llvm-project/mlir/lib/Dialect/Affine/Transforms/AffineLoopNormalize.cpp
Michele Scuttari 67d0d7ac0a
[MLIR] Update pass declarations to new autogenerated files
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure.

Reviewed By: mehdi_amini, rriddle

Differential Review: https://reviews.llvm.org/D132838
2022-08-31 12:28:45 +02:00

50 lines
1.6 KiB
C++

//===- AffineLoopNormalize.cpp - AffineLoopNormalize Pass -----------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This file implements a normalizer for affine loop-like ops.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/Passes.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/Utils.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
namespace mlir {
#define GEN_PASS_DEF_AFFINELOOPNORMALIZE
#include "mlir/Dialect/Affine/Passes.h.inc"
} // namespace mlir
using namespace mlir;
namespace {
/// Normalize affine.parallel ops so that lower bounds are 0 and steps are 1.
/// As currently implemented, this pass cannot fail, but it might skip over ops
/// that are already in a normalized form.
struct AffineLoopNormalizePass
: public impl::AffineLoopNormalizeBase<AffineLoopNormalizePass> {
void runOnOperation() override {
getOperation().walk([](Operation *op) {
if (auto affineParallel = dyn_cast<AffineParallelOp>(op))
normalizeAffineParallel(affineParallel);
else if (auto affineFor = dyn_cast<AffineForOp>(op))
(void)normalizeAffineFor(affineFor);
});
}
};
} // namespace
std::unique_ptr<OperationPass<func::FuncOp>>
mlir::createAffineLoopNormalizePass() {
return std::make_unique<AffineLoopNormalizePass>();
}