| 1 | //===-- CUFAddConstructor.cpp ---------------------------------------------===// |
| 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 | #include "flang/Optimizer/Builder/BoxValue.h" |
| 10 | #include "flang/Optimizer/Builder/CUFCommon.h" |
| 11 | #include "flang/Optimizer/Builder/FIRBuilder.h" |
| 12 | #include "flang/Optimizer/Builder/Runtime/RTBuilder.h" |
| 13 | #include "flang/Optimizer/Builder/Todo.h" |
| 14 | #include "flang/Optimizer/CodeGen/Target.h" |
| 15 | #include "flang/Optimizer/CodeGen/TypeConverter.h" |
| 16 | #include "flang/Optimizer/Dialect/CUF/CUFOps.h" |
| 17 | #include "flang/Optimizer/Dialect/FIRAttr.h" |
| 18 | #include "flang/Optimizer/Dialect/FIRDialect.h" |
| 19 | #include "flang/Optimizer/Dialect/FIROps.h" |
| 20 | #include "flang/Optimizer/Dialect/FIROpsSupport.h" |
| 21 | #include "flang/Optimizer/Dialect/FIRType.h" |
| 22 | #include "flang/Optimizer/Support/DataLayout.h" |
| 23 | #include "flang/Runtime/CUDA/registration.h" |
| 24 | #include "flang/Runtime/entry-names.h" |
| 25 | #include "mlir/Dialect/DLTI/DLTI.h" |
| 26 | #include "mlir/Dialect/GPU/IR/GPUDialect.h" |
| 27 | #include "mlir/Dialect/LLVMIR/LLVMAttrs.h" |
| 28 | #include "mlir/Dialect/LLVMIR/LLVMDialect.h" |
| 29 | #include "mlir/IR/Value.h" |
| 30 | #include "mlir/Pass/Pass.h" |
| 31 | #include "llvm/ADT/SmallVector.h" |
| 32 | |
| 33 | namespace fir { |
| 34 | #define GEN_PASS_DEF_CUFADDCONSTRUCTOR |
| 35 | #include "flang/Optimizer/Transforms/Passes.h.inc" |
| 36 | } // namespace fir |
| 37 | |
| 38 | using namespace Fortran::runtime::cuda; |
| 39 | |
| 40 | namespace { |
| 41 | |
| 42 | static constexpr llvm::StringRef cudaFortranCtorName{ |
| 43 | "__cudaFortranConstructor" }; |
| 44 | |
| 45 | struct CUFAddConstructor |
| 46 | : public fir::impl::CUFAddConstructorBase<CUFAddConstructor> { |
| 47 | |
| 48 | void runOnOperation() override { |
| 49 | mlir::ModuleOp mod = getOperation(); |
| 50 | mlir::SymbolTable symTab(mod); |
| 51 | mlir::OpBuilder opBuilder{mod.getBodyRegion()}; |
| 52 | fir::FirOpBuilder builder(opBuilder, mod); |
| 53 | fir::KindMapping kindMap{fir::getKindMapping(mod)}; |
| 54 | builder.setInsertionPointToEnd(mod.getBody()); |
| 55 | mlir::Location loc = mod.getLoc(); |
| 56 | auto *ctx = mod.getContext(); |
| 57 | auto voidTy = mlir::LLVM::LLVMVoidType::get(ctx); |
| 58 | auto idxTy = builder.getIndexType(); |
| 59 | auto funcTy = |
| 60 | mlir::LLVM::LLVMFunctionType::get(voidTy, {}, /*isVarArg=*/false); |
| 61 | std::optional<mlir::DataLayout> dl = |
| 62 | fir::support::getOrSetMLIRDataLayout(mod, /*allowDefaultLayout=*/false); |
| 63 | if (!dl) { |
| 64 | mlir::emitError(mod.getLoc(), |
| 65 | "data layout attribute is required to perform " + |
| 66 | getName() + "pass" ); |
| 67 | } |
| 68 | |
| 69 | // Symbol reference to CUFRegisterAllocator. |
| 70 | builder.setInsertionPointToEnd(mod.getBody()); |
| 71 | auto registerFuncOp = builder.create<mlir::LLVM::LLVMFuncOp>( |
| 72 | loc, RTNAME_STRING(CUFRegisterAllocator), funcTy); |
| 73 | registerFuncOp.setVisibility(mlir::SymbolTable::Visibility::Private); |
| 74 | auto cufRegisterAllocatorRef = mlir::SymbolRefAttr::get( |
| 75 | mod.getContext(), RTNAME_STRING(CUFRegisterAllocator)); |
| 76 | builder.setInsertionPointToEnd(mod.getBody()); |
| 77 | |
| 78 | // Create the constructor function that call CUFRegisterAllocator. |
| 79 | auto func = builder.create<mlir::LLVM::LLVMFuncOp>(loc, cudaFortranCtorName, |
| 80 | funcTy); |
| 81 | func.setLinkage(mlir::LLVM::Linkage::Internal); |
| 82 | builder.setInsertionPointToStart(func.addEntryBlock(builder)); |
| 83 | builder.create<mlir::LLVM::CallOp>(loc, funcTy, cufRegisterAllocatorRef); |
| 84 | |
| 85 | auto gpuMod = symTab.lookup<mlir::gpu::GPUModuleOp>(cudaDeviceModuleName); |
| 86 | if (gpuMod) { |
| 87 | auto llvmPtrTy = mlir::LLVM::LLVMPointerType::get(ctx); |
| 88 | auto registeredMod = builder.create<cuf::RegisterModuleOp>( |
| 89 | loc, llvmPtrTy, mlir::SymbolRefAttr::get(ctx, gpuMod.getName())); |
| 90 | |
| 91 | fir::LLVMTypeConverter typeConverter(mod, /*applyTBAA=*/false, |
| 92 | /*forceUnifiedTBAATree=*/false, *dl); |
| 93 | // Register kernels |
| 94 | for (auto func : gpuMod.getOps<mlir::gpu::GPUFuncOp>()) { |
| 95 | if (func.isKernel()) { |
| 96 | auto kernelName = mlir::SymbolRefAttr::get( |
| 97 | builder.getStringAttr(cudaDeviceModuleName), |
| 98 | {mlir::SymbolRefAttr::get(builder.getContext(), func.getName())}); |
| 99 | builder.create<cuf::RegisterKernelOp>(loc, kernelName, registeredMod); |
| 100 | } |
| 101 | } |
| 102 | |
| 103 | // Register variables |
| 104 | for (fir::GlobalOp globalOp : mod.getOps<fir::GlobalOp>()) { |
| 105 | auto attr = globalOp.getDataAttrAttr(); |
| 106 | if (!attr) |
| 107 | continue; |
| 108 | |
| 109 | if (attr.getValue() == cuf::DataAttribute::Managed && |
| 110 | !mlir::isa<fir::BaseBoxType>(globalOp.getType())) |
| 111 | TODO(loc, "registration of non-allocatable managed variables" ); |
| 112 | |
| 113 | mlir::func::FuncOp func; |
| 114 | switch (attr.getValue()) { |
| 115 | case cuf::DataAttribute::Device: |
| 116 | case cuf::DataAttribute::Constant: |
| 117 | case cuf::DataAttribute::Managed: { |
| 118 | func = fir::runtime::getRuntimeFunc<mkRTKey(CUFRegisterVariable)>( |
| 119 | loc, builder); |
| 120 | auto fTy = func.getFunctionType(); |
| 121 | |
| 122 | // Global variable name |
| 123 | std::string gblNameStr = globalOp.getSymbol().getValue().str(); |
| 124 | gblNameStr += '\0'; |
| 125 | mlir::Value gblName = fir::getBase( |
| 126 | fir::factory::createStringLiteral(builder, loc, gblNameStr)); |
| 127 | |
| 128 | // Global variable size |
| 129 | std::optional<uint64_t> size; |
| 130 | if (auto boxTy = |
| 131 | mlir::dyn_cast<fir::BaseBoxType>(globalOp.getType())) { |
| 132 | mlir::Type structTy = typeConverter.convertBoxTypeAsStruct(boxTy); |
| 133 | size = dl->getTypeSizeInBits(structTy) / 8; |
| 134 | } |
| 135 | if (!size) { |
| 136 | size = fir::getTypeSizeAndAlignmentOrCrash(loc, globalOp.getType(), |
| 137 | *dl, kindMap) |
| 138 | .first; |
| 139 | } |
| 140 | auto sizeVal = builder.createIntegerConstant(loc, idxTy, *size); |
| 141 | |
| 142 | // Global variable address |
| 143 | mlir::Value addr = builder.create<fir::AddrOfOp>( |
| 144 | loc, globalOp.resultType(), globalOp.getSymbol()); |
| 145 | |
| 146 | llvm::SmallVector<mlir::Value> args{fir::runtime::createArguments( |
| 147 | builder, loc, fTy, registeredMod, addr, gblName, sizeVal)}; |
| 148 | builder.create<fir::CallOp>(loc, func, args); |
| 149 | } break; |
| 150 | default: |
| 151 | break; |
| 152 | } |
| 153 | } |
| 154 | } |
| 155 | builder.create<mlir::LLVM::ReturnOp>(loc, mlir::ValueRange{}); |
| 156 | |
| 157 | // Create the llvm.global_ctor with the function. |
| 158 | // TODO: We might want to have a utility that retrieve it if already |
| 159 | // created and adds new functions. |
| 160 | builder.setInsertionPointToEnd(mod.getBody()); |
| 161 | llvm::SmallVector<mlir::Attribute> funcs; |
| 162 | funcs.push_back( |
| 163 | mlir::FlatSymbolRefAttr::get(mod.getContext(), func.getSymName())); |
| 164 | llvm::SmallVector<int> priorities; |
| 165 | llvm::SmallVector<mlir::Attribute> data; |
| 166 | priorities.push_back(0); |
| 167 | data.push_back(mlir::LLVM::ZeroAttr::get(mod.getContext())); |
| 168 | builder.create<mlir::LLVM::GlobalCtorsOp>( |
| 169 | mod.getLoc(), builder.getArrayAttr(funcs), |
| 170 | builder.getI32ArrayAttr(priorities), builder.getArrayAttr(data)); |
| 171 | } |
| 172 | }; |
| 173 | |
| 174 | } // end anonymous namespace |
| 175 | |