This commit introduces a generic dialect conversion/lowering/legalization pass and illustrates it on StandardOps->LLVMIR conversion. It partially reuses the PatternRewriter infrastructure and adds the following functionality: - an actual pass; - non-default pattern constructors; - one-to-many rewrites; - rewriting terminators with successors; - not applying patterns iteratively (unlike the existing greedy rewrite driver); - ability to change function signature; - ability to change basic block argument types. The latter two things required, given the existing API, to create new functions in the same module. Eventually, this should converge with the rest of PatternRewriter. However, we may want to keep two pass versions: "heavy" with function/block argument conversion and "light" that only touches operations. This pass creates new functions within a module as a means to change function signature, then creates new blocks with converted argument types in the new function. Then, it traverses the CFG in DFS-preorder to make sure defs are converted before uses in the dominated blocks. The generic pass has a minimal interface with two hooks: one to fill in the set of patterns, and another one to convert types for functions and blocks. The patterns are defined as separate classes that can be table-generated in the future. The LLVM IR lowering pass partially inherits from the existing LLVM IR translator, in particular for type conversion. It defines a conversion pattern template, instantiated for different operations, and is a good candidate for tablegen. The lowering does not yet support loads and stores and is not connected to the translator as it would have broken the existing flows. Future patches will add missing support before switching the translator in a single patch. PiperOrigin-RevId: 230951202
573 lines
21 KiB
C++
573 lines
21 KiB
C++
//===- ConvertToLLVMDialect.cpp - MLIR to LLVM dialect conversion ---------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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//
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// This file implements a pass to convert MLIR standard and builtin dialects
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// into the LLVM IR dialect.
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//
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//===----------------------------------------------------------------------===//
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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/MLIRContext.h"
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#include "mlir/IR/Module.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/LLVMIR/LLVMDialect.h"
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#include "mlir/Pass.h"
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#include "mlir/StandardOps/StandardOps.h"
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#include "mlir/Support/Functional.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/Passes.h"
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#include "mlir/Transforms/Utils.h"
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#include "llvm/IR/IRBuilder.h"
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#include "llvm/IR/Type.h"
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using namespace mlir;
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namespace {
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// Type converter for the LLVM IR dialect. Converts MLIR standard and builtin
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// types into equivalent LLVM IR dialect types.
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class TypeConverter {
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public:
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// Convert one type `t ` and register it in the `llvmModule`. The latter may
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// be used to extract information specific to the data layout.
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// Dispatches to the private functions below based on the actual type.
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static Type convert(Type t, llvm::Module &llvmModule);
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// Convert a non-empty list of types to an LLVM IR dialect type wrapping an
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// LLVM IR structure type, elements of which are formed by converting
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// individual types in the given list. Register the type in the `llvmModule`.
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// The module may be also used to query the data layout.
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static Type pack(ArrayRef<Type> types, llvm::Module &llvmModule,
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MLIRContext &context);
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private:
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// Construct a type converter.
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explicit TypeConverter(llvm::Module &llvmModule, MLIRContext *context)
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: module(llvmModule), llvmContext(llvmModule.getContext()),
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builder(llvmModule.getContext()), mlirContext(context) {}
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// Convert a function type. The arguments and results are converted one by
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// one. Additionally, if the function returns more than one value, pack the
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// results into an LLVM IR structure type so that the converted function type
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// returns at most one result.
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FunctionType convertFunctionType(FunctionType type);
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// Convert the index type. Uses llvmModule data layout to create an integer
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// of the pointer bitwidth.
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Type convertIndexType(IndexType type);
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// Convert an integer type `i*` to `!llvm<"i*">`.
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Type convertIntegerType(IntegerType type);
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// Convert a floating point type: `f16` to `!llvm<"half">`, `f32` to
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// `!llvm<"float">` and `f64` to `!llvm<"double">`. `bf16` is not supported
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// by LLVM.
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Type convertFloatType(FloatType type);
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// Convert a memref type into an LLVM structure type with:
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// 1. a pointer to the memref element type
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// 2. as many index types as memref has dynamic dimensions.
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Type convertMemRefType(MemRefType type);
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// Convert a 1D vector type into an LLVM vector type.
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Type convertVectorType(VectorType type);
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// Convert a non-empty list of types into an LLVM structure type containing
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// those types. If the list contains a single element, convert the element
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// directly.
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Type getPackedResultType(ArrayRef<Type> types);
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// Convert a type to the LLVM IR dialect. Returns a null type in case of
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// error.
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Type convertType(Type type);
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// Get the LLVM representation of the index type based on the bitwidth of the
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// pointer as defined by the data layout of the module.
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llvm::IntegerType *getIndexType();
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// Wrap the given LLVM IR type into an LLVM IR dialect type.
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Type wrap(llvm::Type *llvmType) {
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return LLVM::LLVMType::get(mlirContext, llvmType);
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}
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// Extract an LLVM IR type from the LLVM IR dialect type.
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llvm::Type *unwrap(Type type) {
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if (!type)
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return nullptr;
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auto wrappedLLVMType = type.dyn_cast<LLVM::LLVMType>();
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if (!wrappedLLVMType)
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return mlirContext->emitError(UnknownLoc::get(mlirContext),
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"conversion resulted in a non-LLVM type"),
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nullptr;
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return wrappedLLVMType.getUnderlyingType();
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}
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llvm::Module &module;
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llvm::LLVMContext &llvmContext;
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llvm::IRBuilder<> builder;
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MLIRContext *mlirContext;
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};
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} // end anonymous namespace
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llvm::IntegerType *TypeConverter::getIndexType() {
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return builder.getIntNTy(module.getDataLayout().getPointerSizeInBits());
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}
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Type TypeConverter::convertIndexType(IndexType type) {
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return wrap(getIndexType());
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}
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Type TypeConverter::convertIntegerType(IntegerType type) {
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return wrap(builder.getIntNTy(type.getWidth()));
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}
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Type TypeConverter::convertFloatType(FloatType type) {
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MLIRContext *context = type.getContext();
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switch (type.getKind()) {
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case mlir::StandardTypes::F32:
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return wrap(builder.getFloatTy());
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case mlir::StandardTypes::F64:
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return wrap(builder.getDoubleTy());
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case mlir::StandardTypes::F16:
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return wrap(builder.getHalfTy());
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case mlir::StandardTypes::BF16:
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return context->emitError(UnknownLoc::get(context),
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"unsupported type: BF16"),
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Type();
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default:
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llvm_unreachable("non-float type in convertFloatType");
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}
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}
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// If `types` has more than one type, pack them into an LLVM StructType,
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// otherwise just convert the type.
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Type TypeConverter::getPackedResultType(ArrayRef<Type> types) {
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// We don't convert zero-valued functions to one-valued functions returning
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// void yet.
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assert(!types.empty() && "empty type list");
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// Convert result types one by one and check for errors.
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SmallVector<llvm::Type *, 8> resultTypes;
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for (auto t : types) {
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llvm::Type *converted = unwrap(convertType(t));
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if (!converted)
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return {};
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resultTypes.push_back(converted);
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}
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// LLVM does not support tuple returns. If there are more than 2 results,
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// pack them into an LLVM struct type.
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if (resultTypes.size() == 1)
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return wrap(resultTypes.front());
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return wrap(llvm::StructType::get(llvmContext, resultTypes));
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}
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// Function types are converted to LLVM Function types by recursively converting
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// argument and result types. If MLIR Function has zero results, the LLVM
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// Function has one VoidType result. If MLIR Function has more than one result,
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// they are into an LLVM StructType in their order of appearance.
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FunctionType TypeConverter::convertFunctionType(FunctionType type) {
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// Convert argument types one by one and check for errors.
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SmallVector<Type, 8> argTypes;
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for (auto t : type.getInputs()) {
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auto converted = convertType(t);
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if (!converted)
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return {};
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argTypes.push_back(converted);
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}
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// If function does not return anything, return immediately.
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if (type.getNumResults() == 0)
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return FunctionType::get(argTypes, {}, mlirContext);
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// Convert result types to a single LLVM result type.
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Type resultType = getPackedResultType(type.getResults());
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if (!resultType)
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return {};
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return FunctionType::get(argTypes, {resultType}, mlirContext);
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}
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// MemRefs are converted into LLVM structure types to accommodate dynamic sizes.
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// The first element of a structure is a pointer to the elemental type of the
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// MemRef. The following N elements are values of the Index type, one for each
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// of N dynamic dimensions of the MemRef.
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Type TypeConverter::convertMemRefType(MemRefType type) {
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llvm::Type *elementType = unwrap(convertType(type.getElementType()));
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if (!elementType)
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return {};
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auto ptrType = elementType->getPointerTo();
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// Extra value for the memory space.
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unsigned numDynamicSizes = type.getNumDynamicDims();
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SmallVector<llvm::Type *, 8> types(numDynamicSizes + 1, getIndexType());
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types.front() = ptrType;
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return wrap(llvm::StructType::get(llvmContext, types));
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}
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// Convert a 1D vector type to an LLVM vector type.
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Type TypeConverter::convertVectorType(VectorType type) {
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if (type.getRank() != 1) {
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MLIRContext *context = type.getContext();
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context->emitError(UnknownLoc::get(context),
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"only 1D vectors are supported");
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return {};
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}
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llvm::Type *elementType = unwrap(convertType(type.getElementType()));
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return elementType
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? wrap(llvm::VectorType::get(elementType, type.getShape().front()))
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: Type();
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}
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// Dispatch based on the actual type. Return null type on error.
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Type TypeConverter::convertType(Type type) {
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if (auto funcType = type.dyn_cast<FunctionType>())
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return convertFunctionType(funcType);
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if (auto intType = type.dyn_cast<IntegerType>())
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return convertIntegerType(intType);
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if (auto floatType = type.dyn_cast<FloatType>())
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return convertFloatType(floatType);
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if (auto indexType = type.dyn_cast<IndexType>())
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return convertIndexType(indexType);
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if (auto memRefType = type.dyn_cast<MemRefType>())
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return convertMemRefType(memRefType);
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if (auto vectorType = type.dyn_cast<VectorType>())
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return convertVectorType(vectorType);
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MLIRContext *context = type.getContext();
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std::string message;
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llvm::raw_string_ostream os(message);
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os << "unsupported type: ";
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type.print(os);
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context->emitError(UnknownLoc::get(context), os.str());
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return {};
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}
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Type TypeConverter::convert(Type t, llvm::Module &module) {
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return TypeConverter(module, t.getContext()).convertType(t);
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}
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Type TypeConverter::pack(ArrayRef<Type> types, llvm::Module &module,
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MLIRContext &mlirContext) {
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return TypeConverter(module, &mlirContext).getPackedResultType(types);
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}
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namespace {
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// Base class for Standard to LLVM IR op conversions. Matches the Op type
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// provided as template argument. Carries a reference to the LLVM dialect in
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// case it is necessary for rewriters.
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template <typename SourceOp>
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class LLVMLegalizationPattern : public DialectOpConversion {
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public:
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// Construct a conversion pattern.
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explicit LLVMLegalizationPattern(LLVM::LLVMDialect &dialect)
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: DialectOpConversion(SourceOp::getOperationName(), 1,
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dialect.getContext()),
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dialect(dialect) {}
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// Match by type.
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PatternMatchResult match(OperationInst *op) const override {
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if (op->isa<SourceOp>())
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return this->matchSuccess();
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return this->matchFailure();
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}
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// Get the LLVM IR dialect.
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LLVM::LLVMDialect &getDialect() const { return dialect; }
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// Get the LLVM context.
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llvm::LLVMContext &getContext() const { return dialect.getLLVMContext(); }
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// Get the LLVM module in which the types are constructed.
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llvm::Module &getModule() const { return dialect.getLLVMModule(); }
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// Get the MLIR integer type whose bit width is defined by the pointer size
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// used in the LLVM module.
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IntegerType getIndexType() const {
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return IntegerType::get(getModule().getDataLayout().getPointerSizeInBits(),
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dialect.getContext());
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}
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protected:
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LLVM::LLVMDialect &dialect;
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};
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// Given a range of MLIR typed objects, return a list of their types.
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template <typename T>
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SmallVector<Type, 4> getTypes(llvm::iterator_range<T> range) {
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SmallVector<Type, 4> types;
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types.reserve(llvm::size(range));
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for (auto operand : range) {
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types.push_back(operand->getType());
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}
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return types;
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}
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// Basic lowering implementation for one-to-one rewriting from Standard Ops to
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// LLVM Dialect Ops.
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template <typename SourceOp, typename TargetOp>
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struct OneToOneLLVMOpLowering : public LLVMLegalizationPattern<SourceOp> {
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using LLVMLegalizationPattern<SourceOp>::LLVMLegalizationPattern;
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using Super = OneToOneLLVMOpLowering<SourceOp, TargetOp>;
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// Convert the type of the result to an LLVM type, pass operands as is,
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// preserve attributes.
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SmallVector<Value *, 4> rewrite(OperationInst *op, ArrayRef<Value *> operands,
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FuncBuilder &rewriter) const override {
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unsigned numResults = op->getNumResults();
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auto *mlirContext = op->getContext();
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// FIXME: using void here because there is a special case in the
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// builder... change this to use an empty type instead.
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auto voidType = LLVM::LLVMType::get(
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mlirContext, llvm::Type::getVoidTy(this->dialect.getLLVMContext()));
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auto packedType =
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numResults == 0
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? voidType
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: TypeConverter::pack(getTypes(op->getResults()),
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this->dialect.getLLVMModule(), *mlirContext);
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auto newOp = rewriter.create<TargetOp>(op->getLoc(), packedType, operands,
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op->getAttrs());
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// If the operation produced 0 or 1 result, return them immediately.
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if (numResults == 0)
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return {};
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if (numResults == 1)
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return {newOp->getInstruction()->getResult(0)};
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// Otherwise, it had been converted to an operation producing a structure.
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// Extract individual results from the structure and return them as list.
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SmallVector<Value *, 4> results;
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results.reserve(numResults);
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for (unsigned i = 0; i < numResults; ++i) {
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auto positionAttr = ArrayAttr::get(
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IntegerAttr::get(this->getIndexType(), i), mlirContext);
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auto positionAttrID = Identifier::get("position", mlirContext);
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auto positionNamedAttr = NamedAttribute{positionAttrID, positionAttr};
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auto type = TypeConverter::convert(op->getResult(i)->getType(),
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this->dialect.getLLVMModule());
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results.push_back(rewriter.create<LLVM::ExtractValueOp>(
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op->getLoc(), type,
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ArrayRef<Value *>(newOp->getInstruction()->getResult(0)),
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llvm::makeArrayRef(positionNamedAttr)));
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}
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return results;
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}
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};
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// Specific lowerings.
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// FIXME: this should be tablegen'ed.
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struct AddIOpLowering : public OneToOneLLVMOpLowering<AddIOp, LLVM::AddOp> {
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using Super::Super;
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};
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struct SubIOpLowering : public OneToOneLLVMOpLowering<SubIOp, LLVM::SubOp> {
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using Super::Super;
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};
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struct MulIOpLowering : public OneToOneLLVMOpLowering<MulIOp, LLVM::MulOp> {
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using Super::Super;
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};
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struct DivISOpLowering : public OneToOneLLVMOpLowering<DivISOp, LLVM::SDivOp> {
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using Super::Super;
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};
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struct DivIUOpLowering : public OneToOneLLVMOpLowering<DivIUOp, LLVM::UDivOp> {
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using Super::Super;
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};
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struct RemISOpLowering : public OneToOneLLVMOpLowering<RemISOp, LLVM::SRemOp> {
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using Super::Super;
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};
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struct RemIUOpLowering : public OneToOneLLVMOpLowering<RemIUOp, LLVM::URemOp> {
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using Super::Super;
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};
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struct AddFOpLowering : public OneToOneLLVMOpLowering<AddFOp, LLVM::FAddOp> {
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using Super::Super;
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};
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struct SubFOpLowering : public OneToOneLLVMOpLowering<SubFOp, LLVM::FSubOp> {
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using Super::Super;
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};
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struct MulFOpLowering : public OneToOneLLVMOpLowering<MulFOp, LLVM::FMulOp> {
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using Super::Super;
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};
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struct CmpIOpLowering : public OneToOneLLVMOpLowering<CmpIOp, LLVM::ICmpOp> {
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using Super::Super;
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};
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// Refine the matcher for call operations that return one result or more.
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// Since tablegen'ed MLIR Ops cannot have variadic results, we separate calls
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// that have 0 or 1 result (LLVM calls cannot have more than 1).
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struct CallOpLowering : public OneToOneLLVMOpLowering<CallOp, LLVM::CallOp> {
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using Super::Super;
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PatternMatchResult match(OperationInst *op) const override {
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if (op->getNumResults() > 0)
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return Super::match(op);
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return matchFailure();
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}
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};
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// Refine the matcher for call operations that return zero results.
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// Since tablegen'ed MLIR Ops cannot have variadic results, we separate calls
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// that have 0 or 1 result (LLVM calls cannot have more than 1).
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struct Call0OpLowering : public OneToOneLLVMOpLowering<CallOp, LLVM::Call0Op> {
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using Super::Super;
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PatternMatchResult match(OperationInst *op) const override {
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if (op->getNumResults() == 0)
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return Super::match(op);
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return matchFailure();
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}
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};
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struct ConstLLVMOpLowering
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: public OneToOneLLVMOpLowering<ConstantOp, LLVM::ConstantOp> {
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using Super::Super;
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};
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// Base class for LLVM IR lowering terminator operations with successors.
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template <typename SourceOp, typename TargetOp>
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struct OneToOneLLVMTerminatorLowering
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: public LLVMLegalizationPattern<SourceOp> {
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using LLVMLegalizationPattern<SourceOp>::LLVMLegalizationPattern;
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using Super = OneToOneLLVMTerminatorLowering<SourceOp, TargetOp>;
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void rewriteTerminator(OperationInst *op, ArrayRef<Value *> properOperands,
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ArrayRef<Block *> destinations,
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ArrayRef<ArrayRef<Value *>> operands,
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FuncBuilder &rewriter) const override {
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rewriter.create<TargetOp>(op->getLoc(), properOperands, destinations,
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operands, op->getAttrs());
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}
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};
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|
// Special lowering pattern for `ReturnOps`. Unlike all other operations,
|
|
// `ReturnOp` interacts with the function signature and must have as many
|
|
// operands as the function has return values. Because in LLVM IR, functions
|
|
// can only return 0 or 1 value, we pack multiple values into a structure type.
|
|
// Emit `UndefOp` followed by `InsertValueOp`s to create such structure if
|
|
// necessary before returning it
|
|
struct ReturnOpLowering : public LLVMLegalizationPattern<ReturnOp> {
|
|
using LLVMLegalizationPattern<ReturnOp>::LLVMLegalizationPattern;
|
|
|
|
SmallVector<Value *, 4> rewrite(OperationInst *op, ArrayRef<Value *> operands,
|
|
FuncBuilder &rewriter) const override {
|
|
unsigned numArguments = op->getNumOperands();
|
|
|
|
// If ReturnOp has 0 or 1 operand, create it and return immediately.
|
|
if (numArguments == 0) {
|
|
rewriter.create<LLVM::ReturnOp>(
|
|
op->getLoc(), llvm::ArrayRef<Value *>(), llvm::ArrayRef<Block *>(),
|
|
llvm::ArrayRef<llvm::ArrayRef<Value *>>(), op->getAttrs());
|
|
return {};
|
|
}
|
|
if (numArguments == 1) {
|
|
rewriter.create<LLVM::ReturnOp>(
|
|
op->getLoc(), llvm::ArrayRef<Value *>(operands.front()),
|
|
llvm::ArrayRef<Block *>(), llvm::ArrayRef<llvm::ArrayRef<Value *>>(),
|
|
op->getAttrs());
|
|
return {};
|
|
}
|
|
|
|
// Otherwise, we need to pack the arguments into an LLVM struct type before
|
|
// returning.
|
|
auto *mlirContext = op->getContext();
|
|
auto packedType = TypeConverter::pack(
|
|
getTypes(op->getOperands()), dialect.getLLVMModule(), *mlirContext);
|
|
|
|
Value *packed = rewriter.create<LLVM::UndefOp>(op->getLoc(), packedType);
|
|
for (unsigned i = 0; i < numArguments; ++i) {
|
|
// FIXME: introduce builder::getNamedAttr
|
|
auto positionAttr = ArrayAttr::get(
|
|
IntegerAttr::get(this->getIndexType(), i), mlirContext);
|
|
auto positionAttrID = Identifier::get("position", mlirContext);
|
|
auto positionNamedAttr = NamedAttribute{positionAttrID, positionAttr};
|
|
packed = rewriter.create<LLVM::InsertValueOp>(
|
|
op->getLoc(), packedType,
|
|
llvm::ArrayRef<Value *>{packed, operands[i]},
|
|
llvm::makeArrayRef(positionNamedAttr));
|
|
}
|
|
rewriter.create<LLVM::ReturnOp>(
|
|
op->getLoc(), llvm::makeArrayRef(packed), llvm::ArrayRef<Block *>(),
|
|
llvm::ArrayRef<llvm::ArrayRef<Value *>>(), op->getAttrs());
|
|
return {};
|
|
}
|
|
};
|
|
|
|
// FIXME: this should be tablegen'ed as well.
|
|
struct BranchOpLowering
|
|
: public OneToOneLLVMTerminatorLowering<BranchOp, LLVM::BrOp> {
|
|
using Super::Super;
|
|
};
|
|
struct CondBranchOpLowering
|
|
: public OneToOneLLVMTerminatorLowering<CondBranchOp, LLVM::CondBrOp> {
|
|
using Super::Super;
|
|
};
|
|
|
|
} // namespace
|
|
|
|
/// A pass converting MLIR Standard and Builtin operations into the LLVM IR
|
|
/// dialect.
|
|
class LLVMLowering : public DialectConversion {
|
|
public:
|
|
LLVMLowering() : DialectConversion(&passID) {}
|
|
|
|
const static char passID = '\0';
|
|
|
|
protected:
|
|
// Create a set of converters that live in the pass object by passing them a
|
|
// reference to the LLVM IR dialect. Store the module associated with the
|
|
// dialect for further type conversion.
|
|
llvm::DenseSet<DialectOpConversion *>
|
|
initConverters(MLIRContext *mlirContext) override {
|
|
converterStorage.Reset();
|
|
auto *llvmDialect = static_cast<LLVM::LLVMDialect *>(
|
|
mlirContext->getRegisteredDialect("llvm"));
|
|
if (!llvmDialect) {
|
|
mlirContext->emitError(UnknownLoc::get(mlirContext),
|
|
"LLVM IR dialect is not registered");
|
|
return {};
|
|
}
|
|
|
|
module = &llvmDialect->getLLVMModule();
|
|
|
|
// FIXME: this should be tablegen'ed
|
|
return ConversionListBuilder<
|
|
AddIOpLowering, SubIOpLowering, MulIOpLowering, DivISOpLowering,
|
|
DivIUOpLowering, RemISOpLowering, RemIUOpLowering, AddFOpLowering,
|
|
SubFOpLowering, MulFOpLowering, CmpIOpLowering, CallOpLowering,
|
|
Call0OpLowering, BranchOpLowering, CondBranchOpLowering,
|
|
ReturnOpLowering, ConstLLVMOpLowering>::build(&converterStorage,
|
|
*llvmDialect);
|
|
}
|
|
|
|
// Convert types using the stored LLVM IR module.
|
|
Type convertType(Type t) override {
|
|
return TypeConverter::convert(t, *module);
|
|
}
|
|
|
|
private:
|
|
// Storage for the conversion patterns.
|
|
llvm::BumpPtrAllocator converterStorage;
|
|
// LLVM IR module used to parse/create types.
|
|
llvm::Module *module;
|
|
};
|
|
|
|
const char LLVMLowering::passID;
|
|
|
|
ModulePass *mlir::createConvertToLLVMIRPass() { return new LLVMLowering; }
|
|
|
|
static PassRegistration<LLVMLowering>
|
|
pass("convert-to-llvmir", "Convert all functions to the LLVM IR dialect");
|