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| 1 | +//===-- FIROpPatterns.h -- FIR operation conversion patterns ----*- C++ -*-===// |
| 2 | +// |
| 3 | +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | +// See https://llvm.org/LICENSE.txt for license information. |
| 5 | +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | +// |
| 7 | +//===----------------------------------------------------------------------===// |
| 8 | + |
| 9 | +#ifndef FORTRAN_OPTIMIZER_CODEGEN_FIROPPATTERNS_H |
| 10 | +#define FORTRAN_OPTIMIZER_CODEGEN_FIROPPATTERNS_H |
| 11 | + |
| 12 | +#include "flang/Optimizer/CodeGen/TypeConverter.h" |
| 13 | +#include "mlir/Conversion/LLVMCommon/Pattern.h" |
| 14 | +#include "mlir/Dialect/LLVMIR/LLVMDialect.h" |
| 15 | + |
| 16 | +namespace fir { |
| 17 | + |
| 18 | +struct FIRToLLVMPassOptions; |
| 19 | + |
| 20 | +static constexpr unsigned defaultAddressSpace = 0u; |
| 21 | + |
| 22 | +class ConvertFIRToLLVMPattern : public mlir::ConvertToLLVMPattern { |
| 23 | +public: |
| 24 | + ConvertFIRToLLVMPattern(llvm::StringRef rootOpName, |
| 25 | + mlir::MLIRContext *context, |
| 26 | + const fir::LLVMTypeConverter &typeConverter, |
| 27 | + const fir::FIRToLLVMPassOptions &options, |
| 28 | + mlir::PatternBenefit benefit = 1); |
| 29 | + |
| 30 | +protected: |
| 31 | + mlir::Type convertType(mlir::Type ty) const { |
| 32 | + return lowerTy().convertType(ty); |
| 33 | + } |
| 34 | + |
| 35 | + // Convert FIR type to LLVM without turning fir.box<T> into memory |
| 36 | + // reference. |
| 37 | + mlir::Type convertObjectType(mlir::Type firType) const; |
| 38 | + |
| 39 | + mlir::LLVM::ConstantOp |
| 40 | + genI32Constant(mlir::Location loc, mlir::ConversionPatternRewriter &rewriter, |
| 41 | + int value) const; |
| 42 | + |
| 43 | + mlir::LLVM::ConstantOp |
| 44 | + genConstantOffset(mlir::Location loc, |
| 45 | + mlir::ConversionPatternRewriter &rewriter, |
| 46 | + int offset) const; |
| 47 | + |
| 48 | + /// Perform an extension or truncation as needed on an integer value. Lowering |
| 49 | + /// to the specific target may involve some sign-extending or truncation of |
| 50 | + /// values, particularly to fit them from abstract box types to the |
| 51 | + /// appropriate reified structures. |
| 52 | + mlir::Value integerCast(mlir::Location loc, |
| 53 | + mlir::ConversionPatternRewriter &rewriter, |
| 54 | + mlir::Type ty, mlir::Value val) const; |
| 55 | + struct TypePair { |
| 56 | + mlir::Type fir; |
| 57 | + mlir::Type llvm; |
| 58 | + }; |
| 59 | + |
| 60 | + TypePair getBoxTypePair(mlir::Type firBoxTy) const; |
| 61 | + |
| 62 | + /// Construct code sequence to extract the specific value from a `fir.box`. |
| 63 | + mlir::Value getValueFromBox(mlir::Location loc, TypePair boxTy, |
| 64 | + mlir::Value box, mlir::Type resultTy, |
| 65 | + mlir::ConversionPatternRewriter &rewriter, |
| 66 | + int boxValue) const; |
| 67 | + |
| 68 | + /// Method to construct code sequence to get the triple for dimension `dim` |
| 69 | + /// from a box. |
| 70 | + llvm::SmallVector<mlir::Value, 3> |
| 71 | + getDimsFromBox(mlir::Location loc, llvm::ArrayRef<mlir::Type> retTys, |
| 72 | + TypePair boxTy, mlir::Value box, mlir::Value dim, |
| 73 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 74 | + |
| 75 | + llvm::SmallVector<mlir::Value, 3> |
| 76 | + getDimsFromBox(mlir::Location loc, llvm::ArrayRef<mlir::Type> retTys, |
| 77 | + TypePair boxTy, mlir::Value box, int dim, |
| 78 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 79 | + |
| 80 | + mlir::Value |
| 81 | + loadDimFieldFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box, |
| 82 | + mlir::Value dim, int off, mlir::Type ty, |
| 83 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 84 | + |
| 85 | + mlir::Value |
| 86 | + getDimFieldFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box, |
| 87 | + int dim, int off, mlir::Type ty, |
| 88 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 89 | + |
| 90 | + mlir::Value getStrideFromBox(mlir::Location loc, TypePair boxTy, |
| 91 | + mlir::Value box, unsigned dim, |
| 92 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 93 | + |
| 94 | + /// Read base address from a fir.box. Returned address has type ty. |
| 95 | + mlir::Value |
| 96 | + getBaseAddrFromBox(mlir::Location loc, TypePair boxTy, mlir::Value box, |
| 97 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 98 | + |
| 99 | + mlir::Value |
| 100 | + getElementSizeFromBox(mlir::Location loc, mlir::Type resultTy, TypePair boxTy, |
| 101 | + mlir::Value box, |
| 102 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 103 | + |
| 104 | + // Get the element type given an LLVM type that is of the form |
| 105 | + // (array|struct|vector)+ and the provided indexes. |
| 106 | + mlir::Type getBoxEleTy(mlir::Type type, |
| 107 | + llvm::ArrayRef<std::int64_t> indexes) const; |
| 108 | + |
| 109 | + // Return LLVM type of the object described by a fir.box of \p boxType. |
| 110 | + mlir::Type getLlvmObjectTypeFromBoxType(mlir::Type boxType) const; |
| 111 | + |
| 112 | + /// Read the address of the type descriptor from a box. |
| 113 | + mlir::Value |
| 114 | + loadTypeDescAddress(mlir::Location loc, TypePair boxTy, mlir::Value box, |
| 115 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 116 | + |
| 117 | + // Load the attribute from the \p box and perform a check against \p maskValue |
| 118 | + // The final comparison is implemented as `(attribute & maskValue) != 0`. |
| 119 | + mlir::Value genBoxAttributeCheck(mlir::Location loc, TypePair boxTy, |
| 120 | + mlir::Value box, |
| 121 | + mlir::ConversionPatternRewriter &rewriter, |
| 122 | + unsigned maskValue) const; |
| 123 | + |
| 124 | + template <typename... ARGS> |
| 125 | + mlir::LLVM::GEPOp genGEP(mlir::Location loc, mlir::Type ty, |
| 126 | + mlir::ConversionPatternRewriter &rewriter, |
| 127 | + mlir::Value base, ARGS... args) const { |
| 128 | + llvm::SmallVector<mlir::LLVM::GEPArg> cv = {args...}; |
| 129 | + auto llvmPtrTy = |
| 130 | + mlir::LLVM::LLVMPointerType::get(ty.getContext(), /*addressSpace=*/0); |
| 131 | + return rewriter.create<mlir::LLVM::GEPOp>(loc, llvmPtrTy, ty, base, cv); |
| 132 | + } |
| 133 | + |
| 134 | + // Find the Block in which the alloca should be inserted. |
| 135 | + // The order to recursively find the proper block: |
| 136 | + // 1. An OpenMP Op that will be outlined. |
| 137 | + // 2. A LLVMFuncOp |
| 138 | + // 3. The first ancestor that is an OpenMP Op or a LLVMFuncOp |
| 139 | + mlir::Block *getBlockForAllocaInsert(mlir::Operation *op) const; |
| 140 | + |
| 141 | + // Generate an alloca of size 1 for an object of type \p llvmObjectTy in the |
| 142 | + // allocation address space provided for the architecture in the DataLayout |
| 143 | + // specification. If the address space is different from the devices |
| 144 | + // program address space we perform a cast. In the case of most architectures |
| 145 | + // the program and allocation address space will be the default of 0 and no |
| 146 | + // cast will be emitted. |
| 147 | + mlir::Value |
| 148 | + genAllocaAndAddrCastWithType(mlir::Location loc, mlir::Type llvmObjectTy, |
| 149 | + unsigned alignment, |
| 150 | + mlir::ConversionPatternRewriter &rewriter) const; |
| 151 | + |
| 152 | + const fir::LLVMTypeConverter &lowerTy() const { |
| 153 | + return *static_cast<const fir::LLVMTypeConverter *>( |
| 154 | + this->getTypeConverter()); |
| 155 | + } |
| 156 | + |
| 157 | + void attachTBAATag(mlir::LLVM::AliasAnalysisOpInterface op, |
| 158 | + mlir::Type baseFIRType, mlir::Type accessFIRType, |
| 159 | + mlir::LLVM::GEPOp gep) const { |
| 160 | + lowerTy().attachTBAATag(op, baseFIRType, accessFIRType, gep); |
| 161 | + } |
| 162 | + |
| 163 | + unsigned |
| 164 | + getAllocaAddressSpace(mlir::ConversionPatternRewriter &rewriter) const; |
| 165 | + |
| 166 | + unsigned |
| 167 | + getProgramAddressSpace(mlir::ConversionPatternRewriter &rewriter) const; |
| 168 | + |
| 169 | + const fir::FIRToLLVMPassOptions &options; |
| 170 | + |
| 171 | + using ConvertToLLVMPattern::match; |
| 172 | + using ConvertToLLVMPattern::matchAndRewrite; |
| 173 | +}; |
| 174 | + |
| 175 | +template <typename SourceOp> |
| 176 | +class FIROpConversion : public ConvertFIRToLLVMPattern { |
| 177 | +public: |
| 178 | + using OpAdaptor = typename SourceOp::Adaptor; |
| 179 | + |
| 180 | + explicit FIROpConversion(const LLVMTypeConverter &typeConverter, |
| 181 | + const fir::FIRToLLVMPassOptions &options, |
| 182 | + mlir::PatternBenefit benefit = 1) |
| 183 | + : ConvertFIRToLLVMPattern(SourceOp::getOperationName(), |
| 184 | + &typeConverter.getContext(), typeConverter, |
| 185 | + options, benefit) {} |
| 186 | + |
| 187 | + /// Wrappers around the RewritePattern methods that pass the derived op type. |
| 188 | + void rewrite(mlir::Operation *op, mlir::ArrayRef<mlir::Value> operands, |
| 189 | + mlir::ConversionPatternRewriter &rewriter) const final { |
| 190 | + rewrite(mlir::cast<SourceOp>(op), |
| 191 | + OpAdaptor(operands, mlir::cast<SourceOp>(op)), rewriter); |
| 192 | + } |
| 193 | + mlir::LogicalResult match(mlir::Operation *op) const final { |
| 194 | + return match(mlir::cast<SourceOp>(op)); |
| 195 | + } |
| 196 | + mlir::LogicalResult |
| 197 | + matchAndRewrite(mlir::Operation *op, mlir::ArrayRef<mlir::Value> operands, |
| 198 | + mlir::ConversionPatternRewriter &rewriter) const final { |
| 199 | + return matchAndRewrite(mlir::cast<SourceOp>(op), |
| 200 | + OpAdaptor(operands, mlir::cast<SourceOp>(op)), |
| 201 | + rewriter); |
| 202 | + } |
| 203 | + |
| 204 | + /// Rewrite and Match methods that operate on the SourceOp type. These must be |
| 205 | + /// overridden by the derived pattern class. |
| 206 | + virtual mlir::LogicalResult match(SourceOp op) const { |
| 207 | + llvm_unreachable("must override match or matchAndRewrite"); |
| 208 | + } |
| 209 | + virtual void rewrite(SourceOp op, OpAdaptor adaptor, |
| 210 | + mlir::ConversionPatternRewriter &rewriter) const { |
| 211 | + llvm_unreachable("must override rewrite or matchAndRewrite"); |
| 212 | + } |
| 213 | + virtual mlir::LogicalResult |
| 214 | + matchAndRewrite(SourceOp op, OpAdaptor adaptor, |
| 215 | + mlir::ConversionPatternRewriter &rewriter) const { |
| 216 | + if (mlir::failed(match(op))) |
| 217 | + return mlir::failure(); |
| 218 | + rewrite(op, adaptor, rewriter); |
| 219 | + return mlir::success(); |
| 220 | + } |
| 221 | + |
| 222 | +private: |
| 223 | + using ConvertFIRToLLVMPattern::matchAndRewrite; |
| 224 | + using ConvertToLLVMPattern::match; |
| 225 | +}; |
| 226 | + |
| 227 | +/// FIR conversion pattern template |
| 228 | +template <typename FromOp> |
| 229 | +class FIROpAndTypeConversion : public FIROpConversion<FromOp> { |
| 230 | +public: |
| 231 | + using FIROpConversion<FromOp>::FIROpConversion; |
| 232 | + using OpAdaptor = typename FromOp::Adaptor; |
| 233 | + |
| 234 | + mlir::LogicalResult |
| 235 | + matchAndRewrite(FromOp op, OpAdaptor adaptor, |
| 236 | + mlir::ConversionPatternRewriter &rewriter) const final { |
| 237 | + mlir::Type ty = this->convertType(op.getType()); |
| 238 | + return doRewrite(op, ty, adaptor, rewriter); |
| 239 | + } |
| 240 | + |
| 241 | + virtual mlir::LogicalResult |
| 242 | + doRewrite(FromOp addr, mlir::Type ty, OpAdaptor adaptor, |
| 243 | + mlir::ConversionPatternRewriter &rewriter) const = 0; |
| 244 | +}; |
| 245 | + |
| 246 | +} // namespace fir |
| 247 | + |
| 248 | +#endif // FORTRAN_OPTIMIZER_CODEGEN_FIROPPATTERNS_H |
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