SwapExtractSliceWithFillPatterns.cpp

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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 = rewriter.create<tensor::ExtractSliceOp>(
        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());
}