1 | //===- SwapExtractSliceWithFillPatterns.cpp -------------------------------===// |
---|---|
2 | // |
3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
4 | // See https://llvm.org/LICENSE.txt for license information. |
5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
6 | // |
7 | //===----------------------------------------------------------------------===// |
8 | |
9 | #include "mlir/Dialect/Linalg/Transforms/Transforms.h" |
10 | #include "mlir/IR/PatternMatch.h" |
11 | |
12 | using namespace mlir; |
13 | using namespace mlir::linalg; |
14 | |
15 | /// swaps: |
16 | /// `tensor.extract_slice(linalg.fill(%cst, %init))` |
17 | /// with: |
18 | /// `linalg.fill(%cst, tensor.extract_slice(%init))` |
19 | /// |
20 | /// when the linalg.fill op have no other users. |
21 | /// This helps to reduce the fill footprint. |
22 | struct SwapExtractSliceOfFill final |
23 | : public OpRewritePattern<tensor::ExtractSliceOp> { |
24 | using OpRewritePattern::OpRewritePattern; |
25 | |
26 | LogicalResult matchAndRewrite(tensor::ExtractSliceOp extractOp, |
27 | PatternRewriter &rewriter) const override { |
28 | auto fillOp = extractOp.getSource().getDefiningOp<FillOp>(); |
29 | if (!fillOp || !fillOp->hasOneUse()) |
30 | return failure(); |
31 | |
32 | auto newExtractOp = rewriter.create<tensor::ExtractSliceOp>( |
33 | extractOp.getLoc(), extractOp.getType(), fillOp.getOutputs()[0], |
34 | extractOp.getMixedOffsets(), extractOp.getMixedSizes(), |
35 | extractOp.getMixedStrides()); |
36 | rewriter.replaceOpWithNewOp<FillOp>(extractOp, fillOp.getInputs(), |
37 | ValueRange{newExtractOp.getResult()}); |
38 | return success(); |
39 | } |
40 | }; |
41 | |
42 | void mlir::linalg::populateSwapExtractSliceWithFillPatterns( |
43 | RewritePatternSet &patterns) { |
44 | patterns.add<SwapExtractSliceOfFill>(arg: patterns.getContext()); |
45 | } |
46 |