//===- ConvertToLLVMDialect.cpp - MLIR to LLVM dialect conversion ---------===// // // Copyright 2019 The MLIR Authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // ============================================================================= // // This file implements a pass to convert MLIR standard and builtin dialects // into the LLVM IR dialect. // //===----------------------------------------------------------------------===// #include "mlir/IR/Builders.h" #include "mlir/IR/MLIRContext.h" #include "mlir/IR/Module.h" #include "mlir/IR/PatternMatch.h" #include "mlir/LLVMIR/LLVMDialect.h" #include "mlir/LLVMIR/Transforms.h" #include "mlir/Pass/Pass.h" #include "mlir/StandardOps/Ops.h" #include "mlir/Support/Functional.h" #include "mlir/Transforms/DialectConversion.h" #include "mlir/Transforms/Passes.h" #include "mlir/Transforms/Utils.h" #include "llvm/IR/DerivedTypes.h" #include "llvm/IR/IRBuilder.h" #include "llvm/IR/Type.h" using namespace mlir; namespace { // Type converter for the LLVM IR dialect. Converts MLIR standard and builtin // types into equivalent LLVM IR dialect types. class TypeConverter { public: // Convert one type `t ` and register it in the `llvmModule`. The latter may // be used to extract information specific to the data layout. // Dispatches to the private functions below based on the actual type. static Type convert(Type t, llvm::Module &llvmModule); // Convert the element type of the memref `t` to to an LLVM type, get a // pointer LLVM type pointing to the converted `t`, wrap it into the MLIR LLVM // dialect type and return. static Type getMemRefElementPtrType(MemRefType t, llvm::Module &llvmModule); // Convert a non-empty list of types to an LLVM IR dialect type wrapping an // LLVM IR structure type, elements of which are formed by converting // individual types in the given list. Register the type in the `llvmModule`. // The module may be also used to query the data layout. static Type pack(ArrayRef types, llvm::Module &llvmModule, MLIRContext &context); // Convert a function signature type to the LLVM IR dialect. The outer // function type remains `mlir::FunctionType`. Argument types are converted // to LLVM IR as is. If the function returns a single result, its type is // converted. Otherwise, the types of results are packed into an LLVM IR // structure type. static FunctionType convertFunctionSignature(FunctionType t, llvm::Module &llvmModule); private: // Construct a type converter. explicit TypeConverter(llvm::Module &llvmModule, MLIRContext *context) : module(llvmModule), llvmContext(llvmModule.getContext()), builder(llvmModule.getContext()), mlirContext(context) {} // Convert a function type. The arguments and results are converted one by // one. Additionally, if the function returns more than one value, pack the // results into an LLVM IR structure type so that the converted function type // returns at most one result. Type convertFunctionType(FunctionType type); // Convert function type arguments and results without converting the // function type itself. FunctionType convertFunctionSignatureType(FunctionType type); // Convert the index type. Uses llvmModule data layout to create an integer // of the pointer bitwidth. Type convertIndexType(IndexType type); // Convert an integer type `i*` to `!llvm<"i*">`. Type convertIntegerType(IntegerType type); // Convert a floating point type: `f16` to `!llvm.half`, `f32` to // `!llvm.float` and `f64` to `!llvm.double`. `bf16` is not supported // by LLVM. Type convertFloatType(FloatType type); // Convert a memref type into an LLVM type that captures the relevant data. // For statically-shaped memrefs, the resulting type is a pointer to the // (converted) memref element type. For dynamically-shaped memrefs, the // resulting type is an LLVM structure type that contains: // 1. a pointer to the (converted) memref element type // 2. as many index types as memref has dynamic dimensions. Type convertMemRefType(MemRefType type); // Convert a 1D vector type into an LLVM vector type. Type convertVectorType(VectorType type); // Convert a non-empty list of types into an LLVM structure type containing // those types. If the list contains a single element, convert the element // directly. Type getPackedResultType(ArrayRef types); // Convert a type to the LLVM IR dialect. Returns a null type in case of // error. Type convertType(Type type); // Get the LLVM representation of the index type based on the bitwidth of the // pointer as defined by the data layout of the module. llvm::IntegerType *getIndexType(); // Wrap the given LLVM IR type into an LLVM IR dialect type. Type wrap(llvm::Type *llvmType) { return LLVM::LLVMType::get(mlirContext, llvmType); } // Extract an LLVM IR type from the LLVM IR dialect type. llvm::Type *unwrap(Type type) { if (!type) return nullptr; auto wrappedLLVMType = type.dyn_cast(); if (!wrappedLLVMType) return mlirContext->emitError(UnknownLoc::get(mlirContext), "conversion resulted in a non-LLVM type"), nullptr; return wrappedLLVMType.getUnderlyingType(); } llvm::Module &module; llvm::LLVMContext &llvmContext; llvm::IRBuilder<> builder; MLIRContext *mlirContext; }; } // end anonymous namespace llvm::IntegerType *TypeConverter::getIndexType() { return builder.getIntNTy(module.getDataLayout().getPointerSizeInBits()); } Type TypeConverter::convertIndexType(IndexType type) { return wrap(getIndexType()); } Type TypeConverter::convertIntegerType(IntegerType type) { return wrap(builder.getIntNTy(type.getWidth())); } Type TypeConverter::convertFloatType(FloatType type) { switch (type.getKind()) { case mlir::StandardTypes::F32: return wrap(builder.getFloatTy()); case mlir::StandardTypes::F64: return wrap(builder.getDoubleTy()); case mlir::StandardTypes::F16: return wrap(builder.getHalfTy()); case mlir::StandardTypes::BF16: return mlirContext->emitError(UnknownLoc::get(mlirContext), "unsupported type: BF16"), Type(); default: llvm_unreachable("non-float type in convertFloatType"); } } // If `types` has more than one type, pack them into an LLVM StructType, // otherwise just convert the type. Type TypeConverter::getPackedResultType(ArrayRef types) { // We don't convert zero-valued functions to one-valued functions returning // void yet. assert(!types.empty() && "empty type list"); // Convert result types one by one and check for errors. SmallVector resultTypes; for (auto t : types) { llvm::Type *converted = unwrap(convertType(t)); if (!converted) return {}; resultTypes.push_back(converted); } // LLVM does not support tuple returns. If there are more than 2 results, // pack them into an LLVM struct type. if (resultTypes.size() == 1) return wrap(resultTypes.front()); return wrap(llvm::StructType::get(llvmContext, resultTypes)); } // Function types are converted to LLVM Function types by recursively converting // argument and result types. If MLIR Function has zero results, the LLVM // Function has one VoidType result. If MLIR Function has more than one result, // they are into an LLVM StructType in their order of appearance. Type TypeConverter::convertFunctionType(FunctionType type) { // Convert argument types one by one and check for errors. SmallVector argTypes; for (auto t : type.getInputs()) { auto converted = convertType(t); if (!converted) return {}; argTypes.push_back(unwrap(converted)); } // If function does not return anything, create the void result type, // if it returns on element, convert it, otherwise pack the result types into // a struct. llvm::Type *resultType = type.getNumResults() == 0 ? llvm::Type::getVoidTy(llvmContext) : unwrap(getPackedResultType(type.getResults())); if (!resultType) return {}; return wrap(llvm::FunctionType::get(resultType, argTypes, /*isVarArg=*/false) ->getPointerTo()); } FunctionType TypeConverter::convertFunctionSignatureType(FunctionType type) { SmallVector argTypes; for (auto t : type.getInputs()) { auto converted = convertType(t); if (!converted) return {}; argTypes.push_back(converted); } // If function does not return anything, return immediately. if (type.getNumResults() == 0) return FunctionType::get(argTypes, {}, mlirContext); // Otherwise pack the result types into a struct. if (auto result = getPackedResultType(type.getResults())) return FunctionType::get(argTypes, {result}, mlirContext); return {}; } // Convert a MemRef to an LLVM type. If the memref is statically-shaped, then // we return a pointer to the converted element type. Otherwise we return an // LLVM stucture type, where the first element of the structure type is a // pointer to the elemental type of the MemRef and the following N elements are // values of the Index type, one for each of N dynamic dimensions of the MemRef. Type TypeConverter::convertMemRefType(MemRefType type) { llvm::Type *elementType = unwrap(convertType(type.getElementType())); if (!elementType) return {}; auto ptrType = elementType->getPointerTo(); // Extra value for the memory space. unsigned numDynamicSizes = type.getNumDynamicDims(); // If memref is statically-shaped we return the underlying pointer type. if (numDynamicSizes == 0) { return wrap(ptrType); } SmallVector types(numDynamicSizes + 1, getIndexType()); types.front() = ptrType; return wrap(llvm::StructType::get(llvmContext, types)); } // Convert a 1D vector type to an LLVM vector type. Type TypeConverter::convertVectorType(VectorType type) { if (type.getRank() != 1) { mlirContext->emitError(UnknownLoc::get(mlirContext), "only 1D vectors are supported"); return {}; } llvm::Type *elementType = unwrap(convertType(type.getElementType())); return elementType ? wrap(llvm::VectorType::get(elementType, type.getShape().front())) : Type(); } // Dispatch based on the actual type. Return null type on error. Type TypeConverter::convertType(Type type) { if (auto funcType = type.dyn_cast()) return convertFunctionType(funcType); if (auto intType = type.dyn_cast()) return convertIntegerType(intType); if (auto floatType = type.dyn_cast()) return convertFloatType(floatType); if (auto indexType = type.dyn_cast()) return convertIndexType(indexType); if (auto memRefType = type.dyn_cast()) return convertMemRefType(memRefType); if (auto vectorType = type.dyn_cast()) return convertVectorType(vectorType); if (auto llvmType = type.dyn_cast()) return llvmType; std::string message; llvm::raw_string_ostream os(message); os << "unsupported type: "; type.print(os); mlirContext->emitError(UnknownLoc::get(mlirContext), os.str()); return {}; } Type TypeConverter::convert(Type t, llvm::Module &module) { return TypeConverter(module, t.getContext()).convertType(t); } FunctionType TypeConverter::convertFunctionSignature(FunctionType t, llvm::Module &module) { return TypeConverter(module, t.getContext()).convertFunctionSignatureType(t); } Type TypeConverter::getMemRefElementPtrType(MemRefType t, llvm::Module &module) { auto elementType = t.getElementType(); auto converted = convert(elementType, module); if (!converted) return {}; llvm::Type *llvmType = converted.cast().getUnderlyingType(); return LLVM::LLVMType::get(t.getContext(), llvmType->getPointerTo()); } Type TypeConverter::pack(ArrayRef types, llvm::Module &module, MLIRContext &mlirContext) { return TypeConverter(module, &mlirContext).getPackedResultType(types); } namespace { // Base class for Standard to LLVM IR op conversions. Matches the Op type // provided as template argument. Carries a reference to the LLVM dialect in // case it is necessary for rewriters. template class LLVMLegalizationPattern : public DialectOpConversion { public: // Construct a conversion pattern. explicit LLVMLegalizationPattern(LLVM::LLVMDialect &dialect) : DialectOpConversion(SourceOp::getOperationName(), 1, dialect.getContext()), dialect(dialect) {} // Match by type. PatternMatchResult match(Operation *op) const override { if (op->isa()) return this->matchSuccess(); return this->matchFailure(); } // Get the LLVM IR dialect. LLVM::LLVMDialect &getDialect() const { return dialect; } // Get the LLVM context. llvm::LLVMContext &getContext() const { return dialect.getLLVMContext(); } // Get the LLVM module in which the types are constructed. llvm::Module &getModule() const { return dialect.getLLVMModule(); } // Get the MLIR type wrapping the LLVM integer type whose bit width is defined // by the pointer size used in the LLVM module. LLVM::LLVMType getIndexType() const { llvm::Type *llvmType = llvm::Type::getIntNTy( getContext(), getModule().getDataLayout().getPointerSizeInBits()); return LLVM::LLVMType::get(dialect.getContext(), llvmType); } // Get the MLIR type wrapping the LLVM i8* type. LLVM::LLVMType getVoidPtrType() const { return LLVM::LLVMType::get(dialect.getContext(), llvm::Type::getInt8PtrTy(getContext())); } // Create an LLVM IR pseudo-operation defining the given index constant. Value *createIndexConstant(FuncBuilder &builder, Location loc, uint64_t value) const { auto attr = builder.getIntegerAttr(builder.getIndexType(), value); return builder.create(loc, getIndexType(), attr); } // Get the array attribute named "position" containing the given list of // integers as integer attribute elements. static ArrayAttr getIntegerArrayAttr(FuncBuilder &builder, ArrayRef values) { SmallVector attrs; attrs.reserve(values.size()); for (int64_t pos : values) attrs.push_back(builder.getIntegerAttr(builder.getIndexType(), pos)); return builder.getArrayAttr(attrs); } // Extract raw data pointer value from a value representing a memref. static Value *extractMemRefElementPtr(FuncBuilder &builder, Location loc, Value *convertedMemRefValue, Type elementTypePtr, bool hasStaticShape) { Value *buffer; if (hasStaticShape) return convertedMemRefValue; else return builder.create( loc, elementTypePtr, convertedMemRefValue, getIntegerArrayAttr(builder, 0)); return buffer; } protected: LLVM::LLVMDialect &dialect; }; // Given a range of MLIR typed objects, return a list of their types. template SmallVector getTypes(llvm::iterator_range range) { SmallVector types; types.reserve(llvm::size(range)); for (auto operand : range) { types.push_back(operand->getType()); } return types; } // Basic lowering implementation for one-to-one rewriting from Standard Ops to // LLVM Dialect Ops. template struct OneToOneLLVMOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; using Super = OneToOneLLVMOpLowering; // Convert the type of the result to an LLVM type, pass operands as is, // preserve attributes. SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { unsigned numResults = op->getNumResults(); auto *mlirContext = op->getContext(); Type packedType; if (numResults != 0) { packedType = TypeConverter::pack(getTypes(op->getResults()), this->dialect.getLLVMModule(), *mlirContext); assert(packedType && "type conversion failed, such operation should not " "have been matched"); } auto newOp = rewriter.create(op->getLoc(), packedType, operands, op->getAttrs()); // If the operation produced 0 or 1 result, return them immediately. if (numResults == 0) return {}; if (numResults == 1) return {newOp.getOperation()->getResult(0)}; // Otherwise, it had been converted to an operation producing a structure. // Extract individual results from the structure and return them as list. SmallVector results; results.reserve(numResults); for (unsigned i = 0; i < numResults; ++i) { auto type = TypeConverter::convert(op->getResult(i)->getType(), this->dialect.getLLVMModule()); results.push_back(rewriter.create( op->getLoc(), type, newOp.getOperation()->getResult(0), this->getIntegerArrayAttr(rewriter, i))); } return results; } }; // Specific lowerings. // FIXME: this should be tablegen'ed. struct AddIOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct SubIOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct MulIOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct DivISOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct DivIUOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct RemISOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct RemIUOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct AddFOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct SubFOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct MulFOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct DivFOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct RemFOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct CmpIOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct SelectOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct CallOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct CallIndirectOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; struct ConstLLVMOpLowering : public OneToOneLLVMOpLowering { using Super::Super; }; // Check if the MemRefType `type` is supported by the lowering. We currently do // not support memrefs with affine maps and non-default memory spaces. static bool isSupportedMemRefType(MemRefType type) { if (!type.getAffineMaps().empty()) return false; if (type.getMemorySpace() != 0) return false; return true; } // An `alloc` is converted into a definition of a memref descriptor value and // a call to `malloc` to allocate the underlying data buffer. The memref // descriptor is of the LLVM structure type where the first element is a pointer // to the (typed) data buffer, and the remaining elements serve to store // dynamic sizes of the memref using LLVM-converted `index` type. struct AllocOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; PatternMatchResult match(Operation *op) const override { if (!LLVMLegalizationPattern::match(op)) return matchFailure(); auto allocOp = op->cast(); MemRefType type = allocOp.getType(); return isSupportedMemRefType(type) ? matchSuccess() : matchFailure(); } SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { auto allocOp = op->cast(); MemRefType type = allocOp.getType(); // Get actual sizes of the memref as values: static sizes are constant // values and dynamic sizes are passed to 'alloc' as operands. In case of // zero-dimensional memref, assume a scalar (size 1). SmallVector sizes; auto numOperands = allocOp.getNumOperands(); sizes.reserve(numOperands); unsigned i = 0; for (int64_t s : type.getShape()) sizes.push_back(s == -1 ? operands[i++] : createIndexConstant(rewriter, op->getLoc(), s)); if (sizes.empty()) sizes.push_back(createIndexConstant(rewriter, op->getLoc(), 1)); // Compute the total number of memref elements. Value *cumulativeSize = sizes.front(); for (unsigned i = 1, e = sizes.size(); i < e; ++i) cumulativeSize = rewriter.create( op->getLoc(), getIndexType(), ArrayRef{cumulativeSize, sizes[i]}); // Compute the total amount of bytes to allocate. auto elementType = type.getElementType(); assert((elementType.isIntOrFloat() || elementType.isa()) && "invalid memref element type"); uint64_t elementSize = 0; if (auto vectorType = elementType.dyn_cast()) elementSize = vectorType.getNumElements() * llvm::divideCeil(vectorType.getElementTypeBitWidth(), 8); else elementSize = llvm::divideCeil(elementType.getIntOrFloatBitWidth(), 8); cumulativeSize = rewriter.create( op->getLoc(), getIndexType(), ArrayRef{ cumulativeSize, createIndexConstant(rewriter, op->getLoc(), elementSize)}); // Insert the `malloc` declaration if it is not already present. Function *mallocFunc = op->getFunction()->getModule()->getNamedFunction("malloc"); if (!mallocFunc) { auto mallocType = rewriter.getFunctionType(getIndexType(), getVoidPtrType()); mallocFunc = new Function(rewriter.getUnknownLoc(), "malloc", mallocType); op->getFunction()->getModule()->getFunctions().push_back(mallocFunc); } // Allocate the underlying buffer and store a pointer to it in the MemRef // descriptor. Value *allocated = rewriter .create(op->getLoc(), getVoidPtrType(), rewriter.getFunctionAttr(mallocFunc), cumulativeSize) .getResult(0); auto structElementType = TypeConverter::convert(elementType, getModule()); auto elementPtrType = LLVM::LLVMType::get( op->getContext(), structElementType.cast() .getUnderlyingType() ->getPointerTo()); allocated = rewriter.create(op->getLoc(), elementPtrType, ArrayRef(allocated)); // Deal with static memrefs if (numOperands == 0) { return {allocated}; } // Create the MemRef descriptor. auto structType = TypeConverter::convert(type, getModule()); Value *memRefDescriptor = rewriter.create( op->getLoc(), structType, ArrayRef{}); memRefDescriptor = rewriter.create( op->getLoc(), structType, memRefDescriptor, allocated, getIntegerArrayAttr(rewriter, 0)); // Store dynamically allocated sizes in the descriptor. Dynamic sizes are // passed in as operands. for (auto indexedSize : llvm::enumerate(operands)) { memRefDescriptor = rewriter.create( op->getLoc(), structType, memRefDescriptor, indexedSize.value(), getIntegerArrayAttr(rewriter, 1 + indexedSize.index())); } // Return the final value of the descriptor. return {memRefDescriptor}; } }; // A `dealloc` is converted into a call to `free` on the underlying data buffer. // The memref descriptor being an SSA value, there is no need to clean it up // in any way. struct DeallocOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { assert(operands.size() == 1 && "dealloc takes one operand"); // Insert the `free` declaration if it is not already present. Function *freeFunc = op->getFunction()->getModule()->getNamedFunction("free"); if (!freeFunc) { auto freeType = rewriter.getFunctionType(getVoidPtrType(), {}); freeFunc = new Function(rewriter.getUnknownLoc(), "free", freeType); op->getFunction()->getModule()->getFunctions().push_back(freeFunc); } auto *type = operands[0]->getType().cast().getUnderlyingType(); auto hasStaticShape = type->isPointerTy(); Type elementPtrType = (hasStaticShape) ? rewriter.getType(type) : rewriter.getType( cast(type)->getStructElementType(0)); Value *bufferPtr = extractMemRefElementPtr( rewriter, op->getLoc(), operands[0], elementPtrType, hasStaticShape); Value *casted = rewriter.create( op->getLoc(), getVoidPtrType(), bufferPtr); rewriter.create(op->getLoc(), ArrayRef(), rewriter.getFunctionAttr(freeFunc), casted); return {}; } }; struct MemRefCastOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; PatternMatchResult match(Operation *op) const override { if (!LLVMLegalizationPattern::match(op)) return matchFailure(); auto memRefCastOp = op->cast(); MemRefType sourceType = memRefCastOp.getOperand()->getType().cast(); MemRefType targetType = memRefCastOp.getType(); return (isSupportedMemRefType(targetType) && isSupportedMemRefType(sourceType)) ? matchSuccess() : matchFailure(); } SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { auto memRefCastOp = op->cast(); auto targetType = memRefCastOp.getType(); auto sourceType = memRefCastOp.getOperand()->getType().cast(); // Copy the data buffer pointer. auto elementTypePtr = TypeConverter::getMemRefElementPtrType(targetType, getModule()); Value *buffer = extractMemRefElementPtr(rewriter, op->getLoc(), operands[0], elementTypePtr, sourceType.hasStaticShape()); // Account for static memrefs as target types if (targetType.hasStaticShape()) { return {buffer}; } // Create the new MemRef descriptor. auto structType = TypeConverter::convert(targetType, getModule()); Value *newDescriptor = rewriter.create( op->getLoc(), structType, ArrayRef{}); // Otherwise target type is dynamic memref, so create a proper descriptor. newDescriptor = rewriter.create( op->getLoc(), structType, newDescriptor, buffer, getIntegerArrayAttr(rewriter, 0)); // Fill in the dynamic sizes of the new descriptor. If the size was // dynamic, copy it from the old descriptor. If the size was static, insert // the constant. Note that the positions of dynamic sizes in the // descriptors start from 1 (the buffer pointer is at position zero). int64_t sourceDynamicDimIdx = 1; int64_t targetDynamicDimIdx = 1; for (int i = 0, e = sourceType.getRank(); i < e; ++i) { // Ignore new static sizes (they will be known from the type). If the // size was dynamic, update the index of dynamic types. if (targetType.getShape()[i] != -1) { if (sourceType.getShape()[i] == -1) ++sourceDynamicDimIdx; continue; } auto sourceSize = sourceType.getShape()[i]; Value *size = sourceSize == -1 ? rewriter.create( op->getLoc(), getIndexType(), operands[0], // NB: dynamic memref getIntegerArrayAttr(rewriter, sourceDynamicDimIdx++)) : createIndexConstant(rewriter, op->getLoc(), sourceSize); newDescriptor = rewriter.create( op->getLoc(), structType, newDescriptor, size, getIntegerArrayAttr(rewriter, targetDynamicDimIdx++)); } assert(sourceDynamicDimIdx - 1 == sourceType.getNumDynamicDims() && "source dynamic dimensions were not processed"); assert(targetDynamicDimIdx - 1 == targetType.getNumDynamicDims() && "target dynamic dimensions were not set up"); return {newDescriptor}; } }; // A `dim` is converted to a constant for static sizes and to an access to the // size stored in the memref descriptor for dynamic sizes. struct DimOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; PatternMatchResult match(Operation *op) const override { if (!LLVMLegalizationPattern::match(op)) return this->matchFailure(); auto dimOp = op->cast(); MemRefType type = dimOp.getOperand()->getType().cast(); return isSupportedMemRefType(type) ? matchSuccess() : matchFailure(); } SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { assert(operands.size() == 1 && "expected exactly one operand"); auto dimOp = op->cast(); MemRefType type = dimOp.getOperand()->getType().cast(); SmallVector results; auto shape = type.getShape(); uint64_t index = dimOp.getIndex(); // Extract dynamic size from the memref descriptor and define static size // as a constant. if (shape[index] == -1) { // Find the position of the dynamic dimension in the list of dynamic sizes // by counting the number of preceding dynamic dimensions. Start from 1 // because the buffer pointer is at position zero. int64_t position = 1; for (uint64_t i = 0; i < index; ++i) { if (shape[i] == -1) ++position; } results.push_back(rewriter.create( op->getLoc(), getIndexType(), operands[0], getIntegerArrayAttr(rewriter, position))); } else { results.push_back( createIndexConstant(rewriter, op->getLoc(), shape[index])); } return results; } }; // Common base for load and store operations on MemRefs. Restricts the match // to supported MemRef types. Provides functionality to emit code accessing a // specific element of the underlying data buffer. template struct LoadStoreOpLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; using Base = LoadStoreOpLowering; PatternMatchResult match(Operation *op) const override { if (!LLVMLegalizationPattern::match(op)) return this->matchFailure(); auto loadOp = op->cast(); MemRefType type = loadOp.getMemRefType(); return isSupportedMemRefType(type) ? this->matchSuccess() : this->matchFailure(); } // Given subscript indices and array sizes in row-major order, // i_n, i_{n-1}, ..., i_1 // s_n, s_{n-1}, ..., s_1 // obtain a value that corresponds to the linearized subscript // \sum_k i_k * \prod_{j=1}^{k-1} s_j // by accumulating the running linearized value. // Note that `indices` and `allocSizes` are passed in the same order as they // appear in load/store operations and memref type declarations. Value *linearizeSubscripts(FuncBuilder &builder, Location loc, ArrayRef indices, ArrayRef allocSizes) const { assert(indices.size() == allocSizes.size() && "mismatching number of indices and allocation sizes"); assert(!indices.empty() && "cannot linearize a 0-dimensional access"); Value *linearized = indices.front(); for (int i = 1, nSizes = allocSizes.size(); i < nSizes; ++i) { linearized = builder.create( loc, this->getIndexType(), ArrayRef{linearized, allocSizes[i]}); linearized = builder.create( loc, this->getIndexType(), ArrayRef{linearized, indices[i]}); } return linearized; } // Given the MemRef type, a descriptor and a list of indices, extract the data // buffer pointer from the descriptor, convert multi-dimensional subscripts // into a linearized index (using dynamic size data from the descriptor if // necessary) and get the pointer to the buffer element identified by the // indices. Value *getElementPtr(Location loc, Type elementTypePtr, ArrayRef shape, Value *memRefDescriptor, ArrayRef indices, FuncBuilder &rewriter) const { // Get the list of MemRef sizes. Static sizes are defined as constants. // Dynamic sizes are extracted from the MemRef descriptor, where they start // from the position 1 (the buffer is at position 0). SmallVector sizes; unsigned dynamicSizeIdx = 1; for (int64_t s : shape) { if (s == -1) { Value *size = rewriter.create( loc, this->getIndexType(), memRefDescriptor, this->getIntegerArrayAttr(rewriter, dynamicSizeIdx++)); sizes.push_back(size); } else { sizes.push_back(this->createIndexConstant(rewriter, loc, s)); } } // The second and subsequent operands are access subscripts. Obtain the // linearized address in the buffer. Value *subscript = linearizeSubscripts(rewriter, loc, indices, sizes); Value *dataPtr = rewriter.create( loc, elementTypePtr, memRefDescriptor, this->getIntegerArrayAttr(rewriter, 0)); return rewriter.create(loc, elementTypePtr, ArrayRef{dataPtr, subscript}, ArrayRef{}); } // This is a getElementPtr variant, where the value is a direct raw pointer. // If a shape is empty, we are dealing with a zero-dimensional memref. Return // the pointer unmodified in this case. Otherwise, linearize subscripts to // obtain the offset with respect to the base pointer. Use this offset to // compute and return the element pointer. Value *getRawElementPtr(Location loc, Type elementTypePtr, ArrayRef shape, Value *rawDataPtr, ArrayRef indices, FuncBuilder &rewriter) const { if (shape.empty()) return rawDataPtr; SmallVector sizes; for (int64_t s : shape) { sizes.push_back(this->createIndexConstant(rewriter, loc, s)); } Value *subscript = linearizeSubscripts(rewriter, loc, indices, sizes); return rewriter.create( loc, elementTypePtr, ArrayRef{rawDataPtr, subscript}, ArrayRef{}); } Value *getDataPtr(Location loc, MemRefType type, Value *dataPtr, ArrayRef indices, FuncBuilder &rewriter, llvm::Module &module) const { auto ptrType = TypeConverter::getMemRefElementPtrType(type, module); auto shape = type.getShape(); if (type.hasStaticShape()) { // NB: If memref was statically-shaped, dataPtr is pointer to raw data. return getRawElementPtr(loc, ptrType, shape, dataPtr, indices, rewriter); } else { return getElementPtr(loc, ptrType, shape, dataPtr, indices, rewriter); } } }; // Load operation is lowered to obtaining a pointer to the indexed element // and loading it. struct LoadOpLowering : public LoadStoreOpLowering { using Base::Base; SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { auto loadOp = op->cast(); auto type = loadOp.getMemRefType(); Value *dataPtr = getDataPtr(op->getLoc(), type, operands.front(), operands.drop_front(), rewriter, getModule()); auto elementType = TypeConverter::convert(type.getElementType(), getModule()); SmallVector results; results.push_back(rewriter.create( op->getLoc(), elementType, ArrayRef{dataPtr})); return results; } }; // Store opreation is lowered to obtaining a pointer to the indexed element, // and storing the given value to it. struct StoreOpLowering : public LoadStoreOpLowering { using Base::Base; SmallVector rewrite(Operation *op, ArrayRef operands, FuncBuilder &rewriter) const override { auto storeOp = op->cast(); auto type = storeOp.getMemRefType(); Value *dataPtr = getDataPtr(op->getLoc(), type, operands[1], operands.drop_front(2), rewriter, getModule()); rewriter.create(op->getLoc(), operands[0], dataPtr); return {}; } }; // Base class for LLVM IR lowering terminator operations with successors. template struct OneToOneLLVMTerminatorLowering : public LLVMLegalizationPattern { using LLVMLegalizationPattern::LLVMLegalizationPattern; using Super = OneToOneLLVMTerminatorLowering; void rewriteTerminator(Operation *op, ArrayRef properOperands, ArrayRef destinations, ArrayRef> operands, FuncBuilder &rewriter) const override { rewriter.create(op->getLoc(), properOperands, destinations, operands, op->getAttrs()); } }; // 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 { using LLVMLegalizationPattern::LLVMLegalizationPattern; SmallVector rewrite(Operation *op, ArrayRef 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( op->getLoc(), llvm::ArrayRef(), llvm::ArrayRef(), llvm::ArrayRef>(), op->getAttrs()); return {}; } if (numArguments == 1) { rewriter.create( op->getLoc(), llvm::ArrayRef(operands.front()), llvm::ArrayRef(), llvm::ArrayRef>(), 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(op->getLoc(), packedType); for (unsigned i = 0; i < numArguments; ++i) { packed = rewriter.create( op->getLoc(), packedType, packed, operands[i], getIntegerArrayAttr(rewriter, i)); } rewriter.create( op->getLoc(), llvm::makeArrayRef(packed), llvm::ArrayRef(), llvm::ArrayRef>(), op->getAttrs()); return {}; } }; // FIXME: this should be tablegen'ed as well. struct BranchOpLowering : public OneToOneLLVMTerminatorLowering { using Super::Super; }; struct CondBranchOpLowering : public OneToOneLLVMTerminatorLowering { using Super::Super; }; } // namespace static void ensureDistinctSuccessors(Block &bb) { auto *terminator = bb.getTerminator(); // Find repeated successors with arguments. llvm::SmallDenseMap> successorPositions; for (int i = 0, e = terminator->getNumSuccessors(); i < e; ++i) { Block *successor = terminator->getSuccessor(i); // Blocks with no arguments are safe even if they appear multiple times // because they don't need PHI nodes. if (successor->getNumArguments() == 0) continue; successorPositions[successor].push_back(i); } // If a successor appears for the second or more time in the terminator, // create a new dummy block that unconditionally branches to the original // destination, and retarget the terminator to branch to this new block. // There is no need to pass arguments to the dummy block because it will be // dominated by the original block and can therefore use any values defined in // the original block. for (const auto &successor : successorPositions) { const auto &positions = successor.second; // Start from the second occurrence of a block in the successor list. for (auto position = std::next(positions.begin()), end = positions.end(); position != end; ++position) { auto *dummyBlock = new Block(); bb.getParent()->push_back(dummyBlock); auto builder = FuncBuilder(dummyBlock); SmallVector operands( terminator->getSuccessorOperands(*position)); builder.create(terminator->getLoc(), successor.first, operands); terminator->setSuccessor(dummyBlock, *position); for (int i = 0, e = terminator->getNumSuccessorOperands(*position); i < e; ++i) terminator->eraseSuccessorOperand(*position, i); } } } void mlir::LLVM::ensureDistinctSuccessors(Module *m) { for (auto &f : *m) { for (auto &bb : f.getBlocks()) { ::ensureDistinctSuccessors(bb); } } }; /// A dialect converter from the Standard dialect to the LLVM IR dialect. class LLVMLowering : public DialectConversion { 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 initConverters(MLIRContext *mlirContext) override { converterStorage.Reset(); auto *llvmDialect = static_cast( 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< AddFOpLowering, AddIOpLowering, AllocOpLowering, BranchOpLowering, CallIndirectOpLowering, CallOpLowering, CmpIOpLowering, CondBranchOpLowering, ConstLLVMOpLowering, DeallocOpLowering, DimOpLowering, DivISOpLowering, DivIUOpLowering, DivFOpLowering, LoadOpLowering, MemRefCastOpLowering, MulFOpLowering, MulIOpLowering, RemISOpLowering, RemIUOpLowering, RemFOpLowering, ReturnOpLowering, SelectOpLowering, StoreOpLowering, SubFOpLowering, SubIOpLowering>::build(&converterStorage, *llvmDialect); } // Convert types using the stored LLVM IR module. Type convertType(Type t) override { return TypeConverter::convert(t, *module); } // Convert function signatures using the stored LLVM IR module. FunctionType convertFunctionSignatureType( FunctionType t, ArrayRef argAttrs, SmallVectorImpl &convertedArgAttrs) override { convertedArgAttrs.reserve(argAttrs.size()); for (auto attr : argAttrs) convertedArgAttrs.push_back(attr); return TypeConverter::convertFunctionSignature(t, *module); } private: // Storage for the conversion patterns. llvm::BumpPtrAllocator converterStorage; // LLVM IR module used to parse/create types. llvm::Module *module; }; /// A pass converting MLIR Standard operations into the LLVM IR dialect. class LLVMLoweringPass : public ModulePass { public: // Run the dialect converter on the module. void runOnModule() override { Module *m = &getModule(); LLVM::ensureDistinctSuccessors(m); if (failed(impl.convert(m))) signalPassFailure(); } private: LLVMLowering impl; }; ModulePassBase *mlir::createConvertToLLVMIRPass() { return new LLVMLoweringPass(); } std::unique_ptr mlir::createStdToLLVMConverter() { return llvm::make_unique(); } static PassRegistration pass("convert-to-llvmir", "Convert all functions to the LLVM IR dialect");