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.
All `apply` functions now have a `TransformRewriter &` parameter. This rewriter should be used to modify the IR. It has a `TrackingListener` attached and updates the internal handle-payload mappings based on rewrites.
Implementations no longer need to create their own `TrackingListener` and `IRRewriter`. Error checking is integrated into `applyTransform`. Tracking listener errors are reported only for ops with the `ReportTrackingListenerFailuresOpTrait` trait attached, allowing for a gradual migration. Furthermore, errors can be silenced with an op attribute.
Additional API will be added to `TransformRewriter` in subsequent revisions. This revision just adds an "empty" `TransformRewriter` class and updates all `apply` implementations.
Differential Revision: https://reviews.llvm.org/D152427
Update operations in Transform dialect extensions defined in the Affine,
GPU, MemRef and Tensor dialects to use the more generic
`TransformHandleTypeInterface` type constraint instead of hardcoding
`PDL_Operation`. See
https://discourse.llvm.org/t/rfc-type-system-for-the-transform-dialect/65702
for motivation.
Remove the dependency on PDLDialect from these extensions.
Update tests to use `!transform.any_op` instead of `!pdl.operation`.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D150781
Instead of returning an `ArrayRef<Operation *>`, return at iterator that skips ops that were erased/replaced while iterating over the payload ops.
This fixes an issue in conjuction with TrackingListener, where a tracked op was erased during the iteration. Elements may not be removed from an array while iterating over it; this invalidates the iterator.
When ops are erased/removed via `replacePayloadOp`, they are not immediately removed from the mappings data structure. Instead, they are set to `nullptr`. `nullptr`s are not enumerated by `getPayloadOps`. At the end of each transformation, `nullptr`s are removed from the mapping data structure.
Differential Revision: https://reviews.llvm.org/D149847
`BoundType` is no longer a nested member of `IntegerRelation` but a top-level enum in the `presburger` namespace.
This allows `BoundType` to be predeclared in header files. Nested members cannot be predeclared.
Differential Revision: https://reviews.llvm.org/D146210
`strictMode` is moved to GreedyRewriteConfig to simplify the API and state of rewriter classes. The region-based GreedyPatternRewriteDriver now also supports strict mode.
MultiOpPatternRewriteDriver becomes simpler: fewer method must be overridden.
Differential Revision: https://reviews.llvm.org/D142623
There are now three options:
* `AnyOp` (previously `false`)
* `ExistingAndNewOps` (previously `true`)
* `ExistingOps`: this one is new.
The last option corresponds to what the `applyOpPatternsAndFold(Operation*, ...)` overload is doing. It is now also supported on the `applyOpPatternsAndFold(ArrayRef<Operation *>, ...)` overload.
Differential Revision: https://reviews.llvm.org/D141904
All `apply...` functions now return a LogicalResult indicating whether the iterative process converged or not.
Differential Revision: https://reviews.llvm.org/D141845
This transform op uses `mlir::simplifyConstrainedMinMaxOp` to simplify `affine.min` and `affine.max` ops based on a given constraints.
Differential Revision: https://reviews.llvm.org/D140997
This patch consolidates the two transform ops from the affine dialect
and the scf dialect to avoid code duplication.
This is to address the review comments from
https://reviews.llvm.org/D137997.
The transform ops directory / file structure for the affine dialect is
kept for the purpose of forth-coming transform ops
for affine, but get_parent_for and unroll are removed.
Reviewed By: nicolasvasilache
Differential Revision: https://reviews.llvm.org/D138980
Create the directory and file structures to support transform ops for
the affine dialect in the future. Enable affine.unroll and affine.get_parent_for
transform operations in this first batch of check in.
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D137997
