forked from OSchip/llvm-project
88 lines
3.6 KiB
C++
88 lines
3.6 KiB
C++
//===- OpenMPToLLVM.cpp - conversion from OpenMP to LLVM dialect ----------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/OpenMPToLLVM/ConvertOpenMPToLLVM.h"
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#include "../PassDetail.h"
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#include "mlir/Conversion/ArithmeticToLLVM/ArithmeticToLLVM.h"
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#include "mlir/Conversion/ControlFlowToLLVM/ControlFlowToLLVM.h"
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#include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVM.h"
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#include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVMPass.h"
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#include "mlir/Conversion/LLVMCommon/ConversionTarget.h"
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#include "mlir/Conversion/LLVMCommon/Pattern.h"
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#include "mlir/Conversion/MemRefToLLVM/MemRefToLLVM.h"
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#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/Dialect/OpenMP/OpenMPDialect.h"
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using namespace mlir;
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namespace {
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/// A pattern that converts the region arguments in a single-region OpenMP
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/// operation to the LLVM dialect. The body of the region is not modified and is
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/// expected to either be processed by the conversion infrastructure or already
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/// contain ops compatible with LLVM dialect types.
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template <typename OpType>
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struct RegionOpConversion : public ConvertOpToLLVMPattern<OpType> {
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using ConvertOpToLLVMPattern<OpType>::ConvertOpToLLVMPattern;
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LogicalResult
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matchAndRewrite(OpType curOp, typename OpType::Adaptor adaptor,
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ConversionPatternRewriter &rewriter) const override {
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auto newOp = rewriter.create<OpType>(
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curOp.getLoc(), TypeRange(), adaptor.getOperands(), curOp->getAttrs());
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rewriter.inlineRegionBefore(curOp.region(), newOp.region(),
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newOp.region().end());
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if (failed(rewriter.convertRegionTypes(&newOp.region(),
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*this->getTypeConverter())))
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return failure();
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rewriter.eraseOp(curOp);
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return success();
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}
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};
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} // namespace
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void mlir::populateOpenMPToLLVMConversionPatterns(LLVMTypeConverter &converter,
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RewritePatternSet &patterns) {
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patterns.add<RegionOpConversion<omp::MasterOp>,
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RegionOpConversion<omp::ParallelOp>,
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RegionOpConversion<omp::WsLoopOp>>(converter);
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}
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namespace {
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struct ConvertOpenMPToLLVMPass
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: public ConvertOpenMPToLLVMBase<ConvertOpenMPToLLVMPass> {
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void runOnOperation() override;
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};
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} // namespace
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void ConvertOpenMPToLLVMPass::runOnOperation() {
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auto module = getOperation();
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// Convert to OpenMP operations with LLVM IR dialect
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RewritePatternSet patterns(&getContext());
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LLVMTypeConverter converter(&getContext());
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arith::populateArithmeticToLLVMConversionPatterns(converter, patterns);
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cf::populateControlFlowToLLVMConversionPatterns(converter, patterns);
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populateMemRefToLLVMConversionPatterns(converter, patterns);
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populateFuncToLLVMConversionPatterns(converter, patterns);
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populateOpenMPToLLVMConversionPatterns(converter, patterns);
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LLVMConversionTarget target(getContext());
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target.addDynamicallyLegalOp<omp::MasterOp, omp::ParallelOp, omp::WsLoopOp>(
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[&](Operation *op) { return converter.isLegal(&op->getRegion(0)); });
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target.addLegalOp<omp::TerminatorOp, omp::TaskyieldOp, omp::FlushOp,
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omp::BarrierOp, omp::TaskwaitOp>();
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if (failed(applyPartialConversion(module, target, std::move(patterns))))
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signalPassFailure();
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}
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std::unique_ptr<OperationPass<ModuleOp>> mlir::createConvertOpenMPToLLVMPass() {
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return std::make_unique<ConvertOpenMPToLLVMPass>();
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}
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