//===- PDLDialect.td - PDL dialect definition --------------*- tablegen -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// Defines the MLIR PDL dialect.
//
//===----------------------------------------------------------------------===//
#ifndef MLIR_DIALECT_PDL_IR_PDLDIALECT
#define MLIR_DIALECT_PDL_IR_PDLDIALECT
include "mlir/IR/OpBase.td"
//===----------------------------------------------------------------------===//
// PDL Dialect
//===----------------------------------------------------------------------===//
def PDL_Dialect : Dialect {
let summary = "High level pattern definition dialect";
let description = [{
PDL presents a high level abstraction for the rewrite pattern infrastructure
available in MLIR. This abstraction allows for representing patterns
transforming MLIR, as MLIR. This allows for applying all of the benefits
that the general MLIR infrastructure provides, to the infrastructure itself.
This means that pattern matching can be more easily verified for
correctness, targeted by frontends, and optimized.
PDL abstracts over various different aspects of patterns and core MLIR data
structures. Patterns are specified via a `pdl.pattern` operation. These
operations contain a region body for the "matcher" code, and terminate with
a `pdl.rewrite` that either dispatches to an external rewriter or contains
a region for the rewrite specified via `pdl`. The types of values in `pdl`
are handle types to MLIR C++ types, with `!pdl.attribute`, `!pdl.operation`,
`!pdl.value`, and `!pdl.type` directly mapping to `mlir::Attribute`,
`mlir::Operation*`, `mlir::Value`, and `mlir::Type` respectively.
An example pattern is shown below:
```mlir
// pdl.pattern contains metadata similarly to a `RewritePattern`.
pdl.pattern : benefit(1) {
// External input operand values are specified via `pdl.operand` operations.
// Result types are constrainted via `pdl.type` operations.
%resultType = pdl.type
%inputOperand = pdl.operand
%root = pdl.operation "foo.op"(%inputOperand) -> %resultType
pdl.rewrite %root {
pdl.replace %root with (%inputOperand)
}
}
```
The above pattern simply replaces an operation with its first operand. Note
how the input operation is specified structurally, similarly to how it would
look in memory. This is a simple example and pdl provides support for many
other features such as applying external constraints or external generator
methods. These features and more are detailed below.
}];
let name = "pdl";
let cppNamespace = "::mlir::pdl";
let useDefaultTypePrinterParser = 1;
let extraClassDeclaration = [{
void registerTypes();
}];
}
#endif // MLIR_DIALECT_PDL_IR_PDLDIALECT