67d0d7ac0a
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure. Reviewed By: mehdi_amini, rriddle Differential Review: https://reviews.llvm.org/D132838
104 lines
3.6 KiB
C++
104 lines
3.6 KiB
C++
//===- LinalgToLLVM.cpp - conversion from Linalg 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/LinalgToLLVM/LinalgToLLVM.h"
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#include "mlir/Conversion/AffineToStandard/AffineToStandard.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/LLVMCommon/TypeConverter.h"
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#include "mlir/Conversion/MemRefToLLVM/MemRefToLLVM.h"
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#include "mlir/Conversion/SCFToControlFlow/SCFToControlFlow.h"
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#include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
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#include "mlir/Conversion/VectorToSCF/VectorToSCF.h"
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#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/Dialect/Linalg/IR/Linalg.h"
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#include "mlir/Dialect/Linalg/Passes.h"
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#include "mlir/Dialect/SCF/IR/SCF.h"
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#include "mlir/IR/AffineExpr.h"
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#include "mlir/IR/AffineMap.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/Operation.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/IR/Types.h"
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#include "mlir/Support/LogicalResult.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/Passes.h"
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#include "llvm/ADT/SetVector.h"
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#include "llvm/IR/DerivedTypes.h"
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#include "llvm/IR/Module.h"
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#include "llvm/IR/Type.h"
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#include "llvm/Support/Allocator.h"
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#include "llvm/Support/ErrorHandling.h"
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namespace mlir {
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#define GEN_PASS_DEF_CONVERTLINALGTOLLVM
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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using namespace mlir::LLVM;
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using namespace mlir::linalg;
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template <typename T>
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static Type getPtrToElementType(T containerType, LLVMTypeConverter &lowering) {
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return LLVMPointerType::get(
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lowering.convertType(containerType.getElementType()));
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}
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namespace {
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// YieldOp produces and LLVM::ReturnOp.
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class YieldOpConversion : public ConvertOpToLLVMPattern<linalg::YieldOp> {
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public:
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using ConvertOpToLLVMPattern<linalg::YieldOp>::ConvertOpToLLVMPattern;
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LogicalResult
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matchAndRewrite(linalg::YieldOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override {
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rewriter.replaceOpWithNewOp<LLVM::ReturnOp>(op, adaptor.getOperands());
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return success();
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}
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};
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} // namespace
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/// Populate the given list with patterns that convert from Linalg to LLVM.
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void mlir::populateLinalgToLLVMConversionPatterns(LLVMTypeConverter &converter,
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RewritePatternSet &patterns) {
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patterns.add<YieldOpConversion>(converter);
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}
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namespace {
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struct ConvertLinalgToLLVMPass
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: public impl::ConvertLinalgToLLVMBase<ConvertLinalgToLLVMPass> {
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void runOnOperation() override;
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};
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} // namespace
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void ConvertLinalgToLLVMPass::runOnOperation() {
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auto module = getOperation();
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// Convert to the LLVM IR dialect using the converter defined above.
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RewritePatternSet patterns(&getContext());
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LLVMTypeConverter converter(&getContext());
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populateLinalgToLLVMConversionPatterns(converter, patterns);
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populateMemRefToLLVMConversionPatterns(converter, patterns);
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LLVMConversionTarget target(getContext());
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target.addLegalOp<ModuleOp>();
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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::createConvertLinalgToLLVMPass() {
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return std::make_unique<ConvertLinalgToLLVMPass>();
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}
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