
`SubTensorOp`. Make sure that the value/dim used to compute the range
is from such ops.  This fix is a reasonable WAR, but a btter fix would
be to make `getOrCreateRange` method be a method of `ViewInterface`.

Differential Revision: https://reviews.llvm.org/D90991
2020-11-23 10:30:51 -08:00
Mikhail Goncharov
0caa82e2ac Revert "[mlir][Linalg] Fuse sequence of Linalg operation (on buffers)"
This reverts commit f8284d21a8.

Revert "[mlir][Linalg] NFC: Expose some utility functions used for promotion."

This reverts commit 0c59f51592.

Revert "Remove unused isZero function"

This reverts commit 0f9f0a4046.

Change f8284d21 led to multiple failures in IREE compilation.
2020-11-20 13:12:54 +01:00
MaheshRavishankar
f8284d21a8 [mlir][Linalg] Fuse sequence of Linalg operation (on buffers)
Enhance the tile+fuse logic to allow fusing a sequence of operations.

Differential Revision: https://reviews.llvm.org/D90991
2020-11-19 19:03:06 -08:00
MaheshRavishankar
bf3861bf71 [mlir][Linalg] Change LinalgDependenceGraph to use LinalgOp.
Using LinalgOp will reduce the repeated conversion from Operation <->
LinalgOp.

Differential Revision: https://reviews.llvm.org/D91101
2020-11-13 12:34:38 -08:00
MaheshRavishankar
5ca20851e4 [mlir][Linalg] Improve the logic to perform tile and fuse with better dependence tracking.
This change does two main things
1) An operation might have multiple dependences to the same
   producer. Not tracking them correctly can result in incorrect code
   generation with fusion. To rectify this the dependence tracking
   needs to also have the operand number in the consumer.
2) Improve the logic used to find the fused loops making it easier to
   follow. The only constraint for fusion is that linalg ops (on
   buffers) have update semantics for the result. Fusion should be
   such that only one iteration of the fused loop (which is also a
   tiled loop) must touch only one (disjoint) tile of the output. This
   could be relaxed by allowing for recomputation that is the default
   when oeprands are tensors, or can be made legal with promotion of
   the fused view (in future).

Differential Revision: https://reviews.llvm.org/D90579
2020-11-12 00:25:24 -08:00
Alexander Belyaev
72c65b698e [mlir] Move TestDialect and its passes to mlir::test namespace.
TestDialect has many operations and they all live in ::mlir namespace.
Sometimes it is not clear whether the ops used in the code for the test passes
belong to Standard or to Test dialects.

Also, with this change it is easier to understand what test passes registered
in mlir-opt are actually passes in mlir/test.

Differential Revision: https://reviews.llvm.org/D90794
2020-11-05 15:29:15 +01:00
Nicolas Vasilache
9b17bf2e54 [mlir][Linalg] Make Linalg fusion a test pass
Linalg "tile-and-fuse" is currently exposed as a Linalg pass "-linalg-fusion" but only the mechanics of the transformation are currently relevant.
Instead turn it into a "-test-linalg-greedy-fusion" pass which performs canonicalizations to enable more fusions to compose.
This allows dropping the OperationFolder which is not meant to be used with the pattern rewrite infrastructure.

Differential Revision: https://reviews.llvm.org/D90394
2020-10-29 15:18:51 +00:00
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
c694588fc5 [mlir][Linalg] Add pattern to tile and fuse Linalg operations on buffers.
The pattern is structured similar to other patterns like
LinalgTilingPattern. The fusion patterns takes options that allows you
to fuse with producers of multiple operands at once.
- The pattern fuses only at the level that is known to be legal, i.e
  if a reduction loop in the consumer is tiled, then fusion should
  happen "before" this loop. Some refactoring of the fusion code is
  needed to fuse only where it is legal.
- Since the fusion on buffers uses the LinalgDependenceGraph that is
  not mutable in place the fusion pattern keeps the original
  operations in the IR, but are tagged with a marker that can be later
  used to find the original operations.

This change also fixes an issue with tiling and
distribution/interchange where if the tile size of a loop were 0 it
wasnt account for in these.

Differential Revision: https://reviews.llvm.org/D88435
2020-09-30 14:56:58 -07:00