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//===- SwapExtractSliceWithFillPatterns.cpp -------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
#include "mlir/IR/PatternMatch.h"
using namespace mlir;
using namespace mlir::linalg;
/// swaps:
/// `tensor.extract_slice(linalg.fill(%cst, %init))`
/// with:
/// `linalg.fill(%cst, tensor.extract_slice(%init))`
///
/// when the linalg.fill op have no other users.
/// This helps to reduce the fill footprint.
struct SwapExtractSliceOfFill final
: public OpRewritePattern<tensor::ExtractSliceOp> {
using OpRewritePattern::OpRewritePattern;
LogicalResult matchAndRewrite(tensor::ExtractSliceOp extractOp,
PatternRewriter &rewriter) const override {
auto fillOp = extractOp.getSource().getDefiningOp<FillOp>();
if (!fillOp || !fillOp->hasOneUse())
return failure();
auto newExtractOp = tensor::ExtractSliceOp::create(
rewriter, extractOp.getLoc(), extractOp.getType(),
fillOp.getOutputs()[0], extractOp.getMixedOffsets(),
extractOp.getMixedSizes(), extractOp.getMixedStrides());
rewriter.replaceOpWithNewOp<FillOp>(extractOp, fillOp.getInputs(),
ValueRange{newExtractOp.getResult()});
return success();
}
};
void mlir::linalg::populateSwapExtractSliceWithFillPatterns(
RewritePatternSet &patterns) {
patterns.add<SwapExtractSliceOfFill>(patterns.getContext());
}
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