4 Commits

Author SHA1 Message Date
Alex Zinenko
ed02fa81fd [mlir] introduce parameters into the transofrm dialect
Introduce a new kind of values into the transform dialect -- parameter
values. These values have a type implementing the new
`TransformParamTypeInterface` and are associated with lists of
attributes rather than lists of payload operations. This mechanism
allows one to wrap numeric calculations, typically heuristics, into
transform operations separate from those at actually applying the
transformation. For example, tile size computation can be now separated
from tiling itself, and not hardcoded in the transform dialect. This
further improves the separation of concerns between transform choice and
implementation.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D140976
2023-01-06 12:23:29 +00:00
Alex Zinenko
bba85ebdfe [mlir] add types to the transform dialect
Introduce a type system for the transform dialect. A transform IR type
captures the expectations of the transform IR on the payload IR
operations that are being transformed, such as being of a certain kind
or implementing an interface that enables the transformation. This
provides stricter checking and better readability of the transform IR
than using the catch-all "handle" type.

This change implements the basic support for a type system amendable to
dialect extensions and adds a drop-in replacement for the unrestricted
"handle" type. The actual switch of transform dialect ops to that type
will happen in a separate commit.

See https://discourse.llvm.org/t/rfc-type-system-for-the-transform-dialect/65702

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D135164
2022-10-11 09:55:07 +00:00
Nicolas Vasilache
f439b31971 [mlir][Linalg] Split reduction transform op
This revision separates the `LinalgSplitReduction` pattern, whose application is based on attributes,
from its implementation.
A transform dialect op extension is added to control the application of the transformation at a finer granularity.

Differential Revision: https://reviews.llvm.org/D128165
2022-06-21 05:01:26 -07:00
Alex Zinenko
d064c4801c [mlir] Introduce Transform dialect
This dialect provides operations that can be used to control transformation of
the IR using a different portion of the IR. It refers to the IR being
transformed as payload IR, and to the IR guiding the transformation as
transform IR.

The main use case for this dialect is orchestrating fine-grain transformations
on individual operations or sets thereof. For example, it may involve finding
loop-like operations with specific properties (e.g., large size) in the payload
IR, applying loop tiling to those and only those operations, and then applying
loop unrolling to the inner loops produced by the previous transformations. As
such, it is not intended as a replacement for the pass infrastructure, nor for
the pattern rewriting infrastructure. In the most common case, the transform IR
will be processed and applied to payload IR by a pass. Transformations
expressed by the transform dialect may be implemented using the pattern
infrastructure or any other relevant MLIR component.

This dialect is designed to be extensible, that is, clients of this dialect are
allowed to inject additional operations into this dialect using the newly
introduced in this patch `TransformDialectExtension` mechanism. This allows the
dialect to avoid a dependency on the implementation of the transformation as
well as to avoid introducing dialect-specific transform dialects.

See https://discourse.llvm.org/t/rfc-interfaces-and-dialects-for-precise-ir-transformation-control/60927.

Reviewed By: nicolasvasilache, Mogball, rriddle

Differential Revision: https://reviews.llvm.org/D123135
2022-04-14 13:48:45 +02:00