#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"
}
}
using namespace mlir;
using namespace mlir::affine;
namespace {
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();
}
};
}
void mlir::affine::populateAffineExpandIndexOpsPatterns(
RewritePatternSet &patterns) {
patterns.insert<LowerDelinearizeIndexOps>(patterns.getContext());
}
std::unique_ptr<Pass> mlir::affine::createAffineExpandIndexOpsPass() {
return std::make_unique<ExpandAffineIndexOpsPass>();
}