cd4ca2d7f9
See https://github.com/llvm/llvm-project/issues/57475 for more context. Using auto-generated constructors and options has significant advantages: * It forces a uniform style and expectation for consuming a pass * It allows to very easily add, remove or change options to a pass by simply making the changes in TableGen * Its less code This patch in particular ports all the conversion passes which lower to LLVM to use the auto generated constructors and options. For the most part, care was taken so that auto generated constructor functions have the same name as they previously did. Only following slight breaking changes (which I consider as worth the churn) have been made: * `mlir::cf::createConvertControlFlowToLLVMPass` has been moved to the `mlir` namespace. This is consistent with basically all conversion passes * `createGpuToLLVMConversionPass` now takes a proper options struct array for its pass options. The pass options are now also autogenerated. * `LowerVectorToLLVMOptions` has been replaced by the autogenerated `ConvertVectorToLLVMPassOptions` which is automatically kept up to date by TableGen * I had to move one function in the GPU to LLVM lowering as it is used as default value for an option. * All passes that previously returned `unique_ptr<OperationPass<...>>` now simply return `unique_ptr<Pass>` Differential Revision: https://reviews.llvm.org/D143773
100 lines
3.5 KiB
C++
100 lines
3.5 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_CONVERTLINALGTOLLVMPASS
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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::ConvertLinalgToLLVMPassBase<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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populateFinalizeMemRefToLLVMConversionPatterns(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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