Transform interfaces are implemented, direction or via extensions, in
libraries belonging to multiple other dialects. Those dialects don't
need to depend on the non-interface part of the transform dialect, which
includes the growing number of ops and transitive dependency footprint.
Split out the interfaces into a separate library. This in turn requires
flipping the dependency from the interface on the dialect that has crept
in because both co-existed in one library. The interface shouldn't
depend on the transform dialect either.
As a consequence of splitting, the capability of the interpreter to
automatically walk the payload IR to identify payload ops of a certain
kind based on the type used for the entry point symbol argument is
disabled. This is a good move by itself as it simplifies the interpreter
logic. This functionality can be trivially replaced by a
`transform.structured.match` operation.
This is adding a new interface (`BytecodeOpInterface`) to allow operations to
opt-in skipping conversion to attribute and serializing properties to native
bytecode.
The scheme relies on a new section where properties are stored in sequence
{ size, serialize_properties }, ...
The operations are storing the index of a properties, a table of offset is
built when loading the properties section the first time.
This is a re-commit of 837d1ce0dc which conflicted with another patch upgrading
the bytecode and the collision wasn't properly resolved before.
Differential Revision: https://reviews.llvm.org/D151065
This reverts commit ca5a12fd69d4acf70c08f797cbffd714dd548348
and follow-up fixes:
df34c288c428eb4b867c8075def48b3d1727d60b
07dc906883af660780cf6d0cc1044f7e74dab83e
ab80ad0095083fda062c23ac90df84c40b4332c8
837d1ce0dc8eec5b17255291b3462e6296cb369b
The first commit was incomplete and broken, I'll prepare a new version
later, in the meantime pull this work out of tree.
This is adding a new interface (`BytecodeOpInterface`) to allow operations to
opt-in skipping conversion to attribute and serializing properties to native
bytecode.
The scheme relies on a new section where properties are stored in sequence
{ size, serialize_properties }, ...
The operations are storing the index of a properties, a table of offset is
built when loading the properties section the first time.
Back-deployment to version prior to 4 are relying on getAttrDictionnary() which
we intend to deprecate and remove: that is putting a de-factor end-of-support
horizon for supporting deployments to version older than 4.
Differential Revision: https://reviews.llvm.org/D151065
Add a new transform op combinator that implements an "if-then-else"
style of mechanism for applying transformations. Its main purpose is to
serve as a higher-level driver when applying multiple transform scripts
to potentially overlapping pieces of the payload IR. This is similar to
how the various rewrite drivers operate in C++, but at a higher level
and with more declarative expressions. This is not intended to replace
existing pattern-based rewrites, but to to drive more complex
transformations that are exposed in the transform dialect and are too
complex to be expressed as simple declarative rewrites.
Reviewed By: springerm
Differential Revision: https://reviews.llvm.org/D148013
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
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
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
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
