| 1 | //===- MPIOps.cpp - MPI dialect ops implementation ------------------------===// |
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| 2 | // |
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| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
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| 4 | // See https://llvm.org/LICENSE.txt for license information. |
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| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
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| 6 | // |
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| 7 | //===----------------------------------------------------------------------===// |
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| 8 | |
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| 9 | #include "mlir/Dialect/MPI/IR/MPI.h" |
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| 10 | #include "mlir/Dialect/MemRef/IR/MemRef.h" |
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| 11 | #include "mlir/IR/Builders.h" |
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| 12 | #include "mlir/IR/BuiltinAttributes.h" |
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| 13 | #include "mlir/IR/PatternMatch.h" |
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| 14 | |
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| 15 | using namespace mlir; |
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| 16 | using namespace mlir::mpi; |
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| 17 | |
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| 18 | namespace { |
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| 19 | |
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| 20 | // If input memref has dynamic shape and is a cast and if the cast's input has |
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| 21 | // static shape, fold the cast's static input into the given operation. |
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| 22 | template <typename OpT> |
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| 23 | struct FoldCast final : public mlir::OpRewritePattern<OpT> { |
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| 24 | using mlir::OpRewritePattern<OpT>::OpRewritePattern; |
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| 25 | |
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| 26 | LogicalResult matchAndRewrite(OpT op, |
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| 27 | mlir::PatternRewriter &b) const override { |
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| 28 | auto mRef = op.getRef(); |
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| 29 | if (mRef.getType().hasStaticShape()) { |
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| 30 | return mlir::failure(); |
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| 31 | } |
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| 32 | auto defOp = mRef.getDefiningOp(); |
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| 33 | if (!defOp || !mlir::isa<mlir::memref::CastOp>(defOp)) { |
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| 34 | return mlir::failure(); |
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| 35 | } |
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| 36 | auto src = mlir::cast<mlir::memref::CastOp>(defOp).getSource(); |
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| 37 | if (!src.getType().hasStaticShape()) { |
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| 38 | return mlir::failure(); |
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| 39 | } |
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| 40 | op.getRefMutable().assign(src); |
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| 41 | return mlir::success(); |
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| 42 | } |
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| 43 | }; |
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| 44 | } // namespace |
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| 45 | |
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| 46 | void mlir::mpi::SendOp::getCanonicalizationPatterns( |
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| 47 | mlir::RewritePatternSet &results, mlir::MLIRContext *context) { |
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| 48 | results.add<FoldCast<mlir::mpi::SendOp>>(context); |
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| 49 | } |
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| 50 | |
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| 51 | void mlir::mpi::RecvOp::getCanonicalizationPatterns( |
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| 52 | mlir::RewritePatternSet &results, mlir::MLIRContext *context) { |
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| 53 | results.add<FoldCast<mlir::mpi::RecvOp>>(context); |
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| 54 | } |
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| 55 | |
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| 56 | void mlir::mpi::ISendOp::getCanonicalizationPatterns( |
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| 57 | mlir::RewritePatternSet &results, mlir::MLIRContext *context) { |
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| 58 | results.add<FoldCast<mlir::mpi::ISendOp>>(context); |
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| 59 | } |
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| 60 | |
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| 61 | void mlir::mpi::IRecvOp::getCanonicalizationPatterns( |
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| 62 | mlir::RewritePatternSet &results, mlir::MLIRContext *context) { |
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| 63 | results.add<FoldCast<mlir::mpi::IRecvOp>>(context); |
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| 64 | } |
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| 65 | |
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| 66 | //===----------------------------------------------------------------------===// |
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| 67 | // TableGen'd op method definitions |
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| 68 | //===----------------------------------------------------------------------===// |
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| 69 | |
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| 70 | #define GET_OP_CLASSES |
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| 71 | #include "mlir/Dialect/MPI/IR/MPIOps.cpp.inc" |
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| 72 | |
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