| // Copyright 2021 The IREE Authors |
| // |
| // Licensed under the Apache License v2.0 with LLVM Exceptions. |
| // See https://llvm.org/LICENSE.txt for license information. |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| |
| #include "iree/compiler/Codegen/Common/Passes.h" |
| #include "iree/compiler/Codegen/Dialect/Codegen/IR/IREECodegenDialect.h" |
| #include "iree/compiler/Codegen/Dialect/GPU/TargetUtils/KnownTargets.h" |
| #include "iree/compiler/Codegen/LLVMGPU/Passes.h" |
| #include "iree/compiler/Codegen/Utils/GPUUtils.h" |
| #include "iree/compiler/Dialect/HAL/Target/TargetRegistry.h" |
| #include "iree/compiler/Dialect/HAL/Utils/ExecutableDebugInfoUtils.h" |
| #include "iree/compiler/Dialect/HAL/Utils/LLVMLinkerUtils.h" |
| #include "iree/compiler/PluginAPI/Client.h" |
| #include "iree/compiler/Utils/FlatbufferUtils.h" |
| #include "iree/compiler/Utils/ModuleUtils.h" |
| #include "iree/compiler/Utils/StringUtils.h" |
| #include "iree/compiler/Utils/ToolUtils.h" |
| #include "iree/schemas/cuda_executable_def_builder.h" |
| #include "iree_cuda/libdevice_embedded.h" |
| #include "llvm/Analysis/TargetTransformInfo.h" |
| #include "llvm/Bitcode/BitcodeReader.h" |
| #include "llvm/Bitcode/BitcodeWriter.h" |
| #include "llvm/IR/Constants.h" |
| #include "llvm/IR/LegacyPassManager.h" |
| #include "llvm/IR/Module.h" |
| #include "llvm/IR/Verifier.h" |
| #include "llvm/Linker/Linker.h" |
| #include "llvm/MC/TargetRegistry.h" |
| #include "llvm/Passes/PassBuilder.h" |
| #include "llvm/Passes/StandardInstrumentations.h" |
| #include "llvm/Support/FileSystem.h" |
| #include "llvm/Support/FileUtilities.h" |
| #include "llvm/Support/FormatVariadic.h" |
| #include "llvm/Support/MemoryBuffer.h" |
| #include "llvm/Support/Program.h" |
| #include "llvm/Support/TargetSelect.h" |
| #include "llvm/Support/WithColor.h" |
| #include "llvm/Support/raw_ostream.h" |
| #include "llvm/Target/TargetMachine.h" |
| #include "llvm/Transforms/IPO.h" |
| #include "llvm/Transforms/IPO/Internalize.h" |
| #include "mlir/Dialect/GPU/IR/GPUDialect.h" |
| #include "mlir/Dialect/LLVMIR/LLVMDialect.h" |
| #include "mlir/Dialect/NVGPU/IR/NVGPUDialect.h" |
| #include "mlir/Dialect/Transform/IR/TransformDialect.h" |
| #include "mlir/Pass/PassManager.h" |
| #include "mlir/Support/LogicalResult.h" |
| #include "mlir/Target/LLVMIR/Dialect/Builtin/BuiltinToLLVMIRTranslation.h" |
| #include "mlir/Target/LLVMIR/Dialect/LLVMIR/LLVMToLLVMIRTranslation.h" |
| #include "mlir/Target/LLVMIR/Dialect/NVVM/NVVMToLLVMIRTranslation.h" |
| #include "mlir/Target/LLVMIR/Export.h" |
| |
| namespace mlir::iree_compiler::IREE::HAL { |
| |
| namespace { |
| struct CUDAOptions { |
| std::string clTarget = "sm_60"; |
| std::string clTargetFeatures = "+ptx76"; |
| bool clUsePtxas = false; |
| std::string clUsePtxasFrom; |
| std::string clUsePtxasParams; |
| |
| void bindOptions(OptionsBinder &binder) { |
| static llvm::cl::OptionCategory category("CUDA HAL Target"); |
| |
| binder.opt<std::string>( |
| "iree-cuda-target", clTarget, llvm::cl::cat(category), |
| llvm::cl::desc( |
| // clang-format off |
| "CUDA target as expected by LLVM NVPTX backend; e.g., " |
| "'sm_80'/'sm_90' for targeting Ampere/Hopper GPUs. " |
| "Additionally this also supports architecture code names like " |
| "'turing'/'ampere' or some product names like 'a100'/'rtx3090ti' " |
| "for a better experience. See " |
| "https://iree.dev/guides/deployment-configurations/gpu-cuda " |
| "for more details." |
| // clang-format on |
| )); |
| |
| binder.opt<std::string>( |
| "iree-cuda-target-features", clTargetFeatures, llvm::cl::cat(category), |
| llvm::cl::desc( |
| "CUDA target features as expected by LLVM NVPTX backend; e.g. " |
| "use '+ptxNN' to set PTX version to NN.")); |
| |
| binder.opt<bool>( |
| "iree-cuda-use-ptxas", clUsePtxas, llvm::cl::cat(category), |
| llvm::cl::desc( |
| "Whether to use the ptxas tool to assemble the generated PTX " |
| "code and put the generated CUBIN binary file into the executable. " |
| "If not set, directly embeds the PTX into the executable. " |
| "To specify the exact ptxas tool path, use " |
| "'--iree-cuda-use-ptxas-from'. To pass " |
| "additional parameters to ptxas, use " |
| "'--iree-cuda-use-ptxas-params', e.g. " |
| "'--iree-cuda-use-ptxas-params=-v'")); |
| |
| binder.opt<std::string>( |
| "iree-cuda-use-ptxas-from", clUsePtxasFrom, llvm::cl::cat(category), |
| llvm::cl::desc("Uses the ptxas tool from the given path. Requires " |
| "'--iree-cuda-use-ptxas' to be true.")); |
| |
| binder.opt<std::string>( |
| "iree-cuda-use-ptxas-params", clUsePtxasParams, llvm::cl::cat(category), |
| llvm::cl::desc("Passes the given additional parameters to ptxas. " |
| "Requires '--iree-cuda-use-ptxas' to be true.")); |
| } |
| |
| LogicalResult verify(mlir::Builder &builder) const { |
| if (GPU::normalizeCUDATarget(clTarget).empty()) { |
| return emitError(builder.getUnknownLoc(), "Unknown CUDA target '") |
| << clTarget << "'"; |
| } |
| return success(); |
| } |
| }; |
| } // namespace |
| |
| static constexpr char kPtxasCompilerName[] = "ptxas"; |
| |
| /// Attempts to find ptxas compiler |
| static FailureOr<std::string> findPtxasCompiler(const CUDAOptions &options, |
| std::string *message) { |
| std::string ptxasCompiler; |
| if (!options.clUsePtxasFrom.empty()) |
| ptxasCompiler = options.clUsePtxasFrom; |
| if (llvm::sys::fs::exists(ptxasCompiler)) |
| return ptxasCompiler; |
| |
| ptxasCompiler = findTool(kPtxasCompilerName); |
| if (llvm::sys::fs::exists(ptxasCompiler)) |
| return ptxasCompiler; |
| |
| *message = std::string( |
| "Could not find ptxas compiler. Try passing it explicitly with " |
| "--iree-cuda-use-ptxas-from=<path> flag"); |
| return failure(); |
| } |
| |
| /// Compiles the given generated PTX code with the given ptxas compiler. |
| static FailureOr<std::string> compileWithPtxas(StringRef ptxasCompiler, |
| StringRef smCapability, |
| StringRef ptxasParams, |
| StringRef ptxSource, |
| std::string *message) { |
| // Step 1. Create temporary files: ptx source file, log file and cubin file |
| llvm::SmallString<64> ptxSourceFile, stdinFile, stdoutFile, stderrFile; |
| llvm::sys::fs::createTemporaryFile("iree-ptx", "", ptxSourceFile); |
| llvm::sys::fs::createTemporaryFile("ptxas-stdin", "", stdinFile); |
| llvm::sys::fs::createTemporaryFile("ptxas-stdout", "", stdoutFile); |
| llvm::sys::fs::createTemporaryFile("ptxas-stderr", "", stderrFile); |
| std::string cubinFile = std::string(ptxSourceFile) + ".cubin"; |
| llvm::FileRemover stdinRemover(stdinFile.c_str()); |
| llvm::FileRemover stdoutRemover(stdoutFile.c_str()); |
| llvm::FileRemover stderrRemover(stderrFile.c_str()); |
| llvm::FileRemover binRemover(cubinFile.c_str()); |
| llvm::FileRemover srcRemover(ptxSourceFile.c_str()); |
| |
| // Step 2. Write the generated PTX into a file, so we can pass it to ptxas |
| // compiler |
| std::error_code ec; |
| llvm::raw_fd_ostream fPtxSource(ptxSourceFile, ec); |
| fPtxSource << ptxSource; |
| fPtxSource.close(); |
| if (fPtxSource.has_error()) { |
| *message = std::string( |
| "Could not write the generated ptx into a temporary file\n"); |
| return failure(); |
| } |
| |
| // Step 3. Build the ptxas command line |
| std::vector<StringRef> ArgVector{ |
| StringRef(kPtxasCompilerName), StringRef("-arch"), smCapability, |
| StringRef(ptxSourceFile), StringRef("-o"), StringRef(cubinFile)}; |
| #ifdef _WIN32 |
| auto Tokenize = llvm::cl::TokenizeWindowsCommandLine; |
| #else |
| auto Tokenize = llvm::cl::TokenizeGNUCommandLine; |
| #endif // _WIN32 |
| llvm::BumpPtrAllocator scratchAllocator; |
| llvm::StringSaver stringSaver(scratchAllocator); |
| SmallVector<const char *> rawArgs; |
| Tokenize(ptxasParams, stringSaver, rawArgs, /*MarkEOLs=*/false); |
| for (auto rawArg : rawArgs) |
| ArgVector.push_back(StringRef(rawArg)); |
| |
| std::optional<StringRef> redirects[] = { |
| stdinFile.str(), |
| stdoutFile.str(), |
| stderrFile.str(), |
| }; |
| |
| // Step 4. Invoke ptxas |
| if (llvm::sys::ExecuteAndWait(unescapeCommandLineComponent(ptxasCompiler), |
| llvm::ArrayRef<llvm::StringRef>(ArgVector), |
| /*Env=*/std::nullopt, |
| /*Redirects=*/redirects, |
| /*SecondsToWait=*/0, /*MemoryLimit=*/0, |
| /*ErrMsg=*/message)) { |
| if (message->empty()) { |
| *message = std::string("Invoking ptxas is failed, see the file: ") + |
| stderrFile.str().str() + std::string("\n"); |
| } |
| stderrRemover.releaseFile(); |
| return failure(); |
| } |
| |
| // Step 5. The output of ptxas if verbose flag is set. This is useful |
| // because it shows local memory usage, register usage, and etc. |
| if (ptxasParams.find("-v") != StringRef::npos) { |
| llvm::ErrorOr<std::unique_ptr<llvm::MemoryBuffer>> maybeFlog = |
| llvm::MemoryBuffer::getFile(stderrFile); |
| if (maybeFlog) { |
| llvm::WithColor::note() << maybeFlog->get()->getBuffer().str(); |
| } |
| } |
| |
| // Step 6. Read the cubin file, and return. It will eventually be written |
| // into executable. |
| llvm::ErrorOr<std::unique_ptr<llvm::MemoryBuffer>> maybeFcubin = |
| llvm::MemoryBuffer::getFile(cubinFile); |
| if (!maybeFcubin) { |
| *message = std::string("Could not read cubin file \n"); |
| return failure(); |
| } |
| |
| return std::string(maybeFcubin->get()->getBuffer()); |
| } |
| |
| // Attempt compiling the PtxImage with ptxas compiler. If the compilation fails |
| // for some reason return and pack the generated PtxImage code in the |
| // executable, let the runtime compile. |
| static std::string produceGpuImage(const CUDAOptions &options, |
| StringRef targetArch, |
| std::string &ptxImage) { |
| if (!options.clUsePtxas) |
| return ptxImage; |
| |
| std::string message; |
| FailureOr<std::string> ptxasCompiler = findPtxasCompiler(options, &message); |
| |
| if (succeeded(ptxasCompiler)) { |
| FailureOr<std::string> maybeCubinImage = |
| compileWithPtxas(ptxasCompiler.value(), targetArch, |
| options.clUsePtxasParams, ptxImage, &message); |
| if (succeeded(maybeCubinImage)) |
| return maybeCubinImage.value(); |
| } |
| |
| llvm::WithColor::warning() |
| << "Compilation with `ptxas` failed, the generated ptx will be " |
| "packaged into the executable and compiled at runtime. \n Error : " |
| << message << " \n"; |
| |
| return ptxImage; |
| } |
| |
| static void dumpModuleToPath(StringRef path, StringRef baseName, |
| StringRef suffix, StringRef extension, |
| llvm::Module &module) { |
| llvm::SmallVector<char, 0> data; |
| llvm::raw_svector_ostream ostream(data); |
| module.print(ostream, nullptr); |
| dumpDataToPath(path, baseName, suffix, extension, |
| StringRef(data.data(), data.size())); |
| } |
| |
| static std::string translateModuleToISA(llvm::Module &module, |
| llvm::TargetMachine &targetMachine) { |
| std::string targetISA; |
| { |
| llvm::raw_string_ostream stream(targetISA); |
| llvm::buffer_ostream pstream(stream); |
| llvm::legacy::PassManager codegenPasses; |
| targetMachine.addPassesToEmitFile(codegenPasses, pstream, nullptr, |
| llvm::CodeGenFileType::AssemblyFile); |
| codegenPasses.run(module); |
| } |
| return targetISA; |
| } |
| |
| /// Resolve __nv function by linking libdevice module. |
| /// |objectAttrs| may optionally specify additional bitcode files to link into |
| /// the generated code. |
| static LogicalResult linkObjects(Location loc, llvm::Module &module, |
| llvm::TargetMachine &targetMachine, |
| ArrayAttr objectAttrs) { |
| // Ensure consistent target information. |
| const llvm::Triple &targetTriple = targetMachine.getTargetTriple(); |
| module.setDataLayout(targetMachine.createDataLayout()); |
| module.setTargetTriple(targetTriple); |
| |
| auto specializationCallback = [&](llvm::Module &userModule) { |
| // TODO(thomasraoux): inject __nvvm_reflect-style functions/globals for |
| // bitcode specialization based on the targetMachine and configuration. |
| // These could use any information we have on the IREE side as well as the |
| // TargetMachine instead of just what __nvvm_reflect supports (arch/etc). |
| }; |
| |
| // Link user modules and libdevice (if required). |
| // Note that linking order matters: |
| llvm::Linker linker(module); |
| if (failed(linkCmdlineBitcodeFiles(loc, linker, llvm::Linker::OverrideFromSrc, |
| targetMachine, module.getContext()))) { |
| return failure(); |
| } |
| |
| unsigned linkerFlags = |
| llvm::Linker::LinkOnlyNeeded | llvm::Linker::OverrideFromSrc; |
| if (failed(linkBitcodeObjects(loc, linker, linkerFlags, targetMachine, |
| objectAttrs, module.getContext(), |
| specializationCallback))) { |
| return mlir::emitError(loc) |
| << "failed linking in user objects for target triple '" |
| << targetTriple.str() << "'"; |
| } |
| |
| if (anyRequiredSymbols(module, "__nv_")) { |
| llvm::MemoryBufferRef bitcodeBufferRef( |
| llvm::StringRef(libdevice_embedded_create()->data, |
| libdevice_embedded_create()->size), |
| "libdevice.xx.bc"); |
| if (failed(linkBitcodeModule( |
| loc, linker, linkerFlags, targetMachine, "libdevice.xx.bc", |
| llvm::parseBitcodeFile(bitcodeBufferRef, module.getContext())))) { |
| return mlir::emitError(loc) << "failed linking in embedded libdevice " |
| "bitcode for target triple '" |
| << targetTriple.str() << "'"; |
| } |
| } |
| |
| return success(); |
| } |
| |
| /// Performs optimizations on |module| (including LTO-style whole-program ones). |
| static void optimizeModule(llvm::Module &module, |
| llvm::TargetMachine &targetMachine, |
| const std::array<int32_t, 3> &maxWorkgroupSize) { |
| llvm::LoopAnalysisManager lam; |
| llvm::FunctionAnalysisManager fam; |
| llvm::CGSCCAnalysisManager cgam; |
| llvm::ModuleAnalysisManager mam; |
| |
| fam.registerPass([&] { return targetMachine.getTargetIRAnalysis(); }); |
| |
| llvm::PipelineTuningOptions pto; |
| pto.SLPVectorization = false; |
| |
| llvm::PassInstrumentationCallbacks pic; |
| |
| llvm::StandardInstrumentations si(module.getContext(), false); |
| si.registerCallbacks(pic, &mam); |
| |
| llvm::PassBuilder pb(&targetMachine, pto, std::nullopt, &pic); |
| llvm::ModulePassManager mpm; |
| StringRef nnvmReflectPassName = "nvvm-reflect"; |
| if (pb.parsePassPipeline(mpm, nnvmReflectPassName)) { |
| llvm::errs() << "Could not parse -" << nnvmReflectPassName << "\n"; |
| } |
| pb.registerModuleAnalyses(mam); |
| pb.registerCGSCCAnalyses(cgam); |
| pb.registerFunctionAnalyses(fam); |
| pb.registerLoopAnalyses(lam); |
| pb.crossRegisterProxies(lam, fam, cgam, mam); |
| |
| llvm::OptimizationLevel ol = llvm::OptimizationLevel::O2; |
| |
| mpm.addPass(llvm::VerifierPass()); |
| llvm::FunctionPassManager fpm; |
| mpm.addPass(createModuleToFunctionPassAdaptor(std::move(fpm))); |
| mpm.addPass(pb.buildPerModuleDefaultPipeline(ol)); |
| mpm.addPass(llvm::VerifierPass()); |
| |
| mpm.run(module, mam); |
| } |
| |
| class CUDATargetDevice final : public TargetDevice { |
| public: |
| CUDATargetDevice(const CUDAOptions &options) : options(options) {} |
| |
| IREE::HAL::DeviceTargetAttr |
| getDefaultDeviceTarget(MLIRContext *context, |
| const TargetRegistry &targetRegistry) const override { |
| Builder b(context); |
| auto deviceConfigAttr = b.getDictionaryAttr({}); |
| auto executableConfigAttr = b.getDictionaryAttr({}); |
| |
| // If we had multiple target environments we would generate one target attr |
| // per environment, with each setting its own environment attribute. |
| SmallVector<IREE::HAL::ExecutableTargetAttr> executableTargetAttrs; |
| targetRegistry.getTargetBackend("cuda")->getDefaultExecutableTargets( |
| context, "cuda", executableConfigAttr, executableTargetAttrs); |
| |
| return IREE::HAL::DeviceTargetAttr::get(context, b.getStringAttr("cuda"), |
| deviceConfigAttr, |
| executableTargetAttrs); |
| } |
| |
| private: |
| const CUDAOptions &options; |
| }; |
| |
| class CUDATargetBackend final : public TargetBackend { |
| public: |
| CUDATargetBackend(const CUDAOptions &options) : options(options) {} |
| |
| std::string getLegacyDefaultDeviceID() const override { return "cuda"; } |
| |
| void getDefaultExecutableTargets( |
| MLIRContext *context, StringRef deviceID, DictionaryAttr deviceConfigAttr, |
| SmallVectorImpl<IREE::HAL::ExecutableTargetAttr> &executableTargetAttrs) |
| const override { |
| executableTargetAttrs.push_back(getExecutableTarget(context)); |
| } |
| |
| IREE::HAL::ExecutableTargetAttr |
| getExecutableTarget(MLIRContext *context) const { |
| Builder b(context); |
| SmallVector<NamedAttribute> configItems; |
| if (failed(options.verify(b))) |
| return nullptr; |
| |
| if (auto target = GPU::getCUDATargetDetails( |
| options.clTarget, options.clTargetFeatures, context)) { |
| addConfigGPUTarget(context, target, configItems); |
| } |
| |
| return b.getAttr<IREE::HAL::ExecutableTargetAttr>( |
| b.getStringAttr("cuda"), b.getStringAttr("cuda-nvptx-fb"), |
| b.getDictionaryAttr(configItems)); |
| } |
| |
| void getDependentDialects(DialectRegistry ®istry) const override { |
| // TODO: Derive the use of TransformDialect from inner |
| // `LLVMGPULowerExecutableTargetPass`. |
| registry.insert<gpu::GPUDialect, nvgpu::NVGPUDialect, |
| IREE::Codegen::IREECodegenDialect, |
| transform::TransformDialect, IREE::GPU::IREEGPUDialect>(); |
| mlir::registerBuiltinDialectTranslation(registry); |
| mlir::registerLLVMDialectTranslation(registry); |
| mlir::registerNVVMDialectTranslation(registry); |
| // Configuration may load and manipulate transform dialect libraries. |
| registerTransformDialectTranslationDependentDialects(registry); |
| } |
| |
| void |
| buildConfigurationPassPipeline(IREE::HAL::ExecutableTargetAttr targetAttr, |
| OpPassManager &passManager) override { |
| buildLLVMGPUCodegenConfigurationPassPipeline(passManager); |
| } |
| |
| void buildTranslationPassPipeline(IREE::HAL::ExecutableTargetAttr targetAttr, |
| OpPassManager &passManager) override { |
| buildLLVMGPUCodegenPassPipeline(passManager, false); |
| } |
| |
| void buildLinkingPassPipeline(OpPassManager &passManager) override { |
| buildLLVMGPULinkingPassPipeline(passManager, "cuda"); |
| } |
| |
| LogicalResult serializeExecutable(const SerializationOptions &serOptions, |
| IREE::HAL::ExecutableVariantOp variantOp, |
| OpBuilder &executableBuilder) override { |
| ModuleOp innerModuleOp = variantOp.getInnerModule(); |
| auto targetAttr = variantOp.getTargetAttr(); |
| StringRef targetArch = options.clTarget; |
| StringRef targetFeatures = options.clTargetFeatures; |
| if (auto attr = |
| getGPUTargetAttr(executableBuilder.getContext(), targetAttr)) { |
| targetArch = attr.getArch(); |
| targetFeatures = attr.getFeatures(); |
| } |
| |
| // We name our files after the executable name so that they are easy to |
| // track both during compilation (logs/artifacts/etc), as outputs (final |
| // intermediate code/binary files), and at runtime (loaded |
| // libraries/symbols/etc). |
| auto libraryName = |
| variantOp->getParentOfType<IREE::HAL::ExecutableOp>().getName().str(); |
| |
| // Collect all the entry point names. |
| auto exportOps = llvm::to_vector_of<IREE::HAL::ExecutableExportOp>( |
| variantOp.getExportOps()); |
| llvm::StringMap<IREE::HAL::ExecutableExportOp> exportOpMap; |
| for (IREE::HAL::ExecutableExportOp exportOp : exportOps) { |
| exportOpMap[exportOp.getSymName()] = exportOp; |
| } |
| |
| std::array<int32_t, 3> maxWorkgroupSize = {1, 1, 1}; |
| std::string targetPTX; |
| if (variantOp.isExternal()) { |
| if (!variantOp.getObjects().has_value()) { |
| return variantOp.emitOpError() |
| << "no objects defined for external variant"; |
| } else if (variantOp.getObjects()->getValue().size() != 1) { |
| // For now we assume there will be exactly one object file. |
| // In the future we will want to perform a linking step here and ideally |
| // support _also_ linking in the codegen results. |
| return variantOp.emitOpError() << "only one object reference is " |
| "supported for external variants"; |
| } |
| |
| // Read the PTX from the object file. |
| auto objectAttr = llvm::cast<IREE::HAL::ExecutableObjectAttr>( |
| variantOp.getObjects()->getValue().front()); |
| if (auto data = objectAttr.loadData()) { |
| targetPTX = data.value(); |
| } else { |
| return variantOp.emitOpError() |
| << "object file could not be loaded: " << objectAttr; |
| } |
| } else { |
| // Perform the translation in a separate context to avoid any |
| // multi-threading issues. |
| llvm::LLVMContext context; |
| |
| std::unique_ptr<llvm::Module> llvmModule = |
| mlir::translateModuleToLLVMIR(innerModuleOp, context, libraryName); |
| if (!llvmModule) { |
| return variantOp.emitError() << "failed to translate the MLIR LLVM " |
| "dialect to the native llvm::Module"; |
| } |
| |
| for (auto funcOp : innerModuleOp.getOps<LLVM::LLVMFuncOp>()) { |
| llvm::Function *llvmFunc = llvmModule->getFunction(funcOp.getName()); |
| if (llvmFunc->isDeclaration()) { |
| continue; |
| } |
| |
| // Sanitize the function name as PTX has strict requirements. |
| llvmFunc->setName(sanitizeSymbolName(funcOp.getName())); |
| |
| // Mark the entry point as a kernel. |
| llvmFunc->setCallingConv(llvm::CallingConv::PTX_Kernel); |
| |
| // Set the maximum number of threads in the thread block (CTA). |
| auto exportOp = exportOpMap[funcOp.getName()]; |
| if (auto workgroupSizeAttr = exportOp.getWorkgroupSize()) { |
| auto workgroupSizeValues = workgroupSizeAttr->getValue(); |
| std::array<int32_t, 3> workgroupSize = { |
| static_cast<int32_t>( |
| cast<IntegerAttr>(workgroupSizeValues[0]).getInt()), |
| static_cast<int32_t>( |
| cast<IntegerAttr>(workgroupSizeValues[1]).getInt()), |
| static_cast<int32_t>( |
| cast<IntegerAttr>(workgroupSizeValues[2]).getInt()), |
| }; |
| maxWorkgroupSize[0] = std::max(maxWorkgroupSize[0], workgroupSize[0]); |
| maxWorkgroupSize[1] = std::max(maxWorkgroupSize[1], workgroupSize[1]); |
| maxWorkgroupSize[2] = std::max(maxWorkgroupSize[2], workgroupSize[2]); |
| std::string maxntid = llvm::formatv( |
| "{0},{1},{2}", llvm::utostr(workgroupSize[0]), |
| llvm::utostr(workgroupSize[1]), llvm::utostr(workgroupSize[2])); |
| llvmFunc->addFnAttr("nvvm.maxntid", maxntid); |
| } |
| } |
| |
| std::unique_ptr<llvm::TargetMachine> targetMachine; |
| { |
| llvm::Triple triple("nvptx64-nvidia-cuda"); |
| std::string error; |
| const llvm::Target *target = |
| llvm::TargetRegistry::lookupTarget("", triple, error); |
| if (target == nullptr) { |
| return variantOp.emitError() << "cannot initialize target triple"; |
| } |
| targetMachine.reset(target->createTargetMachine( |
| triple, targetArch, targetFeatures, {}, {})); |
| if (targetMachine == nullptr) { |
| return variantOp.emitError() << "cannot initialize target machine"; |
| } |
| } |
| |
| llvmModule->setDataLayout(targetMachine->createDataLayout()); |
| |
| for (llvm::Function &llvmFunc : llvmModule->functions()) { |
| llvmFunc.addFnAttr(llvm::Attribute::AlwaysInline); |
| } |
| |
| // Link user and device bitcode alongside the generated module. |
| if (failed(linkObjects(variantOp.getLoc(), *llvmModule, *targetMachine, |
| variantOp.getObjectsAttr()))) { |
| return failure(); |
| } |
| |
| if (!serOptions.dumpIntermediatesPath.empty()) { |
| dumpModuleToPath(serOptions.dumpIntermediatesPath, |
| serOptions.dumpBaseName, variantOp.getName(), |
| ".linked.ll", *llvmModule); |
| } |
| |
| // Run LLVM optimization passes. |
| optimizeModule(*llvmModule, *targetMachine, maxWorkgroupSize); |
| if (!serOptions.dumpIntermediatesPath.empty()) { |
| dumpModuleToPath(serOptions.dumpIntermediatesPath, |
| serOptions.dumpBaseName, variantOp.getName(), |
| ".optimized.ll", *llvmModule); |
| } |
| |
| // Serialize ptx kernel into the binary that we will embed in the |
| // final FlatBuffer. |
| targetPTX = translateModuleToISA(*llvmModule, *targetMachine); |
| if (targetPTX.empty()) { |
| return failure(); |
| } |
| } |
| |
| if (!serOptions.dumpBinariesPath.empty()) { |
| dumpDataToPath(serOptions.dumpBinariesPath, serOptions.dumpBaseName, |
| variantOp.getName(), ".ptx", targetPTX); |
| } |
| |
| FlatbufferBuilder builder; |
| iree_hal_cuda_ExecutableDef_start_as_root(builder); |
| |
| auto sourceFilesRef = createSourceFilesVec( |
| serOptions.debugLevel, variantOp.getSourcesAttr(), builder); |
| |
| // Only a single module today. |
| SmallVector<iree_hal_cuda_ModuleDef_ref_t> moduleRefs; |
| { |
| auto ptxImageRef = flatbuffers_string_create(builder, targetPTX.c_str(), |
| targetPTX.size()); |
| moduleRefs.push_back( |
| iree_hal_cuda_ModuleDef_create(builder, ptxImageRef)); |
| } |
| auto modulesRef = builder.createOffsetVecDestructive(moduleRefs); |
| |
| // Generate optional per-export debug information. |
| // May be empty if no debug information was requested. |
| auto exportDebugInfos = |
| createExportDefs(serOptions.debugLevel, exportOps, builder); |
| |
| SmallVector<iree_hal_cuda_ExportDef_ref_t> exportRefs; |
| exportRefs.resize(exportOps.size(), 0); |
| for (auto exportOp : exportOps) { |
| auto ordinalAttr = exportOp.getOrdinalAttr(); |
| if (!ordinalAttr) { |
| return mlir::emitError(exportOp.getLoc()) |
| << "could not compile cuda binary: export op is missing ordinal"; |
| } |
| int64_t ordinal = ordinalAttr.getInt(); |
| |
| auto kernelNameRef = |
| builder.createString(sanitizeSymbolName(exportOp.getName())); |
| |
| iree_hal_cuda_BlockDims_t blockDims = {0}; |
| if (auto workgroupSizeAttr = exportOp.getWorkgroupSize()) { |
| auto workgroupSize = workgroupSizeAttr->getValue(); |
| blockDims.x = cast<IntegerAttr>(workgroupSize[0]).getInt(); |
| blockDims.y = cast<IntegerAttr>(workgroupSize[1]).getInt(); |
| blockDims.z = cast<IntegerAttr>(workgroupSize[2]).getInt(); |
| } |
| |
| uint32_t blockSharedMemorySize = 0; |
| if (std::optional<APInt> workgroupLocalMemoryAttr = |
| exportOp.getWorkgroupLocalMemory()) { |
| blockSharedMemorySize = workgroupLocalMemoryAttr->getSExtValue(); |
| } |
| |
| auto layoutAttr = exportOp.getLayoutAttr(); |
| uint32_t constantCount = static_cast<uint32_t>(layoutAttr.getConstants()); |
| SmallVector<iree_hal_cuda_BindingBits_enum_t> bindingFlags; |
| for (auto bindingAttr : layoutAttr.getBindings()) { |
| iree_hal_cuda_BindingBits_enum_t flags = 0; |
| if (allEnumBitsSet(bindingAttr.getFlags(), |
| IREE::HAL::DescriptorFlags::ReadOnly)) { |
| flags |= iree_hal_cuda_BindingBits_READ_ONLY; |
| } |
| if (allEnumBitsSet(bindingAttr.getFlags(), |
| IREE::HAL::DescriptorFlags::Indirect)) { |
| flags |= iree_hal_cuda_BindingBits_INDIRECT; |
| } |
| bindingFlags.push_back(flags); |
| } |
| auto bindingFlagsRef = iree_hal_cuda_BindingBits_vec_create( |
| builder, bindingFlags.data(), bindingFlags.size()); |
| |
| iree_hal_cuda_ExportDef_start(builder); |
| iree_hal_cuda_ExportDef_module_ordinal_add(builder, 0); // always 0 today |
| iree_hal_cuda_ExportDef_kernel_name_add(builder, kernelNameRef); |
| iree_hal_cuda_ExportDef_block_dims_add(builder, &blockDims); |
| iree_hal_cuda_ExportDef_block_shared_memory_size_add( |
| builder, blockSharedMemorySize); |
| iree_hal_cuda_ExportDef_constant_count_add(builder, constantCount); |
| iree_hal_cuda_ExportDef_binding_flags_add(builder, bindingFlagsRef); |
| iree_hal_cuda_ExportDef_debug_info_add(builder, |
| exportDebugInfos[ordinal]); |
| exportRefs[ordinal] = iree_hal_cuda_ExportDef_end(builder); |
| } |
| auto exportsRef = builder.createOffsetVecDestructive(exportRefs); |
| |
| iree_hal_cuda_ExecutableDef_exports_add(builder, exportsRef); |
| iree_hal_cuda_ExecutableDef_modules_add(builder, modulesRef); |
| iree_hal_cuda_ExecutableDef_source_files_add(builder, sourceFilesRef); |
| iree_hal_cuda_ExecutableDef_end_as_root(builder); |
| |
| // Add the binary data to the target executable. |
| executableBuilder.create<IREE::HAL::ExecutableBinaryOp>( |
| variantOp.getLoc(), variantOp.getSymName(), |
| variantOp.getTarget().getFormat(), |
| builder.getBufferAttr(executableBuilder.getContext())); |
| |
| return success(); |
| } |
| |
| private: |
| const CUDAOptions &options; |
| }; |
| |
| namespace { |
| struct CUDASession |
| : public PluginSession<CUDASession, CUDAOptions, |
| PluginActivationPolicy::DefaultActivated> { |
| void populateHALTargetDevices(IREE::HAL::TargetDeviceList &targets) { |
| // #hal.device.target<"cuda", ... |
| targets.add("cuda", |
| [&]() { return std::make_shared<CUDATargetDevice>(options); }); |
| } |
| void populateHALTargetBackends(IREE::HAL::TargetBackendList &targets) { |
| // #hal.executable.target<"cuda", ... |
| targets.add("cuda", [&]() { |
| LLVMInitializeNVPTXTarget(); |
| LLVMInitializeNVPTXTargetMC(); |
| LLVMInitializeNVPTXTargetInfo(); |
| LLVMInitializeNVPTXAsmPrinter(); |
| return std::make_shared<CUDATargetBackend>(options); |
| }); |
| } |
| }; |
| |
| } // namespace |
| |
| } // namespace mlir::iree_compiler::IREE::HAL |
| |
| extern "C" bool iree_register_compiler_plugin_hal_target_cuda( |
| mlir::iree_compiler::PluginRegistrar *registrar) { |
| registrar->registerPlugin<mlir::iree_compiler::IREE::HAL::CUDASession>( |
| "hal_target_cuda"); |
| return true; |
| } |
| |
| IREE_DEFINE_COMPILER_OPTION_FLAGS(mlir::iree_compiler::IREE::HAL::CUDAOptions); |
