bolt/deps/llvm-18.1.8/mlir/lib/Dialect/Affine/Transforms/AffineExpandIndexOps.cpp
2025-02-14 19:21:04 +01:00

72 lines
2.4 KiB
C++

//===- AffineExpandIndexOps.cpp - Affine expand index ops 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 pass to expand affine index ops into one or more more
// fundamental operations.
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Affine/Passes.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Affine/Transforms/Transforms.h"
#include "mlir/Dialect/Affine/Utils.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
namespace mlir {
namespace affine {
#define GEN_PASS_DEF_AFFINEEXPANDINDEXOPS
#include "mlir/Dialect/Affine/Passes.h.inc"
} // namespace affine
} // namespace mlir
using namespace mlir;
using namespace mlir::affine;
namespace {
/// Lowers `affine.delinearize_index` into a sequence of division and remainder
/// operations.
struct LowerDelinearizeIndexOps
: public OpRewritePattern<AffineDelinearizeIndexOp> {
using OpRewritePattern<AffineDelinearizeIndexOp>::OpRewritePattern;
LogicalResult matchAndRewrite(AffineDelinearizeIndexOp op,
PatternRewriter &rewriter) const override {
FailureOr<SmallVector<Value>> multiIndex =
delinearizeIndex(rewriter, op->getLoc(), op.getLinearIndex(),
llvm::to_vector(op.getBasis()));
if (failed(multiIndex))
return failure();
rewriter.replaceOp(op, *multiIndex);
return success();
}
};
class ExpandAffineIndexOpsPass
: public affine::impl::AffineExpandIndexOpsBase<ExpandAffineIndexOpsPass> {
public:
ExpandAffineIndexOpsPass() = default;
void runOnOperation() override {
MLIRContext *context = &getContext();
RewritePatternSet patterns(context);
populateAffineExpandIndexOpsPatterns(patterns);
if (failed(
applyPatternsAndFoldGreedily(getOperation(), std::move(patterns))))
return signalPassFailure();
}
};
} // namespace
void mlir::affine::populateAffineExpandIndexOpsPatterns(
RewritePatternSet &patterns) {
patterns.insert<LowerDelinearizeIndexOps>(patterns.getContext());
}
std::unique_ptr<Pass> mlir::affine::createAffineExpandIndexOpsPass() {
return std::make_unique<ExpandAffineIndexOpsPass>();
}